1,804 results on '"Bhattacharjee, A."'
Search Results
2. Measurement of beauty-quark production in pp collisions at s $$ \sqrt{s} $$ = 13 TeV via non-prompt D mesons
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The ALICE collaboration, S. Acharya, D. Adamová, A. Agarwal, G. Aglieri Rinella, L. Aglietta, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, A. Akindinov, V. Akishina, M. Al-Turany, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, B. Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, G. Alocco, T. Alt, A. R. Altamura, I. Altsybeev, J. R. Alvarado, M. N. Anaam, C. Andrei, N. Andreou, A. Andronic, E. Andronov, V. Anguelov, F. Antinori, P. Antonioli, N. Apadula, L. Aphecetche, H. Appelshäuser, C. Arata, S. Arcelli, M. Aresti, R. Arnaldi, J. G. M. C. A. Arneiro, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, M. D. Azmi, H. Baba, A. Badalà, J. Bae, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, R. Bala, A. Balbino, A. Baldisseri, B. Balis, D. Banerjee, Z. Banoo, F. Barile, L. Barioglio, M. Barlou, B. Barman, G. G. Barnaföldi, L. S. Barnby, E. Barreau, V. Barret, L. Barreto, C. Bartels, K. Barth, E. Bartsch, N. Bastid, S. Basu, G. Batigne, D. Battistini, B. Batyunya, D. Bauri, J. L. Bazo Alba, I. G. Bearden, C. Beattie, P. Becht, D. Behera, I. Belikov, A. D. C. Bell Hechavarria, F. Bellini, R. Bellwied, S. Belokurova, L. G. E. Beltran, Y. A. V. Beltran, G. Bencedi, A. Bensaoula, S. Beole, Y. Berdnikov, A. Berdnikova, L. Bergmann, M. G. Besoiu, L. Betev, P. P. Bhaduri, A. Bhasin, M. A. Bhat, B. Bhattacharjee, L. Bianchi, N. Bianchi, J. Bielčík, J. Bielčíková, A. P. Bigot, A. Bilandzic, G. Biro, S. Biswas, N. Bize, J. T. Blair, D. Blau, M. B. Blidaru, N. Bluhme, C. Blume, G. Boca, F. Bock, T. Bodova, J. Bok, L. Boldizsár, M. Bombara, P. M. Bond, G. Bonomi, H. Borel, A. Borissov, A. G. Borquez Carcamo, H. Bossi, E. Botta, Y. E. M. Bouziani, L. Bratrud, P. Braun-Munzinger, M. Bregant, M. Broz, G. E. Bruno, M. D. Buckland, D. Budnikov, H. Buesching, S. Bufalino, P. Buhler, N. Burmasov, Z. Buthelezi, A. Bylinkin, S. A. Bysiak, J. C. Cabanillas Noris, M. F. T. Cabrera, M. Cai, H. Caines, A. Caliva, E. Calvo Villar, J. M. M. Camacho, P. Camerini, F. D. M. Canedo, S. L. Cantway, M. Carabas, A. A. Carballo, F. Carnesecchi, R. Caron, L. A. D. Carvalho, J. Castillo Castellanos, M. Castoldi, F. Catalano, S. Cattaruzzi, C. Ceballos Sanchez, R. Cerri, I. Chakaberia, P. Chakraborty, S. Chandra, S. Chapeland, M. Chartier, S. Chattopadhay, S. Chattopadhyay, T. Cheng, C. Cheshkov, V. Chibante Barroso, D. D. Chinellato, E. S. Chizzali, J. Cho, S. Cho, P. Chochula, D. Choudhury, P. Christakoglou, C. H. Christensen, P. Christiansen, T. Chujo, M. Ciacco, C. Cicalo, M. R. Ciupek, G. Clai, F. Colamaria, J. S. Colburn, D. Colella, M. Colocci, M. Concas, G. Conesa Balbastre, Z. Conesa del Valle, G. Contin, J. G. Contreras, M. L. Coquet, P. Cortese, M. R. Cosentino, F. Costa, S. Costanza, C. Cot, J. Crkovská, P. Crochet, R. Cruz-Torres, P. Cui, A. Dainese, G. Dange, M. C. Danisch, A. Danu, P. Das, S. Das, A. R. Dash, S. Dash, A. De Caro, G. de Cataldo, J. de Cuveland, A. De Falco, D. De Gruttola, N. De Marco, C. De Martin, S. De Pasquale, R. Deb, R. Del Grande, L. Dello Stritto, W. Deng, K. C. Devereaux, P. Dhankher, D. Di Bari, A. Di Mauro, B. Diab, R. A. Diaz, T. Dietel, Y. Ding, J. Ditzel, R. Divià, D. U. Dixit, Ø. Djuvsland, U. Dmitrieva, A. Dobrin, B. Dönigus, J. M. Dubinski, A. Dubla, S. Dudi, P. Dupieux, N. Dzalaiova, T. M. Eder, R. J. Ehlers, F. Eisenhut, R. Ejima, D. Elia, B. Erazmus, F. Ercolessi, B. Espagnon, G. Eulisse, D. Evans, S. Evdokimov, L. Fabbietti, M. Faggin, J. Faivre, F. Fan, W. Fan, A. Fantoni, M. Fasel, A. Feliciello, G. Feofilov, A. Fernández Téllez, L. Ferrandi, M. B. Ferrer, A. Ferrero, C. Ferrero, A. Ferretti, V. J. G. Feuillard, V. Filova, D. Finogeev, F. M. Fionda, E. Flatland, F. Flor, A. N. Flores, S. Foertsch, I. Fokin, S. Fokin, U. Follo, E. Fragiacomo, E. Frajna, U. Fuchs, N. Funicello, C. Furget, A. Furs, T. Fusayasu, J. J. Gaardhøje, M. Gagliardi, A. M. Gago, T. Gahlaut, C. D. Galvan, D. R. Gangadharan, P. Ganoti, C. Garabatos, T. García Chávez, E. Garcia-Solis, C. Gargiulo, P. Gasik, H. M. Gaur, A. Gautam, M. B. Gay Ducati, M. Germain, A. Ghimouz, C. Ghosh, M. Giacalone, G. Gioachin, P. Giubellino, P. Giubilato, A. M. C. Glaenzer, P. Glässel, E. Glimos, D. J. Q. Goh, V. Gonzalez, P. Gordeev, M. Gorgon, K. Goswami, S. Gotovac, V. Grabski, L. K. Graczykowski, E. Grecka, A. Grelli, C. Grigoras, V. Grigoriev, S. Grigoryan, F. Grosa, J. F. Grosse-Oetringhaus, R. Grosso, D. Grund, N. A. Grunwald, G. G. Guardiano, R. Guernane, M. Guilbaud, K. Gulbrandsen, T. Gündem, T. Gunji, W. Guo, A. Gupta, R. Gupta, K. Gwizdziel, L. Gyulai, C. Hadjidakis, F. U. Haider, S. Haidlova, M. Haldar, H. Hamagaki, A. Hamdi, Y. Han, B. G. Hanley, R. Hannigan, J. Hansen, M. R. Haque, J. W. Harris, A. Harton, M. V. Hartung, H. Hassan, D. Hatzifotiadou, P. Hauer, L. B. Havener, E. Hellbär, H. Helstrup, M. Hemmer, T. Herman, S. G. Hernandez, G. Herrera Corral, F. Herrmann, S. Herrmann, K. F. Hetland, B. Heybeck, H. Hillemanns, B. Hippolyte, F. W. Hoffmann, B. Hofman, G. H. Hong, M. Horst, A. Horzyk, Y. Hou, P. Hristov, P. Huhn, L. M. Huhta, T. J. Humanic, A. Hutson, D. Hutter, M. C. Hwang, R. Ilkaev, H. Ilyas, M. Inaba, G. M. Innocenti, M. Ippolitov, A. Isakov, T. Isidori, M. S. Islam, M. Ivanov, V. Ivanov, K. E. Iversen, M. Jablonski, B. Jacak, N. Jacazio, P. M. Jacobs, S. Jadlovska, J. Jadlovsky, S. Jaelani, C. Jahnke, M. J. Jakubowska, M. A. Janik, T. Janson, S. Ji, S. Jia, T. Jiang, A. A. P. Jimenez, F. Jonas, D. M. Jones, J. M. Jowett, J. Jung, M. Jung, A. Junique, A. Jusko, J. Kaewjai, P. Kalinak, A. Kalweit, A. Karasu Uysal, D. Karatovic, O. Karavichev, T. Karavicheva, E. Karpechev, M. J. Karwowska, U. Kebschull, R. Keidel, D. L. D. Keijdener, M. Keil, B. Ketzer, S. S. Khade, A. M. Khan, S. Khan, A. Khanzadeev, Y. Kharlov, A. Khatun, A. Khuntia, Z. Khuranova, B. Kileng, B. Kim, C. Kim, D. J. Kim, E. J. Kim, J. Kim, M. Kim, S. Kim, T. Kim, K. Kimura, A. Kirkova, S. Kirsch, I. Kisel, S. Kiselev, A. Kisiel, J. P. Kitowski, J. L. Klay, J. Klein, S. Klein, C. Klein-Bösing, M. Kleiner, T. Klemenz, A. Kluge, C. Kobdaj, R. Kohara, T. Kollegger, A. Kondratyev, N. Kondratyeva, J. Konig, S. A. Konigstorfer, P. J. Konopka, G. Kornakov, M. Korwieser, S. D. Koryciak, A. Kotliarov, N. Kovacic, V. Kovalenko, M. Kowalski, V. Kozhuharov, I. Králik, A. Kravčáková, L. Krcal, M. Krivda, F. Krizek, K. Krizkova Gajdosova, C. Krug, M. Krüger, D. M. Krupova, E. Kryshen, V. Kučera, C. Kuhn, P. G. Kuijer, T. Kumaoka, D. Kumar, L. Kumar, N. Kumar, S. Kumar, S. Kundu, P. Kurashvili, A. Kurepin, A. B. Kurepin, A. Kuryakin, S. Kushpil, V. Kuskov, M. Kutyla, M. J. Kweon, Y. Kwon, S. L. La Pointe, P. La Rocca, A. Lakrathok, M. Lamanna, A. R. Landou, R. Langoy, P. Larionov, E. Laudi, L. Lautner, R. A. N. Laveaga, R. Lavicka, R. Lea, H. Lee, I. Legrand, G. Legras, J. Lehrbach, T. M. Lelek, R. C. Lemmon, I. León Monzón, M. M. Lesch, E. D. Lesser, P. Lévai, X. Li, B. E. Liang-gilman, J. Lien, R. Lietava, I. Likmeta, B. Lim, S. H. Lim, V. Lindenstruth, A. Lindner, C. Lippmann, D. H. Liu, J. Liu, G. S. S. Liveraro, I. M. Lofnes, C. Loizides, S. Lokos, J. Lömker, P. Loncar, X. Lopez, E. López Torres, P. Lu, F. V. Lugo, J. R. Luhder, M. Lunardon, G. Luparello, Y. G. Ma, M. Mager, A. Maire, E. M. Majerz, M. V. Makariev, M. Malaev, G. Malfattore, N. M. Malik, Q. W. Malik, S. K. Malik, L. Malinina, D. Mallick, N. Mallick, G. Mandaglio, S. K. Mandal, A. Manea, V. Manko, F. Manso, V. Manzari, Y. Mao, R. W. Marcjan, G. V. Margagliotti, A. Margotti, A. Marín, C. Markert, P. Martinengo, M. I. Martínez, G. Martínez García, M. P. P. Martins, S. Masciocchi, M. Masera, A. Masoni, L. Massacrier, O. Massen, A. Mastroserio, O. Matonoha, S. Mattiazzo, A. Matyja, A. L. Mazuecos, F. Mazzaschi, M. Mazzilli, J. E. Mdhluli, Y. Melikyan, A. Menchaca-Rocha, J. E. M. Mendez, E. Meninno, A. S. Menon, M. W. Menzel, M. Meres, Y. Miake, L. Micheletti, D. L. Mihaylov, K. Mikhaylov, N. Minafra, D. Miśkowiec, A. Modak, B. Mohanty, M. Mohisin Khan, M. A. Molander, S. Monira, C. Mordasini, D. A. Moreira De Godoy, I. Morozov, A. Morsch, T. Mrnjavac, V. Muccifora, S. Muhuri, J. D. Mulligan, A. Mulliri, M. G. Munhoz, R. H. Munzer, H. Murakami, S. Murray, L. Musa, J. Musinsky, J. W. Myrcha, B. Naik, A. I. Nambrath, B. K. Nandi, R. Nania, E. Nappi, A. F. Nassirpour, A. Nath, C. Nattrass, M. N. Naydenov, A. Neagu, A. Negru, E. Nekrasova, L. Nellen, R. Nepeivoda, S. Nese, G. Neskovic, N. Nicassio, B. S. Nielsen, E. G. Nielsen, S. Nikolaev, S. Nikulin, V. Nikulin, F. Noferini, S. Noh, P. Nomokonov, J. Norman, N. Novitzky, P. Nowakowski, A. Nyanin, J. Nystrand, S. Oh, A. Ohlson, V. A. Okorokov, J. Oleniacz, A. Onnerstad, C. Oppedisano, A. Ortiz Velasquez, J. Otwinowski, M. Oya, K. Oyama, Y. Pachmayer, S. Padhan, D. Pagano, G. Paić, S. Paisano-Guzmán, A. Palasciano, S. Panebianco, H. Park, J. E. Parkkila, Y. Patley, B. Paul, M. M. D. M. Paulino, H. Pei, T. Peitzmann, X. Peng, M. Pennisi, S. Perciballi, D. Peresunko, G. M. Perez, Y. Pestov, V. Petrov, M. Petrovici, R. P. Pezzi, S. Piano, M. Pikna, P. Pillot, O. Pinazza, L. Pinsky, C. Pinto, S. Pisano, M. Płoskoń, M. Planinic, F. Pliquett, M. G. Poghosyan, B. Polichtchouk, S. Politano, N. Poljak, A. Pop, S. Porteboeuf-Houssais, V. Pozdniakov, I. Y. Pozos, K. K. Pradhan, S. K. Prasad, S. Prasad, R. Preghenella, F. Prino, C. A. Pruneau, I. Pshenichnov, M. Puccio, S. Pucillo, S. Qiu, L. Quaglia, S. Ragoni, A. Rai, A. Rakotozafindrabe, L. Ramello, F. Rami, M. Rasa, S. S. Räsänen, R. Rath, M. P. Rauch, I. Ravasenga, K. F. Read, C. Reckziegel, A. R. Redelbach, K. Redlich, C. A. Reetz, H. D. Regules-Medel, A. Rehman, F. Reidt, H. A. Reme-Ness, Z. Rescakova, K. Reygers, A. Riabov, V. Riabov, R. Ricci, M. Richter, A. A. Riedel, W. Riegler, A. G. Riffero, C. Ripoli, C. Ristea, M. V. Rodriguez, M. Rodríguez Cahuantzi, S. A. Rodríguez Ramírez, K. Røed, R. Rogalev, E. Rogochaya, T. S. Rogoschinski, D. Rohr, D. Röhrich, S. Rojas Torres, P. S. Rokita, G. Romanenko, F. Ronchetti, E. D. Rosas, K. Roslon, A. Rossi, A. Roy, S. Roy, N. Rubini, D. Ruggiano, R. Rui, P. G. Russek, R. Russo, A. Rustamov, E. Ryabinkin, Y. Ryabov, A. Rybicki, J. Ryu, W. Rzesa, O. A. M. Saarimaki, S. Sadhu, S. Sadovsky, J. Saetre, K. Šafařík, S. K. Saha, S. Saha, B. Sahoo, R. Sahoo, S. Sahoo, D. Sahu, P. K. Sahu, J. Saini, K. Sajdakova, S. Sakai, M. P. Salvan, S. Sambyal, D. Samitz, I. Sanna, T. B. Saramela, D. Sarkar, P. Sarma, V. Sarritzu, V. M. Sarti, M. H. P. Sas, S. Sawan, E. Scapparone, J. Schambach, H. S. Scheid, C. Schiaua, R. Schicker, F. Schlepper, A. Schmah, C. Schmidt, H. R. Schmidt, M. O. Schmidt, M. Schmidt, N. V. Schmidt, A. R. Schmier, R. Schotter, A. Schröter, J. Schukraft, K. Schweda, G. Scioli, E. Scomparin, J. E. Seger, Y. Sekiguchi, D. Sekihata, M. Selina, I. Selyuzhenkov, S. Senyukov, J. J. Seo, D. Serebryakov, L. Serkin, L. Šerkšnytė, A. Sevcenco, T. J. Shaba, A. Shabetai, R. Shahoyan, A. Shangaraev, B. Sharma, D. Sharma, H. Sharma, M. Sharma, S. Sharma, U. Sharma, A. Shatat, O. Sheibani, K. Shigaki, M. Shimomura, J. Shin, S. Shirinkin, Q. Shou, Y. Sibiriak, S. Siddhanta, T. Siemiarczuk, T. F. Silva, D. Silvermyr, T. Simantathammakul, R. Simeonov, B. Singh, K. Singh, R. Singh, S. Singh, V. K. Singh, V. Singhal, T. Sinha, B. Sitar, M. Sitta, T. B. Skaali, G. Skorodumovs, N. Smirnov, R. J. M. Snellings, E. H. Solheim, J. Song, C. Sonnabend, J. M. Sonneveld, F. Soramel, A. B. Soto-hernandez, R. Spijkers, I. Sputowska, J. Staa, J. Stachel, I. Stan, P. J. Steffanic, S. F. Stiefelmaier, D. Stocco, I. Storehaug, N. J. Strangmann, P. Stratmann, S. Strazzi, A. Sturniolo, C. P. Stylianidis, A. A. P. Suaide, C. Suire, M. Sukhanov, M. Suljic, R. Sultanov, V. Sumberia, S. Sumowidagdo, I. Szarka, M. Szymkowski, S. F. Taghavi, G. Taillepied, J. Takahashi, G. J. Tambave, S. Tang, Z. Tang, J. D. Tapia Takaki, N. Tapus, L. A. Tarasovicova, M. G. Tarzila, G. F. Tassielli, A. Tauro, A. Tavira García, G. Tejeda Muñoz, A. Telesca, L. Terlizzi, C. Terrevoli, S. Thakur, D. Thomas, A. Tikhonov, N. Tiltmann, A. R. Timmins, M. Tkacik, T. Tkacik, A. Toia, R. Tokumoto, S. Tomassini, K. Tomohiro, N. Topilskaya, M. Toppi, T. Tork, V. V. Torres, A. G. Torres Ramos, A. Trifiró, A. S. Triolo, S. Tripathy, T. Tripathy, V. Trubnikov, W. H. Trzaska, T. P. Trzcinski, A. Tumkin, R. Turrisi, T. S. Tveter, K. Ullaland, B. Ulukutlu, A. Uras, M. Urioni, G. L. Usai, M. Vala, N. Valle, L. V. R. van Doremalen, M. van Leeuwen, C. A. van Veen, R. J. G. van Weelden, P. Vande Vyvre, D. Varga, Z. Varga, P. Vargas Torres, M. Vasileiou, A. Vasiliev, O. Vázquez Doce, O. Vazquez Rueda, V. Vechernin, E. Vercellin, S. Vergara Limón, R. Verma, L. Vermunt, R. Vértesi, M. Verweij, L. Vickovic, Z. Vilakazi, O. Villalobos Baillie, A. Villani, A. Vinogradov, T. Virgili, M. M. O. Virta, V. Vislavicius, A. Vodopyanov, B. Volkel, M. A. Völkl, S. A. Voloshin, G. Volpe, B. von Haller, I. Vorobyev, N. Vozniuk, J. Vrláková, J. Wan, C. Wang, D. Wang, Y. Wang, A. Wegrzynek, F. T. Weiglhofer, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, B. Windelband, M. Winn, J. R. Wright, W. Wu, Y. Wu, Z. Xiong, R. Xu, A. Yadav, A. K. Yadav, S. Yalcin, Y. Yamaguchi, S. Yang, S. Yano, E. R. Yeats, Z. Yin, I.-K. Yoo, J. H. Yoon, H. Yu, S. Yuan, A. Yuncu, V. Zaccolo, C. Zampolli, M. Zang, F. Zanone, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, M. Zhalov, B. Zhang, C. Zhang, L. Zhang, M. Zhang, S. Zhang, X. Zhang, Y. Zhang, Z. Zhang, M. Zhao, V. Zherebchevskii, Y. Zhi, C. Zhong, D. Zhou, Y. Zhou, J. Zhu, Y. Zhu, S. C. Zugravel, and N. Zurlo
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Hadron-Hadron Scattering ,Heavy Quark Production ,QCD ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract The p T-differential production cross sections of non-prompt D0, D+, and D s + $$ {\textrm{D}}_{\textrm{s}}^{+} $$ mesons originating from beauty-hadron decays are measured in proton–proton collisions at a centre-of-mass energy s $$ \sqrt{s} $$ = 13 TeV. The measurements are performed at midrapidity, |y| < 0.5, with the data sample collected by ALICE from 2016 to 2018. The results are in agreement with predictions from several perturbative QCD calculations. The fragmentation fraction of beauty quarks to strange mesons divided by the one to non-strange mesons, f s /(f u + f d), is found to be 0.114 ± 0.016 (stat.) ± 0.006 (syst.) ± 0.003 (BR) ± 0.003 (extrap.). This value is compatible with previous measurements at lower centre-of-mass energies and in different collision systems in agreement with the assumption of universality of fragmentation functions. In addition, the dependence of the non-prompt D meson production on the centre-of-mass energy is investigated by comparing the results obtained at s $$ \sqrt{s} $$ = 5.02 and 13 TeV, showing a hardening of the non-prompt D-meson p T-differential production cross section at higher s $$ \sqrt{s} $$ . Finally, the b b ¯ $$ \textrm{b}\overline{\textrm{b}} $$ production cross section per unit of rapidity at midrapidity is calculated from the non-prompt D0, D+, D s + $$ {\textrm{D}}_{\textrm{s}}^{+} $$ , and Λ c + $$ {\Lambda}_{\textrm{c}}^{+} $$ hadron measurements, obtaining d σ / d y = 75.2 ± 3.2 stat . ± 5.2 syst . − 3.2 + 12.3 extrap . $$ \textrm{d}\sigma /\textrm{d}y=75.2\pm 3.2\left(\textrm{stat}.\right)\pm 5.2{\left(\textrm{syst}.\right)}_{-3.2}^{+12.3}\left(\textrm{extrap}.\right) $$ μb.
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- 2024
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3. Clinical-exome sequencing unveils the genetic landscape of polycystic ovarian syndrome (PCOS) focusing on lean and obese phenotypes: implications for cost-effective diagnosis and personalized treatment
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Shrinjana Dhar and Pritha Bhattacharjee
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Polycystic ovarian syndrome (PCOS) ,Next-generation sequencing (NGS) ,Clinical-exome sequencing (CES) ,Comorbidity analysis ,Mutation-phenotype interactions ,Molecular screening ,Medicine ,Science - Abstract
Abstract Polycystic ovarian syndrome (PCOS) is one of the most common endocrinopathies among reproductive women worldwide, contributing greatly on the incidence of female infertility and gynecological cancers. It is a complex health condition combining of multiple symptoms like androgen excess, uncontrolled weight gain, alopecia, hirsutism, etc. Conventionally PCOS was associated with obesity while it is often found among lean women nowadays, making the disease more critical to diagnose as well treatment. The disorder has an impact on several signal transduction pathways, including steroidogenesis, steroid hormone activity, gonadotrophin regulation, insulin secretion, energy balance, and chronic inflammation. Understanding the aetiology and pathophysiology of PCOS is difficult due to its multiple causes, which include environmental factors, intricate genetic predisposition, and epigenetic modifications. Despite research supporting the role of familial aggregations in PCOS outcomes, the inheritance pattern remains unknown. Henceforth, to reduce the burden of PCOS, it is inevitably important to diagnose at early ages as well as intervene through personalized medicine. With this brief background, it was imperative to elucidate the genetic architecture of PCOS considering BMI as an controlling factor. This study aims to investigate the genetic basis behind obesity-mediated PCOS, focusing on both obese and lean individuals. It uses a comprehensive bioinformatics methodology to depict pathways and functionality enrichment, allowing for cost-effective risk prediction and management. In the present research, the representative study participants (N = 2) were chosen from a cross-sectional epidemiological survey, based on their anthropometric parameters and confirmation of PCOS. Upon voluntary participation and written consent, biological fluids (whole blood and buccal swab) were taken from where DNA was extracted. The clinical-exome sequencing was performed by the Next-generation Illumina platform using the Twist Human Comprehensive Exome Kit. A comprehensive bioinformatics methodology was employed to identify the most important, unique, and common genes. A total of 26,550 variants were identified in clinically important exomes from two samples, with 5170 common and 2232 and 2322 unique among PCOS lean and obese phenotypes, respectively. Only 262 and 94 variants were PCOS-specific in lean and obese PCOS. Three filters were applied to shortlist the most potent variants, with 4 unique variants in lean PCOS, 2 unique variants in obese PCOS, and 5 common variants in both. The study found that leptin signalling impairment and insulin resistance, as well as mutations in CYP1A1, CYP19A1, ESR1, AR, AMH, AdipoR1, NAMPT, NPY, PTEN, EGFR, and Akt, all play significant roles in PCOS in the studied group. Young women in West Bengal, India, are more likely to have co-occurring PCOS, which includes estrogen resistance, leptin receptor insufficiency, folate deficiency, T2DM, and acanthosis nigricans, with obesity being a common phenotypic expression.
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- 2024
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4. Exploratory analysis of the potential impact of violence on HIV among female sex workers in Mombasa, Kenya: a mathematical modelling study
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Michael Pickles, Elisa Mountain, Parinita Bhattacharjee, Japheth Kioko, Janet Musimbi, Helgar Musyoki, Peter Gichangi, James Stannah, Mathieu Maheu-Giroux, Marissa Becker, and Marie-Claude Boily
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HIV ,AIDS ,Structural determinants ,Structural interventions ,Mathematical modelling ,Causal pathways ,Medicine - Abstract
Abstract Background Understanding the frequency of violence experienced by female sex workers (FSWs) and how violence contributes to HIV transmission can help improve HIV programs. Methods Using recent recommendations for modelling structural factors and associated causal pathways, we developed a HIV transmission dynamic model for FSWs and their clients in Mombasa, Kenya, mechanistically representing three types of violence (sexual violence, SV; physical violence, PV; police assault and arrest, PAA). Each type of violence affects HIV transmission through key mediators (condom non-use, HIV testing). We parameterized the model using data from a cross-sectional study of FSWs aged 15–24 recruited from a systematic geographical mapping sampling frame in Mombasa, Kenya (Cheuk E et al., Frontiers in Reproductive Health 2(7), 2020). Using this model, calibrated (and cross-validated) to HIV epidemiological and violence outcomes, we estimated the incidence of violence episodes, the contribution of violence to the HIV epidemic measured by the transmission population-attributable fraction, and the potential impact of possible violence interventions. Results The median estimated incidence of PAA in 2023 among FSWs who had not previously experienced that type of violence was 0.20 (95% credible interval: 0.17–0.22) per person-year (ppy), about double the incidence of SV and PV (0.10 (0.09–0.11), 0.11 (0.09–0.12), respectively). The incidence of violence was higher among FSWs who had previously experienced violence: the incidence of recurrent PV was 2.65 (1.82–3.37) ppy, while the incidence of recurrent SV and PAA were 1.26 (0.80–1.67) and 1.37 (0.94–1.74 ppy, respectively. In this setting, we estimated that a median of 35.3% (3.4–55.8%) infections in FSWs and clients combined over the next 10 years may be due to all types of violence (and mediators), mainly through reduced condom use in FSWs who have ever experienced SV (34.6% (2.4–55.5%)). Interventions that prevent future violence without mitigating the effects of past violence may only prevent 8.8% (0.8–14.0%) infections over 10 years. Conclusions FSWs in Mombasa experience violence frequently. In this population, we find that addressing sexual violence, including mitigating the effects of past violence, is potentially important in reducing HIV transmission in this population. However, the wide uncertainty range shows longitudinal studies are needed to strengthen the evidence of the influence of violence on HIV risk behavior. We find that the recommendations for modelling structural factors provide a useful framework for describing the model.
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- 2024
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5. Multiplicity dependence of charged-particle intra-jet properties in pp collisions at $$\sqrt{{{\varvec{s}}}}$$ s = 13 TeV
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ALICE Collaboration, S. Acharya, D. Adamová, G. Aglieri Rinella, L. Aglietta, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, A. Akindinov, M. Al-Turany, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, B. Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, G. Alocco, T. Alt, A. R. Altamura, I. Altsybeev, J. R. Alvarado, M. N. Anaam, C. Andrei, N. Andreou, A. Andronic, E. Andronov, V. Anguelov, F. Antinori, P. Antonioli, N. Apadula, L. Aphecetche, H. Appelshäuser, C. Arata, S. Arcelli, M. Aresti, R. Arnaldi, J. G. M. C. A. Arneiro, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, M. D. Azmi, H. Baba, A. Badalà, J. Bae, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, R. Bala, A. Balbino, A. Baldisseri, B. Balis, D. Banerjee, Z. Banoo, F. Barile, L. Barioglio, M. Barlou, B. Barman, G. G. Barnaföldi, L. S. Barnby, E. Barreau, V. Barret, L. Barreto, C. Bartels, K. Barth, E. Bartsch, N. Bastid, S. Basu, G. Batigne, D. Battistini, B. Batyunya, D. Bauri, J. L. Bazo Alba, I. G. Bearden, C. Beattie, P. Becht, D. Behera, I. Belikov, A. D. C. Bell Hechavarria, F. Bellini, R. Bellwied, S. Belokurova, L. G. E. Beltran, Y. A. V. Beltran, G. Bencedi, S. Beole, Y. Berdnikov, A. Berdnikova, L. Bergmann, M. G. Besoiu, L. Betev, P. P. Bhaduri, A. Bhasin, M. A. Bhat, B. Bhattacharjee, L. Bianchi, N. Bianchi, J. Bielčík, J. Bielčíková, A. P. Bigot, A. Bilandzic, G. Biro, S. Biswas, N. Bize, J. T. Blair, D. Blau, M. B. Blidaru, N. Bluhme, C. Blume, G. Boca, F. Bock, T. Bodova, S. Boi, J. Bok, L. Boldizsár, M. Bombara, P. M. Bond, G. Bonomi, H. Borel, A. Borissov, A. G. Borquez Carcamo, H. Bossi, E. Botta, Y. E. M. Bouziani, L. Bratrud, P. Braun-Munzinger, M. Bregant, M. Broz, G. E. Bruno, M. D. Buckland, D. Budnikov, H. Buesching, S. Bufalino, P. Buhler, N. Burmasov, Z. Buthelezi, A. Bylinkin, S. A. Bysiak, J. C. Cabanillas Noris, M. Cai, H. Caines, A. Caliva, E. Calvo Villar, J. M. M. Camacho, P. Camerini, F. D. M. Canedo, S. L. Cantway, M. Carabas, A. A. Carballo, F. Carnesecchi, R. Caron, L. A. D. Carvalho, J. Castillo Castellanos, F. Catalano, S. Cattaruzzi, C. Ceballos Sanchez, R. Cerri, I. Chakaberia, P. Chakraborty, S. Chandra, S. Chapeland, M. Chartier, S. Chattopadhyay, T. Cheng, C. Cheshkov, V. Chibante Barroso, D. D. Chinellato, E. S. Chizzali, J. Cho, S. Cho, P. Chochula, D. Choudhury, P. Christakoglou, C. H. Christensen, P. Christiansen, T. Chujo, M. Ciacco, C. Cicalo, M. R. Ciupek, G. Clai, F. Colamaria, J. S. Colburn, D. Colella, M. Colocci, M. Concas, G. Conesa Balbastre, Z. Conesa del Valle, G. Contin, J. G. Contreras, M. L. Coquet, P. Cortese, M. R. Cosentino, F. Costa, S. Costanza, C. Cot, J. Crkovská, P. Crochet, R. Cruz-Torres, P. Cui, A. Dainese, M. C. Danisch, A. Danu, P. Das, S. Das, A. R. Dash, S. Dash, A. De Caro, G. de Cataldo, J. de Cuveland, A. De Falco, D. De Gruttola, N. De Marco, C. De Martin, S. De Pasquale, R. Deb, R. Del Grande, L. Dello Stritto, W. Deng, P. Dhankher, D. Di Bari, A. Di Mauro, B. Diab, R. A. Diaz, T. Dietel, Y. Ding, J. Ditzel, R. Divià, D. U. Dixit, Ø. Djuvsland, U. Dmitrieva, A. Dobrin, B. Dönigus, J. M. Dubinski, A. Dubla, S. Dudi, P. Dupieux, M. Durkac, N. Dzalaiova, T. M. Eder, R. J. Ehlers, F. Eisenhut, R. Ejima, D. Elia, B. Erazmus, F. Ercolessi, B. Espagnon, G. Eulisse, D. Evans, S. Evdokimov, L. Fabbietti, M. Faggin, J. Faivre, F. Fan, W. Fan, A. Fantoni, M. Fasel, A. Feliciello, G. Feofilov, A. Fernández Téllez, L. Ferrandi, M. B. Ferrer, A. Ferrero, C. Ferrero, A. Ferretti, V. J. G. Feuillard, V. Filova, D. Finogeev, F. M. Fionda, E. Flatland, F. Flor, A. N. Flores, S. Foertsch, I. Fokin, S. Fokin, E. Fragiacomo, E. Frajna, U. Fuchs, N. Funicello, C. Furget, A. Furs, T. Fusayasu, J. J. Gaardhøje, M. Gagliardi, A. M. Gago, T. Gahlaut, C. D. Galvan, D. R. Gangadharan, P. Ganoti, C. Garabatos, T. García Chávez, E. Garcia-Solis, C. Gargiulo, P. Gasik, A. Gautam, M. B. Gay Ducati, M. Germain, A. Ghimouz, C. Ghosh, M. Giacalone, G. Gioachin, P. Giubellino, P. Giubilato, A. M. C. Glaenzer, P. Glässel, E. Glimos, D. J. Q. Goh, V. Gonzalez, P. Gordeev, M. Gorgon, K. Goswami, S. Gotovac, V. Grabski, L. K. Graczykowski, E. Grecka, A. Grelli, C. Grigoras, V. Grigoriev, S. Grigoryan, F. Grosa, J. F. Grosse-Oetringhaus, R. Grosso, D. Grund, N. A. Grunwald, G. G. Guardiano, R. Guernane, M. Guilbaud, K. Gulbrandsen, T. Gündem, T. Gunji, W. Guo, A. Gupta, R. Gupta, K. Gwizdziel, L. Gyulai, C. Hadjidakis, F. U. Haider, S. Haidlova, M. Haldar, H. Hamagaki, A. Hamdi, Y. Han, B. G. Hanley, R. Hannigan, J. Hansen, J. W. Harris, A. Harton, M. V. Hartung, H. Hassan, D. Hatzifotiadou, P. Hauer, L. B. Havener, E. Hellbär, H. Helstrup, M. Hemmer, T. Herman, G. Herrera Corral, F. Herrmann, S. Herrmann, K. F. Hetland, B. Heybeck, H. Hillemanns, B. Hippolyte, F. W. Hoffmann, B. Hofman, G. H. Hong, M. Horst, A. Horzyk, Y. Hou, P. Hristov, P. Huhn, L. M. Huhta, T. J. Humanic, A. Hutson, D. Hutter, M. C. Hwang, R. Ilkaev, H. Ilyas, M. Inaba, G. M. Innocenti, M. Ippolitov, A. Isakov, T. Isidori, M. S. Islam, M. Ivanov, V. Ivanov, K. E. Iversen, M. Jablonski, B. Jacak, N. Jacazio, P. M. Jacobs, S. Jadlovska, J. Jadlovsky, S. Jaelani, C. Jahnke, M. J. Jakubowska, M. A. Janik, T. Janson, S. Ji, S. Jia, A. A. P. Jimenez, F. Jonas, D. M. Jones, J. M. Jowett, J. Jung, M. Jung, A. Junique, A. Jusko, J. Kaewjai, P. Kalinak, A. S. Kalteyer, A. Kalweit, A. Karasu Uysal, D. Karatovic, O. Karavichev, T. Karavicheva, P. Karczmarczyk, E. Karpechev, M. J. Karwowska, U. Kebschull, R. Keidel, D. L. D. Keijdener, M. Keil, B. Ketzer, S. S. Khade, A. M. Khan, S. Khan, A. Khanzadeev, Y. Kharlov, A. Khatun, A. Khuntia, Z. Khuranova, B. Kileng, B. Kim, C. Kim, D. J. Kim, E. J. Kim, J. Kim, M. Kim, S. Kim, T. Kim, K. Kimura, S. Kirsch, I. Kisel, S. Kiselev, A. Kisiel, J. P. Kitowski, J. L. Klay, J. Klein, S. Klein, C. Klein-Bösing, M. Kleiner, T. Klemenz, A. Kluge, C. Kobdaj, T. Kollegger, A. Kondratyev, N. Kondratyeva, J. Konig, S. A. Konigstorfer, P. J. Konopka, G. Kornakov, M. Korwieser, S. D. Koryciak, A. Kotliarov, N. Kovacic, V. Kovalenko, M. Kowalski, V. Kozhuharov, I. Králik, A. Kravčáková, L. Krcal, M. Krivda, F. Krizek, K. Krizkova Gajdosova, M. Kroesen, M. Krüger, D. M. Krupova, E. Kryshen, V. Kučera, C. Kuhn, P. G. Kuijer, T. Kumaoka, D. Kumar, L. Kumar, N. Kumar, S. Kumar, S. Kundu, P. Kurashvili, A. Kurepin, A. B. Kurepin, A. Kuryakin, S. Kushpil, V. Kuskov, M. Kutyla, M. J. Kweon, Y. Kwon, S. L. La Pointe, P. La Rocca, A. Lakrathok, M. Lamanna, A. R. Landou, R. Langoy, P. Larionov, E. Laudi, L. Lautner, R. Lavicka, R. Lea, H. Lee, I. Legrand, G. Legras, J. Lehrbach, T. M. Lelek, R. C. Lemmon, I. León Monzón, M. M. Lesch, E. D. Lesser, P. Lévai, X. Li, B. E. Liang-gilman, J. Lien, R. Lietava, I. Likmeta, B. Lim, S. H. Lim, V. Lindenstruth, A. Lindner, C. Lippmann, D. H. Liu, J. Liu, G. S. S. Liveraro, I. M. Lofnes, C. Loizides, S. Lokos, J. Lömker, P. Loncar, X. Lopez, E. López Torres, P. Lu, F. V. Lugo, J. R. Luhder, M. Lunardon, G. Luparello, Y. G. Ma, M. Mager, A. Maire, E. M. Majerz, M. V. Makariev, M. Malaev, G. Malfattore, N. M. Malik, Q. W. Malik, S. K. Malik, L. Malinina, D. Mallick, N. Mallick, G. Mandaglio, S. K. Mandal, V. Manko, F. Manso, V. Manzari, Y. Mao, R. W. Marcjan, G. V. Margagliotti, A. Margotti, A. Marín, C. Markert, P. Martinengo, M. I. Martínez, G. Martínez García, M. P. P. Martins, S. Masciocchi, M. Masera, A. Masoni, L. Massacrier, O. Massen, A. Mastroserio, O. Matonoha, S. Mattiazzo, A. Matyja, C. Mayer, A. L. Mazuecos, F. Mazzaschi, M. Mazzilli, J. E. Mdhluli, Y. Melikyan, A. Menchaca-Rocha, J. E. M. Mendez, E. Meninno, A. S. Menon, M. Meres, Y. Miake, L. Micheletti, D. L. Mihaylov, K. Mikhaylov, D. Miśkowiec, A. Modak, B. Mohanty, M. Mohisin Khan, M. A. Molander, S. Monira, C. Mordasini, D. A. Moreira De Godoy, I. Morozov, A. Morsch, T. Mrnjavac, V. Muccifora, S. Muhuri, J. D. Mulligan, A. Mulliri, M. G. Munhoz, R. H. Munzer, H. Murakami, S. Murray, L. Musa, J. Musinsky, J. W. Myrcha, B. Naik, A. I. Nambrath, B. K. Nandi, R. Nania, E. Nappi, A. F. Nassirpour, A. Nath, C. Nattrass, M. N. Naydenov, A. Neagu, A. Negru, E. Nekrasova, L. Nellen, R. Nepeivoda, S. Nese, G. Neskovic, N. Nicassio, B. S. Nielsen, E. G. Nielsen, S. Nikolaev, S. Nikulin, V. Nikulin, F. Noferini, S. Noh, P. Nomokonov, J. Norman, N. Novitzky, P. Nowakowski, A. Nyanin, J. Nystrand, S. Oh, A. Ohlson, V. A. Okorokov, J. Oleniacz, A. Onnerstad, C. Oppedisano, A. Ortiz Velasquez, J. Otwinowski, M. Oya, K. Oyama, Y. Pachmayer, S. Padhan, D. Pagano, G. Paić, S. Paisano-Guzmán, A. Palasciano, S. Panebianco, H. Park, J. Park, J. E. Parkkila, Y. Patley, B. Paul, M. M. D. M. Paulino, H. Pei, T. Peitzmann, X. Peng, M. Pennisi, S. Perciballi, D. Peresunko, G. M. Perez, Y. Pestov, V. Petrov, M. Petrovici, R. P. Pezzi, S. Piano, M. Pikna, P. Pillot, O. Pinazza, L. Pinsky, C. Pinto, S. Pisano, M. Płoskoń, M. Planinic, F. Pliquett, M. G. Poghosyan, B. Polichtchouk, S. Politano, N. Poljak, A. Pop, S. Porteboeuf-Houssais, V. Pozdniakov, I. Y. Pozos, K. K. Pradhan, S. K. Prasad, S. Prasad, R. Preghenella, F. Prino, C. A. Pruneau, I. Pshenichnov, M. Puccio, S. Pucillo, Z. Pugelova, S. Qiu, L. Quaglia, S. Ragoni, A. Rai, A. Rakotozafindrabe, L. Ramello, F. Rami, T. A. Rancien, M. Rasa, S. S. Räsänen, R. Rath, M. P. Rauch, I. Ravasenga, K. F. Read, C. Reckziegel, A. R. Redelbach, K. Redlich, C. A. Reetz, H. D. Regules-Medel, A. Rehman, F. Reidt, H. A. Reme-Ness, Z. Rescakova, K. Reygers, A. Riabov, V. Riabov, R. Ricci, M. Richter, A. A. Riedel, W. Riegler, A. G. Riffero, C. Ristea, M. V. Rodriguez, M. Rodríguez Cahuantzi, S. A. Rodríguez Ramírez, K. Røed, R. Rogalev, E. Rogochaya, T. S. Rogoschinski, D. Rohr, D. Röhrich, P. F. Rojas, S. Rojas Torres, P. S. Rokita, G. Romanenko, F. Ronchetti, A. Rosano, E. D. Rosas, K. Roslon, A. Rossi, A. Roy, S. Roy, N. Rubini, D. Ruggiano, R. Rui, P. G. Russek, R. Russo, A. Rustamov, E. Ryabinkin, Y. Ryabov, A. Rybicki, H. Rytkonen, J. Ryu, W. Rzesa, O. A. M. Saarimaki, S. Sadhu, S. Sadovsky, J. Saetre, K. Šafařík, P. Saha, S. K. Saha, S. Saha, B. Sahoo, R. Sahoo, S. Sahoo, D. Sahu, P. K. Sahu, J. Saini, K. Sajdakova, S. Sakai, M. P. Salvan, S. Sambyal, D. Samitz, I. Sanna, T. B. Saramela, D. Sarkar, P. Sarma, V. Sarritzu, V. M. Sarti, M. H. P. Sas, S. Sawan, E. Scapparone, J. Schambach, H. S. Scheid, C. Schiaua, R. Schicker, F. Schlepper, A. Schmah, C. Schmidt, H. R. Schmidt, M. O. Schmidt, M. Schmidt, N. V. Schmidt, A. R. Schmier, R. Schotter, A. Schröter, J. Schukraft, K. Schweda, G. Scioli, E. Scomparin, J. E. Seger, Y. Sekiguchi, D. Sekihata, M. Selina, I. Selyuzhenkov, S. Senyukov, J. J. Seo, D. Serebryakov, L. Serkin, L. Šerkšnytė, A. Sevcenco, T. J. Shaba, A. Shabetai, R. Shahoyan, A. Shangaraev, B. Sharma, D. Sharma, H. Sharma, M. Sharma, S. Sharma, U. Sharma, A. Shatat, O. Sheibani, K. Shigaki, M. Shimomura, J. Shin, S. Shirinkin, Q. Shou, Y. Sibiriak, S. Siddhanta, T. Siemiarczuk, T. F. Silva, D. Silvermyr, T. Simantathammakul, R. Simeonov, B. Singh, K. Singh, R. Singh, S. Singh, V. K. Singh, V. Singhal, T. Sinha, B. Sitar, M. Sitta, T. B. Skaali, G. Skorodumovs, M. Slupecki, N. Smirnov, R. J. M. Snellings, E. H. Solheim, J. Song, C. Sonnabend, J. M. Sonneveld, F. Soramel, A. B. Soto-hernandez, R. Spijkers, I. Sputowska, J. Staa, J. Stachel, I. Stan, P. J. Steffanic, S. F. Stiefelmaier, D. Stocco, I. Storehaug, P. Stratmann, S. Strazzi, A. Sturniolo, C. P. Stylianidis, A. A. P. Suaide, C. Suire, M. Sukhanov, M. Suljic, R. Sultanov, V. Sumberia, S. Sumowidagdo, I. Szarka, M. Szymkowski, S. F. Taghavi, G. Taillepied, J. Takahashi, G. J. Tambave, S. Tang, Z. Tang, J. D. Tapia Takaki, N. Tapus, L. A. Tarasovicova, M. G. Tarzila, G. F. Tassielli, A. Tauro, A. Tavira García, G. Tejeda Muñoz, A. Telesca, L. Terlizzi, C. Terrevoli, S. Thakur, D. Thomas, A. Tikhonov, N. Tiltmann, A. R. Timmins, M. Tkacik, T. Tkacik, A. Toia, R. Tokumoto, K. Tomohiro, N. Topilskaya, M. Toppi, T. Tork, V. V. Torres, A. G. Torres Ramos, A. Trifiró, A. S. Triolo, S. Tripathy, T. Tripathy, S. Trogolo, V. Trubnikov, W. H. Trzaska, T. P. Trzcinski, A. Tumkin, R. Turrisi, T. S. Tveter, K. Ullaland, B. Ulukutlu, A. Uras, M. Urioni, G. L. Usai, M. Vala, N. Valle, L. V. R. van Doremalen, M. van Leeuwen, C. A. van Veen, R. J. G. van Weelden, P. Vande Vyvre, D. Varga, Z. Varga, P. Vargas Torres, M. Vasileiou, A. Vasiliev, O. Vázquez Doce, O. Vazquez Rueda, V. Vechernin, E. Vercellin, S. Vergara Limón, R. Verma, L. Vermunt, R. Vértesi, M. Verweij, L. Vickovic, Z. Vilakazi, O. Villalobos Baillie, A. Villani, A. Vinogradov, T. Virgili, M. M. O. Virta, V. Vislavicius, A. Vodopyanov, B. Volkel, M. A. Völkl, S. A. Voloshin, G. Volpe, B. von Haller, I. Vorobyev, N. Vozniuk, J. Vrláková, J. Wan, C. Wang, D. Wang, Y. Wang, A. Wegrzynek, F. T. Weiglhofer, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, B. Windelband, M. Winn, J. R. Wright, W. Wu, Y. Wu, Z. Xiong, R. Xu, A. Yadav, A. K. Yadav, S. Yalcin, Y. Yamaguchi, S. Yang, S. Yano, E. R. Yeats, Z. Yin, I.-K. Yoo, J. H. Yoon, H. Yu, S. Yuan, A. Yuncu, V. Zaccolo, C. Zampolli, F. Zanone, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, M. Zhalov, B. Zhang, C. Zhang, L. Zhang, M. Zhang, S. Zhang, X. Zhang, Y. Zhang, Z. Zhang, M. Zhao, V. Zherebchevskii, Y. Zhi, C. Zhong, D. Zhou, Y. Zhou, J. Zhu, Y. Zhu, S. C. Zugravel, and N. Zurlo
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Astrophysics ,QB460-466 ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract The first measurement of the multiplicity dependence of intra-jet properties of leading charged-particle jets in proton–proton (pp) collisions is reported. The mean charged-particle multiplicity and jet fragmentation distributions are measured in minimum-bias and high-multiplicity pp collisions at center-of-mass energy $$\sqrt{s}$$ s = 13 TeV using the ALICE detector. Jets are reconstructed from charged particles produced in the midrapidity region ( $$|\eta | < 0.9$$ | η | < 0.9 ) using the sequential recombination anti- $$k_{\textrm{T}}$$ k T algorithm with jet resolution parameters R = 0.2, 0.3, and 0.4 for the transverse momentum ( $$p_\textrm{T}$$ p T ) interval 5–110 GeV/c. The high-multiplicity events are selected by the forward V0 scintillator detectors. The mean charged-particle multiplicity inside the leading jet cone rises monotonically with increasing jet $$p_\textrm{T}$$ p T in qualitative agreement with previous measurements at lower energies. The distributions of jet fragmentation function variables $$z^{\textrm{ch}}$$ z ch and $$\xi ^{\textrm{ch}}$$ ξ ch are measured for different jet- $$p_\textrm{T}$$ p T intervals. Jet- $$p_\textrm{T}$$ p T independent fragmentation of leading jets is observed for wider jets except at high- and low- $$z^{\textrm{ch}}$$ z ch values. The observed “hump-backed plateau” structure in the $$\xi ^{\textrm{ch}}$$ ξ ch distribution indicates suppression of low- $$p_\textrm{T}$$ p T particles. In high-multiplicity events, an enhancement of the fragmentation probability of low- $$z^{\textrm{ch}}$$ z ch particles accompanied by a suppression of high- $$z^{\textrm{ch}}$$ z ch particles is observed compared to minimum-bias events. This behavior becomes more prominent for low- $$p_\textrm{T}$$ p T jets with larger jet radius. The results are compared with predictions of QCD-inspired event generators, PYTHIA 8 with Monash 2013 tune and EPOS LHC. It is found that PYTHIA 8 qualitatively reproduces the jet modification in high-multiplicity events except at high jet $$p_\textrm{T}$$ p T . These measurements provide important constraints to models of jet fragmentation.
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- 2024
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6. Comparative evaluation of commercially available AI-based cephalometric tracing programs
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Nida Baig, Kabir Syed Gyasudeen, Tanmoy Bhattacharjee, Jahanzeb Chaudhry, and Sabarinath Prasad
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Orthodontics ,Artificial intelligence ,Lateral cephalometric ,Diagnosis ,Accuracy ,Dentistry ,RK1-715 - Abstract
Abstract Objectives Compare the accuracy and diagnostic concordance of three commercially available AI-based lateral cephalometric tracing software. Materials and methods Sixty-three lateral cephalometric radiographs were analyzed using semi-automatic (Dolphin Imaging Systems LLC) and AI-based software programs (WebCeph™, Cephio, and Ceppro DDH Inc.). Intra- and inter-observer reliability were assessed for human expert measurements, and repeated-measures one-way ANOVA was used to compare the AI and human expert measurements. The diagnostic performance was evaluated using sensitivity and specificity tests. Results Human expert reliability was excellent (ICC > 0.9) for most cephalometric parameters. Compared to human experts, significant differences were observed for all three AI-based cephalometric programs (WebCeph™ – 10 of 11, Cephio – 7 of 11, and Ceppro DDH Inc. – 7 of 11 cephalometric measurements). Variations exceeding two units were noted for most parameters, and differences in defining the sagittal and vertical skeletal patterns, dental, and soft tissue characteristics were observed. Conclusion All three AI-based tracing programs showed inaccuracies compared to human expert measurements and lacked reliability in measuring key cephalometric parameters. Clinicians should exercise caution when relying solely on AI-based analyses for orthodontic treatment planning and assessment.
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- 2024
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7. Pharmacogenomics-assisted treatment versus standard of care in schizophrenia: a systematic review and meta-analysis
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Saibal Das, Manoj Kalita, Manabendra Makhal, M Devaraja, Bhavani Shankara Bagepally, Jerin Jose Cherian, Rajesh Aadityan, Mounamukhar Bhattacharjee, Sarnendu Mondal, Sreyashi Sen, Manaswini Mondal, Aniruddha Basu, Atanu Kumar Dutta, Indranil Saha, Asim Saha, and Amit Chakrabarti
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Antipsychotic ,Pharmacogenomics (PGx) ,Precision medicine ,Schizophrenia ,Therapeutic drug monitoring ,Psychiatry ,RC435-571 - Abstract
Abstract Background Pharmacogenomic (PGx) factors significantly influence how patients respond to antipsychotic medications This systematic review was performed to synthesize the clinical utility of PGx-assisted treatment versus standard of care in schizophrenia. Methods PubMed, Embase, and Cochrane CENTRAL databases were searched for randomized controlled trials (RCTs) from inception till June 2024 that had compared the clinical utility of PGx-assisted intervention as compared to the standard of care in schizophrenia. The primary outcome was safety, and the secondary outcomes were efficacy and medication adherence. Pooled standardized mean differences (SMD) along with a 95% confidence interval (CI) were calculated (random-effects model) wherever feasible. Results A total of 18,821 studies were screened, and five were included for review. All the RCTs had a high risk of bias. Four studies included the commonly used antipsychotics. Three studies reported negative outcomes (safety, efficacy, and medication adherence) and two reported positive outcomes (safety) using different scales. In the meta-analysis, there were significant differences in the total Udvalg for Kliniske Undersogelser Side-Effect Rating scale score [SMD 0.95 (95% CI: 0.76–1.13), p
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- 2024
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8. Central and peripheral contrast sensitivity in thyroid eye disease
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Kasturi Bhattacharjee, Obaidur Rehman, Parul Ichhpujani, and Vatsalya Venkatraman
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central contrast sensitivity ,dysthyroid optic neuropathy ,peripheral contrast sensitivity ,sparcs ,thyroid eye disease ,Ophthalmology ,RE1-994 - Abstract
Purpose: Assessment of central and peripheral contrast sensitivity (CS) in thyroid eye disease (TED) with and without dysthyroid optic neuropathy (DON). Methods: This cross-sectional study enrolled 33 eyes of 18 treatment-naïve TED patients and 18 age- and sex-matched healthy controls for comparative analysis. A detailed ophthalmic examination included visual acuity (VA), intraocular pressure measurement, slit-lamp biomicroscopy, and CS testing (central and four peripheral regions) using Spaeth–Richman Contrast Sensitivity test was done. Results: The average age of TED patients was 47.17 ± 13.99 years and a female preponderance was noted (66.66%, n = 12). Twenty-five eyes (75.8%) were diagnosed as TED without DON, while eight eyes (24.2%) had DON. Nine eyes (27.2%) were in the active stage of disease and 29 eyes (87.8%) had proptosis. The difference in mean logMAR visual acuities between TED patients and controls was statistically insignificant (P = 0.189), but a significant difference was noted in central and total CS score (P < 0.001, Wilcoxon–Mann–Whitney test). On CS comparison between DON and non-DON eyes, a significant difference in average scores was noted in central and all peripheral areas (P < 0.05, Wilcoxon–Mann–Whitney test). With increasing clinical activity score, a statistically significant reduction was noted in CS in three out of four peripheral regions (Spearman correlation, P < 0.05). Conclusion: Visual function compromise can be detected in TED in the presence of intact VA, by testing CS. Peripheral CS deteriorates with increasing inflammation and in DON. Serial monitoring of both central and peripheral CS may help in diagnosing DON early.
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- 2024
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9. Dear Laparoscopic Surgeons: Caution with the Use of Glutaraldehyde!!!
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Shivani Phugat, Prativa Choudhury, Vishesh Jain, Anjan Kumar Dhua, Devendra Kumar Yadav, Hemanga Kumar Bhattacharjee, Sachit Anand, Harpreet Singh, Sandeep Agarwala, and Prabudh Goel
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chemical colitis ,colonoscopy ,contact mucosal injury ,glutaraldehyde ,laparoscopy ,target sign ,Pediatrics ,RJ1-570 ,Surgery ,RD1-811 - Abstract
Background: The occupational hazards of glutaraldehyde are well known; the possibility of harm to the patients has been highlighted in the form of isolated reports only. OBJECTIVE: To synthesize evidence for contact mucosal injury or injury due to intraperitoneal instillation of glutaraldehyde following its use during laparoendoscopy. MATERIALS AND METHODS: The current review is Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) compliant. PubMed, PubMed Central, and Google Scholar were interrogated for animal and human studies upon the harmful effects of glutaraldehyde during laparoscopy and proctosigmoido-colonoscopy. Results: Thirty-five studies substratified into animal experiments (n = 2), glutaraldehyde-induced colitis (G-iC) postendoscopy (n = 30), and laparoscopy (n = 3) were included. Rats suffered mucosal injury following colonic injection of glutaraldehyde which was time- and concentration-dependent quantum and developed bloody diarrhoea. Omental and renal injury was observed due to glutaraldehyde instillation during simulation of intra-peritoneal insufflation in rats; the serum leucocytes, CRP and creatinine were also elevated. G-iC following colonoscopy was related to contact mucosal injury due to failure (human or machinery) to rinse the chemical off the instrument surface or as a case of mistaken identity (glutaraldehyde was mistaken for saline or another reagent). The incubation period was
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- 2024
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10. Structural basis of CDNF interaction with the UPR regulator GRP78
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Melissa A. Graewert, Maria Volkova, Klara Jonasson, Juha A. E. Määttä, Tobias Gräwert, Samara Mamidi, Natalia Kulesskaya, Johan Evenäs, Richard E. Johnsson, Dmitri Svergun, Arnab Bhattacharjee, and Henri J. Huttunen
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Science - Abstract
Abstract Cerebral dopamine neurotrophic factor (CDNF) is an unconventional neurotrophic factor that is a disease-modifying drug candidate for Parkinson’s disease. CDNF has pleiotropic protective effects on stressed cells, but its mechanism of action remains incompletely understood. Here, we use state-of-the-art advanced structural techniques to resolve the structural basis of CDNF interaction with GRP78, the master regulator of the unfolded protein response (UPR) pathway. Subsequent binding studies confirm the obtained structural model of the complex, eventually revealing the interaction site of CDNF and GRP78. Finally, mutating the key residues of CDNF mediating its interaction with GRP78 not only results in impaired binding of CDNF but also abolishes the neuroprotective activity of CDNF-derived peptides in mesencephalic neuron cultures. These results suggest that the molecular interaction with GRP78 mediates the neuroprotective actions of CDNF and provide a structural basis for development of next generation CDNF-based therapeutic compounds against neurodegenerative diseases.
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- 2024
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11. Real world analysis of treatment change and response in adults with attention-deficit/hyperactivity disorder (ADHD) alone and with concomitant psychiatric comorbidities: results from an electronic health record database study is the United States
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Christian Liman, Jeffrey Schein, Ashley Wu, Xueyan Huang, Simran Thadani, Ann Childress, Scott H. Kollins, and Sandipan Bhattacharjee
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Attention-deficit/hyperactivity disorder ,Treatment change ,Treatment response ,Healthcare resource utilization ,Electronic health records ,Real-world data ,Psychiatry ,RC435-571 - Abstract
Abstract Background The objectives of this study were to examine the association of psychiatric comorbidities and patient characteristics with treatment change and response as well as to assess the association between treatment change and healthcare resource utilization (HCRU) among adult patients with attention-deficit/hyperactivity disorder (ADHD) and psychiatric comorbidities. Methods De-identified electronic health records from the NeuroBlu Database (2002–2021) were used to select patients ≥ 18 years with ADHD who were prescribed ADHD-specific medication. The index date was set as the first prescription of ADHD medication. The outcomes were treatment change (discontinuation, switch, add-on, or drop) and HCRU (inpatient, outpatient, composite) within 12 months of follow-up. Cox proportional-hazard model was used to assess the association between clinical and demographic patient characteristics and treatment change, while generalized linear model with negative binomial distribution and log link function was used to assess the association between key risk factors linked to treatment change and HCRU rates. Results A total of 3,387 patients with ADHD were included (ADHD only: 1,261; ADHD + major depressive disorder (MDD): 755; ADHD + anxiety disorder: 467; ADHD + mood disorder: 164). Nearly half (44.8%) of the study cohort experienced a treatment change within the 12-month follow-up period. Treatment switch and add-on were more common in patients with ADHD and comorbid MDD and anxiety disorder (switch: 18.9%; add-on: 20.5%) compared to other cohorts (range for switch: 8.5–13.6%; range for add-on: 8.9–12.1%) Survival analysis demonstrated that the probability of treatment change within 12 months from treatment initiation in the study cohort was estimated to be 42.4%. Outpatient visit rates statistically significantly increased from baseline (mean [SD] 1.03 [1.84] visits/month) to 3 months post-index (mean [SD] 1.62 [1.91] visits/month; p
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- 2024
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12. Effectiveness of adjunctive task-centered case work to pharmacotherapy and motivational enhancement therapy among frequently relapsing patients with alcohol dependence syndrome
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Sidhant Kumar Sahoo, Dipanjan Bhattacharjee, Roshan V Khanande, Hariom Pachori, Sourav Khanra, and Basudeb Das
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alcohol dependence syndrome ,craving and quality of life ,motivation enhancement therapy ,relapse ,task-centered casework ,Psychiatry ,RC435-571 - Abstract
Background: Individuals experiencing alcohol dependence syndrome (ADS) may struggle with relapse due to various factors, even after receiving successful inpatient treatment. While motivation enhancement therapy (MET) and pharmacotherapy are commonly used interventions for ADS, incorporating task-centered casework (TCP) – a nondirective, goal-oriented, and time-limited approach – may yield promising outcomes. Aim: This study examined the effects of adjunctive TCP in conjunction with pharmacotherapy and MET on frequently relapsing patients with ADS. Materials and Methods: This study utilized a case-control design to evaluate the efficacy of combined therapies (pharmacotherapy, MET, and TCP) on 60 male subjects with a diagnosis of ADS and multiple admissions in a tertiary deaddiction center. The participants were divided equally into experimental and control groups, with the experimental group receiving all three therapies and the control group only receiving pharmacotherapy and MET. Both groups maintained their pharmacotherapy regimens throughout the 2-month study period. Assessments were conducted at baseline and the end of the study using various measures, including social–demographic and clinical data, the SAD-Q, ACQ SF-R, SOCRATES-8A, CIWA-Ar, and WHOQOL-BREF Hindi version. Results: The results of the study indicate that the experimental group exhibited a marked decrease in alcohol cravings, an increased willingness to make positive changes, and overall better treatment outcomes and quality of life compared to the control group. In patients with ADS who underwent treatment with MET, TCP, and pharmacotherapy, it was observed that cravings were a significant predictor of their quality of life and readiness to make changes. Conclusions: TCP can be complemented with existing addiction therapies in the treatment of addiction because it has additional advantages in the form of nondirectiveness, goal orientation, time-limitedness, and collaboration between the therapist and the patient. ADS patients can benefit from this therapy by discovering their inert potential and identifying their shortcomings.
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- 2024
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13. Mesomorphic thermal stabilities and nonlinear optical properties of fluorine containing liquid crystals
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P. Preethi Kumari, Debanjan Bhattacharjee, M. K. Sonali, Sandesha Nayak, Sudheer Moorkoth, Ashutosh Gupta, Priya Angadiyavar, and Poornima Bhagavath
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H-bonded liquid crystals ,Supramolecues ,Nematic ,Smectic-A ,Pyridine moiety ,Fluoroaniline ,Science (General) ,Q1-390 - Abstract
Abstract H-bonded liquid crystals (HBLCs) are newly synthesized with PyBF viz., (4-pyridyl)-benzylidene-4′-fluoro aniline as the proton acceptor which is non-mesogenic and alkyloxy benzoic acids viz., nOBAs (n = 3, 12) as the mesogenic proton donors. The H-bond formed is confirmed by FTIR spectroscopy. Polarizing Optical Microscopy confirmed the H-bonded compound’s mesomorphic textures, and the thermal analysis is carried out using a Differential Scanning Calorimeter. The influence of fluorine atom on mesomorphic stability is studied. The nonlinear optical properties of the H-bonded compound is studied using DFT theoretical approach. This work supports the SDG-9 of the United Nations. Graphical abstract
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- 2024
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14. Investigating strangeness enhancement with multiplicity in pp collisions using angular correlations
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The ALICE collaboration, S. Acharya, D. Adamová, A. Agarwal, G. Aglieri Rinella, L. Aglietta, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, A. Akindinov, V. Akishina, M. Al-Turany, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, B. Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, G. Alocco, T. Alt, A. R. Altamura, I. Altsybeev, J. R. Alvarado, C. O. R. Alvarez, M. N. Anaam, C. Andrei, N. Andreou, A. Andronic, E. Andronov, V. Anguelov, F. Antinori, P. Antonioli, N. Apadula, L. Aphecetche, H. Appelshäuser, C. Arata, S. Arcelli, M. Aresti, R. Arnaldi, J. G. M. C. A. Arneiro, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, M. D. Azmi, H. Baba, A. Badalà, J. Bae, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, R. Bala, A. Balbino, A. Baldisseri, B. Balis, D. Banerjee, Z. Banoo, V. Barbasova, F. Barile, L. Barioglio, M. Barlou, B. Barman, G. G. Barnaföldi, L. S. Barnby, E. Barreau, V. Barret, L. Barreto, C. Bartels, K. Barth, E. Bartsch, N. Bastid, S. Basu, G. Batigne, D. Battistini, B. Batyunya, D. Bauri, J. L. Bazo Alba, I. G. Bearden, C. Beattie, P. Becht, D. Behera, I. Belikov, A. D. C. Bell Hechavarria, F. Bellini, R. Bellwied, S. Belokurova, L. G. E. Beltran, Y. A. V. Beltran, G. Bencedi, A. Bensaoula, S. Beole, Y. Berdnikov, A. Berdnikova, L. Bergmann, M. G. Besoiu, L. Betev, P. P. Bhaduri, A. Bhasin, B. Bhattacharjee, L. Bianchi, N. Bianchi, J. Bielčík, J. Bielčíková, A. P. Bigot, A. Bilandzic, G. Biro, S. Biswas, N. Bize, J. T. Blair, D. Blau, M. B. Blidaru, N. Bluhme, C. Blume, G. Boca, F. Bock, T. Bodova, J. Bok, L. Boldizsár, M. Bombara, P. M. Bond, G. Bonomi, H. Borel, A. Borissov, A. G. Borquez Carcamo, H. Bossi, E. Botta, Y. E. M. Bouziani, L. Bratrud, P. Braun-Munzinger, M. Bregant, M. Broz, G. E. Bruno, V. D. Buchakchiev, M. D. Buckland, D. Budnikov, H. Buesching, S. Bufalino, P. Buhler, N. Burmasov, Z. Buthelezi, A. Bylinkin, S. A. Bysiak, J. C. Cabanillas Noris, M. F. T. Cabrera, M. Cai, H. Caines, A. Caliva, E. Calvo Villar, J. M. M. Camacho, P. Camerini, F. D. M. Canedo, S. L. Cantway, M. Carabas, A. A. Carballo, F. Carnesecchi, R. Caron, L. A. D. Carvalho, J. Castillo Castellanos, M. Castoldi, F. Catalano, S. Cattaruzzi, C. Ceballos Sanchez, R. Cerri, I. Chakaberia, P. Chakraborty, S. Chandra, S. Chapeland, M. Chartier, S. Chattopadhay, S. Chattopadhyay, M. Chen, T. Cheng, C. Cheshkov, V. Chibante Barroso, D. D. Chinellato, E. S. Chizzali, J. Cho, S. Cho, P. Chochula, Z. A. Chochulska, D. Choudhury, P. Christakoglou, C. H. Christensen, P. Christiansen, T. Chujo, M. Ciacco, C. Cicalo, M. R. Ciupek, G. Clai, F. Colamaria, J. S. Colburn, D. Colella, M. Colocci, M. Concas, G. Conesa Balbastre, Z. Conesa del Valle, G. Contin, J. G. Contreras, M. L. Coquet, P. Cortese, M. R. Cosentino, F. Costa, S. Costanza, C. Cot, J. Crkovská, P. Crochet, R. Cruz-Torres, P. Cui, M. M. Czarnynoga, A. Dainese, G. Dange, M. C. Danisch, A. Danu, P. Das, S. Das, A. R. Dash, S. Dash, A. De Caro, G. de Cataldo, J. de Cuveland, A. De Falco, D. De Gruttola, N. De Marco, C. De Martin, S. De Pasquale, R. Deb, R. Del Grande, L. Dello Stritto, W. Deng, K. C. Devereaux, P. Dhankher, D. Di Bari, A. Di Mauro, B. Diab, R. A. Diaz, T. Dietel, Y. Ding, J. Ditzel, R. Divià, Ø. Djuvsland, U. Dmitrieva, A. Dobrin, B. Dönigus, J. M. Dubinski, A. Dubla, P. Dupieux, N. Dzalaiova, T. M. Eder, R. J. Ehlers, F. Eisenhut, R. Ejima, D. Elia, B. Erazmus, F. Ercolessi, B. Espagnon, G. Eulisse, D. Evans, S. Evdokimov, L. Fabbietti, M. Faggin, J. Faivre, F. Fan, W. Fan, A. Fantoni, M. Fasel, A. Feliciello, G. Feofilov, A. Fernández Téllez, L. Ferrandi, M. B. Ferrer, A. Ferrero, C. Ferrero, A. Ferretti, V. J. G. Feuillard, V. Filova, D. Finogeev, F. M. Fionda, E. Flatland, F. Flor, A. N. Flores, S. Foertsch, I. Fokin, S. Fokin, U. Follo, E. Fragiacomo, E. Frajna, U. Fuchs, N. Funicello, C. Furget, A. Furs, T. Fusayasu, J. J. Gaardhøje, M. Gagliardi, A. M. Gago, T. Gahlaut, C. D. Galvan, D. R. Gangadharan, P. Ganoti, C. Garabatos, J. M. Garcia, T. García Chávez, E. Garcia-Solis, C. Gargiulo, P. Gasik, H. M. Gaur, A. Gautam, M. B. Gay Ducati, M. Germain, C. Ghosh, M. Giacalone, G. Gioachin, P. Giubellino, P. Giubilato, A. M. C. Glaenzer, P. Glässel, E. Glimos, D. J. Q. Goh, V. Gonzalez, P. Gordeev, M. Gorgon, K. Goswami, S. Gotovac, V. Grabski, L. K. Graczykowski, E. Grecka, A. Grelli, C. Grigoras, V. Grigoriev, S. Grigoryan, F. Grosa, J. F. Grosse-Oetringhaus, R. Grosso, D. Grund, N. A. Grunwald, G. G. Guardiano, R. Guernane, M. Guilbaud, K. Gulbrandsen, J. J. W. K. Gumprecht, T. Gündem, T. Gunji, W. Guo, A. Gupta, R. Gupta, K. Gwizdziel, L. Gyulai, C. Hadjidakis, F. U. Haider, S. Haidlova, M. Haldar, H. Hamagaki, A. Hamdi, Y. Han, B. G. Hanley, R. Hannigan, J. Hansen, M. R. Haque, J. W. Harris, A. Harton, M. V. Hartung, H. Hassan, D. Hatzifotiadou, P. Hauer, L. B. Havener, E. Hellbär, H. Helstrup, M. Hemmer, T. Herman, S. G. Hernandez, G. Herrera Corral, S. Herrmann, K. F. Hetland, B. Heybeck, H. Hillemanns, B. Hippolyte, F. W. Hoffmann, B. Hofman, G. H. Hong, M. Horst, A. Horzyk, Y. Hou, P. Hristov, P. Huhn, L. M. Huhta, T. J. Humanic, A. Hutson, D. Hutter, M. C. Hwang, R. Ilkaev, M. Inaba, G. M. Innocenti, M. Ippolitov, A. Isakov, T. Isidori, M. S. Islam, S. Iurchenko, M. Ivanov, V. Ivanov, K. E. Iversen, M. Jablonski, B. Jacak, N. Jacazio, P. M. Jacobs, S. Jadlovska, J. Jadlovsky, S. Jaelani, C. Jahnke, M. J. Jakubowska, M. A. Janik, T. Janson, S. Ji, S. Jia, A. A. P. Jimenez, F. Jonas, D. M. Jones, J. M. Jowett, J. Jung, M. Jung, A. Junique, A. Jusko, J. Kaewjai, P. Kalinak, A. Kalweit, A. Karasu Uysal, D. Karatovic, N. Karatzenis, O. Karavichev, T. Karavicheva, E. Karpechev, M. J. Karwowska, U. Kebschull, R. Keidel, M. Keil, B. Ketzer, S. S. Khade, A. M. Khan, S. Khan, A. Khanzadeev, Y. Kharlov, A. Khatun, A. Khuntia, Z. Khuranova, B. Kileng, B. Kim, C. Kim, D. J. Kim, E. J. Kim, J. Kim, M. Kim, S. Kim, T. Kim, K. Kimura, A. Kirkova, S. Kirsch, I. Kisel, S. Kiselev, A. Kisiel, J. P. Kitowski, J. L. Klay, J. Klein, S. Klein, C. Klein-Bösing, M. Kleiner, T. Klemenz, A. Kluge, C. Kobdaj, R. Kohara, T. Kollegger, A. Kondratyev, N. Kondratyeva, J. Konig, S. A. Konigstorfer, P. J. Konopka, G. Kornakov, M. Korwieser, S. D. Koryciak, C. Koster, A. Kotliarov, N. Kovacic, V. Kovalenko, M. Kowalski, V. Kozhuharov, I. Králik, A. Kravčáková, L. Krcal, M. Krivda, F. Krizek, K. Krizkova Gajdosova, C. Krug, M. Krüger, D. M. Krupova, E. Kryshen, V. Kučera, C. Kuhn, P. G. Kuijer, T. Kumaoka, D. Kumar, L. Kumar, N. Kumar, S. Kumar, S. Kundu, P. Kurashvili, A. Kurepin, A. B. Kurepin, A. Kuryakin, S. Kushpil, V. Kuskov, M. Kutyla, A. Kuznetsov, M. J. Kweon, Y. Kwon, S. L. La Pointe, P. La Rocca, A. Lakrathok, M. Lamanna, A. R. Landou, R. Langoy, P. Larionov, E. Laudi, L. Lautner, R. A. N. Laveaga, R. Lavicka, R. Lea, H. Lee, I. Legrand, G. Legras, J. Lehrbach, A. M. Lejeune, T. M. Lelek, R. C. Lemmon, I. León Monzón, M. M. Lesch, E. D. Lesser, P. Lévai, M. Li, X. Li, B. E. Liang-gilman, J. Lien, R. Lietava, I. Likmeta, B. Lim, S. H. Lim, V. Lindenstruth, A. Lindner, C. Lippmann, D. H. Liu, J. Liu, G. S. S. Liveraro, I. M. Lofnes, C. Loizides, S. Lokos, J. Lömker, X. Lopez, E. López Torres, P. Lu, F. V. Lugo, J. R. Luhder, M. Lunardon, G. Luparello, Y. G. Ma, M. Mager, A. Maire, E. M. Majerz, M. V. Makariev, M. Malaev, G. Malfattore, N. M. Malik, Q. W. Malik, S. K. Malik, L. Malinina, D. Mallick, N. Mallick, G. Mandaglio, S. K. Mandal, A. Manea, V. Manko, F. Manso, V. Manzari, Y. Mao, R. W. Marcjan, G. V. Margagliotti, A. Margotti, A. Marín, C. Markert, P. Martinengo, M. I. Martínez, G. Martínez García, M. P. P. Martins, S. Masciocchi, M. Masera, A. Masoni, L. Massacrier, O. Massen, A. Mastroserio, O. Matonoha, S. Mattiazzo, A. Matyja, A. L. Mazuecos, F. Mazzaschi, M. Mazzilli, J. E. Mdhluli, Y. Melikyan, M. Melo, A. Menchaca-Rocha, J. E. M. Mendez, E. Meninno, A. S. Menon, M. W. Menzel, M. Meres, Y. Miake, L. Micheletti, D. L. Mihaylov, K. Mikhaylov, N. Minafra, D. Miśkowiec, A. Modak, B. Mohanty, M. Mohisin Khan, M. A. Molander, S. Monira, C. Mordasini, D. A. Moreira De Godoy, I. Morozov, A. Morsch, T. Mrnjavac, V. Muccifora, S. Muhuri, J. D. Mulligan, A. Mulliri, M. G. Munhoz, R. H. Munzer, H. Murakami, S. Murray, L. Musa, J. Musinsky, J. W. Myrcha, B. Naik, A. I. Nambrath, B. K. Nandi, R. Nania, E. Nappi, A. F. Nassirpour, A. Nath, C. Nattrass, M. N. Naydenov, A. Neagu, A. Negru, E. Nekrasova, L. Nellen, R. Nepeivoda, S. Nese, G. Neskovic, N. Nicassio, B. S. Nielsen, E. G. Nielsen, S. Nikolaev, S. Nikulin, V. Nikulin, F. Noferini, S. Noh, P. Nomokonov, J. Norman, N. Novitzky, P. Nowakowski, A. Nyanin, J. Nystrand, S. Oh, A. Ohlson, V. A. Okorokov, J. Oleniacz, A. Onnerstad, C. Oppedisano, A. Ortiz Velasquez, J. Otwinowski, M. Oya, K. Oyama, Y. Pachmayer, S. Padhan, D. Pagano, G. Paić, S. Paisano-Guzmán, A. Palasciano, S. Panebianco, C. Pantouvakis, H. Park, J. Park, J. E. Parkkila, Y. Patley, B. Paul, H. Pei, T. Peitzmann, X. Peng, M. Pennisi, S. Perciballi, D. Peresunko, G. M. Perez, Y. Pestov, M. T. Petersen, V. Petrov, M. Petrovici, S. Piano, M. Pikna, P. Pillot, O. Pinazza, L. Pinsky, C. Pinto, S. Pisano, M. Płoskoń, M. Planinic, F. Pliquett, M. G. Poghosyan, B. Polichtchouk, S. Politano, N. Poljak, A. Pop, S. Porteboeuf-Houssais, V. Pozdniakov, I. Y. Pozos, K. K. Pradhan, S. K. Prasad, S. Prasad, R. Preghenella, F. Prino, C. A. Pruneau, I. Pshenichnov, M. Puccio, S. Pucillo, S. Qiu, L. Quaglia, S. Ragoni, A. Rai, A. Rakotozafindrabe, L. Ramello, F. Rami, M. Rasa, S. S. Räsänen, R. Rath, M. P. Rauch, I. Ravasenga, K. F. Read, C. Reckziegel, A. R. Redelbach, K. Redlich, C. A. Reetz, H. D. Regules-Medel, A. Rehman, F. Reidt, H. A. Reme-Ness, Z. Rescakova, K. Reygers, A. Riabov, V. Riabov, R. Ricci, M. Richter, A. A. Riedel, W. Riegler, A. G. Riffero, C. Ripoli, C. Ristea, M. V. Rodriguez, M. Rodríguez Cahuantzi, S. A. Rodríguez Ramírez, K. Røed, R. Rogalev, E. Rogochaya, T. S. 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Volpe, B. von Haller, I. Vorobyev, N. Vozniuk, J. Vrláková, J. Wan, C. Wang, D. Wang, Y. Wang, A. Wegrzynek, F. T. Weiglhofer, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, B. Windelband, M. Winn, J. R. Wright, W. Wu, Y. Wu, Z. Xiong, R. Xu, A. Yadav, A. K. Yadav, Y. Yamaguchi, S. Yang, S. Yano, E. R. Yeats, Z. Yin, I.-K. Yoo, J. H. Yoon, H. Yu, S. Yuan, A. Yuncu, V. Zaccolo, C. Zampolli, F. Zanone, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, M. Zhalov, B. Zhang, C. Zhang, L. Zhang, M. Zhang, S. Zhang, X. Zhang, Y. Zhang, Z. Zhang, M. Zhao, V. Zherebchevskii, Y. Zhi, D. Zhou, Y. Zhou, J. Zhu, S. Zhu, Y. Zhu, S. C. Zugravel, and N. Zurlo
- Subjects
Hadron-Hadron Scattering ,Particle and Resonance Production ,Particle Correlations and Fluctuations ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract A study of strange hadron production associated with hard scattering processes and with the underlying event is conducted to investigate the origin of the enhanced production of strange hadrons in small collision systems characterised by large charged-particle multiplicities. For this purpose, the production of the single-strange meson K S 0 $$ {\textrm{K}}_{\textrm{S}}^0 $$ and the double-strange baryon Ξ ± is measured, in each event, in the azimuthal direction of the highest-p T particle (“trigger” particle), related to hard scattering processes, and in the direction transverse to it in azimuth, associated with the underlying event, in pp collisions at s $$ \sqrt{s} $$ = 5.02 TeV and s $$ \sqrt{s} $$ = 13 TeV using the ALICE detector at the LHC. The per-trigger yields of K S 0 $$ {\textrm{K}}_{\textrm{S}}^0 $$ and Ξ ± are dominated by the transverse-to-leading production (i.e., in the direction transverse to the trigger particle), whose contribution relative to the toward-leading production is observed to increase with the event charged-particle multiplicity. The transverse-to-leading and the toward-leading Ξ ± / K S 0 $$ {\textrm{K}}_{\textrm{S}}^0 $$ yield ratios increase with the multiplicity of charged particles, suggesting that strangeness enhancement with multiplicity is associated with both hard scattering processes and the underlying event. The relative production of Ξ ± with respect to K S 0 $$ {\textrm{K}}_{\textrm{S}}^0 $$ is higher in transverse-to-leading processes over the whole multiplicity interval covered by the measurement. The K S 0 $$ {\textrm{K}}_{\textrm{S}}^0 $$ and Ξ ± per-trigger yields and yield ratios are compared with predictions of three different phenomenological models, namely Pythia8.2 with the Monash tune, Pythia8.2 with ropes and EPOS LHC. The comparison shows that none of them can quantitatively describe either the transverse-to-leading or the toward-leading yields of K S 0 $$ {\textrm{K}}_{\textrm{S}}^0 $$ and Ξ ± .
- Published
- 2024
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15. Studying strangeness and baryon production mechanisms through angular correlations between charged Ξ baryons and identified hadrons in pp collisions at s $$ \sqrt{s} $$ = 13 TeV
- Author
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The ALICE collaboration, S. Acharya, D. Adamová, J. Adolfsson, G. Aglieri Rinella, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, A. Akindinov, M. Al-Turany, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, B. Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, G. Alocco, T. Alt, A. R. Altamura, I. Altsybeev, J. R. Alvarado, M. N. Anaam, C. Andrei, N. Andreou, A. Andronic, V. Anguelov, F. Antinori, P. Antonioli, N. Apadula, L. Aphecetche, H. Appelshäuser, C. Arata, S. Arcelli, M. Aresti, R. Arnaldi, J. G. M. C. A. Arneiro, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, M. D. Azmi, H. Baba, A. Badalà, J. Bae, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, A. Balbino, A. Baldisseri, B. Balis, D. Banerjee, Z. Banoo, R. Barbera, F. Barile, L. Barioglio, M. Barlou, B. Barman, G. G. Barnaföldi, L. S. Barnby, V. Barret, L. Barreto, C. Bartels, K. Barth, E. Bartsch, N. Bastid, S. Basu, G. Batigne, D. Battistini, B. Batyunya, D. Bauri, J. L. 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Luparello, Y. G. Ma, M. Mager, A. Maire, E. M. Majerz, M. V. Makariev, M. Malaev, G. Malfattore, N. M. Malik, Q. W. Malik, S. K. Malik, L. Malinina, D. Mallick, N. Mallick, G. Mandaglio, S. K. Mandal, V. Manko, F. Manso, V. Manzari, Y. Mao, R. W. Marcjan, G. V. Margagliotti, A. Margotti, A. Marín, C. Markert, P. Martinengo, M. I. Martínez, G. Martínez García, M. P. P. Martins, S. Masciocchi, M. Masera, A. Masoni, L. Massacrier, O. Massen, A. Mastroserio, O. Matonoha, S. Mattiazzo, A. Matyja, C. Mayer, A. L. Mazuecos, F. Mazzaschi, M. Mazzilli, J. E. Mdhluli, Y. Melikyan, A. Menchaca-Rocha, J. E. M. Mendez, E. Meninno, A. S. Menon, M. Meres, S. Mhlanga, Y. Miake, L. Micheletti, D. L. Mihaylov, K. Mikhaylov, A. N. Mishra, D. Miśkowiec, A. Modak, B. Mohanty, M. Mohisin Khan, M. A. Molander, S. Monira, C. Mordasini, D. A. Moreira De Godoy, I. Morozov, A. Morsch, T. Mrnjavac, V. Muccifora, S. Muhuri, J. D. Mulligan, A. Mulliri, M. G. Munhoz, R. H. Munzer, H. Murakami, S. Murray, L. Musa, J. Musinsky, J. W. Myrcha, B. Naik, A. I. Nambrath, B. K. Nandi, R. Nania, E. Nappi, A. F. Nassirpour, A. Nath, C. Nattrass, M. N. Naydenov, A. Neagu, A. Negru, E. Nekrasova, L. Nellen, R. Nepeivoda, S. Nese, G. Neskovic, N. Nicassio, B. S. Nielsen, E. G. Nielsen, S. Nikolaev, S. Nikulin, V. Nikulin, F. Noferini, S. Noh, P. Nomokonov, J. Norman, N. Novitzky, P. Nowakowski, A. Nyanin, J. Nystrand, M. Ogino, S. Oh, A. Ohlson, V. A. Okorokov, J. Oleniacz, A. C. Oliveira Da Silva, A. Onnerstad, C. Oppedisano, A. Ortiz Velasquez, J. Otwinowski, M. Oya, K. Oyama, Y. Pachmayer, S. Padhan, D. Pagano, G. Paić, S. Paisano-Guzmán, A. Palasciano, S. Panebianco, H. Park, J. Park, J. E. Parkkila, Y. Patley, R. N. Patra, B. Paul, H. Pei, T. Peitzmann, X. Peng, M. Pennisi, S. Perciballi, D. Peresunko, G. M. Perez, Y. Pestov, V. Petrov, M. Petrovici, R. P. Pezzi, S. Piano, M. Pikna, P. Pillot, O. Pinazza, L. Pinsky, C. Pinto, S. Pisano, M. Płoskoń, M. Planinic, F. Pliquett, M. G. Poghosyan, B. Polichtchouk, S. Politano, N. Poljak, A. Pop, S. Porteboeuf-Houssais, V. Pozdniakov, I. Y. Pozos, K. K. Pradhan, S. K. Prasad, S. Prasad, R. Preghenella, F. Prino, C. A. Pruneau, I. Pshenichnov, M. Puccio, S. Pucillo, Z. Pugelova, S. Qiu, L. Quaglia, S. Ragoni, A. Rai, A. Rakotozafindrabe, L. Ramello, F. Rami, T. A. Rancien, M. Rasa, S. S. Räsänen, R. Rath, M. P. Rauch, I. Ravasenga, K. F. Read, C. Reckziegel, A. R. Redelbach, K. Redlich, C. A. Reetz, H. D. Regules-Medel, A. Rehman, F. Reidt, H. A. Reme-Ness, Z. Rescakova, K. Reygers, A. Riabov, V. Riabov, R. Ricci, M. Richter, A. A. Riedel, W. Riegler, A. G. Riffero, C. Ristea, M. V. Rodriguez, M. Rodríguez Cahuantzi, S. A. Rodríguez Ramírez, K. Røed, R. Rogalev, E. Rogochaya, T. S. Rogoschinski, D. Rohr, D. Röhrich, P. F. Rojas, S. Rojas Torres, P. S. Rokita, G. Romanenko, F. Ronchetti, A. Rosano, E. D. Rosas, K. Roslon, A. Rossi, A. Roy, S. Roy, N. Rubini, D. Ruggiano, R. Rui, P. G. Russek, R. Russo, A. Rustamov, E. Ryabinkin, Y. Ryabov, A. Rybicki, H. Rytkonen, J. Ryu, W. Rzesa, O. A. M. Saarimaki, S. Sadhu, S. Sadovsky, J. Saetre, K. Šafařík, P. Saha, S. K. Saha, S. Saha, B. Sahoo, R. Sahoo, S. Sahoo, D. Sahu, P. K. Sahu, J. Saini, K. Sajdakova, S. Sakai, M. P. Salvan, S. Sambyal, D. Samitz, I. Sanna, T. B. Saramela, P. Sarma, V. Sarritzu, V. M. Sarti, M. H. P. Sas, S. Sawan, J. Schambach, H. S. Scheid, C. Schiaua, R. Schicker, F. Schlepper, A. Schmah, C. Schmidt, H. R. Schmidt, M. O. Schmidt, M. Schmidt, N. V. Schmidt, A. R. Schmier, R. Schotter, A. Schröter, J. Schukraft, K. Schweda, G. Scioli, E. Scomparin, J. E. Seger, Y. Sekiguchi, D. Sekihata, M. Selina, I. Selyuzhenkov, S. Senyukov, J. J. Seo, D. Serebryakov, L. Šerkšnytė, A. Sevcenco, T. J. Shaba, A. Shabetai, R. Shahoyan, A. Shangaraev, A. Sharma, B. Sharma, D. Sharma, H. Sharma, M. Sharma, S. Sharma, U. Sharma, A. Shatat, O. Sheibani, K. Shigaki, M. Shimomura, J. Shin, S. Shirinkin, Q. Shou, Y. Sibiriak, S. Siddhanta, T. Siemiarczuk, T. F. Silva, D. Silvermyr, T. Simantathammakul, R. Simeonov, B. Singh, K. Singh, R. Singh, S. Singh, V. K. Singh, V. Singhal, T. Sinha, B. Sitar, M. Sitta, T. B. Skaali, G. Skorodumovs, M. Slupecki, N. Smirnov, R. J. M. Snellings, E. H. Solheim, J. Song, C. Sonnabend, F. Soramel, A. B. Soto-hernandez, R. Spijkers, I. Sputowska, J. Staa, J. Stachel, I. Stan, P. J. Steffanic, S. F. Stiefelmaier, D. Stocco, I. Storehaug, P. Stratmann, S. Strazzi, A. Sturniolo, C. P. Stylianidis, A. A. P. Suaide, C. Suire, M. Sukhanov, M. Suljic, R. Sultanov, V. Sumberia, S. Sumowidagdo, S. Swain, I. Szarka, M. Szymkowski, S. F. Taghavi, G. Taillepied, J. Takahashi, G. J. Tambave, S. Tang, Z. Tang, J. D. Tapia Takaki, N. Tapus, L. A. Tarasovicova, M. G. Tarzila, G. F. Tassielli, A. Tauro, A. Tavira García, G. Tejeda Muñoz, A. Telesca, L. Terlizzi, C. Terrevoli, S. Thakur, D. Thomas, A. Tikhonov, N. Tiltmann, A. R. Timmins, M. Tkacik, T. Tkacik, A. Toia, R. Tokumoto, K. Tomohiro, N. Topilskaya, M. Toppi, T. Tork, V. V. Torres, A. G. Torres Ramos, A. Trifiró, A. S. Triolo, S. Tripathy, T. Tripathy, S. Trogolo, V. Trubnikov, W. H. Trzaska, T. P. Trzcinski, A. Tumkin, R. Turrisi, T. S. Tveter, K. Ullaland, B. Ulukutlu, A. Uras, G. L. Usai, M. Vala, N. Valle, L. V. R. van Doremalen, M. van Leeuwen, C. A. van Veen, R. J. G. van Weelden, P. Vande Vyvre, D. Varga, Z. Varga, P. Vargas Torres, M. Vasileiou, A. Vasiliev, O. Vázquez Doce, O. Vazquez Rueda, V. Vechernin, E. Vercellin, S. Vergara Limón, R. Verma, L. Vermunt, R. Vértesi, M. Verweij, L. Vickovic, Z. Vilakazi, O. Villalobos Baillie, A. Villani, A. Vinogradov, T. Virgili, M. M. O. Virta, V. Vislavicius, A. Vodopyanov, B. Volkel, M. A. Völkl, K. Voloshin, S. A. Voloshin, G. Volpe, B. von Haller, I. Vorobyev, N. Vozniuk, J. Vrláková, J. Wan, C. Wang, D. Wang, Y. Wang, A. Wegrzynek, F. T. Weiglhofer, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, B. Windelband, M. Winn, J. R. Wright, W. Wu, Y. Wu, R. Xu, A. Yadav, A. K. Yadav, S. Yalcin, Y. Yamaguchi, S. Yang, S. Yano, Z. Yin, I.-K. Yoo, J. H. Yoon, H. Yu, S. Yuan, A. Yuncu, V. Zaccolo, C. Zampolli, F. Zanone, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, M. Zhalov, B. Zhang, C. Zhang, L. Zhang, M. Zhang, S. Zhang, X. Zhang, Y. Zhang, Z. Zhang, M. Zhao, V. Zherebchevskii, Y. Zhi, D. Zhou, Y. Zhou, J. Zhu, Y. Zhu, S. C. Zugravel, and N. Zurlo
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Hadron-Hadron Scattering ,Particle Correlations and Fluctuations ,Relativistic Heavy Ion Physics ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract The angular correlations between charged Ξ baryons and associated identified hadrons (pions, kaons, protons, Λ baryons, and Ξ baryons) are measured in pp collisions at s $$ \sqrt{s} $$ = 13 TeV with the ALICE detector to give insight into the particle production mechanisms and balancing of quantum numbers on the microscopic level. In particular, the distribution of strangeness is investigated in the correlations between the doubly-strange Ξ baryon and mesons and baryons that contain a single strange quark, K and Λ. As a reference, the results are compared to Ξπ and Ξp correlations, where the associated mesons and baryons do not contain a strange valence quark. These measurements are expected to be sensitive to whether strangeness is produced through string breaking or in a thermal production scenario. Furthermore, the multiplicity dependence of the correlation functions is measured to look for the turn-on of additional particle production mechanisms with event activity. The results are compared to predictions from the string-breaking model Pythia 8, including tunes with baryon junctions and rope hadronisation enabled, the cluster hadronisation model Herwig 7, and the core-corona model Epos-lhc. While some aspects of the experimental data are described quantitatively or qualitatively by the Monte Carlo models, no model can match all features of the data. These results provide stringent constraints on the strangeness and baryon number production mechanisms in pp collisions.
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- 2024
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16. Potentilla fulgens Wall. Ex sims. Upregulates insulin receptor substrate 1 and Akt in alloxan-induced diabetic mice
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Shelareen Ediemi Sunn, Careen Liza Pakyntein, Daiahun Thabah, Cynthia Erica Kharshiing, Sagnik Banerjee, Anita Kumari Rai, Atanu Bhattacharjee, and Donkupar Syiem
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Akt ,Catechin ,Diabetes ,IRS-1 ,Potentilla fulgens ,Medicine ,Homeopathy ,RX1-681 - Abstract
Abstract Background Potentilla fulgens Wall. ex Sims. is a medicinal plant used by the locals of Meghalaya. However, its mechanism of action has not been well elucidated. Hence, this study investigated the effect of P. fulgens on IRS1 and Akt. The interaction of the various polyphenols present in P. fulgens with the IR tyrosine kinase and IRS1 PTB domain was studied using auto dock. Changes in expression of antioxidant enzymes, IRS-1, Akt and behavior of normal, diabetic, and diabetic mice treated mice were assessed after 14 days of treatment. Morphological changes in the liver tissue were determined by Transmission Electron Microscopy. Results The effect of P. fulgens on blood glucose was time and dose dependent. Treatment with P. fulgens, Cat, E, CE, CEP and metformin improved the activity of catalase, glutathione peroxidase, glycogen, IRS-1 and Akt. The Forced Swimming test showed an altered behavior in diabetic mice. The altered mobility was reverted back to near normal on treatment with P.fulgens, Cat, E, CE, CEP and metformin. The morphological aberrations seen in diabetic animals considerably improved in the treated diabetic group. Conclusion P. fulgens and its phytochemicals-catechin and epicatechin are potent sources of antidiabetic drugs, possibly mediating their effects through upregulation of insulin IRS-1 and Akt.
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- 2024
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17. Survival strategies for family-run homestays: analyzing user reviews through text mining
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Jay Krishnan, Biplab Bhattacharjee, Maheshwar Pratap, Janardan Krishna Yadav, and Moinak Maiti
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Text mining ,Tourism ,Homestays ,Topic modeling ,Predictive modeling ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Online booking of homestays through e-travel portals is based on the virtual brand and perception, which are largely affected by user-generated electronic word-of-mouth (eWOM). With the objective of mining actionable insights from eWOM, this study conducted opinion mining for homestays located in four thematic areas of Kerala. Accordingly, various techniques have been deployed, such as sentiment and emotional analyses, topic modeling, and clustering methods. Key themes revealed from topic modeling were breakfast, facilities provided, ambience, bathroom, cleanliness, hospitality exhibited, and satisfaction with the host. A lasso logistic regression-based predictive binary text classification model (with 97.6% accuracy) for homestay recommendations was developed. Our findings and predictive model have implications for managers and homestay owners in devising appropriate marketing strategies and improving their overall guest experience.
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- 2024
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18. Unveiling acute myocardial infarction in young adults of rural India: Exploring demographic, clinical, and angiographic profiles
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Manna Bhattacharjee, Amitesh Nagarwal, Sai Durga Prakash, Vishal Gaurab, Bijay Prakash Yadav, Sheshkaran Singh Charan, Vishvajit Magan Wakade, and Sundeep Mishra
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acute coronary syndrome ,coronary artery disease risk factors ,myocardial infraction ,risk of myocardial infarction in lower socioeconomic group ,young myocardial infarction ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Introduction: Cardiovascular disease, particularly myocardial infarction (MI), remains a leading cause of mortality globally and in India. The prevalence of coronary artery disease (CAD) among young adults in India presents unique challenges, marked by earlier onset and distinct risk factor profiles. However, comprehensive data on young MI patients in rural areas are scarce, necessitating an investigation into their demographics, clinical characteristics, and outcomes. Materials and Methods: This institution-based, cross-sectional study was conducted at the Department of Cardiology, NIMS Super Specialty Hospital, Jaipur, focused on individuals under 45 years old admitted with MI. Data encompassing demographic, clinical, echocardiographic, and angiographic profiles were collected and analyzed. The study spanned from December 2022 to December 2023. Results: Among 45 young MI patients studied, males constituted a substantial majority (86.67%). Lower socioeconomic status (SES) was prevalent (71.11%), and risk factors such as smoking (51.11%) and hypertension (35.56%) were notable. Troponin-T/CPK MB levels were significantly elevated in 57.78% of cases, indicating myocardial damage. Angiographic assessments revealed predominance in left anterior descending (LAD) artery abnormalities (55.56%) and a significant proportion underwent primary percutaneous transluminal coronary angioplasty (PTCA) (46.67%). Conclusion: The study highlights the concerning prevalence of MI among young adults in rural areas of India, with a predominance of males and a high prevalence of traditional risk factors such as smoking and hypertension, as well as the notable influence of low SES (P = 0.0046). Contrary to previous studies that linked higher SES and sedentary lifestyles to an increased risk of CAD, this study underscores the significant burden of CAD among young individuals from lower socioeconomic groups. The elevated levels of troponin-T and CPK-MB, along with the predominance of LAD artery abnormalities, emphasize the severity and distinct coronary involvement patterns in this demographic. These findings highlight the urgent need for targeted preventive strategies and improved access to health-care services for young adults in lower socioeconomic groups in rural areas.
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- 2024
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19. Azimuthal anisotropy of jet particles in p-Pb and Pb-Pb collisions at s NN $$ \sqrt{{\textrm{s}}_{\textrm{NN}}} $$ = 5.02 TeV
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The ALICE collaboration, S. Acharya, D. Adamová, A. Adler, G. Aglieri Rinella, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, A. Akindinov, M. Al-Turany, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, B. Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, G. Alocco, T. Alt, I. Altsybeev, J. R. Alvarado, M. N. Anaam, C. Andrei, A. Andronic, V. Anguelov, F. Antinori, P. Antonioli, N. Apadula, L. Aphecetche, H. Appelshäuser, C. Arata, S. Arcelli, M. Aresti, R. Arnaldi, J. G. M. C. A. Arneiro, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, M. D. Azmi, A. Badalà, J. Bae, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, A. Balbino, A. Baldisseri, B. Balis, D. Banerjee, Z. Banoo, R. Barbera, F. Barile, L. Barioglio, M. Barlou, G. G. Barnaföldi, L. S. Barnby, V. Barret, L. Barreto, C. Bartels, K. Barth, E. Bartsch, N. Bastid, S. Basu, G. Batigne, D. Battistini, B. Batyunya, D. Bauri, J. L. Bazo Alba, I. G. Bearden, C. Beattie, P. Becht, D. Behera, I. Belikov, A. D. C. Bell Hechavarria, F. Bellini, R. Bellwied, S. Belokurova, V. Belyaev, G. Bencedi, S. Beole, Y. Berdnikov, A. Berdnikova, L. Bergmann, M. G. Besoiu, L. Betev, P. P. Bhaduri, A. Bhasin, M. A. Bhat, B. Bhattacharjee, L. Bianchi, N. Bianchi, J. Bielčík, J. Bielčíková, J. Biernat, A. P. Bigot, A. Bilandzic, G. Biro, S. Biswas, N. Bize, J. T. Blair, D. Blau, M. B. Blidaru, N. Bluhme, C. Blume, G. Boca, F. Bock, T. Bodova, A. Bogdanov, S. Boi, J. Bok, L. Boldizsár, M. Bombara, P. M. Bond, G. Bonomi, H. Borel, A. Borissov, A. G. Borquez Carcamo, H. Bossi, E. Botta, Y. E. M. Bouziani, L. Bratrud, P. Braun-Munzinger, M. Bregant, M. Broz, G. E. Bruno, M. D. Buckland, D. Budnikov, H. Buesching, S. Bufalino, O. Bugnon, P. Buhler, Z. Buthelezi, S. A. Bysiak, M. Cai, H. Caines, A. Caliva, E. Calvo Villar, J. M. M. Camacho, P. Camerini, F. D. M. Canedo, S. L. Cantway, M. Carabas, A. A. Carballo, F. Carnesecchi, R. Caron, L. A. D. Carvalho, J. Castillo Castellanos, F. Catalano, C. Ceballos Sanchez, I. Chakaberia, P. Chakraborty, S. Chandra, S. Chapeland, M. Chartier, S. Chattopadhyay, T. Cheng, C. Cheshkov, B. Cheynis, V. Chibante Barroso, D. D. Chinellato, E. S. Chizzali, J. Cho, S. Cho, P. Chochula, P. Christakoglou, C. H. Christensen, P. Christiansen, T. Chujo, M. Ciacco, C. Cicalo, F. Cindolo, M. R. Ciupek, G. Clai, F. Colamaria, J. S. Colburn, D. Colella, M. Colocci, M. Concas, G. Conesa Balbastre, Z. Conesa del Valle, G. Contin, J. G. Contreras, M. L. Coquet, T. M. Cormier, P. Cortese, M. R. Cosentino, F. Costa, S. Costanza, C. Cot, J. Crkovská, P. Crochet, R. Cruz-Torres, E. Cuautle, P. Cui, A. Dainese, M. C. Danisch, A. Danu, P. Das, S. Das, A. R. Dash, S. Dash, A. De Caro, G. de Cataldo, J. de Cuveland, A. De Falco, D. De Gruttola, N. De Marco, C. De Martin, S. De Pasquale, R. Deb, S. Deb, R. J. Debski, K. R. Deja, R. Del Grande, L. Dello Stritto, W. Deng, P. Dhankher, D. Di Bari, A. Di Mauro, R. A. Diaz, T. Dietel, Y. Ding, R. Divià, D. U. Dixit, Ø. Djuvsland, U. Dmitrieva, A. Dobrin, B. Dönigus, J. M. Dubinski, A. Dubla, S. Dudi, P. Dupieux, M. Durkac, N. Dzalaiova, T. M. Eder, R. J. Ehlers, V. N. Eikeland, F. Eisenhut, D. Elia, B. Erazmus, F. Ercolessi, F. Erhardt, M. R. Ersdal, B. Espagnon, G. Eulisse, D. Evans, S. Evdokimov, L. Fabbietti, M. Faggin, J. Faivre, F. Fan, W. Fan, A. Fantoni, M. Fasel, P. Fecchio, A. Feliciello, G. Feofilov, A. Fernández Téllez, L. Ferrandi, M. B. Ferrer, A. Ferrero, C. Ferrero, A. Ferretti, V. J. G. Feuillard, V. Filova, D. Finogeev, F. M. Fionda, F. Flor, A. N. Flores, S. Foertsch, I. Fokin, S. Fokin, E. Fragiacomo, E. Frajna, U. Fuchs, N. Funicello, C. Furget, A. Furs, T. Fusayasu, J. J. Gaardhøje, M. Gagliardi, A. M. Gago, C. D. Galvan, D. R. Gangadharan, P. Ganoti, C. Garabatos, T. García Chávez, E. Garcia-Solis, K. Garg, C. Gargiulo, K. Garner, P. Gasik, A. Gautam, M. B. Gay Ducati, M. Germain, A. Ghimouz, C. Ghosh, M. Giacalone, P. Giubellino, P. Giubilato, A. M. C. Glaenzer, P. Glässel, E. Glimos, D. J. Q. Goh, V. Gonzalez, L. H. González-Trueba, M. Gorgon, S. Gotovac, V. Grabski, L. K. Graczykowski, E. Grecka, A. Grelli, C. Grigoras, V. Grigoriev, S. Grigoryan, F. Grosa, J. F. Grosse-Oetringhaus, R. Grosso, D. Grund, G. G. Guardiano, R. Guernane, M. Guilbaud, K. Gulbrandsen, T. Gündem, T. Gunji, W. Guo, A. Gupta, R. Gupta, L. Gyulai, M. K. Habib, C. Hadjidakis, F. U. Haider, H. Hamagaki, A. Hamdi, M. Hamid, Y. Han, R. Hannigan, M. R. Haque, J. W. Harris, A. Harton, H. Hassan, D. Hatzifotiadou, P. Hauer, L. B. Havener, S. T. Heckel, E. Hellbär, H. Helstrup, M. Hemmer, T. Herman, G. Herrera Corral, F. Herrmann, S. Herrmann, K. F. Hetland, B. Heybeck, H. Hillemanns, C. Hills, B. Hippolyte, F. W. Hoffmann, B. Hofman, B. Hohlweger, G. H. Hong, M. Horst, A. Horzyk, Y. Hou, P. Hristov, C. Hughes, P. Huhn, L. M. Huhta, T. J. Humanic, A. Hutson, D. Hutter, J. P. Iddon, R. Ilkaev, H. Ilyas, M. Inaba, G. M. Innocenti, M. Ippolitov, A. Isakov, T. Isidori, M. S. Islam, M. Ivanov, V. Ivanov, M. Jablonski, B. Jacak, N. Jacazio, P. M. Jacobs, S. Jadlovska, J. Jadlovsky, S. Jaelani, L. Jaffe, C. Jahnke, M. J. Jakubowska, M. A. Janik, T. Janson, M. Jercic, S. Jia, A. A. P. Jimenez, F. Jonas, J. M. Jowett, J. Jung, M. Jung, A. Junique, A. Jusko, J. Kaewjai, P. Kalinak, A. S. Kalteyer, A. Kalweit, V. Kaplin, A. Karasu Uysal, D. Karatovic, O. Karavichev, T. Karavicheva, P. Karczmarczyk, E. Karpechev, M. J. Karwowska, U. Kebschull, R. Keidel, D. L. D. Keijdener, M. Keil, B. Ketzer, A. M. Khan, S. Khan, A. Khanzadeev, Y. Kharlov, A. Khatun, A. Khuntia, M. B. Kidson, B. Kileng, B. Kim, C. Kim, D. J. Kim, E. J. Kim, J. Kim, J. S. Kim, M. Kim, S. Kim, T. Kim, K. Kimura, S. Kirsch, I. Kisel, S. Kiselev, A. Kisiel, J. P. Kitowski, J. L. Klay, J. Klein, S. Klein, C. Klein-Bösing, M. Kleiner, T. Klemenz, A. Kluge, A. G. Knospe, C. Kobdaj, T. Kollegger, A. Kondratyev, N. Kondratyeva, E. Kondratyuk, J. Konig, S. A. Konigstorfer, P. J. Konopka, G. Kornakov, M. Korwieser, S. D. Koryciak, A. Kotliarov, V. Kovalenko, M. Kowalski, V. Kozhuharov, I. Králik, A. Kravčáková, L. Krcal, L. Kreis, M. Krivda, F. Krizek, K. Krizkova Gajdosova, M. Kroesen, M. Krüger, D. M. Krupova, E. Kryshen, V. Kučera, C. Kuhn, P. G. Kuijer, T. Kumaoka, D. Kumar, L. Kumar, N. Kumar, S. Kumar, S. Kundu, P. Kurashvili, A. Kurepin, A. B. Kurepin, A. Kuryakin, S. Kushpil, J. Kvapil, M. J. Kweon, J. Y. Kwon, Y. Kwon, S. L. La Pointe, P. La Rocca, Y. S. Lai, A. Lakrathok, M. Lamanna, R. Langoy, P. Larionov, E. Laudi, L. Lautner, R. Lavicka, T. Lazareva, R. Lea, H. Lee, G. Legras, J. Lehrbach, T. M. Lelek, R. C. Lemmon, I. León Monzón, M. M. Lesch, E. D. Lesser, M. Lettrich, P. Lévai, X. Li, X. L. Li, J. Lien, R. Lietava, I. Likmeta, B. Lim, S. H. Lim, V. Lindenstruth, A. Lindner, C. Lippmann, A. Liu, D. H. Liu, J. Liu, I. M. Lofnes, C. Loizides, S. Lokos, J. Lömker, P. Loncar, J. A. Lopez, X. Lopez, E. López Torres, P. Lu, J. R. Luhder, M. Lunardon, G. Luparello, Y. G. Ma, A. Maevskaya, M. Mager, T. Mahmoud, A. Maire, M. V. Makariev, M. Malaev, G. Malfattore, N. M. Malik, Q. W. Malik, S. K. Malik, L. Malinina, D. Mal’Kevich, D. Mallick, N. Mallick, G. Mandaglio, S. K. Mandal, V. Manko, F. Manso, V. Manzari, Y. Mao, G. V. Margagliotti, A. Margotti, A. Marín, C. Markert, P. Martinengo, J. L. Martinez, M. I. Martínez, G. Martínez García, S. Masciocchi, M. Masera, A. Masoni, L. Massacrier, A. Mastroserio, O. Matonoha, P. F. T. Matuoka, A. Matyja, C. Mayer, A. L. Mazuecos, F. Mazzaschi, M. Mazzilli, J. E. Mdhluli, A. F. Mechler, Y. Melikyan, A. Menchaca-Rocha, E. Meninno, A. S. Menon, M. Meres, S. Mhlanga, Y. Miake, L. Micheletti, L. C. Migliorin, D. L. Mihaylov, K. Mikhaylov, A. N. Mishra, D. Miśkowiec, A. Modak, A. P. Mohanty, B. Mohanty, M. Mohisin Khan, M. A. Molander, Z. Moravcova, C. Mordasini, D. A. Moreira De Godoy, I. Morozov, A. Morsch, T. Mrnjavac, V. Muccifora, S. Muhuri, J. D. Mulligan, A. Mulliri, M. G. Munhoz, R. H. Munzer, H. Murakami, S. Murray, L. Musa, J. Musinsky, J. W. Myrcha, B. Naik, A. I. Nambrath, B. K. Nandi, R. Nania, E. Nappi, A. F. Nassirpour, A. Nath, C. Nattrass, M. N. Naydenov, A. Neagu, A. Negru, L. Nellen, S. V. Nesbo, G. Neskovic, D. Nesterov, B. S. Nielsen, E. G. Nielsen, S. Nikolaev, S. Nikulin, V. Nikulin, F. Noferini, S. Noh, P. Nomokonov, J. Norman, N. Novitzky, P. Nowakowski, A. Nyanin, J. Nystrand, M. Ogino, A. Ohlson, V. A. Okorokov, J. Oleniacz, A. C. Oliveira Da Silva, M. H. Oliver, A. Onnerstad, C. Oppedisano, A. Ortiz Velasquez, J. Otwinowski, M. Oya, K. Oyama, Y. Pachmayer, S. Padhan, D. Pagano, G. Paić, S. Paisano-Guzmán, A. Palasciano, S. Panebianco, H. Park, J. Park, J. E. Parkkila, R. N. Patra, B. Paul, H. Pei, T. Peitzmann, X. Peng, M. Pennisi, L. G. Pereira, D. Peresunko, G. M. Perez, S. Perrin, Y. Pestov, V. Petráček, V. Petrov, M. Petrovici, R. P. Pezzi, S. Piano, M. Pikna, P. Pillot, O. Pinazza, L. Pinsky, C. Pinto, S. Pisano, M. Płoskoń, M. Planinic, F. Pliquett, M. G. Poghosyan, B. Polichtchouk, S. Politano, N. Poljak, A. Pop, S. Porteboeuf-Houssais, V. Pozdniakov, K. K. Pradhan, S. K. Prasad, S. Prasad, R. Preghenella, F. Prino, C. A. Pruneau, I. Pshenichnov, M. Puccio, S. Pucillo, Z. Pugelova, S. Qiu, L. Quaglia, R. E. Quishpe, S. Ragoni, A. Rakotozafindrabe, L. Ramello, F. Rami, T. A. Rancien, M. Rasa, S. S. Räsänen, R. Rath, M. P. Rauch, I. Ravasenga, K. F. Read, C. Reckziegel, A. R. Redelbach, K. Redlich, C. A. Reetz, H. D. Regules-Medel, A. Rehman, F. Reidt, H. A. Reme-Ness, Z. Rescakova, K. Reygers, A. Riabov, V. Riabov, R. Ricci, M. Richter, A. A. Riedel, W. Riegler, C. Ristea, M. Rodríguez Cahuantzi, S. A. Rodríguez Ramírez, K. Røed, R. Rogalev, E. Rogochaya, T. S. Rogoschinski, D. Rohr, D. Röhrich, P. F. Rojas, S. Rojas Torres, P. S. Rokita, G. Romanenko, F. Ronchetti, A. Rosano, E. D. Rosas, K. Roslon, A. Rossi, A. Roy, S. Roy, N. Rubini, D. Ruggiano, R. Rui, B. Rumyantsev, P. G. Russek, R. Russo, A. Rustamov, E. Ryabinkin, Y. Ryabov, A. Rybicki, H. Rytkonen, W. Rzesa, O. A. M. Saarimaki, R. Sadek, S. Sadhu, S. Sadovsky, J. Saetre, K. Šafařík, S. K. Saha, S. Saha, B. Sahoo, R. Sahoo, S. Sahoo, D. Sahu, P. K. Sahu, J. Saini, K. Sajdakova, S. Sakai, M. P. Salvan, S. Sambyal, I. Sanna, T. B. Saramela, D. Sarkar, N. Sarkar, P. Sarma, V. Sarritzu, V. M. Sarti, M. H. P. Sas, J. Schambach, H. S. Scheid, C. Schiaua, R. Schicker, A. Schmah, C. Schmidt, H. R. Schmidt, M. O. Schmidt, M. Schmidt, N. V. Schmidt, A. R. Schmier, R. Schotter, A. Schröter, J. Schukraft, K. Schwarz, K. Schweda, G. Scioli, E. Scomparin, J. E. Seger, Y. Sekiguchi, D. Sekihata, I. Selyuzhenkov, S. Senyukov, J. J. Seo, D. Serebryakov, L. Šerkšnytė, A. Sevcenco, T. J. Shaba, A. Shabetai, R. Shahoyan, A. Shangaraev, A. Sharma, B. Sharma, D. Sharma, H. Sharma, M. Sharma, S. Sharma, U. Sharma, A. Shatat, O. Sheibani, K. Shigaki, M. Shimomura, J. Shin, S. Shirinkin, Q. Shou, Y. Sibiriak, S. Siddhanta, T. Siemiarczuk, T. F. Silva, D. Silvermyr, T. Simantathammakul, R. Simeonov, B. Singh, R. Singh, S. Singh, V. K. Singh, V. Singhal, T. Sinha, B. Sitar, M. Sitta, T. B. Skaali, G. Skorodumovs, M. Slupecki, N. Smirnov, R. J. M. Snellings, E. H. Solheim, J. Song, A. Songmoolnak, F. Soramel, R. Spijkers, I. Sputowska, J. Staa, J. Stachel, I. Stan, P. J. Steffanic, S. F. Stiefelmaier, D. Stocco, I. Storehaug, P. Stratmann, S. Strazzi, C. P. Stylianidis, A. A. P. Suaide, C. Suire, M. Sukhanov, M. Suljic, R. Sultanov, V. Sumberia, S. Sumowidagdo, S. Swain, I. Szarka, M. Szymkowski, S. F. Taghavi, G. Taillepied, J. Takahashi, G. J. Tambave, S. Tang, Z. Tang, J. D. Tapia Takaki, N. Tapus, L. A. Tarasovicova, M. G. Tarzila, G. F. Tassielli, A. Tauro, G. Tejeda Muñoz, A. Telesca, L. Terlizzi, C. Terrevoli, G. Tersimonov, S. Thakur, D. Thomas, A. Tikhonov, A. R. Timmins, M. Tkacik, T. Tkacik, A. Toia, R. Tokumoto, N. Topilskaya, M. Toppi, F. Torales-Acosta, T. Tork, A. G. Torres Ramos, A. Trifiró, A. S. Triolo, S. Tripathy, T. Tripathy, S. Trogolo, V. Trubnikov, W. H. Trzaska, T. P. Trzcinski, A. Tumkin, R. Turrisi, T. S. Tveter, K. Ullaland, B. Ulukutlu, A. Uras, M. Urioni, G. L. Usai, M. Vala, N. Valle, L. V. R. van Doremalen, C. Van Hulse, M. van Leeuwen, C. A. van Veen, R. J. G. van Weelden, P. Vande Vyvre, D. Varga, Z. Varga, M. Vasileiou, A. Vasiliev, O. Vázquez Doce, O. Vazquez Rueda, V. Vechernin, E. Vercellin, S. Vergara Limón, L. Vermunt, R. Vértesi, M. Verweij, L. Vickovic, Z. Vilakazi, O. Villalobos Baillie, A. Villani, G. Vino, A. Vinogradov, T. Virgili, M. M. O. Virta, V. Vislavicius, A. Vodopyanov, B. Volkel, M. A. Völkl, K. Voloshin, S. A. Voloshin, G. Volpe, B. von Haller, I. Vorobyev, N. Vozniuk, J. Vrláková, C. Wang, D. Wang, Y. Wang, A. Wegrzynek, F. T. Weiglhofer, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, B. Windelband, M. Winn, J. R. Wright, W. Wu, Y. Wu, R. Xu, A. Yadav, A. K. Yadav, S. Yalcin, Y. Yamaguchi, S. Yang, S. Yano, Z. Yin, I.-K. Yoo, J. H. Yoon, S. Yuan, A. Yuncu, V. Zaccolo, C. Zampolli, F. Zanone, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, M. Zhalov, B. Zhang, L. Zhang, M. Zhang, S. Zhang, X. Zhang, Y. Zhang, Z. Zhang, M. Zhao, V. Zherebchevskii, Y. Zhi, D. Zhou, Y. Zhou, J. Zhu, Y. Zhu, S. C. Zugravel, and N. Zurlo
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Heavy Ion Experiments ,Jets ,Particle Correlations and Fluctuations ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract The azimuthal anisotropy of particles associated with jets (jet particles) at midrapidity is measured for the first time in p-Pb and Pb-Pb collisions at s NN $$ \sqrt{{\textrm{s}}_{\textrm{NN}}} $$ = 5.02 TeV down to transverse momentum (p T) of 0.5 GeV/c and 2 GeV/c, respectively, with ALICE. The results obtained in p-Pb collisions are based on a novel three-particle correlation technique. The azimuthal anisotropy coefficient v 2 in high-multiplicity p-Pb collisions is positive, with a significance reaching 6.8σ at low p T, and its magnitude is smaller than in semicentral Pb-Pb collisions. In contrast to the measurements in Pb-Pb collisions, the v 2 coefficient is also found independent of p T within uncertainties. Comparisons with the inclusive charged-particle v 2 and with AMPT calculations are discussed. The predictions suggest that parton interactions play an important role in generating a non-zero jet-particle v 2 in p-Pb collisions, even though they overestimate the reported measurement. These observations shed new insights on the understanding of the origin of the collective behaviour of jet particles in small systems such as p-Pb collisions, and provide significant stringent new constraints to models.
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- 2024
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20. In silico, in vitro, and in vivo acute and sub-acute toxicity profiling of whole plant methanol extract of Equisetum diffusum D. Don from the sub-Himalayan West Bengal, India, having ethnobotanical uses
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Sourav Sarkar, Debabrata Modak, Sudipta Kumar Roy, Anupam Biswas, Mafidul Islam, Rinku Baishya, Sujoy Bose, John J. Georrge, and Soumen Bhattacharjee
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Equisetum diffusum D. Don ,ADME-Toxicity ,HEK293 ,Huh7 ,Acute toxicity ,Sub-acute toxicity ,Other systems of medicine ,RZ201-999 - Abstract
Abstract Background Equisetum diffusum D. Don commonly known as ‘Himalayan horsetail’, has been traditionally used in the treatment of back pain, bone fracture and dislocation, and arthritis by various tribal communities of India. Our previous study confirmed the anti-inflammatory efficacy of the plant through in silico, in vitro, and in vivo model studies. Therefore, the current research is focused on safety dose evaluation for the first-time of the whole-plant methanol extract (EDME) of E. diffusum through appropriate in silico, in vitro, and in vivo approaches. Method The whole plant, along with its rhizomes, was collected, and the methanol extract was prepared. The in silico ADMET study was performed to predict the pharmacokinetics profile and toxicity of all the identified phyto-compounds of EDME previously screened by GC–MS study. In vitro cytotoxicity study of EDME was performed using two cell lines: kidney (HEK293) and liver (Huh7) cell lines. The in vivo toxicity study of EDME was validated by the acute toxicity (OECD 423, 2002) and sub-acute toxicity assays (OECD 407, 2008) in the Wistar Albino rat model. Results The in silico ADMET study of all 47 bioactives predicted good pharmacokinetic and low toxicity profiles. In vitro cytotoxicity showed higher IC50 values of EDME viz., 672 ± 15.7 μg/mL and 1698 ± 6.54 μg/mL for both kidney (HEK293) and liver (Huh7) cell lines, respectively, which were considered as low-toxic. Based on acute oral toxicity, the LD50 value of the extract was considered “non-toxic” up to a feeding range of 2000 mg/kg of body weight. The regular consumption of the extract for an extended period (28 days) was also qualified as safe based on the body and organ weight, hematological, biochemical, and histoarchitecture results in the sub-acute toxicity assay. Conclusion The detailed in silico, in vitro, in vivo (acute and sub-acute oral toxicity) studies gave us a new insight to the safety dose evaluation of Equisetum diffusum, which may serve as a reliable documentation for undertaking the experimental validation of the ethnobotanical uses of the plant which would help in the field of drug development for the treatment of inflammation related complications.
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- 2024
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21. BioTrojans: viscoelastic microvalve-based attacks in flow-based microfluidic biochips and their countermeasures
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Navajit Singh Baban, Jiarui Zhou, Kamil Elkhoury, Sukanta Bhattacharjee, Sanjairaj Vijayavenkataraman, Nikhil Gupta, Yong-Ak Song, Krishnendu Chakrabarty, and Ramesh Karri
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Microfluidics ,Biochips ,Lab-on-a-Chip ,Microvalves ,PDMS ,Biomedical research ,Medicine ,Science - Abstract
Abstract Flow-based microfluidic biochips (FMBs) are widely used in biomedical research and diagnostics. However, their security against potential material-level cyber-physical attacks remains inadequately explored, posing a significant future challenge. One of the main components, polydimethylsiloxane (PDMS) microvalves, is pivotal to FMBs' functionality. However, their fabrication, which involves thermal curing, makes them susceptible to chemical tampering-induced material degradation attacks. Here, we demonstrate one such material-based attack termed “BioTrojans,” which are chemically tampered and optically stealthy microvalves that can be ruptured through low-frequency actuations. To chemically tamper with the microvalves, we altered the associated PDMS curing ratio. Attack demonstrations showed that BioTrojan valves with 30:1 and 50:1 curing ratios ruptured quickly under 2 Hz frequency actuations, while authentic microvalves with a 10:1 ratio remained intact even after being actuated at the same frequency for 2 days (345,600 cycles). Dynamic mechanical analyzer (DMA) results and associated finite element analysis revealed that a BioTrojan valve stores three orders of magnitude more mechanical energy than the authentic one, making it highly susceptible to low-frequency-induced ruptures. To counter BioTrojan attacks, we propose a security-by-design approach using smooth peripheral fillets to reduce stress concentration by over 50% and a spectral authentication method using fluorescent microvalves capable of effectively detecting BioTrojans.
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- 2024
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22. Alignment of behaviour and tDCS stimulation site induces maximum response: evidence from online tDCS and ERP
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Sagarika Bhattacharjee, Rajan Kashyap, Kaviraja Udupa, Shahid Bashir, Ganesan Venkatsubramanian, Kenichi Oishi, John E. Desmond, Brenda Rapp, and S. H. Annabel Chen
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tDCS ,Word priming ,Event-related potential (ERP) ,Medicine ,Science - Abstract
Abstract tDCS modulates the activity of the neuronal networks to induce the desired behavioural changes. Two factors determine its effectiveness- (1) whether the network being stimulated is relevant to the task, and (2) if there is a scope for improvement in behavioral performance. To explore this, both dorsal (sub-lexical) and ventral (lexical) reading networks were stimulated (20 min, 2 mA) in 25 healthy young volunteers. Participants performed two reading tasks with different levels of lexical involvement: word fragment completion tasks (WCT) and word association tasks (WAT), while event-related potentials (ERPs) were recorded simultaneously. The study used a within-subject design over three sessions, comparing various electrode montages targeting the dorsal pathway's left inferior parietal lobule or the ventral reading pathway's left middle temporal lobule, as well as sham stimulation. The impact of tDCS sessions (dorsal, ventral, & sham) and task type (WCT & WAT) on priming effects (primed vs. unprimed) of behavioral performance (accuracy and reaction times), and ERP parameters (N400 amplitudes and latencies) were statistically analyzed.It was found that tDCS modulated the performance of WAT only (a task with a lower priming effect). The failure to modulate WCT (larger priming effect) indicated that tDCS was effective for conditions with room for improvement compared to a task where performance has reached the ceiling. Ventral stimulation enhanced accuracy in the WAT condition and shortened the N400 latency of the priming effect. In contrast, dorsal stimulation delayed the priming effect reaction time in the WAT condition and enhanced the N400 amplitude. To conclude, enhancement in performance due to tDCS occurs when the network (ventral) being stimulated aligns with the cognitive demands of the task and there is a scope for improvement.
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- 2024
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23. From uncertain to certain—how to proceed with variants of uncertain significance
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Emili Banerjee, Suman Pal, Abhijit Biswas, and Koutilya Bhattacharjee
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Uncertain ,VUS ,Variants of uncertain significance ,Genetic diagnosis ,SNVs ,NGS test ,Medicine (General) ,R5-920 ,Reproduction ,QH471-489 - Abstract
Abstract With the increased next generation sequencing (NGS) based genetic diagnosis due to technological boon, the biomedical world is getting a substantial number of single nucleotide variations (SNVs) every day along with other genetic variations. The detected SNVs may or may not have clinical significance. Based on different levels of study, these SNVs are categorized either as disease associated or not disease associated. However, there exists another category called as “uncertain” where the scientific literature has scanty of data. These “uncertain” or “variants of uncertain significance (VUS)” has become the greatest challenge for the diagnostic fraternity since no specific decision can be taken by them for the persons carrying the VUS. Therefore, there exists a huge knowledge gap that needs to be addressed for better patient care. The present study aims to find out the possible ways of investigation that may help in reducing this knowledge gap so that decisive approaches can be made against VUS for better and accurate patient care.
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- 2024
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24. Functional integration of services during the antenatal period can potentially improve childhood growth parameters beyond infancy: findings from a post-interventional follow-up study in West Bengal, India
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Kayur Mehta, Sreeparna Ghosh Mukherjee, Ipsita Bhattacharjee, Kassandra Fate, Shivani Kachwaha, Tushara Rajeev, Aastha Kant, Meghendra Banerjee, and Anita Shet
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Maternal nutrition ,Child undernutrition ,Antenatal care ,Functional integration ,India ,Nutrition. Foods and food supply ,TX341-641 ,Food processing and manufacture ,TP368-456 ,Medicine (General) ,R5-920 - Abstract
Abstract Background Despite progress, the prevalence of childhood undernutrition in India remains amongst the highest globally. Objective We aimed to evaluate the impact of a functional integration interventional package during the antenatal period on childhood growth parameters. Methods This is a post-interventional follow-up study of a maternal nutrition interventional study conducted between 2018 and 2019 among women in their first trimester of pregnancy from three districts in West Bengal, India. Pregnant women received a package of augmented interventions from study staff which supplemented those provided to them under the state-run programmes, that included body-mass-index measurement at pregnancy registration, monthly weight monitoring, targeted dietary counselling, supervised supplementary nutrition intake and iron-folic acid supplementation during daily anganwadi center visits. In the current follow-up study conducted in 2021, age-matched pregnant women from the same areas who were pregnant during the same period as in the original study and had received standard-of-care under the state-run programmes were recruited into a comparison group. Study staff collected data regarding maternal height and serial weights that were recorded at antenatal visits in 2018-19, and birth and infant characteristics. Child height and weight were measured during the follow-up visit in 2021, which were used to calculate the relative risks of stunting, wasting and underweight using generalized linear models, to understand the sustained impact of the intervention beyond infancy. Eight-hundred-nine mother-child dyads (406 intervention; 403 comparison) were followed. Results Median age of women in the intervention and comparison group was 23 (IQR 20–25) and 25 (IQR 24–27) years respectively. Median gestational-weight-gain was higher amongst intervention group women (9 vs. 8 kg, p = 0.04). Low-birth-weight prevalence was 29.3% (119/406) and 32.0% (129/403) in the intervention and comparison group. At 12–35 months of age, children born to women in the intervention group had significantly reduced risk of stunting (RR = 0.65, 95% CI 0.44–0.94), wasting (RR = 0.57, 95% CI 0.33–0.97) and underweight (RR = 0.61, 95% CI 0.42–0.88). Conclusions These results indicate that functional integration and strengthening of routine antenatal care services including targeted nutritional counselling to expectant mothers can have distal beneficial effects on childhood undernutrition beyond the immediate post-natal period.
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- 2024
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25. Genome-wide large-scale multi-trait analysis characterizes global patterns of pleiotropy and unique trait-specific variants
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Guanghao Qi, Surya B. Chhetri, Debashree Ray, Diptavo Dutta, Alexis Battle, Samsiddhi Bhattacharjee, and Nilanjan Chatterjee
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Science - Abstract
Abstract Genome-wide association studies (GWAS) have found widespread evidence of pleiotropy, but characterization of global patterns of pleiotropy remain highly incomplete due to insufficient power of current approaches. We develop fastASSET, a method that allows efficient detection of variant-level pleiotropic association across many traits. We analyze GWAS summary statistics of 116 complex traits of diverse types collected from the GRASP repository and large GWAS Consortia. We identify 2293 independent loci and find that the lead variants in nearly all these loci (~99%) to be associated with $$\ge 2$$ ≥ 2 traits (median = 6). We observe that degree of pleiotropy estimated from our study predicts that observed in the UK Biobank for a much larger number of traits (K = 4114) (correlation = 0.43, p-value $$ < 2.2\times {10}^{-16}$$ < 2.2 × 10 − 16 ). Follow-up analyzes of 21 trait-specific variants indicate their link to the expression in trait-related tissues for a small number of genes involved in relevant biological processes. Our findings provide deeper insight into the nature of pleiotropy and leads to identification of highly trait-specific susceptibility variants.
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- 2024
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26. The ALICE experiment: a journey through QCD
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ALICE Collaboration, S. Acharya, D. Adamová, A. Adler, G. Aglieri Rinella, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, A. Akindinov, M. Al-Turany, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, B. Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, G. Alocco, T. Alt, I. Altsybeev, J. R. Alvarado, M. N. Anaam, C. Andrei, A. Andronic, V. Anguelov, F. Antinori, P. Antonioli, N. Apadula, L. Aphecetche, H. Appelshäuser, C. Arata, S. Arcelli, M. Aresti, R. Arnaldi, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, M. D. Azmi, A. Badalà, J. Bae, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, R. Bala, A. Balbino, A. Baldisseri, B. Balis, D. Banerjee, Z. Banoo, R. Barbera, F. Barile, L. Barioglio, M. Barlou, G. G. Barnaföldi, L. S. Barnby, V. Barret, L. Barreto, C. Bartels, K. Barth, E. Bartsch, N. Bastid, S. Basu, G. Batigne, D. Battistini, B. Batyunya, D. Bauri, J. L. Bazo Alba, I. G. Bearden, C. Beattie, P. Becht, D. Behera, I. Belikov, A. D. C. Bell Hechavarria, F. Bellini, R. Bellwied, S. Belokurova, V. Belyaev, G. Bencedi, S. Beole, A. Bercuci, Y. Berdnikov, A. Berdnikova, L. Bergmann, M. G. Besoiu, L. Betev, P. P. Bhaduri, A. Bhasin, M. A. Bhat, B. Bhattacharjee, L. Bianchi, N. Bianchi, J. Bielčík, J. Bielčíková, J. Biernat, A. P. Bigot, A. Bilandzic, G. Biro, S. Biswas, N. Bize, J. T. Blair, D. Blau, M. B. Blidaru, N. Bluhme, C. Blume, G. Boca, F. Bock, T. Bodova, A. Bogdanov, S. Boi, J. Bok, L. Boldizsár, A. Bolozdynya, M. Bombara, P. M. Bond, G. Bonomi, H. Borel, A. Borissov, A. G. Borquez Carcamo, H. Bossi, E. Botta, Y. E. M. Bouziani, L. Bratrud, P. Braun-Munzinger, M. Bregant, M. Broz, G. E. Bruno, M. D. Buckland, D. Budnikov, H. Buesching, S. Bufalino, O. Bugnon, P. Buhler, Z. Buthelezi, S. A. Bysiak, M. Cai, H. Caines, A. Caliva, E. Calvo Villar, J. M. M. Camacho, P. Camerini, F. D. M. Canedo, S. L. Cantway, M. Carabas, A. A. Carballo, F. Carnesecchi, R. Caron, L. A. D. Carvalho, J. Castillo Castellanos, A. J. Castro, F. Catalano, C. Ceballos Sanchez, I. Chakaberia, P. Chakraborty, S. Chandra, S. Chapeland, M. Chartier, S. Chattopadhyay, T. Cheng, C. Cheshkov, B. Cheynis, V. Chibante Barroso, D. D. Chinellato, E. S. Chizzali, J. Cho, S. Cho, P. Chochula, P. Christakoglou, C. H. Christensen, P. Christiansen, T. Chujo, M. Ciacco, C. Cicalo, F. Cindolo, M. R. Ciupek, G. Clai, F. Colamaria, J. S. Colburn, D. Colella, M. Colocci, M. Concas, G. Conesa Balbastre, Z. Conesa del Valle, G. Contin, J. G. Contreras, M. L. Coquet, T. M. Cormier, P. Cortese, M. R. Cosentino, F. Costa, S. Costanza, C. Cot, J. Crkovská, P. Crochet, R. Cruz-Torres, E. Cuautle, P. Cui, A. Dainese, F. P. A. Damas, M. C. Danisch, A. Danu, D. Das, P. Das, S. Das, A. R. Dash, S. Dash, A. De Caro, G. de Cataldo, J. de Cuveland, A. De Falco, D. De Gruttola, N. De Marco, C. De Martin, S. De Pasquale, S. Deb, R. J. Debski, K. R. Deja, R. Del Grande, L. Dello Stritto, W. Deng, P. Dhankher, D. Di Bari, A. Di Mauro, B. Diab, R. A. Diaz, T. Dietel, Y. Ding, R. Divià, D. U. Dixit, Ø. Djuvsland, U. Dmitrieva, A. Dobrin, B. Dönigus, J. M. Dubinski, A. Dubla, S. Dudi, P. Dupieux, M. Durkac, N. Dzalaiova, T. M. Eder, R. J. Ehlers, V. N. Eikeland, F. Eisenhut, D. Elia, B. Erazmus, F. Ercolessi, F. Erhardt, M. R. Ersdal, B. Espagnon, G. Eulisse, D. Evans, S. Evdokimov, L. Fabbietti, M. Faggin, J. Faivre, F. Fan, W. Fan, A. Fantoni, M. Fasel, P. Fecchio, A. Feliciello, G. Feofilov, A. Fernández Téllez, L. Ferrandi, M. B. Ferrer, A. Ferrero, C. Ferrero, A. Ferretti, V. J. G. Feuillard, V. Filova, D. Finogeev, F. M. Fionda, F. Flor, A. N. Flores, S. Foertsch, I. Fokin, S. Fokin, E. Fragiacomo, E. Frajna, U. Fuchs, N. Funicello, C. Furget, A. Furs, T. Fusayasu, J. J. Gaardhøje, M. Gagliardi, A. M. Gago, M. Gallio, C. D. Galvan, D. R. Gangadharan, P. Ganoti, C. Garabatos, T. García Chávez, E. Garcia-Solis, K. Garg, C. Gargiulo, K. Garner, P. Gasik, E. F. Gauger, A. Gautam, M. B. Gay Ducati, M. Germain, C. Ghosh, M. Giacalone, P. Giubellino, P. Giubilato, A. M. C. Glaenzer, P. Glässel, E. Glimos, D. J. Q. Goh, V. Gonzalez, L. H. González-Trueba, M. Gorgon, S. Gotovac, V. Grabski, L. K. Graczykowski, E. Grecka, A. Grelli, C. Grigoras, V. Grigoriev, S. Grigoryan, F. Grosa, J. F. Grosse-Oetringhaus, R. Grosso, D. Grund, G. G. Guardiano, R. Guernane, M. Guilbaud, K. Gulbrandsen, T. Gündem, T. Gunji, W. Guo, A. Gupta, R. Gupta, L. Gyulai, M. K. Habib, C. Hadjidakis, F. U. Haider, H. Hamagaki, A. Hamdi, M. Hamid, Y. Han, R. Hannigan, M. R. Haque, J. W. Harris, A. Harton, H. Hassan, D. Hatzifotiadou, P. Hauer, L. B. Havener, S. T. Heckel, E. Hellbär, H. Helstrup, M. Hemmer, T. Herman, G. Herrera Corral, F. Herrmann, S. Herrmann, K. F. Hetland, B. Heybeck, H. Hillemanns, C. Hills, B. Hippolyte, B. Hofman, B. Hohlweger, G. H. Hong, M. Horst, A. Horzyk, R. Hosokawa, Y. Hou, P. Hristov, C. Hughes, P. Huhn, L. M. Huhta, T. J. Humanic, A. Hutson, D. Hutter, J. P. Iddon, R. Ilkaev, H. Ilyas, M. Inaba, G. M. Innocenti, M. Ippolitov, A. Isakov, T. Isidori, M. S. Islam, M. Ivanov, V. Ivanov, M. Jablonski, B. Jacak, N. Jacazio, P. M. Jacobs, S. Jadlovska, J. Jadlovsky, S. Jaelani, L. Jaffe, C. Jahnke, M. J. Jakubowska, M. A. Janik, T. Janson, M. Jercic, S. Jia, A. A. P. Jimenez, F. Jonas, J. M. Jowett, J. Jung, M. Jung, A. Junique, A. Jusko, J. Kaewjai, P. Kalinak, A. S. Kalteyer, A. Kalweit, V. Kaplin, A. Karasu Uysal, D. Karatovic, O. Karavichev, T. Karavicheva, P. Karczmarczyk, E. Karpechev, M. J. Karwowska, U. Kebschull, R. Keidel, D. L. D. Keijdener, M. Keil, B. Ketzer, A. M. Khan, S. Khan, A. Khanzadeev, Y. Kharlov, A. Khatun, A. Khuntia, M. B. Kidson, B. Kileng, B. Kim, C. Kim, D. J. Kim, E. J. Kim, J. Kim, J. S. Kim, M. Kim, S. Kim, T. Kim, K. Kimura, S. Kirsch, I. Kisel, S. Kiselev, A. Kisiel, J. P. Kitowski, J. L. Klay, J. Klein, S. Klein, C. Klein-Bösing, M. Kleiner, T. Klemenz, A. Kluge, A. G. Knospe, C. Kobdaj, T. Kollegger, A. Kondratyev, N. Kondratyeva, E. Kondratyuk, J. Konig, S. A. Konigstorfer, P. J. Konopka, G. Kornakov, M. Korwieser, S. D. Koryciak, A. Kotliarov, V. Kovalenko, M. Kowalski, V. Kozhuharov, I. Králik, A. Kravčáková, L. Kreis, M. Krivda, F. Krizek, K. Krizkova Gajdosova, M. Kroesen, M. Krüger, D. M. Krupova, E. Kryshen, V. Kučera, C. Kuhn, P. G. Kuijer, T. Kumaoka, D. Kumar, L. Kumar, N. Kumar, S. Kumar, S. Kundu, P. Kurashvili, A. Kurepin, A. B. Kurepin, A. Kuryakin, S. Kushpil, J. Kvapil, M. J. Kweon, J. Y. Kwon, Y. Kwon, S. L. La Pointe, P. La Rocca, Y. S. Lai, A. Lakrathok, M. Lamanna, R. Langoy, P. Larionov, E. Laudi, L. Lautner, R. Lavicka, T. Lazareva, R. Lea, H. Lee, G. Legras, J. Lehrbach, R. C. Lemmon, I. León Monzón, M. M. Lesch, E. D. Lesser, M. Lettrich, P. Lévai, X. Li, X. L. Li, J. Lien, R. Lietava, B. Lim, S. H. Lim, V. Lindenstruth, A. Lindner, C. Lippmann, A. Liu, D. H. Liu, J. Liu, I. M. Lofnes, C. Loizides, S. Lokos, J. Lömker, P. Loncar, J. A. Lopez, X. Lopez, E. López Torres, P. Lu, J. R. Luhder, M. Lunardon, G. Luparello, Y. G. Ma, A. Maevskaya, M. Mager, T. Mahmoud, A. Maire, R. D. Majka, M. V. Makariev, M. Malaev, G. Malfattore, N. M. Malik, Q. W. Malik, S. K. Malik, L. Malinina, D. Mal’Kevich, D. Mallick, N. Mallick, G. Mandaglio, V. Manko, F. Manso, V. Manzari, Y. Mao, G. V. Margagliotti, A. Margotti, A. Marín, C. Markert, P. Martinengo, J. L. Martinez, M. I. Martínez, G. Martínez García, S. Masciocchi, M. Masera, A. Masoni, L. Massacrier, A. Mastroserio, O. Matonoha, P. F. T. Matuoka, A. Matyja, C. Mayer, J. Mazer, A. L. Mazuecos, F. Mazzaschi, M. Mazzilli, J. E. Mdhluli, A. F. Mechler, Y. Melikyan, A. Menchaca-Rocha, E. Meninno, A. S. Menon, M. Meres, S. Mhlanga, Y. Miake, L. Micheletti, L. C. Migliorin, D. L. Mihaylov, K. Mikhaylov, A. N. Mishra, D. Miśkowiec, A. Modak, A. P. Mohanty, B. Mohanty, M. Mohisin Khan, M. A. Molander, Z. Moravcova, C. Mordasini, D. A. Moreira De Godoy, I. Morozov, A. Morsch, T. Mrnjavac, V. Muccifora, S. Muhuri, J. D. Mulligan, A. Mulliri, M. G. Munhoz, R. H. Munzer, H. Murakami, S. Murray, L. Musa, J. Musinsky, J. W. Myrcha, B. Naik, A. I. Nambrath, B. K. Nandi, R. Nania, E. Nappi, A. F. Nassirpour, A. Nath, C. Nattrass, T. K. Nayak, M. N. Naydenov, A. Neagu, A. Negru, L. Nellen, S. V. Nesbo, G. Neskovic, D. Nesterov, B. S. Nielsen, E. G. Nielsen, S. Nikolaev, S. Nikulin, V. Nikulin, F. Noferini, S. Noh, P. Nomokonov, J. Norman, N. Novitzky, P. Nowakowski, A. Nyanin, J. Nystrand, M. Ogino, A. Ohlson, V. A. Okorokov, J. Oleniacz, A. C. Oliveira Da Silva, M. H. Oliver, A. Onnerstad, C. Oppedisano, A. Ortiz Velasquez, J. Otwinowski, M. Oya, K. Oyama, Y. Pachmayer, S. Padhan, D. Pagano, G. Paić, S. Paisano-Guzmán, A. Palasciano, A. Palmeri, S. Panebianco, G. S. Pappalardo, H. Park, J. Park, J. E. Parkkila, R. N. Patra, B. Paul, H. Pei, T. Peitzmann, X. Peng, M. Pennisi, L. G. Pereira, H. Pereira Da Costa, D. Peresunko, G. M. Perez, S. Perrin, Y. Pestov, V. Petráček, V. Petrov, M. Petrovici, R. P. Pezzi, S. Piano, M. Pikna, P. Pillot, O. Pinazza, L. Pinsky, C. Pinto, S. Pisano, M. Płoskoń, M. Planinic, F. Pliquett, M. G. Poghosyan, B. Polichtchouk, S. Politano, N. Poljak, A. Pop, S. Porteboeuf-Houssais, V. Pozdniakov, K. K. Pradhan, S. K. Prasad, S. Prasad, R. Preghenella, F. Prino, C. A. Pruneau, I. Pshenichnov, M. Puccio, S. Pucillo, Z. Pugelova, S. Qiu, L. Quaglia, R. E. Quishpe, S. Ragoni, A. Rakotozafindrabe, L. Ramello, F. Rami, T. A. Rancien, M. Rasa, S. S. Räsänen, R. Rath, M. P. Rauch, I. Ravasenga, K. F. Read, C. Reckziegel, A. R. Redelbach, K. Redlich, C. A. Reetz, H. D. Regules-Medel, A. Rehman, F. Reidt, H. A. Reme-Ness, Z. Rescakova, K. Reygers, A. Riabov, V. Riabov, R. Ricci, M. Richter, A. A. Riedel, W. Riegler, F. Riggi, C. Ristea, M. Rodríguez Cahuantzi, S. A. Rodríguez Ramírez, K. Røed, R. Rogalev, E. Rogochaya, T. S. Rogoschinski, D. Rohr, D. Röhrich, P. F. Rojas, S. Rojas Torres, P. S. Rokita, G. Romanenko, F. Ronchetti, A. Rosano, E. D. Rosas, A. Rossi, A. Roy, S. Roy, N. Rubini, D. Ruggiano, R. Rui, B. Rumyantsev, P. G. Russek, R. Russo, A. Rustamov, E. Ryabinkin, Y. Ryabov, A. Rybicki, H. Rytkonen, W. Rzesa, O. A. M. Saarimaki, R. Sadek, S. Sadhu, S. Sadovsky, J. Saetre, K. Šafařík, S. K. Saha, S. Saha, B. Sahoo, R. Sahoo, S. Sahoo, D. Sahu, P. K. Sahu, J. Saini, K. Sajdakova, S. Sakai, M. P. Salvan, S. Sambyal, I. Sanna, T. B. Saramela, D. Sarkar, N. Sarkar, P. Sarma, V. Sarritzu, V. M. Sarti, M. H. P. Sas, J. Schambach, H. S. Scheid, C. Schiaua, R. Schicker, A. Schmah, C. Schmidt, H. R. Schmidt, M. O. Schmidt, M. Schmidt, N. V. Schmidt, A. R. Schmier, R. Schotter, A. Schröter, J. Schukraft, K. Schwarz, K. Schweda, G. Scioli, E. Scomparin, J. E. Seger, Y. Sekiguchi, D. Sekihata, I. Selyuzhenkov, S. Senyukov, J. J. Seo, D. Serebryakov, L. Šerkšnytė, A. Sevcenco, T. J. Shaba, A. Shabetai, R. Shahoyan, A. Shangaraev, A. Sharma, B. Sharma, D. Sharma, H. Sharma, M. Sharma, S. Sharma, U. Sharma, A. Shatat, O. Sheibani, K. Shigaki, M. Shimomura, J. Shin, S. Shirinkin, Q. Shou, Y. Sibiriak, S. Siddhanta, T. Siemiarczuk, T. F. Silva, D. Silvermyr, T. Simantathammakul, R. Simeonov, B. Singh, R. Singh, S. Singh, V. K. Singh, V. Singhal, T. Sinha, B. Sitar, M. Sitta, T. B. Skaali, G. Skorodumovs, M. Slupecki, N. Smirnov, R. J. M. Snellings, E. H. Solheim, J. Song, A. Songmoolnak, F. Soramel, S. P. Sorensen, R. Spijkers, I. Sputowska, J. Staa, J. Stachel, I. Stan, P. J. Steffanic, S. F. Stiefelmaier, D. Stocco, I. Storehaug, P. Stratmann, S. Strazzi, C. P. Stylianidis, A. A. P. Suaide, C. Suire, M. Sukhanov, M. Suljic, R. Sultanov, V. Sumberia, S. Sumowidagdo, S. Swain, I. Szarka, S. F. Taghavi, G. Taillepied, J. Takahashi, G. J. Tambave, S. Tang, Z. Tang, J. D. Tapia Takaki, N. Tapus, L. A. Tarasovicova, M. G. Tarzila, G. F. Tassielli, A. Tauro, A. Tavira García, G. Tejeda Muñoz, A. Telesca, L. Terlizzi, C. Terrevoli, G. Tersimonov, S. Thakur, D. Thomas, A. Tikhonov, A. R. Timmins, M. Tkacik, T. Tkacik, A. Toia, R. Tokumoto, N. Topilskaya, M. Toppi, F. Torales-Acosta, T. Tork, A. G. Torres Ramos, A. Trifiró, A. S. Triolo, S. Tripathy, T. Tripathy, S. Trogolo, V. Trubnikov, W. H. Trzaska, T. P. Trzcinski, A. Tumkin, R. Turrisi, T. S. Tveter, K. Ullaland, B. Ulukutlu, A. Uras, M. Urioni, G. L. Usai, M. Vala, N. Valle, L. V. R. van Doremalen, C. Van Hulse, M. van Leeuwen, C. A. van Veen, R. J. G. van Weelden, P. Vande Vyvre, D. Varga, Z. Varga, M. Vasileiou, A. Vasiliev, O. Vázquez Doce, O. Vazquez Rueda, V. Vechernin, E. Vercellin, S. Vergara Limón, L. Vermunt, R. Vértesi, M. Verweij, L. Vickovic, Z. Vilakazi, O. Villalobos Baillie, G. Vino, A. Vinogradov, T. Virgili, V. Vislavicius, A. Vodopyanov, B. Volkel, M. A. Völkl, K. Voloshin, S. A. Voloshin, G. Volpe, B. von Haller, I. Vorobyev, N. Vozniuk, J. Vrláková, C. Wang, D. Wang, Y. Wang, M. Weber, A. Wegrzynek, F. T. Weiglhofer, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, B. Windelband, M. Winn, J. R. Wright, W. Wu, Y. Wu, R. Xu, A. Yadav, A. K. Yadav, S. Yalcin, Y. Yamaguchi, S. Yang, S. Yano, Z. Yin, I.-K. Yoo, J. H. Yoon, S. Yuan, A. Yuncu, V. Zaccolo, C. Zampolli, F. Zanone, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, M. Zhalov, B. Zhang, L. Zhang, S. Zhang, X. Zhang, Y. Zhang, Z. Zhang, M. Zhao, V. Zherebchevskii, Y. Zhi, D. Zhou, Y. Zhou, J. Zhu, Y. Zhu, S. C. Zugravel, and N. Zurlo
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Astrophysics ,QB460-466 ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract The ALICE experiment was proposed in 1993, to study strongly-interacting matter at extreme energy densities and temperatures. This proposal entailed a comprehensive investigation of nuclear collisions at the LHC. Its physics programme initially focused on the determination of the properties of the quark–gluon plasma (QGP), a deconfined state of quarks and gluons, created in such collisions. The ALICE physics programme has been extended to cover a broader ensemble of observables related to Quantum Chromodynamics (QCD), the theory of strong interactions. The experiment has studied Pb–Pb, Xe–Xe, p–Pb and pp collisions in the multi-TeV centre of mass energy range, during the Run 1–2 data-taking periods at the LHC (2009–2018). The aim of this review is to summarise the key ALICE physics results in this endeavor, and to discuss their implications on the current understanding of the macroscopic and microscopic properties of strongly-interacting matter at the highest temperatures reached in the laboratory. It will review the latest findings on the properties of the QGP created by heavy-ion collisions at LHC energies, and describe the surprising QGP-like effects in pp and p–Pb collisions. Measurements of few-body QCD interactions, and their impact in unraveling the structure of hadrons and hadronic interactions, will be discussed. ALICE results relevant for physics topics outside the realm of QCD will also be touched upon. Finally, prospects for future measurements with the ALICE detector in the context of its planned upgrades will also be briefly described.
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- 2024
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27. miR-876-3p is a tumor suppressor on 9p21 that is inactivated in melanoma and targets ERK
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Vladimir Bezrookove, Imran Khan, Anukana Bhattacharjee, Juifang Fan, Robyn Jones, Anima Sharma, Mehdi Nosrati, Pierre-Yves Desprez, Nathan Salomonis, Yihui Shi, Altaf Dar, and Mohammed Kashani-Sabet
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Melanoma ,microRNA-876 ,Tumor suppressor ,Mitogen activated protein kinase ,Medicine - Abstract
Abstract Background While melanomas commonly harbor losses of 9p21, on which CDKN2A resides, the presence of additional tumor suppressor elements at this locus is incompletely characterized. Here we assess the expression levels and functional role of microRNA-876-3p (miR-876), whose gene also maps to 9p21. Methods Expression of miR-876 was assessed in human tissues and cell lines using quantitative miRNA reverse transcriptase polymerase chain reaction (qRT-PCR). MIR876 copy number was determined in The Cancer Genome Atlas (TCGA) melanoma cohort. The consequences of regulation of miR-876 expression were assessed on melanoma cell colony formation, migration, invasion, apoptosis, cell cycle progression, and drug sensitivity in culture, and on in vivo tumor growth in a xenograft model. Genome-wide transcriptomic changes induced by miR-876 overexpression were determined using RNA sequencing (RNA-Seq). Results miR-876 expression was significantly decreased in primary melanoma samples when compared with nevi, and in human melanoma cell lines when compared with human melanocytes. Analysis of the TCGA cohort revealed deletions in MIR876 in > 50% of melanomas. miR-876 overexpression resulted in decreased melanoma cell colony formation, migration, and invasion, which was accompanied by cell cycle arrest and increased apoptosis. Intra-tumoral injections of miR-876 significantly suppressed melanoma growth in vivo. RNA-Seq analysis of miR-876-treated tumors revealed downregulation of several growth-promoting genes, along with upregulation of tumor suppressor genes, which was confirmed by qRT-PCR analysis. Computational analyses identified MAPK1 (or ERK2) as a possible target of miR-876 action. Overexpression of miR-876 significantly suppressed luciferase expression driven by the MAPK1/ERK2 3’ UTR, and resulted in decreased ERK protein expression in melanoma cells. MAPK1/ERK2 cDNA overexpression rescued the effects of miR-876 on melanoma colony formation. miR-876 overexpression sensitized melanoma cells to treatment with the BRAF inhibitor vemurafenib. Conclusions These studies identify miR-876 as a distinct tumor suppressor on 9p21 that is inactivated in melanoma and suggest miR-876 loss as an additional mechanism to activate ERK and the mitogen activated protein kinase (MAPK) pathway in melanoma. In addition, they suggest the therapeutic potential of combining miR-876 overexpression with BRAF inhibition as a rational therapeutic strategy for melanoma.
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- 2024
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28. jmBIG: enhancing dynamic risk prediction and personalized medicine through joint modeling of longitudinal and survival data in big routinely collected data
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Atanu Bhattacharjee, Bhrigu Kumar Rajbongshi, and Gajendra K. Vishwakarma
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Bayesian ,Longitudinal ,Survival ,Medicine (General) ,R5-920 - Abstract
Abstract We have introduced the R package jmBIG to facilitate the analysis of large healthcare datasets and the development of predictive models. This package provides a comprehensive set of tools and functions specifically designed for the joint modelling of longitudinal and survival data in the context of big data analytics. The jmBIG package offers efficient and scalable implementations of joint modelling algorithms, allowing for integrating large-scale healthcare datasets. By utilizing the capabilities of jmBIG, researchers and analysts can effectively handle the challenges associated with big healthcare data, such as high dimensionality and complex relationships between multiple outcomes. With the support of jmBIG, analysts can seamlessly fit Bayesian joint models, generate predictions, and evaluate the performance of the models. The package incorporates cutting-edge methodologies and harnesses the computational capabilities of parallel computing to accelerate the analysis of large-scale healthcare datasets significantly. In summary, jmBIG empowers researchers to gain deeper insights into disease progression and treatment response, fostering evidence-based decision-making and paving the way for personalized healthcare interventions that can positively impact patient outcomes on a larger scale.
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- 2024
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29. Assessment of mental well-being and its socio-economic determinants among older adults in the Rohingya refugee camp of Bangladesh
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Afsana Anwar, Nahida Akter, Uday Narayan Yadav, Saruna Ghimire, Shovon Bhattacharjee, Sumaiya Zabin Eusufzai, Rashidul Alam Mahumud, A. R. M. Mehrab Ali, Md Nazmul Huda, Md Saiful Islam Majumder, Arnob Zahid, Probal Kumar Mondal, Abu Ansar Md Rizwan, Suvasish Das Shuvo, Simon Rosenbaum, and Sabuj Kanti Mistry
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Ageing ,Bangladesh ,Mental well-being ,Rohingya refugee ,Medicine ,Science - Abstract
Abstract Older adults residing in refugee settlements with unhealthy living environments, inadequate access to health care services, and limited psychosocial support are vulnerable to experience mental health problems jeopardizing their mental well-being. The present study aims to explore the mental well-being status and its socio-economic determinants among the older adults living in the Rohingya refugee camp in Bangladesh. This cross-sectional study was conducted among adults aged ≥ 60 residing in five sub-camps within the Rohingya refugee camp of Cox’s Bazar, Bangladesh. Data were collected through face-to-face interviews conducted between November and December 2021. The 14-item Warwick-Edinburgh Mental Well-being Scale was used to assess mental well-being. A cumulated score was derived using the scale ranging from 14 to 70, with higher scores indicating greater levels of mental well-being. A generalized linear regression model was used to examine the socio-economic factors associated with the mental well-being of older adults. A total of 864 older adults participated in the study having a mean mental well-being score of 45.4. Regression analysis revealed that the difference in the logs of mental well-being score was expected to be significantly lower among participants aged 70–79 years (β: − 1.661; 95% CI: − 2.750 to − 0.572; p = 0.003), aged ≥ 80 years (β: − 3.198; 95% CI: − 5.114 to − 1.282; p = 0.001), and those with any non-communicable chronic conditions (β: − 2.903; 95% CI: − 3.833 to − 1.974; p
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- 2024
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30. Determinants of Digitalization in Unorganized Localized Neighborhood Retail Outlets in India
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Biplab Bhattacharjee, Shubham Kumar, Piyush Verma, and Moinak Maiti
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digitalization ,unorganized sector ,emerging markets ,neighborhood retail stores ,TAM ,UTAUT2 ,Business ,HF5001-6182 - Abstract
The increase in digital disruptions and changing preferences of different stakeholders has led to digital adoption in all hierarchies of business ecosystem. This study focused on the identification of the determinants of digitalization in unorganized small, localized retail outlets (Kirana stores) of an emerging economy. A theoretical model was constructed with certain modifications based on technology adoption models such as Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) to study the impact on business performance in general and as an effect of pandemic. A survey of 285 Unorganized Localized Retail Outlets Stores from different regions of India was used to validate this theoretical model, and structural equation modeling was then further employed. The findings underscore that cost, compatibility, perceived ease of use, and perceived usefulness significantly affect the intention to digitalize. By addressing the post-pandemic impact of digitalization within an unorganized sector in an emerging economy, this study adds to the scant literature that exists in this context.
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- 2024
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31. Dual layer energy management model for optimal operation of a community based microgrid considering electric vehicle penetration
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Pavitra Sharma, Debjanee Bhattacharjee, Hitesh Datt Mathur, and Puneet Mishra
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Buildings ,Microgrids ,Energy management ,Solar PV system ,Battery energy storage system ,Electric vehicle ,Medicine ,Science - Abstract
Abstract This work develops a dual-layer energy management (DLEM) model for a microgrid (MG) consisting of a community, distributed energy resources (DERs), and a grid. It ensures the participation of all these energy entities of MG in the market and their interaction with each other. The first layer performs the scheduling operation of the community with the goal of minimizing its net-billing cost and sends the obtained schedule to the DER operator and grid. Further, the second layer formulates a power scheduling algorithm (PSA) to minimize the net-operating cost of DERs and takes into account the load demand requested by the community operator (COR). This PSA aims to achieve optimal operation of MG by considering solar PV power, requested demand, per unit grid energy prices, and state of charge of the battery energy storage system of the DER layer. Moreover, to study the impact of electric vehicles (EVs) load programs on DLEM, the advanced probabilistic EV load profile model is developed considering practical and uncertain events. The EV load is modelled for grid to vehicle mode, and a new mode of EV operation is introduced, i.e., vehicle to grid with EV demand response strategy (V2G_DRS) mode. The solar PV and load demand data are obtained from the MG setup installed and buildings present at the university campus. However, a scenario reduction technique is used to deal with the uncertainties of the obtained data. In order to evaluate the efficacy of the developed DLEM, its results are compared to previously reported energy management models. The results reveal that DLEM is superior to the existing models as it decreases the net-billing cost of COR by 13% and increases the profit of the DER operator by 17%. Further, it is found that for the highest EV penetration, i.e., 30 EVs, the V2G_DRS mode of EV operation reduces the total energy imported by COR by 11.39% and the net-billing cost of COR by 7.88%. Therefore, it can be concluded that the proposed model with the introduced V2G_DRS mode of EV makes the operation of all the entities of MG more economical and sustainable.
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- 2024
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32. Differential effect of an evolving amyloid and tau pathology on brain phospholipids and bioactive lipid mediators in rat models of Alzheimer-like pathology
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Sonia Do Carmo, Marie-Audrey I. Kautzmann, Surjyadipta Bhattacharjee, Bokkyoo Jun, Carolyn Steinberg, Joshua T. Emmerson, Janice C. Malcolm, Quentin Bonomo, Nicolas G. Bazan, and A. Claudio Cuello
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Alzheimer’s disease ,Amyloid pathology ,Tauopathy ,Transgenic rat ,Lipidomics ,Brain phospholipids ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract Background Brain inflammation contributes significantly to the pathophysiology of Alzheimer’s disease, and it is manifested by glial cell activation, increased production of cytokines/chemokines, and a shift in lipid mediators from a pro-homeostatic to a pro-inflammatory profile. However, whether the production of bioactive lipid mediators is affected at earlier stages, prior to the deposition of Aβ plaques and tau hyperphosphorylation, is unknown. The differential contribution of an evolving amyloid and tau pathology on the composition and abundance of membrane phospholipids and bioactive lipid mediators also remains unresolved. Methods In this study, we examined the cortical levels of DHA- and AA-derived bioactive lipid mediators and of membrane phospholipids by liquid chromatography with tandem mass spectrometry in transgenic rat models of the Alzheimer’s-like amyloid and tau pathologies at early and advanced pathological stages. Results Our findings revealed a complex balance between pro-inflammatory and pro-resolving processes in which tau pathology has a more pronounced effect compared to amyloid pathology. At stages preceding tau misfolding and aggregation, there was an increase in pro-resolving lipid mediators (RVD6 and NPD1), DHA-containing phospholipids and IFN-γ levels. However, in advanced tau pathology displaying NFT-like inclusions, neuronal death, glial activation and cognitive deficits, there was an increase in cytokine and PGD2, PGE2, and PGF2α generation accompanied by a drop in IFN-γ levels. This pathology also resulted in a marked increase in AA-containing phospholipids. In comparison, pre-plaque amyloid pathology already presented high levels of cytokines and AA-containing phospholipids together with elevated RVD6 and NPD1 levels. Finally, Aβ plaque deposition was accompanied by a modest increase in prostaglandins, increased AA-containing phospholipids and reduced DHA-containing phospholipids. Conclusions Our findings suggest a dynamic trajectory of inflammatory and lipid mediators in the evolving amyloid and tau pathologies and support their differing roles on membrane properties and, consequentially, on signal transduction.
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- 2024
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33. Alternaria alternata as emerging threat for Hoplobatrachus tigerinus and Phrynoderma hexadactylum in southern West Bengal, India
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Partha Ganguly, Swapan Kumar Ghosh, and Koutilya Bhattacharjee
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Alternaria alternata ,Amphibian decline ,Fungal disease ,Phrynoderma hexadactylum ,Hoplobatrachus tigerinus ,Zoology ,QL1-991 - Abstract
Abstract Background Amphibians are facing a global decline for the last few decades due to habitat loss, pesticide pollution, diseases and some other reasons. Fungal disease called chytridiomycosis has been emerged as one of the major causes of anuran extinction and decline in many parts of the globe. As the causal fungi Batrachochytrium dendrobatidis (Bd) were reported to have ubiquitous distribution on Earth, a survey was being conducted in districts of southern West Bengal, India, to assess probable anuran damage by the Bd in this region. A significant percentage of the common frogs Hoplobatrachus tigerinus and Phrynoderma hexadactylum were found to carry disease symptoms like redness of ventral skin, rashes, skin lesions, sluggish movements followed by death within 2 months. Results Investigation pointed the causal factor as Alternaria alternata. Liver and lungs were the primarily affected organs. Histopathology identified the presence of spores in TS of infected lungs along with hepatocellular steatosis. Elevation of serum SGPT and triglyceride (~ tenfold and ~ threefold, respectively, compared to healthy groups) was also key findings in infected individuals. Infection prevalence was highest in South 24 Parganas (more than 7%). Conclusion A common plant pathogen shifting host to anurans in a trans-kingdom way may be a significant evolutionary finding, but the infection being detrimental to two local frogs will have severe impacts. As the frogs are food web intermediates of their habitats, a collapse in local food web will be the primary ecological impact along with higher incidence of mosquito-borne diseases.
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- 2024
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34. Severe magnitude of dental and skeletal fluorosis and its impact on society and environment in a part of Manbhum-Singhbhum Plateau, India
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Arijit Ghosh, Soumyajit Patra, Sumana Bhattacharjee, and Biswajit Bera
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Dental and skeletal fluorosis ,Community Fluorosis Index (CFI) ,Dean’s Index ,Manbhum-Singhbhum Plateau ,Social consequence ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Numerous approaches have been adopted to evaluate limited freshwater resources and the associated health hazards due to excessive amounts of fluoride in drinking water. The study aims to assess the degree and severity of dental and skeletal fluorosis and examine the broader effects of fluorosis on human health and society in the Manbhum-Singhbhum Plateau region, India. Methods The Community Fluorosis Index (CFI) and Dean’s Index have been used to measure the magnitude and severity of dental and skeletal fluorosis. Questionnaire surveys, Focus Group Discussions (FGDs), and appropriate statistical methods have been applied to identify the social impacts. Risk-prone zones have been identified through overlay analysis using geoinformatics. Results About 54.60% of people in 67 villages of this part of the Manbhum-Singhbhum Plateau are affected in varying degrees of fluorosis ranging from very mild to mild, moderate, and severe dental fluorosis. Among these 67 villages, Janra (Manbazar I) and Hijla (Barabazar) have the most severely affected people. School dropout (n = 426), social isolation (n = 149), remarriage (n = 21), and physically disabled (n = 75) have also been reported. The study shows that about 414.29 km2 of the Manbhum-Singhbhum Plateau comes under the high-risk-prone category. Conclusions The societal and environmental awareness of the fluorosis-affected individuals is almost absent in this region. Economic hardships, lack of education, inadequate health care facilities, water scarcity, and lack of awareness increase the magnitude of health hazards and societal vulnerability of the people in this region, who are largely dependent on natural resources.
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- 2024
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35. A traditional fermented bamboo shoot reduces intracellular fat accumulation and promotes fat browning in differentiated 3T3‐L1 adipocyte cells through the activation of the AMPK signaling pathway
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Sagar R Barge, Anupam Bhattacharya, Arun Kumar, Sushmita Das, Tulsi Joishy, Ashis K Mukherjee, Maloyjo Joyraj Bhattacharjee, and Mojibur R Khan
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3T3‐L1 cell browning ,AMPK signaling ,fermented bamboo shoot ,metabolite profiling ,microbial diversity ,mitochondrial biogenesis ,Nutrition. Foods and food supply ,TX341-641 ,Food processing and manufacture ,TP368-456 - Abstract
Abstract Functional foods, such as fermented bamboo shoots, have a long history of consumption among the ethnic communities in northeast India. These locally fermented bamboo shoots contain a wealth of beneficial microbes and metabolites that can help combat metabolic syndromes like obesity. However, the precise effects and mechanism behind fermented bamboo shoot products and their anti‐obesity properties remain unknown. This study aims to explore the different types of fermented bamboo shoot products to determine their potential anti‐obesity effects as well as to analyze their microbial diversity and metabolite profiles. Using both culture‐dependent and culture‐independent methods, we found a high abundance of lactic acid bacteria from the Firmicutes and Proteobacteria phyla in the sample. Gas chromatography–mass spectrometry (GC–MS) based untargeted metabolite profiling detected several aroma‐active compounds, bioactive metabolites, short‐chain fatty acids, and essential amino acids in the samples. The water extract derived from a particular type of fermented bamboo shoot, Melye‐amiley, was found to significantly reduce intracellular lipid accumulation in cultured 3T3‐L1 cells. In addition, this extract increased the expression of lipolytic (hormone‐sensitive lipase, lipoprotein lipase, and adipose triglyceride lipase) and browning regulator genes (uncoupling protein [UCP1], PRDM16, and PGC1‐alpha). By activating the AMPK signaling pathway, the water extract from Melye‐amiley also upregulated thermogenic protein expression and promoted mitochondrial biogenesis and fatty acid β‐oxidation. These findings suggest that fermented bamboo shoot extract has promising anti‐obesity effects by boosting energy expenditure in white adipocytes. Future research is necessary to identify the active ingredient(s) that may lead to new therapies to treat obesity.
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- 2024
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36. Efficacy of Dexamethasone and Methylprednisolone in COVID-19 Pneumonia Patients in Kolkata, India: A Retrospective Cohort Study
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Boudhayan Bhattacharjee, Indranil Ray, Sumit Kumar Ghosh, Arunansu Talukdar, and Udas Chandra Ghosh
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co-morbidity ,coronavirus disease-2019 ,efficacy ,steroids ,Medicine - Abstract
Introduction: Since the outbreak of Coronavirus Disease 2019 (COVID-19) in China, the epidemic has rapidly spread all over the world in just a few months. Different steroids have been proven effective in treating COVID-19 pneumonia. However, comparative efficacy data between different steroids have been evaluated in a few studies from various parts of the world. To date, no study with a large number of patients has been conducted in the eastern part of India. Aim: To compare the efficacy of dexamethasone and methylprednisolone in terms of outcomes and disease progression in COVID-19 pneumonia patients. Materials and Methods: This retrospective cohort study included 377 patients with moderate and severe COVID-19 pneumonia admitted to Medical College and Hospital from May 2020 to December 2020, Kolkata, West Bengal, India. Patient records were divided into two groups based on the type of steroids administered (dexamethasone and methylprednisolone). Clinical, laboratory, treatment, and outcome data were tabulated for analysis. Demographic patterns in the two groups were compared, and efficacy was analysed in terms of hospital course (hospital stay length, type of respiratory support received) and final outcome (cured or death) in both groups. The data collected were analysed using Statistical Package for Social Sciences (SPSS) software version 29.0. Qualitative variables were expressed as counts and percentages, while quantitative variables were presented as mean±Standard Deviation (SD). Results: There were no significant differences between the two treatment groups based on demographic features (age, sex), co-morbidities (diabetes, hypertension, etc.), disease severity (hypoxia, hypotension) on admission day, and smoking status. The study showed that methylprednisolone significantly reduced the requirement for high-flow oxygen (p-value=0.002), Non Invasive Ventilation (NIV) (p-value=0.001), and invasive ventilation (p-value=0.001) compared to dexamethasone. However, there was no significant difference (p-value=0.800) in the duration of hospital stay between the methylprednisolone and dexamethasone treatment groups. Kaplan-Meier survival analysis also showed a significant survival benefit among patients who received methylprednisolone compared to dexamethasone (log-rank p-value=0.039). Conclusion: The present study concludes that in COVID-19 pneumonia, the administration of methylprednisolone leads to a significant reduction in mortality and the need for high-flow oxygen, NIV, and invasive ventilation compared to dexamethasone.
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- 2024
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37. Unlocking Cd(II) biosorption potential of Candida tropicalis XTA 1874 for sustainable wastewater treatment
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Kaustav Bhattacharyya, Neelanjan Bhattacharjee, Debrup Sen, Tapan Kumar Lai, Ananyo K. Ghosh, Ritesh Ranjan Pal, and Subhadeep Ganguly
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Cd(II) bioremediation ,Candida tropicalis XTA 1874 ,Biosorption ,Adsorption isotherm ,Desorption ,Medicine ,Science - Abstract
Abstract Cd(II) is a potentially toxic heavy metal having carcinogenic activity. It is becoming widespread in the soil and groundwater by various natural and anthropological activities. This is inviting its immediate removal. The present study is aimed at developing a Cd(II) resistant strain isolated from contaminated water body and testing its potency in biological remediation of Cd(II) from aqueous environment. The developed resistant strain was characterized by SEM, FESEM, TEM, EDAX, FT-IR, Raman Spectral, XRD and XPS analysis. The results depict considerable morphological changes had taken place on the cell surface and interaction of Cd(II) with the surface exposed functional groups along with intracellular accumulation. Molecular contribution of critical cell wall component has been evaluated. The developed resistant strain had undergone Cd(II) biosorption study by employing adsorption isotherms and kinetic modeling. Langmuir model best fitted the Cd(II) biosorption data compared to the Freundlich one. Cd(II) biosorption by the strain followed a pseudo second order kinetics. The physical parameters affecting biosorption were also optimized by employing response surface methodology using central composite design. The results depict remarkable removal capacity 75.682 ± 0.002% of Cd(II) by the developed resistant strain from contaminated aqueous medium using 500 ppm of Cd(II). Quantitatively, biosorption for Cd(II) by the newly developed resistant strain has been increased significantly (p
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- 2024
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38. PND-Net: plant nutrition deficiency and disease classification using graph convolutional network
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Asish Bera, Debotosh Bhattacharjee, and Ondrej Krejcar
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Agriculture ,Convolutional neural network ,Graph convolutional network ,Plant disease ,Nutrition deficiency ,Cancer classification ,Medicine ,Science - Abstract
Abstract Crop yield production could be enhanced for agricultural growth if various plant nutrition deficiencies, and diseases are identified and detected at early stages. Hence, continuous health monitoring of plant is very crucial for handling plant stress. The deep learning methods have proven its superior performances in the automated detection of plant diseases and nutrition deficiencies from visual symptoms in leaves. This article proposes a new deep learning method for plant nutrition deficiencies and disease classification using a graph convolutional network (GNN), added upon a base convolutional neural network (CNN). Sometimes, a global feature descriptor might fail to capture the vital region of a diseased leaf, which causes inaccurate classification of disease. To address this issue, regional feature learning is crucial for a holistic feature aggregation. In this work, region-based feature summarization at multi-scales is explored using spatial pyramidal pooling for discriminative feature representation. Furthermore, a GCN is developed to capacitate learning of finer details for classifying plant diseases and insufficiency of nutrients. The proposed method, called Plant Nutrition Deficiency and Disease Network (PND-Net), has been evaluated on two public datasets for nutrition deficiency, and two for disease classification using four backbone CNNs. The best classification performances of the proposed PND-Net are as follows: (a) 90.00% Banana and 90.54% Coffee nutrition deficiency; and (b) 96.18% Potato diseases and 84.30% on PlantDoc datasets using Xception backbone. Furthermore, additional experiments have been carried out for generalization, and the proposed method has achieved state-of-the-art performances on two public datasets, namely the Breast Cancer Histopathology Image Classification (BreakHis 40 $$\times $$ × : 95.50%, and BreakHis 100 $$\times $$ × : 96.79% accuracy) and Single cells in Pap smear images for cervical cancer classification (SIPaKMeD: 99.18% accuracy). Also, the proposed method has been evaluated using five-fold cross validation and achieved improved performances on these datasets. Clearly, the proposed PND-Net effectively boosts the performances of automated health analysis of various plants in real and intricate field environments, implying PND-Net’s aptness for agricultural growth as well as human cancer classification.
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- 2024
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39. Comparison of Antimicrobial Efficacy of Garlic, Ginger, Cardamom Oil and Chlorhexidine against Streptococcus mutans: An In-vitro Study
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Priyanka Singh, Laresh Mistry, Minakshi Bhattacharjee, VJ Kadam, Varsha M Jadhav, and Ashwin M Jawdekar
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dental caries ,early childhood caries ,herb ,mouthwash ,oil extraction ,Medicine - Abstract
Introduction: Essential herbs such as garlic, ginger, and cardamom have shown antimicrobial activity with no potential adverse effects and are cost-effective. Despite these advantages, the efficacy of these agents needs to be tested against common oral pathogenic microorganisms to ensure that if found effective, they can be used in clinical settings. Aim: To evaluate and compare the effectiveness of garlic, ginger, and cardamom oils on Streptococcus mutans (S. mutans) against chlorhexidine. Materials and Methods: An in-vitro study was conducted at Bharati Vidyapeeth Dental College and Hospital, Navi Mumbai, in the Department of Microbiology and Bharati Vidyapeeth College of Pharmacy, Navi Mumbai, Maharashtra, India from January 2023 to September 2023. Oil extracts of garlic, ginger, and cardamom were loaded onto sterile filter paper discs measuring 6 mm in diameter in concentrations of 50 μL, 100 μL, and 200 μL. Additionally, 2% chlorhexidine (control group) was loaded onto similar sterile paper discs. The discs were dried and placed aseptically on culture media plates inoculated with S. mutans, and the plates were then incubated at 37°C overnight. Subsequently, the zones of inhibition were measured in millimeters. Results: Ginger oil exhibited the highest zone of inhibition, measuring 25 mm, followed by cardamom oil and garlic oil measuring 18 mm and 12 mm, respectively, at a concentration of 200 μL. The zone of inhibition measured for 100 μL concentrations of garlic, ginger, and cardamom oils were 7 mm, 16 mm, and 13 mm, respectively. For 50 μL concentrations of the oils, the zones of inhibition for garlic, ginger, and cardamom were 0 mm, 13 mm, and 9 mm, respectively. The zone of inhibition shown by chlorhexidine was 22 mm for concentrations of 50 μL, 100 μL, and 200 μL. Conclusion: Essential oil extracts from ginger, cardamom, and garlic were found to have antimicrobial activity against S. mutans, with ginger oil showing the highest effectiveness, followed by cardamom oil and garlic oil.
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- 2024
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40. Evaluation of cardiac output in neonatal sepsis
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Angana Bhattacharjee, Saugata Chaudhuri, and Maitreyi Basu
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neonatal sepsis ,functional echocardiography ,cardiac output ,velocity time integral ,Medicine - Abstract
Background: Neonatal sepsis is a clinical syndrome characterized by signs and symptoms of infection with or without accompanying bacteremia in the 1st month of life imposing significant cardiovascular compromise which poses a huge burden of morbidity. The essential objective of functional neonatal echocardiography is to recognize features of cardiovascular compromise earlier and help in timely institution of management. This study provides an overview regarding the variability of cardiac output (CO) in neonates with culture-positive sepsis. Aims and Objectives: The aims and objectives of the study are to assess the variability of CO in term neonates with Gram-positive sepsis and Gram-negative sepsis. Materials and Methods: The observational cross-sectional study was conducted in the Department of Paediatrics for 18 months in a tertiary care center. 2D echocardiography was performed on all the neonates who came positive for sepsis screen within the first 2 days of institution of antibiotics. CO was calculated from the echocardiographic finding of Aortic Root Diameter (d), Velocity Time Integral, and Heart Rate recorded at the same time. Normal range of left ventricular output has been defined as 150–300 mL/kg/min each. Results: In Gram-negative group, the mean CO (Mean±SD) of patients was 386.4545±34.2284 mL/kg/min while in Gram-positive group, the mean CO (Mean±SD) of patients was 345.1532±37.6044 mL/kg/min and the variation stands significant at P
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- 2024
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41. Impacts of channelization of River Bala, eastern Himalayan foothills, India
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Biswajit Bera, Sumana Bhattacharjee, Nairita Sengupta, Meelan Chamling, Supriya Ghosh, and Arijit Ghosh
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Siltation ,channel avulsion ,embankment ,revetment ,Ecology ,QH540-549.5 ,Geology ,QE1-996.5 - Abstract
Hard river engineering or channelization alters channel bathymetry and river morphology and invites multiple fluvio-hydrological hazards. The linear (72 m), concrete, low height (1.6 m), multipillars (20 pillars) bridge with concrete embankments and revetments has been constructed across and along the river Bala within the Himalayan foothill zone in the year 2017. As a result, the rate of siltation has been tremendously increased at the vicinity of the pillars of the bridge. The principal objectives are (i) to establish wrongly designed hard river engineering techniques and (ii) to find out the adverse effect of Bala bridge. Results showed that the highest rate of siltation was 0.55 m at the end of the monsoon in 2017 whereas the average of rate of siltation was 0.37 m between 2010 and 2017. If the rate of siltation is greater in a particular year, there is a high probability to divert the channel course. The thalweg line has tremendously shifted towards the right bank side. If the same condition persists for a long time, in near future (during monsoon) the river will avulse nearly 200 m right side on low lying topographic depression within the rich Buxa Tiger Reserve.
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- 2024
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42. Online energy verification of linear electron accelerator: Important criteria for safety and beneficial applications
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Nishant Chaudhary, Dhruva Bhattacharjee, Ramchandra B. Chavan, Umakant M. Yerge, P. C. Saroj, and Archana Sharma
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depth dose ,dosimetry ,linear accelerator ,radiochromic films ,two-plate method ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
The electron beam (EB) energy is one of the most crucial parameters of EB treatment applications. It governs the dose distribution inside the bulk of the product treated with an energetic EB. An online monitoring and robust system is proposed for EB energy monitoring for radio frequency (RF) linear accelerator (LINAC). Attenuation method using dosimeter films is applied to reproduce the range of electron beam in aluminum. In online monitoring system, two electrically isolated aluminum plates having identical shape but different thicknesses, as per full penetration thickness of electron beam, are used. The current constituted in each plate is measured by an oscilloscope with suitable resistors, by keeping the set up under the beam. The ratio of the current signal from the front plate to the sum of the signals from both plates is very sensitive to the beam energy. Here, an electron accelerator of 10 MeV is used to incorporate this device. Sensitivity and robustness are the key factors to make this device highly suitable for desirous applications of 10 MeV LINAC and also to meet the regulatory mandates related to energy limitations for industrial utilities.
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- 2024
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43. A gluten-free button mushroom based antioxidant-rich noodles as a vehicle for in vivo delivery of L-tryptophan, serotonin and melatonin
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Dipshikha Tamili, Mainak Chakraborty, Tania Chakraborty, and Paramita Bhattacharjee
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Button mushroom ,Antioxidant-rich noodles ,L-tryptophan-serotonin-melatonin ,In vivo delivery ,Molecular nutrition ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Abstract An antioxidant-rich mushroom noodles (gluten-free) rich in L-tryptophan-serotonin-melatonin (TSM) was developed under minimal processing condition(s) without perturbing the natural antioxidant synergy. In vitro release kinetics studies in a standard dissolution apparatus confirmed substantial releases of the target biomolecules from the designer noodles in simulated salivary buffer (SSB), simulated gastric buffer (SGB), simulated intestinal buffer (SIB) and simulated rectal buffer (SRB). Post model fitting, it was evident that L-tryptophan and serotonin followed zero order release kinetics in SSB; while melatonin followed first order release kinetics in SSB and SRB, respectively. However, all the three biomolecules followed Korsmeyer’s- Peppas model kinetics in SGB and SIB; L-tryptophan and serotonin also followed the same release kinetics model in SRB. The in vivo bioavailabilities of these molecules were ascertained through feeding trials (of mushroom noodles) in male Sprague Dawley rats. An enhancement of ~ 95%, 20% and 44% of L-tryptophan, serotonin and melatonin, respectively, occurred in rat blood serum after 30 min of consumption of the designer noodles and decreased 50 min onwards. However, the natural trends of increase and decrease in serum serotonin and melatonin concentrations during different time of the day remained unaltered. These bioavailable molecules also increased insulin sensitivity in the liver and glucose uptake in the brain, as revealed by iHOMA2 prediction modelling. The findings of these investigations have the potential to inform this designer noodles to be a truly antioxidant-rich functional food product which holds promise in providing molecular nutrition, especially for populations with serotonin-melatonin deficiency.
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- 2024
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44. Probing the Dark Matter Capture Rate in a Local Population of Brown Dwarfs with IceCube Gen 2
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Pooja Bhattacharjee and Francesca Calore
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brown dwarf ,dark matter ,capture rate and self-annihilation ,neutrino ,IceCube Gen 2 ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
This study explores the potential for dark matter annihilation within brown dwarfs, investigating an unconventional mechanism for neutrino production. Motivated by the efficient accumulation of dark matter particles in brown dwarfs through scattering interactions, we focus on a mass range above 10 GeV, considering dark matter annihilation channels χχ→νν¯νν¯ through long-lived mediators. Using the projected sensitivity of IceCube Generation 2, we assess the detection capability of the local population of brown dwarfs within 20 pc and exclude dark matter-nucleon scattering with cross-sections as low as a few multiples of 10−36cm2.
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- 2024
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45. Exploring the genetics of lithium response in bipolar disorders
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Marisol Herrera-Rivero, Mazda Adli, Kazufumi Akiyama, Nirmala Akula, Azmeraw T. Amare, Raffaella Ardau, Bárbara Arias, Jean-Michel Aubry, Lena Backlund, Frank Bellivier, Antonio Benabarre, Susanne Bengesser, Abesh Kumar Bhattacharjee, Joanna M. Biernacka, Armin Birner, Micah Cearns, Pablo Cervantes, Hsi-Chung Chen, Caterina Chillotti, Sven Cichon, Scott R. Clark, Francesc Colom, Cristiana Cruceanu, Piotr M. Czerski, Nina Dalkner, Franziska Degenhardt, Maria Del Zompo, J. Raymond DePaulo, Bruno Etain, Peter Falkai, Ewa Ferensztajn-Rochowiak, Andreas J. Forstner, Josef Frank, Louise Frisén, Mark A. Frye, Janice M. Fullerton, Carla Gallo, Sébastien Gard, Julie S. Garnham, Fernando S. Goes, Maria Grigoroiu-Serbanescu, Paul Grof, Ryota Hashimoto, Roland Hasler, Joanna Hauser, Urs Heilbronner, Stefan Herms, Per Hoffmann, Liping Hou, Yi-Hsiang Hsu, Stephane Jamain, Esther Jiménez, Jean-Pierre Kahn, Layla Kassem, Tadafumi Kato, John Kelsoe, Sarah Kittel-Schneider, Po-Hsiu Kuo, Ichiro Kusumi, Barbara König, Gonzalo Laje, Mikael Landén, Catharina Lavebratt, Marion Leboyer, Susan G. Leckband, Mario Maj, Mirko Manchia, Cynthia Marie-Claire, Lina Martinsson, Michael J. McCarthy, Susan L. McElroy, Vincent Millischer, Marina Mitjans, Francis M. Mondimore, Palmiero Monteleone, Caroline M. Nievergelt, Tomas Novák, Markus M. Nöthen, Claire O’Donovan, Norio Ozaki, Sergi Papiol, Andrea Pfennig, Claudia Pisanu, James B. Potash, Andreas Reif, Eva Reininghaus, Hélène Richard-Lepouriel, Gloria Roberts, Guy A. Rouleau, Janusz K. Rybakowski, Martin Schalling, Peter R. Schofield, Klaus Oliver Schubert, Eva C. Schulte, Barbara W. Schweizer, Giovanni Severino, Tatyana Shekhtman, Paul D. Shilling, Katzutaka Shimoda, Christian Simhandl, Claire M. Slaney, Alessio Squassina, Thomas Stamm, Pavla Stopkova, Fabian Streit, Fasil Tekola-Ayele, Anbupalam Thalamuthu, Alfonso Tortorella, Gustavo Turecki, Julia Veeh, Eduard Vieta, Biju Viswanath, Stephanie H. Witt, Peter P. Zandi, Martin Alda, Michael Bauer, Francis J. McMahon, Philip B. Mitchell, Marcella Rietschel, Thomas G. Schulze, and Bernhard T. Baune
- Subjects
Bipolar disorder ,Lithium treatment ,Psychiatric symptoms ,Comorbidity ,Genetics ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurophysiology and neuropsychology ,QP351-495 - Abstract
Abstract Background Lithium (Li) remains the treatment of choice for bipolar disorders (BP). Its mood-stabilizing effects help reduce the long-term burden of mania, depression and suicide risk in patients with BP. It also has been shown to have beneficial effects on disease-associated conditions, including sleep and cardiovascular disorders. However, the individual responses to Li treatment vary within and between diagnostic subtypes of BP (e.g. BP-I and BP-II) according to the clinical presentation. Moreover, long-term Li treatment has been linked to adverse side-effects that are a cause of concern and non-adherence, including the risk of developing chronic medical conditions such as thyroid and renal disease. In recent years, studies by the Consortium on Lithium Genetics (ConLiGen) have uncovered a number of genetic factors that contribute to the variability in Li treatment response in patients with BP. Here, we leveraged the ConLiGen cohort (N = 2064) to investigate the genetic basis of Li effects in BP. For this, we studied how Li response and linked genes associate with the psychiatric symptoms and polygenic load for medical comorbidities, placing particular emphasis on identifying differences between BP-I and BP-II. Results We found that clinical response to Li treatment, measured with the Alda scale, was associated with a diminished burden of mania, depression, substance and alcohol abuse, psychosis and suicidal ideation in patients with BP-I and, in patients with BP-II, of depression only. Our genetic analyses showed that a stronger clinical response to Li was modestly related to lower polygenic load for diabetes and hypertension in BP-I but not BP-II. Moreover, our results suggested that a number of genes that have been previously linked to Li response variability in BP differentially relate to the psychiatric symptomatology, particularly to the numbers of manic and depressive episodes, and to the polygenic load for comorbid conditions, including diabetes, hypertension and hypothyroidism. Conclusions Taken together, our findings suggest that the effects of Li on symptomatology and comorbidity in BP are partially modulated by common genetic factors, with differential effects between BP-I and BP-II.
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- 2024
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46. Development of a novel self-healing Zn(II)-metallohydrogel with wide bandgap semiconducting properties for non-volatile memory device application
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Arpita Roy, Subhendu Dhibar, Kripasindhu Karmakar, Subham Bhattacharjee, Bidyut Saha, and Soumya Jyoti Ray
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Zn(II)-metallohydrogel ,LMWG ,Self-healing ,Injectable property ,Microstructure ,Semiconducting device ,Medicine ,Science - Abstract
Abstract A rapid and effective strategy has been devised for the swift development of a Zn(II)-ion-based supramolecular metallohydrogel, termed Zn@PEH, using pentaethylenehexamine as a low molecular weight gelator. This process occurs in an aqueous medium at room temperature and atmospheric pressure. The mechanical strength of the synthesized Zn@PEH metallohydrogel has been assessed through rheological analysis, considering angular frequency and oscillator stress dependencies. Notably, the Zn@PEH metallohydrogel exhibits exceptional self-healing abilities and can bear substantial loads, which have been characterized through thixotropic analysis. Additionally, this metallohydrogel displays injectable properties. The structural arrangement resembling pebbles within the hierarchical network of the supramolecular Zn@PEH metallohydrogel has been explored using FESEM and TEM measurements. EDX elemental mapping has confirmed the primary chemical constituents of the metallohydrogel. The formation mechanism of the metallohydrogel has been analyzed via FT-IR spectroscopy. Furthermore, zinc(II) metallohydrogel (Zn@PEH)-based Schottky diode structure has been fabricated in a lateral metal–semiconductor-metal configuration and it’s charge transport behavior has also been studied. Notably, the zinc(II) metallohydrogel-based resistive random access memory (RRAM) device (Zn@PEH) demonstrates bipolar resistive switching behavior at room temperature. This RRAM device showcases remarkable switching endurance over 1000 consecutive cycles and a high ON/OFF ratio of approximately 270. Further, 2 × 2 crossbar array of the RRAM devices were designed to demonstrate OR and NOT logic circuit operations, which can be extended for performing higher order computing operations. These structures hold promise for applications in non-volatile memory design, neuromorphic and in-memory computing, flexible electronics, and optoelectronic devices due to their straightforward fabrication process, robust resistive switching behavior, and overall system stability.
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- 2024
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47. Sigma metrics application in clinical biochemistry: Practical requisite or unfeasible misadventure
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Debojyoti Bhattacharjee, Bithika Ghosh, Arghya Ray Chaudhuri, Sebanti Chakrabarty, Sourav Naskar, and Kheya Mukherjee
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external quality control ,internal quality control ,national accreditation board for testing and calibration laboratories ,quality management ,quality goal index ,six sigma ,Medicine - Abstract
Background: The application of the Six Sigma (σ) metric in biochemical laboratories is a powerful tool for reducing the occurrence of errors and prioritizing important improvements in laboratory quality control. The National Accreditation Board for Testing and Calibration Laboratories (NABL) is an accreditation body with an accreditation system established in accordance with ISO/IEC 17011, providing specialty- or scope-based certification based on the conformance of quality indices to medical laboratories. In this context, a study has been designed that considers the quality guidelines set by NABL as well as the sigma metric rule in the assessment of analytical performance. Aims and Objectives: The aims of this study were to identify the gaps and need for strategy modification for quality improvement by assessing the performance of two NABL-accredited medical testing laboratories on a Sigma metric scale. Materials and Methods: A retrospective analytical study was conducted over 6 months (January–June 2021). Internal quality control (IQC) and EQAS data were obtained from third-party QC providers (Bio-Rad, India) and analyzed by calculating sigma (σ) values based on the coefficient of variation, bias, and total error allowable in two NABL-accredited medical testing laboratories. To identify potential problems for analytes with poor sigma values, a quality goal index (QGI) analysis was performed. Results: By analyzing the sigma values obtained by both NABL-accredited laboratories, we can see that laboratory 2 performed better than laboratory 1. After calculating the QGI, there was a problem of inaccuracy and imprecision in laboratory 1, and laboratory 2 had QGI values that indicated only imprecision. Conclusion: Diagnostic laboratories should incorporate Six Sigma metrics to identify gaps in their performance to ensure better quality control and patient safety.
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- 2024
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48. Effectiveness of a blended viva format in cardiovascular physiology for first-year MBBS students: An initial report
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Krishnan Srinivasan, Sundareswaran Loganathan, Abhishek Sinha, Naveen Puttaraju, Anindita Mahanta, and Manasi Bhattacharjee
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osve ,blended format ,traditional viva ,cardiovascular physiology ,Education ,Medicine (General) ,R5-920 - Abstract
Background & Objective: Oral examinations or viva is a common mode of assessment for medical students. It is not possible to cover the entire syllabus and students often feel that the “luck factor” plays a major role in deciding their performance. Efforts have been made to address these shortcomings associated with traditional viva exams, mainly by attempting to formulate a format which is both objective as well as structured. With this background, aim of the present study was to create an objective structured viva questions in cardiovascular physiology as a prototype of viva voce in physiology. Materials & Methods: The study included creation of an Objective Structured Viva Examination (OSVE) question bank in cardiovascular physiology. The first year medical (MBBS) students were randomized by use of random number table and attended all three formats of theory viva (OSVE, traditional & blended) on designated dates and time slots. Feedback was obtained from the participants using standard format and the feedback from faculty involved in the study was collected in a qualitative format at the end of the assessment. Results: There was significant difference in the mean value of marks obtained by the students in the OSVE format when compared to traditional and blended format (p < 0.05). No correlation was observed between marks scored between the three formats of viva. Student’s feedback revealed that OSVE format was well structured and easy to score marks when compared to other formats. Faculty feedback revealed that OSVE format was less time consuming as compared to the other formats. Conclusion: Since there was no correlation between performance of students in the three formats of viva, each type of viva format can be used as a separate assessment tool for the students. Further studies of this kind can help to reorganize the viva assessment and also can give a platform for innovation of newer assessment method in medical education which can be extrapolated to other streams.
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- 2024
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49. Severity of respiratory illness among Covid-19-vaccinated and non-vaccinated admitted patients—An observational study from a teaching hospital of Tripura
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Vaskar Majumder, Chirasree Choudhury, Bidhan Goswami, Shauli Sengupta, and Bhaskar Bhattacharjee
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covid-19 ,respiratory illness ,treatment outcomes ,vaccine ,Medicine - Abstract
Objective: To determine the association between vaccination status and mortality among critically ill patients admitted in a dedicated Covid hospital of Tripura who required invasive mechanical ventilation. Material and Methods: This study was conducted at a dedicated Covid hospital of Tripura for a period of six months, i.e., from June 2021 to November 2021. A total of 304 patients were enrolled for this study. Baseline epidemiological, radiological data along with other information like heart rate, pulse rate, oxygen saturation (SpO2), etc., were collected through patient record sheet in all cases during hospitalization. Statistical analysis was done by using SPSS 25 version. Results: Admission and mortality rates in hospital and advanced oxygen support like bi-level positive airway pressure (BiPAP), high-flow nasal cannula (HFNOC), and ventilator use incidences were higher in non-vaccinated patients (17.1%) in comparison to double-dose-vaccinated (0.98%) and single-dose (2.3%)-vaccinated patients. Conclusion: This retrospective data analysis of Covid-19 positive patients admitted in the dedicated Covid Hospital of Tripura suggests that severe infection, need for invasive and non-invasive ventilation, and death were significantly less in the vaccinated patients as compared to the vaccine-naive one.
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- 2024
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50. Agricultural land suitability analysis in Manipur, India using GIS and AHP
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Letminthang Baite, Niranjan Bhattacharjee, Jimmi Debbarma, and Anup Saikia
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Geography. Anthropology. Recreation ,Demography. Population. Vital events ,HB848-3697 - Abstract
This article aims to identify potential sites for agricultural use in the state of Manipur of north east India by employing the analytic hierarchy process in a geographic information system environment in conjunction with the use of remote sensing and soil data. Within the analytic hierarchy process, each terrain variable underwent a pairwise comparison and criteria weights were assigned according to their relative importance. Eight variables were selected and used in land suitability analysis for agriculture. It was found that Manipur had 57% (12,660 km2) of its total geographical area suitable for agriculture. However, 8126 km2 (37%) and 1374 km2 (6%) of the total geographical area was currently and permanently unsuitable land respectively. The distribution of suitable land varied greatly, with highly, moderately and marginally suitable land covering only 8%, 16% and 33% respectively of the total geographical area. The highly suitable agricultural land is predominantly concentrated in the Imphal valley (70%), though 90% of moderately suitable and 96% of marginally suitable land also exist in the hills. The hilly areas constitute 96% and 97% respectively of currently unsuitable and permanently unsuitable land in the state. Suitable land comprises of land with low to medium altitude, gentle to moderate slopes, soil of fine or acceptable quality, and with minimal flood risk. Unsuitable lands tend to be diametrically opposite to these attributes with steep hill slopes. The nature of distribution of land suitability types influences the agricultural pattern in Manipur. Agriculture in the hill areas comprises mainly of shifting cultivation on hill slopes, whereas in the valley region it is irrigated and permanent. This analysis of Manipur has a wider applicability since the shifting cultivation-irrigated agriculture combination is similar to that which exists across much of the highlands of South East Asia.
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- 2024
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