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1. Upscaling ecological restoration by integrating with agriculture

Author: Brancalion, Pedro HS, Brancalion, Pedro HS, Holl, Karen D, Brancalion, Pedro HS, Brancalion, Pedro HS, and Holl, Karen D
Abstract: Transformative change is needed to align common small‐scale ecological restoration approaches with expectations to restore millions of hectares of degraded lands globally. Currently, most restoration projects target small areas using costly manual methods that cannot be scaled up to meet global commitments. We propose that a judicious integration of agricultural practices into ecological restoration offers an opportunity to address this issue. This transformative process relies on three sequential and interconnected steps: (1) ensure that sufficient land is truly available for restoration; (2) compensate for the loss of agricultural production, income, or land value to encourage landholders to opt for restoration; and (3) develop scalable, affordable, and effective methods for restoring native ecosystems across the pledged hundreds of millions of hectares to deliver benefits to both nature and people. Large‐scale terrestrial restoration will require incorporating agronomic practices into the restoration toolbox to go beyond vague, ambitious promises and wishful thinking.
Published: 2024

2. Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021

Author: Vollset, SE, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbastabar, H, Abd Al Magied, AHA, Abd ElHafeez, S, Abdelkader, A, Abdelmasseh, M, Abd-Elsalam, S, Abdi, P, Abdollahi, M, Abdoun, M, Abdullahi, A, Abebe, M, Abiodun, O, Aboagye, RG, Abolhassani, H, Abouzid, M, Aboye, GB, Abreu, LG, Absalan, A, Abualruz, H, Abubakar, B, Abukhadijah, HJJ, Addolorato, G, Adekanmbi, V, Adetunji, CO, Adetunji, JB, Adeyeoluwa, TE, Adha, R, Adhikary, RK, Adnani, QES, Adzigbli, LA, Afrashteh, F, Afzal, MS, Afzal, S, Agbozo, F, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahlstrom, AJ, Ahmad, A, Ahmad, F, Ahmad, MM, Ahmad, S, Ahmed, A, Ahmed, H, Ahmed, S, Ahmed, SA, Akinosoglou, K, Akkaif, MA, Akrami, AE, Akter, E, Al Awaidy, S, Al Hasan, SM, Al Mosa, AS, Al Ta'ani, O, Al Zaabi, OAM, Alahdab, F, Alajlani, MM, Al-Ajlouni, Y, Alalalmeh, SO, Al-Aly, Z, Alam, K, Alam, N, Alam, T, Alam, Z, Al-Amer, RM, Alanezi, FM, Alanzi, TM, Albakri, A, Aldhaleei, WA, Aldridge, RW, Alemohammad, SY, Alemu, YM, Al-Gheethi, AAS, Al-Hanawi, MK, Ali, A, Ali, I, Ali, MU, Ali, R, Ali, SSS, Ali, VE, Ali, W, Al-Ibraheem, A, Alicandro, G, Alif, SM, Aljunid, SM, Alla, F, Almazan, JU, Al-Mekhlafi, HM, Alqutaibi, AY, Alrawashdeh, A, Alrousan, SM, Al-Sabah, SK, Alsabri, MA, Altaany, Z, Al-Tammemi, AB, Al-Tawfiq, JA, Altirkawi, KA, Aluh, DO, Alvis-Guzman, N, Al-Wardat, MS, Al-Worafi, YM, Aly, H, Alyahya, MS, Alzoubi, KH, Al-Zyoud, W, Amani, R, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, MH, Amu, H, Amugsi, DA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Andrei, T, Andrews, EA, Anil, A, Anil, S, Anoushiravani, A, Antony, CM, Antriyandarti, E, Anuoluwa, BS, Anvari, S, Anyasodor, AE, Appiah, F, Aquilano, M, Arab, JP, Arabloo, J, Arafa, EA, Arafat, M, Aravkin, AY, Ardekani, A, Areda, D, Aregawi, BB, Aremu, A, Ariffin, H, Arkew, M, Armani, K, Artamonov, AA, Arumugam, A, Asghari-Jafarabadi, M, Ashbaugh, C, Astell-Burt, T, Athari, SS, Atorkey, P, Atout, MMW, Aujayeb, A, Ausloos, M, Awad, H, Awotidebe, AW, Ayatollahi, H, Ayuso-Mateos, JL, Azadnajafabad, S, Azeez, FK, Azevedo, RMS, Badar, M, Baghdadi, S, Bagheri, M, Bagheri, N, Bai, R, Baker, JL, Bako, AT, Balakrishnan, S, Balcha, WF, Baltatu, OC, Barchitta, M, Bardideh, E, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Barteit, S, Basiru, A, Basso, JD, Bastan, M-M, Basu, S, Bauckneht, M, Baune, BT, Bayati, M, Bayileyegn, NS, Behnoush, AH, Behzadi, P, Beiranvand, M, Bello, OO, Belo, L, Beloukas, A, Bemanalizadeh, M, Bensenor, IM, Benzian, H, Beran, A, Berezvai, Z, Bernstein, RS, Bettencourt, PJG, Beyene, KA, Beyene, MG, Bhagat, DS, Bhagavathula, AS, Bhala, N, Bhandari, D, Bharadwaj, R, Bhardwaj, N, Bhardwaj, P, Bhargava, A, Bhaskar, S, Bhat, V, Bhattacharjee, NV, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhuiyan, MA, Bisignano, C, Biswas, B, Bjorge, T, Bodolica, V, Bodunrin, AO, Hashemi, MB, Basara, BB, Borhany, H, Bosoka, SA, Carvajal, AB, Bouaoud, S, Boufous, S, Boxe, C, Boyko, EJ, Brady, OJ, Braithwaite, D, Brauer, M, Brazo-Sayavera, J, Brenner, H, Brown, CS, Browne, AJ, Brugha, T, Bryazka, D, Bulamu, NB, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Bustanji, Y, Butt, ZA, dos Santos, FLC, Barsbay, MC, Calina, D, Campos, LA, Cao, S, Capodici, A, Cardenas, R, Carreras, G, Carugno, A, Carvalho, M, Castaldelli-Maia, JM, Castelpietra, G, Cattaruzza, MS, Caye, A, Cegolon, L, Cembranel, F, Cenko, E, Cerin, E, Chadban, SJ, Chadwick, J, Chakraborty, C, Chakraborty, S, Chalek, J, Chan, JSK, Chandika, RM, Chandy, S, Charan, J, Chaudhary, AA, Chaurasia, A, Chen, A-T, Chen, H, Chen, MX, Chen, S, Cherbuin, N, Chi, G, Chichagi, F, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, DY, Cho, WCS, Choi, D-W, Chong, B, Chong, CL, Chopra, H, Chu, D-T, Chung, E, Chutiyami, M, Clayton, JT, Cogen, RM, Cohen, AJ, Columbus, A, Comfort, H, Conde, J, Connolly, JT, Cooper, EEK, Cortese, S, Cruz-Martins, N, da Silva, AG, Dadras, O, Dai, X, Dai, Z, Dalton, BE, Damiani, G, Dandona, L, Dandona, R, Das, JK, Das, S, Dash, NR, Davletov, K, De la Hoz, FP, De Leo, D, Debopadhaya, S, Delgado-Enciso, I, Denova-Gutierrez, E, Dervenis, N, Desai, HD, Devanbu, VGC, Dewan, SMR, Dhama, K, Dhane, AS, Dhingra, S, da Silva, DD, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Ding, DD, Do, THP, Do Prado, CB, Dodangeh, M, Doegah, PT, Dohare, S, Dong, W, D'Oria, M, Doshi, R, Dowou, RK, Dsouza, HL, Dsouza, V, Dube, J, Dumith, SC, Duncan, BB, Duraes, AR, Duraisamy, S, Durojaiye, OC, Dushpanova, A, Dutta, S, Dzianach, PA, Dziedzic, AM, Eboreime, E, Ebrahimi, A, Kalan, ME, Edinur, HA, Efendi, F, Eikemo, TA, Eini, E, Ekundayo, TC, El Arab, RA, El Sayed, I, Elamin, O, Elemam, NM, ElGohary, GMT, Elhadi, M, Elmeligy, OAA, Elmoselhi, AB, Elshaer, M, Elsohaby, I, Eltahir, ME, Emeto, TI, Eshrati, B, Eslami, M, Esmaeili, Z, Fabin, N, Fagbamigbe, AF, Fagbule, OF, Falzone, L, Fareed, M, Farinha, CSES, Faris, MEM, Faro, A, Fasihi, K, Fatehizadeh, A, Fauk, NK, Fazylov, T, Feigin, VL, Fekadu, G, Feng, X, Fereshtehnejad, S-M, Ferrara, P, Ferreira, N, Firew, BS, Fischer, F, Fitriana, I, Flavel, J, Flor, LS, Folayan, MO, Foley, KM, Fonzo, M, Force, LM, Foschi, M, Freitas, A, Fridayani, NKY, Fukutaki, KG, Furtado, JM, Fux, B, Gaal, PA, Gadanya, MA, Gallus, S, Ganesan, B, Ganiyani, MA, Gautam, RK, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Getacher, L, Getahun, GKA, Gething, PW, Ghadimi, DJ, Ghadirian, F, Ghafarian, S, Ghailan, KY, Ghasemi, M, Dabaghi, GG, Ghazy, RM, Ghoba, S, Gholami, E, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Vajargah, PG, Ghotbi, E, Gil, AU, Gill, TK, Girmay, A, Glasbey, JC, Glushkova, EV, Gnedovskaya, EV, Gobolos, L, Goldust, M, Goleij, P, Golinelli, D, Gopalani, SV, Goulart, AC, Gouravani, M, Goyal, A, Grivna, M, Grosso, G, Guarducci, G, Gubari, MIM, Guicciardi, S, Guimaraes, RA, Gulati, S, Gulisashvili, D, Gunawardane, DA, Guo, C, Gupta, AK, Gupta, R, Gupta, S, Gupta, VK, Haakenstad, A, Hadi, NR, Haep, N, Hafiz, A, Haghmorad, D, Haile, D, Ali, AH, Ali, HA, Haj-Mirzaian, A, Halboub, ES, Haller, S, Halwani, R, Abdullah, KH, Hamdy, NM, Hamoudi, R, Hanifi, N, Hankey, GJ, Haq, ZA, Haque, MR, Harapan, H, Hargono, A, Haro, JM, Hasaballah, AI, Hasan, SMM, Hasanian, M, Hasnain, MS, Hassan, A, Haubold, J, Hay, SI, Hebert, JJ, Hegazi, OE, Heidari, M, Hemmati, M, Henson, CA, Herrera-Serna, BY, Herteliu, C, Heydari, M, Hezam, K, Hidayana, I, Hiraike, Y, Hoan, NQ, Holla, R, Hoogar, P, Horita, N, Hossain, MM, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, C, Huang, J, Hultstrom, M, Hundie, TG, Hunt, AJ, Hushmandi, K, Hussain, J, Hussain, MA, Hussein, NR, Huynh, H-H, Hwang, B-F, Ibitoye, SE, Iftikhar, PM, Ikiroma, AI, Ikwegbue, PC, Ilic, IM, Ilic, MD, Immurana, M, Isa, MA, Islam, MR, Islam, SMS, Ismail, F, Ismail, NE, Isola, G, Iwagami, M, Iyamu, IO, Jacob, L, Jacobsen, KH, Jafarinia, M, Jahankhani, K, Jahanmehr, N, Jain, N, Jairoun, AA, Mani, DRJ, Jamil, S, Jamora, RDG, Jatau, AI, Javadov, S, Javaheri, T, Jayaram, S, Jee, SH, Jeganathan, J, Jiang, H, Jokar, M, Jonas, JB, Joseph, N, Joshua, CE, Jurisson, M, Vaishali, K, Kabir, A, Kabir, Z, Kadashetti, V, Kalankesh, LR, Kalra, S, Kamath, A, Kamath, R, Kamireddy, A, Kanaan, M, Kanchan, T, Kanmiki, EW, Kanmodi, KK, Kansal, SK, Karim, A, Karkhah, S, Kashoo, FZ, Kasraei, H, Kassel, MB, Katikireddi, SV, Kauppila, JH, Kaur, H, Kayode, GA, Kazemi, F, Kazemian, S, Kebede, F, Kendal, ES, Kesse-Guyot, E, Khademvatan, S, Khajuria, H, Khalaji, A, Khalid, A, Khalid, N, Khalilian, A, Khamesipour, F, Khan, F, Khan, MJ, Khan, MAB, Khanmohammadi, S, Khatab, K, Khatatbeh, H, Khatatbeh, MM, Khatib, MN, Kashani, HRK, Kheirallah, KA, Khokhar, M, Khormali, M, Khorrami, Z, Khosla, AA, Khosravi, M, Khosrowjerdi, M, Khubchandani, J, Kifle, ZD, Kim, G, Kim, JS, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Knibbs, LD, Knudsen, AKS, Kochhar, S, Kolahi, A-A, Kompani, F, Koren, G, Korzh, O, Krishan, K, Krishna, V, Krishnamoorthy, V, Bicer, BK, Kuddus, MA, Kuddus, M, Kuitunen, I, Kujan, O, Kulimbet, M, Kulkarni, V, Kumar, GA, Kumar, H, Kumar, N, Kumar, R, Kumar, V, Kundu, A, Kusuma, D, Kyei-Arthur, F, Kyto, V, Kyu, HH, La Vecchia, C, Lacey, B, Ladan, MA, Laflamme, L, Lahariya, C, Lai, DTC, Lalloo, R, Lallukka, T, Lam, J, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Langguth, B, Lansingh, VC, Laplante-Levesque, A, Larijani, B, Larsson, AO, Lasrado, S, Lauriola, P, Lawlor, HR, Le, H-H, Le, LKD, Le, NHH, Le, TTT, Le, TDT, Leasher, JL, Lee, DW, Lee, M, Lee, PH, Lee, S-W, Lee, SW, Lee, SWH, Lee, YH, Leigh, J, Leong, E, Li, M-C, Libra, M, Ligade, VS, Lim, L-L, Lim, SS, Limenh, LW, Lindholm, D, Lindstedt, PA, Listl, S, Liu, G, Liu, S, Liu, X, Llanaj, E, Lopez-Bueno, R, Lopez-Gil, JF, Loreche, AM, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Luo, L, Lusk, JB, Lv, L, Amin, HIM, Ma, ZF, Maass, KL, Machairas, N, Machoy, M, Madureira-Carvalho, AM, Abd El Razek, HM, Maghazachi, AA, Prasad, DRM, Mahalleh, M, Mahasha, PW, Mahmoud, MA, Mahmoudi, E, Mahmoudvand, G, Makama, M, Rad, EM, Malhotra, K, Malik, AA, Malta, DC, Manla, Y, Mansour, A, Mansouri, MH, Mansouri, P, Mansouri, V, Mansourian, M, Mansournia, MA, Marasini, BP, Marateb, HR, Maravilla, JC, Mardi, P, Marjani, A, Moghadam, HM, Arnedo, CAM, Martinez, G, Martinez-Piedra, R, Martins-Melo, FR, Martorell, M, Marx, W, Marzo, RR, Masoudi, S, Mathangasinghe, Y, Mathioudakis, AG, Mathur, M, Mathur, N, Matozinhos, FP, Mattumpuram, J, Maude, RJ, Maugeri, A, Mayeli, M, Mazidi, M, Mazzotti, A, McGrath, JJ, Mckee, M, McKowen, ALW, McPhail, MA, McPhail, SM, Mehmood, A, Mehrabani-Zeinabad, K, Mehravar, S, Meto, TM, Melese, EB, Mendez-Lopez, MAM, Mendoza, W, Menezes, RG, Mensah, GA, Mensah, LG, Mentis, A-FA, Meo, SA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mestrovic, T, Mettananda, KCD, Mettananda, S, Mhlanga, A, Mhlanga, L, Miazgowski, T, Michalek, IM, de Sa, ACMGN, Miller, TR, Minh, LHN, Mirahmadi, A, Mirijello, A, Mirrakhimov, EM, Mirzaei, R, Mitchell, PB, Mittal, C, Moberg, ME, Fard, AM, Mohajelin, S, Mohamadkhani, A, Mohamed, AI, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammad, AM, Mohammadi, S, Mohammed, H, Mohammed, M, Mohammed, S, Mokdad, AH, Molokhia, M, Momani, SM, Momtazmanesh, S, Monasta, L, Mondello, S, Moni, MA, Montazeri, F, Ghalibaf, AM, Moradi, M, Moradi, Y, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Mosapour, A, Mosser, JF, Mossialos, E, Motappa, R, Mougin, V, Mousavi, P, Mrejen, M, Mubarik, S, Mueller, UO, Mulita, F, Munjal, K, Murillo-Zamora, E, Musallam, KM, Musina, A-M, Mustafa, G, Myung, W, Nafei, A, Nagarajan, AJ, Naghavi, P, Naik, GR, Naik, G, Nainu, F, Najdaghi, S, Ansari, NN, Nangia, V, Swamy, SN, Nargus, S, Davani, DN, Nascimento, BR, Nascimento, GG, Naser, AY, Nashwan, AJ, Natto, ZS, Nauman, J, Navaratna, SNK, Naveed, M, Nawsherwan, Nayak, BP, Nayak, VC, Negash, H, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nejjari, C, Nematollahi, S, Netsere, HB, Ng, M, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, AH, Nguyen, DH, Nguyen, HTH, Nguyen, N, Nguyen, NNY, Nguyen, PT, Nguyen, QP, Nguyen, VT, Minh, DNT, Niazi, RK, Nigatu, YT, Niknam, M, Nikoobar, A, Nikpoor, AR, Nikravangolsefid, N, Noman, EA, Nomura, S, Noor, STA, Noroozi, N, Nouri, M, Nozari, M, Nri-Ezedi, CA, Ntaios, G, Nunemo, MH, Nurrika, D, Nutor, JJ, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Obamiro, KO, Odetokun, IA, Oduro, MS, Ogundijo, OA, Ogunfowokan, AA, Ogunkoya, A, Oguntade, AS, Oh, I-H, Ojo-Akosile, TR, Okati-Aliabad, H, Okekunle, AP, Okonji, OC, Olagunju, AT, Olatubi, MI, Oliveira, GMM, Olusanya, BO, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omer, GL, Ong, S, Onie, S, Onwujekwe, OE, Opejin, AO, Ordak, M, Orish, VN, Ortiz, A, Ortiz-Prado, E, Osman, WMS, Ostojic, SM, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, SS, Ouyahia, A, Owolabi, MO, Oyeyemi, OT, Ozair, A, Padukudru, MPA, Padron-Monedero, A, Padubidri, JR, Pal, PK, Palicz, T, Pan, F, Pan, H-F, Panda-Jonas, S, Pandey, A, Pando-Robles, V, Pangaribuan, HU, Panos, GD, Panos, LD, Pantazopoulos, I, Stoian, AMP, Parikh, RR, Park, E-K, Park, S, Parsons, N, Parthasarathi, A, Pasovic, M, Passera, R, Patel, J, Pathan, AR, Patil, S, Patoulias, D, Pawar, S, Toroudi, HP, Pease, SA, Peden, AE, Pedersini, P, Pensato, U, Pepito, VCF, Peprah, P, Pereira, M, Pereira, MO, Perianayagam, A, Perico, N, Perna, S, Pesudovs, K, Petermann-Rocha, FE, Pham, HT, Philip, AK, Phillips, MR, Pigeolet, M, Piradov, MA, Pisoni, E, Plotnikov, E, Poddighe, D, Polibin, RV, Poluru, R, Ponkilainen, VT, Popovic, DS, Postma, MJ, Pour-Rashidi, A, Prabhu, D, Prada, SI, Pradhan, J, Pradhan, PMS, Prashant, A, Prates, EJS, Priscilla, T, Purnobasuki, H, Purohit, BM, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Rad, MR, Radhakrishnan, V, Shahraki, HR, Rafferty, Q, Raggi, A, Raggi, C, Raheem, N, Rahim, F, Rahim, MJ, Rahimibarghani, S, Rahman, MMMR, Rahman, M, Rahman, MA, Rahman, T, Rahmani, AM, Rahmanian, M, Rahmanian, N, Rahmati, R, Rahmawaty, S, Raimondo, D, Raja, A, Rajput, P, Ramadan, M, Ramasamy, SK, Ramazanu, 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F, Santric-Milicevic, MM, Jose, BPS, Saraswathy, SYI, Saravanan, A, Sarmiento-Suarez, R, Sarode, GS, Sarode, SC, Sartorius, B, Satpathy, M, Sayeed, A, Scarmeas, N, Schaarschmidt, BM, Schinckus, C, Schuermans, A, Schumacher, AE, Schutte, AE, Schwebel, DC, Schwendicke, F, Selvaraj, S, Semreen, MH, Senapati, S, Sengupta, P, Senthilkumaran, S, Serban, D, Sethi, Y, Seylani, A, Shafie, M, Shah, PA, Shahbandi, A, Shahid, S, Shahid, W, Shahsavari, HR, Shahwan, MJ, Shaikh, MA, Shalash, AS, Shamekh, A, Shamim, MA, Shanawaz, M, Shankar, A, Shannawaz, M, Sharath, M, Sharfaei, S, Sharifan, A, Sharifi-Rad, J, Sharma, A, Sharma, M, Sharma, S, Sharma, V, Shastry, RP, Shayan, M, Shekhar, S, Shenoy, RR, Shetty, M, Shetty, PH, Shetty, PK, Shi, P, Shiani, A, Shigematsu, M, Shimels, T, Shiri, R, Shittu, A, Shiue, I, Shivakumar, KM, Shool, S, Shorofi, SA, Shrestha, S, Shuval, K, Si, Y, Siddig, EE, Sidhu, JK, Silva, JP, Silva, LMLR, Silva, S, Silva, TPR, Simpson, CR, Simpson, KE, Singh, A, Singh, BB, Singh, B, Singh, H, Singh, J, Singh, P, Skou, ST, Smith, G, Sobia, F, Socea, B, Solanki, S, Soleimani, H, Soliman, SSM, Song, Y, Soyiri, IN, Spartalis, M, Spearman, S, Sreeramareddy, CT, Stanaway, JD, Stanikzai, MH, Starodubova, AV, Stein, DJ, Steiner, C, Steiropoulos, P, Stockfelt, L, Stokes, MA, Straif, K, Subedi, N, Abdulkader, RS, Sultana, A, Sun, J, Sundstrom, J, Swain, CK, Szarpak, L, Szeto, MD, Damavandi, PT, Tabares-Seisdedos, R, Malazy, OT, Tabatabaeizadeh, S-A, Tabatabai, S, Tabb, KM, Tabche, C, Tabish, M, Abkenar, YT, Soodejani, MT, Taiba, J, Talaat, IM, Tamuzi, JL, Tan, K-K, Tang, H, Tat, NY, Oliaee, RT, Tavangar, SM, Taveira, N, Tbakhi, A, Tehrani, H, Temsah, M-H, Teramoto, M, Tesfaye, BT, Teye-Kwadjo, E, Thangaraju, P, Thankappan, KR, Thapar, R, Rasiah, Thayakaran, Thirunavukkarasu, S, Thomas, N, Thygesen, LC, Ticoalu, JHV, Timalsena, D, Tiruye, TY, Tiwari, K, Tomo, S, Tonelli, M, Topor-Madry, R, Touvier, M, Tovani-Palone, MR, Tran, AT, Tran, JT, Tran, NM, Tran, TH, Trico, D, 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Abstract: BACKGROUND: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. METHODS: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects m
Published: 2024

3. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Naghavi, M, Ong, KL, Aali, A, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbasi-Kangevari, M, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdollahi, M, Abdollahifar, M-A, Abdoun, M, Abdulah, DM, Abdullahi, A, Abebe, M, Abebe, SS, Abedi, A, Abegaz, KH, Abhilash, ES, Abidi, H, Abiodun, O, Aboagye, RG, Abolhassani, H, Abolmaali, M, Abouzid, M, Aboye, GB, Abreu, LG, Abrha, WA, Abtahi, D, Abu Rumeileh, S, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abu-Rmeileh, NME, Aburuz, S, Abu-Zaid, A, Accrombessi, MMK, Adal, TG, Adamu, AA, Addo, IY, Addolorato, G, Adebiyi, AO, Adekanmbi, V, Adepoju, AV, Adetunji, CO, Adetunji, JB, Adeyeoluwa, TE, Adeyinka, DA, Adeyomoye, OI, Admass, BAA, Adnani, QES, Adra, S, Afolabi, AA, Afzal, MS, Afzal, S, Agampodi, SB, Agasthi, P, Aggarwal, M, Aghamiri, S, Agide, FD, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, MM, Ahmad, S, Ahmad, T, Ahmadi, K, Ahmadzade, AM, Ahmed, A, Ahmed, H, Ahmed, LA, Ahmed, MS, Ahmed, MB, Ahmed, SA, Ajami, M, Aji, B, Akara, EM, Akbarialiabad, H, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akyirem, S, Al Hamad, H, Al Hasan, SM, Alahdab, F, Alalalmeh, SO, Alalwan, TA, Al-Aly, Z, Alam, K, Alam, M, Alam, N, Al-amer, RM, Alanezi, FM, Alanzi, TM, Al-Azzam, S, Albakri, A, Albashtawy, M, AlBataineh, MT, Alcalde-Rabanal, JE, Aldawsari, KA, Aldhaleei, WA, Aldridge, RW, Alema, HB, Alemayohu, MA, Alemi, S, Alemu, YM, Al-Gheethi, AAS, Alhabib, KF, Alhalaiqa, FAN, Al-Hanawi, MK, Ali, A, Ali, L, Ali, MU, Ali, R, Ali, S, Ali, SSS, Alicandro, G, Alif, SM, Alikhani, R, Alimohamadi, Y, Aliyi, AA, Aljasir, MAM, Aljunid, SM, Alla, F, Allebeck, P, Al-Marwani, S, Al-Maweri, SAA, Almazan, JU, Al-Mekhlafi, HM, Almidani, L, Almidani, O, Alomari, MA, Al-Omari, B, Alonso, J, Alqahtani, JS, Alqalyoobi, S, Alqutaibi, AY, Al-Sabah, SK, Altaany, Z, Altaf, A, Al-Tawfiq, JA, Altirkawi, KA, Aluh, DO, Alvis-Guzman, N, Alwafi, H, Al-Worafi, 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Zhu, L, Ziafati, M, Zielińska, M, Zitoun, OA, Zoladl, M, Zou, Z, Zuhlke, LJ, Zumla, A, Zweck, E, Zyoud, SH, Wool, EE, and Murray, CJL
Published: 2024

4. Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

Author: Vollset, SE, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbastabar, H, Abd Al Magied, AHA, Abd ElHafeez, S, Abdelkader, A, Abdelmasseh, M, Alrousan, SM, Philip, AK, Phillips, MR, Pigeolet, M, Piradov, MA, Pisoni, E, Plotnikov, E, Poddighe, D, Polibin, RV, Poluru, R, Ponkilainen, VT, Al-Sabah, SK, Popovic, DS, Postma, MJ, Pour-Rashidi, A, Prabhu, D, Prada, SI, Pradhan, J, Pradhan, PMS, Prashant, A, Prates, EJS, Priscilla, T, Alsabri, MA, Purnobasuki, H, Purohit, BM, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Rabiee Rad, M, Radhakrishnan, V, Raeisi Shahraki, H, Altaany, Z, Rafferty, Q, Raggi, A, Raggi, C, Raheem, N, Rahim, F, Rahim, MJ, Rahimibarghani, S, Rahman, MMMR, Rahman, M, Rahman, MA, Al-Tammemi, AB, Rahman, T, Rahmani, AM, Rahmanian, M, Rahmanian, N, Rahmati, R, Rahmawaty, S, Raimondo, D, Raja, A, Rajput, P, Ramadan, M, Al-Tawfiq, JA, Ramasamy, SK, Ramazanu, S, Ramteke, PW, Rana, K, Rana, RK, Ranabhat, CL, Rane, A, Rao, CR, Rao, M, Rasella, D, Altirkawi, KA, Rashedi, V, Rashid, AM, Rasouli-Saravani, A, Rastogi, P, Rasul, A, Rathish, D, Rathnaiah Babu, G, Rauniyar, SK, Ravangard, R, Rawaf, DL, Aluh, DO, Rawaf, S, Raza, RZ, Redwan, EMM, Reifels, L, Reitsma, MB, Remuzzi, G, Rengasamy, KRR, Reshmi, B, Resnikoff, S, Restaino, S, Alvis-Guzman, N, Reyes, LF, Rezaei, N, Rezaei, ZS, Rezaeian, M, Rhee, TG, Rickard, J, Robalik, T, Robinson-Oden, HE, Rocha, HAL, Al-Wardat, MS, Rodrigues, M, Rodriguez, JAB, Roever, L, Romadlon, DS, Ronfani, L, Rony, MKK, Roshandel, G, Rotimi, K, Rout, HS, Roy, B, Abd-Elsalam, S, Al-Worafi, YM, Rubagotti, E, Ruela, GDA, Rumisha, SF, Runghien, T, Russo, M, Saad, AMA, Saber, K, Saber-Ayad, MM, Sabet, CJ, Sabour, S, Aly, H, Sachdev, PS, Saddler, A, Sadee, BA, Sadeghi, M, Saeb, MR, Saeed, U, Safi, SZ, Sagar, R, Saghafi, A, Sagoe, D, Alyahya, MS, Sahebkar, A, Sahoo, PM, Sajid, MR, Salam, N, Salamati, P, Salami, AA, Saleh, MA, Salehi, L, Salem, MR, Salemcity, AJ, Alzoubi, KH, Salimi, S, Samadi 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Martorell, M, Albakri, A, Marx, W, Marzo, RR, Masoudi, S, Mathangasinghe, Y, Mathioudakis, AG, Mathur, M, Mathur, N, Matozinhos, FP, Mattumpuram, J, Aldhaleei, WA, Maude, RJ, Maugeri, A, Mayeli, M, Mazidi, M, Mazzotti, A, McGrath, JJ, McKee, M, McKowen, ALW, McPhail, MA, McPhail, SM, Aldridge, RW, Mehmood, A, Mehrabani-Zeinabad, K, Mehravar, S, Mekene Meto, T, Melese, EB, Mendez-Lopez, MAM, Mendoza, W, Menezes, RG, Mensah, GA, Mensah, LG, Alemohammad, SY, Mentis, A-FA, Meo, SA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mestrovic, T, Mettananda, KCD, Mettananda, S, Mhlanga, A, Mhlanga, L, Alemu, YM, Miazgowski, T, Michalek, IM, Micheletti Gomide Nogueira de Sá, AC, Miller, TR, Minh, LHN, Mirahmadi, A, Mirijello, A, Mirrakhimov, EM, Mirzaei, R, Mitchell, PB, Al-Gheethi, AAS, Mittal, C, Moberg, ME, Moghadam Fard, A, Mohajelin, S, Mohamadkhani, A, Mohamed, AI, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammad, AM, Al-Hanawi, MK, Mohammadi, S, Mohammed, H, Mohammed, M, Mohammed, S, Mokdad, AH, Molokhia, M, Momani, SM, Momtazmanesh, S, Monasta, L, Mondello, S, Ali, A, Moni, MA, Montazeri, F, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Mosapour, A, Mosser, JF, Mossialos, E, Motappa, R, Mougin, V, Mousavi, P, Mrejen, M, Mubarik, S, Mueller, UO, Mulita, F, Ali, I, Munjal, K, Murillo-Zamora, E, Musallam, KM, Musina, A-M, Mustafa, G, Myung, W, Nafei, A, Nagarajan, AJ, Naghavi, P, Naik, GR, Ali, MU, Naik, G, Nainu, F, Najdaghi, S, Nakhostin Ansari, N, Nangia, V, Narasimha Swamy, S, Nargus, S, Narimani Davani, D, Nascimento, BR, Nascimento, GG, Ali, R, Naser, AY, Nashwan, AJ, Natto, ZS, Nauman, J, Navaratna, SNK, Naveed, M, Nawsherwan, Nayak, BP, Nayak, VC, Negash, H, Ali, SSS, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nejjari, C, Nematollahi, S, Netsere, HB, Ng, M, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, AH, Ali, VE, Nguyen, DH, Nguyen, HTH, Nguyen, N, Nguyen, NNY, Nguyen, PT, Nguyen, QP, Nguyen, VT, Nguyen Tran Minh, D, Niazi, RK, Ali, W, Nigatu, YT, Niknam, M, Nikoobar, A, Nikpoor, AR, Nikravangolsefid, N, Noman, EA, Nomura, S, Noor, STA, Noroozi, N, Nouri, M, Al-Ibraheem, A, Nozari, M, Nri-Ezedi, CA, Ntaios, G, Nunemo, MH, Nurrika, D, Nutor, JJ, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Obamiro, KO, Alicandro, G, Odetokun, IA, Oduro, MS, Ogundijo, OA, Ogunfowokan, AA, Ogunkoya, A, Oguntade, AS, Oh, I-H, Ojo-Akosile, TR, Okati-Aliabad, H, Okekunle, AP, Alif, SM, Okonji, OC, Olagunju, AT, Olatubi, MI, Oliveira, GMM, Olusanya, BO, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omer, GL, Ong, S, Aljunid, SM, Onie, S, Onwujekwe, OE, Opejin, AO, Ordak, M, Orish, VN, Ortiz, A, Ortiz-Prado, E, Osman, WMS, Ostojic, SM, Ostroff, SM, Alla, F, Osuagwu, UL, Otoiu, A, Otstavnov, SS, Ouyahia, A, Owolabi, MO, Oyeyemi, OT, Ozair, A, P A, MP, Padron-Monedero, A, Padubidri, JR, Almazan, JU, Pal, PK, Palicz, T, Pan, F, Pan, H-F, Panda-Jonas, S, Pandey, A, Pando-Robles, V, Pangaribuan, HU, Panos, GD, Panos, LD, Al-Mekhlafi, HM, Pantazopoulos, I, Pantea Stoian, AM, Parikh, RR, Park, E-K, Park, S, Parsons, N, Parthasarathi, A, Pasovic, M, Passera, R, Alqutaibi, AY, Patel, J, Pathan, AR, Patil, S, Patoulias, D, Pawar, S, Pazoki Toroudi, H, Pease, SA, Peden, AE, Pedersini, P, Pensato, U, Alrawashdeh, A, Pepito, VCF, Peprah, P, Pereira, M, Pereira, MO, Perianayagam, A, Perico, N, Perna, S, Pesudovs, K, Petermann-Rocha, FE, and Pham, HT
Published: 2024

5. Learning Generalizable Dexterous Manipulation

Author: Qin, Yuzhe, Wang, Xiaolong XW1, Su, Hao HS, Qin, Yuzhe, Qin, Yuzhe, Wang, Xiaolong XW1, Su, Hao HS, and Qin, Yuzhe
Abstract: Dexterous manipulation using multi-fingered robotic hands is a crucial area in robotics, aimed at performing intricate tasks with various objects in everyday environments. However, this field presents significant challenges. Modeling the complex contact patterns between a dexterous hand and manipulated objects is difficult, hindering the effectiveness of model-based control methods. Furthermore, the high number of Degrees of Freedom (DoF) in the hand's joints, dramatically increases the complexity of training data-driven policies for dexterous manipulation.This dissertation addresses the challenging task of learning highly generalizable dexterous manipulation skills applicable across diverse scenarios. We investigate two principal directions to enhance the learning capabilities of dexterous manipulation. First, we leverage the inherent structural similarities between human and robotic hands, employing human data to guide robot manipulation skills. This approach is motivated by the bio-inspired design of dexterous hands, which offers a unique opportunity to learn from human demonstrations. To facilitate efficient data collection, we develop AnyTeleop, a general vision-based teleoperation system for dexterous robot arm-hand systems. AnyTeleop utilizes readily available devices like web cameras to provide a versatile interface for teleoperating various arm-hand systems. Furthermore, we introduce CyberDemo, a data augmentation technique that expands the original human demonstrations, generating a dataset hundreds of times larger than the initial set. This approach allows for training policies capable of handling a wider range of scenarios without requiring additional human effort.Second, we explore the potential of using vast amounts of simulated data to learn dexterous manipulation policies. The primary challenge in this direction lies in bridging the domain gap between simulation and the real world, encompassing both dynamics and visual discrepancies. This sim2real ga
Published: 2024

6. Enhancing productivity, soil health, and reducing global warming potential through diverse conservation agriculture cropping systems in India's Western Indo-Gangetic Plains

Author: Gora, MK, Gora, MK, Jat, HS, Ladha, JK, Choudhary, Madhu, Sharma, PC, Yadav, AK, Singh, LK, Sapkota, Tek B, Singh, Yadvinder, Prajapat, Kailash, Yadav, RK, Jat, ML, Krupnik, TJ, Gathala, MK, Gora, MK, Gora, MK, Jat, HS, Ladha, JK, Choudhary, Madhu, Sharma, PC, Yadav, AK, Singh, LK, Sapkota, Tek B, Singh, Yadvinder, Prajapat, Kailash, Yadav, RK, Jat, ML, Krupnik, TJ, and Gathala, MK
Abstract: Context: The rice-wheat (RW) system, spanning 13.5 million hectares in South Asia, is crucial for food security and livelihoods. However, intensive conventional tillage-based practices have harmed soil and environmental health, decreased productivity trends and increased greenhouse gas emissions. Objective: This study aims to develop resilient, climate-smart cropping systems within the RW system, focusing on soil and crop productivity, economic viability, and reduced greenhouse gas (GHG) emissions. Methods: Over eight years, the study evaluated diverse parameters compared to farmer practices (FP) in seven scenarios (Sc), including one representing FP (Sc1) and six based on conservation agriculture (CA) principles. The study assessed system crop productivity, economic returns, soil quality (organic carbon; OC, nitrogen; N, phosphorus; P, potassium; K contents, bulk density; BD, soil aggregation, infiltration rates, microbial counts, and earthworm density), and GHG emissions. Results: CA-based scenarios (Sc2 to Sc7) showed improved soil quality, lower bulk density, enhanced soil aggregation, and increased infiltration rates compared to Sc1. In the 0–15 cm layer, surface soil organic carbon (OC) and C stock were 63.7 % and 49.6 % higher, respectively, in CA-based scenarios. Additionally, available N, P and K contents in the surface layer increased by 10.2 %, 28.6 %, and 21.8 % under CA-based scenarios. Adoption of CA in intensified maize-based scenarios (Sc4 and Sc5) led to the increased system and economic yields, higher soil quality index (SQI), reduced GHG emissions and increased C stock compared to Sc1. Implications: The study highlights that Conservation Agriculture (CA) practices and diversified crop rotations can address issues like falling crop productivity, reduced economic returns, soil degradation, and increasing environmental impacts in northwestern India's traditional rice-wheat system. However, widespread adoption requires government policies, including C
Published: 2024

7. Ice sheet–free West Antarctica during peak early Oligocene glaciation

Author: Smith, H Jesse, Klages, Johann Philipp, Hillenbrand, C-D, Bohaty, SM, Salzmann, U, Bickert, T, Lohmann, G, Knahl, HS, Gierz, P, Niu, L, Titschack, J, Kuhn, G, Frederichs, T, Müller, J, Bauersachs, T, Larter, RD, Hochmuth, K, Ehrmann, W, Nehrke, G, Rodríguez-Tovar, FJ, Schmiedl, G, Spezzaferri, S, Läufer, A, Lisker, F, van de Flierdt, T, Eisenhauer, A, Uenzelmann-Neben, G, Esper, O, Smith, JA, Pälike, H, Spiegel, C, Dziadek, R, Ronge, TA, Freudenthal, T, Gohl, K, Smith, H Jesse, Klages, Johann Philipp, Hillenbrand, C-D, Bohaty, SM, Salzmann, U, Bickert, T, Lohmann, G, Knahl, HS, Gierz, P, Niu, L, Titschack, J, Kuhn, G, Frederichs, T, Müller, J, Bauersachs, T, Larter, RD, Hochmuth, K, Ehrmann, W, Nehrke, G, Rodríguez-Tovar, FJ, Schmiedl, G, Spezzaferri, S, Läufer, A, Lisker, F, van de Flierdt, T, Eisenhauer, A, Uenzelmann-Neben, G, Esper, O, Smith, JA, Pälike, H, Spiegel, C, Dziadek, R, Ronge, TA, Freudenthal, T, and Gohl, K
Abstract: One of Earth’s most fundamental climate shifts – the greenhouse-icehouse transition 34 Ma ago – initiated Antarctic ice-sheet build-up, influencing global climate until today. However, the extent of the ice sheet during the Early Oligocene Glacial Maximum (~33.7–33.2 Ma) that immediately followed this transition, a critical knowledge gap for assessing feedbacks between permanently glaciated areas and early Cenozoic global climate reorganization, is uncertain. Here, we present shallow-marine drilling data constraining earliest Oligocene environmental conditions on West Antarctica’s Pacific margin – a key region for understanding Antarctic ice sheet-evolution. These data indicate a cool-temperate environment, with mild ocean and air temperatures preventing West Antarctic Ice Sheet formation. Climate-ice sheet modeling corroborates a highly asymmetric Antarctic ice sheet, thereby revealing its differential regional response to past and future climatic change.
Published: 2024

8. Dominance and rarity in tree communities across the globe: Patterns, predictors and threats

Author: Hordijk, Iris, Hordijk, Iris, Bialic‐Murphy, Lalasia, Lauber, Thomas, Routh, Devin, Poorter, Lourens, Rivers, Malin C, Steege, Hans ter, Liang, Jingjing, Reich, Peter B, de‐Miguel, Sergio, Nabuurs, Gert‐Jan, Gamarra, Javier GP, Chen, Han YH, Zhou, Mo, Wiser, Susan K, Pretzsch, Hans, Paquette, Alain, Picard, Nicolas, Hérault, Bruno, Bastin, Jean‐Francois, Alberti, Giorgio, Abegg, Meinrad, Yao, Yves C Adou, Zambrano, Angelica M Almeyda, Alvarado, Braulio V, Alvarez‐Davila, Esteban, Alvarez‐Loayza, Patricia, Alves, Luciana F, Ammer, Christian, Antón‐Fernández, Clara, Araujo‐Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Corredor, Gerardo A Aymard, Baker, Timothy, Banki, Olaf, Barroso, Jorcely, Bastian, Meredith L, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro HS, Brandl, Susanne, Brienen, Roel, Broadbent, Eben N, Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, Cesar, Ricardo G, Cesljar, Goran, Chazdon, Robin, Chisholm, Chelsea, Cienciala, Emil, Clark, Connie J, Clar, David B, Colletta, Gabriel, Coomes, David, Valverde, Fernando Cornejo, Corral‐Rivas, Jose J, Crim, Philip, Cumming, Jonathan, Dayanandan, Selvadurai, de Gasper, André L, Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Iêda, Amaral, Dourdain, Aurélie, Dolezal, Jiri, Obiang, Nestor Laurier Engone, Enquist, Brian, Eyre, Teresa, Fandohan, Adandé Belarmain, Fayle, Tom M, Ferreira, Leandro V, Feldpausch, Ted R, Finér, Leena, Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gianelle, Damiano, Glick, Henry B, Harris, David, Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Herbohn, John, Hillers, Annika, Coronado, Eurídice N Honorio, Hui, Cang, Cho, Hyunkook, Ibanez, Thomas, Jung, Ilbin, Imai, Nobuo, Jagodzinski, Andrzej M, Jaroszewicz, Bogdan, Hordijk, Iris, Hordijk, Iris, Bialic‐Murphy, Lalasia, Lauber, Thomas, Routh, Devin, Poorter, Lourens, Rivers, Malin C, Steege, Hans ter, Liang, Jingjing, Reich, Peter B, de‐Miguel, Sergio, Nabuurs, Gert‐Jan, Gamarra, Javier GP, Chen, Han YH, Zhou, Mo, Wiser, Susan K, Pretzsch, Hans, Paquette, Alain, Picard, Nicolas, Hérault, Bruno, Bastin, Jean‐Francois, Alberti, Giorgio, Abegg, Meinrad, Yao, Yves C Adou, Zambrano, Angelica M Almeyda, Alvarado, Braulio V, Alvarez‐Davila, Esteban, Alvarez‐Loayza, Patricia, Alves, Luciana F, Ammer, Christian, Antón‐Fernández, Clara, Araujo‐Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Corredor, Gerardo A Aymard, Baker, Timothy, Banki, Olaf, Barroso, Jorcely, Bastian, Meredith L, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro HS, Brandl, Susanne, Brienen, Roel, Broadbent, Eben N, Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, Cesar, Ricardo G, Cesljar, Goran, Chazdon, Robin, Chisholm, Chelsea, Cienciala, Emil, Clark, Connie J, Clar, David B, Colletta, Gabriel, Coomes, David, Valverde, Fernando Cornejo, Corral‐Rivas, Jose J, Crim, Philip, Cumming, Jonathan, Dayanandan, Selvadurai, de Gasper, André L, Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Iêda, Amaral, Dourdain, Aurélie, Dolezal, Jiri, Obiang, Nestor Laurier Engone, Enquist, Brian, Eyre, Teresa, Fandohan, Adandé Belarmain, Fayle, Tom M, Ferreira, Leandro V, Feldpausch, Ted R, Finér, Leena, Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gianelle, Damiano, Glick, Henry B, Harris, David, Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Herbohn, John, Hillers, Annika, Coronado, Eurídice N Honorio, Hui, Cang, Cho, Hyunkook, Ibanez, Thomas, Jung, Ilbin, Imai, Nobuo, Jagodzinski, Andrzej M, and Jaroszewicz, Bogdan
Abstract: Aim: Ecological and anthropogenic factors shift the abundances of dominant and rare tree species within local forest communities, thus affecting species composition and ecosystem functioning. To inform forest and conservation management it is important to understand the drivers of dominance and rarity in local tree communities. We answer the following research questions: (1) What are the patterns of dominance and rarity in tree communities? (2) Which ecological and anthropogenic factors predict these patterns? And (3) what is the extinction risk of locally dominant and rare tree species?. Location: Global. Time period: 1990–2017. Major taxa studied: Trees. Methods: We used 1.2 million forest plots and quantified local tree dominance as the relative plot basal area of the single most dominant species and local rarity as the percentage of species that contribute together to the least 10% of plot basal area. We mapped global community dominance and rarity using machine learning models and evaluated the ecological and anthropogenic predictors with linear models. Extinction risk, for example threatened status, of geographically widespread dominant and rare species was evaluated. Results: Community dominance and rarity show contrasting latitudinal trends, with boreal forests having high levels of dominance and tropical forests having high levels of rarity. Increasing annual precipitation reduces community dominance, probably because precipitation is related to an increase in tree density and richness. Additionally, stand age is positively related to community dominance, due to stem diameter increase of the most dominant species. Surprisingly, we find that locally dominant and rare species, which are geographically widespread in our data, have an equally high rate of elevated extinction due to declining populations through large-scale land degradation. Main conclusions: By linking patterns and predictors of community dominance and rarity to extinction risk, our results sug
Published: 2024

9. Wie zufrieden sind 50-jährige Männer mit ihrem Sexualleben und welche Faktoren sind damit assoziiert? Ergebnisse aus der Bavarian Men's Health-Study

Author: Schweitzer, T, Meissner, VH, Leiber-Caspers, C, Schmalbrock, LJ, Schiele, S, Jahnen, M, Schulwitz, HS, Gschwend, JE, Herkommer, K, Schweitzer, T, Meissner, VH, Leiber-Caspers, C, Schmalbrock, LJ, Schiele, S, Jahnen, M, Schulwitz, HS, Gschwend, JE, and Herkommer, K
Published: 2024

10. Interzonen-Epitheldickenunterschiede zur Früherkennung des Keratokonus mittels optischer Kohärenztomographie

Author: Naujokaitis, T, Khoramnia, R, Friedrich, M, Son, HS, Auffarth, GU, Augustin, VA, Naujokaitis, T, Khoramnia, R, Friedrich, M, Son, HS, Auffarth, GU, and Augustin, VA
Published: 2024

11. Junior High School Principal's Strategy in Preparing the Generation to Face the Era of Society 5.0

Author: Then, Yoana Merilla Kurniawan, HS, Sufyati, Ramdhani, Sendi, Then, Yoana Merilla Kurniawan, HS, Sufyati, and Ramdhani, Sendi
Abstract: This research was conducted at Parahyangan Mulia Junior High School. The research subject is the principal of Parahyangan Mulia Junior High School Tasikmalaya because the principal is a leader and policy maker at school and must have a specific strategy regarding every policy he takes to deliver those goals. The goal of this research is to analyze the strategy used by the principal in preparing the generation to enter the era of society 5.0. A qualitative approach was employed in this research, and interviews, observations, and literature reviews were used as data collection techniques. The informants were the principal, head of the school team, teachers, and Parahyangan Mulia Junior High School students. The result of this research is the strategy of the principal in preparing the generation for the era of Society 5.0 is carried out through the development of the school's human resource program (character program, STEAM, and life skills) and cooperation with the stakeholders who have the same goals with the school. By implementing this strategy, the abilities of Parahyangan Mulia Junior High School students have increasingly developed according to the personality expected in the era of society 5.0, namely creative, critical, communicative, and collaborative.
Published: 2024

12. The Artificial Recruiter: Risks of Discrimination in Employers’ Use of AI and Automated Decision‐Making

Author: Swedish Equality Ombudsman, the Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society (WASP-HS) funded by the Marianne and Marcus Wallenberg Foundation and the Marcus and Amalia Wallenberg Foundation., Larsson, Stefan, White, James Merricks, Ingram Bogusz, Claire, Swedish Equality Ombudsman, the Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society (WASP-HS) funded by the Marianne and Marcus Wallenberg Foundation and the Marcus and Amalia Wallenberg Foundation., Larsson, Stefan, White, James Merricks, and Ingram Bogusz, Claire
Abstract: Extant literature points to how the risk of discrimination is intrinsic to AI systems owing to the dependence on training data and the difficulty of post hoc algorithmic auditing. Transparency and auditability limitations are problematic both for companies’ prevention efforts and for government oversight, both in terms of how artificial intelligence (AI) systems function and how large‐scale digital platforms support recruitment processes. This article explores the risks and users’ understandings of discrimination when using AI and automated decision‐making (ADM) in worker recruitment. We rely on data in the form of 110 completed questionnaires with representatives from 10 of the 50 largest recruitment agencies in Sweden and representatives from 100 Swedish companies with more than 100 employees (“major employers”). In this study, we made use of an open definition of AI to accommodate differences in knowledge and opinion around how AI and ADM are understood by the respondents. The study shows a significant difference between direct and indirect AI and ADM use, which has implications for recruiters’ awareness of the potential for bias or discrimination in recruitment. All of those surveyed made use of large digital platforms like Facebook and LinkedIn for their recruitment, leading to concerns around transparency and accountability—not least because most respondents did not explicitly consider this to be AI or ADM use. We discuss the implications of direct and indirect use in recruitment in Sweden, primarily in terms of transparency and the allocation of accountability for bias and discrimination during recruitment processes.
Published: 2024

13. Wie zufrieden sind 50-jährige Männer mit ihrem Sexualleben und welche Faktoren sind damit assoziiert? Ergebnisse aus der Bavarian Men's Health-Study

Author: Schweitzer, T, Meissner, VH, Leiber-Caspers, C, Schmalbrock, LJ, Schiele, S, Jahnen, M, Schulwitz, HS, Gschwend, JE, Herkommer, K, Schweitzer, T, Meissner, VH, Leiber-Caspers, C, Schmalbrock, LJ, Schiele, S, Jahnen, M, Schulwitz, HS, Gschwend, JE, and Herkommer, K
Published: 2024

14. Interzonen-Epitheldickenunterschiede zur Früherkennung des Keratokonus mittels optischer Kohärenztomographie

Author: Naujokaitis, T, Khoramnia, R, Friedrich, M, Son, HS, Auffarth, GU, Augustin, VA, Naujokaitis, T, Khoramnia, R, Friedrich, M, Son, HS, Auffarth, GU, and Augustin, VA
Published: 2024

15. Perceived risk and second-hand clothing consumption: a moderated-moderation model

Author: Koay, KY, Cheung, ML, Lom, HS, Leung, WKS, Koay, KY, Cheung, ML, Lom, HS, and Leung, WKS
Abstract: Purpose: This study aims to investigate the three-way interaction effect of sanitary risk, aesthetic risk and psychological risk on consumers' purchase intention for second-hand clothing (SHC) based on perceived risk theory. Design/methodology/approach: A survey method is used to collect data from consumers, and the final valid sample comprises 290 respondents. Partial least squares structural equation modelling (PLS-SEM) and PROCESS macro are used to analyse the data. Findings: The results reveal that aesthetic risk moderates the negative influence of sanitary risk on purchase intention, such that the negative influence is stronger when aesthetic risk is high. In addition, the three-way interaction effect of sanitary risk, aesthetic risk and psychological risk on consumers' purchase intention for SHC is found to be significant. That is, the negative influence of sanitary risk on purchase intention is strongest when both aesthetic risk and psychological risk are high. Originality/value: Previous studies have only examined the direct effect of perceived risk on consumers' purchase intention for SHC. This study contributes to perceived risk theory by examining the joint moderating effect of aesthetic risk and psychological risk on the relationship between sanitary risk and purchase intention in the context of SHC.
Published: 2024

16. Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

Author: Boeger, Walter A, Valim, Michel P, Zaher, Hussam, Rafael, José A, Forzza, Rafaela C, Percequillo, Alexandre R, Serejo, Cristiana S, Garraffoni, André RS, Santos, Adalberto J, Slipinski, Adam, Linzmeier, Adelita M, Calor, Adolfo R, Garda, Adrian A, Kury, Adriano B, Fernandes, Agatha CS, Agudo-Padrón, Aisur I, Akama, Alberto, Silva Neto, Alberto M da, Burbano, Alejandro L, Menezes, Aleksandra, Pereira-Colavite, Alessandre, Anichtchenko, Alexander, Lees, Alexander C, Bezerra, Alexandra MR, Domahovski, Alexandre C, Pimenta, Alexandre D, Aleixo, Alexandre LP, Marceniuk, Alexandre P, Paula, Alexandre S de, Somavilla, Alexandre, Specht, Alexandre, Camargo, Alexssandro, Newton, Alfred F, Silva, Aline AS da, Santos, Aline B dos, Tassi, Aline D, Aragão, Allan C, Santos, Allan PM, Migotto, Alvaro E, Mendes, Amanda C, Cunha, Amanda, Chagas Júnior, Amazonas, Sousa, Ana AT de, Pavan, Ana C, Almeida, Ana CS, Peronti, Ana LBG, Henriques-Oliveira, Ana L, Prudente, Ana L, Tourinho, Ana L, Pes, Ana MO, Carmignotto, Ana P, Wengrat, Ana PG da Silva, Dornellas, Ana PS, Molin, Anamaria Dal, Puker, Anderson, Morandini, André C, Ferreira, André da S, Martins, André L, Esteves, André M, Fernandes, André S, Roza, André S, Köhler, Andreas, Paladini, Andressa, Andrade, Andrey J de, Pinto, Ângelo P, Salles, Anna C de A, Gondim, Anne I, Amaral, Antonia CZ, Rondón, Antonio AA, Brescovit, Antonio, Lofego, Antônio C, Marques, Antonio C, Macedo, Antonio, Andriolo, Artur, Henriques, Augusto L, Ferreira Júnior, Augusto L, Lima, Aurino F de, Barros, Ávyla R de A, Brito, Ayrton do R, Romera, Bárbara LV, Vasconcelos, Beatriz MC de, Frable, Benjamin W, Santos, Bernardo F, Ferraz, Bernardo R, Rosa, Brunno B, Sampaio, Brunno HL, Bellini, Bruno C, Clarkson, Bruno, Oliveira, Bruno G de, Corrêa, Caio CD, Martins, Caleb C, Castro-Guedes, Camila F de, Souto, Camilla, Bicho, Carla de L, Cunha, Carlo M, Barboza, Carlos A de M, Lucena, Carlos AS de, Barreto, Carlos, Santana, Carlos DCM de, Agne, Carlos EQ, Mielke, Carlos GC, Caetano, Carlos HS, Flechtmann, Carlos HW, Lamas, Carlos JE, Rocha, Carlos, Mascarenhas, Carolina S, Margaría, Cecilia B, Waichert, Cecilia, Digiani, Celina, Haddad, Célio FB, Azevedo, Celso O, Benetti, Cesar J, Santos, Charles MD dos, Bartlett, Charles R, Bonvicino, Cibele, Ribeiro-Costa, Cibele S, Santos, Cinthya SG, Justino, Cíntia EL, Canedo, Clarissa, Bonecker, Claudia C, Santos, Cláudia P, Carvalho, Claudio JB de, Gonçalves, Clayton C, Galvão, Cleber, Costa, Cleide, Oliveira, Cléo DC de, Schwertner, Cristiano F, Andrade, Cristiano L, Pereira, Cristiano M, Sampaio, Cristiano, Dias, Cristina de O, Lucena, Daercio A de A, Manfio, Daiara, Amorim, Dalton de S, Queiroz, Dalva L de, Colpani, Daniara, Abbate, Daniel, Aquino, Daniel A, Burckhardt, Daniel, Cavallari, Daniel C, Prado, Daniel de C Schelesky, Praciano, Daniel L, Basílio, Daniel S, Bená, Daniela de C, Toledo, Daniela GP de, Takiya, Daniela M, Fernandes, Daniell RR, Ament, Danilo C, Cordeiro, Danilo P, Silva, Darliane E, Pollock, Darren A, Muniz, David B, Gibson, David I, Nogueira, David S, Marques, Dayse WA, Lucatelli, Débora, Garcia, Deivys MA, Baêta, Délio, Ferreira, Denise NM, Rueda-Ramírez, Diana, Fachin, Diego A, Souza, Diego de S, Rodrigues, Diego F, Pádua, Diego G de, Barbosa, Diego N, Dolibaina, Diego R, Amaral, Diogo C, Chandler, Donald S, Maccagnan, Douglas HB, Caron, Edilson, Carvalho, Edrielly, Adriano, Edson A, Abreu Júnior, Edson F de, Pereira, Edson HL, Viegas, Eduarda FG, Carneiro, Eduardo, Colley, Eduardo, Eizirik, Eduardo, Santos, Eduardo F dos, Shimbori, Eduardo M, Suárez-Morales, Eduardo, Arruda, Eliane P de, Chiquito, Elisandra A, Lima, Élison FB, Castro, Elizeu B de, Orlandin, Elton, Nascimento, Elynton A do, Razzolini, Emanuel, Gama, Emanuel RR, Araujo, Enilma M de, Nishiyama, Eric Y, Spiessberger, Erich L, Santos, Érika CL dos, Contreras, Eugenia F, Galati, Eunice AB, Oliveira Junior, Evaldo C de, Gallardo, Fabiana, Hernandes, Fabio A, Lansac-Tôha, Fábio A, Pitombo, Fabio B, Dario, Fabio Di, Santos, Fábio L dos, Mauro, Fabio, Nascimento, Fabio O do, Olmos, Fabio, Amaral, Fabio R, Schunck, Fabio, Godoi, Fábio SP de, Machado, Fabrizio M, Barbo, Fausto E, Agrain, Federico A, Ribeiro, Felipe B, Moreira, Felipe FF, Barbosa, Felipe F, Silva, Fenanda S, Cavalcanti, Fernanda F, Straube, Fernando C, Carbayo, Fernando, Carvalho Filho, Fernando, Zanella, Fernando CV, Jacinavicius, Fernando de C, Farache, Fernando HA, Leivas, Fernando, Dias, Fernando MS, Mantellato, Fernando, Vaz-de-Mello, Fernando Z, Gudin, Filipe M, Albuquerque, Flávio, Molina, Flavio B, Passos, Flávio D, Shockley, Floyd W, Pinheiro, Francielly F, Mello, Francisco de AG de, Nascimento, Francisco E de L, Franco, Francisco L, Oliveira, Francisco L de, Melo, Francisco T de V, Quijano, Freddy RB, Salles, Frederico F, Biffi, Gabriel, Queiroz, Gabriel C, Bizarro, Gabriel L, Hrycyna, Gabriela, Leviski, Gabriela, Powell, Gareth S, Santos, Geane B dos, Morse, Geoffrey E, Brown, George, Mattox, George MT, Zimbrão, Geraldo, Carvalho, Gervásio S, Miranda, Gil FG, Moraes, Gilberto J de, Lourido, Gilcélia M, Neves, Gilmar P, Moreira, Gilson RP, Montingelli, Giovanna G, Maurício, Giovanni N, Marconato, Gláucia, Lopez, Guilherme EL, Silva, Guilherme L da, Muricy, Guilherme, Brito, Guilherme RR, Garbino, Guilherme ST, Flores, Gustavo E, Graciolli, Gustavo, Libardi, Gustavo S, Proctor, Heather C, Gil-Santana, Helcio R, Varella, Henrique R, Escalona, Hermes E, Schmitz, Hermes J, Rodrigues, Higor DD, Galvão Filho, Hilton de C, Quintino, Hingrid YS, Pinto, Hudson A, Rainho, Hugo L, Miyahira, Igor C, Gonçalves, Igor de S, Martins, Inês X, Cardoso, Irene A, Oliveira, Ismael B de, Franz, Ismael, Fernandes, Itanna O, Golfetti, Ivan F, S. Campos-Filho, Ivanklin, Oliveira, Ivo de S, Delabie, Jacques HC, Oliveira, Jader de, Prando, Jadila S, Patton, James L, Bitencourt, Jamille de A, Silva, Janaina M, Santos, Jandir C, Arruda, Janine O, Valderrama, Jefferson S, Dalapicolla, Jeronymo, Oliveira, Jéssica P, Hájek, Jiri, Morselli, João P, Narita, João P, Martin, João PI, Grazia, Jocélia, McHugh, Joe, Cherem, Jorge J, Farias Júnior, José AS, Fernandes, Jose AM, Pacheco, José F, Birindelli, José LO, Rezende, José M, Avendaño, Jose M, Duarte, José M Barbanti, Ribeiro, José R Inácio, Mermudes, José RM, Pujol-Luz, José R, Santos, Josenilson R dos, Câmara, Josenir T, Teixeira, Joyce A, Prado, Joyce R do, Botero, Juan P, Almeida, Julia C, Kohler, Julia, Gonçalves, Julia P, Beneti, Julia S, Donahue, Julian P, Alvim, Juliana, Almeida, Juliana C, Segadilha, Juliana L, Wingert, Juliana M, Barbosa, Julianna F, Ferrer, Juliano, Santos, Juliano F dos, Kuabara, Kamila MD, Nascimento, Karine B, Schoeninger, Karine, Campião, Karla M, Soares, Karla, Zilch, Kássia, Barão, Kim R, Teixeira, Larissa, Sousa, Laura D do NM de, Dumas, Leandro L, Vieira, Leandro M, Azevedo, Leonardo HG, Carvalho, Leonardo S, Souza, Leonardo S de, Rocha, Leonardo SG, Bernardi, Leopoldo FO, Vieira, Letícia M, Johann, Liana, Salvatierra, Lidianne, Oliveira, Livia de M, Loureiro, Lourdes MA El-moor, Barreto, Luana B, Barros, Luana M, Lecci, Lucas, Camargos, Lucas M de, Lima, Lucas RC, Almeida, Lucia M, Martins, Luciana R, Marinoni, Luciane, Moura, Luciano de A, Lima, Luciano, Naka, Luciano N, Miranda, Lucília S, Salik, Lucy M, Bezerra, Luis EA, Silveira, Luis F, Campos, Luiz A, Castro, Luiz AS de, Pinho, Luiz C, Silveira, Luiz FL, Iniesta, Luiz FM, Tencatt, Luiz FC, Simone, Luiz RL, Malabarba, Luiz R, Cruz, Luiza S da, Sekerka, Lukas, Barros, Lurdiana D, Santos, Luziany Q, Skoracki, Maciej, Correia, Maira A, Uchoa, Manoel A, Andrade, Manuella FG, Hermes, Marcel G, Miranda, Marcel S, Araújo, Marcel S de, Monné, Marcela L, Labruna, Marcelo B, Santis, Marcelo D de, Duarte, Marcelo, Knoff, Marcelo, Nogueira, Marcelo, Britto, Marcelo R de, Melo, Marcelo RS de, Carvalho, Marcelo R de, Tavares, Marcelo T, Kitahara, Marcelo V, Justo, Marcia CN, Botelho, Marcia JC, Couri, Márcia S, Borges-Martins, Márcio, Felix, Márcio, Oliveira, Marcio L de, Bologna, Marco A, Gottschalk, Marco S, Tavares, Marcos DS, Lhano, Marcos G, Bevilaqua, Marcus, Santos, Marcus TT, Domingues, Marcus V, Sallum, Maria AM, Digiani, María C, Santarém, Maria CA, Nascimento, Maria C do, Becerril, María de los AM, Santos, Maria EA dos, Passos, Maria I da S dos, Felippe-Bauer, Maria L, Cherman, Mariana A, Terossi, Mariana, Bartz, Marie LC, Barbosa, Marina F de C, Loeb, Marina V, Cohn-Haft, Mario, Cupello, Mario, Martins, Marlúcia B, Christofersen, Martin L, Bento, Matheus, Rocha, Matheus dos S, Martins, Maurício L, Segura, Melissa O, Cardenas, Melissa Q, Duarte, Mércia E, Ivie, Michael A, Mincarone, Michael M, Borges, Michela, Monné, Miguel A, Casagrande, Mirna M, Fernandez, Monica A, Piovesan, Mônica, Menezes, Naércio A, Benaim, Natalia P, Reategui, Natália S, Pedro, Natan C, Pecly, Nathalia H, Ferreira Júnior, Nelson, Silva Júnior, Nelson J da, Perioto, Nelson W, Hamada, Neusa, Degallier, Nicolas, Chao, Ning L, Ferla, Noeli J, Mielke, Olaf HH, Evangelista, Olivia, Shibatta, Oscar A, Oliveira, Otto MP, Albornoz, Pablo CL, Dellapé, Pablo M, Gonçalves, Pablo R, Shimabukuro, Paloma HF, Grossi, Paschoal, Rodrigues, Patrícia E da S, Lima, Patricia OV, Velazco, Paul, Santos, Paula B dos, Araújo, Paula B, Silva, Paula KR, Riccardi, Paula R, Garcia, Paulo C de A, Passos, Paulo GH, Corgosinho, Paulo HC, Lucinda, Paulo, Costa, Paulo MS, Alves, Paulo P, Roth, Paulo R de O, Coelho, Paulo RS, Duarte, Paulo RM, Carvalho, Pedro F de, Gnaspini, Pedro, Souza-Dias, Pedro GB, Linardi, Pedro M, Bartholomay, Pedro R, Demite, Peterson R, Bulirsch, Petr, Boll, Piter K, Pereira, Rachel MM, Silva, Rafael APF, Moura, Rafael B de, Boldrini, Rafael, Silva, Rafaela A da, Falaschi, Rafaela L, Cordeiro, Ralf TS, Mello, Ramon JCL, Singer, Randal A, Querino, Ranyse B, Heleodoro, Raphael A, Castilho, Raphael de C, Constantino, Reginaldo, Guedes, Reinaldo C, Carrenho, Renan, Gomes, Renata S, Gregorin, Renato, Machado, Renato JP, Bérnils, Renato S, Capellari, Renato S, Silva, Ricardo B, Kawada, Ricardo, Dias, Ricardo M, Siewert, Ricardo, Brugnera, Ricaro, Leschen, Richard AB, Constantin, Robert, Robbins, Robert, Pinto, Roberta R, Reis, Roberto E dos, Ramos, Robson T da C, Cavichioli, Rodney R, Barros, Rodolfo C de, Caires, Rodrigo A, Salvador, Rodrigo B, Marques, Rodrigo C, Araújo, Rodrigo C, Araujo, Rodrigo de O, Dios, Rodrigo de VP, Johnsson, Rodrigo, Feitosa, Rodrigo M, Hutchings, Roger W, Lara, Rogéria IR, Rossi, Rogério V, Gerstmeier, Roland, Ochoa, Ronald, Hutchings, Rosa SG, Ale-Rocha, Rosaly, Rocha, Rosana M da, Tidon, Rosana, Brito, Rosangela, Pellens, Roseli, Santos, Sabrina R dos, Santos, Sandra D dos, Paiva, Sandra V, Santos, Sandro, Oliveira, Sarah S de, Costa, Sávio C, Gardner, Scott L, Leal, Sebastián A Muñoz, Aloquio, Sergio, Bonecker, Sergio LC, Bueno, Sergio L de S, Almeida, Sérgio M de, Stampar, Sérgio N, Andena, Sérgio R, Posso, Sergio R, Lima, Sheila P, Gadelha, Sian de S, Thiengo, Silvana C, Cohen, Simone C, Brandão, Simone N, Rosa, Simone P, Ribeiro, Síria LB, Letana, Sócrates D, Santos, Sonia B dos, Andrade, Sonia CS, Dávila, Stephane, Vaz, Stéphanie, Peck, Stewart B, Christo, Susete W, Cunha, Suzan BZ, Gomes, Suzete R, Duarte, Tácio, Madeira-Ott, Taís, Marques, Taísa, Roell, Talita, Lima, Tarcilla C de, Sepulveda, Tatiana A, Maria, Tatiana F, Ruschel, Tatiana P, Rodrigues, Thaiana, Marinho, Thais A, Almeida, Thaís M de, Miranda, Thaís P, Freitas, Thales RO, Pereira, Thalles PL, Zacca, Thamara, Pacheco, Thaynara L, Martins, Thiago F, Alvarenga, Thiago M, Carvalho, Thiago R de, Polizei, Thiago TS, McElrath, Thomas C, Henry, Thomas, Pikart, Tiago G, Porto, Tiago J, Krolow, Tiago K, Carvalho, Tiago P, Lotufo, Tito M da C, Caramaschi, Ulisses, Pinheiro, Ulisses dos S, Pardiñas, Ulyses FJ, Maia, Valéria C, Tavares, Valeria, Costa, Valmir A, Amaral, Vanessa S do, Silva, Vera C, Wolff, Vera R dos S, Slobodian, Verônica, Silva, Vinícius B da, Espíndola, Vinicius C, Costa-Silva, Vinicius da, Bertaco, Vinicius de A, Padula, Vinícius, Ferreira, Vinicius S, Silva, Vitor CP da, Piacentini, Vítor de Q, Sandoval-Gómez, Vivian E, Trevine, Vivian, Sousa, Viviane R, Sant’Anna, Vivianne B de, Mathis, Wayne N, Souza, Wesley de O, Colombo, Wesley D, Tomaszewska, Wioletta, Wosiacki, Wolmar B, Ovando, Ximena MC, Leite, Yuri LR, Boeger, Walter A, Valim, Michel P, Zaher, Hussam, Rafael, José A, Forzza, Rafaela C, Percequillo, Alexandre R, Serejo, Cristiana S, Garraffoni, André RS, Santos, Adalberto J, Slipinski, Adam, Linzmeier, Adelita M, Calor, Adolfo R, Garda, Adrian A, Kury, Adriano B, Fernandes, Agatha CS, Agudo-Padrón, Aisur I, Akama, Alberto, Silva Neto, Alberto M da, Burbano, Alejandro L, Menezes, Aleksandra, Pereira-Colavite, Alessandre, Anichtchenko, Alexander, Lees, Alexander C, Bezerra, Alexandra MR, Domahovski, Alexandre C, Pimenta, Alexandre D, Aleixo, Alexandre LP, Marceniuk, Alexandre P, Paula, Alexandre S de, Somavilla, Alexandre, Specht, Alexandre, Camargo, Alexssandro, Newton, Alfred F, Silva, Aline AS da, Santos, Aline B dos, Tassi, Aline D, Aragão, Allan C, Santos, Allan PM, Migotto, Alvaro E, Mendes, Amanda C, Cunha, Amanda, Chagas Júnior, Amazonas, Sousa, Ana AT de, Pavan, Ana C, Almeida, Ana CS, Peronti, Ana LBG, Henriques-Oliveira, Ana L, Prudente, Ana L, Tourinho, Ana L, Pes, Ana MO, Carmignotto, Ana P, Wengrat, Ana PG da Silva, Dornellas, Ana PS, Molin, Anamaria Dal, Puker, Anderson, Morandini, André C, Ferreira, André da S, Martins, André L, Esteves, André M, Fernandes, André S, Roza, André S, Köhler, Andreas, Paladini, Andressa, Andrade, Andrey J de, Pinto, Ângelo P, Salles, Anna C de A, 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Cibele S, Santos, Cinthya SG, Justino, Cíntia EL, Canedo, Clarissa, Bonecker, Claudia C, Santos, Cláudia P, Carvalho, Claudio JB de, Gonçalves, Clayton C, Galvão, Cleber, Costa, Cleide, Oliveira, Cléo DC de, Schwertner, Cristiano F, Andrade, Cristiano L, Pereira, Cristiano M, Sampaio, Cristiano, Dias, Cristina de O, Lucena, Daercio A de A, Manfio, Daiara, Amorim, Dalton de S, Queiroz, Dalva L de, Colpani, Daniara, Abbate, Daniel, Aquino, Daniel A, Burckhardt, Daniel, Cavallari, Daniel C, Prado, Daniel de C Schelesky, Praciano, Daniel L, Basílio, Daniel S, Bená, Daniela de C, Toledo, Daniela GP de, Takiya, Daniela M, Fernandes, Daniell RR, Ament, Danilo C, Cordeiro, Danilo P, Silva, Darliane E, Pollock, Darren A, Muniz, David B, Gibson, David I, Nogueira, David S, Marques, Dayse WA, Lucatelli, Débora, Garcia, Deivys MA, Baêta, Délio, Ferreira, Denise NM, Rueda-Ramírez, Diana, Fachin, Diego A, Souza, Diego de S, Rodrigues, Diego F, Pádua, Diego G de, Barbosa, Diego N, Dolibaina, Diego R, Amaral, Diogo C, Chandler, Donald S, Maccagnan, Douglas HB, Caron, Edilson, Carvalho, Edrielly, Adriano, Edson A, Abreu Júnior, Edson F de, Pereira, Edson HL, Viegas, Eduarda FG, Carneiro, Eduardo, Colley, Eduardo, Eizirik, Eduardo, Santos, Eduardo F dos, Shimbori, Eduardo M, Suárez-Morales, Eduardo, Arruda, Eliane P de, Chiquito, Elisandra A, Lima, Élison FB, Castro, Elizeu B de, Orlandin, Elton, Nascimento, Elynton A do, Razzolini, Emanuel, Gama, Emanuel RR, Araujo, Enilma M de, Nishiyama, Eric Y, Spiessberger, Erich L, Santos, Érika CL dos, Contreras, Eugenia F, Galati, Eunice AB, Oliveira Junior, Evaldo C de, Gallardo, Fabiana, Hernandes, Fabio A, Lansac-Tôha, Fábio A, Pitombo, Fabio B, Dario, Fabio Di, Santos, Fábio L dos, Mauro, Fabio, Nascimento, Fabio O do, Olmos, Fabio, Amaral, Fabio R, Schunck, Fabio, Godoi, Fábio SP de, Machado, Fabrizio M, Barbo, Fausto E, Agrain, Federico A, Ribeiro, Felipe B, Moreira, Felipe FF, Barbosa, Felipe F, Silva, Fenanda S, Cavalcanti, Fernanda F, Straube, Fernando C, Carbayo, Fernando, Carvalho Filho, Fernando, Zanella, Fernando CV, Jacinavicius, Fernando de C, Farache, Fernando HA, Leivas, Fernando, Dias, Fernando MS, Mantellato, Fernando, Vaz-de-Mello, Fernando Z, Gudin, Filipe M, Albuquerque, Flávio, Molina, Flavio B, Passos, Flávio D, Shockley, Floyd W, Pinheiro, Francielly F, Mello, Francisco de AG de, Nascimento, Francisco E de L, Franco, Francisco L, Oliveira, Francisco L de, Melo, Francisco T de V, Quijano, Freddy RB, Salles, Frederico F, Biffi, Gabriel, Queiroz, Gabriel C, Bizarro, Gabriel L, Hrycyna, Gabriela, Leviski, Gabriela, Powell, Gareth S, Santos, Geane B dos, Morse, Geoffrey E, Brown, George, Mattox, George MT, Zimbrão, Geraldo, Carvalho, Gervásio S, Miranda, Gil FG, Moraes, Gilberto J de, Lourido, Gilcélia M, Neves, Gilmar P, Moreira, Gilson RP, Montingelli, Giovanna G, Maurício, Giovanni N, Marconato, Gláucia, Lopez, Guilherme EL, Silva, Guilherme L da, Muricy, Guilherme, Brito, Guilherme RR, Garbino, Guilherme ST, Flores, Gustavo E, Graciolli, Gustavo, Libardi, Gustavo S, Proctor, Heather C, Gil-Santana, Helcio R, Varella, Henrique R, Escalona, Hermes E, Schmitz, Hermes J, Rodrigues, Higor DD, Galvão Filho, Hilton de C, Quintino, Hingrid YS, Pinto, Hudson A, Rainho, Hugo L, Miyahira, Igor C, Gonçalves, Igor de S, Martins, Inês X, Cardoso, Irene A, Oliveira, Ismael B de, Franz, Ismael, Fernandes, Itanna O, Golfetti, Ivan F, S. Campos-Filho, Ivanklin, Oliveira, Ivo de S, Delabie, Jacques HC, Oliveira, Jader de, Prando, Jadila S, Patton, James L, Bitencourt, Jamille de A, Silva, Janaina M, Santos, Jandir C, Arruda, Janine O, Valderrama, Jefferson S, Dalapicolla, Jeronymo, Oliveira, Jéssica P, Hájek, Jiri, Morselli, João P, Narita, João P, Martin, João PI, Grazia, Jocélia, McHugh, Joe, Cherem, Jorge J, Farias Júnior, José AS, Fernandes, Jose AM, Pacheco, José F, Birindelli, José LO, Rezende, José M, Avendaño, Jose M, Duarte, José M Barbanti, Ribeiro, José R Inácio, Mermudes, José RM, Pujol-Luz, José R, Santos, Josenilson R dos, Câmara, Josenir T, Teixeira, Joyce A, Prado, Joyce R do, Botero, Juan P, Almeida, Julia C, Kohler, Julia, Gonçalves, Julia P, Beneti, Julia S, Donahue, Julian P, Alvim, Juliana, Almeida, Juliana C, Segadilha, Juliana L, Wingert, Juliana M, Barbosa, Julianna F, Ferrer, Juliano, Santos, Juliano F dos, Kuabara, Kamila MD, Nascimento, Karine B, Schoeninger, Karine, Campião, Karla M, Soares, Karla, Zilch, Kássia, Barão, Kim R, Teixeira, Larissa, Sousa, Laura D do NM de, Dumas, Leandro L, Vieira, Leandro M, Azevedo, Leonardo HG, Carvalho, Leonardo S, Souza, Leonardo S de, Rocha, Leonardo SG, Bernardi, Leopoldo FO, Vieira, Letícia M, Johann, Liana, Salvatierra, Lidianne, Oliveira, Livia de M, Loureiro, Lourdes MA El-moor, Barreto, Luana B, Barros, Luana M, Lecci, Lucas, Camargos, Lucas M de, Lima, Lucas RC, Almeida, Lucia M, Martins, Luciana R, Marinoni, Luciane, Moura, Luciano de A, Lima, Luciano, Naka, Luciano N, Miranda, Lucília S, Salik, Lucy M, Bezerra, Luis EA, Silveira, Luis F, Campos, Luiz A, Castro, Luiz AS de, Pinho, Luiz C, Silveira, Luiz FL, Iniesta, Luiz FM, Tencatt, Luiz FC, Simone, Luiz RL, Malabarba, Luiz R, Cruz, Luiza S da, Sekerka, Lukas, Barros, Lurdiana D, Santos, Luziany Q, Skoracki, Maciej, Correia, Maira A, Uchoa, Manoel A, Andrade, Manuella FG, Hermes, Marcel G, Miranda, Marcel S, Araújo, Marcel S de, Monné, Marcela L, Labruna, Marcelo B, Santis, Marcelo D de, Duarte, Marcelo, Knoff, Marcelo, Nogueira, Marcelo, Britto, Marcelo R de, Melo, Marcelo RS de, Carvalho, Marcelo R de, Tavares, Marcelo T, Kitahara, Marcelo V, Justo, Marcia CN, Botelho, Marcia JC, Couri, Márcia S, Borges-Martins, Márcio, Felix, Márcio, Oliveira, Marcio L de, Bologna, Marco A, Gottschalk, Marco S, Tavares, Marcos DS, Lhano, Marcos G, Bevilaqua, Marcus, Santos, Marcus TT, Domingues, Marcus V, Sallum, Maria AM, Digiani, María C, Santarém, Maria CA, Nascimento, Maria C do, Becerril, María de los AM, Santos, Maria EA dos, Passos, Maria I da S dos, Felippe-Bauer, Maria L, Cherman, Mariana A, Terossi, Mariana, Bartz, Marie LC, Barbosa, Marina F de C, Loeb, Marina V, Cohn-Haft, Mario, Cupello, Mario, Martins, Marlúcia B, Christofersen, Martin L, Bento, Matheus, Rocha, Matheus dos S, Martins, Maurício L, Segura, Melissa O, Cardenas, Melissa Q, Duarte, Mércia E, Ivie, Michael A, Mincarone, Michael M, Borges, Michela, Monné, Miguel A, Casagrande, Mirna M, Fernandez, Monica A, Piovesan, Mônica, Menezes, Naércio A, Benaim, Natalia P, Reategui, Natália S, Pedro, Natan C, Pecly, Nathalia H, Ferreira Júnior, Nelson, Silva Júnior, Nelson J da, Perioto, Nelson W, Hamada, Neusa, Degallier, Nicolas, Chao, Ning L, Ferla, Noeli J, Mielke, Olaf HH, Evangelista, Olivia, Shibatta, Oscar A, Oliveira, Otto MP, Albornoz, Pablo CL, Dellapé, Pablo M, Gonçalves, Pablo R, Shimabukuro, Paloma HF, Grossi, Paschoal, Rodrigues, Patrícia E da S, Lima, Patricia OV, Velazco, Paul, Santos, Paula B dos, Araújo, Paula B, Silva, Paula KR, Riccardi, Paula R, Garcia, Paulo C de A, Passos, Paulo GH, Corgosinho, Paulo HC, Lucinda, Paulo, Costa, Paulo MS, Alves, Paulo P, Roth, Paulo R de O, Coelho, Paulo RS, Duarte, Paulo RM, Carvalho, Pedro F de, Gnaspini, Pedro, Souza-Dias, Pedro GB, Linardi, Pedro M, Bartholomay, Pedro R, Demite, Peterson R, Bulirsch, Petr, Boll, Piter K, Pereira, Rachel MM, Silva, Rafael APF, Moura, Rafael B de, Boldrini, Rafael, Silva, Rafaela A da, Falaschi, Rafaela L, Cordeiro, Ralf TS, Mello, Ramon JCL, Singer, Randal A, Querino, Ranyse B, Heleodoro, Raphael A, Castilho, Raphael de C, Constantino, Reginaldo, Guedes, Reinaldo C, Carrenho, Renan, Gomes, Renata S, Gregorin, Renato, Machado, Renato JP, Bérnils, Renato S, Capellari, Renato S, Silva, Ricardo B, Kawada, Ricardo, Dias, Ricardo M, Siewert, Ricardo, Brugnera, Ricaro, Leschen, Richard AB, Constantin, Robert, Robbins, Robert, Pinto, Roberta R, Reis, Roberto E dos, Ramos, Robson T da C, Cavichioli, Rodney R, Barros, Rodolfo C de, Caires, Rodrigo A, Salvador, Rodrigo B, Marques, Rodrigo C, Araújo, Rodrigo C, Araujo, Rodrigo de O, Dios, Rodrigo de VP, Johnsson, Rodrigo, Feitosa, Rodrigo M, Hutchings, Roger W, Lara, Rogéria IR, Rossi, Rogério V, Gerstmeier, Roland, Ochoa, Ronald, Hutchings, Rosa SG, Ale-Rocha, Rosaly, Rocha, Rosana M da, Tidon, Rosana, Brito, Rosangela, Pellens, Roseli, Santos, Sabrina R dos, Santos, Sandra D dos, Paiva, Sandra V, Santos, Sandro, Oliveira, Sarah S de, Costa, Sávio C, Gardner, Scott L, Leal, Sebastián A Muñoz, Aloquio, Sergio, Bonecker, Sergio LC, Bueno, Sergio L de S, Almeida, Sérgio M de, Stampar, Sérgio N, Andena, Sérgio R, Posso, Sergio R, Lima, Sheila P, Gadelha, Sian de S, Thiengo, Silvana C, Cohen, Simone C, Brandão, Simone N, Rosa, Simone P, Ribeiro, Síria LB, Letana, Sócrates D, Santos, Sonia B dos, Andrade, Sonia CS, Dávila, Stephane, Vaz, Stéphanie, Peck, Stewart B, Christo, Susete W, Cunha, Suzan BZ, Gomes, Suzete R, Duarte, Tácio, Madeira-Ott, Taís, Marques, Taísa, Roell, Talita, Lima, Tarcilla C de, Sepulveda, Tatiana A, Maria, Tatiana F, Ruschel, Tatiana P, Rodrigues, Thaiana, Marinho, Thais A, Almeida, Thaís M de, Miranda, Thaís P, Freitas, Thales RO, Pereira, Thalles PL, Zacca, Thamara, Pacheco, Thaynara L, Martins, Thiago F, Alvarenga, Thiago M, Carvalho, Thiago R de, Polizei, Thiago TS, McElrath, Thomas C, Henry, Thomas, Pikart, Tiago G, Porto, Tiago J, Krolow, Tiago K, Carvalho, Tiago P, Lotufo, Tito M da C, Caramaschi, Ulisses, Pinheiro, Ulisses dos S, Pardiñas, Ulyses FJ, Maia, Valéria C, Tavares, Valeria, Costa, Valmir A, Amaral, Vanessa S do, Silva, Vera C, Wolff, Vera R dos S, Slobodian, Verônica, Silva, Vinícius B da, Espíndola, Vinicius C, Costa-Silva, Vinicius da, Bertaco, Vinicius de A, Padula, Vinícius, Ferreira, Vinicius S, Silva, Vitor CP da, Piacentini, Vítor de Q, Sandoval-Gómez, Vivian E, Trevine, Vivian, Sousa, Viviane R, Sant’Anna, Vivianne B de, Mathis, Wayne N, Souza, Wesley de O, Colombo, Wesley D, Tomaszewska, Wioletta, Wosiacki, Wolmar B, Ovando, Ximena MC, and Leite, Yuri LR
Abstract: The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others.
Published: 2024

17. Atherosclerosis on CT coronary angiography and the risk of long-term cardiovascular events after liver transplantation

Author: Sampaio Rodrigues, T, Koshy, AN, Gow, PJ, Weinberg, L, Cailes, B, Testro, A, Smith, G, Lim, HS, Teh, AW, Lim, RP, Farouque, O, Sampaio Rodrigues, T, Koshy, AN, Gow, PJ, Weinberg, L, Cailes, B, Testro, A, Smith, G, Lim, HS, Teh, AW, Lim, RP, and Farouque, O
Abstract: Computed tomography coronary angiography (CTCA) is increasingly utilized for preoperative risk stratification before liver transplantation (LT). We sought to assess the predictors of advanced atherosclerosis on CTCA using the recently developed Coronary Artery Disease-Reporting and Data System (CAD-RADS) score and its impact on the prediction of long-term major adverse cardiovascular events (MACE) following LT. We conducted a retrospective cohort study of consecutive patients who underwent CTCA for LT work-up between 2011 and 2018. Advanced atherosclerosis was defined as coronary artery calcium scores > 400 or CAD-RADS score ≥ 3 (≥50% coronary artery stenosis). MACE was defined as myocardial infarction, heart failure, stroke, or resuscitated cardiac arrest. Overall, 229 patients underwent CTCA (mean age 66 ± 5 y, 82% male). Of these, 157 (68.5%) proceeded with LT. The leading etiology of cirrhosis was hepatitis (47%), and 53% of patients had diabetes before transplant. On adjusted analysis, male sex (OR 4.6, 95% CI 1.5-13.8, p = 0.006), diabetes (OR 2.2, 95% CI 1.2-4.2, p = 0.01) and dyslipidemia (OR 3.1, 95% CI 1.3-6.9, p = 0.005) were predictors of advanced atherosclerosis on CTCA. Thirty-two patients (20%) experienced MACE. At a median follow-up of 4 years, CAD-RADS ≥ 3, but not coronary artery calcium scores, was associated with a heightened risk of MACE (HR 5.8, 95% CI 1.6-20.6, p = 0.006). Based on CTCA results, 71 patients (31%) commenced statin therapy which was associated with a lower risk of all-cause mortality (HR 0.48, 95% CI 0.24-0.97, p = 0.04). The standardized CAD-RADS classification on CTCA predicted the occurrence of cardiovascular outcomes following LT, with a potential to increase the utilization of preventive cardiovascular therapies.
Published: 2024

18. A comprehensive review of carbon capture science and technologies

Author: Wu, C, Huang, Q, Xu, Z, Sipra, AT, Gao, N, Vandenberghe, LPDS, Vieira, S, Soccol, CR, Zhao, R, Deng, S, Boetcher, SKS, Lu, S, Shi, H, Zhao, D, Xing, Y, Chen, Y, Zhu, J, Feng, D, Zhang, Y, Deng, L, Hu, G, Webley, PA, Liang, D, Ba, Z, Mlonka-Medrala, A, Magdziarz, A, Miskolczi, N, Tomasek, S, Lam, SS, Foong, SY, Ng, HS, Jiang, L, Yan, X, Liu, Y, Ji, Y, Sun, H, Yang, H, Zhang, X, Sun, M, Tsang, DCW, Shang, J, Muller, C, Rekhtina, M, Krodel, M, Bork, AH, Donat, F, Liu, L, Jin, X, Liu, W, Saqline, S, Wu, X, Xu, Y, Khan, AL, Ali, Z, Lin, H, Hu, L, Huang, J, Singh, R, Wang, K, He, X, Dai, Z, Yi, S, Konist, A, Baqain, MHS, Zhao, Y, Sun, S, Chen, G, Tu, X, Weidenkaff, A, Kawi, S, Lim, KH, Song, C, Yang, Q, Zhao, Z, Gao, X, Jiang, X, Ji, H, Akinola, TE, Lawal, A, Otitoju, OS, Wang, M, Zhang, G, Ma, L, Sempuga, BC, Liu, X, Oko, E, Daramola, M, Yu, Z, Chen, S, Kang, G, Li, Q, Gao, L, Zhou, H, Wu, C, Huang, Q, Xu, Z, Sipra, AT, Gao, N, Vandenberghe, LPDS, Vieira, S, Soccol, CR, Zhao, R, Deng, S, Boetcher, SKS, Lu, S, Shi, H, Zhao, D, Xing, Y, Chen, Y, Zhu, J, Feng, D, Zhang, Y, Deng, L, Hu, G, Webley, PA, Liang, D, Ba, Z, Mlonka-Medrala, A, Magdziarz, A, Miskolczi, N, Tomasek, S, Lam, SS, Foong, SY, Ng, HS, Jiang, L, Yan, X, Liu, Y, Ji, Y, Sun, H, Yang, H, Zhang, X, Sun, M, Tsang, DCW, Shang, J, Muller, C, Rekhtina, M, Krodel, M, Bork, AH, Donat, F, Liu, L, Jin, X, Liu, W, Saqline, S, Wu, X, Xu, Y, Khan, AL, Ali, Z, Lin, H, Hu, L, Huang, J, Singh, R, Wang, K, He, X, Dai, Z, Yi, S, Konist, A, Baqain, MHS, Zhao, Y, Sun, S, Chen, G, Tu, X, Weidenkaff, A, Kawi, S, Lim, KH, Song, C, Yang, Q, Zhao, Z, Gao, X, Jiang, X, Ji, H, Akinola, TE, Lawal, A, Otitoju, OS, Wang, M, Zhang, G, Ma, L, Sempuga, BC, Liu, X, Oko, E, Daramola, M, Yu, Z, Chen, S, Kang, G, Li, Q, Gao, L, and Zhou, H
Published: 2024

19. Detection of Sulfoquinovosidase Activity in Cell Lysates Using Activity‐Based Probes

Author: Li, Z, Pickles, IB, Sharma, M, Melling, B, Pallasdies, L, Codée, JDC, Williams, SJ, Overkleeft, HS, Davies, GJ, Li, Z, Pickles, IB, Sharma, M, Melling, B, Pallasdies, L, Codée, JDC, Williams, SJ, Overkleeft, HS, and Davies, GJ
Abstract: The sulfolipid sulfoquinovosyl diacylglycerol (SQDG), produced by plants, algae, and cyanobacteria, constitutes a major sulfur reserve in the biosphere. Microbial breakdown of SQDG is critical for the biological utilization of its sulfur. This commences through release of the parent sugar, sulfoquinovose (SQ), catalyzed by sulfoquinovosidases (SQases). These vanguard enzymes are encoded in gene clusters that code for diverse SQ catabolic pathways. To identify, visualize and isolate glycoside hydrolase CAZY‐family 31 (GH31) SQases in complex biological environments, we introduce SQ cyclophellitol‐aziridine activity‐based probes (ABPs). These ABPs label the active site nucleophile of this enzyme family, consistent with specific recognition of the SQ cyclophellitol‐aziridine in the active site, as evidenced in the 3D structure of Bacillus megaterium SQase. A fluorescent Cy5‐probe enables visualization of SQases in crude cell lysates from bacteria harbouring different SQ breakdown pathways, whilst a biotin‐probe enables SQase capture and identification by proteomics. The Cy5‐probe facilitates monitoring of active SQase levels during different stages of bacterial growth which show great contrast to more traditional mRNA analysis obtained by RT‐qPCR. Given the importance of SQases in global sulfur cycling and in human microbiota, these SQase ABPs provide a new tool with which to study SQase occurrence, activity and stability.
Published: 2024

20. Are we really Bayesian? Probabilistic inference shows sub-optimal knowledge transfer

Author: Marinazzo, D, Lin, C-HS, Do, TT, Unsworth, L, Garrido, MI, Marinazzo, D, Lin, C-HS, Do, TT, Unsworth, L, and Garrido, MI
Abstract: Numerous studies have found that the Bayesian framework, which formulates the optimal integration of the knowledge of the world (i.e. prior) and current sensory evidence (i.e. likelihood), captures human behaviours sufficiently well. However, there are debates regarding whether humans use precise but cognitively demanding Bayesian computations for behaviours. Across two studies, we trained participants to estimate hidden locations of a target drawn from priors with different levels of uncertainty. In each trial, scattered dots provided noisy likelihood information about the target location. Participants showed that they learned the priors and combined prior and likelihood information to infer target locations in a Bayes fashion. We then introduced a transfer condition presenting a trained prior and a likelihood that has never been put together during training. How well participants integrate this novel likelihood with their learned prior is an indicator of whether participants perform Bayesian computations. In one study, participants experienced the newly introduced likelihood, which was paired with a different prior, during training. Participants changed likelihood weighting following expected directions although the degrees of change were significantly lower than Bayes-optimal predictions. In another group, the novel likelihoods were never used during training. We found people integrated a new likelihood within (interpolation) better than the one outside (extrapolation) the range of their previous learning experience and they were quantitatively Bayes-suboptimal in both. We replicated the findings of both studies in a validation dataset. Our results showed that Bayesian behaviours may not always be achieved by a full Bayesian computation. Future studies can apply our approach to different tasks to enhance the understanding of decision-making mechanisms.
Published: 2024

21. Trimethoprim-sulfamethoxazole acute respiratory distress syndrome requiring lung transplantation.

Author: Donnan, M, Siemienowicz, M, Tay, HS, McLean, C, Philpot, S, Mason, C, Snell, G, Glaspole, I, Stirling, RG, Donnan, M, Siemienowicz, M, Tay, HS, McLean, C, Philpot, S, Mason, C, Snell, G, Glaspole, I, and Stirling, RG
Abstract: Trimethoprim-sulfamethoxazole (TMP-SMX) acute respiratory distress syndrome (ARDS) is a rare, but severe complication of a commonly prescribed antibiotic. TMP-SMX typically affects young, otherwise well patients with a specific human leukocyte antigen type (HLA-B*07:02 and HLA-C*07:02). The condition is poorly understood with a unique pathological appearance and mechanism that remains unclear. Mortality rate is greater than one third. We describe the case of a previously well 18-year-old woman treated with a prolonged course of TMP-SMX for a complex urinary tract infection who developed rapidly progressive respiratory failure requiring prolonged intensive care admission, extra-corporeal membranous oxygenation, and eventual lung transplantation. No targeted treatment exists, further research is required to better understand disease pathogenetic mechanisms and potential therapeutic interventions.
Published: 2024

22. HOPX-associated molecular programs control cardiomyocyte cell states underpinning cardiac structure and function

Author: Friedman, CE, Cheetham, SW, Negi, S, Mills, RJ, Ogawa, M, Redd, MA, Chiu, HS, Shen, S, Sun, Y, Mizikovsky, D, Bouveret, R, Chen, X, Voges, HK, Paterson, S, De Angelis, JE, Andersen, SB, Cao, Y, Wu, Y, Jafrani, YMA, Yoon, S, Faulkner, GJ, Smith, KA, Porrello, E, Harvey, RP, Hogan, BM, Nguyen, Q, Zeng, J, Kikuchi, K, Hudson, JE, Palpant, NJ, Friedman, CE, Cheetham, SW, Negi, S, Mills, RJ, Ogawa, M, Redd, MA, Chiu, HS, Shen, S, Sun, Y, Mizikovsky, D, Bouveret, R, Chen, X, Voges, HK, Paterson, S, De Angelis, JE, Andersen, SB, Cao, Y, Wu, Y, Jafrani, YMA, Yoon, S, Faulkner, GJ, Smith, KA, Porrello, E, Harvey, RP, Hogan, BM, Nguyen, Q, Zeng, J, Kikuchi, K, Hudson, JE, and Palpant, NJ
Abstract: Genomic regulation of cardiomyocyte differentiation is central to heart development and function. This study uses genetic loss-of-function human-induced pluripotent stem cell-derived cardiomyocytes to evaluate the genomic regulatory basis of the non-DNA-binding homeodomain protein HOPX. We show that HOPX interacts with and controls cardiac genes and enhancer networks associated with diverse aspects of heart development. Using perturbation studies in vitro, we define how upstream cell growth and proliferation control HOPX transcription to regulate cardiac gene programs. We then use cell, organoid, and zebrafish regeneration models to demonstrate that HOPX-regulated gene programs control cardiomyocyte function in development and disease. Collectively, this study mechanistically links cell signaling pathways as upstream regulators of HOPX transcription to control gene programs underpinning cardiomyocyte identity and function.
Published: 2024

23. Interdisciplinary innovation involving food science and physics: Food Physics

Author: Ma, H, Tang, J, Ramaswamy, HS, Ashokkumar, M, Pan, Z, Ma, H, Tang, J, Ramaswamy, HS, Ashokkumar, M, and Pan, Z
Published: 2024

24. Strategies for optimising early detection and obstetric first response management of postpartum haemorrhage at caesarean birth: a modified Delphi-based international expert consensus.

Author: Pingray, V, Williams, CR, Al-Beity, FMA, Abalos, E, Arulkumaran, S, Blumenfeld, A, Carvalho, B, Deneux-Tharaux, C, Downe, S, Dumont, A, Escobar, MF, Evans, C, Fawcus, S, Galadanci, HS, Hoang, D-TT, Hofmeyr, GJ, Homer, C, Lewis, AG, Liabsuetrakul, T, Lumbiganon, P, Main, EK, Maua, J, Muriithi, FG, Nabhan, AF, Nunes, I, Ortega, V, Phan, TNQ, Qureshi, ZP, Sosa, C, Varallo, J, Weeks, AD, Widmer, M, Oladapo, OT, Gallos, I, Coomarasamy, A, Miller, S, Althabe, F, Pingray, V, Williams, CR, Al-Beity, FMA, Abalos, E, Arulkumaran, S, Blumenfeld, A, Carvalho, B, Deneux-Tharaux, C, Downe, S, Dumont, A, Escobar, MF, Evans, C, Fawcus, S, Galadanci, HS, Hoang, D-TT, Hofmeyr, GJ, Homer, C, Lewis, AG, Liabsuetrakul, T, Lumbiganon, P, Main, EK, Maua, J, Muriithi, FG, Nabhan, AF, Nunes, I, Ortega, V, Phan, TNQ, Qureshi, ZP, Sosa, C, Varallo, J, Weeks, AD, Widmer, M, Oladapo, OT, Gallos, I, Coomarasamy, A, Miller, S, and Althabe, F
Abstract: OBJECTIVE: There are no globally agreed on strategies on early detection and first response management of postpartum haemorrhage (PPH) during and after caesarean birth. Our study aimed to develop an international expert's consensus on evidence-based approaches for early detection and obstetric first response management of PPH intraoperatively and postoperatively in caesarean birth. DESIGN: Systematic review and three-stage modified Delphi expert consensus. SETTING: International. POPULATION: Panel of 22 global experts in PPH with diverse backgrounds, and gender, professional and geographic balance. OUTCOME MEASURES: Agreement or disagreement on strategies for early detection and first response management of PPH at caesarean birth. RESULTS: Experts agreed that the same PPH definition should apply to both vaginal and caesarean birth. For the intraoperative phase, the experts agreed that early detection should be accomplished via quantitative blood loss measurement, complemented by monitoring the woman's haemodynamic status; and that first response should be triggered once the woman loses at least 500 mL of blood with continued bleeding or when she exhibits clinical signs of haemodynamic instability, whichever occurs first. For the first response, experts agreed on immediate administration of uterotonics and tranexamic acid, examination to determine aetiology and rapid initiation of cause-specific responses. In the postoperative phase, the experts agreed that caesarean birth-related PPH should be detected primarily via frequently monitoring the woman's haemodynamic status and clinical signs and symptoms of internal bleeding, supplemented by cumulative blood loss assessment performed quantitatively or by visual estimation. Postoperative first response was determined to require an individualised approach. CONCLUSION: These agreed on proposed approaches could help improve the detection of PPH in the intraoperative and postoperative phases of caesarean birth and the first
Published: 2024

25. Strategies for optimising early detection and obstetric first response management of postpartum haemorrhage at caesarean birth: a modified Delphi-based international expert consensus.

Author: Pingray, V, Williams, CR, Al-Beity, FMA, Abalos, E, Arulkumaran, S, Blumenfeld, A, Carvalho, B, Deneux-Tharaux, C, Downe, S, Dumont, A, Escobar, MF, Evans, C, Fawcus, S, Galadanci, HS, Hoang, D-TT, Hofmeyr, GJ, Homer, C, Lewis, AG, Liabsuetrakul, T, Lumbiganon, P, Main, EK, Maua, J, Muriithi, FG, Nabhan, AF, Nunes, I, Ortega, V, Phan, TNQ, Qureshi, ZP, Sosa, C, Varallo, J, Weeks, AD, Widmer, M, Oladapo, OT, Gallos, I, Coomarasamy, A, Miller, S, Althabe, F, Pingray, V, Williams, CR, Al-Beity, FMA, Abalos, E, Arulkumaran, S, Blumenfeld, A, Carvalho, B, Deneux-Tharaux, C, Downe, S, Dumont, A, Escobar, MF, Evans, C, Fawcus, S, Galadanci, HS, Hoang, D-TT, Hofmeyr, GJ, Homer, C, Lewis, AG, Liabsuetrakul, T, Lumbiganon, P, Main, EK, Maua, J, Muriithi, FG, Nabhan, AF, Nunes, I, Ortega, V, Phan, TNQ, Qureshi, ZP, Sosa, C, Varallo, J, Weeks, AD, Widmer, M, Oladapo, OT, Gallos, I, Coomarasamy, A, Miller, S, and Althabe, F
Abstract: OBJECTIVE: There are no globally agreed on strategies on early detection and first response management of postpartum haemorrhage (PPH) during and after caesarean birth. Our study aimed to develop an international expert's consensus on evidence-based approaches for early detection and obstetric first response management of PPH intraoperatively and postoperatively in caesarean birth. DESIGN: Systematic review and three-stage modified Delphi expert consensus. SETTING: International. POPULATION: Panel of 22 global experts in PPH with diverse backgrounds, and gender, professional and geographic balance. OUTCOME MEASURES: Agreement or disagreement on strategies for early detection and first response management of PPH at caesarean birth. RESULTS: Experts agreed that the same PPH definition should apply to both vaginal and caesarean birth. For the intraoperative phase, the experts agreed that early detection should be accomplished via quantitative blood loss measurement, complemented by monitoring the woman's haemodynamic status; and that first response should be triggered once the woman loses at least 500 mL of blood with continued bleeding or when she exhibits clinical signs of haemodynamic instability, whichever occurs first. For the first response, experts agreed on immediate administration of uterotonics and tranexamic acid, examination to determine aetiology and rapid initiation of cause-specific responses. In the postoperative phase, the experts agreed that caesarean birth-related PPH should be detected primarily via frequently monitoring the woman's haemodynamic status and clinical signs and symptoms of internal bleeding, supplemented by cumulative blood loss assessment performed quantitatively or by visual estimation. Postoperative first response was determined to require an individualised approach. CONCLUSION: These agreed on proposed approaches could help improve the detection of PPH in the intraoperative and postoperative phases of caesarean birth and the first
Published: 2024

26. Visual impairment among diabetes patients in Ethiopia: A systematic review and meta-analysis.

Author: Shaka, MF, Aytenew, TM, Kefale, D, Birhane, BM, Kebede, SD, Asferie, WN, Hailemeskel, HS, Kassaw, A, Asnakew, S, Kassie, YT, Mekonnen, GB, Kebede, M, Eshetie, Y, Ejigu, N, Zeleke, S, Agimas, MC, Simegn, A, Shaka, MF, Aytenew, TM, Kefale, D, Birhane, BM, Kebede, SD, Asferie, WN, Hailemeskel, HS, Kassaw, A, Asnakew, S, Kassie, YT, Mekonnen, GB, Kebede, M, Eshetie, Y, Ejigu, N, Zeleke, S, Agimas, MC, and Simegn, A
Abstract: INTRODUCTION: The increased prevalence of visual impairment among diabetes patients has become a major global public health problem. Although numerous primary studies have been conducted to determine the prevalence of visual impairment and its associated factors among diabetes patients in Ethiopia, these studies presented inconsistent findings. Therefore, this review aimed to determine the pooled prevalence of visual impairment and identify associated factors among diabetes patients. METHODS: An extensive search of literature was done on PubMed, Google Scholar, and Web of Sciences databases. A manual search of the reference lists of included studies was performed. A weighted inverse-variance random-effects model was used to calculate the pooled prevalence of visual impairment. RESULTS: A total of 34 eligible primary studies with a sample size of 11,884 participants were included in the final meta-analysis. The pooled prevalence of visual impairment was 21.73% (95% CI: 18.15, 25.30; I2 = 96.47%; P<0.001). Diabetes mellitus with a duration of diagnosis ≥10 years [AOR = 3.18, 95% CI: 1.85, 5.49], presence of co-morbid hypertension [AOR = 3.26, 95% CI: 1.93, 5.50], poor glycemic control [AOR = 4.30, 95% CI: 3.04, 6.06], age ≥56 years [AOR = 4.13, 95% CI: 2.27, 7.52], family history of diabetes mellitus [AOR = 4.18 (95% CI: 2.61, 6.69], obesity [AOR = 4.77, 95% CI: 3.00, 7.59], poor physical activity [AOR = 2.46, 95% CI: 1.75, 3.46], presence of visual symptoms [AOR = 4.28, 95% CI: 2.73, 6.69] and no history of eye exam [AOR = 2.30, 95% CI: 1.47, 3.57] were significantly associated with visual impairment. CONCLUSIONS: The pooled prevalence of visual impairment was high in Ethiopia. Diabetes mellitus with a duration of diagnosis ≥10 years, presence of co-morbid hypertension, poor glycemic control, age ≥56 years, and family history of diabetes mellitus, obesity, poor physical activity, presence of visual symptoms, and no history of eye exam were independent predictors. The
Published: 2024

27. Sensitivity to Morphological Spelling Regularities in Chinese-English Bilinguals and English Monolinguals

Author: Iwao, HS, Andrews, S, Veldre, A, Iwao, HS, Andrews, S, and Veldre, A
Abstract: Evidence of sensitivity to graphotactic and morphological patterns in English spelling has been extensively examined in monolinguals. Comparatively few studies have examined bilinguals’ sensitivity to spelling regularities. The present study compared late Chinese-English bilinguals and English monolinguals on their sensitivity to systematic inflectional and derivational spelling regularities. One hundred and twenty-nine undergraduate students completed a forced-choice spelling task, in which nonword pairs were presented in a sentence context requiring a choice of the relevant grammatical form. English ability measures were administered to examine possible inter-individual differences in morphological sensitivity. The results showed that both monolinguals and bilinguals demonstrated knowledge of spelling patterns, but the groups differed in their sensitivity to inflectional and derivational spelling regularities. Specifically, bilinguals showed more consistent use of morphological spelling regularities in guiding their decision on spelling choice compared to monolinguals. The results are argued to be consistent with the predictions of statistical learning accounts of spelling acquisition.
Published: 2024

28. Junior High School Principal's Strategy in Preparing the Generation to Face the Era of Society 5.0

Author: Then, Yoana Merilla Kurniawan, HS, Sufyati, Ramdhani, Sendi, Then, Yoana Merilla Kurniawan, HS, Sufyati, and Ramdhani, Sendi
Abstract: This research was conducted at Parahyangan Mulia Junior High School. The research subject is the principal of Parahyangan Mulia Junior High School Tasikmalaya because the principal is a leader and policy maker at school and must have a specific strategy regarding every policy he takes to deliver those goals. The goal of this research is to analyze the strategy used by the principal in preparing the generation to enter the era of society 5.0. A qualitative approach was employed in this research, and interviews, observations, and literature reviews were used as data collection techniques. The informants were the principal, head of the school team, teachers, and Parahyangan Mulia Junior High School students. The result of this research is the strategy of the principal in preparing the generation for the era of Society 5.0 is carried out through the development of the school's human resource program (character program, STEAM, and life skills) and cooperation with the stakeholders who have the same goals with the school. By implementing this strategy, the abilities of Parahyangan Mulia Junior High School students have increasingly developed according to the personality expected in the era of society 5.0, namely creative, critical, communicative, and collaborative.
Published: 2024

29. Effect of YSZ Particle Size and Content on Microstructure, Mechanical and Tribological Properties of (CoCrFeNiAl)1−x(YSZ)x High Entropy Alloy Composites

Author: Ghanbariha, M, Farvizi, M, Ataie, SA, Alizadeh Samiyan, A, Liskiewicz, T, Kim, HS, Ghanbariha, M, Farvizi, M, Ataie, SA, Alizadeh Samiyan, A, Liskiewicz, T, and Kim, HS
Abstract: High entropy alloy composites (HEACs) have recently been explored for use in industrial applications. This study investigates the impact of particle size (micro or nano) and content (5 and 10 wt%) of YSZ on the microstructure and tribological properties of AlCoCrFeNi. The samples were prepared using a combination of mechanical alloying and spark plasma sintering. XRD results and Rietveld analysis reveal that HEACs with micro-sized YSZ have a higher BCC/FCC ratio. FESEM and EDS results confirmed the evolution of Al-rich regions in the vicinity of the reinforcements. Especially, in HEA-10NanoYSZ-sample, due to higher interfacial regions, a huge amount of Al-rich phase has been formed which yields the reduction of BCC phase content in this sample. Microhardness and pin-on-disc wear tests show that the samples reinforced with microparticles demonstrate better performance compared to nanocomposite samples. For example, HEA-10MicroYSZ-sample exhibits the highest hardness (5.1 GPa) and the lowest wear characteristics (with a coefficient of friction of 0.8 and a wear rate of 4 × 10−4 mm3/N.m). This can be correlated to the higher hardness and BCC phase content, and grain boundary strengthening in the microcomposites.
Published: 2024

30. Sensitivity to Morphological Spelling Regularities in Chinese-English Bilinguals and English Monolinguals

Author: Iwao, HS, Andrews, S, Veldre, A, Iwao, HS, Andrews, S, and Veldre, A
Published: 2024

31. Autism-related dietary preferences mediate autism-gut microbiome associations.

Author: Yap, CX, Henders, AK, Alvares, GA, Wood, DLA, Krause, L, Tyson, GW, Restuadi, R, Wallace, L, McLaren, T, Hansell, NK, Cleary, D, Grove, R, Hafekost, C, Harun, A, Holdsworth, H, Jellett, R, Khan, F, Lawson, LP, Leslie, J, Frenk, ML, Masi, A, Mathew, NE, Muniandy, M, Nothard, M, Miller, JL, Nunn, L, Holtmann, G, Strike, LT, de Zubicaray, GI, Thompson, PM, McMahon, KL, Wright, MJ, Visscher, PM, Dawson, PA, Dissanayake, C, Eapen, V, Heussler, HS, McRae, AF, Whitehouse, AJO, Wray, NR, Gratten, J, Yap, CX, Henders, AK, Alvares, GA, Wood, DLA, Krause, L, Tyson, GW, Restuadi, R, Wallace, L, McLaren, T, Hansell, NK, Cleary, D, Grove, R, Hafekost, C, Harun, A, Holdsworth, H, Jellett, R, Khan, F, Lawson, LP, Leslie, J, Frenk, ML, Masi, A, Mathew, NE, Muniandy, M, Nothard, M, Miller, JL, Nunn, L, Holtmann, G, Strike, LT, de Zubicaray, GI, Thompson, PM, McMahon, KL, Wright, MJ, Visscher, PM, Dawson, PA, Dissanayake, C, Eapen, V, Heussler, HS, McRae, AF, Whitehouse, AJO, Wray, NR, and Gratten, J
Abstract: (Cell 184, 5916–5931; November 24, 2021) Our paper reported evidence that autism-related dietary preferences mediate autism-microbiome associations. Since publication, we have become aware of an error in our paper that we are now correcting. Specifically, in the code we wrote and used to transform the microbiome count matrices in our variance component analysis, we inadvertently missed a matrix transposition, which affected their centered-log-ratio (clr) transformation and affected variance estimates in Figure 2 and Table S1 (listed in detail below). By missing the matrix transposition, we incorrectly calculated the geometric mean per-taxa rather than per-individual. However, the error does not affect the conclusions of the paper because the per-taxa and per-individual geometric means are similar, and so the resulting clr transformed matrices are similar as well (note that the clr transform should take the quotient of a microbiome/taxa quantity by the geometric mean of microbiome quantities across the sample/individual). To show that this is the case, we compared the correctly (geometric mean calculated per-individual) and incorrectly (geometric mean calculated per-taxa) clr transformed matrices by taking the nth column of both matrices (representing each of 247 individuals’ microbiome data) and calculating the Pearson's correlation coefficient between them. The median Pearson's correlation coefficient ranged from 0.90–0.94 for the common species, rare species, common genes, and rare genes matrices. As the correctly and incorrectly transformed matrices are highly correlated, this error has negligible impact on the variance component analysis results and does not change the overall conclusions of our work. The code error did not affect which microbiome features were identified as being differentially abundant, as the method used for this analysis (ANCOMv2.1) takes un-transformed count data as input. However, the data visualization for this analysis was affected with
Published: 2024

32. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Brauer, M, Roth, GA, Aravkin, AY, Zheng, P, Abate, KH, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasi, MA, Abbasian, M, Abbasifard, M, Moradi, Y, Bensenor, IM, Benzian, H, Beran, A, Abouzid, M, Berezvai, Z, Bernabe, E, Bernstein, RS, Bettencourt, PJG, Bhagavathula, AS, Bhala, N, Moraga, P, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Aboye, GB, Bhat, AN, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Morawska, L, Bhatti, R, Bhuiyan, MA, Bhutta, ZA, Bikbov, B, Bishai, JD, Abreu, LG, Bisignano, C, Biswas, A, Biswas, B, Biswas, RK, Moreira, RS, Bjørge, T, Boachie, MK, Boakye, H, Bockarie, MJ, Bodolica, V, Bodunrin, AO, Abualruz, H, Bogale, EK, Bolla, SR, Boloor, A, Morovatdar, N, Bonakdar Hashemi, M, Boppana, SH, Bora Basara, B, Borhany, H, Botero Carvajal, A, Bouaoud, S, Boufous, S, Abubakar, B, Bourne, R, Boxe, C, Morrison, SD, Braithwaite, D, Brant, LC, Brar, A, Breitborde, NJK, Breitner, S, Brenner, H, Briko, AN, Britton, G, Abu-Gharbieh, E, Brown, CS, Morze, J, Browne, AJ, Brunoni, AR, Bryazka, D, Bulamu, NB, Bulto, LN, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Abukhadijah, HJJ, Mosaddeghi Heris, R, Bustanji, Y, Butt, NS, Butt, ZA, Caetano dos Santos, FL, Cagney, J, Cahuana-Hurtado, L, Calina, D, Cámera, LA, Campos, LA, Campos-Nonato, IR, Mossialos, E, Aburuz, S, Cao, C, Cao, F, Cao, Y, Capodici, A, Cárdenas, R, Carr, S, Carreras, G, Carrero, JJ, Carugno, A, Motappa, R, Carvalho, F, Abu-Zaid, A, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Catapano, AL, Cattaruzza, MS, Caye, A, Alemayohu, MA, Ali, BA, Cederroth, CR, Cegolon, L, Adane, MM, Cenderadewi, M, Cercy, KM, Cerin, E, Chadwick, J, Chakraborty, C, Chakraborty, PA, Chakraborty, S, Mougin, V, Chan, JSK, Chan, RNC, Chandan, JS, Addo, IY, Chandika, RM, Chaturvedi, P, Chen, A-T, Chen, CS, Chen, H, Chen, MX, Mousavi, P, Chen, M, Chen, S, Cheng, C-Y, Cheng, ETW, Addolorato, G, Cherbuin, N, Chi, G, Chichagi, F, Chimed-Ochir, O, Chimoriya, R, Msherghi, A, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, WCS, Chong, B, Adedoyin, RA, Chopra, H, Chowdhury, R, Christopher, DJ, Chu, D-T, Mubarik, S, Chukwu, IS, Chung, E, Chung, S-C, Chutiyami, M, Cioffi, I, Cogen, RM, Adekanmbi, V, Cohen, AJ, Columbus, A, Conde, J, Muccioli, L, Corlateanu, A, Cortese, S, Cortesi, PA, Costa, VM, Costanzo, S, Criqui, MH, Cruz, JA, Aden, B, Cruz-Martins, N, Culbreth, GT, Mueller, UO, da Silva, AG, Dadras, O, Dai, X, Dai, Z, Daikwo, PU, Dalli, LL, Damiani, G, D'Amico, E, Adetunji, JB, D'Anna, L, Mulita, F, Darwesh, AM, Das, JK, Das, S, Dash, NR, Dashti, M, Dávila-Cervantes, CA, Davis Weaver, N, Davitoiu, DV, De la Hoz, FP, Adeyeoluwa, TE, Mullany, EC, de la Torre-Luque, A, De Leo, D, Debopadhaya, S, Degenhardt, L, Del Bo', C, Delgado-Enciso, I, Delgado-Saborit, JM, Demoze, CK, Denova-Gutiérrez, E, Dervenis, N, Munjal, K, Adha, R, Dervišević, E, Desai, HD, Desai, R, Devanbu, VGC, Dewan, SMR, Dhali, A, Dhama, K, Dhane, AS, Dhimal, ML, Marx, W, Murillo-Zamora, E, Dhimal, M, Adibi, A, Dhingra, S, Dhulipala, VR, Dhungana, RR, Dias da Silva, D, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Abbasi-Kangevari, M, Ding, DD, Dinu, M, Adnani, QES, Djalalinia, S, Do, TC, Do, THP, do Prado, CB, Dodangeh, M, Dohare, S, Dokova, KG, Ali, I, Dong, W, Dongarwar, D, D'Oria, M, Adzigbli, LA, Dorostkar, F, Dorsey, ER, Doshi, R, Doshmangir, L, Dowou, RK, Driscoll, TR, Murlimanju, BV, Dsouza, AC, Dsouza, HL, Dumith, SC, Duncan, BB, Afolabi, AA, Duraes, AR, Duraisamy, S, Dushpanova, A, Dzianach, PA, Dziedzic, AM, Musina, A-M, Ebrahimi, A, Echieh, CP, Ed-Dra, A, Edinur, HA, Edvardsson, D, Afolabi, RF, Edvardsson, K, Efendi, F, Eftekharimehrabad, A, Eini, E, Mustafa, G, Ekholuenetale, M, Ekundayo, TC, El Arab, RA, El Sayed Zaki, M, El-Dahiyat, F, Elemam, NM, Afshin, A, Elgar, FJ, ElGohary, GMT, Elhabashy, HR, Muthu, S, Elhadi, M, Elmehrath, AO, Elmeligy, OAA, Elshaer, M, Elsohaby, I, Emeto, TI, Esfandiari, N, Afyouni, S, Eshrati, B, Eslami, M, Muthupandian, S, Esmaeili, SV, Estep, K, Etaee, F, Fabin, N, Fagbamigbe, AF, Fagbule, OF, Fahimi, S, Falzone, L, Afzal, MS, Fareed, M, Muthusamy, R, Farinha, CSES, Faris, MEM, Faris, PS, Faro, A, Fasina, FO, Fatehizadeh, A, Fauk, NK, Fazylov, T, Feigin, VL, Afzal, S, Muzaffar, M, Feng, X, Fereshtehnejad, S-M, Feroze, AH, Ferrara, P, Ferrari, AJ, Ferreira, N, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Maryam, S, Myung, W, Agampodi, SB, Fitriana, I, Flavel, J, Flohr, C, Flood, D, Flor, LS, Foigt, NA, Folayan, MO, Force, LM, Fortuna, D, Nafei, A, Foschi, M, Agbozo, F, Franklin, RC, Freitas, A, Friedman, SD, Fux, B, G, S, Gaal, PA, Gaihre, S, Gajdács, M, Nagarajan, AJ, Galali, Y, Gallus, S, Aghamiri, S, Gandhi, AP, Ganesan, B, Ganiyani, MA, Garcia, V, Gardner, WM, Garg, RK, Gautam, RK, Ali, L, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Agodi, A, Gebremariam, TBB, Gebremeskel, TG, Gerema, U, Getacher, L, Getahun, GKA, Getie, M, Nagaraju, SP, Ghadirian, F, Ghafarian, S, Ghaffari Jolfayi, A, Ghailan, KY, Agrawal, A, Ghajar, A, Ghasemi, M, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghassemi, F, Nagel, G, Ghazy, RM, Gholami, A, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Agyemang-Duah, W, Gil, AU, Gil, GF, Gilbertson, NM, Gill, PS, Naghavi, M, Gill, TK, Gindaba, EZ, Girmay, A, Glasbey, JC, Gnedovskaya, EV, Göbölös, L, Ahinkorah, BO, Godinho, MA, Goel, A, Golechha, M, Naghavi, P, Goleij, P, Golinelli, D, Gomes, NGM, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Ahmad, A, Gouravani, M, Goyal, A, Naik, GR, Graham, SM, Grivna, M, Grosso, G, Guan, S-Y, Guarducci, G, Gubari, MIM, Guha, A, Guicciardi, S, Ahmad, D, Gulati, S, Naik, G, Gulisashvili, D, Gunawardane, DA, Guo, C, Gupta, AK, Gupta, B, Gupta, M, Gupta, R, Gupta, RD, Ahmad, F, Mathangasinghe, Y, Nainu, F, Gupta, S, Gupta, VB, Gupta, VK, Habibzadeh, F, Habibzadeh, P, Hadaro, TS, Hadian, Z, Haep, N, Haghi-Aminjan, H, Nair, TS, Ahmad, N, Haghmorad, D, Hagins, H, Haile, D, Hailu, A, Hajj Ali, A, Halboub, ES, Halimi, A, Hall, BJ, Haller, S, Najdaghi, S, Halwani, R, Ahmad, S, Hamadeh, RR, Hamdy, NM, Hameed, S, Hamidi, S, Hammoud, A, Hanif, A, Hanifi, N, Haq, ZA, Nakhostin Ansari, N, Haque, MR, Harapan, H, Ahmad, T, Hargono, A, Haro, JM, Hasaballah, AI, Hasan, I, Hasan, MJ, Hasan, SMM, Hasani, H, Ali, MU, Hasanian, M, Hashmeh, N, Hasnain, MS, Ahmed, A, Hassan, A, Hassan, I, Hassan Zadeh Tabatabaei, MS, Hassani, S, Hassanipour, S, Hassankhani, H, Nanavaty, DP, Haubold, J, Havmoeller, RJ, Hay, SI, Hebert, JJ, Hegazi, OE, Hegena, TY, Heidari, G, Heidari, M, Helfer, B, Nangia, V, Hemmati, M, Henson, CA, Herbert, ME, Herteliu, C, Heuer, A, Hezam, K, Hinneh, TK, Hiraike, Y, Hoan, NQ, Narasimha Swamy, S, Holla, R, Hon, J, Hoque, ME, Horita, N, Hossain, S, Hosseini, SE, Ahmed, LA, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, M, Narimani Davani, D, Hostiuc, S, Hoven, H, Hsairi, M, Hsu, JM, Hu, C, Huang, J, Huda, MN, Ahmed, MB, Hulland, EN, Hultström, M, Nascimento, BR, Hushmandi, K, Hussain, J, Hussein, NR, Huynh, CK, Huynh, H-H, Ibitoye, SE, Idowu, OO, Ihler, AL, Ahmed, S, Ikeda, N, Mathioudakis, AG, Nascimento, GG, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Inbaraj, LR, Irham, LM, Isa, MA, Ahmed, SA, Nashwan, AJ, Islam, MR, Ismail, F, Ismail, NE, Iso, H, Isola, G, Iwagami, M, Iwu, CCD, Iwu-Jaja, CJ, J, V, Jaafari, J, Natto, ZS, Ajami, M, Jacob, L, Jacobsen, KH, Jadidi-Niaragh, F, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, A, Jain, N, Jairoun, AA, Nauman, J, Jaiswal, A, Akalu, GT, Jakovljevic, M, Jalilzadeh Yengejeh, R, Jamora, RDG, Jatau, AI, Javadov, S, Javaheri, T, Jayaram, S, Jeganathan, J, Navaratna, SNK, Jeswani, BM, Jiang, H, Akara, EM, Johnson, CO, Jokar, M, Jomehzadeh, N, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Ali, R, Joshi, V, Joshua, CE, Jozwiak, JJ, Akbarialiabad, H, Jürisson, M, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kahn, EM, Naveed, M, Kalani, R, Kaliyadan, F, Kalra, S, Kamath, R, Akhlaghi, S, Kanagasabai, T, Kanchan, T, Kandel, H, Kanmiki, EW, Kanmodi, KK, Nayak, BP, Kansal, SK, Kapner, DJ, Kapoor, N, Karagiannidis, E, Karajizadeh, M, Akinosoglou, K, Karakasis, P, Karanth, SD, Karaye, IM, Karch, A, Nayak, VC, Karim, A, Karimi, H, Karmakar, S, Kashoo, FZ, Kasraei, H, Kassahun, WD, Akinyemiju, T, Kassebaum, NJ, Kassel, MB, Katikireddi, SV, Ndejjo, R, Kauppila, JH, Kawakami, N, Kaydi, N, Kayode, GA, Kazemi, F, Keiyoro, PN, Kemmer, L, Akkaif, MA, Kempen, JH, Kerr, JA, Matozinhos, FP, Nduaguba, SO, Kesse-Guyot, E, Khader, YS, Khafaie, MA, Khajuria, H, Khalaji, A, Khalil, M, Khalilian, A, Khamesipour, F, Akkala, S, Khan, A, Negash, H, Khan, MN, Khan, M, Khan, MJ, Khan, MAB, Khanmohammadi, S, Khatab, K, Khatatbeh, H, Khatatbeh, MM, Khatib, MN, Akombi-Inyang, B, Negoi, I, Khavandegar, A, Khayat Kashani, HR, Khidri, FF, Khodadoust, E, Khormali, M, Khorrami, Z, Khosla, AA, Khosrowjerdi, M, Khreis, H, Khusun, H, Negoi, RI, Al Awaidy, S, Kifle, ZD, Kim, K, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Knibbs, LD, Knudsen, AKS, Nejadghaderi, SA, Koh, DSQ, Al Hasan, SM, Kolahi, A-A, Kompani, F, Kong, J, Koren, G, Korja, M, Korshunov, VA, Korzh, O, Kosen, S, Nejjari, C, Kothari, N, Koul, PA, Alahdab, F, Koulmane Laxminarayana, SL, Krishan, K, Krishnamoorthy, V, Krishnamoorthy, Y, Krishnan, B, Krohn, KJ, Kuate Defo, B, Ali, SSS, Kucuk Bicer, B, Kuddus, MA, Kuddus, M, AL-Ahdal, TMA, Kugbey, N, Kuitunen, I, Kulimbet, M, Kulkarni, V, Kumar, A, Kumar, N, Nematollahi, MH, Kumar, V, Kundu, S, Kurmi, OP, Kusnali, A, Alalalmeh, SO, Kusuma, D, Kutluk, T, La Vecchia, C, Ladan, MA, Laflamme, L, Nepal, S, Lahariya, C, Lai, DTC, Lal, DK, Lallukka, T, Lám, J, Alalwan, TA, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Neupane, S, Langguth, B, Lansingh, VC, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Al-Aly, Z, Lauriola, P, Le, H-H, Le, LKD, Mattumpuram, J, Ng, M, Le, NHH, Le, TTT, Leasher, JL, Ledda, C, Lee, M, Lee, PH, Lee, SW, Alam, K, Lee, SWH, Lee, YH, Nguefack-Tsague, G, LeGrand, KE, Leigh, J, Leong, E, Lerango, TL, Lescinsky, H, Leung, J, Li, M-C, Li, W-Z, Alam, N, Li, W, Ngunjiri, JW, Li, Y, Li, Z, Ligade, VS, Lim, L-L, Lim, SS, Lin, R-T, Lin, S, Liu, C, Liu, G, Alanezi, FM, Nguyen, DH, Liu, J, Liu, RT, Liu, S, Liu, W, Liu, X, Livingstone, KM, Llanaj, E, Lohiya, A, Nguyen, NNY, Alanzi, TM, López-Bueno, R, Lopukhov, PD, Lorkowski, S, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Luo, L, lv, H, Nguyen, PT, M Amin, HI, Albakri, A, Ma, ZF, Maass, KL, Mabrok, M, Machairas, N, Machoy, M, Mafhoumi, A, Magdy Abd El Razek, M, Maghazachi, AA, Mahadeshwara Prasad, DR, Maharaj, SB, AlBataineh, MT, Mahmoud, MA, Mahmoudi, E, Majeed, A, Makram, OM, Makris, KC, Malasala, S, Maled, V, Ali, W, Malhotra, K, Malik, AA, Malik, I, Aldhaleei, WA, Malinga, LA, Malta, DC, Mamun, AA, Manda, AL, Manla, Y, Mansour, A, Nguyen, VT, Mansouri, B, Mansouri, P, Mansourian, M, Mansournia, MA, Aldridge, RW, Mantovani, LG, Manu, E, Marateb, HR, Maravilla, JC, Marsh, E, Nguyen Tran Minh, D, 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Zastrozhin, MS, Zeng, Y, Zhai, C, Mohammadifard, N, Zhang, AL, Zhang, H, Zhang, L, Zhang, M, Zhang, Y, Anwer, R, Zhang, Z, Zhang, Z-J, Zhao, H, Zhao, JT, Mohammed, H, Zhao, X-JG, Zhao, Y, Zhong, C, Zhou, J, Anyabolo, EE, Zhou, S, Zhu, B, Zhu, L, Ali, A, Zhu, Z, Ziaeian, B, Ziafati, M, Zielińska, M, Zimsen, SRM, Zoghi, G, Zoller, T, Anyasodor, AE, Zumla, A, Zyoud, SH, Mohammed, M, Murray, CJL, Gakidou, E, Abdullahi, A, Apostol, GLC, Arabloo, J, Arabzadeh Bahri, R, Arafat, M, Areda, D, Aregawi, BB, Mohammed, S, Aremu, A, Armocida, B, Arndt, MB, Ärnlöv, J, Abebe, M, Arooj, M, Artamonov, AA, Artanti, KD, Aruleba, IT, Arumugam, A, Asbeutah, AM, Asgary, S, Asgedom, AA, Ashbaugh, C, Ashemo, MY, Abedi, A, Ashraf, T, Askarinejad, A, Assmus, M, Astell-Burt, T, Mokdad, AH, Athar, M, Athari, SS, Atorkey, P, Atreya, A, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awoke, AA, Ayala Quintanilla, BP, Monasta, L, Ayatollahi, H, Ayestas Portugal, C, Ayuso-Mateos, JL, Azadnajafabad, S, Azevedo, RMS, Azhar, GS, Azizi, H, Abegaz, TM, Azzam, AY, Backhaus, IL, Mondello, S, Badar, M, Badiye, AD, Bagga, A, Baghdadi, S, Bagheri, N, Bagherieh, S, Bahrami Taghanaki, P, Bai, R, Abeldaño Zuñiga, RA, Baig, AA, Moni, MA, Baker, JL, Bakkannavar, SM, Balasubramanian, M, Baltatu, OC, Bam, K, Bandyopadhyay, S, Banik, B, Banik, PC, Banke-Thomas, A, Abiodun, O, Moodi Ghalibaf, A, Bansal, H, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Bärnighausen, TW, Barone-Adesi, F, Barqawi, HJ, Barrero, LH, Barrow, A, Moore, CE, Abiso, TL, Barteit, S, Basharat, Z, Basiru, A, Basso, JD, Bastan, M-M, Basu, S, Batchu, S, Batra, K, Batra, R, Moradi, M, Baune, BT, Aboagye, RG, Bayati, M, Bayileyegn, NS, Beaney, T, Behnoush, AH, Beiranvand, M, Béjot, Y, Bekele, A, Belgaumi, UI, Bell, AW, Bell, ML, Abolhassani, H, Bello, MB, Bello, OO, Belo, L, Beloukas, A, Bendak, S, Bennett, DA, and Bennitt, FB
Published: 2024

33. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Brauer, M, Roth, GA, Aravkin, AY, Zheng, P, Abate, KH, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasi, MA, Abbasian, M, Abbasifard, M, Moradi, Y, Bensenor, IM, Benzian, H, Beran, A, Abouzid, M, Berezvai, Z, Bernabe, E, Bernstein, RS, Bettencourt, PJG, Bhagavathula, AS, Bhala, N, Moraga, P, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Aboye, GB, Bhat, AN, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Morawska, L, Bhatti, R, Bhuiyan, MA, Bhutta, ZA, Bikbov, B, Bishai, JD, Abreu, LG, Bisignano, C, Biswas, A, Biswas, B, Biswas, RK, Moreira, RS, Bjørge, T, Boachie, MK, Boakye, H, Bockarie, MJ, Bodolica, V, Bodunrin, AO, Abualruz, H, Bogale, EK, Bolla, SR, Boloor, A, Morovatdar, N, Bonakdar Hashemi, M, Boppana, SH, Bora Basara, B, Borhany, H, Botero Carvajal, A, Bouaoud, S, Boufous, S, Abubakar, B, Bourne, R, Boxe, C, Morrison, SD, Braithwaite, D, Brant, LC, Brar, A, Breitborde, NJK, Breitner, S, Brenner, H, Briko, AN, Britton, G, Abu-Gharbieh, E, Brown, CS, Morze, J, Browne, AJ, Brunoni, AR, Bryazka, D, Bulamu, NB, Bulto, LN, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Abukhadijah, HJJ, Mosaddeghi Heris, R, Bustanji, Y, Butt, NS, Butt, ZA, Caetano dos Santos, FL, Cagney, J, Cahuana-Hurtado, L, Calina, D, Cámera, LA, Campos, LA, Campos-Nonato, IR, Mossialos, E, Aburuz, S, Cao, C, Cao, F, Cao, Y, Capodici, A, Cárdenas, R, Carr, S, Carreras, G, Carrero, JJ, Carugno, A, Motappa, R, Carvalho, F, Abu-Zaid, A, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Catapano, AL, Cattaruzza, MS, Caye, A, Alemayohu, MA, Ali, BA, Cederroth, CR, Cegolon, L, Adane, MM, Cenderadewi, M, Cercy, KM, Cerin, E, Chadwick, J, Chakraborty, C, Chakraborty, PA, Chakraborty, S, Mougin, V, Chan, JSK, Chan, RNC, Chandan, JS, Addo, IY, Chandika, RM, Chaturvedi, P, Chen, A-T, Chen, CS, Chen, H, Chen, MX, Mousavi, P, Chen, M, Chen, S, Cheng, C-Y, Cheng, ETW, Addolorato, G, Cherbuin, N, Chi, G, Chichagi, F, Chimed-Ochir, O, Chimoriya, R, Msherghi, A, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, WCS, Chong, B, Adedoyin, RA, Chopra, H, Chowdhury, R, Christopher, DJ, Chu, D-T, Mubarik, S, Chukwu, IS, Chung, E, Chung, S-C, Chutiyami, M, Cioffi, I, Cogen, RM, Adekanmbi, V, Cohen, AJ, Columbus, A, Conde, J, Muccioli, L, Corlateanu, A, Cortese, S, Cortesi, PA, Costa, VM, Costanzo, S, Criqui, MH, Cruz, JA, Aden, B, Cruz-Martins, N, Culbreth, GT, Mueller, UO, da Silva, AG, Dadras, O, Dai, X, Dai, Z, Daikwo, PU, Dalli, LL, Damiani, G, D'Amico, E, Adetunji, JB, D'Anna, L, Mulita, F, Darwesh, AM, Das, JK, Das, S, Dash, NR, Dashti, M, Dávila-Cervantes, CA, Davis Weaver, N, Davitoiu, DV, De la Hoz, FP, Adeyeoluwa, TE, Mullany, EC, de la Torre-Luque, A, De Leo, D, Debopadhaya, S, Degenhardt, L, Del Bo', C, Delgado-Enciso, I, Delgado-Saborit, JM, Demoze, CK, Denova-Gutiérrez, E, Dervenis, N, Munjal, K, Adha, R, Dervišević, E, Desai, HD, Desai, R, Devanbu, VGC, Dewan, SMR, Dhali, A, Dhama, K, Dhane, AS, Dhimal, ML, Marx, W, Murillo-Zamora, E, Dhimal, M, Adibi, A, Dhingra, S, Dhulipala, VR, Dhungana, RR, Dias da Silva, D, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Abbasi-Kangevari, M, Ding, DD, Dinu, M, Adnani, QES, Djalalinia, S, Do, TC, Do, THP, do Prado, CB, Dodangeh, M, Dohare, S, Dokova, KG, Ali, I, Dong, W, Dongarwar, D, D'Oria, M, Adzigbli, LA, Dorostkar, F, Dorsey, ER, Doshi, R, Doshmangir, L, Dowou, RK, Driscoll, TR, Murlimanju, BV, Dsouza, AC, Dsouza, HL, Dumith, SC, Duncan, BB, Afolabi, AA, Duraes, AR, Duraisamy, S, Dushpanova, A, Dzianach, PA, Dziedzic, AM, Musina, A-M, Ebrahimi, A, Echieh, CP, Ed-Dra, A, Edinur, HA, Edvardsson, D, Afolabi, RF, Edvardsson, K, Efendi, F, Eftekharimehrabad, A, Eini, E, Mustafa, G, Ekholuenetale, M, Ekundayo, TC, El Arab, RA, El Sayed Zaki, M, El-Dahiyat, F, Elemam, NM, Afshin, A, Elgar, FJ, ElGohary, GMT, Elhabashy, HR, Muthu, S, Elhadi, M, Elmehrath, AO, Elmeligy, OAA, Elshaer, M, Elsohaby, I, Emeto, TI, Esfandiari, N, Afyouni, S, Eshrati, B, Eslami, M, Muthupandian, S, Esmaeili, SV, Estep, K, Etaee, F, Fabin, N, Fagbamigbe, AF, Fagbule, OF, Fahimi, S, Falzone, L, Afzal, MS, Fareed, M, Muthusamy, R, Farinha, CSES, Faris, MEM, Faris, PS, Faro, A, Fasina, FO, Fatehizadeh, A, Fauk, NK, Fazylov, T, Feigin, VL, Afzal, S, Muzaffar, M, Feng, X, Fereshtehnejad, S-M, Feroze, AH, Ferrara, P, Ferrari, AJ, Ferreira, N, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Maryam, S, Myung, W, Agampodi, SB, Fitriana, I, Flavel, J, Flohr, C, Flood, D, Flor, LS, Foigt, NA, Folayan, MO, Force, LM, Fortuna, D, Nafei, A, Foschi, M, Agbozo, F, Franklin, RC, Freitas, A, Friedman, SD, Fux, B, G, S, Gaal, PA, Gaihre, S, Gajdács, M, Nagarajan, AJ, Galali, Y, Gallus, S, Aghamiri, S, Gandhi, AP, Ganesan, B, Ganiyani, MA, Garcia, V, Gardner, WM, Garg, RK, Gautam, RK, Ali, L, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Agodi, A, Gebremariam, TBB, Gebremeskel, TG, Gerema, U, Getacher, L, Getahun, GKA, Getie, M, Nagaraju, SP, Ghadirian, F, Ghafarian, S, Ghaffari Jolfayi, A, Ghailan, KY, Agrawal, A, Ghajar, A, Ghasemi, M, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghassemi, F, Nagel, G, Ghazy, RM, Gholami, A, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Agyemang-Duah, W, Gil, AU, Gil, GF, Gilbertson, NM, Gill, PS, Naghavi, M, Gill, TK, Gindaba, EZ, Girmay, A, Glasbey, JC, Gnedovskaya, EV, Göbölös, L, Ahinkorah, BO, Godinho, MA, Goel, A, Golechha, M, Naghavi, P, Goleij, P, Golinelli, D, Gomes, NGM, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Ahmad, A, Gouravani, M, Goyal, A, Naik, GR, Graham, SM, Grivna, M, Grosso, G, Guan, S-Y, Guarducci, G, Gubari, MIM, Guha, A, Guicciardi, S, Ahmad, D, Gulati, S, Naik, G, Gulisashvili, D, Gunawardane, DA, Guo, C, Gupta, AK, Gupta, B, Gupta, M, Gupta, R, Gupta, RD, Ahmad, F, Mathangasinghe, Y, Nainu, F, Gupta, S, Gupta, VB, Gupta, VK, Habibzadeh, F, Habibzadeh, P, Hadaro, TS, Hadian, Z, Haep, N, Haghi-Aminjan, H, Nair, TS, Ahmad, N, Haghmorad, D, Hagins, H, Haile, D, Hailu, A, Hajj Ali, A, Halboub, ES, 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Hussein, NR, Huynh, CK, Huynh, H-H, Ibitoye, SE, Idowu, OO, Ihler, AL, Ahmed, S, Ikeda, N, Mathioudakis, AG, Nascimento, GG, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Inbaraj, LR, Irham, LM, Isa, MA, Ahmed, SA, Nashwan, AJ, Islam, MR, Ismail, F, Ismail, NE, Iso, H, Isola, G, Iwagami, M, Iwu, CCD, Iwu-Jaja, CJ, J, V, Jaafari, J, Natto, ZS, Ajami, M, Jacob, L, Jacobsen, KH, Jadidi-Niaragh, F, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, A, Jain, N, Jairoun, AA, Nauman, J, Jaiswal, A, Akalu, GT, Jakovljevic, M, Jalilzadeh Yengejeh, R, Jamora, RDG, Jatau, AI, Javadov, S, Javaheri, T, Jayaram, S, Jeganathan, J, Navaratna, SNK, Jeswani, BM, Jiang, H, Akara, EM, Johnson, CO, Jokar, M, Jomehzadeh, N, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Ali, R, Joshi, V, Joshua, CE, Jozwiak, JJ, Akbarialiabad, H, Jürisson, M, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kahn, EM, Naveed, M, Kalani, R, Kaliyadan, F, Kalra, S, Kamath, R, Akhlaghi, S, Kanagasabai, T, Kanchan, T, Kandel, H, Kanmiki, EW, Kanmodi, KK, Nayak, BP, Kansal, SK, Kapner, DJ, Kapoor, N, Karagiannidis, E, Karajizadeh, M, Akinosoglou, K, Karakasis, P, Karanth, SD, Karaye, IM, Karch, A, Nayak, VC, Karim, A, Karimi, H, Karmakar, S, Kashoo, FZ, Kasraei, H, Kassahun, WD, Akinyemiju, T, Kassebaum, NJ, Kassel, MB, Katikireddi, SV, Ndejjo, R, Kauppila, JH, Kawakami, N, Kaydi, N, Kayode, GA, Kazemi, F, Keiyoro, PN, Kemmer, L, Akkaif, MA, Kempen, JH, Kerr, JA, Matozinhos, FP, Nduaguba, SO, Kesse-Guyot, E, Khader, YS, Khafaie, MA, Khajuria, H, Khalaji, A, Khalil, M, Khalilian, A, Khamesipour, F, Akkala, S, Khan, A, Negash, H, Khan, MN, Khan, M, Khan, MJ, Khan, MAB, Khanmohammadi, S, Khatab, K, Khatatbeh, H, Khatatbeh, MM, Khatib, MN, Akombi-Inyang, B, Negoi, I, Khavandegar, A, Khayat Kashani, HR, Khidri, FF, Khodadoust, E, Khormali, M, Khorrami, Z, Khosla, AA, Khosrowjerdi, M, Khreis, H, Khusun, H, Negoi, RI, Al Awaidy, S, Kifle, ZD, Kim, K, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Knibbs, LD, Knudsen, AKS, Nejadghaderi, SA, Koh, DSQ, Al Hasan, SM, Kolahi, A-A, Kompani, F, Kong, J, Koren, G, Korja, M, Korshunov, VA, Korzh, O, Kosen, S, Nejjari, C, Kothari, N, Koul, PA, Alahdab, F, Koulmane Laxminarayana, SL, Krishan, K, Krishnamoorthy, V, Krishnamoorthy, Y, Krishnan, B, Krohn, KJ, Kuate Defo, B, Ali, SSS, Kucuk Bicer, B, Kuddus, MA, Kuddus, M, AL-Ahdal, TMA, Kugbey, N, Kuitunen, I, Kulimbet, M, Kulkarni, V, Kumar, A, Kumar, N, Nematollahi, MH, Kumar, V, Kundu, S, Kurmi, OP, Kusnali, A, Alalalmeh, SO, Kusuma, D, Kutluk, T, La Vecchia, C, Ladan, MA, Laflamme, L, Nepal, S, Lahariya, C, Lai, DTC, Lal, DK, Lallukka, T, Lám, J, Alalwan, TA, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Neupane, S, Langguth, B, Lansingh, VC, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Al-Aly, Z, Lauriola, P, Le, H-H, Le, LKD, Mattumpuram, J, Ng, M, Le, NHH, Le, TTT, Leasher, JL, Ledda, C, Lee, M, Lee, PH, Lee, SW, Alam, K, Lee, SWH, Lee, YH, Nguefack-Tsague, G, LeGrand, KE, Leigh, J, Leong, E, Lerango, TL, Lescinsky, H, Leung, J, Li, M-C, Li, W-Z, Alam, N, Li, W, Ngunjiri, JW, Li, Y, Li, Z, Ligade, VS, Lim, L-L, Lim, SS, Lin, R-T, Lin, S, Liu, C, Liu, G, Alanezi, FM, Nguyen, DH, Liu, J, Liu, RT, Liu, S, Liu, W, Liu, X, Livingstone, KM, Llanaj, E, Lohiya, A, Nguyen, NNY, Alanzi, TM, López-Bueno, R, Lopukhov, PD, Lorkowski, S, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Luo, L, lv, H, Nguyen, PT, M Amin, HI, Albakri, A, Ma, ZF, Maass, KL, Mabrok, M, Machairas, N, Machoy, M, Mafhoumi, A, Magdy Abd El Razek, M, Maghazachi, AA, Mahadeshwara Prasad, DR, Maharaj, SB, AlBataineh, MT, Mahmoud, MA, Mahmoudi, E, Majeed, A, Makram, OM, Makris, KC, Malasala, S, Maled, V, Ali, W, Malhotra, K, Malik, AA, Malik, I, Aldhaleei, WA, Malinga, LA, Malta, DC, Mamun, AA, Manda, AL, Manla, Y, Mansour, A, Nguyen, VT, Mansouri, B, Mansouri, P, Mansourian, M, Mansournia, MA, Aldridge, RW, Mantovani, LG, Manu, E, Marateb, HR, Maravilla, JC, Marsh, E, Nguyen Tran Minh, D, 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GS, Azizi, H, Abegaz, TM, Azzam, AY, Backhaus, IL, Mondello, S, Badar, M, Badiye, AD, Bagga, A, Baghdadi, S, Bagheri, N, Bagherieh, S, Bahrami Taghanaki, P, Bai, R, Abeldaño Zuñiga, RA, Baig, AA, Moni, MA, Baker, JL, Bakkannavar, SM, Balasubramanian, M, Baltatu, OC, Bam, K, Bandyopadhyay, S, Banik, B, Banik, PC, Banke-Thomas, A, Abiodun, O, Moodi Ghalibaf, A, Bansal, H, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Bärnighausen, TW, Barone-Adesi, F, Barqawi, HJ, Barrero, LH, Barrow, A, Moore, CE, Abiso, TL, Barteit, S, Basharat, Z, Basiru, A, Basso, JD, Bastan, M-M, Basu, S, Batchu, S, Batra, K, Batra, R, Moradi, M, Baune, BT, Aboagye, RG, Bayati, M, Bayileyegn, NS, Beaney, T, Behnoush, AH, Beiranvand, M, Béjot, Y, Bekele, A, Belgaumi, UI, Bell, AW, Bell, ML, Abolhassani, H, Bello, MB, Bello, OO, Belo, L, Beloukas, A, Bendak, S, Bennett, DA, and Bennitt, FB
Published: 2024

34. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Ferrari, AJ, Santomauro, DF, Aali, A, Abate, YH, Abbafati, C, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdollahi, A, Abdullahi, A, Abegaz, KH, Abeldaño Zuñiga, RA, Aboagye, RG, Abolhassani, H, Abreu, LG, Abualruz, H, Abu-Gharbieh, E, Abu-Rmeileh, NME, Ackerman, IN, Addo, IY, Addolorato, G, Adebiyi, AO, Adepoju, AV, Adewuyi, HO, Afyouni, S, Afzal, S, Agodi, A, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, S, Ahmed, A, Ahmed, LA, Ahmed, MB, Ajami, M, Akinosoglou, K, Akkaif, MA, Al Hasan, SM, Alalalmeh, SO, Al-Aly, Z, Albashtawy, M, Aldridge, RW, Alemu, MD, Alemu, YM, Alene, KA, Al-Gheethi, AAS, Alharrasi, M, Alhassan, RK, Ali, MU, Ali, R, Ali, SSS, Alif, SM, Aljunid, SM, Al-Marwani, S, Almazan, JU, Alomari, MA, Al-Omari, B, Altaany, Z, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Alwafi, H, Al-Wardat, MS, Al-Worafi, YM, Aly, S, Alzoubi, KH, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amugsi, DA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Ansari, H, Antony, CM, Anwar, S, Anwar, SL, Anwer, R, Anyanwu, PE, Arab, JP, Arabloo, J, Arafat, M, Araki, DT, Aravkin, AY, Arkew, M, Armocida, B, Arndt, MB, Arooj, M, Artamonov, AA, Aruleba, RT, Arumugam, A, Ashbaugh, C, Ashemo, MY, Ashraf, M, Asika, MO, Askari, E, Astell-Burt, T, Athari, SS, Atorkey, P, Atout, MMW, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awotidebe, AW, Awuviry-Newton, K, Ayala Quintanilla, BP, Ayuso-Mateos, JL, Azadnajafabad, S, Azevedo, RMS, Babu, AS, Badar, M, Badiye, AD, Baghdadi, S, Bagheri, N, Bah, S, Bai, R, Baker, JL, Bakkannavar, SM, Bako, AT, Balakrishnan, S, Bam, K, Banik, PC, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Barqawi, HJ, Barrow, A, Barteit, S, Barua, L, Bashiri Aliabadi, S, Basiru, A, Basu, S, Bathini, PP, Batra, K, Baune, BT, Bayileyegn, NS, Behnam, B, Behnoush, AH, Beiranvand, M, Bejarano Ramirez, DF, Bell, ML, Bello, OO, Beloukas, A, Bensenor, IM, Berezvai, Z, Bernabe, E, Bernstein, RS, Bettencourt, PJG, Bhagavathula, AS, Bhala, N, Bhandari, D, Bhargava, A, Bhaskar, S, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhatti, R, Bhutta, ZA, Bikbov, B, Bishai, JD, Bisignano, C, Bitra, VR, Bjørge, T, Bodolica, V, Bodunrin, AO, Bogale, EK, Bonakdar Hashemi, M, Bonny, A, Bora Basara, B, Borhany, H, Boxe, C, Brady, OJ, Bragazzi, NL, Braithwaite, D, Brant, LC, Brauer, M, Breitner, S, Brenner, H, Brown, J, Brugha, T, Bulamu, NB, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Bustanji, Y, Butt, ZA, Byun, J, Caetano dos Santos, FL, Calina, D, Cámera, LA, Campos-Nonato, IR, Cao, C, Capodici, A, Carr, S, Carreras, G, Carugno, A, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catapano, AL, Cattaruzza, MS, Caye, A, Cegolon, L, Cembranel, F, Cenderadewi, M, Cerin, E, Chakraborty, PA, Chan, JSK, Chan, RNC, Chandika, RM, Chandrasekar, EK, Charalampous, P, Chattu, VK, Chatzimavridou-Grigoriadou, V, Chen, AW, Chen, A-T, Chen, CS, Chen, H, Chen, NM, Cheng, ETW, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Cho, WCS, Choi, S, Chong, B, Chong, YY, Choudhari, SG, Chowdhury, R, Christensen, SWM, Chu, D-T, Chukwu, IS, Chung, E, Chutiyami, M, Claassens, MM, Cogen, RM, Columbus, A, Conde, J, Cortesi, PA, Cousin, E, Criqui, MH, Cruz-Martins, N, Dadras, O, Dai, S, Dai, X, Dai, Z, Dalaba, MA, Damiani, G, Das, JK, Das, S, Dashti, M, Dávila-Cervantes, CA, Davletov, K, De Leo, D, Debele, AT, Debopadhaya, S, DeCleene, NK, Deeba, F, Degenhardt, L, Del Bo', C, Delgado-Enciso, I, Demetriades, AK, Denova-Gutiérrez, E, Dervenis, N, Desai, HD, Desai, R, Deuba, K, Dhama, K, Dharmaratne, SD, Dhingra, S, Dias da Silva, D, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Ding, DD, Dirac, MA, Do, THP, do Prado, CB, Dohare, S, Dominguez, R-MV, Dong, W, Dongarwar, D, D'Oria, M, Dorsey, ER, Doshmangir, L, Dowou, RK, Driscoll, TR, Dsouza, HL, Dsouza, V, Dube, J, Dumith, SC, Duncan, BB, Duraes, AR, Duraisamy, S, Durojaiye, OC, Dzianach, PA, Dziedzic, AM, Eboreime, E, Ebrahimi, A, Edinur, HA, 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Le, LKD, Le, NHH, Le, TDT, Leasher, JL, Ledda, C, Lee, M, Lee, PH, Lee, S-W, Lee, SW, Lee, W-C, Lee, YH, LeGrand, KE, Lenzi, J, Leong, E, Leung, J, Li, M-C, Li, W, Li, X, Li, Y, Lim, L-L, Lim, SS, Lindstrom, M, Linn, S, Liu, G, Liu, R, Liu, S, Liu, W, Liu, X, Llanaj, E, Lo, C-H, López-Bueno, R, Loreche, AM, Lorenzovici, L, Lozano, R, Lubinda, J, Lucchetti, G, Lunevicius, R, Lusk, JB, lv, H, Ma, ZF, Machairas, N, Madureira-Carvalho, ÁM, Magaña Gómez, JA, Maghazachi, AA, Maharjan, P, Mahasha, PW, Maheri, M, Mahjoub, S, Mahmoud, MA, Mahmoudi, E, Majeed, A, Makris, KC, Malakan Rad, E, Malhotra, K, Malik, AA, Malik, I, Malta, DC, Manla, Y, Mansour, A, Mansouri, P, Mansournia, MA, Mantilla Herrera, AM, Mantovani, LG, Manu, E, Marateb, HR, Mardi, P, Martinez, G, Martinez-Piedra, R, Martini, D, Martins-Melo, FR, Martorell, M, Marx, W, Maryam, S, Marzo, RR, Mathangasinghe, Y, Mathieson, S, Mathioudakis, AG, Mattumpuram, J, Maugeri, A, Mayeli, M, Mazidi, M, Mazzotti, A, McGrath, JJ, McKee, 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Mirutse, MK, Mirza-Aghazadeh-Attari, M, Mirzaei, M, Mirzaei, R, Misganaw, A, Mishra, AK, Mitchell, PB, Mittal, C, Moazen, B, Moberg, ME, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammadi, E, Mohammadi, S, Mohammed, H, Mohammed, S, Mohr, RM, Mokdad, AH, Molinaro, S, Momtazmanesh, S, Monasta, L, Mondello, S, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moradi-Lakeh, M, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Morze, J, Mosapour, A, Mosser, JF, Mossialos, E, Motappa, R, Mougin, V, Mouodi, S, Mrejen, M, Msherghi, A, Mubarik, S, Mueller, UO, Mulita, F, Munjal, K, Murillo-Zamora, E, Murlimanju, BV, Mustafa, G, Muthu, S, Muzaffar, M, Myung, W, Nagarajan, AJ, Naghavi, P, Naik, GR, Nainu, F, Nair, S, Najmuldeen, HHR, Nangia, V, Naqvi, AA, Narayana, AI, Nargus, S, Nascimento, GG, Nashwan, AJ, Nasrollahizadeh, A, Natto, ZS, Nayak, BP, Nayak, VC, Nduaguba, SO, Negash, H, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nesbit, OD, Netsere, HB, Ng, M, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, DH, Nguyen, HQ, Niazi, RK, Nikolouzakis, TK, Nikoobar, A, Nikoomanesh, F, Nikpoor, AR, Nnaji, CA, Nnyanzi, LA, Noman, EA, Nomura, S, Norrving, B, Nri-Ezedi, CA, Ntaios, G, Ntsekhe, M, Nurrika, D, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Odetokun, IA, O'Donnell, MJ, Oguntade, AS, Oguta, JO, Okati-Aliabad, H, Okeke, SR, Okekunle, AP, Okonji, OC, Olagunju, AT, Olasupo, OO, Olatubi, MI, Oliveira, GMM, Olufadewa, II, Olusanya, BO, Olusanya, JO, Omar, HA, Omer, GL, Omonisi, AEE, Onie, S, Onwujekwe, OE, Ordak, M, Orish, VN, Ortega-Altamirano, DV, Ortiz, A, Ortiz-Brizuela, E, Osman, WMS, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, N, Otstavnov, SS, Ouyahia, A, Ouyang, G, Owolabi, MO, P A, MP, Padron-Monedero, A, Padubidri, JR, Palicz, T, Palladino, C, Pan, F, Pandi-Perumal, SR, Pangaribuan, HU, Panos, GD, Panos, LD, Pantea Stoian, AM, Pardhan, S, Parikh, RR, Pashaei, A, Pasovic, M, Passera, R, Patel, J, Patel, SK, Patil, S, Patoulias, D, Patthipati, VS, Pawar, S, Pazoki Toroudi, H, Pease, SA, Peden, AE, Pedersini, P, Peng, M, Pensato, U, Pepito, VCF, Peprah, EK, Peprah, P, Perdigão, J, Pereira, MO, Perianayagam, A, Perico, N, Pesudovs, K, Petermann-Rocha, FE, Petri, WA, Pham, HT, Philip, AK, Phillips, MR, Pigeolet, M, Pigott, DM, Pillay, JD, Piracha, ZZ, Pirouzpanah, S, Plass, D, Plotnikov, E, Poddighe, D, Polinder, S, Postma, MJ, Pourtaheri, N, Prada, SI, Pradhan, PMS, Prakash, V, Prasad, M, Prates, EJS, Priscilla, T, Pritchett, N, Puri, P, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Rabiee Rad, M, Radhakrishnan, RA, Radhakrishnan, V, Raeisi Shahraki, H, Rafferty, Q, Raggi, A, Raghav, PR, Rahim, MJ, Rahman, MM, Rahman, MHU, Rahman, M, Rahman, MA, Rahmani, S, Rahmanian, M, Rahmawaty, S, Rajaa, S, Ramadan, MM, Ramasamy, SK, Ramasubramani, P, Ramazanu, S, Rana, K, Ranabhat, CL, Rancic, N, Rane, A, Rao, CR, Rao, K, Rao, M, Rao, SJ, Rashidi, M-M, Rathnaiah Babu, G, Rauniyar, SK, Rawaf, DL, Rawaf, S, Razo, C, Reddy, MMRK, Redwan, EMM, Reifels, L, Reiner Jr, RC, Remuzzi, G, Renzaho, AMN, Reshmi, B, Reyes, LF, Rezaei, N, Rezaei Hachesu, P, Rezaeian, M, Rickard, J, Rodrigues, CF, Rodriguez, JAB, Roever, L, Ronfani, L, Roshandel, G, Rotimi, K, Rout, HS, Roy, B, Roy, N, Roy, P, Rubagotti, E, S N, C, Saad, AMA, Saber-Ayad, MM, Sabour, S, Sacco, S, Sachdev, PS, Saddik, B, Saddler, A, Sadee, BA, Sadeghi, E, Sadeghi, M, Saeb, MR, Saeed, U, Safi, SZ, Sagar, R, Sagoe, D, Saif, Z, Sajid, MR, Sakshaug, JW, Salam, N, Salami, AA, Salaroli, LB, Saleh, MA, Salem, MR, Salem, MZY, Sallam, M, Samadzadeh, S, Samargandy, S, Samodra, YL, Samy, AM, Sanabria, J, Sanna, F, Santos, IS, Santric-Milicevic, MM, Sarasmita, MA, Sarikhani, Y, Sarmiento-Suárez, R, Sarode, GS, Sarode, SC, Sarveazad, A, Sathian, B, Sathyanarayan, A, Satpathy, M, Sawhney, M, Scarmeas, N, Schaarschmidt, BM, Schmidt, MI, Schneider, IJC, Schumacher, AE, Schwebel, DC, Schwendicke, F, Sedighi, M, Senapati, S, Senthilkumaran, S, Sepanlou, SG, Sethi, Y, Setoguchi, S, Seylani, A, Shadid, J, Shafie, M, Shah, H, Shah, NS, Shah, PA, Shahbandi, A, Shahid, S, Shahid, W, Shahwan, MJ, Shaikh, MA, Shakeri, A, Shalash, AS, Sham, S, Shamim, MA, Shamshirgaran, MA, Shamsi, MA, Shanawaz, M, Shankar, A, Shannawaz, M, Sharath, M, Sharifan, A, Sharifi-Rad, J, Sharma, M, Sharma, R, Sharma, S, Sharma, U, Sharma, V, Shastry, RP, Shavandi, A, Shayan, AM, Shayan, M, Shehabeldine, AME, Shetty, PH, Shibuya, K, Shifa, JE, Shiferaw, D, Shiferaw, WS, Shigematsu, M, Shiri, R, Shitaye, NA, Shittu, A, Shivakumar, KM, Shivarov, V, Shokati Eshkiki, Z, Shool, S, Shrestha, S, Shuval, K, Sibhat, MM, Siddig, EE, Sigfusdottir, ID, Silva, DAS, Silva, JP, Silva, LMLR, Silva, S, Simpson, CR, Singal, A, Singh, A, Singh, BB, Singh, H, Singh, JA, Singh, M, Singh, P, Skou, ST, Sleet, DA, Slepak, ELN, Solanki, R, Soliman, SSM, Song, S, Song, Y, Sorensen, RJD, Soriano, JB, Soyiri, IN, Spartalis, M, Sreeramareddy, CT, Stark, BA, Starodubova, AV, Stein, C, Stein, DJ, Steiner, C, Steiner, TJ, Steinmetz, JD, Steiropoulos, P, Stockfelt, L, Stokes, MA, Subedi, NS, Subramaniyan, V, Suemoto, CK, Suleman, M, Suliankatchi Abdulkader, R, Sultana, A, Sundström, J, Swain, CK, Szarpak, L, Tabaee Damavandi, P, Tabarés-Seisdedos, R, Tabatabaei Malazy, O, Tabatabaeizadeh, S-A, Tabatabai, S, Tabche, C, Tabish, M, Tadakamadla, SK, Taheri Abkenar, Y, Taheri Soodejani, M, Taherkhani, A, Taiba, J, Talaat, IM, Talukder, A, Tampa, M, Tamuzi, JL, Tan, K-K, Tandukar, S, Tang, H, Tavakoli Oliaee, R, Tavangar, SM, Teimoori, M, Temsah, M-H, Teramoto, M, Thangaraju, P, Thankappan, KR, Thapar, R, Thayakaran, R, Thirunavukkarasu, S, Thomas, N, Thomas, NK, Thum, CCC, Tichopad, A, Ticoalu, JHV, Tillawi, T, Tiruye, TY, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Torre, AE, Touvier, M, Tovani-Palone, MR, Tran, JT, Tran, MTN, Tran, NM, Tran, N-H, Trico, D, Tromans, SJ, Truyen, TTTT, Tsatsakis, A, Tsegay, GM, Tsermpini, EE, Tumurkhuu, M, Tyrovolas, S, Udoh, A, Umair, M, Umakanthan, S, Umar, TP, Undurraga, EA, Unim, B, Unnikrishnan, B, Unsworth, CA, Upadhyay, E, Urso, D, Usman, JS, Vahabi, SM, Vaithinathan, AG, Van den Eynde, J, Varga, O, Varma, RP, Vart, P, Vasankari, TJ, Vasic, M, Vaziri, S, Vellingiri, B, Venketasubramanian, N, Veroux, M, Verras, G-I, Vervoort, D, Villafañe, JH, Violante, FS, Vlassov, V, Vollset, SE, Volovat, SR, Vongpradith, A, Waheed, Y, Wang, C, Wang, F, Wang, N, Wang, S, Wang, Y, Wang, Y-P, Ward, P, Wassie, EG, Weaver, MR, Weerakoon, KG, Weintraub, RG, Weiss, DJ, Weldemariam, AH, Wells, KM, Wen, YF, Whisnant, JL, Whiteford, HA, Wiangkham, T, Wickramasinghe, DP, Wickramasinghe, ND, Wilandika, A, Wilkerson, C, Willeit, P, Wimo, A, Woldegebreal, DH, Wolf, AW, Wong, YJ, Woolf, AD, Wu, C, Wu, F, Wu, X, Wu, Z, Wulf Hanson, S, Xia, Y, Xiao, H, Xu, X, Xu, YY, Yadav, L, Yadollahpour, A, Yaghoubi, S, Yamagishi, K, Yang, L, Yano, Y, Yao, Y, Yaribeygi, H, Yazdanpanah, MH, Ye, P, Yehualashet, SS, Yesuf, SA, Yezli, S, Yiğit, A, Yiğit, V, Yigzaw, ZA, Yismaw, Y, Yon, DK, Yonemoto, N, Younis, MZ, Yu, C, Yu, Y, Yusuf, H, Zahid, MH, Zakham, F, Zaki, L, Zaki, N, Zaman, BA, Zamora, N, Zand, R, Zandieh, GGZ, Zar, HJ, Zarrintan, A, Zastrozhin, MS, Zhang, H, Zhang, N, Zhang, Y, Zhao, H, Zhong, C, Zhong, P, Zhou, J, Zhu, Z, Ziafati, M, Zielińska, M, Zimsen, SRM, Zoladl, M, Zumla, A, Zyoud, SH, Vos, T, and Murray, CJL
Published: 2024

35. Junior High School Principal's Strategy in Preparing the Generation to Face the Era of Society 5.0

Author: Then, Yoana Merilla Kurniawan, HS, Sufyati, Ramdhani, Sendi, Then, Yoana Merilla Kurniawan, HS, Sufyati, and Ramdhani, Sendi
Abstract: This research was conducted at Parahyangan Mulia Junior High School. The research subject is the principal of Parahyangan Mulia Junior High School Tasikmalaya because the principal is a leader and policy maker at school and must have a specific strategy regarding every policy he takes to deliver those goals. The goal of this research is to analyze the strategy used by the principal in preparing the generation to enter the era of society 5.0. A qualitative approach was employed in this research, and interviews, observations, and literature reviews were used as data collection techniques. The informants were the principal, head of the school team, teachers, and Parahyangan Mulia Junior High School students. The result of this research is the strategy of the principal in preparing the generation for the era of Society 5.0 is carried out through the development of the school's human resource program (character program, STEAM, and life skills) and cooperation with the stakeholders who have the same goals with the school. By implementing this strategy, the abilities of Parahyangan Mulia Junior High School students have increasingly developed according to the personality expected in the era of society 5.0, namely creative, critical, communicative, and collaborative.
Published: 2024

36. Junior High School Principal's Strategy in Preparing the Generation to Face the Era of Society 5.0

Author: Then, Yoana Merilla Kurniawan, HS, Sufyati, Ramdhani, Sendi, Then, Yoana Merilla Kurniawan, HS, Sufyati, and Ramdhani, Sendi
Abstract: This research was conducted at Parahyangan Mulia Junior High School. The research subject is the principal of Parahyangan Mulia Junior High School Tasikmalaya because the principal is a leader and policy maker at school and must have a specific strategy regarding every policy he takes to deliver those goals. The goal of this research is to analyze the strategy used by the principal in preparing the generation to enter the era of society 5.0. A qualitative approach was employed in this research, and interviews, observations, and literature reviews were used as data collection techniques. The informants were the principal, head of the school team, teachers, and Parahyangan Mulia Junior High School students. The result of this research is the strategy of the principal in preparing the generation for the era of Society 5.0 is carried out through the development of the school's human resource program (character program, STEAM, and life skills) and cooperation with the stakeholders who have the same goals with the school. By implementing this strategy, the abilities of Parahyangan Mulia Junior High School students have increasingly developed according to the personality expected in the era of society 5.0, namely creative, critical, communicative, and collaborative.
Published: 2024

37. Language Model Guided Interpretable Video Action Reasoning

Author: Wang, Ning, Zhu, Guangming, Li, HS, Zhang, Liang, Shah, Syed Afaq Ali, Bennamoun, Mohammed, Wang, Ning, Zhu, Guangming, Li, HS, Zhang, Liang, Shah, Syed Afaq Ali, and Bennamoun, Mohammed
Abstract: While neural networks have excelled in video action recognition tasks, their black-box nature often obscures the understanding of their decision-making processes. Recent approaches used inherently interpretable models to analyze video actions in a manner akin to human reasoning. These models, however, usually fall short in performance compared to their black-box counterparts. In this work, we present a new framework named Language-guided Interpretable Action Recognition framework (LaIAR). LaIAR leverages knowledge from language models to enhance both the recognition capabilities and the interpretability of video models. In essence, we redefine the problem of understanding video model decisions as a task of aligning video and language models. Using the logical reasoning captured by the language model, we steer the training of the video model. This integrated approach not only improves the video model's adaptability to different domains but also boosts its overall performance. Extensive experiments on two complex video action datasets, Charades & CAD-120, validates the improved performance and interpretability of our LaIAR framework. The code of LaIAR is available at https://github.com/NingWang2049/LaIAR., Comment: Accepted by CVPR 2024
Published: 2024

38. Polymolecular botanical drug of Orthosiphon stamineus extract (C5OSEW5050ESA) as a complementary therapy to overcome gemcitabine resistance in pancreatic cancer cells.

Author: Yehya, Ashwaq HS, Yehya, Ashwaq HS, Asif, Muhammad, Abdul Majid, Amin MS, Oon, Chern E, Yehya, Ashwaq HS, Yehya, Ashwaq HS, Asif, Muhammad, Abdul Majid, Amin MS, and Oon, Chern E
Abstract: Background and aimGemcitabine remains the cornerstone of pancreatic cancer treatment, despite exhibiting a modest effect on patient survival due to the development of drug resistance. Nuvastatic™ polymolecular botanical drug Orthosiphon stamineus (O. stamineus) is a folklore Asian herbal medicine that is used for the treatment of a variety of ailments. However, little is known about the mechanism of actions of the Nuvastatic™ polymolecular botanical drug of O. stamineus as a complementary therapy in resistant pancreatic cancer. It is postulated that the proprietary O. stamineus extract formulation (ID: C5EOSEW5050ESA) in Nuvastatic™ may sensitise resistant pancreatic cancer cells to gemcitabine. This study was conducted to assess the cytotoxic activity and synergistic effects of C5EOSEW5050ESA in gemcitabine-resistant pancreatic cancer cells.Experimental procedureThe effects of C5EOSEW5050ESA treatment on cell viability, multidrug-resistant genes, epithelial-mesenchymal transition, cellular senescence, cell death, and Notch signalling pathway were evaluated in gemcitabine-resistant Panc-1 cells.Results and conclusionC5EOSEW5050ESA sensitised gemcitabine resistant cells towards C5EOSEW5050ESA-gemcitabine combination treatment by reducing the expression of multidrug-resistant genes and epithelial-mesenchymal transition markers in gemcitabine-resistant cells compared to the control group, possibly through the inhibition of Notch signalling. This study provides valuable insight into using C5EOSEW5050ESA as a potential complementary treatment for resistant pancreatic cancer.
Published: 2023

39. Neurological Manifestations in a Cohort of Egyptian Patients with COVID-19: A Prospective, Multicenter, Observational Study

Author: Mekkawy, DA, Hamdy, S, Abdel-Naseer, M, Shehata, HS, Halfawy, AA, Shalaby, NM, Shehata, GA, Ali, AM, Elmazny, A, Ahmed, SM, Ismail, JH, Ibraheim, A, Abdel-Hamid, HM, Magdy, R, Kabara Ayoub, Y, Taha, AE, Merghany, N, Soliman, NM, Elshebawy, H, Abdelal, SES, El-Ghoneimy, L, Al-Athwari, A, Kishk, NA, Nada, MAF, Farghaly, M, Hassan, A, Hegazy, MI, Abdelalim, A, Mourad, HS, Hassouna, A, Othman, AS, Wijeratne, T, Mekkawy, DA, Hamdy, S, Abdel-Naseer, M, Shehata, HS, Halfawy, AA, Shalaby, NM, Shehata, GA, Ali, AM, Elmazny, A, Ahmed, SM, Ismail, JH, Ibraheim, A, Abdel-Hamid, HM, Magdy, R, Kabara Ayoub, Y, Taha, AE, Merghany, N, Soliman, NM, Elshebawy, H, Abdelal, SES, El-Ghoneimy, L, Al-Athwari, A, Kishk, NA, Nada, MAF, Farghaly, M, Hassan, A, Hegazy, MI, Abdelalim, A, Mourad, HS, Hassouna, A, Othman, AS, and Wijeratne, T
Abstract: BACKGROUND: The COVID-19 pandemic has reached over 276 million people globally with 5.3 million deaths as of 22nd December 2021. COVID-19-associated acute and long-term neurological manifestations are well recognized. The exact profile and the timing of neurological events in relation to the onset of infection are worth exploring. The aim of the current body of work was to determine the frequency, pattern, and temporal profile of neurological manifestations in a cohort of Egyptian patients with confirmed COVID-19 infection. METHODS: This was a prospective study conducted on 582 hospitalized COVID-19 patients within the first two weeks of the diagnosis of COVID-19 to detect any specific or non-specific neurological events. RESULTS: The patients' mean (SD) age was 46.74 (17.26) years, and 340 (58.42%) patients were females. The most commonly encountered COVID-19 symptoms were fever (90.72%), cough (82.99%), and fatigue (76.98%). Neurological events (NE) detected in 283 patients (48.63%) and were significantly associated with a severe COVID-19 at the onset (OR: 3.13; 95% CI: 2.18-4.51; p < 0.0001) and with a higher mortality (OR: 2.56; 95% CI: 1.48-5.46; p = 0.019). The most frequently reported NEs were headaches (n = 167) and myalgias (n = 126). Neurological syndromes included stroke (n = 14), encephalitis (n = 12), encephalopathy (n = 11), transverse myelitis (n = 6) and Guillain-Barré syndrome (n = 4). CONCLUSIONS: Neurological involvement is common (48.63%) in COVID-19 patients within the first two weeks of the illness. This includes neurological symptoms such as anosmia, headaches, as well as a constellation of neurological syndromes such as stroke, encephalitis, transverse myelitis, and Guillain-Barré syndrome. Severity of acute COVID-19 illness and older age are the main risk factors.
Published: 2022

40. From Fluid Flow to Coupled Processes in Fractured Rock: Recent Advances and New Frontiers

Author: Viswanathan, HS, Viswanathan, HS, Ajo-Franklin, J, Birkholzer, JT, Carey, JW, Guglielmi, Y, Hyman, JD, Karra, S, Pyrak-Nolte, LJ, Rajaram, H, Srinivasan, G, Tartakovsky, DM, Viswanathan, HS, Viswanathan, HS, Ajo-Franklin, J, Birkholzer, JT, Carey, JW, Guglielmi, Y, Hyman, JD, Karra, S, Pyrak-Nolte, LJ, Rajaram, H, Srinivasan, G, and Tartakovsky, DM
Abstract: Quantitative predictions of natural and induced phenomena in fractured rock is one of the great challenges in the Earth and Energy Sciences with far-reaching economic and environmental impacts. Fractures occupy a very small volume of a subsurface formation but often dominate fluid flow, solute transport and mechanical deformation behavior. They play a central role in CO2 sequestration, nuclear waste disposal, hydrogen storage, geothermal energy production, nuclear nonproliferation, and hydrocarbon extraction. These applications require predictions of fracture-dependent quantities of interest such as CO2 leakage rate, hydrocarbon production, radionuclide plume migration, and seismicity; to be useful, these predictions must account for uncertainty inherent in subsurface systems. Here, we review recent advances in fractured rock research covering field- and laboratory-scale experimentation, numerical simulations, and uncertainty quantification. We discuss how these have greatly improved the fundamental understanding of fractures and one's ability to predict flow and transport in fractured systems. Dedicated field sites provide quantitative measurements of fracture flow that can be used to identify dominant coupled processes and to validate models. Laboratory-scale experiments fill critical knowledge gaps by providing direct observations and measurements of fracture geometry and flow under controlled conditions that cannot be obtained in the field. Physics-based simulation of flow and transport provide a bridge in understanding between controlled simple laboratory experiments and the massively complex field-scale fracture systems. Finally, we review the use of machine learning-based emulators to rapidly investigate different fracture property scenarios and accelerate physics-based models by orders of magnitude to enable uncertainty quantification and near real-time analysis.
Published: 2022

41. Tuning of oscillation modes by controlling dimensionality of spin structures

Author: Han, HS, Han, HS, Lee, S, Jung, MS, Kim, N, Jung, DH, Kang, M, Ok, HJ, Chao, W, Yu, YS, Hong, JI, Im, MY, Lee, KS, Han, HS, Han, HS, Lee, S, Jung, MS, Kim, N, Jung, DH, Kang, M, Ok, HJ, Chao, W, Yu, YS, Hong, JI, Im, MY, and Lee, KS
Abstract: Harmonic oscillation of spin structures is a physical phenomenon that offers great potential for applications in nanotechnologies such as nano-oscillators and bio-inspired computing. The effective tuning of oscillations over wide frequency ranges within a single ferromagnetic nanoelement is a prerequisite to realize oscillation-based nanodevices, but it has not been addressed experimentally or theoretically. Here, utilizing a vortex core structure, one of spin structures, we report a drastic change of oscillation modes over the frequency range from MHz to sub-GHz in a 100 nm-thick permalloy circular disk. Oscillation mode was found to considerably depend on the shape and dimension of the vortex core structure and various oscillation modes over a wide range of frequencies appeared with dimensional change in the vortex core structure. This work demonstrates that oscillation modes of the vortex core structure can be effectively tuned and opens a way to apply spin structures to oscillation-based technology.
Published: 2022

42. Fragile X-associated tremor ataxia syndrome rating scale: Revision and content validity using a mixed method approach.

Author: Tosin, Michelle HS, Tosin, Michelle HS, Stebbins, Glenn T, Goetz, Christopher G, Hagerman, Randi J, Hessl, David, Zolecki, Melissa A, Todd, Peter K, Leehey, Maureen A, Hall, Deborah A, Tosin, Michelle HS, Tosin, Michelle HS, Stebbins, Glenn T, Goetz, Christopher G, Hagerman, Randi J, Hessl, David, Zolecki, Melissa A, Todd, Peter K, Leehey, Maureen A, and Hall, Deborah A
Abstract: BackgroundThe original Fragile X-associated Tremor Ataxia Syndrome Rating Scale (FXTAS-RS) contained 61 items, some requiring modifications to better meet recommendations for patient-focused rating scale development.PurposeProvide initial validation of a revised version of the FXTAS-RS for motor signs.MethodWe conducted a two-phase mixed-method approach. In Phase 1, revision, we implemented a Delphi technique identifying pertinent domains/subdomains and developing items through expert consensus. In Phase 2, content validation, we conducted cognitive pretesting assessing comprehensibility, comprehensiveness, and relevance of items to FXTAS motor signs.ResultsAfter five rounds of Delphi panel and two rounds of cognitive pretesting, the revised version of the FXTAS-RS was established with 18 items covering five domains and 13 subdomains of motor signs. Cognitive pretesting revealed adequate content validity for the assessment of FXTAS motor signs.ConclusionThe revised FXTAS-RS has been successfully validated for content and it is now ready for large-scale field validation.
Published: 2022

43. Optimizing treatment management of trastuzumab deruxtecan in clinical practice of breast cancer.

Author: Rugo, HS, Rugo, HS, Bianchini, G, Cortes, J, Henning, J-W, Untch, M, Rugo, HS, Rugo, HS, Bianchini, G, Cortes, J, Henning, J-W, and Untch, M
Abstract: IntroductionThe antibody-drug conjugate trastuzumab deruxtecan (T-DXd) targets human epidermal growth factor receptor 2 (HER2) and has been evaluated in patients with HER2-positive unresectable/metastatic breast cancer in the phase II DESTINY-Breast01 trial (NCT03248492; DS8201-A-U201) and the randomized phase III DESTINY-Breast03 trial (NCT03529110; DS8201-A-U302). Approximately 20 additional studies are ongoing in breast cancer, including HER2-low breast cancer, and other solid tumor types within the DESTINY trial program. T-DXd has demonstrated a generally manageable safety profile, with low-grade hematologic and gastrointestinal adverse events (AEs) among the most common; interstitial lung disease (ILD)/pneumonitis has been observed in patients receiving T-DXd and can be severe. This review discusses the management of common AEs and AEs of special interest in patients with HER2-positive unresectable/metastatic breast cancer, including nausea and vomiting, neutropenia, infusion-related reactions, alopecia, fatigue, ILD/pneumonitis, and left ventricular dysfunction.MethodsExpert opinions, institutional protocols, and strategies to help optimize AE management and maximize the potential benefits of T-DXd in patients with breast cancer from five oncologists treating patients with T-DXd in North America and Europe are discussed.ResultsProphylaxis for nausea and vomiting and proactive management of ILD/pneumonitis are especially important in treating patients with T-DXd. Management strategies for other T-DXd-related AEs of interest (e.g. neutropenia, infusion-related reactions, alopecia, fatigue, and left ventricular dysfunction) are also discussed.ConclusionsThis review provides context for understanding the usage, monitoring, and management practices of other health care providers and institutions with experience using T-DXd to help with safe and effective management of T-DXd-related AEs, particularly since the duration of T-DXd treatment may be quite long. Proper ma
Published: 2022

44. Ecosystem restoration job creation potential in Brazil

Author: Brancalion, Pedro HS, Brancalion, Pedro HS, de Siqueira, Ludmila Pugliese, Amazonas, Nino T, Rizek, Mayte B, Mendes, Alex F, Santiami, Edson L, Rodrigues, Ricardo Ribeiro, Calmon, Miguel, Benini, Rubens, Tymus, Julio RC, Holl, Karen D, Chaves, Rafael B, Brancalion, Pedro HS, Brancalion, Pedro HS, de Siqueira, Ludmila Pugliese, Amazonas, Nino T, Rizek, Mayte B, Mendes, Alex F, Santiami, Edson L, Rodrigues, Ricardo Ribeiro, Calmon, Miguel, Benini, Rubens, Tymus, Julio RC, Holl, Karen D, and Chaves, Rafael B
Abstract: The central motivation to restore ecosystems at a planetary scale has been to reverse degradation and provide multiple environmental benefits, but key global players like governments may be more interested in social outcomes from undertaking restoration, such as job creation. Assessing the job opportunities stemming from ongoing restoration programmes can leverage additional investments for their implementation and support their long‐term maintenance. Here, we aimed to understand and quantify current and potential ecosystem restoration jobs in Brazil, based on a widely distributed online survey performed in 2020 and led by the main restoration networks in the country. We explored the structure, job distribution and outputs of the national restoration supply chain. At the beginning of 2020, 4713 temporary and 3510 permanent jobs were created, nearly 60% of which were generated by organizations specialized in restoration, mainly from the non‐profit (48%) and private (37%) sectors. Restoration jobs were concentrated in organizations working in one (58%) or two (28%) biomes, and the vast majority were in the Atlantic Forest (85%). Similarly, most restoration jobs were concentrated in the southeast region (61%), with one‐third in the state of São Paulo. This geographical distribution was more strongly associated with the states' GDP than with the legal deficit of native vegetation area. Nearly 20% of the restoration jobs were terminated during the COVID‐19 pandemic in 2020. We estimate that restoration activities can generate 0.42 jobs per hectare undergoing restoration, which could potentially create 1.0–2.5 million direct jobs through the implementation of Brazil's target of restoring 12 million hectares. We conclude by reinforcing the value of ecosystem restoration in promoting economic development and job creation, which can be crucial to promote countries' effective engagement in the UN Decade on Ecosystem Restoration. We also highlight the criti
Published: 2022

45. The tRNA methyltransferase TrmB is critical for Acinetobacter baumannii stress responses and pulmonary infection.

Author: Trent, MS, McGuffey, JC, Jackson-Litteken, CD, Di Venanzio, G, Zimmer, AA, Lewis, JM, Distel, JS, Kim, KQ, Zaher, HS, Alfonzo, J, Scott, NE, Feldman, MF, Trent, MS, McGuffey, JC, Jackson-Litteken, CD, Di Venanzio, G, Zimmer, AA, Lewis, JM, Distel, JS, Kim, KQ, Zaher, HS, Alfonzo, J, Scott, NE, and Feldman, MF
Abstract: As deficiencies in tRNA modifications have been linked to human diseases such as cancer and diabetes, much research has focused on the modifications' impacts on translational regulation in eukaryotes. However, the significance of tRNA modifications in bacterial physiology remains largely unexplored. In this paper, we demonstrate that the m7G tRNA methyltransferase TrmB is crucial for a top-priority pathogen, Acinetobacter baumannii, to respond to stressors encountered during infection, including oxidative stress, low pH, and iron deprivation. We show that loss of TrmB dramatically attenuates a murine pulmonary infection. Given the current efforts to use another tRNA methyltransferase, TrmD, as an antimicrobial therapeutic target, we propose that TrmB, and other tRNA methyltransferases, may also be viable options for drug development to combat multidrug-resistant A. baumannii.
Published: 2023

46. Revisiting deficits in threat and safety appraisal in obsessive-compulsive disorder

Author: Hearne, LJ, Breakspear, M, Harrison, BJ, Hall, CV, Savage, HS, Robinson, C, Sonkusare, S, Savage, E, Nott, Z, Marcus, L, Naze, S, Burgher, B, Zalesky, A, Cocchi, L, Hearne, LJ, Breakspear, M, Harrison, BJ, Hall, CV, Savage, HS, Robinson, C, Sonkusare, S, Savage, E, Nott, Z, Marcus, L, Naze, S, Burgher, B, Zalesky, A, and Cocchi, L
Abstract: Current behavioural treatment of obsessive-compulsive disorder (OCD) is informed by fear conditioning and involves iteratively re-evaluating previously threatening stimuli as safe. However, there is limited research investigating the neurobiological response to conditioning and reversal of threatening stimuli in individuals with OCD. A clinical sample of individuals with OCD (N = 45) and matched healthy controls (N = 45) underwent functional magnetic resonance imaging. While in the scanner, participants completed a well-validated fear reversal task and a resting-state scan. We found no evidence for group differences in task-evoked brain activation or functional connectivity in OCD. Multivariate analyses encompassing all participants in the clinical and control groups suggested that subjective appraisal of threatening and safe stimuli were associated with a larger difference in brain activity than the contribution of OCD symptoms. In particular, we observed a brain-behaviour continuum whereby heightened affective appraisal was related to increased bilateral insula activation during the task (r = 0.39, pFWE = .001). These findings suggest that changes in conditioned threat-related processes may not be a core neurobiological feature of OCD and encourage further research on the role of subjective experience in fear conditioning.
Published: 2023

47. Sudden cardiac death related to physical exercise in the young: a nationwide cohort study of Australia

Author: Ha, FJ, Han, H-C, Sanders, P, La Gerche, A, Teh, AW, Farouque, O, Lim, HS, Ha, FJ, Han, H-C, Sanders, P, La Gerche, A, Teh, AW, Farouque, O, and Lim, HS
Abstract: BACKGROUND: Sudden cardiac death (SCD) during physical exercise is devastating. AIMS: To evaluate causes and circumstances of exercise-related SCD in the young in Australia. METHODS: We reviewed the National Coronial Information System database for deaths in Australia relating to cardiovascular disease in cases aged 10-35 years between 2000 and 2016. Cases who had undertaken physical exercise at the time of the event were included. We collected demographics, circumstances of death, type of physical exercise, bystander cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use prior to ambulance arrival. RESULTS: Over a 17-year period, 1925 SCD cases were identified, of which 110 (6%) cases (median age 27 years (interquartile range 21-32 years); 92% male) were related to sports/physical exercise. Thirteen (12%) cases occurred in active athletes. Most common causes were coronary artery disease (CAD; 37%) and sudden arrhythmic death syndrome (SADS; 20%). Among Aboriginal and Torres Strait Islanders (n = 10), all deaths were related to CAD. Australian Rules Football (24%), running/jogging (14%) and soccer (14%) were the most frequent physical exercise activities. Prior symptoms were present in 39% (chest pain 37%, pre-syncope/syncope 26%). Most (87%) were witnessed, with bystander CPR in 70%. AED use prior to ambulance arrival was 8%. CONCLUSIONS: The present study demonstrates the high occurrence of CAD and SADS in SCD in the young related to physical exercise. Aboriginal and Torres Strait Islanders were disproportionately affected by CAD. Although events were commonly witnessed, AED was seldom used prior to ambulance arrival and highlights an important opportunity to improve outcomes in the post-arrest chain of survival.
Published: 2023

48. Implementierung des Fragebogens zur erlebten Patient:innenorientierung (EPAT) in der Routineversorgung: Eine Interviewstudie

Author: Zeh, S, Haufschild, C, Führes, HS, Christalle, E, Scholl, I, Zeh, S, Haufschild, C, Führes, HS, Christalle, E, and Scholl, I
Published: 2023

49. Long term results of MAKO robot-assisted knee arthroplasty. A longitudinal study

Author: Heinemeyer, HS, Wilhelm, NJ, Pohlig, F, Burgkart, R, von Eisenhart-Rothe, R, Glowalla, C, Heinemeyer, HS, Wilhelm, NJ, Pohlig, F, Burgkart, R, von Eisenhart-Rothe, R, and Glowalla, C
Published: 2023

50. Pyrimidine-morpholine hybrids as potent druggable therapeutics for Alzheimer's disease: Synthesis, biochemical and in silico analyses

Author: Zaib, S, Younas, MT, Khan, I, Ali, HS, McAdam, CJ, White, JM, Jaber, F, Awwad, NS, Ibrahium, HA, Zaib, S, Younas, MT, Khan, I, Ali, HS, McAdam, CJ, White, JM, Jaber, F, Awwad, NS, and Ibrahium, HA
Abstract: The identification of effective and druggable cholinesterase inhibitors to treat progressive neurodegenerative Alzheimer’s disorder remains a continuous drug discovery hunt. In this perspective, the present study investigates the design and discovery of pyrimidine-morpholine hybrids (5a-l) as potent cholinesterase inhibitors. Palladium-catalyzed Suzuki-Miyaura cross-coupling reaction was employed to introduce the structural diversity on the pyrimidine heterocyclic core. A range of commercially available boronic acids was successfully coupled showing a high functional group tolerance. In vitro cholinesterase inhibitory potential using Ellman’s method revealed significantly strong potency. Compound 5h bearing a meta-tolyl substituent at 2-position of pyrimidine ring emerged as a lead candidate against AChE with an inhibitory potency of 0.43 ± 0.42 µM, ∼38-fold stronger value than neostigmine (IC50 = 16.3 ± 1.12 µM). Compound 5h also showed the lead inhibition against BuChE with an IC50 value of 2.5 ± 0.04 µM. The kinetics analysis of 5h revealed the non-competitive mode of inhibition against AChE whereas computational modelling results of potent leads depicted diverse contacts with the binding site amino acid residues. Molecular dynamics simulations revealed the stability of biomolecular system, while, ADME analysis demonstrated druglikeness behaviour of potent compounds. Overall, the investigated pyrimidine-morpholine scaffold presented a remarkable potential to be developed as efficacious anti-Alzheimer’s drugs.
Published: 2023

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