4,789 results on '"Noel, C"'
Search Results
252. Recurrent Thrombosis and Bleeding in Patients with Cancer-Associated Venous Thromboembolism Receiving Anticoagulation: Are These Modifiable Risk Factors for Mortality?
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Ke Xu and Noel C. Chan
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Hematology - Published
- 2023
253. Changes in bone mineral density after kidney transplantation: 2-year assessment of a French cohort
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Segaud, N., Legroux, I., Hazzan, M., Noel, C., and Cortet, B.
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- 2018
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254. Synthesis of nanomaterials by electrode erosion using discharges in liquids.
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Nominé, A. V., Gries, Th., Noel, C., Nominé, A., Milichko, V., and Belmonte, T.
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NANOSTRUCTURED materials ,METAL erosion ,ELECTRODES ,LIQUIDS ,WAGES ,MONODISPERSE colloids - Abstract
Discharges in liquids are very efficient to synthesize nanoparticles by electrode erosion. This simple process is only simple in appearance. Mechanisms responsible for the production of nanoparticles are several depending on the choice of process parameters. They determine size distributions, shapes, composition, and defects of produced particles. They also control their possible assembly into more complex structures. This article describes the basic physics of nanoparticles' synthesis by discharges in liquids using electrodes and gives a summary of the research efforts that have been devoted to the understanding of this process. A special attention is paid to thermodynamics of these systems driven by discharges that are at or close to local equilibrium. Although a complete picture is not available yet, huge progress has been made and offers new capabilities for a better control of these kinds of processes. Finally, among important challenges that are still to tackle, the possibility of forming nanoalloys from immiscible elements or achieving unimodal monodisperse size distributions is questioned from the current mastery reached in this field. [ABSTRACT FROM AUTHOR]
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- 2021
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255. Sub-wavelength modulation of χ(2) optical nonlinearity in organic thin films
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Yixin Yan, Yakun Yuan, Baomin Wang, Venkatraman Gopalan, and Noel C. Giebink
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Science - Abstract
Materials with spatially modulated nonlinear optical properties are used for quasi-phase matching. Here, Yanet al. exploit the nonlinearity of intermolecular charge transfer states together with oblique-angle deposition to achieve nanoscale modulation of the second-order susceptibility.
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- 2017
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256. An examination of a juvenile justice diversion program for youth with mental health needs and traumatic stress symptoms: a strengths-based approach
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Faith Summersett Williams, Rachel M. Sax, Noel C. Slesinger, Neil Jordan, Doug Sharp, Noshwerwan Yazin, Zoran Martinovich, and Tracy Fehrenbach
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Law ,General Psychology ,Pathology and Forensic Medicine - Published
- 2022
257. Reference-aided full-length transcript assembly, cDNA cloning, and molecular characterization of coronatine-insensitive 1b (COI1b) gene in coconut (Cocos nucifera L.)
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Frenzee Kroeizha L. Pammit, Anand Noel C. Manohar, Darlon V. Lantican, Jen Daine L. Nocum, Roanne R. Gardoce, and Hayde F. Galvez
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Genetics ,General Medicine ,Molecular Biology - Published
- 2022
258. Neuro-Ophthalmic Literature Review
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Bellows, David A., primary, Chan, Noel C. Y., additional, Chen, John J., additional, Cheng, Hui-Chen, additional, Jindahra, Panitha, additional, MacIntosh, Peter W., additional, McClelland, Collin, additional, Vaphiades, Michael S., additional, and Zhang, Xiaojun, additional
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- 2023
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259. Toward Nonepitaxial Laser Diodes
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Gunnarsson, William B., primary, Roh, Kwangdong, additional, Zhao, Lianfeng, additional, Murphy, John P., additional, Grede, Alex J., additional, Giebink, Noel C., additional, and Rand, Barry P., additional
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- 2023
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260. Probing Polaron Environment in a Doped Polymer via the Photoinduced Stark Effect
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Umar, Abdul Rashid, primary, Dorris, Austin L., additional, Kotadiya, Naresh M., additional, Giebink, Noel C., additional, Collier, Graham S., additional, and Grieco, Christopher, additional
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- 2023
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261. Factors Associated with Normal-Weight Abdominal Obesity Phenotype in a Representative Sample of the Peruvian Population: A 4-Year Pooled Cross-Sectional Study
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Guerra Valencia, Jamee, primary, Saavedra-Garcia, Lorena, additional, Vera-Ponce, Víctor Juan, additional, Espinoza-Rojas, Rubén, additional, and Barengo, Noel C., additional
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- 2023
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262. Dispersive Charge Transfer State Electroluminescence in Organic Solar Cells
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Lampande, Raju, primary, Pizano, Adrian, additional, Gui, Manting, additional, Cawthorn, Robert, additional, Rand, Barry P., additional, and Giebink, Noel C., additional
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- 2023
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263. Microcell concentrating photovoltaics for space
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Ruud, Christian J., primary, Gordon, Jeffrey M., additional, and Giebink, Noel C., additional
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- 2023
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264. Evaluation de l'impact de la solution hydro alcoolique sur la colonisation bactérienne des ongles vernis après lavages des mains.
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Noel, C., primary, Krurnhorn, N., additional, Dalix, A., additional, Garnier, J, additional, Ouali, F., additional, Pitsch, A., additional, de Farcy de Pontfarcy, A., additional, Diamatis, S., additional, and Rouyer, M., additional
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- 2023
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265. Antibiothérapie alternative aux carbapénèmes dans le traitement des infections a entérobactéries sécrétrices de betalactamase à spectre élargi (EBLSE) : Étude de cohorte rétrospective.
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Zanardo, L., primary, Matta, M., additional, Noel, C., additional, Mourre, E., additional, Gounelle, L., additional, Guludzade, B., additional, de Pontfarcy, A., additional, Rouyer, M., additional, chakvetadze, E., additional, and Diamantis, S, additional
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- 2023
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266. Electrochemical Doping of Halide Perovskites by Noble Metal Interstitial Cations
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Kerner, Ross A., primary, Cohen, Ayala V., additional, Xu, Zhaojian, additional, Kirmani, Ahmad R., additional, Park, So Yeon, additional, Harvey, Steven P., additional, Murphy, John P., additional, Cawthorn, Robert C., additional, Giebink, Noel C., additional, Luther, Joseph M., additional, Zhu, Kai, additional, Berry, Joseph J., additional, Kronik, Leeor, additional, and Rand, Barry P., additional
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- 2023
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267. Scheelite trace element compositions: A robust new tool for mineral exploration
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Nie, Liqing, primary, Wang, Fangyue, additional, White, Noel C., additional, Zhang, Dayu, additional, Yan, Chao, additional, and Wang, Xinlong, additional
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- 2023
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268. Routine measurement of DOAC concentrations for prognostication and clinical management in acute ischemic stroke: Is it ready for prime time?
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Carlin, Stephanie, primary, Chan, Noel C., additional, and Douketis, James D., additional
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- 2023
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269. Building bi-directional referral and communication pathways across the community-clinic divide: Experiences from a systems-informed innovation project in Los Angeles
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DeFosset, Amelia R., primary, Barragan, Noel C., additional, Green, Gabrielle, additional, Morrison, Janina L., additional, and Kuo, Tony, additional
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- 2023
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270. Continuous-wave lasing in an organic–inorganic lead halide perovskite semiconductor
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Jia, Yufei, Kerner, Ross A., Grede, Alex J., Rand, Barry P., and Giebink, Noel C.
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- 2017
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271. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries
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Adisa, A, Bahrami-Hessari, M, Bhangu, A, George, C, Ghosh, D, Glasbey, J, Haque, P, Ingabire, J, Kamarajah, S, Kudrna, L, Ledda, V, Li, E, Lillywhite, R, Mittal, R, Nepogodiev, D, Ntirenganya, F, Picciochi, M, Simões, J, Booth, L, Elliot, R, Kennerton, A, Pettigrove, K, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, J, Smith, A, Sayed, A, Goswami, A, Malik, A, Mclean, A, Hassan, A, Nazimi, A, Aladna, A, Abdelgawad, A, Saed, A, Abdelmageed, A, Ghannam, A, Mahmoud, A, Alvi, A, Ismail, A, Adesunkanmi, A, Ebrahim, A, Al-Mallah, A, Alqallaf, A, Durrani, A, Gabr, A, Kirfi, A, Altaf, A, Almutairi, A, Sabbagh, A, Ajiya, A, Haddud, A, Alnsour, A, Singh, A, Mittal, A, Semple, A, Adeniran, A, Negussie, A, Oladimeji, A, Muhammad, A, Yassin, A, Gungor, A, Tarsitano, A, Soibiharry, A, Dyas, A, Frankel, A, Peckham-Cooper, A, Truss, A, Issaka, A, Ads, A, Aderogba, A, Adeyeye, A, Ademuyiwa, A, Sleem, A, Papa, A, Cordova, A, Appiah-Kubi, A, Meead, A, Nacion, A, Michael, A, Forneris, A, Duro, A, Gonzalez, A, Altouny, A, Ghazal, A, Khalifa, A, Ozair, A, Quzli, A, Haddad, A, Othman, A, Yahaya, A, Elsherbiny, A, Nazer, A, Tarek, A, Abu-Zaid, A, Al-Nusairi, A, Azab, A, Elagili, A, Elkazaz, A, Kedwany, A, Nuhu, A, Sakr, A, Shehta, A, Shirazi, A, Mohamed, A, Sherif, A, Awad, A, Abbas, A, Abdelrahman, A, Ammar, A, Azzam, A, Ciftci, A, Dural, A, Sanli, A, Rahy-Martín, A, Tantri, A, Khan, A, Al-Touny, A, Tariq, A, Gmati, A, Costas-Chavarri, A, Auerkari, A, Landaluce-Olavarria, A, Puri, A, Radhakrishnan, A, Ubom, A, Pradhan, A, Turna, A, Adepiti, A, Kuriyama, A, Kassam, A, Hassouneh, A, El-Hussuna, A, Habeebullah, A, Mousli, A, Biloslavo, A, Hoang, A, Kirk, A, Santini, A, Melero, A, Calvache, A, Baduell, A, Chan, A, Abrate, A, Balduzzi, A, Sánchez, A, Navarrete-Peón, A, Porcu, A, Brolese, A, Barranquero, A, Saibene, A, Adam, A, Vagge, A, Maquilón, A, Leon-Andrino, A, Sekulić, A, Trifunovski, A, Mako, A, Bedada, A, Broglia, A, Coppola, A, Giani, A, Grandi, A, Iacomino, A, Moro, A, D’Amico, A, Malagnino, A, Tang, A, Doyle, A, Alfieri, A, Haynes, A, Wilkins, A, Baldwin, A, Heriot, A, Laird, A, Lazarides, A, O'Connor, A, Trulson, A, Rokohl, A, Caziuc, A, Triantafyllou, A, Anesi, A, Nikova, A, Andrianakis, A, Charalabopoulos, A, Tsolakidis, A, Chirca, A, Arnaud, A, Narvaez-Rojas, A, Kavalakat, A, Spina, A, Recordare, A, Annicchiarico, A, Conti, A, Mohammed, A, Kocataş, A, Almhimid, A, Arnaout, A, Fahmy, A, Mangi, A, Modabber, A, Ulas, A, Mohamedahmed, A, Frontali, A, Moynihan, A, Yunus, A, Ahmad, A, Kent, A, Khamees, A, Ugwu, A, Turan, A, Navarro-Barrios, A, Yebes, A, De Sousa, Á, Moreno, A, Sethi, A, Dawson, A, Kaur, A, Wolde, A, Antonelli, A, Scifo, A, Alhamad, A, Davis, A, Alderazi, A, Harky, A, Mohammed-Durosinlorun, A, Seguya, A, Okhakhu, A, Chamakhi, A, Sebai, A, Souadka, A, Asla, A, Agrawal, A, Persad, A, Gupta, A, Elgazar, A, Kulkarni, A, Coates, A, Bellés, A, Hadzibegovic, A, Jotic, A, Kowark, A, Martins, A, Pineda, A, Peral, A, Gollarte, A, Senent-Boza, A, Camarena, A, Castaño-Leon, A, Bravo, A, Musina, A, Tapia-Herrero, A, Kothari, A, Raja, A, Aljaiuossi, A, Taha, A, Majbar, A, Prodromidou, A, Kanatas, A, Gupte, A, Zakaria, A, Balla, A, Barberis, A, Bondurri, A, Bottari, A, Costantino, A, Figus, A, Lauretta, A, Mingoli, A, Romanzi, A, Sagnotta, A, Scacchi, A, Picchetto, A, Valadez, A, Luzzi, A, Älgå, A, Fontalis, A, Hecker, A, Demetriades, A, Serban, A, Văcărașu, A, Cokan, A, Isaza-Restrepo, A, Beamish, A, Schache, A, Stevenson, A, Yiu, A, Cockbain, A, Litvin, A, Abad-Motos, A, Becerra, A, Ramos, Á, Chiaradia, A, Dell, A, Romano, A, Pascale, A, Marra, A, Dimas, A, Kolias, A, Cerovac, A, Koneru, A, Tidjane, A, Agbeko, A, Bajaj, A, Gosain, A, Allan, A, Carreras-Castañer, A, D'Amore, A, Dare, A, Maffioli, A, Palepa, A, Paspala, A, Konney, A, Gatta, A, Ezanno, A, Yiallourou, A, Kinnair, A, Rayner, A, Scafa, A, Bowan, A, Veglia, A, Russo, A, Maniaci, A, Castaldi, A, Gil-Moreno, A, Maffuz-Aziz, A, Meola, A, Nenna, A, Ferrer, A, Bonilla, A, Ramos-De La Medina, A, Infante, A, Santoro, A, Laganà, A, Bateman, A, Abozid, A, Seidu, A, Lowery, A, Tantraworasin, A, Rasheed, A, Picciariello, A, Isik, A, Saif, A, Anjum, A, Ioannidis, A, Abeldaño, A, Hussain, A, Nathan, A, Bedzhanyan, A, Perfecto, A, De Virgilio, A, Galvan, A, Sablotzki, A, Böttcher, A, Pellacani, A, Gatti, A, Ibrahimli, A, Menon, A, Sahni, A, Mwenda, A, Choudhry, A, Jayawardane, A, Ramasamy, A, Mitul, A, Bawa, A, Nugur, A, Rammohan, A, Sachdeva, A, Mehraj, A, Yildirim, A, Alqaseer, A, Radwan, A, Sallam, A, Syllaios, A, Tampakis, A, Alwael, A, Samara, A, Eroglu, A, Rahman, A, Ulkucu, A, Zaránd, A, Dulskas, A, Tawiah, A, Zani, A, Vas, A, Lukosiute-Urboniene, A, Adamu, A, Aujayeb, A, İplikçi, A, Mahmud, A, Cil, A, Makanjuola, A, Akwaisah, A, Galandarova, A, Saracoglu, A, Regan, A, Barlas, A, Alhassan, B, Mostafa, B, Hamida, B, Torun, B, Abdullah, B, Balagobi, B, Banky, B, Singh, B, Alegbeleye, B, Yigit, B, Hajjaj, B, Burgos-Blasco, B, Seeliger, B, Alayande, B, Alhazmi, B, Enodien, B, Torre, B, Pérez, B, Tamayo, B, De Andrés-Asenjo, B, Quintana-Villamandos, B, Girgin, B, Barmayehvar, B, Beisenov, B, Creavin, B, Dunne, B, Marson, B, Waterson, B, Martin, B, Zucker, B, Wong, B, Ozmen, B, Hammond, B, Mbwele, B, Núñez, B, Dhondt, B, Gafsi, B, Mcleish, B, Lieske, B, Tailor, B, La Pira, B, Picardi, B, Zampogna, B, Casagranda, B, Festa, B, Panda, B, Kirmani, B, Sulaiman, B, Gurung, B, Zacharia, B, Bette, B, Ayana, B, Nikolovska, B, Vilaró, B, De Vega Sánchez, B, Hameed, B, Diaconescu, B, Kovacevic, B, Bumber, B, Sakakushev, B, Tadic, B, Malek, B, Alrayes, B, Thomas, B, Gális, B, Gallagher, B, Knowles, B, Cunningham, B, Daley, B, Mishra, B, Ashford, B, Pirozzi, B, Berselli, B, Martinez-Leo, B, Sensi, B, Nardo, B, Celik, B, Giray, B, Abud, B, Almiqlash, B, Pramesh, C, Taskiran, C, De Campos Prado, C, Cipolla, C, Kumar, C, English, C, Riccetti, C, Vanni, C, Brasset, C, Downey, C, Duffy, C, Chwat, C, Cutmore, C, Sars, C, Ratto, C, Pacilio, C, De La Infiesta García, C, Moreno, C, Magalhães, C, Prada, C, Zapata, C, Senni, C, Flumignan, C, Martinez-Perez, C, Duarte, C, Garcia, C, Anderson, C, Hing, C, Cullinane, C, Cina, C, Zabkiewicz, C, Sohrabi, C, Guldogan, C, Ciubotaru, C, Desai, C, Raut, C, Demetriou, C, Handford, C, Okpani, C, Paranjape, C, Koh, C, Khatri, C, Parmar, C, Mok, C, Caricato, C, Marafante, C, Echieh, C, Tan, C, Ong, C, Conso, C, Jardinez, C, Konrads, C, Warner, C, Makwe, C, Henein, C, Fleming, C, Roland, C, Maurus, C, Nitschke, C, Mittermair, C, Mallmann, C, Andro, C, Harmston, C, Kuppler, C, Lotz, C, Nahm, C, Rowe, C, Ryalino, C, Wallis, C, Millward, C, Anthoulakis, C, Apostolou, C, Chouliaras, C, Kalfountzos, C, Kaselas, C, Vosinakis, C, Okereke, C, Chean, C, Barlow, C, Tatar, C, Clancy, C, Forde, C, Sharpin, C, Mccarthy, C, Nestor, C, Warden, C, Ávila, C, Massaguer, C, Fang, C, Martins, C, Guerci, C, Mauriello, C, Holzmeister, C, Miller, C, Weber, C, Wiesinger, C, Kenington, C, Noel, C, Sue-Chue-Lam, C, Adumah, C, Neary, C, Sen, C, Fitzgerald, C, Ezeme, C, Nastos, C, Mesina, C, Bombardini, C, Torregrosa, C, Valdespino, C, Don, C, Wickramasinghe, D, Milanesi, D, Armijos, D, Asiimwe, D, Beswick, D, Clerc, D, Cox, D, Doherty, D, Martínez, D, Lechuga, D, Gero, D, Gil-Sala, D, Lindegger, D, Reim, D, Shaerf, D, Shmukler, D, Branzan, D, Filipescu, D, Rega, D, Bernardi, D, Bissacco, D, Fusario, D, Morezzi, D, Sabella, D, Zimak, D, Vinci, D, Sale, D, Khan, D, Thereska, D, Andreotti, D, Tartaglia, D, Abdulai, D, Mukherjee, D, Verdi, D, Idowu, D, John, D, Johnson, D, Moro-Valdezate, D, Naumann, D, Omar, D, Proud, D, Roberts, D, Guzmán, D, Watson, D, Bergkvist, D, Lumenta, D, Ferrari, D, Rizzo, D, Degarege, D, Castillo, D, Douglas, D, Wright, D, Nanjiani, D, Bratus, D, Altun, D, Sievers, D, Vaysburg, D, Katechia, D, Azize, D, Rodrigues, D, Pachajoa, D, Hayne, D, Mutter, D, Raimondo, D, Eskinazi, D, Sasia, D, Corallino, D, Muduly, D, Grewal, D, Hadzhiev, D, Peristeri, D, Pournaras, D, Raptis, D, Angelou, 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Corte, E, Rausa, E, Odai, E, Guasch, E, Cano-Trigueros, E, Uldry, E, Ros, E, Matthews, E, Donmez, E, Giorgakis, E, Kapetanakis, E, Stamatakis, E, Bua, E, Schneck, E, Nachelleh, E, Ofori, E, Akin, E, Gönüllü, E, Kirkan, E, Çelik, E, Wong, E, Capozzi, E, Pinotti, E, Colás-Ruiz, E, González, E, Fekaj, E, Ohazurike, E, Kebede, E, Erginöz, E, Duran, E, Scott, E, Aytac, E, Albanese, E, Castro, E, Albayadi, E, Kriem, E, Siddig, E, Otify, E, El Tayeb, E, Hong, E, Saguil, E, Belzile, E, Tuyishime, E, Panieri, E, Martínez, E, Myriokefalitaki, E, Samara, E, Agbeno, E, Drozdov, E, Tokidis, E, Shah, F, Barra, F, Carbone, F, Ferreli, F, Marino, F, Martinelli, F, D'Acapito, F, Masciello, F, Bàmbina, F, Issa, F, Salameh, F, Kethy, F, Mahmood, F, Gareb, F, Idrees, F, Karimian, F, Ashraf, F, Haji, F, Inayat, F, Begum, F, Nabil, F, Rosa, F, Haider, F, Parray, F, Calculli, F, Ferracci, F, Saraceno, F, Coppola, F, Coccolini, F, Fusini, F, Migliorelli, F, Pecoraro, F, Alconchel, F, Coimbra, F, Trivik-Barrientos, F, Naegele, F, Almarshad, F, Agresta, F, Fleming, F, Mendoza-Moreno, F, Brzeszczyński, F, Carannante, F, Wu, F, Aljanadi, F, Hayati, F, Campo, F, Sorbi, F, Milana, F, Takeda, F, Shekleton, F, Gessler, F, Recker, F, Grama, F, Cherbanyk, F, Faponle, F, Angelis, F, Calabretto, F, Gaino, F, Toia, F, Bianco, F, Bussu, F, Cammarata, F, Castagnini, F, Colombo, F, Ferrara, F, Fleres, F, Guerrera, F, Litta, F, Mongelli, F, Pata, F, Roscio, F, Mulita, F, Ardura, F, Tejero-Pintor, F, Calvo, F, Escobedo, F, Camacho, F, Odicino, F, Schmitt, F, Bloemers, F, Hölzle, F, Gyamfi, F, Messner, F, Koh, F, Cáceres, F, Smolle-Juettner, F, Herman, F, Ayeni, F, Djedovic, G, De Oliveira, G, Rodrigues, G, Wagner, G, Bellio, G, Giarratano, G, Capolupo, G, Budd, G, Marom, G, Poillucci, G, Thiruchandran, G, Nicholson, G, Groot, G, Hoey, G, Bass, G, Sachdev, G, Agarwal, G, Aggarwal, G, Cormio, G, Mazzarella, G, Perrone, G, Osterhoff, G, Singer, G, Dejeu, G, Fowler, G, Garas, G, Gradinariu, G, Theodoropoulos, G, Tzimas, G, Babis, G, Wong, G, Cross, G, Micha, G, Chrysovitsiotis, G, Koukoulis, G, Peros, G, Tsoulfas, G, Kapetanios, G, Karagiannidis, G, Verras, G, Ekwen, G, Perrotta, G, Petruzzi, G, Bertelli, G, Calini, G, Fiacchini, G, Pirola, G, Dolci, G, Mendiola, G, Baiocchi, G, Palini, G, Prucher, G, D'Andrea, G, Maggiore, G, Cassese, G, Franceschini, G, Pellino, G, Saponaro, G, Pattacini, G, Pantuso, G, Iannella, G, Bonsaana, G, Lever, G, Brachini, G, Giraudo, G, Lisi, G, Russo, G, Aprea, G, Pascale, G, Tomasicchio, G, Sandri, G, Armatura, G, Turri, G, Zaccaria, G, Barugola, G, Lantone, G, Gasparini, G, Iacob, G, Sozzi, G, Zancana, G, Mercante, G, Bianco, G, Brisinda, G, Consorti, G, Currò, G, Giannaccare, G, Palomba, G, Pascarella, G, Rotunno, G, Spriano, G, Vizzielli, G, Cucinella, G, Sica, G, Campisi, G, Guerra, G, Pacheco, G, Atis, G, Augustin, G, Šantak, G, Chauhan, G, Branagan, G, Harris, G, Stewart, G, Padmore, G, Kocher, G, Di Franco, G, De Jesus Labrador 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Beron, Reinaldo Isaacs, Függer, Reinhold, Othman, Rema, Saad, Rema, Amores, Remedios Revilla, Colombari, Renan Carlo, Radivojević, Renata Curic, Patrone, Renato, Novysedlák, René, Huatuco, René Manuel Palacios, Baertschiger, Reto, Liang, Rhea, Luckwell, Rhys, Escrevente, Ricardo, Rezende, Ricardo Fernandes, Cruz, Ricardo Pedrini, Lenzi, Riccardo, Rosati, Riccardo, Donovan, Richard, Egan, Richard, Morris, Richard, Page, Richard, Seglenieks, Richard, Unsworth, Richard, Wilkin, Richard, Skipworth, Richard Je, Davies, Richard Justin, Bezirci, Rifat, Talwar, Rishi, Azami, Rizwan, Bohmer, Rob, Crichton, Robert, Fruscio, Robert, Hooker, Robert, Jach, Robert, Parker, Robert, Pillerstorff, Robert, Sinnerton, Robert, Stabler, Robert, O'connell, Robert Michael, Ragozzino, Roberta, Tutino, Roberta, Angelico, Roberta, Cammarata, Roberto, Colasanti, Roberto, Macchiavello, Roberto, Peltrini, Roberto, Pirrello, Roberto, Vaschetti, Roberto, Pires, Robinson Esteves, Papalia, Rocco, Arrangoiz, Rodrigo, Hompes, Roel, Salah, Rokeya, Pinto, Romina, Flumignan, Ronald, Callan, Rory, Cuthbert, Rory, Dennis, Rory, Scaramuzzo, Rosa, Macías, Rosa Montero, Sánchez, Rosa, Ogu, Rosemary, Ramely, Rosnelifaizur, Sgarzani, Rossella, Ramli, Roszalina, Hillier, Roxane, Thumbadoo, Ruben, Ooi, Rucira, Abdus-Salam, Rukiyat, Masri, Ruqaya, Hodgson, Russell, Mathew, Ryan, Wade, Ryckie, D'archi, Sabatino, Khan, Sabina, Ngaserin, Sabrina, Kale, Sachin, Hassan, Sadiq, Merghani, Safa, Benamar, Safia, Muhammad, Sagir, Badran, Saif, Elsahli, Saifaleslam, Heta, Saimir, Hammouche, Salah, Baeesa, Saleh, Paiella, Salvatore, Eldeen, Samaher Taj Eldeen Hassan Taj, Arkani, Samara, Mittal, Samarth, Hirji, Sameer, Tebha, Sameer, Emile, Sameh, Dbouk, Samer, Bandyopadhyay, Samik Kumar, Muhammad, Saminu, Olori, Samson, Asirifi, Samuel Amoako, Hailu, Samuel, Ling, Samuel, Newman, Samuel, Ross, Samuel, Wanjara, Samuel, Kumar, Sandip, Seneviratne, Sanjeewa, Tamburello, Sara, Suarez, Sara Busto, Ingallinella, Sara, Irshaidat, Sara, Konswa, Sara, Mambrilla, Sara, Nasser, Sara, Parini, Sara, Pitoni, Sara, Ornaghi, Sara, Rodrigues, Sara Castanheira, Abdelmohsen, Sarah, Aitken, Sarah, Tian, Sarah, Badiani, Sarit, Ahmad, Sarwat, Swed, Sarya, Muthu, Sathish, Lakpriya, Sathya, Alzahrani, Saud, Mikalauskas, Saulius, Lasrado, Savita, Satoskar, Savni, Bawa, Sayesha, Altiner, Saygin, Garcia, Sean, Stevens, Sean, Demir, Sebahattin, Ken-Amoah, Sebastian, Tranca, Sebastian, Ziemann, Sebastian, Awad, Selmy, Atici, Semra Demirli, Subramaniam, Sentilnathan, Erel, Serap, Jiang, Serena, Efetov, Sergey, Efremov, Sergey, Katorkin, Sergey, Valladares, Sergio Chávez, Contreras, Sergio Marcos, Meriç, Serhat, Zenger, Serkan, Safi, Seyer, Leventoğlu, Sezai, Elsalhawy, Shady, Shaikh, Shafaque, Sheik, Shahila, Islam, Shahnoor, Shamim, Shahzad, Waqar, Shahzad Hussain, Ahmad, Shahzaib, Farid, Shahzaib, Seraj, Shaikh Sanjid, Sundarraju, Shalini, Karandikar, Sharad, Sambhwani, Sharan, Chopra, Sharat, Chowdhury, Sharfuddin, Laura, Sharon, Ahmed, Sharwany, Wason, Shaun, Tan, Shawn Jia Hwang, Fraser, Sheila, Williams, Shekinah, Ghozy, Sherief, Abdelmawgoud, Sherif, Shehata, Sherif, Sharma, Shilpa, Ahmed, Shima, Al-Touny, Shimaa A, Ramzanali, Shireen, Nah, Shireen Anne, Jansen, Shirley, Rajan, Shiv, Dindyal, Shiva, Amin, Shivang, Ahmad, Shoaib, Shoukrie, Shoukrie I M, Karar, Shoura, Patkar, Shraddha, Abdulsalam, Shuaib, Lin, Shuxun, Hegde, Siddhi, Fiorelli, Silvia, Quaresima, Silvia, Redondo, Silvia Villacé, Palmisano, Silvia, Ruggiero, Silvia, Balogun, Simon, Cais, Simon, Cole, Simon, Federer, Simon, Le Roux, Simon, Ippoliti, Simona, Meneghini, Simona, Viola, Simona, Manfredelli, Simone, Novello, Simone, Gananadha, Sivakumar, Mesli, Smain Nabil, Kale, Smruti, Tani, Sobhana Iftekhar, Malik, Sobia, Anastasiadou, Sofia, Boligo, Sofia, Esposito, Sofia, Valanci, Sofia, Xenaki, Sofia, Pejkova, Sofija, Bandyopadhyay, Soham, Trungu, Sokol, Basu, Somprakas, Alkhatib, Sondos, Pérez-Bertólez, Sonia, Flores, Sonia Lopez, Donoghue, Sophie, Lunca, Sorinel, Orsoo, Soyombo, Potamianos, Spyridon, Devarakonda, Sreekar, Suresh, Sreelakshmi, Croghan, Stefanie M, Turi, Stefano, Capella, Stefano, Lucchini, Stefano, Magnone, Stefano, Salizzoni, Stefano, Scabini, Stefano, Scaringi, Stefano, Cioffi, Stefano Piero Bernardo, Seyfried, Steffen, Degener, Stephan, Potten, Stephanie, Taha-Mehlitz, Stephanie, Ali, Stephen, Angamuthu, Stephen, Mcaleer, Stephen, Knight, Stephen Richard, White, Stuart, Mantziari, Styliani, Kykalos, Stylianos, Goh, Su Kah, Chowdhury, Subhadip Pal, Ibrahim, Sufyan, Elzwai, Suha, Bansal, Sujesh, Tripathy, Sujit, Amrayev, Sultan, Anwar, Sumadi Lukman, Banerjee, Sumit, Thakar, Sumit, Saeed, Summaya, Venkatappa, Sunil Kumar, Das, Sunit, Techapongsatorn, Suphakarn, Dube, Surya Kumar, Lee, Susan, González-Suárez, Susana, Henriques, Susana, Konjevoda, Suzana, Gisbertz, Suzanne, Bravo, Sybil Lizanne, Mannan, Syed, Bukhari, Syed Imran, Zafar, Syed Nabeel, Batista, Sylvia, Chin, Synn Lynn, Arif, Tahera, Lawal, Taiwo Akeem, Aktokmakyan, Talar Vartanoglu, Osborn, Tamara, Szakmany, Tamas, Sztipits, Tamás, Triantafyllou, Tania, Valadez, Tania Abigail Cueto, Singh, Tanveer, Khaliq, Tanwir, Patel, Tapan, Fadalla, Tarig, Jichi, Tarik, Sammour, Tarik, Al-Shaiji, Tariq, Naggs, Taryn, Barišić, Tatjana, Nikolouzakis, Taxiarchis, Bisgin, Tayfun, Perra, Teresa, Uprak, Tevfik Kıvılcım, Dagklis, Themistoklis, Liakakos, Theodore, Sidiropoulos, Theodoros, Adjeso, Theophilus Justus Kofi, Dölker, Theresa, Oung, Thida, Aherne, Thomas, Diehl, Thomas, Pinkney, Thomas, Raymond, Thomas, Rhomberg, Thomas, Schmitz-Rixen, Thomas, Madhuri, Thumuluru Kavitha, Lohmann, Tibor Karl, Yeoh, Tien, Zaimis, Tilemachos, Bright, Tim, Vilz, Tim O, Glowka, Tim R, Board, Timothy, Hardcastle, Timothy, Cohnert, Tina, Mahečić, Tina Tomić, William, Tinka George, Klatte, Tobias, Abbott, Tom, Watcyn-Jones, Tom, Mendes, Tome, Kulis, Tomislav, Sečan, Tomislav, Campagnaro, Tommaso, Frisoni, Tommaso, Simoncini, Tommaso, Violante, Tommaso, Safranovs, Toms Janis, Risteski, Toni, Pang, Tony, Akinyemi, Tosin, Yotsov, Tsanko, Laeke, Tsegazeab, Kochiyama, Tsukasa, Sholadoye, Tunde T, Alekberli, Tural, Ezomike, Uchechukwu, Giustizieri, Ugo, Grossi, Ugo, Köksoy, Ülkü Ceren, Bork, Ulrich, Kisser, Ulrich, Ronellenfitsch, Ulrich, Saeed, Umar, Bracale, Umberto, Jayarajah, Umesh, Rauf, Umme Habiba Abdul, Bumbasirevic, Uros, Ferrer, Ursula María Jariod, Ahmed, Usama, Bello, Usman Mohammed, Jogiat, Uzair, Sadia, Uzma, Galandarov, Vagif, Narayanan, Vairavan, Calu, Valentin, Bianchi, Valentina, Ciniero, Valeria, Tonini, Valeria, Silvestri, Vania, Vijay, Vardhini, Dewan, Varun, Lohsiriwat, Varut, Thuduvage, Vasanthika, Mousafeiris, Vasileios, Dragisic, Vedran, Sasireka, Veerasamy, Santric, Veljko, Kusuma, Venkata Ramana Murthy, Kolli, Venkata Satish, Alonso, Veronica, De Simone, Veronica, Picotti, Veronica, Martínez, Verónica Martín, Panduro-Correa, Vicky, Kakotkin, Victor, Angulo, Victor Pinto, Turrado-Rodriguez, Victor, Krishnamoorthy, Vijay, Ban, Vin Shen, Shah, Vinay, Maiola, Vincenza, Giordano, Vincenzo, La Vaccara, Vincenzo, Lizzi, Vincenzo, Papagni, Vincenzo, Schiavone, Vincenzo, Satchithanantham, Vinojan, Garcia-Virto, Virginia, Jimenez, Virginia, Kumar, Vishal, Shelat, Vishal, Bhat, Vivek, Sodhai, Vivek, Graziadei, Vivien, Kutuzov, Vladislav, Stoyanov, Vladislav, Oktseloglou, Vlasios, Flis, Vojko, Elhassan, Wael Atif Fadl, Yang, Wah, Soon, Wai Cheong, Tashkandi, Wail, Al-Khyatt, Waleed, Mabood, Waleed, Bijou, Walid, Wijenayake, Wasantha, D, Wasim, Krawczyk, Wiktor, Atkins, William, Bolton, William, White, William, Ceelen, Wim, Vagena, Xanthoula, Gozal, Yaacov, Baba, Yabasin Iddrisu, Subramani, Yamini, Jansen, Yanina, Mittal, Yash, Kara, Yasi̇n, Zwain, Yasir, Noureldin, Yasser, Alawneh, Yazan, Aydin, Yener, Lam, Yick Ho, Tang, Yita, Lim, Yizhe, Dean, Yomna, Tanas, Yousef, Su, Yu-Xiong, Fujimoto, Yuki, Altinel, Yuksel, Frolova, Yulia, Oshodi, Yusuf, Fadel, Zahir T, Zahid, Zahra, Elahi, Zain, Djama, Zakarya, Zaheen, Zakia, Jawad, Zaynab, Demetrashvili, Zaza, Gebremeskel, Zersenay, Gudisa, Zewdie, Alyami, Ziyad, Garoufalia, Zoe, Li, Zoe, Zimak, Zoran, Radin, Zorana, and Balogh, Zsolt J
- Abstract
Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was coprioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries.
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- 2023
272. Body-worn IMU array reveals effects of load on performance in an outdoor obstacle course.
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Rachel V Vitali, Stephen M Cain, Lauro V Ojeda, Michael V Potter, Antonia M Zaferiou, Steven P Davidson, Megan E Coyne, Clifford L Hancock, Alyssa Mendoza, Leia A Stirling, and Noel C Perkins
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Medicine ,Science - Abstract
This study introduces a new method to understand how added load affects human performance across a broad range of athletic tasks (ten obstacles) embedded in an outdoor obstacle course. The method employs an array of wearable inertial measurement units (IMUs) to wirelessly record the movements of major body segments to derive obstacle-specific metrics of performance. The effects of load are demonstrated on (N = 22) participants who each complete the obstacle course under four conditions including unloaded (twice) and with loads of 15% and 30% of their body weight (a total of 88 trials across the group of participants). The IMU-derived performance metrics reveal marked degradations in performance with increasing load across eight of the ten obstacles. Overall, this study demonstrates the significant potential in using this wearable technology to evaluate human performance across multiple tasks and, simultaneously, the adverse effects of body-borne loads on performance. The study addresses a major need of military organizations worldwide that frequently employ standardized obstacle courses to understand how added loads influence warfighter performance. Importantly, the findings and conclusions drawn from IMU data would not be possible using traditional timing metrics used to evaluate task performance.
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- 2019
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273. Quantifying warfighter performance in a target acquisition and aiming task using wireless inertial sensors
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Davidson, Steven P., Cain, Stephen M., McGinnis, Ryan S., Vitali, Rachel R., Perkins, Noel C., and McLean, Scott G.
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- 2016
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274. Ciguatera and herbivores: uptake and accumulation of ciguatoxins in Ctenochaetus striatus on the Great Barrier Reef
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Lewis, Richard J, Sellin, Michelle, Gillespie, Noel C, Holmes, Michael J, Keys, Anne, Street, Raewyn, Smythe, Heather, Thaggard, Hazra, Bryce, Sarah, and BioStor
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- 1994
275. Geochemical characteristics of the Shujiadian Cu deposit related intrusion in Tongling: Petrogenesis and implications for the formation of porphyry Cu systems in the Middle–Lower Yangtze River Valley metallogenic belt, eastern China
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Wang, Shiwei, Zhou, Taofa, Yuan, Feng, Fan, Yu, Cooke, David R., Zhang, Lejun, Fu, Bin, and White, Noel C.
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- 2016
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276. Toward Nonepitaxial Laser Diodes
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William B. Gunnarsson, Kwangdong Roh, Lianfeng Zhao, John P. Murphy, Alex J. Grede, Noel C. Giebink, and Barry P. Rand
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General Chemistry - Published
- 2023
277. Dispersive Charge Transfer State Electroluminescence in Organic Solar Cells
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Raju Lampande, Adrian Pizano, Manting Gui, Robert Cawthorn, Barry P. Rand, and Noel C. Giebink
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Renewable Energy, Sustainability and the Environment ,General Materials Science - Published
- 2023
278. Microcell concentrating photovoltaics for space
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Christian J. Ruud, Jeffrey M. Gordon, and Noel C. Giebink
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General Energy - Published
- 2023
279. A Framework for Evaluating Climate Model Performance Metrics
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Baker, Noel C. and Taylor, Patrick C.
- Published
- 2016
280. Electrochemical Doping of Halide Perovskites by Noble Metal Interstitial Cations
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Ross A. Kerner, Ayala V. Cohen, Zhaojian Xu, Ahmad R. Kirmani, So Yeon Park, Steven P. Harvey, John P. Murphy, Robert C. Cawthorn, Noel C. Giebink, Joseph M. Luther, Kai Zhu, Joseph J. Berry, Leeor Kronik, and Barry P. Rand
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Mechanics of Materials ,Mechanical Engineering ,General Materials Science - Published
- 2023
281. Routine measurement of DOAC concentrations for prognostication and clinical management in acute ischemic stroke: Is it ready for prime time?
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Stephanie Carlin, Noel C. Chan, and James D. Douketis
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Internal Medicine - Published
- 2023
282. Applying the World-System theory in the conservation sciences to understand COVID-19 pandemic as a socio-environmental synergy
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Maria Noel C. Hirschfeld, Luiz Roberto R. Faria, Gabriel S. Gil, and Carlos Roberto Fonseca
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Ecology ,Anthropology ,Animal Science and Zoology ,Plant Science ,Nature and Landscape Conservation - Published
- 2023
283. Modeling Attributes from Category-Attribute Proportions.
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Felix X. Yu, Liangliang Cao, Michele Merler, Noel C. F. Codella, Tao Chen 0015, John R. Smith, and Shih-Fu Chang
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- 2014
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284. Profiling Flood Risk through Crowdsourced Flood Level Reports.
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John Noel C. Victorino and Maria Regina Justina E. Estuar
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- 2014
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285. Automated Medical Image Modality Recognition by Fusion of Visual and Text Information.
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Noel C. F. Codella, Jonathan H. Connell, Sharath Pankanti, Michele Merler, and John R. Smith
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- 2014
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286. Factors affecting school choice of computing students.
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Rex Perez Bringula and John Noel C. Victorino
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- 2014
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287. Management of a Left Atrial Appendage Thrombus Due to Atrial Fibrillation Complicating Québec Platelet Disorder
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Laura Goodliffe, Craig Ainsworth, Richard P. Whitlock, Noel C. Chan, Jorge A. Wong, Georges-Étienne Rivard, and Catherine P.M. Hayward
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Cardiology and Cardiovascular Medicine - Published
- 2022
288. Inflammation as a Mechanism and Therapeutic Target in Peripheral Artery Disease
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Noel C. Chan, Ke Xu, Tim A.C. de Vries, John W. Eikelboom, and Jack Hirsh
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Inflammation ,Peripheral Arterial Disease ,Risk Factors ,Anti-Inflammatory Agents ,Humans ,Atherosclerosis ,Cardiology and Cardiovascular Medicine - Abstract
Peripheral artery disease is 1 of 3 major clinical manifestations of atherosclerosis, the other 2 being coronary artery and cerebrovascular disease. Despite progress in surgery, antithrombotic therapy and therapies that modify conventional risk factors (lipid-, blood pressure-, and glucose-lowering interventions), patients with peripheral artery disease have an unacceptably high risk of vascular complications. Additional strategies to reduce this residual risk are needed. The accumulated evidence that inflammation plays an important role in the pathogenesis of atherosclerosis has spurred recent efforts to evaluate anti-inflammatory agents as an additional therapeutic approach for atherothrombosis prevention and treatment. In this review, we examine the evidence supporting the role of inflammation in atherosclerosis, review recent trials of anti-inflammatory approaches to reduce cardiovascular complications, and offer insights into the opportunities for novel anti-inflammatory strategies to reduce the burden of cardiovascular and limb complications in patients with peripheral artery disease.
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- 2022
289. Issues of context, capacity and scale: Essential conditions and missing links for a sustainable blue economy
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Holly J. Niner, Noel C. Barut, Tom Baum, Daniela Diz, Daniela Laínez del Pozo, Stuart Laing, Alana Malinde S.N. Lancaster, Kirsty A. McQuaid, Tania Mendo, Elisa Morgera, Payal N. Maharaj, Ifesinachi Okafor-Yarwood, Kelly Ortega-Cisneros, Tapiwa V. Warikandwa, Sian Rees, University of St Andrews. School of Biology, University of St Andrews. Scottish Oceans Institute, University of St Andrews. Coastal Resources Management Group, University of St Andrews. School of Geography & Sustainable Development, and University of St Andrews. Geographies of Sustainability, Society, Inequalities and Possibilities
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HB Economic Theory ,GC ,Ocean economy ,GE ,Blue economy ,HB ,Geography, Planning and Development ,Sustainable development goals ,3rd-DAS ,Management, Monitoring, Policy and Law ,Benefit sharing ,Marine governance ,GC Oceanography ,SDG 14 - Life Below Water ,Marine natural capital ,GE Environmental Sciences - Abstract
Funding: This work was supported by the United Kingdom Research and Innovation (UKRI), Global Challenges Research Fund (GCRF), One Ocean Hub (Grant Ref: NE/S008950/1). The blue economy has roots in the international arena of sustainable development and sets out to unlock opportunities for economy and society whilst protecting and enhancing marine environments. To date there has been no analysis of how this overarching intention for sustainability has influenced the rapid development of blue economy policies at national and regional scales. In this article, we analyse the synergies and conflicts between blue economy policies from a diversity of national and regional policies and the UN Sustainable Development Goals. We show that to maintain critical alignment with targets for sustainability, place-based contextual development of blue economies that meet the needs of all actors is necessary. These needs relate to ensuring resilience against future environmental and political shocks, the maintenance of the ecological basis for thriving blue economies, and capacity development at all levels to support effective and equitable governance. Results indicate that co-production will be important to achieve sustainable blue economies. Publisher PDF
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- 2022
290. A sensitive batch detection of banana bunchy top virususing SYBR®Green real-time PCR
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Mendoza, Jay-Vee S., Dela Cueva, Fe M., Nocum, Jen Daine L., Manohar, Anand Noel C., Gardoce, Roanne R., Lachica, Grace C., and Lantican, Darlon V.
- Abstract
Banana bunchy top virus(BBTV) is the most destructive viral disease of banana crop in the Philippines. The disease causes heavy damage to important local varieties, ‘Lakatan’ and ‘Cavendish’. Infected planting materials can cause long-term disease transmission causing geographical location to dictate genetic variation among viral strains. Hence, there is a need for an efficient and reliable quarantine detection procedure. This study developed a high-throughput real-time PCR protocol for batch detection of BBTV. A primer set derived from the DNA-Rregion of the virus was designed for specific BBTV detection. Tests for optimal annealing temperature, sample load, and sensitivity were performed. Finally, the cost per sample was compared to conventional end-point PCR. Optimization of the annealing temperature, from 55.5 ℃ to 63.5 ℃, yielded virus detection. The detection protocol developed was efficient to detect BBTV from a leaf disc measuring up to 5 mm diameter and weight of approximately 3 mg. DNA from infected leaf discs was detectable up to 1:10000 dilution. Sample pooling was detectable up to 1:99 infected to healthy leaf disc ratio. This sensitive and cost-efficient batch detection method for BBTV detection will be useful for quarantine services and various diagnostic applications.
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- 2024
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291. Developing a privacy-preserving deep learning model for glaucoma detection: a multicentre study with federated learning
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Ran, An Ran, Wang, Xi, Chan, Poemen P, Wong, Mandy O M, Yuen, Hunter, Lam, Nai Man, Chan, Noel C Y, Yip, Wilson W K, Young, Alvin L, Yung, Hon-Wah, Chang, Robert T, Mannil, Suria S, Tham, Yih-Chung, Cheng, Ching-Yu, Wong, Tien Yin, Pang, Chi Pui, Heng, Pheng-Ann, Tham, Clement C, and Cheung, Carol Y
- Abstract
BackgroundDeep learning (DL) is promising to detect glaucoma. However, patients’ privacy and data security are major concerns when pooling all data for model development. We developed a privacy-preserving DL model using the federated learning (FL) paradigm to detect glaucoma from optical coherence tomography (OCT) images.MethodsThis is a multicentre study. The FL paradigm consisted of a ‘central server’ and seven eye centres in Hong Kong, the USA and Singapore. Each centre first trained a model locally with its own OCT optic disc volumetric dataset and then uploaded its model parameters to the central server. The central server used FedProx algorithm to aggregate all centres’ model parameters. Subsequently, the aggregated parameters are redistributed to each centre for its local model optimisation. We experimented with three three-dimensional (3D) networks to evaluate the stabilities of the FL paradigm. Lastly, we tested the FL model on two prospectively collected unseen datasets.ResultsWe used 9326 volumetric OCT scans from 2785 subjects. The FL model performed consistently well with different networks in 7 centres (accuracies 78.3%–98.5%, 75.9%–97.0%, and 78.3%–97.5%, respectively) and stably in the 2 unseen datasets (accuracies 84.8%-87.7%, 81.3%-84.8%, and 86.0%–87.8%, respectively). The FL model achieved non-inferior performance in classifying glaucoma compared with the traditional model and significantly outperformed the individual models.ConclusionThe 3D FL model could leverage all the datasets and achieve generalisable performance, without data exchange across centres. This study demonstrated an OCT-based FL paradigm for glaucoma identification with ensured patient privacy and data security, charting another course toward the real-world transition of artificial intelligence in ophthalmology.
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- 2024
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292. Response by Chan and Weitz to Letter Regarding Article, “Antithrombotic Agents: New Directions in Antithrombotic Therapy”
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Chan, Noel C. and Weitz, Jeffrey I.
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- 2019
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293. Impact of Platelet Endothelial Aggregation Receptor-1 Genotypes on Platelet Reactivity and Early Cardiovascular Outcomes in Patients Undergoing Percutaneous Coronary Intervention and Treated With Aspirin and Clopidogrel
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Xu, Ke, Ye, Sen, Zhang, Shuhua, Yang, Mingwen, Zhu, Tiantian, Kong, Deyu, Chen, Jun, Xu, Lei, Li, Jimin, Zhu, Hui, Wang, Fei, Yang, Lu, Zhang, Jing, Fan, Yuansheng, Ying, Lianghong, Hu, Xianqing, Zhang, Xiaofeng, Chan, Noel C., and Li, Chunjian
- Published
- 2019
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294. AB023, A Novel Antibody That Binds Factor XI and Blocks Its Activation by Factor XIIa
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Chan, Noel C. and Weitz, Jeffrey I.
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- 2019
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295. Antithrombotic Agents: New Directions in Antithrombotic Therapy
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Chan, Noel C. and Weitz, Jeffrey I.
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- 2019
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296. Advances in Antithrombotic Therapy
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Weitz, Jeffrey I. and Chan, Noel C.
- Published
- 2019
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297. Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images
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Codella, Noel C. F., primary, Lin, Chung-Ching, additional, Halpern, Allan, additional, Hind, Michael, additional, Feris, Rogerio, additional, and Smith, John R., additional
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- 2018
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298. Reply to: Triplet-triplet annihilation in rubrene/C60 OLEDs with electroluminescence turn-on breaking the thermodynamic limit
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Engmann, Sebastian, Barito, Adam J., Bittle, Emily G., Giebink, Noel C., Richter, Lee J., and Gundlach, David J.
- Published
- 2019
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299. Higher order effects in organic LEDs with sub-bandgap turn-on
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Engmann, Sebastian, Barito, Adam J., Bittle, Emily G., Giebink, Noel C., Richter, Lee J., and Gundlach, David J.
- Published
- 2019
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300. Effect of Glucagon on Lipid Metabolism.
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Srivastava, Saurabh, Gupta, Amit, Sharma, Deepak, Maheshwari, Anuj, Shaikeh, Nadima, Sahay, Rakesh, and Barengo, Noel C.
- Subjects
LIPID metabolism ,LIPOPROTEINS ,BLOOD sugar ,NON-alcoholic fatty liver disease ,GLUCAGON ,CARBOHYDRATES ,LIPECTOMY ,CHOLESTEROL - Abstract
Glucagon is a hormone released from the alpha cells of the pancreas. It has a major role in carbohydrate metabolism. It has a major role in increasing blood glucose levels and is helpful in glycogenolysis, gluconeogenesis, and amino acid catabolism. Its role in lipid metabolism is in the form of lipolysis and beta-oxidation of fatty acids. It also has major implications in the pathogenesis of metabolic dysfunction-associated steatotic liver diseases or non-alcoholic fatty liver disease. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
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