Water chlorination increases the relative abundance of an antibiotic resistance marker in developing sourdough starters Tekijä Pearson Lau, Swapan Jain, Gabriel G. Perron

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Can Large Language Models Generate Outpatient Clinic Letters at First Consultation That Incorporate Complication Profiles From UK and USA Aesthetic Plastic Surgery Associations? Tekijä Richard H R Roberts, Stephen R Ali, Thomas D Dobbs, Iain S Whitaker

“…ChatGPT3.5 and Google Bard showed lower compliance, particularly when accessing paywalled content like the ASPS Informed Consent Bundle. …”
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Application and accuracy of artificial intelligence-derived large language models in patients with age related macular degeneration Tekijä Lorenzo Ferro Desideri, Janice Roth, Martin Zinkernagel, Rodrigo Anguita

“…The average score in category b was 1.07 (± 0.27) with ChatGPT 3.5, 1.69 (± 0.63) with Bing AI and 1.38 (± 0.63) with Google Bard, showing a significant difference among the 3 groups (p = 0.0042). …”
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Foreign Accent Syndrome, a Rare Presentation of Schizophrenia in a 34-Year-Old African American Female: A Case Report and Literature Review Tekijä Kenneth Asogwa, Carolina Nisenoff, Jerome Okudo

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‘I’m unable to’: how generative AI chatbots respond when asked for the latest news Tekijä Fletcher, R, Adami, M, Nielsen, RK

“…We test how well ChatGPT and Bard (now Gemini) provide the latest news to users who ask for the top five headlines from specific outlets. …”

V-v-Vertov R-r-Re-Made Tekijä Pedersen Peter Ole, Stephensen Jan Løhmann

“…By way of comparison with American artist Perry Bard’s online movie project entitled Man With a Movie Camera: The Global Remake (2007), this article investigates the historical perspective of this visionary depiction of reality and its impact on the heralded participatory culture of contemporary digital media, which can be traced back to Russian Constructivism. …”
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Gold Artifacts from the Early Scythian Princely Tomb Arzhan 2, Tuva—Aesthetics, Function, and Technology Tekijä Barbara Armbruster, Caspar Meyer

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AI in Hidradenitis Suppurativa: Expert Evaluation of Patient-Facing Information Tekijä Ezanno AC, Fougerousse AC, Pruvost-Balland C, Maccari F, Fite C

“…Responses to these questions were evaluated by 18 hS experts.Results: ChatGPT’s responses were considered accurate in 86% of cases, significantly outperforming Bard, which only achieved 14% accuracy. Despite the general efficacy of ChatGPT in providing relevant information across a range of HS-related queries, both AI systems showed limitations in offering adequate advice on treatments. …”
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Leveraging Large Language Models for Improved Patient Access and Self-Management: Assessor-Blinded Comparison Between Expert- and AI-Generated Content Tekijä Xiaolei Lv, Xiaomeng Zhang, Yuan Li, Xinxin Ding, Hongchang Lai, Junyu Shi

“… BackgroundWhile large language models (LLMs) such as ChatGPT and Google Bard have shown significant promise in various fields, their broader impact on enhancing patient health care access and quality, particularly in specialized domains such as oral health, requires comprehensive evaluation. …”
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The effect of healthy eating index-2015 in the associations of biological aging and non-alcoholic fatty liver disease: an interaction and mediation analysis Tekijä Xiang Zhang, Zhijie Ding, Yong Yan, Weiming Yang, Xiaoming Ai, Yongping Zhou

“…The BA was linear positive with ZJU index, BARD score and NAFLD fibrosis score. However, the linear negative correlation existed between HEI-2015 and ZJU index, BARD score and NAFLD fibrosis score. …”
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LSST: From science drivers to reference design and anticipated data products Tekijä Ivezic, Z, Kahn, SM, Tyson, JA, Abel, B, Acosta, E, Allsman, R, Alonso, D, Alsayyad, Y, Anderson, SF, Andrew, J, Angel, JRP, Angeli, GZ, Ansari, R, Antilogus, P, Araujo, C, Armstrong, R, Arndt, KT, Astier, P, Aubourg, E, Auza, N, Axelrod, TS, Bard, DJ, Barr, JD, Barrau, A, Bartlett, JG, Bauer, AE, Bauman, BJ, Baumont, S, Bechtol, E, Bechtol, K, Becker, AC, Becla, J, Beldica, C, Bellavia, S, Bianco, FB, Biswas, R, Blanc, G, Blazek, J, Blandford, RD, Bloom, JS, Bogart, J, Bond, TW, Booth, MT, Borgland, AW, Borne, K, Bosch, JF, Boutigny, D, Brackett, CA, Bradshaw, A, Brandt, WN, Brown, ME, Bullock, JS, Burchat, P, Burke, DL, Cagnoli, G, Calabrese, D, Callahan, S, Callen, AL, Carlin, JL, Carlson, EL, Chandrasekharan, S, Charles-Emerson, G, Chesley, S, Cheu, EC, Chiang, H-F, Chiang, J, Chirino, C, Chow, D, Ciardi, DR, Claver, CF, Cohen-Tanugi, J, Cockrum, JJ, Coles, R, Connolly, AJ, Cook, KH, Cooray, A, Covey, KR, Cribbs, C, Cui, W, Cutri, R, Daly, PN, Daniel, SF, Daruich, F, Daubard, G, Daues, G, Dawson, W, Delgado, F, Dellapenna, A, De Peyster, R, De Val-Borro, M, Digel, SW, Doherty, P, Dubois, R, Dubois-Felsmann, GP, Durech, J, Economou, F, Eifler, T, Eracleous, M, Emmons, BL, Neto, AF, Ferguson, H, Figueroa, E, Fisher-Levine, M, Focke, W, Foss, MD, Frank, J, Freemon, MD, Gangler, E, Gawiser, E, Geary, JC, Gee, P, Geha, M, Gessner, CJB, Gibson, RR, Gilmore, DK, Glanzman, T, Glick, W, Goldina, T, Goldstein, DA, Goodenow, I, Graham, ML, Gressler, WJ, Gris, P, Guy, LP, Guyonnet, A, Haller, G, Harris, R, Hascall, PA, Haupt, J, Hernandez, F, Herrmann, S, Hileman, E, Hoblitt, J, Hodgson, JA, Hogan, C, Howard, JD, Huang, D, Huffer, ME, Ingraham, P, Innes, WR, Jacoby, SH, Jain, B, Jammes, F, Jee, MJ, Jenness, T, Jernigan, G, Jevremovic, D, Johns, K, Johnson, AS, Johnson, MWG, Jones, RL, Juramy-Gilles, C, Juric, M, Kalirai, JS, Kallivayalil, NJ, Kalmbach, B, Kantor, JP, Karst, P, Kasliwal, MM, Kelly, H, Kessler, R, Kinnison, V, Kirkby, D, Knox, L, Kotov, IV, Krabbendam, VL, Krughoff, KS, Kubanek, P, Kuczewski, J, Kulkarni, S, Ku, J, Kurita, NR, Lage, CS, Lambert, R, Lange, T, Langton, JB, Le Guillou, L, Levine, D, Liang, M, Lim, K-T, Lintott, CJ, Long, KE, Lopez, M, Lotz, PJ, Lupton, RH, Lust, NB, Macarthur, LA, Mahabal, A, Mandelbaum, R, Markiewicz, TW, Marsh, DS, Marshall, PJ, Marshall, S, May, M, McKercher, R, Michellemcqueen, Meyers, J, Migliore, M, Miller, M, Mills, DJ, Miraval, C, Moeyens, J, Moolekamp, FE, Monet, DG, Moniez, M, Monkewitz, S, Montgomery, C, Morrison, CB, Mueller, F, Muller, GP, Arancibia, FM, Neill, DR, Newbry, SP, Nief, J-Y, Nomerotski, A, Nordby, M, O'Connor, P, Oliver, J, Olivier, SS, Olsen, K, O'Mullane, W, Ortiz, S, Osier, S, Owen, RE, Pain, R, Palecek, PE, Parejko, JK, Parsons, JB, Pease, NM, Peterson, JM, Peterson, JR, Petravick, DL, Petrick, MEL, Petry, CE, Pierfederici, F, Pietrowicz, S, Pike, R, Pinto, PA, Plante, R, Plate, S, Plutchak, JP, Price, PA, Prouza, M, Radeka, V, Rajagopal, J, Rasmussen, AP, Regnault, N, Reil, KA, Reiss, DJ, Reuter, MA, Ridgway, ST, Riot, VJ, Ritz, S, Robinson, S, Roby, W, Roodman, A, Rosing, W, Roucelle, C, Rumore, MR, Russo, S, Saha, A, Sassolas, B, Schalk, TL, Schellart, P, Schindler, RH, Schmidt, S, Schneider, DP, Schneider, MD, Schoening, W, Schumacher, G, Schwamb, ME, Sebag, J, Selvy, B, Sembroski, GH, Seppala, LG, Serio, A, Serrano, E, Shaw, RA, Shipsey, I, Sick, J, Silvestri, N, Colin, T, Smith, JA, Smith, RC, Shahram, Soldahl, C, Storrie-Lombardi, L, Stover, E, Strauss, MA, Street, RA, Stubbs, CW, Sullivan, IS, Sweeney, D, Swinbank, JD, Szalay, A, Takacs, P, Tether, SA, Thaler, JJ, Thayer, JG, Thomas, S, Thornton, AJ, Thukral, V, Tice, J, Trilling, DE, Turri, M, Van Berg, R, Berk, D, Vetter, K, Virieux, F, Vucina, T, Wahl, W, Walkowicz, L, Walsh, B, Walter, CW, Wang, DL, Wang, S-Y, Warner, M, Wiecha, O, Willman, B, Winters, SE, Wittman, D, Wolff, SC, Wood-Vasey, WM, Wu, X, Xin, B, Yoachim, P, Zhan, H

Equilibrium growth in a model with economic obsolescence of machines, Tekijä Bardhan, Pranab K.

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Chinese and Indian agriculture: a broad comparison of recent policy and performance. Tekijä Bardhan, Pranab K.

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Optimum growth and allocation of foreign exchange, Tekijä Bardhan, Pranab K.

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Uncertainty, resource allocation and factor shares in a two-sector model, Tekijä Bardhan, Pranab K.

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Uncertainty and trade theory; some comparative-static results, Tekijä Bardhan, Pranab K.

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Models of growth with imported inputs, Tekijä Bardhan, Pranab K., Lewis, Sydney

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Liver Fibrosis Scoring Systems as Novel Tools for Predicting Recurrent Cardiovascular Events in Patients with a Prior Cardiovascular Event Tekijä Huihui Liu, Yexuan Cao, Jinglu Jin, Yuanlin Guo, Chenggang Zhu, Naqiong Wu, Qi Hua, Yanfang Li, Lifeng Hong, Qian Dong, Jianjun Li, Tianyu Xu, Xiaoxia Fu

“…In the subgroup analyses of sex, age, BMI, DM, and hypertension status, the increased risk of RCVEs with high LFSs (NFS, FIB-4, Forns, and BARD) was maintained across the different subgroups (all P < 0.05). …”
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Can Artificial Intelligence Improve the Readability of Patient Education Materials on Aortic Stenosis? A Pilot Study Tekijä Armaun D. Rouhi, Yazid K. Ghanem, Laman Yolchieva, Zena Saleh, Hansa Joshi, Matthew C. Moccia, Alejandro Suarez-Pierre, Jason J. Han

“…PEMs were then inputted into two AI-powered LLMs, ChatGPT-3.5 and Bard, with the prompt “translate to 5th-grade reading level”. …”
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Waist-to-Hip Ratio and Inflammatory Parameters Are Associated with Risk of Non-Alcoholic Fatty Liver Disease in Patients with Morbid Obesity Tekijä Marta Borges-Canha, João Sérgio Neves, Maria Manuel Silva, Fernando Mendonça, Telma Moreno, Sara Ribeiro, João Correa, Catarina Vale, Juliana Gonçalves, Helena Urbano Ferreira, Sara Gil-Santos, Vanessa Guerreiro, Ana Sande, Selma B. Souto, Jorge Pedro, Paula Freitas, Davide Carvalho, CRIO Group

“…We aimed to evaluate the association between the risk of NAFLD (through Fatty Liver Index (FLI), and BMI, AST/ALT ratio, and presence of diabetes (BARD)), and anthropometric parameters, predictors of metabolic status, in patients with morbid obesity, and to evaluate the association of FLI and BARD scores with pro-inflammatory markers. …”
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