Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Average error per positive end-expiratory pressure (PEEP) step for each model. by James Cushway (19942288)

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

Summary of five key points guiding the Safe Steps evaluation and implementation. by Esario IV Daguman (21474116)

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Application of WeChat-based cognitive behavioural stress management for early-stage cervical cancer patients: a randomised controlled study by Qing Hao (566198)

“…Patients were randomised to receive WeChat-based cognitive behavioural stress management (WB-CBSM) (<i>n</i> = 92) or normal care (NC) (<i>n</i> = 92) for 8 weeks. …”

Table_1_FMT intervention decreases urine 5-HIAA levels: a randomized double-blind controlled study.DOCX by Lihong Wang (14991)

Stepped-Wedge Trial Diagram. by Sugy Choi (800862)

“…There is an urgent need to address issues related to equitable access to and the quality of care provided by substance use disorder (SUD) treatment programs. …”

Cascade of care by HCV testing model. by Bao Vu Ngoc (14551955)

“…We engaged eight community-based organizations (CBOs) and 10 public and private clinics in offering HCVST using oral fluid-based HCV rapid antibody tests along with standard or provider-led HCV testing (HCVT). …”

Grouping codes according to drivers and themes. by Jennie Ochshorn (21300213)

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Intervention models and descriptions. by Jennie Ochshorn (21300213)

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Demographic characteristics and dental-related questions (N = 13). by Jennie Ochshorn (21300213)

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Definitions of drivers and within context. by Jennie Ochshorn (21300213)

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Trends of incident opioid users, L-TOT users, and L-TOT discontinuers between 2009 and 2013. by Qian Cai (112039)

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The yearly numerator, denominator and rate of incident opioid users, L-TOT users and L-TOT discontinuers from 2009 to 2019. by Qian Cai (112039)

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Incidence rate ratios of negative binominal regression models for yearly rates of incident opioid users, L-TOT users and L-TOT discontinuers during 2009–2013 and 2015–2019. by Qian Cai (112039)

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Demographic, comorbidity, concurrent drug, and opioid characteristics, among L-TOT users and L-TOT discontinuers between 2009–2019. by Qian Cai (112039)

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Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Participants characteristics. by Sakiko Fukui (387048)

“…Cluster analysis classified 4 clusters of decline in food intake changes during the last 6 months before death: immediate decrease (n = 14); decrease from 1 month before death (n = 24); decrease from 3 months before death (n = 7); and gradual decrease for 6 months before death (n = 24).…”

A flow diagram of the study entry. by Sakiko Fukui (387048)

“…Cluster analysis classified 4 clusters of decline in food intake changes during the last 6 months before death: immediate decrease (n = 14); decrease from 1 month before death (n = 24); decrease from 3 months before death (n = 7); and gradual decrease for 6 months before death (n = 24).…”