Details of endotracheal intubation management in the control and intervention arms by Hugo Hille (11294179)

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. …”

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

cGAS inhibition decreases ISG RNA in H358 cells. by Lorellin A. Durnell-Bettis (22656332)

Most frequently experienced adverse events among study participants by treatment arms from baseline through week 24. by Tosi M. Mwakyandile (16408705)

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Cumulative incidence of mortality and loss to follow-up (LTF) among study participants by treatment arms from baseline through week 24. by Tosi M. Mwakyandile (16408705)

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Socio-demographic and clinical characteristics of HIV-infected treatment-naïve individuals initiating ART. by Tosi M. Mwakyandile (16408705)

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Changes in baseline CD4 count through week 12 and week 24 according to the linear regression model. by Tosi M. Mwakyandile (16408705)

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Cumulative incidence of morbidity, loss to follow-up (LTF) and mortality among study participants by treatment arms from baseline through week 24. by Tosi M. Mwakyandile (16408705)

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Consolidated Standards of Reporting Trials flow diagram for participants in the trial. by Tosi M. Mwakyandile (16408705)

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Median changes in CD4 count, platelet activation, immune activation, and exhaustion markers from baseline through week 12 and week 24. by Tosi M. Mwakyandile (16408705)

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Changes in baseline T-cell exhaustion, monocyte activation and platelet activation markers through week 12 and week 24 according to the linear regression model. a. by Tosi M. Mwakyandile (16408705)

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Participants with virologic suppression or failure at week 24. by Tosi M. Mwakyandile (16408705)

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Changes in baseline T-cell activation markers through week 12 and week 24 according to the linear regression model. a. by Tosi M. Mwakyandile (16408705)

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Infographic of the experimental design with the respective focus instructions (i.e., control- no focus instruction, internal focus- quadriceps, external focus- lever arm of the mac... by Philipp Bauer (21601393)

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”

Baseline characteristics of sample by trial arm. by Stanley Carries (21172287)

“…Participants were randomly assigned to one of the following groups: (i) the intervention arm (n = 50) received three cash payments (of ZAR 350, approximately 21 USD), coupled with behaviourally-informed mobile SMS nudges over a 3-month period; (ii) the control arm (n = 50) received a standard SMS encouraging linkage to health services. …”

Economic cost composition by arm and outcomes. by Stanley Carries (21172287)

“…Participants were randomly assigned to one of the following groups: (i) the intervention arm (n = 50) received three cash payments (of ZAR 350, approximately 21 USD), coupled with behaviourally-informed mobile SMS nudges over a 3-month period; (ii) the control arm (n = 50) received a standard SMS encouraging linkage to health services. …”

Net usage across intervention arms. by Job Oyweri (22041452)

“…Bed ownership was 50.8% in the pyrethroid-LLIN group and 55.3% in the PBO-LLIN group. Not owning a bed decreased the likelihood of net usage by 13.3% [aOR=0.867 (95% CI = 0.816–0.920), p < 0.001]. …”

Data Sheet 1_Efficacy and safety of massage for postoperative stress in colorectal cancer patients: a randomized, controlled, three-arm trial.pdf by Paul G. Werthmann (20674349)