Task variability/correlations decrease independently of mean task activity removal step in fMRI data. by Takuya Ito (57473)

Brief summary highlighting the study methology. a) AI Tool Development and Pediatric Repurposing: The AI tool was originally trained and validated using a large dataset of adult ch... by Prerana Agarwal (21781515)

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Strengthening assessment integrity in the era of generative AI: evidence from a large-scale study by Liz Hardie (22277602)

“…This large-scale empirical study at a UK university, based on 590 student and 354 AI-generated answers, provides evidence on markers’ ability to detect the GenAI scripts and whether some assessment types are more robust than others against GenAI misuse. …”

Identification and Description of Emotions by Current Large Language Models - Dataset by Suketu Patel (17748162)

“…<p dir="ltr">The assertion that artificial intelligence (AI) cannot grasp the complexities of human emotions has been a long-standing debate. …”

Mean Scores in 11-step anxiety in UK, 2012–2021 (weighted), 2011–2021. by David G. Blanchflower (8011427)

Spatial representation of mean annual soil loss increase/decrease derived with the different modeling centers (rows) and time steps (columns) with the SSP5-8.5. by Fabián Santos (8174028)

“…<p>Spatial representation of mean annual soil loss increase/decrease derived with the different modeling centers (rows) and time steps (columns) with the SSP5-8.5.…”

AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms by I. de Zarza (17378452)

“…<p dir="ltr">Presentation for PhD thesis:</p><p dir="ltr">AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms https://doi.org/10.4995/Thesis/10251/202201</p><p dir="ltr">Abstract:</p><p dir="ltr">The proliferation of autonomous systems, and their increasing integration with day-to-day human life, have opened new frontiers of research and development. …”

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

“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”

Table of step height. by Jianbo Jia (717814)

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The well wall step. by Jianbo Jia (717814)

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Table 2_ePWV as a scalable risk factor for large-scale glaucoma screening: evidence from a national Chinese cohort.docx by Yupeng Xu (6787604)

Table 1_ePWV as a scalable risk factor for large-scale glaucoma screening: evidence from a national Chinese cohort.docx by Yupeng Xu (6787604)

Mean frequency of the cultural trait <i>T</i> in the population when <i>T</i> decreases fertility. by Laurel Fogarty (143721)

Line graph showing the increase or decrease in the average number of bee swarms caught over the past three years (Mean  by Beatrice T. Nganso (4114768)

<b>Enhancing Human-AI Interactions: The Impact of Pseudo-code Engineering on Improving Predictability and Stability in Large Language Models</b> - Appendix A by Gian Michaelsen (18824614)

“…On the other hand, prompts that integrate both natural language and pseudo-code see a 20% increase in content richness compared to those that use only natural language. …”

Mean squared error of estimates decreases with larger datasets. by Alexander Eugene Zarebski (12078347)

“…<p>The mean squared error in the estimates of under the posterior distribution decreases as the size of the dataset increases. …”

Conditional <i>Aff4</i> knockout decreases fat mass in mice. by Yaqian Chen (1711576)

Demographic and clinical variables (mean ± standard deviation) for study participants (n = 54). by Sina Mehdizadeh (2272579)

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A noxious temperature decrease without a prior increase produces a subtly larger decrease in pain intensity. by Benedict J. Alter (9745466)

Supplementary file 1_Swedish Medical LLM Benchmark: development and evaluation of a framework for assessing large language models in the Swedish medical domain.pdf by Birger Moëll (21699569)

“…Introduction<p>We present the Swedish Medical LLM Benchmark (SMLB), an evaluation framework for assessing large language models (LLMs) in the Swedish medical domain.…”