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)

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)

Experimental setup. by Shinnosuke Hase (20917896)

“…Conversely, the fast-rhythm auditory guide significantly increased step rate and decreased step length (p <  0.05). …”

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. by Randeep S. Jawa (20489181)

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Flow chart with steps of conducting the study. by Athira Satheesh Kumar (20570553)

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Feature engineering. by Youli Jiang (15249070)

The decreased permeability caused by phospholipid content in the membrane could drive the emergence of other functions in the protocells. by Wentao Ma (326530)

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

“…This type of monitoring often relies on the use of navigation systems such as the Automatic Identification System (AIS). AIS data has been used to support the defense teams when identifying equipment defects, locating suspicious activity, ensuring ship collision avoidance, and detecting hazardous events. …”

Inherently interpretable deep learning framework highlights clinically relevant image regions. by Kerol Djoumessi (21349992)

Iron-Catalyzed Activation of Carbon–Halogen Bonds by Eveline H. Tiekink (19948324)

“…The barrier of the oxidative-addition step decreases as the C(<i>sp</i>ⁿ)–X bond varies from X = F to Cl to Br to I and from C(<i>sp</i>³) to C(<i>sp</i>²) to C(<i>sp</i>). …”

Data Sheet 1_Bio-functional hydrogel coated membranes to decrease T-cell exhaustion in manufacturing of CAR T-cells.docx by Aida López Ruiz (21611177)

“…Introduction<p>Cell therapies have revolutionized cancer treatment, with chimeric antigen receptor (CAR) T-cell therapies at the forefront for the treatment of hematological cancers. …”

The RehaGait® system. by Johanna Rydja (12300797)

“…Gait variables were: stride length, stride duration, velocity, cadence, variability, stance, swing, single support, double support, step height, hip, knee and ankle joint angles.</p><p>Results</p><p>Compared to HI, the main differences in the gait variables were: decreased stride length (p < 0.01), velocity (p < 0.01), swing time (p < 0.01), single support (p < 0.01), hip flexion (p < 0.01), heel strike angle (p < 0.01) and toe-off angle (p < 0.01). …”

Flow chart of included patients and dropouts. by Johanna Rydja (12300797)

“…Gait variables were: stride length, stride duration, velocity, cadence, variability, stance, swing, single support, double support, step height, hip, knee and ankle joint angles.</p><p>Results</p><p>Compared to HI, the main differences in the gait variables were: decreased stride length (p < 0.01), velocity (p < 0.01), swing time (p < 0.01), single support (p < 0.01), hip flexion (p < 0.01), heel strike angle (p < 0.01) and toe-off angle (p < 0.01). …”

Dataset of the analyzed data. by Johanna Rydja (12300797)

“…Gait variables were: stride length, stride duration, velocity, cadence, variability, stance, swing, single support, double support, step height, hip, knee and ankle joint angles.</p><p>Results</p><p>Compared to HI, the main differences in the gait variables were: decreased stride length (p < 0.01), velocity (p < 0.01), swing time (p < 0.01), single support (p < 0.01), hip flexion (p < 0.01), heel strike angle (p < 0.01) and toe-off angle (p < 0.01). …”

Presents the bibliometric search results. by Yan She (8639796)

How Do Zn²⁺ Ions Promote Methane Activation on Zinc-Modified Zeolites? A Hybrid Quantum-Chemical Study by Zoya N. Lashchinskaya (8102741)

“…In this work, the possible mechanisms of methane hydrogen exchange on the Zn²⁺/H-ZSM-5 zeolite have been analyzed by means of hybrid quantum chemical calculations (PBEh-3c/DLPNO-CCSD(T)). …”