Enhancing Aromaticity of Alkenylbenzenes May Decrease Their Metabolic Activation and Reduce Their Potential Cytotoxicity: Lessons Learnt from the Investigation of Myristicin and El... by Guode Zhao (7307867)

Subjects:

Idarubicin-loaded chitosan nanobubbles to improve survival and decrease drug side effects in hepatocellular carcinoma by Monica Mossenta (4276213)

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)

Side effects are presented as percentages (%). by Rael Lopes Alves (7877942)

The influence of the controlled pH conditions at the sample preparation step on the obtained signals (panel A: extraction using a mixture of MeOH and EtOH; panel B: extraction usin... by Ewa Paszkowska (21246702)

ALK inhibitors (Positive control) and ABT199 (Proposed binding) in complex with the ALK active side. by Richard Junior Zapata Dongo (17912565)

Side-Chain and Ring-Size Effects on Permeability in Artificial Water Channels by Tyler J. Duncan (20494676)

“…Artificial water channels (AWCs) have emerged as a promising framework for stable water permeation, with water transport rates comparable to aquaporins (3.4–40.3 × 10⁸ H₂O/channel/s). In this study, we probe the influence of ring-size and side-chain length on the water permeability observed within a class of AWCs termed ligand-appended pillar­[n]­arenes (LAPs) that have an adjustable ring-size (<i>m</i>) and side-chain length (<i>n</i>). …”

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)

Development of Selective and Soluble Mitochondrial Complex 1 Inhibitors Derived from Papaverine for Radiosensitization of Cancer by Ben J. Haines (22458462)

“…We have therefore generated additional derivatives which have improved mitochondrial complex 1 inhibition and reduced PDE10A inhibition. …”

Development of Selective and Soluble Mitochondrial Complex 1 Inhibitors Derived from Papaverine for Radiosensitization of Cancer by Ben J. Haines (22458462)

“…We have therefore generated additional derivatives which have improved mitochondrial complex 1 inhibition and reduced PDE10A inhibition. …”

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)

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)

Backbone Stitching in Bottlebrush Copolymer Mesodomains and the Impact of Side Chain Crystallization by Mingqiu Hu (11798625)

“…We synthesized bottlebrush statistical copolymers (BSCPs) having poly(ethylene oxide) (PEO) and poly(dimethylsiloxane) (PDMS) side chains attached to a polynorbornene backbone. …”

Backbone Stitching in Bottlebrush Copolymer Mesodomains and the Impact of Side Chain Crystallization by Mingqiu Hu (11798625)

“…We synthesized bottlebrush statistical copolymers (BSCPs) having poly(ethylene oxide) (PEO) and poly(dimethylsiloxane) (PDMS) side chains attached to a polynorbornene backbone. …”

Feature engineering. by Youli Jiang (15249070)

Overview of groups of topics with example text. by Min Ho An (7894658)

“…This aligns with a decline in the annual proportion of topics associated with side effects within each cluster.</p><p>Conclusions</p><p>Negative perceptions toward antidepressants are prevalent on social media, mainly focusing on efficacy and side effects. …”

Discussion Summary Statistics. by Min Ho An (7894658)

“…This aligns with a decline in the annual proportion of topics associated with side effects within each cluster.</p><p>Conclusions</p><p>Negative perceptions toward antidepressants are prevalent on social media, mainly focusing on efficacy and side effects. …”