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. …”

MS decreases the larger amplitude distribution in adult rats. by Jesús David Ayala-Rodríguez (17364296)

Pairwise correlations in APP/PS1 mice are decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …”

Pairwise correlations of excitatory neurons in APP/PS1 mice are decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

Both cis- and trans-cycles decrease in number upon treatment with auxin. by Manu Aggarwal (15990691)

“…(C) The number of trans-cycles also decreased. (D) The opacity of edge (<i>c</i>_<i>i</i>, <i>c</i>_<i>j</i>) indicates a difference in the number of trans cycles between control and auxin-treated that go through chromosomes <i>c</i>_<i>i</i> and <i>c</i>_<i>j</i>. …”

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

Measures of access and affordability by income level, age 57 to 73 years. by Rahul Aggarwal (4428457)

Percentage of US adults with health insurance coverage by income-level, age 60 to 70 years. by Rahul Aggarwal (4428457)

Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…(B) In dCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.132 ± 0.048, APP/PS1 = 0.128 ± 0.051, p < 0.005, two-sided Wilcoxon rank-sum test, n_C57BL/6 = 305 units from 5 recording sessions, n_APP/PS1 = 180 units from 4 recording sessions). …”

Spatial information of excitatory neurons in APP/PS1 mice are decreased in dCA1 and vCA1. by Udaysankar Chockanathan (18510288)

“…<p>(A) In dCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.134 ± 0.050, APP/PS1 = 0.132 ± 0.054, p < 0.01, two-sided Wilcoxon rank-sum test, n_C57BL/6 = 229 units from 5 recording sessions, n_APP/PS1 = 124 units from 4 recording sessions). …”

Combination of cAMP-enhancing and cAMP-inhibiting neuromodulation can increase or decrease the AP threshold throughout the apical dendrite in the Hay-model L5PC. by Tuomo Mäki-Marttunen (388882)

Degree heterogeneity and community structure affect hospitalized peak in real networks. by Valeria d’Andrea (12095838)

The rate the bias decreases with sample duration is higher for cells with higher activity levels. by Liron Sheintuch (12078310)

Triple B←N Lewis Pair-Functionalized Triazatruxenes with Large Stokes Shifts by Yufeng Zhang (195768)

Subjects:

Different degrees of alteration. by Stefania Titton (8378721)

Benefit maps of combination therapy with ADT. by Nourridine Siewe (5081834)

Comparison of the MLTD and MDD scores of text before and after hypernym substitution using the GPT-J-6B, Programmatic+AI, and T5 approaches. by Karl Swanson (3580583)

Zero-fixations attributes and degrees. by Alice Pizzo (14204368)

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. …”