Panel unit root test result. by Getachew Magnar Kitila (19935139)

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)

Decrease from main root canal and intratubular <i>Fusobacterium nucleatum</i> and its endotoxin after ultrasonic activation of conventional and alternative irrigation solutions by Mirela Cesar Barros (20346389)

Zivot-Andrews unit root test. by Dongxiao Xu (5543903)

Ultra-Tiny Scale Topographical Cues Direct Arabidopsis Root Growth and Development by Mahpara Safdar (14000325)

“…Specifically, we observed bidirectional behavior, favoring maximum primary root growth and thickness on sparse features (e.g., 5 μm) and induced predominant anisotropic root alignment on dense features (e.g., 400–800 nm), with alignment decreasing monotonically as the feature size increased. …”

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)

Natural Resistance to and Attraction of the Cabbage Root Fly (Delia radicum) in Oilseed Rape Accessions by Rebekka Sontowski (4355191)

“…Using a subset of the most and least resistant accessions, we analyzed volatile profiles and leaf traits and assessed root metabolic fingerprints. …”

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)

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

“…<p>Using the invasion model, we investigate the effect of switching on and off (black vs grey) invasions with mutualisms halfway through the simulation (i.e. after 500 assembly events). …”

Feature engineering. by Youli Jiang (15249070)

Root Zone Organic Matter Effects on Creeping Bentgrass Growth in Controlled Environments by Maureen Kahiu (20834468)

“…<p dir="ltr">This research evaluated the effects of root zone organic matter on creeping bentgrass growth in controlled environments. …”

Table3_Physiological characteristics and transcriptomic analyses of alfalfa root crown in wintering.docx by Xiaolong Wang (20235)

“…</p>Results<p>The WSR of the Longmu 806 alfalfa was 3.68-fold greater than that of the Sardi alfalfa. The jasmonic acid (JA), soluble sugar (SS), proline (Pro), and glutathione (GSH) concentration in the roots of Longmu 806 alfalfa was more than the same amount in Sardi alfalfa in other words P is less than 0.05. …”

Table1_Physiological characteristics and transcriptomic analyses of alfalfa root crown in wintering.docx by Xiaolong Wang (20235)

“…</p>Results<p>The WSR of the Longmu 806 alfalfa was 3.68-fold greater than that of the Sardi alfalfa. The jasmonic acid (JA), soluble sugar (SS), proline (Pro), and glutathione (GSH) concentration in the roots of Longmu 806 alfalfa was more than the same amount in Sardi alfalfa in other words P is less than 0.05. …”

Table2_Physiological characteristics and transcriptomic analyses of alfalfa root crown in wintering.docx by Xiaolong Wang (20235)

“…</p>Results<p>The WSR of the Longmu 806 alfalfa was 3.68-fold greater than that of the Sardi alfalfa. The jasmonic acid (JA), soluble sugar (SS), proline (Pro), and glutathione (GSH) concentration in the roots of Longmu 806 alfalfa was more than the same amount in Sardi alfalfa in other words P is less than 0.05. …”

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)