Differentially expressed genes (DEGs)^a showing the greatest fold changes from each potato tissue: 10 with greatest increase in expression and 10 with greatest decrease in expression. by Margaret A. Carpenter (6104180)

“…<p>Differentially expressed genes (DEGs)^a showing the greatest fold changes from each potato tissue: 10 with greatest increase in expression and 10 with greatest decrease in expression.…”

HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

“…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …”

Thematic clouds for lectures. by Ignacio García-Espona (21395335)

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Thematic cloud for posters [2013-23]. by Ignacio García-Espona (21395335)

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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)

Displacement cloud maps. by Maogang Tian (21485116)

“…Furthermore, parametric studies reveal that the pile base displacement exhibits a non-linear trend of initially decreasing and then increasing with larger inclination angles of the inclined piles. …”

Point cloud fusion instance effect. by Hongliang Zou (20707270)

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Comparison cloud for lectures indicating the words that appeared most frequently in each period (2013-2017, top, blue colour; 2018-2023, bottom, red colour). by Ignacio García-Espona (21395335)

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Comparison cloud for posters indicating the words that appeared most frequently in each period (2013-2017, top, blue colour; 2018-2023, bottom, red colour). by Ignacio García-Espona (21395335)

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Comparison cloud indicating the words that appeared most frequently with respect to each type of contribution (lectures, top, blue colour; posters, bottom, red colour) [2013-2023]. by Ignacio García-Espona (21395335)

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Changes in total, organic and inorganic P fractions at different temperatures: (a) total P, (b) total organic P, (c) total inorganic P and (d) proportion of organic P. by Jiayu Hu (673291)

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Relationships between P release rate and Eh (a), DOC (b) in water, and total organic C (c), AlPase activity (d), inorganic P (e), and organic P (f) in the sediment. by Jiayu Hu (673291)

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Water P fractions and sediment P release rate at different temperatures: (a) total P, (b) total dissolved P, (c) soluble reactive P of water and (d) sediment P release rate. by Jiayu Hu (673291)

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Changes in physicochemical properties: (a) EC, (b) Eh, (c) water pH, (d) sediment pH, (e) water DOC, (f) sediment TOC, (g) water AlPase activity and (h) sediment AlPase activity. by Jiayu Hu (673291)

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Comparison cloud indicating the words that appeared most frequently with regard to each type of lecturer (lecturers from the USA, top, blue colour; lecturers not from the USA, bott... by Ignacio García-Espona (21395335)

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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. …”

Flow chart of sediment P fractionation procedure. by Jiayu Hu (673291)

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Word cloud with key elements of an Active Learning Classroom. by Mairena Sánchez-López (684092)

Decreased hypotaurine levels within cells lacking the ADO gene in U251 cells. by Hong Tian (169626)

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. …”