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. …”

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)

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

“…The COVID-19 pandemic resulted in a significant reduction in the number of poster presentations. …”

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)

“…<div><p>The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments that affect the autonomous navigation of robot dogs. …”

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

“…The COVID-19 pandemic resulted in a significant reduction in the number of poster presentations. …”

Schematic diagram of time stamp synchronization between LIDAR and camera in a multi-sensor system. by Hongliang Zou (20707270)

Positioning errors of different algorithms on the a multi-modal and multi-scenario dataset for ground robots dataset. by Hongliang Zou (20707270)

Specific parameters of the test sequence in the a multi-modal and multi-scenario dataset for ground robots dataset. by Hongliang Zou (20707270)

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. …”

Supplementary Material for: Decreased Lactococcus lactis and propionic acid in feces of patients with Moyamoya disease: Possible implications of immune dysregulation by figshare admin karger (2628495)

“…Introduction: Moyamoya disease (MMD) is a cerebrovascular disease characterized by progressive steno-occlusive lesions in the terminal portion of the internal carotid artery. …”

Changes in the liver fibrosis-related markers in breast cancer patients with a FIB-4 index of >2.30 during letrozole treatment. by Kazuyoshi Ohkawa (836847)

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Changes in the FIB-4 index in breast cancer patients with a FIB-4 index of ≥ 2.67 during letrozole and anastrozole treatment. by Kazuyoshi Ohkawa (836847)

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Changes in the liver fibrosis-related markers in breast cancer patients with a FIB-4 index of >2.30 during anastrozole treatment. by Kazuyoshi Ohkawa (836847)

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Structure model predictions of wildtype and A398E/V and M1425V/I Ca_V3.3 channels. by Yousra El Ghaleb (22075892)

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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. …”

Three essential assumptions of the Mendelian randomization study. by Jing Wang (6206297)

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Details of the GWAS data in this study. by Jing Wang (6206297)

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Scatter plot for the significant Mendelian randomization (MR) association (P < 0.05) between mediators and anti-H. pylori IgG seropositivity. by Jing Wang (6206297)

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