Assessing the Lifestyle-related Determinants among Employees Working in the IT Sector of Pune City by Anu Mahajan, Ishwa Prerak Desai, Arti Muley

“…Ethical approval and consent were obtained. Data from various IT sectors used a modified questionnaire incorporating Perceived Stress and IPAQ scales and inquiries on sleep patterns, BMI, ultra-processed food consumption, and substance use. …”
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A Novel MetaSoft Tree-Cognitive Set Model for Evaluating Criminal Litigation Efficiency under Artificial Intelligence Ecosystems by Yuanyuan Meng, Jing Cai

“…Traditional evaluation models often fail to capture the hierarchical and uncertain nature of legal data, especially when AI is involved in tasks like evidence analysis, case prediction, or judge-assisting tools. …”
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Sociocultural recursion in the context of actor-network interaction with generative artificial intelligence by V. A. Shelginskaya

“…The study reveals the actor structure of interaction with the GenAI as part of the composition of social and generative actors and data array mediating their connection. It is argued that the resulting nature of socio-generative interaction is determined by the social predestination of the data array, which we propose to distinguish in four variants. …”
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Hydraulic effects of vessel-induced waves on early life stages of lake macrophytes by Susanne Scherbaum, Juergen Geist, Yannic Fuchs, Josef Schneider

“…Relevant characteristics for testing remobilization of oospores and seeds like geometric dimensions and density were experimentally determined by field data. …”
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SEN2NAIP: A large-scale dataset for Sentinel-2 Image Super-Resolution by Cesar Aybar, David Montero, Julio Contreras, Simon Donike, Freddie Kalaitzis, Luis Gómez-Chova

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Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish by Elisa Myllylä, Pekka Siirtola, Antti Isosalo, Jarmo Reponen, Satu Tamminen, Outi Laatikainen

“…This highlights the challenge of medical language processing when working with minority languages. Moreover, it was noted that parameter tuning based on translated English reports did not significantly improve the detection rates, likely due to linguistic differences between the datasets. …”
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Contrasting diurnal impacts of vapor pressure deficit on water use efficiency in two semiarid steppe ecosystems by Haoran Xie, Shichao Tian, Fei Li, Jiali Sun, Xinmiao Hu, Haihua Bai, Changliang Shao

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Landscape genetics highlights species-specific ecological influences on gene flow in highland frog populations from northeastern Brazil by José Henrique de Andrade Lima, Marco Katzenberger, Marcelo Gehara, Pedro Ivo Simões

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An fMRI Dataset on Occluded Image Interpretation for Human Amodal Completion Research by Bao Li, Li Tong, Chi Zhang, Panpan Chen, Long Cao, Hui Gao, ZiYa Yu, LinYuan Wang, Bin Yan

“…This dataset includes fMRI responses and behavioral data from 65 participants. The OIID enables researchers to identify the brain regions involved in processing occluded images and examines individual differences in functional responses. …”
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Bilingual Dialogue Dataset with Personality and Emotion Annotations for Personality Recognition in Education by Zhi Liu, Yao Xiao, Zhu Su, Luyao Ye, Kaili Lu, Xian Peng

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A dataset for recognition of Arabic accents from spoken L2 English speech (ArL2Eng) by Manssour Habbash, Sami Mnasri, Mansoor Alghamdi, Malek Alrashidi, Ahmad S. Tarawneh, Abdullah Gumair, Ahmad B. Hassanat

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Coding and non-coding RNA expression in NSC34 cells following TDP-43 depletion and mutant TDP-43 M337V expression by Ismail Gbadamosi, Sandra Binias, Bartłomiej Gielniewski, Ramiro Magno, Isabel Duarte, Ali Jawaid

“…Primarily localized in the nucleus under physiological conditions, TDP-43 is a critical regulator of RNA processing and metabolism. Therefore, RNA changes induced by TDP-43 depletion or mutation could play an important role in the pathogenesis of ALS and other TDP-43 related NDDs.To investigate these effects in NSC34 motor neuron-like cells, a commonly used cellular model of ALS, we used RNA interference to knock down TDP-43 and overexpressed the ALS-associated TDP-43 M337V mutation. …”
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Multimodal sensor dataset from vehicle-mounted mobile mapping system for comprehensive urban scenes by Shengyu Lu, Sheng Bao, Wenzhong Shi, Yitao Wei, Shuyu Zhang, Daping Yang

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Technologies, Protocols, and applications of Internet of Things in greenhouse Farming: A survey of recent advances by Khalid M. Hosny, Walaa M. El-Hady, Farid M. Samy

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Multifractal analysis of wind turbine power and rainfall from an operational wind farm – Part 2: Joint analysis of available wind power and rain intensity by J. Jose, A. Gires, E. Schnorenberger, Y. Roustan, D. Schertzer, D. Schertzer, D. Schertzer, I. Tchiguirinskaia

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Scaling and intermittent properties of oceanic and atmospheric <i>p</i>CO₂ time series and their difference in a turbulence framework by K. Robache, F. G. Schmitt, Y. Huang, Y. Huang

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Statistical and neural network assessment of the climatology of fog and mist at Pula Airport in Croatia by M. Zoldoš, M. Zoldoš, T. Džoić, J. Jurković, F. Matić, S. Jambrošić, I. Ljuština, M. Telišman Prtenjak

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School Leadership and Management in the Age of Artificial Intelligence (AI): Recent Developments and Future Prospects by Turgut Karakose, Tijen Tülübaş

“…With the advent of Artificial Intelligence (AI), it has become possible to invent computer systems that can perform human-like processes to tackle large data and solve complex problems. …”

A dataset for vineyard disease detection via multispectral imagingZenodo by Alessio Saccuti, Filippo Graziosi, Dario Lodi Rizzini

“…The present dataset is a collection of multispectral images designed for development of detection algorithms for grapevine diseases like Flavescence dorée (FD) and Esca (ED). Although FD severely threatens viticulture, there are few public datasets and none with multispectral data collected in the field. …”
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Dual-modal edible oil impurity dataset for weak feature detection by Huiyu Wang, Qianghua Chen, Jianding Zhao, Liwen Xu, Ming Li, Ying Zhao, Qinpei Zhao, Qin Lu

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