Time-coexpress: temporal trajectory modeling of dynamic gene co-expression patterns using single-cell transcriptomics data by Shuyi Yang, Anderson Bussing, Giampiero Marra, Michelle L. Brinkmeier, Sally A. Camper, Shannon W. Davis, Yen-Yi Ho

“…Most routine analyses of scRNAseq data focus on individual genes; however, the one-gene-at-a-time analysis is likely to miss meaningful genetic interactions. …”
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Associations of eating and drinking habits with cardiovascular disease and diabetes in the adult population: data from the ESSE-RF epidemiological study by N. S. Karamnova, A. I. Rytova, O. B. Shvabskaya, Yu. K. Makarova, S. A. Maksimov, Yu. A. Balanova, S. E. Evstifeeva, A. E. Imaeva, A. V. Kapustina, G. A. Muromtseva, S. A. Shalnova, O. M. Drapkina

“…The analysis was carried out using data from representative samples of population from 13 Russian regions aged 2564 years (n=19520; men, 7329; women, 12191). …”
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Spatiotemporal Variation in Carbon and Water Use Efficiency and Their Influencing Variables Based on Remote Sensing Data in the Nanling Mountains Region by Sha Lei, Ping Zhou, Jiaying Lin, Zhaowei Tan, Junxiang Huang, Ping Yan, Hui Chen

“…A comprehensive evaluation of the variations in carbon use efficiency (CUE) and water use efficiency (WUE) in the Nanling Mountains Region (NMR) is crucial for gaining insights into the intricate relationships between climate change and ecosystem processes. This study evaluates the spatiotemporal rates of dynamics in CUE, WUE, gross primary productivity (GPP), net primary productivity (NPP), and evapotranspiration (ET) over the period from 2001 to 2023, using remote sensing data and linear regression analysis. …”
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AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition by N. M. Mahowald, L. Li, J. Vira, M. Prank, D. S. Hamilton, H. Matsui, R. L. Miller, P. L. Lu, P. L. Lu, E. Akyuz, D. Meidan, P. Hess, H. Lihavainen, C. Wiedinmyer, J. Hand, M. G. Alaimo, C. Alves, A. Alastuey, P. Artaxo, A. Barreto, F. Barraza, S. Becagli, G. Calzolai, S. Chellam, Y. Chen, P. Chuang, D. D. Cohen, C. Colombi, E. Diapouli, G. Dongarra, K. Eleftheriadis, J. Engelbrecht, C. Galy-Lacaux, C. Gaston, D. Gomez, Y. González Ramos, Y. González Ramos, R. M. Harrison, C. Heyes, B. Herut, B. Herut, P. Hopke, P. Hopke, C. Hüglin, M. Kanakidou, M. Kanakidou, M. Kanakidou, Z. Kertesz, Z. Klimont, K. Kyllönen, F. Lambert, F. Lambert, X. Liu, R. Losno, F. Lucarelli, W. Maenhaut, B. Marticorena, R. V. Martin, N. Mihalopoulos, N. Mihalopoulos, Y. Morera-Gómez, A. Paytan, J. Prospero, S. Rodríguez, S. Rodríguez, P. Smichowski, D. Varrica, B. Walsh, C. L. Weagle, X. Zhao

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Evaluation of the growth process of soot mass due to changes in hydrogen atomic percentage and external heat flux using molecular dynamics simulation by Shouqiang Sun, Ali B.M. Ali, Hadeel Kareem Abdul-Redha, Saja Mohsen Alardhi, Nafis Ahmad, Dilsora Abduvalieva, Soheil Salahshour, Rozbeh Sabetvand

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Performance Evaluation of Indices-Based Query Optimization from Flash-Based Data Centric Sensor Devices in Wireless Sensor Networks by Sanam Shahla Rizvi, Tae Sun Chung

“…In this paper, we evaluate different indices like B-tree, R-tree, and MR-tree by implementing them on log structured external NAND flash memory-based advanced file systems for supporting energy efficient data storage and query optimization from flash based data centric sensor devices in wireless sensor networks. …”
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CoWIN twitter dataset: A comprehensive collection of public discourse on India's COVID-19 vaccination platformMendeley Data by Shubham Mittal, Swarnalakshmi Umamaheswaran

“…The raw data file has tweet details like ID, text, timestamp, user ID, and language. …”
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Determining the Teachers' Attitude towards "Mistake" and "Making Mistakes" in the Learning Process and Improving the Culture facing it (case study: elementary school students) by Mazhar Babaee, Hedyeh Azagh

“…The research tool was a semi-structured interview conducted by the researcher and the data format was audio. Deductive-inductive technique was used to analyze the data. …”
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An Improved Convolutional Neural Network (CNN) for Disease Detection and Diagnosis for Multi-crop Plants by Florence Choong Chiao Mei, Bryan Ng Jan Hong

“…These requirements would likely deter most users in remote areas or poorer economic states. …”
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Dans l’ordinateur d’un médiéviste. Peut-on utiliser un logiciel de personal knowledge management pour appliquer une méthode de recherche historique ? by Simon Rozanès

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LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic Classification by Taja Kuzman, Nikola Ljubesic

“…To mitigate the computational limitations associated with the requirement of processing millions of texts daily, smaller BERT-like student models are fine-tuned on the GPT-annotated dataset. …”
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Revealing porphyry mineralization Cu-Au signatures via analyzing aeromagnetic and remote sensing data of Dara-Monqul, area Egypt by Mahmoud Abdellatif, Sayed O. Elkhateeb, Mahmoud Abd El-Rahman Hegab, Ali Shebl, Ghada Mohamed, Ali M. Mahdi

“…Lithological discrimination and hydrothermal alteration (ferrous silicates, hydroxyl, phyllic and potassic) have been mapped by applying various image processing techniques of Remote sensing data, including False Color Composite (FCC), Principal Component Analysis (PCA), Independent Component Analysis (ICA), Minimum Noise Fraction (MNF), and band ratio (BR). …”
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A personalised health intervention to maintain independence in older people with mild frailty: a process evaluation within the HomeHealth RCT by Rachael Frost, Yolanda Barrado-Martín, Louise Marston, Shengning Pan, Jessica Catchpole, Tasmin Rookes, Sarah Gibson, Jane Hopkins, Farah Mahmood, Benjamin Gardner, Rebecca L Gould, Claire Jowett, Rashmi Kumar, Rekha Elaswarapu, Christina Avgerinou, Paul Chadwick, Kalpa Kharicha, Vari M Drennan, Kate Walters

“…Limitations Census data were only available for all adults aged over 65 in local areas rather than a mildly frail population, who are likely to be older, female and less diverse, and therefore population reach calculations may be less accurate. …”
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Polysomnographic titration of non-invasive ventilation in motor neurone disease (3TLA): protocol for a process evaluation of a clinical trial by Marnie Graco, David J. Berlowitz, Abbey Sawyer, Anne E. Holland, Kate A. Carey, Yasmin Ahamed, Anna Ridgers, Natasha A. Lannin, the 3TLA trial Group

“…This protocol paper describes the rationale, aims and methods of the 3TLA process evaluation. Methods To guide the design of the process evaluation, a logic model representing the 3TLA intervention, the likely mechanisms of impact, potential external contextual factors and assumptions, and the anticipated outcomes was developed by the researchers in collaboration with the 3TLA Trial Steering Committee. …”
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Automated Creation and Provisioning of Decision Information Packages for the Smart Factory by Eva Hoos, Pascal Hirmer, Bernhard Mitschang

“…To support correct and efficient decision making, human actors have to be provided with relevant data depending on the current context. This data needs to be retrieved from distributed sources like bill of material systems, product data management and manufacturing execution systems, holding product model and factory model. …”
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Improved model for intrusion detection in the Internet of Things by Marina S. Amine, Fayza A. Nada, Khalid M. Hosny

“…IoT has become more efficient in processing large amounts of data in less time than before because it does not require human intervention. …”
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Associations between ultra-processed food consumption and duration of exercise with psychological symptoms in Chinese adolescents: a nationwide cross-sectional survey by Wei Zheng, Jianping Xiong, Bo Huang, Qingtao Kong

“…Adolescents with lower exercise durations (<30 min/day) and higher UPF consumption (>6 times/week) were 1.54 times more likely to experience psychological symptoms compared to their peers with healthier behaviors.ConclusionUltra-processed food consumption and duration of exercise were associated with psychological symptoms in Chinese adolescents. …”
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Cyber-Biosecurity Challenges in Next-Generation Sequencing: A Comprehensive Analysis of Emerging Threat Vectors by Nasreen Anjum, Hani Alshahrani, Asadullah Shaikh, Mahreen-Ul-Hassan, Mehreen Kiran, Shah Raz, Abu Alam

“…Key insights include identifying vulnerabilities at various stages of the NGS process—from data generation to analysis and storage—and categorising these threats systematically. …”
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The Correlation of Microscopic Particle Components and Prediction of the Compressive Strength of Fly-Ash-Based Bubble Lightweight Soil by Yaqiang Shi, Hao Li, Hongzhao Li, Zhiming Yuan, Wenjun Zhang, Like Niu, Xu Zhang

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Lentil plant disease and quality assessment: A detailed dataset of high-resolution images for deep learning researchMendeley Data by Eram Mahamud, Md Assaduzzaman, Shayla Sharmin

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