What Happens Inside the Germinating Grain After Microbial Decontamination by Pulsed Electric Field? Data-Driven Multi-Omics Helps Find the Answer by Milena Stranska, Adam Behner, Jaroslava Ovesna, Pavel Svoboda, Jana Hajslova

“…The aim of this study was to describe the effects of PEF on gene expression and metabolite production at the pre-finishing stage of barley malting by using a novel multi-omics data-driven approach. The study helps to uncover the processes occurring in the germinated grain and discusses the up-/downregulation of genes and metabolites in relation to fungal infection and/or PEF-induced abiotic stress. …”
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Genesis of the Zhijiadi Ag-Pb-Zn Deposit, Central North China Craton: Constraints from Fluid Inclusions and Stable Isotope Data by Tao Liu, Suo-Fei Xiong, Shao-Yong Jiang, Hua-Liang Li, Qi-Zhi Chen, Hai Jiang

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Disagreement on estimating cause of death under tuberculosis treatment between the national tuberculosis registry and statistics data in South Korea, 2011–2020 by Chiwook Chung, Seung Won Lee, Dawoon Jeong, Hongjo Choi, Hojoon Sohn, Doosoo Jeon, Young Ae Kang

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UK APAP R-Matrix Electron-Impact Excitation Cross-Sections for Modelling Laboratory and Astrophysical Plasma by Giulio Del Zanna, Guiyun Liang, Junjie Mao, Nigel R. Badnell

“…Recently, we made available the H- and He-like collision strengths. Here, we provide data for ions of the Li-, Be-, B-, C-, N-, O-, Ne-, Na-, and Mg-like sequences.…”
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ArabSis: Arabic Corpus Sentiment Analysis by Ziad Doughan, Sari Itani, Samir Itani

“…Despite rapid progress in natural language processing (NLP), the development of specialized resources for niche domains—critical for specialized applications like affective computing and emotionally intelligent AI—remains a persistent challenge. …”
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TRANSFORMATIVE TECHNOLOGIES by Grzegorz Bryda, António Pedro Costa

“…This reflection explores the integration of artificial intelligence (AI) and advanced visualisation techniques within computer-assisted qualitative data analysis software (CAQDAS) tools. This integration has significantly improved qualitative data analysis by enhancing the coding and analysis processes. …”
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"Energetics of the outer retina II: Calculation of a spatio-temporal energy budget in retinal pigment epithelium and photoreceptor cells based on quantification of cellular process... by Christina Kiel, Stella Prins, Alexander J E Foss, Philip J Luthert

“…Here, anatomical, physiological and quantitative molecular data were used to calculate the ATP expenditure of the main energy-consuming processes in three cell types of the OR for the night and two different periods during the day. …”
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A Comprehensive Review on the Application of 3D Convolutional Neural Networks in Medical Imaging by Satyam Tiwari, Goutam Jain, Dasharathraj K. Shetty, Manu Sudhi, Jayaraj Mymbilly Balakrishnan, Shreepathy Ranga Bhatta

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Using 3D observations with high spatio-temporal resolution to calibrate and evaluate a process-focused cellular automaton model of soil erosion by water by A. Eltner, D. Favis-Mortlock, O. Grothum, M. Neumann, T. Laburda, P. Kavka

“…<p>Future global change is likely to give rise to novel combinations of the factors which enhance or inhibit soil erosion by water. …”
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Design Considerations for 1.6 Tbit/s Data Center Interconnects: Evaluating IM/DD and Coherent Transmission over O-Band Transmission Window by Adrian A. Juarez, Yanjun Zhu, Xin Chen, Ming-Jun Li

“…As data center interconnects surge towards a 1.6 Tbit/s data rate, achieving cost-effective and technically viable solutions present challenges. …”
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Integrating Equation Coding with Residual Networks for Efficient ODE Approximation in Biological Research by Ziyue Yi

“…The complexity of biological systems, combined with large volumes of data, necessitates precise mathematical models like ordinary differential equations (ODEs) to describe interactions within these systems. …”
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pyJSON Schema Loader and JSON Editor: A tool for file-based metadata management by Nick Plathe, Markus M. Becker, Steffen Franke

“…The newly developed tool aims to support the generation and re-use of structured metadata, required for the implementation of research data management and the FAIR data principles in research workflows. pyJSON is written in Python, a modern and flexible programming language. …”
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Identifying the patterns of ultra-processed food consumption and their characteristics in the UK adults using the UK National Diet and Nutritional Surveys 2008/09 to 2018/19 by Martino Bussa, Federico Ambrogi, Valeria Edefonti, Martin O’Flaherty, Yanaina Chavez-Ugalde, Zoè Colombet

“…Older participants (>68 years) were more likely to adhere to the “Sweet Foods” pattern (OR: 2.39; 95% CI: 1.99-2.87) and less likely to be part of the “Fast Foods” pattern (OR: 0.47; 95% CI: 0.40-0.55) compared to younger individuals (< 29). …”
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Detecting the Distribution of Callery Pear (<i>Pyrus calleryana</i>) in an Urban U.S. Landscape Using High Spatial Resolution Satellite Imagery and Machine Learning by Justin Krohn, Hong He, Timothy C. Matisziw, Lauren S. Pile Knapp, Jacob S. Fraser, Michael Sunde

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Knowledge Discovery Using Clustering Methods in Medical Database: A Case Study for Reflux Disease by Fatma Rıdaouı, Yunus Doğan

“…Digitalization spreads day by day around the world; thus, the amount of data collected is on the rise. An increasing amount of data leads us to use the data and get the advantage of it by using methods like Data mining. …”
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Effects of replacing rye silage with mixed rye-vetch-straw silage on feed intake, milk production, digestion processes, and blood metabolites in dairy cows by G. Terler, T. Gruber, T. Hartinger, Q. Zebeli

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Digital twins as global learning health and disease models for preventive and personalized medicine by Xinxiu Li, Joseph Loscalzo, A. K. M. Firoj Mahmud, Dina Mansour Aly, Andrey Rzhetsky, Marinka Zitnik, Mikael Benson

“…Digital twins are virtual representations of health and disease processes that can integrate real-time data and simulations to predict, prevent, and personalize treatments. …”
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Comparing physician associates and foundation year two doctors-in-training undertaking emergency medicine consultations in England: a mixed-methods study of processes and outcomes by Simon de Lusignan, Mary Halter, Carly Wheeler, Laura Nice, Sally Brearley, James Ennis, Jonathan Gabe, Heather Gage, Phil Begg, Chao Wang, Jim Parle, Vari Drennan

“…Objectives To compare the contribution of physician associates to the processes and outcomes of emergency medicine consultations with that of foundation year two doctors-in-training.Design Mixed-methods study: retrospective chart review using 4 months’ anonymised clinical record data of all patients seen by physician associates or foundation year two doctors-in-training in 2016; review of a subsample of 40 records for clinical adequacy; semi-structured interviews with staff and patients; observations of physician associates.Setting Three emergency departments in England.Participants The records of 8816 patients attended by 6 physician associates and 40 foundation year two doctors-in-training; of these n=3197 had the primary outcome recorded (n=1129 physician associates, n=2068 doctor); 14 clinicians and managers and 6 patients or relatives for interview; 5 physician associates for observation.Primary and secondary outcome measures The primary outcome was unplanned re-attendance at the same emergency department within 7 days. …”
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A new approach for monitoring spatial and temporal changes in forest types in subtropical regions with sample migration and multi-source remote sensing data by Pengfei Zheng, Dongyang Han, Jiang Liu, Bin Xu, Panfei Fang, Shaodong Huang, Wendou Liu, Shaozhi Chen

“…We propose a novel workflow for processing ground survey data to generate stable reference samples, which are then used with a transfer learning approach to construct a multi-year sample library. …”
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Neuromorphic chips for biomedical engineering by Kaiyang Wang, Shuhui Ren, Yunfang Jia, Xiaobing Yan, Lizhen Wang, Yubo Fan

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