Data on yield and soil parameters of three diverse tilled long-term experimental sites in Austria (2018–2022) by Alexandra Tiefenbacher, Andreas Schaumberger, Hans-Peter Kaul, Emanuel Zillner, Andreas Hans, Andreas Surböck, Gabriele Gollner, Jürgen Friedel, Pia Euteneuer, Megan Asanza-Grabenbauer, Claudine Egger, Veronika Gaube, Johannes Peterseil, Taru Sandén, Theresa Strobl, Heide Spiegel

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The Influence of Work Life Balance and Psychological Empowerment on Innovative Work Behavior Mediated by Employee Engagement on Employees of PT Sinar Sosro Tbk, Medan City by Fathyah Sauma Rafiqah, Hazmanan Khair

“…Medan City with saturated sampling purposive. Data collection using a questionnaire. Data processing in this study using the PLS (Partial Least Square) 4.0 software program the data collection techniques used in this study are questionnaires (questionnaires), interviews, in analyzing the data and information needed, the authors use data analysis techniques including measurement models (outer model), namely reliability and construct validity; and (b) discriminant validity. (2) structural model analysis (inner model), namely (a) coefficient of determination (R-square); (b) F-square; (c) hypothesis testing, namely (1) direct effect; (2) indirect effect. …”
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Data Mining–Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach by Mohamed Eldawansy, Hazem El Bakry, Samaa M Shohieb

“…Deep learning models were developed using libraries such as PyTorch for training the multilayer perceptron classifier, while CUDA was used to accelerate computations on compatible graphics processing units. Additional libraries from the Python programming language, such as scikit-learn, NumPy, and Pandas, were used for preprocessing, model evaluation, and data manipulation. …”
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Decoding yeast transcriptional regulation via a data-and mechanism-driven distributed large-scale network model by Xingcun Fan, Guangming Xiang, Wenbin Liao, Luchi Xiao, Siwei He, Na Luo, Hongzhong Lu, Xuefeng Yan

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Enhanced bearing health indicator extraction using slope adaptive signal decomposition for predictive maintenance by Dev Bhanushali, Pooja Kamat, Harsh Dhiman

“…This method bridges the gap between signal processing and data-driven prognostics, enabling robust bearing health monitoring under varying operational conditions. …”
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Bayesian optimization of biodegradable polymers via machine learning driven features from low-field NMR data by Ryo Fujita, Yoshifumi Amamoto, Jun Kikuchi

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Design and Research of Intelligent Chatbot for Campus Information Consultation Assistant by Yao Song, Chunli Lv, Kun Zhu, Xiaobin Qiu

“…It can also automatically collect and process teaching data, such as students' learning progress and grades, to help teachers better understand students' learning situations and optimize teaching strategies. …”
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The fatigue life estimation of the porous AlSi9Cu3 alloy based on the classification of pore geometry using multivariate probability distribution density by Dejan Tomažinčič, Branislav Panić, Marko Nagode, Jernej Klemenc

“…With such statistical processing of data, samples with certain geometric characteristics of pores can be placed in a specific fatigue life group. …”
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Base4NFDI: Fostering A Cross-Disciplinary Service Landscape For The German National Research Data Infrastructure by Sandra Zänkert, Antje Manske, Bernhard Miller, Juliane Fluck

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Forensic-medical determination of the severity of closed injuries of the hyoid-laryngeal complex according to the data of a specialized clinic by M.V. Gubin, V.O. Olkhovskyi, G.I. Garyuk, V.M. Gubin

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ReScConv-xLSTM: An improved xLSTM model with spatiotemporal feature extraction capability for remaining useful life prediction of Aero-engine by Mingxing Huang, Lanying Yang, Gang Jiang, Xingan Hao, Hong Lu, Hang Luo, Peng Wang, Jinyang Li

“…Firstly, the model converts one-dimensional signals from multiple sensors into multi-channel two-dimensional wavelet time-frequency images through time window processing, RobustScaler normalization, and the Continuous Wavelet Transform (CWT) method, enhancing the spatiotemporal features of the data and achieving data augmentation and noise reduction. …”
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DISPEL: A Python Framework for Developing Measures From Digital Health Technologies by A. Scotland, G. Cosne, A. Juraver, A. Karatsidis, J. Penalver-Andres, E. Bartholome, C. M. Kanzler, C. Mazza, D. Roggen, C. Hinchliffe, S. Del Din, S. Belachew

“…It already supports formats from different data providers and allows traceable end-to-end processing from raw data collected with wearables and smartphones to structured SDM datasets. …”
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Deceased donor skin banking for making use of cadaveric skin as a temporary coverage: A life saving option to the patients with extensive burn injuries by Abhishek Adhya, Arindam Sarkar, Monoranjan Sow, Soumya Gayen

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Evidence of differences in diurnal electrodermal, temperature and heart rate patterns by mental health status in free-living data by Xin Liu, Nicholas B Allen, Ming-Zher Poh, Daniel McDuff, Isaac Galatzer-Levy, Seamus Thomson, Andrew Barakat, Conor Heneghan, Samy Abdel-Ghaffar, Jacob Sunshine, Lindsey Sunden, John B Hernandez, Allen Jiang, Ari Winbush, Benjamin Nelson

“…However, the inability to measure EDA passively over time and in the real world has limited conclusions that can be drawn about EDA as an indicator of mental health status outside of controlled settings.Objective Recent smartwatches have begun to incorporate wrist-worn continuous EDA sensors that enable longitudinal measurement of sympathetic arousal in everyday life. This work (n=237, 4-week observation period) examines the association between passively collected, diurnal variations in EDA and symptoms of depression, anxiety and perceived stress in a large community sample.Methods We conducted a prospective, non-randomised study to investigate patterns and relationships between digital device use patterns, including sensor data from phones and wearables reflecting both behavioural and physiological processes, and self-reported measures of mental health and well-being. …”
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RAINFALL PREDICTION IN JEMBER REGENCY WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM BASED ON GSMaP SATELLITE DATA by Abduh Riski, Wakhidatun Nafi’u Haqqi, Ahmad Kamsyakawuni

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HCCD: A handwritten camera-captured dataset for document enhancement under varied degradation conditionsMendeley Data by K.S. Koushik, Bipin Nair B J, N. Shobha Rani

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Data-Driven Modeling and Simulation in Forestry and Agricultural Product Transportation Management by Small Businesses: A Case Study by Galina Merkurjeva, Vitalijs Bolsakovs, Jurijs Merkurjevs, Andrejs Romanovs, Wouter Faes

“…This article proposes an innovative methodology for data-driven modeling and simulation of transportation management through cross-sectoral collaboration in small businesses. …”
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Camera Absolute Pose Estimation Using Hierarchical Attention in Multi-Scene by Xinhua Lu, Jingui Miao, Qingji Xue, Hui Wan, Hao Zhang

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The impact of vocational training or retraining on professional activities of older people by Ekaterina S. Lapshova, Svetlana V. Nikolaeva

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Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data. by Nathan J Hostetter, Nicholas J Lunn, Evan S Richardson, Eric V Regehr, Sarah J Converse

“…Overall, age-structured Jolly-Seber models provide a flexible means to investigate ecological and evolutionary processes that shape populations (e.g., via senescence, life expectancy, and lifetime reproductive success) while improving our ability to investigate population dynamics and forecast population changes from capture-recapture data.…”
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