Extraction of Periodic Characteristics and Long-Term Stock Price Forecasting Using Non-Harmonic Analysis With Over 14 Years of NASDAQ Data Before and After COVID-19 by Yuki Kojima, Li Ma, Keisuke Nomoto, Masaya Hasegawa, Shigeki Hirobayashi

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Evaluation of surface albedo products from ERA5, JRA-55, MERRA-2, and CERES-EBAF on the Tibetan Plateau: insights from in-situ observations and MODIS data by Guojin Pang, Lingzhen Meng, Xuejia Wang, Fei Liu, Mengyao Shu, Chunli Ma, Tao Che

“…However, significant discrepancies exist in various albedo datasets, primarily due to variations in the surface data and simulation models employed. This study assessed the applicability of five surface albedo products (MODIS, ERA5, MERRA-2, JRA-55, and CERES-EBAF) in the Tibetan Plateau using nine in-situ monitoring sites and explored the potential factors of vegetation and snow cover on these products. …”
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Applying Multi-Sensor Satellite Data to Identify Key Natural Factors in Annual Livestock Change and Winter Livestock Disaster (<i>Dzud</i>) in Mongolian Nomadic Pasturelands by Sinkyu Kang, Nanghyun Cho, Amartuvshin Narantsetseg, Bolor-Erdene Lkhamsuren, Otgon Khongorzul, Tumendemberel Tegshdelger, Bumsuk Seo, Keunchang Jang

“…In the present study, we tested the applicability of multi-sensor satellite data to account for key natural factors of annual livestock number changes in county-level <i>soum</i> districts of Mongolia. …”
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Streamflow estimation in the Indus River Basin using a water balance framework and artificial neural networks with satellite- and model-derived global hydro-climatic data sources by Hira Sattar, Tsuyoshi Kinouchi

“…First, the water balance framework was employed to select the best-performing datasets for P and E from various sources, including satellite observations, reanalysis products, and combined satellite-gauge data. These selected datasets, together with terrestrial water storage (TWS) from the Gravity Recovery and Climate Experiment (GRACE), were then used in separate applications of the water balance equation and artificial neural networks (ANN) for streamflow estimation. …”
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Integrating UAS-Based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results From a Three-Year-Long Field Campaign by Md Mehedi Farhad, Volkan Senyurek, Mohammad Abdus Shahid Rafi, Sriman Bidhan Baray, Cary McCraine, Lee A. Hathcock, Ardeshir Adeli, Huang Yanbo, Ali C. Gurbuz, Mehmet Kurum

“…The experiment spans three years of data collection over 2.31 hectares of corn and cotton fields, incorporating GNSS-R, multispectral imaging, light detection and ranging, and in situ SM measurements. …”
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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

“…Assessing vines’ vigour is essential for vineyard management and automatization of viticulture machines, including shaking adjustments of berry harvesters during grape harvest or leaf pruning applications. To address these problems, based on a standardized growth class assessment, labeled ground truth data of precisely located grapevines were predicted with specifically selected Machine Learning (ML) classifiers (Random Forest Classifier (RFC), Support Vector Machines (SVM)), utilizing multispectral UAV (Unmanned Aerial Vehicle) sensor data. …”
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Land Surface Temperature Retrieval from Landsat 9 Satellite Data in the Case of Injibara Town and the Surrounding Banja District, Awi Nationality Administrative Zone, Amhara, Ethio... by Minyichil Teshome Kassahun, Nigatu Amsalu Workineh

“…Land surface temperature (LST) is crucial for various applications like agriculture, hydrology, urban planning, and climate analysis. …”
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Prospective external validation of the automated PIPRA multivariable prediction model for postoperative delirium on real-world data from a consecutive cohort of non-cardiac surgery... by Mary-Anne Kedda, Kelly A Reeve, Nayeli Schmutz Gelsomino, Michela Venturini, Felix Buddeberg, Martin Zozman, Reto Stocker, Philipp Meier, Marius Möller, Simone Pascale Wildhaber, Benjamin T Dodsworth

“…This study externally validated the Pre-Interventional Preventive Risk Assessment (PIPRA) algorithm, a CE-certified tool for identifying high-risk patients to enable targeted prevention.Methods A prospective validation study was conducted at a 335-bed Swiss hospital as part of a quality improvement initiative. Data from 866 patients aged ≥60 undergoing non-cardiac, non-intracranial surgery (May–June 2023) were analysed. …”
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A Scalable Data-Driven Surrogate Model for 3D Dynamic Wind Farm Wake Prediction Using Physics-Inspired Neural Networks and Wind Box Decomposition by Qiuyu Lu, Yuqi Cao, Pingping Xie, Ying Chen, Yingming Lin

“…This paper proposes a novel data-driven surrogate modeling framework to bridge this gap, leveraging Neural Networks (NNs) trained on data from the high-fidelity SOWFA (simulator for wind farm applications) tool. …”
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Immigration-specific stress and 24-hour movement behaviors among international nurses in Japan: a network and time-series network analysis using wearable device data by Xinyi Chang, Xiuzhu Gu

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Relações empíricas entre a estrutura da vegetação e dados do sensor TM/LANDSAT Empirical relationship between vegetation structure and TM/LANDSAT data by Luciano J. de O. Accioly, Admilson Pachêco, Thomaz C. e C. da Costa, Osvaldo F. Lopes, Maria A. J. de Oliveira

“…<br>The use of spectral data to estimate the structural parameters of vegetation has been considered as one of the most important applications of the remote sensing of ecosystems. …”
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A Computational Intelligence Framework Integrating Data Augmentation and Meta-Heuristic Optimization Algorithms for Enhanced Hybrid Nanofluid Density Prediction Through Machine and... by Priya Mathur, Hammad Shaikh, Farhan Sheth, Dheeraj Kumar, Amit Kumar Gupta

“…This framework offers a scalable and reliable tool for advancing nanofluid-based applications in thermal engineering and related domains.…”
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Research on insider threat detection based on personalized federated learning and behavior log analysis by Xiaoyun Ye, Faqin Luo, Huangrongbin Cui, Jinlong Wang, Xiaoyun Xiong, Wencui Zhang, Jiawei Yu, Wenhao Zhao

“…While machine learning methods offer certain advantages, they still face challenges in complex data scenarios. This study focuses on the application of Federated Learning in insider threat detection. …”
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Evaluating a Web-Based Application to Facilitate Family-School-Health Care Collaboration for Children With Neurodevelopmental Disorders in Inclusive Settings: Protocol for a Nonran... by Eric Meyer, Hélène Sauzéon, Isabeau Saint-Supery, Cecile Mazon

“…The intervention consisted of using the web-based CoEd application for 3 months to 6 months. This application is composed of a child’s file in which stakeholders of the support team can share information about the child’s profile, skills, aids and adaptations, and daily events. …”
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Analyzing Research Trends in Smart Construction Safety: A Topic Modeling Approach by Hyun Jeong Seo, Young-Geun Yoon

“…The study highlights the application of digital twins, the IoT, and big data for real-time monitoring, predictive risk management, and resource optimization. …”
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Robustness and Efficiency Considerations When Testing Process Reliability with a Limit of Detection by Laura S. Bumbulis, Richard J. Cook

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Past, Present, and Future of HNR: Reflections on the Practices and Methods in Historical Network Research Based on a Quantitative Survey by Lea Weiß, Laura von Welczeck, Malte Vogl, Marten Düring, Aleksandra Kaye, Jascha Merijn Schmitz, Raphael Schlattmann, Bernardo Sousa Buarque

“…In the context of a broadening landscape of methods, the results underline the importance of developing common practices that facilitate data interoperability, resources fostering methodological literacy, as well as approaches for the fitting and validation of promising network analysis methods for various application scenarios in the historical sciences. …”
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Attention and Outcomes Across Learning Conditions in L2 Vocabulary Acquisition: Evidence from Eye-Tracking by Yiyang Yang, Hulin Ren

“…However, the impact of different learning conditions on attention and learning outcomes remains underdeveloped, particularly through the application of eye-tracking technology. This study aims to evaluate the effect of intentional learning conditions (i.e., data-driven learning) on vocabulary learning and attentional allocations. …”
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Digitalisation in Civil Law: Digital Reputation by Salima Sarina, Kultay Adilova, Aigerim Aralbayeva, Elmira Kurmanaliyeva, Galym Teleuyev

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A scoping review by I Gusti Ayu Tirtayani, I Made Wardana, Putu Yudi Setiawan, I Gst. Ngr. Jaya Agung Widagda K

“…The practical implications for marketers include the importance of ethical practices in data handling, algorithm development, and consumer trust-building. …”
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