Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification by Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López

“…Importantly, the developed approach remains flexible with respect to the availability of clear temporal observations. …”
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Mining Potential Spammers from Mobile Call Logs by Zhipeng Liu, Dechang Pi, Yunfang Chen

“…With the rapid development of mobile telecommunication, voice call spam has become a growing problem in China. …”
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Relocate to compete: a critical view on the diaspora of Russian athletes by Timur Absalyamov, Mathias Schubert

“…This wave of migration includes both top-level and mid-level athletes, notably featuring six medalists from the 2024 Olympics. The destinations chosen by Russian athletes post-2022 largely align with broader Russian migration patterns, while some also relocated to sporting powerhouses in the Global North. …”
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Effects of seeding rates and nitrogen fertilizer managements on photosynthetic productivity and nitrogen utilization in direct-seeded rice by Jiang Mingjin, Ma Jun, Sun Yongjian, Yan Fengjun, Xu Hui, Yang Zhiyuan, Sun Jiawei

“…Due to the climatic feature of low light, small temperature difference and high humidity, transplanting rice was the major pattern in rice production in Sichuan Basin. …”
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Deep learning-based debris flow hazard detection and recognition system: a case study by Fei Wu, Jianlin Zhang, Dunlong Liu, Andreas Maier, Vincent Christlein

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Deep learning model using continuous skin temperature data predicts labor onset by Chinmai Basavaraj, Azure D. Grant, Shravan G. Aras, Elise N. Erickson

“…We investigated if continuous body temperature exhibits similar changes in women and whether these changes may be linked to hormonal status. Finally, we developed a deep learning model using temperature patterning to provide a daily forecast of time to labor onset. …”
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Psychological implications of early marriages: the unhealed wombs and shattered dreams by Shezah Khalid, Abdul Wahab Yousafzai

“…Borderline personality disorder is a complex psychiatric condition characterized by a pervasive pattern of instability in interpersonal relationships, self-identity, and affective regulation. …”
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Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…Using 300-hour continuous deformation records from multiple cross-sections of the G Tunnel (March 2023), a novel WOA-CNN-GRU model is developed, integrating data preprocessing, feature extraction, and prediction. …”
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From sectors to functions: producer services, metropolisation and agglomeration forces in the Ile-de-France region by Ludovic Halbert

“…The results confirm the multipolar-monocentric pattern which seems to be a common feature in many European cities. …”
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BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices by Emre Şafak, İbrahim Alper Doğru, Necaattin Barışçı, İsmail Atacak

“…Traditional malware detection studies require significant human intervention and resource consumption to analyze all malware files. Moreover, malware developers have developed polymorphism and code obfuscation techniques to evade traditional signature-based detection approaches used by antivirus companies. …”
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In-vitro immune-modulation of triple-negative breast cancer through targeting miR-30a-5p/MALAT1 axis using nano-PDT combinational approach by Asmaa Ramzy, Mohammad Abdel-Halim, Tamer Manie, Noha M. Elemam, Samar Mansour, Rana A. Youness, Aya Sebak

“…The immune-suppressive features of TNBC TIME represent a considerable obstacle to any immunotherapeutic approach. …”
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Fatigue Resistance of Asphalt Concrete Pavements. Peculiarity and Assessments of Potentials by Zhongyu Li, Tingguo Liu, Jicun Shi, Uladzimir Veranko, Vitali Zankavich

“…This situation is a significant feature of the behaviour of asphalt concrete, which opens the way for the development of certain approaches to the analysis of their properties, evaluation of reliability and durability. …”
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Predicting depressive symptoms through social support: a machine learning approach in military populations by Kun-Huang Chen, Pao-Lung Chiu, Ming-Hsuan Chen

“…Subgroup analyses demonstrated similarly high prediction performance, measured by AUPRC, across gender, SES, and future orientation subgroups. Feature importance analyses using the Gini index indicated that different support sources (e.g. leader, peer, senior student) played varying roles across subgroups.Conclusions: Machine learning approaches demonstrate high AUPRC in predicting depressive symptoms and reveal nuanced subgroup patterns in perceived social support needs. …”
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Edge-optimized multimodal cross-fusion architecture for efficient crop disease detection by Thomas Kinyanjui Njoroge, Kelvin Mugoye Shindu, Rachael Kibuku

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Epidemiological trends and clinical characteristics of measles in Iraq (2023–2024): a retrospective cross-sectional study by Mohammed A. Jalal, Kamil M. Halboot, Sundus A. Lami, Entidhar A. Gumar, Mortada H. Kreeb al-Delphi, Faris Lami, Taqi Mohammed Jwad Taher

“…This study aims to analyze the epidemiological patterns and clinical features of measles in Iraq to develop effective public health interventions. …”
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CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland by B. Kraft, M. Schirmer, W. H. Aeberhard, M. Zappa, S. I. Seneviratne, L. Gudmundsson

“…</p> <p>The developed data-driven model demonstrates not only competitive performance, but also notable improvements over traditional hydrological modeling in replicating daily runoff patterns, capturing interannual variability, and discerning long-term trends. …”
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Research on Creep Constitutive Model for High Temperature Reactor Based on Neural Network by ZHANG Fan, DAI Shoutong

“…This research aims to develop a novel creep constitutive model, leveraging neural networks to precisely predict long-term creep behavior from short-term data. …”
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DentoMorph-LDMs: diffusion models based on novel adaptive 8-connected gum tissue and deciduous teeth loss for dental image augmentation by Hanaa Salem Marie, Mostafa Elbaz, Riham sobhy Soliman, Amira Abdelhafeez elkhatib

“…We developed two novel biologically-inspired loss functions integrated within LDMs specifically designed for pediatric dental imaging: Gum-Adaptive Pixel Imputation (GAPI) utilizing adaptive 8-connected pixel neighborhoods that mimic pediatric gum tissue adaptive behavior, and Deciduous Transition-Based Reconstruction (DTBR) incorporating developmental stage awareness based on primary teeth transition patterns observed in children aged 2–12 years. …”
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Monitoring paddy rice cultivation adjustments in Northeast China through time series remote sensing and deep learning by Shihao Wang, Chong Huang, Lingxiao Huang, Xinliang Xu, Huading Shi, Qingbao Gu, Qiang Xue, Shiai Liu, Chenchen Zhang

“…To these, in this study, we developed a paddy rice mapping framework that integrates automatically generated training samples, time series features from key cultivation stages, and a deep learning model to improve paddy rice identification accuracy in Northeast China, which is a typical rice-wetland coexisting area. …”
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Optical thermometry and fingerprint detection in SrLa1−xEuxLiTeO6 phosphors with abnormal thermal quenching effect by Zheng-Rong Xia, Rong-Qing Li, Qing-Hua Zheng, Fang-Fang Liu, Wei-Wei Zhou, Kai-Xuan Yuan, Yue Tong, Wang Zhao

“…Moreover, the fluorescence images of fingerprints developed by SrLa0.5Eu0.5LiTeO6 phosphors were clearly visible, and level I–III detail features were highlighted. …”
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