An Explainable Bayesian TimesNet for Probabilistic Groundwater Level Prediction by Zechen Peng, Shaoxing Mo, Alexander Y. Sun, Jichun Wu, Xiankui Zeng, Miao Lu, Xiaoqing Shi

“…BTimesNet's superior performance stems from its ability to extract both short‐ and long‐term temporal features. …”
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Unstable foveation’s impact on reading, object tracking, and its implications for diagnosing and intervening in reading difficulties by Niloufar Chamani, Michael Christoph Schmid, Samy Rima

“…This study therefore investigates the link between foveation during reading and the tracking of moving targets, in a large group of participants displaying variable reading speeds in a virtual reality environment. Our analysis shows that slower readers have more intrusive fixational eye movements characterized by greater spatial and temporal variability during reading. …”
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Phosphoproteome dynamics of Saccharomyces cerevisiae under heat shock and cold stress by Evgeny Kanshin, Peter Kubiniok, Yogitha Thattikota, Damien D'Amours, Pierre Thibault

“…Abstract The ability of cells and organisms to survive and function through changes in temperature evolved from their specific adaptations to nonoptimal growth conditions. …”
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An Anomaly Detection Method for Multivariate Time Series Data Based on Variational Autoencoders and Association Discrepancy by Haodong Wang, Huaxiong Zhang

“…Notably, it exhibits enhanced capability in modeling temporal dependencies and identifying nuanced anomaly patterns. …”
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Model of risk optimization of charitable activity of socially responsible business in conditions of hybrid war by S.F. Legenchuk, I.M. Vygivska, G.Yu. Khomenko

“…An integral part of such a business in a hybrid war is its social responsibility, including the ability to carry out charitable activities. The article examines the identification of risks that cause the phenomenon of hybrid warfare (risk of hostilities, political, informational, social, budgetary, inflationary, economic, religious and humanitarian risks), as well as the identification of business risks in times of conflict (reputational, strategic, informational, territorial, temporal, property, inflationary, investment, moral, legal, social, risk of reduced profitability, insolvency, deterioration of financial stability, political, risk of hostilities, climate, personnel, production, logistics, IT risk, technical, world price volatility, changes in gas prices, fuel, energy, credit, liquidity, changes in interest rates, currency, environmental, the risk of failure to expand business, public risk (municipal), the risk of corruption). …”
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A Perspective on Quality Evaluation for AI-Generated Videos by Zhichao Zhang, Wei Sun, Guangtao Zhai

“…By jointly encoding cues from multiple modalities such as vision, language, sound, and even depth, the MLLM can leverage its powerful language understanding capabilities to assess the quality of scene composition, motion dynamics, and narrative consistency, overcoming the fragmentation of hand-engineered metrics and the poor generalization ability of CNN-based methods. Furthermore, we provide a comprehensive analysis of current methodologies for assessing AIGC video quality, including the evolution of generation models, dataset design, quality dimensions, and evaluation frameworks. …”
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Flood Hazard Assessment Using Weather Radar Data in Athens, Greece by Apollon Bournas, Evangelos Baltas

“…Results from six flood events underscore its ability to identify high-risk areas dynamically, with urban regions frequently flagged for flooding unless initial soil moisture conditions are low. …”
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Effects of maternal rumen microbiota on the development of the microbial communities in the gastrointestinal tracts of neonatal sika deer by Yan Zhang, Shuang Liang, Seongho Choi, Guangyu Li

“…The results suggest that MRMT had no significant effect on the growth of calves but markedly lowered the duration of diarrhea and increased rumen fermentation in sika deer calves. Sequencing analysis of 16S rRNA gene amplicons revealed that MRMT increased the ability of some microbial taxa to colonize the GIT or enabled the colonization of others, which caused the ruminal microbial communities in sika deer calves to shift such that they resembled those of their mothers and promoted the temporal development of gut microbial diversity in deer calves. …”
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LSTM-Based Neural Network to Recognize Human Activities Using Deep Learning Techniques by Sunitha Sabbu, Vithya Ganesan

“…Deep learning techniques have recently demonstrated their ability to be applied in any field, including image processing, natural language processing, speech recognition, and many other real-world problem-solving applications. …”
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Frontotemporal structure preservation underlies the protective effect of lifetime intellectual cognitive reserve on cognition in the elderly by Dandan Wang, Xin Li, Mingxi Dang, Shaokun Zhao, Feng Sang, Zhanjun Zhang

“…Confirmatory factor analysis was performed to derive LICR score and cognitive function scores, then the hierarchical regression analysis was used to explore the relationship between LICR and cognitive functions and the risk of MCI. …”
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Machine learning identifies KRT8 dysregulation and endothelial remodeling in Moyamoya disease by Zhiguang Han, Jialong Yuan, Zhenyu Zhou, Yutong Liu, Chengxu Lei, Xun Ye, Yuanli Zhao, Shihao He

“…In this study, RNA seq was performed on the superficial temporal arteries of 10 patients with MMD. Integrated analysis was conducted by combining validation set with training set. …”
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Unlocking the InSAR potential for managing underground gas storage in salt caverns by Gabriele Fibbi, Roberto Montalti, Matteo Del Soldato, Stefano Cespa, Alessandro Ferretti, Riccardo Fanti

“…The study also introduced the RTK cross-correlation analysis to refine displacement interpretations, enhancing the ability to isolate gas storage induced deformation from unrelated surface processes. …”
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Inter-annual cascade effect on marine food web: A benthic pathway lagging nutrient supply to pelagic fish stock. by Lohengrin Dias de Almeida Fernandes, Eduardo Barros Fagundes Netto, Ricardo Coutinho, PELD-RECA

“…Currently, spatial and temporal changes in nutrients availability, marine planktonic, and fish communities are best described on a shorter than inter-annual (seasonal) scale, primarily because the simultaneous year-to-year variations in physical, chemical, and biological parameters are very complex. …”
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The Historical Space-Time Continuum as an Anthropological Phenomenon by Yu. L. Sirotkin

“…We could note an increased interest in spatial and temporal problems in Russian philosophical thought in the realities of the 20th century. …”
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THE RECURRENT APPROACH TO RISK MANAGEMENT IN INNOVATIVE ACTIVITY by G. Brega

“…It is based on a matrix system of risk analysis. This model is determined by a combination of the following requirements: the regard for the range of risk temporal boundaries; the determination of the zone of economic stability; the hierarchical character of the risk management model; the consistency in building risk management model; the determination of major groups and subgroups of resources; the determination of expected or desired results. …”
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Applying PageRank to Team Ranking in Single-Elimination Tournaments: Evidence from Taiwan’s High School Baseball by Yu-Chia Hsu, Wen-Jie Zhang

“…Second, PageRank rankings were assessed for temporal robustness, demonstrating stable performance across seasons and under varying data inputs. …”
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Nonlinearity-induced corner states in a kagome lattice by K Prabith, Georgios Theocharis, Rajesh Chaunsali

“…Employing quench dynamics simulations and nonlinear continuation methods, we analyze the temporal and spectral characteristics of localized states under strong nonlinearity. …”
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WGAN-GP-Based Conditional GAN (cGAN) With Extreme Critic for Precipitation Downscaling in a Key Agricultural Region of the Northeastern U.S. by Jangho Lee, Sun Young Park

“…Experimental results reveal that cGAN_ext not only preserves fine-grained spatial details but also better represents heavy precipitation episodes, thereby improving essential metrics such as mean squared error, fractions skill scores for extremes, and temporal correlation. Visual analysis further confirms the model’s ability to reproduce sharp precipitation fronts and narrow bands, underscoring the benefits of integrating an extreme-classification objective into a WGAN-GP cGAN pipeline. …”
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Integrated export instream coefficient model for accurate nonpoint source pollution estimation and management in the Yellow River Basin by Xueting Wang, Lei Wu, Yongkun Luo, Yimu Liu, Ruowen Wang

“…Future research can further explore the impact of improving temporal resolution, future climate change and combining hydrodynamic models on the ability to simulate the amount of pollutants entering the river.…”
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A Machine Learning Approach to Produce a Continuous Solar‐Induced Chlorophyll Fluorescence Over the Arctic Ocean by Nima Madani, Nicholas C. Parazoo, Manfredi Manizza, Abhishek Chatterjee, Dustin Carroll, Dimitris Menemenlis, Vincent Le Fouest, Atsushi Matsuoka, Kelly M. Luis, Camila Serra‐Pompei, Charles E. Miller

“…To mitigate these deficiencies, solar‐induced chlorophyll fluorescence (SIF) has emerged as a valuable tool for gaining physiological insights into the direct photosynthetic processes of the AO. However, the temporal coverage of satellite SIF data makes long‐term analysis of Chl_a photosynthetic activity challenging. …”
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