Longitudinal Network Relationships Between Symptoms of Deviant Peer Affiliation and Internet Gaming Disorder in Adolescents: Prospective Cohort Study by Tingting Gao, Fengtong Qian, Rui Li, Yimeng Lyu, Yingying Su

“…Cross-lagged panel networks analysis was used to explore the directional and temporal associations between individual symptoms of DPA and IGD across time, disentangling within-person dynamics from between-person differences as well as identifying the most influential symptoms that drive their interactions over time. …”
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Location of capture sufficiently characterises lifetime growth trajectories in a highly mobile fish by Joshua S. Barrow, Jian D. L. Yen, John D. Koehn, Brenton Zampatti, Ben Fanson, Jason D. Thiem, Zeb Tonkin, Wayne M. Koster, Gavin L. Butler, Arron Strawbridge, Steven G. Brooks, Ryan Woods, John R. Morrongiello

“…This approach ignores the movement potential of individuals and thus the role of spatio-temporal variation in conditions experienced. Here, we develop a modelling framework that incorporates individual movement information reconstructed via the analysis of chemical tracers in otoliths. …”
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PCA Weight Determination-Based InSAR Baseline Optimization Method: A Case Study of the HaiKou Phosphate Mining Area in Kunming, Yunnan Province, China by Weimeng Xu, Jingchun Zhou, Jinliang Wang, Huihui Mei, Xianjun Ou, Baixuan Li

“…This study introduces a principal component analysis (PCA) method to comprehensively analyze four factors: temporal baseline, spatial baseline, NDVI difference, and coherence, scientifically setting weights to achieve precise selection of interferometric pairs. …”
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Quantitative evaluation and obstacle factor diagnosis of drug regulatory capacity in China. by Mingming Zhai, Liwen Huang, Shijie Sun, Liying Cao, Xueqiong Yue, Yuanxia Hu

“…<h4>Methods</h4>Using the methods of literature research, expert interviews, investigation and analysis, the quantitative evaluation indicator system of supervision ability was established in all directions; the indicator data were collected and quantified; the indicator weight setting algorithm of the evaluation system was improved and the indicator weight was set by combining AHP and entropy method; the differences among eastern, central, and western provincial-level regions were analyzed by variance analysis; panel data were constructed for spatio-temporal evolution analysis; obstacle factor diagnosis model was used to analyze the obstacle factors.…”
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An improved long-term high-resolution surface pCO2 data product for the Indian Ocean using machine learning by Prasanna Kanti Ghoshal, A.P. Joshi, Kunal Chakraborty

“…This analysis underscores the ability of machine learning algorithms to enhance the accuracy of model-simulated surface pCO2 outputs.…”
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Profile Distribution and Migration of Heavy Metals in the Soils of the Kursk Agglomeration (Model Experiments) by N. P. Nevedrov

“…Minimum sorption capacity with respect to zinc was found to be characteristic of sod‐podzol illuvialferruginous soil profiles. Maximum ability to deposit the HMs under analysis (Zn and Pb) was shown in leached chernozem medium loamy soils. …”
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On the Expressiveness of the Approach to Constructing PLC-programs by LTL-Specification by E. V. Kuzmin, D. A. Ryabukhin, V. A. Sokolov

“…This approach provides an ability of correctness analysis of PLC-programs by the model checking method. …”
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Increasing model resolution improves but overestimates global mid-depth circulation simulation by Haihong Guo, Zhaohui Chen, Ruichen Zhu, Jinzhuo Cai

“…An analysis of 17 climate models with varying resolutions reveals that both low and high-resolution models depict weaker current speeds compared with observations. …”
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Hierarchical Vehicle Scheduling Research on Tide Bicycle-Sharing Traffic of Autonomous Transportation Systems by Mai Hao, Ming Cai, Minghui Fang, Shuxin Jin

“…As for extracting historical orders of Mobike in Beijing, an example analysis through the genetic algorithm of HATB is conducted to support effective and efficient scheduling. …”
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The dialogic construction of patient involvement in patient-centred neurorehabilitation by Jannie Uhre

“…I argue that patient involvement is constructed as a demanding process that requires memory, presence, communicative abilities and temporal understanding of personal needs. …”
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Adaptation optimizes sensory encoding for future stimuli. by Jiang Mao, Constantin A Rothkopf, Alan A Stocker

“…We first quantified human subjects' ability to discriminate visual orientation under different adaptation conditions. …”
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Neuronal adaptation translates stimulus gaps into a population code. by Chun-Wei Yuan, Leila Khouri, Benedikt Grothe, Christian Leibold

“…Neurons in sensory pathways exhibit a vast multitude of adaptation behaviors, which are assumed to aid the encoding of temporal stimulus features and provide the basis for a population code in higher brain areas. …”
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Is Grasping Impaired in Hemispatial Neglect? by Monika Harvey, Stephen R. Jackson, Roger Newport, Tanja Krämer, D. Llewlyn Morris, Lindsay Dow

“…Patients with right unilateral cerebral stroke, four of which showed acute hemispatial neglect, and healthy aged-matched controls were tested for their ability to grasp objects located in either right or left space at near or far distances. …”
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A large neuronal dataset for natural category-based free-gaze visual search in macaques by Jie Zhang, Xiaocang Zhu, Huihui Zhou, Shuo Wang

“…Abstract Goal-directed visual attention is a fundamental cognitive process that demonstrates the brain’s remarkable ability to prioritize visual information relevant to specific tasks or objectives. …”
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Organisational Flexibility: Core Business, Interdependence and the Timing of Energy Demand by Blue Stanley, Shove Elizabeth, Kurnicki Karol

“…As we show, the relative ability of specific organisations to adapt depends on a broader nexus of interlinking social practices, temporal arrangements, and cross-cutting commitments.…”
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Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies by K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy

“…Using this cooperative method not only improves the model&#x2019;s ability to forecast outcomes accurately but also enables efficient real-time traffic management, with the ability to adapt to changing conditions. …”
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Enhancing Crop Classification in Emilia-Romagna (Italy) Using Transformer-Based Multi-Source Data Fusion with Thermal Observations by Y. Qi, E. Mandanici, M. Helmy, F. Trevisiol, G. Bitelli

“…Overall, the Transformer model demonstrated exceptional ability in capturing spatial-temporal dependencies in multivariate time-series data. …”
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Hybrid Deep Learning for Human Fall Detection: A Synergistic Approach Using YOLOv8 and Time-Space Transformers by Yousef Sanjalawe, Salam Fraihat, Mosleh Abualhaj, Salam R. Al-E'Mari, Emran Alzubi

“…Our approach integrates YOLOv8 for real-time human detection with Time-Space Transformers for temporal motion analysis, ensuring robust recognition of fall incidents while minimizing false positives and negatives. …”
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A tale of two datasets: using survey data and optical data to characterize long-term tillage intensity dynamics in Kansas by Guanyuan Shuai, Ritvik Sahajpal, Alyssa Kathleen Whitcraft, DeAnn Presley, Ron Graber, Rick Schlender, Dustin Fross

“…By examining crop tillage dynamics over a longer period and across more heterogeneous landscapes, this study provides a more comprehensive analysis to mapping tillage practices at broader temporal and spatial scales.…”
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TSB-Forecast: A Short-Term Load Forecasting Model in Smart Cities for Integrating Time Series Embeddings and Large Language Models by Mohamed Mahmoud Hasan, Neamat El-Tazi, Ramadan Moawad, Amany H. B. Eissa

“…TSB-Forecast demonstrates a stronger ability to combine time-related and contextual information, which helps reduce errors. …”
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