The neurofucntional abnormalities of temporal gyrus underly impaired sensory attenuation in schizophrenia during action-outcome contingent paradigm by Weihao Huang, Jing Shi, Yunhui Ma, Yucong Zhang, Yongqian Wang, Xuteng Wang, Yaling Wen, Shaokun Zhao, Shuping Tan, Zhiren Wang

“…Participants completed voluntary (active) and experimenter-administered (passive) button-press tasks respectively, both eliciting auditory feedback, to isolate the neural correlates of sensory attenuation. Neuroimaging analysis revealed characteristic abnormalities in neural activity within the left middle temporal gyrus/superior temporal gyrus of patients. …”
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Associative memory is more strongly predicted by age-related differences in the prefrontal cortex than medial temporal lobes by Tiago Guardia, Negar Mazloum-Farzaghi, Rosanna K. Olsen, Kamen A. Tsvetanov, Karen L. Campbell

“…It is well established that episodic memory declines with age and one of the primary explanations for this decline is an age-related impairment in the ability to form new associations. At a neural level, both the medial temporal lobe (MTL) and lateral prefrontal cortex (PFC) are thought to be critical for associative memory, and grey matter volume loss in these regions has been associated with age-related declines in episodic memory. …”
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A New Method for Inducing Mental Fatigue: A High Mental Workload Task Paradigm Based on Complex Cognitive Abilities and Time Pressure by Lei Ren, Lin Wu, Tingwei Feng, Xufeng Liu

“…Statistical analyses were performed using analysis of variance (ANOVA) and <i>t</i>-tests. <b>Results</b>: The BS task paradigm, which integrates complex cognitive abilities such as attention, working memory, inhibitory control, cognitive flexibility, and time pressure, demonstrated significantly higher NASA-TLX total scores, as well as elevated scores in mental demand, temporal demand, performance, and frustration scales, compared to the 2-back task. …”
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Neurological function is restored post-ischemic stroke in zebrafish, with aging exerting a deleterious effect on its pathology by Takamasa Mizoguchi, Ayumi Maki, Yuno Nakase, Mayu Okita, Yuina Minami, Misa Fukunaga, Motoyuki Itoh

“…We induced photothrombosis in the telencephalon utilizing rose bengal and conducted a temporal investigation of changes in cerebral vascular function and learning ability. …”
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Compensatory Plasticity in the Lateral Extrastriate Visual Cortex Preserves Audiovisual Temporal Processing following Adult-Onset Hearing Loss by Ashley L. Schormans, Brian L. Allman

“…Thus, the present study provides the first demonstration that audiovisual temporal processing can be preserved following moderate hearing loss via compensatory plasticity in the higher-order sensory cortices that is ultimately characterized by a functional transition in the cortical region capable of temporal sensitivity.…”
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Multimodal Deep Learning Integration of Image, Weather, and Phenotypic Data Under Temporal Effects for Early Prediction of Maize Yield by Danial Shamsuddin, Monica F. Danilevicz, Hawlader A. Al-Mamun, Mohammed Bennamoun, David Edwards

“…In this paper, we showcase the development of a multimodal deep learning model using RGB images, phenotypic, and weather data under temporal effects to predict the yield potential of maize before or during anthesis and silking stages. …”
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Development and temporal external validation of a novel nomogram for predicting one-year mortality in the older adult with hip fracture by Yangfan Gong, Kai Zhang, Wei Chen, Qiqi Yang, Mingyue Shi, Zhao Dong, Zhuohao Yin, Yuyu Zhang, Wei Ge

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A New Frontier in Wind Shear Intensity Forecasting: Stacked Temporal Convolutional Networks and Tree-Based Models Framework by Afaq Khattak, Jianping Zhang, Pak-wai Chan, Feng Chen, Abdulrazak H. Almaliki

“…The framework utilizes the ability of TCNs to capture intricate temporal patterns and integrates it with the predictive strengths of TBMs, such as Extreme Gradient Boosting (XGBoost), Random Forest (RF), and Categorical Boosting (CatBoost), resulting in robust forecast. …”
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The ability of changes in oct angiography values to predict visual field and retinal nerve layer tomography progression in patients with glaucoma progression: A prospective study by Suleyman Demir, Mehmet Talay Koylu, Alper Can Yılmaz

“…The change in OCTA thickness values had insufficient ability to predict the progression of RNFL in the superior, inferior, nasal, temporal and total quadrants (p = 0.55, 0.40, 0.84, 0.91, 0.39, respectively). …”
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Meteorological Drivers and Agricultural Drought Diagnosis Based on Surface Information and Precipitation from Satellite Observations in Nusa Tenggara Islands, Indonesia by Gede Dedy Krisnawan, Yi-Ling Chang, Fuan Tsai, Kuo-Hsin Tseng, Tang-Huang Lin

“…Based on the analyses of interplay with temporal lag, this study investigates the effect of each factor on agricultural drought and attempts to provide early warnings regarding drought in the NTIs. …”
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Spatio-temporal variations in past extreme tree-growth reduction events and their resilience components over northern high-latitude regions by Shunsuke Tei

“…Despite decades of research on temporal variability, the long-term stability and regional representativeness of resilience components remain poorly understood, limiting our ability to predict future forest resilience. …”
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Vision transformer embedded video anomaly detection using attention driven recurrence by Ummay Maria Muna, Shanta Biswas, Syed Abu Ammar Muhammad Zarif, Philip Jefferson Deori, Tauseef Tajwar, Swakkhar Shatabda

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Resting-state BOLD temporal variability of the default mode network predicts spontaneous mind wandering, which is negatively associated with mindfulness skills by Sara Sorella, Cristiano Crescentini, Alessio Matiz, Alessio Matiz, Minah Chang, Alessandro Grecucci, Alessandro Grecucci

“…Our results show that temporal variability of the resting-state DMN predicts spontaneous MW, which in turn is negatively associated with the acting with awareness facet of mindfulness. …”
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TFTformer: A novel transformer based model for short-term load forecasting by Ahmad Ahmad, Xun Xiao, Huadong Mo, Daoyi Dong

“…Recent studies have employed Transformer models in forecasting due to their unique attention mechanisms and ability to extract correlations in data. However, these models face challenges in integrating varied data types and capturing long-term dependencies. …”
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EEG-SymNet: multi-channel EEG signal-based schizophrenia diagnosis using channel recalibration and symmetric spatial temporal transformer network by Naif Alsharabi, Rakesh Kumar Mahendran, Gharbi Alshammari

“…Existing research in schizophrenia diagnosis often faces challenges related to the use of single-channel frequency EEG signals, which can overlook critical information provided by multi-channel data and limit the model’s ability to accurately capture the spatial and temporal dynamics of brain activity. …”
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A spatio-temporal model to reveal oscillator phenotypes in molecular clocks: Parameter estimation elucidates circadian gene transcription dynamics in single-cells. by Måns Unosson, Marco Brancaccio, Michael Hastings, Adam M Johansen, Bärbel Finkenstädt

“…Based on the single-cell model we propose a novel computational stability analysis that allows us to infer two key characteristics, namely the robustness of the oscillations, i.e. whether the reaction network exhibits sustained or damped oscillations, and the profile of the regulation, i.e. whether the inhibition occurs over time in a more distributed versus a more direct manner, which affects the cells' ability to phase-shift to new schedules. …”
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Deep learning optimization of STAR-RIS for enhanced data rate and energy efficiency in 6G wireless networks by Amal Megahed, Ahmed. M. Abd El-Haleem, Mahmoud M. Elmesalawy, Ibrahim I. Ibrahim

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Ways of Time Mythologizing in K.D. Balmont’s Lyrics by Olga G. Lazaresku, Zhaklin A. Vartazarova

“…The main body of the article represents an analysis of how these temporal designations function in Balmont’s poetic works: as realization of the sacral meaning of events or phenomena; as indication of the supernatural essence of an object; as mutual reversibility of the temporary and the eternal; as a cycle of all that happens in the world (a round-dancing of time); as metaphor of transience of life or, conversely, as an opportunity to “stretch out” time in order to fit long years into a single moment. …”
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<span style="font-variant: small-caps">DLMinTC+</span>: A Deep Learning Based Algorithm for Minimum Timeline Cover on Temporal Graphs by Giorgio Lazzarinetti, Riccardo Dondi, Sara Manzoni, Italo Zoppis

“…Key contributions include (i) demonstrating the efficacy of deep learning for temporal combinatorial optimization, achieving superior accuracy and efficiency over state-of-the-art heuristics, and (ii) advancing the analysis of temporal knowledge graphs by incorporating robust, time-sensitive embeddings. …”
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The Role of Cognitive Learner Prerequisites for Cognitive Load and Learning Outcomes in AR-Supported Lab Work by Kristin Altmeyer, Roland Brünken, Jochen Kuhn, Sarah Malone

“…While the Cognitive Theory of Multimedia Learning and the Cognitive Load Theory suggest that AR can reduce extraneous cognitive load (ECL) and foster learning, the empirical results remain inconsistent. This re-analysis of three related studies with different target groups and AR devices explores whether learners’ spatial abilities and verbal working memory capacity moderate the effect of AR support in lab work settings on ECL and conceptual knowledge gains. …”
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