Effects of intermittent theta burst stimulation on cognitive and swallowing function in patients with MCI and dysphagia risk: a randomized controlled trial by Jie Wang, Mengqing Zhang, Xiaomei Wei, Cheng Yang, Meng Dai, Zulin Dou, Yonghui Wang

“…Furthermore, changes in MoCA scores were positively correlated with changes in 10-ml OTT (r = 0.648, p = 0.031), as determined by Pearson analysis. Conclusions Navigated iTBS over the rDLPFC has the potential to improve global cognition, response inhibition ability, and certain aspects of swallowing function for patients with MCI at high risk for dysphagia. …”
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Abnormal Regional Spontaneous Neural Activity in Nonarteritic Anterior Ischemic Optic Neuropathy: A Resting-State Functional MRI Study by Pengde Guo, Pengbo Zhao, Han Lv, Yan Su, Ming Liu, Yunxiang Chen, Yan Wang, Haiqin Hua, Shaohong Kang

“…We analyzed the relationship between ReHo values for different brain regions in patients with NAION and intraocular pressure, visual field analysis, and OCT. A receiver operating characteristic (ROC) curve was used to assess the diagnostic ability of the ReHo method. …”
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Advanced ECG feature extraction and SVM classification for predicting defibrillation success in OHCA by Haqi Zhang, Haqi Zhang, Xiaotian Pan, Xiaotian Pan, Shan Zhou, Weiwei Zhang, Jing Chen, Limin Pan

“…These features were derived using standard temporal and frequency domain methods. Subsequent analysis focused on selecting the most predictive features, with QRS complex amplitude, total power, and low-frequency power showing the highest discriminative ability based on their Area Under the Curve (AUC) values. …”
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The spatiotemporal mechanism of surface compound ozone and heat (SCOH) potential risk across urban China by Yufeng Chi, Kai Wang, Yin Ren, Hong Ye

“…Combining BayesConvLightGBM and SHapley Additive exPlanations (SHAP), the quantitative influence of urban factors such as building/canopy height and road length on SCOH in predominant urban is examined through scene analysis and diffusion potential analysis. The results show that SCOH has significant temporal and spatial distribution characteristics. …”
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Effects of Acute Stress on Metabolic Interactions Related to the Tricarboxylic Acid (TCA) Cycle in the Left Hippocampus of Mice by Chang-Soo Yun, Yoon Ho Hwang, Jehyeong Yeon, Hyeon-Man Baek, Dong Youn Kim, Bong Soo Han

“…However, in the acute stress group, glutathione (GSH) and N-acetyl aspartate (NAA) showed a significant positive correlation over time, with a high correlation coefficient exceeding 0.5. Conclusions: Temporal measurement of GSH and NAA, combined with correlation analysis, offers a comprehensive understanding for the metabolic dynamics during acute stress. …”
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Digital biomechanical assessment of gait in patients with peripheral neuropathies by Clara Tejada-Illa, Jordi Pegueroles, Mireia Claramunt-Molet, Ariadna Pi-Cervera, Ainhoa Heras-Delgado, Jesus Gascón-Fontal, Sebastian Idelsohn-Zielonka, Mari Rico, Nuria Vidal, Lorena Martín-Aguilar, Marta Caballero-Ávila, Cinta Lleixà, Roger Collet-Vidiella, Laura Llansó, Álvaro Carbayo, Ana Vesperinas, Luis Querol, Elba Pascual-Goñi

“…Our aim was to explore the ability of biomechanical analysis using wearable technology to monitor disease activity in PN. …”
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The effects of flight training on flying cadets' brain structure. by Liang Wang, Chengshi Yang, Dongfeng Yan, Lu Ye, Xi Chen, Shan Ma

“…At the voxel level, the GMV in the left temporal pole: middle temporal gyrus region of flying cadets significantly decreased (Gaussian random field, GRF, P < 0.05). …”
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Translation, validation and extended factor models of the German State Difficulties in Emotion Regulation Scale (S-DERS) by M. Sicorello, M. Elsaesser, D. R. Kolar

“…This highlights the need for state-like measures to capture these temporal dynamics in both laboratory and real-world contexts, such as the State Difficulties in Emotion Regulation Scale (S-DERS). …”
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Multichannel convolutional transformer for detecting mental disorders using electroancephalogrpahy records by Mamadou Dia, Ghazaleh Khodabandelou, Syed Muhammad Anwar, Alice Othmani

“…Recently, deep learning techniques have gained prominence for their ability to analyze complex datasets, such as electroencephalography recordings. …”
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Spatiotemporal Evolution of Precipitation Concentration in the Yangtze River Basin (1960–2019): Associations with Extreme Heavy Precipitation and Validation Using GPM IMERG by Tao Jin, Yuliang Zhou, Ping Zhou, Ziling Zheng, Rongxing Zhou, Yanqi Wei, Yuliang Zhang, Juliang Jin

“…Precipitation concentration reflects the uneven temporal distribution of rainfall. It plays a critical role in water resource management and flood–drought risk under climate change. …”
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Accounting for spatiotemporal patterns of long‐term recursion in estimating local‐scale step selection by Michael E. Egan, Nicole T. Gorman, Michael W. Eichholz, Dan Skinner, Peter E. Schlichting, Guillaume Bastille‐Rousseau

“…Specifically, since the used and available steps in SSA are associated with specific places and times, covariates must account for variation in spatial and temporal patterns of long‐term behaviour. Unless properly accounted for, the effects of long‐term recursive behaviour will inhibit the ability of SSA to characterize fine‐scale behaviours such as predator response or foraging ecology.…”
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Predicting Potentially Suitable Habitats and Analyzing the Distribution Patterns of the Rare and Endangered Genus <i>Syndiclis</i> Hook. f. (Lauraceae) in China by Lang Huang, Weihao Yao, Xu Xiao, Yang Zhang, Rui Chen, Yanbing Yang, Zhi Li

“…Landscape pattern analysis revealed increased habitat fragmentation under warming conditions, with only 4.08% of suitable areas currently under effective protection. …”
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Central auditory system assessment in children and adolescents with cystic fibrosis: electrophysiology and central auditory processing by Paula Maria Martins-Duarte, Gabriel Hessel, Antônio Fernando Ribeiro, Fernando Augusto Lima Marson, Maria Francisca Colella-Santos

“…Conclusion: Cystic fibrosis participants presented worse performance in the gaps-in-noise test compared to the control group in the evaluation of central auditory processing, which indicates impairment of temporal resolution auditory ability. They also showed increased latency in I and V waves of auditory brainstem response, as well as an increase P300 latency in long latency auditory evoked potential.…”
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BCTDNet: Building Change-Type Detection Networks with the Segment Anything Model in Remote Sensing Images by Wei Zhang, Jinsong Li, Shuaipeng Wang, Jianhua Wan

“…BCTDNet’s effectiveness and robustness in complex urban scenarios highlight its potential for applications in land-use analysis and urban planning.…”
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DDA-MSLD: A Multi-Feature Speech Lie Detection Algorithm Based on a Dual-Stream Deep Architecture by Pengfei Guo, Shucheng Huang, Mingxing Li

“…The results indicate that the algorithm has a strong generalization ability in different scenarios.…”
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Identification of Green Tide Decomposition Regions in the Yellow Sea, China: Based on Time-Series Remote Sensing Data by Guangzong Zhang, Yufang He, Lifeng Niu, Mengquan Wu, Hermann Kaufmann, Jian Liu, Tong Liu, Qinglei Kong, Bo Chen

“…Currently, the identification of areas affected by green tides primarily relies on certain methods, such as ground sampling and biochemical analysis, which limit the ability to quickly and dynamically identify decomposition regions at large spatial and temporal scales. …”
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Prediction of Carbonate Reservoir Porosity Based on CNN-BiLSTM-Transformer by Yingqiang Qi, Shuiliang Luo, Song Tang, Jifu Ruan, Da Gao, Qianqian Liu, Sheng Li

“…Root mean square error (RMSE), mean absolute error (MAE), and the coefficient of determination (R²) are used as evaluation metrics for comprehensive analysis and comparison. The model extracts curve features through the CNN layer, captures both short- and long-term neighborhood information via the BiLSTM layer, and utilizes the Transformer layer with a self-attention mechanism to focus on temporal information and input features, effectively capturing global dependencies. …”
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Crude Oil and Hot-Rolled Coil Futures Price Prediction Based on Multi-Dimensional Fusion Feature Enhancement by Yongli Tang, Zhenlun Gao, Ya Li, Zhongqi Cai, Jinxia Yu, Panke Qin

“…In addition, a deep fusion model is constructed, which combines the temporal feature extraction ability of the convolution neural network with the nonlinear mapping advantage of an extreme gradient boosting tree. …”
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Dynamic shifts in isomiR profiles during parasite maturation of Fasciola hepatica by Dayna Sais, Sumaiya Chowdhury, Phuong Thao Nguyen, Krystyna Cwiklinski, Trung Duc Nguyen, Tuan Anh Nguyen, John Dalton, Sheila Donnelly, Nham Tran

“…Notably, isomiRs were often the dominant miRNA form in NEJs, whereas a transition to canonical miRNAs occurred as the parasite matured. This temporal variation suggests that isomiR expression may be linked to the parasite’s life cycle. …”
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A data-driven hybrid framework for voltage transformer ratio error prediction: Addressing challenges in complex power systems by Jiuxi Cui, Zhenhua Li, Heping Lu, Feng Zhou, Haoyu Chen, Zhenxing Li

“…At the same time, the Autocorrelation Function (ACF) processes time series data to identify temporal dependencies and select effective features. …”
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