A Multimodal Approach for Early Identification of Mild Cognitive Impairment and Alzheimer’s Disease With Fusion Network Using Eye Movements and Speech by Hasnain Ali Shah, Sami Andberg, Anne M. Koivisto, Roman Bednarik

“…Moreover, the results indicate that using multimodal data (gaze + speech) significantly improves classification accuracy compared to unimodal data from speech or gaze alone.…”
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Community Social Capital and All-cause Mortality in Japan: Findings From the Adachi Cohort Study by Hiroshi Murayama, Mika Sugiyama, Hiroki Inagaki, Ayako Edahiro, Fumiko Miyamae, Chiaki Ura, Keiko Motokawa, Tsuyoshi Okamura, Shuichi Awata

“…A multilevel survival analysis with an average follow-up of 1,656 days showed that higher district-level neighborhood cohesion was associated with a lower risk of all-cause mortality in men (hazard ratio 0.92; 95% confidence interval [CI], 0.84–0.99 for the highest quintile and 0.91; 95% CI, 0.82–0.99 for the second, compared to the lowest), but not in women. …”
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Integrated Dynamic Power Management Strategy with a Field Programmable Gate Array-Based Cryptoprocessor System for Secured Internet-of-Medical Things Networks by Javier Vázquez-Castillo, Daniel Visairo, Ramón Atoche-Enseñat, Alejandro Castillo-Atoche, Renán Quijano-Cetina, Carolina Del-Valle-Soto, Jaime Ortegón-Aguilar, Johan J. Estrada-López

“…Advancements in electronics and sensor technologies are driving the deployment of ubiquitous sensor networks across various applications, including asset monitoring, security, and networking. …”
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Analyzing and forecasting the dynamics of Internet resource user sentiments based on the Fokker–Planck equation by J. P. Perova, S. A. Lesko, A. A. Ivanov

“…The current state of the comment network graph can be described using a vector whose elements are the average value of the mediation coefficient, the average value of the clustering coefficient, and the proportion of users in a corresponding state. …”
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Scaling of fractured rock flow. Proposition of indicators for selection of DFN based flow models by Davy, Philippe, Le Goc, Romain, Darcel, Caroline, Selroos, Jan-Olof

“…The analysis of the models showed that the percolation scale is controlled by the open-DFN structure and that the percolation scale can be predicted from a scale analysis of the percolation parameter (basically, the third moment of the fracture size distribution that provides a measure of the network connectivity). …”
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教育變革下偏遠教師的成就目標與 組織承諾之關係研究：社會網絡行為之 中介效果與多群組分析 The Relationship Between Achievement Goals and Organizational Commitment of Remote Teachers Under Educational Reform: The Mediating Eff... by 陳慧蓉 Karen Hui-Jung Chen

“…In conclusion, this study explored the relationships between teachers’ achievement goals, social networking behaviors, and organizational commitment using data from remote and urbanr schools. …”
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PCRFed: personalized federated learning with contrastive representation for non-independently and identically distributed medical image segmentation by Shengyuan Liu, Ruofan Zhang, Mengjie Fang, Hailin Li, Tianwang Xun, Zipei Wang, Wenting Shang, Jie Tian, Di Dong

“…Abstract Federated learning (FL) has shown great potential in addressing data privacy issues in medical image analysis. However, varying data distributions across different sites can create challenges in aggregating client models and achieving good global model performance. …”
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Application of artificial intelligence in Alzheimer’s disease: a bibliometric analysis by Sijia Song, Tong Li, Wei Lin, Ran Liu, Yujie Zhang

“…Future research will explore AI methods, particularly task analysis, emphasizing integrating multimodal data and utilizing deep neural networks. …”
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Analysis of College Classes Based on U-CLASS System Using Personal Mobile Nodes by Chonggun Kim, Jeongmi Kim, Hohwan Park, Ilkyu Ha

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Analysis of the electric vehicle charging station coverage in an Italian alpine region by D. Bacilieri, M. Ciolli, P. Zatelli

“…Custom software has been developed and released under the GNU GPL license for the network analysis for this research, while all the carthographic processing has been carried out in QGIS. …”
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Quantification of Subsurface Hydrological Connectivity Using Wavelet Coherence Analysis by REN Ruijie, Fan Bihang, ZHANG Yaling, WANG Erqing, YANG Ruxin, HAN Xiaole, LIU Jintao, GUO Li

“…This is associated with the high rock fragment content (>40%) in the ridge zone, facilitating the formation of continuous macropore networks. 4)Wavelet coherence analysis proved feasible for quantifying dynamic hydrological processes, effectively capturing multi-scale soil moisture resonance phenomena. …”
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Enmob: Unveil the Behavior with Multi-flow Analysis of Encrypted App Traffic by Ge Mengmeng, Feng Ruitao, Liu Likun, Yu Xiangzhan, Sachidananda Vinay, Xie Xiaofei, Liu Yang

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MeDiStore trust protocol integrating reputation based proof of stake consensus for enhanced security of blockchain networks in electronic health record management by Adla Sanober, Shamama Anwar

“…The framework leverages Elliptic Curve Cryptography (ECC) to encrypt and secure patient records, ensuring data ownership remains with the patient. To further enhance scalability, security, and reliability, of the blockchain network, the MeDiStore Trust Protocol, introduced a modified Proof of Stake (PoS) consensus mechanism that evaluates validators based on their network stake and reputation score, derived from their historical performance. …”
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A hybrid model for short-term offshore wind power prediction combining Kepler optimization algorithm with variational mode decomposition and stochastic configuration networks by Bingbing Yu, Yonggang Wang, Jun Wang, Yuanchu Ma, Wenpeng Li, Weigang Zheng

“…Finally, a multi-seasonal and multi-scenario wind power forecasting analysis is conducted by using an actual data set from an offshore wind farm in China. …”
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Dimensionless Analysis of Rough Roadway Airflow Distribution Based on Numerical Simulations by Zongcheng Jia, Qiang Zhao, Yan Zhao, Baoyu Cui, Tao Song

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Analysis and prediction of infectious diseases based on spatial visualization and machine learning by Yunyun Cheng, Yanping Bai, Jing Yang, Xiuhui Tan, Ting Xu, Rong Cheng

“…Then, autoregressive integrated moving average model (ARIMA), extreme learning machine (ELM), support vector regression (SVR), wavelet neural network (Wavelet), recurrent neural network (RNN) and long short-term memory (LSTM) were used to predict COVID-19 epidemic data in Guangdong Province, China; And the prediction performance of each model was compared through prediction accuracy indicators. …”
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ANALYSIS OF SOME ECONOMIC VARIABLES IN SLOVENIAN FARMS USING FADN DATASET by Nicola GALLUZZO

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AI-integrated IQPD framework of quality prediction and diagnostics in small-sample multi-unit pharmaceutical manufacturing: Advancing from experience-driven to data-driven manufact... by Kaiyi Wang, Xinhai Chen, Nan Li, Huimin Feng, Xiaoyi Liu, Yifei Wang, Yanfei Wu, Yufeng Guo, Shuoshuo Xu, Lu Yao, Zhaohua Zhang, Jun Jia, Zhishu Tang, Zhisheng Wu

“…This facilitates the transition from experience-driven to data-driven manufacturing.…”
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Brainwide Analysis of Functional Connectivity Patterns in Specific Phobia and Its Treatment by Markus Muehlhan, Judith Schäfer, Kevin Hilbert, Esther Seidl, Katja Beesdo-Baum

“…Methods: We used functional magnetic resonance imaging in combination with hypothesis-free, data-driven functional connectivity multivariate pattern analysis (fc-MVPA) to identify differences between 72 individuals with SP and a nonphobic control group (CG) (n = 82). …”
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The analysis of radioecological monitoring results in the vicinity of the Kursk Nuclear Power Plant by V. K. Kuznetsov, A. V. Panov, N. I. Sanzharova, N. N. Isamov, N. V. Andreeva, I. V. Geshel, E. V. Sidorova

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