Kawasaki disease: insights into the roles of T cells by Shuhui Wang, Shuhui Wang, Guanghui Qian, Ying Liu, Xuan Li, Hongbiao Huang, Ling Sun, Haitao Lv, Haitao Lv

“…This review delves into the critical role of T cells in the pathogenesis of KD, with a particular focus on how the expansion of CD8+ T cells and the imbalance between Th17 and Tregs contribute to IVIG resistance and persistent inflammation. Our analysis suggests that interventions targeting T cell function could potentially improve the clinical prognosis for KD patients. …”
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Prediction of Composite Panel Operability Under Non-Stationary Heating by the External Environment by Roman Musii, Myroslava Klapchuk, Uliana Zhydyk, Vitaliy Korendiy, Inha Svidrak, Roman Protasov

“…For numerical analysis, a variant of a composite sandwich panel of the ceramic-metal-ceramic structure was chosen. …”
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Integrated Profiling Delineated KIF18A as a Significant Biomarker Associated with Both Prognostic Outcomes and Immune Response in Pancreatic Cancer by Nan K, Zhang L, Zou Y, Geng Z, Huang J, Peng Y, Yin S, Zhang M

“…Further analysis revealed that the expression of KIF18A is closely related to TMB, MSI, and immune cell infiltration. …”
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Free Vibration of a Perfectly Clamped-Free Beam with Stepwise Eccentric Distributed Masses by Gilbert-Rainer Gillich, Zeno-Iosif Praisach, Magd Abdel Wahab, Nicoleta Gillich, Ion Cornel Mituletu, Codrin Nitescu

“…Firstly there is contrived influence of a mass, located on a given position along the beam, upon the modal energies, via an energy analysis method. Secondly, the mass participation coefficient is defined as a function of the mass location and the bending vibration mode number. …”
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Strategies for Scientific and Practicall Search: is There Any Correlation Between the Development of the Gut-Brain Axis and the Sleep Characteristics in Infants? by Irina A. Belyaeva, Tatiana V. Turti, Elena P. Bombardirova, Pavel E. Sadchikov, Alexander Yu. Nagonov

“…The main stages of sleep function development in a child as an important component of the general mental health maturation in relation to environmental factors and family features are presented. …”
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Gaitformer: a spatial-temporal attention-enhanced network without softmax for Parkinson’s disease early detection by Shupei Jiao, Hua Huo, Wei Liu, Changwei Zhao, Lan Ma, Jinxuan Wang, Ningya Xu, Chen Zhang, Dongfang Li

“…Abstract Gait analysis is an increasingly expanding research field, characterized by the application of non-invasive sensors and machine learning techniques across various domains. …”
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DEmiRNA-mRNA regulatory network reveals miR‐122-5p as a regulatory factor of arginine metabolism in necrotizing enterocolitis by Zhili Ding, Ting Guo, Qiang Tang, Yaqiang Hong, Zhibao Lv, Li Lu, Wenjun Zhuang

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Early identification of autism spectrum disorder in preschoolers by static and dynamic amplitude of low-frequency fluctuations features by Kanghui Yu, Kanghui Yu, Shoujun Xu, Shishun Fu, Kelei Hua, Yi Yin, Qiang Lei, Jinwu Liu, Yunfan Wu, Guihua Jiang, Guihua Jiang

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Evaluation of Wind Energy Potential as a Power Generation Source in Chad by Djamal Hissein Didane, Nurhayati Rosly, Mohd Fadhli Zulkafli, Syariful Syafiq Shamsudin

“…The results show that the values of the shape and scale parameters varied over a wide range. Analysis of the seasonal variations showed that higher wind speed values occur when the weather condition is generally dry and they drop considerably when the weather condition is wet. …”
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The Prognostic Implication of Left Atrial Strain Parameters with Conventional Left Atrial Parameters for the Prediction of Adverse Outcomes in Asian Patients with Hypertrophic Card... by Andre Seah, Tony Y. W. Li, Novi Yanti Sari, Chi-Hang Lee, Tiong-Cheng Yeo, James W. L. Yip, Yoke Ching Lim, Kian-Keong Poh, William K. F. Kong, Weiqin Lin, Ching-Hui Sia, Raymond C. C. Wong

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Accurate Transcription Factor Activity Inference to Decipher Cell Identity from Single‐Cell Transcriptomic Data with MetaTF by Yongfei Hu, Yuanyuan Zhu, Guangjue Tang, Ming Shan, Puwen Tan, Ying Yi, Xiyuan Zhang, Man Liu, Xinyu Li, Le Wu, Jia Chen, Hailong Zheng, Yan Huang, Zhuan Li, Xiaobo Li, Dong Wang

“…Overall, metaTF enables robust TF activity analysis from scRNA‐seq data, significantly enhancing the characterization of cell identity and function.…”
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A chitosan/acellular matrix-based neural graft carrying mesenchymal stem cells to promote peripheral nerve repair by Zhifa Zhang, Molin Li, Gang Cheng, Peng Wang, Chunhui Zhou, Yang Liu, Xiaofeng Duan, Jing Wang, Fang Xie, Yaqiong Zhu, Jianning Zhang

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MoSViT: a lightweight vision transformer framework for efficient disease detection via precision attention mechanism by Yuanqi Chen, Aiping Wang, Ziyang Liu, Jie Yue, Enxu Zhang, Fei Li, Ning Zhang

“…Built on the MobileViT V2 framework, MoSViT integrates the CLA focus mechanism, DRB module, MoSViT Block, and the LeakyRelu6 activation function to enhance feature extraction accuracy while reducing computational complexity. …”
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Anaesthetic Challenges in Pulmonary Alveolar Proteinosis: A Rare Case Report by Dasara Nongbet, Priyanka Dev, Vijay Noel Nongpiur, John Muchahary, Pranjal Kalita

“…This comprehensive strategy aims to restore alveolar function and improve the patient’s respiratory status, underscoring the critical role of timely diagnosis and intervention in rare pulmonary disorders.…”
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Pedestrian Trajectory Prediction via Window Attention and Spatial Graph Interaction Network by Xiang Gu, Chao Li, Jie Yang, Jing Wang, Qiwei Huang

“…Moreover, qualitative analysis reveals the model’s excellent generalization ability in handling different scenarios.…”
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Acoustic Characteristics of Bamboo-based Guitar – A Case Study by Aaliyawani Ezzerin Sinin, Sinin Hamdan, Khairul Anwar Mohamad Said, Ahmad Faudzi Musib, Khairil Anwar Dean Kamarudin, Hairul Hafizi Hasnan

“…The Yamaha guitar sound was used as reference for the generally preferred guitar characteristics. This work focused on the acoustic characteristics easily obtained using the frequency spectrum analysis via a PicoScope oscilloscope and spectrogram using Adobe Audition. …”
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Identification of the Physical Fabric Potential to Infill Development Applying Decision Making and GIS Models (case study: Ahvaz) by Ahmad Pourahmad, Saeid Zanganeh Shahraki, Mahmoud Arvin

“…When the relationships among the criteria were determined and drawn based on the Dematel output, the second questionnaire was given to decision makers to calculate the weight and their importance. Generally, when the problem is identified in the spatial multi-criteria analysis, it is necessary to show each criterion in the form of a layer in GIS-based databases. …”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…This study proposes a small target detection algorithm for UAV aerial images using a ConvMixer detection head based on the improved YOLOv7-tiny to address the problems of missed detection and false detection caused by significant variations in target scale, densely distributed small-sized targets and complex backgrounds in UAV aerial images.MethodsFirst, the activation function LeakyReLU is replaced with SiLU to compensate for the limited nonlinear expression of LeakyReLU and to enhance convergence speed and model generalization during training. …”
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Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets by Retinderdeep Singh, Sheifali Gupta, Ashraf Osman Ibrahim, Lubna A. Gabralla, Salil Bharany, Ateeq Ur Rehman, Seada Hussen

“…To address class imbalance and improve model generalization, a customized weighted cross-entropy loss function is incorporated. …”
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Convex Flexible Branch Model (CFBM): Convex model for solving AC/DC hybrid networks optimal power flows by Gregorio Higuera-Gutiérrez, Behzad Kazemtabrizi, Mahmoud Shahbazi

“…Transmission technologies such as VSC-High-Voltage DC (HVDC) transmission and Multi Terminal DC (MTDC) grids are becoming more common due to their advantages for bulk transmission and their ability to provide coupling conditions for RES-based generation. Generally, the Optimal Power Flow (OPF) analysis is used for modelling power systems, but in its standard form, it is computationally difficult to solve because it is non-linear and non-convex and may not be sufficient for modelling new power system paradigms. …”
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