Fast Identification and Detection Algorithm for Maneuverable Unmanned Aircraft Based on Multimodal Data Fusion by Tian Luan, Shixiong Zhou, Yicheng Zhang, Weijun Pan

“…Building upon the YOLO v11 architecture, we develop an enhanced model incorporating four key innovations: (1) A dual-path RGB-IR fusion architecture that exploits complementary multi-modal data; (2) C3k2-DATB dynamic attention modules for enhanced feature extraction and semantic perception; (3) A bilevel routing attention mechanism with agent queries (BRSA) for precise target localization; (4) A semantic-detail injection (SDI) module coupled with windmill-shaped convolutional detection heads (PCHead) and Wasserstein Distance loss to expand receptive fields and accelerate convergence. …”
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Towards Prosthesis Control: Identification of Locomotion Activities through EEG-Based Measurements by Saqib Zafar, Hafiz Farhan Maqbool, Muhammad Imran Ashraf, Danial Javaid Malik, Zain ul Abdeen, Wahab Ali, Juri Taborri, Stefano Rossi

“…Time- and frequency-domain features were extracted by applying independent component analysis (ICA). …”
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Identification of Pyroptosis-Relevant Signature in Tumor Immune Microenvironment and Prognosis in Skin Cutaneous Melanoma Using Network Analysis by Yun Zhu, Dan Han, Hongjue Duan, Qi Rao, Yike Qian, Qiaoyun Chen, Xiao Du, Huanyu Ni, Siliang Wang

“…In addition, a prognostic pyroptosis-related signature (PPRS) model was constructed by performing Cox regression, weighted gene coexpression network analysis (WGCNA), and least absolute shrinkage and selection operator (LASSO) analysis to score SKCM patients. …”
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Identification and validation of a lenvatinib resistance-related prognostic signature in HCC, in which PFKFB4 contributes to tumor progression and lenvatinib resistance by Jinfeng Wang, Jianfei Shi, Lili Mi, Ning Li, Xin Han, Man Zhao, Xiaoling Duan, Guangjie Han, Jiaojiao Hou, Fei Yin

“…Results We developed a lenvatinib resistance-related gene signature (ALPK3, SLC2A2, CTSV, and PFKFB4), and demonstrated that’s a precise, independent, and specific prognostic model for HCC patients. High-risk patients were characterized by a predisposition to TP53 mutations, aggressive tumor features, and treatment resistance. …”
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GPR43 regulates mitochondrial apoptosis through the cyclophilin D pathway in Alzheimer’s disease by Xiaoqin Wang, Shijing Wu, Zhangjing Deng, Mengyu Yan, Dandan Wang, Maojun Yang, Fuxing Zhong, Jiaqi Song, Lihua Chen, Yingxi Chen, Qi Tian, Weihua Yu, Yang Lü

“…Methods Experiments were performed using Aβ1-42-induced C57BL/6 mice (in vivo model) and the mouse hippocampal neuronal cell line HT22 (in vitro model). …”
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Establishment of potential lncRNA-related hub genes involved competitive endogenous RNA in lung adenocarcinoma by Yong Li, Danfei Shi, Yan Jiang, Yanqin Hu, Qiuxia Liu, Yanping Xie, Xilin Zhang

“…Further comparisons of the clinicopathological features and LRHG-related pathways were performed between the two groups. …”
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METTL3-VISTA axis-based combination immunotherapy for APC truncation colorectal cancer by Hui Wang, Yujie Zhang, Ling Wu, Liang Zhao, Hao Chen, Rui Bai, Jianghua Wu, Zetao Chen

“…Adenomatous polyposis coli (APC) mutations have been reported as early-stage characteristic events in CRC, but the role of truncated APC in the CRC immune microenvironment remains unclear and its clinical significance has yet to be explored.Design Adenocarcinoma formation in the colon of the APCMin/+ mouse model, which displays features associated with the translation of truncated APC proteins, was induced by azoxymethane/dextran sodium sulfate. …”
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Title not available by Nga Le Thi Viet, Lan Nguyen Thi Ngoc, Yen Ly Lan, Huy Dinh Tran Ngoc, Thuy Do Minh

“…From that regression model and analysis, it will draw leadership features, strengths of this industrial leader. …”
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Influence of Exercise on Inferior Vena Cava Wall Interaction with Inferior Vena Cava Filters: Results of a Pilot In Vivo Porcine Study by M. Usman Shahid, Neel Nirgudkar, Vishnu Chandra, Sharon Gonzales, Abhishek Kumar

“…Objectives The aim of this study was to assess the effect of mild exercise on inferior vena cava (IVC) filter interaction with imaging and pathological features with the neighboring vessel wall utilizing a porcine model. …”
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Methodical aspects of using of Web 2.0 services in the process of blended learning by Diana V. Moglan

“…The problem of finding the optimal combination of forms, methods and means of training is one of the key to providing a holistic learning process.The purpose of this work is to consider the methodological aspects of the organization of blended learning using Web 2.0 services to improve the quality of educational services and motivate students to perform various types of educational activities.The main part of the article considers with the educational opportunities of the most popular Web 2.0 services, the pedagogical features and the nature of the implementation of study assignments in the process of blended learning, identifies the specifics of implementing joint activities in the Internet, and determines the approaches to organizing the network interaction of the teacher and students. …”
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Diagnostics of the influence of medical and demographic indicators on regional socio-economic systems by M. A. Barinov

“…The relevance of the article is determined by objective features of the development of mesoterritories. The analysis of spatial features of the systems’ functioning was conducted on the materials of the Central Federal District. …”
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Assessment of the MARS Code Using the Two-Phase Natural Circulation Experiments at a Core Catcher Test Facility by Dong Hun Lee, Su Ryong Choi, Kwang Soon Ha, Han Young Yoon, Jae Jun Jeong

“…The facility was modeled by using both one- and three-dimensional components. …”
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Speckle-Driven Unsupervised Despeckling for SAR Images by Fuyu Bo, Xiaole Ma, Shaohai Hu, Gaoyun An, Yidong Li, Yigang Cen

“…Recently, deep-learning-based methods have demonstrated impressive performance in SAR image despeckling. However, due to the unavailability of clean SAR images, supervised despeckling models trained on synthetic noisy images often suffer from poor generalization. …”
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ACTFormer: A Transformer Network With Attention and Convolutional Synergy for Remote Sensing Scene Classification by Chao Xie, Shengyu Zhao, Shutong Ye, Yeqi Fei, Xinyan Dai, Yap-Peng Tan

“…This effectively combines the local feature extraction capability of convolution with the global dependency modeling ability of self-attention. …”
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Numerical Background-Oriented Schlieren for Phase Reconstruction and Its Potential Applications by Shiwei Liu, Yichong Ren, Haiping Mei, Zhiwei Tao, Shuran Ye, Xiaoxuan Ma, Ruizhong Rao

“…This study presents a comprehensive numerical framework for Background-Oriented Schlieren (BOS) to systematically evaluate its performance and reconstructive capabilities under complex flow conditions. …”
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A survey of data-driven fault-diagnosis methods for large-scale industrial production processes by Qianxiang YU, Qing LI, Linlin LI, Yixuan WANG

“…This can be achieved through the introduction of time-series modeling in basic multivariate statistics and the capture of dynamic properties by subspace identification. …”
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Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study by Chengkun Sun, Erin Mobley, Michael Quillen, Max Parker, Meghan Daly, Rui Wang, Isabela Visintin, Ziad Awad, Jennifer Fishe, Alexander Parker, Thomas George, Jiang Bian, Jie Xu

“…Given the distinct pathology of colon cancer (CC) and rectal cancer (RC), we created separate prediction models for each cancer type with various ML algorithms. …”
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SGDO-SLAM: A Semantic RGB-D SLAM System with Coarse-to-Fine Dynamic Rejection and Static Weighted Optimization by Qiming Hu, Shuwen Wang, Nanxing Chen, Wei Li, Jiayu Yuan, Enhui Zheng, Guirong Wang, Weimin Chen

“…We performed experimental evaluations on the TUM RGB-D dataset and the Bonn dataset. …”
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Dual Strategy Based Improved Swarm Intelligence and Stacked LSTM With Residual Connection for Land Use Land Cover Classification by Vinaykumar Vajjanakurike Nagaraju, Ananda Babu Jayachandra, Andrzej Stateczny, Swathi Holalu Yogesh, Raviprakash Madenur Lingaraju, Balaji Prabhu Baluvaneralu Veeranna

“…Land use land cover (LULC) classification using satellite images is crucial for land-use inventories and environment modeling. The LULC classification is a difficult task because of the high dimensional feature space, which affects the classification accuracy. …”
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Microstructural analysis and compressive strength evaluation of interlocking concrete paving blocks incorporating crumb rubber by Matheus David Inocente Domingos, Allan de Oliveira Gomes, Rafael de Oliveira Gomes, Wellington Mazer

“…Imaging Analysis Techniques (IATs) have become instrumental in civil engineering materials research, providing critical insights into the microstructural characteristics of mixtures and enabling associations between these features, numerical parameters, and laboratory-derived mechanical performance data. …”
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