Cross-Modal Complementarity Learning for Fish Feeding Intensity Recognition via Audio–Visual Fusion by Jian Li, Yanan Wei, Wenkai Ma, Tan Wang

“…Although existing studies have attempted to combine acoustic and visual information, most adopt simple feature-level fusion strategies, which fail to fully explore the complementary advantages of the two modalities under different environmental conditions and lack dynamic evaluation mechanisms for modal reliability. To address these problems, we propose the Adaptive Cross-modal Attention Fusion Network (ACAF-Net), a cross-modal complementarity learning framework with a two-stage attention fusion mechanism: (1) a cross-modal enhancement stage that enriches individual representations through Low-rank Bilinear Pooling and learnable fusion weights; (2) an adaptive attention fusion stage that dynamically weights acoustic and visual features based on complementarity and environmental reliability. …”
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Mechanism of action of Xipayimaizibizi oral liquid on outlet obstruction-induced overactive bladder: An integrated study by Menglu Wang, Yang Yang, Yuhang Du, Jiamei Xie, Yige Zhao, Yongcheng An, Ziyi Shan, Shenyujun Wang, Meng Hao, Baosheng Zhao

“…The study observed the body weight, water intake, bladder and kidney indices (to evaluate their general status), urination behavior pattern (to observe frequency and urgency), and urodynamics (to measure bladder parameters). …”
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Performance Optimization and Field Validation of Post-Grouting Geopolymer Materials for Pile Foundations: Microstructural Insights and Environmental Durability by Chongchong He, Zhen Xu, Jing Wang, Pan Li, Yangyang Xia, Chao Zhang, Zhenpeng Chen, Wei He

“…The grout distribution pattern on the pile side exhibited a “compaction-splitting” mechanism. …”
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Multi-View Intrusion Detection Framework Using Deep Learning and Knowledge Graphs by Min Li, Yuansong Qiao, Brian Lee

“…The KG represents relational features combined with spatial features extracted by neural networks, enabling a more comprehensive representation of attack patterns through the synergy of both feature types. …”
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A Study on CNN-Based and Handcrafted Extraction Methods with Machine Learning for Automated Classification of Breast Tumors from Ultrasound Images by Mohamed Benaouali, Mohamed Bentoumi, Mansour Abed, Malika Mimi, Abdelmalik Taleb-Ahmed

“… In this paper, we present an efficient procedure for automatically classifying ultrasound images of benign and malignant breast tumors. We evaluated our approach using four openly available datasets and investigated two categories of feature extraction methods: handcrafted methods (Local Binary Pattern (LBP), Histogram of Oriented Gradients (HOG)) and methods based on convolutional neural network (CNN) models. …”
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Use of the electronic nose to monitor the influences of modified atmosphere packaging on the storage of contaminated garlic by Alireza Makarichian, Ebrahim Ahmadi, Reza Amiri Chayjan, Doostmorad Zafari, Seyed Saeid Mohtasebi

“…Also, the non-destructive technology of the electronic nose (E-Nose) was used as a complementary solution in garlic quality monitoring. The data were evaluated by the Analysis of Variance (ANOVA), Principal Component Analysis (PCA), Backpropagation Neural Network (BPNN), Linear Discriminant Analysis (LDA), and Partial Least-Squares Regression (PLSR) methods. …”
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Machine learning technology in the classification of glaucoma severity using fundus photographs by Sukhumal Thanapaisal, Passawut Uttakit, Worapon Ittharat, Pukkapol Suvannachart, Pawasoot Supasai, Pattarawit Polpinit, Prapassara Sirikarn, Panawit Hanpinitsak

“…Abstract This study evaluates the performance of a machine learning model in classifying glaucoma severity using color fundus photographs. …”
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Circadian rhythm genes and immune cell infiltration in myasthenia gravis: A comprehensive analysis. by Ke Wang, Peng Xu, Jing Lu, Xinchen Ji, Ying Zhang, Yibin Zhang, Dongxu Li, Dongmei Zhang, Tianye Lan, Jian Wang

“…The fluctuating weakness in myasthenia gravis (MG) is clinically described as the "morning improvement and evening worsening" pattern; MG is commonly associated with sleep disorders. …”
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Research on the Spiral Rolling Gait of High-Voltage Power Line Serpentine Robots Based on Improved Hopf-CPGs Model by Zhiyong Yang, Zhen Fang, Shengze Yang, Yuhong Xiong, Daode Zhang

“…Simulation analysis using Simulink–CoppeliaSim evaluates the robot’s obstacle-crossing ability and the optimization of deflection joint signal noise. …”
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Epigenetic modifications in bladder cancer: crosstalk between DNA methylation and miRNAs by Wei Li, Wei Li, Wei Li, Peiyue Luo, Peiyue Luo, Peiyue Luo, Qi Chen, Qi Chen, Qi Chen, Le Cheng, Le Cheng, Le Cheng, Lifeng Gan, Lifeng Gan, Lifeng Gan, Fangtao Zhang, Fangtao Zhang, Fangtao Zhang, Haidong Zhong, Haidong Zhong, Haidong Zhong, Liying Zheng, Biao Qian, Biao Qian

“…Simultaneously, miRNAs can regulate DNA methylation levels by targeting key enzymes such as DNA methyltransferases (DNMTs), thereby establishing a complex feedback regulatory network. A deeper understanding of the crosstalk mechanisms between DNA methylation and miRNAs in BC will contribute to elucidating the complexity and dynamics of epigenetic modifications in this disease, and may provide new molecular targets and strategies for the early diagnosis, treatment, and prognostic evaluation of BC.…”
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Applications of artificial intelligence in neurosurgical education: a scoping review by Hector Julio Piñera-Castro, Christian Borges-García

“…Simulation training utilized neural networks to classify expertise and deliver individualized feedback, though rigid metrics risked oversimplifying skill progression. …”
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Physics-Informed Learning Framework for Lower Limb Kinematic Prediction With Sparse Sensors and Its Application in Chronic Stroke by Yan Guo, Yusuke Sekiguchi, Wen Zeng, Satoru Ebihara, Dai Owaki, Mitsuhiro Hayashibe

“…Kinematic evaluation of gait is critical for biomechanical analysis and disease diagnosis. …”
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Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction by Liana Toderean, Mihai Daian, Tudor Cioara, Ionut Anghel, Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Elissaios Sarmas

“…A genetic algorithm-based hyperparameter optimization method reduces the computational load on edge nodes by efficiently exploring different configurations and using only the most promising ones for edge nodes’ cross-validation. The evaluation results demonstrate a significant improvement in average prediction accuracy and better capturing of energy patterns compared to the federated averaging approach. …”
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Enhancing Creativity and Validation in Explanatory Deep Learning-Based Symbolic Music Generation: A Hybrid Approach With LSTM and Genetic Algorithms by Ahmad Zainul Fanani, Arry Maulana Syarif, Ika Novita Dewi, Abdul Karim

“…The LSTM network produces initial compositions, and the GA module ensures compliance with musical rules, enhancing both explainability and creativity. …”
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Impact of fracturing on the hydrological flow in the Liassic nappe of the Causse d'Agouraï, Middle Atlas, Morocco by Soukaina Mouljebouj, Mohamed Saadi, Afaf Amine, Ayoub Achbaro, Rida Haddane

“…Mapping the fracture network identified three groups of oriented fractures: N-S, NESW, and NW-SE, with the latter being crucial for the drainage and filling of karsts. …”
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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…MTEPN is built upon the CSPDarkNet network, which is employed to extract fundamental features from traffic scene images. …”
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Conception de l’artefact, conception du collectif : dynamique d’un processus de conception ouvert et continu dans une communauté de développement de logiciels libres by Flore Barcellini

“…For instance, generation-evaluation and clarification are the most important collaborative design activities in online discussions we studied.Regarding the design community organization, we show that the Python design community is constituted by local design networks combining users from various application domains around a core group of developers. …”
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Adaptive Intervention Architecture for Psychological Manipulation Detection: A Culture-Specific Approach for Adolescent Digital Communications by Sungwook Yoon, Byungmun Kim

“…The system demonstrated significant improvements over baseline models in detecting various forms of psychological manipulation, particularly in identifying subtle patterns. Our expert evaluation suggests the system’s potential effectiveness in protecting adolescent mental health in digital environments. …”
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Peningkatan Performa Pengelompokan Pola Berpikir Siswa dalam Belajar pada Media Pembelajaran Menggunakan Direct Batch Growing Self Organizing Map by Mochammad Izzuddin, Ahmad Afif Supianto, Tibyani Tibyani, Hilman Ferdinandus Pardede, Asri Rizki Yuliani, Ade Ramdan

“…Each student has their own way of solving the deadlock problem, which is caused by different thinking patterns. Although different, these thinking patterns have similarities that can be grouped so that giving feedback can be done appropriately in groups. …”
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The Effect of Different Altitude Conditions on the Quality Characteristics of Turnips (<i>Brassica rapa</i>) by Peng Jin, Min Liu, Meirong Chen, Weiwai Zhao, Xuemin Zhang, Tao Mou, Wang A., Zongsong Wang, Xingliang Xu, Lili Jiang

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