Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure by Chunzhong Li, Chenglan Liu, Wenliang Ju, Yuanquan Zhong, Yonghui Li

“…Firstly, the article utilized a score management system and intelligent cameras to collect multimodal learning data; then, the original signal was decomposed into detail layers and approximation layers of different frequencies using wavelet transform, and high-frequency detail layers were processed for denoising through threshold functions; afterwards, in order to reduce the network size and parameters, attention mechanism was applied to screen the input features of the neural network; using students, teachers, and learning resources as network nodes, the connections between nodes were analyzed and a complex network topology structure was constructed; then, attention mechanism was used to fuse multimodal data, assigning different weights to each modality, integrating educational information, and highlighting key information in the prediction task. …”
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A POD-Based Reduced-Dimension Method for Solution Coefficient Vectors in the Crank–Nicolson Mixed Finite Element Method for the Fourth-Order Parabolic Equation by Xiaohui Chang, Hong Li

“…This clearly demonstrates the significant advantage of the RDCNMFE method in saving computational resources.…”
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Exploring habitat‐density relationships and model transferability for an alpine bird using abundance models by Håkon Brandt Fjeld, Jan Eivind Østnes, Erlend B. Nilsen

“…Abstract Because resources for monitoring and conservation are often limited, a primary objective in applied ecological research is to predict key state variables in one context (the prediction context) using models fitted to data collected in another context (the estimation context). …”
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Growth Performance, Feed Intake and vegf121 Gene Expression Feature of Dwarf Cyprinus carpio rubrofuscus by Shuozhen CHEN, Dongmei MA, Zaixuan ZHONG, Jiajia FAN, Huaping ZHU, Huanhuan SU

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Isolation and Identification of Alkaloid Genes from the Biomass of <i>Fritillaria taipaiensis</i> P.Y. Li by Nong Zhou, Chun-Mei Mei, Fu-Gui Chen, Yu-Wei Zhao, Ming-Guo Ma, Wei-Dong Li

“…Li is a valuable traditional Chinese medicinal herb that utilizes bulbs as medicine, which contain multiple alkaloids. …”
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Hand–Eye Separation-Based First-Frame Positioning and Follower Tracking Method for Perforating Robotic Arm by Handuo Zhang, Jun Guo, Chunyan Xu, Bin Zhang

“…Additionally, the GIoU loss function is introduced to replace the traditional IoU, further optimizing bounding box regression through the calculation of the minimum enclosing box. …”
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TOP: A Combined Logical and Physical Obfuscation Method for Securing Networks-on-Chip Against Reverse Engineering Attacks by Mona Hashemi, Siamak Mohammadi, Trevor E. Carlson

“…First, our centralized approach combines power-gating and structure obfuscation, ensuring efficiency and scalability to corrupt the function and traffic pattern of the network when an incorrect key is presented. …”
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Ecological Dynamics of Forest Stands with <i>Castanopsis argentea</i> (Blume) A.DC. in a Mountain Ecosystem: Vegetation Structure, Diversity, and Carbon Stock Under Tourism Pressur... by Reny Sawitri, Nur Muhammad Heriyanto, I Wayan Susi Dharmawan, Rozza Tri Kwatrina, Hendra Gunawan, Raden Garsetiasih, Mariana Takandjandji, Anita Rianti, Vivin Silvaliandra Sihombing, Nina Mindawati, Pratiwi, Titi Kalima, Fenky Marsandi, Marfuah Wardani, Denny, Dodo

“…Its population is limited, and as a valuable biological resource, <i>Castanopsis</i> has traditionally been utilized by indigenous communities, particularly those residing in proximity to the forest. …”
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Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification by Aysel Topşir, Ferdi Güler, Ecesu Çetin, Mehmet Furkan Burak, Melih Ağraz

“…Abstract Thyroid disease classification is a critical challenge in medical diagnostics, requiring accurate differentiation between hyperthyroidism, hypothyroidism, and normal thyroid function. This study introduces an advanced machine learning approach that integrates generative adversarial networks (GANs) for data augmentation and Kolmogorov-Arnold networks (KANs) for classification. …”
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Characterizing the magnetic noise power spectrum of dark spins in diamond by Ethan Q Williams, Chandrasekhar Ramanathan

“…We develop techniques utilizing harmonics of the CPMG filter function to improve characterization of high-frequency signals, which we demonstrate on the ^13 C nuclear Larmor frequency. …”
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Establishing the best step-up treatments for children with uncontrolled asthma despite inhaled corticosteroids: the EINSTEIN systematic review, network meta-analysis and cost-effec... by Sofia Cividini, Ian Sinha, Giovanna Culeddu, Sarah Donegan, Michelle Maden, Katie Rose, Olivia Fulton, Dyfrig Hughes, Stephen Turner, Catrin Tudur Smith

“…Secondary outcomes included quality of life, mortality, forced expiratory volume in 1 second (FEV1), adverse events (AEs), hospital admissions, costs, resource use and utilities to inform the economic model. …”
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Estimating the Economic and Clinical Value of Reducing Antimicrobial Resistance to Three Gram-negative Pathogens in Japan by Tetsuya Matsumoto, Oliver Darlington, Ryan Miller, Jason Gordon, Phil McEwan, Takahisa Ohashi, Amer Taie, Akira Yuasa

“…Clinical and economic outcomes were assessed as a function of varying AMR levels of three Gram-negative pathogens in Japan by up to 100% of the current level…”
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Metallography Specimen Mounting Device Suitable for Industrial or Educational Purposes by Alfredo Márquez-Herrera

“…The device is designed to produce high-quality polymer encapsulated samples that rival those obtained from commercial equipment ($5000–$10,000 USD). Utilizing the House of Quality (HoQ) framework within Quality Function Deployment (QFD), the device prioritizes critical customer requirements, including safety (validated via finite element method, FEM), affordability, and compatibility with standard hydraulic presses. …”
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Internet usage time and trust in doctors: evidence from China by Qiuming Gao, Xuechun Wang, Zhen Lin, Zangyi Liao

“…However, for social media engagement, its overall effect on trust in doctors is negative, potentially due to social media’s dual function as a communication platform and an information source. …”
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Consensus Guided Multi-View Unsupervised Feature Selection with Hybrid Regularization by Yifan Shi, Haixin Zeng, Xinrong Gong, Lei Cai, Wenjie Xiang, Qi Lin, Huijie Zheng, Jianqing Zhu

“…Multi-source heterogeneous data has been widely adopted in developing artificial intelligence systems in recent years. …”
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Unraveling Cordia myxa’s anti-malarial potential: integrative insights from network pharmacology, molecular modeling, and machine learning by Yufei Miao, Wenkang Liu, Sarah Mohammed Saeed Alsallameh, Norah A. Albekairi, Ziyad Tariq Muhseen, Christopher J. Butch

“…This study establishes a groundwork for comprehending the function of the anti-malaria action of C. myxa.…”
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Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich wastewater by Manoj Kumar, Rohil Saraf, Shishir Kumar Behera, Raja Das, Mansi Aliveli, Arindam Sinharoy, Eldon R. Rene, Ravi Krishnaiah, Kannan Pakshirajan

“…Using genetic algorithm (GA) with appropriate objective functions, optimal sets of inputs were obtained to ensure maximum RE at a minimum HRT. …”
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Machine learning-based model for CD4+ conventional T cell genes to predict survival and immune responses in colorectal cancer by Zijing Wang, Zhanyuan Sun, Hengyi Lv, Wenjun Wu, Hai Li, Tao Jiang

“…The immunological responses to cancer heavily rely on the function of CD4Tconv. Despite this critical role, prognostic studies on CRC-related CD4Tconv remain insufficient. …”
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Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…We articulate the mathematical characteristics of feature selection driven by NAM, delineate the convergence attributes of the loss function, and present measures of explainability through Shapley Additive Explanations (SHAP). …”
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Identification of microbial exopolymer producers in sandy and muddy intertidal sediments by compound-specific isotope analysis by Hubas, Cédric, Gaubert-Boussarie, Julie, D’Hondt, An-Sofie, Jesus, Bruno, Lamy, Dominique, Meleder, Vona, Prins, Antoine, Rosa, Philippe, Stock, Willem, Sabbe, Koen

“…The main difference observed was in how epipelic and epipsammic diatoms affected the chemistry of EPS, which had significant implications for the growth of bacteria specialized in utilizing EPS. These differences were likely linked to variations in the functioning of epipelic and epipsammic communities, specifically in how EPS was used either for motility or for cell attachment. …”
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