Analysis of Cardiac Arrhythmias Based on ResNet-ICBAM-2DCNN Dual-Channel Feature Fusion by Chuanjiang Wang, Junhao Ma, Guohui Wei, Xiujuan Sun

“…When evaluated on the MIT-BIH database, our method achieves a classification accuracy of 97.80%. …”
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Risky sexual behavior and the HIV gender gap for younger adults in sub-Saharan Africa by Elad Daniels, Gary Gaumer, Fairooz Newaz, Allyala K Nandakumar

“…Risky sexual behaviors are important drivers behind the HIV prevalence gender gap among younger adults in sub-Saharan Africa. # Methods We used nationally representative survey data from three sub-Saharan African countries, Malawi, Tanzania and Zambia, to explain the relationship between HIV prevalence and having an older partner and/or having multiple partners using a logit model. …”
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A Novel Algorithm for Estimating the Sand Dune Density of the Taklimakan Desert Based on Remote Sensing Data by Mingyu Wang, Yongqiang Liu, Huoqing Li, Minzhong Wang, Wen Huo, Zonghui Liu

“…Owing to the limitations of estimation methods and data availability, accurately quantifying dune density has posed a significant challenge; in response to this issue, we propose an innovative model to estimate dune density using a dune vertex search combined with four-directional orographic spectral decomposition. …”
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Side-chain moieties from the N-terminal region of Aβ are Involved in an oligomer-stabilizing network of interactions. by Kaja Przygońska, Jarosław Poznański, Ulrik H Mistarz, Kasper D Rand, Michał Dadlez

“…We provide a hypothetical molecular model of the trajectory that allows a gradual conversion from antiparallel to parallel oligomers without decomposition of oligomers. …”
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Using Artificial Intelligence for Competitive Procurements: Legal Regulation Issues by D. A. Kazantsev, P. Dohnal, P. Dohnal Jr.

“…Objective: to substantiate the promising directions of legal regulation of relations in the use of artificial intelligence technologies in competitive (commercial and public) procurement.Methods: the study was conducted using induction, synthesis, analogy, decomposition of problems and generalization of conclusions. …”
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Thermochemical conversion of waste hemp textiles into hierarchical porous carbons for CO2 capture: Kinetic insights and structure–property relationships by Zihan Wang, Tianxin Li, Boling Song, Shoujun Liu, Sha Li

“…Thermogravimetric analysis coupled with model-free kinetic methods (Flynn–Wall–Ozawa and Kissinger–Akahira–Sunose) quantitatively revealed a three-stage decomposition mechanism, demonstrating exceptional consistency in apparent activation energies (220.0–221.2 kJ/mol). …”
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Solvolytic recycling of unsaturated polyester resin-based sheet moulding composites [version 1; peer review: 1 approved, 2 approved with reservations] by Mark Roelands, Richard van Someren, Annemieke van de Runstraat, John van de Moosdijk

“…This paper investigates a broad scope of reaction conditions for the solvolysis of SMC’s based on unsaturated polyester resins (UPR). Methods The Hansen Solubily Parameter theory was used to model and select prospective solvents for the project. …”
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The elderly as a population at risk of chronic obstructive pulmonary disease mortality due to ambient ozone exposure: results from the Global Burden of Disease Study 2021 by Hongjuan Fang, Qiang Wang

“…Age-period-cohort (APC) model was used to analyse independent age, period and cohort effects. …”
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CoTD-VAE: Interpretable Disentanglement of Static, Trend, and Event Components in Complex Time Series for Medical Applications by Li Huang, Qingfeng Chen

“…Furthermore, existing time series disentanglement methods, including traditional trend or seasonality decomposition techniques, struggle to adequately separate clinically crucial specific components: static patient characteristics, condition trend, and acute events. …”
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Diagnosis of COVID-19 from Chest X-Ray Images Using Wavelets-Based Depthwise Convolution Network by Krishna Kant Singh, Akansha Singh

“…The predicted output from the model is combined with Grad-CAM visualization for diagnosis. …”
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Multiple Classifier System for Handling Imbalanced and Overlapping Datasets on Multiclass Classification by Dessy Siahaan, Anwar Fitrianto, Khairil Anwar Notodiputro

“…The Synthetic Minority Oversampling Technique (SMOTE) method was also applied to balance the dataset. The One Versus One (OVO) decomposition technique helped the multiclass classification process. …”
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House Swallow Optimizer: A New Meta-Heuristic Algorithm and Its Application for DOA Estimation of Broadband Signal in Vector Hydrophone Array by Jie Dong, Lifu Wang, Shuhui Qiao, Peng Wang, Xiuhui Tan

“…Initially, the SST algorithm is employed for signal preprocessing, where broadband signals are transformed into narrowband equivalents through eigenvalue decomposition. This step facilitates the formulation of a ML-based DOA estimation model, which is subsequently optimized using the HSO algorithm. …”
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Global trends and projections in the burden of malignant neoplasm of bone and articular cartilage by Jialiu Fang, Xiaoyue Zhang, Rui Zhu, Xing Xing, Ziyuan Shen, Jisen Zhang, Guoqi Cai

“…We employed decomposition analysis to explore how population growth, aging, and epidemiological shifts impact MNBAC’s burden. …”
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MSLI-Net: retinal disease detection network based on multi-segment localization and multi-scale interaction by Zhenjia Qi, Jin Hong, Jilan Cheng, Guoli Long, Hanyu Wang, Siyue Li, Shuangliang Cao

“…Additionally, a multi-segmented lesion localization module (LLM) is integrated within each branch of a modified feature pyramid network (FPN) to effectively extract critical features while suppressing background noise through parallel branch refinement, and a wavelet subband spatial attention module (WSSA) is designed to significantly improve the model’s overall performance in noise suppression by collaboratively processing and exchanging information between the low- and high-frequency subbands extracted through wavelet decomposition.ResultsExperimental evaluation on the OCT-C8 dataset demonstrates that MSLI-Net achieves 96.72% accuracy in retinopathy classification, underscoring its strong discriminative performance and promising potential for clinical application.ConclusionThis model provides new research ideas for the early diagnosis of retinal diseases and helps drive the development of future high-precision medical imaging-assisted diagnostic systems.…”
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Global, regional, and national prevalence of prostate cancer from 1990 to 2021: a trend and health inequality analyses by Xiaohu Zhao, Shuchen Liu, Zhihui Zou, Chaozhao Liang

“…APC modeling indicated the highest relative risk around age 75—nearly 10 times that of the general population (RR: 9.99; 95% CI: 9.97–10.01). …”
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Detection of Low-Flying Target under the Sea Clutter Background Based on Volterra Filter by Hongyan Xing, Yan Yan

“…In order to detect low-flying small targets in complex sea condition effectively, we study the chaotic characteristic of sea clutter, use joint algorithm combined complete ensemble empirical mode decomposition (CEEMD) with wavelet transform to de-noise, and put forward a detection method for low-flying target under the sea clutter background based on Volterra filter. …”
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Energy Characteristics of Seismic Waves on Cardox Blasting Tube by Xuejiao Cui, Bo Ke, Songtao Yu, Ping Li, Mingsheng Zhao

“…Combining wavelet packet transform decomposition and reconstruction and adaptive optimal kernel time-frequency analysis method, the liquid CO2 energy distribution of the seismic wave signal was further analyzed. …”
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Hybrid Movie Recommendation System With User Partitioning and Log Likelihood Content Comparison by Yongmao Yang, Kampol Woradit, Kenneth Cosh

“…Under the premise that our model employs consistent evaluation metrics and datasets, comparative analysis against existing models from related literature demonstrates superior performance. …”
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Gearbox fault diagnosis using data fusion based on self-organizing map neural network by Zhang Qiang, Gu Jieying, Liu Junming, Tian Ying, Zhang Shilei

“…This article aims to provide an efficient fault diagnosis method for gearbox. A self-organizing map–based fault model is developed to provide effective diagnosis of the faults of gearboxes using the gear signals extracted from gearboxes operating with zero and three different types of faults. …”
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Estimation of DOA for Noncircular Signals via Vandermonde Constrained Parallel Factor Analysis by Heyun Lin, Chaowei Yuan, Jianhe Du, Zhongwei Hu

“…Then, taking the Vandermonde structure of the array manifold matrix into account, the extended matrix can be turned into a tensor model which admits the Vandermonde constrained PARAFAC decomposition. …”
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