The short-term effects of the implementation of the "Treat All" guidelines on ART service delivery costs in Namibia. by Carl Schutte, Steven Forsythe, Johnface Fedes Mdala, Brady Zieman, Rachael Linder, Lung Vu

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A Hierarchical Children’s Dance Movement Pose Estimation Method Based on Sequence Multiscale Feature Fusion Representation by Yanan Qin, Tao Huang, Guanzhen Tang

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A Band-Stop Filter-Based LQR Control Method for Semi-Active Seat Suspension to Mitigate Motion Sickness by Zhijun Fu, Mengyang Jia, Zhigang Zhang, Dengfeng Zhao, Jinquan Ding, Subhash Rakheja

“…Secondly, the multi-objective butterfly optimization algorithm (MOBOA) is adopted to optimize the LQR controller’s weighting matrices (Q, R) by balancing conflicting requirements in terms of human body displacement limits, acceleration thresholds, and suspension travel. …”
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Enhanced UAV Detection and Classification With Birds Using NLFM Pulse-Doppler Radar by Ju-Hong Park, Yoo-Ho Jang, Sang-Hoon Kang, He-Won Jung, Seong-Ook Park

“…Furthermore, a simple clutter classification algorithm is proposed to classify signals containing micro-Doppler components, such as UAVs or birds, from clutter. …”
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Investigation and optimization of battery thermal management system based on composite phase change material and variable wall liquid cooling plate by Xiaoyong Gu, Wenbo Lei, Jiacheng Xi, Mengqiang Song

“…The results demonstrate a reduction of 1.81 °C in the maximum temperature of the battery pack upon implementation of the variable wall LCP. …”
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Application Status and Prospect of VSC-HVDC Technology for Large-Scale Offshore Wind Farms by Weidong LIU, Qinan LI, Xuan WANG, Fan ZHANG, Lanfang LI, Hui YAN

“…Due to the strong wind resource stability and high annual utilization hours of offshore wind power, with the increasing capacities of offshore wind turbines, the expansion of investment scale and the reduction of construction costs, VSC-HVDC based large-scale offshore wind power transmission technology has become a popular topic for offshore wind power development and research. …”
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Optimization of Energy Systems in a Distribution Micro grid: An Application of the Particle Swarm Optimization by Waleed Khalid Al-Azzawi, Ahmed Kateb Jumaah Al-Nussairi, Hussein Riyadh Taresh, Zainab R. Abdulsada, Kadhum Al-Majdi, Ali H. A, Julayeva Zhazira

“…The advantages of the proposed algorithm have been demonstrated through numerical studies and comparisons, which showed a reduction in operational expenses, carbon dioxide emissions, and fuel consumption during both summer and winter seasons. …”
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Joint Fault Diagnosis of IGBT and Current Sensor in LLC Resonant Converter Module Based on Reduced Order Interval Sliding Mode Observer by Xi Zha, Wei Feng, Xianfeng Zhang, Zhonghua Cao, Xinyang Chen

“…Building upon the estimation results generated by this observer, a diagnostic algorithm featuring adaptive thresholds has been introduced. …”
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Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristics in a real-world application by Miguel Ángel Castán-Lascorz, Antonio Alcaide-Moreno, Jorge Arroyo

“…Furthermore, an adjustment to the Marine Predators Algorithm (MPA) is proposed, targeted at enhancing its exploitation phase in alignment with the established stopping criteria. …”
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Macrostructural Analysis of the Dynamics of the Two-Sector Economy by O. S. Sukharev, E. N. Voronchikhina

“…Thus, the proposed algorithm of macrostructural analysis allowed us to reveal the specifics of the structural dynamics of the Russian economy, revealing the determinants of non-monetary inflation. …”
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ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER by Оlena Akhiiezer, Olha Dunaievska, Anton Rohovyi, Halyna Holotaistrova, Yurii Reshetniak, Serhii Mekhovych

“…The purpose of the article is to develop an economic-mathematical model of the formation of an industrial cluster, and to create an algorithm for cluster zoning of the economy. Tasks to be solved – analysis of the principles of innovative growth, development of a model of an innovation-engineering industrial cluster, formulation of a methodology for the formation of a regional innovation-engineering cluster, analysis and assessment of the features that arise in clusters, use of cluster analysis for systematization, classification and reduction of the number of features. …”
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Catalyzing early ovarian cancer detection: Platelet RNA-based precision screening by Eunyong Ahn, Se Ik Kim, Sungmin Park, Sarah Kim, Hyejin Lee, Yeochan Kim, Sangick Park, Suyeon Lee, Dong Won Hwang, Heeyeon Kim, HyunA Jo, Untack Cho, Juwon Lee, Cheol Lee, TaeJin Ahn, Yong-Sang Song

“…If integrated with current screening methods, our algorithm holds promise for identifying ovarian or endometrial cancer in its early stages.…”
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FLAML version 2.3.3 model-based assessment of gross primary productivity at forest, grassland, and cropland ecosystem sites by J. Lai, J. Lai, Y. Zhang, A. Wang, W. Fei, Y. Diao, R. Li, J. Wu

“…It has the potential to be applied in predicting GPP for different vegetation types at a regional scale.…”
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A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

“…We also define bottom-up parsing algorithms to recommend the suitable crowd prevention plan w.r.t. the crowd level. …”
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Monitoring soil salinization in Arid cotton fields using Unmanned Aerial Vehicle hyperspectral imagery by Jinming Zhang, Jianli Ding, Jiao Tan, Jinjie Wang, Zihan Zhang, Zeyuan Wang, Xiangyu Ge

“…The results indicate: (1) SG smoothing and FOD technology effectively enhanced the spectral characteristics of cotton field soils and crop canopies. (2) The soil salinity prediction model constructed using 0.7-order FOD combined with the BOSS algorithm yields the best performance, with an R2 of 0.92, RMSE of 0.15 dS m−1, and RPD of 3.54 on the test set. (3) The soil salinity distribution map generated from the optimal model clearly revealed the spatial distribution characteristics of salinity in the 0–10 cm topsoil layer, with significant differences observed under different cover conditions. …”
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Learning-based early detection of post-hepatectomy liver failure using temporal perioperative data: a nationwide multicenter retrospective study in ChinaResearch in context by Kai Wang, Qian Yang, Kang Li, Shanhua Tang, Baoluhe Zhang, Xiangyun Liao, Shunda Du, Wenguang Fu, Zhiwei Li, Huanwei Chen, Haorong Xie, Pengxiang Huang, Jieyuan Li, Qiuting Wang, Haiqing Liu, Zhiwei Huang, Pheng Ann Heng, Xueshuai Wan, Chuanjiang Li, Weixin Si

“…Importantly, our model demonstrates a high capacity for predicting clinically relevant PHLF. The clinicians' prediction assisted by our model was substantially improved over the clinician-only predictions (AUC = 0.778 vs. 0.637, P = 0.009). …”
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A stochastic optimization method for economic microgrid operation based on "source-load operation" mode classification by ZHOU Hang, MA Lihong, LI Zhongzhong, WANG Haisheng, LI Sifan, ZHANG Changjun, FU Linbei

“…A multivariate time series clustering algorithm is applied to quantify correlations between variable dimensions， enabling the classification of microgrid operation modes. …”
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Towards Robust Speech Models: Mitigating Backdoor Attacks via Audio Signal Enhancement and Fine-Pruning Techniques by Heyan Sun, Qi Zhong, Minfeng Qi, Uno Fang, Guoyi Shi, Sanshuai Cui

“…The results show a significant reduction in attack success rate to below 1.5%, while maintaining 99.4% accuracy on clean inputs. …”
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Optimizing Secure and Efficient Data Aggregation in IoMT Using NSGA-II by Maria Zuraiz, Muhammad Javed, Nasim Abbas, Waseem Abbass, Waqas Nawaz, Ashfaq Hussain Farooqi

“…Utilizing the Non-dominated Sorting Genetic Algorithm II (NSGA-II), a diverse Pareto front of solutions is generated, allowing adaptability to different healthcare scenarios. …”
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Enhancing Sustainable Manufacturing in Industry 4.0: A Zero-Defect Approach Leveraging Effective Dynamic Quality Factors by Rouhollah Khakpour, Ahmad Ebrahimi, Seyed Mohammad Seyed Hosseini

“…Moreover, the gathered data from defect detection can be used in two ways: to prevent defect occurrence in the future (detect-prevent) and to design algorithms for predicting when a defect may occur in the future, hence, to prevent defects before they arise (predict-prevent). …”
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