Near‐Isotropic, Extreme‐Stiffness, Continuous 3D Mechanical Metamaterial Sequences Using Implicit Neural Representation by Yunkai Zhao, Lili Wang, Xiaoya Zhai, Jiacheng Han, Winston Wai Shing Ma, Junhao Ding, Yonggang Gu, Xiao‐Ming Fu

“…This study proposes three near‐isotropic, extreme‐stiffness, and continuous 3D mechanical metamaterial sequences by combining topology optimization and data‐driven design. Through innovative structural design, the sequences achieve over 98% of the Hashin–Shtrikman upper bounds in the most unfavorable direction. …”
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THE USE OF ARTIFICIAL INTELLIGENCE IN THE THERAPEUTIC MANAGEMENT OF PAPILLARY THYROID MICROCARCINOMA: A RANDOMIZED CONTROLLED TRIAL PROTOCOL by Ramona Elena Teiu, Tudor Florin Ursuleanu, Hlescu Cristian Stefan, Roxana Grigorovici, Andreea Roxana Luca, Maria Paula Comanescu, Alina Ionela Calin, Alexandru Grigorovici

“…I will validate this method of diagnosis and prognosis of papillary thyroid cancer, optimized by the artificial intelligence algorithm, by conducting a randomized, controlled clinical trial over a period of 12 months. …”
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Parameter Estimation for the One-Term (Multiterm) Fractional-Order SEIAR Models of Norovirus Outbreak by Tianzeng Li, Yu Wang, Weiqiu Pan

“…Then, we make use of the modified hybrid Nelder-Mead simplex search and particle swarm optimization (MH-NMSS-PSO) algorithm to obtain the fractional orders and parameters for these fractional-order SEIAR models of Norovirus outbreak. …”
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Three-Dimensional Physical Similarity Simulation of the Deformation and Failure of a Gas Extraction Surface Well in a Mining Area by Junhui Fu, Haitao Sun, Guangcai Wen, Rifu Li

“…The test results provide important information on the design optimization of surface wells and high-risk area protection in mining areas.…”
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On the reduction of imaging time-points for dosimetry in radionuclide therapy by Johan Gustafsson, Jan Taprogge

“…Furthermore, the analytical expressions predicted correctly the optimal reduced imaging schedule in 9 of 12 pairwise comparisons between schedules for patients. …”
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Spreading Social Influence with both Positive and Negative Opinions in Online Networks by Jing (Selena) He, Meng Han, Shouling Ji, Tianyu Du, Zhao Li

“…Motivated by the goal of alleviating social problems, such as drinking, smoking, and gambling, and influence-spreading problems, such as promoting new products, we consider positive and negative influences, and propose a new optimization problem called the Minimum-sized Positive Influential Node Set (MPINS) selection problem to identify the minimum set of influential nodes such that every node in the network can be positively influenced by these selected nodes with no less than a threshold of θ. …”
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Comparative Analysis of Energy Storage Technologies for Microgrids by Mohamed Haikel Chehab, Chokri Ben Salah, Ruben Zieba Falama, Mehdi Tlija, Abdelhamid Rabhi

“…One of the biggest challenges in MGs is the optimal choice of the BESS that can lead to better performance of the MG, which will be more flexible, efficient, and effective than traditional power systems. …”
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Driver Route Planning Method Based on Accident Risk Cost Prediction by Xiaoleng Liao, Tong Zhou, Xu Wang, Rongjian Dai, Xuehui Chen, Xiangmin Zhu

“…After comparison, the optimal path and two alternative paths are obtained. …”
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Dynamic Analysis of the Scraper Conveyor under Abnormal Operating Conditions Based on the Vibration and Speed Characteristics by Shoubo Jiang, Weijian Ren, Qinghua Mao, Qingliang Zeng, Pengfei Yu, Kuidong Gao, Liang Wang

“…This study provides a basis and reference for the further optimization design of the chain drive system and detection of the abnormal working conditions.…”
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De-offshorization as a Factor of Development of the National Economy by G. S. Panova, I. B. Turuev, I. Z. Yarygina

“…The analysis of the objectives and characteristics of the formation of offshore zones in the world and it is concluded that in general the offshore zone, favorable tax to optimize international economic cooperation, including trade and entrepreneurship. …”
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Recent advances in immunotherapy targeting CETP proteins for atherosclerosis prevention by Wenhui Hu, Han Feng, Ying Liu, Xiaoshuang Xu, Ping Zhou, Zhonghua Sun, Xinyu Tao, Jiahui Yang, Jun Wu, Chen Qu, Zhengxia Liu

“…This paper provides a comprehensive overview of the structure of CETP, the mechanisms of lipid transfer and the progress of immunotherapy in the last decade, which provides possible ideas for future development of novel drugs and optimization of immunization strategies.…”
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A Comparative Review: Biological Safety and Sustainability of Metal Nanomaterials Without and with Machine Learning Assistance by Na Xiao, Yonghui Li, Peiyan Sun, Peihua Zhu, Hongyan Wang, Yin Wu, Mingyu Bai, Ansheng Li, Wuyi Ming

“…Using a dual-perspective analysis approach, it highlights the unique advantages of machine learning in data processing, predictive modeling, and optimization. At the same time, it underscores the importance of traditional methods, particularly their ability to offer greater interpretability and more intuitive results in specific contexts. …”
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Microencapsulation of Essential Oils by Spray-Drying and Influencing Factors by Thi Thu Trang Nguyen, Thi Van Anh Le, Nhu Ngoc Dang, Dan Chi Nguyen, Phu Thuong Nhan Nguyen, Thanh Truc Tran, Quang Vinh Nguyen, Long Giang Bach, Dung Thuy Nguyen Pham

“…Microencapsulation via the spray-drying method is one of the promising techniques to overcome these challenges, thanks to the presence of wall materials that properly protect the core EOs from oxidation and evaporation. By optimization of key factors related to the infeed emulsion properties and spray-drying process, the encapsulation efficiency and retention of encapsulated EOs could be significantly improved, thus allowing a wide range of EO applications. …”
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Zero-day exploits detection with adaptive WavePCA-Autoencoder (AWPA) adaptive hybrid exploit detection network (AHEDNet) by Ahmed A. Mohamed, Abdullah Al-Saleh, Sunil Kumar Sharma, Ghanshyam G. Tejani

“…Additionally, a novel “Meta-Attention Transformer Autoencoder (MATA)” for enhancing feature extraction which address the subtlety issue, and improves the model’s ability and flexibility to detect new security threats, and a novel “Genetic Mongoose-Chameleon Optimization (GMCO)” was introduced for effective feature selection in the case of addressing the efficiency challenges. …”
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Shedding Light on the Prognostic and Predictive Value of Circulating Tumor DNA for Management of Patients with Early-Stage Colon Cancer by Rami Yanes MD, Turcin Saridogan MD, PhD, Vikram Gorantla MD, Abigail Overacre PhD, Ronan W. Hsieh MD, James Celebrezze MD, Tara Magge MD, Meghana Singhi MD, Anwaar Saeed MD, Amer H. Zureikat MD, Arvind N. Dasari MD, Ibrahim Halil Sahin MD

“…The benefit of adjuvant chemotherapy for stage II and III colon cancer is approximately 5% and 15%, indicating the need for optimization for risk stratification and patient selection. …”
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Evaluation and Prediction of Agricultural Water Use Efficiency in the Jianghan Plain Based on the Tent-SSA-BPNN Model by Tianshu Shao, Xiangdong Xu, Yuelong Su

“…These results provide actionable insights for optimizing water resource allocation, particularly in water-scarce regions, and guide policymakers in enhancing agricultural water management strategies, supporting sustainable agricultural development.…”
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About simulation environment for modeling the Internet of Things components and applications using visual flow-based programming tools and cloud services by A. A. Andrushevich, I. S. Vojteshenko, O. Ju. Emelianova

“…This example has been implemented in the part of the Smart Home application model responsible for the energy efficiency optimization in residential buildings enclosed in a simulation environment based on an integrated software package consisting of the Node-RED visual tool for flow-based programming and the Yandex Cloud / Yandex IoT Core cloud service.Conclusion. …”
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HPPQ: A Parallel Package Queries Processing Approach for Large-Scale Data by Meihui Shi, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu

“…To solve this problem, a novel optimization method of package queries (HPPQ) is proposed in this paper. …”
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13 µm cutoff InAs/GaSb type-II superlattice nBn detectors with high quantum efficiency grown by MOCVD by Richard Brown, Chen Liu, George Seager, Francisco Alvarado, Ka Ming Wong, Adam P. Craig, Richard Beanland, Andrew R. J. Marshall, J. Iwan Davies, Qiang Li

“…In this work, we report the growth and fabrication optimization of a long wavelength InAs/GaSb type-II superlattice (T2SL) nBn detector grown by metal–organic chemical vapor deposition. …”
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A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier by Laimin Du, Leibin Ni, Xiong Liu, Guanqi Peng, Kai Li, Wei Mao, Hao Yu

“…In this paper, we propose a low-power DNN accelerator with novel signed approximate multiplier based on probability-optimized compressor and error compensation. The probability-optimized compressor is customized for partial product matrix (PPM) of signed operands, which gets the optimal logic circuit after probabilistic analysis and optimization. …”
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