Novel Phytosomal Formulation of Emblica officinalis Extracts with Its In Vivo Nootropic Potential in Rats: Optimization and Development by Box-Behnken Design by Varsha Mane, Suresh Killedar, Harinath More, Sameer Nadaf, Sachin Salunkhe, Harshal Tare

“…In vitro and in vivo characterizations of the optimized formulation were performed. Results. Optimized EOP formulation (89.90 ± 0.24 μg/ml) exhibited improved aqueous solubility than plain EOE (11.85 ± 0.25 μg/ml). …”
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Optimizing Assisted Reproductive Outcomes using a Sperm Vitrification Device in severe Oligozoospermia: A Breakthrough in Male Infertility Treatment by Tejaswini Wadhe, Akash More, Namrata Choudhary, Nandkishor Naik, Aru Chaudhary, Puja Dhamija

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Telehealth Physical Therapy: More Than an Alternative to In Person Care of the Young Athlete by Joseph T. Molony Jr.

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More than a feeling: emotional regulation strategies for simulation-based education by Vicki R. LeBlanc, Victoria Brazil, Glenn D. Posner

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Advantages of more stressful cold test procedure for evaluation of maize seed vigour by Milivojević Marija, Branković-Radojčić Dragana, Vukadinović Radmila, Poštić Dobrivoj, Popović Aleksandar, Petrović Tanja

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How to Learn More? Exploring Kolmogorov–Arnold Networks for Hyperspectral Image Classification by Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Bing Lu, Pedram Ghamisi

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Optimizing Constrained Engineering Optimization Problems Using Improved Mountain Gazelle Optimizer by Vu Hong Son Pham, Nghiep Trinh Nguyen Dang, Van Nam Nguyen

“…These enhancements underscore the significant potential of iMGO in real-world applications across aerospace engineering, structural design optimization, energy system planning, and other fields, thereby contributing to more efficient and sustainable engineering solutions.…”
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Rising compound hot-dry extremes engendering more inequality in human exposure risks by Junhong Guo, Feng Wang, Yizhuo Wen, Xiaoxuan Wang, Zhenda Hao, Heran Zheng, Yurui Fan, Chunming Shen

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Microalgae: Promising solutions paving the way toward a greener and more sustainable future by Yunhan Qin, Tingfu Li, Changliang Nie, Xueyun Geng, Xiaomin Sun

“…Microalgae represent a promising solution for achieving greener and more sustainable applications, owing to their rapid growth rates, high photosynthetic efficiency, and capacity to produce valuable compounds such as lipids. …”
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Sex differences in ketogenic diet: are men more likely than women to lose weight? by Yingying Jiao, Xiuru Chen, Lu Liu, Yantong Lu, Minghuang Gao, Qi Wang, Xiaoling Chi, Yousheng Mo

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RISK MANAGEMENT, A MORE EFFICIENT ABSORPTION METHOD FOR THE EUROPEAN STRUCTURAL AND INVESTMENT FUNDS by Robert-Anton V. ION, Dorina Nicoleta MOCUTA

“…Against all expectations, risk management should not be perceived as a complex process that complicates or makes it more difficult for the teams involved in the investment project to deliver the expected results, but instead it should be seen as one of the most simple and natural methods of making the process of project implementation more effective and efficient. …”
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Error fields: personalized robotic movement training that augments one’s more likely mistakes by Naveed Reza Aghamohammadi, Moria Fisher Bittmann, Verena Klamroth-Marganska, Robert Riener, Felix C. Huang, James L. Patton

“…EF training reduced error 264% more than controls who practiced without error fields, but subjects learned more slowly than our previous error magnification technique. …”
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Noise Reduction with Recursive Filtering for More Accurate Parameter Identification of Electrochemical Sources and Interfaces by Mitar Simić, Milan Medić, Milan Radovanović, Vladimir Risojević, Patricio Bulić

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Bi-Objective Optimization for Transportation: Generating Near-Optimal Subsets of Pareto Optimal Solutions by Hongyu Zhang, Qingfang Ruan, Yong Jin, Shuaian Wang

“…More importantly, the near-optimality of the Pareto optimal solution subset obtained by these methods is rigorously analyzed and proved from a mathematical point of view. …”
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Hybrid Optimization Algorithm of Particle Swarm Optimization and Cuckoo Search for Preventive Maintenance Period Optimization by Jianwen Guo, Zhenzhong Sun, Hong Tang, Xuejun Jia, Song Wang, Xiaohui Yan, Guoliang Ye, Guohong Wu

“…The test functions show that the proposed algorithm exhibits more outstanding performance than particle swarm optimization and cuckoo search. …”
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Application of Nontraditional Optimization Techniques for Airfoil Shape Optimization by R. Mukesh, K. Lingadurai, U. Selvakumar

“…Nowadays, various optimization methods, such as genetic algorithm (GA), simulated annealing (SA), and particle swarm optimization (PSO), are more widely employed to solve the aerodynamic shape optimization problems. …”
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More Accurate Constraints for Self-Supervised Learning in Remote Sensing Images-Based Object Detection by Shangdong Zheng, Zebin Wu, Yang Xu, Qian Liu, Zhihui Wei

“…Moreover, we construct a proposal generation module, which further filters the unreliable bounding boxes, predicted by RPN, to supplement high-quality constraints into the GT and SS generated candidate boxes to supervise the optimization of WSL branch. By constructing an interactive learning paradigm of WSL and FSL, the former has more accurate constraints to learn an efficient auxiliary task, while the latter enjoys a richer representation form of data provided by WSL, which is undoubtedly a win–win process. …”
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An Improved Central Force Optimization Algorithm for Multimodal Optimization by Jie Liu, Yu-ping Wang

“…This paper proposes the hybrid CSM-CFO algorithm based on the simplex method (SM), clustering technique, and central force optimization (CFO) for unconstrained optimization. CSM-CFO is still a deterministic swarm intelligent algorithm, such that the complex statistical analysis of the numerical results can be omitted, and the convergence intends to produce faster and more accurate by clustering technique and good points set. …”
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An Adaptive Particle Swarm Optimization Algorithm for Unconstrained Optimization by Feng Qian, Mohammad Reza Mahmoudi, Hamïd Parvïn, Kim-Hung Pho, Bui Anh Tuan

“…Conventional optimization methods are not efficient enough to solve many of the naturally complicated optimization problems. …”
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A New Paradigm in the Systemic Treatment of Advanced Prostate Cancer: the Earlier the Better or the More the Better by Tomislav Omrčen, Jure Murgić

“…Finally, further elucidation of the biology of different groups of mHSPC to identify different clinical behavior may be helpful in deciding the optimal treatment of these patients. Analysis of transcriptomic biomarkers of patient samples from large, practice-changing mHSPC studies could optimize patient selection for different treatment strategies and help physicians make decisions in daily practice.…”
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