Optimization of acute postoperative pain management in trauma and orthopedic patients by М.А. Шостак, О.Е. Доморацький

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Optimization of treatment for patients with combined unstable pelvic and thoracic injuries by О.А. Бур’янов, В.П. Кваша, В.М. Дьомін, Д.В. Мясніков, В.М. Лянскорунський

“…The purpose was to improve treatment outcomes in patients with combined injuries of the pelvis and chest by optimizing treatment algorithm. Materials and methods. …”
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Studying the Possibility of Optimizing the Statin Therapy Algorithm in Outpatient Practice by D. V. Nebieridze, N. M. Akhmedzhanov, S. A. Davitashvili, A. S. Lishuta, A. S. Safaryan

“…The high prevalence of lipid metabolism disorders in the Russian population and their contribution to cardiovascular risk require an optimization of their pharmacotherapy in clinical practice.Aim. …”
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Optimizing in vitro maturation of oocytes with nitric oxide-loaded microbubbles by Lin Qiu, Lin Qiu, Qi Xu, Yi Lin, Songxue Wang, Huina Zhang, Yi Liu, Junzhao Zhao, Yingzheng Zhao, Haitao Xi, Haitao Xi

“…This study aimed to develop a stabilized NO delivery system to enhance oocyte maturation and quality for potential applications in assisted reproductive technologies (ART).MethodsLipid-based microbubbles (NO-MBs) were constructed via lyophilization to encapsulate and stabilize therapeutic NO gas. …”
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A Multi-Parameter Calibration Method Based on the Newton Method and the Genetic Algorithm in Airborne Array Synthetic Aperture Radar by Dawei Wang, Zhenhua Li, Fubo Zhang, Longyong Chen

“…The genetic algorithm is utilized to locate a sub-optimal solution in proximity to the optimal one, subsequently converging swiftly to the optimal solution via the Newton method, which incorporates second-order information. …”
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Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…Traditional optimization models, such as Markowitz's Mean-Variance model, aim to maximize expected returns while minimizing risk. …”
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Multi-objective optimization of gold price forecasting using the pareto alpha-cut technique by Pullooru Bhavana

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Grey Wolf Optimization- and Particle Swarm Optimization-Based PD/I Controllers and DC/DC Buck Converters Designed for PEM Fuel Cell-Powered Quadrotor by Habibe Gursoy Demir

“…This paper presents a comparison of the performances of metaheuristic methods such as Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) to design controllers and DC/DC buck converters for optimizing the energy consumption and path following error of a PEM fuel cell-powered quadrotor system. …”
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Optimizing colorectal polyp detection and localization: Impact of RGB color adjustment on CNN performance by Jirakorn Jamrasnarodom, Pharuj Rajborirug, Pises Pisespongsa, Kitsuchart Pasupa

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Optimizing and Testing an Individualized and Adaptive Physical Activity Digital Health Intervention: Protocol for a Control Optimization Trial Embedded Within a Randomized Controll... by Meelim Kim, Shadia Mansour-Assi, Mohamed El Mistiri, Junghwan Park, Sarasij Banerjee, Owais Khan, Steven De La Torre, Michael Higgins, Job Godino, Kevin Patrick, Camille Nebeker, Sonia Jain, Predrag Klasnja, Daniel E Rivera, Eric Hekler

“… BackgroundWhile effective physical activity (PA) interventions exist, interventions often work only for some individuals or only for a limited time. …”
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Space Trajectory Planning with a General Reinforcement-Learning Algorithm by Andrea Forestieri, Lorenzo Casalino

“…Space trajectory planning is a complex combinatorial problem that requires selecting discrete sequences of celestial bodies while simultaneously optimizing continuous transfer parameters. …”
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Parametric-modeling-based multi-objective thermoelastic optimization of rudder structures by Shi Guanghui, Bao Yuhao, Wu Wenhua, Guo Guiqiang, Lin Ye, Zhang Xiaopeng, Tao Ran

“…The proposed optimization method reduces the weight of the rudder structure by 21.2% while meeting the design indicators under service conditions. …”
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Influence of Cooking and Drying Methods on Quality Characteristics of Different Cereals Bulgur by Asmaa M. Marie, Seham Y. Gebreil

“…Interestingly, the sensory properties of the produced bulgur from various grains were not significantly affected by the cooking or drying methods. The optimal cooking time varied depending on the grain and processing method. …”
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Current methods in the diagnosis of invasive meningococcal disease by Ergin Ciftci, Duygu Ocal, Ayper Somer, Hasan Tezer, Dilek Yilmaz, Sirac Bozkurt, Oldac Uras Dursun, Şeyhmus Merter, Ener Cagri Dinleyici

“…Clinical findings, microscopic findings, Gram stains, and cultures are traditional and widely used diagnostic methods for the definition of IMD, despite some disadvantages. …”
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A New Hybrid Grasshopper Optimization - Backpropagation for Feedforward Neural Network Training by Samer Alsammarraie, Nazar K. Hussein

“… The Grasshopper optimization algorithm showed a rapid converge in the initial phases of the global search, however while being around the global optimum, the searching process became so slow. …”
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LIGHTWEIGHT DESIGN OF A COMMERCIAL VEHICLE FRONT AXLE BASED ON SECONDARY OPTIMIZATION by MA ChaoFan, ZHAO LiHui, YANG ZhenYi, FENG JinZhi, ZHENG SongLin

“…A lightweight design method based on the idea of secondary optimization was proposed for a certain commercial vehicle front axle.The finite element model of the front axle was established and simulated.Combined with the fatigue endurance test,the true load of the front axle was investigated to verify the accuracy of the finite element model.The static tensile load and bending fatigue test of the real material of the front axle are taken as the light weight reference for obtaining the mechanical performance index of the front axle material after heat treatment.The overall model of the front axle is optimized and secondary optimization based on the mechanical model to ensure that the structure of the front axle meets the requirements of strength,stiffness and service life while achieving a lightweight design.The final total mass reduced 5.7 kg,to achieve the purpose of lightweight design.…”
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GNSS-Based Monitoring Methods for Mining Headframes by Xu Yang, Zhe Zhou, Yanzhao Yang, Xinxin Yao, Chao Liu, Lei Liu, Shicheng Xie

“…This study introduces an innovative GNSS-based monitoring system designed to evaluate deformation in mining headframes, effectively addressing the limitations of traditional methods, such as inadequate real-time capabilities and complex data processing requirements. …”
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Integrated wellbore-surface pressure control production optimization for shale gas wells by Xingyu Zhou, Liming Zhang, Ji Qi, Yanxing Wang, Kai Zhang, Ruijia Zhang, Yaqi Sun

“…Traditional pipeline optimization methods used in conventional gas well blocks fail to address the unique needs of shale gas wells, such as the precise planning of airflow paths, pressure distribution, and compression. …”
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Airway Segmentation and Centerline Extraction from Thoracic CT - Comparison of a New Method to State of the Art Commercialized Methods. by Pall Jens Reynisson, Marta Scali, Erik Smistad, Erlend Fagertun Hofstad, Håkon Olav Leira, Frank Lindseth, Toril Anita Nagelhus Hernes, Tore Amundsen, Hanne Sorger, Thomas Langø

“…<h4>Results</h4>The TSF method was the most automatic, while the Mimics Pulmonology Module (MPM) and the Mimics Basic Module (MBM) resulted in the highest number of branches. …”
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Rethinking Metaheuristics: Unveiling the Myth of “Novelty” in Metaheuristic Algorithms by Chia-Hung Wang, Kun Hu, Xiaojing Wu, Yufeng Ou

“…In recent decades, the rapid development of metaheuristic algorithms has outpaced theoretical understanding, with experimental evaluations often overshadowing rigorous analysis. While nature-inspired optimization methods show promise for various applications, their effectiveness is often limited by metaphor-driven design, structural biases, and a lack of sufficient theoretical foundation. …”
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