Simulation study of top coal caving and conveying process based on smoothed particle hydrodynamics by LIU Bo, ZHANG Qiang, LIU Yang, DONG Xiangwei

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Transvaginal natural orifice specimen extraction surgery for left-sided colorectal resection: A single-centre cohort study by Ruben Gregory Xavier, Tao-Wei Ke, William Tzu-Liang Chen

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Modification of an automated precision farming robot for high temporal resolution measurement of leaf angle dynamics using stereo vision by Frederik Hennecke, Jonas Bömer, René H.J. Heim

“…We demonstrate the system's accuracy and reliability, with minimal deviation from reference values. The method can be utilized by other researchers to gather data on leaf angles and other structural plant traits at regular intervals to access the dynamics of leaves, plants, and canopies. …”
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Monitoring air quality index with EWMA and individual charts using XGBoost and SVR residuals by Zulfani Alfasanah, M. Zaim Husnun Niam, Sri Wardiani, Muhammad Ahsan, Muhammad Hisyam Lee

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Optimal sizing, techno-economic, and environmental assessment of hybrid renewable energy systems by Mohammad Reza Gharib, Amir Mohammadbeigi

“…Simulation results were derived via the Simulated Annealing meta-heuristic strategy, which demonstrated a lower standard deviation compared to the Imperialist Competitive Algorithm and Artificial Bee Colony methods. …”
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Advancing Multi-UAV Inspection Dispatch Based on Bilevel Optimization and GA-NSGA-II by Yujing Liu, Chunmei Chen, Yu Sun, Shaojie Miao

“…Against task-adaptive clustering optimization, it decreased the standard deviation by 18.25% to 94.93% and the longest flight distance by 15.97% to 37.33%. …”
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Optimizing wireless sensor network topology with node load consideration by Ruizhi Chen

“…Methods: To improve the overall performance and efficiency of wireless sensor networks, a new method for optimizing the wireless sensor network topology based on K-means clustering and firefly algorithms is proposed. …”
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Simulation and analysis of non-navigational errors in robot-assisted pedicle Kirschner wire placement surgery by Yongkang Yang, Yishi Jia, Chang Liu, Liang Li, Boyao Wang

“…Results A total of 933 K-wire placements were performed in this study. The average deviation under Habit 2 conditions was 0.51 mm, compared to 0.13 mm under Habit 1 conditions; the average deviation was 0.36 mm when the guide-to-bone surface distance was 5 cm, and 0.28 mm when the distance was 1 cm; the average deviation was 0.36 mm under the 600 mm robotic arm condition, and 0.24 mm under the 500 mm robotic arm condition; the average deviation was 0.37 mm in the Plaster-Fixed Vertebra Group, and 0.85 mm in the Silicone-Fixed Vertebra Group. …”
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AI-Driven Blade Alignment for Aerial Vehicles’ Rotary Systems Using the A* Algorithm and Statistical Heuristics by Samarth Godara, Madhur Behl, Gaurab Dutta, Rajender Parsad, Sudeep Marwaha

“…The algorithm seeks to minimize the standard deviation of blade distances from the ground, captured using high-speed distance sensors. …”
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Parameterization of user functions in digital signal processing for obtaining angular superresolution by A. A. Shchukin, A. E. Pavlov

“…The search for the optimal solution is carried out by minimizing the standard deviation.Results. A description of a mathematical model for a goniometric system is presented. …”
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Exposure of Skin Homografts from Related Living Donors to Radiotherapy and Its Effects on Acute Rejection and Wound Healing in Children with Deep Burns: A Randomized Controlled Tri... by Mohammed Ahmed Megahed, Sherief Mohamed El Kashty, Ahmed Tharwat Nassar, Mohamed Aboulfetouh, Mohammed Saad AboShaban

“…The purpose of this study was to assess the effect of radiotherapy on minimizing acute rejection and enhancing wound healing in children with deep burns. …”
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Continuous glucose data construction and risk assessment application of diabetic retinopathy complications for patients with type 2 diabetes mellitus by Yaguang Zhang, Liansheng Liu, Hong Qiao

“…Managing diabetes mellitus (DM) includes achieving acceptable blood glucose levels and minimizing the risk of complications from DM. The appropriate glucose sensing method is continuous glucose monitoring (CGM). …”
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Accuracy of Deep brain stimulation (DBS) lead Placement: A Comparative study of bilateral and Four-Lead implantation Techniques by Patrick Fricke, Cordula Matthies, Vera Nickl, Maria Breun, Martin M Reich, Robert C Nickl

“…It highlights the importance of minimizing brain shifts during surgery to improve lead placement accuracy. …”
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Adaptive Clinical Trials and Sample Size Determination in the Presence of Measurement Error and Heterogeneity by Hassan Farooq, Sajid Ali, Ismail Shah, Ibrahim A. Nafisah, Mohammed M. A. Almazah

“…The resampling-based approaches, particularly R1 and R2, offer improved sample size recalculation over conventional methods. The R1 approach excels in minimizing recalculated sample size variability, while the R2 approach presents a refined alternative.…”
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Evaluating Sensitivity of the Ranking of Forest Fuel Treatments to Manager’s Risk Attitudes and the Importance of Treatment Objectives, Montana, USA by Tony Prato, Travis Paveglio

“…The case study involves three (federal, state, and private) forested areas in Flathead County, Montana, USA, three FTSs (i.e., Community Wildfire Protection Plan (CWPP) Priority; CWPP & Wildland-Urban Interface Priority; and No Priority), three treatment objectives (i.e., minimizing expected residential monetary losses from wildfire, minimizing expected deviation of forest ecological conditions from their historic range and variability, and maximizing expected net returns from timber harvesting associated with fuel treatment), two risk attitudes (i.e., almost risk neutral and highly risk averse), and 35 weight scenarios for treatment objectives. …”
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Optimal Integration of Renewable Energy–Based Distributed Generation Units in Radial Distribution System by Le Chi Kien, Truong Van Hien, Hoang Do Ngoc Tram, Thai Dinh Pham

“…In this study, the main purpose is to address optimal nonlinear constrained problems with three targets in the multiobjective function (MOF) for minimizing (1) total power loss, (2) voltage deviation, and (3) the cost of purchasing energy from the main grid considering the uncertainties of solar irradiance and wind speed in the actual region in Binh Thuan Province, Vietnam. …”
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Spectral Distortion in Lossy Compression of Hyperspectral Data by Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Cinzia Lastri, Massimo Selva

“…The absolute angular error, or spectral angle mapper (SAM), is used to quantify spectral distortion, while radiometric distortions are measured by maximum absolute deviation (MAD) for near-lossless methods, for example, differential pulse code modulation (DPCM), or mean-squared error (MSE) for lossy methods, for example, spectral decorrelation followed by JPEG 2000. …”
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A methodological framework for deriving the German food-based dietary guidelines 2024: Food groups, nutrient goals, and objective functions. by Anne Carolin Schäfer, Heiner Boeing, Rozenn Gazan, Johanna Conrad, Kurt Gedrich, Christina Breidenassel, Hans Hauner, Anja Kroke, Jakob Linseisen, Stefan Lorkowski, Ute Nöthlings, Margrit Richter, Lukas Schwingshackl, Florent Vieux, Bernhard Watzl

“…<h4>Objectives</h4>The objectives were to develop a framework for (i) the formulation of decision variables based on a hierarchical food classification system; (ii) the mathematical form of the objective function; and (iii) approaches to incorporate nutrient goals.<h4>Methods</h4>To answer objective (i), food groups from FoodEx2 levels 3-7 were applied as decision variables in a model using acceptability constraints (5th and 95th percentile for food intakes of German adults (n = 10,419)) and minimizing the deviation from the average observed dietary intakes. …”
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Pattern Synthesis for Dual-Polarized Conformal Arrays via Iterative Convex Optimization by Chao Liu, Chuan Li, Bo Yang

“…And an auxiliary phase function is introduced to correct this error alternatively. Due to the deviation between auxiliary phase and real phase of pattern function, a method minimizing the peak of the synthesis error over observation angles is effectively applied to further improve the performance of the method. …”
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Distributed data-driven iterative learning control for multi-agent systems with unknown input-output coupled parameters by Duhui Chang, Yan Geng

“…Second, the case of measurement noise in the MASs is considered, where the maximum allowable control deviation is incorporated into the learning mechanism for identification of the IOCPs, thereby minimizing adverse effects of the noise on the learning scheme's performance and bolstering robustness. …”
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