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Line breeding programs of autogamous crops like barley and wheat are characterized by multiple crosses with high variability in cross means and segregation variances. From theory of order statistics, we derived formulas ...

BackgroundValproic acid (VPA) is widely used in pediatric epilepsy, but its blood concentrations vary considerably among pediatric patients with epilepsy. This study aimed to investigate the factors influencing VPA blood...

In response to issues in regional landslide risk evaluation (LRE), such as the over-reliance on administrative unit statistics for vulnerability characterization and the difficulty in capturing the fine-scale spatial het...

This paper proposes an innovative automated multiphysics Microelectromechanical systems (MEMS) co-optimization platform integrating the embedded reduced-order modeling offered by Coventor MEMS+ with MATLAB’s numerical ...

In response to the limitations of traditional planning methods for Autonomous Surface Vehicles (ASVs), which heavily rely on predefined map representations and neglect kinematic feasibility, this paper proposes a novel k...

Abstract This study presents a novel hybrid methodology combining machine learning (ML) with conventional reservoir simulation to optimize waterflooding in the geologically complex Bahariya Formation, Western Desert, Egy...

Abstract Friction Stir Welding (FSW) is a reliable solid-state joining technique for aluminium alloys, where conventional fusion welding often causes porosity, solidification cracking, and excessive heat-affected softeni...

This paper presents an efficient method for solving fully fuzzy linear fractional programming (FFLFP) problems using pentagonal fuzzy numbers (PFNs) and the decomposition method. In real-world decision-making, uncertaint...

Ising machines, including quantum annealing machines, are promising next-generation computers for combinatorial optimization problems. However, due to hardware limitations, most Ising-type hardware can only solve objecti...

Abstract Unmanned aerial vehicles, particularly quadrotors, present significant control challenges due to their nonlinear, underactuated, and coupled dynamics. This paper presents a comprehensive modeling approach for a ...

Abstract In this study, the effects of fuel blend ratio and engine speed on the performance and emissions of a spark-ignition (SI) engine fueled with gasoline–isopropanol blends were experimentally investigated, modele...

A systematic Analytical Quality by Design (AQbD) approach was applied to the development and validation of a UHPLC–MS/MS method for the determination of hallucinogenic phenethylamine-derived novel psychoactive substanc...

Concrete-filled steel tubular (CFST) truss arch bridges are widely used in long-span bridge construction due to their high strength, good stiffness, and excellent durability. However, arch rib joints, as critical load-be...

This research focuses on developing a neural network model in the Python programming language to solve the technological problem of forecasting potato yields with limited agroclimatic data. The developed program is consi...

Abstract We define a function of two real vectors by a certain homogeneous quotient involving power sums, and show that its supremum grows asymptotically linearly w.r.t. the dimension. From this, we deduce a condition un...

Accurately predicting the potential distribution of Setaria palmifolia in China is crucial for assessing its climatic adaptability as a forage resource and for developing sustainable utilization strategies. This study sy...

Background: As athletes develop, their motor patterns evolve from variable to adaptive neuromuscular control strategies, enabling precise execution of complex movements. Traditional linear biomechanical analyses of wrest...

Abstract Synchronous reluctance motors (SynRMs) are increasingly critical in industrial and traction applications due to their high efficiency, magnet-free construction, and thermal robustness. However, fault diagnosis f...

Abstract Effort estimation remains a persistent challenge in agile software development, particularly at the user story level where iterative delivery is emphasized. Inaccurate estimations can result in misallocated reso...

ObjectiveTo evaluate the association between adherence to adjuvant endocrine therapy and overall survival as well as breast cancer–specific survival in patients with hormone receptor–positive breast cancer, to charac...

Abstract Background A sustainable and stability-indicating reversed-phase high-pressure liquid chromatography (RP-HPLC) method has been developed for the simultaneous estimation of chlorthalidone (CHL), Amlodipine (AML),...

Abstract Background To investigate the current status of public education on endocrine and metabolic diseases through WeChat official accounts (WOAs) of academic medical journals in China and to identify the factors that...

Abstract Substantial efforts have been made to modernize and decarbonize the waste collection industry. Smart sensor-based waste collection (SWC) systems have been developed to optimize collection routes based on the act...

ObjectiveThe aim of the study was to examine the relationships between dietary intake of amino acids and the risk of hypertension and to find some important amino acids as the targets of intervention in Chinese children ...