Jun Myeong Kim, Jang Young Jeong, Shin Jin Kang, Beomjoo Seo^*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-16, 2026, DOI:10.32604/cmc.2025.071084 - 09 December 2025

Abstract Game Quality Assurance (QA) currently relies heavily on manual testing, a process that is both costly and time-consuming. Traditional script- and log-based automation tools are limited in their ability to detect unpredictable visual bugs, especially those that are context-dependent or graphical in nature. As a result, many issues go unnoticed during manual QA, which reduces overall game quality, degrades the user experience, and creates inefficiencies throughout the development cycle. This study proposes two approaches to address these challenges. The first leverages a Large Language Model (LLM) to directly analyze gameplay videos, detect visual bugs, and… More >

Weiping Zeng¹, Xiangping Bryce Zhai^1,2,3,*, Cheng Sun¹, Liusha Jiang^1,2, Yicong Du³, Xuefeng Yan^1,3

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-15, 2026, DOI:10.32604/cmc.2025.070777 - 09 December 2025

Abstract With the expanding applications of unmanned aerial vehicles (UAVs), precise flight evaluation has emerged as a critical enabler for efficient path planning, directly impacting operational performance and safety. Traditional path planning algorithms typically combine Dubins curves with local optimization to minimize trajectory length under 3D spatial constraints. However, these methods often overlook the correlation between pilot control quality and UAV flight dynamics, limiting their adaptability in complex scenarios. In this paper, we propose an intelligent flight evaluation model specifically designed to enhance multi-waypoint trajectory optimization algorithms. Our model leverages a decision tree to integrate attitude More >

Arvind Mukundan^1,2, Riya Karmakar¹, Devansh Gupta³, Hsiang-Chen Wang^1,4,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-23, 2026, DOI:10.32604/cmc.2025.069646 - 10 November 2025

Abstract Modern manufacturing processes have become more reliant on automation because of the accelerated transition from Industry 3.0 to Industry 4.0. Manual inspection of products on assembly lines remains inefficient, prone to errors and lacks consistency, emphasizing the need for a reliable and automated inspection system. Leveraging both object detection and image segmentation approaches, this research proposes a vision-based solution for the detection of various kinds of tools in the toolkit using deep learning (DL) models. Two Intel RealSense D455f depth cameras were arranged in a top down configuration to capture both RGB and depth images… More >

Wufan Jia¹, Seung Hee Yoo², Hye Eun Lee^3,*

International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1897-1906, 2025, DOI:10.32604/ijmhp.2025.071572 - 31 December 2025

Abstract Background: With growing concerns about the abuse of prescription and over-the-counter (OTC) medications, such as medications for attention-deficit/hyperactivity disorder (ADHD), diet pills, and sleep aids, among adolescents in South Korea, this study aimed to investigated how these substances affect key aspects of adolescent well-being, specifically school satisfaction, body image, and sleep quality, and their association with mental health outcomes. Methods: A two-wave longitudinal survey was conducted with Korean female high school students (Wave 1: n = 494; Wave 2: n = 189). Linear regression analyses were used to evaluate the effects of ADHD medications, diet pills, and… More >

Guofeng Han, Chenxi Luo, Xin Liu, Yuanyuan Li, Yuling Cheng, Shuai Huang, Dan Huang^*

Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 1981-1999, 2025, DOI:10.32604/fhmt.2025.074593 - 31 December 2025

Abstract Bananas are highly perishable after harvest, and processing them into dried products is a crucial approach to reducing losses and adding their economic values. To address the inefficiency and prolonged duration of traditional hot air drying (HAD) and the quality inconsistency associated with single infrared drying (IRD), this study proposed a novel hot air-infrared combined drying (HAD-IRD) strategy. The effects of HAD, IRD, and HAD-IRD on the drying kinetics, color, rehydration capacity, moisture diffusion mechanism, and sensory quality of banana slices were systematically investigated. The parameters of the combined drying process were optimized using an L₉(3³)… More >

Yang Liu¹, Biao Chen¹, Xin Liu², Chenxi Luo², Shihui Xiao^2,*

Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 2127-2146, 2025, DOI:10.32604/fhmt.2025.070973 - 31 December 2025

Abstract This study evaluated corn kernel drying performance and quality changes using hot air drying (HAD) and infrared drying (ID) across temperatures ranging from 55°C to 80°C. Optimal drying parameters were determined by using the entropy weight method, with drying time, specific energy consumption, damage rate, fatty acids, starch, polyphenols, and flavonoids as indicators. Results demonstrated that ID significantly outperformed HAD, achieving drying times up to 20% shorter and reducing specific energy consumption and kernel damage by up to 79.3% and 66.7%, respectively, while also better preserving quality attributes. Both methods exhibited drying profiles characterized by More >

Igor Musikhin^*

Revue Internationale de Géomatique, Vol.34, pp. 939-957, 2025, DOI:10.32604/rig.2025.071168 - 09 December 2025

Abstract Urban environmental quality research is crucial, as cities become competitive centers concentrating human talent, industrial activity, and financial resources, contributing significantly to national economies. Municipal and government priorities include retaining residents, preventing skilled worker outflow, and meeting the evolving needs of urban populations. The study presents the development and application of a scenario-based spatial analysis tool for assessing urban environmental quality at a detailed spatial scale within the city of Novosibirsk. Using advanced geoinformatics, GIS techniques, and an expert knowledge base, the tool integrates diverse thematic data layers with user-defined scenarios to compute and visualize… More >

Jie Jin¹, Tianci Wang¹, Yaning Wang¹, Jingqi Yao², Jinxiu Song^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3611-3632, 2025, DOI:10.32604/phyton.2025.070680 - 01 December 2025

Abstract In plant factory with artificial lighting, precise regulation of environmental and nutritional factors is essential to optimize both growth and quality of leafy vegetables. This study systematically evaluated the combined effects of light intensity (150, 200, 250 μmol/(m²·s)) and calcium supply in the nutrient solution (0.5, 1.0, 1.5 mmol/L) on lettuce morphology, photosynthesis, quality indices, and tipburn incidence. Elevating light from 150 to 200 μmol/(m²·s) significantly enhanced leaf number, area, photosynthetic rate, biomass, and foliar calcium. These gains plateaued at 250 μmol/(m²·s), where tipburn incidence surged to 76.5%. Photosynthetic pigments progressively rose with light intensity. Calcium supply… More >

Min Zeng¹, Fan Yang¹, Jie Huang², Zhongkai Liao², Sheng Liu³, Xu Wang^1,*

Congenital Heart Disease, Vol.20, No.5, pp. 581-589, 2025, DOI:10.32604/chd.2025.070100 - 30 November 2025

Abstract Background: Psychosocial functioning and quality of life (QoL) are strongly associated with outcomes in pediatric heart transplant recipients. The data in pediatric transplantation, however, is limited. This study aims to investigate the associations of perioperative anxiety and depression with postoperative complications, sociodemographic and clinical characteristics. Methods: This observational, analytical, longitudinal study included 42 pediatric participants aged 8 to 16 years old. Preoperative psychological assessments were completed by 36 children, the remaining 6 were unable to participate due to invasive ventilation, extracorporeal membrane oxygenation (ECMO), and physical debilitation. Postoperatively, all 42 subjects completed the psychosocial evaluations. Data… More >

Huanan Yu¹, Xiang Zhang^1,*, Jian Wang²

Energy Engineering, Vol.122, No.12, pp. 5055-5071, 2025, DOI:10.32604/ee.2025.067152 - 27 November 2025

Abstract Recent advances in AC/DC hybrid power distribution systems have enhanced convenience in daily life. However, DC distribution introduces significant power quality challenges. To address the identification and classification of DC power quality disturbances, this paper proposes a novel methodology integrating Compressed Sensing (CS) with an enhanced Stacked Denoising Autoencoder (SDAE). The proposed approach first employs MATLAB/SIMULINK to model the DC distribution network and generate DC power quality disturbance signals. The measured original signals are then reconstructed using the compressive sensing-based generalized orthogonal matching pursuit (GOMP) algorithm to obtain sparse vectors as the final dataset. Subsequently, More >