Wenfeng Wang^1,*, Wenjie Fan¹, Fang Dong¹, Bin Zeng¹, Wenxin Yu¹, Xiangping Deng²

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.078416 - 08 May 2026

Abstract Unmanned Aerial Vehicle (UAV) image object detection has been widely applied in many fields. However, compared with ordinary natural images, UAV images often exhibit complex backgrounds, a predominance of small objects, and significant variations in target scales, which cause traditional detection algorithms to easily suffer from missed or false detections with insufficient accuracy. To address these issues, this paper proposes a novel UAV image object detection algorithm named DMA-YOLO based on the YOLOv8s model, incorporating a deep diverse branch block and multi-scale auxiliary feature. First, a DF-C2f module integrating a deep diverse branch block and… More >

Shuqiu Tan, Chunsheng Tan, Yahui Liu^*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.077982 - 08 May 2026

Abstract Multimodal sentiment analysis aims to accurately identify emotional states by comprehensively utilizing information from multiple sources such as text, audio, and visual data. However, semantic heterogeneity and temporal differences exist between different modalities, limiting the effectiveness of feature fusion. To address this issue, this paper proposes a hierarchical joint cross-modal attention and gating mechanism (HJCAG) for multimodal sentiment analysis. This method introduces a hierarchical structure, dividing modal interactions into bimodal and trimodal layers to progressively model the semantic relevance between modalities. First, deep features are extracted from text, audio, and visual modalities using pre-trained models… More >

Xian Wu, Liang Wan^*, Jingxia Ren, Bangfeng Zhang

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.077928 - 08 May 2026

Abstract Traditional malware detection models rely on a single feature source for detection, resulting in high false positive or false negative rates due to incomplete information. In addition, conventional models depend on manual feature engineering, which is inefficient and hard to adapt to new malware variants. To address these challenges, this paper proposes a malware detection model called WAFDect based on a self-attention mechanism with multi-source feature fusion. The model consists of two key designs. First, we construct a multi-source feature extraction model that analyzes multi-source data such as API call sequences, registry operation logs, file… More >

Jinjiang Lin, Yuan Lu, Han Li, Xiaolong Cai, Enyi Chen, Jiansheng Guan^*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.077916 - 08 May 2026

Abstract Manipulating objects based on verbal commands in cluttered environments remains a critical challenge in robotic arm research. Verbal commands possess high semantic abstraction, while precise grasping and placement actions rely on fine-grained geometric perception. The disparity between these two domains is the primary cause of operational errors. Particularly in certain cluttered scenarios, visual-spatial noise and background redundancy further disrupt attention distribution, significantly degrading the generalization capabilities of existing methods in unseen environments. To address these issues, this paper proposes the Secondary Realignment (SR) framework. It decouples vision-language alignment and vision-action alignment into two stages, mitigating More >

Donghee Oh¹, Chris Lee², Juneyoung Park^1,3,*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.076994 - 08 May 2026

Abstract This study presents a novel integrated framework for autonomous vehicle control at unsignalized intersections in mixed traffic environments, addressing the critical challenge of coordinating Society of Automotive Engineers (SAE) level 4 connected and autonomous vehicles (CAVs) and manually driven vehicles (MVs). The combination of driving intention prediction with a Social Long Short-Term Memory (Social LSTM) and a scheduling algorithm with optimization-driven Pass-through Time Windows (PTWs) is adopted to address traffic flow uncertainty. The Social LSTM model with spatial pooling layers to capture complex multi-vehicle interactions and predict surrounding vehicles’ trajectories and maneuver intentions using naturalistic… More >

Xiang Chen^1,2,3,*, Shugang Sun¹, Xingxing Wang³, Yelin Deng²

Frontiers in Heat and Mass Transfer, Vol.24, No.2, 2026, DOI:10.32604/fhmt.2026.077731 - 30 April 2026

Abstract Large-capacity energy storage batteries exhibit thermal behaviors markedly different from conventional cylindrical or pouch cells. Due to their multilayer electrode structure, they show pronounced anisotropy in thermal conductivity between through-thickness and in-plane directions. This results in uneven heat diffusion and internal–external temperature gradients that surface sensors cannot capture. Moreover, heat generation varies with temperature and state of charge (SOC) owing to changes in internal resistance. To address these challenges, an equivalent circuit and anisotropic electrothermal coupled model were established, with heat generation and transfer processes analytically derived. Parameter identification was performed through capacity calibration, specific More >

Haoran Li, Qi Sun, Haoran Sun, Ziyan Wu, Wenjin Wang, Fang Liu^*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.079359 - 28 April 2026

Abstract Soil salinization is an increasingly severe global issue, posing a significant threat to crop growth and food security. Although sorghum exhibits moderate tolerance to saline-alkali stress, it remains highly sensitive to such conditions during the seedling stage. This study investigates the mechanisms by which zinc oxide nanoparticles (ZnO NPs) alleviate saline-alkali stress in sorghum seedlings and determines their optimal application concentration, thereby providing a scientific basis for agricultural production in saline-alkali soils. Hydroponic experiments were conducted to simulate varying degrees of saline-alkali stress. Sorghum seedlings were treated with different concentrations of ZnO NPs (0, 50,… More >

Yingying Xing, Rong Wei, Xiukang Wang^*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.078974 - 28 April 2026

Abstract Rhizosphere microorganisms, as crucial biological groups at the soil–plant interface, play a significant role in advancing sustainable agriculture. This review systematically synthesizes three decades of research to elucidate the mechanisms and applications of rhizosphere microbes—including nitrogen-fixing bacteria, phosphate-solubilizing microorganisms, and plant growth–promoting rhizobacteria (PGPR)—in enhancing soil health, improving crop stress tolerance, and optimizing ecosystem functioning. Key findings indicate that replacing 50% of synthetic nitrogen with organic fertilizer in maize–wheat rotation systems can reduce nitrous oxide emissions by up to 68% in loamy soils. Long-term no-till systems enhance carbon sequestration through microbial-driven soil organic matter accumulation.… More >

Yao-Chung Cheng^1,2, Der-Fa Chen^3,*, Kai-Jie Chen⁴, Kun-Yi Chen⁵, Wen-Ling Ke⁶, Xie-Chuan Qiu⁶, Min-Han Chung⁶

International Journal of Mental Health Promotion, Vol.28, No.4, 2026, DOI:10.32604/ijmhp.2026.077564 - 28 April 2026

Abstract Objectives: Smartphone addiction has become a salient mental health concern among university students. Although the Big Five personality traits are associated with problematic smartphone use, less is known about the psychological mechanisms linking personality to addictive smartphone behavior. This study examined whether mindfulness functions as a self-regulatory mechanism linking personality traits to smartphone addiction. Method: A cross-sectional survey was administered to Taiwanese university students (N = 665). Partial least squares structural equation modeling with bootstrapping was used to test direct and indirect associations among the Big Five traits, mindfulness, and smartphone addiction. Results: Mindfulness was negatively associated… More >

Mataanana Mulavu^1,*, Dana Seale², J. Paul Seale³, Sion K. Harris⁴, Tulani Francis L. Matenga¹, Mwitwa Mugode¹, Shimeo Sakanya¹, Jonathan M. Tirrell⁵, Phillip Chimponda⁶, Wilbroad Mutale⁷, Mutale Sampa⁸, Oliver Mweemba¹

Journal of Psychology in Africa, Vol.36, No.2, pp. 219-230, 2026, DOI:10.32604/jpa.2026.071580 - 29 April 2026

Abstract Unhealthy substance use is high among adolescents and young people in Zambia. Conceivably, a character strength approach could help reduce alcohol and other psychoactive substance use among young adults. We tested the efficacy of a positive psychology based group-based character strengths prevention and recovery program for alcohol risk reduction among Zambian young adults. The primary study participants included schoolchildren and community members. We conducted 8 focus group discussions (FGDs) with school students (aged 13 to 17) and community youth (ages 18–24), 12 FGDs with parents, teachers, family, friends, and group leaders. Moreover, we conducted 8… More >