Shi-Min Chen, Li-Li Wang^*

International Journal of Mental Health Promotion, Vol.28, No.6, 2026, DOI:10.32604/ijmhp.2026.077617 - 23 June 2026

Abstract Backgrounds: The factors influencing emotion regulation choice (ERC) are numerous, raising the question of how to classify them systematically. Methods: This study proposed a framework of four first-order factors—the emotion to be regulated, emotion regulation goals, emotion regulation resources, and psychosocial context—by integrating several key theories of ERC, including the Action Control Theory of Emotion Regulation, the Extended Process Model of Emotion Regulation, the Process-specific Timing Framework Theory, the Selection, Optimization, and Compensation model of Emotion Regulation, and the Emotion as Social Information Theory. Results: This research also provided a detailed examination of the effects of multiple More >

Siying Li¹, Xinyu Feng², Xin Ma², Hui Huang², Zhipeng Wang², Baolian Liu², Zujun Ding², Weihong Ding², Xiaolong Huang², Jie Ji^2,*

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.078062 - 18 June 2026

Abstract This study introduces a novel Dual-Stage GT-RO-PCC (Game Theory-Robust Optimization-Price Coupling Control) paradigm to address operational challenges in community-integrated energy microgrids (CIEMs) characterized by multi-energy complementarity and distributed generation. By synergizing strategic interaction mechanisms with uncertainty-aware energy management, the proposed framework establishes a tripartite governance structure integrating microgrid operators, user-side aggregators, and shared energy storage operators. The first stage formulates a Stackelberg game-theoretic model to optimize day-ahead electricity/heat pricing strategies through bilevel optimization, incorporating flexible load management modeling with flexible load disaggregation and carbon emission trading mechanisms. The second stage constructs a two-stage stochastic robust… More >

Xiaolan Li^1,2, Yanting Wang^1,2,*

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.076417 - 18 June 2026

Abstract To address the operational challenges of power systems with high renewable penetration, this research targets the non-stationarity and stochasticity of wind power. A novel hybrid framework for probabilistic forecasting and risk assessment is proposed. Initially, Empirical Mode Decomposition (EMD) adaptively decomposes the raw power signal into multi-scale Intrinsic Mode Functions (IMFs) and a residual trend, effectively segregating temporal features and reducing complexity. These components are then fused with historical data to form a comprehensive input. The core predictor is a Bidirectional Gated Recurrent Unit (BiGRU) network enhanced with a Temporal Attention (TA) mechanism. The BiGRU… More >

Guofeng Zhuang¹, Xiuzhen Zhao², Xuemei Luo^3,*, Shibin Chen³, Xujun Zhang³

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.072999 - 18 June 2026

Abstract This paper investigates voltage fluctuations in direct-drive wind farms induced by wide-band oscillations during grid integration. A sequence impedance model of the wind farm is established, incorporating key components such as direct-drive wind turbines, static var generators (SVGs), transformers, and transmission lines. Based on this model, positive- and negative-sequence impedance expressions are derived. The quantitative relationship among voltage fluctuation, system strength (short-circuit ratio, SCR), and power imbalance is formulated, leading to a comprehensive expression that highlights the influence of impedance mismatch between positive and negative sequences on wide-band oscillations. Simulation results confirm an approximately linear… More >

Raquel Sanchez-Baltasar¹, Nerea Castañeda-Fernández¹, Jorge Olivares-Arancibia², Carlos Torres-Villar^3,4, Julio Plaza-Diaz^5,6,7,8,*, Lourdes Herrera-Quintana^1,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.081924 - 16 June 2026

Abstract Breast cancer (BC) is the most frequently diagnosed malignancy in women worldwide and remains one of the leading causes of cancer-related mortality, with substantial international disparities in incidence, stage at diagnosis, access to treatment, and survival. In recent years, BC management has evolved rapidly through advances in molecular characterization, imaging, pathology, targeted therapies, immunotherapy, and survivorship care. Nevertheless, important gaps persist in early and accurate detection, biomarker standardization, equitable access to care, and patient-specific treatment selection. These advances require timely, evidence-based, and context-specific clinical frameworks to support appropriate implementation, and to avoid the use of… More >

Guodong Yu^1,#, Weiying Ge^2,#, Hongliang Yao³, Xuefeng Bai¹, Jianfei Wu¹, Yuan Wang¹, Jiangtao Bai⁴, Yong Cui^1,*, Jijing Han^5,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.080746 - 16 June 2026

Abstract Hepatocellular carcinoma (HCC) develops in a chronically inflamed and dysregulated liver metabolism, in which tumor progression and resistance to treatment are orchestrated by the changes in cellular metabolism and immune control. Growing evidence recognizes immunometabolic reprogramming as the two-way interaction of metabolic processes and immune cell capabilities as one of the major determinants of immune evasion and heterogeneity of treatment response in HCC. The review aims to comprehensively evaluate immunometabolic reprogramming in hepatocellular carcinoma, with a focus on its role in tumor progression, immune regulation, and its potential for biomarker identification and therapeutic targeting. Dysregulated More >

Changyul Kim^1,2,#, Yu Ju Jung^2,#, Da Hee Son², Na Young Kim², Se Gie Kim³, Hee Sung Park^1,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.078448 - 16 June 2026

Abstract Backgrounds: Autocrine motility factor (AMF) represents a paradoxical protein with dual roles in cancer progression and therapy. This study investigated AMF-derived tetradecapeptides as novel chemosensitizing agents to overcome multidrug resistance (MDR) in hematological malignancies (HMs). Methods: Seven AMF variants were screened for anticancer activity across 14 human cancer cell lines using MTT and Cell Counting Kit-8 (CCK-8) assays. Four tetradecapeptides (AMF-derived peptides AAP, HGP, HTP, and SKP) corresponding to the AMF206-219 region were designed and evaluated in three HM cell lines (HL-60, CCRF-CEM, IM-9) for growth inhibition, cellular internalization, reactive oxygen species (ROS) production, mitochondrial membrane… More >

Jian Su^1,2,*, Jiaqi Wang²

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.082531 - 15 June 2026

Abstract Despite significant advances in object detection technology, vulnerable pedestrian detection in intelligent transportation systems remains highly challenging under complex weather conditions. Environmental factors such as fog, rain, and snow often lead to occlusion, motion blur, and low-contrast images, making small-scale or weak-featured vulnerable pedestrians difficult to accurately identify. Therefore, improving the detection accuracy and robustness of vulnerable pedestrians in complex weather scenarios has become an urgent research problem. To address this issue, this paper proposes an improved YOLOv8-based vulnerable pedestrian complex weather detection algorithm, termed VPCW-YOLO. The proposed method enhances detection performance through multiple structural… More >

Shuaiyu Zhu¹, Sergey Ablameyko^1,2, Ji Li^3,*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.082486 - 15 June 2026

Abstract Satellite remote sensing images pose significant challenges for object detection due to their high resolution, complex scenes, and large variations in target scales. To address the insufficient detection accuracy of the YOLOv11n model in remote sensing imagery, this paper proposes two improvement strategies. Method 1: (a) a Large Separable Kernel Attention (LSKA) mechanism is introduced into the backbone network to enhance feature extraction for small objects; (b) a Gold-YOLO structure is incorporated into the neck network to achieve multi-scale feature fusion, thereby improving the detection performance of objects at different scales. Method 2: (a) the More >

Lei Wang¹, Hongji Luo², Yong Heng², Jingnan Tang², Xiaochuan Ju², Jianwei An^1,*, Haitao Xu¹, Xianwei Zhou¹

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.082418 - 15 June 2026

Abstract In intelligent connected vehicles (ICVs) system, driving users connect to service providers (SPs) to obtain location-based services (LBS). Users transmit large volumes of encrypted sensitive information related to their itineraries to SPs to access value-added services. Attackers may launch chosen-ciphertext attacks (CCA) against SPs by exploiting the malleability of homomorphic encryption. This enables adversaries to infer or steal private key information, thereby threatening the long-term privacy of user data. Furthermore, existing key management technologies in ICVs system predominantly rely on passive defense strategies and suffer from limitations such as single protection mechanisms, delayed updates, and More >