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  • Open Access

    ARTICLE

    When friendship meets love: A short-term prospective study of opposite-sex friends need fulfillment effects on romantic relationship quality

    Xiaoyue Zhao1, Ting Wang2, Baoyan Yang3,*, Hongyu Zang1, Qifeng Gao1, Zhongyuan Zhang1, Birong Xing1

    Journal of Psychology in Africa, Vol.35, No.5, pp. 701-711, 2025, DOI:10.32604/jpa.2025.067155 - 24 October 2025

    Abstract This study explored the relationship between need fulfillment given by opposite-sex friends and romantic relationship quality, as well as the potential underlying mechanisms, including perceived quality of opposite-sex friend relationships, need fulfillment given by romantic partners and romantic desire towards opposite-sex friends. A total of 98 unmarried Chinese young adults in romantic relationships were participants (females = 45.9%; M = 22.71, SD = 2.81). The findings from regression, mediation, and moderation analyses indicated need fulfillment given by opposite-sex friends was associated with lower romantic relationship quality. Perceived quality of opposite-sex friend relationships mediated the relationship between… More >

  • Open Access

    ARTICLE

    TRANSHEALTH: A Transformer-BDI Hybrid Framework for Real-Time Psychological Distress Detection in Ambient Healthcare

    Parul Dubey1,*, Pushkar Dubey2, Mohammed Zakariah3,4,*, Abdulaziz S. Almazyad4, Deema Mohammed Alsekait5

    CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3897-3919, 2025, DOI:10.32604/cmc.2025.066882 - 23 September 2025

    Abstract Psychological distress detection plays a critical role in modern healthcare, especially in ambient environments where continuous monitoring is essential for timely intervention. Advances in sensor technology and artificial intelligence (AI) have enabled the development of systems capable of mental health monitoring using multi-modal data. However, existing models often struggle with contextual adaptation and real-time decision-making in dynamic settings. This paper addresses these challenges by proposing TRANS-HEALTH, a hybrid framework that integrates transformer-based inference with Belief-Desire-Intention (BDI) reasoning for real-time psychological distress detection. The framework utilizes a multimodal dataset containing EEG, GSR, heart rate, and activity… More >

  • Open Access

    ARTICLE

    Desired Dynamic Equation for Primary Frequency Modulation Control of Gas Turbines

    Aimin Gao1, Xiaobo Cui2,*, Guoqiang Yu1, Jianjun Shu1, Tianhai Zhang1

    Energy Engineering, Vol.121, No.5, pp. 1347-1361, 2024, DOI:10.32604/ee.2023.045805 - 30 April 2024

    Abstract Gas turbines play core roles in clean energy supply and the construction of comprehensive energy systems. The control performance of primary frequency modulation of gas turbines has a great impact on the frequency control of the power grid. However, there are some control difficulties in the primary frequency modulation control of gas turbines, such as the coupling effect of the fuel control loop and speed control loop, slow tracking speed, and so on. To relieve the abovementioned difficulties, a control strategy based on the desired dynamic equation proportional integral (DDE-PI) is proposed in this paper. More >

  • Open Access

    ARTICLE

    Extension of Goal-Directed Behavior Model for Post-Pandemic Korean Travel Intentions to Alternative Local Destinations: Perceived Risk and Knowledge

    Heesup Han1, Hong Ngoc Nguyen2, Hyerin Lee3, Sanghyeop Lee4,*

    International Journal of Mental Health Promotion, Vol.25, No.4, pp. 449-469, 2023, DOI:10.32604/ijmhp.2023.025379 - 01 March 2023

    Abstract Since the outbreak of COVID-19, tourists have been increasingly concerned over various risks of international travel, while knowledge of the pandemic appears to vary significantly. In addition, as travel restrictions continue to impact adversely on international tourism, tourism efforts should be placed more on the domestic markets. Via structural equation modeling, this study unearthed different risk factors impacting Korean travelers’ choices of alternative local destinations in the post-pandemic era. In addition, this study extended the goal-directed behavior framework with the acquisition of perceived risk and knowledge of COVID-19, which was proven to hold a significantly More >

  • Open Access

    ARTICLE

    Skipping Undesired High-Frequency Content to Boost DPI Engine

    Likun Liu1, Jiantao Shi1, *, Xiangzhan Yu1, Hongli Zhang1, Dongyang Zhan2

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 649-661, 2020, DOI:10.32604/cmc.2020.07736 - 01 May 2020

    Abstract Deep Packet Inspection (DPI) at the core of many monitoring appliances, such as NIDS, NIPS, plays a major role. DPI is beneficial to content providers and censorship to monitor network traffic. However, the surge of network traffic has put tremendous pressure on the performance of DPI. In fact, the sensitive content being monitored is only a minority of network traffic, that is to say, most is undesired. A close look at the network traffic, we found that it contains many undesired high frequency content (UHC) that are not monitored. As everyone knows, the key to… More >

  • Open Access

    ARTICLE

    BDI Agent and QPSO-based Parameter Optimization for a Marine Generator Excitation Controller

    Wei Zhang1, Weifeng Shi2, Bing Sun3

    Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 423-431, 2019, DOI:10.31209/2018.100000045

    Abstract An intelligent optimization algorithm for a marine generator excitation controller is proposed to improve dynamic performance of shipboard power systems. This algorithm combines a belief–desire–intention agent with a quantum-behaved particle swarm optimization (QPSO) algorithm to optimize a marine generator excitation controller. The shipboard zonal power system is simulated under disturbance due to load change or severe fault. The results show that the proposed optimization algorithm can improve marine generator stability compared with conventional excitation controllers under various operating conditions. Moreover, the proposed intelligent algorithm is highly robust because its performance is insensitive to the accuracy More >

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