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  • Open Access

    ARTICLE

    Chinese Adaptation and Psychometric Properties of the Belief in a Just World Scale for College Students

    Zhe Yu1,2, Shuping Yang1,*

    International Journal of Mental Health Promotion, Vol.26, No.4, pp. 271-278, 2024, DOI:10.32604/ijmhp.2024.048342

    Abstract This study aims to revise the Belief in a Just World Scale (BJWS) for Chinese college students and test its reliability and validity (construct validity, convergent and divergent validity). Two samples of 546 and 595 college students were selected, respectively, using stratified cluster random sampling. Item analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability analysis and convergent and divergent validity tests were carried out. The results showed that the 13 items of the BJWS have good item discrimination. The corrected item–total correlation in the general belief in a just world subscale was found to range from 0.464 to… More >

  • Open Access

    ARTICLE

    Validity, Reliability, and Measurement Invariance of the Thai Smartphone Application-Based Addiction Scale and Bergen Social Media Addiction Scale

    Kamolthip Ruckwongpatr1,#, Chirawat Paratthakonkun2,#, Usanut Sangtongdee3,4,*, Iqbal Pramukti5, Ira Nurmala6, Kanokwan Angkasith7, Weena Thanachaisakul7, Jatuphum Ketchatturat8, Mark D. Griffiths9, Yi-Kai Kao10,*, Chung-Ying Lin1,5,11,12

    International Journal of Mental Health Promotion, Vol.26, No.4, pp. 293-302, 2024, DOI:10.32604/ijmhp.2024.047023

    Abstract Background: In recent years, there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs. However, there is a lack of psychometric evaluation for instruments assessing smartphone addiction and social media addiction in Thailand. The present study evaluated the psychometric properties and gender measurement invariance of the Thai version of the Smartphone Application-Based Addiction Scale (SABAS) and Bergen Social Media Addiction Scale (BSMAS). Method: A total of 801 Thai university students participated in an online survey from January 2022 to July 2022 which included demographic… More >

  • Open Access

    ARTICLE

    How Emotion Nurtures Mentality: The Influencing Mechanism of Social-Emotional Competency on the Mental Health of University Students

    Yulei Chen1, Zhaojun Chen1,2, Shichao Wang1, Yang Hang1, Jianpeng Guo1,*

    International Journal of Mental Health Promotion, Vol.26, No.4, pp. 303-315, 2024, DOI:10.32604/ijmhp.2024.046863

    Abstract Social-Emotional Competency (SEC), regarded as a critical psychological resource for individuals to adapt to social environments, is an effective protective factor for students’ mental health, impacting their future success and well-being. Analyzing the impact of SEC on university students’ mental health can offer valuable insights for nurturing talents with healthy psychological and physical development. Based on data from two large-scale surveys of Chinese university students, this study designed two comprehensive Multiple Mediation Models involving SEC, stress, coping strategies, and stress reaction to explore the pathway of emotion nurturing mentality. Study 1 utilized a parallel mediation model to examine the relationships… More >

  • Open Access

    ARTICLE

    Provoking Buying Behaviors Amid Crises: Unfolding the Underlying Mechanisms of Psychological Impairments

    Muhammad Waleed Ayub Ghouri1, Guofeng Wang2, Muhammad Ali Hussain3, Zhisheng Li1,*, Tachia Chin1

    International Journal of Mental Health Promotion, Vol.26, No.4, pp. 279-292, 2024, DOI:10.32604/ijmhp.2024.044759

    Abstract Crises in the past have caused devastating, long-lasting impacts on the global economy. The after-effects always bring some dynamic and rigorous challenges for businesses and governments. Such challenges have always been a point of discussion for scholars. The recent COVID-19 pandemic emaciated the global economy, leaving everyone mired in uncertainty, fear, and psychological impairments. One of the headwind features utilized by consumers during pandemic was panic buying (PB), which must be explored in various contexts for policymakers and practitioners. To address this gap, this study deployed a moderated mediation mechanism, integrating the health belief model (HBM) and competitive arousal theory… More >

  • Open Access

    REVIEW

    Plant Chemical Defenses against Insect Herbivores—Using the Wild Tobacco as a Model

    Guangwei Sun1,2,#, Xuanhao Zhang3,#, Yi Liu3, Liguang Chai2, Daisong Liu2, Zhenguo Chen1,*, Shiyou Lü3,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 641-659, 2024, DOI:10.32604/phyton.2024.049285

    Abstract The Nicotiana genus, commonly known as tobacco, holds significant importance as a crucial economic crop. Confronted with an abundance of herbivorous insects that pose a substantial threat to yield, tobacco has developed a diverse and sophisticated array of mechanisms, establishing itself as a model of plant ecological defense. This review provides a concise overview of the current understanding of tobacco’s defense strategies against herbivores. Direct defenses, exemplified by its well-known tactic of secreting the alkaloid nicotine, serve as a potent toxin against a broad spectrum of herbivorous pests. Moreover, in response to herbivore attacks, tobacco enhances the discharge of volatile… More >

  • Open Access

    ARTICLE

    Profiles of the Headspace Volatile Organic and Essential Oil Compounds from the Tunisian Cardaria draba (L.) Desv. and Its Leaf and Stem Epidermal Micromorphology

    Wissal Saadellaoui1, Samiha Kahlaoui1, Kheiria Hcini1, Abir Haddada1, Noomene Sleimi2,*, Roberta Ascrizzi3, Guido Flamini3, Fethia Harzallah-Skhiri4, Sondes Stambouli-Essassi1

    Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 725-744, 2024, DOI:10.32604/phyton.2024.048110

    Abstract In this work, we investigated aroma volatiles emanated by dry roots, stems, leaves, flowers, and fruits of Cardaria draba (L.) Desv. growing wild in Tunisia and its aerial part essential oils (EOs) composition. A total of 37 volatile organic compounds (96.7%–98.9%) were identified; 4 esters, 4 alcohols, 7 hydrocarbons, 12 aldehydes, 5 ketones, 1 lactone, 1 organosulfur compound, 2 organonitrogen compounds, and 1 acid. The hydrocarbons form the main group, representing 49.5%–84.6% of the total detected volatiles. The main constituent was 2,2,4,6,6-pentamethylheptane (44.5%–76.2%) reaching the highest relative percentages. Forty-two compounds were determined in the two fractions of EOs, representing 98.8%… More >

  • Open Access

    ARTICLE

    Chitosan Nanoparticles as Biostimulant in Lettuce (Lactuca sativa L.) Plants

    Silvia C. Ramírez-Rodríguez1, Pablo Preciado-Rangel1, Marcelino Cabrera-De La Fuente2, Susana González-Morales2, Hortensia Ortega-Ortiz3,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 777-787, 2024, DOI:10.32604/phyton.2024.048096

    Abstract Biodegradable nanoparticles such as chitosan nanoparticles (CSNPs) are used in sustainable agriculture since they avoid damage to the environment; CSNPs have positive effects such as the accumulation of bioactive compounds and increased productivity in plants. This study aimed to investigate the impact of applying CSNPs on lettuce, specifically focusing on enzymatic activity, bioactive compounds, and yield. The trial was conducted using a completely randomized design, incorporating CSNPs: 0, 0.05, 0.1, 0.2, 0.4, and 0.8 mg mL. The doses of 0.4 mg mL improve yields up to 24.6% increases and 0.1 mg mL of CSNPs increases total phenols by 31.2% and… More >

  • Open Access

    ARTICLE

    Transcriptome Analysis of Inflorescence Development at the Five-Leaf Stage in Castor (Ricinus communis L.)

    Yong Zhao1,#, Yaxuan Jiang3,#, Li Wen1, Rui Luo2, Guorui Li2, Jianjun Di2, Mingda Yin2, Zhiyan Wang2, Fenglan Huang2,4,5,6,7,*, Fanjuan Meng3,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 713-723, 2024, DOI:10.32604/phyton.2024.047657

    Abstract The yield of castor is influenced by the type of inflorescence and the proportion of female flowers. However, there are few studies on the genetic mechanism involved in the development and differentiation of castor inflorescences. In this study, we performed transcriptomic analyses of three different phenotypes of inflorescences at the five-leaf stage. In comparison to the MI (complete pistil without willow leaves), 290 and 89 differentially expressed genes (DEGs) were found in the SFI (complete pistil with willow leaves) and the BI (monoecious inflorescence), respectively. Among the DEGs, 104 and 88 were upregulated in the SFI and BI, respectively, compared… More >

  • Open Access

    ARTICLE

    Mitigating Carbon Emissions: A Comprehensive Analysis of Transitioning to Hydrogen-Powered Plants in Japan’s Energy Landscape Post-Fukushima

    Nugroho Agung Pambudi1,2,4,*, Andrew Chapman, Alfan Sarifudin1,3, Desita Kamila Ulfa4, Iksan Riva Nanda5

    Energy Engineering, Vol.121, No.5, pp. 1143-1159, 2024, DOI:10.32604/ee.2024.047555

    Abstract One of the impacts of the Fukushima disaster was the shutdown of all nuclear power plants in Japan, reaching zero production in 2015. In response, the country started importing more fossil energy including coal, oil, and natural gas to fill the energy gap. However, this led to a significant increase in carbon emissions, hindering the efforts to reduce its carbon footprint. In the current situation, Japan is actively working to balance its energy requirements with environmental considerations, including the utilization of hydrogen fuel. Therefore, this paper aims to explore the feasibility and implications of using hydrogen power plants as a… More >

  • Open Access

    ARTICLE

    Weather-Driven Solar Power Forecasting Using D-Informer: Enhancing Predictions with Climate Variables

    Chenglian Ma1, Rui Han1, Zhao An2,*, Tianyu Hu2, Meizhu Jin2

    Energy Engineering, Vol.121, No.5, pp. 1245-1261, 2024, DOI:10.32604/ee.2024.046644

    Abstract Precise forecasting of solar power is crucial for the development of sustainable energy systems. Contemporary forecasting approaches often fail to adequately consider the crucial role of weather factors in photovoltaic (PV) power generation and encounter issues such as gradient explosion or disappearance when dealing with extensive time-series data. To overcome these challenges, this research presents a cutting-edge, multi-stage forecasting method called D-Informer. This method skillfully merges the differential transformation algorithm with the Informer model, leveraging a detailed array of meteorological variables and historical PV power generation records. The D-Informer model exhibits remarkable superiority over competing models across multiple performance metrics,… More > Graphic Abstract

    Weather-Driven Solar Power Forecasting Using D-Informer: Enhancing Predictions with Climate Variables

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