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  • Open Access

    ARTICLE

    Impact of Stiffener Configuration on the Structural Performance of Orthotropic Steel Bridge Deck

    Pinyi Zhao1,*, Yu Qin2, Bo Wu3, Yu Chen1, Xingyu Chen1, Jinsheng Wen4

    Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1367-1386, 2025, DOI:10.32604/sdhm.2025.067558 - 05 September 2025

    Abstract The impact of longitudinal stiffener configurations on the structural performance of orthotropic steel bridge decks (OSD) was systematically investigated, with emphasis on U-shaped, T-shaped, and rectangular ribs. Finite element analysis was employed to evaluate deformation and stress distribution under three critical loading scenarios: vertical uniform load, vertical eccentric load, and lateral uniform load. Equivalent models ensuring identical steel usage, moment of inertia, and centroid alignment were established to compare five stiffener configurations. Results demonstrate that U-rib configurations exhibit superior performance in controlling local displacements and minimizing stress concentrations. Under eccentric loading, U-ribs significantly reduce deck… More >

  • Open Access

    ARTICLE

    Impact of COVID-19 care reorganization on the prognosis of patients with bladder urothelial carcinoma: a multicentric retrospective study

    Marie Chaumel1, Nicolas Brichart2, Franck Bruyère1, Ali Bourgi1,*

    Canadian Journal of Urology, Vol.32, No.4, pp. 359-366, 2025, DOI:10.32604/cju.2025.066470 - 29 August 2025

    Abstract Background: The COVID-19 pandemic disrupted healthcare systems globally, raising concerns about delayed cancer diagnosis and treatment. In France, transurethral resection of bladder tumors (TURBT) was prioritized in national urology guidelines to ensure the timely management of urothelial carcinoma. This study aimed to assess the impact of care reorganization on tumor staging, recurrence, palliative care, and mortality in bladder cancer patients from the pre-pandemic through late-pandemic periods. Methods: We conducted a retrospective multicenter study including all patients who underwent TURBT with histologically confirmed urothelial carcinoma between April and December of 2019 (pre-pandemic), 2020 (early pandemic), 2021… More >

  • Open Access

    ARTICLE

    Impact of metabolic syndrome on combination therapy efficacy in LUTS due to BPH: a prospective study

    Iqbal Singh1,*, Himanshu Agrawal2, Vidhi Maurya2, Sanjay Gupta2, Alpana Raizada3

    Canadian Journal of Urology, Vol.32, No.4, pp. 299-308, 2025, DOI:10.32604/cju.2025.064827 - 29 August 2025

    Abstract Objectives: Benign prostatic hyperplasia (BPH) is a common benign tumor in men, with an age-related prevalence of multifactorial etiology. The present study aimed to accurately assess and predict the effect of co-existing metabolic syndrome (MtS) upon treatment outcomes of combination medical therapy in select patients of lower urinary tract symptoms (LUTS) due to BPH. Methods: After obtaining informed consent from the patients, 70 eligible patients with LUTS due to BPH with and without MtS were enrolled in this study from September 2022 to January 2024 from the outpatient clinic at the University College of Medical… More >

  • Open Access

    ARTICLE

    Impact of Duty Cycling HVAC Systems on Thermal Comfort, Energy Consumption, and Operational Costs

    Alya Penta Agharid1, Indra Permana2, Linlan Chang1, Yi-Han Luo2, Fujen Wang2,*

    Energy Engineering, Vol.122, No.9, pp. 3839-3866, 2025, DOI:10.32604/ee.2025.068586 - 26 August 2025

    Abstract Air conditioning (AC) is essential for maintaining indoor comfort during Taiwan’s hot and humid summers but significantly contributes to increased energy consumption. This study evaluates the effects of AC duty-cycling strategies on energy performance, thermal comfort, and operational costs in office environments. Duty-cycling was implemented using a building energy management system (BEMS), which remotely controlled the ON/OFF cycles of AC units. Five duty-cycling modes were tested, with some modes incorporating air circulation during OFF periods. Field measurements of energy consumption, temperature, humidity, and air velocity were conducted and integrated with thermal comfort analysis tools to… More >

  • Open Access

    ARTICLE

    Impact of Building Materials for the Facade on Energy Consumption and Carbon Emissions (Case Study of Residential Buildings in Tehran)

    Amir Sina Darabi*, Mehdi Ravanshadnia

    Energy Engineering, Vol.122, No.9, pp. 3753-3792, 2025, DOI:10.32604/ee.2025.065241 - 26 August 2025

    Abstract Although currently, a large part of the existing buildings is considered inefficient in terms of energy, the ability to save energy consumption up to 80% has been proven in residential and commercial buildings. Also, carbon dioxide is one of the most important greenhouse gases contributing to climate change and is responsible for 60% of global warming. The facade of the building, as the main intermediary between the interior and exterior spaces, plays a significant role in adjusting the weather conditions and providing thermal comfort to the residents. In this research, 715 different scenarios were defined… More >

  • Open Access

    ARTICLE

    Assessing the Impact of Urban Green Spaces on Land Surface Temperature in Shah Alam and Putrajaya

    Aqeel Shah Abdul Halim Shah1,2, Nafisah Khalid1,*, Abdul Rauf Abdul Rasam1

    Revue Internationale de Géomatique, Vol.34, pp. 603-617, 2025, DOI:10.32604/rig.2025.065369 - 06 August 2025

    Abstract Urban green spaces (UGS) play a crucial role in promoting ecological, social, and environmental sustainability. UGS play a key role in reducing land surface temperature (LST) in rapidly urbanizing areas, thereby mitigating the urban heat island (UHI) effect. This paper conducts an extensive analysis of land use, Normalized Difference Vegetation Index (NDVI), and LST to examine the influence of the environmental landscapes of Shah Alam and Putrajaya from 2014 to 2023 on the variation of LST. In 2014, NDVI values in Shah Alam ranged from 0.35 to 0.50, fluctuating to 0.32 to 0.48 in 2023.… More > Graphic Abstract

    Assessing the Impact of Urban Green Spaces on Land Surface Temperature in Shah Alam and Putrajaya

  • Open Access

    ARTICLE

    Dynamic Response and Failure Analysis of Steel Sheet Pile Support Structures in Bank Slopes under Pile Driving Impact Loads

    Ling Ji1,2,*, Nan Jiang3, Yingbo Ren3, Tao Yin1, Haibo Wang1, Bing Cheng4

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 267-288, 2025, DOI:10.32604/cmes.2025.066596 - 31 July 2025

    Abstract During the construction of bank slopes involving pile driving, ensuring slope stability is crucial. This requires the design of appropriate support systems and a thorough evaluation of the failure mechanisms of pile structures under dynamic loading conditions. Based on the Huarong Coal Wharf project, various support schemes are analyzed using numerical simulation methods to calculate and compare slope stability coefficients. The optimal scheme is then identified. Under the selected support scheme, a numerical model of double-row suspended steel sheet piles is developed to investigate the dynamic response of the pile structures under pile driving loads.… More >

  • Open Access

    ARTICLE

    The Impact of Virtual Reality Environment Design on Emotional Recovery: Exploring Factors and Mechanisms

    Hao Fang1,2, Hongyun Guo1, Yinchao Chen3, Hui Shi4, Yihan Gan5, Lin Li6,*

    International Journal of Mental Health Promotion, Vol.27, No.7, pp. 1051-1069, 2025, DOI:10.32604/ijmhp.2025.066369 - 31 July 2025

    Abstract Objectives: Emotional stress is a significant public health challenge. Virtual reality (VR) offers the potential for aiding emotional recovery. This study explores the impact of VR environment design factors on emotional recovery, examining underlying mechanisms through physiological indicators and behavioral responses. Methods: Two experiments were conducted. Experiment 1 employed a 4 [Scene Type: real environment (RE), virtual scenes that restore the RE (VR), virtual scenes that incorporate natural window view design (VR-W), and a no-scene control condition (CTL)] × 3 (Experimental Phase: baseline, emotion arousal, recovery) mixed design (N = 33). Participants viewed a 4-min… More >

  • Open Access

    ARTICLE

    Self-Esteem as a Mediator: Analyzing Its Impact on Parental Attachment and Adolescent Delinquency

    Mahshid Manouchehri1,2,*, Musheer A. Aljaberi3,4, Yi-Ching Lin5, Aiche Sabah6, Amira Mohammed Ali7, Chung-Ying Lin8,9,*

    International Journal of Mental Health Promotion, Vol.27, No.7, pp. 1013-1028, 2025, DOI:10.32604/ijmhp.2025.061088 - 31 July 2025

    Abstract Background: While various factors contributing to delinquency have been explored, the role of self-esteem in this specific context has received little attention. Hence, this study aims to investigate the complex issue of adolescent delinquency in Iran by focusing on the mediating role of self-esteem in the relationship between parental attachment and delinquent behavior. Methods: Using the multistage cluster random sampling method, the research involved 528 high school students in Tehran. Each student completed validated scales assessing their parental attachment, self-esteem, and delinquency at school. Multiple regression analyses with the Sobel test and bootstrapping method were… More >

  • Open Access

    ARTICLE

    Impact of Dataset Size on Machine Learning Regression Accuracy in Solar Power Prediction

    S. M. Rezaul Karim1,2, Md. Shouquat Hossain1,3, Khadiza Akter1, Debasish Sarker4, Md. Moniul Kabir 2, Mamdouh Assad5,*

    Energy Engineering, Vol.122, No.8, pp. 3041-3054, 2025, DOI:10.32604/ee.2025.066867 - 24 July 2025

    Abstract Knowing the influence of the size of datasets for regression models can help in improving the accuracy of a solar power forecast and make the most out of renewable energy systems. This research explores the influence of dataset size on the accuracy and reliability of regression models for solar power prediction, contributing to better forecasting methods. The study analyzes data from two solar panels, aSiMicro03036 and aSiTandem72-46, over 7, 14, 17, 21, 28, and 38 days, with each dataset comprising five independent and one dependent parameter, and split 80–20 for training and testing. Results indicate… More > Graphic Abstract

    Impact of Dataset Size on Machine Learning Regression Accuracy in Solar Power Prediction

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