Nevena Stojadinović¹, Goran Mihajlović¹, Marko Spasić¹, Milena Mladenović¹, Darko Hinić^2,*

Psycho-Oncologie, Vol., , DOI:10.32604/po.2024.050122

Abstract Breast cancer is considered one of the most frequent causes of morbidity and death in women. Individuals’ response to information regarding health threats and illness can influence the adjustment of the treatment to existing conditions including the issues of non-completion of treatment or non-attendance at medical appointments. The study aimed to examine the relationship between illness perception, body image dissatisfaction and (mal)adaptive coping styles in breast cancer patients. A sample of 197 patients with diagnosed breast cancer hospitalized at the Center for Oncology and Radiology, Kragujevac, Serbia, was surveyed. The instruments included sociodemographic questionnaire, a Brief Illness Perception Questionnaire (BIPQ),… More >

Na Liu¹, Junxiu Wang^2,3, Wanli Zang^4,*

International Journal of Mental Health Promotion, Vol., , DOI:10.32604/ijmhp.2024.047808

Abstract Objective: The importance of good sleep for energy recovery and overall physical and mental health cannot be overstated. However, the increasing competitiveness of society, diversifying lifestyles, and the rapid spread of the internet and electronic devices have significantly impacted people’s sleep patterns, particularly through bedtime procrastination. Therefore, this study aims to investigate the relationship and underlying mechanisms between sleep determination, anxiety, and bedtime procrastination among the Chinese population. Method: The study utilized data from a national survey—the China Residents’ Sleep Condition Survey (November 2021, with 6,037 participants). By constructing mediation and moderation models, it analyzed the relationship and mechanisms between… More >

Abeer H. Falih^*, Basima Salman Khalaf, Basim Freegah

Frontiers in Heat and Mass Transfer, Vol., , DOI:10.32604/fhmt.2024.049812

Abstract In this study, the primary objective was to enhance the hydrothermal performance of a dimpled tube by addressing areas with low heat transfer compared to other regions. To accomplish this, a comprehensive numerical investigation was conducted using ANSYS Fluent 2022 R1 software, focusing on different diameters of dimples along the pipe’s length and the distribution of dimples in both in-line and staggered arrangements. The simulations utilized the finite element method to address turbulent flow within the tube by solving partial differential equations, encompassing Re numbers spanning from 3000 to 8000. The study specifically examined single-phase flow conditions, with water utilized… More >

Zihan Wang¹, Boshan Zhang², Hui Wang^1,*, Qing Ai¹, Xingchun Huang¹

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2024.048217

Abstract The application of ultra-high performance concrete (UHPC) as a covering layer for steel bridge decks has gained widespread popularity. By employing a connection without a shear connector between the steel plate and UHPC, namely, the sandblasted interface and the epoxy adhesive with sprinkled basalt aggregate interface, the installation cannot only be simplified but also the stress concentration resulting from the welded shear connectors can be eliminated. This study develops constitutive models for these two interfaces without shear connectors, based on the interfacial pull-off and push-out tests. For validation, three-point bending tests on the steel-UHPC composite plates are conducted. The results… More >

Jiakai Li, Jianpeng Hu^*, Geng Zhang

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.050005

Abstract In the process of constructing domain-specific knowledge graphs, the task of relational triple extraction plays a critical role in transforming unstructured text into structured information. Existing relational triple extraction models face multiple challenges when processing domain-specific data, including insufficient utilization of semantic interaction information between entities and relations, difficulties in handling challenging samples, and the scarcity of domain-specific datasets. To address these issues, our study introduces three innovative components: Relation semantic enhancement, data augmentation, and a voting strategy, all designed to significantly improve the model’s performance in tackling domain-specific relational triple extraction tasks. We first propose an innovative attention interaction… More >

Ahmed Alhussen¹, Arshiya S. Ansari^2,*

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.049260

Abstract Traffic in today’s cities is a serious problem that increases travel times, negatively affects the environment, and drains financial resources. This study presents an Artificial Intelligence (AI) augmented Mobile Ad Hoc Networks (MANETs) based real-time prediction paradigm for urban traffic challenges. MANETs are wireless networks that are based on mobile devices and may self-organize. The distributed nature of MANETs and the power of AI approaches are leveraged in this framework to provide reliable and timely traffic congestion forecasts. This study suggests a unique Chaotic Spatial Fuzzy Polynomial Neural Network (CSFPNN) technique to assess real-time data acquired from various sources within… More >

Xiangmiao Wan, Yan Tan^*, Xiong Long

Structural Durability & Health Monitoring, Vol., , DOI:10.32604/sdhm.2024.049363

Abstract In this study, we assessed the impact of substituting natural fine aggregates with municipal solid waste incineration bottom ash (MSWI-BA) in steel fiber (SF)-reinforced concrete on its compressive properties post high-temperature exposure. The concrete specimens incorporating MSWI-BA as the fine aggregate and SFs for reinforcement underwent uniaxial compression tests after exposure to high temperatures. Through the tests, we investigated the impact of high-temperature exposure on mechanical properties, such as mass loss rate, stress-strain full curve, compressive strength, peak strain, elastic modulus, and so on, over different thermostatic durations. The analysis revealed that with the increasing exposure temperature and durations, the… More >

Abdullah A. Alharbi¹, Ahmad Y. Alqassim^1,*, Mohammed A. Muaddi¹, Najat H. Aldubayyan¹, Rana I. Abuhadi¹, Futon A. Akoor¹, Sarah J. Mobarki¹, Imtenan A. Oberi¹, Ghaidaa H. Alharbi¹, Yara Ajeebi¹, Adnan M. Alkhayat², Hafiz Malhan³, Mohammed Bakkar⁴, Anwar M. Makeen¹

International Journal of Mental Health Promotion, Vol., , DOI:10.32604/ijmhp.2024.047219

Abstract Sickle Cell Anemia (SCA) is a prevalent genetic condition in Saudi Arabia, particularly in the Jazan region. The study’s purpose was to assess the prevalence of de-pression among individuals with SCA in this area and to identify the factors associated with this condition. The study involved 391 adult participants, all patients in the hematology center of Prince Mohammed bin Nasser Hospital (PMNH). Data was collected through an anonymous interview questionnaire–the Arabic version of the Patient Health Questionnaire-9 (PHQ-9)–between March–May 2022. The questionnaire covered socio-demographic information and variables related to the participant’s SCA history, such as pain levels, frequency of pain,… More >

Chia-Nan Wang, Thuy-Duong Thi Pham^*, Nhat-Luong Nhieu

Energy Engineering, Vol., , DOI:10.32604/ee.2024.050224

Abstract Geothermal energy is considered a renewable, environmentally friendly, especially carbon-free, sustainable energy source that can solve the problem of climate change. In general, countries with geothermal energy resources are the ones going through the ring of fire. Therefore, not every country is lucky enough to own this resource. As a country with 117 active volcanoes and within the world’s ring of fire, it is a country whose geothermal resources are estimated to be about 40% of the world’s geothermal energy potential. However, the percentage used compared to the geothermal potential is too small. Therefore, this is the main energy source… More >

Daisuke Ishihara^*, Syunnosuke Nozaki, Tomoya Niho, Naoto Takayama

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2024.049694

Abstract The inverse and direct piezoelectric and circuit coupling are widely observed in advanced electro-mechanical systems such as piezoelectric energy harvesters. Existing strongly coupled analysis methods based on direct numerical modeling for this phenomenon can be classified into partitioned or monolithic formulations. Each formulation has its advantages and disadvantages, and the choice depends on the characteristics of each coupled problem. This study proposes a new option: a coupled analysis strategy that combines the best features of the existing formulations, namely, the hybrid partitioned-monolithic method. The analysis of inverse piezoelectricity and the monolithic analysis of direct piezoelectric and circuit interaction are strongly… More >