Ke Jia, Xiuli Liu^*

International Journal of Mental Health Promotion, Vol., , DOI:10.32604/ijmhp.2023.043430

Abstract Empathy is a complex emotional phenomenon that plays a crucial role in promoting cooperation and social cohesion within human society. However, there is ongoing debate regarding the mechanisms that underlie the generation of empathy. While the importance of biological emotional resonance in empathy is widely recognized, the influence of cognitive regulation on empathetic responses cannot be disregarded. This article seeks to review the agents and strategies involved in regulating empathy to construct a dynamic model depicting the process. The model highlights that the impact of specific goals on empathy regulation is not definitive; rather, it depends on an individual’s interpretation… More >

Wan Xiao^1,*, Miaoting Cheng^2,*

International Journal of Mental Health Promotion, Vol., , DOI:10.32604/ijmhp.2023.042976

Abstract Internet addiction and cyberbullying have emerged as significant global mental health concerns in recent years. Although previous studies have shown a close association between Internet addiction and cyberbullying, the underlying mechanisms connecting these two phenomena remain unclear. Therefore, this study aimed to reveal the mechanisms involved between Internet addiction and cyberbullying perpetration from the perspective of cognition function. This study recruited 976 Chinese youth through online survey, using the short version of Internet Addiction Test (s-IAT), Chinese Cyberbullying Intervention Project Questionnaire (C-CIPQ), Cyberbullying Moral Disengagement Scale (CMDS), and Internet Literacy Questionnaire (ILQ) to investigate the relationship between Internet addiction, moral… More >

XIAOJIA HUANG^1,#, CAILU SONG^2,#, JINHUI ZHANG², LEWEI ZHU^3,*, HAILIN TANG^2,*

Oncology Research, Vol., , DOI:10.32604/or.2023.046582

Abstract Breast cancer has surpassed lung cancer to become the most common malignancy worldwide. The incidence rate and mortality rate of breast cancer continue to rise, which leads to a great burden on public health. Circular RNAs (circRNAs), a new class of noncoding RNAs (ncRNAs), have been recognized as important oncogenes or suppressors in regulating cancer initiation and progression. In breast cancer, circRNAs have significant roles in tumorigenesis, recurrence and multidrug resistance that are mediated by various mechanisms. Therefore, circRNAs may serve as promising targets of therapeutic strategies for breast cancer management. This study reviews the most recent studies about the… More >

MINJI PARK¹, CHULHWAN BANG², WON-SOO YUN³, YUN-MI JEONG^3,*

Oncology Research, Vol., , DOI:10.32604/or.2023.044362

Abstract Fucoidan, a sulfate polysaccharide obtained from brown seaweed, has various bioactive properties, including anti-inflammatory, anti-cancer, anti-viral, anti-oxidant, anti-coagulant, anti-thrombotic, anti-angiogenic, and anti-Helicobacter pylori properties. However, the effects of low-molecular-weight fucoidan (LMW-F) on melanoma cell lines and three dimensional (3D) cell culture models are not well understood. This study aimed to investigate the effects of LMW-F on A375 human melanoma cells and cryopreserved biospecimens derived from patients with advanced melanoma. Ultrasonic wave was used to fragment fucoidan derived from Fucus vesiculosus into smaller LMW-F. MTT and live/dead assays showed that LMW-F inhibited cell proliferation in both A375 cells and patientderived melanoma… More >

KEGANG JIA^1,#, YAWEI WANG^2,#, QI CAO^3,*, YOUYU WANG^1,*

Oncology Research, Vol., , DOI:10.32604/or.2023.042863

Abstract Background: Lung cancer is the most prevalent cancer diagnosis and the leading cause of cancer death worldwide. Therapeutic failure in lung cancer (LUAD) is heavily influenced by drug resistance. This challenge stems from the diverse cell populations within the tumor, each having unique genetic, epigenetic, and phenotypic profiles. Such variations lead to varied therapeutic responses, thereby contributing to tumor relapse and disease progression. Methods: The Genomics of Drug Sensitivity in Cancer (GDSC) database was used in this investigation to obtain the mRNA expression dataset, genomic mutation profile, and drug sensitivity information of NSCLS. Machine Learning (ML) methods, including Random Forest… More >

JIANFA WU^1,2,#, QIANYI LIAO^3,#, LI ZHANG^1,2,#, SUQIN WU^1,2,*, ZHOU LIU^1,2,*

Oncology Research, Vol., , DOI:10.32604/or.2023.031404

Abstract The impact of different iron metabolism processes (DIMP) on ovarian cancer remains unclear. In this study, we employed various gene chips and databases to investigate the role of DIMP in the initiation and development of ovarian cancer. cBioPortal was used to determine mutations in DIMP-associated genes in ovarian cancer. Kaplan-Meier plotter was used to examine the influence of DIMP on the prognosis of ovarian cancer. By analyzing 1669 serous ovarian cancer cases, we identified a range of mutations in iron metabolism genes, notably in those coding for the transferrin receptor (19%), melanotransferrin (19%), and ceruloplasmin (10%) in the iron import… More >

Wenjie Li¹, Yucheng Gao², Guoqing Liu², Rongkai Hao², Meijie Zhang², Xiaotian Li^1,*

International Journal of Mental Health Promotion, Vol., , DOI:10.32604/ijmhp.2023.042014

Abstract As adolescent mental health problems are becoming a more serious issue globally, this paper explores the relationship of physical activity in adolescents and its frequency on mental health as well as examines the mediating effects of life satisfaction and self-rated health in order to provide a reference for the promotion of mental health in adolescents. A sample of 3578 Chinese high school students completed questionnaires assessing their mental health, physical activity frequency, life satisfaction, and self-rated health. The mean SCL-90 value for adolescents was found to be 1.629%, and 24.73% of adolescents had varying degrees of mental health issue. Increased… More >

Tianyu Zhou¹, Liang Hao¹, Xin Xu^2,3, Meng Si^2,3, Lian Zhang^2,3,*

Energy Engineering, Vol., , DOI:10.32604/ee.2023.042798

Abstract This paper discussed the experimental results of the performance of an organic Rankine cycle (ORC) system with an ultra-low temperature heat source. The low boiling point working medium R134a was adopted in the system. The simulated heat source temperature (SHST) in this work was set from 39.51°C to 48.60°C by the simulated heat source module. The influence of load percentage of simulated heat source (LPSHS) between 50% and 70%, the rotary valve opening (RVO) between 20% and 100%, the resistive load between 36 Ω and 180 Ω or the no-load of the generator, as well as the autumn and winter… More >

Yue Xue¹, Dunqiu Fan², Shen Su^1,3,*, Jialu Fu¹, Ning Hu¹, Wenmao Liu², Zhihong Tian^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.031488

Abstract Decentralized finance (DeFi) is a general term for a series of financial products and services. It is based on blockchain technology and has attracted people’s attention because of its open, transparent, and intermediary free. Among them, the DeFi ecosystem based on Ethereum-based blockchains attracts the most attention. However, the current decentralized financial system built on the Ethereum architecture has been exposed to many smart contract vulnerabilities during the last few years. Herein, we believe it is time to improve the understanding of the prevailing Ethereum-based DeFi ecosystem security issues. To that end, we investigate the Ethereum-based DeFi security issues: 1)… More >

Akmalbek Abdusalomov¹, Alpamis Kutlimuratov², Rashid Nasimov³, Taeg Keun Whangbo^1,*

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.044466

Abstract The performance of a speech emotion recognition (SER) system is heavily influenced by the efficacy of its feature extraction techniques. The study was designed to advance the field of SER by optimizing feature extraction techniques, specifically through the incorporation of high-resolution Mel-spectrograms and the expedited calculation of Mel Frequency Cepstral Coefficients (MFCC). This initiative aimed to refine the system’s accuracy by identifying and mitigating the shortcomings commonly found in current approaches. Ultimately, the primary objective was to elevate both the intricacy and effectiveness of our SER model, with a focus on augmenting its proficiency in the accurate identification of emotions… More >