Maureen Veilleux^1,2,#, Anh Nguyen^3,#, Charles Cao^4,#, Yihui Shi^2,*

Oncology Research, DOI:10.32604/or.2026.072194

Abstract ADP-ribosyltransferases (ARTs) regulate key processes in cancer, including DNA repair, transcription, immune responses, and treatment resistance. The clostridial toxin-like ADP-ribosyltransferase (ARTC) family and the diphtheria toxin-like ADP-ribosyltransferase (ARTD) family play a crucial role in genomic stability by modification of proteins either with mono(ADP-ribosyl)ation (MARylation) or poly(ADP-ribosyl)ation (PARylation). These ARTs are promising therapeutic targets and could serve as biomarkers in cancer management. This review explores the roles of these enzymes and current knowledge on specific inhibitors. A literature search was conducted in PubMed and Google Scholar to identify studies published between 1992 and 2025 on ADP-ribosyltransferases… More >

Weiping Yang^1,#, Wei Xiao^2,#, Wenhao Xu^3,#, Lijun Ren¹, Xian Li¹, Junhua Yu¹, Ronghua Wang^4,*

Oncology Research, DOI:10.32604/or.2026.071122

Abstract Background: Tertiary lymphoid structures (TLSs) promote antitumor immunity and predict favorable immunotherapy outcomes in breast cancer. The study aimed to investigate how Tryptophan 2,3-dioxygenase (TDO2)-associated tryptophan metabolism influences TLS maturation and B cell class switching in breast cancer. Methods: Bulk transcriptomic data from The Cancer Genome Atlas-Breast Invasive Carcinoma (TCGA-BRCA, n = 1055) were analyzed using Gene Set Variation Analysis (GSVA)–based metabolic scoring, immune deconvolution, and TLS quantification. Single-cell RNA sequencing (scRNA-seq, n = 26) and spatial transcriptomics (n = 1) were applied to map TDO2 expression and TLS spatial organization. Validation was performed by immunohistochemistry (n… More >

Jin Shang^1,#, Weimin Zhang^2,#, Landuo Zhang¹, Xiangwen Li¹, Qi Wang¹, Peng Zhao³, Liangliang Duan^1,*

Journal of Renewable Materials, DOI:10.32604/jrm.2026.02025-0124

Abstract Wound healing is a complex and dynamic process essential for restoring the integrity of damaged skin. It requires wound dressings that actively regulate the wound microenvironment by preventing infection, maintaining moisture balance, allowing gas exchange, and managing exudate. Natural polysaccharides, such as konjac glucomannan (KGM), chitosan, and cellulose, are well suited to this role because of their biocompatibility, biodegradability, and intrinsic bioactivity. Extensive research has focused on developing polysaccharide-based wound dressings with enhanced functionality to promote healing. This review examines recent scientific research published mostly in the past five years on the development and application… More > Graphic Abstract

Mataanana Mulavu^1,*, Dana Seale², J. Paul Seale³, Sion K. Harris⁴, Tulani Francis L. Matenga¹, Mwitwa Mugode¹, Shimeo Sakanya¹, Jonathan M. Tirrell⁵, Phillip Chimponda⁶, Wilbroad Mutale⁷, Mutale Sampa⁸, Oliver Mweemba¹

Journal of Psychology in Africa, DOI:10.32604/jpa.2026.071580

Abstract Unhealthy substance use is high among adolescents and young people in Zambia. Conceivably, a character strength approach could help reduce alcohol and other psychoactive substance use among young adults. We tested the efficacy of a positive psychology based group-based character strengths prevention and recovery program for alcohol risk reduction among Zambian young adults. The primary study participants included schoolchildren and community members. We conducted 8 focus group discussions (FGDs) with school students (aged 13 to 17) and community youth (ages 18–24), 12 FGDs with parents, teachers, family, friends, and group leaders. Moreover, we conducted 8… More >

Shuhua Wei^1,#, Hongkun Ji^1,#, Fang Kong², Bijuan Huang^1,*

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2026.076393

Abstract Background: Early adolescents (ages 11–15), mainly Chinese middle-school students, face academic tracking pressure for the high-school entrance exam and multiple stressors, with depressive symptoms detected in up to 21.9% of this group. Because this stage is a “critical window” for depression intervention and the Ministry of Education requires “stratified and classified interventions”, systematically identifying the patterns and dynamic transition patterns of adolescent depressive symptoms is of considerable practical and theoretical importance. This study aimed to identify the latent profiles and transitions of depressive symptoms among middle-school students and to examine how different types of stress, life… More >

Natalie Y. Luo¹, Edie L. Sperling^2,*, Juliette Lum²

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2026.074948

Abstract Objectives: Healthcare students experience significant stress due to their rigorous graduate school curricula. These levels of stress are associated with higher risks of depression, self-harm, and exhaustion. Coping interventions have been shown to help students develop healthy stress coping strategies. The purpose of this systematic review and meta-analysis was to examine the diverse array of coping interventions and what characteristics of coping interventions were most effective at decreasing stress among healthcare students. Methods: Any intervention designed to address coping for academic stress was included among medical, dental, nursing, physician assistant, allied health, veterinary, psychology, etc. students.… More >

Xiaoting Hou¹, Jingjing Zhao¹, Yuxin Shi¹, Yuhua Li^2,*, Shufen Xing^1,*

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2026.074010

Abstract Background: The growing parenting stress among Chinese mothers in recent years raises concerns about its impact on adolescent internalizing problems. The purpose of this study was to examine the curvilinear relationship between maternal parenting stress and internalizing problems in adolescents, and further explore the moderating effects of family socioeconomic status (SES) and adolescent gender. Methods: Data were collected from 405 mothers and adolescents (203 boys, Mean_age = 12.23) across five cities (Beijing, Hebei, Shanxi, Shenzhen, and Shandong) in China, who completed self-report measures of maternal parenting stress and internalizing problems. Descriptive statistics and multiple regression analyses were… More >

Melita Srpak¹, Darko Pavlovic², Predrag Brlek^3,*, Nikola Kozul³

Energy Engineering, DOI:10.32604/ee.2026.075211

Abstract Discussions about the future of energy sources and environmental sustainability are becoming critical on a global scale. The energy sector plays a central role in the economy, as the availability and cost of energy influence the competitiveness of economies, while the level of energy consumption impacts the standard of living for individuals. This paper aims to examine environmental challenges and steps for a sustainable transition towards a hydrogen economy, focusing on its potential as an alternative to fossil fuels and the importance of developing the hydrogen paradigm. The research methodology is based on a combination… More >

Xiaoming Yu¹, Peng Wang¹, Jun Wang¹, Zhijun Chen¹, Ke Zhang¹, Duicheng Zhao², Jiapeng Shen², Chuyang Wang^2,*, Li Zhang²

Energy Engineering, DOI:10.32604/ee.2026.073475

Abstract Electrolytic capacitors in Modular Multilevel Converter-based Unified Power Flow Controllers (MMC-UPFC) are prone to parameter degradation, significantly affecting system reliability. Accurate identification of their degradation parameters—capacitance (C) and equivalent series resistance (ESR)—is essential for equipment health management. This study proposes a non-intrusive degradation parameter identification method for electrolytic capacitors in MMC-UPFC full-bridge submodules based on digital twin technology and an improved intelligent optimization algorithm. First, the degradation mechanism of electrolytic capacitors under long-term operational conditions is systematically analyzed. Second, a high-fidelity digital twin model integrating the main circuit, sampling circuit, and modulation circuit of the… More >

Victor Leiva^1,2,*, Carlos Martin-Barreiro^3,*, Viviana Giampaoli⁴

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.074800

Abstract Mortality prediction in respiratory health is challenging, especially when using large-scale clinical datasets composed primarily of categorical variables. Traditional digital twin (DT) frameworks often rely on longitudinal or sensor-based data, which are not always available in public health contexts. In this article, we propose a novel proto-DT framework for mortality prediction in respiratory health using a large-scale categorical biomedical dataset. This dataset contains 415,711 severe acute respiratory infection cases from the Brazilian Unified Health System, including both COVID-19 and non-COVID-19 patients. Four classification models—extreme gradient boosting (XGBoost), logistic regression, random forest, and a deep neural… More >