Giada Faraco^*, Andrea Vincenzo De Nunzio, Nicola Ivan Giannoccaro^*, Arcangelo Messina

Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2025.075327

Abstract Damage detection and localization analysis have gained increasing importance over the years, due to the growing number of catastrophic events and the associated risks that small, undetected cracks in structures may evolve into severe failures if not identified in time. In this context, vibration-based methods have been extensively investigated for structural damage detection. Among them, one of the most widely used approaches since its introduction is the curvature method. It has been successfully employed in numerous studies, consistently providing reliable results. However, the use of second-order or higher-order derivatives can be challenging when dealing with… More >

Amy J. Petty^*, Drew A. Emge, Adela R. Cardones

Oncology Research, DOI:10.32604/or.2025.073383

Abstract Skin cancer remains the most commonly diagnosed malignancy worldwide, with basal cell carcinoma (BCC), cutaneous squamous cell carcinoma (cSCC), and melanoma representing the most clinically significant types. While traditional treatments are effective for early-stage disease, advanced or metastatic cases often pose significant therapeutic challenges. Patients with high-risk or recurrent disease face limited options and poor prognoses. The emergence of immunotherapy has dramatically transformed the treatment landscape across multiple cancer types, including cutaneous malignancies. This review highlights recent advancements in immunotherapeutic strategies for BCC, cSCC, and melanoma, underscoring their growing importance in dermatologic oncology. We synthesize More >

Amal F. Gharib¹, Ohud Alsalmi¹, Hayaa M. Alhuthali¹, Afaf Alharthi¹, Saud Ayed Alharthi², Shaimaa A. Alharthi³, Rasha L. Etewa⁴, Wael H. Elsawy^5,*

Oncology Research, DOI:10.32604/or.2025.073051

Abstract Background: Locally advanced laryngeal squamous cell carcinoma (LA-LSCC) presents clinical challenges due to the lack of reliable non-invasive biomarkers. This study aimed to evaluate miR-449a as a diagnostic and prognostic biomarker in LA-LSCC. Methods: miR-449a expression was analyzed in tumor tissues, adjacent normal tissues, and serum from 81 LA-LSCC patients and 50 controls using quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR). We assessed the diagnostic accuracy by Receiver Operating Characteristic curve (ROC curves), clinicopathological associations, survival outcomes (Kaplan-Meier), and treatment response dynamics. Results: miR-449a was significantly downregulated in LA-LSCC tissues (p < 0.0001) and serum (p <… More >

Myeong Ryeo Kim^1,*, Jae Rim Lee¹, Xiaohan Zhang², Kwang Won Jeong^1,*

Oncology Research, DOI:10.32604/or.2025.072592

Abstract Objectives: Tamoxifen is a key drug that provides endocrine therapy for estrogen receptor (ER) α-positive breast cancer; however, resistance remains a significant clinical challenge. This study aims to investigate the molecular mechanisms of tamoxifen resistance in ERα-positive breast cancer, with particular focus on the role of SET Domain Containing 1A (SETD1A)-driven forkhead box A2 (FOXA2) as a key regulator of this resistance. Methods: FOXA2 expression and its regulation by SETD1A were assessed via (quantitative polymerase chain reaction), western blotting, transcriptome profiling, and chromatin immunoprecipitation analyses. The effects of FOXA2 on cell proliferation, migration, invasion, and cancer… More >

Urszula Częścik^1,2,#, Martyna Gryglas³, Arkadiusz Szterk⁴, Sylwia Flis^3,#,*

Oncology Research, DOI:10.32604/or.2025.067449

Abstract Colorectal cancer (CRC) is the third most common malignancy worldwide and the second leading cause of cancer-related deaths, accounting for approximately 10% of all cancer cases. By 2050, CRC incidence is expected to rise substantially, driven by population aging and greater exposure to risk factors in developing countries. Despite advances in medicine and pharmacy, the effectiveness of available treatments remains limited, underscoring the urgent need for innovative therapeutic strategies. This review summarizes and critically evaluates currently available CRC therapies and explores new emerging directions. Particular attention is given to the role of immunotherapy, targeted therapies,… More >

Siti Norasmah Surip¹, Wan Nor Raihan Wan Jaafar^1,*, Jaka Fajar Fatriansyah², Ing Kong³

Journal of Renewable Materials, DOI:10.32604/jrm.2025.02025-0182

Abstract Most studies on kenaf fibre composites focus on the bast due to its higher fibre yield and strength, while the core is often neglected. In this work, Polylactic Acid (PLA) matrix was reinforced with both kenaf bast and core fibres at a 49:1 wt% ratio. The fibres were chemically treated and cryo-crushed to improve bonding and dispersion. Mechanical testing revealed that treated Kenaf Core Composites (KCC) exhibited comparable flexural and impact properties to Kenaf Bast Composites (KBC), with flexural strengths of 46.19 and 46.52 MPa, respectively, and impact strengths of 5.8 and 4.4 J/m. Meanwhile, More >

Nur ‘Aisyah Ar-Raudhoh Mohammad Tahar¹, Muhammad Haziq Mohd Fadzli¹, Siti Nur Liyana Mamauod^1,2,*, Nahrul Hayawin Zainal³

Journal of Renewable Materials, DOI:10.32604/jrm.2025.02025-0177

Abstract The palm oil industry is a major contributor to Malaysia’s economy, but its huge production has generated large amounts of oil palm biomass, particularly palm kernel shell (PKS), which poses environmental challenges if not properly managed. Converting PKS into biochar (PKSB) and activated carbon (APKS) offers a sustainable way to valorise this waste as potential bio-fillers in rubber composites. This study investigates the influence of nano-sized PKSB (n-PKSB) and activated PKS (n-APKS) as bio-fillers on the mechanical performance of natural rubber (NR) vulcanizates, with filler loadings ranging from 0 to 10 parts per hundred rubber… More > Graphic Abstract

Jiaojiao He¹, Qing-en Yu², Yuwei Li^3,*, Jian Li¹

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2025.072905

Abstract Background: Maternal mental health literacy is a cognitive resource that may support preschoolers’ emotional development, yet its influence on emotional regulation and the related mechanisms remains unclear. This study examined whether maternal depressive mood and democratic parenting form a chain pathway linking maternal mental health literacy to preschoolers’ emotional regulation ability. Methods: Mothers of 544 preschoolers in mainland China completed an online questionnaire that assessed maternal mental health literacy, depressive mood, democratic parenting, and child emotional regulation. Structural path analysis was conducted with child age and gender controlled. Indirect effects were tested using 5000 bootstrap samples. Results: More >

Zhengliang Zhang¹, Shijian Wu², Xinna Tang³, Haowen Wu^3,*

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2025.071999

Abstract Objectives: Amid accelerating urbanization, digitalization, and population aging, mental health issues have become increasingly salient among urban community residents. This study aims to examine how community environmental governance influences mental health (MH) by conceptualizing the community environment as comprising social capital (SC) and environmental perception (EP). Aging anxiety (AA) and digital usage tendency (DUT) are introduced as psychosocial background variables to analyze MH pathways under multifactor influences. Methods: Using data from the 2021 Chinese General Social Survey (CGSS), this study constructed a structural equation model (SEM) based on 362 urban residents from the Yangtze River Delta.… More >

Yifeng Wang^1,*, Wei Cui¹, Zhihui Wang², Yanning Xue², Bing Wang²

Energy Engineering, DOI:10.32604/ee.2025.074707

Abstract This paper proposes a photovoltaic (PV) output prediction and trading strategy based on fractal theory. Firstly, rescaled range analysis (R/S analysis) is employed to quantify the fractal characteristics of PV output sequences under different weather conditions. By calculating the Hurst exponent and fractal dimension, the self-similarity patterns and complexity differences are revealed. Secondly, a fractal interpolation prediction method based on the iterated function system is constructed to achieve high-precision fitting of typical daily output curves. Finally, by integrating the fractal prediction results, a trading decision-making model aimed at minimizing daily electricity procurement costs is established, More >