Xianghui Li^1,2, Xin Fu³, Libo Pan², Fancong Zeng^1,2,*, Zhijiang Zuo^1,2

Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2025.073124

Abstract The present study proposes an autonomous visual inspection system based on Wall-Climbing Robot (WCR), with a view to addressing the shortcomings of traditional building crack detection methods, namely their low measurement accuracy, high manual dependence and insufficient environmental adaptability. The system has been developed to construct a crack recognition model with robust illumination adaptation by fusing the improved YOLOv5s target detection algorithm with the Canny edge enhancement algorithm. The system has been realized as a lightweight deployment on an embedded device (MaixCAM). The robot platform employs a design scheme integrating a dual-chamber negative pressure adsorption… More >

Xinyang Li^1,2,3,#, Luyuan Ma^1,2,3,#, Chuan Shen^1,2,3, Ruolan Gu^1,2,3, Shilong Dong^1,2,3, Mingjie Liu^1,2,3, Ying Xiao^1,2,3, Wenpeng Liu^1,2,3, Yuexia Liu^1,2,3, Caiyan Zhao^1,2,3,*

Oncology Research, DOI:10.32604/or.2025.073179

Abstract Background: Hepatocellular carcinoma (HCC) is an aggressive and lethal malignancy. Metabolic reprogramming dynamically remodels the tumor microenvironment (TME) and drives HCC progression. This study investigated the mechanism through which metabolic reprogramming remodels the TME in HCC. Methods: HCC patient transcriptome data were subjected to bioinformatics analysis to identify differentially expressed genes and immune infiltration status. Immunohistochemical analysis was performed to determine the correlation between succinate dehydrogenase complex subunit A (SDHA) expression and M2 macrophage infiltration. SDHA-knockdown or SDHA-overexpressing HCC cells were used for in vitro experiments, including co-culturing, flow cytometry, and enzyme-linked immunosorbent assay. Western blotting… More >

Tena Šimunjak^1,*, Bernardica Jurić², Andro Košec^3,4, Vladimir Bedeković^3,4

Oncology Research, DOI:10.32604/or.2025.072100

Abstract Background: Collision medullary and papillary thyroid carcinoma (MTC/PTC) is a rare entity, constituting less than 1% of all thyroid malignancies. The concurrent presence of these malignancies in patients with autoimmune thyroid disease, such as Graves’ disease, is even more uncommon. Calcitonin (Ctn) is considered one of the key MTC biomarkers. Mixed tumors may alter this relationship. Case Description: We report the case of a 55-year-old female with a history of Graves’ disease, who underwent total thyroidectomy for persistent dysthyroid orbitopathy. Histopathological analysis revealed a 9-mm collision MTC/PTC tumor in the left thyroid lobe, confirmed through More >

Muhammad Ilham Aulia¹, Alifah Syahfitri¹, Imam Busyra Abdillah¹, Abdus Syukur¹, Dede Hermawan^1,*, Rita Kartika Sari¹, Mahdi Mubarok¹, Muhammad Adly Rahandi Lubis², Sukma Surya Kusumah², Sarah Augustina², Jajang Sutiawan^2,*

Journal of Renewable Materials, DOI:10.32604/jrm.2025.02025-0160

Abstract Citric acid adhesive is an alternative to formaldehyde-based adhesives that are more environmentally friendly because they are non-toxic and made from natural ingredients. This study aims to determine the effect of variations in citric acid adhesive concentrations on the physical and mechanical properties of jabon plywood. This study used citric acid adhesive with variations in citric acid (CA) concentrations of 59%, 69%, and 79%. Physical property tests include density, moisture content (MC), water absorption (WA), thickness expansion (TS), and delamination, while mechanical tests include modulus of rupture (MOR), modulus of elasticity (MOE), and shear stress… More >

Eun Hae Lee^1,2,3, Minjae Choi^4,5, Hanul Park^3,6, Joon Hee Han^3,6,7, Sujeong Yu^3,8, Joshua Kirabo Sempungu^1,2,3,6, Inbae Sohn^4,6, Yo Han Lee^3,6,*

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2025.073735

Abstract Background: That Central and Eastern Europe and Central Asia (CEECA) experienced a major mortality crisis in the 1990s is a well-established finding, with most analyses focusing on singular causes like alcohol-related deaths. However, the utility of the integrated “deaths of despair” framework, which views alcohol, drug, and suicide deaths as a unified socio-economic phenomenon, remains under-explored in this context. Crucially, the long-term evolution of the composition of despair within the region remains a largely unexplored area of inquiry. Therefore, this study aims to analyze the long-term trends, changing composition, and regional heterogeneity of deaths from despair… More >

Mengjie Wang¹, Jingfa Li^2,*, Bo Yu², Nianrong Wang³, Xiaofeng Wang³, Tao Hu⁴

FDMP-Fluid Dynamics & Materials Processing, DOI:10.32604/fdmp.2025.071675

Abstract The adaptation of existing natural gas pipelines for hydrogen transportation has attracted increasing attention in recent years. Yet, whether hydrogen and natural gas stratify under static conditions remains a subject of debate, and experimental evidence is still limited. This study presents an experimental investigation of the concentration distribution of hydrogen–natural gas mixtures under static conditions. Hydrogen concentration was measured using a KTL-2000M-H hydrogen analyzer, with a measurement range of 0–30% (by volume), an accuracy of 1% full scale (FS), and a resolution of 0.01%. Experiments were conducted in a 300 cm riser, filled with uniformly… More >

Yansen Sun^1,2, Yi Ding³, Hualei Cui⁴, Yuanchao Hui⁵, Yupeng He^1,2,*

Energy Engineering, DOI:10.32604/ee.2025.072860

Abstract Integrated energy systems (IES) are pivotal for achieving low-carbon transitions, yet their optimization under carbon constraints remains challenging. This paper proposes an optimal scheduling model for IES that synergistically combines power-to-gas coupled with carbon capture systems (P2G-CCS) and hydrogen-blended natural gas under a tiered carbon trading mechanism. The model innovatively refines the P2G process into two stages (electrolysis and methanation), utilizing methanation reaction heat to enhance efficiency. It further incorporates hydrogen blending into gas turbines and boilers and implements a tiered carbon trading mechanism to constrain emissions. The objective is to minimize total costs, including… More >

Luyao Liu^*, Xiao Liao, Yiqian Li, Shaofeng Zhang

Energy Engineering, DOI:10.32604/ee.2025.072631

Abstract Data center industries have been facing huge energy challenges due to escalating power consumption and associated carbon emissions. In the context of carbon neutrality, the integration of data centers with renewable energy has become a prevailing trend. To advance the renewable energy integration in data centers, it is imperative to thoroughly explore the data centers’ operational flexibility. Computing workloads and refrigeration systems are recognized as two promising flexible resources for power regulation within data center micro-grids. This paper identifies and categorizes delay-tolerant computing workloads into three types (long-running non-interruptible, long-running interruptible, and short-running) and develops… More >

Lei Zheng^1,*, Hong Pan^2,3, Yuelei Ruan^2,4, Guoxin Zhang¹, Lei Zhang^1,*, Jianda Xin¹, Zhenyang Zhu¹, Jianyao Zhang^2,5, Wei Liu¹

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.074651

Abstract As a critical material in construction engineering, concrete requires accurate prediction of its outlet temperature to ensure structural quality and enhance construction efficiency. This study proposes a novel hybrid prediction method that integrates a heat conduction physical model with a multilayer perceptron (MLP) neural network, dynamically fused via a weighted strategy to achieve high-precision temperature estimation. Experimental results on an independent test set demonstrated the superior performance of the fused model, with a root mean square error (RMSE) of 1.59°C and a mean absolute error (MAE) of 1.23°C, representing a 25.3% RMSE reduction compared to More >

Yingying Zhou, Wenlong Shen, Tianzhe Jiao, Chaopeng Guo, Jie Song^*

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.074378

Abstract As consortium blockchains scale and complexity grow, scalability presents a critical bottleneck hindering broader adoption. This paper meticulously extracted 150 primary references from IEEE Xplore, Web of Science, Google Scholar, and other reputable databases and websites, providing a comprehensive and structured overview of consortium blockchain scalability research. We propose a scalability framework that combines a four-layer architectural model with a four-dimensional cost model to analyze scalability trade-offs. Applying this framework, we conduct a comprehensive review of scaling approaches and reveal the inherent costs they introduce. Furthermore, we map the artificial intelligence (AI)-enabled methods to the More >