Ching-Lung Fan^*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081046 - 24 August 2026

Abstract Quality attainment in public construction projects is paramount for effective project management. This study employs Principal Component Analysis (PCA) in the initial phase to discern noncollinear critical defects from inspections across 1015 projects. The identified components are categorized into three aspects: Inspection Records and Occupational Safety and Health (Aspect I), Concrete Quality (Aspect II), and Construction Team Quality Management (Aspect III). Subsequently, a Multilayer Perceptron (MLP) network, trained on 13 PCA-identified critical defects, transforms input data into a probability, indicating project quality. The MLP model exhibits exceptional performance with 91.3% accuracy, 90.2% precision, and 96.1% More >

Chao Zhang, Yunfeng Dong^*

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.083353 - 13 August 2026

Abstract The missile warning constellation is fundamental to national territorial security and has significant strategic and military value. This study proposes a two-stage, nested co-optimization framework with adaptive evolutionary operators, termed TNC-A, to address challenges in genetic representation, evaluation distortion, the curse of dimensionality, and search inefficiency within the co-optimization of component-level constellation morphology and mission planning. A hybrid encoding scheme combining tree-structured and real-valued vector representations was adopted to encode all optimization variables, including constellation configuration, component-level unified platform information, and mission planning parameters. Second, a multi-stage optimization strategy integrated with a double-nested structure was More >

Jinxiu Song¹, Zhixin Li², Wenwen Di², Qiaoshuo Hou², Xiaoming Song¹, Long Wang³, Qi Liu², Zejin Zhang⁴, Zhengnan Yan^2,*

Phyton-International Journal of Experimental Botany, Vol.95, No.7, 2026, DOI:10.32604/phyton.2026.086028 - 30 July 2026

Abstract Blue light and ultraviolet-A (UV-A) radiation are critical light-quality regulators that coordinately modulate plant growth and quality in protected horticulture. However, their interactive effects on celery (Apium graveolens L.) remain inadequately characterized. In the present study, we quantified the individual and combined impacts of supplemental UV-A and blue light on the growth, biomass accumulation, photosynthetic performance, and nutritional quality of celery (cv. Dayehuang) in a plant factory with artificial lighting. Our results demonstrated that sole UV-A or blue light application significantly increased biomass, nutritional quality, and light use efficiency (LUE) of celery. Notably, combined supplementation with… More >

Ikenna D. Arungwa^1,2,*, Elochukwu C. Moka²

Revue Internationale de Géomatique, Vol.35, pp. 423-459, 2026, DOI:10.32604/rig.2026.083164 - 29 July 2026

Abstract This study utilized nearly two decades of temporal gravity field observations from the Gravity Recovery and Climate Experiment (GRACE/GRACE-FO) satellite missions to analyze the spatial and temporal variations of terrestrial water storage (TWS) and groundwater storage (GWS) in Nigeria. Advanced statistical techniques, including Singular Spectrum Analysis (SSA), Principal Component Analysis (PCA), and Empirical Orthogonal Function (EOF), were applied to characterize and quantify these variations at a basin scale. Results show that TWS exhibits biennial, annual seasonal fluctuations (between ±10 to ±55 mm), reaching its lowest levels during the dry season (February–June) and peaking in the… More >

Jialing Tao, Song Huang^*, Changyou Zheng^*

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.080119 - 23 July 2026

Abstract Background: Jailbreak attacks, which use crafted prompts to bypass safety alignments of Large Language Models (LLMs) and generate harmful content, pose a significant security threat. Existing methods often optimize for a single objective (e.g., attack success rate), neglecting critical factors like query efficiency, which limits their practicality and generalization. Methods: We propose a Componentized Multi-Objective Optimization Framework (CMOOF), which introduces a paradigm shift: it searches for generalizable and query-efficient attack strategy templates within a structured, component-based strategy space. CMOOF leverages the NSGA-II algorithm to explicitly co-optimize two first-class objectives: Attack Success Rate (ASR) and Query More >

Chuan Lin^*, Weixian Chen, Guangtao Hao^*

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.080605 - 12 July 2026

Abstract Accurate building electricity load forecasting (BELF) can provide a regulatory basis for building energy management systems and promote the transition of buildings toward low-carbon and intelligent operation modes. However, building electricity load is influenced by historical loads, as well as outside environmental conditions such as humidity and temperature, which reduces the prediction accuracy of models. To tackle these challenges, this study presents a BELF model, which consists of a modal component grouping approach, grouped feature attention mechanism, and multi-scale residual depthwise convolution memory module. First, the modal component grouping method analyzes building electricity load in… More >

Bo Liu, Xue Li^*

BIOCELL, Vol.50, No.7, 2026, DOI:10.32604/biocell.2026.077797 - 29 June 2026

Abstract Background: As a key glycolytic enzyme, Pyruvate kinase M2 (PKM2), which is highly expressed in cancer cells, promotes hepatocellular carcinoma (HCC) proliferation/metastasis. This research investigates the involvement of Ubiquitin protein ligase E3 component N-recognin 7 (UBR7) in HCC progression/glycolysis and its potential mechanisms. Methods: UBR7 expressions in HHL-5, Huh-7, and HepG2 cells were investigated using Quantitative Reverse Transcription Polymerase Chain Reaction and Western Blot. Cell counting kit-8, clone formation experiment, scratch-wound assay, and transwell testing were conducted to assess the malignant biological behaviors of HepG2 and Huh-7 cells; the absorption level of glucose and generation levels… More >

Ibrahim M. Ibrahim¹, Shadab Md^2,*

BIOCELL, Vol.50, No.7, 2026, DOI:10.32604/biocell.2026.077548 - 29 June 2026

Abstract Gut microbiota-derived exosomes (MDEs) have emerged as a novel class of drug delivery and are secreted by bacteria, fungi, and archaea in the human microbiota within the human intestinal ecosystem and possess inherent biocompatibility and lower immunogenicity, enabling seamless integration within host intestinal and systemic bioenvironments. This review elucidates the cellular and molecular mechanisms governing MDE function, explaining how their unique lipid bilayer composition facilitates cellular entry via receptor-mediated endocytosis and membrane fusion. This review discusses how gut MDEs traverse biological barriers, such as the blood-brain barrier and intestinal mucosa, by modulating tight junction proteins… More > Graphic Abstract

Yu Zhang^1,2,#, Shihan Tan^1,#, Guangyao Lian², Congying Dun³, Qiwei Hu^1,*, Chiming Guo^1,*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.081931 - 15 June 2026

Abstract Gearboxes are critical components in the transmission systems of various mechanical equipment. Subjected to complex and harsh operating conditions for a long time, they suffer from a high failure rate and potentially severe consequences. Traditional fault diagnosis methods are limited by problems such as noise interference, and can hardly meet the requirements in terms of diagnostic accuracy, generalization ability, and reliability. To tackle the deficiencies of traditional gearbox fault diagnosis methods, including insufficient utilization of features, poor generalization under small-sample conditions, and weak model interpretability, this paper proposes a fault diagnosis method based on multi-dimensional… More >

Xiang Li^1,2, Jie Zhang^1,2,*, Yuxin Cheng^1,2, Jiaohao Xie^1,2, Zhaoqi Xiong^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.5, 2026, DOI:10.32604/fdmp.2026.079253 - 27 May 2026

Abstract Current prediction methods for wellbore temperature and pressure in gas storage injection–production wells are commonly based on the simplifying assumption of pure methane, thereby neglecting the multi-component nature of real natural gas and limiting predictive accuracy. To overcome this shortcoming, this study develops a comprehensive model for the coupled temperature and pressure fields in wellbores transporting multi-component natural gas mixtures. The proposed framework explicitly accounts for compositional effects by integrating key thermophysical properties, including density, viscosity, compressibility factor, and Joule–Thomson coefficient, into the governing flow equations, thereby enhancing the fidelity of the ensuing injection and More >