Dawar Asfandyar Khan, Yanyu Chen, Haokang Zhang, Yu Wang^*

Frontiers in Heat and Mass Transfer, Vol.24, No.4, 2026, DOI:10.32604/fhmt.2026.083157 - 31 August 2026

Abstract Efficient thermal management of high heat flux systems is critical in modern electronic and energy devices. Spray cooling, with its high heat removal capability and uniform surface cooling, is widely recognized as an effective technique. Extensive studies have explored spray cooling using water and other working fluids, focusing on droplet dynamics, surface wetting, and heat transfer enhancement. However, the influence of low-concentration alcohol additives on spray cooling performance and evaporation dynamics remains insufficiently understood. This work systematically investigates the non-monotonic heat-transfer behaviour by varying spray height, flow rate, and heat input individually, focusing on the… More >

Shuting Zhao, Yuzhuo Yan, Feisal Mohamed Osman, Qiang Zhang, Zexin Qi, Zhian Zhang, Fenglou Ling^*, Xiao Han^*

Phyton-International Journal of Experimental Botany, Vol.95, No.8, 2026, DOI:10.32604/phyton.2026.087517 - 28 August 2026

Abstract Excessive nitrogen fertilizer application increases production costs and environmental burdens in rice cultivation, highlighting the need to identify low-nitrogen-tolerant germplasm. In this study, 266 rice accessions were evaluated in hydroponic culture for 35 d under normal-nitrogen conditions (NN: 1.6 mM NO₃⁻ and 1.6 mM NH₄⁺) and low-nitrogen conditions (LN: 0.4 mM NO₃⁻ and 0.4 mM NH₄⁺). Fifteen seedling traits related to growth, chlorophyll status, nitrogen accumulation, and nitrogen utilization were measured, and the corresponding low-nitrogen tolerance indices were evaluated using correlation analysis, principal component analysis (PCA), membership-function analysis, and cluster analysis. All measured traits had coefficients of… More >

Yu-Feng Yu^1,*, Xiaoying Tan¹, Qirong Wu¹, Guoxia Xu²

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.2, 2026, DOI:10.32604/cmes.2026.085413 - 28 August 2026

Abstract To tackle critical visual tracking difficulties arising in UAV tracking tasks, including frequent target occlusion and abrupt fast motion during high-altitude inspection, we propose an adaptive correlation filter tracking algorithm incorporating a motion smoothing module and adaptive residual regularization, named MACF. The tracker is constructed via multi-strategy fusion of two elaborately designed components at the algorithmic modeling level. First, we design a Motion Smoothing Module (MSM) that conducts weighted fusion of historical motion trends in the modeling pipeline. It suppresses search window jitter arising from instantaneous positioning errors and lowers target drift risk by providing More >

Dongjie Tan¹, Xiaoyu Yang², Xinxin Cao^3,*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081510 - 24 August 2026

Abstract Interfacial adhesion failure is the primary limiting factor in the long-term durability of epoxy-emulsified asphalt micro-surfacing pavements. However, while digital image correlation (DIC) has been extensively applied to evaluate the bulk fatigue of traditional hot-mix asphalt and concrete, its specific application to the complex bi-material interface between rigid concrete substrates and cold-mixed, thermosetting epoxy-asphalt overlays remains limited. Consequently, current research lacks real-time data on full-field strain evolution and the transitional damage localisation mechanisms during dynamic fatigue processes under extreme temperature gradients. To this goal, three-point bending fatigue tests were performed at various temperatures (ranging from… More >

Maksim Iavich¹, Nursulu Kapalova², Kunbolat Algazy^2,*

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.085904 - 13 August 2026

Abstract Lattice-based post-quantum cryptographic standards such as Module-Lattice Key Encapsulation Mechanism (ML-KEM) and Module-Lattice-Based Digital Signature Algorithm (ML-DSA) have demonstrated documented susceptibility to power-based side-channel attacks even when protected by higher-order arithmetic masking. Concurrently, hash-based and Verkle-tree digital signature schemes lack a systematic analysis of their physical-layer attack surface. This paper closes both gaps by introducing a Verkle-tree digital signature scheme incorporating multiple complementary countermeasures: (i) arithmetic masking of lattice-based Short Integer Solution (SIS) vector commitments, (ii) a counter-mode deterministic random bit generator (CTR_DRBG) seeded by a hardware quantum random number generator (QRNG), and (iii) an… More >

Yuzhi Tao¹, Anhui Tan^2,*

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.085488 - 13 August 2026

Abstract Partial multi-label learning addresses scenarios where each instance is associated with a set of candidate labels that include both relevant and irrelevant ones. In practical scenarios, such label sets are often simultaneously incomplete and noisy, which severely hampers the ability of models to extract compact and discriminative features. To address these issues, we propose an integrated learning paradigm that simultaneously enhances feature compactness and improves robustness against label noise. Our method learns an adaptive fuzzy neighborhood graph to capture the intrinsic relationships among instances. The resulting graph enables reliable label propagation, which effectively rectifies incorrect More >

Yusuf Ahmed Yusuf^1,2,3, Helmi Zulhaidi Mohd Shafri^1,3,*, Kamil Muhammad Kafi^4,5,*, Siti Nur Aliaa Roslan^1,3, Jibrin Gambo^3,6

Revue Internationale de Géomatique, Vol.35, pp. 491-508, 2026, DOI:10.32604/rig.2026.084692 - 07 August 2026

Abstract Urbanization alters land surface characteristics, intensifies urban heat, and degrades air quality, posing significant environmental and public health challenges. This study investigated the relationship between urban land surface temperature (LST) and air pollution in Kano Metropolis, Nigeria, using Earth observation data, geospatial techniques, and correlation analysis. Land use/land cover (LULC) analysis revealed that built-up areas account for 67.4% of the metropolitan area, contributing to elevated land surface temperatures, particularly within the densely urbanized local government areas of Kano Municipal, Gwale, Ungogo, Dala, and Fagge, as demonstrated by the LST and Urban Heat Island (UHI) analyses.… More >

Kewen Li, Xiaoyong Yu, Shifeng Ou^*, Jueming Pan

Energy Engineering, Vol.123, No.9, 2026, DOI:10.32604/ee.2025.073825 - 06 August 2026

Abstract The increasing integration of renewable energy sources (e.g., wind and solar power) into distribution grids and the development of new, source–grid–load–storage coordinated power systems have led to a substantial expansion in the volume of situational awareness data in the distribution networks. Moreover, the transmission of low-voltage distribution measurement data via a power line carrier (PLC) is often susceptible to packet loss and, consequently, data gaps. To address these issues, this paper proposes a data completion method using a conditional generative adversarial network (CGAN) integrated with a three-dimensional convolutional neural network (3D-CNN). This approach leverages the… More >

Yi Shen^1,2,3,#, Zeye Liu^4,#, Jing Xie^5,#, Xuanqi An^6,7,8,#, Zeyu Jing^1,2,3, Wenchuan Liao^1,2,3, Yifan Zhu^1,2,3, Chenyu Jiang^1,2,3, Xingliang Zhou^1,2,3, Xu Huang^1,2,3, Tianyu Liu^1,2,3, Jian Liu^1,2,3, Yuxi Ji^1,2,3, Yi Yan^1,3, Bei Feng^1,3, Yiwei Liu^1,2,3, Yi Shi^4,*, Yanjun Sun^2,*, Hao Zhang^1,2,3,*

Structural and Congenital Heart Disease, Vol.21, No.3, 2026, DOI:10.32604/schd.2026.085942 - 31 July 2026

Abstract Background: Congenital heart disease (CHD) is the most common congenital anomaly worldwide, yet the contribution of environmental factors to its global geographic variation remains incompletely understood. We aimed to systematically identify environmental factors associated with CHD incidence using an integrated framework combining machine learning and spatial epidemiology. Methods: Country-level data were obtained from the Global Burden of Disease (GBD) 2021 study. Boruta algorithm-based feature selection and random forest SHAP value ranking were applied to identify environmental factors associated with CHD incidence. Negative binomial regression was used to evaluate the associations between selected variables and CHD incidence.… More >

Beatrice Sani^1,2, Alessandro Cignetti², Marta Leporati³, Sara Sommariva⁴, Marco Armenio¹, Valerio Tenace⁵, Arianna Savi², Johanna Umurungi^1,2, Giovanni Fornari^1,2, Simone Busso³, Alessandra Canevaro³, Igor Bisognin³, Silvia Marini¹, Michele Piana⁴, Daniela Cilloni^1,2, Valentina Gaidano^2,*

Oncology Research, Vol.34, No.8, 2026, DOI:10.32604/or.2026.078245 - 16 July 2026

Abstract Objectives: Venetoclax (VEN) is approved for acute myeloid leukemia (AML) in association with azacitidine, in a 28-day schedule at a fixed dosage, which requires reduction if azoles are co-administered. The present study aims to evaluate VEN therapeutic drug monitoring (TDM) in a real-word setting, where the VEN schedule is frequently reduced, investigating: (i) the posaconazole impact, and (ii) whether VEN exposure correlates with safety and efficacy. Methods: We analyzed data from 43 AML patients treated with different VEN-containing regimens, for whom a near-trough VEN plasma concentration (Cmin) was determined at different timepoints (days 5-8-11-15-22-29) across different cycles… More >