Pujin Wang^1,2,3, Guofa Ji^1,2,3,*, Wenwei Zhao^1,2,3, Liangping Yi⁴

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2026.078171 - 27 April 2026

Abstract In multi-cluster horizontal well fracturing, non-uniform propagation due to inter-cluster interference severely limits the effectiveness of reservoir stimulation. This study employs the discrete lattice method for numerical simulation, investigating the influence of cluster spacing, fracturing fluid injection rate, and horizontal stress difference on fracture propagation morphology by monitoring, in real time, the dynamic changes in flow pressure, flow rate, and fluid intake volume for each cluster. The results indicate that the stress shadow effect is the fundamental cause of non-uniform fracture propagation. Cluster spacing is a key parameter controlling the maximum flow pressure difference between… More >

Aimable Ngendahayo^1,*, Adrià Junyent-Ferré², Joan Marc Rodriguez Bernuz³

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2026.077594 - 27 April 2026

Abstract Bugesera, a historically drought-prone region in Rwanda, is undergoing transformation through investment in modern irrigation and sustainable agricultural practices. However, extending the national electrical grid to numerous dispersed smallholder farms poses a major challenge. The persistent water scarcity and rising conventional energy costs necessitate the development of innovative and sustainable solutions. This study investigates the use of photovoltaic (PV) pumping systems as a green energy alternative for off-grid rural areas, supporting both agricultural irrigation and domestic water supply. A model system serving five one-hectare market-gardening plots and 25 inhabitants was analyzed, with a total daily… More >

Fukang Zhang, Yang Wang^*, Runtian Tang, Zhixin Yun

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2026.077390 - 27 April 2026

Abstract The large-scale integration of electric vehicle (EV) and exchange stations (EC) into distribution networks introduces strong spatiotemporal load fluctuations and charging capacity constraints, leading to frequent voltage violations and reduced control flexibility. Traditional centralized control approaches face critical limitations, including high communication latency and computational complexity. To address these challenges, this paper proposes a Hybrid Intelligence (HI)-driven framework for distribution networks, which explicitly considers EV/EC charging power limits, cluster-level resource balance, and voltage security constraints. By incorporating spatiotemporal characteristics with intelligent optimization techniques, a Variant Monte Carlo Sampling (VMCS) algorithm is developed to generate the… More >

Junwei Zhang¹, Pei Liu¹, Huihang Li¹, Guokang Huang¹, Bozheng Yuan¹, Wenjing Wei¹, Xiaoshun Zhang^2,*

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2025.072462 - 27 April 2026

Abstract Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive framework to assess their carbon reduction potential (CRP) by integrating electricity usage behavior analysis and dynamic carbon emission factor (DCEF) prediction. HECEs are classified into “electricity reduction” and “electricity transfer” categories based on load characteristics, enabling tailored optimization strategies. The framework employs machine learning to predict DCEFs, capturing real time variations in grid carbon intensity. A low carbon optimization model is then formulated to minimize emissions while adhering to production requirements and grid constraints, solved… More > Graphic Abstract

Farzana Yasmeen^1,#, Abdul Manan^1,#,*, Wook Kim¹, Sangdun Choi^1,2,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.076072 - 22 April 2026

Abstract Objectives: Vascular endothelial growth factor receptor 2 (VEGFR2) is a critical therapeutic target in hepatocellular carcinoma (HCC) due to its role in angiogenesis and tumor progression. While several inhibitors are currently used, clinical utility is often limited by resistance and adverse effects, necessitating the discovery of novel therapeutic agents. The aim of this study was to identify and characterize novel, highly effective VEGFR2 inhibitors using an integrated computational pipeline to advance the development of new HCC treatments. Methods: A comprehensive dataset from the ChEMBL database was curated and standardized for Quantitative Structure-Activity Relationship (QSAR) modeling.… More > Graphic Abstract

Simone Tammaro¹, Francesco Di Fiore², Felice Crocetto³, Celeste Manfredi^1,*, Claudia Collà Ruvolo³, Gianluigi Califano³, Biagio Barone⁴, Davide Arcaniolo¹, Lorenzo Spirito¹, Francesco Paolo Calace², Pasquale Reccia², Ferdinando Fusco¹, Marco De Sio¹, Raffaele Balsamo²

Canadian Journal of Urology, Vol.33, No.2, pp. 249-259, 2026, DOI:10.32604/cju.2025.072617 - 20 April 2026

Abstract Background: Thulium laser vaporization of the prostate (ThuVAP) is an established treatment for benign prostatic obstruction, but its impact on urodynamic parameters remains poorly defined. This study aimed to quantify the de-obstructive efficacy of ThuVAP through pre- and postoperative urodynamic comparisons and to assess the relationship between urodynamic improvement and symptom relief. Methods: In a prospective single-center cohort (June 2022–June 2024), men with urodynamically confirmed obstruction underwent standardized ThuVAP with a 200-W thulium:YAG system. Baseline and 6-month invasive urodynamics and 12-month clinical follow-up were performed. The primary endpoint was the change in the bladder outlet… More >

Yasemin O. Ciftci¹, İlknur K. Durukan¹, Upasana Rani², Peeyush Kumar Kamlesh^3,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.078722 - 09 April 2026

Abstract This study examines the phase-dependent structural, electronic, optical, and thermodynamic characteristics of the cubic, tetragonal, and orthorhombic phases of BaTiO₃ using DFT simulations. Lattice parameters and bulk moduli computed through structural optimizations within the GGA-PBE framework are in good agreement with existing experimental and theoretical studies. All phases exhibit negative formation energies, indicating thermodynamic stability, with the orthorhombic phase being the most stable. Electronic structure calculations reveal indirect band gaps of 2.86, 2.96, and 3.43 eV for the cubic, tetragonal, and orthorhombic phases, respectively. The density of states analysis indicates that O-p states dominate the valence… More >

Xue Wang^1,2, Cen Yang¹, Yonghang Wang¹, Mingming Wang^1,3, Ying Chen⁴, Ping Li^1,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077868 - 09 April 2026

Abstract Tungsten-copper laminated composites are promising materials for high heat-flux applications, but their performance is often limited by interfacial instability caused by the thermal-mechanical mismatch between tungsten and copper. In this study, W/W-30Cu/CuCrZr three-layer composites are fabricated by high-pressure torsion (HPT) processing. Experimental characterization and molecular dynamics (MD) simulations are used to systematically investigate the influence of HPT process parameters and intermediate-layer composition on the evolution of microstructure and mechanical properties. HPT processing significantly refines the grains of the W-xCu composites and enhances their homogeneity. After applying 15 revolutions of HPT on W-30Cu composites, the crystallite… More >

Jiajia Liu^1,2, Shuchen Pang³, Peng Xie³, Haitao Zhou³, Chenxi Du³, Haoran Hu³, Bo Tang³, Jianhua Liu³, Fei Jia¹, Huibing Zhang^1,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077824 - 09 April 2026

Abstract In the unmanned aerial vehicle (UAV) assisted edge computing system, the broadcast characteristics of the UAV signal, the high mobility of the UAV, and the limited airborne energy make the task offloading strategy face challenges such as increased risk of information disclosure, limited computing resources, and the trade-off between energy consumption and flight time. To address these issues, we propose a K-means in-depth reinforcement learning algorithm based on Soft Actor-Critic (SAC). The proposed method first leverages the K-means clustering algorithm to determine the optimal deployment of ground jammers based on the final distribution of mobile… More >

Xu Chen, Li Yang^*, Guohao Qiu

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077513 - 09 April 2026

Abstract Traffic prediction plays a crucial role in the efficient operation of satellite networks. However, due to resource consumption arising from redundant training of multiple individual prediction models, the dynamic and coupled spatial-temporal relationship of traffic, and maintenance of accurate traffic proportions, this problem is non-trivial to solve. Therefore, we consider this problem and makes the following contributions. First, a multi-granularity traffic prediction framework based on a shared feature extraction is designed to jointly predict total network traffic and service-specific traffic of satellite networks. This design ensures that both global and per service predictions benefit from… More >