Yang Liu¹, Yinguo Yang¹, Pingping Xie¹, Qiuyu Lu¹, Yue Chen¹, Zhanpeng Xu^2,*, Zejie Huang²

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2025.068436 - 27 April 2026

Abstract With the large-scale integration of wind and solar energy into the power grid, the power system is facing uncertainty challenges in multiple links, such as source, grid, and load. How to efficiently dispatch flexible resources, such as energy storage, has become an urgent problem to be solved. To this end, this paper considers the correlation between new energy stations due to natural conditions, uses Vine-Copula theory to describe the correlation characteristics of the output of multiple new energy stations, and proposes a wind solar new energy output scenario generation method based on Vine-Copula theory; Then,… More >

Yuzhe Gu¹, Wenwu Wang^1,2, Guanggen Zeng^1,2, Xia Hao^2,3, Lili Wu^1,2, Jingquan Zhang^1,2,*

Chalcogenide Letters, Vol.23, No.3, 2026, DOI:10.32604/cl.2026.079159 - 03 April 2026

Abstract Doping the absorber layer is a critical process for enhancing the performance of polycrystalline CdSeTe solar cells. Replacing traditional Cu doping with Group V dopants offers a pathway to fabricate devices with improved efficiency and stability. However, the dopant activation rate in polycrystalline structures remains low, typically only a few percent. While rapid thermal annealing (RTA) has been successfully employed to achieve high activation rates in single-crystal CdTe devices, its application to polycrystalline CdSeTe solar cells has been scarcely reported. In this study, we systematically applied multi-step annealing to investigate the dopant activation of in-situ As-doped More > Graphic Abstract

Chang He^#, An Wang^#, Youbo Wang^#, Qinyun Ma^*, Xiaofeng Chen^*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.074880 - 23 March 2026

Abstract Objectives: Combined chemotherapy and photothermal therapy (PTT) represents a promising approach for enhancing cancer treatment efficacy. This study aimed to develop arsenic trioxide (ATO) and poly(cyclopentadithiophene-alt-benzothiadiazole) (PCPDTBT)-loaded nanoparticles (ATO/PCPDTBT@NPs) to evaluate their synergistic efficacy in inhibiting lung cancer growth and metastasis. Methods: Nanovesicles were synthesized via a streamlined protocol and subjected to 808 nm NIR irradiation to assess their photothermal conversion capabilities. The therapeutic efficacy was evaluated in vitro using A549 lung carcinoma cells to assess apoptosis, invasion, and migration, and in vivo to monitor tumor volume reduction. Results: The nanoparticles exhibited excellent hemocompatibility and low cytotoxicity while More >

Goodness Adediran¹, Kenny Awuson-David², Yussuf Ahmed^1,*

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.077606 - 12 March 2026

Abstract Amazon Web Services (AWS) CloudTrail auditing service provides detailed records of operational and security events, enabling cloud administrators to monitor user activity and manage compliance. Although signature-based threat detection methods have been enhanced with machine learning and Large Language Models (LLMs), these approaches remain limited in addressing emerging threats. This study evaluates a two-step Retrieval Augmented Generation (RAG) approach using Gemini 2.5 Pro to enhance threat detection accuracy and contextual relevance. The RAG system integrates external cybersecurity knowledge sources including the MITRE ATT&CK framework, AWS Threat Technique Catalogue, and threat reports to overcome limitations of… More >

Yiming Yu¹, Yunfei Guo², Junchen Liu³, Yiping Sun⁴, Junliang Du^5,*

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2025.074959 - 12 March 2026

Abstract Graph neural networks (GNNs) have shown notable success in identifying security vulnerabilities within Ethereum smart contracts by capturing structural relationships encoded in control- and data-flow graphs. Despite their effectiveness, most GNN-based vulnerability detectors operate as black boxes, making their decisions difficult to interpret and thus less suitable for critical security auditing. The information bottleneck (IB) principle provides a theoretical framework for isolating task-relevant graph components. However, existing IB-based implementations often encounter unstable optimization and limited understanding of code semantics. To address these issues, we introduce ContractGIB, an interpretable graph information bottleneck framework for function-level vulnerability More >

Yasir Nawaz¹, Nabil Kerdid², Muhammad Shoaib Arif³, Mairaj Bibi^4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2026.077616 - 26 February 2026

Abstract A high-order hybrid numerical framework is developed by coupling a three-stage exponential time integrator with a Runge–Kutta scheme for the efficient solution of partial differential equations involving first-order time derivatives. The proposed scheme attains third-order temporal accuracy and is rigorously validated through stability and convergence analyses for both scalar and coupled systems. Its effectiveness is demonstrated by simulating unsteady Eyring-Prandtl non-Newtonian nanofluid flow over a Riga plate with coupled heat and mass transfer under electromagnetic actuation. The physical model accounts for Brownian motion and thermophoresis, and the nanofluid considered is a Prandtl-type non-Newtonian base fluid… More >

Mangyu Lee^1,#, Jaekyun Jeong^2,#, Yun Wook Choo³, Keejun Han⁴, Jungeun Kim^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2026.074428 - 26 February 2026

Abstract Domain adaptation aims to reduce the distribution gap between the training data (source domain) and the target data. This enables effective predictions even for domains not seen during training. However, most conventional domain adaptation methods assume a single source domain, making them less suitable for modern deep learning settings that rely on diverse and large-scale datasets. To address this limitation, recent research has focused on Multi-Source Domain Adaptation (MSDA), which aims to learn effectively from multiple source domains. In this paper, we propose Efficient Domain Transition for Multi-source (EDTM), a novel and efficient framework designed… More >

Md. Al-Hasan¹, Mst. Rubina Aktar², Fahmid Al Farid^3,4,*, Md. Shamim Anower⁵, Abu Saleh Musa Miah^1,6, Md. Hezerul Abdul Karim^4,*

CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.071280 - 10 February 2026

Abstract The rapid growth in available network bandwidth has directly contributed to an exponential increase in mobile data traffic, creating significant challenges for network energy consumption. Also, with the extraordinary growth of mobile communications, the data traffic has dramatically expanded, which has led to massive grid power consumption and incurred high operating expenditure (OPEX). However, the majority of current network designs struggle to efficiently manage a massive amount of data using little power, which degrades energy efficiency performance. Thereby, it is necessary to have an efficient mechanism to reduce power consumption when processing large amounts of… More >

Junyan Tian¹, Qingyuan Zhang¹, Lili Wu^1,2,*, Xia Hao^1,2, Guanggen Zeng¹, Wenwu Wang¹, Jingquan Zhang^1,2

Chalcogenide Letters, Vol.23, No.1, 2026, DOI:10.32604/cl.2026.076362 - 26 January 2026

Abstract The incorporation of the Se element in CdTe solar cells is critical, while the low bandgap CdSe_xTe_1−x, formed by the interdiffusion of CdTe and CdSe during device preparation, can promote the carrier lifetime. Different window layers formed by CdSe w/o MZO or CdS have different Se distributions. This paper systematically evaluates the influence of four types of window layers (CdSe, CdS/CdSe, MZO/CdSe and MZO/CdS/CdSe) on the performance of CdTe solar cells, and focuses on the correlation between the window layers and the Se distribution characteristic, carrier recombination mechanism, and device efficiency. The results show that CdSe… More >

Rebecca H. Maggs^*, Marcus J. Brookes, Kenneth S. Rankin

Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.069781 - 19 January 2026

Abstract Background: Photodynamic therapy (PDT) may eradicate residual malignant cells following sarcoma resection, through reactive oxygen species (ROS) mediated cytotoxicity, thus improve clinical outcomes. This study aims to assess the efficacy of 5-aminolevulinic acid (5-ALA) as a photosensitizer in combination with red light (RL) for PDT of bone sarcoma cells in vitro. Methods: Three bone sarcoma cell lines underwent treatment with 5-ALA and RL or sham-RL (SL). 5-ALA uptake was assessed using flow cytometry. Production of ROS was measured using CellROX Green staining and fluorescence microscopy. Cell viability was assessed using Cell Counting Kit-8 assays. Results: All cell… More >