Huo Ye¹, Jiantong Li², Lingna Xu^3,*

Chalcogenide Letters, Vol.23, No.8, 2026, DOI:10.32604/cl.2026.087654 - 18 September 2026

Abstract SF₆ is the primary insulating and arc extinction medium in gas-insulated switchgear (GIS). Sulfur hexafluoride (SF₆) decomposes to create diagnostic markers, such as sulfur dioxide (SO₂), thionyl fluoride (SOF₂), and hydrogen sulfide (H₂S) when electrical problems occur, such as partial discharge and local overheating. Accurate quantification of these fault-marker gases is important for the early identification of insulation defects and the condition assessment of SF₆-insulated equipment. Molybdenum disulfide (MoS₂) is a well-known and atomically thin van der Waals semiconductor that has attracted considerable attention as a platform for gas-sensing applications. This is due to its large accessible surface area,… More >

Ibrahim Khan¹, Sajjad Asaf^1,*, Lubna², Sang-Mo Kang¹, In-Jung Lee^1,*

Phyton-International Journal of Experimental Botany, Vol.95, No.8, 2026, DOI:10.32604/phyton.2026.086203 - 28 August 2026

Abstract Recent efforts in crop improvement have increasingly focused on elucidating molecular-level regulatory mechanisms to develop high-yielding crops with enhanced tolerance to heavy metals (HMs) stress. Omics approaches, including genomics, transcriptomics, proteomics, metabolomics, ionomics, and phenomics, provide comprehensive analyses of plant responses to HMs stress. Genomics identifies stress-responsive genes, transcriptomics reveals dynamic changes in gene expression, proteomics evaluates protein abundance and post-translational modifications, and metabolomics characterize stress-related metabolites. Ionomics elucidates essential mineral dynamics involved in detoxification, while phenomics integrate high-throughput imaging with breeding techniques to evaluate stress resilience. Integration of multi-omics approaches provides a systems-level understanding… More >

Samuel Tremblay^1,#,*, Seyed Sajjad Tabei^2,#, Shima Tayebi³, Benjamin H. Hinrichs⁴, Alon Lazarovich¹, Jason Koehler³, Wei-Wen Hsu⁵, Sadhna Verma³, Abhinav Sidana¹

Canadian Journal of Urology, Vol.33, No.4, pp. 799-810, 2026, DOI:10.32604/cju.2026.075779 - 21 August 2026

Abstract Background: Focal therapy (FT) is an emerging treatment modality for localized prostate cancer. However, limited data are available regarding the patterns of oncologic failure post-FT. This study aims to characterize the features of oncologic failure and salvage strategies following FT. Methods: Patients presenting with pathologic failure (PF) after receiving FT (cryotherapy, High-intensity focused ultrasound, or irreversible electroporation) for intermediate-risk prostate cancer were selected from a prospective registry between 2018 and 2023. All patients underwent protocol-based follow-up, including PSA testing, multiparametric MRI, and mandatory biopsy. The primary outcome was PF, defined as biopsy-confirmed Grade Group ≥2… More >

Jing-Wen Gao^1,2, Yunan He^1,*, Jian Liu^1,*

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.084503 - 23 July 2026

Abstract The unique topological properties of the electronic band structures in topological materials have increasingly attracted attention in both fundamental research and next-generation technological applications. With the rise of machine learning, the connection between topological materials and machine learning has deepened significantly. This review systematically summarizes the interaction between these two fields, tracing the history of their mutual promotion and synergistic development. We further examine the transformative impact of machine learning across multiple domains of topological materials, with a particular focus on recent progress in inverse design and generation of topological materials, topological superconductivity, and the More >

Dakshnamoorthy Manivannan^*

Journal of Cyber Security, Vol.8, pp. 397-468, 2026, DOI:10.32604/jcs.2026.082741 - 06 July 2026

Abstract Ransomware has emerged as one of the most disruptive and financially damaging forms of cybercrime, affecting individuals, enterprises, and critical infrastructures worldwide. Over the past decade, ransomware attacks have evolved from simple file-encryption malware to sophisticated, multi-stage campaigns involving data exfiltration, double extortion, and ransomware-as-a-service (RaaS) ecosystems. In response, a large body of research has proposed diverse techniques for detecting, preventing, mitigating, and recovering from ransomware attacks. This paper presents a comprehensive survey of ransomware research spanning behavioral and runtime detection, machine learning and deep learning-based approaches, network and SDN-based detection, platform-specific defenses for mobile… More >

Gaziza Zhussipnazarova¹, Reshmy Rajasekharan², Sachin Kalumkumvathukkal Sajeev³, Jijo Thomas Koshy³, Dhanaraj Sangeetha³, Rekha Unni⁴, Raveendran Sindhu⁵, Akmaral Darmenbayeva¹, Mohammed Kuddus^6,7,*

Journal of Polymer Materials, Vol.43, No.2, 2026, DOI:10.32604/jpm.2026.075396 - 30 June 2026

Abstract It takes centuries for chemically reinforced, short-term designed plastics to decompose naturally. Despite this, there has been a significant surge in plastics production recently, accounting for a considerable part of the total historical output. Forecasts indicate that plastics production could reach unprecedented levels if this trend continues. However, increasing environmental concerns and stricter waste regulations have intensified research into biodegradable alternatives. As a result, there is a growing shift toward sustainable polymeric systems capable of replacing conventional petroleum-based plastics. One such class of promising and renewable materials is cellulose-chitosan bioplastic. This review provides an in-depth… More > Graphic Abstract

Raquel Sanchez-Baltasar¹, Nerea Castañeda-Fernández¹, Jorge Olivares-Arancibia², Carlos Torres-Villar^3,4, Julio Plaza-Diaz^5,6,7,8,*, Lourdes Herrera-Quintana^1,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.081924 - 16 June 2026

Abstract Breast cancer (BC) is the most frequently diagnosed malignancy in women worldwide and remains one of the leading causes of cancer-related mortality, with substantial international disparities in incidence, stage at diagnosis, access to treatment, and survival. In recent years, BC management has evolved rapidly through advances in molecular characterization, imaging, pathology, targeted therapies, immunotherapy, and survivorship care. Nevertheless, important gaps persist in early and accurate detection, biomarker standardization, equitable access to care, and patient-specific treatment selection. These advances require timely, evidence-based, and context-specific clinical frameworks to support appropriate implementation, and to avoid the use of… More >

Said Benkachcha^1,*, Mustapha Adar¹, Mohamed Maniana², Youssef Najih¹, Mourad Kaddiri¹, Mutapha Mabrouki¹

Energy Engineering, Vol.123, No.6, 2026, DOI:10.32604/ee.2026.075406 - 27 May 2026

Abstract Accurate forecasting of solar photovoltaic (PV) power generation is essential for enabling reliable integration of renewable energy into modern power systems. Variability in solar production, driven by meteorological fluctuations and inherent nonlinear dynamics, presents significant challenges for grid stability, operational planning, and energy management. This study investigates and compares the performance of classical statistical forecasting techniques and advanced deep learning approaches using real PV production data from a Moroccan solar plant. The analysis focuses on accuracy, robustness, computational efficiency, and suitability for short-term operational applications. Among statistical approaches, the Holt–Winters model demonstrated strong capability in… More > Graphic Abstract

Kirill V. Chernov^1,#, Artemii M. Savin^1,#, Daria E. Otvodnikova¹, Oleg A. Kuchur^1,2, Sergey A. Tsymbal^1,2,*

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.077445 - 21 May 2026

Abstract The formation of drug resistance poses the ultimate threat in modern oncology. Targeted therapy lacks versatility, while conventional therapy is famous for its side effects. However, for the new therapeutics to address the challenge of drug resistance, such compounds should combine properties of both modalities. In this review, we argue that metal-based therapeutics are paramount substances for achieving this goal. The unique physico-chemical properties and metabolism of these compounds, as well as metals themselves, allow to realize unique activities in normal and cancer cells, including precise targeting, non-apoptotic cell death, and disruption of critical signaling More > Graphic Abstract

Akash Garg^*

Journal on Artificial Intelligence, Vol.8, pp. 273-298, 2026, DOI:10.32604/jai.2026.079401 - 12 May 2026

Abstract As cyber threats continue to evolve in scale and sophistication, the need for intelligent and adaptive security mechanisms has become increasingly urgent. Intrusion Detection Systems (IDS) are critical components in safeguarding computer networks from malicious activities. This review paper presents a comprehensive analysis of recent advancements in deep learning-based IDS, examining various architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders, and generative adversarial networks (GANs). The study compares traditional intrusion detection techniques with modern deep learning approaches, highlighting their strengths, limitations, and suitability for real-world deployment. Special attention is given to… More >