Zhebin Sun¹, Wei Wang¹, Mingxuan Du², Tao Liang¹, Yang Liu¹, Hailong Fan³, Cuiping Li², Xingxu Zhu², Junhui Li^2,*

Energy Engineering, DOI:10.32604/ee.2025.062218

Abstract Responding to the stochasticity and uncertainty in the power height of distributed photovoltaic power generation. This paper presents a distributed photovoltaic ultra-short-term power forecasting method based on Variational Mode Decomposition (VMD) and Channel Attention Mechanism. First, Pearson’s correlation coefficient was utilized to filter out the meteorological factors that had a high impact on historical power. Second, the distributed PV power data were decomposed into a relatively smooth power series with different fluctuation patterns using variational modal decomposition (VMD). Finally, the reconstructed distributed PV power as well as other features are input into the combined CNN-SENet-BiLSTM… More >

Wonbyung Lee, Jang Hyun Kim^*

CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.065413

Abstract Predicting player performance in sports is a critical challenge with significant implications for team success, fan engagement, and financial outcomes. Although, in Major League Baseball (MLB), statistical methodologies such as sabermetrics have been widely used, the dynamic nature of sports makes accurate performance prediction a difficult task. Enhanced forecasts can provide immense value to team managers by aiding strategic player contract and acquisition decisions. This study addresses this challenge by employing the temporal fusion transformer (TFT), an advanced and cutting-edge deep learning model for complex data, to predict pitchers’ earned run average (ERA), a key More >

Junbin He^1,2, Wuxia Zhang³, Xianyi Liu¹, Jinping Liu^2,*, Guangyi Yang⁴

CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.064402

Abstract The integration of cloud computing into traditional industrial control systems is accelerating the evolution of Industrial Cyber-Physical System (ICPS), enhancing intelligence and autonomy. However, this transition also expands the attack surface, introducing critical security vulnerabilities. To address these challenges, this article proposes a hybrid intrusion detection scheme for securing ICPSs that combines system state anomaly and network traffic anomaly detection. Specifically, an improved variation-Bayesian-based noise covariance-adaptive nonlinear Kalman filtering (IVB-NCA-NLKF) method is developed to model nonlinear system dynamics, enabling optimal state estimation in multi-sensor ICPS environments. Intrusions within the physical sensing system are identified by More >

Tajinder Kumar¹, Sarbjit Kaur², Purushottam Sharma^3,*, Ankita Chhikara⁴, Xiaochun Cheng^5,*, Sachin Lalar⁶, Vikram Verma⁷

CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.062010

Abstract During its growth stage, the plant is exposed to various diseases. Detection and early detection of crop diseases is a major challenge in the horticulture industry. Crop infections can harm total crop yield and reduce farmers’ income if not identified early. Today’s approved method involves a professional plant pathologist to diagnose the disease by visual inspection of the afflicted plant leaves. This is an excellent use case for Community Assessment and Treatment Services (CATS) due to the lengthy manual disease diagnosis process and the accuracy of identification is directly proportional to the skills of pathologists.… More >

Jung-Il Chae^1,#, Ji-Hye Seo^1,#, Goo Yoon², Young-Joo Jeon^3,*, Woo-Keun Kim^4,*

BIOCELL, DOI:10.32604/biocell.2025.062137

Abstract Background: Picropodophllotoxin (PPT), a principal component of Podophyllum hexandrum root, demonstrates various beneficial biological activities in multiple cancer types, including antitumor and antiproliferative properties. Despite its known effects, the specific mechanisms by which PPT induces apoptosis in oral squamous cell carcinoma (OSCC) cells lack full clarification. Aims: This study aimed to evaluate the role of PPT in inducing apoptosis in OSCC cells by targeting signal transducer and activator of transcription 3 (STAT3) and to investigate the underlying molecular pathways. Methods: Human OSCC cell lines (HN22 and HSC4) were treated with PPT. Cell viability, colony formation, and apoptotic… More >

Gloria Krajnc¹, Lara Metlika², Uroš Potočnik^1,2,3, Boris Gole^2,*

BIOCELL, DOI:10.32604/biocell.2025.063486

Abstract Vedolizumab is a humanized monoclonal antibody and one of the safest biologics for the treatment of both forms of inflammatory bowel disease (IBD)-Crohn’s disease and ulcerative colitis. It targets the α4β7 integrin and blocks leukocyte trafficking to the gut. Regardless of its efficacy in many patients, non-response to vedolizumab treatment poses a significant clinical challenge. In this review, we synthesize recent findings on genomic, transcriptomic, proteomic, and cellular biomarkers of vedolizumab response, emphasizing their roles in predicting therapeutic outcomes and understanding non-responsiveness. Key insights include the identification of epigenetic and transcriptomic signatures, the involvement of More >

Zahra Alhawsa^*, Rewaa Jalal, Nouf Asiri

Phyton-International Journal of Experimental Botany, DOI:10.32604/phyton.2025.061918

Abstract Salinity stress is a major constraint on agricultural productivity, particularly in arid and semi-arid regions. This study evaluated the potential of Ascophyllum nodosum extract (ANE) in mitigating salinity-induced stress and enhancing the growth and physiological performance of Portulaca oleracea L. under NaCl concentrations of 0, 50, 70, and 100 mM for 50 days. A two-way ANOVA assessed the effects of NaCl concentration, ANE treatment, and their interaction. The results showed that ANE significantly increased plant height at 50 mM NaCl (p = 0.0011) but had no effect at higher salinity levels (p > 0.05). Shoot dry weight was… More >

YUFENG WANG¹, HUIFENG DANG¹, QIANQIAN WANG¹, SHUXIAO WU¹, LEI HAN¹, XU LUO¹, YINGXIA TIAN^1,*, HAILIN TANG^2,*

Oncology Research, DOI:10.32604/or.2025.063716

Abstract This review focuses on the metabolic issues related to mitochondrial pyruvate dehydrogenase phosphatase (PDP) in malignant tumors and its potential mechanisms. Recent research on tumor metabolic mechanisms has shown that PDP dysregulation is closely linked to metabolic reprogramming in tumor cells, and potentially promotes tumor. Research has comprehensively explored the structural-functional characteristics of PDP, its metabolic regulatory mechanisms, and its role in various types of malignant tumors. Nevertheless, several questions still exist regarding its potential mechanisms within acetylation, phosphorylation, hypoxia, immune infiltration, mitochondrial metabolism, drug resistance, oxidative phosphorylation, and tumor prognosis. This article intends to More >

YU ZHANG^1,2, QINGKUN WANG², YUE HAN², JUNJIE PIAO^2,*, XIUYING JIN^1,2,*

Oncology Research, DOI:10.32604/or.2025.063395

Abstract Background: Colorectal adenocarcinoma (COAD) is one of the most common gastrointestinal malignancies. There is a pressing need to recognize reliable biomarkers that can improve diagnostic accuracy, predict prognosis, and serve as effective molecular targets. Glutathione peroxidase 4 (GPX4) is an important antioxidant protein. Evidence demonstrates that abnormal expression of GPX4 is related to cancer initiation and progression. However, the role of GPX4 in COAD remains unclear. Methods: We employed bioinformatics analysis and conducted subsequent validation of biological processes, including cell counting kit-8 assay (CCK-8), colony formation assay, reverse transcription-quantitative polymerase chain reaction (RT-qPCR), 5-ethynyl-2′-deoxyuridine assay… More >

KHANH TOAN NGUYEN^*, THI HUONG PHAM, VAN LAM NGO, VAN TUAN BUI, VAN NHAT NGUYEN, THI PHUONG THAO NGUYEN, THI KHANH HA NGUYEN, THI THUY VAN NGUYEN

Oncology Research, DOI:10.32604/or.2025.061905

Abstract Aims: The study aimed to evaluate the effectiveness and adverse events of tyrosine kinase inhibitors (TKIs) in the first-line treatment of advanced non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutations. Methods: A retrospective study on advanced NSCLC patients with EGFR mutations treated with TKIs as a first-line therapy at Nghe An Oncology Hospital, Vietnam between January 2017 and August 2023. The primary endpoints included objective response rate, progression-free survival, and tolerability. The secondary endpoint was overall survival. Results: A total of 211 patients received first-line treatment with Erlotinib (n = 74), Gefitinib (n… More >