Jiangyang Yuan¹, Jiaowen Wu¹, Yi Gao¹, Yuhao Fu², Yuntao Bu², Tianyu Chen², Hao Yu^2,*

Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.070715 - 27 January 2026

Abstract In the pursuit of carbon peaking and neutrality goals, multi-energy parks, as major energy consumers and carbon emitters, urgently require low-carbon operational strategies. This paper proposes an electricity-carbon synergy-driven optimization method for the low-carbon operation of multi-energy parks. The method integrates multi-energy complementary scheduling with a tiered carbon trading mechanism to balance operational security, economic efficiency, and environmental objectives. A mixed-integer linear programming model is developed to characterize the coupling relationships and dynamic behaviors of key equipment, including photovoltaic systems, ground-source heat pumps, thermal storage electric boilers, combined heat and power units, and electrical energy… More >

Junxian Ma¹, Haonan Zhao^2,*, Zhibing Hu³, Yaru Shen³, Fan Ding³, Shouqi Jiang²

Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.070530 - 27 January 2026

Abstract Energy storage-equipped photovoltaic (PV-storage) systems can meet frequency regulation requirements under various operating conditions, and their coordinated support for grid frequency has become a future trend. To address frequency stability issues caused by low inertia and weak damping, this paper proposes a multi-timescale frequency regulation coordinated control strategy for PV-storage integrated systems. First, a self-synchronizing control strategy for grid-connected inverters is designed based on DC voltage dynamics, enabling active inertia support while transmitting frequency variation information. Next, an energy storage inertia support control strategy is developed to enhance the frequency nadir, and an active frequency… More >

Chenxuan Zhang, Yongqing Qi^*, Ximin Cao, Yanchi Zhang

Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.069878 - 27 January 2026

Abstract To enhance the low-carbon economic efficiency and increase the utilization of renewable energy within integrated energy systems (IES), this paper proposes a low-carbon dispatch model integrating power-to-gas (P2G), carbon capture and storage (CCS), hydrogen fuel cell (HFC), and combined heat and power (CHP). The P2G process is refined into a two-stage structure, and HFC is introduced to enhance hydrogen utilization. Together with CCS and CHP, these devices form a multi-energy conversion system coupling electricity, heat, cooling, and gas. A ladder-type carbon trading approach is adopted to flexibly manage carbon output by leveraging marginal cost adjustments.… More >

Boda Zhang^1,*, Fuhua Luo¹, Yunhao Yu¹, Chameiling Di¹, Ruibin Wen¹, Fei Chen²

Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.069323 - 27 January 2026

Abstract The increasing intelligence of power systems is transforming distribution networks into Cyber-Physical Distribution Systems (CPDS). While enabling advanced functionalities, the tight interdependence between cyber and physical layers introduces significant security challenges and amplifies operational risks. To address these critical issues, this paper proposes a comprehensive risk assessment framework that explicitly incorporates the physical dependence of information systems. A Bayesian attack graph is employed to quantitatively evaluate the likelihood of successful cyber attacks. By analyzing the critical scenario of fault current path misjudgment, we define novel system-level and node-level risk coupling indices to precisely measure the… More >

Yunpeng Wen^1,*, Bingyang Ke², Junrong Ding³

Chalcogenide Letters, Vol.23, No.1, 2026, DOI:10.32604/cl.2026.076587 - 26 January 2026

Abstract This study reports an active learning (AL)-guided strategy to optimize the sulfurization–selenization processing conditions of Sb₂(S,Se)₃ thin-film photovoltaic absorbers for enhanced power conversion efficiency (PCE). By coupling Gaussian process modeling with iterative experimental feedback, we explored 20 targeted annealing conditions across the full compositional spectrum (x = 0–1) and identified an optimal S/(S + Se) ratio of 0.40 (x = 0.60), which yielded a band gap (Eg) of ~1.34 eV, close to the theoretical Shockley–Queisser optimum. The optimized process employed a controlled two-step 420°C anneal with sequential H₂Se→H₂S exposure, which produced large plate-like grains (300–500 nm)… More >

SHAOFENG XIONG^1,2, WENKAI LV³, GUOSHENG CAO⁴, LONGSHENG FU¹, WEN LIU³, MENGFAN LEI², YANNI LV^1,5,*

BIOCELL, Vol.50, No.1, 2026, DOI:10.32604/biocell.2025.073401 - 23 January 2026

Abstract Objective: Leucine-rich alpha-2 glycoprotein 1 (Lrg1) could regulate diverse cells in cerebral ischemia-reperfusion. Our study seeks to uncover Lrg1’s impact on endothelial cell heterogeneity via differentiation pathways and transcription factors. Method: The CSOmap model measured cell-to-brain-center distances using single-cell RNA sequencing (scRNA-seq) data in middle cerebral artery occlusion reperfusion (MCAO/R). Monocle2 mapped endothelial differentiation paths. Gene set enrichment analysis (GSEA) analyzed endothelial subcluster variations. Database searches revealed a zinc finger MIZ-type containing 1 protein-frizzled 3 (Zmiz1-Fzd3) promoter interaction. Endothelial cells were transfected with a Fzd3 promoter-luciferase plasmid. Polymerase chain reaction (PCR) and western blotting assessed… More >

Douglas M. Ruden^*

BIOCELL, Vol.50, No.1, 2026, DOI:10.32604/biocell.2025.072273 - 23 January 2026

Abstract Stem cell fate decisions are increasingly understood through the dynamic interplay of two fundamental stress-adaptive programs: the integrated stress response (ISR) and the senescence-associated secretory phenotype (SASP). These pathways act as a Yin–Yang system, balancing beneficial and detrimental outcomes across development, tissue homeostasis, and disease. On the yin (protective) side, transient ISR activation and acute SASP signaling foster adaptation, embryonic patterning, wound healing, and regeneration. On the yang (maladaptive) side, chronic ISR signaling and unresolved SASP output drive stem cell exhaustion, fibrosis, inflammation, and tumorigenesis. This duality highlights their roles as both guardians and disruptors More > Graphic Abstract

Hang Zhang^1,#, Meng-Yuan Chu^1,#, Guohui Lv¹, You-Jie Li¹, Xuhang Liu², Fei Jiao^1,*, Yun-Fei Yan^1,*

BIOCELL, Vol.50, No.1, 2026, DOI:10.32604/biocell.2025.068322 - 23 January 2026

Abstract Objectives: Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality, with limited understanding of lncRNA-driven mechanisms in tumor progression. This study aimed to identify differentially expressed lncRNAs in NSCLC tissues and elucidate the functional role of the significantly upregulated RP3-340N1.2 in promoting malignancy. Methods: RNA sequencing was used to screen dysregulated lncRNAs. RP3-340N1.2 was functionally characterized via gain/loss-of-function assays in NSCLC cells, assessing proliferation, migration, and macrophage polarization. Mechanisms of interleukin 6 (IL-6) regulation were explored using cytokine profiling, Actinomycin D assays, and RNA Immunoprecipitation (RIP) assays to study RP3-340N1.2 interactions with… More >

Williams Kyei^*, Chunyong Yin, Kelvin Amos Nicodemas, Khagendra Darlami

Journal on Artificial Intelligence, Vol.8, pp. 19-38, 2026, DOI:10.32604/jai.2026.074988 - 20 January 2026

Abstract The COVID-19 pandemic has underscored the need for rapid and accurate diagnostic tools to differentiate respiratory infections from normal cases using chest X-rays (CXRs). Manual interpretation of CXRs is time-consuming and prone to errors, particularly in distinguishing COVID-19 from viral pneumonia. This research addresses these challenges by proposing a customized EfficientNet-B0 model for ternary classification (COVID-19, Viral Pneumonia, Normal) on the COVID-19 Radiography Database. Employing transfer learning with architectural modifications, including a tailored classification head and regularization techniques, the model achieves superior performance. Evaluated via accuracy, F1-score (macro-averaged), AUROC (macro-averaged), precision (macro-averaged), recall (macro-averaged), inference… More >

Kwabena Owusu-Mensah^*, Edward Danso Ansong , Kofi Sarpong Adu-Manu, Winfred Yaokumah

Journal of Cyber Security, Vol.8, pp. 33-92, 2026, DOI:10.32604/jcs.2026.074265 - 20 January 2026

Abstract The rapid growth of digital payment systems and remote financial services has led to a significant increase in Card-Not-Present (CNP) fraud, which is now the primary source of card-related losses worldwide. Traditional rule-based fraud detection methods are becoming insufficient due to several challenges, including data imbalance, concept drift, privacy concerns, and limited interpretability. In response to these issues, a systematic review of twenty-four CNP fraud detection frameworks developed between 2014 and 2025 was conducted. This review aimed to identify the technologies, strategies, and design considerations necessary for adaptive solutions that align with evolving regulatory standards.… More >