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 >

Jingshuai Pang^1,2, Songcen Wang¹, Hongyin Chen^1,2,*, Xiaoqiang Jia¹, Yi Guo¹, Ling Cheng¹, Xinhe Zhang¹, Jianfeng Li¹

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.070256 - 27 December 2025

Abstract To achieve the goals of sustainable development of the energy system and the construction of a low-carbon society, this study proposes a multi-energy storage collaborative optimization strategy for industrial park that integrates the laddered carbon trading mechanism with demand response. Firstly, a dual dimensional DR model is constructed based on the characteristics of load elasticity. The alternative DR enables flexible substitution of energy loads through complementary conversion of electricity/heat/cold multi-energy sources, while the price DR relies on time-of-use electricity price signals to guide load spatiotemporal migration; Secondly, the LCT mechanism is introduced to achieve optimal… More >

Kwok Tai Chui^1,*, Varsha Arya¹, Brij B. Gupta^2,3,4,*, Miguel Torres-Ruiz⁵, Razaz Waheeb Attar⁶

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-23, 2026, DOI:10.32604/cmc.2025.068842 - 10 November 2025

Abstract Parkinson’s disease (PD) is a debilitating neurological disorder affecting over 10 million people worldwide. PD classification models using voice signals as input are common in the literature. It is believed that using deep learning algorithms further enhances performance; nevertheless, it is challenging due to the nature of small-scale and imbalanced PD datasets. This paper proposed a convolutional neural network-based deep support vector machine (CNN-DSVM) to automate the feature extraction process using CNN and extend the conventional SVM to a DSVM for better classification performance in small-scale PD datasets. A customized kernel function reduces the impact… More >

Ilhong Son^1,2, Sun Jung Han², Dong Hwan Ho^1,3,*

BIOCELL, Vol.49, No.12, pp. 2283-2297, 2025, DOI:10.32604/biocell.2025.071119 - 24 December 2025

Abstract The potential of urinary biomarkers to facilitate non-invasive monitoring of Parkinson’s disease (PD) is a promising avenue, offering insights into the complex pathophysiology of the disease. The aggregation of α-synuclein, a central feature of PD, can be detected in urine, providing a diagnostic clue. Mutations in the LRRK2 gene, associated with increased kinase activity, can be estimated through the measurement of phosphorylated LRRK2 (pS1292) in urine. Oxidative stress, a hallmark of PD, is reflected in elevated levels of oxidized DJ-1 (oxDJ-1) in urine. Beyond these core biomarkers, other urinary components like DOPA decarboxylase, acetyl phenylalanine, More >

Tomoki Sekimori^1,*, Ichiro Kawahata^2,*

BIOCELL, Vol.49, No.11, pp. 2125-2136, 2025, DOI:10.32604/biocell.2025.070394 - 24 November 2025

Abstract Lewy body diseases (LBD), including Parkinson’s disease (PD) and dementia with Lewy bodies (DLB), are neurodegenerative disorders characterized by the intracellular aggregation and accumulation of α-Synuclein (αSyn), leading to neuronal death. Although these diseases primarily present with symptoms affecting the central nervous system (CNS), such as motor and cognitive impairment, increasing research suggests that their roots may be found in the gut. This review summarizes recent findings and key historical insights into the involvement of the gut in αSyn pathology. The topics covered include pathological observations in patients with LBD, animal models investigating the propagation More >

Chuang Meng^1,*, Yutong Bi¹, Bingji Zhang¹, Wentao Fu², Guang Chen³

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1681-1694, 2025, DOI:10.32604/sdhm.2025.068732 - 17 November 2025

Abstract The lift-and-transverse type parking equipment, with its core advantages such as high space utilization, modular and flexible layout, and intelligent operation, has become an efficient solution to alleviate the urban parking problem. However, existing research still lacks a systematic evaluation of its structural performance, particularly in areas such as the fatigue characteristics of steel frame materials, stress distribution under dynamic loads, and resonance risk analysis. The stress amplitude (S) and fatigue life (N) relationship curve of Q235 steel, the material used in the steel frame of the lift-and-transverse type parking equipment, was obtained through fatigue… More >

Ibrahim Yahaya Garta, William Eric Manongga, Su-Wen Huang, Rung-Ching Chen^*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4457-4471, 2025, DOI:10.32604/cmc.2025.067149 - 23 October 2025

Abstract Unlike the detection of marked on-street parking spaces, detecting unmarked spaces poses significant challenges due to the absence of clear physical demarcation and uneven gaps caused by irregular parking. In urban cities with heavy traffic flow, these challenges can result in traffic disruptions, rear-end collisions, sideswipes, and congestion as drivers struggle to make decisions. We propose a real-time detection system for on-street parking spaces using YOLO models and recommend the most suitable space based on KD-tree search. Lightweight versions of YOLOv5, YOLOv7-tiny, and YOLOv8 with different architectures are trained. Among the models, YOLOv5s with SPPF… More >

Stephanie Seneff^1,*, Greg Nigh², Anthony M. Kyriakopoulos^3,4

BIOCELL, Vol.49, No.9, pp. 1545-1572, 2025, DOI:10.32604/biocell.2025.066687 - 25 September 2025

Abstract Deuterium is a heavy isotope of hydrogen, with an extra neutron, endowing it with unique biophysical and biochemical properties compared to hydrogen. The ATPase pumps in the mitochondria depend upon proton motive force to catalyze the reaction that produces ATP. Deuterons disrupt the pumps, inducing excessive reactive oxygen species and decreased ATP synthesis. The aim of this review is to develop a theory that mitochondrial dysfunction due to deuterium overload, systemically, is a primary cause of Parkinson’s disease (PD). The gut microbes supply deuterium-depleted short chain fatty acids (SCFAs) to the colonocytes, particularly butyrate, and… More >

Carmen Rubio^1,#, Norma Serrano-GarcíA^1,#, Elisa Taddei¹, Eduardo CastañEda², HéCtor Romo^1,3, MoiséS Rubio-Osornio^4,*

BIOCELL, Vol.49, No.8, pp. 1391-1412, 2025, DOI:10.32604/biocell.2025.066320 - 29 August 2025

Abstract Rotenone is a lipophilic herbicide extensively utilized in experimental neurodegenerative models because of its capacity to disrupt complex I of the mitochondrial electron transport chain. This inhibition results in reduced ATP synthesis, elevated reactive oxygen species (ROS) formation, and mitochondrial malfunction, which instigates oxidative stress and cellular damage, critical elements in neurodegenerative disorders like Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), and Alzheimer’s disease (AD). In addition to causing direct neuronal injury, rotenone significantly contributes to the activation of glial cells, specifically microglia and astrocytes. Activated microglia assumes a proinflammatory (M1) phenotype, distinguished by the… More >

Gang He¹, Zhuoyan Chen¹, Mufeng Wang², Xingcheng Yang³, Zhenyong Zhang^1,*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 729-750, 2025, DOI:10.32604/cmc.2025.066748 - 29 August 2025

Abstract In rapid urban development, outdoor parking lots have become essential components of urban transportation systems. However, the increasing number of parking lots is accompanied by a rising risk of vehicle fires, posing a serious challenge to public safety. As a result, there is a critical need for fire warning systems tailored to outdoor parking lots. Traditional smoke detection methods, however, struggle with the complex outdoor environment, where smoke characteristics often blend into the background, resulting in low detection efficiency and accuracy. To address these issues, this paper introduces a novel model named Dynamic Contextual Transformer… More >