Vishwas Deep Joshi¹, Priya Agarwal¹, Lenka Čepová², Huda Alsaud³, Ajay Kumar^4,*, B. Swarna⁵, Ashish Kumar⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 969-1011, 2025, DOI:10.32604/cmes.2025.063996 - 31 July 2025

Abstract In a world where supply chains are increasingly complex and unpredictable, finding the optimal way to move goods through transshipment networks is more important and challenging than ever. In addition to addressing the complexity of transportation costs and demand, this study presents a novel method that offers flexible routing alternatives to manage these complexities. When real-world variables such as fluctuating costs, variable capacity, and unpredictable demand are considered, traditional transshipment models often prove inadequate. To overcome these challenges, we propose an innovative fully fuzzy-based framework using LR flat fuzzy numbers. This framework allows for more… More >

Yuting He, Zetao Jiang^*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5487-5508, 2025, DOI:10.32604/cmc.2025.065169 - 30 July 2025

Abstract Existing Transformer-based image captioning models typically rely on the self-attention mechanism to capture long-range dependencies, which effectively extracts and leverages the global correlation of image features. However, these models still face challenges in effectively capturing local associations. Moreover, since the encoder extracts global and local association features that focus on different semantic information, semantic noise may occur during the decoding stage. To address these issues, we propose the Local Relationship Enhanced Gated Transformer (LREGT). In the encoder part, we introduce the Local Relationship Enhanced Encoder (LREE), whose core component is the Local Relationship Enhanced Module… More >

Dong Hwan Ho^1,*, Minhyung Lee^2,3, Daleum Nam¹, Hyejung Kim¹, Janghwan Kim^2,3, Mi Kyoung Seo^4,5, Sung Woo Park^4,5, Ilhong Son^1,6,*

BIOCELL, Vol.49, No.7, pp. 1225-1244, 2025, DOI:10.32604/biocell.2025.065486 - 25 July 2025

Abstract Background: Parkinson’s disease (PD) is a common neurodegenerative disease, characterized by symptoms like tremors, muscle rigidity, and slow movement. The main cause of these symptoms is the loss of dopamine-producing neurons in a brain area called the substantia nigra. Various genetic and environmental factors contribute to this neuronal loss. Once symptoms of PD begin, they worsen with age, which also impacts several critical cellular processes. Leucine-rich repeat kinase 2 (LRRK2) is a gene associated with PD. Certain mutations in LRRK2, such as G2019S, increase its activity, disrupting cellular mechanisms necessary for healthy neuron function, including… More >

Siliang Liu^1,#, Hong Tang^2,#, Ying Xia¹, Zhengtao Yu¹, Ning Gao^1,*

BIOCELL, Vol.49, No.7, pp. 1245-1264, 2025, DOI:10.32604/biocell.2025.064396 - 25 July 2025

Abstract Objectives: NOD-like receptor family pyrin domain-containing (NLRP) 1-mediated pyroptosis plays a key role in the pathogenesis of cerebral ischemia-reperfusion injury (CIRI). C-Myc is reported to play a major role in CIRI. However, the mechanism remains unclear. This study aimed to investigate whether c-Myc affects CIRI by regulating Serine/Arginine-rich Splicing Factor 1 (SRSF1)/NLRP1-mediated pyroptosis. Methods: Oxygen-glucose deprivation/reperfusion (OGD/R) induced neuroblastoma cells for the establishment of an in vitro CIRI model. The levels of c-Myc and SRSF1, cell viability, the expression of pyroptosis-related factors, and the interaction between SRSF1 and NLRP1 were evaluated. Results: The expression of c-Myc and… More >

Geetanjali Dei^1,2, Deepak Kumar Gupta¹, Binod Kumar Sahu², Amitkumar V. Jha³, Bhargav Appasani^3,*, Nicu Bizon^4,5,*

Energy Engineering, Vol.122, No.8, pp. 3399-3431, 2025, DOI:10.32604/ee.2025.067357 - 24 July 2025

Abstract This paper presents an innovative and effective control strategy tailored for a deregulated, diversified energy system involving multiple interconnected area. Each area integrates a unique mix of power generation technologies: Area 1 combines thermal, hydro, and distributed generation; Area 2 utilizes a blend of thermal units, distributed solar technologies (DST), and hydro power; and Third control area hosts geothermal power station alongside thermal power generation unit and hydropower units. The suggested control system employs a multi-layered approach, featuring a blended methodology utilizing the Tilted Integral Derivative controller (TID) and the Fractional-Order Integral method to enhance… More >

Kaku Haribabu^1,*, Prasath R¹, Praveen Joe IR²

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 413-448, 2025, DOI:10.32604/cmes.2025.059406 - 11 April 2025

Abstract Thyroid nodules, a common disorder in the endocrine system, require accurate segmentation in ultrasound images for effective diagnosis and treatment. However, achieving precise segmentation remains a challenge due to various factors, including scattering noise, low contrast, and limited resolution in ultrasound images. Although existing segmentation models have made progress, they still suffer from several limitations, such as high error rates, low generalizability, overfitting, limited feature learning capability, etc. To address these challenges, this paper proposes a Multi-level Relation Transformer-based U-Net (MLRT-UNet) to improve thyroid nodule segmentation. The MLRT-UNet leverages a novel Relation Transformer, which processes… More >

Kuo-Yang Huang¹, Sheng-Chien Lin^2,3, Chun-Hung Su^4,5,6, Sheng-Wen Wu^4,7, Ching-Chi Tseng^8,9, Wei-Chin Hung¹⁰, Shih-Pin Chen^4,5, Yu-Hsiang Kuan^2,3,*

BIOCELL, Vol.49, No.2, pp. 315-334, 2025, DOI:10.32604/biocell.2025.061073 - 28 February 2025

Abstract ABSTRACT: Background: Acute respiratory distress syndrome (ARDS) is the major therapeutic dilemma associated with significant inflammation and severe pulmonary dysfunction. Liriodendrin is a bioactive compound extract from traditional Chinese medicine, historically utilized for modulating inflammatory responses and alleviating symptoms in multiple disease models. Methods: At present, BALB/c mice were used to explore the effects of liriodendrin on lipopolysaccharide (LPS)-induced ARDS. Before LPS was administered, the mice were treated with either liriodendrin or dexamethasone. Leukocyte infiltration, lung edema, and alveolar-capillary barrier integrity were evaluated in the bronchoalveolar lavage fluid (BALF) and pulmonary parenchyma. The expression of adhesion… More >

TAO SUN^1,2, QINGHUA SONG³, HUA LIU^1,*

Oncology Research, Vol.33, No.1, pp. 133-148, 2025, DOI:10.32604/or.2024.054141 - 20 December 2024

Abstract Background: Lung cancer is a life-threatening disease that occurs worldwide, but is especially common in China. The crucial role of the tumour microenvironment (TME) in non-small cell lung cancer (NSCLC) has attracted recent attention. Cancer-associated fibroblasts (CAFs) are the main factors that contribute to the TME function, and CAF exosomes are closely linked to NSCLC. Methods: The expression levels of miR-3124-5p and Toll-interacting protein (TOLLIP) were analysed by bioinformatics prediction combined with RT-qPCR/Western Blot detection. Fibroblasts were isolated and identified from clinical NSCLC tissues. Transmission electron microscopy and Western Blot were used to identify exosomes… More >

Won-Hee Park^1,*, Su-Whan Yoon¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011340

Abstract Korea's Daegu Railway Line 3 is a line operated by three-car train of unmanned railway vehicles running over an elevated bridge. Complaints about bad odors when air conditioners are turned on during the summer and late spring and early fall are increasing. In the case of Daegu Line 3, which is exposed to the external environment, the stopping section is shorter than that of regular railways, and the congestion rate by time period/section changes rapidly. Since the perceived temperature is different for each gender/individual of the passengers, the set temperature of the air conditioner is… More >

Gajjala Savithri^1,2, N. Raghavendra Sai^1,*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2547-2569, 2024, DOI:10.32604/cmc.2024.055827 - 18 November 2024

Abstract In the world of wireless sensor networks (WSNs), optimizing performance and extending network lifetime are critical goals. In this paper, we propose a new model called DTLR-Net (Deep Temporal LSTM Regression Network) that employs long-short-term memory and is effective for long-term dependencies. Mobile sinks can move in arbitrary patterns, so the model employs long short-term memory (LSTM) networks to handle such movements. The parameters were initialized iteratively, and each node updated its position, mobility level, and other important metrics at each turn, with key measurements including active or inactive node ratio, energy consumption per cycle,… More >