Zhijun Guo¹, Yun Sun^2,*, Ying Wang¹, Chaoqi Fu³, Jilong Zhong^4,*

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2375-2398, 2024, DOI:10.32604/cmc.2024.048112

Abstract Due to the time-varying topology and possible disturbances in a conflict environment, it is still challenging to maintain the mission performance of flying Ad hoc networks (FANET), which limits the application of Unmanned Aerial Vehicle (UAV) swarms in harsh environments. This paper proposes an intelligent framework to quickly recover the cooperative coverage mission by aggregating the historical spatio-temporal network with the attention mechanism. The mission resilience metric is introduced in conjunction with connectivity and coverage status information to simplify the optimization model. A spatio-temporal node pooling method is proposed to ensure all node location features can be updated after destruction… More >

Norah Abdullah Al-Johany^1,*, Sanaa Abdullah Sharaf^1,2, Fathy Elbouraey Eassa^1,2, Reem Abdulaziz Alnanih^1,2,*

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 3139-3173, 2024, DOI:10.32604/cmc.2024.047392

Abstract The Message Passing Interface (MPI) is a widely accepted standard for parallel computing on distributed memory systems. However, MPI implementations can contain defects that impact the reliability and performance of parallel applications. Detecting and correcting these defects is crucial, yet there is a lack of published models specifically designed for correcting MPI defects. To address this, we propose a model for detecting and correcting MPI defects (DC_MPI), which aims to detect and correct defects in various types of MPI communication, including blocking point-to-point (BPTP), nonblocking point-to-point (NBPTP), and collective communication (CC). The defects addressed by the DC_MPI model include illegal… More >

Qinlu He^1,*, Fan Zhang¹, Genqing Bian¹, Weiqi Zhang¹, Zhen Li²

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2833-2850, 2024, DOI:10.32604/cmc.2024.046807

Abstract Spark, a distributed computing platform, has rapidly developed in the field of big data. Its in-memory computing feature reduces disk read overhead and shortens data processing time, making it have broad application prospects in large-scale computing applications such as machine learning and image processing. However, the performance of the Spark platform still needs to be improved. When a large number of tasks are processed simultaneously, Spark’s cache replacement mechanism cannot identify high-value data partitions, resulting in memory resources not being fully utilized and affecting the performance of the Spark platform. To address the problem that Spark’s default cache replacement algorithm… More >

Umi Salma Basha¹, Shashi Kant Gupta², Wedad Alawad³, SeongKi Kim^4,*, Salil Bharany^5,*

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 3397-3416, 2024, DOI:10.32604/cmc.2024.046265

Abstract A new era of data access and management has begun with the use of cloud computing in the healthcare industry. Despite the efficiency and scalability that the cloud provides, the security of private patient data is still a major concern. Encryption, network security, and adherence to data protection laws are key to ensuring the confidentiality and integrity of healthcare data in the cloud. The computational overhead of encryption technologies could lead to delays in data access and processing rates. To address these challenges, we introduced the Enhanced Parallel Multi-Key Encryption Algorithm (EPM-KEA), aiming to bolster healthcare data security and facilitate… More >

Hina Batool¹, Jiuyun Xu^1,*, Ateeq Ur Rehman², Habib Hamam^3,4,5,6

Journal on Artificial Intelligence, Vol.6, pp. 105-128, 2024, DOI:10.32604/jai.2024.049912

Abstract Federated Learning (FL) appeared as an encouraging approach for handling decentralized data. Creating a FL system needs both machine learning (ML) knowledge and thinking about how to design system software. Researchers have focused a lot on the ML side of FL, but have not paid enough attention to designing the software architecture. So, in this survey, a set of design patterns is described to tackle the design issues. Design patterns are like reusable solutions for common problems that come up when designing software architecture. This paper focuses on (1) design patterns such as architectures, frameworks, client selection protocols, personalization techniques,… More >

YI HU^1,#, ZHONGYANG REN^2,#, ZHENGZHONG ZHAO¹, YONGJIA HUANG³, WANTING HUANG³, JIE LIU^3,*, LING DING^3,*

BIOCELL, Vol.48, No.5, pp. 745-758, 2024, DOI:10.32604/biocell.2024.049140

Abstract Background: Acute pancreatitis (AP), known for its rapid onset and significant incidence and mortality rates, presents a clinical challenge due to the limited availability of effective treatments and preventive measures. Anemarsaponin B (ASB) has emerged as a potential therapeutic agent, demonstrating capabilities in reducing immune inflammation, positioning it as a promising candidate for AP treatment. Methods: We investigated the effects of ASB on AP in mice, induced by caerulein and lipopolysaccharide (LPS). Peripheral blood samples were collected 24 h post-induction with caerulein to assess of key biomarkers including lipase, amylase, TNF-α, IL-1β, IL-6, SOD, and GSH-Px. A range of techniques… More >

TINGTING LIU^1,#, YIWEI HAO^2,#, LIFENG ZHAO^2,*

BIOCELL, Vol.48, No.5, pp. 707-729, 2024, DOI:10.32604/biocell.2024.049130

Abstract Parkinson’s disease (PD) is a common neurodegenerative disease in the elderly, accounting for more than 1% of the population aged 65 years. Monogenic inheritance is relatively rare in PD, accounting for approximately 5% to 10% of PD patients, and there is a growing body of evidence suggesting that multiple genetic risk factors play a significant role in the pathogenesis of PD. Several groups have identified and reported a number of genes carrying mutations associated with affected family members. Mutated genes associated with PD are also candidates for idiopathic PD, and these genes may also carry other mutation sites that increase… More >

YUANYUAN LI¹, BITAO ZHANG¹, ZILONG CUI¹, PEIJIAN FAN¹, SHAOXIAN WANG^1,2,*

BIOCELL, Vol.48, No.5, pp. 731-744, 2024, DOI:10.32604/biocell.2024.048820

Abstract Background: Depression is becoming increasingly prevalent around the world, imposing a substantial burden on individuals, families, as well as society. Quercetin is known to be highly effective in treating depression. However, additional research is needed to dissect the mechanisms of its anti-depressive effects. Methods: For this study, Sprague-Dawley (SD) rats were randomized into the control, model, quercetin, or fluoxetine group. The latter three groups were exposed to chronic unpredictable mild stress (CUMS) for 42 d. The first two groups received saline solution daily via oral gavage. Meanwhile, the quercetin group was orally administered a quercetin suspension (52.08 mg/kg) every day,… More >

VIRAAJ VISHNU PRASAD, JENNIFER SALLY SAMSON, VENKATACHALAM DEEPA PARVATHI^*

BIOCELL, Vol.48, No.5, pp. 693-706, 2024, DOI:10.32604/biocell.2024.048776

Abstract Physical activity and exercise have several beneficial roles in enhancing both physiological and psychological well-being of an individual. In addition to aiding the regulation of aerobic and anaerobic metabolism, exercise can stimulate the synthesis of exerkine hormones in the circulatory system. Among several exerkines that have been investigated for their therapeutic potential, Brain-derived neurotrophic factor (BDNF) is considered the most promising candidate, especially in the management of neurodegenerative diseases. Owing to the ability of physical activity to enhance BDNF synthesis, several experimental studies conducted so far have validated this hypothesis and produced satisfactory results at the pre-clinical level. This review… More > Graphic Abstract

XIAOQI WU^1,2,#, YECHUAN HE^1,2,#, YEQIN YUAN⁴, XIAN TAN^1,2, LIN ZHU^1,2, DANLING WANG^1,2,4, BINYUAN JIANG^3,4,*

BIOCELL, Vol.48, No.5, pp. 861-872, 2024, DOI:10.32604/biocell.2024.048758

Abstract Background: Nasopharyngeal carcinoma (NPC) exhibits a significant prevalence in the southern regions of China, and paclitaxel (PTX) is frequently employed as a medication for managing advanced NPC. However, drug resistance is typically accompanied by a poor prognosis. Exploring the synergistic potential of combining multiple chemotherapeutic agents may represent a promising avenue for optimizing treatment efficacy. Methods: This study investigated whether 3-Methyladenine (3-MA) could potentiated the effect of PTX and its potential molecular mechanism. Samples were divided into the following categories: Negative control (NC) with the solvent dimethyl sulfoxide (DMSO, 0.5% v/v), PTX (400 nM), 3-MA (4 mM), and PTX (400… More >