D. Loganathan^1,*, M. Balasubramani¹, R. Sabitha², S. Karthik²

Computer Systems Science and Engineering, Vol.44, No.1, pp. 99-112, 2023, DOI:10.32604/csse.2023.023120 - 01 June 2022

Abstract Sensors are considered as important elements of electronic devices. In many applications and service, Wireless Sensor Networks (WSNs) are involved in significant data sharing that are delivered to the sink node in energy efficient manner using multi-hop communications. But, the major challenge in WSN is the nodes are having limited battery resources, it is important to monitor the consumption rate of energy is very much needed. However, reducing energy consumption can increase the network lifetime in effective manner. For that, clustering methods are widely used for optimizing the rate of energy consumption among the sensor… More >

Mahdi Jemmali^1,2,3,*, Lotfi Hidri⁴

Computer Systems Science and Engineering, Vol.44, No.1, pp. 563-577, 2023, DOI:10.32604/csse.2023.022716 - 01 June 2022

Abstract The two-stage hybrid flow shop problem under setup times is addressed in this paper. This problem is NP-Hard. on the other hand, the studied problem is modeling different real-life applications especially in manufacturing and high performance-computing. Tackling this kind of problem requires the development of adapted algorithms. In this context, a metaheuristic using the genetic algorithm and three heuristics are proposed in this paper. These approximate solutions are using the optimal solution of the parallel machines under release and delivery times. Indeed, these solutions are iterative procedures focusing each time on a particular stage where… More >

K. Nagalakshmi^1,*, S. Dr. Suriya²

Computer Systems Science and Engineering, Vol.44, No.1, pp. 501-517, 2023, DOI:10.32604/csse.2023.022687 - 01 June 2022

Abstract Breast cancer is one of the deadly diseases prevailing in women. Earlier detection and diagnosis might prevent the death rate. Effective diagnosis of breast cancer remains a significant challenge, and early diagnosis is essential to avoid the most severe manifestations of the disease. The existing systems have computational complexity and classification accuracy problems over various breast cancer databases. In order to overcome the above-mentioned issues, this work introduces an efficient classification and segmentation process. Hence, there is a requirement for developing a fully automatic methodology for screening the cancer regions. This paper develops a fully… More >

Basit Shahzad¹, Wardah Naeem Awan^1,*, Fazal-e-Amin², Ahsanullah Abro³, Muhammad Shoaib⁴, Sultan Alyahya⁴

Computer Systems Science and Engineering, Vol.44, No.1, pp. 407-422, 2023, DOI:10.32604/csse.2023.022601 - 01 June 2022

Abstract There is an emerging interest in using agile methodologies in Global Software Development (GSD) to get the mutual benefits of both methods. Scrum is currently admired by many development teams as an agile most known methodology and considered adequate for collocated teams. At the same time, stakeholders in GSD are dispersed by geographical, temporal, and socio-cultural distances. Due to the controversial nature of Scrum and GSD, many significant challenges arise that might restrict the use of Scrum in GSD. We conducted a Systematic Literature Review (SLR) by following Kitchenham guidelines to identify the challenges that More >

S. Mohan Kumar^*, T. Kumanan

Computer Systems Science and Engineering, Vol.44, No.1, pp. 833-844, 2023, DOI:10.32604/csse.2023.022385 - 01 June 2022

Abstract The main cause of skin cancer is the ultraviolet radiation of the sun. It spreads quickly to other body parts. Thus, early diagnosis is required to decrease the mortality rate due to skin cancer. In this study, an automatic system for Skin Lesion Classification (SLC) using Non-Subsampled Shearlet Transform (NSST) based energy features and Support Vector Machine (SVM) classifier is proposed. At first, the NSST is used for the decomposition of input skin lesion images with different directions like 2, 4, 8 and 16. From the NSST’s sub-bands, energy features are extracted and stored in More >

Polin Rahman¹, Ahmed Rifat¹, MD. IftehadAmjad Chy¹, Mohammad Monirujjaman Khan^1,*, Mehedi Masud², Sultan Aljahdali²

Computer Systems Science and Engineering, Vol.44, No.1, pp. 757-775, 2023, DOI:10.32604/csse.2023.021469 - 01 June 2022

Abstract Heart failure is now widely spread throughout the world. Heart disease affects approximately 48% of the population. It is too expensive and also difficult to cure the disease. This research paper represents machine learning models to predict heart failure. The fundamental concept is to compare the correctness of various Machine Learning (ML) algorithms and boost algorithms to improve models’ accuracy for prediction. Some supervised algorithms like K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Decision Trees (DT), Random Forest (RF), Logistic Regression (LR) are considered to achieve the best results. Some boosting algorithms like Extreme Gradient… More >

Ahmed M. Zeyada^1,*, Khalid A. Al-Gaadi^1,2, ElKamil Tola², Rangaswamy Madugundu², Ahmed A. Alameen²

Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1603-1620, 2023, DOI:10.32604/phyton.2023.027267 - 09 March 2023

Abstract The estuary tides affect groundwater dynamics; these areas are susceptible to waterlogging and salinity issues. A study was conducted on two fields with a total area of 60 hectares under a center pivot irrigation system that works with solar energy and belong to a commercial farm located in Northern Sudan. To monitor soil salinity and calcium carbonate in the area and stop future degradation of soil resources, easy, non-intrusive, and practical procedures are required. The objective of this study was to use remote sensing-determined Sentinel-2 satellite imagery using various soil indices to develop prediction models… More >

Chuanjun Huang^1,2, Yan Sun², Na Liu², Ziping Zhang¹, Xiyan Wang², Degan Lu², Ling Zhou^2,a, Caiqing Zhang^3,a

European Cytokine Network, Vol.33, No.1, pp. 13-24, 2022, DOI:10.1684/ecn.2021.0476

Abstract Background: Asthma is an airway disease characterized by airflow limitation and various additional clinical manifestations. Repeated inflammatory stimulation of the airways leads to epithelial-mesenchymal transition (EMT) which aggravates subepithelial fibrosis during the process of airway remodelling and enhances resistance to corticosteroids and bronchodilators in refractory asthma. There is growing evidence that IL-27 modulates airway remodelling, however, the molecular mechanisms involving IL-27 and EMT are poorly understood. The objective of this study was to investigate the effects of IL-27 on ovalbumin (OVA)-challenged asthmatic mice in vivo and TGF-β1-induced EMT in 16HBE cells in vitro. METHODS: Airway inflammation, mucus… More >

Yasser Bagheri^1,2,#, Mohsen Saeidi^1,2,#, Reza Yazdani^3,4, Fateme Babaha³, Reza Falak^5,6, Gholamreza Azizi⁷, Marjan Taherian^5,6, Fereshteh Salami³, Yaghoob Yazdani^1,2, Somayeh Sadani⁸, Ali Hosseini⁸, Morteza Motallebnezhad^5,6, Hassan Abolhassani^3,9, Mehdi Shekarabi^5,6, Asghar Aghamohammadi³

European Cytokine Network, Vol.33, No.1, pp. 1-12, 2022, DOI:10.1684/ecn.2021.0464

Abstract Background: Selective IgA deficiency is the most prevalent form of primary immunodeficiencies. The pathogenesis of the disease is still unknown. Several studies have suggested a defect in B cell responses to IL-10; however, the main reason for this defect has not been reported. Elucidating IL-10 signaling defects and their correlation with clinical manifestations could be helpful for better understanding and treatment of the disease. Methods: In this study, 15 SIgAD patients and 15 age- and sex-matched healthy controls were included. Surface expression of transforming growth factor β receptor II (TGF-β RII), IL-10R and IgA was… More >

Christopher J. Papayannakos^1,*, Daniel Zhu^1,*, Bongseok Jung², Ali A. Rana², James A. DeVoti^2,3, Allan L. Abramson⁴, Vincent R. Bonagura^2,3, Bettie M. Steinberg^2,5

European Cytokine Network, Vol.33, No.2, pp. 19-29, 2022, DOI:10.1684/ecn.2022.0479

Abstract IL-36γ, a pro-inflammatory member of the IL-1 cytokine superfamily, can be induced and secreted by normal human foreskin keratinocytes (HFKs) in response to pathogenic stimuli, however, the mechanisms underlying the secretion are unknown. In this study, we demonstrate that stimulation with the TLR3 agonist, poly (I:C), led to a delayed secretion of IL-36γ compared to stimulation with the TLR5 agonist, flagellin, despite equal levels of the cytokine (p = 0.006). IL-36γ was shown to be released from HFKs in its inactive, uncleaved form, based on western blotting. Moreover, recombinant IL-36γ in its activated, cleaved form… More >