Sagiraju Srinadhraju^*, Samaresh Mishra, Suresh Chandra Satapathy

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1641-1668, 2024, DOI:10.32604/csse.2024.055612 - 22 November 2024

Abstract This paper introduces the integration of the Social Group Optimization (SGO) algorithm to enhance the accuracy of software cost estimation using the Constructive Cost Model (COCOMO). COCOMO’s fixed coefficients often limit its adaptability, as they don’t account for variations across organizations. By fine-tuning these parameters with SGO, we aim to improve estimation accuracy. We train and validate our SGO-enhanced model using historical project data, evaluating its performance with metrics like the mean magnitude of relative error (MMRE) and Manhattan distance (MD). Experimental results show that SGO optimization significantly improves the predictive accuracy of software cost More >

Stephen Afrifa^1,2,*, Vijayakumar Varadarajan^3,4,5,*, Peter Appiahene², Tao Zhang¹, Richmond Afrifa⁶

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1625-1639, 2024, DOI:10.32604/csse.2024.055084 - 22 November 2024

Abstract Users of social networks can readily express their thoughts on websites like Twitter (now X), Facebook, and Instagram. The volume of textual data flowing from users has greatly increased with the advent of social media in comparison to traditional media. For instance, using natural language processing (NLP) methods, social media can be leveraged to obtain crucial information on the present situation during disasters. In this work, tweets on the Uttarakhand flash flood are analyzed using a hybrid NLP model. This investigation employed sentiment analysis (SA) to determine the people’s expressed negative attitudes regarding the disaster. More >

Saad M. Darwish^1,*, Abdul Rahman M. Sabri², Dhafar Hamed Abd², Adel A. Elzoghabi¹

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1595-1624, 2024, DOI:10.32604/csse.2024.054615 - 22 November 2024

Abstract The number of blogs and other forms of opinionated online content has increased dramatically in recent years. Many fields, including academia and national security, place an emphasis on automated political article orientation detection. Political articles (especially in the Arab world) are different from other articles due to their subjectivity, in which the author’s beliefs and political affiliation might have a significant influence on a political article. With categories representing the main political ideologies, this problem may be thought of as a subset of the text categorization (classification). In general, the performance of machine learning models… More >

CHUAN JIANG^1,2, CHUNLEI LIU^1,3, XI YAO^1,3, JINGYA SU^1,2, WEI LU^1,3, ZHENGBO WEI^3,*, YING XIE^1,2,*

Oncology Research, Vol.32, No.12, pp. 1935-1948, 2024, DOI:10.32604/or.2024.052244 - 13 November 2024

Abstract Background: Head and neck squamous cell carcinoma (HNSCC) is a prevalent form of cancer globally, with chemoresistance posing a major challenge in treatment outcomes. The efficacy of the commonly used chemotherapeutic agent, cisplatin, is diminished in patients with poor prognoses. Methods: Various bioinformatics databases were utilized to examine Carboxylesterase 1 (CES1) gene expression, clinicopathologic features, patient survival analysis, and gene function. An organoid model of HNSCC was established, along with the induction of drug-resistant HNSCC in the organoid model. CES1 expression was assessed using qRT-PCR and Western Blot, and differential markers were identified through transcriptome… More >

ZEYIN LAI¹, HANGYUAN ZHAO¹, HONG DENG^1,2,*

BIOCELL, Vol.48, No.11, pp. 1569-1578, 2024, DOI:10.32604/biocell.2024.053983 - 07 November 2024

Abstract In the development of colorectal cancer (CRC), cancer-associated fibroblasts (CAFs) play a pivotal role in establishing tumor-permissive extracellular matrix structures, angiogenesis, and modulating the immune status of the tumor microenvironment (TME), thereby influencing tumor metastasis and resistance to radiotherapy and chemotherapy. The pleiotropic effects of CAFs in the TME may be attributed to the heterogeneous origin and high plasticity of their population. Given the specificity of CAFs, they provide a variety of potential target molecules for future CRC treatment, which may play an indispensable role in CRC therapeutic strategies. This review summarizes the origin of More >

Petrayuna Dian Omega¹, Joniarto Parung^1,*, Listyo Yuwanto¹, Yuh-Shan Ho^2,*

International Journal of Mental Health Promotion, Vol.26, No.10, pp. 817-836, 2024, DOI:10.32604/ijmhp.2024.056501 - 31 October 2024

Abstract Background: This study aimed to conduct a bibliometric analysis of positive mental health, focusing on citation performance, article title, abstract, author keywords, Keyword Plus, and their development trends. The novelty of this study is a pioneer within the field of positive mental health. Therefore, it delivered new ideas for researchers and practitioners who had concerns about positive mental health in terms of trends research which covered recommended articles and the research focus in recent years. Methods: The data were retrieved on 30 April 2024 from the Social Sciences Citation Index (SSCI) of Clarivate Analytics’ Web of… More >

Jeong Min Yang¹, Ji Sung Hong¹, Jae Hyun Kim^2,*

International Journal of Mental Health Promotion, Vol.26, No.10, pp. 791-803, 2024, DOI:10.32604/ijmhp.2024.056433 - 31 October 2024

Abstract Background: This study conducted a longitudinal analysis of the association between job satisfaction and stress or depressive symptoms of employed persons with disabilities (PWDs) based on the data from the 1st to 8th Pannel Survey of Employment for the Disabled (PSED). Methods: After excluding missing values, data on 1614 participants at baseline (1st wave) were analyzed using the chi-square test and generalized estimating equation (GEE) model for data from 1st to 8thPSED. Results: It was found that for each one-unit increase in the job satisfaction score, the stress scale decreased by 0.004 (B: −0.004, 95% CI:… More >

Dojin An¹, Nguyen Hoang Minh Thuan², Youngho Kim^1,*

International Journal of Mental Health Promotion, Vol.26, No.10, pp. 847-853, 2024, DOI:10.32604/ijmhp.2024.055568 - 31 October 2024

Abstract Background: In contemporary society, it has been widely witnessed that a surprising number of adolescents suffer emotional and mental health problems, and such turmoil is very often carried over into adulthood with serious implications for adjustment during the post-adolescent years. The purpose of the current study is to investigate the associations of physical activity with self-esteem, depression, and suicidal ideation. In addition, this study examined whether self-esteem and depression mediate the relationship between physical activity and suicide ideation in adolescents. Methods: The study participants were 946 (male: 527, female: 419) who attended junior high and… More >

Enas Yahya Alqulaity¹, Wael M.S. Yafooz^1,*, Abdullah Alourani², Ayman Jaradat³

Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 907-928, 2024, DOI:10.32604/iasc.2024.055470 - 31 October 2024

Abstract Arabic dialect identification is essential in Natural Language Processing (NLP) and forms a critical component of applications such as machine translation, sentiment analysis, and cross-language text generation. The difficulties in differentiating between Arabic dialects have garnered more attention in the last 10 years, particularly in social media. These difficulties result from the overlapping vocabulary of the dialects, the fluidity of online language use, and the difficulties in telling apart dialects that are closely related. Managing dialects with limited resources and adjusting to the ever-changing linguistic trends on social media platforms present additional challenges. A strong… More >

Sejin Choi^1,2, Ho-Seok Lee^1,2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.10, pp. 2519-2534, 2024, DOI:10.32604/phyton.2024.058012 - 30 October 2024

Abstract Plants interact with a complex network of microorganisms, forming a dynamic holobiont that is crucial for their health, growth, and adaptation. This interconnected system is deeply influenced by environmental factors, which modulate the relationships within the plant microbiome. Key environmental drivers such as light, temperature, and moisture can alter the balance of these interactions, impacting plant immunity, resilience, and overall fitness. The traditional disease triangle model, which emphasizes plant-pathogen-environment interactions, is enhanced by incorporating the role of the microbiome, revealing how microbial communities contribute to disease outcomes. This review highlights the importance of shifting focus More >