25 results for “Ethical issues”

Set a search alert

Research ArticleOpen accessPhrase in the titleEthical Issues in E-Commerce on the Basis of Online RetailingSinan Nardal, Ayse SahinProblem statement: The rapid spread of e-commerce has created tremendous opportunities for economic efficiency and customer choice. Use of the global Internet computer network for ecommerce activities provides some advantages to the consumers on their daily life. On the other hand Internet represents a new environment for unethical behavior. While e-commerce has witnessed extensive growth in last decade, consumers concerns … …Journal of Social Sciences, Vol. 7, Issue 2 · 10 Feb 2011 · 23,399 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleA Case Vignette and Review of Maladaptive Denial and Related Ethical IssuesMerideth Prevost, Wendy H. Gerstein, Natalie M. Salas et al.Maladaptive denial is a pathological reaction to the symptoms, signs or diagnosis of a physical illness. The dominant response is persistent denial of having the physical disorder. Maladaptive denial typically results in the inability of the patient to provide informed consent to treatment due to the refusal to acknowledge an underlying disease process. This pathologic behavior exposes the affected individual … …Current Research in Medicine, Vol. 7, Issue 1 · 12 Nov 2016 · 7,821 accessesView PDF Cite

Research ArticleOpen accessIn the abstracte-Governance Practices in Nepal: Opportunities, Challenges, and Strategies from the Local LevelReg Bahadur Bhandari, Nirav Bhatta et al.This research explores the integration of digital tools for e-governance at local levels in Nepal, with a particular emphasis on the current state of digitalization and the opportunities and challenges encountered at the local level. We collected data using a qualitative research methodology, conducting semi-structured interviews and reviewing relevant documents. The findings reveal substantial advancements in digital tools for public … …Journal of Computer Science, Vol. 22, Issue 1 · 16 Feb 2026 · 2,189 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAdaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network ProtectionSina AhmadiThe growing complexity of cyberattacks has necessitated the evolution of firewall technologies from static models to adaptive, machine learning-driven systems. This research introduces “Dynamically Retrainable Firewalls”, which respond to emerging threats in real-time. Unlike traditional firewalls that rely on static rules to inspect traffic, these advanced systems leverage machine learning algorithms to analyze network traffic patterns dynamically and identify threats. … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,558 accessesView PDF Cite

Review ArticleOpen accessIn the abstractWeb Scraping for Product Recommendations: A Review of Techniques and ApplicationsAmarinder Kaur, Deepak PrasharA comprehensive method for developing a reliable product recommender system leveraging sophisticated web scraping technologies, machine learning, and natural language processing techniques. The proposed system addresses key challenges in personalized product recommendation, including the difficulty of integrating diverse data from multiple e-commerce platforms, ensuring data quality, and improving recommendation accuracy to enhance user experience. Specifically, this research tackles issues related … …Journal of Computer Science, Vol. 21, Issue 6 · 21 Jun 2025 · 4,225 accessesView PDF Cite

Research ArticleOpen accessIn the abstractBlockchain: An Efficient Intelligent Agreement for Patents and TrademarksVikram Shirol, Shanmuga RathinamIntellectual property security faces problems in the digital era, with growing piracy, AI-generated works, and global compliance problems, Creations, designs, trademarks, and trade secrets are all protected by Intellectual Property (IP) rights; yet, there are several issues with IP rights management and enforcement around the world. The benefits of blockchain technology include decentralization, transparency, and immutability. Therefore, blockchain offers to … …Journal of Computer Science, Vol. 21, Issue 3 · 20 Feb 2025 · 5,491 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPM2.5 Prediction Using Homogenous and Heterogenous Ensemble Learning: A Comprehensive EvaluationShrabani Medhi, Minakshi GogoiAir pollution is a global issue. PM2.5 is considered to be the most dangerous pollutant. Prediction of PM2.5 concentration is important so that effective measures can be taken beforehand. A multitude of machine learning methodologies have been employed in forecasting PM2.5 levels, utilizing diverse combinations of ensemble classifiers and regressors. However, there are three important issues that need to be … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 5,176 accessesView PDF Cite

Research ArticleOpen accessIn the abstractWater Characteristics Assessment, Bioaccumulation and Health Risk Evaluation of Possible Ingestion of Toxic and Essential Metals in Chromidotilapia guntheri Sourced from Ada River, West AfricaTunde Ohiokhioya Thaddeus Imoobe, Eugene Iragboghie Okhakhu, Osikemekha Anthony AnaniThe water ecosystem has been acclaimed to be polluted with various chemicals that may pose possible risks to the biota therein and affect the end consumers who ingest them via the food chain system. This study evaluates the water characteristics, bioaccumulation and non-carcinogenic risk potentials in the ingestion of toxic metals like (Cu, Fe, Zn, Mn and Pb) in Chromidotilapia … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 18 Mar 2024 · 4,772 accessesView PDF Cite

Research NotesOpen accessIn the abstractAdvance in the Diagnostics of Mare Pregnancy and Assessing the Activity of Gonadotropin in Serum of in-Foal MareKaliya Kudaikulovna Yerkekulova, Nuradin Alibayev, Yusupzhan Artykovich Yuldashbayev et al.Research works on the improvement of mare pregnancy diagnostics and evaluation of biological activity of gonadotropic preparation based on the use of enzyme-linked immunosorbent assay were carried out. As the result of diagnostics and evaluation, effective producers as donors for obtaining gonadotropic preparation among the Kazakh population of mares with type “zhabe”, the animal units of 60 days with their … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 7 Mar 2024 · 4,828 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSecuring Mobile Devices from Malware: A Faceoff Between Federated Learning and Deep Learning Models for Android Malware ClassificationNarayan Subramanian, Logesh Ravi, Mithin Jain Shaan et al.Amidst the escalating threats of android malware, urgency mounts to detect issues while safeguarding user privacy. Traditional machine learning and deep learning methods, dealt with scalability challenges and privacy compromises, finding a potential remedy in federated learning. This study introduces a groundbreaking federated learning-based methodology and compares federated learning with traditional deep learning techniques for Android malware classification, employing renowned … …Journal of Computer Science, Vol. 20, Issue 3 · 23 Jan 2024 · 6,284 accessesView PDF Cite