Research ArticleOpen accessIn the abstractThe Path to Treatment: Does It Matter? Relapse and the Reason for Seeking TreatmentEvelyn A. Cage, Annette S. KluckProblem statement: Substance abuse is difficult to treat and many of those who struggle with substance abuse do not see treatment as necessary. Moreover, relapse is common among those who receive treatment. Family and friends of Individuals With Addictions (IWAs) sometimes use ultimatums to encourage the IWA to enter treatment. What is less clear is whether IWAs are more likely … …Current Research in Psychology, Vol. 1, Issue 1 · 30 Jun 2010 · 7,640 accessesView PDFCite
Research ArticleOpen accessIn the abstractDairy Heifer Rearing in Hot Arid Zone: An Economic AssessmentM. A. Razzaque, S. A. Mohammed, T. Al-MutawaProblem statement: Economic losses due to high mortality in young calves born in hot arid zone including Kuwait and a high cost of rearing are the main constraints to this region. Therefore, dairy producers have to depend on importation of pregnant heifers for herd replacement. Research data on cost of heifer rearing from their weaning to first lactation were lacking. … …American Journal of Applied Sciences, Vol. 7, Issue 4 · 30 Apr 2010 · 7,547 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss ModelingA. Josephine, A. SubhashiniPrecision agriculture utilizes cutting-edge technologies to maximize the management of crops, enhance utilization of resources, and maximize yield forecasting. This study critically analyzes 53 peer-reviewed articles to evaluate advancements in image-based stress detection and yield prediction techniques for precision agriculture. The review enumerates main issues, such as image-based analysis methods, different crop stress aspects (biotic, environmental, and abiotic), and remote … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Dec 2025 · 2,520 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating Barriers to the Adoption of Augmented Reality-based Applications in Education System: DEMATEL ApproachMonika Nijhawan, Nidhi Sindhwani, Sarvesh Tanwar, Shishir KumarAugmented Reality (AR) is an emerging technology that enhances user perception by overlaying virtual information onto the physical world. In educational contexts, AR integration has demonstrated potential to improve learning engagement, motivation, and conceptual understanding among students. However, teachers face numerous challenges when incorporating AR technologies into classroom instruction, including technical difficulties stemming from inadequate training, resistance to technology adoption, … …Journal of Computer Science, Vol. 21, Issue 10 · 17 Dec 2025 · 2,422 accessesView PDFCite
Research ArticleOpen accessIn the abstractFedCarepod: Federated Quantum Transfer Learning Approach in Screening Process for Early Detection of Liver AbnormalitiesK MalaThe liver is the most frequently injured intra-abdominal organ that leads to complications. Visual interpretation depends on the expertise, and this justifies the need for automatic accelerated assistive prediction system. Classical and Quantum machine learning approaches are combined to leverage their benefits, and the feasibility of designing a novel system is explored. This approach successfully ends up with health care … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,076 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Review on Ramie (Boehmeria nivea L. Gaudich.): From Textile to Medicine and the Threats of Pests and DiseasesVictor Corbita, Mari Neila Seco, Leny Galvez et al.Ramie (Boehmeria nivea L. Gaud.), also known as “China grass”, is a perennial herbaceous plant of the Urticaceae family. Ramie is considered one of the ancient and important economic and natural fiber crops today. Indeed, ramie fiber ranks first in durability, tensile strength, length of fiber cells, fineness, and color. Aside from its role in the textile industry, ramie is … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 2 Dec 2025 · 3,966 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Deep Learning Approach for Telugu Domain Identification with Multichannel LSTM-CNNBuddha Hari Kumar, Chitra Perumal, Inakoti Ramesh Raja et al.The vast growth of textual data has ushered into the limelight, a plethora of applications in information retrieval and natural language processing (NLP). Proper extraction of information from text is heavily dependent on recognizing the thematic content, which becomes crucial in the tasks of document summarization, information extraction, question answering, machine translation, and sentiment analysis. The great complexity of this … …Journal of Computer Science, Vol. 21, Issue 9 · 26 Nov 2025 · 2,400 accessesView PDFCite
Research ArticleOpen accessIn the abstractError Identification and Mitigation Analysis Method Using HFACS on VR HMDNkingo June Thomas, Yan SuHuman error has long been recognized as a key factor influencing safety, performance, and efficiency in complex tasks, including those involving advanced technologies. In the context of Virtual Reality (VR) Head-Mounted Displays (HMDs), which are increasingly applied in fields such as aviation maintenance, the presence of human errors can compromise both user experience and operational reliability. This paper presents a … …Journal of Aircraft and Spacecraft Technology, Vol. 9, Issue 1 · 24 Nov 2025 · 2,944 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnimal Health Prediction Using Hybrid KNN Based Vector Neighbor Classification Model: A Machine Learning ApproachJ. Rathi, A. SumathiAnimal condition disease prediction is a crucial task in veterinary medicine, and accurate prediction can significantly improve animal health and reduce economic losses. This paper proposed a novel hybrid classification model that combines an Improved Fuzzy-based feature selection process with a Hybrid KNN-based Vector Neighbor Classification model to enhance animal condition disease prediction. The proposed model aims to improve the … …Journal of Computer Science, Vol. 21, Issue 9 · 21 Oct 2025 · 2,905 accessesView PDFCite