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65 articles for “Intervention model”

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Research ArticleOpen accessPhrase in the titleIntervention Model for Analyzing the Impact of Terrorism to Tourism IndustryZ. Ismail, Suhartono, A. Yahaya, R. EfendiProblem statement: It is common in time series data with extreme change in its mean caused by an intervention which comes from external and/or internal factors. This extreme change in mean is known as regime change or structural change. Problems of external factor intervention such as the effect of the Arab oil embargo to consumption level of electricity in United … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,944 accessesView PDFCite
Research ArticleOpen accessIn the abstractFabrication of Polysaccharides from a Fermented Tea and Their Antioxidant and Hypoglycemic ViabilityJun Li, Lingxian Tong, Bing Li et al.The hypoglycemic effects of tea have been extensively studied, with fermented tea demonstrating notable efficacy owing to its distinct processing methods. This study involved the extraction of tea polysaccharides from Wuniuzao Black Tea (WTP) using a water extraction and ethanol precipitation method. WTP-1 and WTP-2 were obtained by separation and purification using DEAE-52 cellulose columns. Antioxidant activity was evaluated utilizing … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 30 Jul 2026 · 655 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Metformin Treatment on Inflammatory Factors and Gut Microbial Diversity in Patients with Type II Diabetes MellitusLei Tong, Jingjing Zhang, Li Xiao Yue et al.With the persistent rise in the prevalence of Type 2 Diabetes Mellitus (T2DM), traditional treatment evaluations have primarily focused on glycemic control, often overlooking the multidimensional effects of medications. As a first-line therapeutic agent, the anti-inflammatory effects and gut microbiota regulation mechanisms of metformin remain incompletely elucidated. This prospective cohort study established a metformin treatment group and a T2DM control … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 20 Jul 2026 · 774 accessesView PDFCite
Research ArticleOpen accessIn the abstractMechanism of Mulberry's Effect on Intestinal Flora and MotilityHuizhen Zhao, Shijing Xie, Yuwen Li et al.Studies have indicated that mulberry consumption promotes intestinal motility and alleviates constipation, but the specific mechanism remains unclear. This study adopted a constipation mouse model to empirically analyze the effects of mulberry on intestinal motility, gut microbiota composition, and neurotransmitter levels, aiming to elucidate its mechanism of action. Key findings are as follows: 1) Compared with the model group, the … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 2 Jul 2026 · 1,189 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid BiGRU-BiLSTM Model for Real-Time ECG Arrhythmia Detection Using Wearable SensorsPrem Narayan Singh, Rajendra Prasad MahapatraAccurate and real-time detection of cardiac arrhythmias is essential for timely medical intervention. Advances in wearable devices and deep learning have made it feasible to continuously monitor electrocardiogram (ECG) signals, facilitating early identification of abnormal heart rhythms. For arrhythmia detection, this study presents a hybrid deep learning architecture combining Bidirectional Gated Recurrent Units (Bi-GRU) and Bidirectional Long Short-Term Memory (Bi-LSTM). … …Journal of Computer Science, Vol. 22, Issue 5 · 5 Jun 2026 · 1,331 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Soft Voting Ensemble of XGBoost and DNN for At-Risk Student Performance PredictionEugene Wan, Po Chan Chiu, Mohammad bin Hossin et al.Early identification of at-risk students in higher education is important for timely academic intervention, yet conventional prediction methods often struggle with data imbalance and limited model precision. This study proposes a hybrid soft voting ensemble model that integrates Extreme Gradient Boosting (XGBoost) and Deep Neural Network (DNN) to enhance multi-class student grade prediction (A-F classification) and at-risk student identification. This … …Journal of Computer Science, Vol. 22, Issue 5 · 28 May 2026 · 1,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation and Performance Evaluation of YOLOv8 for Wheat Fungal Disease DetectionShivani Sood, Shallu Duggal, Monika Sethi et al.Among the many difficulties in producing wheat, a vital food source for the world, there are biotic variables like fungal diseases, which drastically lower crop output. Around the world, biotrophic fungi particularly, leaf rust, powdery mildew, and yellow rusts-have become a constant threat to wheat production. Traditional methods of identification and mitigation are labor-intensive, slow, and imprecise, limiting therefore early … …Journal of Computer Science, Vol. 22, Issue 4 · 2 May 2026 · 1,599 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeurofeedback Therapy Meets Transformers: Rewiring Sleep Disorders Through AI-Driven EEG ModulationAmala Ann KA, Vaidhehi VSleep disorders such as insomnia, sleep Apnea, and hypersomnia significantly impair neurophysiological functioning, yet conventional treatments like Cognitive Behavioral Therapy for Insomnia (CBT-I) remain resource-intensive and difficult to personalize. This study introduces a novel AI-powered neurofeedback simulation framework designed to detect dysregulated EEG frequency band activity across sleep stages and simulate targeted interventions. A Transformer-based model serves as the core … …Journal of Computer Science, Vol. 22, Issue 2 · 3 Mar 2026 · 1,674 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Hybrid Machine and Deep Learning Model for Detecting Arabic Phishing EmailsFahad GhabbanPhishing emails are becoming an increasingly popular type of cybercrime on the internet, affecting both businesses and individuals. The attackers generally use various methods to trick victims and extract personal information from them, such as bank details, home addresses, and account information. Many attempts have been proposed to tackle this issue by using filtering mechanisms or automated classification methods which … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,897 accessesView PDFCite
Research ArticleOpen accessIn the abstractRetrospective Comparison of Intravenous Therapy, Oral Therapy, and Lipoglycopeptides for the Treatment of OsteomyelitisAlexander Joseph Stumphauzer, Ryan Paul Moenster et al.The use of Oral (PO) antibiotics and Lipoglycopeptides (LGP) is challenging the previous standard of Osteomyelitis (OM) treatment. This retrospective study included patients diagnosed with OM treated with Intravenous (IV) antibiotics, PO antibiotics, or LGP. The primary outcome was the occurrence of clinical failure within six months of therapy completion. Previous OM, surgical intervention as a part of management, presence … …American Journal of Infectious Diseases, Vol. 20, Issue 4 · 7 Feb 2025 · 8,013 accessesView PDFCite