The Orienteering Problem with Time Windows for Optimizing Trabzon City’s Tourism Route by Betül Kara, Ezgi Öztürk, Minel Canbaz, Ertuğrul Ayyıldız

“…This study utilizes the analytical hierarchy process (AHP) and the technique for order preference by similarity to an ideal solution (TOPSIS), which are widely used multi-criteria decision-making (MCDM) methods, to determine the benefit scores of the visitation points. …”
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Sero-prevalence and PCR identification of lumpy skin disease virus in cattle at Mymensingh district of Bangladesh by Saad Muhammad Rafe-Ush-Shan, Ruhena Begum, Milton Roy, Muhammad Mujahidul Islam, Hemayet Hossain, Md. Shahidur Rahman Chowdhury, Md. Bashir Uddin, Md. Mahfujur Rahman, Md. Mukter Hossain

“…The findings of this study will be helpful in creating efficient methods for identifying and managing LSD in Bangladesh and avoiding the financial losses connected with dairy production.…”
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Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach by Gideon Addo, Bismark Amponsah Yeboah, Michael Obuobi, Raphael Doh-Nani, Seidu Mohammed, David Kojo Amakye

“…Materials and Methods: This study utilized data from a previous cohort study conducted in Bangladesh. …”
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The influencing factors of newly employed nurses’ adaptation in Malaysia: a structural equation modelling assessment by Hafidza Baharum, Aniza Ismail, Zainudin Awang, Lisa McKenna, Roszita Ibrahim, Zainah Mohamed, Nor Haty Hassan, Abdul Haniff Mohamad Yahaya

“…The study framework was derived and adapted from the Roy adaptation model and organisational socialisation theories. Methods This quantitative study was conducted from May 2021 to December 2021. …”
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Sleep-wake patterns of fencing athletes: a long-term wearable device study by Jiansong Dai, Xiaofeng Xu, Gangrui Chen, Jiale Lv, Yang Xiao

“…Objective Sleep is the most efficient means of recovery for athletes, guaranteeing optimal athletic performance. …”
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The diagnostic performance of impacted third molars in the mandible: A review of deep learning on panoramic radiographs by Amalia Nur Faadiya, Rini Widyaningrum, Pingky Krisna Arindra, Silviana Farrah Diba

“…Meanwhile, the accuracy of deep learning in determining the relationship between ITM and the mandibular canal (MC) ranges from 72.32% to 99%. …”
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Managing complexity in cross-cohort classrooms: strategies for effective implementation of real-life projects by Syaamantak Das, Sridhar Iyer

“…It identifies teaching-learning challenges, determines appropriate instructional strategies, and evaluates the effectiveness of solutions in facilitating real-life project-based learning. …”
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Bayesian spatio-temporal disease mapping of COVID-19 cases in Bangladesh. by Sefat-E- Barket, Md Rezaul Karim, Md Sifat Ar Salan

“…<h4>Methods</h4>The study employed Bayesian spatio-temporal Poisson modeling to determine the most suitable model, including linear trend, analysis of variance (ANOVA), separable models, and Poisson temporal model for spatiotemporal effects. …”
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Deep Learning-Based Web Application for Automated Skin Lesion Classification and Analysis by Serra Aksoy, Pinar Demircioglu, Ismail Bogrekci

“…Methods: Various DL models, like Xception, DenseNet169, ResNet152V2, InceptionV3, MobileNetV2, EfficientNetV2 Small, and NASNetMobile, were compared for classification accuracy. …”
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The role of personal anxiety in the development of psychophysiological indicators in adolescent athletes by A. A. Makarova, O. A. Kharkova

“…Objective: to study the role of personal anxiety in the development of psychophysiological indicators in adolescent athletes.Materials and methods. To study the prevalence of high levels of personal anxiety (hereinafter — LT), as well as to determine the characteristics of psychophysiological indicators, the study involved 23 teenagers — boys and girls who were representatives of different sports. …”
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An early warning model for predicting major adverse kidney events within 30 days in acute pancreatitis patients by Qiulong Wang, Juantao Lv, Dongdong Chen, Xiaojun Yang

“…Univariate and multivariate logistic regression analyses were performed to determine the independent risk factors for MAKE30 in the aforementioned patient cohort. …”
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Pre-treatment subjective sleep quality as a predictive biomarker of tDCS effects in preclinical Alzheimer's disease patients: Secondary analysis of a randomised clinical trial. by Hanna Lu, Xi Ni, Sandra Sau Man Chan, Calvin Pak Wing Cheng, Waichi Chan, Linda Chiu Wa Lam

“…<h4>Methods</h4>This clinical trial aimed to compare the effectiveness of tDCS and cognitive training in mild NCD-AD patients (n =  201). …”
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Correlating Cleaning Thoroughness with Effectiveness and Briefly Intervening to Affect Cleaning Outcomes: How Clean Is Cleaned? by Robert Clifford, Michael Sparks, Eve Hosford, Ana Ong, Douglas Richesson, Susan Fraser, Yoon Kwak, Sonia Miller, Michael Julius, Patrick McGann, Emil Lesho

“…<h4>Objectives</h4>The most efficient approach to monitoring and improving cleaning outcomes remains unresolved. …”
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Evaluating the impact of amino acid spray on melon (Cucumis melo L.) growth under hydroponic conditions at Polije SGH by Tri Rini Kusparwanti, Rindha Rentina Darah Pertami, Netty Ermawati, Suwardi Suwardi, Abdurrahman Salim

“…In addition to humans, plants also need amino acids to increase overall yields and quality. Methods: This study aims to determine the effect of providing the best Amino Plant concentration for the growth and production of melon plants. …”
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Exploring factors influencing the selection of primary health care delivery models in conflict-affected settings of North West and South West regions of Cameroon and North-East Nig... by Lundi-Anne Omam, Kelli O'Laughlin, Nicholas Tendongfor, Zara Wudiri, Mohammed Ngubdo Hassan, Alain Metuge, Ooju Oluwafemi, Esther Omam, Rosalind Parkes-Ratanshi

“…This research protocol aims to explore how primary health care models are selected by humanitarian organizations.<h4>Methods</h4>We will conduct a cross sectional quantitative survey to map the range of primary health care delivery models used by humanitarian organisations in Cameroon and Nigeria. …”
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Role of metabolic transformation in cancer immunotherapy resistance: molecular mechanisms and therapeutic implications by Sandesh Shende, Jaishriram Rathored, Tanushree Budhbaware

“…Gaining knowledge of metabolic processes can help develop efficient treatments that improve immunotherapy's effectiveness. …”
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Microfluidic Nanobioplatform-Based Immunosensor for Monitoring of 25-Hydroxy Vitamin-D3 by Deepika Chauhan, Zimad Hashmi, Rishi Raj, Pratima R. Solanki

“…Hence, it is important to find new methods for efficient rapid testing for clinical diagnosis and public health prevention. …”
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Effectiveness of a clinical decision support system with prediction modeling to identify patients with health-related social needs in the emergency department: Study protocol. by Olena Mazurenko, Christopher A Harle, Justin Blackburn, Nir Menachemi, Adam Hirsh, Shaun Grannis, Malaz Boustani, Paul I Musey, Titus K Schleyer, Lindsey M Sanner, Joshua R Vest

“…This project aims to implement and evaluate a CDS intervention that offers ED clinicians risk prediction scores to determine which patients will likely screen positive for one or more HRSNs.…”
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Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model by Md. Siddikur Rahman, Miftahuzzannat Amrin, Md. Abu Bokkor Shiddik

“…ABSTRACT Background and Aims A life‐threatening vector‐borne disease, dengue fever (DF), poses significant global public health and economic threats, including Bangladesh. Determining dengue risk factors is crucial for early warning systems to forecast disease epidemics and develop efficient control strategies. …”
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Clinical parameters of the local anesthetic effects of bupivacaine applied with and without a vasoconstrictor in oral implantology by Duka Miloš, Lazić Zoran, Stamatović Novak, Tatić Zoran, Bubalo Marija, Veljović Milić

“…Methods. This investigation included a total of 30 randomly selected patients, who ranged in age from 30−60 years, with partial or total anodontia in the molar region of the mandible. …”
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