Preoperative identification of low-risk patients for major complications after acute hip fracture surgery in geriatric patients: an observational cohort study by Eveline de Haan, Anna de Ronde, Louis de Jong, Veronique. A. J. I. M. van Rijckevorsel, DHFR, Gert R. Roukema

“…Patients with a low risk of complications may probably not require extensive geriatric care, enabling more efficient allocation of healthcare resources and contributing to cost reduction.…”
Get full text

Reserve antibiotics: overcoming limitations of evidence generated from regulatory approval trials by Lorenzo Moja, Mohamed Abbas, Marlieke EA de Kraker, Veronica Zanichelli, Loice Achieng Ombajo, Mike Sharland, Benedikt Huttner

“…Substantial failures occur in generating evidence to guide routine clinical use: preapproval studies lack representativeness, select outcomes and comparators to chase statistical significance, and often avoid using prespecified analytical methods. Three recommendations are key to enhance the quality and relevance of clinical data underpinning use of last resort molecules on the WHO AWaRe Reserve list active against carbapenem-resistant MDR-B i). separation of pivotal trials from post-approval studies, which should be funded by public programs and de-linked from commercial purposes, ii). development and maintenance of a global infrastructure to conduct post-approval public health focused studies, and iii). development of trial platforms that use efficient, adaptive designs to inform clinical decision making and country level technology appraisal. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

PERFORMANCE PREDICTION OF ROADHEADERS USING SUPPORT VECTOR MACHINE (SVM), FIREFLY ALGORITHM (FA) AND BAT ALGORITHM (BA) by Arash Ebrahimabadi, Alireza Afradi

“…Roadheaders play a crucial role in the excavation processes of tunnels and mines, offering efficient and precise cutting capabilities. The performance prediction of a roadheader is essential for optimizing operations and ensuring project success. …”
Get full text

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

“…Furthermore, academic institution and work organisation collaboration should be encouraged to develop improvement cycles that facilitate newly employed nurses’ prompt and efficient adaptation at MOH hospitals during transition.…”
Get full text

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. …”
Get full text

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

“…Future studies involving collaboration among oral radiologists, clinicians, and computer scientists are required to identify appropriate AI development models that are accurate, efficient, and applicable to clinical services.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

“…More thorough research is necessary to explore an efficient approach to managing comorbidities for preclinical AD patients.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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

“…However, there is a paucity of evidence on the selection and design of the primary health care delivery models used in humanitarian settings. To ensure efficient use of resources and quality of services, model of care selection should be evidence based and informed by the specific humanitarian context. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text