Machine Learning Approaches to Predict No-Shows in Saudi Arabian Primary and General Healthcare Settings by Abdulrahman Alshehri, Abdullah Saeed, Abdullah AlShafea, Sabah Althubiany, Mohammed Alshehri, Amer Alzahrani, Khalid Hakami, Lamia Ibrahim, Abdulrahim Alshehri, Rana Alamri

“…Future research should explore integrating more contextual data to further refine these predictive models and to enhance healthcare delivery and operational efficiency. …”
Get full text

New areas of the pharmacotherapy of rheumatic diseases are inhibition of interleukin-6 and interleukin-17 by Evgeny Lvovich Nasonov

“…Significant progress related particular to the use of interleukin (IL)-6 and IL17 inhibitors has been made in the pharmacotherapy of rheumatic diseases. …”
Get full text

Comparative Study of Regulations, Governance, Management, and Innovation Models in the Development of Muhammadiyah Waqf with Malaysia and Brunei Darussalam by Arin Setiyowati, Nisful Laila, Raditya Sukmana, Salma Nadia Salsabilla

“…The aim is to identify similarities and differences in their waqf systems and evaluate how governance and innovation impact community welfare. …”
Get full text

Comparative analysis of capillary threshold pressure measurement techniques: mercury intrusion porosimetry vs. innovative measuring tool for carbon storage by Ahsan Nabi Soomro, Łukasz Anioł, Mateusz Kudasik, Karol Dąbrowski, Stanisław Nagy

“…Threshold pressure is a critical parameter in evaluating the capillary sealing capacity of rocks, especially in reservoir and caprock studies related to CO2 storage and hydrocarbon recovery. In this research, we conducted a comparative analysis of two methods for measuring threshold pressure: the traditional mercury intrusion porosimetry (MIP), which operates under different fluid dynamics, and a new gas-water/brine system (e.g., CO2-water) using novel equipment. …”
Get full text

Mathematical modeling of pregnancy loss with normal embryo karyotype in the first trimester by N. N. Potapov, E. V. Kudryavtseva, V. V. Kovalev

“…Based on the identified patterns, a mathematical model has been developed allowing to determine the high risk of pregnancy loss in the first trimester (86.0 % efficiency).Conclusion. A comprehensive assessment of clinical and anamnestic indicators, molecular genetic parameters, spouse-related health indicators, it is possible to determine risk groups of pregnancy loss in case a normal embryo karyotype. …”
Get full text

Surgical treatment of inguinal hernias in children: review of methods and outcomes by S. S. Khilko, M. Yu. Morozova

“…The following criteria were applied to exclude irrelevant publications: the exclusion of duplicate data from different sources, as well as the exclusion of work related to the correction of inguinal hernias in the adult population. …”
Get full text

Two-circuit national monetary and financial system as a tool for overcoming sanctions problems: modeling and forecasting by S. Yu. Malkov, O. I. Davydova

“…The calculations have shown that the use of a two-circuit system together with an active investment policy significantly increases the Russian economy efficiency (even under Western sanctions), saturating it with money for GDP growth and at the same time reducing the inflationary pressure of a growing money supply.Scientific novelty: the authors propose a new financial system that combines digital assets and dual goods to ensure the economy sustainability under the sanctions. …”
Get full text

Leveraging Open-Source Large Language Models for Data Augmentation in Hospital Staff Surveys: Mixed Methods Study by Carl Ehrett, Sudeep Hegde, Kwame Andre, Dixizi Liu, Timothy Wilson

“… Abstract BackgroundGenerative large language models (LLMs) have the potential to revolutionize medical education by generating tailored learning materials, enhancing teaching efficiency, and improving learner engagement. However, the application of LLMs in health care settings, particularly for augmenting small datasets in text classification tasks, remains underexplored, particularly for cost- and privacy-conscious applications that do not permit the use of third-party services such as OpenAI’s ChatGPT. …”
Get full text

Joint classification and regression with deep multi task learning model using conventional based patch extraction for brain disease diagnosis by Padmapriya K., Ezhumalai Periyathambi

“…Our experimental results, which demonstrated significant increases in key performance metrics with 500 data such as specificity of 94.18%, sensitivity of 93.19%, accuracy of 96.97%, F1-score of 94.18%, RMSE of 22.76%, and execution time of 4.875 ms demonstrated the efficiency of the proposed method, Deep Multi-Task Convolutional Neural Network (DMTCNN). …”
Get full text

Development Features and Directions of Modern Management: In the Case of Ukrainian Health Care Institutions by Hanna Shvindina, Regina Veckalne, Inna Balahurovska, Nataliia Khrin

“…This paper aims to study the issues related to the development of Ukrainian management in current conditions. …”
Get full text

Simulation of reasonable shut-in time for shale oil after volume fracturing by LIAO Kai, ZHANG Shicheng, XIE Bobo

“…Based on the law of change in incremental oil volume, a reasonable shut-in time is identified to be between 30 to 45 days. ③ Considering real working conditions, “fracturing & well shut-in time” is proposed as an indicator for optimizing well shut-in, which aims to improve time efficiency and reduce differences between wells. This paper proposes an evaluation method and simulation workflow for assessing the well shut-in effects of volume fractured horizontal wells, offering valuable guidance in optimizing the reasonable shut-in time for shale oil fractured wells.…”
Get full text

Optimisation of the deployment of automated external defibrillators in public places in England by Terry P Brown, Lazaros Andronis, Asmaa El-Banna, Benjamin KH Leung, Theodoros Arvanitis, Charles Deakin, Aloysius N Siriwardena, John Long, Gareth Clegg, Steven Brooks, Timothy CY Chan, Steve Irving, Louise Walker, Craig Mortimer, Sandra Igbodo, Gavin D Perkins

“…Using these definitions, we then calculated coverage loss as assumed coverage minus actual coverage divided by assumed coverage. Coverage efficiency was calculated as the number of OHCAs covered divided by the number of POIs. …”
Get full text

The Effectiveness of Instruction Based on the Four-Component Instructional Design (4C-ID) Model on Meaningful Learning and Critical Thinking in Sixth-Grade Students of Ardabil by Nader Heidari Raziabad, Vahid Rahimzadeh, Ali Khaleghkhah

“…Educational design is a teaching and learning tool that makes educational materials more effective and efficient (Qasemi Samani et al., 2020). The theoretical perspective of the model (4C-ID) is that complex skill training should be guided by principles that promote learning and transfer of learning (Wade & et al, 2020). …”
Get full text

Structure- and machine learning-guided engineering demonstrate that a non-canonical disulfide in an anti-PD-1 rabbit antibody does not impede antibody developability by Wei-Ching Liang, Hongkang Xi, Dawei Sun, Luigi D’Ascenzo, Jonathan Zarzar, Nicole Stephens, Ryan Cook, Yinyin Li, Zhengmao Ye, Marissa Matsumoto, Jian Payandeh, Matthieu Masureel, Yan Wu

“…Next, and prompted by recent developments in machine learning (ML)-guided protein engineering, we used an unbiased ML- and structure-guided approach to rapidly and efficiently generate a different variant with recovered affinity. …”
Get full text

Multi-omics surveillance of antimicrobial resistance in the pig gut microbiome by Judith Guitart-Matas, Arturo Vera-Ponce de León, Phillip B. Pope, Torgeir R. Hvidsten, Lorenzo Fraile, Maria Ballester, Yuliaxis Ramayo-Caldas, Lourdes Migura-Garcia

“…Conclusions Different antimicrobial treatments can impact differently the transcriptome and resistome of microbial communities, highlighting the relevance of novel sequencing approaches to monitor the resistome and contribute to a more efficient antimicrobial stewardship.…”
Get full text

Risk Assessment and Dynamic Monitoring of China’s Agricultural Investment in Countries Along the Belt and Road Under the Guidance of Cultivated Land Resources by Yameng Wang, Guanglu Zhu, Mingyue Zhang, Songxiang Wang, Yuxin Han, Linyan Ma

“…Based on the five dimensions of politics, economy, society, agricultural management, and bilateral diplomatic and economic relations with China, this paper constructs an index system to assess the risks of China’s agricultural investment in 49 countries along “the Belt and Road” and uses nuclear density analysis, a Markov chain, and other methods to analyze the spatio-temporal evolution characteristics of different risks during 1995–2022. …”
Get full text

BEHAVIOUR OF INDIVIDUAL CONSUMERS AS AN OBJECT MANAGEMENT INTERESTS by Yurii Y. Petrunia, Vira Y. Petrunia, Olexander I. Guba

“…By contrast, the health condition affects the level of “social happiness” (social welfare), efficiency and productivity of social work (ability to perform a certain amount of work and provide a certain level of intensity), the corresponding costs of the state and local budgets connected with the prevention and treatment of diseases, the use of various compensation payments related to the health problems. …”
Get full text

Review of the Book: Vér, Márton. Old Uyghur Documents Concerning the Postal System of the Mongol Empire by Mustakimov I.A.

“…The pan-Eurasian network of couriers and postal stations, unprecedented in size and efficiency, became one of the most important imperial institutions of the Chinggisids. …”
Get full text

Combined application of life cycle assessment and neural network model for modeling energy and environmental emissions in sugar beet production by Imane Mehdi, Abdelhalim Chmarkhi, Mohammed Ammari, Laïla Ben Allal

“…The key critical points identified were related to the use of diesel, machinery, seeds, and pesticides. …”
Get full text

Epidemiological Informing of the Population in Cities: Models and Their Application by Vasiliy Osipov, Marina Osipova, Sergey Kuleshov, Alexandra Zaytseva, Aleksey Aksenov

“…For the quantitative substantiation of programs (scenarios), such epidemiological informing, a method based on new models of epidemic development in related cities is proposed. The method is characterized by a new objective function that links economic efficiency with the state of health of the population in an epidemic. …”
Get full text