Increased 30-day mortality associated with weekend emergency admission for alcohol-related liver disease in England: a record-linkage study using the Clinical Practice Research Dat... by Keith Bodger, Susanna Dodd, Thomas Mair, Steve Hood, Kate M Fleming, Benjamin Silberberg, Pietà Schofield, William Tench

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Increasing comprehensiveness and reducing workload in a systematic review of complex interventions using automated machine learning by Olalekan A Uthman, Rachel Court, Jodie Enderby, Lena Al-Khudairy, Chidozie Nduka, Hema Mistry, GJ Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

“…Future research should concentrate on enhancing the classifier system and determining how it can be integrated into the systematic review workflow. …”
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Development and validation of a decision tree model for prediction of insomnia risk among ischemic stroke convalescence patients by Xuefeng Sun, Zilin Wang, Yuqing Song, Deyu Cong, Shu Sun, Xinye Zhang, Ye Zhang, Hongshi Zhang

“…While the interaction of clinical, psychological, and social factors remains unclear, developing a predictive model system is urgently needed. Currently, few studies have established insomnia risk prediction models. …”
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Market and cadastral data comparison for the real estate market value forecasting by M. B. Laskin, P. A. Cherkesova

“…The relevance of the research is determined by the system-forming place that the real estate market occupies in the economy of the country and regions, affecting the interests of owners of various forms of ownership, construction and development companies, insurance companies, banks. …”
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Soybean Yield Estimation Using Improved Deep Learning Models With Integrated Multisource and Multitemporal Remote Sensing Data by Jian Li, Junrui Kang, Ji Qi, Jian Lu, Hongkun Fu, Baoqi Liu, Xinglei Lin, Jiawei Zhao, Hengxu Guan, Jing Chang, Zhihan Liu

“…Accurate soybean yield estimation is critically imperative for modern agricultural systems amid escalating global food security pressures, yet conventional methodologies are constrained for large-scale high-frequency monitoring. …”
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Interventions designed to increase scholarly activity and achieve promotion among primarily junior clinical faculty in the United States: a scoping review by Heather A. Billings, Ashlee Mills Duffy, Gary L. Beck Dallaghan, Emily J. Glenn, Eric S. Peeples, Matthew R. Sandbulte, Jason F. Shiffermiller, Carrie Valenta, Bethany R. Lowndes, Jana L. Wardian

“…We employed a structured data extraction algorithm, extracted data in dyads, and resolved any inconsistencies using a third extractor. …”
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Predicting forest above-ground biomass using SAR imagery and GEDI data through machine learning in GEE cloud by Chiranjit Singha, Kishore Chandra Swain, Satiprasad Sahoo, Ayad M. Fadhil Al-Quraishi, Joseph Omeiza Alao, Hussein Almohamad, Mohamed Fatahalla Mohamed Ahmed, Hazem Ghassan Abdo

“…The study was conducted to develop an effective approach to predict Forest Above-Ground Biomass (AGB) using Machine Learning, Image Classification, and GEE open-source fast processing system in the Similipal Tiger Reserve (STR), India. …”
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Breast cancer is a threatening scenario resulting from the development of endometriosis and benign breast disease overlap syndrome: literature review by T.A. Lunko, O.O. Lytvynenko, A.S. Lunko, S.V. Konovalenko, A.V. Khmel

“…It is advisable to consider hyperplastic diseases as a generalized process in the reproductive system, and to develop single therapeutic tactics when gynecological pathology is combined with breast diseases. …”
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Choosing a method for correcting anxiety in children aged 4–12 years before dental treatment by I. A. Nikolskaya, E. N. Anisimova, I. S. Kopetskiy, N. Yu. Anisimova, P. A. Voronin, V. A. Katyukhina

“…In addition, in a state of anxiety, the work of many organ systems changes and an increase in heart rate is the most common indicator. …”
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Clear Cell Acanthoma/Pseudolymphoma: Clinical­ Dermatoscopic and Histological Correlation by Shulaia T., Kiladze N., Miriamidze A.

“…Content analysis, method of system and comparative analysis, bibliosemantic method of studying of relevant scientific research were used. …”
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Conversion relationships and three-dimensional storage and utilization modes of four water resources in an open-pit mining area by Tianci CHEN, Zhimin XU, Yajun SUN, Jie FANG, Qiangmin WANG, Xiaofeng XIONG, Yuhao ZHU, Zihan LU, Fei WAN

“…By constructing an allocation model for the four water resources using an improved genetic algorithm, this study established a three-dimensional storage and comprehensive allocation and utilization system characterized by four water resources, five storage modes, and five utilization pathways for the open-pit mining area. …”
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Epidemiological Features of Chronic Lung Infection in Patients with Cystic Fibrosis by I. A. Shaginyan, M. Yu. Chernukha, L. R. Avetisyan, E. A. Siyanova, D. G. Kulyastova, O. S. Medvedeva, T. B. Priputnevich, D. Yu. Trofimov, A. V. Gordeev, E. I. Kondratieva, E. L. Amelina, S. A. Krasovskiy

“…Life expectancy of cystic fibrosis patients mostly depends on the degree of respiratory system damage caused by opportunistic microorganisms, which is due to the fact that 90-95% of deaths of cystic fibrosis patients are caused by lung infections. …”
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Non-invasive fractional flow reserve: a comparison of one-dimensional and three-dimensional mathematical modeling effectiveness by D. G. Gognieva, E. S. Pershina, Yu. O. Mitina, T. M. Gamilov, R. A. Pryamonosov, N. A. Gogiberidze, A. N. Rozhkov, Yu. V. Vasilevsky, S. S. Simakov, F. Liang, V. E. Sinitsyn, V. B. Betelin, D. Yu. Schekochikhin, A. L. Syrkin, F. Yu. Kopylov

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Optimized intelligent learning for groundwater quality prediction in diverse aquifers of arid and semi-arid regions of India by Imran Khan, Sarwar Nizam, Apoorva Bamal, Abdul Majed Sajib, Mir Talas Mahammad Diganta, Mohd Azfar Shaida, S.M. Ashekuzzaman, Stephen Nash, Agnieszka I. Olbert, Md Galal Uddin

“…This study employs the eXtreme Gradient Boosting (XGB) algorithm, demonstrating strong predictive capabilities within the RMS-WQI model across diverse aquifers of Rajasthan. …”
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Rancang Bangun Purwarupa Pemilah Sampah Pintar Berbasis Deep Learning by Kahlil Muchtar, Nyak Twoman Anshari, Chairuman Chairuman, Khalid Alhabibie, Khairul Munadi

“…Based on these problems, the researcher proposes a system that is able to recognize and sort organic waste, and inorganic waste. …”
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Desain Layanan E-Surat untuk Desa Waru Barat, Pamekasan, Madura menggunakan QR-Code by Wahyudi Agustiono, Intan Rofika Putri, Devie Rosa Anamisa

“…Despite these practical implication, the contribution of this research, especially to the IT discipline which could be adopted in the future study, is the system architecture and e-certificate application along with the algorithm for generating unique QR Code to ensure the security and validity of the document.            …”
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Acute Coronary Syndrome in Patients With 2 Type Diabetes Mellitus (Review of Literature; Description of the Clinical Case) by Bilous Z., Abrahamovych О., Mazur N., Ryabokon S., Ilenkiv N., Bevza N.

“…The problem of the influence of insulin resistance on the system of extracellular matrix is ​​controversial. …”
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Predictive Factors for COVID-19 Severity in Patients with Axial Spondyloarthritis: Real-World Data from the Romanian Registry of Rheumatic Diseases by Andreea-Iulia Vlădulescu-Trandafir, Violeta-Claudia Bojincă, Cristina Popescu, Constantin Munteanu, Andra-Rodica Bălănescu, Aurelian Anghelescu, Justin Aurelian, Roxana Bistriceanu, Sebastian Giuvara, Elena Grădinaru, Emanuela-Elena Mihai, Daniel Nițu, Mihaela-Ruxandra Vintilă, Gelu Onose

“…The lessons learned during these last years can shape a more informed and compassionate healthcare system.…”
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Research on Thermodynamic Properties of the CO₂ Medium During Phase Transition Excited by Energetic Agent by SHEN Zhiqiang, XIA Jun, ZHANG Fanzhen, YANG Lijun

“…A zero-dimension theory prediction model is established in our work and can be used to obtain the thermodynamic parameters of the CO₂ working fluid during exciting process more easily.MethodsBased on the geometric combustion hypothesis of energetic agents and the thermodynamic conservation laws of the system, a thermodynamic performance prediction model for the phase change process of CO₂ working medium excited by energetic agents was established, and the classical Runge-Kutta step-by-step integration algorithm was used to get numerical solution. …”
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A Deep Learning-Based Echo Extrapolation Method by Fusing Radar Mosaic and RMAPS-NOW Data by Shanhao Wang, Zhiqun Hu, Fuzeng Wang, Ruiting Liu, Lirong Wang, Jiexin Chen

“…Furthermore, as the extrapolation time increases, the smoothing effect inherent to convolution operations leads to increasingly blurred predictions. To address the algorithmic limitations of deep learning-based echo extrapolation models, this study introduces three major improvements: (1) A Deep Convolutional Generative Adversarial Network (DCGAN) is integrated into the ConvLSTM-based extrapolation model to construct a DCGAN-enhanced architecture, significantly improving the quality of radar echo extrapolation; (2) Considering that the evolution of radar echoes is closely related to the surrounding meteorological environment, the study incorporates specific physical variable products from the initial zero-hour field of RMAPS-NOW (the Rapid-update Multiscale Analysis and Prediction System—NOWcasting subsystem), developed by the Institute of Urban Meteorology, China. …”
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