THE EPIDEMIOLOGICAL ASPECTS OF CARIES SPREADING AND THE PECULIARITY OF DEVELOPMENT OF CARIOGENIC SITUATION IN THE CHILDREN WITH BRONCHIAL ASTHMA by O.V. Vozniy, T.Ye. Shumna, Ye.S. Lepetchenko

“…This fact places them into the group of higher risk of caries development. But the influence of these drugs on the progress of tooth decay and saliva secretion is not studied well. …”
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THE EPIDEMIOLOGICAL ASPECTS OF CARIES PREVALENCE AND THE PECULIARITY OF DEVELOPMENT OF CARIOGENIC SITUATION IN THE CHILDREN WITH BRONCHIAL ASTHMA by O.V. Voznyi, T.Ye. Shumna, Ye.S. Lepetchenko

“…This fact places them into the group of higher risk of caries development. But the influence of these drugs on the progress of tooth decay and saliva secretion is not well studied. …”
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Disorders of sex development 45,X/46,XY: clinical and laboratory characteristics of patients by Oleg Yu. Latyshev, Ekaterina S. Sannikova, Lubov N. Samsonova, Elena V. Kiseleva, Goar F. Okminyan, Olga M. Dondup, Elvira P. Kasatkina

“…Anthropometric data, external and internal genitalia, hormonal parameters in mini-pubertal, neutral and pubertal periods were assessed; histological examination of the gonads and screening of development malformations were performed.Results. …”
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Machine learning prediction of anxiety symptoms in social anxiety disorder: utilizing multimodal data from virtual reality sessions by Jin-Hyun Park, Yu-Bin Shin, Dooyoung Jung, Ji-Won Hur, Seung Pil Pack, Heon-Jeong Lee, Hwamin Lee, Chul-Hyun Cho, Chul-Hyun Cho

“…IntroductionMachine learning (ML) is an effective tool for predicting mental states and is a key technology in digital psychiatry. This study aimed to develop ML algorithms to predict the upper tertile group of various anxiety symptoms based on multimodal data from virtual reality (VR) therapy sessions for social anxiety disorder (SAD) patients and to evaluate their predictive performance across each data type.MethodsThis study included 32 SAD-diagnosed individuals, and finalized a dataset of 132 samples from 25 participants. …”
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Fall incidents in nursing home residents: development of a predictive clinical rule (FINDER) by Hugo M van der Kuy, Dennis Wong, Brigit P C van Oijen, Kim P G M Hurkens, Vanja Milosevic, Aimee Linkens, Carlota Mestres-Gonzalvo

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The role of earnings management as mediator the effect of male CEO masculinity face on Research & Development by Januar Eko Prasetio, Sabihaini, Sudaryanto, Haryati Setyorini, Rusdiyanto, Anisaul Hasanah, Adiba Fuad Syamlan, A. Maya Rupa Anjeli

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Developing Programming Skills Using Dynamic Adaptive Gamification in AI-Powered Learning Environments by samar nosir

“…Following the experimental intervention and data analysis, statistically significant differences were observed between the pre- and post-test results, favoring the post-test outcomes in both the achievement assessment and the observation checklist for programming skills. …”
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Study protocol for a single-blind, parallel-group, randomised, controlled non-inferiority trial of 4-day intensive versus standard cognitive behavioural therapy for adults with obs... by David Mataix-Cols, Oskar Flygare, Erik Andersson, Sofia Dahlén, Volen Z Ivanov, Christian Rück, Filipa Sampaio, Ekaterina Ivanova, Robin Fondberg, Max Sannemalm, Sofia Asplund

“…Hypotheses were specified and analysis code published before data collection started. …”
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Market-oriented land transfers in rural Vietnam: navigating challenges for sustainable and equitable development by Ngoc Minh Trang Nguyen, Zikun Cai, Tiantian Zhang

“…Using a mixed-methods approach, the research integrates quantitative data from land transfer records and economic statistics with qualitative insights from interviews and focus group discussions conducted in the Red River Delta, Mekong Delta, and Central Highlands. …”
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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 utilized six machine learning models and integrated various data sources, including Sentinel-1 and Sentinel-2 imagery, forest canopy height data from NASA’s GEDI Global Ecosystems Dynamics Investigation-LiDAR, geo-environmental Shuttle Radar Topography Mission (SRTM) data, and Climate Hazards Group Infrared precipitation with Station (CHIRPS) data. …”
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Effect of Sodium-Glucose Cotransporter Type 2 Inhibitors on The Development and Course of Atrial Fibrillation by D. A. Ishmaev, M. S. Vasileva, D. V. Duplyakov

“…In order to find an answer to this question, a literature review was conducted, which showed that inhibitors of sodium-glucose cotransporter type 2 can theoretically have an antiarrhythmic effect realized through several mechanisms. Analysis of scientific data suggests that in most cases, the use of sodium-glucose cotransporter type 2 inhibitors reduces the risk of first-time atrial fibrillation, has a positive effect on the course of arrhythmia and reduces the risk of its recurrence after ablation. …”
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Developing Visible Thinking and Motivation Through the Curricular Design of an Escape Room in Higher Education by Naiara Bilbao-Quintana, Arantzazu López-de la Serna, Ainara Romero-Andonegui, Eneko Tejada-Garitano

“…In particular, the students consider that they have developed group thinking, critical thinking, and the activation of prior knowledge through the escape room and have found it a motivating experience. …”
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Nurses’ Perceptions on How Recovery-Oriented Mental Health Care Can Be Developed and Implemented by Kebope Mongie Kealeboga, Mofatiki Eva Manyedi, Salaminah Moloko-Phiri

“…Data were collected from February to mid-March 2022 through online focus group discussions and analysed using thematic analysis. …”
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ON THE TIME AND CONDITIONS OF FORMATION OF THE SHOKSHA QUARTZITE-SANDSTONES OF THE SOUTH ONEGA DEPRESSION BASED ON THE NEW DATA FROM ISOTOPE GEOCHRONOLOGY by N. B. Kuznetsov, S. Yu. Kolodyazhnyi, T. V. Romanyuk, A. V. Strashko, A. S. Baluev, E. N. Terekhov, S. V. Mezhelovskaya, A. S. Dubensky, V. S. Sheshukov

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Identification of developmental and reproductive toxicity of biocides in consumer products using ToxCast bioassays data and machine learning models by Donghyeon Kim, Siyeol Ahn, Jinhee Choi

“…This analysis revealed 25 bioassays with statistically significant correlations to in vivo DART data. …”
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Development of brain metastases in non-small-cell lung cancer: high-risk features by Nolan Winslow, Jacqueline Boyle, William Miller, Yanzhi Wang, Francois Geoffroy, Andrew J Tsung

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Determinants of Working Capital Investments: Evidence from the Lodging Companies in Developed and Emerging Countries by Mehmet Beyazgül, Erdinç Karadeniz

“…The aim of this research study is to analyze and compare the factors affecting the working capital investment levels of lodging companies in both developed and emerging countries. To this end, the Generalized Method of Moments (GMM), one of the dynamic panel data analysis methods, was employed in testing the models, contingent upon the data compatibility. …”
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Near-Infrared Spectroscopic Screening for Bladder Disease in Africa: Training Rural Clinic Staff to Collect Data of Diagnostic Quality by Lynn Stothers, Andrew Macnab, Sharif Mutabazi, Ronald Mukisa, Behnam Molavi, Babak Shadgan

“…A simplified NIRS system, small-group theory/orientation workshops, and >I.5 hours of 1 : 1 training during screening enabled clinic staff in Africa to collect accurate NIRS data.…”
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Development and validation of prediction models for death within 6 months after cardiac arrest by Jianping Lu, Jianping Lu, Yuqi Zeng, Yuqi Zeng, Nan Lin, Qinyong Ye, Qinyong Ye

“…Patients were divided into an “alive” group (95 cases) and a “dead” group (104 cases) according to their survival status 6 months after CA. …”
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THE ROLE OF THE UNITED STATES AGENCY FOR INTERNATIONAL DEVELOPMENT IN HUMANITARIAN ASSISTANCE IN BORNO STATE, NIGERIA by AMINU MUSA, BENJAMIN SUNDAY ATAWODI, RABIU MUHAMMAD ISHAQ, ABUBAKAR SHEHU TARASA

“… Nigeria is experiencing one of the longest-standing humanitarian crises, worsened by the rise of extremist groups like Boko Haram, armed banditry, changes in climate, poverty, and lack of development infrastructure. …”
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