Prevalence and determinants of pulmonary hypertension in rheumatic heart disease patients at university of Gondar comprehensive specialized hospital: a retrospective study from 201... by Fikadu Alemiye Molla, Desalew Getahun Ayalew, Hailemaryam Alemu Astatk, Abebe worku Teshager, Gebrehiwot Lema Legesse, Daniel Belay Agonafir, Shibabaw Fentahun, Belete Sisay Assefa, Tilahun Nega Godada, Deresse Abebe Gebrehana, Abilo Tadesse

“…Abstract Introduction Most Rheumatic heart disease patients present with advanced disease and complications, pulmonary hypertension being one of the main complications. …”
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Leveraging near-real-time patient and population data to incorporate fluctuating risk of severe COVID-19: development and prospective validation of a personalised risk prediction t... by Kaitlin Swinnerton, Nathanael R. Fillmore, Austin Vo, Jennifer La, Danne Elbers, Mary Brophy, Nhan V. Do, Paul A. Monach, Westyn Branch-Elliman

“…The most important variables for predicting severe disease included age, chronic kidney disease, chronic obstructive pulmonary disease, Alzheimer's disease, heart failure, and anaemia. …”
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An Analysis of Influential Factors in the Use of Public Bicycles in Tehran by Ehsan Faghihi, Mojtaba Rafieian

“…Therefore, one of the most important challenges in this field is the factors affecting the level of user satisfaction, and better identification and understanding of these factors can help improve the user experience and increase the use of this system. …”
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Modelling the Trend of Zagros Forest Degradation using Logistic Regression (Case study: Chardavol Forest of Ilam province) by Ali Mahdavi, Somayeh Rangin, Hossein Mehdizadeh, Vahid Mirzaei Zadeh

“…In addition, the results of modelling showed that aspect variable with the highest coefficient (0.7267) is probably the most biophysical factor affecting on deforestation in the study area. …”
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Mapping Soil Transmitted Helminths and Schistosomiasis under Uncertainty: A Systematic Review and Critical Appraisal of Evidence. by Andrea L Araujo Navas, Nicholas A S Hamm, Ricardo J Soares Magalhães, Alfred Stein

“…Uncertainty was mostly defined as precision, and quantified using credible intervals by means of Bayesian approaches.…”
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Presentación de un paciente con diagnóstico de fibroma del ligamento redondo hepático by Héctor R. Aguilera Anzardo, Jorge D. Andrés Corona, Margarita Rodríguez Diéguez, Zulma Miranda Moles, Menelio Pullés Labadié

“…These tumours have a variable clinical presentation, and its diagnosis is mostly make by ultrasound and laparoscopy to corroborate it, as in the case of the patient presented in this study. …”
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Weak Fault Detection for Rolling Bearings in Varying Working Conditions through the Second-Order Stochastic Resonance Method with Barrier Height Optimization by Huaitao Shi, Yangyang Li, Peng Zhou, Shenghao Tong, Liang Guo, Baicheng Li

“…The potential well functions are mostly set fixed to reduce computational complexity, and the SR methods with fixed potential well parameters have better performances in stable working conditions. …”
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Predicting Crown-width of Dominant Trees on Teak Plantation from Clonal Seed Orchards in Ngawi Forest Management Unit, East Java by Ronggo Sadono

“…The arithmetic mean of the crown width of the 30 dominant trees in each measured compartment was used as the response variable and stand age as the predictor variable. The measurement data were then sorted into two parts, namely: mostly for model fitting and the remaining for model validation. …”
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Antimicrobial resistance of Streptococcus spp. in different hospital units by Kaytukov A.O., Glushkova E.V., Briko N.I., Kryzhanovskiy V.G., Salmina T.A., Orlova O.E., Kashirina A.Yu.

“…In recent years, an increase in antimicrobial resistance has been identified in the most common streptococci. The antibiotic susceptibility of streptococci of the same species was found to be variable in different hospital wards. …”
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A Combined‐Mode Machine Learning Model for Predicting Stroke Recurrence During Hospitalization in Patients with Acute Minor Ischemic Stroke by Wanxing Ye, Jin Gan, Meng Wang, Ziyang Liu, Hongqiu Gu, Xin Yang, Chunjuan Wang, Xia Meng, Yong Jiang, Hao Li, Liping Liu, Yongjun Wang, Zixiao Li

“…Optimization was performed for all models based on the most important variable, history of ischemic stroke. …”
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Association of neighborhood-level disadvantage beyond individual sociodemographic factors in patients with or at risk of knee osteoarthritis by Jessica Peoples, Jared J. Tanner, Emily J. Bartley, Lisa H. Domenico, Cesar E. Gonzalez, Josue S. Cardoso, Catalina Lopez-Quintero, Elizabeth A. Reynolds Losin, Roland Staud, Burel R. Goodin, Roger B. Fillingim, Ellen L. Terry

“…Results Living in the most deprived neighborhood was associated with poorer clinical knee pain-related outcomes compared to living in less deprived neighborhoods (ps < 0.05). …”
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Machine Learning for Early Detection of Cognitive Decline in Parkinson’s Disease Using Multimodal Biomarker and Clinical Data by Raziyeh Mohammadi, Samuel Y. E. Ng, Jayne Y. Tan, Adeline S. L. Ng, Xiao Deng, Xinyi Choi, Dede L. Heng, Shermyn Neo, Zheyu Xu, Kay-Yaw Tay, Wing-Lok Au, Eng-King Tan, Louis C. S. Tan, Ewout W. Steyerberg, William Greene, Seyed Ehsan Saffari

“…<b>Background</b>: Parkinson’s disease (PD) is the second most common neurodegenerative disease, primarily affecting the middle-aged to elderly population. …”
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Previous cancers in women diagnosed with premature ovarian insufficiency: A nationwide population‐based case–control study by Heidi Silvén, Susanna M. Savukoski, Paula Pesonen, Riitta Niinimäki, Eero Pukkala, Mika Gissler, Eila Suvanto, Maarit Niinimäki

“…The risk of developing POI is most substantial in the first 2 years following a cancer diagnosis. …”
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The Pharmacognostic Research of L. luteus L. by O. V. Grechana

“…The second branch of the ancient cultures was inSouth America, where another kind of lupine was cultivated – a variable one. InCentral Europe, lupine began to grow in the second half of the XIX century culture as a green manure, and then - as the most valuable forage plant. …”
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An explainable AI framework for spatiotemporal risk factor analysis in public health: a case study of cardiovascular mortality in South Korea by Eunjin Kang, Dongjin Cho, Siwoo Lee, Jungho Im, Dongwook Lee, Cheolhee Yoo

“…In two complementary schemes, the most explainable factor to districts with high CVD-ASMR was low education level related to sociodemographic vulnerability, whereas the most explainable factors to high temporal CVD-ASMR patterns were low greenness and high air pollution levels. …”
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A cluster randomized trial of a Multicomponent Clinical Care Pathway (MCCP) to improve MASLD diagnosis and management in primary care: study protocol by Kyler M. Godwin, Larissa Grigoryan, Aaron P. Thrift, Hao Duong, Fasiha Kanwal, Traber Giardina, Himabindu Kadiyala, Andrew Zimolzak, Kavish R. Patidar, Hashem B. El-Serag

“…Most patients with MASLD are undiagnosed, untreated and unreferred. …”
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Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission by Rafael Ruiz de San Martín, Catalina Morales-Hernández, Carmen Barberá, Carlos Martínez-Cortés, Antonio Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez-Sánchez, Isabel Morales-Moreno, Juan José Hernández-Morante

“…Nowadays, most of the health expenditure is due to chronic patients who are readmitted several times for their pathologies. …”
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Different environmental factors predict the occurrence of tick-borne encephalitis virus (TBEV) and reveal new potential risk areas across Europe via geospatial models by Patrick H. Kelly, Rob Kwark, Harrison M. Marick, Julie Davis, James H. Stark, Harish Madhava, Gerhard Dobler, Jennifer C. Moïsi

“…The strongest predictors of habitat suitability and TBEV occurrence in each region were associated with different variable categories: climate variables were the strongest predictors of habitat suitability in Central Europe; rodent reservoirs and elevation were strongest in the Nordics; and animal hosts and land cover contributed most to the Baltics. …”
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A Typology of Sistan\'s Vernacular Housing in Terms of Open and Closed Space Formation by Zohreh Oveisi Keikha, Hosseinali Kavosh, Abolfazl Heidari, Jamshid Davtalab

“…Housing types depend on the relationship between human needs and the environment. They are variable and complex due to humans’ different lifestyles and environmental conditions. …”
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PERKEMBANGAN PENELITIAN PENDEKATAN STEAM PADA PEMBELAJARAN FISIKA DI INDONESIA: A SYSTEMATIC LITERATURE REVIEW by Trisonia Fitria, Heru Kuswanto, Wipsar Sunu Brams Dwandaru, Jumadi Jumadi, Dian Puspita Eka Putri, Adiella Zakky Juneid

“…Learning media integrated with the PjBL-STEAM model is the most widely used choice. Therefore, research variables that have not been measured are representation skills and higher-order thinking skills aspects of problem solving and physical materials that have never been used for testing are rigid body equilibrium, work and energy, temperature and heat, newton's laws, electromagnetic, electrical and parabolic motion, so further study is needed on its implementation with the STEAM approach. …”
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