Association of hypertensive disorders of pregnancy and gestational diabetes mellitus with developing severe retinopathy of prematurity by Narges Khoshtinat, Maryam Moayeri, Hanieh Fakhredin, Afsar Dastjani Farahani, Fariba Ghassemi, Alireza Mahmoudi, Fatemeh Bazvand, Amin Nabavi

“…Conclusion GDM is a higher risk factor for ROP and developing severe ROP than HDP. However, the data indicate that careful monitoring and management of both GDM and HDP during pregnancy may be crucial in mitigating the risk of severe ROP.…”
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A Scale Development Study to Determine Secondary School Students’ Perceptions of Extracurricular Activities by İmgehan Özkan Elgün, Funda Uysal

“…Confirmatory factor analysis with data collected from a different sample group (n=196) showed that the single-factor structure was confirmed and the reliability coefficients were 0.85. …”
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scICE: enhancing clustering reliability and efficiency of scRNA-seq data with multi-cluster label consistency evaluation by Hyun Kim, Issac Park, Jong-Eun Park, Jong Kyoung Kim, Minseok Seo, Jae Kyoung Kim

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The Role of a School Theater in the Development of Communication of Adolescents: Results of a Longitudinal Study by T.A. Poskakalova, M.R. Husnutdinova

“…This project included training in scriptwriting and acting, the production of various digital and creative products, as well as group discussions and reflection sessions. The article provides an analysis of data collected during three testing episodes. …”
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Frailty in Survival Analysis of Widowhood Mortality by Elinor Ytterstad

“…The model seemed to fit the data well, for both widowers and widows in all age groups. …”
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Predicting the Development of Thrombosis of the Femoral-Popliteal Bypass in the Long-Term Follow-Up Period by A. B. Zakeryaev, R. A. Vinogradov, P. V. Sukhoruchkin, S. R. Butayev, T. E. Bakhishev, A. I. Derbilov, E. R. Urakov, A. G. Baryshev, V. A. Porkhanov

“…Using “random forest” analysis, a model and computer program was created that allows, the risk (low, medium, high) of developing bypass thrombosis to be assessed interactively, based on clinical, anamnestic, demographic and perioperative data, with subsequent amputation after FPB in the long-term follow-up period.Conclusions. …”
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Unlocking the genetic secrets of Dorper sheep: insights into wool shedding and hair follicle development by Xiaochun Yuan, Ke Meng, Yayan Wang, Yifan Wang, Cuili Pan, Haoran Sun, Jankui Wang, Xinhai Li

“…Combined analysis of DETs, time-series expression data, and weighted gene co-expression network analysis identified core genes and their transcripts influencing HF development, such as DBI, FZD3, KRT17, ZDHHC21, TMEM79, and HOXC13. …”
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New approaches to quantifying early disorders and perfusion inhomogeneity of the myocardium according to the data of single-photon emission computed tomography by A. A. Ansheles, L. A. Martirosyan, I. V. Sergienko, V. B. Sergienko

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Risk factors for the femoral head aseptic necrosis development in patients with systemic lupus erythematosus by I. G. Kushnareva, T. V. Popkova, M. A. Makarov, A. E. Khramov

“…Objective: to identify risk factors for the development of the femoral head aseptic necrosis (FHAN) and osteoarthritis (OA) of the hip joint (HJ) in patients with systemic lupus erythematosus (SLE) according to a retrospective analysis.Material and methods.The retrospective study included data from the case histories of 103 patients with SLE who underwent total hip arthroplasty (HA) (unilateral in 82 patients, bilateral in 21). …”
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Discriminant analysis of variational pulsometry parameters by U. I. Silkina, V. A. Balandin

“…One of these methods is discriminant analysis. It allows studying the differences between groups of objects in several variables. …”
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Development and validation of predictive models for meige syndrome patients based on oxidative stress markers by Yingjie Zhu, Runing Fu, Ziang Wang, Xinjie Zhu, Pengbo Feng, Xinyu Feng, Wenping Lian

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Unlocking the transformative potential of data science in improving maternal, newborn and child health in Africa: a scoping review protocol by Eric Ohuma, Agbessi Amouzou, Abiy Seifu Estifanos, Phillip Wanduru, Samson Yohannes Amare, Joseph Akuze, Bancy Ngatia, Grieven P Otieno, Rornald M Kananura, Kirakoya-Samadoulougou Fati

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Zombie firms and resource allocation: research trends and developments during the spread of COVID-19 by Kotone Yamada, Yukio Minoura, Jouchi Nakajima, Tomoyuki Yagi

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Validity and reliability of a futsal performance test based on multiple intelligences by Anggel Hardi Yanto, Ilham, Muhammad Ali, Palmizal

“…The research used the ADDIE model, which includes Analysis, Design, Development, Implementation, and Evaluation phases. …”
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Mitigating Malicious Insider Threats to Common Data Environments in the Architecture, Engineering, and Construction Industry: An Incomplete Information Game Approach by KC Lalropuia, Sanjeev Goyal, Borja García de Soto, Dongchi Yao, Muammer Semih Sonkor

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Nomograms for Predicting Coexisting Cardiovascular Disease and Prognosis in Chronic Obstructive Pulmonary Disease: A Study Based on NHANES Data by Yuanjie Qiu, Yan Wang, Nirui Shen, Qingting Wang, Limin Chai, Jian Wang, Qianqian Zhang, Yuqian Chen, Jin Liu, Danyang Li, Huan Chen, Manxiang Li

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Mutations in the genes of lysosomal storage diseases as a risk factor for the development of Parkinson’s disease by A. K. Emelianov, M. V. Beletskaya, K. A. Senkevich, A. O. Lavrinova, A. A. Tyurin, I. V. Miliukhina, A. A. Timofeeva, A. V. Amelin, S. N. Pchelina

“…The contribution of rare variants in other LSD genes is discussed.The objective of this study was to assess the association of rare gene variants of lysosomal storage diseases and Parkinson’s disease in the North-Western region of Russia.Methods and materials. An analysis of data obtained as a result of massive parallel sequencing of 44 genes associated with lysosomal storage diseases was carried out in 496 patients with PD and 401 individuals in the control group.Results.The study revealed a statistically significant difference in the frequency of occurrence of pathogenic and likely pathogenic variants of the LSD genes among patients with PD compared to the control group (p<0.05). …”
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Developing a machine learning model for predicting varicocelectomy outcomes: a pilot study by Coşkun Kaya, Mehmet Erhan Aydın, Özer Çelik, Aykut Aykaç, Mustafa Sungur

“…Demographic, anthropometric variables, physical examination findings, hematological, radiological, and semen analysis parameters were evaluated. The patients were separated into two groups according to the improvement in total motile sperm count postoperatively as improvement (Group 1) and no improvement (Group 2). …”
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Experience of image-analysis of rye grain by P. Ä. Zykin, E. I. Utkina, A. V. Voylokov

“…It was studied 23 samples of rye with the color of the grain visually described as yellow, green, brown and violet. Software GrainScan developed for wheat was adapted for computer analysis of digital images of rye kernels obtained with flatbed scanner. …”
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The Development of Assessment Rubric of Arabic Language Writing Based on National Qualifications Framework of Indonesia by Endry Boeriswati, Ilza Mayuni, Ari Khairurrijal Fahmi, Kamal Surong

“…Data in the form of needs analysis results, expert analysis, and rubric reliability test results. …”
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