Data-driven decision-making for district health management: a cluster-randomised study in 24 districts of Ethiopia by Joanna Schellenberg, Tanya Marchant, Lars Åke Persson, Bilal Iqbal Avan, Mehret Dubale, Girum Taye

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Status of refractive development among children and adolescents aged 6~16 in Fuzhou by Jia-Jia LIN, Chun-Min LIU

“…Objective To investigate the status of refractive development among children and ado-lescents aged 6-16 in Fuzhou.Method From January 1 to December 31, 2021, we collected data on children and adolescents aged 6-16 years in Fuzhou, which included spherical equivalent (SE) after cycloplegia, axial length (AL), corneal radius (CR) and calculated the AL/CR ratio, and performed correlation analysis.Results A total of 2,888 patients were included, and the right eye was used for all analyses. …”
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Development and evaluation of the COntextualised and Personalised Physical activity and Exercise Recommendations (COPPER) Ontology by M. Braun, S. Carlier, A. De Paepe, F. De Backere, F. De Turck, G. Crombez

“…The final ontology consists of 288 classes, 9 data properties and 64 object properties. Development followed OBO ontology design principles. …”
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The Influence of Hen Age on Hatching Egg Quality and Embryonic Development of Sentul Chickens by Dinda Azizah, Maria Ulfah, Mokh Fahrudin

“…Eggs from 41-week-old and 78-week-old hens were compared across exterior and interior quality, nutrient composition, and embryonic development. Data analysis was performed using a descriptive method for hatching egg quality and a t-test for embryonic development. …”
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Urban land surface temperature forecasting: a data-driven approach using regression and neural network models by Nimish Gupta, Bharath Haridas Aithal

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Development and validation of the online formative assessment validity scale (OFAVS) in EFL contexts by Alireza Maleki, Hossein Khodabakhshzadeh, Mitra Zeraatpishe, Purya Baghaei

“…This study used two statistical analyses to analyze the data: Confirmatory Factor Analysis (CFA) and ANOVA. …”
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Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes by Brian Cox, Thomas Kislinger, Dennis A Wigle, Anitha Kannan, Kevin Brown, Tadashi Okubo, Brigid Hogan, Igor Jurisica, Brendan Frey, Janet Rossant, Andrew Emili

“…Mathematical modeling of the proteomic profiles with parallel DNA microarray data identified large groups of gene products with statistically significant correlation or divergence in coregulation of protein and transcript levels during lung development. …”
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Human potential of the cross‐border macroregions of the Russian Federation: conditions and development opportunities by O.V. Artemova, I.Yu. Nesterenko, S.A. Melenkina, O.K. Goncharova

“…The article provides an analysis of three groups of indicators: economic, demographic and social for selected cross‐border macro‐regions at the level of large geographical clusters of the European and Asian parts of Russia. …”
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Machine learning for predicting 5-year mortality risks: data from the ESSE-RF study in Primorsky Krai by V. A. Nevzorova, T. A. Brodskaya, K. I. Shakhgeldyan, B. I. Geltser, V. V. Kosterin, L. G. Priseko

“…The χ2, Fisher and MannWhitney tests, univariate logistic regression (LR) were used for data processing and analysis. To build predictive models, we used following machine learning (ML) methods: multivariate LR, Weibull regression, and stochastic gradient boosting.Results. …”
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DACIA5: a Sentinel-1 and Sentinel-2 dataset for agricultural crop identification applications by A. Băicoianu, I. C. Plajer, M. Debu, M. Ștefan, M. Ivanovici, C. Florea, A. Cațaron, R. M. Coliban, Ș. Popa, Ș. Oprișescu, A. Racovițeanu, Gh. Olteanu, K. Marandskiy, A. Ghinea, A. Kazak, L. Majercsik, A. Manea, L. Dogar

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SNP-array profiling data from breast cancer patients and healthy women's blood DNA samplesGEO by Rafika Indah Paramita, Sonar Soni Panigoro, Fadilah Fadilah, Septelia Inawati Wanandi, Noorwati Sutandyo

“…This paper presents the unprocessed idat data containing single nucleotide polymorphisms (SNPs) acquired from breast cancer patients and a control group comprising of healthy women. …”
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Combined Genomic and Transcriptomic Screening of Candidate Genes for Asymmetric Oviduct Development in Hens by Ruijie Li, Xiang Song, Xiao Lin, Mingli Deng, Yin Liu, Tuoyu Geng, Daoqing Gong, Minmeng Zhao, Long Liu

“…Whole-genome resequencing (WGRS) was performed on hens with bilateral reproductive systems (a rare natural occurrence) and unilateral controls. These data were co-analyzed with public RNA-seq data of female embryonic gonads at different developmental stages (E4.5, E5.5, and E6.5) to screen for candidate genes affecting oviduct degeneration/development. …”
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Integrated system for screening tumor-specific TCRs, epitopes, and HLA subtypes using single-cell sequencing data by Yi Li, Weiguo Zhang, Xuelian Song, Xianyao Wang, Yanshu Ding, Chenfei Yin, Tianyuan Ren

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Development of heirfers and dairy productivity of cows, doughters of different simmental breed bulls by V. Ya. DANKIV, М. А. PETRYSHYN, Ya. Ya. PAVLYSHAK

“…Studies have shown that the formation and manifestation of milk productivity signs of cows was significantly influenced by their parents and belonging to the line. Thus, the analysis of the obtained data shows that the daughters of the bull Imago 9727 are characterized by higher milk productivity. …”
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Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study by Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng

“…ObjectiveOur study aims to leverage the Baidu search index, representing search volumes from China’s most popular search engine, along with environmental data to develop a predictive model for mumps incidence in Yunnan province. …”
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Screening and validation of key microRNAs regulating muscle development in Hanper sheep. by Yunxia Zhi, Boxin Hu, Shujun Tian, Ying Bai, Xiaoyong Chen

“…For the analysis of muscle fiber area, one-way Analysis of Variance was conducted using Statistical Package for the Social Sciences 25.0, with Least Significant Difference tests applied afterward to compare the different groups. …”
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The “Lifelong Learning” concept as a factor of competitiveness and sustainable social and economic development by M. Ye. Tsoy, V. Yu. Shchekoldin, N. V. Yakovenko

“…The respondents were consumers of services provided in the centres of additional education of the largest Russian universities. The data for the study was collected by means of an online survey via Google Forms service.Six groups of educational services consumers were identified: 1st – “LLL” consumers who identify their learning experience as ineffective (corresponding to the response “get nothing out of learning”); 2nd – men and women not more than 35 years old, targeting mainly not in the family, but in building a career, quite often participating in various educational activities; 3rd – women who choose the format of training in the form of retraining programs; 4th – women working as freelancers or self‐employed, some of them on maternity leave; 5th – women up to about 35 years old, working as line workers, without children and without higher education; 6th – men under the age of 40, with a good financial situation, who independently choose a certain training programme in order to obtain specific knowledge.The concept of “Lifelong Learning” involves the continuous development and improvement of skills, competences and knowledge throughout life, which helps to enhance competitiveness and sustainability of social and economic development.…”
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Parallel-group, randomised, controlled, non-inferiority trial of high-flow nasal cannula versus non-invasive ventilation for emergency patients with acute cardiogenic pulmonary oed... by Apichaya Monsomboon, Onlak Ruangsomboon, Nattakarn Praphruetkit

“…Therefore, we planned this study to investigate the effects of HFNC compared with NIPPV for emergency patients with ACPE.Methods and analysis In this single-centred, non-blinded, parallel-group, randomised, controlled, non-inferiority trial, we will randomly allocate 240 patients visiting the emergency department with ACPE in a 1:1 ratio to receive either HFNC or NIPPV for at least 4 hours using computer-generated mixed-block randomisation concealed by sealed opaque envelopes. …”
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Nutritional status and practices among Chinese marathon runners: data from the China marathon nutrition survey (CMNS) by Yan Chen, Xueyuan Zhao, Xiangxin Li, Wei Wen, Jingyi Zhang, Zhihui Lu, Yiheng Liang, Chengnan Zhang, Junqiang Qiu

“…Descriptive statistics, chi-square tests, and logistic regression were employed to identify factors associated with nutritional practices.Results A total of 5668 valid questionnaires were included in the analysis, comprising 77.6% male (39.8 ± 10.9 yrs) and 22.4% female (41.0 ± 9.7 yrs) runners, representing a wide distribution across age groups and performance levels. …”
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EEG signatures of cognitive and social development of preschool children-a systematic review. by Supriya Bhavnani, Georgia Lockwood Estrin, Rianne Haartsen, Sarah K G Jensen, Teodora Gliga, Vikram Patel, Mark H Johnson

“…<h4>Methods and findings</h4>A systematic literature search identified 51 studies for inclusion in this review. Data relevant to the primary and secondary aims was extracted from these studies and an assessment for risk of bias was done, which highlighted the need for harmonisation of EEG data collection and analysis methods across research groups and more detailed reporting of participant characteristics. …”
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