Demographic characteristics and ocular needs of children attending child eye clinics in Cross River State, Nigeria: a retrospective analysis of clinical records by Nathan Congdon, Ciaran O'Neill, Lynne Lohfeld, Ving Fai Chan, Diarmuid O’Donovan, Ai Chee Yong, Christine Graham, Anne Effiom Ebri, Sara E O’Connor

“…Objectives To describe the demographic characteristics and ocular needs of children attending four child eye clinics in Cross River State, Nigeria, to inform the development of a sustainable spectacle cross-subsidisation scheme.Design Retrospective analysis of clinic records.Setting Four child eye clinics in Calabar, Ogoja, Ikom and Ugep, Cross River State, Nigeria, from 1 May 2017 to 30 June 2019.Participants Children who failed the vision screening in schools and visited assigned child eye clinics, and self-referred children from the community.Main outcome measures Children’s age, sex, residence, diagnosis, disease management, presenting and corrected visual acuity, history of spectacle wear and magnitude of refractive errors in spherical equivalent in the worse eye.Results Of all the 3799 records reviewed, data were available for 3774 children (mean age 10.6±4.35 years; 61.6% girls; 69.1% from urban settings); 30.8% (n=1162) of them had vision impairment. …”
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Human Health Risk Prediction Method of Regional Atmospheric Environmental Pollution Sources Based on PMF and PCA Analysis under Artificial Intelligence Cloud Model by Shihui Zhang, Xinghua Sun, Naidi Liu, Jing Mi

“…All relative errors are less than 14%, and the relative error is the smallest when the six simulated receptor component spectra are expanded, that is, the PCA analysis results of the expanded data are most consistent with the measured data; the number of expanded simulated receptor component spectra has a certain influence on the PMF analysis results. …”
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On the subject of the effectiveness of the ATC and pilot joint simulation training (retraining) program by A. I. Stepnova, V. I. Kochergin, S. M. Stepanov, V. A. Borsoev

“…The article provides an evaluation of the proposed new technique for the joint training (retraining) of ATC and pilots by conducting a statistical analysis of experimental data. The proposed training method will enable us to improve the quality of training, reduce a number of pilot and ATC errors, which are the underlying principles of the ICAO concept. …”
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DIAGONAL GROWTH CURVE FOR (ZIZIPHUS SPINA CHRISTI) GROWING IN GOVERNORATE ANBAR by Reyam. A. Y. Al-Zaydi, Afak. I. J. Al-Jibouri

“…Cross sections of the tree were taken. The data were collected by conducting the required field measurements, then the data were tabulated using the Excel program, and by using the method of linear and non-linear regression analysis in the Statgraphics2022 statistical program. …”
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EXPLORING COVID-19 PANDEMIC INITIAL 2020 CURVE BASED ON STATISTICAL EVALUATION by Ibrar ul Hassan Akhtar

“…This research was to explore CoVID-19 at initial stage of 2020 based on statistical techniques using probability density function (PDF), with different statistical measures, polynomial data fitting along with 30 day projections. The Covid-19 analysis was carried out only for highly affected countries along with six different regions and global level for 64 days covering period of January to March during 2020. …”
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Forecasting Ionospheric TEC Changes Associated with the December 2019 and June 2020 Solar Eclipses: A Comparative Analysis of OKSM, FFNN, and DeepAR Models by R. Mukesh, Sarat C. Dass, Negash Lemma Gurmu, M. Vijay, S. Kiruthiga, S. Mythili, D. Venkata Ratnam, V. B. S. Srilatha Indira Dutt

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Determination of the latent geometry of atorvastatin pharmacokinetics by transfer entropy to identify bottlenecks by Paola Lecca, Angela Re

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Regionalization of hydrological cycle changes in 31 source catchments of Yellow River Basin considering multiple hydrological variables by Can Cao, Yang Bai, Kun Peng, Bing Han, Yongyong Zhang

“…The hydrological change types are identified by classifying Sen’s slopes with statistical significance using cluster analysis. New hydrological insights for the region: The water balance errors of the optimal data source combinations were −9.75–9.78 %. …”
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Professional Features of IT Specialists’ Activities as Burnout Risk Factors by Alena F. Dzhumagulova, Natalia E. Vodopyanova, Olga O. Gofman, German S. Nikiforov

“…The interview and the questionnaire covered 19 and 82 IT experts, respectively. Based on the analysis of the obtained data, the authors were able to determine: (1) the job duties of representatives of the professions of ‘programmer’, ‘analyst’ and ‘tester’; (2) the most common causes of professional errors in the IT sphere, as well as their consequences as risk factors for burnout; (3) the minimum level of training, educational requirements and criteria for success in activities; (4) the most common cognitive and social work operations of IT professions; (5) requirements for the level of health and working conditions, as well as possible occupational diseases; and (6) data on the imbalance of work and rest, work and personal life. …”
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Analisa Risiko Penyebab Keterlambatan pada Proyek Konstruksi Pabrik Pupuk di Kabupaten Gresik Dengan Metode Pohon Kesalahan by AVISHA GITA PRAFITASIWI, Naufal Ramadhani Kuncoro, Cahyo Umar Wibisono

“…This research aims to present a comprehensive method for exploring the root cause that causes delays using risk analysis and Fault Tree Analysis (FTA). Questionnaires and interview were carried out in the data collection process. …”
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Spatiotemporal zoning of groundwater quality in Rechna Doab: analysis of Electrical Conductivity (EC), Sodium Adsorption Ratio (SAR), and Residual Sodium Carbonate (RSC) variabilit... by Muhammad Abbas, Muhammad Arshad, Muhammad Adnan Shahid

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Transient temperature characteristics of friction clutch disc considering thermal contact conductance under sliding conditions by Yuwei Liu, Yuanzhi Sun, Ziyin Gao, Fuhao Ye, Pei Tang

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Assessing the Impact of Land Degradation on Agricultural Output Using a Stochastic Frontier Production Function by Антон Сергеевич Строков

“…To analyse the relationship between land degradation and agricultural output, the stochastic frontier analysis (SFA) was employed. This method not only estimates the parameters of a classic production function but also accounts for errors in the model by evaluating parameters related to risk and technical inefficiency. …”
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AIR GAP CONTROL SYSTEM FOR HYDROGENERATORS by I. O. Zaitsev, A. S. Levytskyi, V. E. Sydorchuk

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Understanding the relationship: Financial inclusion's influence on bank stability in emerging economies by Shaoming Han, Cheng Qian, Nawal Abdalla Adam, Norboy Karimov, Wang Zhang

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Research on Basic Properties of Polymers for Fused Deposition Modelling Technology by Dariusz Pyka, Jakub J. Słowiński, Adam Kurzawa, Maciej Roszak, Mateusz Stachowicz, Mikołaj Kazimierczak, Maksymilian Stępczak, Dominika Grygier

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Comparison of the performances of six empirical mass transfer-based reference evapotranspiration estimation models in semi-arid conditions by Selçuk Usta

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A comparative evaluation of EEG Power spectrum characteristics between two methods for alleviating preoperative anxiety in breast cancer patients by Xing Jin, Yuxing Wang, Hui Jiang, Ying Wu, Yi Liu

“…Visual Analog Scale for Anxiety (VAS-A) and Observer’s assessment alert/Sedation (OAA/S) scores, clinical monitoring indexes and EEG data were measured before and after intervention.ResultsVAS-A scores significantly decreased in both groups (p < 0.05), the power in the theta band of the frontal parietal regions decreased (p < 0.05) and was positively correlated with VAS-A scores (p < 0.001). …”
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Relative Applicability of Diverse Automatic Speech Recognition Platforms for Transcription of Psychiatric Treatment Sessions by Rana Zeeshan, John Bogue, Mamoona Naveed Asghar

“…Metrics such as inference time, Word Error Rate (WER), and Diarization Error Rate (DER) were analyzed. …”
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Money laundering rate modelling by J. M. Beketnova, E. S. Anisimov

“…The purpose of the study is to compare the results of the forecast with the actual data. Authors used official data by the Ministry of Internal Affairs of the Russian Federation on economic crime rate for the period January 2011 – July 2022. …”
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