Determining and comparing the achieved competencies of graduating nursing students of public and private universities in Iran by Majid Purabdollah, Vahid Zamanzadeh, Akram Ghahramanian, Leila Valizadeh, Mostafa Ghasempour, Saeid Mousavi

“…Abstract Aim This study aims to determine and compare the achieved competencies of graduating nursing students of public and private universities in Iran. …”
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Yarning with a remote Aboriginal community about the next steps for achieving healthy skin by Rebecca Dalton, Erin Victor, Hannah M.M. Thomas, Stephanie L. Enkel, Bep Uink, Rebecca Bennett, Slade Sibosado, Asha C. Bowen

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Phasing millions of samples achieves near perfect accuracy, enabling parent-of-origin analyses by Cole M. Williams, Jared O’Connell, Ethan Jewett, William A. Freyman, Christopher R. Gignoux, Sohini Ramachandran, Amy L. Williams

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Joint trade-off optimization algorithm based on cooperative spectrum sensing throughput by Guo-qing JI, Gang WANG, Hong-bo ZHU

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Data augmentation scheme for federated learning with non-IID data by Lingtao TANG, Di WANG, Shengyun LIU

“…To solve the problem that the model accuracy remains low when the data are not independent and identically distributed (non-IID) across different clients in federated learning, a privacy-preserving data augmentation scheme was proposed.Firstly, a data augmentation framework for federated learning scenarios was designed.All clients generated synthetic samples locally and shared them with each other, which eased the problem of client drift caused by the difference of clients’ data distributions.Secondly, based on generative adversarial network and differential privacy, a private sample generation algorithm was proposed.It helped clients to generate informative samples while preserving the privacy of clients’ local data.Finally, a differentially private label selection algorithm was proposed to ensure the labels of synthetic samples will not leak information.Simulation results demonstrate that under multiple non-IID data partition strategies, the proposed scheme can consistently improve the model accuracy and make the model converge faster.Compared with the benchmark approaches, the proposed scheme can achieve at least 25% accuracy improvement when each client has only one class of samples.…”
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Study of contrast between satellite image data and ground data by Baghdad Science Journal

“…Spot panchromatic satellite image had been employed to study and know the difference Between ground and satellite data( DN ,its values varies from 0-255) where it is necessary to convert these DN values to absolute radiance values through special equations ,later it converted to spectral reflectance values .In this study a monitoring of the environmental effect resulted from throwing the sewage drainages pollutants (industrial and home) into the Tigris river water in Mosul, was achieved, which have an effect mostly on physical characters specially color and turbidity which lead to the variation in Spectral Reflectance of the river water ,and it could be detected by using many remote sensing techniques. …”
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Evaluating the Effect of Surrogate Data Generation on Healthcare Data Assessment by Saeid Sanei, Tracey K. M. Lee, Issam Boukhennoufa, Delaram Jarchi, Xiaojun Zhai, Klaus McDonald-Maier

“…In healthcare applications, often it is not possible to record sufficient data as required for deep learning or data-driven classification and feature detection systems due to the patient condition, various clinical or experimental limitations, or time constraints. …”
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Studying the status of research grants of Smart University of Medical Sciences with an emphasis on achievements, challenges and solutions by Babak Sabet, Vahideh Montazeri, Hamed Khani, Amin Habibi, Hassan Bakhtiary

“…Methods: This study was based on an integrated analysis of quantitative and qualitative data. Quantitative data were collected by reviewing published documents of calls for proposals from 1398 to 1402 and online satisfaction questionnaires, and qualitative data were analyzed thematically. …”
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Factors affecting private sector engagement in achieving universal health coverage: a scoping review by Naser Derakhshani, Ramin Rezapour, Saber Azami-Aghdash, Hamideh Nafar, Samira Soleimanpour, Emir Tahmazi Aghdam, Mohammadreza Maleki

“…Background Universal Health Coverage (UHC) is one of the most important strategies adopted by countries in achieving goals of sustainable development. To achieve UHC, the governments need the engagement of the private sector. …”
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Position and Chance of Indonesia Family Planing to Achieve RPJMN 2015-2019 and FP2020 Targets by Anggriyani Wahyu Pinandari, Siswanto Agus Wilopo

“…Using 2012 data as the baseline, RPJMN and FP2020 targets will be achieved if CPR grows 0.5 point/year. …”
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APPLICATION OF THINK TALK WRITE MODEL TO IMPROVE JUNIOR HIGH SCHOOL STUDENTS’ MATHEMATICAL ACHIEVEMENT by Novita Jenianis Soselisa, Magy Gaspersz, Darma Andreas Ngilawajan

“…The type of this research is Classroom Action Research which taken 2 cycles in order to reach students’ achievement by most students in the class. Data of this research is obtained by using test instrument and observation sheets. …”
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The highest achievements of Ukrainian powerlifting at international events during its origin and formation (1981-2012) by A.I. Stetsenko

“…The data Ukrainian competitions for the period from 1989 to 2012. …”
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The Importance of Academic Writing Knowledge To Second- Year Students to Foster Them Achieve University Success by Nassima Mechitoua

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Evaluasi Pembinaan Prestasi Pada Cabang Olahraga Paralayang Di Jawa Tengah Tahun 2024 by Muhammad Nurul Akbar Adityatama, Muhammad Bagus Binathara

“…Data analysis was carried out using both quantitative and qualitative descriptive approaches. …”
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Variations in achievement of evidence-based, high-impact quality indicators in general practice: An observational study. by Thomas A Willis, Robert West, Bruno Rushforth, Tim Stokes, Liz Glidewell, Paul Carder, Simon Faulkner, Robbie Foy, ASPIRE programme team

“…There is a growing interest in using routinely collected 'big data' in the evaluation of healthcare. We developed a set of evidence-based 'high impact' quality indicators (QIs) for primary care and examined variations in achievement of these indicators using routinely collected data in the United Kingdom (UK).…”
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A neural network regression model for predicting student learning success based on prior achievements by Dorrer Mikhail

“…The paper describes a project utilizing data analysis tools to predict student performance based on their prior achievements. …”
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Commitment, partnerships and operational research: three priorities for 11 EMR countries to achieve TB elimination by M. van den Boom, K. Bennani, G. B. Migliori, L. D’Ambrosio, R. Centis, A. Parvez Sayed, H. Y. Atta, Y. Hutin

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Exploring barriers to learning hindering Learners with albinism’ academic achievement at schools in the Masvingo district in Zimbabwe by Margaret Machingambi

“…Semi-structured interviews were conducted during data collection. Thematic analysis was used to analyse data. …”
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Investigating the Relationship between Perceived Parental Academic Achievement Pressure, Academic Resilience, and Test Anxiety by Adnan Şanli, Seda Demir Ayçiçek

“…The sample of the study consisted of 315 10th grade students, 171 of whom were female and 144 of whom were male. The data were collected through personal information form, perceived parental academic achievement pressure scale, academic resilience scale, and multidimensional test anxiety scale. …”
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Traditional bullying and cyberbullying as main drivers of low mathematics achievement in South African schools: Evidence from TIMSS 2019 by Marien Alet Graham

“…We followed a quantitative design with a research paradigm of positivism and a secondary data analysis study design. We analysed TIMSS 2019 data and proposed a model containing 21 constructs; 20 independent variables (gender, socio-economic status (SES) and 18 variables about bullying) and one dependent variable (MA). …”
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