Development of Portable Gear Laser Measuring Devices by Qiu Zhou, Song Aiping, Pan Jianzhou, Huang Jiaming

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Herschel vision: A hyperspectral image processing software for data preparation in machine learning pipelines by Billy G. Ram, Sunil GC, Xin Sun

“…In recent years, publications have relied on either commercial software or custom-developed codes for the analysis of hyperspectral images. …”
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BenchMake: turn any scientific data set into a reproducible benchmark by A S Barnard

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Evaluating heat health risk in Indian cities: Geospatial and socio-ecological analysis by Kaushik Mandvikar, Nirmal Kumar, Hitesh Supe, Deepak Singh, Ankita Gupta, Pankaj Kumar, Gowhar Meraj, Inam Danish Khan, Asma Kouser, Santosh Kumar Pandey, Ram Avtar

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Development of specific competencies in gymnastics in specialized higher education by Valeriu Jurat, Carolina Moga, Maria-Florica Grigore, Ion Carp, Marius-Viorel Ulăreanu, Roxana-Ștefania Drăgan, Daniela-Corina Popescu, Miroslawa Cieslicka

“…The purpose of the study was the comparative analysis of the academic programs for development of specific competencies in the specialized higher education. …”
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Cluster Optimization for Exponential, Right-Triangular, and Uniformly Distributed Data by Gabiriele Bulivou, Karuna G. Reddy, M. G. M. Khan

“…Cluster analysis aims to categorize data objects into cohesive groups based on their intrinsic characteristics, often modeled by probability distributions. …”
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Csv2xyd: A Python Software for Processing Large Biodiversity Datasets for Endemism Analysis by Jonathan Liria, Ana Soto-Vivas

“…A key component of biogeographical research is identifying areas of endemism, which involves examining multiple datasets. Due to this, we developed csv2xyd a Python software with a graphical user interface to process data from CSV to XYD format for endemism analysis. …”
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Methodologies for the formation of structures of information systems for storing and analyzing patient data by Z. A. Shogenova, D. А. Krymshokalova, F. R. Ketova, F. H. Dzamikhova

“…In this regard, the development of methodologies for the formation of information system structures that allow reliable storage and analysis of patient data has become an urgent research task. …”
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Introduction of emerging mobility services in rural areas through the use of mobile network data combined with activity‐based travel demand modelling by Patrizia Franco, Djibril Kaba, Steve Close, Shyma Jundi

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Sensitivity Assessment of Geological Hazards in Liaoning Province Based on Multisource Data by Ying Cui, Chao Guan, Chen Chen, Jingxu Zheng, Songbo Li

“…Based on multisource remote sensing data, this study evaluates the geological hazard sensitivity in Liaoning Province by using the method of spatial principal component analysis and spatial autocorrelation finding that such sensitivity is generally moderate, with an average value of 5.25, and is mainly concentrated in three levels: Mild sensitivity, moderate sensitivity and insensitivity, accounting for more than 67% of the total area. …”
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Sensor-Based Monitoring Data from an Industrial System of Centrifugal Pumps by Angelo Martone, Alessia D’Ambrosio, Michele Ferrucci, Assuntina Cembalo, Gianpaolo Romano, Gaetano Zazzaro

“…High-quality operational data under normal operating conditions are fundamental for developing effective maintenance strategies and diagnostic models. …”
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Ten years emotional intelligence scale (TYEIS): Its development, validity and reliability by Kerem Coşkun, Yücel Öksüz, H. Bayram Yılmaz

“…Data were collected from 492 children for the exploratory factor analysis (EFA). …”
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Ten Years Emotional Intelligence Scale (TYEIS): Its Development, Validity And Reliability by Kerem Coskun, Yücel Öksüz, H. Bayram Yılmaz

“…Data were collected from 492 children for the exploratory factor analysis (EFA). …”
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Screen on = development off? A systematic scoping review and a developmental psychology perspective on the effects of screen time on early childhood development by Fabio Sticca, Fabio Sticca, Valérie Brauchli, Patricia Lannen

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A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation by Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas

“…A major contribution of this work is the development of an adaptive aggregation methodology, which dynamically selects between Federated Averaging (FedAvg) and Federated Stochastic Gradient Descent (FedSGD) based on real-time data divergence observed across participating clients. …”
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Reforms in the Field of Statistics of the Republic of Uzbekistan: Results and Development Prospects by B. A. Begalov, O. T. Mamadaliev

“…In particular, the authors noted that at present in the statistical industry of the Republic of Uzbekistan a whole range of measures has already been carried out, which made it possible to achieve certain results in the republican and international ratings.The article shows that a solid regulatory and legal framework has been created for the effective development of the statistical sphere of the Republic of Uzbekistan.The authors’ studies show that reforms in the field of statistics of the Republic of Uzbekistan are carried out in such areas as improving the organizational and legal infrastructure, developing the statistical infrastructure, establishing optimal interaction between providers and users of statistical data, effectively developing the information and communication infrastructure, improving sectoral and regional statistics, improving the quality of training and comprehensive development of personnel, improving the country’s indicators in the Index of the statistical capacity of the World Bank countries.The article tells that thanks to the openness and transparency of statistical data, users have free access to relevant statistical information, and these results are highly appreciated not only by domestic, but also by foreign users and, most importantly, by the international statistical community.The authors note that recently a lot of work has been done to bring a number of indicators of macroeconomic and social statistics, methods of statistical assessment of the shadow economy, statistics of tourism, employment, environmental accounting, transport, public finance and other sectors in line with the requirements of international standards, a thorough preparation for censuses (population, agriculture, business), etc.Purpose. …”
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Analysis of inequality via social stratification by Luz Judith Rodríguez Esparza, Octavio Martín Maza Díaz Cortés, Julio César Macías Ponce, Dolly Anabel Ortiz Lazcano

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Interrelationships between income and both religious and secular ethics: panel Data Envelopment and Stochastic Frontier Analyses combined by Fabio Zagonari

“…To do so, it constructs a dataset of 152 countries over 26 years, by referring to 8 religions and 3 education levels and by distinguishing Developed and Former Soviet Countries. Next, it combines Data Envelopment Analysis and Stochastic Frontier Analysis, by estimating 3 empirical models. …”
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BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data by Md. Naimul Islam Nuhash, Sadia Akter

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Automated diabetes detection prediction system based on patients’ medical data by S.V. Pidopryhora, Yu.V. Bogoyavlenska

“…Given the continuous growth of medical data volumes, there is a clear need for modern information technologies capable of automating disease analysis and prediction processes. …”
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