External phantom-based validation of a deep-learning network trained for upscaling of digital low count PET data by Anja Braune, René Hosch, David Kersting, Juliane Müller, Frank Hofheinz, Ken Herrmann, Felix Nensa, Jörg Kotzerke, Robert Seifert

“…In comparison to standardized image post-processing using a Gaussian filter, the deep-learning network is better suited to improve image quality, but at the same time degrades SUV accuracy to a greater extent than post-filtering and quantitative SUV accuracy varies for different lesion sizes. …”
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Identifying and Prioritizing Factors Affecting People's Participation in the Urban Management Process (Case Study: Sangi and Shekari Neighborhoods of Bushehr City) by Seyyed Noorodin Amiri, Ehsan Heidarzadeh, Mojtaba Arasteh, Mohammad Javad Heidari

“…After the field survey and completing the questionnaires, the data were entered into SPSS software and analyzed with exploratory factor analysis and multivariate linear regression models. …”
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A theory-based analysis of the implementation of online asynchronous telemedicine platforms into primary care practices using Normalisation Process Theory by Cara Leighton, Natalie Joseph-Williams, Annavittoria Porter, Adrian Edwards, Alison Cooper

“…Data extraction was guided by the domains of Normalisation Process Theory: context, mechanisms, outcomes. …”
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RelayGAN: Sequential knowledge propagation for sustainable multi-generation by Namkyung Yoon, Hwangnam Kim

“…To evaluate the effectiveness of RelayGAN, we conducted extensive experiments using quantitative methods. We employ three statistical metrics, including the Pearson correlation coefficient, the Mann–Whitney U test, and the Kolmogorov–Smirnov test, to validate the quality of the generated data. …”
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SHOULD LIKERT DATA BE TRANSFORMED USING SUMMATED RATING SCALE? A CONFIRMATORY FACTOR ANALYSIS STUDY ON THE CONTINUOUS LEARNING by Islamiani Safitri

“…This study aims to compare the results of instrument analysis through Confirmatory Factor Analysis (CFA) based on direct data and conversion data. The method used is descriptive quantitative, involving 281 undergraduate students in Indonesia. …”
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Understanding ChatGPT adoption for data analytics learning: A UTAUT perspective among social science students in Oman by Suliman Zakaria Suliman Abdalla

“…However, the tool received lower ratings for tasks such as data pre-processing and cleaning, suggesting some limitations in its effectiveness in these aspects of data analytics learning. …”
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Production Thematic Maps of Bearing Capacity of Shallow Foundation for Al-Basrah Soil Using Standard Penetration Data and GIS by Majeed Sabaa, Alaa Salman, Ammar Dakhil, Saba Jawad, Mahdi Karkush, Ahmed Athab

“…In addition, a statistical analysis can be generated within GIS on specific data to produce quantitative results. In this study, the GIS utilized to produce thematic maps showing the variation of bearing capacity of shallow foundation in Al-Basrah province soil. …”
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Fraud detection skills of Thai Gen Z accountants: The roles of digital competency, data science literacy and diagnostic skills by Narinthon Imjai, Watcharawat Promma, Nimnual Visedsun, Berto Usman, Somnuk Aujirapongpan

“…Despite this growing interest, research specifically addressing the Thai context has remained scarce. Thus, this quantitative study aimed to bridge this gap by assessing the proficiency of Thai Gen Z accountants in detecting accounting fraud, with a particular emphasis on their digital, data science, and diagnostic skills. …”
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The Characteristics of Runoff Process Structure Changes under the Influence of Climate Change and Human Activities and the Decomposition of Contribution Rate of Impact Factors by Xiaoyuan Song, Zhongyuan Zhu, XiaoKang Xi, Guibin Zhang, Hailong Wang

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Unraveling nonlinear effects of environment features on green view index using multiple data sources and explainable machine learning by Cai Chen, Jian Wang, Dong Li, Xiaohu Sun, Jiyong Zhang, Changjiang Yang, Bo Zhang

“…In this paper, we combine multi-source big data, such as Baidu Street View data and remote sensing images, and utilize semantic segmentation models and geographic data processing techniques to study the global and local interpretation of the Beijing region with GVI as the key indicator. …”
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Potentials of computer simulation of lung tumors in comparison with ^99mТс-MIBI SPECT/CT data by N. V. Denisova, M. A. Gurko, S. M. Minin, Zh. Zh. Anashbaev, A. A. Zheravin, E. A. Samoilova, S. E. Krasilnikov

“…Lung scintigraphy for a patient with peripheral squamous cell carcinoma of the upper lobe of the right lung was performed using a two-detector gamma camera GE Discovery NM/CT 670 DR (USA) with high-resolution collimators for an energy of 140 KeV and a radiopharmaceutical (RP) 99mTc-Technetril (MIBI, Diamed, Moscow). The data obtained were subjected to computer processing using a specialized Xeleris 4.0 system from GE (USA). …”
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Assessment of the effect of the process-induced porosity defects on the fatigue properties of wire arc additive manufactured Al–Si–Mg alloy by Teng Zhan, Ke Xu, Zhipeng Fan, Hanlin Xiang, Congchang Xu, Tianjiao Mei, Yuanyuan Wei, Wentao Chen, Luoxing Li

“…In this study, the influence of process-induced porosity defect characteristics on the fatigue properties of wire arc additive manufacturing (WAAM) Al–Si–Mg parts was quantitatively analyzed using the Kitagawa-Takahashi diagram and machine learning methods. …”
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Quantifying soil wind erosion attribution in Inner Mongolia’s desert grassland by Hongtao Jiang, Wenbang Gao, Baoyuan Liu, An Chang, Qiankun Guo

“…Data analysis was conducted using geographic detectors, which spatially identified the key factors influencing wind erosion and quantitatively assessed their contributions. …”
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Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals by Simfukwe C, An SSA, Youn YC

“…Resting-state EEG (rEEG) signals were recorded and transformed into relative power spectral density (PSD) data for analysis. The processed PSD data, representing 19 scalp regions, were then input into a Random Forest (RF) machine learning classifier to identify distinctive EEG patterns across the groups. …”
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Harnessing AI for Leadership Development: Predictive Model for Leadership Assessment by Abdullahi Abdu Ibrahim, Adel Alomairi

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Segmentation of the iliac crest from CT-data for virtual surgical planning of facial reconstruction surgery using deep learning by Stefan Raith, Tobias Pankert, Jônatas de Souza Nascimento, Srikrishna Jaganathan, Florian Peters, Mathias Wien, Frank Hölzle, Ali Modabber

“…While computer-assisted planning methods are increasingly gaining importance, the necessary preparation of geometric data based on CT imaging remains largely a manual process. …”
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The effect of data analytics quality on fintech P2P lending sustainability through operational performance as an intervening variabl by Efrizal Syofyan, Rino Dwi Putra, Muhammad Alam Mauludina, Vitra Yozi Chaniago, Junaidi Junaidi

“…This study is quantitative research using primary data collected through questionnaires and interviews. …”
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Viral epidemics in a cell culture: novel high resolution data and their interpretation by a percolation theory based model. by Balázs Gönci, Valéria Németh, Emeric Balogh, Bálint Szabó, Ádám Dénes, Zsuzsanna Környei, Tamás Vicsek

“…Because of its relevance to everyday life, the spreading of viral infections has been of central interest in a variety of scientific communities involved in fighting, preventing and theoretically interpreting epidemic processes. Recent large scale observations have resulted in major discoveries concerning the overall features of the spreading process in systems with highly mobile susceptible units, but virtually no data are available about observations of infection spreading for a very large number of immobile units. …”
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Detection of favorable QTL alleles and candidate genes for high pH tolerance in Chinese shrimp Fenneropenaeus chinensis via association and linkage maps by Zhaoxia Li, Jinye Wang, Chuanshi Jia, Chenhui Guan, Yuying He

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Comprehensive surveillance and molecular detection of the Nipah virus in fruit bats (Pteropus vampyrus) across Indonesia: Insights from 2023 to 2024 by Reviany V. Nidom, Setyarina Indrasari, Dhani Prakoso, Astria N. Nidom, Balqis Afifah

“…A total of 305 biological samples (250 swabs and 55 organ tissues) were collected and processed using quantitative reverse transcription polymerase chain reaction targeting the NiV nucleocapsid (N) gene. …”
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