A Digital Photo Activity Intervention for Nursing Home Residents With Dementia and Their Carers: Mixed Methods Process Evaluation by Josephine Rose Orejana Tan, David P Neal, Maria Vilmen, Petra Boersma, Teake P Ettema, Robbert J J Gobbens, Sietske A M Sikkes, Rose-Marie Dröes

“…Google Analytics was set up to gain insight into how the Fotoscope web application was used in practice. For quantitative data, descriptive statistics were calculated and differences between groups tested. …”
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Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction—A Study Protocol by Hanna Maria Dragoș, Adina Stan, Livia Livinț Popa, Roxana Pintican, Diana Feier, Nicu Cătălin Drăghici, Dragoș-Cătălin Jianu, Diana Chira, Ștefan Strilciuc, Dafin F. Mureșanu

“…The patients will undergo comprehensive assessments, including neuropsychological testing, brain MRI, and quantitative EEG (QEEG), across four visits over a year. …”
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Machine learning approaches for spatial omics data analysis in digital pathology: tools and applications in genitourinary oncology by Hojung Kim, Hojung Kim, Jina Kim, Jina Kim, Su Yeon Yeon, Sungyong You, Sungyong You

“…The review contains three sections: 1) an overview of image processing approaches for histopathology slide analysis; 2) machine learning integration with spatially resolved omics data analysis; 3) a discussion of current limitations and future directions for integration of machine learning in the clinical decision-making process.…”
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Protocol for unlocking alternative polyadenylation insights from bulk RNA-seq data with PolyAMiner-Bulk by Venkata Jonnakuti, Sriya Jonnakuti, Hari Krishna Yalamanchili

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DYNAMICS PREVALENCE AND INTENSITY OF CHILDREN DENTAL CARIES WITH ACUTE RECURRENT RESPIRATORY VIRAL INFECTIONS IN THE PROCESS OF PROFILACTIC ACTION by L.F. Kaskova, O.S. Pavlenkova

“…This studied prevalence (%) and intensity of caries in terms CPD + KP. Quantitative indicators are statistically processed by the Student- Fisher (r≤0,01). …”
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Method for Preprocessing Video Data for Training Deep-Learning Models for Identifying Behavioral Events in Bio-Objects by Marina Barulina, Alexander Andreev, Ilya Kovalenko, Ilya Barmin, Eduard Titov, Danil Kirillov

“…When processing such data, it is necessary to consider additional factors, such as background noise in the frame, the speed of the bio-object, and the need to reflect information about the previous (past) and subsequent (future) pose of the bio-object in one video frame. …”
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The State of Criminality in Tajikistan by Yuldoshev Rifat Rahmadjonovich, Safarzoda Anvar Islom, Mahmadzoda Neru

“…The research analyzed the “pros” and “cons” of the social control of criminality as well as specified the collection, processing and thorough analysis of statistical data. …”
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Review on the current trends in tongue diagnosis systems by Chang Jin Jung, Young Ju Jeon, Jong Yeol Kim, Keun Ho Kim

“…Tongue diagnosis is an essential process to noninvasively assess the condition of a patient's internal organs in traditional medicine. …”
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Evaluation of normalisation strategies for qPCR data obtained from canine gastrointestinal tissues with different pathologies by Maria G. Luigi-Sierra, Janne G. Lyngby, Ann-Sofie Ingerslev, Jennifer Mari Jacobsen, Lise N. Nielsen, Susanna Cirera

“…Normalisation is a critical process used to minimise technical variability introduced during sample processing. …”
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Multimodal Fusion Mamba Network for Joint Land Cover Classification Using Hyperspectral and LiDAR Data by Haizhu Pan, Ruixiang Zhao, Haimiao Ge, Moqi Liu, Quanxiu Zhang

“…With the rapid advancement of deep learning technologies, the use of computers for processing and analyzing multimodal remote sensing data has attracted significant attention. …”
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Denoising Diffusion Probabilistic Model for Realistic and Fast Generated Euclid-like Data for Weak Lensing Analysis by Diana Scognamiglio, Jake H. Lee, Eric Huff, Sergi R. Hildebrandt, Shoubaneh Hemmati

“…Understanding and mitigating measurement systematics in weak lensing (WL) analysis requires large data sets of realistic galaxies with diverse morphologies and colors. …”
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Multi-Temporal Remote Sensing Satellite Data Analysis for the 2023 Devastating Flood in Derna, Northern Libya by Roman Shults, Ashraf Farahat, Muhammad Usman, Md Masudur Rahman

“…The recommendations for data usage and further processing in Google Earth Engine were developed.…”
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Estimating Soil Cd Contamination in Wheat Farmland Using Hyperspectral Data and Interpretable Stacking Ensemble Learning by Liang Zhong, Meng Ding, Shengjie Yang, Xindan Xu, Jianlong Li, Zhengguo Sun

“…We gathered soil samples from wheat fields and analyzed soil spectral data and Cd level in the lab. First, we pre-processed the spectra utilizing fractional-order derivative (FOD) and standard normal variate (SNV) transforms to highlight the spectral features. …”
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Pharmacological Properties of Synthetic Cannabinoids, Specifics of Their Detection and Forensic Examination by O. M. Serdega

“…The article evaluates the applicability of instrumental analysis techniques for the qualitative identification and quantitative determination of target compounds, especially in the presence of masking agents or interfering processes during sample preparation and analysis. …”
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…Abstract Due to imbalanced data values and high-dimensional features of lung cancer from CT scans images creates significant challenges in clinical research. …”
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Does Augmented Reality Effectively Foster Visual Learning Process in Construction? An Eye-Tracking Study in Steel Installation by Ting-Kwei Wang, Jing Huang, Pin-Chao Liao, Yanmei Piao

“…Compared to the TG-based material, we find that both AR-based and PM-based materials foster extraneous processing and thus further promote generative processing, resulting in better learning performance. …”
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Information Security Risk Assessment Method for Electric Vehicle Charging Piles Based on Fuzzy Analytic Hierarchy Process by Weixian WANG, Zhou SUN, Mingyu PAN, Baoqun ZHANG, Zhongwei LI, Lin YE

“…In order to quantitatively evaluate the information security level of the electric vehicle charging pile system and identify its vulnerability and hidden security risks, an information security risk assessment scheme and process is designed for electric vehicle charging pile system based on the fuzzy analytic hierarchy process; a security value hierarchical analysis model, a security threat hierarchic analysis model and an evaluation index system are established for the electric vehicle charging pile system assets. …”
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Monitoring pilot trainees’ cognitive control under a simulator-based training process with EEG microstate analysis by Mengting Zhao, Wenjun Jia, Sion Jennings, Andrew Law, Alain Bourgon, Chang Su, Marie-Hélène Larose, Hugh Grenier, David Bowness, Yong Zeng

“…The present research aims to investigate changes in trainees’ cognitive control levels during a pilot training process while they underwent basic flight maneuvers. …”
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Identification of novel biomarkers and prognostic model for neuroblastoma using Mendelian randomization and transcriptomic analysis by Yongcheng Fu, Nan Zhang, Jian Cheng, Xiaohan Qin, Xing Zhou, Xiaoran Du, Yuanyuan Wang, Jingyue Wang, Da Zhang

“…We used chip expression data from the GEO database to screen for differentially expressed genes (DEGs) and conducted two-sample MR analysis using expression quantitative trait loci (eQTL) and neuroblastoma data from the IEU database to identify co-expressed genes through colocalization. …”
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Russian Emigrant Community in Toulon in 1920-1930-s: Formation and Composition by M. M. Rudkovskaya

“…The paper presents the results of a comparative analysis of statistical data on the quantitative and gender composition of the Russian community of Toulon in the studied period. …”
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