Application and Exploration of Biosensors for Cancer Liquid Biopsy and Artificial Intelligence-Assisted Data Analysis by Zhang Tongrui

“…Traditional detection technology has limitations such as trauma and difficulty in dynamic monitoring, while biosensors combined with liquid biopsy as an emerging non-invasive detection technology can detect tumor-related markers in body fluids and convert them into quantifiable data through biosensors. However, liquid biopsy still faces challenges such as low marker concentration, weak signals, and complex data analysis. …”
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Comparative analysis of data-driven models for spatially resolved thermometry using emission spectroscopy. by Ruiyuan Kang, Dimitrios C Kyritsis, Panos Liatsis

“…The aim of this research is to explore the use of data-driven models in measuring temperature distributions in a spatially resolved manner using emission spectroscopy data. …”
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Estimating the efficiency from Brazilian banks: a bootstrapped Data Envelopment Analysis (DEA) by Ana Elisa Périco, Naja Brandão Santana, Daisy Aparecida do Nascimento Rebelatto

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Analysis of aeromagnetic data over Wamba and its adjoining areas in north-central Nigeria by Anudu G K, Onuba L N, Onwuemesi A G, Ikpokonte A E

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Deep‐NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data by Gengbo Liu, Logan Brooks, John Canty, Dan Lu, Jin Y. Jin, James Lu

“…Abstract Noncompartmental analysis (NCA) is a model‐independent approach for assessing pharmacokinetics (PKs). …”
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Multispacecraft analysis of dipolarization fronts and associated whistler wave emissions using MMS data by H. Breuillard, O. Le Contel, A. Retino, A. Chasapis, T. Chust, L. Mirioni, D. B. Graham, Victoria Wilder, I. Cohen, A. Vaivads, Yu. V. Khotyaintsev, P.‐A. Lindqvist, G. T. Marklund, J. L. Burch, R. B. Torbert, R. E. Ergun, K. A. Goodrich, J. Macri, J. Needell, M. Chutter, D. Rau, I. Dors, C. T. Russell, W. Magnes, R. J. Strangeway, K. R. Bromund, F. Plaschke, D. Fischer, H. K. Leinweber, B. J. Anderson, G. Le, J. A. Slavin, E. L. Kepko, W. Baumjohann, B. Mauk, S. A. Fuselier, R. Nakamura

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Research on management mode of talent team in E-government based on big data analysis by Shixuan Hao

“…In order to achieve efficient and targeted talent management, a talent team management model oriented towards data mining algorithms was constructed based on the analysis of the management mode and data mining technology of talent teams in e-government. …”
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Morphometric analysis of watersheds: A comprehensive review of data sources, quality, and geospatial techniques by Padala Raja Shekar, Aneesh Mathew

“…The analysis of morphometric parameters plays a crucial role in understanding and managing watersheds, making it a fundamental component of hydrological investigations. …”
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Spatial and Temporal Distribution Analysis of Traffic Accidents Using GIS-Based Data in Harbin by Meina Wang, Jing Yi, Xirui Chen, Wenhui Zhang, Tiangang Qiang

“…Road traffic accident data from 2016 to 2018 in Harbin, China, were used for the analysis. …”
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Comparison of Machine Learning Models for Sentiment Analysis of Big Turkish Web-Based Data by Cemile Gökçe Özmen, Selim Gündüz

“…Thus, although there have been significant improvements in the characteristics of big data, such as speed and volume, developing various analysis techniques to monitor, understand, and extract useful information from this web-based data has become challenging. …”
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Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…Performance improvements ranged from 0.3% to 6.4% when transitioning from raw energy consumption data to 2D transformed data. The high accuracy and low false positive rates enable utilities to recover unbilled revenue and reduce inspection costs, amplifying savings compared to raw data or traditional approaches. …”
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Content analysis of multi-annual time series of flood-related Twitter (X) data by N. Veigel, N. Veigel, N. Veigel, H. Kreibich, J. A. de Bruijn, J. A. de Bruijn, J. C. J. H. Aerts, J. C. J. H. Aerts, A. Cominola, A. Cominola

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Optimism in adults born preterm: Systematic review and individual-participant-data meta-analysis. by Rachel K Robinson, Kati Heinonen, Polina Girchenko, Marius Lahti-Pulkkinen, Eero Kajantie, Petteri Hovi, Aulikki Lano, Sture Andersson, Johan G Eriksson, Dieter Wolke, Sakari Lemola, Katri Räikkönen

“…The three identified studies(Helsinki Study of Very Low Birth Weight Adults; Arvo Ylppö Longitudinal Study; Avon Longitudinal Study of Parents and Children) provided data for the two-step random-effects linear regression Individual-Participant-Data meta-analysis.…”
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Integrating petrophysical data into efficient iterative cluster analysis for electrofacies identification in clastic reservoirs by Mohammed A. Abbas, Watheq J. Al-Mudhafar, Aqsa Anees, David A. Wood

“…Therefore, once calibrated with core data in some wells, the model is suitable for application to other wells that lack core data.…”
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The impact of big data analytics on digital marketing decision-making: A comprehensive analysis by Roberta Bajrami, Adelina Gashi, Kaltrina Bajraktari, Etleva Namligjiu

“…Overall, 85% leveraged big data for segmentation, 70% for real-time flexibility, and 60% observed a 20% engagement gain via sentiment analysis. …”
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The Analysis of Scientific Data on the Efficacy of Pneumococcal Conjugated Vaccine in the Cohort of Children with Bronchial Asthma by Tatiana A. Kaliuzhnaia, Marina V. Fedoseenko, Leyla S. Namazova-Baranova, Firuza Ch. Shakhtakhtinskaya, Arevaluis M. Selvyan, Svetlana V. Tolstova, Tatiana E. Privalova

“…The analysis of the article mentioned above has revealed that the representativeness of the data is extremely low. …”
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Latent opportunities for the prevention of ischemic stroke in patients with atherosclerosis-related diseases: additional analysis of randomized trials on rivaroxaban by S. R. Gilyarevskiy

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Cohort data with dropout: a simulation study comparing five longitudinal analysis methods by Rebecca K. Stellato, Rutger M. van den Bor, Maria Schipper, Maud Y. A. Lindeboom, Marinus J. C. Eijkemans

“…Conclusions As expected, LME and CP models performed best in terms of bias and coverage even in the case of higher levels of MAR data. Paired TT and RMA produce biased results and poor coverage and precision in the presence of MAR data.…”
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Antimicrobial prescribing quality in Australian emergency departments: an analysis of the Hospital NAPS data set by Lenna Zosky-Shiller, Karin Thursky, Sarah Park, Rodney James, Lisa Hall, Caroline Chen, Courtney Ierano

“…Design Retrospective analysis of the Hospital National Antimicrobial Prescribing Survey (NAPS) data set. …”
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An Empirical Analysis of Mental Health and Social Support in the Elderly of Different Age Groups: A Survey and Analysis of Data from China by Huiyuan Qiang, Lin Liu

“…The study is structured as follows: the second part contains data sources and statistical methods. The third part is the analysis of empirical results. …”
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