Quantitative analysis of studies that use artificial intelligence on thyroid cancer: a 20-year bibliometric analysis by YingZheng Gao, JiaHao Chen, Tao Fu, Yi Gu, WeiDong Du

“…A retrospective bibliometric analysis and visualization study of the filtered data were conducted using VOSviewer, CiteSpace, and the Bibliometrix package in R software. …”
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BGATT-GR: accurate identification of glucocorticoid receptor antagonists based on data augmentation combined with BiGRU-attention by Watshara Shoombuatong, Pakpoom Mookdarsanit, Nalini Schaduangrat, Lawankorn Mookdarsanit

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Association of ambient temperature and influenza-like illness with acute appendicitis: an ecological study using 22-year data by On Tai Ken Yu, Xiaoting Jiang, Conglu Li, Yawen Wang, Yuchen Wei, Ka Chun Chong

“…Other covariates including weekly mean relative humidity, total rainfall and a composite index for air pollution were used for confounder control. …”
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Investigating the Impact of Optical Snow Cover Data on L-Band InSAR Snow Water Equivalent Retrievals by Jack Tarricone, Ross Palomaki, Karl Rittger, Anne Nolin, Hans-Peter Marshall, Carrie Vuyovich

“…Our study aims to understand how differences between optically derived snow cover data products propagate variability and uncertainty into interferometric synthetic aperture radar (InSAR) SWE change retrievals. …”
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Permafrost Dynamics Observatory: 3. Remote Sensing Big Data for the Active Layer, Soil Moisture, and Greening and Browning by Elizabeth Wig, Kevin Schaefer, Roger Michaelides, Richard Chen, Leah K. Clayton, Brittany Fager, Lingcao Huang, Andrew D. Parsekian, Howard Zebker, Yingtong Zhang, Yuhuan Zhao

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A collaborative approach to advancing research and training in Public Health Data Science—challenges, opportunities, and lessons learnt by Elisha Abade, Wondwossen Mulugeta, Idah Orowe, Getachew Hailemariam, Patrick Weke, Rahel Bekele, Isabelle Zaugg, Jeff Goldsmith, Tiffany Sanchez, Kiros Berhane

“…The lack of human capacity and resources for public health data analysis as well as the dire need to use modern technology for better understanding and possible intervention cannot be dealt with currently available educational programs and computing infrastructure, demanding a great deal of collaboration and investments within Africa and with the Global North This paper describes processes undertaken to establish sustainable research training programs and to train a new generation of data scientists with knowledge, mentoring, professional skills, and research immersion. …”
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CdSe reinforced polythiophene nanocomposites as excellent materials for diode applications by R. Singh, A. K. Shrivastava, A. K. Bajpai

“…X-ray diffraction (XRD) data of composites revealed that the crystallite size was of the order of 45–47 nm. …”
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The Influence of Digital Talent Development and Green Innovation and The Use of Green Innovation As Mediation To Measure Data Centre Performance by Rifa Herdian, Mohammad Syamsul Maarif, Anggraini Sukmawati, Irman Hermandi

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Blockchain-Based Iot Security and Performance Analysis by Arafat Şentürk, Selami Terazi

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Alkasite restorative material for endodontically treated teeth: a randomized controlled pilot study by Davi Ariel Nobuo Bepu, Renata Siqueira Scatolin, Natalia Saud Junqueira Franco, Luiza Pejon Sanchez, Aline Evangelista Souza-Gabriel, Silmara Aparecida Milori Corona

“…Additionally, the assessment encompassed the presence of radiolucent lines adjacent to the restoration, material deficiencies or excess, contact points, and caries recurrence. The data underwent analysis using the Friedman and Mann-Whitney tests (α = 0.05).ResultsAfter 17 months, the results revealed that the alkasite restorative material exhibited greater wear of anatomical shape compared to the bulk-fill resin composite (p = 0.0189). …”
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Paediatric Personalized Research Network Switzerland (SwissPedHealth): a joint paediatric national data stream by Julia A Bielicki, Luregn J Schlapbach, Klara Posfay-Barbe, Sven Schulzke, Martin Stocker, Anita Rauch, Christopher B Forrest, Effy Vayena, Claudia E Kuehni, Jacques Fellay, Philipp Latzin, Christian Kahlert, Seraina Prader, Ben D Spycher, Katrin Männik, Jana Pachlopnik Schmid, Klara M Posfay-Barbe, Roger Lauener, Keith Harshman, Kelly Ormond, Manon Jaboyedoff, Eric Giannoni, Tatjana Welzel, Dylan Lawless, Rebeca Mozun, Fabiën N Belle, Andrea Agostini, Matthias R Baumgartner, D Sean Froese, Sandra Goetze, Kathrin Hofmann, Aurélie Martin Necker, Patrick G A Pedrioli, Sven M Schulzke, Nicola Zamboni, Julia E Vogt, Audrey van Drogen, Aurélie Martin Necker, Cornelia Hagman, D Sean Froese, Daphné Chopard, Eirini I Petrou, Emanuele Palumbo, Ioannis Xenarios, Jana Pachlopnik Schmid, Léa Ho Dac, Lorenz M Leuenberger, Mariam Ait Oumelloul, Nicole Goebel, Simon Boutry, Thomas M Sutter, Varvara Dimopoulou, Vito RT Zanotelli, Xeni Deligianni, Xenia Bovermann, Yara Shoman, Anna Hartung

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Low-Rank Kernel-Based Semisupervised Discriminant Analysis by Baokai Zu, Kewen Xia, Shuidong Dai, Nelofar Aslam

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Avaliação da resistência à tração entre sistemas para reparo de revestimento estético e liga de níquel-cromo. by Osvaldo Daniel Andreatta Filho, Renato Sussumu Nishioka

“…Results: Means and standard deviation of bond strength (MPa) were: G1: 24.49 ± 4.80, G2: 19.51 ± 3.90, G3: 38.93 ± 3.37 and G4: 36.49 ± 3.45. The data were analyzed by the analysis of variance test (ANOVA) indicating that values of bond strength of the group G3 and G4 were significantly larger than the groups G1 and G2. …”
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Maintaining Query Performance through Table Rebuilding & Archiving by Widyastuti Andriyani, Pujianto Pujianto

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The Analysis of Process of Crushing in the Vibrocavitational Homogenizer by E. V. Flisyuk, S. S. Belokurov, I. A. Narkevich, O. M. Flisyuk, D. Yu. Ivkin

“…After each experiment, the meal was taken, dried, and sieve analysis of the dispersed composition was carried out.Results and discussion. …”
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scGRN-Entropy: Inferring cell differentiation trajectories using single-cell data and gene regulation network-based transfer entropy. by Rui Sun, Wenjie Cao, ShengXuan Li, Jian Jiang, Yazhou Shi, Bengong Zhang

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A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses. by William T Harvey, Vinny Davies, Rodney S Daniels, Lynne Whittaker, Victoria Gregory, Alan J Hay, Dirk Husmeier, John W McCauley, Richard Reeve

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Accurate and Data‐Efficient Micro X‐ray Diffraction Phase Identification Using Multitask Learning: Application to Hydrothermal Fluids by Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li, Xin Zhang

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scICE: enhancing clustering reliability and efficiency of scRNA-seq data with multi-cluster label consistency evaluation by Hyun Kim, Issac Park, Jong-Eun Park, Jong Kyoung Kim, Minseok Seo, Jae Kyoung Kim

“…Abstract Clustering analysis is a fundamental step in scRNA-seq data analysis. …”
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Experience of image-analysis of rye grain by P. Ä. Zykin, E. I. Utkina, A. V. Voylokov

“…Software GrainScan developed for wheat was adapted for computer analysis of digital images of rye kernels obtained with flatbed scanner. …”
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