Research on geographic information update index of RTK location big data by Xiangqiang Zeng, Fengsong Zhou, Minsi Ao, Chunhua Chen

Subjects: “…Location big data…”
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Transformation and fate of Fe(III) in petroleum-hydrocarbon-contaminated soil and groundwater by Essouassi Elikem, David Bulmer, Kris Bradshaw, Ardalan Hayatifar, Matthew B. J. Lindsay, Steven D. Siciliano, Derek Peak

“…The groundwater colloids (GWCs) contained mostly octahedrally coordinated Fe(III), but the subsoils contained both octahedrally coordinated Fe(III) and Fe(II). …”
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From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“…Despite these advancements, challenges remain such as data privacy, interoperability of diverse systems, and the computational demands of processing large-scale data. …”
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Appendix 1. Potato Season Weather Data for North Florida, 2006 by Chad M. Hutchinson, Doug Gergela

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Exsanguinated to death by a perforated duodenal ulcer: Masquerader apprehended on autopsy by Priyanka Mishra, Nidhin Rehman, Suvradeep Mitra, Manoj G. Madakshira

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Cellular rejuvenation protects neurons from inflammation-mediated cell death by Sienna S. Drake, Abdulshakour Mohammadnia, Aliyah Zaman, Christine Gianfelice, Kali Heale, Adam M.R. Groh, Elizabeth M.-L. Hua, Matthew A. Hintermayer, Yuancheng Ryan Lu, David Gosselin, Stephanie Zandee, Alexandre Prat, Jo Anne Stratton, David A. Sinclair, Alyson E. Fournier

“…Summary: In multiple sclerosis (MS), inflammation of the central nervous system results in demyelination, neuroaxonal injury, and cell death. However, the molecular signals responsible for injury and cell death in neurons are not fully characterized. …”
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Development of a Worldwide Aerosol Community — from GAeF to IARA by Heinz Fissan

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Review of the application of fgOTN in the interconnection of artificial intelligence data centers by SHI Qingna, WANG Jiaxue, LI Shiyu, CAI Mengru, LIU Xiaodong, YIN Shan, HUANG Shanguo

Subjects: “…interconnection of artificial intelligence data center…”
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Aquatic Toxicology Notes: Predicting the Fate and Effects of Aquatic and Ditchbank Herbicides by Chris Wilson

“…This document is SL236, a fact sheet of the Soil and Water Science Department, UF/IFAS Extension. Original publication date April 2006. …”
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Red date scale, Phoenicococcus marlatti (Cockerell) (Insecta: Hemiptera: Phoenicoccidae) by Adriana Espinosa, Amanda Hodges, Gregg Hodges, Catharine Mannion

“…It describes this most important pest of the date palm, its distribution, field characteristics, life cycle, hosts, general plant damage, and management. …”
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Karl Barth’s Christological anthropology as a basis for building an interreligious relationship by Y.Y. Putra, A. Himawan, Y.K. Susanta

“… This article shows that Barth’s Christological anthropology can contribute to conversations about interreligious relations. …”
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Pesticide Safety Miniposter: Labels and Material Safety Data Sheets (MSDSs) by Rebecca W. Baldwin, Stephanie K. Larrick Hill, Philip Koehler, P. A. Mitola, J. C. Medley

“…ENY-918/IN958: Pesticide Safety Miniposter: Labels and Material Safety Data Sheets (MSDSs) (ufl.edu) …”
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An open data collection of 3D tool and equipment models for neonatology by Serena Bardelli, Gianpaolo Coro, Rosa T. Scaramuzzo, Massimiliano Ciantelli, Armando Cuttano

“…The present technical note describes a data collection of 3D models representing crucial tools and equipment used in maternal and newborn care training. …”
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DRomics, a workflow to exploit dose-response omics data in ecotoxicology by Delignette-Muller, Marie Laure, Siberchicot, Aurélie, Larras, Floriane, Billoir, Elise

“…DRomics has been augmented especially to be able to handle varied omics data considering the nature of the measured signal (e.g. counts of reads in RNAseq) and the way data were collected (e.g. batch effect, situation with no experimental replicates). …”
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An Interval Throwing Program for Baseball Pitchers Based upon Workload Data by Michael M. Reinold, Brittany Dowling, Glenn S. Fleisig, Leonard C. Macrina, Kevin E. Wilk, John T. Streepy, James R. Andrews

“…Past programs have been based on personal experience; however, advances in our understanding of the biomechanics and workloads of throwing allow for a more modern data-based program to be developed. # Hypothesis/Purpose To 1) develop a updated ITP for rehabilitation of modern baseball pitchers based upon biomechanical and throwing workload data, and 2) compare the updated program with a past program to determine differences in chronic workload and acute:chronic workload ratios (ACWR)…”
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Inverse power XLindley distribution with statistical inference and applications to engineering data by Amal S. Hassan, Najwan Alsadat, Christophe Chesneau, Mohammed Elgarhy, Mohamed Kayid, Suleman Nasiru, Ahmed M. Gemeay

“…In addition, it is suitable for various real data since the corresponding hazard rate function has an increasing, decreasing, reverse J-shape or J-shape. …”
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Association between weekend catch-up sleep and depression in US adults by Lingying Le, Ziwei Lan, Chenxi Chen

Subjects: “…Weekend catch-up sleep…”
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The fate and transport of pesticide seed treatments and its impact on soil microbials by Kaiye Li, Qing Cheng, Chao Zeng, Hong Shen, Chensheng Lu

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Genomic data suggest parallel dental vestigialization within the xenarthran radiation by Emerling, Christopher A, Gibb, Gillian C, Tilak, Marie-Ka, Hughes, Jonathan J, Kuch, Melanie, Duggan, Ana T, Poinar, Hendrik N, Nachman, Michael W, Delsuc, Frédéric

“…By contrast, in the two major armadillo clades, genes pertaining to the dento-gingival junction and amelogenesis appear to have been independently inactivated prior to losing all or some enamel. These genomic data provide evidence for multiple pathways and rates of anatomical regression, and underscore the utility of using pseudogenes to reconstruct evolutionary history when fossils are sparse. …”
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An Interactive Clustering-Based Visualization Tool for Air Quality Data Analysis by Mahsa Ashouri, Frederick Kin Hing Phoa, Chun-Houh Chen, Galit Shmueli

“…The tool clusters the series into four clusters that reveal several phenomena, including an improvement in Taiwan’s air quality since 2017 in all regions, although at varying rates, an increasing pattern of PM2.5 concentration when moving from northern towards southern regions, winter/summer seasonal patterns that are more pronounced in certain types of areas (e.g., industrial), and unusual behavior in the southernmost region. …”
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