IoT business guarantee method based on behavioral portrait by Longgang ZHAO, Hansheng LIU, Feng WANG, Shuang DI

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Identification of Challenging Dermatophyte Species Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry by Tsung-Fu Tsai, Yun-Chen Fan, Jang-Jih Lu, Chun-Chih Chien, Hsin-Yao Wang, Pei-Lun Sun

“…This study presents an efficient, standardized MALDI-TOF MS protocol for routine dermatophyte identification and provides a review of the current status and influencing factors in MALDI-TOF MS-based dermatophyte identification strategies.…”
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Identification of a presymptomatic and early disease signature for amyotrophic lateral sclerosis (ALS): protocol of the premodiALS study by Laura Tzeplaeff, Ana Galhoz, Clara Meijs, Lucas Caldi Gomes, Andrej Kovac, Amrei Menzel, Hatice Değirmenci, Abir Alaamel, Hüseyin Can Kaya, Ali Günalp Çelik, Sine Dinçer, Meltem Korucuk, Sibel Berker Karaüzüm, Elif Bayraktar, Vildan Çiftçi, Uğur Bilge, Filiz Koç, Antonia F. Demleitner, Anne Buchberger, Ricarda von Heynitz, Vincent Gmeiner, Christina Knellwolf, Mohammed Mouzouri, Joanne Wuu, A. Nazli Başak, Peter Munch Andersen, Florian Kohlmayer, Nicholas J. Ashton, Wojciech Kuban, Christof Lenz, Mary-Louise Rogers, Norbert Zilka, Philippe Corcia, Yossef Lerner, Markus Weber, Monika Turcanova Koprusakova, Hilmi Uysal, Michael Benatar, Michael P. Menden, Paul Lingor

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Detection of pulmonary nodules: a clinical study protocol to compare ultra-low dose chest CT and standard low-dose CT using ASIR-V by Marie Ludwig, Emilie Chipon, Julien Cohen, Emilie Reymond, Maud Medici, Anthony Cole, Alexandre Moreau Gaudry, Gilbert Ferretti

“…Total dose of the entire exam (LD+ULD) is lower than the French diagnostic reference level for a chest CT (6.65 millisievert). …”
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Isolation and Identification of Aglicones of Flavonoids of Some Species of the Genus <i>Astragalus</i> L. of the Volga Region Flora by U. A. Matvienko, N. A. Durnova, A. M. Poluyanov, N. V. Bobkova, V. N. Turenko, V. V. Smirnov, G. V. Ramenskaya

“…Compounds in the hydrolysates were identified by the retention times and UV spectra of a mixture of reference standards (RS) of quercetin, isorhamnetin, luteolin, kaempferol, and apigenin.Results and discussion. …”
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Application of Raman spectroscopy in the quality control of injectable medicines by M. P. Krasheninina, M. Yu. Medvedevskikh, E. V. Galeeva, R. R. Galeev

“…In addition, the possibility of developing reference materials based on the medicines under study is indicated. …”
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Multi-year comparison of VITEK MS performance for identification of rarely encountered pathogenic gram-positive organisms (GPOs) in a large integrated Canadian healthcare region by D.L. Church, T. Griener, D. Gregson

“…This study verified the performance of VITEK MS for identification of a broad range of rare and unusual clinical GPO isolates by our large reference laboratory workflow over a multi-year period. …”
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EN 1785:2003 method for the identification of ionizing treatment in poultry meat products: optimization of the accelerated solvent extraction procedure by Maria Campaniello, Rosalia Zianni, Andrea Chiappinelli, Annalisa Mentana, Valeria Nardelli

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Evaluation of an Immunoassay-Based Algorithm for Screening and Identification of Giardia and Cryptosporidium Antigens in Human Faecal Specimens from Saudi Arabia by Yousry Hawash

“…An immunoassay-based algorithm, involving three commercial kits, was introduced and evaluated for screening and identification of Giardia/Cryptosporidium antigens in human stool specimens. …”
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Quality analysis and characteristic difference identification of organic tea and conventional planting tea based on ICP, HPLC and machine algorithm by De Zhou, Yunfei Hu, Xi He, Lijuan Du, Lian Bao, Ming Zhao, Jinliang Shao, Qingyan Tang

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Sources Identification and Health Risk Evaluation of 10 Heavy Metals (Metalloids) in Soils of the Aibi Lake Basin, Northwest China by Zhang Zhaoyong, Guo Jieyi, Wang Pengwei

“…The results can provide reference values for heavy metals pollution prevention and the protection of the environment in the Aibi lake basin and as well as central Asia.…”
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Evaluation of Sentinel-2 Deep Resolution 3.0 Data for Winter Crop Identification and Organic Barley Yield Prediction by Milen Chanev, Ilina Kamenova, Petar Dimitrov, Lachezar Filchev

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Rapid Identification of Constituents in <i>Polygonatum cyrtonema</i> Hua Using UHPLC-Q-Exactive Orbitrap Mass Spectrometry by Qingrui Yang, Jieyao Ma, Shenlong Yan, Suyu Yang, Lingxuan Fan, Yanghui Huo, Bowen Gao, Wei Cai

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Assessment of urban flood resilience and obstacle factors identification: A case study of three major urban agglomerations in China by Yi Xiao, Xi Rao, Ming Chang, Liang Chen, Huan Huang

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Validity of the Updated Rx-Risk Index as a Disease Identification and Risk-Adjustment Tool for Use in Observational Health Studies by Widagdo I, Kerr M, Kalisch Ellett L, Schlegel C, Sadeqzadeh E, Wang A, Clarke AL, Pratt N

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Identification of Indicators for the Evaluation of Health Disaster Management Interventions during the Relief Phase: Scoping Review of the Peer-Reviewed Literature by Sofie Pauwels, Michel Debacker, Ives Hubloue

“…First, there is an urgent need for the standardization of definitions and the development of a glossary. …”
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Identification and Differentiation of Non-Hemolytic <i>Listeria monocytogenes</i> from Food Processing Environments Using MALDI-TOF MS by Barbara Szymczak

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Modern Bioinformatics Solutions Used for Genetic Data Analysis by Ya. A. Kibirev, A. V. Kuznetsovskiy, S. G. Isupov, I. V. Darmov

“…The key factor that largely determines the effectiveness of the genetic analysis methods used is  the competent use of the necessary bioinformatics software utilities. Standard stages of primary genetic data analysis  are assessment of the quality control, data preprocessing, mapping to a reference genome or de novo genome assembly,  genome annotation, typing and identification of significant genetic determinants (resistance to antibacterial drugs,  pathogenicity factors, etc.), phylogenetic analysis. …”
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Classification and Recognition of Soybean Quality Based on Hyperspectral Imaging and Random Forest Methods by Man Chen, Zhichang Chang, Chengqian Jin, Gong Cheng, Shiguo Wang, Youliang Ni

“…To achieve the rapid and accurate classification and identification of soybean components, this study selected soybeans harvested by the 4LZ-1.5 soybean combine harvester as the research subject. …”
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Differentiation of early-stage tumors from benign lesions manifesting as pure ground-glass nodule: a clinical prediction study based on AI-derived quantitative parameters by Shuxiang Chen, Huijuan Zhang, Yifan Chen, Shuo Chen, Wenfu Cao, Yongxiu Tong

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