Selection of molecular markers for genetic certification of <i>Triticum aestivum</i> by M. A. Samarina, D. S. Uliyanov, T. D. Mokhov, Ya. S. Meglitskaya, P. Yu. Krupin, G. I. Karlov, P. N. Kharchenko, S. I. Voronov, N. V. Davydova, M. G. Divashuk

“…Based on the literature data, there have been selected the most polymorphic SSR markers using the invented algorithm. The analysis of databases of SSR markers in the genome of common wheat using bioinformatics methods allowed establishing a minimal discriminatory set of 20 markers that can detect 419 different alleles in Triticum aestivum. …”
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Lipids as key biomarkers in unravelling the pathophysiology of obesity-related metabolic dysregulation by Anis Adibah Osman, Siok-Fong Chin, Lay-Kek Teh, Noraidatulakma Abdullah, Nor Azian Abdul Murad, Rahman Jamal

“…Metabolites were identified using a molecular feature and chemical formula algorithm, followed by a differential analysis using MetaboAnalyst 5.0. …”
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Enhancing the Accuracy of Land Use/Cover Map Using Some Spectral Indices in Sarab County–East Azerbaijan by A. Sarabchi, H. Rezaei, F. Shahbazi

“…The results of image classification indicated that the performance of the SVM algorithm across different band combinations is superior to that of the maximum likelihood method. …”
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Exploring the Realization of Creative Dimensions within the Metaverse: The Case of Tabriz Metropolis by Saied Jaffari namvar, Hossein Nazmfar, Ibrahim Taghav

“…In the second stage, again, for more precise identification and evaluation of the criteria by completing 20 questionnaires by other experts, each of the above items was evaluated and weighted based on the best-worst method and then confirmed in the analytical model algorithm. …”
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Corporate Real Estate alignment by Monique Arkesteijn

“…The three pilot studies showed that PAS can be applied in different organizations, and for different types of problems with a different level of complexity. …”
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Optimizing Superior Seed Bunches: A New Approach to Artificial Pollination with Machine Learning Models by Yabani Yabani, Retna Astuti Kuswardani

“…The K-means clustering algorithm is applied to group data based on similarities in key variables. …”
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Acute kidney injury, the present on admission (POA) indicator and sex disparities: observational study of inpatient real-world data in a Swiss tertiary healthcare system. Explorati... by Michael Simon, Sarah N Musy, Karen Triep, Olga Endrich

“…As our results show sex differences, that is, a lower morbidity of female patients for each stage, but a higher mortality, a deeper evaluation of the implied sex differences in staging of KD should follow.The general results confirm the necessity of a diagnosis-onset reporting in health statistics.…”
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InBRwSANet: Self-attention based parallel inverted residual bottleneck architecture for human action recognition in smart cities. by Yasir Khan Jadoon, Muhammad Attique Khan, Yasir Noman Khalid, Jamel Baili, Nebojsa Bacanin, MinKyung Hong, Yunyoung Nam

“…Moreover, these datasets define the evaluation scope within a particular domain and guarantee relevance to real-world circumstances. …”
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Assessment of the Prevalence and Epidemic Spread of Strains of Ancient, and Modern Sublineages of the Mycobacterium tuberculosis Beijing Genotype in Omsk Region by O. A. Pasechnik, A. A. Vyazovaya, A. I. Bloch, I. V. Yarusova, M. P. Tatarintseva, I. V. Mokrousov

“…Following the generally accepted algorithm of descriptive and evaluation epidemiological research, the incidence, prevalence, and mortality from tuberculosis in the Omsk region for the period 2009-2019 were studied. …”
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Prevalence of advanced liver fibrosis in the general population of the Paris region according to FIB-4 score and liver risk score by Henri Tran, Stefano Caruso, Anne-Laure Mazialivoua, Cecile Fargeat, Odile Rousselet, Adrien Ko, Vincent Leroy, Patrick Ingiliz

“…Conclusion The Liver Risk Score is a practical tool to identify a population in need of further hepatologic evaluation. Compared to FIB-4, the population identified by LRS is smaller and different. …”
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Identifying optimized spectral and spatial features of UAV-based RGB and multispectral images to improve potato nitrogen content estimation by Hang Yin, Haibo Yang, Yuncai Hu, Fei Li, Kang Yu

“…Based on the evaluation of RReliefF algorithm, the RGB-based multi-scale texture and MS-based spectral indices were the most important for PNC. …”
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AI-driven modeling for predicting compressive strength of recycled aggregate concrete under thermal conditions for sustainable construction by Morteza Ghodratnama, Amir R. Masoodi, Amir H. Gandomi

“…This research utilizes sophisticated artificial intelligence (AI) methodologies to forecast the compressive strength of recycled aggregate concrete (RAC) under different temperature scenarios, marking a notable advancement in sustainable construction methodologies. …”
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METHODS OF MATHEMATICAL STATISTICS AS A MEANS OF PROFESSIONAL COMPETENCE FORMATION OF STUDENTS-ECOLOGISTS by S. I. Toropova

“…The experience of such training in different universities of Russia was summarized. Results and scientific novelty. …”
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Research Progress on Information Model of Urban Green Space by Wei ZHANG, Yahan YAN

“…Additionally, due to the growth and changing processes of plants, corresponding dynamic simulation algorithms need to be established. By summarizing and analyzing the green space-related components of existing digital information model standards both domestically and internationally, this research explores different expression methods suitable for green space information modeling by focusing on three aspects: model composition, data relationship, and analytical evaluation applications. …”
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Host Circulating Immunometabolism-Associated Biomarkers for Early Diagnosis of Active Tuberculosis: Multi-Omics Screening with Experimental Validation by Yang Z, Dong Y, Shang Y, Li H, Ren W, Li S, Pang Y

“…Correlation analysis between gene expression and immune cell infiltration was performed using the CIBERSORT algorithm. Single-cell RNA-seq analysis was performed to explore the expression of hub genes in the different immune cells.Results: In this study, we first obtained 41 differentially expressed metabolism-related genes in active TB patients compared to HCs through bulk transcriptomic analysis. …”
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Model of three-way decision based on the space of set pair information granule and its application by Chun-ying ZHANG, Li-ya WANG, Ming-xia LI, Bao-xiang LIU

“…Through the analysis of the existing theory and method of three-way decision,model of three-way decision based on the space of set pair information granule was proposed,which was to explain the intension and extension of three-way decision on the view of unity of opposites.Firstly the space structure of set pair information granule can be di-vided into positive granule,negative granule,different granule,which were similar and slightly different with three re-gions of generalized three-way decision.The three kinds of information granules in set pair information granule space were built based on certain positive degree,negative degree and different degree.Secondly,according to the given threshold,set pair information granule is divided into mutually disjointing positive region,negative region and different region.Based on these three regions,the computing method of decision loss function is put forward,and the process of decision-making algorithm is obtained use the three-way decision method of set pair information granule space to evalu-ate and make decision on risk investment,then good decision results have been achieved.…”
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Model of three-way decision based on the space of set pair information granule and its application by Chun-ying ZHANG, Li-ya WANG, Ming-xia LI, Bao-xiang LIU

“…Through the analysis of the existing theory and method of three-way decision,model of three-way decision based on the space of set pair information granule was proposed,which was to explain the intension and extension of three-way decision on the view of unity of opposites.Firstly the space structure of set pair information granule can be di-vided into positive granule,negative granule,different granule,which were similar and slightly different with three re-gions of generalized three-way decision.The three kinds of information granules in set pair information granule space were built based on certain positive degree,negative degree and different degree.Secondly,according to the given threshold,set pair information granule is divided into mutually disjointing positive region,negative region and different region.Based on these three regions,the computing method of decision loss function is put forward,and the process of decision-making algorithm is obtained use the three-way decision method of set pair information granule space to evalu-ate and make decision on risk investment,then good decision results have been achieved.…”
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Mutual Defense Scheme for Secure Data Aggregation in Wireless Sensor Networks by Hu Rong-hua, Dong Xiao-mei, Wang Da-ling

“…Considering that the readings sensed by neighbor nodes exhibit temporal and spatial correlation, a constraint parameter, called maximum tolerant difference (MTD), is introduced and the quantitative criteria for abnormal readings evaluation are given. …”
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Stellar ejection velocities from the binary supernova scenario: A comparison across population synthesis codes by Tom Wagg, David D. Hendriks, Mathieu Renzo, Katelyn Breivik

“…We present a comparison of the predicted ejection velocities of disrupted binary companions in three different population synthesis codes: COSMIC, COMPAS, and binary_c, which use two independent algorithms for the treatment of natal kicks. …”
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Modeling of digital spatial processing under conditions of troposphere propagation of centimeter radio waves for wireless telecommunication by Ilia W. Peshkov, Dmitry N. Borisov

“…The performance of algorithms for direction-of-arrival estimation and beamforming in the troposphere can be evaluated using ray tracing simulation.Methods. …”
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