Multiplex Real-Time PCR Assay Using TaqMan Probes for the Identification of Trypanosoma cruzi DTUs in Biological and Clinical Samples. by Carolina I Cura, Tomas Duffy, Raúl H Lucero, Margarita Bisio, Julie Péneau, Matilde Jimenez-Coello, Eva Calabuig, María J Gimenez, Edward Valencia Ayala, Sonia A Kjos, José Santalla, Susan M Mahaney, Nelly M Cayo, Claudia Nagel, Laura Barcán, Edith S Málaga Machaca, Karla Y Acosta Viana, Laurent Brutus, Susana B Ocampo, Christine Aznar, Cesar A Cuba Cuba, Ricardo E Gürtler, Janine M Ramsey, Isabela Ribeiro, John L VandeBerg, Zaida E Yadon, Antonio Osuna, Alejandro G Schijman

“…In this context, we aimed to develop a multiplex Real-Time PCR method to identify the six T. cruzi DTUs using TaqMan probes (MTq-PCR).<h4>Methods/principal findings</h4>The MTq-PCR has been evaluated in 39 cultured stocks and 307 biological samples from vectors, reservoirs and patients from different geographical regions and transmission cycles in comparison with a multi-locus conventional PCR algorithm. …”
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Mathematical support for solving the direct problem of chemical kinetics to clarify the main patterns of pollutant emissions by Terekhov Aleksandr, Huaman de los Eros Federico, Ziganshina Fayruza, Mavlyutova Svetlana, Bespalov Ilya, Galimov Aydar

“…Determination of kinetic parameters and obtaining the dependence of concentrations of substances on time is the main stage in the construction of a kinetic model. …”
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A Comprehensive Review of the Main Heavyweight and Lightweight SDLC for Big Data Analytics Systems (BDAS) by David Alejandro Montoya-Murillo, Sergio Galvan-Cruz, Manuel Mora, Estela Lizbeth Munoz Andrade

“…However, despite the advanced technological progress &#x2013; i.e. on BDAS algorithms, languages and platforms-, their development has been mainly through uncomplete ad-hoc or old rigorous heavyweight System Development Life Cycles (SDLC). …”
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The Emerging Role of Computed Tomography Coronary Angiography in the Left Main Stem Percutaneous Coronary Intervention by Asad Shabbir, Abdelrahman Attia, Nikkole Marie Weber, Mustafa Alhassan, Monika Radike, Conor M Lane, Apurva Bhavana Challa, Malgorzata Wamil

“…Beyond its utility in diagnosing CAD, CTCA has become instrumental in procedural planning for percutaneous coronary intervention (PCI), particularly in complex cases such as left main stem (LMS) interventions, where peri-procedural risks are elevated. …”
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Fault diagnosis method of mine hoist main bearing with small sample based on VAE-WGAN by Fan JIANG, Hongyan SONG, Xi SHEN, Zhencai ZHU, Shuman CHENG

“…Furthermore, a fault diagnosis method based on CBAM-MobileNetV2 is proposed to achieve fault diagnosis of mine hoist main bearings under small sample data. At the algorithmic level, the Wasserstein distance metric is introduced to solve the problem of vanishing training gradients in generative adversarial networks. …”
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Algorithm of surgical treatment of postoperative peritonitis by I. M. Shevchuk, M. M. Droniak, V. M. Droniak

“…To improve the results of surgical treatment in patients with postoperative peritonitis, using the certain algorithm proposed. Materials and methods. Prospective investigation was conducted on 244 patients, suffering postoperative peritonitis (the main group). …”
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Optimization Algorithm for Selecting Compressible Data by E. V. Mozhenkova, T. O. Titovets, A. I. Paramonov

“…This can significantly reduce the use of computing power. The main performance characteristics of the described algorithm are determined.…”
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Design of a Manned-Unmanned Teaming System and Forward-Formation Control for Crevasse Detection in the Path of a Human-Driven Vehicle by Ji-Wook Kwon, Hyoujun Lee, Taeyoung Uhm, Jongdeuk Lee, Na-Hyun Lee, Young-Ho Choi

“…This paper proposes a Man-Unmanned Teaming (MUM-T) system, which is designed to protect manned vehicles traveling in Antarctica from hazards such as crevasse by collaborating with a crevasse exploration robot. …”
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Technologies and Algorithms for Building the Augmented Reality by I. A. Blagoveshchenskiy, N. A. Demyankov

“…In order to analyze video stream and recognize known objects in it, algorithms of the Computer Vision are used. The authors give a short description and the main characteristics only of two of them: genetic algorithms and feature detection &amp; description. …”
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New algorithm for the diagnosis of hereditary dystonia by Sarah Camargos, Francisco Cardoso

“…Taking into account the crescent interest in the field of dystonia genetics, we have organized a didactic and fast algorithm to diagnose the main forms of hereditary dystonias. …”
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New Parallel Algorithms for BVPs in ODEs by Bashir Khalaf

“…The main objective of this paper is the development of a new parallel integration algorithm for Solving Boundary Value Problem (BVPs) in Ordinary Differential Equation, (ODEs). …”
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Algorithm for choosing the best available technology by V. I. Bondarenko, O. V. Eremenko, Yu. V. Tretyakova

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Research review of federated learning algorithms by Jianzong WANG, Lingwei KONG, Zhangcheng HUANG, Linjie CHEN, Yi LIU, Anxun HE, Jing XIAO

“…In recent years,federated learning has been proposed and received widespread attention to overcome data isolated island challenge.Federated learning related researches were adopted in areas such as financial field,healthcare domain and smart city related application.Federated learning concept was introduced into three different layers.The first layer introduced the definition,architecture,classification of federated learning and compared the federated learning with traditional distributed learning.The second layer presented comparison and analysis of federated learning algorithms from machine learning and deep learning aspects.The third layer separated federated learning optimization algorithms into three aspects to optimize federated learning algorithm through reducing communication cost,selecting proper clients and different aggregation method.Finally,the current research status and three main challenges on communication,heterogeneity of system and data to be solved were concluded,and the future prospects in federated learning domain were proposed.…”
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MODERN ALGORITHMS OF MICROBIOLOGICAL DIAGNOSTICS OF TUBERCULOSIS by Elina V. Sevastyanova, Larisa N. Chernousova

“…The article presents the comparative analysis of the microbiological diagnostics algorithm, developed and used in Central Tuberculosis Research Institute and the algorithm of laboratory diagnostics and monitoring of treatment of pulmonary tuberculosis and drug resistant tuberculosis based on modern rapid molecular techniques, developed by the experts of European Laboratory Initiatives jointly with Secretariat of Regional Office for Europe of World Health Organisation (WHO) for countries of the WHO European Region.It has been proved that despite some differences in these algorithms, the main principles on which they are based and approaches to diagnostics are similar. …”
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Truck Fudeau: Algorithms, Conspiracy and Radicalization by Michael Hoechsmann, Miranda McKee

“… COVID-19 public health mandates used in Canada and elsewhere proved to be potent measures for radicalizing new groups to right-wing ideas and gatherings, as well as for broadly main-streaming anti-government and anti-media rhetoric. …”
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Solving the 3D Multi-Objective Dynamic AUV Path Planning Problem Based on the Improved Morphin-Altruistic NSGAII Algorithm by Man Zhang, Jianhong Chen, Haibin Ouyang, Shangbin Long, Steven Li, Chunliang Zhang, Weiping Ding, Essam H. Houssein

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Algorithm for analyzing randomness in point patterns by Tony Sampaio, Jorge Rocha, Cláudia M. Viana, Silvana Camboin, Fábio Marcelo Breunig, Edenilson Nascimento, Elaine de Cacia de Lima Frick

“…We implemented this algorithm in Python as a QGIS script with two main steps: the first handles overlay operations and preliminary calculations for the chi-square goodness-of-fit test with and without Bonferroni correction in the second step. • A detailed step-by-step procedure for analyzing randomness in point patterns in a processing toolbox Python script for integration into the open-source software QGIS. • Automated scripts for structuring data, calculating expected and observed values, and applying the chi-square goodness-of-fit test for statistical analysis. • Advanced spatial analysis using chi-square goodness of fit coupled with and without Bonferroni correction, providing deeper insight into the study of the effect of spatial phenomena on the distribution of point events.…”
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Algorithmic Anthropomorphizing, Platform Gossip, and Backlashes: Aspirational Content Creators’ Narratives About YouTube’s Algorithm on Reddit by John R. Gallagher, Antonia Pecoraro Hernandez

“…The analysis reveals four main themes: mythologizing and anthropomorphism, demystification of the algorithm, platform gossip, and community backlash. …”
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Architecture and implementation of ulrb algorithm in R by Francisco Pascoal, Rodrigo Costa, Luís Torgo, Catarina Magalhães, Paula Branco

“…To solve this problem, we have proposed the utilization of unsupervised machine learning, through the ulrb (“Unsupervised Learning Definition of the Microbial Rare Biosphere”) algorithm, implemented as an R package (v0.1.8). This algorithm applies the partition around medoids (pam) algorithm to cluster taxa based on their abundance, in a community, for any number of samples. …”
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FCC algorithm for power loss diminution by Kanagasabai L.

“…A preliminary solution of the problem is produced, and the initialization of the teams depends on the team’s formation with substitute tactics. Mainly fitness function for each solution is computed, and it plays an imperative role in the process of the algorithm. …”
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