Information Support of Methods for Rationing Stocks Based on the Platform of the CIS "1C: Enterprise" by E. V. Ankuda

“…The scientific novelty lies in the emphasis in the development of methodological support on two possible cases: the presence and absence of standard automation tools for inventory management in CIS "1C: Enterprise", and the proposal by the author of the study of a specific methodology for the second case. …”
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The Impact of Change Management in Organizations – a Survey of Methods and Techniques for a Successful Change by Marian NĂSTASE, Marius GIUCLEA, Oliviana BOLD

“…The second level is more complex, aims the practice and is represented by a case study conducted in several business organizations. …”
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Extending the Reach of the Common Cause Design Using Meta-Analytic Methods: Applications and Issues by Christopher G. Thompson, William H. Yeaton, Gertrudes Velasquez, Kitchka Petrova, Betsy J. Becker

“…Most meta-analytic methods examine effects across a collection of primary studies. …”
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Coherence and transparency: some advice for qualitative researchers by Crispin Coombs

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Managing the intangible with ATLAS.ti©. Methods and tools for archaeological research of sensory conTexts by Serena D'Amico

“…The purposes of this paper are many: first of all, it is intended to present the ATLAS.ti software, which is widely used in sociology but almost unknown among archaeologists; its effectiveness is then demonstrated by dealing with its application on a specific case study of cognitive archaeology; finally, it offers a contribution to the debate on the development of digital tools and technologies that are increasingly suitable for answering archaeological questions, especially those related to the semantic understanding of space, which often escape the materiality of data.…”
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Evaluation of several digestion methods in the extraction of heavy elements from different organic sources by Parisa Mashayekhi, Hosein Sharifi

“…In general, in the case of heavy metals, Cd, Pb and Cr, nitric acid + perchloric acid and then dry digestion method, had the best efficiency in extracting these elements. …”
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Fact-Checkers on the Fringe: Investigating Methods and Practices Associated With Contested Areas of Fact-Checking by Silvia Montaña-Niño, Victoria Vziatysheva, Ehsan Dehghan, Anand Badola, Guangnan Zhu, Otávio Vinhas, Michelle Riedlinger, Sofya Glazunova

“…This study investigates the methods and practices used by self-identified fact-checkers situated on the fringe of the field of fact-checking to support their agenda for public recognition and legitimacy. …”
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Research on optimal selection of runoff prediction models based on coupled machine learning methods by Xing Wei, Mengen Chen, Yulin Zhou, Jianhua Zou, Libo Ran, Ruibo Shi

“…Abstract Runoff fluctuations under the influence of climate change and human activities present a significant challenge and valuable application in constructing high-accuracy runoff prediction models. This study aims to address this challenge by taking the Wanzhou station in the Three Gorges Reservoir area as a case study to optimize various prediction models. …”
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Asphalt Pavement Compaction Control: Relevance of Laboratory and Non-Destructive Testing Methods of Density by Andrius Baltrušaitis, Audrius Vaitkus, Jurgita Židanavičiūtė

“…Currently, when GPR methods are used to determine the density, calibration cores are used in all cases to estimate the unknown or unmeasured variables or conditions that may affect the results of dielectric value measurements. …”
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Discriminating and classifying odontocete echolocation clicks in the Hawaiian Islands using machine learning methods. by Morgan A Ziegenhorn, Kaitlin E Frasier, John A Hildebrand, Erin M Oleson, Robin W Baird, Sean M Wiggins, Simone Baumann-Pickering

“…However, due to the size of this dataset and the complexity of species-level acoustic classification, multi-year, multi-species analyses had not yet been completed. This study shows how a machine learning toolkit can effectively mitigate this problem by detecting and classifying echolocation clicks using a combination of unsupervised clustering methods and human-mediated analyses. …”
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A comparison of two approaches to implementing propensity score methods following multiple imputation by Bas BL Penning de Vries, Rolf HH Groenwold

“…Methods. We studied two approaches to implementing propensity score methods following multiple imputation, both of which have been used in applied research, and compared their performance by way of Monte Carlo simulation for a continuous outcome and partially unobserved covariate, treatment or outcome data. …”
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Prediction of reduced sound wave intensity in floor systems using machine learning methods by Hamid Mohammadnezhad, Fardin Jafari, Nahad Sedighi

“…The required data for machine learning methods were obtained by simulation of different floor systems with varying material and thickness in the INSUL software. …”
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ESTIMATION OF SATELLITE ALTIMETER ECHO-SIGNAL PARAMETERS BY STATISTICAL FITTING METHODS IN THE COURSE OF RETRACKING by D. S. Borovitsky, A. E. Zhesterev, V. P. Ipatov, R. M. Mamchur

“…The goal of this work is to study altimeter parameter estimators in the course of the satellite altimeter data retracking by ground-based complex. …”
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Minimally-invasive and non-invasive methods of thermal destruction in the treatment of patients with aggressive fibromatosis by L. I. Moskvicheva

“…The purpose of the study was to characterize various methods of local physical destruction used in the treatment of patients with aggressive fibromatosis and demonstrate international experience of their use.Material and Methods. literature search was conducted in the electronic databases Rsci (Russian science citation index) and NcBi (National centre for Biotechnology information) in the interval time between 2002 and 2022. …”
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Minimum Viable Model (MVM) Methodology for Integration of Agile Methods into Operational Simulation of Logistics by Zichong Lyu, Dirk Pons, Yilei Zhang, Zuzhen Ji

“…The method was validated by a case study of freight operations, and the results were encouraging. …”
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Physics-Informed Neural Networks and Fourier Methods for the Generalized Korteweg–de Vries Equation by Rubén Darío Ortiz Ortiz, Ana Magnolia Marín Ramírez, Miguel Ángel Ortiz Marín

“…We conducted a comprehensive comparative study of numerical solvers for the generalized Korteweg–de Vries (gKdV) equation, focusing on classical Fourier-based Crank–Nicolson methods and physics-informed neural networks (PINNs). …”
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Limits of Flow-Cytometry Histogram Analysis Methods to Assess Bladder Tumour Antigen Expression by Agnès Chabanas, Jean‐Jacques Rambeaud, Hong-Hsu Huo, Daniel Seigneurin, Jean-Jacques Lawrence

“…The HSD method appeared to be a more reliable method for background estimation; however, in the case of very low antigen expression, where specific fluorescence histograms could hardly be distinguished from that of the background, fluorescence microscopy remained the only valid method, since it allowed the distinction between specific and non‐specific fluorescence on the basis of structural differences between the two.…”
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Rethinking digital and AI inclusion: participatory and intersectionality-informed methods for disability and migrant justice by Karen Soldatic, Mikyung Lee, Eunice Tunggal, Ashley Liao, Liam Magee

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Kano-DEMATEL-TRIZ-based Product Design for Nail Tables and Chairs: A Two-Category User Study by Yihui Yan, Yu Liang, Huiyuan Guan

“…Using the design of nail tables and chairs as a case study, the paper empirically demonstrates how to balance the operational efficiency of nail technicians with the customer experience. …”
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Decision based algorithm for circular pythagorean fuzzy framework and advanced petroleum exploration methods by Maria Nazir, Zeeshan Ali, Abrar Hussain, Kifayat Ullah, Oumaima Saidani

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