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Journal articles on the topic 'Computational and analytical research'

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1

Hessley, Rita, Daniel L. Morris Jr., and Michael R. R. Mueller. "Integrated Applications of Electronic Structure Computations in the Undergraduate Chemistry Curriculum." JUCS - Journal of Universal Computer Science 6, no. (3) (2000): 345–55. https://doi.org/10.3217/jucs-006-03-0345.

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This paper describes the integrated use of electronic structure computations in the undergraduate chemistry curriculum including organic, physical, and analytical chemistry courses. This computational tool is used to enhance student learning and understanding of chemical principles along with exposing students to a modern research tool in chemistry. The electronic structure computations are used for homework, classroom activities (including examinations), and laboratory experiments (both computational and wet-lab). Some examples of these uses of electronic structure computations in organic, an
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Gutmann, Ethan, Idar Barstad, Martyn Clark, Jeffrey Arnold, and Roy Rasmussen. "The Intermediate Complexity Atmospheric Research Model (ICAR)." Journal of Hydrometeorology 17, no. 3 (2016): 957–73. http://dx.doi.org/10.1175/jhm-d-15-0155.1.

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Abstract With limited computational resources, there is a need for computationally frugal models. This is particularly the case for atmospheric sciences, which have long relied on either simplistic analytical solutions or computationally expensive numerical models. The simpler solutions are inadequate for many problems, while the cost of numerical models makes their use impossible for many problems, most notably high-resolution climate downscaling applications spanning large areas, long time periods, and many global climate projections. Here the Intermediate Complexity Atmospheric Research mod
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Throapologius, Anne. "Quantum computing in anthropological research: An interdisciplinary approach." Information System and Smart City 4, no. 1 (2024): 1383. http://dx.doi.org/10.59400/issc.v4i1.1383.

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This paper investigates the application of quantum computing in anthropological research. By leveraging quantum algorithms and computational capabilities, we propose innovative methodologies for analyzing complex cultural datasets, modeling social interactions, and reconstructing historical evolutionary patterns. The integration of quantum computing into anthropology has the potential to revolutionize the field by providing unprecedented computational efficiency and novel analytical tools.
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Mendrofa, Netti Kariani. "Computational Thinking Skills in 21st Century Mathematics Learning." JIIP - Jurnal Ilmiah Ilmu Pendidikan 7, no. 1 (2024): 792–801. http://dx.doi.org/10.54371/jiip.v7i1.3780.

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Computational thinking skills are a crucial mental skill in the 21st century, enabling individuals to solve problems, understand data, and make decisions with a structured and computational-based approach. Integrating computational thinking skills in mathematics learning has an important role in preparing students to become skilled in thinking computationally in the 21st century. The method used in this research is library research in which relevant data are collected from sources such as books, dictionaries, journals, magazines, and others without the need to conduct direct investigations in
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Cieplak, Tomasz, Tomasz Rymarczyk, and Grzegorz Kłosowski. "USING MICROSERVICES ARCHITECTURE AS ANALYTICAL SYSTEM FOR ELECTRICAL IMPEDANCE TOMOGRAPHY IMAGING." Informatics Control Measurement in Economy and Environment Protection 8, no. 1 (2018): 52–55. http://dx.doi.org/10.5604/01.3001.0010.8652.

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An image reconstruction with use of EIT method has been found useful in many areas of medical, industrial and environmental applications. Papers show that computational systems used for image reconstructions are utilizing parallel and distributed computations and multi-tier architecture, as well as monolithic architecture. The aim of our research is to define an analytical system architecture that will be able to combine a variety of image reconstruction algorithms with their representations in different programming languages. Based on examples described in different proceedings and research p
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Sharma, Nitesh Kumar, Ram Ayyala, Dhrithi Deshpande, et al. "Analytical code sharing practices in biomedical research." PeerJ Computer Science 10 (June 28, 2024): e2066. http://dx.doi.org/10.7717/peerj-cs.2066.

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Data-driven computational analysis is becoming increasingly important in biomedical research, as the amount of data being generated continues to grow. However, the lack of practices of sharing research outputs, such as data, source code and methods, affects transparency and reproducibility of studies, which are critical to the advancement of science. Many published studies are not reproducible due to insufficient documentation, code, and data being shared. We conducted a comprehensive analysis of 453 manuscripts published between 2016–2021 and found that 50.1% of them fail to share the analyti
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Stančić, Hrvoje. "Computational Archival Science." Moderna arhivistika 1, no. 2 (2018): 323–30. http://dx.doi.org/10.54356/ma/2018/iyln2017.

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The digitisation of archival materials and ingest of digitally born materials in digital archives has led to the possibilities of application of the big data analytical principles in the digital archives. The author explains the 5V characteristics of big data. He proceeds to define the concept of Computational Archival Science (CAS). Two CAS examples are given in order to illustrate the type of research that can be conducted in that area. Further, the author explains the prerequisites for engaging with CAS. Finally, suggestions on how archival institutions might get involved in CAS activities
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Khenner, E. K. "Computational thinking in the context of higher education: Analytical review." Education and science journal 26, no. 2 (2024): 35–59. http://dx.doi.org/10.17853/1994-5639-2024-2-35-59.

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Introduction. Computational thinking is one of the categories that currently assess the quality of people’s preparedness for life, educational and professional activities in the modern world, saturated with information technologies and digital tools. Many issues related to university students’ computational thinking remain insufficiently studied as applied to general education.Aim. The present research aims to discuss the essence of the concept of “computational thinking” and, mainly, the composition of its structural elements, methods of their formation and assessment at the level of higher e
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Sosa Henríquez, Carlos, and Martynas Lendraitis. "Research of Large Inflow Angles BEMT-Based Analytical–Numerical Performance Evaluation Model." Foundations 4, no. 4 (2024): 646–57. http://dx.doi.org/10.3390/foundations4040040.

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This paper presents a comprehensive analytical–numerical algorithm constructed for proprotor performance evaluation, focusing on accommodating large inflow angles. The algorithm’s design, range, and analytical features are clarified, indicating its potential to improve performance analysis, particularly for blades with substantial pitch variations. The Stahlhut model has not been validated against the conventional BEMT small-inflow angle methodology. This paper implements a modified Stahlhut model, coupled with the conventional BEMT. Preliminary validations of the model demonstrate promising r
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Boljanović, Slobodanka, and Andrea Carpinteri. "Computational Failure Analysis under Overloading." Metals 11, no. 10 (2021): 1509. http://dx.doi.org/10.3390/met11101509.

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The aim of this research work is to shed more light on performance-based design through a computational framework that assesses the residual strength of damaged plate-type configurations under overloading. Novel expressions are generated to analyze the power of crack-like stress raisers coupled with retardation effects. Analytical outcomes show that careful consideration of the overload location and crack size can be quite effective in improving safety design and failure mode estimation.
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Attallah, Nour A., Jeffery S. Horsburgh, Arle S. Beckwith, and Robb J. Tracy. "Residential Water Meters as Edge Computing Nodes: Disaggregating End Uses and Creating Actionable Information at the Edge." Sensors 21, no. 16 (2021): 5310. http://dx.doi.org/10.3390/s21165310.

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We present a new, open source, computationally capable datalogger for collecting and analyzing high temporal resolution residential water use data. Using this device, execution of water end use disaggregation algorithms or other data analytics can be performed directly on existing, analog residential water meters without disrupting their operation, effectively transforming existing water meters into smart, edge computing devices. Computation of water use summaries and classified water end use events directly on the meter minimizes data transmission requirements, reduces requirements for centra
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Hariana Gultom, Febrina, Saida Ulfa, and Henry Praherdiono. "THE INFLUENCE OF PROBLEM-BASED LEARNING MODELS - COMPUTATIONAL THINKING (PBL – CT) ON THE ABILITY TO THINKING ANALYTICAL VIEW OF STUDENTS' INTEREST IN THE SUBJECT OF NATURAL SCIENCES." International Journal of Education and Literature 1, no. 3 (2022): 21–27. http://dx.doi.org/10.55606/ijel.v1i3.37.

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This study aims to find out whether there is an influence of the Problem Based Learning-Computational Thinking (PBL-CT) model on analytical thinking skills in terms of students' interest in Natural Sciences subjects. This research was conducted at the Kalam Kudus Christian Middle School in Malang in the 2022/2023 academic year. The design used in this study was a non-equivalent group design quasi-experiment. Retrieval of data using ten essay questions which are made according to indicators of analytical thinking ability and students' interest in science is measured by using a questionnaire. Da
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Wu, Hao, Jing Li, and Haibo Yang. "Research Methods for Transient Stability Analysis of Power Systems under Large Disturbances." Energies 17, no. 17 (2024): 4330. http://dx.doi.org/10.3390/en17174330.

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Transient stability analysis is critical for maintaining the reliability and security of power systems. This paper provides a comprehensive review of research methods for transient stability analysis under large disturbances, detailing the modeling concepts and implementation approaches. The research methods for large disturbance transient stability analysis are categorized into five main types: simulation methods, direct methods, data-driven methods, analytical methods, and other methods. Within the analytical method category, several common analytical strategies are introduced, including the
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Miyaqi, Iqlides Ahmad, Supardi, and Najilul Barokah. "Computational Analysis of Free Fall Motion with Air Friction Constraints." Impulse: Journal of Research and Innovation in Physics Education 3, no. 1 (2024): 39–52. http://dx.doi.org/10.14421/impulse.2023.31-05.

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Free fall motion without initial velocity is a mechanical concept that can be analyzed using analytical, experimental, and computational methods. Free fall motion is difficult to analyze analytically if air friction is not neglected. The aim of this research is to explain computational free fall motion analysis procedures with air friction. Air friction disturbance in free fall motion is represented by the coefficient C which states the drag coefficient is time dependent. In this scientific study, the application used for computational analysis is IDE Spyder with various library support. With
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Nelson, Jake R., and Tony H. Grubesic. "Oil spill modeling: computational tools, analytical frameworks, and emerging technologies." Progress in Physical Geography: Earth and Environment 43, no. 1 (2018): 129–43. http://dx.doi.org/10.1177/0309133318804977.

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Following the Deepwater Horizon oil spill of 2010, a substantial body of research has focused on the development of computational tools and analytical frameworks for modeling oil spill events. Much of this work is dedicated to deepening our understanding of the interactions between oil, fragile ecosystems, and the environment, as well as the impacts of oil on human settlements which are vulnerable to spill events. These advances in oil spill modeling and associated analytics have not only increased the efficiency of spill interdiction and mitigation efforts, they have also helped to nurture pr
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16

Ratnasingham, Sujeevan. "mBRAVE: The Multiplex Barcode Research And Visualization Environment." Biodiversity Information Science and Standards 3 (July 10, 2019): e37986. https://doi.org/10.3897/biss.3.37986.

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Widespread interest in the study of metabarcoding has resulted in data proliferation and the development of a multitude of powerful computational tools. Yet consistent and reproducible interpretation of the data remains challenging. The integration of different data types, software tools, and analytical parameters pose a barrier to scaling research. Further, though the majority of the necessary tools for performing these analyses are already implemented, there is limited support for high throughput analysis due to the requirement for heavy computational capacity. As a result of these complexit
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17

Echave, Julian. "Fast computational mutation-response scanning of proteins." PeerJ 9 (April 21, 2021): e11330. http://dx.doi.org/10.7717/peerj.11330.

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Studying the effect of perturbations on protein structure is a basic approach in protein research. Important problems, such as predicting pathological mutations and understanding patterns of structural evolution, have been addressed by computational simulations that model mutations using forces and predict the resulting deformations. In single mutation-response scanning simulations, a sensitivity matrix is obtained by averaging deformations over point mutations. In double mutation-response scanning simulations, a compensation matrix is obtained by minimizing deformations over pairs of mutation
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18

Xiong, Guo Xin, and Hong Ying Zhao. "Computational Research of Internal Temperature Distribution for Liver Tissues under Laser Irradiation." Applied Mechanics and Materials 340 (July 2013): 887–91. http://dx.doi.org/10.4028/www.scientific.net/amm.340.887.

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To study the effect of blood perfusion rate and air convection boundary condition upon heat transfer of liver tissues by establishing heat conduction model of liver tissues under laser irradiation.The analytical solution of the model was solved by homogenizing boundary condition and the numerical solution of the bio-heat transfer model under the two-dimensional cylindrical coordinate was calculated by the Finite Element Method (FEM).The results show that the highest temperature irradiated by laser is on the center point of the surface tissue, and decreases in the radial and axial direction, th
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19

Fan, Jean, Kamil Slowikowski, and Fan Zhang. "Single-cell transcriptomics in cancer: computational challenges and opportunities." Experimental & Molecular Medicine 52, no. 9 (2020): 1452–65. http://dx.doi.org/10.1038/s12276-020-0422-0.

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Abstract Intratumor heterogeneity is a common characteristic across diverse cancer types and presents challenges to current standards of treatment. Advancements in high-throughput sequencing and imaging technologies provide opportunities to identify and characterize these aspects of heterogeneity. Notably, transcriptomic profiling at a single-cell resolution enables quantitative measurements of the molecular activity that underlies the phenotypic diversity of cells within a tumor. Such high-dimensional data require computational analysis to extract relevant biological insights about the cell t
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20

Tomchuk, Olena. "ANALYTICAL PROVISION OF COMPUTATIONAL OPERATIONS AND DIRECTIONS FOR THEIR IMPROVEMENT." Green, Blue and Digital Economy Journal 4, no. 1 (2023): 82–98. http://dx.doi.org/10.30525/2661-5169/2023-1-8.

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The purpose of the article is the method of analysis of settlements with debtors and creditors and determination of directions for their improvement. Methodology. In the process of solving the tasks of scientific research, general and special methods of research were applied: descriptive-analytical method, systematic approach, method of analysis and synthesis, method of systematization, method of comparison, method of scientific generalization. Results. It has been proved that the anti-crisis management system should provide a proper approach to the enterprise's debts, for their effective mana
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21

Muthu, Sathish, Madhan Jeyaraman, and Girinivasan Chellamuthu. "Research data: basis of future research analytics." MOJ Public Health 10, no. 2 (2021): 35–38. http://dx.doi.org/10.15406/mojph.2021.10.00356.

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Living in an era of data explosion, there is an urgent need for making high-quality scholarly research data available for technologies like Artificial Intelligence(AI) to make something more out of it, other than publications. AI being portrayed as the sentience of machines, with more computational power and advances analytical methods has the potential to deliver personalised health care to individuals with greater probability. Although various data points such as electronic medical records, insurance company records, financial records, etc. can be used for such purposes research data remains
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22

Dolgopolovas, Vladimiras, Valentina Dagienė, Eglė Jasutė, and Tatjana Jevsikova. "Design Science Research for Computational Thinking in Constructionist Education: A Pragmatist Perspective." Problemos 95 (April 26, 2019): 144–59. http://dx.doi.org/10.15388/problemos.95.12.

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[full article, abstract in English; abstract in Lithuanian] The article examines the modern computer-based educational environment and the requirements of the possible cognitive interface that enables the learner’s cognitive grounding by incorporating abductive reasoning into the educational process. Although the main emphasis is on cognitive and physiological aspects, the practical tools for enabling computational thinking in a modern constructionist educational environment are discussed. The presented analytical material and developed solutions are aimed at education with computers. However,
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Morovat, Mohammed, Michael Engelhardt, Todd Helwig, and Eric Taleff. "High-Temperature Creep Buckling Phenomenon of Steel Columns Subjected to Fire." Journal of Structural Fire Engineering 5, no. 3 (2014): 189–202. http://dx.doi.org/10.1260/2040-2317.5.3.189.

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This paper presents highlights of on-going research, which aims at developing analytical, computational and experimental predictions of the phenomenon of creep buckling in steel columns subjected to fire. Analytical solutions using the concept of time-dependent tangent modulus are developed to model time-dependent buckling behavior of steel columns at elevated temperatures. Results from computational creep buckling studies using Abaqus are also presented, and compared with analytical predictions. Material creep data on ASTM A992M steel is also presented and compared to existing creep models fo
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Raja Gopal, Arul Nalmanan. "Comparative Study of Internal Flow Dynamics Using CFD For of Sudden Expansion Pipe." Journal of Advances in Fluid, Heat, and Materials Engineering 5, no. 1 (2025): 37–44. https://doi.org/10.37934/afhme.5.1.3744a.

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The flow through sudden expansion pipes is a fundamental fluid dynamics problem, characterized by flow separation, recirculation zones, and turbulence. This research investigates the behavior and dynamics of fluid flow in these geometries, emphasizing advancements in theoretical, experimental, and computational approaches. Critical phenomena, such as pressure drop, reattachment length, and turbulence intensity, are thoroughly analyzed. The study emphasizes the effects of Reynolds number and expansion ratio on flow characteristics, as well as the significance of turbulence models, grid resoluti
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Dolgopolovas, Vladimiras, Valentina Dagienė, Eglė Jasutė, and Tatjana Jevsikova. "Design Science Research for Computational Thinking in Constructionist Education: A Pragmatist Perspective." Problemos 95 (April 26, 2019): 144–59. http://dx.doi.org/10.15388/10.15388/problemos.95.12.

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[full article, abstract in English; abstract in Lithuanian]
 The article examines the modern computer-based educational environment and the requirements of the possible cognitive interface that enables the learner’s cognitive grounding by incorporating abductive reasoning into the educational process. Although the main emphasis is on cognitive and physiological aspects, the practical tools for enabling computational thinking in a modern constructionist educational environment are discussed. The presented analytical material and developed solutions are aimed at education with computers. Ho
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26

Grover, Shuchi, and Roy Pea. "Computational Thinking in K–12." Educational Researcher 42, no. 1 (2013): 38–43. http://dx.doi.org/10.3102/0013189x12463051.

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Jeannette Wing’s influential article on computational thinking 6 years ago argued for adding this new competency to every child’s analytical ability as a vital ingredient of science, technology, engineering, and mathematics (STEM) learning. What is computational thinking? Why did this article resonate with so many and serve as a rallying cry for educators, education researchers, and policy makers? How have they interpreted Wing’s definition, and what advances have been made since Wing’s article was published? This article frames the current state of discourse on computational thinking in K–12
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27

Trofimov, Egor, and Oleg Gennad'evich Metsker. "Methodology for qualitative assessment of optimization of legislation and law enforcement practice based on big data analysis of the cases on administrative offences." Право и политика, no. 10 (October 2020): 10–26. http://dx.doi.org/10.7256/2454-0706.2020.10.34250.

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The subject of this research is the interdisciplinary legal and computer research tools and methods. The authors substantiate the interdisciplinary (legal-computational) methodology for automated analysis and assessment of qualitative changes in legislation and law enforcement practice. Interim results of the research project that are of methodological nature and cover methodological paradigm, principles, means and methods of scientific research are provided. The formulated conclusions represent a summary of heuristic search and computational experiments carried out in the domain field of admi
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Little, Iris, and Ephraim Gutmark. "Fundamentals and Applications of Fluid Mechanics and Acoustics in Biomedical Engineering." Bioengineering 11, no. 11 (2024): 1125. http://dx.doi.org/10.3390/bioengineering11111125.

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29

Juan, Guillermo Torres Hurtado, Bustamante Roberto, and E. Caicedo Carlos. "A fast method to seek the mean and variance of the summation of lognormal variables." Revista Facultad de Ingeniería, Universidad de Antioquia, no. 105 (August 19, 2021): 37–46. https://doi.org/10.17533/udea.redin.20210846.

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  The sum of lognormal variables has been a topic of interest in several fields of research such as engineering, biology and finance, among others. For example, in the field of telecommunications, the aggregate interference of radio frequency signals is modeled as a sum of lognormal variables. To date, there is no closed expression for the probability distribution function (PDF) of this sum. Several authors have proposed approximations for this PDF, with which they calculate the mean and variance. However, each method has limitations in its range of parameters for mean, variance and numbe
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30

Efimov, V. V., V. A. Ivchin, and K. O. Chernigin. "Research of the crosswind effect on the single-rotor helicopter unintentional yaw rotation." Civil Aviation High Technologies 27, no. 4 (2024): 20–33. http://dx.doi.org/10.26467/2079-0619-2024-27-4-20-33.

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During the operation of single-rotor helicopters, aviation accidents quite frequently occur in the form of an unintentional turn or even a yaw rotation, causing, as a rule, a ground collision. Numerous researchers of this problem consider the loss of helicopter tail-rotor effectiveness due to wind effects as one of its possible causes. There is even a special term – the Loss of Tail Rotor Effectiveness (LTE) in the foreign literature. Hence, this paper deals with an attempt to determine the capacity of an unintentional single-rotor helicopter yaw rotation occurrence due to wind effects (the im
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Ivanov, Sergei, and Andrey Televnoy. "Numerical-analytical transformation method of analyzing nonlinear mathematical models with polynomial structure." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2022, no. 2 (2022): 97–109. http://dx.doi.org/10.24143/2072-9502-2022-2-97-109.

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The article considers a scientific problem of investigating mathematical models with polynomial nonlinearity, which are represented by systems of nonlinear differential equations. There is presented a numericall-analytical transformation method for investigating nonlinear dynamical systems with many degrees of freedom of polynomial structure. As opposed to the analogues, this method allows solving a wide range of problems for nonlinear systems 
 of general polynomial structure while reducing the computational resource intensity. An algorithm of the method 
 of transformations for inv
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Ерёменко, Виталий Сергеевич, Вера Викторовна Наумова, Алексей Андреевич Загуменнов, and Станислав Владимирович Булов. "Cloud technologies for development of geographically distributed computational and analytical Geological environment." Вычислительные технологии, no. 1(26) (April 2, 2021): 86–98. http://dx.doi.org/10.25743/ict.2021.26.1.007.

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Описываются подходы к организации единого рабочего пространства исследователя для обработки геологической информации. Предложены подходы по взаимодействию с внешними территориально распределенными сервисами обработки и анализа геологических данных на основе WPS-платформы и по организации интегральной платформы для доступа к интерактивным облачным сервисам обработки геологических данных. Приводятся примеры облачных сервисов и платформ и сравниваются их основные характеристики. Описывается программная реализация предложенных подходов в рамках разрабатываемой информационноаналитической системы Ge
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Li, Tongle. "Computational linguistic processing for evaluating policy effectiveness: textual analysis of China-Korea continuing education regulations." Future Technology 4, no. 2 (2025): 92–103. https://doi.org/10.55670/fpll.futech.4.2.9.

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This study employs computational linguistic methods to compare continuing education regulatory frameworks in Korea and China via systematic text comparison. Applying algorithmic methods like thematic decomposition, sentiment analysis, and semantic correlation measures to the government reports of the two countries, we develop an innovative cross-cultural assessment framework. The analytical process integrates entity extraction, vector-based semantic mapping, and quantitative content mining in order to identify regulatory patterns and efficacy signals within policy documents from 2010 to 2023.
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Khater, Mostafa, Abdel-Haleem Abdel-Aty, Ghada Alnemer, Mohammed Zakarya, and Dianchen Lu. "New optical explicit plethora of the resonant Schrodinger’s equation via two recent computational schemes." Thermal Science 24, Suppl. 1 (2020): 247–55. http://dx.doi.org/10.2298/tsci20247k.

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This research paper investigates the computational solutions of the resonant Schr?dinger?s equation. The modified Khater method and Adomian decomposition method are applyied for construct new analytical traveling and semi-analytical wave solutions. This model describes the pulse phenomena and studied in non-linear optics. For further illustration of our obtained solutions, some distinct types of sketches are given.
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Khater, Mostafa, Abdel-Haleem Abdel-Aty, Ghada Alnemer, Mohammed Zakarya, and Dianchen Lu. "New optical explicit plethora of the resonant Schrodinger’s equation via two recent computational schemes." Thermal Science 24, Suppl. 1 (2020): 247–55. http://dx.doi.org/10.2298/tsci20s1247k.

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This research paper investigates the computational solutions of the resonant Schr?dinger?s equation. The modified Khater method and Adomian decomposition method are applyied for construct new analytical traveling and semi-analytical wave solutions. This model describes the pulse phenomena and studied in non-linear optics. For further illustration of our obtained solutions, some distinct types of sketches are given.
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36

Portelli, Raechel A., and Paul Pope. "Sensing and Human Factors Research: A Review." Photogrammetric Engineering & Remote Sensing 88, no. 1 (2022): 55–64. http://dx.doi.org/10.14358/pers.21-00012r2.

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Human experts are integral to the success of computational earth observation. They perform various visual decision-making tasks, from selecting data and training machine-learning algorithms to interpreting accuracy and credibility. Research concerning the various human factors which affect performance has a long history within the fields of earth observation and the military. Shifts in the analytical environment from analog to digital workspaces necessitate continued research, focusing on human-in-the-loop processing. This article reviews the history of human-factors research within the field
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Abramson, Corey M., Jacqueline Joslyn, Katharine A. Rendle, Sarah B. Garrett, and Daniel Dohan. "The promises of computational ethnography: Improving transparency, replicability, and validity for realist approaches to ethnographic analysis." Ethnography 19, no. 2 (2017): 254–84. http://dx.doi.org/10.1177/1466138117725340.

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This article argues the advance of computational methods for analyzing, visualizing and disseminating social scientific data can provide substantial tools for ethnographers operating within the broadly realist ‘normal-scientific tradition’ (NST). While computation does not remove the fundamental challenges of method and measurement that are central to social research, new technologies provide resources for leveraging what NST researchers see as ethnography’s strengths (e.g. the production of in situ observations of people over time) while addressing what NST researchers see as ethnography’s we
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Repetskii, O. V. "Development of mathematical models, numerical methods, and software tools for analyzing the durability of radial turbomachinery with parameter mismatching." iPolytech Journal 29, no. 2 (2025): 194–203. https://doi.org/10.21285/1814-3520-2025-2-194-203.

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This study presents mathematical models and numerical-analytical methods for analysing static stresses, free/forced vibrations, and the durability of radial turbomachinery used in power and transportation systems. The research incorporates deliberate disturbances in geometric, mass, and mechanical parameters to evaluate their effects. The finite element method is used as the primary analytical tool, supported by the theories of elasticity and vibration, the mechanics of deformable solids, and gas dynamics. The methodology employs matrix computations and algebraic equation systems to predict th
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Eremenko, V. S., and V. V. Naumova. "The System of Cataloguing and Monitoring of Geographically Distributed Computing Nodes in WPS Services Environment for Geological Problems Solving." Vestnik NSU. Series: Information Technologies 17, no. 2 (2019): 39–48. http://dx.doi.org/10.25205/1818-7900-2019-17-2-39-48.

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The study describes an approach for heterogeneous web services cataloguing of geographically distributed computing nodes in the computational and analytical geological environment. The approach of creation of web services monitoring system is proposed. In this study the approach for web services catalogue organization based on SOAP (Simple Object Access Protocol) protocol, with use of UDDI (Universal Description Discovery and Integration) registries is reviewed. The scheme for heterogeneous web services description with an ability of further creation of catalogue is proposed. The catalogue inc
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Jassim, Khalid Jamal, Huda Abbas Kanbar, Manal Mohammad Ibrahim, and Suaad Hadi Hassan Al-Taai. "Academic Problems Among Iraqi University Professors: An Analytical Study." Journal of Ecohumanism 3, no. 6 (2024): 109–34. http://dx.doi.org/10.62754/joe.v3i6.3988.

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The research aims to detect the problems of educational reality faced by university professors and identify statistically significant differences in the academic problems of university instructors. It has adopted an analytical descriptive research approach to achieve research objectives and identifies the study community with professors of public and private universities. A random sample of 250 instructors was selected for the purpose of applying the questionnaire to them, knowing the academic problems encountered in the course of their work at universities, and adopting appropriate statistica
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Fecke, Antonia, Nay Min Min Thaw Saw, Dipali Kale, Siva Swapna Kasarla, Albert Sickmann, and Prasad Phapale. "Quantitative Analytical and Computational Workflow for Large-Scale Targeted Plasma Metabolomics." Metabolites 13, no. 7 (2023): 844. http://dx.doi.org/10.3390/metabo13070844.

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Quantifying metabolites from various biological samples is necessary for the clinical and biomedical translation of metabolomics research. One of the ongoing challenges in biomedical metabolomics studies is the large-scale quantification of targeted metabolites, mainly due to the complexity of biological sample matrices. Furthermore, in LC-MS analysis, the response of compounds is influenced by their physicochemical properties, chromatographic conditions, eluent composition, sample preparation, type of MS ionization source, and analyzer used. To facilitate large-scale metabolite quantification
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Abubakar, Adamu, Teddy Mantoro, Sardjoeni Moedjiono, et al. "A Support Vector Machine Classification of Computational Capabilities of 3D Map on Mobile Device for Navigation Aid." International Journal of Interactive Mobile Technologies (iJIM) 10, no. 3 (2016): 4. http://dx.doi.org/10.3991/ijim.v10i3.5056.

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3D map for mobile devices provide more realistic view of an environment and serves as better navigation aid. Previous research studies shows differences in 3D maps effect on acquiring of spatial knowledge. This is attributed to the differences in mobile device computational capabilities. Crucial to this, is the time it takes for 3D map dataset to be rendered for a required complete navigation task. Different findings suggest different approach on solving the problem of time require for both in-core (inside mobile) and out-core (remote) rendering of 3D dataset. Unfortunately, studies on analyti
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Gadanidis, George, Ricardo Scucuglia Rodrigues da Silva, Janette Hughes, Steven Floyd, and Immaculate Namukasa. "Computational Literacy & Mathematics Education." Revista Internacional de Pesquisa em Educação Matemática 12, no. 4 (2022): 1–23. http://dx.doi.org/10.37001/ripem.v12i4.3144.

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Computer programming has permeated many fields as a tool to model phenomena and processes and to make new discoveries. Curricula in many jurisdictions have been revised to use computer languages across K-12, and in some cases in mathematics education. The literature suggests that while digital media in mathematics education can be used as tools that serve our purposes, they also serve to reorganize knowledge. This paper investigates the interactions among computer programming and mathematics teaching and learning. Our data sources are a) Ontario curriculum documents, b) resources developed by
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Zhao, Dexu, Raghda A. M. Attia, Jian Tian, Samir A. Salama, Dianchen Lu, and Mostafa M. A. Khater. "Abundant accurate analytical and semi-analytical solutions of the positive Gardner–Kadomtsev–Petviashvili equation." Open Physics 20, no. 1 (2022): 30–39. http://dx.doi.org/10.1515/phys-2022-0001.

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Abstract This research article examines the correctness of two new analytical methods for solving the internal solitary waves of shallow seas. To get the computational solutions to the positive (2 + 1)-dimensional Gardner–Kadomtsev–Petviashvili model, the extended simplest equation and modified Kudryashov methods are used. Numerous new traveling wave solutions in various forms are developed in order to assess the starting conditions required for the variational iteration technique, one of the most accurate semi-analytical methods. The semi-analytical solutions are used to demonstrate the preci
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Bystrykh, Leonid. "Python for gene expression." F1000Research 10 (June 23, 2022): 870. http://dx.doi.org/10.12688/f1000research.53842.2.

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Genome biology shows substantial progress in its analytical and computational part in the last decades. Differential gene expression is one of many computationally intense areas; it is largely developed under R programming language. Here we explain possible reasons for such dominance of R in gene expression data. Next, we discuss the prospects for Python to become competitive in this area of research in coming years. We indicate that Python can be used already in a field of a single cell differential gene expression. We pinpoint still missing parts in Python and possibilities for improvement.
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Bystrykh, Leonid. "Python for gene expression." F1000Research 10 (August 31, 2021): 870. http://dx.doi.org/10.12688/f1000research.53842.1.

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Genome biology shows substantial progress in its analytical and computational part in the last decades. Differential gene expression is one of many computationally intense areas; it is largely developed under R programming language. Here we explain possible reasons for such dominance of R in gene expression data. Next, we discuss the prospects for Python to become competitive in this area of research in coming years. We indicate that Python can be used already in a field of a single cell differential gene expression. We pinpoint still missing parts in Python and possibilities for improvement.
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Abdukhamidov, Sardor, and Lobar Chorshanbiyeva. "SOLVING RESEARCH PROBLEMS OF FLOWS IN CHANNELS USING NUMERICAL METHODS." TECHNICAL SCIENCE RESEARCH IN UZBEKISTAN 2, no. 6 (2024): 142–45. https://doi.org/10.5281/zenodo.12548425.

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The study of fluid flow in channels is fundamental in various fields of engineering and environmental sciences. Traditional analytical methods often fall short in handling complex geometries and varying boundary conditions. Numerical methods have thus become indispensable in understanding and predicting fluid dynamics in channels. This paper explores the application of numerical methods in the study of flows in channels, focusing on the Finite Difference Method (FDM), Finite Element Method (FEM), and Computational Fluid Dynamics (CFD). Case studies and simulations are presented to illustrate t
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Madhamshettiwar, Piyush B., Stefan R. Maetschke, Melissa J. Davis, Antonio Reverter, and Mark A. Ragan. "INsPeCT: INtegrative Platform for Cancer Transcriptomics." Cancer Informatics 13 (January 2014): CIN.S13630. http://dx.doi.org/10.4137/cin.s13630.

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The emergence of transcriptomics, fuelled by high-throughput sequencing technologies, has changed the nature of cancer research and resulted in a massive accumulation of data. Computational analysis, integration, and data visualization are now major bottlenecks in cancer biology and translational research. Although many tools have been brought to bear on these problems, their use remains unnecessarily restricted to computational biologists, as many tools require scripting skills, data infrastructure, and powerful computational facilities. New user-friendly, integrative, and automated analytica
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Stojić, Boris, Nenad Poznanović, and Aleksandar Poznić. "Research and modeling of the tractor tire enveloping behavior." Journal of Vibration and Control 23, no. 2 (2016): 290–304. http://dx.doi.org/10.1177/1077546315576302.

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Vibration characteristics are one of the most important criteria to assess performances of agricultural tractors. Since vibration excitation primarily arise from short wavelength ground unevenness, tire enveloping behaviour plays significant role in determining effective excitation transmitted to the tractor and human operator. In order to be able to influence tractor vibration behaviour in early stage of computer simulation based development, appropriate tire model is needed that is able to account for this phenomenon, characterized at the same time by high computational speed. In this work,
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Attia, Raghda A. M., Dumitru Baleanu, Dianchen Lu, Mostafa M. A. Khater, and El-Sayed Ahmed. "Computational and numerical simulations for the deoxyribonucleic acid (DNA) model." Discrete & Continuous Dynamical Systems - S 14, no. 10 (2021): 3459. http://dx.doi.org/10.3934/dcdss.2021018.

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<p style='text-indent:20px;'>In this research paper, the modified Khater method, the Adomian decomposition method, and B-spline techniques (cubic, quintic, and septic) are applied to the deoxyribonucleic acid (DNA) model to get the analytical, semi-analytical, and numerical solutions. These solutions comprise much information about the dynamical behavior of the homogenous long elastic rods with a circular section. These rods constitute a pair of the polynucleotide rods of the DNA molecule which are plugged by an elastic diaphragm that demonstrates the hydrogen bond's role in this communi
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