Tabu Search Algorithm for Optimization of Blood Distribution Routes by Agus Mulyadi, St. Nova Meirizha, Ari Andriyas, Irsan Pratama

“…The solution for blood distribution is solved using a programming language through MATLAB software based on the Tabu Search algorithm. …”
Get full text

Justification and selection of a method for restricting water inflow to horizontal wells in low-permeability terrigenous reservoir conditions using the example of the YuS2 formatio... by Olga V. Savenok, Nailya Kh. Zharikova, Elizaveta P. Chuykova, Alexander E. Verisokin, Mahmoud Hadid, Larisa V. Povarova, Denis S. Kalashnikov, Anna S. Domanova

“…The authors developed the methodology for selecting candidate wells for waterproofing work, implemented in the form of a computer program written in the Python programming language. …”
Get full text

Recreational and rehabilitation aspects of psychological health and well-being of students: a systematic review by Lesia Korobeinikova, Tetiana Yermakova, Georgiy Korobeynikov, Daniil Vitenko

“…The extracted documents were processed using the PYCharm Community Edition (CE) development environment and special codes in the Python programming language. The K-means method was used for clustering the articles based on the presence of keywords. …”
Get full text

Role of Serum and Ultrasonometric Markers in the Early Diagnosis of Malignant Transformation of Periductal Liver Fibrosis in Patients with <i>Opisthorchis Felineus</i> Infection by A. Е. Kovshirina, O. S. Fedorova, Yu. V. Kovshirina, V. A. Petrov

“…Statistical analysis was performed using the R programming language (version 3.6.1).Results. Evaluation of the relationship between the presence of ultrasound signs of stage 1–2 opisthorchiasis-associated periductal fibrosis and changes in serum levels of the biochemical, immunologic parameters and oncomarkers in patients with O. felineus infection demonstrated that the levels of alkaline phosphatase, conjugated bilirubin, AST, glucose and CA 19-9 oncomarker were significantly higher in the serum of patients in the group with cholangio-carcinoma and opisthorchiasis (p &lt; 0.01).Conclusion. …”
Get full text

Design of a Mobile Application for Disaster Management and Examination of the Suitability of Emergency Meeting Areas with GIS: The Case of Konya Province by Büşra Kart, Ceren Yağcı, Büşra Gözgörer, Efsun Avcı, Fatih İşcan

“…In this study, an Earthquake Information System Mobile Application was designed using Flutter programming language on Android Studio software and distribution of emergency meeting areas of Konya province over the city was investigated using GIS. …”
Get full text

A Fast Parallel Processing Algorithm for Triangle Collision Detection Based on AABB and Octree Space Slicing in Unity3D by Kunthroza Hor, Nak-Jun Sung, Jun Ma, Min-Hyung Choi, Min Hong

“…This approach is also designed to implement computation with GPU which utilizes the high-level shader language (HLSL) programming language on the compute shader Unity3D. AABB is structured as the maximum and minimum hexahedron enclosing an object that is parallel to the coordinate axis. …”
Get full text

DEVELOPING A CELIOTM PROGRAMMING LEARNING TOOL TO FACILIATE TEACHING AND LEARNING DATA STRUCTURE CONCEPTS IN C++ FOR NOVICE PROGRAMMERS by Adam B. Mtaho, Masoud M. Masoud, Leonard J. Mselle

“…The resulting tool is a CeliotM programming learning tool that visualizes and compiles data structure objects such as queues, stacks, and linked lists in C++ programming language. Empirical results on the evaluation of using CeliotM in teaching data structures and algorithmic concepts reveal that using such tool enhanced students’ programming comprehension and offered a more appealing learning experience for novice programmers. …”
Get full text

A software module to assess the metabolic potential of mutant strains of the bacterium <i>Corynebacterium glutamicum</i> by F. V. Kazantsev, M. F. Trofimova, T. M. Khlebodarova, Yu. G. Matushkin, S. A. Lashin

“…The tool is based on libraries from the opencobra community (https://opencobra.github.io) within the Python programming language (https://www.python.org), using the Pandas (https://pandas.pydata.org) and Escher (https://escher.readthedocs.io) libraries . …”
Get full text

Bibliometric analysis of holographic data storage literature by K. Kumar, R. Parameswaran

“…After exporting 1052 data sources, HistCite software was used to analyze the citations; visualization mapping was carried out using VOSviewer software and R programming language for the analysis of the authorcountry-title association on Holographic Storage Devices.Results. …”
Get full text

Topology Optimization of the Network with Renewable Energy Sources Generation Based on a Modified Adapted Genetic Algorithm by A. M. Bramm, A. I. Khalyasmaa, S. A. Eroshenko, P. V. Matrenin, N. A. Papkova, D. A. Sekatski

“…The simulation of the modes of electric power systems was performed using the Pandapower library for the Python programming language, which is in the public domain. Three types of electric load of consumers were considered, reflecting the natures of electricity consumption in the nodes of real electric power systems, the results of numerical studies were presented. …”
Get full text

Identifying impact factors on the communications and telecommunications sector using ensemble machine learning methods by Badykova Idelia, Biktimirova Kamilla

“…Using the Python programming language, the following models were built: linear regression, Ridge, Bagging, RandomForestRegressor, GradientBoostingRegressor and XGBRegressor. …”
Get full text

mRNA-lncRNA gene expression signature in HPV-associated neoplasia and cervical cancer by E. D. Kulaeva, E. S. Muzlaeva, E. V. Mashkina

“…Batch effect correction, identification of differentially expressed genes, and gene set enrichment analysis (GSEA) were performed using R programming language packages. Subcellular localization of lncRNA was analyzed  using Locate-R and iLoc-LncRNA 2.0 web services. 1,572 differentially expressed genes (DEGs) were recorded in the “cancer vs. control” comparison, and 1,260 DEGs were recorded in the “cancer vs. neoplasia” comparison. …”
Get full text

A case study in statistical software development for advanced evidence synthesis: the combined value of analysts and research software engineers by Naomi Bradbury, Tom Morris, Clareece Nevill, Janion Nevill, Ryan Field, Suzanne Freeman, Nicola Cooper, Alex Sutton

“…This has been achieved in the R programming language by combining existing R packages that conduct meta-analysis with the shiny web-application package. …”
Get full text

Evaluation of Immune Characteristics and Factors Associated with Immune Response following Hepatitis B Vaccination among Ghanaian Adolescents by Samuel Asamoah Sakyi, Joseph Badu Gyapong, Ebenezer Krampah Aidoo, Alfred Effah, Simon Koffie, Oscar Simon Olympio Mensah, Isaac Arddey, Godwin Boakye, Stephen Opoku, Benjamin Amoani, Robert Amadu Ngala

“…Statistical analyses were done using SPSS version 26.0 and R programming language, p<0.05 was considered statistically significant. …”
Get full text

Evaluation of the Sustainability Messages of the Companies with the Highest BIST Sustainability Index on X (Twitter) Platform by Vildan Gülpınar Demirci, Başak Buluz Kömeçoğlu

“…X platform data was obtained with the Python programming language, twint library. The correlation test was carried out using the SPSS package program with the Spearman Correlation test. …”
Get full text

Penerapan Algoritma Support Vector Machine pada Analisis Sentimen Terhadap Identitas Kependudukan Digital by Rita Ajeng Lestari, Adhitia Erfina, Wisuda Jatmiko

“…Python is the programming language chosen to collect and process research data. …”
Get full text

Medication burden in patients with dialysis-dependent CKD: a systematic review by Xuemei Liu, Ping Chen, Yun Liu, Xiaoyan Jia, Dongmei Xu

“…Data extraction and combining from multiple groups of number (n), mean, and standard deviation (SD) were performed using R programming language (version4.3.1; R Core Team, Vienna, Austria). …”
Get full text

Why and how should we simulate platform trials? Learnings from EU-PEARL by Elias Laurin Meyer, Tobias Mielke, Marta Bofill Roig, Michaela Maria Freitag, Peter Jacko, Pavla Krotka, Peter Mesenbrink, Tom Parke, Sonja Zehetmayer, Dario Zocholl, Franz König

“…We addressed the functionality limitations of existing software as well as the unavailability of the coding therein by developing a suite of open-source software to use in simulating platform trials based on the R programming language. To give some examples, the newly developed software supports simulating staggered entry of treatments throughout the trial, choosing different options for control data sharing, specifying different platform stopping rules and platform-level operating characteristics. …”
Get full text

Digital twin-based modeling of natural gas leakage and dispersion in urban utility tunnels [version 2; peer review: 2 approved] by Jiansong Wu, Jitao Cai, Ziqi Han, Yanzhu Hu, Ming Fu, Yuefei Li, Xin Wang, Xiaofu Zou

“…Specifically, we develop a high-performance LBM-based gas concentration prediction model using the parallel programming language Taichi Lang. Based on this model, real-time integration of gas sensor data from utility tunnels is achieved through the DA algorithm. …”
Get full text

Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform? by Godsway Edem Kpene, Sylvester Yao Lokpo, Sandra A. Darfour-Oduro

“…Data extracted included mortality outcome (dead or alive), sociodemographic characteristics (age, sex, marital status, educational level, occupation and location), family history of diseases (diabetes, cardiovascular disease (CVD), or asthma), lifestyle (smoking and alcohol intake), comorbidities (such as skin infections, sickle cell disease, urinary tract infections, and pneumonia) and complications of diabetes (CVD, nephropathy, neuropathy, foot ulcers, and diabetic ketoacidosis) were analyzed using Stata version 16.0 and Python 3.6.1 programming language. Both descriptive and inferential statistics were done to describe and build predictive models respectively. …”
Get full text