Contamination of Norway Spruce (Picea abies (L.) H. Karst.) Needles with Heavy Metals under Conditions of Technogenic Emissions by Galina V. Kalko, Alexander E. Andreev

“…Data analysis has been performed using the Python 3.8 programming language. The comparison has been performed using nonparametric methods. …”
Get full text

Efficient diagnosis of diabetes mellitus using an improved ensemble method by Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Asif Mehmood, Habib Hamam

“…The dataset was split into two parts: training (70%), and testing (30%). Python was used for classification in Jupyter Notebook, and there were two design phases. …”
Get full text

TCGADownloadHelper: simplifying TCGA data extraction and preprocessing by Alexandra Anke Baumann, Alexandra Anke Baumann, Olaf Wolkenhauer, Olaf Wolkenhauer, Olaf Wolkenhauer, Markus Wolfien, Markus Wolfien

“…We developed a pipeline integrating customizable Python scripts in a Jupyter Notebook and a Snakemake pipeline for ID mapping along with automating data preprocessing tasks (https://github.com/alex-baumann-ur/TCGADownloadHelper). …”
Get full text

Analysis of the most influential factors affecting outcomes of lung transplant recipients: a multivariate prediction model based on UNOS Data by Reza Safdari, Marsa Gholamzadeh, Hamidreza Abtahi, Mehrnaz Asadi Gharabaghi

“…Next, the Shapley Additive Explanations (SHAP) technique was used to identify the most important features in the prediction.Results The raw dataset contains 196 270 records with 545 features in all organs. After preprocessing, 32 966 records with 15 features remain. …”
Get full text

An approach that utilizes blockchain to effectively and securely preserve data privacy for location data from IoT in smart cities by D. Rawal, J. Seedorf, B. Patil

“…Environmental surveillance, emergency response, and smart city planning all require the use of geospatial data, which includes satellite imagery, cartographic records, and real-time GPS coordinates. …”
Get full text

Developing a logistic regression model to predict spontaneous preterm birth from maternal socio-demographic and obstetric history at initial pregnancy registration by Brenda F. Narice, Mariam Labib, Mengxiao Wang, Victoria Byrne, Joanna Shepherd, Z. Q. Lang, Dilly OC Anumba

“…A three-fold cross-validation technique was applied with subsets for data training and testing in Python® (version 3.8) using the most predictive factors. …”
Get full text

Instrument Response of the Indonesian People's Accelerograph (ARI) Type I Based on MEMS Sensor MPU6050 by Rafi Syah Akram, Adji Satrio, Bayu Sutejo, Agustya Adi Martha, Handi Sulistyo Widodo, Hapsoro Agung Nugroho, Tio Azhar Prakoso, Nurul Hudayat

“…Field tests conducted at the UNILA site demonstrated that ARI Type I records ground acceleration on all three axes at a density of 50 signals per second. …”
Get full text

Analysing Quality Metrics and Automated Scoring of Code Reviews by Owen Sortwell, David Cutting, Christine McConnellogue

“…Several identified metrics are tested across these projects using Python’s Natural Language Toolkit, including stop word ratio, overall sentiment, and detection of code snippets through the GitHub markdown language. …”
Get full text

Removal of plaque biofilm by a 3D-printed precision pericoronal irrigator for impacted wisdom teeth: an in vitro study by WANG Xiaoting, HUANG Zhenxin

“…Furthermore, at 75 psi, the precision pericoronal flushing group achieved a significantly higher cleaning rate across all 4 levels of pericoronal soft tissue coverage than both the routine flushing and brushing groups (P<0.05). …”
Get full text

Combining Infrared Thermography with Computer Vision Towards Automatic Detection and Localization of Air Leaks by Ângela Semitela, João Silva, André F. Girão, Samuel Verdasca, Rita Futre, Nuno Lau, José P. Santos, António Completo

“…This system consists of (1) a leak tester for detection and quantification of leaks, (2) an infrared camera for real-time thermal image acquisition; and (3) an algorithm for automatic leak localization. The python-based algorithm acquires thermal frames from the camera’s streaming video, identifies potential leak regions by selecting a region of interest, mitigates environmental interferences via image processing, and pinpoints leaks by employing pixel intensity thresholding. …”
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. …”
Get full text

Developing an Intelligent Resume Screening Tool With AI‐Driven Analysis and Recommendation Features by K. L. Abhishek, M. Niranjanamurthy, Shonit Aric, Syed Immamul Ansarullah, Anurag Sinha, G. Tejani, Mohd Asif Shah

“…The tool will rapidly analyze all resume components while providing personalized predictions and recommendations to applicants for improving their CVs. …”
Get full text

LLM4TDG: test-driven generation of large language models based on enhanced constraint reasoning by Jingqiang Liu, Ruigang Liang, Xiaoxi Zhu, Yue Zhang, Yuling Liu, Qixu Liu

“…Employing LLM4TDG significantly improves the average pass@k metric of all LLMs by 10.41%. The pass@k metric for CodeQwen-chat has improved by up to 18.66%. …”
Get full text

iFLOW: A Framework and GUI to Quantify Effective Thermal Diffusivity and Advection in Permeable Materials From Temperature Time Series by A. Bertagnoli, C. Luce, R. vanKampen, U. Schneidewind, M. vanBerkel, A. W. Tranmer, G. Vandersteen, S. Krause, D. Tonina

“…Abstract iFLOW is a free, open‐source, and python‐based framework and graphical user interface to visualize and analyze temperature time series, and extract one dimensional thermal velocity, vT, and bulk effective thermal diffusivity, ke. …”
Get full text

PyMerger: Detecting Binary Black Hole Mergers from the Einstein Telescope Using Deep Learning by Wathela Alhassan, T. Bulik, M. Suchenek

“…We present PyMerger , a Python tool for detecting binary black hole (BBH) mergers from the Einstein Telescope (ET), based on a deep residual neural network (ResNet) model. …”
Get full text

Residual limb modelling for optimal shape and bandaging in transfemoral amputees by Sudesh Sivarasu, Bhaveen Lalla, Chibuike Mbanefo, Roopam Dey, Michael Awood

“…Predicted bandage lengths were calculated for each model using Python scripts, and pressure readings were obtained using a Force Sensitive Resistor circuit, with outputs converted to mmHg based on calibration values. …”
Get full text

Comparative analysis of Microsoft Kinect Azure and manual measurement methods in the sit and reach test among elite female weightlifters by Usame Ömer Osmanoğlu, Kenan Erdaği, Bülent IŞIK, Serkan Örücü, Erkan Özbay

“…Statistical analyses were performed using IBM SPSS 25.0 and Python 3.9.12 software. Descriptive statistics were calculated for all variables, and differences between Kinect and manual methods were evaluated with the Mann-Whitney U test and Wilcoxon Signed-Rank Test. …”
Get full text

TAVISCORE: a computer program for risk stratification of complications after aortic valve interventions in patients with reduced ejection fraction by D. A. Strelkov, D. D. Zubarev, A. S. Pischugin, V. V. Guryev, D. I. Kulikov, Z. N. Postnikova, K. S. Lening

“…The next step, based on the calculations obtained and using the Python 3.10.6 language, was the creation of the TAVISCORE program.Results. …”
Get full text

Development of an Integrated Human-Computer Interactive Model for Improved User Experience in Gesture-Controlled Smart Mirrors by Ayorinde Joseph Olanipekun, Olubusola Olufunke Nuga, Peter Olamide Onabanjo, Emmanuel Uchechukwu Ogbodo, Samuel Blessing Owusu

“…In the usability test, the average response time across all gestures was 0.75 seconds, which is within the acceptable range for real-time interaction. …”
Get full text

The Establishment and Evaluation Model of the Thematic Deep-Learning Teaching Module by Kai-Chao Yao, Li-Chiou Hsu, Jiunn-Shiou Fang, Yi-Jung Chen, Zhou-Kai Guo

“…Feedback revealed that students who participated in the teaching experiment responded positively on all levels of the affective scale, indicating increased motivation and willingness to continue learning. …”
Get full text