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Python Scripting - Science topic
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Publications related to Python Scripting (4,013)
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This dataset focuses on the agricultural management practices and production in Norway, derived from the websites Nibio.no, Plantevernleksikonet.no, and nlr.no. All gathered data is in Norwegian. The data is in JSON files (RAW format) and covers topics pertinent to Norwegian agriculture, such as crop rotation, soil health, plant protection and sust...
Giant clams (Tridacna) are well-suited archives for studying past climates at (sub-)seasonal timescales, even in
‘deep-time’ due to their high preservation potential. They are fast growing (mm-cm/year), live several decades
and build large aragonitic shells with seasonal to daily growth increments. Here we present a multi-proxy record
of a late Mio...
Accurately estimating the binding strength between proteins and ligands is fundamental in the field of pharmaceutical research and innovation. Previous research has largely concentrated on 1D or 2D molecular descriptors, often neglecting the pivotal 3D features of molecules that profoundly impact drug properties and target binding. This oversight h...
Face Centre Cubic (FCC) lattices with varying porosities were designed and developed via Python scripting and printed using Fused Filament Fabrication (FFF) and Multi-Jet Fusion (MJF). The printed lattices were assessed through compressive tests and the compressive behaviour. Reverse engineering employing 3D scanning was utilised to evaluate the pr...
Modern power systems are witnessing increased uptake of solar photovoltaic power plants (SPVPPs) replacing conventional synchronous generators (SGs). SPVPPs lack any rotating parts resulting in no natural rotational inertia contribution to the grid. Reduced inertia makes the power system more dynamic, making it susceptible to frequency instability...
Statistical testing, particularly homogeneity and normality testing, is an important step in the data analysis process to ensure the validity of statistical assumptions before conducting further analysis. This article discusses the implementation of Python-based homogeneity and normality testing, a programming language that is increasingly popular...
The increase in video streaming has presented a challenge of handling stream request effectively, especially over networks that are variable. This paper describes a new adaptive video streaming architecture capable of changing the video quality and buffer size depending on the data and latency of streamed video. For video streaming VLC media player...
Building energy consumption management significantly impacts energy efficiency, environmental effects, and economic benefits throughout a building’s life cycle. Optimizing building energy consumption has become a great challenge in the field of green buildings. This paper proposes an automated simulation method that integrates the EnergyPlus energy...
Automation of laboratory processes is crucial in analytical chemistry, as it enhances experimental reproducibility by eliminating repetitive tasks and reducing human errors. In this context, the integration of laboratory automation techniques into chemical analysis, particularly utilizing electrochemical field-effect transistor (FET)-based sensors,...
Building information modeling (BIM) has proven to be a valuable technology in the fields of architecture, construction management, and maintenance management. However, its full implementation in structural engineering remains unfulfilled due to the persistent use of outdated design methods. Insufficient automation in the design process could lead t...
Multimodal music information retrieval (MIR) has gained much significance and there exists a plethora of datasets in different formats as well as machine learning and deep learning models built on these datasets for MIR tasks. However, these datasets are mostly found in high-resourced languages making the models biased to these cultures and languag...
The properties and functions of metal–organic frameworks (MOFs) can be tailored by tuning their structure, including their shape, porosity and topology. However, the design and synthesis of complex structures in a predictable manner remains challenging. Here we report the preparation of a series of isomeric pillar-layered MOFs, and we show that the...
The integration of fibre optic sensors within composite materials offers a potentially superior method for monitoring strains during processing and operational phases. Unlike more conventional sensors such as strain gauges and thermocouples, fibre optics offer distinct advantages. They remain unaffected by other monitoring techniques like dielectri...
Fibre-reinforced polymers based on natural fibers, such as flax fibers, exhibit pronounced nonlinear orthotropic material behavior. This presents a significant challenge in finite element analysis (FEA) simulations, as the nonlinear constitutive models available in commercial FEA tools are difficult to apply and fail to capture all the material’s s...
This article examines how the integration of ChatGPT, Python, and Microsoft Excel can significantly enhance the productivity of medical librarians. These tools provide a powerful framework for automating tasks, processing large datasets, and generating actionable insights. ChatGPT, with its advanced natural language processing, helps automate Pytho...
Soil saturated hydraulic conductivity (Ksat) and steady-state infiltration rate (SSIR) are essential and necessary soil properties for different geoscience applications. Values of these hydraulic properties for the Brazilian territory are difficult to access and are dispersed in research efforts carried out around the country. This study developed...
In the age of widespread digital integration, the rise in cyber threats is evident. Cyber attackers use malicious software (malware) to compromise data and exploit system resources, employing tactics such as remote control or ransom through data encryption. Despite the common use of antivirus software with signature-based detection, this study reve...
DuckDB is a powerful and practical tool, designed by data analysts in academia to address common use cases efficiently. It complements PostgreSQL workflows by streamlining ad-hoc data analysis, ETL processes, cross-database queries, and basic data migrations. DuckDB’s lightweight yet highly efficient architecture eliminates the need for extensive s...
Optical Coherence Tomography (OCT) has become an indispensable tool for investigating mesoscopic features in soft matter and fluid mechanics. Its ability to provide high-resolution, non-invasive measurements in both spatial and temporal domains bridges critical gaps in experimental instrumentation, enabling the study of complex, confined, and dynam...
In this work, a new structural optimization framework, Deep Opt, is developed. The framework was built based on deep learning and multi-objective genetic algorithm (NSGA-II) for a simple, novel micromixer optimization process of geometrical structures and operational conditions. First, the process of generating signed distance field (SDF) and compu...
Code smell adalah kelemahan desain atau praktik buruk dalam kode program yang merugikan proyek pengembangan perangkat lunak. Hal ini dapat menyebabkan penurunan kualitas kode, meningkatkan kompleksitas proyek, hambatan dalam pemeliharaan kode, dan risiko kesalahan. Penelitian ini bertujuan untuk mengembangkan aplikasi deteksi code smell pada bahasa...
In recent years, the process of creating lithophanes has involved the use of 3D printing technologies to produce transparent plates of varying thicknesses and when backlit, these lithophanes create images. The process includes building a 3D model of the lithophane with open-source 3D modeling software. Then, the print parameters are chosen, and whi...
I present version 5.0 of FRELLED, the FITS Realtime Explorer of Low Latency in Every Dimension. This is a 3D data visualisation package for the popular Blender art software, designed to allow inspection of astronomical volumetric data sets (primarily, but not exclusively, radio wavelength data cubes) in real time using a variety of visualisation te...
Aims: This study aims to evaluate and compare the reliability of Selenium and Playwright, two leading frameworks for automated web testing. The assessment focuses on key reliability metrics, including uptime and the Rate of Occurrence of Failures (ROCOF). Study Design: A comparative experimental study conducted under controlled testing conditions....
Shooting exercises in Indonesia typically use simple bulls-eye targets on wooden boards with sand backstops, requiring manual setup and score calculation. This setup is inefficient, especially for long-range shooting, as operators must walk far to retrieve targets, and bullets embedded in sand are hard to recycle. This project developed an advanced...
Understanding regional and seasonal patterns in electricity consumption is essential for ensuring grid reliability, resiliency, and sustainable infrastructure management. With the rapid growth in electricity demand data and the integration of distributed energy resources, traditional methods struggle to capture zonal load patterns effectively. This...
Cyber Threat Intelligence (CTI) is an important asset for organisations to facilitate the safeguarding of their systems against new and emerging cyber threats. CTI continuously provides up-to-date information which enables the design and implementation of better security measures and mitigation strategies. Organisations gather data from different s...
The processes of data collection and preparation, which form the basis of macro-economic research, present significant challenges, especially in developing countries. In this study, a customized Python script for Turkish macro-economic data was developed with the objective of overcoming these challenges and easing the workload of researchers. This...
This study investigates the effects of crew fatigue on bunker barge employees, emphasizing the sources and causes of crew fatigue in bunker tankers operating in Singapore. This study investigates shipboard management, operations, planning, the worldwide oil market, supply and demand for seafarers, and Singapore's maritime industry. Anthropological...
A bicycle node network is a wayfinding system targeted at recreational cyclists, consisting of numbered signposts placed alongside already existing infrastructure. Bicycle node networks are becoming increasingly popular as they encourage sustainable tourism and rural cycling, while also being flexible and cost-effective to implement. However, the l...
This study investigates hydrogen and hydrogen-methane mixtures as alternative fuels for industrial burners, focusing on combustion dynamics, flame stability, and emissions. CFD simulations in ANSYS Fluent utilized the RANS framework with the k-ε turbulence model and the mixture fraction/PDF approach. Supporting Python scripts and Cantera-based kine...
Background and Study Aim. Modern education increasingly integrates pedagogical methods to enhance both the academic achievements and overall well-being of various population groups. Despite these efforts, challenges remain in effectively applying these approaches to improve health outcomes. The purpose of this study is to analyze contemporary pedag...
Background and Study Aim. The influence of physical culture on the health improvement of various population groups requires analysis and the search for promising research directions. At the same time, the methods and means of physical culture used in rehabilitation are diverse and need systematization and clarification. The aim of the study is to r...
The increasing frequency of cyberattacks underscores the critical importance of robust database security measures. Oracle Database, known for its enterprise-grade solutions, offers an array of tools for securing sensitive data. However, integrating Oracle's powerful features with Python-a versatile and widely-used programming language-opens new ave...
Multidimensional 3D-rendered objects are an important component of vision research and video-gaming applications, but it has remained challenging to parametrically control and efficiently generate those objects. Here, we describe a toolbox for controlling and efficiently generating 3D rendered objects composed of ten separate visual feature dimensi...
The increasing amount of data in meteorological science requires effective data-reduction methods. Our study demonstrates the use of advanced scientific lossy compression techniques to significantly reduce the size of these large datasets, achieving reductions ranging from 5× to over 150×, while ensuring data integrity is maintained. A key aspect o...
Functionalization of a scanning microscopy probe with a single nickelocene allows reproducible spin-sensitive measurements of magnetic systems on surfaces. The triplet ground state of the nickelocene tip gives rise to a characteristic inelastic electron spin-flip excitation, which can change upon interaction with spin systems on the surface. These...
Volumetric muscle loss (VML) represents a critical unmet need in regenerative medicine, with no established standard of care. This study introduces a novel therapeutic strategy using tissue-specific skeletal muscle extracellular matrix (ECM) fibers fabricated using scaffold-free Anchored Cell Sheet Engineering technology. These engineered fibers re...
This column presents a case study exploring innovative approaches to digital librarianship within a distance learning Higher Education institution based in the UK. Key initiatives included asynchronous information literacy instruction, Python scripts for auditing course materials for broken links and copyright compliance, and management of physical...
Oracle Machine Learning for Python (OML4Py) represents a significant advancement in data science and machine learning by seamlessly integrating Python’s extensive machine learning libraries with Oracle Database’s robust infrastructure. This paper explores the architecture, key features, and practical applications of OML4Py, highlighting its ability...
The latest advances in science and technology have resulted in great advances in artificial intelligence (AI), including the creation of chatbots. Chatbots simulate human conversation and allow humans to ask questions and receive answers based on a large volume of electronically stored information. Faculties of universities around the world are try...
This study investigates the structural performance of beam-to-column bolted connections made from stainless steel using a novel finite element model. While previous research has largely focused on the performance of individual members within stainless steel structures, there is a notable gap in understanding the behavior of connections between beam...
O artigo descreve o desenvolvimento de uma interface tecnológica acessível para usuários leigos em programação, baseada no método MotivAção, o qual propõe a criação de jogos digitais com uso de fotografias. A interface facilita organizar imagens fornecidas por usuários e automatiza a criação de jogos interativos em plataformas como Windows, Linux e...
Aim
The current study aims to delineate subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), the sacrospinalis muscle, and all abdominal musculature at the L3–L5 vertebral level from non-contrast computed tomography (CT) imagery using deep learning algorithms. Subsequently, radiomic features are collected from these segmented images an...
The Project illustrates the design and development of a clever mirror that shows an exquisite interface for glimpsing data. Intelligent mirror, which continues the workings today, and will take its place in technology forthcoming, provides both mirror and computer-served information amenities to its users. "Smart Mirror System Development" includes...
The increase in video streaming has presented a challenge in handling stream requests effectively, especially over variable networks. This paper describes a new adaptive video streaming architecture capable of changing the video quality and buffer size depending on the data and latency of streamed video, for video streaming VLC media player was use...
Variation graphs offer superior representation of genomic diversity compared to traditional linear reference genomes, capturing complex features that are otherwise inaccessible to analysis. It seems self-evident that integrating these graphs with genome-wide association studies (GWAS) should enable more comprehensive understanding of genetic landsc...
Advances around Artificial Intelligence (AI) intersect with complex ethical issues, given its potential to assist and propagate misinformation in health. This communication aims to fill a gap identified in the state of the art, shedding light on the new misinformative threats offered by AI in euthanasia and directly implicated end-of-life issues (a...
DATABASE URL: https://forestforward.udl.cat
Mitigating the effects of environmental exploitation on forests requires robust data analysis tools to inform sustainable management strategies and enhance ecosystem resilience. Access to extensive, integrated plant biodiversity data, spanning decades, is essential for this purpose. However, such data is...
Knowledge of future land use changes is crucial, as they are interlinked to various factors of human-environmental systems. Land use changes have a profound impact on urban planning, environmental sustainability, resource management, and overall quality of life. Spatial data can often be computationally heavy, so the provision of accessible and rea...
Although small molecule superposition is a standard technique in drug discovery, a rigorous performance assessment of the corresponding methods is currently challenging. Datasets in this field are sparse, small, tailored to specific applications, unavailable, or outdated. The newly developed LOBSTER set described herein offers a publicly available...
NASA’s Ingenuity Mars Helicopter has marked a new era in planetary exploration by employing unmanned aerial vehicles (UAVs) to enhance our understanding of planetary surfaces. This study evaluates the potential of UAVs for mapping Martian environments, with Lake Natron, Tanzania, serving as an analog for Martian paleolakes. During two field seasons...
Pada seni kriptografi banyak teknik enkripsi yang bisa dmanfaatkan, diantaranya adalah teknik “Data Encryption Standard (DES)” yang tergolong jenis cipher blok yang menggunakan kunci simetris yang dapat mengenkripsi pesan sebanyak 64 bit. Terdapat tiga tahapan operasi untuk teknik data encryption standard-DES, tahap satu dengan menjalankan perubaha...
Omics techniques, such as proteomics, contain crucial data for understanding biological processes, but they remain underutilized due to their high dimensionality. Typically, proteomics research focuses narrowly on using a limited number of datasets, hindering cross-study comparisons, a problem that can potentially be addressed by machine learning....
The Multi-Feature Tagger of English (MFTE) provides a transparent and easily adaptable open-source tool for multivariable analyses of English corpora. Designed to contribute to the greater reproducibility, transparency, and accessibility of multivariable corpus studies, it comes with a simple GUI and is available both as a richly annotated Python s...
Introduction: The present exploratory study seeks to showcase an approach to uncover potential genetic associations predisposing individuals to opioid dependence, in which a large clinical database is utilized to compare results of testing for genetic variants with clinical diagnoses of opioid dependence.
Methods: Employing a STROBE-compliant stud...
Context
Beta-barrel enzymes are an important area of study in the field of structural biology. These proteins serve crucial roles, acting as porins, transporters, enzymes, virulence factors, and receptors. Recent research has unveiled a novel role for beta-barrel enzymes in the bacterial integral membrane as sentinels. They remain inactive when the...
Indoor positioning systems are critical for various applications, with accuracy being a key challenge. Previous research by Rashmi et al. employed a mobile-based approach for collecting Wi-Fi RSSI data [1]. This study introduces a robot-aided method to enhance data collection and processing efficiency. By utilizing a robot, over 90 RSSI signals wer...
The air void system in concrete significantly affects its mechanical, thermal, and frost durability properties. This study explored the use of ChatGPT, an AI tool, to generate Python code for analyzing air void parameters in hardened concrete, such as total air void content (A), specific surface (α), and air void spacing factor (L). Initially, Pyth...
Nowadays, drone imagery is a common way to quickly obtain information on the state of vegetation, as well as a method for taking orthophotos and terrain models. For terrain modelling, aerial photographs are required to have at least 60% overlap between adjacent images. Typically, the inadequate overlap is only discovered later, during post-processi...
Objetivo: Desenvolver IF-Cloud, uma API para prototipagem e integração de dispositivos IoT e aplicações web de saúde interoperáveis. Método: O estudo de caso é um ecossistema de saúde digital para monitoramento de biossinais que realiza apenas operações Criar/Ler/Atualizar/Excluir (CRUD). IF-Cloud recebe novas operações através do upload de scripts...
Expanding on constraint-based metabolic models, protein allocation models (PAMs) enhance flux predictions by accounting for protein resource allocation in cellular metabolism. Yet, to this date, there are no dedicated methods for analyzing and understanding the growth-limiting factors in simulated phenotypes in PAMs.
Here, we introduce a systematic...
Leak detection in oil and gas pipeline networks is a climacteric and frequent issue in the oil and gas field. Many establishments have long depended on stationary hardware or traditional assessments to monitor and detect abnormalities. Rapid technological progress; innovation in engineering; and advanced technologies providing cost-effective, rapid...
The study examines Permeable Interlocking Concrete Pavers (PICP) systems in urban and suburban areas facing intensified stormwater challenges due to climate change and evolving land use patterns. It investigates various factors affecting PICP performance, including soil, topography, vegetation, and rainfall intensity, using advanced modeling techni...
The Shapley value formalism from cooperative game theory was adapted to explain predictions of machine learning models. Here, we present a protocol to calculate and compare exact Shapley values for support vector machine models with commonly used kernels and binary input features. We describe steps for installing software, preparing data, and calcu...
A comprehensive, high-resolution hydrodynamic operational service using XBeach model is presented and tested for three urban beaches in Barcelona, NW Mediterranean Sea. The operational architecture is based on Python scripts combined with task automation tools, ensuring a user-friendly system implemented on a standard desktop computer. Hydrodynamic...
Providing realistic training data is key to developing machine learning algorithms that can support geological interpretation of LWD logs. Ample training data can be provided by conventional geocellular models aimed at capturing spatial property distributions and expected uncertainty along planned well trajectories. However, for synthetic logs to b...
Background and Aims
The rapid and accurate detection of viruses and the discovery of single nucleotide polymorphisms (SNPs) are critical for disease management and understanding viral evolution. This study presents a pipeline for virus detection, validation, and SNP discovery from next-generation sequencing (NGS) data. The pipeline processes raw se...
Level: 200-level Class Size: 15-30 Course Description Recent breakthroughs in Deep Learning (DL) have transformed automation and redefined the functional terms of artificial intelligence (AI). Alongside DL-based AI's widespread use comes a mix of high hopes and deep anxieties about an AI-steering future. This course debunks AI as a one-way ticket t...
Cracking the DevOps Interview: A Comprehensive Guide to the Top 100 Devops Interview Questions, covers all you need to know for DevOps interviews, including key topics like Linux, Git, AWS, Docker, Terraform, Kubernetes, Shell scripting, Python, Ansible, Jenkins, and Monitoring. It also features a real-world DevOps project and a bonus section on us...
Autopsy reports contain large amounts of information, but it is not easily available for research due to the prosaic format. Manual extraction from written records is tedious, time-consuming and prone to human error. An automated data extraction process is a time and labor efficient way to create large datasets.
We have developed a custom Python s...
Air pollution is a multifaceted issue affecting people’s health, environment, and biodiversity. Gaining comprehension of the interactions between natural and anthropocentric pollutant concentrations and local climate is challenging. This study aims to address the following two questions: (1) What is the influential mechanism of climatic and anthrop...