Latest Version Research Articles

Assessing the accuracy and reproducibility of ChatGPT for responding to patient inquiries about otosclerosis.

Patients increasingly use chatbots powered by artificial intelligence to seek information. However, there is a lack of reliable studies on the accuracy and reproducibility of the information provided by these models. Therefore, we conducted a study investigating the ChatGPT's responses to questions about otosclerosis. 96 otosclerosis-related questions were collected from internet searches and websites of professional institutions and societies. Questions are divided into four sub-categories. These questions were directed at the latest version of ChatGPT Plus, and these responses were assessed by two otorhinolaryngology surgeons. Accuracy was graded as correct, incomplete, mixed, and irrelevant. Reproducibility was evaluated by comparing the consistency of the two answers to each specific question. The overall accuracy and reproducibility rates of GPT-4o for correct answers were found to be 64.60% and 89.60%, respectively. The findings showed correct answers for accuracy and reproducibility for basic knowledge were 64.70% and 91.20%; for diagnosis & management, 64.0% and 92.0%; for medical & surgical treatment, 52.95% and 82.35%; and for operative risks & postoperative period, 75.0% and 90.0%, respectively. There were no significant differences found between the answers and groups in terms of accuracy and reproducibility (p = 0.073 and p = 0.752, respectively). GPT-4o achieved satisfactory accuracy results, except in the diagnosis & management and medical & surgical treatment categories. Reproducibility was generally high across all categories. With the audio and visual communication capabilities of GPT-4o, under the supervision of a medical professional, this model can be utilized to provide medical information and support for otosclerosis patients.

How green HRM practices foster green competitive advantage through big data analytics capability and are amplified by managerial environmental concern

PurposeIn today’s business landscape, drawing upon the critical role of environmental sustainability, this study investigates the intricate relationship between green human resource management practices (GHRMP), big data analytics capability (BDAC), green competitive advantage (GCA) and environmental performance (EP), further moderated by managerial environmental concern (MEC).Design/methodology/approachThis study employs a quantitative approach using the latest version of SmartPLS 4 version 4.0.9.6 on a data sample of 467 participants representing a diverse range of manufacturing SMEs. Data were collected from managers and directors using a structured questionnaire and analyzed using structural equation modeling (SEM). This study contributes to the existing knowledge by integrating GHRMP and BDAC within the GCA framework, providing a comprehensive understanding of how these practices enhance SME`s sustainability.FindingsThe findings provide valuable insights into the manufacturing sector, aiming to enhance SMEs' green competitive advantage. Implementing GHRMP fosters environmental awareness within the workforce, and building BDAC allows for effectively translating that GHRMP into actionable insights, maximizing the potential for achieving GCA. Furthermore, recognizing MEC’s moderating role strengthens positive environmental outcomes associated with GCA. The findings confirm that GHRMP and BDAC are valuable resources and key drivers contributing to competitive advantage in sustainability of enterprises.Practical implicationsFor SMEs, our findings suggest that strategically integrating GHRMP with BDAC not only boosts environmental stewardship but also improves operational efficiency and market positioning. This research outlines actionable steps for SMEs aiming to achieve sustainability targets while enhancing profitability. This research provides actionable insights for SMEs in strategic decision-making and policy formulation, aiding SMEs in navigating the complexities of sustainable development effectively.Originality/valueThis study contributes to the existing knowledge by integrating GHRMP and BDAC within the GCA framework, providing a robust theoretical explanation of how HRM practices and BDAC help SMEs gain green competitiveness. The implication of this study reveals that SMEs implementing and integrating green HRM practices with advanced data analytics are more likely to gain competitive advantage. This study draws theoretical support from the resource-based view (RBV) theory, positing that a firm’s sustainable competitive advantage stems from its unique and valuable resources and capabilities that are difficult for competitors to imitate or substitute.

AI chatbot: I want help, not the answer!

In recent years, the integration of artificial intelligence (AI) into educational settings has become a topic of great interest. As technology continues to evolve, educators and students are exploring how AI can enhance learning experiences. University of South-Eastern Norway (USN) and Kristiania University College (HK) are developing a web-based educational tool, DbPersist, where IT students can practice tasks within the database subject and receive automated feedback. The latest version now also offers students suggestions on how to utilize AI for learning while they are solving various database related tasks. In this study, we explore the students' experiences with getting automatically generated “prompts” for further use in their preferred AI tool, whenever they request assistance. Do they see the value in gaining experience in using prompts designed for learning? Do they believe it might help them using AI for learning purposes in other courses in their study? To answer these questions, we conducted surveys and interviews. Participants included bachelor students across various disciplines and multiple campuses at USN. The participants were all enrolled in database courses with learning goals involving the database query language SQL and ER modelling (drawing Entity-Relationship Diagrams). Early findings suggest that students appreciate the assistance provided by DbPersist’s AI prompts. They value the emphasis on AI-assisted learning and find the prompts useful for getting assistance in solving difficult tasks as opposed to getting complete answers. They also see the value in gaining experience in using AI chatbots using prompts designed for learning and understanding. As AI continues to shape education, tools like DbPersist offer exciting possibilities. DbPersist exemplifies how AI may be used to empower students, emphasizing learning and understanding alongside correctness.

Effect of Particle Size on Physical Properties, Dissolution, In Vitro Antioxidant Activity, and In Vivo Hepatoprotective Properties of Tetrastigma hemsleyanum Diels et Gilg Powders

Objective: The aim of this study was to analyze the effects of different particle sizes of Tetrastigma hemsleyanum Diels et Gilg (TDG) powders on physical properties, dissolution, in vitro antioxidant activity, and in vivo hepatoprotective properties. Methods: The particle size of TDG coarse powders (TDG-CP), TDG fine powders (TDG-FP), and TDG micro powders (TDG-MP) were measured by a laser particle size analyzer. The physical properties were measured according to the latest version of the Chinese Pharmacopoeia (Committee Chinese Pharmacopoeia 2020). The content of the total flavonoids, total polysaccharides, kaempferol-3-O-rutinoside, and rutin of TDG powders were determined using the NaNO2-Al (NO3)3 colorimetric method, the sulphate-phenol colorimetric method, and HPLC, respectively. In vitro dissolution and antioxidant activity were determined by the paddle method in phosphate buffer (pH 6.8) and the DPPH radical scavenging method, respectively. In addition, the liver tissue pathology was evaluated by hematoxylin and eosin staining (H&E), and the AST and ALT activities were measured by automatic biochemical analyzer. The superoxide dismutase (SOD), catalase (CAT), and glutathione (GSH) activities were measured by using commercial analysis kits. Results: As the particle size decreases, the fluidity of TDG powders decreased and the porosity increased. In addition, there were no significant differences in physical properties between low temperature pulverized powders and room temperature pulverized powders. The final dissolution rates of the four bioactive ingredients in TDG-MP were found to be 85.06%, 85.61%, 83.88%, and 83.26%, respectively, whereas in TDG-CP, the dissolution rates were significantly lower at 18.79%, 17.96%, 22.46%, and 24.35%. The EC50 values of TDG-CP, TDG-FP, and TDG-MP on DPPH scavenging activity were 0.82, 0.31, and 0.10 mg/mL, respectively. The AST and ALT activities of the TDG-FP group and the TDG-MP group were significantly decreased and the SOD, CAT, and GSH activities were significantly increased when compared with that of the model group. The inflammatory cell infiltration and vacuolar degeneration of liver cells in the TDG-FP group and the TDG-MP group were significantly improved. Conclusions: The particle size of TDG powders had a significant effect on the physical properties and in vivo bioactivity. TDG pulverized to a fine particle size or smaller is a promising approach for clinical applications with improved physicochemical and biological properties.

The 2024 IPD-MHC database update: a comprehensive resource for major histocompatibility complex studies.

The IPD-MHC Database project (http://www.ebi.ac.uk/ipd/mhc/) serves as a comprehensive and expertly curated repository for major histocompatibility complex (MHC) sequences from non-human species, providing the necessary infrastructure and tools to study the function and evolution of this highly polymorphic genomic region. In its latest version, the IPD-MHC database has expanded both in content and in the tools for data visualization and comparison. The database now hosts over 18 000 MHC alleles from 125 species, organized into eleven taxonomic groups, all manually curated and named by the Comparative MHC Nomenclature Committee. A cetacean section has recently been included, offering researchers valuable data to study the immune system of whales, dolphins, and porpoises, as well establishing the official nomenclature platform for the Cetacea Leukocyte Antigens (CeLA). In response to user demand and reflecting broader trends in bioinformatics and immunogenetics, IPD-MHC now includes the predicted tertiary structure of over 8000 alleles and allows comparison and visualisation of allele variation within and between species at single residue resolution. These latest developments maintain the critically important link between official nomenclature of curated alleles and the ability to analyse this complex polymorphism using the most up to date methods within a single repository.

CH4 and CO emission estimates for megacities: deriving enhancement ratios of CO2, CH4, and CO from GOSAT-2 observations

Abstract Enhancement ratios among trace gases co-emitted by combustion of fossil fuels vary with emission sources and their combustion efficiency. We used column-averaged dry-air mole fractions of carbon dioxide (XCO2), methane (XCH4), and carbon monoxide (XCO) from the Greenhouse gases Observing SATellite-2 (GOSAT-2), a unique satellite that observes them simultaneously with the same field of view, to derive the enhancement ratios (ΔXCO/ΔXCO2, ΔXCO/ΔXCH4, and ΔXCH4/ΔXCO2) for the 40 most populous cities in the world. These enhancement ratios were used to evaluate the Emissions Database for Global Atmospheric Research (EDGAR). For cities where the difference in the 2015 EDGAR CO emissions between the latest versions (v6.1 and v5.0) was 30% or less, the GOSAT-2 ΔXCO/ΔXCO2 ratios and EDGAR (v6.1/v7.0) CO/CO2 emission ratios were in good agreement (correlation coefficient of 0.65). For ~70% of the cities where the difference of CO emissions exceeded 30%, the EDGAR CO/CO2 emission ratios using v6.1 CO emissions were in better agreement with the GOSAT-2 ΔXCO/ΔXCO2 ratios than those using v5.0 CO emissions, indicating that v6.1 CO emissions were improved over v5.0 emissions. However, for the remaining cities, the version upgrade may have reduced the CO emissions too much. The CH4 and CO emissions for each city were then estimated from the ΔXCH4/ΔXCO2 and ΔXCO/ΔXCO2 ratios, respectively, by reference to the CO2 emissions from the Open-data Inventory for Anthropogenic CO2 (ODIAC) or EDGAR. Compared to our estimates using the ODIAC (EDGAR) CO2 emissions, the EDGAR v7.0 CH4 and v6.1 CO emissions were underestimated for 74% (57%) and 76% (53%), respectively, of all cities where results were available. For several cities where emissions were estimated using in situ observations and ground-based remote sensing observations, our results were in reasonable agreement with these results. The implication is that satellite-derived enhancement ratios can provide informative constraints on anthropogenic emissions in megacities.

UPAYA MENINGKATKAN HALAL ADOPTION PADA TENUN SONGKET ETNIK LOKAL PANDAI SIKEK

The rapid transition of the global halal fashion industry may require a series of innovations and adaptations in the MSMEs sector. Therefore, technology adoption and organizational openness to change are the main challenges for stakeholders. This study was conducted to examine and analyze the effects of technology, organization, and an increasingly competitive environment on halal adoption in the MSME weaving sector. By using a purposive sampling technique with certain criteria, as many as 30 MSMEs owners or members were obtained to contribute and respond to the research questionnaire, and then those responses were analyzed through the Structural equation model technique with Smart-PLS software's latest version. Results stated that halal adoption in the MSMEs weaving sector is not affected by technological and organizational aspects, it is due to a lack of openness to accept the changes, then most of the actors also thought that halal adoption didn’t provide value-added. Therefore, the motivation for human resource development and technology utilization was also low. Halal adoption is significantly affected by environmental aspects. External pressures such as market demand and government regulations will force weaving MSME actors to adapt to the changes for business sustainability and maintaining national fashion cultural heritage.

Assessment of geoid models for geopotential values determination in Mexico'S continuous monitoring network

The requirements of the reference systems related to the vertical part are aimed at adopting a global height system that allows taking advantage of the development of satellite technology that provides terrestrial data with higher quality. Due to this need, the International Association of Geodesy (IAG) has proposed the realization and implementation of the International Height Reference System (IHRS), based on geopotential numbers obtained from the gravity potential difference at a point on the Earth's surface (W(P)) referred to the geoid (W0), whose value adopted by convention corresponds to 62636853.4 m2s-2. Nowadays, efforts are underway worldwide to materialize this system. Considering this, the present work entails the analysis of information gathered from SIRGAS continuous monitoring stations in Mexico: MTY2, IDGO, INEG, MERI, and ICAM, to estimate its gravity potential from sufficiently precise geocentric coordinates and absolute gravity values, which when combined with heights derived from geoid models, allows obtaining a modern height system such as the IHRS. The analysis aims to evaluate the feasibility of estimating the gravity potential at the stations, by using precise geocentric coordinates and absolute gravity values which when combined with high-resolution geoid models such as EGM2008, GGM10, EIGEN6C4, XGM2019e_2159, SGGUGM2, and the xGEOID20B, to implement a modern height reference system in Mexico; as well as to contribute to the International Height Reference Framework (IHRF), which in its latest version only includes the MERI station, located in Mérida, Yucatán. Therefore, we consider that for their characteristics the stations analyzed can be included to densify the frame in the implementation of the system. The results show the differences in gravity potential in the different regions of the country, reinforcing the need to consider more reference stations. Additionally, benchmark points close to the selected stations were analyzed to determine the reference potential value of the GGM10, with which it was also possible to analyze the behavior between the observed geoid and the different geoid models, toward the modernization of the official height system, which is based on orthometric heights called NAVD88, which shows us the differences between the geoid observed with the official height system and the analyzed models. Finally, the study examines the consistency of the calculated orthometric heights with geopotential numbers derived from the different geoid models.

Depth of invasion and extranodal extension: the influential factors to predict survival rate of patients with oral tongue squamous cell carcinoma

BackgroundCancer staging is essential in determining patients’ prognoses and designing the appropriate treatment strategy. American Joint Committee on Cancer has released the latest version of the staging system for tongue SCC. However, it is interesting to know whether this change in staging and the addition of depth of invasion (DOI) and the extra-nodal extension (ENE) have any influence on patients’ prognosis.MethodsIn this retrospective cohort study, the pathology records of patients with tongue SCC who underwent surgery at the Pathology Department of Cancer Institute Hospital, 2017–2021, were collected by referring to the hospital information system. Then the rate of change of pT, pN, and overall stage were assessed based on American Joint Committee on Cancer 7th and 8th editions.ResultsThe records of 204 patients were included in the final analysis. Significant changes in the staging system 2021 resulted in upstaging 64 patients (31.4%) in the overall stage, 91 patients (44.6%) in pT, and 30 patients (14.7%) in pN. The survival of upstaged patients was inferior compared to those without upstaging. However, this was not statistically significant for tumor and overall upstaging in the univariate analysis, while those with upstaged pN had significantly shorter survival. In the multivariate analysis, pT upstage also significantly impacted survival.ConclusionThis study showed the importance of pathology reports based on the latest edition of the American Joint Committee on Cancer, the accuracy in examining factors such as depth of invasion and extra-nodal extension.

Environmental Education and Sustainability in the Brazilian High School: To Raise Awareness is to Commit to Life

Environmental Education (EE) is an essential theme that must be addressed broadly and effectively in High School. Brazilian High School students are aware of environmental issues that devastate the country they live in. Thus, the Base Nacional Comum Curricular (BNCC) is a mandatory document whose norms guide and define common learning results of curricula in all public and private schools in Brazil. Therefore, this study aimed at analyzing how EE was inserted into the latest version of the High School BNCC. It is an exploratory study which analyzed documents and bibliographic sources. Regarding its methodology, key words connected to EE and to promotion of sustainability in High School were used for the search in the document. After data issued by the BNCC were analyzed, we perceived that EE is briefly inserted in the document; as a result, it is neither taught nor practiced as it should be. Since EE is generically treated and poorly addressed, it does not contribute to a broad, transversal and integrative approach. Teaching EE and sustainability in High School is an important step to achieve legally established goals, go beyond theories and, mainly, put into practice speeches given by the Brazilian public management.

GP-Plotter: Flexible Spectral Visualization for Proteomics Data with Emphasis on Glycoproteomics Analysis.

Identification evaluation and result dissemination are essential components in mass spectrometry-based proteomics analysis. The visualization of fragment ions in mass spectrum provides strong evidence for peptide identification and modification localization. Here, we present an easy-to-use tool, named GP-Plotter, for ion annotation of tandem mass spectra and corresponding image output. Identification result files of common searching tools in the community and user-customized files are supported as input of GP-Plotter. Multiple display modes and parameter customization can be achieved in GP-Plotter to present annotated spectra of interest. Different image formats, especially vector graphic formats, are available for image generation which is favorable for data publication. Notably, GP-Plotter is also well-suited for the visualization and evaluation of glycopeptide spectrum assignments with comprehensive annotation of glycan fragment ions. With a user-friendly graphical interface, GP-Plotter is expected to be a universal visualization tool for the community. GP-Plotter has been implemented in the latest version of Glyco-Decipher (v1.0.4) and the standalone GP-Plotter software is also freely available at https://github.com/DICP-1809.

Recent investigations using an artificial player for brass instruments

Artificial players show great interest for scientific studies on musical instruments: they allow sound production mechanisms to be reproduced, while making it possible to monitor several variables of the system that are usually difficult to measure on human players. In brass instruments, where the reed consists of the lips of the players, several systems have been developed over the years in research laboratories. In order to build artificial lips, one crucial element of the system, different solutions were proposed, such as latex tubes filled with water or rubber sheets. Although very realistic sounds can be obtained with some systems, one difficulty remains to build an apparatus which is relatively easy to control, stable, and repeatable. In this presentation, we will introduce the latest version of the brass artificial player developed in Yamaha and recently at LMA, which is based on a quite efficient, yet relatively simple, solution for the lips. The system then provides ease of use, stability and repeatability, while generating very realistic sounds. We will present some studies conducted with this new apparatus, and also demonstrate a portable version of it, that can trigger some ideas for other applications than research.

Use of semi-empirical models to predict jet noise radiated by unsuppressed and suppressed nozzles

ONERA is involved in two R&T projects related to supersonic aircraft : a self-funded project called PINSON in which a 10-passengers supersonic concept-plane is developed with an aim of reducing consumption, sonic boom and take-off noise, and EU-Project SENECA aiming at providing insights on i) achievable noise levels during takeoff and landing and ii) global climate impact of supersonic aircraft. In both project, the semi-empirical models developed by Stone et al. have been identified as valuable tools for predicting jet noise, which is assumed to be the main contributor to supersonic aircraft noise at take-off. With an aim of extending the work initiated by Jaron et al. in the SENECA framework, ONERA applied Stone et al.'s models to various jet configurations to better understand their domain of validity. Ultimately, the objective is to use those models during engine pre-sizing phase of PINSON project in which a low-noise nozzle equiped with chevrons will be optimized from a multidisciplinary point of view. The objectives of the paper are i) to present the results obtained by applying those models on the EXEJET configurations and ii) to discuss the ability of the latest version of the model to predict chevrons acoustic impact.

The Gaming Disorder Identification Test (GADIT) - A screening tool for Gaming Disorder based on ICD-11.

Gaming Disorder was included as an addictive disorder in the latest version of the International Classification of Diseases (ICD-11), published in 2022. The present study aimed to develop a screening tool for Gaming Disorder, the Gaming Disorder Identification Test (GADIT), based on the four ICD-11 diagnostic criteria: impaired control, increasing priority, continued gaming despite harm, and functional impairment. We reviewed 297 questionnaire items from 48existing gaming addiction scales and selected 68 items based on content validity. Two datasets were collected: 1)an online panel (N = 803) from Australia, United States, United Kingdom andCanada, split into a development set (N = 589) and a validation dataset (N = 214); and 2) a university sample (N = 408) from Australia. Item response theory and confirmatory factor analyses were conducted to select eight items to form the GADIT. Validity was established by regressing theGADIT against known correlates of Gaming Disorder. Confirmatory factor analyses ofthe GADIT showed good model fit (RMSEA=<0.001-0.108; CFI = 0.98-1.00), and internal consistency was excellent (Cronbach's alphas = 0.77-0.92). GADIT scores were strongly associated with the Internet Gaming Disorder Test (IGDT-10), and significantly associated with gaming intensity, eye fatigue, hand pain, wrist pain, back or neck pain, and excessive in-game purchases, inboth the validation and the university sample datasets. The GADIT has strong psychometric properties in two independent samples from four English-speaking countries collected through different channels, and shown validity against existing scales and variables that are associated with Gaming Disorder. A cut-off of 5 is tentatively recommended for screening for Gaming Disorder.

Road traffic noise prediction model "ASJ RTN-Model 2023" proposed by the Acoustical Society of Japan - Part 1: Framework of the calculation model

The Acoustical Society of Japan (ASJ) has had the Research Committee on Road Traffic Noise to develop a prediction model for road traffic noise for more than 50 years. As a result of the continuous research activities, a new version of model, "ASJ RTN-Model 2023", was published in this April. It is an upgrade version of the previous model, "ASJ RTN-Model 2018", proposed in 2019. In developing the latest version, existing knowledge was widely taken into account, in particular, the sound power levels of road vehicles under acceleration running conditions and calculation methods for sound propagation were improved in wide range. This new model is introduced in three papers with the same main title in this congress. In this paper, the framework of the model, the general procedure of prediction calculation, and the outlines of sound emissions and the calculation equations of sound propagation are presented.

First integrated core-edge fluid simulation of ITER’s Limiter–Divertor transition with SolEdge-HDG

This work explores the Limiter–Divertor transition (L–D) during the current ramp-up of ITER’s Q = 10 baseline plasma scenario at various central line-integrated density nli values. The analysis, based on transport simulations performed with the latest version of SoleEdge-HDG, focuses on the time evolution of heat and ion particle fluxes, revealing regions of elevated temperature on the inner wall and plasma-facing components (PFCs) despite moderate loads. The investigation also delves into the effects of perpendicular convection flux terms on density build-up, comparing different formulations and their interplay with auxiliary heating sources. Furthermore, the paper shows the impact of taking into account the evolution of the parallel neutral momentum on plasma and neutral density at the targets in the context of an ITER steady-state scenario.

InChI 1.07 available on GitHub

Abstract The latest InChI version 1.07 has been approved by IUPAC and the InChI Trust—a transformational step in our development to support the standard. Now on Github, with a standard MIT license—fully tested for back-compatibility, many bugfixes, and a foundation for future extension and maintenance.

ALMACAL

The ALMACAL survey is based on a database of reprocessed ALMA calibration scans suitable for scientific analysis, observed as part of regular PI observations. We present all the data accumulated from the start of ALMA operations until May 2022 for 1047 calibrator fields across the southern sky spanning ALMA Bands 3 to 10 (∼84 − 950 GHz), so-called ALMACAL−22. Encompassing over 1000 square arcmin and accumulating over 2000 hours of integration time, ALMACAL is not only one of the largest ALMA surveys to date, but it continues to grow with each new scientific observation. We outline the methods for processing and imaging a subset of the highest-quality data (‘pruned sample’). Using deconvolution techniques within the visibility data (uv plane), we created data cubes as the final product for further scientific analysis. We describe the properties and shortcomings of ALMACAL and compare its area and sensitivity with other sub-millimetre surveys. Notably, ALMACAL overcomes limitations of previous sub-millimetre surveys, such as small sky coverage and the effects of cosmic variance. Moreover, we discuss the improvements introduced by the latest version of this dataset that will enhance our understanding of dusty star-forming galaxies, extragalactic absorption lines, active galactic nucleus physics, and ultimately the evolution of molecular gas.

BirdWingData: Wingspan and wing area data of birds compiled from multiple literature sources and original measurements

AbstractWing morphology plays a pivotal role in avian flight capabilities and ecological adaptations across diverse environments. Consequently, wing measurement data are used frequently in comparative analyses and hypothesis exploration to understand avian evolution. Among the parameters representing wing morphology, wingspan and wing area are relatively challenging to obtain compared to simpler measures such as wing length and hand‐wing index. This study aimed to enhance accessibility to existing wingspan and wing area data by compiling measurements from 25 literature sources, in addition to unpublished data. The dataset covers 856 species across 95 families and 28 orders. Although the inclusion proportion varies widely among orders, ranging from 0% to 100%, this initial dataset forms a foundation for a more comprehensive database on avian wing morphology. The complete dataset for this abstract published in the Data Paper section of the journal is available in electronic format in MetaCat in JaLTER at http://db.cger.nies.go.jp/JaLTER/metacat/metacat/ERDP-2024-04.1/jalter-en. The dataset will be updated continuously, with the latest version available on figshare in CSV and Microsoft Excel formats (https://doi.org/10.6084/m9.figshare.23537892.v2).

Reseña del uso del lenguaje de programación Python en el Desarrollo de Software

Introduction: This article provides a concise and clear definition of the Python programming language, highlighting its key features and its significance in the current landscape of software development. Python, renowned for its simple and readable syntax, has gained popularity due to its versatility and ease of use. Objective: The primary objective of this study is to answer the question: What role does Python play in current software development and what are its future prospects? This analysis aims to understand the impact of Python on the software industry and assess how its evolution may influence future technological trends. Methods: To address this objective, a literature review was conducted to gather relevant information about Python. Rigorous selection criteria were established to ensure the quality and timeliness of the consulted sources, and a data analysis was carried out that combined qualitative and quantitative approaches. Results: The article summarizes the main advantages and disadvantages of Python, as well as exploring its various areas of application. Python offers advantages such as ease of learning and a robust ecosystem of libraries, but it also presents disadvantages such as slower execution speed compared to other languages. Conclusions: In conclusion, the study synthesizes the results obtained, evaluates the current use of Python in software development, and provides practical recommendations for developers, highlighting the importance of staying updated with the latest versions and tools available.