Creation Of Software Research Articles

Feasibility of Low-Code Development Platforms in Precision Agriculture: Opportunities, Challenges, and Future Directions

Low-Code Development Platforms (LCDPs) empower users to create and deploy custom software with little to no programming. These platforms streamline development, offering benefits like faster time-to-market, reduced technical barriers, and broader participation in software creation, even for those without traditional coding skills. This study explores the application of LCDPs in Precision Agriculture (PA) through a systematic literature review (SLR). By analyzing the general characteristics and challenges of LCDPs, alongside insights from existing PA research, we assess their feasibility and potential impact in agricultural contexts. Our findings suggest that LCDPs can enable farmers and agricultural professionals to create tailored applications for real-time monitoring, data analysis, and automation, enhancing farming efficiency. However, challenges such as scalability, extensibility, data security, and integration with complex IoT systems must be addressed to fully realize the benefits of LCDPs in PA. This study contributes to the growing knowledge base in agricultural technology, offering valuable insights for researchers, practitioners, and policymakers looking to leverage LCDPs for sustainable and efficient farming practices.

Design of Web-Based Inventory Accounting Information System at PT XYZ

PT XYZ is a company engaged in the retail trade of large and small clothing, and it is located in the city of Bandung. As a trading company, PT XYZ needs to utilize information technology in managing warehouse inventory, which is no longer manual management, namely recording in paper media, which will be susceptible to data discrepancies. The web application here is interpreted as an inventory application through a display that includes goods to be stored in the warehouse and product transactions that come in and out. The research method used here is the interview and observation method. Software creation is carried out with a waterfall model consisting of the following stages: system planning analysis, system analysis, design, implementation, and maintenance. In the object of system modeling with visual data flow diagrams and flowcharts. The results of this study produce web-based software using PHP as a programming language with MySQL as a database and visual code for its program editor. Through this system, it is expected to facilitate work and can be used at any time. This inventory application can be a benchmark for managing incoming and outgoing goods. Another benefit is that this web-based application aims to control the stock of goods at any time.

Democratizing Code: How GPT and Large Language Models Are Reshaping the Landscape of Software Creation

Democratizing Code: How GPT and Large Language Models Are Reshaping the Landscape of Software Creation

Creation of software based on spectral analysis for stegoanalysis of digital audio documents

Creation of software based on spectral analysis for stegoanalysis of digital audio documents

Intellectual Property in the Conditions of Digital Transformation of the Economy

A comparative analysis of the fulfillment of the necessary conditions for implementing the digital transformation of the economy using intellectual property in the world and in the Republic of Belarus was carried out. It has been established that in order to implement the digital transformation of the economy, it is necessary to fulfill two conditions directly related to intellectual property: the development of software and the availability of an instrument fleet, determined by patents for inventions in the field of information and communication technologies. It is concluded that Belarus has significant potential in the field of software creation. A noticeable lag in the Republic in terms of creating an instrument base for information and communication technologies has been revealed, which is confirmed by the small number of patents in the field of these technologies and in the field of artificial intelligence received by national applicants. The main directions for the development of digital transformation of the national economy in terms of intellectual property are formulated.

Puerperium Software for Adolescent Care

This study describes the creation and development of the PUERPERIUM software, which utilizes the General Comfort Questionnaire translated into Brazilian Portuguese and adapted for postpartum adolescents. The software development process followed five steps: (1) requirements elicitation, involving the extraction of functionalities and identification of quality attributes such as usability, reliability, security, and availability; (2) definition of the software project and architecture, including the selection of technologies such as programming languages and services; (3) software implementation; (4) validation, verification, and testing; and (5) deployment. The software development began with identifying the necessary requirements, followed by designing the architecture consisting of the server layer and visualization layer. During implementation, the integration of the General Comfort Questionnaire and the selected technology was achieved. Key features such as authentication screens, a patient grid, instrument completion forms, and reporting tools were developed. The software's logo and overall layout were also designed. Subsequent phases involved validating the software’s appearance, usability, and functionality. The complete implementation will include making server layer elements available online and providing a beta version of the visualization layer on a public platform. The software aids nurses in efficiently and systematically assessing the comfort levels of postpartum adolescents, thereby facilitating care aimed at promoting comfort.

Quality Management in Software Development

Introduction. The scientific literature examines various approaches to quality management in information technology (IT). The issues of identifying and correcting defects are worked out, and the possibilities for minimizing them are shown. There are materials on quality management in complex engineering processes. At the same time, there is no detailed description of quality management at each stage of the IT product life cycle, including testing. It should be noted that the coordination of software releases is closely related to quality management, but this process is rarely or fragmentarily considered in the literature. Additionally, the interprocess communication is not taken into account; therefore, there is no comprehensive understanding of quality management in the creation, testing and refinement of software. This study is designed to fill these gaps. The research is aimed at presenting a comprehensive approach that links the theory, practice and methods of software quality management.Materials and Methods. Theoretical and applied literature on the subject were studied, analyzed, and reviewed. The author's professional background in managing the quality of IT products was used. The practices of global suppliers of digital goods and services were taken into account. The author has used these materials and methods to study in detail the issues of software testing and code deployment.Results. A comprehensive model of quality management in software development is elaborated, described and presented in the form of a diagram. Its interconnections with the project management model and the product life cycle, namely: analysis, design, development, testing, deployment, and support, are identified. Principles of quality management at each of these stages are specified. The processes and checks during code deployment are systematized and presented in the form of a diagram. Their features are shown in three environments: during development, testing, and production.Discussion and Conclusion. The algorithm allows quality experts to build the sequence of actions to eliminate detected defects in the future, understand the situation when it is possible (or impossible) to deploy code, and determine the moment when the software should be transferred to the user. In addition, the proposed scheme can be the basis for automating code deployment. The solution will reduce development time. As a result, the product will enter the market faster, which will speed up the payback of costs. The implementation of the model created within the framework of this scientific work into the production practice of IT companies presupposes strategic changes. Their implementation requires significant time and other resources; therefore, the overall transformation process should be divided into parts. The proposed approach is adaptable to the needs of various organizations and products. You can work with individual components to create an optimal plan for achieving quality management goals.

Virtual Reality Software: empowering tourism marketing through technology

ABSTRACT The dynamic evolution of consumer demands in the tourism sector necessitates continual adaptation and innovation in marketing strategies to counter increasing competitiveness. To address these shifts, emerging technologies play a pivotal role. This study focuses on the investigation of Information and Communication Technologies (ICTs) in shaping tourism marketing, culminating in the development of Tour View 360° software. Employing qualitative research methods, including bibliographical analysis and technological prospecting, the study identified prerequisites for the software's creation. Leveraging the Scrum framework for its adaptability, the software was meticulously designed using C# programming language with Unity 3D software. Findings reveal the early-stage adoption of interactive virtual reality technologies for promoting tourism. Nonetheless, Tour View 360° emerges as an innovative tool. The study comprehensively details the software's attributes, functionalities, interfaces, requirements, usability configurations, and final modeling, offering insights into ICT integration in enhancing tourism marketing strategies.

Separate and Reassemble: Generative AI through the lens of art and media histories

AI image generation represents a logical evolution from early digital media algorithms, starting with basic paint programs in the 1970s and advancing to sophisticated 3D graphics and media creation software by the 1990s. Early algorithms struggled to simulate materials and effects, but advances in the 1970s and 1980s led to realistic simulations of natural phenomena and artistic techniques. Generative AI continues this trend, using neural networks to combine and interpolate visual patterns from extensive datasets. This method of digital media creation underscores the modular and discrete nature of computer-generated imagery, distinguishing it from traditional optical media.

Design specifications and capabilities of a 3D simulation software for clinical education of physiotherapy students in the neurology department

IntroductionIn this revolutionized era, thanks to cutting-edge technological breakthroughs like 3-dimensional (3D) computerized environments, physiotherapy trainers can improve their knowledge and confidence by using such training tools. Hence, there is room for developing these technologies for training medical students to expand their skills and expertise. This study aims to identify the design requirements and key functionalities of a 3D simulation software for the clinical education of physiotherapy students in neurology departments.MethodFirst, by carefully reviewing neurological books, scientific articles, curriculum, and medical records, and consulting with experts, a scenario was compiled. In the next step, a researcher-developed questionnaire was designed. Then, experts’ opinions were considered to confirm the validity and reliability of the questionnaire. The designed questionnaire was distributed among several neurological physiotherapists. Finally, the information elements, contents, and functional capabilities of the 3D software were determined by analyzing the data obtained from the questionnaire.FindingsThe main components for the design of physiotherapy educational software were identified based on the findings of the literature review, curriculum analysis, and medical record review. A survey of physiotherapy professors was conducted using a questionnaire created by the researcher in order to enhance the capabilities of simulation software and ascertain its primary functions. Following an analysis of the data from the distributed questionnaire, 37 essential features and contents have been proven to be more crucial than the rest for the creation of 3D simulation software. As a result, the essential and fundamental needs for the patient’s training in reading their medical records and performing muscle strength assessments were recognized and extracted. Based on these findings, a researcher-developed scenario for the various real cases was then established. In the patient’s medical record reading scenario, the student is required to read the patient’s record in text format. Similarly, in the section on cranial nerves, pictures are utilised to reinforce the student’s assessment skills in addition to textual content. Together with the audio and pop-up texts, the simulated 3D environment also offers training for the assessment of muscle strength.ConclusionAs an educational tool, this software can enhance students’ learning and assist in addressing the drawbacks of conventional teaching methods like lectures and hospital visits.

A comparative study of four combined methods for planning access to the anterior acetabular column for nail placement

To investigate global optimisation of anterior acetabular column pinning channels can be achieved based on large density point cloud data. Data were collected on the CT scans of the normal pelvis in 40 adults from January 2022 to January 2023, including 22 males and 18 females, aged 20 to 54 years old. Medical imaging data from three of the samples were selected for experimental study. In planning access for anterior acetabular column pinning, to address the issue of whether the current CAD planning methods were advanced or not, four combinations of the same point cloud acquisition channels, different directional line creation software, and the same 3D design and virtual experiment software were proposed: Mimics+Imageware+UG, Mimics+3DReshaper+UG, Mimics+ZEISS Quality Suite+UG and Mimics+Design X+UG, and directional lines created based on the centroid point set and solid point cloud of the secondary pruning model, respectively, and it applied to the planning of the left anterior column pinning channel of the three acetabular samples. The maximum internally connected cylinder without acetabular socket and pubic bone penetration was used as a safe passage for nailing of the anterior acetabular column to evaluate the advancement of each method. The fitting effect of the directional line was better than that of the unnoised solid point cloud when the central point set with obvious relevant features was selected as the sample points;and the combination of Mimics+Imageware+UG and Mimics+3DReshaper+UG could efficiently and stably obtain the desirable planning results when planning with the central point set, respectively, in the three acetabular samples 1, 2, 3. The maximum internal joint circle diameters obtained in samples 1, 2, and 3 were 10.35 mm, 9.62 mm, and 9.24 mm;and when the directional lines were based on the solid point cloud the combined methods of Mimics+ZEISS Quality Suite+UG and Mimics+Design X+UG were not applicable;whereas the Mimics+3DReshaper+UG the solid point cloud denoising planning method could stably obtain the maximum value of the safe channel for nail placement, and the maximum internal joint circle diameters obtained in acetabular samples 1, 2, and 3 are 10.66 mm, 10.96 mm, and 9.48 mm, respectively. It is recommended that the nail placement channel planners use robust Mimics+Imageware+UG or Mimics+3DReshaper+UG centre point set planning method, and if there is enough time, it is recommended to use the solid point cloud denoising planning method of Mimics+3DReshaper+UG in order to obtain the maximum value of safe channels for nail placement.

Методическое сопровождение аудита консолидированной финансовой отчетности в условиях обеспечения технологического суверенитета Российской Федерации

The article describes problems and presents solutions in the field of methodological support for auditing. The goal is to consider the key points of the methodology for conducting an audit of the consolidated financial statements with the designation of innovations to ensure the technological sovereignty of the Russian Federation. Recommendations and procedures that should be created based on big data technology are presented. The need to adopt and implement innovations in training, the creation of domestic software for auditors, and a national infrastructure for processing databases is explained.

Dynamical behaviour and meta heuristic optimization of a hospital management software system

The growing demand for easily available healthcare in recent years has fuelled the digitization of healthcare services. The Hospital Management System (HMS) software stands out as a comprehensive solution among the software systems and tools that hospitals and clinics are developing in tandem with this trend. In order to effectively manage many facets of hospital operations, in this paper, we propose an approach for investigating software of this kind. Thus, we characterise the HMS software as a unique sort of batch arrival retrial queueing system (QS) that can handle both ordinary and priority patient demands. Furthermore, it permits patient resistance (balk) and departure (renege) in specific circumstances. The proposed model is additionally deployed within the framework of Bernoulli working vacation. The supplementary variable technique (SVT) has been utilised to obtain the necessary results. ANFIS, a soft computing tool, is used to validate the analytical results as well. Finally, this study seeks to enhance the cost-effectiveness of software creation by employing four unique optimization methods, aiming to achieve optimal efficiency in resource utilization.

Regulation of elective surgeries in the Unified Health System: a bibliometric analysis of waiting list management in Brazil

This study aims to analyze the bibliometric profile regarding the regulation of elective surgeries in the Unified Health System in Brazil from 2011 to 2021. Bibliometric analysis study that selected and evaluated scientific articles with full texts, in Portuguese, available free of charge in electronic format , through the keywords: Elective surgical procedures, Waiting lists and Unified Health System, published between January 2011 and April 2021, in the VHL, Web of Science and Scopus databases. Programs were used for the selection/export and construction of the portfolio, such as Rayyan Software, JabRef®, Microsoft Excel® software and VOSViewer® Software for image creation. To generate the InOrdinatio index value, CiteScore 2021 and Google Scholar were used. The most relevant articles, authors and journals that published the most on the topic were statistically described. This study can contribute to planning improvements to the current regulatory system, by evaluating the potentialities and weaknesses of this System and creating new management tools, in order to solve currently existing problems.

Artificial intelligence for screening and early diagnosis of pancreatic neoplasms in the context of centralization of the laboratory service in the region.

Objective. Determination of the optimal machine learning model for the creation of software for screening and early diagnosis of pancreatic neoplasms in the context of centralization of the laboratory service in the region. Material and Methods. The clinical material was based on 1254 patients who were examined in the centralized laboratory of the Volgograd Consultative and Diagnostic Polyclinic No. 2. Of these, 139 were subsequently operated on at the Volgograd Regional Clinical Oncology Dispensary for pancreatic malignancies. In 65 (46.7 %) cases, distal pancreatic resection was performed, and in 74 (53.3 %) cases, pancreaticoduodenectomy was performed. In 28 (20.1 %) cases, at the time of tumor detection, patients did not have clinical symptoms. Statistical processing of the data was carried out using the Python programming language. Five different classifiers were used for machine learning. Results. In the course of factor analysis, 11 parameters were selected from 62 laboratory blood parameters, the dynamics of changes in which should be specifically assessed at the stages of screening and early diagnosis of pancreatic neoplasms. A comparative assessment of machine learning techniques showed that the best option for creating the appropriate software was Hist Gradient Boosting (diagnostic accuracy 0.909, sensitivity 0.642, specificity 0.965, negative predictability 0.928, positive predictability 0.794, F1 0.828, logistic regression loss function 0.352, area under the ROC curve 0.89). Conclusion. The creation of software based on the selected algorithm will make it possible to clarify the real effectiveness of machine learning on a larger population of patients with pancreatic neoplasms.

FORECASTING THE SUCCESS OF EDUCATION SEEKERS FROM A SEPARATE EDUCATIONAL COMPONENT BASED ON THE RESULTS OF THE PRELIMINARY MASTERY OF SUBJECT COMPETENCIES

The paper examines the main concepts related to the quality of education in general and the assimilation of educational material by higher education seekers. The task of predicting a seeker's grade in any discipline is formulated with data on his assimilation of program learning outcomes that also correspond to this discipline. The available specialized information system of own development is described which applies a number of methods (multivariate linear regression, artificial neural networks, k-nearest neighbors) and determines which method will be the most effective for the analysis of specific data. It is noted that during the further improvement of the quality system of knowledge assessment, it is important to determine at what level the student of education possesses the acquired competences, i.e. to calculate the success of seekers in terms of general and professional competences and program learning outcomes, determined by the standards of higher education and educational programs developed on their basis. The developed algorithm for calculating the success rate of higher education applicants in terms of program learning outcomes is presented; according to this algorithm, data were prepared on the acquisition of software creation competencies by 78 seekers of the first level of higher education of the educational and professional program Intelligent Decision Support Systems specialty 124, Systems analysis, of the DSEA. To solve the problem of forecasting by the method of artificial neural networks, the programming and data analysis language R is proposed. A script for finding the optimal neural network architecture is created. It was found that the best result (correlation is 0.9599, average absolute reduced error is 0.1132, percentage of correctly predicted points on the Ukrainian scale is 79.2) provides a perceptron with two hidden layers and five neurons in each one. This network was applied to predict the success of the new academic group: correlation is 0.923, the average absolute reduced error is 0.0654, the percentage of correctly predicted points on the Ukrainian scale is 82.4. The obtained results can be used to assess the quality of the structural and logical scheme of the EPP and in the work of the department during the analysis of seekers' success, etc.

Innovative Design of Marketing Ecosystems

This study is devoted to the issues of ecosystems and the ecosystem approach. The formation and use of marketing ecosystems can simplify both the processes of transformation of technological patterns and the interaction of different types of business models of enterprises. A separate focus is on marketing ecosystems as one of the important innovations of Industry 5.0. The transition from Industry 4.0 to Industry 5.0 is accompanied by the creation of the necessary software and algorithmic base of quantum computing, introduction of technologies for visualisation of management decisions, development of neuromorphic models of enterprise architecture, digital twins of business processes.The purpose of the study is to develop approaches to designing a marketing ecosystem within the framework of Industry 5.0 and Industry 4.0, which is necessary for building effective interactions between innovative enterprises of different business spheres. The article considers the stages of innovative design of new marketing ecosystems, the result of which is the end-to-end integration of information resources of their member enterprises, which is necessary for the consolidation and synchronisation of structured and unstructured data on different business models of companies and the organisation of predictive analytics mechanisms. In the course of the work, the method of scientific analysis of literature on the research problem was applied, and the empirical experience of the authors of the article was used. The results of the study will be useful to all managers of innovative companies as well as the heads and employees of marketing departments of these companies.

AI Based Chatbot: A Case Study Afghanistan Healthcare Services Mental Health Disorder

Artificial intelligence increasingly integrates our daily lives with the creation and analysis of intelligent software and hardware, called intelligent agents. Intelligent agents can do a variety of tasks ranging from labor work to sophisticated operations. A Chatbot is a typical example of an artificial intelligence system. For developing artificial intelligence Chatbot, we have implemented encoder-decoder attention mechanism architecture memory cells, TFIDF (term frequency-inverse document frequency) algorithm and LLM (Large Language Module). To conduct this research, mixed methods research could involve combining both qualitative and quantitative methods to provide a more comprehensive understanding of the research topic. Survey utilized as the main methods for collecting the primary data and reviewed the existing literature for collecting the secondary data in this research. The data was collected from 18 participants, including medical doctors, patients, lecturers and university students in Afghanistan. Additionally, secondary data was obtained through a review of literature from other countries that have faced similar situations. Moreover, the analysis reveals a widespread belief among respondents that the implementation of AI based Chatbot for Afghanistan healthcare service in mental health disorder will contribute to reduce illness in Afghanistan.

Navigating Narrative Frontiers: Influence of Generative AI on Creative Literature

Navigating Narrative Frontiers: Influence of Generative AI on Creative Literature

Exploring the Application of Drone Technology in the Construction Sector

Drone Technology is being used by an increasing number via the development area to improve some of the elements of its operations. Drones have unique competencies that can grow construction projects effectiveness, protection, and affordability. This study examines how drones are presently being used inside the construction zone and the way they could affect construction site online surveying, project control, development monitoring, and safety inspections. The study additionally addresses the difficulties and capacity benefits of incorporating the drone era into production methods. The drone era has a variety of capabilities to change traditional techniques inside the production industry and decorate challenge outcomes. Drone-era software creation has become a recreation-changing trend with many benefits, from more suitable productivity to safer and greater sustainable operations. Drones are being used for some purposes, which include environmental tracking, site online surveying, inspections, and development tracking. This study examines the several uses of drones within the construction sector and talks about how this technology may affect the sector going forward.