Software Support Research Articles

Implementation of a Feedback System for Myoelectric Prostheses of the Upper Limb

The feedback system is presented in the aspect of its software and hardware support, necessary for the synthesis of such an information system as applied to a myoelectric prosthesis. The most successful configurations of sensors, micro­controllers, actuators from the standpoint of software and hardware implementation are defined and designed. Approaches to the installation and location of tactile actuators on the surface of the hand are designed, which determine the optimal number of elements depending on the anatomical features of the stump. Based on this approach, an information system for training the user to work with myoelectric prostheses was created, using virtual reality technology.

Reconstructing Geometric Models from the Point Clouds of Buildings Based on a Transformer Network

Geometric building models are essential in BIM technology. The reconstruction results using current methods are usually represented using mesh, which is limited to visualization purposes and hard to directly import into BIM or modeling software for further application. In this paper, we propose a building model reconstruction method based on a transformer network (DeepBuilding). Instead of reconstructing the polyhedron model of buildings, we strive to recover the CAD modeling operation of constructing the building models from the building point cloud. By representing the building model with its modeling sequence, the reconstruction results can be imported into BIM software for further application. We first translate the procedure of constructing a building model into a command sequence that can be vectorized and processed by the transformer network. Then, we propose a transformer-based network that can convert input point clouds into the vectorized representation of the modeling sequences by decoding the geometry information encoded in the point features. A tool is developed to convert the vectorized modeling sequence into a 3D shape representation (such as mesh) or file format that other BIM software supports. Comprehensive experiments are conducted, and the evaluation results demonstrate that our method can produce competitive reconstruction results with high geometric fidelity while preserving more details of the building reconstruction.

Artificial Intelligence as a Catalyst for Management System Adaptability, Agility and Resilience: Mapping the Research Agenda

Artificial intelligence (AI) is an increasingly notable presence in society, industries, and organizations, making its necessity felt more in managerial decisions and practices. This paper aims to outline the importance of the topic related to the increase in the adaptability, agility, and resilience of the management system as a result of AI integration, resorting to a bibliometric type of research. A total of 107 papers from the period 2007–2024 exported from the Web of Science Core Collection database were analyzed, with support of Biblioshiny software. This topic is proving to be one of heightened global interest, being comprehensively addressed by world leaders in AI research and technologies such as the United States, China, Great Britain, France, India, and beyond. Collaborative relationships established between geographic regions are captured, noting the power and expansion of the theme on all continents of the globe. Likewise, its thematic and strategic evolution is characterized as a surprising one, managing to incorporate and relate concepts with a strong technical and IT character such as feature extraction, machine learning, reinforcement learning with concepts of a managerial nature as supporting customer-tailored interaction, employee skills development, company productivity, and innovation.

Computational Chemistry Study of pH-Responsive Fluorescent Probes and Development of Supporting Software.

This study employs quantum chemical computational methods to predict the spectroscopic properties of fluorescent probes 2,6-bis(2-benzimidazolyl)pyridine (BBP) and (E)-3-(2-(1H-benzo[d]imidazol-2-yl)vinyl)-9-(2-(2-methoxyethoxy)ethyl)-9H-carbazole (BIMC). Using time-dependent density functional theory (TDDFT), we successfully predicted the fluorescence emission wavelengths of BBP under various protonation states, achieving an average deviation of 6.0% from experimental excitation energies. Molecular dynamics simulations elucidated the microscopic mechanism underlying BBP's fluorescence quenching under acidic conditions. The spectroscopic predictions for BIMC were performed using the STEOM-DLPNO-CCSD method, yielding an average deviation of merely 0.57% from experimental values. Based on Einstein's spontaneous emission formula and empirical internal conversion rate formulas, we calculated fluorescence quantum yields for spectral intensity calibration, enabling the accurate prediction of experimental spectra. To streamline the computational workflow, we developed and open-sourced the EasySpecCalc software v0.0.1 on GitHub, aiming to facilitate the design and development of fluorescent probes.

Pilot outcomes of algorithmic decision support software for intravitreal treatment intervals

Pilot outcomes of algorithmic decision support software for intravitreal treatment intervals

Pilot outcomes of algorithmic decision support software for intravitreal treatment intervals

Aims/Purpose: Timely intravitreal therapy to ensure best outcomes can be difficult to achieve owing to large numbers of patients needing treatment. A protocol‐driven approach to assessment would help train non‐medical staff make accurate decisions regarding treatment and treatment intervals. We develop algorithmic decision support software and present initial analysis comparing software decision with ophthalmologist for treatment interval in wAMD, DMO and RVO patients.Methods: Ethical approval was obtained. Wet AMD, DMO and RVO patients with more than one year of treatment were recruited, seen as usual by an ophthalmologist. Visual acuity and OCT values were used to calculate two parameters: treatment response and comparison with normality. The algorithm outputs the number of weeks recommended before next treatment. This was compared with ophthalmologist decision.Results: There was excellent agreement of algorithm recommendation in comparison with ophthalmologist decision. Overall there was exact agreement in 118/225 (52%) of cases and 201/225 (89%) were within 2 weeks of each other. When assessed prospectively in cross sectional single visit, 15/26 wAMD showed exact agreement, 23/26 within 2 weeks. For DMO 14/26 were in exact agreement, 25/26 within 2 weeks and RVO 18/26 exact agreement, 25/26 within 2 weeks. Longitudinal visits over 3 appointments 27/30 wAMD, 25/30 DMO, and 28/30 RVOs are within 2 weeks of each other. Algorithm decision recommendations outside 2 weeks were shorter treatment intervals than ophthalmologist decision.Conclusions: The decision support algorithm shows excellent agreement with ophthalmologist treatment decisions for wAMD, DMO and RVO. The tool may be a useful aid for trained non‐medical staff working in injection clinics. We are working on further improvement in agreement by programming trend‐based outcomes.

Design and Development of Decision Support System Software for Digital Record Creation and Reporting in Transfer Centers

Within the scope of the logistics sector, records kept manually or via Excel for situations such as vehicles, transported goods, cargo and barcodes that do not comply with the procedure in transfer centers cause data loss and reporting difficulties and reduce operational efficiency. This is one of the biggest problems facing the industry. This brief paper discusses the design and development of software that provides digital record creation, storage and reporting in order to prevent this. The digital minutes system developed within the scope of the project automates the functions of vectorizing and classifying minute texts by using text mining and machine learning algorithms. The artificial intelligence-supported classification model was evaluated with accuracy, F1 Score, Sensitivity and Sensitivity metrics, and the system aims to provide a user-friendly decision support software by making fast and accurate classification. The digital record system improves cost and risk management by providing early detection of operational errors, instant reporting and retrospective analysis.

Mango solar dryer prototype design with temperature and humidity control system with bluetooth monitoring

Mango is a fruit that is produced in the southeast of Mexico. To preserve the product, it is necessary to keep it refrigerated and this increases the sales price due to the high electricity consumption. An alternative to taking advantage of this fruit is to dehydrate the pulp, taking advantage of This way the product is not wasted. There are solar dryers where the fruits do not require electrical energy and their conservation is at a very low cost. In this document, the implementation of a project to dry the mango fruit taking advantage of solar energy is presented with evidence so that its temperature and humidity can be monitored via Bluetooth. For this purpose, sensors were adapted with the support of hardware and software. used an Arduino uno board. In the end it is shown that the project has been functional, being an alternative in reducing costs, drying and efficiency.

Development of Mathematical Support and Software for Ballistic Analysis and Optimization of Active-Missile Projectile Parameters

The paper presents the results of developing mathematical and software support for internal and external ballisticsmodelling, as well as optimizing the parameters of an active-reactive projectile. A complex mathematical model of active-reactive projectile ballistic analysis includes the problem of external ballistics, the problem of internal ballistics inside the gun barrel and the problem of internal ballistics of a solid-fuel jet engine. The problem of active-reactive projectile parameteroptimization is to increase the flight range with respecttomotion stabilitycondition along the entire trajectory. Based on the mathematical model of ballistic analysis, the algorithms for solving a multi-criteria problem of active-reactive projectileparameteroptimization have been developed. The developed software package includes a block of calculation modules implementing mathematical models and computational algorithms, a database of projectile parameters and simulation results, a block for visualization the computational experiment results in the form of diagrams and tables. The software package can be used in the design and optimization of the projectileparameters of artillery systems implementing the active-reactive throwingprinciple. The results of mathematical modeling and optimization of parameters are considered using the example of the designed active-reactive projectile for the 152 mm artillery system. To improve the projectilestability on the trajectory during jet engineoperation, it is proposed to install ribs at an angle to the projectile axis on the inner surface of the nozzle so as to create extra torque. Based on the developed model, the optimal characteristics of firing an active-reactive projectile of caliber 152 mm are determined. The results of internal and external ballisticsproblem solutionfor an active-reactive projectile obtained by means ofthe software package for ballistic process modeling are presented. The main problem of internal ballistics inside the gun barrel, the problem of internal ballistics of a solid-fuel jet engine, the direct problem of external ballistics of an active-reactive projectile and the study of the projectile motion stability along the trajectory are solved. Optimal parameters of internal and external ballistics, providing the maximum firing range of an active-reactive projectile with respect toitsmotionstability along the entire trajectory, are found.

Применение параметрических критериев однородности дисперсий в условиях нарушения стандартных предположений

When analyzing measurement series in various applications, it becomes necessary to ensure that the scattering characteristics of the measured quantities have not changed over time, or that the accuracy of measurements carried out by different laboratories in similar tests meets the necessary requirements. For these purposes, it is advisable to use various k-sample parametric criteria for testing hypotheses about the homogeneity of variances (about the equality of variances). The prerequisite for the possibility of using parametric criteria is that the analyzed samples belong to normal distribution laws, which is not always the case. When the assumption of normal distribution of statistics is violated, parametric criteria usually change significantly, which excludes the possibility of using classical results when testing hypotheses. The best parametric tests have a significant advantage in power over nonparametric tests. This advantage is usually retained when the standard assumption of normality is violated. The paper shows how the distributions of parametric test statistics change under conditions of violation of the standard assumption. It is shown that using simulation modeling based on the Monte Carlo method and with appropriate software support, it is possible to find the distributions of the statistics of the applied criteria under non-standard conditions corresponding to specific applications. The use of the results of such modeling makes it possible to make correct statistical conclusions based on the criteria used. The methodology of applying parametric criteria of homogeneity of variances under conditions of violation of the standard assumption is considered. The method involves, at the first stage, testing the hypothesis about the belonging of the analyzed samples to normal laws using a set of special criteria. In case of a negative result, at the second stage a law is selected that describes the combined sample. At the third stage, using the results of the modeling under this law, a conclusion is formed based on the applied criteria. Examples of the implementation of the methodology within the framework of the developed software system are given.

Entrepreneurial intention and innovation among students: A bibliometric analysis 2014–2024

The objective of this study is to analyze the existing literature and highlight significant trends in the area of entrepreneurial intention and innovation among students. The data employed in this analysis were sourced from the Scopus database, covering 361 publications in English over the last ten years (from 2014 to 2024, as of the survey conducted on September 10, 2024). The method employed is bibliometric analysis with the support of the VOSViewer software. The findings show that the topic of entrepreneurial intention and innovation among students is a rather interesting subject, which has been widely published in reputable journals, particularly in the fields of education, training, and entrepreneurship. This topic has been extensively researched in Asian countries, with China standing out as the top contributor in terms of the number of publications. Through bibliometric analysis, this study has also identified four main research themes related to the topic of entrepreneurial intention and innovation among students. They are: (1) the effect of individual student characteristics on entrepreneurial intention; (2) the role of education and innovation in shaping students’ entrepreneurial intentions; (3) utilizing the theory of planned behavior to explore factors influencing social entrepreneurial intentions among students in higher education; (4) the influence of entrepreneurship education on the development of students’ entrepreneurial mindset and actions. Furthermore, this study has outlined nine promising future research directions that aim to enhance both the quantity and quality of studies on students’ entrepreneurial intentions and innovation. AcknowledgmentThis study is a product of the doctoral dissertation project carried out under decision No. 5125/QD-ĐHDT dated November 30, 2021, from Duy Tan University, Vietnam.

Software Support for Critical-Thinking Development in Primary School Children

The article describes the process of organizing an empirical study of the problem of state anxiety self-regulation in future psychologists in the context of learning activity. It is determined that such a process was introduced through the organization of a psychological experiment. The experiment was implemented by four successive stages, detailed in the article: preparatory, organizational, basic, and final. It was found that such organization of the process of the empirical research contributed to the achievement of the goal, problem solution and verification of the formulated experimental hypotheses.

Web Technology Innovations and Their Impact on Georgia’s Labor Market

The development of modern web technologies is associated with unprecedented changes in the digital world around us. This fact determines the existence of diverse software support and technologies for creating websites. The web technology ecosystem is developing fast, driven by emerging technologies, changing user expectations, and the ongoing digital transformation across industries. This article explores the most significant trends reshaped web development in the latest period of time, highlighting the technological innovations that are redefining how developers create, deploy, and optimize digital experiences. From advances in frontend frameworks to the integration of artificial intelligence, serverless architectures, and enhanced performance optimization techniques, the current web technology landscape represents a dynamic intersection of innovation, efficiency, and user-centric design. The paper also discusses the latest trends in web technologies in relation to the Georgian labor market.

The Influence of Leadership Style and Work Discipline on Employee Performance Through Work Motivation as a Mediating Variable at PT. Urban Beauty Indonesia

With work motivation acting as a mediating variable, this study examines the influence of leadership style and work discipline on employee performance at PT. Urban Beauty Indonesia. The research follows a quantitative descriptive approach. The study population consists of all 118 permanent employees at PT. Urban Beauty Indonesia, using a saturated sample technique. Data analysis was conducted using Partial Least Square (PLS) and Structural Equation Modeling (SEM) with the support of SmartPLS software. The results indicate that work motivation positively and significantly affects leadership style, while work discipline positively and significantly influences work motivation. Leadership style and work motivation both have a positive and significant impact on employee performance. Furthermore, work motivation mediates the positive and significant effects of leadership style and work discipline on employee performance at PT. Urban Beauty Indonesia. To enhance employee productivity, PT. Urban Beauty Indonesia could offer time and resource management training, helping employees prioritize tasks and maximize available resources. Additionally, implementing a structured professional development program could assist employees in identifying career advancement opportunities within the organization.

Audit Quality of Financial Statements of Commercial Banks, Whether or not There is a Difference in Audit Quality Provided by Big4 and Non-Big4 Audit Firms

This study is conducted for the purpose of investigating the influence of factors on the audit quality of financial statements of Vietnamese commercial banks. Also consider whether or not there is a difference in the quality of audits provided by Big4 and Non-Big4 auditing firms from the perspective of independent auditors. Data was collected from 226 respondents working in 20 independent auditing firms in Vietnam (4 Big4 auditing firms and 16 Non-Big4 auditing firms), holding positions such as audit firm managers, audit team leaders and auditors, who are directly involved in the audit. Sampling was conducted selectively from April 2023 to August 2023. By quantitative research method, with the support of SPSS22 software. The research results show that the factors that have an important influence on the audit quality of financial statements of Vietnamese commercial banks in descending order include: in-depth capacity of auditors; characteristics of commercial banks; time pressure; audit methods; quality control of auditing enterprises and legal systems; auditor independence; standard compliance; working conditions of auditing enterprises; size and reputation of auditing enterprises. However, the results of the study found no difference in the audit quality of financial statements of Vietnamese commercial banks between auditors of Big-4 and Non-Big-4 auditing enterprises. Based on the research results, a number of recommendations are made to auditors and auditing companies to improve the quality of auditing financial statements of commercial banks in the coming time.

Benefits of Using Design Patterns on Microcontrollers in Implemented IoT Applications.

As part of our research for microcontroller software support, we have developed a modular framework that utilizes previously unimplemented architectural principles for developing applications on microcontrollers. These principles are still a privilege of enterprise and server applications. The paper describes the benefits of a new architectural approach to developing applications on microcontrollers and describes the most common application scenarios along with examples of IoT application development using a framework with design pattern architecture and SOLID principles. As a result, our framework supports developers in creating robust, adaptive, and scalable applications. It emphasizes a modular and clean design that increases development efficiency and enables easy deployment of new features or integration of new technologies, such as new types of sensors, upgraded development boards, or improved development tools and frameworks. The architectural concepts offered useful guidance for creating applications ready for future challenges and changing technology environments, especially in the IoT area.

Super‐Large Field‐of‐View, High‐Accurate and Real‐Time 3D Scene Reconstruction Based on Metasurface‐Enabled Structured Light

AbstractThree‐dimensional (3D) reconstruction based on structured light (SL) has wide applications in fields such as artificial intelligence, surveying and mapping, and precision manufacturing. An ideal 3D reconstruction system features both wide field‐of‐views (FOV), high‐accuracy and high‐speed reconstruction and ultracompact volume. However, these criteria have been achieved only partially with conventional SL techniques like optical projector and differentiate optical element, which will substantially limit their practical applications. In this study, an ultracompact SL and its 3D reconstruction system is designed and experimentally demonstrated, which exhibits super‐large FOV angles up to 210° × 210°, only 3.8‰ reconstruction errors, real‐time processing speeds up to 30 fps and SL dimensions as small as 0.3 mm × 0.3 mm. Specifically, the SL is realized with a resonant geometric metasurface, which can produce tens of thousands of random dots and project them into the whole 4π free space. The metasurface enabled SL is collaborated with a binocular stereoscopic camera and advanced 3D reconstruction algorism to form a practical 3D reconstruction system, which can provide robust hardware and software support for high‐accuracy and real‐time 3D scene reconstruction.

Improved clinical pregnancy rates in natural frozen-thawed embryo transfer cycles with machine learning ovulation prediction: insights from a retrospective cohort study

This study aims to develop physician support software for determining ovulation time and assess its impact on pregnancy outcomes in natural cycle frozen embryo transfers (NC-FET). To develop, assess, and validate an ovulation prediction model, three datasets were used: REI Ovulation Determination dataset (500 cycles) split into training (309), validation (90), and test (101) sets; the Documented Ovulation dataset (101 cycles) with confirmed ovulation (documented follicular rupture and LH surge); and the Clinical Pregnancy Rates dataset (515 NC-FET cycles), categorized into “Matched” and “Mismatched” based on alignment with the model’s ovulation determination. Pregnancy outcomes were compared between the groups. The ovulation prediction model exhibited 93.85% and 92.89% matching rates with the REI Ovulation Determination and Documented Ovulation datasets, respectively. In the Clinical Pregnancy Rates dataset, the Matched group (282 cycles) showed significantly higher clinical pregnancy rates than the Mismatched group (34.6% vs. 25.9%, p = 0.04) and similar results for patients under 37 (41.1% vs. 30.7%, p = 0.04). Logistic regression indicated lower pregnancy rates in Mismatched cases (odds ratio 0.67 for the general population, 0.63 for patients under 37). In conclusion, we introduce a highly accurate AI ovulation prediction model. Treatment cycles aligning with the model’s recommendations had significantly increased clinical pregnancy rates.

Care Needs of Patients with Chronic Cardiovascular Diseases from the Perspective of Nurses: A Qualitative Study

Background: Chronic cardiovascular diseases (CVDs) are a leading cause of death globally, making it essential to understand the comprehensive care needs of individuals living with these conditions. Nurses who also suffer from chronic CVDs offer a unique dual perspective, combining professional expertise with personal experience. Objectives: This study aims to explore the care needs of patients with chronic CVDs from the perspective of nurses who themselves live with the condition. Methods: A qualitative content analysis was conducted, with interviews carried out between November 2023 and March 2024, involving 23 nurses affected by chronic cardiovascular diseases in Tehran, Iran. Data were analyzed using Graneheim and Lundman’s approach to identify subcategories and categories related to patient care needs, with the support of MAXQDA v20 software. Results: The participants included 16 women and 7 men, with an average age of 45.6 ± 10.9 years. Sixteen participants held a bachelor’s degree, two had a master’s degree, and five held a doctorate. Analysis of the interviews led to the extraction of 782 primary codes, which were classified into five main categories: Receiving Care from a responsive system, capacity building for the patient, receiving multidimensional care, having a comprehensive support system, and utilizing new caregiving technologies. Conclusions: The findings emphasize the importance of a holistic, patient-centered approach that prioritizes effective communication, seamless access to care, and continuity post-discharge.

HOW CAN OPEN GOVERNMENT CONTRIBUTE TO GENERATING PUBLIC VALUE? INTEGRATIVE REVIEW AND PROPOSAL OF AGENDA FOR FUTURE RESEARCH

We examined the literature on public value in the context of open government to identify gaps and propose a research agenda. We adopted the review protocol proposed by Cronin, Ryan, & Coughlan (2008), which consists of five sequential steps. Two criteria were established to determine the studies included in the sample. The selection and access to the literature were carried out in two international databases, without establishing a time limit for the sample. The verification was carried out with the support of Mendeley software and the data were entered into an electronic spreadsheet so that they could be tabulated. After searching the databases, 16 studies were selected, analyzed and classified into four different categories. The results show a trend of research involving non-governmental entities in the context of member countries of the Open Government Partnership (OGP). This study has some limitations: the choice of search descriptors that may not have included all the studies that address the topic; and the interpretative bias of the authors of this study. The literature on public value in the context of open government was identified and reviewed, culminating in the proposal of a research agenda, with some avenues not yet explored by previous studies involving the topic.