Software Solutions Research Articles

Development and Implementation of a “Real Estate Web Application” for Modern Web Application

A real estate management system is one of the modern software solutions developed to keep up and improve on the management and operating process within the real estate industry. Real estate is one of the fastest-growing industries on a global level and thousands of properties are issued every day, which calls for effective automation in some property management activities. REMS has solutions to all these issues in the very complete system platform that encompasses various aspects of property management, such as placement, tenant management, tracking of finances, and scheduling of maintenance. All these are brought together by the most advanced technologies, namely cloud computing, artificial intelligence, and data analytics, when forming a strong and user-friendly system for the real estate professional. Generally, it provides a database core that allows instant access to information regarding properties which can make communication and collaboration between parties in the management of property ownership-owners, managers, tenants, and service providers-well easier. Its easy-to-use interface gives the user the ability to deal most efficiently with property listings, tenant information, rental payments, financial reports generation, and requests for maintenance. The main elements of the system include an intelligent listing module that enables real estate agents to give detailed descriptions, images, and pricing information about their property listings. Management of tenants through a specific module ensures effective onboarding while still regulating managerial management of rental agreements, rent collection, and other communications with tenants. REMS also incorporates a full-scale financial tracking component. In the case of rent calculation, it would further advance into generating invoices and track expenses and offer detailed financial reports.

Assessment of Packaging Materials for Bulk Packaging of Mustard

A study was conducted to develop effective bulk packaging solutions for mustard, focusing on testing various packaging materials with liners and analysing shelf life for export purposes. To maintain the quality of spices, it is crucial to have oxygen and gas barrier properties to preserve aroma. To address this, a novel liner combination has been introduced to evaluate its effectiveness in extending the shelf life of mustard. Mustard was packed in nine types of packaging materials selected based on sustainability aspects and subjected to accelerated climatic conditions (38±1°C and 90±2% RH) for six months. Physico-chemical parameters were measured in triplicate. Throughout the exposure period, moisture content and water activity in the mustard increased exponentially. Significant changes in colour, aroma, and microbial growth were observed in samples packaged in PP woven bags without liners and multiwall paper bags. However, no damage to the packaging materials was noted during transport testing. The maximum shelf life was recorded for mustard packed in PP woven bags with liners and multiwall paper bags with aluminium foil. Hence, the results indicated that exploring advanced liner combinations can significantly enhance the shelf life and maintain the quality of mustard.

Postharvest Management Techniques for Improved Shelf Life of Horticultural Crops: A Review

Postharvest management in horticulture is important for maintaining the quality, safety, and shelf life of produce, significantly impacting global food security and economic stability. This review explores critical advancements in postharvest practices, focusing on quality control, safety standards, and emerging technologies. Postharvest quality assessment involves the evaluation of physical, chemical, and sensory attributes, supported by microbiological testing to ensure food safety. Global standards like HACCP, GlobalG.A.P., and ISO 22000 provide frameworks for ensuring compliance and market access. Technological innovations, including near-infrared spectroscopy, hyperspectral imaging, and smart sensors, enable precise, real-time monitoring of produce quality, enhancing operational efficiency. Emerging technologies are revolutionizing the field; nanotechnology offers advanced packaging solutions that improve shelf life and food safety, while drones and AI enhance postharvest monitoring and logistics through real-time data collection and predictive analytics. Blockchain technology introduces unprecedented levels of traceability and transparency, ensuring accountability and rapid response to food safety issues. The integration of these technologies not only improves the efficiency and sustainability of postharvest systems but also aligns with consumer demands for high-quality, safe, and sustainably sourced produce. This holistic approach reduces post- harvest losses, enhances market competitiveness, and contributes to global efforts in ensuring food security. The synergy of traditional quality control methods with cutting-edge technologies paves the way for a resilient and adaptive post- harvest management system that meets the evolving challenges of the agricultural sector.

Hybrid package integration strategy for silicon ICs operating beyond 200 GHz

Abstract This paper proposes an innovative hybrid package integration strategy compatible with silicon-based technologies. It is evaluated beyond 200 GHz by the integration of a WR3 back-to-back waveguide-to-suspended stripline transition designed in BiCMOS technology, relying on metallic split-block package and organic laminate substrate. Simulated insertion loss below 3 dB is observed in the 220–320 GHz frequency band, competing with reported traditional solutions using III–V substrates. The achieved performances lead to promising perspectives for low-cost silicon packaging solutions beyond 200 GHz.

On the issue of reliability of power transmission (on the example of the branch of PJSC Rosseti Volga – Penzaenergo)

The article is a continuation of a series of publications focusing on the analytical assessment of specifics of power transmission in various structural divisions of PJSC Rosseti and is dedicated to the consideration of specific features of electric energy transport in the PJSC Rosseti Volga – Penzaenergo branch electric networks over the period of 2018 – 2023. The characteristic of the structural and balance state of the company's electrical networks for the period under study is presented. Based on the data published in the open press, the analysis of the number of emergency shutdowns and their consequences in electric networks of all levels of rated voltage was carried out. In accordance with the accepted classification, the intensity of these outages was analyzed depending on the amount of electrical energy undersupplied to consumers. The percentage ratio of the value of electrical energy not delivered as a result of emergency shutdowns is analyzed according to the accepted criteria of the intensity level of these failures. It was found that the smallest number of failures of extreme intensity accounts for more than 25% of undelivered electrical energy. The percentage ratio of the amount of electricity not delivered as a result of emergency outages is compared with losses of electricity as a result of unauthorized connections. Specific groups of causes of emergency shutdowns have been identified and the percentage ratio of the number of failures due to these causes to the total number of failures during the period under study has been determined. General scientific methods and methods of numerical analysis were used in the study. The technologies of Excel, Paint 3D software shells, MATLAB graphics editor, as well as author's software solutions were used as a tool base. The results obtained may be of interest to the management of the power grid structures of the Russian Federation, as well as to engineers and researchers engaged in research in the field of improving the reliability of power supply to consumers.

Facial Movements Extracted from Video for the Kinematic Classification of Speech

Speech Sound Disorders (SSDs) are prevalent communication problems in children that pose significant barriers to academic success and social participation. Accurate diagnosis is key to mitigating life-long impacts. We are developing a novel software solution—the Speech Movement and Acoustic Analysis Tracking (SMAAT) system to facilitate rapid and objective assessment of motor speech control issues underlying SSD. This study evaluates the feasibility of using automatically extracted three-dimensional (3D) facial measurements from single two-dimensional (2D) front-facing video cameras for classifying speech movements. Videos were recorded of 51 adults and 77 children between 3 and 4 years of age (all typically developed for age) saying 20 words from the mandibular and labial-facial levels of the Motor-Speech Hierarchy Probe Wordlist (MSH-PW). Measurements around the jaw and lips were automatically extracted from the 2D video frames using a state-of-the-art facial mesh detection and tracking algorithm, and each individual measurement was tested in a Leave-One-Out Cross-Validation (LOOCV) framework for its word classification performance. Statistics were evaluated at the α=0.05 significance level and several measurements were found to exhibit significant classification performance in both the adult and child cohorts. Importantly, measurements of depth indirectly inferred from the 2D video frames were among those found to be significant. The significant measurements were shown to match expectations of facial movements across the 20 words, demonstrating their potential applicability in supporting clinical evaluations of speech production.

Information and Analytical System Monitoring and Assessment of the Water Bodies State in the Mineral Resources Complex

Currently, one of the most pressing global issues is ensuring that human activities have access to water resources that meet essential quality standards. This challenge is addressed by implementing a series of organizational and technical measures aimed at preserving the ecology of water basins and reducing the level of harmful industrial emissions and other pollutants in the aquatic environment. To guarantee the necessary quality of water resources, monitoring is conducted based on selected parameters using various methods and means of technical quality control. From these results, suitable measures are formulated and applied to maintain water quality. Various scientific works extensively discuss different approaches to water quality management and compliance with specified requirements. Modern strategies for developing water monitoring systems leverage the capabilities of information systems that collect, process, store, and transmit information, enabling the resolution of issues in geographically distributed water bodies in real time. This paper proposes an approach that employs mathematical methods to identify the most significant factors determining water quality and to assess their interrelations using methods of a priori ranking, multivariate correlation regression analysis, and integral quantitative assessment. A hardware and software solution for the development of a unified integrated information and analytical system is proposed. This system enables continuous monitoring and assessment of water bodies based on a set of key parameters, addressing a range of critical tasks. This paper provides a detailed description of the software product, presents a demonstration using real-world data, and discusses the anticipated benefits of implementing such an information and analytical system.

Born to go far: analyzing how emerging economy born globals make strategic changes toward internationalization

PurposeThis study aims to investigate the drivers of the internationalization scope of born global from the digital and software solution sector in an emerging economy context, which presents an unexplored avenue of research. This study endeavors to understand the individual and market-level drivers of internationalization scope. Relying on the effectuation and causation framework and reactive/proactive driver typology, this paper sheds light on the individual decision-maker’s makeup and market conditions that influence the changes between strategies in the internationalization process.Design/methodology/approachA qualitative multiple case study approach is used to explore drivers of the internationalization scope of born globals. Seven born globals from the digital and software solution sectors were depicted, and interviews with their founders were conducted.FindingsStudy findings support the utilization of effectuation theory in explaining the scope of internationalization of born globals. Furthermore, the findings attest that the two decision-making logics are interchangeable. On the market level, several context-specific factors have stirred the diversity of markets pursued by born globals. The findings evince that the founders of the born globals perceive the domestic market as small and underdeveloped; therefore, they seek more developed, easily accessible, distant markets.Originality/valueThe study contributes to a better understanding of the internationalization of born globals in an emerging economy context. We find that born globals change their strategies iteratively with the stage of internationalization.

Improving the budgetary policy of municipalities

The subject of the study is financial relations of municipalities in terms of income generation. The purpose of the article is to disclose and justify measures to increase fairness of the distribution of personal income tax by fixing the share of such a tax for the municipality in which the citizen lives but does not work. The research methods are general scientific (analysis, synthesis, deduction, classification, work with sources) and empirical ones (horizontal analysis). The article considers the problem of imbalance of local budgets caused by pendulum migration and, consequently, by outflow of income from municipalities. An information and software solution has been proposed to ensure the fair distribution of part of the personal income tax between municipalities by the place of residence and work of taxpayers. The logical model of the proposed solution and necessary changes in legislation for its implementation are described. The scope of application is the budget system of the Russian Federation, namely the spheres of municipal finance. Further research should be aimed at identifying additional reserves for strengthening the financial autonomy of municipalities. The expected results of the work include improving the financial situation of the population, optimising the budget system and leveling the level of development of municipalities. The importance of the proposed solution for balanced regional development and improving the quality of life of citizens is emphasised.

EcoSound-web: an open-source, online platform for ecoacoustics.

Passive acoustic monitoring of soundscapes and biodiversity produces vast amounts of audio recordings, but the management and analyses of these raw data present technical challenges. A multitude of software solutions exist, but none can fulfil all purposes required for the management, processing, navigation, and analysis of acoustic data. The field of ecoacoustics needs a software tool that is free, evolving, and accessible. We take a step in that direction and present ecoSound-web: an open-source, online platform for ecoacoustics designed and built by ecologists and software engineers. ecoSound-web can be used for storing, re-sampling, organising, analysing, and sharing soundscape recording or metadata projects. Specifically, it allows manual annotation of soniferous animals and soundscape components, automatic annotation with deep-learning models for all birds and for UK bat species, peer-reviewing annotations, analysing audio in time and frequency dimensions, computing alpha acoustic indices, and providing reference sound libraries for different taxa. We present ecoSound-web's structure and features, and describe its operation for typical use cases such as sampling bird and bat communities, using a primate call library, and the analysis of soundscape components and acoustic indices. ecoSound-web is available from: https://github.com/ecomontec/ecoSound-web.

MODVORTEx: computer vision-driven automation for magnetic domain wall velocity analysis

Abstract This paper presents Magneto Optic Domain Velocity Observation and Real-Time Extraction (MODVORTEx), a comprehensive software solution for automating domain wall (DW) velocity measurements in magnetic materials using magneto-optic Kerr effect microscopy. Building upon our previous work on bubble domain structures, we introduce a versatile graphical user interface (GUI) that accommodates arbitrary domain shapes and employs advanced computer vision techniques. The software provides different methods for DW detection and velocity calculation, catering to various domain structures of arbitrary shape. Our approach significantly reduces the time and effort required for data extraction, transforming a process that previously took days of manual work into a task completable within minutes. We provide the details of the algorithmic implementation which is organized into pre-processing, DW detection, displacement measurement, and velocity extraction. This tool is applicable to a wide range of scenarios, including bubble domain dynamics, Dzyaloshinskii–Moriya interaction studies in perpendicular magnetic anisotropy systems, current-driven DW motion in patterned strips etc. By providing both GUI and Application Programing Interface, our software offers flexibility for integration into existing measurement systems and adaptability for specific research needs. This automation promises to accelerate research in spintronics and magnetic materials, enabling more comprehensive and accurate studies of DW dynamics.

The potential of helichrysum italicum essential oil-infused alginate coatings and film for prolonging the shelf-life of cherry tomatoes

This study aimed to develop edible coatings and films using sodium alginate (1 % Alg) and varying concentrations of Helichrysum italicum essential oil (HIEO) (0.3 % and 0.5 %) for cherry tomato preservation. The treatments consisted of Alg, Alg/0.3 % HIEO, and Alg/0.5 % HIEO. The physico-chemical, mechanical, water vapor permeability, optical, thermal, and antifungal properties of these coatings and films were examined. Scanning electron microscopy and Fourier transform infrared spectroscopy analyses showed that the addition of HIEO resulted in a heterogeneous morphology and slight chemical structural changes in the Alg film. The Alg/0.5 % HIEO films exhibited improved water vapor permeability, antioxidant capacity, ultraviolet light barrier properties, elongation at break, and thermal stability. Additionally, 0.5 % HIEO significantly reduced the mycelial growth of Botrytis cinerea (in vitro), making Alg/0.5 % HIEO the optimal coating. Cherry tomatoes coated with Alg/0.5 % HIEO and stored at 25 °C and 60 % relative humidity for 18 d showed reduced weight loss (5.22 ± 1.45 %) and preserved firmness (6.43 N). This coating also inhibited the Rhizopus stolonifer lesion diameter by 61.36 % (in vivo). In conclusion, Alg/0.5 % HIEO coatings are promising sustainable active packaging solutions for cherry tomato storage applications.

Enhancing grape preservation: The synergistic effect of curry leaf essential oil in buckwheat starch-chitosan composite coatings

A novel edible composite coating composed of buckwheat starch (BS) and chitosan (CH) with varying levels of curry leaf essential oil (CLEO) was synthesized in the present study. Initially, starch was extracted from buckwheat groats, and its proximate analysis revealed a high amylose content (21.91 ± 0.32%), which makes it an excellent base material for coating formation. The composite coatings were created by blending BS and CH with CLEO in different concentrations. The coatings underwent a comprehensive evaluation, including physico-chemical, functional, thermal analyses, and microstructural characterization. Cytotoxicity tests on human cell lines (Caco-2) confirmed that the coatings were non-toxic. Among the various formulations, the coating with 2.0% CLEO (referred to as F5) exhibited the highest antimicrobial activity, maximum antioxidant properties, and the lowest water solubility. Following this, the coatings were applied to green grapes (Vitis vinifera) via dip coating technique. The performance of coatings was assessed by storing the grapes under room temperature (25 ± 1 °C) and refrigeration conditions (4 ± 1 °C). From visual appearance and physio-chemical tests, it was concluded that the F5 coating was potentially active in extending the shelf life of grapes to 12 days at room temperature and to 20 days under refrigeration storage. Overall, the BS-CH-CLEO composite coating emerges as a refined and eco-conscious bioactive packaging solution, elegantly extending the shelf life of grapes while providing both sustainability and cost-efficiency.

“Design of a Trustworthy Cloud-Native National Digital Health Information Infrastructure for Secure Data Management and Use”

Abstract Since 2022, Malawi Ministry of Health (MoH) designated the development of a National Digital Health Information System (NDHIS) as one of the most important pillars of its national health strategy. This system is built upon a distributed computing infrastructure employing the following state-of-art technologies: (1) digital healthcare devices to capture medical data; (2) Kubernetes-based Cloud-Native Computing architecture to simplify system management and service deployment; (3) Zero-Trust Secure Communication to protect confidentiality, integrity and access rights of medical data transported over the Internet; (4) Trusted Computing to allow medical data to be processed by certified software without compromising data privacy and sovereignty. Trustworthiness, including reliability, security, privacy and business integrity, of this system was ensured by a peer-to-peer network of trusted medical information guards deployed as the gatekeepers of every computing node on this system. This NDHIS shall facilitate Malawi to attain universal health coverage by 2030 through its scalability and operation efficiency. It shall improve medical data quality and security by adopting a paperless approach. It will also enable MoH to offer data rental services to healthcare researchers and AI model developers around the world. This project is spearheaded by the Digital Health Division (DHD) under MoH. The trustworthy computing infrastructure was designed by a taskforce assembled by the DHD in collaboration with Luke International in Norway, and a consortium of hardware and software solution providers in Taiwan. A prototype that can connect community clinics with a district hospital has been tested at the Taiwan Pingtung Christian Hospital.

Spatiotemporal Moisture Field

For monitoring capillary moisture conduction, the most important parameter is the moisture conductivity coefficient, which is a material characteristic; however, its use in practical calculations is not very common. For further development in the field of liquid moisture propagation, an automated measuring apparatus has been developed and granted a European patent. Its essence lies in detecting the liquid water content based on a well-known physical phenomenon: electromagnetic radiation in the microwave range. The determination of the spatiotemporal moisture field is the first and fundamental step for describing transportation phenomena. The moisture field thus created allows for the viewing of the moisture conductivity coefficient, which is one of the most important parameters in describing transportation phenomena as a function of moisture. The presence of water in building materials can significantly affect their physical properties, such as mechanical or thermal–technical characteristics. This may lead to unacceptable consequences, which might only manifest after a certain period of time. In the case of multi-layered structures, moisture can transfer from one material to another. Therefore, it is essential to address this process. The advantage of the software solution described by the methodology is the use of an open communication protocol in the form of a synchronized array, which is not common in typical applications of this type. The principle of separating hardware modules is also unusual for devices of this type, as it requires the independent communication of each module with the control software. Mutual communication is handled exclusively at the software level, making it possible to modify, optimize, or parameterize the procedures as needed. Upon closer examination of the wetting curves of various materials, anomalies were revealed in some of their structures. This can be advantageously utilized in the research of newly developed composite materials. The assembled system of measuring instruments, their software integration, and control provide a foundation for the practical application of the described procedures and methods for determining the moisture field of building materials. The parameterization of individual processes, as well as the open access to data, allows for the optimization of the methodology, as materials of entirely different characteristics may require an individual approach, which will certainly contribute to the advancement of science and research in this area. Currently, this work is being followed by further extensive studies, not yet published by the authors, focusing on the application of the described moisture field to evaluate the moisture conductivity coefficient as a function dependent on the material’s mass moisture content. Their application requires specific mathematical and programming approaches due to the significant volume of data involved.

Technical, hardware and software solutions for monitoring natural processes in the southern part of the Sea of Okhotsk

Technical, hardware and software solutions for monitoring natural processes in the southern part of the Sea of Okhotsk

Identification of utilization deficiencies post SAP enterprise resource planning implementation in the Algerian Pharmaceutical Sector.

Enterprise Resource Planning like SAP are software solutions integrating various functional aspects. The study investigates the utilization challenges after the adoption of SAP ERP within a pharmaceutical firm. It is driven by four interrelated objectives: comprehending the operation of the SAP, the motivations behind its implementation, identifying the utilization deficiencies, and examining the relation between deficiencies and implementation challenges. A triangulation approach was adopted. The methods employed are based on batch monitoring, data collection, semi-structured interviews, a literature review, an overview of the software package, a comparison of the SAP with the previous management system, and an in-depth implementation study. 38 challenges were found in the literature, in a causal relationship with 11 identified utilization deficiencies in the study field. This analysis emphasized the significance of the human dimension, particularly the training of users, as a critical element in SAP implementation. The advantages gained from implementing an ERP primarily revolve around the users and the processes. Deployment in itself is not an improvement. By recognizing the importance of the human factor, organizations can focus on improving training programs and enhancing user proficiency to maximize the benefits of SAP implementation.

AI Copilot for the Modern Developer : Leveraging GenAI in Software Development

This paper explores the transformative impact of AI copilots on software development, powered by Generative AI and Large Language Models. It examines how these tools enhance developer productivity, improve code quality, and democratize software development. The study delves into the core technologies behind AI copilots, including code synthesis and contextual learning, and discusses their integration with development environments. The paper also investigates the role of reinforcement learning in continuously improving AI copilots and analyzes their impact on software development practices. Additionally, it explores future prospects, including more sophisticated natural language understanding and improved cross-language support. Throughout, the paper emphasizes how AI copilots are reshaping the landscape of software engineering, potentially leading to more efficient, higher-quality, and innovative software solutions.

Food packaging technology considerations for designers: Attending to food, consumer, manufacturer, and environmental issues.

Food packaging is essential for preserving food safety and quality while also addressing environmental concerns. Designers are at the forefront of developing packaging solutions that not only meet functional requirements but also align with evolving consumer preferences and sustainability concerns. To inform designers, this paper discusses fundamental principles of food packaging technology, encompassing aspects such as food preservation, distribution, marketing, usability, and disposal. It provides examples of innovations in active and smart packaging, nanotechnology, material biodegradability, and recyclability, as well as strategies to reduce packaging waste. By providing future food packaging designers with this essential knowledge and these insights, we hope to encourage them to contribute to future innovations that meet the needs of consumers and the environment.

Control System for a Heavy Ion Laser Source at Synchrotron Complex ICCR

The article describes the control system for a laser source of heavy ions. The control system has a hierarchical multilevel architecture, determined by the hierarchical structure of the laser ion source, and is a part of the control systems of the linear heavy ion injector and the entire synchrotron complex. The article describes the basic requirements for the control system and the general principles of its construction, and the circuitry and software solutions selected in accordance with these requirements and principles, such as: organization of data exchange between individual nodes in the automated control system; determination of algorithms for working with individual devices and subsystems of the ion source, and with the ion source as a unified system; selection of types and structural schemes of controllers of individual subsystems. The hierarchical structure of the automated control system and control subsystems for all the main devices of the laser source are also described.