bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of Architecture for Connecting a System Module for People with Disabilities
Authors: Baskakov A. A. , Tarasov A. G. 
Published: January 2023

Introduction. To develop new system modules of software to help employees with disabilities, it is required to work out an architectural solution for the interaction of all parts of the system. As a result of the analysis and design, it is necessary to obtain a software architecture that must meet a number of standard requirements. First of all, it should be safe. To do this, you should take into account the error logging system, event auditing, the possibility of disabling the functionality immediately after putting it into commercial operation, internal mechanisms for validating client input requests and server responses. This study is aimed at the development of basic system maintenance options, the analysis of exception cases under interacting with the user for further evaluation of the architecture efficiency, and the direct project development. Materials and Methods. The architectural decision was carried out using the Unified Modeling Language (UML), which helps to build visual images of the life cycle and interaction of all components of the system. The syntax of the UML deployment diagram was used to study the interaction of the main modules of the future system, and the syntax of the UML sequence diagram was used to process the lifecycle. A use case diagram was also applied to describe the main use cases. To study the interaction of the main modules of the future system, the UML deployment diagram syntax was used. For life cycle processing, the UML sequence diagram syntax was applied. In addition, a use case diagram was applied to describe the base use cases. Results. An architecture that has a scheme for the interaction of individual modules and systems, as well as options for using the software package for the future implementation of the software product, has been developed. The proposed system architecture meets the requirements of security, reliability (fault tolerance), and performance. The authors have fixed the functional requirements of the system of assistance to employees of enterprises with hearing problems for the possibility of their employment and work on the telecommunication Internet. Basic variations of system maintenance have been developed. Discussion and Conclusions. Building a competent architecture provides taking into account cases that go beyond the normal use of the system, and applying a fuzzy model to determine the system efficiency. Further in-depth description of deployment and operation options will enable to implement an efficient and productive system.
Secure Real-time Data Transmission for Drone Delivery Services using Forward Prediction Scheduling SCTP
Authors: Ronaldo Febby , Sudarsono Amang , Pramadihanto Dadet 
Published: January 2023

Drone technology is considered the most effective solution for the improvement of various industrial fields. As a delivery service, drones need a secure communication system that is also able to manage all of the information data in real-time. However, because the data transmission process occurs in a wireless network, data will be sent over a channel that is more unstable and vulnerable to attack. Thus, this research, purposes a Forward Prediction Scheduling-based Stream Control Transmission Protocol (FPS-SCTP) scheme that is implemented on drone data transmission system. This scheme supports piggybacking, multi-streaming, and Late Messages Filter (LMF) which will improve the real-time transmission process in IEEE 802.11 wireless network. Meanwhile, on the cybersecurity aspect, this scheme provides the embedded option feature to enable the encryption mechanism using AES and the digital signatures mechanism using ECDSA. The results show that the FPS-SCTP scheme has better network performance than the default SCTP, and provides full security services with low computation time. This research contributes to providing a communication protocol scheme that is suitable for use on the internet of drones’ environment, both in real-time and reliable security levels.
Web Application Security Education Platform Based on OWASP API Security Project
Authors: Idris Muhammad , Syarif Iwan , Winarno Idris 
Published: January 2023

The trend of API-based systems in web applications in the last few years keeps steadily growing. API allows web applications to interact with external systems to enable business-to-business or system-to-system integration which leads to multiple application innovations. However, this trend also comes with a different surface of security problems that can harm not only web applications, but also mobile and IoT applications. This research proposed a web application security education platform which is focused on the OWASP API security project. This platform provides different security risks such as excessive data exposure, lack of resources and rate-limiting, mass assignment, and improper asset management which cannot be found in monolithic security learning application like DVWA, WebGoat, and Multillidae II. The development also applies several methodologies such as Capture-The-Flag (CTF) learning model, vulnerability assessment, and container virtualization. Based on our experiment, we are successfully providing 10 API vulnerability challenges to the platform with 3 different levels of severity risk rating which can be exploited using tools like Burp Suite, SQLMap, and JWTCat. In the end, based on our performance experiment, all of the containers on the platform can be deployed in approximately 16 seconds with minimum storage resource and able to serve up to 1000 concurrent users with the average throughput of 50.58 requests per second, 96.35% successful requests, and 15.94s response time.
Colaboração e transferência de conhecimento entre os atores do ecossistema de inovação
Authors: Nascimento Sandro de Freitas , Correia Lima Manolita 
Published: January 2023

Objetivo: O propósito deste estudo é investigar como a colaboração entre os atores do ecossistema de inovação se relaciona com a transferência de conhecimento entre as instituições.
Referencial Teórico: Utiliza-se a teoria da gestão do conhecimento, agregando os modelos das hélices (tripla, quádrupla e quíntupla) e os conceitos de ecossistema de inovação.
Método: As unidades de estudo são os polos de inovação dos Institutos Federais de Educação, credenciados pela Embrapii. A abordagem metodológica da pesquisa é qualitativa, o método utilizado é o estudo de caso múltiplo, a coleta de dados foi realizada por meio de entrevistas semiestruturadas. Os resultados foram apurados com análise de conteúdo.
Originalidade/ Relevância: A pesquisa realizada pretende suprir a carência de investigações sobre a compreensão da participação dos atores e dos fatores envolvidos no processo de transferência de conhecimento.
Resultados: Os principais resultados revelaram que, a colaboração entre os atores se relaciona com a transferência de conhecimento por meio da criação e ampliação das parcerias estabelecidas e da gestão do conhecimento que emerge dessas relações.
Contribuições teóricas: A principal contribuição teórica do trabalho é a proposição do modelo conceitual que permite comparar os casos estudados conforme critérios definidos na revisão de literatura.
Contribuições gerenciais: A contribuição prática do estudo, é a identificação de aspectos fundamentais para aprimorar a relação de colaboração entre os atores do ecossistema de inovação e da transferência de conhecimento.
DNA barcoding pada Familia Bovidae berdasarkan gen Co1 (Cytochrome C Oxydase Sub Unit 1)
Authors: Ristiana Rina , Rustam Aswar , Zein Moch. Syamsul Arifin , Zulkarnain Zulkarnain 
Published: January 2023

DNA barcoding merupakan suatu teknik identifikasi spesies berbasis molekuler dengan menggunakan gen Cytochrome C Oxydase Subunit 1 (CO1). DNA barcoding terhadap famili Bovidae berguna dalam rangka identifikasi spesies, monitoring perdagangan daging ternak, penegakkan hukum, serta klarifikasi spesies dalam suatu produk pangan yang berasal dari hewan ternak. Penelitian ini bertujuan untuk mengetahui efektivitas gen CO1 sebagai DNA barcode dengan melihat jarak genetik antar-spesies dan inter-spesies Bovidae dengan spesies outgrup serta kekerabatan spesies dalam konstruksi filogenetik. Analisis sekuen CO1 dilakukan terhadap tujuh spesies Bovidae dan dua spesies out grup. Data sekuen CO1 diperoleh dari NCBI (https://www.ncbi.nlm.nih.gov/) lalu dilakukan analisis jarak genetik dan filogenetik menggunakan metode neighbor-joining (NJ) pada software Moleculer Evolutionary Genetics Analysis (MEGA) versi 6. Hasil penelitian menunjukkan jarak genetik intra-spesies Bovidae berkisar antara 0,044-0,69% dengan jarak terendah terlihat pada spesies Bos taurus (0,044%) dan tertinggi pada spesies Bos javanicus (4,69%). Sedangkan jarak genetik inter-spesies berkisar antara 2,2-24,6% dengan jarak tertinggi ditunjukkan oleh Bos javanicus dan spesies outgrup yakni sebesar 24,6% (rata-rata ±2,2-0,05%). Sekuen gen CO1 pada spesies famili Bovidae menunjukkan adanya variasi yang tinggi antar-spesies namun rendah dalam spesies (intra-spesies). Oleh karena itu, gen CO1 efektif digunakan sebagai DNA barcode pada famili Bovidae.
Projection of early warning identification of hazardous sources of gas explosion accidents in coal mines based on NTM deep learning network
Authors: Lai Wenzhe , Shao Liangshan 
Published: January 2023

Abstract
Among all kinds of coal production disasters, the consequences of gas disaster are the most serious. As the existing coal mine gas explosion disaster pre-control management theory and method system is not satisfactory, the neural Turing machine (NTM) deep learning network algorithm is used to calculate and analyse the risk source early warning identification of coal mine gas explosion accidents. Institute with data sets of gas gas accident knowledge base matter each event to cause an (basic or intermediate events) as an example, through the study of the depth of NTM network algorithm calculation analysis shows that self-rescuer failure, personnel peccancy operation, such as downhole safety management does not reach the designated position is easy to cause important hazard of gas explosion accident, the probability to cause an 0.567. Based on the constructed NTM deep learning network algorithm, the risk factors and their weights in the early warning identification of gas explosion accidents are calculated and analysed. Through calculation analysis, it can be seen that the highest weight of risk factors is gas concentration, with a weight of 96. In the early warning identification of hazard sources, the hazard factor next to gas concentration is mine combustibles, with a weight of 75.
Resource Allocation and Impact Analysis of the System Parameters on Performance in Multi-Cell Massive MIMO Networks
Authors: Mujkić Samira , Kasapović Suad 
Published: January 2023

Abstract
This paper investigates the energy-efficient resource allocation algorithm for a massive multiple input multiple output (MIMO) system, in which each base station adapts the number of antennas to the daily load profile. Our paper examines the effect of two user location distribution (ULD) models, on the energy-efficiency (EE) of load adaptive masive MIMO system. We propose a resource allocation strategy to adapt the number of antennas based on tracking variations of ULD and cell loading maximizing the EE. We also evaluate impact of cell size, available bandwidth and output power level of the BS on EE at different cell loading.
Phase Balance Optimization of Customers and Electric Vehicles in a Real Low Voltage Electricity Distribution Network
Authors: Nalo Naida , Bosović Adnan , Musić Mustafa 
Published: January 2023

Abstract
Phase unbalance is a common issue encountered in LV electricity distribution networks, caused by uneven allocation of single-phase loads among phases. This paper analyses a part of a real LV distribution network, situated in Bosnia and Herzegovina. The impact of single-phase customers and single-phase charging of electric vehicles was analysed. To reduce unbalance and improve the voltage profiles, Phase Balance Optimization in DIgSILENT PowerFactory software was performed in six scenarios with different customer and electric vehicle unbalance. The goal was to find a method with the least number of changes in the customer and electric vehicle phase connection that fits within defined limits of voltage variations and voltage unbalance of a European norm for power quality (EN 50160). Results showed that all analysed scenarios were improved, with reference to voltage variation and voltage unbalance values, and were found acceptable by the limits from standard EN 50160.
Analysis of Unsymmetrical Customer and Electric Vehicle Connection on Voltage Profiles and Voltage Unbalance - Case Study Real Low Voltage Distribution Network
Authors: Cikotić Lejla , Bosović Adnan , Musić Mustafa 
Published: January 2023

Abstract
In the past couple of years, the integration of electrical vehicles (EV) in the power system has been capturing the attention of many researchers, which has led to this being a frequently analysed topic in scientific papers and seminars. Some of the main parameters related to power quality that are observed, while integrating EVs, are voltage variations and voltage unbalance. The low-voltage rural network, of a small settlement located on the outskirts of Zavidovici, has been modelled for the purpose of this paper. Several cases were considered. As the first base case, an analysis was performed when there were no connected vehicles in the network, then the case with 20% penetration, 35% penetration, and 80% vehicle penetration. Practical analysis was done in DIgSILENT Power Factory software. It has been concluded that electrical vehicles cause a voltage drop in the network, while at the same time causing an increase in voltage unbalances.
The Continuous Professional Development of Accounting Professionals and the Impact on the Valuation of Accounting Information
Authors: Ciuhureanu Alina 
Published: January 2023

Abstract
In the accounting profession, continuous professional development and lifelong learning are essential if we consider the increasingly advanced demands of internal and external users of financial and accounting information. It is certain that professionals who do not have and do not constantly update their necessary general and specialized knowledge will no longer find their place in an increasingly competitive market. The paper highlights, based on bibliographic resources, the fact that national and international professional bodies implement training and professional development programs in accordance with the “International Education Standards” issued by the “International Accounting Education Standards Board”, an independent organization within the “International Federation of Accountants”. Using the selective research, we analyzed the interest of accounting professionals to develop professionally considering the need for continuous training in the conditions where accounting information is indispensable in the decision making process and the financial – accounting field is one that is constantly changing.
On separation of monetary and fiscal operations in macroeconomics statistics
Authors: Rybáček Václav , Janáček Julius 
Published: January 2023

Abstract
The aim of the paper is to discuss one of the major topical and controversial issues in contemporary statistics, which is the separation of monetary and fiscal operations in national accounts. This issue revolves mainly around the operation of public financial institutions mandated to carry out monetary as well as fiscal transactions on behalf of governments. After discussing the methodological dimension of the point at issue, the paper numerically demonstrates the impact on final figures given the existing data constraints. Admittedly, substantial changes to the current recporting may modify the aggregates utilized in the analysis of the fiscal sustainability or the economic role of the government as such. The paper demonstrates that the statistical uncertainty about the size of the government sector is a fundamental issue. The impact on the level of government indebtedness may reach up to tens of percentage points.
Challenges in transfer pricing: A concept of safe harbours for financial transactions
Authors: Ištok Michal , Solilová Veronika , Brychta Karel 
Published: January 2023

Abstract
The OECD project against BEPS has brought and initiated many changes – among others, in the OECD Transfer Pricing Guidelines. To react and respond to changes in the current business environment, a new chapter for transfer pricing in financial transactions has also been introduced (namely chapter X). This step can be considered beneficial. However, meeting all the requirements for setting a transfer price for financial transactions seems to remain a very demanding and expensive task. Furthermore, the OECD Transfer Pricing Guidelines have been of a general nature rather than providing responses to all potential problems and circumstances – they provide fundamental ideas and principles. Thus, the potential to apply a simplified procedure for setting a transfer price (even for financial transactions) can be viewed as desirable, both for taxpayers and tax authorities. The aim of the paper is linked to this idea – to present the results of a comparative study dealing with the rules for safe harbours for financial transactions (namely loans) as established worldwide, providing a summary of existing concepts and systematized criteria for a safe harbour to be considered.
Environmental aspects of investing in the Polish stock exchange market according to individual investors
Authors: Dziawgo Leszek 
Published: January 2023

Abstract
The aim of the article is to present and analyse the attitudes of Polish society and individual investors towards challenges of environmental protection. For the purposes of the study, the following hypothesis was formulated: environmental aspects are an important factor in making investment decisions by individual investors on the Polish capital market. In the article, various research methods were applied, with particular emphasis on empirical research, both external and own. The own research was carried out on a representative sample of the Polish society, as well as on a targeted sample of individual investors who invest in the Warsaw Stock Exchange. Unfortunately, on the basis of results from conducted research, it was found that environmental aspects are not an important factor in making investment decisions by individual investors on the Polish capital market.
Predicting Auditor’s Opinion on Financial Statements of Public Enterprises Based on Indicators of the Beneish M-score Model
Authors: Gadžo Amra , Halilbegović Sanel , Đaković Alma Osmanović , Hodžić Adisa 
Published: January 2023

Abstract
Considering the burning problem of corruption and non-transparency of public enterprises in the Federation of Bosnia and Herzegovina (FBiH), the paper aims to investigate whether the Beneish M-score model can be used to predict inaccurate financial statements. Where, the cause of inaccurate financial statements are intentional or unintentional errors.
On a sample of 200 financial statements of public enterprises and related audit reports issued by the Audit Office of the Institutions in FBiH, we made a link between the Beneish M score model with its partial indicators (DSRI, GMI, AQI, SGI, DEPI, SGAI, LVGI, TATA) and four types of opinions: positive, opinion with distraction, negative and refraining from giving opinions. The research was conducted using descriptive statistics and an artificial neural network with the “scaled conjugate gradient backpropagation (trainscg)” algorithm for pattern recognition and classification. The research results show that it is possible on the basis of 8 partial indicators (DSRI, GMI, AQI, SGI, DEPI, SGAI, LVGI, TATA) i.e. 24 balance sheet position for their calculation, predict the auditor’s opinion on the quality of financial statements of public companies with an accuracy ranging between 98 and 100% in repeated procedures. The results of the research have their practical usefulness and can serve to researchers, creditors, customers, suppliers and state auditors in planning resources and priorities for performing financial audits at public companies in the FBiH.
Where is Nature? Where is Nature in Nature and Outdoor Learning in Higher Education? An Analysis of Nature-Based Learning in Higher Education Using Multispecies Ethnography
Authors: Ameli Katharina 
Published: January 2023

Abstract
The multiple crises of the 21st century once again highlight the significant role of sustainable education in all educational institutions. Particularly in higher education, the inclusion of nature and animals in the curricula is underrepresented. Using the method of Multispecies Ethnography, which recognizes the interconnectedness and inseparability of humans and other life forms of the more-than-human world, such as plants or animals, this paper discusses the presence of nature in online-based nature and outdoor learning in higher education. This study examines nature-based learning in higher education. It analyses the role of nature in the learning process in general and in sustainable education in particular. The results of the study show that a relationship with nature leads to a change in one's worldview, which is evidence of the methodological importance of introducing nature in the learning process. The results also illustrate that – despite digitalization – direct interaction with nature is essential for a paradigm shift in education.
State of the Research on Teacher Education and Sustainability: A Bibliometrics Analysis
Authors: Gavinolla Mahendar Reddy , Livina Agita , Swain Sampada Kumar 
Published: January 2023

Abstract
Qualitative education is one of the key contributors in achieving the goal of sustainability. Several studies mention that the sustainability curriculum and educators can play an immense role in developing awareness in practicing the concept of sustainability. Relatively there is no comprehensive study to typify the recent contributions of teacher education for sustainability. In this light, the aim of the study is to understand the progress of the research on teacher education for sustainability (TES) in terms of growth, evolution, influence and significant research themes. To achieve the aim of the study, 1782 documents indexed in the Scopus database over three decades starting from 1991 to 2020 were analyzed by using bibliometric analysis. The data are visualized in the paper by using VOSviewer and Tableau. Results show that there has been a significant increase in yearly publications and citations over the years, trending research papers, productive authors, institutions and countries and thematic areas of research. Most frequently published journal has a considerable cite score and quartile. Universities from Australia published the most. The most commonly published themes are education for sustainability, Agenda 21, sustainable development education, environmental education, and later the focus is shifted to teacher training, teachers, education, values, teaching and education policy, sustainability competencies. Future research should focus on blended learning, digital learning, other modern tools and techniques to achieve the goal of sustainable development as well as to address the issue of teaching sustainability during uncertainty conditions.