bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Multivariate Analysis of the Interplay between Energy Resources, Economic Growth, and Financial Stability. Evidence from Azerbaijan
Authors: Grigore George-Eduard , Nicolae Simona , Vlăduț Oana 
Published: July 2024

Abstract
The aim of this research is to conduct an objective and predictive evaluation of Azerbaijan's economic growth from 1997 to 2022. Since Azerbaijan is a significant exporter and producer of energy resources, its economic growth is substantially influenced by the remarkable advancements in oil and gas extraction and production since the early 2000s. Methodologically, we have designed several models to ascertain the influence and impact of the following explanatory factors-oil reserves, natural gas reserves, net trade, current account balance, inflation rate, unemployment rate, interest rate and carbon dioxide emissions - on the economic growth rate. The study utilised a combination of uni- and multi-factorial linear regression techniques, with accuracy and robustness testing conducted on all eight models. Research hypotheses were tested and a predictive analysis was implemented and evaluated over the studied period. Our findings demonstrate that the growth of Azerbaijan's economy is positively impacted by the dynamics and development of energy product trade, particularly in oil. As a result, GDP increased by an average of 2.50%. It is also confirmed that inflation and unemployment have a negative impact which unavoidably leads to instability and an economic downturn. In contrast, the robustness indicators (namely, RMSE, MAE and MAPE) could assess the predictive analysis of economic growth. The validated, low values further endorse the credibility of the eight models in accurately forecasting the economic growth rate throughout the studied period. The study disproves the existence of a positive correlation between GDP and the quantity of carbon dioxide emissions. However, it has been demonstrated that Azerbaijan is taking significant measures to achieve its environmental objectives. These measures include the implementation of taxation, a reduction in CO2 emissions by up to 55% by 2030, and a shift towards renewable energy sources. Our research aims to enhance the utilisation of renewable energy resources, increase the efficiency of the domestic energy infrastructure and implement measures to moderate high levels of unemployment and inflation, thus ensuring sustained economic growth in Azerbaijan.
Decision-Making in Healthcare. A Bibliometric Exploration
Authors: Olariu Ana Alexandra , Breazu Andreea , Popa Ștefan Cătălin , Popa Cătălina Florentina , Căruceru Nicoleta 
Published: July 2024

Abstract
The dynamic environment in which healthcare systems operate highlights the importance of the decision-making process, especially considering the fact that it influences the quality of services and the well-being of patients. The aim of this research is to examine the conceptual link between the concepts “decision”, “decision making process”, “healthcare”, and “management” and how they interact in the literature. Thus, the research aims to identify common trends and patterns in these areas. The research carries out scientific mapping using a three-stage methodological approach: bibliographic data collection through refined searches in the Web of Science database, data analysis using Biblioshiny, and subsequent bibliometric analysis of the 259 scientific documents collected. The main results of the analyses carried out illustrated an increase in scientific publications over time, especially in 2023, when most academic materials were published. International collaboration is in its infancy, with the US and China leading such collaborations. The theoretical implications are centered around the methodological approach to research in the healthcare field. Regarding the practical implications, the research provides information to decision-makers in the medical sector by identifying current contexts in the lives of organizations, but also to academics, with the research having the role of revealing publication sources and other information of interest to them.
Machine Learning Empowerment in Industry 4.0 – Case Study for Micro and Small Enterprises in Romania
Authors: Bogoevici Flavia , Albu Octavia , Duță Ruxandra , Chitca Camelia 
Published: July 2024

Abstract
In the world in which technology quickly integrates in our daily lives, businesses that incorporate digital innovation throughout their organizational culture, spanning from top-level executives to low-level employees are prone to emerge as industry frontrunners. Supported by Machine Learning, which stands out as a pivotal revolutionary tool, companies can enhance their productivity and operational efficiencies by incorporating remarkable automation capabilities, error reduction, superior predictive analysis, together with gaining valuable insights into future trends. The paper confers an overview of Machine Learning’s capabilities, developed types, provided solutions and built architecture, through a conceptual structure. The paper elaborates these crucial concepts, offering a precise perspective on the topic and adopts a descriptive approach, elucidating the provided terminologies and ideas by referencing the related literature. The paper highlights in the initial part the outcomes resulting from the key advantages of Machine Learning and its impact on organizations, the path towards realizing substantial value through these digital advancements, emphasizing the priority organizations assign to cultivate their digital potential. The research performed in the second part of the paper aims at analyzing the progress of Romanian micro and small enterprises with implemented Machine Learning solutions, with detailed metrics and comprising k-means clustering, having the following objectives: automating repetitive tasks, improving planning and forecasting, increasing net profit, effortlessly discovering new patterns from large, diverse data models.
Why Startups Outpace Multinationals in Leveraging DevOps
Authors: Craciun Pavel-Cristian , Necula Robert-Cristian 
Published: July 2024

Abstract
This paper explores the differential impacts of DevOps across varying organizational structures, specifically analyzing why startups may outpace multinational companies in leveraging the benefits of DevOps methodologies. DevOps drives organizational efficiency and innovation. Comparative studies often examine its implementation in startups versus large-scale enterprises. The literature pinpoints the agility, culture, and size of an organization as key determinants influencing the adoption of DevOps principles. In response, this study employs an extensive questionnaire distributed to DevOps and related professionals to investigate the hypothesis that startups are uniquely positioned to harness DevOps for technological advancement and cultural synergy. The survey gathered quantitative and qualitative data reflecting experiences with DevOps adoption, challenges faced, and the perceived benefits drawn from such practices. The findings reveal that while startups and multinationals share common challenges, the former's organizational agility, innovative mindset, and less encumbered cultural practices offer startups a distinct advantage in the effective assimilation of DevOps practices. This paper contributes to the field by providing evidence supporting the notion that startups possess intrinsic advantages over multinationals in DevOps implementation, chiefly due to their flexibility and lean structures for rapid innovation. By mapping out the relative successes and impediments to DevOps adoption in diverse corporate environments, this research extends the understanding of how organizational characteristics can be leveraged to optimize DevOps strategies in the evolving landscape of software engineering.
The Dynamics of the ICT Workforce and the Effects on the Use of Artificial Intelligence Technologies in the European Union
Authors: Pantelimon Florin-Valeriu , Posedaru Bogdan-Stefan , Toader Liviu-Andrei , Dulgheru Mihai-Nicolae , Georgescu Tiberiu-Marian 
Published: July 2024

Abstract
This paper represents an analysis made using statistical methods of the influence of the number of Information and Communication Technology (ICT) specialists on the number of businesses that use and invest in technologies based on artificial intelligence (AI). Throughout the article, the authors analyze two sets of statistical data collected by Eurostat: the share of ICT specialists in the overall active population and the number of companies that use and invest in AI technologies, both datasets referring to the European Union. Using several statistical methods, such as normality tests, correlation analysis and regression analysis on the datasets, the results show that the relation between the number of ICT specialists and the number of businesses that use and invest in AI technologies is a positive one, which means that the bigger the share of ICT specialists in the overall active population, the more businesses will adopt and use AI technologies. Therefore, the conclusions emphasize the important role that ICT specialists play when discussing about raising the rate of adoption of newer technologies, based on AI and the content of the paper underlines the fact that the more businesses and companies use and invest in AI, the more these technologies will be used in other industries as well, such as finance and education, the least playing a critical role in forming the next generation of ICT specialists with a strong knowledge in the AI field. The role these specialists play in growing the rate of adoption of AI technologies is also confirmed by the literature review. Moreover, the paper also presents a series of conclusions relevant to entrepreneurs and teachers that are willing to include these kind of technologies into their daily activities and also a series of measures to stimulate the rate of adoption of artificial intelligence based technologies in the European Union.
Rules as Code in Telecommunication Industry: Routing in Fiber Optics Networks
Authors: Văduva Mihnea-Alexandru , Păvăloiu Ionel-Bujorel 
Published: July 2024

Abstract
Rules as Code refers to the idea of creating and ratifying laws which can be easily encoded and accepted by computing systems, ensuring a truly digital mode of governance. Through this methodology of integrating machine-readable legislation into the governance process, all systems that involve the usage of laws can be transfigured into more agile forms, eliminating the degrees of separation that appear when normal legislation must be adapted into serviceable formats for various industries. In the context of engineering, the need to translate laws into actionable instructions is enhanced, especially with the advent of AI-tools, machine learning and large language models, which require proper, concise and relevant input data to ensure the output comes out as requested. The concept is extremely new - its research started a few years ago and currently; a number of states and universities are exploring methodologies to employ the concept of Rules as Code in both the lawmaking and project-making processes. In this scientific paper we endeavor to study the case of applying Rules as Code in the field of fiber-optic network design, in particular looking at the legislation which governs this process in Romania, and to interpret it through the aforementioned Rules as Code lens. Special interest will be given to practical implementations of the concept in this field, as the constraints that can be extracted through the implementation have an important impact in how network projects are developed. The results can lead to improved efficiency in the development of projects, considering the fact that interpreting the legislation and evaluating the network in regards to legislation compliance is one the most time and resource consuming parts of the overall process. The progress of Rules as Code ensures digital compatibility for citizen-centered services, governance and jurisdiction, being an essential step in the Digital Transformation.
Produksi Virgin Coconut Oil Menggunakan Enzim Kasar dari Getah Biduri (Calotropis gigantea)
Authors: Putra I Gede Adi Darmaja , Antara Nyoman Semadi , Suwariani Ni Putu 
Published: July 2024

Virgin Coconut Oil (VCO) is a processed coconut product that has many benefits and high selling value. Enzymatic is one of the methods of making VCO. This study aims to determine the effect of splint crude concentration and incubation temperature on the characteristics of the resulting VCO. This study used factorial Group Randomized Design (RAK) with 2 factors. The first factor is the concentration of enzymes with 4 levels, namely: 0%, 0.15%, 0.20% and 0.25%. The second factor is the incubation temperature which consists of 3 levels, namely: 35 o C, 40o C and 45oC. The variables analyzed include yield, moisture content, %FFA, peroxide number and organoleptic tests include color, aroma and taste. The results showed that there was an influence of enzyme concentration and incubation temperature on the yield and moisture content of VCO. While in free fatty acids (%FFA), it has no effect. The enzyme concentration of 0.25% and incubation temperature of 40oC resulted in the best VCO characteristics with the highest yield, namely, 42.65%, moisture content of 0.045%, and free fatty acid content of 0.026%, colorless color (4.00), fragrant aroma (4.00) not rancid, taste (3.85) Enough to taste coconut oil. The VCO produced is of very good quality because it has met the requirements of SNI 7381: 2008 related to VCO quality standards.
Keywords : VCO, Rough Enzim Biduri, Incubation Temperature.
Virgin Coconut Oil (VCO) adalah produk olahan kelapa yang memiliki banyak manfaat dan nilai jual yang tinggi. Enzimatis adalah salah satu metode pembuatan VCO. Penlitian ini bertujuan untuk mengetahui pengaruh konsentrasi kasar biduri dan suhu inkubasi terhadap karakteristik dari VCO yang dihasilkan. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK) faktorial dengan 2 faktor. Faktor pertama adalah konsentrasi enzim dengan 4 taraf yaitu: 0%, 0,15%, 0,20% dan 0,25%. Faktor kedua adalah suhu inkubasi yang terdiri dari 3 taraf yaitu: 35oC, 40oC dan 45oC. Variabel yang di analisis meliputi rendemen, kadar air, %FFA, bilangan peroksida serta dilakukan uji organoleptik meliputi warna, aroma dan rasa. Hasil penelitian menunjukan bahwa terdapat pengaruh konsentrasi enzim dan suhu inkubasi terhadap rendemen dan kadar air VCO. Sedangkan pada asam lemak bebas (%FFA), tidak berpengaruh. Konsentrasi enzim 0,25% dan suhu inkubasi 40oC menghasilkan karakteristik VCO terbaik dengan rendemen tertinggi yaitu, 42,65%, kadar air 0,045%, dan kandungan asam lemak bebas 0,026%, warna (4,00) tidak berwarna, aroma (4,00) harum tidak tengik, rasa (3,85) Cukup berasa kahas minyak kelapa. VCO yang dihasilkan berkualitas sangat baik karena sudah memenuhi peryaratan dari SNI 7381:2008 terkait dari standar mutu VCO.
Kata kunci: VCO, Enzim Kasar Biduri, Suhu Inkubasi.
Studi Perubahan Warna Dan Kekuatan Tarikan Eceng Gondok Hasil Pemutihan Menggunakan Hidrogen Peroksida
Authors: Muktaridha Muktaridha , S Irhami , Ali Syurkani 
Published: July 2024

Water hyacinth is an aquatic plant often used as a craft product because it is attractive for its various positive properties but requires further handling, especially regarding its color. White is one of the most popular types, and the manufacturing process involves bleaching stages using chemical compounds such as hydrogen peroxide (H2O2). The use of H2O2 in the bleaching process still has consequences for the quality of the material, which becomes easily damaged, and the bleaching process, which involves the presence of sunlight or ultraviolet lamps, occurs more quickly. This research examines the relationship between the duration of soaking water hyacinth in H2O2 solution in the presence of direct light or in dark conditions on its color and tensile test strength. Based on the research results, the Hue, Saturation, and Value (HSV) color data increase the brightness based on saturation and value data. Tensile test capability testing carried out using the Universal Testing Machine (UTM) instrument showed that immersing water hyacinth in H2O2 for 4-8 minutes did not cause a significant change in tensile test capability, so it was still possible for various purposes as a raw material in the creative industry.
Keywords: bleaching, hydrogen peroxide, water hyacinth, tensile strength
Eceng gondok merupakan salah satu tanaman air yang sering digunakan sebagai produk kerajinan karena memiliki daya tarik pada berbagai sifat positif yang dimiliki, namun diperlukan penanganan lebih lanjut terutama pada warnanya. Warna terang merupakan salah satu tipe yang banyak digemari dan proses pembuatannya menggunakan tahapan pemutihan menggunakan senyawa kimia seperti hidrogen peroksida (H2O2). Penggunaan H2O2 pada proses bleaching masih memiliki konsekuensi pada kualitas bahan yang menjadi mudah rusak, serta proses bleaching yang melibatkan kehadiran sinar matahari maupun lampu ultraviolet akan terjadi lebih cepat. Penelitian ini bertujuan melihat hubungan antara durasi perendaman eceng gondok dalam larutan H2O2 pada kondisi kehadiran sinar secara langsung maupun dalam kondisi gelap terhadap warna dan kekuatan uji tariknya. Berdasarkan hasil penelitian ditemukan data warna Hue, Saturation, dan Value (HSV) menunjukkan kecenderungan (trend) yang baik terutama untuk data saturation dan value. Pengujian kemampuan uji tarik didapatkan bahwa perendaman eceng gondok dalam H2O2 antara 4-8 menit praktisnya tidak menyebabkan perubahan kemampuan uji tarik, sehingga masih memungkinkan untuk berbagai keperluan sebagai bahan baku di industri kreatif.
Kata kunci: bleaching, hidrogen peroksida, eceng gondok, kuat tarik
Performance of Iron Ore Tailings/Cement Composite at High Temperatures: Inconbustibility
Authors: Carrasco Edgar Vladimiro Mantilla , Mantilla Judy Norka Rodo 
Published: July 2024

Objective: This study aims to evaluate the performance of an iron ore tailings/cement composite at high temperatures, used in brick manufacturing. Specifically, it investigates the non-combustibility of the material and its structural integrity after exposure to intense heat, with an emphasis on compressive strength and the economic and sustainable viability of this composite.

Theoretical Framework: The research is based on concepts of sustainability in civil construction and the reuse of industrial waste. The literature highlights the synergy between iron ore tailings and Portland cement, resulting in materials with good durability and non-combustibility. Previous studies indicate a reduction in environmental impact and the economic feasibility of using these composites as substitutes for traditional materials, in addition to the importance of maintaining structural strength under extreme conditions.

Method: The adopted methodology involves the manufacture of test specimens using CP V-ARI cement and iron ore tailings, molded and cured according to Brazilian standards. Non-combustibility tests are conducted in a muffle furnace at 750°C, measuring temperature variation, smoke emission, and mass loss. Additionally, compressive strength tests are conducted before and after heat exposure to assess material degradation.

Results and Discussion: The results indicate that the composite exhibits satisfactory non-combustibility properties, with an average mass loss of 3.1%, well below the permissible limit of 50%. However, a significant loss of 67.5% in compressive strength was observed after exposure to high temperatures. The discussion contextualizes these results, highlighting the need to optimize the composition to minimize strength loss, although non-combustibility remains a positive aspect.

Research Implications: Practical implications include the potential use of the composite in environments subject to high temperatures, as a passive fire protection measure. Theoretically, the research contributes to the understanding of the behavior of cementitious composites with industrial waste under extreme conditions, suggesting directions for future studies and applications in civil engineering and sustainable construction.

Originality/Value: This study makes an original contribution by exploring the specific combination of iron ore tailings with cement at high temperatures, providing new insights into its applicability and limitations. The relevance of the research lies in the potential reduction of environmental impact and the promotion of sustainable practices in civil construction, as well as enhancing fire safety in buildings.
Strategic Labor Induction: a Methodological Proposal Towards the Professional Development of Academic Staff in the Polytechnical Universities of the State of Hidalgo, Mexico
Authors: Vergara Luis Ortega , Rosales Raymundo Lozano , Torres María del Rosario López , Martínez María de Lourdes Amador 
Published: July 2024

Objective: This research analyzes the perceptions and experiences of the academic staff of the Polytechnic Universities (UP) of the state of Hidalgo, Mexico, regarding the receipt of job induction at the beginning of their hiring or reinduction every time said staff has been promoted or transferred to another area of academic nature. This study aims to substantiate, contrast and interpret how essential strategic job induction is in the (UP) subsystem to trigger the long-term professional development of academic staff in said sector.

Theoretical Framework: The present study examines background research that conceptualizes, substantiates and theoretically and pragmatically interprets the phenomenon of job induction as an important requirement after the process of recruitment, selection and hiring of personnel, through its documentation in a procedure, manual, program and records.

Design/Methodology/Approach: The methodology used in the present study was grounded theory as a methodological paradigm of the qualitative approach to analyze and interpret the perceptions, sensations and experiences when receiving or not receiving induction/reinduction practices, with the purpose of substantiating the importance of strategic job induction to trigger the professional development of the academic staff of the (UP) of the state of Hidalgo, Mexico.

Findings: Theoretical conceptions dictate that job induction is a process that should be applied to newly hired employees and solely for the purposes of welcoming and adapting to the work environment; however, the results of the study showed that job induction should be strategic by allowing permanent two-way communication between collaborator and organization and lead towards the professional development of the academic staff of the (UP) of the state of Hidalgo, Mexico.

Research, Practical and Social Implications: The perception and analysis of the induction actions received by the academic staff of the (UP) of the state of Hidalgo, Mexico, can allow the formulation of a methodological guide that strategically guides labor induction and thus triggers the development professional of the academic staff of the (UP) of the state of Hidalgo, Mexico.

Originality/Value: This article shows an orientation to understand the vitality of strategic job induction focused on the academic staff of the (UP) of the state of Hidalgo, Mexico, and its impact on professional development.