bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reliability Assessment for Auxiliary Power Supply System of a Nuclear Power Plant Based on the Monte Carlo Simulation
Authors: Ghidu Mihai-Alexandru , Nemeş Ciprian 
Published: November 2023

Abstract
This paper presents a reliability assessment of the Auxiliary Power Supply System (APSS), Class IV of a Nuclear Power Plant (NPP) using the Monte Carlo simulation method. The paper highlights the important role of the APSS in ensuring safe and efficient operation of the plant. The paper provides an introduction to the concept of reliability, emphasizing its significance in the context of NPP. A description of Monte Carlo simulation method is also provided, including its underlying principles and its application to reliability analysis. The paper then describes the role and structure of APSS. A study case is presented to demonstrate the effectiveness of the proposed method in evaluating system reliability. The results of the study suggest that the Monte Carlo simulation method can effectively method to predict the reliability of the APSS.
Prediction of Colour Characteristics of Microwave-Dried Tomato Slices Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference Systems
Authors: Hussein Jelili Babatunde , Oke Moruf Olanrewaju , Agboola Fausat Fadeke , Sanusi Mayowa Saheed 
Published: November 2023

Summary
Variation in the colour of dried tomatoes is frequently a problem for both consumers and processors. This study investigated digital imaging and applied soft-computational modelling using the Artificial Neural Network (ANN) and Adaptive Neuro-fuzzy Inference System (ANFIS) to evaluate the surface colour of microwave-dried tomato slices. The tomatoes were pretreated with water blanching, ascorbic acid, and sodium metabisulphite, then cut into slices of 4, 6, and 8 mm thickness. The slices were then dried in a microwave oven at power levels of 90, 180, and 360 W. The colour characteristics of the dried tomato slices (L*, a*, b*, colour change, browning index, hue, and chroma) were determined. The response variables were modelled and optimised using ANN and ANFIS. The efficiency and performance of the model were assessed using the coefficient of determination (R2), the root means square error (RMSE), and the mean absolute error (MAE). The results revealed the ranges of 36.70 – 48.83, 36.81 – 44.56, 31.03 – 40.34, 8.43 – 21.24, 11.78 – 39.82, 48.15 – 60.11, and 0.82 – 0.87 for the colour characteristics of L*, a*, b*, colour change, browning index, hue, and chroma, respectively. The outcomes showed that ANN and ANFIS models could make more accurate predictions. The predictive models were experimentally validated and agreed with the experimentally obtained values. However, the ANFIS model gave better performance, with higher values for R2 (1.000) and lower values for RMSE (0.02952) and MAE (0.02209). These findings will be helpful to processors and can be scaled up and adjusted for the bulk colour characteristics of microwave-dried tomatoes.
Transversal Skills in the Academic Curriculum of Management School Students in Algeria
Authors: Amghar Meryem , Naga Nahla , Zouambi Anaïs Radja 
Published: November 2023

Abstract
In a context of higher education reform, non-technical skills have gained a particular status as they are now placed at the core of educational programmes. This article aims to understand the involvement of higher education institutions (HEIs) and students in acquiring and developing non-technical skills. Accordingly, we conducted a quantitative survey among students at a management school. The results of this study suggest that students play an active role in their own skill development by engaging in scientific clubs, associations, and teamwork. However, this may not be sufficient to ensure better learning of cross-cutting skills, and higher education institutions must intervene by creating an environment conducive to this growth.
The serological and genetic diversity of the Leptospira interrogans Icterohaemorrhagiae serogroup circulating in the UK
Authors: Arent Zbigniew , Gilmore Colm , Pardyak Laura , Dubniewicz Klaudia , McInerney Barry , Ellis William 
Published: November 2023

Abstract

Introduction
Strains of Leptospira interrogans belonging to two very closely related serovars, Icterohaemorrhagiae and Copenhageni, have been associated with disease in mammalian species and are the most frequently reported agents of human leptospirosis. They are considered the most pathogenic serovars and represent more than half of the leptospires encountered in severe human infections.

Material and Methods
Nineteen such isolates from the United Kingdom – human, domestic and wildlife species – were typed using three monoclonal antibodies (F12 C3, F70 C14 and F70 C24) in an attempt to elucidate their epidemiology. They were further examined by restriction endonuclease analysis (REA), multiple-locus variable-number tandem repeat analysis (MLVA) and lic12008 gene sequence analysis.

Results
Monoclonal antibody F12 C3, which is highly specific for Icterohaemorrhagiae and Copenhageni, confirmed that all the strains belonged to these two serovars. Sixteen strains were identified as Copenhageni and three as Icterohaemorrhagiae serovar. Only one restriction pattern type was identified, thus confirming that REA is not able to discriminate between the Icterohaemorrhagiae and Copenhageni serovars. Variable-number tandem-repeat analysis found three loci with differences in the repeat number, indicating genetic diversity between British isolates. Sequences of the lic12008 gene showed that all isolates identified as the Icterohaemorrhagiae serotype have a single base insertion, in contrast to the same sequences of the Copenhageni serotype.

Conclusion
Copenhageni is the predominant serovar in the Icterohaemorrhagiae serogroup isolated in British Isles. There is a genetic diversity of MLVA patterns of the isolates but no genetic tool used in the study was able to determine serovars.
Optimal Deep Learning-Based Recognition Model for EEG Enabled Brain-Computer Interfaces Using Motor-Imagery
Authors: Rajalakshmi S. , AlMohimeed Ibrahim , Sikkandar Mohamed Yacin , Sabarunisha Begum S. 
Published: November 2023

Abstract
Brain-Computer Interfaces (BCIs) facilitate the translation of brain activity into actionable commands and act as a crucial link between the human brain and the external environment. Electroencephalography (EEG)-based BCIs, which focus on motor imagery, have emerged as an important area of study in this domain. They are used in neurorehabilitation, neuroprosthetics, and gaming, among other applications. Optimal Deep Learning-Based Recognition for EEG Signal Motor Imagery (ODLR-EEGSM) is a novel approach presented in this article that aims to improve the recognition of motor imagery from EEG signals. The proposed method includes several crucial stages to improve the precision and effectiveness of EEG-based motor imagery recognition. The pre-processing phase starts with the Variation Mode Decomposition (VMD) technique, which is used to improve EEG signals. The EEG signals are decomposed into different oscillatory modes by VMD, laying the groundwork for subsequent feature extraction. Feature extraction is a crucial component of the ODLR-EEGSM method. In this study, we use Stacked Sparse Auto Encoder (SSAE) models to identify significant patterns in the pre-processed EEG data. Our approach is based on the classification model using Deep Wavelet Neural Network (DWNN) optimized with Chaotic Dragonfly Algorithm (CDFA). CDFA optimizes the weight and bias values of the DWNN, significantly improving the classification accuracy of motor imagery. To evaluate the efficacy of the ODLR-EEGSM method, we use benchmark datasets to perform rigorous performance validation. The results show that our approach outperforms current methods in the classification of EEG motor imagery, confirming its promising performance. This study has the potential to make brain-computer interface applications in various fields more accurate and efficient, and pave the way for brain-controlled interactions with external systems and devices.
Can Machiavellianism and Money Intentions Influence Entrepreneurial Intention?
Authors: Taboroši Srđana , Rajković Jelena , Stojanović Edit Terek , Berber Nemanja , Poštin Jasmina , Bešić Cariša , Nikolić Milan 
Published: November 2023

Abstract

Background and purpose
The purpose of this research is to examine how Machiavellianism and the desire for money can influence entrepreneurial intentions. It could be assumed that the desire for money and Machiavellian tendencies can develop the desire for success in people and eventually entrepreneurial intention.

Methodology
Respondents were surveyed using a questionnaire. Four hundred students were from three faculties at two universities in Serbia responded the questionnaire. The study utilized Smart PLS software.

Results
It was shown that there is a statistically significant positive impact of Machiavellianism and money intention on entrepreneurial intentions. Money intention is also a mediator in the relationship between Machiavellianism and entrepreneurial intentions. The theoretical contribution of the research is that these influences on entrepreneurial intentions have not been sufficiently examined so far, especially the influence of money intention. The practical significance of the research is the observation of the possibility that people who have a high level of Machiavellianism and money intention can be identified, understood, and systematically directed towards entrepreneurship.

Conclusion
Although the observed characteristics can be considered negative, people who possess them also possess entrepreneurial potential, and can create social good. These motives are not desirable, but such people can be useful for society: it is certainly better to spend energy on entrepreneurial ventures and further development of their own company, than on something else, less useful, or even destructive.
Do geographic location and historical conditions affect the quality and availability of open cadastral data? From early cadastral maps till now
Authors: Busko Małgorzata , Balawejder Monika , Kovalyshyn Oleksandra , Apollo Michal 
Published: November 2023

Abstract
Since the early days, cadastral data represent the geographic extent of the past, current, and future rights and interests in real property. Thus, these data are extremely important for the proper development of statehood and society. The article analyses the process of formation of the real estate cadastre in two countries – Poland and Ukraine – from the time of its establishment to the present. Both countries were in the past (and Ukraine still is) victims of various historical events that deprived them of statehood, stability and opportunities for development; therefore, it affected the development of the cadastre and its accessibility to all stakeholders. The authors attempt to answer the question of if and how geographic location and historical conditions can affect the quality and availability of open cadastral data (OCD). After all, our perception of reality is a direct result of processes originating in history. This paper contains comparisons between a post-Soviet (Ukraine) and a post-communist country (Poland) and their path from early cadastral maps to OCD.
Continued Fraction Representations of the Generalized Operator Entropy
Authors: Ahallal Sarra , Kacha Ali , Mennou Said 
Published: November 2023

Abstract
The direct calculation of the generalized operator entropy proves to be difficult due to the appearance of rational exponents of matrices. The main motivation of this work is to overcome these difficulties and to present a practical and efficient method for this calculation using its representation by the matrix continued fraction. At the end of our work, we deduce a continued fraction expansion of the Bregman operator divergence. Some numerical examples illustrating the theoretical result are discussed.
P-Like Properties of Meager Ideals and Cardinal Invariants
Authors: Marton Adam 
Published: November 2023

Abstract
We study two particular modifications of the P-property of ideals and related cardinal invariants cof𝒥 (ℐ)and cov+(ℐ). We give some results on the existence of P (𝒥)-ideals or non-P (𝒥)-ideals regarding specific classes of ideals, particularly meager ideals on ω. We also provide values of the cardinal invariant cof𝒥 (ℐ) describing the smallest families ensuring P(𝒥) for particular critical ideals. Moreover, we obtain a simple way of proving strict inequalities Fin <
K
〈𝒜 〉 <
K
Fin × Fin for any MAD family 𝒜 using the weak P-ideal notion.
Operation Pc-Open Sets and Operation Pc-Separation Axioms in Bitopological Spaces
Authors: Khedr Fathi Hesham , Sayed Osama Rashed 
Published: November 2023

Abstract
In the present paper, we introduce new types of generalized closed sets called ij -pre-generalized closed sets and study some of their properties in bi-topological spaces. Also, we use them to construct new types of separation axioms. Further, we introduce and study the concepts of pairwise operation pc-open sets and pairwise operation pc-separation axioms in bitopological spaces. Several interesting characterizations of different spaces are discussed. The relationships between these spaces are given.
Optimizing Voyage Costs in Maritime Supply Chains: A Holistic Approach Towards Logistics Service Improvement and Supply Chain Finance
Authors: Prause Gunnar , Olaniyi Eunice O. 
Published: November 2023

Abstract
The multi-objective optimization for voyage planning, which aims to balance time, fuel utilization, and all other relevant service costs, is noticeably absent in the scientific literature. The reason behind this gap is closely linked to the involvement of a large number of participants with conflicting interests in the process. This complexity explains why modelling an optimization tool for maritime logistics services appears challenging. Although new technologies such as blockchains and smart contracts have helped reduce the number of participants and address some complexities, they cannot fully resolve the fragmentation observed in maritime transport.
To address the need for optimized voyage management for vessels, this study takes a holistic approach to voyage costs within the maritime supply chain, similar to how a single company would approach it. The study combines a case study from the container shipping industry, expert interviews, project results, and secondary empirical data research to develop a financial model for optimizing voyage costs. The research opens up opportunities for improving logistics services and developing new business models in the field of supply chain finance.
Development and Practical Application of Hybrid Decision-Making Model for Selection of Third-Party Logistics Service Providers
Authors: Kotlars Aleksandrs , Skribans Valerijs 
Published: November 2023

Abstract
In this study a problematic of logistics service provider selection is discussed. Traditional decision-making techniques are functionally limited and must be adjusted. Modern approach must be based on contemporary tools and information. The aim of this study is to develop a modern, industry-oriented decision-making model for selection of strategic logistics service providers. Main tasks of this study include: to perform critical analysis and comparison of multiple-criteria decision-making methods; to adapt decision-making framework for specific needs of selection of third-party logistics service providers; to collect and analyze industry data related to procurement projects; to develop modern decision-making model for selection of logistics service providers; to perform practical application of developed decision-making model based on collected industry data. The key novelties of this study are developed methodology for collection of industry data for decision-making process, developed hybrid decision-making model for selection of third-party logistics service provider, as well as application of the model. As the result, there is developed decision-making model for selection of 3PL service providers that includes 6 steps.
A Systematic Overview of Decision-Making on Public Transport Systems Using Bibliometric Analysis on Vosviewer
Authors: Sahin Süleyman Nurullah Adahi 
Published: November 2023

Abstract
From the perspectives of users, operators, and the community, decision making for public transportation is regarded as one of the most crucial characteristics to assess quality, ease and preferable. Studies on the decision-making for public transportation have been published. Comprehensive and quantitative investigations are lacking, nevertheless. Additionally, the Scopus database contains very few assessments of public transport integration. The current evaluation was carried out to provide scholars and practitioners with the most recent updates of papers on public transport and decision-making over the last 18 years (between 2005 and 2023), to allay their worries and address their inquiries about better public transport systems. The purpose of this bibliometric analysis and the overview is to encourage future research and collaboration by illuminating the idea of transport decision making studies, highlighting the paucity of relevant works, and providing a summary of the most productive nations, journals, and institutions in the field. A bibliometric analysis of the publications on public transportation and decision-making obtained from the Scopus database was carried out using the VOSviewer software. This allowed researchers to trace the historical and annual records of publications related to decision making covering the top countries, institutions, journals, most frequently used keywords, authors, citation network analysis, and most cited publications. The analysis’s findings identify the indications and interesting issues spots as well as the publications’ remarkable annual rise in decision-making on public transportation systems.
Post-traumatic decompressive craniectomy: Prognostic factors and long-term follow-up
Authors: Dobran Mauro , Di Rienzo Alessandro , Carrassi Erika , Aiudi Denis , Raggi Alessio , Iacoangeli Alessio , Lattanzi Simona , Iacoangeli Maurizio 
Published: November 2023

Background:
Decompressive craniectomy (DC) is still controversial in neurosurgery. According to the most recent trials, DC seems to increase survival in case of refractory intracranial pressure. On the other hand, the risk of postsurgical poor outcomes remain high. The present study aimed to evaluate a series of preoperative factors potentially impacting on long-term follow-up of traumatic brain injury (TBI) patients treated with DC.

Methods:
We analyzed the first follow-up year of a series of 75 TBI patients treated with DC at our department in five years (2015–2019). Demographic, clinical, and radiological parameters were retrospectively collected from clinical records. Blood examinations were analyzed to calculate the preoperative neutrophil-to-lymphocyte ratio (NLR). Disability rating scale (DRS) was used to classify patients’ outcomes (good outcome [G.O.] if DRS ≤11 and poor outcome [P.O.] if DRS ≥12) at 6 and 12 months.

Results:
At six months follow-up, 25 out of 75 patients had DRS ≤11, while at 12 months, 30 out of 75 patients were included in the G.O. group . Admission Glasgow Coma Scale (GCS) >8 was significantly associated with six months G.O. Increased NLR values and the interval between DC and cranioplasty >3 months were significantly correlated to a P.O. at 6- and 12-month follow-up.

Conclusion:
Since DC still represents a controversial therapeutic strategy, selecting parameters to help stratify TBI patients’ potential outcomes is paramount. GCS at admission, the interval between DC and cranioplasty, and preoperative NLR values seem to correlate with the long-term outcome.
Resolve Conflict of Principals in Civilistic Process Through Pyramid of Legal Values
Authors: Кузнецов Д.А. 
Published: November 2023

В настоящей статье исследован вопрос о проблеме конфликта ценностей в цивилистическом процессе, возникшем после распада СССР. Проанализированы существующие представления о ценностях в праве, предлагается ряд вариантов разрешения описанной проблемы. Автором обоснована разработанная теория пирамиды правовых ценностей как средство разрешения ценностных конфликтов в отраслях права и законодательства.
The article examines problematic issues of conflict of values in the civilistic process after collapse of the USSR with existing ideas about values in law being subjected to analysis. Thereupon the paper suggests a number of options aimed at resolving the described problem. The author substantiates a developed theory of pyramid of legal values in the fields of law and legislation.
On Criminal Procedure and Operational-Search Activities Relationship
Authors: Суховей А.А. 
Published: November 2023

В статье автором проанализирована проблема взаимосвязи уголовно-процессуальной и оперативно-розыскной деятельности. Оба вида деятельности рассмотрены с точки зрения правовой базы, принципов, задач, субъектного состава, а также практического взаимодействия участников. Автор акцентирует внимание на проблемных аспектах, которые возникают в процессе сопоставления уголовно-процессуальной и оперативно-розыскной деятельности, приводит основные положения действующего законодательства РФ, регулирующего данную деятельность, а также точки зрения исследователей-правоведов относительно рассматриваемого вопроса.
The article presents the author’s analysis of interrelationship with regard to criminal procedure and operational-search activities. Both activities are examined from a legal perspective and from the point of view of principles, objectives, subject structure and practical interaction of participants. The author focuses on problematic issues arising while comparing criminal procedure and operational-search activities and refers to the key provisions of the current legislation regulating this activity as well as views of legal scholars on the subject.