bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integration of EVs through RES with Controlled Interfacing
Authors: Zaman Shah , Ashraf Nouman , Rashid Zeeshan , Batool Munira , Hanif Javed 
Published: December 2023

Abstract
Electric cars have a lot of promise in future energy markets as a manageable load. A popular vehicle-to-grid control interface, which enables the aggregation of the charging mechanism for energy management in the distribution grid, is one of the most significant road blocks to realize this opportunity. Understanding the ecology of electric transportation and integrating it in local communities to alleviate the energy shortage at peak hours is very complicated. In this research paper, recent standardization initiatives aimed at overcoming obstacles such as the integration of electric cars into smart grids are discussed. A charge control scheme focused on vehicle-to-grid connectivity is implemented. It is observed that the rise of environmentally sustainable energy sources, such as photovoltaic (PV) and wind energy, is straining the power network and their infrequent power generation is causing problems in power system operation, regulation and planning. The introduction of electric vehicles (EVs) into the electricity grid has been proposed to overcome grid load variations. Finally, the article discusses the incorporation of renewable energy sources and latest potential solutions involving electric vehicles.
Comparative Study on Workforce Transformation Strategy and SME Policies in Indonesia and Malaysia
Authors: Adhiatma Ardian , Nurhidayati  , Fachrunnisa Olivia , Lukman Najah , Majid Md Noh Ab. 
Published: December 2023

Abstract
This study aims to compare efforts to digitise SMEs in Indonesia and Malaysia, particularly in the Central Java and Kuala Terengganu regions, especially in the cultural context and perceptions of SME owners, in terms of workforce transformation. Data were collected on the creative industry SMEs in Central Java and Kuala Terengganu, with a sample size of 241 at each location. The collected data were then analysed using the ANOVA difference test and the SPSS regression test. This study’s results prove differences in the levels of agile leadership, organisational ambidexterity and workforce transformation in SMEs in Central Java, Indonesia and Kuala Terengganu, Malaysia. Agile leadership and organisational ambidexterity have also been shown to positively and significantly affect workforce transformation. The results of this study contribute to improving the theoretical understanding of SME workforce transformation in Indonesia and Malaysia, particularly the development of academic science in management. In addition, this study also provides information, recommendations, and references to SME entrepreneurs related to strategic planning to optimise performance in maintaining the sustainability of their businesses. This study also provides a practical contribution as a reference for improving the performance of SMEs in Indonesia and Malaysia.
Towards Intelligent Automation (IA): Literature Review on the Evolution of Robotic Process Automation (RPA), its Challenges, and Future Trends
Authors: Siderska Julia , Aunimo Lili , Süße Thomas , Stamm John von , Kedziora Damian , Aini Suraya Nabilah Binti Mohd 
Published: December 2023

Abstract
Robotic Process Automation (RPA) and Artificial Intelligence (AI) integration offer great potential for the future of corporate automation and increased productivity. RPA rapidly evolves into Intelligent Process Automation (IPA) by incorporating advanced technologies and capabilities beyond simple task automation. The paper aims to identify the organisational, technological, and human-centred challenges that companies face in transitioning from RPA to IPA. The research process involved conducting the scientific literature search using the ResearchRabbit AI tool, which provided a set of reference papers relevant to the formulated research questions. As a result of the conducted literature review, the authors identified key challenges and possible countermeasures for companies transitioning from RPA to IPA. The resulting collection of reference scientific articles formed the basis for this study’s content and substantive analysis. Furthermore, this study contributes by identifying artificial intelligence techniques and algorithms, such as Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), predictive analytics, and others, that can be integrated with RPA to facilitate the transition to IPA. The paper also offers insights into potential future research areas.
Hierarchical Risk Communication Management Framework for Construction Projects
Authors: Mansour Mohammad A. , Beithou Nabil , Alsqour Moh’d , Tarawneh Sultan A. , Rababa’a Khalid Al , AlSaqoor Sameh , Chodakowska Ewa 
Published: December 2023

Abstract
Risk, as an effect of uncertainty, is associated with every human activity. Like any other industry, construction companies are eager to reduce the uncertainty of reluctant events. A well-planned risk communication system could contribute to the success of a construction project. A proper announcement protocol could be a mitigating lever for identified or unidentified risks during planning and monitoring processes. This research aims to present a risk communication management system (RCMS) for construction companies involved in large projects. The proposed model includes a step-by-step communication procedure considering the authority level within the organisational hierarchical structure. The model aims to remove the ambiguity of risk communications during the construction process under uncertain conditions. It leaves no or little room for the emergence of unplanned risks. The proposed communication structure has been implemented in GRC cladding construction projects, and the risk communication time and response have been significantly improved.
A Systematic Literature Review on the Transformation of Entrepreneurial Intention to Entrepreneurial Action
Authors: Rohanaraj Thangarasa Tiburtrious Andrew 
Published: December 2023

Abstract
Transformation of entrepreneurial intention to action is a relatively new field of research that has attracted considerable interest from researchers over the past decade. This literature review has endeavoured to systematise and categorise the past studies to comprehend their actual research focus. The study has used 65 articles published between 1981 – 2020, divided into two categories, as articles published between 1981-2000 and 2001 – 2020. This study has used PRISMA framework, with well-defined exclusion and inclusion clauses, to identify relevant articles. The review found psychosocial influence to be the major focus of entrepreneurship research during year 1981-2000 period, while entrepreneurial mindset, entrepreneur’s family background, gender, behavioural control and entrepreneurial eco system, to be the major focus of the studies conducted between year 2001 and 2020. This review also found quantitative research methodology to be more popular among entrepreneurship researchers with regression analysis and structural equation modelling being most preferred for data analysis. This study has identified University students to be the most preferred unit of observation, while nascent entrepreneurs were found to be the least preferred. The study has also identified intention-action transformation to be a relatively new field of study with the field only gaining momentum over the past decade. This study adds value to the existing literature, through systemization and categorization, while supporting the administrators, policymakers, universities, and future researchers.
Analyzing the Relationship Between Inventory Policies and CSR Practices: Case of Jordanian Companies
Authors: Shakhatreh Hisham Jadallah Mansour , Salman Asma , Aldrou Khaled Khalaf Abed Rabbo , Comite Ubaldo , Alazzam Farouq Ahmad Faleh 
Published: December 2023

Abstract
The present research aims to assess the impact of inventory policies on the Corporate Social Responsibility practices of companies listed on the Amman Stock Exchange. The companies included in the research belonged to manufacturing or related sectors in which holding inventory is inevitable. The sample size chosen for the research was 45 companies, mainly because of the availability of financial data from the period 2012 to 2022. The data for the research was extracted from the Amman Stock Exchange, and we utilized a regression-based ANOVA model for our analysis, containing the dummy variable to enhance the model’s validation and facilitate the statistical analysis, hence enabling a deeper understanding. We utilized. We also used the GMM model to validate our analysis. The financial variables of the research were based on the reported financial statements of the companies. The study explores the impact of the relationship between inventory policy and Corporate Social Responsibility on the different stakeholders, such as customers, employees, and environmental groups. We found that the CSR disclosure requirements also tend to have an impact on the inventory policies of these companies. Our results revealed that inventory levels are positively associated with satisfied customers. We found that the company’s total CSR and sales ratio do not have a straight-line relationship. It led us to conclude that inventory levels are positively associated with satisfied customers.
Informal education for boys only? The theme of gender in the work of Jaroslav Foglar
Authors: Jirásek Ivo , Macků Richard , Němec Jiří , Jarkovská Lucie 
Published: December 2023

Abstract
The paper deals with the work of the Czech children’s author Jaroslav Foglar from a gender perspective, reflecting on two themes in particular: the absence of heroines; and his understanding of boys’ reciprocity and friendship with the adoration of physicality. The impetus for this analysis was data from a questionnaire survey, the aim of which was to determine which aspects of Jaroslav Foglar’s work are most appreciated by readers and which they think apply to real life. The quantitative analysis of the data (n=1174) did not reveal any statistically significant differences in the men’s and women’s responses; however, the qualitative analysis of the open-ended statements is illustrative of the underrepresentation of girls among literary heroes. The diverse ways in which Foglar’s work captures friendships between boys allow even today’s readers to expand their perceptions of masculinity beyond traditionally defined boundaries.
Digital Forensics and Computer Crimes: The Case of North Macedonia
Authors: Imeri-Saiti Deshira , Hamiti Mentor 
Published: December 2023

Abstract
The subject of the research refers to the aspect of digital forensics and computer crime and the latter is one of the reasons for the evolution of crime in general. Based on the growing trend of technology development and the increase in the number of digital crimes, a special emphasis is given to the statistical aspect of computer crime as well as measures to reduce the impact of computer crime, including the ethical and legal aspects in the Republic of North Macedonia (RNM).
To conduct this research, statistical data on computer crime in RNM from 2011 to 2020 were used, based on historical data of analysis, as well as comparison, correlation, and the ANOVA-test.
The highest number of crimes were registered in 2020 and a special feature is that a positive linear trend can be observed during the last decade. “Damage and unauthorized access to a computer system” took the first place in computer crimes according to the Criminal Procedure Law.
Non-Traditional Security Threats and NATO’s Response in the Contemporary Security Environment
Authors: Halili Albulena 
Published: December 2023

Abstract
This research paper emphasizes the importance of NATO’s adaptation to non-traditional threats in maintaining stability and security in the changing security environment. It highlights the need for NATO allies to prioritize the development of strategies and action plans that address emerging issues such as new technologies, energy security, climate change, hybrid threats, and cyber threats.
The paper suggests that in order to effectively counter these non-traditional threats, NATO must remain current with the latest technological advancements. As such, the paper recommends that NATO allies develop new strategies and action plans without delay to counter these threats and ensure security. The relevance of NATO can only be ensured through its transformation and adaptation, which in turn makes its existence self-justified.
Growth and yield responses of two cowpea (Vigna unguiculata L.) varieties on different irrigation levels
Authors: Mentari Bunga Permata , Purnamawati Heni , Sulistyono Eko 
Published: December 2023

Cowpea (Vigna unguiculata L.) or kacang tunggak in Indonesian belongs to the Leguminoceae family and is recently still a less commercial crop. This study was conducted to determine irrigation volume based on pan evaporation and its effects on the growth, yield, and irrigation water use efficiency (IWUE) of cowpea (Vigna unguiculata L.) grown in the plastic house. The amount of water applied was based on pan evaporation (Eo). This experiment used a split-plot randomized complete block design; the main plot was cowpea varieties (Albina and Uno), and subplots were irrigation volume (0.75, 1.50, 2.25, and 3.0 Eo). The data were subjected to analysis of variance; then, the means were compared using Duncan’s Multiple Range Test (DMRT). All tests were considered significant at p < 0.05. The experimental results showed that the water requirement during the vegetative phase for 5 consecutive weeks for the Albina variety was 2.91 Eo, 3.0 Eo, 3.0 Eo, 3.0 Eo, and 2.11 Eo; for the Uno variety was 3.0 Eo, 3 .0 Eo, 3.0 Eo, 2.94 Eo, and 2.10 Eo, respectively. For the Albina and Uno varieties at the generative phase, the plant water requirements were 1.66 Eo and 1.79 Eo, respectively. In cowpea farming, the optimum treatment for efficient water use or lowest usage of water was determined to be 2.25 Eo of irrigation volume combined with the Albina variety. Cowpea growth and productivity are significantly impacted by irrigation volume.
Keywords: Albina variety; evaporation; kacang tunggak; Uno variety; water efficiency
Simultaneous Sizing of a Rocket Family with Embedded Trajectory Optimization
Authors: Jo Byeong-Un , Ho Koki 
Published: December 2023

This paper presents a sizing procedure for a rocket family capable of fulfilling multiple missions, considering the commonalities between the vehicles. The procedure aims to take full advantage of sharing a common part across multiple rockets whose payload capability differs entirely, ultimately leading to cost savings in designing a rocket family. As the foundation of the proposed rocket family design method, an integrated sizing method with trajectory optimization for a single rocket is first formulated as a single optimal control problem. This formulation can find the optimal sizing along with trajectory results in a tractable manner. Building upon this formulation, the proposed rocket family design method is developed to 1) determine the feasible design space of the rocket family design problem (i.e., commonality check), and 2) if a feasible design space is determined to exist, minimize the cost function within that feasible space by solving an optimization problem in which the optimal control problem is embedded as a subproblem. A case study is carried out on a rocket family composed of expendable and reusable launchers to demonstrate the novelty of the proposed procedure.
Statistical Analysis of the Surface Roughness on Aircraft Icing
Authors: Sotomayor-Zakharov Denis , Radenac Emmanuel , Gallia Mariachiara , Guardone Alberto , Knop Inken 
Published: December 2023

A statistical analysis of the surface roughness is performed on experimentally obtained ice shapes on an asymmetrical airfoil at [Formula: see text]. The ice shapes were generated in the Icing Wind Tunnel of the Technical University of Braunschweig under Appendix C and O conditions of the EASA airplane certification standards as part of the ICE GENESIS project. The photogrammetry method is used for the digitization of the experimental ice shapes, while statistical parameters such as the mean ice shape and the local root mean square (RMS) of the ice geometry are extracted using a traditional surface projection method, as well as a self-organizing maps approach. Results show the evolution of the statistical parameters over time and the influence of the freestream static temperature on these parameters. A comparison between the experimental values of the local RMS of the ice geometry and a correlation for roughness prediction is presented, showing a good match with the original formulation of the correlation for cases under Appendix C conditions while having a good match with Appendix O conditions when a temperature correction factor is applied to the formulation. Additionally, results show an almost linear growth of roughness over the whole accretion time.
On Machine-Learning-Aided Two-Scale Solution for Turbulent Fluid Flows
Authors: Yao Min , Chen Chen 
Published: December 2023

Scale-resolving solutions for computational fluid dynamics problems have usually been challenging due to their request for computing resources. A two-scale framework was proposed for more efficient solutions to couple a local fine-mesh solution with a global coarse-mesh solution. The methodology was successfully implemented and demonstrated for a canonical turbulent channel flow and for a tripped turbulent boundary layer. The solution mapping from the local fine-mesh to the global coarse-mesh region is realized by modifying the flow-governing equations in the under-resolved coarse-mesh region through adding extra forcing source terms generated from the space–time-averaged fine-mesh solutions. However, the high-gradient transitional region presents additional challenges when applying the Chebyshev spectral method for mapping the source terms; thus the high-gradient frontal region has not been fully resolved in the streamwise direction. In the present work, the propagation of the source terms is facilitated by machine learning tools (multilayer perceptron-based neural network) so as to implement the method in flowfields with high gradients or drastic changes in the mean velocity. The neural-network-based propagation model is shown to be capable of accurately estimating the source terms in the near-wall coarse-mesh region. The mean flow there thus can be nicely reproduced by the source-term propagation. The machine-learning tools thus provide potential as the more advanced source-term propagation method for the two-scale framework to be implemented in more complicated flowfields.
EVALUASI PELAKSANAAN PELAYANAN ADMINISTRASI TERPADU KECAMATAN DI KECAMATAN RUMBAI KOTA PEKANBARU (Studi Pemberian Rekomendasi Izin Pemondokan atau Rumah Kos)
Authors: Prihatin Panca Setyo , Rusadi Sylvina , Adni Dita Fisdian 
Published: December 2023

One of the authority of the district head in the Act of the Rumbai District Head of Pekanbaru City Number: Kpts/23/KR/IX/2014 Regarding the Implementation of Integrated Administrative Services of the Districts in Rumbai District is in terms of granting recommendations for boarding permits or boarding houses. This is considered important because the boarding house business is considered profitable especially if it is located in strategic areas around the university as an educational center. However, this is not accompanied by the obligation of the business owner to take care of boarding house permits as a provision stipulated by the Pekanbaru City Government. Rumbai District is a strategic area for the establishment of several universities today, such as Lancang Kuning University (UNILAK), Caltex Riau Polytechnic (PCR), the Faculty of Health, University of Riau (UR) and others. From the results of interviews and observations of the Integrated District Administration Service (PATEN) in Rumbai District, Pekanbaru City (Study on Giving Recommendations for Boarding Permit or Boarding House) has not run according to the established Standard Operating Procedure (SOP). This can be seen from the existence of a number of complaints from the people who are taking care of a recommendation for a boarding house or boarding house recommendation about the service of the Rumbai sub-district office which is still lacking in terms of information on the Standard Operating Procedure (SOP) of the service and also regarding the time of completion of the recommendation letter.
SUMBER DAYA PADA POLA PEMBELAJARAN JARAK JAUH DI BADAN PENGEMBANGAN SUMBER DAYA MANUSIA PROVINSI RIAU
Authors: Suryani  
Published: December 2023

ABSTRAK
Sumber daya merupakan modal utama/asset yang memiliki elemen-elemen nilai yang diperlukan dalam suatu organisasi ataupun institusi. Pelatihan dengan Pola Pembelajaran Jarak Jauh (PPJJ) dilatarbelakangi karena tidak memungkinkannya hari ini Pelatihan dengan Pola Klasikal dilaksanakan, hal ini disebabkan adanya aturan dari pemerintah yaitu physical distancing akibat Pandemik Covid-19. Keberhasilan pelatihan tersebut tergantung pada sumber daya yang ada, antara lain adalah Sumber Daya Manusia, Media Pembelajaran, Sarana dan Prasarana serta biaya dalam mendukung Pola Pembelajaran Jarak Jauh (PPJJ). Secara khusus tujuan penulisan ini adalah menjelaskan sumber daya yang dapat mendukung pembelajaran pada Pelatihan Pola Pembelajaran Jarak Jauh (PPJJ) di Badan Pengembangan Sumber Daya Manusia Provinsi Riau. Metode menggunakan pendekatan kepustakaan (library research) dengan mengkaji teori-teori para ahli dan menganalisis data serta dokumen. Teknik pengumpulan data menggunakan data primer dan sekunder. Hasil penelitian ini adalah pertimbangan penggunaan media Pola Pembelajaran Jarak Jauh (PPJJ) bagi widyaiswara sebagai fasilitator dengan pertimbangan harus menyesuaikan lokasi dan ketersediaan jaringan.