bluuebunny/crossref_metadata_2025 huggingface dataset:
jtetTraining Urgency to Bridge the Digital Divide for Social Media Marketing Awareness and Adoption: Case of CBT Rural Homestay Operators Malaysia
Authors:   Universitas Negeri Yogyakarta, Murniati Dewi Eka , bin Abdul Razzaq Abdul Rasid ,   Universiti Tun Hussein Onn Malaysia, bin Ismail Affero ,   Universiti Tun Hussein Onn Malaysia, Mota Luis ,   Europeia University Portugal Quinta do Bom Nome
Published: April 2023

Despite the fact that using social media for arranging trips is becoming increasingly important, community-based tourism (CBT)ofMalaysianrural homestay operators still heavily rely on traditional marketing platforms and third parties’ assistance to gain tourist attraction. Previous studies found a lack of awareness constraining social media marketing adoption in small enterprises. Hence, thisstudy aimsatexploringthe awareness of homestay operators regarding the use of social media as a marketing toolin CBT of rural homestay operators in Malaysia. A survey study was doneby using a semi-structured interview involvingnine respondents from nine homestays across Johor, Malaysia. The data wereanalysed using thematic analysis. The findings show that the community still has low awareness ofthe digital divide as well asthe unavailability of relevant human resources and technical expertise. It also indicated that the homestays’ operatorsstilluse Malay rather than English on their social media promotion and interaction, which restricts their chancesto access global markets.It is critical for operators of homestays to improve their competencies to maintain their businesses and increase their level of market competitiveness.Therefore, this study constitutes an essential call for stakeholders’ attention to enhance CBT rural homestay operators’ awareness through effective training. Accordingly, it closes the digital gaps that challenge social media marketing awareness and hence encourages technology adoption in the community.
Readiness and Challenges of the Construction Industry in Implementing Building Information Modelling (BIM)
Authors:   Universiti Tun Hussein Onn Malaysia, Mohd Saf’a Miza Raimi , Kiong Tee Tze ,   Universiti Tun Hussein Onn Malaysia, Abd Nasir Nuraliah ,   Universiti Tun Hussein Onn Malaysia
Published: April 2023

Building Information Modelling (BIM) is one of the innovative approaches that has been developed and widely accepted in the construction industry. In Malaysia, BIM usage is still low and not many firms have taken full advantage of its potential despite theinvestment in BIM being proven to be well worth the cost of implementation to organizations. Therefore, this study has been conducted to identify the current status of BIM implementation in Malaysia. This study uses a qualitative approach with an explanatory research design to explore the phenomenon of BIM implementation in the construction industry. This study was aimed to identify the readiness and challenges in BIM implementation from twelve (12) participantsfrom consultants and contractors in Malaysiawho have already implemented and not have implemented BIM where the researcher used purposive sampling technique with snowballing sampling. In obtaining the data from participants, the researcher has conducted a semi-structured interview data collection technique. The data were then analyzedusing thematic analysis to identify patterns and themes among the research questions in two categories of participants. This study finds that the rate of BIM implementation in construction industry is very low and the most factors influence companies’ readiness in BIM implementation from both categories of participants are client, enforcement from authority and lack of project that needs BIM. This study also found that the most challenges faced in BIM implementation areBIM exposure, cost implementation and others. In addition to that, this study proposing effective strategies for enhancing the BIM implementation in Malaysia such as introducing of BIM in university curriculum, BIM enforcement from the authority and others.
Experts’Opinion Matters!Green Technology Elements for Construction Technology in Vocational Colleges
Authors:   Universiti Tun Hussein Onn Malaysia, Kaliappan Anusuya , Hamid Hashima ,   Universiti Tun Hussein Onn Malaysia, Madar Ahmad Rizal ,   Universiti Tun Hussein Onn Malaysia
Published: April 2023

Green Technology refersto clean energy production, the use of alternative fuels,and technologies that are less harmful to the environment than fossil fuels.It has garnered a significant amount of interest due to increasing awareness about the impacts of climate change and the depletion of natural resources.While the buildings emit more carbon dioxide and other greenhouse gases than other industries, the use of Green Technology will be able toreduce human impacts on the natural environmentand prevent climate change. Therefore, the purpose of this study isto investigate the Green Technology Elements for Construction Technology in Vocational Collegethat is seen fundamental as these students will be in the construction workforce in the future. The study was conductedusing the Fuzzy Delphi Method (FDM) involving a combination of 20 experts with various expertise from a heterogeneous group. Aset of questionnaires using a 7-point Likert Scale was formed based on expert interviewsin the first phase of this studyand the data obtained were then analysed using triangular fuzzy numbers and ranking for each variable was determined using the defuzzification process. The findings showed that all elements listed reached the experts’ consensus. Expert consensus also found that the Carbon Initiatives element ranked first meanwhile the Introduction to Green Technologyelement ranked last in the list of elements. These elements are agreed upon inpreparing academically exemplary individuals while ensuring every graduate from Vocational College, especially from the Construction Technology course is equipped with job-ready skills to tackle real-life problems.
The Best Practices of Mcdonald’s Malaysia: A Case Study of the National Dual Training System
Authors:   Universiti Tun Hussein Onn Malaysia, Rohiat Mohd Akmal , Sern Lai Chee ,   Universiti Tun Hussein Onn Malaysia, Md Yunos Jailani ,   Universiti Tun Hussein Onn Malaysia, Ibrahim Badaruddin ,   Universiti Tun Hussein Onn Malaysia, Md Salleh Kahirol ,   Universiti Tun Hussein Onn Malaysia, Rahim Mohd  Bekri ,   Universiti Tun Hussein Onn Malaysia, Rozali Zulfadhli ,   Universiti Tun Hussein Onn Malaysia, Hamdan Norhidayah ,   Universiti Tun Hussein Onn Malaysia, Janis Ilyana ,   Universiti Tun Hussein Onn Malaysia, Primus Marzita ,   Gerbang Alaf Restaurants Sdn Bhd
Published: April 2023

The National Dual Training System (NDTS) was officially launched in February 2018 and there are five NDTS-approved McDonald’s practical training locations at the early implementation of the NDTS. By 2025, 450 McDonald’s Malaysia restaurants are expected toexpand, adding 10,000 jobs to the current workforce of 12,000 employees. Based on the increasing number of employees and positive implementation of the NDTS program in McDonald’s Malaysia, this study aimed to explore the best practices of McDonald’s Malaysia in the context of NDTS. Methodologically, a qualitative approach was employed in this study by conducting a group discussion with the McDonald’s personnel, document analysis (such as news, annual reports, and websites) and a literature review. From thethematic analysis, the findings highlight the best practices of McDonald’s Malaysia and the positive implications of the NDTS implementation. A review of McDonald's training and skill development around the world provides additional support for the findings. Significantly, this study contributes to promote the best practices of McDonald’s Malaysia, the positive image of McDonald's Malaysia and the positive implications of NDTS in supporting skills development in Malaysia.
Assessing elementary understanding of electromagnetic radiation and its implementation in wireless technologies among pre-service teachers
Authors: Gavrilas Leonidas , Kotsis Konstantinos T.
Published: April 2023

The research on the knowledge and perceptions of electromagnetic radiation among teachers who will teach these topics in primary and secondary education is relatively limited. According to existing literature, electromagnetic radiation is a challenging and complex concept for students to comprehend. Despite the widespread use of radiation-emitting devices like cell phones and wireless networks, the misuse of the term “radiation” has resulted in various misconceptions. This study aimed to examine the elementary understanding of electromagnetic radiation and its application in wireless technologies among prospective primary and secondary education teachers from different specialties. 427 pre-service teachers participated in the survey, and the data was gathered through a closed questionnaire. The study’s overall conclusion was that teachers’ knowledge regarding electromagnetic radiation was insufficient. The curricula of their departments, their interests in high school courses, and their gender significantly affect their understanding of electromagnetic radiation and its application to wireless technologies.
Cyrilo-Methodian tradition and its forms in some works of Slovak literature
Authors: LAUKOVÁ Silvia , KAIZEROVÁ Petra
Published: April 2023

Fordinálová, E., 2009. Older Slovak literature. 2nd amended edition. Trnavská univer-zita in Trnave: Trnava. (In Slovak) Keruľová, M., 2009. Value aspects of literary and spiritual heritage. In: Hodnotové aspekty staršej literatúry. Nitra: Univerzita Konštantína Filozofa in Nitra, pp.87–96. (In Slovak) Ratkoš, P., 1968. Sources to the History of Great Moravia. Bratislava: Vydavateľstvo Slovenskej akadémie vied. (In Slovak) Rúfus, M., 2013. Distant Face. In: Between duration and history. Cyril and Methodius in Slovak Literature. Nitra: Univerzita Konštantína Filozofa in Nitra. (In Slovak) Šafárik, P. J., 1851. Monuments of the wooden art of lettering of Jugoslavians. 1st edi-tion Praha. (In Czech) Sládkovič, A. , 2013. The Cyrilo-Methodian linden tree. In: Between duration and history. Cyril and Methodius in Slovak Literature. Nitra: Univerzita Konštantína Filozofa in Nitra. (In Slovak) Tibenský, J., 1965. Praises and Defences of the Slovak Nation. Bratislava: Vyda-vateľstvo krásnej literatúry. (In Slovak) Tibenský, J., 1954. Imprint of the introductory study for a selection from the work. Bratislava: SAV. (In Slovak) Great Moravia in the millennium in the words of sources, legends, chronicles and beautiful writings, 1985. Compiled by R. Krajčovič. Bratislava: Tatran. (In Slovak) From the treasury of older Slovak writing, 1997. Bratislava: Tatran. (In Slovak) Zambor, J., 2012. A few letters in praise of Constantine Cyril. In: Poetic translations and interpretations. Bratislava: Literárne informačné centrum. (In Slovak) The Life of Constantine, 2007. Chapter XIV. In: From the treasury of the older Slovak writing. Compiled by J. Minárik. Bratislava: Tatran. (In Slovak) The Life of Methodius, 2007. Chapter VII. In: From the treasury of the older Slovak writing. Compiled by J. Minárik. Bratislava: Tatran. (In Slovak)
PEMETAAN POTENSI KOMODITAS HORTIKULTURA UNGGULAN DI KOTA BATU
Authors: Sika  , Mubarokah Mubarokah , Priyanto Eko
Published: April 2023

Horticulture is the agricultural subsector that is mostly occupied by farmers, this can be seen from the amount of land use for horticulture which is more dominant than other agricultural subsectors, according to the Department of Agriculture and food security, the horticulture sector has a planting area of ​​6449,758 hectares with a total area of ​​6449,758 hectares. As many as 71 horticultural commodities are cultivated, Batu City is one of the areas in East Java that relies on the agricultural sector for its economic development, but Batu City does not yet have a clear picture of the specifications for leading commodities, especially the horticulture sub-sector. The analytical tool that can be used to determine base and non-base commodities is Location Quotient (LQ) analysis, while the tool used to classify the growth of each commodity can use Shift Share Analysis (SSA), then the results of the two analyzes are combined with the Batu City geographic map using the technique Overlay so as to produce a map of Batu City's leading commodities. With the focus of research on every sub-district in Batu City, this is because the sub-district is an integral part of the city.
Review Literatur: DINAMIKA PENGEMBANGAN PERKEBUNAN SAGU BERKELANJUTAN BERBASIS KEARIFAN LOKAL
Authors: Partini Partini , Noer Melinda , Suliansyah Irfan , Devianto Dodi
Published: April 2023

Sago is a native Indonesian plant that has the potential to be developed as a food and non-food source because it has several advantages, namely high starch content, resistance to climate change, being able to grow and adapt to marginal environments. Sustainability of sago plantation management must meet environmental, economic, social and institutional aspects. The purpose of this study is to identify the dynamics in the development of sago plantations and forms of local wisdom that can support the development of sustainable sago plantations. The research method used is a qualitative approach with Systematic Literature Review (SLR). The results of article review show that the development of sago plantations faces constraints of low productivity and unsustainability from social, economic, environmental culture and institutional aspects. Meanwhile in the community there are local wisdom sago management practices that have a positive effect on the five aspects of sustainability. However, previous study is still partial and does not focus on the sago plantation sector. Research questions about how to develop sustainable sago plantations based on comprehensive local wisdom is the novelty that are offered to be answered in future research.
Omni-Channel retailing enhancing unified experience amidst pandemic: An emerging market perspective
Authors:   Australian Artificial Intelligence Institute (AAII), School of Computer Science, Faculty of Engineering & Information Technology, University of Technology Sydney, Sydney, Australia, Joshi Sudhanshu , Sharma Manu ,   Department of Management Studies, Graphic Era Deemed to be University, Dehradun, India, Chatterjee Prasenjit ,   MCKV Institute of Engineering, West Bangal, India
Published: April 2023

The research aims to explore the strength of enablers, and adoption barriers present in omnichannel retailing (OCR), and discuss how organizations may focus to redesign their business models in emerging markets to manage the disruptive environment. The prominent enablers may enhance the omnichannel’ performance to deliver a unified experience across all channels during the pandemic time. The paper has used hybrid Multi-Criteria Decision-Making (MCDM) Methods. These methods are widely used by organizations for the exploration of the interrelationship among barriers and enablers affecting their performance. In the current study, 18 experts from different domains have examined and evaluated the 10 barriers and 7 enablers. The study reveals that integration, visibility, internet accessibility, and advanced distribution centers are the prominent enablers and driving the customer analytics enabler to strengthen their customer engagement and providing a unified experience to the. During the pandemic time the usage of the online channels have increased and thus retail channels may consider these enablers to enhance the unified experience level of the customers. The study also shows that inconsistency in price is the main adoption barrier followed by inconsistency in product discounts that should be minimized to engage customers effectively. The retail organizations need to understand the roadblocks in the adoption of OCR and should take relevant actions to minimize them. The retail organization or marketers may redesign their existing strategies based on price consistency, integration, visibility, information systems, and coordination to develop a unified experience across channels during the pandemic situation.
Association rule mining for prediction of COVID-19
Authors:   Department of Production Engineering, Jadavpur University, Kolkata, West Bengal, India, Rai Vishnu Kumar , Chakraborty Santonab ,   Industrial Engineering and Management Department, Maulana Abul Kalam Azad University of Technology, West Bengal, India, Chakraborty Shankar ,   Department of Production Engineering, Jadavpur University, Kolkata, West Bengal, India
Published: April 2023

COVID-19 is a raging pandemic that has created havoc with its impact ranging from loss of millions of human lives to social and economic disruptions of the entire world. The catastrophic shock of COVID-19 in India is also enormous. Currently, India has the largest number of COVID cases in Asia. Therefore, error-free prediction, quick diagnosis, disease identification, isolation and treatment of a COVID patient have become extremely important. Nowadays, mining knowledge and providing scientific decision making for diagnosis of diseases from clinical datasets has found wide-ranging applications in healthcare sector. In this direction, among different data mining tools, association rule mining has already emerged out as a popular technique to extract invaluable information and develop important knowledge-base to help in intelligent diagnosis of distinct diseases quickly and automatically. In this paper, an attempt is put forward to develop a predictive model based on frequent pattern growth algorithm of association rule mining to determine the likelihood of COVID-19 in a patient. It identifies breathing problem, fever, dry cough, sore throat, abroad travel and attended large gathering as the main indicators of COVID-19. Based on a large clinical dataset, a linear regression model is also proposed having an accuracy of 73.9% in correctly predicting the occurrence of COVID-19.
New intuitionistic fuzzy parametric divergence measures and score function-based CoCoSo method for decision-making problems
Authors:   Department of Mathematics, Government College Satna, Madhya Pradesh, India, Tripathi Dinesh Kumar , Nigam Santosh K. ,   Department of Mathematics, Government College Satna, Madhya Pradesh, India, Rani Pratibha ,   Department of Engineering Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India, Shah Abdul Raoof ,   Department of Statistics, Government Degree College, Pulwama, Jammu & Kashmir, India
Published: April 2023

The present study introduces a decision-making approach with the combined compromise solution (CoCoSo) under intuitionistic fuzzy sets (IFSs) named as the IF-CoCoSo method based on proposed divergence measures and score function. The aim of the presented approach is to obtain an effective solution for multi-criteria decision-making problems on IFSs context. In this line, a new procedure is presented to derive the criteria weights using generalized score function and parametric divergence measures of IFSs. To compute the criteria weight, a generalized score function and parametric divergence measures are developed on IFSs and discussed some interesting properties. Further, the presented approach is applied to rank and evaluate the therapies for medical decision making problems, which demonstrates its applicability and feasibility. Finally, comparative and sensitivity analyses are discussed for validating the developed method.
Intuitionistic multi fuzzy ideals of near-rings
Authors:   Department of Mathematics, University of Baltistan Skardu, Gilgit Baltiistan 16100, Pakistan, Batool Nadia , Hussain Sadaqat ,   Department of Mathematics, University of Baltistan Skardu, Gilgit Baltiistan 16100, Pakistan, Kausar Nasreen ,   Department of Mathematics, Faculty of Arts ans Sciences, Yildiz Technical University, Istanbul, Turkey, Munir Mohammed ,   Department of Mathematics, Government Postgraduate College 22010, Khyber Pakhtunkhwa, Pakistan, Li Rita Yi Man ,   Department of Economics and Finance, Hong Kong Shue Yan University, Hong Kong, China, Khan Salma ,   Department of Mathematics and Statistics Hazara University Mansehra, 21120, Khyber Pakhtunkhwa, Pakistan
Published: April 2023

Real-world data is often partial, uncertain, or incomplete. Decision-making based on data as such can be addressed by fuzzy sets and related systems. This article studies the intuitionistic multi-fuzzy sub-near rings and Intuitionistic multi-fuzzy ideals of near rings. It presents some of the elementary operations and relations defined on these structures. The concept of level subsets and support of the Intuitionistic multi-fuzzy sub-near ring is also presented. It looks into and demonstrates a few characteristics of intuitionistic multi-fuzzy near-rings and ideals. This research advances fuzzy set theory, which is often applied to problems involving pattern recognition and multiple criterion decision-making. Thus, the results may be beneficial to artificial intelligence related research. Alternatively, the intuitionistic multi-fuzzy approach may be applied to vector spaces and modules or extended to inter-valued fuzzy systems.
Generalized Z-fuzzy soft β-covering based rough matrices and its application to MAGDM problem based on AHP method
Authors:   Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632 014, Tamil Nadu, India, Sivaprakasam Pavithra , Angamuthu Manimaran ,   Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632 014, Tamil Nadu, India
Published: April 2023

Fuzzy, rough, and soft sets are different mathematical tools mainly developed to deal with uncertainty. Combining these theories has a wide range of applications in decision analysis. In this paper, we defined a generalized Z-fuzzy soft -covering-based rough matrices. Some algebraic properties are explored for this newly constructed matrix. The main aim of this paper is to propose a novel MAGDM model using generalized Z-fuzzy soft -covering-based rough matrices. A MAGDM algorithm based on the AHP method is created to recruit the best candidate for an assistant professor job in an institute, and a numerical example is presented to demonstrate the created method.
Examining the aspects of institution choice in connection with the internationalization of higher education
Authors:   Hungarian University of Agriculture and Life Sciences (MATE), Godollo, Hungary, Janik Henrietta , Naár-Tóth Zsuzsanna ,   Hungarian University of Agriculture and Life Sciences (MATE), Godollo, Hungary, Vinogradov Szergej ,   Hungarian University of Agriculture and Life Sciences (MATE), Godollo, Hungary
Published: April 2023

International student mobility is increasing and transforming the image of higher education institutions. This study examines the factors that motivate international students in choosing a destination country. The aspects of the institution selection were examined using a non-parametric test, factor analysis and principal component analysis based on a sample of 270 people. Relying on the results of the research conducted in Hungary, the paper examines the factors influencing the selection of the destination country and further research examining the elements effecting the selection of the final host institution. Based on these results, the study disputes that economic and social impulses within the country of origin serve to “push” students abroad. However, the decision of which destination country to choose depends on several “pull” factors. The study features the usefulness of the quality of human environment, geographic proximity, tuition and living costs, scholarship opportunities, job opportunities after graduation, and the reputation of the destination country or institution, as well as the impact of linguistic proximity on student flow. The present empirical research reveals the close relationships between some pull factors, such as favourable geographical location, institutional support, the quality of the human environment, the expected balanced work environment after graduation, and the country of origin of international students. The results of the factor analysis confirm the underlying structure of the learning variables used in this research and provide empirical support for its application in future studies of international students' higher education study experiences.
Evaluation of the social-cultural competitiveness of cities based on sustainable development approach
Authors:   School of Engineering, Universidad Catolica del Norte, Larrondo 1281, Coquimbo, Chile, Komasi Hossein , Zolfani Sarfaraz Hashemkhani ,   School of Engineering, Universidad Catolica del Norte, Larrondo 1281, Coquimbo, Chile, Nemati Alireza ,   Department of Industrial Engineering and Management Systems, Amirkabir University of Technology (Tehran Polytechnic), Tehran 15875-4413, Iran
Published: April 2023

The terms of competitiveness at the level of places and sustainable development were created in the 1980s and 1990s. In the beginning, most researchers emphasized the dimension of economic competitiveness, but in recent decades, other aspects of competitiveness, such as socio-cultural and environmental, have been highlighted. The aim of the present research is evaluation the social­­-cultural competitiveness in the city of Kermanshah based on a sustainable development approach. This research is descriptive and analytical, the TOPSIS model was used for data analysis, and Entropy was used to weight the indicators. After applying the weight of the indicators in the TOPSIS model, The research findings showed that the city of Kermanshah in the TOPSIS model, ranks 15th with a coefficient of 0.209; in the MABAC model, ranks 14th with a coefficient of -0.116 and in the EDAS model, ranks 14th with a coefficient of 0.122579271 is in the last and 14th position of socio-cultural competitiveness. The results showed that; Considering the nature of urban competitiveness, which is multidimensional, it is necessary to avoid a one-sided approach in urban competitiveness planning and to consider the socio-cultural, environmental, and security dimensions of urban competitiveness in an integrated manner. To improve the competitiveness of Iranian cities, while paying attention to the internal competitive advantages of the 15 studied cities, special attention should be paid to the fields of economic, environmental, socio-cultural, and security competitiveness. Each of these cities concerns their competitive role in transnational dimensions. This requires special attention to the national macro-plans.
Application of fuzzy TOPSIS for prioritization of patients on elective surgeries waiting list - A novel multi-criteria decision-making approach
Authors:   Department of Business and Engineering Management, Sir Syed CASE Institute of Technology, Islamabad, Pakistan, Rana Hassan , Umer Muhammad ,   Department of Business and Engineering Management, Sir Syed CASE Institute of Technology, Islamabad, Pakistan, Hassan Uzma ,   NUMS Department of Public Health, National University of Medical Sciences, Rawalpindi, Pakistan, Asgher Umer ,   Quality Assurance & NUST International Office Directorate, National University of Sciences and Technology, Islamabad, Pakistan, Silva-Aravena Fabián ,   Facultad de Ciencias Sociales y Económicas, Universidad Católica del Maule, Talca, Chile, Ehsan Nadeem ,   Department of Business and Engineering Management, Sir Syed CASE Institute of Technology, Islamabad, Pakistan
Published: April 2023

Prioritizing patients is a growing concern in healthcare. Once resources are limited, prioritization is considered an effective and viable solution in provision of healthcare treatment to awaiting patients. Prioritization is a preferred approach that helps clinicians to apportion scarce resources fairly and transparently. In this study, a novel methodology of prioritizing the patient is formulated using fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The objective is based on actual hospital conditions in Pakistan. The proposed methodology has two contributions: objective scoring mechanism that translates the patient’s condition given in human linguistic terms; and second methodology to prioritize patients according to corresponding scores. To validate the proposed methodology, simulation was carried out on actual data collected in real-time by surgeons, while providing consultations to their patients. The proposed methodology outperforms the traditional methodology by reducing average waiting time by 34% (from 4.246 to 2.810 days), minimize wait time and delays by 46.7% (from 15 to 8 days), and number of surgery days by 18%. The majority of the previously presented researched methodologies prioritize the patients subjectively. This study presents an objective methodology to prioritize the patients and decrease wait-times while ensuring transparency and equity.
Progress towards the innovation potential of the European union member states using grey relational analysis and multidimensional scaling methods
Authors:   Faculty of Mining, Safety Engineering and Industrial Automation, Silesian University of Technology, Poland, Tutak Magdalena , Brodny Jarosław ,   Faculty of Organization and Management, Silesian University of Technology, Poland
Published: April 2023

The article presents the results of a study aimed at assessing the level of innovation potential of European Union member states. The research was based on 8 diagnostic variables characterizing the two most important dimensions of innovation, namely human resources and R&D expenditures. As a result of the research, the levels of innovation potential of European Union countries between 2010-2020 were specified. The GRA approach and multidimensional scaling were used for the study. Based on the results, the European Union countries were divided into 4 classes. The findings showed large differences in this potential across countries, which was graphically illustrated by using the multidimensional scaling method. In addition, using two non-parametric tests, (Spearman Rank Correlation Coefficient and Kendall Correlation Coefficient), relationships between the innovation potential of member states and selected economic and innovation parameters of their economies were determined. The results of the study indicate that in the old EU-14 countries, this level was at a significantly higher level than in the new EU-13 countries. The EU-27 innovation potential leaders were found to be Finland, Sweden, Luxembourg, Denmark, and Germany. The worst performers, on the other hand, are Malta and Romania. Also, geographically, there were noticeable differences between the countries studied. The results presented should be used to develop strategies and implement policies for sustainable innovative development in the European Union. To the best of the authors' knowledge, this study is a new contribution to assessing the level of innovation potential of European Union member countries and determining the relationship of this potential with selected parameters of the economy of these countries.
The m-polar fuzzy set ELECTRE-I with revised Simos’ and AHP weight calculation methods for selection of non-traditional machining processes
Authors:   Saraswati College of Engineering, Kharghar, Navi Mumbai, Maharashtra, 410210, India, Jagtap Madan , Karande Prasad ,   Veermata Jijabai Technological Institute, Matunga, Mumbai, Maharashtra, 400019, India
Published: April 2023

Using improvements to the recently published m-polar fuzzy set (mFS) elimination and choice translating reality-I (ELECTRE-I) approach for calculating criteria weights, the selection of a Non-Traditional Machining (NTM) process problem from the industry is solved in this research. The criteria weights for the m-polar fuzzy ELECTRE-I method are evaluated using the Analytical Hierarchy Process (AHP) approach and the Revised Simos' method. For the ELECTRE family's criteria weight calculations, the Simos’ approach has been revised. Many researchers calculated the weight of the criteria in the selection of the NTM process using the AHP approach. Problems with both physical and intangible properties can be solved using the m-polar fuzzy ELECTRE-I approach. Additionally, it has the ability to solve MCDM issues with more variables. The improved Simos' technique is used in this work because it incorporates user choices for the criteria, or user voting for the criterion. Using expert assistance, the AHP technique prioritizes the criterion based on pair-by-pair comparisons of the criteria. The AHP approach makes compromises between the criteria. The ultimate selection of the process based on the needed aim is affected by both tangible and intangible features in the NTM selection dilemma. The impact of criteria weight techniques on the choice of the NTM process is examined using a single dimensional sensitivity analysis. AHP approach is proven to be less stable for criteria weight variation than the improved Simos' weight calculation method. The updated Simos' method, which takes into account user preferences, performs better for the m-polar fuzzy ELECTRE-I algorithm than the AHP weight calculation method.
Deep learning based an efficient hybrid prediction model for Covid-19 cross-country spread among E7 and G7 countries
Authors:   Department of Computer Engineering, Munzur University, Tunceli, Turkey, Utku Anıl
Published: April 2023

The COVID-19 pandemic has caused the death of many people around the world and has also caused economic problems for all countries in the world. In the literature, there are many studies to analyze and predict the spread of COVID-19 in cities and countries. However, there is no study to predict and analyze the cross-country spread in the world. In this study, a deep learning based hybrid model was developed to predict and analysis of COVID-19 cross-country spread and a case study was carried out for Emerging Seven (E7) and Group of Seven (G7) countries. It is aimed to reduce the workload of healthcare professionals and to make health plans by predicting the daily number of COVID-19 cases and deaths. Developed model was tested extensively using Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE) and R Squared (R2). The experimental results showed that the developed model was more successful to predict and analysis of COVID-19 cross-country spread in E7 and G7 countries than Linear Regression (LR), Random Forest (RF), Support Vector Machine (SVM), Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM). The developed model has R2 value close to 0.9 in predicting the number of daily cases and deaths in the majority of E7 and G7 countries.
Selecting features by utilizing intuitionistic fuzzy Entropy method
Authors:   Department of Computer Science and Engineering, Technocrats Institute of Technology, Bhopal, Madhya Pradesh, India, Pandey Kiran , Mishra Arunodaya ,   Department of Mathematics, Government College Raigaon, Satna, Madhya Pradesh, India, Rani Pratibha ,   Department of Engineering Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India, Ali Jabir ,   School of Engineering and Technology, Department of Computer Science and Engineering, Sharda University, Greater Noida, Uttar Pradesh, India, Chakrabortty Ripon ,   Capability Systems Centre, School of Engineering and Information Technology, UNSW Canberra, Australia
Published: April 2023

Feature selection is the most significant pre-processing activity, which intends to reduce the data dimensionality for enhancing the machine learning process. The evaluation of feature selection must consider classification, performance, efficiency, stability, and many factors. Nowadays, uncertainty is commonly occurred in the feature selection process due to time limitations, imprecise information, and the subjectivity of human minds. Moreover, the theory of intuitionistic fuzzy set has been proven as an extremely valuable tool to tackle the uncertainty and ambiguity that arises in many practical situations. Thus, this study introduces a novel feature selection framework using intuitionistic fuzzy entropy. In this regard, new entropy for IFS is proposed first and then compared with some of the previously developed entropy measures. As entropy is a measure of uncertainty present in data (features), features with higher entropy values are filtered out, and the remaining features having lower entropy values have been used to classify the data. To verify the effectiveness of the proposed entropy-based feature selection, some experiments are done with ten standard benchmark datasets by employing a support vector machine, K-nearest neighbor, and Naïve Bias classifiers. The outcomes of the study validate that the proposed entropy-based filter feature selection is more feasible and impressive than existing filter-based feature selection methods.
Sustainable resilient supplier selection for IoT implementation based on the integrated BWM and TRUST under spherical fuzzy sets
Authors:   Faculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran, Bonab Shabnam Rahnamay , Haseli Gholamreza ,   Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Puebla, Mexico, Rajabzadeh Hamed ,   Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Puebla, Mexico, Ghoushchi Saeid Jafarzadeh ,   Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Puebla, Mexico, Keshteli Mostafa Hajiaghaei ,   Tecnologico de MonterreyTecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Puebla, Mexico, Tomaskova Hana ,   Faculty of Informatics and Management, University of Hradec Kralove, 50003 Hradec Kralove, Czech Republic
Published: April 2023

Supplier selection process plays a vital role in supply chain management and is the most important variable in its success. With increasing environmental considerations, organizations must consider sustainability considerations and economic goals to protect the environment. Furthermore, the destructive effects of disruptions on the supply chain performance of companies have prompted organizational experts to pay special attention to the concept of resilience. This study developed an integrated approach based on the extended version of Multi-Criteria Decision-Making (MCDM) methods in a spherical fuzzy (SFS) environment to address sustainable and resilient IoT supplier selection. In the proposed approach, the main criteria (i.e., resilience, and sustainability) have been used in the supplier selection process. Then, these criteria are weighted using the developed SFS-Best-Worst Method (BWM), which reduces uncertainty in pairwise comparisons. In the next step, the 14 selected IoT suppliers are evaluated and prioritized by applying SFS-mulTi-noRmalization mUlti-Distance aSsessmenT (TRUST) that considers a multi-normalization algorithm to reduce subjectivity in normalized data. The results of this study shows that the pollution control and risk-taking sub-criteria are placed in the first and second priorities, respectively. The comparison of the results of the SFS-TRUST with other MCDM methods and sensitivity analysis demonstrates the performance of the proposed approach and its ranking stability in various scenarios.
Complex fermatean neutrosophic graph and application to decision making
Authors:   Laboratory of Information Processing, Faculty of Science Ben M’Sik, University of Hassan II, Casablanca, Morocco, Broumi Said , Mohanaselvi Swaminathan ,   Department of Mathematics, SRM Institute of Science and Technology Kattankulathur-603203, India, Witczak Tomasz ,   Institute of Mathematics, Faculty of Science and Technology, University of Silesia, Bankowa 14, 40-007 Katowice, Poland, Talea Mohamed ,   Laboratory of Information Processing, Faculty of Science Ben M’Sik, University of Hassan II, Casablanca, Morocco, Bakali Assia ,   Ecole Royale Navale-Boulevard Sour Jdid, Morocco, Smarandache Florentin ,   Department of Mathematics,University of New Mexico,705 Gurley Avenue, Gallup, NM 87301, USA
Published: April 2023

A new growing area of neutrosophic set (NS) theory called complex neutrosophic sets (CNS) provides useful tools for dealing with uncertainty in complex valued physical variables that are observed in the actual world. A CNS take values for the truth, indeterminacy and falsity membership functions in the complex plane's unit circle. In this research, a novel concept of complex fermatean neutrosophic graph (CFNG) is established. We proposed the order, size, degree and total degree of a vertex of CFNG. Also, we presented the primary operations such as complement, union, join, ring-sum and cartesian product of CFNG. Moreover, the concept of regular graph under complex fermatean neutrosophic environment is discussed. Finally, an application of multi criteria decision making problem in educational system to evaluate lecturer’s research productivity using CFNG is discussed.
Reliability based framework for failure analysis in milk process industry
Authors:   Dr. B R Ambedkar National Institute of Technology Jalandhar, Punjab, India, Gopal Nand , Panchal Dilbagh ,   Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, Haryana, India
Published: April 2023

The suggested hybridized framework offers a paradigm for performance optimization-reliability-based analysis of milk processing unit’s (MPU) failure behavior in the dairy industry. The proposed hybridized framework led to the development of fuzzy Jaya Based Lambda-Tau (JBLT) technique-based mathematical model for computing various performance parameters of the under-consideration unit. The availability of the system drops by 0.044% as the level of uncertainty or spread level increases from ± 15% to ± 25% and drops to 0.088% as the level of uncertainty increases from ± 25% to ± 60%. To corroborate the system’s availability downward trend, the results of JBLT approach were compared with Particle Swarm Optimization-Based Lambda-Tau (PSOBLT) and conventional Fuzzy Lambda-Tau (FLT) techniques. The analysis findings were given to the maintenance manager so they could create the best maintenance schedule for the considered plant.
Interpolative Contractive Results for $m$-Metric Spaces
Authors: KHAN Safeer , RAZA Ali
Published: April 2023

In this paper, we initiate the study of fixed points for interpolative mappings in m-metric spaces. We discuss
three different cases: the sum of interpolative exponents" is less than, equal to or greater than 1. We support
each of our result by examples in m-metric spaces. In the last section, we obtain our results in p-metric
spaces. Finally we note that our results generalize results of [3], [4] and [5] from ordinary metric to m- and
p-metrics.
Modul: Metodelogi Studi Islam
Authors: Ravico Ravico , Alfian Muhammad
Published: April 2023

Dalam modul satu ini, mahasiswa akan diajak untuk memahami Islam dan Agama-agama. Hal ini menjadi penting, dikarenakan sebelum mempelajari mengenai metodologi Studi Islam, mahasiswa perlu mengetahui apa itu Islam, serta bagaimana kaitannya dengan agama lainnya untuk menjadi dasar pengetahuan dalam pengembangan materi kedepannya.Modul satu ini akan membahas mengenai tiga aspek dari Islam dan agama-agama, yaitu materi mengenai: Islam dalam wacana agama-agama, signifikansi Studi Islam, dan pertumbuhan Studi Islam di dunia. Materi ini masih berupa materi umum dan awal dari metodologi Studi Islam.
Differential expression of TNMD in cancer of the head and neck: oral squamous cell carcinoma.
Authors: Mamoor Shahan
Published: April 2023

Head and neck cancers are an emerging public health problem and most are now thought to be caused by high-risk human papillomavirus infection (1-3). We mined published and public microarray datasets (4, 5) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with oral squamous cell carcinoma (OSCC). We found significant differential expression of the gene encoding tenomodulin, TNMD, when comparing OSCC tumor tissue to the tissue of origin. TNMD mRNA was present at significantly lower quantities in tumors of the head and neck as compared to normal tissues from the head and neck. Analysis of human survival data revealed that expression of TNMD in head and neck tumors was correlated with recurrence-free survival in patients with head and neck cancer. TNMD expression changes may be important for the initiation or progression of human OSCC.
Entanglement for Thee, Collapse for Me: An Interpretation of Quantum Mechanics Based on the Relativity of Information
Authors: Mohazab Ali R.
Published: April 2023

We propose an information-centric interpretation of quantum mechanics. According to this interpretation, a quantum mechanical system, $A$, can always choose a basis in which its own state is an eigenstate; it never sees itself in a superposition. This holds true even if, from the perspective of another system $B$, $A$ is entangled with system $S$. In this case, $A$ and $S$ are in eigenstates (in their own systems) with their counterpart subsystem wave functions collapsed in the entangled degrees of freedom, but they are entangled according to $B$. This interpretation does not introduce new physics, and is consistent with the experimental predictions of quantum mechanics. At the same time, it avoids many ambiguities and potential inconsistencies associated with other interpretations. We further clarify concepts of measurement, macroscopic superposition, entanglement, and the dichotomy between the classical and quantum realms, in accordance with our interpretation.
SISTEM PEREDARAN DARAH IKAN
Authors: As Wahdaniyah , Artinah Mira
Published: April 2023

Ikan hampir dapat ditemukan di semua tipe perairan di dunia dengan bentuk dan karakter yang berbeda-beda. Ikan termasuk kelompok vertebrata bernafas dengan menggunakan insang dan termasuk berdarah dingin (poikilotermik). Ikan memiliki sistem peredaran darah tertutup yang artinya darah tidak akan keluar dari pembuluhnya, sehingga tidak ada hubungan langsung dengan sel tubuh di sekitarnya. Makalah ini bertujuan untuk menganalisis sistem peredaran darah ikan. Sistem peredaran darah ikan bersifat tunggal yaitu hanya terdapat satu jalur sirkulasi peredaran darah. Bermula dari jantung, darah menuju insang untuk melakukan pertukaran gas. Selanjutnya, darah dialirkan ke dorsal aorta dan terbagi ke organ-organ tubuh melalui saluran?saluran kecil dan sebagian darah dari insang terkadang langsung kembali ke jantung. Organ utama sistem peredaran darah ialah jantung yang bertindak sebagai pompa tekan merangkap pompa hisap. Darah memberi bahan materi dengan perantaraan difusi melalui dinding yang tipis dari kapiler darah, dan kembali ke jantung melalui pembuluh yang ke dua. Seri pertama dinamakan sistem arteri dan seri ke dua disebut sistem vena.
Hukum Lembaga Keuangan Syari'ah Non Bank Di Indonesia
Authors: Noor Afif
Published: April 2023

This book describes the Forms of Sharia Non-Bank Financial Institutions from a Legal Perspective