bluuebunny/crossref_metadata_2025 huggingface dataset:
Money Waqf: The Perception of Pesantren Teacher in Capital City, Indonesia with Multiple Correspondence Analysis
Authors: Meilani Any , Hadziq M Fuad
Published: March 2023

Law of Indonesia, Act, no. 41 of 2004 concerning waqf existed about 15 years ago, but many people do not know about waqf, especially cash waqf. Whereas cash waqf is a major breakthrough in easy, potential and zero cost of fund. This study aims to discuss the teachers of Islamic boarding schools in Jakarta, the capital city of Indonesia about cash waqf. A sample of 138 teachers from five major Islamic boarding schools in Jakarta. Data collection through questionnaires and analysis using the MCA (Multiple Correspondence Analysis) techniques. The results of the study: teachers' perception of waqf was relatively the same, while the perception of cash waqf varied; teachers' perception of aspects of cash waqf regulation are very diverse, especially with the existence of Law no. 41 of 2004 concerning waqf, the teacher's response to the aspect of interest in cash waqf is very diverse, especially interest in waqf money, quite a lot of teachers do not agree; the common perception of teachers is only on the principle that the management of cash waqf must follow the needs of the community, while for other management, quite a lot of teachers still doubt it.
Mitigating, monitoring and assessing the effects of anthropogenic sound on beaked whales
Authors: Barlow Jay , Gisiner Robert
Published: March 2023

Certain anthropogenic sounds are widely believed to cause strandings of beaked whales, but their impacts on beaked whale populations are not known and methods for mitigating their effects are largely untested. The sound sources that have been coincident with beaked whale strandings are military, mid-frequency sonar (2-10kHz) and airgun arrays, both of which are used widely throughout the world for defence and geophysical exploration, respectively and for which alternative technologies are not readily available. Avoidance of beaked whale habitats is superficially a straightforward means of reducing the potential effects, but beaked whales are widely distributed and can be found in virtually all deep-water marine habitats that are free of ice. Some areas of high beaked whale abundance have been identified, but the geographic distribution is poorly known for most species. Beaked whales are both visually and acoustically difficult to detect. Commonly used mitigation measures (e.g. ‘ramp-up’ and ‘detection-modification-avoidance’) have not been assessed for their effectiveness. Surveys to detect population-level impacts would likely require many years of regular monitoring and for most areas where beaked whale strandings have occurred, there are no pre-exposure estimates of population sizes. Risk assessment models can be used to estimate the sound levels to which beaked whales might be exposed under a variety of scenarios, however, the lack of information on the causal mechanism for soundrelated beaked whale strandings makes it difficult to identify exposure levels that would warrant mitigative actions. Controlled exposure experiments, which measure the behavioural responses of animals to fully characterised sound sources, may hold the greatest potential for understanding the behavioural responses of beaked whales to sound and for designing mitigation methods to avoid future impacts.
Abundance and densities of beaked and bottlenose whales (family Ziphiidae)
Authors: Barlow Jay , Ferguson Megan C. , Perrin William F. , Ballance Lisa , Gerrodette Tim , Joyce Gerald , MacLeod Colin D. , Mullin Keith , Palka Debra L. , Waring Gordon
Published: March 2023

Estimating the abundance and density of beaked whales is more difficult than for most other cetacean species. Consequently few estimates appear in the published literature. Field identification is problematic, especially for the smaller species, and visual detection rates decrease dramatically with Beaufort sea state; prior experience is very important to an observer’s ability to detect beaked whales. Passive acoustics may hold future promise for detecting beaked whales from their vocalisations, especially for the larger species. Most published estimates of abundance or density are based on visual line-transect studies that found narrower effective strip widths and lower trackline detection probabilities for beaked whales than for most other cetaceans. Published density estimates range from 0.4-44 whales per 1,000km2 for small beaked whales and up to 68 whales per 1,000km2 for large beaked whales. Mark-recapture methods based on photo-identification have been used to estimate abundance in a few cases in limited geographical areas. Focused research is needed to improve beaked whale abundance and density estimates worldwide.
The Impact of Social Tourism Entrepreneurship on Tourism Sustainability—A Systematic Review
Authors:   Assistant Professor, Department of Business Administration, School of Management and Economics University of Thessaly, Larissa, Geopolis, 41500 Greece, Belias Dimitrios
Published: March 2023

Purpose: Social tourism entrepreneurship is an important topic as it can resolve several social issues and generate sustainable community development. This research aims to examine the impact of social tourism entrepreneurship on sustainable tourism. Design/methodology/approach: The research used a systematic literature review analysis on 20 publications. The PICO framework was adopted to identify the publications on specific criteria, mainly the relativity with the subject. Findings: The findings indicated that social tourism entrepreneurship can have a high value for the tourist industry and a positive outcome for society and its sustainability. Three gaps were identified that need to be taken into consideration for future research. Original/value of the paper: There is a need to examine the existing knowledge on social tourism entrepreneurship and to indicate how new knowledge can be created. The value of this research is that it can be used as grounds for future research.
A Look into the Impact of Syrian Refugees on Women-Owned Micro and Small Enterprises in Jordan
Authors:   Centre for Global Sustainability Studies (CGSS) Universiti Sains Malaysia, Penang, Malaysia, Thaher Lubna Mohd.
Published: March 2023

Jordan has experienced an unprecedented refugee crisis since 2011, adding to the country' s burdens due to the scarcity of resources and previous waves of asylum seekers. Although micro and small enterprises (MSEs) aim to empower women, specifically regarding achieving the UN' s Sustainable Development Goals by 2030, there is very little research focus on this type of enterprise and how refugees impact MSEs' sustainability. Purpose: This paper investigates how Syrian refugees impact Jordanian women-owned MSEs' sustainability. Design: The study used case studies and qualitative interviews with 24 female entrepreneurs whose enterprises did or did not achieve sustainability; five experts were also interviewed. Findings: No significant negative impact of refugees on women' s MSEs was found. Original: This study offers a unique perspective by filling an academic gap in the research on the influence refugees have on women' s MSEs. Implications: Further studies are recommended to build a solid database of female entrepreneurs.
Factors Affecting the Degree of Internationalisation in Jordanian Manufacturing Firms
Authors:   Associate Professor, Department of Business Administration Faculty of Economics & Administrative Sciences The Hashemite University, Zarqa, Jordan, Shraah Ata Al
Published: March 2023

Purpose: The purpose of this study is to examine the factors affecting the degree of internationalisation in Jordanian manufacturing firms. Design/methodology/approach: This study has developed a theoretical framework to examine business factors that impact the degree of internationalisation, including organisational culture, international experience, costs, and technological capabilities. Data were collected from 168 manufacturing firms listed by the Jordan Chamber of Industry. Hypotheses were tested using multiple regression analysis. Study Findings: The findings reveal that three factors affect the degree of internationalisation, organisational culture, international experience, and costs. However, technological capabilities are not an influential factor with regard to the degree of internationalisation. Research limitations/implications: As this study investigates the manufacturing sector only, it would be interesting to examine the extent to which empirical findings apply to other sectors and developing countries. This study is a cross-sectional survey based on cause-effect relationships between business factors and the degree of internationalisation; therefore, a longitudinal methodology would be useful for further research. Practical implications: The creation of an analytical framework designed to improve the degree of internationalisation would enhance the integration of technological capabilities, innovation, production, and investment; in addition, it would be of benefit in terms of international expansion. Technological capacity could be improved by integrating it with other internal resources in order to effectively respond to the expansion of international activities. Originality/value: This study contributes to the internationalisation theory by providing empirical evidence of whether and why business factors influence the internationalisation process, thereby increasing our understanding of how business factors contribute to successfully accessing global markets. Although international business is a practice adopted by firms, the investigation of internationalisation theory is important for both researchers and managers; therefore, this study extends the research conducted on internationalisation, particularly in a developing countries context. Keywords: Internationalization, Business Factors, Manufacturing Firms, Developing Countries, Jordan.
Inflation’s Impact on Sudan Exports 1990-2020: An ARDL Approach
Authors:   Associate Professor of Economics, King Saud University, Saudi Arabia, Aliraqi Ali
Published: March 2023

Purpose: This study investigates the inflation-export nexus in Sudan over the period 1990- 2020. Design/methodology: The study is based on quantitative and qualitative methods, estimating the export function and measuring the impact of its determinants over a prolonged period of time; the Autoregressive Distributed Lag (ARDL) methodology was used to analyse the co-integration. Findings: Findings have undoubtedly shown inflation’s negative impact on exports over the period 1990-2020. Broadly speaking, the long-term results indicated that the most important variable affecting exports is the gross domestic product (GDP), followed by inflation. Interestingly, the results indicated that the exchange rate was not significant, neither in the short nor in the long term. Implications: The study recommends inflation's control policy as a perquisite for an export development strategy; this overcomes barriers and paves the road for shifting Sudan's economy to productive agendas. Therefore, targeting inflation will contribute to export diversification and strengthening the product's value chain. The research findings reconsider the weight of export’s determinants and will reposition focusing to inflation control rather than exchange rate policy. Originality/value: The paper introduces a new approach in modelling the inflation-export nexus: (1) elaborate on export's determinants and their weights; and (2) recommending guidelines to adapt inflation policy with export development strategy. Keywords: Export, Inflation, Sudan economy, ARDL.
SCREENING THE CAPABILITY OF NITROGEN FIXING BACTERIA TO METABOLISE HERBICIDE GLYPHOSATE AS A SOURSE OF PHOSPHORUS
Authors: Мikhailouskaya N. A. , Barashenko T. B. , Pogirnitskaya T. V. , Dyusova S. V.
Published: March 2023

Screening of rhizosphere bacteria Azospirillum sp. and Rhizobium sp. by cultivation in modified liquid mineral media Dvorkin and Foster with increasing concentrations of glyphosate as a sole P-source resulted in the determination of perspective target objects, which are capable of herbicide glyphosate metabolization.
The Role of Dreams in Russian Literature
Authors:   Municipal budgetary educational institution ", Bronskaya K.S. ,   Secondary school No. 144 with in-depth study of individual subjects",   ,  Russia, Semko O.V.
Published: March 2023

Dreams attract by their mysticism, and works of literature are a vivid example of how through them a person can rethink certain aspects of his life, to analyze certain moments. But the main thing is to understand the significance of such a reception on the scale of the whole work. The analysis of works of Russian literature is presented, the analysis and synthesis of dreams in the works of Fyodor Mikhailovich Dostoyevsky "Crime and Punishment" and Mariam Sergeyevna Petrosyan "The House in Which..." are given in detail. It is worth saying that dreams and daydreams of the characters in literature are a common compositional, artistic device. With their help, readers can better understand the feelings, thoughts, experiences of the character. The field that explores dreams in literature is oneiropoetics. Several types of dreams - as an artistic device - are distinguished. Dreams are the most important artistic device, which helps the author to fully convey his idea to the reader. Dreams of the characters allow to better understand their characters, the reasons for their actions, their attitude towards other people and themselves, and sometimes determine their life in general. Dreams foretell the future of the characters, clarify their past, help to make the right choice or try to warn against mistakes.
The Formation process of themicro-welding compound by the ball-wedge method research
Authors:   Nizhny Novgorod State Technical University n.a. R.E. Alekseev, Russia, Antonychev N.N. , Arhipov M.B. , Kozlov I.K. , Poduvaltsev А.А. , Yamgulin R.I.
Published: March 2023

In this study, we researched the process of formation of welded crystal-circuitinterconnections of microchips with the use of gold wire using the "ball-wedge" method. The connection is formed in the solid phase due to severe plastic deformation in the contact zone. The complex of studies includes the modelling of the deformation process of the welding wire and the ball, X-ray phase analysis, modeling on physical samples. It is shown that the formation of a stable quality of welded joints cannot be ensured only by energy of ultrasound; it requires the additional activation of the welding zone, by means of heating or dynamic application of the loading force or modulation of the ultrasound energy. The intensity of plastic deformation in the contact zone increases significantly in case of uneven resistance of the metal to deformation, with a lower value near the welding zone. This will ensure the concentration of plastic deformation and shear stresses in the contact zone and ensure the production of high-quality welded joints. The studies carried out were taken into account in the development of thermal-sound welding installations using the "ball-wedge" method.
The effect of foliar selenium fertilization of leaf radish plants on the quality of finished products
Authors:   Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow, Russia, Galchenko E.I. , Seregina I.I. , Eliseeva O.V.
Published: March 2023

The influence of foliar selenium fertilization of vegetative plants of leaf radish on the quality of finished products is considered. The object of the study is a variety of leaf radish VR–Tv-28 of South Korean selection. Scheme of experience: NPK (background) – control option; NPK + BUT Se 0.0005%; NPK + BUT Se 0.001%; NPK + BUT Se 0.002%; (selenium concentrations). The repetition is threefold. Macro fertilizer used as a background and introduced into the soil during sowing in an amount of 30 g/m2 is nitroammophoska. The plants were treated with a solution of sodium selenite by spraying in the phase of mass molting of the root. In the background versions, the plants were treated with distilled water. It was found that selenium fertilization in the form of non-root treatment of vegetative plants of leaf radish of South Korean selection (variety VR-Tv-28) with sodium selenite solution did not affect the content of dry matter and dry soluble substances, but caused a decrease in the content of ascorbic acid in plants and a decrease in the content of nitrates in the leaves of leaf radish of this variety. It was determined that the use of this type of selenium fertilization of leaf radish plants led to an increase in the concentration of selenium in the leaves by 1.2-1.8 times compared with the control and did not affect its accumulation in the roots.
Hardware of the system for determining coordinates based on satellite navigation
Authors:   Krasnoyarsk State Agrarian University, Krasnoyarsk, Russia, Kovalev D.I. , Cherkasova T.P. ,   Krasnoyarsk Science and Technology City Hall, Krasnoyarsk, Russia, Yablokova A.A. ,   Krasnoyarsk Science and Technology City Hall, Krasnoyarsk, Russia, Podoplelova V.A. ,   Sochi State University, Sochi, Russia
Published: March 2023

The article discusses the hardware of the system for determining coordinates based on satellite navigation. The structural diagram of the device is given and a description of the main functional blocks is given. An experimental installation is presented, which provides communication through a satellite communication system Iridium. According to the results of the experiment, it was found that when flying at cruising speed, you can transfer the coordinates of the location of the aircraft to the control station through both GSM and Iridium. The tests of an experimental model on a aircraft with a larger cruising speed are planned.
Storytelling as a format, genre and techonology
Authors:   The North-West Institute of Management branch of the Russian Presidential Academy of National Economy and Public Administration, Saint-Petersburg, Russia, Nekhaeva A.Y. , Stepanova E.A.
Published: March 2023

What category does the story about today's controversial issue fall into, as it lies between format and genre. The purpose of the scientific work is the search and analysis of storytelling, the choice of its nature, as well as attention to the narrative component. The general conclusions of other scientific concepts of "storytelling", based on the analysis between them and consideration, which are the main features and its main characteristics, are considered. Based on the materials of the Mel media, it is recommended to use storytelling as a technology that journalists cover in interviews, biographies and problematic articles; Definition of its role and function in the text. In addition, the rules for constructing a story are revealed, which will definitely be read to the end. The agreement concludes what a narrative is and why the author needs it. The practical significance of the study involves expanding the evidence base in using the fact that “historical research” does not belong to journalistic genres, but communication as a powerful tool. Observations made during the collection of empirical material can be used in a larger number of observations or the identification of a journalistic work.
Analysis of the economic effect of the introduction of an infrared analyzer of meat products
Authors:   Russian state agrarian University - Moscow state agrarian University named after K.A. Timiryazev, Russia, Sergeeva N.V.
Published: March 2023

Meat processing plants, upon receipt of meat raw materials and the release of finished meat products, carry out their laboratory control for the content of protein, fat, potassium salts, phosphorus, iron, vitamins, amino acids, biotin and detection of pathogenic microflora. Laboratory studies are highly costly and time-consuming, require the participation of a large number of specialists, which affects the cost of products. High-tech equipment and digital tools make it possible to conduct studies of qualitative parameters promptly at a high level of accuracy. It is proposed to install the FoodScan 2 Pro IR analyzer in the production workshops and the FoodScan 2 Lab TS with a touch screen and an integrated computer in the finished product quality control laboratory. The analysis of the introduction of express analyzers in the production workshops and laboratory of Cherkizovsky Meat Processing Plant JSC, which will reduce the complexity of operations, replacing the work of 9 laboratory workers who conduct organoleptic examination of raw materials and its chemical analysis, was carried out. The introduction of modern digital equipment will allow saving the current costs of the plant by more than 9 million rubles or 4.8%. The payback period for one-time costs will be 4.3 years.
Challenges and Preferred Features of Online Distance Learning in Obstetrics & Gynaecology Course: A Qualitative Analysis
Authors: Ramly Fathi , Syawalina Omar Noorkardiffa , Abdullah Bahiyah
Published: March 2023

Introduction: The Covid-19 pandemic has led to unprecedented transformation of the delivery of Obstetrics and Gynaecology (O&G) course to online distance learning (ODL). This study aimed to explore the challenges and preferred features on ODL among the students during the Year 3 O&G course. Methods: This study was a qualitative component of a cross-sectional survey on ‘Students’ Readiness and Perception on Online Distance Learning for Obstetrics & Gynaecology Course during COVID-19 Pandemic’ among Year 3 medical students. It included 193 students post-theory block and 200 students post-clinical block. We described the changes made to the O&G course structure in adopting the ODL. Two open-ended questions were given at the end of each block to explore the research questions. Demographic data was analysed and thematic analysis of the responses was performed. Results: Eight themes of challenges were identified and the top four were poor internet connection, difficulty to understand clinical or practical subjects, difficulty to focus during learning and distraction from the surroundings. On the other hand, seven themes for students’ preferred features on ODL were found which includes enthusiastic tutors, beneficial learning activities, accessible learning material, adequate learning material, interesting topics, flexible learning, and organised teaching structure. Conclusion: Teaching clinical courses such as O&G through ODL can be effective, however, the challenges faced by the students must be addressed and the preferred features on ODL should be further strengthened to maintain the high quality of clinical education. Hence, ODL may continue to supplement the traditional teaching method, despite after pandemic.
A Wake-up Call: Covid-19 and Its Impact on Reforming Biosciences Education Towards Resiliency and Sustainability
Authors: Cheema Manraj Singh , Syed Alwi Sharifah Sakinah , Md Hashim Nur Fariesha , Othman Zulkefley , Sarchio Seri Narti Edayu , Liew Chin Teng , Praveena Sarva Mangala
Published: March 2023

COVID-19’s global pandemic has had a significant impact on bioscience education, which has switched to online learning. Every entity within the higher education ecosystem, whether technical, pedagogical, or social, has faced a number of challenges as a result of this. Regardless, biosciences education stakeholders have been fast to implement innovative strategies to maintain high standards and quality of biosciences online teaching and learning. This paper focuses on the biosciences education transition toward developing resiliency, as well as the technology resources and approaches that have been deployed in the current context to change biosciences education to be robust in the face of the COVID-19 upheaval. Finally, significant insights into ‘resilience sustainability’ approaches that may be employed in relation to the digitisation of biosciences education in a concerted effort to promote resiliency, adaptability and sustainability in biosciences education are presented.
The Association Between Learning Style, Social Demographic Background, and Pharmacology Assessment Result Amongst First Year Medical Students in Universiti Putra Malaysia During Covid-19 Pandemic
Authors: Saat Azmah , Mohd. Thani Suryati , Salihan Safuraa , Muhamad Saliluddin Suhainizam
Published: March 2023

Introduction: A variety of medical treatments are based on the scientific understanding gathered from pharmacology studies. Thus, pharmacology is crucial in medicine. Many universities around the world have resorted to online learning of pharmacology as a result of the unique coronavirus epidemic, which has an indirect impact on the student’s academic achievement. Apart from learning styles, the socio-demographic background of a student, which includes the student’s family income, parental educational level, and residential area, is another important factor that influences pharmacology academic achievement. Methods: This is a cross-sectional study involving first-year medical students at the Faculty of Medicine and Health Sciences Universiti Putra Malaysia which used a questionnaire regarding the socio-demographic background and learning style. In addition, the pupils were given a set of pharmacological questions to assess their academic performance. Results: Findings revealed that the family income had a considerable impact on medical students’ academic performance with a significant value for the Chi-Square at p = 0.013. The pupils’ learning styles had no discernible impact on their academic success with an insignificant Fisher’s exact test value at p = 0.822. Conclusion: Lower-income students (those with parental income below the median) were significantly more likely to have poorer academic outcomes than their higher-income peers. Our findings imply that policymakers can prevent COVID-19 from worsening existing achievement gaps in higher education by focusing on resolving the economic and health burden imposed by COVID-19.
Association Between Level of Knowledge Gained, Confidence, Motivation and Flexibility on Types of Learning for Bedside Teaching Among Clinical Students in Four Malaysian Medical Schools During COVID-19 Pandemic
Authors: Zainal Maaruf Kamilia , Ngio Wei Kiat , Balakrishnan Koustubak , Mohamad Zainal Nurul Hayati , Omar Norsuhana , Ku Mohd Noor Ku Mastura , Wahid Hanan Hamimi , Mohd Nor Nurul Huda
Published: March 2023

Introduction: With the arise of the COVID-19 pandemic, higher institutions are forced to change the method of delivery for bedside teaching sessions from face-to-face to online learning. However, online learning was found not effective in delivering practical knowledge and skills to students. Hence, the objective of this study was to determine the association between level of knowledge gained, confidence, motivation and flexibility on types of learning for bedside teaching sessions among clinical students in four Malaysian medical schools during COVID-19 pandemic. Methods: A cross-sectional study involving medical students from Universiti Putra Malaysia (UPM), Universiti Sains Islam Malaysia (USIM), Universiti Islam Antarabangsa (UIA) and Universiti Sains Malaysia (USM) were conducted from 1st March 2021 until 6th June 2021. An online questionnaire was distributed and it consisted of 5 sections which cover sociodemographic information, level of knowledge gained, confidence, motivation, and flexibility from bedside teaching session. The data was analysed by using SPSS software program. Results: There is a significant association between the level of knowledge gained, level of confidence, level of motivation and level of flexibility with the type of learning (online or face-to-face) during bedside teaching sessions. Results revealed that students gained a higher level of knowledge (84.9%), higher level of confidence in physical examination (93.3%), higher motivation (82.2%) and higher flexibility (64.1%) during face-to-face bedside teaching sessions compared to online learning. Conclusion: Most of the medical students in four Malaysian medical schools prefer face-to-face learning compared to online learning for bedside teaching sessions.
Pesquisando além-mar
Authors: Rial Carmen , Soares de Almeida Caroline
Published: March 2023

Deslocamentos proporcionam contribuições epistemológicas, como a Antropologia sabe desde seu início, ainda que no passado o sentido experimentado por seus praticantes tenha sido do Norte para o Sul global. "Pesquisando Além-mar: Dilemas metodológicos de campos realizados no exterior" busca mostrar que esses deslocamentos podem ter outros sentidos. O livro é dividido em três partes. A primeira, "Etnografias além-mar", é composta por textos que descrevem metodologias conduzidas por pesquisadoras e pesquisadores do Brasil e/ou vinculados a instituições brasileiras, em contextos do Norte global entre as décadas de 1980 e 2020. "Etnografias aquém-mar", segunda parte desta coletânea, aborda pesquisas em contextos do Sul global, mais precisamente sobre deslocamentos entre países sul-americanos. A última parte, "Etnografias Brasil-Holanda", destaca trabalhos de campo realizados por meio do convênio CAPES/NUFFIC, entre a Universidade Federal de Santa Catarina e a Vrije Universiteit Amsterdam, coordenados por Carmen Rial (UFSC) e Freek Colombijn (VU – Amsterdam), desde 2012.
"Vaca, frio, Romário, PSV e Ronaldo, só sabia disso”
Authors: Jahnecka Luciano
Published: March 2023

O presente capítulo aborda minha inserção etnográfica a partir do futebol realizada durante a pesquisa doutoral com homens praticantes de futebol. Ao longo do texto são problematizadas algumas reflexões realizadas a partir da interlocução com futebolistas profissionais e amadores, assim como com um conjunto de sujeitos com os quais mantive diálogo para pensar a inserção de futebolistas brasileiros homens em contextos locais e transnacionais em particular no contexto dos Países Baixos. A discussão sugerida ao longo do capítulo refere-se à seguinte pergunta: como é possível pesquisar com e a partir do corpo? As reflexões realizadas partem das interlocuções estabelecidas durante a prática do futebol em campos holandeses. Esta prática realizou-se em uma associação esportiva dos Países Baixos durante sete meses, abarcava sessões de treinamento de aproximadamente noventa minutos, entre duas a três vezes por semana e a realização de jogos em um campeonato ‘amador’ um dia por semana. Além disso, também utilizo-me da interlocução estabelecida com futebolistas no Brasil, em Portugal e nos Países Baixos. Dentre as opções tomadas para a interlocução da pesquisa, considerou-se privilegiar a constituição daqueles futebolistas ‘infames’, mas que ainda assim se encontram em regimes privilegiados de visibilidade, acessados de tempos em tempos por flashes, e por relações midiáticas de poder, como são as muitas horas de exposição midiática esportivas, em particular do futebol praticado por homens. Apesar de obedecerem uma certa hierarquia em consonância com seu tempo pautada em discursos e instituições, a constituição destes futebolistas atua ao praticar este ‘outro jogo’ eminentemente vulgar e cotidiano.
The Stock Market Volatility Research between China and ASEAN based on Complex Networks
Authors: Yu Wangke , Liu Shuhua , Pan Ruoqi , Huang Ke , Deng Linyun
Published: March 2023

By constructing the volatility network of stock market indexes in China and ASEAN, the mechanism of transnational market risk transmission and the characteristics of key nodes are analysed. Finding the volatility network is a good description of the linkage and tightness of the various share index volatility. The COVID-19 led to a significant increase in convergence of behaviour patterns of major country share indexes, and significant differences in node changes and topological features of the volatility network. Dynamic analysis shows that the evolution of share index volatility network reflects that the overall risk of volatility network changes with time, the information link structure of the market changes with time, and major emergencies break the original structure and trigger the information connection in the market. The findings of this paper have important implications for understanding the characteristics of transnational risk transmission between the stock markets of China and ASEAN.
Security Attacks and Countermeasures in Smart Homes
Authors: Alam Hasibul , Tomai Emmett
Published: March 2023

The Internet of Things (IoT) application is visible in all aspects of humans’ day-to-day affairs. The demand for IoT is growing at an unprecedented rate, from wearable wristwatches to autopilot cars. The smart home has also seen significant advancements to improve the quality of lifestyle. However, the security and privacy of IoT devices have become primary concerns as data is shared among intelligent devices and over the internet in a smart home network. There are several attacks - node capturing attack, sniffing attack, malware attack, boot phase attack, etc., which are conducted by adversaries to breach the security of smart homes. The security breach has a negative impact on the tenants' privacy and prevents the availability of smart home services. This article presents smart homes' most common security attacks and mitigation techniques.
A Blockchain-Based Consensus Slicing Mechanism for Distributed SDN Control Plane
Authors: Jiang Shanqing , Yang Lin
Published: March 2023

In large-scale distributed Software Defined Networks (SDNs), a logically centralized network view is required in the physically distributed control plane to provide correct application decisions. Distributed SDN controllers communicate through east-west interfaces to achieve consistency of the global network view and coordination of control decisions. The consistency of the global network view requires synchronization of various network states in multiple controllers in SDN. Different network states differ in update rate, data size, application access method, etc. These factors affect the consensus protocol and synchronization strategy used for state synchronization. Therefore, we propose a consensus slicing mechanism that dynamically adjusts the synchronization strategy according to application requirements, minimizing consistency differences among controllers and reducing synchronization overhead. Then, we use a storage approach combining blockchain with distributed databases to store synchronized state information, improving the efficiency and anti-tamper ability of state information. Simulation experiments validate the effectiveness of the proposed approach.
Use of Barnes-Hut Algorithm to Attack COVID-19 Virus
Authors: Boughammoura Radhouane
Published: March 2023

The epidemy COVID-19 (khnown as Corona) is very dangerous. China, the epicenter of the epidemy, is the most infected country tell 07/04/2020 with 81 740 infected, and 3 331 death. To limit the exponential propagation of the virus we have to respect some consigns. Keep safe distance (1m or 3feet) is the most relevant consign in order to surround the spread of the epidemy. Our approach is used to detect possible contamination of persons. Barnes-Hut algorithm is based on quad, a data structure which detects certain proximity relative to persons and groups of persons. Alert is raised when the proximity between parsons is not respected. The algorithm can be used in decision making (e.g close frontiers). Experiments on real world dataset shows the efficiency of the algorithm.
Features Matching using Natural Language Processing
Authors: Khilji Muhammad Danial
Published: March 2023

The feature matching is a basic step in matching different datasets. This article proposes shows a new hybrid model of a pretrained Natural Language Processing (NLP) based model called BERT used in parallel with a statistical model based on Jaccard similarity to measure the similarity between list of features from two different datasets. This reduces the time required to search for correlations or manually match each feature from one dataset to another.
Tuning Dari Speech Classification Employing Deep Neural Networks
Authors: Dawodi Mursal , Baktash Jawid Ahmad
Published: March 2023

Recently, many researchers have focused on building and improving speech recognition systems to facilitate and enhance human-computer interaction. Today, Automatic Speech Recognition (ASR) system has become an important and common tool from games to translation systems, robots, and so on. However, there is still a need for research on speech recognition systems for low-resource languages. This article deals with the recognition of a separate word for Dari language, using Mel-frequency cepstral coefficients (MFCCs) feature extraction method and three different deep neural networks including Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Multilayer Perceptron (MLP), and two hybrid models of CNN and RNN. We evaluate our models on our built-in isolated Dari words corpus that consists of 1000 utterances for 20 short Dari terms. This study obtained the impressive result of 98.365% average accuracy.
Tuning Language Processing Approaches for Pashto Texts Classification
Authors: Baktash Jawid Ahmad , Dawodi Mursal
Published: March 2023

Nowadays, text classification for different purposes becomes a basic task for concerned people. Hence, much research has been done to develop automatic text classification for the majority of national and international languages. However, the need for an automated text classification system for local languages is felt. The main purpose of this study is to establish a novel automatic classification system of Pashto text. In order to follow this up, we established a collection of Pashto documents and constructed the dataset. In addition, this study includes several models containing statistical techniques and neural network neural machine learning including DistilBERT-base-multilingual-cased, Multilayer Perceptron, Support Vector Machine, K Nearest Neighbor, decision tree, Gaussian naïve Bayes, multinomial naïve Bayes, random forest, and logistic regression to discover the most effective approach. Moreover, this investigation evaluates two different feature extraction methods including bag of words, and Term Frequency Inverse Document Frequency. Subsequently, this research obtained an average testing accuracy rate of 94% using the MLP classification algorithm and TFIDF feature extraction method in single label multi-class classification. Similarly, MLP+TFIDF with F1-measure of 0.81 showed the best result. Experiments on the use of pre-trained language representation models (such as DistilBERT) for classifying Pashto texts show that we need a specific tokenizer for a particular language to obtain reasonable results.
Son Adım Teslimat Yöntemi Olan Otonom Teslimat Araçlarının Tüketiciler Tarafından Kabulü: Teknolojiye Hazırlığın Düzenleyici Rolü
Authors: ECEVİT Mehmet Zahid
Published: March 2023

Özet: Dünyada ve Türkiye’de elektronik ticaretin artmasıyla müşterilerin teslimat konusundaki hız ve esneklik beklentisini artırmıştır ve son adım teslimatı daha da önemli hale getirmiştir. Nihai tüketiciye dokunması nedeniyle memnuniyet üzerinde doğrudan etkiye sahip olan bu aşama, lojistik açısından en problemli ve maliyetli bir evredir. Bu problemlerden bazıları gürültü kirliliği, CO2 salınımı ve trafik yoğunluğu olup bunlarla da sınırlı değildir. Son adım teslimat uygulamalarında yeniliklere ihtiyaç duyulmaktadır. Özellikle kaldırımlarda ve sokaklarda giden elektrikli ve sürücüsüz kara araçları olarak tanımlanan otonom teslimat araçlarının (ADV) değişim ihtiyacını karşılayabileceğine ve son adım teslimat pazarında devrim yaratma potansiyeline sahip olduğuna inanılmakta, bu nedenle daha sürdürülebilir, verimli ve müşteri odaklı bir ulaşım alternatifi olarak karşımıza çıkmaktadır. Otonom araçların kabulü birçok araştırmaya konu olmasına rağmen, çok az araştırma Otonom Teslimat Araçlarının kabulünü konu edinmiştir. Bu nedenle ADV'lerin kullanıcı kabulünü belirleyen yapılara ilişkin daha kapsamlı bir genel bakış elde etmek önem arz etmektedir. Bu çalışmada uyarlanmış bir UTAUT2 modeli ve TRI modeli kullanılarak üniversite öğrencilerinin ADV kabulü ile ilgili algı ve niyetleri araştırılmıştır. Hipotezlerin test edilmesinde Smart PLS4 yazılımı kullanılmış ve çoklu grup analizi ile TRI yüksek ve düşük gruplar kıyaslanmıştır. Araştırma sonucunda göre iki grup arasında özellikle fiyat hassasiyetinin ADV kabulü üzerindeki etkisinde anlamlı farklılık tespit edilmiştir.
An Evaluation Framework for The Adoption of Big Data Technologies in Higher Educational Institutions
Authors: Ziezo Mercy , Osakwe Jude Odiakaosa , Ujakpa Martin , Iyawa Gloria
Published: March 2023

The aim of this study is to develop a framework for the use of Big Data Technology in Higher Educational Institutions (HEIs). The research which employed a mixed method approach, is primarily based on relevant critical analysis and literature review of studies conducted within the Big Data Technology area in higher education institutions. It investigated the processes of monitoring student performance by Namibian HEIs. The challenges faced by Namibian HEIs on the use of BDT. The various methods of data collection by Namibian HEIs and determined the level of readiness to adopt BDT.in Namibian HEIs. The study further undertook quantitative surveys and qualitative interviews with staff of the three (3) higher institutions in Namibia. A sample of 345 participants from International University of Management (IUM), Namibia University of Science and Technology (NUST), and The University of Namibia comprising the study's population (UNAM) were selected for this study using the simple random sampling technique.  The Unified Theory of Acceptance and Use of Technology (UTAUT) constructs model was used to analyse to collect and analyse the quantitative data collected in this study. Finally, the study developed a sustainable framework that will guide the use of Big Data Technology in Namibian Higher Educational Institutions (HEIs). The validity of the framework was ascertained by expert reviews to ensure that the framework developed is effective and appropriate in fulfilling the purpose of the study and its objectives.
Modelling and Intelligent Control Based Damping System for Smart No-Till Seed Planter's Assembly
Authors: Haq Faheem Ul , Khan Muhammad Tahir , Shah Kamran
Published: March 2023

Providing a precise Mathematical Model for a perfect damper and damping control is a leading issue in all mechanical Systems. This research is about the modelling of a damper and using it to control the damping system of an intelligent no-till seed planter. In a no-till seeding planter, there is a significant influence of variations in soil conditions regarding inconsistency in seeding depth. Inappropriate and unwanted dynamic responses of the seed planter's assembly are the main cause of such an inconsistent situation. In this research paper, the fluctuation and the dynamics of a seed planter's assembly, featured with a mono-tube hydraulic damping system, will be modelled and controlled regarding the ground impact and vertical movement. Modelling will cover the system's linearities and non-linearities. After a model is proposed, then the damping system's control of the seed planter in an intelligent manner will be required. Adaptive Proportional Integral Derivative (PID) is a very powerful control technique that will result in precise and accurate control.
Vehicular Flow Characterization: An Internet of Video Things-Based Solution
Authors: Zakhil Abdullah , Khan Asif , Khattak Khurram Shehzad , Khan Zawar Hussain , Qazi Azhar
Published: March 2023

Intelligent transportation systems (ITS) have emerged as the optimal solution to address urban mobility challenges. However, to effectively implement ITS, detailed traffic flow statistics are imperative. Various solutions have been proposed, including intrusive/non-intrusive sensors and compute vision-based solutions. However, these solutions have limitations in the number of measured traffic flow parameters, cost or performance under different traffic conditions. To overcome these limitations, we propose an Internet-of-Video-Things (IoVT) based solution. The sensor node (fabricated using Raspberry Pi Zero W, Pi camera, power bank, and Wi-Fi device) can live-streaming roadside traffic video to a remote Dell server located at our lab with Camlytics (commercially available traffic analysis software) installed. The proposed solution was field tested with a 45-minute live-streamed video of 720p at 25 frames per second. Results show that the proposed solution can measure more traffic flow parameters than intrusive and non-intrusive sensors, with an accuracy of 84.3% for vehicle count and speed estimation. Other parameters were also calculated, such as time/distance headway, spatial/temporal densities, heat maps, and trajectories. Additionally, the proposed solution can count pedestrians with an accuracy of 76.3%.
Optimization of Microgrid Energy Cost with Electrical Vehicles and Demand Response
Authors: Beenish Summaira , Ahmad Aftab
Published: March 2023

Challenges with current power systems include increasing energy costs and Greenhouse gasses. Participation in distributed generators (DGs) and demand response (DR) strategies inside the distribution network may solve these issues. This paper's primary objective is to suggest an energy management system (EMS) strategy for campus microgrid reduce all the issues mentioned above. To practice this strategy a microgrid is considered. Conventionally the microgrid uses a utility grid to fulfill load demands. But in the proposed model the integration of a micro turbine, photovoltaic (PV) system, battery energy storage system (BESS), and Electric vehicles is proposed.  Mix integer linear programming MILP technique is used in MATLAB to solve the non-linear optimization problem. The energy management system EMS and demand response policies are used to optimally schedule the available resources and reduce energy costs. The integration of EVs is also observed as source and load. The simulation results are discussed and different case studies are analyzed. Simulation results show that 46% cost saving is observed while using EVs in the system as source. The real-time energy interruption problem is also observed in this paper.
Hybrid Learning based Radio Resource Management in 5G Heterogeneous Networks
Authors: Iqbal Muhammad Usman , Ansari Ejaz Ahmad , Akhtar Saleem , Rafiq Muhammad Nadeem , Farooq-i-Azam Muhammad , Hassan Beenish
Published: March 2023

Ultradensification using different types of small cells (SCs) is one of the key enabling solutions to meet the multiple stringent requirements of 5G cellular networks. However, radio resource management (RRM) in ultra-dense heterogeneous networks (HetNets) is not easy due to interferences in multi-tiered architecture and dynamic network conditions.  Interferences in 5G HetNets can be efficiently managed only through the techniques which are adaptive and self-organizing to handle dynamic conditions in 5G HetNets. In this article, a machine learning (ML) based self-adaptive resource allocation scheme is proposed based on the combination of independent and cooperative learning and evaluated for ultra-dense 5G HetNets. The proposed scheme aims to improve the QoS of all users associated with different network tiers in ultra-dense HetNets simultaneously. The proposed solution adaptively optimizes the SCs transmit power either through independent learning or cooperative learning based on the varying density of small cells to minimize the interferences and ensure minimum QoS requirements for all users in different network tiers. The proposed scheme not only maintains the minimum required capacities for QoS provision to all users simultaneously but has also shown a significant improvement in the capacities of users in different network tiers in high interference scenarios as compared to the use of a single learning scheme.