bluuebunny/crossref_metadata_2025 huggingface dataset:
Peran Ayah dalam Proses Pengembangan Anak (Kajian Tafsir Tematik)
Authors: Muh. Mu'ads Hasri
Published: April 2021

Artikel ini membahas tentang pandangan Al-qur’an terhadap peran ayah dalam proses perkembangan anak. Adapun yang menjadi fokus  kajian dalam penelitian ini adalah mengupas ayat-ayat Al-qur’an yang berkaitandengan peran ayah dalam keluarga. Selain itu, artikel ini juga akan menggambarkan kisah ayah dalam Al-qur’an. Artikel ini merupakan jenis penelitian pustaka. Metode yang digunakan dalam penelitian ini adalah deskriptif-analisis dengan menggunakan pendekatan paradigma tafsir klasik-kontemporer. Dari analisis yang telah dilakukan, penelitian ini menyimpulkan bahwa: pertama, Al-qur’an menunjukkan peran yang seharusya diaplikasikan oleh seorang ayah dalam proses perkembangan anak-anaknya, salah satunya dengan memantau dan mengontrol keseharian anak, menanamkan nilai-nilai pendidikan, membangun kedekatan dan komunikasi yang baik bersama anak, dan memberi dukungan serta arahan yang baik. Kedua, beberapa ayat dalam al-Qur’an menggambarkan peranayah yang memiliki cara tersendiri dalam mendidik anaknya, sehingga cara tersebut relevan untuk diaplikasikan dalam konteks kekinian. Sosok ayah yang dimaksud adalah Luqman, Nabi Ibrahim, Nabi Nuh, dan Nabi Ya’qub.
Testing of Alginate/Chitosan/Glass Bubbles Adsorbent for Copper Removal from Wastewater
Authors: Matei Ecaterina , Predescu Andra Mihaela , Rapa Maria , Turcanu Andreea , Predescu Cristian , Vidu Ruxandra , Favier Lidia , Covaliu Cristina Ileana , Ignat Daniela , Grigore Vlad
Published: April 2021

The present paper reported the obtaining of an environmental friendly adsorbent based on sodium alginate, chitosan and glass bubbles. CaCl2 was used as crosslinking agent for sodium alginate favoring the interactions by physical bonds between the negative groups (-COO) of biopolymer and the Ca ions. The experimental study to determine the Cu(II) uptake using an atomic absorption spectrometer was conducted in the testing stand at the 1:50 and 1:100 ratios between the adsorbent mass and the amount of pollutant in solution. The number of cycles of regeneration of the adsorbent material was also evaluated. The characterization of alginate/chitosan/glass bubbles adsorbent by scanning electron microscopy (SEM) coupled with energy dispersive spectrometer (EDS) and Fourier transform infrared spectroscopy (FTIR) showed that the Cu(II) was found out on the surface of adsorbent.
Visco-elastoplastic Characterization of a Flax-fiber Reinforced Biocomposite
Authors: Stochioiu Constantin , Gheorghiu Horia-Miron , Artimon Flavia-Petruta-georgiana
Published: April 2021

In the presented study, the load induced long-term behavior of a biocomposite material is analyzed. The studied material is a unidirectional flax fiber reinforced epoxy resin, material, whose quasi-static mechanical properties can compare with those of glass fiber composites. Samples with a fiber direction of 0� were subjected to two types of multi-level creep-recovery tests, one with a varying creep duration, and the other with a varying creep stress, with the purpose of discriminating the viscoplastic and viscoelastic behavior of the composite. Results show a significant viscous response in time, dependent on both creep duration and creep stress, up to 20% of the elastic one. Sample damage is absent, leading to the conclusion that the viscoplastic response is caused by the permanent reorganization of the fiber�s internal structure.
Properties and Medical Applications of Biocompatible Polyamide in Additive Manufacturing
Authors: Stoia Dan Ioan , Vigaru Cosmina , Opris Carmen , Vasilescu Marius
Published: April 2021

The paper presents the structural and dimensional differences of rectangular shape samples manufactured by selective laser sintering (SLS) according to three process sinterization energies. In this study we determine the geometrical and structural characteristics of biocompatible PA2200 polyamide manufactured at a low energy density E1, and intermediate value E2 and a high energy density E3. Relaying on these results, four custom-made medical parts have been built using biocompatible polyamide PA2200 powder, in order to evaluate their performances.
Influence of Shelf Life on Mechanical Properties of Glass Fibre Reinforced Composites
Authors: Condruz Mihaela Raluca , Vintila Ionut Sebastian , Frigioescu Tiberius Florian , Paraschiv Alexandru , Mandoc Andrei , Cucuruz Andreia , Mindru Ionel
Published: April 2021

The present paper was focused on studying the influence of shelf life of an epoxy matrix on the mechanical properties of glass fibre reinforced composites. For the study, two types of the same epoxy system were used, one during its shelf life and one out of its shelf life. The reinforcement used consisted in E-glass fibre fabric. Mechanical investigations were realized in order to compare the materials in terms of loss of mechanical strength and elastic properties. Therefore, three mechanical tests were performed: tensile tests, in-plane shear and open-hole tensile tests. The results showed that the shelf life affects the mechanical properties of the polymeric composite. A decrease of 24% in tensile strength was recorded along with a 28% decrease of the in-plane shear strength and 55% of open-hole tensile strength for the composite manufactured with the out of shelf life epoxy system compared with the other composite. An overall reduction of mechanical strength and elastic properties of the composite material was observed, primarily due to polymeric matrix degradation, which after long periods it could be prone to brittleness and susceptible to delamination and fracture. The thermogravimetric analysis showed that thermal induced changes are happening at a higher speed in the out of shelf life composite, a lower mass loss being registered for new epoxy composite.
Mechanical Properties of Bis-GMA/HEMA Resin Composite with Addition of Silicon Dioxide Nanoparticles
Authors: Topor Gabi , Earar Kamel , Ciuca Ion , Berbece Sorin , Stefanescu Victorita , Beznea Adrian , Grigore Camelia Ana , Maris Marius , Fotea Silvia , Onisor Cristian , Feier Ramona , Iordache cristina Marina , Gurau Gabriela
Published: April 2021

The study of the mechanical behavior of materials intended for dental restorations is of crucial importance in the production of a finished product. In the present work, two resins were used for the material matrix, Bisphenol A diglycidyl methacrylate (Bis-GMA), hydroxyethylmethacrylate (HEMA) and a nanofiller (SiO2). This study focuses on the influence of nanoparticle size (30, 50, 100 and 150 nm) on the mechanical properties (flexural strenght and modulus, compression strenght and modulus and work of fracture) of the manufactured composite materials. The results showed improvements in the mechanical integrity of the samples, but differed depending on the size of the nanoparticles added. These differences are closely related to the active surface of the nanoparticles, leading to differences in filler-resin matrix compatibility.
Scientific And Theoretical Foundations Of The Concepts Of Tourism, Geography And Geographical Tourism
Authors:   Doctor Of Geographical Science, Professor Of The Department Of Ecology And Geography, Gulistan State University, Tashkent, Uzbekistan, Nigmatov Askar , Tobirov Odiljon ,   Doctoral Student Of The Department Of Ecology And Geography, Gulistan State University, Tashkent, Uzbekistan
Published: April 2021

In the article, the idea of forming a new direction in the tourism industry – geographic tourism is put forward on the basis of international experience, national practice and long-term research. It substantiates in detail the scientific and theoretical foundations of the concepts of tourism, tourist, geography and geographical tourism.
Why phonetically-motivated constraints do not lead to phonetic determinism: The relevance of aspiration in cueing NC sequences in Tumbuka
Authors: Downing Laura J. , Hamann Silke
Published: April 2021

This paper examines the role of phonetic cues to postnasal laryngeal contrasts, language-specific differences in the use of these cues, and the phonetic naturalness of the different cues. While many studies have shown that long stop closure duration is a well-established cue to voicelessness in the postnasal context (see, e.g., Cohn & Riehl 2012, who claim this to be a universal property), the present study focusses on the role of aspiration noise in maintaining a voicing contrast in the postnasal environment. It provides experimental data from the Bantu language Tumbuka to illustrate that aspiration noise can preserve a postnasal laryngeal contrast even when stop closure duration is short. Though typologically less common, we show that the use of aspiration as a cue is also phonetically motivated. Furthermore, we show that such phonetic motivation should not be directly incorporated into phonology (e.g., as markedness constraints in OT). Instead, we employ the BiPhon model (Boersma 2007), which allows for a strict distinction between the modules of phonetics and phonology, and which formalizes the mapping of phonetic cues onto phonological representations via cue constraints, avoiding the problem of phonetic determinism.
An audit of death due to poisoning: a retrospective study
Authors: Rahim Arzoo , Asma Azim  , Moeez Munawar
Published: April 2021

Background: Poisoning is being more frequently encountered nowadays, both globally and locally. Knowing what poisons are involved more commonly and what kind of victims present with this condition, helps the clinicians to manage and treat the patients in a better manner and lessens the mortality rates.
Objectives: To determine the age group and gender most vulnerable to fatal poisoning. To identify the agent used for poisoning.
Material & Methods: The descriptive retrospective study was carried out King Edward Medical University, Lahore and reviewed the autopsy records of victims of fatal poisoning from January 2018 to December 2019. The data was analyzed using the SPSS software.
 Results: In the total 67 cases of poisoning that were studied, majority of the victims were males (85.07%).Most of the cases fell in the 21-30 years age group (53.73%), followed by the 31-40 years age group (23.88%).The overall mean age of the victims was calculated to be 32.597 years. Morphine was found to be the toxic agent in most cases (32 cases; 47.76%), followed by Dextromethorphan (26 cases; 38.80%) and codeine (19 cases; 28.35%).
 Conclusions: Poisoning is a serious issue that is more frequently encountered in our young adult and male population. Since narcotics were found in major share of the cases, measures should be taken for more strict control.
 Keywords: poisoning, autopsy, mortality, drug toxicity
Technology of thermally stimulated diagnostics of anisotropy and optical axes in crystals
Authors: Timokhin Viktor M. , Garmash Vladimir M. , Tedzhetov Valentin A.
Published: April 2021

For implementing the technology of thermally stimulated diagnostics of anisotropy and optical axes in crystals, the sample is thermostated at a temperature not exceeding the melting point, an electric field not exceeding the breakdown field is applied to the sample and polarization is produced for a time greater than the relaxation time at this temperature. After that, without switching off the electric field, the sample is cooled to the liquid nitrogen temperature, following which the field is switched off, the sample is linearly heated to a temperature above the polarization temperature and the resultant thermally stimulated depolarization (TSD) spectra taken along and perpendicular to the optical axis of the crystal are examined. When comparing the spectra the presence of anisotropy is detected and the direction of the optical axes is determined from the magnitude and presence of the TSD maxima.
Multiple-marker phylogeny and morphological evidence reveal two new species in Steccherinaceae (Polyporales, Basidiomycota) from Asia
Authors: Cao Ting , Yu Jia-Rui , Nguyễn Trang Thị Thu , Yuan Hai-Sheng
Published: April 2021

Two new wood-inhabiting fungi, Mycorrhaphium subadustumsp. nov. and Trullella conifericolasp. nov., are proposed and described from Asia based on ITS, nrLSU and tef1 molecular phylogeny and morphological characteristics. Mycorrhaphium subadustum is characterized by a stipitate basidiocarp, velutinate pileal surface concentrically zoned, hydnoid hymenophore, a dimitic hyphal system in spine trama and monomitic in context, absence of gloeocystidia, presence of cystidioles and the non-amyloid, cylindrical to ellipsoid basidiospores. Trullella conifericola is characterized by a laterally stipitate basidiocarp with flabelliform to semicircular pileus, hirtellous pileal surface with appressed coarse hair and concentrically zoned and sulcate, tiny pores (10–12 per mm), a dimitic hyphal system, absence of any type of cystidia, short clavate basidia and thin-walled, smooth, cylindrical to allantoid basidiospores. Phylogenetic analyses based on a three-marker dataset were performed using maximum likelihood and Bayesian inference methods. The two new species formed isolated lineages with full support in Steccherinaceae. The distinguishing characters of the two new species as well as allied species are discussed, and a key to species of Mycorrhaphium is provided.
Geoinformation Technologies in Land Use Monitoring of Fast-Growing Cities for Sustainable Urban Development
Authors: Henriques Cristina Delgado
Published: April 2021

To understand the territory of fast-growing cities, where there are multiple stakeholders involved, the observation of such dynamics seems indispensable to formulate and implement policies and actions based on a better understanding of these territorial systems. This chapter offers a perspective on how urban territories should be observed through geoinformation technologies that can provide a means for creating monitoring indicators concerning land use of fast-growing cities. The city of Maputo was used as an experimental laboratory for the use of geoinformation technologies in the observation, discussion, and reflection on methods for sustainable urbanism. The discussion includes the implications of the case study and possible developments to take a step forward in land use planning processes to achieve the desired socio-spatial equality.
Spotting Premium Hot Spots for Urban Tourism Based on Facebook and Foursquare Data Using VGI and GIS
Authors: dos Santos José Gomes , Azevedo Liliana Raquel Simões , Leitão Luís Carlos Roseiro
Published: April 2021

Spatial modeling always involves choices. The existence of constraints, the uncertainty and even the reliability of the data, the purposes and the applications of the studies make these reflections a kind of guiding compass for GIS analysts. Building on a previous exercise of data acquisition (check-ins) based on two digital social networks (DSN – Facebook and Foursquare) and on the awareness of the use of volunteered geographic information (VGI) generated by tourists through DSN, this work aims to evaluate the contribution of spatial analysis applied to urban tourism in the “Alta and University of Coimbra” area. Concepts and procedural tasks related to density determination, cluster analysis, and identification of patterns have thus been implemented with the purpose of evaluating and comparing the results obtained through the application of two techniques of spatial analysis, kernel density estimation (KDE) and optimized hot spot analysis (OHSA) and inverse distance weighting (IDW) interpolation.
An Overview of the Potential of UAV Applications to the Built Environment
Authors: Green David R. , Gregory Billy J. , Hagon Jason J. , Karachok Alex R. , Larsen Jakob , Skitmore Alastair
Published: April 2021

This chapter presents an overview of the potential role of UAVs for monitoring, mapping, surveying, modelling, and visualising the ‘built environment' and their role in sustainable urbanisation. The ‘built environment' includes rural, urban, and underwater environments. Together with low-cost image processing and softcopy photogrammetry, fixed-wing and multi-rotor UAVs can collect a wide range of imagery for generating 3D models of individual buildings, and record and analyse architecture and infrastructure and terrain models. Consideration is given to non-imaging sensors carried on UAVs. Input to GIS provides a basis to create visually realistic models of the ‘built-environment' for urban and rural planning and decision-making for sustainable urbanisation. 3D visualisation software, virtual, and augmented reality will allow public engagement with the spatial planning process. Safety and operational considerations are needed for UAV flights. The chapter concludes by examining how this technology will develop in the future to play a role in sustainable urbanisation.
Teaching Through a Pandemic
Authors: Kirby Katrina
Published: April 2021

During the times of COVID-19, teachers quickly had to address the barrier of virtual learning and adapt to a new world of online teaching. This chapter will look into effective practices for online teaching and learning. Additionally, it investigates parent communication in the classroom and how that has changed and developed during this season of COVID-19. This chapter will explore how the learning environment rapidly changed, developed, and improved. It also looks at useful resources that allow for online learning to continue to evolve and grow. In addition, this shift into an online world and how it can be transferred over when learning returns full time to classrooms to grant continued, uninterrupted learning are explored. Looking at how students from low socio-economic backgrounds were affected with the immediate shut down of schools and services, we must examine how to better set our students up for success for the future. Reflecting how schools can better prepare families will create an environment that is proactive, not reactive.
Unexpected Opportunities
Authors: Abernathy Dixie Friend , Ceglie Robert J. , Black Ginger C. , Thornburg Amy W.
Published: April 2021

In the spring of 2020, during the COVID-19 pandemic, the nation's schools closed. Students and families were asked to shelter-in-place and the nation's schools were charged with the challenge of educating students through online modalities. Novice and veteran teachers alike needed to quickly assimilate to virtual teaching and online learning modalities. Students were asked to adjust from face-to-face lessons to screenshots of material from within the confines of their homes. Parents were asked to assume the roles of teacher assistant, tutor, and learning support, all while juggling other personal or work challenges. Leading and coordinating all of these efforts in towns and cities across our nation were school leaders, many of whom may have felt lacking in their own skill set related to online teaching. This research study will explore the perceptions of these leaders. Almost 50 North Carolina leaders shared their perspectives on their own experiences. Conclusions from this research will be pertinent in recommending steps and considerations for future events of this magnitude.
Pandemic Panic!
Authors: George Jacquelyn Leissa , Leissa Emily Lauren
Published: April 2021

In this chapter, the authors will discuss their daily classroom rituals and routines in a typical face-to-face setting (in both the primary and elementary classrooms). Additionally, the authors will be comparing and contrasting how they maintained and/or changed their rituals and routines as a result of online learning. Furthermore, the authors discuss their experiences and insights learned from being suddenly thrust into a COVID-19 teaching role, how this model affected their students' growth, communication platforms with all audiences, content and lessons, resources that were utilized during that stressful time, and modes of assessment.
Cognitive Technologies
Authors: Luo Fei
Published: April 2021

Cognitive science is the most important emerging discipline at the turn of the century. Since its birth, cognitive science has integrated many important branches of science, including but not limited to neuroscience, psychology, computer science, systems science, information science, and management. With the development of these related fields, cognitive science has achieved recognition and respect. However, up to date, the understanding of cognition itself remains limited. The science of meditation and mindfulness is adding new light to this field. It has been revealed that through the integration of subjective cognitive training, it may be possible to gain further understanding of cognition per se, therefore promoting new developments in cognitive technology.
Toward Benevolent AGI by Integrating Knowledge Graphs for Classical Economics, Education, and Health
Authors: MacRae Don
Published: April 2021

This chapter considers the contributions that may be made to the evolution of an ethical and compassionate form of artificial general intelligence (AGI) by integrating knowledge graphs for classical economics, education, health, and space science. Classical economics offers pathways to the evolution of a form of AGI characterised as moral, ethical, and providing a capacity for building trust-based social capital of societies. Pathways that can be elucidated by applications of machine and deep learning to knowledge graphs of the fields of classical economics, ethics, and social capital. A network platform based on the application of distributed ledger technology is proposed to provide the basis for eliciting insights from interdependences between an ever expanding digital-quantum cloud hosting similarly empowered knowledge graphs for an ever increasing myriad of advancing fields. Knowledge graph sketches for education, health, space science, and other fields germane to building social capital serve to illustrate this proposed process and attendant business opportunities.
Crisis in US Accounting Education
Authors: Shea Vincent J. , Dorata Nina T. , Dow Kevin E.
Published: April 2021

In 2001, Professors W. Steve Albrecht and Robert J. Sack wrote in their 2001 CPA Journal article that the accounting practice community perceived accounting education to be completely outdated. Fewer students majored in accounting, many accounting firms perceived accounting students higher educational training as outdated and hired fewer accounting majors. In 2021, these issues are still prevalent. This chapter discusses what has changed over the last 20 years and what issues are faced with current accounting graduates. A more agile accounting profession, a new CPA exam approach in 2024, and the use of more advanced analytical and technological tools in the profession only make the challenge to higher education even harder. The discussion then concludes with mitigating strategies to not only improve requisite skills that the profession demands, but also discusses strategies to curtail declining enrollment trends.
Toward Eradicating All Diseases
Authors: Ma Qing-Ping
Published: April 2021

Progress in biomedical sciences and engineering will take mankind closer to a world without disease. The objective of this chapter is to review and forecast research and technologies that contribute to eliminating all diseases. In addition to improved traditional therapeutics such as medicinal chemicals, antibiotics, vaccines, and antibodies, DNA and RNA therapeutics will play key roles in addressing genetic, infectious, and chronic diseases by decreasing disease facilitating proteins or increasing disease suppressing proteins. Nanorobots will find and treat thrombosis and vascular stenosis caused by lipid deposits in the intima of arteries, as well as remove diseased tissues and repair injured tissues. Nanorobots will be much less invasive than keyhole surgical operations, and patients need almost no time to recover from their nanorobotic procedures. Thorough understanding of regeneration and repair mechanisms of injured tissues may make it feasible to regenerate injured or aged tissues and organs and to transplant organs grown in vitro.
Never Say Die
Authors: Fletcher Amy Lynn
Published: April 2021

This chapter evaluates the longevity industry and the claims being made about the viability of radical life extension. It distinguishes between the established science of human aging and the emerging promissory economy being built upon visions of extending life well beyond the theoretical optimal human lifespan of approximately 115 years. With reference to examples such as cryo-preservation and cellular interventions, this wide-ranging exploration of the contemporary Western obsession with prolonging vibrant life focuses on the techno-political dimensions of “disrupting death” and the complex relationship between hope and hype that sustains the immortality imaginary.
FinTech
Authors: Bhandari Vibha
Published: April 2021

Businesses have been forerunners in providing innovative techniques and technology to the market. These emerging processes, techniques, and technologies have disrupted the existing ones and met the requirements of the existing customers. Today's banking and financial sector is facing an unprecedented change wherein various new players are entering the market and disrupting the traditional modes of operation. These players are a part of the latest disruption in the banking and financial sector, which is popularly known as Fin Tech (which is an amalgamation of finance and technology). They are providing alternative solutions and business models that are overhauling the manner in which this sector and its customers function. This disruption not only opens doors for completely different business opportunities but also poses challenges to the existing set up of business. The chapter aims to study the emerging trends associated emerging opportunities and challenges of FinTech in the banking and financial sector globally.
New Financial Technologies, Cryptocurrencies, Blockchain, and Challenges
Authors: Sakiz Burcu
Published: April 2021

As technological innovation transforms our economies, companies and start-ups all over the world are performing developments on financial technologies called “FinTech/fintech” for a chance to thrive. It even sparked the invention of blockchain and the inception of cryptocurrencies (digital/virtual money) such as Bitcoin. The blockchain technology provides Bitcoin's public ledger, an ordered and timestamped record of transactions. Blockchain is one of a kind decentralized technology mainly used by fintechs and it is a distributed as well as decentralized ledger that presents a radical, new, modern, and disruptive way of conducting all manner of transactions over the internet. Blockchain-based applications provide many opportunities to create a more sustainable world. With this research agenda, this chapter contributes to the discussion on future avenues for sustainability and information systems research on fintechs, especially cryptocurrencies and blockchain-based platforms and services.
The Impact of FinTech on Economic Performance and Financial Stability in MENA Zone
Authors: Kammoun Souhaila , Loukil Sahar , Loukil Youssra Ben Romdhane
Published: April 2021

This chapter deliberates on the effects of FinTech on economic performance in the context of political instability in MENA zone countries. Using a multiple regression model to estimate time series data based on a sample of 10 MENA zone countries for 2011, 2014, and 2017, the study contends that FinTech's lending activities increase inflation and that this effect could be interestingly moderated by sound policies and regulations. In addition, the authors find empirical support for the FinTech's role as a driver of economic growth and a breeding ground for innovative projects in a context of freedom of expression, association, and media. In terms of practical implications, decision makers are asked to formulate and implement sound policies and regulations that permit and promote the positive role of FinTech in terms of economic performance.
Adoption of Financial Technology in Islamic Crowd-Funding
Authors: Md Husin Maizaitulaidawati , Haron Razali , Aziz Shahab
Published: April 2021

The purpose of this chapter is to examine the factors that influence small and medium-sized enterprises' (SMEs) intentions to use the investment account platform (IAP) based on technology acceptance model (TAM). The central hypothesis for this chapter was that SMEs' intentions to use IAP were a result of perceived usefulness and perceived ease of use. This chapter also suggested that perceived ease of use and intention was mediated by perceived usefulness of the IAP. Using primary data collection method, 163 questionnaires were collected from SMEs in Kuala Lumpur, Malaysia using the purposive sampling technique. The data were analysed using SPSS and SmartPLS. The chapter found that perceived ease of use had significant influences on SMEs intention to use the IAP while perceived ease of use significantly affected perceived usefulness and the relationship between perceived ease of use and intention was mediated by perceived usefulness of the IAP. The results of this chapter suggested strategies to promote the platform as a fund seeking platform for SMEs.
Financial Technology Implications
Authors: Arjun R.  , Nishmitha N.  , Suprabha K. R.
Published: April 2021

The chapter examines the particularities of the financial technology industry and explores how FinTech is defined and how the financial technology solutions can be implemented by companies and categorized. Financial technology companies are generally start-ups founded with the purpose of disrupting financial systems and corporations that rely less on software. But Fintech is not confined to start-ups only. Fintech comprises a vessel of technical aspects that describes an emerging financial services sector in the 21st century. The chapter aims to provide key insights into the evolution of the FinTech sector in emerging markets like ASEAN and India by and industry experience in this area. Both industry survey reports and peer-reviewed research is used as secondary data. The critical challenges to be addressed at the policy level, regional differences and future implications are being discussed thereby creating bridges the FinTech in ASEAN context to create a coherent framework.
Fintech Ecosystem and Banking
Authors: Söylemez Yakup
Published: April 2021

In this study, Fintech platforms are compared to the traditional banking system. This comparison is based on the banking activities offered by Fintech platforms and the results of these activities. In the study, firstly, a general evaluation is made in the comparison of the Fintech platforms to the banking system and then the situation in Turkey is analyzed. It is clear that Fintech platforms have developed financial markets. Moreover, banks have the potential to adapt to the digital innovation advantage of Fintech platforms. In this study, the banking system and Fintech platforms are considered as competing institutions as well as supporting and transforming each other. Services within the scope of banking activities change as a result of digital innovations. As a result, it is clear that the financing system enters into a revolutionary process. This study contributes to the literature in terms of the analysis of the relationship between banking and Fintech, which is based on Turkish Fintech Ecosystem.
Analysis of a Mobile Payment Scenario
Authors: Ramos de Luna Iviane , Montoro-Ríos Francisco , Martínez-Fiestas Myriam , Casado-Aranda Luis-Alberto
Published: April 2021

The objective of this chapter is to evaluate the scenario in which mobile payments are currently inserted to offer those interested in developing research in this area a broader understanding of the mobile payment ecosystem and its evolution. A study by Dahlberg, Guo, and Ondrus revealed that researchers are focusing on the same topics (especially consumer adoption and technological aspects) with a limited accumulation of foreground. Therefore, it is believed that the limited scientific literature regarding the history of mobile payment and its development in recent years surely makes it difficult to generate research on other perspectives. In this way, this chapter presents the general scenario of financial technologies, explaining how these changes completely changed the global economic scenario and gave rise to innovations in financial solutions for companies and consumers. The authors conclude the article by giving some recommendations for the diffusion of this payment system and for future investigations of mobile payment systems.
Financial Literacy for Financial Inclusion Using Mobile Technology in India
Authors: Pathak Smriti Ashish , Virani Shreya
Published: April 2021

According to the RBI governor, technology-enabled financial information will spread financial literacy in an efficient and secure manner. India needs inclusive growth to pull millions out of poverty and mobile phone penetration can be a good opportunity. Consumers are exposed to a plethora of financial products but the knowledge is either not there or limited to make judicious choices. The successful implementation of financial literacy services would benefit rural people but it is a challenge to all stakeholders today. One-hundred twenty-five people all over India were selected for a survey and results point that rural poor accept mobile technology for banking related information but do not want to adopt the technology. There are various challenges for financial literacy in India discussed in the chapter. Also, opportunities are many for digital literacy and can be achieved if the challenges are overcome. All the stakeholders should put in concerted efforts at all levels to achieve financial inclusion through mobile technology disruption.
Some New Alternative Formulations of Adaptive Kalman Filter for Market Risk Beta Estimation
Authors: Das Atanu
Published: April 2021

Kalman filter (KF) provides optimal beta estimate with linear models where the noise covariances are known a priori. Noise covariance adaptation-based adaptive KFs (AKFs) have also been used to get these beta estimates. These AKFs suffer from one typical problem, namely inadequate noise filtering. This paper explores some new formulation of such AKFs to solve this problem in addition to applying other related existing formulations. The proposed methods have been analysed through simulation study along with empirical performance verifications through VaR backtesting, expected shortfall analysis, and in-sample performance analysis. Results show that two new and one existing AKFs are successful to provide smooth beta estimates.
The Role of Analytics and Robo-Advisory in Investors' Financial Decisions and Risk Management
Authors: Pal Abhinav , Sharma Shalini Singh , Gupta Kriti Priya
Published: April 2021

The global financial world has been experiencing increasing complexities in the design and construct of financial instruments, wherein the average retail investors need to be well informed and aware of the risks about the evolution of financial products and financial system. The global financial crisis of 2008-2009 is evident to the fact that traditional methods of financial advisory involving the use of human intermediaries and financial advisors is not an infallible method to determine one's financial decision or risk management. Almost a decade since the crisis, the advancement of financial technology in the form of robo-advisors and the use of data and visual analytics have completely transformed the way the retail investors make their financial decisions and also in the sphere of risk management of these investors. The study qualitatively analyses the use of the use of analytics and robo-advisory in determining retail investors' financial decisions and risk management by doing a systematic and an exhaustive literature review on the latest and the past studies on the topic.
An Integrated Parallel Multistage Spectrum Sensing for Cognitive Radio
Authors: Mashta Faten , Wainakh Mohieddin , Altabban Wissam
Published: April 2021

Spectrum sensing for cognitive radio requires speed and good detection performance at very low SNR ratios. There is no single-stage spectrum sensing technique that is perfect enough to be implemented in practical cognitive radio. In this paper, the authors propose a new parallel fully blind multistage detector. They assume the appropriate stage based on the estimated SNR values that are achieved from the SNR estimator. Energy detection is used in first stage for its simplicity and sensing accuracy at high SNR. For low SNRs, they adopt the maximum eigenvalues detector with different smoothing factor in higher stages. The sensing accuracy for the maximum eigenvalue detector technique improves with higher value of the smoothing factor. However, the computational complexity will increase significantly. They analyze the performance of two cases of the proposed detector: two-stage and three-stage schemes. The simulation results show that the proposed detector improves spectrum sensing in terms of accuracy and speed.
Multi-Layer Data Model of a Complex Transportation Network
Authors: Ivaschenko Anton , Maslennikov Sergey , Stolbova Anastasia , Golovnin Oleg
Published: April 2021

The paper presents an original multi-layer data model for software solutions to be used in transportation logistics. Versus the known technologies of data formalization based on their classification by similarity and conceptual consistency, there is proposed a new approach of information adaptive management oriented to application of parallel computing. As a basic decomposition approach, it is recommended to consider processing capacity characteristics and performance measures instead of objects and subjects classification typical for human perception. Two algorithms were proposed based on the method of criteria comparison. The sequential algorithm implements the classical approach to find a path on a graph, while the parallel one uses an approach that makes it possible to increase the efficiency of layer-by-layer task separation, taking into account the capabilities of computing system for simultaneous parallel calculations. A study conducted on real data showed an advantage in the execution time of the parallel computing algorithm over the usual sequential search of 38%.
A Meta-Mining Ontology Framework for Data Processing
Authors: Tianxing Man , Zhukova Nataly , Vodyaho Alexander , Aung Tin Tun
Published: April 2021

Extracting knowledge from data streams received from observed objects through data mining is required in various domains. However, there is a lack of any kind of guidance on which techniques can or should be used in which contexts. Meta mining technology can help build processes of data processing based on knowledge models taking into account the specific features of the objects. This paper proposes a meta mining ontology framework that allows selecting algorithms for solving specific data mining tasks and build suitable processes. The proposed ontology is constructed using existing ontologies and is extended with an ontology of data characteristics and task requirements. Different from the existing ontologies, the proposed ontology describes the overall data mining process, used to build data processing processes in various domains, and has low computational complexity compared to others. The authors developed an ontology merging method and a sub-ontology extraction method, which are implemented based on OWL API via extracting and integrating the relevant axioms.
E-Government Acceptance and Trust
Authors: Fakhoury Rania , Chebaro Bilal
Published: April 2021

Lebanon is a small developing market that is making significant investments in e-government technology. The expectation is that it will improve the quality of life and decrease corruption. The current research is survey-based using a structural equation modeling technique that investigates citizens' behavioral intentions towards using e-services and cross-validates a previous study with a new matching data sample. One hundred six questionnaires were analyzed, and findings showed significant relationships between UTAUT2 constructs (performance expectancy, habit, social influence, price value, and trust in the internet) and intention to use e-government services in Lebanon. The results also shed light on e-government adoption inhibitors (effort expectancy, facilitating conditions, hedonic motivation, and trust in government). Therefore, the findings will be beneficial to the Lebanese government to develop and improve the e-services. Despite achieving its aim, this study has its limitations, which constitute the future research direction.
Time-Aware CF and Temporal Association Rule-Based Personalized Hybrid Recommender System
Authors: Yang Dan , Nie Zheng Tie , Yang Fajun
Published: April 2021

Most recommender systems usually combine several recommendation methods to enhance the recommendation accuracy. Collaborative filtering (CF) is a best-known personalized recommendation technique. While temporal association rule-based recommendation algorithm can discover users' latent interests with time-specific leveraging historical behavior data without domain knowledge. The concept-drifting and user interest-drifting are two key problems affecting the recommendation performance. Aiming at the above problems, a time-aware CF and temporal association rule-based personalized hybrid recommender system, TP-HR, is proposed. The proposed time-aware CF algorithm considers evolving features of users' historical feedback. And time-aware users' similar neighbors selecting measure and time-aware item rating prediction function are proposed to keep track of the dynamics of users' preferences. The proposed temporal association rule-based recommendation algorithm considers the time context of users' historical behaviors when mining effective temporal association rules. Experimental results on real datasets show the feasibility and performance improvement of the proposed hybrid recommender system compared to other baseline approaches.
Long Noncoding RNA RUNXOR Promotes Myeloid-Derived Suppressor Cell Expansion and Functions via Enhancing Immunosuppressive Molecule Expressions during Latent HIV Infection
Authors: Zhang Jinyu , Thakuri Bal Krishna Chand , Zhao Juan , Nguyen Lam N. , Nguyen Lam N. T. , Khanal Sushant , Cao Dechao , Dang Xindi , Schank Madison , Lu Zeyuan , Wu Xiao Y. , Morrison Zheng D. , El Gazzar Mohamed , Jiang Yong , Ning Shunbin , Wang Ling , Moorman Jonathan P. , Yao Zhi Q.
Published: April 2021

RUNX1 overlapping RNA (RUNXOR) is a long noncoding RNA and a key regulator of myeloid-derived suppressor cells (MDSCs) via targeting runt-related transcription factor 1 (RUNX1). We and others have previously reported MDSC expansion and inhibition of host immune responses during viral infections; however, the mechanisms regulating MDSC differentiation and suppressive functions, especially the role of RUNXOR-RUNX1 in the regulation of MDSCs in people living with HIV (PLHIV), remain unknown. In this study, we demonstrate that RUNXOR and RUNX1 expressions are upregulated in MDSCs that expand and accumulate in human PBMCs derived from PLHIV. We found that the upregulation of RUNXOR and RUNX1 is associated with the expressions of several key immunosuppressive molecules, including arginase 1, inducible NO synthase, STAT3, IL-6, and reactive oxygen species. RUNXOR and RUNX1 could positively regulate each other’s expression and control the expressions of these suppressive mediators. Specifically, silencing RUNXOR or RUNX1 expression in MDSCs from PLHIV attenuated MDSC expansion and immunosuppressive mediator expressions, whereas overexpressing RUNXOR in CD33+ myeloid precursors from healthy subjects promoted their differentiation into MDSCs and enhanced the expression of these mediators. Moreover, loss of RUNXOR-RUNX1 function in MDSCs improved IFN-γ production from cocultured autologous CD4 T cells derived from PLHIV. These results suggest that the RUNXOR-RUNX1 axis promotes the differentiation and suppressive functions of MDSCs via regulating multiple immunosuppressive signaling molecules and may represent a potential target for immunotherapy in conjunction with antiviral therapy in PLHIV.
Genotype-Phenotype Correlation of the Childhood-Onset Bethlem Myopathy in the Mediterranean Region of Turkey
Authors: Kutluk Muhammet G. , Kadem Naz , Bektas Omer , Randa Nadide C. , Tuncer Gökcen O. , Albayrak Pelin , Eminoglu Tuba , Teber Serap T.
Published: April 2021

Objectives:

Collagen-VI-related myopathies are caused by both dominant and recessive mutations in the three collagen-VI-related genes (COL6A1, COL6A2, and COL6A3) and present as two different major clinical entities; Bethlem myopathy and Ullrich congenital muscular dystrophy.

Methods:

In this study, we evaluated the clinical, pathologic, and genetic features of 8 patients with Bethlem myopathy from 3 families.

Results:

We inspected disease course differences with age and mutations. Different variants in COL6A1 and COL6A2 genes were detected. Muscle MRI of the lower limbs showed a specific pattern of muscle involvement with variable severity of fatty infiltration. One family had essential hypertension.

Conclusion:

Genotype-phenotype correlation studies are critical in determining gene or mutation-targeted therapies, patient follow-up, severity and progression prediction, and genetic counselling.
Risk and Prognostic Factors in Perinatal Hemorrhagic Stroke
Authors: Çaksen Hüseyin , Köseoğlu Fatma Tuba , Güven Ahmet Sami , Altunhan Hüseyin , İyisoy Mehmet Sinan , Açıkgözoğlu Saim
Published: April 2021

Background:

Perinatal stroke encompasses a heterogeneous group of focal neurological injuries early in brain development. In this study, we aimed to compare risk and prognostic factors in preterm and term infants with perinatal hemorrhagic stroke (PHS).

Patients and Methods:

The study includes 66 infants with PHS. The infants were evaluated for demographic characteristics, fetal and maternal risk factors, perinatal events, clinical and neuroimaging findings, complications, and sequales.

Results:

Of 66 infants with PHS, 44 (66.70%) were preterm and 22 (33.30%) were term infants. Primiparity, mucosal bleeding, and multiple lobes involvement were more common in term infants than preterm infants (P < 0.05); however, respiratory insufficiency, neonatal sepsis, perinatal asphyxia, respiratory distress syndrome, use of invasive mechanical ventilation, use of noninvasive mechanical ventilation, and prolonged hospitalization were more common in preterm infants than term infants (P < 0.05). Eight (12.12%) infants died during infancy period. Small for gestational age and mucosal bleeding were more common in infants who are dead than those alive (P < 0.05). Forty-two (63.63%) infants were followed. Cerebral palsy and/or epilepsy and/or hydrocephalus were diagnosed in 36 (85.72%) infants during follow-up.

Conclusion:

Our findings showed that PHS was much more common in preterm infants. Mucosal bleeding and multiple lobes involvement were more common in term infants. PHS has high morbidity and mortality rates. Small for gestational age and mucosal bleeding were more common in infants who are dead.
Case Report: Recent Case Reports of Levant Blunt-Nosed Viper Macrovipera lebetina obtusa Snakebites in Iran
Authors: Kazemi Seyed Mahdi , Al-Sabi Ahmed , Long Chengbo , Shoulkamy Mahmoud I. , Abd El-Aziz Tarek Mohamed
Published: April 2021

Envenomation and death resulting from snakebites represent a significant public health problem worldwide, particularly in tropical and subtropical regions. The WHO has defined snakebite as a neglected tropical health concern. Bites from Macrovipera lebetina obtusa usually cause life-threatening systemic hemodynamic disturbances, reduced functionality of the kidneys, and other serious symptoms, including hypotension shock, edema, and tissue necrosis, at the bite site. Herein, we highlight five cases of M. l. obtusa envenomation that presented with wide-ranging manifestations. Many recovered cases were left with long-term musculoskeletal disabilities. In a particular case, a 15-year-old male patient was envenomed in his palm by an 80-cm M. l. obtusa. Within 12 hours, swelling extended to near the shoulder. Fasciotomy was performed on the forearm and part of the upper arm of this patient. Symptoms of severe localized pain and swelling, dizziness, weakness, low blood pressure, and itching around the bite area were documented. The patient remained in the hospital for 13 days.