bluuebunny/crossref_metadata_2025 huggingface dataset:
Two-Phase Region Effect on Film Condensation on an Inclined Plate Embedded in a Porous Medium
Authors: Lee Yeu Yee , Gorin Alexander
Published: December 2020

Film condensation in a porous medium has been receiving increasing attention due to its wide range of heat transfer applications. Some examples of these practical applications are distillation, drying technology, geothermal energy, cooling towers, heat exchangers, and air conditioning. One of the characteristic features of film condensation in porous media is the formation of a two-phase zone separating the liquid film and the vapour zone due to capillary pressure. In this paper, a physico-mathematical model of liquid film condensation on a surface embedded in a porous medium with a two-phase region effect is developed and presented. The model is based on momentum and continuity equations as applied to the liquid film and the two-phase flow region supplemented with the Darcy flow assumption and assumptions on the Leverette J-function and the saturation behaviour near the edge of the liquid film. The developed model allows a simple analytical solution to the problem in distinction to semi-analytical and numerical solutions published by different authors. From the model developed, it shows that the presence of the two-phase region decreases the liquid film thickness. By taking the capillary effects into consideration results in higher heat transfer and condensation rates due to the decrease in the liquid film thickness. The presented model yields good agreement when compared to the theoretical results and experimental data by other authors. The developed model addresses the fundamental concepts of phase transition in porous media which can effectively find applications in many areas.
Chemical Evolution in a Protoplanetary Disk within Planet Carved Gaps and Dust Rings
Authors: Alarcón Felipe , Teague R. , Zhang Ke , Bergin E. A. , Barraza-Alfaro M.
Published: December 2020

Recent surveys of protoplanetary disks show that substructure in dust thermal continuum emission maps is common in protoplanetary disks. These substructures, most prominently rings and gaps, shape and change the chemical and physical conditions of the disk, along with the dust size distributions. In this work, we use a thermochemical code to focus on the chemical evolution that is occurring within the gas-depleted gap and the dust-rich ring often observed behind it. The compositions of these spatial locations are of great import, as the gas and ice-coated grains will end up being part of the atmospheres of gas giants and/or the seeds of rocky planets. Our models show that the dust temperature at the midplane of the gap increases, enough to produce local sublimation of key volatiles and pushing the molecular layer closer to the midplane, while it decreases in the dust-rich ring, causing a higher volatile deposition onto the dust grain surfaces. Further, the ring itself presents a freeze-out trap for volatiles in local flows powered by forming planets, becoming a site of localized volatile enhancement. Within the gas-depleted gap, the line emission depends on several different parameters, such as the depth of the gap in surface density, the location of the dust substructure, and the abundance of common gas tracers, such as CO. In order to break this uncertainty between abundance and surface density, other methods, such as disk kinematics, become necessary to constrain the disk structure and its chemical evolution.
PSR J1641+3627F: A Low-mass He White Dwarf Orbiting a Possible High-mass Neutron Star in the Globular Cluster M13
Authors: Cadelano Mario , Chen Jianxing , Pallanca Cristina , Istrate Alina G. , Ferraro Francesco R. , Lanzoni Barbara , Freire Paulo C. C. , Salaris Maurizio
Published: December 2020

We report on the discovery of the companion star to the millisecond pulsar J1631+3627F in the globular cluster M13. By means of a combination of optical and near-UV high-resolution observations obtained with the Hubble Space Telescope, we identified the counterpart at the radio source position. Its location in the color–magnitude diagrams reveals that the companion star is a faint (

) He-core white dwarf. We compared the observed companion magnitudes with those predicted by state-of-the-art binary evolution models and found out that it has a mass of

, a radius of

, and a surface temperature of

K. Combining the companion mass with the pulsar mass function is not enough to determine the orbital inclination and the neutron star mass; however, the last two quantities become correlated: we found that either the system is observed at a low-inclination angle, or the neutron star is massive. In fact, assuming that binaries are randomly aligned with respect to the observer line of sight, there is a

of probability that this system hosts a neutron star more massive than

. In fact, the maximum and median mass of the neutron star, corresponding to orbital inclination angles of 90° and 60°, are

and

, respectively. On the other hand, also assuming an empirical neutron star mass probability distribution, we found that this system could host a neutron star with a mass of

if orbiting with a low-inclination angle around 40°.
Photometry of the 2015 Outburst of AG Pegasi
Authors: Mistry Dharmesh , Steele Iain A.
Published: December 2020

In 2015 June, the symbiotic binary star AG Pegasi underwent a period of outburst. SkyCam T, mounted onboard the 2 m Liverpool Telescope, collected over 650 unfiltered images of this event, and several thousand images from before and after. This note presents Sloan r′ band light curves obtained from these images. In addition, a color–magnitude diagram (CMD) using AAVSO data is included to infer parameters of the system’s white dwarf (WD). Features in the light curve allow one to classify this outburst as that of classical (or Z And) type. The CMD suggests the temperature and luminosity of the WD increase concurrently to produce the light curve maxima. Light curves either side of the event show wave-like oscillations owing to the orbital period of AG Pegasi’s components, indicating quiescence.
Updated Proper Motions for Local Group Dwarf Galaxies Using Gaia Early Data Release 3
Authors: McConnachie Alan W. , Venn Kim A.
Published: December 2020

Updated systemic proper motion estimates for 58 Milky Way satellite galaxies, based on Gaia Early Data Release 3 (EDR3), are provided. This sample is identical to that studied by McConnachie & Venn and the methodology is essentially unchanged from the original paper. The superiority of Gaia EDR3 compared to Gaia Data Release 2 means that Boötes 4, Cetus 3, Pegasus 3 and Virgo 1 have detectable systemic proper motions for the first time. For the entire galaxy sample, the median random uncertainties in the systemic proper motions are approximately a factor of two better than the previous estimates using Gaia DR2. Relevant systematic errors, which are also a factor of two smaller, dominate over random uncertainties for 25 out of the 58 objects in the sample.
TESS Visibility—When was My Favorite Star or Asteroid Observed by TESS?
Authors: Pál András
Published: December 2020

While Transiting Exoplanet Survey Satellite (TESS) covers a considerable area of the sky during routine observations and the pointing schedule is easy to follow, it is not obvious to retrieve the current and/or predicted visibility of a bulk amount of objects, considering both stationary and moving Solar System targets like asteroids or comets. The program tessvisibility is a small piece of highly portable code implemented in both C an UNIX shell, providing functionalities for such bulk retrievals at the accuracy of a TESS pixel. This accuracy includes the gaps between the focal plane CCDs, the gaps between the cameras as well as at the sector-level treatment to obtain visibility information.
Arthrinium bambusicola (Fungi, Sordariomycetes), a new species from Schizostachyum brachycladum in northern Thailand
Authors: Tang Xia , Goonasekara Ishani , Jayawardena Ruvishika , Jiang Hong , Li Jun , Hyde Kevin , Kang Ji
Published: December 2020

Species of the fungal genus Arthrinium (Sordariomycetes, Amphisphaeriales, Apiosporaceae) are often found on bamboo in Asia. They are endophytes, saprobes and important plant pathogens. The genus Arthrinium currently contains 92 species and is widely distributed in North and South America, Europe, Africa, Asia and Oceania.

In this study, a new species, Arthrinium bambusicola sp. nov., is described and illustrated. The new taxon is characterised by oval to broadly or irregularly round, medium brown, multi-guttulate to roughened, granular conidia, with finely pale slits in the outer edges. Arthrinium bambusicola can be distinguished from the closest related species A. gutiae by its conidial characteristics. Phylogenetic analyses of a four-locus dataset (ITS, LSU, TEF1, TUB2) confirm that A. bambusicola is a distinct new species.
New and interesting findings of scarab beetles (Coleoptera, Scarabaeoidea) from Tajikistan
Authors: Byk Adam , Matusiak Andrzej , Taszakowski Artur , Szczepański Wojciech T. , Walczak Marcin , Bunalski Marek , Karpiński Lech
Published: December 2020

We report on new findings of nearly 50 species that represent four families of the superfamily Scarabaeoidea, which were collected during an expedition to western Tajikistan that was carried out in June and July 2014.Rhyssemodes transcaspicusRakovič, 1982 is recorded from the country for the first time. Moreover, we describe and illustrate the differences in the external morphology betweenEuonthophagus gibbosus(Scriba, 1790) andE. koshantschikoffi(Reitter, 1891), the latter of which has a doubtful systematic position. In the collected material of approximately 1,000 specimens, more than 90% of the species and 95% of the individuals belong to the family Scarabaeidae. The other species represent the families Geotrupidae, Glaphyridae, and Hybosoridae.
Review of Mesocallis Matsumura from China (Hemiptera, Aphididae), with one new species
Authors: Chen Jing , Jiang Li-Yun , Qiao Ge-Xia
Published: December 2020

The aphid genus Mesocallis Matsumura in China is reviewed. A total of seven species are recognised using morphological characteristics, including six known species, Mesocallis (Mesocallis) alnicola Ghosh, M. (Paratinocallis) corylicola (Higuchi), M. (M.) pteleae Matsumura, M. (M.) sawashibae (Matsumura), M. (P.) yunnanensis (Zhang) and M. (M.) taoi Quednau, and one new species, M. (M.) platycaryae Qiao, sp. nov. The new species, collected on Platycarya strobilacea (Juglandaceae) in Anhui Province, China, is described and illustrated. A key to Mesocallis species from China is presented.
From Social Sustainability to Social Entrepreneurship
Authors: Toker Kerem
Published: December 2020

Despite the discussion of social sustainability, which has been a crucial component of sustainable development for decades, unfortunately, the desired successful outcomes have not been realized in practice. This failure caused the need to examine the concept of social sustainability differently than ever before. Social entrepreneurship is a valuable tool to meet this need. Concordantly, this chapter purposes to evaluate the relations between social sustainability and social entrepreneurship by comprehensively analyzing them. Discussing this relationship and proposing a new perspective will support overcome theoretical dilemmas and practical struggles. Therefore, the concept of sustainability was explained in detail through a wide literature review, and then the concept of social entrepreneurship was examined, and links, similarities, and gaps were revealed between the two concepts. As a result, the effective implementation of social sustainability policies depends on the social impact and value created by social entrepreneurship.
A Magical Tool for Social Entrepreneurship
Authors: Altındağ Erkut
Published: December 2020

In recent years, sharing behaviors, collective actions, and individual participation have gained momentum in terms of shared value creation understanding. Crowdfunding is one of the results of this new emphasis on collective participation. Where social entrepreneurship is a shining trend, financing of investments becomes increasingly essential. As social entrepreneurs struggle with the disadvantages of acquiring financial resources, crowdfunding appears to be an innovative tool to overcome financial shortcomings. In this chapter, the crowdfunding concept and its types are explained. Also, evidence of the organic bond between crowdfunding and social entrepreneurship with current examples from the world and Turkey is presented.
Crowdfunding as a Financial Tool for Social Enterprises
Authors: Yılmaz Işıl Sevilay , Yaşar Burze
Published: December 2020

Nevertheless, scholarly knowledge on crowdfunding has been accumulating, and the number of studies on the role of crowdfunding in financing social entrepreneurs is limited and results are mixed. This calls for a need to uncover the underlying dynamics of funding success for socially and environmentally oriented projects. To analyze these dynamics, the authors analyze the funding performance of campaigns tagged by the Kickstarter platform as ‘public benefit', ‘environmental', or ‘LGBTQIA'. Results show that projects with these tags are more likely to be successful compared to projects without tags after controlling for other factors that are shown to affect project success in the literature. These findings provide guidelines to social entrepreneurs looking to fund their projects on crowdfunding platforms and open up the path for future research on the relationship between framing for social and environmental orientation and funding success.
NB-IoT for Healthcare
Authors: Tengshe Richa Rajesh , Sahoo Anindita
Published: December 2020

The quality of the healthcare system is a significant contributor to a nation's economy. Technological developments in the internet of things (IoT), cloud computing, and wireless body area networks (WBAN) and their interaction have given a boost to healthcare as an application domain which seems to be very promising to improve the quality of health care. Long-range and ubiquitous deployment needs of healthcare can be very well handled by narrow band IoT (NB-IoT). NB-IoT has the potential to reduce power and bandwidth requirements. NB-IoT is a low power wide area (LPWA) version of IoT which has the potential to cater to remote healthcare needs. NB-IoT is preferred over other networks due to cost efficiency, longevity, security, and mature, wide-reaching networks. However, security is an unavoidable threat in any IoT network, so as in NB-IoT. In this chapter, the authors discuss the performance of NB-IoT for healthcare applications, the issues and challenges faced, and some of the solutions to countermeasure these problems.
NB-IoT for Agriculture
Authors: Javali Abhishek
Published: December 2020

Use of NBIoT in agriculture can enhance the performance in many aspects. Resource management in agriculture is one of the key aspects. Resources which are used to increase the harvest are underutilized because of the non-availability of precise monitoring facilities. NB-IoT can help in the optimal utilization of resources. It can accurately sense the level of usage of resources and enhance the utilization efficiency. NBIoT associated with variety of sensors for sensing water, fertilizer concentration, humidity levels can help in monitoring applications and provide great degree of precision. With NBIoT, remote controlling of the resources is possible. Use of NBIoT for agriculture reduces the energy consumption levels and overall cost involved which is ideal for farmers. Even the harvest can be increased by efficiently distributing the nutrition to the plants with NBIoT-based precise techniques.
Search and Rescue System Based on NB-IoT Wearable Device
Authors: Bouras Christos J , Gkamas Apostolos , Katsampiris Salgado Spyridon Aniceto , Papachristos Nikolaos
Published: December 2020

This chapter presents the design and development of a search and rescue (SAR) system, for the location and provision of aid to people who are missing or in imminent danger, especially those belonging to population groups with a particularly high probability of getting lost. With the use of low-power wide area network (LPWAN) technology, such as narrow band internet of things (NB-IoΤ), the authors are able to provide search and rescue solutions for individuals, especially those belonging to groups of people who are more likely to get lost. The central part of the system is a modular “wearable (portable)” device, while in the framework of the implementation of this system, the authors have seriously taken into consideration the aspects of energy efficiency in order to provide better battery life.
Green IoT and NBIoT
Authors: Mishra Pallavi
Published: December 2020

This chapter illustrates that there are many challenging problems in the modern society such as environment pollution, radiation pollution, high demand, and low supply of energy. Such issues need modern solutions to tackle them. In this context, green internet of things (IoT) solutions have come up with flying colors. As there is a constant need of the energy by the interconnected IoT devices to perceive, fetch, and transmit the real-time information, the energy demands remain high. Green IoT is an emerging concept to meet this problem by framing the energy-efficient policies so as to provide a simpler yet better solution to enhance the quality of the current practices. In this chapter, different practical aspects of green IoT and narrowband IoT (NBIoT) deployment have been presented. NBIoT narrowband signals are used in low data rates are transmitted and have a widerange of reception because narrow filters cancel out unwanted wideband noise. NBIoT has several advantages over LTE-M due to lower device cost, longer battery life and extended coverage. Finally, some future research directions have been addressed.
Utilizing Technology to Enhance Human Resource Practices
Authors: Torres Kelly M. , Statti Aubrey
Published: December 2020

HR management departments are constantly evolving as a result of new technological advancements. For family HR firms, this technological evolution is vital in ensuring that they remain innovative and current with their competitors. Technology has impacted how companies recruit, retain, and evaluate employees. However, in order to ensure that technology is effectively and accurately adopted and integrated, companies need to understand how they can employ technology to enhance their daily operations and implement tools that provide an adequate return on investment for the technology they select. In family firms, a vast majority of employees are able to ensure that funds are invested in appropriate technology-enhanced projects and that they develop a family-like culture with their stakeholders. This chapter will seek to explore these emerging trends in order to present opportunity for family owned firms to function most efficiently and effectively in the modern, technology enhanced workplace.
Value-Based Management and Responsibility in the Management of People
Authors: Ruiz-Viñals Carmen , Trallero-Fort Alberto
Published: December 2020

Today's markets require credibility, transparency, and sustainability. This demand obliges organisations to make ever greater advances in the field of management by values. Until recently, value-based management was considered just another management approach to be covered in day-to-day operations. Today, it is considered part of the strategic management of the firms. The paradigm shift began when pressure from the market and society as a whole began to insist that companies should behave like members of the ecosystem, taking full responsibility and employing their capacity to generate change. This implies that value-based management should be deployed throughout the entire organisation. This, in turn, requires companies to identify and commit to certain values that will become the cornerstone of their strategy and management style. The aim of this chapter is to claim that value-based management is a competitive advantage for family business in particular.
The Enhancement of HR Systems Through Entrepreneurial Succession in Family SMEs
Authors: Cori Enrico , Bonti Mariacristina
Published: December 2020

This chapter aims at shedding light on the “hidden relationship” between the process of entrepreneurial succession in family SMEs and the development of the HR management system in such firms. Starting from a literature review, the authors develop a reflection based on evidence from a sample of Italian family SMEs, collected through a longitudinal qualitative inquiry. They question if and how the change at the helm of the family firm may constitute an opportunity to develop or strengthen the HR management system. The ultimate goal of the chapter is to lay the foundation for building a conceptual framework in which some possible relationships between the variables involved are outlined.
Managing Generational Handover in Family Business
Authors: Barabaschi Barbara , Cantoni Franca , Virtuani Roberta
Published: December 2020

The aim of this chapter is to highlight the peculiarities of the succession in family-owned businesses and to discuss the main difficulties encountered by second and third-generation entrepreneurs during the succession process. By the use of direct interviews, the authors collected information about the specific role played by the multiplicity of stakeholders involved, first of all the HR function and the relationship with non family employees. The case studies analysed consider family firms that are managing their succession process. Two generations coexist in two cases with family members belonging to different branches of the same family. Non-family managers and employees represents a fundamental stakeholder that influence the success and sustainability of the succession process. One aim of the chapter is to analyse how the HR practices have changed during the succession process considering how the successors entered and integrated with non-family managers and employees according to the management for stakeholders approach.
Freight Village as Dry Port
Authors: Varese Erica , Marigo Danilo Stefano
Published: December 2020

The authors intend to suggest an interpretation of dry ports as functional organs of a larger facility, known in Italy as “interporto,” with reference to an Italian reality. This research fills a gap in literature as to the authors' knowledge. There is lack of research on the dry port concept, and this is the first chapter presenting this concept in an interpretation “functional” to the co-modality model of an “interporto.” The chapter firstly aims at contributing to finding possible contact points between what has up to now been defined as “dry port” and the concept of “co-modality.” The following section briefly defines the characteristics of a facility such as “interporto.” Then the connections between recent developments in shipping and in terminal business and the increased role of dry ports in the value chain are explored. Finally, the authors suggest challenges and opportunities for further study and draw their conclusions.
The Regulation of Agri-Food Safety by Regulations
Authors: Kapur Surbhi
Published: December 2020

The majority of the nations around the world have become melting pots of civilization, leading to an increasing interconnectedness of the global food system. However, with the long-winded food supply chains there exists information asymmetry between the consumers and the food they consume, making them more vulnerable to the outbreaks of diseases caused by tainted food. As an assurance that food is acceptable for human and animal consumption, food safety averts any exposure to food frauds and foodborne illness outbreaks therefrom. For this reason, the law endows the food regulators and the food business operators (FBOs) with the “trace, alert, and recall” tools at all levels of a food supply chain to regulate the safety of both the domestic as well as the imported articles of food. As a risk assessment and management tool, traceability furthers the mandate of law enforcement in facilitating and targeting the recall or removal/withdrawal of articles of foods.
Selection of The Best Supplier in Furniture Industry by Using Fuzzy Analytic Hierarchy Process Method
Authors: Ersoy Yusuf
Published: December 2020

Considering the globalization and the global economy, companies need to make strategic decisions in the furniture sector, as in many other sectors. In today's competitive conditions, supply chain management plays a major role in the success of firms and ensuring their sustainability in the sector. Therefore, companies need to work with suitable suppliers to be successful in supply chain management. There are many different methods used in the literature for evaluating suppliers. Fuzzy analytic hierarchy process (FAHP) method, which is one of the multi-criteria decision-making (MCDM) methods, is widely used in supplier selection problems. This study aimed to determine the best suppliers of a furniture production company in Turkey using the FAHP. In the study, four suppliers of the company were evaluated according to price, quality, delivery, innovativeness, and reliability criteria. As a result of the application, the ranking of the suppliers was made, and the best supplier selected.
The Differences in Leadership Styles Among Generations
Authors: Öztürk İlkay , Evrim İkiler Merve
Published: December 2020

Studies show that there are differences among generations in terms of characteristics and work attitudes and values, and these differences in their work values and attitudes as well as their characteristics affect their leadership styles at the workplaces. However, little research has been produced from the perspective of leaders. This research's purpose of the project is to set forth whether the leaders in different generations are adapting different leadership styles according to the generations or not in order to be successful during their leadership. The study was conducted in automotive industry in Turkey. Two mixed focus group discussions were conducted with leaders representing each generational cohort groups. The study's results support that there are more differences than the similarities among the generations, which is in compliance with many studies conducted by the researchers. Also, the leaders tend to adapt different leadership styles according to the generations of their subordinates.
An Action Research to Identify Problems Experienced in the ERP System Installation Process in SMEs
Authors: Karakuş Güzide , Güneş Kasım
Published: December 2020

In today's conditions, where information plays a leading role in all administrative and operational processes of the business, it is very important to collect, store, and present information to the user for the effectiveness and efficiency of all business processes. One of the tools that is important in information management and frequently preferred by businesses is the enterprise resource planning (ERP) system. This study aimed to identify the problems faced by enterprises and the root causes underlying these problems in the ERP system transition process. The problems experienced in system transition were identified by taking part in the system installation process of a medium-sized enterprise that decided to implement an ERP system, for 18 months. As a result of the study, it was determined that the enterprise had problems mostly in the design and data transfer stages of the system. The main causes of these problems were determined as the difficulties encountered in restructuring the business processes and the resistance of the employees to change.
Review of Data Mining Techniques Used in Healthcare
Authors: Gupta Usha , Sharma Kamlesh
Published: December 2020

Data mining plays a vital role in converting the medical data like text, image, and graphs into meaningful new data, which helps to take the better decision. In this chapter, an overview of the current research is discussed using the data mining techniques for the finding, analysis, and prediction of various diseases. The focus of this study is to identify the well-performing data mining algorithms used on medical and clinical databases. Multiple algorithms have been identified: text-based mining, association rule-based mining, pattern-based mining, keyword-based mining, machine learning, neural network support vector machine, apriori algorithm, k-means clustering, and natural language. Analyses of the algorithm show that there is no single algorithm or model more suitable for diagnosing or predicting diseases. In some scenarios, some algorithms work very well but not in another data set. There are many examples in clinical or medical research where the combination of different algorithms gives good results.
Incautious Usage of Social Media
Authors: Kharbanda Vrinda , Madaan Rosy , Bhatia Komal Kumar
Published: December 2020

The purpose of this chapter is to examine the incautious usage of social media and its impact on emotional intelligence and health. After a brief introduction to the emotional intelligence and the conceptualisation and evaluation of this construct, this chapter discusses a variety of studies that shed light on the social media, emotional intelligence and health relationships. The idea of emotional intelligence (EI) is of unmatched enthusiasm for both the literature and inside scholarly world. This chapter discusses emotional intelligence and focuses on the evolution of EI by examining the different models. This chapter lists some applications of emotional intelligence in our daily life. The chapter also discusses how the abilities correlate with emotional intelligence and helps individuals cope with unsettling emotions effectively and encourage pleasurable emotions to facilitate personal development and well-being.
Logically Living System
Authors: Dinga Emil
Published: December 2020

The chapter focuses on two basic objectives: a) to introduce and qualitatively examine the concept of logically living system as abstract prototype for any possible auto-poietic system and b) to analyse the co-evolution as matrix of autopoieticity of any system. To this end, based on primitive concepts as property, relationships, network, and entropy, the chapter defines an abstract “logic machine” which is named logically living system. Here, the focus of research is directed to prove that such a “logic machine” could deliver any auto-poietic system (or process, after the case) so that it is functioning as a generative grammar (as syntax) in this context. Regarding the co-evolution linked to auto-poieticity, the chapter develops discussions on some paired concepts as memes vs. semes, natural vs. institutional, or system vs. network. Finally, the chapter approaches five kinds of auto-poietic systems as generated by the “logic machine” proposed: biological, social, psychic, theory, and paradigm.
On an Automatic Stabilizer Towards the Autopoietic Social Justice
Authors: Dinga Emil , Ionescu Gabriela-Mariana
Published: December 2020

The chapter aims to design and qualitatively (especially logically) examine an automatic stabilizer which could confer to the social justice (particularly in its distributive action) the property of auto-poieticity. Some conceptual pairs are questioned regarding the vocation of social justice to become and work as an auto-poietic process within the society, such as discretionary vs. automatic, human nature vs. human condition, external goal vs. internal goal, survival vs. freedom. A basic body of the chapter is focused on the issue of automatization way of applying the principles of social justice – mainly the principle of difference. In fact, the auto-poieticity of social justice follows to be performed by a so-called regulon which automatically ensures the principle of difference working. The automatic stabilizer of an auto-poietic social justice will consist just in discretionarily integrating the mentioned regulon in the normative framework of the society in case.
Compliance Audit of Professional Competencies of Employees as a Way to Identify Valuable Employees
Authors: Karabasheva Malvina Rasulovna , Glazkova Galina Vladimirovna , Kashirskaya Liudmila Vasilevna , Sitnov Alexey Aleksandrovich , Melnik Margarita Viktorovna
Published: December 2020

Ways to retain and develop the most valuable employees in the organization – this topic is now becoming more and more relevant. Such a concept as MVE ensures the successful future of the company, as in the modern world, the possession of a rare resource that is difficult to replace is the key to the company's success. The objectives of the research were to 1) define the essence of the concept of the most valuable employees in the organization, 2) explore the general principles of the retention and development of the most valuable workers as an effective tool of the modern organization, 3) examine the use of KPI system as an important tool to improve employee motivation, 4) analyze the features of the retention and development of the most valuable employees as an example of bank, and 5) improve the existing system of developing and retaining the most valuable employees in the bank.
Network Organizations
Authors: Sobolewska Olga Irene
Published: December 2020

Contemporary organizations must not only react, but also adapt to the never-ending changes. These are both technological and social in nature and occur in all areas of life and the economy. As a result, the current forms of management and traditional business models do not always turn out to be effective. One of the solutions for the new market requirements is cooperation in network structures. Modern technology makes it possible. The chapter presents the genesis and definition of organizations with a network and hybrid structure, and the factors determining the undertaking of cooperation activities between different organizations. The consequences of such cooperation between organizations were also indicated. The chapter presents the outcomes of the survey conducted in 2020, under exceptional conditions, due to the epidemiological situation in the world. In this unusual situation, network cooperation acquires a new, special meaning for the future economy.
The Impact of Social Media on Knowledge Culture
Authors: Engel Samantha , Lee-Davies Linda
Published: December 2020

Culture is not static and technological innovations have greatly changed culture throughout history, no more so than in recent years. Modern culture is very much influenced and defined by recent technology and media use, primarily through social media applications such as Facebook, Instagram, LinkedIn, Snapchat and Twitter. Although use and impact vary around the world, globalization brings this cultural change into wider and faster channels. Social media has transformed the way people interact and learn in local, national and international terms as well as evolving new social practices. Echo chambers, filter bubbles, and fake news dominate the internet and people's lives, determining and even limiting the content of learning that people are exposed to on social media platforms. This, in itself, channels cultural practice into homogenized tranches creating a cyclical influence which feeds back into evolving technology. This article sets out to discuss the current cultural impact of social media, its limitation on learning and surface the ethical issues surrounding its use.
Populism, Fake News, and the Flight From Democracy
Authors: Nielsen Greg
Published: December 2020

Fake news and populist movements that appear to hold the fate of democracy hostage are urgent concerns around the world.  The flight from liberal democracy toward oligarchy has spread out from the unexpected results of the 2016 American presidential elections bringing in a wave of reactionary populism and the beginning of a left populist counter movement. The phenomenon of fake news is often explained in terms of opposition public relations strategies and geopolitics that shift audiences toward a regime of post-truth where emotion is said to triumphs over reason, computational propaganda over common sense, or sheer power over knowledge. In this chapter, the authors propose something different in order to theorize the imaginary audience(s) and conditions of reception for fake news treated as both a symptom (often of injury) and a cause (at times a danger to democracy). This leads them to evaluate the role it plays in defining what the fields of journalism, politics, and social science are becoming and what it means for democracy to come.
Social Media as Disruptive Technologies in an Era of Fake News
Authors: Kamga Osée
Published: December 2020

Since the Arab Spring (2010-2012), there has been a growing interest in the transformative power of social media, with a number of studies looking at its power to mobilize hitherto silent majority of the people, its ability to spread information at a lightning speed or to shape government-citizen relationship. This chapter is part of that trend, and it focuses specifically on Sub-Saharan Africa. It borrows Christensen's concept of “disruptive technologies” and uses it as a framework to analyze the processes of social media appropriation in the political field in that part of the continent. The chapter articulates ways in which social media are transforming the political landscape in the region and wonders about the outcome of these processes in the backdrop of the emerging and spreading of fake news.
An Overview (and Criticism) of Methods to Detect Fake Content Online
Authors: Badia Antonio
Published: December 2020

The recent controversy over ‘fake news' reminds us of one of the main problems on the web today: the utilization of social media and other outlets to distribute false and misleading content. The impact of this problem is very significant. This article discusses the issue of fake content on the web. First, it defines the problem and shows that, in many cases, it is surprisingly hard to establish when a piece of news is untrue. It distinguishes the issue of fake content from issues of hate/offensive speech (while there is a relation, the issues involved are a bit different). It then overviews proposed solutions to the problem of fake content detection, both algorithmic and human. On the algorithmic side, it focuses on work on classifiers. The chapter shows that most algorithmic approaches have significant issues, which has led to reliance on the human approach in spite of its known limitations (subjectivity, difficulty to scale). Finally, it closes with a discussion of potential future work.
Rumor Detection on Twitter Using a Supervised Machine Learning Framework
Authors: Thakur Hardeo Kumar , Gupta Anand , Bhardwaj Ayushi , Verma Devanshi
Published: December 2020

This article describes how a rumor can be defined as a circulating unverified story or a doubtful truth. Rumor initiators seek social networks vulnerable to illimitable spread, therefore, online social media becomes their stage. Hence, this misinformation imposes colossal damage to individuals, organizations, and the government, etc. Existing work, analyzing temporal and linguistic characteristics of rumors seems to give ample time for rumor propagation. Meanwhile, with the huge outburst of data on social media, studying these characteristics for each tweet becomes spatially complex. Therefore, in this article, a two-fold supervised machine-learning framework is proposed that detects rumors by filtering and then analyzing their linguistic properties. This method attempts to automate filtering by training multiple classification algorithms with accuracy higher than 81.079%. Finally, using textual characteristics on the filtered data, rumors are detected. The effectiveness of the proposed framework is shown through extensive experiments on over 10,000 tweets.
Attitudinal Components and Repurchase Intention With the Mediating Role of Personality Traits
Authors: Hasan Mahamudul
Published: December 2020

The purpose of this paper is to investigate the impact of cognitive and affective attitude on repurchase intention of mobile handsets of Bangladeshi consumers with the mediating role of innovatism, materialism, and self-uniqueness. The researchers collected survey data using simple random sampling method from selected areas of Barisal division. Total number of respondents of the study is 264. The results of this study showed that cognitive and affective components of attitude have a significant impact on repurchase intentions of mobile handsets in Bangladesh which is partially and fully mediated by innovatism and self-uniqueness. However, materialism has no mediation on the impact of cognitive and affective attitude on purchase intention. The study also shows that innovatism has negative influence on repurchase intention, but self-uniqueness and materialism has significant positive influence.
Learning Trajectory Patterns via Canonical Correlation Analysis
Authors: Huang Ping , Lu Jinliang
Published: December 2020

A substantial body of research has been devoted to the analysis of motion trajectories. Usually, a motion trajectory consists of a set of coordinates, which is called a raw trajectory. In this paper, the authors first use vectors for some artificially constructed global features, such as the mean discrete curvature and standard deviation of acceleration, to represent the raw trajectory data, and then apply a multiset canonical correlation analysis method to extract latent features from the artificially constructed features. The performance of the latent features is then measured by evaluating the accuracy and F1 score of a gradient boosting decision tree model for different datasets, which include paired sample datasets and unpaired sample datasets. The experimental results show that the classifier performance for MCCA features is much better than that obtained for the artificially constructed features, such as that for the motion distance or mean velocity.
The Research of Social Network Analysis on College Students' Interactive Relations
Authors: Chen Chang , Chen Min
Published: December 2020

Nowadays the number of college students' suicides are increasing for the insufficient social support or poor interpersonal relations. Furthermore, not much attention has been concerned to students' interpersonal relations when handling student affairs and only very limited information about students' interaction network is available. This paper studies the peer network of college students by using the tool of social network analysis. And it aims to serve as instrumental support for students to foster and develop harmonious interpersonal relations. It offers new information for school counsellor to better handle student affairs and provides information support for the carrying out of moral and ideological guidance for students.
Efficient Channel Estimation in Massive MIMO Partially Centralized Cloud-Radio Access Network Systems
Authors: Mukubwa Emmanuel , Sokoya Oludare
Published: December 2020

This article investigates channel estimation problem in massive MIMO partially centralized cloud-RAN (MPC-RAN). The channel estimation was realized through compressed data method to minimize the huge pilot overhead, then combined with parallel Givens data projection method (PGDPM) to form a semi-blind estimator. Comparison and analysis of improved minimum mean square error (MMSE), fast data projection method (FDPM), compressed data, and PGDPM techniques was evaluated for achievable normalized mean square error (NMSE) in MPC-RAN. The PGDPM-based estimator had the lowest normalized mean square error. The FDPM and PGDPM based methods are comparable in performance with PGDPM based estimator having a slight edge over FDPM-based estimator. This vindicates PGDPM-based estimator as a method to be utilized in channel estimation since it compresses the massive MIMO channel information, hence mitigating the fronthaul finite capacity problem, and at the same time, it is geared towards efficient parallelization for optimal BBU resource utilization.
The Effects of Fully and Partially In-Game Guidance on Players' Declarative and Procedural Knowledge With a Disaster Preparedness Serious Game
Authors: Zhou Ting , Loh Christian S.
Published: December 2020

Studies suggest that serious games are useful tools for disaster preparedness training, but few have examined if instructional factors differentially affect the learning outcomes. This study investigated the effects of players' gaming frequency, prior knowledge, and in-game guidance received on their declarative and procedural knowledge in a disaster preparedness serious game. Findings showed that gaming frequency was not a significant predictor for learning outcomes. By contrast, players' prior knowledge, the types of in-game guidance received, and the interaction between the two were all significant predictors for the acquisition of declarative knowledge and development of procedural knowledge. The interaction term revealed a moderator effect, indicating that the relationship between a player's prior knowledge and learning outcomes was affected by the type of in-game (full or partial) guidance received.
Wireless-Enabled Fashion
Authors: Pau L.F.
Published: December 2020

This paper is devoted to the supply and business models around wireless-enabled clothing by and for the clothing industry itself. Employing existing or innovative differentiating technologies, each piece of wireless-enabled clothing becomes a user equipment with customization in functionality and clothing designs. Relevant technologies are selected, allowing to map and model the implications for product integration, supply chains, distribution channels, and quantified costs. This research rests on very extensive collaborative and industrial R&D projects. In conclusion, modular wireless-enabled clothing offers significant personalization and distribution opportunities at costs comparable to mobile terminals like smartphones.
Study of Mn doping on the Structural, Optoelectronic and Photoluminescence Properties of F-Doped SnO2 Sprayed Thin Films for Optoelectronic Applications
Authors: Houaidji Naoual , Ajili Mejda , Chouial Baghdadi , Kamoun-Turki Najoua , Kamli Kenza , Khadraoui Asma , Hadef Zakaria , Zaidi Beddiaf , Hadjoudja Bouzid
Published: December 2020

The aim of this work is the production and the characterisation of (SnO2: (Mn, F)) thin films with appropriate optoelectronic properties required for application as ohmic contacts in photovoltaic application devices. Transparent conducting Manganese-fluorine co-doped tin oxide (SnO2: (Mn, F)) thin films have been deposited onto preheated glass substrates using the chemical spray pyrolysis (CSP) method. The ([Mn2+]/[Sn4+]) atomic concentration ratio (y) in the spray solution is varied between 0 and 8 at. %. The structural, the opto-electrical and the photoluminescence properties of these thin films have been studied. It is found that the deposited thin films are polycrystalline with a tetragonal crystal structure corresponding to SnO2 phase having a preferred orientation along the (200) plane. Transmission and reflection spectra reveal the presence of interference fringes indicating the thickness uniformity and the surface homogeneity of the deposited samples. Photoluminescence behaviour of Mn-F co-doped SnO2 thin films was also studied. Photoluminescence spectra reveal the presence of the defects like oxygen vacancies in the materials. In addition, The electrical resistivity, volume carrier concentration, surface carrier concentration and electrical mobility were determined from Hall Effect measurements and the following results were obtained: n-type conductivity in all the deposited thin films, a low resistivity of 1.50×10-4 Ω cm, and a high electrical mobility of 45.40 cm2 V-1 s-1 with Mn co-doping concentration equals to 7 at. %. These experimental results show that the electrical properties of these thin films where greatly improved making them suitable as ohmic contacts in photovoltaic applications devices.