bluuebunny/crossref_metadata_2025 huggingface dataset:
Covid-19 : une crise sous l’emprise des réseaux sociaux
Authors: Chevrel Stéphanie , Éveillard Anne
Published: October 2021

« La Covid-19 est la première pandémie de l’histoire dans laquelle les réseaux sociaux sont utilisés. » C’est le constat que dresse d’emblée le Dr Sylvie C. Briand, lorsqu’elle observe la façon dont le grand public a été informé depuis le premier cas de coronavirus recensé à Wuhan, en Chine, le 1 er  décembre 2019. Directrice du département gestion des risques infectieux de l’Organisation mondiale de la santé (OMS), elle s’exprimait le 24 novembre 2020 lors de la conférence « Quand l’infodémie santé s’invite dans le débat » 1 . Twitter, Facebook, LinkedIn, Instagram… tous les réseaux sont concernés. Des réseaux dont l’utilisation a battu des records en France, durant le premier confinement. De prime abord, le Dr C. Briand y voit une avancée : les nouvelles technologies permettent une information instantanée et en continu n’importe où dans le monde, ce qui est un progrès. C’est aussi un pas en avant pour informer en temps réel et permettre à chacun de se protéger, de se mettre en sécurité face à un danger sanitaire. Vivre avec un smartphone, c’est disposer d’une agence de presse dans la poche. Mais la médaille a son revers. Ces outils qui permettent d’être connectés à tous, à tout, partout, tout le temps, sont également ceux qui délivrent de fausses informations et autres théories complotistes.
Réformer l’hôpital : GHT ou fusion d’établissements ?
Authors: Dewitte Jean-Pierre
Published: October 2021

Comment l’hôpital peut-il se réformer ? Depuis très longtemps, des hypothèses multiples ont été avancées ; modifier le statut de l’hôpital public pour lui substituer un statut d’établissement privé d’intérêt collectif ; modifier le statut de la fonction publique hospitalière certes très protecteur, mais qui ne facilite pas les changements d’organisation en profondeur ; alléger les contraintes du code des marchés publics…Ces idées n’ont pas émergé, même si la crise sanitaire récente a fait bouger quelques lignes dans le bon sens. La stratégie de la fusion d’établissements mérite d’être explorée.
Face à la radicalisation islamiste : des politiques publiques multisectorielles
Authors: Vallar Christian
Published: October 2021

La radicalisation islamiste est structurée par deux courants majeurs en concurrence malgré d’indéniables convergences. Le premier est l’islamisme, héritage de Hassan el-Banna, doctrine politique qui cherche à fonder un État et une société conformes à la loi religieuse. Les Frères musulmans en sont le cœur : pourchassés dans de nombreux États musulmans, ils développent en Europe une stratégie d’influence. Le second est le salafisme jihadiste, messianisme armé prônant le retour aux sources des pieux ancêtres ( salaf ) : Al Qaïda et Daech en sont les funestes incarnations. Les deux mouvances s’affrontent de façon ouverte ou souterraine. Face à ces menaces, la stratégie publique adoptée depuis 2014 est multisectorielle, adoptant mesures préventives et répressives, qui suscitent des critiques fondées à la fois sur les atteintes aux droits de l’homme et sur leur efficacité.
« Souriez, vous êtes filmés ». Sécurité, liberté et exposition de soi dans l’espace public
Authors: Vidal Bertrand
Published: October 2021

Depuis les attentats du 11 septembre 2001, le concept d’« ennemi invisible » ou d’« ennemi fantôme » s’est fait jour. Ce concept signe la fin des guerres entre nations, mais ne signifie pas un état de paix perpétuelle, imaginaire de la sécurité depuis l’Antiquité («  pax et securitas  », pour reprendre la formule de saint Paul). Bien au contraire. Les discours et trames narratives contemporains qui mêlent big data , RFID, reconnaissance faciale, applications de traçages, hypervisibilité, sécurité des rassemblements et lutte contre l’« ennemi invisible » (le terroriste ou la Covid-19, désormais) sont à entrevoir comme des formes de guerres nouvelles et peut-être perpétuelles.
Les limites de la police municipale : le maire et les pesticides
Authors: Rombauts-Chabrol Tiphaine
Published: October 2021

Les dizaines d’arrêtés municipaux dits « anti-pesticides » ont agité l’actualité médiatique nationale à partir de l’été 2019. Entendant protéger la santé publique ou l’environnement, ces décisions municipales intègrent un contentieux particulièrement incertain : celui de l’articulation des pouvoirs de police administrative générale et spéciale. L’actualité la plus récente permet d’y revenir, en s’interrogeant sur la place actuelle du pouvoir historique de police municipale.
Why socio-economic and attitudinal factors cannot predict entomophagy in rural areas of Madagascar
Authors: Meysing A. , Forneck S. , Razafindrakotomamonjy A. , Dürr J.
Published: October 2021

Entomophagy is commonly promoted as one solution to fight global food insecurity. Although many research articles have been published on the perception and acceptance of edible insects in Western nations, comparatively little attention has been paid to developing countries. To narrow down the existing research gap, this study investigates insect consumption behaviour in rural areas of Madagascar, a country that is severely affected by chronic malnutrition. The data was obtained from a household survey conducted in January 2020 in the rural commune of Sandrandahy in the central highlands of Madagascar. Using systematic cluster sampling with probability proportional to size, in 12 out of 38 villages, a sample of 216 households was randomly chosen. Multiple linear regressions were used to determine factors that explain differences in the quantities of insects consumed between local consumers. The amount of time households spent for insect harvesting, a variable which was not considered in any of the other studies reviewed, is the single most important factor explaining the amounts of insects consumed. In light of the results, we try to explain why socio-economic factors and most of the product-related attitudinal factors do not play a role in predicting insect consumption patterns in rural areas of Madagascar. More studies with larger samples in Madagascar and other sub-Saharan African countries are needed to validate the results. Future research should seek to make use of mixed-method approaches to provide more context-specific instruments. The promotion of insect rearing as a farming activity, as opposed to harvesting in the wild, is recommended to overcome seasonal availability gaps, exploit the tremendous potential of edible insects for food security, and strengthen the tradition of entomophagy.
Fractional $ 1 $-Laplacian evolution equations to remove multiplicative noise
Authors: Gao Tianling , Liu Qiang , Zhang Zhiguang
Published: October 2021

In this paper, we propose a new image denosing model to remove the multiplicative noise by a maximum a posteriori estimation and an inhomogeneous fractional \begin{document}$ 1 $\end{document}-Laplace evolution equation. The main difficulty of the problem is the equation will become very singular when \begin{document}$ u(x) = u(y) $\end{document}. The existence and uniqueness of the weak positive solution are proved. Numerical examples demonstrate the better capability of our model on some heavy multiplicative noised images.
Presence of Thrombectomy-capable Stroke Centers Within Hospital Service Areas Explains Regional Variation in the Case Fatality Rate of Acute Ischemic Stroke in Korea
Authors: Park Eun Hye , Gil Yong Jin , Kim Chanki , Kim Beom Joon , Hwang Seung-sik
Published: October 2021

Objectives: This study aimed to explore the status of regional variations in acute ischemic stroke (AIS) treatment and investigate the association between the presence of a thrombectomy-capable stroke center (TSC) and the case fatality rate (CFR) of AIS within hospital service areas (HSAs).Methods: This observational cross-sectional study analyzed acute stroke quality assessment program data from 262 hospitals between 2013 and 2016. TSCs were defined according to the criteria of the Joint Commission. In total, 64 HSAs were identified based on the addresses of hospitals. We analyzed the effects of structure factors, process factors, and the presence of a TSC on the CFR of AIS using multivariate logistic regression.Results: Among 262 hospitals, 31 hospitals met the definition of a TSC. Of the 64 HSAs, only 20 had a TSC. At hospitals, the presence of a stroke unit, the presence of stroke specialists, and the rate of endovascular thrombectomy (EVT) treatment were associated with reductions in the CFR. In HSAs, the rate of EVT treatment (odds ratio [OR], 0.98; 95% confidence interval [CI], 0.97 to 0.99) and the presence of a TSC (OR, 0.93; 95% CI, 0.88 to 0.99) significantly reduced the CFR of AIS.Conclusions: The presence of a TSC within an HSA, corresponding to structure and process factors related to the quality of care, contributed significantly to lowering the CFR of AIS. The CFR also declined as the rate of treatment increased. This study highlights the importance of TSCs in the development of an acute stroke care system in Korea.
Regional Differences in the Effects of Social Relations on Depression Among Korean Elderly and the Moderating Effect of Living Alone
Authors: Kim Chanki , Chang Eun Jee , Kim Chang-yup
Published: October 2021

Objectives: Socioeconomic disadvantages interact with numerous factors which affect geriatric mental health. One of the main factors is the social relations of the elderly. The elderly have different experiences and meanings in their social lives depending on their socio-cultural environment. In this study, we compared the effects of social relations on depression among the elderly according to their living arrangement (living alone or living with others) and residential area.Methods: We defined social relations as “meetings with neighbors” (MN). We then analyzed the impact of MN on depression using data from the Korean Longitudinal Study of Aging Panel with the generalized estimating equation model. We also examined the moderating effect of living alone and performed subgroup analysis by dividing the sample according to which area they lived in.Results: MN was associated with a reduced risk of depressive symptoms among elderlies. The size of the effect was larger in rural areas than in large cities. However, elderly those who lived alone in rural areas had a smaller protective impact of MN on depression, comparing to those who lived with others. The moderating effect of living alone was significant only in rural areas.Conclusions: The social relations among elderlies had a positive effect on their mental health: The more frequent MN were held, the less risk of depressive symptoms occurred. However, the effect may vary depending on their living arrangement and environment. Thus, policies or programs targeting to enhance geriatric mental health should consider different socio-cultural backgrounds among elderlies.
Formalizing Reasons, Oughts, and Requirements
Authors: Mullins Robert
Published: October 2021

Reasons-based accounts of our normative conclusions face difficulties in distinguishing between what ought to be done and what is required. This article addresses this problem from a formal perspective. I introduce a rudimentary formalization of a reasons-based account and demonstrate that that the model faces difficulties in accounting for the distinction between oughts and requirements. I briefly critique attempts to distinguish between oughts and requirements by appealing to a difference in strength or weight of reasons. I then present a formalized reasons-based account of permissions, oughts and requirements. The model exploits Joshua Gert (2004; 2007) and Patricia Greenspan’s (2005; 2007; 2010) suggestion that some reasons perform a purely justificatory function. I show that the model preserves the standard entailment relationships between requirements, oughts and permissions.
LITERATURA E IMAGINÁRIO COLETIVO
Authors: Lisboa Íris Vitória Pires , Assmann Sarayva Juracy
Published: October 2021

Este estudo pretende sinalizar alguns aspectos referentes ao imaginário e à representação do mundo na crônica literária. Entende-se que a crônica é um gênero que transita entre o jornalismo e a literatura e por isso também constrói de forma subjetiva os sentidos a respeito do que acontece no cotidiano. Em diálogo com elementos da História, este trabalho aborda a crônica literária sob outro viés, na tentativa de encaminhar novas abordagens do gênero textual.
Developing a Method to Valuate the Collection of Big Data
Authors: Wolverton Colleen Carraher , Hollier Brandi N. Guidry , Totaro Michael W. , Slatten Lise Anne D.
Published: October 2021

Although organizations recognize the potential of “big data,” implementation of data analytics processes can consume a considerable amount of resources. The authors propose that when organizations are considering this costly and often risky investment, they need a systematic method to evaluate the costs of data collection associated with the implementation of a new data and analytics (D & A) strategy or an expansion of an existing effort. Therefore, in this article, a new dimension of big data is proposed which is incorporated into a theoretically justified and systematic method for quantifying the costs and benefits of the data collection process. By estimating the worth of data, organizations can more efficiently focus on streamlining the collection of the most beneficial data and jettisoning less valuable data collection efforts.
An Analysis of Big Data Analytics
Authors: Singh Vijander , Bairwa Amit Kumar , Sinwar Deepak
Published: October 2021

In the development of the advanced world, information has been created each second in numerous regions like astronomy, social locales, medical fields, transportation, web-based business, logical research, horticulture, video, and sound download. As per an overview, in 60 seconds, 600+ new clients on YouTube and 7 billion queries are executed on Google. In this way, we can say that the immense measure of organized, unstructured, and semi-organized information are produced each second around the cyber world, which should be managed efficiently. Big data conveys properties such as unpredictability, 'V' factor, multivariable information, and it must be put away, recovered, and dispersed. Logical arranged data may work as information in the field of digital world. In the past century, the sources of data as to size were very limited and could be managed using pen and paper. The next generation of data generation tools include Microsoft Excel, Access, and database tools like SQL, MySQL, and DB2.
The Components of Big Data and Knowledge Management Will Change Radically How People Collaborate and Develop Complex Research
Authors: Choudhury Amitava , Aggarwal Ambika , Rangra Kalpana , Bhatt Ashutosh
Published: October 2021

Emerging as a rapidly growing field, big data is already known for promising success and having considerable synergies with knowledge management. The common goal of this collaboration is to improve and facilitate decision making, fueling the competition, fostering innovation, and achieving economic success through acquisition of knowledge to various applications. Knowledge in the entire world or inside any organization has already expanded itself in various directions and is exponentially increasing with time. To withstand the current competitive environment, an intensive collaboration of knowledge management with different approaches and algorithms of big data is required. Classical structuring is becoming obsolete with the increasing amount of knowledge components.
Data Management and Big Data Analytics
Authors: Jayagopal Vellingiri , Basser K. K.
Published: October 2021

The internet is creating 2.5 quintillion bytes of data, and according to the statistics, the percentage of data that has been generated from last two years is 90%. This data comes from many industries like climate information, social media sites, digital images and videos, and purchase transactions. This data is big data. Big data is the data that exceeds storage and processing capacity of conventional database systems. Data in today's world (big data) is usually unstructured and qualitative in nature and can be used for various applications like sentiment analysis, increasing business, etc. About 80% of data captured today is unstructured. All this data is also big data.
Intelligent Big Data Analytics in Health
Authors: Bayrak Ebru Aydindag , Kirci Pinar
Published: October 2021

Intelligent big data analytics and machine learning systems have been introduced to explain for the early diagnosis of neurological disorders. A number of scholarly researches about intelligent big data analytics in healthcare and machine learning system used in the healthcare system have been mentioned. The authors have explained the definition of big data, big data samples, and big data analytics. But the main goal is helping researchers or specialists in providing opinion about diagnosing or predicting neurological disorders using intelligent big data analytics and machine learning. Therefore, they focused on the healthcare systems using these innovative ways in particular. The information of platform and tools about big data analytics in healthcare is investigated. Numerous academic studies based on the detection of neurological disorders using both machine learning methods and big data analytics have been reviewed.
Improving Project Management Decisions With Big Data Analytics
Authors: Jamil George Leal , Carvalho Luiz Fernando Magalhães
Published: October 2021

A relationship between project management and knowledge management was observed with a detailed level of analysis in this chapter, as analytics tools and methods were presented to define new perspectives for these dynamics. After a theoretical review that advanced the level reached by a previous paper on the same topic a new theoretical background was completely worked, resulting in a base where a deeper way of analysis allowed, at the end, to study practical cases of rich association for PM and KM in practical, ready to apply situations. As a trend for next competitive cycles, tools, methods, and techniques that focus knowledge production for decision making are to be increasingly defined and applied, on one hand enabling organizations to propose new competitive structures and positioning, and on the other hand, presenting a more aggressive, faster, and demanding competitive environment.
Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis
Authors: Raghupathi Viju , Zhou Yilu , Raghupathi Wullianallur
Published: October 2021

In this article, the authors explore the potential of a big data analytics approach to unstructured text analytics of cancer blogs. The application is developed using Cloudera platform's Hadoop MapReduce framework. It uses several text analytics algorithms, including word count, word association, clustering, and classification, to identify and analyze the patterns and keywords in cancer blog postings. This article establishes an exploratory approach to involving big data analytics methods in developing text analytics applications for the analysis of cancer blogs. Additional insights are extracted through various means, including the development of categories or keywords contained in the blogs, the development of a taxonomy, and the examination of relationships among the categories. The application has the potential for generalizability and implementation with health content in other blogs and social media. It can provide insight and decision support for cancer management and facilitate efficient and relevant searches for information related to cancer.
Big Data Analytics in Undergraduate Advertising Curricula
Authors: Yang Kenneth C. C. , Kang Yowei
Published: October 2021

The rapid ascent of data-driven advertising practices has allowed advertising professionals to develop highly-targeted and personalized advertising campaigns. The success of data-driven advertising relies on if future professionals are proficient with basics of Big Data analytics. However, past research of undergraduate advertising curricula around the world has shown that higher education institutions tend to fall behind in offering the most up-to-dated training for advertising students. Findings have shown that undergraduate advertising programs have slowly taken advantage of the potential of the data analytics tools and techniques. This trend is observed among higher education institutions around the world. Practical, research, and pedagogical implications are discussed.
Digital Government as Implementation Means for Sustainable Development Goals
Authors: Marcovecchio Ignacio , Thinyane Mamello , Estevez Elsa , Janowski Tomasz
Published: October 2021

One of the challenges for implementing Sustainable Development Goals (SDGs) is the measurement of indicators that represent progress towards such goals. Measuring such progress enables data-driven decision-making and management of SDG-relevant projects and strategies. The premise of this research is that measuring such indicators depends on measuring so-called means of implementation, i.e. activities that directly contribute to the achievement of SDGs. Building on this premise, this article studies how the measurement of digital government (DG) can contribute to the measurement of SDGs. In particular, how the indicators originating in three DG measurement instruments can inform the SDG indicators. The main finding is an alignment matrix, showing how the DG indicators contribute with varying level of specificity to the measurement of 10 SDG indicators.
Sustainable Development Goal 3 Strategies to Take a Leap
Authors: Vij Dimpal , Singh Harjit
Published: October 2021

Third of the Sustainable Development Goals (SDGs) set by United Nations to be achieved by 2030 is health and well-being for all which is the first requisite for the progress of a nation. The countdown to the date sets for the achievement of SDGs has already begun and during these years our government has tried a lot to achieve these targets. This chapter analyses India's preparation for achieving Sustainable Development Goal 3. It begins with India's current status on key health indicators as set by SDG 3 and what progress India has already made at nation and state levels. The chapter includes government initiatives taken to achieve goals before the target dates. Finally, it analyses the weaknesses of India's healthcare system and suggests strategies that can help India achieve goals much before the target dates.
Nature-Based Solutions for Water Security and the Role of Education for Enhancing the Implementation of the 2030 Agenda
Authors: Csala Janos , Mwangi Jennifer Wanjiku
Published: October 2021

Water security is a central sustainable development challenge. Billions of people lack access to clean and reliable water, while global hydrological changes and increasingly common extreme weather events pose serious risks. However, current issues are mainly driven by unsustainable management and ensuing ecological degradation. Nature-based solutions restore, enhance and safeguard ecosystems that provide water for people and the rest of nature. They also buffer the impacts of natural hazards and provide other critical benefits. Global policy frameworks on sustainable development, disaster prevention, climate change, biodiversity, wetlands and desertification offer holistic objectives toward water security. Education and capacity development is one of their central connective tissues, and as a mean to enhance their implementation. In spite of this, major gaps remain that require novel approaches. This chapter explores these and discusses strategic considerations and innovative approaches that can leverage existing knowledge and foster context specific innovation for transformative solutions.
Powering the Sustainable Development Goals for Green Growth in Nigeria
Authors: Adetiloye Kehinde Adekunle , Babajide Abiola Ayopo , Taiwo Joseph Niyan
Published: October 2021

This chapter is on the use of the Sustainable Development Goals (SDGs) for the achievement of green economy in Nigeria with the specific aim of assessing the performance of key issues in the SDGs. Five goals SDGs 6, 7, 11, 12, and 15 for water and sanitation, safe human settlements, renewable energy, sustainable consumption and production, and ecosystem, respectively, are selected for assessment for the green initiatives and the economy. Budgets on economic and social services follows the pattern theory: that government allocates and reallocates at will without cognizance of the population's interests. The assessment holds the fact that only two of these goals are being met somehow—renewable energy and clean water—and not necessarily because of the need to achieve the goals but as part of private sector and dynamic market initiatives, clearly indicating failures for the others. For the most part, Nigeria failed in the areas of ecosystem, good human settlement, and responsible consumption. The chapter suggests the encouragement of entrepreneurial initiatives, the initiation of new policies on green economy, and the enforcement of regulations already in place to power the economy.
3R Principle in Household Energy Consumption Patterns
Authors: Yildirim Seda
Published: October 2021

Energy is an important issue for achieving sustainable development. Sustainable Development Goals emphasize renewable energy sources, green energy technologies, and energy efficiency for sustainable world. In addition, energy consumption patterns can influence energy efficiency as much as green energy policies. In this point, sustainable consumption patterns should be adapted into energy consumption. 3R principle can be an alternative model for sustainable energy consumption. This study aims to explore how household can adapt 3R principle in energy consumption patterns in Turkey. Turkey aims to achieve sustainable development goals and especially works to achieve energy security and efficiency in the long term. In this point, the contribution of households will play a critical role for energy efficiency and security in a country. The study analyzed open access data from TURKSTAT (Turkish Statistical Institute) to determine the framework of household energy consumption patterns.
Leadership in Tourism
Authors: Rowlands Josh , Knox Matthew Wayne , Campbell Tessa , Cui Anna , DeJesus Luke
Published: October 2021

This chapter proposes to discuss the application of authentic leadership as the ‘vehicle' forward for tourism. Specifically, how authentic leaders in the tourism industry can help achieve the United Nations Sustainable Development Goals (SDGs), and why they are important to the Tasmanian tourism industry. As such, the authors propose the research question: How can authentic leadership enable the sustainable development of tourism in Tasmania? This chapter commences by exploring tourism in Tasmania and the related leadership gap found in the industry, followed by a brief explanation of our critical review method. The literature review then examines how tourism, a diverse industry, has the potential to contribute to the United Nation's SDGs. The authors aim to demonstrate how sound authentic leadership behaviours among tourist vendors facilitate ethical employment practices and economic growth in Tasmania. Finally, the chapter explores the possible implications of a synthesis of authentic leadership and sustainable development in the context of Tasmania.
Innovation-Driven Growth of Tourist Destinations in the Russian Arctic
Authors: Ivolga Anna , Trukhachev Alexander , Elfimova Yulia
Published: October 2021

The attractiveness of the Arctic as a tourist destination has been growing. The growth is determined by a number of competitive advantages of the region in the eyes of foreign tourists. Along with higher income to those countries involved, mass tourism brings serious challenges in remote Arctic areas: increasing pollution through tourist traffic, risk of environmental damage because of accidents with cruise ships. One of the possible solutions to the coexistence between the exploration of Arctic tourist destinations and sustainable development is an innovation-driven growth. In the sensitive Arctic areas, traditional approaches to the development of tourism business are not applicable. Innovation approach represents a new concept of how tourism can at the same time bring economic benefits to remote and peripheral Arctic areas and ensure sustainable development of a fragile environment. The goal of this chapter is to define the categories of innovations applicable in Arctic tourism, including process, marketing, institutional, management, product, and service innovations.
VIDE-LEO
Authors: Venkatesh Ramamurthy , Singhal Tarun Kumar , Hallur Giri Gundu
Published: October 2021

Contemporary insights on business innovation exhibit diverse recommendations, yet lack practical frameworks for quantifying business innovation success. VIDE-LEO business innovation framework is an effort to answer this challenge with innovation metrics defined as a conflation of four VIDE dimensions namely value, innovation, digital and enterprise dimensions in a 360° perspective. These dimensions are triangulated as LEO dimensions such as leadership, enablement and orchestration. Obviously, there are no previous studies available as applied to Small and Medium Enterprises (SME). Focus of this study is to validate this framework by multiple case study analysis of select case companies from India who are from Information Technology- Business Process Management (IT-BPM) industry. Further, findings of this study confirms the practical application of VIDE-LEO framework metrics for SMEs in IT-BPM industry. Value proposition of this framework and its innovation metrics may further be extended to other vertical industries for more enhanced practical value.
On Insufficient Documentation of a Virtual World's Economic Development
Authors: Boric Sandra
Published: October 2021

Literature on Second Life (SL) was retrieved, reviewed, and aggregated. Although it was found to provide sufficient information about SL's social, technological, business model, and legal issues, and although SL received overall dense media coverage, the literature was found to be lacking when it came to a thorough documentation of its economic development in 2003-2008. Using the retrieved literature, the attempt to reconstruct the development of the number of avatars, active users, prices and fees, and monetary development exposes the limits of reconstructing the economic development of a virtual world years after its popularity peak. This article serves as an argument and a reminder for a proper documentation of such developments. Future documentation of virtual worlds in academia should thoroughly track the economic development of next-generation virtual worlds. Otherwise, post-analysis, economic development reconstruction, and trace backs might prove difficult, costly, or infeasible.
Challenges in the Digital Transformation Processes in Higher Education Institutions and Universities
Authors: Coral Marco A. , Bernuy Augusto E.
Published: October 2021

Higher education institutions and public universities seek to modernize their processes to provide better and greater services to students, with the COVID-19 Pandemic a new scenario is generated where the only alternative to stop the spread of the virus is the use of technology. The administrative and academic processes are the basis for generating services to the university community, therefore the need arises to change the procedures and the work culture of the institution and integrate digital technology, this supposes a process of Digital Transformation. To achieve this, existing problems in implementations involving higher-level educational institutions and universities are analyzed, the systematic review of literature in SCOPUS and Web of Science is used as a research method, the problems found in these processes and the analysis of the identified categories allow us to obtain the factors and issues that must be addressed in the Digital Transformation processes.
Grey Wolf-Based Linear Regression Model for Rainfall Prediction
Authors: Mohd Razeef , Butt Muheet Ahmed , Baba Majid Zaman
Published: October 2021

This paper develops a rainfall prediction technique, named GWO-based Linear Regression (GWLR) model, using the linear regression model and Grey Wolf Optimizer (GWO). The linear regression model is used to predict the value of a dependent variable from an independent variable on the basis of regression coefficient. The proposed GWLR predicts rainfall based on the input time-series weather data using the proposed GWLR model, in which the regression coefficients are obtained optimally using the GWO. Thus, the rainfall detection is done on the accumulated data of India and the state, Jammu and Kashmir over the years 1901 to 2015. The effectiveness of the proposed GWLR is checked with MSE and PRD values and is evaluated to be the best when compared to other existing techniques with least MSE value as 0.005 and PRD value as 1.700%.
A Study on Responsible Behavioural Practices at Tourist Attractions of Bangalore
Authors: Soonthodu Sachin , Singh Sumit Kumar , Pagaldiviti Sandilyan Ramanujam
Published: October 2021

Sustainable practices in tourist attractions aim at reducing the negative impacts of tourists’ activities to make a destination tourist-friendly. Bangalore is a world-class city which is well known for socio-cultural and environmental diversity. Bangalore, being one of the fastest-growing cities, has a greater opportunity in adopting sustainable practices for the potential existence. It is the responsible behaviour of tourists’ in a destination that may have a crucial role in attaining the sustainability of a destination. This research endeavors to identify and assess the factors of responsible behaviour of tourists’ in various attractions of Bangalore. Questionnaires were distributed to the tourists and local people using a random sampling method. Chi-square and correlation tests were conducted to understand the association between a set of variables and responsible behaviour. The outcomes of this study may establish a link between socio-economic and environmental indicators and the responsible behaviour of tourists.
Spectrophotometric Determination of Zinc in Food Waste Water Samples in the Presence of Surfactants Using Dithizone Method
Authors: Shekhar N. V. Ravi , Biswas Supriya , Sahu Anoop Kumar
Published: October 2021

The food waste water quality of sampling points of restaurant were collected within the Bilaspur city limit state Chhattisgarh India by determining some physicochemical parameter of the water samples using standard analytical techniques. The results of physicochemical parameters (pH, temperature, turbidity, conductivity, alkalinity, total dissolved solids, total suspended solids, total solids, Alkalinity and dissolved oxygen) revealed high variations in the concentrations of physicochemical parameters. Therefore, it is imperative that the water sources should be monitored regularly and be subjected to further treatments in order to reduce the concentrations of the few identified pollution indicators that may pose some dangers to the health of people living in this area. The aim of the present study is to develop a simpler direct uv- spectrophotometric method for the trace determination of lead with dithizone in the presence of inexpensive anionic micelles, such as sodium dodecyl sulphate (SDS), in aqueous solutions.
Company Characteristics and Sustainability Reporting
Authors: Giron Alicia , Kazemikhasragh Amirreza , Cicchiello Antonella Francesca , Panetti Eva
Published: October 2021

This study aims to investigate the key company characteristics which influence the adoption of sustainability reporting practices. The study uses a Logit model based on a sample of 366 large Asian and African companies which have addressed the SDGs in their sustainability reports published in 2017. The results suggest that large companies in the low- and middle-income countries which used SDGs have specific characteristics such as a higher market-to-book value (Tobin’s q) and higher adoption of external assurance for their reports. The results also show that having women and younger directors in the company’s management structure is positively related to the adoption of the SDG reporting. Contrarily from previous studies, the industry sector does not have strong influences on the use of sustainability reporting. The paper provides support to the challenges faced by the boards of directors of large Asian and African companies in ensuring their increasing engagement in sustainability initiatives while acting in the best interest of the company and its stakeholders.
A WSN-Based Insect Monitoring and Pest Control System Through Behavior Analysis Using Artificial Neural Network
Authors: Dadheech Pankaj , Kumar Ankit , Singh Vijander , Poonia Ramesh C. , Raja Linesh
Published: October 2021

Insect Monitoring includes collecting information about insect activity with the help of using traps and lures. Many different types of traps are used and they can be divided into the following types - Light traps, Sticky Traps and Pheromone Traps. After trapping the insect, the next step involves monitoring tools to monitor the further behavior of insects. Monitoring includes checking of crop fields for early detection of pests and identification of pests. Identification helps in finding which are the best naturally occurring control agents and assessing the efficiency of pest control actions that already have been taken. The main purpose of this paper is to design the insect monitoring system is to assess insect activity and gain population estimates so we can deploy a solution that will be most effective at protecting our crops. This system involves the use of traps and lures to get information on insect activity. Traps are strategically placed throughout the crop and include natural semi-chemical attractants to draw insects into the traps.
Analysis of Image Similarity Using CNN and ANNOY
Authors: Hong Jun-Ki
Published: October 2021

This article proposes an algorithm to more efficiently search for clothing product images that are similar to a new input clothing product image. Convolutional Neural Network (CNN) and Artificial Neural Network Oh Yeah (ANNOY) technologies were applied to a database of 60,000 clothing images, and the similarity and the processing rates of the two technologies were compared. The conventional CNN technology searches similar images by exploring all the pixels of an image, while the ANNOY technology uses a binary tree node, which is the similarity distance measured between images. The ANNOY technology can drastically reduce image search time, although the image similarity accuracy is slightly decreased. The reduction in image search time saves costs, and the rapid search processing rate enables the technology to be applied to various kinds of online services, including product search, product comparison and product recommendation.
The Mompreneurship Phenomenon
Authors: Dhaliwal Amandeep
Published: October 2021

Mompreneurship or the entrepreneurship by mothers, often heralded as new-age feminism is internationally gaining a lot of attention. Being in its nascent stage, this phenomenon is little understood The aim of this article was to study the research gap in the scarce current mompreneurship literature available especially in regards to antecedents and the challenges peculiar to mompreneurs. This gap was studied by reviewing the emerging literature to understand the conceptual definition of mompreneurs and the prominent antecedents and challenges peculiar to mompreneurs. The identified themes were then validated by undertaking the qualitative analysis of the case studies and the narratives of ten prominent mompreneurs using the “verstehen” technique. The qualitative approach provided the intimate knowledge of the journey, experiences, and the challenges of the leading successful mompreneurs based on which immensely practical recommendations have been offered for the budding mompreneurs which make this study very useful for the audience.
GLARE
Authors: Gandolfi Enrico , Ferdig Richard E. , Carlyn David , Kratcoski Annette , Dunfee Jason , Hassler David , Blank James , Lenart Chris , Clements Robert
Published: October 2021

Augmented reality (AR) shows the potential for positively impacting learning about cultural heritage. However, current AR tools do not allow users (e.g., teachers, educators) to easily create their own experiences and lessons; there is a significant skill-barrier for producing augmented content. In order to address this problem, the authors created GLARE (GeoLocated Augmented Reality Editor), an open source and extensible AR platform hosted on Github. Utilizing overlaid imagery on live video feed using a hotspot and walking path design. The platform is designed to allow users to create tours by simply adding a media list and associated GPS coordinates. The underlying software architecture uses basic HTML, scripting, and the ThreeJS and Google application programming interfaces. This article describes the framework and then presents a case study of the system being used to create an augmented reality tour based on the events of May 4th 1970 at Kent State University.
Socially-Responsible Marketing Communications
Authors: Mandal Pratap Chandra
Published: October 2021

Companies require generating revenues and profits to sustain in the competition and to achieve business excellence. At the same time, companies should be aware about and acknowledge the responsibilities towards their target markets and the society at large. Companies do socially responsible target marketing and marketing communications to communicate about their offerings to target markets. They adopt and communicate socially responsible advertising campaigns. Various issues in advertising campaigns include deceptive advertising and unethical practices in fashion advertising and in the cosmetics industry. Companies adopt marketing communications for social causes including socially responsible sales promotion and personal selling. Companies should respect consumer privacy and security and ensure consumer safety. Various stakeholders want to be assured that businesses care about their welfare and are working towards ensuring it. Businesses should also ensure welfare of the society at large. This will allow them to achieve business excellence and to stay ahead in the competition.
Print Media Management and Ethical Advertising Under Recession
Authors: Akpan Udo Usiere
Published: October 2021

Economic downturn has caused difficulties in media management. Media firms face sharp declines of products and service advertising. Consequently, media firms are increasingly lured accepting indecent advertising and advertorials contrary to ethical journalism practices. This study examines the frequencies and volumes, types, sectors, and decencies of advertising in two newspapers in Nigeria: The Guardian and The Vanguard. They attract higher numbers of entertainment adverts at 51%, above economy, politics, and education adverts, which had 49% in all. They could not resist the temptations of collecting monies and publishing adverts in dazzling, nude patterns of dressing to the public. They publish advertising images and contents which invade consumer privacy, offend the reading public. They integrate indecent contents that manipulate sensibilities of readers and offend entrepreneurs. They are to diversify into book publishing, book fairs and exhibitions, library consultancy, annual lectures and awards, sales of customized dairies, almanacs, and calendars to remain viable.
On Entering the Small World of Molecules and Micromorphology
Authors: Brothwell Don
Published: October 2021

The closer I get to the next and more ancient phase of my life, the more I get interested in mummification. But my experience of various kinds of mummies over the years instills in me considerable pessimism about my achieving a good state of preservation for the next world. I confess that I don’t fancy being soaked in natron and rubbed with resins or camel fat as preservative procedures – or being disembowelled for that matter. Plastination? I prefer not. Freeze drying should be the ideal for us all now, if costing is ignored – but colleagues in conservation laboratories still seem uncertain about the stability of internal organs in the freeze drying of whole bodies. Clearly there is experimental work to be done here. [...]
Ethno-anthropological study of a pre-columbian peruvian mummy, using radiological and physico-chemical analyses
Authors: Lenares Maria , Longhena Maria , Gruppioni Giorgio
Published: October 2021

Knowledge of the pre-Columbian civilizations of the Americas is based mainly on archaeological studies of the numerous residential, religious and funerary complexes discovered during excavations, on the recovered cultural materials and on documentation by Spanish observers (Von Hagen, 1993;Kauffmann Doig, 1996;Alva, 2002;Reinhard, 2002; Solis, 2004).Another valuable contribution has come from the study of numerous specimens brought back to Italy by explorers and scholars during their voyages and expeditions in the XIX century. [...]
The mysterious mummy of Cagliari
Authors: Floris Rosalba , Floris Giovanni , Nurchi Valeria M. , Argiolas Antonio , Coinu Giovanna
Published: October 2021

In the Anthropological and Ethnographical Museum of University of Cagliari are custodied two mummies, a male and a female one. Subjected to autopsy in 1895, the latter is wrapped by mystery. It is considered she could be a victim of a murder. In the light of modern techniques of inquiry, a multidisciplinary team of research tries to throw light on some main aspects:

• The woman’s age

• The reasons of death

• The causes of mummification

The achieved data are compared with those reported in the account of the autopsy, published by Gaetano Corrado in 1899.
Heart rate variability follow-up during COVID-19 -a case report-
Authors: Gutiérrez Alejandro Figar , Bonofiglio Francisco C. , Karippacheril John George , Redelico Francisco O. , Iturralde Maria de Los Angeles
Published: October 2021

Background: To detect an early increase in the inflammatory response might prove to be vital for mitigating the deleterious effects of the disease over time.Case: A 52-year-old obese man with moderate asthma and hypertension, who developed COVID-19 and had moderate symptoms, used a wearable device to record heart rate variability (HRV) during his illness. He had low parasympathetic tone, which decreased daily until it reached almost 2 standard deviations (SD) below normal values at the end of the second week. His sympathetic tone increased from > 3 SD to > 5 SD.Conclusions: These findings suggest an altered modulation of the sympathetic and parasympathetic nervous systems in COVID-19, such that the sympathetic tone is augmented and the parasympathetic tone is reduced. Population norms of COVID-19 infections should be further studied over the short-term and using 24 h HRV measurements.
The formation and repair of DNA double-strand breaks in mammalian meiosis
Authors: Qu Wei , Liu Cong , Xu Ya-Ting , Xu Yu-Min , Luo Meng-Cheng
Published: October 2021

Programmed DNA double-strand breaks (DSBs) are necessary for meiosis in mammals. A sufficient number of DSBs ensure the normal pairing/synapsis of homologous chromosomes. Abnormal DSB repair undermines meiosis, leading to sterility in mammals. The DSBs that initiate recombination are repaired as crossovers and noncrossovers, and crossovers are required for correct chromosome separation. Thus, the placement, timing, and frequency of crossover formation must be tightly controlled. Importantly, mutations in many genes related to the formation and repair of DSB result in infertility in humans. These mutations cause nonobstructive azoospermia in men, premature ovarian insufficiency and ovarian dysgenesis in women. Here, we have illustrated the formation and repair of DSB in mammals, summarized major factors influencing the formation of DSB and the theories of crossover regulation.