bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrating Blockchain Platforms With Big Data Solutions for Regional Innovation Development
Authors: Gamidullaeva Leyla Ayvarovna , Mkrttchian Vardan , Finogeev Alexey
Published: October 2021

The chapter discusses the creation of a mechanism for ensuring reliable and secure interaction among participants in regional innovation systems based on the establishment of smart contracts in the blockchain. The technology allows to reduce the possibility of fraud by dishonest participants, as well as to exclude the need for a third party by transferring its functions to a smart contract. This is important for ensuring confidential and transparent relations between participants in innovative projects, as well as with interested subjects of social and economic activities in the regions. The Ethereum blockchain platform was chosen to create smart contracts. On its basis, there were developed components to perform transactions in contracting, creating, and implementing innovations, transferring intellectual property rights, using rights and licenses for innovation, etc. The main component of the system is a distributed transaction register with digital copies of innovation objects.
Big Data and Digital Tools Applied to the Teaching
Authors: Ruiz Jésica Alhelí Cortés , García Rosa María Rivas
Published: October 2021

This chapter will focus on the characterization of big data and digital tools applied in postgraduate programs in Mexico. The new economic order demands from academic organizations more efficient ways in their production and transfer of teaching-learning in graduate programs in Mexico. In this chapter, an approach to big data technology and its influence on education explaining the main educational methods and new professional options derived from big data analytics is given. It discusses the technical, legal, and ethical aspects for the adoption and use of big data technology in educational institutions.
Using Big Data Analytics to Forecast Trade Volumes in Global Supply Chain Management
Authors: Ozemre Murat , Kabadurmus Ozgur
Published: October 2021

As the supply chains become more global, the operations (such as procurement, production, warehousing, sales, and forecasting) must be managed with consideration of the global factors. International trade is one of these factors affecting the global supply chain operations. Estimating the future trade volumes of certain products for specific markets can help companies to adjust their own global supply chain operations and strategies. However, in today's competitive and complex global supply chain environments, making accurate forecasts has become significantly difficult. In this chapter, the authors present a novel big data analytics methodology to accurately forecast international trade volumes between countries for specific products. The methodology uses various open data sources and employs random forest and artificial neural networks. To demonstrate the effectiveness of their proposed methodology, the authors present a case study of forecasting the export volume of refrigerators and freezers from Turkey to United Kingdom. The results showed that the proposed methodology provides effective forecasts.
The Use of Big Data in Marketing Analytics
Authors: Goi Chai-Lee
Published: October 2021

Big data has broken through the public imagination, has revolutionised the process through which business find innovative ways, and has transformed the data into valuable information that will shape business intelligence and gain business insights to make better decisions. The purpose of this study is to review the development of big data, architecture, and the use of big data in marketing analytics. From the analysis of literature reviews, a big data in marketing analytics model has been proposed. In using big data in marketing, marketers need balanced analytics and then identify opportunities for improvement based on reporting or analysing past and present big data to predict and influence the future.
Use of Big Data Analytics by Tax Authorities
Authors: Walker-Munro Brendan
Published: October 2021

This chapter provides a thematic analysis for the Australian context of the legality and challenges to the use of big data analytics to identify risk, conduct compliance action, and make decisions within the tax administration space. Recent federal court jurisprudence and research is discussed to identify common themes (i.e., privacy/opacity, inaccuracy/bias, and fairness/due process) currently influencing the legal treatment of big data analytics within the tax administration and compliance environment in Australia.
Exploring Factors Influencing Big Data and Analytics Adoption in Healthcare Management
Authors: Edu Sampson Abeeku , Agozie Divine Q.
Published: October 2021

Demand for improvement in healthcare management in the areas of quality, cost, and patient care has been on the upsurge because of technology. Incessant application and new technological development to manage healthcare data significantly led to leveraging on the use of big data and analytics (BDA). The application of the capabilities from BDA has provided healthcare institutions with the ability to make critical and timely decisions for patients and data management. Adopting BDA by healthcare institutions hinges on some factors necessitating its application. This study aims to identify and review what influences healthcare institutions towards the use of business intelligence and analytics. With the use of a systematic review of 25 articles, the study identified nine dominant factors driving healthcare institutions to BDA adoption. Factors such as patient management, quality decision making, disease management, data management, and promoting healthcare efficiencies were among the highly ranked factors influencing BDA adoption.
Big Data Classification and Internet of Things in Healthcare
Authors: Rghioui Amine , Lloret Jaime , Oumnad Abedlmajid
Published: October 2021

Every single day, a massive amount of data is generated by different medical data sources. Processing this wealth of data is indeed a daunting task, and it forces us to adopt smart and scalable computational strategies, including machine intelligence, big data analytics, and data classification. The authors can use the Big Data analysis for effective decision making in healthcare domain using the existing machine learning algorithms with some modification to it. The fundamental purpose of this article is to summarize the role of Big Data analysis in healthcare, and to provide a comprehensive analysis of the various techniques involved in mining big data. This article provides an overview of Big Data, applicability of it in healthcare, some of the work in progress and a future works. Therefore, in this article, the use of machine learning techniques is proposed for real-time diabetic patient data analysis from IoT devices and gateways.
Human-Computer Interaction With Big Data Analytics
Authors: Manogaran Gunasekaran , Thota Chandu , Lopez Daphne
Published: October 2021

Big Data has been playing a vital role in almost all environments such as healthcare, education, business organizations and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume of data. Big data consists of huge unstructured data that require advance real-time analysis. Thus, nowadays many of the researchers are interested in developing advance technologies and algorithms to solve the issues when dealing with big data. Big Data has gained much attention from many private organizations, public sector and research institutes. This chapter provides an overview of the state-of-the-art algorithms for processing big data, as well as the characteristics, applications, opportunities and challenges of big data systems. This chapter also presents the challenges and issues in human computer interaction with big data analytics.
Managerial Controversies in Artificial Intelligence and Big Data Analytics
Authors: Strang Kenneth David , Sun Zhaohao
Published: October 2021

This chapter discusses several fundamental and managerial controversies associated with artificial intelligence and big data analytics which will be of interest to quantitative professionals and practitioners in the fields of computing, e-commerce, e-business services, and e-government. The authors utilized the systems thinking technique within an action research framework. They used this approach because their ideology was pragmatic, the problem at hand, was complex and institutional (healthcare discipline), and they needed to understand the problems from both a practitioner and a nonhuman technology process viewpoint. They used the literature review along with practitioner interviews collected at a big data conference. Although they found many problems, they considered these to be already encompassed into the big data five V's (volume, velocity, variety, value, veracity). Interestingly, they uncovered three new insights about the hidden healthcare artificial intelligence and big data analytics risks; then they proposed solutions for each of these problems.
A Survey on Comparison of Performance Analysis on a Cloud-Based Big Data Framework
Authors: Tuli Krishan , Kaur Amanpreet , Sharma Meenakshi
Published: October 2021

Cloud computing is offering various IT services to many users in the work on the basis of pay-as-you-use model. As the data is increasing day by day, there is a huge requirement for cloud applications that manage such a huge amount of data. Basically, a best solution for analyzing such amounts of data and handles a large dataset. Various companies are providing such framesets for particular applications. A cloud framework is the accruement of different components which is similar to the development tools, various middleware for particular applications and various other database management services that are needed for cloud computing deployment, development and managing the various applications of the cloud. This results in an effective model for scaling such a huge amount of data in dynamically allocated recourses along with solving their complex problems. This article is about the survey on the performance of the big data framework based on a cloud from various endeavors which assists ventures to pick a suitable framework for their work and get a desired outcome.
Financing Digital Innovation for Sustainable Development
Authors: Piaggesi Danilo , Landazuri Helena
Published: October 2021

SDG 17 pursues capacity building through access to data, information and knowledge to support decision-making and oversight. Such guidelines embrace the economic viability and sustainability attributes that innovation must have to be called such, in the field of promoting digital innovation. Those guidelines provide a clear path to streamline efforts in this area by directing support to three crucial areas: (1) developing a market for digital innovation products and services; (2) supporting initiatives to bring about new and more efficient business models and processes; and (3) providing focused support to the generation of innovative products and services. To achieve these ends, it is proposed to establish adequate mechanisms to provide technical and financial support in each one of those areas, utilizing partners and collaboration mechanisms.
Modeling the Sustainable Development Nexus as a Complex-Coupled System
Authors: Zelinka David , Daher Bassel
Published: October 2021

This chapter begins with defining complex systems, presents an overview of the applied science of dynamical systems by focusing on the main components of complexity and chaos, and introduces the concept of dimensionality of systems. Systems have structural and temporal (dynamic) components – they exist in space and time. This chapter focuses on the time dimension, called temporality. The authors classify a third dimension, chaos (randomness), and illustrate that all systems can be defined according to their structure, dynamics, and chaos. These three dimensions constitute the dimensionality of systems, which can be used to define and categorize all types of systems. A system dynamics model to quantify the progress and interactions among the United Nation's Sustainable Development Goals (SDG) is introduced. The benefits and limitations of a system dynamics modeling approach in this context are then discussed.
Perinatal and Early Childhood Development
Authors: Kivuti-Bitok Lucy , Cheptum Joyce Jebet
Published: October 2021

This chapter looks at the systems approach in addressing the dilemma of investing in neonatal health in resource constraints environment. Is investing in neonatal care the key to attaining sustainable development goals? Is it just or even just to invest in Neonatal care in the midst of competing interests? It applies causal loop diagrams as part of systems dynamics approach in seeking to identify the intended and intended consequences of investing in Neonatal Health. A look into countries have done well in Neonatal health and their investment early childhood education is done in order to give insight into the relationship between the investments.
Child Swaddling or Back Wrapping During Street Trading
Authors: Amoo Emmanuel O. , Ajayi Mofoluwake P. , Olanrewaju Faith O. , Olawande Tomike , Olawole-Isaac Adebanke
Published: October 2021

The study is premised on social responsibility and social epidemiological theories and examined the exposure of back-wrapped babies to health risk during street trading. Data were collected using structured face-to-face interviews and snowballing techniques among 228 Street trading women (with children aged ≤ 11 months), in one local government area of Ogun State, Nigeria. Data analyses involved univariate and multivariate methods. The results show that 58.3% of women interviewed wrapped their babies at their back while trading on the streets, ≥80% were not aware of any campaign against baby back-wrapping, 35% viewed baby back-wrapping as medicinal for the baby, and as traditional practice (59.2%). The multivariate analysis revealed that children wrapped while trading on the street are at higher risk of exposure to illness than those not back wrapped (OR=1.778, p=0.042). The authors suggested media campaign against back-wrapping baby while trading on the street to reduce exposure to diseases, mortalities and possibly achievement of sustainable development goal (SDG-3).
Cross-Border Cooperation for Bilateral Trade, Travel, and Tourism
Authors: Medhekar Anita , Haq Farooq
Published: October 2021

Cross-Border Cooperation (CBC) is described as collaboration with neighbouring countries sharing land or sea borders to cooperate to reduce poverty and inequality among people, and improve living standards for sustainable development of the regions. European Union key objective has been CBC model where bordering countries in balanced partnership, have equal say in program decision-making process for sustainable development to meet common goals. The three factors essential for CBC clearly defined goals, promotion of political transparency, and promotion of connectivity and communication are correlated with the four levels of CBC implementation and public-private-partnerships. This chapter examines the challenge and significance of cross border cooperative relationship between India and Pakistan to disarm and have peace, for achieving 17 sustainable development goals in bordering conflict regions between the two countries for socio-economic progress and prosperity of the millions of people living in South Asia.
CSR in Education
Authors: Pastou Pamela
Published: October 2021

The chapter will focus on corporate social responsibility in the education industry, specifically focusing on universities and how they can and are becoming more sustainable in accordance to the environment and the way the University of Birmingham is implementing Goal 12 of the UN's Sustainable Development Goals that will be mentioned in further detail. The fast-paced times of today means that there is constant evolution to create new opportunities and to improve our surroundings, so corporate social responsibility can help identify the needs for specific areas in which to thrive in this space.
A General Approach for Financial Quantification of Climate Change Risk for Enterprises
Authors: Kanak Mahesh Gangaram , Purushottam Sunita
Published: October 2021

Climate change is a major risk for the global economy. Increased frequency of climatic events coupled with unsustainable economic development without considering environmental & social aspects has resulted in runaway climatic impacts. It became evident for all stakeholders to work in unison; which led to formation of Task force on climate-related financial disclosures (TCFD). Financial quantification of climate risk is a new area to be explored & could be an effective measure to tackle climate change. This chapter provides a general approach for financial quantification of climate change risk for businesses to understand & prioritize climate action. Though the approach is limited to the manufacturing sector, it can be used with some modifications for other sectors. It will help find impacts that climate change could pose to supply chain using various tools & evaluation of its usefulness. As 'Climate Action' is part of Sustainable Development Goals; it will be useful to understand how integrating TCFD could help enterprises tackle climate change by localizing SDG-13 into their businesses.
Inland Saline Wetlandscapes
Authors: Sharma Laxmikant , Naik Rajashree , Raj Alok
Published: October 2021

Wetland ecosystems are one of the highly productive ecosystems in the world. These ecosystems have been deteriorating at a faster rate. Ramsar Convention is putting enormous effort to protect, maintain, and restore these ecosystems. Currently, the fourth phase of Strategic Plans of Ramsar Convention is going on, in which saline wetlandscapes can play vital role to attain 19 targets of this plan. In India there are 27 Ramsar sites in all the biogeographic zones; however, research work has been carried out in the past five years in only eight Ramsar sites. Currently, four years are available for the strategic plans to encourage more wetland researches. The chapter presents a case study of Sambhar Salt Lake, a Ramsar site of India that is on the verge of extinction. Normalized Difference Water Index has been calculated for three decades in 1992, 2009, and 2019, revealing the declining phases of the lake.
Data-Driven Government
Authors: Sangkachan Thalinee , Powintara Nuttakrit
Published: October 2021

Open government data (OGD) has become a trend in recent years. Previous research on OGD has investigated two main areas—supply and demand. However, little is known about how OGD supply is linked to OGD demand. This study is an early attempt to determine the mechanisms that explain how OGD transforms and impacts supply and demand. It also aims to determine the essential pre-conditions driving OGD development. Secondary data from 115 countries were analyzed using partial least squares-structural equation modeling (PLS-SEM). The results showed that OGD as a strategic asset does not directly impact a country’s development; instead, OGD requires government capability (GC) to unleash its values. GC fully mediates the relationship between OGD and its impacts. In order to achieve OGD, information and communications technology infrastructure (ICTI) should be well designed and developed and there should be a high level of data security (DS).
E-Barangay
Authors: Bringula Rex Perez , Vale Mark Anthony D. , Napolis Jenard A. , Oliva Franklin Pillos , De La Serna Daniel Joseph T.
Published: October 2021

Despite the importance of community-level e-governance, prior e-government frameworks focused at the municipal or national levels. The implementation of appropriate community-based e-governance cannot be ascertained because of the absence of a community-level e-government framework. To address this gap, this mixed-method study devised a framework for community-based online services software called the e-barangay framework. A web-based system was developed based on this framework. The usability of the system was also evaluated. Thematic analysis on the transcript of interviews with three local officials showed that filing complaints, requesting documents, sending suggestions, and posting announcements were the core elements of the e-barangay framework. Both the objective and subjective measures of usability showed favorable results. Spearman Rank correlation confirmed that the design-related factors were related to the frequency of use of the e-barangay. It is concluded that the software satisfied the needs of the stakeholders. Theoretical and practical implications are discussed.
E-Government Service Quality
Authors: El-Gamal Sarah , El Aziz Rasha Abd , Abouelseoud Mohamed Farouk
Published: October 2021

This study investigates the key e-government service quality dimensions affecting customer satisfaction in e-government services. The 'consistency' mediation role between customer satisfaction and e-service quality is explored besides the moderation role of 'awareness' between customer satisfaction and e-service quality. A quantitative approach is adopted, where a semi-structured web-based questionnaire is developed and sent to 800 users of e-government services. A total of 350 responses were considered valid records. Data collected is analyzed using the structural equation modeling, where SPSS and AMOS are employed. Significant results revealed that awareness is not proven to moderate the relationship between E-Service Quality dimensions and Customer Satisfaction. Finally, Consistency partially mediates the relationship between E-Service Quality dimensions and Customer Satisfaction.
Assessing the Effectiveness of E-Government Services in Ghana
Authors: Owusu Acheampong , Akpe-Doe Cynthia Esinu , Taana Ivy Hawah
Published: October 2021

The adoption and implantation of electronic government service are on the rise as government services to citizens through electronic means has increased. However, assessing the effectiveness of e-government systems is still limited in the literature. This study sort to evaluate the effectiveness and benefits of information systems (E-registrar) at the Registrar General Department (RGD) in Ghana, using the updated DeLone and McLean IS Success Model. Via the purposive sampling technique, data for the study were collected from 102 staff of RGD and analyzed following the Partial Least Squares Structural Equation Modelling (PLS-SEM) technique. The results of the study indicate that Service Quality, System Quality, and Information Quality positively influence System Usage and User Satisfaction. Also, System Usage and User Satisfaction positively influence the Net Benefits derived from the E-Registrar system. The findings provide a relevant recommendation to policymakers and management of organizations when it comes to information systems implementation.
Biomarker Identification From Gene Expression Based on Symmetrical Uncertainty
Authors: Asad Emon , Mollah Ayatullah Faruk
Published: October 2021

In this paper, the authors present an effective information theoretic feature selection method, symmetrical uncertainty, to classify gene expression microarray data and detect biomarkers from it. Here, information gain and symmetrical uncertainty contribute for ranking the features. Based on computed values of symmetrical uncertainty, features were sorted from most informative to least informative ones. Then, the top features from the sorted list are passed to random forest, logistic regression, and other well-known classifiers with leave-one-out cross validation to construct the best classification model(s) and accordingly select the most important genes from microarray datasets. Obtained results in terms of classification accuracy, running time, root mean square error, and other parameters computed on leukemia and colon cancer datasets demonstrate the effectiveness of the proposed approach. The proposed method is relatively much faster than many other wrapper or ensemble methods.
Evaluation of Data Imbalance Algorithms on the Prediction of Credit Card Fraud
Authors: Otoo Godlove , Appati Justice Kwame , Yaokumah Winfred , Soli Michael Agbo Tettey , Nwolley Stephane Jnr , Ludu Julius Yaw
Published: October 2021

Credit card fraud has been on the rise for some years now after the introduction of card payment systems. To curb this menace, computational methods have been proposed. Unfortunately, the data available for such a study is highly skewed resulting in the data imbalance problem. In this study, the authors investigate the performance of some selected data imbalance algorithms employed in the prediction of credit card fraud. A dataset from Kaggle containing 284,315 genuine transactions and 492 fraudulent transactions was used for the evaluation. The machine learning algorithms deployed for the study is logistic regression, naïve bayes, and the k-nearest neighbour algorithm with F1 score and precision-recall area under the curve (PR AUC) as the metric. Numerical assessment of the performance of the adopted algorithm gave a rate of 82.5% and 81%, respectively, using neighbourhood cleaning rule for undersampling.
Using Logical Architecture Models for Inter-Team Management of Distributed Agile Teams
Authors: Santos Nuno António , Pereira Jaime , Ferreira Nuno , Machado Ricardo J.
Published: October 2021

Projects at large-scale have been adopting agile practices in order to optimize how a group of teams deliver software, however has facing issues when dealing with work items that are dependent on each other, need for well-defined interfaces and shared understanding of the existing knowledge. Systems thinking and modeling can have important contributions in managing a process with this nature. This article proposes a design framework, called logical architecture-based distributed agile team management (LADATM), that uses logical architecture models to serve as the basis for the delivery of work items to distributed agile teams, support the identification of boundaries, dependencies and coordination needs, and derive an agile team product backlog. By performing Design Science Research (DSR) cycles, this article introduces the constructs of the LADATM framework. Afterwards, it demonstrates - using a research project - how it provided a systematized approach for process mananagement decision support for agile teams based in requirements models and through shared understanding.
Performance Measurement of a Rule-Based Ontology Framework (ROF) for Auto-Generation of Requirements Specification
Authors: Yanuarifiani Amarilis Putri , Chua Fang-Fang , Chan Gaik-Yee
Published: October 2021

Documenting requirements specification requires a lot of effort from stakeholders and developers. Time and knowledge limitations are also obstacles in creating structured requirements document. Our previous works proposed a framework for automated generation of requirements specifications called Rule-Based Ontology Framework (ROF).The requirements documentation phase produces two outputs: process modeling according to the Business Process Model and Notation (BPMN) standard and Software Requirements Specification (SRS) documents following the ISO/IEC/IEEE 29148:2018 standard. In this paper, we do performance measurement of ROF in the IS project case study which includes validating ROF prototype by performing User Acceptance Test (UAT); measuring effectiveness by calculating notation error and requirements error; and measuring efficiency by calculating the time spent in producing documents. The efficiency and effectiveness of both are measured by comparing BPMN graph and SRS document generated by ROF with BPMN graph and SRS document that are created manually by the stakeholders.
2D-QSAR Modeling of Quinazolinone Derivatives as Angiotensin II Type 1a Receptor Blockers
Authors: Shah Sapan K. , Chaple Dinesh R.
Published: October 2021

Angiotensin receptor blockers (ARBs) are a group of drugs primarily used in the treatment of cardiovascular disease. Multiple quantitative structural activity relationship (QSAR) models established for prediction of angiotensin II type 1a (AT-1a) receptor blocking activity of quinazolinone derivatives to investigate the structural attributes that have significant correlation with biological activity. The genetic algorithm (GA) approach was used to generate a highly predictive models using easily interpretable Py, OEstate and Padel descriptors. OECD principles have been followed to develop statistically robust QSAR models (R2tr = 0.8055 – 0.8625) with good external predictivity (CCCex = 0.7528-0.8450). The multiple QSAR models successfully identified that increase in surface area of negatively charge carbon atom within four bonds from N atom, presence of tetrazole substituents and sp3 N atoms governs the AT-1a receptor blocking activity. The validated QSAR models of present study might be helpful for evaluation AT-1a receptor blocking activity to identify novel hits.
Tourism and Sustainability in Natural Parks
Authors: Silva Ana-Isabel Santos , Alves Maria-Ceu Gaspar , Estevão Cristina
Published: October 2021

Tourism growth has led to a number of environmental damages, with the degradation of the natural heritage, and tourist taxes have become popular to address these environmental problems. This study aims to ascertain if tourists are aware of sustainable tourism issues and willing to pay more for sustainable destinations. To answer this purpose, an empirical study was developed in the Serra da Estrela Natural Park, given its touristic relevance and its contribution to the regional development. The data were obtained through a questionnaire survey. The findings show that tourists are predisposed to pay more for sustainable tourism. These results can help government to define the fiscal policy of the tourism sector in Portugal. They even contribute to the scarce literature that exists on the analysis of tourists’ concerns about sustainability and taxation questions.
Social Innovation for Social Value Creation at Bottom of Pyramid
Authors: Dixit Shailja , Moid Sana
Published: October 2021

This paper presents a descriptive analysis of how social value creation and business models are interconnected in the context of Bottom of Pyramid. Globally there are various cases of real business set up for people in the BOP in emerging economies for understanding the role of innovative strategies for social value creation. Social entrepreneurs through their social enterprises using disruptive innovation & catalytic innovation have played critical role in inclusive development by first catering to the masses and then to the classes. Literature on social value creation and BOP was extensively reviewed and dimensions of innovation and social value creation was identified resulting in bringing benefits to people at BOP. The present paper seeks to make a contribution to this literature by enriching our understanding of how BOP business models and social value creation through social innovations by social entrepreneurs are actually related.
Role of Demineralized Water in Sustainable Human Health
Authors: Karnena Manoj Kumar , Saritha Vara
Published: October 2021

Natural resources like water are finite and we are only the current custodians of resources which we hold in reserve for future generations. The fact is that man cannot survive even for a few days without water illustrates that we must have several litres of water every day just to maintain essential chemical balances in tissue and blood to control body temperature and to allow the elimination of toxic wastes from metabolism. Human blood is 95 per cent water, bones are 22 per cent water and the human brain is 75 per cent water. Drinking water should contain minimum levels of certain essential minerals. The present study focused on analysing mineral content in bottled and RO treated water and compared the results with reference to the dietary daily and standards laid by various statutory bodies and study revealed that the mineral content of the tested water samples does not provide daily dietary intake and thus consumers should select water for consumption wisely since this data has a great general public health significance.
Augmenting the Potential of Ambient Energy With Special Reference to Solar Energy for Bringing a Paradigm Shift in the Indian Economy
Authors: Srivastava Abhishek , Mallick Saurajit
Published: October 2021

Ambient energy is the sources of energy that is renewable, free of cost, and available in abundance. Our search for the potential raw material for conventional energy production like coal and oil have a limited availability. We will be forced to look for alternative sources sooner or later. Our future generation depends on the fact that how fast we can find alternative sources for energy production. Fortunately, we have initiated the search for a more than two decades now. World economic leaders and India is looking for alternative ambient energy sources through solar, wind, and hydraulic etc. processes. India has made a substantial progress in this aspect in short period of time. The Government’s futuristic approach and assistance from various domestic and foreign non-governmental organisation has helped paving a road for the future. This research paper tries to identify the progress, adaptation, and role of creating a sustainable macro-economic inclusive growth in Indian Economy with the help of solar energy harvesting.
Developing an Integrated Sustainability Management Approach for Higher Education Institutions
Authors: Umar Tariq
Published: October 2021

The Higher Education Institutions' (HEIs) around the world have to pay the main role in achieving the UN Sustainable Development Goals for that HEIs need to be sustainable first. This article aims to describe a sustainability framework and suggest the process to use the proposed framework. A qualitative research method consists of a systematic review, semi-structured interviews and email interviews was adopted to achieve the aims and objectives of this research. The data was collected from 39 papers extracted from four main databases. This was further subjected to semi-structured interviews held with a total of 11 sustainability experts. A framework for sustainability in HEIs consisting of three main components related to the environment, Social responsibility and teaching and research is finally developed and validated through email interviews held with 19 heads of different HEIs around the world. Each of the main sustainability components is divided into sub-factors. Longitudinal studies are recommended to evaluate the impact of the proposed framework on HEIs sustainability.
Detection of Air Pollution and Its Adverse Effects on Human Health
Authors: Rastogi Rohit , Rastogi Akshit Rajan , Sharma Divya , Rastogi Mukund , Garg Priyanshi , Srivastava Prajwal
Published: October 2021

The magnitude of Air contamination in advanced countries is depreciating drastically as observed in ongoing analysis as compared to previous decade. Notwithstanding, in developing nations and countries pursuing industrialization and automation, the moderate significant levels of air contamination still serves as a threat, in spite of that the levels have been gradually decreasing or have remained static during fast monetary improvement. Recently, hundreds of examinations in accordance with spread and management of disease have risen demonstrating unpleasant healthy consequences concern with present moment and prolong exposure to the toxins present in the air. Periodic research and studies held in Asian and developed areas moreover indicated comparative healthy outcome on impermanence of humanity related with association to particulate matter (PM), sulfur dioxide (SO2), ozone (O3), nitrogen dioxide (NO2) to those examined in Europe and North America.The Present work is an effort to critically analyze the air pollution by machine learning and its adverse effects on Human Health.
Deflection Modelling of MEMS Cantilever Beam Through Collocation Method Taking B-Splinesas Approximating Functions
Authors: Mishra Manish Kumar , Mishra P. M. , Dubey Vikas
Published: October 2021

The Mathematical Modeling and Analysis of cantilever beam adhesion problem, under the action of electrostatic attraction force iscarried out. The model uses Euler-Bernoulli beam theory for one end fixed and other end free type beams for small deflection. A MATLAB code has prepared to predict and plot the deflection profile of MEMS cantilever beam during the action of stiction force on application of applied voltage as snap down occurs. The model predicts the cantilever behavior on occurrence of snap downvoltage. To envisage the deflection profile, A collocation method employing B-Spline as approximating functions & Gaussian quadrature point as collocation points has been utilized for solving the governing equation by keeping the four end boundary conditions of cantilever beam in mind. The numerical results reveal the deflection profile of the MEMS cantilever Beam, which are validated with the previous data & deflection profile available by numerous published research papers
Radio Frequency Energy Harvesting Through Rectenna Using IE3D
Authors: Sahu Abhishek , Ali Zakir , Singh Vinod Kumar Kumar , Kushwaha Manju , Goswami Monika
Published: October 2021

In this paper, the design of rectenna has been studied for efficient wireless power transmission. The thought of wireless power transmission has been approximately from the time when the origin of electrical energy. The simulations of the proposed rectenna were carried out using IE3D software. The design of antenna consists of a ground plane with dimensions 39.23×49.29 mm and microstrip patch with dimension 20.5×6 mm. The antenna covers the frequency range from 2.0 to 6.01GHz. The bandwidth of presented antenna is of 99.5% which resonate at 2.31 GHz. The energy harvested at 2.31 GHz and storage system with wireless power transfer using rectenna.
Perception and Importance of Urban Home Gardeners to Improve Sustainable Food Production
Authors: Ramanujam Elangovan , Mayilmurugan A. , Sundareswaran R.
Published: October 2021

Home gardening has been practiced over centuries in rural areas for their food and financial security. This practice has also engendered the urban people to supply toxic-free organic vegetables and fruits, to control pollution, etc. However, urban gardeners are facing a lot of economical, infrastructure, and physical challenges in their practice. Even though there are more web and mobile remedies available in the form of video or audio demonstration, they are completely designed in their own local languages, and not applicable to all plants and trees, etc. To provide a solution, this study analyses 165 urban gardeners of Madurai city, Tamil Nadu an Indian state on their importance, ecological and environmental benefits, challenges faced in home gardening practice. As an outcome of the analysis, this study recommends the web and mobile developers “what the home gardeners are really expected from the mobile/ web applications?” to improve their sustainable food production.
Municipal Solid Waste Generation, Composition, and Resident Awareness of Recycling in Oman
Authors: Umar Tariq
Published: October 2021

Currently, the entire daily MSW generated in Oman which is roughly equal to more than 5,000 tons is disposed at more than 300 dumpsites which create a number of sustainability issues. This article attempts to know the composition of MSW in Oman. The article also aimed to know the public awareness on the segregation of MSW and their willingness to participate in waste recycling to develop recommendations to improve the MSW management. A mixed research method was adopted to achieve the aims and objectives. A total of 749 samples of MSW were collected and analyzed. The residents’ awareness of the waste segregation and their willingness to participate in the recycling activates was established through interviews. 69.45% of the waste is classified as organic, 15% as inorganic, and 16% as recyclable. The results show that 70% of the participants know how to segregates MSW. 90% of the respondents confirmed that they are willing to cooperate in the segregation of MSW. The finding of this research could be helpful to develop strategies to reduce and recycle the MSW in Oman.
Epidemiological analysis of tomb complexes from the necropolis of Thebes-West
Authors: Ege Markus J. , Nerlich Andreas G. , Zink Albert R.
Published: October 2021

In the necropolis of Thebes-West, Upper Egypt, individuals from various time periods are buried, comprising the Middle Kingdom, the New Kingdom and the Late Period. Previously the bodies had been examined paleopathologically and data of more than 800 individuals had been entered into a data base. We analyzed the data in respect to age distribution, sex, social status and several symptoms that are indicators for distinct disease entities.

We identified statistically significant associations of social status with the prevalence of caries. Degenerative diseases and traumas are significantly more frequent in later time periods, whereas severe infectious diseases occur nearby only in the Middle Kingdom. The odds ratio of signs of anaemia for children versus adults was about 3.1 (95% confidence interval 2.2- 4.3), independently of social status and epoch. No differences among time periods, social status and age distribution were found for the occurrence of scurvy and osteopenia. Despite the obstacles of missing data, selection bias through selective burial practices and information bias by contamination of later burials, our results give an insight on disease distribution in ancient Egypt by population based data.
The Egyptian collection of Museu Nacional,Rio de Janeiro, Brazil, and the conservation of mummies in a tropical environment
Authors: Brancaglion Jr Antonio , Andrade Lima Tania , Mendonça de Souza Sheila M.F.
Published: October 2021

A beautiful and representative Egyptian collection -the most ancient and perhaps the most important in South America- is at the Museu Nacional, in Rio de Janeiro. Most of this collection was brought in the 19th century to the Royal Museum by the first Brazilian emperor, D. Pedro I. Many of the objects represent different periods of ancient Egyptian history, including mummified bodies of humans and animals. It is likely that most of these materials are from Thebes as confirmed by recent studies. Some of the mummies are rare (for instance Roman woman #158, and one sarcophagus that is still closed). A research program with special analysis, non invasive investigations using X-rays and CT scanning, and other studies are being made. Correct age and sex of the embalmed bodies, signs of disease, and details of mummification techniques will be presented here, along with a general description of the collection and its present museum exhibition.
Rescue archeology of the inca mummy on mount quehuar, argentina
Authors: Reinhard Johan , Ceruti Constanza
Published: October 2021

Over five hundred years ago the Incas carried out dramatic ceremonies on mountain summits, many of which were over 6,000 meters high. The most important offerings made at these sites involved human sacrifices. On Mount Quehuar in northwestern Argentina, an Inca sacrificial victim was found on the summit, but the frozen remains had been severely damaged by dynamite used by looters. In this study we present the results of the rescue archaeology undertaken at the site. The structures excavated and the mummy and artifacts recovered are described.
Histological investigation of a bone core biopsy of the Tyrolean Iceman
Authors: Nerlich Andreas G. , Egarter-Vigl Eduard , Bachmeier Beatrice E. , Zink Albert
Published: October 2021

We report here on the morphological findings obtained in a small trephination core biopsy from the iliac crest of the Tyrolean Iceman (“Ötzi”). The approx. 1 cm long biopsy showed excellently conserved spongy bone and was divided prior to analysis into two parts for subsequent histological analysis following either careful decalcification or embedding into epoxy resin. Both techniques showed a typical network of bone trabeculas with empty osteocytic lacunae. Surprisingly, focally the residues of a delicate network of bone marrow connective tissue fibers were seen suggesting excellent conservation, although there were no residues of the cellular compartment of the marrow. There was no evidence for fibrosis. Resin embedded sections showed bone trabeculas with occasional small superficial hypomineralization bands such as seen in mild osteomalacia. The center of trabeculas, however, appeared regularly mineralized. There was no evidence for bone apposition, enhanced osteoclasia or structurally immature bone matrix. In conclusion, we detected signs of a very mild hypomineralization of few bone trabeculas. Since the conservation of the sample was so excellently well that even tiny marrow fibers were evident, we reject the assumption of postmortal artefactual demineralization and suggest mild osteomalazia in the individual during lifetime. This would be consistent with previous reports indicating Ötzi to have suffered from intestinal parasitosis which is a frequent cause of (mild) osteomalacia. In addition, we have no evidence that the Iceman suffered from other generalized metabolic diseases affecting bone.
Usefulness of Pulmonary Rehabilitation in Non-Small Cell Lung Cancer Patients Based on Pulmonary Function Tests and Muscle Analysis Using Computed Tomography Images
Authors: Choi Juwhan , Yang Zepa , Lee Jinhwan , Lee Jun Hee , Kim Hyun Koo , Yong Hwan Seok , Lee Sung Yong
Published: October 2021

Purpose The usefulness of rehabilitation in patients with reduced lung function before lung surgery remains unclear, and there is no adequate method for evaluating the effect of rehabilitation. We aimed to evaluate the usefulness of rehabilitation in patients with non-small cell lung cancer (NSCLC) undergoing lung cancer surgery.Materials and Methods We retrospectively analyzed the medical records of NSCLC patients at Korea University Guro Hospital between 2018 and 2020. Patients were divided into two groups depending on whether they underwent rehabilitation. Pulmonary function test (PFT) data and muscle determined using chest computed tomography (CT) images were analyzed. Because the baseline characteristics were different between the two groups, propensity score matching was performed.Results Of 325 patients, 75 (23.1%) and 250 (76.9%) were included in the rehabilitation and non-rehabilitation (control) groups, respectively. The rehabilitation group had a worse general condition at baseline. After propensity score matching, 45 patients remained in each group. Pulmonary function (forced expiratory volume in 1 second, %) (p=0.001) and the Hounsfield unit of erector spinae muscle (p=0.001) were better preserved in the rehabilitation group. Muscle loss of 3.4% and 0.6% was observed in the control and rehabilitation groups, respectively (p=0.003). In addition, the incidence of embolic events was lower in the rehabilitation group (p=0.044).Conclusion Pulmonary rehabilitation is useful in patients with NSCLC undergoing lung surgery. Pulmonary rehabilitation preserves lung function, muscle and reduces embolic events after surgery. Pulmonary rehabilitation is recommended for patients with NSCLC undergoing surgery.