bluuebunny/crossref_metadata_2025 huggingface dataset:
Understanding a Revolutionary and Flawed Grand Experiment in Blockchain
Authors: Mehar Muhammad Izhar , Shier Charles Louis , Giambattista Alana , Gong Elgar , Fletcher Gabrielle , Sanayhie Ryan , Kim Henry M. , Laskowski Marek
Published: December 2020

In spring 2016, the Distributed Autonomous Organization (The DAO) was created on Ethereum. As with Bitcoin, Ethereum uses a P2P network, where distributed ledgers are implemented as daisy-chained blocks of data. Ethereum's native cryptocurrency, Ethers are spent to execute pieces of code called smart contracts. Investors paid their Ethers for the DAO to operate and received the opportunity to vote on and become investors in venture projects proposed by Ethereum-based startups. Transactions and settlements between investors and startups are executed autonomously. The DAO experiment failed shortly after inception as an anonymous hacker stole over $50M USD worth of Ethers out of the $168M invested. The Ethereum community voted to return (or fork) the state of the network to one prior to the hack, returning Ethers back to investors and shuttering the DAO. However, this action arguably represented as a bailout—ironically, Bitcoin was conceived as a reaction against the 2008 bailout of US banks—and violated the ledger immutability and “code is law” ethos of the blockchain community.
Secure Digital Voting System Based on Blockchain Technology
Authors: Khan Kashif Mehboob , Arshad Junaid , Khan Muhammad Mubashir
Published: December 2020

Electronic voting or e-voting has been used in varying forms since 1970s with fundamental benefits over paper-based systems such as increased efficiency and reduced errors. However, challenges remain to the achieving of wide spread adoption of such systems, especially with respect to improving their resilience against potential faults. Blockchain is a disruptive technology of the current era and promises to improve the overall resilience of e-voting systems. This article presents an effort to leverage benefits of blockchain such as cryptographic foundations and transparency to achieve an effective scheme for e-voting. The proposed scheme conforms to the fundamental requirements for e-voting schemes and achieves end-to-end verifiability. The article presents details of the proposed e-voting scheme along with its implementation using Multichain platform. The article also presents an in-depth evaluation of the scheme which successfully demonstrates its effectiveness to achieve an end-to-end verifiable e-voting scheme.
Transforming Public Procurement Contracts Into Smart Contracts
Authors: Debono Pauline
Published: December 2020

The terms governing the provision of supplies, services, or works by an economic operator to a governmental entity are set into a public contract that is signed, following a procurement process. This article explores whether the public administration can utilise smart contracts to incorporate the terms governing the provision of supplies, services, or works. The fundamental elements of a contract are assessed, in order to determine whether a smart contract can be considered as fulfilling these requirements. Following this assessment, the main hurdles to the use of smart contracting are examined and a possible solution proposed. The case for utilising smart contracting within the realm of public procurement is finally advocated.
Enhancing Security and Trust in Named Data Networking using Hierarchical Identity Based Cryptography
Authors: Hamdane Balkis , Boussada Rihab , Elhdhili Mohamed Elhoucine , El Fatmi Sihem Guemara
Published: December 2020

Named data networking (NDN) represents a promising clean slate for future internet architecture. It adopts the information-centric networking (ICN) approach that treats named data as the central element, leverages in-network caching, and uses a data-centric security model. This model is built mainly in the addition of a signature to each of the recovered data. However, the signature verification requires the appropriate public key. To trust this key, multiple models were proposed. In this article, the authors analyze security and trust in NDN, to deduct the limits of the already proposed solutions. They propose a security extension that strengthens security and builds trust in used keys. The main idea of this extension is the derivation of these keys from data name, by using hierarchical identity-based cryptography (HIBC). To confirm the safety of the new proposal, a formal security analysis is provided. To evaluate its efficiency, a performance evaluation is performed. It proves that by adopting the proposed extension, performance is comparable, even better in some cases than plain NDN.
Simulating Light-Weight-Cryptography Implementation for IoT Healthcare Data Security Applications
Authors: Alassaf Norah , Gutub Adnan
Published: December 2020

Short period monitoring and emergency notification of healthcare signals is becoming affordable with existence of internet of things (IoT) support. However, IoT does not prevent challenges that may hinder the appropriate safe spread of medical solutions. Confidentiality of data is vital, making a real fear requesting cryptography. The limitations in memory, computations processing, power consumptions, and small-size devices contradict the robust encryption process asking for help of low-weight-cryptography to handle practically. This article presents a comparative analysis of performance evaluation of three trusted candidate encryption algorithms, namely AES, SPECK and SIMON, which are simulated and compared in details to distinguish who has the best behaviour to be nominated for a medical application. These encryption algorithms are implemented and evaluated in regard to the execution time, power consumption, memory occupation and speed. The implementation is carried out using the Cooja simulator running on Contiki operating system showing interesting attractive results.
Perspective and Challenges of Blockchain Technology in the Accountability of Financial Information
Authors: Tarifa-Fernández Jorge , Casado-Belmonte María Pilar , Martínez-Romero María J.
Published: December 2020

The accounting information system could be improved by blockchain technology, but some potential risk could arise. Thus, it is worth considering such risks. The accounting research and academic literature regarding the impact of this technology on the accounting system are in an initial stage of this emergent field. The purpose of this chapter is to go a step further on this topic and to spur additional research regarding accounting and blockchain technology. The contribution of this study is twofold. On the one hand, it shows the main technologies comprising blockchain and their main consequences understood as sources of improvement. On the other hand, it assesses said effects applied to different processes of the accounting information system. Not only does this work show implications for the accounting profession, but the effects on the primary stakeholders are also brought to light.
Addressing the Feasibility, Suitability, and Sustainability of the Blockchain
Authors: Redien-Collot Renaud
Published: December 2020

This chapter applies stakeholder theory in order to evaluate whether a blockchain community is demonstrating a communicational maturity in order to achieve its technical, social, and political agenda. The consistence of the mission of an organization or a community is clearly reflected in the eyes of its stakeholders. Therefore, the study adopts a qualitative lens in conducting 11 semi-structured interviews with experts that are prominent international stakeholders of the blockchain in order to gain a deeper understanding of their internalized perception about this technology and its social network. According to the results, the blockchain community members are ready to address the feasibility of their technology and its implications. They also address some aspects of the social suitability of their network. However, they do not fix clear conditions of communication and coordination to discuss the sustainability of the whole organization.
Optimizing Health, Education and Governance Delivery Through Blockchain
Authors: Benna Indo Isa
Published: December 2020

Blockchain technology and cryptocurrencies are generating profound transformations in most sectors of the society, including healthcare, education and governance sectors that are uplifting communities out of despair in regions around the world. In these sectors, they are remaking financing and usher in an era of how institutions are structured, functioning and their relationships with their publics. This chapter identifies transformative research papers, White Papers, reports on these themes, and then analyzes their contexts, relevance and contributions to the transformations underway in the selected sectors. Using modified Cornell Notes template, for the healthcare, education and governance sectors data is collected, analyzed and categorized into four approaches to technology adoption: transformation, Substitution, Localization and Single Use. The chapter is organized in four main parts: the introductory, background, focus of the study, and the conclusion part.
FinTech and Its Disruption to Financial Institutions
Authors: Liu Chen
Published: December 2020

This chapter studies how FinTech is transforming traditional financial institutions (FIs). This chapter achieves the four related goals. First, it discusses the current stage of FinTech development in different areas such as crowdfunding, payment, blockchain, and cryptocurrency. Second, it examines how each FinTech development affects traditional FIs, in both positive and negative ways. Third, it explores how FIs are currently managing FinTech innovations. It also suggests ways through which these institutions could best utilize FinTech to better serve their customers and eventually optimize the overall financial system. Finally, following the book's focus on man's role at the center of technology advancement, this chapter discusses whether FIs' customers' needs are still placed at the center of FIs' incentives to adapt new technology, and if not, how can we focus back to the people that the financial system ultimately serves.
“Truth,” Lies, and Deception in Ponzi and Pyramid Schemes
Authors: Chiluwa Isioma Maureen
Published: December 2020

The popularity of alternative online investment platforms has become worrisome in recent times. Adopting explorative methodology, this chapter examines the discursive practices of truth, lies and deception inherent in Ponzi and Pyramid schemes through their method of operation, recruitment strategies, products/services and reward system via Bitconnect, OneCoin, and Zarfund – three online-based Ponzi schemes. The study reveals that the greatest deception of Ponzi schemes lies in the high returns they promise to potential investors and the low work requirement. These claims make it difficult for potential investors to make rational decisions before investing. This study recommends that proper evaluation and due diligence – basic financial literacy – be conducted before investing in any AFIP. Alternatively, expert advice may be sort before any financial commitment.
Emerging Markets
Authors: Thomason Jane , Bernhardt Sonja , Kansara Tia , Cooper Nichola
Published: December 2020

While most of the development and implementation of Blockchains has taken place in Western countries, arguably its greatest potential resides in emerging markets: Argentina, Brazil, Chile, China, Colombia, Czech Republic, Egypt, Greece, Hungary, India, Indonesia, Korea, Malaysia, Mexico, Morocco, Qatar, Peru, Philippines, Poland, Russia, South Africa, South Korea, Taiwan, Thailand, Turkey, and United Arab Emirates – all countries that are evolving and disrupting traditional methods of production like agriculture and the export of raw materials to invest in modern manners of productive capacity. This chapter examines the sectors in which Blockchain is being used to innovate in emerging markets to enable financial inclusion, improved asset and supply chain management, education, and healthcare.
Feature Selection Techniques in High Dimensional Data With Machine Learning and Deep Learning
Authors: Chander Bhanu
Published: December 2020

High-dimensional data inspection is one of the major disputes for researchers plus engineers in domains of deep learning (DL), machine learning (ML), as well as data mining. Feature selection (FS) endows with proficient manner to determine these difficulties through eradicating unrelated and outdated data, which be capable of reducing calculation time, progress learns precision, and smooth the progress of an enhanced understanding of the learning representation or information. To eradicate an inappropriate feature, an FS standard was essential, which can determine the significance of every feature in the company of the output class/labels. Filter schemes employ variable status procedure as the standard criterion for variable collection by means of ordering. Ranking schemes utilized since their straightforwardness and high-quality accomplishment are detailed for handy appliances. The goal of this chapter is to produce complete information on FS approaches, its applications, and future research directions.
Applications of Feature Engineering Techniques for Text Data
Authors: Mishra Shashwati , Panda Mrutyunjaya
Published: December 2020

Feature plays a very important role in the analysis and prediction of data as it carries the most valuable information about the data. This data may be in a structured format or in an unstructured format. Feature engineering process is used to extract features from these data. Selection of features is one of the crucial steps in the feature engineering process. This feature selection process can adopt four different approaches. On that basis, it can be classified into four basic categories, namely filter method, wrapper method, embedded method, and hybrid method. This chapter discusses about different techniques coming under these four categories along with the research work on feature selection.
Performance Evaluation of Machine Learning Techniques for Customer Churn Prediction in Telecommunication Sector
Authors: Majhi Babita , Rajput Sachin Singh , Majhi Ritanjali
Published: December 2020

The principle objective of this chapter is to build up a churn prediction model which helps telecom administrators to foresee clients who are no doubt liable to agitate. Many studies affirmed that AI innovation is profoundly effective to anticipate this circumstance as it is applied through training from past information. The prediction procedure is involved three primary stages: normalization of the data, then feature selection based on information gain, and finally, classification utilizing different AI methods, for example, back propagation neural network (BPNNM), naïve Bayesian, k-nearest neighborhood (KNN), support vector machine (SVM), discriminant analysis (DA), decision tree (DT), and extreme learning machine (ELM). It is shown from simulation study that out of these seven methods SVM with polynomial based kernel is coming about 91.33% of precision where ELM is at the primary situation with 92.10% of exactness and MLANN-based CCP model is at third rank with 90.4% of accuracy. Similar observation is noted for 10-fold cross validation also.
Machine Automation Making Cyber-Policy Violator More Resilient
Authors: Panigrahi Gyana Ranjana , Barpanda Nalini Kanta , Panda Madhumita
Published: December 2020

Cybersecurity is of global importance. Nearly all association suffer from an active cyber-attack. However, there is a lack of making cyber policy violator more resilient for analysts in proportionately analyzing security incidents. Now the question: Is there any proper technique of implementations for assisting automated decision to the analyst using a comparison study feature selection method? The authors take multi-criteria decision-making methods for comparison. Here the authors use CICDDoS2019 datasets consisting of Windows benign and the most vanguard for shared bouts. Hill-climbing algorithm may be incorporated to select best features. The time-based pragmatic data can be extracted from the mainsheet for classification as distributed cyber-policy violator or legitimate benign using decision tree (DT) with analytical hierarchy process (AHP) (DT-AHP), support vector machine (SVM) with technique for order of preference by similarity to ideal solution (SVM-TOPSIS) and mixed model of k-nearest neighbor (KNN AHP-TOPSIS) algorithms.
A Novel Framework of Health Monitoring Systems
Authors: Gupta Sonam , Goel Lipika , Agarwal Abhay Kumar
Published: December 2020

IoT plays an important role in the healthcare domain for improving the quality of patient care. To analyze the patients' healthcare data, a real-time health-monitoring system is required. The proposed framework in this work is cable of such monitoring and sending alerts on critical circumstances. In this framework, the use of IoT devices makes it possible. This is very helpful in taking care of especially old wards and children in the absence or their caretakers. The function of alerting the caretakers and to inform hospital in critical condition makes this system one of its kind. Readings of patient pulse rates are taken from the pulse rate sensor and the body temperature is measured by MAX30205, a temperature sensor. The data is collected through sensors and sent over the cloud servers. Linear regression is used for further analysis and prediction of pulse and temperature trend lines. Corresponding health repots will be sent to the nearby hospitals and registered mobile numbers. The framework is validated with real-time patient data, and prediction is made regarding the trends.
Bayesian Kernel Methods
Authors: Saxena Arti , Kumar Vijay
Published: December 2020

In the healthcare industry, sources look after different customers with diverse diseases and complications. Thus, at the source, a great amount of data in all aspects like status of the patients, behaviour of the diseases, etc. are collected, and now it becomes the job of the practitioner at source to use the available data for diagnosing the diseases accurately and then prescribe the relevant treatment. Machine learning techniques are useful to deal with large datasets, with an aim to produce meaningful information from the raw information for the purpose of decision making. The inharmonious behavior of the data is the motivation behind the development of new tools and demonstrates the available information to some meaningful information for decision making. As per the literature, healthcare of patients can be analyzed through machine learning tools, and henceforth, in the article, a Bayesian kernel method for medical decision-making problems has been discussed, which suits the purpose of researchers in the enhancement of their research in the domain of medical decision making.
An Examination of the Challenges the National Police Service (NPS) Face in Counter Terrorism (CT) Within Nairobi City County, Kenya
Authors: Vundi Silvia K. , Chepsoi Alex C. , Matanga Frank K.
Published: December 2020

Terrorism become a central and controversial issue of global attention. In Kenya, the capacity of the National Police Service (NPS) in counter terrorism (CT) significantly increased from August 1998 when Al-Qaida bombed the United States of America embassy in Nairobi. In spite of this, terrorist attacks have continued in the country. The objective of the study was therefore to establish the challenges the NPS face in CT. The study employed a descriptive survey research design. The study site was Nairobi County, Kenya. Both the probability and non-probability strategies were employed in the study. Data were collected from a sample of 311 respondents using semi-structured questionnaires and interview guides. Data analysis used both qualitative and quantitative techniques. The study established that NPS faced a myriad of challenges that hindered her effectiveness in CT. The study recommends that the NPS should increase the capacity of her officers by addressing the skills, resources, and expertise gaps to improve their effectiveness CT.
Flood Disaster Preparedness and Response in Zimbabwe
Authors: Sibanda Nobuhle , Matsa Mark
Published: December 2020

Effective disaster risk reduction entails enhancing disaster preparedness for effective response and to “Build Back Better” in recovery, rehabilitation, and reconstruction. This paper sought to analyse Tsholotsho district's preparedness for flood disaster and recovery. A local government self-assessment tool with key questions and measurements against the 10 essentials for making cities resilient was used to solicit information from every stakeholder of the district civil protection. The district has a risk management plan but not a contingency one. Though the district's hazard monitoring system lags behind, the early warning system, propelled by telecommunications, leadership, and NGOs, is quite effective. This paper recommends that climate change scenarios be considered and included in the district's contingency plan and that a disaster risk policy should be formed which recognises disaster preparedness as an issue of governance and performance. The CPU should make disaster preparedness a culture and a conscious practice and encourage communities to practise disaster preparedness.
Examining Teachers' Use of Learning Information Systems (LIS) of the Basic Education Schools in the Philippines Using Structural Equation Modeling
Authors: Matias Junrie , Timosan Jesterlyn Quibol
Published: December 2020

The Learner Information System is an online service that the Department of Education in the Philippines used to manage learner's information and improve the collaboration of all personnel in the organization. However, there is a need to examine the user's actual use, attitude, and behavior towards the system and to understand the factors affecting its successful implementation to improve the system capabilities and cater teacher and learner increasing needs. Using the extended technology acceptance model (TAM), this work analyzed 127 datasets gathered from 45 public and private schools in the Philippines using structural equation modelling in partial least squares. The result shows that system quality and facilitating conditions are significant predictors of teachers' attitudes towards the system. Generally, all original constructs of TAM were found to be significant implying a positive acceptance of the Learner Information System. These results provide further evidence in understanding the user acceptance of ICT-based teaching-learning systems in the Philippines.
Why Are Hardware Description Languages Important for Hardware Design Courses?
Authors: Obeidat Raghad , Alzoubi Hussein
Published: December 2020

Curricula in computer engineering, computer science, and other related fields include several courses about hardware design. Examples of these courses are digital logic design, computer architecture, microprocessors, computer interfacing, hardware design, embedded systems, switching theorem, and others. In order for the students to realize the concepts taught in such courses, practical track should be reinforced along with the theoretical track. Many universities offer to their students labs in which they can practice hardware design. However, students need more than that: they need tools that enable them to design, model, simulate, synthesize, and implement hardware designs. Although high-level programming languages like Java and C++ could be an option, it might be a tedious task to use them for this mission. Fortunately, hardware-description languages (HDLs) have been specifically devised for this purpose. This paper shows some of the great features of HDLs and compare using them with using C++ for illustrating digital concepts through salient examples.
A Review of Faculty Self-Assessment TPACK Instruments (January 2006 – March 2020)
Authors: Scott Kristin C.
Published: December 2020

Since Mishra and Koehler released their framework of technological pedagogical content knowledge (TPACK), researchers have been attempting to measure it with a variety of self-assessment instruments. Early TPACK instruments struggled with construct validity. More recently, several instruments have been tested for validity and reliability successfully. Since 2006, 233 articles have been published that use a TPACK self-assessment survey of faculty in either a mixed method or empirical study. When faced with this abundance of literature, researchers may be overwhelmed when attempting to find a survey instrument suitable for their own studies. This review is designed to help researchers find valid and reliable instruments for their study by describing frequently used scales, an analysis of respondents from the identified studies, and reliability and validity studies associated with published instruments. A link to the entire data set Technological Pedagogical Content Knowledge (TPACK) Self-Assessment Survey Dataset (2006 – March 2020) is also provided.
Citizen Adoption of Mobile and Customizable E-Government Services
Authors: Abdelhakim Djeddi , Idoughi Djilali
Published: December 2020

E-government projects success mainly depends on citizens' acceptance and usage; thus, numerous studies have strived to recognize the various factors that affect the adoption of e-government services in different countries. The study broadly reviews various models presented for assessing citizen adoption of e-government. The article highlights factors that affect e-government adoption in different developed and developing countries then proposes a suitable theoretical model for examining citizen adoption of e-government in developing countries. The developed research model included factors from the technology acceptance model, technology acceptance model 2, theory of reasoned action, unified theory of acceptance, and use of technology and diffusion of innovation as well as trust in the government and technology regarding e-government applications in Algeria a developing country. Data was collected using a Likert-scale questionnaire from 884 Algerian citizens.
A Framework to Identify Influences of Environmental Legislation on Corporate Green Intellectual Capital, Innovation, and Environmental Performance
Authors: Trevlopoulos Nikolaos S. , Tsalis Thomas A. , Nikolaou Ioannis E.
Published: December 2020

The aim of this paper is to examine the Porter hypothesis which defines that environmental regulations, under certain circumstances, could have positive effects on corporate environmental and economic performance. The majority of previous studies are based on questionnaire-based surveys, on normative models and on relative information at country level. To overcome some of the weaknesses of previous works, a benchmarking-scoring framework is suggested to draw useful and valuable information from corporate sustainability reports so as to examine the relationships between four dimensions of corporate performance, namely compliance with environmental legislation, green intellectual capital (GIC), environmental innovations, and corporate environmental performance. The proposed framework was applied in a sample of firms which operate in the metal products industry. The findings show that GIC could be a significant mediating factor between environmental legislation and environmental performance of firms. Additionally, it seems that GIC influences innovations and environmental performance.
Photorealistic 3D Models and Interactive Learning Content for a Machine Elements E-Course
Authors: Pistofidis Petros , Botsaris Pantelis N. , Giotsalitis Zacharias
Published: December 2020

Production and industrial engineering are domains that increasingly require a sophisticated and multidisciplinary set of skills. As modern educational mechanisms shift towards more advanced patterns of remote and asynchronous training, learning objects have emerged as an ideal application field for monitoring and evaluating the consumption of better composed and enriched content. This article discusses the ability of photorealistic 3D models and interactive 3D objects to support such competencies development and empower engineering perception. Introduced as a complementary dimension of video training, the research invests in photorealism and interactivity to allow the trainee experience with greater control and more detail the functional behavior of machine elements. Structured as exercise material for a lab of mechanical design, photorealistic 3D models were produced and embedded in an e-learning platform for engineering students to evaluate. Their feedback was captured through an extensive questionnaire, allowing for a deeper understanding of the approach's efficiency and results.
An Evaluation of the Effectiveness of Labor Market Integration Policies in EU Member States Using PROMETHEE
Authors: Blouchoutzi Anastasia , Digkolou Panagiota , Papathanasiou Jason , Nikas Christos
Published: December 2020

From an economic point of view, the rational response towards migration is the labor market integration of immigrants. Within the above framework, several actions have been developed by the European Union member states over the last few years, in an effort to integrate migrants to local communities. This paper evaluates the performance of the European Member States as regards to their labor market integration policies using the Zaragoza indicators for employment. Combining those indicators, the data will be processed with the well-known multi-criteria analysis method PROMETHEE. The model will be constituted by the selected years from 2008 to 2017 as 10 successive scenarios, the 28 EU countries as alternatives, and eight criteria. The paper will end up with ten final rankings of the countries, which will be analyzed in detail.
Opening Pandora's Box
Authors: Veiga Pedro , Figueiredo Ronnie , Teixeira Sergio , Fernandes Cristina Isabel I.
Published: December 2020

Global strategy research is rapidly increasing in quantity but is found in divergent literature and disciplines. Now is the time to offer a comprehensive review that identifies, synthesizes, and integrates previous research and highlights knowledge gaps and the way forward. This methodical literature search helped to identify 338 articles in the Web of Science database published until 2018. Using a systematic and in-depth content analysis using bibliometric techniques, the authors reviewed the articles and identified the main theories used and the methodological guidelines in these articles. This review helps to identify significant knowledge gaps in terms of theoretical orientation and core content. The main contributions of this paper are to outline and summarize a multilevel analysis of emerging global strategy literature, integrate and extract potential theoretical contributions in this field, and indicate directions for future research.
Viscous Dissipation Effect on Heat Transfer Through Nano Fluid in a Vertical Wavy Channel with Travelling Thermal Wave
Authors: Ramana Paladugu Venkata , Srinivas Gosukonda , Srikanth G.V.P.N
Published: December 2020

The effect of viscous dissipation on heat transfer through nano-fluid in a vertical wavy channel filled with porous media has been studied. The consequential differential equations are simplified by the R-K method of 6th order. The numerical obtained results are shown in the graphs. The significant results of fluid flow and heat transfer rate and its properties are shown graphically. Nusslet values are calculated a for varying the governing parameters φ Da, Gr, ε, Ec and the remaining parameters are to be constants.
Computational Fluid Dynamics (CFD) for Modelling Multiphase Flow in Hilly-Terrain Pipelines
Authors: Olabode Oluwasanmi , Egeonu Gerald , Afolabi Richard , Onuh Charles , Okonji Chude
Published: December 2020

The design and operation of subsea pipelines over the life-cycle of an asset is vital for continuous oil and gas production. Qualitative design and effective production operation of pipelines depend on fluid type(s) involved in the flow; and in the case of multiphase flow, the need to understand the behaviour of the fluids becomes more imperative. This work presented in this report is borne out of the need for more accurate ways of predicting multiphase flow parameters in subsea pipelines with hilly-terrain profiles by better understanding their flow behaviors. To this end, Computational Fluid Dynamics has been used as against existing experimental and mechanistic methods which have inherent shortcomings. The results showed that multiphase flow parameters including flow-regimes, liquid hold-up and pressure drop in hilly-terrain pipelines can be modelled without associated errors in existing techniques. Similarity in trend was found when results of pressure gradient in downward-incline pipe were compared with results from existing correlations and mechanistic method. CFD can be used as a design tool and also a research tool into the understanding of the complexities of multiphase flow in hilly-terrain pipelines towards qualitative design and effective operation of hilly-terrain pipelines.
Influence of Radiation and Chemical Reaction on MHD Casson Nanofluid on a Stretching Sheet
Authors: Seethamahalakshmi V. , Murthy Ch. V. Ramana , Reddy Gurrampati Venkata Ramana
Published: December 2020

The influence of Casson nanofluid's participating parameters over a stretched sheet is explored numerically. The fluid momentum equations are transformed to ODEs with suitable dimensional less parameters. Runge-Kutta method of fourth order method is applied. The impact on fields of velocity, temperature and concentration of magnetic, Casson porosity, radiation, Prandtl, Brownian and thermophoresis parameters and chemical reaction parameters are graphically illustrated and discussed qualitatively.
Analytic hierarchy process (AHP) applied to flood susceptibility in São José dos Campos, São Paulo, Brazil
Authors: Silva Lucas Guimarães da , Catelani Celso De Souza , Targa Marcelo Dos Santos
Published: December 2020

The changes in environmental factors in a hydrographic basin, mainly in the urban environment, enable different scenarios than the change of parameters in climatic, physical, political, and socioeconomic factors. Those changes may have immediate effects on indigenous populations, often making them vulnerable to the risk of flooding. This article evaluates the vulnerability to flooding in the municipality of São José dos Campos, State of São Paulo, Brazil using multicriteria analysis and geoprocessing techniques. Quantum GIS (QGIS) was used in the manipulation and processing of vector and matrix data related to the terrain slope, hydrography, geotechnics, and data history of flooding (2009 - 2018) in São José dos Campos. The hierarchy and criteria weighting processes were carried out, as well as the zoning of areas at risk of flooding. Thus, it was found that 23.81% and 2.17% of the municipal territory has high and very high susceptibility to flooding. It can be concluded that the combined use of multicriteria analysis and geoprocessing is an effective contribution to assist the management of public policies in order to obtain more assertive decisions in the prevention or reduction of flood risks.
An estimate for the composition of rough singular integral operators
Authors: Tao Xiangxing , Hu Guoen
Published: December 2020

Let$\Omega $be homogeneous of degree zero and have mean value zero on the unit sphere${S}^{d-1}$,$T_{\Omega }$be the convolution singular integral operator with kernel$\frac {\Omega (x)}{|x|^d}$. In this paper, we prove that if$\Omega \in L\log L(S^{d-1})$, andUis an operator which is bounded on$L^2(\mathbb {R}^d)$and satisfies the weak type endpoint estimate of$L(\log L)^{\beta }$type, then the composition operator$UT_{\Omega }$satisfies a weak type endpoint estimate of$L(\log L)^{\beta +1}$type.
ITIS Phrase Lists (International Traveler Information Systems)™ ASN File
Authors:   V2X Core Technical Committee
Published: December 2020

You may also be interested in:

ITIS Phrase
Lists (International Traveler Information Systems)™ the J2540/2
PDF

ITIS
Phrase Lists (International Traveler Information Systems)™ Set
includes the J2540/2 ASN file and the J2540/2 PDF (ZIP format) -
download purchase only.
SELAYANG PANDANG PERKEMBANGAN AGAMA-AGAMA DUNIA DAN SEJARAH PENYEBARANNYA DI NUSANTARA (OVERVIEW OF THE DEVELOPMENT OF WORLD RELIGIONS AND THE HISTORY OF THEIR SPREAD IN THE NUSANTARAOVERVIEW OF THE DEVELOPMENT OF WORLD RELIGIONS AND THE HISTORY )
Authors: Prihantoro Yogi , Hestiningrum Peni Nurdiana
Published: December 2020

Whether the entry of world religions into Indonesia is driven more by puritanical economic, political, or missiological (da'wah) motives, has colored the uniqueness of each, and has influenced the thickness or thinness of tolerance levels towards the presence of "the other." How to read economic, political or missiological relations in these relations which are not as simple as imagined. So the article has the aim of understanding how the development of world religions and the history of their development in the archipelago at a glance. The method used is evaluative literature study, where each discussion of religions ends with an evaluation of their development.

 

Masuknya agama-agama dunia ke Indonesia pakah itu lebih didorong motif ekonomis, politik, atau motif misiologis (da’wah) yang lebih puritan, telah mewarnai kekhasan masing-masing, dan mempengaruhi tebal atau tipis tingkat toleransi terhadap kehadiran “yang lain” (the others). Bagaimana membaca relasi ekonomi, politis atau misiologis dalam relasi ini yang ternyata tidak sesederhana seperti dibayangkan. Maka artikel memiliki tujuan memahami bagaimana perkembangan agama-agama dunia dan sejarah perkembangannya di Nusantara secara selayang pandang. Metode yang digunakan adalah studi literatur evalutif, dimana setiap pembahasan agama-agama diakhiri dengan evaluasi dari perkembangannya.
On Quasi-Conformal Flat Para-Sasakian Manifolds
Authors: ÜNAL İnan , SARI Ramazan
Published: December 2020

In this paper, we present some new results on invariant submanifolds of a para-Sasakian manifold under the quasi-conformally flatness condition. Firstly, we examine flatness of quasi-conformal curvature tensor on para-Sasakian manifolds. We prove that a quasi-conformally flat para-Sasakian manifold is an $ \eta $-Einstein manifold. Also, we give some results on the sectional curvature of such manifolds. Secondly, we consider the invariant submanifolds of a quasi-conformally flat para-Sasakian manifold. We prove that a totally umbilical submanifold of a para-Sasakian manifold is invariant. In addition, we investigate curvature properties of such submanifolds and we show that a totally umbilical invariant submanifold of a quasi-conformally flat para-Sasakian manifold is an $ \eta $-Einstein manifold. Finally, we work on the sectional curvature properties of an invariant submanifold of a quasi-conformally flat para-Sasakian manifold.
EFFICACY OF KSHARASOOTRA LIGATION IN ARSHACHIKITSA W.S.R. TO THIRD DEGREE HAEMORRHOIDS
Authors: Verma Shweta
Published: December 2020

Enumeration of the vast number of aetiological factors (including dietetic ingredients, habits of prolonged sitting during defaecation etc.) and the systematic description of pathogenesis are indicative of scientific knowledge of the disease haemorrhoid. Its incidence has increased due to Mithyaahara- Vihara (faulty food habits and improper sedentary lifestyle). In third degree haemorrhoid pile masses prolapses during defaecation and need to be replaced manually. Ksharasootra ligation is mentioned in treatment of Arshachikitsa. In present study efficacy of Ksharasootra ligation in Arshachikitsa w.s.r. to third degree haemorrhoids Ksharasootra has been prepared using the methodology based on the description in the Ayurvedic text of 17th centaury Rasakamadhenu with some necessary modifications.

Ksharasootra Ligation was done in randomly selected 15 patients of either sex with third degree haemorrhoids. The study design was open, randomized, and prospective. The duration of the trial was of 15 days, with a follow-up of 4 weeks. The total effect of therapy was assessed based on Clinical & Postoperative criteria. Statistical analysis has determined significance of the treatment. For all values significance level was p<0.05. In proctorrhagia percentage relief was 81% and results were highly significant while in prolapse percentage relief was 95%. Ksharasootra ligation had statistically highly significant and better results after treatment (p<0.001). Percentage relief in discharge per anum was 66.6% (p<0.05) and percentage relief in heaviness in the anorectal region was 80.63% with highly significant results in both complaints. According to the total effect of therapy 93.3% patients were cured while 6.6% patients were markedly improved after Ksharasootra ligation. Prolapse & Proctorrhagia (Chief clinical complaints of haemorrhoids) were almost completely cured after Ksharsootra ligation. Ksharasootra ligation results in higher degree of patient satisfaction in third-degree haemorrhoid patients. It can be concluded that Ksharasootra ligation gives almost complete relief from the symptoms of haemorrhoid.
A CLASSICAL AYURVEDA REVIEW ON HARIDRA
Authors: Swagata Chakraborty  , Aparajita Das
Published: December 2020

Curcuma longa Linn. is one of the important medicinal plants of the family Zingiberaceae. Being one among the constituent of Chandraprabha vati, Mahatikta ghrita, Haridra khand, Dashamulaarista etc, Haridra is very widely used in Ayurveda for the treatment of various disorders through its Rasapanchak. The name Haridra signifies its colour. In the Ayurvedic Formulary of India, Haridra is being used in various formulations. It is used as major ingredient in many formulations. It is highly valued from time immemorial because of its vast medicinal properties, traditional usage and cosmetic value. It is extensively used as Anti-inflammatory, antibacterial, antidiabetic, anthelminthic, hepatoprotective, hypolipidemic, antihistaminic, antifungal agent. Information from Ayurvedic texts shows its wide use in the diseases like Prameha, Krimi, Aruchi, Apachi, Pandu, Visa etc. The present article provides all necessary information regarding its classical references to have an overall view of Haridra in Ayurveda.
Mixoma Atrial Esquerdo Gigante e Obstrução da Valva Mitral: Relato de Caso
Authors:   Instituto do Coração (InCor), Faculdade de Medicina da Universidade de São Paulo. São Paulo, SP, Brasil, F. Cardoso Lucas , T. Veronese Elinthon ,   Instituto do Coração (InCor), Faculdade de Medicina da Universidade de São Paulo. São Paulo, SP, Brasil, de Almeida Brandão Carlos Manuel ,   Instituto do Coração (InCor), Faculdade de Medicina da Universidade de São Paulo. São Paulo, SP, Brasil, Pomerantzef Pablo Maria Alberto ,   Instituto do Coração (InCor), Faculdade de Medicina da Universidade de São Paulo. São Paulo, SP, Brasil, Rochitte Carlos E. ,   Instituto do Coração (InCor), Faculdade de Medicina da Universidade de São Paulo. São Paulo, SP, Brasil, B. Jatene Fabio ,   Instituto do Coração (InCor), Faculdade de Medicina da Universidade de São Paulo. São Paulo, SP, Brasil
Published: December 2020

Os mixomas são entidades raras e representam a maioria dos tumores cardíacos benignos em adultos. Sua apresentação clínica pode variar de acordo com suas dimensões e sua localização, como também podem ocorrer em indivíduos assintomáticos, sendo um achado incidental de massa cardíaca ao exame de imagem. Nós apresentamos o caso de uma paciente do sexo feminino sem comorbidades conhecidas, admitida no setor de emergência com quadro de insuficiência cardíaca aguda e achado ao ecocardiograma transtorácico de grande massa cardíaca no interior do átrio esquerdo, correspondendo a um mixoma gigante, causando obstrução da via de entrada do ventrículo esquerdo, com necessidade de abordagem cirúrgica de urgência.
Valor da Ressonância Magnética Cardíaca no Diagnóstico e no Prognóstico de Pacientes com Infarto Agudo do Miocárdio sem Doença Arterial Coronariana Obstrutiva (MINOCA)
Authors:   Faculdade Saúde e Ecologia Humana, Vespasiano, MG, Brasil, Lins de Barros Márcio Vinícius ,   Rede Mater Dei de Saúde,Belo Horizonte, MG, Brasil, Ornelas Carlos Eduardo ,   Rede Mater Dei de Saúde,Belo Horizonte, MG, Brasil, Albernaz Siqueira Maria Helena ,   Rede Mater Dei de Saúde,Belo Horizonte, MG, Brasil, Coppo Militão Rochelle ,   Rede Mater Dei de Saúde,Belo Horizonte, MG, Brasil, de Almeida Melo Júnior Marcus ,   Faculdade Saúde e Ecologia Humana, Vespasiano, MG, Brasil, Ferreira Costa Sérgio Marcos ,   Faculdade Saúde e Ecologia Humana, Vespasiano, MG, Brasil, Azevedo Rabello Welber ,   Faculdade Saúde e Ecologia Humana, Vespasiano, MG, Brasil, Patrus Mundim Pena Henrique ,   Rede Mater Dei de Saúde,Belo Horizonte, MG, Brasil
Published: December 2020

Fundamento: O infarto do miocárdio é uma das principais causas de morbimortalidade no mundo, e 13,2% dos pacientes com síndrome coronariana aguda apresentam coronárias sem obstrução significativa, denominada MINOCA (do inglês Myocardial Infarction with Non-Obstructive Coronary Artery, Infarto do Miocárdio sem Doença Coronariana Obstrutiva). Apesar do MINOCA ter evolução mais favorável que o infarto do miocárdio por obstrução coronariana, seu prognóstico não é benigno. A ressonância magnética cardíaca é o exame que apresenta importância no diagnóstico das diversas causas de MINOCA, e seu valor prognóstico não está completamente elucidado. Objetivo: Avaliar o valor prognóstico da ressonância magnética cardíaca na detecção de eventos adversos maiores em pacientes com MINOCA. Métodos: Coorte prospectiva por meio de coleta de dados de pacientes admitidos na urgência de pacientes com hospital terciário, diagnosticados com MINOCA, no período de 2012 a 2019. Resultados: Foram avaliados 179 pacientes com seguimento médio de 45 ± 21 meses, sendo 52% do sexo masculino, com idade média de 57,3 ± 15,5 anos. Observou-se incidência de eventos adversos maiores de 17,9%. A taxa de mortalidade ao final do acompanhamento foi de 3,8%. Na análise multivariada, apenas a ressonância magnética cardíaca com resultado normal se mostrou como preditor independente de bom prognóstico (hazard ratio: 0,09; intervalo de confiança de 95% 0,01- 0,88; p = 0,04), com curva de Kaplan-Meier apresentando diferença significativa (log-rank x2 = 9,83; p = 0,02) na predição de eventos adversos maiores. Conclusão: A ressonância magnética cardíaca normal mostrou-se como variável independente de bom prognóstico nessa população, podendo ser útil na estratificação de risco de pacientes com MINOCA
Guardare l'indicibile: Il tema dell'androginia tra Tiresia e Dioniso
Authors: Burgio Giuseppe
Published: December 2020

O foco deste artigo é o tema da androginia, tematizado através das referências internas que se desenvolvem através das várias personagens das Bacantes de Eurípedes. Adotando uma abordagem de pesquisa queer, analiso o complexo mito de Tirésias (a personagem que abre a tragédia de Eurípides, com o primeiro episódio dialogado) com base na análise de Brisson, explicitando suas ligações simbólicas com a androginia. Através de uma série de referências cruzadas, a cegueira e o transexualismo de Tirésias emergem em meu argumento como estruturalmente equivalentes. Esta equivalência simbólica permitirá em seguida reler as correspondências entre a história mitológica de Tirésias e a de outros três personagens do drama: Acteon, Penteu e Dioniso. Estes três primos pertencentes à família real de Tebas também violam as normas de gênero. Desse modo, se extrai toda uma série de constantes simbólicas ligadas ao tema da visão, das serpentes, do travestimento, da interdição sexual, que são coerentes com o tema da androginia que – depois do Simpósio Platônico - encontra nas Bacantes um enlace textual importantíssimo.