Reviewerly/exHarmony huggingface dataset:
BEYOND BITCOIN: LEVERAGING BLOCKCHAIN TO BENEFIT BUSINESS AND SOCIETY

Although many people equate blockchain with bitcoin, cryptocurrency, and smart contracts, the technology also has the potential to transform the way companies look at governance and enterprise risk management, and to assist governments and businesses in mitigating human rights impacts. This Article will discuss how state and non-state actors use the technology outside of the realm of cryptocurrency. Part I will provide an overview of blockchain technology. Part II will briefly describe how public and private actors use blockchain today to track food, address land grabs, protect refugee identity rights, combat bribery and corruption, eliminate voter fraud, and facilitate financial transactions for those without access to banks. Part III will discuss key corporate governance, compliance, and social responsibility initiatives that currently utilize blockchain or are exploring the possibilities for shareholder communications, internal audit, and cyber security. Part IV will delve into the business and human rights landscape and examine how blockchain can facilitate compliance. Specifically, we will focus on one of the more promising uses of distributed ledger technology – eliminating barriers to transparency in the human rights arena thereby satisfying various mandatory disclosure regimes and shareholder requests. Part V will pose questions that board members should ask when considering adopting the technology and will recommend that governments, rating agencies, sustainable stock exchanges, and institutional investors provide incentives for companies to invest in the technology, when appropriate. Given the increasing widespread use of the technology by both state and non-state actors and the potential disruptive capabilities, we conclude that firms that do not explore blockchain’s impact risk obsolescence or increased regulation.
Sistem Informasi Pelayanan Masyarakat Berbasis Web Di Desa Paseh Kaler Menggunakan Framework Codeigtner

The development of technology has a very important role for the community in their daily activities, currently it is very supportive for the community to get facilities that are easy to use, one of which is in the service of filing letters at the village office. The Village Office opens services to the community in the scope of the Village, including services in correspondence, both cover letters, permission letters and certificates. The web-based information system can be used to help village officials or officials to serve their communities online and can be done anywhere, with the existence of a community information system that can be served quickly and accurately. but not all village offices have information systems to serve the community, most village offices still use Microsoft Word and Excel, and people who submit are not given soft copies so that it will be difficult if the letters that have been printed on paper media are damaged or lost, therefore this research was made to help village officials provide a faster and more accurate service process by creating a system that produces information and services to the community, the system is a computerized system that can be accessed online such as the Paseh Kaler Village community service information system that can provide correspondence services without having thecommunity come to the village office, the conclusion is that this system helps the community get fast, accurate and accurate services without having to queue at the village office.
An efficient and optimised approach for secured file sharing in cloud computing

Cloud computing has brought a new revolution to IT industry. In this era, information sharing is more convenient and fast, but applying security mechanism on information while outsourcing it on cloud is challenging. In this paper, we proposed hybrid approach comprising of symmetric and asymmetric algorithm. For encrypting file, we generated optimal and efficient symmetric key using genetic algorithm (GA), further an efficient and secure re-encryption concept has been proposed for ensuring the security of data in unreliable cloud environment. Our results have proved that our proposed approach is more efficient and secured while sharing file with authorised users using cloud in comparison to existing approaches.
Ranking the Egyptian universities sites using the popular search terms method on Google Trend

The university’s website is the university’s window on the world and a means of communication between the university’s databases and its colleges and beneficiaries, whether they are students, faculty, administrative staff or visitors with the aim of providing news, electronic, administrative and educational services to the beneficiaries; therefore this study aims to evaluate the sites of Egyptian public or private universities In the style of popular search terms through Google Trend indicators and comparing them with the classification of these universities; Google Trend Trends and what this tool can do for the university to improve its location and predict the direction of the beneficiaries of the university's location The study reached many results, including that the Egyptian universities sites need to exert more effort to attract the interest of the beneficiaries from them, and that the relationship between the ranking of universities using odorless search terms on Google Trend and 4icu classification where the value of the correlation coefficient between them is 0¸35 As for the relationship between Ranking of universities using smelling search terms on Google Trend and Webometrics ranking is an intermediate direct relationship where the correlation coefficient value is 0¸6
The Cyber Insurance Market in Israel

Cyberspace poses many challenges threats and risks which, with the development of technology, are increasingly affecting all of us in terms of the scope, frequency, damage, immediate effects and long-term consequences. All these impact many sectors. Cyber insurance is one of the tools for managing these risks. Indeed, the cyber insurance market is developing around the world, but in many countries, as well as in Israel, it has not yet reached its full potential. This study examined the cyber insurance market in Israel by analyzing the existence of a cyber insurance service among insurance companies and agencies. In addition, it examined the reference to this market by various experts in this field. All the above has been done with the aim of establishing the degree of maturity of the market in Israel. The findings of the study indicate that the cyber insurance market in Israel is not mature enough. Cyber insurance is not a popular product among companies to manage their cyber risks, mainly due to lack of information, knowledge, awareness among customers, insurance agencies, insurance companies, and government bodies. However, steps are being taken, mainly by Israel National Cyber Directorate (INCD), to empower insurance agents and their customers with relevant professional knowledge.
REGULAR POLYGONS IN 2D OBJECTS SHAPE DESCRIPTION

Many real 3D objects have complex geometric shapes in various types of analyses.Image of these objects is recorded in the form of a 2D map.In the analysis, a simplification of this image to basic 2D figures with defined geometry is often needed.The paper presents an analysis of the geometry of a flat image (an image of a 3D object) using regular polygons.Geometry properties (F form, C centroid, S size) were determined to describe the object.Various criteria of selection of the 'best' regular n-sided polygon for a given 2D object (solved theoretically) were put forward.In the paper, criteria for describing a 2D object by regular n-sided polygons were defined on the basis of determining the measure of object shape elongation (e).In the 'blind' theoretical example, it was tested whether the individual shape measures listed in the paper allow for correct identification of the shapes of given 2D objects.The practical application of measures is illustrated by two actual examples.While in the first example the shape of the Canary Islands is analysed, the second example describes the shape of Poland's borders.Actual examples deliver different results for different measures.In effect, there is no clear objective criterion for selecting a polygon shape.The simplifications of the shape of an object presented in the paper should not be equated with the object's generalization.Such simplifications are used in GIS to visualize geographic analyses based on the data available in the primary database, because the object will retain the character of the shape in the simplest possible geometry and neighborhood, and does not lose any of the scope and accuracy of the attributes assigned to a given object in the database.
Automated topic analysis for restricted scope health corpora: methodology and comparison with human performance

This paper addresses the problem of identifying topics which describe information content, in restricted size sets of scientific papers extracted from publication databases.Conventional computational approaches, based on natural language processing using unsupervised classification algorithms, typically require large numbers of papers to achieve adequate training.The approach presented here uses a simpler word-frequency-based approach coupled with context modeling.An example is provided of its application to corpora resulting from a curated literature search site for COVID-19 research publications.The results are compared with a conventional human-based approach, indicating partial overlap in the topics identified.The findings suggest that computational approaches may provide an alternative to human expert topic analysis, provided adequate contextual models are available.
RainRoof: Automated Shared Rainwater Harvesting Prediction

A large proportion of rainwater harvesting systems is not optimized for maximum water conservation. Along with requiring tedious timelines to gain approval, the rising urbanization necessitates the adoption of shared rainwater harvesting, a system that uses a shared rainwater store for the surrounding community. The process of estimating the feasibility of such a system is complex and requires a lot of manual inspection. This paper presents a machine learning and computer vision-based solution that automates the entire process by implementing rooftop image segmentation, depth estimation, rainfall prediction, and optimal tank placement. Rainfall prediction is done using a seasonal autoregressive moving average (SARIMA)-based rolling forecasting model with a mean absolute error of 85.69. The Mask R-CNN segmentation model is enhanced by the Canny edge algorithm and contour mapping to calculate the catchment volume of the rooftop. The system can thus provide the feasibility of an installation and estimate the break-even period based on the computed metrics.
Federally funded precious metals exploration in the 21st century: results and prospects

The paper highlights the location of precious metal deposits within the Russian Federation planned for federally funded exploration within Russia and its subjects during 2003-2024, as well as its funding dynamics; it also presents resources approved as a result of exploration and shows federally funded exploration areas for the near term. The conclusion is validated that supporting gold production at the current level in the mid- to long-term requires both enhancing prospecting activities and launching federally funded forecasting-mineragenetic works to localize promising areas containing potential resources.
Future Foreign Language Teachers' Readiness for Innovative Activity in the Context of Smart Education: The Results of the Pedagogical Experiment

The article analyzes the approaches to defining the essence of the concepts "readiness" and "future foreign language teachers' readiness for innovative activity in the context of smart education".The analysis of scientific sources made it possible to find out the specifics of the content nature of the concept under study and to provide our vision of the problem.The readiness of a foreign language teacher for innovative activity is defined as the ability to organize, realize, and regulate vocational and pedagogical activities.It is determined by many factors, among which the most important is the formation of educational, linguistic, and innovative competences.Its structure, which is represented by the motivational, cognitive, creative, reflexive, valeological, technological, and personal components, has been specified.They are based on the provisions on the criteria of teachers' readiness for innovative professional activity and the researchers' models of teacher training for innovation.Integrating the results of domestic and foreign scientists' researches on the specificity of the level-based approach to determining the levels of students innovative competence, and taking into account the experience of our work at a higher educational institution, allowed specifying three levels of formation of future foreign language teachers' readiness for innovative activity in the context of smart education and their characteristics.The theoretical methods used during the experimental study included analysis, synthesis, generalization, modeling, comparison, induction, deduction.The statistical analysis of the data was carried out using the non-parametric Pearson xi-square test.
No One is Perfect: Analysing the Performance of Question Answering Components Over the Dbpedia Knowledge Graph

Question answering (QA) over knowledge graphs has gained significant momentum over the past five years due to the increasing availability of large knowledge graphs and the rising importance of question answering for user interaction. DBpedia has been the most prominently used knowledge graph in this setting and most approaches currently use a pipeline of processing steps connecting a sequence of components. In this article, we analyse and micro evaluate the behaviour of 29 available QA components for the DBpedia knowledge graph that were released by the research community since 2010. As a result, we provide a perspective on collective failure cases, suggest characteristics of QA components that prevent them from performing better and provide future challenges and research directions in the field.
Modeling and Identification of complex systems using Neuro-Fuzzy Techniques.(Dept.E)

In this paper Adaptive-Network-Based Fuzzy Inference System (ANFIS) architecture is presented and has been used as a tool for System Identification. System Identification consists of three related steps: 1:) Structure specification, 2:) Parameter estimation. 3:) Model Validation. These steps are also discussed. We use a new method to determine the structure of the ANFIS model (Fuzzy Curves). Fuzzy Curves Help in determining the number of significant inputs from a number of candidates. We determine the number of membership functions in each input by using the subtractive clustering. Finally this method is tested on two cases.
الاستخدامات الواعدة لتقنية البلوک تشين في التعليم

Abstract: Blockchain technology has been a sensation and a major concern for both academics and professionals since they emerged 10 years ago in the field of encrypted digital currencies, for its great potential and unique, in adition to its very rapid development, opening the way for wide horizons for its uses. With the explosion of Blockchain technology and the spread of its applications in various fields, the education sector is looking to harness the technology that is expected to make profound changes in the sector that it has not seen before by improving it and facing its challenges. The purpose of this research is to highlight the promising uses of Blockchain technology in the education sector by focusing on the nature of Blockchain technology, its benefits in education and its most important uses in education, supported by global models that pioneered the introduction of this technology in the education sector. Keywords: Blockchain Technology, Smart Contracts, Education
Importance-based Multimodal Autoencoder

Integrating information from multiple modalities (e.g., verbal, acoustic and visual data) into meaningful representations has seen great progress in recent years. However, two challenges are not sufficiently addressed by current approaches: (1) computationally efficient training of multimodal autoencoder networks which are robust in the absence of modalities, and (2) unsupervised learning of important subspaces in each modality which are correlated with other modalities. In this paper we propose the IMA (Importance-based Multimodal Autoencoder) model, a scalable model that learns modality importances and robust multimodal representations through a novel cross-covariance based loss function. We conduct experiments on MNIST-TIDIGITS a multimodal dataset of spoken and image digits,and on IEMOCAP, a multimodal emotion corpus. The IMA model is able to distinguish digits from uncorrelated noise, and word-level importances learnt that correspond to the separation between function and emotional words. The multimodal representations learnt by IMA are also competitive with state-of-the-art baseline approaches on downstream tasks.
IRAQI Academic Admission System: A Performance Analysis Evaluation

The service quality of any information-based system could be evaluated by the high-end user in such a way that the system developer or responsible intently might use these user experiences to improve, develop and benchmark their system. In this paper, questionnaire implemented to rate to what extent the academic admission system as a web site achieves performance. Data were collected from 21 users of the system; all of them are highly educated and have the experience of using the site. Quadrant and gap analysis were implemented to evaluate the weakness and strength of the data. The major data analyses were performed on the data collected in terms of its importance and satisfaction to the users. A number of statistical tools have been utilized such as average value and standard deviation to accomplish the objective of this paper.
Studi Epidemiologi Penderita Leukemia Granulositik Kronis pada Komunitas ELGEKA di Jawa Barat

Abstract. Incidence of chronic granulocytic leukemia occurs in about 15% of all cases of leukemia. There are 1-2% of 100,000 individual cases per year. Each region has different characteristics. Therefore, this study aimed to describe the sufferers' characteristics of chronic granulocytic leukemia in the ELGEKA West Java community. This research is a descriptive observational study, with a cross sectional research design. This research was conducted from September to December 2020. The number of subjects in this study was 63 people. The selection of subjects using non-probability purposive sampling techniques or research subjects met the inclusion criteria, using the Slovin formula. Data analysis using the SPSS statistical application. The characteristics to be described include domicile, age, sex, occupation, race, age at diagnosis, latest education, medication, initial and final BCR-ABL values, leukocytes, platelets and hemoglobin. The results showed the highest prevalence was in Bandung (20%), with an age range of 30-39 years (38.1%), suffered mostly by women (55.6%), most of them were private employees (28.6%), people with Sundanese race (68.3%), the average age of diagnosis was 34 years, the latest education was higher education graduate (57.1%), the most drug used was imatinib (81.3%), the initial dominant BCR-ABL value was > 10% and end dominant was 10% dan akhir dominan <0,1%, hasil pemeriksaan darah rutin dominan hemoglobin 8-12g/dL, leukosit dominan dengan hasil 5000-10.000/mm 3 dan trombosit dominan dengan hasil 150.000-400.000 mm 3 . Kata kunci: epidemiologi, komunitas ELGEKA, Leukemia granulositik kronis
COVID-19 Contact Tracing Apps: A Stress Test for Privacy, the GDPR and Data Protection Regimes

Digital surveillance has played a key role in containing the COVID-19 outbreak in China, Singapore, Israel and South Korea. Google and Apple recently announced the intention to build interfaces to allow Bluetooth contact tracking using Android and iPhone devices. In this article we look at the compatibility of the proposed Apple/Google Bluetooth exposure notification system with Western privacy and data protection regimes and principles, including the General Data Protection Regulation (GDPR). Somewhat counter-intuitively, the GDPR’s expansive scope is not a hindrance, but rather an advantage in conditions of uncertainty such as a pandemic. Its principle-based approach offers a functional blueprint for system design that is compatible with fundamental rights. By contrast, narrower, sector-specific rules such as the US Health Insurance Portability and Accountability Act (HIPAA), and even the new California Consumer Privacy Act (CCPA), leave gaps that may prove difficult to bridge in the middle of an emergency.
Aerial View Based Guidance System

With the limited amount of resources and roads available, traffic congestion seems to be the current leading problem for urban areas. Reliance on the traditional vehicular navigation systems seems to a huge contributing factor, which simply cannot meet the present demand for better traffic management. While the existent navigation system relies on the Global Navigation Satellite System (GNSS) and predefined historic navigation data, a real time optimal pathfinding navigation system has been lacking. We have proposed a close to a real-time system that calculates an optimal path from start to destination using floodfill algorithm and provides guidance to ground vehicles. A camera hovering over the top provides a bird’s eye view and via the Hyper Text Transfer Protocol (HTTP) on top of 802.11n protocol, transfers aerial view from the airborne device to Unmanned Ground Vehicle (UGV) where the actual computer vision processing is done in a local processor. The use of floodfill algorithm although requires an image that contains the whole maze but makes the system far more efficient. This makes it real time and efficient which may be further improved and integrated with actual traffic scenarios.
Comparison of three methods for estimating the global solar radiation of Faya-Largeau in the Saharan zone, Chad

In this work, we make a confrontation between measured values of the solar radiation given by NASA and those estimated by the mathematical models suggested in the literature. The chosen mathematical models are those of the model of Angstrom, Allen and the model of Sabbagh which are described as the best models. The three methods used the root mean square error (RMSE),mean bias error(MBE), mean percentage error(MPE) and nash- sutcliffe equation(NSE) was compared with failure analysis. The site of Faya-Largeau has been chosen as reference. The comparative study of the obtained results showed that the model of Sabbagh presents a best estimation of the global solar radiation with a value of 6.013 kWh/m2/day in particular for an incidence on horizontal level. Well cavity, it arises that the site of Faya-Largeau being in the Saharan zone of Chad has a good solar potential for the exploitation of photovoltaic solar energy.