Reviewerly/exHarmony huggingface dataset:
Managing Cyber Risk and Security In Cloud Computing

Cloud computing provides outsourcing of resources bringing economic benefits. The outsourcing however does not allow data owners to outsource the responsibility of confidentiality, integrity and access control, as it still is the responsibility of the data owner. As cloud computing is transparent to both the programmers and the users, it induces challenges that were not present in previous forms of distributed computing. Furthermore, cloud computing enables its users to abstract away from low-level configuration such as configuring IP addresses and routers. It creates an illusion that this entire configuration is automated. This illusion is also true for security services, for instance automating security policies and access control in cloud, so that individuals or end-users using the cloud only perform very high-level (business oriented) configuration. This paper investigates the security challenges posed by the transparency of distribution, abstraction of configuration and automation of services by performing a detailed threat analysis of cloud computing across its different deployment scenarios (private, bursting, federation or multi-clouds). This paper also presents a risk inventory which documents the security threats identified in terms of availability, integrity and confidentiality for cloud infrastructures in detail for future security risks. We also propose a methodology for performing security risk assessment for cloud computing architectures presenting some of the initial results.
Impact of CSR on financial performance of Casablanca Stock Exchange companies: A longitudinal study

This study deals with the relationship between corporate social responsibility (CSR) and financial performance (FP) of Casablanca stock exchange companies. Our investigation covers the period 2012-2017. CSR is approached by a dummy variable which takes value of 1 if the company is labeled by CGEM CSR label, and value of 0 if not. Accounting and financial performance indicators were used to assess the FP: Return On Assets (ROA), Return On Equity (ROE), Return On Sales (ROS) and Market to Book Value (MBV). Con rol variables are measured by size, age, risk, and industry. Panel data are used as well to analyze data. Descriptive statistics, regression and correlation analyses were carried out. Findings of this study indicate mixed results which might be explained by the early stage of CSR in Morocco. Indeed, we have found a positive impact of CSR on PF, when using ROA as proxy in FP. This result supports social impact hypothesis. The study however didn’t find any impact of CSR on FP when using ROE as proxy in FP, sustaining the neutrality hypothesis. When using ROS, the relationship is found negative and supports since then the tradeoff hypothesis. The model testing the impact of CSR on MBV was not significant.
Application of Multi Sensor Fusion in Attitude Measurement of Crawler Mountain Forest Robot

Abstract Due to the complex terrain of the special robots in mountain forests application environment and the roughness of the road, it is difficult to solve the problem of the measurement of robot’s attitude, especially the real-time dynamic solution. In this paper, an attitude measurement system based on gyroscope, accelerometer and three-axis magnetometer multi-sensor fusion is proposed, and adds the complementary filtering algorithm to the attitude solution, the real-time dynamic attitude measurement of the robot is improved obviously.
The Impact of Corruption on FDI in Some MENA Countries

Foreign direct investment plays a major role in the economic growth of developing countries. It is one of the most important sources of foreign financing for development in these countries. The developing countries suffer from a shortage of domestic resources, as foreign investment has advantages that make it superior to loans. Since economic growth cannot be achieved without investment; and investment without an attractive and distinctive climate, and in this context, economic policies in MENA have witnessed a great interest in FDI flows. This has necessitated the need to identify the impediments to FDI inflows that may be one of these impediments to the development process is corruption. This paper studies the effect of corruption on foreign direct investment inflows for 14 MENA countries during the period of 2003 to 2016 by employing a panel data fixed effects model. The findings indicate the existence of three significant variables that affect FDI inflows. These variables are corruption perception index, political stability index, and trade openness. Results confirm the grabbing hand for FDI inflows hypothesis. The mitigation of corruption at all levels in MENA countries could encourage FDI inflows.
ANALYSIS OF FRAMEWORKS IN CLOUD ENVIRONMENT

Cloud is one of the advances, whose utilization is being expanded step by step for various purposes according to client's prerequisite.For the most part this innovation is utilized for capacity reason as a result of this, the clients need not to have any equipment stockpiling gadgets rather than that their information will be put away on the system.These frameworks must be increasingly secure with the goal that they give secrecy, protection and assurance for their consumer loyalty.Different calculations were created to make sure about cloud systems yet these calculations can't meet the prerequisites of the clients.In this paper, there is a comparison, of a hybrid approach and the individual algorithm to get the best results.
Design and Production of Educational VR Contents Learning about Design’s Principle and Flow

In this paper, the virtual reality (VR) technology, which fused and implemented information technologies, has become reality as many consumer VR devices are launched in the market and users employ them more than ever.This study designs and implements exhibition space VR for education purpose where users employ VR devices and select the design principle and flow to learn the contents.The contents designed and implemented in this study improved a sense of immersion by producing unorganized and fragmentary design shape principles as a form of VR contents.Thus, this study expects users to understand and be interested in the design principles more easily.
A Cryptographic Technique Involving Finite Fields and Logical Operators

Objectives:The aim of this study is to propose a new encryption/ decryption technique which involves logical operators and finite field.Methods/statistical analysis: The study proposes a new method for encrypting/decrypting messages which use logical operator XOR and finite field.The method involves sharing common keys between sender and receiver.Then converting plain text into ASCII values bit-form.XORing this with random matrix and then using finite field GF (2^5) for converting it into polynomial elements.These elements are then used for creating cipher text.Decrypting process is reverse of encrypting process.Findings: The technique uses 6×6 matrix form for encrypting messages which can be very difficult to crack with known plain text attacks.The use of XOR operations displaces bits in matrix which makes it difficult to break by brute force technique.Application/improvements: The technique is useful in areas where sensitive information is to be transferred like banking, military services.If the private key has got into third-party hands, the damage can be huge.To overcome this, the proposed algorithm can be used by randomizing the keys used for encrypting the messages which will provide different keys for encrypting different data blocks.
Challenges about Integration of Open Access to Libraries Collection Development Workflows in Nigeria

This study was generally designed to investigate the challenges to the integration of OAR into libraries collections development workflow in Nigeria.Specifically, the study investigated the challenges to defining OA, and the challenges about making open access material a part of the collection development workflow.The survey method was used for the study.Collections development librarians in selected academic libraries in Nigeria were the target of this study.The questionnaire was used for data collection.The instrument was administered on respondents via email and social media platforms.This was necessitated by the lockdown imposed by the government as a measure to curtail the spread of the dreaded Covid 19 pandemic.The questionnaire was designed to understand the challenges about defining OA and the challenges about making open access materials a part of the collection development workflow in academic libraries in Nigeria.One hundred and ninety four questionnaires were administered on collection development staff of the following institutions as follows: Federal university Libraries (22), State university libraries ( 28), private university libraries (47), federal polytechnic libraries ( 26), state polytechnic libraries (32), and college libraries (38).One hundred and seventy eight (178) questionnaires were however, completed and returned.This implies 92% return rate.All the respondents surveyed are members of the Nigerian Library Association (NLA), and are certified by the Librarians Registration Council of Nigeria (LRCN).Data were analyzed using graphical charts.The findings indicate that 60% and 20% of the respondents strongly agree and agree respectively that defining OA is a challenge to collection development; challenges about making OA part of collections development workflow include difficulty in discovering titles for OA selection 86%, OA materials have novel features 90%, OA preservation is complex 60%, licensing/ legal issues 86%, challenges about access and delivery of OA 76%, absence of OA in library school curriculum 80%, absence of OA in librarians' duty schedule 74%, lack of skills to handle OA integration 68%, slow internet speed and low bandwidth 88%, lack of ICT deployment 58%, erratic power supply 82%, lack of OA handling skills 74%, Others 12%.
Intellect Modeling Kit

It is presentation of technology called Intellect Modeling developed with idea of amplification of human intellect and as an alternative to traditional Artificial Intelligence. The goal is to assist human intellect on every step of its activity, accept human knowledge and develop new knowledge together with people. The activity of Intellect Modeling applications could be verified by human expert on every stage. Intellect Modeling Kit is an open-source project located at Sourceforge repository http://sourceforge.net/projects/gkm-ekp .
Adaptive Energy-Aware Algorithms to Minimize Power Consumption and SLA Violation in Cloud Computing

Objective: With the establishment of virtualized datacenters on a large scale, cuttingedge technology requires more energy to deliver the services 24*7 hours. With this expansion and accumulation of information on a massive scale on data centers, the consumption of an excessive amount of power results in high operational costs. Therefore, there is an urgent need to make the environment more adaptive and dynamic, where the overutilization and underutilization of hosts are well known to the system and active measures can be taken accordingly. To serve this purpose, an energy-efficient method, for the detection of overloaded and under-loaded hosts, has been proposed in this paper. For implementing VM migration, VM placement decision has also been taken to save energy and reduce SLA (Service Level Agreement) rate over the cloud. Methods: In the paper, a novel adaptive heuristics approach has been presented that concerns with the utilization of resources for dynamic consolidation of VMs based on the mustered data from the usage of resources by VMs, while ensuring the high level of relevancy to the SLA. After identification of under-load and overload hosts, VM placement decision has been taken in the way that takes minimum energy consumption. A minimum migration policy has been adopted in the proposed methodology to minimize execution time. The validation of the effectiveness and efficiency of the suggested approach has been performed by using real-world workload traces in the CloudSim simulator. Results: The results shows that the proposed methodology is ideal for SLA, but costs more for VM migration. Conclusion: A deep analysis must be done in existing energy efficient approaches and a new platform should be suggested to save energy in real life.
Pengembangan Media Pembelajaran Handout Digital Berbasis Android

This research is based on the existence of gaps in the Powerpoint learning media when used in complex material discussions. The development of instructional media has the aim to determine the feasibility , find out responses and learning outcomes of student on digital handout learning media based on androidThis research was conducted to 20 students of class XI in the 1st Senior High School Puri Mojokerto by collecting data using interviews, documentation, and questionnaires that were analyzed through qualitative and quantitative data analysis. The research model utilized 4D consisting of define, design, develop, and disseminate stages. The outputs of research were Android-based digital handout learning media applications with the APK format. The validation results of Digital Handout media obtained proper conclusions with the details, i.e., material experts by 92.8%, media experts by 87.8%, evaluation experts by 84%, and question experts by 88%. Students resulted in the positive responses by 91.8% and induced an increase in learning outcomes, which relatively high, considering from an average Gain Score of 0.71 with the completeness of classical posttest amounting to 90%. Therefore, it can be concluded that based on the results, digital handout learning media can facilitate students' understanding through appropriate media with positif responsses and increase in learning outcomes.
Rupiah Exchange Prediction of US Dollar Using Linear, Polynomial, and Radial Basis Function Kernel in Support Vector Regression

As a developing country, Indonesia is affected by fluctuations in foreign exchange rates, especially the US Dollar. Determination of foreign exchange rates must be profitable so a country can run its economy well. The prediction of the exchange rate is done to find out the large exchange rates that occur in the future and the government can take the right policy. Prediction is done by one of the Machine Learning methods, namely the Support Vector Regression (SVR) algorithm. The prediction model is made using three kernels in SVR. Each kernel has the best model and, the accuracy and error values are compared. The Linear Kernel has C = 7, max_iter = 100. The Polynomial Kernel has gamma = 1, degree = 1, max_iter = 4000 and C = 700. The RBF kernel has gamma = 0.03, epsilon = 0.007, max_iter = 2000 and C = 100. Linear kernels have advantages in terms of processing time compared to Polynomial and Radial Basis Function (RBF) kernels with an average processing time of 0.18 seconds. Besides that, in terms of accuracy and error, the RBF kernel has advantages over the Linear and Polynomial kernels with the value R2 = 95.94% and RMSE = 1.25%.
Rancang Bangun Aplikasi E-Reporting Layanan Masyarakat Kecamatan Buay Madang Berbasis Android

Buay Madang Regency is one of the developing regions in East Oku. Service to the public is one of the concentrations that the East Oku regional government emphasizes. The obstacle faced at this time is the lack of people's desire to report an incident that happened around them for various reasons. Therefore we need a supporting facility in the form of E-reporting applications. The media is in the form of software that can be accessed through an Android smartphone. The software was built with the method of developing Rapid Application Development (RAD). With this E-reporting application, the public can easily report on events that occur around them, which in turn the relevant parties can immediately follow up on the report. Based on these problems, the authors are interested in creating an android-based application with the title Designing and building an E Reporting Service Application for Community Services in the Android-based Buay Madang Regency.
A Literature Review of Mental Simulation in New Product Marketing

To successfully introduce a new product to the consumer market, the company needs to effectively communicate with target customers. In new product marketing practices, a widely used communication strategy is to encourage consumers to mentally simulate the interaction with new products, in order to influence and strengthen their positive cognition and attitude towards new products. In recent years, the effect of mental simulation two-way exchanging new products’ information becomes a hot topic in the field of marketing communication, and foreign scholars have made great efforts on it. This paper systematically sorts out the relevant literature, aiming to provide an overview and in-depth understanding of this research topic.Firstly, we introduce the concept of mental simulation from cognitive psychology, and define it in the anticipatory perspective as consumers imagine themselves interacting with new products that they never use or experience before for new product marketing research. Then we explain its types, which have been classified into process-focused and outcome-focused in the most relevant literature, and self-relevant and other-relevant, imagination-focused and memory-focused in the new product marketing field. Its features and functions are also specified.Secondly, the roles of mental simulation in marketing communication and new product marketing are discussed. Evoking consumers’ mental simulation has been proven as an effective way to communicate business information in many studies, which in turn affects consumers’ cognition, attitude and behaviour. In the field of new product marketing, it finds that consumers may use mental simulation to process the information of new products and to evaluate the products, based on which their preferences are shaped.Thirdly, we analyze the influential factors affecting the mental simulation strategy in new product marketing from three perspectives—the types of mental simulation, advertising information and individuals’ differences. According to the existing literature, the way that how consumers mentally imagine using new products, and the format of new products’ information, directly affect consumers’ response to new products. Consumers’ capability of generating mental imagery and their internal focus tendency are two major personal characteristics influencing mental simulation’s functions.Lastly, the directions of future research are pointed out. We believe that the mechanism of mental simulation in new product marketing needs to be investigated, as well as the role and functions of meta-cognitive experiences. The negative effect of mental simulation should not be ignored in future research, and more attention should be paid to the other types of mental simulation rather than visual imagery.
Unmasked: The Science of Superheroes

Could your favourite superheroes really exist?Take a look at the secret science behind superheroes and the incredible real world breakthroughs that could bring them closer to reality than ever before.
Production Analysis and Prediction of TOP using ARIMA Model

Tomato, Onion and Potato are the staple foods that form the essential part of meal in the contemporary world.Lack of co-ordination between the demand, supply and production induces price fluctuation in the developing country like India.In order to overcome this problem a synchronous model should be in place to reduce the price fluctuation.One of the solutions for the mentioned problem, is designed in the work carried out.ARIMA model has been utilized in the work to come up with the best model for predicting the amount of production based on the previous data.The work provides the best AR, MA and ARIMA model and also the prediction for 15 years based on the previous available data.In conclusion, the work provides the ARIMA model for tomato, onion and potato.
Peningkatan Motivasi dan hasil Belajar Siswa Melalui Model Pembelajaran Kooperatif Two Stay Two Stray

Research is motivated by the lack of motivation and learning outcomes in the learning process. The use of appropriate learning models can increase motivation and student learning outcomes in XI-IPS High School Superior State Dharmasraya. Based on these problems the researchers applied the Two Stay Two Stray cooperative learning model with the aim of increasing student motivation and learning outcomes in economic subjects. This research method is a classroom action research conducted in two cycles and each cycle there are three meetings. Conducting research with the Two Stay Two Stray cooperative learning model on economic subjects includes (1) planning, (2) implementation, (3) observation, and (4) reflection. The results of this study indicate that the application of the Two Stay Two Stray cooperative learning model can increase motivation and learning outcomes of students of class XI IPS SMAN Unggul Dharmasraya. This is seen from the aspect of student motivation in cycle I and cycle II which increased by 17.6% and in the cognitive spec or learning outcomes in cycle I and cycle II also increased by 12%, although the increase was not too sharp but recruiting researchers this shows that the application of the Two Stay Two Stray cooperative learning model can be used to increase student motivation and learning outcomes in economic subjects.
Entrepreneurship Information System Design with ICONIX Process for a Student Business Unit Marketplace

Abstract Indonesia consistently encourage youth generation to become entrepreneurs who have high competitiveness. University plays a role in developing the entrepreneurial spirit and activities of each student as a representative of the youth generation. University provides entrepreneurship courses that are expected to foster interest and encourage the entrepreneurial spirit of students in creating business units. Student business units can create products or services needed by the community and can employ others. This study aims to design student entrepreneurship information systems. The student entrepreneurship information system is a web application-based marketplace to accommodate and promote all products and services of each student business unit. The results of research in the form of UML design with the ICONIX Process approach can provide an overview development of student entrepreneurship information systems in determining the specifications of user requirements, system requirements specifications, and system design.
ECONOMY OF HIGHER EDUCATION IN RUSSIA: PROSPECTS FOR DEVELOPMENT AND IMPROVEMENT

The relevance of the topic is due to the difficulties that the Russian higher education system is facing today. Higher education together with the education system as a whole constitutes the most important factor in the development of national production. The progress of higher education must meet the requirements of the modern market. The purpose of the article is to identify areas of improvement of the education system, corresponding to promising trends in the development of the labor market. Changes in the modern labor market are changing the role of higher education in the economy. It should create a solid foundation of knowledge and skills of graduates, which will allow them to adapt to the changing labor market and independently develop their careers. The system of higher education of the future should change qualitatively in comparison with the level existing in Russia. The constantly evolving skills required by employers in the modern labor market necessitate a qualitative improvement of university graduates. Highly qualified specialists in any profession of the future should possess not only “hard” skills, but also “soft” skills. The flexibility of the modern labor market requires the appropriate flexibility of the higher education system. Universities should make greater use of new educational technologies to achieve this goal.