Reviewerly/exHarmony huggingface dataset:
The Dark Side of Social Media: Review of Cyber Crime in the Tourism Industry in Malaysia

The research paper has focused on the darker side of social media in regards to the tourism industry in Malaysia. The research aims to shed light on the darker sides of social media and its negative impacts on the Malaysian tourism industry. Social media creates both positive and negative impacts. However, the positive sides of social media are well investigated but not many researchers focus on the negative sides of this media. The objective of this research was to evaluate the negative impacts of social media on the tourism sector in Malaysia. The study has been conducted to find out the adverse impacts of social media on the tourism sector of Malaysia. The thesis statement is that social media has stimulated the incidences of cybercrimes in the Malaysian tourism sector. Both secondary and primary research methods were used for the study. Secondary research was conducted by reviews of different pieces of literature like research papers, journals and news articles, etc. For primary research survey technique was used to conduct quantitative research. The result shows that the growths of social media endorse cybercrime among Malaysian society. The Malaysian tourism industry has affected significantly by incidences of cybercrime as the growth of social media in this country stimulates the augmentation of cybercrime in this tourism industry. In the last few years, it is evident that the amount of internet users is increased dramatically, and simultaneously the users of social media websites are also grown extensively. It stimulates cybercrime. Cybercriminals have stroked the Malaysian Tourism Industry and that resulted in the losses of RM1 billion.&#x0D;
Internet advertising of offensive products: the effects of cartoons on adult consumer attitudes

During recent decades, internet advertising has been increasingly used for promoting various types of products. As offensive products generally yield more negative responses to the audience, this study was conducted to identify the effects of different advertising designs on adult consumer responses to offensive product advertisements on the internet. A 4 × 4 factorial design was used in the experiment where internet users reported their responses to different banner advertising designs (with and without cartoons) of offensive and non-offensive products. The findings indicate that for the main effects of online banner advertising designs, cartoon ads (ad with drawing) have a less favourable effect on attitude toward the brand when it is non-cartoon (real images), regardless of product type (offensive or non-offensive). Moreover, there is a no interaction effect between ad design and product types on consumer response, even though cartoon ads used in offensive product advertising yield less favourable attitude toward the product than non-cartoon ads.
Technical Support System for Power System Load Modeling

Background: In order to better establish accurate load models and meet the practical demand of current power system load modeling, it is necessary to establish related technical support systems for power system load modeling. Objective: The purpose of the paper was to construct the overall scheme of power system load modeling technology support system and complete the development of the system. Methods: Based on the modular design idea, the system adopts a multi-level architecture combining B/S and C/S modes, covering the key technologies of substation classification based on selforganizing neural network algorithm, load dynamic characteristic classification based on lifting wavelet packet algorithm, load model parameter identification and load modeling based on adaptive interactive multiple model (AIMM) algorithm. Results: After actual operation verification, the built technology support system can well solve the related problems of substation classification, load dynamic characteristic classification, load model parameter identification and load modeling. It has the characteristics of a friendly man-machine interface, simple operation and strong extensibility. Conclusion: The built technology support system provides powerful technical support for improving the load data management level of the power system and establishing an accurate load model, and promotes the practical process of load modeling theory.
Understanding the Cybersecurity Maturity Model Certification (CMMC)

Cyber attackers continue to target contractors in the Defense Industrial Base (DIB) sector with increasing frequency. This sector supports the ...
Policy Formation Without Authority

We document the design and development of a modular blockchain IT artefact, affording stakeholders in emerging economies the ability to deploy and collectively govern resilient financial infrastructure. The artefact comprises a smart contract system implementing an iterative policy framework through which stakeholders engage in collective deliberation on the compilation, redistribution and inflation of a native asset class. Stakeholders submit and elect 'schemes' implementing policy measures, such as taxation, through voting sessions weighted by 'reputation scoring'. We aim to contribute towards the emerging discourse on the utility of blockchain technology in emerging economies.
An attention based method for video semantic segmentation

OSVOS is one of the best algorithms in video semantic segmentation of single-target. CBAM module is proposed in object detection and classification. This module can improve the performance of the network without adding extra computation. In view of this, this paper proposes an end-to-end network AttnVSS based on attention and VGG-16. CBAM is embedded in the shallow layer of our network. The network is first pre-trained on ImageNet, and then full connection layer is removed and fine-tuned to meet the segmentation requirements. Through the ablation experiment on DAVIS dataset, it is proved that CBAM can be embedded into semantic segmentation networks. At the same time, it can help the network to allocate "attention", focus on the most meaningful part of the input, to achieve faster and more accurate segmentation.
Korean learmers' acquisition order of Chinese ZAI accoding to the textbook and question types.

In the study of second language acquisition, examining the acquisition order of the learners' target language is critical to understanding their interlanguage characteristics. The order of ZAI by Korean learners was studied in this paper. First, the grammatical point of ZAI was divided into four parts: verbs, prepositions as adverbs, prepositions as complement, and adverbs. Next, the required Chinese sentences from the questions of the HSK Level 4 mock test were selected and adapted into three types: choice, judgement, and translation. The Korean learners were asked to answer the questions, and their data were analyzed then. The main points to consider in this study were (1) does the Korean learners acquire ZAI with the same order of the grammar points presented in their textbook? (2) Is the language acquisition order of ZAI affected by the question types? The results showed that, the sequence of ZAI presented in the textbook is essentially consistent with the language acquisition order of the learners, and their language acquisition order varies with the question types.
The Surfing Attacks Secured Password Authentication System

People enjoy the convenience of on-line services, but online environments may bring many risks. We propose a virtual password concept involving a small amount of human computing to secure users’ passwords in on-line environments. We adopt user determined randomized linear generation functions to secure users’ passwords based on the fact that a server has more information than any adversary does. We analyze how the proposed scheme defends against phishing, key logger, and shoulder-surfing attacks. To the best of our knowledge, our virtual password mechanism is the first one which is able to defend against all three attacks together. In this work, we discussed how to prevent users’ passwords from being stolen by adversaries. We proposed a virtual password concept involving a small amount of human computing to secure users’ passwords in on-line environments. We also implemented the system to do some tests and survey feedback indicates the feasibility of such a system. In this paper, we discuss how to prevent users’ passwords from being stolen by adversaries in online environments and automated teller machines. We propose differentiated virtual password mechanisms in which a user has the freedom to choose a virtual password scheme ranging from weak security to strong security, where a virtual password requires a small amount of human computing to secure users’ passwords. Among the schemes, we have a default method (i.e., traditional password scheme), system recommended functions, user-specified functions, user-specified programs, and so on. A function/program is used to implement the virtual password concept with a tradeoff of security for complexity requiring a small amount of human computing
Program Design Courses Reform and Exploration Based on Engineering Education Accreditation Standard

According to the engineering education accreditation standard, taking Tourism and Culture School of Yunnan University as the example, we analyzed the relationship between program design courses and accreditation standard. With engineering education accreditation standard at its core idea, integrating massive open online course and project driving teaching methods, we tried to make reform in program design courses from study needs, teaching goals, teaching designs, study results evaluation and courses continuous improvement. We will make the professional teaching level achieve the standard of engineering education accreditation standard through teaching reform and teaching quality improvement.
Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework.

Recently, graph-based algorithms have drawn much attention because of their impressive success in semi-supervised scenarios. For better model performance, previous studies learn to transform the topology of the input graph. However, these works only focus on optimizing the original nodes and edges, leaving the direction of augmenting existing data unexplored. In this paper, by simulating the generation process of graph signals, we propose a novel heuristic pre-processing technique, namely ELectoral COllege (ELCO), which automatically expands new nodes and edges to refine the label similarity within a dense subgraph. Substantially enlarging the original training set with high-quality generated labeled data, our framework can effectively benefit downstream models. To justify the generality and practicality of ELCO, we couple it with the popular Graph Convolution Network and Graph Attention Network to extensively perform semi-supervised learning evaluations on three standard datasets. In all setups tested, our method boosts the average score of base models by a large margin of 4 points, as well as consistently outperforms the state-of-the-art. Please find our code at this https URL.
PENGGUNAAN VIDEO-BASED LEARNING TEKNIK UNTUK MENINGKATKAN PENGUASAAN GRAMMAR

This study discusses an action research design conducted by the teacher researcher to overcome the learning hindrances encountered by first semester students of Technique  Informatics Program at STMIK Pontianak in learning Grammar using Video- Based Learning technique. This study conducted into two cycles within three steps of Look-Think-Act of action research interacting spiral. Class 1C2 becomes the participants in this inquiry consisted of 35 students, 6 girls and 29 boys which come from different English backgrounds. Qualitative and quantitative are the data collection technique used in this study. The data are obtained from the field notes of the class atmosphere of learning using Video-Based Learning technique and from the students’ scores before and after the implementation of VBL in learning using SPSS vesion 25. Video-Based Learning is widely used method in teaching learning process. The outcomes shed light onto that VBL technique really influence students learning process and students outcomes of grammar increased of course having more meeting of learning using VBL is recommended.Keywords : CAR, grammar, VBL, system information program
NIST Cyber Security Framework Using ISO 27001 | I.S. Partners

A part of the United States Department of Commerce, the National Institute of Standards and Technology (NIST) serves as support for a broad variety of ...
The Power of Python

Python has quickly become one of the most important tools in the data science and data engineering communities. This chapter digs deeper into how you can use this language together with the Apache Spark DataFrames API to work with data in an efficient way.
The history of literary and art almanac “The Pacific Ocean” (1959–1962).

The article continues the series of publications devoted to the historical experience of far-eastern literary and art almanac “Soviet Primorye”, the name of which has changed several times throughout its history. The article reviews the 1959-1962 period of almanac's history when its name was “The Pacific Ocean”. The reason of almanac’s name change is covered by the article as well. The analysis of archive documents shows the problems that almanac has faced and reveals the reasons that eventually led to its suppression. The author of the article pays special attention to the role of AUCP(b) in almanac’s history. Every aspect of almanac's publicistic activity – from the issue's content to its distribution - was under the full control of Primorye party committee. The Soviet party organs also had the exclusive right to either publish or dismiss the issue.
Online newspapers in teaching reading in the English classroom at high school

The paper reports the results of an experimental study on the use of authentic online newspapers in developing students' reading skills in senior classes by the English high school teachers of Murmansk and the Murmansk region, Russia. The study adopted questionnaire as a research method. The experimental study analysed the educational process of developing students' reading skills in senior classes at English lessons and detected the major difficulties for the students in the reading comprehension of media texts. Quantitative and qualitative data came from 135 English teachers of Murmansk and the Murmansk region (Russia). This study also focused on the problems of the use of English press and outlined the selection criteria for the online media and newspaper reading activities to be used in the English classroom. The results of the study clearly demonstrate that the use of online newspapers contributes to the development of students' critical thinking, and cognitive abilities at high school.
ConQUR: Mitigating Delusional Bias in Deep Q-Learning

Delusional bias is a fundamental source of error in approximate Q-learning. To date, the only techniques that explicitly address delusion require comprehensive search using tabular value estimates. In this paper, we develop efficient methods to mitigate delusional bias by training Q-approximators with labels that are with the underlying greedy policy class. We introduce a simple penalization scheme that encourages Q-labels used across training batches to remain (jointly) consistent with the expressible policy class. We also propose a search framework that allows multiple Q-approximators to be generated and tracked, thus mitigating the effect of premature (implicit) policy commitments. Experimental results demonstrate that these methods can improve the performance of Q-learning in a variety of Atari games, sometimes dramatically.
Unveiling the Data Shadow: A Scalable Software Architecture for Public Health and Electronically Assessed Data

In 2017, health expenditure in Norway amounted to 10,4 percent of GDP, and it increases by approx. 0,3 percent annually. Medical treatment and rehabilitation include treatment in hospitals, medical services, dental services, etc., and about half of Norway's health expenses are related to these services. In total, 97 percent of the budget is spent on treating disorders and support functions. Despite studies have shown that the greatest effect on health is within preventive health, only 3 percent of the Norwegian health expenses is used for that purpose. Computer-based technology is used to measure a large amount of health-related information as activity level, heartrate, sleep rhythms, eating habits, exercise habits and emotions. These large amounts of data collected by patients are available in electronic recording equipment and social media but are not shared with the physician or other healthcare professionals – in fact establishing a data shadow. The volume of data is massive, and health personnel do not know how to break the data down to sensible and usable information. This research project is founded in this perspective of preventive health and synthesizes available personal health information by utilizing commodity mobile and wearable hardware to gain a comprehensive insight into the health data shadow of an individual. This is further used to give individuals a fact-based awareness of own health and make informed choices, showcased through a persuasive technologies experiment, and secondly by a built prototype solution upon which health workers and medical doctors can be provided with a comprehensive, unfiltered data foundation to base diagnoses, treatment and council upon. Our major contribution is a proof of concept implementation and leveraging state of the art cloud based function as a service approach to build a scalable software architecture for a ubiquitous and heterogeneous environment harvesting the data shadow through activity tracking devices.
DO FOREIGN FINANCIAL INFLOWS IMPACT ON ECONOMIC GROWTH? EVIDENCE FROM SUB-SAHARAN AFRICA

The study examines the impact of financial inflows, proxied by Foreign Direct Investment, Official Development Assistance and remittances on Economics growth in Sub-Saharan Africa using the Generalized Method of Moments technique and panel data for 47 Sub Saharan African countries for the period 1995-2017, while controlling for domestic investment, human capital, government expenditure, trade openness, inflation, financial development, political rights and civil liberty. The results indicate that remittances and Foreign Direct Investment are growth-enhancing as they impact positively on economic growth consistent with Solow neoclassical model. However, Official Development Assistance reduces economic growth possibly as a result of weak institutional quality. While government expenditure, domestic investment and inflation positively impact on Economics growth, trade openness and Secondary School Enrolment had a negative impact on growth. We recommend countries in the sub-region to come up with policies that encourage Foreign Direct Investment and remittances inflow while ensuring that institutional structures are improved to ensure the efficiency of Official Development Assistance and the better allocation of such resources. Countries also need to focus more on internal sources of finance for government expenditure.
Organizing, Managing, and Parameterizing Queries

Producing a robust and efficient data query is not just about finding the appropriate load and transform functions and placing them in the correct sequence. It is also about extending, adjusting, and maintaining the process. This can be either to correct an error once the query is being tested or to adapt a query to new requirements. This chapter will introduce you to some of the techniques that you can apply to handle the various stages of the query lifecycle.
State Variable Effects in Graphical Event Models

Many real-world domains involve co-evolving relationships between events, such as meals and exercise, and time-varying random variables, such as a patient's blood glucose levels. In this paper, we propose a general framework for modeling joint temporal dynamics involving continuous time transitions of discrete state variables and irregular arrivals of events over the timeline. We show how conditional Markov processes (as represented by continuous time Bayesian networks) and multivariate point processes (as represented by graphical event models) are among various processes that are covered by the framework. We introduce and compare two simple and interpretable yet practical joint models within the framework with relevant baselines on simulated and real-world datasets, using a graph search algorithm for learning. The experiments highlight the importance of jointly modeling event arrivals and state variable transitions to better fit joint temporal datasets, and the framework opens up possibilities for models involving even more complex dynamics whenever suitable.
Spot and Adjust Filter: a New Image Filter for Image Enhancement and Noise Reduction

A new image filter, Spot &amp; Adjust filter, is proposed in this paper in order to remove noise from an image. It spots out the error pixels and recovers the intensity value using the absolute intensity difference and the average value of the local region. The performance of this filter is analyzed using seven types of image noise samples, which are Gaussian, Gamma, Rayleigh, Poisson, Salt and Pepper, Speckle and Uniform noise. Six types of image filters are analyzed in this work, including the Median, Minimum, Maximum, Arithmetic Mean, Geometric Mean, and Harmonic Mean filters. These image filters' performance is compared with the newly proposed filter in terms of Peak Signal to Noise Ratio (PSNR). The results have shown that the Spot &amp; Adjust filter has excellent performance, especially in tackling Poisson noise and Salt &amp; Pepper noise.