Reviewerly/exHarmony huggingface dataset:
Why India is an easy target for Cybercriminals

The proliferation of newly developed technologies is a boon to society. At the same time, it showed the way for new types of technological crimes, particularly cybercrimes. In recent years, cybercrime becomes one of the greatest threats to humanity. Safeguarding against cybercrime is a vital part of every government. Cybercrime could be originated from any part of the world, crossing the international boundaries over the internet resulting in damages to the governments, organizations, and public. The technical and legal complexities of investigating and prosecuting these crimes are the foremost task for law enforcement agencies. Cybercrime is the most common threat for financial markets. Cyber-attacks have already caused considerable damage to retail banking, mainly through payment card scams and cyber frauds. In India, the Information Technology Act and its associated Rules and Regulations deal with cybersecurity and cybercrimes. Other laws contain some of the provisions of cybersecurity protection are the Indian Penal Code 1860 (IPC), and the Companies (Management and Administration) Rules 2014. But none of these laws is a dedicated cybersecurity law. Some sector-specific regulations like the Reserve Bank of India (RBI), the Insurance Regulatory and Development Authority of India (IRDA), the Department of Telecommunication (DOT), and the Securities Exchange Board of India (SEBI) have mandated their respective entities to adhere to cybersecurity standards prescribed by the regulators. The long wait Data Protection Act with international perception is yet to be released. However, we need to fight against cyber criminals effectively to cope up with the international requirements. The salient purpose of this article is to find implementable solutions to curtail the growing menace of cybercrimes in India.
LibGuides: Copyright Guidelines: Copyright for Students

Learn more about copyright, Creative Commons licenses, and guidelines for using materials in class.
No-Regret Approximate Inference via Bayesian Optimisation

We consider Bayesian inference problems where the likelihood function is either expensive to evaluate or only available via noisy estimates. This setting encompasses application scenarios involving, for example, large datasets or models whose likelihood evaluations require expensive simulations. We formulate this problem within a Bayesian optimisation framework over a space of probability distributions and derive an upper confidence bound (UCB) algorithm to propose non-parametric distribution candidates. The algorithm is designed to minimise regret, which is defined as the Kullback-Leibler divergence with respect to the true posterior in this case. Equipped with a Gaussian process surrogate model, we show that the resulting UCB algorithm achieves asymptotically no regret. The method can be easily implemented as a batch Bayesian optimisation algorithm whose point evaluations are selected via Markov chain Monte Carlo. Experimental results demonstrate the method's performance on inference problems.
Distributed fusion estimation for sensor networks with Markov-based nonuniform samplings and multiplicative noise

The distributed fusion estimation problem is studied for multiple sensors networks with multiplicative noise and nonuniform samplings, where the nonuniform sampling process is modeled as a multi-state Markov chain. Based on the state augmented method, a multi-sensor single-rate system with Markovian jumping parameters is obtained. Further, local estimators are derived and a distributed covariance intersection fusion estimator is proposed, which avoids the computation of the estimation error cross-covanriance matrices between any two local estimators, thereby reducing the computaional cost.
Construction of the Blended Learning Mode of College English under the Background of “Internet Plus”

College English learning modes need to be innovated constantly under the background of “Internet plus”. The rapid development of network informatization has brought many challenges to college English teaching, resulting in the traditional learning mode difficult to meet students’ learning requirements. Thus, it is necessary to take the advantages of information network technology and innovate English learning modes of college students, so as to meet the urgent demand for English talents in China. The blended learning mode is the product of the rapid development of network information technology. Compared with the traditional learning mode, it shows better adaption to the development requirements of the “Internet plus” era, and brings a more remarkable learning efficiency. Therefore, the blended learning mode should be actively promoted in college English teaching.
An Interface for User-Centred Process and Correlation Between Large Datasets

Standard database query systems are designed to process data on a single installation only, and do not provide optimal solutions for cases that data from multiple sources need to be queried. In these cases, the sources may have different data schemata, data representations etc., necessitating extensive coding and data transformations to retrieve partial results and combine them to reach the desired outcome. Differences in schemata and representations may be subtle and remain unnoticed, leading to the production of erroneous results. The goal of this paper is to present an easy-to-use solution for the end users, enabling them to query data from a given set of databases through a single user interface. This user interface allows users to visualize database contents and query results, while facilities for uploading and validating the data are also accommodated. To demonstrate the applicability of our approach, a use case is presented where data from two different sources are uploaded into the system and thereafter the data from the two databases can be utilized in tandem. The usability evaluation involved software developers in free evaluation scenarios.
THE POLITENESS AND GESTURE STRATEGY STAFF IN FRONT OFFICE OF MEGALAND HOTEL SURAKARTA

The purpose of this research is : To know the mistake of politeness and gesture of front office staff of Megaland Hotel Solo when serving foreign guest. And to find out the problems affecting the faults by front office staff related to the use of English with foreign guests through an interview on WhatsApp Messenger. The Writing of this report is presented descriptively to obtain an overview of various information relating to the provision of services to hotel guests. methods of collecting and using documentation, direct observation, interviews and literature study are data from apprentices described in sentence form. The data obtained are then analyzed and presented descriptively. The results show that the front office department of Megaland Hotel Solo has a significant role in providing services to guests, as the front office department has direct contact and will give first and last impression to the upcoming guest. Internship results can be seen that the quality of front office staff services consisting of the speed of service, the accuracy of the service and the hospitality service has been well done by the hotel front desk staff, but it is better for the front office staff to master the correct English, polite and good gesture. especially for foreign guests interested in returning to stay at Megaland Hotel Solo.
On the Investment Credentials of Bitcoin: A Cross-Currency Perspective

Bitcoin has grown popular as a financial asset and outperformed all asset classes in the recent times. This paper examines the diversification capabilities of Bitcoin for a global portfolio consisting of investments across six major asset classes. Considering a sample period from July 2010 to January 2018, we perform portfolio optimisation using Modified CVaR and standard deviation as measures of risk. We employ three investment strategies namely ‘long-only’, ‘constrained’ & ‘equally-weighted’ to construct optimal portfolios denominated in five major currencies which dominate Bitcoin’s trading volumes. Results suggest that inclusion of Bitcoin leads to a proportionately higher increase in portfolio return than in portfolio risk for all currencies. We show that risk-adjusted returns of optimal portfolios including Bitcoin are significantly higher as compared to portfolios without Bitcoin across all investment strategies. The average weight of Bitcoin in the portfolios is high for all currencies due to low correlation of Bitcoin with other assets. Taken together, our findings suggest that Bitcoin is a valuable asset from the perspective of portfolio diversification. The study contributes to the literature on financial evaluation of Bitcoin by showing that diversification gains offered by Bitcoin are robust to various currencies, risk measures and investment strategies used to construct optimal global portfolios.
НЕЧЕТКО-МНОЖЕСТВЕННЫЙ РЕЙТИНГ ЭФФЕКТИВНОСТИ РЕСУРСОВ ЦИФРОВОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ

The article proposes a method for calculating complex numerical estimates of digital educational resources according to their importance and availability, the level of integration of the resource in the implementation of basic educational programs and characteristics that reflect the role of the resource in increasing the motivation of students. The normalization of indicators with their subsequent aggregation into complex numerical estimates is used to form estimates. Fuzzy linguistic variables are introduced, which allow distinguishing the level of complex assessments as markers of the effectiveness of digital educational resources based on quantitative indicators. The methodology is tested on 20 resources, the most widely used by educational institutions of the Khanty-Mansi Autonomous Okrug – Ugra. The calculated comprehensive assessment of each of the resources for three groups of indicators allowed building a rating of their effectiveness for educational institutions of the okrug.
Pelatihan Desain Grafis Bagi Santri Pondok Pesantren Pabelan

Pondok Pesantren Pabelan is an Islamic school, located in the village of Pabelan, Mungkid, Magelang, Central Java. Pondok Pesantren Pabelan teaches various skills for students. One of the skills that are being held is graphic design but it is constrained by the trainer who is not yet available so that the implementation has been limited to the efforts of each student in learning. This training program aims to meet students' knowledge and skills needs in the field of graphic design so that in the future students can use it for their needs and be implemented into the activities and needs of the pesantren. The activity begins with an introduction and briefing on the definition and use of graphic design in various aspects, followed by technical material then direct practice using graphic processing applications. In the final section, an evaluation is carried out to measure the level of practical ability of the students in using equipment and designing according to the provisions of the trainer, using variables of similarity in shape, dimensions, and layout.
Utilizing Cerlis Model in Improving Creative Writing Skills

The objectives of this paper were to identify the effectiveness of Cerlis Model in assisting teachers to improve students’ creative writing skills such as descriptive and imaginative essays and to analyze whether the model can improve students’ ways in expressing and organizing ideas in composing essays accurately. Samples consisted of 5 students from a primary school in Seremban, Negeri Sembilan. This study was conducted using a narrative qualitative approach through observation, questionnaire survey and document analysis and the results were reported using relevant tables, photos and visual graphics. The study focused among students that lack of ideas in producing creative essays such as descriptive and imaginative types. The results yielded that the Cerlis Model was able to create fun in learning and generate high confidence level in producing ideas for essay writing. Indeed, Cerlis Model is able to increase students’ interests in writing essays and their comprehension level. This study also shows that games are generating students’ ideas for composing descriptive and imaginative essays.
Comparing Markov and quantum random walk models of categorization decisions

Author(s): Epping, Gunnar; Busemeyer, Jerome | Abstract: Quantum probability theory has successfully provided accurate descriptions of behavior in decision making, and here we apply the same principles to two category learning tasks, one using overlapping, information-integration (II) categories and the other using overlapping, rule-based (RB) categories. Since II categories lack verbalizable descriptions, unlike RB categories, we assert that an II categorization decision is characterized by quantum probability theory, whereas an RB categorization decision is governed by classical probability theory. In our experiment, participants learn to categorize stimuli as members of either category S or K during an acquisition phase, and then rate the likelihood on a scale of 0 to 5 that a stimulus belongs to one category and subsequently perform the same rating for the other category during a transfer phase. With II categories but not RB ones, the quantum model notably outperforms an analogous Markov model and the order effects on likelihood ratings are significant.
Saliency-based deep blind image quality assessment

Assessing the quality of images is a challenging task. To achieve this goal, the images must be evaluated by a pool of subjects following a well-defined assessment protocol or an objective quality metric must be defined. In this contribution, an objective metric based on neural networks is proposed. The model takes into account the human vision system by computing a saliency map of the image under test. The system is based on two modules: the first one is trained using normalized distorted images. It learns the features from the original and the distorted images and the estimated saliency map. Furthermore, an estimate of the prediction error is performed. The second module (non-linear regression module) is trained with the available subjective scores. The performances of the proposed metric have been evaluated by using state of the art quality assessment datasets. The achieved results show the effectiveness of the proposed system in matching the subjective quality score.
The Effect Of Using Pictures On Students” Writing Ability By Tenth Grade Students’ Of SMK Swasta PAB 2 Helvetia Medan

This study aims to determine whether there is significant effect of using picture method on student writing descriptive text by the tenth grade of SMK Swasta PAB2 Helvetia Medan. For this research the researcher using experimental research with a quantitative approach. In this research the researcher take the data populations in SMK Swasta PAB2 Helvetia Medan. The total data of samples is 70 students, that is divided into two groups namely; experimental group consisting of 35 students (class X RPL-1) and control group consisting of 35 students(class XRPL-2). For the class experimental taught using the pictures while to for the class control taught using conventional techniques To measure the data research can be obtained using pre-test and post-test. For the test of pre-test given before there was an explanation about the subject matter and for the post-test gien after there was an explanations about the subject matter. Then, the instrument for the collect data is writing essay about example of descriptive text. To analyze the data the researcher used t-test. The significance value calculated 0.000 is smaller than 0,5 (P value= 0,000<0,05) so that the result of his calculations are;(1) the students’ ability in writing descriptive text by using picture method got the mean 75.82 and standard deviation was 6.86 (2) The students’ ability in writing descriptive text by using conventional strategy got the mean 52.11 and standard deviation was 8.95. The value of t observed was 4.551 and that of t table was 2.000. So the value of t observed was higher than that of t table . So it can be concluded that significant effect of using picture method on students’ ability in writing descriptive text.
THE INFLUENCE OF THINK TALK WRITE TOWARDS STUDENTS’ WRITING ABILITY IN DESCRIPTIVE TEXT AT TENTH CLASS OF SMK PELITA GEDONG TATAAN IN 2019/2020

The research was aimed to know the influence of Think Talk Write towards students’ writing ability in write descriptive text t. By applying this strategy, students were active and teaching learning process. The objective of the research was to know The Influence Think Talk Write Towards Students’ Writing Ability in Descrpitive text. In this research the writer used experimental method. The population research was 305 students in 8 class. The samples of the research were taken by using cluster random sampling technique. There were two classes for the sample. First class was X Office Administrationn (A) 1 as a the experimental class and the second class was X  Office Administration  (AP) 2 as a the control class. To analzed the data the writer used ttest. Based on the data analysis, the writer got the result Ha was accepted. It was obtained that ttest was 7.79, ttable for α= 0.05 was 1.67 and for α= 0.01 was 2.39 (3.72 > 1.67 ˂ 2.39). From the calculating above, there was positive  Influence of Think Talk Write towards students’ writing ability in descriptive text at the tenth class in SMK Pelita Gedong Tataan in 2019/2020. The average score of the experimental class was 64.5 and the control was 54.4.
How “open” are the conversations with open-domain chatbots? A proposal for Speech Event based evaluation

Open-domain chatbots are supposed to converse freely with humans without being restricted to a topic, task or domain. However, the boundaries and/or contents of open-domain conversations are not clear. To clarify the boundaries of “openness”, we conduct two studies: First, we classify the types of “speech events” encountered in a chatbot evaluation data set (i.e., Meena by Google) and find that these conversations mainly cover the “small talk” category and exclude the other speech event categories encountered in real life human-human communication. Second, we conduct a small-scale pilot study to generate online conversations covering a wider range of speech event categories between two humans vs. a human and a state-of-the-art chatbot (i.e., Blender by Facebook). A human evaluation of these generated conversations indicates a preference for human-human conversations, since the human-chatbot conversations lack coherence in most speech event categories. Based on these results, we suggest (a) using the term “small talk” instead of “open-domain” for the current chatbots which are not that “open” in terms of conversational abilities yet, and (b) revising the evaluation methods to test the chatbot conversations against other speech events.
MANUFACTURE OF CHEMFUN GAME BOARD LEARNING MEDIA IN SCIENCE LITERATION ORIENTED CHEMICAL BONDING MATERIALS

This study aims to analyze the results of the validation and describe the appearance of the board game learning media on chemical bonding material based on scientific literacy. This game board is expected to be a tool in learning about chemical bonding material which is then oriented to scientific literacy. Chemical bonding is an important concept that is to understand other topics in chemistry. This research method uses Design Based Research. The results of the validation of this game obtain data that this game is suitable for use as a learning medium with the validation test results of 0.86. So this shows that the learning media for the Chemfun board game of chemical bonds oriented to scientific literacy is valid to be developed in learning. The display of learning media for chemical bond chemfun board games, including questions and materials, which is equipped with pictures of chemical bonds oriented to scientific literacy, which contain aspects of context, content, process, and attitudes.
THE EFFECT OF LIBRARY FACILITIES, LIBRARY SERVICES, AND LIBRARY PERFORMANCE ON READING INTEREST OF CLASS XI STUDENTS OF SMKN 9 JAKARTA

This study aims to determine how library facilities, library services, and librarian performance on reading interest of class XI students of SMKN 9 Jakarta. The research was conducted for four months, starting from October to January 2021. The research method used was quantitative methods. The population in this study was a population of 100 class XI students of SMKN 9 Jakarta. The sampling technique uses the techniques of Proportional Random Sampling. Data were analyzed using IBM SPSS Statistics 23.0. From the results of this study, H1 shows that the library facilities variable has Tcount > Ttable amounting to 2.284> 1.984, so there is an influence between library facilities and reading interest. H2 offers that the library service variable has Tcount > Ttable amounting to 1,279 Ttable amounting to 0.935> 1.984, then there is no positive relationship between librarian performance and reading interest.
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning

We place an Indian Buffet process (IBP) prior over the structure of a Bayesian Neural Network (BNN), thus allowing the complexity of the BNN to increase and decrease automatically. We further extend this model such that the prior on the structure of each hidden layer is shared globally across all layers, using a Hierarchical-IBP (H-IBP). We apply this model to the problem of resource allocation in Continual Learning (CL) where new tasks occur and the network requires extra resources. Our model uses online variational inference with reparameterisation of the Bernoulli and Beta distributions, which constitute the IBP and H-IBP priors. As we automatically learn the number of weights in each layer of the BNN, overfitting and underfitting problems are largely overcome. We show empirically that our approach offers a competitive edge over existing methods in CL.
ANALISIS KINERJA INLISLITE V.3.1 SEBAGAI SARANA TEMU KEMBALI PERPUSTAKAAN KEMENTERIAN PANRB

This article discusses the performance analysis of INLISLite which is used in the Kementerian PANRB’s Library as a retrieval system. This article aims to identify the performance of the INLISLite used in the Kementerian PANRB’s Library. The approach used in this research is descriptive qualitative with participatory observation methods. Furthermore, the aspects analyzed in the object of this study are recall, precision, and response time from the INLISLite of the Kementerian PANRB’s Library. The results obtained by the recall value ranged from 0.928 to 1, while the precision value was in the range 0.76 to 1 which was obtained through a simple search. Additionally, the average response time obtained based on searching through collection titles is 0.206 seconds. Meanwhile, for tracing through the subject, the response time obtained was 0.214 seconds. Even though the system is quite effective, there are still shortcomings in terms of features such as the absence of live chat with librarians so that it does not provide alternative options for users to communicate.