Reviewerly/exHarmony huggingface dataset:
2PPS -- Publish/Subscribe with Provable Privacy

Publish/Subscribe systems like Twitter and Reddit let users communicate with many recipients without requiring prior personal connections. The content that participants of these systems publish and subscribe to is typically public, but they may nevertheless wish to remain anonymous. While many existing systems allow users to omit explicit identifiers, they do not address the obvious privacy risks of being associated with content that may contain a wide range of sensitive information. We present 2PPS (Twice-Private Publish-Subscribe), the first pub/sub protocol to deliver strong provable privacy protection for both publishers and subscribers, leveraging Distributed Point Function-based secret sharing for publishing and Private Information Retrieval for subscribing. 2PPS does not require trust in other clients and its privacy guarantees hold as long as even a single honest server participant remains. Furthermore, it is scalable and delivers latency suitable for microblogging applications. A prototype implementation of 2PPS can handle 100,000 concurrent active clients with 5 seconds end-to-end latency and significantly lower bandwidth requirements than comparable systems.
Nature Inspired Algorithm Based Optimal Type-2 Fuzzy Controller With Real-Time Validation on Servo System

Performance of three well-known nature inspired algorithms like genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution algorithm (DE) towards selection for optimal input and output scaling factors of an interval type-2 fuzzy PID controller (IT2-FLC) is evaluated for servo position control system. Optimal values of the input and output scaling factors for IT2-FLC are obtained through minimization of the objective function designed involving controller performance indices – percentage overshoot, settling time and integral time absolute error. Simulation study along with real-time experimental validation reveal the superiority of differential evolution algorithm (DE) based optimal IT2-FLC in terms of robustness and lesser noise sensitivity compared to other optimal IT2-FLCs.
Adversarial Shade Generation and Training Text Recognition Algorithm that is Robust to Text in Brightness

In this work we present a framework for the recognition of natural scene text.Our framework does not require any human-labelled data, and performs word recognition on the whole image holistically, departing from the character based recognition systems of the past.The deep neural network models at the centre of this framework are trained solely on data produced by a synthetic text generation engine -synthetic data that is highly realistic and sufficient to replace real data, giving us infinite amounts of training data.This excess of data exposes new possibilities for word recognition models, and here we consider three models, each one "reading" words in a different way: via 90k-way dictionary encoding, character sequence encoding, and bag-of-N-grams encoding.In the scenarios of language based and completely unconstrained text recognition we greatly improve upon state-of-the-art performance on standard datasets, using our fast, simple machinery and requiring zero data-acquisition costs.
Impact of Whatsapp in improving learning among 9th semester MBBS students

Background: Interactive Teaching learning can be used in clinical subjects like surgery for better participation of students as one-way didactic lectures do not involve active participation of students. WhatsApp is one of the most famous messaging services which everyone use and it is easy, cheaper, and faster. Objective: the purpose of the study was to study the impact of whatsapp in improving learning in general surgery among 9th semester medical students. Methods: This study was conducted among 9th semester MBBS students in Surgery department. Students were divided into group a (study group) and group b(control group) by a simple random sampling. Gastric cancer was discussed among students of both Groups through didactic teaching. after didactic teaching, only Group A students were exposed to social media type of learning, i.e., using WhatsApp, after the session a multiple-choice questionnaire having 10 MCQs was given to both groups and an additional poll was conducted among the Study-group students to assess their perception towards Whatsapp intervention. the mean score obtained by both the groups were compared with unpaired t test. P-value &lt;0.05 is taken as statistically significant. Results: The mean (SD) score of the Study-group was 8.58(1.18) and the mean (SD) score of the Control-group was 5.41(1.32) and statistically significant difference was found between the two groups scores with a p-value less than 0.05 opinion poll found that the intervention of whatsapp among study group was effective. Conclusion: we observed that the usage of WhatsApp in addition to the didactic teaching was found advantageous and enhanced learning in undergraduate students
A Computational Linguistics-based Framework for Question Generation and Recommendation in E-Learning Systems

Technology has provided new ways for languages, cultures and the world to be represented, expressed and understood. Nowadays, e-learning is being used more intensively. New approaches are involved with innovative pedagogical tools. Various fields of research can help us provide a new framework for educational tasks. In this paper we use two main fields of research, namely computational linguists and recommender systems to propose a new framework for e-learning. The implemented framework can be used for language learners to improve their language skills in an interactive scenario which automatically generates new questions and recommends the best items to each uses.
Students’ Motivation in Learning English (A case Study at tenth grade of MAN 1 Cilegon)

Yuni Amalia. 161230158. Students’ Motivation in Learning English (A case Study at tenth grade of MAN 1 Cilegon). The paper of English Education Department at Faculty of Education and Teacher Treaining of State Islamic University Sultan Mulana Hasanudin Banten, 2019/2020.Motivation is a key concept to be success in learning. In line, this study tried to investigate students’ motivation in learning English, whether they had intrinsic or extrinsic motivation. The study was conducted at tenth grade of MAN 1 Cilegon. The sample of this study was 20 students from tenth grade. Furthermore, the instrument used to collect the data is questionnaire. The questionnaire consists of 20 questions in which question 1-10 are questions for intrinsic motivation and question 10-11 are questions for extrinsic motivation and also 10 open questionnaire to collect the information about the students’ motivation and the factors that influence students’ motivation in learning English. The result of this study shows that the total mean score of intrinsic motivation is higher than the total mean score of extrinsic motivation 3.92 ˃ 3.49. It means that students at tenth grade of MAN 1 Cilegon had higher intrinsic motivation than extrinsic motivation in learning English. In other words, the motivation to learn English that comes from inside students was bigger than the motivation comes from outside students.
Library Guides: ARTH 560 Methods: Session on Responsible Authorship, Spring, 2020: Digital Repositories & Libraries as Publishers

This is an outline of the major topics discussed in the session that includes links to additional information.
Collaborative Filtering Recommendation System through Sentiment Analysis

Purpose: In recent years, the advent of social networking sites has attracted more attention to review-based recommender systems. The purpose of developing such systems is to use the valuable information, which can be obtained from users’ textual reviews. This paper presents a collaborative filtering recommender system using sentiment analysis.Design / Methodology: For this purpose, a sample of 7210 comments about 221 books from Amazon website are used to sentiment analysis. We used ensemble models to extract users’ opinions. Weighted vote-based classifier ensemble technique is used for ensemble modeling. The required data were collected from Amazon.com through Web Crawlers in Java. The data were limited to Amazon users’ comments to specific book topics such as Business Intelligence. We applied different methods including text normalization and ensemble methods for doing the sentiment analysis.Finding: The results showed that sentiment analysis of user reviews has a positive effect on recommending popular goods by users and also on the performance of recommender systems.Practical Implication: These results show that with understanding the effect of sentiment analysis for analysis unstructured data , online retailers could use it for policy making and recommend new suggestion to their customers. Also this system helps consumers to make informed decisions.Originality/value: This study combines sentiment analysis and recommender systems and shows remarkable improvement in the performance of recommender system.
FAKE JOB RECRUITMENT DETECTION

To avoid fraudulent post for job in the internet, an application using machine learning based classification techniques is proposed in the project. Different classifiers are used for checking fraudulent post in the web and the results of those classifiers are compared for identifying the best employment scam detection model. It helps in detecting fake job posts from an enormous number of posts. Two major types of classifiers, such as single classifier and ensemble classifiers are considered for fraudulent job posts detection. However, experimental results indicate that ensemble classifiers are the best classification to detect scams over the single classifiers.
An Intelligent Recommendation-cum-Reminder System.

Intelligent recommendation and reminder systems are the need of the fast-pacing life. Current intelligent systems such as Siri, Google Assistant, Microsoft Cortona, etc., have limited capability. For example, if you want to wake up at 6 am because you have an upcoming trip, you have to set the alarm manually. Besides, these systems do not recommend or remind what else to carry, such as carrying an umbrella during a likely rain. The present work proposes a system that takes an email as input and returns a recommendation-cumreminder list. As a first step, we parse the emails, recognize the entities using named entity recognition (NER). In the second step, information retrieval over the web is done to identify nearby places, climatic conditions, etc. Imperative sentences from the reviews of all places are extracted and passed to the object extraction module. The main challenge lies in extracting the objects (items) of interest from the review. To solve it, a modified Machine Reading Comprehension-NER (MRC-NER) model is trained to tag objects of interest by formulating annotation rules as a query. The objects so found are recommended to the user one day in advance. The final reminder list of objects is pruned by our proposed model for tracking objects kept during the packing activity. Eventually, when the user leaves for the event/trip, an alert is sent containing the reminding list items. Our approach achieves superior performance compared to several baselines by as much as 30% on recall and 10% on precision.
Newmark’s Translation Procedures Dealing with Additional Information in the English Target Novels

Newmark’s translation procedures are provided to accommodate cases that cannot be managed by literal translation and out of 18 procedures, four of them; Descriptive Equivalent, Expansion, Paraphrase, and Notes, Additions, Glosses deal with additional information. The four procedures are found in the Indonesian novels translated into English. Using these Newmark’s four translation procedures, this research paper is to identify the existence of the four procedures in the target texts; how they appear in the target language text, in what linguistic forms and for what function. The novels as the data source are randomly selected and the data chosen are studied by comparing the length of words involved in the target text and in the source text. The results show that not all four procedures can be found in each target text; the linguistic forms of each procedure may sometimes be similar but the functions are uniquely characterized.
Will our Education System Enable India to be a Super-Power any Time Soon?

Many believe that India, with its high gross domestic product, can now nurture hopes of becoming a superpower. Whether or not one shares the yearning to be a super-power, the country should almost certainly have to have a knowledge-rich economy, if not a knowledgedriven one. And the education system has much to do with generating knowledge and nurturing the talent that produces and utilizes this knowledge. Let us therefore take a look at our education system, and the comments by thinkers elsewhere on education in general.
Testing image processing

This article is to test image processing for the following conditions: position=float normal tagging position=anchor with do-not-distribute image file extension provided in graphic name image f...
지속 가능한 선교 관점에서 본 한국선교 전략 고찰

Korean missionary work moved forward along with the growth of Korean churches and the economy. During the 19th century, Korea shifted from labor-intensive industries to manufacturing industries. Now, in Fourth Industrial Revolution, Korea is responding strategically to industries in all nations. Undoubtedly Korean churches grew significantly in the past few decades. However, the Korean missionary strategy sought to transplant the Korean pastoral method rather than establishing a missionary theology suitable for the site. It lacked collaboration and rejected funding in real estate for mission purposes. Problems remain despite the immens growth of Korea. Therefore, Korean missionary strategies to achieve sustainable missionary work in the New Normal era are contemplated in this study.
Differentiating Hand writing Tremor due to age and Forgery

Introduction:Corrugated lines are evidence of forgery-is a myth which is floating in almost every mind. Forensic document examiners when confronted with shaky line writings are likely to be more inclined towards identifying it as a case of forgery, which may not necessarily be true. Determining the causes for occurrence of such non-rhythmic handwritten strokes always impose a challenge for document experts. These irregularities can also be encountered in the handwritings of some genuine writers suffering from old age or having some health issues or due to illiteracy and many more. The main objective of this study is to highlight some specific characteristics differentiating the tremors seen in the handwriting of old age and fraud writers.
USF St. Petersburg Library: Data Literacy Teaching Toolkit: Data Literacy at USF

Instructional activities and resources for faculty who wish to teach data literacy skills and integrate data-related learning objectives into their courses.
The Survey of Marine Biotechnology Experts on the Governance of Marine Genetic Resources in ABNJ for Shaping National Strategies

The market of marine biotechnology is expanding at a rapid rate in Korea, which also brings an expansion of the web of domestic stakeholders. This expansion of domestic stakeholders has put the Korean government in a very difficult position in making decisions and shaping its strategy for the UN BBNJ Intergovernmental Conference. The government should be aware of changing opinions stemming from the structural changes and interests in the market Although the stakeholders’ opinion is crucial in establishing the government’s policy making, little study has been conducted on the effective way to utilizing experts survey on utilizing marine biotechnology experts opinion for building national strategy for international negotiations especially on the UN BBNJ Intergovernmental Conference. This study shows the survey results of marine biotechnolgy experts on the governance of marine genetic resource regarding the BBNJ negotiations. As a further step, the study proposes the way based on an approach to ‘transnational law’ to utilize the survey on the marine biotechnolgy experts to shape a national strategy for the UN BBNJ Intergovernmental Conference.
Case Commentary : State of Tamil Nadu vs Suhas Katti

This document contains the case comment on State of Tamil Nadu vs. Suhas Katti. The case is popularly known as “The Suhas Katti Case”. This case grabs limelight being the first case of conviction of cybercrime under IT Act and was decided in the year 2004. The case comment comprises of the introduction, background, analysis of the case under section 67 of the IT Act, cyber stalking, online evidence and further developments after the case. There are very important points in the case which makes it important in itself. The case further inspired many people to come forward and complain against cybercrime. The case is also important for the providing online evidence under section 65B of the Evidence Act for the first time. The IT Act and its execution, for this case, had a noteworthy effect and aided both the courts and general society as it sets a benchmark for the courts and inspired individuals and strengthened them to file complaints against the cyber harassment and defamation over the internet.
The Importance of Forensic Protocols with the Role of Forensic Experts and Sindh Police at Crime Scene: A Case of Sindh

The study was conducted specifically to examine the role of forensic experts and Sindh police in investigating various crimes in the Karachi and Hyderabad areas. Forensic science can use technical expertise to detect, identify and prosecute criminals. In Pakistan, the application and understanding of forensic science in law enforcement agencies is increasing. This research has been analyzed with the help of qualitative research methodology. When forensic experts were asked if forensic evidence in court is a comprehensive defense, it was found that about 93.3% has agreed on it, while 6.7% denied it. When police participants were asked if modern forensic techniques could give immediate results in any case, 58.8% agreed, while 41.2% refused. This signifies that 58.8% of police respondents have less forensic knowledge and acquaintance. The biggest obstacles are lack of funds and lack of trained personnel, equipment and laboratories. The future of forensic science in Sindh will depend on overcoming the barriers and strengthening capacity building and improvement.
Prediksi Kemunculan Titik Panas Di Lahan Gambut Provinsi Riau Menggunakan Long Short Term Memory

Indonesia is blessed with the largest and most diverse tropical forests in the world. Millions of Indonesians depend on these forests for their lives. But lately forest fires have become an international concern as an environmental and economic issue. One of the causes of the decline in the number of forests is forest fires. Forest fires produce high particle emissions which can endanger human health. For this reason, necessary precautions. One prevention that can be done is to predict the emergence of hotspots, especially in areas where forest fires are frequent. One way to reduce forest fires is to predict the emergence of hot spots on peatlands with the Long Short Term Memory (LSTM) method. This study predicts the emergence of hotspots in Riau Province over the next 6 months, from August 2019 to January 2020. LSTM is able to predict time series with RMSE 363.38.
PMO 의 역량이 프로젝트 성과에주는영향에 대한 연구 : SI 프로젝트 범위관리를 위한 ALM중심으로

To use the term success by maximizing the project performance, clear scope management, strengthening the maturity of the performing organization, Project portfolio management linked with corporate strategy must be effectively executed and effective. It defines as a type of PMO, the company performing the project trains its execution personnel according to the competence of the project management department, and the company may have a quality process methodology to perform. Also Defining scope is a process activity that define project requirements. This report analyzes the functions and roles of PMOs in influencing performance from a scope management perspective. In particular, we compared the cases in which manual management methods and methods of using tools effectively affect the success of a requirements management implementation, from requirements collection to definition and analysis specification activities and validation. Schedule, cost quality and functionality should be added to Application Lifecycle Management(ALM) from a holistic project management perspective, coordinated in this report, from a holistic project management perspective, with scopes built into WBS and coordinated in this report. This study determine the functions to be performed and the adjustment variables required for the PMO's functions and roles to have a detrimental effect on project performance.
FINANCIAL IMPROVEMENT AND THE ROLE OF THE CENTRAL BANK

Financial institutions are financial intermediaries in the process of transferring financial funds between participants in the financial system. The main participants in the financial system are: individuals, businesses, financial intermediaries and the government.Money owners are interested in investing their savings to make money. As compensation for this, they derive profits in various forms, such as interest, dividends, capital gains, etc. Borrowers also need additional financial funding to finance their investment or consumer programs. They are obliged to borrow those funds from financial institutions. For borrowed funds they pay a certain price to the lenders.With the mediation of financial institutions, it is possible to transfer financial funds from entities that have surpluses to entities that have a lack of financial funds, and at the same time need to provide them from external sources. Investment or consumption, if sufficient accumulation of the necessary financial funds was expected from own resources.The essence of financial intermediation lies in the collection of financial funds by many individuals and businesses that hold financial savings, and their investment in various forms. With the proclamation of the financial mediation process, we notice its multidimensional aspect, on the one hand as the collection of financial funds in various forms and their concentration, and on the other hand as investments of funds collected through various forms of loans to borrowers who need financial funding.Financial institutions do not only have the role of simple intermediation, because they also perform a whole set of analyzes and evaluations in the case of creating, providing and performing their services, both in terms of fundraising and concentration, and from aspect of potential investment of financial forms.In terms of fundraising, the analysis aims to assess the appropriateness of financial resources in terms of interest rate and term of use, while in terms of investing financial potential, the analysis aims to ascertain and determine economic reasonableness and financial financing of investment projects, and real opportunities for return on invested funds, together with a certain interest rate.Savings holders can also invest them directly in users who need financial support. They can also lend them to the government to finance additional budget spending programs. In the first case we are dealing with the issuance of shares and bonds by the company that need financial funds, and in the second with government bonds, through which the government provides financial funds to finance the budget deficit.In summary, financial institutions (financial intermediaries) enable the collection of financial savings of businesses and individuals, as well as their investment in various variable forms for the financing of development programs and commissions. By performing this function, financial institutions influence the optimization of economic-financial effects and increase the efficiency of micro and macroeconomic scales.