Reviewerly/exHarmony huggingface dataset:
Locally Private k-Means Clustering

We design a new algorithm for the Euclidean $k$-means problem that operates in the local model of differential privacy. Unlike in the non-private literature, differentially private algorithms for the $k$-means incur both additive and multiplicative errors. Our algorithm significantly reduces the additive error while keeping the multiplicative error the same as in previous state-of-the-art results. Specifically, on a database of size $n$, our algorithm guarantees $O(1)$ multiplicative error and $\approx n^{1/2+a}$ additive error for an arbitrarily small constant $a$, whereas all previous algorithms in the local model on had additive error $\approx n^{2/3+a}$. We give a simple lower bound showing that additive error of $\approx\sqrt{n}$ is necessary for $k$-means algorithms in the local model (at least for algorithms with a constant number of interaction rounds, which is the setting we consider in this paper).
Science: Newton Versus Einstein

The Scientific Revolution matured in the seventeenth century through Newton’s science, which has continued into the beginning of the twenty-first century, in which the entire scientific community still follows the mechanical universe approach. However, this first scientific enlightenment continues to linger despite an avalanche of discoveries of the laws of nature. Science inevitably needs the second scientific enlightenment, Einstein’s science of principle theory and the cosmos, to transform itself. In this paper, we first describe the Scientific Revolution thus far. We then apply the second scientific enlightenment to examine the first one currently practiced in elementary particle physics and cosmology. Finally, we use our two new discoveries in Einstein’s science, the success/failure system and cosmic inertia, to elucidate and declare the second scientific enlightenment. This paper is our sober reflection on science and on our progressive learning of Einstein’s science, which we have set out in earlier papers that we suggest examining before studying this paper.
Impact of Blockchain on Financial Technology – Challenges and Strategies

Blockchain is one of the most important technologies that is revolutionizing the Financial Technology (FinTech) industry. As the blockchain adoption rate increases in the Banking and FinTech industry, it is very important for the financial institutions to understand the challenges posed by this emerging technology and enhance their risk taxonomy and controls framework to inculcate new and relevant controls in their Business, Organizational, and Information Systems Strategy. Blockchain has and will continue to be a major disrupter in the FinTech industry with applications including and not limited to Smart Contracts, Digital Payments, Investment Banking, Capital Markets, Trading, Clearing and settlement of trades, and many more. Along with highlighting the applications of blockchain in the FinTech industry, the paper further discusses the challenges and corresponding mitigation strategies in some of the most relevant domains in the blockchain and FinTech industry like security, scalability, legal and regulatory, technology development, and cyber risks.
ENT 530 Social Media Portfolio: SZ Keropok Lekor / Muhammad Syafiq Muhammad Zakri

On this subject, we are required to do an individual project on which we have to promote and sell a product using Facebook as the platform. In this report, provides the full analysis of this particular assignment. The first part of the report provides background information such as organizational chart, products description and others information related about the business and the product selected. The name of the business selected is SZ Keropok Lekor.and the products line is Keropok Lekor, Keropok Keping, and Sos Cicah. For the Facebook platform, I have created a Facebook page for this particular business to promote our products. Other than that, this report provides the screenshot all of the posting required to post in the SZ Keropok Lekor Facebook page. The post required are hard sell, soft sell, teaser and frequency. For hard sell we are required to post with a minimum of 16 posts per semester. Next, for soft sell the required minimum post is also 16 posts per semester. For teaser we are required to post at least 7 posting and the frequency post is 16 per months. The postings posts required a specific technique of copywriting in order to attract more people engage with the post. The use of the required copywriting technique can be seen at the picture of screenshot post in this report. The technique is fully applied on every posting made in the Facebook page.
The implementation of scaffolding technique to improve students’ writing skill

Scaffolding is a technique that help the students to improve their ability by giving them aids or supports through five basic steps of this technique consisted of intentionality, appropriatenes, structure, collaboration and internalization. The scaffolding technique was applied in order to improve the students’ ability in writing skill. This study was conducted on the fifth semester students of IAIN Palopo by applying classroom action research. The data and the source data of this study was all of the students in English department. The result of this study showed that there increasing points from cycle I and the cycle II. The first cycle showed that two students obtained good score (13.3%) and 14 students obtained poor score (86.7%) which the mean score was 61.8. in the second cycle there was a development wherein 10 students obtained good score (66.7%) and five students where in fair score (33.3%) which the mean score was 75. The difference between two cycles was on the improvement of given support or appropriate scaffolding to the students. The five steps of scaffolding technique did not mean to help students from the beginning until finishing the works but to give them a guidance where the certain parts still have difficulty to solve.
New Wavelet Method For Solving Partial Differential Equations

In this paper a new wavelet formula is derived based on the definition of the convolution between the Haar and CAS wavelets, while finding the integrals of the proposed formula analytically. An outline of the proposed method is written with the collocation points for solving partial differential equations. From the comparison of the numerical results of the proposed methods with the exact solution to solve three problems, we concluded that the suggested method is more accurate, better, and nearer to an exact solution.
Case Study : Siti Binti Dahlan Enterprise / Norhijrah Che Mohamed Nizam

This study important to gives a chance to learn the details of the company which is Siti Bt Dahlan Enterprise. The purpose of rempeyek business being chosen and the main reason to improve the business’s problem can be known in this case study.The next part of the case study involves the detailed subject study. The objective need to work based on background, organizational structure, product description and technology that Kak Siti Rempeyek business offers. Thus, there are many chances to study about rempeyek as well as in business, marketing and operational strategy.Furthermore, the SWOT analysis is used which is the strength, weakness, opportunities and threats of the company in real business. Furthermore, based on demand and needs from customers in this business, the solution and recommendation have been analysed to make rempeyek as a good product.
LibGuides: Online Teaching & Design Resources for Fall 2020: Publishers and Media Resources

This guide is for MCU faculty to support them in designing and redeveloping their fall 2020 courses. This guide will provide literature , resources, and other tools to use.
Optimization path of county Level Industries under the Background of National Park Establishing: A Case Study of Baoxing County, Sichuan Province

Under the background of establishing the protected natural area system with national parks as the main body, it is urgent to deal with the balance between the scientific protection of natural ecosystems and the economic development of surrounding communities. Taking the county industry development as the research object, we took Baoxing County, Sichuan Province, a typical county in the Giant Panda National Park, as an example to analyze the impact of national park establishment on the economic development and farmers’ livelihood in the county, then proposed the optimization path of county level industries and policy advices. Results showed that the industries highly dependent on the natural resources would be replaced by ecological agriculture with recycle system and ecological tourism, natural education and so on. We suggest that policy supports should be focused on optimizing the policy environment, improving coordinate mechanism, enhancing infrastructure, increasing investment and financial support and providing technical guidance.
IMPROVING STUDENTS’ VOCABULARY MASTERY THROUGH MAKE A MATCH TECHNIQUE TO THE SEVENTH GRADERS OF SMP NEGERI 40 PALEMBANG

Vocabulary is learned through focused, conscious study, but even more commonly in an indirect manner through listening, reading and using context clues to figure out the meaning. However, this kind of incidental learning is only possible if the amount of unknown words remains low. The purpose of this study was to find out whether or not Make a Match technique was effective to improve students’ vocabulary mastery. In conducting this study, the researchers used quasi experimental research design. Test was used as the technique for collecting data. The data were analyzed by using paired and independent sample t-test. The population was all the seventh graders of SMP Negeri 40 Palembang in the academic 2019/2020. The researchers used purposive sampling technique and took the classes of VII.9 and VII.10 as the sample of the study. The result showed that make a match was effective to improve students’ vocabulary mastery. It was found that the value of t-obtained was higher than the critical value of r-table or the t-obtained was 6.998 then t-table was 1.999. Based on the result of the analysis, it is claimed that make a match technique was effective to improve students’ vocabulary mastery to the seventh graders of SMP Negeri 40 Palembang. Keywords: Make a match technique, vocabulary mastery
The practical significance of machine translation in linguistics

The rapid increase in information on the basis of geometric progression has led to the need for systems that allow them to be quickly translated into other languages.  In response, practical research in the field of machine translation or automatic translation began to be created.
Heterogeneous Cross Project Defect Prediction in Software

Software defect prediction is one of the software engineering's most active research fields. Most of the existing work focuses on Homogeneous Cross Project Defect Prediction (CPDP), in which the model is trained by the use of a common metric set extracted from the source and target project. Our article emphasizes the heterogeneous CPDP modeling (HCPDP) that develops a defect prediction model based on a metric choice and metric matching strategy and also shows a comparable value distribution for a specified couple of datasets. It assesses experimentally and theoretically HCPDP modeling whose three primary elements include feature ranking and feature selection, metric matching an binary classification of unlabeled target instances. Results indicate that feature selection techniques have a very tiny effect on the performance of defect prediction, and the Gradient Boosting classification system provides the highest findings when used in combination with the Pearson Correlation technique compared to other classifiers used.
Automatic Classification of mechanical vibration patterns in rotating machinery affected by unbalance

In this paper, we present an algorithm for automatic classification of vibration patterns on rotating machinery affected by unbalance from spectral analysis. We developed this algorithm using case-based reasoning and various descriptors. The raised descriptors were: The root mean square value (RMS), the energy of Fourier spectra, the Higher Order frequency moments and the maximum value of the Fourier spectra. The job was to induce imbalance to a universal motor, taking the vibration signal in time domain by 3300 XL 8mm Proximity sensors and through a data acquisition card NI USB 6008, bringing data to the computer where we implemented a virtual instrument for capturing data and its subsequent transformation to obtain frequency spectrum. Consequently, we developed the algorithm in Matlab to automatically identify the imbalance present in the machine, using the technique of case-based reasoning, based on the calculation of the descriptors and the application of these within the algorithm implemented using the Euclidean distance as part of the decision mechanism among patterns without unbalancing vibration. The results show the RMS as the best performing descriptor for classification showed.
Developing the English Teaching Materials to Improve the Students’ Speaking Skills (Case Study at Private MTs Jepara)

This study aims to produce a product in the form of English learning textbooks to improve skills speaking, describe the design and implementation of English teaching materials that have been developed to improve speaking skills, describe the effectiveness of developing English teaching materials to improve speaking skills. This research includes the type of research and development (R&D) with stages, namely theoretical and practical studies, field studies, analysis of student and teacher needs, preparation of prototypes, expert tests, prototype revisions, limited trials, evaluations, and revisions of learning models. The population and sample of the study consisted of 40 students of class VIII MTs Walisongo Jepara. Collecting data using the method of observation, interviews, and literature study. This research focuses on the process of learning English for class VIII with the development of teaching materials as media used in English lessons. This research uses the qualitative data analysis method with data reduction, data presentation, conclusion or verification. The results of the study indicate that the design of developing English teaching materials to improve speaking skills is based on the principles of developing teaching materials which include accuracy of coverage and accuracy of content, completeness of components, presentation of language, and appropriate illustrations. The implementation of teaching materials was carried out 4 times in a limited trial. The development of English teaching materials to improve speaking skills was declared effective with an increase in students’ speaking skills in the psychomotor aspect with a mean pretest score of 73, and post-test 91, with an increase in N-Gain of 0.66 in the medium category.
An Improved Ant Colony Optimization Algorithm for Scheduling in Cloud Computing Environment

Cloud computing is a model for delivering, hosting and accessing shared pool of resources and services over the internet in on-demand, self-service, dynamically scalable and metered manner. Scheduling access to cloud resources is a topic of interest to both researchers and IT community. Several approaches have been proposed from the traditional methods to those that are exhaustive in nature. However, Cloud task scheduling is an NP-hard optimization problem, and can break down deterministic or exhaustive approaches with the increase in the number of variables to be optimized. Recently there is has been attempt to use meta-heuristic algorithm for scheduling in cloud computing. These include Genetic Algorithms (GA), Particle Swamp Optimization (PSO), Ant Colony Optimization Algorithm (ACO) and other nature inspired algorithms. The algorithms offer NP-hard problems global solutions acceptable in time frame proportional to the number of variables to be optimized. We use ACO algorithm for scheduling in cloud computing environment. Load balancing is added into the algorithm to prevent the algorithm from falling into local minima. A comparison with (43) shows that the proposed algorithm achieved 51.95% in makespan. However, the compared work is better than this work in the average running time by 86.50%.
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks

We present a continual learning approach for generative adversarial networks (GANs), by designing and leveraging parameter-efficient feature map transformations. Our approach is based on learning a set of global and task-specific parameters. The global parameters are fixed across tasks whereas the task-specific parameters act as local adapters for each task, and help in efficiently obtaining task-specific feature maps. Moreover, we propose an element-wise addition of residual bias in the transformed feature space, which further helps stabilize GAN training in such settings. Our approach also leverages task similarity information based on the Fisher information matrix. Leveraging this knowledge from previous tasks significantly improves the model performance. In addition, the similarity measure also helps reduce the parameter growth in continual adaptation and helps to learn a compact model. In contrast to the recent approaches for continually-learned GANs, the proposed approach provides a memory-efficient way to perform effective continual data generation. Through extensive experiments on challenging and diverse datasets, we show that the feature-map-transformation approach outperforms state-of-the-art methods for continually-learned GANs, with substantially fewer parameters. The proposed method generates high-quality samples that can also improve the generative-replay-based continual learning for discriminative tasks.
Analysis and Transformation of Constrained Horn Clauses for Program Verification

This paper surveys recent work on applying analysis and transformation techniques that originate in the field of constraint logic programming (CLP) to the problem of verifying software systems. We present specialisation-based techniques for translating verification problems for different programming languages, and in general software systems, into satisfiability problems for constrained Horn clauses (CHCs), a term that has become popular in the verification field to refer to CLP programs. Then, we describe static analysis techniques for CHCs that may be used for inferring relevant program properties, such as loop invariants. We also give an overview of some transformation techniques based on specialisation and fold/unfold rules, which are useful for improving the effectiveness of CHC satisfiability tools. Finally, we discuss future developments in applying these techniques.
PatRec: A Mobile Game for Learning Social Haptic Communication

Social Haptic Communication (SHC) is one of the many tactile modes of communication used by persons with deafblindness to access information about their surroundings. SHC usually involves an interpreter executing finger and hand signs on the back of a person with multi-sensory disabilities. Learning SHC, however, can become challenging and time-consuming, particularly to those who experience deafblindness later in life. In this work, we present PatRec: a mobile game for learning SHC concepts. PatRec is a multiple-choice quiz game connected to a chair interface that contains a 3x3 array of vibration motors emulating different SHC signs. Players collect scores and badges whenever they guess the right SHC vibration pattern, leading to continuous engagement and a better position on a leaderboard. The game is also meant for family members to learn SHC. We report the technical implementation of PatRec and the findings from a user evaluation.
Biometric E-Voting With Multi Factor Authentication Using Iot Technology

In India, which is one of the world's largest democracies, honest election methods are beset by problems such as booth capturing, rigging, pretend preference, and tampering with Electronic Voting Machines (EVMs), among others. The voting system is electronic, which removes the use of ballot paper to cast votes in elections because it is extremely time consuming and prone to errors. would possibly hit the system unknowingly or accidentally. The most downside in those methods is that the voter’s identity is victimized and additionally the count of non-voters will increase. Our main objective is to create a biometric e-voting system which is necessary to overcome the problems and difficulties of the normal voting methods such as EVM (Electronic Voting Machine) and traditional voting system. The proposed method of voting uses the voter's biometrics (fingerprint) and a physical key (RFID) to cast the ballot, as well as the ability to capture the voter's picture during the voting process. The voting information, including voting time and date, is securely stored on the server, and the voting results can be published instantly using this process.
A Sistem Penunjang Keputusan dengan Metode AHP Dalam Strategi Pemasaran Travel Umroh dan Haji Pada PT Jabal Rahmah

This study discusses the decision support system in the marketing strategy of Umrah and Hajj travel used at PT. Jabal Rahmah Travel Hajj and Umrah, as a company engaged in tourism and a bureau for Umrah and Hajj travel services. In Umrah and Hajj Travel, it has a decision support system which is a system that is able to provide data management functions based on a certain model regarding decision making about the use of communication media that is easy to use and is of interest to the public to obtain information about Umrah and Hajj travel at PT. Rahmah, so that we can recruit pilgrims who want to carry out the pilgrimage and Umrah pilgrimage clearly and in detail. PT. Jabal Rahmah himself has a marketing strategy through 3 communication media, namely through print media such as brochures, social media such as WhatsApp, Facebook, Instagram and which are in great demand through direct marketing such as conducting seminars or even directly meeting influential religious leaders in the surrounding environment and can communicate directly to society. From the application of the concept of marketing strategy used by PT. Jabal Rahmah decision making is done using the Analytical Hierarchy Process (AHP) method. Where this measurement method is used as a ratio scale to take an efficient and effective decision in an effort to offer products and services. So that prospective pilgrims can make decisions about the process steps they will decide at PT. Jabal Rahmah. This study aims to discuss the marketing strategy carried out by PT. Jabal Rahmah uses the Analytical Hierarchy Process (AHP) method to get priority results which are mostly done in marketing to the public.
A REVIEW PAPER ON MULTIPLE-PICTURE ENCRYPTION ALGORITHMS

This paper presents a new multiple-image encryption (MIE) algorithm based on the mixed image element and permutation, which can simultaneously encrypt any number of images, to enhance encryption efficiency and facilitate the secure transmission of multiple digital images by defining the pure image element and mixed image element. First, segment the original images into pure image elements; second, scramble all the pure image elements with the permutation produced by the piecewise linear chaotic map (PWLCM) system; third, combine mixed image elements into scrambled images; last, diffuse the content of mixed image elements by performing the exclusive OR (XOR) operation between scrambled images and the chaotic image g There is a comparison of two related algorithms. Experimental results and algorithm analyses show that the proposed MIE algorithm is very simple and efficient, which is suitable for practical image encryption.