Reviewerly/exHarmony huggingface dataset:
Using Feature Selection Methods to Discover Common Users’ Preferences for Online Recommender Systems

Recommender systems have taken over user’s choice to choose the items/services they want from online markets, where lots of merchandise is traded. Collaborative filtering-based recommender systems uses user opinions and preferences. Determination of commonly used attributes that influence preferences used for prediction and subsequent recommendation of unknown or new items to users is a significant objective while developing recommender engines. In conventional systems, study of user behavior to know their dis/like over items would be carried-out. In this paper, presents feature selection methods to mine such preferences through selection of high influencing attributes of the items. In machine learning, feature selection is used as a data pre-processing method but extended its use on this work to achieve two objectives; removal of redundant, uninformative features and for selecting formative, relevant features based on the response variable. The latter objective, was suggested to identify and determine the frequent and shared features that would be preferred mostly by marketplace online users as they express their preferences. The dataset used for experimentation and determination was synthetic dataset. The Jupyter Notebook™ using python was used to run the experiments. Results showed that given a number of formative features, there were those selected, with high influence to the response variable. Evidence showed that different feature selection methods resulted with different feature scores, and intrinsic method had the best overall results with 85% model accuracy. Selected features were used as frequently preferred attributes that influence users’ preferences.
Block Skim Transformer for Efficient Question Answering

Transformer-based encoder models have achieved promising results on natural language processing (NLP) tasks including question answering (QA). Different from sequence classification or language modeling tasks, hidden states at all positions are used for the final classification in QA. However, we do not always need all the context to answer the raised question. Following this idea, we proposed Block Skim Transformer (BST) to improve and accelerate the processing of transformer QA models. The key idea of BST is to identify the context that must be further processed and the blocks that could be safely discarded early on during inference. Critically, we learn such information from self-attention weights. As a result, the model hidden states are pruned at the sequence dimension, achieving significant inference speedup. We also show that such extra training optimization objection also improves model accuracy. As a plugin to the transformer-based QA models, BST is compatible with other model compression methods without changing existing network architectures. BST improves QA models' accuracies on different datasets and achieves 1.6× speedup on BERTlarge model.
Neoliberalism vs Islam, An analysis of Social Cost in case of USA and Saudi Arabia

Neoliberal principles are positively thought by hegemonic western countries as something beneficial to humanity and societies across the planet. This claim is in sharp contrast to the followers of Islam, who believes that more than 1400 years ago Islam already provided the best and everlasting ideology for the welfare of humanity. This study thoroughly investigated the claims of these contrasting ideologies. The hypothesis at the core of this endeavour is that neoliberal ideology is linearly associated with social costs, which can also be explained quantitatively as something associated with reduced standard of living. In order to investigate this hypothesis, USA and Saudi Arabia are selected as a sample. Besides analysing the previous literature, descriptive statistics from the most recent 2020 world Development Indicators are used for testing this hypothesis. Results indicates show that crime rate in the USA is higher than Saudi Arabia.
Relevance of Public Administrations: Visualization of Shifting Power Relations in Blockchain-Based Public Service Delivery

Power relations within the area of blockchain governance are complex by definition and a comprehensive analysis that links technological and institutional elements is missing to date.The research that is presented with this article focuses on the visualization of the shifting power relations with the introduction of blockchain.For this purpose, the analysis leverages an adjusted version of the multistakeholder influence mapping tool.The analysis considers the various stakeholders within the multilayered blockchain technology stack and compares three fundamental blockchain scenarios, including public and private blockchain settings.The findings show that public administrations face indeed less power with the introduction of blockchain, while new stakeholders come into play who wield influence rather uncontrolled.Nonetheless, public administrations are not powerless overall and remain influential stakeholders.This paper concludes that blockchain governance is not as democratic as blockchain enthusiasts tend to argue and derives corresponding opportunities for further research.
PENGARUH PARTISIPASI SISWA DALAM EKSTRAKURIKULER DAN KEAKTIFAN BELAJAR TERHADAP KEMAMPUAN KOMUNIKASI SISWA KELAS X OTOMATISASI DAN TATA KELOLA PERKANTORAN SMK NEGERI 6 SURAKARTA TAHUN AJARAN 2019/2020

ABSTRACT The objectives of this research are to know: (1) the effect of students' participation in extracurricular an d students' communication ability; (2) the effect of learning activeness and students' communication; (3) the effect of students' participation in extracurricular and learning activeness towards students' communication ability at the 10th grade of Automation and Administration Management of SMK Negeri 6 Surakarta in the academic year of 2019/2020. This research used quantitative method and proportional random sampling to take 85 students as sample from 108 total of population. The techniques for collecting the data were questionnaire and documentation. These data was analyzed using multiple linear regression . The result of the research showed that: (1) there was positive and significant correlation between students' participation in extracurricular and communication ability at the 10 th grade of Automation and Administration Management of SMK Negeri 6 Surakarta in academic year 2019/202 , (t obtained 9,680 > t table 2,050); (2) there was positive and significant correlation between learning activeness and communication ability at the 10 th grade of Automation and Administration Management of SMK Negeri 6 Surakarta in academic year 2019/2020, (t obtained 2,795 > t table 2,050); (3) there was positive and significant correlation between students' participation in extracurricular and learning activeness towards communication ability at the 10 th grade of Automation and Administration Management of SMK Negeri 6 Surakarta in academic year 2019/2020, (F obtained 69,413 > F table 3,11).
Virtual Home Assistants for People with Dysarthria

Many individuals with disabilities use virtual home assistants (VHAs) to communicate and execute daily tasks (Pradhan, Mehta & Findlater 2018).Because VHAs are controlled by verbal communication, some groups of users, including people with speech impairments, face barriers to effective interaction with VHAs.My research addresses the problems that individuals with speech impairments, specifically those with dysarthria, experience in interacting with these devices.I propose an alternate technique for interaction using nonverbal voice cues, such as humming, hissing and vowel sounds.The technique requires from the user only the ability to vocalise.
RELASI BUDAYA DALAM PENYEBARAN ISLAM DI BUMI WALI TUBAN

Tuban As a coastal area has become an important area for all the development of the archipelago's culture. This is partly due to the location of Tuban as a large port in the northern coastal area which is the main route for the entry of all outside cultures in the interior. So that the process of the spread of culture, especially Islam (Middle East), is in Indonesia, so the city of Tuban becomes important to study as the location of the beginning of the cultural scene.
Design and Analysis of Management Information System Qurban (SIMAQ) at PKPU Human Initiative, East Jakarta

The establishment of the Pos Keadilan Peduli Umat (PKPU) Human Initiative as one of the non-governmental institutions. Concentration on humanitarian issues should have a public service standard such as a SIM (Management Information System) the goal is to fulfill role processing needs in channel qurban with modern management where more days the number of donors is getting more increase so that requires management to improve service quality. Therefore the writer analyzed and designed the Qurban Management Information System at PKPU Jakarta East. The method used in Job Training (PKL) is Rapid Application Development (RAD) through the Requirement Planning and Workshop Design stages with modeling Unified Modeling Language (UML) so as to produce analysis and design of Information Systems Qurban Management (SIMAQ), from the results of street vendors the authors analyze and design include: integrate donor data management starting from collection transactions up to reporting on distribution or distribution of qurban animals, the author designs starting from the use case diagram that will explain the sequence of activities performed by actors and systems to achieve the system needed, such as identification of actors, identification of use cases , design of use cases and use case narratives , activity diagrams, sequence diagrams, and class diagrams . Display of the system user interface qurban management information based on the duties and authority of each actor.
Echo cardio graphic Signal Processing Using Wavelets

Various areas like image processing, data compression and time frequency spectral estimation where the Wavelet have been applied.This paper describes another application in the filed of echocardiographic signals from an ultrasound machine.There are two areas of signals from the ultrasound echos -the imaging and the Doppler signals from blood flow in the chambers.Wavelet functions are shown to characterize Ultrasound data in terms of oriented texture component better.It can decorrelate noncoherent speckle noise better in the frequency domain.To determine the velocities of blood particles, the Doppler shift signals, synchronously detected with the base Ultrasound frequency, and called the I and Q signals are obtained.Rather than using the present day technique of CFFT method, the use of Wavelet decomposition of the signals has been made, using standard orthogonal Mallet Wavelet series, for example.Due to the usefulness of the Wavelets in providing better time resolution, particularly adjacent to the opening and closing instants of heart valves, the spectrogram based on Wavelet coefficients was found to be able to give improved resolution of the profiles of the E & A waves as well as in the evaluation of the pressure half-time for assessment of stenosed heart valve's area.
과거에서 거울 찾기, 그 성과와 그늘 ― 주작인(周作人)의 공안파(公安派) 인식과 수용에 대한 검토

This study explores the aspects of accepting Gong-an School 公安派 in the late Ming Dynasty by Zhou Zuoren 周作人 in China’s modern times. Gong-an School was unearthed by Zhou Zuoren and regarded as the main source of modern literary movement. Since Zhou Zuoren pointed out Gong-an School played the role as dissenters to Former Seven and Later Seven Masters (qianhouqizi 前後七子) who had a tendency of reactionism, Gong-an School has been recognized as the epitome of an iconoclast. However, what they truly opposed was not the reactionism itself, but the tendency to plagiarize and follow the former phrases. In addition, they did not evenly evaluate on Later Seven Masters. In particular, Wang Shizhen 王世貞’s attention to the literature of Bai Juyi 白居易 and Su Shi 蘇軾 in his later years had indirect influence on Gong-an School’s deference toward the two masters. Also, the writers of Tang and Song period were admired by Gong-an School in terms of elite culture.In the proses of Zhou Zuoren and Yuan Hongdao 袁宏道, the attitude of calmness and easygoing (xianshi 閑適) in life was shared. In common, they spent their daily lives freely and were interested in things around them. On the other hand, there are differences between the two writers at the same time. Unlike showing the idea of ‘distinction’ in Yuan Hongdoa’s writings, Zhou Zuoren broke down the boundaries and noted the universality of human life. Furthermore, Zhou Zuoren, who led women’s liberation in modern times, infused self-reliance to the women figures in his writings
The Mediation of Campus Innovation On the Effects of E-Administration Towards Private University Students Satisfaction in Indonesia

The satisfaction of students towards private universities is paramount for the survival of the higher institute of education. Services provided by the universities largely determine the interests of students to join the institute. This study aims to find the effect of E-administration and campus innovation on student satisfaction in learning and the influence of campus innovation as a mediating variable on the relationship between E-administration and student satisfaction in private tertiary institutions in Indonesia. A total of 772 students comprise the population of this study, coming from five (5) Private Universities that have been accredited by Institutions in Sidoarjo Regency. This study utilises quantitative methods, where the incoming data is processed and analysed using WarpPLS. This study reveals that E-administration Campus and Innovation affect student satisfaction, while E-administration affects campus innovation. Besides, as a mediator, campus innovation weakens the influence of E-administration on student satisfaction of private tertiary institutions.
Enseñar es insistir en la vida

Commendation of teaching in times of crisis and pandemic. Against the returns to education, the art of teaching has established itself as a process of resistance and persistence. Education must return to the presence and affection.
Sistem Informasi Penjualan Berbasis Web pada UD Ragil Putra Empon

UD Ragil Putra Empon is a trading company that sells native Indonesian spices, such as turmeric, ginger, galangal, kencur, and tamarind. During the establishment of the UD Ragil Putra Empon trading company, the sales or marketing process still used a manual system by marketing products from one buyer to another, or selling their merchandise in traditional markets, so that the expansion of the marketing of this product was limited to only one area. This study aims to create a system that can function optimally in offering products, describing products, and making it easier for buyers to get an overview of a product and its benefits. The method used in this research is the System Development Life Cyle (SDLC) method with the waterfall model. The result of making this sales information system is to make it easier for consumers to find the latest information on the items they want to buy. A web-based sales information system can support the government in preventing the spread of Covid-19. Based on the black box test conducted on the system, it shows ten points in valid testing.
Cost-efficient SVRG with Arbitrary Sampling

We consider the problem of distributed optimization over a network, using a stochastic variance reduced gradient (SVRG) algorithm, where executing every iteration of the algorithm requires computation and exchange of gradients among network nodes. These tasks always consume network resources, including communication bandwidth and battery power, which we model as a general cost function. In this paper, we consider an SVRG algorithm with arbitrary sampling (SVRG-AS), where the nodes are sampled according to some distribution. We characterize the convergence of SVRG-AS, in terms of this distribution. We determine the distribution that minimizes the costs associated with running the algorithm, with provable convergence guarantees. We show that our approach can substantially outperform vanilla SVRG and its variants in terms of both convergence rate and total cost of running the algorithm. We then show how our approach can optimize the mini-batch size to address the tradeoff between low communication cost and fast convergence rate. Comprehensive theoretical and numerical analyses on real datasets reveal that our algorithm can significantly reduce the cost, especially in large and heterogeneous networks. Our results provide important practical insights for using machine learning over Internet-of-Things.
IMPLEMENTASI METODE FUZZY SUGENO UNTUK MENENTUKAN BESARAN DANA ANGGARAN PEMBUATAN ALAT PEMECAH BATU ATAU STONE CRUSHER PADA CV.PRAJI TEHNIK

Problems in the Selection of manpower during this time is done with a system that has not been computerized, so the process of selecting labor is slow. Often the error of the selection of candidates so that the workforce received less skilled and not in accordance with the wishes of the company. Design of a computerized decision support system Quality workforce using Fuzzy Weighted Product (F-WP) is expected to replace the old system. By using the criteria that are changed in the form of weight assessment so that the system can perform calculations that provide the speed of information in the form of a computerized system.  Decision support system provides results in the form of information printed in the form of reports containing data of prospective workers based on the highest value to the lowest value, thus providing convenience for companies to hire quality labor.
MARRIAGE CONFLICT IN PAULA HAWKINS’S THE GIRL ON THE TRAIN

The writers use qualitative research as the design in this study. The data are collected in the form of words and is present in the form of quotes or descriptions. The main source in the novel itself is The girl on the Train by Paula Hawkins, and secondary sources are other related documents such as relevant books, dictionaries, internet browsing, other literary works. In analyzing the data, the writers use objective approach. In brief, this concentrates on the work itself without considering the outer part of the novel such as the social background of the novel. This approach leads the writers to analyse the work only focusing on the work itself, in which how the interrelationship of the elements of the novel have built and formed. The result shows that the conflict occurred the first marriage conflict, and the second marriage conflict caused by the character of the novel The Girl On The Train by Paula Hawkin's namely Tom. A selfish husband who is never satisfied, while the characters involve so that the conflict occurred is Rachel former Tom's wife who could not give a child to Tom, Anna cheates Tom and becomes Tom’s wife and Megan Tom’s second affair. The first marriage conflict occurred between Tom and Rachel because Tom had an affair with the reason Rachel could not provide child. The second marriage conflict occurred between Tom and Anna.
EMPIRICAL EXAMINATION OF THE ADOPTION OF ZOOM SOFTWARE DURING COVID-19 PANDEMIC: ZOOM TAM

The novel corona virus disease 2019 (COVID - 2019) has spread across the globe The Covid19 pandemic situation has created a necessity of following a social distancing for the well-being of the people This requirement has actually supported innovative use of technology for conducting virtual meetings/lectures The purpose of this paper is to develop an integrated model of adoption of Zoom platform by the faculties for conducting the virtual meeting/lectures in education institutes during the current Covid19 pandemic situation Total 125 responses were collected through google form and this phenomenon is explored by Partial Least Square Structure Equation Modelling (PLS-SEM) in SmartPLS version 3 3 2 Results of the survey were examined to determine the degree to which the technology acceptance model was able to explain the faculties’ acceptance of web-based learning system for conducting classes The conceptual model for this study was developed on the basis of Technology Acceptance Model (TAM) and two external variables were incorporating in the model The research results illuminate the factors that explain and predict the faculties’ adoption of Zoom software for conducting online classes in this pandemic era Total seven hypotheses were found to be significant except one The findings included that faculties’ adoption of Zoom software for virtual classes influenced by environmental concern of the institute and society in the Covid-19 pandemic time Environmental concern of the faculties is a stronger predictor of attitude of faculties towards such technology © 2020 All Rights Reserved
Online Shaming via Social Media using Machine Learning: A Survey

Social network sites involve billions of users around the world wide. User interactions with these social sites, like twitter have tremendous and occasionally undesirable impact implications for daily life. The major social networking sites have become a target platform for users to disperse a large amount of irrelevant and unwanted information. Twitter, it has become one of the most extravagant platforms of all time and, most popular micro blogging services which is generally used to share unreasonable amount of opinions. In this proposed work automate the task of public shaming detection in Twitter. Shaming tweets are categorized into nine types: abusive, comparison, passing judgment, religious, jokes on personal issues, vulgar, spam, non-spam, whataboutery and each tweet is classified into one of these types or as non-shaming. It is observed that out of all theparticipating users who post comments in a particular event, majority of them are likely to humiliate the victim.Interestingly, it is also the shaming whose follower counts increase faster than that of the non-shaming in Twitter.
TikTok as a governmental communication strategy for building trust

Acknowledging the importance of government communication and government trust, this study aims to investigate how a government organisation can utilize a social media platform such as TikTok to develop and maintain a high level of public trust and build strong, long-lasting relationships with its citizens. The Chinese Public Security Bureau's (PSB) TikTok communication strategy was chosen as the foundation of this study which employs a combination of netnography and interview research methods. Social capital theory was implemented to explain the components referring to trust building and social exchange theory was applied to analyze citizens' perception explicitly. Results indicate that transparency, efficiency & effectiveness, innovation and cooperation are four elements that refer to the trust building strategy in the Chinese PSB's communication on TikTok, and the citizens' reactions showed a positive attitude to it. Thus, the research provides empirical material and knowledge to the strategic communication field, and it also offers relevant communication suggestions to governments. (Less)
Transitioning to the next generation of metadata: key trends in context

This presentation covers key trends that shape the current transition to what we call the next generation of metadata, and then provides concrete examples for each of those from a very specific national context, to illustrate those trends.