Reviewerly/exHarmony huggingface dataset:
How Conversational Agents are Helping to Take Medications: Studying Reviews of Amazon Echo

Smart speakers, such as the Amazon Echo and Google Home, have been referred to as conversational agents embodied in smart speakers (CAeSS) since they assist users through a more natural and intuitive spoken interaction than the initial prototypes, which used strict keywords. For older adults in particular, studies have discovered that they are receptive to the use of speech to interact with technology, as this modality reduces the complexity of the system-human interaction, and so, they seem to offer an appropriate interaction mode for adults with chronic diseases adopt them. Our study aims to understand how CAeSS are used to support managing medication, especially by older adults, for this reason we conducted an exploratory study of 638 opinions made online by users of different versions of Amazon Echo that mentioned using them for their medication. The CAeSS are being used primarily to support behavioral strategies based on reminders for taking medications, indicated in 617 opinions (96.7%), moreover, to a lesser extent, they are used to support educational strategies, which include knowing more about their prescription regimens, reported in 5 opinions (0.9%). The results indicate that these devices are being widely adopted to support managing medication, as they are perceived as useful and easy to use by both patients and their families caregiver.
Withdrawal Notice: Implementation of Rock Paper Scissor Game using Convolutional Neural Network in Python with TensorFlow

The article has been withdrawn at the request of the editor of the journal International Journal of Sensors, Wireless Communications and Control due to incoherent content. Bentham Science apologizes to the readers of the journal for any inconvenience this may caused. The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php Bentham Science Disclaimer: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.
Digital skills and complex thinking in engineering students of a particular university in Lima in times of pandemic

This article focuses on the relationship of digital skills and complex thinking in engineering students from a private university in Lima, Peru. A non-experimental, descriptive, correlational, cross-sectional quantitative study was carried out. The sample consisted of 175 engineering students who were administered the questionnaires developed in Google Forms for digital skills and the complex XXI scale to measure complex thinking with reliability values of .965 and .941 respectively for the alpha of Cronbach. The descriptive results showed that 48% of the respondents were found at the medium level of digital skills and that in the case of complex thinking there was a significant tie between the medium and high levels (approximately 41%). It was concluded that there was a strong and positive correlation between digital skills and complex thinking (Pearson's correlation = .759). In addition, four dimensions of digital literacy were evaluated (information management, communication management, wearable technology management and organizational aspects) which showed a positive and moderate relationship with complex thinking.
Study of Various Supervised Classification for Imbalanced Healthcare Data

Since the last few decades, a class imbalance has been one of the most difficult problems in various fields, consisting of data mining and system studying. In clinical records classification, it regularly faces the imbalanced wide variety of records samples wherein at the least one of the classes constitutes simplest a completely small minority of the information. In the equal time, it represents a difficult problem in maximum of gadget getting to know algorithms. There were many works managing classification of imbalanced dataset. . In medical diagnosis studies, Imbalanced Classification is a not unusual project. For nearly any sickness, a scientific laboratory has greater patients now not having rather than having it. Disease prediction can be implemented to specific domain names including threat control, tailored fitness conversation and decision support structures. Several system studying strategies have been implemented to healthcare data sets for the prediction of destiny fitness care usage such as predicting character costs and disease risks for sufferers. The classification problem for imbalance records is paid greater interest to. So some distance, many giant techniques are proposed and applied to many fields. But more green methods are wished still. In this paper, an expansion of classification methods is compared inside the problem domain class imbalanced clinical information.
Identification of Pose Gesture of Serving in Volleyball and three pointer shot in Basketball using Baysian classification&amp; Image Edge Feature Extraction

This paper addresses pose gesture from image sequences by converting them as classification problem.The first step of this work consist of a method to Extract edge features of image and classify images using optimum(bayes) statistical classifier method.We label the extracted data by viewpoints and actions.Next we define classes.Pose detection is based on optimum (bayes) statistical classifier method.We input data using CNN for image for grayscales conversion, smoothening of resultant image.Our proposed work gives results about the difference between pose detected during training and expected pose.
Graphic user interface based implementation of longest common subsequence problem in DNA sequencing

One of the oldest problems in computational biology is biological sequences in which similar portion of two DNA sequence is searched. Global alignment is designed for the same and Longest Common Subsequence (LCS), one of the most basic algorithms in the field of computer science, provides the best solution global alignment irrespective of the shape of its input sequences. The Longest common Subsequence problem with a variable number of strings is variable and strictly more than 2 is known as Multiple Longest Common Subsequence problem (MLCS) and it is an NP-hard problem. Dynamic Programming Algorithm can be employed to solve the same within polynomial time provided the number of strings is known. In this work, using python GUI-library tkinter, the GUI has been built with the code of the LCS problem embedded within the GUI application. This would not only help to see how the strings are being matched inside the program but also the way the optimal solution is produced.
DOES RUSSIA NEED INDEPENDENT UNIVERSITIES? NON-STATE EDUCATION: MYTHS AND REALITY (PART 1)

The article considers the system of measures for the transformation of the educational space of Russia related to the development of non-state education. In part 1, the features of the genesis of the non-state segment of education in Russia are analyzed, its potential advantages and limitations are noted. The widespread «myths» about non-state education are considered in detail, an objective characteristic of its current state is given. In part 2, the proposals of the further integration of the non-state segment into the general educational space of Russia are formulated. The authors formulated proposals how to support non-state education during the period of restrictive measures related to countering the spread of the coronavirus pandemic COVID-19. The article presents the position of the Association of Private Educational Organizations of Russia — ANVUZ of Russia.
Image Noise Recognition Algorithm Based on Improved DenseNet

In the process of image generation or transmission, the image quality is often degraded due to the interference and influence of speckle noise, which will adversely affect the subsequent image processing. However, most of the existing Optical Coherence Tomography (OCT) image denoising methods usually only use part of the prior information of the OCT image, and ignore the changes in the texture and structure of the OCT image. There is often a problem that the network is too deep and the calculation complexity is too large. Aiming at this shortcoming, this paper proposes an improved deep convolutional neural network image denoising algorithm based on the original DenseNet algorithm idea. First, by constructing a speckle noise image data set, a series of preprocessing is performed on the input image data set, then the visual statistical feature map of the image is extracted, and finally the DenseNet network structure is improved for network training. The experimental results show that the improved DenseNet has better performance no matter compared with BM3D, which is recognized as the best denoising algorithm in the field of image denoising, or compared with DnCNN, an advanced image denoising algorithm in the field of deep learning.
GReS: Workshop on Graph Neural Networks for Recommendation and Search

Graph neural networks (GNNs) have recently gained significant momentum in the recommendation community, demonstrating state-of-the-art performance in top-k recommendation and next-item recommendation. Despite promising results on GNN-based recommendation and search, most of the current GNN research remains essentially concentrated on more traditional tasks such as classification or regression. The GReS workshop on Graph Neural Networks for Recommendation and Search is then a first endeavor to bridge the gap between the RecSys and GNN communities, and promote recommendation and search problems amongst GNN practitioners.
Validity and Reliability of Job Performance Questionnaire for Instructors Physical Education

Questionnaire as the data collection tool is mostly used in social science research. The main purpose of tool is to obtain relevant data from the respondents for analysis. The study was conducted to assess the content validity, construct validity and reliability of the adapted job performance Questionnaire developed (Atta, 2012) and (Nigar, 2017). Content validity was assessed through expert opinion by using CVR formula construct validity was checked through exploratory factor analysis while reliability was evaluated by Cronbach alpha. The sample of the study consisted of 171 Instructors Physical education (IPEs) through simple random sampling technique, and data were analyzed through SPSS version 26. The study found that Job performance questionnaire has shown content validity, concurrent validity, and internal consistency among IPEs working in Government Higher Secondary Schools of Khyberpakhtunkhwa, Pakistan. Therefore, the study recommended for the use of this adapted questionnaire for measuring job performance among IPEs for future researchers.
LibGuides: Faculty of Education: A to Z Database Subscriptions

The School equips student teachers with the knowledge, skills and applied competencies for employability and further specialized study, in support of the principles of life-long learning.
Students’ Perceptions on the Virtual Meeting Application for English Learning Activity During the Covid-19 Pandemic

Students’ Perceptions on the Virtual Meeting Application for English Learning Activity During the Covid-19 Pandemic Lintang Arganinggar, Veronica Triprihatmini. M.Hum., M.A. Sanata Dharma (arganinggarlintang28@gmail.com, v.triprihatmini@usd.ac.id) ABTRACT The COVID-19 Pandemic has greatly affected many fields of businesses, especially education. Schools are to cease the face-to-face meetings and replace them with an online learning system. The online learning could be conducted via various platforms and applications. One of the options to conduct the online learning is using virtual meeting applications. This study focuses on the perceptions of the students in SMP Pangudi Luhur Wedi Klaten when participating in virtual meting applications. This research is intended to answer two research questions regarding the implementation of the virtual meeting in the English class and the students’ perceptions of the virtual meeting application in the learning process. This qualitative research employed survey method with observation sheets, questionnaire sheets and interviews as the data collection instruments. All the findings are served in descriptive manner. The findings reveal that the implementation of the virtual meeting in SMP Pangudi Luhur Wedi Klaten has followed almost all the criteria of conducting effective virtual meetings such as informing the expected outcome, giving test, well organizing the materials, and giving feedbacks. The students there enjoyed attending the class using the virtual meeting applications. They even claimed that they could understand the material better when the teacher delivered it through the applications. KEYWORDS: virtual meeting applications, participation, perception Word File: Here
THE RELATIONSHIP OF ADOLESCENT KNOWLEDGE LEVEL AND ATTITUDE ABOUT DRUGS WITH THE EVENT OF DRUGS USING IN KORONG PARAK JUA NAGARI LURAH AMPALU SUB-DISTRICT VII KOTO SUNGAI SARIK, PADANG PARIAMAN REGENCY

Drug abuse still threatens teenagers, even though Indonesia has committed to being drug-free. 19% of the number of teenagers in Indonesia, or about 14 thousand teenagers, are indicated to be drug users. It is indeed very difficult to prevent the use of drugs among students, because the circulation of drugs is also increasingly intense along with the development of drug production technology in Indonesia. Psychologically, teenagers are very unstable or easily influenced by things that are less profitable and even endanger themselves and their future, such as narcotics is very dangerous for teenagers who have fallen into using narcotics. Some cases in adolescents who have become drug addicts begin with their curiosity about drugs, but due to a shallow understanding of drugs they are more deceived by temporary benefits and do not understand the bad consequences in the future. Pariaman Police the number of drug and psychotropic users found 27 cases, which increased sharply from 8 cases to 19 cases. Meanwhile, in Kabupaten Padang Pariaman, drug users in their teens were also found, as many as 50 cases, 14 of which were teenagers. The research used in this research is descriptive analytic with cross sectional method. The population in this study were teenagers in Korong Parak Jua Nagari Lurah Ampalu District VII Koto Sungai Sarik Padang Pariaman Regency as many as 83 people. The sampling technique is total sampling. The results of this study found that there was a significant relationship between knowledge about drugs and drug use, and there was a significant relationship between attitudes about drugs and drug use in Korong Parak Jua Nagari Lurah Ampalu District VII Koto Sungai Sarik Padang Pariaman Regency. Lack of control over the social environment of teenagers is also one of the causes of teenagers trying to use drugs because they have the attitude that drugs are a symbol of today's youth association.
ENHANCED SECURED FINANCE TRANSACTION USING DYNAMIC PRE-GENERATION ONE TIME PASSWORD

Now a days the finance sector the end users are using net banking (online) system. The Internet banking users have static net banking Password for login the account. There may be a chance that unauthorized person can hack the username and password enters in to the net banking.  The banks hold No responsibility for any losses unsecured due to such reason. To overcome this kind of insecure transaction in finance sectors, a new tool proposed in Pre Secure Dynamic One Time Password (PSD-OTP) introduced in this research. That is Pre-Generation OTP. The Pre-Generation OTP means while the user entered into net banking using login Username and Password, during transaction time OTP is generated dynamically and has been sent to end user’s registered mobile number and Email-id. After that do enter the correct OTP and transaction will be successfully completed. Each and every secured transaction there first giving Username and Password further adding OTP to be entered PSD-OTP.  The tool PSD-OTP automatically generates the dynamic OTP. Once a user login to net banking for every transaction a new OTP will be generated. So that unauthorized person cannot track the net banking transaction.  This research is very efficient and user friendly for secured finance transaction.
Unified Deep Semantic Search on Code

A tool that can search over large code corpus directly and list ranked snippets can prove to be an invaluable resource to programmers looking for similar code snippets using natural language queries. It must have a deep understanding of the semantics of source code and queries to evaluate their intent correctly. Over the years, many tools that rely on the textual similarity between source code and query have proven to be ineffective as they fail to learn the high- level semantic understanding of source code and query. While the previous models for code search using deep neural networks do a good job but, most of them only evaluate their models on only a single programming language, mostly Java. In this paper, we propose a novel deep neural network model called Unified Code Net that can handle the intricacies of different programming languages. This model borrows several vital features from different previous models and builds on top of those ideas to make a unified model that can generate document vector embeddings from source code, and using similarity search with the query vector embedding can return the most similar code snippets in any language. This tool can drastically reduce the programmer’s efforts to look for an efficient and viable code snippet for problem at hand which ideally can replace use of search engines for the same
IMPLEMENTASI TEMPLATE WEB RESPONSIVE DYNAMIS (STUDI KASUS: WEBSITE LEMBAGA PENJAMINAN MUTU DAN PENGEMBANGAN PENDIDIKAN)

LPMPP function as an institution that is fully responsible for the implementation of quality assurance mechanisms that have been established based PPEPP Internal Quality Assurance System (SPMI) as determined by UM Bengkulu. In fact, LPMPP has yet to have an information system website that provides all the information needed for applications for re-accreditation of tertiary institutions and study programs. The provision of the website is expected to provide information about the activities that have been implemented by LPMPP with responsive displays that adapts to the screen size of the mobile phone. Website supported by the dynamic capabilities that can provide system data information is up to date.&#x0D;
Att använda eller inte använda? : En studie om användning av mobilapplikationer

Since the introduction of smartphones in 2007, mobile phones have become a significant part of our daily lives. More specifically, the usage of mobile applications have increased vastly, since thou ...
IMPLEMENTASI COBIT5 DELIVER,SERVICE, AND SUPPORT UNTUKMENGUKUR KEMATANGAN DINASKOMUNKASI DAN INFORMATIKA KOTAMANADO

Abstrak — Dinas Kominfo adalah salah satu Dinas Teknis dilingkungan Pemerintah Kota Manado yang memiliki kewenanganuntuk urusan Pemerintahan di bidang Teknologi Informatika.Untuk itu diperlukan adanya standar tata kelola TI yang baikdapat memberikan transparasi dan pengambilan keputusan yangjelas serta wewenang dan tanggung jawab yang terstruktur.Penelitian ini untuk mengetahui nilai kematangan tata kelolateknologi informasi Dinas Komunikasi dan Informatika kotaManado dengan menggunakan framework COBIT 5 domain DSS(Deliver, Service, and Support). Hasil penelitian memperlihatkannilai tingkat kematangan saat ini yang terendah dalam domainDSS pada proses DSS02 yaitu berada pada level 3(EstablishedProcess) dan lima lainnya yaitu DSS01, DSS03, DSS04, DSS05,DSS06 berada pada level 4(Predictable process). Dari hasilpengukuran tingkat kematangan didapatkan nilai as-is dan to-beyang akan menjadi target tata kelola teknologi informasi di DinasKomunikasi dan Informatika. Untuk menjadi lebih efektif makadiberikan rekomendasi agar proses harus memiliki sinkronisasiyang saling berhubungan agar memiliki kesatuan informasi yangjelas dan terukur dalam perumusan dan perencanaan tata kelolateknologi informasi dalam mencapai tingkat kematangan yangdiharapkan.Kata kunci — Cobit 5; Deliver,Service, and Support; DinasKomunikasi dan Informatika; Tata Kelola Teknologi InformasiAbstract — Communication and Informatics office is one of theTechnical Services within Manado City Government which hasthe authority for Government affairs in the field of InformationTechnology. For this reason, it’s necessary to have a good ITgovernance standard that can provide transparency and cleardecision making as well as structured authority and responsibility.This study is to determine the maturity level of IT governance atCommunication and Informatics Office of Manado City by usingthe COBIT 5 framework domain DSS. The results show the lowestcurrent maturity level score in the DSS domain is DSS02 at level3(Established Process) and five others, domain DSS01, DSS03,DSS04, DSS05, DSS06 at level 4(Predictable process). From themeasurement of the maturity level, the as-is and to-be score areobtained which will be the target of IT governance at theCommunication and Informatics Office. To be more effective,recommendations are given that processes must haveinterconnected synchronization in order to have clear andmeasurable information unity in the formulation and planning ofIT governance in achieving the expected maturity level.Keywords — Cobit 5; Deliver, Service, and Support;Communication and Informatics Office; Information TechnologyGovernance
A fuzzy approach to review-based recommendation: Design and optimization of a fuzzy classification scheme based on implicit features of textual reviews

In the design of recommender systems, it is believed that the set of reviews written by a user can somehow reveal his/her interests, and the content of an item can also be implied from its corresponding reviews. The present study attempts to model both the users and the items via extracting key information from the existing textual reviews. Based on this information, a fuzzy rule-based classifier is designed and tuned, which aims to predict whether a typical user will be interested in a typical item or not. For this purpose, the set of all reviews belonging to a user are mapped to a vector representing the user's interests. Similarly, the set of reviews written by different users over an item are merged and mapped to a vector representing the item. By conjoining these two vectors, a longer vector is obtained which will be used as the input of the classifier. To optimize the classifier, an adaptive approach is suggested and rule-weight learning is carried out, accordingly. The performance of the proposed fuzzy recommender system was evaluated on the Amazon dataset. Experimental results narrate from the promising classification ability of the proposed recommender system compared to state of the art.