Reviewerly/exHarmony huggingface dataset:
Competencias docentes en entornos virtuales de educación superior

In order to prevent the use of face-to-face teaching practices in online environments, it is important for teachers to design specific assessment and training programmes applying their knowledge of competences in virtual learning environments. The present study takes the context of a fully online university in order to analyse the perception of the teaching staff on the importance of the competences selected for the study, understood as those that a good teacher should have to teach in virtual environments. These competences were interpersonal competence (CI), methodological competence (MC), communicative competence (CC), teaching planning and management competence (CDPG), teamwork competence (CTE) and innovation competence (CDI). All the competences were rated at a very high level, with CC and CI being the most important, followed by CM and CDPG, which were rated at the same level of importance, and CDI and CTE. It has been determined that aspects such as gender, age and the faculty in which teaching is given are conditioning factors in the importance assigned to the competences studied. It is concluded that these competences should be taken into account in teacher training in virtual environments in order to improve a teaching and learning model that is increasingly in demand in today's society.
Risky Business? Investigating the Security Practices of Vendors on an Online Anonymous Market using Ground-Truth Data

Cybercriminal entrepreneurs on online anonymous markets rely on security mechanisms to thwart investigators in at- tributing their illicit activities. Earlier work indicates that – despite the high-risk criminal context – cybercriminals may turn to poor security practices due to competing business incentives. This claim has not yet been supported through empirical, quantitative analysis on ground-truth data. In this paper, we investigate the security practices on Hansa Mar- ket (2015-2017) and measure the prevalence of poor security practices across the vendor population (n = 1, 733). We create ‘vendor types’ based on latent profile analysis, clustering vendors that are similar regarding their experience, activity on other markets, and the amount of physical and dig- ital items sold. We then analyze how these types of vendors differ in their security practices. To that end, we capture their password strength and password uniqueness, 2FA usage, PGP adoption and key strength, PGP-key reuse and the traceability of their cash-out. We find that insecure practices are prevalent across all types of vendors. Yet, between them large differ- ences exist. Rather counter-intuitively, Hansa Market vendors that sell digital items – like stolen credit cards or malware – resort to insecure practices more often than vendors selling drugs. We discuss possible explanations, including that ven- dors of illicit digital items may perceive their risk to be lower than vendors of illicit physical items.
APLIKASI MOBILE “MOGIZ” UNTUK MONITORING STATUS GIZI

“MOGIZ” Mobile Application for Monitoring Nutritional Status Background: c onsumption of fruits and vegetables is one component of the application of balanced nutrition. Adolescents are the age group with the lowest consumption of fruits and vegetables. Lack of fruit and vegetable consumption in adolescents is associated with obesity. One of the efforts to increase fruit and vegetable consumption is nutrition education. The nutritional education process cannot be separated from the use of the media. Media cakram gizi BUSA is a nutrition education tool. There needs to be an analysis of student responses to the media. Objective: t o determine of student responses to media cakram gizi BUSA in public and private high school adolescents in Yogyakarta City. Methods: t his study was a cross sectional study. The research was conducted on adolescents in State Senior High School (SMAN 6 Yogyakarta, SMAN 9 Yogyakarta) and Private High School (SMA Muhammadiyah 3, SMA Muhammadiyah 4 Yogyakarta) with a total of 128 students as respondents. Media cakram gizi BUSA consists of 2 nutrition discs, namely “cakram gizi buah” and “cakram gizi sayur”. The research was conducted by sending media cakram gizi BUSA to the home address of each respondent and then the respondents filled out the response questionnaire data via google form. Student response data were analyzed and a comparison test between public and private high schools was carried out using Chi Square analysis. Results: t he media “cakram gizi buah” received the same number of positive and negative responses, 32 students (50%) in public schools respectively, and received a positive response from 39 students (60.9%), 25 students (39.1%) had a negative response at school. private. While media “cakram gizi sayur” received a positive response from 34 students (53.1%), a negative response from 30 students (46.9%) in public schools and a positive response from 41 students (64.1%), a negative response from 23 students (35.9) in private schools. Conclusion: t here is no difference in student responses to media cakram gizi BUSA in public and private senior high schools in Yogyakarta City.
Cloud Computing & Its Network Security Issues Analysis Machine Learning Techniques

Huge DATA and mists creation is going on in the present age, it is getting exceptionally hard to store such a huge measure of data. The most ideal approach to store these tremendous measures of information is to store it on the cloud. As individuals and huge associations are moving towards cloud to store their information, security remains the essential concern. Is the information anchoring enough on the cloud? One of the approaches to furnish security in distributed computing is with '(HECC-OTP) ECC Honey Encryption with OTP'. Nectar encryption creates figure content, which whenever gave an erroneous unscrambling key, delivers an authentic plaintext. Subsequently, by giving false plaintext Honey Encryption gives confirmation against Brute power assault and if a right decoding key it produces OTP to enrolled portable number and EMAIL. Also, after the information encryption, SRM (Secure Repository Manager) separates the information into pieces of little information and transfers it to cloud servers. This paper examines the present issue looked in the distributed computing as to protecting the security in sharing the information. Distributed computing offers set of administrations and assets using web. These administrations are given from server farms which are situated all through the world. Contemporary plans of action for associations to send IT administrations are offered by distributed computing with no forthright venture. Distributed computing disentangles giving the virtual assets from anyplace on the planet to anyplace on the planet through web. . The proposed framework gives an answer for safeguarding the information in cloud with the guide of ECC Honey encryption convention and OTP age.
Soft Information Learning of BICM-ID System Based on Deep Learning

In this paper, deep learning is combined to learn the bit posterior probability (soft information) of iterative decoding for a bit-interleaved coded modulation with iterative decoding (BICM-ID) system. The deep neural network (DNN) is adopted to learn and replace multiple modules of the receiver, which can jointly deal with multiple problems and improve the efficiency of the whole system. The output of direct learning iteration reduces the computational cost of iteration to a certain extent. Simulation is carried out under Rayleigh channel and multiple modulation modes and results show that the proposed scheme without iteration is better than traditional BICM systems, and very close to traditional BICM-ID systems which needs iteration between demodulation and decoding.
Trust in Home: Rethinking Interface Design in IoT

IoT systems in smart homes present several privacy challenges.To this end, we have been running design workshops to foster community discussion and collaboration among a multidisciplinary group of experts and early-career researchers in a design workshop.Through these creative design workshops, we aim to deepen understanding of the security, privacy, identity and trust issues with four use cases namely i) smart health, ii) smart appliances, iii) smart toys and iv) home security.Our work aims to build on previous creative approaches, and the findings from the workshop to provide a valuable insight to both further research and industrial implementation.
Hand Gestureand Face Recognition System For Visually Impaired People

Visually impaired peoples are facing several problems to move independently, and also they need the help of others. In this fast-moving world, help to these peoples may not be possible for all the people. And recognition of peoples, through voice is also difficult in some situations. To improve the mobility of the visually impaired peopled, introduced a system simple, user friendly, and cheap. The existing systems are helpful for blind people up to some extent only. This proposed system consists of three applications, they are face recognition, hand gesture, and distance calculation. In the face recognition system, the images are taken from the dynamic video, for face recognition and object detection Haar cascade classifier and LBPH recognizer are used. While in hand gesture the convex hull is used in different features like fingertips, the angle between fingers is being extracted. According to the recognized gesture, various tasks can be performed like controlling home appliances like fans and lights. In this, another application is there that is distance calculation to alert the blind person about the obstacle nearer to them.
PENGELOLAAN DATA PRODUKSI BERBASIS WEB PADA CV. SUMBER PROTEINA BANDAR LAMPUNG

CV. Sumber Proteina is a company that engaged in animal husbandry that produces and distributes chicken eggs. The reporting process at this company is still done manually, so it takes quite a long time to be able to provide reporting data until it reaches the head office. Thus the report need long time to reach the manager. Based on this, this company need a website that can facilitate the delivery of reports and data processing reports, so as to minimize the time of sending data and managing data reports. Management of production data at this company can help decision-making parties at the management level to speed up the process of reporting and processing production data. The system development uses the RAD (Rapid Application Development) model and the design tool is the Unified Modeling Language (UML). The stages for developing RAD system begin at the planning requirements stage, the user design, the Rapid Construction stage and the cutover or system testing stage. The results of this study are in the form of a system that can provide information on the availability of chicken eggs and can also be used online for consumers.Keywords—Data Processing, Production, Report, Website.
High-dimensional quantum cryptography based on multiplexing of polarized structured photons

We perform a proof-of-principle experiment of High-dimensional QKD based on multiplexing of different orders of polarized structured photons with 4D-BB84 protocol. The secret key rate per sifted photon is estimated about 2.604 bits.
Factorization Machines with Regularization for Sparse Feature Interactions

Factorization machines (FMs) are machine learning predictive models based on second-order feature interactions and FMs with sparse regularization are called sparse FMs. Such regularizations enable feature selection, which selects the most relevant features for accurate prediction, and therefore they can contribute to the improvement of the model accuracy and interpretability. However, because FMs use second-order feature interactions, the selection of features often causes the loss of many relevant feature interactions in the resultant models. In such cases, FMs with regularization specially designed for feature interaction selection trying to achieve interaction-level sparsity may be preferred instead of those just for feature selection trying to achieve feature-level sparsity. In this paper, we present a new regularization scheme for feature interaction selection in FMs. The proposed regularizer is an upper bound of the $\ell_1$ regularizer for the feature interaction matrix, which is computed from the parameter matrix of FMs. For feature interaction selection, our proposed regularizer makes the feature interaction matrix sparse without a restriction on sparsity patterns imposed by the existing methods. We also describe efficient proximal algorithms for the proposed FMs and present theoretical analyses of both existing and the new regularize. In addition, we will discuss how our ideas can be applied or extended to more accurate feature selection and other related models such as higher-order FMs and the all-subsets model. The analysis and experimental results on synthetic and real-world datasets show the effectiveness of the proposed methods.
Levenberg-marquardt backpropagation neural network with techebycheve moments for face detection

Face detection is an intelligent approach used in a variety of applications that identifies human faces in digital images. This work presents a new method which composes of a neural network and Techebycheve transforms for face detection. For feature extraction, Tchebychev transform was applied, in which a discrete Tchebychev transform is given for different sampling patterns and several samples here were performed on color images. A Levenberg-Marquardt backpropagation neural network was applied to the transformed image to find faces in the face detection dataset and FDDB benchmarked database. Model performance was measured based on its accuracy and the best result from the newly proposed method was 98.9%. Simulation results showed that the proposed method handles face detection efficiently.
Level set segmentation method based on local area fitting information and guided filter fuzzy clustering

Image segmentation plays an important role in many aspects of medical image analysis, especially in computer-aided diagnosis. In order to obtain a more accurate target contour, solve the problem that the level set method is sensitive to the initial contour, and make the algorithm more robust to noise, this thesis uses the guided filter fuzzy clustering algorithm to perform image pre-segmentation, and then combines with the level set model based on local area fitting information. First, the fuzzy clustering algorithm is used to obtain the control parameters of the level set evolution. Then, combined with the local neighborhood characteristics of the image points, the regional term coefficients and edge stop functions of the level set model are improved. Finally, the Gaussian Laplacian energy term is introduced to enhance the edge information of the target. Experiments have proved that the algorithm model proposed in this thesis realizes the automation of the initial contour of the level set, and at the same time improves the accuracy of segmentation, and is more robust to noise.
The Use of Infographic as Graphics Organizer in Understanding Descriptive Text for Kintap Community Development Program

This research starts from the fact that Somehow many problem learner faced in understanding text because; the text are too long, there are many incoherent topics in one of paragraph, to characteristics of learners whose used to learn visually dominant, which lead learners get bored when face long text in reading. These problems could be easily solved by initiate an excellent inovation in teaching reading. By using graphics organizer as teaching strategies and install to adaptate it to the clasroom for learning reading. Teaching reading using infographic is a great deal to help students understand faster and also help teachers deliver learning objectives clearly and efficient. Naturally, learners are likely bored when they are face long text, they need attention catching material in help the to scan information faster. Infographic come as solution for this problem. readers benefited from reading infographics that combined texts and graphics. Because of infographic ability to synthesize information, infographics can be used for both educators and students alike. Educators could use them to present core ideas of a text, and students could create them for presentations or to summarize and share valuable facts and main ideas in the text.Therefore, the researcher wanted to find out how the use of infographic in understanding descriptive text and what are the the benefit and problem when using infographic in the classroom.In order to find out the hypotetical question on how he use of infographic in understanding descriptive text, the researcher used qualitative research as the methodology of this study. The method used is descriptive. The research subjects are the participant of Community Development Program in Yayasan Pengembangan dan Pemberdayaan Masyarakat Kintap. The researcher conducted observation, interview to collect the research data. The result from 2 phases of designing, grouping and individually and 2 phases of interviews. Through qualitative descriptive analysis techniques according to Miles and Huberman the analytical methods are: data reduction, data presentation and drawing conclusions / verification. the result showed that there is benefit in using infographic that learning becomes easier and interesting. The material delivered was easily understood. Infographic certainly adds to participants interest in reading. But the problem within the usage of infographic is limited knowledge of designing could lead difficulties in making an attractive and proper infographic that need to be solved by giving a very basic design course.
PHYSICS AND RUSSIA

An outline of the development of physics in Russia is given, with an emphasis on Russian specifics. The conflict between “academic” and “university” physics in Stalin's times is presented somewhat differently, in comparison with the available literature. The term “mystical atheism” was introduced to characterize the philosophical basis of physics of the twentieth century. A brief assessment of the state of science and education in Russia after 1991 is presented.
Aplikasi Penjadwalan Belajar Mengajar Pada Bimbingan Belajar Dengan Menggunakan Metode Waterfall

The internet has been widely used in various fields, such as information, telecommunications, trade, to education, making it easier for a company or institution to provide information that is very useful for the community. tutoring education. Researchers conducted a case study at tutoring sites in Tangerang City, including ELC English tutoring, Rizki General Bimbel, Al-Hikmah Religious Education, with a large number of students and teachers, still applying the conventional scheduling system, where the admin will contact students and teachers by telephone if there are teaching classes, other obstacles the admin forgets to notify students and teachers if there is a schedule, the schedule given is not appropriate and clashes with other classes, students or teachers cannot contact the admin to get schedule information. By utilizing information technology, these problems can be facilitated by making a web-based scheduling application developed using the waterfall method. This development method includes needs analysis, design, implementation, and testing. In the needs analysis stage, business process modeling is carried out based on the results of interviews with stakeholders and problem analysis. The results of the application design produce applications that can perform scheduler management of teacher data, lesson data and student data, which will be stored in the database.
The Influence of Demographic Factors on the Cybersecurity Awareness Level of Individuals in an Academic Environment

Nowadays the notion of cybersecurity has claimed center stage in the daily life of individuals and organizations. Losses incurred to cyber-attacks are the result of faulty human interactions with new information and communication technologies (ICTs) in the context of cyberspace. The fast pace of technology discoveries has surpassed the understating of most ICT users. Consequently, individuals become unaware of such changes in different ways. This research examines differences and/or relationships in awareness level of individuals towards cybersecurity issues, considering four basic demographic factors: Gender, Age, Education, and Employment. The data set for this study originated from university students pursuing a bachelors degree in information systems and/or information technology. Finally, the results from this study are not conclusive and cannot be generalized due to several natural research limitations. However, several observations found in this study may contribute to the general body of knowledge for cybersecurity, and to stimulate future research.
ANALYSIS OF MEASUREMENT OF READINESS LEVEL OF KNOWLEDGE MANAGEMENT SYSTEM IMPLEMENTATION IN KARAWANG STATE COURT

The Karawang District Court is an official body or institution that organizes the judicial system in the form of examination, examination, and deciding cases. In carrying out its duties and functions, the Karawang District Court cannot be separated from the competition out there which demands that each division or division in it is required to be able to manage every stage of science effectively and efficiently. If this knowledge is managed properly, there will be many benefits that can increase the competence of the Karawang District Court. Therefore, it is necessary to apply knowledge management in the Karawang District Court which is an attraction for researchers to analyze the readiness of the application of the KM system in the Karawang District Court. Therefore, this study aims to measure the level of readiness to implement the system in the Karawang District Court. The research method used is descriptive quantitative while compiling the questionnaire using the Knowledge Management Success Factor (KMCSF) approach to help determine the extent to which the Karawang District Court is ready to implement knowledge management. The sampling technique used is non-probability sampling with the type of snowball, so the number of respondents in this study was 60 respondents. The results of this study after data analysis and data testing can be concluded that the Karawang District Court is ready to implement knowledge management.
Metodología de obtención de Evidencia en la Nube

Cloud computing is the trend in the digital transformation process most embraced by organizations of all sizes. The use of the information storage service in the cloud begins to take a large share in the discipline of computer forensics. The use of the cloud has allowed forensic computer scientists to remotely acquire and preserve digital evidence stored on any computer device,such as a mobile device. This has led not only to improve and optimize the justice service in terms of investigations where digital evidence is involved, but also to a paradigm shift for computer forensics in the not too distant future, where the evidence digital will no longer be stored in the device for daily use and will be stored in different servers located anywhere in the world. Thisarticle addresses the methodological aspect and good practices related to obtaining digital evidence stored in the cloud.