Reviewerly/exHarmony huggingface dataset:
Engineering College Websites in Andhra Pradesh: An Evaluation Study

The academic institutions in Andhra Pradesh have begun to recognize the importance and potential of using the World Wide Web. Since the early 1990s, colleges have started designing websites and offering services on the internet. The web pages of colleges have many designs and varieties, but it is necessary for these websites to follow a certain framework in their design based on their users, which increases the need for the evaluation of these websites. In reality the goal behind the evaluation of college websites is to guide them toward providing the users with accurate, correct, and authentic information. The goal of this study is evaluation of the engineering college websites in Andhra Pradesh to assess user’s opinion. A questionnaire survey was conducted among the top 20 engineering colleges which were identified through the website evaluation checklist.
초등교사의 임파워먼트, 코칭리더십 및 행복플로리시 간의 구조적 관계

This study analyzed the structural relationship among elementary school teacher’s Empowerment, Coaching Leadership, and Flourishment, and investigated the direct effect of Empowerment on Flourishment and the indirect effect mediating Coaching Leadership. This study distributed a questionnaire to measure elementary school teacher’s Empowerment, Coaching Leadership, and Flourishment to 250 elementary school teachers with more than one year of experience working in Seoul, and Gyeonggi, Chungcheong, Jeolla, and Gyeongsang Provinces. Statistical analysis was performed using SPSS 26.0 and AMOS 26.0. The results of this study are as follows. First, through the analysis of the covariance structure, the final structural relationship model among Empowerment, Coaching Leadership, and Flourishment was found to be suitable for all goodness-of-fit indices. Empowerment has a significant positive effect on Coaching Leadership and Flourishment. Coaching Leadership also has a significant positive effect on Flourishment. Second, Empowerment has a direct effect on Flourishment and an indirect effect through Coaching Leadership. From these research results, Coaching Leadership is a mediator having an indirect effect on the influence of Empowerment on Flourishment.
Monitoring & Controlling of Information against Unethical Hacking using Effective Machine Learning Techniques

Many services are currently utilizing AI estimates to pick high-stake options. Determining the proper selection unequivocally relies on the rightness of the relevant information. This fact offers encouraging motivators to hackers to attempt to mislead Artificial Intelligence estimations through managing the relevant information that is taken care of to the estimates. But at that point, standard AI computations are certainly not wanted to become protected while encountering surprising details resources. At the moment, deal with the concern of ill-disposed AI; i.e., our experts will most likely generate risk-free AI calculations robust within the attraction of a loud or an adversely managed information. Ill-disposed Artificial Intelligence will be even more screening when the perfect turnout has a mind-boggling framework. At this moment, noteworthy limelight gets on adversarial AI for preparing for organized returns. To begin with, our team build up yet another calculation that dependably carries out accumulated collection, which is an organized expectation concern. Our discovering approach works and also is described as a curved square system. This method is sure about the desire calculation in both the closeness as well as the absence of an opponent. Next off, our team looks into the problem of criterion learning for strenuous, coordinated projection models. This technique develops regularization capacities dependent on the restrictions of the adversary. Now, illustrate that durability to the command of details corresponds to some regularization for a tremendous edge arranged assumption and the other way around.A typical device commonly either requires more computational capability to structure a clear-cut best assault, or it doesn't have adequate records about the trainee's design to accomplish, therefore. Consequently, it routinely tries to use many unnatural changes to the payment to a desire to bring in an accomplishment. This reality advises that on the occasion that our experts confine the usual lousy luck job under ill-disposed commotion, we will get vitality against ordinary opponents. Failure preparing seems like such an outcry mixture circumstance. Our experts calculate a regularization technique for an enormous edge parameter, discovering depending on the failure system. We stretch out dropout regularization to non-straight parts in a handful of oneof-a-kind means. Empirical analyses show that our systems reliably pounded the standards on a variety of datasets. This proposition integrates a recently dispersed and individual coauthored component.
Semantics for Reciprocal Preferences

Examining fuzzy preference relations together with the reciprocity condition, and a potential conceptual conflict arising between reciprocal fuzzy preferences and fuzzy preference structures, it is claimed that reciprocal preferences cannot be properly understood according to a weak nor a strict preference predicate.Therefore, as the elements of a standard preference structure, namely strict preference, weak preference, indifference and incomparability, cannot be properly distinguished from reciprocal fuzzy preferences, the concept of lack of preference emerges as a natural category, in fact allowing to understand reciprocal fuzzy preferences according to the standard fuzzy preference model.Furthermore, the basic notion of lack of preference is shown to group all the non-preference relations into a basic, unifying concept, providing an adequate decomposition of the meaning of any reciprocal fuzzy preference relation.
Using databases to improve the visibility of women’s contributions in STEM fields

Databases are powerful tools to simplify managing and accessing information, which have been proved to be fundamental capabilities in the Data Science Age. Currently, databases are being widely implemented in many different applications and fields. In this work, we highlight the benefits that publicly available databases of professional women working in Science, Technology, Engineering and Mathematics (STEM) fields can provide to overcome the problem of lack of gender diversity and equity in them. Some examples of public databases in Spain are provided. Special focus is given to the Girls4STEM project database, which promotes gender perspective innovation from a Higher Education Institution.
IMPLEMENTATION OF EXPERT SYSTEM TO IDENTIFY FORMALIN AND BORAX CONTENT IN FOOD USING THE CERTAINTY FACTOR METHOD

Today, along with the times that are supported by the rapid development of technology, all aspects of life cannot be separated from the influence of technology.In terms of food, it is also supported by the role of women, nowadays women are born not only to take care of the household, but also to become women who earn big or often called career women, so that there is almost no time to prepare food for the family, so it is not surprising that food Fast food is preferred as one of the main alternatives to filling the stomach considering the taste of the food served and the serving time is only a matter of minutes so it doesn't waste a lot of time. However, without realizing it, some types of fast food that are often consumed contain several types of harmful ingredients that trigger the onset of chronic diseases, such as: heart attack, insulin resistance, diabetes, and several other dangerous diseases. Seeing this impact, so the author is interested in making an expert system application to identify the content of formalin and borax in food. In drawing conclusions in expert systems, Forward Chaining and Backward Chaining are generally used. However, with the use of these two reasons, it is not possible to determine the value of confidence in the hypothesis. So that the expert system can do reasoning like an expert even in conditions of data uncertainty and to get a confidence value in this case the author uses a method to solve the data using the Certainty Factor (CF) method. The Certainty Factor method is a method that defines a measure of certainty against a fact or rule, to describe the level of expert confidence in the problem at hand,
Implementasi Web Service Pada Sistem Informasi Geografis (SIG) Peta Sebaran Data Covid-19 Berbasis Mobile Apps

Geographical Information System is an information system based on computer work that enters, manages, manipulates and analyzes data and provides descriptions and produces geographically referenced data.By using the Geographic Information System, it is hoped that it will be easier for the people of Indonesia to find out which locations or provinces are most affected by Covid-19. The use of a geographic information system (GIS) concerning the presentation of data and information in the form of maps can be used as a tool in making a decision.Research uses web service technology to collect data and integrate services from multiple sources. The web service protocol and architecture used is (REST), with independent data exchange using the JSON format. The application (GIS) will later be tested using black box testing methods and automation testing.
Analysis of the Seasonality in a Geothermal System Using Projectionist and Clustering Methods

The environmental impact caused by greenhouse gasses emissions derived from fossil fuels, gives rise to the promotion of green policies. In this context, geothermal energy systems has experienced a significant increase in its use. The efficiency of this technology is closely linked with factors such as ground temperature, weather and season. This work develops the analysis of the behaviour of a geothermal system placed in a bioclimatic house during one year, by means of projectionists and clustering methods.
A Primer on Generative Adversarial Networks

Generative Adversarial Networks (GANs) is a type of deep neural network architecture that utilizes unsupervised machine learning to generate data. They were presented in 2014, in a paper by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. This paper will introduce the core components of GANs. This will take you through how every part function and the significant ideas and innovation behind GANs. It will likewise give a short outline of the advantages and downsides of utilizing GANs, comparison of architectures of various GANs and knowledge into certain true applications.
Klasterisasi Sebaran Kasus Covid-19 Di Kota Denpasar Menggunakan Algoritme K-Means

Various efforts have been made by the government to tackle the spread of Covid-19 in Denpasar City. Starting from creating a data collection system for Covid-19 patients and a map of the distribution of Covid-19 patients based on villages, which are updated every day and open for access to the general public. In the observations made by researchers, the Denpasar City Government needs to add efforts to organize the distribution of Covid-19 cases, by knowing the characteristics of Covid-19 patients and grouping villages based on similar characteristics so that the distinctive characteristics of each urban village group can be identified in Denpasar City. The problem that will be discussed in this research is how to cluster the distribution of Covid-19 cases using the K-means algorithm. The purpose of this proposed study is to cluster Covid-19 data using the K-Means algorithm. The clustering of the distribution of Covid-19 cases in Denpasar City was successfully carried out using the K-Means algorithm and the number of clusters used was 3, with cluster 0 (Low Cluster) of 16 villages / wards, cluster 2 (Regular Cluster) of 21 villages / wards, and cluster 1 (High Cluster) of 6 villages / wards. Cluster validity was tested using the Davies Bouldin method with the resulting value of -0.522.
A Comparative Analysis of Various Forensic Tools used in Secure Digital Transmission

A forensic methodology is presented for examination huge size of log records to extricate information which can help advanced specialists and inspectors during the examination of cloud based crimes that happened through a specific time. In this methodology, we utilized Apache Hadoop and Apache Spark for investigation web log information. Apache Hadoop for examination of log information is utilized while an Apache Spark is utilized to give bunch and constant investigation of 200 web worker log information. In each approach, three unique projects are carried out and tried on three distinctive log documents in size. Each program extricates the diverse kind of data that can help advanced examiners in remaking timetable related crimes that are happened. The outcomes show that Apache Hadoop and Apache Spark can be utilized as quick stages for preparing different enormous size of log documents and concentrate valuable data that can uphold computerized examiners in investigation monstrous measure of cloud log information in a given edge time just as remade course of events identified with occurrences. Besides, the outcomes can arrangement to remake and produce a timetable identified with verifiable past grouping occasions happened during a crime just as distinguish the malignant client's IP address, date and time, with the quantity of access.
Internet Literature: Increasing Information Competence in the Learning Process of Students of Class 7 Middle School

Internet literacy is very influential in today's social life. Even with students who carry out the learning process at home. This research was conducted to understand the extent to which students can formulate the information needs they get from the internet, as well as knowing the improvement of student competence based on information obtained from the internet for the learning process. The research method carried out by us is qualitative descriptive using a questionnaire and a post-questionnaire as the research medium. The results obtained from this study are students experience an increase in information competence that can help during the learning process.
Design and Development of Online Pizza Ordering System

Abstract: The “Pizza Ordering System" has been developed to override the problems prevailing in the participating manual system. This software is supported to eliminate and in some cases reduce the hardships faced by the existing system. Moreover this system is designed for the particular need of the company to carry out operations in a smooth and effective manner. The application is reduced as much as possible to avoid errors while entering the data. No formal knowledge is needed for the user to use this system. The main objective of the Pizza Ordering System is to manage the details of Payments, Customer, Pizza, and Order Status. The project is totally built at administrative end and thus only the administrator is guaranteed the access. The purpose of the project is to build an application program to reduce the manual work for managing the Payments, Customer, and Online Order. It tracks all the details about the Pizza, Order Status. The purpose of Pizza Ordering System is to automate the existing manual system by the help of computerized equipment and full- fledged computer software, fulfilling their equipment, so that their valuable data/information can be stored for a longer period with easy accessing and manipulation of the same. The required software and hardware are easily available and easy to workwith. Keywords: Include at least 5 keywords or phrases
Human-Centered Visual Interfaces for Image Retrieval: An Exploratory Study

The widespread use of digital cameras in mobile phones has led to an increase in the number of pictures captured and shared. However, the development of interfaces for visualizing image collections has not matched that growth. Most search methods are based on text descriptions and retrieve a large number of results on thumbnail 2D grids, which can be hard to analyze. Therefore, it is crucial to couple image retrieval with purposely designed interfaces. This paper covers the study of four different interfaces for the visualization of collections of images, including a regular 2D grid, a variable-size 2D grid, a pile of images, and a spiral. These interfaces were evaluated in a user test involving nine participants performing search tasks. We found that both grids exhibit higher usability and lower task times than the Pile and Spiral. The Variable Size Grid had lower usability scores than the Regular Grid, but it showed higher-quality task results and was preferred by the participants in this study.
Using Motion Deblurring Algorithm to Improve Vehicle Recognition via DeblurGAN

In order to overcome the effect of motion blur on automatic vehicle detection, recognition and tracking in traditional vehicle identification field, we propose an algorithm via Generative Adversarial Networks (GAN) for de-blurring motion blurred vehicle images. The algorithm uses Generator and Discriminator in GAN to game each other, making the resulting image closer to the target image. Based on the above, the two networks use the VGG19 network in the process of playing with each other, which makes the image de-motion blurring better, thus effectively improving the vehicle recognition rate. The algorithm is therefore significant for target detection systems in computer vision systems. From the final experimental evaluation, the images generated via this algorithm have greatly improved the recognition appearance, PSNR and SSIM, and the recognition rate of the vehicles can be increased by up to 34%.
Teach phishing awareness with games : Comparing the effects of Gamification and Learning to read on Phishing Awareness

Teach phishing awareness with games : Comparing the effects of Gamification and Learning to read on Phishing Awareness
ReLU-Based Activations: Analysis and Experimental Study for Deep Learning

Activation functions are used in neural networks as a tool to introduce non-linear transformations into the model and, thus, enhance its representation capabilities. They also determine the output range of the hidden layers and the final output. Traditionally, artificial neural networks mainly used the sigmoid activation function as the depth of the network was limited. Nevertheless, this function tends to saturate the gradients when the number of hidden layers increases. For that reason, in the last years, most of the works published related to deep learning and convolutional networks use the Rectified Linear Unit (ReLU), given that it provides good convergence properties and speeds up the training process thanks to the simplicity of its derivative. However, this function has some known drawbacks that gave rise to new proposals of alternatives activation functions based on ReLU. In this work, we describe, analyse and compare different recently proposed alternatives to test whether these functions improve the performance of deep learning models regarding the standard ReLU.
A Study of Disorganized Regulations in the Cryptocurrency Market and Its Acceptance as a Mode of Exchange

Abstract: People's working habits, communication styles, shopping habits, and even how they pay for items have all altered as a result of technological advancements. Companies and customers no longer prefer cash. Contactless payments such as Google Pay, Paytm, and PhonePe are gaining traction in the country. Consumers may pay for things at computerized registers with a quick wave of their smartphone. And now, a new type of payment mechanism is gaining traction: cryptocurrencies. Almost everyone has heard about Bitcoin. It was the first cryptocurrency to gain mainstream acceptance, but other cryptocurrencies like Ethereum are gaining traction. There are almost 2,000 different types of cryptocurrencies, with new ones being created every day. According to a research, the majorities of individuals have heard of cryptocurrencies but do not fully comprehend what it is. So, what exactly is it, is it safe, and how does one go ahead about investing in it? This is exactly what you are going to find out in the following research paper. Keywords: Cryptocurrency, Modes of Exchange, Blockchain, DLT
Gender features of professional self-realization of a woman's personality

This study aims to fulfill the gap that exists in the impact of gender differences when it comes to fulfilling one’s potential or “self-realization”. In accordance with the hierarchy of needs concept given by Abraham Maslow this study aims to explore the obstacles that lay in the path of a woman especially in terms of her personality that prevent her from self-realization. The works of notable scientists have been cited to stress the importance of self-realization. Research was conducted using various psychodiagnostic tools such as the 16-factor questionnaire by R. Cattell and the correlation of indicators of personal maturity was found using the methods of Yu.Z. Gilbukh. The results proved the hypothesis that a woman’s personality indeed has an impact on the self-realization of her potential.
딥러닝 언어모형을 활용한 영어 비결속 재귀사 검증

This article concerns the so-called unbound reflexive pronouns in English, which refer to self-forms without any sentence-internal antecedents, running counter to the classic Binding Principle A (Chomsky, 1981). To empirically investigate the distributional properties of the English unbound reflexives, the present study makes ample use of the BYU corpora including COCA, COHA, and GloWbE to collect relevant data, and implements the collected data into BERT, a machine learning technique for natural language processing, to explore how surprisingly the unbound reflexive forms appear in various types of contexts in comparison to the pronominal counter-parts. It is remarkable that the results replicate the findings and claims of the existing theoretical and corpus studies regarding the distribution of the unbound reflexives in English. This suggests that the deep learning skills can be sufficiently used to explore the syntactic phenomena in human languages.
MareXperience. AI/AR for the Recognition and Enhancement of Reality

The MareXperience exhibition event was held in Procida on February 22 and 23, 2019, inside an ancient cave for the shelter of fishermen's boats, 45 meters long and 8 meters wide.Inside, synchronized video projections and soundscapes were produced to create an immersive virtual environment, whose contents were inspired by the signs and fluidity of underwater life.The digital forms were generated by a Swarm Intelligence algorithm, a tool generally used to create complex kinematic structures defined by a large number of parameters.Generative design is an expressive form aimed at artistic languages and representation of dynamic contexts, which here have been integrated into a narrative process, connecting aspects of the recording of the movement of bodies in water with the principles of data visualization.
Applying Blended Learning To Teach Vocabulary To Fourth Semester Students For English Department Students At Christian University Of Indonesia Toraja

The goal of the research is to know the effect of blended learning applied in teaching vocabularies for the fourth semester students. The research used qualitative method. The subject of the research is lecturer and fourth semester students at Toraja Christian University of Indonesia. The data collected by using edmodo as a media that used in pretest and posttest and zoom application used presented. In the research has effective indicator in teaching process. After applying blended learning, the result showed raised score, it can be classified excellent is 4 percent, very good is 28 percent , and fair is 44 percent, and poor is 1 percent&#x0D;