Reviewerly/exHarmony huggingface dataset:
A Fuzzy Logic Decision Making Of Student Performance Using Minimization of Weighted Regret Method

he method of reasoning which is similar to that of human reasoning is known as fuzzy logic. In this competitive world, in the field of education, more data has been generated and kept as records for the evaluation of student’s performance. With these large databases of records of the student, the experts would feel difficult to make a decision, since they cannot judge or decide a student understanding just by the paper test because some students could not write well but they are good in solving problems practically. So, there are some uncertainties that are found in evaluating a student’s performance. Here in this paper, we have proposed a model for making a decision from the uncertain data to find in which part of this academic skills the students is low, whether in practical or written or in workshop. Hence to make a decision we need to evaluate the students separately for their practical competence, written test and other academic skills. Then with the help of the expert opinion we will be able to decide in which part the students are low in competence. We have proposed a fuzzy decision making approach called Minimization of regret method(MMR) with the Weighted Average (OWA) operator known as MWR approach for making a decision to find in which part of the attribute the students score low marks and give them training and improve their ability in that particular area of skills such as practical or written or in workshop.
Adaptive and Optimized Meta-Heuristic Framework for Establishing QoS and Transaction Properties-based Dynamic Web Service Composition

The dynamic web service composition based on QoS and transactional properties is considered to be the most important challenging research issues. Most of the works explored in the area of dynamic web service composition have mainly focused on some specific QoS parameters, which avoid potential factors from utilization. Further, the transaction properties also play a vital role in handling uncertainty which introduces most vital functionalities into the reactive environment. In this paper, an Adaptive and Optimized Meta-Heuristic Framework (AOMHF) is proposed for establishing dynamic web service composition based on QoS and transaction properties. This proposed AOMHF framework considered the user preferences and unpredictable service QoS for achieving reliable dynamic web service composition. This proposed AOMHF framework is developed as a dual staged web service composition scheme which incorporates the merits of monitoring mechanism which improves the possibility of improving and guaranteeing reliability and availability under reliable web service composition.
THE GAME: PREDATORY JOURNAL VS. SCOPUS

The aim of this study is to identify the features of fraudulent journals. Fraudulent journals wasted valuable manuscripts when scholars and authors publish their works in this kind of journal. Fraud journals publish the articles without reviewing the process with a high rate of fee. Purposive sampling technique and document analysis method have been used to conduct this research. One Scopus indexed journal has been selected for reviewing their articles and investigating the publication process. Based on the discussion of this study, the researcher found some characteristics of predatory/fraud/ journals that will help the scholars to avoid publishing fake journals.
Smart Transactions

Fully realized ACCP-based (Atomicity, Consistency, Concurrency, Permanency) online transactions would allow, first, to connect and manage all associative input transactions to a single output transaction, second, to eliminate any third party that is not a participant of transaction contract, third, to fully automate an execution of multi-steps contracts with a possibility to track them on every step, fourth, to promptly identify and extract any transaction data, and fifth, to dynamically scale a transaction network proportionally to the amount of its active participants.We propose a mechanism that allow every single participant of the transaction network to dynamically manage any transaction on his or her own economic way.
Supplemental Material: Geologic map of central Panamint Range, California, USA

&lt;div&gt;Digital map data files in ArcGIS shapefile format for data collection points, geologic contacts, and geologic unit polygons.&lt;br&gt;&lt;/div&gt;
Wawa breach may have leaked millions of payment card details

Criminals using cybercrime forums claim to have 30 million sets of payment card details for sale following a nine month-long breach of systems belonging to US convenience store and service station chain Wawa.
JavaScript Application Tools

Since the beginning of the Internet, web sites have been based around two components, the server and the client. While the server-side is, and has been, managed by numerous frameworks and languages, the client-side has predominantly been dominated by JavaScript. In 2009, Node.js ( ) was written as a framework for creating I/O optimized applications, such as web servers, using JavaScript and executed by Google’s V8 JavaScript engine. The release of node.js and its accompanying package manager the Node Package Manager (NPM) created a mechanism to use JavaScript on the desktop and server and boosted popularity of the command line tools within the web development space while also offering a much needed outlet for open source software (OSS) developers to distribute their code to the community. This chapter focuses on the basic usage techniques of some of these tools and is meant to help readers get acquainted with the tools that will be used throughout the remainder of the book.
Cloud Ubuntu for Windows Users

As you saw in the last chapter, using the cloud does not always allow for using Windows. This is not entirely true; Windows can certainly be utilized in the cloud. However, this tends to increase the cost in high-performance environments, making it impractical for some occasions. Additionally, it is not impossible to use the Ubuntu environment, and many of the same skills advanced R users have translate readily. All in all, using Ubuntu as your server instance operating system is not difficult with a little guidance to get started.
Moodle Sebagai Pembelajaran Dalam Sekolah Menengah Atas

Learning methods begin to be less effective because some students do not actively interact with teaching teachers when the learning process takes place and lack of parental supervision. In a centralized learning method like this students are not too required to be independent in learning activities, such as searching for materials and discussion material because everything has been provided by the teacher. Learning Methods E-learning is applied to overcome students' problems in the process of teaching and learning activities in the classroom. Moodle is an application built to support the process of teaching and learning activities by utilizing internet media through a website using the principles of social constructivist pedagogy which will greatly help teachers from all aspects of the teaching and learning process. The research method that will be used is a qualitative descriptive method by using saturated samples where the population is equal to the number of samples. The technique that will be used in the process of collecting data is search and observation. The results of this study are active interactions between students, and also with teachers and parents in the process of teaching and learning activities, forums for discussion between students, and also with teachers. Because e-learning can also be used as a discussion forum, holding online quizzes, and other learning materials, so the learning process will be more flexible and effective for students and lecturers.
INTELLECTOLOGY AS A BURIED RESERVE FOR ACQUIRING ADVANTAGES IN COMPETITIVE STRUGGLE

The paper substantiates relevance of teaching a new discipline "Intellectology" in Russian universities and presents approaches to that by the example of Russian State University for the Humanities. The goal is to educate creative intellectuals with a systemic mindset, able to solve the problems of reviving the Russian economy and ensuring its competitiveness. The article reveals the essence of intellectology, its theoretical foundations, provides definitions of the intellectual nature, intelligence, intellectual potential and intellectual capital, as well as outlines some historical examples and technologies for the effective development and use of intelligence at different levels to gain competitive advantages.
Estimating Cell Count in Overlapped Cluster of Thin Prep Pap Smear Cell Microscopic Image

The cell adequacy is one of the important factor is Pap smear test as per Bethesda reporting system. The adequate number of cells in a given sample helps to effectively check for abnormality of cells. The Pap smear sample with inadequate number of cells will be rejected and patient will be called for collecting sample once again. The cell adequacy is the number of squamous epithelial cells present in the given Pap smear sample. This paper presents an automated method which estimates the number of cells in a given Pap smear image. This method estimates a cell count even when cells are overlapped. The proposed approach first separates disjoint cells and overlapped cell cluster from cervical Pap smear image. Then the overlapped cluster is further segmented to obtain individual cells. The overlapped cluster is selected based on the area factor. That is area of overlapped cluster will be more than disjoint cells. This method uses Bitplane slicing technique for segmentation of overlapped cells. Then the total cell counts is estimated as sum of disjoint cells count and number of cells separated from overlapped cluster. The method is tested on the ThinPrep images publicly available in open access database.
PERANGKAT LUNAK KOMPUTER

Computer software is a computer program that serves as a bridge between computer users (users) and computers. In other words, software is a translator between the user as the giver of instructions and the computer as the party who receives the instructions. Software has the opposite properties to hardware. If physical hardware can be touched, another case with software, software cannot be touched with the physical sense of touch. However, software is very important in operating the computer. Because without computer software only machines that cannot be operated with user instructions. The software system is created using a programming language written by the programmer so that it becomes code that can be recognized by the hardware.Keywords: Computer Software
Supplemental Material: Determining the source of placer gold in the Anaconda metamorphic core complex supradetachment basin using detrital zircon U-Pb geochronology, western Montana, USA

Sample locations, analytical techniques, data reduction methods, and ICP-MS zircon U-Pb datasets.
2nd International Conference on Mechanical, Electronics, Computer, and Industrial Technology

Preface International Conference on Mechanical, Electronics, Computers, and Industrial Technology (MECnIT 2018) was held in Medan, Indonesia. MECnIT 2018 was hosted by Faculty of Technology and Computer Sciences, Universitas Prima Indonesia. This conference is co-organized by TIMERS (Technology, Informatics, Management, and Engineering Research Support), Universiti Utara Malaysia, National Taiwan University of Science and Technology, Universitas Sumatera Utara, Institut Teknologi Bandung, Universitas Padjajaran, and Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM). The MECnIT 2018 has attracted many academicians, scientists, engineers, postgraduates, and other professionals from many countries. These conferences aim to promote interaction among engineers, researchers, and scientists active in the related areas. The events are intended to provide a high-level international forum to present, to exchange, and to discuss recent advances, new techniques, and applications in the field of knowledge discussed in this conference. Our special thanks also goes to all individuals and organizations such as the international program committees (IPC), the conference organizers, the reviewers, and the authors, for their contribution in making MECnIT 2018 not only a successful international conference but also as a memorable gathering event. We are also grateful for the support of the publication service of IOP. We hope that it should give you a beautiful memory to bring home in addition to new insights and friends gathered during the conference. We are truly grateful for your contribution and interest. We hope that you will get pleasure from MECnIT 2018 in this beautiful city, Medan, Indonesia. List of Conference General Chair, International Program Committee (IPC) and Conferences Photographs are available in this pdf.
Amorphic Encryption

As a symmetric as an asymmetric scheme requires a key (session orprivate) to be hidden. In this case, an attacker gets a chance and timefor finding and decrypting it. As long as a secret has static attributes(length, type of characters, etc.) it will always be vulnerable for anattack.We propose a new concept of keyless encryption, “Amorphicscheme”, which is semantically secured and has “Perfect Secrecy”level. It allows a secret to be transmitted over any public channel withno public or private key to be generated and stored.
Shape Verification Neural Network to Detection Personal Signature

This paper was concerned to study the standard features of the personal signature image. Independent features such as the area, height ,width, maximum vertical, maximum horizontal , and fractal dimension were taken to isomorphic of the original image . for more efficiently of this work the degree of complexity of image was studied and introduced as extra property of signature. Proposed algorithm was introduced for calculating the features of signature image. Many test image were taken for test this algorithm The executive appears that this algorithm is very sensitive and accurate when we have different and similar signature images. In this paper a method of verifying signatures using a technique of neural network is presented. static of various and dynamic of signature features are added in this model. Our proposal algorithm enhanced via neural network and Elman network. In our modified our method, many parameters of detection of digital images were added. These image parameters named as Width, Area, Maximum Vertical Projection, and Fractal Dimension. Fractal dimension is considered as the degree of complexity of the shape. Fractal dimension calculated the condensation of complexity of pure points of the shape without its boundaries. The dimension of the signature is varying between 1.0025 to 1.0584. Originally the signature is belonging to R2-Space (with dimension 2). The signature is considered as one of to the fractal shape. The fractal dimension is calculated by the Theorem of Boxes Squares Counting. The fractal signature dimension added an accuracy to our method for detection many signature shapes by the number of similarities in certain properties.
Social Issues

Higher Education AbstractsVolume 56, Issue 3 p. 260-260 SOCIAL ISSUES Social Issues First published: 04 October 2021 https://doi.org/10.1111/hea.31_12174Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume56, Issue3July 2021Pages 260-260 RelatedInformation
An Entropy Model of Artificial Grammar Learning

We propose a model to characterize the type of knowledge acquired in Artificial Grammar Learning (AGL). In particular, we suggest a way to compute the complexity of different test items in an AGL task, relative to the training items, based on the notion of Shannon entropy: The more predictable a test item is from training items, the higher the likelihood that it will be selected as compatible to the training items. Our model is an attempt to formalize some aspects of inductive inference by providing a quantitative measure of the knowledge abstracted by experience. We motivate our particular approach from research in reasoning and categorization, where reduction of entropy has also been seen as a plausible cognitive objective. This may suggest that reducing (Shannon) uncertainty may provide a single explanatory framework for modeling as diverse aspects of cognition, as learning, reasoning, and categorization.
Basic Video Compression Techniques

A video can be viewed as a sequence of images stacked in the temporal dimension. Since the frame rate of the video is often relatively high, the contents of consecutive frames are usually similar. In other words, a video has temporal redundancy. All digital video compression algorithms (including H.264, H.265, and H.266) adopt the so-called motion-compensation-based video compression technique to exploit temporal redundancy. In this chapter, the fundamentals of motion-compensation-based video compression are introduced. We cover sufficient details of H.261, followed by a brief discussion on H.263. These form the foundation for all modern video compression standards.
AN ARTIFICIAL NEURAL NETWORK BASED DEVELOPMENT OF CLOUD BURST FORECASTING MODEL BY USING TIME-SERIES DATA.

Over the last decades, weather forecasting models using the numerical data of various previous years have been improving steadily to provide a more predictable and accurate model. However, the atmosphere conditions are a highly chaotic system and always vary with time and weather forecasts are a major benefit for society and sustainable development. So, in this research we focus to develop a model using the optimized Artificial Neural Network (ANN) for prediction of cloud bursting in India and developed model in known as Cloud Burst Foresting (CBF) model for forecasting of rainfall or cloud burst based on the previous record of the bursting in different state. Here the concept of Particle Swarm Optimization (PSO) is used as an optimization technique in pre-processing step to separate the previous year rainfalls data into two categories such minimum and maximum rainfalls. Basically, PSO separate the cloud burst recorded data using a novel fitness function that help to train the CBF model accuracy and if training is better, then the prediction accuracy will be high. By utilizing the concept of optimized ANN, the prediction accuracy is high in terms of percentage of correct predication and with minimum percentage of incorrect prediction. At last, the performance of the model is calculated to validate the proposed CBF model and this shows that it is possible to use ANN as a machine learning technique in order to estimate future cloud burst forecast uncertainty from past forecasts data of bursting. The main constraint in the performance of our proposed CBF model seems to be the number of past forecasts available for training the ANN.
<p>Penetration Force And Cannula Sliding Profiles Of Different Pen Needles: The PICASSO Study [Erratum]</p>

[This corrects the article DOI: 10.2147/MDER.S218983.].
Sensory Perception

One of the qualities of an intelligent system is perception ability. It refers to the ability that provides information to agents using sensors. Human beings have five main sensory organs, which include: sense organ of hearing, vision, tasting, feeling, and smelling. Therefore, to act like man, which means to possess the attributes of an intelligent system, the system must have the ability to perceive the outside world it inhabits using the five sensors, ear, eye, tongue, skin, and nose. The following sensors have been developed in artificial agents, which they share with human sense organs: vision, hearing, and touch. This chapter focuses on these three sensors of an artificial agent.
Immulite Progesterone

Biomedical Safety & Standards: November 01, 2019 - Volume 49 - Issue 19 - p 150 doi: 10.1097/01.BMSAS.0000604136.59206.68
PSG-1100 Sleep Diagnostic System

Biomedical Safety & Standards: April 15, 2021 - Volume 51 - Issue 7 - p 54-55 doi: 10.1097/01.BMSAS.0000742196.65429.1d
Afterword: The impacts of novel and emerging technologies on a pandemic

Around December 2019, the emergence of a cluster of pneumonia of unknown etiology started appearing in Wuhan City, Hubei Province of China. Subsequent virus isolation from patients and genetic analysis showed that the pathogen was a new coronavirus.How could digital healthcare technologies alleviate the deleterious impacts of this public health crisis or facilitate strategies geared at quashing this pandemic? Digital healthcare technologies have been adopted by many countries in the management of COVID-19 pandemic. Applications of novel and emerging technologies have been implemented in various facets of the response, such as surveillance, testing, contact tracing, quarantine, drug and vaccine development, clinical management, continuity of care, logistics and personnel training.
Developing Websites

There is no denying that the web is one of the most popular platforms on Earth now. There are over 1.7 billion websites on the World Wide Web. And if you look at job boards for developers, web developers take up a large proportion of it. There are already many established programming languages for building the backend: Java, PHP, Python, Ruby, Node.js, and Go, just to name a few. But Rust fits perfectly into the web domain because of a few reasons:
Detection of Hate Speech and offensive Language on Sentiment Analysis using Machine Learning Techniques

Toxic online content (TOC) has become a significant problem in current day’s world due to uses of the internet by people of distinct culture, social, organization and industries background and followed Twitter, Facebook, WhatsApp,Instagram, and telegram, etc. Even now, there is lots of work going on related to single-label classification for the text analysis and to make less comparative to errors and more efficient. But in recent years, there is a shift towards the multi-label classification, which can be applicable for both text and images. But text classification is not much popular among the researchers when compared to the grading for images. So, in this work, we are using the dataset which is going to be a short messages dataset, to train and develop a model which can tag multiple labels for the messages. Hate speech, and offensive language is a key challenge in automatic detection of toxic text content. In this paper, to contribute term frequency–inverse document frequency(Tf-Idf), Random forest, Support Vector Machine (SVM),and Bayes Naïve classifier approaches for automatically classify tweets. After tuning the model giving the best results, it achieves an Efficient accuracy for evaluating test data analysis. In this contribution of work also moderate and encapsulate paradigms which will communicate and working between the user and Twitter API. Instead of using the traditional techniques like Bag of words or word counter, a new technique which uses Tf-Idf is built to find the similarity, and the text is transformed into the vectors using Tf-Idf, and this is used to train the model using supervised learning technique along with the labels from the dataset. The accuracy of the model is quite good and more efficient with better results.
Introduction

Any software or product goes through a development life cycle. Once the product is launched it undergoes rigorous maintenance as long as it is alive and does not become obsolete. Developers are constrained to minimize the cost and risks associated with bugs (or errors) that may be detected during the development or maintenance lifecycles [1, 2]. These errors can range from simple logistics to complex non-compliance issues.