Reviewerly/exHarmony huggingface dataset:
Teaching evaluation model design and data analysis based on the concept of "Postioning as the Core, Designing as the Soul" : —Take the science and engineering course "Signals and Systems" as an example

Science and engineering courses are very important for students to improve their working thinking and to engage in professional research in the future. However, the reasons for the difficulty of formulas and the disconnection of practical theories often lead to poor learning effects. With the continuous development of multimedia and digital information technology, blended teaching has emerged combining the advantages of online courses and offline classrooms, which has strongly promoted new progress in science and engineering courses. In contrast, the existing literature lacks a model that can quantify the evaluation of students’ learning effects, and lacks strong data analysis as a support. This article will take a typical science and engineering course "Signal and System" as an example, and put forward a new hybrid teaching concept of "Postioning as the Core, Designing as the Soul". In order to effectively illustrate the reliability of the concept, the following test experiments will be designed: On the one hand, the amount of barrage during online learning is used as the research object, and a measurement model of student participation in the classroom is designed, and the effect of teaching implementation can be reasonably evaluated through the calculation results. On the other hand, taking the student performances collected by our group in two semesters as the research object, four sets of data are obtained through statistical calculations to scientifically analyze the feasibility of the blended teaching concept model proposed in this article. In summary, the quantitative analysis of educational effects is realized by designing the evaluation model of students’ learning effectiveness, and then the inevitable trend of the development of blended teaching is effectively displayed.
Correction: A novel scaling methodology to reduce the biases associated with missing data from commercial activity monitors

[This corrects the article DOI: 10.1371/journal.pone.0235144.].
Python Properties

Many object-oriented languages have the explicit concept of encapsulation; that is the ability to hide data within an object and only to provide specific gateways into that data. These gateways are methods defined to get or set the value of an attribute (often referred to as getters and setters). This allows more control over access to the data; for example, it is possible to check that only a positive integer above zero, but below 120, is used for a person’s age etc.
Cyber-Terrorism Law, Implementation and Ways Forward

This research paper is concerned with focused critical analysis of cyber terrorism laws in Pakistan. Cyberspace is now becoming a battlefield where terrorists are active on dark net and using digital tunnel for which every country of the world has to take necessary steps for global peace, in the same way Pakistan needs an effective legislation and its efficient implementation. We explore here some crucial questions regarding cyberterrorism threats, cyber terrorism laws, implementation challenges and some recommendations based on current situation as well as a slight glance on future perspective of the topic Cyber terrorism law, implementation and the ways forward
Information circuits

The aim of the chapter is to show practical examples on the use of information analogies. First, an example from the field of transport telematics is given, followed by a second example describing the resonance between long-term and short-term memory. Finally, a generalized knowledge cycle is presented, on which the dynamic stability of complex systems is demonstrated.
Future Cinema: The Transition From Film-Making To Experience-Making Experiencing Alzheimer's Through Immersive Design For Emotions And Empathy In Extended Realities

Demographic projections of many western democracies show them to be aging nations. To keep thriving we must ensure that our citizens are aging in a healthy manner without isolation from society. This means, in turn, that we must increase our understanding for the experience of aging in society. Alzheimer’s disease is one of the most misunderstood conditions for our aging populations, and is a problematic condition for caregivers and family members to support. This MRP seeks to build extended reality experiences that immerse users emotionally in some of the symptoms of aging and Alzheimer’s to build understanding and empathy. The project seeks to use mixed reality to make a positive social impact on the general population.
Commentary

While I make interesting claims in this paper, it suffers from the problem that the instances represent not one phenomenon but a variety of phenomena. I was intrigued by several fragments of interaction in which participants reported their source or basis for their assertions, and I started collecting more instances of that. However, in making the collection, I neglected to take into account the sequential contexts in which speakers report their sources, and I shortchanged my analysis of the actions accomplished by reporting the source or basis. The result is that the paper has different sections describing various uses rather than being an entire paper dedicated to one phenomenon. In this commentary, I clarify the various sequential contexts in which participants report a source or basis for an assertion, sequential contexts that are essential for understanding their uses....
Implementation of COBIT 5.0 for Information System Analysis in Pakuan University

Pakuan University currently has an Academic Management Information System (SIMAK) that used to manage all lecture activities, from Scheduling, Lecture Activity, to Final Assessment. The purpose of this research is to analyze the extent of maturity of SIMAK. The application of the COBIT 5.0 Method is used to further improve the effectiveness of each activity, ensure the objectives achieved, provide recommendations in the future, unite stakeholder agreements in evaluating the results of activities, and provide strong support for the overall activities. There is also one domain that is used is the domain Deliver, Service, and Support (DSS). Based on the results of the analysis, the level of capacity of the process of activities carried out is at level 3 or a established process. That can be increased to level 4 or the predictable process. Therefore, the recommendation is to make a quality assurance document or performance appraisal every semester, simplified content by eliminating duplication, monitoring and analysis of demand documents and disseminating to all user including lecturers and students about the importance of maintaining data security
EFFICACY OF UPPER LIMB ROBOT-ASSISTED THERAPY COMPARED WITH CONVENTIONAL THERAPY IN STROKE PATIENTS: PRELIMINARY RESULTS ON A DAILY TASK ASSESSED BY MEANS OF MOTION ANALYSIS.

QoS-aware service composition aims to satisfy users’ quality of services (QoS) needs during service composition. Traditional methods simply attempt to maximize user satisfaction by provisioning the composite service instance with the best QoS. These “best-effort” methods fail to take into account that there also exist other consumers competing for the service resources and their decisions of service selection/composition can impact on QoS. Since user's QoS needs can be met once the demanded level is reached, in this paper, we propose an “on-demand” strategy for QoS-aware service composition to replace the traditional “best-effort” strategy. The service broker is introduced to facilitate implementation of this strategy: it first purchases a number of service instances for each component from providers and then provisions the composite services with different QoS classes to consumers. This paper focuses on how the broker follows the service level agreement (SLA) to provision composite services in the “on-demand” manner. This problem is formally expressed as the minimization of the QoS distance function between SLA and QoS of composite service instances, under a series of constraints. Heuristic approaches are proposed for the problem and experiments are conducted at last to verify their effectiveness and efficiency.
Devlopment of Exemplary Chatbot

Chatbots By the means of development and applications everyone needs to know the importance of chatbots.The goalis to answer after developing the chatbots by analysing existing platforms and technologies. Describing chatbots helps people to create chatbot and use them for ashowingand therebyacceleratethecreation of the chatbotecosystem.first need to define,the first half of the work by focuses on showing visible platforms, products and technologies, the second half of creation helps the development including user creation and system architecture.
A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation

The need to evaluate the ability of context-aware neural machine translation (NMT) models in dealing with specific discourse phenomena arises in document-level NMT. However, test sets that satisfy this need are rare. In this paper, we propose a test suite to evaluate three common discourse phenomena in English-Chinese translation: pronoun, discourse connective and ellipsis where discourse divergences lie across the two languages. The test suite contains 1,200 instances, 400 for each type of discourse phenomena. We perform both automatic and human evaluation with three state-of-the-art context-aware NMT models on the proposed test suite. Results suggest that our test suite can be used as a challenging benchmark test bed for evaluating document-level NMT. The test suite will be publicly available soon.
Decision Support System for Determining the Best Wood For the Production Cabinet Using Bayes Method: Decision Support System for Determining the Best Wood For the Production Cabinet Using Bayes Method

Wood in the furniture company is a material that is needed in the manufacture of a product, for example in the manufacture of cabinets or other furniture products. Furniture companies at this time often have problems in determining wood for good quality and lack of knowledge in good wood specifications to be used as materials for making wood crafts, furniture companies only think of orders and do not consider the results of craftsmanship produced from raw materials is wood where to determine a production in order to get quality that is of a quality wood drought must be considered.
Using Augmented Reality for Teaching Chemistry

Different technologies have been implemented in the educational sector to improve the method of teaching and learning. Augmented reality is one of the most trending technologies in the f ield of computer graphics and is used in different departments, especially in education as a smart learning environment. Augmented Reality (AR) technology has effective potential that enhances and replaces the old way of learning into a new digitized smart learning environment by converting the school books into a virtual 3D environment containing experiments and object having animation, which helps students extracting and absorbing complex concepts in less amount of time. AR is a computer vision-based technology that works by tracking the surrounding using a smartphone camera and then superimposing virtual 3D objects into the real world. Capabilities of Augmented Reality make classes more engaging, collaborative, and interactive. Studying may not be every student's cup of tea but with the help of smart learn- ing environment school lessons become much more interesting, interactive, and fun to learn. This research gives a brief insight that the interactive AR chem- istry application may lead the students to grasp diff icult concepts of chemistry more easily in an entertaining and engaging ways.
Model for Pervasive Social Play Experiences

Game-inspired applications use fun to motivate user participation in activities designed to achieve specific objectives. In this sense, there is a spatial, temporal, social framework, and a set of rules that guide user participation and interaction. Recently, pervasive computing has become a key element to explore new interaction schemes in game inspired applications. By making the concept of space and time ambiguous and confusing, it allows building new mechanics that engage the participant with innovative elements and consequently produce a different, in some cases, more interesting and entertaining experience. This research describes the social expansion as a strategy to enhance game experiences supported by pervasive computing, thus exposing a conceptual model that shows its components, how they relate, and what is the flow of interaction that a user experiences when he or she gets involved; among the most important aspects to consider is the incorporation of a new role to the traditional game mechanics, the spectator. The incorporation of the spectator offers us the opportunity to promote communication schemes with the players, strengthen the affinity ties between spectator-player and expose a series of premises to build pervasive game mechanics.
FACTORS AFFECTING EFL LEARNERS’ CONFIDENCE IN SPEAKING ENGLISH AT THE MEC ENGLISH COURSE BANJARMASIN

This research was conducted to determine the factor of English language confidence among EFL students at an English course in Banjarmasin. In particular, it seeks to identify what factors can increase self-confidence in an English learning environment based on a student's perspective. The method used in this research is a qualitative method with an interviewing study approach. Four students who were nervous were selected as participants. Data collection was carried out through structured interviews and classroom observations. The results showed that speaking in front of the class, being laughed at by other people, incomprehensible input, students 'beliefs about language learning, teacher personality, and lack of preparation were six factors that could affect students' confidence in learning English.
Performance Analysis of Feature Selection Techniques for Text Classification

Internet is a suitable, highly available and low cost publishing medium.Therefore a significant data is hosted and published using websites.In this domain some amount of data is directly present for common people and some of data is not publically distributed.Such kinds of data are utilizable by service providers and administrators for business intelligence and other similar applications.In this presented work the web data analysis or mining is the key area of investigation and experimental study.The web data mining can be dividing in three major classes i.e. web content mining, web structure mining and web usages mining.In this work the web content mining and web usages mining is taken into consideration.First of all the web content mining is explored thus a system is developed for making comparative performance study of different content feature selection techniques.In this experiment the GINI index, Information Gain, DFS and Odd Ratio is compared using a real world collection of web pages.In order to classify the extracted features from the web contents the SVM (Support Vector Machine) is applied.The comparative study demonstrates the IG and GI is the suitable feature selection techniques that work well with the SVM classifier.
Findings of the first shared task on lifelong learning machine translation

A lifelong learning system can adapt to new data without forgetting previously acquired knowledge. In this paper, we introduce the first benchmark for lifelong learning machine translation. For this purpose, we provide training, lifelong and test data sets for two language pairs: English-German and English-French. Additionally, we report the results of our baseline systems, which we make available to the public. The goal of this shared task is to encourage research on the emerging topic of lifelong learning machine translation.
DESIGNING WEBSITE-BASED MOBILE APPLICATION USING QUICK SORT AND INSERT SORT METHODS IN ASSIPA DRUG STORE, KARANG ANYAR, SOUTH LAMPUNG

The implementation of the data sorting methods were in the form of bubble sort algorithm , insertion sort algorithm , quick sort algorithm , merge sort algorithm , heap sort algorithm , shell sort algorithm , radix sort algorithm , tree sort algorithm , and maximum sort algorithm . Assipa Pharmacy was the drug store which conducted the transactions with more than 100 consumers per day with general purchases (with a green symbol) through a doctor's prescription (with a blue and red circle symbol through the letter K). Assipa Pharmacy had approximately 200 medicinal products with various types of brands. The problem statement of this study was that there was a difficulty on sorting data (e.g., drug products, manufacturers, composition, indications, dosages, drug administration, certain drug interactions) and required a long time in searching this drug data. The objective of this study was to design web-based mobile application using the quick sort and insert sort method in Assipa Drug Store, KarangAnyar, South Lampung. The website-based mobile application was designed on a website containing the data of drug and consisting of a quick sort and insert sort method on the products page so that the data of the drug was able to be accessed through a desktop or mobile (android). Moreover, the prototype software development method and the programming languages were Java, PHP, HTML, and the MySQL database. This software was tested through a black box with 5 components e.g., function and button testing, interface test, loading performance and behavior test, structure and database test, and initiation test and termination. Keywords:Data Ordering, Medicine, Prototype, HTML
Introduction to the special section on image processing in security applications (VSI-ipsa)

In this paper, a multidimensional data hiding scheme exploiting modification directions (EMD) that can embed high payload information without causing much distortion, is proposed. Traditional, EMD embeds a secret digit represented in the (2n+1)−ary system has a maximum 1.161 bpp payload. In the proposed work, a secret-digit represented in the n3−ary notational system is hidden, on a group of 3 pixels that are chosen based on a random sequence yields a payload of log2(n). Hence, an increase in the dimension, n− of the neighborhood set results in the increased payload. We have conducted extensive experiments on the standard image set to verify the embedding efficiency and visual quality of the stego image. The PSNR of the proposed algorithm for embedding 2.3219 bpp in a cover image of 512 × 512 is 45.13 dB, which implies that the visual quality of the stego image has not degraded even for large payloads. We have also verified that the proposed technique is undetectable during steganalysis.
FASE-1: IMPLEMENTASI STANDAR ATURAN PEMODELAN UML SEBAGAI DASAR SPESIFIKASI KEBUTUHAN DI EFARMING CORPORA BANDUNG

In Phase 1 of this Abdimas, activities focused on the general analysis presented through system modeling rules and data modeling. This activity will have an impact on the next Abdimas phases. There is a problem focus on how to describe the system and the process of sending data. There was a problem in analyzing the requirements specifications in the process of sending agricultural activist data to its members. In general, the objectives regarding the potential/opportunities for empowerment of farmer members in the EFarming Corpora community can be increased by identifying requirements specifications, which will be defined through the creation of system modeling and data modeling. There is an adoption of the method through modification is carried out for Phase 1 of the Regular Scheme of community service activities, which will provide understanding to farmer activists in the Bandung Corpora Efarming Environment regarding information technology to support Farmer Community activities. The discussion of material implemented in this community service partner includes several supporting results in the next phase. This discussion is the basis for development that can be explored in the System Development Life Cycle stage, through the support of the Software Requirement Specification, Elicitation, Requirement Statement, Software Modeling, and Software Prototype. In its implementation, for Phase 1, Abdimas has a form of activity resulting from several activities: scientific training, a compilation of required information systems, and surveys and analysis of industrial needs.
Non-Autoregressive Grammatical Error Correction Toward a Writing Support System

There are several problems in applying grammatical error correction (GEC) to a writing support system. One of them is the handling of sentences in the middle of the input. Till date, the performance of GEC for incomplete sentences is not well-known. Hence, we analyze the performance of each model for incomplete sentences. Another problem is the correction speed. When the speed is slow, the usability of the system is limited, and the user experience is degraded. Therefore, in this study, we also focus on the non-autoregressive (NAR) model, which is a widely studied fast decoding method. We perform GEC in Japanese with traditional autoregressive and recent NAR models and analyze their accuracy and speed.
On the weight distribution of some minimal codes

Minimal codes are a class of linear codes which gained interest in the last years, thanks to their connections to secret sharing schemes. In this paper we provide the weight distributions and the parameters of families of minimal codes recently introduced by C. Tang, Y. Qiu, Q. Liao, Z. Zhou, answering some open questions.
Enhanced hotel recommendation method addressing the deviation between overall rating and detailed criteria ratings on Tripadvisor.com

User rating information on multiple predefined aspects gathered by hotel recommendation systems generally shows a deviation between the overall rating and detailed criteria ratings. In this study, to address this deviation, we proposed a novel hotel recommendation method that clusters users with different preferences into different groups using the K-means algorithm. Moreover, we allocated weights to different criteria and obtained a comprehensive score. A case study on actual data from Tripadvisor.com showed that compared with three other models, our proposed model demonstrated a more impressive performance. This research can offer advantages to hotel service providers and customers in terms of decision making.
HEAVY METALS DEACTIVATION IN SOILS WITH THE HELP OF VARIOUS HUMUS

The article provides information on the quality and quantity indicators of soils in the regions of JSC "Almalik mining and Metallurgical Combine" and the fact that Cu, Mn, Zn, As, Pb elements increased in soils compared with control, Ca and Mg elements decreased in comparison with control.Cu, Mn, Zn, As, Pb elements have a toxic property and a decrease in the amount of Ca and Mg calcium in the soil in order to reduce the amount of toxic substances in the form in which plants absorb, taking into account the fact that plants adversely affect biophysical and biochemical processes occurring in the corresponding cells and tissues, concrete and humate potassium.