Reviewerly/exHarmony huggingface dataset:
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PENERIMAAN REWARD PADA KARYAWAN CV. MODHECOM MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

Giving bonuses to employees is a form of appreciation given by a company, CV.Modhecom which is located in Bengkulu City currently has problems in providing rewards to its employees, sometimes in giving rewards only based on initial criteria, namely: attendance, years of service, attitude under pressure and discipline and in determining employee rewards are still manual, employees are not satisfied with receiving these rewards. Based on the existing problems, the researcher makes it easy to deal with problems by using the Decision Support System (DSS) method and in order to be able to assist in calculating all the criteria when making a decision, the Simple Additing Weighting (SAW) method is used. After that, so that this research can run on CV. Modhecom then tested users by distributing questionnaires to higher-ups who usually gave an assessment of employees, at the stage of testing the quality of the system researchers used Black-Box testing and the results of hypothesis testing using the TAM model, so that it could be seen how influential the respondents were on convenience, usability and acceptance of the system that has been created. In this study, after testing, it provides convenience results for CV. Modhecom with the evidence that the effect of receiving rewards with the system made reaches 10.4%.
Correction: Huang et al. An Attention-Based Recommender System to Predict Contextual Intent Based on Choice Histories across and within Sessions. Appl. Sci. 2018, 8, 2426

We, the authors, wish to make the following corrections to our paper [1] [...]
A U-Net Based Multi-scale Feature Extraction for Liver Tumour Segmentation in CT Images

A new method for automatic liver tumour segmentation from computed tomography (CT) scans based on deep neural network is presented. Two cascaded deep convolutional neural networks are used to segment the CT image of the abdominal cavity. The first U-net is used for coarse segmentation to obtain the approximate position of the liver and tumour. Using this as a prediction the original image is cropped to reduce its size in order to increase the segmentation accuracy. The second modified U-net is employed for accurate segmentation of the actual liver tumours. Residual modules and dense connections are added to U-net to help the network train faster while producing more accurate results. In addition, multi-dimensional information fusion is introduced to make the network more comprehensive in restoring information. The Liver Tumour Segmentation (LiTs) dataset is used to evaluate the relative segmentation performance obtaining an average dice score of 0.665 based our method.
PROSPEK PENGEMBANGAN LINGUISTIK DAN POTENSI KARIER LINGUIS

This paper describes the prospects of the development of linguistics from a diachronic aspect with its various streams as well as the potential for interdisciplinary linguistics. Aspects of linguistic development start from structural to cognitive streams. The interdisciplinary nature of linguistics can be seen from the development of linguistics and its relationship with other disciplines. These developments have provided new insights for the branches of linguistics and , as a result, new research methods have emerged . This paper mainly points out the promising prospects for linguistic development in the realm of research and career as a linguist.
SOFTWARE BOT DETECTION BY KEYSTROKE DYNAMICS

Modern life depends on technologies as communication systems and computing, although have also caused the enhancement in data exposure as well as, thus leading to theft of identity. Biometric technologies become the trending solution of such problems and recommended for user authentication. The assessment of possible technologies to be targeted on keystroke dynamics that makes use recognition depending on their typing rhythm. Interactive Internet applications like online blogs have become popular in the past decade. Currently the most common form of malicious exploit and the most difficult to thwart, is the use of automated programs known as bots to automatically perform human tasks on online applications. Bots have been found on a number of online systems, including online blogging and online social networking. Bots exploit these on-line systems to send spam, spread malware, and mount phishing attacks. Software bots which emulate a web browser are often used by criminals to harvest large amounts of data from websites. They can also abuse websites in other ways, such as by mass-posting adverts or malicious links in comment forms or forums, or by placing large numbers of reservations within, say, an airline booking system in order to prevent legitimate customers from making a booking. Software bots are often used for malicious political intensions as well such as spreading a false tweet. The abuse of online services by bots has caused serious damages and posed serious threats to on-line users. So far, the efforts to combat bots have focused on two different approaches as content-based filtering and human interactive proofs (HIPs).
Wavelength-Division Multiplexed Optical Cryptocurrency

We propose an optical proof-of-work scheme that feeds data encoded into wavelength-division multiplexed modes through a programmable photonic network. We verify robustness by modeling network dispersion, allowing for energy-efficient optical al- ternatives to current cryptocurrency security schemes.
Team Building Evolved Through Group Discussion

Group Discussion is an important means to share one’s opinion, ideas and perspectives on the specified topic or an issue. It generally aims at understanding and analyzing the topic in order to get clear solution for an issue. It promotes team work, cooperation and coordination among the participants. It creates an environment where all the participants share their point of view on the specified topic which leads to a healthy and efficient environment among the team members. It also generates diversity of thought, creativity and team spirit among the members. Team building is something which connects everyone to work together effectively with cooperation of team members and also strengthen collaboration, enlarges knowledge sharing and communication. Everyone gets responsibility to share innovative ideas which would emerge more effectively and efficiently from the members. Team members are able to create a friendly atmosphere which permits everyone to speak confidently. It increases one’s motivation, creativity, improved communication and more. This is very constructive at workplace, companies, project discussions, schools, and in any other institutes or departments to conclude a perfect decision or a solution for the problems in their projects. A teamwork environment builds up unity, trust, support and cooperation which facilitate them to attain their goals and objectives.
IMPROVING STUDENTS’ MASTERY OF VOCABULARY THROUGH THE USE OF GLOSSING TECHNIQUE

The aim of the research is to improve the students’ vocabulary through the use of       Glossing technique. The design of this research is quantitative research through pre-experimental design with pre-test and post-test design This study was conducted at SMP Anugrah Tondano. The subject of the research was the second grade students in academic year of 2019/2020. The writer used reading text of Narrative text .The result of the data analysis showed that there was an increase between the pre-test and post-test. It can be seen from 10 students showed that the mean score of  pre-test was 53 and  post-test was 74 score. Based  on this finding from this study, it can be concluded that having more vocabulary significantly affects the comprehension of the students reading activity. Moreover by having many vocabulary the students can easily get the information and can enrich their knowledge by reading a lot of book. Finally, this research proved that the Glossing technique effective  to improve student’s vocabulary in reading comprehension.
Formal Semantic Model for Mobile Cloud Service System

The paper proposes a semantic retrieval model for mobile learning resources based on ontology. The model includes three modules: word segmentation of retrieval information, semantic expansion, and semantic retrieval. We describe the agent as an object node in the category theory, the interaction and dependency between the agents as a morphism, and the entire cloud service system as a type category graph. The case study shows that the framework cannot only support the modeling and analysis of the service system at the abstract level, but also support the service composition by mapping the abstract model to the realization technology, which can analyze the correctness of the requirement decomposition and service composition well. It can be used to guide the description and construction of the service system.
Pelatihan Pengenalan Microsoft Office 2010 Untuk Peningkatan Kompetensi Guru Dan Staf Administrasi SDN 170 Palembang

Microsoft office is a computer program used in office. This application is very widely used, especially by offices, business people, educators and students. Some office applications commonly used include word, excel, and power point. Based on interviews with Sri Kusniarwati, S.Pd., M.Sc. as the Principal of SDN 170 Palembang, it is known that teachers and administrative staff at SDN 170 have difficulty in using this office application, be it word, excel or power point because their ability to use computers or software related to school needs is still lacking, so training records are needed . This introduction to Microsoft Office 2010 training aims to improve the ability of teachers and administrative staff from SDN 170 and can provide additional skills that they can use not only for school needs but also as a means of developing their ability to complete their other tasks in the environment community and family. The method of implementation carried out in this activity is through several stages, namely the Preparation Stages, the Stages of the Implementation of Training Activities, and the Stages of Evaluation and Report Preparation. The results obtained from these community service activities are an increase in terms of competence from teachers and staff of Elementary School 170 Palembang
Research on talent data analysis method based on Text Mining

in order to solve the problem of low clustering contour coefficient caused by inaccurate keyword extraction of talent data information, a talent data analysis method based on text mining is proposed.Through the preprocessing of word segmentation and stop words, the text set of talent data is established, and the keyword graph is constructed by text mining, and the information keywords are obtained according to the weight iteration results.The keywords in this paper are transformed into the form of multi-dimensional vector, and the similarity is calculated to get the results of text analysis.The experimental results show that the contour coefficient of the proposed method is 0.736, which is 0.267 and 0.221 higher than that of the K-means and single pass methods, respectively.The design method of this paper has a reasonable clustering performance, which is suitable for talent big data analysis.
Pragmatic patterns in Bram Stoker’s <i>Dracula</i>

Abstract In an influential book on literary linguistics, first published in 1981 and revised in 2007, Geoffrey Leech and his colleague Mick Short discuss linguistic methods of analysing long texts of prose fiction. This article develops their arguments in two ways: (1) by relating them to classic puzzles in the philosophy of science; and (2) by illustrating them with a computer-assisted study of Bram Stoker’s 1897 novel Dracula . This case study shows that software can identify a linguistic feature of the novel which is central to its major themes, but which is unlikely to be consciously noticed by human readers. Quantitative data on the novel show that it contains a large number of negatives. Their function is often to deny something which would normally be expected, and therefore to express the protagonists’ distrust of their own senses in the extraordinary world in which they find themselves.
The Effect of Word Wall Strategy and Students’Interest on English Vocabulary Mastery

The study was conducted to find out whether thereis an effect of Word Wall Strategy and interest On englishvocabulary mastery. This quantitative research was carried outto an experimental group of Junior high school students thatwere taken by using clustering random sampling technique. Theinstrument for collecting the data was a vocabulary test that wasgiven as a Pre test and post test after the treatment. The resultproved that there was a different effect on the high intereststudents achievement from the low ones in students vocabularymastery
LibGuides: BUS 301 - Business in Action: Article Databases

The guide to to assist researchers in finding relevant resources for their experiential learning projects.
SISTEM INFORMASI SERVICE DAN PENJUALAN SPAREPART PADA BENGKEL IBRAM BERBASIS VISUAL

Motorcycle Repair is one place where vehicles such as motorcycles and cars are placed with several kinds of problems, such as needs, damage and repairs. Where the workshop is one of the most appropriate means to make motorized vehicles such as cars and motorcycles placed. In the Ibram Motorcycle Repair management system, especially in motorbike service and spare part sales, they still use manual notes and spreadsheet-based applications as applications in report processing.The problem faced at the Ibram Motorcycle Repair is how to design an application that can help in processing data services and spare parts sales properly and efficiently. The database used in this study is Microsoft Access, the software used is Visual Basic 6.0 and Crystal report. Then the outputs from service and sales are in the form of employee data reports, service data, spare part data, spare part sales data.This information system can provide ease in processing data such as data services, sales, spare parts and computerized purchases so that the work will be far more effective and efficient.
Reconstruction of small components using photogrammetry: a quantitative analysis of the depth of field influence using a miniature step gauge

In this work, authors investigated the effect of the Depth of Field (DoF) reduction, arising when the acquisition of small objects is carried out with a photogrammetry-based system using a Digital Single Lens Reflex (DSLR) camera and the structure from motion (SfM) algorithm.This kind of measuring instrument is very promising for industrial metrology according to the paradigms of the fourth industrial revolution.However, when increasing the magnification level, necessary for the reconstruction of sub-millimetric features, there is a corresponding decrease of the DoF, leading to possible effects on the reconstruction accuracy.Thus, the effect of the DoF reduction was analysed through the reconstruction of a well-known artefact: the step gauge.The analysis was conducted considering the theory behind the DoF concept, the analysis of the 2D images, input of photogrammetric reconstruction and, finally, the results in terms of dimensional verification of the reconstructed step gauge.
Routing Strategies for High-Fidelity, Multiplexed Quantum Networks

We recently introduced a “quantum router” architecture that improves entanglement fidelities in chains of multiplexed repeaters. Here, we address local entanglement routing across general network graphs of routers to optimize entanglement rates and fidelities.
СРАВНИТЕЛЬНЫЙ АНАЛИЗ УРОВНЯ САМОРЕГУЛЯЦИИ НА ОСНОВЕ ВЫБОРОК ЖЕНЩИН РОССИИ И КАЗАХСТАНА

The article presents a study of the level of self-regulation in samples of Russia and Kazakhstan and compares the results. The concept of self-regulation is revealed from the point of view of the development of ideas about the phenomenon. Self-regulation styles are described as sustainable ways to control the course of activity.
Service Planning Approach and Its Application

Abstract In the first phase, SERVIR-HKH placed high importance on developing application products and tools to demonstrate the usefulness of earth observation (EO) and geospatial information in supporting decision-making on various thematic areas including land cover mapping, forest fire monitoring, agriculture and food security, disasters, and air quality monitoring (Chap. 10.1007/978-3-030-73569-2_1 ).
Reform and Exploration of International Business English Teaching Mode in Higher Vocational Colleges Under Internet Plus Mode

In the era of Internet plus, Internet information technology has been widely applied in the field of education. Basedon this background, this paper expounds the teaching concept of semantic association big data applied tointernational business English Teaching in Higher Vocational Colleges under the Internet plus environment. Thispaper discusses how to apply the semantic association big data classroom teaching mode to international businessEnglish Teaching in Higher Vocational Colleges from three aspects of teaching methods, learning mode andevaluation system. This paper constructs the first, second, third and fourth classroom of International BusinessEnglish teaching. The experimental study shows that the blended learning model based on learning platform andthe multiple teaching evaluation system can effectively solve the problems in traditional international businessEnglish teaching, thus providing a path to optimize the teaching effect.
The Degree of Practicing Ethical Leadership by Secondary School Teachers in Jordan: Teachers’ Perspectives

This study aims to identify the degree of practicing ethical leadership by secondary school ‎teachers in Jordan from their perspectives. To achieve the objective of the study, the survey ‎method has been used. Due to the nature of the study, a questionnaire is developed and a simple ‎random sample consisting of (1727) male and female teachers is selected. The results of the study ‎show that the degree of practicing ethical leadership by secondary school teachers in Jordan from ‎their perspectives is of high degree.‎In light of the results of the study, the study has recommended developing training programs for ‎teachers for all educational stages based on the principles and practices of ethical leadership ‎among teachers, motivating teachers who use effective methods in promoting values and ethical ‎character among their students with moral and financial incentives, and conducting more studies ‎on ethical leadership and the degree of its practice in the elementary and preparatory educational ‎stages, and about ethical leadership and its relationship to other variables.‎
On-chip online learning and inference for photonic pattern recognition

Recent investigations in neuromorphic photonics exploits photonics for neuron models. Here, we experimentally demonstrate a silicon photonic chip that can perform training and testing of a Hopfield network to reconstruct corrupted input patterns.
Analysis Of The Use Of X-Means Method In Grouping Interest And Talent Data Students

The X-Means algorithm is an algorithm used for grouping data. The x means algorithm is the development of k-means. X-means clustering is used to solve one of the main weaknesses of K-means clustering, namely the need for prior knowledge about the number of clusters (K). In this method, the true value of K is estimated in an unsupervised way and only based on the data set itself. The research results using the X-Means algorithm with Davies-Bouldin Index evaluation Determination of the number of Centroid clusters is done by modifying the X-Means method. In grouping this data, clustering is performed on each student data of the collected variables. Each student's gift and interest will be matched with the college and department of what each student is interested in
DIE DIGITALE MOZART-EDITION (DME)

The Digital Mozart Edition unites various, interdisciplinary and freely accessible projects under one roof. All subprojects, like DME::Letters & Documents or DME::Music, aim at ensuring a versatile and long-term reuse and therefore are based on XML formats like TEI and MEI.
Nimbus: A Modern Solution For Server Management

As NodeJS have taken a face in order to serve the client and server by using concept of API and REST API after the elixir and phoenix framework. As there is a large gap between these two services that are holding back the servers. So, we have come up with an solution to cover that gap by using some addons. As we all know that node have limitations like It can’t handle multi-threaded tasks & also doesn’t have support to handle very high computationally intensive task over servers. That gap has been filled by elixir but there are less developers and that framework need some more experience in that same framework. Our solution is simple we are using Rust that is newly introduced language with powerful concepts and can be used to fill the gap by using it as an addon with NodeJS. On top of that server, we are building an android application as well to show a proper server client model. Application Description: The era of mobile technology opens the windows to the android app and websites are vanishing and the mobile phones are emerging. It’s the time to change from conventional websites to app, which has become the part of our daily routine. We are introducing an android application software which would help in time consuming and other things. It is type of app in which if any person is outside and want to get anything which will be available outside, with the help of this app the person will be able to get to know by seeing what I want to purchase from outside with the help of request-based features of this application.
Analysis of the importance and satisfaction of online lecture service quality according to the COVID-19 situation

This study applies online lecture service quality factors to IPA analysis, analyzes importance and satisfaction, and prepares and analyzes the epidemic corona era through classification of maintenance items, concentration items, low priority items and excess items to demonstrate. Provide the data. I have a research purpose to do it. In this study, a population was set for students who participated in university online classes by reinforcing social distancing in the corona-19 outbreak, and a questionnaire was conducted centering on college students in the G area from January to February 2021 using a convenient sampling method. I did. A total of 220 copies were used for the final study. Among the sub-factors of the importance of online lecture service quality, learning accessibility (M=4.41) was the highest, and learning convenience (M=4.31), administrative services (M=4.29), teaching methods (M=4.27), and learning usefulness (M=4.09). As for the sub-factors of online lecture service quality satisfaction, learning accessibility (M=4.13) was the highest, teaching method (M=4.10), learning usefulness (M=4.03), administrative service (M=3.96), and learning convenience (M=3.95). First, there is currently an important and satisfactory strength, but it must be maintained and supplemented for continuous competitiveness. Second, a plan to increase the acceptance rate, such as familiarity with the viewing manual, database server, and update, should be sought, and academic management should be planned in accordance with the technical limitations of online. Third, it should not be neglected regardless of the results of the professor