Reviewerly/exHarmony huggingface dataset:
A Short-term Longitudinal Study on the Effects of Teacher's Feedback in Writing Classes: Focused on Online Classes for Undergraduate International Students

This study analyzes how the correctional feedback provided by the teacher affects the error reduction and writing improvement of undergraduate international students. Many learners said they wanted to receive direct feedback, but what was more helpful for their writing was indirect feedback. Feedback about composition of the writing was regarded more important, followed by content of writing, sentence structure, grammar error, spelling and vocabulary error, and word spacing. The error patterns were different depending on the feedback time and class. The number of writing, grammar, and word spacing errors decreased in the multinational class compared to the Chinese students class. It was found out that feedback accompanied by positive evaluation helps to strengthen their writing skills.
Utilization of Kodular for Android-Based Student Presence Application Development

One indicator of success in an educational institution is attendance. In collage the process of assessing an attendance can be recapitulated where in attendance recording is useful for student discipline assessment. This study aims to build student attendance applications by utilizing kodular in the development of android-based applications. Kodular which has provided tools to creat android applications with the concept of drag-drop block programming so that there is no need to type program code that makes it easy for users to create android applications. The use of this application uses a smart phone during the attendance process. The presence system design is made by utilizing Quick Response Code technology which will be scanned by students during lecture hours. This application is equipped with security using the GPS (Global positioning syste) feature which is useful for minimizing fraud committed by students. There is a location point that can be determined in the application so that students who do the attendance process outside the predetermined location will fail when making attendance..
Application of Virtual Assistant Academic Activities Of Students And Lecturers Based On Web And Mobile

Academic activities are daily operational activities that occur in an educational institution, especially in universities. Academic activities must be carried out by students and lecturers. Within the scope of academic activities at the Faculty of Engineering, University of Muhammadiyah Bengkulu, the media used to convey information on the current academic schedule no longer uses bulletin boards but uses social media, namely whatsapp. Although academic activities are routine, it is still common for students and lecturers to forget the schedule of academic activities. To overcome this, the Faculty of Engineering requires a personal digital assistant application (virtual assistant) as an accurate, efficient and portable reminder. The virtual assistant application that is built consists of two platforms. First, the mobile platform used by lecturers and students to view some academic agenda information and receive real-time information/announcements and notifications/alarms related to academic activities. Second, the web platform used by the Administration to broadcast announcements or invitations to mobile application users. Based on the test results, the virtual assistant application can run on two platforms.
Election Decision Support System Election Management Devices (Elections) Kaur District

Law number 15 of 2011 concerning General Election Organizers states that the election organizer is an institution that organizes elections consisting of the General Election Commission and the Election Supervisory Body as one unit. Elections that are stored in Regency/City are called Regency/City KPUs as described in Law No. 15 of 2011. In sending the KPU, the KPU is assisted by the Election Committee (PPK), Voting Committee (PPS), and Voting Organizers (KPPS). ) as described in Article 3 of the General Election Commission Regulation Number 3 of 2018. These PPK, PPS, and KPPS were established directly by the Regency/City KPU as stated in Article 10 paragraphs 1 to 3 of Law No. 15 of 2011. Currently the formation and the selection process for some of these institutions is still manual. Currently there is an instrument that will assist in supporting decisions based on mathematical calculations called the Decision Support System (DSS). DSS is a system that functions to provide information, predict, and direct options to information users in order to make decisions.
The Impact of the Project Method on the Development of Leadership Skills in Students

The article examines the influence of the project method on the development of leadership skills of students. The information on using the project method in high school and specifics of development of the leader’s personality in student age is analyzed. A set of research methods was used: pedagogical experiment, testing, observation, Student’s t-test. The study involved 292 people. The predominance of medium indicators of leadership skills of respondents was revealed. Such components as motivation for success and volitional self-control were the least developed. After conducting a formative experiment in the control group, no significant changes were found in all the studied parameters of leadership. In the experimental group, where individual projects were implemented, positive changes were recorded only in the component of motivation for success. The method of group projects has demonstrated effectiveness for the development of all the studied skills, except volitional selfcontrol. The significance of all detected changes is at the level of p=0.05, which determines the need for further modification of the method used. Areas of improvement of group projects are prevention of possible conflicts, complication of educational assignments, realization of qualitative discussion of the final result, taking into account the connection of activity with the specifics of professional training. The obtained data can be used in the practice of teachers and psychologists of higher educational institutions (HEIs) in the development of the leadership skills of students. Further prospects for scientific research include studying the leadership competence of students and finding the correlation of leadership skills with the structural components of personality.
Dynamic Linkage(s) between Financial Innovation and Efficiency of Deposit Money Banks in Nigeria

The emergence of new technologies, changing customer expectations, and regulatory imperatives, among others, have driven the financial industry into an era where "digital innovations" thrive, culminating in the emergence and growth of innovative products such as agency banking, mobile/internet banking, mobile money, unstructured supplementary service data (USSD), just to name a few. There is increased customers' reliance on e-channels. This has further established the need for banks to engage in financial innovation for relevance, competitiveness, efficiency and growth. This study, therefore, examines the dynamic linkage(s) between financial innovation and the efficiency of deposit money banks (DMBs) in Nigeria. The population of the study comprises the 13 listed DMBs in Nigeria as of 31 December 2021, and these serve as the sample size. The period covered is 48 months -2016 and 2019. Data were collected from the bank's annual reports and Apex bank's statistical bulletin. Descriptive statistics, correlation and autoregressive distributed lag (ARDL) cointegration techniques were used for data analyses. The efficiency of DMBs was estimated using data envelopment analysis (DEA). Findings reveal that financial innovation has forward and backwards dynamic linkages with the efficiency of DMBs in Nigeria.
Information System Self Acces Center (SAC) Language Center Muhammadiyah University Bengkulu

Self Access Center (SAC) is an independent learning tool to access various knowledge outside the acquisition of material in the central classroom to access various knowledge independently without teacher guidance. Self Access Center Language Center University of Muhammadiyah Bengkulu (UMB) is one of the training and test institutions in Bengkulu, Self Access Center data processing requires a lot of accuracy so that there are no errors in data processing. The Self Access Center (SAC) of the University of Muhammadiyah Bengkulu said that there was no information system for processing the Self Access Center (SAC) data, all the TOEFL Self Access Center (SAC) test registration processes were still carried out manually. This study examines how to design a Self Access Center Information system for the Language Center of the University of Muhammadiyah Bengkulu. The purpose of this study was to design a Self Access Center Information system for the Language Center of the University of Muhammadiyah Bengkulu. The development model used is the Rapid Application Development (RAD) method. PHP programming language and MySQL database have been well designed so that they can be implemented. The results of this study are the new system replaces the old system by overcoming the weaknesses in the manual system (the old one), then the system provides convenience for UMB Self access center administrative officers in accessing stock and making reports, thus making the work of UMB Self access center administrative officers be effective and efficient.
Web-Based Geographic Information System for Landslide Prone Areas in Bengkulu Province

Bengkulu Province is one of the areas prone to disasters.Based on the data from Regional Disaster Management Agency (BPBD) in year 2020,eight of ten regencies in Bengkulu province are included in the high risk class for landslides, and two others are in the medium class.The lack of information received by the community about the location of the landslide disaster resulted in a high level losses suffered by them, both human and material casualties.Therefore, a web-based geographic infomartion system application was made.The existence of GIS combined with web design and web mapping is expected to be a means to facilitate the delivery of relevant and approprite information for all parties that need it.The results of the study indicate that the application can run well and display maps and information on the number of landslides per year in all regencies of Bengkulu Province.
Cinema 21 Movie Trailer Catalog Application Android Based

In this global era, the internet has penetrated various fields such as social, advertising, and business. With a large number of films, a film genre classification is made to assist users in finding and selecting the right films to watch. The genre in the film is the main element in a recommendation system, because with the classification of genres it can make it easier for the system to search for a film based on certain types. The string matching method, which is part of the string search process, plays an important role in getting documents that match your information needs more quickly. Simply by using a smartphone and internet access, people can enjoy various information on movie trailers. Then the problem is formulated how to make an android-based cinema 21 movie trailer catalog application with a string matching algorithm. Can improve better service to consumers, where consumers are expected to be able to access online so that consumers can find out information about movie trailers on the application.
The Factors Affect the Implementation of English Teaching Strategies before and during Covid- 19 Pandemic Era

This study was conducted to know and identify the challenges faced by teachers in teaching English in the current curriculum change. The research method that will be used is the descriptive qualitative method. The subjects are 102 teachers in SMA/MA/SMK/equivalent in South Sulawesi Province. Data obtained from essay questions were analyzed through qualitative data analysis techniques through coding. The results of the analysis were in the form of a description of the factors that affect the implementation of English teaching strategies before and during the Covid-19 Pandemic era. This description will be useful for learners, teachers, policymakers, and foreign language learning theorists. The results of the study indicate that many factors affect the teacher’s strategies in teaching English in the current curriculum change (before and during the Pandemic Covid-19 era). The factors come from students’ conditions, teachers’ conditions, school conditions, environmental conditions, materials conditions, learning process, administration process, and technology implementation.
Sentiment Analysis on Product Reviews from Shopee Marketplace using the Naïve Bayes Classifier

Online shopping has become a popular shopping method ever since the number of internet users increased. Online shopping activities have become very easy and flexible because they can be completed anywhere and anytime. The products provided are also complete. The products sold often do not always match the actual conditions because the product can only be seen through pictures. Users who have purchased a product can share their opinions using the review feature. However, the products purchased thousands or millions of times have many reviews. To take an overview of the product, it is essential to go through every positive and negative review, which takes a lot of time and effort. Reviews of products from the Shopee marketplace will be classified into positive or negative sentiments towards women's home wear clothing or house dress in this study. The research starts with data crawling, text preprocessing, training data, testing, and evaluation model and then concludes with a general description based on the most frequently discussed topics in the reviews for each sentiment class. Classification is done using the Naïve Bayes Classifier algorithm. The accuracy obtained is 90,03%. The total dataset is 2907 data.
On Some Issues of the Electronic Slip

This article considers some main issues about the electronic slip. It attempts to clarify the legal nature of the electronic slip. The specific features about the form, content, requisites, and the procedure for issuing an electronic slip are analyzed. A distinction is made between an electronic slip, an act for establishing an administrative offence, and a penal decree, emphasizing the peculiarities of the electronic slip. Practical questions regarding electronic slips are discussed, and proposals for improvement of the legislation are made.
Complexity in Interactive Art: In Search of a Digital Aesthetic

A growing number of studies, scientific as well as cultural, address the complexities of computer-generated art and aesthetics. Despite the fruitfulness of these investigations into – among other things – the fascinating new interplay between the work of art and the audience, there exists, to my knowledge, almost no systematic exploration into what might be called the a priori components of digital aesthetics. The sound qualities experienced are thus relative to the natural distribution of materials within the installation’s venue, and sound becomes, as it were, a way to partition, scan or compose a spatial plane. In its totality, the space is further divided into eight zones, each of these associated with one of the eight strongest frequencies in the activated resonance spectrum. Physical disturbances caused by the viewer consequently interfere with the spectral sections, which in turn create complex, sonic patterns, chords and percussive effects.
TOWARDS VERIFYING NETWORK TIMELINESS

Today's networks should meet strict real-time requirements.The reliability of emerging computing use cases such as autonomous vehicles, IoT, and cloud-based systems, for example, hinges on the ability of the network to deliver information to devices in the right time frame.Formal reasoning about the timeliness of networks is challenging.Despite significant progress towards building various network verification frameworks, e.g., via applying model checking (exhaustive exploration of an abstract mathematical model of the network), the scale of networks and classes of properties that can be formally verified remain limited.Crucially, the existing network models abstract away the notion of time (essential for verifying real-time properties) and focus instead on a narrower set of logical properties.Real-time properties are strictly stronger-and computationally more expensive-to verify because the events that affect them (such as congestion) can change rapidly and require more refined models of the network.Larger models, in turn, increase the complexity of formal model verification techniques.In practice, to sidestep the scalability and expressiveness limitations of formal verification, testing is used extensively to check some basic properties (such as reachability) of large-scale networks.Despite its great scalability, testing has well-known shortcomings including low coverage of state space and the postmortem detection of major violations.It is, therefore, not surprising that sweeping network failures and violations of critical invariants regularly transpire despite various testing and monitoring systems being "always-on".Availability and maintaining service level objectives (SLOs)-contingent on meeting real-time requirements-continue to be the biggest challenges facing operators today.We argue that verifying real-time properties of critical networks requires the strengths of both approaches: it requires the coverage of verification techniques such as model checking as well as the speed and scalability of testing.This paper outlines the desired properties for such a hybrid technique and the challenges for achieving them.
Characterizing the Response Space of Questions: data and theory

The main aim of this paper is to provide a characterization of the response space for questions using a taxonomy grounded in a dialogical formal semantics. As a starting point we take the typology for responses in the form of questions provided in \cite{lupginz-jlm}. This work develops a wide coverage taxonomy for question/question sequences observable in corpora including the BNC, CHILDES, and BEE, as well as formal modeling of all the postulated classes. Our aim is to extend this work to cover \emph{all} responses to questions. We present the extended typology of responses to questions based on a corpus studies of BNC, BEE, Maptask and CornellMovie with include 506, 262, 467, and 678 question/response pairs respectively. We compare the data for English with data from Polish using the Spokes corpus (694 question/response pairs). We discuss annotation reliability and disagreement analysis. We sketch how each class can be formalized using a dialogical semantics appropriate for dialogue management.
A deep learning content-based image retrieval approach using cloud computing

Due to the rapid growth in multimedia content and its visual complexity, contentbased image retrieval (CBIR) has become a very challenging task. Existing works achieve high precision values at first retrieval levels such as top 10 and top 20 images, but low precision values at subsequent levels such as top 40, 50, and 70, so the goal of this paper is to propose a new CBIR approach that achieves high precision values at all retrieval levels. The proposed method combines features extracted from the pre-trained AlexNet model and discrete cosine transform (DCT). Then principal components analysis (PCA) is performed on AlexNet’s features and feeding these combination to multiclass support vector machine (SVM). The euclidean distance is used to measure the similarity between query and stored images features within the predicted class by SVM. Finally top similar images are ranked and retrieved. All above techniques require huge computational power which may not be available on client machine thus, the processing of these tasks is processed on cloud. Experimental results on the benchmark Corel-1k show that the proposed method achieves high precision value 97% along all retrieval levels top 10, 20 and 70 images and requiring less memory compared to other methods.
Development and Evaluation of a Natural Language Processing Annotation Tool (NAT) to Facilitate Phenotyping of Cognitive Status in Electronic Health Records

Abstract Background Electronic Health Records ( EHR) with large sample sizes and rich information offer great potential for dementia research, but current methods of phenotyping cognitive status are either not scalable or suffer from inaccuracies. Our objective is to evaluate whether deep learning Natural Language Processing (NLP)‐powered semi‐automated annotation can improve the speed and reliability of chart reviews for phenotyping cognitive status. Method In this study we developed and evaluated a semi‐automated NLP‐powered annotation tool (NAT) to facilitate phenotyping of cognitive status. Clinical experts adjudicated the cognitive status of 627 patients at Mass General Brigham (MGB) Healthcare using NAT or traditional chart reviews. Patient charts contained EHR data from two datasets: (1) Records from January 1, 2017 to December 31, 2018 for 100 Medicare beneficiaries from the MGB Accountable Care Organization (ACO), and (2) Records from 2‐years pre‐COVID diagnosis to the date of COVID diagnosis for 527 MGB patients. All EHR data from the relevant period were extracted; diagnosis codes, medications, and laboratory test values were processed and summarized. Clinical notes were processed through a deep learning NLP algorithm and a web tool was developed to present an integrated view of all data. Cognitive status was rated as cognitively normal, cognitively impaired, or undetermined. Assessment time and interrater agreement of NAT compared to manual chart reviews for cognitive status phenotyping was evaluated. Result NAT adjudication provided higher interrater agreement (Cohen k = 0.89 vs. k = 0.80) and significant speed up (time difference mean [SD]: 1.4 [1.3] minutes, P &lt; 0.001; ratio median [min, max]: 2.2 [0.4, 20]) over manual chart reviews. There was moderate agreement with manual chart reviews (Cohen k = 0.67). In the cases that exhibited disagreement with manual chart review, NAT adjudication was able to produce assessments that had broader clinical consensus due to its integrated view of highlighted relevant information and semi‐automated NLP features. Conclusion NAT adjudication improves the speed and reliability for phenotyping cognitive status compared to manual chart reviews. This study underscores the potential of an NLP‐based clinically adjudicated method to build large‐scale dementia research cohorts from EHR.
Digital Reconstruction Analysis based on Multi-Perspective Information Integration Algorithm

Digital reconstruction analysis of public art based on the multi-perspective information integration algorithm considering blockchain is the focus of this paper. In the process of reconstruction, firstly, the abstract syntax tree corresponding to the source code is traversed through the visitor mode. The main static analysis methods used include lock set analysis, alias analysis and negative effect analysis: lock set analysis is used to collect monitor objects and store the corresponding relationship between monitor objects and lock objects alias analysis is used to solve the alias problem in the lock set. The blockchain base layer can provide a safe and reliable system for the upper layer in open-source systems such as the Fabric or Hyperleger. This will be further applied into the reconstruction analysis of public art. The model is tested through the systematic simulation.