Reviewerly/exHarmony huggingface dataset:
ANALISIS KLASIFIKASI REKAPITULASI PENGADUAN PELANGGAN UP3 PT. PLN SEMARANG MENGGUNAKAN ALGORITMA QUEST (QUICK, UNBIASED, AND EFFICIENT STATISTICAL TREE)

Every company must have a way to solve the problems faced by its customers, PT. PLN Persero, the Indonesian national energy utility, must have a method to handle consumer complaints. PT. PLN Persero has a recovery time strategy for resolving consumer concerns, but it is not always effective in doing so. The QUEST algorithm (Quick, Unbiased, and Efficient Statistical Tree) approach is used to classify the problem of the recovery time policy failing on specific complaints. Classification of complaint data in order to obtain characteristics and factors as the main influence on the complaints and be able to provide new opinions for PT. PLN to address customer complaints. The QUEST method is a classification tree technique with two nodes per split that yields an unbiased variable. The QUEST method may be used with both category and numerical data. QUEST uses three stages to create a classification tree: picking the splitting variable, identifying the split point, and pausing the split. The classification tree generated has a tree depth of four layers and obtained three essential factors in the classification, namely weather, the number of customers experiencing the same event, and distance from the site. The classification tree accuracy level is 0.851 (or 85.1%), with a prediction error rate of 0.149 (or 14.9%).Keywords: binary classification tree, recovery time, QUEST algorithm.
Dual sentiment analysis with two sides of one review for polarity shift

The Bag Of Words' performance is limited because to inherent flaws in its treatment of the polarity shift problem; the bag of words representation considers the two opposite texts to be quite similar. To address this issue, a model known as dual sentiment analysis (DSA) has been developed. Dual Sentiment Analysis expands sentiment categorization analysis from one side of a review to two sides of a single review. For both training and test reviews, a data expansion strategy is presented to solve sentiment reversed review. In the sentiment classifier, a dual training method is utilized to train the original and reversed reviews. The Dual Sentiment Analysis paradigm divides polarity categorization into three categories (positive, negative, and neutral) (positive, negative and neutral). A corpus-based method for constructing a pseudo-antonym dictionary is devised to remove dual sentiment analysis' reliance on an external antonym dictionary for review reversal. The findings show that DSA is effective in supervised sentiment analysis.
E-Survey For Crops

Abstract: In this growing world, every thing has became computerized. This is because the technology has expanded so much that every thing has came into our hands. To reduce the efforts of humans, and to save time, this idea has been undertaken. The required hardware and software are easily available and easy to work with. This can lead the farmer for better consumtion of crops. As farmers can get benefits of the schemes that are available for them. If they have any problem or quetionary about the farming, then the farmers can take help of the application to contact with the other officers soo that he can get the desired benefit. In early days, these things were done manually, which needed lots of efforts so to avoid those efforts and extra consumtion of time this project has been undertaken. Doing all these things will bring transperancy between the farmers and the government. So no farmer will be left out from getting the benefits and schemes from the government. This willalso hepl framers in better utilization of the resources. Instead it will also provide the information on which, crop should farmer grow in order to gain the profit. This will allow real time information of crop sowing to be compiled in the application. As there will be increase in participation of the farmers in crop inspection, registration will help in facillating the process of settling crop insurance and crop inspection claims. It will also make it easier for farmers to get peak loans. If the farmers face some losses due the issues like crop damage due to the natural calamities, the government will help them in resolving the same. Keywords: E-survey perception, E-government.
The The Implementation of Surface Strategy Taxonomy Through Report Text Translation

The aims of this research is to find out grammar mistakes and obstacles in learning English through writing. Through writing, students can improve their understanding by paying close attention to the grammar and content. The implementation of CRS is meant to enhance the understanding of students of STMIK STIKOM Indonesia. And the implementation of Surface Strategy Taxonomy (SST) is done through documentation of students’ work through translation. The data source is taken from a report text in Indonesian as source language and translated it into English as target language. In order to know the benefit of SST, students are given the questionnaire to gain the data. Data collection is the results of students’ translations sheets. The results of 68 students’ translation work show that there are 98 error found in 4 kinds (errors omission, addition, mis-ordering and mis-formation) and each kind of error has its own sub-kind errors (SKE). The biggest error is omission with 39 errors (39,8%) and lowest error is mis-ordering with 12 errors (12,2%). Omission has 2 SKE, those are grammatical morpheme with 23 errors (23,5%) and content morpheme with 16 error (16,3%). Addition has 29 errors (29,6%) with SKE 16 simple errors addition (16,3%), and 13 double error addition (13,3%). Mis-ordering has 12 errors (12,2%) with SKE 4 misplacement of verbs (4,0%) and 8 misplacements of words/items (8,1%). Mis-formation has 18 errors with SKE 5 error of alternating form/ prepositions (5,1%), 6 errors of content oriented lexical/quantifiers (6,1%) and tenses with 7 errors (7,1%). There were 9 errors found in the agreement between demonstrative pronoun and noun (9,1%) and the lowest number of errors are apostrophe s and misplacement of verb with 4 errors each (4,0%). The questionnaire shows that the implementation of SST does help the students where 30 students (46,2%) said that they know their mistake, 24 students (36,9%) stated that they know about the words’ choice/diction and 11 students (16,9%) said that SST helps them to improve their English grammar. Besides, students are encouraged to practice more English in their daily.
Accessible teaching with GNU TeXmacs

In this article I give a brief overview of some of the challenges in creating accessible documents for STEM education, as well as why and how GNU TeXmacs can be used to address some of these.
Report on women in logic 2020 &amp; 2021

This report follows the two latest editions of the International Workshop for Women in Logic (WiL), which took place on June 30 th in 2020 and June 27 th in 2021, respectively. Due to the Corona virus pandemic, both events were held virtually, with significant success. The 4 th Women in Logic workshop (WiL'20) was part of "Paris Nord Summer of LoVe 2020" , a joint event on LOgic and VErification at Université Paris 13, made of Petri Nets 2020, IJCAR 2020, FSCD 2020, and more than 20 satellite events. The 5 th edition of the workshop (WiL'21) was a satellite event of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS'21). Both editions were conducted via Zoom, and the 2020 edition was partially streamed on YouTube (unfortunately, the stream was dropped due to an unsubstantiated complaint and only tardily restored).
Algebraic Decomposition Method for Zero Watermarking Technique in YCbCr Space

Build the zero watermarking techniques used the algebraic Hessenberg decomposition method to extract features from the host images for the first time.• The employing of the HDM is successful, not only algebraically, but the strength and importance of the obtained outcomes are equivalent to the best outcomes obtained from employing any common transform that extracts the features of the image optimally.• Based on the outcomes of the NC values obtained from the two methods mentioned in this paper, it is found that the NC values improved with the employ of DCT.• The suggested technique gave good robustness contra various kinds of popular attacks.The close connection between mathematics, especially linear algebra, and computer science has greatly impacted the development of several fields, and the most important is image processing.Algebraic methods aroused interest in building digital image watermarking techniques and are used to find the features of the image to hide the watermark.This paper aims to use the algebraic Hessemberge decomposition method (HDM) for the first time as a transformation to extract the features of the image without using any popular transformation for building zero watermarking.To achieve the aim, two techniques are used, HDM with and without discrete cosine transform (DCT); both depend on the advantage of the algebraic HDM to convert the image to another domain in the YCbCr space.After applying eleven common attacks to images in both techniques, the results showed that the NC values under the influence of many attacks were higher in the second technique than the NC values in the first technique.In contrast, the NC values for salt and pepper attack in the first technique are higher than the NC values in the second technique.
Pelatihan Bahasa Inggris bagi Masyarakat Kawasan Wisata Berbasis Alam dan Budaya Betawi di PBB Setu Babakan Jakarta

The purpose of this community service program is to improve the English competence of the community in the Setu Babakan Betawi Cultural and Natural-based Village, Jakarta. The English training is part of the efforts to pioneer English villages in the tourist destination area. This activity was carried out using a training method with English needs analysis and problems faced by the community related to English mastery through interviews, observations, tests and questionnaires as well as to develop English teaching materials for the surrounding community. This service involves community mobilizers, the manager of the Setu Babakan Betawi Cultural Village and the village community, especially teenagers who are active in youth organizations. The results of this activity show the passion and enthusiasm of the community to learn English and improve the community's self-confidence as well as their English speaking skills in the context of daily conversation in the Setu Babakan Area. Thus, it is very important to do sustainable English training in response to initiate English village.
PEDAGOGICAL IMPROVISATION IN FORMING PROFESSIONAL COMPETENCE OF THE FUTURE TEACHERS-PHILOLOGISTS

The article analyzes the concept of pedagogical improvisation, clarifies its content, functions and types, determinates its role in developing professional competence of students-philologists. During the research we used the following methods: observation, analysis, interviews, mathematical statistics. The aspects of preparation of future teachers-philologists for pedagogical improvisation are highlighted, and their preparedness criteria are defined. The methodological tools of research into the level of students' ability to pedagogical improvisation are selected. The relevance of the topic is confirmed by the results of the survey of the students-philologists who are diagnosed with the level of ability to pedagogical improvisation both in the conditions of the traditional form of education and in the distance learning mode. 205 students of the specialties 035 «Philology» and 014 «Secondary Education» (Ukrainian language and literature) of Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University took part in the experiment. By means of experimental activities, the features of the influence of the pedagogical improvisation on the formation of professional competence of future teachers-philologists have been identified. It was found that the level of ability to pedagogical improvisation of students-philologists in the conditions of traditional education is higher than in the conditions of excessive stay in the virtual educational space. A step-by-step algorithm of using improvisation for development of the future teachers-philologists’ professional competence in the context of blended learning is developed.
THE IMPACT OF FINANCIAL SYSTEMS ON ECONOMIC GROWTH

The article aims to determine the level of impact of the financial sector on economic growth. The financial sector’s activities provide financing for business development, provide borrowing opportunities and provide compre-hensive protection when concluding insurance contracts, which in the long run ensures economic growth. It is es-sential to understand which financial sector activities are most significant in economic growth. Borrowing and equity trading have been found to positively impact economic growth, while the market capitalisation of companies has been found to harm economic growth. The results can be used to develop growth plans for financial institutions that pro-mote economic development.
The Use of N-Gram Language Model in Predicting Nepali Words

This paper aims to study the problems of automated generation and understanding of natural human languages. The word prediction and word completion from a tab-complete in typing is particularly useful to minimized keystrokes for the users with specific necessaries, and to reduce mistakes, and typographic errors. The word prediction techniques are well-established methods that are frequently used as communication aids for people with disabilities to accelerate the writing, to reduce the effort needed to type and to suggest the correct words. It is something that is skillful at doing prediction according to the previous context. Projection can either be established on word figures or verbal rules. The N-gram model is about predicting nth word from N-1 words. It assigns the probabilities to sentences and sequences of words of all possible combination of n words. To meet the objective, this research uses statistics amount of Nepali language of diverse word kinds to expect right word with as much precision as possible. Under the statistical method, this research will deal with the N-gram method to predict the next word for the Nepali language using Viterbi as decoding algorithm.
Covert Communications in Low-VHF/Microwave Heterogeneous Networks

In this paper, we explore covert communication in a heterogeneous network where a transmitter sends a confidential message to a receiver by utilizing two different radio frequency (RF) bands, low-very high frequency (low-VHF) and microwave frequency modalities. Since two RF modalities exhibit different characteristics in terms of channels and available bandwidths, it is important to efficiently leverage the modalities based on the wireless environment. Therefore, we develop a new algorithm that optimizes the transmit powers and bandwidths for the modalities and selects one modality with the goal of maximizing the detection error probability at a warden while guaranteeing a quality-of-service requirement of the receiver. We first derive a closed-form joint optimal power and bandwidth solution for a given modality, and then provide a modality selection method. From numerical simulations, it is validated that the proposed scheme achieves the optimal performance and the covertness can be enhanced by judiciously choosing one of the two modalities based on the channel condition.
Privacy Impact Assessments for Digital Repositories

Trustworthy data repositories ensure the security of their collections. We argue they should also ensure the privacy of researcher and research subject data. We demonstrate the use of a privacy impact assessment (PIA) to evaluate potential privacy risks to researchers using the ICPSRâ€™s Researcher Passport as a case study. We present our workflow and discuss potential privacy risks and mitigations for those risks.&#x0D; [A previous version of this article is available as an IDCC2020 Conference Paper]
relationship between participation motivation, organizational commitment, organizational learning and organizational performance

The purpose of this study was to explore the relevance among the personality traits, participation motivation, organizational commitment, organizational learning and organizational performance of the members Bethlehem and Jerusalem club National, questionnaires were issued. A total of 330 questionnaires were recovered in Bethlehem with 314 valid questionnaires and a recovery rate of 95.1%. A total of 270 questionnaires were collected in Jerusalem with 252 valid questionnaires and a recovery rate of 93.3%. This study used various statistical methods to verify the hypotheses and research structure proposed by the study, and analyzed the personality traits, participation motivation, organizational commitment, organizational learning and organizational performance of Bethlehem and Jerusalem's people joining the community organizations. The results show that continuous personality traits positively influenced participation motivation, personality traits and motivation positively influenced continuous organizational commitment, organizational commitment positively affected organizational learning, organizational commitment and organizational learning positively influenced continuous organizational performance, and the hypotheses were all established except Hypothesis 5.
A Parallel Model of Musical Research and Creation

Abstract Stages of both processes – research and creation – are depicted and proposed as tools for understanding the uniqueness of the musical triad: musicology, interpretation, composition. Although the borderlines between them are fuzzy and the interconnections powerful, we can find sufficient reasons to compare these different ways to obtain knowledge and to generate results in the field of music. The proposition of a single model for all three areas takes into account the following stages: information, analysis, design, processing (combining intuition with rational procedures), adaptation, finalization. Similarities between the processes of musical research and musical creation are expressed and emphasized with examples, maps and figures.
Patch-based All Convolutional Neural Network Model for Classification of Benign and Malignant Mammograms

Breast cancer is one of the deadly diseases affecting middle-aged women. Early detection and accurate diagnosis are needed to improve the survival rate of the patients. Digital mammograms are one of the most frequently used techniques for helping early breast cancer detection. Radiologists face challenges for correctly diagnosing breast cancer as they have to examine many mammogram images daily. A computer-aided diagnosis (CAD)system is required to detect abnormalities as early as possible. The present study developed a deep learning model to differentiate malignant from benign tissues using mammograms collected from MIAS, INBreast, and DDSM datasets. As these images contain noise, Contrast limited adaptive histogram equalization (CLAHE) is used to preprocess the images. Then, mammographic segmentation for removing unnecessary background from a mammogram image is carried out. Then, these images passed to Multiscale All Convolution Neural Network(MACNN) to classify a mammogram into benign or malignant. This model has achieved a classification accuracy of 81%.In this study, improvement of the MACNN model, a patch-based MACNN, the proposed model learns more features than MACNN and has earned a classification accuracy of 88%.This model has better classification accuracy than other models ResNet50 and U-net model.
Quantitative Analysis Between Blackboard Learning Management System and Students’ Learning

Proper use of the Blackboard Learning Management System (LMS) motivates students to engage with their studies but the students within Material Science and Engineering (MSE) often use these LMSs to copy mathematical derivations, scientific information and submit coursework tasks without spending much time interacting with the system.Quantitatively, there is a piece of missing information on how interaction with the Blackboard LMS influences students' performances.Statistical evaluations were made by using the average times students spent on Blackboard and their final examination grades for their three-year Bachelor's degree period.There was a linear positive correlation between the time students spent on the LMS and their grades.Observations also show that students engage more with LMS at certain periods within a week.It was recognised that the more students engage with the Blackboard, the more they construct information for themselves.This result provides a quantitative analysis that gives evidence of how time spent on LMS supports students' learning.
Doctor Information System

Abstract: Doctor information system is an android based application. This application provides a registration and login of patients. The patients must be registered and log in to view doctors based on category of doctor and type of problem patient is facing. The search results will show the list of doctors matching patients required criteria and patients can select a doctor and can call for appointment with the doctors. This application is location- based application in which details of doctors will be shown location wise and also include map facility. For- example if current patient’s location is Nashik, then list of all Nashik doctors will be shown depending on the type. This application also contains admin panel which will help developer to add profiles of new doctors from the app. Keywords: Medical Services, doctors, patients, doctor appointment, registration of patient
From Dürer's Magic Square to Klumpenhouwer Tesseracts: On Melencolia (2013) by Philippe Manoury

ABSTRACT Many Western art music composers have taken advantage of tabulated data for nourishing their creative practices, particularly since the early twentieth century. The arrival of atonality and serial techniques was crucial to this shift. Among the authors dealing with these kinds of tables, some have considered the singular mathematical properties of magic squares. This paper focuses on a particular case study in this sense: Philippe Manoury's Third String Quartet, entitled Melencolia . We mainly analyse mainly several strategies conceived by the French composer – through his own sketches – in order to manipulate pitches and pitch‐classes over time. For that purpose, we take advantage of Klumpenhouwer networks as a way to settle wide and dense isographic relationships. Our hyper‐K‐nets sometimes reach a total of 32 arrows that allow geometrical arrangements as tesseracts in which their different dimensions cluster related families of isographies. In doing so, we aim to provide an instructive example of how to contextualise K‐nets and isographies as powerful tools for the analysis of compositional practices.
Scan For Notes

Abstract: QR code (abbreviated from Quick Response Code ) is the trademark for a type of matrix bar code first designed for the automotive industry. Today the QR code is widely used in all industries. In our paper we present an implementation of an Android device using libraries is and combined algorithms in order to be able to scan any QR code fast accurate and easy. The devices that we targeted for our application are the Google Glasses and an Android operated phone. The implementation for each of the devices was slight different, but the core algorithms and libraries were the same. Keywords: Generate QR Code for Notes, Android device using libraries