Reviewerly/exHarmony huggingface dataset:
Billing System using Machine Learning

Abstract: The system of using pre-made bar codes to identify a product during its billing process is time-consuming and labour intensive. The relatively unique barcode needs to be first produced, then it must be manually attached to the product. This requires a lot of pre-processing work on the products to make them ready for identification and classification. This paper presents an alternate system that works on the principle of using the products’ natural characteristics like its discrete and distinguishable looks to identify and classify them during the billing process. It’s mimicking the human way of identifying and distinguishing the products. To implement this system, we need to move away from conventional methods of programming and use a different paradigm for designing software systems based on an artificial intelligence concept i.e., machine learning. We use machine learning techniques to design the working philosophy of this system. The algorithms in Deep Neural Networks which is a part of Artificial Neural Networks, help in creating a model to base our software system’s operational logic. Especially the models based on Convolutional Neural Networks have been proven to be efficient in providing a model for image classification. This paper discusses the abstracted software system from the base billing process without worrying about the hardware environment. We choose Python and its web framework Django to design the UI to implement this system over a distributed network within any establishment that needs to incorporate this process so that each node that has to process billing need not have to adhere to the hardware requirements imposed on them to run the various CNN models which are reliant on the GPU-based tensor architecture of TensorFlow. The system also provides mechanisms for inventory management over distributed networks and simple data analytics based on local sales.
Music, Cage's Silence, and Art

&#x0D; &#x0D; &#x0D; Stephen Davies taught philosophy at the University of Auckland, Auckland, New Zealand. His research specialty is the philosophy of art. He is a former President of the American Society for Aesthetics. His books include Definitions of Art (Cornell UP, 1991), Musical Meaning and Expression (Cornell UP, 1994), Musical Works and Performances (Clarendon, 2001), Themes in the Philosophy of Music (OUP,&#x0D; 2003), Philosophical Perspectives on Art (OUP, 2007), Musical Understandings and Other Essays on the Philosophy of Music (OUP, 2011), The Artful Species: Aesthetics, Art, and Evolution (OUP, 2012), The Philosophy of Art (Wiley-Blackwell, 2016 second ed.), and Adornment: What Self-decorations Tells Us about Who We Are, (Bloomsbury Academic, 2020).&#x0D; &#x0D; &#x0D;
Survey Paper on Credit card Fraud Detection System

Abstract: Credit card fraud detection is presently the most frequently occurring problem in the present world. This is due to the rise in both online transactions and e-commerce platforms. Credit card fraud generally happens when the card was stolen for any of the unauthorized purposes or even when the fraudster uses the credit card information for his use. In the present world, we are facing a lot of credit card problems. To detect the fraudulent activities the credit card fraud detection system was introduced.
E-BOOK INTERAKTIF MEMBACA MENULIS PERMULAAN

The interactive e-book was developed to improve early reading and writing skills as log of pandemic Covid-19. The type of this research is R&amp;D with the product of this research is the E-Book Interactive reading and writing starters. The questionnaire instrument was used as a research data collection technique. The results of the product validity test show the following results. First, the appearance of the interactive E- book product has an attractive appearance, second, the selection of an attractive typeface and the presentation of animated text in the form of a video embedded in the interactive E-book. Third, to get students involved in learning activities it is necessary to have interaction in learning, interesting content and presentations combbined with learning videos to explain the material interactively.
Creative work that forms the personality of the future pedagogue

The article, based on the author's memoirs, reveals the content and activities of amateur associations that existed at the historical and pedagogic faculty – the student "Theatre of Pedagogic Miniatures" and the wall newspaper "Leader". It defines their place and role in the formation of qualities necessary for future specialists. The assessment of the importance of students' participation in their activities for the formation of personal qualities and skills is given. The characteristics of the organisation of the work of the amateur theatre and the newspaper editorial office are given.
Asymmetric interfaces with stylus and gesture for VR sketching

Virtual Reality (VR) can be used for design and artistic applications. However, traditional symmetrical input devices are not specifically designed as creative tools and may not fully meet artist needs. In this demonstration, we present a variety of tool-based asymmetric VR interfaces to assist artists to create artwork with better performance and easier effort. These interaction methods allow artists to hold different tools in their hands, such as wearing a data glove on the left hand and holding a stylus in the right-hand. We demonstrate this by showing a stylus and glove based sketching interface. We conducted a pilot study showing that most users prefer to create art with different tools in both hands.
Clinicopathological Characteristics and the Relationship between Histological Grade with Luminal B Breast Cancer in RSUP Mohammad Hoesin within 2014-2016

BackgroundBreast carcinoma is the second highest malignant disease that causes death in Indonesia with 58,256 new cases in 2018. LuminalB has more aggressive clinical behavior and is considered as having unfavorable prognosis. This study aimed to determine theclinicopathological characteristics and the relationship histological grade with breast carcinoma subtype molecular luminal B.MethodsThis is a descriptive analytic study with cross sectional design using secondary data of breast carcinoma patients registered atRSUP Mohammad Hoesin Palembang during the period of January 1st, 2014 to December 31st, 2016.ResultsFrom 903 breast carcinoma patients in Mohammad Hoesin Hospital Palembang during 2014 to 2016, 43.63% had luminal Bmolecular subtype. The highest incidence and prevalence washappened in year 2016, whichwere 4.7 and 4.4 per 10 breastcarcinoma patients, respectively. The majority of breast carcinoma of luminal B molecular subtype occurs in the group of patientsaged ≥40 years (81.7%), female (98.7%), Malay race (100%), marital status (98.8%), housewives (68.3%), histopathologicalcarcinoma of invasive non-specific type (75.9%), high grade/ grade III (63.7%), localized (60.6%), no metastases (60.0%), rightsided tumor laterality (50.8%) and with negative HER2 (65.2%). There was a significant relationship between the histopathologicalgrade and breast carcinoma luminal B molecular subtype (p=0.009).ConclusionThe incident of breast carcinoma molecular subtype luminal B at Mohammad Hoesin Hospital Palembang has increased in the lastthree years with the poor clinicopathological characteristics.
Comparing the Performance of SOM with Traditional Methods for Document Clustering Using Wordnet Ontologies

Abstract: Retrieving useful information has become challenging due to the rapid expansion of web material. To improve the retrieval outcomes, efficient clustering methods are required. Document clustering is the process of identifying similarities and differences among given objects and grouping them into clusters with comparable features. We used WordNet lexical as an addition to compare several document clustering techniques in this article. The suggested method employs WordNet to determine the relevance of the concepts in the text, and then clusters the content using several document clustering algorithms (K-means, Agglomerative Clustering, and self-organizing maps). We wish to compare alternative ways for making document clustering algorithms more successful. Keywords: Document clustering, Clustering technique, Self-organizing maps, WordNet, K-means, Hierarchical Clustering.
IMPLEMENTATION OF DIGITAL-BASED LIBRARY (BOOK) MATERIAL PROCESSING MANAGEMENT SYSTEMS IN THE MUHAMMADIYAH UNIVERSITY LIBRARY, MAKASSAR

Based on the results of the study, it was found that the management system for processing book library materials at the Muhammadiyah Makassar University Library was carried out through stages; (1) Planning (Planning), is carried out to analyze the book stock and its processing strategy; (2) Organizing is done for the division of tasks and grouping of supporting tools for book processing; (3) Actuating includes several stages of activities, namely Checking Library Materials, Giving Stamps, Inventory/Registration, Classification Process, and Cataloging; and (4) Supervision (Controlling). The process of digitizing library materials at the Muhammadiyah Makassar University Library is carried out in several stages, including; (1) selection of library materials to be digitized; (2) The next process is scanning (scanner); (3) Inspection and scanning; (4) editing; (5) Creation and management of metadata (database); (6) Complete the document database with abstracts if necessary; and (8) transfer or save (upload). Obstacles in implementing the management system for processing book library materials at the University of Muhammadiyah Makassar Library, include; (1) Lack of Librarians; (2) Limited Facilities; and (3) Limited Funds
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics

Question answering-based summarization evaluation metrics must automatically determine whether the QA model's prediction is correct or not, a task known as answer verification.In this work, we benchmark the lexical answer verification methods which have been used by current QA-based metrics as well as two more sophisticated text comparison methods, BERTScore and LERC.We find that LERC out-performs the other methods in some settings while remaining statistically indistinguishable from lexical overlap in others.However, our experiments reveal that improved verification performance does not necessarily translate to overall QA-based metric quality: In some scenarios, using a worse verification method -or using none at all -has comparable performance to using the best verification method, a result that we attribute to properties of the datasets. 1
Peningkatan Performa Klasifikasi Machine Learning Melalui Perbandingan Metode Machine Learning dan Peningkatan Dataset

Classification using machine learning is an alternative that is widely used to classify data. There are various classification methods or also known as machine learning classification algorithms that can be used. However, to get the best classification results, we need a classifier that fits the dataset type to provide the best classification performance. In addition, the quality and quantity of data contained in a dataset also has an influence on the classification performance. In this study, several attempts were made to improve the classification performance of the dataset of Indonesian language exam questions at the elementary school level based on the category of difficulty level. The efforts made consist of improving the quality of the dataset and using the StringToWordVector filter algorithm to manage textual data, as well as the use of several classification algorithms such as the nave Bayes algorithm, Random Forest, and REPTree. Classification is done by using WEKA Tools. The results of the experiments carried out showed the highest performance increase of 15% after improving the quality of the dataset and using the right classification method.
HoloInset: 3D Biomedical Image Data Exploration through Augmented Hologram Insets

The extended reality (XR) provides realistic depth perception and huge visualization spaces, which can serve as a powerful workspace for 3D data exploration and analysis. However, a direct adaptation of XR to conventional 3D data exploration tasks is less feasible due to several hardware limitations, such as low screen resolution, dizziness, narrow field of view, etc. In this paper, we propose a novel mixed reality visualization scheme, HoloInset, which combines a conventional visual analytics system and a virtual environment to effectively explore 3D biomedi-cal image data. We also demonstrate the usability of the proposed visualization through a real-world analysis case.
Privacy Preserving Optimized Fuzzy like Search over Encrypted Data using Phonology

With increasing need of e-Governance for boosting principle of "Minimum Government -Maximum Governance", lots of government software applications were developed to capture citizen"s data and deliver various services to them.Sometimes captured data (like KYC data) is highly sensitive in nature and governed by personal information protection laws.Data at rest is of no use unless it is analyzed to generate useful information.Since the ownership of data lies with different government bodies, analysis over this data was possible only in isolation or else data privacy is compromised on data sharing.One approach to maintain data privacy before sharing it is to encrypt it using an encryption technique but strong Encryption techniques use diffusion principle identified by Claude Shannon which makes analysis over Cipher text inefficacious.This is major deterrent in discovery of useful patterns, relationships and insights in contrast to when analysis is done over multiple data sources collectively which can be important input for Government Agencies in thwarting untoward incidents.This paper presents an approach to make use of Double Metaphone algorithm which reduces English words to their phonetic representations by using combination of consonant sounds and plausible pronunciations thereby achieving efficient fuzzy like search using exact match over encrypted phonetic representations.The string variations created by typo mistakes during search by a user was handled by the phonology and consonant substitution, thereby achieving speedy and accurate fuzzy like search over encrypted data.This not only preserves the privacy but enables data owners to share the data to the cloud for running further analytics over cipher text and sharing encrypted results with authorized government agencies on demand for further decryption with pre-shared symmetric key.
Construction and Optimization of Distributed Electronic Archives System Merging Control Messages

This paper analyzes the whole of the electronic archives management system, describes the basic features and functions of the system, and gives the flow of each functional module of the system. Techniques for implementing important functions in the system are discussed and compared. Using the object-oriented idea, this paper designs the electronic archives management system and gives the hybrid structure model of the system. According to the needs of the electronic office, an official document transmission module is established to realize the electronic transmission of official documents, and the specific implementation process is given. According to the characteristics of archives information management and utilization, SQL Server is used as the background database and the database design is carried out. This paper introduces the full-text retrieval technology that realizes the query and retrieval function of electronic archives and gives how to configure the full-text retrieval service in SQL Server. This paper proposes a K-means-based merging control message clustering algorithm to solve the problem of communication topology changes caused by large-scale, high-mobility merging control messages. Based on the idea of K-means clustering, the calculation method of distance in K-means is improved by combining the distribution of the initial electronic archives message, and the fitness function of the electronic archives is designed by using the information of the electronic archives in the cluster and the average distance to the neighboring electronic archives. According to the maximum fitness value, the cluster head is selected to establish clustering. The file management system is tested and analyzed in a simulated environment. Based on the functional positioning of the system and the business environment, the functional performance and performance of the analysis system are examined and analyzed, and the research and development results are inspected according to the system development goals to check whether the development results of the system have reached the advanced stage. At the functional level, it can automate the management of the core business of the distributed electronic archives management department and support the distributed storage management of massive archive data, which effectively improves the informatization level and development efficiency of archives management.
Ambiguity on the Use of ‘Kami’ Personal Pronoun among Foreign Students

The aim of the study is to explore the ambiguity that occurs through the use of Malay Language Personal Pronouns (PP) among foreign students.Hence, this study was carried out to identify and analyze ambiguity in the use of the reference personal noun 'We' among foreign students.This study is a field study and the study data was obtained using observation methods and interviews.Next, this PP usage data is recorded using a conversation recording tool.The location of this study is at the International Modern Arabic School, Putrajaya, Malaysia.A total of 24 samples were selected as respondents using non-probability sampling techniques.The findings found that there are several factors that cause the ambiguity of PP and the English translation of "we" also affect the understanding of foreign speakers.
The Content Validation of Malaysian Dyslexia Accommodating Screening Test (MYDAST) Through the Application of Fuzzy Delphi Method (FDM)

This study aims to examine the content validity of malaysian dyslexia accommodating screening test (mydast) which was developed for english language teachers to identify dyslexia symptoms among their pupils.Fuzzy delphi method by Murray, Pipino, & Gigch (1985) was applied in the process of validation.This study used the survey design with a printed questionnaire distributed to 15 experts in related field selected through purposive sampling technique.Eight of them were professional experts at public universities and another seven were lay experts from various related professions such as clinical psychologist, english language teachers, and teachers of pupils with dyslexia.230 items from 15 constructs were validated based on phonological processing deficit hypothesis (Snowling, 1998).The findings show that expert consensus on the items in all the constructs are at a good level except for the 'rhyming', 'digit span' and 'reverse digit span' constructs together with 45 items that must be omitted from mydast.Also, it was found that 24 items must be revised.The overall findings of the experts' consensus agreement exceed 75%, the overall value of the threshold (d) < 0.2 and α-cut value exceeds 0.5.This suggests that mydast could be promoted as a psychometric test to identify dyslexia symptoms among pupils by english language teachers.
Security Framework for Cloud Information under Transparency of a Key

Abstract: The ongoing headlines or broadcast shows the strong goon, that damages the instruction or details secrecy in obtaining cryptographic keys, through pressure in secure communication programming technique When the instruction key or details is open, one major suitable option is to safeguard the privacy of the details. All things considered, assuming that the data is covered with past facilities, a goon spotted with the encoded key, will think twice about disclosing the ciphertext blocks. The major advantage of implementing key transparency in this paper is to information secrecy over a foe which identifies the encryption key and has an aspiration to get over an enormous part of the ciphertext blocks. Keywords: Cloud Storage, Security, Auditing Mechanism, Key Transparency, Data Confidentiality, MySQL.
UPAYA PENINGKATAN KOMPETENSI GURU DALAM MEMANFAATKAN MEDIA PEMBELAJARAN BERBENTUK POWER POINT MELALUI IHT DI SD NEGERI 45 SUNGAI RAYA KABUPATEN KUBU RAYA

This study aimed to analyze the improvement of teacher competence in utilizing learning media in the form of power points through IHT at SDN 45 Sungai Raya. The research method used in this research is the descriptive method. The subjects of this study were the principal as a researcher and the teacher as a research subject, amounting 8 people. The IHT implementation research procedure is carried out through four stages: a) planning, b) implementation, c) reflection, and d) evaluation. Data collection techniques used are direct observation and documentation techniques, with data collection tools in the form of observation sheets. The results showed increased teacher competence in utilizing learning media in the form of PowerPoint through IHT in cycle I (64.84%) and cycle II (84.89%). Overall, teachers can explain the benefits of information technology about increasing student creativity, teachers can explain how to make PowerPoint, teachers can earn power points as teaching materials in class, and teachers can use PowerPoint applications in learning, thereby increasing motivation for student learning and student learning outcomes, stimulating children to find out more information about the teaching materials presented.
Lack of Diversity: Are you part of the problem or its solution?

Do Computing courses properly prepare students for dealing with diversity, equity and inclusion? This essay delves into such a question by presenting a survey taken by Computing educators, and discussing issues, solutions and challenges within different Computing areas. It is also a call to action, because when dealing with such matters, there is no being on the fence: a person is either part of the problem or working towards its solution.
The White-Box Adversarial Data Stream Model

There has been a flurry of recent literature studying streaming algorithms for which the input stream is chosen adaptively by a black-box adversary who observes the output of the streaming algorithm at each time step. However, these algorithms fail when the adversary has access to the internal state of the algorithm, rather than just the output of the algorithm.
𝑯𝑵- Entropy: A New Measureof Information And Its Properties

Entropy measures the amount of uncertainty and dispersion of an unknown or random quantity, this concept introduced at first by Shannon (1948), it is important for studies in many areas. Like, information theory: entropy measures the amount of information in each message received, physics: entropy is the basic concept that measures the disorder of the thermodynamical system, and others. Then, in this paper, we introduce an alternative measure of entropy, called 𝐻𝑁- entropy, unlike Shannon entropy, this proposed measure of order α and β is more flexible than Shannon. Then, the cumulative residual 𝐻𝑁- entropy, cumulative 𝐻𝑁- entropy, and weighted version have been introduced. Finally, comparison between Shannon entropy and 𝐻𝑁- entropy and numerical results have been introduced.