Reviewerly/exHarmony huggingface dataset:
Assessing the Impact of Unbalance in Data on Predicting Breast Cancer Occurrence Using Machine Learning Models

With over 2 million new cases and over 600,000 deaths each year, breast cancer is the most common cancer among women all over the world.Early detection and treatment can save 1000s of lives.To achieve this goal, we used the machine learning library, WEKA and the Breast Cancer Surveillance Consortium (BCSC) dataset with 154,899 screening records.This dataset has twelve variables, and we considered the variable "breast_cancer_history", as the main variable to be predicted.The various machine learning (ML) classifiers examined include Naïve Bayes, Logistic Regression, Multilayer Perceptron, and Support Vector Machine with five different test conditions.Since the dataset had less cancer cases ("Class 1"), compared to non-cancer (heavily unbalanced with very high percentage of "Class 0") cases, we examined the prediction performance of these algorithms on "balanced" and "unbalanced" datasets.Stratified sampling method was used to create unbalanced and balanced datasets.The unbalanced dataset included all the original screening data (154,899 cases) and the balanced dataset included the same number of cases for both class 0 and class 1 (13,279 each).Of the four ML classifiers, Multilayer Perceptron had the best predicting performance for both unbalanced and balanced dataset.Overall, the balanced dataset had better prediction results for all four classifiers than the unbalanced dataset.For medical decision support purposes, we can use the prediction outputs from the ML models, trained on both balanced and unbalanced training data.
BALANCED BIPARTITE TREES IN CRYPTOGRAPHY

Mathematical concepts of Graph Theory, particularly labelled graphs which can be used to increase security in data transfer serve a very useful purpose in Cryptography.The field of Graph Theory, specially Graph Labeling and labeled graphs can be used as important tools for encryption for greater security, as compared to many other commonly used methods used in Cryptography.In this paper, Bipartite Trees employing certain graph labelling schemesnamely harmonious, graceful, sequential and felicitous are being presented as the preferred method for encryption and decryption.A balanced Bipartite Tree has the same number of vertices in left and right partite sets.
Design and Simulation of Text-To-Speech Enabled Electronic Voting Machine

Electronic voting machine has received tremendous researches in recent times with improvement in its capabilities. However, most electronic voting machine has limitation in terms of the number of parties it can accommodate and unfriendly to visually impaired persons. This present paper incorporates test-to-speech functionality into the electronic voting as to provide user friendliness to visually impaired persons and also for election announcement. The major component used to achieve this aim are Arduino Mega 2560, SM630 fingerprint scanner, RFID scanner and keypad matrix. This present electronic voting machine met the key requirements of convenience, transparency, flexibility, accuracy, eligibility, uniqueness, auditability, confidence and privacy
Penggerombolan Kabupaten/Kota di Indonesia Berdasarkan Indikator Indeks Pembangunan Manusia Menggunakan Metode K-Means dan Fuzzy C-Means

The achievement of the human development index in Indonesia differs between regions with striking gaps occurring in the western and eastern parts of Indonesia. This difference in achievement can be seen more clearly by grouping regencies/municipalities in Indonesia based on the four indicators of the human development index. With this aim, this study uses the k-means and fuzzy c-means methods to determine the optimal cluster size with two distance approaches, namely the Euclidean and Manhattan distances on the human development index indicators data in 2020. In addition, this study also seeks to identify the distribution of regencies/municipalities based on the characteristics of the human development index indicators in the clustering result. The result is that the best distance measure is Euclidean distance with optimal cluster size is four for k-means and six for fuzzy c-means. In addition, the clustering results obtained by the k-means method are more optimal than the fuzzy c-means because the evaluation value is better. In general, the four clusters formed were in accordance with the grouping carried out by BPS with the percentage of conformity reaching 66,54%. In summary, most regencies/municipalities on the Island of Sumatera, Java, Borneo and Sulawesi have higher life expectancy and percapita expenditure than many regencies/municipalities in the Nusa Tenggara Islands (besides Bali), Moluccas and Papua. Very high achievement for each HDI indicators is dominated by the capital city of each province with unfavorable conditions occurring in most regencies/municipalities in Papua Province.
Open access to closed journals: A case on content narrowness

Open access is currently one of the most booming topics and a movement with great transformation potential in scholarly communication. It has been approached from several perspectives such as: the political economy of science, the asymmetry between central and peripheral science (Guédon, 2011), and the democratization of science in Latin America (Banerjee et al., 2015). Scholarly communication is a wide term “that refers to the many different ways [emphasis added] in which authors and creators of scholarly and scientific work share information” (Anderson, 2018, para. 1) with everyone―inside and outside academia―about the work they are doing and their findings. It is important to note that the system of creation, evaluation, dissemination, use, and preservation of writings that comprises scholarly communication (Wright, 2019) is diverse and inclusive.
Corpus-Based Research on the Use of Foreign Language Chunks

As a prefabricated or semi-prefabricated unit of meaning between vocabulary and grammar, lexical blocks can be stored in the corpus directly for users without needing to be processed and analyzed again. Nowadays, a lot of interpreting research has show that lexical chunks and interpretation of efficiency, accuracy and fluency are directly related, so this article, therefore, in understanding the current corpus and its piece of research, on the basis of a clear opportunity to foreign language chunk application characteristics of corpus, and outline of CET band four words, for example analysis to establish the feasibility of chunk table.
Promises, Social, and Ethical Challenges with Biometrics in Remote Identity Onboarding

Abstract Issuance of identity documents has commonly relied on face-to-face customer onboarding. Checking a person's physical presence and appearance has been an essential part of identity enrolling procedures to avoid the risk of identity forgery. Yet, several weaknesses, including face morphing attacks, have been identified in document issuing processes. In the context of the COVID-19 pandemic, increasing international mobility, and a greater focus on user convenience, established onboarding rules and procedures have been disrupted. Solutions are being sought which would eliminate the barriers that stem from physical distance while offering at least equal or even better onboarding processes than in-person identity verification. Recently, novel remote onboarding solutions have appeared on the market. They vary from human-assisted video identification procedures to biometric-based automated verification procedures. The main social and ethical issues with biometrics in remote identity onboarding are (1) the risk of harming integrity of personal identity and misuse of it; (2) the risk of privacy invasion and function creep; (3) ethical issues that are raising from algorithmically driven actions and decisions; and (4) public perception and social acceptance of technology. These non-technical requirements need to be addressed in developing identity verification technologies based on biometrical algorithms and security techniques.
Perceptive review of augmented reality applications and their outlooks in the forging industry

Perceptive review of augmented reality applications in the forging industry is the primary goal of the paper.The differences between the Virtual (VR) and Augmented (AR) realities are highlighted first.Examples of the AR technology's various industrial applications are then presented, which is followed by the evaluation of capabilities of the approaches in the forging industry.The two practical case study solutions were implemented, and their operational capabilities under industrial conditions were tested.Examples of obtained results are presented within the paper.
Research on Vulnerability Exploitation and Detection Technology Based on Big Data Analysis

Because the traditional methods do not extract the attack characteristics in the process of vulnerability detection, the hit rate of vulnerability detection is low, and the false positive rate of unknown non defective software is high. In order to solve the above problems, a new vulnerability utilization and detection technology is studied based on big data analysis. Set up a Spark-based big data security analysis platform and network security equipment processing module, analyze the real-time data stream of the network through the big data security analysis platform, extract attack characteristics in the process of exploiting vulnerabilities, and use big data to efficiently process large amounts of data. To improve the detection efficiency of exploits. The platform integrates the Flume collection module, Kafka sorting module and Spark-streaming computing module. It extracts the characteristics of some scanning attacks and DoS attacks, uses the CART decision tree algorithm to build an attack prediction model, realizes the detection of exploits, and then detects the received abnormal data stream and normal data stream, which are sent to the corresponding network security device for processing by the network security device processing module to prevent the vulnerability from being successfully exploited. Through experiments, the good performance of the big data security analysis platform is verified.
Prediction Method of Marine Environmental Data Based on Time Series Analysis

To better ensure the quality of the marine environment and solve the problem of poor accuracy of environmental prediction, a marine environmental data prediction method based on time series analysis is proposed. The marine environmental index is constructed by the time series analysis method, and the single factor environmental identification index and its position in the change range of the comprehensive environmental index are determined to analyze and predict the marine environmental data. The analysis shows that the time series studied are nonwhite noise stationary series. A reasonable prediction model is established and verified by a partial parameter test and fitting statistics test. The model fitting effect is good, and the prediction of marine environment data is good.
EL ACOMPAÑAMIENTO A LOS TUTORES EN TIEMPOS DE PANDEMIA POR COVID-19

The present work aims to analyze Archivology and Information Science from the construction of a discipline in a curriculum of the Archivology course with an epistemological and historical approach.The methodology is exploratory based on a survey of literature from both areas of knowledge.The scientific, technological, social and cultural contexts of the emergence, constitution and development of these areas.Information concepts and approaches and the specifics of information in archives.
challenges in Hybrid Learning Model Globally vs Locally in 2020

In the stage of globalization in 2020, we could be under a rapid technological revolution that might be caused by the pandemic situation. New and improved technologies are continuously emerging and invade both the private and public areas of everyday life. This accelerated innovation-transformation experience has fascilitated a rapid change in organizations, business, and the training industries. This new and complex future is very difficult to predict, and it has been perceived as an immediate technological change, requiring training, retraining, and even re-learning. Globalization requires the development of human capital from developing countries. The development of human resources in a country helps to attract foreign investment. Developing countries need rapid training and development of skills that are globally in demand through the business industry. The human development factor can be critically important for a country like Georgia. In the current context, achieving this goal globally is considered through a hybrid learning model. At the same time, remarkably little is known about what countries can do to increase national skills quickly. The economic literature stresses the importance of investments in the hybrid learning model in education (at all levels), but skills development also takes place outside the formal educational system, particularly in vocational and professional training institutions and within corporations. Experts suggest that improving national skills requires a concerted national effort by involving multiple institutions, policies, and private-public sector collaborations.
Lightweight Deep Symmetric Positive Definite Manifold Network for Real-Time 3D Hand Gesture Recognition

This paper proposes a new neural network based on Symmetric Positive Definite (SPD) manifold learning for real-time skeleton-based hand gesture recognition. The transformation of the input skeletal data into SPD matrices allows to encode efficiently high-order statistics such as covariances or correlations between the joints' features. These matrices are combined and transformed by our deep neural network which is thus constrained to work on the manifold of such matrices. The online recognition is performed using two sliding windows moving along the gesture's stream in order to simultaneously detect and classify the occurrence of a new gesture within the stream. The proposed network is validated on a challenging dataset and shows state-of-the-art performances both in terms of accuracy and inference time.
Evaluasi Sistem Drainase Di Kecamatan Rawalumbu Kota Bekasi

Rawalumbu District has 8 locations of puddle around the area, i.e. Sepanjang Jaya RW 4, Cut Meutia Street, Bumi Bekasi Baru Utara, Pondok Hijau Permai, Pondok Hijau Permai 2, Narogong Jembatan 0 Housing Area, Rawalumbu Housing Area, and across of Trisakti University. There is some reasons why this puddle happened, such as shallow happened in drainage channels, some area doesn’t have drainage channels, wastes stuck in drainage channels, and elevation of some streets lower than drainage channels. The purpose of this research is for evaluates the problem that occur in drainage channels that spread around Rawalumbu District, so puddle doesn’t happen again. This thesis method uses quantitative analysis, when analyzing the existing problems. According to the evaluation result, there is 2.206 channels that overflow and 91 channels that working normally. There is some methods to reduce puddle such as: changing channels that had problems and digging some clay in drainage channels. Sustainable drainage system in this research is planned for controlling the puddle with the help of infiltration wells, there is 34.587 infiltration wells that planned in this research.
Communication strategy for promoting scientific projects in the media environment: pragmatic approach

Modern business approaches to promoting projects are being integrated into world science, so today scientific communicators become producers of scientific projects involved in promoting the project at the start. Professional communicators specializing in promoting scientific projects evaluate the project for the scientific community in terms of advanced scientific trends and the possibility of publishing the results of the work in prestigious scientific journals; for government authorities or businesses from the standpoint of applying the research results and assessing the prospects for investment. A huge number of daily published scientific papers makes it impossible to get acquainted with all of them, so there are so-called trends that need to be monitored: scientific conferences are devoted to trends today, which are set by trendsetters, leaders in a particular scientific field. The development of a high-quality algorithm for increasing the «weight» of a scientist is becoming more and more urgent. New methodologies make qualitative and quantitative evaluation of the scientist's expert opinion in the media environment and show the communication effectiveness of positioning (all mentions on all platforms are taken into account, considering the influence of the site and the involvement of a particular expert message). Placing publications in business media allows scientists to get feedback from stakeholders, and helps stakeholders to highlight cutting-edge research trends, channel financial resources in the right direction, combine scientific work with patent data, which, in turn, will facilitate analysing and forecasting commercialization of scientific results, etc. A trigger introduced into the media sphere by the scientific communicator has a certain ability to mediatize, which multiplies the next trigger and makes it possible to increase the efficiency of promoting a scientific project, contribute to the accumulation of a scientist's reputation capital and optimize the possibility of funding. This article analyzes the media promotion of a research institute project and evaluates its effectiveness.
Could Online Learning Substitute the Traditional one in Bulgarian Universities: Lecturers’ Point of View

The COVID-19 pandemic affected many spheres of the social life, including the higher education. Since March 2020, university education in Bulgaria is held almost online, with the perspective the online learning to continue even during the second semester of the academic 2021-2022. The article is dedicated to lecturers’ point of view about the first three semesters of online leaning in Bulgarian universities: what are the advantages and disadvantages of online learning and, according to them, if it could eventually substitute the traditional one. The perceptions and attitudes of lecturers are crucial for potential introduction of the online learning after the end of the pandemic as lecturers are the main actors in such process. The article analyses results of empirical online research made in the summer of 2021. 77 lecturers and 253 students of different Bulgarian universities and programs took part in the research. This article focuses on lecturers’ opinions only that is researched less often, than students’ one.&nbsp
Utilization of the YouTube Platform as a Distance Learning Media to Improve Mathematical Problem-Solving Ability in Elementary School

The ability of students to learn mathematics, especially in solving mathematical problems, is quite low. The pandemic conditions forced distance learning so that it hampered the improvement of students' ability to solve mathematical problems and non-mathematical problems. Innovation in learning is needed to help students to always be motivated in learning mathematics. This study aims to determine how much benefit the YouTube platform is as a distance learning medium to improve students' ability to solve problems mathematically. This activity method uses a quantitative approach with the target of grade 5 elementary school students. The results showed that the post-test average of students was 83.4%, an increase of 25.9% from the pre-test results which only reached 57.5%. This shows that videos uploaded to the YouTube platform can be an effective and innovative way to improve the mathematical problem-solving abilities of elementary school students.
FINE NEEDLE ASPIRATION EXAMINATION PROFILE OF SOFT TISSUE TUMOR IN THE ANATOMICAL PATHOLOGY DEPARTMENT OF DR. SOETOMO GENERAL ACADEMIC HOSPITAL SURABAYA DURING 1 JANUARY 2014 – 31 DECEMBER 2018

Fine needle aspiration cytology is a rapid diagnostic technique and has advantages over traditional incisional biopsy. Fine needle aspiration cytology of soft tissue lesions, if supported by clinical and diagnostic data, will provide accurate results. Fine needle aspiration cytology has the advantage of significantly reducing discomfort, has a very low risk of complications, and can be performed from multiple sides, thus providing a more representative material. The aim of this study was to provide clinicopathological profile of fine needle aspiration cytology of soft tissue tumor in Anatomical Pathology Department of Dr. Soetomo General Academic Hospital during 2014 - 2018. This study used a descriptive observasional research with retrospective approach. The samples are all patient with soft tissue tumor which had fine needle aspiration cytology examination and with/without confirmation of histopathological examination at the Anatomical Pathology Department of Dr. Soetomo General Academic Hospital during 1 January 2014 - 31 December 2018. The data was obtained for five years, there were 244 cases of fine needle aspiration of soft tissue tumors, the most gender was female consist of 128 cases (52.46%). There were more benign cases (155 cases (63.52%)) than malignant cases, and there were discrepancies in the results with histopathology in 9 cases (9.18%) and with immunohistochemical examination in 5 cases (5.10%).
A systematic review of the blockchain of things beyond bitcoin

The Internet of Things (IoT) is a term that refers to a digital ecosystem that includes a variety of internet-connected gadgets. It brings the physical and digital worlds closer together, allowing for new applications and services. Blockchain, a distributed ledger technology, has emerged as a potential option for ensuring trust in decentralized networks. Blockchain provides the immutability, verifiability, and trust of a distributed ledger in a decentralized network, which may be helpful in establishing trust in the Internet of Things. However, combining IoT with Blockchain poses a number of difficulties. The application of Blockchain in the IoT is a very new and fast-moving subject. As a result, a thorough literature study is required to comprehend what has been presented on the subject. A comprehensive review with a focus on Bitcoin has just been published. We provide a systematic assessment of current work on Blockchain and IoT in this article, with a wider emphasis on Blockchain platforms than Bitcoin. Our research summarizes what has been done so far in the field of Blockchain and IoT.
The blockchain and socialism: A review paper

Bitcoin (BTC) is referred to as cryptocurrency since it is a cryptographic-based type of electronic cash. It is often referred to as libertarian. However, the blockchain technology that underpins Bitcoin has characteristics that make it perfect for socialist ideologies. The current literature supports the Libertarian perspective by emphasizing on Bitcoin's potential to circumvent central authority and offer anonymity; seldom is blockchain technology's capability for decentralized transparency and auditability examined in favor of a Socialist paradigm. The blockchain, libertarianism, and socialist ideologies are all examined in this study. It then delves into socialist forms of public ownership, as well as the blockchain's inherent cooperative characteristics, which make it perfect for enabling socialist societies. In conclusion, this paper contends that blockchain technologies are not just libertarian tools, but they also benefit socialist government.