Reviewerly/exHarmony huggingface dataset:
A High-Precision Classification Method of Mammary Cancer Based on Improved DenseNet Driven by an Attention Mechanism

Cancer is one of the major causes of human disease and death worldwide, and mammary cancer is one of the most common cancer types among women today. In this paper, we used the deep learning method to conduct a preliminary experiment on Breast Cancer Histopathological Database (BreakHis); BreakHis is an open dataset. We propose a high-precision classification method of mammary based on an improved convolutional neural network on the BreakHis dataset. We proposed three different MFSCNET models according to the different insertion positions and the number of SE modules, respectively, MFSCNet A, MFSCNet B, and MFSCNet C. We carried out experiments on the BreakHis dataset. Through experimental comparison, especially, the MFSCNet A network model has obtained the best performance in the high-precision classification experiments of mammary cancer. The accuracy of dichotomy was 99.05% to 99.89%. The accuracy of multiclass classification ranges from 94.36% to approximately 98.41%.Therefore, it is proved that MFSCNet can accurately classify the mammary histological images and has a great application prospect in predicting the degree of tumor. Code will be made available on http://github.com/xiaoan-maker/MFSCNet.
PERANCANGAN MEDIA PEMBELAJARAN INTERAKTIF MATA PELAJARAN IPA KELAS VI SD BERBASIS WEBSITE

The library is a center of knowledge that must be managed properly and correctly in an educational institution. SLBN 1 Linggo Sari Baganti is a school where all kinds of activities get more attention from the government, one of which is through the library. various assistance, facilities and infrastructure in the form of a collection of books are always provided. However, the operation of the library at SLBN 1 Linggo Sari Baganti is currently still managed in a conventional way. Starting from the data collection process to borrowing books is still done manually. Causing activities to be slow, inefficient and errors tend to be repeated frequently. So the Design of a Library Information System at SLBN 1 Linggo Sari Baganti Using Visual Basic 2010 Programming Language and Supported by Mysql Database is the right solution to overcome these problems. The results of the evaluation of the library system that has been designed show that the library system has features of computerized automation of data processing, transactions and the creation of important reports that have made it easier for librarians to manage the library.
Expert System and IoT for Diagnose of Feline Panleukopenia Virus using Certainty Factor

Cats are animals that are loved by many people and are widely used as pets. All things related to cat health will be pursued by cat owners. However, sometimes the prevention efforts that have been made by cat owners cannot stop the spread of cat diseases, especially those caused by viruses. One of the viruses that can infect cats is feline panleukopenia virus. Where this virus can be deadly and can spread easily. Sometimes the symptoms caused are like ordinary diseases and can not be easily understood by cat owners. Early diagnosis is needed to prevent this disease. What can be done is to create an expert system, which with this system can diagnose feline panleukopenia based on the initial symptoms seen. In addition, to support diagnosis, use IoT devices to determine the body temperature and heart rate of the cat. The purpose of this study is to provide an early prediction of Panleu disease in cats, so that it can make it easier for users to immediately follow up from the initial diagnosis obtained. The research was conducted by conducting a literature study, collecting and analyzing data, making designs and tools, implementing, and testing. The results obtained from this study used 13 samples obtained from veterinarians, where the results of the expert diagnosis were eight samples of acute panleukopenia, four samples of chronic panleukopenia, and 1 sample of non-panleukopenia. The results were obtained with an accuracy of 92 %. The average deviation value of the pulse sensor is 2.40 % and the average deviation value of the LM35 sensor is 1.30 %.
Upaya Meningkatkan Pemahaman Siswa tentang Struktur Teks Pidato Melalui Metode Presentasi Antar Kelompok di Kelas IX B SMP Negeri 2 Arut Selatan Tahun Pelajaran 2020/202

Speech text is a form of one-way communication in the form of expressing thoughts and ideas from the speaker about something to many people. This classroom action research was conducted at SMP Negeri 2 Arut Selatan, in Class IX with 35 students. The procedure of this research is divided into two stages, namely the preparation stage and the research implementation stage. At the implementation stage, it is divided into several cycles, each cycle consists of four stages, namely planning, implementation/action, observation, and reflection. In the first cycle, students still look confused with their assignments in class, this can be caused by the presentation method. With effort and students in the hope of increasing the achievement of better student learning outcomes. The results of the understanding of the first cycle have obtained a score of 131, meaning that students' understanding of the structure of the speech text was good, and the number of students who had completed learning was 28 while the average class of the first cycle was 75.79. learning material increased compared to the previous cycle so it can be said that students are increasingly understanding with the use of the presentation method by students. The results of the second cycle of understanding obtained a score of 174 which means that students' understanding of the structure of the speech text is very good, and the number of students who have completed learning is 35 while the average class of cycle II is 80.48.
Sistem Pengukuran Kualitas Website Penelitian dan Pengabdian Masyarakat I-Gracias Menggunakan Metode Webqual

As a learning center based on Information and Communication of Technology (ICT), the Telkom Purwokerto Institute of Technology has an I-Gracias website, one of which has a PPM menu, the menu functions to enter research data, scientific publications and lecturers' internal community service so that they can be managed by the public. LPPM. Based on the survey that has been carried out, it is known that there are several problems with the I-Gracias PPM system, such as an unattractive and quite confusing system display, menus that do not work properly, processes that are still not efficient, functions that are needed and do not exist in the system, and the lack of socialization of the use of the system to lecturers with the main problem that there is no prioritization of the quality of system performance which includes aspects of usability, quality of information and quality of interaction. The results of the questionnaire show that 95% of respondents agree with the quality measurement of the I-Gracias PPM system. Website-based PPM systems need to be measured using a web testing method, namely the Website Quality method or what is called WebQual as a determinant of criteria for measuring system quality in this study. This study resulted in the value of measuring the quality of the system in accordance with the user's perception so that the organizers can find out and correct the deficiencies that exist in the system. Quality measurement is carried out using a website-based information system.
Developing the cognitive activity of students of technical universities using active methods of teaching

This article focuses on the use of active learning methods to improve and enhance the learning process. It analyzes teaching methods that develop active cognitive activity of students of technical universities and assumes the use of such a system of methods, which is mainly aimed not at the presentation of ready-made knowledge by the teacher, their memorization and reproduction, but at the independent mastery of knowledge and skills by students in the process of active mental and practical activity.
Dialogue System Augmented with Commonsense Knowledge

Building an open-domain dialog system is a challenging task in current research. In order to successfully maintain a conversation with human, a dialog system must develop many qualities: being engaging, empathetic, show a unique personality and having general knowledge about the world. Prior research has shown that it is possible to develop such chat-bot system that combines these features, but this work explores this problem further. Most state-of-theart dialogue systems are guided by unstructured knowledge such as Wikipedia articles, but there is a lack of research on how structured knowledge bases can be used for open-domain dialogue generation. This work proposes usage of structured knowledge base ConceptNet for knowledge-grounded dialogue generation. Novel knowledge extraction algorithm is proposed which is then used to incorporate knowledge into existing dialogue datasets. Current state-of-theart model BlenderBot is finetuned on new datasets which shows improvement in novelty of utterances generated by the model.
Criminal Navigation System / Extractor

Abstract: We proposed a criminal navigation system/extractor that retains a criminal's records and also forecasts primary suspects in this paper. The method is intended to assist agencies such as the CBI, CID, and other similar bureaus in expediting the investigation process. Case summary, people involved, conflicts, past criminal histories of those engaged, items recovered on scene, and other facts such as facial recognition and fingerprints are all included in the system. The system recognises the type of case and allows the administrator to update the investigation's status and submit more crime photographs. It investigates past criminal histories of all those involved and makes recommendations for suspects based on this information. There is no proper centralised database or tracking criteria for criminal investigation in the area of criminal navigation. This system is based on criminal records management and a criminal navigation system. The system has the most up-to-date information on previous crimes. Those recordings will be useful in future investigations and training for new police. Officers will save time and the investigative process will be sped up as a result of the technology. The suggested method is intended to encourage criminal investigation teams to collaborate on cases and to expedite the investigative process by proposing suspects. Keywords: Admin, Officer, fingerprint, face recognition, primary suspect prediction
A Comparison between English and Makassarese Politeness System: A Comparative Study

This study aimed to describe the dominant variable that affected in use of politeness systems and to analyse the process of native speakers of English and Makassar in using the politeness system through conversations. The method of this study was the quantitative method and used statistic frequency. In this study, there are two variables that affected politeness. These data were processed based on the identification, classification, description, grouping, and calculation. Yassi’s theoretical framework found there are six politeness strategies. The strategies are deference in non-kinship, deference in kinship, intimacy in non-kinship, intimacy in kinship, hierarchy in non-kinship, and hierarchy in kinship. Based on his theory, age and seniority were the most affected in use politeness. The researcher found the difference in this study. The research finding indicates that the two variables do not affected the politeness systems of English but it is affected for Makassarese politeness systems. The English and Makassarese were different countries, so the politeness systems were also different. The English used FTA in doing communications and Makassarese has positive and negative politeness. The educational background is the dominant variable in use negative politeness and the age affect in use positive politeness for Makassarese.
Theoretical Model and Implementation Path of Party Building Intelligent Networks in Colleges and Universities from the Perspective of Artificial Intelligence

The paper aims to promote the growth of party building work in colleges and universities to improve school party organization, team management and strengthen party member ideological construction and overall party quality. We design intelligent party member business knowledge learning classrooms using deep learning to improve the quality of party members. First, we develop a convolutional neural network (CNN)-based classroom face recognition system and improve its loss function using the associated theory of the Visual Geometry Group 16 (VGG-16) model. Then, using the Single Shot Multi-Box Detector (SSD), we establish a classroom standing behavior identification system. The experimental results demonstrate that the accuracy rate of the conventional VGG-16 in the face recognition system is 93.5%, while the upgraded VGG-16 is 96.5%, with a 3.2% increase over the baseline models.
Shapley Value is an Equitable Metric for Data Valuation

Low-quality data can be dangerous for the machine learning models, especially in crucial situations. Some large-scale datasets have low-quality data and false labels, also, datasets with images type probably have artifacts and biases from measurement errors. So, automatic algorithms that are able to recognize low-quality data are needed. In this paper, Shapley Value is used, a metric for evaluation of data, to quantify the value of training data to the performance of a classification algorithm in a large ImageNet dataset. We specify the success of data Shapley in recognizing low-quality against precious data for classification. We figure out that model performance is increased when low Shapley values are removed, whilst classification model performance is declined when high Shapley values are removed. Moreover, there were more true labels in high-Shapley value data and more mislabeled samples in low-Shapley value. Results represent that mislabeled or poor-quality images are in low Shapley value and valuable data for classification are in high Shapley value.
THE IMPROVEMENT OF MISPRONUNCIATION ENCOUNTERED BY MOST YOUNG ENGLISH LEARNERS

Mispronunciation is a critical issue encountered by most young English learners in a second language learning that causes low spoken English proficiency, which plays important roles today. The objectives of this study were to identify the segmental changes resulted in the articulation of English mispronounced words produced by most young learners, to describe the different elements between Indonesian and English sound systems, and to explain the phonological interference of mother tongue in English mispronunciation. This study uses descriptive qualitative research design performed on ten primary school students selected by using purposive sampling in Semarang. Data were collected by using simak method and analyzed by using padan fonetik artikulatoris method.&#x0D; The data suggest that the majority of the participants had difficulty in articulating the words with absent phonemic segments /ɪ, æ, əː, ɔ, ʌ, eɪ, ʊə, ɪə, aɪə, ʃ, θ, ð, ʒ, voiced v/, silent letters &lt;b, d, e, t, w, gh, and r in some cases&gt;, spelling patterns &lt;th, ow, ph, ie, ueue, ough&gt;, and tricky words including several English borrowings that have inconsistent spelling pronunciation. The results showed that the interference of L1 sounds and pronunciation rules occurred through substitution of closest native sounds for absent phonemes, insertion of native sounds, and negative transfer of L1 spelling pronunciation. It can be concluded that most of the young learners mispronounced on words with absent phonemic segments, silent letters, spelling patterns of many letters combination, and several English borrowings.
efficacy of forensic technology in crime investigation and administration of justice

There have been significant advances in the forensic sciences (Narco analysis DNA mapping, polygraph, brain mapping, and new scientific instrumentation) over the last twenty-five years. However, more research is required to determine the contribution of these developments to the importance and purpose of scientific evidence in criminal case processing and prosecution. New forensic technologies have been examined in targeted research, but no studies have assessed the whole variety of scientific evidence that is available at crime scenes and its successful investigation and administration of justice. The legal system and law enforcement agencies alike are increasingly turning to forensic science for help in investigating crimes and securing convictions. However, in the Indian judiciary setting, the utility of forensic science has yet to be demonstrated in terms of the labor required and the outcomes of cases. Research in this field has tended to concentrate more on science and technology than on how individuals might effectively use forensic services/science to achieve acceptable justice results. The findings given are the result of a thorough investigation by the researcher. This document includes an overview of the research project's rationale and goals, as well as an explanation of the present state of the project's work.
Struktur Isi Argumen dalam Teks Argumentasi Siswa Tahap Operasi Formal

Text is the embodiment of one's ideas in written language that can be read and understood by the reading community. Argumentation is basically an embodiment of discourse. This study was conducted to determine the structure of the argument content in the students' argumentative essays in the formal operation stage by describing the research findings. The approach used in this study is a qualitative approach with the Miles and Huberman analysis model. The data of this research is in the form of a fragment of the student's argumentative text. This data was obtained from students' assignments to write arguments their teachers had given. In collecting data, the method used is the method of listening. The techniques used are free listening and conversation, documentation, and note-taking. The data analysis of this research uses the communication content analysis model. Based on the analysis results, it was found that the structure of the argument content of the students in the formal operation stage consisted of four structures. The four content structures are (1) deductive complex content structure, (2) inductive complex content structure, (3) deductive simple content structure, and (4) deductive complex simple content structure.
Artificial Intelligence: A New Era in Cardiology

Very few fields have evolved as Cardiology has. The last four centuries have brought extraordinary discoveries, achievements, inventions, and innovations, and we are now on the verge of witnessing the beginning of a new chapter of Cardiology that will unlock diagnostic and therapeutic interventions that are today considered impossible. Why? Artificial Intelligence (AI).
Authenticated Public Key Encryption Scheme using Elliptic Curve Cryptography

Secure transformation of data is of prime importance in today’s world. In the present paper, we propose a double fold authenticated public key encryption scheme which helps us in securely sending the confidential data between sender and receiver. This scheme makes the encrypted data more secure against various cryptographic attacks
PROFESSIONAL TRAINING OF MUSIC AND CHOREOGRAPHY TEACHERS: ARTISTIC-COMMUNICATIVE CONTEXT

The article highlights the importance of artistic communication in the process of professional training of teachers of music and choreography. The purpose of the article is to analyze the artistic and communicative context of professional training of music and choreography teachers. The study used theoretical methods: analysis of psychological and pedagogical literature, synthesis, comparison, generalization of research results; diagnostic methods: interviews, questionnaires, surveys, observations; methods of processing experimental data for quantitative and qualitative analysis of the results of diagnostic studies.The meaning of the concepts is specified: communication, pedagogical communication, communication, artistic communication, artistic-communicative process. The method of introduction of art-communicative context in practice of preparation of teachers of music and choreography is developed, the directions of its realization are defined - art-pedagogical, performing, directing-staging; the levels of interpersonal interaction are highlighted, the communicative, interactive and perceptual aspects of communication are characterized.The results of empirical research have shown that in the process of professional training of teachers of music and choreography, the artistic and communicative context is insufficiently relevant. In individual lessons in instrumental classes and choreography classes, only certain elements are used: information or messages. Innovative technologies and methods of formation of communicative skills and stimulation of artistic communication are offered.Among the innovations of art education are the technology of personification, design technologies, coaching method and start-method of cooperative learning. We are convinced that artistic communication is a powerful and effective means of developing social skills (soft skills), as it allows to involve students in various types of artistic creativity: music, stage, choreography.The study confirmed the importance of activating the artistic and communicative context in the process of professional training of teachers of music and choreography.
Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks

Document-level Event Factuality Identification (DEFI) predicts the event factuality according to the current document, and mainly depends on event-related tokens and sentences. However, previous studies relied on annotated information and did not filter irrelevant and noisy texts. Therefore, this paper proposes a novel end-to-end model, i.e., Reinforced Multi-Granularity Hierarchical Attention Network (RMHAN), which can learn information at different levels of granularity from tokens and sentences hierarchically. Moreover, with hierarchical reinforcement learning, RMHAN first selects relevant and meaningful tokens, and then selects useful sentences for document-level encoding. Experimental results on DLEF-v2 corpus show that RMHAN model outperforms several state-of-the-art baselines and achieves the best performance.
Pengembangan Media Animasi dalam Model Pembelajaran STAD Materi Sistem Peredaran Darah Manusia di SMP

The development of animation media in the learning model STAD aims to create effective and attractive learning activities so as to improve student learning outcomes. The animation media was developed in learning the human circulatory system in junior high schools. The research method used the Sadiman development model. Product validation is carried out by material experts and media experts. Meanwhile, the target of the field evaluation was class VIII students of SMP Negeri 1 Kauman Ponorogo. Based on the results of the field evaluation, it can be concluded that the animation media in the learning model STAD, the human circulatory system material, is categorized as suitable for use in learning activities. Furthermore, based on the results of the pre-test and post-test that were tested using the Paired Sample T-Test, it was found that there was a difference between the pre-test and post-test results. So it can be concluded that the use of animation media in the learning model STAD for the human circulatory system material in SMP can be applied as a guide in learning activities by teachers to create effective and interesting learning so that it can improve learning student’s outcomes.