Reviewerly/exHarmony huggingface dataset:
Face Mask And Crowd Detection Using Pytorch and Multi-Task Cascade Convolutional Neural Network

The whole world is facing the biggest problem of health due to the rapid transmission of coronavirus disease-2019 (COVID-19).According to the World Health Organization (WHO), the best way to prevent the spread of COVID-19 is wearing a mask and keep the distance.But there is huge neglect of the guidelines by people which is resulting in daily increase in an infected patient.It is very difficult to monitor the people manually in these areas.So, in this paper, we propose an idea to monitor people using the automation process to identify the people who are wearing the mask and who are not.Many new trained models are being devised using pre-existing datasets to make the algorithm as accurate as possible.These models have made it possible to extract even the pixel details.We aim to style a binary face classifier which may detect any face present within the frame regardless of its alignment.The proposed idea or module built by pre-trained model and using computer vision libraries in python.The proposed model trained and tested on Real-world Masked Face Recognition Data set (RMFRD).By this project, we can calculate the number of people who are not wearing the mask and don't follow social distancing.By using the pre-trained libraries, this module will be robust and will have a high accuracy rate.
Grapari Information Technology Service Analysis of Telkomsel Salatiga Using ITIL V3 Domain Service Operation

Parameters for the success of IT in a company or organization are IT services to users in order to support the fulfillment of the business goals of a company or organization. Therefore, information technology has become a major requirement for companies or organizations. Operating IT services in a company or organization cannot be without problems. To find out the extent to which IT services are running and the extent of management in managing and handling incidents and problems in IT service companies, an analysis and assessment of IT services is needed. This research proposes the ITIL framework version 3 (Information Technology Infrastructure Library) with the Service Operation domain to review IT service practices. The results of this study indicate several recommendations including increasing the number of resources who are experts in the IT field, so that any obstacles that arise in the application can be resolved immediately. It is hoped that by carrying out this research, GraPARI can reduce these obstacles and can work optimally.
Correction to: Elemental mapping of some collected gold samples from Al-Amar gold mine in Saudi Arabia

In the original publication one of the author name was published wrongly unfortunately.
Gastric Disease Diagnosis Expert System With Bayes Method: Gastric Disease Diagnosis Expert System With Bayes Method

Helped develop information technology in line with the development of human civilization. In the health field, also developed a technology that is able to process and think like humans ie Artificial Intelligence technology. Artificial intelligence is divided into several areas of science, one of which is the expert system. expert systems can help people in gaining the desired information, khususnta information about diseases of the stomach. The stomach is an important organ in the body because it is one of the organs of digestion of food and beverages consumed by humans. To help people in making the diagnosis of diseases of the stomach, it would require an expert system that can diagnose diseases of the stomach in order to determine the type of the illness, symptoms dialamin and how treatment solutions. In this study, researchers made a gastric disease diagnosis expert system using Bayes methods. The data used is the type of disease, symptoms, and treatment solutions. This system will produce the output of information type of disease diagnosis and treatment of the disease.
PENGARUH MODEL PEMBELAJARAN CONTEXTUAL TEACHING AND LEARNING (CTL) TERHADAP HASIL BELAJAR IPS SISWA KELAS V SDN 6 CAKRANEGARA TAHUN AJARAN 2019/2020

This study aims to determine the effect of contextual teaching  and learning (CTL) learning models on social studies learning outcomes of fifth grade students of SDN 6 Cakranegara  2019/2020  school year. this studi is an experimental research type Quasi experimental type nonequivalent control group design. the population of this study was all students  of grade V and cakranegara.this research technique used in sampling is saturated sampling with is saturated sampling with as many as 29 students of class VA and 29 students of class VB sdn 6 cakranegara. data collection teachniques in this study are learning outcomes tests using multiple choice tests (pre-test) and ( post-test). this data was analyzed with the help of SPSS versios 16. testing the hypothesisof the study using independent sample T-test test calculation. the results showed the value of t –count 3.172>t tabel 1.176 at 5% significance with df=56, then ha was accepten and ho was rejected. the research hypothesis is accepted as the effect of the contextual teaching  and learning (CTL) learning model on the learning outcomes of IPS students in grade V SDN 6 Cakranegara Academic Year 2019/2020.
Fisiopatologia e desenvolvimento do diabetes mellitus tipo 3 e sua relação com a doença de Alzheimer

Introduction: Alzheimer’s disease (AD) is characterized by a progressive and persistent deterioration of the whole cognitive function, which results in an impaired cortical function. Some years ago, the connection between AD and type 2 diabetes has been studied, resulting in the term type 3 diabetes (T3D). Methods: This is a literature review, a search for articles published in the last 5 years in the Medline and PubMed databases was performed, using the descriptor: Alzheimer disease, diabetes, insulin resistance. Results: For analysis, 12 articles were selected, with 10 literature reviews and 2 original studies. Among those who explored the cellular and molecular relationship between AD and insulin resistance, possible pathogenic mechanisms, the role of insulin in the brain, environmental factors linked to AD and dietary interventions to prevent neurodegeneration. Conclusion: The relation between AD and type 2 diabetes is due several mechanisms such as lipid metabolism, insulin metabolism and agents related to its functioning, like the ApoEε4, C-peptide, the glycogen synthase kinase 3β (GSK-3β) and the amyloid-beta (Aβ). It is suggested that several changes, mainly in insulin metabolism, can impair neurocognitive function and trigger AD. Future studies are needed to analyze the context of T3D and find possible treatments that attenuate the AD progression and promote quality of life for the patients.
RFreeStem: A language and rule-free stemmer

With the large expansion of available textual data, text mining has become of special interest. Due to their unstructured nature, such data require important preprocessing steps. Among them, stemming algorithms conflate the variants of words into their stems. However, the most popular algorithms are rule-based, and therefore highly languagedependent. In contrast, corpus-based stemmers often exhibit significant algorithmic complexity, making them inefficient. They do not necessarily provide the extracted stems either, which are required for certain text mining tasks. We propose a new approach, RFreeStem, that is corpus-based and can therefore be applied on many languages. The implementation of our method is flexible and efficient, since it relies on a single running through the words' n-grams. We also detail a method to extract the stems. Our experiments show that RFreeStem improves the results of text mining tasks, even more than the Porter reference, while providing a stemming solution on poorly endowed languages, which do not benefit from a version of Porter.
Reconstructing HDR image of high color fidelity using Generative Adversarial Networks

The conversion from SDR contents to HDR version, termed inverse Tone Mapping (iTM), is substantially a non- linear mapping problem. The neural network provides the potential of learning this kind of non-linear mapping in an end-to-end way. This paper proposes a Generative Adversarial Network (GAN) with an aim to reconstruct an HDR image from a single-exposure. Unlike previous work that adopts a U-net as generator, the proposed GAN structures the generator using three branches to extract the global level, regional level, and local level details of an image for further fusion. Our discriminator adopts a slim architecture, which successfully solves the conventional color excursion problem at a low cost. Moreover, to train the proposed GAN effectively, we design a mixed loss function where the pixel-wise color is incorporated. Experimental results demonstrate that the proposed GAN scheme achieves state-of-the-art performance.
Novel as a Stimulant in Instilling Empathy and Sympathy in Character Education: A Case Study of Arah Langkah, a Novel by Fiersa Besari

Among the forms of communication is intercultural communication.Intercultural communication aims to share information between individuals or groups with different cultural backgrounds.This type of communication is used by both parties to understand each other and accept the differences in society.However, cultural intolerance in society often hinders intercultural communication.Such an issue can be minimized by promoting empathy and sympathy between communicators and communicants, thus resulting in a harmonious life, which resonates with the third principle of Pancasila.In this regard, sympathy and empathy are defined as a psychological condition representing tolerance acts to others.Each of these terms has their interpretations.Empathy [2] is described as a person's attitude when thinking about other people's feelings without losing self-identity, meaning that the person is neutral when responding to something.Sympathy, on the other hand, is how a person thinks about others or to take part in someone else's feelings with less self-identity attached to this process.At this point, the person or observer is no longer neutral.Many people are running out of sympathy and empathy.According to the data by Suara.com[1],65 percent of people in today's modern society are losing their empathy.They argue that having too much empathy means that a person disregards rationality.Nevertheless, losing empathy signifies the loss of feeling or motivation to help one another.A recent study at Pennsylvania State University [1] reveals that the majority of people believe that being empathetic only drains their mental energy.Sympathy and empathy are a condition that forms the quality of being humane in oneself.Considering this, cultivating empathy and sympathy is necessary.Among the approaches to conceptualize this is character education.Learning literary work is one of the overarching and adaptive approaches in character education to cultivate the two attitudes for people who expect flexibility in learning and enjoyable experiences.In the present study, a novel entitled Arah Langkah by Fiersa Besari was selected to be the medium for instilling empathy and sympathy.The objective of the present work was to explore, through psychological criticism, the qualities of the two attitudes in the novel as a medium of character education.In this narrative research,the data were discussed using a hermeneutic approach.The result finds several qualities of
RANCANG BANGUN INFORMASI POINT OF SALE MENGGUNAKAN FRAMEWORK CODEIGNITER PADA UMKM JASS COLLECTION

The application of web-based information systems has been widely used today to help work in business activities and web-based systems are easy to access with various devices such as laptops, computers, cellphones and others. The recording of sales transactions at Jass Collection still often occurs when there are errors in writing code and product names and makes it difficult for cashiers to make sales reports that the owner will use to make decisions on adding stock of goods. The purpose of this research is To know how to design a point of sale information system with a codeigniter framework and and  To find out how to implement a point of sale information system with a codeigniter framework. this research aims to design information systems point of sale l web-based Method used to build this information system is using the waterfall method,this web application can implemented in order help the store to manage sales.
Black Software: The Internet and Racial Justice, from the AfroNet to Black Lives Matter (McIlwain)

Review of Charlton D. McIlwain. 2020. Black Software: The Internet and Racial Justice, from the AfroNet to Black Lives Matter. New York: Oxford University Press. ISBN: 0190863846.
Corrigendum: Throughput/area optimised pipelined architecture for elliptic curve crypto processor

In [1], the following corrections should be noted. The work in this article is funded by National Science Technology, Innovative Plan (NSTIP), Saudi Arabia (14-ELE1049-10). The authors acknowledge the support of King Abdul-Aziz City for Science and Technology (KACST) and Science and Technology Unit (STU), Makkah.
IDENTIFIKASI JENIS BUNGA MENGGUNAKAN EKSTRAKSI CIRI ORDE SATU DAN ALGORITMA MULTI SUPPORT-VECTOR MACHINES (MULTISVM)

Flowers are a means of generative reproduction of closed seed plants. In the flower sections there are various or also types of parts in the flower, each of which has different functions in each part of the flower, so that a long and broad discussion is needed regarding the parts of the flower on a daily basis. day is also used to refer to a structure which is botanically known as compound interest or inflorescence. Compound interest is a collection of flowers collected in one bouquet. In this context, the unit of interest that makes up compound interest is called a floret. Flower is actually a modification of the leaves and stems to support a closed fertilization system. The fertilization system is closed, namely because the ovule is protected in the ovary or ovary and this is also another characteristic. The purpose of this study was to classify 12 Banten batik motifs using the SVM method. The research was carried out in several stages, namely resizing to equalize the dimensions of the image, grayscale to simplify the image by converting it to a gray level image, median filter to remove noise in batik, and feature extraction as input for classification using SVM. The classification results using SVM order 1 is 85%, and for order 2 is 87.2.
E-Notice Board (ENB) for the Faculty Community

This research work developed Electronic Notice Board (ENB) for the faculty community. The purpose is to upgrade the already existing manual method of information dissemination, so as to improve the administrative work of the faculty, and to create an enabling environment for more efficient and friendly means of information delivery. It will improve the rate at which staff and students participate in faculty events and activities. The conventional notice board is one of the oldest methods used in information delivery and announcements to students. Students go to where the notice board is mounted in other to read updates or announcements. Use of wall notice board in every place is a tedious work since it needs to be updated regularly and with correct and right information manually. Few of the problems that necessitated the need for ENB are; inadequate time to read all the relevant information pasted newly on a notice board as a result of tight schedule since the copies are limited. Limited time-lag of newly pasted notice since people mutilate, remove or destroy the paper notices from the board leaving others uninformed. Some of the objectives are to enable individuals to view the update from their various devices from any location. To enable instant update to all users since notice is online. To allow individuals download and store copies of original information intact. Generally, it looks at the existing faculty notice boards, building a system that makes it run by the internet access or by local area network (LAN) so as to increase the rate at which relevant information is being disseminated to the faculty community with no location restriction. The user is kept updated each time the E-Notice Board is updated based on their categories through an SMS alert. This system intends to simplify and improve the University faculties to perform their daily activities since most of the school organs uses computerized system. This research work was designed using Object Oriented Analysis and Design Methodology (OOADM) and implemented using Hypertext Pre-Processor (PHP), Hypertext Markup Language (HTML), Bootstrap, Cascading Style Sheet (CSS) as front-end and My Structural Query Language (MYSQL) database as back-end.
Legacy Library: Federal Government Resources: Data Tools and Repositories

Government data repositories as well as tools for creating visualizations of government data
Pengembangan Media Pembelajaran pada Website Tanpa Jaringan untuk Kemandirian belajar Peserta Didik

The purpose of this study is to design learning media in the form of websites without networks to help students learn independently in material momentum and impulses that are valid, practical and effective. Research is R & D research. This stage of development and development uses the Borg and Gall model which consists of 10 steps. The results showed that the website without the network developed had met the criteria for learning media that were valid, practical and effective. The results of the expert validation show that websites without networks are very valid from the aspects of content, construction and language. The results of the trial to see the practicality of showing a website without a network can be used in learning and is easy to use by teachers and students. The effectiveness of a website without a network that is seen from learning independence shows that students are very helpful for independent learning at home, because it is easy to use, the material is easy to understand and fits the needs of students.
The Four Motives of Educational Innovators

Education systems across the world are experiencing significant transformations. Grassroots innovators play an important role in these changes. To stimulate the development of grassroots innovations it is important to understand the mechanisms that underlie their creation. This paper investigates the motivation of individuals who initialize innovative projects in education. The approach to measuring motivation was adopted from the Panel Study of Entrepreneurial Dynamics (PSED) initially developed for social and commercial entrepreneurs. The Russian version of the methodology was elaborated and validated to study educational innovators. The sample consists of 437 participants of the Competition for Innovation in Education (KIVO). Four types of motivation are identified: social, self-realization, status, financial. They are explained within the self-determination theory (SDT) and grassroots innovations. The social and self-realization motives are inherent in all the actors, while the other two vary among innovators. This motivational structure allows the authors to differentiate between specific types of innovators – social entrepreneurs and ‘non-entrepreneurs’. The discussion, following the conclusion in this article, focuses on which environment would be favorable for developing innovations, considering the personal motives for innovative activity. The results can be valuable for education policy.
The role of European bank for reconstruction and development in financing Romania's economy before and during COVID-19 pandemic

Since it’s inception, the EBRD has been committed to promoting the market economy, private initiative and entrepreneurship. The EBRD provides finances for the banking system, and industrial and commercial companies, regarding new partnerships and but also investing in companies that already are functioning. It also provides finaces for public enterprises. All EBRD projects are made as to meet the client's necesities and according to the economic and financial conditions of the sector, region or country. In this paper we intend to present the EBRD's activity in Romania in the last 3 years but also its strategy for Romania for the present and next period, the period that is and will continue to be marked for a long time by the effects of the covid-19 pandemic.
PELATIHAN PROGRAM EVIEWS UNTUK MAHASISWA FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS WIRARAJA SEBAGAI SARANA UNTUK MENINGKATKAN KUALITAS PENELITIAN

Research is an obligation for every student who is at the peak of education, the peak is normally there in the fourth year since students take studying, so it becomes compulsory to write a research as a prerequisite to get a bachelor's degree. In writing a research course it will be faced with a method that will later be used in research. One such method is the quantitative method using Eviews 10 analysis tools. This tool can help students to process and analyze data quantitatively so that they will get quantitative conclusions as well, of course. This service is online method because it is related to an unfinished pandemic but that does not dampen students' intention to remain amnil part in learning. The obstacle faced in carrying out the service is that students only take the material but do not collect the assignments given.
On the Role of Pre-training for Meta Few-Shot Learning

Few-shot learning aims to classify unknown classes of examples with a few new examples per class. There are two key routes for few-shot learning. One is to (pre-)train a classifier with examples from known classes, and then transfer the pre-trained classifier to unknown classes using the new examples. The other, called meta few-shot learning, is to couple pre-training with episodic training, which contains episodes of few-shot learning tasks simulated from the known classes. Pre-training is known to play a crucial role for the transfer route, but the role of pre-training for the episodic route is less clear. In this work, we study the role of pre-training for the episodic route. We find that pre-training serves a major role of disentangling representations of known classes, which makes the resulting learning tasks easier for episodic training. The finding allows us to shift the huge simulation burden of episodic learning to a simpler pre-training stage. We justify such a benefit of shift by designing a new disentanglement-based pre-training model, which helps episodic learning achieve competitive performance more efficiently.
Analisis Cluster Hasil Uji Kompetensi Lembaga Sertifikasi Profesi (LSP) Melalui Teknologi Data Mining

The implementation of the Competency Test at the LSP institution in higher education is an effort to ensure that students have abilities in certain fields according to predetermined competency standards. Education providers are required to always strive to improve the quality and quality of education with the aim that the student's academic performance will always improve. From the results of observations made in the research location, it was found a problem with the high number of failures in the implementation of the competency test. This study aims to conduct cluster analysis of the data resulting from the implementation of competency tests with the Data Mining approach through several stages in the form of data collection, data cleaning, data transformation, data modeling and data evaluation. This study resulted in grouping the results of competency tests which were divided into 3 clusters, namely cluster 1 as much as 38%, cluster 2 as much as 32% and cluster 3 as much as 30%..