Reviewerly/exHarmony huggingface dataset:
Human's Behavior Tracking in a Store Using Multiple Security Cameras

Recently, various Internet of Things (IoT) platforms offer cloud-based AI using their services like Machine Learning and Neural Networks that operate in their powerful computer engines and provide functionality to IoT devices.Artificial intelligence is widely used in the topics of computer vision for developing smart technologies and intelligent systems.The aim of this research is to create an automatic tool for tracking human's behavior in stores to identify the most popular places.Based on this information, more efficient product or commercial arrangements could be applied that are based on the latest tendencies.In this paper all humans as objects were localized by identifying human features using Gaussian mixture probability density model.After all images were collected and humans were labeled, the real-time human detection and tracking methods were realized.Several NN architectures were analyzed and compared.It appears that the pre-trained Custom Vision model reaches 80% accuracy in 1 hour of training at Microsoft Azure platform.The proposed technique allows not only to track people's behavior but also create a heatmap of the store providing the most visited places, where customers stop and pay more attention.
Onde os brasileiros obtiveram os medicamentos para o diabetes na pandemia de COVID-19? Resultados da DIABETESvid

Access to diabetes medications is critical to disease control. However, social distancing in the COVID-19 pandemic may have limited the provision of medicines and supplies. Thus, the objective of this study was to analyze the sources of obtaining diabetes drugs in the COVID-19 pandemic in Brazil. The data came from the DIABETESvid survey, and this analysis considered a convenience sample of 1608 participants who responded to the questionnaire published on social media of scientific societies related to diabetes. This is a cross-sectional study, conducted in the form of a web survey, from September 1 to October 19, 2020. The outcome analyzed was the sources for obtaining diabetes drugs categorized in pharmacies of the "Sistema Único de Saúde", pharmacies of the “Aqui tem Farmácia Popular” program, as well as private pharmacies and drugstores and other sources. Most participants self-reported a diagnosis of type 1 diabetes mellitus (49.8%), used insulin (61.9%), and had a private health plan (68.7%). Private pharmacies and drugstores and other sources were the main places where medicines for diabetes were supplied (47.5%). Participants residing in the Midwest region of the country had a lower frequency of supply in pharmacies in the “Aqui tem Farmácia Popular” program (0.57; 95%CI 0.36-0.92). In the studied sample, there was a higher frequency of supply of diabetes drugs in private pharmacies and drugstores and other sources with a reduction in frequency in public pharmacies during the COVID-19 pandemic in Brazil.
SISTEM INFORMASI ADMINISTRASI PADA PUSKESMAS BERBASIS MOBILE

In the current era of globalization, information technology is one of the technologies that is currently developing rapidly. Information technology has now played a very important role in the world of business or business. Besides, the presentation of a good information system is very helpful in making decisions by the management appropriately and is very helpful in improving information systems within an institution.&#x0D; UPTD Pegandon Public Health Center as one of the public service institutions requires the existence of an information system that is fast, accurate, effective and efficient, to improve its services to patients and the related environment in it. With such a wide scope of services, of course, there are many complex problems that occur in the service process. The number of variables also determines the speed of information flow needed by users and the Puskesmas environment. The registration process, recording payment transactions, searching for patient data and patient payment reporting systems that still use manual methods, are of course also very prone to errors.&#x0D; To improve patient services, it is necessary to implement an Administrative Information System and the Pegandon Public Health Center UPTD is also expected to take on a role as a facilitator in developing patient services to improve and facilitate serving and providing information through Information Technology. With the Web-Based Administrative Information System, it is hoped that the performance of the Pegandon Health Center UPTD can be improved, so that the quality and quality of service increases.&#x0D;
Infrared and Near-Infrared Image Generation via Content Consistency and Style Adversarial Learning

Infrared (IR) and Near-Infrared (NIR) images, which are more robust to illumination variances and more suitable for all-whether applications than visible (VIS) images, have been widely applied in the computer vision community. However, it’s cost-intensive and labor-demanding to collect IR/NIR images for downstream tasks. To solve this issue, a promising solution is generating IR/NIR images from visible ones via style transfer. Unfortunately, existing style transfer methods impose excessive constraints on preserving content or style clues while attaching little importance to both of them, which can not well capture the characteristic of IR/NIR image generation. In this paper, we propose an effective style transfer framework, termed Content Consistency and Style Adversarial Learning ( $$C^2SAL$$ ), for IR and NIR image generation. Firstly, we propose the content consistency learning which is imposed on the refined content features from a content feature refining module, leading to the improvement of content information preservation. Besides, a style adversarial learning is proposed to achieve the style consistency between generated images and the images of the target style, which promotes the overall style transfer by utilizing both pixel-level and image-level style loss. Extensive experiments on challenging benchmarks, including detailed ablation study and comparisons with state-of-the-art methods, demonstrate the effectiveness of our method.
Estonian Elderly Speech Corpus – Design, Collection and Preliminary Acoustic Analysis

Elderly speech has been found challenging for automatic speech recognition systems due to the lack of suitable training data and due to age-related physiological changes affecting the acoustic characteristics of voice.The paper introduces the collection of the speech corpus of Estonian elderly speakers aged over 60 years and reports preliminary results of acoustic analysis of some prosodic characteristics.The corpus contains the recordings of spontaneous speech by 100 men and 100 women, on average 29 minutes of speech from each speaker with transcriptions.Acoustic analysis of elderly speech revealed that with age (1) F0 increases significantly in males and slightly decreases in females, (2) speech and articulation rates decrease in females, but not in males, (3) utterances are getting shorter, and (4) pauses are getting longer in females and shorter in males.
Playing with NeMo for Building an Automatic Speech Recogniser for Italian

This paper presents work in progress for the creation of a Large Vocabulary Automatic Speech Recogniser for Italian using NVIDIA NeMo. Thanks to this package, we were able to build a reliable recogniser for adults’ speech by fine tuning the English model provided by NVIDIA and rescoring it with powerful neural language models, obtaining very good performances. The lack of a standard, reliable and publicy available baseline for Italian motivated this work.
Product Development: A Synergy of Teams and Techniques

Product development is a very involved process, and before we get into the technical blocks of any software product, it’s helpful to get a general understanding into what a product is and by whom and how a product is developed and released into the market.
Trade Liberalization, Institutions, and Economic Growth in Malawi

The study provides an empirical assessment of how institutions and trade liberalization affect Malawi’s economic expansion. It tackles the absence of empirical research into how institutions affect economic growth and how trade liberalization policy affects institutions’ influence on growth (interaction effect). The study also seeks to find out if economic growth, however, affects institutions as theories differ on causality. The study uses a time series analysis and autoregressive distribution lag (ARDL) technique to obtain short-run and long-run results. The study was conducted from 1988, the official inception year of trade liberalization in Malawi, to 2014. The empirical results show that political and economic institutions, as well as trade liberalization, affect Malawi’s economic growth in both the short term and the long term. Trade liberalization and political institutions negatively affect economic growth in the short run and long run, whereas economic institutions positively affect economic growth in the short run and long run. The findings also show that when strong economic institutions rather than strong political institutions are present, the effect of trade liberalization on economic development is more prominent (positive). Finally, the study also finds that it is institutions that affect economic growth in Malawi and not the other way around.
Autonomous Driving Systems

The autonomous driving ability is provided by the autonomous driving system based on blocks consisting of combinations of functions and properties that define the characteristics of the environment and the objects found in this environment.
Seeking Outstanding Feature Articles: First Results of the Oceanography Survey

Over the summer, TOS conducted a survey of its membership, asking questions about how readers primarily access Oceanography (paper or online), what content they read the most, what subjects we should cover in the future, and whether they anticipate publishing an article in Oceanography in the next three years. The main purpose of the survey was to see if, on the magazine’s 35th anniversary, we needed to make some adjustments to maintain our readership. With the more than 100 responses submitted, spanning all career levels, I am pleased to report that overall, survey respondents seem to be content with our current format, and they offered many excellent thoughts on topics Oceanography should cover in the future and areas where we could do better.
Jurnal Transformatif UNDERSTANDING OF DOING RESEARCH AND ITS GUIDELINES TO DO A GOOD RESEARCH

Research has well-known as an effective tool to reveal the nature of phenomena and events that occurs around human beings and their environment. A group of experts or well-known as researchers with their curiosity manner always lead them to question why a certain kind of phenomena or event occurs around human beings. For example, researchers curiously question why some students bully other students or why these students are bullied at schools. These questions lead these researchers to investigate these bullying phenomena at schools. It seems that research is about to investigate a certain issue in order to find the answer and the truth as well and why the issue emerged. However, this kind of explanation about research is not yet clear. It is thus very important to have a good understanding of doing a research such as assumptions, paradigms, ideology and methodsof research itself. This article discusses the understanding of doing research and its guidelines to do a good research.Keywords: research assumptions, paradigm, ideology, methods&#x0D;
Automatic Identification of Fake News Circulation in Social Media using Logistic Regression over Naïve Bayes and Xg Boost Algorithm to Improve Accuracy

Aim: To Detect the Fake News in Social Media using Logistic Regression and XGBoost Algorithms.To achieve accuracy a novel logistic regression is used.Materials and Methods: The datasets extracted from the kaggle data world and those datasets named as 'TRUE' and 'FAKE'.Accuracy and loss are performed with datasets from kaggle library.The total sample size is 20.The two groups considered were Logistic regression (N=10) and xg boost (N=10).Results: Novel logistic regression pops up with the mean accuracy of when contrasted with the Xgboost algorithm.Mean Accuracy value for Logistic Regression and XgBoost Algorithm is 93.68 and 92.93 respectively.Mean Loss value for Logistic Regression and Xg boost is 6.31 and 7.06 respectively.Ultimately Novel logistic regression(NLR) pops up with a better significant value than the Xgboost algorithm.The two algorithms NLR and Xgboost are statistically satisfied with the independent sample T-Test value (p<0.006) with confidence level of 95%.Conclusion: Detecting fake news significantly seems to be better in Logistic Regression than xg boost.
Manifestation of Functional Ensembles of Intellectual Agents Based on Live Information in Various Spheres of Life Activity

Abstract: Neural networks with deep learning and reinforcement are able to compose poetry and music, draw paintings, and write short stories, as well as come up with scripts for films. Functional ensembles of harmoniously interacting intellectual agents with living information can virtually model creativity for various spheres of life activity. Virtual modeling of creativity by harmoniously interacting intellectual agents is carried out based on living creative processes represented by acts of creation accumulated by humanity in a certain sphere of life. Live information of creative acts of creation for functional ensembles from harmoniously interacting intellectual agents is revealed from the effective creative practice of specialists in specific conditions and presented in the format of smart ethical communicative-associative cases. To model creativity, a virtual environment of a certain sphere of activity is formed, in which the ensemble gives birth to a creative fruit according to the plan of a specialist. Functional ensembles of harmoniously interacting intellectual agents with live creative practice can cooperate with a person, and can also independently virtually model the creative creation of new designs of a specialist, if the ensemble has enough acts of creation.
Hardware Implementation of an Accelerated Approximated Matrix Multiplier Based on MADDNESS Algorithm

The article proposes a technique for creating of hardware implementation of an accelerated approximated matrix multiplier MADDNESS.This multiplier has good performance in terms of accuracy and speed and at same time is distinguished by simplicity of the decoder.As a result of the research, it was possible to achieve a very high speed of the multiplier at the hardware level by rejection of the multiplication operation as such.At the same time, the quality of the obtained prediction remains high.
Enhancing Education Experience using Augmented Reality

This study examines the application of augmented reality across numerous academic fields. The COVID-19 pandemic shows how distance learning must change to endure a wave of tragedy and maybe adapt to the new normal. The ongoing increase in student interest in school remains a significant issue for children’s education. While augmented reality (AR) has many benefits for students, it also makes it simpler for teachers to clarify ideas and make sure that pupils understand them, especially when the subject is more challenging. Two significant technologies for creating augmented reality (AR) apps are unity and Vuforia. We built the Android app ARLearn using the above tools as a base. Students will be more interested and engaged in lessons that use augmented reality software. The use of AR in education has the potential to be a very interesting and practical strategy that changes how education is provided in the next years. As part of our ARLearn initiative, we are looking into several industries for the AR learning approach.
An Econometric Analysis of Investment and Poverty: A Panel-Data Analysis of Selected Asian Economies

This paper is an endeavor to explore the contribution of investment towards poverty reduction.A balanced panel of fifteen selected Asian countries was developed, covering the annual data of 25 years ranging from year 1993 to 2017.In addition to the investment, analysis was controlled through the inclusion of variables such as inflation rate, employment rate and Human Development Index (HDI).Unit root tests followed by the cointegration tests were applied that verified the existence of long run association between investment and poverty.Furthermore, the coefficients of the variables were estimated through fully modified ordinary least squares (FMOLS) method of panel regression.The findings tend to support the literature and validate that investment reduces poverty significantly.This alludes to the fact that policy makers may design the development policies in a way that could enable the investment as conducive towards poverty reduction and development.
Pembelajaran Bahasa Inggris Anak Sekolah Dasar Pada Program Belajar Dari Rumah Di Desa Sidomulyo

English lessons are considered difficult for junior high school children because they never get these lessons in elementary school. In addition, learning, which was originally carried out face-to-face (offline), has changed to online or is carried out boldly during the COVID-19 pandemic. Learning assistance from home (BDR) must be carried out so that elementary school children in grades 1-6 in Sidomulyo Village can be technologically literate, especially in the use of gadgets and the internet to learn English online. The BDR Learning Method applies the Discovery-Inquiry Learning (DIL) model. This model is a combination of the discovery learning model and the inquiry learning model. The results of the survey during BDR showed that many children feel enthusiastic and interested in participating in learning. In addition, the expertise in operating cellphones to learn from YouTube, Google Drive, and Whatsapp media is considered easier to apply even though 30% of them still have some problems with internet connection.
STUDENTS’ ANXIETY IN SPEAKING ENGLISH DURING ONLINE CLAS

This research is focused on identifying the factor of students’ anxiety in speaking English during online class. This research used descriptive qualitative research design. The object on the 10th grade of Senior High school. The researcher employing observations, interviews to collect data and data analysis in this research was descriptive analysis, data display, conclusion or verification and triangulation. The researcher hopes this study will be useful as guidance for the teacher, researcher and the other, and make the teachers realize that speaking anxiety gave an influence on speaking performance especially in online class teaching, and the teacher should be more creative to teach their students and make them be more confident to speak English based on the factors caused the students anxiety in speaking English during online class
Computatrum Personae: Toward a Role-Based Taxonomy of (Computationally Assisted) Performance

Computationally assisted performance is a burgeoning area for AI applications, and an important stepping stone toward the dream of generative and personalized narrative experiences. As more pieces of computationally assisted performance are developed, it will become ever more important to develop a vocabulary with which to describe them. Inspired by previous work in creating taxonomies for other related domains, this paper outlines a taxonomy for performance-based experiences, drawn from digital games, traditional theatre, and the hybrid of the two. Having such a taxonomy not only creates a common language with which to discuss such experiences, but reveals unexplored design space in the field, and the particular applications of artificial intelligence necessary to realize them.
A Novel Discriminative Dictionary Learning Method for Image Classification

In this paper, we present a novel discriminative dictionary learning (DDL) method for image classification. The local structural relationship between samples is first built by the Laplacian eigenmaps (LE), and then integrated into the basic DDL frame to suppress inter-class ambiguity in the feature space. Moreover, in order to improve the discriminative ability of the dictionary, the category label information of training samples is formulated into the objective function of dictionary learning by considering the discriminative promotion term. Thus, the data points of original samples are transformed into a new feature space, in which the points from different categories are expected to be far apart. The test results based on the real dataset indicate the effectiveness of this method.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS ANDROID DALAM MENINGKATKAN ASPEK NILAI AGAMA DAN MORAL DI RA AN-NUR DERO

ABSTRACT The picture puzzle method is guessing, guessing and guessing about questions in the form of sentences, stories or pictures that are presented vaguely, usually to sharpen the mind. Literacy is the ability to name known symbols, recognize sounds, the initial letters of the names of objects around, mention groups of pictures that have the same sound or initial letters, write their own names and read their own names. The objectives of this study are: (1) To describe the process of literacy skills in the pictorial puzzle method at RA Ar-Romaliyah, Slumbung hamlet, Padas village.(2) To improve children's writing and reading skills through the picture puzzle method at RA Ar-Romaliyah Dusun Slumbung Padas Village. This type of research uses a qualitative approach with a descriptive method, where data is collected by means of observation, interviews and documentation. The sources of this research are the Principal, Class B homeroom teacher and students. The results of this study will be presented in the form of sentences, not in the form of numbers. The analysis technique that the writer uses is data reduction, data presentation and conclusion drawing. Based on the research that has been done, it shows that: (1) To describe the process of applying literacy skills in the pictorial puzzle method at RA Ar-Romaliyah, Slumbung hamlet, Padas village. (2) To determine the impact of improving children's writing and reading skills through the use of the picture puzzle method at RA Ar-Romaliyah Dusun Slumbung Padas Village Key Words: Literacy, Picture Puzzle Method
KELAYAKAN MATERI AJAR YANG DIGUNAKAN GURU BAHASA INDONESIA DALAM PROSES PEMBELAJARAN DARING

AbstrackThe background of this research is to determine the feasibility of teaching materials from the analysis of aspects of content, presentation, language, and graphics. The teaching material used in the online learning process during the pandemic that is used by teachers in delivering teaching materials is Ruangguru. The teaching material presented by the application is in the form of a slide. The purpose of this study was to describe the feasibility of teaching materials used by Indonesian language teachers in the online learning process in class VIII of the 2020/2021 school year of SMP Negeri 7 Sungai Raya. This study used descriptive qualitative method. The data in this study were sourced from news text teaching materials and explanations for class VIII contained in the Ruangguru application. Based on the results of news text analysis and explanation from the aspect of content feasibility, it is categorized as very feasible. The results of the analysis on the aspect of presenting the news text material and explanations are categorized as less feasible. Furthermore, the linguistic aspect of the news text material is categorized as very appropriate (KBBI)-appropriate (PUEBI), while the explanatory text is categorized as very appropriate (KBBI)-less feasible (PUEBI). The last aspect of feasibility, namely the graphic analysis of news text material and explanations, is categorized as very feasible because all the material meets the graphic criteria.Keywords: Appropriateness, Online, Ruangguru, Teaching Materials.