Reviewerly/exHarmony huggingface dataset:
ENSURING QUALITY OF LIFE BY MEANS Of ADULT EDUCATION

The changes taking place in the modern world and in the education system in particular are characterized by continuity and abruptness, but they have a strong impact on people. Modern education is designed to help adults be resilient to change and capable of reactive adaptation based on lifelong learning. The actualization of non-formal and informal education is associated with a change in the social role of education in the information society, the transition from the implementation of the compensatory function to a comprehensive individual personal development. Active life position, participation in social projects, awareness of one's own life and educational goals are important components of ensuring the quality of life of modern man.&#x0D; The modern concept of quality of life emphasizes the need to implement an authentic way of life, creating opportunities for the development of interpersonal relationships, conditions for various types of leisure, providing those needs that can’t be met only by material values, including educational. An adult during life has a steady need for education, due to the need to realize professional inclinations and abilities, personal interests and aptitudes. In this context, adult education is a tool for ensuring the quality of human life.&#x0D; In today's world, improving the quality of life is inextricably linked with the development of education, which is a prerequisite for the country's competitiveness in the global division of labor. Successful are those countries that invest in education, its development and long-term growth. Therefore, education is a significant component of the process of ensuring the quality of life of the individual. Participation in trainings, professional communities, workshops, seminars contribute to the formation of an active life position and life trajectory, personal development of an adult and his goal-setting.
Real-Time Vehicle Orientation Classification and Viewpoint-Aware Vehicle Re-Identification

Vehicle re-identification (re-ID) is based on identity matching of vehicles across non-overlapping camera views.Recently, the research on vehicle re-ID attracts increased attention, mainly due to its prominent industrial applications, such as post-crime analysis, traffic flow analysis, and wide-area vehicle tracking.However, despite the increased interest, the problem remains to be challenging.One of the most significant difficulties of vehicle re-ID is the large viewpoint variations due to non-standardized camera placements.In this study, to improve re-ID robustness against viewpoint variations while preserving algorithm efficiency, we exploit the use of vehicle orientation information.First, we analyze and benchmark various deep learning architectures in terms of performance, memory use, and cost on applicability to orientation classification.Secondly, the extracted orientation information is utilized to improve the vehicle re-ID task.For this, we propose a viewpoint-aware multi-branch network that improves the vehicle re-ID performance without increasing the forward inference time.Third, we introduce a viewpoint-aware mini-batching approach which yields improved training and higher re-ID performance.The experiments show an increase of 4.0% mAP and 4.4% rank-1 score on the popular VeRi dataset with the proposed mini-batching strategy, and overall, an increase of 2.2% mAP and 3.8% rank-1 score compared to the ResNet-50 baseline.
Electoral Process using Biometric Fingerprint Scanner that Suits the Bhutanese Election

Democracy is a gift from the golden throne; from 2008, Bhutanese people started to choose their leader by casting a vote. The right to vote and more importantly the exercise of franchise by the eligible citizens is the heart of every democracy [1]. Through this exercise of their right to vote have the ultimate power to shape the destiny of country by electing representatives who run the government and make decisions for the growth, development, and benefit of all the citizens. However, the voter turnout seems to be decreasing at an alarming rate based on the Election Commission of Bhutan [5]. This paper proposes an electoral process aiming at better voter turnout. It replaces whole electoral system using Biometric Fingerprint scanner for the voter authentication and a display unit connected to a central database which helps a voter to cast their vote from nearest polling station instead of having to go to his/her polling station to cast vote. It is a hybrid of internet voting and a traditional electronic voting method where the system uses electronic equipment at the nearest polling station to cast vote instead of using a personal laptop or mobile phone to cast vote using an app. The hybrid system is adopted with the major findings shown in “Internet Voting in Estonia” [13] which is a small country and suitable to adopt internet voting.
CODE SWITCHING AND CODE MIXING IN EFL CLASS AT HOMESCHOOLING KHALIFAH

&lt;p&gt;&lt;strong&gt;Abstract: &lt;/strong&gt;This study aims to determine: (1) The type of code-switching and code-mixing used, (2) The function of code-switching and code-mixing used by teachers and students, (3) The reason teachers and students use code-switching and code-mixing. This research was conducted using a qualitative descriptive method. Data collection in this study was carried out by observation, questionnaire, and interview and then analyzed and describing the results. The results show: (1) The types of code-switching and code-mixing often used are the type of intrasentential code-switching is 50.7%. Furthermore, the type of code-mixing alternation is 46.2%. (2) The code-switching and code-mixing functions used by teachers and students are as easy communication as is 42.5%. (3) Teachers and students use code-switching and code-mixing to facilitate communication in class and understand the material presented by the teacher.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords: &lt;/strong&gt;Code Switching, Code Mixing, EFL Class.&lt;strong&gt;&lt;/strong&gt;&lt;/p&gt;
PENYULUHAN KESEHATAN DENGAN METODE BRAINSTORMING DAN SIMULATION GAME TERHADAP PENGETAHUAN REMAJA PEREMPUAN TENTANG MENSTRUASI

Menstruation is periodic and cyclical bleeding from the uterus accompanied by the release (desquamation) of the endometrium. Menstrual bleeding is the result of a complex interaction involving the hormonal system with the body's organs, namely the hypothalamus, pituitary, ovaries and uterus. Every woman experiences menstruation with a different cycle. The cause of irregular menstruation is from genetics and from a bad lifestyle. The purpose of this paper is to provide health education between brainstorming methods and simulation games to increase knowledge about menstruation. Participants in the Health education were 66 grade X students at SMA Negeri Beringin. In the implementation of activities using an instrument (questionnaire) to collect data. related to increasing knowledge about menstruation. The conclusion of this activity is that health education using simulation game and brain storming methods can increase adolescent knowledge about menstruation in class X students at SMA Negeri Beringin.
Persepsi Siswa Kelas X MIPA 2 SMA Negeri 1 Tawangsari terhadap Metode Pembelajaran Berbasis Online dimasa Pandemi

This research was conducted with the aim of knowing the perceptions of students of class X MIPA 2 SMA Negeri 1 Tawangsari towards online-based learning methods. After the outbreak of the corona virus which has become a boomerang for various countries, learning for school students is carried out online from home. Opinion observation method is used as a method to analyze data in order to complete the research using a sample of 30 students of class X MIPA 2 SMA Negeri 1 Tawangsari. There are several categories that need to be considered in the research results. The categories that were considered were: learning materials, student interaction with teachers and students with other students, and learning atmosphere. So this research focuses on how students respond to online learning (online).
COVID -19: Case report of assertive treatment in diabetic patients

COVID 19 is currently one of the most impacting factors in world society, both because of the ineffectiveness of pharmacological measures and because of socioeconomic inequality. Diabetes is one of the comorbidities that makes the body more vulnerable to the development of severe COVID-19. Diabetes does not increase the patient's risk of becoming infected with the new coronavirus, but it does increase the chances of complications from the infection. This study uses a descriptive and observational methodology of the assertive evolution of the COVID-19 case report. It is a descriptive, exploratory, non-invasive method, with mediated intervention, in a 42-year-old male patient, type 2 diabetic, undergoing pharmacological monitoring and in treatment of lichenoid pityriasis with 500mg tetracycline hydrochloride, on alternate days. During treatment for pityriasis lichenoid, the patient contracted the coronavirus, changing the antibiotic for daily use, resulting in the remission of symptoms after 3 days of medication. This new scenario opens the possibility for clinical and scientific research through randomized studies of the antibiotic tetracycline hydrochloride 500 mg, to investigate its action on the viral replication of the new coronavirus.
Understanding Load Balancing Algorithms and Their Need in Cloud Computing

With each passing day, the number of users on the internet increases and thus does the data associated with them. This implies an exponential increase in the data storage and data processing units of practically all the servers on the net. Considering that the underlying idea and original purpose of the internet was to share data and resources, it becomes an increasingly difficult task to manage gigantic amounts of data associated with the ever-increasing number of users. This is why Cloud Computing has been able to bring a revolution in the world of technology and become the indispensable part of the internet that it is today. In this paper, we review the topic of load balancing and the various load balancing algorithms upon different measures. We also try to understand the most challenging problems that the cloud faces and some new load balancing techniques inspired from the natural world.
Medical Imaging Based Diagnosis Through Machine Learning and Data Analysis

Machine learning techniques have played an essential role in computer-assisted medical image analysisMedical Image Analysis. In this chapter, we will introduce several of our recent achievements with machine learning methods for feature extraction and representation, classification, dense prediction (segmentation and synthesis), and multi-modality analysis, across the pipeline of computer-assisted diagnosis (CAD). These methods consist of both traditional machine learning techniques and state-of-the-art deep learningDeep Learning based approaches. They were proposed to address pain points in the techniques, for example, similarity metric learning for better classification, 3D and sample-adaptive dense prediction models for segmentation and synthesis, and effective multi-modal imaging data fusion. These methods have been employed in different levels of medical imaging applications, such as medical image synthesis within and across imaging modalities, brain tumor segmentation, and mental disease classification. Common approaches used for related research topics are also briefly reviewed.
Segmentasi Citra Pembuluh Darah Retina Menggunakan Operasi Morfologi Iteratif

Retinal vessel segmentation is part of the morphological extraction of retinal blood vessels that plays an essential role in medical image processing. Manual segmentation is possible to do, but it is time-consuming and requires special operators. Moreover, the possibility of variability between operators is vast. This study aims to answer the shortcomings of the manual segmentation process by automatically segmenting retinal blood vessels. The main contribution of this study is the use of a simple method to iteratively segment retinal blood vessels.Â All processes in the segmentation are simulated using Matlab. The algorithm was evaluated by comparing the results of the automatic segmentation with 20 manually segmented images from the STARE dataset. The result show specificity 98.13%, accuracy 93.60%, sensitivity 56.42%, precision 80.48%, and the dice coefficient 64.06%. In conclusion, the automatic retinal blood vessel image segmentation process worked well.
Privacy Preserving Collaborative Machine Learning

Collaborative machine learning is a promising paradigm that allows multiple participants to jointly train a machine learning model without exposing their private datasets to other parties.Although collaborative machine learning is more privacy-friendly compared with conventional machine learning methods, the intermediate model parameters exchanged among different participants in the training process may still reveal sensitive information about participants' local datasets.In this paper, we introduce a novel privacypreserving collaborative machine learning mechanism by utilizing two non-colluding servers to perform secure aggregation of the intermediate parameters from participants.Compared with other existing solutions, our solution can achieve the same level of accuracy while incurring significantly lower computational cost.
Application of C4.5 Algorithm for Late Payment Classification of Insurance Premiums

The problem that often arises in insurance companies is the number of customers who do not smoothly pay premiums. The procedure that applies to the insurance during the grace period is 30 days. The insured customer must follow the premium payment procedure, if the customer does not pay the premium, the insurance policy will be canceled, this is part of the company's loss. An insurance company has a lot of data and this data can be processed to produce information on how to find out potential customer delays from a pattern formed using the C4.5 method. This research was conducted by applying the C4.5 algorithm using insurance customer data. The results of this study are a classification system for late payment of insurance premiums that can classify insurance customer premium payment status as a consideration for accepting insurance customers. The system test results show that the system can classify the status of insurance customer premium payments with a classification accuracy of 88%.&#x0D; Keywords: Algorithm C 4.5, Insurance, Classification, Premium
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS ANDROID PADA POKOK BAHASAN BARISAN DAN DERET ARITMATIKA

This study aims to produce a product, an android-based interactive learning medium, by utilizing the MIT App Inventor, which can use in row and series learning.This research and development procedure adapts the procedure carried out by Borg & Gall involving seven main steps, namely: 1) needs analysis; 2) the ability of researchers as developers; 3) developed products; 4) product concept; 5) product development; 6) expert test; 7) product trial.The results showed that the android-based interactive learning media on arithmetic sequences and sequences had been successfully developed by meeting the application quality criteria.It indicates that the Androidbased interactive learning media that has developed can be accepted and used as one of the learning media and independent learning resources that can be accessed flexibly.
Penerapan Model Waterfall dalam Pengembangan Sistem Informasi Akademik Berbasis Web sebagai Sistem Pengolahan Nilai Siswa

In a school, teachers have difficulty managing student grades because they still use the manual method. The development carried out has the aim of creating a value management information system that will make it easier for teachers to manage student grades, because teachers need to handle student scoring activities which require a lot of time and require considerable accuracy. This information system will be applicable at the Vocational High School (SMK) level. This system is web-based, so that teachers can access the web for value management and students can also access the web to see the results of their learning. The development method applied to this development is by using the waterfall method. The results of this development are to facilitate and accelerate the performance of teachers in managing student grades in the school and become a benchmark for students so that students can understand their learning outcomes.
The Novel Bilateral Quadratic Interpolation Image Super-resolution Algorithm

As a method of processing images, image interpolation has been widely applied to image processing.This paper proposed a new method of image super-resolution algorithm based on bilateral quadratic interpolation.We translate interpolation areas of the pixels to the specified area to construct the bilateral quadratic interpolation surfaces.The constructed surfaces are used to estimate the pixel values of the compensating pixel areas.By replacing each pixel with the corresponding areas, the image is amplified.The amplified images of the algorithm have more details remained than the results of the common algorithms.And this novel algorithm has a better improvement in the fidelity of the images.Moreover, it has a better performance in running speed and the quality of the images such as PSNR and SSIM.It can be used on the amplification of the color images, which can provide better quality amplified images for people.And it makes it convenient for people to study carefully on partial information of images.
Implementasi Manajemen Pembelajaran Daring Berbantuan Platform Kahoot Terhadap Kepuasan Mahasiswa

Online learning has become a model for mainstream learning interactions during the Covid-19 pandemic. Online distance learning is an effective way to tackle learning that allows teachers and students to interact in virtual classrooms that can be accessed anywhere and anytime. One of the learning alternatives that are popularly used today is virtual classes using the Kahoot platform. Learning using the Kahoot platform is very well used to increase student interest in learning. By using the Kahoot platform in online collaborative learning, it is possible to avoid learning alone, each member who is involved in collaborative online can utilize one another's resources and skills, this means that it makes it easier to get information from each member in it, evaluate ideas, monitor the work of one each other. Keywords: Online Learning, Kahoot, Student Satisfaction
The Role of Business Sophistication, Revenue Diversification, and Labor Relations on Firm Financing Choice

We model and empirically estimate the relationship of ordinal scaled dependent variable: firm financing choice with business sophistication, revenue diversification and labor relationship using Indonesian data. We use controlling variables derived from Trade off Theory and Pecking Order Theory literature. We then elaborate the baseline model to include additional categoric variables of location and ownership, besides the interaction terms. The dataset is constructed from World Bank Enterprise Survey Year 2015 and Generalized logistic —partial proportional odds regression is employed as an estimator. We find that better business sophistication leads to greater acceptance to financing from outsiders and more diversified firms tend to prefer external financing. Finally, a better labor relationship corresponds to a greater preference for internal financing.
Coherent differentiation

Abstract The categorical models of differential linear logic (LL) are additive categories and those of the differential lambda-calculus are left-additive categories because of the Leibniz rule which requires the summation of two expressions. This means that, as far as the differential lambda-calculus and differential LL are concerned, these models feature finite nondeterminism and indeed these languages are essentially non-deterministic. We introduce a categorical framework for differentiation which does not require additivity and is compatible with deterministic models such as coherence spaces and probabilistic models such as probabilistic coherence spaces.
Pemanfaatan Media Power Point Untuk Meningkatkan Minat Belajar Bahasa Inggris Siswa Kelas VIII SMP N 21 Kerinci

This research employs a class action of 2 cycles in grade VIII SMP Negeri 21 Kerinci with a total of 22 students. The data is collected using student interestquestionnaires, observation sheets and interviews. The results found that there was an increase in interest in learning English from SMP Negeri 21 Kerinci students by utilizing power point media. The increase can be seen from the average result of student interest in pre cycles being at 22.8, in cycle I increasing to 27, 23, until cycle II increased to 35.11. To sum up, the media power point can increase the interest of learning English students of the State Junior High School 21 Kerinci after achieving the indicator of success that wants to be achieved that is in cycle II
Free Open-Source High – Availability Solution for Java Web Application Using Tomcat And MySQL

With the growth of the internet, the number of web applications is also growing. Many web applications are becoming more important to the stakeholders that they cannot afford downtime which can cause loss of revenue, loss of productivity, etc. In the past, only big organizations with deep pocket could afford implement high-availability for their web application, but nowadays there are free open-source software programs that support high-availability feature available to everyone. This research studied the feasibility of implementing high-availability for Java web application system without using commercial software. This research compared the capability of proprietary and free open-source high-availability solution for Java web application based on a simple high-availability design, where a test Java web application was deployed into the environment based on proprietary and free open-source solutions, and tested how well each solution perform when problem occurs. The result showed that the free open-source high-availability solution worked, but not as well as proprietary one. However, the proprietary high-availability solution for database did not perform well, and neither did the open-source one. This research concludes that the free open-source high-availability solution works and thus made high-availability become much more affordable, especially for individual or small organizations with budget constraints.
Teaching in the digital library: A partnership between teaching librarians and digital library staff

On March 10, 2020, UCLA announced a transition to remote teaching through the end of winter quarter. Remote teaching has been extended through all subsequent teaching periods through summer 2021. Similarly, remote work has remained a predominant work situation for the majority of UCLA Library staff, although some staff have returned to in-person work to support services that required on-site activity. A wider return to work will begin in July 2021. After this year and a half of remote teaching, UCLA is planning to return to primarily in-person instruction starting in fall 2021 in line with changes to Los Angeles County public health guidelines.