Reviewerly/exHarmony huggingface dataset:
Fuzzy Model on Online Treatment Analysis for COVID-19

The purpose of this paper is to introduce a fuzzy model for patients suffering from COVID-19. We have defined primary, normal and abnormal infections based on the symptoms of the patients. Fuzzy numbers and Reverse order fuzzy numbers have been used to identify the stages of each patient. These models may help the doctors for online treatment of patients.
Challenges and lessons learned from digitizing small Brazilian herbaria

The digital era provides new opportunities for taxonomists, as well as for everyone that studies biodiversity. Many herbaria have been able to digitize their collections, a process that started with the typing of label data, moving more recently towards the digitization of each sample with the simultaneous acquisition of high-resolution images. Here we discuss some of the challenges we faced in digitizing samples and provide a series of suggestions to avoid common mistakes for herbaria that have yet to start the process. We used a professional camera, database management software, and a barcode scanner to digitize the collections of herbaria CRI, ECT, FURB, LUSC, and UFRN. Pre-revision of samples with prior restoration when needed, barcode fixation, and a good database allowed faster digitization of samples. Good database software and the formation of a network among small herbaria accelerated digitization and increased the number of images available of Brazilian biodiversity. Thus far, our joint efforts made 118,000 specimen images available online with the purpose of accelerating botanical research.
Implementation of Neural Network Algorithms in Predicting Student Graduation Rates

Higher education institutions are required to be providers of quality education. One of the instruments used by the government to measure the quality of education providers is the number of graduates. The higher the graduation rate, the better the quality of education and this good quality will positively affect the accreditation value given by BAN-PT. Therefore, in this study, researchers provide input for research conducted at Bhayangkara University, Greater Jakarta to predict student graduation rates using the Neural Network algorithm. Neural Network is a method in machine learning developed from Multi Layer Perceptron (MLP) which is designed to process two-dimensional data. Neural Network is included in the type of Deep Neural Network because of the depth of the network level and is widely implemented in image data. Neural Network has two methods; namely classification using feedforward and learning stages using backpropagation. The way Neural Network works is similar to MLP but in Neural Network each neuron is represented in two dimensions, unlike MLP where each neuron is only one dimension. The prediction accuracy obtained is 98.27%. unlike MLP where each neuron is only one-dimensional. The prediction accuracy obtained is 98.27%. unlike MLP where each neuron is only one-dimensional. The prediction accuracy obtained is 98.27%.
Preface

Following the recent successful examples of large technology companies, many modern enterprises seek to build Knowledge Graphs to provide a unified view of corporate knowledge, and to draw deep insights using machine learning and logical reasoning. There is currently a perceived disconnect between the traditional approaches for data science, typically based on machine learning and statistical modeling, and systems for reasoning with domain knowledge. In this paper, we demonstrate how to perform a broad spectrum of data science tasks in a unified Knowledge Graph environment. This includes data wrangling, complex logical and probabilistic reasoning, and machine learning. We base our work on the state-of-the-art Knowledge Graph Management System Vadalog, which delivers highly expressive and efficient logical reasoning and provides seamless integration with modern data science toolkits such as the Jupyter platform. We argue that this is a significant step forward towards practical, holistic data science workflows that combine machine learning and reasoning in data science.
Evaluation of the Influential Factors Affecting Survival of the Patients with Breast Cancer Using Bayesian Method

Evaluation of the Influential Factors Affecting Survival of the Patients with Breast Cancer Using Bayesian Method
Formation Of Key Digital Economy Competencies Among Graduate Students Of Technical Universities

The article analyses various possibilities for the formation of key competencies of the digital economy in line with the socio-political needs of society. A special role in this process is given to graduate students of technical universities as personnel of higher qualifications, prepared not only for professional, but also scientific activities. The digital economy is understood by the authors as a business activity in which the key factor of production is digital data. The development of a training system for the digital economy is one of the most important areas in line with global trends in the transition to the information society. In order to more successfully and effectively use the personnel base, university graduates must master the key competencies of the digital economy for their use in their work activities. The authors of the article highlighted the Russian specifics of a higher technical school and the training of graduate students: connection with the real sector of the economy, production, industry, in which digitalization is increasingly "gaining momentum": technical capabilities and resources in the implementation of scientific and pedagogical activities, value orientation of graduate students and graduates of technical universities. Taking into account international experience, the authors propose certain measures to increase the effectiveness of the formation of key competencies of the digital economy: working with standards for the training of graduate students in engineering universities; development of information communication, intensification of creative and inventive activity of graduate students.
Planning for Small-Scale Business (USK) Batik Wastewater Treatment Plant X Yogyakarta

Small scale business / Usaha Skala Kecil (USK) X currently does not have a batik wastewater treatment unit. This condition causes the possibility of contamination to water bodies. USK X wastewater treatment applications' planning needs to be carried out sustainably, namely by reusing water. The process units needed in this planning are the sequencing batch reactor (SBR) and constructed wetlands. The effluent of textile wastewater with this system for parameters BOD, COD, TSS, sulfide, total oil &amp; fat, and color were 0.13 mg/L; 106.5 mg/L; 2.4 mg/L; 0.036 mg/L; 0.07 mg/L; and 90.67 PtCo, respectively. The dimensions of the SBR unit required are 0.75 x 0.6 x 1 m. Modification of the SBR unit uses an ozone generator to produce ozone gas which functions as oxidation of organic pollutants and colors in batik waste. After processing in the SBR unit, it is carried out using a constructed wetland with 2.56 m2.
Organization and results of a comprehensive examination of the educational environment in rural school

Creating educational environment aimed at maximizing the potential of the student's personality, comfortable conditions of stay in an educational organization for all the main subjects of educational relations is one of the most important practical tasks of modern schools and preschool educational organizations. Natural questions arise: what conditions should be created, how should they be organized from the point of view of personal potential development, how to select from the whole variety exactly those that, on the one hand, correspond to the mission of the school, on the other, are significant for all subjects of relations and at the same time are aimed at the development of the entire organization as a whole? A comprehensive examination of the educational environment helps to answer these questions and competently design a personality-developing educational environment. Schools and kindergartens of the Yaroslavl region participating in the regional project «Implementation of a comprehensive program for the development of personal potential» carry out such an examination as part of the preparation and organization of a personality-developing educational environment in their institutions. Rural educational organizations are also included in this process. The participants work in the ideology of V. A. Yasvin environmental approach and include in the examination of the educational environment, first of all, the diagnostic tools proposed by this scientist. The article describes the experience and summarizes the results of the organization of a comprehensive examination of the educational environment by project teams of rural schools and kindergartens.
SIMPLE METHOD IN TEACHING TAMIL YAAPPU GRAMMAR

The specialty of the Tamil Language lies in its excellent grammatical structure. There are five types of grammar: Letters, Words, Porul (Meanings), Yaappu, and Ani. Among these are the grammar of composing verses and preserving the structure of Tamil poetry. Intricate elements such as ethugei, monei, iyebu express the specialty that can be placed within each foot. Due to the presence of these elements in poetry/seiyul, one can easily memorise and store it in his/her memory bank. Yaappu grammar knowledge is important not only to poetry writing enthusiasts but also to avid poetry readers. The first step that Yaappu grammar learners need to know is separating the ‘seer’. The younger generation consider this separation aspect to be the most difficult task. Not surprisingly, the younger generation does not show much interest in learning Yaappu grammar. If we really manipulate the deconstruction technique with the simple mathematical knowledge that we have, Yaappu grammar will be easy for everyone. Therefore, the purpose of this article is to introduce a simple technique of sorting, using the mathematical knowledge to introduce the learning and teaching process for university students and to identify the directory status of the students through pre-testing and post-testing.
Statement of retraction: traffic prediction and transmission scheduling of artificial intelligence-driven cognitive wireless networks

This article refers to:RETRACTED ARTICLE: Traffic prediction and transmission scheduling of artificial intelligence-driven cognitive wireless networks
Sistem Pendukung Keputusan Pemilihan Ketua Osis Di Sekolah Menengah Atas (SMA) Negeri 1 Mulak Ulu Menggunakan Metode Analytical Hierarchy Process (AHP)

Decision support system (SPK) is a computer-based system that is intended to help decision makers by utilizing certain data and models to solve various unstructured problems. From the results of research observations, it was found that the system used to elect prospective student council candidates at the State High School 1 Mulak Ulu still uses a manual selection system. This study aims to design a decision support system for OSIS chair election using the Analytical Hierarchy Process method in which OSIS chair election takes into account the criteria of intelligence, activeness, crafts as well as the vision and mission of the student council president candidates. In making this decision support system using the Programming Hypertext Preprocessor programming and Mysql database. While the system development method uses the Waterfall method with the stages of analysis, design, coding and testing. The final results obtained after being tested in the State High School 1 Mulak Ulu is a decision support system that has the ability to solve problems in the process of selecting the student council president
Acknowledgment to Reviewers of Minerals in 2021

Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Abstract 22: Geospatial Modeling To Optimize Mobile Stroke Unit System Deployment In A Large Metropolitan Region

Introduction: Transition from evidence to practice is the next challenge for Mobile Stroke Units (MSUs) now that two controlled studies have shown improved outcomes (BEST-MSU and B_PROUD). This requires successful integration into EMS systems. We sought to utilize geospatial mapping to identify the most efficient number and positioning of MSUs in Los Angeles (LA) County to maximize patient access. Methods: LA County has one of the largest EMS systems in the US, comprising 88 cities, more than 4000 sq miles, and a population of 10.2 million. Using ESRI/ArcGIS software, we performed geospatial mapping of all 911 calls resulting in a final diagnosis stroke from July 2016 - June 2019, converting street addresses to latitude/longitude. Regional heatmaps of stroke call volume were generated for day/evening (7 am-10 pm) vs nighttime (10 pm-7 am) and ischemic vs hemorrhagic stroke, superimposed upon available stroke centers and neighborhood sociodemographic factors. Based on pilot experience, each MSU was projected to be able to service a 10-mile radius. Results: Among 10,818 EMS responses for acute cerebrovascular disease during the 3-year study period, calls occurred during day/evening in 84.5% and nighttime in 15.5%. Stroke type was ischemic in 78.8% and hemorrhagic in 21.2%. Heat maps revealed multifocal geographic hotspots, with most active locations somewhat different for day/evening vs night and ischemic vs hemorrhagic. The spatial analysis algorithm determined that optimal placement of 5 MSUs in highest incidence areas would provide coverage for 87.0% of county stroke events. Positioning of 2 additional units in geographically isolated perimeter areas increased coverage to 91.9% of stroke events (Figure). Conclusions: Geospatial modeling can delineate the most efficient positioning of MSU resources within regionalized EMS systems of stroke care. Optimal position varies with time of day and with prioritization of coverage for ischemic vs hemorrhagic stroke.
THE EFFECT OF EDUCATIONAL BACKGROUND LEVEL AND AGE OF PARENTS TOWARDS STUDENTS' LEARNING OUTCOMES IN ONLINE LEARNING

This research aims to determine the effect of parents’ educational background level and the age on the elementary school students’ learning outcomes in the implementation of online learning during the Covid-19 pandemic. The research was conducted at Kutowinangun 08 State Elementary School, Kutowinangun Lor, Tingkir, Salatiga City. The research was carried out in July for two weeks. The research sample was determined by using a cluster sampling consisting of all parents of fourth grade students. Multiple linear regressions test was employed to analyze the data. The findings showed that 1) There is an effect between the level of the parents’ educational background level on the students’ learning outcomes which shows the obtained of 2.441 &gt; 2.052 and the significance value shows Sig. 0.022 &lt; 0.05; 2) There is an effect between the age of parents on the students’ learning outcomes which shows the obtained of 2.181 &gt; 2.052 and the significance value shows Sig. 0.038 &lt; 0.05; 3) There is an effect between the parents’ educational background level and the parents’ age on the students’ learning outcomes which shows the obtained of 17.804 &gt; 3.34 and the significance value shows Sig. 0.000 &lt; 0.05.
MASJID NABAWI SEBAGAI DASAR PEMBENTUKAN MASJID AGUNG KRATON SURAKARTA

ABSTRACT&#x0D; Prophet Muhammad was the architect and ground-breaking stone for the construction of the Prophet's Mosque or an-Nabawi in Medina in 622. The Prophet's Mosque was established with a very simple design yet it owns beneficial functions. The Prophet's Mosque is a place often used for various purposes for instance as government centers, learning centers, medical treatment place, detention and rehabilitation centers, and certainly more social or worshipping center. Building designed with a simple form but rich in functions had never existed before. Therefore, Prophet's Mosque had become the basis, inspiration, and catalyst for the development of Islamic civilization especially mosque architecture.&#x0D; The architecture of the mosque then became the most important identity for the progress of Muslims. The essence of Muslim architecture lies in function with all of its dimensions including the physical, intellectual, and spiritual aspects. The role of form is also important, but only insofar as it complements and enhances function. There are four typical mosques that are considered to represent the heritage of Islamic architecture in this world which were inspired by the Prophet's Mosque, namely; Arabic Type, Turkish Type, Persian Type, and Indian Type. This typology does not include the type of Indonesian mosque, even though the mosques built by Walisongo and the kings of Islamic Mataram in Java are no less great and unique compared to other famous mosques in the world. The question that then emerges is whether or not the Prophet's Mosque is the basis and inspiration for the realization of the Architecture of the Great Mosque of Keraton Surakarta.&#x0D; &#x0D;
Craft Cloud (E-Doorway for Artistic Works) Web Development

Craft Cloud is an online platform where people with different skills can showcase and sell their talent and Artworks. Like, a musician can add their skills and can get paid for a performance in a birthday, anniversary celebration, or whatsoever. It will also have a separate place on the platform for selling and purchasing handicraft etc. from all over India with a price predicting algorithm that will help clients from not getting underpaid and users from not getting overcharged for their service. In today’s fast changing business environment, it’s extremely important to be able to answer client needs within the simplest and timely manner. This project allows viewing various products available, enables registered users to urge desired products instantly using PayPal payment processor (Instant Pay) and may also place orders by using the Cash on Delivery (Pay Later) option. This project provides quick access to Administrators and Managers to look at orders placed using Pay Later and Instant Pay options. The project technologies are server and client-­side scripting techniques, multi-­tiered architecture, relational databases, implementation technologies, and programming language. This is often a project with the target to develop a basic website where a consumer is given a handcart application and also to know about the technologies wont to develop such an application. This document briefs each of the underlying technologies to implement and form an ecommerce website.
The Digital Literacy Action Plan: A Strategy for Differentiation and Learner Agency in Digital Literacy Instruction

When I began my career in adult education as an adjunct ESL teacher, I felt well-equipped with an understanding of second language acquisition and evidence-based teaching methods.At the time, I knew nothing about digital literacy.Once I began to understand its importance and the challenges that it posed in the classroom, I developed the Digital Literacy Action Plan, an instructional strategy designed to differentiate, increase learner agency, and address digital equity concerns.This article is written for adult basic education instructors who aim to integrate digital literacy skills into their instruction in a way that is meaningful to each learner and empowers learners to acquire digital skills autonomously.
Chinese Phenomenon of “Pre-knowledge” as Traditional Element of Predicting Digital Future

In the culture of the old imperial China, the phenomenon of prognostics was raised to a certain cult. The ancient Chinese believed that in everyday activities, knowledge can be revealed to the world, but in predictive practice, pre-knowledge is always hidden. Pre-knowledge has also found its niche in modern prognostics, which implements high international standards. The contribution considers some specific features of the Chinese phenomenon “pre-knowledge” in the context of the world experience of using foresight. In the course of this research, such classical theoretical philosophical methods as the method of generalization, analogy, abstraction, analysis and synthesis were used. The authors also applied logical-epistemological analysis to enter and interpret the concepts necessary for the study. During the analysis of modern Chinese foresight projects, it is shown that the state foresight of China includes elements from not only the model of Japanese foresight, which grew out of the classic American one, but also traditional knowledge. It is concluded that the phenomenon of “pre-knowledge” will find its special place in the study of the digital future of our society.
Activities Faced by Lecturers` Receptive Skills in Covid-19 Pandemic at STKIP-PGRI Lubuklinggau

Nowadays, the education situation still in a struggle stage. This is because of the situation of Covid-19 pandemic. This situation made the govermen issued some policy. It made the teaching and learning process in this time have to implement Blended learning. This methos was a new for some lecturer one of them were the lecturers in STKIP-PGRI Lubuklinggau. They still face some challenges in applied this method because there was no a significant or fixed guidline in teaching process both in online or offline classroom. Based on the fenomena, this research aims to carry out the teaching activities done by lecturers` receptive skills in the Covid-19 period at STKIP-PGRI Lubuklinggau in implementing Blended Learning. The research informants were the lecturers` receptive skills that consisted of 2 reading skill lecturers and 1 listening skill lecturer. They taught with Blended Learning in the even semester of the academic year 2020/2021. This research was descriptive qualitative. The research instruments were questionnaires and interview. The instruments adopted from the activity theory by Meliawati, Nitiasih and Budasi (2014). The technique of data analysis were reduction, display and conclusion. The results showed the activities carried out by lecturers during teaching with Blended Learning consist of 3 parts: Pre-activity, Whilst-activity and Post-activity where each part consists of two different activities between online classes and offline classes.
PBIL for optimizing inception module in convolutional neural networks

Abstract Inception module is one of the most used variants in convolutional neural networks. It has a large portfolio of success cases in computer vision. In the past years, diverse inception flavours, differing in the number of branches, the size and the number of the kernels, have appeared in the scientific literature. They are proposed based on the expertise of the practitioners without any optimization process. In this work, an implementation of population-based incremental learning is proposed for automatic optimization of the hyperparameters of the inception module. This hyperparameters optimization undertakes classification of the MNIST database of handwritten digit images. This problem is widely used as a benchmark in classification, and therefore, the learned best configurations for the Inception module will be of wide use in the deep learning community. In order to reduce the carbon footprint of the optimization process, policies for reducing the redundant evaluations have been undertaken. As a consequence of this work, an evaluation of configurations of the inception module and a mechanism for optimizing hyperparameters in deep learning architectures are stated.
Cryptography 101

The study of the algorithms presented in this chapter are well beyond the scope of any book you can find or course you can take. They require years of understanding and treatment and build upon algebraic concepts familiar to specific fields of mathematics. But luckily theoretical insight into how cryptographic algorithms work isn’t a requirement for using these tools in practice, so long as you understand their purpose and implications. In other words, a working knowledge of how to use cryptographic libraries is what’s important here.