Reviewerly/exHarmony huggingface dataset:
Some Algebraic Structures On Poset And Loset

Is´eki and S. Tanaka [4] has introduced a new concept BCK algebras in 1966. Many researchers have developed various concepts using BCK/BCI algebras.Numerous results have been established using BCK/ BCH algebras and their properties. In this paper the existence of some systems has been established which are neither a BCK/BCI algebra nor a BCH–algebra Such system has been named as weakBCK/BCI – algebras. Some properties of poset and losethas also discussed Weak BCK or BCH-algebra.
E-Learning Siklus Akuntansi Perusahaan Jasa Untuk Siswa SMA

The aim of this community service is to provide an interesting and easily understood accounting treatment of service companies to senior high school students using e-learning management system. A need of proper platform for students becomes essential to be taken into account since their characteristics are well known as modern learner. Youtube is a social media platform with the highest level of its usage (based on websindo 2020 data). The method applied in this community service is by creating tutorial videos related to service company’s accounting subjects. This tutorials convey information about service company’s accounting cycles consist of journals, ledger, trial balance, and adjusting journal entry. The videos will be presented by the school to the students of SMAK St. Albertus Malang. The result of this community service is feedback from the school stating that the e-learning process of service company’s accounting cycles is very effective since its delivery is detailed but packaged in a simple way so that make it easier to understand. The suggestion given by the partner is to develop video visualizations in the form of animation or other more interesting visuals.
MENENTUKAN LUAS OBJEK CITRA DENGAN TEKNIK SEGMENTASI BERDASARKAN WARNA PADA RUANG WARNA HSV

The color image segmentation technique is one of many approaches used to extract information from an image. In this study, the calculation of the image object area was carried out using the color image segmentation technique in HSV color space. There are three objects that the area has calculated those are triangle, square, and circle. The object area calculated by multiply the image background original area with the proportion difference between the total number of object pixels and the sum of background pixels. The threshold value for the HSV filter was determined using two different approaches, which are the trial-and-error method and the multi-otsu thresholding method. The result of this study shows that the object area calculation system works pretty well. Using the trial-and-error method, the difference percentage mean of all objects is 1,35%, meanwhile, using the multi-otsu thresholding method is 1,31%.Keywords: Color segmentation, hsv, multi-otsu, object area.
Improving Data Efficiency on Histopathology Image Analysis Using Deep Learning

Author(s): Li, Wenyuan | Advisor(s): Pottie, Gregory; Arnold, Corey W | Abstract: Ever since the advent of Alexnet in the ImageNet challenge in 2012, the medical image analysis community has taken notice of deep learning techniques and made the transition from systems that use handcrafted features to systems that learn feature from the data gradually. Histopathology images have been widely used to detect and diagnose a variety of cancers. With the growing availability of large scale gigapixel whole-slide images (WSI) of tissue specimen, digital pathology has become a very popular application area for deep learning techniques. Nevertheless, challenges exist in current computer-aided histopathology image analysis. Perhaps the biggest challenge is the insufficiency of annotated data. Deep learning requires extremely abundant training data to achieve good performance. However, only pathologists, who have been trained for years, can annotate the histopathology image accurately. Therefore, labeling histopathology images is both expensive and labor-intensive. The scarcity of the annotation can also be found at different scales. For example, to do a semantic segmentation task, it requires the network to have annotations at ``pixel-wise'' level; by tiling WSIs into different patches, patch-level labels are needed to provide accurate predictions. But in reality, most labels of WSIs are at case-level (\eg final diagnosis) at most.This dissertation attempts to improve data efficiency on histopathology image analysis. We first start with a novel fully-supervised segmentation model for Gleason grading of prostate cancer. This method adopts two branches, an EpithelialNetwork Head (EHN) for detecting epithelial cells, and a Grading Network Head (GNH) for detecting, segmenting, and classifying the cancerous regions. Then we present a series of studies on semi-supervised learning, where we can take leverage of unannotated data. We focus on methods using generative adversarial networks (GANs). To this end, we demonstrate a pyramid GAN structure for high-resolution large-scale histopathology image generation and segmentation on both fully-supervised and semi-supervised scenarios. Finally, we present an active learning framework that is able to reduce the annotations required from the expert and handle noisy labels simultaneously. Extensive experiments and results have proved the eﬀectiveness of these methods, paving the way to optimize and improve the eﬀectiveness of data usage in histopathology image analysis.
“A new cartography of the world”: Of participatory sense-making within ecological sound art and interdisciplinary collaboration

This presentation discusses two examples of participatory sense-making, that fall within the ecological-enactive trajectory of my artistic research. The first work is Tapeshavet, a collaboration between composer Anders Hultqvist, poet Gunnar D. Hansson and ecological sound artist Stefan Ostersjo and I, with the first output premiered at GAS festival in Sweden in autumn 2018 and a larger work set for premiere in 2019-20. The second is The cartographer; a staged performance created with actress Liv Kaastrup Vesterskov at Lund University‘s Inter Arts Center, Sweden. The work falls under my PhD research which draws on exploration of agency, and the dynamics between the practices of performer, composer and curator in the field of contemporary music and sound art. Through various case studies I look at how an ecological-enactive perspective on musical practice can challenge current understandings of the aforementioned agencies and what artistic methods can be employed to explore a fluid understanding of these roles. The collaborations draw on field-recording as a methodological tool, as well as activation as a method. I have developed the latter since winter 2016-2017, through which “a musician's multi-modal listening is employed in a fleshy listening” (Stefansdottir & Ostersjo, forthcoming). Through analysis this presentation is set to unpack the processes of such participatory sense-making. Based on this I put forth and argue for the concept of multi-entity performance (Rawlings 2019, Stefansdottir 2019) as a technique as well as analytical and conceptual stance. (Less)
Data curation as collective action during COVID-19

In this commentary, the authors, an international group data curation researchers and educators, reflect on some of the challenges and opportunities for data curation in the wake of the COVID-19 pandemic. We focus on some topics of particular interest to the information science community: data infrastructures for scholarly communication and research, the politicization of data curation and visualization for public-facing “dashboards,” and human subjects research and policies. We conclude with some areas of opportunity and need, including broader and richer data curation education in the information schools, the establishment of better data management policy implementations by research funders, the award of formal academic credit for data curation activities and data sharing, and engagement in cooperative action around data ethics and security.
A Research Proposal: “Learning Processes And Disciplinary Overflows”

The current complex society is characterized by various theories and points of view, no longer elaborated through a single human mind, but through the interweaving of flows of information and integrated artificial intelligences, in which different disciplinary fields are interconnected for the construction of the knowledge and for the of the free man. Every single man represents a resource. Therefore, everyone can make a cultural contribution by allowing all other people to discuss and address global issues that affect us on a daily basis. Through the following research and intercultural dialogue; thanks to the study material included in the Pegaso platform and to the advice offered by the teachers, a group of six PhD students on the course Law, education, development (II edition) intends to tell the first year of the Ph.D., mutually engaging on the basis of respect and mutual understanding. The human being, cooperating with various intelligences, becomes capable of proceeding responsibly, overcoming individualism and meeting the other, finding new balances to adapt to changes, to be able to build links for participatory democracy and for a humanistic and scientific culture
The Promises and Perils of Central Bank Digital Currencies

This paper analyzes the proposal that central banks should issue digital currencies (CBDC) to provide a public alternative to private digital accounts and cryptocurrencies. We build on some recent themes in political economy research to give a broader and more balanced perspective than the existing literature, highlighting both the promises and perils of CBDC. We argue that, on the one hand, the present state of the private financial sector is problematic and regulators should seek to tackle the issues of financial power, financial instability and lack of adequate monetary policy options. On the other hand, implementing CBDC comes with risks of its own, such as that of creating a “Frankenstein scenario” where too much power is given to unelected technocrats. Our tentative conclusion is therefore that CBDC should be seen as a second-best option, while the primary focus of policy makers should be on the possibility of financial re-regulation.
영어 의문사 의문문의 문미초점에 대한 한국 대학생들의 인식에 관한 연구

The purpose of this study was to investigate the university students’ perception of end-focus in English Wh-questions. The participants in this study consisted of 178 university students. These students were categorized into two groups according to their TOEIC scores: one group with the scores above 500 and the other group with the scores below 500. The participants were given Wh-questions and asked to select a more appropriate answer between two possible choices. The main findings are summarized as follows: First, the students’ scores from the test were considerably low. This may be because they are not aware of the principle of end-focus and thus, they don’t appreciate the difference in meaning between the two answers in the context.; and second, there was no statistical difference between their ability to perceive end-focus and their TOEIC scores. The findings suggest that the principle of end-focus should be integrated with teaching grammar regardless of students' English proficiency levels in order to communicate successfully.
German Science Index

German Science Index Index journals. It is aiming at rapid evaluation and Indexing of all local and international journals.German Science Index provides following services with Frequency of 12-Indexing round per year:Evaluation and Indexing of journalsEstimation quality of journals based on comprehensive defined standards.journal panel for journal to monitor and control quality of their journals.
초등학교 과학 교과용 도서에서 나타난 과학 글쓰기 과제 분석 : 2007, 2009, 2015 개정 교육과정을 중심으로

The purpose of this study was to analyze the science writing tasks in elementary science textbooks and workbooks using the presented form and the writing components analysis framework. For this study, the science writing tasks in the 2007, 2009 and 2015 revised elementary science textbooks and workbooks were analyzed. The results of this study are as follows. As a result of analyzing the presented form of science writing tasks, the number of books for science writing tasks was reduced and the tasks were changed to unclear form as the curriculum was revised from the 2007 to 2015. And the science writing tasks in the 2009 revised 5th∼6th grades group were presented as writing and drawing, and they appeared as the most desirable form. As a result of analyzing science writing tasks using the writing components analysis framework, there was a difference according to the curricula and the grades groups, but they tended to be focused on some sub-factors. However, the science writing tasks reflecting the most diverse sub-factors were presented in the 2007 revised 5th∼6th grades group.
Pembuatan Konsep Aplikasi E-Pro Berbasis WEB Pengolah Data Prosedur

This final report discusses the activities of carrying out an internship at PT. Pelabuhan Indonesia III (Persero) Regional Central Java. The practice of this apprenticeship program is a manifestation of the Ministry of SOEs being present for the country which aims to provide an overview of the world of work for students by going directly to the field so that they are easy to compete and adapt to the world of work globally in the future. In addition, it aims to determine the work patterns of employees at PT. Pelabuhan Indonesia III (Persero) Regional Central Java so that it can be implemented properly in the future. This apprenticeship was carried out for 6 months, starting from 31 July 2019 to 4 February 2020. The method used in this research was the system development method used, namely the System Development Life Cycle (SDLC) with the Waterfall method. The Waterfall method consists of five stages, namely, system2analysis, system design, system implementation, system testing, and system maintenance. In this report, the authors review the concept of a web-based procedure data management application at Pelindo III, Central Java, which is still manually processing procedure data so that there are difficulties in finding the data, especially the quality and risk management division. The result of the internship practice carried out is that students get valuable knowledge and experience from this activity, even in student life they experience significant changes in their lifestyle. In addition to this, it is also known that the application of information technology needs to be done to support the existing processes in the company, the quality management risk of Pelindo III Central Java region previously still processed data procedures manually.
Visualizing Sedimentary Condensation , Dilution, and Erosion using Shiny Apps

&amp;lt;p&amp;gt;Fossil accumulations can be generated by (1) high input of organism remains or (2) by low sedimentation rates, reducing the volume of sediment between individual fossils. This creates a paradox, in which shell beds may form in environments with low biomass production. This effect of sedimentary condensation on fossil abundance is easy to understand, however, its implications are hard to grasp and visualize.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We present the shellbed condensator ( https://stratigraphicpaleobiology.shinyapps.io/shellbed_condensator/ ), a web application that allows to interactively visualize and animate the effects of sedimentary condensation and erosion on fossil abundance and proxies recorded by the sedimentary record. It is an adaptation of the seminal computer simulation by Kidwell (1985). The application is written in R Software and uses the shiny package for the construction of the web interface and the DAIME package for the sedimentological model (Hohmann, 2021). It allows creating stratigraphic expressions and age models for combinations of fossil input and sedimentation rates defined by the user.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To assess the utility of shiny apps for teaching purposes, we examine student understanding of sedimentary condensation after unsupervised studying and after unsupervised usage of the app. Due to their strong visual and interactive components, shiny apps are a powerful and versatile tool for science communication, teaching, self-study, the visualization of large datasets, and the promotion of scientific findings.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
Differential Mean Deviation Factor based Contrast Enhancement Technique Using DWT-SVD for Non-Contrast CT Scan Images

In proper clinical analysis and diagnosis of a patient, accurate visual representation of CT scan images plays a vital role. Due to technical constraints and poor imaging device, sometimes low contrast images can be obtained. To interpret and analyzed the minute details present in the image, the image needs to be enhanced appropriately. This proposed novel low contrast enhancement technique rely on the singular value decomposition (SVD) with discrete wavelet transform (DWT) for improving the minute visual information present in a image as well as retaining the mean brightness. By scaling the values of the singular matrix properly these existing SVD based techniques enhances the contrast of image but the contrast in case of the original CT scan image is too low and hinder proper enhancement result in poor analysis. In this suggested algorithm, the proposed differential mean-deviation factor properly equalized the singular matrix. Introduction of this parameter adjusted the singular value matrix in such a way that proper contrast enhancement is attained. Results of the simulation also reveal that the suggested approach also balanced the brightness of the picture more reliably and increases the contrast comparatively with negligible visual artifacts. It outperforms traditional methodologies of equalization of images such as GHE (Global histogram equalization) and LHE (local histogram equalization). Our proposed algorithm is evaluated and compared using different CT scan images and different algorithms based on SVD and DWT but the inclusion of our proposed factor mean deviation provides a niche over the existing ones in terms of subjective and objective analysis.
Optimalisasi Kualitas Hasil Belajar dan Aktivitas Belajar Matematika Melalui Implementasi  Model Cooperatif Learning Bersetting Teams Games Tournaments (TGT) Berbasis LKS

This study aims to determine the optimization of the cooperative learning model with LKS-based Teams Games Tournaments to increase learning activities and mathematics learning outcomes of class X BBU 1 students of SMA Surya Wisata Kediri. This type of research is a Classroom Action Research (PTK) using the Research Design Model of Kemmis and Taggart. Subjects in this study were 40 students of class X BBU 1 SMA Surya Wisata Kediri. The data collection technique was carried out by means of observation and learning outcomes tests which were carried out in two cycles. Research instruments in the form of observation sheets and learning outcomes tests. Data analysis was performed by qualitative descriptive analysis. The results showed that the Optimization of Mathematics Learning through the Implementation of Cooperative Learning Model with Teams Games Tournaments (TGT) based on LKS can increase the activity and learning outcomes of students of class X BBU 1 SMA Surya Wisata Kediri. This is evident from the average value of student learning activities on the initial reflection 23.72 is in the less active category. Then there was an increase in cycle 1 with an average of 27.28 learning activities in the active category, and in the second cycle the average learning activity was 34.25 in the active category. While student learning outcomes also increased where individual completeness increased from 12 people (30%) in the initial reflection to 23 people (57.5%) in the first cycle and from 23 people (57.5%) in the first cycle to 35 people ( 87.5%) in cycle II. So based on the results of the research it can be concluded that the optimization of mathematics learning through the implementation of the cooperative learning model with the setting of Teams Games Tournaments (TGT) based on LKS can increase the activity and learning outcomes of students of class X BBU 1 SMA Surya Wisata Kediri.
KOCH C. THE FEELING OF LIFE ITSELF : WHY CONSCIOUSNESS IS WIDESPREAD, BUT CAN’T BE COMPUTED. - CAMBRIDGE, MASSACHUSETTS: L., ENGLAND : THE MIT PRESS, 2019. - 280 P

In his new book «The Feeling of Life Itself: Why Consciousness Is Widespread, But Can’t Be Computed» C. Koch develops the account of the phenomenon of consciousness from the standpoint of the theory of integrated information proposed by the Italian neuroscientist G. Tononi. The starting point of this theory is the attempt to single out the most important properties of the consciousness itself and, on this basis, to determine what kind of physical systems are capable of having experience. According to the proponents of the theory of integrated information, the key properties of experience include its intrinsic existence, its composition, information, integration, and exclusion. From the statements describing the properties of consciousness, called axioms, the theory derives the statements about the properties of the physical substrate of experience, which are called postulates. The theory of integrated information claims to develop a conceptual apparatus for an exact quantitative assessment of the level of possible experience in any system. This theory formulates several interesting predictions, including the possibility of merging many individual experiences into a single experience, if with the help of some future technology an information bridge is established between the substrates that implement them, and also that consciousness cannot be obtained as a result of simulation on a digital computer.
A History of Presence.

The article explores the history of immersive media, connecting those technologies to today's endeavors in Virtual Reality (VR) and Augmented Reality (AR). The author suggests these experiences are trying to offer the of presence. Past devices discussed include the stereograph, magic lanterns, stereoscopes and panoramic paintings. The physicist and artist Lloyd Cross, who had his first exhibition of holograms at the Cranbrook Academy of Art in 1969 and is known for emancipating holography from the military industrial complex, is also discussed.
그래프 데이터베이스 기반 이더리움 자금세탁 탐지 전략 제안

Due to the anonymity of cyrptocurrencies, a new method of money laundering that hides the source of illegal funds has emerged by utilizing cyrptocurrencies. In addition, there are cases such as exchange hacks or ICO frauds in which cryptocurrencies themselves are dirty money. These illegal actions are criticized as problems of cryptocurrencies, and these problems must be tackled for the sake of development and commercialization of cryptocurrencies. Although Ethereum is a public blockchain that is completely open anyone, it does not provide the necessary tools such as query language or client tools needed, therefore requiring further methods to process and utilize data efficiently. This paper aims to explore the money laundering that is happening in Ethereum. In addition, it suggests the ways to sort Ethereum accounts suspected of being used for money laundering and the strategy to implement them using Graph Database.