Reviewerly/exHarmony huggingface dataset:
Exploring Genetic-histologic Relationships in Breast Cancer

The advent of digital pathology presents opportunities for computer vision for fast, accurate, and objective solutions for histopathological images and aid in knowledge discovery. This work uses deep learning to predict genomic biomarkers - TP53 mutation, PIK3CA mutation, ER status, PR status, HER2 status, and intrinsic subtypes, from breast cancer histopathology images. Furthermore, we attempt to understand the underlying morphology as to how these genomic biomarkers manifest in images. Since gene sequencing is expensive, not always available, or even feasible, predicting these biomarkers from images would help in diagnosis, prognosis, and effective treatment planning. We outperform the existing works with a minimum improvement of 0.02 and a maximum of 0.13 AUROC scores across all tasks. We also gain insights that can serve as hypotheses for further experimentations, including the presence of lymphocytes and karyorrhexis. Moreover, our fully automated workflow can be extended to other tasks across other cancer subtypes.
Simplification of the Calculation of the Channel Matrix for AMPM Coherent-state Signals

The square-root measurement (SRM) is regarded as the optimum quantum measurement for symmetric signals and quasi-optimum measurements for any quantum signals. Therefore, deriving formulae for the channel matrix by using SRM is crucial in developing a theory of quantum communications. To date, formulae for these matrices are known for symmetric and group-covariant signals. However, there are important non-symmetric signals such as ASK, AMPM, and QAM signals, etc. In this paper, we demonstrate that the calculation of the channel matrix for 4m-ary AMPM signals can be simplified by using their partial symmetry.
Covid-19: Philosophical challenges of a pandemic world

In the XXst century, current crisis, product of the COVID-19, overturns the foundations of the global community, bringing political, social, economic, labor, and psychological repercussions, among others Its approach from philosophy is of vital importance, since, beyond the clinical approaches that can realize it, the connection of philosophy with the human, with the duty to be and with the being itself of man, makes it is essential to think and rethink the need to philosophize in a pandemic and post-pandemic world For this reason, from a hermeneutic-documentary approach, some conceptual clarifications are made that, from the perspective of philosophy, help to dimension this new crisis, highlighting the fragility on which life and civilization have developed © 2021, Universidad del Zulia All rights reserved
BIBFRAME Readiness: A Canadian Perspective

In 2018 the University of Alberta Library (UAL) joined the LD4P2 Cohort as a part of a wider strategy for linked data and BIBFRAME implementation. During the same year the Canadian BIBFRAME Readiness Task Force (CBRTF) was formed to produce documentation that outlines the impact of migrating from MARC to BIBFRAME on libraries in Canada; to assess the understanding of and readiness for BIBFRAME transition in libraries in Canada; and to make recommendations for how the Canadian Federation of Library Associations / Federation canadienne des associations de bibliotheques (CFLA-FCAB), Federation des milieux documentaires (FMD), and Library and Archives Canada can support Canadian libraries’ transition to BIBFRAME. In this session, UAL’s experience and successes working towards BIBFRAME implementation will be juxtaposed to the findings of the CBRTF survey that few libraries in Canada are fully prepared to transition from MARC to BIBFRAME in the near future. Through this juxtaposition we will examine the current state of BIBFRAME readiness in Canada and outline CBRTF recommendations for a shared path forward.
LibGuides: Library Information for History Graduate Students: Scholarly Communications Office and Emory Center for Digital Scholarship

This guide provides an overview of the library resources and remote services available for our graduate students.
Sistem Pengarsipan BPKB Kendaraan Bermotor Pada Kantor Unit Pelaksana Teknis Badan Pengelola Pajak Retribusi Daerah Sumatra Utara Pematangsiantar

The North Sumatra Province (BPPRDSU) Regional Tax and Retribution Management Agency, Pematangsiantar City, is an office engaged in taxation and vehicle mutation affairs. With the support of a computerized system, the workings of a previously manual system can change the way of working that is more efficient, effective and efficient and guaranteed quality and quality of work procedures. With the development of better modern technology facilities, a more productive work system environment will be created. To help provide an alternative to the above problems, a computerized system is needed that will help the North Sumatra Province Pematangsiantar City Tax and Retribution Management Agency in the filing of the BPKB for Motorized Vehicles which is expected to provide the best solution to the problem, so that data search and storage more effective and efficient.
CRITICAL TEXTS OF ART JOURNALS AS A TOOL FOR SOLVING THE PROBLEMS OF RELATIONSHIP OF THE VIEWER AND THE WORK OF FINE ARTS

The object of this scientific research is art criticism in art magazines, the subject is the text of art criticism as a tool for solving problems of the relationship between a work of art and the viewer. The aim is to study journal art criticism as a tool for solving problems of the relationship between a work of art and the viewer. The analysis of the concepts of "art criticism" and "critical texts about art" is given in order to understand the essential features of art criticism and the specifics of its texts. The conceptual basis for the study was the key provisions of the theory of reflection by G.V.F. Hegel, the basic principles of the synthetic theory of the ideal D.V. Pivovarov and the concept of ideal formation, the main provisions of the theory of fine art by V.I. Zhukovsky and N.P. Koptseva.
DMNAS: Differentiable Multi-modal Neural Architecture Search

This paper proposes a Neural Architecture Search (NAS) method for multimodal sequential data using a gradient-based neural architecture search method named Differentiable Neural Architecture Search (DARTS). Because Deep Neural Networks (DNNs) for multimodal data require task-specific network architecture, there is a high need for NAS for them to reduce the labor of architecture design. Experimental results using an emotion recognition dataset containing sequential data showed that the proposed method succeeded in automatically designing a network architecture with competitive performance to manually designed networks.
Development of Human Resources in 2050

This article reports the discussion about the ideal development of human resources of mechanical engineering in 2050 performed by the technical roadmap committee of JSME in 2019. It aims at clarifying the required role of mechanical engineers and their social status in the future. The discussion leads to six ideal types of mechanical engineers that will be required in 2050. The scenarios which fill the gap between the current situation and the ideal future in terms of educational program, organization, social system and personnel evaluation system.
The Use of Web 2.0 Tools among English Language Instructors of Higher Learning Institutions in Sabah, Malaysia

The Use of Web 2.0 Tools among English Language Instructors of Higher Learning Institutions in Sabah, Malaysia
MANAGEMENT AND INNOVATION OF PERSONAL DEVELOPMENT OF TEACHERS IN CHINA’S EDUCATION AND TRAINING INDUSTRY

After years of development, the number of education and training institutions has decreased but the market size has continued to increase. The reason is the rise of online education. The development trend of combining online and offline education needs to innovate the personal development of teachers. This paper studies the development trend of the education and training industry, draws inspiration from the development trend for the personal development of teachers, and builds a personal development model for teachers based on the iceberg model. It is intended to provide innovative suggestions for the development of teachers in the education and training industry.
한국어 음성학 응용 연구의 성과와 전망 - 외국어로서의 한국어 발음 교육과 발음 습득 연구를 중심으로 -

This study aims to see the achievements in the field of Korean pronunciation education and acquisition of Korean pronunciation as a foreign language, while maintaining the viewpoint of applied research in Korean phonetics, and to see future improvement or research directions.Mainly, researches related to the education and acquisition of Korean monophthong and consonants were examined. Regarding vowels, how the phonetic similarity was established between Korean and foreign learners' mother tongues was examined through examples of Korean and Japanese, and Korean and Chinese. Regarding consonants, discussions mainly related to obstruents, application to actual pronunciation education of stop sounds was examined, and studies related to sibilant sound and fricative sound that was briefly dealt with in previous discussions were reviewed.The acoustic approach and analysis method greatly helped in the precision and systematization of Korean pronunciation education and acquisition research, and acoustic experiments, analysis, and discussion are still needed. However, when it is done with the judgment of perceptual similarity, it will be possible to show the pronunciation acquisition process and pattern of Korean learners more clearly, and it will be implemented as an educational method applicable in the field of Korean education.In the study of Korean pronunciation education and pronunciation acquisition, there are quite a lot of studies by phonetic experiments. However, in-depth discussion or meta-analysis has not been actively conducted on the various experimental methods and analysis results performed in these studies. In the future, in order for Korean pronunciation research to develop without relying on foreign theories, such discussions will need to become more active.
Classical (Co)Recursion: Programming.

Our aim here is to illustrate how the benefits of structural corecursion can be found in a broader swath of the programming landscape than previously thought. Beginning from a tutorial on structural corecursion in the total, pure functional language Agda, we show how these same ideas are mapped to familiar concepts in a variety of different languages. We show how corecursion can be done in strict functional languages like Scheme, and even escapes the functional paradigm entirely, showing up in the natural expression of common object-oriented features found in languages like Python and Java. Opening up structural corecursion to a much wider selection of languages and paradigms -- and therefore, also to a much larger audience of programmers -- lets us also ask how corecursion interacts with computational effects. Of note, we demonstrate that combining structural corecursion with effects can increase its expressive power. We show a classical version of corecursion -- using first-class control made possible by Scheme's classical call/cc -- that enables us to write some new stream-processing algorithms that aren't possible in effect-free languages.
Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Data.

The random walker method for image segmentation is a popular tool for semi-automatic image segmentation, especially in the biomedical field. However, its linear asymptotic run time and memory requirements make application to 3D datasets of increasing sizes impractical. We propose a hierarchical framework that, to the best of our knowledge, is the first attempt to overcome these restrictions for the random walker algorithm and achieves sublinear run time and constant memory complexity. The method is evaluated on synthetic data and real data from current biomedical research, where high segmentation quality is quantitatively confirmed and visually observed, respectively. The incremental (i.e., interaction update) run time is demonstrated to be in seconds on a standard PC even for volumes of hundreds of Gigabytes in size. An implementation of the presented method is publicly available in version 5.2 of the widely used volume rendering and processing software Voreen (this https URL).
Towards a Typology of Linguistic and Stylistic Errors in Scientific Abstracts Written by Low-proficiency Doctoral Students in France

To date, few studies have attempted to formulate typologies of errors by non-native speakers (NNS) in English scientific writing. In this study of 123 doctoral dissertation abstracts written by doctoral students in France, we present a tentative typology of frequent errors that covers issues with general grammar, expert grammar and style. In order to specifically ascertain the errors made by students who experience very significant difficulties, the 123 items of our corpus were chosen after an initial review of 1018 abstracts because they demonstrated low linguistic and stylistic proficiency. The typology of errors was sought in support of an error identification exercise in the Scientific Writing Assessment Program (SWAP), an English language certification recently developed at ENS Paris-Saclay.1 Although some disciplinary variation was seen in the distribution of errors, a convergence towards six major error types (determiners, syntax, tense choice, compound phrases, collocations and lack of clarity) was observed (62.96 % of all errors in geoscience, and 83.89 % in mechanical engineering), suggesting that efforts to mitigate errors should primarily focus on these key issues. Another key finding was that, in contrast with previous studies, traditional grammar issues did not represent the bulk of overall errors (52.78 % in geoscience and only 37.32 % in mechanical engineering), while the overall frequency of stylistic errors was high in both corpora (30.25 % in geoscience, 46.05 % in mechanical engineering), showing the importance of errors in relation to genre-specific style. We propose a metric of error frequency, the Comprehensive Error Ratio or CER, to assess the overall quality of abstracts written by non-native speakers of English. In conclusion, we suggest that any typology of errors in ESP/EAP contexts results from a trade-off between seeking descriptive specificity and achieving the specific purposes for which a typology is developed.
Sovereign digital currencies: Reshaping the design of money and payments systems

This paper focuses on how technology might reshape payments going forward. It considers the policy issues and choices associated with crypto-currencies, stablecoins and sovereign digital currencies and emphasises that there is no single model for sovereign digital currency design. While Bitcoin and its progenies could be safely ignored by regulators, Facebook’s proposal for Libra, a global stablecoin, brought an immediate and potent response from regulators globally. Any proposal by the private sector to move into the creation of currency — the traditional preserve of sovereigns — was always likely to trigger such a regulatory response, as well as the launch of sovereign digital currencies by other major central banks. While China has moved first, dozens of other countries are now investigating their own central bank digital currencies or other forms of sovereign digital currency. This paper argues that central banks should first focus not on rolling out novel new forms of sovereign digital currencies, but rather on transforming their payment systems. In time, domestic money and payment systems are expected to evolve so that central banks cooperate with (new and old) private entities to launch digital currencies that better underpin monetary and payment systems at the domestic, regional and international levels. © Henry Stewart Publications, 1750-1806.
LibGuides: Instructional - Accessing e-Resources: Home

This guide describes how to use OpenAthens, a single sign-on solution for off-campus access to the Booher Library's electronic resources.
Defining Developing Countries In Higher Education Context

Higher education particularly is undergoing a paradigmatic shift while embracing digitization. This paper presents an overview of the issues in higher education in developing countries. By taking a close look at the categorization and stratification of countries, exploring developing countries' narrative and their current landscape in the world economy. This process reviews the socio-economic, market-oriented, and digitization related parameters associated with higher education in developing countries. The paper lists some of the critical definitions given for understanding developing countries and highlights some key challenges that need to be attended in due time. The concluding section presents discussions and a possible way forward.
Problems and prospects of practice-oriented training of future teachers in universities of the Republic of Kazakhstan

This article reveals the main problems of implementation of practice-oriented education in Kazakhstan universities in the preparation of future teachers, and offers possible ways to solve them. On the example of L. N. Gumilyov ENU, educational programs for practical orientation in the pedagogical areas of training “Social pedagogy and self-knowledge”, “Pedagogy and psychology”, “Foreign language: two foreign languages” are analyzed. The authors concluded that in order to train qualified personnel and create favorable pedagogical conditions at the university, it is necessary to increase the number of credits for practical activities, check educational programs for the ratio and distribution of the volume of theoretical and practical material, using of innovative teaching methods on the example of actual educational material, apply a competency-based approach and study the needs of the labor market.
RANCANG BANGUN APLIKASI WEB UNTUK MONITORING DOKUMEN HUKUM PADA STT PLN JAKARTA

Sekolah Tinggi Teknik PLN (STT PLN) is a tertiary institution in Indonesia under the auspices of the education and welfare of PT. PLN (Persero). In its expansion, STT PLN cooperated with many parties to make rapid developments for advancement in employment opportunities and the quality of education. In conducting cooperation, STT PLN has a Legal Document consisting of a Memorandum of Understanding and a Cooperation Agreement that must be monitored properly. Therefore, a breakthrough was made that can help monitor the course of cooperation well, namely creating a web application for monitoring legal documents that can help the STT PLN more easily monitor the progress of a collaboration report if it has been implemented or not implemented. Besides that, it can also assist in notifying the validity of a legal document, so there are no mistakes in the extension and termination of cooperation with related parties. In this research the researcher used the Software Development Life Cycle (SDLC) in developing software with the waterfall method. Software design uses UML (Unified Modeling Language). In the other hand database design uses MySQL and coding uses the PHP programming language. Based on the results of this research collaborative monitoring application research assists to monitor legal documents in collaboration with any party due to the structured cooperation activities and the legal period of legal control.
Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions

Threat detection of weapons and aggressive behavior from live video can be used for rapid detection and prevention of potentially deadly incidents such as terrorism, general criminal offences, or even domestic violence. One way for achieving this is through the use of artificial intelligence and, in particular, machine learning for image analysis. In this paper we conduct a comparison between a traditional monolithic end-to-end deep learning model and a previously proposed model based on an ensemble of simpler neural networks detecting fire-weapons via semantic segmentation. We evaluated both models from different points of view, including accuracy, computational and data complexity, flexibility and reliability. Our results show that a semantic segmentation model provides considerable amount of flexibility and resilience in the low data environment compared to classical deep model models, although its configuration and tuning presents a challenge in achieving the same levels of accuracy as an end-to-end model.
Image Processing in Python with Montage

he Montage image mosaic engine has found wide applicability in astronomy re- search, integration into processing environments, and is an examplar application for the development of advanced cyber-infrastructure. It is written in C to provide performance and portability. Linking C/C++ libraries to the Python kernel at run time as binary ex- tensions allows them to run under Python at compiled speeds and enables users to take advantage of all the functionality in Python. We have built Python binary extensions of the 59 ANSI-C modules that make up version 5 of the Montage toolkit. This has in- volved a turning the code into a C library, with driver code fully separated to reproduce the calling sequence of the command-line tools; and then adding Python and C linkage code with the Cython library, which acts as a bridge between general C libraries and the Python interface. We will demonstrate how to use these Python binary extensions to perform im- age processing, including reprojecting and resampling images, rectifying background emission to a common level, creation of image mosaics that preserve the calibration and astrometric fidelity of the input images, creating visualizations with an adaptive stretch algorithm, processing HEALPix images, and analyzing and managing image metadata.
Anonymous chaotic-based identity authentication protocol in IoT

With the rapid development of internet of things (IoT), the credible identity authentications among the connected devices are widely investigated by researchers and institutes. Traditional identity authentication protocols issues exist in terms of security, complexity and authentication efficiency. To address these problems, this work introduces chaotic mapping technique into identity authentication. Besides, anonymity and interactivity are also considered to realise a high-efficient and secure IoT device authentication. Firstly, Kent chaotic mapping technique is used to generate the chaotic sequence as the authentication key, after that, the interactive authentication is established among the server, reader and tag. The authentication information is encrypted in the transmitted channel. The identity information is anonymous in the proposed protocol. Finally, the security, complexity and efficiency are analysed and discussed. The comparison results show that the proposed protocol is superior to other protocols.