Reviewerly/exHarmony huggingface dataset:
ANALISIS STILISTIKA DAN NILAI PENDIDIKAN KARAKTER KUMPULAN PUISI PERIHAL GENDIS SERTA PEMANFAATANNYA DALAM PEMBELAJARAN SASTRA

&lt;em&gt;This research study aims to describe and explain (1) the diction of poems collection entitled Perihal Gendis by Sapardi Djoko Damono; (2) the figurative language of poems collection entitled Perihal Gendis by Sapardi Djoko Damono; (3) the imagery of poems collection entitled Perihal Gendis by Sapardi Djoko Damono; (4) character education values of poems collection entitled Perihal Gendis by Sapardi Djoko Damono; and (5) the stylistic relevance of poems collection entitled Perihal Gendis by Sapardi Djoko Damono by learning to write poems in Senior High School.This research used a qualitative descpriptive method literature with content analysis. The source of data of this study is poems book and collection entittled Perihal Gendis by Sapardi Djoko Damono published by Gramedia Pustaka Utama. This technique is content analysis method. The data validation used in this study is triangulation source of data and theory. The results of this study as follows : (1) the connotative meanings of diction are more dominant than denotative; (2) the figurative languages are found out that the top three most dominant are Anaphora then Personification. The simbolik; (3) the use of varied imageries are found out that the dominant imagery is motion image; (4) The most dominant value of character education is curiosity; (5) This poems book and collection can be evaluated to poetry writing materials in Senior High School.&lt;/em&gt;
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees

Graph representation learning is a ubiquitous task in machine learning where the goal is to embed each vertex into a low-dimensional vector space. We consider the bipartite graph and formalize its representation learning problem as a statistical estimation problem of parameters in a semiparametric exponential family distribution. The bipartite graph is assumed to be generated by a semiparametric exponential family distribution, whose parametric component is given by the proximity of outputs of two one-layer neural networks, while nonparametric (nuisance) component is the base measure. Neural networks take high-dimensional features as inputs and output embedding vectors. In this setting, the representation learning problem is equivalent to recovering the weight matrices. The main challenges of estimation arise from the nonlinearity of activation functions and the nonparametric nuisance component of the distribution. To overcome these challenges, we propose a pseudo-likelihood objective based on the rank-order decomposition technique and focus on its local geometry. We show that the proposed objective is strongly convex in a neighborhood around the ground truth, so that a gradient descent-based method achieves linear convergence rate. Moreover, we prove that the sample complexity of the problem is linear in dimensions (up to logarithmic factors), which is consistent with parametric Gaussian models. However, our estimator is robust to any model misspecification within the exponential family, which is validated in extensive experiments.
A Universal Application Programming Interface to Access and Reuse Linked Open Data

In this paper we present a Universal API in order to facilitate the access and reuse of Linked Open Data (LOD). Nowadays, it is difficult to explore heterogeneous data by structured query languages, especially for end users and developers unfamiliar with SPARQL and RDF. Our solution proposes a universal access to the LOD scenario through a common interface, which automatically generates SPARQL queries to access data from any dataset available online. Moreover, the results given by this Universal API are restructured and parsed to well-known formats easily understandable by the majority of developers, such as JSON or CSV. In order to easily use the Web API proposed, there is a Web interface which guides users to get the desired data, providing appropriate documentation to facilitate the search of relevant information. The main innovation of this approach is offering programmatic access to Linked Open Data through the automatic building of SPARQL queries without requiring any prior knowledge of the data and the Semantic Web environment.
LibGuides: Remote Resources for College Students: Historical Newspapers

Conducting research remotely? The New York Public Library has you covered. This guide includes resources to support your research 24/7 no matter where you are.
Using Electronic Simulator in Professionally Oriented Foreign-Language Education of Future Bachelors in the Field of Training “State and Municipal Administration”

The research objective includes theoretical justification of efficiency of using an electronic simulator while organizing students’ classroom and independent work on the disciplines “Foreign Language” and “Professional Foreign Language”. The article briefly describes its basic functions, identifies its structural components and reveals the pedagogical conditions that should be observed while working with this electronic resource. Scientific originality of the study lies in the fact that the author theoretically justifies efficiency of using an e-learning tool when developing foreign-language communicative competence of future bachelors in the field of training “State and Municipal Administration”. The research findings are as follows: the author presents successful experience of using an e-learning tool “electronic simulator” when teaching future bachelors in the field of training “38.03.04 State and Municipal Administration”.
We're calling for changes to the contact tracing programme for veterinary practices

Veterinary RecordVolume 186, Issue 18 p. 614-614 Update: COVID-19 We're calling for changes to the contact tracing programme for veterinary practices Daniella Dos Santos, Daniella Dos SantosSearch for more papers by this author Daniella Dos Santos, Daniella Dos SantosSearch for more papers by this author First published: 11 June 2020 https://doi.org/10.1136/vr.m2356Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume186, Issue18June 2020Pages 614-614 RelatedInformation
LibGuides: Open Educational Resources at CLC: Resources for Faculty

A guide to open educational resources at the College of Lake County Contains additional materials and websites on OER.
Investigation Of The Effect Of Individual Attitudes During The Application Of The Job Rotation Strategy At The General Directorate Of Traffic

This research aims to investigate the correlation between the components of individual attitudes and it is influences by the application of the job rotation strategy in the General Directorate of Traffic in Babil Governorate. A conceptual framework model designed based on the research questions and their hypotheses.  Research variables were classifieds into independent represented by the components of individual attitudes, namely: the cognitive, the behavioral, and the Environment attitudes, and the application of the job rotation strategy at “the General Directorate of Traffic” as a dependent variable. This study targets 12 different departments. Out of 261 individuals who were invites to participate, 96 individuals responded to in this study. The descriptive method was using to analyze the collected data. As, it’s have a variation of a quantitative and qualitative methods to prove the validity of hypotheses and the research purposes.  The results of this study found that all attitudes of the police staff who has responded to this questionnaire have a positive position towards implementing the job rotation strategy. They have confirmed several of the benefits obtained after applying the job rotation strategy such as developing their professional skills, increasing their knowledge, promotion, and improving the work style. For future researchers, this study proposes the requirement to adopt advanced studies that contribute to continuous improvement and support the implementation of the job rotation strategy in the organization.
Branch-Cooperative OSNet for Person Re-Identification

Multi-branch is extensively studied for learning rich feature representation for person re-identification (Re-ID). In this paper, we propose a branch-cooperative architecture over OSNet, termed BC-OSNet, for person Re-ID. By stacking four cooperative branches, namely, a global branch, a local branch, a relational branch and a contrastive branch, we obtain powerful feature representation for person Re-ID. Extensive experiments show that the proposed BC-OSNet achieves state-of-art performance on the three popular datasets, including Market-1501, DukeMTMC-reID and CUHK03. In particular, it achieves mAP of 84.0% and rank-1 accuracy of 87.1% on the CUHK03_labeled.
Machine Learning and Learning from Machines

Summary Deep learning has demonstrated tremendous success in a variety of application domains in the past few years, and with some new modalities of applications it continues to open new opportunities. We see applications of machine learning in our daily lives, stretching from familiar applications such as spam filters dating back to the 1990s to more advanced cases such as self-driving cars and the automation of medical imaging and diagnoses. It is not the intention of the authors to explain all these algorithms in detail here. Instead, the focus is on demonstrating an application of machine learning and the possibility of learning from machines in typical geoscience applications. In this example, we will demonstrate learnings from use cases such as facies classification, petrophysical log prediction, and fault interpretation. These applications are essential parts of various geoscience workflows, and although not too complex in theory, the machine learning approaches can certainly save time (and therefore money). While there is a lot of enthusiasm in implementing machine learning for various geoscience applications, there is also skepticism of “black box” applications and how to quality control (QC) the outcomes. There are various QC measures in data science that are implemented routinely. One robust approach is cross validation, which is mostly known by geoscientists as blind well QC for well-based applications. It is discussed here that such approaches can lead to the concept of “machine learning and learning from machines.” This concept is shown in the use cases mentioned earlier. The examples shown are selected so that the concept behind this paper can be demonstrated.
Disguising agents for transmitting Novel Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2): Mobile phone &amp; Paper currency

The world is facing the Corona Virus Disease-2019 (COVID-19) pandemic [1], which is also a highly communicable disease disseminating from droplet, contact, fecal-oral transmission along with transmission through fomites [2].While the frequent handwashing is recommended for preventing the transmission of SARS-CoV-2 [1], the causative agent of COVID-19, we might have unseen the importance of avoiding two prominent vectors of disease transmission: mobile phones and paper currency.According to a recent survey, the total number of mobile phone users worldwide is increasing continuously surpassing 4.8 billion (https://www.statista.com/statistics/274774/forecast-of-mobile-phone-users-worldwide/).These daily essential accessories can be a potential reservoir for SARS-CoV-2, as this virus is secreted in saliva, respiratory secretion and even sweat as well [2].Considering the threat, Apple, one of the top mobile manufacturer companies holding 22.4% market share in 2019 has already recommended disinfecting apple products with 70% alcohol wipe or clorox, which was previously not permitted to protect the phone's oleophobic (oil-repellant) and hydrophobic (water-repellent) coatings.While there has not been any scientific study yet on this regard, a myriad of microorganisms including nosocomial pathogens has already been reported from the surface of mobile phones [3].In a recent study, SARS-CoV-2 has been claimed to be viable and infectious in aerosols for hours (https://www.thehindu.com/sci-tech/health/how-long-does-sars-cov-2-staypotent/article31259761.ece).Other studies indicated that, SARS-CoV-2 can remain infectious on inanimate surfaces for up to nine days at room temperature [2].Considering these factors, the possibility of spreading COVID-19 from mobile phones of infected individuals was affirmed by various researcher and also stated that the virus can remain viable on smartphone screen up to 96 hours, if it's made of glass [4].Furthermore, paper currency is even more used daily object which changes hands numerous times a day and can act as potential vector of viral disease transmission.Previously, human influenza viruses were reported to be viable
Sample Privileged Access Management Use Cases

A threat actor thrives on the weakness of processes and the inability of an organization to establish best practices or even follow processes. To that end, privileged access management can stymie a threat actor, even if other security best practices are not being fully followed. Consider these top three problems almost every organization faces:
NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation

We propose a novel approach to weakly supervised semantic segmentation, which consists of three consecutive steps. The first two steps extract high-quality pseudo masks from image-level annotated data, which are then used to train a segmentation model on the third step. The presented approach also addresses two problems in the data: class imbalance and missing labels. Using only image-level annotations as supervision, our method is capable of segmenting various classes and complex objects. It achieves 37.34 mean IoU on the test set, placing 3rd at the LID Challenge in the task of weakly supervised semantic segmentation.
Library Guides: SU Libraries Riddle of the Month: What is the Riddle of the Month?

A guide to support the SU Libraries Riddle of the Month, as seen on Facebook, Twitter, and Instagram.
Conformal Prediction Intervals for Neural Networks Using Cross Validation

Neural networks are among the most powerful nonlinear models used to address supervised learning problems. Similar to most machine learning algorithms, neural networks produce point predictions and do not provide any prediction interval which includes an unobserved response value with a specified probability. In this paper, we proposed the $k$-fold prediction interval method to construct prediction intervals for neural networks based on $k$-fold cross validation. Simulation studies and analysis of 10 real datasets are used to compare the finite-sample properties of the prediction intervals produced by the proposed method and the split conformal (SC) method. The results suggest that the proposed method tends to produce narrower prediction intervals compared to the SC method while maintaining the same coverage probability. Our experimental results also reveal that the proposed $k$-fold prediction interval method produces effective prediction intervals and is especially advantageous relative to competing approaches when the number of training observations is limited.
Empowering Surabaya Creative Communities and Start-Ups through Human-Centered Design

Objective - Creative communities have the potential to increase a city’s social, economic, and touristic values. Despite their evident existence in Surabaya, these communities lack support in terms of public spaces and exhibition facilities with suitable designs that could accommodate their unique activities and communicate their aspirations to the public. This research-design project aims to prove the social and economic benefits of the human-centered design process by implementing various human-centered design approaches in the interior design of creative community spaces (CCS) so that they can accommodate the unique activities of existing creative communities and serve as assembly points for entrepreneurial or start-up groups. Methodology/Technique – Two teams of interior designers were tasked to design a community space and exhibition facility for two creative communities in Surabaya. A combined method based on different human-centered design approaches of applied ethnography, participatory design, co-design, contextual design, emphatic design, and lead user approach was conducted through six stages of design process consisting of: Empathize, Point of View, Define, Ideate, Prototype, and Test. Findings &amp; Novelty - The results of this research-design project are novel designs of community co-working spaces and exhibition facilities based on the unique human values, hobbies, and characteristics of the creative community that proved the social and economic benefits of human-centered design in the practice of interior design. Through the design of the creative community spaces yielded, interior and building designers can promote the activities and aspirations of existing creative communities such that they may, in turn, contribute to the development of Surabaya’s social, economic, and touristic values. Type of Paper: Review JEL Classification: M13, M19. Keywords: Human-Centered Design; Creative Community; Community Design; Surabaya; Creative Economy; Design. Reference to this paper should be made as follows: Thamrin, D; Wardani, L.K; Sitindjak, R.H.I. 2020. Empowering Surabaya Creative Communities and Start-ups through Human-centred Design, Global J. Bus. Soc. Sci. Review 8(2): 102 – 112. https://doi.org/10.35609/gjbssr.2020.8.2(4)
지방자치단체 무보직 6급 공무원에 대한 탐색적 연구: 업무특성, 역량, 제도인식을 중심으로

(Purpose) The purpose of this study is to examine the work characteristics, competence, and the level of system awareness of grade 6 civil servants without a position in local government.(Design/methodology/approach) The perception of grade 6 civil servants without a position, team leaders and team members of the S city was investigated with structured survey. The analysis utilizes frequency analysis and multi-recognition analysis.(Findings) The work characteristics of grade 6 civil servants without a position are generally acceptable and their work characteristics are heavily influenced by the service department or the work in charge. Their work competence is appropriate, that is to say they have relatively superior capabilities, but they are somewhat lacking in relationship capacity. System awareness is relatively high, especially among the team members who expect benefits from the system.(Research implications or Originality) The direction of personnel management for grade 6 civil servants without a position was proposed as follows: periodic identification and adjustment of the workload, personnel adjustment and repositioning of work, capacity enhancement education, competence diagnosis and reflection of results, and improvement of the operation system.
미래 한문과 교육과정 한시 영역의 목표와 내용 ‘지식’의 선정 방향 - 역량기반 교육과정의 비판적 수용 측면에서 -

This paper is designed to understand the 'competency-based curriculum' introduced in 2015 Revision National Curriculum, and to suggest a direction of selecting the objectives and the contents 'knowledge' in Curriculum for Classical Chinese Department for Han-shi part, in terms of the critical acceptance of competency-based curriculum.Competency-based curriculum is a topic of global educational change, and is an alternative curriculum design method for the future that has emerged since the early 2000s. It has received numerous criticisms, but is strongly evolving by actively taking those croticisms and optimizing itself for school education.As the competency-based curriculum is expected to continue, it is necessary to consider this in selecting objectives and content knowledge in Curriculum for Classical Chinese Department for Han-shi part.In setting goals, Han-shi-related competency, based on the competency-based curriculum, criticism of the curriculum, and the specificity of Han-shi, should be taken into consideration.In selecting contents knowledge, strong and diverse kinds of knowledge, based on the competency-based curriculum, criticism of the curriculum, the specificity of Han-shi, and the implementation of the curriculum, need to be selected.
PSYCHOLOGICAL STUDY OF THEMES IN TONI MORISON’S THE BLUEST EYE THROUGH INFERIORITY COMPLEX

Toni Morrison’s The Bluest Eye (1970) is one of the controversial modern American novels. She is a Noble Prize winner whose works are praised for addressing the harsh consequences of racism and colour issue in America. The story is written during 1941, the Great Depression in which a black family suffers from poverty, colour skin, and familial issues. Pecola Breedlove, as the protagonist, suffers from Inferiority Complex in a dysfunctional family whose desire is to have white skin and blue eyes. The inferiority complex theory was taken from Alfred Adler, whose works are significantly backbone in the world of psychology. The aims of this research are to analyse the personality of Pecola through which she searches for an ideal beauty as a black female character in the novel and to demonstrate the impact of racist attitude and incestuous relationship within a family. The research result shows that Pecola’s lives provide an example of the pain which results from facing Inferiority Complex on which she never sees herself as a complete image of being. It is somewhat broken and lacks self-esteem through which she was seen as a mad woman in the attic.
STRATIGRAPHIC AND STRUCTURAL RELATIONSHIPS THROUGH GEOLOGICAL AND GAMMAESPECTROMETRY ANALYSIS IN THE INTERFACE BETWEEN THE SÃO FRANCISCO CRATON AND THE ARAÇUAÍ OROGEN (SANTA RITA ANTICLINE, MINAS GERAIS, BRAZIL)

Geological mapping (1:25.000 scale), supported by gammaespectrometric analysis, was conducted in the Santa Rita Anticline region, a regional structure located in the contact between the Araçuaí Orogen external belt and the São Francisco Craton. The work aimed to detail the region's structural and stratigraphic relationships between the rocks of Espinhaço and São Francisco supergroups, which contact is not characterized by a thrust front, as it is in a large part of the Espinhaço Meridional Range (EMR). Five units from Espinhaço were mapped: Galho do Miguel Formation and Conselheiro Mata Group, represented by the Santa Rita, Córrego dos Borges, Córrego Bandeira and Córrego Pereira formations. By its turn, three units from the São Francisco Supergroup were mapped: undivided Macaúbas Group and Bambuí Group, represented by the Serra de Santa Helena and Lagoa do Jacaré formations. Restricted to the Espinhaço units, the Santa Rita Anticline consists in a structure with a south dipping axis and inﬂections that form saddle structures. The analysis of the gammaespectrometric responses provided clues that were conﬁrmed in the ﬁeld, highlighting an angular unconformity between the Córrego Pereira Formation and the Macaúbas Group and the local presence of isoclinal folds in Serra de Santa Helena rocks, promoting relevant questions regarding possible intermediary deformational events between the Statherian and Tonian tafrogenesis. The study contributes by raising questions about the evolution of the Araçuaí Belt in its contact with the São Francisco Craton and possible implications imposed by the Paramirim&#x0D; Keywords: Aerogeophysics, Litho-structural framework, Fold belt and craton transition, Espinhaço Meridional Range