Reviewerly/exHarmony huggingface dataset:
Role of Financial Institutions in the Growth of Micro and Small Enterprises in Dire Dawa Administration

The target of this study was to research the role of financial institutions on the growth of micro and small enterprises in Dire Dawa Administration.the specific objectives of this study were; to determine the role of financial institutions, MFIs' saving services on the growth of MSE in Dire Dawa Administration, to determine the role of monetary institutions, MFIs' loan services on the growth of MSE in Dire Dawa Administration and to research the role of financial institutions, MFIs' training services on the expansion of MSE in Dire Dawa Administration.These objectives sought to answer the subsequent questions: what is the role of financial institutions, MFIs' saving services on the growth of MSE in Dire Dawa Administration?What is the role of financial institutions; MFIs' loan services on the growth of MSE in Dire Dawa Administration?And, what's the role of financial institutions, MFIs' training services on the growth of MSE in Dire Dawa Administration?The study adopted descriptive research design targeting a sample size of 245 MSE.Primary data was collected using structure questionnaires while secondary data was collected from relevant literature.The study used selfadministered questionnaires to gather primary data from the respondents.Quantitative data was analyzed using descriptive statistics like frequencies, modes, means and standard deviations.Likert type data was analyzed using mode because the focus of discussion.Correlation and regression was conducted to work out the role of monetary institutions, MFIs' on the expansion of MSE within the study area.The study findings revealed financial institutions; MFIs' saving and loan services have positively and significantly influenced the growth of MSE in Dire Dawa Administration but the training services have not contributed positively.The study recommends there is need for MFIs and MSE stakeholders to return up with measures of addressing the poor performing training component of MFIs services in Dire Dawa Administration, Ethiopia.
2D, 3D, 4D: How to inhabit after trauma?

This article seeks to develop a psychoanalytic conception of inhabiting, taking into account the variations of space as they can be observed in the clinic of trauma and in the artistic experience. After having presented a first psychoanalytic definition of inhabiting as a “psychical production of space”, in connection with the positions of S. Freud and J. Lacan, Philippe Lançon's book Le Lambeau serves as a clinical reference, highlighting the variations between different types of space. Three types of spaces are identified and presented metapsychologically: three-dimensional space (3D) constructed by the ego; the two-dimensional space (2D) that manifests itself to the Subject, in particular in the repetitive emergence of traumatic scenes; finally, an artistic experience (both creation and reception) that needs to be thought through topologically, and therefore in four dimensions (4D). These three types of space need to be thought together, in particular because of a mute and vertiginous common point between 2D and 4D. Several articulation models are presented and discussed, gradually making it possible to identify the therapeutic and ethical issues of different clinical orientations. In doing so, three successive definitions of a psychoanalytic approach to inhabiting are also presented. The spatial dimension of trauma remains relatively under-studied. However, it offers valuable ways for intervention and clinical invention, especially if we consider the contribution of artistic experience. The enigmatic notion of inhabiting can at last be understood here as the way in which these three spaces are produced by the structure of the unconscious.
Securing Smart Homes.

Devices in people’s homes increasingly depend on software and hardware components. They interoperate with other devices wirelessly and through the Internet. The sensitive nature of some of their data, their increasing interoperability puts their security at the forefront. In this paper we will show smart homes can resiliently be secured by varying functionality, exposure and authentication. We will demonstrate these mechanisms on simple smart home situations.
ssn_diBERTsity@LT-EDI-EACL2021:Hope Speech Detection on multilingual YouTube comments via transformer based approach

In recent times, there exists an abundance of research to classify abusive and offensive texts focusing on negative comments but only minimal research using the positive reinforcement approach. The task was aimed at classifying texts into ‘Hope_speech’, ‘Non_hope_speech’, and ‘Not in language’. The datasets were provided by the LT-EDI organisers in English, Tamil, and Malayalam language with texts sourced from YouTube comments. We trained our data using transformer models, specifically mBERT for Tamil and Malayalam and BERT for English, and achieved weighted average F1-scores of 0.46, 0.81, 0.92 for Tamil, Malayalam, and English respectively.
LibGuides: LSC 504: Supporting Social Emotional Learning with Books by Abby Titmas: Introduction

This guide helps to support Social Emotional Learning with books. This guide is meant for elementary school teachers and parents looking for Social Emotional Learning books, tools, and more information on social emotional learning.
LibGuides: CPSC 1301K - TeachAccess Grant 2020-2021: Home

This guide aims to help teach students how to design accessible applications using the Python programming language
LibGuides: LIS 511 (2019 Spring): Students in the School Library - Makerspace: Underserved Students

This guide provides information and resources about the upcoming trend of makerspace. This allows us to see how many students are being underserved of access to this experience, along with how a change can be made.
A moment ratio bound for polynomials and some extremal properties of Krawchouk polynomials and Hamming spheres.

Let $p \ge 2$ . We improve the bound $\frac {\|f\|_{p}}{\|f\|_{2}} \le (p-1)^{s/2}$ for a polynomial $f$ of degree $s$ on the boolean cube $ \{0,1\}^{n}$ , which comes from hypercontractivity, replacing the right hand side of this inequality by an explicit bivariate function of $p$ and $s$ , which is smaller than $(p-1)^{s/2}$ for any $p > 2$ and $s > 0$ . We show the new bound to be tight, within a smaller order factor, for the Krawchouk polynomial of degree $s$ . This implies several nearly-extremal properties of Krawchouk polynomials and Hamming spheres (equivalently, Hamming balls). In particular, Krawchouk polynomials have (almost) the heaviest tails among all polynomials of the same degree and $\ell _{2}$ norm. 1 The Hamming spheres have the following approximate edge-isoperimetric property: For all $1 \le s \le \frac {n}{2}$ , and for all even distances $0 \le i \le \frac {2s(n-s)}{n}$ , the Hamming sphere of radius $s$ contains, up to a multiplicative factor of $O(i)$ , as many pairs of points at distance $i$ as possible, among sets of the same size (there is a similar, but slightly weaker and somewhat more complicated claim for all distances). This also implies that Hamming spheres are (almost) stablest with respect to noise among sets of the same size. In coding theory terms this means that a Hamming sphere (equivalently a Hamming ball) has the maximal probability of undetected error, among all binary codes of the same rate. We also describe a family of hypercontractive inequalities for functions on $ \{0,1\}^{n}$ , which improve on the ‘usual’ “ $q \rightarrow 2$ ” inequality by taking into account the concentration of a function (expressed as the ratio between its $\ell _{r}$ norms), and which are nearly tight for characteristic functions of Hamming spheres. 1 This has to be interpreted with some care.
Projects Management in Technology Start-ups for Mobile Software Development

The management of the technology start-up company for development of software for mobile devices includes various activities such as creation of specification, development, implementation, sale, and maintenance of software for mobile devices, as well as services for it. Usually the main activity is the production and maintenance of software for mobile devices, but there may be different options and sub-options in the business model of the technology start-up, which are divided into two main categories - products and services. In recent years, there has been a trend to move into a business with service providers. The objective of our study is to outline some specifics about the operation of technology start-up companies for mobile software development in areas such as the management of human and financial resources, choosing the suitable methodology for software development and business model to follow.
Exploración de Redes Neuronales Holográficas con Cuantificación Difusa para el Monitoreo de Conductores en Conducción Autónoma Condicional

The Society of Automotive Engineers (SAE) defines Automated Driving Systems (ADS) for road vehicles as being that can perform the entire dynamic driving task without a human driver in the loop. Under conditional driving automation (SAE Level 3), when automated driving fails the drivers are expected to resume manual driving. For this transition to occur safely, it is imperative that drivers react in an appropriate and timely manner, which is difficult to happen once the driver has been subjected to long distances of autonomous driving. Artificial Intelligence (AI) techniques could be used for safety assurance of adaptive safety-critical systems. Not only sensing the external environment of the vehicle, but also monitoring the state of the driver-vehicle communication. Further, the concept of explainable AI was highlighted as having potential to provide evidence from ADS that could support safety assurance and regulatory compliance. In this work we present a neuro-fuzzy method working as an explainable machine learning approach suitable for domains where validation of the underlying non-linear prediction models is required. The results of comparison between proposed model and other models from the literature show that the proposed model could provide explanations about its predictions in real time to ensure smooth transitions in SAE Level 3
Visual Analysis of Sales Temporal Evolution Using KMeans, MultiStream and GeoChart

In this study, we propose to employ KMeans, MultiStream and GeoChart to meet the complexity of information treatment in growing companies, and to visualize large amounts of data, in order to support timely decision-making with a Visual Analysis. KMeans allows information to be segregated by relating the gains to the distance between the nodes, MultiStream allows selecting a time segment and identifying patterns based on hierarchies of the selected segment and GeoChart allows a generic geographic visualization by adding the selected data in a data structure to visualize them on a map. Employing all three programs, KMeans, MultiStream and GeoChart, we analyze information from data banks of a transit company and illustrate how to arrive at a reliable cost/benefit analysis via a nine-step data analyzation procedure.
Las desigualdades sistémicas del Sistema de Educación Intercultural Bilingüe se profundizan durante la crisis sanitaria del COVID-19 (Investigaciones)

The COVID-19 crisis exposed historic inequalities of the education system, especially for the rural and indigenous sectors in Ecuador. This study analyses the impact of the strategies designed to mitigate COVID-19’s effects in Achuar education. The study used an autobiographic-narrative method incorporating participant observation and non-structured interviews. It was conducted from March to June 2020 in the Achuar Community Saapap, located in Morona Santiago Province. The schools in the area adopted distance education to replace online education from urban areas. This modality reinforces historic disadvantages for indigenous children as it requires independent learning without appropriate resources and in foreign languages escalating coloniality of knowing and being.
Embodied Multimodal Agents to Bridge the Understanding Gap

In this paper we argue that embodied multimodal agents, i.e., avatars, can play an important role in moving natural language processing toward “deep understanding.” Fully-featured interactive agents, model encounters between two “people,” but a language-only agent has little environmental and situational awareness. Multimodal agents bring new opportunities for interpreting visuals, locational information, gestures, etc., which are more axes along which to communicate. We propose that multimodal agents, by facilitating an embodied form of human-computer interaction, provide additional structure that can be used to train models that move NLP systems closer to genuine “understanding” of grounded language, and we discuss ongoing studies using existing systems.
Algoritmo de aprendizaje reforzado para software de modelado basado en mapas cognitivos difusos

Fuzzy Cognitive Maps are a powerful tool that can be used to model complex systems with undetermined dynamics, in addition to being interpretable. However, sometimes it is difficult to determine precisely the relationships that occur between the concepts of a system. In previous research, a software library was designed and developed that is capable of creating this type of model and adjusting it with good precision. In order to achieve a good fit of the weight matrices of a model using the available learning algorithm, it is necessary to develop it from a specific set of values. In this research, a new Automatic Learning algorithm was introduced to the library, which uses Reinforced Learning techniques. This allows for better adjustment of the weight matrices, even when the learning is faced with uncertainty in the initialization of the model values. The results reflect that a model obtained using the library with the modifications, fits correctly to the behavior of the system that emulates in a greater number of situations. The quality of the model is directly related to the iterations that are made to train it, being favorable an increase of them. To obtain the results, simulation data of an RLC circuit was used, to which a noise signal was added to achieve a greater similarity to real process data.
Ідеї синергетики у змісті підготовки майбутнього вчителя

The author proved that the synergetic approach would allow the teacher to consider each subject of the pedagogical process as the subsystem, which can transform from the development process to self-development. The article focused on the education and personality in it, as a multifaceted phenomenon of bio-socio-cultural presence on Earth in the context of a synergetic system with all its inherent characteristics: complexity, openness, nonlinearity, imbalance, manifestations of chaos, and self-organization. Particular attention is paid to the aesthetic component in the synergistic interaction of the child and the universe.It is highlighted the potential possibilities of philosophical and synergetic approach in the synergetic culture development among future teachers in the informational and digitalized world. Also, it is clarified the organizational context of the synergetic ideas' integration in educational and professional programs of their professional training.
Prediction of Optical Power Data Based on Optimized ARIMA Model

In order to make the operation of optical fiber protection system more stable and improve the accuracy of time series prediction for a small amount of optical power data samples, this paper presents an ARIMA model prediction method based on improved wavelet decomposition.This method uses the improved wavelet decomposition is multistage discrete wavelet decomposition SWT and improved it.Different from the conventional method of decomposition and reconstruction of signals, this paper directly uses wavelet decomposition coefficient for modeling, which simplifies the process of input data construction and reduces the data loss caused by data reconstruction.ARIMA is autoregressive integrated moving Average model.Building a combination model and using the data to conduct simulation experiments.Experimental results verify that the prediction accuracy of this optimization model is higher than that of the ARIMA model alone and prove that this model is superior to a small amount of sample optical power data.
LibGuides: Digital Archives for WGSS Research: Meta Archives: WGSS as a Discipline

This guide contains a number of links to digital archives that may provide primary source materials in support of WGSS courses.
LibGuides: Cultural Diversity in Children's Literature: Other Resources

This guide will provide resources about culturally responsive teaching and literature for Elementary Education students.
LibGuides: OverDrive: Getting Started (Mobile Device or Tablet)

An introduction to OverDrive, an eBook and audiobook content provider. This page provides instruction on how to sign into Overdrive from your mobile device or tablet.
dhivya-hope-detection@LT-EDI-EACL2021: Multilingual Hope Speech Detection for Code-mixed and Transliterated Texts

In this paper we work with a hope speech detection corpora that includes English, Tamil, and Malayalam datasets. We present a two phase mechanism to detect hope speech. In the first phase we build a classifier to identify the language of the text. In the second phase, we build a classifier to detect hope speech, non hope speech, or not lang labels. Experimental results show that hope speech detection is challenging and there is scope for improvement.
Research Guides: Athens - Remote Access to Carilion Subscriptions: Troubleshooting

How to register for an account, login, customize your home page, troubleshoot issues, and more.
Professional Training of the Specialists of Informational, Library and Archival Affairs in the Context of Realization of Dual Education

The methodology of the research involves the application of theoretical methods of research: analysis (structural-logical, semantic, systematic and complex), systematization, comparison and collation of scientific views on the problem of professional training of specialists in information, library and archival affairs in the context of the implementation of dual education. The theoretical and informational basis for the study includes the following: legislative and normative base of Ukraine; scientific concepts and theoretical developments of domestic and foreign scientists on the problems of dual education; informational materials of periodicals, reference books; Internet resources. Results. The problem of modernization of higher education in Ukraine in the context of the implementation of dual education is researched, the experience of the Department of Information, Library and Archival Affairs of SS «Mykolaiv branch of Kyiv National University of Culture and Arts» is presented with the introduction of the dual model of professional training of information, library and archives specialists, which is based on the principles of development and strengthening of the partnership of the university with libraries of the southern region of Ukraine. The dual model of organizing the educational process in this case is conceptual and basic. It is based on creating the optimal conditions for combining theoretical knowledge gained in the formal learning environment with practical skills acquired directly at the workplace. Novelty. The dual model of professional training of information, library and archives specialists is presented on the example of the experience of the Department of Information, Library and Archival Affairs of SS «Mykolaiv branch of Kyiv National University of Culture and Arts». Practical significance. The theoretical provisions of the research are closely intertwined with practical ones, and may be important in the organization of vocational training, which involves a coherent interaction of theoretical and practical activities. The results of the research can be used in the educational process in institutes of higher learning and other educational institutions, which train professionals in the specialty «Informational, Library and Archival Affairs», as well as carry out their retraining, advanced training and provide continuous education for library assistants. Also, theoretical provisions of the study can be used in compiling methodological recommendations for improving the professional training of specialists in the specialty. Key words: dual education, professional training, higher library education, Department of Information, Library and Archival Affairs, SS «Mykolaiv branch of Kyiv National University of Culture and Arts», library, modernization.
Positioning Higher Education Quarterly: A scholarly journal on policy, organisation, leadership and the professions in higher education

Higher Education QuarterlyVolume 75, Issue 2 p. 195-198 EDITORIAL Positioning Higher Education Quarterly: A scholarly journal on policy, organisation, leadership and the professions in higher education Tatiana Fumasoli, Corresponding Author Tatiana Fumasoli fumasolthequ@outlook.com UCL Institute of Education, University College London, London, UKSearch for more papers by this author Tatiana Fumasoli, Corresponding Author Tatiana Fumasoli fumasolthequ@outlook.com UCL Institute of Education, University College London, London, UKSearch for more papers by this author First published: 19 April 2021 https://doi.org/10.1111/hequ.12327Read 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 onFacebookTwitterLinked InRedditWechat Volume75, Issue2April 2021Pages 195-198 RelatedInformation
CREATING PERSONALIZED GUEST EXPERIENCE JOURNEY IN LEISURE HOTEL

With advancements in technology, the use of Virtual Reality (VR) and Artificial Intelligence (AI) in the hospitality industry has become common. New technologies have changed the guests expectations and their journey. Therefore, the purpose of this paper is to provide a comprehensive conceptualization of the personalized guest experience journey in leisure hotel i.e. the way front-line employees creates personalized and pro-active guest experience that the intelligent use of data and technology support. The paper provides systematic literature review of VR and AI as support tool for front-line employees while creating personalized guest experience during each of the five stages of the guest cycle: pre-arrival, arrival, stay, departure, post-stay. This paper is theoretical, so empirical studies are necessary to validate or reject the proposed concept.
LibGuides: Datasets for Statistics Classes: Home

This is a compilation of fun and interesting datasets that are exportable --usually as CSV files--and are mostly quantitative.
The Fourth Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf'21): Benchmarking in the Cloud

The HotCloudPerf workshop is a meeting venue for academics and practitioners, from experts to trainees, in the field of cloud computing performance. The workshop aims to engage this community, and to lead to the development of new methodological aspects for gaining deeper understanding not only of cloud performance, but also of cloud operation and behavior, through diverse quantitative evaluation tools, including benchmarks, metrics, and workload generators. The workshop focuses on novel cloud properties such as elasticity, performance isolation, dependability, and other non-functional system properties, in addition to classical performance-related metrics such as response time, throughput, scalability, and efficiency. The theme for the 2021 edition is "Benchmarking in the Cloud". HotCloudPerf 2021, co-located with the 12th ACM/SPEC International Conference on Performance Engineering (ICPE 2021), is held on April 19-20th, 2021.