Reviewerly/exHarmony huggingface dataset:
Determinants of Youth Entrepreneurship in Ethiopia Specific Evidence from Graduated Unemployed Youth in Debre Tabor

The purpose of the study was to examine the determinants of youth entrepreneurship in Ethiopia specific evidence from graduated unemployed youth in Debre Tabor Town.It employed descriptive and causal research designs.294 youths were taken as a sample and to get them snowball and convenience-sampling techniques were used.To check the correlations that exist among variables person correlation was employed.Furthermore, multiple linear regression analyses with the help of a Statically Package for Social Science used to investigate the determinants of youth entrepreneurship.Pearson correlation analysis results revealed that predictors such as government support, family background, culture influence, entrepreneurial capability, access to finance and business experience have a positive significant relationship with youth entrepreneurship.The regression analysis result discloses that 64.1% of the variation in youth entrepreneurship can be explained by six independent variables in the model.The hypothesis testing result revealed that all six predictors are significant to predict the dependent variable.The study recommended that youth's families and the government bodies better to find out and provide fund for the youth to promote entrepreneurship and encourage the transition of youth from education to the private job market.
Research & Subject Guides: Scholarly Communications Services for Researchers: Research Data Management & Curation

Supporting the creation, evaluation, dissemination, and preservation of the University's scholarly output
ILLUSTRATION ON THE SUPERIORITY OF DJANGO OVER THE OTHER PYTHON WEB FRAMEWORKS

The ensuing research paper encloses about the comparison between the various web frameworks of python and why the combination of python and its web framework Django is chosen to be the best and flexible framework. Frameworks offer a wide structure to the developers for the development of application. Recent surveys prompts that Python is going to be the fastest growing and easy to learn language. Python Frameworks are therefore assumed to be the most promising  choice for any application development or for improving the skill set of various backend developers. Django  takes care of the web development process in easier way and is developed by much more experienced people.
ON EQUIVALENCE OF LINEAR CONTROL SYSTEMS AND ITS USAGE TO VERIFICATION OF THE ADEQUACY OF DIFFERENT MODELS FOR A REAL DYNAMIC PROCESS

A problem of description of algebraic invariants for a linear control system that determine its structure is considered. With the help of these invariants, the equivalence problem of two linear time-invariant control systems with respect to actions of some linear groups on the spaces of inputs, outputs, and states of these systems is solved. The invariants are used to establish the necessary equivalence conditions for two nonlinear systems of differential equations generalizing the well-known Hopfield neural network model. Finally, these conditions are applied to establish the adequacy of two neural network models designed to describe the behavior of a real dynamic process given by two different sets of time series.
Library Guides: Darn It Professor...!: Mrs. Peacock's Assessment

Using the Escape Room Format for Information Literacy -- A Hands On Workshop Presented at The Collective, Spring 2019 Discussion of Purpose of Assessment and Different types of Assessment that work with the Escape Game Format.
CONTACT, NETWORK, PEOPLE, AND GEOGRAPHICAL SPACE: PERSPECTIVES ON THE S&K NETWORK METHOD AND THE LINGUISTIC ATLAS OF JAPAN DATABASE.

This paper discusses two research projects related to Takesi Sibata and Willem A. Grootaers: The S&K network method and the Linguistic Atlas of Japan Database (LAJDB).The S&K network method was proposed by Sibata to objectively divide dialect areas.The original idea demonstrated by Sibata involved dialect division through a network of linguistic similarities drawn on a map.The LAJDB is a project that aims to digitally render the entirety of the information contained in the Linguistic Atlas of Japan (LAJ).The LAJ is Japan's first nationwide linguistic atlas created on the basis of a linguistic geographical survey.Sibata and Grootaers were pivotal to the project.This paper focuses on several concepts and perspectives that were utilized for these projects: contact, network, people, and geographical space.These aspects were essential to the advancement of these research initiatives and are closely linked to their common spirit of linguistic studies.
UCC LibGuides: Game Design and Development: Getting Started

This guide is designed for students in the Game Design and Development A.A.S. (Associate in Applied Science) program.
Information Security Policy Compliance in SMEs

In the paper we examined attitudes, intent and adherence to informationsecurity policies and procedures in SMEs in Slovakia. Data were collected from theemployees of several SME in Slovak republic. Not all enterprises have establishedinformation security policies and procedures. Only 443 respondents (from 722) workedin a SME that had formulated an information security policy. The impact of the size ofenterprises, age on the measured variables has not been shown. IT related jobs,managerial post and education level of the respondents has shown significant impact inthe evaluation of attitudes, intentions and adherence to information security policies andprocedures. From statistical methods we use the maximum-likelihood estimation of thepolychoric correlation coefficient. The calculations have been carried out in R statisticalprogramming environment.
Changes on Problem Behaviors of Students with Disabilities and Perception of Special Education Teachers through Positive Behavioral Interventions and Supports(PBIS) by University-Special School Collaboration Team

The purpose of this study was to determine the effect of individualized positive behavioral interventions and supports (PBIS) implemented by a university-special school collaboration team on problem behaviors of students with disabilities and the perception of four special education teachers. The subjects of the study were four students with autism spectrum disorder attending a special school. We used an AB design as well as an individualized PBIS plan based on functional behavior assessment. We collected the frequency of problem behaviors using the event recording system and we measured the percentage of nonoverlapping data (PND) to determine the effect size. After the PBIS was terminated, we interviewed special teachers in a semi-structured manner. The results are as follows: First, out-of-seat behavior, aggressive behavior, and inappropriate demanding behaviors were reduced. PND has a high effect size, greater than 83 percent. Second, a qualitative analysis on the contents of interviews with the teachers identified the following 2 themes. One theme was special teachers' perception of collaborative PBIS with 2 subthemes: (1) teachers’ prejudice on PBIS, (2) changes in teachers’ perception in the process of collaborative PBIS. The other was successful outcomes of PBIS with 3 subthemes: (1) reduced problem behavior and improved quality of life of target students, (2) positive changes in the behavior of his/her peers, (3) positive impacts of PBIS on teachers. The results of this study could be used as basic data for developing a model to enhance the effectiveness of PBIS for students with disabilities in other special schools.
Yale University Library Research Guides: Housing Options for Collections: CoLibri

Instructions and guidelines for requesting housings from Collections Conservation and Housings
THE USE OF INDONESIAN LANGUAGE AS THE FIRST LANGUAGE BY CHILDREN OF THE BALINESE FAMILY (SENTENCE ANALYSIS IN TERMS OF CONTENTS AND STRUCTURE)

This research aimed to describe (1) the use of Indonesian language as the first language in terms of sentence based on the content and structure of children in the Balinese ethnic families and (2) the constraints faced by the Balinese ethnic families in Banjar Bernasi in using the Indonesian language as the first language of their children. The subject of this research was the Balinese family in Banjar Bernasi who used the Indonesian language as the first language of their children. The object of this research was the use of Indonesian language as the first language of children in the Balinese family ethnic in Banjar Bernasi and the constraints faced by the family in Banjar Bernasi in using the Indonesian language as the first language of their children. The data collection methods used were observation method, interview, and recording. There were several steps in analyzing the data, namely data reduction, data presentation, and conclusions. The results showed that (1) the use of Indonesian language as the first language of children in the Balinese ethnic families in Banjar Bernasi in terms of sentence based on the content and structure could be declared that children on the primary school were able to use the sentence well. (2) There was no constraint felt by parents in teaching the Indonesian language to their children. That was because the children had already been using the Indonesian language as a mother language start from the baby. Based on the results of research and discussion, it can be concluded that children were able to use the Indonesian language well in terms of sentences based on the content and structure. Therefore, it is suggested to parents to always teach their children to speak well so that children are able to communicate by using the Indonesian language effectively.
UMC Library: Online Learning: Off Campus Access

A research guide aimed at supporting online learning at the University of Minnesota, Crookston.
Busoni Takes Acid - piano sonata.1

Author(s): schreier, dan moses | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
Double Concerto for 2 Horns and Wind Ensemble

Author(s): Boyman, Michael | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
Research Guides: Welcome to Using Primo: Home

A resource guide for students and faculty about the transition to the Primo VE discovery service.
High-performance, deep neural networks with sub-microsecond latency on FPGAs for trigger applications

Abstract Modern high-end FPGAs, as they are often used for hardware-level trigger applications, offer enough arithmetic performance to include artificial neural networks of considerable size into such systems. Yet, there are only very few examples of the inclusion of ANNs into high-performance hardware triggers, which is especially due to the complex and time-consuming development for FPGAs, and the need for an optimized design in order to make efficient use of the FPGA capabilities. We developed a library that provides three types of layers: Fully-connected dense layers, as well as 2D multi-channeled convolution and maximum pooling layers. For maximum design control, these were designed with VHDL and optimized for the specific data flow and control requirements of each layer type. By that, it was possible to obtain multiple hundred MHz processing frequency and have only little resource overhead beyond what is required for the actual computation for the individual layers. Furthermore, we created a Python-based toolkit that builds on these layer implementations to make it possible to take a trained network from the Keras framework and create the FPGA firmware and initialization data without requirement of in-depth understanding by the user. The resulting (deep) network designs can process data coming in at multiple ten MHz at multiple hundred MHz processing frequency and latencies ranging from tens to few hundreds of nanoseconds, depending on the network size.
Connecting customers to the correct insurance through statistics and data analysis Helping insurance agents through data analytics

Many companies have built platforms for analyzing user data then using this to extrapolate useful information about customer segments, this project built such a platformed aimed at helping insuranc ...
Research on BIM Academic Hot Spots and Trend Analysis Methods Based on Data Mining Technology

Researchers always face a problem of how to better analyze and understand the BIM academic hot spots and trends. This paper proposes a method based on data mining technology to better analyze the BIM academic hot spots and trends, which uses SATI, Ucinet and Cite Space software to process bibliographic information. By mining and analyzing data from different forms and perspectives, the hidden laws of data information can be discovered, assisting relevant personnels to understand the academic hot spots and trends of BIM. In the paper, the method is described from three aspects of data extraction and processing, BIM academic hot spot analysis, and BIM academic trend analysis. In order to test the practicability of the method, the method is applied to the literature data analysis of BIM academic conference. Results show that the method is able to make different software complementary. And conclusions are made that current BIM researches mainly focus on data transformation and automatic modeling based on IFC Standard, BIM and PC building, etc., and that the future research focuses of BIM will turn to the academic development trend of basic research.
LibGuides: Library Resources For Online Classes: Evaluating Credible Sources

This guide will take students and faculty through all off-campus accessible Library resources.
Artificial Intelligence Based College Chabot For Admission Related Faqs

A Bot is a piece of software that conducts a conversation via auditory or textual methods this system is a web application which provides answer to the query of the student. It helps new comers and parents to clear their doubts on college timing, mess facility, medical facility, courses offered by college, room availability, other cultural activities, etc. We used python as programming language along with AIML[1] to do pattern matching for response selection. User input is broken down to a reduced query using NLP[2]  library. The System uses built in artificial intelligence to answer the query. The system provides appropriate answers as per user queries. The User can query any college related activities through the system. The user does not have to personally go to the college for enquiry. The System analyses the question with its knowledge and then answers to the user. The system replies using an effective GUI[3] which makes it easier for user to interact with the bot.
Library Guides: Scholarly Identity: A Guide: Websites and Blogs

A guide on how to manage, promote, and protect your online scholarly identity as a current or future researcher, academic, or scholar.
TOWARD AN EVALUATION OF THE COGNITIVE PROCESSES USED BY SOFTWARE TESTERS

Software testing is a complex activity based on reasoning, decision making, abstraction and collaboration performed by allocating multiple cognitive resources. While studies of behaviour and cognit ...
Navigational aid to points of interests outside the field of view in virtual environments

Advances in Virtual reality have brought opportunities for cinematic content to the users by allowing them to look around freely in any arbitrary direction and to interact as they please. This, how ...
En resa i komposition

In this essay Tomas Sjodell describes the process of composing and arranging music using different instruments such as upright bass, piano, guitar and computer. He looks into how the different inst ...
Personal Data Discoverability to Human Searchers: Observations on Personal Data Availability

Personal data is widely and readily available online. Some of that personal data might be considered private or sensitive, such as portions of social security numbers [1]. Prior research demonstrates the knowledge of personal acquaintances of data used in secondary authentication protocols [1]. We explored discoverability and location of personal data online and gathered observation actors making the data available. To empirically understand online data discoverability, we sought to identify select personal data of 32 volunteers. United States Naval Academy (USNA) Midshipmen and recent graduates of the USNA cyber operations major used publicly available online information to assemble personal data of participants. On average, the investigations took 10–20 min and accurately recovered substantial personal data. Of the sample, 68.75% of mother’s maiden names, 34.38% of nicknames and 28.13% of mobile phone numbers were accurately identified. Searchers noted that data was most readily obtained by performing a “social pivot” from the original participant and tracing social relationships on commercial sites (e.g. WhitePages) and social media (e.g. Facebook). Personal data was most frequently revealed as a result of social connections rather than direct, first person information provided by participants though their own web presence. Measuring the discoverability of personal data online provides insights into data vulnerabilities and actors in data availability. Data discoverability has ramifications on discussions of privacy beliefs and behaviors and current and future authentication protocols.
A COMPARATIVE STUDY OF FFN AND CNN WITHIN IMAGE RECOGNITION : The effects of training and accuracy of different artificial neural network designs

Image recognition and -classification is becoming more important as the need to be able to process large amounts of images is becoming more common. The aim of this thesis is to compare two types of ...
Experimenting Touchless Gestural Interaction for a University Public Web-based Display

Interest in and development of touchless gestural interfaces has recently exploded, fueled by the diffusion of both commercial midair gesture platforms and public interactive displays. This paper focuses on an application based on Microsoft Kinect that allows students to browse a university website, hosted on a public display, through simple gestures. We present two empirical evaluations where we evaluated how users react to this new way of interaction. In addition to confirming the current lack of standards, our results provide some inspiration for the design of touchless interaction.
Sevima Edlink social learning network for nursing science students at STIK Binahusada Palembang

ICT is a valuable tool to enhance teaching and learning. The online class is Sevima Edlink, an android-based application that is devoted to the world of education which aims to provide a learning space that bridges the teachers and the students in learning activities that can be done anytime and anywhere with more flexible learning time. The features in this application that facilitate interaction between the teacher and the students namely: discussion forums, sharing features, assignments in class, info, events, and surveys. The research method used is qualitative research. The participants were the students of STIK Bina Husada in the academic year 2019/2020, majoring Nursing Science Study Program who were taking English 1 subject. There were19 students and in the 2nd semester. The use of this application was started on Tuesday, March 10, 2020, and ended on April 28th, 2020. This study aims to introduce the students’ Sevima Edlink application and describe their English performance or mid-semester result test as the evaluation. In general, the research on "Sevima Edlink Social Learning Network for Nursing Science Students at STIK Bina Husada Palembang" went as expected. The students were enthusiastic about using the Sevima Edlink application. The writer pointed out several weaknesses of the Sevima Edlink application, one of them is network coverage because not all of the students are in Palembang city. Based on the mid-semester test result, majority of the students were in a good category, or it can be said that Sevima Edlink is one of useful platforms that can be used the teacher or lecturer to do his/her instruction
Interaction design for Collaborative AR Task Solving scenarios

The technological combination between the real world and virtual elements is called Augmented Reality (AR). The AR technology has been existing for decades, but the advancements the past years have been even more promising. There is still a lot to investigate when it comes to how to interactwith AR environments through a user-centered perspective. The goal of this project has been to explore how AR could assist and facilitate collaboration between users in a furniture assembly task. In this thesis, a conceptual development of a novel interaction technique to support collaboration in an AR environment is presented.The project was divided into four phases and the methodology used was iterative human-centered design.The (1) first phase was about choosing a scenario, which in this thesis project was \textit{furniture assembly}, and to gather data about the target audience. An online survey was conducted which generated data from 185 respondents. The (2) second phase was to explore how the user could communicate with the system and therefore five different interaction modalities were tested by three test pairs using a Lo-fi prototype developed mainly of cardboard and paper. The aim with the (3) third phase was to study how two people collaborate with each other with assistance from the system. A focus group discussion was held and resulted in a Mid-fi prototype with sketches. The (4) fourth phase was to create a Hi-fi prototype in AR. The prototype was developed in Unity and was an AR experience of an assembly task with virtual step-by-step instructions. The fourth phase also contained to evaluate the AR assembly experience through a usability test. Five pairs of users tested the prototype and were asked to rate the usability of the system. The mean rating from the users was Good which is the second highest level.
LibGuides: ProQuest Ethnic NewsWatch: Database Tips: Home

This guide shows users the highlights of ProQuest: Ethnic NewsWatch and provides tips and tricks of using the database.
Author Header Field

Internet mail defines the From: field to indicate the author of themessage's content and the Sender: field to indicate who initiallyhandled the message. The Sender: field is optional, if it has the sameinformation as the From: field. That is, when the Sender: field isabsent, the From: field has conflated semantics, with both a handlingidentifier and a content creator identifier. This was not a problem,until development of stringent protections on use of the From: field.It has prompted Mediators, such as mailing lists, to modify the From:field, to circumvent mail rejection caused by those protections. Thisaffects end-to-end behavior of email, between the author and the finalrecipients, because mail from the same author is not treated the same,depending on what path it followed. In effect, the From: field hasbecome dominated by its role as a handling identifier. The currentspecification augments the current use of the From: field, byspecifying the Author: field, which identifies the original author ofthe message and is not subject to modification by Mediators.