Reviewerly/exHarmony huggingface dataset:
Implementation of Emerginf Technology by Law Enforcement

The implementation and adoption of emerging technologies should develop into a proactive approach within the law enforcement community. When law enforcement agencies remain stagnant, they run the risk of losing the ability to remain effective in an enforcement capacity. Efficiency suffers in an agency because of diminished capabilities in carrying out its mission, translating to fiscal losses for society in general. Most importantly, transparency inevitably suffers when agencies fail to adapt quickly to a changing technological world –leading to a negative perception and loss of trust in any community. It is the duty of law enforcement leaders to seek progressive and intelligent ways of implementing emerging technologies to serve society.
LibGuides: Dual Credit/Dual Enrollment Students:: Finding Good Sources

Welcome to the DSU Library Dual Credit/Dual Enrollment Research Guide! This page provides videos and examples specific to APA In-Text citation for one, two, three to five and more than five authors. It also gives examples for situations with different types of authors.
Peningkatan Prestasi Belajar Akuntansi Dengan Penerapan Strategi Discovery Learning Pada Kelompok Belajar Siswa Kelas XI SMA Di Desa Gunungsari Kabupaten Madiun

This research was conducted to improve student achievement by applying the discovery learning method. The subjects of this study were the teacher as the action giver and 10 students of class XI SMA Negeri 1 Nglames as the recipient of the action. This is classroom action research and it was conducted in two cycles. Each cycle consists of four stages: planning, acting, observing, and reflecting. Data collection in this study was carried out using observation, tests, and documentation which were analyzed using quantitative descriptive with percentages. The results of this study indicate that student achievement in accounting subjects increased, which can be seen in those indicators: 1) Student engagement improved in the learning process, 2) Comparison level about the learning material increased, 3) Student could answer the questions from the teacher easily, 4) Student could follow the learning process easily, 5) Expressing opinions during learning, 6) Good discussion in the learning process. From these explanations it can be concluded that the use of discovery learning learning methods can improve student achievement in accounting subjects for class XI students in SMA in Gunungsari village, Madiun district.
LibGuides: Access to library resources – issues and tips: RSS feeds

Having trouble getting access to an article or database? Find out about known issues and learn some tips and tricks.
Best Touch Screen Monitors

Touchscreens are popular with our phones and tablets, but hey, computer monitor technology just got more exciting thanks to the touch screen features ...
Recommendations from Cold Starts in Big Data

This paper examines the challenging problem of new user cold starts in subset labelled and extremely sparsely labelled big data. We introduce a new Isle of Wight Supply Chain (IWSC) dataset demonstrating these characteristics. We also introduce a new technique addressing these challenges, the Transitive Semantic Relationships (TSR) model, which infers potential relationships from user and item text content and few labelled examples. We perform both implicit and explicit evaluation of TSR as a recommender system and from new user cold starts we achieve a hit-rate@10 of 77% on a collection of 630 items with only 376 supply-chain consumer labels, and 67% with only 142 supply-chain supplier labels, demonstrating a high level of performance even with extremely few labels in challenging cold-start scenarios. TSR is suitable for any dataset featuring few labels and user and item content, where similarity of content indicates similar relationship forming capability. TSR can be used as a standalone recommender system or to complement existing high-performance recommender models that require more labels or do not support cold starts.
A modified differential evolution algorithm with a balanced performance for Exploration and Exploitation phases

Recently, many optimization algorithms have been proposed to find the best solution for complex engineering problems. These algorithms can search unknown and multidimensional spaces and find the optimal solution the shortest possible time. In this paper we present a new modified differential evolution algorithm. Optimization algorithms typically have two stages of exploration and exploitation. Exploration refers to global search and exploitation refers to local search. We used the same differential evolution (DE) algorithm. This algorithm uses a random selection of several other search agents to update the new search agent position. This makes the search agents continually have random moves in the search space, which refers to the exploration phase but there is no mechanism specifically considered for the exploitation phase in the DE algorithm. In this paper, we have added a new formula for the exploitation phase to this algorithm and named it the Balanced Differential Evolution (BDE) algorithm. We tested the performance of the proposed algorithm on standard test functions, CEC2005 Complex and Combined Test Functions. We also apply the proposed algorithm to solve some real problems to demonstrate its ability to solve constraint problems. The results showed that the proposed algorithm has a better performance and competitive performance than the new and novel optimization algorithms.
LibGuides: eBooks and Overdrive: Professional Collection

If you are logging in from home you will be required to provide our username and password. Please contact your librarian.
The Bullying Pulpit: The Audience Effects of a Partisan Character-Attacking Speaker

Campus speakers, and the protests against them, have sparked debate in the U.S. about declining support for free speech. Yet, the content of such speeches has largely been ignored. Do audiences want to shut down a speaker because that speaker holds a disagreeable position, or is it the way in which that position is conveyed? That is, does disagreement generally or only difference delivered with animus—in this case, with character attacks—drive audiences toward retaliatory action? To answer, we draw from Kenneth Burke’s theory of identification to investigate how audiences react to political rhetoric when they encounter character attacks against the political party with which they affiliate. We propose that the very character attacks a speaker uses to achieve identification with a target audience can also cause disidentification that engenders an oppositional audience poised to act against the speaker – in this case, to restrict the speaker’s right to speak. We expect that espousing a different opinion absent character attacks will not have this effect, but we do anticipate differential effects based on the type of character attack. For this, we turn to Burke’s approach to framing to determine whether character attacks presenting one’s in-group party as foolish (comic frame) rather than traitorous (tragic frame) have distinct effects on the audience. We conduct an online survey experiment of U.S. residents to test whether the two types of attacks, compared to arguments that use identification strategies, decrease support for expressive rights in the context of a college campus speech. Our results indicate that character attacks increase the likelihood that participants attribute malevolence to the outgroup political party, which then decreases their support for a speaker’s right to speak. Both comic and tragic attacks lead to the same outcomes. Optimistically, civilly disagreeable speeches that use identification strategies prompt normatively beneficial outcomes, suggesting that not all disagreeable content decreases free speech support. Conversely, character attacks prompt disidentification that leads to retaliatory action. These findings indicate that audiences’ free speech support may be more dependent on a speaker’s use of character attacks than their issue content.
Cognition and entrepreneurial business modelling : the impacts of cognitive dispositions, search activities and visual framing

Although the search for promising business models (BMs) is crucial for every profit-oriented venture, searching for those challenges in particular entrepreneurs. Limited resources, missing expertise and absolute uncertainty call entrepreneurs to strongly rely on their cognition in searching for a promising BM. However, as prior studies have examined cognitive search activities in isolation and neglected cognitive differences, explanations of how cognitive factors affect the BM process and outcomes are thus far insufficient.Addressing the overall question of how BMs emerge, the dissertation contributes to the cognitive perspective in entrepreneurship and BM research. Building on the dual-process theory from cognitive psychology, the micro-foundations of managerial decision-making and insights from framing literature, this dissertation explicitly investigates the impacts of different cognitive dispositions, search activities and visual framing effects. The core assumption is that cognitive dispositions and entrepreneurs’ searches for information determine their BM decision-making. Furthermore, BM visualisations have become popular instruments with which to explain and manage today’s complex business interactions. As they abstract from reality, they can also unfold impacts on the cognitive processes.This dissertation offers new explanations to these aspects and consists of three studies and one reflective article. The first study explores the impacts of differences in search activities and cognitive dispositions in a qualitative study with 70 entrepreneurship students. The second qualitative study explores the cognitive impacts of 103 BM visualisations. Third, a quantitative PLS-SEM experiment with 197 entrepreneurs illuminates the link between BM visualisations and cognition. The reflective article expresses the results’ meaning for the teaching of BMs.In sum, the studies have resulted in a new theory of stabilising factors explaining how cognitive dispositions, search activities and visual framing determine entrepreneurs’ decisions to imitate or deviate from existing BMs. It indicates that the decision depends on the context-dependent strategic orientation and cognitive disposition-dependent cognitive safety, that is the correspondence between characteristics of cognitive dispositions and search activities. Moreover, the studies identified five visual framing effects that are independent of cognitive dispositions and prior experiences. This provides fertile contributions to the literature on BM methods and how BM visualisations affect decisions. Most importantly, BM visualisations provide an emotionally stabilising function to rational entrepreneurs, a cognitively stabilising function to experiential participants and do not affect indifferent participants in general.
Digital Branch: Grades K-3: STEAMTIME!

At the Morse Institute Library, grades K-3 explore the power of creativity, take chances, make mistakes and have some fun!
Library Portal: Engineering : Home

This guide supports the research needs of students enrolled in the Engineering degree and CCP programs at Brunswick Community College.
Embed More Ignore Less (EMIL): enriched representations for Arabic NLP

Our research focuses on the potential improvements of exploiting language specific characteristics in the form of embeddings by neural networks. More specifically, we investigate the capability of neural techniques and embeddings to represent language specific characteristics in two sequence labeling tasks: named entity recognition (NER) and part of speech (POS) tagging. In both tasks, our preprocessing is designed to use enriched Arabic representation by adding diacritics to undiacritized text. In POS tagging, we test the ability of a neural model to capture syntactic characteristics encoded within these diacritics by incorporating an embedding layer for diacritics alongside embedding layers for words and characters. In NER, our architecture incorporates diacritic and POS embeddings alongside word and character embeddings. Our experiments are conducted on 7 datasets (4 NER and 3 POS). We show that embedding the information that is encoded in automatically acquired Arabic diacritics improves the performance across all datasets on both tasks. Embedding the information in automatically assigned POS tags further improves performance on the NER task.
Guides: Faculty and Staff Library Resources and Services: Book Checkout and Return

This guide gathers resources to assist faculty and staff in using Western's library tools, resources, and services.
Deep Universal Dependencies 2.5

Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3105). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Stereoscopic Calculation Model Based on Fixational Eye Movements

Fixational eye movement is an essential function for watching things using the retina, which has the property of responding only to changes in incident light. However, since the rotation of the eyeball causes the translational movement of the crystalline lens, it is possible in principle to recover the depth of the object from the moving image obtained in this way. We have proposed two types of depth restoration methods based on fixation tremor; differential-type method and integral-type method. The first is based on the change in image brightness between frames, and the latter is based on image blurring due to movement. In this chapter, we introduce them and explain the simulations and experiments performed to verify their operation.
Review on Detection of Cyberbullying using Machine Learning

Abstract-Internet has touched every aspect of human life, bringing ease in connecting people around the globe and has made information available to huge strata of society with a click of a button. With advancement, came unforeseen banes of cyber offences. Cyberbullying is a form of electronic communication, which harms the reputation or privacy of an individual, or threatens, or harasses, leaving a long-lasting impact. Although it has been an issue for many years, the recognition of its impact on young people has recently increased. Through machine learning, we can detect language patterns used by bullies and their victims, and develop rules to automatically detect cyberbullying content. We comprehensively review cyberbullying prediction models and identify the main issues related to the construction of cyberbullying prediction models. This paper provides insights on the overall process for cyberbullying detection and most importantly overviews the methodology. Through data collection and feature engineering process has been elaborated, yet most of the emphasis is on feature selection algorithms and then using various machine-learning algorithms for prediction of cyberbullying behaviours. A supervised Learning Algorithm, which gives the highest accuracy, was used for the detection of cyberbullying activity over the internet.
Chinese Medical College Students’ English Vocabulary Learning Difficulties, Attitudes and Preferences towards the Use of Mobile Application for Vocabulary Learning

English language teaching and learning have undergone a lot of changes in the past decades. Among these changes is the use of mobile application in learning, a new learning method where users use mobile platforms to learn.The purpose of this study is to identify Chinese medical college students’ vocabulary learning difficulties, as well as, to determine their attitudes and preferences on the use of mobile application in English learning vocabulary. The study used quantitative research design using descriptive statistics to analyze the data and report the result of the study. There were 282 Chinese medical college students who participated in this study in which a questionnaire survey was used to collect data.The findings indicated that Chinese medical college students have faced difficulties in English vocabulary learning, such as, spelling, pronunciation, word meaning and word usage. In terms of attitude, the results found that students have had favorable attitudes toward the use of mobile application in terms of its benefit in reading, listening and writing. However, in terms of speaking students tended to have different opinions on whether mobile applications are beneficial for developing their speaking. However, incorporating, textbooks and mobile technology in vocabulary teaching and learning, might be a good way to help students in building their English language ability to become competent learners.
LSC-North Harris Library Research Guides: Library Online Learning Modules: Creating Content Modules

This guide is to serve as a menu of instruction modules to meet the information literacy needs LSC-NH online classes. Each module can be embedded into D2L, and takes 5-10 minutes to complete.
Thinking on the Application of English Learning App in the Study of College English Major

Mobile and computers have become an indispensable part of modern people's life and study, and the changing learning lifestyles are also refreshing. For example, English learning apps have many influences on college English majors' studying English. This article is going to study the help and troubles brought by various learning APP to college English majors in English learning in the self-media era, so that students can dig deeper into the functions of the apps while understanding the learning apps.
Crawling, Indexing and Ranking in Search Engine

The main objective of any Search Engine is to search appropriate and approximately accurate information. Search Engine Optimization (SEO) plays the primary and necessary role in the success of any business. Because SEO, not only increase the visibility and ranking, but also helps any organization to boost and increase sales by directing more and more traffic to the website. The three main tasks of the search engine are crawling, indexing and ranking. There are different techniques in SEO of crawling, indexing and ranking. Crawling, indexing and ranking are the important constituents of SEO for any website. These three constituents help to increase the online communication with the users. Keywords: SE (Search Engine), SEO (Search Engine Optimization), URL (Uniform Resource Locator), Crawling, Indexing, Ranking, Web Crawler. Cite this Article: Ramdas P. Bagawade, Saniya S. Deshpande, Tejasvi D. Kale. Crawling, Indexing and Ranking in Search Engine. Journal of Software Engineering Tools & Technology Trends. 2020; 7(1): 8–11p.
DESIGN OF MULTIPLEXER AND JK FLIP FLOP USING ADVANCED REVERSIBLE LOGIC GATES FOR QUANTUM COMPUTERS

Quantum computers are the present emergent technology which uses reversible logic gates for designing quantum circuits classical logic gates are for conventional digital circuits where as reversible logic gates are building blocks of quantum circuits. power consumption in digital circuits can be drastically reduced by using reversible logic. In conventional digital circuits, during logical operations some bits of information are lost due to significant amount of energy is dissipated. So, this loss of bits of information can be avoided by using reversible logic gates. Reversible logic gates used to maximize the speed and reduce the time delay. Reversible technology plays an important role in nano technology and less energy complementary metal oxide semiconductor (CMOS) technology. This paper presents some of the reversible logic gates, advanced reversible logic gates like PV, SAM, Multiplexer, JK flip flop. JK flip flop with simple reversible logic gates and advanced reversible logic gates is designed. The power, delay in JK flip flop with reversible logic gates is observed as 2.49Mw, 2.18nsec and the power, delay in JK flip flop with advanced reversible logic gates is observed as 2.019Mw, 1.59nsec .From these results it is observed that JK flip flop with advanced reversible logic gates consumes less power and faster than JK flip flop with simple reversible logic gates.
RESEARCH OF THE EFFICIENCY OF USING SOFTWARE PRODUCTS FOR SIMULATION OF PHYSICAL PROCESSES

The introduction of new information and communication technologies in the educational process requires a transition to a new high-quality level of teaching physics, the revitilization of students’ educational activities. The successful use of pedagogical software helps the teacher to present educational material at a high and quality level, to control educational activities, to increase the self-organization of the educational process. Computer demonstrations can be an organic part of any class and effectively help the teacher and learners. Some physical processes or phenomena cannot be observed visually in the laboratory. Modeling of various phenomena certainly does not replace "live" experiments, but in combination allows explaining the meaning of a particular educational material at a higher level. This article discusses the practical use of pedagogical software products for modeling physical processes: software product "Laboratory work "Study of hemodynamics fundamentals using the apparatus "Heart-lung machine SORIN C5", mobile application "Pedometer", software product "Educational software in physics. Electrodynamics". Software products form subject of competencies in physics. There is a more complete realization of students’ potential resources in the process of forming new knowledge about basic physical principles and approaches to the study of processes in living nature, physical and technical principle of the functioning of devices, the use of mathematical methods in research. Solving professionally oriented tasks and performing laboratory work in physics improves the quality of the professional component of education. The priority of computer models is that the process of their perception takes place in the same way as the process of perception of real objects, increasing the success of learning. The authors carried out an experimental test on the effectiveness of implementing the proposed pedagogical software products in the educational process in physics. The article presents the results of experimental research at the Volodymyr Vynnychenko Central Ukrainian State Pedagogical University, which showed positive changes in the attitude of students to the study of physics.
The Priority 4 at Brazilian Digital Health Strategy 2020-2028: analysis from the nurse's perspective

In the world and in Brazil, the digital health strategy is underway and it is necessary, at least, to know the demands for new skills of the nurse in the clinical encounter mediated by digital technologies.
LibGuides: StREAM: StREAM

StREAM is part of our Learning Analytics solution. StREAM is part of our Learning Analytics solution.