Reviewerly/exHarmony huggingface dataset:
Future Chinese Migration and Emotional Care: WeChat Based Mini-Program Solution for Mental Care Service and Toolkit to Help Cope with Loneliness

For the migrants who left the place they were anchored to, the meaning of resettling is much more than the physical transition from one place to another. The journey of migration is also a process of transformation, during which people went through the self-deconstruction and reshape on many levels. For those who went across borders to the Netherlands in their early twenties to study or work, building a new life also means making an adjustment to a new reality where new information, values, cultural norms and social relations flooded in. This process may be filled with excitement and freshness for people who are able to respond positively to the adjustments, while the majority of people have a mixed experience of challenging, overwhelming, stressful or even traumatising situations. In the case of young Chinese migrants in the Netherlands, because of the unique cultural identity brought by history and the Chinese social system, their emotional struggles in the western world are relatively particular and obscure. This graduation project focused on developing a new vision towards migration for client NPC(NextPort Chine) and a design based on this vision. This is formulated in the assignment: Designing a product(or service system) based on research outcomes of the emotional needs of Chinese migrants who are deciding to make or have already made a decision to stay in the Netherlands, by 2025. ViP(Vision in Product Design) method was applied to build a future CHN-NL migration context and define the interaction method in this project. This future context was shaped by two overall determining driving forces and seven sub driving forces. Twelve cases in which people struggle personally or socially during the migration journey were finally revealed. After evaluating if the twelve cases were meaningful, in line with company scope, and potential to be developed into a functional product, two of the cases were finally chosen to be targeted design goal: Goal A: To help people restore their inner balance again after the impact of the migration process when people’s inner reality is confronted which can cause a psychological imbalance. Goal B: To help people make peace with loneliness. After defining the ways of accomplishing the two design goals, two design solutions were then proposed to realise each of the design goals. Generated from Goal A, a mental care mini-program embedded in WeChat Application was designed to help with emotional struggles among young Chinese migrants to the Netherlands. Both peer support and access to professional mental therapy were provided to reduce the psychological imbalance. Generated from Goal B, a toolkit including deconstruction of the feeling of loneliness and a zine of loneliness objects was designed to help people cope with the emotions and rebuild self-esteem. Apart from evaluating the final outcome, suggestions for further design improvements and recommendations for future implementation were given in the last chapter.
Illustration and Detection of Exception Handling Bad Smells

Code smells signal that something is wrong in the source code that requires immediate attention. Over the years, many research studies have been carried out in this field using various tools and techniques. Exception handling is a powerful mechanism for handling run-time errors, which improves the robustness to enhance software's quality. However, exception handling design problem is the least explored research area that requires sincere intervention. It is often ignored by the developers, thereby having a negative impact on the software concerning reliability, maintainability, etc. In order to understand the exception handling design smells, nine different types of smells, namely careless cleanup, dummy handler, empty catch block, exception thrown in finally block, nested try statement, unprotected main, return code, ignored checked exception and catch clause as spare handler in java have been illustrated to provide a clear view of these smells with the help of the proposed design template. This design template will help software practitioners understand exception handling bad smells more efficiently. The suggested refactoring can further be applied to improve the source code and hence software maintainability.
Social Specific Image: Format of Methodology and Auditing

The modern period of demand for image-logical knowledge allows raising questions not only about image-enlightenment and image-education, when information and telecommunication technologies become the determining factors in the development of society, but also about the peculiarities of teaching image-logical knowledge in higher educational institutions. At this stage, there is also the need to introduce the scientific and applied direction of the discipline “Imageologyˮ, as a component of social education, into the system of training specialists for a wide range of professions in the “person-to-personˮ sphere. The article explores a number of innovative approaches to teaching a special educational course “Imageologyˮ for students of humanitarian and social profiles. The article contains an analysis of scientific studies of the main methodological principles, tasks and parameters of the development of imageology as a practice-oriented sociological direction in the context of the training of Masters and specialists, sociologists, psychologists, journalists, advertising and public relations specialists. The authors identified the most important ways and directions for the formation of the sociology of the image, determined the subject and purpose of the discipline. For seminars and practical classes, as well as for students &amp;#x27;independent work, specialized scientific topics, an original image analysis questionnaire scheme are offered, and scenarios of specific events and actions in image creation are modeled for the development of students&amp;#x27; professional and creative abilities.
Research and Course Guides: Web Content: Library Help in Canvas

Web content guides and templates for Library Research and Course Guides and more relating to code, content, and accessibility
Delegating signing rights in a multivariate proxy signature scheme

In the context of digital signatures, the proxy signature holds a significant role of enabling an original signer to delegate its signing ability to another party (i.e., proxy signer). It has significant practical applications. Particularly it is useful in distributed systems, where delegation of authentication rights is quite common. For example, key sharing protocol, grid computing, and mobile communications. Currently, a large portion of existing proxy signature schemes are based on the hardness of problems like integer factoring, discrete logarithms, and/or elliptic curve discrete logarithms. However, with the rising of quantum computers, the problem of prime factorization and discrete logarithm will be solvable in polynomial-time, due to Shor's algorithm, which dilutes the security features of existing ElGamal, RSA, ECC, and the proxy signature schemes based on these problems. As a consequence, construction of secure and efficient post-quantum proxy signature becomes necessary. In this work, we develop a post-quantum proxy signature scheme Mult-proxy, relying on multivariate public key cryptography (MPKC), which is one of the most promising candidates of post-quantum cryptography. We employ a 5-pass identification protocol to design our proxy signature scheme. Our work attains the usual proxy criterion and a one-more-unforgeability criterion under the hardness of the Multivariate Quadratic polynomial (MQ) problem. It produces optimal size proxy signatures and optimal size proxy shares in the field of MPKC.
LibGuides: Using Permalinks Guide: Permalinks to Articles in EBSCO/Academic Search Premier

This guide is meant to explain why and how to use permalinks for the catalog and high use databases.
Applied Approach and Framework for HCI Research

The chapter presents the specific applied approach to HCI research, including an illustration from the literature. The latter explores interspecies sense-making in the context of dog-tracking and in the light of multi-species ethnography. The chapter presents the specific applied framework for HCI research comprising applied as discipline, general problem, particular scope, research, knowledge and practices. The specific applied framework is followed by the applied design research exemplar, as the applied design cycle and the applied design research cycle. The lower-level applied framework comprises the applied application, the applied interactive system, and the applied interactive system performance. Both the exemplar and the lower-level framework are applied to the same illustration of the applied approach taken from the literature, which explores interspecies sense-making in the context of dog-tracking and in the light of multi-species ethnography.
A Pioneering and Streamlined Pixel Based Approach of Hyperspectral Image Classification for White Blood Cell Using Convolution Neural Network

In medical field its necessary to do cell classification as its purpose helps in diagnose,treatment and control of major diseases especially the white blood cells classification, it helps in serving the purpose.Rather than visually inspecting microscopic images more accurate and fast diagnosing methods are available  which includes automation segmenting for classifying microscopic white blood cells samples, in this paper segmentation is done using proposed methods which provide accurate result by integrating some digital image processing algorithms.In the process it involves to pre-process the data which consist of microscopic blood smear sample and then the pre-processed image is classified using the algorithm.In the proposed model it is better than traditional approach because it includes the information like spatial and spectral data which is combined with hyper-spectral imagery and microscopic imaging.This paper is proposed for blood-cell classification framework which is coalition of modulated Gabor operator and Convolution nueral network kernels is also called as MGCNN.In this method for each convolution layer dot product of gabor operator and initial CNN kernel is taken which results in transforming the CNN kernels into recurrence area to cause it to learn features,the highlights learned by tweaked gabor as for various frequencies and directions empowers it to be more point by point and more classifiable. The proposed method performance turn out to be better than the traditional convolution neural networks and SVM approaches especially in cases of small training data-set the proposed methods is still more efficient.
Networked Comprovisation Stratagies with ZScore

ZScore is a networked notation system for mixed ensemble composition and performance. This paper describes recent system developments towards a platform for comprovised music making. The long-term project objective is to provide an inclusive, democratised music-making environment by utilising technology that enables distributed decision making, dynamic notation processing and visualisation. It is proposed that all music is the outcome of a decision-making process that can be represented on the spectrum between immutable static and real-time dynamic decision making. Networking technology can act as an enabler for moving the dial on this decision-making spectrum in a required direction. Furthermore, a definition of a networked notational perspective is outlined, covering the dynamic aspects of distributed notation for heterogeneous clients. Several strategies for dealing with dynamic notation visualisation and control are presented, such as the dynamic performance parameter processing and embedded scripting. Finally, this paper presents the results from recent user trials and plans for future developments.
Research Guides: Working from Home: Home

This guide brings together resources from The Evergreen State College Library collections and elsewhere in order to facilitate professional development and well-being for work-from-home employees.
LibGuides: Science - Year 8 - First Hand Investigation: Task Details

A selection of resources to support Year 8 Science students to complete their assessment task.
Fuzzy Evaluation Model for Oral English Test Based on Automatic Scoring System

With the rapid development of the mobile Internet, the design of a fuzzy evaluation model for spoken English based on an automatic scoring system has become a research hotspot in the field of spoken English testing at home and abroad. This article focuses on the current spoken English evaluation problems in English learning and analyzes the characteristics of English pronunciation. On the basis of the characteristics of speech prosody, a speech evaluation model based on fuzzy comprehensive evaluation is proposed. At the same time, the method is transplanted and an automatic spoken evaluation system based on the Android platform is implemented. One of the key points of the automatic labeling system is the selection and extraction of prosodic features and acoustic parameters. This paper improves the automatic labeling of accents by improving the corresponding rules of prosody and acoustic parameters. The introduction of the Co-training algorithm greatly reduces the amount of manual labeling, and realizes automatic labeling of prosody with minimal labeling. In this paper, a detailed performance analysis and experimental comparison of the improved voice evaluation model are carried out through Matlab simulation experiments. The improved model is highly efficient and practical. Finally, the improved voice evaluation model was transplanted to the Android platform, and a voice evaluation system based on the cloud platform was designed and implemented. In this paper, the evaluation effect of the system was tested by experimenters. The experimental test showed that the agreement of the test expert evaluation reached 95%. Therefore, the model established by selecting characteristic parameters based on prosodic features has a better evaluation effect.
Implementing 'The Enclosing Dark': A VR Auditory Adventure

35th Annual Assistive Technology Conference Scientific/Research Proceedings, San Diego, 2020
Bringing genomics research to the cloud: a qualitative case study of genomics cloud computing adoption

Current advances in genomics technology can generate more throughput data per run than before while the cost per pair of the throughput is decreasing. The most common problem for genomics researchers is to handle the large quantity of biological data. One of the solutions currently taking place is to move from in-house computing infrastructure into cloud-based services that can be accessed through the internet. Despite many benefits associated with cloud computing, many scientists still resist fully utilizing the technology. Few studies have been done to investigate the factors that influence the genomics researcher’s decision to adopt cloud computing as well as to understand the drivers and constraints of cloud computing adoption in genomics research settings. The primary objective of this study is to assess the factors that affect the adoption process of cloud computing into genomics laboratories. Specifically, the study aims to understand the adoption process and factors that lead genomics researchers to adopt cloud computing and identify drivers and constraints during the three sequenced stages of the adoption process. To achieve the objectives of this study, a case study of a group of genomics researchers who are in the process of adopting cloud computing infrastructure has been analysed. This study identified influential factors which are characterised by the technology, organisation, environment and individual in pre-adoption, implementation and post-adoption stages. The findings illustrate that cloud computing adoption was driven and constrained by factors interacting and interplaying with the process of adoption. Based on the findings, a framework of factors influencing adoption process of cloud computing was developed. These findings have important implications and great value to the research community, genomic researchers, genomic laboratories and organisations, and cloud computing enablers and providers, to understand the adoption process of cloud computing in genomic research settings. The findings are expected to assist them to play a more active role in the adoption of cloud computing to improve the transition process. The overall framework of adoption process presented in this study helps to formulate better strategies for cloud computing adoption.
PEMANFAATAN MEDIA PEMBELAJARAN DALAM MENINGKATKAN AKTIVITAS BELAJAR SISWA KELAS V DI SDN SEROJA

This study aimed to determine the use of instructional media to increase students' learning activities at grade V SDN Seroja.This research used qualitative methods using three data collection techniques, namely observation, interviews, and documentation.The results of this study indicated that the teacher was able to utilize learning media in the learning activity.It was observed that in the process of utilizing instructional media, the teacher first compiled the lesson plans, learning materials selections, the use of learning media, students' responses and the process of assessing learning activities so that students were able to receive the results of the process of using learning media.Then, in learning activities, the students could understand the learning material better; the students had meaningful experiences; and their learning activities increased.Thus, this learning media increased the students' learning activities.
Creating Maps in R (Case Study: National Park “Fruška Gora”)

Summary This paper aims to present the possibilities for creating maps in the programming language R. Even though R is primarily developed as a statistical program, its application in the area of mapping and spatial statistics is becoming frequent and highly relevant. Many R packages make the mapping process easier and user-friendly, and this paper presents the most commonly used ones: “leaflet”, “ggplot2” and “ggmap”. The selection of the R package depends on the user’s proficiency in R programming but also depends on the visual quality of the map the user wants to gain. Based on the questionnaire conducted in this research, the paper recommends application of the “leaflet” package for the beginners, the “ggplot2” package for medium proficient users, and the “ggmap” package for the most advanced R users. After creating maps in R it is possible to conduct additional analysis related to processing of the spatial data contained within, and this would be a recommendation for future research. In this paper, the mapping process is demonstrated on the case study of the National Park “Fruška gora” in Serbia, and different types of maps are presented.
Autonomous Multi Drone Based Border Security Using Image Processing With 5G Technology

Today, there is a developing requirement for observation so as to keep up the dignity at a spot and guarantee the wellbeing and security of its kin. An airborne observation framework will be advantageous in such a manner. This paper depicts how an ethereal reconnaissance framework can be assembled utilizing an unmanned flying vehicle or an automaton. We start by depicting the highlights of our ethereal observation framework and afterward talk about a portion of the advances that we have utilized in building it. From that point onward, we notice how we have consolidated those innovations into an automaton and have made them cooperate amicably so as to accomplish our goal. This goal will be achieved with the help of cloud services and cellular service using 5G technology. It tends to be utilized in peacekeeping exercises and furthermore constant observing of a spot whenever of the day. The point is to give quick and productive reconnaissance at a moderate rate with the goal that it tends to be utilized broadly at the private, institutional and administrative levels.
Copyright offenses and their classification: national and international experience

Issues of copyright and related rights infringement as well as liability are analyzed in this article in the framework of modern world and Uzbekistan in particular.
LibGuides: Guided Pathways: Business

This guide will outline the ways in which the library can support Guided Pathways efforts at Moreno Valley College.
LibGuides: Prison Librarianship: The Prison Librarian

A repository for information about prison libraries, and about serving the incarcerated as a prison librarian
A real-time High-Quality image snow removing using Adaptive Matched filter

On this paper, we advocate a green set of rules to remove snow or rain from single color photograph. Our set of suggestions takes benefit of famous strategies employed in photograph processing, specially, dictionary studying &amp; image decomposition. At the beginning, a mixture of guided smooth out &amp; snow/rain detection is utilized to decompose input picture right proper into a harmonizing pair: (1) low-frequency element, which is free of rain nearly in truth and (2) immoderate-frequency difficulty, which includes now not superb snow/rain problem but moreover a few or probably many data of photo. Then, we hobby on extraction of photograph’s are information from excessive-frequency detail. To this save you, we lay out a 3-layer hierarchical system. In the number one layer, an over-whole vocabulary is skilled and 3 categorizations are completed to categorize immoderate-frequency trouble into snow/rain &amp;non-rain/snow additives wherein a few common tendencies of rain/snow have been applied. Inside the 2d one layer, every other grouping of guided filtering &amp; snow/rain detection is finished at snow/rain detail attained inside primary layer. In 1/3 layer, SVCC is calculated to decorate visible high-quality of snow/rain-eliminated image. The efficiency of our set of guidelines is examined thru each subjective and goal strategies, which indicates a superiority over several extremely modern day works.
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality

Designing off-policy reinforcement learning algorithms is typically a very challenging task, because a desirable iteration update often involves an expectation over an on-policy distribution. Prior off-policy actor-critic (AC) algorithms have introduced a new critic that uses the density ratio for adjusting the distribution mismatch in order to stabilize the convergence, but at the cost of potentially introducing high biases due to the estimation errors of both the density ratio and value function. In this paper, we develop a doubly robust off-policy AC (DR-Off-PAC) for discounted MDP, which can take advantage of learned nuisance functions to reduce estimation errors. Moreover, DR-Off-PAC adopts a single timescale structure, in which both actor and critics are updated simultaneously with constant stepsize, and is thus more sample efficient than prior algorithms that adopt either two timescale or nested-loop structure. We study the finite-time convergence rate and characterize the sample complexity for DR-Off-PAC to attain an $\epsilon$-accurate optimal policy. We also show that the overall convergence of DR-Off-PAC is doubly robust to the approximation errors that depend only on the expressive power of approximation functions. To the best of our knowledge, our study establishes the first overall sample complexity analysis for a single time-scale off-policy AC algorithm.
LibGuides: Music Studio Specific Resources: Keyboard

These resources are highlights from our collection and are all available right now at CWU Brooks Library! Arranged by studio.