Reviewerly/exHarmony huggingface dataset:
근거이론분석을 이용한 관광산업 여성종사원의 직업적응과정에 대한 연구: 경력확립기 및 유지기에 있는 2년 이상의 경력자를 중심으로

This study aims to present solutions to female employees in the tourism industry by examining their vocational adaptation process through the ground-based theory analysis and studying what difficulties they are experiencing in the vocational adaptation process. To this end, a total of 40 people working in the tourism industry were interviewed for 40 minutes to one hour from November 2019 to March 2020. Studies have shown that female employees in the tourism industry, who have more than two years of careers, go through a vocational adaptation process in four stages. Expectations played an important role especially when choosing a job, and self-efficacy, such as encouragement and praise from people around them, and positive thinking and pleasure, played an important role in adapting to a job. In particular, as a result of the analysis of the types of paradigm models, there were two types of career development and self-realization, with those working in the MICE and casino sectors belonging to the career development type, while those working in the hotel and travel agencies were found to have high self-realization type. In response, companies should provide various job experience opportunities, such as various support and job circulation, so that they can be used as a venue for self-development without being bored to ensure employment feasibility for job adaptation and minimize job insecurity.
AI for new ADAS user interfaces: Opportunities through collaboration or risks?

Artificial Intelligence (AI) offers great potential for ADAS, not only for the enhancement of core functionality, but also for huge improvements of the user interface by using speech or gesture recognition.
A Genetically Based Combination of Visual Saliency and Roughness for FR 3D Mesh Quality Assessment: A Statistical Study

Abstract In this paper, we present a full-reference quality assessment metric based on the information of visual saliency. The saliency information is provided under the form of degrees associated to each vertex of the surface mesh. From these degrees, statistical attributes reflecting the structures of the reference and distorted meshes are computed. These are used by four comparisons functions genetically optimized that quantify the structure differences between a reference and a distorted mesh. We also present a statistical comparison study of six full-reference quality assessment metrics for 3D meshes. We compare the objective metrics results with humans subjective scores of quality considering the 3D meshes in one hand and the distorsion types in the other hand. Also, we show which metrics are statistically superior to their counterparts. For these comparisons we use the Spearman Rank Ordered Correlation Coefficient and the hypothetic test of Student (ttest). To attest the pertinence of the proposed approach, a comparison with a ground truth saliency and an application associated to the assessment of the visual rendering of smoothing algorithms are presented. Experimental results show that the proposed metric is very competitive with the state-of-the-art.
Research on Integration of Multimedia Computer Technology and Teaching Chinese as a Foreign language

With the rapid development of multimedia computer technology, the combination of multimedia computer technology and teaching has increased, and it has been widely used in the course of teaching Chinese as a foreign language, especially during the COVID-19 pandemic. In the development of teaching Chinese as a foreign language, multimedia technology plays an important role in integrating resources, highlighting details in classrooms, stimulating students’ interest and promoting students’ expression skills. The application of multimedia computer technology can bring convenience to teachers and overcome the drawbacks of traditional teaching models. At the same time, the modern teaching methods make full use of the excellent characteristics of computers, which has made teaching Chinese as a foreign language more interesting and accessible to a certain extent. This paper mainly illustrates the status quo of applying multimedia technology in teaching Chinese as a foreign language, and based on practical situations, offers the integrated mechanism of combining multimedia computer technology and the course of teaching Chinese as a foreign language, thus promoting the in-depth development of the course of teaching Chinese as a foreign language.&#x0D; Keywords: Multimedia, teaching Chinese as a foreign language, curriculum, integration.
Blockchain and Regulation: The Legal World

As blockchain entered the world with new possibilities concerning data and financial instruments, it has taken decision makers a lot of time to consider the technology and introduce regulation that is both relevant and necessary to protect people from this technology. This chapter includes a short introduction to the major concepts that are currently being debated when it comes to the distributed ledger technology.
Overview of Topic Detection and Tracking of Methods for Microblogs

There are still relatively few research studies on topic detection and tracking of microblogs. Traditional methods applied to microblogs cost too much calculation and the rate of accuracy is low. Therefore, combined with characteristics of large data of documents, short single documents, few hot topics and colloquial contents, the article studies and fulfills methods of topic detection and tracking of microblogs.
ABOUT INTERDEPARTMENTAL INTERACTION IN THE FIELD OF FORMATION OF THE PREVENTIVE ENVIRONMENT IN EDUCATIONAL ORGANIZATIONS IN THE TERRITORY OF VORONEZH REGION

An informational and educational model of interagency cooperation has been scientifically substantiated and developed in terms of the formation of a preventive environment in educational institutions in the territory of the Voronezh region, which involves combining the efforts of the education system, healthcare, the public and special structures involved in solving health problems. The implementation of the project in the educational process has brought positive results in the formation of children's skills of maintaining and strengthening health, and has led to the reassessment by children of their lifestyle in connection with a change in their ideas about a healthy lifestyle and its role in maintaining health.
Innovative Technologies in the Formation of Methodological Equipment for Future Primary School Teachers in the Field of Education Quality Assessment

The success of education reform initiated at the state level is largely determined by the teacher's personal attitude to innovations, their theoretical, methodological and practical orientation. Another group of reasons for the modernization of education are socio-pedagogical changes in the system of General secondary education, which occur in the context of transformations caused by the new socio-technological revolution.
Key pedagogies in design and technology

This chapter outlines key pedagogical approaches in design and technology. Exploring the transformative nature of the subject and the fundamental activities of ideation, realisation and critique, it identifies four signature pedagogies, designing and making, mainly making, mainly designing and exploring technology and society. The chapter encourages student teachers to critically engage with a range of pedagogical approaches, from demonstration to open-ended design activities, considering the potentially expansive or restrictive nature and impact of their choices. It considers the benefits and limitations of approaches to teaching whole classes, groups and individuals, challenging preconceptions and the use of a limited range of approaches. In addition, the implications for managing the design and technology classroom are explored, including extended projects and the challenges of supporting individuals designing, making and evaluating solutions to design problems. The chapter is underpinned by theory, including direct instruction and scaffolding, asserting that design and technology knowledge (and therefore pedagogy) is action-orientated.
Security Analysis of Public Security Terminal Network and Its Peripheral Equipment

Abstract As a major focus of global Internet security, peripheral equipment security is getting more and more attention. Due to the serious asymmetry between the high access level and the low protection level of the public security network and its peripheral equipment, it is very easy to be attacked by hackers. This paper briefly describes the Internet of things access technology, introduces the public security terminal network interconnection access mode and part of the network topology. Based on the preliminary analysis of the security of the software and hardware of the public security terminal network and its edge equipment, this paper analyzes the security of the public security terminal network and its peripheral equipment for the subsequent security design, to ensure the reliability of the public security terminal network and its peripheral equipment, and to strengthen the network security of the public security terminal network.
LibGuides: Campus Study Spaces: Martin Institute

Find places to study or to take a class remotely in one of the many spaces available on campus.
DengueCBC: Dengue EHR Transmission Using Secure Consortium Blockchain-Enabled Platform

In the last decade, world has faced a lot of troubles in terms of epidemics. Dengue infection is one of the cruelest of such epidemics that has already taken a large number of human lives. Citizen who survives after getting infected by Dengue virus, often suffer from severe side effects that largely impacts their lives, minds, and social interference. Researchers have imparted various notions of methodologies toward care, cure, and management of such patients. But, due to some social obligations and lack of awareness, the information about dengue infection in a particular geolocation gets hidden from the citizen. Administration and associated agencies seem to be reluctant in facilitation of dengue related information. Thus, creating a dangerous situation for the affected zone of dengue. Most of the cases, the information about the dengue affected patients is leaked, damaged, or lost while transferring from hospitals, clinics, or diagnostic centers to the local, regional, national, or global administration agencies. In this paper, we propose a novel system model to minimize the loss or leakage of such valuable information in form of electronic health record by using consortium blockchain platform. The proposed system model, i.e., DengueCBC is envisaged to leverage possible improvement in the current scenario of loss or damage of dengue specific electronic records. The proposed model enables the health clinics to securely transfer the dengue health record in electronic form to administration health agency. The process of such transmission is proposed to be highly secure, robust, tamper-proof, and immutable in nature. Stakeholders having decentralized ledger technologies can get associated with the proposed model to get transparent information about the dengue-based electronic data transmission. Thus, the system model encompasses a new way of catering dengue data transmission in more advanced fashion. We further perform comparison between DengueCBC and existing literature to prove the effectiveness of this model. Lastly, we present some open issues related to the proposed system model and other related works that could be mitigated by implying the prescribed future directions.
Automated Physics Based Animation of Fonts

We present a new method for automatic font animation, where the outlines of one or more glyphs are automatically segmented into sets of curves that can be efficiently controlled over time. This segmentation takes into account the directionality of similar segments, and allows arbitrary levels of subdivision. We showcase different examples of physics-based effects that can be driven by motion sensors in mobile devices to achieve novel and engaging text experiences. Our method works over existing off-the-shelf fonts, enabling new automatic text-based effects previously requiring lots of manual work.
Research Guides: Using InterLibrary Loan (ILL) in your ENGL, CWL, CLSC Classes: Interlibrary Loan (ILL)

For Dr. P.'s classes, this guide has helpful tips and steps to using interlibrary loan (ILL) This page provides current updates to our CSULB interlibrary loan (ILL) services, including CSU+, Link+, and BeachReach.
Sentiment analysis of behavioural attributes for effective supply chain relationships: a fuzzy goal-setting approach

Sentiments expressed through social media can reflect behavioural attributes of trust, commitment, collaboration, and information sharing between or among actors in supply chain management (SCM) relationships. These four attributes are generally considered to enhance SCM performance if each is at a high level. In this study, sentiment mining was undertaken using three different web crawler algorithms focusing on blog, forum, and Twitter sources. After classifying the mined sentiment data, scores were evaluated using a fuzzy model to address uncertainty and ambiguity. The least degree of fit of each attribute and combination of attributes was determined by industry for pharmaceuticals, software, retailing, and healthcare. Results indicate that the importance attributed to levels of interactions for the behavioural attributes necessitated in SCM relationships differs for the industries studied. However, overall, the most consequential attribute seems to be trust between the individuals involved. This work contributes to SCM research through the utilisation of techniques to focus on human attributes for decision making that may improve SCM performance; specifically for the industries studied.
Geometric Rational Inattention

We demonstrate that a wide class of Rational Inattention (RI) problems can be re-cast as a set of geometric orthogonality conditions. This approach allows us to separate the role of information costs and payoffs from that of prior beliefs. It also allows us to characterize the optimal conditional choice by what we call the ignorance equivalent action (IEA) of a menu. We use the IEA to derive novel comparative statics for changes in the menu. Finally, it serves as the foundation for our new, highly efficient numerical algorithm for the solution of these models: Our algorithm provides accurate solutions orders of magnitudes faster than current techniques.
Forecasting East Asian Tourist Arrivals to Thailand with Adaptive Neuro-Fuzzy Inference System

Objective - This research aims to propose the approach of forecasting tourist arrivals to Thailand. Methodology/Technique – Adaptive Neuro-Fuzzy Inference System (ANFIS) was used as our forecasting method by using fuzzy C-means clustering as a technique for the partitioning training dataset Findings - The appropriate parameter of time lag was found for each dataset of East Asian tourist arrivals to Thailand. Novelty - The forecasting procedure with the appropriate parameter of time lag was represented our work as a novelty idea. Type of Paper: Empirical. Keywords: Tourist arrivals forecasting, East Asian countries, adaptive neuro-fuzzy inference system, fuzzy C-means clustering, Takagi–Sugeno fuzzy inference system.
Slack Feedback Analyzer (SFbA)

Using Slack for communication and teamwork is a common practice in the IT industry. It provides multiple Application Program Interfaces (APIs), which help developers significantly in writing a set of routines and protocols for software. IT companies conduct various sessions to educate, and to motivate their employees. The quality of those sessions can be improved by taking feedback and act accordingly. Slack APIs can be useful in taking such feedback. To simplify the feedback collection method, we came up with the ‘Slack Feedback Analyzer (SFbA)’, which collects feedback on session content as well as presenter’s presentation skills and the knowledge expertise on that topic. With the help of this application, we are presenting the most common keywords, audience focused on, and the number of positive, negative, and neutral feedback.
Research on the Planning of Cultural Identity in College English Education since Reform and Opening-Up

Cultural identity is a sense of group cultural identity, a sense of personal consciousness influenced by group culture. The recognition of cultural identity can undermine a country's political system and national cohesion. People's strong recognition of their own culture is conducive to the integration of national cohesion and the establishment of a national spirit.
Transferring Complementary Operating Conditions for Anomaly Detection.

In complex industrial systems, the number of possible fault types is uncountable, making it impossible to train supervised models covering them all. Instead, anomaly detectors are trained on healthy operating condition data and raise an alarm when the data deviate from the healthy conditions, indicating the possible occurrence of faults. Data-driven anomaly detection performance relies on a representative collection of samples of the normal (healthy) class distribution. This means that the samples used to train the model should be sufficient in number and distributed so as to empirically determine the full healthy distribution. But for industrial systems in gradually varying environments or subject to changing usage, acquiring such a comprehensive set of samples would require a long collection period and delay the point at which the anomaly detector could be trained and operational. In this paper, we propose a framework for the transfer of complementary operating conditions between different units, to train more robust anomaly detectors. The domain shift due to different units' specificities needs to be accounted for. This problem is an extension of Unsupervised Domain Adaptation to the one-class classification task. We solve the problem with adversarial deep learning and replace the traditional classification loss, unavailable in one-class problems, with a new loss inspired by a dimensionality reduction tool. This loss enforces the conservation of the inherent variability of each dataset while the adversarial architecture ensures the alignment of the distributions, hence correcting the domain shift. We demonstrate the benefit of this approach using three open source datasets.
COMPARISON OF RAYLEIGH WAVE CHARACTERISTICS ON SUPERCONDUCTING GRAVIMETER AND SESIMOMETER LHZ RECORDINGS

The vibrations of an earthquake can be properly recorded by the gravimeter. As a Gravimeter, Superconducting Gravimeter (SG) has a very high accuracy; slightly different with general gravimeter. Rayleigh wave is the wave with the largest amplitude in earthquake, so it will be clear on SG tape. In this research, we use certain superconducting gravimeter (SG) and Seismometer LHZ, spread over several locations around the world; just to know more about Mw &gt; 6 earthquake. Tidal value reduction were applied on SG’s recording in order to get true gravity value. Then we did time-integral to get velocity and displacement. By using spectrogram function, we can display frequency of SG and LHZ. The amplitude of the Rayleigh wave recorded on the SG is smaller than that recorded on the LHZ and has signal correlation &gt; 7.0. In any case of Rayleigh Global waves, SG is able to record clearly the phase of Rayleigh wave to R7 phase. While LHZ only records up to the R5 phase. The spectrograph analysis reinforces the differences in the viewing screens of SG and LHZ Rayleigh Global waves in the frequency domain, R7 recorded on SG has a frequency range of 0.002 Hz to 0.006 Hz. Based on the results of Rayleigh wave analysis on the SG record and its comparison with the LHZ record it can be concluded that SG has a high level of sensitivity and stable when recording Rayleigh waves .
LibGuides: Campus Study Spaces: Shields Science Center

Find places to study or to take a class remotely in one of the many spaces available on campus.
Overcoming Impossibility Results in Composable Security using Interval-Wise Guarantees.

Composable security definitions, at times called simulation-based definitions, provide strong security guarantees that hold in any context. However, they are also met with some skepticism due to many impossibility results; goals such as commitments and zero-knowledge that are achievable in a stand-alone sense were shown to be unachievable composably (without a setup) since provably no efficient simulator exists. In particular, in the context of adaptive security, the so-called “simulator commitment problem” arises: once a party gets corrupted, an efficient simulator is unable to be consistent with its pre-corruption outputs. A natural question is whether such impossibility results are unavoidable or only artifacts of frameworks being too restrictive.
Archer Library: New Faculty Orientation 2021: Home

Welcome to the University of Regina! This guide will link you to the resources from the Dr. John Archer Library that were introduced during the 2021 New Faculty Orientation (August 23-24).
A Survey of Water Droplet Recognition Algorithms on Object Surface

Abstract The recognition and extraction of water droplets on object surface have important practical application value. This article focuses on summarizing the different water droplet recognition segmentation algorithms, mainly based on threshold, edge detection, region and morphology segmentation, and clustering and special model-based segmentation algorithms. Then, some shortcomings of the current algorithms are analyzed and the future research direction is prospected.
Does History Matter? Using Narrative Context to Predict the Trajectory of Sentence Sentiment

While there is a rich literature on the tracking of sentiment and emotion in texts, modelling the emotional trajectory of longer narratives, such as literary texts, poses new challenges. Previous work in the area of sentiment analysis has focused on using information from within a sentence to predict a valence value for that sentence. We propose to explore the influence of previous sentences on the sentiment of a given sentence. In particular, we investigate whether information present in a history of previous sentences can be used to predict a valence value for the following sentence. We explored both linear and non-linear models applied with a range of different feature combinations. We also looked at different context history sizes to determine what range of previous sentence context was the most informative for our models. We establish a linear relationship between sentence context history and the valence value of the current sentence and demonstrate that sentences in closer proximity to the target sentence are more informative. We show that the inclusion of semantic word embeddings further enriches our model predictions.
생명과학 VR 콘텐츠의 언어정보 제시방식에 따른 주의집중 분석 - 시선추적 연구 -

Virtual Reality (VR) has been applied to the educational fields as an effective visual material to evoke attention of the students. The purpose of this study is to analyze the pattern of visual attention based on how language information is presented when students are learning using VR content. Visual attention as measured using eye tracking and twenty-three junior high school students were participated in this study. It has been showed a higher value of fixation number and attention switching value when the text type as language information was presented in life science VR contents. In addition, the average fixation duration was increased when the narration type of language information was used for life science VR contents. Based on the results, the type of language information in life science VR contents can be confirmed to evoke learner''s visual attention, such as selective attention, attention switching, and sustained attention. In Addition, this study may presumably provide the design of language presentation type utilizing VR contents in life science education.