Reviewerly/exHarmony huggingface dataset:
Schwinger effect of quantum steering for Gaussian states in an electric field

Abstract In the work, we study the quantum steering for a continuous-variable two-mode squeezed vacuum state shared by Alice and Bob, where Bob's mode experiences a Schwinger effect of a constant electric field. We find that the steering between Alice and Bob decreases with the increasing of the electric field, at the same time the steering between Bob and Anti-Bob is generated. The steering from Alice to Bob results in “sudden death” in the decreasing process, while the steering from Bob to Alice can survive forever. In the production of the steering between Bob and Anti-Bob, the steering from Anti-Bob to Bob shows “sudden birth”, while the steering in the opposite direction is asymptotical. More importantly, we find that the “sudden death” and “sudden birth” appear at the same parameter point, where the steering difference reaches the maximum and the steering transforms between one-way and two-way steering. Moreover, we investigate the case of pulsed electric field, and make a comparison with the case of constant electric field.
Fast and high-precision 3D face scanning system based on infrared fringe projection

In order to improve the accuracy of face recognition, we propose a fast and high- precision 3D face scanning system based on infrared fringe projection, which can achieve fast and high-accuracy acquisition of 3D faces.
A Longitudinal Analysis of Traffic-Violation Behaviours among Two Groups of Motorcyclist in Bandung, Indonesia

&#x0D; &#x0D; &#x0D; The capability and limitations of car drivers or motorcyclists are believed to change over time as a response to external and internal triggers. As a fact, studies regarding behaviour of young motorcyclists from developing countries are very rare while motorcyclists from developed and developing are believed as different. This study aims to explore the change of behavior of young motorcyclists in committing traffic violations in urban areas from experience in developing countries. Analyses employed datasets collected using questionnaire survey from Bandung, Indonesia from two periods, namely 2010 and 2017. Comparison analyses were completed to compare traffic violations attributes between the two datasets. Two causal models from two data collections were estimated using structural equation modelling to analyse the influencing factors to traffic violations as well as to analyse the relationships of influencing factors, characteristics of motorcyclist, and type of violations. Between the two datasets it is found the difference of the type of violations which implies the change of attitudes in committing traffic violations, while the change of causal relationships is not found in the models. This study confirms the flexibility of behavior change in riding motorcycles between young motorcyclists, while relationships among constructs seem more stable.&#x0D; &#x0D; &#x0D;
Design And Development Of Earthquake Alarm Warning System To Save Human Life Using Arduino Uno Atmega328

Earthquake is a natural disaster that can not be predicted to happen. Earthquakes have a huge effect on human life, causing fatal or materially lost matter. To minimize the occurrence of this loss then made an earthquake alarm warning system. This method used is earthquake vibration data input then analyzed by arduino system. Magnitudes are adjusted to earthquake strength. Sensors that are mounted on the Arduino will transmit a sound digital, with the expectation of humans capable of being able to response of earthquake. The result of this research is the availability of a prototype alarm warning system, which will produce sound to the public when the earthquake occurs.
Vehicle control system based on eye, iris, and gesture recognition with eye tracking

Chapter Contents: Abstract 8.1 Introduction 8.2 Eye tracking 8.2.1 How eye tracker works 8.2.1.1 Screen-based eye tracker 8.2.1.2 Wearable eye tracker 8.2.1.3 Virtual reality headset 8.3 Human gesture 8.3.1 Head movement 8.4 Applications of eye tracking 8.5 Top eye tracking hardware companies 8.6 Case studies 8.7 Conclusion References
Industrial Training Report: University Sultan Zainal Abidin (UniSZA) Library, Gong Badak Campus / Najihah Hussin

The contribution of this assignment is to fulfil the needs of Industrial Training (IMC690) subject. This industrial training report consists of 4 chapters and that are introduction, organization of information, industrial training activities and conclusion. Chapter 1 consist of background of the organization, chapter 2 consist of departmental structure and function. While chapter 3 consists of training activities and special project and the last chapter is chapter 4 which has the conclusion of the report. In order to complete study, industrial training needs to undergo 5 months of practical training in industry starting from 03 February until 30 Jun 2019. The library that has been selected by industrial training is University Sultan Zainal Abidin (UniSZA). There are 3 branch libraries which are main library, Medical Campus and Besut Campus. The important aspect of this report is to study about the management of the organization and the experience of real working environment.
Review on Different Approaches for Speech Recognition System

Programmed acknowledgment of discourse by machines have been an objective of examination for over 4 decades. The thought behind the development of the discourse acknowledgment framework is that it is advantageous for people to cooperate with a PC, robot or any machine through discourse. In the present contemporary, we intend to utilize the voice of individuals with a computerized framework to give solace and adaptability to clients. Discourse acknowledgment depends on the voice signal as the information. It permits the machine to transform the discourse signal into text or orders through the procedure of recognizable proof and comprehension. This paper presents the fundamental thought of discourse acknowledgment, kinds of discourse acknowledgment, issues in discourse acknowledgment, diverse valuable methodologies for include extraction and different example coordinating methodologies for perceiving the discourse of the various speakers. These days, investigate on the discourse acknowledgment framework is roused of the Automatic discourse acknowledgment framework with a huge jargon that underpins speaker-autonomous activities and constant discourse in an alternate language
Optimal Feature Subset Selection for Imbalanced Class Data using SMOTE and Binary ALO Algorithm

Feature selection in multispectral high dimensional information is a hard labour machine learning problem because of the imbalanced classes present in the data. The existing Most of the feature selection schemes in the literature ignore the problem of class imbalance by choosing the features from the classes having more instances and avoiding significant features of the classes having less instances. In this paper, SMOTE concept is exploited to produce the required samples form minority classes. Feature selection model is formulated with the objective of reducing number of features with improved classification performance. This model is based on dimensionality reduction by opt for a subset of relevant spectral, textural and spatial features while eliminating the redundant features for the purpose of improved classification performance. Binary ALO is engaged to solve the feature selection model for optimal selection of features. The proposed ALO-SVM with wrapper concept is applied to each potential solution obtained during optimization step. The working of this methodology is tested on LANDSAT multispectral image
TEACHERS’ ABILITY TO CAPTURE THE CHARACTERS CONTENT IN BASIC COMPETENCIES RELATED TO LITERATURE APPRECIATION LEARNING MATERIALS

Education is an effort to change the attitudes and behavior of a person or group of people into a more mature personality or better. The definition will not mean anything without the real effort of a teacher in the implementation of true learning. In fact, there are still many students who cannot control their emotions, do not know what is good and what is bad. Indonesian Language Subject is a subject that is able to create a positive character for students. Literary works are the right media for these efforts. In Indonesian online dictionaries, literature is freely interpreted as a literary work that contains a description of the life that is compiled by using beautiful language (style of language). Based on the background of the problem of improving the good character of students through the values contained in the literature, the research is conducted with the aim of knowing how are the responses of Indonesian Subject teachers about literary works as a medium for character education for students: (1) whether the teacher is able to capture the character content contained in basic competencies,(2) how much the teacher is aware of the character content in literary works, and (3) what kind of literary works that the teacher chooses in instilling student character education. This research is a study that combines qualitative and quantitative analyzed in a simple way. The research sample was Indonesian Language Subject teachers who were completing their studies at the Open University implementing a distance learning system. This research is beneficial for education in improving students’ character through literary appreciation learning.
Kritik Sosial dalam Novel Laut Bercerita Karya Leila S. Chudori dan Implementasinya Sebagai Bahan Ajar di SMA

Literary works can be social control with various social criticisms contained therein. This study aims to: (1) describe the structure of the novel Laut Bercerita by Leila S. Chudori. (2) describe social criticism contained in the novel Laut Bercerita by Leila S. Chudori. (3) implementing research results from the novel Laut Bercerita by Leila S. Chudori as teaching materials in class XI high school. This research uses descriptive qualitative method. The data used is the story text contained in the novel Laut Bercerita by Leila S. Chudori. Data collection techniques used in this study is to use document review. Data analysis technique is data reduction, data presentation, then drawing conclusions. The results of the study: (1) structural analysis in the novel Laut Bercerita shows the theme presented about the struggle of the activists of the New Order era, there were 34 figures with the main character named Biru Laut, the plot presented was a backward flow, and there was a background in the form of places in several island areas. Java and the City of New York and the time setting shows between 1991-2008. (2) Social criticism in the novel Laut Bercerita includes social criticism about poverty, social criticism about crime, social criticism on population issues, and social criticism on bureaucratic issues. (3) Implementation of research results as teaching materials in the form of handouts containing basic competencies 3.9 Analyzing struckture and language novels and 3.11 Analyzing messages from a fiction book that is read.
LibGuides: OverDrive / Libby: What is OverDrive?

This guide will take a look at OverDrive and give you a general understanding on how it works, what it is, and how you can use it.
THE EFFECT OF DIGITAL READING ON EFL LEARNERS' READING COMPREHENSION

The main objective of the current study is to investigate how digital reading can have an influence on the improvement of EFL learners’ reading comprehension. The sample of this study was comprised of 32 males studying at the Al Mafraq First Basic School for Boys in Jordon. The study participants were enrolled in the 1st semester of the educational session 2020/2021. All the participants were categorized into a couple of groups namely the experimental and control groups whereby the participants in the former group employed digital reading to facilitate their reading comprehension while those in the latter group employed conventional system for this purpose. The effectiveness of both the mentioned methods was assessed by conducting a test. The test outcomes revealed that the reading comprehension of the experimental group outshined that of the control group. A positive outlook of the participants in the experimental group with respect to the use of digital reading was also discovered. Overall, it was concluded that digital reading proved effective in enhancing reading comprehension skills in learners both inside and outside the class.
Research Guides: Standards and Codes at CU Boulder: Find Standards

In this guide, you'll find information about standards and codes at CU Boulder and how to find them; standards issuing organizations, including those that provide free access; as well as how to obtain standards not held by the Libraries.
A Feasibility Study of LiDAR-Enhanced Augmented Reality on a Handheld Device for Collision Detection and Patient Positioning

This study investigates the feasibility of using a commercially available handheld device with augmented reality (AR) cameras, enhanced by light detection and ranging (LiDAR), for pre-treatment collision detection and patient positioning. The on-device LiDAR scanner detects object depths with direct time-of-flight (ToF) measurements, thus improving the accuracy of contrast-based visual depth estimation. Our proposed approach leverages AR for near-real-time reconstruction of patient external contour during simulation and setup. This is advantageous compared with conventional laser-tattoo alignment and photo-based patient position, by providing an intuitive 3D rendering of the patient's body and immobilization devices at arbitrary angles.Two possible modes for AR-assisted positioning were investigated: mesh and point-cloud mode. In mesh mode, surface mesh of a mock pediatric phantom (50 × 40 × 15 cm3) was rapidly reconstructed via the default meshing algorithm from the software development kit (SDK). Resulting 3D contours were manually registered to a computerized tomography (CT) scan of the phantom in a third-party open source image processing suite. For point cloud mode, surface anchor points of the phantom and its supporting devices were detected and placed in the real-world frame of reference, which were subsequently overlaid on the real-time color image. Each handheld scanning session was kept at 30 seconds. The native pulse intervals of 0.2 - 0.5 nsec of the LiDAR scanner were used; depth map was updated at 60 frames per second (fps). Scanning method was kept consistent and mimicked CT scans, with the device camera rotated about the superior-inferior axis pointing towards the phantom. The resolution of the resulting surface mesh and point cloud was quantified. Extent of the volume reconstructed was estimated.The scan and on-device real-time reconstruction were completed within 30 seconds. We successfully extracted the reconstructed mesh and registered that to a CT scan of the phantom. A mean distance of 1.5 ± 1.0 cm between each adjacent vertex was achieved. The point cloud density was on an average 20.9 ± 0.9 points/cm2, with decreased point density 35cm superior to the phantom midpoint (10.0 points/cm2). Both modes captured approximately 4 × 4 × 4m3 volume of the phantom and its supporting structures.AR has emerged as a promising modality for surface guided patient positioning, yet several previous studies have found a lack of sufficient mesh resolution and/or accuracy. LiDAR improves both aspects with directly measured depth information. We demonstrated that sub-cm full 3D rendering of the patient body contour and supporting device is achievable with a handheld device in under 30 seconds, which could provide a viable option for improved guidance on collision check and patient positioning.
Alvin Toffler’s educational viewpoint and its meaning for human resource education and training in Vietnam today

Alvin Toffler is an American futurist who made predictions about the future at a global level. Regarding the education, he believed that it is necessary to create a revolution in education, eliminate the education of the industrial era, renew goals, program content and educational methods in order to equip learners with knowledge, intellectual development and a system of adaptive skills. In this article, the authors took an insight into the system of A. Toffler’s educational viewpoint and clarified its implications for human resource education and training in Vietnam today.
ntust-nlp-1 at ROCLING-2021 Shared Task: Educational Texts Dimensional Sentiment Analysis using Pretrained Language Models

This technical report aims at the ROCLING 2021 Shared Task: Dimensional Sentiment Analysis for Educational Texts. In order to predict the affective states of Chinese educational texts, we present a practical framework by employing pre-trained language models, such as BERT and MacBERT. Several valuable observations and analyses can be drawn from a series of experiments. From the results, we find that MacBERT-based methods can deliver better results than BERT-based methods on the verification set. Therefore, we average the prediction results of several models obtained using different settings as the final output.
Metrology-assisted entanglement distribution in noisy quantum networks

We consider the distribution of high-dimensional entangled states to multiple parties via noisy channels and the subsequent probabilistic conversion of these states to desired target states using stochastic local operations and classical communication. We show that such state-conversion protocols can be enhanced by embedded channel-estimation routines at no additional cost in terms of the number of copies of the distributed states. The defining characteristic of our strategy is the use of those copies for which the conversion was unsuccessful for the estimation of the noise, thus allowing one to counteract its detrimental effect on the successfully converted copies. Although this idea generalizes to various more complex situations, we focus on the realistic scenario, where only finitely many copies are distributed and where the parties are not required to process multiple copies simultaneously. In particular, we investigate the performance of so-called one-successful-branch protocols, applied sequentially to single copies and an adaptive Bayesian estimation strategy. Finally, we compare our strategy to more general but less easily practically implementable strategies involving distillation and the use of quantum memories to process multiple copies simultaneously.
Probability Companion for Engineering and Computer Science

Journal of the Royal Statistical Society: Series A (Statistics in Society)Volume 184, Issue 4 p. 1609-1610 BOOK REVIEW Probability Companion for Engineering and Computer Science , Prügel-Bennett, A., 2019 Cambridge University Press, Cambridge 457p. 39.99 GBP ISBN 978-1-108-72770-9 Sebastian Dietz, Sebastian Dietz sjd@hotmail.de Munich, GermanySearch for more papers by this author Sebastian Dietz, Sebastian Dietz sjd@hotmail.de Munich, GermanySearch for more papers by this author First published: 05 July 2021 https://doi.org/10.1111/rssa.12725Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume184, Issue4Special Issue: Data science for society: Challenges, developments and applicationsOctober 2021Pages 1609-1610 RelatedInformation
Bitcoin and Beyond

We survey extant literature on the economics of blockchain fundamentals with particular focus on Bitcoin, Proof-of-Work and Proof-of-Stake. We formally clarify Bitcoin’s economic significance in solving the double-spending problem without a centralized entity. We then transition to the economics literature, highlighting the key endogenous economic interactions among participants in the Bitcoin ecosystem as well as the economics of Proof-of-Stake and other potential consensus algorithms. Along the way, we discuss various literature that provides important insights regarding fees, forks and price volatility. We conclude by reflecting on the next generation of blockchain innovations.
Characteristics of authentic assessment tasks in teaching maths oriented to competency development for primary students

This paper aims to present concepts of authentic assessment (AA) and AA tasks, one of the remarkable points compared with other assessment forms. Through some authors' researches, the article presents characteristics of AA tasks to distinguish other learning tasks, such as AA tasks must have problems posed in the contexts associated with real-life; AA tasks require students to use high-order thinking; AA tasks require students to respond by creating real products or quality performances; AA tasks orient the criteria to assess the students' performance results. In addition, several AA tasks in teaching Mathematics towards developing competencies for primary school students are designed and analyzed to clarify typical features of AA tasks.
Face Recognition Based Unsupervised Attendance File Generation Using Local Binary Pattern Histogram

Attendance management system is an important part of daily online /offline classroom evaluation. At the beginning and end of class, it is usually checked by the teacher, but it may appear that a teacher may miss someone or some students answer multiple times. Our project is based on face recognition and face recognition technologies. The concept of face recognition is to give a computer system the ability to find and recognize human faces fast and precisely in images or videos. Computers that detect and recognize faces could be applied to a wide variety of practical applications including criminal identification, security systems, identity verification etc. The entire process involved in our project can be categorized into two main processes as face detection and face recognition process. Face detection involves the detection of an input image for further processing. Face Recognition, where the detected and processed face is compared to the database of known faces to decide the correct person. The attractiveness of the proposed system is, it generates an attendance file which includes the subject name alongside other parameters which are already present. Easy accessibility of attendance using excels technology.