Reviewerly/exHarmony huggingface dataset:
The making of a smart pillow: Designing an object with intent through a data-enabled design process

Leisure is defined by the Cambridge dictionary as: “The time when you are not working or doing other duties.” During this time, people engage in a broad variety of activities. They engage in these activities because they want to and because it makes them happy in some way. Newman et al (2013) researched the underlying psychological pathways by which leisure evokes happiness. They proposed five core psychological mechanisms through which leisure promotes subjective well-being (SWB). These mechanisms are detachment-recovery, autonomy, mastery, meaning and affiliation. Which activity triggers which mechanism, can differ per person and one activity can trigger multiple mechanisms.This project focuses on the mechanism of detachment-recovery. By utilising a user-centred approach, it was found that people were not always satisfied with their leisure time, more specifically with the recovery time they spent on the couch. The dissatisfaction had two main causes. Firstly, they were distracted from the activity they were engaging in. Secondly, they spent longer on the couch then they initially had intended to. To tackle those two causes, a smart pillow was designed.The concept of a smart pillow came to fruition by using a new perspective on smart objects, the perspective of objects with intent (OwI) (Rozendaal, Boon, a Kaptelinin, 2019). Objects with intent are everyday objects that act as collaborative partners in human activity. OwI’s are a type of agent and they take advantage of the meaning of everyday things as a site for intelligence and agency. Rozendaal et al (2019) prototyped the concept of an OwI by using a wizard of Oz style of prototyping (WoZ). In this setup, the researcher acted as the sensors and intelligence of the Object. In this project, I take a step towards the design of a fully autonomous OwI by applying a data-enabled design approach (J. van Kollenburg a S. Bogers, 2019).In this project, I explore how I can apply a data-enabled design approach. I show my approach, the tools I use, the visualisations I have made and the insight I have gained. By doing this I aim to inform fellow industrial design students on how they also can apply the data-enabled design. In this process, one specific visualisation was found to be very useful. This was a 3D representation of the prototype of the pillow in which data gathered by sensors in the prototype were visualised on the 3D representations. This representation was an animation which was matched with video recordings of the usage of the pillow.
All Saints' College LibGuides: Research & Referencing: Quoting

A guide for students and staff on referencing, copyright, creative commons and more Direct and indirect quoting
LibGuides: Resources for Reading Instruction: Getting Started

A LibGuide for parents seeking books and other resources to help teach a child how to read and/or help improve existing English reading skills towards the goal of reading fluency. Start Page lists standalone beginning-reading instructional resources, aimed at the reader/parent/coach who is seeking to support a new/struggling reader.
Using the Deductive - Inductive Method to Analyze Diffusion Mechanisms in Complex Systems

This article discusses using quasi-chemical formalism to describe nonlinear multicomponent diffusion for analyzing experimental curves of the dependence of diffusion coefficients on component concentrations in complex (e.g., biological) systems. The proposed mathematical model allows us to establish the dependence of the partial coefficients of self-diffusion and inter-diffusion on the components' concentrations in a multicomponent system.
LibGuides: 855XS2019Spring-Accessing New Digital Materials via Hoopla and Libby: Hoopla

This guide reveals how we have budgeted our $5,000 towards new digital materials, and how to access those new materials as a library user. More about Hoopla
Security Law, Regulation and Public Policy for Accounting Professionals

The failed accounting “Cognitor” credential might have channeled accountancy into information security at the turn of the 21st Century. However, the accounting profession delayed this responsibility until recently: cybersecurity engagements, client confidentiality and attestations. Contrasting the earlier topic listings approach to certification exams, current certification exam content specifications increasingly seek to develop career long skills and foundations for intellectual growth. Scholarly preparation of future accountants requires knowledge of the pubic policy of security: law, regulation, standards in addition to professional work methods. In Part I this paper examines security and privacy conceptually to enable accountants’ professional growth. Part II then maps state, federal, international laws and professional standards to accounting professionals’ emerging cybersecurity and privacy duties.
PENERAPAN RUANG TERBUKA SEBAGAI KONSEP HIBRIDA PADA PERPUSTAKAAN DI BANDA ACEH

The development of science and knowledge is inline with the development of technology. As a library is one of source of nation building, it has to has to move along the development of technologies as well. In Banda Aceh, the local government library has not fully employed new technologes in library design and management. In fact, new technologies can maximize the uses of library resources. Hybrid library is an alternative to application of new technologies in library design and management. The hybrid library is a conventional library which is developed by digital collection and print collection development. A hybrid concept on design is also to combine two different functions: library as open space so that people can enjoy open space and also the library function. To desgin a hybrid library, this paper uses modern architecture theory becomes the reference to desgin a hybrid library in Banda Aceh. the hybrid library design in Banda Aceh
CARRY SELECT ADDER CONCURRENT ERROR DETECTABLE WITH EASY TESTABILITY

In this paper, Adder’s plays major role in multiplications and other advanced processors designs. Adders can be constructed for many numerical representations such as arithmetic and logical operation. The most adders operates on binary numbers. Among the different types of adders, carry select adder is a one of the fastest adder. Carry select adder was designed by using Full adders. This paper presented a Full adder with fault localization for the input bits. By using this scheme, instead of replacing the whole system we can now replace the particular faulty modules. When compare to existing method the proposed method is better in terms of area and delay. Hence the simulations results are verified by using Xilinx ISE 14.7 version.
SMART SURVEILLANCE APPLICATIONS, TECHNOLOGIES &IMPLICATION

Smart surveillance, is the use of automatic video analysis technologies in video surveillance application. This paper attempts to answer a number of question about smart surveillance: what are the application of smart surveillance? What are the system architecture for smart surveillance? What are the key technologies? What are the some of the key technical challenges? And what are the implication of smart surveillance, both to security and privacy?
Evidence-based nursing practice based on impaired cardiovascular system related to heart failure in the ICU - Systematized Literature Review

Understanding the patient's responses to cardiovascular diseases becomes an important factor in the clinical reasoning of Nursing so that care planning is carried out efficiently. The objectives proposed for this study were to identify the main nursing actions practiced by nurses during the treatment of patients with cardiovascular insufficiency hospitalized in the ICU and to describe the nurse's role in the rehabilitation process. The patient with cardiovascular insufficiency needs care aimed mainly at health education and information for the practice of self-care. It is essential that nurses propose systematic actions, leading them to understand their disease and minimizing decompensation.Keywords: Heart Failure, Nursing, Nursing Care.
IMPLEMENTASI ENSEMBLE KALMAN FILTER PADA METODE RUNGE-KUTTA UNTUK PERBAIKAN SOLUSI NUMERIK PERSAMAAN DIFERENSIAL BIASA

Solving differential equations numerically means calculating the value of a function on a variable value using an estimation method or approach. The second order Runge-Kutta is one of a numerical method for solving ordinary differential equations. Each method of aproximation will always generate an error, where each method will generate a different error. Whereas the Ensemble Kalman Filter (EnKF) method or technique is a method that optimizes an estimate using assimilation of measurement data. This paper shows that the implementation of the EnKF technique in the second order Runge-Kutta method can correct errors quite well.
인권 친화적 문화 형성과 현대시 비판적 읽기 교육

The purpose of this study is to explore the role of poetry education in forming a human rights-friendly culture. To this end, critical reading activities were embodied as content to realize the goal of enhancing sensitivity towards human rights; this is understood as the ability to understand human rights issues based on an awareness of human rights standards. This uses the same method as critical reading, which evaluates the acceptability of a text based on certain criteria. However, it is necessary that we find a critical reading method that includes an understanding of the way human rights work. When considering “human rights as rights” and “human rights as moral rights,” the role of the reader in critical reading and the attribute of critical reading itself were examined. In order to understand human rights, the readers were required to read poetry from the perspective of various human rights subjects and carry out activities that justify human rights values through the process of materializing, applying, and reflecting on human rights values in a specific context. Critical reading allows for sympathy with the rights issues reflected in the text and tries to expand on them; a critical reading that the reader actively sets the problem and tries to read the text, although the text does not reflect it. Critical reading aims to supply learners with a delicate and thoughtful attitude towards understanding the world.
Teaching and Learning Conceptions and Teacher Efficacy of Korean Preservice Teachers

This study aims to examine changes in teaching and learning conceptions and sense of efficacy as well as relationships between them. Data were collected from 121 Korean preservice teachers before and after a 4-week teaching practicum. The results indicated that constructivist conceptions of teaching and learning increased over the practicum period and teacher efficacy shifted as well. In addition, correlations among the constructs were strengthened over the practicum period. Interestingly, constructivist conceptions related to differentiated education were not significant, while traditional conceptions related to teacher-guided lessons were significant after the practicum. These results imply that Korean preservice teachers still place value on the traditional perspective, even though constructivism dominates the current educational policies of Korea.
Artikel zum Thema Corona Warn App Update Release 2.0.3 Check-in per QR Code möglich (Checkin und QR Code erstellen) &#128567;

Andreas Unkelbach Blog Artikel zum Thema - Corona Warn App Update Release 2.0.3 Check-in per QR Code moglich (Checkin und QR Code erstellen) &#128567; (App)
LibGuides: Baroque Music for Undergraduate Students: Home

This research guide will prepare you to rock with Bach, love all Four Seasons of Vivaldi, and to get a Handel on all things Baroque!
Redirected walking for virtually expanded play area

We describe a method of achieving redirected walking by modulating subjective translation and rotation. In a real space, a user walks around without leaving a 5 m 2 area, but we have built a system that allows virtual movement around a larger area than the real space. This system is realized by translating and rotating the apparent ground in response to user movement.
The Design and Development of Online Teaching Research System

The traditional centralized conference teaching research has many limitations, such as weak data statistical analysis ability and limited audience group. The online teaching research system, which integrates various network teaching resources effectively and applies network to cooperate teaching research, is an important method for information technology to support teachers' professional development. Taking geography as an example, this system designed and developed a teaching research platform of geography, in order to provide powerful help to front-line geography teachers and provide reference for the development of network collaborative teaching research activities.
English in Indonesia and Industry 4.0

This article looks at the status and use of English in Indonesia, a country which is known for its diversity, bio-diversity and diversities of language and culture. The main pathway for learning English in Indonesia is the formal education system. This is enormous, catering for tens of millions of pupils, and has been built up from practically zero immediately after independence. As such the education system faces unique challenges. However, one new challenge is emerging and likely to play a significant part in Indonesia’s development over the next few decades. This is the disruptive power of Industry 4.0. Industry 4.0 refers to the emerging technological advances that will have an impact on our society and culture. The role played by English will surely be part of the way forward for building an advanced economy in Indonesia by 2045. The article thus covers how we might respond to and prepare for Industry 4.0 in the education sector, with particular reference to English.
A Deep Belief Network-based Intelligent Approach for Structural Reliability Evaluation and Its Application to Cable-supported Bridges

A cable-supported bridge is usually the key junction of a highway or a railway demanding a higher safety margin, especially in harsh environmental and complex loading areas. In comparison to short-span girder bridges, long-span flexible structures have unique characteristics leading to the complexity of structural mechanical behaviors. Thus, the system safety of cable-supported bridges is critical but difficult to evaluate. This study presents a novel and intelligent approach for system reliability evaluation of cable-supported bridges under stochastic traffic load using deep belief networks (DBNs). Mathematical models for the system reliability of cable-supported bridges were derived with consideration of structural nonlinearities and high order statically indeterminate characteristics. A computational framework was presented to show the procedures for system reliability evaluation using DBNs. In the case study, a prototype suspension bridge was selected to investigate the system reliability under stochastic traffic loading considering site-specific traffic monitoring data. Numerical results indicate that the DBN provides an accurate approximation for the mechanical behavior accounting for structural nonlinearities and system behaviors, which can be treated as a meta-model to estimate the structural failure probability. The dominant failure mode of the suspension bridge is the rupture of suspenders followed by the bending failure of girders. The degradation of suspenders due to fatigue-corrosion damage has a significant influence on the system reliability of the suspension bridge. The numerical result provides a theoretical basis for the cable replacement strategy.
Computational Models of Learning and Hierarchy

Author(s): Eckstein, Maria Katharina | Advisor(s): Collins, Anne GE | Abstract: The aim of this thesis is to create precise computational models of how humans create and use hierarchical representations when solving complex problems. In the process, the thesis aims to understand human learning more generally, and investigates the method of computational modeling itself. The main result of the thesis is that hierarchical reinforcement learning --the layering of multiple reinforcement-learning processes at different levels of abstraction-- provides a precise and comprehensive model of human behavior in complex tasks, and has the promise to explain how hierarchical representation can be created when interacting with a problem. Our investigation of human learning shows that learning proceeds differently at different ages, and suggests that different stages of life might be optimized to solve different problems. Our investigation of computational modeling reveals that even though computational models are powerful tools for compressing complex datasets into a small number of model parameters, these parameters are not generic and task-independent, as commonly believed. Instead, model parameters should be interpreted as maximally-compact behavioral measures that are fundamentally tied to task context.
The Usage of English Internet Slang among Malaysians in Social Media

Usage of social media among Malaysian keeps on rising day by day. Almost everyone in Malaysia owns a smartphone and with those smartphones, they can access social media such as WhatsApp, Instagram, Twitter, Facebook, and et cetera anywhere and anytime they want. With the existence of social media, a new style of writing was born and it is called internet slang. The researchers conducted this study to identify how frequently Malaysian use internet slang in daily online communication. This internet slang can damage the current vocabulary and vandalize the writing skills of a person. Researchers conducted documentary research by using the qualitative method to study and gain an understanding of internet slang used among Malaysian in social media. Researchers collect all 69 findings and evidence from posts on social media made by Malaysians. This study found that there are several types of internet slang that are commonly used among Malaysians on social media. Researchers suggest that Malaysian should limit themselves in using English internet slang in daily online communication as it can damage their writing style.
A Cognitive Diagnostic Modeling Analysis of the English Reading Comprehension Section of the Iranian National University Entrance Examination

Cognitive Diagnostic Models are a class of multidimensional categorical latent trait models which provide diagnostic information by reporting examinees' mastery profiles on a set of predefined skills. CDMs provide fine grained information concerning examinees' strengths and weaknesses in the subskills and subprocesses which constitute a larger domain of knowledge. Such detailed information helps in classroom teaching, designing remedial courses, and material development. In this study, we analysed a high stakes English as a foreign language reading comprehension test using GDINA model.  The skill profiles of the test takers, the class probabilities, attribute mastery probabilities, attribute difficulties, and model data fit at test and item level were examined. Implications of the study for reading comprehension research and CDM applications are discussed.
Educators' opinion about technology and web platforms during the Covid-19 pandemic

Today, educators seek to meet the needs of students during the Covid-19 pandemic through the incorporation of Information and Communication Technologies (ICTs) in the teaching-learning process The aim of this quantitative research is to analyze the perception of educators about the impact of technology and web platforms in the educational field through machine learning (linear regression) The sample is made up of 58 educators from the National Autonomous University of Mexico The results of machine learning indicate that web platforms positively influence the performance of school activities through the use of mobile devices and flipped classroom Likewise, web platforms positively influence the teaching process Finally, educators use technological advances in the educational context to transform the school activities under the distance mode and update the courses in the times of Covid-19
A Deterministic Streaming Sketch for Ridge Regression

We provide a deterministic space-efficient algorithm for estimating ridge regression. For $n$ data points with $d$ features and a large enough regularization parameter, we provide a solution within $\varepsilon$ L$_2$ error using only $O(d/\varepsilon)$ space. This is the first $o(d^2)$ space deterministic streaming algorithm with guaranteed solution error and risk bound for this classic problem. The algorithm sketches the covariance matrix by variants of Frequent Directions, which implies it can operate in insertion-only streams and a variety of distributed data settings. In comparisons to randomized sketching algorithms on synthetic and real-world datasets, our algorithm has less empirical error using less space and similar time.
First-person View Gesture Recognition Based on Region Convolutional 3D Network

Gesture is a visual and effective method of interaction with VR/AR devices. However, there are still many challenges for video-based first-person view gesture recognition. This paper proposes a method based on Region Convolutional 3D Network to detect and recognize gestures in undivided RGB-D video data. RGB data and Depth data were extracted with a model and feature fusion was conducted. Then generate candidate regions containing gestures in time. After that, classifies selected generates candidate temporal regions into specific gestures. By characteristic design of first-person view gestures, numbers and size of anchor boxes were optimized to accelerate the process of generating gesture candidate regions, where the quality of gesture candidate regions was enhanced and computation is saved. To verify the method and test effects under different backgrounds and illuminations, we tested with EgoGesture dataset, indicating validity of the method. Our method showed superiority in respect of interaction with wearable devices of VR/AR.
ACSE (automatic canopy space expander): Automatic spacing system based on increasing plant canopy area on hydroponics for space efficiency

Abstract Hydroponics is a solution to increase the amount of productivity of crops to offset the growing population growth in Indonesia. In hydroponics, the NFT system which is currently widely applied in industrial scale gardens uses a gully with a planting hole that has been set and is static. This is still inefficient in the use of space because there is still space left between the two plants when the plant canopy has not reached the end of the growth phase. Besides, farmers also need more energy to move plants from one gully to another when the canopy of plants has covered each other. To overcome this problem, an automatic spacer system is necessary. The objective of this study was to design an automatic canopy space expander based on increasing plant canopy area. The system is composed of a camera, motor driver, stepper motor, and helix conveyor. When the system detects overlapping canopies, the plant’s net pot will be shifted using a helix conveyor. The overlapping can be detected when the proportion of the width and height of the rectangle box that surrounding the canopy area is greater than 1: 1 with tolerance value ±0,2. The results of this study indicate that overlapping plant canopies can be detected through the filtering process and the calculation of the proportion of width and height of the rectangle box that covers the canopy area. The model of the ACSE system can increase the amount of crop productivity by not leaving any free space between the canopy but still keeping it from overlapping to pay attention to the level of competition of plants in getting sunlight.
Online Access to Knowledge Services: Lister Home: Games - Educational Games

Welcome to the Lister Healthcare Library - East and North Hertfordshire NHS Trust Educational Games
LibGuides: Remote Resources for SLC: Academic Support

Overview of services and resource available during the COVID-19 pandemic. Updated regularly.