Reviewerly/exHarmony huggingface dataset:
Digital varumärkesidentitet : En semiotisk och sociosemiotisk analys om vilken varumärkesidentitet holistiska hälsoföretag förmedlar på sina digitala kanaler.

The aim of the study was to find out how holistic health companies communicate their brand identity through their digital channels. The study examined how brand identity was being expressed based o ...
IEEE Access Special Section Editorial: Emerging Trends, Issues, and Challanges in Energy-Efficient Cloud Computing

Cloud computing is one of the most successful business models for providing a simple pay-as-you-go, and therefore is gaining much popularity in the industry. Customers and enterprises can maintain or scale-up a business easily while cutting down on their budget. However, energy consumption is one of the biggest problems in current cloud computing. It is both essential and urgent for governmental and industrial institutions to address this, to achieve rapid growth. The development of energy-efficient cloud computing has to be taken into consideration, which relies on the development of several key technologies: More energy-efficient mediums can be used in cloud computing at the platform level; energy-efficient scheduling algorithms, memory systems, storage systems, resource management policies, etc., can be adopted at the hypervisor level; energy-efficient scheduling, communications, and applications can be applied at the virtual machine level; and energy-efficient mobile cloud computing will be developed, involving green networking and wireless communications, cloud-based mobile applications, and limited resources management.
현행 가석방제도에 대한 수형자들의 인식에 관한 실증연구

In o rder to understand how p risoners p erceiv ed the current p arole system, this study collected the candidates for parole preliminary examination and examined various opinions related to the operation of the parole system. In order to collect opinions of prisoners from various facilities, 409 people were selected from the four regional correctional offices and 14 prisons across the country. In addition, the requirements and procedures of parole were reviewed and the current status of the parole system was investigated. According to the results of statistical analysis, first, most of the inmates awaiting the parole decisions were the offenders of property crimes and of the first offence. In addition, Most were remorseful for their crimes and the remaining prison sentences were less than one year. In other words, there was a high probability that parole would be granted for prisoners who are first offenders, have high execution rates, are not violent criminals. Second, most of them felt that they had few chances of paroles and that they believed that many crimes were excluded at the beginning. On the contrary, many of the respondents thought the system of corrective scoring and parole screening were fairly just. Also, they tried to lead an exemplary prison life without v iolating the rules in order to be granted parole. Third, concerning to the question of how to improve the current parole system, they thought that the participation of external experts in the classification and treatment committee should be encouraged and that the inmates entitled to parole were given opportunity to speak in front of the committee. Although the parole system is implemented as a policy by the correctional authorities to control prisoners, it can not be overlooked that the positive and negative perceptions of prisoners during the implementation of the parole system affect the legitimacy of the system.
DESC9137 - Spatial Audio - 'Space Explorations' - Binaural Audio Sound Design

‘Space Explorations’ is a binaural audio production which explores the duality of the word space: the exploration of outer ‘space’ and the exploration of ‘space’ in terms of the 3D sound field.
Intelligent System for Physically Challenged Person in Virtual Prototype Environment

In this paper, a framework is fabricated to authorize the physically tested individual device for controlling the needed thing like lighting the room, electrical gadgets with small power application used in an indoor environment. The indoor application controls the wheelchair utilizing only a couple of fingers to do the work effectively. The MEMS-based accelerometers sensor is designed without any pressure and makes the device highly favorable to a physically challenged person. The accelerometers are the small gadget equipped for distinguishing the quickening of the article to which they are appended in which the accelerometers are connected to the fingers for a particular application. The individual, to whom the accelerometers are attached, can assign the control gadget using the straight forward development tool of the fingers like tapping them on the surface to do one particular application in indoor environment. So the novel system is designed and implement for physically challenged person to operate both in indoor and outdoor environment.
Feature Selection using Particle Swarm Optimization Algorithm in Student Graduation Classification with Naive Bayes Method

The study of the classification of student graduation at a university aims to help the university understand the academic development of students and to be able to find solutions in improving the development of student graduation in a timely manner. The Naive Bayes method is a statistical classification method used to predict a student's graduation in this study. The classification accuracy can be improved by selecting the appropriate features. Particle Swarm Optimization is an evolutionary optimization method that can be used in feature selection to produce a better level of accuracy. The testing results of the alumni data using the Naive Bayes method that optimized with the Particle Swarm Optimization algorithm in selecting appropriate features, producing an accuracy value of 86%, 6% higher than the classification without feature selection using the Naive Bayes method.
Discovering Emerging Financial Technological Chances of Investment Management in China via Patent Data

This paper aims to explore and identify commercial opportunities about the financial technologies used in investment management in China. We focus on a method using KeyGraph, a text data mining tool for extraction and visualization of preference from information to assist the process of chance discovery, to reveal the structure of the patents which have CPC G06Q40/06, the classification label that covers technologies related to financial investment. Consequently, through conducting both cluster and association analysis on the patent data, Y10S707/99935(Query augmenting and refining) has been found as a chance that connects advanced investment analysis system and the basic information management system. In addition, the result shows that the presented method is promising to generate new opportunities from the chance nodes obtained from the KeyGraph. Patents are a valuable source of information in technical innovation, market direction, and competitive intelligence. Discovering emerging chances from the patent data helps to improve planning for business decisions in further investments accordingly.
Research, Citation, & Class Guides: PreK-12 E-Books and Related Resources for Virtual Learning: TumbleBooks Information for Instructors

UW-W Libraries currently subscribe to numerous higher education and academic e-book platforms. This supplements those with access to selections for younger readers.
What Is Android Auto? What Phones And Cars Are Compatible?

Are you familiar with Android Auto? In this blog post, I will tell you everything you need to know about it and what cars are compatible. ...
Speech Analytics for Actionable Insights: Current Status, Recommendation, and Guidance

Speech analytics utilizes speech recognition, predictive analytics, and authentication of the data streams while assessing customers' complaints in real-time. Assessment occurs through the collection and analysis of current data mixed with historical facts to determine patterns and to predict trends. In the current research, the authors have chosen to focus primarily on speech analytics, serving as an umbrella term encompassing speech analytics, audio-mining technologies. The use of speech analytics typically refers to a broader range of speech products, such as analyzing voice identification, emotion detection, and phonetics/speech analysis. Speech Analytics for Actionable Insights proceeds with the discussion of an overview of enterprise needs for speech analytics, a brief history of the speech recognition, the infrastructure of phonetic versus transcription approaches and real-time versus post-call solutions, major speech analytics vendors and their features, applications found within case studies, and recommendations and guidance. The primary goal of this monograph is to help business decision-makers educate themselves on the burgeoning field of speech analytics as well as to understand how it impacts the broader enterprise landscape.
Мотивационно-прикладной компонент в структуре методической системы преподавания математики на уровне высшего технического образования

The article is a continuation of a series of works devoted to the improvement of the methodological system of teaching academic disciplines at the level of higher education. This article evaluates the effectiveness of the addition of a motivational and applied component of the methodical system of teaching mathematics. The study of the effectiveness of the proposed changes on the example of this academic discipline is of interest in connection with the high degree of abstractness of the educational content, which makes it difficult for students to justify and realize its significance and the horizon of practical application possibilities. The analysis of the research results with the assessment of their statistical significance is presented.
Network Interaction Within the "Service" Concept of Educational Institutions (On the Example of the Tomsk Region)

The author emphasizes that ongoing global changes in society, new directions of sociocultural development have led to the necessity of making changes in requirements of the quality of education on every level. It is noted that these new requirements imply not only pupils’ subject knowledge development but also their metasubject and personal competence formation. Educational institutions faced difficulties while establishing educational process in accordance with the introduced state directions. The author comes to the conclusion that in search of the solution, educational institutions started to form networks and communities that let integrate both resources and abilities to succeed in fulfilling of the tasks given by the government. The concept of a “service state” is considered; principles of service activities of educational institutions are defined; client focus of educational institutions is reviewed; the main provisions of the network interaction of educational institutions are presented; regulatory acts, projects in which the network interaction in the field of education is fixed are analyzed; an independent assessment of the quality of education is given; educational institutions that occupy leading places in the opinion of service consumers about network interaction, taking into account the focus on the need of direct service consumers are considered. In the course of the study, the following methods were used: analysis and synthesis, comparison, interviewing. The result of the study was a network interaction project taking into account the focus on service by the Humanitarian Lyceum in Tomsk and Tomsk State University.
Bone segmentation in computed tomography images using a Hermite-based approach

Abstract Computed tomography images of the human bone system are essential for evaluation of abnormalities and disease detection. Structural and anatomical information can be assessed with computer tomography with the aim of performing diagnosis, planning and treatment evolution. Automatic segmentation can provide a fast, objective evaluation and quantification of the bone conditions. In this work, we propose a segmentation technique consisting of a region growing method implemented in the Hermite transform domain. The Hermite transform provides a powerful mathematical tool which is useful for extraction of the image features. These are obtained through a set of Hermite coefficients. A seed or a pre-segmentation is used to initialize the region growing approach and coefficients of the Hermite transform are posteriorly employed to grow the initial shape. We have used Hermite coefficients up to second order. Edge, gray level and zero crossing information obtained with the Hermite transform are configured for the growing criterion. Several computer tomography images were used for evaluation. Different metrics were employed for performance assessment and we have compared results of the proposed method against the manual segmentation. The obtained results demonstrate that the HT substantially improves the texture classification which is directly reflected into a better segmentation of the bone tissues. The region growing algorithm presents a better performance if it is applied to Hermite coefficients compared to the original method which is performed on the original image space.
LibGuides: Teen Space: QuaranTEEN Challenge

Your guide to all things teen at the Huntington Beach Public Library! 2020 QuaranTEEN Challenge
Russian Scientific Publication — 2019

The article presents the events that took place last year in the world of Russian scientific publications. There is a slow slide towards paid access of some academic journals turned in open access in 2018. The European Union has announced plan "S" for the mass transition of scientific journals to open access. New models of the scientific publication are introducing. Reporting on publications requested by the Ministry of education and science in 2019 does not take into account the size of the readership of the article. Neither the Ministry of education and science, nor the Higher Attestation Commission (HAC) does not encourage publication in the public domain. In Russian Science Citation Index began the fight against widespread fraudulent trade in references to the article, but the HAC is not interested in this activity. A proliferation of contradictory the term "self-plagiarism" has spread. This label is widely stigmatized authors and journals for repeated publications.
Big Data Computing: Privacy Risks Management

With the evolving technologies and data exchanges amongst borders, big data privacy issues have become the heated discussion. The big data storage and analysis occurs by cloud infrastructures which pose challenges of security and privacy. This research explains the recent privacy concerns, risks and risk mitigation strategies in heavy data computational environments. The paper has successfully produced the state of art on big data risk management, privacy open research questions, vulnerabilities and threats encountered. The paper provides a deep research on big data analytics, tools, features, users and challenges in big data computing. This state of art constructs a useful case for building new privacy models in industrial big data computing in future.
Best Apps For Recording Phone Calls On Android

In this blog post, I will provide you with a list of the best apps for recording phone calls on Android. There are a few ...
Quantum Secure Communication

Cryptography is a method of secure communication between two or more parties. The crucial step is exchanging a key in a secure manner. There are, however, two problems with conventional cryptography. First the sender and the receiver should exchange the key through highly reliable and secure channels. The second problem is that a clever eavesdropper can, by a careful analysis of the sent information, reconstruct the key. In this chapter, schemes to overcome these problems are presented. First a scheme for exchanging a key over public channels, the so-called RSA algorithm, is discussed. Then the protocols for the quantum key distribution (QKD), the Bennett–Brassard-84 (BB-84) and Bennett-92(B-92) protocols, are then presented. The QKD protocols are exclusively derived using Bohr’s principle of complementarity. An application of these ideas to the design of secure quantum money is discussed.
Quantum mutual information and quantumness vectors for multiqubit systems

We introduce a new information theoretic measure of quantum correlations for multiparticle systems. We use a form of multivariate mutual information—the interaction information—and generalize it to multiparticle quantum systems. There are a number of different possible generalizations. We consider two of them. One of them is related to the notion of quantum discord and the other to the concept of quantum dissension. This new measure, called dissension vector, is a set of numbers—quantumness vector. This can be thought of as a fine-grained measure, as opposed to measures that quantify some average quantum properties of a system. These quantities quantify/characterize the correlations present in multiparticle states. We consider some multiqubit states and find that these quantities are responsive to different aspects of quantumness and correlations present in a state. We find that different dissension vectors can track the correlations (both classical and quantum) or quantumness only. As physical applications, we find that these vectors might be useful in several information processing tasks. We consider the role of dissension vectors—(a) in deciding the security of BB84 protocol against an eavesdropper and (b) in determining the possible role of correlations in the performance of Grover search algorithm. Specially, in the Grover search algorithm, we find that dissension vectors can detect the correlations and show the maximum correlations when one expects.
Subject Guides: The End of EndNote Desktop : How to Get Help

AU Library will be canceling our subscription to EndNote Desktop in May 2021. This guide will help EndNote users determine how best to move forward and will include details on maintaining access to the current version of EndNote, as well as how to chose w
Fast, vision-based line-following schemes for micro-aerial vehicles in nuclear environments

Many nuclear power plants are reaching the end of their economic lifetime and the decommissioning of legacy nuclear facilities is an important challenge in the next few decades. Since the radiation level in these facilities is significant, autonomous robots are likely to be a large part of the solution. For this purpose, the mapping and inspection of nuclear facilities can be performed using autonomous Micro Aerial Vehicles (MAVs). Recently, there are many studies on achieving a stable and reliable MAV flight to perform accurate missions with high performance. Since human access is highly restricted in nuclear environments, conventional navigation systems are not able to complete many of the required tasks. Track follower MAVs have been implemented in many applications, such as water channels and railway inspections. To illustrate some of the issues involved, this research considers a line-following method and compares two attitude controllers. The approach can be divided into three tasks: 1) the image processing algorithm, 2) the path planning strategy and 3) attitude stabilisation. The environment under study contains a ground floor with predetermined red tracks over which the MAV moves. We explain each task briefly in the following.Image Processing: First, a colour detection algorithm is applied to form a thresholded image. To make the image smoother and to reduce noise effects, Dilation and Erosion algorithms are applied. Then, in each iteration, a vector is created by the boundary layer of the provided image. Morphological operations are performed to remove small discontinuities for each cluster. Here the goal is to find the midpoint of each cluster, known as keypoints. Finally, the obtained vector should be re-mapped to its original image matrix.Path Planning: The methodology for selecting the appropriate target point is to compare the distance between the keypoints and the target. For the take-off phase, the keypoint with smaller y in the image frame is chosen and, for the remaining iterations, the keypoint with lower distance to the target is selected. Then, the desired velocity in the body frame is calculated.Attitude Controller Design: Two controllers are considered to stabilise the attitude of the MAV. First, a linear Proportional-Integral-Derivative (PID) controller is selected. A linear PID control for yaw torque is derived. Subsequently, a conventional sliding surface for the yaw channel is defined and, by applying Lyapunov's direct method, the stability of the system is guaranteed. The yaw control torque is derived as a function of the designed positive sliding gain. Finally, to avoid chattering phenomenon, one can approximate the discontinuous signum function with the hyperbolic one.
Quantum properties of light and matter in one dimension

This licentiate thesis concerns topics in non-interacting and interacting quantum physics in one dimension. We present the notions of Wannier functions and tight-binding models. Quantum walks are d ...
Attitude Towards Reading of English Department Students in Darma Agung University: A Survey based on different personal attribute and environmental factors

The problems lies in this study are (1) how is the attitude towards reading of English Department students in Darma Agung University? (2) How is the attitude towards reading of English Department students in University of Darma Agung by the factors of (a) sex, (b) class type, (c) father’s education level, (d) mother’s education level, and (e) financial income level? After administered questionnaire of attitude towards reading by Gomleksiz (2004) to 46 students of English Department in Darma Agung University, there are findings found. First, the attitude towards reading of English Department students in Darma Agung University is mere positive for the average score of the 46 students is 143, 5 by the condition of the highest score is 172 and the lowest score is 111. Second, personal attributes and environmental factors are determine differences, the male students is mere positive in attitude towards reading by the average score of 145,4 than the female students by the average score of 142,6. In Class types, morning class students are having mere positive attitude towards reading by the average score of 147 than the evening class by the average score of 138,4. Fathers’ and mothers’ education level is also determining differences. However, mothers’ education level is affect linearly to the students attitude towards reading; the higher the mothers’ education level the mere positive the students’ attitude towards reading, but fathers’ education level is not affect the students attitude towards reading linearly. The last of the environmental factors, financial income level is linearly affect the students’ attitude towards reading; the higher the students’ financial income level the mere positive their attitude towards reading.
LibGuides: Adult Summer Reading - 2020: Home

Why should kids have all the fun? Read some great books this summer and join us for a chance to win prizes, including our Grand Prize: a Kindle!
Developing Metadata Categories as a Strategy to Mobilize Computable Biomedical Knowledge

A work by a group of volunteer members drawn from the Mobilizing Computable Biomedical Knowledge community's Standards Workgroup. See mobilizecbk.org for more information about this community and workgroup.
F/1.2 Information security

QUT has adopted an information security policy which addresses security issues related to the ownership, integrity and accessibility of information