Reviewerly/exHarmony huggingface dataset:
The Next Mugshot: Designing the next identity enrolment facility for the Dutch National Police

Pushed by technology and international regulations the world of identities is rapidly changing. Among others, the Dutch government is obliged to keep up. In line with these developments, a special facility for execution of identification processes for crime and migration purposes was nationally commissioned in 2015, called the ‘’Basisvoorziening Identiteitsvaststelling’’. Among others, this facility is used by the Dutch National Police to execute identification processes on migrants, aliens, suspects, convicts and witnesses. Throughout the years the appliance has become out-dated. Expensive defects and poor user experiences have caused the Police to initiate the development of a new design. Research unveiled that the Police is placed in a difficult position by relying highly on a product which functionality depends on numerous (uncontrollable) factors. The envisioned product requires be more flexible and future proof. Additionally, it was concluded that standardisation of a new enrolment facility for all identity related governmental agencies is feasible and desired. The Police was focused to design for: they set the highest requirements and have the most difficult users. Technology research provided that future identification will involve more biometric technologies and that a stationary enrolment facility will remain necessary for the coming decade. Using the Vision in Product Design method the current product and context were evaluated. A new user interaction journey was developed to provide a foundation for future development. The participant and the product were envisioned to become more involved in the process. It was chosen to create an unjudged experience for the participant. For the operator, the feeling of police workmanship should be emphasised. This led to the design goal: “Design the next identity enrolment facility for the Dutch National Police”. In order to improve the current situation, the following goals are formulated: Improving the user interaction; Inducing flexibility by: reducing dependency; implementing futureproofing; enabling versatile employability; anticipating identity technology. This initiated the ideation process. Through iterative prototyping, sketching and brainstorming a concept was designed. Eventually, an argumentation is provided on how the Main Appliance for Identification (‘MAID’) meets the design goals. Eventually, recommendations and unused ideas are provided for the client for future development.
PROFESSIONAL ADAPTATION OF FUTURE SPECIALISTS WHILE STUDYING AT UNIVERSITY

&#x0D; &#x0D; &#x0D; &#x0D; The article deals with the problems of professional adaptation of university graduates. The conditions of professional socialization of Bachelors of Science are examined. National studies of professional adaptation of university graduates are analyzed. The factors determining professional adaptation of university graduates are identified.&#x0D; &#x0D; &#x0D; &#x0D;
Improving Treatment Value Using Health Information Technology

Abstract: Advances in diagnostics and treatment are putting an unprecedented strain on care services across the globe. Technologies are constantly developing, advancing, and becoming smarter. All these advancements in the field of oncology are being enhanced by significant developments in the field of information, communications technology, and data analytics. Generation of insights using artificial intelligence and machine learning will be the driving force of healthcare now and in the future. ‘Big data’ comprise a challenging resource for improving treatment of breast cancer. However, it is not sufficient that large data-systems are integrated, but also that sound study designs, analytical methods, as well as transparency are applied. A stronger epidemiological foundation is needed to effectively study the health impact of new technologies.
Feature detection for geospatial referencing

With the drone industry's recent explosive advancement, aerial photography is becoming increasingly important for an array of applications ranging from construction to agriculture. A drone flyover ...
The superposition invariance of unitary operators and maximally entangled state

In this paper, we study unitary operators and the superposition of unitary operators. We calculate the the superposition of unitary operators and find that some unitary operators superposition is also unitary operator. Furthermore, via this property, we discuss the set of orthogonal maximally entangled states. For 2,3,4,5-qubit, we introduce the complete sets of orthogonal maximally entangled states. We find that orthogonal basis of maximally entangled states can be divided into k subspaces. It is shown that some entanglement properties of superposed state in every subspace are invariant.
Identification of Pollutant Sources of PM2,5 and PM10 in Waru, Sidoarjo, East Java

Air pollution have a very detrimental effect, not only for humans but also impact on the ecosystem of animals and plants. In this study, we will examine air pollution in March 2019 around Waru, Sidoarjo, East Java through research on air particulate concentrations with the size of PM2.5 and PM10. This study aims to determine the estimation of the origin of pollution around the Waru, Sidoarjo, East Java so that can be used as a scientific reference as a step to make the right decisions and policies in overcoming the effects of pollution. The data processing method in this study is with use the Conditional Probability Function (CPF) method to find out the estimated source the origin of pollution is based on meteorological data (speed and wind direction). The highest measurement results obtained at PM2.5 concentration was 24.13 μg/m3 still fulfilling the daily quality standards set by Goverment Regulations No. 41/1999 and WHO, whereas at PM10 concentration was 66.53 μg/m3 still met the daily quality standards has been established Goverment Regulations No. 41/1999 but has exceeded the quality standards set by WHO. While the results of the analysis of the CPF Method are obtained from the original source pollutants for PM2.5 come from vehicle activities on the highway, while the source of pollutants for PM10 comes from industrial activities.
LibGuides: Image Copyright : Copyright

This guide deals with the complex subject of online image copyright and provides useful information and tips about how to use online images.
Entanglement in orthonormal bases for quantum systems

Entanglement is a defining feature of quantum mechanics, producing correlations between the results of spacelike-separated measurements which cannot be explained by any local, single-world theory of nature. In this paper we employ a rigorous mathematical approach to explore the classification of bases for quantum systems by their entanglement properties. For bipartite systems, a basis is said to have type if it contains p entangled states and q separable states. Our main result is to prove a long-standing conjecture of Eakins and Jaroszkiewicz stating that no type orthonormal (o.n.) basis exists: an o.n. basis containing an entangled state is guaranteed to contain at least one other. Furthermore, we prove that o.n. bases of all other types do exist, before moving on to discuss the multipartite case. Our results show that there are fundamental constraints on the emergence of nonlocality in general orthogonal measurement.
An Analysis of Deep Learning Based Profiled Side-channel Attacks: Custom Deep Learning Layer, CNN Hyperparameters for Countermeasures, and Portability Settings

A side-channel attack (SCA) recovers secret data from a device by exploiting unintended physical leakages such as power consumption. In a profiled SCA, we assume an adversary has control over a target and copy device. Using the copy device the adversary learns a profile of the device. With the profile, the adversary exploits the measurements from a target device and recovers the secret key. As SCAs have shown to be a realistic attack vector, countermeasures have been invented to harden these kinds of attacks. In the last few years, deep learning has been applied in a wide variety of domains. For example, convolutional neural networks have shown to be effective for object recognition in images and recurrent neural networks for text generation. In the side-channel analysis domain, deep learning has shown to be successful. Up until recently, no deep learning layer existed that was specifically designed for SCAs. In this work, we analyze this layer, called the spread layer, and demonstrate the flaws of this layer. We improve the flaws and show the spread layer does not enhance the performance of SCAs. Additionally, we show there is no need to develop a deep learning layer specifically for SCAs on unprotected implementations. For implementations where countermeasures are present, literature demonstrated that convolutional neural networks are the most successful. However, for both the masking and random delay countermeasure, little is known about the influence of the kernel size and depth of the network. In this work, we illustrate that increasing the kernel size and depth of the network both increase the attack efficiency for the random delay countermeasure. For the masking countermeasure, we demonstrate that higher kernel sizes and shallow networks perform the best. Additionally, in this work, we consider a portability setting where the probe position has been changed in between the measurements of the profiling and attack measurements. Here, we show that the probe position causes a typical deep learning SCA to be ineffective. We introduce a normalization method such that the attack becomes effective, and show this method enables the attack to perform as expected.
PENERAPAN PENDEKATAN PAKEM UNTUK MENINGKATKAN AKTIVITAS BELAJAR SISWA KELAS III SEKOLAH DASAR

This study based on rearch by the low activity of students of class III, students just chatting, and playing cards when learning takes place, teachers are also less use of varied teaching model so that students tend to cool itself. The percentages show the students' learning activities in the classroom that is, as much as 20% of students are active to ask questions and express their opinions, while 80% of students are not active during the learning process and just do the activities of each as playing cards and chatting, the overall student totaled 25 students. This study was carried out to the third-grade students in one subdistrict SDN Sukajadi, Bandung. The purpose of this study was to describe the planning, implementation, and improvement of student learning activities by implementing PAKEM approach. Research using models classroom action research method Kemmis and Taggart with two cycles. each cycle consisting of planning, implementation, observation, and reflection. The results of research in the first cycle completeness student activity reached 62% and increased in the second cycle to 86%. The average activity of students of class III in the first cycle increased in the second cycle which is 72% to 90%.
Correction to: Solving an Infinite-Horizon Discounted Markov Decision Process by DC Programming and DCA

In the original version of the book, the following belated corrections are to be incorporated.
Me and My Smartphone - The influence smartphones have on our lives: Using critical designs as a tool to raise awareness for our societal issues related to smartphones

Smartphones have become an inseparable gadget and beneficial tool in our lives. Imagining a future without them would truly be impossible. When a new technology arrives, society needs time to adjust and become aware of the impact products have on people and our ways of behaving.. This always takes time. In the case of smartphones, the last few years have shown a growing amount of literature, media, researchers and most successful people in the world give attention to the negative effects and developments smartphones and social media has had on many people around the world. This thesis did even so, but has as final goal to create awareness, stir debate and provoke reflection within the audience about the subject. To do so we used design as tool. This particular movement is called Critical Design. Through an extensive literature research the present effects and developments in different areas of expertise were identified, such as the cognitive area, psychological, physiological, and social. From a user study empirical data related to the matter was collected, the way people feel, think and experience their own relationships to their phones. Combined, these scientific findings led to five interesting themes that we transformed into a smartphone manifesto, which could then be used as basis for the idea generation. The Social Paradox, The Loss of Solitude, Your Internal Friction, Your Divided Attention, The Addiction. For each theme, one design has been made. The final outcome of this thesis is a collection of five critical designs, from which three have been developed into prototypes. As part of these designs, narratives have been created in the form of commercial like videos, setting the context and adding to the completeness of the design concepts. By combining personal perceptions towards society with scientific evidence and empirical data, a translation from a very scientific background towards a more artistic way of designing was made. There was no prior process similar to the one taken in this thesis, which allowed a very open, new and free way of going through the design process. In a qualitative final evaluation, 8 people were interviewed in order to find out if the critical designs provoked them and created critical reflections towards our own behaviors and relations to smartphones within society.
Перспективи використання технології Flexbox при адаптивній верстці вебсторінок

The correct creation of the site is responsible for the correct display of the content. The developer must create web-page, that will be displayed correctly in the browser, which will be the closest to the previously created layout design site, pre-designed in the graphic editors. There are many tools for creation websites, for example html, css, and different types of frameworks. There are «hard» (fixed) and «rubber» (adaptive) layout of the site. «Hard» layout makes all elements of the web page of fixed sizes, regardless of the size of the user’s monitor and the screen resolution set. Adaptive layout of the site allows you to resize page elements by adjusting to different sizes and permissions of monitors. The most significant and actively explored area of web development is adaptive layout. Due to the large variety of technologies that allow us to solve a number of problems facing the developer when designing adaptive websites, it’s worth researching the most effective ones. The article explores flexbox technology for adaptive web page development. The main features of the flexbox application are highlighted for solving basic tasks such as moving the blocks accordingly to the width of the screen, automatically determining the center for precise alignment of the containers on the page. The main features of the flexbox are for seeing the main headlines, such as the one for the graphic content of the screen width, which is automatically assigned to the center for the exact virtual container on the web-page. We explored the main advantages and perspectives of using flexbox technology in adaptive web page designing that contain dynamic content, which gives a clear idea of the further introduction of this technology into the web development process. Adaptive layout is used for correct display. To implement the adaptability of the site, additional styles are prescribed, which, in addition to the greater amount of work, entail thinking of the behavior of each element.
Pengamanan Aplikasi Menggunakan Algoritma Camelia

Safeguarding Applications Using the Camelia Algorithm is a software that can assist in securing or locking an application file, where the file can no longer be opened by anyone except the owner of the file. In this research the locking and reopening process of the application file is performed using the Camelia Algorithm , So that it produces a software that can lock and open an application file.
LibGuides: Shared Resources Computer Lab & Copy Room: Home

Accessible to Fred Hutch employees via employee badge 24/7/365. Non-employees are welcome weekdays during business hours, 9-5.
Composing (with) Interfaces: Analog and Digital Feedback Loops and the Compositional Process

Author(s): Evanstein, Marc | Advisor(s): Barlow, Clarence | Abstract: Most, if not all, composing is done through some form of interface, in which the composer makes modifications to, and receives feedback about, the composition in progress. Such interfaces can take a wide variety of forms, including both analog interfaces, such as pencil and paper, and digital interfaces, such as notation software and Digital Audio Workstations. This document presents a theory of these `compositional interfaces,' and of their effect on the compositional process. Starting with a review of the literature about interfaces in general, and musical interfaces more specifically, the anatomy of the compositional interface is then examined, with a detailed discussion of forms of input, representation, and feedback. Important properties of the interface as a whole---such as latency, openness, and scope---are then discussed, after which two case studies are analyzed. In the final chapter, the role of interfaces is considered within the context of the author's own work.
SpaRCe: Sparse reservoir computing

Sparse neural networks, in which relatively few neurons or connections are active, are common in both machine learning and neuroscience. Whereas in machine learning, is related to a penalty term which effectively leads to some connecting weights becoming small or zero, in biological brains, sparseness is often created when high spiking thresholds prevent neuronal activity. Inspired by neuroscience, here we introduce sparseness into a reservoir computing network via neuron-specific learnable thresholds of activity, allowing neurons with low thresholds to give output but silencing outputs from neurons with high thresholds. This approach, which we term SpaRCe, optimises the sparseness level of the reservoir and applies the threshold mechanism to the information received by the read-out weights. Both the read-out weights and the thresholds are learned by a standard on-line gradient rule that minimises an error function on the outputs of the network. Threshold learning occurs by the balance of two opposing forces: reducing inter-neuronal correlations in the reservoir by deactivating redundant neurons, while increasing the activity of neurons participating in correct decisions. We test SpaRCe in a set of classification problems and find that introducing threshold learning improves performance compared to standard reservoir computing networks.
ENTERPRISE RISK MANAGEMENT IN MALAYSIAN PRIVATE HIGHER EDUCATIONAL INSTITUTION

Enterprise Risk Management (ERM) has become increasingly relevant in recent years, especially due to an increasing complexity of risks. The aim of this paper is to empirically analyse the drivers that determine the implementation of an ERM system to performance of Malaysian Private Higher Educational Institution (PHEIs). Data were gathered from 217 institutions (PHEIs) listed on the Ministry of Higher Education (MOHE) website through a questionnaire survey. The data were collected within six months and were analysed using SmartPLS 3.2.1 software. The analysis shows that both internal factors (Chief Risk Officer, Top Management, Training and Education), and size and types of institutions were impact of ERM on performance (Management, Financial, Marketing). Thus, the hypotheses 1 and 2 were accepted.
Keynote 3: Blockchain — IoT — AI Trust Nexus

Blockchain is the underlying technology behind Bitcoin and it is finding its way in the development of a variety of new software systems. With its innovative approach to decentralized computation and assets management, the blockchain has not only potential to solve a number of system scalability, reliability, security, and privacy issues, but also to revolutionize software systems development in a way similar to what the Internet did. For example, the integration of the blockchain, artificial intelligence (AI), and the Internet of Things (IoT) provides a promising new research and development direction that has generated significant research funding and venture capital investments. However, the lack of explanation when it comes to the decisions made by today's AI algorithms is a major drawback with respect to trust in such systems, e.g., deep neural networks do not offer control or reasoning over their internal processes. In this keynote talk, we present the trust issues common to blockchain — IoT — AI systems and their integration. We present some directions for achieving more trustworthy and explainable blockchain — AI — IoT system integration by leveraging features of blockchain, smart contracts, trusted oracles, and decentralized storage. We discuss a framework for complex AI systems in which the decision outcomes are reached based on decentralized consensuses of multiple AI predictors. Finally, we discuss few key application areas with practical use cases.
The International Conference of MULTIPHYSICS 2020

Presentation at the Multiphysics 2019 conference, arranged by The International Society of Multiphysics, Dubai, 14.12. - 15.12.19. ( http://www.multiphysics.org/details.php ).
WHAT PERCENTAGE OF TEXT SIMILARITY IS EVIDENCE OF PLAGIARISM?

Appears in: ICERI2019 Proceedings Publication year: 2019Page: 11676ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2920Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
A novel method for extracting structural light stripe centerline based on light intensity distribution direction

Structural light measurement as a non-contact measurement method is commonly used in 3D shape detection, which can quickly acquire large-scale points cloud data of 3D surface with high precision. In the development of triangulation structural light sensors, the extraction of the light stripe centerline is the most important research point. Aiming at the problems of large error, high computational complexity and low data processing efficiency in the traditional maximum value based centerline extraction methods, a novel centerline extraction method based on actual light intensity distribution is proposed. Compared with the center line extraction method based on normal direction of light stripe, the discussed method is more suitable to describe the spatial characteristics of light stripe energy structure. It can greatly reduce the amount of calculation, improve processing speed and accuracy. The effectiveness of the proposed method is verified by a practical case of structural light sensor development.