Reviewerly/exHarmony huggingface dataset:
Approaches to ethical hacking

The ever-changing digital landscape remains more vulnerable than ever with cybersecurity becoming increasingly important to the success of the digital economy and its stakeholders. With models including cloud computing, mobility and IoT systems, understanding how tools and methodologies for security testing have evolved is an important task. In particular, more sophisticated approaches to vulnerability assessment are currently used and necessary to address more complex security vulnerabilities. One of the central tools used in vulnerability testing is penetration testing, along with other techniques that are more broadly classified as ethical hacking. This study addresses the following research questions. (1) What are the current research trends including, current terminology and concepts, used in ethical hacking? (2) What are current challenges and best practices in ethical hacking? (3) In our multiple case-study, how do these findings relate to each case of our three industry case studies in ethical hacking?
Library: ANTH Remote Instruction Resources: Chicago Style

This guide contains various instruction modules that teachers can use for remote library instruction
Analysis Of The Discriminator’s Training In A Simple GAN Model With Statistical Physics Methods

Generative Adversarial Networks (GANs) are artificial neural networks belonging to the class of implicit generative models. GANs achieved the state-of-the-art performance in most unsupervised tasks that require learning how to generate new samples which look statistically indistinguishable from those drawn by an unknown real-world distribution. The main idea behind GANs is to set up a competition between two networks: the generator and the discriminator. These models have emerged as one of the most powerful solutions for realistic image generation and their use encompasses also different applications, such as model-based reinforcement learning or semi-supervised learning. However, a comprehensive understanding of the theoretical conditions underlying the successful training of GANs is still missing. The statistical physics approach could provide useful insights into studying high dimensional models and suggest new directions to tackle these open questions. In the present work, I apply statistical physics tools to conduct the analytic study of the typical performance of the batch learning in a simple model of GAN, with perceptrons as generator and discriminator. This model can be seen as a combination of a rank-1 matrix factorization model and a perceptron problem with structured disorder. Therefore, the result obtained by this GAN model can be compared to the known solution of the analogous rank-1 matrix factorization problem, found without the use of neural networks. The main difference with respect to the perceptron problems previously studied in statistical physics literature is the presence, in this case, of input-output correlations which cannot be easily removed by means of symmetry arguments. I apply Replica theory to study the behaviour of the discriminator during the first step of training, varying the ratio alpha of training examples over the dimensionality of the perceptron’s vector of tunable parameters. I define an order parameter, the magnetization, which captures the ability of the discriminator to recover the structure within the real data, and I study it as a function of the control parameter alpha. I consider the impact of different choices of the perceptron’s activation function on the performance. I find a good agreement between my results and numerical simulations, obtained by training the model with gradient descent. Finally, I discuss about possible implementations of the training dynamics.
The Icelandic Contemporary Treebank (IceConTree)

The Icelandic Contemporary Corpus (IceConTree) is a machine-parsed treebank parsed according to the IcePaHC annotation scheme. It consists of texts from the Icelandic Gigaword Corpus, parsed using the IceNeuralParsingPipeline. It contains 524,601,329 words in 29,929,132 clauses. The treebank consists of 14 texts which are mainly media, law and parliamentary text. Within each text, files are divided according to years. This division was done after the text was parsed and is therefore not completely correct. The texts are labelled according to the following genres:• par: parliamentary text• spe: speech• law: law text• med: text from media• rad: text from radio• onl: text from the Internet• tel: text from television• enc: encyclopedia
Laws of Science and Laws of Nature in an Evolutionary Knowledge Ecology

Laws of Science and Laws of Nature in an Evolutionary Knowledge Ecology. In: Understanding the Nature of Science. Nova Scientific Publishers (NOVA) ISBN: 978-1-53616-016-1 Table of Contents Preface Chapter 1. On the Nature of Fluid-Dynamics (Marcello Lappa, Department of Mechanical and Aerospace Engineering, University of Strathclyde, Glasgow, UK) Chapter 2. Laws of Science and Laws of Nature in an Evolutionary Knowledge Ecology (Gordana Dodig-Crnkovic, Computer Science and Engineering Department, Chalmers University of Technology, Gothenburg, Sweden) Chapter 3. The Potential of Problem-Based Learning to Promote Nature of Science Understanding: Using a History and Nature of Science-Enriched Problem (Cristina Sousa, Faculty of Sciences, Universidade do Porto, Porto, Portugal)
Research Guides: ADV 208: The Big Idea in Advertising (Fall 2020): Locating Books on Advertising

An SU Libraries research starting points guide for students enrolled in ADV 208 (course sections taught by Profs Brian Sheehan and Mel White)
Library: ANTH Remote Instruction Resources: Assignment Resources

This guide contains various instruction modules that teachers can use for remote library instruction
Correction to: Geochemical contamination in the Densu Estuary, Gulf of Guinea, Ghana

The correct equations are presented below.
Image dehazing based on microscanning approach

Over the past two decades, methods have been proposed for deaerating images, and most of them use a method of improving or restoring images. An image without haze should have a higher contrast than the original hazed image. It is possible remove haze by increasing the local contrast of the restored image. Some haze removal approaches estimate a hazed image from the observed hazed scene by solving an objective function whose parameters are adapted to the local statistics of the hazed image inside a moving window. Common image dehazing techniques use only one observed image for processing. Various variants of local adaptive algorithms for single image dehazing are known. A dehazing method based on spatially displaced sensors is also described. In this presentation, we propose a new dehazing algorithm that uses several scene images. Using a set of observed images, the dehazing of the image is carried out by solving a system of equations, which is derived from the optimization of the objective function. These images are made in such a way that they are spatially offset relative to each other and made in different time. Computer simulation results of are presented to illustrate the performance of the proposed algorithm for the restoration of hazed images.
Analisis Jumlah Penyewaan Kamar Hotel Menggunakan Pentaho BI Berbasis Data Warehouse

Analysis is one of the most important things done for companies to conduct performance evaluations in order to know the strengths and weaknesses contained in a company. Therefore, this study aims to make a report on the rental of hotel rooms for a month that is useful in determining the promotion of equal distribution of all types of hotel room lodging in a case study at the Grand Santhi Hotel located in Kota Denpasar, Bali. The solution of the existing problem is to use open source Pentaho BI to create reports that simplify analysis. The data will be created in a multi-dimensional design to facilitate the application of data warehouse design and system design that has been created.
Special Issue on Adaptive Motion of Animals and Machines

We are pleased to announce the special issue on Adaptive Motion of Animals and Machines. Adaptive behavior is a meeting point between animal and machine intelligence. Engineers can realize adaptive...
Onboard Visual Control of a Quadcopter MAV performing a Landing Task: on a Platform of Unknown Size and Location

Vision based control allows Micro Air Vehicles (MAV) to move autonomously in GPS-denied environments, for example in indoor applications. An open issue in this field is landing on an unknown platform. The difficulty in visual control w.r.t. such an unknown platform, is a lack of scale. Without knowledge of the scale of offsets and object sizes (without height knowledge from GPS) it is difficult to determine an appropriate response from the controller. A control algorithm is designed to fit these requirements using an adaptation of an optical flow divergence based landing scheme, combined with an Image Based Visual Servoing approach applied to features in the Virtual Camera. The approach leads to satisfactory behavior in Gazebo simulations. It results in a robust controller for a range of starting heights and divergence settings.
What's Next in Sustainable Acoustic Materials?

As industries have begun to rethink the way they design, make and dispose of products for the purpose of sustainable development, manufacturers of acoustic products have been slow off the mark. The majority of acoustic products are still made of primarily virgin material made from petrochemical resources, which have a significant impact on the environment. This is problematic from an environmental standpoint, but also a commercial, as society is starting to favor materials fitting into a circular economy. Thus, consumers might break companies based on poor environmental strategy and branding. As it is clear that well designed acoustic environments can lead to improved wellbeing, an area which has gained recognition in the later years, it is important that acoustic products keep up with the new green economy. The purpose of this thesis was to answer the question, “What’s next in sustainable acoustic materials?”, with the presumption that a truly sustainable material for an acoustic solution already exists but has not yet been applied in an acoustic product. In this thesis, already existing (or upcoming) materials were evaluated with regards to their environmental properties, their applicability in acoustic products and how the materials with the highest potential could be used in an acoustic solution. Two distinct areas of interest characterize this thesis; firstly the material selection and its complexity regarding sustainability and secondly the development of an acoustic concept, BAUX Flight Mode, based on the aforementioned selection. The material search and selection process culminated in a list of 90 materials, which was filtered down to 12 materials with the help of a scoring system and later 3 through discussions and further analysis. The final design proposal, BAUX Flight Mode, was based on one of these materials, Circulose, which are cellulosic pulp sheets made from textile waste. The concept makes use of these sheets by joining them together and extending them around a wooden billet fastened in a wooden base unit. An important aspect permeating the whole concept being that it is easily assembled and disassembled without the use of any additional parts, as well as being easily recyclable in an existing system. The conclusion is that the generated design proposal is considered to provide a foundation onto which BAUX can develop a new, sustainable and unique product on the market, while at the same time offering the opportunity to redesign their business model. (Less)
On the existence of s-extremal singly even self-dual codes

We construct new [Formula: see text]-extremal singly even self-dual codes with minimum weights [Formula: see text] and [Formula: see text]. We also give tables for the currently known results on the existence of [Formula: see text]-extremal singly even self-dual codes with minimum weights [Formula: see text] and [Formula: see text].
A multi-source approach for Breton–French hybrid machine translation

Corpus-based approaches to machine translation (MT) have difficulties when the amount of parallel corpora to use for training is scarce, especially if the languages involved in the translation are highly inflected. This problem can be addressed from different perspectives, including data augmentation, transfer learning, and the use of additional resources, such as those used in rule-based MT. This paper focuses on the hybridisation of rule-based MT and neural MT for the Breton–French under-resourced language pair in an attempt to study to what extent the rule-based MT resources help improve the translation quality of the neural MT system for this particular under-resourced language pair. We combine both translation approaches in a multi-source neural MT architecture and find out that, even though the rule-based system has a low performance according to automatic evaluation metrics, using it leads to improved translation quality.
Why Are We All Too Familiar With Headphones Attached to a Wall? (Or, a Brief History of Sound-Art Curating)

From the 1960s through the 1980s, an ever-expanding exploration of sound occurred within the visual arts field, helping give birth to Sound Art (and its exhibition) as a unique genre. The sum of Sound Art shows has grown exponentially over time, reaching into major Western art institutions and beyond. Lending such space and resources to this category, and in such a focused manner, has invited possibilities for curators to develop more substantial investigations into a diverse range of rapidly emerging sonic practices. This essay focuses on the influence curators have had on the production, positioning and reception of Sound Art.
The Transition Process of Using Visual Texts in Korean Language Education: A Focus on Beginner’s Textbooks of University Institutions recently 30 years

This study analyzed Korean language textbooks focusing on how and for what purpose visual texts have been used over the last 30 years. The analysis centered on types of visual texts, changes in language usage, and methods of composing textbook units. The result of the analysis shows that there were changes in the use of images one of the types of visual texts at the unit introductory section. And visual texts were used only partially in the vocabulary section, but recently they are used also in teaching and learning grammar. Furthermore, the study also found that visual texts were used only in part of the textbook unit composition, but recently they are used in all parts of it. The Korean language education is generally divided into several areas such as vocabulary, grammar, listening, speaking, reading, and writing. This study is meaningful because, in each of these areas, it analyzed how visual texts have been used for teaching and learning.
LibGuides: ENG 111 - Moore: Get Help

This guide provides direct links to resources for ENG 111(Moore). Options for receiving help from librarians
The Legal Scheme for Mobile Telecommunications Companies and Social Media Platforms to Retain Location Information

This Chapter describes the legal framework to retain location information. It starts with a discussion of the key legal and technical concepts used to refer to the types of data to be collected and retained, based on technical description of how the telecommunications network operates. The discussion shows that the legal label placed on the information is crucial, because based on the legal name, the legal powers to access and use it are determined. As such, location information is legally classified as telecommunications data and simply because of this legal classification, does not require a judicial warrantto collect, disclose and use. There are certain types of location information the Australian telecommunications companies are not required to retain. The Telco may therefore retain certain types of location information voluntarily. The chapter also discusses the legal exclusions to the duty to retain location information and critically analyses the negative impact of the discretion granted to the Telco to retain location information voluntarily and for longer periods, for its commercial purposes. This information remains available for the agencies to collect, and thereby has a chilling effect on the exercise of the right to free movement, civil and property rights.
Depth range reduction for 3D range geometry compression

Three-dimensional (3D) shape measurement devices and techniques are being rapidly adopted within a variety of industries and applications. As acquiring 3D range data becomes faster and more accurate it becomes more challenging to efficiently store, transmit, or stream this data. One prevailing approach to compressing 3D range data is to encode it within the color channels of regular 2D images. This paper presents a novel method for reducing the depth range of a 3D geometry such that it can be stored within a 2D image using lower encoding frequencies (or a fewer number of encoding periods). This allows for smaller compressed file sizes to be achieved without a proportional increase in reconstruction errors. Further, as the proposed method occurs prior to encoding, it is readily compatible with a variety of existing image-based 3D range geometry compression methods.
Teaching Machines: Platforms, pedagogies and the wicked problem of design thinking

In the midst of a pandemic and associated economic crisis, the social and ethical imperatives of critically engaged pedagogies are arguably more urgent than ever. Pedagogy is at risk within the neoliberal university, subsumed by a homogeneous free-market business ontology which frames subjects as entrepreneurial, enfolding us all in what we might call a ‘hidden curriculum’. Data-driven corporations are increasingly able to define for all of us what knowledge is; for them, the pandemic is an opportunity to gain even more control over the globalised ‘episteme’. How then, in the context of Art and Design education can we resist the forces of neoliberalism, and instead support a pedagogy which, as Coles suggests (2014), should provoke students ‘to demand equality for themselves and others’? This paper presents a diffracted pedagogy, informed by the ongoing principles of Design Justice and a posthuman re-formulation of agency, questioning structural forces of technology (McQuillan, 20219) and avoiding what McQuillan describes as the framing of ‘society as categories of actuarial risk’ in which people's lives are filtered through ‘the epistemology of insurance and instrumentalism’ (ibid). This aligns with Giroux’s plurality of voices but also encompasses an extended concept of agency and process, as proposed by a posthuman, or Inhuman pedagogy. In particular, this paper critiques the colonial, not to say white supremacist, constructs which underpin ‘Design Thinking’, an approach to design and education which is still pervasive within UK Art and Design colleges and deeply embedded in the construction of teaching platforms. Examples of student- led platforms such as Strike Radio will be offered as a counter to the neoliberal academy.
LibGuides: Virtual Library Tour - Fall 2020: Home

This guide is set up specifically for a sort of COVID orientation to the library, as well as a general hub of information for people that may not be familiar with how to use the library.
A Study on Exploration of Implications through Analysis of Chinese Traditional Curriculum and Education Method

The purpose of this study is to explore what parts of traditional Chinese curriculum and methods can be used in education today. From the perspective of epistemology, learning theory, and the theory of discipline, the curriculum was outlined, and the dialectic method of confrontation, change, and unification of "Adversity" was applied to analyze the curriculum concretely, and emphasized the dialectic relationship between intellectual and act And grasped the process of knowledge and personality. Therefore, the learning process and the process of realizing life values are organically combined. There are two minds that are important in education. In other words, it is the knowledge and moral aspects. Moral practice must be sincere, and the pursuit of knowledge must be sincere. The conclusion of this study is that if you think of life as a process in which personality is constantly being completed, the curriculum and educational methods should naturally focus on personality education.
An Approach to Improved MapReduce and Aggregation Pipeline Utilizing NoSQL Technologies

Technology has been changed in the most recent decade. Along these lines, we wanted proficiently systems that help ongoing examination over tremendous information. NoSQL got popularity in the mid-twenty-first century because of the improvement of disseminated computing, issues of organizations that requires the usage of Web and data genuine organizations. NoSQL (Not Only SQL) development consolidates a wide scope of database propels that were made in light of the limit of a significant volume of customer data. We start up this structure MongoDB which is appropriate for constant information because of aggregation systems, question execution, and circulated engineering, which Resulting in an assortment of non-social databases, for example, JSON-report databases. In versatile applications, database highlights can be particularly broke down for the customer and the server layers. The real-time huge-scale information investigation procedure is significant for continuous applications, dealing with high access repeat, execution of system and treatment of the data. RDBMS has a sorted out kind of data that are used in various applications for a long time, the data is taken care of in Relations and it is taken care of in a huge way, anyway now there is need to store and manage a great deal of data which cannot be taken care of by standard RDBMS. NoSQL development is a response for crushed this segment of the RDBMS by giving a capable strategy for taking care of and regulating various types of data with an immense proportion of datasets. In this paper, an execution examination is done on chronicle orchestrated databases: MongoDB. The record arranged database is a class of the NoSQL databases where the data is taken care of in JSON like reports.
THE USE OF PERSONAL VOCABULARY NOTE (PVN) TO TEACH VOCABULARY

The objective of this study is to discover the effect of Personal Vocabulary Note (PVN) on the students vocabulary achievement. This form of research is a pre-experimental study. The research population on this research was the eighth-grade students that consisted of 43 students of SMP Negeri 1 Mempawah Timur. By using cluster random sampling, the sample was VIII B class, consisted of 21 students. The data on this study was gathered through a written test in form of multiple choice. The data showed that the alternative hypothesis (Ha) was accepted and the null hypothesis (H0) was rejected, means that Personal Vocabulary Note (PVN) affect significantly in teaching vocabulary for the eighth-grade students in SMP Negeri 1 Mempawah Timur. The result of t-test was 12.61. It was higher than t-critical(12.61 &gt; 2.086). Finding also showed that the score of the effect size of the treatment was 2.73 and categorized as strong effect. It can be concluded that Personal Vocabulary Note (PVN) give a strong effect on vocabulary achievement of the eighth-grade students of SMP Negeri 1 Mempawah Timur in Academic Year 2019/2020.
Conclusion: Restoring the Balance of Power

We started with a note that the balance of power between the Agencies, the Telco, the ISP and the MSP, on the one-side and the individual on the other, is off-kilter. This chapter connects the dots between the various chapters, highlighting the need to restore the balance of power, by introducing a judicial warrant for location information in Australia. Restoring the balance is necessary if location information is to be used along with Big Data analytics algorithms, powered by artificial intelligence, to create and store profiles of persons that happen to be of interest to the Agencies.