Miracle-dz/UniFAR-FTUs huggingface dataset:
The First Rule of Judging Club…: Inside the Saltire Society Literary Awards

Book awards are a pervasive aspect of contemporary book culture, attracting both substantial media and scholarly attention. They confer prestige, create marketing opportunities, push sales, and contribute to the early stages of canon formation. Yet, beyond occasional media splashes when judges break ranks and disagree, there is little insight into the administrative and decision-making processes inside book awards. This article draws on the autoethnographic experiences of two academic researchers, who were simultaneously participants (as administrator and judge) for the Saltire Society Literary Awards. In so doing, the article gives insight into particular moments within the administration and judging of the awards, such as changes instigated by research findings and debates surrounding gender imbalance in Scottish literary award culture. It also examines some of the challenges of operating as embedded researchers. The article analyses what autoethnographic methods can bring to an understanding of the Saltire Society’s Literary Awards and other cultural awards, and the implications of embedded research and collaborative autoethnography for 21st century book culture scholarship more widely. It reflects upon modes of embedded research by making evident the challenges and dilemmas of researching from the ‘inside’. The ethical framework for such research is far from simple, but in exploring particular moments with perspectives from both inside and outside the judging processes, and in interrogating the practices of literary consecration, the article casts light upon this particular ‘judging club’ and its practices, and illuminates ways in which researchers might consider, orientate, and carry out further research into processes of cultural consecration.
Measurements of Available Bandwidth in Computer Networks

Available bandwidth is one the key challenges that is present in every new developed standard in the computer networks. There are many proposed methodologies in the existing research literature for measuring the available bandwidth. In this paper we will present summary of the main contributions in this field, research problems and solutions and we will present possible ways for improving the suggested solutions in the existing literature. Furthermore, survey of the most important tools for measuring the available bandwidth in wired and wireless networks is presented in details.
Research on privilege-escalating based vulnerability taxonomy with multidimensional quantitative attribute

On the basis of analyzing of research achievements of typical vulnerability taxonomies in the world, a privilege-escalating based vulnerability taxonomy with multidimensional quantitative attribute is presented in this paper. Then we give examples of three vulnerabilities to illustrate the characteristics of this taxonomy, and present the risk evaluation formula and ranks of the evaluation level of risk.
Shelter from the storm: sense of purpose and belonging in men’s sheds in Ireland

The aim of the study was to examine if there was a sense of purpose achieved by males who attend the Men’s Shed in Ireland, and if these members feel a sense of belonging being part of the Men’s Shed. The goal of the research was to explore the importance the Men’s Shed plays in their lives, in areas such as belonging to a group, contributing to the community, completing different projects, and their overall well-being. Qualitative research was conducted using a sample of 5 participants who described their experiences of the Men’s Shed in semi-structured interviews. Interviews were transcribed and then analysed using thematic analysis. Six themes emerged from the dataset along with various sub-themes. The study found positive experiences of members in the Men’s Shed and analysis illustrated that interaction and socialisation are necessary for men throughout their lifetime and can have a major impact on their physical and mental health.
A Time-Event Mapping Method Based Transformation

In the past years, temporal information processing and extraction has received increasing attentions. Nevertheless, only a few researchers have investigated the recognition about corresponding temporal expression of the event in Chinese text. The aim of this paper is to investigate both the temporal information extraction and the determining of mapping relation between event and its temporal expression. As compared to many other techniques, we use a machine learning method, transformation based error driven learning algorithm to determine the time event mapping relation. The method can automatically acquire the analytical rules. The system builds an initial time event tagger firstly. Then by machine learning, the system get a patch rule set to improve the performance of the initial time event tagger. Using the patch rule set, system gets 6.5% error rate decrease for time event mapping relation determination. The experiment indicates that the transformation based error driven learning is a good patch for based rule method.
Adaptive Mesh Refinement for V nsteady, Nonequilibrium, High Speed Flows

Summary An adaptive mesh refinement technique using embedded patches is presented. The technique is especially ori­ ented to the numerical simulation of high speed reactive flows in unsteady regimes. Structured, uniform, orthogonal subgrids of increasing resolution are obtained by means of a recursive, modular procedure. The main merits of the technique are (i) the low computational overhead for subgrid generation and management, (ii) the general formu­ lation of the space-time conditions at the subgrid interfaces, (iii) a suitable formulation of the refinement criterium for unsteady problems, (iv) the straightforward applicability to multidimensional problems. The performances of the metbad are analyzed in onedimensional test cases with special attention to the accuracy obtainable in the description of propagation phenomena.
TO FORGET OR NOT TO FORGET

There are many kinds of spoken languages in the world. Some of these languages are known by everyone, but some have begun to be forgotten or even forgotten. The very oldest communication tool, language, its oldest varieties, its origins have already been wiped out today. But, is it possible to save a language that is about to be forgotten when it is not possible to save a language that has already been forgotten? Should we preserve endangered languages? Some people claim that language is always changing and it is not possible for a language to have the same effect forever. This approach may be true, but it is not correct behaviour that do not care about saying that a language is already forgotten. At the same time, some people believe that a language reflects the culture of a society and therefore, to forget a language means to forget its culture. With the developing technology, the developing commercial intelligence among people and the machine powers that replace human power, the language has constantly improved and changed. This, over time, evolving world of new languages to replace the old languages has led to be more active. But, it does not mean that we must forget the other old languages. At least, we can try to understand these old words, and what people said in there and how they created these symbols to communicate with each other. Each symbols, each words can be different meanings and this makes us to see how they communicated with these languages. Trying to protect their languages is also preserving their cultures and these languages show us their cultures and social experiences. This helps us to recognize the old societies. We should not forget the fact that “One language is one person”. The more languages we know, the more we are, and this makes us a very socially, multicultural individual. The death of a language means the death of a culture, so it is very important that individuals strive to make sure each languages are not forgotten. For example, a family from a different society, go to a different place and speak their own language instead of spoken language in there, it ensures that their own language is accepted, which prevents a language from dying. Thus, every individual keeps alive their own language and culture, which greatly prevents from a language being in danger. Some scientists state that a language is alive as long as it is spoken. However, it does not mean that language is not in danger. Not only talking, but also making sure that language is not forgotten is also a sign that the language is to remain alive. For all these reasons, saving that language means also keeping that language alive. A language should not be forgotten just like not to forget our favourite belongings in somewhere.
Towards Gradual Ownership Types

In this work we present a formal system to annotate programs with ownership types in a lightweight way, allowing only partial information about object owners. We adapt the system of Clarke and Drossopoulou to include gradual types of Siek and Taha. The resulting framework allows one to annotate programs incrementally with ownership types. For fully annotated programs the developed formalism provides a static guarantee of the desired encapsulation invariant, whereas for partially annotated programs necessary dynamic checks are inserted by the compiler.
JSON Schema Validation: A Vocabulary for Structural Validation of JSON

JSON Schema (application/schema+json) has several purposes, one of which is JSON instance validation. This document specifies a vocabulary for JSON Schema to describe the meaning of JSON documents, provide hints for user interfaces working with JSON data, and to make assertions about what a valid document must look like.
DEGRADASI PENCEMAR ORGANIK DALAM LINDI DENGAN PROSES OKSIDASI LANJUT

Tujuan penelitian ini adalah (1) mengetahui karakteristik lindi di TPA Bengkala Singaraja berdasarkan rasio BOD 5 /COD; (2) pengaruh penambahan penambahan katalis TiO 2 terhadap efektivitas penyisihan BOD dan COD lindi dengan menggunakan proses oksidasi lanjut (AOP) sistem UV/H 2 O 2 ; (3) pengaruh pH campuran terhadap efektivitas penyisihan BOD dan COD lindi dengan menggunakan AOP; (4) pengaruh konsentrasi H 2 O 2 terhadap efektivitas penyisihan BOD dan COD lindi dengan menggunakan AOP; (5) waktu reaksi terhadap nilai BOD dan COD lindi dengan menggunakan AOP. Metode eksperimen digunakan untuk mendegradasi lindi dengan dan tanpa katalis dalam reaktor fotokimia. Hasil penelitian menunjukkan bahwa Lindi yang diambil dari cell landfill di TPA Bengkala Singaraja memiliki usia yang hampir matang berdasarkan perbandingan BOD 5 /COD. Penambahan katalis TiO 2 untuk pengolahan lindi dengan sistem UV/H 2 O 2 dapat meningkatkan efektivitas penyisihan BOD dan COD lindi. Efektivitas penyisihan BOD dan COD lindi dengan sistem UV/H 2 O 2 yang optimum terjadi pada pH 8. H 2 O 2 dalam pengolahan lindi dengan sistem UV/H 2 O 2 baik dengan maupun tanpa penambahan katalis TiO 2 dapat meningkatkan efektivitas penyisihan BOD dan COD lindi. Semakin lama waktu reaksi AOP, semakin meningkat efektivitas penyisihan BOD dan COD dalam sistem UV/H 2 O 2 maupun sistem UV/H 2 O 2 /TiO 2 .
Narrative Review: The (Mental) Health Consequences of the Northern Iraq Offensive of ISIS in 2014 for Female Yezidis

The Yezidis who represent a religious minority living in Northern Iraq were particularly affected by the persecution by ISIS (Islamic state of Iraq and Syria, syn.: ISIL—Islamic state of Iraq and the Levant) that gained power after 2013. This paper gives an overview of the events and the mental health consequences on the Yezidi community as well as associated influences on affected female Yezidis. Based on a systematic literature search, the aspects of “Persecution by ISIS and actual situation of the Yezidi community”, “Gender-specific aspects of the persecution and its consequences”, “Mental health of the affected women”, and “Cultural–historical and religious context” are worked out. Research indicates a high burden of health strain and mental health problems in the surviving Yezidi women, especially post-traumatic stress disorders (PTSD) and depression. Concerning transgenerational trauma, the recent genocide has revived past experiences in the history of the community. Like the narrow cultural and religious rules of the community, this can be both a resource and a burden. The actual extent of the attacks is neither predictable for the affected individuals nor for the community, consequences could also be passed onto descendants. Long-term care and support of the affected persons, their descendants, and the Yezidi community seems indispensable.
Investigation on coregistration of polarimetric interferometry data with Cameron decomposition

Conventional polarimetric interferometry SAR image coregistration methods usually use the data of one polarimetric channel only,which is not very accurate.In order to solve this problem,a new coregistraion method making use of Cameron's coherent target decomposition theory is proposed.This method makes use of full polarimetric interferometry SAR data which contains very abundant information to perform coregistration.Finally,the proposed method is applied to the PolInSAR data of Tien Shan area acquired by SIR-C,and it is verified that the proposed algorithm is more accurate and more robust.It is beneficial for the following data processing.
Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps

In the greater part of this thesis, we develop a set of convolutional networks that infer predictions at each pixel of an input image. This is a common problem that arises in many computer vision applications: For example, predicting a semantic label at each pixel describes not only the image content, but also fine-grained locations and segmentations; at the same time, finding depth or surface normals provide 3D geometric relations between points. The second part of this thesis investigates convolutional models also in the contexts of classification and unsupervised learning. To address our main objective, we develop a versatile Multi-Scale Convolutional Network that can be applied to diverse vision problems using simple adaptations, and apply it to predict depth at each pixel, surface normals and semantic labels. Our model uses a series of convolutional network stacks applied at progressively finer scales. The first uses the entire image field of view to predict a spatially coarse set of feature maps based on global relations; subsequent scales correct and refine the output, yielding a high resolution prediction. We look exclusively at depth prediction first, then generalize our method to multiple tasks. Our system achieves state-of-the-art results on all tasks we investigate, and can match many image details without the need for superpixelation. Leading to our multi-scale network, we also design a purely local convolutional network to remove dirt and raindrops present on a window surface, which learns to identify and inpaint compact corruptions. We also we investigate a weighted nearest-neighbors labeling system applied to superpixels, in which we learn weights for each example, and use local context to find rare class instances. In addition, we investigate the relative importance of sizing parameters using a recursive convolutional network, finding that network depth is most critical. We also develop a Convolutional LISTA Autoencoder, which learns features similar to stacked sparse coding at a fraction of the cost, combine it with a local entropy objective, and describe a convolutional adaptation of ZCA whitening.
Application of Soft Computing in Web Intelligence

THESIS SUBMITTED FOR THE AWARD OF THE DEGREE OF Boctor of ^litlofifopfip IN COMPUTER ENGINEERING BY SHAWKI ABDUL RAKIB SAIF AL-DUBAEE Under the Supervision of PROF. NESAR AHMAD DEPARTMENT OF COMPUTER ENGINEERING ALIGARH MUSLIM UNIVERSITY ALIGARH (INDIA) 2010
Digital Image Information Hiding Preprocessing Technology

Multi-image blending and image encryption is an important link of the Image Information Hiding or Image transmission in pretreatment.At first,this paper proposes two kinds of multi-image blending and extracting algorithm based on the idea of arithmetic of line scan and image Bit-plane properties.Then,it proposes a universal digital image dual scrambling and encryption algorithm,which realizes the image's pixel position scrambling based on Chaos sequence and the pixel value scrambling through XOR operation.Theoretical analysis and experimental results show that the algorithm is easy to realize,effective and secure.
Knowledge-based automatic fault detection for dynamic physical systems

Detecting fault before it deteriorates the system performance is crucial for the reliability and safety of many engineering systems. This paper develops an intelligent technique based on fuzzy-genetic algorithm (FGA) for automatically detecting faults on dynamic physical systems. Many researchers have proposed only using fuzzy systems to effect fault detection and diagnosis. Other applications of the FGA are mainly focused on the synthesis of fuzzy control rules. The proposed automatic fault detection system (AFD) monitors the dynamic system states continuously by fuzzy system. The optimization capability of genetic algorithms allows the generation of optimal fuzzy rules with minimum workload. Different system behaviors can be classified by the FGA-AFD system after tuning its rule table. Experiments on a laboratory scale servo-tank liquid process rig are conducted to appraise the performance of the proposed FGA-AFD system. Key-Words: Fault detection, Fuzzy logic, Genetic algorithms
Image composition in computer rendering

In this research, we study image composition in the context of computer rendering, investigate why composition is difficult with conventional rendering methods, and propose our solutions. Image composition is a process in which an artist improves a visual image to achieve certain aesthetic goals, and it is a central topic in studies of visual arts. Approaching the compositional quality of hand-made art work with computer rendering is a challenging task; but there is scarcely any in-depth research on this task from an interdisciplinary viewpoint between computer graphics and visual arts. Although recent developments of computer rendering have enabled the synthesis of high quality photographic images, most rendering methods only simulate a photographic process and do not permit straightforward compositional editing in the image space. In order to improve the visual quality of the digitally synthesized images, the knowledge of visual composition needs to be incorporated. This objective not only asks for novel algorithmic inventions, but also involves research in visual perception, painting, photography and other disciplines of visual arts. With examples from historical painting and contemporary photography, we inquire why and how a well-composed image elicits an aesthetic visual response from its viewer. Our analysis based on visual perception shows that the composition of an image serves as a guideline for the viewing process of that image; the composition of an image conveys an artist’s intention of how the depicted scene should be viewed, and directs a viewer’s eyes. A key observation is that for a composition to take effect, a viewer must be allowed to attentively look at the image for a period of time. From this analysis, we outline a few rules for composing light and shade in computer rendering, which serve as guidelines for designing rendering methods that create imagery beyond photorealistic depictions. Our original analysis elucidates the mechanism and function of image composition in the context of rendering, and offers clearly defined directions for algorithmic design. Theories about composition mostly remain in the literature of art critique and art history, while there are hardly any investigations on this topic in a technical context. Our novel analysis is an instructive contribution for enhancing the aesthetic quality of digitally synthesized images. We present two research projects that develop our analysis into rendering programs. We first show an interpolative material model, in which the surface shading is interpolated from input textures with a brightness value. The resultant rendering depicts surface brightness instead of light energy in the depicted scene. We also
Comment Volume Prediction Using Neural Networks and Decision Trees

The leading treads towards social networking services had drawn massive public attention from last one and half decade. The amount of data that is uploaded to these social networking services is increasing day by day. So, their is massive requirement to study the highly dynamic behavior of users towards these services. This is a preliminary work to model the user patterns and to study the effectiveness of machine learning predictive modeling approaches on leading social networking service Facebook. We modeled the user comment patters, over the posts on Facebook Pages and predicted that how many comments a post is expected to receive in next H hrs. To automate the process, we developed a software prototype consisting of the crawler, Information extractor, information processor and knowledge discovery module. We used Neural Networks and Decision Trees, predictive modeling techniques on different data-set variants and evaluated them under Hits@10(custom measure), Area Under Curve, Evaluation Time and Mean Absolute error evaluation metrics. We concluded that the Decision trees performed better than the Neural Networks under light of all evaluation metrics.
Graphene Fundamentals And Emergent Applications

graphene fundamentals and emergent applications is available in our book collection an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the graphene fundamentals and emergent applications is universally compatible with any devices to read.
Crystal structure of monkeypox H1 phosphatase, an antiviral drug target

The current monkeypox outbreak has caused over 64,000 global cases, but the effective treatments are very limited. The dual specific phosphatase (H1) from monkeypox antagonizes the immune response and is crucial for viral replication, making it an attractive antiviral target. Here we determined a 1.8-Å crystal structure of H1, which forms a domain swapped dimer resembling a butterfly. Each active site, which consists of a Cys-Arg-Asp triad, captures a phosphate ion. The observed conformation mimics the final step of catalysis prior to product release. The crystal structure provides a strong foundation for the discovery of new antivirals against this emerging worldwide pathogen.
Mentalization and the changing aims of child psychoanalysis: (1998)

The interface of empirical work with child psychoanalysis at the Anna Freud Centre is part of the tradition of systematic study and research pioneered over many years by Anna Freud and her colleagues (A. Freud, 1962; Sandier, 1962; A. Freud 1965). George Moran initiated a program of work at the Anna Freud Centre, which, starting with the work on juvenile onset diabetes (Fonagy et al., 1991b), led us to ask fundamental questions about the nature of the child psychoanalysis, with important implications for technique. We acknowledged our debt by dedicating the lecture on which this paper is based to George Moran, whom we see as a worthy successor to Marianne Kris, both of them working within the tradition of Anna Freud. This article starts with observations that imply the need for a change in some aspects of our psychoanalytic model. Throughout child psychoanalysis is used to illustrate both the need for change and the character of the revision that is required. The authors, however, assert that, as is so of.