Miracle-dz/UniFAR-FTUs huggingface dataset:
The art book

The Art Book is the first ever fully-illustrated art dictionary. It presents an abundance of famous, varied and colourful images by 500 of the greatest artists from the Middle Ages to the present day. Arranged in alphabetical order by artist, it is amazingly easy to use. With one full page, representative image per artist and an informative text that discusses the work in detail as well as offering information about its creator, The Art Book is both educational and fun. Presenting an entirely fresh way of looking at art, this book is an invaluable resource for reference and inspiration in every home, school, library or studio. Ideal for anyone new to art, it also serves as a visual sourcebook for teachers and designers, and will be a constant source of stimulus and delight for anyone wishing to look at art in a new light. Winner of the Illustrated Book of the Year award in 1994, The Art Book has been an outstanding success and become a universally acclaimed landmark in the world of art. Now published in over 20 different languages and also in mini, midi and hardback formats, it has received rave reviews from countless newspapers and magazines and has made many appearances on the bestseller lists. Complemented by The 20th Century Art Book and The American Art Book, its unique approach brings art to life, in all its magnificent diversity. An A-Z guide to 500 great painters and sculptors from medieval to modern times, it debunks art-historical classifications by throwing together brilliant examples of all periods, schools, visions and techniques.
Rapid synthesis of hollow Ag-Au nanodendrites in 15 seconds by combining galvanic replacement and precursor reduction reactions.

Metallic nanomaterials displaying hollow interiors as well as sharp tips/branches at their surface (such as hollow nanodendrites) are attractive, because these features enable higher surface-to-volume ratios than their solid and/or rounded counterparts. This paper describes a simple strategy for the synthesis of Ag-Au nanodendrites in 15 s using Ag nanospheres prepared in a previous synthetic step as seeds. Our approach was based on the utilization of Ag nanospheres as seeds for Au deposition by a combination of galvanic replacement reaction between Ag and AuCl4(-)(aq) and AuCl4(-)(aq) reduction using hydroquinone in the presence of polyvinylpyrrolidone (PVP) as a stabilizer and water as the solvent. The produced Ag-Au nanodendrites presented monodisperse sizes, and their surface morphologies could be tuned as a function of growth time. Owing to their hollow interiors and sharp tips, the Ag-Au nanodendrites performed as effective substrates for surface-enhanced Raman scattering (SERS) detection of 4-MPy (4-mercaptopyridine) and R6G (rhodamine 6G) as probe molecules. We believe that the approach described herein can serve as a protocol for the fast and one-step synthesis of Ag-Au hollow nanondendrites with a wide range of sizes, compositions, and surface morphologies for applications in SERS and catalysis.
Semantic Place Understanding for Human–Robot Coexistence—Toward Intelligent Workplaces

Recent introductions of robots to everyday scenarios have revealed unprecedented opportunities for collaboration and social interaction between robots and people. However, to date, such interactions are hampered by a significant challenge: having a semantic understanding of their environment. Even simple requirements, such as “a robot should always be in the kitchen when a person is there,” are difficult to implement without prior training. In this paper, we advocate that robot–people coexistence can be leveraged to enhance the semantic understanding of the shared environment and improve situation awareness. We propose a probabilistic framework that combines human activity sensor data generated by smart wearables with low-level localization data generated by robots. Based on this low-level information and leveraging colocation events between a user and a robot, it can reason about the two types of semantic information: first, semantic maps, i.e., the utility of each room and, second, space usage semantics, i.e., tracking humans and robots through rooms of different utilities. The proposed system relies on two-way sharing of information between the robot and the user. In the first phase, user activities indicative of room utility are inferred from wearable devices and shared with the robot, enabling it to gradually build a semantic map of the environment. In the second phase, via colocation events, the robot teaches the user device to recognize the type of room where they are colocated. Over time, robot and user become increasingly independent and capable of semantic scene understanding.
User involvement: Substance or spin?

Background: Department of Health policy guidelines state that people who use mental health services should be involved in all levels of planning and delivery of care they receive. Service standards were introduced in a mental health rehabilitation service to address user involvement in staff recruitment, service evaluation, organisation and planning, staff training, advocacy, care planning and self-assessment. Aims: To audit the user involvement service standards. To identify further improvements for user involvement and to consider whether user involvement influenced the culture of care. Method: A collaborative action-orientated partnership between a user-researcher group and a clinical psychologist was used. Structured interviews with staff were undertaken to ascertain the levels of implementation of service standards addressing user involvement. Results: High levels of user involvement were found for staff recruitment, planning and organising services and regular meetings for users. Established but less successful levels in such areas as annual surveys eliciting users' views, evaluation of services and self-assessment. Modest levels of user involvement were found for staff training and links with advocacy services. Conclusions: User involvement addresses some of the current limitations in the conceptual frameworks adopted to describe mental distress. Further development of user involvement requires the continued support of staff and additional resources from health services. Declaration of interest: None.
Robust reliable decentralized control

Several researchers have considered the analysis of control system reliability for systems without plant/model mismatch. In this manuscript we review several of these proposed analysis tools, including some of the strongest, and show that the results are either conservative, computationally expensive, or incorrect. We then develop necessary and sufficient conditions for many forms of reliability defined in the literature, and since the model is always an imperfect representation for the true process, we extend the resulting analysis tools to uncertain systems.
Detection of Duplicate Nodes in Wireless Sensor Networks Using Sequential Probability Ratio Testing

2 ABSTRACT: In wireless sensor networks(WSN), there are many nodes and they are unattended so an adversary can easily capture and compromise the sensor nodes and take secret key from the nodes then make many replicas(duplicate) of them. After getting the secret key from the sensor node the sensitive data which is present in the nodes get leaked so an adversary can quickly degrades the network communication. To avoid this node compromised attack we use sequential probability ratio testing (SPRT). In literature several compromised node detection works well in static sensor networks and they do not work well in mobile sensor networks. Using SPRT we detect the compromised node in mobile sensor networks. This paper show analytically and through ns2 simulation experiments that the scheme detects duplicate node in an efficient and robust manner.
The Nonverbal Image of Political Parties and Politicians: Analysis of Jokowi-Jusuf Kalla Campaign on 2014 Indonesia Presidential Election

The role of political communication in election is important and it becomes the basic tool to win the election. This fact is supported by several election events, where the non-verbal image of politician and political parties during campaign could greatly affect the result. This paper use case study method and data collection uses documentation. In this research, sources of information are gathered from textbook and article in online media. In this paper, the case study focus on Jokowi- Jusuf Kalla as candidate, who used non-verbal image in their political marketing. It is reflected in their costume and their banner. Jokowi used checkered-board shirt that symbolized youthful. Meanwhile, his opponent, Prabowo, used white suit that similar to what Soekarno used, which represents firmness. Beside the costume, Jokowi targeted young generation by cooperating with musicians and the campaign team held a concert which was attended by tons of artists. It legitimates Jokowi image as a young-spirited politicians that can interact with wide variety of audiences. Image also plays an important role to attract the voters. It is shown in survey, where respondents chose their leaders based on their figures, rather than their visions and missions. Nonverbal image was proven to be effective in 2014 Indonesia presidential campaign, because Jokowi-Jusuf Kalla did win the election with 53.15% votes. Content of political campaign will affect “buyers” (society) to determine which candidate that will be chosen. In this case, Jokowi-Jusuf Kalla banners were innovative and creative, in order to attract the society to vote for them.
Designing Collaborative Infrastructures to Support Distributed Work

A growing proportion of contemporary organizational work takes place in the context of distributed collaborative environments which involve the interaction of multiple organizations with distinct areas of expertise, technologies, and work practices. In this research-in-progress, we develop a three-part model of the facets of collaborative infrastructure that support such distributed collaborative environments. We argue that collaborative infrastructures inherently reflect the interplay of practices, artifacts, and discourse. Specifically, our model asserts that the development of shared practices and artifacts by organizations engaged in collaboration is mediated by the emergence of common discourses between the parties. The preliminary theorizing developed in this paper is based on multiple case study analyses of collaborative projects in the areas of architecture, engineering, and construction (AEC) and software development and implementation. Our initial research suggests key areas of consideration by collaboration leaders in the development of collaborative infrastructures for distributed work.
Video summarization: methods and landscape

The ability to summarize and abstract information will be an essential part of intelligent behavior in consumer devices. Various summarization methods have been the topic of intensive research in the content-based video analysis community. Summarization in traditional information retrieval is a well understood problem. While there has been a lot of research in the multimedia community there is no agreed upon terminology and classification of the problems in this domain. Although the problem has been researched from different aspects there is usually no distinction between the various dimensions of summarization. The goal of the paper is to provide the basic definitions of widely used terms such as skimming, summarization, and highlighting. The different levels of summarization: local, global, and meta-level are made explicit. We distinguish among the dimensions of task, content, and method and provide an extensive classification model for the same. We map the existing summary extraction approaches in the literature into this model and we classify the aspects of proposed systems in the literature. In addition, we outline the evaluation methods and provide a brief survey. Finally we propose future research directions based on the white spots that we identified by analysis of existing systems in the literature.
Fast robust detection of edges in noisy depth images

Abstract. Depth edges play an important role in depth image upsampling. Many recent upsampling methods rely on the prior images of depth edges to preserve sharp depth edges in restored depth images. However, recent depth edge detection methods are not robust against the noise in depth images. Some methods are also too time-consuming. We propose a method to efficiently detect edges in depth images. The proposed method is very simple but very robust against the noise in depth images. It is also fast and has near O(1) implementation. We apply the proposed method to the existing edge guided depth image upsampling. Experimental results on both simulated and real data show the effectiveness of the proposed method.
Watermarking Vector Graphics Based on Complex Wavelet Transform

This paper presents a new method of digital watermarking of 2D vector graphics to protect its authority. The watermark is embedded in the complex wavelet domain of relative coordinates line. Robustness to some common manipulations, such as translation, rotation scaling and local modification, have been proved by preliminary experimental results.
An asset-based systems development approach to software reusability

Software reusability has been viewed as one of the major opportunity areas for improving software productivity. An overview of software reusability research suggests that the traditionalapproach to software development is inappropriate for the development of reusable software parts. An organizational strategy for making software reusability practical is needed. An asset-based systems development method, based on this strategy, focuses on the development of information assets designed to be reused. It also facilitates identifying, representing, and classifying information assets.
An Overview of Higher Education in the United States: Diversity, Access and the Role of the Marketplace

U.S higher education borrows its structure from both the British undergraduate college and German research university, but its character is profoundly influenced by major philosophical beliefs that shape American public life. During the 20th century, economic and social changes transformed higher education into a primary gateway to the middle-class, and women and minorities made inroads against longstanding exclusion from mainstream higher education. Americans came to view broad access to higher education as a necessary component of the nation’s ideal as a “land of opportunity. ” In this regard, U.S. higher education reflects essential elements of the American character: independence, suspicion of government, ambition, inclusiveness, and competitiveness. This publication describes the major characteristics of American higher education and important issues that challenge it, linking back as appropriate to these essential philosophical underpinnings. URI http://hdl.handle. net/10919/84029 Collections Higher Education Policy for Minorities in the United States [650] License: Attribution-NoDerivatives 4.0 International A Lost Decade in Higher Education Funding State Cuts Have Driven up Tuition and Reduced Quality ​ Mitchell, Michael; Leachman, Michael; Masterson, Kathleen (Center on Budget and Policy Priorities, 2017-08-01) A decade since the Great Recession hit, state spending on public colleges and universities remains well below historic levels, despite recent increases. Overall state funding for public twoand four-year colleges in the . Helping or Hindering? State Policies & Latino College Completion ​ Santiago, Deborah A. ; Calderón G. , Emily (Excelencia in Education, 2015-03-01) With support from the Ford Foundation, Excelencia in Education conducted data analysis and preliminary policy audits in three key states--California, Colorado and Texas-to consider existing state policies most obviously . Higher Education in California: An introduction to the state’s public colleges & universities ​ The Campaign for College Opportunity (The Campaign for College Opportunity, 2016-07-01) This report illustrates the state of California’s public colleges & universities. It includes the governance, funding, financial aid, accountability and system coordination. An overview of higher education in the United States: Diversity, access and the role of the marketplace 
Molecular heterogeneity and angiogenesis in glioblastoma

Het doel van dit proefschrift was het onderzoeken van de moleculaire diversiteit en de de rol van angiogenese in glioblastomen van verschillende moleculaire subtypen. De kenmerken van transcriptionele subtypen werd bestudeerd door deze initieel op eiwitniveau te definieren, en vervolgens door de kinase activiteit en vaatpatronen te onderzoeken. De plasticiteit van deze subtypen is tevens onderzocht, en het tweede deel van het proefschrift richt zich op de rol van angiogenese in algemene zin, en wordt afgesloten met onderzoek naar de mate waarin dit compartiment therapeutisch te benaderen is.
Multi-channel multi-point distribution service system transceiver implementation

This paper presents the hardware implementation of a high-speed transceiver to be used in a multi-channel multi-point distribution system (MMDS). Based on standards specifications, various building blocks are implemented using FPGA prototypes. It has been found that data integrity protection is expensive to implement, namely the forward error correction scheme in the transceiver. This includes Reed-Solomon codec and byte interleaving to correct both random and burst errors causing by the channel. Results show a data rate of 80 Mbit/s can be achieved using FPGA prototypes. Higher data rates are expected when final ASICs are developed.
Improved synthesis of gain-boosted regulated-cascode CMOS stages using symbolic analysis and gm/ID methodology

A systematic study of the gain-boosted regulated-cascode operational transconductance amplifier (OTA) CMOS stage is presented. Symbolic analysis is used first to describe the pole-zero behaviour and second to propose design criteria for optimal settling time. A synthesis procedure based on the “gm/ID” methodology is considered further on for quick optimization of the architecture based on the dc open-loop gain, transition frequency, and settling time specifications. Practical design cases are finally discussed.
Acute kidney injury in pediatric hematopoietic stem cell transplant recipients

Abstract Acute kidney injury is common after pediatric hematopoietic stem cell transplant with a reported incidence of 21–55% in the first 3 mo after transplant. Acute kidney injury is associated with decreased survival and the development of chronic kidney disease in this patient population. In this review, current definitions of acute kidney injury are discussed. The epidemiology and risk factors for acute kidney injury in this patient population are described, and current hypotheses on the pathophysiology are reviewed. Current and emerging ideas about changes to management strategies to mitigate acute kidney injury are presented, and areas for further research are proposed.
3D Scanning for Biometric Identification and Verification

Reliable and robust identification and verification of individuals is critical to homeland security applications such as surveillance, authorization for entry to secure areas, and passport identity verification. Traditional biometrics, such as mug shots, fingerprints, and voice recognition, have been used with some success. However, they exhibit serious disadvantages for some tasks. These three biometrics, for example, are problematic for surveillance (identification); even the traditional mug shot is difficult to use in automated surveillance applications because many factors, such as lighting and frontal visibility, cannot be controlled.
Alexa Prize - State of the Art in Conversational AI

To advance the state of the art in conversational AI, Amazon launched the Alexa Prize, a 2.5 million dollar competition that challenges university teams to build conversational agents, or "socialbots", that can converse coherently and engagingly with humans on popular topics for 20 minutes. The Alexa Prize offers the academic community a unique opportunity to perform research at scale with real conversational data obtained by interacting with millions of Alexa users, along with user-provided ratings and feedback, over several months. This enables teams to effectively iterate, improve and evaluate their socialbots throughout the competition. Sixteen teams were selected for the inaugural competition last year. To build their socialbots, the students combined state-of-the-art techniques with their own novel strategies in the areas of Natural Language Understanding and Conversational AI. This article reports on the research conducted over the 2017-2018 year. While the 20 minute grand challenge was not achieved in the first year, the competition produced several conversational agents that advanced the state of the art, are interesting for everyday users to interact with, and help form a baseline for the second year of the competition.
Random iterative models

From the Publisher: The recent development of computation and automation has led to quick advances in the theory and practice of recursive methods for stabilization, identification and control of complex stochastic models (guiding a rocket or a plane, organizing multi-access broadcast channels, self-learning of neural networks.). This book provides a wide-angle view of those methods: stochastic approximation, linear and non-linear models, controlled Markov chains, estimation and adaptive control, learning. Mathematicians familiar with the basics of Probability and Statistics will find here a self-contained account of many approaches to those theories, some of them classical, some of them leading up to current and future research. Each chapter can form the core material for lectures on stochastic processes. Engineers having to control complex systems will find here algorithms with good performances and reasonably easy computation.