Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure Signal Processing in the Cloud

In recent years, the paradigm of Cloud Computing has become a very appealing concept both for providers, that can benefit from hiring out their extra computation and storage resources, and for users, that can avoid the initial investment on resources by outsourcing their processes and data to a cloud. This game changer concept of outsourcing has also arrived at multimedia processing, and cloud technology has become an idoneous platform to deliver multimedia processing services. Nevertheless, privacy-aware multimedia applications dealing with sensitive signals find an insurmountable barrier in the privacy issues derived from the fuzzy nature of processing and location of an untrusted environment like a cloud. This paper provides a comprehensive overview that takes a look at the role of Signal Processing in the Encrypted Domain in providing a practical solution for privacy-preserving multimedia cloud processing, highlighting prototypical outsourced applications, like secure adaptive filtering and private eHealth. We cover the theoretical framework for privacy, involving privacy measures, and also practical approaches, with a special emphasis on noninteractive solutions based on fully homomorphic encryption, discussing their actual applicability, tradeoffs and practicality and foreseeing the future advances that will revolutionize the field of noninteractive private outsourcing of multimedia processes.
Iop Publishing Journal of Micromechanics and Microengineering Self-assembly from Milli-to Nanoscales: Methods and Applications

The design and fabrication techniques for microelectromechanical systems (MEMS) and nanodevices are progressing rapidly. However, due to material and process flow incompatibilities in the fabrication of sensors, actuators and electronic circuitry, a final packaging step is often necessary to integrate all components of a heterogeneous microsystem on a common substrate. Robotic pick-and-place, although accurate and reliable at larger scales, is a serial process that downscales unfavorably due to stiction problems, fragility and sheer number of components. Self-assembly, on the other hand, is parallel and can be used for device sizes ranging from millimeters to nanometers. In this review, the state-of-the-art in methods and applications for self-assembly is reviewed. Methods for assembling three-dimensional (3D) MEMS structures out of two-dimensional (2D) ones are described. The use of capillary forces for folding 2D plates into 3D structures, as well as assembling parts onto a common substrate or aggregating parts to each other into 2D or 3D structures, is discussed. Shape matching and guided assembly by magnetic forces and electric fields are also reviewed. Finally, colloidal self-assembly and DNA-based self-assembly, mainly used at the nanoscale, are surveyed, and aspects of theoretical modeling of stochastic assembly processes are discussed.
Interaction Design for Complex Cognitive Activities with Visual Representations: A Pattern-Based Approach

This paper is concerned with interaction design for visualization-based computational tools that support the performance of complex cognitive activities, such as analytical reasoning, sense making, decision making, problem solving, learning, planning, and knowledge discovery. In this paper, a number of foundational concepts related to interaction and complex cognitive activities are syncretized into a coherent theoretical framework. This framework is general, in the sense that it is applicable to all technologies, platforms, tools, users, activities, and visual representations. Included in the framework is a catalog of 32 fundamental epistemic action patterns, with each action pattern being characterized and examined in terms of its utility in supporting different complex cognitive activities. This catalog of action patterns is comprehensive, covering a broad range of interactions that are performed by a diverse group of users for all kinds of tasks and activities. The presented framework is also generative, in that it can stimulate creativity and innovation in research and design for a number of domains and disciplines, including data and information visualization, visual analytics, digital libraries, health informatics, learning sciences and technologies, personal information management, decision support, information systems, and knowledge management.
A Framework for Volatile Memory Forensics

Current techniques used by investigators during search and seizure operations typically involve pulling the plug on the suspect’s machine and performing a post-mortem analysis of the contents of persistent storage. This process can potentially result in loss of volatile state such as the contents of memory which may contain vital information such as active network connections, encrypted disk sessions and running processes. We have designed a framework, ForenScope, for volatile state analysis which allows the investigator to control and explore a suspect’s machine through an interactive bash shell even if it is protected by logon or screen saver protection. Our tool relies on memory remanence properties to patch and alter the memory image of an operating system across a forced reboot to defeat authentication, neutralize antiforensics software and scan for evidence of interest. To preserve the forensic integrity of the investigation, our tool is specially crafted to fit in unused memory. ForenScope then preserves a snapshot of memory to a USB stick and installs a software write blocker to prevent alterations to the disk without violating the semantics of running programs.
Série Scientifique Scientific Series Strategically Planned Behavior in Public Good Experiments Strategically Planned Behavior in Public Good Experiments

Reproduction partielle permise avec citation du document source, incluant la notice ©. Short sections may be quoted without explicit permission, provided that full credit, including © notice, is given to the source. Ce document est publié dans l'intention de rendre accessibles les résultats préliminaires de la recherche effectuée au CIRANO, afin de susciter des échanges et des suggestions. Les idées et les opinions émises sont sous l'unique responsabilité des auteurs, et ne représentent pas nécessairement les positions du CIRANO ou de ses partenaires. This paper presents preliminary research carried out at CIRANO and aims at encouraging discussion and comment. The observations and viewpoints expressed are the sole responsibility of the authors. They do not necessarily represent positions of CIRANO or its partners. Résumé / Abstract Les participants à une expérience ont soumis des stratégies pour jouer à un jeu de biens publics. Les stratégies ont interagi dans une simulation par ordinateur. Les participants ont eu l'opportunité de réviser et de re-soumettre leurs stratégies pour une deuxième et une troisième simulation. La contribution moyenne des stratégies au bien public a augmenté d'une simulation à l'autre. La majorité des stratégies soumises montrent le même patron de comportement. Dans la première période le participant signale sa volonté à coopérer par une contribution totale au bien public. Puis il s'aligne sur la contribution moyenne faite par les autres dans la période précédente. Dans la (les) période(s) finale(s), la coopération est abandonnée indépendamment du développement du jeu. Subjects submitted strategies for playing a public good game. The strategies interacted with each other in a computer simulation. They could be revised and resubmitted for a second and a third simulation round. The strategies' average contribution to the public good increased from one simulation to the next. The majority of the strategies submitted for the final simulation show the same pattern: In the first period, they signal their willingness to cooperate by contributing the entire endowment to the public good. Then, they reciprocate the others' average contribution in the previous period. In the final period(s), cooperation is given up, whatever the history of the game. I want to thank Claude Montmarquette and Reinhard Selten for their encouragement and many discussions. Thanks are also due to Arthur Schram and to all the participants in the experiment. Beyond submitting strategies, many of the participants made valuable comments and suggestions.
A Fast Approach of Large-Scale IP Traffic Matrix Estimation

It is well known that traffic matrix is a key input to traffic engineering. But direct measurement of traffic matrix is very difficult. This paper proposes a novel method of large-scale IP traffic matrix estimation, which is based on the modified simplex method. Firstly, we discuss the relations between traffic matrix and link loads, and introduce the constraints. Then we select the appropriate objective function for the iterative optimization. By combining the resolution matrix, we can get a good prior of network tomography. Thus a good estimation of traffic matrix is attained with the simplex method. Finally, we use the real data in true network Abilene to validate our method. The results show that our method can perform fast the accurate estimation of traffic matrix and track its dynamics.
Benzene and Beyond: Mechanisms of Novel Anaerobic Aromatic Degradation Pathways in Geobacter daltonii

Petroleum spills causes contamination of drinking water with carcinogenic aromatic compounds including benzene and cresol. Current knowledge of anaerobic benzene and cresol degradation is extremely limited and it makes bioremediation challenging. Geobacter daltonii strain FRC-32 is a metal-reducing bacterium isolated from radionuclides and hydrocarboncontaminated subsurface sediments. It is notable for its anaerobic oxidation of benzene and its unique ability to metabolize p-, m-, or o-cresol as a sole carbon source. Location of genes involved in aromatic compound degradation and genes unique to G. daltonii were elucidated by genomic analysis using BLAST. Genes predicted to play a role in aromatic degradation cluster into an aromatic island near the start of the genome. Of particular note, G. daltonii has two copies of the bss genes, which are responsible for the first step in anaerobic toluene oxidation. This bacterium is unique among the family Geobacteraceae and other toluene degraders in this aspect. The  subunits have 74% identity to one another. The remaining genes in each operon are not identical. BssA was upregulated when G. daltonii was grown on benzene and toluene while the grlA was upregulated during growth on m-cresol. Toluene was accumulated during degradation of benzene by cell lysate. Cells grown with benzene and toluene exhibited a similar protein profile compared to cells grown with benzoate. These results indicate that benzene is converted to toluene and further degraded via the toluene pathway. Both the bss and grl operons were predicted to have sigma54-dependent promoters. This was confirmed using 5' RACE and sequence analysis. E. coli transformed with the bss operon were able to grow in the presence of toluene but lost this capability when sigma 54 was knocked out. Growth was restored with complementation of sigma 54. The sigma 54-dependent signaling system bamVW was upregulated in the presence of all aromatic compounds tested. These results suggest that the bss operon is regulated via sigma 54-dependent mechanisms. This study significantly contributes to anaerobic aromatic gene regulation which is crucial in effective oil spill bioremediation. INDEX WORDS: Benzene, Anaerobic, Geobacter BENZENE AND BEYOND: MECHANISMS OF NOVEL ANAEROBIC AROMATIC DEGRADATION PATHWAYS IN GEOBACTER DALTONII
Applications of transformation techniques in CDMA receivers

This paper discusses the application of different algorithm transformation techniques in code division multiple access receivers (CDMA). This is achieved by looking at some of the computational blocks that constitute the CDMA receivers. We focus on the look-ahead, relaxed look-ahead and strength reduction algorithm transformation techniques and demonstrate how CDMA receivers could benefit when utilizing these techniques during the course of implementation.
What We Know About Transfer

Transfer from community colleges to four-year institutions offers a critical avenue for upward mobility for many underserved students. Most entering community college students intend to transfer and earn a bachelor’s degree1—so many that four-year institutions would not be able to accommodate them all as incoming freshmen. Community colleges greatly expand our nation’s postsecondary capacity, serving as the entry point to higher education for over 40 percent of U.S. undergraduates. With their low tuition and open-access mission, community colleges serve many students who either cannot afford to attend a university for all four years or do not meet the more selective admissions criteria of many four-year institutions. Vertical transfer from community colleges to four-year institutions therefore offers a critical avenue for upward mobility for many underserved students, including low-income, first-generation, and racial/ethnic minority students, all of whom are disproportionately represented at community colleges.2
Factors influencing academics' usage of electronic journals

III AUTHOR DECLARATION . V ACKNOWLEDGEMENTS . VI TABLE OF CONTENTS . VII LIST OF TABLES . XII LIST OF ABBREVIATIONS . XIX FACTORS INFLUENCING ACADEMICS' USAGE OF ELECTRONIC JOURNALS . 1 CHAPTER
Satellite Images Analysis with Symbolic Time Series: A Case Study of the Algerian Zone

Satellite Image Time Series (SITS) are an important source of information for studying land occupation and its evolution. Indeed, the very large volumes of digital data stored, usually are not ready to a direct analysis. In order to both reduce the dimensionality and information extraction, time series data mining generally gives rise to change of time series representation. In an objective of information intelligibility extracted from the representation change, we may use symbolic representations of time series. Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, piecewise polynomial models, etc. Many researchers have also considered symbolic representations of time series, noting that such representations would potentiality allow researchers to avail of the wealth of data structures and algorithms from the text processing and bioinformatics communities. We present in this work, one of the main symbolic representation methods "SAX"(Symbolic Aggregate Approximation) and we experience this method to symbolize and reduce the dimensionality of a Satellite Image Times Series acquired over a period of 5 years by characterizing the evolution of a vegetation index (NDVI).
An Incidental Solitary Plasmacytoma of Bone Mimicking Neuroendocrine Tumor Metastasis on 68Ga-DOTATATE Positron Emission Tomography/Computed Tomography

A 54-year-old woman with suspicion of neuroendocrine tumor (NET) was referred for 68Ga-DOTATATE positron emission tomography/computed tomography (CT) imaging due to clinical findings. A well-defined osteolytic lesion on the corpus of the third lumbar vertebra was evident on CT images with mild uptake of 68Ga-DOTATATE, which led to suspicion of NET metastasis. Histopathologic examination revealed solitary plasmacytoma of the bone. The patient received local external radiotherapy for plasmacytoma. This case indicatesthat other diseases expressing somatostatin receptors may be inaccurately reported as tumor recurrence and highlights the importance of meticulous evaluation of positive findings.
Indigenous women in educational leadership: identifying supportive contexts in Mi’kmaw Kina’matnewey

ABSTRACT This article is drawn from a larger qualitative case study that examined the leadership context and leadership approaches of five Mi’kmaw women school principals in Mi’kmaw Kina’matnewey (MK), an Aboriginal educational authority, located in Nova Scotia, Canada. This article aims to identify the contextual supports within MK that have enabled Mi’kmaw women educators to obtain and retain positions as principals. The use of a decolonizing methodology positioned the participants to work in partnership with the researcher during data collection and analysis. Data collection and analysis involved the use of one-on-one and sharing circle conversations with the principals. Findings suggest that the social, cultural, and organizational contexts where women lead have had a significant influence on their lives. More specifically, familial, collegial, community, and organizational supports have enabled these women to hold positions as principals and enabled Mi’kmaw cultural revitalization to occur within their school communities. Although the contexts within MK are not reproducible, aspects of the supports within these contexts can be employed by schools and school districts to support the hiring and retention of minoritized members of society in educational leadership.
A Study of Positive Transfer on Junior High Students in English Vocabulary Learning

Language transfer can be classified into negative transfer and positive transfer. The former is caused by the similarities shared by source language and target language, the latter is attributed to the differences between two languages. Linguists abroad and home have put forward that native language can promote studentsâ€™ understanding of second language (Jarvis and Pavlenko, 2008; Wen, 2010). In the process of second language learning, especially for Junior High School students, the knowledge of native language can help students to complete their tasks. When learning the target language, they will unconsciously use the previous information to think and achieve the purpose of second language learning. Native language plays a fundamental role in second language learning. For students, it can facilitate the study of second language in some extent. Vocabulary is the foundation of language. As the beginning stage, English teaching in Junior high school should give priority to vocabulary learning. Then, whether Chinese plays a facilitate role in the process of studentsâ€™ vocabulary learning? And if it has, what are the factors that influence language transfer? What teaching methods can teacher employed to studentsâ€™ vocabulary learning? These are main contents of this study.
Pascal VOC 2008 Challenge

To tackle the challenging dataset presented in this challenge, we use the highly successful appearance-based detector of Felzenszwalb et al. [1] and augment it with rich contextual cues extracted from the image to further improve its performance. Specifically, we train detectors to obtain the confidence that a window contains an object based solely on global scene statistics [2, 3], nearby regions, the object position and size, geographic context [4] and boundaries [5, 6]. Our interest is to study how much each of these contextual cues can add to the performance of the local appearance based detector. This report provides specific details of each of the individual cues used to tackle the classification, detection and segmentation competitions (more or less in a similar manner).
Photogrammetry using 3D graphics and projective textures

We present a process that enables mensuration in a 3D-visualization environment using multiple overlapping images. A Virtual Projector with accurate camera information allows imagery to be projected onto terrain and feature surfaces. This method encourages the use of multiple overlapping images in VR. We present results that demonstrate the ability of this process to efficiently produce photospecific VR and accomplish accurate mensuration in a multi-image environment.
Mcmc Methods for Discrete Sojourn Time Ion Channel Data

Ion channels are protein molecules that are intimately involved in the transmission of information through the nervous system. Their behaviour is modelled as a Markov chain, but one which cannot be observed directly. The deeciencies of the observation process make the study of ion channel data diicult. Several methods have been proposed for making inference about the parameters of the underlying Markov chain, but all are computationally expensive, even on simple models. We propose a new method based on Markov chain Monte Carlo technology in a Bayesian framework. Although this is also computationally intensive, it is possible that it may be extended to more complex models.
A Critical Review of the Literature Regarding Homelessness Among Veterans

reviewer No. Comment response Question 1: Are the objectives, scope, and methods for this review clearly described? 1 Yes. 1 Comments: The numbers and letters used in the research objectives are distracting. I would use 1-4 and then use bullets for the sub questions. We have revised the format of the document to comply with the standard VA Evidence-based Synthesis Program (ESP) style template. We think this should address the concerns of the reviewer.
Visualization of Narrative Structure Analysis of sentiments and character interaction in fiction

In this work, we visualized two aspects of narrative structure: character interactions and relative emotional trajectory. We performed the analysis for three different books: The Glass Menagerie by Tennessee Williams, Kafka on the Shore by Haruki Murakami, and The Hobbit by J.R. R. Tolkien. We visualize character relationships in a dynamic graph that displays the evolution of connections between characters throughout the book. We show emotional polarity and intensity in a color-coded sentiment bar plot that provides access to the original text. The emotional path of each character through the book can be traced by selecting a character, which highlights the sentences in the sentiment plot where this character appears. Our result is a visualization that provides an at-a-glance impression of the book as well as a method for exploring the plot details. We hope that this method of visual book summarization will be useful both for commercial applications such as book shopping or e-readers, as well as for succinct literary analysis.
An electrically trainable artificial neural network (ETANN) with 10240 'floating gate' synapses

The use of floating-gate nonvolatile memory technology for analog storage of connection strengths, or weights, has previously been proposed and demonstrated. The authors report the analog storage and multiply characteristics of a new floating-gate synapse and further discuss the architecture of a neural network which uses this synapse cell. In the architecture described 8192 synapses are used to interconnect 64 neurons fully and to connect the 64 neurons to each of 64 inputs. Each synapse in the network multiplies a signed analog voltage by a stored weight and generates a differential current proportional to the product. Differential currents are summed on a pair of bit lines and transferred through a sigmoid function, appearing at the neuron output as an analog voltage. Input and output levels are compatible for ease in cascade-connecting these devices into multilayer networks. The width and height of weight-change pulses are calculated. The synapse cell size is 2009 mu m/sup 2/ using 1- mu m CMOS EEPROM technology. <<ETX>>
09 08 5 v 3 1 2 O ct 1 99 9 UU-HEP / 99-04 Holography and Noncommutative

In this note a lately proposed gravity dual of noncommutative Yang-Mills theory is derived from the relations, recently suggested by Seiberg and Witten, between closed string moduli and open string moduli. The only new input one needs is a simple form of the running string tension as a function of energy. This derivation provides convincing evidence that string theory integrates with the holographical principle, and demonstrates a direct link between noncommutative Yang-Mills theory and holography.