Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploiting modern hardware for secure data management

Databases and data warehouses facilitate the storage and retrieval of large amounts of information. These systems have been increasingly used by corporations to store data such as unit cost information, customers credit card numbers, or patients medical records that are confidential in nature. This trend has been accompanied by numerous incidents of data theft and has resulted in more corporations preferring to store their sensitive records in an encrypted format. Since traditional cryptographic operations entail significant amount of arithmetic calculations, latencies generally arise while recording or retrieving sensitive data. We propose novel and efficient techniques to minimize the cost of cryptographic operations while processing sensitive information. These techniques involve exploiting the parallel computation capability of multi-core CPUs and IO latencies. We also present two studies in which we exploit the benefits of a tamper proof cryptographic hardware. In the first study, we discuss how attackers can capture valuable information such as encryption keys from the memories of database systems. We then propose a framework for reducing the disclosure risk of sensitive information for these types of attacks. The experimental results show that the disclosure risk of such attacks can be reduced dramatically while incurring a small performance overhead. In the second study, we demonstrate that tamper proof cryptographic hardware can be used for sharing and processing biomedical data. The proposed framework eliminates the need for delegating the storage and processing of sensitive biomedical data to third parties. Within this framework, we define a secure protocol to process genomic data and perform a series of experiments to demonstrate that such an approach can be run in an efficient manner for typical biomedical investigations.
Priorities for Research on Current and Emerging Network Technologies

About ENISA The European Network and Information Security Agency (ENISA) is an EU agency created to advance the functioning of the internal market. ENISA is a centre of excellence for the European Member States and European institutions in network and information security, giving advice and recommendations and acting as a switchboard of information for good practices. Moreover, the agency facilitates contacts between the European institutions, the Member States and private business and industry actors. Legal notice Notice must be taken that this publication represents the views and interpretations of the authors and editors, unless stated otherwise. This publication should not be construed to be an action of ENISA or the ENISA bodies unless adopted pursuant to the ENISA Regulation (EC) No 460/2004. This publication does not necessarily represent state-of the-art and it might be updated from time to time. Third-party sources are quoted as appropriate. ENISA is not responsible for the content of the external sources including external websites referenced in this publication. This publication is intended for educational and information purposes only. Neither ENISA nor any person acting on its behalf is responsible for the use that might be made of the information contained in this publication.
Development of Two-Dimensional Footwear Impressions Using Magnetic Flake Powders

Footwear impressions deposited on various types of surface were developed using magnetic flake powder and several conventional dusting powders. Although comparable results were achieved when glass was the receptor surface, the magnetic flake powder proved superior for revealing footwear impressions on rough or porous surfaces such as linoleum, polythene and paper.
Western Guide to Mentoring Graduate Students Across Cultures

The Teaching Support Centre works collaboratively with faculty, graduate students, and staff to advance teaching and learning at The University of Western Ontario. The TSC is the teaching 'heart' of the university. Our partnership with Western Libraries and Information Technology Services provides us with a unique foundation to deliver support in three main areas: instructional/curriculum development and the scholarship of teaching, learning technologies and online course development, as well as information literacy and research skill development. The Purple Guides address key issues in educational development, and are designed to foster a culture of excellence in teaching, learning and mentorship among both faculty and graduate students at Western. More information is available on the TSC website about resources and programs for both faculty and graduate students. To set up individual consultation about teaching, learning or graduate supervision issues, please contact us at the email address listed below.Western guide to mentoring graduate students across cultures [electronic resource] / Nanda Dimitrov. Includes bibliographical references.
On the Role of Conceptual and Linguistic Ontologies in Spoken Dialogue Systems

We report on the role of well-formed conceptual and linguistic ontologies in empirically grounded ‘spoken dialogue systems’ (SDS). In particular we use empirical results from spatial dialogues in German to argue for the strict separation of linguistically motivated knowledge from non-linguistic, domain concerns. We motivate our arguments with a number of examples relevant to the language generation task, and show how a well-defined separation of linguistic and domain concerns can be effected in a practical SDS.
Crowdsourcing Photos in Edge-Clouds with Panoptic Tadeu

The increasing capabilities of smartphones is paving way to novel applications through the crowd-sourcing of these untapped resources, to form hyperlocal meshes commonly known as edge-clouds. While a relevant body-of-work is already available for the underlying networking, computing and storage facilities, security and privacy remain second class citizens. In this thesis we present Panoptic, a decentralized distributed system, with support for edge-clouds, that enables the search of missing people, similar to the commonly known Amber alert system, in high density scenarios, e.g. concerts, while featuring privacy and security by design. The system makes uses of both computer vision, to identify people, and security techniques to enforce privacy and data security. Since the limited resources present in the mobile devices, namely battery capacity, Panoptic offers a computing offloading that tries to minimize data leakage while offering acceptable levels of performance. Since it access sensitive data, i.e., private photos, to search for potential matches, this work has the oversight of a certified/trusted authority. In order to keep the information private, every communication channel is secured and all caches remain encrypted. The use of an edge-cloud is a key factor as it allows for faster responses, making use of data locality, and avoids the shipping of private data to public clouds. Our results show that it is achievable to run these algorithms in an edge-cloud configuration and that it is beneficial to use this architecture to lower data transfer through the wireless infrastructure while enforcing privacy.
Athens Institute for Education and Research ATINER ATINER ' s Conference Paper Series MED 2017-2387

This study looked into the possible correlation between successful aging and selected communication-demographic characteristics of Filipino elders. Over 800 elder respondents, ages 60 to 95, males and females, from different places of residence and socio-economic classes were invited as respondents in the survey. To complement the quantitative data from the survey, interviews and focus-group-discussions were also conducted. The selected 20 communicationdemographic factors were each statistically tested to determine their possible correlation with successful aging. Results revealed that of the 20 factors tested, 12 were significantly linked to successful aging. The study concluded that Filipino elders would most likely experience successful aging if they were healthy, single, from the middle or upper socio-economic classes, with at least a college education, engaged in leisure activities on a regular basis, exercising regularly, with a number of close family members and friends and communicating with them often, and actively involved in religious activities. Their age, sex, occupation, place of residence, continuing education, mode of communication with close family and friends, type of religion, and commitment to continuing education were not significantly linked to successful aging.
FADE : Self Destructing Data using Search Engine Results

We present a new self destructing data scheme called Fade that uses news search engine results to create self destructing data objects. In particular, we show that the scheme: • produces data objects with well-defined, predictable lifetimes. • is much faster than existing scheme designs in the space. • can easily be deployed as a user-facing browser extension. Fade places a degree of trust in search engines as third parties, trusting them not to proactively detect usage of Fade and store search result queries. We deem this attack sufficiently unlikely and propose an extension for mitigating it. Acknowledgements Dr. Naranker Dulay for supervising this project and providing valuable support and guidance. My family for supporting me throughout my academic career. My colleagues and friends for the pleasure of getting to know them throughout my time at Imperial.
1 Time series estimation of the environmental Kuznets curve on CO 2 emission

The environmental Kuznets curve (EKC) represents an inverted U-shaped relationship between environmental degradation (such as carbon dioxide emission per capita) and economic growth (defined as per capita GDP). Accordingly, pollution levels rise as income level increases in the early stages of economic development, but reach a certain threshold where pollution begins to fall. Most of previous studies on this subject are based on estimating parametric quadratic or cubic stationary regressions. In this study, however, we examine the EKC hypothesis for CO2 emission based on the unit root test and panel cointegration analysis for the different income groups of countries. We have three panels such as 48 high income countries, 38 middle income countries, and 41 low income countries. Verifying the EKC hypothesis using unit root and panel cointegration tests, we investigate the existence of EKC phenomenon among different income groups through an error-correction model. Our results show that there is cointegration relationship between CO2 emission per capita and GDP per capita. More importantly, we examine the EKC hypothesis using ECM. We find the income elasticity in the long run is smaller than the short run only in high-income countries group. Also we divided country groups based on per capita forest area and tested the EKC hypothesis for the groups. It shows the forest area has a decisive effect on explaining the EKC.
SOLAR FLOWS AND THEIR EFFECT ON FREQUENCIES OF ACOUSTIC MODES

We have calculated the effects of large-scale solar flows, such as the meridional circulation, giant convection cells, and solar rotation on the helioseismic splitting coefficients using quasi-degenerate perturbation theory (QDPT). Our investigation reveals that the effect of poloidal flows like the large-scale meridional circulation are difficult to detect in observational data of the global acoustic modes since the frequency shifts are much less than the errors. However, signatures of large-scale convective flows may be detected if their amplitude is sufficiently large by looking for frequency shifts due to nearly degenerate modes coupled by convection. In this comprehensive study, we attempt to put limits on the magnitude of flow velocities in giant cells by comparing the splitting coefficients obtained from the QDPT treatment with observational data.
Modelling affect by mining students' interactions within learning environments

INTRODUCTION In the past decade research on affect-sensitive learning environments has emerged as an important area in Artificial Intelligence in Education (AIEd) and Intelligent Tutoring Systems (ITS) [1-6]. These systems aspire to enhance the effectiveness of computer mediated tutorial interactions by dynamically adapting to individual learners' affective and cognitive states [7] thereby emulating accomplished human tutors [7,8]. Such dynamic adaptation requires the implementation of an affective loop [9] , consisting of: (1) detection of the learner’s affective states, (2) selection of systems actions that are sensitive to a learner's affective and cognitive states, and sometimes (3) synthesis of emotional expressions by animated pedagogical agents that simulate human tutors or peer learning companions [9,10]. The design of affect-sensitive learning environments is grounded in research that states that the complex interplay between affect and cognition during learning activities is of crucial importance to facilitating learning of complex topics, particularly at deeper levels of comprehension [11-17]. Within this research, one particular area of interest is concerned with the ways in which human tutors detect and respond to learners’ affective states: robust detection of learners’ affect is critical to enabling the development of affect-sensitive ITSs. In this chapter we will examine the state-of-the art methods by
REVIEW ARTICLES Fusion plasma experiments on TFTR: A 20 year retrospective*

The Tokamak Fusion Test Reactor (TFTR) (R. J. Hawryluk, to be published in Rev. Mod. Phys.) experiments on high-temperature plasmas, that culminated in the study of deuterium–tritium D–T plasmas containing significant populations of energetic alpha particles, spanned over two decades from conception to completion. During the design of TFTR, the key physics issues were magnetohydrodynamic (MHD) equilibrium and stability, plasma energy transport, impurity effects, and plasma reactivity. Energetic particle physics was given less attention during this phase because, in part, of the necessity to address the issues that would create the conditions for the study of energetic particles and also the lack of diagnostics to study the energetic particles in detail. The worldwide tokamak program including the contributions from TFTR made substantial progress during the past two decades in addressing the fundamental issues affecting the performance of high-temperature plasmas and the behavior of energetic particles. Th.
Environmental and Economic Efficiencies in the Asia-Pacific Region

This study computes the environmental efficiency of 31 Asia-Pacific countries and regions for the year 2007, using the super slacks-based measurement data envelopment analysis approach. Efficiency measure allows us to identify the reduction potential for carbon emissions. The author subsequently examined an environmental Kuznets curve type relationship between environmental efficiency and gross domestic product per capita. The empirical results show that a U-shaped relationship exists for the constant returns to scale model and the turning-point income is $US3,824. However, for the variable returns to scale model, the author does not find a Kuznets- type relationship.
The potential of real-time PCR in the diagnosis of Helicobacter pylori infection

extraction procedures. Forensic Sci Int. 2005; 155:193-204 . [13] Smith CS, Morgan SL, Greene SV, Abramson RK. Solid-phase extraction and high-performance liquid chromatographic method for chlorpromazine and thirteen metabolites. J Chromatogr. 1987; 423: 207-216. [14] Ohkubo T, Shimoyama R, Sugawara K. Determination of chlorpromazine in human breast milk and serum by high-performance liquid chromatography. J Chromatogr. 1993; 614: 328-332. [15] Ninci R, Giovannini MG, Della Corte L, Sgaragli G. Isothermal gas chromatographic determination of nanogram amounts of chlorimipramine, chlorpromazine and their N-desmethyl metabolites in plasma using nitrogen-selective detection. J Chromatogr. 1986; 381: 315-322. [16] Mercolini L, Grillo M, Bartoletti C, Boncompagni G, Raggi MA. Simultaneous analysis of classical neuroleptics, atypical antipsychotics and their metabolites in human plasma. Anal Bioanal Chem. 2007; 388: 235243. [17] Food and Drug Administration: U.S. Department of Health and Human Services. Guidance for industry, bioanalytical method validation. [document online] 2001 [cited 2006 Oct 10]. in: URL: http://www.fda. gov/cder/guidance/4252fnl.pdf. [18] International Conference on Harmonization (ICH). Validation of analytical methods: Methodology ICH Q2 B. [document online] 1996 [cited 2006 Oct 10]. In:URL:http:/ /www.ich. org/ MediaServer.jser? @_ID=4188@_MODE=GLB.
Molecular analyses of protists in long-term observation programmes—current status and future perspectives

Protists (microbial eukaryotes) are diverse, major components of marine ecosystems, and are fundamental to ecosystem services. In the last 10 years, molecular studies have highlighted substantial novel diversity in marine systems including sequences with no taxonomic context. At the same time, many known protists remain without a DNA identity. Since the majority of pelagic protists are too small to identify by light microscopy, most are neither comprehensively or regularly taken into account, particularly in Long-term Ecological Research Sites. This potentially undermines the quality of research and the accuracy of predictions about biological species shifts in a changing environment. The ICES Working Group for Phytoplankton and Microbial Ecology conducted a questionnaire survey in 2013–2014 on methods and identification of protists using molecular methods plus a literature review of protist molecular diversity studies. The results revealed an increased use of high-throughput sequencing methods and a recognition that sequence data enhance the overall datasets on protist species composition. However, we found only a few long-term molecular studies and noticed a lack of integration between microscopic and molecular methods. Here, we discuss and put forward recommendations to improve and make molecular methods more accessible to Long-term Ecological Research Site investigators.
Phase transition of spacetime

In this work, we find both black holes and particle can be described by the complex Kerr-Newman metric and converted to each other through a phase transition. After the phase transition point at Planck energy, the particle’s imaginary radii are realized and converted into a black hole. In 4-D spacetime, the 3-D imaginary space is compacted to its 1-D temporal dimension. In the hidden 3-D imaginary space, a Dirac electron appears as an equivalent Schwarzschild black hole with a mass of J/m (spin angular momentum per unit mass), which reveals the geometric origin of wave nature and spin in quantum mechanics. This work provides strong evidence for ER=EPR.
Further Development of LTE ‐ Advanced ― Release 12 Standardization Trends ―

In order to handle the rapid traffic increase in recent years, there have been a lot of studies on technologies to increase the network capacity by using small cells with low transmission power. However, when small cells are deployed with high density, interference from the neighboring cells increases dramatically and it becomes difficult to obtain the desired improvement in capacity. In this article, we describe related new technologies introduced in LTE Release 12, including higher order modulation, small cell discovery, and techniques to suppress and cancel interference from the neighboring cells. 5G Laboratory
SATURN PROBES: Why, Where, How?

While the critical heavy element abundance data for Jupiter will exist following the measurements on deep water (O/H) from Juno in 2016/2017, together with the 1995 Galileo Probe results on other key heavy elements, no such possibility currently exists for Saturn. At the same time, it is essential to have equivalent set of measurements at both gas giant planets, in order to build robust models for the formation of the giant planets, in particular, and the solar system, in general. In an earlier paper, Atreya et al. [1] presented a scenario of shallow entry probes combined with microwave radiometry (MWR), as an alternative to deep atmospheric probes for composition measurements at Saturn. This paper builds on, updates, and reinforces the conclusions of that earlier paper [1], especially that a Saturn Probe mission that combines Microwave Radiometry is suitable at Saturn, and that probes deployed to only 10 bars – shallow probes – can provide the needed data [1]. Such a mission is likely to fit within the cost cap of NASA's New Frontiers program. The Saturn Probe with Microwave Radiometry should be considered as the highest priority giant planet mission for the near term. The need for and scenarios of multiprobe missions to the other giant planets, Neptune, Uranus, and Jupiter are also discussed.
Autogenic succession or regional climatic influences ?

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Digital Soil Mapping and Modeling at Continental Scales: Finding Solutions for Global Issues

1201 Soil Sci. Soc. Am. J. 75:1201-1213 Posted online 23 June 2011 doi:10.2136/sssaj2011.0025 Received 20 Jan. 2011. *Corresponding author (sabgru@ufl .edu). © Soil Science Society of America, 5585 Guilford Rd., Madison WI 53711 USA All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permission for printing and for reprinting the material contained herein has been obtained by the publisher. Digital Soil Mapping and Modeling at Continental Scales: Finding Solutions for Global Issues SSSA 75th Anniversary Paper
Stabilizer states and Clifford operations for systems of arbitrary dimensions and modular arithmetic

We describe generalizations of the Pauli group, the Clifford group, and stabilizer states for qudits in a Hilbert space of arbitrary dimension d. We examine a link with modular arithmetic, which yields an efficient way of representing the Pauli group and the Clifford group with matrices over Z{sub d}. We further show how a Clifford operation can be efficiently decomposed into one and two-qudit operations. We also focus in detail on standard basis expansions of stabilizer states.
Towards Performance Evaluation of Rate Control Protocol in Satellite Networks

—The research of congestion control has recently been focused on the explicit and rate-based mechanism. RCP (Rate Control Protocol) is an explicit and rate-based mechanism which emulates PS (Processor Sharing) to reduce the AFCT (Average Flow Completion Time). There are few studies considering RCP in satellite networks although RCP has some promising virtues. Therefore, this paper explored the performance of RCP thoroughly through simulations in NS2. The results of simulations show that RCP has high throughput and is not affected by BER (Bit Error Rates). But some drawbacks such as flash crowd, long response time and TCP-unfriendliness were found.