Miracle-dz/UniFAR-FTUs huggingface dataset:
Specification and deployment of integrated Security Policy for Outsourced Data. (Expression et déploiement de politiques de sécurité intégrés pour données externalisées)

Recent advance in cloud computing has transformed the way information is managed and consumed, since this new paradigm provides cost efficient solutions that allow the transmission, storage, and intensive computing of information. Therefore, Cloud service providers are increasingly required to take responsibility for the storage as well as the efficient and reliable sharing of information, thus carrying out a "data outsourcing" architecture. Despite that outsourcing information on Cloud service providers may cut down data owners’ responsibility of managing data while increasing data availability, data owners hesitate to fully trust Cloud service providers to protect their outsourced data. Recent data breaches on Cloud storage providers have exacerbated these security concerns. In response, security designers defined approaches that provide high level security assurance, such as encrypting data before outsourcing them to Cloud servers. Such traditional approaches bring however the disadvantage of prohibiting useful information release (e.g., efficient querying of outsourced data). This raises then the need to come up with new models and approaches for defining and enforcing security and utility policies on outsourced data. This thesis aims to address this trade-off, while considering two kind of security policies. In the first hand, we focus on confidentiality policies specification and enforcement, which requires enforcing the secrecy of outsourced data stored by an untrusted Cloud service provider, while providing an efficient use (e.g., searching and computing) of the outsourced data by different authorized users. To this end, first, we proposed an approach ensuring the confidentiality of sensitive information in outsourced multirelational databases by combining data fragmentation and encryption techniques. We then defined a secure and effective querying method for data hosted on several service providers. Afterwards, we improved the security of the querying technique we defined in order to protect data confidentiality under a collaborative Cloud storage service providers model. Second, We defined a policy-based configuration framework for sensitive outsourced data allowing the data owner to specify the confidentiality re-
A Study of Cognitive Dysfunction in Patients Having Carotid Endarterectomy Performed with Regional Anesthesia

BACKGROUND: In previous studies, we found that approximately 25% of patients having carotid endarterectomy with general anesthesia (CEA general) develop cognitive dysfunction compared with a surgical control Group 1 day and 1 mo after surgery. In this study, we tested the hypothesis that patients having CEA with regional anesthesia (CEA regional) will develop significant cognitive dysfunction 1 day after surgery compared with a control group of patients receiving sedation 1 day after surgery. We did not study persistence of dysfunction. METHODS: To test this hypothesis, we enrolled 60 patients in a prospective study. CEA regional was performed with superficial and deep cervical plexus blocks in 41 patients. The control group consisted of 19 patients having coronary angiography or coronary artery stenting performed with sedation. A control group is necessary to account for the “practice effect” associated with repeated cognitive testing. The patients from the CEA regional group were enrolled at New York Medical Center and the control group at Columbia-Presbyterian Medical Center. The cognitive performance of all patients was evaluated using a previously validated battery of neuropsychometric tests. Differences in performance, 1 day after compared with before surgery, were evaluated by both event-rate and group-rate analyses. RESULTS: On postoperative day 1, 24.4% of patients undergoing CEA regional had significant cognitive dysfunction, where “significant” was defined as a total deficit score ≥2 SD worse than the mean performance in the control group. CONCLUSIONS: Patients undergoing CEA regional had an incidence of cognitive dysfunction which was not different than patients having CEA general as previously published and compared with a contemporaneously enrolled group.
Marital Quality and Cognitive Limitations in Late Life.

OBJECTIVES Identifying factors associated with cognitive limitations among older adults has become a major public health objective. Given the importance of marital relationships for older adults' health, this study examines the association between marital quality and change in cognitive limitations in late life, directionality of the relationship between marital quality and cognitive limitations, and potential gender differences in these associations. METHOD Latent growth curve models were used to estimate the association of marital quality with change in cognitive limitations among older adults and the direction of the association between marital quality and cognitive limitations using 4 waves of the Americans' Changing Lives survey (N = 841). RESULTS Results indicate that more frequent negative (but not positive) marital experiences are associated with a slower increase in cognitive limitations over time, and the direction of this association does not operate in the reverse (i.e., cognitive limitations did not lead to change in marital quality over time). The association between negative marital experiences and cognitive limitations is similar for men and women. DISCUSSION The discussion highlights possible explanations for the apparent protective effect of negative marital experiences for older adults' cognitive health over time, regardless of gender.
Discourse connective detection in spoken conversations

Discourse parsing is an important task in Language Understanding with applications to human-human and human-machine communication modeling. However, most of the research has focused on written text, and parsers heavily rely on syntactic parsers that themselves have low performance on dialog data. In our work, we address the problem of analyzing the semantic relations between discourse units in human-human spoken conversations. In particular, in this paper we focus on the detection of discourse connectives which are the predicate of such relations. The discourse relations are drawn from the Penn Discourse Treebank annotation model and adapted to a domain-specific Italian human-human spoken conversations. We study the relevance of lexical and acoustic context in predicting discourse connectives. We observe that both lexical and acoustic context have mixed effect on the prediction of specific connectives. While the oracle of using lexical and acoustic contextual feature combinations is F1 = 68.53, the lexical context alone significantly outperforms the baseline by more than 10 points with F1 = 64.93.
Medial temporal lobe atrophy in patients with refractory temporal lobe epilepsy

Objective: The objective of this study was to assess the volumes of medial temporal lobe structures using high resolution magnetic resonance images from patients with chronic refractory medial temporal lobe epilepsy (MTLE). Methods: We studied 30 healthy subjects, and 25 patients with drug refractory MTLE and unilateral hippocampal atrophy (HA). We used T1 magnetic resonance images with 1 mm isotropic voxels, and applied a field non-homogeneity correction and a linear stereotaxic transformation into a standard space. The structures of interest are the entorhinal cortex, perirhinal cortex, parahippocampal cortex, temporopolar cortex, hippocampus, and amygdala. Structures were identified by visual examination of the coronal, sagittal, and axial planes. The threshold of statistical significance was set to p<0.05. Results: Patients with right and left MTLE showed a reduction in volume of the entorhinal (p<0.001) and perirhinal (p<0.01) cortices ipsilateral to the HA, compared with normal controls. Patients with right MTLE exhibited a significant asymmetry of all studied structures; the right hemisphere structures had smaller volume than their left side counterparts. We did not observe linear correlations between the volumes of different structures of the medial temporal lobe in patients with MTLE. Conclusion: Patients with refractory MTLE have damage in the temporal lobe that extends beyond the hippocampus, and affects the regions with close anatomical and functional connections to the hippocampus.
The Impacts of Employees Job Stress on Organizational Commitment

The study investigated the impact of Job Stress on Commitment from a sample of 151 public and private and public sector employees of oil and gas sector in Pakistan. The results revealed that stress is positively related to overall organizational commitment. Additional analysis shows that affective and continuous commitment are positively related to job stress, while we did not found significant link between normative commitment and Job stress.
Testing the Value of a Time-based Language Model for Speech Recognition

Speech recognition relies on the language model in order to decode an utterance, and in general a better language model improves the performance of a speech recognizer. We have recently found that a time-based language model can improve on a standard trigram language model in terms of perplexity [5]. This technical report presents the evaluation of this new language model in the context of speech recognition. First, a basic speech recognizer was built using the HTK [6] tool. Then the recognizer was run using the standard language model and using the time-based one. On a testset of 39,147 words from the Switchboard corpus, there was a slight improvement, with the percentage of words correctly recognized going from 11.31% to 11.40%.
Making Malory Behave Maliciously: Targeted Fuzzing of Android Execution Environments

Android applications, or apps, provide useful features to end-users, but many apps also contain malicious behavior. Modern malware makes understanding such behavior challenging by behaving maliciously only under particular conditions. For example, a malware app may check whether it runs on a real device and not an emulator, in a particular country, and alongside a specific target app, such as a vulnerable banking app. To observe the malicious behavior, a security analyst must find out and emulate all these app-specific constraints. This paper presents FuzzDroid, a framework for automatically generating an Android execution environment where an app exposes its malicious behavior. The key idea is to combine an extensible set of static and dynamic analyses through a search-based algorithm that steers the app toward a configurable target location. On recent malware, the approach reaches the target location in 75% of the apps. In total, we reach 240 code locations within an average time of only one minute. To reach these code locations, FuzzDroid generates 106 different environments, too many for a human analyst to create manually.
Data Communication using Pulse Shaping techniques in wireless signal processing approach-In depth review

One of the most challenging issues facing deployment of 3G technology is how to make the network architectures compatible with each other. New signaling techniques are being designed specially to enhance today’s 2G networks, deliver unprecedented functionality for 3G, and successfully derive the future generation of wireless systems, thus delivering immediate and long term benefits to subscribers. With the architecture of each generation of wireless devices addressed in the development of advance technologies, subscribers can easily evolve their systems without additional network modification, significantly reducing cost and implementing time. The present paper provide the in depth review of Data Communication using Pulse Shaping techniques in wireless signal processing approach.
SOLVING THE SUDOKUWITH THE DIFFERENTIAL EVOLUTION

In this paper, we present the application of the Differential Evolution (DE) algorithm to solving the combinatorial problem. The advantage of the DE algorithm is its capability of avoiding so-called „local minima” within the considered search space. Thanks to the special operator of the adaptive mutation, it is possible to direct the searching process within the solution space. The DE algorithm applies the selection operator that selects from the child population only the offspring with the greater value of the fitness function in comparison to their parents. An algorithm applied to a combinatorial optimization problem: Sudoku puzzle is presented. Sudoku consists of a nine by nine grid, divided into nine three by three boxes. Each of the eighty-one squares should be filled in with a number between one and nine. In this article we show, that the mutation schema has significant impact on the quality of created solution.
GPU-accelerated Monte Carlo simulation for photodynamic therapy treatment planning

Recent improvements in the computing power and programmability of graphics processing units (GPUs) have enabled the possibility of using GPUs for the acceleration of scientific applications, including time-consuming simulations in biomedical optics. This paper describes the acceleration of a standard code for the Monte Carlo (MC) simulation of photons on GPUs. A faster means for performing MC simulations would enable the use of MC-based models for light dose computation in iterative optimization problems such as PDT treatment planning. We describe the computation and how it is mapped onto the many parallel computational units now available on the NVIDIA GTX 200 series GPUs. For a 5 layer skin model simulation, a speedup of 277x was achieved on a single GTX280 GPU over the code executed on an Intel Xeon 5160 processor using 1 CPU core. This approach can be scaled by employing multiple GPUs in a single computer - a 1052x speedup was obtained using 4 GPUs for the same simulation.
Noncoordinate translation-level regulation of ribosomal and nonribosomal protein genes in the Escherichia coli trmD operon

The trmD operon of Escherichia coli contains the genes for the ribosomal protein S16, a 21-kilodalton polypeptide of unknown function, the tRNA(1-methylguanosine)methyltransferase, and the ribosomal protein L19, in that order. As reported elsewhere, the operon is transcribed as a single polycistronic mRNA species, and there is no significant difference in the steady-state amounts of different parts of the mRNA (A.S. Byström, A. von Gabain, and G.R. Björk, submitted for publication). Furthermore, accumulation of all parts of the transcript is altered in a stringently controlled manner upon starvation for valyl-tRNA. Here we show that the rate of synthesis of the trmD operon proteins increased with increasing growth rate and that the amount in steady state, at a specific growth rate (k = 1.0), of the tRNA(1-methylguanosine)methyltransferase was 260 molecules per gene copy, which is about 40 times lower than the amount of the two ribosomal proteins, whereas the 21-kilodalton protein was synthesized to the amount of about 850 molecules per gene copy. The lower steady-state amount of the two nonribosomal proteins was not due to a higher turnover rate. Synthesis of the 21-kilodalton and TrmD proteins responded differently from that of the two ribosomal proteins during conditions which provoked amino acid starvation, although accumulation of the entire mRNA molecule responds similarly to the rate of synthesis of the two ribosomal proteins. We conclude that the observed differential and noncoordinate expression is achieved by regulation at the level of mRNA translation.
Dorsolateral striatum is critical for the expression of surprise‐induced enhancements in cue associability

The dorsolateral striatum (DLS) is frequently implicated in sensory‐motor integration, including the performance of sensory orienting responses (ORs) and learned stimulus–response habits. Our laboratory previously identified a role for the DLS in rats' performance of conditioned ORs to Pavlovian cues for food delivery. Here, we considered whether DLS is also critical to another aspect of attention in associative learning, the surprise‐induced enhancement of cue associability. A large behavioral literature shows that a cue present when an expected event is omitted enters into new associations more rapidly when that cue is subsequently paired with food. Research from our laboratory has shown that both cue associability enhancements and conditioned ORs depend on the function of a circuit that includes the amygdala central nucleus and the substantia nigra pars compacta. In three experiments, we explored the involvement of DLS in surprise‐induced associability enhancements, using a three‐stage serial prediction task that permitted separation of DLS function in registering surprise (prediction error) and enhancing cue associability, and in using that increased associability to learn more rapidly about that cue later. The results showed that DLS is critical to the expression, but not the establishment, of the enhanced cue associability normally produced by surprise in this task. They extend the role of DLS and the amygdalo‐nigro‐striatal circuit underlying learned orienting to more subtle aspects of attention in associative learning, but are consistent with the general notion that DLS is more important in the expression of previously acquired tendencies than in their acquisition.
Chip-level Channel Equalization with Rake-like Structures for Multicode Downlink WCDMA Communications

In this paper, we propose a low complexity multi-code chip-level channel equalizer for the downlink UMTS FDD mode. Both block form and filter form implementations are considered. The proposed receiver can be of ZF or MMSE type, and consists of a linear equalizer followed by a bank of correlators corresponding to the spreading codes, and a decision device. It has a Rake-like structure and does not need the knowledge of the spreading codes to compute the equalizer filter coefficients. We show how to compute the equalization matrix at low complexity, and we give a measure of the upper-bound of the equalizer filter depth. Simulation results are given to corroborate the good performance of the equalizer in the high speed downlink packet access (HSDPA) scenario
A Survey of the HCN J = 1–0 Hyperfine Lines toward Class 0 and I Sources

The HCN 1-0 hyperfine lines have been observed toward 24 young stellar objects (YSOs) of class 0 and I. The hyperfine lines are well separated in most cases and show such rich structures as asymmetric double peaks and strong wings. We examined how their line shapes and velocity shifts vary along with their relative optical depths, and compared them with those of the CS 2-1, H2CO 212-111, and HCO+ 4-3 and 3-2 transitions previously observed by Mardones et al. and Gregersen et al. We find that all these molecular species do not always exhibit the same sense of line asymmetry, and the correlation of velocity shift is better between HCN and CS than between HCN and H2CO. The most opaque transition of HCN F = 2-1 has about the same velocity shift as that of CS despite the larger beam size of this study, which suggests that the HCN F = 2-1 line could be more sensitive to the internal motion of YSOs than CS line. Systematic changes of the velocity shift are noted for many sources as one goes from F = 0-1 to 2-1. The monotonic decrease of velocity (blueshift) is apparently more frequent. A detailed model of radiative transfer allowing line overlap of HCN is employed to L483, which shows convincing signatures of infall on a scale of ~0.1 pc. It appears that the observed line is not compatible with the standard Shu model, but is fitted with augmentations of density and infall velocity, by factors of 6 and 0.5, respectively, and with the inclusion of a diffuse, static, turbulent, and geometrically thick envelope. The distribution of hyperfine line intensity ratios for these YSOs does not accord with the LTE condition and is essentially the same as ones previously noted in cold dark clouds or small translucent cores. Although this anomaly may be explained in terms of radiative transfer effects in the cores, which are either static or under systematic motion, some of them seem to invoke the existence of a scattering envelope. It is confirmed that HCN is detected more selectively in class 0 and I sources than in starless cores or class II objects, which implies that the YSO(s) form a dense (~106 cm-3) envelope with a significant HCN abundance in a narrow time span of their evolution.
A Smart Itsy Bitsy Spider for the Web

As part of the ongoing Illinois Digital Library Initiative project, this research proposes an intelligent agent approach to Web searching. In this experiment, we developed two Web personal spiders based on best first search and genetic algorithm techniques, respectively. These personal spiders can dynamically take a user's selected starting homepages and search for the most closely related homepages in the Web, based on the links and keyword indexing. A graphical, dynamic, Java-based interface was developed and is available for Web access. A system architecture for implementing such an agent-based spider is presented, followed by detailed discussions of benchmark testing and user evaluation results. In benchmark testing, although the genetic algorithm spider did not outperform the best first search spider, we found both results to be comparable and complementary. In user evaluation, the genetic algorithm spider obtained significantly higher recall value than that of the best first search spider. However, their precision values were not statistically different. The mutation process introduced in genetic algorithm allows users to find other potential relevant homepages that cannot be explored via a conventional local search process. In addition, we found the Java-based interface to be a necessary component for design of a truly interactive and dynamic Web agent. © 1998 John Wiley & Sons, Inc.
Comparison of K-automorphism and K2-degree Anonymization for Privacy Preserving in Social Network

networking sites are extensively useful for communicating with the real world. The conversation among these sites accomplishes an extreme amount of data in the network. These large amount of data contain vulnerable information that is sharing between social users through links or edges. A broad use of social network creates security and privacy issues of a network. Many of social users unguarded about the risks, which caused by extrovert their sensible data, make network bunce for identity, and link disclosure. Simply the privacy of users is preserve by removing the identified element of users but it is not enough for user's privacy through attacks, which have some prior knowledge about users. This paper mainly concerned with friendship and structural attack on user's privacy, which disclose user's identity and link information. Detailed analysis is done regarding k 2 -degree and k-automorphism methods for protecting the privacy from these attacks and the utility such as average shortest path and cluster coefficient were also calculated for these two method. Keywordsocial network, k2-degree, k-automorphism, Anonymization.