Miracle-dz/UniFAR-FTUs huggingface dataset:
Security and Trust in Mobile Cloud Computing

As living in the cyber era, we admit that a dozen of new technologies have been born every day with the promises that making a human life be more comfortable, convenient and safe. In the forest of new technologies, mobile computing is raise as an essential part of human life. Normally, mobile devices have become the best companions in daily activities. They have served us from the simple activities like entertainment to the complicated one as business operations. As playing the important roles, mobile devices deserve to work in the environment which they can trust for serving us better. In this thesis, we investigate the way to secure mobile devices from the primitive security level (Trusted Platforms) to the sophisticated one (bio-inspired intelligence). More precisely, after addressing the challenges of mobile cloud computing (MCC), we have studied the real-case of mobile cloud computing, in terms of energy efficiency and performance, as well as proposed a demonstration of particular MCC model, called Droplock system. Moreover, taking advantages of trusted platform module functionality, we introduced a novel schema of remote attestation to secure mobile devices in the context of Mobile-Cloud based solution. To enhance the security level, we used fuzzy logic combining with ant colony system to assess the trust and reputation for securing another mobile cloud computing model based on the cloudlet notion.
Analyzing the producer-consumer collusion attack in Content-Centric Networks

This paper evaluates a denial-of-service attack in Content Centric Networks (CCN) that aims at increasing the content retrieval time. In this attack, malicious consumers and producers collude by generating content and changing content popularity. Malicious contents are stored by nodes and occupy the cache space that should be occupied by legitimate contents. Thus, the probability of legitimate consumers retrieves contents directly from the producer increases as well as the content retrieval time. We evaluate the impact of the attack by varying the number of consumers in collusion, the interest packets rate, and the way contents are requested. Results show if 20% of consumers are malicious and send 500 interests/s each, the content retrieval time experienced by legitimate users increases by 20 times.
An improved H.264 adaptive intra error concealment algorithm

This article proposes an improved H.264 adaptive intra error concealment algorithm, which enables relatively good smoothness for reconstructed image and effectively restores edge information at the same time. This algorithm adaptation chooses spatial pixel average and edge-detection-based error concealment algorithm, improves the traditional edge detection algorithm, and proposes directional weighted algorithm based on adjacent edge information. By such means as area selection, luminance signal interpolation and block position detection, the computation of decoder is effectively decreased and the difficulty in engineering application is solved. Two schemes are designed at H.264 standard test platform JM86 and verified. The result indicates that this algorithm is simple and practical, suitable for real-time processing. The peak signal to noise ratio (PSNR) is 3dB higher than that with traditional method. The subjective and objective quality of reconstructed image is improved and so the application value is pretty high.
Hypoxia attenuates purinergic P2X receptor-induced inflammatory gene expression in brainstem microglia

Hypoxia and increased extracellular nucleotides are frequently coincident in the brainstem. Extracellular nucleotides are potent modulators of microglial inflammatory gene expression via P2X purinergic receptor activation. Although hypoxia is also known to modulate inflammatory gene expression, little is known about how hypoxia or P2X receptor activation alone affects inflammatory molecule production in brainstem microglia, nor how hypoxia and P2X receptor signaling interact when they occur together. In the study reported here, we investigated the ability of a brief episode of hypoxia (2 hours) in the presence and absence of the nonselective P2X receptor agonist 2′(3′)-O-(4-benzoylbenzoyl)adenosine-5′-triphosphate (BzATP) to promote inflammatory gene expression in brainstem microglia in adult rats. We evaluated inducible nitric oxide synthase (iNOS), tumor necrosis factor alpha (TNFα), and interleukin (IL)-6 messenger RNA levels in immunomagnetically isolated brainstem microglia. While iNOS and IL-6 gene expression increased with hypoxia and BzATP alone, TNFα expression was unaffected. Surprisingly, BzATP-induced inflammatory effects were lost after hypoxia, suggesting that hypoxia impairs proinflammatory P2X-receptor signaling. We also evaluated the expression of key P2X receptors activated by BzATP, namely P2X1, P2X4, and P2X7. While hypoxia did not alter their expression, BzATP upregulated P2X4 and P2X7 mRNAs; these effects were ablated in hypoxia. Although both P2X4 and P2X7 receptor expression correlated with increased microglial iNOS and IL-6 levels in microglia from normoxic rats, in hypoxia, P2X7 only correlated with IL-6, and P2X4 correlated only with iNOS. In addition, correlations between P2X7 and P2X4 were lost following hypoxia, suggesting that P2X4 and P2X7 receptor signaling differs in normoxia and hypoxia. Together, these data suggest that hypoxia suppresses P2X receptor-induced inflammatory gene expression, indicating a potentially immunosuppressive role of extracellular nucleotides in brainstem microglia following exposure to hypoxia.
A micropower 2 MHz CMOS frequency reference for capacitive sensor applications

In this paper, we describe the design of a 2 MHz CMOS frequency reference circuit based on a relaxation oscillator. The circuit provides the clock signal for a read-out circuit of a capacitive sensor. The frequency reference circuit is always active, thus low power consumption is an essential requirement. Supply independent biasing was used to allow supply voltages of 1.8-2.5 V without re-calibration. Simulations showed that the circuit consumes 3.0 /spl mu/W with 1.8 V supply voltage and stays within /spl plusmn/10% of the nominal oscillation frequency in the operating voltage range and at temperatures from -40 to 85/spl deg/C. A jitter approximation of /spl Delta/t/sub max/ /spl ap/ 5 ns and phase noise performance were obtained. The relative importance of different noise sources on phase noise are highlighted on the basis of phase transfer simulations. The circuit is being fabricated in a 0.13 /spl mu/m CMOS process.
Scalable Security Event Aggregation for Situation Analysis

Cyber-attacks have been evolved in a way to be more sophisticated by employing combinations of attack methodologies with greater impacts. For instance, Advanced Persistent Threats (APTs) employ a set of stealthy hacking processes running over a long period of time, making it much hard to detect. With this trend, the importance of big-data security analytics has taken greater attention since identifying such latest attacks requires large-scale data processing and analysis. In this paper, we present SEAS-MR (Security Event Aggregation System over MapReduce) that facilitates scalable security event aggregation for comprehensive situation analysis. The introduced system provides the following three core functions: (i) periodic aggregation, (ii) on-demand aggregation, and (iii) query support for effective analysis. We describe our design and implementation of the system over MapReduce and high-level query languages, and report our experimental results collected through extensive settings on a Hadoop cluster for performance evaluation and design impacts.
On cross hedging , BSDE and Malliavin ’ s calculus ∗

Basis = price of hedged asset-price of hedging instrument problem of basis risk: uncertainties of processes describing the evolution of prices of asset and hedging instrument not identical, only highly correlated Example 1: weather derivatives hedged asset: heating oil sales, hedging instrument: HDD derivative HDD derivative: contract paying a premium in case HDD above a critical threshold Example 2: commodity markets hedged asset: power spot price, hedging instrument: power futures futures: contract to deliver amount of commodity at prefixed price hedge spot price fluctuations on time slots not coinciding with futures delivery dates ON CROSS HEDGING, BSDE AND MALLIAVIN'S CALCULUS 3 1.2 a toy example Aim: show problems with hedging basis risk, given very high correlation Abbildung 1: Daily Spot Prices airline company, hedged asset: jet fuel spot price, hedging instrument: heating oil futures diagram indicates high correlation between jet fuel spot price and heating oil spot price
Prevalence of Depression and Glucose Abnormality in an Urbanizing Rural Population of Bangladesh

Background Depression and glucose abnormality are increasing in Bangladesh including its rural area. This study was designed to determine the prevalence of depression in an urbanizing rural population of Bangladesh with or without glucose abnormality (including diabetes mellitus [DM], and pre-diabetes which combines impaired fasting glucose and impaired glucose tolerance pre-DM). Methods A total of 2,293 subjects aged ≥20 years were investigated. Sociodemographic and anthropometric details, blood pressure, fasting (fasting plasma glucose) and 2 hours after 75 g plasma glucose (2-hour plasma glucose), were studied. Montgomery-Asberg Depression Rating Scale was used to assess depression. Results The overall prevalence of DM was 7.9% and pre-DM was 8.6%. Prevalence of depression was 15.31% (n=351; 95% confidence interval [CI], 1.59 to 1.36) with mean depressive score 17.62±3.49. Female were more likely to have depression (17.16%). The 22.35% of male and 29.46% of female with pre-DM and 26.58% male and 36.27% female with DM had depressive symptoms. There was no significant variation in the mean age of different groups (healthy, depressed and with glucose abnormality). Depression was significantly associated with age, marital status, occupation, high physical activity, and low body mass index. The odds ratio (OR) for depression was significantly increased in patients with glucose abnormality compared with those without pre-DM (OR, 2.49; 95% CI, 1.76 to 3.51; P<0.000) and DM (OR, 3.27; 95% CI, 2.33 to 4.60; P<0.000). Conclusion Prevalence of depression found alarming in our study area though lesser than previous studies and it is significantly related to glucose abnormality. The study reveals that mental health should get more focused specially along with metabolic diseases.
An efficient resiliency scheme for data centric storage in wireless sensor networks

In this paper, we present an efficient data centric storage method for wireless sensor networks with increased resiliency for single node failures as well as clustered node failures. We introduce multiple hashing to provide various resiliency levels for different event types, based on the event's criticality level. We also present a geometric area concept and node awareness inside the geometric shape to make our system independent of underlying routing. We present the two parts of routing from source to destination and shown our performance results.
Towards a Multi-purpose Monocular Vision-based High-Level Situation Awareness System

In surveillance applications human operators are either con- fronted with a high cognitive load or monotonic time periods where the operator's attention rapidly decreases. Therefore, automatic high-level interpretation of image sequences gains increasing importance in assist- ing human operators. We present a generic hierarchical system that gen- erates high-level logic-based situation descriptions in various domains. The system consists of two components. First, a vision component pro- vides 3D spatial and temporal information about objects in scenes. Sec- ond, the situation recognition component uses knowledge encoded in Situation Graph Trees and a fuzzy graph traversal allowing exhaustive situation awareness. The system is tested with real video data compris- ing persons, their actions, and interactions. In order to show the domain independence we used recorded data from moving vehicles and static surveillance cameras. The results show that the system is usable with multi modal data and can easily be modified and extended.
Toxic Potential of Synthesized Graphene Zinc Oxide Nanocomposite in the Third Instar Larvae of Transgenic Drosophila melanogaster (hsp70-lacZ)Bg 9

In the present study the graphene zinc oxide nanocomposite (GZNC) was synthesized, characterized, and evaluated for its toxic potential on third instar larvae of transgenic Drosophila melanogaster (hsp70-lacZ)Bg 9. The synthesized GZNC was characterized by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), scanning electron microscopy (SEM), and transmission electron microscopy (TEM). The GZNC in 0.1% dimethyl sulphoxide (DMSO) was sonicated for 10 minutes and the final concentrations 0.033, 0.099, 0.199, and 3.996 μg/μL of diet were established. The third instar larvae were allowed to feed on it separately for 24 and 48 hr. The hsp70 expression was measured by o-nitrophenyl-β-D-galactopyranoside assay, tissue damage was measured by trypan blue exclusion test, and β-galactosidase activity was monitored by in situ histochemical β-galactosidase staining. Oxidative stress was monitored by performing lipid peroxidation assay and total protein estimation. Ethidium bromide/acridine orange staining was performed on midgut cells for apoptotic index and the comet assay was performed for the DNA damage. The results of the present study showed that the exposure of 0.199 and 3.996 μg/μL of GZNC was toxic for both 24 hr and 48 hr of exposure. The doses of 0.033 μg/μL and 0.099 of GZNC showed no toxic effects on its exposure to the third instar larvae for 24 hr as well as 48 hr of duration.
Comparative studies of subcutaneous and intradermal leukemic tumors in guinea pigs.

Summary Small doses of L2C leukemic cell suspensions inoculated intradermally into strain 2 and F 1 hybrid guinea pigs induced leukemic tumors that regressed spontaneously in about 50% of animals, whereas s.c. inoculation induced uniformly generalized leukemia. Because of the behavioral differences between the s.c. and intradermal tumors, it appeared of interest to examine their comparative morphology by light and electron microscopy. Both s.c. and actively growing intradermal tumors are made up of identical nonphagocytic histiocytes and contain virus particles. They differ in the number of proliferating cells, which is larger in the s.c. tumors. Cell necrosis is a conspicuous feature of the regressing intradermal tumors and is manifested by large numbers of macrophages with engulfed lysed cells or cell fragments. The virus particles disappear before the tumors regress.
Gravity driven shallow water models for arbitrary topography

Abstract. We derive new models for gravity driven shallow water flows in several space dimensions over a general topography. A first model is valid for small slope variation, i.e. small curvature, and a second model is valid for arbitrary topography. In both cases no particular assumption is made on the velocity profile in the material layer. The models are written in arbitrary coordinate system, and several formulations are provided. A Coulomb friction term is derived within the same framework, relevant in particular for debris avalanches. All our models are invariant under rotation, admit a conservative energy equation, and preserve the steady state of a lake at rest.
Sketch-style face image synthesis via constrained least squares estimation

This paper presents a new sketch-style face image generation algorithm dealing with the problem of converting a photorealistic human face image to its corresponding sketch-style one. We prepare two images sets — one is photorealistic face images set and the other is sketch-style face images set. In our model, an input test face image can approximately be viewed as a linear combination of already known face images. We seek an identical linear combination model for both input photorealistic face image and output sketch-style face image, and we retain holistic geometric information of a face image. The parameter, which is estimated under constrained least square criterion, from input photorealistic face image can be directly used to infer the output sketch-style face image. As a result, estimation error that is showed as jarring halo artifacts in resultant image is inevitable and then we utilize bilateral image filtering to reduce unfavorable artifacts and meanwhile reserve distinctive geometric information.
Performance Analysis of Preconditioned Iterative Inter-Carrier Interference Cancellation for OFDM

The performance of the classical low complexity OFDM detection is known to rapidly degrade with the raising of inter-carrier interference in the presence of fast time-varying channels. Advanced equalization techniques to mitigate the impact of the inter-carrier interference under those circumstances, generally involve significantly higher complexity. In this paper we address a class of reduced-complexity fast-converging iterative equalization algorithms yielding nearly-optimal performance with respect to other well-known methods. The complexity is optimized by suitable pre-conditioning in order to drastically reduce the number of required iterations necessary to achieve reliable signal detection. A detailed analysis supported by numerical results under realistic scenarios shows the nearly-optimal performance achievable by the proposed techniques with a very limited complexity, when comparing with classical zero-forcing and minimum-mean square error linear equalization.
Is the SF-36 suitable for assessing health status of older stroke patients?

INTRODUCTION The Medical Outcomes Study short form 36 health survey (SF-36) is being increasingly used and recommended as a suitable measure of subjective health status. However, it is unlikely that any measure will be appropriate for all groups. We wished to determine the suitability of the SF-36 for assessing quality of life in older stroke patients. METHODS A screening questionnaire was used to identify prevalent cases of stroke from a random sample of 2000 subjects aged 45 years and over. The SF-36 was included as part of a self-completion questionnaire posted to each stroke patient. Data quality indicators were analysed. RESULTS We identified 104 cases of stroke and the response rate for the SF-36 questionnaires sent was 83%. Completion rates for individual items ranged from 66 to 96%. All items in the role physical and role emotional scales had completion rates < 75%. The percentage of subjects for whom an individual scale score could be computed ranged from 67 to 96%, being lowest for the role physical and role emotional scales. Floor effects were high (> 15%) for these two scales and for the social functioning and physical functioning scales. Ceiling effects were substantial (> 15%) for the two role effect scales and for social functioning and bodily pain. CONCLUSIONS This study has shown high response rates from older stroke patients to a postal questionnaire incorporating the SF-36. The poor completion rates and consequent inability to compute scores for a large proportion of responders in certain scales raises concerns about the perceived relevance of these sections. Results for the response effects suggest that, on its own, the instrument is not suitable for assessing outcome. When data quality indicators were examined, it appears that postal administration of the SF-36 is not appropriate for assessing quality of life of older stroke patients.
Everscape: the making of a disaster evacuation experience

Disaster evacuation studies are important but difficult or impossible to conduct in the real world. Evacuation simulation in a virtual world can be an important tool to obtain data on the escape and choice behavior of people. However, to obtain accurate "realistic" data, the engagement of participants is a key challenge. Therefore, we describe the making of an engaging evacuation scenario called "Everscape", and highlight the collaborative effort of researchers from the informatics and transportation fields. Further, we describe encouraging results from a pilot study, which investigates the level of engagement of participants of the Everscape experience.
Single phase matrix converter for radio frequency induction heating

Conventional converters for radio frequency induction heating usually follow an AC-DC-AC structure, which can exhibit non-unity power factor and introduce large harmonic currents into the utility supply. The need for a direct converter for radio frequency induction heating, featuring unity power factor, and sinusoidal input current, has motivated the development of a single phase matrix converter as an induction heater. A novel commutation strategy is therefore required to ensure smooth operation of the converter whilst creating a high frequency output under soft switching conditions. The operating principle and features of the proposed converter are described here, and experimentally verified
Decorrelation of Neutral Vector Variables: Theory and Applications

In this paper, we propose novel strategies for neutral vector variable decorrelation. Two fundamental invertible transformations, namely, serial nonlinear transformation and parallel nonlinear transformation, are proposed to carry out the decorrelation. For a neutral vector variable, which is not multivariate-Gaussian distributed, the conventional principal component analysis cannot yield mutually independent scalar variables. With the two proposed transformations, a highly negatively correlated neutral vector can be transformed to a set of mutually independent scalar variables with the same degrees of freedom. We also evaluate the decorrelation performances for the vectors generated from a single Dirichlet distribution and a mixture of Dirichlet distributions. The mutual independence is verified with the distance correlation measurement. The advantages of the proposed decorrelation strategies are intensively studied and demonstrated with synthesized data and practical application evaluations.
Translation rules for english to hindi machine translation system: homoeopathy domain

Rule based machine translation system embraces a set of grammar rules which are mandatory for the mapping of syntactic representations of a source language, on the target language. The system necessitates good linguistic knowledge to write rules and require of acquaintance source such as corpus and bilingual dictionary. In this paper, we have described the grammar rules intended for our English to Hindi machine translation system to translate the homoeopathic literatures, medical reports, prescription etc. The rules which have been written follow the transfer based approach for reordering of rules between two languages. The paper first discusses about our developed stemmer and its rules, further we discuss the Part of Speech tagging (PoS) rules for categorizing each word of the sentence grammatically and our developed homoeopathy corpus in English and Hindi of size 20085 and 20072 words respectively and at the last we discuss the agreement/translation rules for translating various homoeopathic sentences.