Miracle-dz/UniFAR-FTUs huggingface dataset:
A SURVEY ON SECURED SEARCHING TECHNIQUES FOR EFFECTIVE DATA UTILIZATION IN PUBLIC CLOUD 1

Recent technology advances have made the success of cloud computing by acquiring the infrastructure, platform and software from the third party vendor. The promising benefit of cloud computing is data service outsourcing, by which the data owners stores their data in the public data centers by economically saving their capital investment towards data management. Cloud Storage provide users with abundant storage space and make user friendly for immediate acquiring of data, which is the foundation of all kinds of cloud applications. However, data outsourcing in the commercial public cloud also raise the problem for unauthorized data access and the cloud storage does not make sense if the outsourced data is not effectively utilized. The practical challenge is on how to make effective data access in the public cloud storage aiming at improvement of various searching techniques for increasing the data utilization. In this paper, an attempt is made to survey various searching techniques towards effective data utilization in cloud storage and is discussed in detail.
The Information and Communication Technology User Role: Implications for the Work Role and Inter-Role Spillover

Management and organization research has traditionally focused on employees’ work role and the interface between their work and family roles. We suggest that persons assume a third role in modern society that is relevant to work and organizations, namely the Information and Communication Technology User (ICTU) role. Based on role theory and boundary theory, we develop propositions about the characteristics of this role, as well as how ICTU role characteristics are related to boundary spanning activity, inter-role spillover with the work role, and work role performance. To this end, we first conceptualize the ICTU role and its associations with work and family roles. We then apply identity theory and boundary management theory to advance our understanding of how the ICTU role is related to criteria that are important to individuals and to organizations, namely self-selection into certain types of work roles and positive and negative inter-role spillover. The implications of this role for theory, research, and practice in management and organizations are discussed.
Multi-resolution segmentation and shape analysis for remote sensing image classification

We present an approach for classification of remotely sensed imagery using spatial information extracted from multi-resolution approximations. The wavelet transform is used to obtain multiple representations of an image at different resolutions to capture different details inherently found in different structures. Then, pixels at each resolution are grouped into contiguous regions using clustering and mathematical morphology-based segmentation algorithms. The resulting regions are modeled using the statistical summaries of their spectral, textural and shape properties. These models are used to cluster the regions, and the cluster memberships assigned to each region in multiple resolution levels are used to classify the corresponding pixels into land cover/land use categories. Final classification is done using decision tree classifiers. Experiments with two ground truth data sets show the effectiveness of the proposed approach over traditional techniques that do not make strong use of region-based spatial information.
Exhaustion of bacteria-specific CD4 T cells and microbial translocation in common variable immunodeficiency disorders

Common variable immunodeficiency (CVID) is characterized by abnormally low levels of antibodies in the blood and dysfunctional immune cells called CD4+ T cells. Perreau et al. now show evidence that bacteria-fighting CD4+ T cells in these patients are in a state of exhaustion due to a constant leakage of normal gut bacteria into the bloodstream, possibly due to insufficient antibody levels.
Food Derived Bioactive Peptides and Intestinal Barrier Function

A wide range of food-derived bioactive peptides have been shown to exert health-promoting actions and are therefore considered functional foods or nutraceuticals. Some of these actions are related to the maintenance, reinforcement or repairment of the intestinal barrier function (IBF) whose role is to selectively allow the absorption of water, nutrients and ions while preventing the influx of microorganisms from the intestinal lumen. Alterations in the IBF have been related to many disorders, such as inflammatory bowel disease or metabolic syndrome. Components of IBF are the intestinal epithelium, the mucus layer, secretory immunoglobulin A and cells of the innate and adaptive immune systems. Here we review the effects of food derived bioactive peptides on these IBF components. In vitro and in vivo effects, both in healthy and disease states, have been reviewed. Although limited, the available information indicates a potential for food-derived peptides to modify IBF and to contribute to disease treatment, but further research is needed to better isolate responsible peptides, and to help define their mode of action.
Inter Channel Correlation based Demosaicking Algorithm for Enhanced Bayer Color Filter Array

Demosaicking is a process of obtaining a full color image by interpolating the missing colors of an image captured from a digital still and video cameras that use a single-sensor array. In this study a new Color Filter Array (CFA) is proposed. Which is based on the actual weight of the Human Visual System. It is developed based on the sensitivity level of the human eye to red as 29.9%, green as 58.7% and blue as 11.4%. This study also provides an effective iterative demosaicing algorithm applying a weighted-edge interpolation to handle green pixels followed by a series of color difference interpolation to update red, blue and green pixels. Before applying demosaicking algorithm Gaussian filter is applied to remove noise of the sensor applied image and also enhance the image quality. Experimental results show that the proposed method performs much better than other latest demosaicing techniques in terms of image quality and PSNR value.
Sleep smart—optimizing sleep for declarative learning and memory

The last decade has witnessed a spurt of new publications documenting sleep's essential contribution to the brains ability to form lasting memories. For the declarative memory domain, slow wave sleep (the deepest sleep stage) has the greatest beneficial effect on the consolidation of memories acquired during preceding wakefulness. The finding that newly encoded memories become reactivated during subsequent sleep fostered the idea that reactivation leads to the strengthening and transformation of the memory trace. According to the active system consolidation account, trace reactivation leads to the redistribution of the transient memory representations from the hippocampus to the long-lasting knowledge networks of the cortex. Apart from consolidating previously learned information, sleep also facilitates the encoding of new memories after sleep, which probably relies on the renormalization of synaptic weights during sleep as suggested by the synaptic homeostasis theory. During wakefulness overshooting potentiation causes an imbalance in synaptic weights that is countered by synaptic downscaling during subsequent sleep. This review briefly introduces the basic concepts and central findings of the research on sleep and memory, and discusses implications of this lab-based work for everyday applications to make the best possible use of sleep's beneficial effect on learning and memory.
First Principles Study of Hydrogen Storage in SWCNT Functionalized with metal complexes ( MgH 2 , TiO 2 & SnO 2 )

The results of hydrogenation of single walled carbon nanotubes (SWCNTs)-SnO2 composite thin film is reported here. SWCNTs mixed with SnO2 by weight are made into pellet without any binder. Then, the pellet is evaporated by electron beam on glass substrates at room temperature in hydrogen atmosphere. The amount of hydrogen incorporated in the SWCNTs-SnO2 composite is found to be 2.4 wt. %. In addition, the hydrogenation of pure SnO2 material is carried out and its storage capacity is compared with SWCNTs-SnO2 composite. The dehydrogenation behavior is also studied. The experimental evidences are provided by TEM, AFM, XRD, EDS, CHN and TG/TDS analyses. In the present study, we have reported the hydrogenation in SWCNTs-SnO2 composite thin film prepared by electron beam technique for the first time. The electron-beam evaporation is one of the widely used techniques for preparing thin film with high quality and reproducibility.
An evaluation of oxygen therapy equipment

Six commercially available devices were tested to determine the alveolar oxygen concentration that is achieved and the volume of rebreathing that can occur in conditions simulating clinical use. All were tested at zero oxygen flow, since failure and interruption of the oxygen supply to such devices can occur in clinical use. In patients whose cardiorespiratory reserve is exhausted, any increase in dead space will be detrimental; for such patients devices should be selected which cannot cause rebreathing under any circumstances. Three of the devices tested could cause appreciable rebreathing, i.e., Oxyaire (B.L.B. pattern), Pneumask, and the M.C. mask. Claims made for the Pneumask and the M.C. mask were not substantiated in this study. With administration by nasal catheter changes in alveolar oxygen concentrations were found to be dependent on the percentage of mouth breathing by the subject. The Ventimask produced a consistent elevation of the alveolar oxygen percentage and did not cause any increase in the dead space.
Using Salient Envelope Features for Audio Coding

In this paper, we present a perceptual audio coding method that encodes the audio using perceptually salient envelope features. These features are found by passing the audio through a set of gammatone filters, and then computing the Hilbert envelopes of the responses. Relevant points of these envelopes are isolated and transmitted to the decoder. The decoder reconstructs the audio in an iterative manner from these relevant envelope points. Initial experiments suggest that even without sophisticated entropy coding a moderate bitrate reduction is possible while retaining good quality.
An abacus for P2P-TV traffic classification

This demo focuses on the online classification of traffic generated by P2P-TV applications, live video delivering services used by an ever increasing number of users worldwide. We designed a novel behavioural technique, which is able to reliably identify P2P-TV traffic simply based on raw counts of packets and bytes exchanged by the application during small-time windows. The demo software aims at showing the classification process and results, allowing users to interact on a simple active testbed with different live running P2P-TV applications.
International outsourcing and productivity: evidence from plant level data

This paper examines the effect of international outsourcing of intermediate inputs on labour productivity at the level of the plant that engages in outsourcing. To do so we use plant level data for the electronics industry in the Republic of Ireland. Using a fresh perspective on international outsourcing and productivity, we focus on the nature of outsourced inputs (services or tangibles) and the production stage (upstream or downstream) at which the plant engaged in outsourcing operates. We find significant productivity gains to internationally outsourced services. Most importantly, internationally outsourced services generate the highest productivity gains for downstream activities, where firms are closer to the end-customer. JEL classification: F16, F14, L23, L63
A STUDY ON ADVANCEMENTS OF NETWORK CODING IN WIRELESS MESH NETWORK

Wireless Mesh Network is break through architecture in wireless communication that provides improved reliability, simplified link design, last mile coverage, flexible network architecture and minimal setup costs. Network coding proceeds an unconventional compute-and-forward approach rather store-and-forward which improves throughput, robustness, network protection with minimal energy consumption. In this paper we provide a comprehensive study and comparative analysis on the advanced network coding schemes on wireless mesh networks.
Survivability and Protection of Nodes and Links from Failures in WDM Mesh Networks

This paper is the base for a new project about node and link protection in wavelength division multiplexing mesh networks to assure 100% node protection in addition to the protection against the single link failure and also dual link failures, for this purpose we propose a p-cycle protection scheme. Previous studies offer some node protection shows the expense of some overlapping p-cycle with very mild impact on the bandwidth efficiency, we can guarantee node protection. A design model and solution method is introduced for solving based on the large scale optimization tools namely column generation (CG). The role of the column generation computes the node and link protection offered by p-cycles. Earlier models offer a solution where we need to concentrate on a large number of potential cycles needs first, leading to very large ILP models which cannot be scaled. We compare our model and the work of Grover and Onguetou (2009). ). Our proposed model clearly outperforms the design in terms of capacity efficiency and of the number of distinct cycles when compared with previous models.
Functional Genomic Analysis Identifies Indoxyl Sulfate as a Major, Poorly Dialyzable Uremic Toxin in End-Stage Renal Disease

Background Chronic renal failure is characterized by progressive renal scarring and accelerated arteriosclerotic cardiovascular disease despite what is considered to be adequate hemodialysis or peritoneal dialysis. In rodents with reduced renal mass, renal scarring has been attributed to poorly filtered, small protein-bound molecules. The best studied of these is indoxyl sulfate (IS). Methods We have attempted to establish whether there are uremic toxins that are not effectively removed by hemodialysis. We examined plasma from patients undergoing hemodialysis, employing global gene expression in normal human renal cortical cells incubated in pre- and post- dialysis plasma as a reporter system. Responses in cells incubated with pre- and post-dialysis uremic plasma (n = 10) were compared with responses elicited by plasma from control subjects (n = 5). The effects of adding IS to control plasma and of adding probenecid to uremic plasma were examined. Plasma concentrations of IS were measured by HPLC (high pressure liquid chromatography). Results Gene expression in our reporter system revealed dysregulation of 1912 genes in cells incubated with pre-dialysis uremic plasma. In cells incubated in post-dialysis plasma, the expression of 537 of those genes returned to baseline but the majority of them (1375) remained dysregulated. IS concentration was markedly elevated in pre- and post-dialysis plasma. Addition of IS to control plasma simulated more than 80% of the effects of uremic plasma on gene expression; the addition of probenecid, an organic anion transport (OAT) inhibitor, to uremic plasma reversed the changes in gene expression. Conclusion These findings provide evidence that hemodialysis fails to effectively clear one or more solutes that effect gene expression, in our reporter system, from the plasma of patients with uremia. The finding that gene dysregulation was simulated by the addition of IS to control plasma and inhibited by addition of an OAT inhibitor to uremic plasma identifies IS as a major, poorly dialyzable, uremic toxin. The signaling pathways initiated by IS and possibly other solutes not effectively removed by dialysis may participate in the pathogenesis of renal scarring and uremic vasculopathy.
Expression Patterns of Anaplasma marginale msp2 Variants Change in Response to Growth in Cattle, and Tick Cells versus Mammalian Cells

Antigenic variation of major surface proteins is considered an immune-evasive maneuver used by pathogens as divergent as bacteria and protozoa. Likewise, major surface protein 2 (Msp2) of the tick-borne pathogen, Anaplasma marginale, is thought to be involved in antigenic variation to evade the mammalian host immune response. However, this dynamic process also works in the tick vector in the absence of immune selection pressure. We examined Msp2 variants expressed during infection of four tick and two mammalian cell-lines to determine if the presence of certain variants correlated with specific host cell types. Anaplasma marginale colonies differed in their development and appearance in each of the cell lines (P<0.001). Using Western blots probed with two Msp2-monospecific and one Msp2-monoclonal antibodies, we detected expression of variants with differences in molecular weight. Immunofluorescence-assay revealed that specific antibodies bound from 25 to 60% of colonies, depending on the host cell-line (P<0.001). Molecular analysis of cloned variant-encoding genes demonstrated expression of different predominant variants in tick (V1) and mammalian (V2) cell-lines. Analysis of the putative secondary structure of the variants revealed a change in structure when A. marginale was transferred from one cell-type to another, suggesting that the expression of particular Msp2 variants depended on the cell-type (tick or mammalian) in which A. marginale developed. Similarly, analysis of the putative secondary structure of over 200 Msp2 variants from ticks, blood samples, and other mammalian cells available in GenBank showed the predominance of a specific structure during infection of a host type (tick versus blood sample), demonstrating that selection of a possible structure also occurred in vivo. The selection of a specific structure in surface proteins may indicate that Msp2 fulfils an important role in infection and adaptation to diverse host systems. Supplemental Abstract in Spanish (File S1) is provided.
Toward an analysis of energy consumption in multihop wireless sensor networks

Energy is indubitably identified as the single most important resource in battery-powered wireless sensor networks (WSNs). A comprehensive measurement of the energy consumption is important to accurately determine the lifetime of WSNs. In this work, we measure and analyze the energy consumption in the network based on time distribution of nodes' states. We then propose to use node's residual energy in a probability function from our previous work that could control the energy drain in a forwarding node. Simulation results are presented to evaluate the energy consumption and lifetime of the network.
Printer : Opaque this 1 Capital Allocation with CreditRisk +

Capital allocation for credit portfolios has two meanings. First, at portfolio level it means to determine capital as a buffer against an unexpected negative cash-flow resulting from credit losses. In this case, the allocation method can be specified by means of a risk measure. Its result is called economic capital of the portfolio. Second, at sub-portfolio or transaction level, capital allocation means breaking down the economic capital of the portfolio to its sub-units. The resulting capital assignments are called risk contributions. We discuss several current concepts for economic capital and risk contributions in a general setting. Then we derive formulas and algorithms for these concepts in the special case of the CreditRisk methodology with individual independent potential exposure distributions.
Groundwater arsenic contamination in Bangladesh and West Bengal, India.

Nine districts in West Bengal, India, and 42 districts in Bangladesh have arsenic levels in groundwater above the World Health Organization maximum permissible limit of 50 microg/L. The area and population of the 42 districts in Bangladesh and the 9 districts in West Bengal are 92,106 km(2) and 79.9 million and 38,865 km(2) and 42.7 million, respectively. In our preliminary study, we have identified 985 arsenic-affected villages in 69 police stations/blocks of nine arsenic-affected districts in West Bengal. In Bangladesh, we have identified 492 affected villages in 141 police stations/blocks of 42 affected districts. To date, we have collected 10,991 water samples from 42 arsenic-affected districts in Bangladesh for analysis, 58,166 water samples from nine arsenic-affected districts in West Bengal. Of the water samples that we analyzed, 59 and 34%, respectively, contained arsenic levels above 50 microg/L. Thousands of hair, nail, and urine samples from people living in arsenic-affected villages have been analyzed to date; Bangladesh and West Bengal, 93 and 77% samples, on an average, contained arsenic above the normal/toxic level. We surveyed 27 of 42 districts in Bangladesh for arsenic patients; we identified patients with arsenical skin lesions in 25 districts. In West Bengal, we identified patients with lesions in seven of nine districts. We examined people from the affected villages at random for arsenical dermatologic features (11,180 and 29,035 from Bangladesh and West Bengal, respectively); 24.47 and 15.02% of those examined, respectively, had skin lesions. After 10 years of study in West Bengal and 5 in Bangladesh, we feel that we have seen only the tip of iceberg. ImagesFigure 1Figure 2Figure 3Figure 4
Cloudsweeper and data-centric security

Most security online is binary, where being authorized to access a system allows complete access to the requested resource. This binary system amplifies the harm of giving access to an unauthorized individual and motivates system designers to strengthen access control mechanisms to the point where they become so strong as to be nearly insurmountable for illegitimate and legitimate users alike. As a result, Internet users are required to jump through several hoops to access their data: ever longer passwords, multiple authentication factors, or time consuming CAPTCHAs. Users must always provide strong proof of their identity, regardless of whether they want to check their email for something as innocuous as a movie time or as serious as a medical test result. Not surprisingly, users often disable or refuse to use these tedious security options [2, 5, 7]. Users may be better served by a data-centric approach to security, where systems are sensitive to the differing security needs of data, even within a single account or collection. A data-centric approach can apply strong security only when the data being protected warrants it, while allowing users a less encumbered experience the majority of the time. Machine learning techniques can automate the detection of sensitive information, freeing users from the tedious task of sorting their data into low and high security categories. With less friction involved in securing their data, users may be more likely to use strong security where available, resulting in a more secure Internet for everyone. We present Cloudsweeper, a tool that applies a data-centric approach to security to the specific case of plain text password sharing in Gmail accounts. Cloudsweeper detects and applies an additional layer of encryption to plain text passwords in a user's email account, while allowing the user to access the rest of their email archive as normal. Public use of Cloudsweeper shows that such a data-centric approach to securing data can be an effective way of providing users more security while still being acceptably convenient.