Miracle-dz/UniFAR-FTUs huggingface dataset:
An image survivable storage scheme based on hyperchaotic

There are lots of multimedia data files in the network, which have their own features separated from text files. Combing with the good characteristics, such as stronger pseudo-randomness, of hyperchaotic, a new kind of image survivable storage scheme is proposed. The scheme can be proved that it can realized the security and the disater recovery of the stored image. In addition, some optimization analysis are carried out through experiment simulation.
Power/Knowledge: Selected Interviews and Other Writings 1972-1977

* On Popular Justice: A Discussion with Maoists * Prison Talk * Body/ Power * Questions on Georgraphy * Two Lectures * Truth and Power * Power and Strategies * The Eye of Power * The Politics of Health in the Eighteenth Century * The history of Sexuality * The Confession of the Flesh
Parental Smoking and Risk of Childhood Brain Tumors by Functional Polymorphisms in Polycyclic Aromatic Hydrocarbon Metabolism Genes

Background A recent meta-analysis suggested an association between exposure to paternal smoking during pregnancy and childhood brain tumor risk, but no studies have evaluated whether this association differs by polymorphisms in genes that metabolize tobacco-smoke chemicals. Methods We assessed 9 functional polymorphisms in 6 genes that affect the metabolism of polycyclic aromatic hydrocarbons (PAH) to evaluate potential interactions with parental smoking during pregnancy in a population-based case-control study of childhood brain tumors. Cases (N = 202) were ≤10 years old, diagnosed from 1984–1991 and identified in three Surveillance, Epidemiology, and End Results (SEER) registries in the western U.S. Controls in the same regions (N = 286) were frequency matched by age, sex, and study center. DNA for genotyping was obtained from archived newborn dried blood spots. Results We found positive interaction odds ratios (ORs) for both maternal and paternal smoking during pregnancy, EPHX1 H139R, and childhood brain tumors (P interaction = 0.02; 0.10), such that children with the high-risk (greater PAH activation) genotype were at a higher risk of brain tumors relative to children with the low-risk genotype when exposed to tobacco smoke during pregnancy. A dose-response pattern for paternal smoking was observed among children with the EPHX1 H139R high-risk genotype only (ORno exposure = 1.0; OR≤3 hours/day = 1.32, 95% CI: 0.52–3.34; OR>3hours/day = 3.18, 95% CI: 0.92–11.0; P trend = 0.07). Conclusion Parental smoking during pregnancy may be a risk factor for childhood brain tumors among genetically susceptible children who more rapidly activate PAH in tobacco smoke.
Seed Dormancy and Delayed Flowering in Monocarpic Plants: Selective Interactions in a Stochastic Environment

We explore the effects of temporal variation in multiple demographic rates on the joint evolution of delayed reproduction and seed dormancy using integral projection models (IPMs). To do this, we extend the standard IPM to include a discrete state variable representing the number of seeds in the seed bank, density‐dependent recruitment, and temporal variation in demography. Parameter estimates for Carlina vulgaris and Carduus nutans are obtained from long‐term studies. Carlina is relatively long lived and has a short‐lived seed bank, whereas most Carduus plants flower in their first year and the seed bank is long lived. Using the evolutionarily stable strategy (ESS) approach, we predict the observed flowering and germination strategies. There is excellent agreement between the predictions and the field observations. The effects of temporal variation on the joint ESS are partitioned into components arising from nonlinear averaging (systematic changes in the mean resulting from the interaction between variability and nonlinearity) and nonequilibrium dynamics (fluctuations in fitness caused by temporal variation). This shows that temporal variation can have substantial effects on the observed flowering and germination strategies and that covariance between demographic processes is important. We extend the models to include spatial population structure and assess the robustness of the results from the nonspatial models.
Exploring congruency in dyadic affection accounts

Affection is a fundamental need, however, humans vary in their expression and interpretation of affectionate behavior which may affect the degree to which this need is met. This study examines dyadic written accounts of affection within romantic relationships. Results indicate a high level of variance between partners’ accounts of recent affection expressions. Furthermore, these accounts contain multiple affection behaviors per episode, multiple types of affection behaviors, and reflect sex differences regarding recall of recent affectionate expressions. Implications for individual and relational health are discussed. Further, study results are compared to existing affection measures and suggest a need to modify existing indexes to account for the role of context in affectionate communication revealed from qualitative affection accounts.
The Inflammatory Response to Miniaturised Extracorporeal Circulation: A Review of the Literature

Conventional cardiopulmonary bypass can trigger a systemic inflammatory response syndrome similar to sepsis. Aetiological factors include surgical trauma, reperfusion injury, and, most importantly, contact of the blood with the synthetic surfaces of the heart-lung machine. Recently, a new cardiopulmonary bypass system, mini-extracorporeal circulation (MECC), has been developed and has shown promising early results in terms of reducing this inflammatory response. It has no venous reservoir, a reduced priming volume, and less blood-synthetic interface. This review focuses on the inflammatory and clinical outcomes of using MECC and compares these to conventional cardio-pulmonary bypass (CCPB). MECC has been shown to reduce postoperative cytokines levels and other markers of inflammation. In addition, MECC reduces organ damage, postoperative complications and the need for blood transfusion. MECC is a safe and viable perfusion option and in certain circumstances it is superior to CCPB.
Differential Mucin Expression by Respiratory Syncytial Virus and Human Metapneumovirus Infection in Human Epithelial Cells

Mucins (MUC) constitute an important component of the inflammatory and innate immune response. However, the expression of these molecules by respiratory viral infections is still largely unknown. Respiratory syncytial virus (RSV) and human metapneumovirus (hMPV) are two close-related paramyxoviruses that can cause severe low respiratory tract disease in infants and young children worldwide. Currently, there is not vaccine available for neither virus. In this work, we explored the differential expression of MUC by RSV and hMPV in human epithelial cells. Our data indicate that the MUC expression by RSV and hMPV differs significantly, as we observed a stronger induction of MUC8, MUC15, MUC20, MUC21, and MUC22 by RSV infection while the expression of MUC1, MUC2, and MUC5B was dominated by the infection with hMPV. These results may contribute to the different immune response induced by these two respiratory viruses.
Event based and time based prospective memory in Parkinson’s disease

Background: Patients with Parkinson’s disease have been reported to have retrospective memory impairment, while prospective memory, which is memory for actions to be performed in the future, has not yet been investigated. Objective: To investigate the prospective memory of patients with Parkinson’s disease. Methods: Twenty Parkinson’s disease patients and 20 age matched normal controls were given event based and time based prospective memory tasks. In the event based prospective memory task, the subject was asked to perform an action whenever particular words were presented. In the time based prospective memory task, the subject was asked to perform an action at certain times. Results: The Parkinson’s disease patients were impaired on the event based prospective memory task but not on the time based prospective memory task. The impairment of the Parkinson’s disease patients on the event based prospective memory task was not the result of their forgetting the content of the prospective memory instructions, but the result of their failure to retrieve it spontaneously when the target words appeared. Conclusions: These results suggest that event based prospective memory is impaired in patients with Parkinson’s disease, presumably relating to frontal lobe dysfunction.
Planning Quasi-static Motions for Recon guring Objectswith a Multi-ngered Robotic HandMo

| We address the global motion planning aspects of dextrous manipulation by a multi-ngered robotic hand. The speciic task we address is: starting from a given initial grasp of a 3D object O, nd feasible quasi-static trajectories (rolling/sliding motions and forces) for the ngertips to move O to a desired nal connguration. We call this the re-connguration problem. Our planner is based on a two-level algorithm combining a graph search on the connguration space of the object and a local planner that solves for instantaneous quasi-static motions of the entire manipulation system. The planner is used for several complex re-connguration tasks ? for polyhedral and smooth objects. These experiments show the practicality of our approach. Contribution of the paper | The contribution of this paper is the rst implemented motion planner for quasi-static re-connguration of 3D objects by a multi-ngered hand. Our approach ? a two-level planning scheme? eeectively deals with several aspects of dextrous manipulation that make it a complex and diicult problem: high dimensionality of the search spaces, frictional contacts, rolling and sliding contacts, collision avoidance between the ngertips, and reachability and equilibrium of grasps. We know no other planner that accomplishes this. The algorithm has been implemented and used for re-connguring polyhedra and smooth objects by three and four frictional ngertips. The simulation experiments carried out are signiicant and demonstrate the practicality and the promise of our planner. There are several applications. The obvious one is to develop \high-level" capabilities for dextrous hands, particularly for changing grasps. It also has potential applications in computer animation. Abstract We address the global motion planning aspects of dex-trous manipulation by a multi-ngered robotic hand. The speciic task we address is: starting from a given initial grasp of a 3D object O, nd feasible quasi-static trajecto-ries (rolling/sliding motions and forces) for the ngertips to move O to a desired nal connguration. We call this the re-connguration problem. Our planner is based on a two-level algorithm combining a graph search on the con-guration space of the object and a local planner that solves for instantaneous quasi-static motions of the entire manipulation system. The planner is used for several complex re-connguration tasks ? for polyhedral and smooth objects. These experiments show the practicality of our approach.
Accelerating Monte Carlo Renderers by Ray Histogram Fusion

This paper details the recently introduced Ray Histogram Fusion (RHF) filter for accelerating Monte Carlo renderers [M. Delbracio et al., Boosting Monte Carlo Rendering by Ray Histogram Fusion, ACM Transactions on Graphics, 33 (2014)]. In this filter, each pixel in the image is characterized by the colors of the rays that reach its surface. Pixels are compared using a statistical distance on the associated ray color distributions. Based on this distance, it decides whether two pixels can share their rays or not. The RHF filter is consistent: as the number of samples increases, more evidence is required to average two pixels. The algorithm provides a significant gain in PSNR, or equivalently accelerates the rendering process by using many fewer Monte Carlo samples without observable bias. Since the RHF filter depends only on the Monte Carlo samples color values, it can be naturally combined with all rendering effects. Source Code The source code and the online demo are accessible at the IPOL web page of this article 1 .
Take-off and landing forces and the evolution of controlled gliding in northern flying squirrels Glaucomys sabrinus

SUMMARY Flying squirrels are well known for their ability to glide between trees at the top of a forest canopy. We present experimental performance and behavioural evidence that flight in flying squirrels may have evolved out of a need to control landing forces. Northern flying squirrels were filmed jumping from a horizontal branch to a much larger vertical pole. These were both slightly compliant (less than 1.9 mm N–1), and instrumented using strain gauges so that forces could be measured. Take-off and landing forces were both positively correlated with horizontal range between 0.5 and 2.5 m (r=0.355 and r=0.811, respectively, P<0.05), but not significantly different to each other at each range tested. Take-off forces ranged from 1 to 10 bodyweights, and landing forces were between 3 and 10 bodyweights. Glide angles increased rapidly with horizontal range, approaching 45° at 3 m, above which they gradually decreased, suggesting that northern flying squirrels are optimised for long distance travel. We show that northern flying squirrels initiate full gliding posture at ranges of less than 1 m, without landing any higher than an equivalent ballistic projectile. However, this gliding posture enables them to pitch upwards, potentially stalling the wing, and spreads the landing reaction force over all four extended limbs. At steeper approach angles of close to 45°, flying squirrels were unable to pitch up sufficiently and landed forelimbs first, consequently sustaining higher impact forces. We investigate four hypotheses to explain the origin of flight in these animals and conclude that the need to reduce landing impact forces was most likely to have stimulated the development of aerial control in flying squirrels.
Inventory Management using Passive RFID Tags : A Survey

Radio Frequency Identification (RFID) systems have emerged as an affordable solution for object identification. They are a cheap and error proof alternative to traditional object identification techniques such as bar codes and visual recognition. The problem is to identify objects attached with passive tags. If there are multiple objects within the range of the tag reader, then all objects send their identification to the tag reader at the same time in response to the tag reader’s query. This causes collisions at the tag reader and no tag is identified, leading to retransmission of tag IDs which results in wastage of bandwidth and an increase in the total delay in identifying all the objects. Hence protocols need to be devised between the tags and the tag reader to avoid or minimize collisions. Typical collision resolution protocols for a generic multi-access communication system cannot be directly applied to our problem due to constraints on the design of the tag such as lack of battery, low memory, minimum computation power, etc. The main focus of this paper is to discuss collision resolution protocols between the tag and the tag reader. We have surveyed four protocols for the above problem and discussed their merits and demerits. We also explain the applicability of each of the protocols to a scenario where objects need to be identified and updated in an inventory management system.
Distributed Data Storage with Minimum Storage Regenerating Codes - Exact and Functional Repair are Asymptotically Equally Efficient

We consider a set up where a file of size M is stored in n distributed storage nodes, using an (n,k) minimum storage regenerating (MSR) code, i.e., a maximum distance separable (MDS) code that also allows efficient exact-repair of any failed node. The problem of interest in this paper is to minimize the repair bandwidth B for exact regeneration of a single failed node, i.e., the minimum data to be downloaded by a new node to replace the failed node by its exact replica. Previous work has shown that a bandwidth of B=[M(n-1)]/[k(n-k)] is necessary and sufficient for functional (not exact) regeneration. It has also been shown that if k 1/2 remains open for k>3 and it has been shown that there is an extra bandwidth cost for exact repair over functional repair in this case. In this work, we adopt into the distributed storage context an asymptotically optimal interference alignment scheme previously proposed by Cadambe and Jafar for large wireless interference networks. With this scheme we solve the problem of repair bandwidth minimization for (n,k) exact-MSR codes for all (n,k) values including the previously open case of k > \max(n/2,3). Our main result is that, for any (n,k), and sufficiently large file sizes, there is no extra cost of exact regeneration over functional regeneration in terms of the repair bandwidth per bit of regenerated data. More precisely, we show that in the limit as M approaches infinity, the ratio B/M = (n-1)/(k(n-k))$.
Clique percolation

Derényi, Palla and Vicsek introduced the following dependent percolation model, in the context of finding communities in networks. Starting with a random graph Ggenerated by some rule, form an auxiliary graph G′ whose vertices are the k‐cliques of G, in which two vertices are joined if the corresponding cliques share k – 1 vertices. They considered in particular the case where G = G(n,p), and found heuristically the threshold function p = p(n) above which a giant component appears in G′. Here we give a rigorous proof of this result, as well as many extensions. The model turns out to be very interesting due to the essential global dependence present in G′. © 2009 Wiley Periodicals, Inc. Random Struct. Alg. , 2009
Multiattribute Utility Theory, Intertemporal Utility, and Correlation Aversion

Convenient assumptions about qualitative properties of the intertemporal utility function have generated counterintuitive implications for the relationship between atemporal risk aversion and the intertemporal elasticity of substitution. If the intertemporal utility function is additively separable, then the latter two concepts are the inverse of each other. We review a theoretical specification with a long lineage in the literature on multiâ€ attribute utility and use this theoretical structure to guide the design of a series of experiments that allow us to identify and estimate intertemporal correlation aversion. Our results show that subjects are correlation averse over lotteries with intertemporal income profiles.
More Accurate and Fast SYN Flood Detection

SYN flood attacks still dominate Distributed Denial of Service attacks. It is a great challenge to accurately detect the SYN flood attacks in high speed networks. An intelligent attacker would evade the public detection methods by suitably spoofing the attack to pretend to be benign. Keeping per- flow or per-connection state could eliminate such a spoofing, but meanwhile, it also consumes extremely huge resources. We propose a more accurate and fast SYN flood detection method, named SACK 2 , which could detect all kinds of SYN flood attacks with limited implementation costs. SACK 2 exploits the behavior of the SYN/ACK-CliACK pair to identify the victim server and the TCP port being attacked, where a SYN/ACK packet is sent by a server when receiving a connection request and a CliACK packet is the ACK packet sent by the client to complete the three-way handshake. We utilize the space efficient data structure, counting Bloom filter, to recognize the CliACK packet. Comprehensive experiments demonstrate that, SACK 2 is
Stability Proof of Iterative Interference Cancellation for OFDM Signals With Blanking Nonlinearity in Impulsive Noise Channels

Blanking nonlinearity is a widely applied technique for suppressing impulsive noise. However, for orthogonal frequency-division multiplexing signals, the blanking nonlinearity induces intercarrier interference, which must be removed in order to fully exploit the advantage of the blanking nonlinearity and to avoid performance degradation. For this purpose, interference cancellation techniques are attracting a considerable attention. Particularly, the nonlinear iterative ones show a good complexity-performance behavior. Nevertheless, one of the most important features of nonlinear iterative methods in the context of interference cancellation often remains disregarded: The stability. In this correspondence, we prove the asymptotical stability in the sense of Lyapunov of a nonlinear iterative interference cancellation technique for OFDM signals with blanking nonlinearity in impulsive noise channels. This is achieved by reformulating the considered technique as a multithreshold recurrent neural network and by taking advantage of the extensive research on the Lyapunov stability of recurrent neural networks. We show that the considered nonlinear iterative interference cancellation technique either reaches a fixed point or a limit cycle of length two. The obtained results can be utilized to find an upper bound on the required number of iterations to settle on a fixed point.
Neural network SVPWM-DTC of induction motor for EV load model

A three phases induction motor is used as an electric vehicle propulsion system in this paper. The proposed neural network speed controller is design based on the space vector modulation technique on direct torque control. Since the electric drive performance significantly lean against on the design of speed controller, thus the improvement on the speed controller become the core of this research and so it is enhanced by replace the generic speed controller by the adaptive neural network controller. The performance of the control system in addition with the neural network learning scheme are depict in this paper. The complete schemes of both conventional and proposed scheme are simulated using Mathlab. The comparison system performance between the conventional direct torque control and the proposed intelligent neural network speed control have been investigated and show a satisfy result in both steady state and transient response. The simulation results verify that the proposed direct torque controller with the adaptive speed controller for induction motor satisfy and effectiveness enough as the candidate for electric vehicle propulsion.
Private distributed collaborative filtering using estimated concordance measures

Collaborative filtering has become an established method to measure users' similarity and to make predictions about their interests. However, prediction accuracy comes at the cost of user's privacy: in order to derive accurate similarity measures, users are required to share their rating history with each other. In this work we propose a new measure of similarity, which achieves comparable prediction accuracy to the Pearson correlation coefficient, and that can successfully be estimated without breaking users' privacy. This novel method works by estimating the number of concordant, discordant and tied pairs of ratings between two users with respect to a shared random set of ratings. In doing so, neither the items rated nor the ratings themselves are disclosed, thus achieving strictly-private collaborative filtering. The technique has been evaluated using the recently released Netflix prize dataset.