gebhart/patrepeval huggingface dataset:
A Machine Learning Framework for Domain Generation Algorithm-Based Malware Detection (2019)

Attackers usually use a command and control (C2) server to manipulate the communication. In order to perform an attack, threat actors often employ a domain generation algorithm (DGA), which can allow malware to communicate with C2 by generating a variety of network locations. Traditional malware control methods, such as blacklisting, are insufficient to handle DGA threats. In this paper, we propose a machine learning framework for identifying and detecting DGA domains to alleviate the threat. We collect real-time threat data from the real-life traffic over a one-year period. We also propose a deep learning model to classify a large number of DGA domains. The proposed machine learning framework consists of a two-level model and a prediction model. In the two-level model, we first classify the DGA domains apart from normal domains and then use the clustering method to identify the algorithms that generate those DGA domains. In the prediction model, a time-series model is constructed to predict incoming domain features based on the hidden Markov model (HMM). Furthermore, we build a deep neural network (DNN) model to enhance the proposed machine learning framework by handling the huge dataset we gradually collected. Our extensive experimental results demonstrate the accuracy of the proposed framework and the DNN model. To be precise, we achieve an accuracy of 95.89% for the classification in the framework and 97.79% in the DNN model, 92.45% for the second-level clustering, and 95.21% for the HMM prediction in the framework.
Effects of contact allergens on human Langerhans cells in skin organ culture: migration, modulation of cell surface molecules, and early expression of interleukin-1 beta protein. (1996)

Epidermal Langerhans cells (LC) and cytokines play a critical role in the initiation phase of contact hypersensitivity reactions in the skin. Most of the studies of these aspects have been performed in animal models and relatively little is known about the human system. Short-term human skin organ cultures, in which LC preserved their characteristics and distribution within the epidermis, were used to examine the time course effects of contact allergens on human LC in situ and whether these effects are mediated by cytokines. Epicutaneous application of nontoxic concentrations of contact allergens 2,4-dinitrofluorobenzene, 2,4-dinitrochlorobenzene, and nickel sulphate, but not the irritants sodium dodecylsuphaye and croton oil or the tolerogen 2,4-dichloronitrobenzene, significantly reduced the total number of LC in the epidermis: remaining LC were localized along the epidermal-dermal junction, suggesting a migration of LC within and out of the epidermis. LC that are migrated to the epidermal-dermal junction showed a decreased expression of CD1a+ and MHC-II and an upregulation of ICAM-I. While these effects were observed after 24 hours, the expression of IL-1 beta protein was induced exclusively by LC as early as 4 hours after skin challenge with contact allergens alone. After 24 hours, contact allergens not only increased the expression of IL-1 beta but also induced the expression of IL-1 alpha, TNF-alpha, GM-CSF, and IL-6 proteins mainly by suprabasal keratinocytes. In an attempt to study the possible relation between allergen-induced epidermal cytokines and the migration and phenotypic changes of LC, skin explants were incubated with corresponding human recombinant (hr) cytokines. After 12 hours, hr IL-1 beta, but not other hr cytokines (IL-1 alpha, TNF-alpha, GM-CSF, and IL-6), induced the migration within and out of the epidermis and decreased the expression of CD1a+ and MHC-II on remaining epidermal LC similar to that caused by contact allergens. Pre-incubation of skin explants with neutralizing IL-1 beta antibodies, but not antibodies to IL-1 alpha, TNF-alpha, or GM-CSF, significantly prevented the allergen-induced migration of LC. This study showed that contact allergens preferentially induced the migration of LC within and out of the epidermis and modulated the expression of cell surface molecules on migrated LC as well as induced the early expression of LC-derived IL-1 beta. We also provide evidence that IL-1 beta is critically involved in contact allergen-induced changes on human epidermal LC and suggest that IL-1 beta plays a role in the initiation of contact hypersensitivity in human skin in vivo.
Pregnancy and olfaction: a review (2014)

Many women report a heightened sense of smell during pregnancy. Accounts of these anecdotes have existed for over 100 years, but scientific evidence has been sparse and inconclusive. In this review, I examine the literature on olfactory perception during pregnancy including measures of self-report, olfactory thresholds, odor identification, intensity and hedonic ratings, and disgust. Support for a general decrease in olfactory thresholds (increase in sensitivity) is generally lacking. There is limited evidence that some suprathreshold measures of olfactory perception, such as hedonic ratings of odors, are affected by pregnancy, but these effects are idiosyncratic. In this review, I explore the hypotheses that have been put forth to explain changes in olfactory perception during pregnancy and provide suggestions for further research.
Optimized Multi-Ion Cavity Coupling (2016)

Recent technological advances in cavity quantum electrodynamics (CQED) are paving the way to utilize multiple quantum emitters confined in a single optical cavity. In such systems, it is crucially important to control the quantum mechanical coupling of individual emitters to the cavity mode. In this regard, combining ion trap technologies with CQED provides a particularly promising approach due to the well-established motional control over trapped ions. Here, we experimentally demonstrate coupling of up to five trapped ions in a string to a high-finesse optical cavity. By changing the axial position and spacing of the ions in a fully deterministic manner, we systematically characterize their coupling to the cavity mode through visibility measurements of the cavity emission. In good agreement with the theoretical model, the results demonstrate that the geometrical configuration of multiple trapped ions can be manipulated to obtain optimal cavity coupling. Our system presents a new ground for exploring CQED with multiple quantum emitters, enabled by the highly controllable collective light-matter interaction.
Chronic stimulation of cultured neuronal networks boosts low-frequency oscillatory activity at theta and gamma with spikes phase-locked to gamma frequencies (2012)

Slow wave oscillations in the brain are essential for coordinated network activity but have not been shown to self-organize in vitro. Here, the development of dissociated hippocampal neurons into an active network with oscillations on multi-electrode arrays was evaluated in the absence and presence of chronic external stimulation. Significant changes in signal power were observed in the range of 1-400 Hz with an increase in amplitude during bursts. Stimulation increased oscillatory activity primarily in the theta (4-11 Hz) and slow gamma (30-55 Hz) bands. Spikes were most prominently phase-locked to the slow gamma waves. Notably, the dissociated network self-organized to exhibit sustained delta, theta, beta and gamma oscillations without input from cortex, thalamus or organized pyramidal cell layers.
Cavity-baked slot antenna for 5g communications (2017)

In this paper, a novel millimeter wave (mm-Wave) phased array antenna has been investigated for the upcoming 5th generation mobile device. The radiating element is composed of a cavity-backed slot with a gradual step inside which is connected to a short pin that connects to a micostrip feeding line. The proposed phased array antenna is working at the frequency of 28 GHz and can be easily integrated into current metallic frame handset devices while maintaining with good beam-steering characteristic. Extensive simulations ascertain the proposed mm-Wave phased antenna to be highly effective for mobile handsets with good performance.
Ultra wideband 8 to 40 GHz beam scanning phased array using antipodal exponentially-tapered slot antennas (2004)

An antipodal exponentially-tapered slot antenna (AETSA), also called as an antipodal vivaldi antenna, is designed to achieve several octave bandwidth from 8 to 40 GHz, and a 1/spl times/4 AETSA array is designed for H-plane scanning from 8 to 40 GHz. A multi-line phase shifter controlled by a piezoelectric transducer (PET) is used for H-plane scanning. The antenna gain of single antenna varies from 5 to 10 dB over the operating frequencies. The 1/spl times/4 phased array shows a wide beam scanning capability of over 30/spl deg/ in the H-plane.
A fast multi-model approach for object duplicate extraction (2009)

This paper presents an innovative approach for localizing and segmenting duplicate objects for industrial applications. The working conditions are challenging, with complex heavily-occluded objects, arranged at random in the scene. To account for high flexibility and processing speed, this approach exploits SIFT keypoint extraction and mean shift clustering to efficiently partition the correspondences between the object model and the duplicates onto the different object instances. The re-projection (by means of an Euclidean transform) of some delimiting points onto the current image is used to segment the object shapes. This procedure is compared in terms of accuracy with existing homography-based solutions which make use of RANSAC to eliminate outliers in the homography estimation. Moreover, in order to improve the extraction in the case of reflective or transparent objects, multiple object models are used and fused together. Experimental results on different and challenging kinds of objects are reported.
Background Subtraction in Real Applications: Challenges, Current Models and Future Directions (2019)

Computer vision applications based on videos often require the detection of moving objects in their first step. Background subtraction is then applied in order to separate the background and the foreground. In literature, background subtraction is surely among the most investigated field in computer vision providing a big amount of publications. Most of them concern the application of mathematical and machine learning models to be more robust to the challenges met in videos. However, the ultimate goal is that the background subtraction methods developed in research could be employed in real applications like traffic surveillance. But looking at the literature, we can remark that there is often a gap between the current methods used in real applications and the current methods in fundamental research. In addition, the videos evaluated in large-scale datasets are not exhaustive in the way that they only covered a part of the complete spectrum of the challenges met in real applications. In this context, we attempt to provide the most exhaustive survey as possible on real applications that used background subtraction in order to identify the real challenges met in practice, the current used background models and to provide future directions. Thus, challenges are investigated in terms of camera, foreground objects and environments. In addition, we identify the background models that are effectively used in these applications in order to find potential usable recent background models in terms of robustness, time and memory requirements.
P‐35: Simulation Study of Light Emission of a Backlight System with a Broad Band Cholesteric Liquid Crystal Polarizer (2002)

Abstract We analyzed the light emission from a backlight system with a cholesteric broad band polarizer by using Berrman 4×4 method. We found that light intensity in directions with polar angle smaller than 30°o was increased and higher than the back light system with only a linear polarizer. We also designed a light recycling backlight system and calculated the light efficiency.
Causal discovery and inference: concepts and recent methodological advances (2016)

This paper aims to give a broad coverage of central concepts and principles involved in automated causal inference and emerging approaches to causal discovery from i.i.d data and from time series. After reviewing concepts including manipulations, causal models, sample predictive modeling, causal predictive modeling, and structural equation models, we present the constraint-based approach to causal discovery, which relies on the conditional independence relationships in the data, and discuss the assumptions underlying its validity. We then focus on causal discovery based on structural equations models, in which a key issue is the identifiability of the causal structure implied by appropriately defined structural equation models: in the two-variable case, under what conditions (and why) is the causal direction between the two variables identifiable? We show that the independence between the error term and causes, together with appropriate structural constraints on the structural equation, makes it possible. Next, we report some recent advances in causal discovery from time series. Assuming that the causal relations are linear with nonGaussian noise, we mention two problems which are traditionally difficult to solve, namely causal discovery from subsampled data and that in the presence of confounding time series. Finally, we list a number of open questions in the field of causal discovery and inference.
Endogenous MHC Class II Processing of a Viral Nuclear Antigen After Autophagy (2004)

CD4+ T cells classically recognize antigens that are endocytosed and processed in lysosomes for presentation on major histocompatibility complex (MHC) class II molecules. Here, endogenous Epstein-Barr virus nuclear antigen 1 (EBNA1) was found to gain access to this pathway by autophagy. On inhibition of lysosomal acidification, EBNA1, the dominant CD4+ T cell antigen of latent Epstein-Barr virus infection, slowly accumulated in cytosolic autophagosomes. In addition, inhibition of autophagy decreased recognition by EBNA1-specific CD4+ T cell clones. Thus, lysosomal processing after autophagy may contribute to MHC class II-restricted surveillance of long-lived endogenous antigens including nuclear proteins relevant to disease.
Generalised optimal active control algorithm for seismic-resistant structures with active and hybrid control (2000)

The paper presents several optimal control algorithms including Riccati and instantaneous algorithms (ROAC and IOAC), generalised optimal control algorithm (GOAC), along with state control and state-slope control gain matrices. The strength and weaknesses of these algorithms are assessed and illustrated with numerical examples. It is concluded that GOAC is better than ROAC and IOAC in performance and that hybrid control is more effective in reducing structural response than active or passive devices only. Selection of state control or state-slope control gain matrix depends on the characteristics of the passive device.
A reality check for content centric networking (2011)

Content-Centric Networking (CCN) is a novel networking paradigm centered around content distribution rather than host-to-host connectivity. This change from host-centric to content-centric has several attractive advantages, such as network load reduction, low dissemination latency, and energy efficiency. However, it is unclear whether today's technology is ready for the CCN (r)evolution. The major contribution of this paper is a systematic evaluation of the suitability of existing software and hardware components in today's routers for the support of CCN. Our main conclusion is that a CCN deployment is feasible at a Content Distribution Network (CDN) and ISP scale, whereas today's technology is not yet ready to support an Internet scale deployment.
Neuronal Brain-derived Neurotrophic Factor Is Synthesized in Excess, with Levels Regulated by Sortilin-mediated Trafficking and Lysosomal Degradation (2011)

Brain-derived neurotrophic factor (BDNF) regulates neuronal differentiation, synaptic plasticity, and morphology, and modest changes in BDNF levels results in complex behavioral phenotypes. BDNF levels and intracellular localization in neurons are regulated by multiple mechanisms, including use of distinct promoters, mRNA and protein transport, and regulated cleavage of proBDNF to mature BDNF. Sortilin is an intracellular chaperone that binds to the prodomain of BDNF to traffic it to the regulated secretory pathway. However, sortilin binds to numerous ligands and plays a major role in mannose 6-phosphate receptor-independent transport of lysosomal hydrolases utilizing motifs in the intracellular domain that mediate trafficking from the Golgi and late endosomes. Sortilin is modified by ectodomain shedding, although the biological implications of this are not known. Here we demonstrate that ADAM10 is the preferred protease to cleave sortilin in the extracellular stalk region, to release the ligand binding sortilin ectodomain from the transmembrane and cytoplasmic domains. We identify sortilin shedding at the cell surface and in an intracellular compartment. Both sortilin and BDNF are trafficked to and degraded by the lysosome in neurons, and this is dependent upon the sortilin cytoplasmic tail. Indeed, expression of the sortilin ectodomain, which corresponds to the domain released after shedding, impairs lysosomal targeting and degradation of BDNF. These findings characterize the regulation of sortilin shedding and identify a novel mechanism by which sortilin ectodomain shedding acts as a regulatory switch for delivery of BDNF to the secretory pathway or to the lysosome, thus modulating the bioavailability of endogenous BDNF.
Toward content-aware multimodal tagging of personal photo collections (2007)

A growing number of tools is becoming available, that make use ofexisting tags to help organize and retrieve photos, facilitating the management and use of photo sets. The tagging on which these techniques rely remains a time consuming, labor intensive task that discourages many users. To address this problem, we aim to leverage the multimodal content of naturally occurring photo discussions among friends and families to automatically extract tags from a combination of conversational speech, handwriting, and photo content analysis. While naturally occurring discussions are rich sources of informationabout photos, methods need to be developed to reliably extract a set of discriminative tags from this noisy, unconstrained group discourse. To this end, this paper contributes ananalysis of pilot data identifying robust multimodal features examining the interplay between photo content and other modalities such as speech and handwriting. Our analysis is motivated by a search for design implications leading to the effective incorporation of automated location and person identification(e.g. based on GPS and facial recognition technologies) into a system able to extract tags from natural multimodal conversations.
Tortuosity of Battery Electrodes: Validation of Impedance-Derived Values and Critical Comparison with 3D Tomography (2018)

Tortuosity values of porous battery electrodes determined using electrochemical impedance spectroscopy in symmetric cells with a non-intercalating electrolyte are typically higher than those values based on numerical analysis of 3D tomographic reconstructions. The electrochemical approach assumes that the electronic resistance in the porous coating is negligible and that the tortuosity of the porous electrode can be calculated from the ionic resistance determined by fitting a transmission line equivalent circuit model to the experimental data. In this work, we validate the assumptions behind the electrochemical approach. First, we experimentally and theoretically investigate the influence of the electronic resistance of the porous electrode on the extracted ionic resistances using a general transmission line model, and provide a convenient method to determine whether the electronic resistance is sufficiently low for the model to be correctly applied. Second, using a macroscopic setup with known tortuosity, we prove that the ionic resistance quantified by the transmission line model indeed yields the true tortuosity of a porous medium. Based on our findings, we analyze the tortuosities of porous electrodes using both X-ray tomography and electrochemical impedance spectroscopy on electrodes from the same coating and conclude that the distribution of the polymeric binder phase, which is not imaged in most tomographic experiments, is a key reason for the underestimated tortuosity values calculated from 3D reconstructions of electrode microstructures.
How calorie-focused thinking about obesity and related diseases may mislead and harm public health. An alternative (2014)

Prevailing thinking about obesity and related diseases holds that quantifying calories should be a principal concern and target for intervention. Part of this thinking is that consumed calories - regardless of their sources - are equivalent; i.e. 'a calorie is a calorie'. The present commentary discusses various problems with the idea that 'a calorie is a calorie' and with a primarily quantitative focus on food calories. Instead, the authors argue for a greater qualitative focus on the sources of calories consumed (i.e. a greater focus on types of foods) and on the metabolic changes that result from consuming foods of different types. In particular, the authors consider how calorie-focused thinking is inherently biased against high-fat foods, many of which may be protective against obesity and related diseases, and supportive of starchy and sugary replacements, which are likely detrimental. Shifting the focus to qualitative food distinctions, a central argument of the paper is that obesity and related diseases are problems due largely to food-induced physiology (e.g. neurohormonal pathways) not addressable through arithmetic dieting (i.e. calorie counting). The paper considers potential harms of public health initiatives framed around calorie balance sheets - targeting 'calories in' and/or 'calories out' - that reinforce messages of overeating and inactivity as underlying causes, rather than intermediate effects, of obesity. Finally, the paper concludes that public health should work primarily to support the consumption of whole foods that help protect against obesity-promoting energy imbalance and metabolic dysfunction and not continue to promote calorie-directed messages that may create and blame victims and possibly exacerbate epidemics of obesity and related diseases.
Transcriptional regulation of flocculation genes in<i>Saccharomyces cerevisiae</i> (1995)

Northern analysis showed that DNA from the flocculation gene FLO1 hybridized to mRNA molecules of 4.8 kb. This transcript was specific for the FLO1 gene at the right end of chromosome I since disruption of this gene resulted in the disappearance of the transcript. We further found an absolute correlation between flocculation and the presence of transcripts hybridizing to FLO1 DNA, both in various flocculent and non-flocculent strains and in cells from the non-flocculating and flocculating stages of growth. In all cases transcripts were present in flocculating and absent from non-flocculating cultures. From these results we conclude that the FLO1 gene is transcriptionally regulated. Mutations in TUP1 or SSN6 cause flocculation. Several transcripts hybridizing to FLO1 DNA were present in the mutants but not in the corresponding wild-type strains. Disruption of the FLO1 gene in the tup1 and ssn6 strains showed that one of the transcripts corresponded to the FLO1 gene. Disruption of FLO1 did not abolish flocculation completely but only reduced it, indicating that at least two flocculation genes, including FLO1, are activated or derepressed by mutations in the TUP1/SSN6 regulatory cascade.