Miracle-dz/UniFAR-FTUs huggingface dataset:
Hardware-Based Malware Detection Using Low-Level Architectural Features

Security exploits and ensuant malware pose an increasing challenge to computing systems as the variety and complexity of attacks continue to increase. In response, software-based malware detection tools have grown in complexity, thus making it computationally difficult to use them to protect systems in real-time. Therefore, software detectors are applied selectively and at a low frequency, creating opportunities for malware to remain undetected. In this paper, we propose Malware-Aware Processors (MAP) - processors augmented with a hardware-based online malware detector to serve as the first line of defense to differentiate malware from legitimate programs. The output of this detector helps the system prioritize how to apply more expensive software-based solutions. The always-on nature of MAP detector helps protect against intermittently operating malware. We explore the use of different features for classification and study both logistic regression and neural networks. We show that the detectors can achieve excellent performance, with little hardware overhead. We integrate the MAP implementation with an open-source x86-compatible core, synthesizing the resulting design to run on an FPGA.
Dynamic Behavior and Player Types in Majoritarian Multi-Battle Contests

In a dynamic contest where it is costly to compete, a player who is behind must decide whether to surrender or to keep fighting in the face of bleak odds. We experimentally examine the game theoretic prediction of last stand behavior in a multi-battle contest with a winning prize and losing penalty, as well as the contrasting prediction of surrendering in the corresponding contest with no penalty. We find varied evidence in support of these hypotheses in the aggregated data, but more conclusive evidence when scrutinizing individual player behavior. Players’ realized strategies tend to conform to one of several “types”. We develop a taxonomy to classify player types and study how these types interact and how their incidence varies across treatments. Contrary to the theoretical prediction, escalation is the predominant behavior, but last stand and surrendering behaviors also arise at rates responsive to the importance of losing penalties.
Allosteric Regulation of the Ubiquitin:NIK and Ubiquitin:TRAF3 E3 Ligases by the Lymphotoxin-β Receptor*

The lymphotoxin-β receptor (LTβR) activates the NF-κB2 transcription factors, p100 and RelB, by regulating the NF-κB-inducing kinase (NIK). Constitutive proteosomal degradation of NIK limits NF-κB activation in unstimulated cells by the ubiquitin:NIK E3 ligase comprised of subunits TNFR-associated factors (TRAF)3, TRAF2, and cellular inhibitor of apoptosis (cIAP). However, the mechanism releasing NIK from constitutive degradation remains unclear. We found that insertion of a charge-repulsion mutation in the receptor-binding crevice of TRAF3 ablated binding of both LTβR and NIK suggesting a common recognition site. A homologous mutation in TRAF2 inhibited cIAP interaction and blocked NIK degradation. Furthermore, the recruitment of TRAF3 and TRAF2 to the ligated LTβR competitively displaced NIK from TRAF3. Ligated LTβR complexed with TRAF3 and TRAF2 redirected the specificity of the ubiquitin ligase reaction to polyubiquitinate TRAF3 and TRAF2, leading to their proteosomal degradation. Stimulus-dependent degradation of TRAF3 required the RING domain of TRAF2, but not of TRAF3, implicating TRAF2 as a key E3 ligase in TRAF turnover. The combined action of competitive displacement of NIK and TRAF degradation halted NIK turnover, and promoted its association with IKKα and signal transmission. These results indicate the LTβR modifies the ubiquitin:NIK E3 ligase, and also acts as an allosteric regulator of the ubiquitin:TRAF E3 ligase.
New algorithm for spectral smoothing and envelope modification for LP-PSOLA synthesis

The final quality of a concatenation synthesis system is directly related to the continuity of the spectrum at the concatenation point. Due to the subjective auditory masking, if we minimize the spectral distortion in the formant frequencies, the quality will increase significantly. We present, along with results concerning pitch marking, an algorithm capable of modifying the LPC envelope in a flexible way which is the heart of a spectral smoothing module for a diphone-based linear prediction pitch-synchronous overlap-add (LP-PSOLA) concatenation system. <<ETX>>
The Chemokine Receptor CCR5, a Therapeutic Target for HIV/AIDS Antagonists, Is Critical for Recovery in a Mouse Model of Japanese Encephalitis

Japanese encephalitis is a severe central nervous system (CNS) inflammatory disease caused by the mosquito-borne flavivirus, Japanese encephalitis virus (JEV). In the current study we have investigated the immune responses against JEV in mice lacking expression of the chemokine receptor CCR5, which functions in activation and chemotaxis of leukocytes during infection. We show that CCR5 serves as a host antiviral factor against Japanese encephalitis, with CCR5 deficiency markedly increasing mortality, and viral burden in the CNS. Humoral immune responses, which are essential in recovery from JEV infection, were of similar magnitude in CCR5 sufficient and deficient mice. However, absence of CCR5 resulted in a multifaceted deficiency of cellular immune responses characterized by reduced natural killer and CD8+ T cell activity, low splenic cellularity, and impaired trafficking of leukocytes to the brain. Interestingly, adoptive transfer of immune spleen cells, depleted of B lymphocytes, increased resistance of CCR5-deficient recipient mice against JEV regardless of whether the cells were obtained from CCR5-deficient or wild-type donor mice, and only when transferred at one but not at three days post-challenge. This result is consistent with a mechanism by which CCR5 expression enhances lymphocyte activation and thereby promotes host survival in Japanese encephalitis.
Fusarium brain abscess: Case report

✓ The common soil fungus, Fusarium, is rarely pathogenic in man but occasionally causes serious disease, particularly in immunocompromised hosts. A case is reported of Fusarium brain abscess and meningitis occurring in a patient with chronic infectious mononucleosis syndrome and immunodeficiency. The patient died despite aspiration of the abscess and treatment with amphotericin B. This case demonstrates the importance of identifying the offending pathological organism through abscess aspiration in immunocompromised patients.
Temporal and spatial allocation of motor preparation during a mixed-strategy game.

Adopting a mixed response strategy in competitive situations can prevent opponents from exploiting predictable play. What drives stochastic action selection is unclear given that choice patterns suggest that, on average, players are indifferent to available options during mixed-strategy equilibria. To gain insight into this stochastic selection process, we examined how motor preparation was allocated during a mixed-strategy game. If selection processes on each trial reflect a global indifference between options, then there should be no bias in motor preparation (unbiased preparation hypothesis). If, however, differences exist in the desirability of options on each trial then motor preparation should be biased toward the preferred option (biased preparation hypothesis). We tested between these alternatives by examining how saccade preparation was allocated as human subjects competed against an adaptive computer opponent in an oculomotor version of the game "matching pennies. " Subjects were free to choose between two visual targets using a saccadic eye movement. Saccade preparation was probed by occasionally flashing a visual distractor at a range of times preceding target presentation. The probability that a distractor would evoke a saccade error, and when it failed to do so, the probability of choosing each of the subsequent targets quantified the temporal and spatial evolution of saccade preparation, respectively. Our results show that saccade preparation became increasingly biased as the time of target presentation approached. Specifically, the spatial locus to which saccade preparation was directed varied from trial to trial, and its time course depended on task timing.
A 148dB focal-plane tone-mapping QCIF imager

This paper presents a QCIF HDR imager where visual information is simultaneously captured and adaptively compressed by an in-pixel tone-mapping scheme [1]. The tone mapping curve (TMC) is calculated from the histogram of an auxiliary previous image, which serves as a probability indicator of the distribution of illuminations within the current frame. The chip maps 148dB scenes onto 7-bit/pixel coding, containing illuminations from 2.2mlux (SNR10) to 55.33klux -with extreme values captured at 8s and 2. 34µs, respectively. Pixels use an Nwell-Psubstrate photodiode and autozeroing for establishing the reset voltage. Measured sensitivity is 5.79 V over lux·s. Dark current effects in the final image are attenuated by an automatic programming of the DAC levels. The chip has been fabricated in the 0. 35µm OPTO technology from AMS.
Sonochemistry - a technology for tomorrow

Une ot the areas which can benefit from ultrasound is electroplating Over the past few years a large number of chemists and engineers working in synthesis and materials processing have developed an interest in the many and varied applications of power ultrasound. These uses have been grouped together under the umbrella of sonochemistry.l. 2 Unlike other 'new' technologies, which require some special attribute of the system to be activated, such as the use of microwaves (dipolar species), electrochemistry (conducting medium) and photo­ chemistry (the presence of a chromophore) for chemical applications, ultrasound requires only the presence of a liquid to transmit its power. Sonochemistry offers a unique method of activat­ ing and accelerating chemical reactions. In chemical synthesis it has a wide range of uses spanning organometallic intermediates and most types of catalysis including phase transfer, solid supported types and enzymes, and it is generally effective in enhancing heterogeneous reactions. In metallurgy, power ultrasound has been used to improve the grain refmement of metals, to remove gas from melts, to relieve stress in welds, to work harden surfaces and to improve extrusion processes. More recent irmova­ tions include the production of even sized small spheres of metal by atomisation. Almost any electrochemical process benefits from the presence of ultrasound, with improved current efficiency and the prevention of electrode fouling these advantages are particularly evident in electroplating. Food technology has also found ultrasound to be a major new processing aid from the point of view of its applications in mixing, homogenisation, aeration, drying, freezing and meat tenderisation. Several applications have also been reported for its use as an adjunct to extraction processes. In the field of polymers and plastics, power ultrasound is extensively used for welding. Other applications include property modification, improved moulding, surface treatment and activation, curing and even the potential for recycling. Ultrasound is also being used in water treatment, cleaning (which has proved successful at replacing chlorinated solvents with aqueous based detergents) and in biotechnology, surface coatings, powder technology and ceramics.
Quantifying the Total Amounts of Tramp Elements Associated with Carbon Steel Production in Japan

Steel is one of the most recyclable materials, and thus it is recycled repeatedly. In the past three decades, end-of-life recycling rates have fluctuated over than 80% in Japan.1) In addition, even if disused steel was not be recovered at its end-of-life and remained within the technosphere for a while, it can be recovered later when its price increases.1) When steel scrap is recovered from end-of-life products, some materials other than carbon steel are mixed into the scrap. In steelmaking processes, some impurity elements, known as tramp elements, cannot be extracted from molten steel. Tramp elements in other materials that are present in the scrap can remain in recycled steel products. Through repeated recycling, contamination by tramp elements is possible.2–4) The average length of time from when steel is consumed as a finished product to when steel is recovered as steel scrap is estimated to be around 20 years.5,6) However, at least in reinforced bar steel, the contents of tramp eleQuantifying the Total Amounts of Tramp Elements Associated with Carbon Steel Production in Japan
Building an Open Language Archives Community on the OAI Foundation

The Open Language Archives Community (OLAC) is an international partnership of institutions and individuals who are creating a worldwide virtual library of language resources. The Dublin Core (DC) Element Set and the OAI Protocol have provided a solid foundation for the OLAC framework. However, we need more precision in community‐specific aspects of resource description than is offered by DC. Furthermore, many of the institutions and individuals who might participate in OLAC do not have the technical resources to support the OAI protocol. This paper presents our solutions to these two problems.
Journal of Neuroengineering and Rehabilitation Open Access Rehabilitation Robotics: Pilot Trial of a Spatial Extension for Mit-manus

Background: Previous results with the planar robot MIT-MANUS demonstrated positive benefits in trials with over 250 stroke patients. Consistent with motor learning, the positive effects did not generalize to other muscle groups or limb segments. Therefore we are designing a new class of robots to exercise other muscle groups or limb segments. This paper presents basic engineering aspects of a novel robotic module that extends our approach to anti-gravity movements out of the horizontal plane and a pilot study with 10 outpatients. Patients were trained during the initial six-weeks with the planar module (i.e., performance-based training limited to horizontal movements with gravity compensation). This training was followed by six-weeks of robotic therapy that focused on performing vertical arm movements against gravity. The 12-week protocol includes three one-hour robot therapy sessions per week (total 36 robot treatment sessions).
Recognition of micro-array protein crystals images using multi-scale representations

Micro-array protein crystal images are now routinely acquired automatically by CCD cameras. High-throughput automatic classification of protein crystals requires to alleviation of the time-consuming task of manual visual inspection. We propose a classification framework combined with a multi-scale image processing method for recognizing protein crystals and precipitates versus clear drops. The main two points of the processing method are the multi-scale Laplacian pyramid filters and histogram analysis techniques to find an effective feature vector. The processing steps include: 1. Tray well cropping using Radon Transform; 2. Droplet cropping using an ellipsoid Hough Transform; 3. Multi-scale image separation with Laplacian pyramidal filters; 4. Feature vector extraction from the histogram of the multi-scale boundary images. The feature vector combines geometric and texture features of each image and provides input to a feed forward binomial neural network classifier. Using human (expert crystallographers) classified images as ground truth, the current experimental results gave 86% true positive and 94% true negative rates (average true percentage is 90%) using an image database which contained over 2,000 images. To enable NESG collaborators to carry our crystal classification, a web-based Matlab server was also developed. Users at other locations on the internet can input micro-array crystal image folders and parameters for training and testing processes through a friendly web interface. Recognition results are shown on the client side website and may be downloaded by a remote user as an Excel spreadsheet file.
ALTERED TOPOGRAPHY OF INTRINSIC FUNCTIONAL CONNECTIVITY IN CHILDHOOD RISK FOR SOCIAL ANXIETY

Extreme shyness in childhood arising from behavioral inhibition (BI) is among the strongest risk factors for developing social anxiety. Although no imaging studies of intrinsic brain networks in children with BI have been reported, adults with a history of BI exhibit altered functioning of frontolimbic circuits and enhanced processing of salient, personally relevant information. BI in childhood may be marked by increased coupling of salience (insula) and default (ventromedial prefrontal cortex [vmPFC]) network hubs.
Structural and functional characterization of tnpI, a recombinase locus in Tn21 and related beta-lactamase transposons

A novel discrete mobile DNA element from Tn21 from the plasmid R100.1 is described, and its mobilization function was confirmed experimentally. In addition, the element behaves as a recombinase-active locus (tnpI) which facilitates insertions of antibiotic resistance genes as modules or cassettes at defined hot spots or integration sites. A similar tnpI sequence was detected by DNA hybridization in a series of beta-lactamase transposons and plasmids and localized on their physical maps. The genetic function of the locus cloned from Tn21 into pACYC184 was tested for conduction and integration into the plasmids R388 and pOX38Km, and the results suggested recombinase-integrase activity and recA independence. DNA sequence analysis of the tnpI locus revealed no inverted or direct terminal repeats or transposition features of class I and class II transposons. The coding capacity revealed three putative open reading frames encoding 131, 134, and 337 amino acids. Orf3 encoded a putative polypeptide product of 337 amino acids that shared highly significant identity with the carboxyl region of integrase proteins. A comparison and an alignment of the tnpI locus from Tn21 and its flanking sequences identified similar sequences in plasmids and in transposons. The alignment revealed discrete nucleotide changes in these tnpI-like loci and a conserved 3' and 5' GTTA/G hot spot as a duplicated target site. Our data confirm the remarkable ubiquity of tnpI associated with antibiotic resistance genes. We present a model of transposon modular evolution into more complex multiresistant units via tnpI and site-specific insertions, deletions, and DNA rearrangements at this locus.
Searching RDF Graphs with SPARQL and Keywords

The proliferation of knowledge-sharing communities like Wikipedia and the advances in automated information extraction from Web pages enable the construction of large knowledge bases with facts about entities and their relationships. The facts can be represented in the RDF data model, as so-called subject-property-object triples, and can thus be queried by structured query languages like SPARQL. In principle, this allows precise querying in the database spirit. However, RDF data may be highly diverse and queries may return way too many results, so that ranking by informativeness measures is crucial to avoid overwhelming users. Moreover, as facts are extracted from textual contexts or have community-provided annotations, it can be beneficial to consider also keywords for formulating search requests. This paper gives an overview of recent and ongoing work on ranked retrieval of RDF data with keyword-augmented structured queries. The ranking method is based on statistical language models, the state-of-the-art paradigm in information retrieval. The paper develops a novel form of language models for the structured, but schema-less setting of RDF triples and extended SPARQL queries. 1 Motivation and Background Entity-Relationship graphs are receiving great attention for information management outside of mainstream database engines. In particular, the Semantic-Web data model RDF (Resource Description Format) is gaining popularity for applications on scientific data such as biological networks [14], social Web2.0 applications [4], large-scale knowledge bases such as DBpedia [2] or YAGO [13], and more generally, as a light-weight representation for the “Web of data” [5]. An RDF data collection consists of a set of subject-property-object triples, SPO triples for short. In ER terminology, an SPO triple corresponds to a pair of entities connected by a named relationship or to an entity connected to the value of a named attribute. As the object of a triple can in turn be the subject of other triples, we can also view the RDF data as a graph of typed nodes and typed edges where nodes correspond to entities and edges to relationships (viewing attributes as relations as well). Some of the existing RDF collections contain more than a billion triples. As a simple example that we will use throughout the paper, consider a Web portal on movies. Table 1 shows a few sample triples. The example illustrates a number of specific requirements that RDF data poses for querying: Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering
Continuous 3D Face Authentication Using RGB-D Cameras

We present a continuous 3D face authentication system that uses a RGB-D camera to monitor the accessing user and ensure that only the allowed user uses a protected system. At the best of our knowledge, this is the first system that uses 3D face images to accomplish such objective. By using depth images, we reduce the amount of user cooperation that is required by the previous continuous authentication works in the literature. We evaluated our system on four 40 minutes long videos with variations in facial expressions, occlusions and pose, and an equal error rate of 0.8% was achieved.