Miracle-dz/UniFAR-FTUs huggingface dataset:
Digital Commons@Becker Digital Commons@Becker Classification of traumatic brain injury for targeted therapies Classification of traumatic brain injury for targeted therapies Classification of Traumatic Brain Injury for Targeted Therapies

The heterogeneity of traumatic brain injury (TBI) is considered one of the most significant barriers to finding effective therapeutic interventions. In October, 2007, the National Institute of Neurological Disorders and Stroke, with support from the Brain Injury Association of America, the Defense and Veterans Brain Injury Center, and the National Institute of Disability and Rehabilitation Research, convened a workshop to outline the steps needed to develop a reliable, efficient and valid classification system for TBI that could be used to link specific patterns of brain and neurovascular injury with appropriate therapeutic interventions. Currently, the Glasgow Coma Scale (GCS) is the primary selection criterion for inclusion in most TBI clinical trials. While the GCS is extremely useful in the clinical management and prognosis of TBI, it does not provide specific information about the pathophysiologic mechanisms which are responsible for neurological deficits and targeted by interventions. On the premise that brain injuries with similar pathoanatomic features are likely to share common pathophysiologic mechanisms, participants proposed that a new, multidimensional classification system should be developed for TBI clinical trials. It was agreed that preclinical mod-719 classification approach for clinical trials.
Architecture of product lines

A product line is a family of products designed to take advantage of their common aspects (commonalities) and predicted variabilities. A product line may be software only, e.g., a family of GUIs; software + hardware, e.g., a family of televisions; or hardware only. Where software is a part of the product line, the variability accommodated by the product line is an economic decision and strongly affects the technology and the architecture used in the design and implementation of the product line. For example, where variability is narrowly bounded, a domain specific language may be used to define the product line and generate members of it, but the market for it may be relatively narrow. On the other hand, initial investment cost may be high, production cost very low, and time to market very short. Where variability is broadly bounded, a complex software architecture may be needed, production of products may be only semi-automated, time to market may increase, but market appeal may be much wider. Empirical studies, using baseline techniques, suggest that applying product line engineering produces a factor of three to five improvement in product development cost or product development speed. This talk will focus on the architectural considerations in defining and designing a product line, particularly questions such as "What are the attributes of a good software product line architecture? " and "How might a product line architecture change the economics of software development? ", introducing an open market both in architecture and in software components. I will illustrate points with examples taken from Lucent Technologies and Avaya, from the Software Product Line Hall of Fame, from building architecture, and from other industries.
The mechanism of breath aerosol formation.

BACKGROUND Aerosol production during normal breathing is often attributed to turbulence in the respiratory tract. That mechanism is not consistent with a high degree of asymmetry between aerosol production during inhalation and exhalation. The objective was to investigate production symmetry during breathing. METHODS The aerosol size distribution in exhaled breath was examined for different breathing patterns including normal breathing, varied breath-holding periods, and contrasting inhalation and exhalation rates. The aerosol droplet size distribution measured in the exhaled breath was examined in real time using an aerodynamic particle sizer. RESULTS AND CONCLUSIONS The dependence of the particle concentration decay rate on diameter during breath holding was consistent with gravitational settling in the alveolar spaces. Also, deep exhalation resulted in a four- to sixfold increase in concentration, and rapid inhalation produced a further two- to threefold increase in concentration. In contrast, rapid exhalation had little effect on the measured concentration. A positive correlation of the breath aerosol concentration with subject age was observed. The results were consistent with the breath aerosol being produced through fluid film rupture in the respiratory bronchioles in the early stages of inhalation and the resulting aerosol being drawn into the alveoli and held before exhalation. The observed asymmetry of production in the breathing cycle with very little aerosol being produced by exhalation is inconsistent with the widely assumed turbulence-induced aerosolization mechanism.
GoWvis: A Web Application for Graph-of-Words-based Text Visualization and Summarization

We introduce GoWvis 1 , an interactive web application that represents any piece of text inputted by the user as a graph-of-words and leverages graph degeneracy and community detection to generate an ex-tractive summary (keyphrases and sentences) of the inputted text in an un-supervised fashion. The entire analysis can be fully customized via the tuning of many text preprocessing, graph building, and graph mining parameters. Our sys-tem is thus well suited to educational purposes, exploration and early research experiments. The new summarization strategy we propose also shows promise.
Scheduling of scientific workflows in the ASKALON grid environment

Scheduling is a key concern for the execution of performance-driven Grid applications. In this paper we comparatively examine different existing approaches for scheduling of scientific workflow applications in a Grid environment. We evaluate three algorithms namely genetic, HEFT, and simple "myopic" and compare incremental workflow partitioning against the full-graph scheduling strategy. We demonstrate experiments using real-world scientific applications covering both balanced (symmetric) and unbalanced (asymmetric) workflows. Our results demonstrate that full-graph scheduling with the HEFT algorithm performs best compared to the other strategies examined in this paper.
Magnetic nano-grains from a non-magnetic material: a possible explanation

Based on positive semidefinite operator properties, an exact ground state solution is deduced for a 2D Hubbard model with periodic boundary conditions on small samples. The obtained ferromagnetic behavior is used as a possible explanation of the ferromagnetism occurring in nano-samples made of non-magnetic but metallic materials.
New Polyurethane Sealants Containing Rosin for Non-Invasive Disc Regeneration Surgery

Different polyurethane sealants were prepared by reacting methylene dyísocyanate and polyadipate of 1,4 butane diol (Mw : 2500 daltons) by using the prepolymer method and different mixtures of rosin and 1,4 butane diol were used as chain extenders. The polyurethanes were characterized by plate-plate rheology, molecular weight distribution, Differential Scanning Calorimetry (DSC), and Laser Confocal Microscopy. The tack of the polyurethanes sealants was obtained by using a modified probe tack method, and their adhesion was obtained by T-peel test of leather/polyurethane sealant/leather joints and by single lap-shear tests of aluminium/polyurethane sealant/aluminium joints. Depending on the rosin content in the chain extender the structure of the polyurethanes was different, i.e. more urethane and urethane-amide hard segments were created up to 50 eq% rosin in the chain extender, and separation of domains was prevailing in the polyurethanes with higher rosin content. Furthermore, the addition of rosin caused an increase in the length of the polymer chains and in the storage modulus (particularly in the polyurethane containing 50 eq% rosin), and decrease in the melting enthalpy. Moreover, the crystallinity of the polyurethanes containing up to 50 eq% rosin showed lower number and smaller spherulites, Finally, the tack at 37 °C and the peel strength increased in the joints made with the polyurethane sealants containing rosin whereas the adhesive shear strength decreased when the polyurethane sealant contained 50 eq% rosin or less.
SymmSLIC: Symmetry Aware Superpixel Segmentation

Over-segmentation of an image into superpixels has become an useful tool for solving various problems in computer vision. Reflection symmetry is quite prevalent in both natural and man-made objects. Existing algorithms for estimating superpixels do not preserve the reflection symmetry of an object which leads to different sizes and shapes of superpixels across the symmetry axis. In this work, we propose an algorithm to over-segment an image through the propagation of reflection symmetry evident at the pixel level to superpixel boundaries. In order to achieve this goal, we exploit the detection of a set of pairs of pixels which are mirror reflections of each other. We partition the image into superpixels while preserving this reflection symmetry information through an iterative algorithm. We compare the proposed method with state-of-the-art superpixel generation methods and show the effectiveness of the method in preserving the size and shape of superpixel boundaries across the reflection symmetry axes. We also present an application called unsupervised symmetric object segmentation to illustrate the effectiveness of the proposed approach.
Mechanism(s) Involved in Carbon Monoxide-releasing Molecule-2-mediated Cardioprotection During Ischaemia-reperfusion Injury in Isolated Rat Heart

The purpose of the present study was to determine the mechanism(s) involved in carbon monoxide-releasing molecule-2, carbon monoxide-releasing molecule-2-induced cardioprotection. We used the transition metal carbonyl compound carbon monoxide-releasing molecule-2 that can act as carbon monoxide donor in cardiac ischaemia-reperfusion injury model using isolated rat heart preparation. Langendorff's perfused rat hearts when treated with carbon monoxide-releasing molecule-2 (50 μM) for 10 min before global ischaemia exhibited significant reduction in postischaemic levels of myocardial injury markers, creatine kinase and lactate dehydrogenase in coronary effluent. Similarly, pretreatment with carbon monoxide-releasing molecule-2 showed significantly improved postischaemic recovery of heart rate, coronary flow rate, cardiodynamic parameters and reduced infarct size as compared to vehicle control hearts. Perfusion with p38 mitogen-activated protein kinase inhibitor, SB203580, a specific inhibitor of α and β isoform, before and concomitantly with carbon monoxide-releasing molecule-2 treatment abolished carbon monoxide-releasing molecule-2-induced cardioprotection. However, p38 mitogen-activated protein kinase alpha inhibitor, SCIO-469, was unable to inhibit the cardioprotective effect of carbon monoxide-releasing molecule-2. Furthermore, protective effect of carbon monoxide-releasing molecule-2 was significantly inhibited by the protein kinase C inhibitor, chelerythrine, when added before and concomitantly with carbon monoxide-releasing molecule-2. It was also observed that, perfusion with phosphatidylinositol 3-kinase inhibitor, wortmannin, before and concomitantly with carbon monoxide-releasing molecule-2 was not able to inhibit carbon monoxide-releasing molecule-2-induced cardioprotection. Interestingly, we observed that wortmannin perfusion before ischaemia and continued till reperfusion significantly inhibited carbon monoxide-releasing molecule-2-mediated cardioprotection. Our findings suggest that the carbon monoxide-releasing molecule-2 treatment may activate the p38 mitogen-activated protein kinase β and protein kinase C pathways before ischaemia and phosphatidylinositol 3-kinase pathway during reperfusion which may be responsible for the carbon monoxide-releasing molecule-2-mediated cardioprotective effect.
Advances in Developing Therapies to Combat Zika Virus: Current Knowledge and Future Perspectives

Zika virus (ZIKV) remained largely quiescent for nearly six decades after its first appearance in 1947. ZIKV reappeared after 2007, resulting in a declaration of an international “public health emergency” in 2016 by the World Health Organization (WHO). Until this time, ZIKV was considered to induce only mild illness, but it has now been established as the cause of severe clinical manifestations, including fetal anomalies, neurological problems, and autoimmune disorders. Infection during pregnancy can cause congenital brain abnormalities, including microcephaly and neurological degeneration, and in other cases, Guillain-Barré syndrome, making infections with ZIKV a substantial public health concern. Genomic and molecular investigations are underway to investigate ZIKV pathology and its recent enhanced pathogenicity, as well as to design safe and potent vaccines, drugs, and therapeutics. This review describes progress in the design and development of various anti-ZIKV therapeutics, including drugs targeting virus entry into cells and the helicase protein, nucleosides, inhibitors of NS3 protein, small molecules, methyltransferase inhibitors, interferons, repurposed drugs, drugs designed with the aid of computers, neutralizing antibodies, convalescent serum, antibodies that limit antibody-dependent enhancement, and herbal medicines. Additionally, covalent inhibitors of viral protein expression and anti-Toll-like receptor molecules are discussed. To counter ZIKV-associated disease, we need to make rapid progress in developing novel therapies that work effectually to inhibit ZIKV.
A Nonlinear Filtering Algorithm for Multi-models

In this paper we study the problem of tracking maneuvering targets in the framework of nonlinear ltering where the signal has a continuous and a discrete part. We obtain the explicit representation for the lter density and introduce an approximation for the purposes of computation. We propose two diierent numerical methods for computation of the approximation. We use a simulation of a nonlinear problem to compare the results of these new algorithms to the Interactive Multiple Model (IMM) algorithm 2] that uses the extended Kalman lter. We observe that the nonlinear ltering algorithms drastically outperform the IMM algorithm.
The Effect of Deep Friction Massage versus Stretching of Wrist Extensor Muscles in the Treatment of Patients with Tennis Elbow

Overuse injuries of the elbow and forearm are very common in athletes. This study was conducted to evaluate the effect of muscle stretching and deep friction massage with using wrist joint support during management of tennis elbow. This study included forty patients with tennis elbow divided into two equal groups: the first group with a mean age 38.1 ± 0.294 followed a physical therapy program in form of deep friction massage on the proximal attachment of wrist extensor muscles, the second group with a mean age 37.6 ± 0.253, submitted to stretching exercises of wrist extensors. Both of groups submitted to ultrasonic therapy with wrist splint during treatment period, three sessions per week for six weeks. Outcome measures were universal goniometer, visual analogue scale, and squeezing sphygmomanometer. The results showed that there was a significant improvement in ROM of wrist flexion and wrist extension, and handgrip in second group and it was more than in the first group while no significant difference in pain. This study showed that stretching exercise is more beneficial in the management of patients with tennis elbow.
Visual Information as a Conversational Resource in Collaborative Physical Tasks

In this article we consider the ways in which visual information is used as a conversational resource in the accomplishment of collaborative physical tasks. We focus on the role of visual information in maintaining task awareness and in achieving mutual understanding in conversation. We first describe the theoretical framework we use to analyze the role of visual information in physical collaboration. Then, we present two experiments that vary the amount and quality of the visual information available to participants during a collaborative bicycle repair task. We examine the effects of this visual information on performance and on conversational strategies. We conclude with a general discussion of how situational awareness and conversational grounding are achieved in collaborative tasks and with some design considerations for systems to support remote collaborative repair.
Toward a multi-feature approach to Content-Based Copy Detection

Video Content-Based Copy Detection (CBCD) is an emergent research field which is targeted to the identification of modified copies of an original clip in a given dataset, e.g., on the Internet. As opposed to digital watermarking, the content itself is used to uniquely identify the video through the extraction of features that need to be robust against a certain set of predetermined video attacks. This paper advocates the use of multiple features together with detection performance estimation to construct a flexible video signature instead of a fixed, single feature based one. To combine diverse features, a normalized linear combination is also proposed. The system performance boost is evaluated through the MPEG Video Signature Core Experiment dataset and experimental results show how the proposed signature scheme can achieve impressive improvements with respect to the single feature approach.
Sialorrhea: Anatomy, Pathophysiology and Treatment with Emphasis on the Role of Botulinum Toxins

Sialorrhea or excessive drooling is a major issue in children with cerebral palsy and adults with neurodegenerative disorders. In this review, we describe the clinical features, anatomy and physiology of sialorrhea, as well as a review of the world literature on medical treatment using Yale University’s search engine; including but not limited to Medline and Erasmus. Level of drug efficacy is defined according to the guidelines of American Academy of Neurology. Current medical management is unsatisfactory. Topical agents (scopolamine and tropicamide) and oral agents (glyccopyrolate) combined render a level B evidence (probably effective); however, this treatment is associated with troublesome side effects. Double-blind and placebo-controlled studies of botulinum toxin (BoNT) provide a level A evidence for type B (two class I studies; effective and established) and both overall and individual B level of evidence for OnabotulinumtoxinA (A/Ona) and AbobotulinumtoxinA (A/Abo); these are probably effective. For IncobotulinumtoxinA (A/Inco), the level of evidence is U (insufficient) due to lack of blinded studies. Side effects are uncommon; transient and comparable between the two types of toxin. A clinical note at the end of this review comments on fine clinical points. Administration of BoNTs into salivary glands is currently the most effective way of treating sialorrhea.
Energy-efficient and area-efficient switching scheme for SAR ADCs

This paper presents a novel energy-efficient and area-efficient common-mode based switching scheme for charge recovery successive approximation register analog-to-digital converter (CR-SAR ADC). The scheme obtains low-power switching energy owing to the common-mode based charge recovery switching method and a level-shift technique. Compared with the traditional switching scheme, the average switching energy and capacitors are reduced by about 98.44% and 75% respectively, and a high-linear performance is achieved.
FE simulation of vehicle leaf spring behavior under driving manoeuvres

Purpose – The purpose of this paper is to develop a FE based modeling procedure for describing the mechanical behavior of high‐performance leaf springs made of high‐strength steels under damaging driving manoeuvres.Design/methodology/approach – The type and number of finite elements over the thickness of leaves, as well as the definition of contact, friction and clamping conditions, have been investigated to describe the mechanical behavior in an accurate and time‐effective manner. The proposed modeling procedure is applied on a multi‐leaf spring providing complex geometry and kinematics during operation. The calculation accuracy is verified based on experimental stress results.Findings – A FE based modeling procedure is developed to describe the kinematics and mechanical behavior of high‐performance leaf springs subjected till up to extreme driving loads. Comparison of numerically determined stress distributions with corresponding experimental results for a serial front axle multi‐leaf spring providing c.
Multiple-banked register file architectures

The register file access time is one of the critical delays in current superscalar processors. Its impact on processor performance is likely to increase in future processor generations, as they are expected to increase the issue width (which implies more register ports) and the size of the instruction window (which implies more registers), and to use some kind of multithreading. Under this scenario, the register file access time could be a dominant delay and a pipelined implementation would be desirable to allow for high clock rates. However, a multi-stage register file has severe implications for processor performance (e.g. higher branch misprediction penalty) and complexity (more levels of bypass logic). To tackle these two problems, in this paper we propose a register file architecture composed of multiple banks. In particular we focus on a multi-level organization of the register file, which provides low latency and simple bypass logic. We propose several caching policies and prefetching strategies and demonstrate the potential of this multiple-banked organization. For instance, we show that a two-level organization degrades IPC by 10% and 2% with respect to a non-pipelined single-banked register file, for SpecInt95 and SpecFP95 respectively, but it increases performance by 87% and 92% when the register file access time is factored in.
The Effects of Chronic Cigarette Smoking on Gray Matter Volume: Influence of Sex

Cigarette smoke contains nicotine and toxic chemicals and may cause significant neurochemical and anatomical brain changes. Voxel-based morphometry studies have examined the effects of smoking on the brain by comparing gray matter volume (GMV) in nicotine dependent individuals (NDs) to nonsmoking individuals with inconsistent results. Although sex differences in neural and behavioral features of nicotine dependence are reported, sex differences in regional GMV remain unknown. The current study examined sex differences in GMV in a large sample of 80 NDs (41 males) and 80 healthy controls (41 males) using voxel-based morphometry. Within NDs, we explored whether GMV was correlated with measures of cigarette use and nicotine dependence. High-resolution T1 structural scans were obtained from all participants. Segmentation and registration were performed in SPM8 using the optimized DARTEL approach. Covariates included age and an estimate of total global GMV. Differences were considered significant at p≤0.001, with a whole brain FWE-corrected cluster probability of p<0.025. Among NDs compared to Controls less GMV was observed in the thalamus and bilateral cerebellum and greater GMV was observed in the bilateral putamen and right parahippocampus. Lower thalamic GMV was observed in both female and male NDs compared to Controls. Female NDs also had lower GMV in the left cerebellum and in the ventral medial and orbitofrontal cortices with no areas of greater GMV. Male NDs had lower GMV in bilateral cerebellum and greater GMV in bilateral parahippocampus and left putamen. Within male NDs, GMV in the left putamen was correlated with number of pack years. This study, conducted in a large cohort, contributes to our knowledge of brain morphology in nicotine addiction and provides additional evidence of sex-specific effects on GMV in NDs. Identifying brain vulnerabilities with respect to sex provides a methodological framework for personalized therapies to improve relapse rates for both sexes.