Miracle-dz/UniFAR-FTUs huggingface dataset:
An Evaluation of the NVIDIA TX 1 for Supporting Real-time ComputerVision Workloads

Autonomous vehicles are an exemplar for forward-looking safety-critical real-time systems where significant computing capacity must be provided within strict size, weight, and power (SWaP) limits. A promising way forward in meeting these needs is to leverage multicore platforms augmented with graphics processing units (GPUs) as accelerators. Such an approach is being strongly advocated by NVIDIA, whose Jetson TX1 board is currently a leading multicore+GPU solution marketed for autonomous systems. Unfortunately, no study has ever been published that expressly evaluates the effectiveness of the TX1, or any other comparable platform, in hosting safety-critical real-time workloads. In this paper, such a study is presented. Specifically, the TX1 is evaluated via benchmarking efforts, blackbox evaluations of GPU behavior, and case-study evaluations involving computer-vision workloads inspired by autonomousdriving use cases. Autonomous vehicles are an exemplar for forward-looking safety-critical real-time systems where significant computing capacity must be provided within strict size, weight, and power (SWaP) limits. A promising way forward in meeting these needs is to leverage multicore platforms augmented with graphics processing units (GPUs) as accelerators. Such an approach is being strongly advocated by NVIDIA, whose Jetson TX1 board is currently a leading multicore+GPU solution marketed for autonomous systems. Unfortunately, no study has ever been published that expressly evaluates the effectiveness of the TX1, or any other comparable platform, in hosting safety-critical real-time workloads. In this paper, such a study is presented. Specifically, the TX1 is evaluated via benchmarking efforts, blackbox evaluations of GPU behavior, and case-study evaluations involving computer-vision workloads inspired by autonomousdriving use cases.
Design and use of software architectures - adopting and evolving a product-line approach

1. Software Architecture and Product Lines. I. THE DESIGNING OF SOFTWARE ARCHITECTURES. 2. Design of Software Architectures. 3. Software Architectural Design: Case Studies. 4. Functionality-Based Architectural Design. 5. Assessing Software Architectures. 6. Transformation of Software Architectures. II. SOFTWARE PRODUCT LINES. 7. Software Product Lines: An Introduction. 8. Software Product Lines: Case Studies. 9. Designing a Product-Line Architecture. 10. Developing Components: Traditional. 11. Developing Components: Object-Oriented Frameworks. 12. Family-Based System Development. 13. Evolving Product-Line Assets. 14. Organizing for Software Product Lines. 15. Industrial Experiences. References. Index.
Febrile Seizures: Long-Term Management of Children with Fever-Associated Seizures

A Consensus Development Conference on Febrile Seizures was held at the National Institutes of Health on May 19-21, 1980. The purpose of the Conference was to bring together practicing physicians, research scientists, consumers, and others in an effort to reach general agreement on the risks of sequelae in children with febrile seizures and to compare them with the potential risks and benefits of prophylaxis with anticonvulsants. This summary is the result of these deliberations. 1. What is a febrile seizure? A febrile seizure (an abnormal, sudden, excessive electrical discharge of neurons (gray matter) which propagates down the neuronal processes [white matter] to affect an end organ in a clinically measurable fashion) is an event in infancy or childhood, usually occurring between 3 months and 5 years of age, associated with fever but without evidence of intracranial infection or defined cause. Seizures with fever in children who have suffered a previous nonfebrile seizure are excluded. Febrile seizures are to be distinguished from epilepsy, which is characterized by recurrent nonfebrile seizures. 2. What are the risks facing the child who has a febrile seizure? Children who suffer a febrile seizure generally enjoy normal health after the episode. They are, however, at some risk in several respects. Thirty percent to 40% of children who have one febrile seizure and who do not receive prophylactic therapy will experience a second.
Is Forgetting Caused by Inhibition?

A well-known finding in memory research is the forgetting effect that occurs because of practicing some Item A on the recall of a related Item B. The traditional explanation for such interference effects is based on the notion of competition. According to the inhibition theory of forgetting, however, such forgetting is due to an inhibitory control process that operates whenever the retrieval of specific target information is hindered by competition from related information. The suppression of the related information is a longer lasting phenomenon that may show up on later testing. We report several experiments that were carried out to test 2 fundamental assumptions of the inhibition theory: the interference dependence and retrieval specificity assumptions. The results of these experiments do not support the predictions of the inhibition theory. Instead, the results are more compatible with the standard account that attributes the forgetting to competition at the time of the later testing.
Sea Level Forecasts and Early-Warning Application: Expanding Cooperation in the South Pacific

AbstractBecause of the need for information related to the variability and predictability of sea level on season-to-longer time scales, the Pacific ENSO Applications Climate (PEAC) Center runs the El Nino-Southern Oscillation (ENSO)-based canonical correlation analysis (CCA) statistical model to generate sea level forecasts for the U.S.-affiliated Pacific Islands (USAPI) region with lead times of 3–6 months in advance. However, in order to meet the increasing demand for longer lead-time (e.g., 6–12 months) forecasts, the PEAC Center, as part of the advances in operational sea level forecasts, recently incorporated both SST and zonal wind components of trade winds (U) for modulating sea level variability on longer time scales. The combined SST and U-based forecasts are found to be more skillful on longer time scales. This improvement has enabled the capability of our clients in the USAPI region to develop a more efficient long-term response plan for hazard management.In a recent “Regional Integrated Water .
Toward Full Elasticity in Distributed Static Analysis MSR-TR-2015-88 Diego Garbervetsky Edgardo Zoppi

In this paper we present the design and implementation of a distributed static analysis framework that is designed to scale with the size of the input. Our approach is based on the actor programming model and is deployed in the cloud. Our reliance on a cloud cluster provides a degree of elasticity for CPU, memory, and storage resources. To demonstrate the potential of our technique, we show how a typical call graph analysis can be implemented in a distributed setting. The vision that motivates this work is that every large-scale software repository such as GitHub, BitBucket, or Visual Studio Online will be able to perform static analysis on a very large scale. We experimentally validate our distributed analysis approach using a combination of both synthetic and real benchmarks. To show scalability, we demonstrate how the analysis presented in this paper is able to handle inputs that are almost 10 million LOC in size, without running out of memory. Our results show that the analysis scales well in terms of memory pressure independently of the input size, as we add more VMs. As the number of analysis VMs increases, we observe that the analysis time generally improves as well. Lastly, we demonstrate that querying the results can be performed with a median latency of 15 ms.
VISION BASED 3 D TRACKING CONTROL OF UAV

This paper presents two image-based controllers designed to track a target moving at constant velocity. Dynamical model of VTOL type UAV is manipulated to facilitate the control design. The first controller is designed for known target velocity while the second controller is designed for unknown target velocity. The work is motivated by the technique of spherical-projection used to control UAV motion in 3D using only monocular vision. In both cases, the control strategy relies on designing of driving force for the translational dynamics, from which the desired orientation and thrust are extracted. Thereafter, an inner high gain feedback loop is used to generate the control torque guaranteeing the convergence of the actual attitude to the desired one.
Comparative analysis of inductor concepts for high peak load low duty cycle operation

In this work a compact-model-based inductor design procedure is presented. The losses, temperatures, and the total cost of ownership (TCO) of an inductor are expressed analytically. All geometric dependencies are summarized in a set of parameters which are calculated using finite element analysis (FEA). Therefore the model does not depend on the actual inductor geometry, instead it only relies on a generalized set of parameters which contain all geometric information. Different inductor geometries only result in different values of parameters. The dynamic thermal model is verified using time dependent FEA, the high frequency winding loss model is verified by measurements. The inductor model is then used to study the effect of changes in inductor geometry on the performance of the device. It is shown that for applications requiring high peak but low average load substantial cost reductions are achieved if the inductor's geometry is optimized and the right inductor topology is selected.
Cloning and Expression of VP 2 Outer Coat Protein Gene of Bluetongue Serotype 1 Virus , Indian Isolate

Bluetongue (BT) is a viral disease causing morbidity and mortality in sheep, cattle and wild ruminants, including deer, sambar and bluebull. In this study we present the internal gene of outer coat protein, VP2 of bluetongue virus serotype 1 of Indian isolate was amplified from cDNA synthesized through RT-PCR using total RNA with specific forward and reverse primers. The PCR product was cloned to pBKS cloning vector and sequenced. It was found that 880bp VP2 gene was 87% homology to Australian BTV VP2 and 85% homology to BTV serotype 1. The VP2 gene was released from pBKS cloning vector and sub cloned into expression vector pET32a and expressed protein of size 32.89 KDa was confirmed by SDS-PAGE and Western blot analysis further the expressed antigen could be used for diagnosis of BT without cross reaction and for vaccination once the antigen evaluated through clinical trials.
Superparamagnetic iron oxide nanoparticles for delivery of therapeutic agents: opportunities and challenges

Introduction: Bearing in mind that many promising drug candidates have the problem of reaching their target site, the concept of advanced drug delivery can play a significant complementary role in shaping modern medicine. Among other nanoscale drug carriers, superparamagnetic iron oxide nanoparticles (SPIONs) have shown great potential in nanomedicine. The intrinsic properties of SPIONs, such as inherent magnetism, broad safety margin and the availability of methods for fabrication and surface engineering, pave the way for diverse biomedical applications. SPIONs can achieve the highest drug targeting efficiency among carriers, since an external magnetic field locally applied to the target organ enhances the accumulation of magnetic nanoparticles in the drug site of action. Moreover, theranostic multifunctional SPIONs make simultaneous delivery and imaging possible. In spite of these favorable qualities, there are some toxicological concerns, such as oxidative stress, unpredictable cellular responses and induction of signaling pathways, alteration in gene expression profiles and potential disturbance in iron homeostasis, that need to be carefully considered. Besides, the protein corona at the surface of the SPIONs may induce few shortcomings such as reduction of SPIONs targeting efficacy. Areas covered: In this review, we will present recent developments of SPIONs as theranostic agents. The article will further address some barriers on drug delivery using SPIONs. Expert opinion: One of the major success determinants in targeted in vivo drug delivery using SPIONs is the adequacy of magnetic gradient. This can be partially achieved by using superconducting magnets, local implantation of magnets and application of magnetic stents. Other issues that must be considered include the pharmacokinetics and in vivo fate of SPIONs, their biodegradability, biocompatibility, potential side effects and the crucial impact of protein corona on either drug release profile or mistargeting. Surface modification of SPIONs can open up the possibility of drug delivery to intracellular organelles, drug delivery across the blood–brain barrier, modifying metabolic diseases and a variety of other multimodal and/or theranostic applications.
Association of a UWB filter with a UWB antenna : Control of antenna characteristics

UWB systems become more and more attractive because they allow to use wider band and so to increase systems performances concerning data rates, in particular for short range applications. Their conception is constrained by desired characteristics and also by size and cost of devices. To reduce the whole size, a solution is to reduce the size of each device and to integrate them. In this article, we propose to connect the filter directly to the antenna. This allows to optimize the front-end characteristics and size reduction.
Novel lithographic technology for OLED-based display manufacturing

Common cathode organic electroluminescent diode matrices, based on a new CN-derivative of poly(2,7-fluorene phenylidene) have been developed by photolithography. Optical characterization reveals their interesting properties as white-light emitters. In addition, 7times5 pixel alphanumeric display prototypes have been manufactured using a novel lithographic technique that saves processing steps and costs.
Biofilm Formation by Hyperpiliated Mutants of Pseudomonas aeruginosa

ABSTRACT Under static growth conditions, hyperpiliated, nontwitching pilT and pilU mutants of Pseudomonas aeruginosa formed dense biofilms, showing that adhesion, not twitching motility, is necessary for biofilm initiation. Under flow conditions, the pilT mutant formed mushroom-like structures larger than those of the wild type but the pilU mutant was defective in biofilm formation. Therefore, twitching motility affects the development of biofilm structure, possibly through modulation of detachment.
Absorption properties of Silver-Silica-Gold Nanomatryushka particle and its optimization for photo-thermal cancer therapy

The tunable optical properties of Silver-Silica-Gold Nanomatryushka particle has been studied theoretically within the Mie scattering framework in context of its application in photo-thermal therapy of cancer. The absorption properties of the particle follow similar physical principles that describes the Gold-Silica-Gold nanomatryushka particles but the lower mode resonance of Silver-Silica-Gold particle has more cross section absorption efficiency. The particles of size 55nm to 70nm would be the best fit for application in the near infrared region of interest. When the core percentage is increased, there is a red shift in the resonance wavelength. Increasing the middle layer on the other hand, first causes a blue shift and later a red shift. A core percentage of 55%-60% and middle layer thickness of 20%-25% would be ideal for photo-thermal therapy. Finally, we discuss the effect of refractive index of the embedding medium on the lower mode energy resonance.
Domain Sensitive Chinese-English Example Based Machine Translation

This paper proposes a method of domain sensitive example based machine translation system between Chinese and English. First, the example base is automatically extracted according to the relative position of word alignments, which is a language independent approach. Then, through combining the text-classification technique, the EBMT system manages to select the most appropriate example base for the input text. It is indicated by the experiments that the method is sensitive to the translation domains and capable of improving the translation performance in a multi-domain environment.
Person-Based Versus Generalized Impulsivity Disinhibition in Frontotemporal Dementia and Alzheimer Disease

Background: While much disinhibition in dementia results from generalized impulsivity, in behavioral variant frontotemporal dementia (bvFTD) disinhibition may also result from impaired social cognition. Objective: To deconstruct disinhibition and its neural correlates in bvFTD vs. early-onset Alzheimer’s disease (eAD). Methods: Caregivers of 16 bvFTD and 21 matched-eAD patients completed the Frontal Systems Behavior Scale disinhibition items. The disinhibition items were further categorized into (1) “person-based” subscale which predominantly associated with violating social propriety and personal boundary and (2) “generalized-impulsivity” subscale which included nonspecific impulsive acts. Subscale scores were correlated with grey matter volumes from tensor-based morphometry on magnetic resonance images. Results: In comparison to the eAD patients, the bvFTD patients developed greater person-based disinhibition (P < 0.001) but comparable generalized impulsivity. Severity of person-based disinhibition significantly correlated with the left anterior superior temporal sulcus (STS), and generalized-impulsivity correlated with the right orbitofrontal cortex (OFC) and the left anterior temporal lobe (aTL). Conclusions: Person-based disinhibition was predominant in bvFTD and correlated with the left STS. In both dementia, violations of social propriety and personal boundaries involved fronto-parieto-temporal network of Theory of Mind, whereas nonspecific disinhibition involved the OFC and aTL.
Msx1 gene overexpression induces G1 phase cell arrest in human ovarian cancer cell line OVCAR3.

Recent evidence suggested an involvement of homeobox genes in tumorigenesis. Here we investigated whether one of homeobox-containing genes, Msx1, might be involved in the regulation of cell proliferation and cell cycle using Msx1 overexpressing human ovarian cancer cell line, OVCAR3. Overexpression of Msx1 in OVCAR3 cells inhibited cell proliferation by markedly increasing the length of the G1 phase of the cell cycle over control cells. Consistent with this result, dramatic suppression of cyclins D1, D3, E, cyclin-dependent kinase 4, c-Jun, and Rb was observed. Elevated expression of genes involved in the growth arrest and apoptosis (GADD153 and apoptotic cystein protease MCH4) and suppression of proliferation associated protein gene (PAG) in Msx1-overexpressing cells by cDNA expression array analysis provide further evidence for a potential repressor function of Msx1 in cell cycle progression.
Optimization design for rating calculations of power cables in pipes

Although standard methods in the literature for solving this problem provide satisfactory results, however, these values are not always optimal and the algorithms are not always convergent. In order to improve the current carrying capacity of power cables, based on the IEC standard, a method and associated computer program that calculate the maximum current load of underground cables were developed. This thesis takes these standard methods as a starting point and formulates the ampacity calculations as an optimization problem. The solution to this optimization problem gives required ampacity, and is determined by utilizing the barrier method and Newton's method algorithm. This algorithm is implemented in MATLAB and used to obtain ampacity solutions for cables in pipes. The results reveal that the total current can be improved by 7 %~10 % over standard ampacity method. Such an increase in total current load greatly improves the utilization efficiency of power cables and the optimization operation of Cables in pipes.
Site Occupancy Models with Heterogeneous Detection Probabilities

Summary Models for estimating the probability of occurrence of a species in the presence of imperfect detection are important in many ecological disciplines. In these “site occupancy” models, the possibility of heterogeneity in detection probabilities among sites must be considered because variation in abundance (and other factors) among sampled sites induces variation in detection probability (p). In this article, I develop occurrence probability models that allow for heterogeneous detection probabilities by considering several common classes of mixture distributions for p. For any mixing distribution, the likelihood has the general form of a zero‐inflated binomial mixture for which inference based upon integrated likelihood is straightforward. A recent paper by Link (2003, Biometrics59, 1123–1130) demonstrates that in closed population models used for estimating population size, different classes of mixture distributions are indistinguishable from data, yet can produce very different inferences about population size. I demonstrate that this problem can also arise in models for estimating site occupancy in the presence of heterogeneous detection probabilities. The implications of this are discussed in the context of an application to avian survey data and the development of animal monitoring programs.
Gradual and quantum genome size shifts in the hystricognath rodents

Abstract We assessed genome size variation by flow cytometry within and among 31 species of nine families of African and South American hystricognath rodents. Interspecific variation was extensive and genome size was relatively high among the South American radiation whereas only moderate variation and smaller estimates of genome size were observed in the African counterparts. The largest genome size, indicating tetraploidy was recorded in the South American octodontid, Tympanoctomys barrerae (16.8 pg DNA). This quantum shift in DNA content represents a novel mechanism of genome evolution in mammals. As expected in polyploid organisms, varying nucleotypic effects were observed in the dimensions of the sperm cells and lymphocytes of T. barrerae. The role of control mechanisms that influence cell dimensions in polyploid organisms is discussed.
Local/Global Analysis of the Stationary Solutions of Some Neural Field Equations

Neural or cortical fields are continuous assemblies of mesoscopic models, also called neural masses, of neural populations that are fundamental in the modeling of macroscopic parts of the brain. Neural fields are described by nonlinear integro-differential equations. The solutions of these equations represent the state of activity of these populations when submitted to inputs from neighboring brain areas. Understanding the properties of these solutions is essential to advancing our understanding of the brain. In this paper we study the dependency of the stationary solutions of the neural fields equations with respect to the stiffness of the nonlinearity and the contrast of the external inputs. This is done by using degree theory and bifurcation theory in the context of functional, in particular, infinite dimensional, spaces. The joint use of these two theories allows us to make new detailed predictions about the global and local behaviors of the solutions. We also provide a generic finite dimensional appr.