gebhart/patrepeval huggingface dataset:
Will my pension be enough? Bridge employment intentions of Canadian Armed Forces members (2019)

Introduction: Although retirement planning in the general public has been well studied, there is little such research regarding Canadian Armed Forces (CAF) members. Prior research indicates that despite a strong pension plan, CAF Veterans often continue to work upon retiring but experience a drop in earnings compared with their military salaries. Methods: This study used a sub-sample from the Military Member/Family Finances Survey, conducted in spring 2017, including only CAF members with 16 or more years of experience and who would be eligible for their full pensions in the next 5 years or less ( n = 873). Results: It was found that approximately one-third of the CAF members surveyed were not certain of what their pension was worth at the time of the survey or would be worth upon retirement. Furthermore, over half the respondents indicated intentions to work after retirement from the CAF. Significant differences were found by sex and rank regarding both pension planning and intentions to work after retirement: female members and junior non-commissioned members appeared less knowledgeable of their pensions. Discussion: More targeted information sessions may be required for women and members of lower ranks in the CAF to support better post-release outcomes. Of the personnel intending to work after retirement, many showed no interest in earning as much money as they had with the CAF. This indicates that the previously identified drop in income for CAF Veterans may be intentional, as members may prefer less responsibility upon leaving the CAF.
UWB ranging with energy detectors using ternary preamble sequences (2006)

In this paper, a new pulse-based UWB system is proposed with low power ranging. The ternary sequence based common signaling is proposed to support power efficient energy detectors, differential detectors, and coherent detectors simultaneously. The preamble for ranging is designed to have good autocorrelation properties. The on-off keying based power efficient modulation is combined with chip mapping/spreading to provide robust system performance even in a multipath fading channel. Furthermore, a low complexity energy detection receiver structure is elaborated for leading edge detection in a multipath rich channel. System simulations are performed to demonstrate the promising performance of the proposed system
Long Term Parking (LTP): Criticality-aware Resource Allocation in OOO Processors (2015)

International audience
Using serial bluetooth converters as a sensor link in networked control systems (2011)

Networked control systems (NCS) are distributed control system in which sensors, actuators and controllers are physically separated and connected through communication networks. NCS represent the evolution of networked control architectures providing greater modularity and control decentralization, ease maintenance and diagnosis and lower cost of implementation. A recent trend in this research topic is the development of NCS using wireless networks which enable interoperability between existing wired and wireless systems. This paper presents the feasibility analysis of using a serial RS-232 to Bluetooth converter as a wireless sensor link in NCS. In order to support this investigation, relevant performance metrics for wireless control applications such as jitter, time delay and messages lost are highlighted and calculated to evaluate the converter capabilities. In addition the control performance of an implemented motor control system using the converter is analyzed. Experimental results led to the conclusion that serial RS-232 Bluetooth converters can be used to implement wireless networked control systems (WNCS) providing transmission rates and closed control loop times which are acceptable for NCS applications.
Efficient speaker search over large populations using kernelized locality-sensitive hashing (2012)

We propose a novel method of efficiently searching very large populations of speakers, tens of thousands or more, using an utterance comparison model proposed in a previous work. The model allows much more efficient comparison of utterances compared to the traditional Gaussian Mixture Model(GMM)-based approach because of its computational simplicity while maintaining high accuracy. Furthermore, efficiency can be drastically improved when approximating searches using kernelized locality-sensitive hashing (KLSH). From a speaker's utterance, a set of statistics are extracted according to the utterance comparison model and converted to a set of hash key bits. An Approximate Nearest Neighbor search using the Hamming Distance can be done to find candidate matches with the query speaker, which are then rank-ordered by linearly comparing them with the query using the utterance comparison model. Compared to GMM-based speaker identification and some of its variants that have been proposed to increase its efficiency, the proposed KLSH-based method is orders of magnitude faster while compromising a negligible amount of accuracy for sufficiently long query utterances. At a more fundamental level, we also discuss how our speaker matching framework differs from the traditional Bayesian decision rule used for speaker identification.
Denoising in Monte Carlo rendering based on Clustered-Residual block network (2020)

Monte Carlo rendering image denoising is different from natural image denoising. The auxiliary information can be used to reconstruct the image. However, ordinary convolutional networks cannot handle MC noise well, and it is difficult to establish a suitable model between noise, auxiliary information and the original image. In this paper we addresses the above issues, propose a Monte Carlo image denoising network based on deep neural network, construct a residual aggregation module, add dense connections, and extract image detail features. Combining the three most commonly used auxiliary information (depth, normal, and reflectivity) helps the network accurately restore the image. The experimental results show that the algorithm proposed in this paper can adapt to various typical scenes and effectively reduce the noise of rendered images.
Machine Learning for Robotic Manipulation (2021)

The past decade has witnessed the tremendous successes of machine learning techniques in the supervised learning paradigm, where there is a clear demarcation between training and testing. In the supervised learning paradigm, learning is inherently passive, seeking to distill human-provided supervision in large-scale datasets into high capacity models. Following these successes, machine learning researchers have looked beyond this paradigm and became interested in tasks that are more dynamic. To them, robotics serve as an excellent test-bed, for the challenges of robotics break many of the assumptions that made supervised learning successful. Out of the many different areas within robotics, robotic manipulation has become a favorite area for researchers to demonstrate new algorithms because of the vast numbers of possible applications and its highly dynamical and complex nature. This document surveys recent robotics conferences and identifies the major trends with which machine learning techniques have been applied to the challenges of robotic manipulation.
Arousal--Revisiting the Reticular Activating System (1996)

An area deep within the brain has been implicated in control of arousal or mental alertness. Two papers in this week's issue of Science [Munk et al. ( p. 271 ) and Castro-Alamancos and Connors ( p. 274 )] show how signals from this area, the midbrain reticular formation, change the physiology of the cortex, the part of the brain that governs higher functions. In his Perspective, Steriade traces the history of this field and discusses the significance of these results.
Immediate Effects of Neural Slider and Neural Tensioner on Forward Bending in Subjects with Hamstring Tightness (2021)

Background Two different neurodynamic techniques have been suggested: (i) the slider (ii) the tensioner. However, the effects of slider and tensioner on hamstring flexibility during forward bending have not been directly compared. Purpose This study aimed to compare the immediate effects of slider and tensioner on forward bending in asymptomatic subjects with hamstring tightness. Study design Two groups pre- and post-test design Methods Twenty male subjects with hamstring tightness participated in this study. The subjects were randomly allocated to the slider and tensioner groups, consisting of 10 participants each. To measure hip and lumbar flexion during forward bending, a smart motion sensor was employed. The paired <italic>t</italic>-test was applied to compare pre- and post-intervention within each group. The independent <italic>t</italic>-test was used to compare the hip and lumbar flexion angles between the two groups. Results Intragroup comparison found that the slider group had a significant increase in hip flexion range of motion at post-intervention. Intergroup comparison found a significant greater change in hip flexion range of motion between pre- and post-intervention in slider group. Conclusions Based on the results of this study, it was found that sliders are more effective than tensioners in enhancing hamstring flexibility during forward bending in subjects with hamstring tightness.
Protocols in Molecular Parasitology (1993)

Protocols in Molecular Parasitology offers a wide range of experi­ mental protocols, each written by experts, to research workers interested in exploring the molecular aspects of parasitology. This is a field that has expanded enormously in scope and potential over the last decade, although it is as yet significantly underrepresented in the literature out­ side of academic journals. The need for manuals such as this one stems in part from the increasing difficulty of reproducing experimental tech­ niques from reports in standard journal papers, where pressures on space usually result in highly abbreviated descriptions. The "Notes" sections of the following chapters are particularly aimed at counteracting this problem. Since the emphasis of the book is on aspects of molecular analysis, it was possible to devote only a limited amount of space to describing protocols for culture and isolation of the primary parasitic material. Therefore, of the numerous parasitic systems that are currently being investigated in laboratories around the world, only techniques for c- turing the "big five" are described here, since they collectively account for the great bulk of research in this field. It is also possible that some minor front-end modifications to certain protocols may be necessary, depending on exactly which parasite is being studied
Multiple mobile nodes for efficient data collection from clusters in wireless sensor network (2014)

In a wireless sensor networks, there are large numbers of sensor that are used to collect data from the network whenever any event occurs. These sensor nodes are placed at large distance from the base station. The data transmission range of sensor node is limited, so the clusters of sensor nodes are formed with the help of any optimizing algorithm. Genetic algorithm (GA), artificial bee Colony (ABC) algorithm or Particle Swarm Optimization (PSO) algorithm can be used to form clusters. The multiple mobile nodes are going to collect the data from those cluster heads. The ABC-MMN algorithm is used to minimize the energy consumed by the cluster heads. Also, instead of single mobile node, multiple mobile nodes would be used to reduce the traveling cost. The pre-computed path is being used for data collection on the basis of the clusters formed by optimizing algorithm. The communication of mobile nodes is done with each other for a change in the path during the collection of data from cluster heads.
Prevalence of severe dementia in Finland (1985)

A sample of 8,000 subjects to represent the population of Finland aged 30 years and over was used to identify patients with severe dementia; 141 cases were found. The prevalence of all types of severe dementia was 1.8% in the whole study population and 6.7% in the population aged 65 years and over. The prevalence increased with advancing age to 17.3% in the age group 85 years and over. Primary degenerative dementia constituted 50% of all cases; multi-infarct and combined dementia, 39%; and secondary dementia, 11%. Fifty-seven percent of the patients lived in institutions.
Variable Antibody-dependent Activation of Complement by Functionalized Phospholipid Nanoparticle Surfaces (2010)

A wide variety of nanomaterials are currently being developed for use in the detection and treatment of human diseases. However, there is no systematic way to measure and predict the action of such materials in biological contexts. Lipid-encapsulated nanoparticles (NPs) are a class of nanomaterials that includes the liposomes, the most widely used and clinically proven type of NPs. Liposomes can, however, activate the complement system, an important branch of innate immunity, resulting in undesirable consequences. Here, we describe the complement response to lipid-encapsulated NPs that are functionalized on the surface with various lipid-anchored gadolinium chelates. We developed a quantitative approach to examine the interaction of NPs with the complement system using in vitro assays and correlating these results with those obtained in an in vivo mouse model. Our results indicate that surface functionalization of NPs with certain chemical structures elicits swift complement activation that is initiated by a natural IgM antibody and propagated via the classical pathway. The intensity of the response is dependent on the chemical structures of the lipid-anchored chelates and not zeta potential effects alone. Moreover, the extent of complement activation may be tempered by complement inhibiting regulatory proteins that bind to the surface of NPs. These findings represent a step forward in the understanding of the interactions between nanomaterials and the host innate immune response and provide the basis for a systematic structure-activity relationship study to establish guidelines that are critical to the future development of biocompatible nanotherapeutics.
Catnip as a Source of Essential Oils (2007)

Catmint (Nepeta spp., Lamiaceae) contains about 150 species and is largely in the horticultural trade as an ornamental. Catnip (N. cataria L.), a short-lived perennial herbaceous plant, is perhaps the best-known species, long recognized as the plant that induces a state of euphoria and stupor in domesticated cats (Clapperton et al. 1994; Herron 2003). Research has shown that the essential oil of catnip, containing nepetalactones, is largely responsible for the plants biological activities including its application as a cat attractant, insect pheromone,
Gadolinium‐based contrast agents: A comprehensive risk assessment (2017)

1 Technical Efficacy: Stage 5 J. MAGN. RESON. IMAGING 2017;46:338-353.
EGF-Like-Domain-7 Is Required for VEGF-Induced Akt/ERK Activation and Vascular Tube Formation in an Ex Vivo Angiogenesis Assay (2014)

EGFL7 is a secreted angiogenic factor, which in contrast to the well-known secreted angiogenic molecules VEGF and FGF-2, is almost exclusively expressed by endothelial cells and may act in an autocrine fashion. Prior studies have shown EGFL7 to mediate its angiogenic effects by interfering with the Notch pathway and/or via the intronic miR126. Less is known about its effects on VEGF signaling. We wanted to investigate the role of epidermal growth factor-like domain 7 (EGFL7) in VEGF-driven angiogenesis using an ex vivo Matrigel-embedded mouse eye cup assay and siRNA mediated knockdown of EGFL7 by siRNA. Our results suggested that VEGF-induced vascular tube formation was significantly impaired after siRNA downregulation of EGFL7. In addition, knockdown of EGFL7 suppressed VEGF upregulation of phospho-Akt and phospho-Erk(1/2) in endothelial cells, but did not alter VEGFR phosphorylation and neuropilin-1 protein expression or miR126 expression. Thus, in conclusion, EGFL7 is required for VEGF upregulation of the Akt/Erk (1/2) pathway during angiogenesis, and may represent a new therapeutic target in diseases of pathological neovascularization.
Inhibition of Human Immunodeficiency Virus Type 1 (HIV-1) Replication by HIV-1-Based Lentivirus Vectors Expressing Transdominant Rev (2001)

Retrovirus vectors expressing transdominant-negative mutants of Rev (TdRev) inhibit human immunodeficiency virus type 1 (HIV-1) replication by preventing the nuclear export of unspliced viral transcripts, thus inhibiting the synthesis of Gag-Pol, Env, and genomic RNA. The use of HIV-1-based vectors to express TdRev would have the advantage of allowing access to nondividing hematopoietic cells. It would also provide additional levels of protection by sequestering the viral regulatory proteins Tat and Rev, competing for encapsidation into wild-type virions, and inhibiting reverse transcription. Here we describe HIV-1-based vectors that express TdRev. These vectors contain mutations in the splicing signals or replacement of the Rev-responsive element by the simian retrovirus type 1 constitutive transport element, making them less sensitive to the inhibitory effects of TdRev. In addition, overexpression of Rev and the use of an HIV-1 helper plasmid that drives high levels of Gag-Pol synthesis were used to transiently overcome the inhibition by TdRev of the synthesis of Gag-Pol during vector production. SupT1 cells transduced with these vectors were more resistant to HIV-1 replication than cells transduced with Moloney murine leukemia virus-based vectors expressing TdRev. Furthermore, we show that these vectors can be mobilized by the wild-type virus, reducing the infectivity of virions escaping inhibition and conferring protection against HIV-1 replication to previously untransduced cells.
Molecular mechanisms of the immunological abnormalities in hyper‐IgE syndrome (2011)

Hyper-IgE syndrome (HIES) is a primary immunodeficiency characterized by atopic dermatitis associated with extremely high serum IgE levels and susceptibility to staphylococcal skin abscesses and pneumonia. Recent studies have identified dominant negative mutations in the signal transducer and activator of transcription 3 gene (STAT3) as a major molecular cause of classical hyper-IgE syndrome, but the molecular mechanisms underlying this syndrome remain unclear. We recently showed that the impaired development of interleukin 17 (IL-17)-producing T helper cells (Th17 cells) due to defective IL-6 and IL-23 signaling in T cells, and the impaired generation of induced regulatory T (iT(reg) ) cells from defective IL-10 signaling in dendritic cells, may account for the immunological abnormalities of hyper-IgE syndrome. These findings open up possibilities for exploring new approaches to the treatment of HIES patients.
Anti‐inflammatory effects of cannabinoid CB<sub>2</sub> receptor activation in endotoxin‐induced uveitis (2013)

This article is part of a themed section on Cannabinoids 2013. To view the other articles in this section visit http://dx.doi.org/10.1111/bph.2014.171.issue-6.
Higher education in India: Issues, challenges and opportunities (2015)

Education is a social process. Education is regarded as one that contributes to social, political and cultural and economic transformation of a country. Education and training create assets in the form of knowledge and skills which increase the productive capacity of manpower and this is referred to as human capital. The higher education system in India has grown in a remarkable way. Higher education in India could only maintain a very small base of quality institutions. It is also facing a few important and significant challenges. It contributes to economic and social development of the country. The present study highlights the growth of higher education sector in India, its challenges and opportunities towards improvement of higher education in India. The study will be based on secondary data and information.
Ferromagnetic multilayers of Permalloy and TiN (1987)

Ferromagnetic multilayers of Permalloy (Ni 81%, Fe 19%) alternated with TiN were prepared by magnetically confined plasma dc sputtering. Rutherford backscattering spectroscopy and x-ray diffraction analysis showed high structural quality for our samples. The easy- and hard-coercivity field values and the anisotropy field values were reduced by the lamination and were almost independent of the number of layers. Electrical resistivity versus temperature and resistivity ratio measurements were also made.
极客2010 35枚未来生活的假想——11张智能时代新面孔 (2010)

如今的智能机器人“好玩”已经不那么吸引人了，更受重视的是机器人的实用性。于上个月刚刚落幕的“日本国际机器人展（International Robot Exhibition 2009）”上，筑波大学（Tsukuba University）的一位工程师向我们介绍道：“经济不景气冲击了日本的机器人研究领域，迫使该产业向实用方向转型。
Lithium Metal Oxide Electrodes For Lithium Cells And Batteries (2023)

A lithium metal oxide positive electrode for a non-aqueous lithium cell is disclosed. The cell is prepared in its initial discharged state and has a general formula xLiMO.sub.2.(1-x)Li.sub.2M'O.sub.3 in which 0<x<1, and where M is more than one ion with an average trivalent oxidation state and with at least one ion being Ni, and where M' is one or more ions with an average tetravalent oxidation state. Complete cells or batteries are disclosed with anode, cathode and electrolyte as are batteries of several cells connected in parallel or series or both.
Closed Economy (2015)

Abstract This article provides the definition of a closed economy and explains its characteristics, reasons for its existence, as well as usefulness of closed economy analysis.
Therapeutic plasma exchange as rescue therapy in severe sepsis and septic shock: retrospective observational single-centre study of 23 patients (2014)

Our data suggest that some patients with severe sepsis and septic shock may experience hemodynamic stabilisation by early TPE therapy.
Protein <i>trans</i> -splicing and its use in structural biology: opportunities and limitations (2010)

Obtaining insights into the molecular structure and dynamics of a protein by NMR spectroscopy and other in-solution biophysical methods relies heavily on the incorporation of isotopic labels or other chemical modifications such as fluorescent groups into the protein of interest. These types of modifications can be elegantly achieved with the use of split inteins in a site- and/or region-specific manner. Split inteins are split derivatives of the protein splicing element intein, and catalyze the formation of a peptide bond between two proteins. Recent progress in split intein engineering provided the opportunity to also perform peptide bond formation between a protein and a chemically synthesized peptide. We review the current state-of-the-art in preparing segmental isotope-labeled proteins for NMR spectroscopy, and highlight the importance of split intein orthogonality for the ligation of a protein from multiple fragments. Furthermore, we use split intein-mediated site-specific fluorescent labeling as a framework to illustrate the general usefulness of split inteins for custom protein modifications in the realm of structural biology. We also address some limitations of split intein technology, and offer constructive advice to overcome these shortcomings.
Event threading within news topics (2004)

With the overwhelming volume of online news available today, there is an increasing need for automatic techniques to analyze and present news to the user in a meaningful and efficient manner. Previous research focused only on organizing news stories by their topics into a flat hierarchy. We believe viewing a news topic as a flat collection of stories is too restrictive and inefficient for a user to understand the topic quickly.