Miracle-dz/UniFAR-FTUs huggingface dataset:
The connection between the parsec-scale radio jet and γ-ray flares in the blazar 1156+295

The blazar 1156+295 was active atγ-ray energies, exhibiting three prominent flares during the year 2010. Here, we present results using the combination of broadband (X-ray through mm single dish) monitoring data and radio band imaging data at 43 GHz on the connection ofγ-ray events to the ejections of superluminal components and other changes in the jet of 1156+295. The kinematics of the jet over the interval 2007.0‐2012.5 using 43 GHz Very Long Baseline Array observations, reveal the presence of four moving and one stationary component in the inner region of the blazar jet. The propagation of the third a nd fourth components in the jet corresponds closely in time to the active phase of the source in γ rays. We briefly discuss the implications of the structural changes in the jet for the mec hanism of γ-ray production during bright flares. To localise the γ-ray emission site in the blazar, we performed the correlati on analysis between the 43 GHz radio core and the γ-ray light curve. The time lag obtained from the correlation constrains the γ-ray emitting region in the parsec-scale jet.
Support Vector Machines with Sparse Binary High-Dimensional Feature Vectors

We introduce SparseMinOver, a maximum margin Perceptron training algorithm based on the MinOver algorithm that can be used for SVM training when the feature vectors are sparse, high-dimensional, and binary. Such feature vectors arise when the CRO feature map is used to map the input space to the feature space. We show that the training algorithm is efficient with this type of feature vector, while preserving the accuracy of the underlying SVM. We demonstrate the accuracy and efficiency of this technique on a number of datasets, including TIMIT, for which training a standard SVM with RBF kernel is prohibitively expensive. SparseMinOver relies on storing large indices and is particularly suited to large memory machines. External Posting Date: March 18, 2016 [Fulltext] Internal Posting Date: March 18, 2016 [Fulltext]  Copyright 2016 Hewlett Packard Enterprise Development LP Support Vector Machines with Sparse Binary High-Dimensional Feature Vectors Kave Eshghi Hewlett Packard Labs 1501 Page Mill Rd. Palo Alto, CA 94304 kave.eshghi@hpe.com Mehran Kafai Hewlett Packard Labs 1501 Page Mill Rd. Palo Alto, CA 94304 mehran.kafai@hpe.com
Largest center-specific margin for dimension reduction

Dimensionality reduction plays an important role in solving the “curse of the dimensionality” and attracts a number of researchers in the past decades. In this paper, we proposed a new supervised linear dimensionality reduction method named largest center-specific margin (LCM) based on the intuition that after linear transformation, the distances between the points and their corresponding class centers should be small enough, and at the same time the distances between different unknown class centers should be as large as possible. On the basis of this observation, we take the unknown class centers into consideration for the first time and construct an optimization function to formulate this problem. In addition, we creatively transform the optimization objective function into a matrix function and solve the problem analytically. Finally, experiment results on three real datasets show the competitive performance of our algorithm.
Effects of lower limb neurodynamic mobilization on intraneural fluid dispersion of the fourth lumbar nerve root: an unembalmed cadaveric investigation

Objectives: Manual and physical therapists incorporate neurodynamic mobilisation (NDM) to improve function and decrease pain. Little is known about the mechanisms by which these interventions affect neural tissue. The objective of this research was to assess the effects of repetitive straight leg raise (SLR) NDM on the fluid dynamics within the fourth lumbar nerve root in unembalmed cadavers. Methods: A biomimetic solution (Toluidine Blue Stock 1% and Plasma) was injected intraneurally, deep to the epineurium, into the L4 nerve roots of seven unembalmed cadavers. The initial dye spread was allowed to stabilise and measured with a digital calliper. Once the initial longitudinal dye spread stabilised, an intervention strategy (repetitive SLR) was applied incorporating NDMs (stretch/relax cycles) at a rate of 30 repetitions per minute for 5 minutes. Post-intervention calliper measurements of the longitudinal dye spread were measured. Results: The mean experimental posttest longitudinal dye spread measurement (1.1 ± 0.9 mm) was significantly greater (P = 0.02) than the initial stabilised pretest longitudinal dye spread measurement. Increases ranged from 0.0 to 2.6 mm and represented an average of 7.9% and up to an 18.1% increase in longitudinal dye spread. Discussion: Passive NDM in the form of repetitive SLR induced a significant increase in longitudinal fluid dispersion in the L4 nerve root of human cadaveric specimen. Lower limb NDM may be beneficial in promoting nerve function by limiting or altering intraneural fluid accumulation within the nerve root, thus preventing the adverse effects of intraneural oedema.
A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction

Remaining useful life (RUL) prediction is a key process in condition-based maintenance for machines. It contributes to reducing risks and maintenance costs and increasing the maintainability, availability, reliability, and productivity of machines. This paper proposes a new method based on stochastic process models for machine RUL prediction. First, a new stochastic process model is constructed considering the multiple variability sources of machine stochastic degradation processes simultaneously. Then the Kalman particle filtering algorithm is used to estimate the system states and predict the RUL. The effectiveness of the method is demonstrated using simulated degradation processes and accelerated degradation tests of rolling element bearings. Through comparisons with other methods, the proposed method presents its superiority in describing the stochastic degradation processes and predicting the machine RUL.
Evidence that specific executive functions predict symptom variance among schizophrenia patients with a predominantly negative symptom profile

Introduction. Although deficits in executive functioning in schizophrenia have been consistently reported, their precise relationship to symptomatology remains unclear. Recent approaches to executive functioning in nonschizophrenia studies have aimed to “fractionate” the individual cognitive processes involved. In this study, we hypothesised that if these processes are fractionable, then particular symptom syndromes may be selectively related to executive deficits. In particular, it was hoped that this approach could clarify whether negative and positive symptoms of schizophrenia are differentially related to particular aspects of executive/attentional functions. Methods. A total of 32 patients with schizophrenia and 16 matched controls were assessed on a series of tasks designed to tap the theoretically derived executive functions of Inhibition, Shifting set, Working memory, and Sustained attention. Results. Negative symptoms were significantly predicted by performance on an “Inhibition” task (Stroop), and not by performance on any other task. Furthermore, for a subgroup of patients with predominantly negative symptoms variance in positive symptoms was only significantly predicted by performance on a set-shifting task (Visual Elevator), and not by performance on other tasks, including inhibition. Conclusions. Our results support the contention that negative symptoms can, at least partly, be conceived of as cognitive behaviours expressing specific executive deficits. Specifically, we discuss the possibility that negative symptoms may, in part, express a failure in response monitoring. We further suggest that the disordered metacognition resulting in positive symptoms may be mediated by cognitive flexibility in patients with a predominantly negative symptom profile.
Bisphenol A in canned foods in New Zealand: An exposure assessment

Exposure to bisphenol A (BPA) from the consumption of canned and bottled food has been determined for New Zealand adults. Eighty different canned foods purchased from retail outlets in Christchurch, New Zealand, between November 2003 and February 2004 were analysed for BPA concentration by gas chromatography/mass spectrometry. BPA was detected in all foods analysed except for soft drinks. Concentrations ranged from <10 to 29 µg kg−1, except for individual samples of tuna, corned beef and coconut cream, which were 109, 98 and 191 µg kg−1, respectively. The limit of quantitation was <10 µg kg−1 for foods of low fat content (<1%) and <20 µg kg−1 for foods containing >1% fat. Mean concentration data were combined with 24-h dietary recall information for 4399 individual consumers. Mean and maximum exposures were 0.008 and 0.29 µg kg−1 bw day−1, respectively, well below the temporary tolerable daily intake of 10 µg kg−1 bw day−1 given by the European Commission in 2002. The results of the present survey suggest that the levels of BPA identified in canned foods are unlikely to be of concern to adult health, and there is no reason for consumers to change their consumption patterns as a result of these findings. When the concentration data found in the current survey are applied to an oestrogenicity model for an adult male, the contribution of BPA to the total oestrogenicity from 16 food components is 7%. The impact of this level of oestrogenicity remains unclear.
Piezoelectric Buzzer Optimization for Micropumps

Piezoelectric buzzers are low cost devices which can be used successfully as actuators in diaphragm-based micro-pumps. The buzzers are piezoelectric wafers (lead-zirconatetitanate-PZT) that are glued on a brass membrane and they are available within different sizes and thicknesses. For the best performance of a diaphragm pump, it is necessary to have a large displacement of the membrane. This can be achieved by obtaining the best relationships among the thicknesses and diameters, and types of PZT and membrane, which maximize the displacement of the actuator.
A Microscopic Method of Distinguishing Dead from Living Bacterial Cells

Dilute solutions of dyes were applied to animal or plant cells nearly as far back as a century ago. By this means it was sought to gain an insight into various life processes of the cells, to demonstrate certain cellular structures, or to find out whether the cell were dead or alive. The work started by Ehrlich on nerve cells and blood cells, and the stimulus it gave other workers, have given us a respectable literature on the subject, to which contributions are still being made from time to time. The first application of "vital" stains to bacteria was made by Metchnikoff (1887) in his immortal study of phagocytosis. He says:
Chaotic synchronization to realize the optical nor logic gate via mutual coupling semiconductor lasers

Theoretical construction of the fundamental NOR gate using two injection laser diodes due to themselves mutual coupling is reported. Synchronization between two injection laser diodes in chaos is achieved via coupling mutually the two lasers while the optical logic gate is finally implemented by appropriately synchronizing or un-synchronizing the two chaotic states. Two kinds of fundamental NOR gates using single-signal modulation and dual-signal modulation of the currents are presented. Numerical results illustrate that the two NOR gates would operate NOR computing.
Isolation of three different influenza A viruses from an individual after probable double infection with H3N2 and H1N1 viruses.

It was very surprising for most virologists that two different shift strains, H3N2 and H 1 N 1, caused the pandemic at the same time and in the same place among human beings during the last winter (1977-1978). Indeed, in most countries, A/USSR/90/77-like strains (H1N1) were isolated simultaneously with A/Texas/ 1 /77-like strains (H3N2) or A/Victoria/3/75-like strains (H3N2) or both (Center for Disease Control, 1978). In addition, Dr. Kendal and his coworkers were successful in isolation of three different influenza A viruses from a high school student in Wyoming, U.S.A. These isolates were characterized and identified as A/ Victoria/ 3 / 75-like strain, A/ USSR/ 90/ 77-like strain and the recombinant strain (H3N1) (Kendal, 1978). A similar result involving the Texas and USSR strains was obtained by us. We received a pharyngeal swab from a 14-year-old female complaining of common cold-like symptoms in mid-February, 1978. Viral isolation from this swab was done by inoculation into the amniotic cavities of 10-day-old chick embryos. After one passage in the allantoic cavities, the infected fluid (amnion 1, allantois 1) showed the presence of H i and N i antigens, the configuration of the A/USSR/90/77-like strain, by hemagglutination-inhibition (HAI) and neuraminidase-inhibition (NAI) tests according to the procedures recommended by Center for Disease Control (1975). However, after one more passage in the allantoic cavity, this strain (amnion 1, allantois 2) was shown to react to antiA/Texas/ i /77 serum and the antiserum to this strain (amnion 1, allantois 2) also revealed anti-A/Texas/ 1 /77 reactivity. Accordingly, we attempted to clone the first allantoic passaged fluid (amnion 1, allantois 1) using the terminal
A Framework for Mining RFID Data From Schedule-Based Systems

A schedule-based system is a system that operates on or contains within a schedule of events and breaks at particular time intervals. Entities within the system show presence or absence in these events by entering or exiting the locations of the events. Given radio frequency identification (RFID) data from a schedule-based system, what can we learn about the system (the events and entities) through data mining? Which data mining methods can be applied so that one can obtain rich actionable insights regarding the system and the domain? The research goal of this paper is to answer these posed research questions, through the development of a framework that systematically produces actionable insights for a given schedule-based system. We show that through integrating appropriate data mining methodologies as a unified framework, one can obtain many insights from even a very simple RFID dataset, which contains only very few fields. The developed framework is general, and is applicable to any schedule-based system, as long as it operates under certain basic assumptions. The types of insights are also general, and are formulated in this paper in the most abstract way. The applicability of the developed framework is illustrated through a case study, where real world data from a schedule-based system is analyzed using the introduced framework. Insights obtained include the profiling of entities and events, the interactions between entity and events, and the relations between events.
Analysis of three-phase parallel distribution feeders fed from different substations

The paper addresses the issues regarding paralleling distribution feeders in the environment of automated distribution operations coordinated with transmission operations. The presented methodology for solving operational problems related to feeder paralleling is based on the method of compensation technique applied for solving three-phase weakly meshed distribution systems with multiple sources. This method provides reliable and fast convergence of load flow calculations and can be used for different tasks in both weakly meshed transmission and distribution systems. The method best fits for modeling three-phase unbalanced distribution systems. The paper describes how the method can be applied for analysis of parallel distribution feeders fed from different substations. The paper presents an effective algorithm for analysis of critical operational parameters of parallel feeders. Based on numerical examples of a real distribution system, the paper illustrates the relationships between operational parameters relevant to feeder paralleling.
Systematic development of series-hybrid bus through modelling

With increasingly stringent regulations on fuel emissions, vehicle manufacturers have started developing hybrid and electric versions of their vehicles. This paper presents a systematic approach to developing series-hybrid version of an existing bus through power-train modelling. The approach involves accurate modelling of the conventional bus, validating it by matching the simulation results with the tests conducted on the actual bus, and then developing the hybrid version of the bus.
Design of reconfigurable concurrent dual-band quarter-wave transformer with application of power combiner/divider

This paper presents the analysis and design of reconfigurable concurrent dual-band quarter-wave transformer using two single pole single throw Micro-Electro-Mechanical Switches. The transformer will behave as concurrent dual-band quarter-wave transmission line at 800 MHz and 1800 MHz, when both the switches are OFF; whereas, when the two switches are ON, the same quarter-wave transformer will reconfigure for concurrent dual-band operation at 900 MHz and 2100 MHz. Thus, this dual-band transformer can effectively cover operation at four frequencies while operating simultaneously at two bands for carrier aggregation applications. For validation, this transformer is used to implement reconfigurable concurrent dual-band Wilkinson power divider/combiner at these frequencies.
Phospholipid:Diacylglycerol Acyltransferase Is a Multifunctional Enzyme Involved in Membrane Lipid Turnover and Degradation While Synthesizing Triacylglycerol in the Unicellular Green Microalga Chlamydomonas reinhardtii[C][W]

This study presents detailed genetic, biochemical, functional, and physiological analyses of phospholipid:diacylglycerol acyltransferase (PDAT) in the green microalga Chlamydomonas reinhardtii. Multiple lines of evidence indicate that PDAT is a multifunctional protein and plays an essential role in membrane turnover, degradation, and TAG formation in C. reinhardtii. Many unicellular microalgae produce large amounts (∼20 to 50% of cell dry weight) of triacylglycerols (TAGs) under stress (e.g., nutrient starvation and high light), but the synthesis and physiological role of TAG are poorly understood. We present detailed genetic, biochemical, functional, and physiological analyses of phospholipid:diacylglycerol acyltransferase (PDAT) in the green microalga Chlamydomonas reinhardtii, which catalyzes TAG synthesis via two pathways: transacylation of diacylglycerol (DAG) with acyl groups from phospholipids and galactolipids and DAG:DAG transacylation. We demonstrate that PDAT also possesses acyl hydrolase activities using TAG, phospholipids, galactolipids, and cholesteryl esters as substrates. Artificial microRNA silencing of PDAT in C. reinhardtii alters the membrane lipid composition, reducing the maximum specific growth rate. The data suggest that PDAT-mediated membrane lipid turnover and TAG synthesis is essential for vigorous growth under favorable culture conditions and for membrane lipid degradation with concomitant production of TAG for survival under stress. The strong lipase activity of PDAT with broad substrate specificity suggests that this enzyme could be a potential biocatalyst for industrial lipid hydrolysis and conversion, particularly for biofuel production.
Acute presentation of autoimmune hepatitis: Does it exist? A published work review

Autoimmune hepatitis (AIH), initially called chronic aggressive hepatitis, is conceptually classified as a primary chronic disease; periportal fibrous expansion and periportal infiltration of mononuclear cells, including plasma cells, have also been considered to be histologically important diagnostic signs of AIH. However, several manuscripts which reported the acute presentation of AIH have been published recently and the reported cases of acute presentation in these manuscripts contained two different clinical entities. One is acute exacerbation of chronic AIH (acute exacerbation form) and the other is genuine acute AIH without chronic histological changes (acute form). It is clinically important to distinguish the acute form from the acute exacerbation form. The reports of the acute form revealed that the existence of centrilobular necrosis without chronic changes was the most important histological finding related to the acute form. Because the elevation of serum levels of immunoglobulin G and antinuclear antibody are not observed in some acute presentation AIH patients, the physician may not consider AIH when they encounter such patients. Therefore, it is very important to bear in mind a possibility of acute presentation AIH when the physician encounters patients with hepatic dysfunction of unknown cause because it became clear that delay of the diagnosis and start of therapy lead to the poor prognosis of AIH. In this review, we outline the current state of acute presentation of AIH including the genuine acute form based on the published clinical studies and case reports.
Summary health statistics for the U.S. population: National Health Interview Survey, 2008.

OBJECTIVES This report presents both age-adjusted and unadjusted health statistics from the 2008 National Health Interview Survey (NHIS) for the civilian noninstitutionalized population of the United States, classified by sex, age, race, Hispanic or Latino origin and race, education, family income, poverty status, health insurance coverage (where appropriate), place of residence, and region of residence. The topics covered are respondent-assessed health status, limitations in activities, special education or early intervention services, injury and poisoning episodes, health care access and utilization, and health insurance coverage. SOURCE OF DATA NHIS is a household, multistage probability sample survey conducted annually by interviewers of the U.S. Census Bureau for the Centers for Disease Control and Prevention's National Center for Health Statistics. In 2008, household interviews were completed for 74,236 persons living in 28,790 households, reflecting a household response rate of 84.9%. SELECTED HIGHLIGHTS Nearly 7 in 10 persons were in excellent or very good health in 2008. About 37 million persons (12%) were limited in their usual activities due to one or more chronic health conditions. About 4 million persons (2%) required the help of another person with activities of daily living, and about 9 million persons (4%) required the help of another person with instrumental activities of daily living. About 6% of children received special education or early intervention services. Among persons under age 65 years, about 44 million (17%) did not have any health insurance coverage. The most comrnon reason for lacking health insurance was cost, followed by a change in employment.