Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantitation of cardiolipin molecular species in spontaneously hypertensive heart failure rats using electrospray ionization mass spectrometry Published, JLR Papers in Press, March 16, 2005. DOI 10.1194/jlr.M500031-JLR200

Electrospray ionization mass spectrometry has previously been used to probe qualitative changes in the phospholipid cardiolipin (CL), but it has rarely been used in a quantitative manner. We assessed changes in the amount of individual molecular species of cardiac CL present in a model of congestive heart failure using 1,1′,2,2′-tetramyristoyl cardiolipin as an internal standard. There was a linear relationship between the ratio of the negative molecular ion ([M-H]−) current from four different CL reference standards and the [M-H]− from the internal standard, as a function of the concentration of CL molecular species. Therefore, this internal standard can be used to quantitate many naturally occurring CL molecular species over a wide range of CL concentrations. Using this method, changes to individual molecular species of CL in failing hearts from male spontaneously hypertensive heart failure rats were examined. CL isolated from cardiac mitochondria was compared with left ventricular tissue to demonstrate the feasibility of extracting and quantitating CL from either mitochondrial or tissue samples. The acyl chain composition of individual CL molecular species was identified using tandem mass spectrometry. In animals with heart failure, the major cardiac CL species (tetralinoloyl) decreased significantly, whereas other minor CL species were significantly increased.
Performance evaluation of PI and fuzzy tuned PI controllers for single phase bridgeless modified SEPIC converter

The design and simulation of bridgeless modified Single Ended Primary Inductance Converter (SEPIC) is presented in this paper. This converter is designed by introducing the voltage multiplier technique to the conventional SEPIC converter which provides high static gain, low conduction losses and low switching stresses. This converter combines the operation of diode bridge rectifier and modified SEPIC converter into a single circuit. Both open loop and closed loop simulations are done under steady state and dynamic conditions using MATLAB SIMULINK. Performances of PI and fuzzy tuned PI controllers are evaluated for the designed converter.
Exploring cross-event relations on Twitter datasets via topic recommendation and word embedding

The ability to compute the degree of semantic similarity of real world events represented by social data and tracking the cross-event clues on a huge collection of social messages (i.e., tweets) has proven useful for a wide variety of event-awareness applications. The developed system should be able to overcome the challenge of high redundancy in social corpus (e.g. Twitter messages) and the sparsity inherent in their short texts. In this work, we propose a method to explore implicit relations on Twitter-based detected event datasets using an online event detection and word embedding technique for event analysis. The preliminary empirical result showed that the combined framework in our system is sensible for mining more unknown knowledge about event impacts.
Learning Climate and Job Performance among Health Workers. A Pilot Study

This paper will explore if and how psychological strain plays a mediator role between the learning climate and job performance in a group of health workers. Although the relationship between learning climate and job performance has already been explored in the international literature, the role of psychological strain, which may hamper or deepen this relationship, has yet to be investigated. The research hypothesis is that psychological strain mediates the relationship between the climate toward learning (including also the error avoidance climate) and job performance. Data were gathered in a Public hospital in Italy. Participants (N = 61) were health professionals (nurses and obstetricians). Considering the relatively small sample size, a mediation analysis with the aid of the SPSS macro PROCESS was performed. The results show that the relationship between the learning climate (specifically its dimension of organizational appreciation toward learning) and job performance is mediated by psychological strain. The future research agenda and practical implications are discussed in the paper.
Thermal deactivation of Pseudomonas aeruginosa biofilms

Bacterial biofilm infection is a common (~ 2 to 4%) complication for recipients of surgically implanted medical devices. Due to the tremendous increase in antibiotic resistance when these bacteria enter the biofilm phenotype, present treatment requires explantation and replacement of the device, often with multiple surgeries and always with much longer patient recovery time. The specific objective of this study was to quantify the degree of deactivation of biofilm from exposure to thermal shock for varying temperature and time durations. While extreme temperature (>150˚C) is routinely used to sterilize (e.g. autoclaves), such temperatures have a severe cost within the body. Despite extensive studies on thermal deactivation of bacteria in the planktonic phenotype over a wide range of temperatures (e.g., pasteurization protocols), surprisingly little is known about the thermal deactivation of biofilms except under extreme conditions. Here, the deactivation of Pseudomonas aeruginosa biofilms is reported. These biofilms were cultured in two ways, using a batch mode setup with an orbital shaker and with a continuous drip-flow reactor (DFR). These two culturing techniques resulted in different biofilm architecture and a bacteria concentration 350 times higher for the DFR biofilms. The DFR biofilms, becoming the focus of the study, were cultured at 37°C for 24 hours and subjected to heat shocks on the range of 50°C to 80°C for durations of 1 to 30 minutes. Heat shocks were delivered by immersion in thermostatted media for the prescribed time and the resulting concentration of colony forming units (CFU/cm 2) were quantified using direct enumeration. Up to 6.6 orders of magnitude reduction in CFU concentration was observed, indicating that thermal deactivation is a reasonable approach to biofilm mitigation. Integrating this approach with a magnetic nanoparticle implant coating will result in an innovative treatment for implant infections in situ without explantation or device replacement. iii PUBLIC ABSTRACT Bacterial biofilm infection is a common (~ 2 to 4%) complication for recipients of surgically implanted medical devices. Due to the tremendous increase in antibiotic resistance when these bacteria enter the biofilm phenotype, present treatment requires explantation and replacement of the device, often with multiple surgeries and always with much longer patient recovery time. The specific objective of this study was to quantify the degree of biofilm deactivation from exposure to thermal shock for varying temperature and time durations. While extreme temperature (>150˚C) is routinely used to sterilize (e.g. autoclaves), such temperatures have a severe cost within the body. …
Small millimeter wave printed antenna arrays for 5G applications

A number of small millimeter (mm) wave printed antenna arrays for 5G applications are presented. These antennas are candidates for medium mobility 5G applications that need to have smaller form factors than base stations but not as small as cell phones and tablets. A variety of arrays is presented with gains around 10dBi-14dBi and number of elements 4 and 8, respectively. All antennas have been fabricated on standard PCB with standard methods. Measurements and simulations are presented.
Cost-effectiveness of investing in sidewalks as a means of increasing physical activity: a RESIDE modelling study

Background Studies consistently find that supportive neighbourhood built environments increase physical activity by encouraging walking and cycling. However, evidence on the cost-effectiveness of investing in built environment interventions as a means of promoting physical activity is lacking. In this study, we assess the cost-effectiveness of increasing sidewalk availability as one means of encouraging walking. Methods Using data from the RESIDE study in Perth, Australia, we modelled the cost impact and change in health-adjusted life years (HALYs) of installing additional sidewalks in established neighbourhoods. Estimates of the relationship between sidewalk availability and walking were taken from a previous study. Multistate life table models were used to estimate HALYs associated with changes in walking frequency and duration. Sensitivity analyses were used to explore the impact of variations in population density, discount rates, sidewalk costs and the inclusion of unrelated healthcare costs in added life years. Results Installing and maintaining an additional 10 km of sidewalk in an average neighbourhood with 19 000 adult residents was estimated to cost A$4.2 million over 30 years and gain 24 HALYs over the lifetime of an average neighbourhood adult resident population. The incremental cost-effectiveness ratio was A$176 000/HALY. However, sensitivity results indicated that increasing population densities improves cost-effectiveness. Conclusions In low-density cities such as in Australia, installing sidewalks in established neighbourhoods as a single intervention is unlikely to cost-effectively improve health. Sidewalks must be considered alongside other complementary elements of walkability, such as density, land use mix and street connectivity. Population density is particularly important because at higher densities, more residents are exposed and this improves the cost-effectiveness. Health gain is one of many benefits of enhancing neighbourhood walkability and future studies might consider a more comprehensive assessment of its social value (eg, social cohesion, safety and air quality).
Positive Neural Networks in Discrete Time Implement Monotone-Regular Behaviors

We study the expressive power of positive neural networks. The model uses positive connection weights and multiple input neurons. Different behaviors can be expressed by varying the connection weights. We show that in discrete time and in the absence of noise, the class of positive neural networks captures the so-called monotone-regular behaviors, which are based on regular languages. A finer picture emerges if one takes into account the delay by which a monotone-regular behavior is implemented. Each monotone-regular behavior can be implemented by a positive neural network with a delay of one time unit. Some monotone-regular behaviors can be implemented with zero delay. And, interestingly, some simple monotone-regular behaviors cannot be implemented with zero delay.
The beta function of the chiral Gross-Neveu model at O(1/N2).

We compute the [ital O](1/[ital N][sup 2]) correction to the critical exponent 2[lambda]=[minus][beta][prime]([ital g][sub [ital c]]) for the chiral Gross-Neveu model in arbitrary dimensions by substituting the corrections to the asymptotic scaling forms of the propagators into the Schwinger-Dyson equations and solving the resulting consistency equations.
Comparing Rule-based and Statistical MT Output Gregor Thurmair linguatec

This paper describes a comparison between a statistical and a rule-based MT system. The first section describes the setup and the evaluation results; the second section analyses the strengths and weaknesses of the respective approaches, and the third tries to define an architecture for a hybrid system, based on a rule-based backbone and enhanced by statistical intelligence. This contribution originated in a project called “Translation Quality for Professionals” (TQPro) which aimed at developing translation tools for professional translators. One of the interests in this project was to find a baseline for machine translation quality, and to extend MT quality beyond it. The baseline should compare stateof-the-art techniques for both statistical packages and rulebased systems, and draw conclusions from the comparison. This paper presents some insights into the results of this work.
Adjusting retinol-binding protein concentrations for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project

Background: The accurate estimation of the prevalence of vitamin A deficiency (VAD) is important in planning and implementing interventions. Retinol-binding protein (RBP) is often used in population surveys to measure vitamin A status, but its interpretation is challenging in settings where inflammation is common because RBP concentrations decrease during the acute-phase response. Objectives: We aimed to assess the relation between RBP concentrations and inflammation and malaria in preschool children (PSC) (age range: 6–59 mo) and women of reproductive age (WRA) (age range: 15–49 y) and to investigate adjustment algorithms to account for these effects. Design: Cross-sectional data from 8 surveys for PSC (n = 8803) and 4 surveys for WRA (n = 4191) from the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project were analyzed individually and combined with the use of a meta-analysis. Several approaches were explored to adjust RBP concentrations in PSC in inflammation and malaria settings as follows: 1) the exclusion of subjects with C-reactive protein (CRP) concentrations >5 mg/L or α-1-acid glycoprotein (AGP) concentrations >1 g/L, 2) the application of arithmetic correction factors, and 3) the use of a regression correction approach. The impact of adjustment on the estimated prevalence of VAD (defined as <0.7 μmol/L) was examined in PSC. Results: The relation between estimated VAD and CRP and AGP deciles followed a linear pattern in PSC. In women, the correlations between RBP and CRP and AGP were too weak to justify adjustments for inflammation. Depending on the approach used to adjust for inflammation (CRP+AGP), the estimated prevalence of VAD decreased by a median of 11–18 percentage points in PSC compared with unadjusted values. There was no added effect of adjusting for malaria on the estimated VAD after adjusting for CRP and AGP. Conclusions: The use of regression correction (derived from internal data), which accounts for the severity of inflammation, to estimate the prevalence of VAD in PSC in regions with inflammation and malaria is supported by the analysis of the BRINDA data. These findings contribute to the evidence on adjusting for inflammation when estimating VAD with the use of RBP.
POL-SAR Image Classification Based on Wishart DBN and Local Spatial Information

Inspired by a popular deep neural network, i.e., deep belief network (DBN), a novel method for polarimetric synthetic aperture radar (POL-SAR) image classification is proposed in this paper. For the particularity of POL-SAR data, a new type of restricted Boltzmann machine (RBM) is specially defined, which we name the Wishart-Bernoulli RBM (WBRBM), and is used to form a deep network named as Wishart DBN (W-DBN). Numerous unlabeled POL-SAR pixels are made full use of in the modeling of POL-SAR pixels by W-DBN. In addition, the coherency matrix is used directly to represent a POL-SAR pixel without any manual feature extraction, which is simple and time saving. Local spatial information, together with the confusion matrix, is used in this paper to clean the preliminary classification result obtained by the method based on W-DBN. Making full use of the prior knowledge of POL-SAR data and local spatial information, the proposed method overcomes shortcomings of traditional methods, in which they are sensitive to extracted features and slow to execute. The experiments, tested on three POL-SAR data sets, show that the proposed method produces better results and is much faster than traditional methods.
Molecular genetic analysis of the V kappa Ser group associated with two mouse light chain genetic markers. Complementary DNA cloning and southern hybridization analysis

Previous studies (21) have shown that two mouse kappa light (L) chain variable (V) region polymorphisms, the IB-peptide and Efla markers, reflect expression of a characteristic group of V kappa regions, called V kappa Ser, by some inbred strains and not others. Expression of V kappa Ser is controlled by a locus on chromosome 6, the chromosome that contains the kappa locus. To further characterize this V kappa group and begin to analyze the basis for its strain-specific expression, full- length complementary DNA (cDNA) copies were produced of L chain mRNA from the M75 myeloma that had been induced in the C.C58 strain of mice, and which produces a V kappa Ser L chain. The C.C58 strain is congenic with BALB/cAn, differing in the region of chromosome 6 that controls expression of the V kappa polymorphisms and the Lyt-2 and Lyt-3 T cell alloantigens. The complete nucleotide sequence of this cloned cDNA was determined and compared with the nucleotide sequences the most closely related BALB/c myeloma L chains known. Results indicated significant differences throughout the variable region, but particularly toward the 5' portion of the sequence. A probe corresponding to 200 bp of the 5' end of the cloned V kappa Ser cDNA was used in Southern hybridizations of restriction digests of liver DNA from a number of inbred, recombinant, and recombinant inbred strains. Under stringent hybridization conditions, one strongly-hybridizing fragment was observed in Bam HI, Hind III, and Eco RI digests, and based on the size of the fragments, strains could be organized into two groups. The presence of strongly hybridizing Bam HI, Hind III, and Eco RI fragments of 3.2, 2.8, and 2.1 kb, respectively, was found to correlate completely with expression by the strain of the IB-peptide and Efla markers. All nonexpressor strains yielded hybridizing fragments of 7.8, 8.4, and 2.8 kb, respectively. Possible explanations for strain- specific expression of V kappa Ser-associated phenotypic markers are discussed.
of the 23 rd Annual EMBS International Conference , October 25-28 , Istanbul , Turkey Modeling Cyclic Variation of Intracranial Pressure

Absfrocr: To test the theoretical feasibility that low frequency baseline changes of the intracranial pressure (ICP) recording during mechanical ventilation are due to cyclic extravascular compressional modulation primarily of the cerebral venous bed, an established isovolumehic model of cerebrospinal fluid dynamics proposed by Ursino was modified [1,2]. These modifications were made to address the hypothesis that: 1) cyclic extravascular compressional modulation of the cerebral venous bed occurs during positive pressure inhalation; and 2) the degree of modulation is diminished with increasing vascular dilation induced by increasing the level of the partial pressure of carbon dioxide (PCO,) within the arterial blood. Modification of the isovolumetric model was accomplished by introducing a cyclic modulation of the resistance of the cerebral venous bed synchronized with ventilation. Simulated model recordings demonstrated that the Correlation index between arterial blood pressure and ICP progressively increased monotonically as the level of P C 4 increased from 30 mmHg lo 80 mmHg. The% results support the premise that during positive pressure ventilation, cyclic extravascular compressional modulation of primarily the cerebral venous bed produces a cyclic variation of ICP and the degree ofmodulation is dependent on the state ofvascular dilation.
Potentially biogenic carbon preserved in a 4.1 billion-year-old zircon

Significance Evidence for carbon cycling or biologic activity can be derived from carbon isotopes, because a high 12C/13C ratio is characteristic of biogenic carbon due to the large isotopic fractionation associated with enzymatic carbon fixation. The earliest materials measured for carbon isotopes at 3.8 Ga are isotopically light, and thus potentially biogenic. Because Earth’s known rock record extends only to ∼4 Ga, earlier periods of history are accessible only through mineral grains deposited in later sediments. We report 12C/13C of graphite preserved in 4.1-Ga zircon. Its complete encasement in crack-free, undisturbed zircon demonstrates that it is not contamination from more recent geologic processes. Its 12C-rich isotopic signature may be evidence for the origin of life on Earth by 4.1 Ga. Evidence of life on Earth is manifestly preserved in the rock record. However, the microfossil record only extends to ∼3.5 billion years (Ga), the chemofossil record arguably to ∼3.8 Ga, and the rock record to 4.0 Ga. Detrital zircons from Jack Hills, Western Australia range in age up to nearly 4.4 Ga. From a population of over 10,000 Jack Hills zircons, we identified one >3.8-Ga zircon that contains primary graphite inclusions. Here, we report carbon isotopic measurements on these inclusions in a concordant, 4.10 ± 0.01-Ga zircon. We interpret these inclusions as primary due to their enclosure in a crack-free host as shown by transmission X-ray microscopy and their crystal habit. Their δ13CPDB of −24 ± 5‰ is consistent with a biogenic origin and may be evidence that a terrestrial biosphere had emerged by 4.1 Ga, or ∼300 My earlier than has been previously proposed.
Vacuum interpolation in supergravity via super p-branes.

We show that many of the recently proposed supersymmetric [ital p]-brane solutions of [ital d]=10 and [ital d]=11 supergravity have the property that they interpolate between Minkowski spacetime and a compactified spacetime, both being supersymmetric supergravity vacua. Our results imply that the effective world-volume action for small fluctuations of the super [ital p]-brane is a supersingleton field theory for ([ital p]+2)-dimensional anti--de Sitter spacetime, as has been often conjectured in the past.
Studies of Transportation Investment to Identify the Impacts on the Local and State Economy

Relay). You may also send an e-mail to ADArequest.dot@state.mn. us. (Please request at least one week in advance). This project provides case studies of the impact of transportation investments on local economies. We use multiple approaches to measure impacts since the effects of transportation projects can vary according to the size of a project and the size of the area under study, as well as other exogenous factors such as existing economic and demographic conditions. We measure effects on economic output and employment to estimate impacts of specific investments, and address issues of generative versus redistributive effects of investments, as well as identify specific economic sectors that might be disproportionately affected by such investments. This report documents the results of research conducted by the authors and does not necessarily represent the views or policies of the Minnesota Department of Transportation or the University of Minnesota. This report does not contain a standard or specified technique. The authors, the Minnesota Department of Transportation, and the University of Minnesota do not endorse products or manufacturers. Trade or manufacturers' names appear herein solely because they are considered essential to this report. Acknowledgements The authors would like to recognize the efforts of several individuals who made important contributions to this research project. In particular, Neal Young and Oriane Casale from the Minnesota Department of Employment and Economic Development assisted in identifying the Department's data extraction tool as a source for city-level employment totals from the Quarterly Census of Employment and Wages. John Wilson and Ed Idzorek from MnDOT provided important data on project characteristics for each of the case study projects in the report. Also, members of the project's Technical Advisory Panel (TAP) provided valuable feedback on the project's findings during and after the Panel's meetings. Lastly, we would like to thank the project's Technical and Administrative Liaisons, Matt Shands and Bruce Holdhusen, for their efforts in project management and organizing, scheduling, and leading regular meetings of the TAP.