Miracle-dz/UniFAR-FTUs huggingface dataset:
Active Cigarette Smoking in Cognitively-Normal Elders and Probable Alzheimer's Disease is Associated with Elevated Cerebrospinal Fluid Oxidative Stress Biomarkers.

Neurodegenerative diseases and chronic cigarette smoking are associated with increased cerebral oxidative stress (OxS). Elevated F2-isoprostane levels in biological fluid is a recognized marker of OxS. This study assessed the association of active cigarette smoking with F2-isoprostane in concentrations in cognitively-normal elders (CN), and those with mild cognitive impairment (MCI) and probable Alzheimer's disease (AD). Smoking and non-smoking CN (n = 83), MCI (n = 164), and probable AD (n = 101) were compared on cerebrospinal fluid (CSF) iPF2α-III and 8,12, iso-iPF2α-VI F2-isoprostane concentrations. Associations between F2-isoprostane levels and hippocampal volumes were also evaluated. In CN and AD, smokers had higher iPF2α-III concentration; overall, smoking AD showed the highest iPF2α-III concentration across groups. Smoking and non-smoking MCI did not differ on iPF2α-III concentration. No group differences were apparent on 8,12, iso-iPF2α-VI concentration, but across AD, higher 8,12, iso-iPF2α-VI level was related to smaller left and total hippocampal volumes. Results indicate that active cigarette smoking in CN and probable AD is associated with increased central nervous system OxS. Further investigation of factors mediating/moderating the absence of smoking effects on CSF F2-isoprostane levels in MCI is warranted. In AD, increasing magnitude of OxS appeared to be related to smaller hippocampal volume. This study contributes additional novel information to the mounting body of evidence that cigarette smoking is associated with adverse effects on the human central nervous system across the lifespan.
Recent research in public health surveillance and health management

While the challenges of the next pandemic outbreak are overwhelming, either from swine flu, other infectious disease, bioterrorism, timely detection of disease outbreaks is most important for public health surveillance and society safety and stability. In public health surveillance, the objective is to systematically collect, analyze, and interpret public health data (chronic or infectious diseases) in order to understand trends, to detect changes in disease incidence and death rates, and to plan, implement, and evaluate public health practice. Recently much research has been conducted to develop methods and algorithms for health surveillance and disease detection. This paper presents an overview and reviews the recent research methods on temporal and spatiotemporal surveillance. Specific research challenges and future research directions are discussed. A real life example is used to compare the performance of three currently used surveillance methods, scan, EWMA, and CUSUM.
Intersite Consistency as a Measurement of Programmatic Evaluation in a Medicine Clerkship with Multiple, Geographically Separated Sites

Purpose. This study introduces “intersite consistency” as a measurement of programmatic evaluation and demonstrates its feasibility and construct validity. Method. Student data in our multisite, geographically separated clerkship were collected prospectively over a ten-year period (1990–2000). We calculated mean scores for each clerkship measurement and analyzed these data on both a yearly and a 10-year cumulative basis. Analyses of variance (ANOVA) and linear regression were used for statistical analysis. Results. Data for 1,632 (98%) students were included in our study. During this ten-year study period, we had 22 different on-site clerkship directors at seven clerkship sites. ANOVA and linear regression of year-to-year and cumulative data did not demonstrate an effect of site on student outcomes. Conclusions. Intersite consistency can be used as one measure of programmatic evaluation for multisite clerkships.
Modelling mobile health systems: an application of augmented MDA for the extended healthcare enterprise

Mobile health systems can extend the enterprise computing system of the healthcare provider by bringing services to the patient any time and anywhere. We propose a model-driven design and development methodology for the development of the m-health components in such extended enterprise computing systems. The methodology applies a model-driven design and development approach augmented with formal validation and verification to address quality and correctness and to support model transformation. Work on modelling applications from the healthcare domain is reported. One objective of this work is to explore and elaborate the proposed methodology. At the University of Twente we are developing m-health systems based on body area networks (BANs). One specialization of the generic BAN is the health BAN, which incorporates a set of devices and associated software components to provide some set of health-related services. A patient has a personalized instance of the health BAN customized to their current set of needs. A health professional interacts with their patients' BANs via a BAN professional system. The set of deployed BANs are supported by a server. We refer to this distributed system as the BAN System. The BAN system extends the enterprise computing system of the healthcare provider. Development of such systems requires a sound software engineering approach and this is what we explore with the new methodology. The methodology is illustrated with reference to modelling activities targeted at real implementations. In the context of the awareness project BAN implementations are tested in a number of clinical settings including epilepsy management and management of chronic pain.
Low efficiency of cytologic screening for cancer in situ of the cervix in older women

Cytologic screening for cervical cancer has proven to be beneficial in many countries, although the value of this intervention in women older than 50 years remains controversial. The purpose of this study was to investigate the efficiency of detecting cancer in situ by means of a cytologic smear at different ages, with special emphasis on the benefit of screening in women above the age of 50. We analyzed 466,275 smears taken in an open cohort of 118,890 women in Sweden between 1969 and 1988. The number of cancers in situ detected per 1,000 smears, the detection ratio, was used as an outcome measure in univariate analyses and in multivariate regression models. Cancer/n situ was detected in 1,076 women in the study cohort. The detection ratio peaked at ages 30 to 34 and decreased heavily during the next 15 years of age. The efficiency of taking smears at ages above 50 was only 20 per cent (OR, 0.19; 95% Cl, 0.14–0.26) of that at ages 30 to 34. These results were not changed when adjusting for time period and time interval since the previous smear. In spite of a high incidence of invasive cervical cancer in older women, the benefit of cytologic screening to detect cancer in situ above the age of 50 is uncertain. © 1995 Wiley‐Liss, Inc.
Seroprevalence of human granulocytic ehrlichiosis in high-risk groups in Denmark.

The aim of this study was to evaluate the seroprevalence of human granulocytic ehrlichiosis (HGE) among 300 residents in the county of Funen, Denmark. All of these people had either suspected or confirmed borreliosis. Two hundred control sera were included in the study. Samples were submitted by general practitioners and by hospital departments. An indirect immunofluorescence assay was used to identify sera reactive to HGE and an enzyme-linked immunosorbent assay was used to analyse Borrelia burgdorferi antibodies. There were 63 (21%) HGE-positive sera, 53 of which came from Borrelia-seropositive patients. Among patients with negative Borrelia serology, but with clinical suspicion of borreliosis, 14.3% were HGE-positive (n = 70). Of the 200 control sera, 3.5% were HGE-positive and 10.5% were Borrelia-positive. No HGE-positive samples were found among subjects < 20 y of age, wheras 20.4% of Borrelia seropositive samples where from subjects < 20 y of age. No mortality was observed in the HGE-positive group and the percentage of serum samples positive for both Borrelia and HGE did not differ significantly between hospitalized and non-hospitalized patients. Our study indicates that HGE infection with or without concomitant or previous Borrelia burgdorferi infection is common in tick-exposed individuals > 20 y old in the county of Funen, Denmark.
Developing a Reliable and Valid Scale to Measure Psychosocial Acuity

This tool is a unique comprehensive scale and methodology to measure the psychosocial acuity of patients and families across a health care continuum. Coupled with other measures, psychosocial acuity can tell a complete and compelling story of social work contributions and aid in resource alignment. Accurately conveying the full scope of social work value to anyone, especially health system leadership, requires that the psychosocial acuity of the patient and family be measured and factored into the equation, along with productivity, time spent, and services provided. The development and utilization of the Psychosocial Acuity Tool is the focus of this publication.
Preemption-aware dynamic voltage scaling in hard real-time systems

Dynamic voltage scaling (DVS) is a well-known low-power design technique for embedded real-time systems. Because of its effectiveness on energy reduction, several variable voltage processors have been developed and many DVS algorithms targeting these processors have been proposed. However, most existing DVS algorithms focus on reducing the energy consumption of CPU only, ignoring their negative impacts on task scheduling and system wide energy consumption. In this paper, we address one of such side effects, an increase in task preemptions due to DVS. We present two preemption control techniques which can reduce the number of task preemptions of DVS algorithms. Experimental results show that the delayed-preemption technique is effective in reducing the number of preemptions incurred by DVS algorithms while achieving a high energy efficiency.
Persistent Optimizing

Mothers’ ability to provide healthy food choices for their children has become more complex in our current obesogenic environment. We conducted a total of 35 interviews with 18 mothers of preschool children. Using constructivist grounded theory methods, we developed a substantive theory of how mothers make food choices for their preschoolers. Our substantive theory, persistent optimizing, consists of three main integrated conceptual categories: (a) acknowledging contextual constraints, (b) stretching boundaries, and (c) strategic positioning. Implications to improve mothers’ ability to make healthy food choices that reduce their children’s risk of becoming overweight or obese are discussed.
The future of the Roux-en-Y gastric bypass

ABSTRACT Archaic surgical procedures such as the jejunoileal bypass, vertical banded gastroplasty and duodenal switch have contributed to the current best practice of Roux-en-Y gastric bypass (RYGB) procedure for the treatment of obesity and its consequences. Despite this, RYGB has been blighted with late occurring adverse events such as severe malnutrition, marginal ulcer and reactive hypoglycemia. Despite this, RYGB has given us an opportunity to examine the effect of surgery on gut hormones and the impact on metabolic syndrome which in turn has allowed us to carry out a lower impact but equally, if not more effective, procedure – the vertical sleeve gastrectomy (VSG). We examine the benefits of sleeve gastrectomy from the less challenging technical aspect to the effect on obesity and its metabolic syndrome long-term and have concluded that sleeve gastrectomy is possibly the next current best practice.
Statistical method for the evaluation of the lightning performance of overhead distribution lines

Lightning is a major cause of distribution line outages affecting reliability of power supply thus, consequently, resulting in economic losses. The lightning performance of overhead distribution lines is associated with line insulation flashover due to direct and nearby lightning strokes. The present paper introduces a statistical method for the estimation of the flashover rate of overhead distribution lines. The proposed method, implementing a recently introduced statistical lightning attachment model and the simplified coupling model suggested by the IEEE Std. 1410:2011, yields a range for the expected flashover rate of distribution lines associated with lightning interception probability distribution of the line conductors. It also provides the means to easily quantify the effects of line parameters, soil resistivity, shielding of nearby objects and lightning crest current distribution on lightning performance of distribution lines. Results of the statistical method, discussed and compared with that obtained by the IEEE Std. 1410:2011, are in close consistency with field data.
From Local to Global: Edge Profiles to Camera Motion in Blurred Images

In this work, we investigate the relation between the edge profiles present in a motion blurred image and the underlying camera motion responsible for causing the motion blur. While related works on camera motion estimation (CME) rely on the strong assumption of space-invariant blur, we handle the challenging case of general camera motion. We first show how edge profiles alone can be harnessed to perform direct CME from a single observation. While it is routine for conventional methods to jointly estimate the latent image too through alternating minimization, our above scheme is best-suited when such a pursuit is either impractical or inefficacious. For applications that actually favor an alternating minimization strategy, the edge profiles can serve as a valuable cue. We incorporate a suitably derived constraint from edge profiles into an existing blind deblurring framework and demonstrate improved restoration performance. Experiments reveal that this approach yields state-of-the-art results for the blind deblurring problem.
A Cluster of Genes Encodes the Two Types of Chalcone Isomerase Involved in the Biosynthesis of General Flavonoids and Legume-Specific 5-Deoxy(iso)flavonoids in Lotus japonicus 1

Leguminous plants produce 5-deoxyflavonoids and 5-deoxyisoflavonoids that play essential roles in legume-microbe interactions. Together with chalcone polyketide reductase and cytochrome P450 2-hydroxyisoflavanone synthase, the chalcone isomerase (CHI) of leguminous plants is fundamental in the construction of these ecophysiologically active flavonoids. Although CHIs of nonleguminous plants isomerize only 6′-hydroxychalcone to 5-hydroxyflavanone (CHIs with this function are referred to as type I), leguminous CHIs convert both 6′-deoxychalcone and 6′-hydroxychalcone to 5-deoxyflavanone and 5-hydroxyflavanone, respectively (referred to as type II). In this study, we isolated multiple CHI cDNAs (cCHI1–cCHI3) from a model legume,Lotus japonicus. In contrast to previous observations, the amino acid sequence of CHI2 was highly homologous to nonleguminous CHIs, whereas CHI1 and CHI3 were the conventional leguminous type. Furthermore, genome sequence analysis revealed that fourCHI genes (CHI1–3 and a putative gene, CHI4) form a tandem cluster within 15 kb. Biochemical analysis with recombinant CHIs expressed inEscherichia coli confirmed that CHI1 and CHI3 are type II CHIs and that CHI2 is a type I CHI. The occurrence of both types of CHIs is probably common in leguminous plants, and it was suggested that type II CHIs evolved from an ancestral CHI by gene duplication and began to produce 5-deoxy(iso)flavonoids along with the establishment of the Fabaceae.
What's hot in software engineering Twitter space?

Twitter is a popular means to disseminate information and currently more than 300 million people are using it actively. Software engineers are no exception; Singer et al. have shown that many developers use Twitter to stay current with recent technological trends. At various time points, many users are posting microblogs (i.e., tweets) about the same topic in Twitter. We refer to this reasonably large set of topically-coherent microblogs in the Twitter space made at a particular point in time as an event. In this work, we perform an exploratory study on software engineering related events in Twitter. We collect a large set of Twitter messages over a period of 8 months that are made by 79,768 Twitter users and filter them by five programming language keywords. We then run a state-of-the-art Twitter event detection algorithm borrowed from the Natural Language Processing (NLP) domain. Next, using the open coding procedure, we manually analyze 1,000 events that are identified by the NLP tool, and create eleven categories of events (10 main categories + “others”). We find that external resource sharing, technical discussion, and software product updates are the “hottest” categories. These findings shed light on hot topics in Twitter that are interesting to many people and they provide guidance to future Twitter analytics studies that develop automated solutions to help users find fresh, relevant, and interesting pieces of information from Twitter stream to keep developers up-to-date with recent trends.
High-performance computer system architectures for embedded computing

Research Laboratory for providing his graph scheduling simulator. This dissertation is dedicated to my family. They have been extremely supportive of me throughout my life. I would like to express my deepest gratitude to my wife, Minji Kim and my daughter, Evelyn Jiahn Lee. Finally I would like to appreciate my parents for their endless supports and love. Without their supports, I would not be the person I am today.
Examining the Relationship between Students' Mathematics Test Scores and Computer Use at Home and at School.

Over the past decade, standardized test results have become the primary tool used to judge the effectiveness of schools and educational programs, and today, standardized testing serves as the keystone for educational policy at the state and federal levels. This paper examines the relationship between fourth grade mathematics achievement and technology use at home and at school. Using item level achievement data, individual student’s state test scores on the Massachusetts Comprehensive Assessment System (MCAS), and student and teacher responses to detailed technology-use surveys, this study examines the relationship between technology-use and mathematics performance among 986 regular students, from 55 intact fourth grade classrooms in 25 schools across 9 school districts in Massachusetts. The findings from this study suggest that various uses of technology are differentially related to student outcomes and that in general, student and teacher technology uses are weakly related to mathematics achievement on the MCAS. Implications for improving methods for examining the relationship between technology use and standardized test scores are presented.
Performance of various commercial assays for the detection of Toscana virus antibodies.

INTRODUCTION Sandfly fever virus (SFV) serotypes sandfly fever Naples virus, sandfly fever Sicilian virus, and sandfly fever Cyprus virus cause febrile diseases, whereas Toscana virus (TOSV) is responsible for aseptic meningoencephalitis. Diagnosis and surveillance of TOSV depend heavily on virus serology, and various commercial assays utilizing various antigen sources and formats have been available. The aim of this study was to perform comparative evaluation of commercially available serological assays for anti-TOSV immunoglobulins. MATERIALS AND METHODS A collection of 120 sera from healthy blood donors from an endemic region, previously identified to be reactive for antibodies against various SFV serotypes by indirect immunofluorescence test (IIFT), was reevaluated for IgG/IgM via IIFT, enzyme-linked immunosorbent assay, and an immunoblot assay manufactured by Euroimmun, Diesse, and Mikrogen, respectively. Virus neutralization test (VNT) was performed for 99 sera using standard TOSV, sandfly fever Sicilian virus, and sandfly fever Naples virus strains. RESULTS A total of 89 samples (74.2%) were reactive for TOSV IgG in at least one of the commercial assays, and 31 samples (31.3%) were reactive in VNT for various SFV serotypes. Average percentage agreements among commercial assays and between VNT and the commercial assays were noted as 57.8% and 62.6%, respectively. No significant correlation between assay results and VNT titers was observed. SFV IgM antibodies were detected in a total of eight samples (6.7%) via IIFT, which were nonreactive in enzyme-linked immunosorbent assay and VNT. DISCUSSION Commercial diagnostic immunoassays displayed slight to fair agreement for TOSV IgG as assessed via kappa and percentage agreement values. The results could only be confirmed via virus neutralization in a portion of the samples, and overall agreement between the commercial assays and VNT was slight. Commercial assays such as immunoblot can be used in addition to VNT for confirmation of TOSV exposure.
A Multifractal Wavelet Model with Application to Network Traffic

We develop a new multiscale modeling framework for characterizing positive-valued data with long-range-dependent correlations (1/f noise). Using the Haar wavelet transform and a special multiplicative structure on the wavelet and scaling coefficients to ensure positive results, the model provides a rapid O(N) cascade algorithm for synthesizing N-point data sets. We study both the second-order and multifractal properties of the model, the latter after a tutorial overview of multifractal analysis. We derive a scheme for matching the model to real data observations and, to demonstrate its effectiveness, apply the model to network traffic synthesis. The flexibility and accuracy of the model and fitting procedure result in a close fit to the real data statistics (variance-time plots and moment scaling) and queuing behavior. Although for illustrative purposes we focus on applications in network traffic modeling, the multifractal wavelet model could be useful in a number of other areas involving positive data, including image processing, finance, and geophysics.
The TT Genotype of the STAT4 rs7574865 Polymorphism Is Associated with High Disease Activity and Disability in Patients with Early Arthritis

Background The number of copies of the HLA-DRB1 shared epitope, and the minor alleles of the STAT4 rs7574865 and the PTPN22 rs2476601 polymorphisms have all been linked with an increased risk of developing rheumatoid arthritis. In the present study, we investigated the effects of these genetic variants on disease activity and disability in patients with early arthritis. Methodology and Results We studied 640 patients with early arthritis (76% women; median age, 52 years), recording disease-related variables every 6 months during a 2-year follow-up. HLA-DRB1 alleles were determined by PCR-SSO, while rs7574865 and rs2476601 were genotyped with the Taqman 5′ allelic discrimination assay. Multivariate analysis was performed using generalized estimating equations for repeated measures. After adjusting for confounding variables such as gender, age and ACPA, the TT genotype of rs7574865 in STAT4 was associated with increased disease activity (DAS28) as compared with the GG genotype (β coefficient [95% confidence interval] = 0.42 [0.01–0.83], p = 0.044). Conversely, the presence of the T allele of rs2476601 in PTPN22 was associated with diminished disease activity during follow-up in a dose-dependent manner (CT genotype = −0.27 [−0.56– −0.01], p = 0.042; TT genotype = −0.68 [−1.64– −0.27], p = 0.162). After adjustment for gender, age and disease activity, homozygosity for the T allele of rs7574865 in STAT4 was associated with greater disability as compared with the GG genotype. Conclusions Our data suggest that patients with early arthritis who are homozygous for the T allele of rs7574865 in STAT4 may develop a more severe form of the disease with increased disease activity and disability.