Miracle-dz/UniFAR-FTUs huggingface dataset:
Why Do Patients With Interstitial Lung Diseases Fail in the ICU? A 2-Center Cohort Study

BACKGROUND: Admitting patients with interstitial lung disease (ILD) to the ICU is controversial, due to their associated high mortality when they require invasive mechanical ventilation. We aimed to determine the risk factors for mortality in ILD patients requiring ICU support due to acute respiratory failure. METHODS: An observational cohort study was performed in 2 chest diseases teaching hospitals. We included all ILD patients with acute respiratory failure admitted between 2008 and 2010. Subject demographics, noninvasive ventilation (NIV) and invasive ventilation use, and mortality were obtained from medical records. Subjects receiving NIV were divided based on their continuous or non-continuous demand for NIV. NIV failure was defined as intubation for invasive ventilation, or death during NIV. Cox regression analysis was used to determine the hazard ratio for NIV failure. RESULTS: We enrolled 120 subjects: 71 male, median age 66 years. The types of ILD were idiopathic pulmonary fibrosis (n = 96), collagen vascular disease (n = 10), silicosis (n = 9), drug induced (n = 3), and eosinophilic pneumonia (n = 2). The median (IQR) Acute Physiology and Chronic Health Evaluation (APACHE II) score was 24 (19–31), and 75 (62.5%) subjects received NIV on ICU admission, 47 (62.7%) of whom needed continuous NIV. The NIV failure rate was 49.3% (n = 37). The mortality rates of continuous NIV, non-continuous NIV, invasive ventilation, and total ICU were 61.7% (29/47), 10.7% (3/28), 89.7% (61/68), 60% (72/120), respectively. APACHE II > 20 and continuous NIV demand indicated significant risk for NIV failure: hazard ratio 2.77 (95% CI 1.19–6.45), P < . 02, and 5.12, (1.44–18.19), P < . 01, respectively. CONCLUSIONS: Because of higher mortality, physicians should consider invasive ventilation cautiously in the ICU management of ILD patients with acute respiratory failure. NIV may be an option in less severely ill patients with APACHE II score < 20.
CD16 and CD32 Gene Polymorphisms May Contribute to Risk of Idiopathic Thrombocytopenic Purpura

Background Epidemiological studies have evaluated the associations of CD16 158F>V and CD32 131H>R gene polymorphisms with the risk of idiopathic thrombocytopenic purpura (ITP). Material/Methods Published studies on CD16 158F>V and CD32 131H>R polymorphisms with susceptibility to ITP were systematically reviewed until April 1, 2014. The Cochrane Library Database, Medline, CINAHL, EMBASE, Web of Science, and Chinese Biomedical Database (CBM) were used to search for relevant studies and then a meta-analysis was conducted by using Stata 12.0 software in order to produce consistent statistical results. Results In total, 10 clinical case-control studies with 741 ITP patients and 1092 healthy controls were enrolled for quantitative data analysis. Results of this meta-analysis suggest that CD16 158F>V polymorphism had strong correlations with the susceptibility to ITP under 5 genetic models (all P<0.05). However, no similar associations were found between CD32 131H>R polymorphism and the susceptibility to ITP (all P>0.05). Subgroup analysis by ethnicity revealed that CD16 158F>V polymorphism was associated with the increased risk of ITP among both Caucasian and non-Caucasian populations. Nevertheless, no statistically significant correlations between CD32 131H>R polymorphism and the risk of ITP were observed among Caucasians and non-Caucasians (all P>0.05). Conclusions Our findings indicate that CD16 158F>V polymorphism may contribute to the increased risk of ITP, whereas CD32 131H>R polymorphism may not be an important risk factor for ITP.
Institute for International Integration Studies the Macroeconomic Determinants of Volatility in Precious Metals Markets the Macroeconomics Determinants of Volatility in Precious Metals Markets the Macroeconomic Determinants of Volatility in Precious Metals Markets the Macroeconomic Determinants of V

Disclaimer Any opinions expressed here are those of the author(s) and not those of the IIIS. All works posted here are owned and copyrighted by the author(s). Papers may only be downloaded for personal use only. Abstract We investigate key macroeconomic factors that impact the price returns of precious metals markets. The markets investigated were gold, silver, platinum and palladium; whereas the macroeconomic factors accommodated business cycle, monetary environment and financial market sentiment factors. The key findings present limited evidence that the same macroeconomic factors jointly influence the volatility processes of the precious metal price series, although there is some evidence of volatility feedback between the precious metals. This finding lends weight to views that individual commodities are too distinct to be considered a single asset class or represented by a single index; a finding of considerable importance for portfolio managers and investors.
New Beam Tracking Technique for Millimeter Wave-band Communications

In this paper, we propose an efficient beam tracking method for mobility scenario in mmWave-band communications. When the position of the mobile changes in mobility scenario, the base-station needs to perform beam training frequently to track the time-varying channel, thereby spending significant resources for training beams. In order to reduce the training overhead, we propose a new beam training approach called "beam tracking" which exploits the continuous nature of time varying angle of departure (AoD) for beam selection. We show that transmission of only two training beams is enough to track the time-varying AoD at good accuracy. We derive the optimal selection of beam pair which minimizes Cramer-Rao Lower Bound (CRLB) for AoD estimation averaged over statistical distribution of the AoD. Our numerical results demonstrate that the proposed beam tracking scheme produces better AoD estimation than the conventional beam training protocol with less training overhead.
Absence of sodA Increases the Levels of Oxidation of Key Metabolic Determinants of Borrelia burgdorferi

Borrelia burgdorferi, the causative agent of Lyme disease, alters its gene expression in response to environmental signals unique to its tick vector or vertebrate hosts. B. burgdorferi carries one superoxide dismutase gene (sodA) capable of controlling intracellular superoxide levels. Previously, sodA was shown to be essential for infection of B. burgdorferi in the C3H/HeN model of Lyme disease. We employed two-dimensional electrophoresis (2-DE) and immunoblot analysis with antibodies specific to carbonylated proteins to identify targets that were differentially oxidized in the soluble fractions of the sodA mutant compared to its isogenic parental control strain following treatment with an endogenous superoxide generator, methyl viologen (MV, paraquat). HPLC-ESI-MS/MS analysis of oxidized proteins revealed that several proteins of the glycolytic pathway (BB0057, BB0020, BB0348) exhibited increased carbonylation in the sodA mutant treated with MV. Levels of ATP and NAD/NADH were reduced in the sodA mutant compared with the parental strain following treatment with MV and could be attributed to increased levels of oxidation of proteins of the glycolytic pathway. In addition, a chaperone, HtpG (BB0560), and outer surface protein A (OspA, BBA15) were also observed to be oxidized in the sodA mutant. Immunoblot analysis revealed reduced levels of Outer surface protein C (OspC), Decorin binding protein A (DbpA), fibronectin binding protein (BBK32), RpoS and BosR in the sodA mutant compared to the control strains. Viable sodA mutant spirochetes could not be recovered from both gp91/phox −⁄− and iNOS deficient mice while borrelial DNA was detected in multiple tissues samples from infected mice at significantly lower levels compared to the parental strain. Taken together, these observations indicate that the increased oxidation of select borrelial determinants and reduced levels of critical pathogenesis-associated lipoproteins contribute to the in vivo deficit of the sodA mutant in the mouse model of Lyme disease. This study, utilizing the sodA mutant, has provided insights into adaptive capabilities critical for survival of B. burgdorferi in its hosts.
Seasonality and interannual variability of CH4 fluxes from the eastern Amazon Basin inferred from atmospheric mole fraction profiles

The Amazon Basin is an important region for global CH4 emissions. It hosts the largest area of humid tropical forests, and around 20% of this area is seasonally flooded. In a warming climate it is possible that CH4 emissions from the Amazon will increase both as a result of increased temperatures and precipitation. To examine if there are indications of first signs of such changes we present here a 13 year (2000–2013) record of regularly measured vertical CH4 mole fraction profiles above the eastern Brazilian Amazon, sensitive to fluxes from the region upwind of Santarém (SAN), between SAN and the Atlantic coast. Using a simple mass balance approach, we find substantial CH4 emissions with an annual average flux of 52.8 ± 6.8 mg CH4 m−2 d−1 over an area of approximately 1 × 106 km2. Fluxes are highest in two periods of the year: in the beginning of the wet season and during the dry season. Using a CO:CH4 emission factor estimated from the profile data, we estimated a contribution of biomass burning of around 15% to the total flux in the dry season, indicating that biogenic emissions dominate the CH4 flux. This 13 year record shows that CH4 emissions upwind of SAN varied over the years, with highest emissions in 2008 (around 25% higher than in 2007), mainly during the wet season, representing 19% of the observed global increase in this year.
Linguistic Features Predict the Truthfulness of Short Political Statements

Checking the truth value of political statements is difficult. Fact checking computationally has therefore not been very successful. An alternative to checking the truth value of a statement is to not consider the facts that are stated, but the way the statement is expressed. Using linguistic features from seven computational linguistic algorithms, we investigated whether truth-false statements and the definitiveness with which the statement is expressed can be predicted using linguistic features. In a training set we found that both distinctiveness and truthfulness of the statement predicted linguistic variables. These variables corresponded to those mentioned in deception literature. Next, we used a new set of political statements and determined whether the same linguistic variables would be able to predict the definitiveness and truthfulness of the statement. Given the fact that the political statements are short, one-sentence statements, allowing for a large variability in linguistic variables, discriminant analyses showed that the function obtained from the training set allowed for an accurate classification of 57− 59% of the data. These findings are encouraging, for instance for first analysis on the truth value and verifiability of political statements.
A handbook for integrating discrete event simulation as an aid in conceptual design of manufacturing systems

Despite significant cost savings and the stride towards developing and implementing the virtual factory, few companies have managed to fully integrate simulation as a daily tool in their engineering processes. The objective of the paper is to explore the prerequisites for this integration, using discrete event simulation as an aid for high quality decision making in early phases (conceptual design and pre-study). The paper looks at three aspects of the prerequisites: technological, operational, and organizational and summarizes the main challenges connected to each one of the aspects. The main result presented in the paper is a proposal for a simulation handbook, to be used when integrating simulation into the engineering process. The strength of the handbook is the focus on operational and organizational issues, reflecting different roles with connection to simulation. Future work aims at validating the impact of the handbook.
Susceptibility to nontuberculous mycobacterial lung disease

The nontuberculous mycobacteria (NTM) exhibit heterogeneous pathogenicity in humans. Articles on known and potential human factors capable of producing susceptibility to NTM lung disease (NTMLD) were identified by a systematic search of the medical literature, and are reviewed in the present study. Patients with pre-existing structural lung disease are known to be at risk of NTMLD. Other susceptible groups have become recognised since the 1980s, in particular middle-aged nonsmokers without previous lung disease (a group including those with Lady Windermere syndrome) and patients with genetically determined defects of cell-mediated immunity, including abnormalities of the interleukin-12/interferon-γ axis, certain human leukocyte antigen alleles, cystic fibrosis transmembrane conductance regulator mutations, and polymorphisms of solute carrier 11A1 (or natural resistance-associated macrophage protein 1) and the vitamin D receptor. Information is also accruing about acquired systemic causes of susceptibility to NTMLD, including inhibitory antibodies directed against interferon-γ, post-menopausal waning of endogenous oestrogen levels, coeliac disease and exposure to use of dietary phyto-oestrogens. It is not known whether immunosuppressive factors, such as oral corticosteroid treatment, chronic renal failure, diabetes mellitus and other known risk factors for pulmonary tuberculosis, are also risk factors for the development of NTMLD. Caution is appropriate in managing such patients.
Using Genetic Variation to Explore the Causal Effect of Maternal Pregnancy Adiposity on Future Offspring Adiposity: A Mendelian Randomisation Study

Background It has been suggested that greater maternal adiposity during pregnancy affects lifelong risk of offspring fatness via intrauterine mechanisms. Our aim was to use Mendelian randomisation (MR) to investigate the causal effect of intrauterine exposure to greater maternal body mass index (BMI) on offspring BMI and fat mass from childhood to early adulthood. Methods and Findings We used maternal genetic variants as instrumental variables (IVs) to test the causal effect of maternal BMI in pregnancy on offspring fatness (BMI and dual-energy X-ray absorptiometry [DXA] determined fat mass index [FMI]) in a MR approach. This was investigated, with repeat measurements, from ages 7 to 18 in the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 2,521 to 3,720 for different ages). We then sought to replicate findings with results for BMI at age 6 in Generation R (n = 2,337 for replication sample; n = 6,057 for total pooled sample). In confounder-adjusted multivariable regression in ALSPAC, a 1 standard deviation (SD, equivalent of 3.7 kg/m2) increase in maternal BMI was associated with a 0.25 SD (95% CI 0.21–0.29) increase in offspring BMI at age 7, with similar results at later ages and when FMI was used as the outcome. A weighted genetic risk score was generated from 32 genetic variants robustly associated with BMI (minimum F-statistic = 45 in ALSPAC). The MR results using this genetic risk score as an IV in ALSPAC were close to the null at all ages (e.g., 0.04 SD (95% CI -0.21–0.30) at age 7 and 0.03 SD (95% CI -0.26–0.32) at age 18 per SD increase in maternal BMI), which was similar when a 97 variant generic risk score was used in ALSPAC. When findings from age 7 in ALSPAC were meta-analysed with those from age 6 in Generation R, the pooled confounder-adjusted multivariable regression association was 0.22 SD (95% CI 0.19–0.25) per SD increase in maternal BMI and the pooled MR effect (pooling the 97 variant score results from ALSPAC with the 32 variant score results from Generation R) was 0.05 SD (95%CI -0.11–0.21) per SD increase in maternal BMI (p-value for difference between the two results = 0.05). A number of sensitivity analyses exploring violation of the MR results supported our main findings. However, power was limited for some of the sensitivity tests and further studies with relevant data on maternal, offspring, and paternal genotype are required to obtain more precise (and unbiased) causal estimates. Conclusions Our findings provide little evidence to support a strong causal intrauterine effect of incrementally greater maternal BMI resulting in greater offspring adiposity.
Lack of effects between rupatadine 10 mg and placebo on actual driving performance of healthy volunteers

Rupatadine fumarate is a potent, selective, histamine H1‐receptor antagonist and PAF inhibitor with demonstrated efficacy for the relief of allergic rhinitis. Rupatadine does not easily cross the blood–brain barrier and is believed to be non‐sedating at therapeutic doses. Consequently, rupatadine should show no impairment on car driving.
Practice of Epidemiology Health Impact Assessment of Fine Particle Pollution at the Regional Level

Since the year 2000, evaluation of the impact of air pollution on people’s health has drawn the attention of the general public and has led decision-makers to develop specific health policies. In most of the health impact assessment literature, investigators have reported on longand short-term effects of air pollution. Here the authors present results of a health impact assessment of short-term effects of particulate matter 10 lm in diameter (PM10) in the Lombardy region of Italy (2003–2006). The impact was evaluated in terms of numbers of attributable deaths under several counterfactual scenarios of air pollution reduction based on World Health Organization guidelines and European Union limits. The authors found that annual average PM10 levels exceeding the World Health Organization threshold of 20 lg/m and the European Union limit of 40 lg/m were responsible for 302 and 109 attributable deaths per year, corresponding to attributable community rates of 13 and 5 deaths per 100,000 inhabitants per year, respectively. A 20% reduction in existing PM10 levels could reduce by more than 30% the burden of short-term deaths linked to ambient air pollution. Therefore, policies for air pollution reduction appear to be necessary in order to protect and improve individual and community health.
Security, Privacy and Trust Issues in Smart Environments

Recent advances in networking, handheld computing and sensor technologies have driven forward research towards the realisation of Mark Weiser’s dream of calm and ubiquitous computing (variously called pervasive computing, ambient computing, active spaces, the disappearing computer or context-aware computing). In turn, this has led to the emergence of smart environments as one significant facet of research in this domain.
Spreading the Good News: Analyzing Socially Shared Inspirational News Content

Past research indicates that people often share awe-inspiring news online. However, little is known about the content of those stories. In this study, more broadly defined “inspirational” articles shared through The New York Times website over a 6-month period were analyzed, with the goals of describing the content and identifying characteristics that might predict inspirationality and measures of retransmission. The results provided a snapshot of content found within inspirational news stories; they also revealed that self-transcendent language use predicted the inspirationality of a news story, as well as how long an article appeared on a most shared list.
Development of the Synarcual in the Elephant Sharks (Holocephali; Chondrichthyes): Implications for Vertebral Formation and Fusion

The synarcual is a structure incorporating multiple elements of two or more anterior vertebrae of the axial skeleton, forming immediately posterior to the cranium. It has been convergently acquired in the fossil group ‘Placodermi’, in Chondrichthyes (Holocephali, Batoidea), within the teleost group Syngnathiformes, and to varying degrees in a range of mammalian taxa. In addition, cervical vertebral fusion presents as an abnormal pathology in a variety of human disorders. Vertebrae develop from axially arranged somites, so that fusion could result from a failure of somite segmentation early in development, or from later heterotopic development of intervertebral bone or cartilage. Examination of early developmental stages indicates that in the Batoidea and the ‘Placodermi’, individual vertebrae developed normally and only later become incorporated into the synarcual, implying regular somite segmentation and vertebral development. Here we show that in the holocephalan Callorhinchus milii, uniform and regular vertebral segmentation also occurs, with anterior individual vertebra developing separately with subsequent fusion into a synarcual. Vertebral elements forming directly behind the synarcual continue to be incorporated into the synarcual through growth. This appears to be a common pattern through the Vertebrata. Research into human disorders, presenting as cervical fusion at birth, focuses on gene misexpression studies in humans and other mammals such as the mouse. However, in chondrichthyans, vertebral fusion represents the normal morphology, moreover, taxa such Leucoraja (Batoidea) and Callorhinchus (Holocephali) are increasingly used as laboratory animals, and the Callorhinchus genome has been sequenced and is available for study. Our observations on synarcual development in three major groups of early jawed vertebrates indicate that fusion involves heterotopic cartilage and perichondral bone/mineralised cartilage developing outside the regular skeleton. We suggest that chondrichthyans have potential as ideal extant models for identifying the genes involved in these processes, for application to human skeletal heterotopic disorders.
An Examination Of Barriers To Benefits-realisation From Enterprise Systems In The Public Service

Examination of barriers to benefits-realisation from Enterprise Systems (ES) has potential to provide an innovative perspective on strategic management of large-scale packaged software, and on the extended virtual enterprise explicitly or implicitly deployed across the ES life-cycle. Private sector experience has revealed distinctive conditions applying to ES that create barriers to benefit-realisation. For public service organisations, ES have the potential to enable the provision of end-to-end integrated services, consistent with the demands of public accountability, but are encumbered by a poor track record in large systems implementation and associated process-reengineering. This research analyses the Australian Public Service ES experience, with the aim of dismantling barriers to public sector exploitation of ES. Early results reflect conventional perceptions of implementation issues, but application of the distinctive Dephi-based methodology designed for this study is expected to yield a basis for shared action on the part of government administration, vendors and consultants.
Unsupervised Word Alignment Using Frequency Constraint in Posterior Regularized EM

Generative word alignment models, such as IBM Models, are restricted to oneto-many alignment, and cannot explicitly represent many-to-many relationships in a bilingual text. The problem is partially solved either by introducing heuristics or by agreement constraints such that two directional word alignments agree with each other. In this paper, we focus on the posterior regularization framework (Ganchev et al., 2010) that can force two directional word alignment models to agree with each other during training, and propose new constraints that can take into account the difference between function words and content words. Experimental results on French-to-English and Japanese-to-English alignment tasks show statistically significant gains over the previous posterior regularization baseline. We also observed gains in Japanese-toEnglish translation tasks, which prove the effectiveness of our methods under grammatically different language pairs.