Dear Mother, I\u27ll Come Home Again

1. Oh! mother dear I sigh in vain, To live my childhood o\u27er again ... And see thy clear, love beaming eye ... Outshine the stars up in the sky, Oh mother dear bright sunny rays, That give such joy and heav\u27nly bliss, As by thy knee I used to pray, Or climb\u27d to steal affection\u27s kiss. CHORUS: Oh mother dear I sigh in vain To live my childhood o\u27er again, And see thy clear love beaming eye, Outshine the stars up in the sky. Oh! mother dear, Oh! my mother dear. 2. Oh! mother dear, those early scenes, The flow\u27ry fields, and meadows green, As thoughts come back I heave a sigh, And wish for happy days gone by; Long since I left my native shore, But now my heart beats just as then, Tho\u27 miles of sea between us roar, Dear mother I\u27ll come again

Digital Droplet PCR for Influenza Vaccine Development

AbstractDevelopment of influenza vaccine processes requires virus quantification to optimize conditions in cell culture or in the associated downstream purification steps. Modern methods include qPCR, which utilizes TaqMan chemistry to detect and quantify viral RNA by comparison of a RNA standard of known concentration. Digital droplet PCR (ddPCR) is similar to qPCR in that it shares the same chemistry for nucleic acid detection. However, in ddPCR, the sample is diluted into partitions (‘droplets’) in order to separate and isolate single molecules. Upon PCR amplification, the droplet's fluorescent intensity depends on the presence or absence of the target; as such, positive and negative droplets are identified, which allows for absolute quantification of the viral genomes. The digital approach has enabled several key advantages. First, a standard is no longer required. Second, efficiency of the reverse transcription and the kinetics of the amplification, principles in qPCR, have no impact on the final digital PCR quantification. For this reason, the extracted RNA does not need to be purified from the reagents needed to lyse the virus. Also, viral associated RNA released by infected cells can be measured directly, further improving the quality of the data generated. Additional improvements to the approach include duplexing with a second assay that measures host cell DNA concentration. The method has been successfully implemented with automation in support of multiple upstream and downstream process development efforts for influenza vaccine manufacturing

Evidence for a supermassive object in the nucleus of the galaxy M87 from SIT and CCD area photometry

Two-dimensional SIT and CCD detectors have been used to measure the surface brightness of the peculiar elliptical radio galaxy M87. Measurements were made in three broad-band colors (B, V, and R) to a distance of 80" from the nucleus, with 1" spatial resolution and photometric accuracy of the order of 1%. The data are given in some detail and are compared with earlier photographic results. The most obvious feature of the data is a bright, barely resolved central luminosity spike, which is not seen in similar data on other nearby normal ellipticals. Also, attempts to fit isothermal or King models away from the nuclear spike show additional excess luminosity in the central regions of the galaxy (r 60. All of the existing data is well fitted by a King model containing a central black hole of mass M = 3 x 10^9 M_⊙ and a point luminosity source. While such a model is not uniquely required by the data, it is perhaps the most plausible of several possible models considered. At present, M87 is probably the best case for a hypothetical massive black hole in a galaxy nucleus

Development of the ATAQ-IPF: a tool to assess quality of life in IPF

<p>Abstract</p> <p>Background</p> <p>There is no disease-specific instrument to assess health-related quality of life (HRQL) in patients with idiopathic pulmonary fibrosis (IPF).</p> <p>Methods</p> <p>Patients' perspectives were collected to develop domains and items for an IPF-specific HRQL instrument. We used item variance and Rasch analysis to construct the ATAQ-IPF (A Tool to Assess Quality of life in IPF).</p> <p>Results</p> <p>The ATAQ-IPF version 1 is composed of 74 items comprising 13 domains. All items fit the Rasch model. Domains and the total instrument possess acceptable psychometric characteristics for a multidimensional questionnaire. The pattern of correlations between ATAQ-IPF scores and physiologic variables known to be important in IPF, along with significant differences in ATAQ-IPF scores between subjects using versus those not using supplemental oxygen, support its validity.</p> <p>Conclusions</p> <p>Patient-centered and careful statistical methodologies were used to construct the ATAQ-IPF version 1, an IPF-specific HRQL instrument. Simple summation scoring is used to derive individual domain scores as well as a total score. Results support the validity of the ATAQ-IPF, and future studies will build on that validity.</p

Further Studies on Vibration Compaction of Cohesive Soils

The investigations described in this report are a continuation of previous work designed to determine the basic laws governing the compaction of cohesive soil by vibration. A report dated December, 1954, described the results of tests on sandy loam, while this report describes similar tests on a much more cohesive soil

Simultaneous control of spectroscopic and electrochemical properties in functionalised electrochemiluminescent tris(2,2\u27-bipyridine)ruthenium(II) complexes

Using a combination of electrochemical, spectroscopic and computational techniques, we have explored the fundamental properties of a series of ruthenium diimine complexes designed for coupling with other molecules or surfaces for electrochemiluminescence (ECL) sensing applications. With appropriate choice of ligand functionality, it is possible to manipulate emission wavelengths while keeping the redox ability of the complex relatively constant. DFT calculations show that in the case of electron withdrawing substituents such as ester or amide, the excited state is located on the substituted bipyridine ligand whereas in the case of alkyl functionality it is localised on a bipyridine. The factors that dictate annihilation ECL efficiency are interrelated. For example, the same factors that determine &Delta;G for the annihilation reaction (i.e. the relative energies of the HOMO and LUMO) have a corresponding effect on the energy of the excited state product. As a result, most of the complexes populate the excited state with an efficiency (&Phi;ex) of close to 80% despite the relatively wide range of emission maxima. The quantum yield of emission (&Phi;p) and the possibility of competing side reactions are found to be the main determinants of ECL intensity

Contribution of routine brain MRI to the differential diagnosis of parkinsonism: a 3-year prospective follow-up study

Various signs on routine brain MRI can help differentiate between Parkinson’s disease (PD) and the various forms of atypical parkinsonism (AP). Here, we evaluate what routine brain MRI contributes to the clinical diagnosis, in both early and advanced disease stages. We performed a prospective observational study in 113 patients with parkinsonism, but without definite diagnosis upon inclusion. At baseline, patients received a structured interview, comprehensive and standardized neurological assessment, and brain MRI. The silver standard diagnosis was made after 3 years of follow-up (PD n = 43, AP n = 57), which was based on disease progression, repeat standardized neurological examination and response to treatment. The clinical diagnosis was classified as having either ‘low certainty’ (lower than 80%) or ‘high certainty’ (80% or higher). The added diagnostic yield of baseline MRI results were then studied relative to clinical neurological evaluation at presentation, and at follow-up. Sensitivity and specificity for separating AP from PD were calculated for all potentially distinguishing MRI abnormalities described previously in the literature. MRI abnormalities showed moderate to high specificity but limited sensitivity for the diagnosis of AP. These MRI abnormalities contributed little over and above the clinically based diagnosis, except when the clinical diagnosis was uncertain. For these patients, presence of putaminal or cerebellar atrophy was particularly indicative of AP. Routine brain MRI has limited added value for differentiating between PD and AP when clinical certainty is already high, but has some diagnostic value when the clinical diagnosis is still uncertain

Subclinical Myocardial Necrosis and Cardiovascular Risk in Stable Patients Undergoing Elective Cardiac Evaluation

Objective— The presence of subclinical myocardial necrosis as a prodrome to longer-term adverse cardiac event risk has been debated. The debate has focused predominantly within patients with acute coronary syndrome, and on issues of troponin assay variability and accuracy of detection, rather than on the clinical significance of the presence of subclinical myocardial necrosis (ie, “troponin leak”) within stable cardiac patients. Herein, we examine the relationship between different degrees of subclinical myocardial necrosis and long-term adverse clinical outcomes within a stable cardiac patient population with essentially normal renal function. Methods and Results— Sequential consenting patients (N=3828; median creatinine clearance, 100 mL/min/1.73m2) undergoing elective diagnostic coronary angiography with cardiac troponin I (cTnI) levels below the diagnostic cut-off for defining myocardial infarction (\u3c0.03 ng/mL) were evaluated. The relationship of subclinical myocardial necrosis with incident major adverse cardiovascular events (defined as any death, myocardial infarction, or stroke) over 3-year follow-up was examined. “Probable” (cTnI 0.001–0.008 ng/mL) and “definite” (cTnI 0.009–0.029 ng/mL) subclinical myocardial necrosis were observed frequently within the cohort (34% and 18%, respectively). A linear relationship was observed between the magnitude of subclinical myocardial necrosis and risk of 3-year incident major adverse cardiovascular events, particularly in those with cTnI 0.009 ng/mL or higher (hazard ratio, 3.00; 95% confidence interval, 2.4–3.8), even after adjustment for traditional risk factors, C-reactive protein, and creatinine clearance. The presence of subclinical myocardial necrosis was associated with elevations in acute phase proteins (C-reactive protein, ceruloplasmin; P\u3c0.01 each) and reduction in systemic antioxidant enzyme activities (arylesterase; P\u3c0.01) but showed no significant associations with multiple specific measures of oxidant stress, and showed borderline associations with myeloperoxidase, a marker of leukocyte activation. Conclusion— In stable cardiology patients, prodromal subclinical myocardial necrosis is associated with substantially higher long-term risk for major adverse cardiovascular events. The underlying mechanisms contributing to this minimal troponin leak phenomenon warrants further investigation

Subclinical Myocardial Necrosis and Cardiovascular Risk in Stable Patients Undergoing Elective Cardiac Evaluation

Objective— The presence of subclinical myocardial necrosis as a prodrome to longer-term adverse cardiac event risk has been debated. The debate has focused predominantly within patients with acute coronary syndrome, and on issues of troponin assay variability and accuracy of detection, rather than on the clinical significance of the presence of subclinical myocardial necrosis (ie, “troponin leak”) within stable cardiac patients. Herein, we examine the relationship between different degrees of subclinical myocardial necrosis and long-term adverse clinical outcomes within a stable cardiac patient population with essentially normal renal function. Methods and Results— Sequential consenting patients (N=3828; median creatinine clearance, 100 mL/min/1.73m2) undergoing elective diagnostic coronary angiography with cardiac troponin I (cTnI) levels below the diagnostic cut-off for defining myocardial infarction (\u3c0.03 ng/mL) were evaluated. The relationship of subclinical myocardial necrosis with incident major adverse cardiovascular events (defined as any death, myocardial infarction, or stroke) over 3-year follow-up was examined. “Probable” (cTnI 0.001–0.008 ng/mL) and “definite” (cTnI 0.009–0.029 ng/mL) subclinical myocardial necrosis were observed frequently within the cohort (34% and 18%, respectively). A linear relationship was observed between the magnitude of subclinical myocardial necrosis and risk of 3-year incident major adverse cardiovascular events, particularly in those with cTnI 0.009 ng/mL or higher (hazard ratio, 3.00; 95% confidence interval, 2.4–3.8), even after adjustment for traditional risk factors, C-reactive protein, and creatinine clearance. The presence of subclinical myocardial necrosis was associated with elevations in acute phase proteins (C-reactive protein, ceruloplasmin; P\u3c0.01 each) and reduction in systemic antioxidant enzyme activities (arylesterase; P\u3c0.01) but showed no significant associations with multiple specific measures of oxidant stress, and showed borderline associations with myeloperoxidase, a marker of leukocyte activation. Conclusion— In stable cardiology patients, prodromal subclinical myocardial necrosis is associated with substantially higher long-term risk for major adverse cardiovascular events. The underlying mechanisms contributing to this minimal troponin leak phenomenon warrants further investigation

Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation

We propose MisMatch, a novel consistency-driven semi-supervised segmentation framework which produces predictions that are invariant to learnt feature perturbations. MisMatch consists of an encoder and a two-head decoders. One decoder learns positive attention to the foreground regions of interest (RoI) on unlabelled images thereby generating dilated features. The other decoder learns negative attention to the foreground on the same unlabelled images thereby generating eroded features. We then apply a consistency regularisation on the paired predictions. MisMatch outperforms state-of-the-art semi-supervised methods on a CT-based pulmonary vessel segmentation task and a MRI-based brain tumour segmentation task. In addition, we show that the effectiveness of MisMatch comes from better model calibration than its supervised learning counterpart