973 research outputs found
Disturbance caused by aircraft noise
Noise pollution caused by the presence of airfields adjacent to residential areas is studied. Noise effects on the sleep of residents near airports and the degree of the residents noise tolerance are evaluated. What aircraft noises are annoying and to what extent the annoyance varies with sound level are discussed
High-Sensitivity Magnetic Sensors Based on GMI Microwire-SAW IDT Design
This work presents a design approach for a highly sensitive, miniaturized magnetic sensor. The design makes use of GMI microwires and a multi-electrode SAW IDT. The use of SAW IDTs allows for the magnetic effect of the GMI microwire to be measured through the transduction process. This approach permits simultaneous measurement at different frequencies of operation, enabling highly sensitive measurement over a wide range of magnetic fields. This technique may find application in magnetic sensing for non-invasive battery SOC measurement
La pêche palangrière asiatique dans la Z.E.E. de Polynésie Française : analyse des données disponibles pour la période 1984-1992
A Tight Connection Between Direct and Indirect Detection of Dark Matter through Higgs Portal Couplings to a Hidden Sector
We present a hidden Abelian extension of the Standard Model including a
complex scalar as a dark matter candidate and a light scalar acting as a long
range force carrier between dark matter particles. The Sommerfeld enhanced
annihilation cross-section of the dark matter explains the observed cosmic ray
excesses. The light scalar field also gives rise to potentially large
cross-sections of dark matter on nucleon, therefore providing an interesting
way to probe this model simultaneously at direct and indirect dark matter
search experiments. We constrain the parameter-space of the model by taking
into account CDMS-II exclusion limit as well as PAMELA and FermiLAT data.Comment: 15 pages, 7 figures. Added discussions on tuning and inverse Compton
scattering constraints. References added and updated. Matches the published
versio
Effects of Dairy Consumption on Body Composition and Bone Properties in Youth: A Systematic Review
Background: According to previous reviews, there is no clear evidence on the effects of dairy
consumption on body composition and bone properties in pediatric populations. There is a need
for further assessment of existing findings and the methodologic quality of studies before
summarizing the evidence.
Objective: The aim of the study was to assess the quality, methodologies, and substantive
findings of randomized controlled trials (RCTs) that examined the effects of dairy consumption
on body size, body composition, and bone properties in children and adolescents.
Methods: After searching PubMed and Google Scholar up to December 2016, 15 RCTs were
retained and included in this systematic review for further analysis. The quality of the included
studies was assessed via the Jadad scale; detailed methodologic and statistical characteristics
were evaluated, and the main findings were summarized.
Results: The effects of dairy consumption were found to be significant for bone structure and
nonsignificant for body size and composition. Eight of the 11 RCTs that assessed bone found
significant effects (P , 0.05) for bone mineral content and bone mineral density (BMD), with an
average 8% increase in BMD after 16 mo of dairy consumption. Conversely, significant effects
(P , 0.05) were found only in 2 of the 14 RCTs that focused on body size (i.e., height and weight)
and in only 1 of the 11 RCTs that focused on body composition (i.e., lean mass).
Conclusions: The systematic consumption of dairy products may benefit bone structure and
development, but it does not appear to affect body composition or body size in children and
adolescents. On the basis of the Jadad scale, the methodologic quality of the 15 RCTs was rated
as good overall. However, there were methodologic disparities and limitations that may have led
to nonsignificant results, particularly for body size and composition. Future RCTs designed to
address these limitations are warranted.Brock University Library Open Access Publishing Fun
Universal optical amplification without nonlinearity
We propose and experimentally realize a new scheme for universal
phase-insensitive optical amplification. The presented scheme relies only on
linear optics and homodyne detection, thus circumventing the need for nonlinear
interaction between a pump field and the signal field. The amplifier
demonstrates near optimal quantum noise limited performance for a wide range of
amplification factors.Comment: 5 pages, 4 figure
Biomarkers of browning of white adipose tissue and their regulation during exercise- and diet-induced weight loss
Background: A hypothesis exists whereby an exercise- or dietary-induced negative energy balance reduces human subcutaneous white adipose tissue (scWAT) mass through the formation of brown-like adipocyte (brite) cells. However, the validity of biomarkers of brite formation has not been robustly evaluated in humans, and clinical data that link brite formation and weight loss are sparse. Objectives: We used rosiglitazone and primary adipocytes to stringently evaluate a set of biomarkers for brite formation and determined whether the expression of biomarker genes in scWAT could explain the change in body composition in response to exercise training combined with calorie restriction in obese and overweight women (n = 79). Design: Gene expression was derived from exon DNA microarrays and preadipocytes from obesity-resistant and -sensitive mice treated with rosiglitazone to generate candidate brite biomarkers from a microarray. These biomarkers were evaluated against data derived from scWAT RNA from obese and overweight women before and after supervised exercise 5 d/wk for 16 wk combined with modest calorie restriction (∼0.84 MJ/d). Results: Forty percent of commonly used brite gene biomarkers exhibited an exon or strain-specific regulation. No biomarkers were positively related to weight loss in human scWAT. Greater weight loss was significantly associated with less uncoupling protein 1 expression (P = 0.006, R(2) = 0.09). In a follow-up global analysis, there were 161 genes that covaried with weight loss that were linked to greater CCAAT/enhancer binding protein α activity (z = 2.0, P = 6.6 × 10(−7)), liver X receptor α/β agonism (z = 2.1, P = 2.8 × 10(−7)), and inhibition of leptin-like signaling (z = −2.6, P = 3.9 × 10(−5)). Conclusion: We identify a subset of robust RNA biomarkers for brite formation and show that calorie-restriction–mediated weight loss in women dynamically remodels scWAT to take on a more-white rather than a more-brown adipocyte phenotype
Job and Career Opportunities in the Pharmaceutical Sector
The pharmaceutical field offers a wealth of job and career opportunities for talented young graduates with a sound background in life sciences and various other academic disciplines. Because these employment options are often insufficiently known to young academics, the aim of this chapter is to give them a better idea about the many job opportunities and presents the entire drug life cycle. The first part of the chapter includes a general description of the drug life cycle and what is understood by ‘the pharmaceutical sector’. The core of the chapter gives an overview of job opportunities that either are specific to the different parts of the drug life cycle or are important as support functions over the entire life cycle. It also includes a section on career perspectives and training opportunities. The last part of the chapter focuses on important employability elements, as well as some practical do’s and don’ts for effective job application
If you don’t take it – it can’t work: the consequences of not being treated or nonadherence to osteoporosis therapy
Osteoporosis is a growing problem worldwide, linked to an increasingly aging population. Despite the availability of a wide variety of treatments for osteoporosis, a significant number of patients are either not being prescribed treatment or discontinue therapy as early as 6 months after initiation. The reasons for a lack of adherence are many but poor adherence increases the risk of fracture and, therefore, the disease burden to the patient and society. Results from large-scale, randomized clinical studies have shown that different osteoporosis treatments are efficacious in reducing the risk of fracture. Studies assessing the effects of discontinuing osteoporosis therapies show that some treatments appear to continue to protect patients from the risk of future fracture even when treatment is stopped. However, these trials involve patients who have been compliant with treatment for between 2 and 5 years, a situation not reflective of real-world clinical practice. In reality, patients who discontinue therapy within the first 6 months may never achieve the optimum protection from fracture regardless of which treatment they have been prescribed. Clinicians need to develop management strategies to enable patients to adhere to their treatment. This will ultimately result in better prevention of fracture and a lower burden of disease to society and patients
EczemaPred: a computational framework for personalised prediction of eczema severity dynamics
Background: Atopic dermatitis (AD) is a chronic inflammatory skin disease leading to substantial quality of life impairment with heterogeneous treatment responses. People with AD would benefit from personalised treatment strategies, whose design requires predicting how AD severity evolves for each individual. Objective: This study aims to develop a computational framework for personalised prediction of AD severity dynamics. Methods: We introduced EczemaPred, a computational framework to predict patient-dependent dynamic evolution of AD severity using Bayesian state-space models that describe latent dynamics of AD severity items and how they are measured. We used EczemaPred to predict the dynamic evolution of validated patient-oriented scoring atopic dermatitis (PO-SCORAD) by combining predictions from the models for the nine severity items of PO-SCORAD (six intensity signs, extent of eczema, and two subjective symptoms). We validated this approach using longitudinal data from two independent studies: a published clinical study in which PO-SCORAD was measured twice weekly for 347 AD patients over 17 weeks, and another one in which PO-SCORAD was recorded daily by 16 AD patients for 12 weeks. Results: EczemaPred achieved good performance for personalised predictions of PO-SCORAD and its severity items daily to weekly. EczemaPred outperformed standard time-series forecasting models such as a mixed effect autoregressive model. The uncertainty in predicting PO-SCORAD was mainly attributed to that in predicting intensity signs (75% of the overall uncertainty). Conclusions: EczemaPred serves as a computational framework to make a personalised prediction of AD severity dynamics relevant to clinical practice. EczemaPred is available as an R package
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