3,536 research outputs found
SAT-158 Offspring Exposed to Maternal High Fat Diet Exhibits Systemic Inflammation and Pancreatic Islet Dysfunction
Offspring born to overweight mothers are more likely to develop dysregulated immune response1, obesity1 and pancreatic islet dysfunction2. These offspring have increased inflammation at birth3 and at least until childhood4. We hypothesize that heightened inflammation in offspring of overweight mothers increases offspring risks of pancreatic islet dysfunction. We induced maternal overweight by providing 45% high fat diet (HFD) to female mice 2 - 4 weeks before pregnancy until weaning. When compared to controls, P21 weanlings of HFD mothers had impaired glucose tolerance in dose and gender dependent manner [GTT AUC: male 2-week HFD* 30 ± 6% higher; male 4-week HFD* 37± 3% higher: 9-11/group; female 2-week HFD 13 ± 5% higher; female 4-week HFD* 22 ± 3% higher: 3-9/group, *p<0.05 compared to controls]. Glucose intolerance persisted in 8-week-old male from 2-week HFD mothers (p<0.05, n=6-9/group), with decreased pancreatic islets glucose induced calcium response measured using Fura-2AM calcium imaging (F1/F0 Con:2.00 ± 0.06, HFD2W: 1.69±0.12*, HFD4w: 0.71±0.09*, n =3/group). Cytokines production in the serum, macrophage response and metabolic phenotypes of offspring were assessed on postnatal day 21 (P21) and at 8 weeks old. Compared to control pups, weanling of HFD mothers had elevated serum/plasma IL-1b level along with increased polarization of M1 macrophages and decreased M2 macrophages, as well as an increase of IL-1b secretion in LPS-stimulated macrophages. At 8 weeks of age, HFD male offspring had increased activation markers of splenic dendritic cells indicating a development of systemic inflammatory response early in life. Taken together, our findings suggest that mice offspring from HFD mothers have pancreatic dysfunction, and an inflammatory response. This work is funded by the Riley Children’s Foundation. 1. Kelishadi, R., Roufarshbaf, M., Soheili, S., Payghambarzadeh, F. & Masjedi, M. Association of Childhood Obesity and the Immune System: A Systematic Review of Reviews. Child. Obes. Print 13, 332-346 (2017). 2. Graus-Nunes, F. et al. Pregestational maternal obesity impairs endocrine pancreas in male F1 and F2 progeny. Nutrition 31, 380-387 (2015). 3. Dosch, N. C. et al. Maternal Obesity Affects Inflammatory and Iron Indices in Umbilical Cord Blood. J. Pediatr. 172, 20-28 (2016). 4. Leibowitz, K. L. et al. Maternal obesity associated with inflammation in their children. World J. Pediatr. WJP 8, 76-79 (2012)
Free Form Lensing Implications for the Collision of Dark Matter and Gas in the Frontier Fields Cluster MACSJ0416.1-2403
We present a free form mass reconstruction of the massive lensing cluster
MACSJ0416.1-2403 using the latest Hubble Frontier Fields data. Our model
independent method finds that the extended lensing pattern is generated by two
elongated, closely projected clusters of similar mass. Our lens model
identifies new lensed images with which we improve the accuracy of the dark
matter distribution. We find that the bimodal mass distribution is nearly
coincident with the bimodal X-ray emission, but with the two dark matter peaks
lying closer together than the centroids of the X-ray emisison. We show this
can be achieved if the collision has occurred close to the plane and such that
the cores are deflected around each other. The projected mass profiles of both
clusters are well constrained because of the many interior lensed images,
leading to surprisingly flat mass profiles of both components in the region
15-100 kpc. We discuss the extent to which this may be generated by tidal
forces in our dynamical model which are large during an encounter of this type
as the cores "graze" each other. The relative velocity between the two cores is
estimated to be about 1200 km/s and mostly along the line of sight so that our
model is consistent with the relative redshift difference between the two cD
galaxies (dz = 0.04).Comment: 22 pages, 18 figures, 2 table
Measuring the level of lean readiness of the Hong Kong's manufacturing industry
Increasingly competitive business environments have forced manufacturing organisations to continuously seek improvements in their production processes as an alternative to achieve operational excellence. Lean manufacturing principles and techniques based on the elimination waste have been widely used by manufacturing organisations around the world to drive such improvements. The purpose of this paper is to present an empirical study that evaluates the readiness level of the Hong Kong’s manufacturing industry to provide a foundation for the successful implementation and/or sustainment of lean practices. To conduct this study, the paper adapts an assessment framework developed by Al-Najem et al. [16]. Thus, the lean readiness assessment is based on six quality practices (i.e. planning & control; processes; human resources; customer relations; supplier relations; and top management & leadership) related to lean manufacturing. One research question and three hypotheses were formulated and tested using a combination of inferential statics (i.e. Levene’s test and t-test) and descriptive statistics. Data were collected through a survey questionnaire responded by 9 manufacturing organisations with operations in Hong Kong. The findings suggest that the Hong Kong’s manufacturing organisations surveyed do not currently have a well-developed foundation to implement or sustain lean manufacturing. In particular, these organisations present important opportunities to further develop some quality practices such as processes, planning & control, customer relations, supplier relations, human resources, and top management & leadership. The improvement of these quality practices will ensure, according to Al-Najem et al.’s [16] framework, a more effective implementation and sustainment of lean manufacturing in their operations
How supplier selection criteria affects business performance? A study of UK automotive sector
According to KPMG international (2015), global sales of automobiles are forecasted to reach 73.9 million vehicles and expected to hit 100 million units in the next two years. This shows that automotive sector has a tremendous growth potential and UK automotive sector is no different. However, in recent years the growing environmental awareness has become a major concern for automotive sector as they are faced with pressure of reducing carbon emissions as well as the costs. Suppliers play a significant role in achieving environmental goals set by organisations. Under these circumstances it is worth exploring the criteria that are used in assessing suppliers including the green aspects and how that affects the business performance. Design/methodology/approach: This research adopts a mixed method research approach. In order to collect the quantitative data a survey questionnaire was constructed and sent to automotive businesses listed in the FAME database. In order to triangulate the findings of this study, survey was complemented with in-depth interviews. Around 100 automotive manufacturers were invited for the survey however only 38 usable responses were received. In total seven semi-structured interviews were also conducted with people from different backgrounds and work experiences in the automotive sector. Findings: Literature identified delivery, cost, quality and technology as the supplier assessment criteria commonly used in assessing suppliers in automotive industries. Yet the issue of culture and green supply chain practices (GSP) were also widely concerned in several studies. The data analysis showed that delivery, quality, cost, technology, culture are correlated with exception of green supply chain practices. GSP was only found to be correlated with technology and cultural criteria. Semi-structured interviews suggest delivery and quality as the most important criteria when assessing supplier because of their greater impact toward business performance and reputation. Findings from all respondents also showed that most automotive manufacturers have already adopted environmental competency in their criteria. However, interviewees mentioned that this criterion does not take a major role in assessment compared with other criteria. The results also indicate that all factors studied do affect the business performance of automotive organisations. Value: This study contributes to the limited literature focused on assessing supplier selection criteria and business performance linkage in the UK automotive organisations. In addition, most studies on supplier selection and business performance ignore the green practices as important criteria which this study aims to address. Research limitations/implications: The study is based on the findings from a limited survey responses and semi-structured interviews. Having larger sample population would certainly improve the validity of the findings. The perspective of SMEs and large businesses with regard to each supplier selection criterion may be different hence the future research in this domain would also provide some valuable contributions. Practical implications: The survey responses indicate green supply practices as one of the important criteria in supplier selection. This suggests that automotive manufacturers should realize the importance of green practices while selecting their suppliers. This will help them to meet their own green goals while simultaneously meeting the government environmental.Ministry of Science and Technology, Taiwan
▪ Economic Development Bureau, Kaohsiung, Taiwan
▪ National Kaohsiung First University of Science & Tech, Taiwan
▪ National Taiwan Ocean University, Taiwan
▪ Taiwan International Ports Corp. Ltd.
▪ Jade Yachts Shipbuilding Co., Ltd.
▪ International Academy for Marine Economy and Technology,
The University of Nottingham Ningbo Campus, China
▪ The Institute for Advanced Manufacturing, The University of
Nottingham, U
Hubble Frontier Field Free-Form Mass Mapping of the Massive Multiple-Merging Cluster MACSJ0717.5+3745
We examine the latest data on the cluster MACSJ0717.5+3745 from the Hubble
Frontier Fields campaign. The critically lensed area is the largest known of
any lens and very irregular making it a challenge for parametric modelling.
Using our Free-Form method we obtain an accurate solution, identify here many
new sets of multiple images, doubling the number of constraints and improving
the reconstruction of the dark matter distribution. Our reconstructed mass map
shows several distinct central substructures with shallow density profiles,
clarifying earlier work and defining well the relation between the dark matter
distribution and the luminous and X-ray peaks within the critically lensed
region. Using our free-form method, we are able to meaningfully subtract the
mass contribution from cluster members to the deflection field to trace the
smoothly distributed cluster dark matter distribution. We find 4 distinct
concentrations, 3 of which are coincident with the luminous matter. The fourth
peak has a significant offset from both the closest luminous and X-ray peaks.
These findings, together with dynamical data from the motions of galaxies and
gas will be important for uncovering the potentially important implications of
this extremely massive and intriguing system.Comment: 16 pages, 10 figures, 2 tables. Matches the verson submitted to
mnras. New table (A2) included with additional system candidate
A Rigorous Free-form Lens Model of Abell 2744 to Meet the Hubble Frontier Fields Challenge
Hubble Frontier Fields (HFF) imaging of the most powerful lensing clusters
provides access to the most magnified distant galaxies. The challenge is to
construct lens models capable of describing these complex massive, merging
clusters so that individual lensed systems can be reliably identified and their
intrinsic properties accurately derived. We apply the free-form lensing method
(WSLAP+) to A2744, providing a model independent map of the cluster mass,
magnification, and geometric distance estimates to multiply-lensed sources. We
solve simultaneously for a smooth cluster component on a pixel grid, together
with local deflections by the cluster member galaxies. Combining model
prediction with photometric redshift measurements, we correct and complete
several systems recently claimed, and identify 4 new systems - totalling 65
images of 21 systems spanning a redshift range of 1.4<z<9.8. The reconstructed
mass shows small enhancements in the directions where significant amounts of
hot plasma can be seen in X-ray. We compare photometric redshifts with
"geometric redshifts", finding a high level of self-consistency. We find
excellent agreement between predicted and observed fluxes - with a best-fit
slope of 0.999+-0.013 and an RMS of ~0.25 mag, demonstrating that our
magnification correction of the lensed background galaxies is very reliable.
Intriguingly, few multiply-lensed galaxies are detected beyond z~7.0, despite
the high magnification and the limiting redshift of z~11.5 permitted by the HFF
filters. With the additional HFF clusters we can better examine the
plausibility of any pronounced high-z deficit, with potentially important
implications for the reionization epoch and the nature of dark matter.Comment: Accepted for publication in ApJ with newly identified lensed images
in complete HFF dat
A Free-Form Prediction for the Reappearance of Supernova Refsdal in the Hubble Frontier Fields Cluster MACSJ1149.5+2223
The massive cluster MACSJ1149.5+2223(z=0.544) displays five very large lensed
images of a well resolved spiral galaxy at . It is within
one of these images that the first example of a multiply-lensed supernova has
been detected recently as part of the Grism Lens-Amplified Survey from Space.
The depth of this data also reveals many HII regions within the lensed spiral
galaxy which we identify between the five counter-images. Here we expand the
capability of our free-form method to incorporate these HII regions locally,
with other reliable lensed galaxies added for a global solution. This improved
accuracy allows us to estimate when the Refsdal supernova will appear within
the other lensed images of the spiral galaxy to an accuracy of 7\%. We
predict this supernova will reappear in one of the counter-images
(RA=11:49:36.025, DEC=+22:23:48.11, J2000) and on November 1 2015 (with
an estimated error of 25 days) it will be at the same phase as it was
when it was originally discovered, offering a unique opportunity to study the
early phases of this supernova and to examine the consistency of the mass model
and the cosmological model that have an impact on the time delay prediction.Comment: 12 images, 11 pages. Mateches accepted version in MNRAS. MNRAS in
pres
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