1,241 research outputs found
The Effect of Smart Class on Academic Achievement
The study explores the effect of Smart class on the Academic Achievement of students. The sample consisted of 60 students (15 boys & 15 girls in each group) from two higher secondary schools of Bhilai city, Durg (C.G.). The samples were taken from class VIII students having academic achievement of 60% to 65% of scores in the formative assessments and first Summative assessment. An academic achievement test developed by both the subject teachers was used as data collection tool. The thirty students, fifteen boys and fifteen girls, from the first school formed the experimental group and same number of boys and girls from the second school was treated as control group. The experimental group was taught a topic from Science subject through smart class and the control group was taught the same topic through the traditional method of teaching. An achievement test was administered to both the groups after the completion of topic. Scores were analysed to find out which group fared better
GPURepair: Automated Repair of GPU Kernels
This paper presents a tool for repairing errors in GPU kernels written in
CUDA or OpenCL due to data races and barrier divergence. Our novel extension to
prior work can also remove barriers that are deemed unnecessary for
correctness. We implement these ideas in our tool called GPURepair, which uses
GPUVerify as the verification oracle for GPU kernels. We also extend GPUVerify
to support CUDA Cooperative Groups, allowing GPURepair to perform inter-block
synchronization for CUDA kernels. To the best of our knowledge, GPURepair is
the only tool that can propose a fix for intra-block data races and barrier
divergence errors for both CUDA and OpenCL kernels and the only tool that fixes
inter-block data races for CUDA kernels. We perform extensive experiments on
about 750 kernels and provide a comparison with prior work. We demonstrate the
superiority of GPURepair through its capability to fix more kernels and its
unique ability to remove redundant barriers and handle inter-block data races.Comment: 19 pages, 1 algorithm, 3 figures, 22nd International Conference on
Verification Model Checking and Abstract Interpretation (VMCAI 2021
Lower limb arterial calcification (LLAC) scores in patients with symptomatic peripheral arterial disease are associated with increased cardiac mortality and morbidity
Aims
The association of coronary arterial calcification with cardiovascular morbidity and mortality is well-recognized. Lower limb arterial calcification (LLAC) is common in PAD but its impact on subsequent health is poorly described. We aimed to determine the association between a LLAC score and subsequent cardiovascular events in patients with symptomatic peripheral arterial disease (PAD).
Methods
LLAC scoring, and the established Bollinger score, were derived from a database of unenhanced CT scans, from patients presenting with symptomatic PAD. We determined the association between these scores outcomes. The primary outcome was combined cardiac mortality and morbidity (CM/M) with a secondary outcome of all-cause mortality.
Results
220 patients (66% male; median age 69 years) were included with follow-up for a median 46 [IQR 31–64] months. Median total LLAC scores were higher in those patients suffering a primary outcome (6831 vs. 1652; p = 0.012). Diabetes mellitus (p = 0.039), ischaemic heart disease (p = 0.028), chronic kidney disease (p = 0.026) and all-cause mortality (p = 0.012) were more common in patients in the highest quartile of LLAC scores. The area under the curve of the receiver operator curve for the LLAC score was greater (0.929: 95% CI [0.884–0.974]) than for the Bollinger score (0.824: 95% CI [0.758–0.890]) for the primary outcome. A LLAC score ≥ 4400 had the best diagnostic accuracy to determine the outcome measure.
Conclusion
This is the largest study to investigate links between lower limb arterial calcification and cardiovascular events in symptomatic PAD. We describe a straightforward, reproducible, CT-derived measure of calcification—the LLAC score.M.M.C. is supported by the Royal College of Surgeons of England Fellowship Programme and a British Heart Foundation Research Fellowship award FS/16/29/31957. J.M.T. is supported by a Wellcome Trust Research Training Fellowship (104492/Z/14/Z). J.H.F.R. is part-supported by the NIHR Cambridge Biomedical Research Centre, the British Heart Foundation, HEFCE and the Wellcome Trust
Genomic analysis of male puberty timing highlights shared genetic basis with hair colour and lifespan
The timing of puberty is highly variable and is associated with long-term health outcomes. To date, understanding of the genetic control of puberty timing is based largely on studies in women. Here, we report a multi-trait genome-wide association study for male puberty timing with an effective sample size of 205,354 men. We find moderately strong genomic correlation in puberty timing between sexes (rg = 0.68) and identify 76 independent signals for male puberty timing. Implicated mechanisms include an unexpected link between puberty timing and natural hair colour, possibly reflecting common effects of pituitary hormones on puberty and pigmentation. Earlier male puberty timing is genetically correlated with several adverse health outcomes and Mendelian randomization analyses show a genetic association between male puberty timing and shorter lifespan. These findings highlight the relationships between puberty timing and health outcomes, and demonstrate the value of genetic studies of puberty timing in both sexes
Assessing Levels of Attention Using Low Cost Eye Tracking
The emergence of mobile eye trackers embedded in next generation smartphones
or VR displays will make it possible to trace not only what objects we look at
but also the level of attention in a given situation. Exploring whether we can
quantify the engagement of a user interacting with a laptop, we apply mobile
eye tracking in an in-depth study over 2 weeks with nearly 10.000 observations
to assess pupil size changes, related to attentional aspects of alertness,
orientation and conflict resolution. Visually presenting conflicting cues and
targets we hypothesize that it's feasible to measure the allocated effort when
responding to confusing stimuli. Although such experiments are normally carried
out in a lab, we are able to differentiate between sustained alertness and
complex decision making even with low cost eye tracking "in the wild". From a
quantified self perspective of individual behavioral adaptation, the
correlations between the pupil size and the task dependent reaction time and
error rates may longer term provide a foundation for modifying smartphone
content and interaction to the users perceived level of attention.Comment: 12 pages, 6 figures, 2 tables. The final publication will be
available at Springer via http://dx.doi.org/DOIxxx, when published as part of
the HCI International 2016 Conference Proceeding
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Vascular Imaging With F-Fluorodeoxyglucose Positron Emission Tomography Is Influenced by Hypoxia
This study was funded by a programme grant (RG/10/007/28300) from the British Heart Foundation (BHF). Dr. Joshi was supported by a BHF Clinical Research Training Fellowship (FS/12/29/29463), a British Atherosclerosis Society Binks Trust Travel Award, and a Raymond and Beverly Sackler PhD Studentship. Dr. Manavaki is funded by the NIHR Cambridge Biomedical Research Centre. Dr. Rudd is partially supported by the NIHR Cambridge Biomedical Research Centre, the BHF, The Wellcome Trust, and the EPSRC Cambridge Centre for Mathematical Imaging in Healthcare
Genomic analysis of male puberty timing highlights shared genetic basis with hair colour and lifespan
The timing of puberty is highly variable and is associated with long-term health outcomes. To date, understanding of the genetic control of puberty timing is based largely on studies in women. Here, we report a multi-trait genome-wide association study for male puberty timing with an effective sample size of 205,354 men. We find moderately strong genomic correlation in puberty timing between sexes (rg = 0.68) and identify 76 independent signals for male puberty timing. Implicated mechanisms include an unexpected link between puberty timing and natural hair colour, possibly reflecting common effects of pituitary hormones on puberty and pigmentation. Earlier male puberty timing is genetically correlated with several adverse health outcomes and Mendelian randomization analyses show a genetic association between male puberty timing and shorter lifespan. These findings highlight the relationships between puberty timing and health outcomes, and demonstrate the value of genetic studies of puberty timing in both sexes
Different atmospheric moisture divergence responses to extreme and moderate El Niños
On seasonal and inter-annual time scales, vertically integrated moisture divergence provides a useful measure of the tropical atmospheric hydrological cycle. It reflects the combined dynamical and thermodynamical effects, and is not subject to the limitations that afflict observations of evaporation minus precipitation. An empirical orthogonal function (EOF) analysis of the tropical Pacific moisture divergence fields calculated from the ERA-Interim reanalysis reveals the dominant effects of the El Niño-Southern Oscillation (ENSO) on inter-annual time scales. Two EOFs are necessary to capture the ENSO signature, and regression relationships between their Principal Components and indices of equatorial Pacific sea surface temperature (SST) demonstrate that the transition from strong La Niña through to extreme El Niño events is not a linear one. The largest deviation from linearity is for the strongest El Niños, and we interpret that this arises at least partly because the EOF analysis cannot easily separate different patterns of responses that are not orthogonal to each other. To overcome the orthogonality constraints, a self-organizing map (SOM) analysis of the same moisture divergence fields was performed. The SOM analysis captures the range of responses to ENSO, including the distinction between the moderate and strong El Niños identified by the EOF analysis. The work demonstrates the potential for the application of SOM to large scale climatic analysis, by virtue of its easier interpretation, relaxation of orthogonality constraints and its versatility for serving as an alternative classification method. Both the EOF and SOM analyses suggest a classification of “moderate” and “extreme” El Niños by their differences in the magnitudes of the hydrological cycle responses, spatial patterns and evolutionary paths. Classification from the moisture divergence point of view shows consistency with results based on other physical variables such as SST
Landscape Mapping of Functional Proteins in Insulin Signal Transduction and Insulin Resistance: A Network-Based Protein-Protein Interaction Analysis
The type 2 diabetes has increased rapidly in recent years throughout the world. The insulin signal transduction mechanism gets disrupted sometimes and it's known as insulin-resistance. It is one of the primary causes associated with type-2 diabetes. The signaling mechanisms involved several proteins that include 7 major functional proteins such as INS, INSR, IRS1, IRS2, PIK3CA, Akt2, and GLUT4. Using these 7 principal proteins, multiple sequences alignment has been created. The scores between sequences also have been developed. We have constructed a phylogenetic tree and modified it with node and distance. Besides, we have generated sequence logos and ultimately developed the protein-protein interaction network. The small insulin signal transduction protein arrangement shows complex network between the functional proteins
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