936 research outputs found
Supplemental material for Effect of hospital volume on outcomes of percutaneous peripheral atherectomy – An observational analysis from National Inpatient Sample
No full textSupplemental Material for Effect of hospital volume on outcomes of percutaneous peripheral atherectomy – An observational analysis from National Inpatient Sample by Samir V Patel, Rajesh Sonani, Palak Patel, Mihir Patel, Parth Bhatt and Apurva Badheka in Vascular</p
sj-docx-1-ine-10.1177_15910199221083100 - Supplemental material for Characterizing Fast and Slow Progressors in Anterior Circulation Large Vessel Occlusion Strokes
No full textSupplemental material, sj-docx-1-ine-10.1177_15910199221083100 for Characterizing Fast and Slow Progressors in Anterior Circulation Large Vessel Occlusion Strokes by Mahmoud H Mohammaden, Diogo C Haussen, Leonardo Pisani, Alhamza R Al-Bayati, Nirav R Bhatt, Dinesh V Jillella, Nicolas A Bianchi, Samir R Belagaje, Michael R Frankel and Raul G Nogueira in Interventional Neuroradiology</p
Non-pharmaceutical interventions:evaluating challenges and priorities for future health shocks
No full textNon-pharmaceutical interventions implemented during health shocks such as the covid-19 pandemic require rapid, robust, and rigorous evaluation that can generate timely evidence to guide government policy and maintain public confidence, say Azeem Majeed and colleaguesThe covid-19 pandemic has been among the most challenging global health crises since the second world war.1 Alongside the high rates of infection, hospital admission, and mortality, covid-19 had significant effects on mental and physical health, long term complications, delayed diagnoses for other conditions, direct and indirect social and economic costs (for example, children’s education
The Cassandras in Exile: A Study of the Diasporic Sensibility in the Poetry of Meena Alexander, Sujata Bhatt, Chitra Banerjee Divakaruni, Moniza Alvi and Jean Arasanayagam
No full textNot availabl
sj-pdf-1-jrs-10.1177_01410768211052589 - Supplemental material for Vaccinating adolescents against SARS-CoV-2 in England: a risk–benefit analysis
No full textSupplemental material, sj-pdf-1-jrs-10.1177_01410768211052589 for Vaccinating adolescents against SARS-CoV-2 in England: a risk–benefit analysis by Deepti Gurdasani, Samir Bhatt, Anthony Costello, Spiros Denaxas, Seth Flaxman, Trisha Greenhalgh, Stephen Griffin, Zoë Hyde, Aris Katzourakis, Martin McKee, Susan Michie, Oliver Ratmann, Stephen Reicher, Gabriel Scally, Christopher Tomlinson, Christian Yates, Hisham Ziauddeen and Christina Pagel in Journal of the Royal Society of Medicine</p
Enhancing Fingerprint Liveness Detection Accuracy Using Deep Learning: A Comprehensive Study and Novel Approach
No full textLiveness detection for fingerprint impressions plays a role in the meaningful prevention of any unauthorized activity or phishing attempt. The accessibility of unique individual identification has increased the popularity of biometrics. Deep learning with computer vision has proven remarkable results in image classification, detection, and many others. The proposed methodology relies on an attention model and ResNet convolutions. Spatial attention (SA) and channel attention (CA) models were used sequentially to enhance feature learning. A three-fold sequential attention model is used along with five convolution learning layers. The method’s performances have been tested across different pooling strategies, such as Max, Average, and Stochastic, over the LivDet-2021 dataset. Comparisons against different state-of-the-art variants of Convolutional Neural Networks, such as DenseNet121, VGG19, InceptionV3, and conventional ResNet50, have been carried out. In particular, tests have been aimed at assessing ResNet34 and ResNet50 models on feature extraction by further enhancing the sequential attention model. A Multilayer Perceptron (MLP) classifier used alongside a fully connected layer returns the ultimate prediction of the entire stack. Finally, the proposed method is also evaluated on feature extraction with and without attention models for ResNet and considering different pooling strategies
Changes in housing in sub-Saharan Africa between 2000 and 2015.
No full textThe maps show the absolute difference in prevalence (scale 0 to 1) of housing built with finished materials (A) and improved housing (B) in 2000 and 2015. Houses built with finished materials were those with at least two of three of the wall, roof, and floor made from finished materials (e.g., parquet, vinyl, tiled, cement, or carpet floor), rather than natural or unfinished materials (e.g., earth, sand, dung, or palm floor). Improved houses were those with improved water and sanitation, sufficient living area, and finished building materials. Results are derived from a geospatial model fitted to 62 surveys representing 661,945 households (building materials) and 59 surveys representing 629,298 households (house type) [13]. Areas in green show the greatest changes in housing. First published in Nature [13]. The base map was created by Samir Bhatt of the Malaria Atlas Project, Oxford.</p
Topology-aware distributed graph processing for tightly-coupled clusters
No full textCloud applications have burgeoned over the last few years, but they are typically written for loosely-coupled clusters such as datacenters. In this thesis we investigate how one can run cloud applications in tightly-coupled clusters and network topologies, namely super-computers. Specifically, we look at a class of distributed machine learning systems called distributed graph processing systems, and run them on NCSA Blue Waters. Partitioning the graph is key to achieving performance in distributed graph processing systems. We present new topology-aware partitioning techniques that better exploit the structure of the network topologies in supercomputers. Compared to existing work, our new Restricted Oblivious and Grid Centroid partitioning approaches produce 25-33% improvement in makespan, along with a sizable reduction in network traffic. We also discuss optimizations such as smart network buffers that further amplify the improvement. To help operators select the best graph partitioning technique, we culminate our experimental results into a decision tree.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-05-01The student, Mayank Bhatt, accepted the attached license on 2018-04-23 at 17:13.The student, Mayank Bhatt, submitted this Thesis for approval on 2018-04-23 at 17:20.This Thesis was approved for publication on 2018-04-24 at 15:21.DSpace SAF Submission Ingestion Package generated from Vireo submission #12435 on 2018-08-31 at 17:21:19Made available in DSpace on 2018-09-04T20:36:52Z (GMT). No. of bitstreams: 2
BHATT-THESIS-2018.pdf: 1415794 bytes, checksum: e08311d8168967b2e47baf1ef67f7fdc (MD5)
LICENSE.txt: 4209 bytes, checksum: b810a770b0873fc45062dd7e9ce83fde (MD5)
Previous issue date: 2018-04-24Embargo set by: Seth Robbins for item 107297
Lift date: 2020-09-04T20:37:00Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 107297
Lift date: 2020-09-04T20:42:08Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 107297 on 2020-09-05T09:15:32Z
Erratum: Hybrid group recommendation using modified termite colony algorithm: A context towards big data (Journal of Physical Chemistry (2018) 17:2 (1850019) DOI: 10.1142/S0219649218500193)
No full textWe would like to make the following correction to this article. The third author a±liation should be read as follows: Chintan Bhatt U. & P. U. Patel Department of Computer Engineering Charotar University of Science and Technology Changa, Gujarat 388421, India [email protected]
Replication Data for: Using Hawkes Processes to model imported and local malaria cases in near-elimination settings
No full textThis data set includes fits and simulations to recreate the figures in the paper "Using Hawkes Processes to model imported and local malaria cases in near-elimination settings". The two original data sources have been published previously: China - Routledge I, Lai S, Battle KE, Ghani AC, Gomez-Rodriguez M, Gustafson KB, et al. Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach. PLOS Computational Biology. 2020;16(3):1–20. doi:10.1371/journal.pcbi.1007707. Eswatini - Reiner Jr RC, Menach AL, Kunene S, Ntshalintshali N, Hsiang MS, Perkins TA, et al. Mapping residual transmission for malaria elimination. elife. 2015; doi:10.7554/eLife.09520. Simulated data: The 10,000 simulations used for Fig 2 are the Eswatini simulations and we include the fits to our partial simulations used in Fig 3. Case studies: For our two case studies we include our Hawkes model fits (Fig 4) with an exponential and a Rayleigh kernel and our growth model fits. We also include our 10,000 simulations of each dataset used in Figs 5 and 6. </span
- …
