1,062 research outputs found
sj-docx-2-cpc-10.1177_10556656221080359 - Supplemental material for Cone-Beam Computed Tomographic Assessment of Maxillary Sinus Characteristics in Patients With Cleft Lip and Palate: A Systematic Review and Meta-Analysis
No full textSupplemental material, sj-docx-2-cpc-10.1177_10556656221080359 for Cone-Beam Computed Tomographic Assessment of Maxillary Sinus Characteristics in Patients With Cleft Lip and Palate: A Systematic Review and Meta-Analysis by Sukeshana Srivastav, Nitesh Tewari, Ritu Duggal, Shubhi Goel, Morankar Rahul, Vijay Prakash Mathur, Rahul Yadav and Ashish Dutt Upadhyaya in The Cleft Palate-Craniofacial Journal</p
sj-docx-1-cpc-10.1177_10556656221080359 - Supplemental material for Cone-Beam Computed Tomographic Assessment of Maxillary Sinus Characteristics in Patients With Cleft Lip and Palate: A Systematic Review and Meta-Analysis
No full textSupplemental material, sj-docx-1-cpc-10.1177_10556656221080359 for Cone-Beam Computed Tomographic Assessment of Maxillary Sinus Characteristics in Patients With Cleft Lip and Palate: A Systematic Review and Meta-Analysis by Sukeshana Srivastav, Nitesh Tewari, Ritu Duggal, Shubhi Goel, Morankar Rahul, Vijay Prakash Mathur, Rahul Yadav and Ashish Dutt Upadhyaya in The Cleft Palate-Craniofacial Journal</p
sj-docx-3-cpc-10.1177_10556656221080359 - Supplemental material for Cone-Beam Computed Tomographic Assessment of Maxillary Sinus Characteristics in Patients With Cleft Lip and Palate: A Systematic Review and Meta-Analysis
No full textSupplemental material, sj-docx-3-cpc-10.1177_10556656221080359 for Cone-Beam Computed Tomographic Assessment of Maxillary Sinus Characteristics in Patients With Cleft Lip and Palate: A Systematic Review and Meta-Analysis by Sukeshana Srivastav, Nitesh Tewari, Ritu Duggal, Shubhi Goel, Morankar Rahul, Vijay Prakash Mathur, Rahul Yadav and Ashish Dutt Upadhyaya in The Cleft Palate-Craniofacial Journal</p
sj-docx-5-cpc-10.1177_10556656221080359 - Supplemental material for Cone-Beam Computed Tomographic Assessment of Maxillary Sinus Characteristics in Patients With Cleft Lip and Palate: A Systematic Review and Meta-Analysis
No full textSupplemental material, sj-docx-5-cpc-10.1177_10556656221080359 for Cone-Beam Computed Tomographic Assessment of Maxillary Sinus Characteristics in Patients With Cleft Lip and Palate: A Systematic Review and Meta-Analysis by Sukeshana Srivastav, Nitesh Tewari, Ritu Duggal, Shubhi Goel, Morankar Rahul, Vijay Prakash Mathur, Rahul Yadav and Ashish Dutt Upadhyaya in The Cleft Palate-Craniofacial Journal</p
sj-jpg-6-cpc-10.1177_10556656221080359 - Supplemental material for Cone-Beam Computed Tomographic Assessment of Maxillary Sinus Characteristics in Patients With Cleft Lip and Palate: A Systematic Review and Meta-Analysis
No full textSupplemental material, sj-jpg-6-cpc-10.1177_10556656221080359 for Cone-Beam Computed Tomographic Assessment of Maxillary Sinus Characteristics in Patients With Cleft Lip and Palate: A Systematic Review and Meta-Analysis by Sukeshana Srivastav, Nitesh Tewari, Ritu Duggal, Shubhi Goel, Morankar Rahul, Vijay Prakash Mathur, Rahul Yadav and Ashish Dutt Upadhyaya in The Cleft Palate-Craniofacial Journal</p
sj-docx-4-cpc-10.1177_10556656221080359 - Supplemental material for Cone-Beam Computed Tomographic Assessment of Maxillary Sinus Characteristics in Patients With Cleft Lip and Palate: A Systematic Review and Meta-Analysis
No full textSupplemental material, sj-docx-4-cpc-10.1177_10556656221080359 for Cone-Beam Computed Tomographic Assessment of Maxillary Sinus Characteristics in Patients With Cleft Lip and Palate: A Systematic Review and Meta-Analysis by Sukeshana Srivastav, Nitesh Tewari, Ritu Duggal, Shubhi Goel, Morankar Rahul, Vijay Prakash Mathur, Rahul Yadav and Ashish Dutt Upadhyaya in The Cleft Palate-Craniofacial Journal</p
sj-docx-1-css-10.1177_24705470231203655 - Supplemental material for Framework for Accurate Classification of Self-Reported Stress From Multisession Functional MRI Data of Veterans With Posttraumatic Stress
No full textSupplemental material, sj-docx-1-css-10.1177_24705470231203655 for Framework for Accurate Classification of Self-Reported Stress From Multisession Functional MRI Data of Veterans With Posttraumatic Stress by Rahul Goel, Teresa Tse, Lia J. Smith, Andrew Floren, Bruce Naylor, M. Wright Williams, Ramiro Salas, Albert S. Rizzo and David Ress in Chronic Stress</p
Potential health benefits of eliminating traffic emissions in urban areas
No full textTraffic is one of the major contributors to PM
2.5 in cities worldwide. Quantifying the role of traffic is an important step towards understanding the impact of transport policies on the possibilities to achieve cleaner air and accompanying health benefits. With the aim of estimating potential health benefits of eliminating traffic emissions, we carried out a meta-analysis using the World Health Organisation (WHO) database of source apportionment studies of PM
2.5 concentrations. Specifically, we used a Bayesian meta-regression approach, modelling both overall and traffic-related (tailpipe and non-tailpipe) concentrations simultaneously. We obtained the distributions of expected PM
2.5 concentrations (posterior densities) of different types for 117 cities worldwide. Using the non-linear Integrated Exposure Response (IER) function of PM
2.5, we estimated percent reduction in different disease endpoints for a scenario with complete removal of traffic emissions. We found that eliminating traffic emissions results in achieving the WHO-recommended concentration of PM
2.5 only for a handful of cities that already have low concentrations of pollution. The percentage reduction in premature mortality due to cardiovascular and respiratory diseases increases up to a point (30–40 ug/ m
3), and above this concentration, it flattens off. For diabetes-related mortality, the percentage reduction in mortality decreases with increasing concentrations—a trend that is opposite to other outcomes. For cities with high concentrations of pollution, the results highlight the need for multi-sectoral strategies to reduce pollution. The IER functions of PM
2.5 result in diminishing returns of health benefits at high concentrations, and in case of diabetes, there are even negative returns. The results show the significant effect of the shape of IER functions on health benefits. Overall, despite the diminishing results, a significant burden of deaths can be prevented by policies that aim to reduce traffic emissions even at high concentrations of pollution.
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Stress Tracker—Detecting Acute Stress from a Trackpad: Controlled Study
No full text©Rahul Goel, Michael An, Hugo Alayrangues, Amirhossein Koneshloo, Emmanuel Thierry Lincoln, Pablo Enrique Paredes. cc-byBackground: Stress is a risk factor associated with physiological and mental health problems. Unobtrusive, continuous stress sensing would enable precision health monitoring and proactive interventions, but current sensing methods are often inconvenient, expensive, or suffer from limited adherence. Prior work has shown the possibility to detect acute stress using biomechanical models derived from passive logging of computer input devices. Objective: Our objective is to detect acute stress from passive movement measurements of everyday interactions on a laptop trackpad: (1) click, (2) steer, and (3) drag and drop. Methods: We built upon previous work, detecting acute stress through the biomechanical analyses of canonical computer mouse interactions and extended it to study similar interactions with the trackpad. A total of 18 participants carried out 40 trials each of three different types of movement—(1) click, (2) steer, and (3) drag and drop—under both relaxed and stressed conditions. Results: The mean and SD of the contact area under the finger were higher when clicking trials were performed under stressed versus relaxed conditions (mean area: P=.009, effect size=0.76; SD area: P=.01, effect size=0.69). Further, our results show that as little as 4 clicks on a trackpad can be used to detect binary levels of acute stress (ie, whether it is present or not). Conclusions: We present evidence that scalable, inexpensive, and unobtrusive stress sensing can be done via repurposing passive monitoring of computer trackpad usage
Interactive Segmentation of Radiance Fields
No full textRadiance Fields (RF) are popular to represent casually-captured scenes for
new view synthesis and several applications beyond it. Mixed reality on
personal spaces needs understanding and manipulating scenes represented as RFs,
with semantic segmentation of objects as an important step. Prior segmentation
efforts show promise but don't scale to complex objects with diverse
appearance. We present the ISRF method to interactively segment objects with
fine structure and appearance. Nearest neighbor feature matching using
distilled semantic features identifies high-confidence seed regions. Bilateral
search in a joint spatio-semantic space grows the region to recover accurate
segmentation. We show state-of-the-art results of segmenting objects from RFs
and compositing them to another scene, changing appearance, etc., and an
interactive segmentation tool that others can use.
Project Page: https://rahul-goel.github.io/isrf/Comment: Accepted to CVPR 2023. Project Page:
https://rahul-goel.github.io/isrf
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