529 research outputs found
Responsible ML Datasets
No full textIn this study, we discuss the importance of Responsible Machine Learning Datasets through the lens of fairness, privacy, and regulatory compliance and present a large audit of Computer Vision datasets. The audit is conducted through evaluation of the proposed responsible rubric. After surveying over 100 datasets, our detailed analysis of 60 distinct datasets highlights a universal susceptibility to fairness, privacy, and regulatory compliance issues.
Please cite the paper below.
Mittal, Surbhi, Kartik Thakral, Richa Singh, Mayank Vatsa, Tamar Glaser, Cristian Canton Ferrer, Tal Hassner. "On Responsible Machine Learning Datasets Emphasizing Fairness Privacy and Regulatory Norms with Examples in Biometrics and Healthcare." Nature Machine Intelligence (2024).
@article{mittal2024responsible,
title={On Responsible Machine Learning Datasets Emphasizing Fairness Privacy and Regulatory Norms with Examples in Biometrics and Healthcare},
author={Mittal, Surbhi, and Thakral, Kartik and Singh, Richa and Vatsa, Mayank and Glaser, Tamar and Ferrer, Cristian Canton and Hassner, Tal},
journal={Nature Machine Intelligence},
year={2024},
publisher={Nature Publishing Group UK London}
Responsible ML Datasets
No full textIn this study, we discuss the importance of Responsible Machine Learning Datasets through the lens of fairness, privacy, and regulatory compliance and present a large audit of Computer Vision datasets. The audit is conducted through evaluation of the proposed responsible rubric. After surveying over 100 datasets, our detailed analysis of 60 distinct datasets highlights a universal susceptibility to fairness, privacy, and regulatory compliance issues.
Please cite the paper below.
Mittal, Surbhi, Kartik Thakral, Richa Singh, Mayank Vatsa, Tamar Glaser, Cristian Canton Ferrer, Tal Hassner. "On Responsible Machine Learning Datasets Emphasizing Fairness Privacy and Regulatory Norms with Examples in Biometrics and Healthcare." Nature Machine Intelligence (2024).
@article{mittal2024responsible,
title={On Responsible Machine Learning Datasets Emphasizing Fairness Privacy and Regulatory Norms with Examples in Biometrics and Healthcare},
author={Mittal, Surbhi, and Thakral, Kartik and Singh, Richa and Vatsa, Mayank and Glaser, Tamar and Ferrer, Cristian Canton and Hassner, Tal},
journal={Nature Machine Intelligence},
year={2024},
publisher={Nature Publishing Group UK London}
Collected Papers (Papers of Mathematics or Applied Mathematics), Volume V
No full textThis volum includes 37 papers of mathematics or applied mathematics written by the author alone or in collaboration with the following co-authors: Cătălin Barbu, Mihály Bencze, Octavian Cira, Marian Niţu, Ion Pătraşcu, Mircea E. Şelariu, Rajan Alex, Xingsen Li, Tudor Păroiu, Luige Vlădăreanu, Victor Vlădăreanu, Ştefan Vlăduţescu, Yingjie Tian, Mohd Anasri, Lucian Căpitanu, Valeri Kroumov, Kimihiro Okuyama, Gabriela Tonţ, A. A. Adewara, Manoj K. Chaudhary, Mukesh Kumar, Sachin Malik, Alka Mittal, Neetish Sharma, Rakesh K. Shukla, Ashish K. Singh, Jayant Singh, Rajesh Singh, V.V. Singh, Hansraj Yadav, Amit Bhaghel, Dipti Chauhan, V. Christianto, Priti Singh, and Dmitri Rabounski
Healing Effect of Botox in Dental Office
No full textABSTRACT
In this era of passion to look beautiful, various new technologies are emerging to enhance and improve the physical appearance of people. Botox is emerging as one such popular treatment to improve various facial anomalies. Minimally invasive treatment can be done by botox, which can expand our therapeutic options for the benefit of our patients. The aim of this article is to elaborate the healing aspect of this toxin, i.e., botox.
How to cite this article
Mittal R, Singla M, Aggarwal H. Healing Effect of Botox in Dental Office. J Oral Health Comm Dent 2017;11(1):13-18.
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Assessment of psychological effects of dental treatment on children
No full textAim : The aim of present study is to investigate the various psychological effects on children due to dental treatment. Materials and Methods : One hundred and eighty school going children, age range between six and twelve years, were recruited into the study and divided into two groups (Group I included six to nine-year-olds and Group II included nine-to-twelve year olds). Only those children were included who underwent a certain dental treatment seven days prior to the investigation. Each child was asked a preformed set of questions. The child was allowed to explain and answer in his own way, rather than only in yes or no. The answers were recorded. After interviewing, the child was asked either to draw a picture or to write an essay related to his experience regarding the dentist and dental treatment. Results : A majority of the children (92.22%) had a positive perception. The number of children having negative and neutral perceptions was comparatively much less. Younger children (Group I) had a more negative experience than the older children (Group II). Only one-fourth of the children complained of some pretreatment fear (23.83%); 72.09% of the children did not have any pain during dental treatment and a majority of children (80.23%) remembered their dental treatment. Conclusion : A majority of children had a positive perception of their dental treatment and the children in the younger age group had more negative perceptions than the children in the older age group
Approximation of Signals (Functions) by Trigonometric Polynomials in Lp-Norm
No full textMittal and Rhoades (1999, 2000) and Mittal et al. (2011) have initiated a study of error estimates En(f) through
trigonometric-Fourier approximation (tfa) for the situations in which the summability matrix T does not have monotone rows. In this paper, the first author continues the work in the direction for T to be a Np-matrix. We extend two theorems on summability matrix Np of Deger et al. (2012) where they have extended two theorems of Chandra (2002) using Cλ-method obtained by deleting a set of rows from Cesàro matrix C1. Our theorems also generalize two theorems of Leindler (2005) to Np-matrix which in turn generalize the result of Chandra (2002) and Quade (1937)
Sodium glucose co-transporter 2 inhibitors for glycemic control in type 2 diabetes mellitus: Quality of reporting of randomized controlled trials
No full textBackground: Sodium glucose co-transporter 2 inhibitors represent a novel class of antidiabetic drugs. The reporting quality of the trials evaluating the efficacy of these agents for glycemic control in type 2 diabetes mellitus has not been explored. Our aim was to assess the reporting quality of such randomized controlled trials (RCTs) and to identify the predictors of reporting quality. Materials and Methods: A systematic literature search was conducted for RCTs published till 12 June 2014. Two independent investigators carried out the searches and assessed the reporting quality on three parameters: Overall quality score (OQS) using Consolidated Standards of Reporting Trials (CONSORT) 2010 statement, Jadad score and intention to treat analysis. Inter-rater agreements were compared using Cohen's weighted kappa statistic. Multivariable linear regression analysis was used to identify the predictors. Results: Thirty-seven relevant RCTs were included in the present analysis. The median OQS was 17 with a range from 8 to 21. On Jadad scale, the median score was three with a range from 0 to 5. Complete details about allocation concealment and blinding were present in 21 and 10 studies respectively. Most studies lacked an elaborate discussion on trial limitations and generalizability. Among the factors identified as significantly associated with reporting quality were the publishing journal and region of conduct of RCT. Conclusions: The key methodological items remain poorly reported in most studies. Strategies like stricter adherence to CONSORT guidelines by journals, access to full trial protocols to gain valuable information and full collaboration among investigators and methodologists might prove helpful in improving the quality of published RCT reports
Highly scalable solution of incompressible Navier-Stokes equations using the spectral element method with overlapping grids
No full textWe present a highly-flexible Schwarz overlapping framework for simulating turbulent fluid/thermal transport in complex domains. The approach is based on a variant of the Schwarz alternating method in which the solution is advanced in parallel in separate overlapping subdomains. In each domain, the governing equations are discretized with an efficient high-order spectral element method (SEM). At each step, subdomain boundary data are determined by interpolating from the overlapping region of adjacent subdomains. The data are either lagged in time or extrapolated to higher-order temporal accuracy using a novel stabilized predictor-corrector algorithm. Matrix stability analysis is used to determine the optimal number of corrector iterations. Stability and accuracy are further improved with an optimal mass flux correction to guarantee mass conservation throughout the domain. The method supports an arbitrary number of subdomains. A new multirate time-stepping scheme is developed (a first for incompressible flow simulations) that allows the underlying equations to be advanced with time-step sizes varying as much as an order-of-magnitude between adjacent domains. All the developments maintain the third-order temporal convergence and exponential convergence of the originating SEM framework. This dissertation also presents a mesh optimizer that has been specifically designed for meshes generated for turbulent flow problems. The optimizer supports surface mesh improvement, which minimizes geometrical approximation errors. The smoother is shown to reduce the computational cost of numerical calculations by as much as 40%. Numerous examples illustrate the effectiveness of these new technologies for analyzing challenging turbulence problems that were previously infeasible.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-12-01The student, Ketan Mittal, accepted the attached license on 2019-10-07 at 11:58.The student, Ketan Mittal, submitted this Dissertation for approval on 2019-10-07 at 12:08.This Dissertation was approved for publication on 2019-10-09 at 15:36.DSpace SAF Submission Ingestion Package generated from Vireo submission #14486 on 2020-02-28 at 17:20:54Made available in DSpace on 2020-03-02T22:12:10Z (GMT). No. of bitstreams: 2
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Previous issue date: 2019-10-09Embargo set by: Seth Robbins for item 113863
Lift date: 2022-03-02T22:12:26Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 113863
Lift date: 2022-03-02T22:15:21Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 113863
Lift date: 2022-03-02T22:18:25Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemOpen Restriction set for Item 113863 on 2020-03-04T16:22:37Z with date null by [email protected] Restriction set for Item 113863 on 2020-03-04T16:22:39Z with date null by [email protected]
Antimicrobial efficacy of commercially available ozonated olive oil and sodium hypochlorite with and without ultrasonic activation in primary endodontic infections: A randomized clinical trial
No full textAim: This study compared the antimicrobial efficacy of commercially available ozonated olive oil and sodium hypochlorite (NaOCl) with and without ultrasonic activation in primary endodontic infections.
Materials and Methods: Fifty-six patients fulfilling the inclusion criteria were selected and randomly assigned to four groups (n = 14) according to the irrigant and irrigation technique employed during biomechanical preparation. Group 1: NaOCl, Group 2: NaOCl with passive ultrasonic irrigation (PUI), Group 3-Ozonated olive oil, and Group 4-Ozonated olive oil with PUI. Bacteriological samples were taken from the canals before (S1) and after (S2) preparation using sterile paper points. Microbiological samples (S1, S2) were incubated and plated on Brain Heart Infusion agar. Colonies were counted after 24 h using the classic bacterial counting method. Collected data were statistically analyzed.
Results: Statistically significant reduction (P < 0.05) of bacterial counts was found from S1 to S2 in all four experimental groups. The mean percentage reduction of bacterial counts of Group 1 and Group 3 was found to be lower than that of Group 2 and Group 4. The highest mean percentage bacterial reduction was seen in Group 2 (P < 0.05).
Conclusion: PUI significantly enhanced the antimicrobial activity of the experimental groups and ozonated olive oil can be used as an adjunctive irrigant in primary endodontic infections. The antibacterial activity of ozonated olive oil with PUI was found to be comparable with that of NaOCl with PUI
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