LIVIVO - Search results -

Search results

Result 1 - 10 of total 30

Search options

Article: Blockchain for COVID-19: a comprehensive review.

Shah, Het / Shah, Manasi / Tanwar, Sudeep / Kumar, Neeraj

2021 , Page(s) 1–28

Abstract: The rampant and sudden outbreak of the SARS-CoV-2 coronavirus also called COVID-19 and its uncontrollable spread have led to a global crisis. COVID-19 is a highly contagious disease and the only way to fight with it is to follow social distancing and Non- ...

Abstract	The rampant and sudden outbreak of the SARS-CoV-2 coronavirus also called COVID-19 and its uncontrollable spread have led to a global crisis. COVID-19 is a highly contagious disease and the only way to fight with it is to follow social distancing and Non-Pharmaceutical Interventions (NPIs). Moreover, this virus is increasing exponentially day-by-day and a huge amount of data from this disease is also generated at the fast pace. So, there is a need to store, manage, and analyze this huge amount of data efficiently to get meaningful insights from it, which further helps medical professionals to tackle this global pandemic situation. Moreover, this data is to be passed through an open channel, i.e., the Internet, which opens the doors for the intruders to perform some malicious activities. Blockchain (BC) emerges as a technology that can manage the data in an efficient, transparent manner and also preserve the privacy of all the stakeholders. It can also aid in transaction authorization and verification in the supply chain or payments. Motivated by these facts, in this paper, we present a comprehensive review on the adoption of BC to tackle COVID-19 situations. We also present a case study on BC-based digital vaccine passports and analyzed its complexity. Finally, we analyzed the research challenges and future directions in this emerging area.
Language	English
Publishing date	2021-08-05
Publishing country	England
Document type	Journal Article
ZDB-ID	1480656-3
ISSN	1617-4917 ; 1433-3066 ; 1617-4909 ; 0949-2054
ISSN (online)	1617-4917 ; 1433-3066
ISSN	1617-4909 ; 0949-2054
DOI	10.1007/s00779-021-01610-8
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Article ; Online: Neurosurgery as a Top-Drawer Choice for Residency in India: Reality or Myth?

Shah, Het / Pandey, Kushagra / Raheja, Amol / Garg, Kanwaljeet / Singla, Raghav / Mishra, Shashwat / Tandon, Vivek / Servadei, Franco / Kale, Shashank

World neurosurgery

2024 Volume 183, Page(s) e512–e521

Abstract: Introduction: This survey was conducted to explore the perceptions of undergraduate (UG) medical students regarding enrolling in a neurosurgical training program. The purpose was to understand' expectations, reasons, apprehensions, and variables ... ...

Abstract	Introduction: This survey was conducted to explore the perceptions of undergraduate (UG) medical students regarding enrolling in a neurosurgical training program. The purpose was to understand' expectations, reasons, apprehensions, and variables influencing students' decisions to pursue a career in neurosurgery. The results shed light on students' perceptions and can help educational institutions and training programs draw in and encourage aspiring neurosurgeons. Methods: A 35-point online questionnaire was created using Google Forms (Google LLC) after content and face validation and circulated using social media platforms among various public medical colleges across India. Responses were collected over a period of 3 months, from February 2023 to April 2023. A 5-point Likert scale was used to collect the responses wherever applicable. Results: A total of 1042 respondents from 47 medical colleges completed the survey. The majority of the students were not exposed to neurosurgery during their UG program, but despite this, 60.1% (n = 627) were willing to consider it as their career option. Around 91.4% of the respondents perceived neurosurgery to be a challenging but prestigious specialty that has a long learning curve and the worst work-life balance when compared with other specialties. The majority of the respondents (strongly disagree = 24.3%, n = 253; disagree = 31.7%, n = 330) did not view neurosurgery as a male-dominated specialty. Most students preferred a 6-year training program over a 3-year program (P = 0.001) if their medical college had such a course. Conclusions: Our study reveals that although a majority of the UG students would like to join neurosurgery residency, there are significant barriers in the form of less exposure, negative perceptions, and apprehensions toward the branch. Enhancing medical students' awareness about neurosurgery necessitates the integration of hands-on workshops, simulation-based training, didactic lectures, and neurosurgery rotations into the UG curriculum.
MeSH term(s)	Humans ; Male ; Neurosurgery/education ; Internship and Residency ; Career Choice ; Neurosurgical Procedures ; Students, Medical ; India ; Surveys and Questionnaires
Language	English
Publishing date	2024-01-04
Publishing country	United States
Document type	Journal Article
ZDB-ID	2534351-8
ISSN	1878-8769 ; 1878-8750
ISSN (online)	1878-8769
ISSN	1878-8750
DOI	10.1016/j.wneu.2023.12.133
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 1159: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article: O48 Urban, Low-Income Teens’ Opinions on Game-Based Classroom Nutrition and Physical Activity Lessons

Desai-Shah, Het / Keenan, Debra

Journal of nutrition education and behavior. 2021 July, v. 53, no. 7

2021

Abstract: A novel concept for educating teens is “game-based learning (GBL)” or “gamification.” GBL is an educational approach evoking motivation and engagement while learning through playing games. International studies have reported successful gamification ... ...

Abstract	A novel concept for educating teens is “game-based learning (GBL)” or “gamification.” GBL is an educational approach evoking motivation and engagement while learning through playing games. International studies have reported successful gamification outcomes, including favorable changes in fruit and vegetable intake, physical activity levels, overall well-being, nutrition knowledge, and peer influence.The purpose of this study was to obtain opinions from urban, low-income, high school-aged teens’ regarding their acceptance of gamified nutrition lessons, as well as to identify what knowledge they retained when this methodology was employed.This was a descriptive study using a purposive, convenience sample of high school-aged participants who were recruited from a cohort that had attended 6 sample lessons at the John F Kennedy High School in Passaic City, and the YMCA in Newark, New Jersey. Data were collected through semi-structured, face-to-face group interviews.Two independent coders performed a thematic analysis of interview transcripts. Findings were discussed until both researchers came to a consensus on the final themes.A total of 25 teens (12 females) participated in 4 focus groups. Participants reported improved knowledge and perceptions of healthy eating and behavior changes they had made regarding their choices at fast-food restaurants, their intake of energy-dense snacks, their reduced intake of sugar-sweetened beverage intake, and overall healthier choices. Teens reported positive attitudes towards gamified classroom activities. They said the lessons were, “fun,” “interactive,” and “creative.” They were particularly fond of the activities that involved music or sound effects, prizes, and the use of technology.These preliminary results suggest that GBL nutrition lessons can lead to an increase in knowledge and improvements in the dietary behaviors of low-income, urban teens over the short-term. Additional research is needed with additional teens and to assess this approach's long-term impacts.
Keywords	descriptive studies ; fruits ; motivation ; music ; nutrition education ; nutrition knowledge ; physical activity ; sugar sweetened beverages ; vegetable consumption ; New Jersey
Language	English
Dates of publication	2021-07
Size	p. S23.
Publishing place	Elsevier Inc.
Document type	Article
ZDB-ID	2080501-9
ISSN	1708-8259 ; 1499-4046
ISSN (online)	1708-8259
ISSN	1499-4046
DOI	10.1016/j.jneb.2021.04.057
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Bonn / Germany

Z 4342: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- See ZB MED holdings
- Order with fees

Article: Fusion of AI techniques to tackle COVID-19 pandemic: models, incidence rates, and future trends.

Shah, Het / Shah, Saiyam / Tanwar, Sudeep / Gupta, Rajesh / Kumar, Neeraj

Multimedia systems

2021 Volume 28, Issue 4, Page(s) 1189–1222

Abstract: The COVID-19 pandemic is rapidly spreading across the globe and infected millions of people that take hundreds of thousands of lives. Over the years, the role of Artificial intelligence (AI) has been on the rise as its algorithms are getting more and ... ...

Abstract	The COVID-19 pandemic is rapidly spreading across the globe and infected millions of people that take hundreds of thousands of lives. Over the years, the role of Artificial intelligence (AI) has been on the rise as its algorithms are getting more and more accurate and it is thought that its role in strengthening the existing healthcare system will be the most profound. Moreover, the pandemic brought an opportunity to showcase AI and healthcare integration potentials as the current infrastructure worldwide is overwhelmed and crumbling. Due to AI's flexibility and adaptability, it can be used as a tool to tackle COVID-19. Motivated by these facts, in this paper, we surveyed how the AI techniques can handle the COVID-19 pandemic situation and present the merits and demerits of these techniques. This paper presents a comprehensive end-to-end review of all the AI-techniques that can be used to tackle all areas of the pandemic. Further, we systematically discuss the issues of the COVID-19, and based on the literature review, we suggest their potential countermeasures using AI techniques. In the end, we analyze various open research issues and challenges associated with integrating the AI techniques in the COVID-19.
Language	English
Publishing date	2021-07-13
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1463005-9
ISSN	1432-1882 ; 0942-4962
ISSN (online)	1432-1882
ISSN	0942-4962
DOI	10.1007/s00530-021-00818-1
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

Order via subito

Details ▾
- Full text online
- Order with fees

Book ; Online: Incremental Learning for Animal Pose Estimation using RBF k-DPP

Nayak, Gaurav Kumar / Shah, Het / Chakraborty, Anirban

2021

Abstract: Pose estimation is the task of locating keypoints for an object of interest in an image. Animal Pose estimation is more challenging than estimating human pose due to high inter and intra class variability in animals. Existing works solve this problem for ...

Abstract	Pose estimation is the task of locating keypoints for an object of interest in an image. Animal Pose estimation is more challenging than estimating human pose due to high inter and intra class variability in animals. Existing works solve this problem for a fixed set of predefined animal categories. Models trained on such sets usually do not work well with new animal categories. Retraining the model on new categories makes the model overfit and leads to catastrophic forgetting. Thus, in this work, we propose a novel problem of "Incremental Learning for Animal Pose Estimation". Our method uses an exemplar memory, sampled using Determinantal Point Processes (DPP) to continually adapt to new animal categories without forgetting the old ones. We further propose a new variant of k-DPP that uses RBF kernel (termed as "RBF k-DPP") which gives more gain in performance over traditional k-DPP. Due to memory constraints, the limited number of exemplars along with new class data can lead to class imbalance. We mitigate it by performing image warping as an augmentation technique. This helps in crafting diverse poses, which reduces overfitting and yields further improvement in performance. The efficacy of our proposed approach is demonstrated via extensive experiments and ablations where we obtain significant improvements over state-of-the-art baseline methods. Comment: Accepted in BMVC 2021
Keywords	Computer Science - Computer Vision and Pattern Recognition
Subject code	004
Publishing date	2021-10-26
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Book ; Online: KD-Lib

Shah, Het / Khare, Avishree / Shah, Neelay / Siddiqui, Khizir

A PyTorch library for Knowledge Distillation, Pruning and Quantization

2020

Abstract: In recent years, the growing size of neural networks has led to a vast amount of research concerning compression techniques to mitigate the drawbacks of such large sizes. Most of these research works can be categorized into three broad families : ... ...

Abstract	In recent years, the growing size of neural networks has led to a vast amount of research concerning compression techniques to mitigate the drawbacks of such large sizes. Most of these research works can be categorized into three broad families : Knowledge Distillation, Pruning, and Quantization. While there has been steady research in this domain, adoption and commercial usage of the proposed techniques has not quite progressed at the rate. We present KD-Lib, an open-source PyTorch based library, which contains state-of-the-art modular implementations of algorithms from the three families on top of multiple abstraction layers. KD-Lib is model and algorithm-agnostic, with extended support for hyperparameter tuning using Optuna and Tensorboard for logging and monitoring. The library can be found at - https://github.com/SforAiDl/KD_Lib.
Keywords	Computer Science - Machine Learning
Publishing date	2020-11-30
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article: O31 Evaluating Success of Paraprofessional Educators in a Pilot Adolescent Classroom Intervention: Rev It Up!

Bastian, Graham E / Desai-Shah, Het / Palmer-Keenan, Debra M

Journal of nutrition education and behavior. 2020 July, v. 52, no. 7

2020

Abstract: To evaluate Rev It Up!, a pilot nutrition education curriculum for teens, when it is taught by either paraprofessional or professional educators.Research shows teens consume low levels of fruits, vegetables, and whole grain foods; and excessive levels of ...

Abstract	To evaluate Rev It Up!, a pilot nutrition education curriculum for teens, when it is taught by either paraprofessional or professional educators.Research shows teens consume low levels of fruits, vegetables, and whole grain foods; and excessive levels of sugar-sweetened beverages and fast foods. Further, they do not meet physical activity (PA) recommendations. Rev It Up!, which was informed by the Theory of Planned Behavior, addresses these issues with teens, an audience at the inception of controlling their own food choices.Urban teens (N=118) in high school health classes participating in the NJ Expanded Food and Nutrition Education Program (EFNEP). Eighty-five were taught by professional staff (2018-2019 school year); the other 33 were taught by paraprofessionals (2019-2020 school year).Rev It Up! is a 10-lesson curriculum that employs gamification to provide nutrition and PA education.The curriculum was assessed using the EFNEP 9-12th Grade Nutrition Education Survey, pre- and post-education.Wilcoxon Signed Rank tests revealed that, pre- to post-intervention, students taught by professionals reported improvements in fruit consumption (P < .01) and restaurant food choices (P = .03). Those taught by paraprofessionals reported significant improvements in sugar-sweetened beverage consumption (P = .04), restaurant food choices (P = .02) and in not letting foods sit out for longer than 2 hours (P < .05); positive changes regarding handwashing behavior approached significance (P = .06). Wilcoxon Rank Sum tests showed significant differences between educator groups regarding changes in fruit consumption (P = .01) and milk consumption (P = .04). No significant PA changes were reported.Rev It Up! shows promise in being a curriculum that paraprofessionals can utilize to improve teen's nutrition behaviors. One limitation is that class periods were often too short to teach PA, which may account for the lack of reported improvements in PA behaviors. Future curriculum revisions should ensure that both nutrition and PA activities can be adequately addressed during allotted class periods.Expanded Food and Nutrition Education Program.
Keywords	adolescents ; curriculum ; education programs ; fruit consumption ; hand washing ; milk consumption ; nutrition education ; physical activity ; restaurants ; sugar sweetened beverages ; surveys ; teachers ; whole grain foods
Language	English
Dates of publication	2020-07
Size	p. S15.
Publishing place	Elsevier Inc.
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	2080501-9
ISSN	1708-8259 ; 1499-4046
ISSN (online)	1708-8259
ISSN	1499-4046
DOI	10.1016/j.jneb.2020.04.043
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Bonn / Germany

Z 4342: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- See ZB MED holdings
- Order with fees

Article: P89 “Karmically Awesome Pairings”: A Qualitative Analysis of SNEB Mentorship Program Participant Feedback Surveys

Williams, April / Gupta, Kritika / Bastian, Graham E. / Desai-Shah, Het / Qamar, Zubaida / Patton-Lopez, Megan

Journal of nutrition education and behavior. 2021 July, v. 53, no. 7

2021

Abstract: Mentorship programs in professional organizations can benefit both mentors and mentees by providing support, community, networking, and knowledge-sharing. The current virtual environment provides a novel opportunity to expand the dimensions of the ... ...

Abstract	Mentorship programs in professional organizations can benefit both mentors and mentees by providing support, community, networking, and knowledge-sharing. The current virtual environment provides a novel opportunity to expand the dimensions of the mentorship program for years ahead.To conduct a secondary qualitative analysis of survey responses from former SNEB Mentorship Program participants as part of formative research for the development of future programming.Data were obtained from satisfaction surveys completed by mentors and mentees who participated in the mentorship program at SNEB Annual Conferences between 2012-14 and 2016-17.Two independent coders performed an inductive thematic analysis of responses to open-ended survey questions to determine program characteristics associated with participants' satisfaction to inform program expansion. Findings were reviewed by 2 additional researchers and final themes were agreed upon by all the researchers.Themes touting program benefits emerged from an analysis of survey responses (n = 112) included “flexibility,” “networking”, “support,” “welcoming personalities of mentors,” “impact of the program,” and “appropriate matching of mentors and mentees.” “Structure” and “communication” were themes that emerged from coding both mentor and mentee responses (n = 85) to inquiry about program improvements. Mentees desired longer mentorship periods, whereas mentors proposed having a designated session to meet and greet the mentees and having substitute mentors available.The program was well-received by participants. Both mentors and mentees expressed varying degrees of interest in expanding the mentorship program beyond the conference. Future mentorship programs should incorporate elements of flexibility but structure in communication between the 2 parties to have a more meaningful impact on the mentor-mentee relationship.
Keywords	nutrition education ; qualitative analysis ; surveys
Language	English
Dates of publication	2021-07
Size	p. S65.
Publishing place	Elsevier Inc.
Document type	Article
ZDB-ID	2080501-9
ISSN	1708-8259 ; 1499-4046
ISSN (online)	1708-8259
ISSN	1499-4046
DOI	10.1016/j.jneb.2021.04.148
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Bonn / Germany

Z 4342: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- See ZB MED holdings
- Order with fees

Book ; Online: Safe Planning for Self-Driving Via Adaptive Constrained ILQR

Pan, Yanjun / Lin, Qin / Shah, Het / Dolan, John M.

2020

Abstract: Constrained Iterative Linear Quadratic Regulator (CILQR), a variant of ILQR, has been recently proposed for motion planning problems of autonomous vehicles to deal with constraints such as obstacle avoidance and reference tracking. However, the previous ... ...

Abstract	Constrained Iterative Linear Quadratic Regulator (CILQR), a variant of ILQR, has been recently proposed for motion planning problems of autonomous vehicles to deal with constraints such as obstacle avoidance and reference tracking. However, the previous work considers either deterministic trajectories or persistent prediction for target dynamical obstacles. The other drawback is lack of generality - it requires manual weight tuning for different scenarios. In this paper, two significant improvements are achieved. Firstly, a two-stage uncertainty-aware prediction is proposed. The short-term prediction with safety guarantee based on reachability analysis is responsible for dealing with extreme maneuvers conducted by target vehicles. The long-term prediction leveraging an adaptive least square filter preserves the long-term optimality of the planned trajectory since using reachability only for long-term prediction is too pessimistic and makes the planner over-conservative. Secondly, to allow a wider coverage over different scenarios and to avoid tedious parameter tuning case by case, this paper designs a scenario-based analytical function taking the states from the ego vehicle and the target vehicle as input, and carrying weights of a cost function as output. It allows the ego vehicle to execute multiple behaviors (such as lane-keeping and overtaking) under a single planner. We demonstrate safety, effectiveness, and real-time performance of the proposed planner in simulations.
Keywords	Computer Science - Robotics ; Electrical Engineering and Systems Science - Systems and Control
Subject code	629
Publishing date	2020-03-05
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article: An Autoencoder Based Approach to Simulate Sports Games

Vaswani, Ashwin / Ganguly, Rijul / Shah, Het / SharanRanjit, S / Pandit, Shrey / Bothara, Samruddhi

Abstract: Sports data has become widely available in the recent past. With the improvement of machine learning techniques, there have been attempts to use sports data to analyze not only the outcome of individual games but also to improve insights and strategies. ... ...

Abstract	Sports data has become widely available in the recent past. With the improvement of machine learning techniques, there have been attempts to use sports data to analyze not only the outcome of individual games but also to improve insights and strategies. The outbreak of COVID-19 has interrupted sports leagues globally, giving rise to increasing questions and speculations about the outcome of this season's leagues. What if the season was not interrupted and concluded normally? Which teams would end up winning trophies? Which players would perform the best? Which team would end their season on a high and which teams would fail to keep up with the pressure? We aim to tackle this problem and develop a solution. In this paper, we proposeUCLData, which is a dataset containing detailed information of UEFA Champions League games played over the past six years. We also propose a novel autoencoder based machine learning pipeline that can come up with a story on how the rest of the season will pan out.
Keywords	covid19
Publisher	ArXiv
Document type	Article
Database	COVID19

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

To top

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Kategorien

Inter-library loan at ZB MED