26 research outputs found
Revised National Tuberculosis Control Program regimens with and without directly observed treatment, short-course: A comparative study of therapeutic cure rate and adverse reactions
No full textObjective: To compare the therapeutic cure rate and adverse reactions in the regimens of the Revised National Tuberculosis Control Program (RNTCP) with directly observed treatment, short-course (DOTS) and without DOTS. Materials and Methods: Fifty patients in the DOTS regimen and 50 patients in the non-DOTS regimen were enrolled in the study. All the participants were asked to come regularly for 3 consecutive days for sputum collection, and the sputum samples were examined for acid-fast bacilli. If tuberculosis (TB) was confirmed, the disease status was confirmed through a chest X-ray (PA view). The participants were monitored for adverse events arising from the use of anti-TB drugs for the next 6 months. Results: The TB cure rates for RNTCP with DOTS and RNTCP with non-DOTS were 80% and 66%, respectively. The DOTS therapy had a better cure rate for radiologically positive, sputum-positive cases compared with the non-DOTS regimen group. The non-DOTS treatment regimen had significantly increased numbers of adverse events in the hepatic and hematinic systems. Conclusion: The DOTS regimen has higher cure rates and a lower incidence of adverse reactions compared with the non-DOTS regimen
Research Report 2 : Optogenetics: HT4 cells can be stably transfected using AAV to express Opsin from carbydea rastonii in order to create light activation of the cAMP pathway
No full textDe begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie.
The supervisor and/or the author did not authorize public publication of the thesis.
Research Report 1 : Programming effects due to dietary alteration of ω3:ω6 polyunsaturated fatty acids ratio in pregnant mice is associated with persisting epigenetic changes in the adult male offspring.
No full textDe begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie.
The supervisor and/or the author did not authorize public publication of the thesis.
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UBIPose
No full textThe UBIPose dataset is intended for the evaluation of head pose estimation algorithms in natural and challenging scenarios. This dataset provides the annotation of the positions of 6 facial landmarks (two corners of two eyes, nasal root and nose tip) in 14.4 K frames and 3D head poses (roll, pitch, yaw) in 10.4 K frames.
Description of the Corpus
The UBIPose dataset relies on videos from the UBImpressed dataset, which has been captured to study the performance of students from the hospitality industry at their workplace. The role play happens at a reception desk, where students interact with a research assistant who plays the role of a customer. Students and clients are recorded using a Kinect 2 sensor (one per person). In this free and natural setting, large head poses and sudden head motions are frequent as people are observed from a relatively large distance, and people are mainly seen from the side. Idiap Research Institute shares this dataset to enable the evaluation of head pose estimation algorithms in free and challenging scenarios.
Out of the 160 interactions recorded in the UBImpressed dataset, we selected 32 videos. These videos are divided as follows:
22 videos (with 22 different persons) are provided as evaluation data. In 10 of these videos, 30-50 second clips were cut from the original videos and all frames were annotated. The other 12 videos were fully annotated at one frame persecond. This allowed to gather a large diversity of situations. In total, this amounts to 14.4K frames. The labels we provide are the positions of 6 facial landmarks (two corners of two eyes, nasal root and nose tip) and 3D head poses (roll, pitch, yaw).
10 additional videos can be used for processing and illustrating algorithmic results. These videos are unannotated and intended for the visualization of methods in scientific dissemination activities.
Dataset content
The dataset contains both the orignal video files to be processed (depth and RGB), the ground truth files (including those used for reconstruction and exploited for landmark localization evaluations), and code to evaluate performance. More precisely, the list is as follows:
the RGB videos of the 22 test videos from 22 different users used in the paper for performance evaluation;
the synchronized depth videos of these 22 test videos;
the audio frame indices of these 22 test videos;
the annotated landmarks for 14.4K frames;
the validated inferred head poses for 10.4K frames;
the full output results of our method;
software code to allow computing the performance reported in the paper, as well as performance from produced pose results.
videos for display: 10 additional pairs of RGB and synchronized depth videos can be used for processing and illustrating the algorithm results. These videos are unannotated and only intended for the visualization of methods in public dissemination activities.
References
@inproceedings{Muralidhar:2016:TJB:2993148.2993191,
author = {Muralidhar, Skanda and Nguyen, Laurent Son and Frauendorfer, Denise and Odobez, Jean-Marc and Schmid Mast, Marianne and Gatica-Perez, Daniel},
title = {Training on the Job: Behavioral Analysis of Job Interviews in Hospitality},
booktitle = {Proceedings of the 18th ACM International Conference on Multimodal Interaction},
series = {ICMI 2016},
year = {2016},
location = {Tokyo, Japan},
pages = {84--91},
numpages = {8},
publisher = {ACM},
address = {New York, NY, USA}
}
@inproceedings{Yu:PAMI:2018,
author = {Yu, Yu and Kenneth Alberto and Funes Mora and Odobez, Jean-Marc},
title = {HeadFusion: 360 Head Pose tracking combining 3D Morphable Model and 3D Reconstruction},
booktitle = {IEEE Transaction on Pattern Analysis and Maschine Intelligence (PAMI)},
year = {2018}
Augmented Image Classification using Image Registration Techniques
No full textabstract: Advancements in computer vision and machine learning have added a new dimension to remote sensing applications with the aid of imagery analysis techniques. Applications such as autonomous navigation and terrain classification which make use of image classification techniques are challenging problems and research is still being carried out to find better solutions. In this thesis, a novel method is proposed which uses image registration techniques to provide better image classification. This method reduces the error rate of classification by performing image registration of the images with the previously obtained images before performing classification. The motivation behind this is the fact that images that are obtained in the same region which need to be classified will not differ significantly in characteristics. Hence, registration will provide an image that matches closer to the previously obtained image, thus providing better classification. To illustrate that the proposed method works, naïve Bayes and iterative closest point (ICP) algorithms are used for the image classification and registration stages respectively. This implementation was tested extensively in simulation using synthetic images and using a real life data set called the Defense Advanced Research Project Agency (DARPA) Learning Applied to Ground Robots (LAGR) dataset. The results show that the ICP algorithm does help in better classification with Naïve Bayes by reducing the error rate by an average of about 10% in the synthetic data and by about 7% on the actual datasets used.Dissertation/ThesisM.S. Electrical Engineering 201
Drop coalescence in turbulent liquid-liquid dispersions
No full textThe evolution of drop size spectra of a purely coalescing system can be predicted using the population balance equation provided the size specific coalescence frequencies of drop pairs are available. Small amounts of surface active matter can have a profound effect on the behavior of a dispersion. A proper understanding of the dependence of coalescence frequencies on physical parameters such as drop-pair sizes, interfacial tension, turbulence energy dissipation and surface viscosities is vital for the control of drop size distributions to meet delicate stipulations in chemical reaction conversion and selectivity, product quality and stability, etc. in many applications. The coalescence frequency is written as the product of the collision frequency and the coalescence efficiency. In the past, models have been developed to derive expressions for the coalescence efficiency based on severe assumptions and as such do not represent a realistic picture of the coalescence process. The coalescence of drops is viewed as the drainage of a continuous phase film separating the drops under the action of forces arising from the contiguous turbulent flow field. A detailed time-scale analysis of competing dynamical processes is employed to derive realistic descriptions of the film drainage process. Such a timescale analysis shows the force acting on the drop pair is in general a random process. The effects of different physical parameters are systematically analyzed by developing models corresponding to limiting situations. Analysis of the models reveals that drop deformation and interfacial mobility influence the coalescence process most significantly. The coalescence efficiency can show reversed dependencies on physical parameters in different situations. The models yield functional forms for the efficiency in terms of dimensionless groups with coefficients to be identified from transient coalescence data. Dynamic simulations of agglomerating populations are performed using expressions of the coalescence efficiency derived from different models. The results indicate that different drop size spectra differ quite significantly emphasizing the need for detailed models for drop coalescence. These size spectra are also investigated for self-preserving behavior by a method developed in this thesis. Self-preserving size spectra present an alternative approach to arrive at the coalescence frequency by the inverse problem approach. (Abstract shortened with permission of author.
Design, Fabrication And Testing Of A Gadget For Making Twisted Snack Product
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Optimization of YbBa2Cu3Oy Thick Film Formation on MgO Substrates
No full textAbstractWe optimized the formation process of the YbBa2Cu3Oy superconducting thick film prepared from the mixture of Yb2BaO4, BaCuO2, and CuO. Thick films of this composite were sintered at various temperatures between 800 ̊C and 1025 ̊C and held for 10minutes in air, then rapidly quenched in liquid nitrogen. The samples were characterized by XRD, SEM, and magnetization measurements. The XRD analysis indicated that the Yb-123 phase started to form above 800 ̊C, with optimum at 825 ̊C. At even higher temperatures (900 ̊C and 975 ̊C) the secondary phase and liquid phase predominantly formed. Based on these results, we fabricated good quality YbBa2Cu3Oy thick films on an MgO substrate utilizing a double step heating process. According to XRD measurements the Yb-123 films were c-axis oriented, with Tc (onset) 87K, and high critical current density around 24 kA/cm2 at 77K, H//c-axis. The Yb-123 superconducting thick films on the MgO substrates are considered as the first step to the production of silver sheathed tapes, an advanced analogue to the Bi-2223 system
