87 research outputs found
A novel database of Teenager's spontaneous facial expressions
No full text<p>This dataset presents a comprehensive collection of spontaneous facial expressions obtained from 14 teenagers, encompassing six fundamental emotions: Anger, Disgust, Fear, Happy, Sad, and Surprise. With a total of 314 videos, the dataset comprises approximately 59,000 emotional frames, including both emotional expressions and neutral states. Recorded using an HD Webcam with 1080P resolution and a frame rate of 30 fps, the dataset captures authentic and unposed facial expressions, distinguishing it from existing databases. Its diverse subjects from various backgrounds enable cross-cultural and ethnic studies of facial expressions and emotions. Addressing the scarcity of similar datasets focused on teenagers, the dataset underwent thorough validation by seven validators, achieving a 64% average accuracy in emotion recognition. The dataset's potential applications range from enhancing facial expression recognition systems to investigating the impact of facial and body movements, while also providing a valuable resource for benchmarking and comparison within the vision community.</p>The dataset consists of three zip files. The first file, named "Emo_Clips," contains a collection of spontaneous emotional expressions displayed by teenagers. The second file, named "Figures_Validation," includes statistical data pertaining to the curation and validation of the dataset. The third file is a folder named "Sample Consent Form," which contains a sample consent form of one of the subjects
Mineralogy-based global anthropogenic combustion-iron emission inventory
No full textTotal and soluble iron modulate ocean biogeochemistry and global nitrogen and carbon cycle in over 40% of global ocean. The understanding of the current and future changes in oceanic productivity can be improved by understanding and constraining the atmospheric inputs of iron. Models generally agree with observations for total and soluble atmospheric iron concentrations over oceans except in the iron limited Southern Ocean where they underestimate by two to five orders of magnitudes. Anthropogenic combustion-iron emissions are thought to be the missing link in some of the ocean regions and are currently underestimated in inventories along with a poor fuel-based solubility representation approach in contrast to dust-iron emissions which are better constrained and have mineralogy-based solubility approach. Here we show that anthropogenic combustion-iron emissions can be about 1 Tg Fe/yr in the fine fraction, 10 times higher than all previous inventories. A large part of the difference is attributed to metal smelting which was not accounted for in previous inventories. Anthropogenic combustion-iron contributes 30-50% of the total and soluble iron to the iron limited North and Equatorial Pacific Ocean and less than 10% to the Southern Ocean. Modeled estimates agree with observations everywhere except in the Southern Ocean where the underestimation persists even with the realistic maximum anthropogenic emissions. For the first time, we represent anthropogenic combustion-iron as a function of its mineral components and transition from a fuel-specific solubility to a mineralogy-based solubility approach. We find that increasing complexity in representing anthropogenic combustion-iron solubility does not necessarily improve model-observation comparison.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-08-01The student, Sagar Rathod, accepted the attached license on 2019-07-17 at 17:21.The student, Sagar Rathod, submitted this Thesis for approval on 2019-07-17 at 17:32.This Thesis was approved for publication on 2019-07-18 at 11:29.DSpace SAF Submission Ingestion Package generated from Vireo submission #14360 on 2019-11-26 at 14:04:22Made available in DSpace on 2019-11-26T20:59:50Z (GMT). No. of bitstreams: 2
RATHOD-THESIS-2019.pdf: 2590652 bytes, checksum: 65f0b086aded50387db23d1b7e679ae9 (MD5)
LICENSE.txt: 4209 bytes, checksum: 5f42174f387e82d24a5a9842aca6b307 (MD5)
Previous issue date: 2019-07-18Embargo set by: Seth Robbins for item 113105
Lift date: 2021-11-26T20:59:54Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 113105 on 2021-11-27T10:15:16Z
Understanding the origins of stickiness in wheat flour tortillas and devising strategies to reduce it
No full textThis thesis aimed to determine the factors which affect stickiness in wheat flour tortilla products based on a phase/state-change approach and measurement of water activity and surface properties. Strategies were considered to reduce stickiness of flour tortillas by adding GRAS ingredients and modifying processing conditions.
Commercial wheat tortillas with a wide range of stickiness were selected and equilibrated to different water activity levels (0.12-0.97). Moisture sorption isotherms were developed. Differential scanning calorimetry and mechanical spectroscopy were used to characterize the phase behavior and freezable water, wide-angle x-ray scattering to understand the effect of crystallinity, contact angle measurements to determine the surface hydrophobicity. An objective instrumental test technique was developed using a texture analyzer to quantify the stickiness in tortilla samples. X-ray microtomography was used to measure tortilla cellularity. Tortillas were prepared with Xanthan gum, carboxymethylcellulose, glycerol and propylene glycol. To understand the effect of processing conditions on stickiness, tortillas were prepared using different combinations of dough resting times, baking temperatures and cooling times after baking.
Sticky tortilla showed lower glass transition temperature compared to non-sticky tortillas but both were in rubbery state at room temperature. Higher product Aw resulted in increase in surface energy which in turn caused an increase in instrumental stickiness scores as hypothesized. The polar component of surface energy was found to have a good correlation with stickiness. The sticky tortillas showed low crystallinity as compared to non-sticky tortillas. Tortillas containing 0.5 % gums and 4 % glycerol showed increased water retention, decreased water activity, reduction in surface free energy and lower freezable water. Addition of glycerol reduced the water activity from 0.94 to 0.91. Tortillas baked at 450° F were stickier than tortillas baked at 350°. Rupture force to extend tortillas increases with increase in storage time and temperature. Storage of tortillas at lower temperatures retains freshness as was shown by reduced rupture force values.M.S.Includes bibliographical references (p. 134-136)
Budhan Stories S1E6: Children Speak about Corona
No full textEpisode 6 of Season 1 contains Chharanagar children's expression about how they are pursuing Corona in their own way. What is the impact of lockdown, school close down, staying at home, over use of phone, online education etc. Directed (Author) by: Budhan Theatre Team. Participants: Dakxin Chhara, Atish Indrekar, Ruchika Kodekar, Chetna Rathod, Kushal Batunge, Keyur Bajrange, Anish Garange, Siddharth Garange, Alice Tilche, Akshay Khanna, Yashodara Udupa, Chharanagar Children, Sargam Rathod, Shubham Bajrange, Supplementary materials include poster and subtitles.</p
Exploring Author Profiling for Fake News Detection
No full textThe proliferation of online media allows for the rapid dissemination of unmoderated news, unfortunately including fake news. The extensive spread of fake news poses a potent threat to both individuals and society. This paper focuses on designing author profiles to detect authors who are primarily engaged in publishing fake news articles. We build on the hypothesis that authors who write fake news repeatedly write only fake news articles, at least in short-term periods. Fake news authors have a distinct writing style compared to real news authors, who naturally want to maintain trustworthiness. We explore the potential to detect fake news authors by designing authors’ profiles based on writing style, sentiment, and co-authorship patterns. We evaluate our approach using a publicly available dataset with over 5000 authors and 20000 articles. For our evaluation, we build and compare different classes of supervised machine learning models. We find that the K-NN model performed the best, and it could detect authors who are prone to writing fake news with an 83% true positive rate with only a 5% false positive rate.</div
SYNERGISTIC ANTICANDIDAL ACTIVITY OF TWO TERMINALIA SPECIES WITH POLYENE AND AZOLE GROUP OF ANTIBIOTICS AGAINST MULTIDRUG-RESISTANT CLINICAL ISOLATES OF CANDIDA
No full textObjectives: The aim of the present study was to evaluate synergistic anticandidal activity of two Terminalia species with polyene and azole group of antibiotics against multidrug-resistant clinical isolates of Candida.Methods: The synergistic effect of ethanol extract of leaf of Terminalia cattapa. and Terminalia chebula with six standard antibiotics, namely, amphotericin B, nystatin, fluconazole (FLC), ketoconazole (KT), clotrimazole (CC), and itraconazole (IT) was evaluated against the clinical isolates by disk diffusion assay.Results: The synergistic activity of the antibiotics with ethanol extract of T. chebula was better than with that of T. cattapa. T. chebula ethanol extract increased the anticandidal effect of azole antibiotics FLC and KT, while it had a less synergistic effect on CC and IT.Conclusion: Therefore, FLC/KT plus ethanol extract of T. chebula can be an interesting and alternative source of anticandidal agent against Candida species
EVALUATION OF ANTIMICROBIAL POTENTIAL OF DIFFERENT SOLVENT EXTRACTS OF SOME MEDICINAL PLANTS OF SEMI-ARID REGION
No full text  Objective: Infections caused by microorganisms that have become resistant to commonly used antibiotics have become a major nuisance globally. The problem of microbial resistance is increasing rapidly, and therefore there is an urgent need to develop novel antimicrobial agents from a natural source. The aim of the present study was to evaluate the antimicrobial activity of different solvent extracts of aerial part of Alysicarpus procumbens, Fimbristylis dichotoma, Saccharum spontaneum, Suaeda nigra, and Typha angustifolia against pathogenic microorganisms.Methods: The extraction was done by individual cold percolation method using five solvents of different polarity, viz., petroleum ether, ethyl acetate, acetone, methanol, and water (aqueous). The antimicrobial activity was done by agar well diffusion method against Gram-positive and Gram-negative bacteria and fungi.Results: All the plant solvent extracts showed varied level of antimicrobial activity against different microorganisms. All extracts of five plants showed better antibacterial activity than antifungal activity; Gram-positive bacteria were more susceptible than Gram-negative bacteria.Conclusion: The polarity of solvent greatly influences extractive yield and antimicrobial activity of medicinal plants. The best activity was shown by solvent extracts of S. nigra. Hence, it can be considered as good source of antimicrobial agents
SYNERGISTIC ANTICANDIDAL ACTIVITY OF TWO TERMINALIA SPECIES WITH POLYENE AND AZOLE GROUP OF ANTIBIOTICS AGAINST MULTIDRUG-RESISTANT CLINICAL ISOLATES OF CANDIDA
No full textObjectives: The aim of the present study was to evaluate synergistic anticandidal activity of two Terminalia species with polyene and azole group of antibiotics against multidrug-resistant clinical isolates of Candida.Methods: The synergistic effect of ethanol extract of leaf of Terminalia cattapa. and Terminalia chebula with six standard antibiotics, namely, amphotericin B, nystatin, fluconazole (FLC), ketoconazole (KT), clotrimazole (CC), and itraconazole (IT) was evaluated against the clinical isolates by disk diffusion assay.Results: The synergistic activity of the antibiotics with ethanol extract of T. chebula was better than with that of T. cattapa. T. chebula ethanol extract increased the anticandidal effect of azole antibiotics FLC and KT, while it had a less synergistic effect on CC and IT.Conclusion: Therefore, FLC/KT plus ethanol extract of T. chebula can be an interesting and alternative source of anticandidal agent against Candida species.</jats:p
Evaluation of anti-cancer activity of Brinzolamide with special emphasis on blood cancer (Polycethemia Rubra Vera) in vivo
No full text- …
