1,198 research outputs found
First person – Gaurav Barve
No full textABSTRACT
First Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Gaurav Barve is the first author on ‘Septins are involved at the early stages of macroautophagy in S. cerevisiae’, published in Journal of Cell Science. Gaurav is a PhD student in the laboratory of Ravi Manjithaya at Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India, investigating the role of septins in autophagy.</jats:p
DehazeGAN: Underwater Haze Image Restoration using Unpaired Image-to-image Translation
No full textIn this paper, we propose a Generative Adversarial Networks (GAN)-based image restoration method. Our method adopts an unpaired image-to-image translation network to learn the characteristics of underwater haze images. To enhance restoration, we propose multiple cyclic consistency losses that capture the detail of images and suppress distortion image translation. To prepare unpaired images of clean and degraded scenes, we collected images from Flickr and filter out false images using image characteristics. The proposed network is tested on public underwater images and shows promising results under severe image distortion
Soil quality assessment across different stands in tropical moist deciduous forests of Nagaland, India
No full textTo analyze the relationship between the management of three forest stand plantations and soil quality in the Dimapur district of the Northeastern Himalayan region, India, three forest soil profiles, covered by different species stands, at three depths were tested for 13 physical and chemical variables. Only four of these variables (electric conductivity, bulk density exchangeable Mg and available P) were included in a minimum data set, after using a varimax rotation algorithm in a principal component analysis, and subsequently used to calculate a soil quality index (SQI). Results showed higher SQIs in the surface layers (0-20cm depth) than in the deeper ones. Average weighed SQI varied significantly (P<0.05) through the three considered forest sites, with the lowest value at site FS3. These findings reveal that the approach used here is suitable for preliminary screening of the impact of a forestry species on soil, to aid in species selection and improve soil health for afforestation and reforestation projects
Linguistic representations of visual events
No full textThis thesis explores the nature of linguistic representations that correspond to verbal descriptions of events. In two experiments, participants watched captioned videos and decided whether the captions accurately described the videos. In the videos, two geo-metric shapes moved around the screen. [In half of the trials, the geometric shapes had "eyes."] The verbs used to describe the shapes' actions were either source-to-goal verbs (chase, follow, trail ) or goal-to-source verbs (flee, lead, guide). Sometimes the captions were active sentences (e.g., The circle is chasing the square) and sometimes passive sentences (The square is chased by the circle). Analyses of participants' reaction times indicate that the level of linguistic and visual detail encoded reflected the complexity of the task participants had to perform. These results are consistent with "good enough" models of language processing (e.g., Ferreira and Henderson (2007)) in which people process sentences heuristically or syntactically depending on the nature of the task they must perform.M.S.Includes bibliographical referencesby Gaurav Kharkwa
DHSGAN: An End to End Dehazing Network for Fog and Smoke
No full textIn this paper we propose a novel end-to-end convolution de- hazing architecture, called De-Haze and Smoke GAN (DHSGAN). The model is trained under a generative adversarial network framework to effectively learn the underlying distribution of clean images for the generation of realistic haze-free images. We train the model on a dataset that is synthesized to include image degradation scenarios from varied conditions of fog, haze, and smoke in both indoor and outdoor settings. Experimental results on both synthetic and natural degraded images demonstrate that our method shows significant robustness over different haze conditions in comparison to the state-of-the-art methods. A group of studies are conducted to evaluate the effectiveness of each module of the proposed method
sj-docx-1-ggm-10.1177_23337214231214217 – Supplemental material for Relationship Between Cognitive Impairment and Depression Among Middle Aged and Older Adults in Primary Care
No full textSupplemental material, sj-docx-1-ggm-10.1177_23337214231214217 for Relationship Between Cognitive Impairment and Depression Among Middle Aged and Older Adults in Primary Care by Alex D. Federman, Jacqueline Becker, Fernando Carnavali, Monica Rivera Mindt, Dayeon Cho, Gaurav Pandey, Lili Chan, Laura Curtis, Michael S. Wolf and Juan P. Wisnivesky in Gerontology and Geriatric Medicine</p
Performance Evaluation of Photonics-Based Coherent MIMO Radar Systems for Maritime Surveillance
No full textMultiple-input multiple-output (MIMO) radars offer significant advantages over conventional standalone radars in terms of target detection and localization capabilities. However, to fully exploit their potential, such systems require excellent time and phase synchronization among the central unit and the radar heads. Only recently, thanks to microwave photonics (MWP) techniques, it has been possible to develop the first coherent MIMO radar demonstrators. In this paper, a simulation tool in MATLAB programming language is proposed to model coherent MIMO radars based on MWP techniques in maritime surveillance applications. Moreover, a novel approach for estimating the radar cross section of extended maritime targets is presented. The system performance in co-located and distributed MIMO configuration, as well as in single- and multi-band operations, is evaluated by means of relevant key performance indicators (KPIs). Simulations are carried out in two close-to-reality scenarios. In the first, a co-located MIMO radar is mounted on top of a patrolling vessel. In the second, a distributed MIMO radar is deployed inside a port. The proposed KPIs are analyzed in terms of both geometric and frequency diversities of the system, laying the foundations for general system optimization criteria valid in any given surveillance application
ROCK2 and MYLK variants and high-altitude pulmonary edema
No full textGaurav Sikri, Srinivasa Bhattachar Department of Physiology, Armed Forces Medical College, Pune, Maharashtra, IndiaWe have read the article titled “ROCK2 and MYLK variants under hypobaric hypoxic environment of high altitude associate with high altitude pulmonary edema and adaptation” by Pandey et al1 with profound interest. View the original paper by Pandey and colleagues
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