2,566 research outputs found
The influence of semantics on the visual processing of natural scenes
No full textA long standing question in cognitive science has been: is visual processing completely encapsulated and separate from semantics or can visual processing be influenced by semantics? We address this question in two ways: 1) Do pictures and words share similar representations and 2) Does semantics modulate visual processing. Using multi-voxel pattern analysis (MVPA) and fMRI decoding we examined the similarity of neural activity across pictures and words that describe natural scenes. A whole brain MVPA searchlight revealed multiple brain regions in the occipitotemporal, posterior parietal and frontal cortices that showed transfer from pictures to words and from words to pictures. In addition to sharing similar representations across pictures and words, can words dynamically influence the processing of visual stimuli? Using Event Related Potentials (ERPs) and good and bad exemplars of natural scenes, we show that top-down expectation, initiated via a category cue (e.g. the word ‘Beach’), dynamically influences the processing of natural scenes. Good and bad exemplars first evoked differential ERPs in the time-window 250-350 ms from stimulus onset, with the bad exemplars showing greater negativity over frontal electrode sites, when the cue matched the image. Interestingly, this good/bad effect disappeared when the images were mismatched to the cue. Overall, these studies taken together, provide evidence for the influence of semantics on the visual processing of natural scenes.Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-09-29 without embargo termsThe student, Manoj Kumar, accepted the attached license on 2017-06-19 at 12:13.The student, Manoj Kumar, submitted this Dissertation for approval on 2017-06-19 at 12:22.This Dissertation was approved for publication on 2017-06-28 at 13:19.DSpace SAF Submission Ingestion Package generated from Vireo submission #11238 on 2017-09-29 at 11:26:45Made available in DSpace on 2017-09-29T16:37:58Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-06-2
Dataset of Chemiluminescent Chemosensor-Based Assay
No full text<p>This dataset allows to analyze the results in the study of the chemiluminescent chemosensor-based assay by Nilima Manoj Kumar, Pierre Picchetti, Changming Hu, Laura M. Grimm, and Frank Biedermann.</p>
<p>When using the data, please cite the corresponding paper. </p>
Driverless Metro Train Shuttle between the Stations using LabVIEW
No full textThe aim of this paper is to illustrate an improvement in the existing technology used in metro train movements. This train is equipped with a controller and an IR Object sensor that enables the automatic stopping of the train from one station to another station. This paper presents the development process of a prototype for a driverless train implemented using a RASPBERRY PI controller. Simulation for the systems circuits is done with LabVIEW software. The hardware circuit is interfaced with actuators and sensors for automation purposes using LabVIEW. A hardware comprised of IR sensor, RASPBERRI PI areassembled in a prototype train. A LabVIEW CODE is used for programming the controller. A Smoke sensor is also interfaced to detect any smoke or gas present in the train. Manoj Kumar M | Hemavathi.R | H. Prasanna Kumar "Driverless Metro Train Shuttle between the Stations using LabVIEW" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: https://www.ijtsrd.com/papers/ijtsrd7088.pd
Cu/Zn Superoxide Dismutase Typical for Familial Amyotrophic Lateral Sclerosis Increases the Vulnerability of Mitochondria and Perturbs Ca2+ Homeostasis in SOD1(G93A) Mice
No full textAmyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by the selective loss of defined motoneuron populations in the brainstem and spinal cord. Although low cytosolic calcium ([Ca2+](i)) buffering and a strong interaction between metabolic mechanisms and [Ca2+](i) have been associated with selective motoneuron vulnerability, the underlying cellular mechanisms are barely understood. To elucidate the underlying molecular events, we used rapid chargecooled device imaging to evaluate Ca2+ signaling and metabolic signatures in the brainstem slices of SOD1(G93A) mice, the mouse model of human ALS, at 8 to 9 and 14 to 15 weeks of age, corresponding to the presymptomatic and symptomatic stages of motor dysfunction, respectively, and compared the results with corresponding age-matched wild-type littermates. We also monitored the mitochondrial membrane potential (Delta(Psi m)) of brainstem motoneurons, a valuable tool for characterizing the metabolic signature of intrinsic energy profiles and considered to be a good experimental measure for monitoring energy metabolism in cells. We found that different pharmacological interventions substantially disrupt Delta(Psi m) in SOD1(G93A) motoneurons during the symptomatic stage. Furthermore, we investigated the impact of impaired mitochondrial mechanisms on [Ca2+](i) regulation by using the membrane-permeable indicator fura-acetoxy methyl ester. Taken together, the results indicate that mitochondrial disruptions are critical elements of SOD1(G93A)-mediated motoneuron degeneration in which selective motoneuron vulnerability results from a synergistic accumulation of risk factors, including the disruption of electrochemical potential, low Ca2+ buffering, and strong mitochondrial control of [Ca2+](i). The stabilization of mitochondriarelated signal cascades may represent a useful strategy for clinical neuroprotection in ALS
sj-doc-1-cri-10.1177_25160435231190192 - Supplemental material for Assessment of drug-related problems associated with narrow therapeutic index drugs: A prospective cohort study
No full textSupplemental material, sj-doc-1-cri-10.1177_25160435231190192 for Assessment of drug-related problems associated with narrow therapeutic index drugs: A prospective cohort study by Charmi Manoj Chhatrala, Bhanu Kumar M, Ramesh Madhan, Sri Harsha Chalasani, Jehath Syed and Nikita Pal in Journal of Patient Safety and Risk Management</p
Effects of frustration on fluctuation-dissipation relations
No full textWe study numerically the aging properties of the two-dimensional Ising model with quenched disorder considered in our recent paper [Phys. Rev. E 95, 062136 (2017)2470-004510.1103/PhysRevE.95.062136], where frustration can be tuned by varying the fraction of antiferromagnetic interactions. Specifically, we focus on the scaling properties of the autocorrelation and linear response functions after a quench of the model to a low temperature. We find that the interplay between equilibrium and aging occurs differently in the various regions of the phase diagram of the model. When the quench is made into the ferromagnetic phase the two-time quantities are made by the sum of an equilibrium and an aging part, whereas in the paramagnetic phase these parts combine in a multiplicative way. Scaling forms are shown to be obeyed with good accuracy, and the corresponding exponents and scaling functions are determined and discussed in the framework of what is known in clean and disordered systems
Colorimetric and highly selective "turn-on" fluorescent anion chemosensors with excited state proton transfer
No full text2-(3-Hydroxy-naphthalen-2-yl)-benzo[d][1,3]oxazin-4-one (HNBO), 3-hydroxy-naphthalene-2-carboxylic acid (2-heptylcarbamoyl-phenyl)amide (HNAHPA) and 2-[2-(2-hydroxy-phenyl)-benzooxazol-6-ylmethylene]-malononitrile (HBODC) are shown to be fluorescent and colorimetric anion chemosensors with high selectivity for F- over Cl-, in the low analyte concentration range of 10(-6) to 10(-4) M. (c) 2007 Elsevier B.V. All rights reserved.
Suggested health services research action to achieve reduction of neonatal mortality in India
No full textDespite several national programs to reduce infant mortality, India had repeatedly failed to achieve its set targets for infant mortality. There are approximately one million neonatal deaths in India each year which accounts for nearly two-thirds of the infant deaths in India. India’s current trajectories of neonatal and infant mortality rates make it unlikely that it will achieve its targets for infant mortality rate for 2015 set under the Millennium Development Goals. Since two-thirds of infant deaths in India are neonatal deaths, implementation of effective neonatal care strategies would be essential to reduce infant mortality considerably. The history of child health services in India suggests an inattention to qualitative parameters, hindering a reversal of its failures. We discuss a format of mixed-methods participatory research, integrated with routine district level household surveys (DLHS), as a model of health services research which would better delineate the problems encountered in delivering effective newborn care at the primary care level
Smart Assistant for Blind Humans using Rashberry PI
No full textAn OCR Optical Character Recognition system which is a branch of computer vision and in turn a sub class of Artificial Intelligence. Optical character recognition is the translation of optically scanned bitmaps of printed or hand written text into audio output by using of Raspberry pi. OCRs developed for many world languages are already under efficient use. This method extracts moving object region by a mixture of Gaussians based background subtraction method. A text localization and recognition are conducted to acquire text information. To automatically localize the text regions from the object, a text localization and Tesseract algorithm by learning gradient features of stroke orientations and distributions of edge pixels in an Adaboost model. Text characters in the localized text regions are then binaries and recognized by off the shelf optical character recognition software. The recognized text codes are output to blind users in speech. Performance of the proposed text localization algorithm. As the recognition process is completed, the character codes in the text file are processed using Raspberry pi device on which recognize character using Tesseract algorithm and python programming, the audio output is listed. Abish Raj. M. S | Manoj Kumar. A. S | Murali. V "Smart Assistant for Blind Humans using Rashberry PI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd11498.pd
Budgetary constraints and growth scenario in Uttar Pradesh.
No full textEconomic growth ; Uttar Pradesh
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