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  1. Article: The H1N1 factor and inverse correlation between death rates due to COVID-19 and influenza-pneumonia

    Haridas, A. / Prathap, G.

    Current Science

    Abstract: In an earlier study, we had observed an inverse correlation between death rates due to COVID-19 and influenza, suggesting cross-immunity We examine virus surveillance data further to identify the key subtype of influenza virus that seems to give such ... ...

    Abstract In an earlier study, we had observed an inverse correlation between death rates due to COVID-19 and influenza, suggesting cross-immunity We examine virus surveillance data further to identify the key subtype of influenza virus that seems to give such crossimmunity This is identified as the H1N1 strain and we show that a country where this strain was recently dominant has much lower COVID-19 mortality rates It is possible to argue that many countries which already have a high burden of influenza and pneumonia-related deaths, may have a substantial fraction of the population immune to the SARS-CoV-2 virus and hence experience lower mortality rates at the peak typical of exponentially growing epidemics This has implication on policies appropriate for managing the epidemic © 2020, Indian Academy of Sciences
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #825986
    Database COVID19

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  2. Article ; Online: Preterm Retinopathy of Prematurity and risk factors from a tertiary health care unit

    Vura U V Nagajyothi / Karunakar Gare / Murali krishna Thummakomma / Mohan Amgothu / Guguloth Latha / A Kalyani / T Jaya Chandra / Prathap G

    Perspectives In Medical Research, Vol 11, Iss 3, Pp 68-

    A descriptive study

    2023  Volume 71

    Abstract: Introduction: Retinopathy Of Prematurity (ROP), is the major preventable blindness in infants. A study was conducted to find the risk factors of ROP in premature infants with gestational age (GA) < 36 weeks. Methods: It was a descriptive study conducted ... ...

    Abstract Introduction: Retinopathy Of Prematurity (ROP), is the major preventable blindness in infants. A study was conducted to find the risk factors of ROP in premature infants with gestational age (GA) < 36 weeks. Methods: It was a descriptive study conducted in Kakatiya Medical College, Hanumakonda. Babies with major congenital, chromosomal anomalies were excluded. One hour before screening, a drop of Tropicamide was instilled for every 10 – 15 minutes for 4 times followed by a drop of Phenylephrine just before examination. ROP screening was carried out by a senior ophthalmologist in NICU. First, the anterior segment was examined. This was followed by sequential examination of all clock hours of the peripheral retina and findings were recorded. Association between variables was analysed by using Chi-Square test. P < 0.05 was considered to be statistically significant. Results: ROP was detected in 31.4%; statistically there was no significant difference between gender. Apnoea, hyperbilirubinemia, anaemia, respiratory distress were found to be the risk factors for ROP; statistically there was significant difference, respectively. Conclusion: Preventing prematurity is the best way to reduce ROP. Proper coordination between obstetrician, neonatologist and ophthalmologist can help to reduce the incidence.
    Keywords neonates ; premature infants ; retinopathy ; Medicine ; R
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Prathima Institute of Medical Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  3. Article ; Online: Evaluation of plant probiotic performance of Pseudomonas sp. encapsulated in alginate supplemented with salicylic acid and zinc oxide nanoparticles.

    Panichikkal, Jishma / Prathap, Gopika / Nair, Remakanthan Appukuttan / Krishnankutty, Radhakrishnan Edayileveetil

    International journal of biological macromolecules

    2020  Volume 166, Page(s) 138–143

    Abstract: Plant growth promoting rhizobacteria (PGPR) are efficient candidates for the application in agricultural field to enhance the crop yield and to suppress the plant diseases. As the changes in agro-climatic conditions negatively affect the soil fertility ... ...

    Abstract Plant growth promoting rhizobacteria (PGPR) are efficient candidates for the application in agricultural field to enhance the crop yield and to suppress the plant diseases. As the changes in agro-climatic conditions negatively affect the soil fertility and functioning of soil microbial community, there are significant demand for the innovative delivery methods for the PGPR to ensure its optimal performance. In the present study, Pseudomonas sp. DN18 has been entrapped in the alginate beads along with the supplemented salicylic acid (SA) and zinc oxide nanoparticles (ZnONPs). This modified formulation was further demonstrated for the IAA production and also antifungal activity against the Sclerotium rolfsii. In addition, superior plant growth promoting and biocontrol properties of the encapsulated Pseudomonas sp. DN18 supplemented with SA and ZnONPs have also been demonstrated on Oryza sativa seedlings by comparing with the free living Pseudomonas sp. DN18. This revealed the agricultural promises of Pseudomonas sp. DN18 encapsulated in a modified delivery system due to its functional superiority and stability over the free living bacteria based formulation.
    MeSH term(s) Alginates/chemistry ; Antifungal Agents/chemistry ; Antifungal Agents/pharmacology ; Basidiomycota/drug effects ; Basidiomycota/pathogenicity ; Biological Control Agents ; Crop Production/methods ; Metal Nanoparticles/chemistry ; Microspheres ; Oryza/growth & development ; Oryza/microbiology ; Plant Development ; Pseudomonas/pathogenicity ; Salicylates/chemistry ; Salicylates/pharmacology ; Zinc Oxide/chemistry ; Zinc Oxide/pharmacology
    Chemical Substances Alginates ; Antifungal Agents ; Biological Control Agents ; Salicylates ; Zinc Oxide (SOI2LOH54Z)
    Language English
    Publishing date 2020-10-21
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2020.10.110
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Online: Deep Learning Approach for Building Detection in Satellite Multispectral Imagery

    Prathap, Geesara / Afanasyev, Ilya

    2018  

    Abstract: Building detection from satellite multispectral imagery data is being a fundamental but a challenging problem mainly because it requires correct recovery of building footprints from high-resolution images. In this work, we propose a deep learning ... ...

    Abstract Building detection from satellite multispectral imagery data is being a fundamental but a challenging problem mainly because it requires correct recovery of building footprints from high-resolution images. In this work, we propose a deep learning approach for building detection by applying numerous enhancements throughout the process. Initial dataset is preprocessed by 2-sigma percentile normalization. Then data preparation includes ensemble modelling where 3 models were created while incorporating OpenStreetMap data. Binary Distance Transformation (BDT) is used for improving data labeling process and the U-Net (Convolutional Networks for Biomedical Image Segmentation) is modified by adding batch normalization wrappers. Afterwards, it is explained how each component of our approach is correlated with the final detection accuracy. Finally, we compare our results with winning solutions of SpaceNet 2 competition for real satellite multispectral images of Vegas, Paris, Shanghai and Khartoum, demonstrating the importance of our solution for achieving higher building detection accuracy.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2018-11-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book ; Online: Regions of Interest Segmentation from LiDAR Point Cloud for Multirotor Aerial Vehicles

    Prathap, Geesara / Fedorenko, Roman / Klimchik, Alexandr

    2019  

    Abstract: We propose a novel filter for segmenting the regions of interest from LiDAR 3D point cloud for multirotor aerial vehicles. It is specially targeted for real-time applications and works on sparse LiDAR point clouds without preliminary mapping. We use this ...

    Abstract We propose a novel filter for segmenting the regions of interest from LiDAR 3D point cloud for multirotor aerial vehicles. It is specially targeted for real-time applications and works on sparse LiDAR point clouds without preliminary mapping. We use this filter as a crucial component of fast obstacle avoidance system for agriculture drone operating at low altitude. As the first step, each point cloud is transformed into a depth image and then identify places near to the vehicle (local maxima) by locating areas with high pixel densities. Afterwards, we merge the original depth image with identified locations after maximizing intensities of pixels in which local maxima were obtained. Next step is to calculate the range angle image that represents angles between two consecutive laser beams based on the improved depth image. Once the corresponding range angle image is constructed, smoothing is applied to reduce the noise. Finally, we find out connected components within the improved depth image while incorporating smoothed range angle image. This allows separating the regions of interest. The filter has been tested on various simulated environments as well as an actual drone and provides real-time performance. We make our source code, dataset available at https://github.com/GPrathap/hagen.git and real world experiment result can be found on the following link: https://www.youtube.com/watch?v=iHd_ZkhKPjc available online.
    Keywords Computer Science - Robotics ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 629
    Publishing date 2019-11-16
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book ; Online: Towards Human Pulse Rate Estimation from Face Video

    Ostankovich, Vladislav / Prathap, Geesara / Afanasyev, Ilya

    Automatic Component Selection and Comparison of Blind Source Separation Methods

    2018  

    Abstract: Human heartbeat can be measured using several different ways appropriately based on the patient condition which includes contact base such as measured by using instruments and non-contact base such as computer vision assisted techniques. Non-contact ... ...

    Abstract Human heartbeat can be measured using several different ways appropriately based on the patient condition which includes contact base such as measured by using instruments and non-contact base such as computer vision assisted techniques. Non-contact based approached are getting popular due to those techniques are capable of mitigating some of the limitations of contact-based techniques especially in clinical section. However, existing vision guided approaches are not able to prove high accurate result due to various reason such as the property of camera, illumination changes, skin tones in face image, etc. We propose a technique that uses video as an input and returns pulse rate in output. Initially, key point detection is carried out on two facial subregions: forehead and nose-mouth. After removing unstable features, the temporal filtering is applied to isolate frequencies of interest. Then four component analysis methods are employed in order to distinguish the cardiovascular pulse signal from extraneous noise caused by respiration, vestibular activity and other changes in facial expression. Afterwards, proposed peak detection technique is applied for each component which extracted from one of the four different component selection algorithms. This will enable to locate the positions of peaks in each component. Proposed automatic components selection technique is employed in order to select an optimal component which will be used to calculate the heartbeat. Finally, we conclude with a comparison of four component analysis methods (PCA, FastICA, JADE, SHIBBS), processing face video datasets of fifteen volunteers with verification by an ECG/EKG Workstation as a ground truth.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 004
    Publishing date 2018-10-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  7. Book ; Online: Near Real-Time Data Labeling Using a Depth Sensor for EMG Based Prosthetic Arms

    Prathap, Geesara / Kumara, Titus Nanda / Ragel, Roshan

    2018  

    Abstract: Recognizing sEMG (Surface Electromyography) signals belonging to a particular action (e.g., lateral arm raise) automatically is a challenging task as EMG signals themselves have a lot of variation even for the same action due to several factors. To ... ...

    Abstract Recognizing sEMG (Surface Electromyography) signals belonging to a particular action (e.g., lateral arm raise) automatically is a challenging task as EMG signals themselves have a lot of variation even for the same action due to several factors. To overcome this issue, there should be a proper separation which indicates similar patterns repetitively for a particular action in raw signals. A repetitive pattern is not always matched because the same action can be carried out with different time duration. Thus, a depth sensor (Kinect) was used for pattern identification where three joint angles were recording continuously which is clearly separable for a particular action while recording sEMG signals. To Segment out a repetitive pattern in angle data, MDTW (Moving Dynamic Time Warping) approach is introduced. This technique is allowed to retrieve suspected motion of interest from raw signals. MDTW based on DTW algorithm, but it will be moving through the whole dataset in a pre-defined manner which is capable of picking up almost all the suspected segments inside a given dataset an optimal way. Elevated bicep curl and lateral arm raise movements are taken as motions of interest to show how the proposed technique can be employed to achieve auto identification and labelling. The full implementation is available at https://github.com/GPrathap/OpenBCIPython
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2018-11-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book: The finite element method in structural mechanics

    Prathap, G

    principles and practice of design of field-consistent elements for structural and solid mechanics

    (Solid mechanics and its applications ; 24)

    1993  

    Author's details by G. Prathap
    Series title Solid mechanics and its applications ; 24
    Keywords Finite element method ; Festkörper ; Strukturmechanik ; Finite-Elemente-Methode
    Language English
    Size IX, 414 S, graph. Darst, 25 cm
    Publisher Kluwer
    Publishing place Dordrecht u.a.
    Document type Book
    Note Literaturangaben
    ISBN 0792324927 ; 9780792324928
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  9. Article: The organization of effective ambulatory treatment in a national tuberculosis programme.

    Pak Soon, C / Prathap, G

    Bulletin of the International Union against Tuberculosis

    1976  Volume 51, Issue 1, Page(s) 383–393

    MeSH term(s) Ambulatory Care/organization & administration ; Humans ; Malaysia ; Tuberculosis, Pulmonary/prevention & control
    Language English
    Publishing date 1976
    Publishing country France
    Document type Journal Article
    ZDB-ID 639151-5
    ISSN 0074-9249 ; 1011-789X
    ISSN 0074-9249 ; 1011-789X
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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