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  1. Book ; Online ; E-Book: Advanced Materials and Manufacturing Techniques for Biomedical Applications

    Prasad, Arbind / Kumar, Ashwani / Gupta, Manoj

    2024  

    Language English
    Size 1 online resource (458 pages)
    Edition 1st ed.
    Publisher John Wiley & Sons, Incorporated
    Publishing place Newark
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 1-394-16696-6 ; 1-394-16698-2 ; 1-394-16697-4 ; 9781394166190 ; 978-1-394-16696-1 ; 978-1-394-16698-5 ; 978-1-394-16697-8 ; 1394166192
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online ; E-Book: Applications of bioinformatics in rice research

    Gupta, Manoj Kumar / Behera, Lambodar

    2021  

    Author's details edited by Manoj Kumar Gupta, Lambodar Behera
    Keywords Life sciences ; Arròs ; Bioinformàtica ; Aprenentatge automàtic
    Subject code 371
    Language English
    Size 1 online resource (363 pages)
    Publisher Springer
    Publishing place Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 981-16-3997-3 ; 981-16-3996-5 ; 978-981-16-3997-5 ; 978-981-16-3996-8
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online ; E-Book: Bioinformatics in rice research

    Gupta, Manoj Kumar / Behera, Lambodar

    theories and techniques

    2021  

    Author's details Manoj Kumar Gupta, Lambodar Behera, editors
    Keywords Rice/Research ; Rice/Genetics/Research ; Bioinformatics ; Arròs ; Genòmica ; Bioinformàtica ; Investigació
    Subject code 633.18
    Language English
    Size 1 online resource (609 pages)
    Publisher Springer
    Publishing place Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 981-16-3993-0 ; 981-16-3992-2 ; 978-981-16-3993-7 ; 978-981-16-3992-0
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Article ; Online: Unveiling a robust and high-temperature-stable two-dimensional ZnAl layered double hydroxide nanosheet based flexible triboelectric nanogenerator.

    Ritu / Badatya, Simadri / Patel, Manoj Kumar / Gupta, Manoj Kumar

    Nanoscale

    2024  Volume 16, Issue 8, Page(s) 4176–4188

    Abstract: Triboelectric nanogenerators have the ability to harvest low- and mid-frequency vibrational energy from the environment; however, achieving stable performance of the nanogenerator device in high-temperature conditions remains challenging. In this work, a ...

    Abstract Triboelectric nanogenerators have the ability to harvest low- and mid-frequency vibrational energy from the environment; however, achieving stable performance of the nanogenerator device in high-temperature conditions remains challenging. In this work, a flexible and temperature-stable polyvinyl alcohol (PVA)/layered double hydroxides (LDH) nanocomposite-based triboelectric nanogenerator was developed to harvest unexploited vibrational energy for the first time. Crystalline ZnAl LDH nanosheets grown by a hydrothermal route are used to fabricate the high-performance flexible nanogenerator. The ZnAl LDH exhibits fire-retardancy and high-temperature stability (∼500 °C). A triboelectric nanogenerator based on the ZnAl LDH-PVA nanocomposite generated a very high output voltage of 60 V even under a low vertical pressure of 1 kgf. Surprisingly, the developed device shows ultra-stable output performance even up to a temperature of 200 °C. In addition, a ZnAl LDH-nanosheet-reinforced PVA nanocomposite film shows very high dielectric constant of about 5 × 10
    Language English
    Publishing date 2024-02-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515664-0
    ISSN 2040-3372 ; 2040-3364
    ISSN (online) 2040-3372
    ISSN 2040-3364
    DOI 10.1039/d3nr03894g
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Birth Asphyxia among Neonates Admitted to the Neonatal Intensive Care Unit of a Tertiary Care Hospital.

    Yadav, Dhirendra Prasad / Kumar, Vivek / Gupta, Manoj Kumar

    JNMA; journal of the Nepal Medical Association

    2024  Volume 62, Issue 270, Page(s) 68–71

    Abstract: Introduction: Birth asphyxia causes significant morbidity and mortality among neonates, especially in low-income and middle-income countries like Nepal. However, there is a paucity of data regarding its burden. This study aimed to find the prevalence of ...

    Abstract Introduction: Birth asphyxia causes significant morbidity and mortality among neonates, especially in low-income and middle-income countries like Nepal. However, there is a paucity of data regarding its burden. This study aimed to find the prevalence of birth asphyxia among neonates admitted to the neonatal intensive care unit of a tertiary care hospital.
    Methods: This descriptive cross-sectional study was conducted among neonates at a tertiary care hospital between 15 January 2022 to 14 January 2023 after obtaining ethical approval from the Institutional Review Committee. Neonates with gestational age ≥35 weeks were included and those with major congenital anomalies were excluded. A convenience sampling method was used. A point estimate was calculated at a 95% Confidence Interval.
    Results: Among 902 neonates, 120 (13.30%) (11.08-15.52, 95% Confidence Interval) had birth asphyxia. A total of 108 (90%) were outborn, and 84 (70%) were males. HIE stage-I, II and III were seen in 47 (39.17%), 64 (53.33%) and 9 (7.50%) of the asphyxiated neonates respectively. Poor suck 92 (76.67%), seizures 73 (60.83%) and lethargy 70 (58.33%) were common abnormal neurological findings. Death occurred in 15 (12.50%) neonates in the hospital.
    Conclusions: The prevalence of birth asphyxia was found to be similar to other studies done in similar settings. The high burden underscores an urgent need to implement better perinatal care and delivery room management practices.
    Keywords: hypoxic-ischemic encephalopathy; neonates; prevalence.
    MeSH term(s) Infant, Newborn ; Male ; Pregnancy ; Female ; Humans ; Infant ; Intensive Care Units, Neonatal ; Cross-Sectional Studies ; Tertiary Care Centers ; Asphyxia ; Asphyxia Neonatorum/epidemiology
    Language English
    Publishing date 2024-02-24
    Publishing country Nepal
    Document type Journal Article
    ZDB-ID 2209910-4
    ISSN 1815-672X ; 0028-2715
    ISSN (online) 1815-672X
    ISSN 0028-2715
    DOI 10.31729/jnma.8429
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: C-H bond activation by high-valent iron/cobalt-oxo complexes: a quantum chemical modeling approach.

    Kumar, Manjeet / Gupta, Manoj Kumar / Ansari, Mursaleem / Ansari, Azaj

    Physical chemistry chemical physics : PCCP

    2024  Volume 26, Issue 5, Page(s) 4349–4362

    Abstract: High-valent metal-oxo species serve as key intermediates in the activation of inert C-H bonds. Here, we present a comprehensive DFT analysis of the parameters that have been proposed as influencing factors in modeled high-valent metal-oxo mediated C-H ... ...

    Abstract High-valent metal-oxo species serve as key intermediates in the activation of inert C-H bonds. Here, we present a comprehensive DFT analysis of the parameters that have been proposed as influencing factors in modeled high-valent metal-oxo mediated C-H activation reactions. Our approach involves utilizing DFT calculations to explore the electronic structures of modeled Fe
    Language English
    Publishing date 2024-01-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d3cp05866b
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Comment on "Perioperative Blood Transfusions Are Associated With Worse Overall Survival But Not Disease-Free Survival After Curative Rectal Cancer Resection: A Propensity Score-Matched Analysis".

    Kumar, Manoj / Sahu, Reva Shankar / Kumar, Manoj / Gupta, Rohit

    Diseases of the colon and rectum

    2022  Volume 65, Issue 5, Page(s) e337

    Language English
    Publishing date 2022-01-19
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 212581-x
    ISSN 1530-0358 ; 0012-3706
    ISSN (online) 1530-0358
    ISSN 0012-3706
    DOI 10.1097/DCR.0000000000002436
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    ab Jg. 2022: Lesesaal (EG)

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  8. Article: Implementation of the deep learning method for signal detection in massive-MIMO-NOMA systems.

    Kumar, Arun / Gaur, Nishant / Gupta, Manoj / Nanthaamornphong, Aziz

    Heliyon

    2024  Volume 10, Issue 3, Page(s) e25374

    Abstract: The deep learning method (DLM) is one way to fix issues in optical nonorthogonal multiple access (O-NOMA) systems that are caused by signals that overlap and interfere with each other. NOMA increases the optical framework's spectrum efficiency, allowing ... ...

    Abstract The deep learning method (DLM) is one way to fix issues in optical nonorthogonal multiple access (O-NOMA) systems that are caused by signals that overlap and interfere with each other. NOMA increases the optical framework's spectrum efficiency, allowing several users to share the same time-frequency resources. However, NOMA-DLM-based detection's complicated interference patterns and variable channel conditions are challenging for conventional detection methods to manage. By utilizing deep neural networks' advantages, these methods are able to overcome these challenges and improve detection performance. An overview of the main features and advantages of DLM detection in massive multiple input and output (M-MIMO) O-NOMA systems is given in this article. It describes the essential elements, such as the training procedure and the network design. In order to process the sent symbols or decode data streams, DLM networks are built to process the incoming signal, power allocation coefficients, and extra information. Gradient descent optimization is used to update the network parameters iteratively while training the network, and a diverse and representative dataset is created. Additionally, the challenges of detecting deep learning in O-NOMA systems are examined. It recognizes that in order to get the best results, significant computational resources, a large amount of training data, and careful model design are required. It looks at and compares the 16 × 16, 32 × 32, and 64 × 64 M-MIMO-NOMA models in terms of bit error rate (BER), complexity, and power spectral density (PSD). The suggested DLM algorithms have been demonstrated to perform better than traditional methods by achieving an excellent BER of 10-3 at 4.1 dB and PSD (-2500) performance with low complexity.
    Language English
    Publishing date 2024-02-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e25374
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Nymphomania with intellectual disability.

    Sharma, Mini / Kumar, Manoj / Gupta, Sneha

    Industrial psychiatry journal

    2022  Volume 31, Issue 2, Page(s) 380–381

    Language English
    Publishing date 2022-07-05
    Publishing country India
    Document type Journal Article
    ZDB-ID 2580355-4
    ISSN 0976-2795 ; 0972-6748
    ISSN (online) 0976-2795
    ISSN 0972-6748
    DOI 10.4103/ipj.ipj_151_21
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Benchmarking and Assessment of Eight

    Gupta, Amit Kumar / Kumar, Manoj

    Omics : a journal of integrative biology

    2022  Volume 26, Issue 7, Page(s) 372–381

    Abstract: Viral genomics has become crucial in clinical diagnostics and ecology, not to mention to stem the COVID-19 pandemic. Whole-genome sequencing (WGS) is pivotal in gaining an improved understanding of viral evolution, genomic epidemiology, infectious ... ...

    Abstract Viral genomics has become crucial in clinical diagnostics and ecology, not to mention to stem the COVID-19 pandemic. Whole-genome sequencing (WGS) is pivotal in gaining an improved understanding of viral evolution, genomic epidemiology, infectious outbreaks, pathobiology, clinical management, and vaccine development. Genome assembly is one of the crucial steps in WGS data analyses. A series of different assemblers has been developed with the advent of high-throughput next-generation sequencing (NGS). Various studies have reported the evaluation of these assembly tools on distinct datasets; however, these lack data from viral origin. In this study, we performed a comparative evaluation and benchmarking of eight
    MeSH term(s) Benchmarking ; COVID-19/epidemiology ; Genome, Viral ; High-Throughput Nucleotide Sequencing/methods ; Humans ; Pandemics ; SARS-CoV-2/genetics ; Sequence Analysis, DNA/methods ; Software
    Language English
    Publishing date 2022-06-28
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2030312-9
    ISSN 1557-8100 ; 1536-2310
    ISSN (online) 1557-8100
    ISSN 1536-2310
    DOI 10.1089/omi.2022.0042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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