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  1. Article ; Online: Green Toenail Discoloration due to Tracer Dye.

    Gupta, Mohit Kumar / Lipner, Shari R

    Skinmed

    2023  Volume 21, Issue 4, Page(s) 270

    MeSH term(s) Humans ; Nails/pathology ; Coloring Agents/adverse effects
    Chemical Substances Coloring Agents
    Language English
    Publishing date 2023-09-29
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 2171125-2
    ISSN 1751-7125 ; 1540-9740
    ISSN (online) 1751-7125
    ISSN 1540-9740
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A Survey on the Machine Learning Techniques for Automated Diagnosis from Ultrasound Images.

    Mohit, Kumar / Gupta, Rajeev / Kumar, Basant

    Current medical imaging

    2023  

    Abstract: Medical diagnostic systems has recently been very popular and reliable because of possible automatic detections. The machine learning algorithm is evolved as a core tool of computer-aided diagnosis (CAD) for automatic early and accurate disease ... ...

    Abstract Medical diagnostic systems has recently been very popular and reliable because of possible automatic detections. The machine learning algorithm is evolved as a core tool of computer-aided diagnosis (CAD) for automatic early and accurate disease detections. The algorithm follows region of interest (ROI) selection followed by specific feature extractions and selection from medical images. The selected features are then fed to suitable classifiers for disease identification. The machine learning algorithm's performance depends on the features selected and the classifiers employed for the job. This paper reviews different feature extraction selection and classification techniques for CAD from ultrasound images. Ultrasonography (USG), due to its portability and its non-invasive nature, is the prime choice of doctors for prescribing as an imaging test. A survey on the USG imaging based on four major diseases is performed in this paper, whose diagnosis followed by automatic detection. Various techniques applied for feature extraction, selection, and classification by different authors to achieve improved accuracy are tabulated. For medical images, we found texture based gray-level extracted features and SVM (support vector machine) classifiers to be more significant in improving classification accuracy, even achieving 100% accuracy in many research articles. However, many research articles also suggest the importance of student's t-test in improving classification accuracy by selecting significant features from extracted features. The proposed algorithm's accuracy also depends on the quality of medical images, which are frequently degraded by the introduction of noise and artifacts while imaging acquisition. So, challenges in denoising are added in this paper as a separate topic to highlight the role of the machine learning algorithm in removing noise and artifacts from the USG images.
    Language English
    Publishing date 2023-05-29
    Publishing country United Arab Emirates
    Document type Journal Article
    ISSN 1573-4056
    ISSN (online) 1573-4056
    DOI 10.2174/1573405620666230529112655
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Computer-Aided Diagnosis of Various Diseases Using Ultrasonography Images.

    Mohit, Kumar / Gupta, Rajeev / Kumar, Basant

    Current medical imaging

    2023  

    Abstract: This paper is an exhaustive survey of computer-aided diagnosis (CAD) system-based automatic detection of several diseases from ultrasound images. CAD plays a vital role in the automatic and early detection of diseases. Health monitoring, medical database ...

    Abstract This paper is an exhaustive survey of computer-aided diagnosis (CAD) system-based automatic detection of several diseases from ultrasound images. CAD plays a vital role in the automatic and early detection of diseases. Health monitoring, medical database management, and picture archiving systems became very feasible with CAD, assisting radiologists in making decisions over any imaging modality. Imaging modalities mainly rely on machine learning and deep learning algorithms for early and accurate disease detection. CAD approaches are described in this paper in terms of their significant tools; digital image processing (DIP), machine learning (ML), and deep learning (DL). Ultrasonography (USG) already has many advantages over other imaging modalities; therefore, CAD analysis of USG assists radiologists in studying it more clearly, leading to USG application over various body parts. So, in this paper, we have included a review of those major diseases whose detection supports "ML algorithm" based diagnosis from USG images. ML algorithm follows feature extraction, selection, and classification in the required class. The literature survey of these diseases is grouped into the carotid region, transabdominal & pelvic region, musculoskeletal region, and thyroid region. These regions also differ in the types of transducers employed for scanning. Based on the literature survey, we have concluded that texture-based extracted features passed to support vector machine (SVM) classifier results in good classification accuracy. However, the emerging deep learning-based disease classification trend signifies more preciseness and automation for feature extraction and classification. Still, classification accuracy depends on the number of images used for training the model. This motivated us to highlight some of the significant shortcomings of automated disease diagnosis techniques. Research challenges in CAD-based automatic diagnosis system design and limitations in imaging through USG modality are mentioned as separate topics in this paper, indicating future scope or improvement in this field. The success rate of machine learning approaches in USG-based automatic disease detection motivated this review paper to describe different parameters behind machine learning and deep learning algorithms towards improving USG diagnostic performance.
    Language English
    Publishing date 2023-03-06
    Publishing country United Arab Emirates
    Document type Journal Article
    ISSN 1573-4056
    ISSN (online) 1573-4056
    DOI 10.2174/1573405619666230306101012
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Route to synchronization in coupled phase oscillators with frequency-dependent coupling: Explosive or continuous?

    Kumar, Mohit / Gupta, Sayan

    Physical review. E

    2022  Volume 106, Issue 4-1, Page(s) 44310

    Abstract: Interconnected dynamical systems often transition between states of incoherence and synchronization due to changes in system parameters. These transitions could be continuous (gradual) or explosive (sudden) and may result in failures, which makes ... ...

    Abstract Interconnected dynamical systems often transition between states of incoherence and synchronization due to changes in system parameters. These transitions could be continuous (gradual) or explosive (sudden) and may result in failures, which makes determining their nature important. In this study, we abstract dynamical networks as an ensemble of globally coupled Kuramoto-like phase oscillators with frequency-dependent coupling and investigate the mechanisms for transition between incoherent and synchronized dynamics. The characteristics that dictate a continuous or explosive route to synchronization are the distribution of the natural frequencies of the oscillators, quantified by a probability density function g(ω), and the relation between the coupling strength and natural frequency of an oscillator, defined by a frequency-coupling strength correlation function f(ω). Our main results are conditions on f(ω) and g(ω) that result in continuous or explosive routes to synchronization and explain the underlying physics. The analytical developments are validated through numerical examples.
    Language English
    Publishing date 2022-10-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2844562-4
    ISSN 2470-0053 ; 2470-0045
    ISSN (online) 2470-0053
    ISSN 2470-0045
    DOI 10.1103/PhysRevE.106.044310
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Microwave assisted regioselective halogenation of benzo[

    Kumar, Sandeep / Prince / Gupta, Mohit / Lalji, Ram Sunil Kumar / Singh, Brajendra K

    RSC advances

    2023  Volume 13, Issue 4, Page(s) 2365–2371

    Abstract: A microwave assisted, palladium-catalyzed regioselective halogenation of 3-phenyl- ... ...

    Abstract A microwave assisted, palladium-catalyzed regioselective halogenation of 3-phenyl-2
    Language English
    Publishing date 2023-01-16
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d2ra07259a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Pistachio nut shell as a nail substitute to improve function in patients with nail lichen planus.

    Gupta, Mohit Kumar / Lipner, Shari R

    International journal of women's dermatology

    2021  Volume 7, Issue 3, Page(s) 353–354

    Language English
    Publishing date 2021-01-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2832233-2
    ISSN 2352-6475
    ISSN 2352-6475
    DOI 10.1016/j.ijwd.2020.12.016
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Rhodium-catalyzed selenylation and sulfenylation of quinoxalinones 'on water'.

    Lalji, Ram Sunil Kumar / Prince / Gupta, Mohit / Kumar, Sandeep / Kumar, Amit / Singh, Brajendra Kumar

    RSC advances

    2023  Volume 13, Issue 9, Page(s) 6191–6198

    Abstract: A rhodium-catalysed, regioselective synthetic methodology for selenylation and sulfenylation of 3-phenyl quinoxolinones has been developed through N-directed C-H activation in the presence of silver triflimide, and silver carbonate using dichalcogenides ' ...

    Abstract A rhodium-catalysed, regioselective synthetic methodology for selenylation and sulfenylation of 3-phenyl quinoxolinones has been developed through N-directed C-H activation in the presence of silver triflimide, and silver carbonate using dichalcogenides 'on water'. The methodology has been proven to be efficient, regioselective and green. Using this method, a range of selenylations and sulfenylations of the substrates has been carried out in good to excellent yields. Further, late-stage functionalisation produced potential anti-tumour, anti-fungal and anti-bacterial agents making these compounds potential drug candidates.
    Language English
    Publishing date 2023-02-20
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d2ra07400a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Coinfection of porcine astrovirus and other porcine viruses in diarrheic pigs in Haryana, India.

    Vaishali / Gupta, Renu / Kumar, Mohit / Bansal, Nitish / Vivek / Kumar, Parveen / Kumar, Pawan / Jindal, Naresh

    Archives of virology

    2023  Volume 168, Issue 10, Page(s) 246

    Abstract: In this study, 306 rectal swabs from diarrheal pigs of various ages (0-3 weeks, 3-6 weeks, and >6 weeks) were collected from 54 piggery units in different climatic zones in Haryana state, India. These samples were tested for the presence of porcine ... ...

    Abstract In this study, 306 rectal swabs from diarrheal pigs of various ages (0-3 weeks, 3-6 weeks, and >6 weeks) were collected from 54 piggery units in different climatic zones in Haryana state, India. These samples were tested for the presence of porcine astrovirus (PAstV), porcine rotavirus group A (PRV-A), and classical swine fever virus (CSFV) by reverse transcription polymerase chain reaction (RT-PCR), and porcine circovirus 2 (PCV-2) by polymerase chain reaction (PCR). Out of the 306 samples tested, 153 (50%), 108 (35.3%), 32 (10.6%), and three (0.9%) tested positive for PAstV, PCV-2, PRV-A, and CSFV, respectively. A single infection was detected in 135 samples, while mixed infections were found in 77 samples: 70 with two viruses and seven samples with more than two. PAstV was detected most frequently (55.31%) in pigs aged 3-6 weeks. PCV-2 was more predominant in pigs aged 0-3 weeks (36.53%), whereas PRV-A was more common in pigs aged 3-6 weeks (11.3%). CSFV was observed in the age group of 0-3 weeks (1.92%). Phylogenetic analysis revealed the circulation of lineages 2 and 4 of PAstV in this region. Thus, it can be concluded that one or more than one virus is circulating in piggery units in Haryana, India.
    MeSH term(s) Swine ; Animals ; Coinfection/epidemiology ; Coinfection/veterinary ; Phylogeny ; Mamastrovirus/genetics ; Rotavirus/genetics ; India/epidemiology ; Circovirus ; Classical Swine Fever Virus
    Language English
    Publishing date 2023-09-07
    Publishing country Austria
    Document type Journal Article
    ZDB-ID 7491-3
    ISSN 1432-8798 ; 0304-8608
    ISSN (online) 1432-8798
    ISSN 0304-8608
    DOI 10.1007/s00705-023-05865-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Comparative Study on Physical Characterization of Reclaimed Asphalt Pavement and Natural Aggregate in Flexible Pavement

    Nandal Mohit / Sood Hemant / Gupta Pardeep Kumar

    E3S Web of Conferences, Vol 405, p

    2023  Volume 04041

    Abstract: Reclaimed Asphalt Pavement (RAP) has gained significant attention in recent years as a sustainable alternative to natural aggregate in road construction. This study presents a comparison of the physical attributes of RAP and natural aggregate, with a ... ...

    Abstract Reclaimed Asphalt Pavement (RAP) has gained significant attention in recent years as a sustainable alternative to natural aggregate in road construction. This study presents a comparison of the physical attributes of RAP and natural aggregate, with a focus on their potential use as base and subbase materials in flexible pavements. The physical attributes of RAP and natural aggregate were evaluated using standard laboratory tests, including particle size distribution, specific gravity, water absorption, impact value test, Los Angles Abrasion test, flakiness and elongation test. The research concluded that RAP is comparable to natural aggregate in terms of particle size distribution and bulk density but has lower water absorption, impact, and abrasion values. The results shows that RAP is almost 53% more tougher that natural aggregate when tested for Aggregated Impact test and 30% more harder than natural aggregate when compared by Los Angeles abrasion test. Also, heatmap was used to analyse the relationship between physical attributes of natural aggregate and reclaimed asphalt pavement which depicted 93% similarity The findings suggest that RAP has the potential to replace natural aggregate in flexible pavements, further study is required to determine its long-term performance and durability.
    Keywords reclaimed asphalt pavement ; natural aggregate ; physical property tests ; sustainability ; flexible pavement ; Environmental sciences ; GE1-350
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Transillumination for improved diagnosis of digital myxoid cysts.

    Gupta, Mohit Kumar / Lipner, Shari R

    Cutis

    2020  Volume 105, Issue 2, Page(s) 82

    MeSH term(s) Fingers/pathology ; Ganglion Cysts/diagnosis ; Ganglion Cysts/pathology ; Humans ; Transillumination/methods
    Language English
    Publishing date 2020-03-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 391840-3
    ISSN 2326-6929 ; 0011-4162 ; 0151-9522
    ISSN (online) 2326-6929
    ISSN 0011-4162 ; 0151-9522
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