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  1. Article ; Online: Ultrasonic-assisted de-agglomeration and power draw characterization of silica nanoparticles.

    Vikash / Kumar, Vimal

    Ultrasonics sonochemistry

    2020  Volume 65, Page(s) 105061

    Abstract: Breakage of nanoparticle cluster require high-intensity devices for stable and uniform distribution of aggregates. The ultra-sonication process is a high energy-intensive technique that produces cavitation effect to break the aggregates. In the present ... ...

    Abstract Breakage of nanoparticle cluster require high-intensity devices for stable and uniform distribution of aggregates. The ultra-sonication process is a high energy-intensive technique that produces cavitation effect to break the aggregates. In the present study, ultra-sonication is used for the de-agglomeration of fumed silica nanoparticles in low to high viscosity liquids. Water- and glycerol-based dispersion has been investigated at different solid loadings (up to 10 wt% for water-based dispersion and 5 wt% in glycerol-based dispersion) and viscosity of continuous phase (1-100 mPa.s). Breakup mechanism and kinetics have been studied at optimized operating conditions and no significant effect is found at different solid loadings on breakup mechanism. Particle size measurements are reported and found that volume of fine generation increased with an increase in sonication time. Further, it is observed that the stability of dispersion in the liquid is very high even at high concentration of solid used. Larger agglomerates are found at high viscosity of continuous phase and a lag is also observed for 100 mPa.s glycerol solution even at low solid loading (1 wt%). From, rheological characterizations it is found that the behavior of dispersed solution changed with time, temperature and solid loading. Erosion is found to be the breakup mechanism and further, validated with scattering light characterization. Furthermore, power draw increased with an increase in the viscosity of continuous phase, however, no significant effect of solid loading is observed. It is also observed that process is more energy-efficient at higher solid loading as the volume of fine produced is more as compared to low solid loading. Therefore, it can be concluded that the stable and uniform dispersion of nanoparticles can be achieved using an ultra-sonication device at high solid loading in viscous liquids.
    Language English
    Publishing date 2020-03-12
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1208333-1
    ISSN 1873-2828 ; 1350-4177
    ISSN (online) 1873-2828
    ISSN 1350-4177
    DOI 10.1016/j.ultsonch.2020.105061
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: A Single Centre Experience of Effective Desensitization Strategy for Children with High Anti-HLA Donor-Specific Antibodies Undergoing Haploidentical Hematopoietic Stem Cell Transplantation.

    Kumar, Vimal / Bharadwaj, Rishab / Sachan, Deepti / Munirathnam, Deenadayalan

    Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion

    2023  Volume 40, Issue 2, Page(s) 335–339

    Abstract: To assess the incidence of anti-HLA donor-specific antibodies and the effectiveness of desensitization strategy in children who underwent haploidentical HSCT at our hospital. A retrospective review, management and outcomes of children with positive anti- ... ...

    Abstract To assess the incidence of anti-HLA donor-specific antibodies and the effectiveness of desensitization strategy in children who underwent haploidentical HSCT at our hospital. A retrospective review, management and outcomes of children with positive anti-HLA DSA who underwent haploidentical HSCT at our hospital from 2020 to 2022. Three patients with Thalassemia major were treated with 2 cycles of pretransplant immune suppression (PTIS) comprising Fludarabine and Dexamethasone in addition to desensitization. Five out of the 26 children who underwent haploidentical HSCT had positive anti-HLA DSA. Post desensitization, three out of the 5 children engrafted with sustained full donor chimerism, 1 patient developed primary graft rejection, while 1 patient died. It is feasible to desensitize children with high anti-HLA donor specific antibodies undergoing haploidentical HSCT to improve outcomes.
    Language English
    Publishing date 2023-06-20
    Publishing country India
    Document type Journal Article
    ZDB-ID 2422370-0
    ISSN 0974-0449 ; 0971-4502
    ISSN (online) 0974-0449
    ISSN 0971-4502
    DOI 10.1007/s12288-023-01661-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: ADMIn

    Kumar, Vimal / Mayo, Juliette / Bahiss, Khadija

    Attacks on Dataset, Model and Input. A Threat Model for AI Based Software

    2024  

    Abstract: Machine learning (ML) and artificial intelligence (AI) techniques have now become commonplace in software products and services. When threat modelling a system, it is therefore important that we consider threats unique to ML and AI techniques, in ... ...

    Abstract Machine learning (ML) and artificial intelligence (AI) techniques have now become commonplace in software products and services. When threat modelling a system, it is therefore important that we consider threats unique to ML and AI techniques, in addition to threats to our software. In this paper, we present a threat model that can be used to systematically uncover threats to AI based software. The threat model consists of two main parts, a model of the software development process for AI based software and an attack taxonomy that has been developed using attacks found in adversarial AI research. We apply the threat model to two real life AI based software and discuss the process and the threats found.
    Keywords Computer Science - Cryptography and Security ; K.6.5
    Publishing date 2024-01-15
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Therapeutic proteins: developments, progress, challenges, and future perspectives.

    Kumar, Vimal / Barwal, Arti / Sharma, Nitin / Mir, Danish Shafi / Kumar, Pradeep / Kumar, Vikas

    3 Biotech

    2024  Volume 14, Issue 4, Page(s) 112

    Abstract: Proteins are considered magic molecules due to their enormous applications in the health sector. Over the past few decades, therapeutic proteins have emerged as a promising treatment option for various diseases, particularly cancer, cardiovascular ... ...

    Abstract Proteins are considered magic molecules due to their enormous applications in the health sector. Over the past few decades, therapeutic proteins have emerged as a promising treatment option for various diseases, particularly cancer, cardiovascular disease, diabetes, and others. The formulation of protein-based therapies is a major area of research, however, a few factors still hinder the large-scale production of these therapeutic products, such as stability, heterogenicity, immunogenicity, high cost of production, etc. This review provides comprehensive information on various sources and production of therapeutic proteins. The review also summarizes the challenges currently faced by scientists while developing protein-based therapeutics, along with possible solutions. It can be concluded that these proteins can be used in combination with small molecular drugs to give synergistic benefits in the future.
    Language English
    Publishing date 2024-03-18
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2600522-0
    ISSN 2190-5738 ; 2190-572X
    ISSN (online) 2190-5738
    ISSN 2190-572X
    DOI 10.1007/s13205-024-03958-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Clinical Profile of Hepatitis Associated Aplastic Anemia (HAAA) in Six Children.

    Bharadwaj, Rishab / Menon, Jagadeesh / Kumar, Vimal / Shanmugam, Naresh / Munirathnam, Deenadayalan

    Indian pediatrics

    2023  Volume 60, Issue 5, Page(s) 410–411

    MeSH term(s) Child ; Humans ; Anemia, Aplastic/complications ; Hepatitis ; Hepatitis A
    Language English
    Publishing date 2023-05-10
    Publishing country India
    Document type Letter
    ZDB-ID 402594-5
    ISSN 0974-7559 ; 0019-6061
    ISSN (online) 0974-7559
    ISSN 0019-6061
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Role of health literacy and primary health-care access in self-care management of hypertension.

    Nagarjuna, Pundla / Kumar, Vimal / Faujdar, Dharamjeet Singh / Yadav, Arun Kumar

    Indian journal of public health

    2023  Volume 67, Issue 3, Page(s) 442–447

    MeSH term(s) Adult ; Middle Aged ; Male ; Humans ; Female ; Aged ; Aged, 80 and over ; Health Literacy ; Cross-Sectional Studies ; Self Care ; India/epidemiology ; Hypertension/epidemiology ; Hypertension/therapy ; Surveys and Questionnaires ; Health Services Accessibility
    Language English
    Publishing date 2023-10-21
    Publishing country India
    Document type Journal Article
    ZDB-ID 800737-8
    ISSN 2229-7693 ; 0019-557X
    ISSN (online) 2229-7693
    ISSN 0019-557X
    DOI 10.4103/ijph.ijph_1704_22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Mapping the family incivility, dissatisfaction and organizational support after the COVID-19 outbreak.

    Rajak, Binod / Reddy, K Vidyullatha / Singh, Punam / Kumar, Vimal

    Work (Reading, Mass.)

    2023  

    Abstract: Background: Stress is a pivotal aspect of organizational psychology. Although an individual's attitude and behaviour at work have received greater investigation, scant attention has been given to family-related dynamics and their impact on work.: ... ...

    Abstract Background: Stress is a pivotal aspect of organizational psychology. Although an individual's attitude and behaviour at work have received greater investigation, scant attention has been given to family-related dynamics and their impact on work.
    Objective: This study contributes to understanding work-family dynamics by investigating the connection between family incivility and job dissatisfaction during the pandemic. Based on the conservation of resources theory, the research explores the potential moderating role of perceived organizational support.
    Methods: The investigation uses structural equation modelling (SEM) for data analysis while controlling for age, gender, and experience. Data has been collected with an adapted scale and time-lag technique in which the first wave encompassed independent variables and demographics. The second wave gathered moderator and dependent variables through a non-probability sampling of IT employees.
    Results: Findings reveal a significant positive link between family incivility and job dissatisfaction, implying higher family incivility is linked to increased job dissatisfaction. Moreover, the study indicates that organizational support can mitigate the negative impact of family incivility on job dissatisfaction.
    Conclusion: This research underscores the pivotal role of organizational support in enhancing employee job outcomes. Hence, organizations should prioritize employee well-being, recognizing it as an integral aspect of their functioning.
    Language English
    Publishing date 2023-12-29
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1394194-x
    ISSN 1875-9270 ; 1051-9815
    ISSN (online) 1875-9270
    ISSN 1051-9815
    DOI 10.3233/WOR-220690
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Primary neuroendocrine breast carcinoma

    Madhu Kumar / Akanksha Singh / Jitendra Kumar Vimal / Vijay Kumar

    Indian Journal of Health Sciences and Biomedical Research KLEU, Vol 15, Iss 2, Pp 176-

    A rare case report

    2022  Volume 179

    Abstract: Primary neuroendocrine carcinoma of the breast is a very rare occurrence accounting for <0.1% of all breast cancers. For the diagnosis, it requires the diffuse expression of neuroendocrine markers (chromogranin, synaptophysin, neuron-specific enolase) ... ...

    Abstract Primary neuroendocrine carcinoma of the breast is a very rare occurrence accounting for <0.1% of all breast cancers. For the diagnosis, it requires the diffuse expression of neuroendocrine markers (chromogranin, synaptophysin, neuron-specific enolase) and the lack of simultaneous neuroendocrine carcinoma in extramammary sites. The breast carcinomas with focal neuroendocrine differentiation are defined as scattered tumor cells that stain positive with neuroendocrine markers. These tumors are usually seen in elderly women around sixth or seventh decade of life, as reported in literatures. The high nuclear grade and regional lymph node metastasis was also significant negative prognostic factors for overall survival. We study a case of primary neuroendocrine carcinoma of breast in a 46-year-old lady, on the basis of histopathology and immunohistochemistry.
    Keywords breast ; lymph node metastases ; neuroendocrine carcinoma ; neuroendocrine markers ; Medicine ; R
    Subject code 616
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Wolters Kluwer Medknow Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Advancements in enhancing cyber-physical system security: Practical deep learning solutions for network traffic classification and integration with security technologies.

    Gaba, Shivani / Budhiraja, Ishan / Kumar, Vimal / Makkar, Aaisha

    Mathematical biosciences and engineering : MBE

    2022  Volume 21, Issue 1, Page(s) 1527–1553

    Abstract: Traditional network analysis frequently relied on manual examination or predefined patterns for the detection of system intrusions. As soon as there was increase in the evolution of the internet and the sophistication of cyber threats, the ability for ... ...

    Abstract Traditional network analysis frequently relied on manual examination or predefined patterns for the detection of system intrusions. As soon as there was increase in the evolution of the internet and the sophistication of cyber threats, the ability for the identification of attacks promptly became more challenging. Network traffic classification is a multi-faceted process that involves preparation of datasets by handling missing and redundant values. Machine learning (ML) models have been employed to classify network traffic effectively. In this article, we introduce a hybrid Deep learning (DL) model which is designed for enhancing the accuracy of network traffic classification (NTC) within the domain of cyber-physical systems (CPS). Our novel model capitalizes on the synergies among CPS, network traffic classification (NTC), and DL techniques. The model is implemented and evaluated in Python, focusing on its performance in CPS-driven network security. We assessed the model's effectiveness using key metrics such as accuracy, precision, recall, and F1-score, highlighting its robustness in CPS-driven security. By integrating sophisticated hybrid DL algorithms, this research contributes to the resilience of network traffic classification in the dynamic CPS environment.
    Language English
    Publishing date 2022-12-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2265126-3
    ISSN 1551-0018 ; 1551-0018
    ISSN (online) 1551-0018
    ISSN 1551-0018
    DOI 10.3934/mbe.2024066
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: The performance improvement analysis using Six Sigma DMAIC methodology: A case study on Indian manufacturing company

    Mittal, Ankesh / Gupta, Pardeep / Kumar, Vimal / Al Owad, Ali / Mahlawat, Seema / Singh, Sumanjeet

    Heliyon. 2023 Mar., v. 9, no. 3 p.e14625-

    2023  

    Abstract: The six-sigma methodology has been adopted by the industry as a business management tool to improve operational capabilities and reduce defects in any process. This study aims to present a case study on the implementation of the Six-Sigma DMAIC ... ...

    Abstract The six-sigma methodology has been adopted by the industry as a business management tool to improve operational capabilities and reduce defects in any process. This study aims to present a case study on the implementation of the Six-Sigma DMAIC methodology with the purpose to reduce the rejection rate of rubber weather strips manufactured by XYZ Ltd. (name changed) situated in Gurugram, India. Weather strips are used in all four doors of cars for noise reduction, waterproofing, dust proofing, soundproofing, windproofing, and for improving air conditioning cooling, and heating effects. The overall rejection rate of both front and rear door rubber weather strips was 5.5% which was causing a huge loss to the company. The average rejection rate of rubber weather strips per day reduced from 5.5% to 3.08%. After implementing the Six-Sigma project findings the rejection was reduced from 153 pieces to 68 pieces helped the industry in saving the cost of a compound by Rs. 15,249 per month. The sigma level improved from 3.9 to 4.45 within three months with the implementation of one Six-Sigma project solution. The company was highly concerned about reducing the high rejection rate of rubber weather strips and decided to deploy Six Sigma DMAIC as a quality improvement tool. The industry was keen to reduce this high rejection rate to 2% and this target was materialized with the application of the Six-Sigma DMAIC methodology. The novelty of this study is to analyze performance improvement considering the Six Sigma DMAIC methodology to reduce the rejection rate of rubber weather strip manufacturing companies.
    Keywords air ; business management ; case studies ; cooling ; dust ; industry ; rubber ; weather ; India ; Six Sigma ; DMAIC ; Business improvement ; Customer satisfaction ; Productivity
    Language English
    Dates of publication 2023-03
    Publishing place Elsevier Ltd
    Document type Article ; Online
    Note Use and reproduction
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e14625
    Database NAL-Catalogue (AGRICOLA)

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