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  1. Article ; Online: Synthesis of

    Mittal, Ayushi / Aarti / Vats, Sudhanshu / Zabihi, Fatemeh / Achazi, Katharina / Rancan, Fiorenza / Vogt, Anika / Haag, Rainer / Sharma, Sunil K

    Soft matter

    2024  Volume 20, Issue 6, Page(s) 1282–1292

    Abstract: ... ...

    Abstract C
    MeSH term(s) Humans ; HeLa Cells ; Drug Delivery Systems ; Micelles ; Fluorescent Dyes/chemistry
    Chemical Substances Micelles ; Fluorescent Dyes
    Language English
    Publishing date 2024-02-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2191476-X
    ISSN 1744-6848 ; 1744-683X
    ISSN (online) 1744-6848
    ISSN 1744-683X
    DOI 10.1039/d3sm01388j
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  2. Article ; Online: Forecasting High Speed Diesel Demand in India with Econometric and Machine Learning Methods

    Aarti Mehta Sharma / Saina Baby / Varsha Raghu

    International Journal of Energy Economics and Policy, Vol 14, Iss

    2024  Volume 1

    Abstract: According to International Energy Agency (IEA), India is expected to surpass China by 2024 to become the second largest consumer of oil in the world followed by the United States. High-Speed Diesel (HSD) has the biggest share in the total petroleum ... ...

    Abstract According to International Energy Agency (IEA), India is expected to surpass China by 2024 to become the second largest consumer of oil in the world followed by the United States. High-Speed Diesel (HSD) has the biggest share in the total petroleum products consumed in India accounting for around 38% of the total consumption. Considering the volatile global oil market and an oil import dependency ratio of more than 80% during the last four years, the probability of supply disruptions is high in the Indian context. As any uncertainty about the supply of diesel can affect the smooth functioning of the economy and may create inflationary pressures. Accurate forecasting of HSD demand will be essential for appropriate supply management arrangements. Artificial Neural Networks (ANN) with Multi-Layer Perceptron (MLP) and extreme learning machines is used for forecasting diesel demand in this study. Demand forecasting has been carried out using monthly HSD demand data drawn from the “Indiastat” database for the period 1991-2022. Comparison of ANN with traditional forecasting methods of Autoregressive Integrated Moving Average(ARIMA)and Exponential Smoothing has also been undertaken in this study. This study identifies the deep learning technique of ANN with MLP as the best diesel demand forecasting technique.
    Keywords High Speed Diesel ; Forecasting ; Time Series ; ANN ; Accuracy ; ARIMA ; Exponential Smoothing ; Environmental sciences ; GE1-350 ; Energy industries. Energy policy. Fuel trade ; HD9502-9502.5
    Subject code 690
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher EconJournals
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Small biopsies in the head and neck: Bone and soft tissue.

    Sharma, Aarti E / Kerr, Darcy A / Cipriani, Nicole A

    Seminars in diagnostic pathology

    2023  Volume 40, Issue 5, Page(s) 353–370

    Abstract: Bone and soft tissue lesions in the head and neck encompass not only a broad morphologic spectrum but also significant inherent clinicopathologic overlap. Epidemiology, radiology, and location - similar to the diagnostic assessment in other sites - are ... ...

    Abstract Bone and soft tissue lesions in the head and neck encompass not only a broad morphologic spectrum but also significant inherent clinicopathologic overlap. Epidemiology, radiology, and location - similar to the diagnostic assessment in other sites - are especially important considerations in the context of an established mesenchymal proliferation. Herein, the approach towards diagnosis is stratified by morphology (spindle, sarcomatoid, epithelioid, round cell), cellular lineage (fibroblastic, nerve sheath, rhabdomyogenic), and tumor grade (benign, low- to high-grade malignant) as the basis of further immunohistochemical or molecular investigation.
    MeSH term(s) Humans ; Soft Tissue Neoplasms/pathology ; Sarcoma ; Biopsy ; Biomarkers, Tumor
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2023-06-29
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 605834-6
    ISSN 1930-1111 ; 0740-2570
    ISSN (online) 1930-1111
    ISSN 0740-2570
    DOI 10.1053/j.semdp.2023.06.003
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  4. Article ; Online: Decoding Loin Pain Hematuria Syndrome: In-Depth Review of Clinical Characteristics and Family History.

    Prasad, Bhanu / Sharma, Aditi / Garg, Aarti / Dokouhaki, Pouneh / Lanktree, Mathew B

    Kidney international reports

    2023  Volume 8, Issue 12, Page(s) 2826–2829

    Language English
    Publishing date 2023-09-07
    Publishing country United States
    Document type Journal Article
    ISSN 2468-0249
    ISSN (online) 2468-0249
    DOI 10.1016/j.ekir.2023.08.040
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  5. Article: Morphological and physiological changes induced by

    Sharma, Aarti / Mishra, Monika / Dagar, Vinay Singh / Kumar, Sarita

    Frontiers in physiology

    2022  Volume 13, Page(s) 1031285

    Abstract: ... Aedes ... ...

    Abstract Aedes aegypti
    Language English
    Publishing date 2022-10-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2022.1031285
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  6. Article ; Online: GRM1

    Machado, Isidro / Zhang, Yanming / Hameed, Meera / Hwang, Sinchun / Sharma, Aarti E / Bilsky, Mark H / Linos, Konstantinos

    International journal of surgical pathology

    2024  , Page(s) 10668969241229345

    Abstract: The clinical, radiological, and histopathological features of chondromyxoid fibroma can sometimes resemble those of other benign or malignant tumors. Recently, ... ...

    Abstract The clinical, radiological, and histopathological features of chondromyxoid fibroma can sometimes resemble those of other benign or malignant tumors. Recently, recurrent
    Language English
    Publishing date 2024-02-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1336393-1
    ISSN 1940-2465 ; 1066-8969
    ISSN (online) 1940-2465
    ISSN 1066-8969
    DOI 10.1177/10668969241229345
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  7. Article: Medical lessons from a historical case: The disappearance of King Charles IV.

    Sharma, Aarti Rani

    JRSM cardiovascular disease

    2019  Volume 8, Page(s) 2048004019872371

    Abstract: Traumatic injury to the brain and its vessels is a major part of medical practice across the world. Its management however has long historical origins, but those beginnings can still teach clinical practitioners about the basic care of an injured patient. ...

    Abstract Traumatic injury to the brain and its vessels is a major part of medical practice across the world. Its management however has long historical origins, but those beginnings can still teach clinical practitioners about the basic care of an injured patient. We present a little known historical medical case that to this day provides an example of best practice management resulting in successful clinical outcome. Charles IV (1316-1378) was Holy Roman Emperor between 1347 and 1378. During his reign, he disappeared for four months and returned a disfigured hunchback. There has been considerable controversy as to the cause of both his physical change and disappearance. We propose the most likely cause is from an unfortunate consequence of his love of jousting. Despite the damage and management of the traumatic injury endured by Charles IV occurring over 600 years ago, there are still lessons of his clinical management relevant to this day.
    Language English
    Publishing date 2019-09-04
    Publishing country England
    Document type Case Reports
    ISSN 2048-0040
    ISSN 2048-0040
    DOI 10.1177/2048004019872371
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  8. Article ; Online: VirulentPred 2.0: An improved method for prediction of virulent proteins in bacterial pathogens.

    Sharma, Arun / Garg, Aarti / Ramana, Jayashree / Gupta, Dinesh

    Protein science : a publication of the Protein Society

    2023  Volume 32, Issue 12, Page(s) e4808

    Abstract: Virulence proteins in pathogens are essential for causing disease in a host. They enable the pathogen to invade, survive and multiply within the host, thus enhancing its potential to cause disease while also causing evasion of host defense mechanisms. ... ...

    Abstract Virulence proteins in pathogens are essential for causing disease in a host. They enable the pathogen to invade, survive and multiply within the host, thus enhancing its potential to cause disease while also causing evasion of host defense mechanisms. Identifying these factors, especially potential vaccine candidates or drug targets, is critical for vaccine or drug development research. In this context, we present an improved version of VirulentPred 1.0 for rapidly identifying virulent proteins. The VirulentPred 2.0 is based on training machine learning models with experimentally validated virulent protein sequences. VirulentPred 2.0 achieved 84.71% accuracy with the validation dataset and 85.18% on an independent test dataset. The models are trained and evaluated with the latest sequence datasets of virulent proteins, which are three times greater in number than the proteins used in the earlier version of VirulentPred. Moreover, a significant improvement of 11% in the prediction accuracy over the earlier version is achieved with the best position-specific scoring matrix (PSSM)-based model for the latest test dataset. VirulentPred 2.0 is available as a user-friendly web interface at https://bioinfo.icgeb.res.in/virulent2/ and a standalone application suitable for bulk predictions. With higher efficiency and availability as a standalone tool, VirulentPred 2.0 holds immense potential for high throughput yet efficient identification of virulent proteins in bacterial pathogens.
    MeSH term(s) Bacteria/genetics ; Bacterial Proteins/genetics ; Virulence ; Virulence Factors ; Vaccines
    Chemical Substances Bacterial Proteins ; Virulence Factors ; Vaccines
    Language English
    Publishing date 2023-10-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1106283-6
    ISSN 1469-896X ; 0961-8368
    ISSN (online) 1469-896X
    ISSN 0961-8368
    DOI 10.1002/pro.4808
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    Zs.A 3407: Show issues Location:
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  9. Article ; Online: Cerebral Autoregulation: Igniting the Debate on Therapeutic Focus.

    Sarwal, Aarti / Robba, Chiara / Venegas, Carla / Ziai, Wendy / Czosnyka, Marek / Sharma, Deepak

    Neurocritical care

    2023  Volume 39, Issue 3, Page(s) 738–739

    MeSH term(s) Humans ; Brain ; Blood Pressure ; Homeostasis ; Cerebrovascular Circulation
    Language English
    Publishing date 2023-09-19
    Publishing country United States
    Document type Letter
    ZDB-ID 2381896-7
    ISSN 1556-0961 ; 1541-6933
    ISSN (online) 1556-0961
    ISSN 1541-6933
    DOI 10.1007/s12028-023-01841-y
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    Zs.A 6538: Show issues Location:
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  10. Article ; Online: Process optimization for spray dried Aegle marmelos fruit nanomucilage: Characterization, functional properties, and in vitro antibiofilm activity against food pathogenic microorganisms.

    Sharma, Madhu / Bains, Aarti / Sridhar, Kandi / Chawla, Prince / Sharma, Minaxi

    International journal of biological macromolecules

    2023  Volume 249, Page(s) 126050

    Abstract: Recently, mucilage extraction from plant sources has been remarkably explored due to its potential applications. Several underutilized fruits such as Aegle marmelos are the potential source of mucilage that can be utilized for agri-food-pharma ... ...

    Abstract Recently, mucilage extraction from plant sources has been remarkably explored due to its potential applications. Several underutilized fruits such as Aegle marmelos are the potential source of mucilage that can be utilized for agri-food-pharma applications. Therefore, in this study, we explored vital functional and antimicrobial properties of Aegle marmelos nanomucilage. Spray drying conditions such as inlet temperature, feed flow, and atomization speed were optimized to assess the influence on yield and moisture content using response surface methodology. In addition, during the optimized spray drying conditions, the maximum mucilage yield was 16.23 % (w/w). The particle size (178.4 ± 5.06 nm) at the nanoscale, polydispersity index (0.432), and zeta potential (-16.4 ± 1.14 mV) confirmed the stability of the nanomucilage. Moreover, the spray-dried nanomucilage powder exhibited high thermal stability (55.70 J) and excellent industrially important techno-functional properties with water-holding capacity (8.01 ± 0.04 g/g), oil-holding capacity (3.43 ± 0.7 g/g), emulsifying capacity (91.50 ± 0.78 %), emulsifying stability (92.65 ± 0.46 %), solubility (89.36 ± 1.69 %), and foaming capacity (16.13 ± 0.41 %). Moreover, the powder showed strong antibiofilm activity against food-pathogenic bacteria, including Escherichia coli (73.52 ± 1.14 %) and Staphylococcus aureus (79.57 ± 1.23 %), with minimum inhibitory concentrations of 3.125 mg/mL and 1.562 mg/mL respectively. Overall, based on the above findings the spray-dried powder of Aegle marmelos fruit nanomucilage could be utilized as a potential functional ingredient in various food products formulations.
    MeSH term(s) Fruit ; Aegle ; Powders ; Anti-Infective Agents/pharmacology ; Biofilms
    Chemical Substances Powders ; Anti-Infective Agents
    Language English
    Publishing date 2023-07-28
    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.2023.126050
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