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  1. Article: Novel Technique of Managing an Ectopic Hemiscrotum and Testis.

    Rai, B Sandeep

    Journal of Indian Association of Pediatric Surgeons

    2024  Volume 29, Issue 1, Page(s) 84

    Language English
    Publishing date 2024-01-12
    Publishing country India
    Document type Journal Article
    ZDB-ID 2164528-0
    ISSN 1998-3891 ; 0971-9261
    ISSN (online) 1998-3891
    ISSN 0971-9261
    DOI 10.4103/jiaps.jiaps_206_23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book: Evidence based forensic dentistry

    Rai, Balwant / Kaur, Jasdeep

    2013  

    Title variant Evidence-based forensic dentistry
    Author's details Balwant Rai ; Jasdeep Kaur
    Keywords Gerichtliche Zahnmedizin ; Evidenz-basierte Medizin
    Subject Evidence-based medicine ; Gutachtenbasierte Medizin ; Evidenzbasierte Medizin ; Forensische Zahnmedizin
    Language English
    Size VII, 206 S. : Ill., graph. Darst.
    Publisher Springer
    Publishing place Heidelberg u.a.
    Publishing country Germany
    Document type Book
    HBZ-ID HT017397735
    ISBN 978-3-642-28993-4 ; 3-642-28993-2 ; 9783642289941 ; 3642289940
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2012 A 3858 order for loan Magazin

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  3. Article: Practical aspects of palliative care & palliative radiotherapy in incurable cervical cancer.

    George, Reena / Rai, Bhavana

    The Indian journal of medical research

    2022  Volume 154, Issue 2, Page(s) 262–266

    Abstract: Cervical cancer is the most common cause of cancer-related deaths among economically disadvantaged women. The symptoms of pain, discharge, constipation, foul smell, insomnia and depression can be controlled with inexpensive medicines such as oral ... ...

    Abstract Cervical cancer is the most common cause of cancer-related deaths among economically disadvantaged women. The symptoms of pain, discharge, constipation, foul smell, insomnia and depression can be controlled with inexpensive medicines such as oral morphine, maintenance oral metronidazole, antidepressants and laxatives. These medications should be prescribed according to the palliative care guidelines and titrated to the individual patient's clinical response, pathophysiology, and metabolic parameters. A hypothetical clinical scenario illustrates some aspects of pain and symptom management, inter-disciplinary palliative care, medical ethics and communication needs in low-resource settings. Palliative radiotherapy is a cost-effective intervention to reduce vaginal discharge, bleeding, pressure effects and nociceptive or neuropathic pain caused by pelvic and para-aortic disease. The role of palliative radiotherapy in patients with malignant fistulae is discussed and the literature on hypo-fractionated pelvic radiotherapy is briefly reviewed.
    MeSH term(s) Female ; Humans ; Pain ; Palliative Care ; Pelvis/pathology ; Uterine Cervical Neoplasms/pathology ; Uterine Cervical Neoplasms/radiotherapy
    Language English
    Publishing date 2022-01-08
    Publishing country India
    Document type Journal Article ; Review
    ZDB-ID 390883-5
    ISSN 0971-5916 ; 0019-5340
    ISSN 0971-5916 ; 0019-5340
    DOI 10.4103/ijmr.IJMR_1642_20
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.143: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Invasive group A streptococcal disease.

    Varughese, Joannu Ann / Katre, Mahesh / Rai, Birendra / Mallick, Debkrishna

    BMJ case reports

    2024  Volume 17, Issue 1

    Abstract: We report on two children who had presented in a poor clinical state after an initial bout of cough, sore throat and fever for a few days. Both of them had multisystemic involvement with fluid-refractory septic shock requiring ionotropic support, ... ...

    Abstract We report on two children who had presented in a poor clinical state after an initial bout of cough, sore throat and fever for a few days. Both of them had multisystemic involvement with fluid-refractory septic shock requiring ionotropic support, intubation and care in the paediatric intensive care unit. Recent significant rise in scarlet fever has led to a significant increase in the number of invasive group A streptococcal infections with increased mortality in paediatric patients. Both of them had co-infection with influenza, which could have led to an increased risk of invasive group A streptococcal (iGAS) infection. After prompt treatment, including early initiation of antibiotics, they both recovered well. To our knowledge, there are no reported cases of iGAS infection from the UK in any medical journal though the fatal cases have been reported to the health statistics department by various National Health Service trusts individually.
    MeSH term(s) Humans ; Child ; State Medicine ; Streptococcal Infections/complications ; Streptococcal Infections/diagnosis ; Streptococcal Infections/drug therapy ; Anti-Bacterial Agents/therapeutic use ; Cognition ; Coinfection
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2024-01-08
    Publishing country England
    Document type Case Reports ; Journal Article
    ISSN 1757-790X
    ISSN (online) 1757-790X
    DOI 10.1136/bcr-2023-254646
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Classification of tastants: A deep learning based approach.

    Dutta, Prantar / Jain, Deepak / Gupta, Rakesh / Rai, Beena

    Molecular informatics

    2023  Volume 42, Issue 12, Page(s) e202300146

    Abstract: Predicting the taste of molecules is of critical importance in the food and beverages, flavor, and pharmaceutical industries for the design and screening of new tastants. In this work, we have built deep learning models to classify sweet, bitter, and ... ...

    Abstract Predicting the taste of molecules is of critical importance in the food and beverages, flavor, and pharmaceutical industries for the design and screening of new tastants. In this work, we have built deep learning models to classify sweet, bitter, and umami molecules- the three basic tastes whose sensation is mediated by G protein-coupled receptors. An extensive dataset containing 1466 bitter, 1764 sweet, and 238 umami tastants was curated from existing literature. We analyzed the chemical characteristics of the molecules, with special focus on the presence of different functional groups. A deep neural network model based on molecular descriptors and a graph neural network model were trained for taste prediction. The class imbalance due to fewer umami molecules was tackled using special sampling techniques. Both models show comparable performance during evaluation, but the graph-based model can learn task-specific representations from the molecular structure without requiring handcrafted features. We further explain the deep neural network predictions using Shapley additive explanations. Finally, we demonstrated the applicability of the models by screening bitter, sweet, and umami molecules from a large food database. This study develops an in-silico approach to classify molecules based on their taste by leveraging the recent progress in deep learning, which can serve as a powerful tool for tastant design.
    MeSH term(s) Deep Learning ; Taste/physiology ; Receptors, G-Protein-Coupled
    Chemical Substances Receptors, G-Protein-Coupled
    Language English
    Publishing date 2023-11-09
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2537668-8
    ISSN 1868-1751 ; 1868-1743
    ISSN (online) 1868-1751
    ISSN 1868-1743
    DOI 10.1002/minf.202300146
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Elucidating collective translocation of nanoparticles across the skin lipid matrix: a molecular dynamics study.

    Badhe, Yogesh / Sharma, Pradyumn / Gupta, Rakesh / Rai, Beena

    Nanoscale advances

    2023  Volume 5, Issue 7, Page(s) 1978–1989

    Abstract: The top layer of skin, the stratum corneum, provides a formidable barrier to the skin. Nanoparticles are utilized and further explored for personal and health care applications related to the skin. In the past few years, several researchers have studied ... ...

    Abstract The top layer of skin, the stratum corneum, provides a formidable barrier to the skin. Nanoparticles are utilized and further explored for personal and health care applications related to the skin. In the past few years, several researchers have studied the translocation and permeation of nanoparticles of various shapes, sizes, and surface chemistry through cell membranes. Most of these studies focused on a single nanoparticle and a simple bilayer system, whereas skin has a highly complex lipid membrane architecture. Moreover, it is highly unlikely that a nanoparticle formulation applied on the skin will not have multiple nanoparticle-nanoparticle and skin-nanoparticle interactions. In this study, we have utilized coarse-grained MARTINI molecular dynamics simulations to assess the interactions of two types (bare and dodecane-thiol coated) of nanoparticles with two models (single bilayer and double bilayer) of skin lipid membranes. The nanoparticles were found to be partitioned from the water layer to the lipid membrane as an individual entity as well as in the cluster form. It was discovered that each nanoparticle reached the interior of both single bilayer and double bilayer membranes irrespective of the nanoparticle type and concentration, though coated particles were observed to efficiently traverse across the bilayer when compared with bare particles. The coated nanoparticles also created a single large cluster inside the membrane, whereas the bare nanoparticles were found in small clusters. Both the nanoparticles exhibited preferential interactions with cholesterol molecules present in the lipid membrane as compared to other lipid components of the membrane. We have also observed that the single membrane model exhibited unrealistic instability at moderate to higher concentrations of nanoparticles, and hence for translocation study, a minimum double bilayer model should be employed.
    Language English
    Publishing date 2023-02-03
    Publishing country England
    Document type Journal Article
    ISSN 2516-0230
    ISSN (online) 2516-0230
    DOI 10.1039/d2na00241h
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: TRAIL and EGFR Pathways Targeting microRNAs are Predominantly Regulated in Human Diabetic Nephropathy.

    Rai, Bhuvnesh / Pande, Akshara / Tiwari, Swasti

    MicroRNA (Shariqah, United Arab Emirates)

    2023  Volume 12, Issue 2, Page(s) 143–155

    Abstract: Background: Unbiased microRNA profiling of renal tissue and urinary extracellular vesicles (uEVs) from diabetic nephropathy (DN) subjects may unravel novel targets with diagnostic and therapeutic potential. Here we used the miRNA profile of uEVs and ... ...

    Abstract Background: Unbiased microRNA profiling of renal tissue and urinary extracellular vesicles (uEVs) from diabetic nephropathy (DN) subjects may unravel novel targets with diagnostic and therapeutic potential. Here we used the miRNA profile of uEVs and renal biopsies from DN subjects available on the GEO database.
    Methods: The miR expression profiles of kidney tissue (GSE51674) and urinary exosomes (GSE48318) from DN and control subjects were obtained by GEO2R tools from Gene Expression Omnibus (GEO) databases. Differentially expressed miRNAs in DN samples, relative to controls, were identified using a bioinformatic pipeline. Targets of miRs commonly regulated in both sample types were predicted by miRWalk, followed by functional gene enrichment analysis. Gene targets were identified by MiRTarBase, TargetScan and MiRDB.
    Results: Eight miRs, including let-7c, miR-10a, miR-10b and miR-181c, were significantly regulated in kidney tissue and uEVs in DN subjects versus controls. The top 10 significant pathways targeted by these miRs included TRAIL, EGFR, Proteoglycan syndecan, VEGF and Integrin Pathway. Gene target analysis by miRwalk upon validation using ShinyGO 70 targets with significant miRNA-mRNA interaction.
    Conclusion: In silico analysis showed that miRs targeting TRAIL and EGFR signaling are predominately regulated in uEVs and renal tissue of DN subjects. After wet-lab validation, the identified miRstarget pairs may be explored for their diagnostic and/or therapeutic potential in diabetic nephropathy.
    MeSH term(s) Humans ; MicroRNAs/genetics ; Diabetic Nephropathies/genetics ; Diabetic Nephropathies/diagnosis ; Diabetic Nephropathies/metabolism ; Exosomes/metabolism ; Extracellular Vesicles ; ErbB Receptors/metabolism ; Diabetes Mellitus
    Chemical Substances MicroRNAs ; ErbB Receptors (EC 2.7.10.1) ; EGFR protein, human (EC 2.7.10.1)
    Language English
    Publishing date 2023-04-04
    Publishing country United Arab Emirates
    Document type Journal Article
    ISSN 2211-5374
    ISSN (online) 2211-5374
    DOI 10.2174/2211536612666230407093841
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: The Functional Role of microRNAs and mRNAs in Diabetic Kidney Disease: A Review.

    Rai, Bhuvnesh / Srivastava, Jyotika / Saxena, Pragati

    Current diabetes reviews

    2023  

    Abstract: Diabetes is a group of diseases marked by poor control of blood glucose levels. Diabetes mellitus (DM) occurs when pancreatic cells fail to make insulin, which is required to keep blood glucose levels stable, disorders, and so on. High glucose levels in ... ...

    Abstract Diabetes is a group of diseases marked by poor control of blood glucose levels. Diabetes mellitus (DM) occurs when pancreatic cells fail to make insulin, which is required to keep blood glucose levels stable, disorders, and so on. High glucose levels in the blood induce diabetic effects, which can cause catastrophic damage to bodily organs such as the eyes and lower extremities. Diabetes is classified into many forms, one of which is controlled by hyperglycemia or Diabetic Kidney Disease (DKD), and another that is not controlled by hyperglycemia (nondiabetic kidney disease or NDKD) and is caused by other factors such as hypertension, hereditary. DKD is associated with diabetic nephropathy (DN), a leading cause of chronic kidney disease (CKD) and end-stage renal failure. The disease is characterized by glomerular basement membrane thickening, glomerular sclerosis, and mesangial expansion, resulting in a progressive decrease in glomerular filtration rate, glomerular hypertension, and renal failure or nephrotic syndrome. It is also represented by some microvascular complications such as nerve ischemia produced by intracellular metabolic changes, microvascular illness, and the direct impact of excessive blood glucose on neuronal activity. Therefore, DKD-induced nephrotic failure is worse than NDKD. MicroRNAs (miRNAs) are important in the development and progression of several diseases, including diabetic kidney disease (DKD). These dysregulated miRNAs can impact various cellular processes, including inflammation, fibrosis, oxidative stress, and apoptosis, all of which are implicated during DKD. MiRNAs can alter the course of DKD by targeting several essential mechanisms. Understanding the miRNAs implicated in DKD and their involvement in disease development might lead to identifying possible therapeutic targets for DKD prevention and therapy. Therefore, this review focuses specifically on DKD-associated DN, as well as how in-silico approaches may aid in improving the management of the disease.
    Language English
    Publishing date 2023-10-20
    Publishing country United Arab Emirates
    Document type Journal Article
    ISSN 1875-6417
    ISSN (online) 1875-6417
    DOI 10.2174/0115733998270983231009094216
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Modified variational autoencoder for inversely predicting plasmonic nanofeatures for generating structural color.

    Pillai, Prajith / Rai, Beena / Pal, Parama

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 3536

    Abstract: We apply a modified variational autoencoder (VAE) regressor for inversely retrieving the topological parameters of the building blocks of plasmonic composites for generating structural colors as per requirement. We demonstrate results of a comparison ... ...

    Abstract We apply a modified variational autoencoder (VAE) regressor for inversely retrieving the topological parameters of the building blocks of plasmonic composites for generating structural colors as per requirement. We demonstrate results of a comparison study between inverse models based on generative VAEs as well as conventional tandem networks that have been favored traditionally. We describe our strategy for improving the performance of our model by filtering the simulated dataset prior to training. The VAE- based inverse model links the electromagnetic response expressed as the structural color to the geometrical dimensions from the latent space using a multilayer perceptron regressor and shows better accuracy over a conventional tandem inverse model.
    Language English
    Publishing date 2023-03-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-30069-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Effects of Segregation on the Catalytic Properties of AgAuCuPdPt High-Entropy Alloy for CO Reduction Reaction.

    Dahale, Chinmay / Goverapet Srinivasan, Sriram / Rai, Beena

    ACS applied materials & interfaces

    2023  

    Abstract: Multicomponent alloys are promising catalysts for diverse chemical conversions, owing to the ability to tune their vast compositional space to maximize catalytic activity and product selectivity. However, elemental segregation, whereby the surface or ... ...

    Abstract Multicomponent alloys are promising catalysts for diverse chemical conversions, owing to the ability to tune their vast compositional space to maximize catalytic activity and product selectivity. However, elemental segregation, whereby the surface or grain boundaries of the material are enriched in a few elements, is a physically observed phenomenon in such alloys. Such segregation alters not only the composition but also the kinds of catalytically active sites present at the surface. Thus, elemental segregation, which can be achieved via various processing techniques, can be used as an additional knob in searching for alloy compositions that are both active and selective for a target chemical conversion. We demonstrate this using molecular simulations, machine learning, and Bayesian optimization to search for both random solid solution and "segregated" AgAuCuPdPt alloy compositions that are potentially active and selective for CO reduction reaction (CORR). Finally, we validate our findings by computing the reaction-free energy landscape for the CORR on the optimal alloy compositions via density functional theory calculations.
    Language English
    Publishing date 2023-12-04
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.3c12775
    Database MEDical Literature Analysis and Retrieval System OnLINE

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