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  1. Book ; Online ; E-Book: Clinical melioidosis

    Raghab Mohapatra, Prasanta

    a practical guide to diagnosis and management

    2023  

    Abstract: Melioidosis is an endemic tropical disease and is fast becoming an emerging global concern. Its clinical mimicry with several other common diseases has made its diagnosis and treatment difficult. This book has identified a gap in literature and ... ...

    Author's details Prasanta Raghab Mohapatra
    Abstract Melioidosis is an endemic tropical disease and is fast becoming an emerging global concern. Its clinical mimicry with several other common diseases has made its diagnosis and treatment difficult. This book has identified a gap in literature and represents the management and diagnosis of this fatal but curable disease.
    Keywords Electronic books
    Language English
    Size 1 Online-Ressource (xx, 158 Seiten), Illustrationen, Diagramme
    Edition First edition
    Publisher CRC Press
    Publishing place Boca Raton, Taylor & Francis Group
    Publishing country United States
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT021876928
    ISBN 978-1-00-085648-4 ; 978-1-003-32401-0 ; 9781032348285 ; 9781032348278 ; 1-00-085648-8 ; 1-003-32401-0 ; 1032348283 ; 1032348275
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article: Fast random opposition-based learning Aquila optimization algorithm.

    Gopi, S / Mohapatra, Prabhujit

    Heliyon

    2024  Volume 10, Issue 4, Page(s) e26187

    Abstract: Meta-heuristic algorithms are usually employed to address a variety of challenging optimization problems. In recent years, there has been a continuous effort to develop new and efficient meta-heuristic algorithms. The Aquila Optimization (AO) algorithm ... ...

    Abstract Meta-heuristic algorithms are usually employed to address a variety of challenging optimization problems. In recent years, there has been a continuous effort to develop new and efficient meta-heuristic algorithms. The Aquila Optimization (AO) algorithm is a newly established swarm-based method that mimics the hunting strategy of Aquila birds in nature. However, in complex optimization problems, the AO has shown a sluggish convergence rate and gets stuck in the local optimal region throughout the optimization process. To overcome this problem, in this study, a new mechanism named Fast Random Opposition-Based Learning (FROBL) is combined with the AO algorithm to improve the optimization process. The proposed approach is called the FROBLAO algorithm. To validate the performance of the FROBLAO algorithm, the CEC 2005, CEC 2019, and CEC 2020 test functions, along with six real-life engineering optimization problems, are tested. Moreover, statistical analyses such as the Wilcoxon rank-sum test, the t-test, and the Friedman test are performed to analyze the significant difference between the proposed algorithm FROBLAO and other algorithms. The results demonstrate that FROBLAO achieved outstanding performance and effectiveness in solving an extensive variety of optimization problems.
    Language English
    Publishing date 2024-02-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e26187
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: American zebra optimization algorithm for global optimization problems.

    Mohapatra, Sarada / Mohapatra, Prabhujit

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 5211

    Abstract: A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization algorithm (AZOA), which mimics the social behaviour of American zebras in the wild, is proposed in this study. American zebras are distinguished from other mammals by ... ...

    Abstract A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization algorithm (AZOA), which mimics the social behaviour of American zebras in the wild, is proposed in this study. American zebras are distinguished from other mammals by their distinct and fascinating social character and leadership exercise, which navies the baby zebras to leave the herd before maturity and join a separate herd with no family ties. This departure of the baby zebra encourages diversification by preventing intra-family mating. Moreover, the convergence is assured by the leadership exercise in American zebras, which directs the speed and direction of the group. This social lifestyle behaviour of American zebras is indigenous in nature and is the main inspiration for proposing the AZOA meta-heuristic algorithm. To examine the efficiency of the AZOA algorithm, the CEC-2005, CEC-2017, and CEC-2019 benchmark functions are considered, and compared with the several state-of-the-art meta-heuristic algorithms. The experimental outcomes and statistical analysis reveal that AZOA is capable of attaining the optimal solutions for maximum benchmark functions while maintaining a good balance between exploration and exploitation. Furthermore, numerous real-world engineering problems have been employed to demonstrate the robustness of AZOA. Finally, it is anticipated that the AZOA will accomplish domineeringly for forthcoming advanced CEC benchmark functions and other complex engineering problems.
    MeSH term(s) Animals ; Algorithms ; Social Behavior ; Leadership ; Benchmarking ; Mammals
    Language English
    Publishing date 2023-03-30
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-31876-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Ligand structure and diluent nature in defining improved Am

    Kanekar, A S / Bhattacharyya, A / Mohapatra, P K

    Dalton transactions (Cambridge, England : 2003)

    2024  Volume 53, Issue 13, Page(s) 5871–5880

    Abstract: Separation of ... ...

    Abstract Separation of Am
    Language English
    Publishing date 2024-03-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472887-4
    ISSN 1477-9234 ; 1364-5447 ; 0300-9246 ; 1477-9226
    ISSN (online) 1477-9234 ; 1364-5447
    ISSN 0300-9246 ; 1477-9226
    DOI 10.1039/d3dt03261b
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Effects of black cumin-based antimalarial drug loaded with nano-emulsion of bovine and human serum albumins by spectroscopic and molecular docking studies

    Mohapatra, Priyadarshini / Chandrasekaran, Natarajan

    Heliyon. 2023 Jan., v. 9, no. 1 p.e12677-

    2023  

    Abstract: The growing understanding of nanoemulsion biomedical applications necessitates a basic understanding of protein–drug-loaded nanoemulsion interaction. In our present study, we investigated the binding interactions of Mefloquine (MEF)-loaded black cumin ... ...

    Abstract The growing understanding of nanoemulsion biomedical applications necessitates a basic understanding of protein–drug-loaded nanoemulsion interaction. In our present study, we investigated the binding interactions of Mefloquine (MEF)-loaded black cumin seed oil (Thymoquinone) nanoemulsion of different concentrations towards human and bovine serum albumin (HSA&BSA).Fluorescenceemission,three-dimensionalspectra,UV–visible spectroscopy, and FTIR-spectroscopy, techniques were used together with molecular docking studies to identify the binding effects. The ground state complex formation between Mefloquine-loaded black cumin seed oil nanoemulsion and protein fluorophores was confirmed by a decrease in fluorescence intensity and disputed hyper-chronicity found in the UV–visible spectra of albumins. According to three-dimensional fluorescence spectral analysis, the addition of MEF in thymoquinone impacted the microenvironment around aromatic amino acid (tryptophan and tyrosine) residues in HSA. The quenching mechanism is determined to be static contact by stern–volmer analysis, resulting in the formation of a stable bioconjugate. Significant modifications in the amide FTIR frequencies at around 1600 cm⁻¹ correlate to variations in the secondary alpha-helical structures of biomolecules at the MEF-loaded nanoemulsion interface. Molecular dynamic studies have shown the binding affinity scores of the proteins BSA and HSA with the drug, MEF-loaded black cumin seed oil nanoemulsion. The determined thermodynamic parameters were found to agree with molecular docking data, indicating that vander-waals and hydrogen bonding forces were important in the interaction process. MEF prefers a highly polar binding site at the exterior area of domains in HSA than BSA, as shown in the molecular model, and the hydrogen bonds are highlighted. From our results, we have observed that drug delivery has a detrimental effect on protein frame confirmation by altering its physiological function.
    Keywords Fourier transform infrared spectroscopy ; Nigella sativa ; antimalarials ; blood serum ; bovine serum albumin ; cattle ; fluorescence ; fluorescent dyes ; humans ; hydrogen ; molecular models ; nanoemulsions ; seed oils ; spectral analysis ; thermodynamics ; thymoquinone ; tryptophan ; tyrosine ; Human serum albumin ; Mefloquine hydrochloride ; Molecular docking
    Language English
    Dates of publication 2023-01
    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.2022.e12677
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: Wnt/β-catenin targeting in liver carcinoma through nanotechnology-based drug repurposing: A review.

    Mohapatra, Priyadarshini / Chandrasekaran, Natarajan

    Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie

    2022  Volume 155, Page(s) 113713

    Abstract: Liver cancer is the fifth most widespread in the world, with a high fatality rate and poor prognosis.However,surgicalresction,thermal/radiofrequencyablation,chemo/radioembolization and pathway targeting to the cancer cells are all possible options for ... ...

    Abstract Liver cancer is the fifth most widespread in the world, with a high fatality rate and poor prognosis.However,surgicalresction,thermal/radiofrequencyablation,chemo/radioembolization and pathway targeting to the cancer cells are all possible options for treating Liver Carcinoma. Unfortunately, once the tumour has developed and spread, diagnosis often occurs too late. The targeted therapy has demonstrated notable, albeit modest, efficacy in some patients with advanced HCC. This demonstrates the necessity of creating additional focused treatments and, in pursuit of this end, the need to find ever-more pathways as prospective targets. Despite the critical need, there are currently no Wnt signalling directed therapy on the research field, only a few methods have progressed beyond the early stage of clinical studies. In the present study, we report that repurposing of drug previously licensed for other diseases is one possible strategy inhibit malignant cell proliferation and renewal by removing individuals protein expression in the Wnt/β-catenin pathway. Particularly β-catenin complex is present in Liver cancer, where tumour necrosis factor is indispensable for the complex formation and β-catenin interactions are disrupted upon drug in nano-carrier through nanotechnology. This study findings not only highlight that repurposing drug could improve liver cancer treatment outcomes but also focused to character traits and functions of the Wnt signalling cascade's molecular targets and how they could be used to get anti-tumour results method to targeting Wnt/β-catenin in liver carcinoma.
    MeSH term(s) Humans ; beta Catenin/metabolism ; Carcinoma, Hepatocellular/pathology ; Cell Line, Tumor ; Cell Proliferation ; Drug Repositioning ; Liver Neoplasms/pathology ; Nanotechnology ; Tumor Necrosis Factors ; Wnt Signaling Pathway ; Wnt Proteins/metabolism
    Chemical Substances beta Catenin ; Tumor Necrosis Factors ; Wnt Proteins
    Language English
    Publishing date 2022-09-19
    Publishing country France
    Document type Journal Article ; Review
    ZDB-ID 392415-4
    ISSN 1950-6007 ; 0753-3322 ; 0300-0893
    ISSN (online) 1950-6007
    ISSN 0753-3322 ; 0300-0893
    DOI 10.1016/j.biopha.2022.113713
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: How Precise are Nanomedicines in Overcoming the Blood-Brain Barrier? A Comprehensive Review of the Literature.

    Mohapatra, Priyadarshini / Gopikrishnan, Mohanraj / Doss C, George Priya / Chandrasekaran, Natarajan

    International journal of nanomedicine

    2024  Volume 19, Page(s) 2441–2467

    Abstract: New nanotechnology strategies for enhancing drug delivery in brain disorders have recently received increasing attention from drug designers. The treatment of neurological conditions, including brain tumors, stroke, Parkinson's Disease (PD), and ... ...

    Abstract New nanotechnology strategies for enhancing drug delivery in brain disorders have recently received increasing attention from drug designers. The treatment of neurological conditions, including brain tumors, stroke, Parkinson's Disease (PD), and Alzheimer's disease (AD), may be greatly influenced by nanotechnology. Numerous studies on neurodegeneration have demonstrated the effective application of nanomaterials in the treatment of brain illnesses. Nanocarriers (NCs) have made it easier to deliver drugs precisely to where they are needed. Thus, the most effective use of nanomaterials is in the treatment of various brain diseases, as this amplifies the overall impact of medication and emphasizes the significance of nanotherapeutics through gene therapy, enzyme replacement therapy, and blood-barrier mechanisms. Recent advances in nanotechnology have led to the development of multifunctional nanotherapeutic agents, a promising treatment for brain disorders. This novel method reduces the side effects and improves treatment outcomes. This review critically assesses efficient nano-based systems in light of obstacles and outstanding achievements. Nanocarriers that transfer medications across the blood-brain barrier and nano-assisted therapies, including nano-immunotherapy, nano-gene therapy, nano enzyme replacement therapy, scaffolds, and 3D to 6D printing, have been widely explored for the treatment of brain disorders. This study aimed to evaluate existing literature regarding the use of nanotechnology in the development of drug delivery systems that can penetrate the blood-brain barrier (BBB) and deliver therapeutic agents to treat various brain disorders.
    MeSH term(s) Humans ; Blood-Brain Barrier ; Nanomedicine/methods ; Brain ; Drug Delivery Systems/methods ; Brain Neoplasms ; Nanoparticles
    Language English
    Publishing date 2024-03-08
    Publishing country New Zealand
    Document type Journal Article ; Review
    ZDB-ID 2364941-0
    ISSN 1178-2013 ; 1176-9114
    ISSN (online) 1178-2013
    ISSN 1176-9114
    DOI 10.2147/IJN.S442520
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Clinical Conundrum: Unveiling a Unique Presentation of Hypopharyngeal Carcinoma.

    Sahai, Anoushka / Dixit, Ritika / Choudhary, Rekha / Marfatia, Hetal / Mohapatra, Prateek

    Cureus

    2024  Volume 16, Issue 4, Page(s) e57727

    Abstract: Dysphagia is a common symptom encountered in clinical practice, typically associated with a wide range of etiologies, including structural abnormalities, inflammatory conditions, neoplasms, and neurological disorders. However, the combination of ... ...

    Abstract Dysphagia is a common symptom encountered in clinical practice, typically associated with a wide range of etiologies, including structural abnormalities, inflammatory conditions, neoplasms, and neurological disorders. However, the combination of subcutaneous emphysema, vocal cord palsy, enlarged arytenoids, and pooling of saliva in a dysphagic patient represents a rare and intriguing presentation. A 33-year-old female presented at a tertiary care hospital in Western India with hoarseness of voice, difficulty in swallowing, productive cough, and neck pain for two months with an abrupt increase in the severity of all symptoms in two days. A history of chewable tobacco use for six years was disclosed. Clinical evaluation revealed a thin build with platynychia and conjunctival pallor, dental staining, drooling of saliva, the presence of extensive subcutaneous emphysema on palpation of the neck, and absent laryngeal crepitus. Endoscopic evaluation was suggestive of right vocal cord palsy and enlarged, congested arytenoid cartilages, post-cricoid growth with pooling of saliva in bilateral pyriform fossae. A CT scan of the neck showed a 2x3 cm neoplastic growth in the hypopharynx, with subcutaneous emphysema and free air foci in the head and neck region, prompting an immediate tracheostomy and biopsy of the hypopharyngeal growth with Ryle's tube insertion. Squamous cell carcinoma was confirmed on the biopsy report. Due to its rarity, the possible underlying cause of idiopathic subcutaneous emphysema should be sought whenever encountered in clinical practice since these patients are potentially misdiagnosed. A high index of suspicion among clinicians, along with a consideration of the constellation of other symptoms and clinical features of a possible underlying hypopharyngeal cancer whenever encountering such patients is of key importance for prompting further investigations and treatment.
    Language English
    Publishing date 2024-04-06
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.57727
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Book ; Online: Decentralized Multi-agent Filtering

    Huh, Dom / Mohapatra, Prasant

    2023  

    Abstract: This paper addresses the considerations that comes along with adopting decentralized communication for multi-agent localization applications in discrete state spaces. In this framework, we extend the original formulation of the Bayes filter, a ... ...

    Abstract This paper addresses the considerations that comes along with adopting decentralized communication for multi-agent localization applications in discrete state spaces. In this framework, we extend the original formulation of the Bayes filter, a foundational probabilistic tool for discrete state estimation, by appending a step of greedy belief sharing as a method to propagate information and improve local estimates' posteriors. We apply our work in a model-based multi-agent grid-world setting, where each agent maintains a belief distribution for every agents' state. Our results affirm the utility of our proposed extensions for decentralized collaborative tasks. The code base for this work is available in the following repo
    Keywords Computer Science - Multiagent Systems ; Computer Science - Artificial Intelligence
    Publishing date 2023-01-20
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Book ; Online: Fairness Uncertainty Quantification

    Roy, Abhishek / Mohapatra, Prasant

    How certain are you that the model is fair?

    2023  

    Abstract: Fairness-aware machine learning has garnered significant attention in recent years because of extensive use of machine learning in sensitive applications like judiciary systems. Various heuristics, and optimization frameworks have been proposed to ... ...

    Abstract Fairness-aware machine learning has garnered significant attention in recent years because of extensive use of machine learning in sensitive applications like judiciary systems. Various heuristics, and optimization frameworks have been proposed to enforce fairness in classification \cite{del2020review} where the later approaches either provides empirical results or provides fairness guarantee for the exact minimizer of the objective function \cite{celis2019classification}. In modern machine learning, Stochastic Gradient Descent (SGD) type algorithms are almost always used as training algorithms implying that the learned model, and consequently, its fairness properties are random. Hence, especially for crucial applications, it is imperative to construct Confidence Interval (CI) for the fairness of the learned model. In this work we provide CI for test unfairness when a group-fairness-aware, specifically, Disparate Impact (DI), and Disparate Mistreatment (DM) aware linear binary classifier is trained using online SGD-type algorithms. We show that asymptotically a Central Limit Theorem holds for the estimated model parameter of both DI and DM-aware models. We provide online multiplier bootstrap method to estimate the asymptotic covariance to construct online CI. To do so, we extend the known theoretical guarantees shown on the consistency of the online bootstrap method for unconstrained SGD to constrained optimization which could be of independent interest. We illustrate our results on synthetic and real datasets.
    Keywords Statistics - Machine Learning ; Computer Science - Computers and Society ; Computer Science - Machine Learning
    Subject code 004
    Publishing date 2023-04-27
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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