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  1. Article ; Online: Glycitein prevents reserpine-induced depression and associated comorbidities in mice: modulation of lipid peroxidation and TNF-α levels.

    Diksha / Singh, Lovedeep

    Naunyn-Schmiedeberg's archives of pharmacology

    2024  

    Abstract: Depression is a debilitating mood disorder affecting millions worldwide and continues to pose a significant global health burden. Due to the multifaceted nature of depression, the current treatment regimens are not up to mark in terms of their ... ...

    Abstract Depression is a debilitating mood disorder affecting millions worldwide and continues to pose a significant global health burden. Due to the multifaceted nature of depression, the current treatment regimens are not up to mark in terms of their multitargeting potential and least side effect profile. Molecules within the isoflavone class demonstrate promising potential in alleviating depression and associated conditions, offering a multifaceted approach to manage mental health concerns. Therefore, the current study was designed to explore the potential of glycitein, an isoflavone in managing reserpine-induced depression and associated comorbidities in mice. Reserpine (0.5 mg/kg; i.p.) administration for the first 3 days induced depression and associated comorbidities as evidenced by increased immobility time in forced swim test (FST) and tail suspension test (TST), along with reduced locomotor activity in the open field test (OFT) and increased latency to reach the platform in the Morris water maze (MWM) test. Reserpine treatment also upregulated and downregulated the brain thiobarbituric acid reactive substance (TBARS) and glutathione (GSH) levels, respectively. Furthermore, reserpine administration also uplifted the level of TNF-α in the serum samples. Glycitein (3 mg/kg and 6 mg/kg; p.o.) treatment for 5 days prevented the depressive effect of reserpine. It also improved the spatial memory at both dose levels. Moreover, in biochemical analysis, glycitein also reduced the brain TBARS and serum tumor necrosis factor-alpha (TNF-α) levels. Whereas, no significant effect was seen on the brain GSH level. Glycitein (6 mg/kg) was found to be more effective than the 3 mg/kg dose of glycitein. Overall results delineate that glycitein has the potential to manage depression and impaired memory by inhibiting lipid peroxidation and inflammatory stress.
    Language English
    Publishing date 2024-03-02
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 121471-8
    ISSN 1432-1912 ; 0028-1298
    ISSN (online) 1432-1912
    ISSN 0028-1298
    DOI 10.1007/s00210-024-03007-9
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    In stock of ZB MED Cologne/Königswinter

    Ud II Zs.5: Show issues Location:
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  2. Book ; Online: Cryptanalysis on Secure ECC based Mutual Authentication Protocol for Cloud-Assisted TMIS

    Diksha / Meenakshi

    2023  

    Abstract: The creation of TMIS (Telecare Medical Information System) makes it simpler for patients to receive healthcare services and opens up options for seeking medical attention and storing medical records with access control. With Wireless Medical Sensor ... ...

    Abstract The creation of TMIS (Telecare Medical Information System) makes it simpler for patients to receive healthcare services and opens up options for seeking medical attention and storing medical records with access control. With Wireless Medical Sensor Network and cloud-based architecture, TMIS gives the chance to patients to collect their physical health information from medical sensors and also upload this information to the cloud through their mobile devices. The communication is held through internet connectivity, therefore security and privacy are the main motive aspects of a secure cloud-assisted TMIS. However, because very sensitive data is transmitted between patients and doctors through the cloud server, thus security protection is important for this system. Recently, Kumar et al designed a mutual authentication protocol for cloud-assisted TMIS based on ECC [2]. In this paper, we revisited this scheme and traced out that their scheme has some significant pitfalls like health report revelation attack, and report confidentiality. In this study, we will provide the cryptanalysis of the scheme developed by Kumar et al.
    Keywords Computer Science - Cryptography and Security ; Computer Science - Information Theory
    Subject code 303
    Publishing date 2023-06-13
    Publishing country us
    Document type Book ; Online
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  3. Article ; Online: Prediction of imminent failure using supervised learning in a fiber bundle model.

    Diksha / Biswas, Soumyajyoti

    Physical review. E

    2022  Volume 106, Issue 2-2, Page(s) 25003

    Abstract: Prediction of a breakdown in disordered solids under external loading is a question of paramount importance. Here we use a fiber bundle model for disordered solids and record the time series of the avalanche sizes and energy bursts. The time series ... ...

    Abstract Prediction of a breakdown in disordered solids under external loading is a question of paramount importance. Here we use a fiber bundle model for disordered solids and record the time series of the avalanche sizes and energy bursts. The time series contain statistical regularities that not only signify universality in the critical behavior of the process of fracture, but also reflect signals of proximity to a catastrophic failure. A systematic analysis of these series using supervised machine learning can predict the time to failure. Different features of the time series become important in different variants of training samples. We explain the reasons for such a switch over of importance among different features. We show that inequality measures for avalanche time series play a crucial role in imminent failure predictions, especially for imperfect training sets, i.e., when simulation parameters of training samples differ considerably from those of the testing samples. We also show the variation of predictability of the system as the interaction range and strengths of disorders are varied in the samples, varying the failure mode from brittle to quasibrittle (with interaction range) and from nucleation to percolation (with disorder strength). The effectiveness of the supervised learning is best when the samples just enter the quasibrittle mode of failure showing scale-free avalanche size distributions.
    Language English
    Publishing date 2022-09-15
    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.106.025003
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  4. Article ; Online: Mechanistic interplay of different mediators involved in mediating the anti-depressant effect of isoflavones.

    Diksha / Singh, Lovedeep / Bhatia, Deepika

    Metabolic brain disease

    2023  Volume 39, Issue 1, Page(s) 199–215

    Abstract: Depression is one of the most prevalent severe CNS disorders, which negatively affects social lives, the ability to work, and the health of people. As per the World Health Organisation (WHO), it is a psychological disorder that is estimated to be a ... ...

    Abstract Depression is one of the most prevalent severe CNS disorders, which negatively affects social lives, the ability to work, and the health of people. As per the World Health Organisation (WHO), it is a psychological disorder that is estimated to be a leading disease by 2030. Clinically, various medicines have been formulated to treat depression but they are having a setback due to their side effects, slow action, or poor bioavailability. Nowadays, flavonoids are regarded as an essential component in a variety of nutraceutical, pharmaceutical and medicinal. Isoflavones are a distinctive and important subclass of flavonoids that are generally obtained from soybean, chickpeas, and red clover. The molecules of this class have been extensively explored in various CNS disorders including depression and anxiety. Isoflavones such as genistein, daidzein, biochanin-A, formononetin, and glycitein have been reported to exert an anti-depressant effect through the modulation of different mediators. Fatty acid amide hydrolase (FAAH) mediated depletion of anandamide and hypothalamic-pituitary-adrenal (HPA) axis-mediated modulation of brain-derived neurotrophic factor (BDNF), monoamine oxidase (MAO) mediated depletion of biogenic amines and inflammatory signaling are the important underlying pathways leading to depression. Upregulation in the levels of BDNF, anandamide, antioxidants and monoamines, along with inhibition of MAO, FAAH, HPA axis, and inflammatory stress are the major modulations produced by different isoflavones in the observed anti-depressant effect. Therefore, the present review has been designed to explore the mechanistic interplay of various mediators involved in mediating the anti-depressant action of different isoflavones.
    MeSH term(s) Humans ; Brain-Derived Neurotrophic Factor/metabolism ; Hypothalamo-Hypophyseal System/metabolism ; Pituitary-Adrenal System/metabolism ; Isoflavones/pharmacology ; Flavonoids ; Monoamine Oxidase/metabolism ; Arachidonic Acids ; Polyunsaturated Alkamides ; Endocannabinoids
    Chemical Substances anandamide (UR5G69TJKH) ; Brain-Derived Neurotrophic Factor ; Isoflavones ; Flavonoids ; Monoamine Oxidase (EC 1.4.3.4) ; Arachidonic Acids ; Polyunsaturated Alkamides ; Endocannabinoids
    Language English
    Publishing date 2023-10-19
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 632824-6
    ISSN 1573-7365 ; 0885-7490
    ISSN (online) 1573-7365
    ISSN 0885-7490
    DOI 10.1007/s11011-023-01302-7
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2155: Show issues Location:
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  5. Article ; Online: Geographically weighted regression to measure the role of intra-urban drivers for urban growth modelling in Kathmandu, Central Himalayas.

    Diksha / Kumar, Amit / Tripathy, Pratyush

    Environmental monitoring and assessment

    2023  Volume 195, Issue 5, Page(s) 627

    Abstract: The present study analyzes spatio-temporal urban growth in Kathmandu Urban Agglomeration (KUA) and its impact on ecological infrastructures between 2000 and 2020. A geographically weighted regression (GWR) approach was used to investigate intra-urban ... ...

    Abstract The present study analyzes spatio-temporal urban growth in Kathmandu Urban Agglomeration (KUA) and its impact on ecological infrastructures between 2000 and 2020. A geographically weighted regression (GWR) approach was used to investigate intra-urban drivers of urban growth between 2000-2010 (epoch 1) and 2010-2020 (epoch 2), and to predict built-up growth for the year 2030. The study makes crucial contributions to the urban growth modelling literature by (a) investigating six different neighborhood sizes (3 × 3 to 13 × 13) for computing proportion of built-up cells and (b) eliminating/selecting covariates using correlation check and global lasso regression. The superiority of GWR model over global regression model has been evaluated using the Akaike information criterion score and the stationarity test. The chronological urban growth analysis of KUA highlights rapid growth in mountainous landscape from 54.90 to 166 km
    MeSH term(s) Spatial Regression ; Environmental Monitoring ; Forests ; Conservation of Natural Resources ; Sustainable Development ; China ; Cities
    Language English
    Publishing date 2023-04-29
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 782621-7
    ISSN 1573-2959 ; 0167-6369
    ISSN (online) 1573-2959
    ISSN 0167-6369
    DOI 10.1007/s10661-023-11164-2
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  6. Article ; Online: Fine Tuning Mesenchymal Stromal Cells - Code For Mitigating Kidney Diseases.

    Makkar, Diksha / Gakhar, Diksha / Mishra, Vinod / Rakha, Aruna

    Stem cell reviews and reports

    2024  Volume 20, Issue 3, Page(s) 738–754

    Abstract: Kidney Disease (KD), has a high global prevalence and accounts for one of the most prominent causes of morbidity and mortality in the twenty-first century. Despite the advances in our understanding of its pathophysiology, the only available therapy ... ...

    Abstract Kidney Disease (KD), has a high global prevalence and accounts for one of the most prominent causes of morbidity and mortality in the twenty-first century. Despite the advances in our understanding of its pathophysiology, the only available therapy options are dialysis and kidney transplantation. Mesenchymal stem cells (MSCs) have proven to be a viable choice for KD therapy due to their antiapoptotic, immunomodulatory, antioxidative, and pro-angiogenic activities. However, the low engraftment, low survival rate, diminished paracrine ability, and delayed delivery of MSCs are the major causes of the low clinical efficacy. A number of preconditioning regimens are being tested to increase the therapeutic capabilities of MSCs. In this review, we highlight the various strategies to prime MSCs and their protective effects in kidney diseases.
    MeSH term(s) Mesenchymal Stem Cells/physiology ; Immunomodulation
    Language English
    Publishing date 2024-02-09
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2495577-2
    ISSN 2629-3277 ; 1558-6804 ; 1550-8943
    ISSN (online) 2629-3277 ; 1558-6804
    ISSN 1550-8943
    DOI 10.1007/s12015-024-10684-9
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    Zs.A 6198: Show issues Location:
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  7. Article ; Online: Guardians of Health: Navigating Nipah Virus Challenges in India.

    Komal / Diksha / Patil, Niraj S / Singh, Amandeep

    Infectious disorders drug targets

    2024  

    Language English
    Publishing date 2024-04-08
    Publishing country United Arab Emirates
    Document type Editorial
    ZDB-ID 2234298-9
    ISSN 2212-3989 ; 1871-5265
    ISSN (online) 2212-3989
    ISSN 1871-5265
    DOI 10.2174/0118715265292757240320081250
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5598: Show issues Location:
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  8. Book ; Online: Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization

    Goel, Diksha

    Applications in Cyber Defense and Information Diffusion

    2023  

    Abstract: With the burgeoning advancements of computing and network communication technologies, network infrastructures and their application environments have become increasingly complex. Due to the increased complexity, networks are more prone to hardware faults ...

    Abstract With the burgeoning advancements of computing and network communication technologies, network infrastructures and their application environments have become increasingly complex. Due to the increased complexity, networks are more prone to hardware faults and highly susceptible to cyber-attacks. Therefore, for rapidly growing network-centric applications, network resilience is essential to minimize the impact of attacks and to ensure that the network provides an acceptable level of services during attacks, faults or disruptions. In this regard, this thesis focuses on developing effective approaches for enhancing network resilience. Existing approaches for enhancing network resilience emphasize on determining bottleneck nodes and edges in the network and designing proactive responses to safeguard the network against attacks. However, existing solutions generally consider broader application domains and possess limited applicability when applied to specific application areas such as cyber defense and information diffusion, which are highly popular application domains among cyber attackers. This thesis aims to design effective, efficient and scalable techniques for discovering bottleneck nodes and edges in the network to enhance network resilience in cyber defense and information diffusion application domains. We first investigate a cyber defense graph optimization problem, i.e., hardening active directory systems by discovering bottleneck edges in the network. We then study the problem of identifying bottleneck structural hole spanner nodes, which are crucial for information diffusion in the network. We transform both problems into graph-combinatorial optimization problems and design machine learning based approaches for discovering bottleneck points vital for enhancing network resilience.

    Comment: PhD Thesis
    Keywords Computer Science - Cryptography and Security ; Computer Science - Machine Learning
    Subject code 000
    Publishing date 2023-09-21
    Publishing country us
    Document type Book ; Online
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  9. Article ; Online: Overview of imidazole-based fluorescent materials with hybridized local and charge transfer and hot-exciton pathway characteristics in excited states.

    Kumar, Krishan / Thakur, Diksha

    Soft matter

    2024  Volume 20, Issue 8, Page(s) 1669–1688

    Abstract: Herein, we discuss an imidazole-based molecular framework, which can successfully transform triplet excitons present in high triplet levels into singlet states. We explain the working mechanisms of different methods for collecting triplet excitons, ... ...

    Abstract Herein, we discuss an imidazole-based molecular framework, which can successfully transform triplet excitons present in high triplet levels into singlet states. We explain the working mechanisms of different methods for collecting triplet excitons, including hot excitons or HLCT states. After the development of an hot exciton material by Ma and Yang, many studies have demonstrated that the organic conjugated molecules having imidazole core have possibilities to show high efficiencies
    Language English
    Publishing date 2024-02-21
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2191476-X
    ISSN 1744-6848 ; 1744-683X
    ISSN (online) 1744-6848
    ISSN 1744-683X
    DOI 10.1039/d3sm01005h
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  10. Article: Need to prioritize supply-side intervention for curbing tobacco epidemic in India.

    Walia, Diksha / Goel, Sonu

    The Indian journal of medical research

    2024  Volume 158, Issue 5&6, Page(s) 466–469

    MeSH term(s) Humans ; India/epidemiology ; Smoking/epidemiology ; Tobacco Use/epidemiology
    Language English
    Publishing date 2024-01-24
    Publishing country India
    Document type Journal Article
    ZDB-ID 390883-5
    ISSN 0971-5916 ; 0019-5340
    ISSN 0971-5916 ; 0019-5340
    DOI 10.4103/ijmr.ijmr_1293_23
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