MVN University

Introduction: Motor and behavioral impairments associated with Parkinson's disease (PD). The primary factors underlying the development of Parkinson's disease include mitochondrial impairment, increased oxidative stress, and the production of Lewy bodies due to protein misfolding. Antioxidants could help parkinsonism's symptoms get better and postpone neurodegeneration. We investigated the neuroprotective effects of curcumin, quercetin, and their combination in a rotenone-induced parkinsonism model. Methods: Rats given rotenone 2 mg/kg/day for 14 days developed PD. Doses were selected based on preliminary work. Oral administrations of curcumin (100, 150, and 200 mg/kg), quercetin (30, 40, and 50 mg/kg), or their combination were administered simultaneously with rotenone and continued for a further 14 days. Histological studies as well as tests for assessment of locomotor activity, rota rod test (muscular coordination), Grid test and Open-field test were performed. on the 28th and 29th days. Results: The higher doses of the used drugs; curcumin (200 mg/kg) and quercetin (50 mg/kg) enhanced locomotor activity, motor coordination, and mobility better than the lower doses. Furthermore, theysignicantly raised dopamine levels and helped minimize rotenone's produced neuronal damage. Discussion: In this study, against parkinsonism both quercetin and curcumin exhibit neuroprotective properties. Conclusion: Curcumin and quercetin used together has more positive results than each medicine taken by itself.

Abstract: Tulsi (Ocimum sanctum) has been recognized for its remedial properties in traditional healing practices, with research emphasizing its cancer-fighting abilities. Nanotechnology has recently made strides to improve the absorption, effectiveness, and precise delivery of plant-based compounds, including their extracts. The present study involved an extensive review of scientific literature sourced from reputable databases, including Elsevier, Google Scholar, ScienceDirect, and PubMed. Epidemiological and statistical data related to cancer were retrieved from official databases of recognized health authorities. Relevant findings from peer-reviewed original research articles were critically analyzed to substantiate the therapeutic potential of Ocimum sanctum (tulsi), particularly in the context of recent advancements in nanotechnology for combating life-threatening cancers. The objective of this study was to explore the significant potential of Ocimum sanctum and its phytoconstituent-mediated nanoparticles in treating cancers. The review has demonstrated how tulsi-loaded nanoparticles can trigger cancer cell death, inhibit angiogenesis, and prevent tumor growth and metastasis. Moreover, it has also highlighted the chemopreventive properties of tulsi and its phytoconstituents in the anticancer mechanism of developed nanoparticles. Nanoparticles with their tremendous properties, including dimensions, surface characteristics, and ability to cross cell membranes, offer a promising method to improve the therapeutic effects of tulsi. When combined with nanoparticles, it has not only been shown to possess a marvelous ability to treat cancer, but also to be effective against various diseases through exhibiting a synergistic effect, thereby enhancing therapeutic efficacy and bioavailability. The integration of tulsi and nanotechnology represents a promising frontier in cancer treatment. The unique bioactive compounds of tulsi can be effectively harnessed through nanotechnology to enhance their delivery, targeting, and bioavailability, thus resulting in improved therapeutic outcomes. Hence, this review has made an attempt to impart comprehensive information regarding the enhanced and synergistic anticancer activities of tulsi-mediated nanoparticles.

The rapid expansion of financial technology (Fintech) has revolutionized the digital payment ecosystem, significantly shaping consumer behavior and adoption patterns. This study aims to identify the key primary drivers influencing Fintech adoption among digital payment users by employing Structural Equation Modeling for empirical validation. The proposed conceptual framework examines Fintech adoption as the dependent variable, incorporating digital literacy (DL) as a moderator, trust as a mediator, and risk perception (RP), financial literacy, perceived ease of use (PEU), and social influence as independent variables. A primary dataset was analyzed using AMOS to assess the measurement and structural models. The study enhances the existing body of literature by exploring the moderating effect of DL on the relationship between PEU and Fintech adoption and the mediating role of trust in the relationship between risk perception and adoption. The findings are expected to provide valuable implications for financial institutions, policymakers, and technology developers in fostering digital payment adoption and enhancing consumer trust in Fintech services.

Let [Formula: see text] be a measure space, where [Formula: see text] is [Formula: see text]-finite and [Formula: see text] is countably generated. We study matrix-valued frames in the matrix-valued function space [Formula: see text]. First, we give frame conditions for a family of functions in the space [Formula: see text] in terms of frames for its atomic spaces. Contrary to what happens with matrix-valued Bessel sequences in [Formula: see text], it is not true that the lower frame condition for [Formula: see text] can be carried to its associated atomic space [Formula: see text]. We give the construction of matrix-valued frames from strongly disjoint Bessel sequences associated with atomic functions. A necessary and sufficient condition for the existence of matrix-valued tight frames is given. Matrix-valued dual frame pairs of the space [Formula: see text] are presented. Numerical examples are given to support our results.

Skin ageing is influenced by intrinsic factors such as genetics and hormones, as well as extrinsic factors like environmental exposure, ultraviolet (UV) radiation, and diet. These factors lead to biochemical, biological, and structural changes in the skin. Plant-derived compounds with antioxidant and anti-inflammatory properties have emerged as potential anti-ageing agents. This comprehensive review, spanning data from 1997 to 2024, explores the role of nutraceuticals in skin anti-ageing. The research data were drawn from Google, PubMed, PubMed Central, Scopus, and various journal databases, including ScienceDirect, Springer, and Taylor & Francis. This review specifically examines plant-derived polyphenols, carotenoids, and other bioactive compounds, analysing their mechanisms through signalling pathways and cellular processes, using data from in vitro, in vivo, and clinical studies. Polyphenols like quercetin, curcumin, and epigallocatechin gallate (EGCG) have antioxidant and anti-inflammatory properties, helping to reduce oxidative stress, inflammation, UV-induced collagen degradation, and inflammatory cytokines. Notably, curcumin enhances collagen production and decreases the number of senescent cells. Carotenoids such as β-carotene, lutein, zeaxanthin, and lycopene protect against UV damage, and lycopene-rich tomato paste was specifically noted for its ability to reduce erythema and DNA damage. Additionally, compounds like resveratrol, fisetin, and wogonin exert protective effects against oxidative stress and inflammation, with resveratrol improving collagen synthesis and reducing the appearance of wrinkles. These plant-derived compounds can effectively combat skin ageing through various mechanisms, including the inhibition of oxidative stress, inflammation, and extracellular matrix degradation. They present a natural and sustainable approach to skincare in accord with the growing trend of conscious consumption. Future research should focus on understanding the long-term effects and determining the optimal dosage for clinical applications, highlighting the potential of integrating plant-based nutraceuticals into skincare regimens.

Tuberculosis (TB) is a contagious disease caused by the bacterium Mycobacterium tuberculosis, which most often affects the lungs, specifically pulmonary tuberculosis. One of the leading opportunistic diseases globally, affecting one-third population and resulting in approximately 1.5 million deaths annually. A weakened immune system against mycobacterial diseases has contributed to over 1.1 million people being co-infected with other life-threatening diseases, such as Human Immunodeficiency Virus (HIV). Abundant research highlighted the biotherapeutic potential of naturally occurring compounds against mycobacterial disorder. The increasing cases of MDR/XDR-TB are mainly derived from tuberculosis, coupled with the emergence of extensively drug-resistant (XDR) and multidrug resistance (MDR) strains, have made treatment more challenging. The condition emphasized the crucial requirement for novel plant-derived anti-TB medications. The persistence and latency of M. tuberculosis, along with drug resistance, have made tuberculosis treatment increasingly challenging. This review aims to comprehensively examine tuberculosis disease including current standard treatment, promising new drugs under development and the potential of medicinal plants and their bioactive compounds as alternative or supplementary therapies to combat mycobacterial infections, specifically focusing on the potential of plant-derived metabolites to act as effective antimycobaterial agents. It specifically highlights the role of plant-derived metabolites as effective antimycobacterial agents.

Hailstone detection is vital for weather forecasting and disaster management, helping to predict and mitigate damage caused by hailstorms. As machine learning (ML) and deep learning (DL) techniques continue to advance, there is significant potential to improve the precision and efficiency of hailstone detection systems. This study offers a comprehensive analysis of various ML and DL models for hailstone detection, aiming to enhance the accuracy and efficiency of real-time hailstorm prediction. The research evaluates models such as Convolutional Neural Networks (CNN), Random Forest (RF), and hybrid DL architectures, including Long Short-Term Memory-3D Convolutional Networks (LSTM-C3D), based on performance parameters like accuracy, precision, etc., Probability of Detection (POD), False Alarm Rate (FAR), and Critical Success Index (CSI). Consequences indicate that while CNNs excel in detecting "No-Hail" instances, they struggle with detecting "Hail," showing low precision and recall for hail detection. In contrast, RF models demonstrate a more balanced performance across both categories, achieving high precision and recall for "No-Hail" and "Hail." The LSTM-C3D hybrid model outperformed all others, showing superior accuracy and F1-score by capturing both spatial and temporal features crucial for detecting hailstones. Despite these promising results, challenges such as class imbalance and computational efficiency in real-time applications remain. The study highlights the potential of hybrid deep learning models and suggests future directions for improving hailstone detection systems, including the incorporation of additional meteorological data, class imbalance mitigation strategies, and real-time optimization.

This paper aims to combine renewable energy technology, advanced waste collection systems, and sustainable approaches toward making the cleaning of our waterways more efficient and environmentally friendly. The main purpose of the initiative is to design a DC- DC boost converter, analysis the efficiency and performance of solar power using MATLAB/Simulink also implement a solar-powered smart boat, which can automatically send an alarm when the collector is full and the capability to effectively remove floating debris from water surfaces. In this paper, there is more hope for clean waters at a time when technology seems to innovate its way with eco-friendly activities.

Working capital Management, considered is a company's ability to deal with short-term liabilities in current assets (inventory, accounts receivable, and net financial resources) from a financial perspective. However, this concept may be thought of in scientific literature as variables costs or the stock of productive capital, among numerous others. Considering the significant role of working capital in a firm's dynamin environment. The main goal of this study is to identify the major exclusions and insights from the literature on working capital, as well as to make suggestions for future research. The issue of "working capital and its impact on firm’s profitability " was the subject of a bibliometric analysis using bibliographic data from Scopus for the year 2008- 2023. These data were initially processed using bibliometric methods, taking into account the VOSviewer and were then analyzed using a literature review. Employing data from the Scopus database, this bibliographic study assesses the current state of the research on working capital management (WCM) and how it relates to profitability throughout a 15-year duration (2008–2023). Using VOSviewer as an exhaustive review of 513 documents was carried performed to pinpoint important themes, prominent papers, prolific authors, and major trends in the field of WCM. Through the study, buzzwords like "profitability," "inventory management," and "cash conversion cycle" are used to illustrate the importance of WCM in improving business profitability and operational efficiency. Comprehensive networks of working together among researchers and institutions are revealed by co-authorship and co-occurrence analyses, emphasizing the multidisciplinary and global reach of WCM research. Geographic analysis indicates which regions are most important to the field, namely Asia and Europe. Although some drawbacks, like the study's dependence upon a single database, it offers a useful starting point for future research into novel WCM methods, the effects of digital transformation, and the function of WCM in sustainable company operations. The results underscore how critical successful WCM tactics are to achieving operational success and profitability, providing guidance for both academic researchers and entrepreneurs.