Landsman Converter Based Particle Swarm Optimization Technique

This paper proposes a novel control technique for landsman converter using particle swarm optimization. The controller parameters are optimized by pso algorithm,the proposed algorithm is compared with pid controller and the comparative results are presented. Simulation results shows the dynamic performance of pso controller. landsman converter reduction in output voltage ripple in the order of mV along with reduced settling time as compared to the conventional pid controller . The simulated results are executed in MATLAB/SIMULINK

WareWise: Business Development Management Framework based on Device-to-Device Industrial Internet of Things

Internet of Things (IoT) - empowered data framework arrangements are developing in different spaces, for example, remote social insurance, keen coordination’s, farming et cetera. In the mean time, Business Development Management Frameworks (BDMF) has turned out to be promising instruments for driving and overseeing gadgets inside IoT frameworks. Be that as it may, past works have not completely tended to how the IoT-based BDMF can proceed with their execution when the included IoT gadgets don't have a dependable Internet association. In this paper, we propose a framework outline for decentralized device to device (D2D) - based BD execution, where versatile hubs have the ability of both executing BDs additionally moving BD execution to different hubs amid runtime. We apply this plan to the field of shrewd coordination’s, keeping in mind the end goal to empower savvy products checking. The exhibited merchandise observing arrangement empowers responding to occasions when they happen, while likewise producing a hint of the checking execution history. A model concentrating on the movement usefulness of the stage has been actualized and tried to assess its execution with regards to the specified savvy coordination’s situation

Texture Classification Based on Empirical Wavelet Transform Using LBP Features

Automatic inspection systems become more importance for industries with high productive plans especially in texture industry. A novel approach to Local Binary Pattern (LBP) feature for texture classification is proposed in this system. At the first, the proposed Empirical Wavelet Transform (EWT) based texture classification is tested on gray scale and color images by using Brodatz texture images. The gray scale and color image is decomposed by EWT at 2 and 3 level of decomposition. LBP features are calculated for each empirical transformed image. Extracted features are given as input to the classification stage. K-NN classifier is used for classification stage. The result of the proposed system gives satisfactory classification accuracy of over 98% for all types of images

Yagi-Uda Antenna for Navigational Aids Using HFSS

In this paper, the ultra high frequency of yagi-uda antenna for navigational has been designed to improve the usable bandwidth by improving the stability of the radiation patterns. The frequency band of ultra high frequency is 300-3000 MHZ. The main aim of this paper is to reduce the loss, improve the gain and also to enhance the efficiency of ultra high frequency yagi-uda antenna for utilizing the navigational aids. The proposed UHF band of Yagi-Uda antenna has been designed by using ANSYS HFSS tool for the application of navigational aids. The characteristics specifications of yagi-uda antenna such as Radiation pattern, S11 (return loss), impedance matching and gain are analyzed in this work

Microguards and micromessengers of the genome

The regulation of gene expression is of fundamental importance to maintain organismal function and integrity and requires a multifaceted and highly ordered sequence of events. The cyclic nature of gene expression is known as ‘transcription dynamics’. Disruption or perturbation of these dynamics can result in significant fitness costs arising from genome instability, accelerated ageing and disease. We review recent research that supports the idea that an important new role for small RNAs, particularly microRNAs (miRNAs), is in protecting the genome against short-term transcriptional fluctuations, in a process we term ‘microguarding’. An additional emerging role for miRNAs is as ‘micromessengers’—through alteration of gene expression in target cells to which they are trafficked within microvesicles. We describe the scant but emerging evidence that miRNAs can be moved between different cells, individuals and even species, to exert biologically significant responses. With these two new roles, miRNAs have the potential to protect against deleterious gene expression variation from perturbation and to themselves perturb the expression of genes in target cells. These interactions between cells will frequently be subject to conflicts of interest when they occur between unrelated cells that lack a coincidence of fitness interests. Hence, there is the potential for miRNAs to represent both a means to resolve conflicts of interest, as well as instigate them. We conclude by exploring this conflict hypothesis, by describing some of the initial evidence consistent with it and proposing new ideas for future research into this exciting topic

An approach for the identification of targets specific to bone metastasis using cancer genes interactome and gene ontology analysis

Metastasis is one of the most enigmatic aspects of cancer pathogenesis and is a major cause of cancer-associated mortality. Secondary bone cancer (SBC) is a complex disease caused by metastasis of tumor cells from their primary site and is characterized by intricate interplay of molecular interactions. Identification of targets for multifactorial diseases such as SBC, the most frequent complication of breast and prostate cancers, is a challenge. Towards achieving our aim of identification of targets specific to SBC, we constructed a 'Cancer Genes Network', a representative protein interactome of cancer genes. Using graph theoretical methods, we obtained a set of key genes that are relevant for generic mechanisms of cancers and have a role in biological essentiality. We also compiled a curated dataset of 391 SBC genes from published literature which serves as a basis of ontological correlates of secondary bone cancer. Building on these results, we implement a strategy based on generic cancer genes, SBC genes and gene ontology enrichment method, to obtain a set of targets that are specific to bone metastasis. Through this study, we present an approach for probing one of the major complications in cancers, namely, metastasis. The results on genes that play generic roles in cancer phenotype, obtained by network analysis of 'Cancer Genes Network', have broader implications in understanding the role of molecular regulators in mechanisms of cancers. Specifically, our study provides a set of potential targets that are of ontological and regulatory relevance to secondary bone cancer.Comment: 54 pages (19 pages main text; 11 Figures; 26 pages of supplementary information). Revised after critical reviews. Accepted for Publication in PLoS ON

Contract to Kill: GNAS Mutation

The mutation in Gsα-coding GNAS exons, popular as gsp oncogene, is the most frequent mutation across all heterotrimeric G proteins involved in oncogenesis. GNAS R201, the most frequently mutated, followed by Q227, are found predominantly across various neoplasms and cancers such as IPMN, pituitary, thyroid, appendiceal, colorectal, etc. This review emphasizes the pivotal significance of the gsp oncogene and its ramifications underpinning the sustained addiction to GNAS mutation. Recent studies delineating the mechanistic intricacies that provide solid evidence of the profound impact of oncogenic GNAS on tumor formation, progression, and maintenance are highlighted. We have leveraged the discoveries of Gsα as an ideal neoantigen candidate for vaccine therapy, allele-specific inhibitors, and cyclic peptide-based small molecular inhibitors for G proteins and explored the therapeutic potential to target oncogenic GNAS directly. Alternative therapeutic modalities and patient-centric studies to mitigate the impact of GNAS mutations are also discussed. The exposition of novel studies and strategies designed to address the potential challenges inherent in these approaches of targeting the activating mutations of GNAS, along with probable avenues for further investigation, are highlighted. This review aims to reverberate the current understanding of the oncogenic potential of GNAS, the genomic and biological landscape of GNAS-driven neoplasms and cancers, and potential therapeutic strategies against them

Rule-based modeling of biochemical systems with BioNetGen

Totowa, NJ. Please cite this article when referencing BioNetGen in future publications. Rule-based modeling involves the representation of molecules as structured objects and molecular interactions as rules for transforming the attributes of these objects. The approach is notable in that it allows one to systematically incorporate site-specific details about proteinprotein interactions into a model for the dynamics of a signal-transduction system, but the method has other applications as well, such as following the fates of individual carbon atoms in metabolic reactions. The consequences of protein-protein interactions are difficult to specify and track with a conventional modeling approach because of the large number of protein phosphoforms and protein complexes that these interactions potentially generate. Here, we focus on how a rule-based model is specified in the BioNetGen language (BNGL) and how a model specification is analyzed using the BioNetGen software tool. We also discuss new developments in rule-based modeling that should enable the construction and analyses of comprehensive models for signal transduction pathways and similarly large-scale models for other biochemical systems. Key Words: Computational systems biology; mathematical modeling; combinatorial complexity; software; formal languages; stochastic simulation; ordinary differential equations; protein-protein interactions; signal transduction; metabolic networks. 1

Sustainable cultivation practices and market trends of Indian sandalwood: A comprehensive review

Indian sandalwood, renowned for its aromatic heartwood and essential oil, holds a revered status in traditional practices and modern industries. Its essential oil, celebrated for its exquisite fragrance, is a staple in perfumery, cosmetics and traditional medicine due to its antimicrobial, anti-inflammatory and anti-cancer properties.Culturally, sandalwood is deeply embedded in Indian traditions, where it is used in religious ceremonies and for crafting sacred artifacts symbolizing purity and serenity. From an economic perspective, the high demand for sandalwood, coupled with its slow growth rate, presents significant challenges in its cultivation and conservation. This review addresses the over-exploitation of natural sandalwood resources, emphasizing the need for sustainable cultivation practices to ensure its future availability. such practices involve enhancing genetic strains, adapting to climate change and promoting biodiversity through agroforestry systems that provide multiple income streams for farmers. The review also highlights the critical challenges in cultivating sandalwood, such as its speciesspecific climatic requirements and susceptibility to pests and diseases. These challenges are compounded by the economic risks associated with the high value of sandalwood and its long maturity period, which can deter investment and conservation efforts. Technological advancements play a pivotal role in addressing these challenges, with innovations in biotechnology and precision agriculture enhancing yields and sustainability. The review advocates for a balanced approach that meets commercial demands while preserving ecological and cultural integrity. It calls for continued research, international cooperation and adaptive management strategies to secure a sustainable future for Indian Sandalwood cultivation and trade. Additionally, the review emphasizes the need for integrated approaches combining traditional knowledge with modern scientific and technological advances to optimize sandalwood cultivation

Unveiling the multifaceted attributes of Bixa orellana: An insight into its chemical composition, industrial application and cultural significance

Bixa orellana L., commonly known as annatto or the lipstick tree, is an evergreen shrub from the Bixaceae family. Native to tropical regions of Central and South America, it is now cultivated globally. Renowned for its striking red flowers and spiny fruits, B. orellana seeds produce annatto, a natural dye rich in bixin and norbixin pigments. These water- and oil-soluble carotenoids are widely used as natural food colorants, especially with the rising demand for synthetic dye alternatives. Beyond its industrial applications in food, cosmetics, leather and solar cells, B. orellana has traditional medicinal uses for treating conditions like gonorrhea, asthma and sore throats. Its bioactive components, including carotenoids and essential oils, offer antioxidant and hypoglycemic properties. This review highlights the pharmacological activities, phytochemical composition and industrial relevance of B. orellana, showcasing its diverse economic, botanical and cultural significance