Volume 12 | Issue 7 |

 Abstract

India faces significant vulnerability to natural disasters, including floods, droughts, cyclones, tsunamis, earthquakes, landslides, and forest fires. This research paper explores the critical role of drone technology in disaster management, covering surveillance, mapping, logistics, and communication restoration. It examines the latest advancements in drone technology, such as intelligent flight, broadband transmission, and diversified functions, and how these innovations can be applied throughout all phases of disaster management: prevention, mitigation, response, and recovery. By integrating drone technology, India can enhance its disaster preparedness, response, and recovery efforts, ultimately saving lives and reducing damage.

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Drone technology, Importance, Disaster Management

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Human is the most intelligent creature in the planet for their brain power and neural network. The human brain is extremely complex with more than 80 billion neurons and trillion of connections [1]. Simulation scales can array from molecular and genetic expressions to compartment models of subcellular volumes and individual neurons to local networks and system models [2]. Deep Neural Network nodes are an over simplification of how brain synapses work. Signal transmission in the brain is dominated by chemical synapses, which release chemical substances and neurotransmitters to convert electrical signals via voltage-gated ion channels at the presynaptic cleft into post-synaptic activity. The type of neurotransmitter characterizes whether a synapse facilitates signal transmission (excitatory role) or prevents it (inhibitory role). Currently, there are tenths of known neurotransmitters, whereas new ones continuously emerge with varying functional roles. Furthermore, dynamic synaptic adaptations, which affect the strength of a synapse, occur in response to the frequency and magnitude of the presynaptic signal and reflect complex learning/memory functions, (Spike time dependent plasticity) [3, 4]. Recently, evidence has found that surrounding cells, such as glia cells that are primarily involved in 'feeding' the neurons, can also affect their function via the release of neurotransmitters. This new vision of "tripartite synapses," composed of perisynaptic glia in addition to pre- and postsynaptic terminals certainly makes this one of the most exciting discoveries in current neurobiology.

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Bionic arm , artificial intelligence, emg ,eeg ,3d printing, design and development

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Ngugi wa Thiang'O's historical fiction A Grain of Wheat contains myriad polemical voices of the African women who become the subject of the English colonisation and the continuing legacy of the colonial consciousness in the independent Kenya. The Kenyan women played a significant role in mobilizing the African freedom movement which is often overlooked by the existing scholarship. Women condition was pathetic; they were not only harassed by the white people but also the black men with the colonial consciousness. Women supplied the sufficient strength to the Kenyan freedom national movement especially when the black men were detained by the colonial forces. African women are very strong and brave even though they face the malnutrition in the independent Kenya.

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Depiction of Womanhood in ''A Grain of Wheat''

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Medical image segmentation, particularly for polyps in gastrointestinal images, presents significant challenges because of variations in color and morphology observed during colonoscopy imaging. In our study, we focused on this crucial area, utilizing a dataset comprising gastrointestinal polyp images. We employed advanced deep learning techniques, specifically FCN, Dual U-Net with ResNet Encoder, U-Net, and Unet_Resnet, to tackle the segmentation task effectively. To enhance the effectiveness of these algorithms, we incorporated data augmentation techniques, which involve creating modified versions of the initial images to enrich the training dataset. We evaluated the effectiveness of these algorithms using standard metrics like Dice Similarity Coefficient (DSC) and Intersection Over Union (IOU), which quantify the correctness of segmentation compared to ground truth. Among the models tested, the Dual U-Net with ResNet Encoder emerged as the most successful, achieving a DSC of 0.87 and IOU of 0.80. This model outperformed other approaches, including U-Net, FCN, and Unet_Resnet, demonstrating its superior performance in segmenting gastrointestinal polyp images.

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Unet, Resnet, Positron Emission Tomography ,Computed Tomography ,Convolutional Neural Networks, Fully Convolutional Neural Network ,Rectified Linear Unit

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Microfinance has become a significant tool for socio-economic development, gaining prominence in India with the 1992 introduction of the Self Help Groups (SHGs) Linkage program model. This indigenous model has been highly successful in India's microfinance sector. This paper evaluates its current status of microfinance by analysing the report published by NABARD. Key areas of examination include the formation of SHGs, their linkage with banks, loan disbursement. The paper also assesses the regional progress of the SHG Linkage program. Since its inception, the SHG bank linkage has been the most effective means of reaching impoverished communities. The model's success is evident in the positive trends in SHG formation, bank linkage, loan disbursement, and loan collection, which indicate promising future prospects for the program. The SHG bank linkage model's success underscores microfinance's importance in driving economic development. By providing access to financial services to those traditionally excluded, SHGs have empowered millions, promoting financial inclusion and economic stability. This paper highlights the critical role of microfinance in poverty alleviation and economic progress in India, demonstrating the effectiveness of the SHG bank linkage model and its potential for furthering socio-economic development. In conclusion, the SHG linkage program has proven to be a robust framework for delivering microfinance, fostering significant improvements in economic development and poverty reduction. The model's success stories and positive trends suggest a bright future for microfinance initiatives in India

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Micro Finance, Self Help Group, NABARD, FY(Financial Year), SHG Linkage

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In digital systems, the frequency of switching operations involved in internal transistors are high due to complex operations provided by the high demanding applications. The CMOS circuits with increased processing speed perhaps increase the leakage voltage, leakage temperature and leakage current in the transistors. Depends on the number of connectivity (the fan-in and fan-outs) the path delay is generated. The proposed system focused on testing the path delay variations on different circuits involving the reconfigurable comparator and fast frequency generating oscillator. The presented system involved with testing of on-chip performance at different frequency of operations. The reconfigurations are viable with simple tuning operations involved with XILINX XC95144XL device. The device work with 40 MHz operating clock with active low device reset. The configurable oscillator is implemented inside the device; hence the simulation is validated through XILINX ISE and Quartus II. The presented system achieved 3.89 ns latency in which 3.240ns as logical latency and 0.650ns as routing latency. The results are compared with existing state of art approach in terms of path variational delay

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Low power design, Path delay, Digital circuits, Oscillator, Cmos design.

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Selecting the most appropriate treatment for a medical condition is a critical decision faced by healthcare providers and patients. The effectiveness of the chosen treatment significantly influences patient outcomes, quality of life, and healthcare costs. However, the decision-making process is intricate, involving multiple factors such as treatment efficacy, potential side effects, cost implications, patient preferences, and treatment duration. To address these complexities, structured decision-making frameworks, integrating evidence-based medicine and patient-centered care, are essential. In this paper, we explore the application of Multi-Criteria Decision Making (MCDM) techniques in treatment selection. Specifically, we focus on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a widely recognized MCDM method. We present a detailed methodology for applying TOPSIS to evaluate and rank treatment options based on multiple criteria. By constructing a decision matrix, normalizing it, applying weights, and calculating separation measures from ideal solutions, we derive the relative closeness of each treatment option to the ideal solution. The results indicate that surgery emerges as the most preferred treatment option, followed by medication, physical therapy, and lifestyle changes.

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Multi Criteria Decision Making, TOPSIS, Treatment Selection, Clinical Decision-Making.

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In order to store and manage data from multiple sources, such as transactional systems, operational databases, and external sources, a centralized repository known as a data warehouse. It is an invaluable tool for organizations that need to make well-informed decisions based on large amounts of data. The structured and organized data stored in a data warehouse can store multidimensional information and facilitate easy retrieval and analysis, giving organizations valuable insights into their performance and operations. This makes strategic decsion making. The capacity to access both historical and present data, which enables companies to analyze trends and performance across time, is one of the main advantages of data warehousing. Moreover, changes in a data warehouse are usually planned for predetermined times, guaranteeing a constant and trustworthy supply of data for analysis. In business intelligence, data warehousing is essential because it enables firms to take calculated actions that lead to goal achievement.

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data,Azure

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Anxiety disorder (Izter?b-i-Nafs?n?) involves both psychological and physiological elements, comprising somatic, cognitive, emotional, and behavioural aspects. According to Unani Medicine, anxiety falls within the domain of Infial?t-i-Nafs?niyya, which refers to psychic reactions. This concept involves the movement of the pneuma (Ru?) and blood, facilitated by the vital faculty (Quwwat-i-?aiw?niyya). Unani Medicine adopts a holistic approach, addressing both preventive and curative aspects of patient care. Psychiatric disorders, known as Amr??-i-Nafs?niyya in the Unani system of medicine. Treatment modalities in Unani medicine encompass Regimenal Therapy, Dietotherapy and Pharmacotherapy. This review outlines various essential forms of Regimenal therapy, such as Dalak (Massage), ?amm?m (Turkish bath), Na??l (Irrigation), Takm?d (Fomentation) and Riy??at (Exercise), alongside commonly used Unani pharmacotherapeutic approaches documented in reliable Unani literature. In modern practice, treatments for anxiety encompass CBT, Deep Muscle Relaxation and various medications like Benzodiazepines, SSRIs, SNRIs and Beta Blockers. While effective initially, prolonged use of these drugs can lead to dependency, resulting in withdrawal symptoms such as irritability, nausea, drowsiness, vomiting, nightmares, headache, or paresthesias and ultimately depression which often accompanies bipolar disorder. Conversely, Unani medicine employs Tonics (Muqawwiy?t), Exhilarants (Mufarri??t) and Evacuants (Munaqqiy?t), alongside Regimenal therapies, aimed at strengthening vital organs and eliminating morbid humour and moreover has least side effects and also are cost effective to be used in long term. However this review paper aims to delve into the rich tapestry of Unani literature to elucidate the conceptualization and therapeutic approaches towards Amr??-i-Nafs?niyya.

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Anxiety disorder, Amr??-i-Nafs?niyya, Regimenal therapy, Bipolar disorder, Unani Medicine

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Anita Desai stands out as a serious, skilled, and promising novelist in contemporary India. Among Indian English novelists, she is undeniably one of the strongest voices. Desai dedicates herself to articulating the silent struggles and helplessness of countless individuals grappling with existential issues. As the unrecognized queen of the inner emotional world, she effectively portrays the intricate illusions of her delicate protagonists. By shifting the focus from outer to inner reality, she has brought a new dimension to the Indian novel in English. G. Rai has aptly described her as a writer with a genuine voice. Desai is renowned for her exceptional narrative skill.

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Narrative, Executive, style, language and technique.

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Creative Commons Attribution 4.0 and The Open Definition