Volume 11 | Issue 10

 Abstract

A nanoparticle is a tiny particle with a size between one to one hundred nanometers. Due to their small size, these are not visible by the naked eye and exhibit enhanced properties such as high reactivity, strength, sensitivity, stability, surface area, etc. Comparatively, to their larger material equivalents, nanoparticles can display significantly highly advantageous physical, chemical, and medicinal properties in order to protect human life. Nanotechnology has emerged as a prominent multifaceted field in the past few years, with potential applications in the medicinal products sustainability of the environment, agriculture, industries and remediation of pollution domains. Nanoparticles are synthesized by using a variety of methods. Traditionally, physicochemical methods have resulted in concerns regarding the environment as they reduce metal ions, which is followed by surface modification, the addition of toxic compounds for stability, and the resulting generation of deleterious byproducts. Reducing and stabilizing agents are required for synthesizing nanoparticles by using chemical, physical and biological procedures at ambient temperature and pressure. Different physical, chemical and green synthesis methods were used to synthesize nanoparticles. Ball milling, melting, pulsed laser ablation, and pulsed wire discharge technology are examples of physical approaches. Different plant root, stem, and leaf sections, as well as bacteria, fungi, and yeast, were used in herbal approaches as well as a polyol, micro-emulsion, and inert gas condensation to create nanoparticles. The nanoparticles are synthesized by using two approaches like top-down approach and the bottom-up approach. This review expresses the formulations about chemical, physical and green synthesis of nanoparticles.

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Nanoparticles, Nanotechnology, Physical synthesis, Chemical synthesis, Green synthesis method

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Innovations in traditional textiles are the tools for the new approaches and innovative aspects in the field of designing. Innovative approaches and skills play a significant role for the development of new designs in traditional textiles. It includes the ideas, skills and innovations in this field. In recent times it is an innovative field of knowledge for designers to develop their imaginations for enhancing the demand and uses of traditional textiles. It aids new look and styles with the adaptation of new innovative technology and Designing. It is the great opportunity for the designer to develop the scope for traditional textiles. It is very important to provide innovative designs in traditional Textiles for enhancing their demand in the international market. With the help of some innovations in textile designing and technology to increase the speed and accuracy. Reusing and Redesigning are useful to minimize the textiles waste, such innovative techniques provide the new identity to Indian textiles. Key words: Design development, innovative skills, textiles, technology

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INNOVATIONS IN DESIGN AND TECHNOLOGY FOR TRADITIONAL TEXTILES

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Precision agriculture is an evolving approach in modern farming that leverages technology to optimize agricultural processes. Wireless Sensor Networks (WSNs) have emerged as a valuable tool in precision agriculture, enabling real-time monitoring of environmental parameters and crop conditions. Machine learning algorithms, when integrated with WSNs, further enhance the decision-making process by analyzing data collected from the field. This paper provides an overview of the synergy between WSNs and machine learning in precision agriculture, emphasizing their applications, advantages, and challenges. A more productive and sustainable future for agriculture throughout the world depends on the use of sensors and the Internet of Things (IoT). New developments in the Internet of Things (IoT), Wireless Sensor Networks (WSN), and Information and Communication Technology (ICT) may be able to help this industry overcome some of its technological, economic, and environmental problems while also creating new possibilities. There is an increasing amount of big data with different modalities and temporal and geographical fluctuations as the number of connected devices grows. To achieve improved decision making, forecasting, and dependable sensor management, a deeper degree of knowledge base and insights must be developed through the intelligent processing and analysis of this massive data. This article provides an extensive overview of the many machine learning applications.

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Energy efficient, energy harvesting, precision agriculture, wireless communication Technology, WSN.

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The process of human development begins at fertilization, where a sperm penetrates the egg, forming a single cell known as a zygote. This marks the start of embryonic development, with crucial stages such as organogenesis occurring. Pregnancy spans 9 weeks, divided into three trimesters. Managing medications during gestation and lactation is challenging, as drugs can potentially harm the growing fetus or lactating baby. The first trimester is especially sensitive to medications, necessitating caution in treating common ailments for women at risk of pregnancy. Unfortunately, around 3-5% of live births face birth defects, totaling approximately 8,000 babies. Certain medications, like tetracycline and Thalidomide, can cause serious abnormalities such as teratogenicity, microcephaly, hydrocephalus, spina bifida, and various other conditions. Some Ayurvedic herbs might have unknown effects on pregnancy.Lack of scientific research makes it hard to determine their safety during pregnancy.Pregnant women should always consult knowledgeable healthcare providers before using any Ayurvedic remedies.Individual factors, including the woman's health, the specific Ayurvedic medicine, and the pregnancy stage, all play a role in potential effects.Some Ayurvedic herbs and preparations are avoided during pregnancy due to their potential effects on the uterine muscles or hormonal balance This composition aims to provide current and reliable information on drug usage during pregnancy, offering an updated perspective on the guidelines set forth by the US Food and Drug Administration (FDA) regarding gestation and lactation

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fertilization, fetus Teratogenic drug, drug used in pregnancy, ayurvedic medicine used in pregnancy.

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The PCA was also established by the Convention for the Pacific Settlement of International Disputes, concluded at The Hague in 1899 during the first Hague Peace Conference. The Conference was convened at the initiative of Czar Nicolas II of Russia "with the object of seeking the most objective means of ensuring to all peoples the benefits of a real and lasting peace, and above all, of limiting the progressive development of existing armaments." The 1899 Hague Convention was later revised at the second Hague Peace Conference in 1907 and, as of December 2011, 115 States have ratified one or both of the Hague Conventions. Matters of policy are decided by an Administrative Council, composed of the diplomatic representatives accredited to the Netherlands of the State Parties to the Hague Conventions. Originally, the institution was established to settle inter-state disputes .However, due to the increasing demand for an institution to arbitrate on other matters such as issues involving intergovernmental institutions, private individuals and individuals against state, the jurisdiction of the permanent court of arbitration was extended widely and till date, it covers apparently all these areas of arbitration per se. Therefore, the aim of this submission is to cater for an elaborate knowledge in understanding the permanent court of arbitration, its origin, jurisdiction, laws applicable and its relevant in solving contemporary disputes around the globe

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Arbitration, Mediation, Hearing, Advisory.

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The purpose of this system is to prevent loss of property and life due to fire hazards caused by natural fire, accidental fire, and short-circuit fire. The Internet of Things (IoT) is a collection of wired, Internet-enabled computers. The wide range of sensors in this paper will be used to detect fires and watchmen and fire officials. This system includes NodeMCU with esp8266 Wi-Fi module based on microcontroller, flame sensor to detect the fire flame, humidity sensor to measure the temperature and moisture, gas sensor to sense the smokes, water pump to automatically sprinkle over the fire and blynk application to use the alerting messages on mobile phone. The problem with using the system is that the whole system stops working when the power fails.

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NodeMCU, Internet of Things, Blynk application, Flame sensor, Gas sensor, Humidity sensor, Water pump

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Data science is an emerging subject that integrates traditional scientific research with data mining, machine learning, and massive datasets. The healthcare sector produces copious amounts of valuable data on patient demographics, treatment plans, diagnostic outcomes, financial coverage, and more. The healthcare business generates a great deal of data, much of it unstructured and in need of processing, management, analysis, and integration. Results can only be trusted if the data has been managed and analysed effectively. This article explores into healthcare-specific applications of data cleansing, data mining, data preparation, and data analysis. This article offers a glance into the present and future prospects of big data analytics in healthcare by outlining the advantages, describing the frameworks and technique used, analysing the current obstacles encountered, and proposing potential solutions. The primary goal of this work is to evaluate and map data science approaches used to improve women's health, as well as to investigate the nature and efficacy of the issues that have been addressed. Data science techniques, such as text analytics, science mapping, and descriptive assessment, are frequently employed in investigations into women's health. The application of data science techniques to women's health issues is an exciting new field of study since it has the potential to be both effective and cost-efficient. Women bear a disproportionate share of the health consequences of the current COVID-19 pandemic. More needs to be done by policymakers to ensure women have equal access to health care.

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Data science, women, Healthcare, machine learning, algorithms, big data.

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The aim of the study was to find out the relationship between marital adjustment and depression among newlyweds. The study adopted correlational research design. A purposive sample of 105 newly married participants were taken for the study. Revised Dyadic Adjustment Scale and Beck's Depression Inventory was used for data collection. The result of the study was analyzed employing Pearson's product moment. The findings of the study indicate that, there is a significant negative relationship between marital adjustment and depression among newlyweds, which reveals as the level of depression increases the level of marital adjustment decreases and vice-versa.

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Marital Adjustment, Depression, Gender and newlyweds.

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Keywords: Art Criticism, Critics, Artists, Art Work, Self-criticism

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The proportion of the world adolescent population is rising rapidly than that of any other age group. Between 1960 and 1980, while world population increased by 46%, the population of adolescent increased by 66%. Today 84% of adolescents live in developing countries. In India there are an estimated 200 million adolescents, comprising one-fifth of the total populationAdolescence is an important time in the life of an individual. It is a time of major physical changes including growth spurt in which the size and shape of the body changes markedly. During adolescence there is significant psychological as well as behavioural development, putting great stress on young people and those around them.

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PROBLEM STATEMENT

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Alzheimer's complaint (announcement) is related to cognitive impairment, madness observed generally in aged population due to neurodegeneration in an ongoing manner. It gradationally worsens memory power of the case. The hallmark opinion features include conformation of senile pillars and Neurofibrillary be fuddlements (NFT'S). Too little vacuity of Acetyl choline (ACh) a neurotransmitter in the cerebral region due to metabolism by an enzyme Acetyl choline esterase before showing its action and neural death are the primary reasons for announcement. There are numerous orders of Anti-Alzheimer's medicines available for operation of announcement in the request but due to lack of patient compliance successful issues weren't observed. piecemeal from this including Nutraceuticals in diet diurnal routine, Aromatherapy, variations in the regular schedule, rehearsing yoga regularly relaxes mind and body from pressures, wakefulness, blood rotation, detoxification of organs due to metrical breathings and reduce frequency of prevalence of headache are proven to show stylish results by relieving stress according to check. At present herbal drug has turn out to be stylish choice for the operation of announcement because of its vacuity, veritably profitable, good case compliance, ease of expression and lower injurious side goods. new ways can be used for the development of herbal drug. This review completely discuses about the circumstance of announcement, its Pathophysiology, different stages in the complaint, colorful picky remedial targets for announcement, available Anti AD herbal medicines similar as Curcumin, Withania somnifera, Bhrami, Ginkgo biloba, guggul, ginseng, sauces with essential canvases, unpredictable canvases, source and civilization of the sauces, medium of action of the Phytochemicals in the condiment responsible for treating announcement.

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Alzheimer's Disease, Dementia, Treatments, Herbal Medicine, Cognitive Impairment

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Rice, also known as Oryza sativa in whatever form, is one of the main staple crops farmed in India and is a common food in many developing nations where Hidden hunger is a problem. This Review Paper Addresses that it presents a special chance to boost nutrition through the fortification of rice. A type of rice that has been upgraded with added nutrients to address nutritional deficiencies in a particular population is referred to as fortified rice, also known as bio-fortified rice or enriched rice.Rice is one of the most extensively consumed foods in the world and is a staple in many cuisines all over the world. It can account for up to 70% of a person's daily calorie consumption in low-income countries. Despite being an energy source, it is a poor supplier of micronutrients and has little nutritional value overall outside carbohydrates and proteins. The widespread consumption of rice presents an opportunity to narrow the nutritional gap in rice-eating populations through enhancing the nutritional value of rice. Through post-harvest fortification of rice, a wide range of vitamins, minerals, and other nutrients, including amino acids and fibers, can be added. The Indian government is also intrigued by this. In order to successfully combat malnutrition and encourage sustainable development

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Oryza sativa , Staple crops, Hidden hunger, Fortified Rice, Malnutrition, Sustainable development

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Fire incident is a disaster that can potentially cause the loss of life, property damage and permanent disability to the affected victim. They can also suffer from prolonged psychological and trauma. Fire fighters are primarily tasked to handle fire incidents, but they are often exposed to higher risks when extinguishing fire, especially in hazardous environments such as in nuclear power plant, petroleum refineries and gas tanks. They are also faced with other difficulties, particularly if fire occurs in narrow and restricted places, as it is necessary to explore the ruins of buildings and obstacles to extinguish the fire and save the victim. With high barriers and risks in fire extinguishment operations, technological innovations can be utilized to assist firefighting. Therefore, the development of a firefighting robot can extinguish fire without the need for fire fighters to be exposed to unnecessary danger.In this project, Robot is designed to be compact in size than other conventional fire-fighting robot in order to ease small location entry for deeper reach of extinguishing fire in narrow space. Robot is also equipped with a IR Obstacle Sensor is attached for fire detection. This resulted in Robo demonstrating capabilities of identifying fire locations automatically and ability to extinguish fire remotely at particular distance.

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Fire Incident, IR Obstacle Sensor,Robot,Fire-Flighting Robot,Hazardous Environments.

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The identification of fake Indian currency is a critical task in ensuring the integrity of financial transactions and preventing counterfeit currency from circulating in the economy. In this project an image processing-based method for the identification of fake Indian currency was proposed. The goal is to develop a system that can accurately differentiate genuine currency notes from counterfeit ones based on their visual characteristics. The image processing-based approach leverages the power of image processing algorithms to analyze various security features embedded in Indian currency notes, such as watermarks, security threads, microprinting, and other intricate patterns. The image processing pipeline involves preprocessing the input currency image, extracting relevant features, and applying classification techniques to make the authenticity determination

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Fake Indian Currency,Financial Transactions, Pre-Processing,Security Threads.

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The objective of the system is to train a fully CNN (convolutional neural network) with semantic segmentation of an image and video from a front-facing camera in a car. Self-driving cars are the next generation cars which work with sensors like radar, ultrasonic and LiDAR. So, the efficiency of these sensors is important to avoid any unnatural problems like accidents or deaths. The proposed system uses semantic segmentation to process the image classifying as each pixel to a label, extracts the image features and gives color-coding to each object. The system is implemented through an algorithm of convolutional neural network (encoder-decoder architecture with skip connections) with semantic segmentation, by using Cityscape's dataset a very famous set of images for benchmarking semantic segmentation algorithms. There are about 30 datasets, such as road, car, building, traffic sign, person, etc. As the future is dependent on autonomous systems like self-driving cars, drones, and robotic navigation, it is important for the system to identify road signals, traffic lights, vehicles, people, buildings, road signs and label them. The system prompts proper navigation of the roads to reduce accidents.

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Convolution Neural Networks, Semantic Segmentation ,Encoder-Decoder, Cityscape's Dataset, Self-Driving Cars

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 Abstract

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-

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This paper introduces the implementation of recommending music recommending based on the user emotion recognition. Automatic Emotion Recognition is one of important feature extraction system in advanced deep learning where it can extract the features of face based on Haar Cascades and Convolution Neural Networks (CNN).For extraction of features from face a proper training model model is required for better prediction. In this paper, an automatic face recognition system via deep learning methodologies with music automatic recommendation system to play a music as per the emotion predicted by the machine like (Happy, Angry, Surprise, Sad etc). As per the emotion music will be recommended.Facial expressions are captured by a web camera in our device. Here we use CNN algorithm for the recognition of the feature from the captured image. Thus, the proposed system is based on the emotion detection the music will be recommended to the customer.

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Convolution Neural Networks, Haar Cascades, Deep Learning, Emotion Recognition, Facial Expressions.

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Investment in mutual funds is very important issues in the present time due to the increasing inflation rate in India. This investment is not tough for the investor in the long term period in the Indian financial markets. It will be simple for long term investment directly in Indian financial market on the basis of some metrics in the large cap equity mutual funds, in the maximum case, investment on the basis of metrics, the mutual funds gives hand some return for the long term investment. In this paper, Alpha, Beta, Standard deviation and Sharpe ratio are taken to identify the large cap equity mutual fund, whose returns are better in the long term investment period. Higher the ratio of Alpha, Beta, Standard deviation and Sharpe of mutual funds, have the more chances to give the higher return on large cap equity mutual fund in Indian financial market.

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Metrics, Alpha, Beta, Standard Deviation, Sharpe, Lump Sum

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 Abstract

'kkjhfjd f'k{kk fo|ky;hu vkSj egkfo|ky;hu rFkk fo'ofo|ky;hu Lrj ij i<+k;k tkus okyk ,d ikB~;dze gSA bl f'k{kk ls rkRi;Z mu izfdz;kvksa ls gS] tks euq"; ds 'kkjhfjd fodkl rFkk dk;ksZ ds leqfpr laiknu esa lgk;d gksrh gSA fdlh Hkh lekt esa 'kkjhfjd f'k{kk dk egRo mldh izo`fRr;ksa] /kkfeZd fopkj /kkjkvksa] vkfFkZd ifjfLFkfr rFkk vkn'kZ ij fuHkZj gksrh gSA izkphu dky esa 'kkjhfjd f'k{kk dk mn~ns'; ekalisf'k;ksa dks fodflr djds 'kkjhfjd 'kfDr dks c<+kus rd gh lhfer Fkk vkSj bl lc dk rkRi;Z ;g Fkk fd euq"; vk[ksV esa] Hkkjogu djus esa] rkykc ;k leqnz esa xksrk yxkus esa lQy gks lds] fdUrq 'kkjhfjd f'k{kk ds mn~ns'; esa Hkh le; ds vuqlkj ifjorZu gksrk x;k vkSj 'kkjhfjd f'k{kk dk vFkZ 'kjhj ds vo;oksa ds fodkl ds fy;s lqlaxfBr dk;Zdze ds :i esa gksus yxkA orZeku le; esa 'kkjhfjd f'k{kk ds dk;Zdze ds vUrxZr O;k;ke] [ksydwn] euksjatu vkfn fo"k;ksa dks 'kkfey fd;k tkus yxk gSA bu dk;Zdze dks fu/kkZfjr djus ds fy;s 'kjhj jpuk rFkk 'kjhj fdz;k foKku] euksfoKku rFkk lekt foKku ds fl)kUrksa ls vk/kkj fy;k tkrk gSA O;SfDrd :i esa 'kkjhfjd f'k{kk dk mn~ns'; 'kfDr dk fodkl vkSj ukM+h Luk;q laca/kh dkS'kyksa dh o`f) djuk gksrk gS rFkk lkewfgd :i esa lkewfgdrk dh Hkkouk dks tkxzr djuk gksrk gSA

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War is an extraordinary furnished struggle between states, legislatures, social orders, or paramilitary gatherings. It is for the most part portrayed by outrageous brutality, obliteration, and mortality, utilizing customary or sporadic military powers. One has just to think back to the devastation to appraise the horrendous impacts of war. In all ages, war has been a significant subject of examination. It has prompted a considerable number of slaughters and has shown us the malevolent that exists inside the spirits of humankind. With the episode of WWI, the present day emergency go into another stage. Powers which had laid dorment since the renaissance started to obliterate and change the design of the general public. WWI brought to public notification many poets, especially among the young fellows in the military. Simultaneously, it gave another wellspring of motivation for authors to lay out standing. A considerable lot of youthful writers were killed or passed on in the battle and it is difficult to gauge the misfortune endured by English verse because of their demise. Throughout history, war has been a problem for humanity and has left both winners and losers with permanent scars. The effects of war are sweeping, including each part of human life. One of the quickest results is the lack of lives. Fighters and regular people, the same, succumb to the persevering savagery of war, leaving families broken and networks deprived of their friends and family.

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struggle, brutality, obliteration, sweeping, first world war, broke, deprived.

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