Volume 9 | Issue 5

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In contemporary world, a man or women is engaged with different worldly duties in their profession, work, commitments, family maintenance etc. Smart medicine has emerged to contribute the evolution of healthcare and medical services by applying machine learning together with advanced computing techniques like cloud computing to computer-aided diagnosis and treatments. Depression is another name for mental illness. It can lead to severe health complications and increase the risk of stroke, and sometimes death. Machine learning is mainly focusing on Mind and then Matter. Main motive of this project is to give the analysis and prediction of depression because 21% people are affected in this psychological disease across the nation. In this paper, we collected the datasets which contains patient records and histories with medication process. We analyzed the hypothesis from the records, to point out which are all the major factors to affect the man or women. Besides we are highlighting the factors with grades in different geographical structures like Family problem, Physical illness, Lust or desire not obtained so far. We are introducing ensemble learning method for predicting the disease level for the particular node. Ensemble learning is the process by which multiple models, such as classifiers or experts, are strategically generated and combined to solve a particular computational intelligence problem. We compute a unified medicine framework based on the depression identification parameters using

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AN EFFICIENT MEDICAL FRAMEWORK FOR DEPRESSION RISK PREDICTION USING ENSEMBLED LEARNING

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To create some outstanding new ideas of innovation during Pandemic, this paper reveals an augmented study of modified robust fuzzy clustering approach to detect the unusual outliers. Outlier Detection, an unsupervised learning used to detect complex dataset to identify perpetual outliers using membership function to tolerate the uncertainty. The first stage aims to estimate auto-detection of noise reduction, incorrect data points and so on as perpetual outliers. The second stage aims to determine the characterization of utilized input parameters of unending outliers using FCM (Fuzzy C-means Clustering) method to find FOF(Fuzzy Objective Function). This method enhances accuracy, efficacy over similarity measure and performance efficiency that assessed over some UCI repository datasets. Experimental results and statistical evaluation shows effectiveness of detecting perpetual outliers.

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Outliers, fuzzy, clustering, Fitness, Perpetual, FOF, Characterization

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Physical infrastructure is one of the major assets of a city for economic and sustainable development. Globally Physical Infrastructure is facing threat due to the lack of Infrastructure resources within the city and its proximity. This paper envisages factors of land use implications, and the process of physical infrastructure development that would reflect the current contemporary challenges. The need and necessity of various types of infrastructure has been rapidly increasing beyond their core functions, which demands the involvement of stake holder participation to promote orderly decisions on infrastructure development policies. An empirical analysis is conducted on time series annual data from 1991 to 2011 for water supply and sanitation of kavali town. The availability of infrastructure facilities is inadequate and requires improvement for the future. The results suggest that public physical infrastructure provision certainly improves the socio-economic conditions by contributing towards growth in the ULB. This paper also suggests and proposes new innovative techniques for improvement of facilities by considering the norms and guidelines framed by the public authorities.

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Land-use Analysis, Physical Infrastructure, urbanization, ULB and sanitation

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The recent rapid growth in big data, networking, and machine learning is due to exponential advances in processing, storage, and network technologies. As the world becomes more digitalized, there is a greater need for comprehensive and sophisticated security technologies and strategies to address the increasingly complex nature of cyber-attacks. This paper examines how machine learning, big data is being used in cyber security, both in defence and offense, with a focus on cyber-attacks against machine learning models. Machine learning can be used to carry out cyber-attacks, such as smart botnets, sophisticated spear fishing, and evasive malware. In the field of defence, big data analytics refers to the ability to collect large volumes of digital data in order to analyse, visualize, and derive knowledge that can help predict and prevent cyber-attacks. It gives us a stronger cyber defence stance when combined with security technologies. They allow businesses to identify patterns of behaviour that indicate network threats. Machine learning is used in cyber security for threat identification and prevention, malware detection and classification, and network risk rating, among other things.

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Cyber Security; Machine Learning; Malware; Threats Detection and Classification; Network Risk Scoring, Big Data Analytics

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AN ANALYSIS OF WOMEN ENTREPRENEURS IN DAKSHINA DISTRICT, KARNATAKA

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Time banks are innovative community program which attracted significant interest from the public and voluntary sectors especially in the west. Time banking is the thought where individuals volunteer time for a help and that time is recorded and kept in a record and can be utilized to acquire administrations when a volunteer requires. The paper examines the concept of time-banking and its utility in the Indian context. Timebank is a reciprocal service exchange and promotes equality and dignity of labor. Time bank is based on the notion that every work is equal and everyone has something to offer. Time-banking aims to build community and reciprocity through the exchange of time-based currency. India has rich history of volunteerism and community building and the model of time banking can help to build the social capital in the country. Time banking as concept is based on the foundation of co-production and social exchange.

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time banking, co-production, community, reciprocity, volunteers,social capital

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Corporate social responsibility (CSR) is a type of international private business self-regulation that aims to contribute to societal goals of a philanthropic, activist, or charitable nature by engaging in or supporting volunteering or ethically-oriented practices. The purpose of corporate social responsibility is to give back to the community, take part in phhropic causes, and provide positive social value. The impact of Corporate Social Responsibility (CSR) on firm performance is an important issue in organizational research and has been discussed for decades. Only lately, scholars turned their attention towards aspects on an individual level, like the relation between CSR and work satisfaction or work engagement.

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Impact of corporate social responsibility on employee motivation.

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Dielectric constant, Dielectric loss, frequency, Moisture content.

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competitive marketplace

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Solid lipid nanoparticles (SLN) are one of the most rapidly evolving nanotechnology formulations, with numerous applications in fields such as drug delivery, clinical medicine, research, and a variety of other sciences. SLN are nanometer-sized spherical particles that are dissolved in water or aqueous surfactant solution and treated with lipophilic or hydrophilic drugs. Also improving the solubility and bioavailability of poorly soluble drugs can be done with biodegradable and bio acceptable polymers that can also resolve the harmful effects of traditional drug carriers. The different development strategies and their assessment were the subject of this review report. The major applications of SLNs, primarily targeted drug delivery, are discussed, as are the analytical methods used in SLN evaluations.

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Keywords: solid lipid nanoparticles, methods of preparation, evaluation, applications.

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Introduction: A cross sectional survey conducted to study the knowledge, attitude and practices of menstrual cups and its recommended usage from health care providers dealing with young girls and women. Methods: A questionnaire was used which consisted 20 questions regarding the advocacy of menstrual cups, health and hygiene, cervical cancer/vaccine during campaigns/consultation, feedback from young girls using menstrual cups, usage of digital platform to seek information on menstrual cups and also assess the knowledge, attitude and practice of the health care provider . Results: A total of 163 obstetricians and gynecologists in the public and private practice in Bangalore gave the responses. 93% of the health care providers thought that menstrual cups are more environment friendly than sanitary pads. Only 57% of health care providers actually advised young girls on the usage of menstrual cups. Though 50% of health care providers thought that it is appropriate to advice about menstrual cups to young girls, still only 35% only advocated the use of menstrual cups to young girls. Conclusion: Awareness among the healthcare providers on advocacy of eco-friendly measure to promote menstrual health and hygiene should be improved. .

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Menstrual cup, Hygiene, cervical cancer, vaccine, survey, health providers, young girls, women.

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The marine fisheries sector is dominated by the socio-economically backward artisanal and small-scale fishers whose lives are closely intertwined with the oceans and seas. However, 75 percent of the total marine fish production comes from the mechanized sector, 23 percent from the motorized sector, and only 2 percent from the artisanal sector. Despite stagnation in the growth of marine capture fish production over the years, the dependency of traditional marine fishers on marine capture fisheries for livelihoods has been increasing and it is only imperative that sustainable alternative livelihood opportunities like mariculture activities are developed and promoted. The Indian fisheries sector is set in a unique and diverse set of resources ranging from the pristine waters of the Himalayas to the sprawling Indian Ocean. The fisheries biodiversity of the country encompasses a wide spectrum of physical and biological components that support the livelihoods of millions of people. Fisheries resources are set in different ecosystems.

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Fisheries Sector in India, Fish Production in India

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This study is based on online payment apps and the usage of customers and their satisfaction towards online payment apps

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Satisfaction, customers

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In present days there is a lot need for low force ring oscillator which is executed with straightforward CMOS inverters. Ring oscillator is a fundamental structure block in integrators. The ring oscillator based integrators are the critical components in the simple channel plan. The DC gain of the ordinary integrators is rigorously restricted by the increase of the Operational Tran conductance amplifier (OTA). Here we proposed a ring oscillator with a low force utilization. In this plan inverters are associated in fell structure to acquire a three phase ring oscillator the yield of first stage is taken care of to the contribution of second stage. The ring oscillator utilizes an odd number of inverters to give the impact of a single reversing amplifier with an increase of more noteworthy than one. The Ring oscillator is created by utilizing Rhythm Tool with a CMOS 180nm innovation furthermore, is mimicked utilizing rhythm ghost. The supply voltage was changed from 0.5 V to analyze the recurrence and force utilization of the circuit. The deliberate recurrence had a reach of 38MHz and the force utilization is 129uW.In this paper above mentioned is proposed

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Analog filter, integrator, CMOS, ring oscillator.

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The undertaking title is "E-VOTING APPLICATION USING VOTER AUTHENTICATION ".The issue of casting a ballot is as yet basic as far as wellbeing and security. This paper manages the plan and improvement of an online democratic framework utilizing finger impression and Aadhaar card to furnish an elite with high security to the democratic framework. Likewise, we use web innovation to make the casting a ballot framework more pragmatic .The proposed Online Voting System permits the electors to filter their finger impression ,which is then coordinated with an as of now save harm with in an information base that is recovered from Aadhaar card information base of the public authority. The democratic framework is overseen in an easier manner as every one of the clients must login by Aadhaar card number and One Time secret key and snap on his/her good possibility to make the choice. This will build the democratic rate in India and diminishes the expense of casting a ballot interaction. By utilizing biometric unique mark it gives sufficient security which diminishes he bogus votes

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Administrator ,User, Biometric, Fingerprint

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There has been considerable research interest of late in the use of adsorption in Thermal Energy Storage. The use of TES for the transformation of low temperature heat in applications such as cooling and heating has been the focus of some applications. Zeolite and water have been studied as materials that are appropriate. They are visible due to their characteristics as environmentally friendly materials and high affinity. It is also significant that zeolites have unique properties to hold adsorbed water/heat with very minimal loss. A Stirling engine was used to generate electricity with the aid of a dynamo, as a heat engine and an adsorption energy storage system serving as a heat pump. The relation between the generation of electricity and temperature has been investigated. The average temperature and pressure of the zeolite - water adsorption heat pump obtained were also compared with the basic adsorption cycle.

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Thermal Energy Storage, Stirling Engine, Zeolite, Adsorption, Electricity Generation

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This paper proposes a novel three-stage nine-switch ac/ac converter topology. This converter highlights sinusoidal sources of info and yields, solidarity input power factor, and all the more critically, low assembling cost because of its decreased number of dynamic switches. The working guideline of the converter is expounded; its modulation plans are examined. Mimicked semiconductor misfortune examination and correlation with the consecutive two-level voltage source converter are introduced. At long last, exploratory outcomes from 5-kVA model framework are given to confirm the legitimacy of the proposed topology.

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reduced switch count topology , pulsewidth modulation(PWM), AC/AC converter.

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mentorship program, mentors, mentees, leadership development

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