bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of reach, usability and user perceptions of a Canadian COVID-19 website: An e-mental health strategy aimed at reducing pandemic associated stress among the general population. (Preprint)
Authors: Minian Nadia , Gayapersad Allison , Saiva Anika , Dragonetti Rosa , Kidd Sean A , Strudwick Gillian , Selby Peter
Published: May 2022

BACKGROUND

COVID 19 and its public health response are having a profound effect on people’s mental health. In order to provide supports during these times Canada’s largest mental health and addiction teaching hospital (CAMH) launched the Mental Health and the COVID-19 Pandemic website on March 18, 2020. This website was designed to be a non-stigmatizing psycho-educational resource for people experiencing mild to moderate distress due to COVID-19 and the public health response to the pandemic.

OBJECTIVE

The aim of this study was to examine the reach, usability and user perceptions of the CAMH Mental Health and COVID-19 Pandemic website.

METHODS

This study utilized a mix-method sequential explanatory design approach, which consisted of two distinct phases: 1) quantitative data collection and analysis followed by, 2) qualitative semi structured interviews. In phase 1, we analyzed google analytics data to understand how many people visited the website, and which were the most visited pages. We conducted a survey to identify users’ socio-demographic background, and assess the usability of the website using the System Usability Scale (SUS) tool, and users subjective stress levels using the perceived stress scale (PSS-10). For phase 2, we conducted semi-structured interviews to explore user experiences, their motivation, engagement, satisfaction and perception of the stress reduction strategies, and reflections of the website’s functionality, ease of use, navigation, design, and recommendations for improvement.

RESULTS

Google analytic results showed 146,978 unique users from June 2020 to March 2021. Most users were from Canada (88.5 %). Between February 20, 2021 and June 4, 2021, 152 users completed the survey. Most users identified as white, female, and having at least a college degree. Based on the PSS-10 scores, most participants were experiencing moderate to high stress when they visited the website. Users rated the usability of the website as acceptable. Ten users completed in-depth interviews between May 2021 and June 2021. Positive feedback related to the content was that the website was a trustworthy source of mental health information with helpful evidence-based stress reduction strategies. Areas for improvement included the text heavy design of the website, wider dissemination/marketing, and greater accessibility of the website to meet the needs of diverse populations.

CONCLUSIONS

Adding stress reduction resources in a website from a well-respected institution may be a practical method to increase awareness and access to evidence-based stress reduction resources during times of crisis where there is severe disruption to usual health care contacts. Efforts are still needed to ensure that these resources are more widely accessed especially by diverse populations.
Evaluation of Conflicts of Interest among Participants of the Japanese Nephrology Clinical Practice Guideline
Authors: Murayama Anju , Yamada Kohki , Yoshida Makoto , Kaneda Yudai , Saito Hiroaki , Sawano Toyoaki , Shrestha Sunil , Shrestha Rajeev , Tanimoto Tetsuya , Ozaki Akihiko
Published: May 2022

Background and objectives

Rigorous and transparent management strategies for conflicts of interest and clinical practice guidelines with the best available evidence are necessary for the development of nephrology guidelines. However, there was no study assessing financial and nonfinancial conflicts of interest, quality of evidence underlying the Japanese guidelines for CKD, and conflict of interest policies for guideline development.

Design, setting, participants, & measurements

This cross-sectional study examined financial and nonfinancial conflicts of interest among all 142 authors of CKD guidelines issued by the Japanese Society of Nephrology using a personal payment database from all 92 major Japanese pharmaceutical companies between 2016 and 2019 and self-citations by guideline authors. Also, the quality of evidence and strength of recommendations underlying the guidelines and conflicts of interest policies of Japanese, US, and European nephrology societies were evaluated.

Results

Among 142 authors, 125 authors (88%) received $6,742,889 in personal payments from 56 pharmaceutical companies between 2016 and 2019. Four-year combined median payment per author was $8258 (interquartile range, $2230‒$51,617). The amounts of payments and proportion of guideline authors with payments remained stable during and after guideline development. The chairperson, vice chairperson, and group leaders received higher personal payments than other guideline authors. Of 861 references in the guidelines, 69 (8%) references were self-cited by the guideline authors, and 76% of the recommendations were on the basis of low or very low quality of evidence. There were no fully rigorous and transparent conflicts of interest policies for nephrology guideline authors in the United States, Europe, and Japan.

Conclusions

Most of the Japanese CKD guideline recommendations were on the basis of low quality of evidence by the guideline authors tied with pharmaceutical companies, suggesting the need for better financial conflicts of interest management.
Editorial
Authors: Pacheco-Salazar Berenice
Published: May 2022

No necesita de un resumen.
Study of Plasmid-Mediated Quinolone Resistance in Klebsiella pneumoniae: Relation to Extended-Spectrum Beta-Lactamases
Authors: Bakri Marwah M.
Published: May 2022

Klebsiella pneumoniae (K. pneumoniae) is an important pathogen associated with various infections. The emergence of antibiotic resistances, such as quinolone resistance and those due to extended-spectrum beta-lactamases (ESBL), reduces the available choices for treatment. The objectives of the current study include the evaluation of the prevalence of the plasmid-mediated quinolone resistance genes qepA, acrA, acrB, and aac(6’)-Ib-cr by polymerase chain reaction (PCR) in K. pneumoniae and the determination of the mechanism relating these genes to the ESBL phenotype and resistance to other groups of antibiotics. In total, 300 clinical isolates of K. pneumoniae were included in the study. Isolates were subjected to antibiotic sensitivity tests using the disc diffusion method. Quinolone resistance by the minimum inhibitory concentration method and detection of ESBL resistance by the double disc diffusion method were also determined. PCR analyses revealed the prevalence of acrA, aac(6’)-Ib-cr, acrB, and qepA in 74.3%, 73.7%, 71%, and 6.7% of the isolates, respectively. Quinolone-resistant isolates positive for plasmid-encoded genes represented 82.7% of K. pneumoniae isolates positive for ESBL activity. The results also showed that the isolates of K. pneumoniae carrying plasmid-encoded quinolone resistance genes had significantly increased resistance to amikacin, amoxicillin/clavulanate, gentamicin, and cefoxitin than those isolates without quinolone resistance genes. Therefore, there was a high prevalence of acrA, acrB, and aac(6’)-Ib-cr among K. pneumoniae and the prevalence of quinolone resistance was significantly associated with the ESBL resistance phenotype. Moreover, the presence of quinolone resistance genes was associated with resistance to aminoglycosides, namely amikacin and gentamicin.
A Comparative Study on the Phenotypic Versus Molecular Identification of Clinical Dermatophytes
Authors: Bhosale Namrata K. , Prabha R. , Munuswamy Rajesh , Pramodhini S. , Easow Joshy M.
Published: May 2022

Dermatophytosis is the superficial infection of keratinized tissue like skin, hair, and nails, in humans and animals, by a group of closely related fungi known as dermatophytes. Phenotypic identification of dermatophytes, especially through classical methods can be difficult and uncertain at times, especially when differentiating species with overlapping characteristics. Alternative identification methods based on amplification and sequence analysis of the highly polymorphic internal transcribed spacer (ITS) sequences flanking the 5.8S ribosomal RNA gene has proven to be quite sensitive and reliable. The objective of our study was to compare the phenotypic and the ITS sequencing-based methods for the identification of clinically isolated dermatophyte specimens from Puducherry, India. A total of 13 clinical samples from 39 suspected cases were found positive for dermatophytes using KOH/DMSO preparations. Specimens were subsequently cultured in Sabouraud dextrose agar (SDA) supplemented with chloramphenicol, gentamicin, and cycloheximide. Dermatophytes were identified based on culture characteristics and microscopic examination in lactophenol cotton blue preparations. ITS sequencing was additionally performed after PCR amplification for species identification. Identification based on phenotype through microscopy and culture methods confirmed infections with Trichophyton mentagrophytes (n = 11), T. rubrum (n = 1), and Microsporum gypseum (n = 1). The strains were confirmed by ITS sequencing without any discrepancy with phenotypic identification. Identification of common dermatophytes based on phenotypic characteristics may be used as a reliable method of diagnosis where sophisticated methods like ITS sequencing and PCR are unavailable.
Comparative Analysis between Various Types of Bracings for Steel Building in Seismic Zones
Authors: Barge Mr. Prafull J , Shelke Dr. Nagesh
Published: May 2022

Abstract: In this research paper we are preparing a relative report on a G+13 tall structure. In this structure we will contrast exposed casing and edges having various types of bracings at the corners. A three dimensional structure is taken, 13 stories is taken with story tallness of 3m. The bars and segments are intended to withstand dead and live load only. Seismic tremor loads are taken by bracings. The bracings are given just on the fringe sections. Here auxiliary displaying and examination is finished utilizing investigation programming Etabs which is a limited component based programming apparatus. A tall structure will be analyzed for seismic loading corresponding to various seismic zones. Effectiveness of bracings in reducing lateral displacements and their efficiencies during the earthquake is to be investigated. So the objective is to do comparative analysis between symmetrical G+13 storey RCC building with bracings and similar building without the bracings using commercially available software. Bracing play important role in keeping structure stable. Earthquake produces inertial forces in structure. X-bracing system has shown good results when it comes to reducing lateral displacements. As much as 26% decrease in lateral displacements in Z-Direction and up to 53% reduction in lateral displacements along X-direction is observed. But X-bracing arrangement shows most increase in value of Maximum bending moment (24.86%) and support reactions (30%).Base shear values are same in both directions. Since number of bracings along X-directions were more, bracings shown good performance in lateral displacements along X-axes. Diagonal bracing shows overall good performance considering Lateral displacements (45.58%), Support reactions (26.77%), and maximum bending moment (14.16%).Weight of the structure remains almost same. Not more than 2 percent change in weights of structure. Since base shear is dependent on weight, base shear also remain similar. Keywords: Comparative Analysis, Bracings, RC Building, Seismic Zones
Plan and Design of a Residential Building
Authors: Kalia Bholanath , Patra Kallalamaya , Mohapatra Durga Prasad , Kanar Rajesh , Parida Ananya Punyotyoa
Published: May 2022

Abstract: Generally, building is a structure that provides basic shelter for the humans to conduct general activities. In common prose, the purpose of buildings is to provide humans a comfortable working and living space and protected from the extremes of climate. However, a building usage is depends on the lifespan and the change of rate effected on their impact on efficiency of use. Hence, more attention needs to be emphasized on the performance of buildings as the changes are not static over time. This paper highlights the concept and requirements in evaluating building performance. Exploration on the concept of building performance is also addressed on the purposes of building performance and the link of performance towards the end-users and incorporating their feedback. It concludes that obtaining users’ feedback is vital in building performance and the requirements of assessment must outline the performance criteria and mandates in such building. Keywords: AutoCAD, STAAD. Pro, Sketch Up, Structural Analysis
Survey on Content Modeling Using Natural Language Processing
Authors: S A Bhavana , N V Harshitha Vibhu , N Neha , B S Namratha
Published: May 2022

Abstract: Content modelling is the procedure of formation is a compressed version of a text document which makes sure the definition or the meaning of the information isn’t changed from the meaning of original text. Automatic text summarization turns into a beneficial method to findsignificant information accurately in lengthy text in a little amount of time with negligible trouble. Automatic text summarization has taken part in an essential part in assisting users to acquire important key details by adding a large amount of data while also has an advantage of developed technology. Previously, some of the other papers are interconnected in solving the issue to stir up brief outline of the content by using machine learning (ML). Content modelling using natural language processing, it is a prominent requisition exert to bring out suitable details with narrowing huge amount of text. Prevailing observation show that it usescodeword rooted methods to classify text, who doesn’t give the file a real idea. We granted effective entity modelling method joins basic information about the data along with the outline inherited text. Besides, merging the features of the text abstract, shows competent outcome contrast to the synopsis given by controlled replicas of abstractive and extractive summarization.
Management of Agricultural Produces and Lifecycle
Authors: Shevade Sakshi
Published: May 2022

Abstract: The agricultural revolution was the key development in the rise of human civilization. It’s a varied field that produces a wide array of products which are important to us. As our global populations are growing faster the competition for natural resources will increase resulting in pressure on agricultural production of food, fiber, energy, various high-value by-products, etc. With upgraded concerns related to environmental impacts associated with the needs of a growing population, a life cycle assessment (LCA) framework will help to determine areas of greatest impact. The LCA methodology was mainly developed for industrial operations but we are using them in a wider range of fields which includes agriculture. Many factors increase the complexity of determining impacts associated with agricultural production The lack of consistent methodology of some impacts that are of major concern to agriculture (e.g., land and water usage) increases the difficulty or complications of this analysis. This paper attempts to review some of these issues and give perspective to the LCA expert in the field of agriculture. Keywords: Life cycle assessment, Ex-ante LCA, Technology assessment, New technology, Emerging technology
File Storage on Cloud Using Cryptography
Authors: Kulkarni Utkarsha , Mansuri Rosemeen , Adikane Riya
Published: May 2022

Abstract: Hybrid cryptography is implemented to provide the multilevel of encryption and decryption at both sender and receiver side which increase the security of the cloud storage. This security model gives the transparency to the cloud user. The hybrid encryption algorithm combines the advantages of fast encryption speed of AES algorithm, easy management of RSA algorithm key, and digital signature to ensure the secure transmission of confidential documents. Data/information is the most valuable asset for the modern electronic communication system. Securing data or information has become a challenge in this competitive world. There are many techniques for securing data/information such as cryptography, stenography etc. In this paper, hybrid cryptography has been applied using AES and RSA.AES and RSA algorithms are implemented to provide the multilevel of encryption and decryption at both sender and receiver side which increase the security of the cloud storage. This approach provides transparency to the cloud user as wellas cloud service provider in order to reduce the security threats. The proposed model is implemented in C and .NET. Data security is increased up to a maximum extent and it takes less time in uploading and downloading the text file as compare to existing system. [1] Index Terms: Hybrid, Symmetric, Asymmetric, Cloud, Cryptog-raphy.
Synthesis and Characterization of Various Pyrazolines From Chalcones
Authors: Dwivedi Pratibha , Pradhan Dr Alka
Published: May 2022

Abstract: Some novel series of pyrazoline derivatives were synthesized from Chalcones. Various Pyrazoline derivatives were prepared by reflux reaction of Chalcone with Phenyl Hydrazine Hydrate in ethanolic solution. The structures of the newly synthesized Pyrazoline derivatives have been characterized by spectral data. Keywords: Pyrazolines, chalcones, spectral analysis.
Design of Water Supply Scheme for Bisur Village
Authors: Tarapure Ms. Sakshi Pandurang , Tule Mr. Prathamesh Santosh , Surane Ms. Sneha Gokul , Chaudhari Mr. Nivrutti Santosh , Pitake Prof. Satish A.
Published: May 2022

Abstract: In order to meet the water demand of the continuously growing population of Bisur village and failure of current water supply system it is essential to provide the sufficient and uniform quantity of water through the design of various units of water treatment plant, so for design work we have collected information of proposed area like Main water source, Population, Demand of water, quality of water, distribution network and water tanks etc. from MJP (Maharashtra Jeevan Prabhakaran) and local authorities. After analysed above data we calculated (i) Future population (ii) Water characteristics (iii)Design Period (iv)Water demand [101 LPCD]. After conducting and analysis of survey data we proposed an efficient new alignment for water distribution system and we designed various units of water treatment plant like Aeration, Alum Tank, Tube settler, Rapid Gravity filter, rising main, Jack Well, Sump etc. This proposed design of the water supply scheme for proper supply of water is sufficient to meet the daily requirement of water in selected area. Keywords: RRWS, ESR, Water Demand, MJP, WTP, Population
Mental Health Analysis of Students During the Pandemic (2020-2021)
Authors: Hoondlani Muskan , Rathore Anshul
Published: May 2022

Abstract: The COVID-19 pandemic is a phenomenon that the entire world is still witnessing, and the imposition of subsequent measures and the lockdown has made our experience even more record worthy and mystic. People from different walks of life experienced and weaved out a pandemic story, good or bad depending on the facts and feeling of their personal gains and losses, giving us no valid right to deem the lockdown as a boon or a bane. But, one sure thing that had taken a toll was mental health. It has fabricated new stressors including fear and worry for oneself or loved ones, constraints on physical movement and social activities due to quarantine, and sudden and radical lifestyle changes. This pandemic has brought into focus the mental health crisis of various affected populations. This research reports and addresses the rising concerns about mental health problems among students of higher secondary and above levels of education. Keywords: COVID-19, Mental Health, Depression, Lockdown in India, Pandemic after effects, Impact on Students.
Fashion HUB an Online Shopping App
Authors: Agrawal Yash , Phad Atharva , Pawara Piyush
Published: May 2022

Abstract: Since the global spread of Covid 19 across the world It has been and epidemic which has caused various losses in various fields, and has had a significant impact on small scale businesses. Covid cases have risen sharply in the second wave leading to a heavy loss in local businesses. So in order to tackle this problem, we came up with the idea which will help such small scale businesses. As we have seen rapid increase in users of ecommerce websites such as Amazon, Flipkart, Myntra and many others ecommerce websites people are mostly switching towards online shopping But many people still doubts the quality of online products So we will be trying to connect the local shopkeepers to local customers as the trust issues increases in this case and smooth solution of the issue is possible as compared to that of other e commerce websites. This project concentrates not only on the sake of local vendors but as well as of customers. As to better manage the online selling process, we need to comw up with a better approach of online selling web development app which is “Fashion HUB”.
DailyWay - Smart Dairy Management Solution
Authors: Lahare Sarvesh Vishnu , Mahajan Akash Laxman , Gothi Unnati Pankaj , Patil Vaishnavi Chetan , Khokale Prof. Swati R.
Published: May 2022

Abstract: Smart dairy farming is becoming more possible because of data-driven approaches. Due to the world’s growing population, the demand for milk is steadily increasing. In industrialized nations, such as the United States, dairy consumption is higher than in developing ones like India. Better technical approaches for enhancing milk transportation and financial flexibility are necessary to fulfil this rising demand for milk products. The usage of IOT and AI technology is predicted to aid a farmer in overcoming many conventional agricultural problems, which will be made easier for them by employing this approach. We are tackling the various problems that a dairy farmer faces on a regular basis in this project. The innovation in the transportation and milk collection of smart dairy farming is highlighted in a quick introduction to integrated smart solutions for dairy farming. This project focuses on many elements of smart dairy farming, culminating in the proposal of a state-of-the-art framework that may aid farmers in easing milk transportation by utilizing various cutting-edge technology. With limited resources, these technological approaches can have a detrimental impact on milk production while also increasing those that have a favorable impact. Index Terms: India, Dairy Industry, Problems, Challenges, Women Empowerment, Digital India, Make In India.
A Review on Flood Mitigation Measures Amphibious Housing
Authors: Rao Meghanjali , Patil Akash , Gaikwad Mrunmai , Bagul Ashwin , Deosarkar Prof. Manoj U.
Published: May 2022

Abstract: Floods leads to loss of lives as well as infrastructure which affects the economy of the area for a longer duration, hence to cater the current scenario, an attempt to design a viable structure is the need of future. The aim of this paper is to study new concept of the amphibious house in lowland area as a flood mitigation measure. This report will explore and documents the various ways of protecting and creating a sustainable living environment for seaside and riverside residents. The solution will also include waterproof material and protection of vital utilities, design of buoyant foundation, vertical guidance pole attached to the foundation, which provides resistance from lateral force caused by wind and water. Amphibious Architecture adapts to dry and wet conditions without causing any damage during or after flood. The development of an amphibious community is a long time strategy that will minimize the potential risk of flooding along riverside. The proposal for this dissertation will provide sustainable structure for the people of India to create amphibious structures protected from floods. Keywords: Floods, Flood Mitigation measure, Amphibious House
E-Learning Recommendation System
Authors: Bajpai Prateek , Suryawanshi Nikhil , Orse Asmita , Srivastava Harsh , Patil Prof. Megha
Published: May 2022

Abstract: A Recommendation System is a system that is used to recommend any product based on the user’s rating. In the Recommendation System, we are searching for any product based on the reviews, if any product shows the best ratings, then we can select that product. Recommendation System has been used in a wide range of applications like Amazon, Netflix, Flipkart, Facebook, etc. E-Learning System is a system which helps to teach all the students in virtual way. Computers or Laptops and with Internet are used for working an E-Learning. E-Learning becomes a part of the Recommendation system. In this system, they are recommending those websites which is best to teach you, live doubt session like Coding Ninjas, Udemy, Edureka, Byjus, etc. Keywords: Recommendation System, E-Learning, Collaborative-Filtering, Content-Filtering, Hybrid-Filtering, Myers-Briggs Type Indicator(MBIT), Deep Learning.
Sentiment Analysis Using Natural Language Processing
Authors: Panchal Drashti , Mehta Mihika , Mishra Aryaman , Ghole Saish , Dandge Mrs. Smita
Published: May 2022

Abstract: In recent years, there has been an increasing interest in using natural language processing (NLP) to perform sentiment analysis. This is because NLP can help to automatically extract and identify the sentiment expressed in text data, which is often more accurate and reliable than using human annotation. There are a variety of NLP techniques that can be used for sentiment analysis, including opinion mining, text classification, and lexical analysis. Each of these methods has its own advantages and disadvantages, and the choice of technique will often depend on the type and quality of the text data that is available. In general, sentiment analysis using NLP is a very promising area of research with many potential applications. As more and more text data is generated, it will become increasingly important to be able to automatically extract the sentiment expressed in this data.
Impact of Yogic Relaxation Technique on Reaction Time of Gamers and Music listeners
Authors: Naik Lopamudra
Published: May 2022

Abstract: In recent times social craze of playing video games and listening to music online have been increasing and it’s impact on reaction time have been an area of interest for numerous researchers. The current study was conducted to examine the effect of yogic deep relaxation technique on the Visual and Auditory Reaction Times of Gamers and Non Gamers as well as music listeners and non listeners . The study was conducted on 115 participants, both males and females, aged between 20 to 50 years . The auditory reaction time (ART) and visual reaction time (VRT) of the participants was measured using Simple ART and Simple VRT tests conducted using Inquisit software and the statistical analysis was conducted using JASP software . A paired sample t-test was conducted to compare Auditory Reaction Time in 52 music listeners and 54 non-listeners before and after intervention and the results suggested that there was no significant improvement in the ART of people who listen to music more time per day, immediately after the practice of yogic relaxation technique. Whereas there was a significant improvement in the ART of people who spend less time in listening to music, immediately after the practice of deep relaxation technique also there was no significant improvement in the VRT of people who play video games more time per day, immediately after the intervention. Whereas there was a significant improvement in the VRT of people who spend less time in playing video games post intervention. Keywords: Yoga, Gamers, Music Listeners, Auditory Reaction Time, Visual Reaction Time , Deep Relaxation Technique
Personal Voice Assistant
Authors: Gupta Siddhi , Joshi Devanshi , Kolpate Krutika , Sharma Dhruv , Parmar Mrs. Nilam
Published: May 2022

Abstract: In today’s modern world, our daily life has been more linked with technology. Over time the advancement in technology is unmatched. The project that we have built is a personal voice assistant. It works on voice input and displays the output through voice or text. We have used python language for the voice assistant as it provides various libraries and packages to make our project. The assistant can perform some basic functions like giving weather updates, providing time and news, opening Google, YouTube, Gmail etc., setting reminder and performing arithmetic calculations. The main aim behind the voice assistant is to reduce the usage of input devices like keyboard, mouse, etc. This will not only lessen the hardware cost of the devices but also the space taken by them. Voice assistants are efficient and consume less time and therefore they are now inbuilt in many devices that people use nowadays. Keywords: Speech Recognition, Personal Assistant, Voice Input, A.I., Python
A Review on Leaf Disease Detection Using Different Approaches
Authors: P Ravi , M P Harsha , Jain Khush , Srikruthik Kota , Shreyas M V
Published: May 2022

Abstract: India is among the nation where a large portion of individuals rely upon agriculture. The recognizable proof of pomegranates organic product illness is a test that can be made simple by utilizing picture handling for distinguishing infections of natural product. Disease detection in leaves plays a very important role in the field of agriculture. In this literature review, we are comparing various methodologies used to detect the disease in leaves.
Optimization of Resource Allocations to Maximize Benefit Cost Ratio of the Irrigation System
Authors: Bagade Vaishnavi , Bankar Dnyaneshwar , Chaudhari Neha , Gajra Anand , Deshmukh Anandrao R.
Published: May 2022

Abstract: Water resources projects are very complex in nature, requires huge financial investment and requires to consider socioeconomic, political, environmental aspects apart from technical aspects. There are many techniques evolved over the years to solve complex water resource problems. Pimpalgaon Dhale medium irrigation project system is considered in this project is located in Barshi taluka of Solapur district. It is planned to irrigate an ICA of 2400 ha of 6 villages namely Pimpalgaon, Pangaon, Yawali, Sakat, Undegaon and Irle. Dam is completed in 2008 however distribution system is still incomplete. The system is optimized to calculate maximize net benefit from the crops subjected to various constraints (viz. water availability, land availability, male and female labour availability, capital availability etc,). Single objective linear programming model is formulated and constraints are written and solver program of MS excel is used to derive maximum net benefit from the irrigation system under consideration. Benefit Cost ratio is calculated and compared it with that calculated adopting conventional methodology. The data required for model formulation is adopted from various sources such as Government reports/ documents, reports available on websites, research papers etc. The constraints such as capital availability within irrigation system during kharif and rabi season, female labour hours availability during kharif and rabi season limits the area under crops as well as net benefits however there is substantial increase in area under irrigation and net benefits from the irrigation system. The Solver program of MS Excel is very useful and convenient to use for solving linear programming. Keywords: Water Resource Projects, Maximize net benefit, Benefit Cost Ratio, Linear programming.,
Simulation and Performance Analysis of RoF System Using Fiber Impairments
Authors: Tyagi Rishita
Published: May 2022

Abstract: A Radio over Fiber (RoF) system has a unique feature of containing both a fiber optic link and a free space radio path. Fiber based wireless access facilitates high-capacity multimedia services in a real-time basis. In this research paper, the RoF system is simulated in the presence of fiber impairments, namely, Polarization Mode Dispersion (PMD) and Cross Phase Modulation (XPM) and Four-Wave Mixing (FWM) with the help of OptiSystem simulation tool. The variations in Quality factor (Q factor) and Bit Error Rate (BER) with respect to wavelength of 1552 nm and bit rates of 10 Gb/s of input signal is analyzed in the presence of the linear and non-linear impairments of the fiber. Keywords: Radio over Fiber (RoF), Polarization Mode Dispersion (PMD), Cross Phase Modulation (XPM), Four-Wave Mixing (FWM), OptiSystem, Bit Error Rate (BER), Q factor.
A Need of Consumer Protection Act
Authors: Anand Uddantika
Published: May 2022

Abstract: No person should be disregarded with the right to consumer protection .consumer protection act bought many changes in socio-economic aspects in the life of people living in India in modern times.it also provides speedy remedy to the consumers . This act has been amended to enhance the power of providing remedy to the consumers.
Speed Estimation of an Asynchronous Motor with Feed Forward Neural Network
Authors: Ahmed Akeb , Kaur Kiranjit
Published: May 2022

Abstract: AC asynchronous motors are the most frequent motors used in industrial motion control systems as well as in mainpowered domestic appliances. AC asynchronous motors provide several advantages, including a simple and durable construction, low cost, low maintenance, and direct connection to an AC power source. On the market, there are many different types of AC asynchronous motors. Diverse motors are suitable for various applications. Like other motors, an AC asynchronous motor contains a stator that is fixed on the outside and a rotor that spins within, separated by a precisely designed air gap. Almost all electric motors use magnetic field rotation to spin their rotors. Asynchronous motors are the most commonly utilized electromechanical machinery in industrial applications. There have been several research on their control, as well as a variety of approaches for achieving high-performance speed drivers. The properties of asynchronous motors alter with time and under different operating situations. Even though much research has gone into developing artificial neural network techniques to estimate the speed of an asynchronous motor and some of the parameters such as flux and torque, there hasn't been much work done on asynchronous motor speed estimation using artificial neural networks. The main purpose of this paper is to build a speed estimator for an asynchronous motor using a feed-forward artificial neural network. A mathematical model for the asynchronous motor is developed and implemented in Matlab. A speed estimator is then developed using a feed-forward neural network and coupled to the asynchronous motor to estimate its speed. After that, simulations are done to see how well the proposed speed estimator performed. Keywords: Space Vector Modulation PWM (SVPWM), Artificial Neural Networks (ANN), magnet Permanent magnet Synchronous Motor (PMSM)
Larvicidal Activity of Leucas Aspera Against the Larvae of Anopheles, Aedes Aegypti and Culex Quinquefasciatus
Authors: Eswaralakshmi Dr. R. , M Shakila Banu.
Published: May 2022

Abstract: Insect-transmitted diseases cause high morbidity however they additionally embody deadly diseases that cause high mortality rates among infected individuals.Many two-winged insects species such as Aedes aegypti, Anopheles stephensi and Culex quinquefasciatus act as vectors. Ae. aegypti, acts as a vector for yellow fever, dengue and chikungunya. Aedes aegypti is cosmopolitan within the tropical and semitropical zones. Anopheles stephensi is the primary vector of malaria in India and other west Asian countries. C. quinquefasciatus is a vector of lymphatic filariasis which is one of the widely distributed tropical diseases with around 120 million people infected worldwide. The mosquitocidal activity was analyzed by aqueous, ethanol and methanol extract of Leucas aspera plant extract against the malaria, yellow fever and dengue causing Ae.aegypti, An.stephensi. Leucas aspera is well known to possess various pharmacological activities like antifungal, antimicrobial and cytotoxic activities. Leaves of this plant are applied to treat snake bites. The result was supported by probit analyses was carried out for twenty fourth and forty eighth hour methyl alcohol extracts of L. aspera. The data showed profound larvicidal activity with methyl alcohol extract compared with the other extracts. Keywords: Vector control, L. aspera, Ae.a.egypti, An. stephensi, Culex quinquefasciatus.
AI Based Smart High Way with Green Energy Resources Using IoT Devices
Authors: A Gautami , M Muthumariappan , C Thangavignesh , R Sunilkumar , V Sudharsanan
Published: May 2022

Abstract: The Worldwide concern to mitigate the soaring energy crisis introduces us to the small-scale renewable energy generation as a preferred enabling source for highway lighting. Production of renewable energy from highways using solar tracking panel can be utilized in various applications. In this project we use solar panels to generate renewable energy which can be stored in lithium batteries. The IOT monitoring system in interfaced with Adafruit software which is used to check the pollution and stores the daily utilization in cloud. The SOS alarm is used along with the device to indicate the accident occurred in remote areas to the nearby toll gate. SOS message will send IFTTT to the domain mail ID toll gate. This prototype uses Node MCU for controlling application and database monitoring. In future the project can be extended by implementing other renewable resources like wind energy. Keywords: Sos alarm, Solar tracking panel, Adafruit, Mcu , Renewable enegry.
Health Care Chatbot Using NLP and Flask
Authors: Thakre Kshitij , Rothe Dr. P. R. , Kukade Sakshi , Shinde Pranali , Madame Komal
Published: May 2022

Abstract: Health care is very important to start a good life. However, if you have a health problem, it is very difficult to talk to your doctor. Chatbots can be used to communicate with text or voice interfaces and receive responses via artificial intelligence. Chatbots are programs designed to automatically interact with incoming messages. Chatbots can be programmed to respond the same each time and respond differently to messages containing specific keywords. In addition, you can use machine learning to adapt your response to your situation. More and more hospitals, nursing homes, and even private centers are now using online human service chatbots on their websites. These bots connect with potential patients accessing the site, find specialists, make appointments, and ensure appropriate treatment. In any case, the use of artificial intelligence in industries where people's lives can be a problem still raises personal concerns. The question arises whether the above tasks should be left to human staff. This healthcare chatbot system helps hospitals provide 24/7 online healthcare support. It answers both deep and general questions. It also helps generate leads and automatically delivers lead information to sales. Asking in turn helps the patient by guiding them on exactly what they are looking for.
Disease Prediction Using Machine Learning and Deep Learning
Authors: Saxena Ms. Kavita , Sharma Rishabh , Kumar Rishav , Kumar Roshan
Published: May 2022

Abstract: Health being the state of complete physical and mental wellbeing is an imperative part of humankind .Healthcare sector been a capital incentive sector having complicated entry barrier for investors like acquiring land for making hospital, stamp duties on it, human resource crunch which further act as roadblock for the government in providing universal good healthcare services to its citizenry . In this regard artificial intelligence is leading to disruption in the healthcare sector which is helping poor in safeguarding them from been exploited by extravagant out of pocket expenditure on unnecessary medical checkups and treatments and providing them on time health services. Moreover the compartmentalization of healthcare services between centre and state as it been the state subject in 7 schedule of Indian Constitution further make the task more discommoded. Artificial Intelligence finds a lot of applications in the healthcare sector which includes cancer detection, diabetes detection, heart disease detection, Malaria detection, Kidney disease detection and a lot more. So, leveraging on the opportunities thrown by the COVID and keeping in view the relaxations in Telehealth regularisation in the law of land by the government with taking silence bias in consideration we are developing a ecosystem for non communicable disease which can be use by a person with restricted medical knowledge as well as in ease of their home thereby making early disease detection and diagnosis handy. Therefore, disease must automatically be detected with higher precision if we provide the necessary inputs to our web solution so as to benefit user that are reluctant to visit hospital on the onset of minor symptoms .It will also helps in easing patient load on the doctor, healthcare system as our solution can give a basic idea of severity of the disease to the patient treating doctor by means of image processing technology at an early stage. It consists of image capturing, preprocessing images, image segmentation, extraction of features and disease classification. The digital image processing method is one of those strong techniques used far earlier than human eyes could see to identify the tough symptoms. There is a great demand for such a solutions in the world of today which would enable to detect disease earlier. We have proposed in this study a system where the web application can detect various type of disease namely cancer, diabetes, heart, liver, kidney diseases, malaria, pneumonia this may be done if the associated disease parameters are known properly. Keywords: Disease Detection, Artificial Intelligence, Healthcare, Machine Learning, Convolutional Neural Networks.
Experimental Study of Mix Design of Concrete by Mixing Sand with Plastic Waste
Authors: Ranjan Vikash , Soni Dr. Kapil
Published: May 2022

Abstract: Cement concrete are designed to resist the disastrous surrounding effects such as high temperature variations, high humid environments, coastal areas, industrial areas and other pollutant types. Engineers are continuously studying its properties and performance by blending several waste and modern materials in cement or other aggregates. The major advantage of these materials is the replacement of cement or other ingredients partially in concrete and presenting the comparable cementations property. The use of waste material can consume these materials and also saves the principal ingredients of concrete. This can also improve the properties of concrete in fresh and hydrated states or may presents the properties comparable to the basic properties of concrete. In the current study a set of experiments had been performed to Compare the use of one type of mixes formed by replacing sand with Plastic waste. Sand was replaced in different proportions such as 5 %, 10 %, 15% And 20 % by these materials. The properties of concrete are studied for 7days, 14days, 21days and 28days.
MediaRec: A Hybrid Media Recommender System
Authors: Bhuskute Tanmay , Jeve Amit , Shah Nihal , Shah Tejas , Patil B. A.
Published: May 2022

Abstract: This paper discusses about a hybrid recommendation platform for Movies, Books and Songs in one roof. A recommender system is a subgroup of information filtering systems that helps in predicting the “rating” or “Preference” that a user would give to any item. It also helps users to get media of their choice based on their experiences of self and other users in a productive and efficacious manner without wasting time in useless browsing. Previous approaches in recommender system (RS) include Content based filtering and Collaborative filtering. These approaches have a particular limitation as like the necessity of the user history as they visit. So as to overcome such dependencies, the Hybrid Recommendation System is introduced. It uses both Collaborative based filtering system and Content based filtering system for recommending media. In this way, the system performance will be greatly improved through the integration of these two. Keywords: Media Recommender System, Movies, Books, Songs, Recommender, TFIDF, Cosine Similarity, Pearson Correlation, KNN, K-Means Clustering.
Forecasting of Cryptocurrency Values using Machine Learning
Authors: Khobragade Ashmit K. , Keskar Omkar C. , Deshmukh Prathamesh G. , Chopade Dr. Rupali M.
Published: May 2022

Abstract: Bitcoin is a sort of cryptocurrency that has become a popular stock market investment. Many factors have an impact on the stock market. And bitcoin is a sort of cryptocurrency that has been slowly rising in recent years, with occasional severe declines that have had no discernible effect on the stock market. Because of the volatility, a prediction tool for bitcoin on the stock market is required. LSTM (Long Short-Term Memory) is a type of RNN module that was subsequently converted and used by numerous researchers, and it, like RNN, consists of recurrently consistent modules. The strategy and instruments we used to predict Bitcoin on the stock market yahoo finance can also be used to predict the price of cryptocurrencies. In the final section, we draw conclusions and discuss future work. Keywords: 1. LSTM., 2. Cryptocurrency., 3. Bitcoin. , 4. Prediction., 5. Machine Learning.
Real-Time Face Recognition and Detection Using Python
Authors: Zamindar Tayyaba , Gangawane Shradhatai , Kalane Shital , Kalane Yogita
Published: May 2022

Abstract: While humans can recognize faces without much effort, facial recognition is a challenging pattern recognition problem in computing. Facial recognition systems attempt to identify a human face, which is three-dimensional and changes in appearance with lighting and facial expression, based on its two-dimensional image. To accomplish this computational task, facial recognition systems perform four steps. First face detection is used to segment the face from the image background. In the second step the segmented face image is aligned to account for face pose, image size and photographic properties, such as illumination and grayscale. The purpose of the alignment process is to enable the accurate localization of facial features in the third step, the facial nature extraction. Features such as eyes, nose and mouth are pinpointed and measured in the image to represent the face. The so established feature vector of the face is then, in the fourth step, matched against a database of faces. Keywords: face, detection, recognition, system, OpenCV
Case Study of Solid Waste Management in Indian Urban Areas Examination of Law Practice
Authors: Kumar Mr. Shubham , Sharma Vashinava , Gupta Nilesh Kumar
Published: May 2022

Abstract: The case study examine different Indian solid waste management laws and practise in several urban centres of . The main focus of this study is that most of the urban areas in India appear to be heavily affected by poor solid waste , due to lack of proper government effort to tackle the solid waste problem. The most of urban centres of India like Karnataka and Gujarat west Bengal and many more. have abysmal facility of solid waste management facility. As we all know Karnataka is our IT capital and Gujarat is also called the diamond capital of India despite of this achievement, solid waste management is a big issue. Now we have to study exactly how the study is mounted on various lenses. We need to revaluate about the laws, if they can be same as the need of urban communities and also other organization who are involved in waste management or special regulations are needed to reduce the solid waste management problem. For municipal solid waste management, what will be its legal framework? Finally, it is the responsibility of community members and stakeholder to manage solid waste properly several recommendation are drawn from conclusion ,some are the establishment of an independent body to address solid waste management, formalization of this sector is important. Keywords: Waste Management, legal framework, formalization