bluuebunny/crossref_metadata_2025 huggingface dataset:
Orthopedic Surgery Residency Program Website Content and Accessibility During the COVID-19 Pandemic: Observational Study
Authors: El Shatanofy Muhammad , Brown Lauryn , Berger Peter , Gu Alex , Sharma Abhinav K , Campbell Joshua , Tabaie Sean
Published: August 2021

Background

The exceptional competitiveness of the orthopedic surgery specialty, combined with the unclear impact of the COVID-19 pandemic on residency recruitment, has presented significant challenges to applicants and residency program directors. With limited in-person opportunities in the 2020-2021 application cycle, applicants have been pressed to gauge chances and best fit by browsing program websites.

Objective

The aim of the study was to assess the accessibility and content of accredited orthopedic surgery residency program websites during the COVID-19 pandemic.

Methods

Using the online database of the Electronic Residency Application Service (ERAS), we compiled a list of accredited orthopedic surgery residency programs in the United States. Program websites were evaluated across four domains: program overview, education, research opportunities, and application details. Each website was assessed twice in July 2020, during a period of adjustment to the COVID-19 pandemic, and twice in November 2020, following the October ERAS application deadline.

Results

A total of 189 accredited orthopedic surgery residency programs were identified through ERAS. Of these programs, 3 (1.6%) did not have functional website links on ERAS. Data analysis of content in each domain revealed that most websites included program details, a description of the didactic curriculum, and sample rotation schedules. Between the two evaluation periods in July and November 2020, the percentage of program websites containing informative videos and virtual tours rose from 12.2% (23/189) to 48.1% (91/189; P<.001) and from 0.5% (1/189) to 13.2% (25/189; P<.001), respectively. However, the number of programs that included information about a virtual subinternship or virtual interview on their websites did not change. Over the 4-month period, larger residency programs with 5 or more residents were significantly more likely to add a program video (P<.001) or virtual tour (P<.001) to their websites.

Conclusions

Most residency program websites offered program details and an overview of educational and research opportunities; however, few addressed the virtual transition of interviews and subinternships during the COVID-19 pandemic.
The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Postacute Sequelae of SARS CoV-2 (Preprint)
Authors: Corman Benjamin Harris Peterson , Rajupet Sritha , Ye Fan , Schoenfeld Elinor Randi
Published: August 2021

UNSTRUCTURED

Amid the COVID-19 pandemic, it has been reported that greater than 35% of patients with confirmed or suspected COVID-19 develop postacute sequelae of SARS CoV-2 (PASC). PASC is still a disease for which preliminary medical data are being collected—mostly measurements collected during hospital or clinical visits—and pathophysiological understanding is yet in its infancy. The disease is notable for its prevalence and its variable symptom presentation, and as such, management plans could be more holistically made if health care providers had access to unobtrusive home-based wearable and contactless continuous physiologic and physical sensor data. Such between-hospital or between-clinic data can quantitatively elucidate a majority of the temporal evolution of PASC symptoms. Although not universally of comparable accuracy to gold standard medical devices, home-deployed sensors offer great insights into the development and progression of PASC. Suitable sensors include those providing vital signs and activity measurements that correlate directly or by proxy to documented PASC symptoms. Such continuous, home-based data can give care providers contextualized information from which symptom exacerbation or relieving factors may be classified. Such data can also improve the collective academic understanding of PASC by providing temporally and activity-associated symptom cataloging. In this viewpoint, we make a case for the utilization of home-based continuous sensing that can serve as a foundation from which medical professionals and engineers may develop and pursue long-term mitigation strategies for PASC.
Schoolchildren’ Depression and Anxiety Prediction Using Machine Learning Algorithms (Preprint)
Authors: Qasrawi Radwan , Vicuna Polo Stephanny , Abu Al-Halawah Diala , Hallaq Sameh , Abdeen Ziad
Published: August 2021

BACKGROUND

: Depression and anxiety symptoms in early childhood have a major effect on children's mental health growth and cognitive development. Studying the effect of mental health problems on cognitive development has gained researchers' attention for the last two decades

OBJECTIVE

In this paper, we seek to use machine learning techniques to predict the risk factors associated with school children's depression and anxiety

METHODS

The study data consisted of 5685 students in grades 5-9, aged 10-17 years, studying at public and refugee schools in the West Bank. The data were collected using the health behaviors school children questionnaire in the 2012-2013 academic year and analyzed using machine learning to predict the risk factors associated with student mental health symptoms. Five machine learning techniques (Random Forest, Neural Network, Decision Tree, Support Vector Machine, and Naïve Bayes) were used for the prediction.

RESULTS

The results indicated that the Random Forest model had the highest accuracy levels (72.6%, 68.5%) for depression and anxiety respectively. Thus, the Random Forest had the best performance in classifying and predicting the student's depression and anxiety. The results showed that school violence and bullying, home violence, academic performance, and family income were the most important factors affecting depression and anxiety scales

CONCLUSIONS

Overall, machine learning proved to be an efficient tool for identifying and predicting the associated factors that influence student depression and anxiety. The deployment of machine learning within the school information systems might facilitate the development of health prevention and intervention programs that will enhance students’ mental health and cognitive development.
Thirty Years’ History of International Scientific Conferences in the National Library of Ukraine named after V. I. Vernadsky
Authors:   V. I. Vernadskyi National Library of Ukraine, Ivanova Maiia
Published: August 2021

Since the great historical event - the proclamation of the Act of Independence of Ukraine, the country has been expanding international cooperation in librarianship. The main areas of international cooperation, which is a priority in research institutions in the library business, are: conducting joint research; organization of international conferences, symposia, congresses and other events. Scientific conferences are one of the forms of dissemination of new information. In the modern information space, scientific institutions play an essential role in developing science, education and culture. Therefore, when evaluating a scientific institution, the number of international scientific and practical seminars, conferences, other events organized by the scientific institution, and materials (including collections of abstracts) of conferences are considered. Among the research institutions of Ukraine, which study the problems of library science, bibliography, bibliology, source studies, document science, archival science, biography, codicology and discography, history of book culture, computer science, social communications, the leading position is held by the most extensive library of Ukraine – the National Library of Ukraine, named after V. I. Vernadsky. Furthermore, the article analyzes the specifics of the organization of scientific conferences in a scientific institution, studies the directions and thematic content of such events, forms of conduct, their frequency during 1991-2021.
Detection of Diseases in Plants and Recommending Products to cure it
Authors: Tiwari Ananya Shatrughan
Published: August 2021

The plants, agrarian division and the nation's economy play a crucial portion in climate alter. The support of plants is in this manner profoundly imperative. Like individuals, various illnesses of microbes, organism and infections have an affect on plants. Convenient distinguishing proof and remedy of these illnesses is significant to dodge misfortune of whole plants. A significant learning show named the plant infection finder was given in this ponder. The demonstrate can distinguish numerous plant conditions utilizing the picture of its clears out. Demonstrate location of plant malady is made with the nueral framework. The primary step is to extend the test measure of the information collection. Afterward meeting Neural organize (CNN) with numerous layers of concentration and pooling is utilized. The information set for Plant Village is used for show preparation. After the demonstration has been prepared, the comes about are tried accurately. This show has been utilized by us for a few examinations. For testing purposes, 15 percent of information from PlantVillage information includes photographs of sound or debilitated plants. 98.3% of the test accuracy was achieved within the proposed show. This work centers on the significant learning show for infection location in plant clears out. Be that as it may, within the future demonstrate rambles or any other framework may be consolidated to recognize ailments of the plant and inform them to people so that they can be cured accordingly.
Implementation of Hybrid Precoding for MIMO System Using Kalman Approach
Authors: Divya Shamlet
Published: August 2021

Multiple antenna system in communication is a main role to serve a multiple users at a time simultaneously in future wireless communication system. The MIMO specifically refers to practical method for sending and receiving the data more than one signal at a time over the same radio frequency channel by exploring the multipath propagation. MIMO is fundamentally a special form smart antenna system modified to enhance the performance of a data signal, such as Beamforming / Precoding and diversity. In millimeter wave 60 GHz band requires a large no of antenna arrays at two sides of transmitter and receiver terminals to beam forming gains, in a way to counteract the high path loss. There are many Precoding methods existing, like Zero Forcing (ZF) method, Branch and Bound (B&B) method and Hybrid method. In the form of fully digital method it’s not possible to do with more no of antenna arrays due to hardware complexity at such ranges, while coming to purely analog also suffers the bad performance circumstances. Hence we propose a Hybrid Precoding method in Digital/Analog in the multi user scenario based on the Kalman approach. To mainly reduce the errors between transmitted data to estimated data. Simulation results validates that immense improvement and better performance is achieved compared to existing precoding methods in terms of BER and spectral efficiency.
Product Recommendation System: A Systematic Literature Review
Authors: Kinkar Ketki
Published: August 2021

In today's world, we find a wide variety of search options and we may have difficulty selecting what we really need. The recommendation System plays an important part in dealing with these problems. A recommender system is a framework that is a filtering system that filters the data with various algorithms and recommends the user with the most relevant data. Recommendation systems are productive customization mechanisms, often up-to-date and recommendations based on current consumer preferences. These systems have shown to be extremely helpful in different areas of e-commerce, education, movies, music, books, films, scientific papers, and various products. This paper reviews many approaches of recommendation techniques with their upsides and downsides and diverse performance measures. We have reviewed various articles, analyzed their technique and approach, major features of the algorithm utilized, and potential areas for improvement in that research work.
Review on Digital Temple
Authors: Potgantwar Prof. (Dr) Amol
Published: August 2021

The charity online site is defined as a non-profit organization that focuses primarily on doing all non-profit activities for community reform. The charity online site also refers to an initiative that provides assistance to people in need through work in the relief of the poor by raising the necessary funds and product from the public to needy groups. The service of the poor We in the era of technology The establishment of this site increases the enthusiasm and encourages people to help the poor and look at this category and help them and their satisfaction and their choice of clothes and shoes that fit their sizes and admiration. The expected results online charity site the service of the poor and increases the enthusiasm of people to help the poor. The spread of the Internet in the world changed the regular donation, where the donation through the Web is no less important than the old methods Today Internet users are able to donate to the charity online more easily.
Production of Cost-Effective Biodegradable Straw
Authors: Petchimuthu Priya
Published: August 2021

Every year 15,342 tons of plastic waste have been produced. Among these plastic wastes, the big junk of the waste is plastic straws which are used for just a few minutes and thrown away. To prevent the plastic pollution, we need to create proper awareness. In order to avoid the pollution by plastic straws, we planned to produce a Biodegradable straw which is chemical free and an eco-friendly product. The plastic straws are harmful to human health. Our Present study focuses to produce a Biodegradable straw using eco-friendly ingredients like banana peel, cinnamon, corn starch, honey, thyme leaves and vinegar. To replace these plastic straws the bioplastic film was naturally prepared from banana peel with some chemical free ingredients. According to the study of bioplastic, banana peel has the ability to produce bioplastic film which is best alternative of plastic use. Also, vinegar can degrade the starch. And study about cinnamon shows that cinnamon can prolong the shelf life of the bioplastic film and it banishes the smell of vinegar. The flexibility of the bioplastic film can be attained by the thyme leaves in addition it also has an antifungal property. Honey acts as a plasticizer to make the material softer and more flexible and also it has antimicrobial activity. An application of heat brings polymerization from these mixtures. Thus, the bio plastic replaces the petroleum-based plastic with something made from food waste or agricultural by-products.
Design and Analysis of Automatic Fire Extinguisher for Vehicles
Authors: S N Karthik
Published: August 2021

These days there is a rapid increase in automobile utilization in urban and rural areas, along with this there is an increase in the number of accidents related to automobiles. Apart from user/ driver related accidents a large number of other reasons cause fires in automobiles. Three components are needed to make a fire, Oxygen, Fuel and a source of ignition. Car fires are usually caused due to issues associated with fuel, electrical systems, the exhaust system and petroleum based fluids. By far though, the biggest causes of vehicle fires are fuel (gasoline) related. The source of fire can be external or within the vehicle itself. Vehicle fires used to be quite common. Back in 1980’s there were 456,000 car fires. In 1978 a big issue occurred with Pintos catching on fire. This led the manufacturers to look at what design changes in vehicles will limit the three elements of the fire triangle from coming together. Our project aims to design a device which automatically detect fire in vehicles and suppress them to prevent further damage to the vehicle. The device which contains sensors and an extinguisher and a microprocessor can be placed under the hood of vehicles near the engine compartment and works when the engine (or any other part) catches fire. This application minimizes the possibility of death or injury and loss of property due to fire accidents in vehicles.
Data Mining for the Internet of Things: Literature Review and Challenges
Authors: Zuber Dr. Mohd
Published: August 2021

The huge data generate by the Internet of Things (IOT) are measured of high business worth, and data mining algorithms can be applied to IOT to take out hidden information from data. In this paper, we give a methodical way to review data mining in knowledge, technique and application view, together with classification, clustering, association analysis and time series analysis, outlier analysis. And the latest application luggage is also surveyed. As more and more devices connected to IOT, huge volume of data should be analyzed, the latest algorithms should be customized to apply to big data. We reviewed these algorithms and discussed challenges and open research issues. At last a suggested big data mining system is proposed.
Symptomatic Assistance
Authors: Shrivastava Hitesh
Published: August 2021

The project aims to help the users get the idea if he/she may be suffering from heart disease or not. Web development is the work involved in developing a Website for the web (world wide web) or an intranet (a private network).Web development can range from Developing an easy single static page of plain text to complex web applications, electronic business and social networking services. The main goal of this website (SYMPTOMATIC ASSISTANCE) is to predict the possibility of having Heart disease. For this , the user needs to provide some information regarding their health. Such as blood pressure, glucose, cigarettes per day etc. According to which the website will respond. This will make people aware and help them improve their health. Machine learning is a method of data analysis that automates analytical model building. It is a branch of AI supported the thought that systems can learn from data, identify patterns and make decisions with minimal human intervention. For this we chose the best dataset from kaggle and used it in the best possible way to predict the output with high accuracy. For being able to predict the correct output, we applied a few machine learning models and chose the best fitted algorithm according to accuracy. For connecting machine Learning models with the webpages we used Flask. Flask is a micro framework written in Python. It is classified as a microframework because it doesn't require particular tools or libraries. It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions. However, Flask supports extensions which will add application features as if they were implemented in Flask itself. Extensions exist for object-relational mappers, form validation, upload handling, various open authentication technologies and several common framework related tools.At the end will deploy our project using Heroku. Heroku is a cloud Platform as a service (PaaS) supporting several programming languages. One of the first cloud platforms, This project will make it easy for the user to know their health closely.
Automatic Tariff Controller
Authors: Kulkarni H. R.
Published: August 2021

The growth in the demand for electricity in Libya during the last decade witnessed a dramatic growth in the national's annual residential development has played a major role in boosting the demand for electric power. The domestic sector in Libya already accounts for approximately 39 percent of electricity demand. To meet the projected demand for electrical power to cope with, the development plans, increases in the population and the rising in the living standards, government will have to accomplish new power generating units. Comparing with the high budget of constructing new generating power units, load management system it would be attractive resource that should be seriously considered as an important part of national energy program, where demand growth rate exceeds the supply since it is playing an increasing role around the world as a valuable and cost effective energy resource. Hence, was light projecting on power load management program, for its benefit in reducing the energy demand at peak timeown
Proposal for Economic Growth of Kolhewadi through Agriculture Development
Authors: Kolhe Mr. Sudhir
Published: August 2021

India is a developing nation in sectors such as Agriculture, Transportation, Education, and Infrastructure. Agriculture is the one of high GDP contributor in Indian economy. In last few decades by green revolution agriculture sector is developed, but it still has lot of bearing in agricultural growth. The aim of research is to identify various problem in agriculture field in study area Kolhewadi, Tal- Sangamner, Maharashtra. And by studying various factors to prepare proposal for economic growth of kolhewadi through agriculture development.
Affordable Housing Using Smart Solutions
Authors: Sangle Rohan S.
Published: August 2021

The grоwth оf Indiаn соnstruсtiоn is gоing tо ассelerаte tо fulfill (meet) the need оf future generаtiоn, time effeсtive аnd асhieving аdvаnсe teсhnique. The рарer bаsed оn use оf different smаrt sоlutiоns fоr рrоviding better living соnditiоns tо рeорle in аffоrdаble рriсe. Use оf Sоlаr Energy grid system tо reduсe the energy bills аs well аs use оf рreсаst teсhnоlоgy tо reduсe the соst оf соnstruсtiоn. Рreсаst соnstruсtiоn teсhnique enhаnсed the quаlity оf wоrk, sаve time, reduсed the соst оf соnstruсtiоn required fоr mаintenаnсe оf wоrk. The Sоlаr Grid Systems will helр рeорle tо generаte energy аnd suррly it tо mаin grid, reduсing their bill аs well аs in роssible future nullifying them. This рарer reviews аnd summаrizes the benefits аnd аdvаntаges оf smаrt оr eсо-friendly sоlutiоns in mаking аffоrdаble hоusings mоre eсоnоmiс.
Footstep Power Generation Using Piezoelectric Material
Authors: Thapliyal Gaurav
Published: August 2021

In the day-to-day life, the utilization of power turns of being necessary for each work. This paper focuses on designing a setup that leads to the generation of electrical energy which is going to waste when humans are walking. There are different methods used to produce energy like conventional and non-conventional methods. In this project, we are doing generation of power by walking or running. Power can be generated by walking on the stairs. The generated power will be stored and then we can use it for domestic purposes. The paper proposes a novel technique for the creation of power utilizing piezoelectric sensors kept along the footpaths which can be ready to charge the battery and ready to supply the force at whatever time of our prerequisite. The non-conventional energy system is very essential currently to our nation. Nonconventional energy using footstep is converting mechanical energy into Electrical Energy. Due to this a lot of energy resources have been exhausted and wasted. This system can be installed at homes, schools, colleges, where people move around the clock. The footstep power generation technique through piezoelectric sensors produces electrical force by changing piezoelectric force generation framework is that is sheltered and secure to utilize it does not make any issue or distress for the general population strolling through the footpath, and it is a free strategy. This project will be cost-effective and easy to be installed in populated areas like railway stations, bus stands, and shopping malls. Our project is cost-effective and easy to implement.
Optimization of Gas Exposure Time for Ethylene Oxide (ETO) Sterilization
Authors: Kandisa Ravi Vital
Published: August 2021

Advancement in technology made the medical device manufacturing industry prominent among all the industrial sectors. Most health care products and medical devices require sterilization. Due to the heat sensitivity of the medical devices, Ethylene Oxide (ETO) sterilization is recommended but ETO is an expensive and long process. Now, there is a need to find an efficient, minimal cost and a lesser amount of time for sterilization process. In this present study, we developed and validated a minimum time, low cost, and efficient ETO sterilization process that can be used at an Industrial scale.
Stock Prediction using Long Short-Term Memory, Support Vector Regression and Linear Regression Algorithms
Authors: Kumar Mr. V. Manoj
Published: August 2021

Prediction is most important for stock market not only for traders but also for computer engineers who analyses stock data. We can perform this prediction by two ways one is using historical stock data and other by analyzing by information gathered from social media. It is based on model/pattern used to predict stock dataset, there are so many models are available for predicting stocks, simply model is algorithm that’s from machine learning and deep learning. In the data set the two main parameters open and close value are used for stock prediction mostly but we can also predict by its volume too. So that data is preprocessed before it is used for prediction. In this paper we used various algorithm like linear regression, support vector regression and long short-term memory for better accuracy and to compare how it different from other algorithm and for predicting future stock.
Hadoop Based Generic Template for Performing Sentiment Analysis Using Apache PIG
Authors: Vishal Sai Gadige
Published: August 2021

Every day over 2.5 quintillion data is generated using various channels like online surveys, transactional data tracking, social media monitoring, etc. Out of these majority of the data is generated using social media platforms. This raw data contains information that can be used for industrial, economic, social and business purposes. To facilitate this, sentiment analysis has become a prospect for various tech-based industry giants to review and analyze their products. Hadoop has been established as one of the best tools for storing, processing, and streaming data in the market. In this paper, we present a generic approach to performing sentiment analysis using Apache PIG which classifies the given data taken from a dataset to either positive or negative to get the people’s sentiment over an object or an issue.
Strength & Stability Analysis of Straight Shafted Pile Foundation in Cohesive Soil Condition using Finite Element Analysis
Authors: K S Yogesh
Published: August 2021

Pile foundation is one of the effective forms of deep foundation. This is to be used where the load has to be transferred to deeper layers of soil and it can with stand uplift forces in foundations in expansive soil and also in case of floating foundations. The finite element method is one of the most versatile and comprehensive numerical technique which can be used for analysis of structures or solids of complex shapes and complicated boundary conditions. There are different variables which influence the load carrying capacity of pile foundation. But only some of those have significant influence on load carrying capacity. Here those variables are considered and the variation of load carrying capacity with the change in value of those variables is observed. Those variables are pile length and pile diameter, analysis of pile foundation was carried out to determine the ultimate load carrying capacity of pile for different lengths and diameters in cohesive soil, the corresponding settlement was also determined.
Review on Semantic Segmentation of Satellite Images Using Deep Learning
Authors: Kushwah Chandra Pal
Published: August 2021

Image segmentation for applications like scene understanding, medical image analysis, robotic vision, video tracking, improving reality, and image compression is a key subject of image processing and image evaluation. Semantic segmentation is an integral aspect of image comprehension and is essential for image processing tasks. Semantic segmentation is a complex process in computer vision applications. Many techniques have been developed, from self-sufficient cars, human interaction, robotics, medical science, agriculture, and so on, to tackle the issue.In a short period, satellite imagery will provide a lot of large-scale knowledge about the earth's surfaces, saving time. With the growth & development of satellite image sensors, the recorded object resolution was improved with advanced image processing techniques. Improving the performance of deep learning models in a broad range of vision applications, important work has recently been carried out to evaluate approaches for deep learning models in image segmentation.In this paper,a detailed overview provides onImage segmentation and describes its techniques likeregion, edge, feature, threshold, and model-based. Also, provide Semantic Segmentation, Satellite imageries, and Deep learning & its Techniques like-DNN, CNN, RNN, RBM, and so on.CNN is one of the efficient deep learning techniques among all of them that can be usedwith the U-net model in further work.
Preparation of Polypropylene/Silver Nanoparticles Nanocomposite Film and Evaluation of its Mechanical and Antimicrobial Properties w.r.t it’s Use in Packaging Applications
Authors: Sahoo Rajesh Kumar
Published: August 2021

Polypropylene/silver nanoparticles nanocomposite films were prepared by melt compounding method by using polypropylene pallets and silver nanoparticles powder. The physical properties of the virgin polypropylene film and nanocomposite films were evaluated by mechanical testing. The effect of various silver nanoparticles content in the polymer nanocomposites with respect to its antimicrobial efficacy against the Gram positive bacteria Escherichia coli and Gram positive bacteria Staphylococcus aureus were studied. Nanocomposite film containing higher percentage of silver nanoparticles loading showed 99.9 % efficacy against the bacteria as compared to virgin polypropylene film.
Design and Implementation of Multilevel Inverter with Various MPPT Algorithms for Optimal Tracking of PV System
Authors: Gortyal Akash
Published: August 2021

In this paper the different algorithm is performed in MATLAB Simulink to extract large amounts of energy from the pv system. MPPT algorithm is used to reduce complexity and to get better results, we used to perturb and observation, incremental conductance and fuzzy logic algorithm. A three-phase NPC inverter is used to connect the PV array with grid system, The PWM control method is used for the producing the PWM inverter signals. it contains PV array, dc / dc boost, three level NPC inverter. To get the synchronization between PV system and grid the synchronous reference frame theory with PLL block is used. The SRF theory will transform the three phase load currents (ia, ib, ic) to the two instantaneous active (id) and reactive (iq) components. The MATLAB simulation is preformed and we get a constant high output voltage from low input voltage and by changing the irradiance and temperature.
Behavior of Pervious Concrete Pile based on Vertical Loading
Authors: Rakh Avinash A
Published: August 2021

Permeable granular piles are used to increase the time rate of consolidation, reduce liquefaction potential, improve bearing capacity, and reduce settlement. However, the behaviour of granular piles depends on the confinement provided by surrounding soil, which limits their use in very soft clays and silts, and organic and peat soils. This research effort aims to develop a new ground-improvement method using pervious concrete piles. Pervious concrete piles provide higher stiffness and strength, which are independent of surrounding soil confinement, while offering permeability comparable to granular piles. This proposed ground-improvement method can improve the performance of different structures supported on poor soils. To achieve the goal of the research project, a series of pervious concrete sample mixing has been conducted to investigate the pervious concrete material properties. Laboratory tests are carried out on a pervious concrete pile of 100 mm diameter and variation at different lengths (500mm,400mm,300mm) surrounded by sand of different density. The tests are carried out either with an entire equivalent area loaded to estimate the stiffness of improved ground or only a column loaded to estimate the limiting axial capacity. Pervious concrete is a special concrete product made primarily of a single-sized aggregate. Pervious concrete has been used in pavements to reduce storm-water-runoff quantities and perform initial water-quality treatment by allowing water to penetrate through the surface. In the United States, pervious concrete is mainly used in pavement applications, including sidewalks, parking lots, tennis courts, pervious base layers under heavy-duty pavements, and low traffic-density areas. The vertical load responses of pervious concrete are the variation of soil stresses and displacement are discussed. Nine tests are conducted on pervious concrete pile further investigate the behaviour of the pervious concrete pile and surrounding soil under vertical load condition. Therefore, Pervious Concrete Piles is particularly suitable for reinforcing subsoil that has low strength and poor permeability.
Comparative Analysis of Brake Disc Materials
Authors: A N Prof. Santosh
Published: August 2021

A brake is a device that applies artificial frictional resistance to a revolving disc in order to stop the vehicle from moving, the frictional heat created at the disc pad interface can cause high temperature during the braking period, thermal elastic stability(TEI), early wear, brake fluid vaporization (BFV), and thermally stimulated vibrations can caused by frictional heat produced on the rotor surface (TEV), better thermal stability materials will decrease these causes, we investigate the thermal and structural characteristics in this research by finite element software, the solid brake disc is made up of various materials such as titanium alloy, structured steel and gray cast iron, further we analyze the brake disc using ANSYS 16.0 and CATIA V5 is used to design the model of brake disc, for this project the heat flux calculation have been made by considering various parameters of material as well as vehicle, finally a comparison made between grey cast iron, titanium alloy and structural steel materials. With respect to equivalent stress, temperature distribution, deformation values. This paper involves selecting a best suitable material to design a brake disc which leads to better safety to passengers.
Analytical and Experimental Overview of Fiber Reinforced Elastomeric Isolator
Authors: Qureshi Afroz
Published: August 2021

There has been many researches in order to further improve the Base Isolation system by trying various combinations and alternative materials. In that fiber reinforced isometric isolators are emerged as a viable solution, because for the low cost and effective response to seismic waves as compared to the conventional isolators. Studies further shows that it provides high vertical stiffness and low horizontal stiffness, also having effective damping over the conventional one. Developing countries who doesn’t have proper seismic protection solutions have found this convenient as they are comparatively less in cost and doesn’t require complex installation. Studies also shows Un-bonded FREI has lower horizontal stiffness and considerably lower stress demand on rubber material as compared to the B-FREI and hence significantly higher seismic isolation efficiency.
Automatic Target Detection and Shooting System
Authors: A Alan Paul
Published: August 2021

Our paper consists of the idea of improving target detection and shooting systems in an effective and low-cost manner. We have reviewed other systems in the past and come up with a multi-mode system that has multiple modes with its advantages and applications. Our system is much cost effective. We have used easy to get parts to function. it also has a modular design.
Helmet Wearing Detection for Riders Safety
Authors: Rani Shobha
Published: August 2021

The main purpose of paper is to find riders who neglect road safety, which leads to accidents and death. Thus most of the countries mandate the use of the helmets for two-wheeler riders. In order to discourage this behavior police force has been made for traffic to issue violation ticket. This process will be done manual, time consuming and very tedious. Hence proposed system will detect riders who wear the helmet while riding the motor vehicle and helps in finding riders without helmet to get imposed with fine. The system implements machine learning and image processing techniques to detect riders, riding two-wheeler, who are wearing helmets. The system takes a video of real time as the input and detects moving objects in the scene. The SIFT and SURF algorithm is used for detecting the helmet in the real time video, surf is faster than the sift algorithm in the machine learning and it is more efficient to detect the helmet object. Further, practically can be implemented in traffic intersections to monitor the rider’s safety by detecting helmet.
Improving Soil Properties by Using Coir
Authors: Maheswari Anusuri Uma
Published: August 2021

Construction on these soils is found to be expensive because of their low bearing strength. Soil having poor bearing need stabilization to make it suitable for construction purpose. In this study coir (extracted from coconut) is used as natural fiber for stabilization of soil. Stabilization using natural fiber is a cost-effective and eco-friendly approach to improve properties of soil. The study is carried out to evaluate the effects of coir fiber on properties of soil. Coconut coir in the soil were varied from 0, 0.5, 1.0, 1.5, and 2.0% and various soil properties were studied.
Problem of Solid Waste Management and its Impact on Urban Environment
Authors: Ahirwar Neeraj Kumar
Published: August 2021

The problem of urban solid waste management is regarded as one of the most important environmental issues, especially in developing countries. Municipalities all around the world are dealing with increasing levels of solid garbage and need to devise effective strategies to tackle the problem. It is critical to understand the amount of garbage created and the makeup of the waste stream in order to develop successful waste management in any location. Many research have established that the amount of waste generated is proportional to the population. There are several other factors which affect the amount and composition of waste. The enormous increase in solid waste generation particularly in large cities will have significant impact in terms of the land required for waste disposal
AI-Natural Language Processing (NLP)
Authors: Ali Miss. Aliya Anam Shoukat
Published: August 2021

Natural Language Processing (NLP) could be a branch of Artificial Intelligence (AI) that allows machines to know the human language. Its goal is to form systems that can make sense of text and automatically perform tasks like translation, spell check, or topic classification. Natural language processing (NLP) has recently gained much attention for representing and analysing human language computationally. It's spread its applications in various fields like computational linguistics, email spam detection, information extraction, summarization, medical, and question answering etc. The goal of the Natural Language Processing is to style and build software system which will analyze, understand, and generate languages that humans use naturally, so as that you just could also be ready to address your computer as if you were addressing another person. Because it’s one amongst the oldest area of research in machine learning it’s employed in major fields like artificial intelligence speech recognition and text processing. Natural language processing has brought major breakthrough within the sector of COMPUTATION AND AI.
Multi Parameter Physico-Chemical Analysis of Groundwater to be used for Drinking Purpose in Gorakhpur City
Authors: Siddiqui Ashar
Published: August 2021

As we all know that water is the most precious compound found in nature.It covers about 71% of the earth surface. About 97.3% of water is contained in the great oceans that are saline and 2.14% is held in icecaps glaciers and in the poles, which are not useful. The remaining 0.56% are found on earth which are useful for general purpose. Out of which Groundwater is one of the purest form of water available on this earth. It has been estimated that approximately one third of the world’s population use groundwater for drinking. This project is done in knowledge to get the analysis of various physico- chemical parameters such as pH, Turbidity, TDS, Total Alkalinity, Total Hardness, Chloride and Dissolved Oxygen of Gorakhpur city in view to ensure the groundwater to be fit for drinking purpose or not . About 20 samples were collected from India Mark-II Hand Pumps and Shallow Hand Pumps of various locations of Gorakhpur city and tested. After the analysis of various physico - chemical parameters of the samples collected , the groundwater found to be within permissible according to BIS 10500 – 2012.
Secure Data Transfer Using Image Steganography
Authors: Manral Nisha
Published: August 2021

Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the Internet. For hiding secret information in images, there exists a large variety of steganographic techniques some are more complex than others and all of them have respective strong and weak points. Different applications have different requirements of the steganography technique used. For example, some applications may require absolute invisibility of the secret information, while others require a larger secret message to be hidden. This paper intends to give an overview of image steganography, its uses and techniques. It also attempts to identify the requirements of a good steganographic algorithm and briefly reflects on which steganographic techniques are more suitable for which applications.
Clinical and Therapeutic Significance of Various Heat Shock Proteins
Authors: Maheswara Reddy Mallu  , Sree Rama Chandra Karthik Kotikalapudi  , Renuka Vemparala  , Chandana Agaarapu  , Siva Reddy Golamari
Published: August 2021

The purpose of this study was to explore the different roles of heat shock proteins especially in immunity and infections. Heat shock proteins were discovered 56 years ago, and much of the work has focused on the role of these proteins that play in protecting cells from stress. Heat shock proteins are highly conserved class of proteins present in all species from bacteria to humans. Several experimental studies have been successful in pointing to the role of heat shock protein as a clinical biomarker and therapeutic target in a variety of diseases. It will also highlight features of HSP family, and will discuss future implications of HSPs in the diagnosis and prognosis of clinical and therapeutic significance. The development of membrane-interacting drugs that modify specific membrane domains, modulating heat shock response, may also be of significant therapeutic benefit. These proteins function as molecular chaperones, assisting in the refolding of misfolded proteins or their elimination if they become irreversibly damaged. Proteomic studies have identified several different  HSPs  in  various  disease  types  that  may  be  clinical  biomarkers  or  molecular  targets  for  various therapies.
PENGARUH KUALITAS LAYANAN TERHADAP KEPUASAN KONSUMEN MENGGUNAKAN JASA “RUMAH LAUNDRY” DI KECAMATAN PALU SELATAN
Authors: Ningsih Vera , Adam Rosida P , Kornelius Yobert
Published: August 2021

The purpose of this study is to determine the influence of quality of service that consists of physical evidence  (X1),  empathy  (X2),  reliability  (X3), responsiveness  (X4)  and  assurance  (X5)  on  consumer satisfaction using  services  "Home  Laundry" in  South  Palu  Sub-district,  both simultaneously  and partially. The type of study is causal-descriptive. The population consists of all consumers who use the services  of  "Home Laundry"  in  South  Palu  Sub-district.  Sampling  technique  is  purposive sampling with a sample size of 60 people. The analytical tool is multiple linear regressions analysis. Based on the results of multiple linear regression analysis show that the quality of service consists of physical evidence (X1), empathy (X2), reliability (X3), responsiveness (X4) and assurance (X5) simultaneously have  significant  influence  on  consumers’ satisfaction  in  using  the  services  of  "Home  Laundry"  in South Palu, with significant values of 0.000> 0.05. Partial test finds that the quality of service consists of  physical  evidence  (X1)  =  0.011,  empathy  (X2)  = 0.001,  reliability  (X3)  =  0.001,  responsiveness (X4) = 0.000 and assurance (X5) = 0.010 significantly have partial influence on customer satisfaction in using the services of "Home Laundry" in South Palu Sub-district. Tujuan dari  penelitian  ini adalah  untuk  mengetahui  pengaruh  kualitas pelayanan  yang  terdiri  dari bukti  fisik  (X1),  empati  (X2),  reliabilitas (X3),  responsiveness  (X4)  dan  assurance  (X5) terhadap kepuasan konsumen  dengan  menggunakan  layanan  "Rumah  Laundry  "di Kecamatan  Palu  Selatan, baik  secara  simultan  maupun  parsial.  Jenis penelitiannya  bersifat  kausal-deskriptif.  Populasi  terdiri dari  semua konsumen  yang  menggunakan  layanan  "Binatu  Rumah"  di Kecamatan  Palu  Selatan. Teknik  pengambilan  sampel  adalah purposive  sampling  dengan  ukuran  sampel  60  orang.  Alat analisisnya  adalah  analisis  regresi  linier  berganda.  Berdasarkan  hasil analisis  regresi  linier  berganda menunjukkan  bahwa  kualitas pelayanan  terdiri  dari  bukti  fisik  (X1),  empati  (X2),  reliabilitas  (X3), daya  tanggap  (X4)  dan  jaminan  (X5)  secara  simultan  berpengaruh signifikan  terhadap  kepuasan konsumen  dalam  menggunakan layanan  di  Rumah  Laundry  di  Palu  Selatan,  dengan  nilai  signifikan 0,000> 0,05.  Uji  parsial  menemukan  bahwa  kualitas  layanan  terdiri  dari bukti  fisik  (X1)  =  0,011, empati (X2) = 0,001, reliabilitas (X3) = 0,001, responsiveness (X4) = 0,000 dan jaminan (X5) = 0,010 berpengaruh secara  signifikan  terhadap  kepuasan  pelanggan  dalam menggunakan layanan  "Rumah Laundry" di Kecamatan Palu Selatan