bluuebunny/crossref_metadata_2025 huggingface dataset:
Advances and Prospects in Architecting SnO2 Based Nanosystems for Gas Sensing Applications
Authors: Chakraborthy Aniket , M Sudeep , Chaudhary Vishal , C Manjunatha , Chakraborty Sujan , Krishna M
Published: April 2022

Currently, the gas sensor market is worth USD 2.33 billion. It is forecasted that the growth of compound annual rate value willing to be 8.7% within the length from 2021 to 2028. The commercial prospects of the semiconducting metal oxide-based gas sensor are limited due to high-temperature operation, higher power consumption, short-term stability, and sensitivity to humidity. Amongst all, tin oxide-based sensors are most commercialized owing to their tunable physicochemical properties. Moreover, the bottlenecks of elevated temperature operation, stability, and selectivity can be catered to by developing its hybrid nanocomposites with other organic and inorganic materials. The multi-interactions, surface functionalization, and formation of heterojunctions in SnO2 nanocomposites enhance their interaction with analyte molecules resulting in excellent sensing performances. This review aims to provide insights into various synthesis strategies to fabricate SnO2 and its hybrid nanocomposites. The advancements in physicochemical properties and structural chemistries are discussed in terms of various spectroscopic analyses. Further, the development in sensor devices using hybrid SnO2 nanoparticles and their sensing properties towards different gasses and VOCs are discussed. This review focuses on studies dealing with low and moderate-temperature gas detection through SnO2 based nanosystems. A comprehensive comparison and correlation of all the mentioned sensing results have been concluded to propose suitable conditions, hybrid SnO2 nanocomposite for superior gas sensing applications.
Photoenhanced Degradation of Cationic Dye (Methylene Blue) Using Biogenic Titania from Malus Domestica Extract
Authors: Shaikh Aqsa , Khalique Abdul , Akhtar M. Wasim , Memon Muddassir Ali
Published: April 2022

Herein synthesis of TiO2 nanoparticles is reported via green synthesis route by using Malus Domestics (Apple) for degradation of methylene blue that belongs to the family of cationic dyes. Malus Domestica extract was selected as stabilizing and bio-reducing agent due to the presence of phytochemicals like quercetin and chlorogenic acid. Surface topography studied through SEM exhibits dense, spherical, and scattered particles of TiO2. XRD patterns confirmed the formation of anatase phase with 13 nm crystalline size. FTIR spectroscopy confirmed the Ti-O-Ti bond formation. Optical visible range was evaluated to be 390 nm using UV-vis Spectroscopy. TiO2 synthesized through green route degraded 98% of MB in irradiation time of 120 mins.
An Efficient Twelfth Order Convergent Scheme to Solve Non-Linear Equations
Authors: M Sowjanya , Mylapalli Mani Sandeep Kumar , Kakarlapudi Navya , Sri Ramadevi
Published: April 2022

This paper suggests and analyzes a new twelfth-order iterative method for solving non-linear equations. Here we presented a modification of Newton’s method with higher-order convergence, and the study of convergence concluded that the order of convergence is twelfth. With some numerical examples, we concluded that this algorithm is better than classical Newton’s method and other methods with twelfth order.
An Overview of the Artificial Neural Network-Based Applications and Impact Assessment in COVID-19
Authors: Nagaraja K , Pothina Harshini , Devi Supriya , Reddy M.V. , Panda Tattwa Darshi
Published: April 2022

The article is regarding infectious disease, which has been affecting people all around the world since December 2019. Write-up gives a brief introduction of the Coronavirus from its emergence to the final solution of its exit. It gives us a glimpse of the biological structure of the virus, precautions to be taken in care to reduce the spread of the disease. The description shows us the consequences of the virus-like the mortality rate and the life expectancy rate. The article also presents a few vaccines development projects as a whole to fight COVID-19. It also describes the efficacy of vaccination and the post-vaccination symptoms. In the end, the write-up presents real-time neural network-based applications to fight COVID-19 and a few machine learning and deep learning techniques to diagnose a COVID-19 infected person. The final part of the article concludes with an artificial neural network and statistical neural network-based approaches to identify the rate of infection risk in a country.
An IoT-Based Treatment Optimization and Priority Assignment Using Machine Learning
Authors: Ramaiah Narayana SWAMY , Ahmed Syed Thouheed
Published: April 2022

In India, the resources availability with respect to demand has a larger gap in reality. For data analytics and resource scheduling for optimized access using the Internet of Things (IoT) as a data frontend collector, a machine learning technique is discussed in this paper. Telemedicine was initially considered "futuristic" and "experimental," but telemedicine is the need of this time. Telemedicine applies in a number of fields: patient care, education, science, management, and public health. The present study describes launchpad's for patient compliance. The proposed approach is aimed at achieving an integrated IoT Unit, Machine Learning Unit, and Broadcasting Unit treatment platform using an interface medium. Methods: The proposed system is designed for data collection using MSP430 and RL200 Launchpads at the patient side under sensory operations. The processed data is extracted to servers for processing and thus providing an optimized machine learning technique for resource sharing, such as drug distribution, instrumental enhancement, and appointment allocation. Novelty: The proposed system architecture utilizes user group from various locations under both rural and urban categories installing the monitoring application as discussed under the IoT unit of for data acquisition and transmission. The hardware kit is aided with MSP430 and supporting Wi-Fi for connectivity to cloud servers. Findings: In the future stage of experiment and setup, MSP430 was replaced by RL200 with a built-in Wi-Fi module for easy connectivity and achieve compactness. The proposed technique has achieved satisfactory results for open datasets under the Hadoop environment.
Geosynthetic Encased Concrete Debris Stone Columns
Authors: Tenepalli Prathyusha
Published: April 2022

Rapid urbanization has compelled the building industry to improve the soft soil grounds which otherwise are unsuitable for construction activities. Ground improvement helps achieve better performance by avoiding several problems like excessive settlements, large lateral flow of soft soil beneath the structures, and loss of global or local stability under operational loading conditions by modification of foundation soils. The growing quantities and types of waste materials, shortage of landfill spaces, and lack of natural earth materials highlight the urgency of finding innovative ways of recycling and reusing waste material additionally can reduce the demand for natural resources creating sustainable ecosystem. The aim of this experiment is to use crushed concrete debris (CCD) in soil stabilization. A series of experiments are to be carried out to develop an understanding on the performance of soft clay foundation beds reinforced using geosynthetic encased stone-concrete debris column. Model tests was conducted on clay reinforced with encased vertical columns filled with both CCD and aggregates. A comparative study is to be done and an assessment of ultimate bearing capacity of the composite ground is to be done. The column failure mechanism in the both the cases are to be carefully studied. Modal tests and later numerical analysis is done in PLAXIS 2D for analyzing the behavior of geosynthetic encased stone column stabilized clay bed numerically. Analyses were carried out using Mohr-Coulomb’s criterion. Lab conditions were simulated in PLAXIS for accurate comparison for same model tests.
Sleep Quality in Relation with Cyberchondria Among Young Adults During COVID-19 Pandemic
Authors: Zackiya S. Aamira , Venkatachalam J
Published: April 2022

According to the United Nations third sustainable development goal, ensuring healthy lives and promoting the well-being of all at all ages is essential. Currently, COVID-19 pandemic is the defining global health crisis and causing considerable psychological and physical distress as well as high mortality rates across the world. Recently, the internet has rapidly become the major source of health related information among the general public. This behavior of searching the internet for the common symptoms has increased during this pandemic due to the fear of uncertainty. However, the excessive and compulsive use of the internet for health information leads to a phenomenon termed as cyberchondria. It is defined as an increase in anxiety about one’s own health status as a result of excessive online searches. The increase in anxiety and distress has an impact in the sleep quality among individuals. Hence, the present study aims to focus on cyberchondria during the COVID-19 pandemic and how it is affecting the sleep quality among young adults. Simple random sampling technique has been administered to collect the data. Participants (N=123) responded to the Cyberchondria Severity Scale short-form (CSS-12), Sleep Quality scale (SQS-28), and the demographic data. Results revealed that all the four dimensions of cyberchondria and the overall score showed significant positive relationship with all other factors and overall score of sleep quality except the factor, difficulty getting up. Further, young adults having high level cyberchondria are highly responsible for more variance in sleep quality other than young adults having low level cyberchondria.
Effect of RBI Grade 81 on Strength Characteristics of Expansive Soil
Authors: G Venugopal , Naagesh Sureka , S Gangadhara
Published: April 2022

Expansive soils, which are generally termed as problematic soils, cause swelling and shrinkage resulting in significant damage to the structures constructed on them. In this study, an attempt is made to know the effect of Road Building International Grade 81 (RBI Grade 81) on strength characteristics of expansive soil. RBI Grade 81 has a wide range of response spectrum. Response spectrum is the range of soils for which a particular stabilizer can be used. A wide range of tests, such as Atterberg limits, compaction, unconfined compressive strength, and California bearing ratio, were conducted on expansive soil and expansive soil treated with various percentages of RBI Grade 81. The results indicate that RBI Grade 81 is effective in improving engineering properties of expansive soil.
Design and Implementation of Unconstrained Optimization Algorithm for Non-Uniform Filter Banks
Authors: B Keerthana , N Raju
Published: April 2022

In communication systems, techniques which provide high resistance against Interchannel Interference under high data rate transmission become vital [1]. Hence, an efficient algorithm for design and implementation of non-uniform digital filter banks using optimization parameters is presented. The design problem is based on unconstrained optimization of cut-off frequency (ωc) for Finite Impulse Response (FIR) filter banks for optimum design of transmultiplexer depending on near perfect reconstruction [2]. The objective function is chosen as Interchannel Interference and amplitude distortion (Eam) with ωc, As, and roll off factor as varying parameter [3]. The proposed algorithm will be validated for real-time video processing with 40dB attenuation, which are sufficient to ensure an output of adequate quality.
Energy Factor Based Routing Algorithm for Lifetime Enhancement in Mobile Ad-Hoc Networks
Authors: Shafi Shaik , Naresh Kumar B , T P Kausalya Nandan
Published: April 2022

Energy consumption and dissipation of mobile nodes is considered as one of the significant aspect affecting the entire lifetime of Mobile Ad-Hoc Networks (MANETs), as the nodes depends on limited battery power. In addition, spatial and temporal characteristics of mobile nodes also make energy imbalance in the network. Towards this, there are several studies that emphasis on improving the network lifetime and reliability by altering the existing MANET routing protocols. In this paper, an Energy Factor based Ad-Hoc On Demand Distance Vector routing algorithm (EF-AODV) is proposed in MANETs for lifetime enhancement. The proposed technique includes two algorithms by leveraging the cross layer paradigm. Firstly, proposed EF-AODV dynamically chooses intermediate nodes based on battery power, and mobility of the nodes in the direction of destination. Secondly, for uniform energy consumption, we calculate the energy factor at each intermediate mobile node by considering the sleep and ideal states of the nodes along with mobility. Further, the energy factor is considered as a key metric to obtain the optimal path from the source to the destination to balance the energy disparity in the network, leading to reduced delay in packet transmission. The path with highest energy factor value is selected for networking of data packets. Upon extensive simulation using Network Simulator (NS-2.34), we illustrate that the proposed EF-AODV outperforms over existing ad-hoc routing approaches under the various performance metrics.
Computational Study on the Effect of Afd-Body Attachment on Base Drag Using Locked Vortex Method
Authors: Rabaa Judy , Kuppusamy Ashok
Published: April 2022

Minimization of drag has always been a concern to achieve high efficiency and performance. Drag reduction techniques can be used to minimize vortex shedding and make. This method can be used for building launch vehicles and missiles. Vortex shedding can be observed when there for over blufſ body, which creates drag. Design modification like the attachment of splitter plates to the base of the body helps to trap the vertices and suppress vortex shedding. It also helps in recovering the pressure at the base of the body. This can be considered as the most effective passive control technique. The paper mainly focuses about the computational study on the effect of aft-body attachment on base drag using locked vortex flow management technique, which proves to be an efficient method in reducing drag.
Low Power Linear Feedback Shift Register Using DY-CML
Authors: Manju Bhargavi K , Sreekanth Reddy B
Published: April 2022

A Linear Feedback Shift Register (LFSR) is a sequential shift register that cycles through a succession of binary values in a pseudo-random way using combinational logic. Pseudo-noise sequences, whitening sequences, and fast digital counters are some of the applications of LFSR. The design of a 4-bit LFSR employing CMOS, MOS Current-Mode Logic (MCML), and Dynamic Current-Mode Logic (DY-CML) approaches are shown in this paper. MCML has low power consumption and better performance. The disadvantage of MCML approach is that it has more static power dissipation due to the constant current source. In order to solve the issues of MCML approach, the DY-CML with a dynamic current source is used to design the LFSR. All designs are simulated using the Mentor graphics tool, which uses 90nm technology. This paper also includes a comparison of LFSR’s in terms of power, delay, and transistor count.
Transient Effect of Random Loads on Reinforced Cement Concrete Building on RCC Building with Staad Pro. V8i
Authors: Burman Aditya kumar
Published: April 2022

Abstract. Dynamic load is one which changes with time quickly in comparison to the structure's natural frequency. If it varies quickly, the activity must be determined with a dynamic analysis. Explosive loads and impact loads are transients, or loads that are applied dynamically as one-half cycle of high amplitude. This transient load is applied only for a specific and typically short period of time in the case of blast loads typically less than one-tenth of a second. The response of the engineering structural building due to the reason of periodic load RCC building structure has been severely damaged, collapse and develop cracks. Bomb blast is the best example for impulsive load. To determine the response of a G+3 RCC building model in STAAD Pro subjected to triangular, rectangular and sinusoidal impulsive force for 0.5 seconds with maximum magnitude of 100kN. Effect of such loads on front, roof and side portion of the building studied. Observe that the critical deformations obtained on the front and roof portion of building. Effect of deformation along height of building was parabolic in nature with maximum deflection at top floor of building. It was also noted i.e sufficient reinforcement should be provided in beam, columns and slabs to impart ductility to the building against impulse loads.There is more demand for construction of high buildings due to increasing urbanization and population.
Integrated Double-Sided LCC Compensation Topology for an Electric Vehicle Wireless Charging System
Authors: Aganti Mahesh , C Bharatiraja
Published: April 2022

Wireless power transfer (WPT) is a necessary solution for removal of high power cables (direct electrical contact) that provides safer charging solution, waterproof and dust-proof capability, sterile environment application, etc. The double-sided LCC (DSLCC) compensation topology offers a high efficient Electric Vehicle (EV) wireless charging operations. Due to the number of elements utilized in DSLCC, it requires large space. In order to reduce the space and cost, class-E converters are utilized to design a low power wireless charging system. Class E converters have such benefits as less components, high reliability, and soft switching. Thus, to have a compact efficient Wireless Charging System (WCS) by reducing the space occupancy of DSLCC, an integrated DSLCC based wireless charging system for low power applications is proposed. This method was realized by utilizing the MATLAB simulation and achieved more than 90% of efficiency for 1 kW system with 85 kHz frequency.
Comparative Study on Thermal and Structural Analysis of Perimetric Disc Brake Using ANSYS
Authors: Kandregula Satvik , M N Suhail Khan , Batra Gautam , Anirudh C.V.S , Yash Prateek , Prabu S. Senthur
Published: April 2022

The study comprises a comparative thermo-structural coupled analysis of a perimetric type brake rotor with different materials and cut pattern. The steady state temperature of the rotor will be affected by material and cut patterns, which would further affect the deformation and stresses induced in the disc due to the loads. On the perimetric rotor designs, static structural and thermal stress analyses were performed in ANSYS to analyze and compare the stress and deformation pattern of the rotors under extreme loads. In the derivation of the heat equations and force calculations on the brake rotor, parameters such as mass, velocity, and tire dimension of vehicle have been taken into account, and CAD models are prepared in SolidWorks. There is also an attempt to recommend the ideal combination of material and cut pattern for disc brake rotors that result in low temperature variation across the rotor, less deformation, and minimal von-mises stress.
LoRa Based Smart City (Long Range)
Authors: Deeti Akshitha , Venkateshulu B
Published: April 2022

The mission is to trace the placement of the women and children for the purpose of their safety in the vicinity with a help of a GPS module integrated on the carrying device. A panic button is deployed on the same device. Whenever an individual is in urgency, the panic button has to be enabled. The transmitter passes info to a gateway (pycom) via LoRa communication. From pycom, information is directed to the IBM cloud using Wi-Fi so that the organization can observe the intensely contaminated areas, temperature, humidity, working status of street light, geofence, filled status of dust bin, and take proper action. A web-application is developed using Nodered, one of the services provided by the IBM cloud through which admin can monitor the above parameters in pictorial form. The coding used for the transmitter is C, which is done in Arduino IDE. For the receiver, it is micro-python using Atom software.
A Review on Computer Assisted and Mobile Assisted Language Learning in Vocabulary Learning to Develop Retention of Learners in a Sustainable English Language Learning Environment
Authors: Regina D. , Antiha Devi V
Published: April 2022

The main focus of this review is to evaluate and discuss articles related to English vocabulary teaching and learning in computer-assisted language learning (CALL) and mobile-assisted language learning (MALL). The articles serve as the primary data source. After reviewing the titles and abstracts, selected articles will be included in this review paper. The purpose of this article is to evaluate the effectiveness of computer-assisted and mobile-assisted language learning to teach vocabulary in English language classrooms. The methodology followed in this paper is to review the studies based on the topics related to the effectiveness of CALL and MALL in developing vocabulary learning and retention through sustainable English language classrooms. The articles for review were selected from search engines and open-access databases. The present study adopts the review method to evaluate studies from 2015 to 2021. Finally, articles will be selected based on the inclusion and exclusion criteria.
Triple Band Slotted Microstrip Patch Antenna for Both C-Band and X-Band Applications
Authors: Mercy P. Michael
Published: April 2022

The primary target of the research work is to configure a rectangular shape microstrip patch antenna at a working frequency of 2.4 GHz to tune and improve the antenna characteristics of directivity, gain, return loss, VSWR, and to attain multi-band nature using slot cutting techniques for wideband applications. For performing triple-band operations from a single-band antenna, rectangular shape slots are made in the patch using slot cutting techniques. The antenna executes a good radiation pattern, propagation pattern, directivity, and gain, and it covers the frequency range of 7-13 GHz, which is perfect for C and X band applications. It bestows triple-band at 7.23 GHz, 10.17 GHz, and 13.6 GHz and high directivity, a gain of 9.8575 dB, and 4.4746 dB for an FR4 substrate having a thickness of 1.6mm. The suggested antenna is multi-band and possesses the benefits of easy layout, compactness, and adequate impedance matching. The suggested antenna configuration is simulated and executed using HFSS.
Satellite Image Processing for Water Detection
Authors: S Kanaga Suba Raja , R S Kumar , V Balaji , S Usha Kiruthika
Published: April 2022

Water resources have a major impact in different day to day activities. Whether it is consuming water or for commercial purposes, gallons of water have been used all over the world. In order to use the resource to the fullest, it should be planned properly and should have effective water management techniques. Satellite image processing is one of the most effective ways of detecting water on the earth’s surface. By receiving the images from the satellite, we will be able to easily detect water. But, due to minor effects, we may face difficulties in differentiating the characteristics of water. For example, when there is a shadow of tall buildings on the water surface, it will be difficult to read the image of the water body as the water surface creates a mirror reflection on it. Hence, it is important that we differentiate between water bodies and shadows. Over the years, different researchers conducted experiments to extract data on high resolution satellite images of the water bodies. The main objective of the paper is to look at the various approaches to extract information from different satellite images using satellite image processing.
Structural Characteristics of Commercially Available and Self Synthesized Carbon Nanomaterials
Authors: Roy Ashish , Madhuri W , Chacko Basil
Published: April 2022

The element carbon has been used as a source of energy for the past few hundred years, and now in this era of technology, carbon has played a significant and very prominent role in almost all fields of science and technology. The interesting characteristic of carbon is its ability to form many allotropes due to its valency. In recent decades, various allotropes and forms of carbon have been invented, including fullerenes, carbon nanotubes (CNTs), and graphene. So as an honor to this marvelous element, we humans should know about its various forms of existence. In this present work, we shed light on structural studies of commercially available and self-synthesized carbon nanoparticles. A brief introduction is given to the types, structures, and shapes of the allotropes of carbon for a better understanding. The crystallographic structure of the carbon nanomaterials (CNMs) is investigated by X-ray diffraction (XRD) peak profile analysis. The microstructure is characterized based on crystallite size, interplanar spacing, density, strain, and dislocation density. Raman spectroscopy is particularly well studied to characterize the molecular morphology of CNMs.
A Study on Internet Addiction Disorder (IAD) and its Related Psychological Factors During the COVID-19 Lockdown
Authors: Handique Kaushik , Teronpi Justina
Published: April 2022

Restricted mobility has forced people into the confines of their homes; perceived depression, anxiety, and stress increases. This has not only increased the dependency on the internet, but also to look at the mental health, which often becomes a catalyst for human beings to develop addictive behavior. This study is undertaken to measure the levels of internet addiction and the levels of depression, anxiety, and stress, and also to analyze the association between internet addiction and the levels of depression, anxiety, and stress. We have taken a sample of 293 respondents from the state of Assam, India using convenience sampling. Results from the participants indicate the prevalence of mild depression, moderate, and severe depression. Prevalence of moderate anxiety level is found to be the highest, followed by mild anxiety and severe anxiety, while extremely severe anxiety level is also found. The respondents have mild stress; following in higher frequency is moderate stress. Severe dependence on the internet is also found to be prevalent; while moderate internet addiction and mild internet addiction are also found. Overall problematic social media usage is also found prevalent; while the prevalence of online gaming addiction is also found.
People with Chronic Bronchitis are at More Risk of Getting COVID-19
Authors: Sahu Tokeshwar
Published: April 2022

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the seventh-generation coronavirus family causing viral pandemic coronavirus disease (COVID-19) across the globe, affecting millions of people. In this time, the COVID-19 coronavirus pandemic is a worldwide problem that affects 10.8M people (3 Feb. 2021). The cases of COVID-19 increase daily and affect our physical, mental, and social-economic conditions. The recent outbreak of coronavirus disease 2019 (COVID-19), triggered by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), poses an enormous threat to global public health and economies. The genome sequencing study shows that SARS-CoV-2-induced COVID-19 belongs to coronavirus. IBV-induced avian infectious bronchitis belongs to the genus Gamma coronavirus. A chronic bronchitis is respiratory disease affecting our both upper or lower respiratory track, so it is at high risk of COVID-19. In this systematic review we are review the articles related to COVID-19 and chronic bronchitis. A systematic search was observed to describe studies reporting occurrence of bronchitis in relation to patients confirmed having COVID-19. We performed a systematic literature review with meta-analysis using four databases to assess clinical, laboratory, and confirmed outcomes of COVID-19. We report a low prevalence of bronchitis patients in COVID-19 case series compared to the latest bronchitis prevalence rate in India. We assess the articles and review the patients who have confirmed COVID-19 with chronic bronchitis and found that chronic bronchitis is at more high risk of COVID-19 by the use of collected review articles, and data information.
A Comprehensive Update on Emerging Infectious Zoonosis and Applications of Zoonotic Disease Modeling: A Review
Authors: Reddy Manjunatha , S Krithika , Manokaran Sumathra
Published: April 2022

After the most recent COVID-19 outbreak, which has now made headlines, people trace back the connections of SARS-CoV-2 virus with other recent outbreaks such as SARS, MERS, Avian influenza, etc., all of which have high virulence and destructive powers. The common feature observed in all these alarming outbreaks is that they are “Zoonotic spillover diseases.” Spillover event also referred to as spillover infection or simply pathogen spillover is the process where a pathogen jumps from an animal to a human. Despite posing a threat to public health worldwide, it is an inadequately understood phenomenon. Modeling the behavior of zoonotic pandemic, while taking epidemiological, ecological and behavioral determinants of pathogen exposure into consideration plays a vital role in its control. Interventions can be designed based on these models to reduce or eliminate the risk of spillover, hence preventing epidemics or devising better strategies to fight them in the future.
Integrating Renewable Energy Storage with Solar, Including Micro-Grid Functionality in Modern Healthcare Buildings
Authors: D Hadeel Abdulkareem
Published: April 2022

This research focuses on three major Turkish hospitals case studies to demonstrate how input parameters for renewable energy internal load and temperature control patterns influence the accuracy of annual energy simulation results for healthcare buildings using micro-grid lines. The three cases studies include: The Central Hospital Istanbul and the Medicana International Hospital Building, both part of the state hospitals, and the Koc Hospital Istanbul Building. These specific case studies are selected to represent three different types of buildings with enhancing energy capacity with renewable energy (solar and wind). The Koc Hospital Istanbul is an example of a new certified building. The Central Hospital Istanbul provides an example of a small retrofit project, and the Medicana International Hospital is an example of a building that has gone through major retrofitting for energy management. This research uses MATLAB, an interface of MATLAB to simulate all case studies for renewable energy generation with micro-grid lines. The program offers the option to model the building with simple or detailed HVAC systems. It has built-in templates for renewable energy management, weather data, typical loads, and schedules. For renewable energy, the modified model achieved a lower accuracy in heating energy than in renewability. However, it is still a substantial improvement over the default model.
Statistical Equation for Coefficient of Transmission over Stepped Mound Breakwater
Authors: Alshaikhili Hasan Ibrahim , Khassaf Saleh Issa
Published: April 2022

Breakwaters are considered to be one of the most hydraulic constructions in history. The waves hit the stones that created the breakwater initially, and when they are eroded and distributed in the sea, the enhancement arrives to make a breakwater with an equilibrium shape by filling the spaces with additional stones. Although various types of breakwaters were created to defend the shoreline from rock fill or blocks, stepped mound breakwaters were implemented in this work to absorb sea wave energy by proposing a novel equation to estimate the transmission coefficient based on dimensional group following Buckingham theory.Results show that the depth of water, height of incidence wave,height of transmission wave, length of wave, step width, step height, number of steps, and inclination angle of breakwater are employed by MNLR as statistical approach to produce a nonlinear equation with R2 reach to 82%, then this equation validated with R2equal to 81%.
The Nonlinear Interaction of Oil Prices, Exchange Rates, and Institutional Quality on Tourist Arrivals in Bangladesh
Authors: Parvin Rehana , Sarker Ronobir
Published: April 2022

This study investigates the nonlinear effects of oil prices, the exchange rate, and institutional quality on tourist arrivals in Bangladesh. The Nonlinear Autoregressive Distributed Lag (NARDL) approach, which was petitioned for time series data from 1995 to 2019, was used in this study. Crude oil prices and exchange rates have a long-and short-run negative and significant impact on tourism demand, according to the findings, whereas increases in institutional quality are favourably associated with tourist arrivals in Bangladesh. According to the Wald test, there are asymmetries among variables. Negative oil price shocks, positive exchange rate shocks, and poor institutional quality were the factors that had the greatest impact on tourist arrivals, according to all of the dynamic multipliers' estimates. For Bangladeshi politicians and investors, the implications of this study are critical.
Design and Implementation of IoT-Based SCADA for a Multi Microgrid System
Authors: Duair Jaafar J , Majeed Ammar I , Ali Ghusoon M
Published: April 2022

This paper deals with the design and implementation of an internet of things (IoT) based supervisory control and data acquisition (SCADA) system for a multi microgrid system. The individual microgrid in this work is suggested to be consisting of solar photovoltaic (PV) array, battery bank, and diesel generator, in addition to national grid. IoT is used to provide a suitable wireless means to transfer the monitoring and control data between the generation subsystems and the microgrid controller. SCADA architecture that make use of IoT infrastructure enables efficient and reliable power sharing and also give a clear image about the system status and subsystem failure and power shortage. This system gets benefit of various sensors, including current, voltage, power, and temperature sensors, that are used to collect data from of the PV array and battery bank, and also gives clear image about power demand in each microgrid. The microcontroller ESP32 is used as remote terminal unit (RTU) controller in SCADA system in order to get data from sensors as well as to communicate with the master terminal unit (MTU). By using Cayenne remote server IoT platform deploy the message queuing telemetry transport (MQTT) protocol to store, monitor, and manage data from a MTU. The designed system is low-cost and effective system to monitor and control microgrids that contain many distributed generators.
Efficient Composition Algorithm Strategies on Semantic Web Services Using Nature Inspired Approach
Authors: C. Santhosh Kumar , Vijayabhasker R.
Published: April 2022

Web services are used all around the world for commercial purposes. It works majorly by Universal Resource Locators, which are stored in the repository UDDI. The different web service has to be composed for creating new business services. It is time dependent for composing more web services, which is massive. A semantically described WSDL description solves automatic composition of web services. Also with ontological models and languages, such as RDF, OWL, and SWRL, the better automatic discovery, selecting, integration, and composition of services have been done. Service requirements, such as connectivity, quality-of-service properties, correctness, and scalability, need to be satisfied. For achieving these, many evolutionary algorithms will be used for improving quality of service parameters. This paper describes many optimizations algorithms which will be used efficiently in optimizing composition techniques in semantic web.
A Research Article On: Effects of COVID-19 On Medical Students
Authors: Bharadwaj Vaishnavi , Dawande Pratibha , Lamture Yashwant , Hakim Susmit
Published: April 2022

Coronaviruses (CoVs) are massive positive-stranded enveloped RNA viruses that infect humans and animals, causing enteric and respiratory diseases. Because of their lethal ability, most human CoVs have recently attracted worldwide attention. COVID-19, also known as SARS-CoV-2, is a highly pathogenic CoV that first appeared in Wuhan, China. The WHO has declared COVID-19, caused by SARS-CoV-2, a pandemic which has been in existence since March 11, 2020. The pandemic began in Wuhan and rapidly spread throughout the world. SARS-CoV-2 is a virus that is closely related to SARS. In 2010, a Global Independent Commission on Education of Health Professionals for the Twenty-First Century, comprised of experts in general well-being and medical services from across the world, declared that the goal behind wellbeing callings instruction was to work on network strength. The COVID sickness 2019 (COVID-19) pandemic carried both lucidity and direness to this reason and numerous scholarly wellbeing frameworks in the US have reacted. During the COVID-19 pandemic general unexpected issues have gotten the most consideration, though just couple of studies address the likely immediate impact on psychological well-being of SARS-CoV-2 and the neurotropic potential. CONCLUSION: The COVID-19 pandemic has wreaked havoc on systems all throughout the world, including education and healthcare. People are putting up a lot of effort to stop the virus from spreading and to develop viable treatments and vaccinations. The pandemic's harmful consequences are predicted to last for a long period, particularly because the virus's behaviour and pathophysiology are still unknown.
3D Printed Medical Accessories Using FDM Process for COVID-19 Virus
Authors: Gss Rishab , Rajagopal Sivakumar , Anand Suya Prem , Paramasivam Vinothkumar , Ahirwar Satyaprakash
Published: April 2022

The sudden spike in the Covid-19 pandemic cases around the world caused an urgent demand for Personal Protective Equipment (PPE), such as N95 face mask, face shield, ventilator valve, and non-contact door hook. The current situation requires a huge cost involvement and hard to solve the huge demand in a short period by using the traditional fabrication process. Therefore, the three-dimensional (3D) printing technology emerged as a suitable alternative to produce cost-effective production methods for these components. The present research work focuses on the design, types of filament material, and 3D printing process to print the required PPE kits, which facilitates to reduce the economic cost, environmentally hazardous, and failure of the product (reusable). Overall the initial investment needed for the 3D printing technology to print the polymer medical accessories is reduced and the material can be reused after appropriate treatment.
Review Article: Acute Kidney Injury
Authors: Hawale Dattu , Lamture Yeshwant , Savadatkar Om D.
Published: April 2022

Acute kidney injury (AKI) is described as a loss of excretory renal function that occurs suddenly. AKI is one of a group of diseases and disorders known as acute kidney diseases and disorders (AKD), in which a gradual loss of kidney function or persistent renal dysfunction is linked to the irreversible loss of kidney cells and nephrons, which can lead to chronic kidney disease (CKD). New biomarkers are currently being explored in the clinic to detect damage before function loss. People all throughout the world are affected by AKI and AKD. Infections and hypovolaemic shock are the most common causes of AKI in low- and middle-income nations. Infections, drugs, or invasive procedures cause AKI, which is more common in elderly hospitalized patients in high-income countries. Infections are widespread in all areas, as are AKI and AKD caused by trauma. The large range of symptoms associated with AKI suggests a number of pathophysiological reasons. In critical care settings, AKI management can be difficult, especially when it comes to volume control, nephrotoxic medication management, and when it comes to the timing and kind of renal support. Conclusion: AKI is a significant medical disorder that has been linked to poor clinical outcomes in individuals who are hospitalized. Significant progress has been made in refining the definition of this syndrome and establishing the underlying pathophysiologic processes of the many clinical manifestations. It is self-evident that no single pathophysiologic mechanism can account for all clinical symptoms of AKI.
Anti-Inflammatory Potential of Intracanal Medicament Containing Oregano Essential Oil
Authors: V S Gayathri , Johari Shreya , C Pushpalatha , R Deveswaran
Published: April 2022

Oregano is widely used as aromatics in food and alcohol. Oregano oil has been used in traditional medicine for decades. Oregano essential oil (OEO) is extracted from leaves from the oregano plant. Oregano is known for its antibacterial and antispasmodic properties due to its polyphenol content, which includes many flavones. The aim of the study was to assess the Anti-Inflammatory Potential of Intracanal Medicament Containing Oregano Essential Oil (OEO). The anti-inflammatory activity of an intracanal medicament containing oregano essential oil at various concentrations was evaluated using the raw 264.7 cell line. The ability of extracts to suppress nitric oxide generation by cells was used to calculate percentage inhibition. Curcumin was used as the standard. The study concluded that anti-inflammatory activity of the formulation showed IC50 value of 94.34%, and hence can be used clinically to treat infected root canals.
Chronic Kidney Disease: A Case Report
Authors: Korde Rita
Published: April 2022

Chronic kidney disease, also known as renal failure, affects mostly those patients who have a history of hypertension and diabetes. The rate of filtration or kidney function can decrease in this medical condition over the course of a month or a year. The person with chronic kidney disease may not show any signs or symptoms at first, but after a few months or years, symptoms such as nausea, vomiting, lethargy, edema, disorientation, and loss of appetite may appear. If the patient does not receive early detection and heart disease, hypertension, bone disease, and anaemia may develop. Case report: This is a report of a 63-year-old Muslim female from Yavatmal. Since 10 days, she has been taken to the AVBRH with the major complaint of breathing trouble, fever, nausea and vomiting, swelling in both legs, tiredness, and weakness. She has had HTN for the past 5 years and was just diagnosed with DM2.
COVID-19: Immunopathogenesis and Immunotherapeutics
Authors: Gajbe Ujwal , Sharma Ram , Patil Ragini , Gawande Ujwalla
Published: April 2022

Introduction: The ultra-modern new coronavirus disease (COVID-19) outbreak that’s resulting from the excessive acute breathing syndrome coronavirus 2 (SARS-CoV2) is seeing a dramatic upward thrust in inflamed people all around the world. In the aetiology and scientific signs of SARS-CoV2, the host immune reaction seems to be crucial. In sufferers with excessive COVID-19, SARS-CoV2 now no longer handiest turns on antiviral immune responses, however it could additionally cause out of control inflammatory responses characterized with the aid of using excessive ranges of pro-inflammatory cytokines, ensuing in lymphopenia, lymphocyte dysfunction, and granulocyte and monocyte abnormalities. These immunological abnormalities resulting from SARS-CoV2 may want to cause microbial infections, septic shock, and organ failures. As a result, the approaches underlying immunological abnormalities in COVID-19 sufferers want to be explored if you want to manual scientific care of the disease. Furthermore, sensible law of SARS-CoV2 immune responses, which incorporates growing antiviral immunity at the same time as restricting systemic inflammation, will be important to a hit treatment. Conclusion: SARS-CoV2 has produced a global public health emergency, which promotes greater efforts to assess viral transmission, pathogenesis, and immune responses, as well as improve disease prevention and treatment strategies. Data from these scientific endeavors have shown that managing the interaction between the virus and the immune system is important in reducing morbidity and mortality, in addition to opening up the development of vaccines and vaccination processes.
Awareness and Perception of Chatbots/Chatbox Amongst Customers
Authors: Bhalerao Harshali Rahul , Mathur Ashutosh
Published: April 2022

As businesses are all moving to the online platform, interacting with the customers is becoming a challenge. Traditionally, businesses could connect with their customers through the middlemen involved in selling their products or through their sales force. Today, one of the platforms where business people interact with customers are chatbots. Since the use of chatbots is fast becoming a popular feature on the website of mainly customer-oriented businesses, it is important to know the ease and comfort of the people in interacting with the chatbots. In the current paper, we have tried to analyze the awareness and perception of chatbots amongst customers. The data was collected using a survey method. The questionnaire included data related to customer demographics and constructs to understand awareness and perception about chatbots amongst people. The data was collected from people residing in and around Pune city. Data would be analyzed using one-way ANOVA and Pearson correlation regressions tests. The results would have both academic as well as practical implications.
Comparative Analysis of Consumer Satisfaction Towards Life Insurance Companies in India: An Actionable Insight for Indian BFSI Industry
Authors: Seth Dinesh , Gupta Meenu
Published: April 2022

In the highly competitive life insurance sector consumer satisfaction has become a crucial aspect of hostile marketing. In order to survive in the modern era, delivering a high quality services has become need of an hour. As LIC, ICICI Prudential Life, HDFC Life, and SBI Life are dominating the life insurance sector with a combined market share of around 80% among all 24 life insurance companies. These four companies are chosen under the study according to their market shares. Data has been collected from 600 consumers (150 from each company) from dist. Ludhiana and dist. Sangrur of Punjab. In context of satisfaction, the consumers of LIC were found to be more satisfied among all the companies in terms of clarity of terms and conditions followed by ICICI Prudential Life, HDFC Life, and SBI Life. The consumers of all the companies are equally satisfied in terms of availability of easy premium modes. As far as print quality of the policy document is concerned, the consumers of ICIC Prudential Life were found to be most satisfied. It was found that the agents of HDFC Life are doing the best job among all the chosen companies in terms of consumer dealings. ICICI Prudential Life is providing the best office facilities and timely reminders to the consumers.