bluuebunny/crossref_metadata_2025 huggingface dataset:
Characterization and Photocatalytic Activity of ZnO/TiO2 Composite
Authors: Hutsul Khrystyna , Ivanenko Iryna
Published: April 2022

The article describes the results of synthesis and research of ZnO/TiO2 composite. The synthesized ZnO/TiO2 composite was studied by scanning electron spectroscopy (SEM), X-ray phase analysis (XRD), and the optical width of its band gap was determined by the Kubelka-Munch method. The photocatalytic activity of the synthesized ZnO/TiO2 composite was investigated in the model process of methyl blue and methyl green dyes photodegradation, and compared with the activity of pure TiO2 and ZnO powders.
A Survey of Secured Cluster Head: SCH Based Routing Scheme for IOT Based Mobile Wireless Sensor Network
Authors: Kiruba D Giji , Benita J
Published: April 2022

This paper describe various energy resourceful routing schemes for secured IoT-mobile sensor network and skeleton for clustered IoT-mobile sensor networks. The primitive design of a battery arrayed mobile wireless IoT-sensor nodes is to increase the transmission energy. The proposed work has the advantage that the communication and computation overheads are low and give better performance in terms of network lifetime, energy consumption, and intrusion detection. This paper proposes a secured energy resourceful routing protocol for security awareness in IoT-mobile wireless sensor networks. The intrusion and normal interruption are much related and it is hard to determine. A routing protocol is designed for selecting the appropriate path for data forwarding between cluster head and base station.
Directivity Improvement of Five-Element Yagi-Uda Antenna by Increasing Director Elements in Comparison with Three-Element Yagi-Uda Antenna
Authors: R Rajasekhar Reddy , R Swaminathan
Published: April 2022

The main objective of this project is to improve the directivity of Microstrip Yagi-Uda antenna by increasing the director elements in comparison to 3-element Yagi-Uda antenna. Materials and methods: In this project, we are using two groups 3-elements (Reflector-1, Dipole-1, Director-1) and 5-elements (Reflector-1, Dipole-1, Director-3) Yagi-Uda antenna with sample size of 20 (10 for 3 element Yagi and 10 for 5 element Yagi). Results: Directivity of 5-element Yagi-Uda antenna is increased by 1.55dB in comparison to 3-element Yagi-Uda antenna and attained significance ratio p(<0.05). Conclusion: 5-element Yagi-Uda antenna appears to have a better directivity (dB) compared to the 3-element Yagi-Uda antenna.
Issues and Challenges of E-Bazaar Implementation in Rural Rajasthan: A Review
Authors: Soni Yashpal , Gandhi Chabra Geeta , Goyal Dinesh
Published: April 2022

India is a country with cultural heritage rooted to its villages and livelihood. Indian cultural diversity facilitates many remarkable art forms and craft products. Along with other states, Rajasthan is a major stakeholder in this rich cultural heritage and industry like handicraft, pottery, khadi, etc. This sector of market is unorganized, decentralized, and a labor intensive cottage industry which has high potential in global space. To provide this unorganized sector marketplace, an e-commerce scheme with the name e-bazaar has been launched by the Rajasthan government. In this paper we review the current e-bazaar scheme of GoR, its impact, and its technical challenges while comparing it with other such platforms provided by government or non-government agencies.
Selective Reduction of Aromatic Nitro Compounds to Amines From Pd Doped TiO2 Catalyzed Nano Catalyst
Authors: G.O. Obaiah , K.H. Shivaprasad , Bhat Shrikanth K , M Mylarappa
Published: April 2022

An efficient chemoselective reduction of aromatic nitro compounds to corresponding amino analogs was achieved using palladium doped TiO2 (Ti0.97Pd0.03O1.97) nanoparticles. The reductions are effectively carried out in the presence of aromatic nitro compounds of various other reducible functional groups such as halo, alkoxy, carbonyl, and cyanide. The reduction of aromatic nitro compounds to aromatic amines was recognized with excellent yield (100%) by using nano porous palladium as a sustainable catalyst and as a hydrogen source. Reduced amines were well characterized using PXRD, 1H NMR, and 13C NMR, spectroscopy. The stability and efficiency of the catalyst for reduction of 4-Nitrophenol were repeated for 9 cycles and the recovered catalyst was analyzed by XRD.
Biological Synthesis and Characterization of Silver Nanoparticles by Orthosyphan Rubicundas
Authors: Reddy Manjunatha , Narasimhaswamy Nalina , KC Rohit , Be Rangaswamy , SG Divakar , Manokaran Sumathra
Published: April 2022

There are many metal nanoparticles, usually formed in the range of 1 to 100 nm size. Silver nanoparticles (AgNPs) have the unique properties of silver ions and hence are useful in molecular diagnostics, in therapies, as well as in devices that are used in several medical procedures. The use of plants in the production of AgNPs has drawn attention due to their rapid, eco-friendly, non-pathogenic, economical protocol, and a single-step technique for the biosynthetic processes. Though till date, many researchers have explored biosynthesis of nanoparticles using different species belonging to Lamiaceae. Orthosyphan rubicundas is the plant chosen from this family for the study as it is wildly grown in the as a weed and rarely studied in the nanoparticle synthesis.The silver-based compounds were used as known as non-toxic inorganic antibacterial agents expressing their biocidal properties in many application. For characterization of AgNPs, the physicochemical properties of nanoparticles were studied, which explained the detailed result of their behaviour, efficacy, safety, and biodistribution. Characterization is performed using a variety of analytical techniques, mainly including X-ray Diffractometry (XRD), Fourier Transform Infrared Spectroscopy (FTIR), Dynamic Light Scattering (DLS), Scanning Electron Microscopy (SEM), X-ray Photoelectron Spectroscopy (XPS), and Transmission Electron Microscopy (TEM).
Fuzzy Epidemic Model for the Transmission of Zika Virus
Authors: Selvakumar Sweatha , Sindu Devi S
Published: April 2022

Zika fever is a mosquito-borne infectious disease. The virus gets rid of the body eventually and it is not permanent. In February 2016, the Zika virus was declared a public health emergency by the World Health Organization. In this paper, we have constructed an SEIR-SEI model along with fuzzy parameters. The population is considered heterogeneous. The transmission rate and the recovery rate play a crucial role in the transmission of the Zika virus, which is uncertain and thus they are taken as fuzzy numbers and their corresponding membership function is considered as fuzzy parameters. Further, we study the equilibrium point, classical reproduction number, and the fuzzy basic reproduction number. The fuzzy basic reproduction number with the different virus loads is shown in this paper. The main objective of this paper is, by computing the reproduction value, we control the spread of the Zika virus in the future.
The Mediating Role of Health Anxiety and Corona Virus Anxiety in the Relationship between Personality and Depression Among General Population during COVID-19 Pandemic
Authors: A Madalaimuthu
Published: April 2022

Sustainable Development Goal-3 attempts to achieve health and well-being for all. Due to Covid-19 pandemic the general population across the globe have witnessed adverse mental health problems. This posed multiple challenges in ensuring wellbeing for all. In this context, this study is attempted to explore the relationship between big five personality traits and depression among general population during COVID-19 pandemic and the mediation role of health anxiety and coronavirus anxiety in relationship between personality and depression. Incidental sampling technique is utilized to collect the data using Google Form. Participants (N=216) filled up the questionnaires such as Big Five Inventory -10 Whitely Index 14, Coronavirus Anxiety Scale and Patient Health questionnaire–9. Results revealed that extraversion, agreeableness and conscientiousness factors of personality had negative relationship with health anxiety, coronavirus anxiety and depression where as neuroticism had significant positive association. Multiple regression analysis revealed that 9% of variance in depression can be explained by personality factors and 32.5% of variance was accounted by health anxiety and corona virus anxiety with respect to depression. Parallel mediation analysis indicated that extraversion factor had significant negative total effect on depression where as neuroticism factor had significant positive total effect on depression. The results and implications are discussed in the article.
Comparative Analysis of Threshold Multi-Keyword Search with Searchable Encryption of Reduced Computation Keyword Search for Cloud-Based Group Data Sharing
Authors: V Naga Bhargavi , K Sashi Rekha
Published: April 2022

To reduce the computation cost of multi-keyword search for cloud-based group data sharing. Materials and methods: Multi-Keyword Advanced Encryption Standard algorithm (MAES) and Searchable Encryption RSA algorithm (SERSA) was iterated 10 times (sample size =20) for calculating the computational cost of multi-keyword search. The Shamir’s Secret key technique used with MAES algorithm helps to reduce the computation cost of multi-keyword search. Results and discussion: MAES appears to have better reduced cost (1.86 sec) compared to SERSA algorithm (2.05 sec). There was a statistical significance difference between MAES and SERSA with the value p=0.026 (p <0.05). Conclusion: MAES algorithm with Shamir's Secret key provides better reduced computation cost of multi-keyword search compared to SERSA.
Detecting and Analyzing Emotions Using Text Stream Messages
Authors: Anusha Pureti , Sunitha T , Kale Mastan Rao
Published: April 2022

Emotions are the gateway to converse your point of view to others. Generally, you can express your emotions either by audio or writing or symbols. Amid of audio and writing, audio/voice is a persuasive method to communicate emotions. During this work, we can get these emotions through the audio of the human using a deep learning network. We are extensively classify the emotions of the humans into irate, quiet, disdain, dread, glad, nonpartisan, miserable, and shock for effective emotion prediction. The audio features define how the audio signal reacts to the disturbing influence perceptible throughout. Thus, these features play a vital role in recognizing the emotion in audio. We are applying MFCC (Mel-Frequency Cepstral Coefficients) to the audio information to extract these essential features. MFCC is the preeminent method to extract the features from audio. Moreover, to get exact features, we are applying increase methods to the audio information.
Predicting Popularity of Online Videos Using Support Vector Regression with Gaussian Radial Basis Functions
Authors: K Amrutha
Published: April 2022

A wide ranges of recently downloaded videos are economically significant when it comes to the capacity to forecast recent Top-N videos and their aspirations in life. Though numerous efforts have been made to predict video popularity, conventional algorithms do not have the efficacy to foresee top-class viewed videos compared with the whole video set. The truth that almost all videos in the online video system are deceptive is the reason for this occurrence. Thus models should learn to maximize their productivity across the whole video set in an uncomfortable way. The effectiveness of the top-N viewed content, therefore, is essential in most situations in the current study.
Awareness of Various Methods of Orthodontic Treatment Among Dental Students: A Survey
Authors: David Debarun , Ganapathy Dhanraj
Published: April 2022

To determine the knowledge among dental students on the various methods of orthodontic treatment. Orthodontics is the branch of dentistry that corrects teeth and jaws that are positioned improperly. Crooked teeth or teeth that do not fit properly are harder to clean, are at risk for early loss of teeth due to decay and periodontal disease, and cause extra stress on the chewing muscles that can lead to headaches and TMJ syndrome. Materials and Method: The benefits of orthodontic treatment include a healthier mouth, a more pleasing appearance, and teeth that are more likely to last a lifetime. A question survey was carried out through online containing 10 questions was sent to 118 dental students on awareness on various orthodontic treatment. Aim: An online survey was conducted using survey planet software and the data was collected and completely analyzed for statistical difference. Several studies undertaken to know the awareness of students or teachers regarding orthodontic treatment throughout the world. The present study was undertaken by the students of Saveetha Dental College, India. Within the limits of this study, it may be concluded that most of the students were aware of the various methods of orthodontic treatment, but we must keep updating our knowledge on different treatment for a better result.
Congestion Aware MANET Routing Using Evolutionary Game Theory and Cross-Layer Design
Authors: Thanappan Ramesh , Perumal Thambidurai
Published: April 2022

A wireless network without infrastructure is called MANET. In MANET, a node can move in any direction, at any speed, and at any time. There is no separate router on this network. Instead, the nodes act as a router. To transfer data in the network in an efficient manner, the network should be congestion-free or less congested. If the network has congestion, it would affect the performance of the network. In the routing process, if a node is aware of the neighbour node’s congestion and selects a congestion-free path, it leads to better performance of the network. In this paper, we have designed two approaches for improving the performance of the network. One is the cross-layer protocol and the other is the evolutionary game theory approach to find the least congestion path. Cross-layer involves transport layer and MAC layer of MANET to avoid congestion. The Linear Rank Selection method is one of the evolutionary game theory approaches used to find the Least Congested Node. We have enhanced this strategy in the GPSR protocol. The proposed EVO GPSR protocol performs 4.65% better throughput, 0.54% less network delay, 2.10% less routing overhead, and 8.20% better packet delivery ratio compared with GPSR protocol. Based on simulation, the performance of the proposed protocol is better than the GPSR protocol.
Yoga The Saviour From Mental Sickness
Authors: SeshanIyer Subramaniam , Ambad Ranjit , Kale Gayatri , Muley Parikshit , Gaikwad Amol
Published: April 2022

COVID – 19 pandemic has brought many problems after recovery. The problems ranges from body functions to all other small issues related to health. But the major impact of COVID – 19 has been on mental health resulting into suicidal tendencies in many patients. Due to lockdown in many parts of country, people have been in their home for a major part of time which has resulted into changes in their mental condition. Socializing has been minimal and going out to work also was hampered due to work from home. In January 2021, 41% adults have been reported with problems of mental fatigue. The efficiency has come down, the outcome of work has been to 80% - 85%, business has gone down because of less innovation and creativeness ability and other related problems.Yoga is giving an impetus to life for many, so to cope up withmental problems the various asanas is providing remedies which will be effective for the entire life. The asanas are being promoted by many yoga experts.
Predicting the Reviews of the Restaurant Using Natural Language Processing Technique
Authors: Raguraman P , Pravalika Yemineni Siva
Published: April 2022

Recommendation programs are finally being used to provide customers with a customized selection of services. To put it another way, they're set up to produce recommendations (such as restaurants or tourist attractions) that cater to the needs of the customer and may be used to a variety of situations. In order to make recommendation processes more efficient and effective, and to deal with any problems that may arise, a variety of helpful methods to data management may be used. In this article, a machine learning method is proposed to address the issue of customizing restaurant preferences based on tripadvisor.com search data. The hotel's services are used, and client feedback is taken into account.
Obesity and Hypertension: Review Article
Authors: Neeraj Abhishek Kumar , Kapse Ankita , Mahajan Gaurav , Kane Shriram
Published: April 2022

Weight problems are associated with extended extracellular fluid extent and better blood flow in a selection of tissues, resulting in improved venous return and cardiac output. Cardiac output will rise in step with expanded frame weight with faster blood deliver to the greater adipose tissue accounting for a part of the boom. The coronary heart, kidneys, gastrointestinal tract, and skeletal muscle tissues, among other tissues, see an growth in blood float. Some of the increased blood float is due to tissue and organ development due to the higher workload and metabolic demands that come with weight problems. Blood glide in tissues, which include the kidneys, skeletal muscle, and coronary heart, improves in overweight women and men, even though blood float is measured in line with gramme of weight. Conclusion: A weight problem is a chief threat element for vital high blood pressure, diabetes, and different comorbidities that contribute to kidney disorder development with the aid of increasing tubular reabsorption, affecting pressure natriuresis, and selling extent growth thru the activation of the SNS and RAS. A weight problem is a first-rate chance element for essential hypertension, diabetes, and other comorbidities that contribute to kidney ailment improvement. Obesity additionally causes cardiovascular and renal issues via a diffusion of pathways, including hypertension, hyperglycemia, infection, dyslipidemia, and atherosclerosis, all of that may coexist, in particular whilst extra visceral fats is present, main to metabolic syndrome.
A Review Article: Prenatal Nutrition and the Risk of Adult Obesity
Authors: Rai Kashish , Makade Jagdish , Kapse Ankita , Joshi Abhishek
Published: April 2022

A tremendous quantity of studies has collected in current years suggesting that early food plan and way of life have long-time period outcomes on next fitness and sickness ("developmental or metabolic programming"). Researchers operating at the European Union-funded worldwide Early Nutrition studies mission compiled clinical proof and current hints to expand consensus vitamins and way of life hints for ladies earlier than and throughout pregnancy, infancy, and early youth that don't forget long-time period fitness outcomes. Systematic critiques of posted nutritional suggestions, standards, and hints had been conducted, with a focal point on long-time period fitness implications. Furthermore, systematic critiques of posted systematic critiques of nutritional interventions or exposures in pregnancy, babies, and younger youngsters as much as the age of 3 years that document outcomes on next overweight, weight problems, and frame composition had been conducted. Experts got here up with consensus proposals primarily based totally at the numerous information of any other 33 stakeholder. CONCLUSION: In order to enhance foetal increase and improvement even as heading off maternal morbidity, vitamins in pregnancy call for a cautious stability of each best and quantity of consumption. MTHFR genetics, diet C, diet E, and iodine dietary supplements are all warm subjects within side the clinical network proper now. Early intervention thru healthcare advertising of a diversified, nutritious food plan, appropriate way of life behaviours, and using dietary supplements or fortified meals as endorsed through the RCOG and FIGO.
FinTech: The New Normal Functioning of Financial Sector
Authors: Saha Soumen , Kansal Amit
Published: April 2022

Financial technology has the potential to transform the financial market fundamentally. The financial landscape of any economy provides variety of product and services at competitive price. Technology reduces the information cost and thereby enable to choose the product of their choice efficiently. The regulators and the policy makers need to monitored, evaluate the performance and work of FinTech, and implement their policies accordingly, taking care of the risks of the stakeholders involved, financial stability and integrity. The study deals with the characteristics of the FinTech industry globally and in India. The study analyses the impact of the COVID-19 pandemic in this sector and also indicates the prospect of FinTech as the new normal. The paper argues that in the ongoing pandemic FinTech has helped financial market to adjust its operations and services and promoted delivery of financial assistance to vulnerable segments of society with error free, low cost, and timely delivery.
A Case Report On Most Common Neurological Symptoms Of Dural Venous Sinus Thrombosis
Authors: Kamble Ravi , Tivaskar Suhas , Luharia Anurag , Christian Ravi
Published: April 2022

Background- Dural venous thrombosis is the serious neurological disorder occurs due to clotting of blood within the venous sinuses of the brain. It is known as cerebral venous sinus thrombosis (CVST). The clot prevents blood from leaving the brain. As a result, the blood arteries become clogged with pressure. This can cause brain enlargement and bleeding (haemorrhage). This sequence of events is part of a stroke, which can affect both adults and children. Even newborns and kids in the womb are susceptible. The brain and central nervous system can be damaged by a stroke. A stroke is a serious condition that necessitates prompt medical attention. Cerebral Sino-Venous Thrombosis is another name for this disorder. The patients may suffer with severe headaches, vision problems, any of the stroke symptoms, such as weakness on one side of the body's face and extremities and seizures. All are possible signs when thrombosis occur in the dural sinuses. Computed tomography (CT scan) or magnetic resonance imaging (MRI) are routinely used to diagnose venous sinus occlusions. Case presentation: We present a case of 30-year-old male patient with the complaints of left sided headache in the last 7-8 days. The patient has the history of seizure episode associated with dementia. Also, it has the complaints of pain on the left sided upper and lower limb, paraesthesia lasting for 30 min to 1 hr. The diagnosis was done with the help of blood tests, hormonal tests, and magnetic resonance imaging (MRI).
Scrub Typhus Presenting as Severe Thrombocytopenia
Authors: Agarwal Anshu , Acharya Sourya
Published: April 2022

Scrub typhus is a zoonotic disease caused by Orientia tsutsugamushi. A rare finding of scrub typhus with thrombocytopenia has been reported in very few cases. Thrombocytopenia is usually complicated with multi-organ dysfunction and high mortality rate. Here we report a case of a diagnosed scrub typhus infection with severe thrombocytopenia and management of such a case.
Biomarkers of Pulpal Regeneration: Overview on Immunohistochemistry Analysis
Authors: Kishan Shetty Ashmitha , Joy Serene , Biligowda Manasa Latha , Hussain Siddique Sha Muhammed
Published: April 2022

Immunocytochemistry (IHC) is a method that uses monoclonal and polyclonal antibodies to determine the tissue distribution of an antigen of interest in health and disease. The method of recognizing a tissue component in situ utilizing unique antibody-antigen interactions in which the antibody is precisely labelled is referred to as IHC. It can be used to identify and localize well-known cellular structures and also extracellular matrix components. This method similarly provides information on the temporospatial distribution of newly discovered carbohydrates and proteins in development, illness and health. Endodontics can use IHC as a diagnostic tool and a potential marker for odontogenic tissues. Although histopathologic examination of periapical lesions reveals the true nature of regenerative tissue, immunohistochemical markers can be utilized to refine the tissue's composition.
Studying The Influence Of Hydrostatic Pressure On The Plastic Deformation Of Large Water Tanks
Authors: Majdi Hasan Shakir , Hadi Auday Shaker , Habeeb Laith Jaafer , Zivkovic Dragoljub
Published: April 2022

Hazardous liquids require storage tanks with distinctive specifications that are stored securely, so as not to expose the environment to problems and risks of pollution, and thus the current study was prepared to verify the total deformation, the equivalent elastic strain, and the effects of von Mises stress on a storage tank of a certain geometry but under liquid load and temperature different temperature. The tank was designed with precise engineering and was tested under different temperatures designated at 10 oC, 22 oC and 34 oC. Under each degree, water was placed in a different capacity in four levels, represented by a quarter of the tank, half of it, and three quarters and filling it completely. It was found that with the different temperatures and the different percentage of water in the tank, there was a change in the amount of total deformation, the equivalent elastic strain and the effects of von Misses stress on the tank.
COVID-19 Contagion Detected by Using Wearable Sensor
Authors: M Aathi Pavithra , R Kawya Sri , B Manikandan , S Prathap
Published: April 2022

A novel coronavirus is a coronavirus strain that hasn't been seen before. Coronavirus infection 2019 refers to a sickness caused by a single coronavirus. Wuhan, China, was the first discovery site. (COVID-19). The COVID-19 virus could be a one-of-a-kind virus related to respiratory disorders and various common colds. Direct contact with an inflamed person's respiratory droplets (which can be formed by coughing and sneezing) and contacting virus-infested surfaces are also ways for the virus to spread. The COVID-19 virus can survive for hours on end on surfaces. COVID-19, together with different viral illnesses, is related to numerous physiological modifications that may be monitored the usage of wearable sensors. Many metrics derived from coronary heart rhythm, together with coronary heart price (HR), coronary heart price variability (HRV), resting coronary heart price (RHR), and breathing price (RR), should function ability markers of COVID-19 infection. Additionally, modifications in electrocardiogram (ECG) waveforms should incorporate records indicative of an infection. Many wearables track more difficult metrics, including stress, recovery, exercise, and sleep, which are often calculated using a combination of cardiac and accelerometer data. Because of the high prevalence of fever and metabolism symptoms in COVID-19, core temperature and blood vessel O saturation (SpO2) are critical. In addition to chest radiography and computed tomography machines, there are also deep learning detection methods and portable devices. Remote monitoring of COVID-19 and non-COVID patients using wearable sensors, IoT, and telemedicine to assess their condition and reduce the risk of cross-infection.
Simulation of Piezoelectric in Engine Knock Sensor with Different Frequency Modes
Authors: Shijer Sameera Sadey
Published: April 2022

A numerical study on deformation piezoelectric sensors is described in this study. Major objectives of this research are to compare the impacts of direct current voltage on piezoelectric structure, the effects of direct current voltage on the resonance frequency of piezoelectric knock sensors, and the effects of these parameters on the sensitivity and accuracy of the sensors. The impedance properties of the transient structure are studied under different engine operating conditions and in relation to various forms of sensor damage. Determining the degree of damage sensors and the prediction quality of the piezoelement within the sensor may be accomplished by measuring material flaws and fluctuations in material coefficients that are connected to the frequency characteristic of the sensor. To some extent, the preceding can be used in the calculations of several structural parts of knock sensors. On a prototype knock sensor, ranges of modes were tested using piezoelectric elements with varying numbers of cracks. In this work, it has discussed seven scenarios of frequency analysis to examine the piezoelectric in engine knock sensor with different electricity modes of operation. These scenarios include the engine normal operation mode, start engine operation mode, and different frequency of operation mode (2Hz, 200Hz, 2KHz, 20KHz, 200KHz).
Epidemiology and Outcome of Open Globe Injury in Geriatric Age Group at Tertiary Hospital (Rural) in Vidarbha Region of Maharashtra
Authors: Saoji Chetan , Sadavarte Tejas , Muley Sonal , Kanfade Ekanksha
Published: April 2022

The aim of the study is to look into the epidemiology and outcomes of open globe injury (OGI) in geriatric age group at tertiary hospital (rural) in the Vidarbha region of Maharashtra. Materials and method: a prospective study was done on 46 eyes of 46 patients of more than 60 years of age with OGI who presented to Shalinitaimeghe Hospital & Research Centre (SMHRC), Nagpur, from 20th Dec. 2019 to 20th Dec. 2020. The following data was gathered: patient’s profile, cause of injury and mechanisms, visual acuity (va) at presentation, clinical characteristics, and final va. Results: a total of 46 eyes of 46 patients were included. Of these, 32 (70%) were male and 14 (30%) were female. Conclusion: There is a need to highlight socio-economic and the medical problems that are faced by elderly people in India. Poor visual acuity, rupture globe, Zone 3 injuries, history of penetrating keratoplasty, retinal detachment, vitreous haemorrage, and dislocation of crystalline lens were found to be poor prognostic factors.
Structure Of Coronavirus
Authors: Wagh Pankaj Wagh , Raut Rohit , Kumbhalkar Suraj , Kanojiya Deepak R
Published: April 2022

Background: Coronavirus illness is a new pathological ailment that is sweeping the world. Sars (severe acute respiratory syndrome) the virus that causes it is coronavirus 2. (sars-cov-2). The sars-spike cov-2 protein (s) has two subtypes: s1 and s2.it is vital to the recognition of receptors and the fusion of biological membranes that the (s) component of the sars-spike cov-2 influenza is present. Covalent coupling of the transcription factor domain of the s1 component to the host ligand binding of angiotensin-converting enzyme 2 allows it to function , whereas the s2 subunit's two-helix recurring domain enhances the attachment of the virus to cells. In this appraisal, we high spot topical expansions in the edifice, function, and advance of antiviral medications that target the s protein. There has been an explosion of viruses that have been creating a new beginning in recent years such as coronaviruses (covs). Human and animal hosts have been infected with these pathogens, causing disorders that range from upper respiratory tract infections in humans to encephalitis and demyelination in animals, which are all potentially life-threatening. From across the world, they've killed many people and animals, and caused havoc in the healthcare system. The current threat from coronaviruses (covs) is among the most horrifying illnesses .
Mechanical and Characterization Behavior of Light Weight Aggregate Concrete Using Sintered Fly Ash Aggregates and Synthetic Fibers
Authors: R Ramasubramani
Published: April 2022

This study focuses into the usage of sintered fly ash aggregate in the production of lightweight concrete. To minimize the environmental impacts would alleviate the waste disposal issues related with fly ash and contribute in the decrease of environmental pollution. Construction materials are in high need in the domestic sector, which is growing increasingly rare day by day. In India, the power sector is currently reliant on thermal power plants, which generate a massive amount of fly ash, estimated to be roughly 200 million tons each year. Fly ash is a waste product produced by thermal power stations when pulverized coal is burned. The use of industrial waste as a building material is a significant step towards long-term sustainability. The mechanical characteristics of sintered fly ash aggregates were discussed. According to the results, the specific gravity of these aggregates is 16–46% lower than that of regular weight aggregates, and they have higher water absorption. The 28-day comp strengths of sintered fly ash aggregate concretes range from 27 to 74MPa, with densities ranging from 1651 to 2017 kg/m3. According to the study, sintered fly ash aggregate concrete is also one of the materials that might be used to develop structural concrete. Sintered fly ash aggregate was used to replace natural aggregate (12%). The compressive, tensile, and flexural strengths of concrete produced with natural aggregate and sintered fly ash aggregate were compared. Also, concretes were conducted to a microstructure test and a SEM analysis.
A Systematic Review on Implications of Biophilic Design as a Salutogenic Approach to Wellness Tourism
Authors: Sachin Ankita , Dash Shanta Pragyan
Published: April 2022

In today's configuration of urban lifestyles, health and well-being have a multi-faceted impact on human lives and have gradually influenced tourism trends. The prevalence of COVID-19 has affected both physical and mental well-being. In this context, health has emerged as a significant component of tourism. Existing literature divides health tourism into two distinct types, namely, medical and wellness tourism. The presence of direct and indirect strategies linking individuals to the natural environment have been known to impart restorative benefits and significantly contribute to human well-being. However, recognition of potential correlations between tourist rehabilitation and biophilic design as a salutogenic model is limited with respect to wellness tourism, resulting in a lack of guidance for architects and designers. This paper aims to summarize prevailing literature on health benefits of biophilic principles through a systematic literature review, followed by compilation of a comprehensive conceptual framework. The research shall aid as a reference in utilizing restorative implications of the human-nature relationship in planning and designing of wellness tourism projects in the Indian context.
MANET Based Emergency Communication System Design During Disaster and Post Disaster
Authors: M Selvaganapathy , Nishavithri N. , Prabakaran P. , Manikannan G.
Published: April 2022

In the event of a natural disaster most of the communication networks become unavailable either because of damages sustained to the infrastructure such as antennas and other communication devices or because of power failure. During these times, communication plays a vital role in keeping the people informed about post disaster effects in the affected areas. There are two aspects in this circumstance. One is to immediately locate the affected persons and provide emergency assistance. The other is to offer calamity release during and after the disaster. The conventional method of establishing communication is usually done by establishing emergency command center and hosting the entire essential telecommunication infrastructure to provide communication between members of the search and recovery teams. This type of solution is expensive, tough to maintain, and the level of reliability is low. Because of these reasons the efficiency of the system is less. For improving the effectiveness of the communication during the times of natural calamity is to implement a communication system that does not rely on infrastructure based equipments. The proposed system makes use of Mobile Ad-Hoc Network (MANET) based communication. The proposed system also incorporates Global Positioning System (GPS), a satellite based location detection system that could be used to pinpoint a particular person who is in distress. Geographic Information System (GIS) and Remote Sensing (RS) are essential for effective preparedness, communication, and training tool for calamity management.
Effect of Pre-Analytical Errors on Turnaround Time of Central Clinical Laboratory: A Study Protocol
Authors: Pankawase Jitesh M. , Shinde Vitthal
Published: April 2022

Clinical laboratories are crucial for medical care and recovery because they have evidence from body fluid analysis. Laboratory observations are used to make the majority of medical decisions. As a result, clinical lab results must be precise and timely. Laboratory quality management systems must include the influence of pre-analytical procedures in regions, including non conformance detection and control, continuous upgrade, internal audit, and quality indicators in order to be accredited as per ISO 15189:2012. Quality assurance (QA) has risen to the top of the priority list as a major source of worry. In terms of QA, "errors" in lab services are the most significant category that laboratories constantly monitor and assess. It is the responsibility of the clinical laboratory to provide precise and punctual results. The pre-analytical phase, on the other hand, is directly connected to the specimen collecting method and is mostly out of the laboratory's direct control; additionally, the majority of pre analytical mistakes are caused by human errors. As a result, the most essential and required methods to prevent these mistakes are phlebotomy team education and training programs. In this article, we have observed the effect of pre-analytical errors on turnaround time of central clinical laboratory of the hospital and also discovered the way to decrease the pre-analytical errors of inpatient samples.
A Facile Synthesis of High Performing MnxOy-Rgo Hybrid Composite for Potential Supercapacitor Application
Authors: Tisha Sanjida Afrin , Shakil Ragib , Tarek Yeasin Arafat , Firoz Shakhawat H.
Published: April 2022

In this study, the facile synthesis procedure of MnxOy-rGO hybrid and the variation of its electrochemical performance on varying the KMnO4 concentration have been elucidated. The as prepared hybrid was synthesized by adopting a one-step hydrothermal process at 180°C for 24h. The controlled growth of mixed manganese oxide (MnxOy) was achieved for 0.5 mM KMnO4, and it showed a specific capacitance of 280 Fg-1
at 1 Ag-1 current density using 0.5 M Na2SO4 electrolyte. The incorporation of the MnxOy into the conductive rGO layers successfully prevented the self-agglomeration of rGO nanosheets. It was found that an appropriate incorporation of MnxOy provided the fast electrolytic ion transportation in and on between the rGO layers by reducing the solution resistance, (Rs) down to 4 ohm (Ω). Hence, it is expected that the synthesis procedure for the fabrication of MnxOy-rGO has prospects as the high performing supercapacitor electrode materials.
Temperature-Induced Phase Transitions of Fe-Ga Alloys for Sensors
Authors: Vijayanarayanan V. , Basumatary Himalay , Manivel Raja M. , Aravindan V. , Mahendran M.
Published: April 2022

Slow cooled arc melted Fe-Ga alloys with different compositions were characterized. GI-XRD confirms the BCC structure and existence of single phase A2 in 17 at.% of Ga and multiphase A2 and L12 in 30 at. % of Ga. The Ga defects migrates during annealing and reduces the lattice. The Galfenol alloy with the 30 at.% of Ga has an A2 phase around 400 oC and an L12 phase around 560 oC. The formation of the L12 structure is due to an exposure in high temperature region. The magnetostriction of Fe83 - Ga17 and Fe70 - Ga30 alloys seems to be 64 and 27 ppm. Decrement of magnetostriction is due to change in anisotropy coefficient.
A Mini-Review On The Current Scenario Of Quinoline Scaffolds For Antimalarial Activity
Authors: Ilakiyalakshmi M , Napoleon Ayyakannu Armugam
Published: April 2022

Antimalarial agents are an important key for the prevention and eradication of malaria. The heterocyclic aromatic quinoline scaffold is a favored structure in drug development because its derivatives have a wide range of biological properties. The quinoline family contains a lot of antimalarial agents like chloroquine, piperaquine, quinine, etc. Chloroquine had been a significant antimalarial agent for more than five decades. To enhance the efficacy in malarial treatment a new system of several other quinoline-based drugs has been synthesized. This mini-review intends to provide a literature overview of antimalarial compounds containing a quinoline core, encompassing papers from 2018 to the present along with the synthesis and pertinent figures. It could be useful for researchers to design more effective antimalarial drugs in the future.
Server Load Balancing Analysis for Client Task Assignment in Distributed Systems
Authors: Johari Kushal , Agarwal Gaurav KUMAR , Arya Y. D.S.
Published: April 2022

The client-server model is widely used in many distributed systems in which proper assignment of client is an important factor for the better performance of system. A large number of clients may exist in a distributed system that establishes communication with one another through a variety of intermediary servers. The primary objective of the overall system is to allocate clients to servers to maintain the load balancing as well as communication cost. There are two criteria for server load evaluation. The first one is complete load, followed by task scheduling, with complete load and task scheduling being diametrically opposed measurements. It seems to be NP-hard to figure out the appropriate client-server allotment for a distributed system's total load and load balancing. In this research, we examine distinct server load balancing strategies for the assignment of clients in distributed systems.
In-Silico Analysis of the Binding Affinity of 1-DNJ Compound from Mulberry Plant Against Caries Causing Enzymes
Authors: G Dhananjaya , Mathew Sylvia , Raja Deveswaran , P Parasuram
Published: April 2022

Dental caries is a chronic disease and is unique among humans and is caused due to the accumulation of biofilm, which is characterized by microbial activity. Streptococcus mutans releases enzymes like SortaseA, which play an important role in the adhesion of bacteria to the tooth surface. Mulberry, a natural product has shown anti-cariogenic activity, which may be because of various compounds present in the plant extract. One such compound is 1-DNJ, an alkaloid shown to suppress S.mutans. In the last few decades, docking analysis has been used to get an insight into mechanism of action of test compounds. In the present study, we explored to analyze the in-silico interaction of 1-DNJSortaseA complex and found the compound to be effective in the inhibition of adherence of S.mutans.
Locking Device for Physical Protection of Electronic Devices
Authors: Kaushal Rajesh Kumar , Kumar Naveen , Singhal Shilpi , Singh Simranjeet , Singh Harmaninderjit
Published: April 2022

The physical security of electronic devices like laptops and tablets is vital as these devices carry confidential data which cannot be compromised. Data security can be provided through a number of innovative ways. The first line of defense is physical security. As far as physical security is concerned, there has been very little development to date. This research is focusing on the physical security of data storage devices. To provide physical security to laptop devices this work proposes a locking assembly for various electronic devices like laptops and tablets. The assembly includes a frame adapted to be coupled to a base of the one or more electronic devices. This locking assembly ensures the safety of devices against any possible theft or unauthorized usage. The design of this locking assembly presents a cost effective, easily available, and simpler to assemble, easy to manufacture and durable solution to the theft problems. A detailed analysis of the proposed design has been conducted which provided an insight of efficiency and usability of the locking mechanism. The mass properties of the model have been computed after assigning the standard material (aluminium) to various components. The mass of the locking assembly has been estimated as 0.5 Kg and the volume is 0.002 cubic meters.
Quality of Life of Patients with Cardiovascular Disease in Relation to Their Anxiety, Illness Perception, and Personality
Authors: Suryasree K , Kadhiravan S
Published: April 2022

The United Nations has urged for measures to minimize premature mortality from non-communicable diseases such as cardiovascular disease (CVD) through prevention and treatment, as well as to enhance mental health and well-being, as part of its Sustainable Development Goals. The quality of life of numerous people is impacted by CVD, which had an impact on their subjective well-being both physically and psychologically. The present study has been attempted with an aim of understanding the determinants of quality of life among patients with CVD. Two hundred patients with CVD were selected from Salem district of Tamil Nadu through incidental sampling. The illness perception, personality, anxiety, and quality of life of the CVD patients were measured with the help of appropriate tools. Analysis of data revealed that quality of life was significantly related to anxiety and personality traits of patients with CVD. The control and consequence dimensions of illness perception were found to be the significant predictors of quality of life among patients with CVD. Structural Equation Modeling (SEM) determined that illness perception and personality factors had a significant influence on quality of life. The results and implications are discussed in the article.
Smart System Using Lora Technology to Connect Rural Areas Underserved By Existing Internet and Telecommunication Technologies
Authors: Jayasekara Pubudu Sanjuka , Gurusinghe Tharindu Niroshan , Wijesooriya Hiruni Eranga , Seneviratne Jehan , Ranaweera Aruna , Jayathilaka Charith , Wijesundera RP Palitha , Kalingamudali Sudath
Published: April 2022

LoRa, Sigfox, and Narrowband-Internet of Things (NB-IoT) are some of the long-distance, low-power wireless communication technologies developed in the recent past. The proposed system consists of mainly nodes and a gateway as the fundamental system architecture. Nodes only communicate with the gateway individually and the gateway communicates with all the nodes separately and wirelessly. System in this proposed study, uses long range low power RF wireless communication technique for primary data communication, where an Internet connection will not be required for the communication between the gateway and the nodes. Any number of nodes can be paired with the gateway, and the gateway can individually communicate with each and every node. Furthermore, gateways have the ability of storing real-time data. Due to its unique design, the proposed system in this study, can achieve addressable, bidirectional, and continuous data communication even without the Internet connection. The bidirectional communication design of this proposed system facilitates real time and uninterrupted simultaneous handling of monitoring/sensor devices and controller devices without the need of a separate controlling system. As this system consists of those unique features, it is recommended to use in the rural areas underserved by current internet and telecommunication technologies. With the in-built option to get connected to the Internet, this system can be further expanded to an IoT based addressable data communication, processing, and visualization systems by eliminating the major technical problems in typical IoT systems such as interrupted communication and data losses during an Internet connection failure, power concerns and customization issues.