bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of Cardiac Markers in Myocardial Infraction Parameters before and after Treatment
Authors: Suthar Purnima , Shinde Vitthal , Ambad Ranjit , Kane Shriram Kane , Ramdas Patil BhagatArvind
Published: April 2022

INTRODUCTION: - Heart failure is the last stage of a number of cardiovascular diseases in which the heart's capacity to deal and rest weakens. It's frequently referred to as a clinical disease with distinct symptoms and signs. During the pathophysiological process, a multitude of substances, hormones, and proteins are released into the bloodstream, and they can later be used as diagnostic biomarkers. CVD is the primary cause of death worldwide, According to the World Health Organization (WHO). That equates to over 4 million deaths each year in Europe, or 45% of all deaths (WHO).AIM: - To study of cardiac markers in myocardial infraction patientsMATERIAL AND METHODE: - This study included total 50 patients. Comes in IPD Department of Medicine and Department of Biochemistry Dr.Ulhas Patil Medical College and Hospital Jalgaon, in collaboration with Datta Meghe Medical College, Shalinitai Meghe Hospital and Research Centre, Nagpur, and Jawaharlal Nehru Medical CollegeWardha, MaharashtraRESULT:-Comparison between cardiac markers before and after treatment in MI patients the values are shows that compare before subjects the values are decreased in after subjects the data shows that statistically significant P-values are less then P < 0.0001.CONCLUSION: - Our findings show that when tropo-T, I, myoglobin, and CK-MB (accumulation) are utilised in concurrence with a specified time period, they provide adequate diagnostic sensitivity. The combination of these indicators can provide doctors with useful information in when diagnosing AMI
Green Synthesized Fluorescent Nano-Carbon Derived from Indigofera
Tinctora (L.) Leaf Extract for Sensing of Pb2+ Ions
Authors: Joseph Neethu , B Manoj
Published: April 2022

Plant-based synthesis of nanomaterials is a more reliable method since it is easy, quick, and environmentally friendly, and it does not require any specific conditions, unlike other methods. For the first time, we report the sensing of metal ions using a fluorescent nano-carbon material via a plant-based synthesis from the medicinal plant, Indigofera tinctora (L.) (IBLH). This nanomaterial from the leaf extract of IBLH was synthesized by hydrothermal assisted green synthesis method. The as-synthesized sample was characterized by various spectroscopic techniques for confirming the formation of nano-carbon material. Optical studies revealed that IBLH was influential in determining toxic heavy metal ions (Pb2+). Detection of Pb2+ was observed from a range of 1M to as low as 1nM using IBLH as the probe. Stern-Volmer plot exhibits the progressive detection of the metal ion, proving that the IBLH nano-carbon material is capable of progressive sensing of various heavy metal ions.
Integrating Advanced Statistics to Predict the Outcome of National Basketball Association Games with Machine Learning
Authors: J Krishnan Nakul , Suresh Rishab , Vashisht Somya , S Saligram Sachin , DAS Sunanda
Published: April 2022

Sports stats and analysis has been propelled by sports fans through the ages. It has evolved into a much more complex and technologically advanced system of statistical encapsulation. Due to a plethora of data available and computerization of these data, the demand for sports advice and evaluation has drastically increased. The National Basketball Association (NBA) has acclimatized to these standards. In this study, win-loss percentage for hybrid basketball game scheme was calculated using designed features. The study takes 10 NBA seasons into account ranging from 2010-2021. Using 3 seasons of NBA data was deduced to be the right method. Hence, this can help calculate an accurate model for the season to follow. The final win-loss percentage was predicted by logistic regression, artificial neural networks (ANN).
Review Article on Coronary Artery Disease
Authors: Bhosale Aryan S , Chandankhede Manju , Dawande Pratibha
Published: April 2022

Coronary Artery Disease (CAD) is a dangerous condition caused by the formation of plaque in the blood vessels, which leads to a decrease in blood flow to the heart and causes chest pain. High blood pressure, smoking, diabetes, lack of exercise, alcoholism, high cholesterol, and poor diet are major causes. CAD is more common in older adults, and men are more likely to develop it than women. Heart attack, shortness of breath, and chest pain are all symptoms of CAD. Conclusion: CAD is a very serious and rapidly growing disease in India. It is most common in the elderly, men, smokers, and people with a family history. To prevent this condition, a healthy diet and regular exercise are recommended.
A Review on Additive Manufacturing Technology
Authors: Mhetre Gurudev N , Jadhav Vijay S , Deshmukh Suhas P , Thakar Chetan M
Published: April 2022

Additive manufacturing is a new, rapidly emerging technique in the industrial sector. This is the process of creating parts by adding layer by layer material, hence it is called as 'Layer Manufacturing Process.’ This process is also called ‘Rapid Prototyping’ or ‘3DPrinting.’ This is a tool-less manufacturing method that produces parts in less time and with high precision. This process provides freedom for designing the parts and their complexity. Additive manufacturing has many advantages over conventional manufacturing processes like low production cost, no residual stresses, no wastage of material, etc. Nowadays, so much research work is going on in this additive manufacturing field. This manufacturing technology is going to replace the conventional manufacturing techniques in the upcoming days. In this paper, we discuss about the various additive manufacturing methods, its principles, applications, advantages, and challenges to industrial use.
Investigation of Structural, Electronic, and Optical Properties of CdAg2GeSe4 and HgAg2GeSe4
Amazing Photocatalyst Regarding with ZnAg2GeSe4 and a Comparative Study by DFT Functionals
Authors: Alam Md. Monsur , Chakma Unesco , Kumer Ajoy , Islam Md. Shariful , Khandaker Nusrat Zahan , Hossain Tomal , Chakma Purak , Uddin Jamal
Published: April 2022

CdAg2GeSe4 and HgAg2GeSe4
have been designed by replacing the Zn atom by Cd and Hg atom of ZnAg2GeSe4 for computational studies through first principle methods. In the beginning, five DFT functionals, such as GGA with PBE, GGA with RPBE, GGA with PW91, GGA with WC, and GGA with PBEsol, were used to calculate the electronic band structure and structural geometry for ZnAg2GeSe4, CdAg2GeSe4, and HgAg2GeSe4, and bandgap is at 0.84 eV, 0.92 eV, 0.68 eV, 0.78 eV, and 0.69 eV, with PBE, GGA with RPBE, GGA with PW91, GGA with WC, and GGA with PBEsol, respectively for ZnAg2GeSe4. The optical properties were calculated, and make a comparative study among ZnAg2GeSe4, CdAg2GeSe4, and HgAg2GeSe4. Finally, GGA with PBE is the most acceptable method, and HgAg2GeSe4 shows higher absorption up to the convenience energy region of the photocatalyst.
The Effect of Training and Work Environment on Employee Performance and Job Satisfaction As Intervening Variables in Pt. Mayora Cibitung
Authors: Siregar Edi , Sitorus Guston
Published: April 2022

This study aims to analyze and examine the effect of training, work environment, and job satisfaction on the performance of employees of PT. Mayora Cibitung with a sample of 210 people who were randomly selected from the total population of 411 employees. Data for each variable was collected separately by filling out a questionnaire by the respondent. The path technique is applied to analyze data that has previously been processed by aggressive procedures and correlations. These results prove that employee performance is directly affected by training, work environment and job satisfaction are in turn influenced by training and work environment. The findings show that variations in employee performance are influenced by training, work environment, and employee job satisfaction which are considered in strategic planning for human resource development at PT. Mayora Cibitung.
Battle with Cancer: Prevalence in Different Districts and What Needs to Be Done?
Authors: Das Ritwik Raj , Dawande Pratibha , Gursale Ashay
Published: April 2022

Cancer is characterized by abnormal gene function and aberrant patterns of gene expression. A growing body of data suggests that acquired epigenetic aberrations work in concert with genetic changes to generate this deregulation. According to a WHO research, India saw 1.16 million new cancer cases in 2018, with one out of every ten Indians developing cancer at some point in their life and one out of every 15 dying from it. According to the study, tobacco-related head and neck cancers are frequent in India, especially oral cancer in males and cervical cancer in women, and both cancer types are linked to lower socioeconomic position. Conclusion: Tobacco use is becoming a leading cause of cancer in the North East, and it is estimated that tobacco use is responsible for 22% of cancer deaths worldwide. A comprehensive cancer control program is the need of the hour to prevent this vibrant region from becoming the cancer capital of the nation.
An Enhanced Item-Based Collaborative Filtering Approach for Book Recommender System Design
Authors: Verma Monika , Rawal Arpana
Published: April 2022

The massive amounts of web-sourced data have made accessibility of precise (tailored) information for end-users a challenging task. If this personalized information-filtering technology is possibly thought to get automated at the machine level, this necessitates the design of an appropriate machine-assisted recommender system that suffices both system and end-user requirements. This paper attempts to make use of an innovative hybrid approach to build a prototype of a machine-assisted recommender that can be used as a tool in the physical library of universities, organizations, and institutions. In this manuscript, an Enhanced Item-Based Collaborative Filtering Approach for Book Recommender System Design is proposed to predict the popular books based on the transactions found in the issue/return transaction database. Demographic attributes of books are used for the precise calculation of item-item similarity with cosine/correlation coefficient by discovering all significant associations rules in the formulated item set and it provides the recommendations. The proposed algorithm’s performances are calculated based on accuracy, precision, and recall.
Functionalized Iron Oxide Nanostructures: Recent Advances in the Synthesis, Characterization, and Electrochemical Biosensor Applications
Authors: Patel Md Saad , M Sudeep , Rahman Faisal Abdul , B Abhishek , BW Shivaraj , Chaudhary Vishal , C Manjunatha
Published: April 2022

FBiosensors play a significant role in the process of early diagnosis of non-communicable disease. In the global market, biosensors are valued at over 25.5 billion USD in 2021. Screen Printed Electrodes were traditionally used for biomolecule detection, but due to their poor stability and low conducting properties, they have been replaced by Glassy Carbon Electrodes, which exhibit excellent stability and reusability, only few works have been reported in glucose detection. The objective of this review is to provide an overview on the synthesis iron oxide nanoparticles and their composites developed for the electrochemical applications by various research works. The iron oxide and their composites of suitable morphologies at nanoscale dimensions prepared by various methods and conditions were compiled. The characterization results of all the samples obtained by X-Ray Diffraction, Scanning Electron Microscopy, Fourier Transform Infrared Spectroscopy, and Raman Spectroscopy were discussed in detail. The sensing efficiency of nanoscale iron oxides, when they are functionalized/combined with carbon nanotube, polyamidoamine dendrimer, Cellulose Nanocrystals, Terephthalic acid, Polyaniline, etc. were discussed in detail. The requirement for the development of more suitable electrochemical sensors for glucose, ascorbic acid, dopamine, and uric acid were proposed. The most suitable functionality for the iron oxide to is proposed for the development of efficient electrochemical sensor. Finally, the review provides the summary of the iron oxide nanomaterials, current challenges, and future scope of electrochemical sensors.
Chlorophyll-a Characterization of
Chlamydomonas reinhardtii
Using Absorbance Fluorescence Spectroscopy and Portable LED Fluorescence Lidar System
Authors: Cadondon Jumar , Vallar Edgar , Shiina Tatsuo , Galvez Maria Cecilia Dandan
Published: April 2022

With the increasing reports on algal blooms in the Philippines, we aimed to characterize chlorophyll-a pigment of C. reinhardtii using a portable LED fluorescence lidar system. C. reinhardtii was prepared using BG-culture media with controlled cultivation parameters. Chlorophyll-a pigment measurements were conducted using optical density and EEM chlorophyll-a pigment at 680 nm emission wavelength. The developed portable LED fluorescence lidar system uses 385 nm excitation wavelength for its transmitting system with pulse width of 10.92 ns and peak power of 830 mW. Positive correlations were observed between the range-resolved fluorescence lidar signal and other standard parameters. This new technique can provide real time monitoring of chlorophyll-a in algal growth, which can be used by government and private sectors in creating policies for environmental monitoring and management.
A Novel Approach of Autonomous Cruise Control Using Lidar Sensor
Authors: Rajasekar Vishal , K Aswin , B Sai Arjun . , M Janarthanan
Published: April 2022

Autonomous cruise control is a concept used in modern vehicles. This paper communicates and represents the cruise control using LIDAR v3 as a pivotal sensor. This technology focuses on safety, comfortability, performance, and economical attributes. The intend of this feature is to create advanced automotive by facilitating them with the potential to perceive the vehicle’s environment and thus to be able to warn and protect the motorway users. Many automotive manufacturing companies use a different kind of sensors for cruise control. In this paper, we are using LIDAR as a pivotal sensor. LIDAR stands for light detection and ranging. It is a technique used for detecting the range of the object which uses light as the key source by measuring the distance of the obstacle. Using the LIDAR, we can determine the speed of the motor, which acts as an advantageous safety feature.
Comparative Study on Thermal Analysis of Disc Brake Using ANSYS Simulation
Authors: Chavan Vedant Uddhavrao , A S Guruvasanth , Rana Amay , Prabu S. Senthur
Published: April 2022

The objective of this paper is to find a suitable material for disc brakes that can dissipate heat very fast to the environment than others. They are subjected to wear and tear, which might have an impact on their performance. The simulation findings will help us figure out the temperature, pressure, and heat that can be withstand at its maximum. If it manages to dissipate heat properly it can avoid the distortion, which will be produced in the disc, which leads to thermal cracking of the disc leading to disc failure. To eliminate such flaws, we need to develop a disc brake material that can endure a specific level of heat and friction while maintaining its efficiency over time. In this work, 3 different disc brake materials, namely Al356, cast iron, and SS420, are chosen for thermal analysis by using ANSYS simulations and the results will be compared among.
Novel Nanoelectronic Materials and Devices: For Future Technology Node
Authors: Saxena Shubhangi , Manjunathachari Kamsali
Published: April 2022

Since the last six decades, technology node has grown smaller from micrometer to nanometer dimensions. In continuation of Moore's Law, the research is going on for device/supply voltage shrinking to go beyond 22 nm CMOS technology node. However, many physical and quantum challenges appear at a smaller scale, which causes shrinking beyond 22 nm critical and needs innovative materials and devices for scaling in the nanometer regime. Incorporating nanoengineered materials to realize research achievements has shown timely development with significant influence in electronic industries. These new materials and devices hold promise as potential device candidates to be integrated onto the silicon platform to enhance semiconductor industry growth and extend Moore's Law. Here we address state–of–the–art research trends in nanomaterials and nanodevices for future technology node and discuss associated challenges.
Current Developments in CuS Based Hybrid Nanocomposite for Electrochemical Biosensor Application: A Short Review
Authors: M Sudeep , N Athreya Yash , Patil Nikam Suryajeet , R Chandrakumar , Khosla Ajit , C Manjunatha
Published: April 2022

Development of rational synthesis methods for the hybrid metal chalcogenides is of great importance nowadays, due to their promising synergistic effect. The hybrid nanocomposites with well-defined nanostructures offers unique properties and fascinating applications. Recently, the CuS and its hybrid structures are largely adopted for the electrochemical sensor applications. In this review article, we have attempted to provide brief overview about synthesis and structural features of selected CuS and their composites. The review provide more detailed insights into their electrochemical sensor property with respect to selected biomolecule, such as glucose, tertazine, dopamine, hydrazine, Xanthine, and bisphenol A. In addition to the electrochemical sensing property of pure CuS, the importance of hybrid CuS with other nanomaterials, such as carbon fibers, and rGO, is also discussed in detail. Finally, this review provides summary and future scope of this work. This review would be very helpful for those who are working on copper sulfide based sensors to design their experiments and correlate their experimental results.
Preparation and Characterization of Nanohybrid La2O3-K Complexes for Electrochemical Study
Authors: Srivastava Ankur , Singh Jay , Pandey Rampal , Pandey Mrituanjay D.
Published: April 2022

In biomedical science, alkali metal potassium plays a conspicuous role in the neurotransmission known as sodium (Na)-potassium (K) pump. The rare earth metal like lanthanum is most applicable in the magnetic resonance imaging technique (MRI) for cancerous cell detection. Keeping in mind this perspective, we synthesized the hybrid of La2O3 nanomaterial and K-complexes [(μ2-4-N,N-dimethylamino benzoate-κO)(μ2-4-N,N-dimethylamino benzoic acid-κO) (4-N,N-dimethylamino benzoic acid-κO) potassium(I) coordination polymer)] (nanohybrid La2O3- K complex) by hydrothermal method, whereas the potassium complex has been synthesized by the 6 hours reflection of the 4-(diethylamino) benzoic acid and potassium hydroxide in the methanol as solvent. The1H, 13C NMR, HRMS, and single-crystal investigation have been carried out for the potassium complex. Moreover, the structural, morphological, and electrochemical estimation of synthesized nanocomposites are also under process, which involves the investigation by X-ray diffraction (XRD), Fourier transform infrared (FTIR), and UV- visible spectroscopy.
Domestic Water Filter for Treatment of Arsenic Contaminated Water
Authors: M Rajeswari
Published: April 2022

The feasibility and efficacy of continuous up flow filter packed with Shelled Moringa Oleifera Seed (SMOS) powder for the evacuation of As(V) from polluted water was explored by varying SMOS dose, initial As(V) intensity, and adsorbate flow rate. The finding from fixed column operations depicted that highest As(V) uptake, breakthrough, and saturation time improved with rise in SMOS dosage and with decline in volumetric flow rate. The highest As (V) uptake attained was 55.41 μg g-1 at 100 μg L-1 As(V) intensity, 6 g of SMOS, and flow rate of 2 mL min-1. The breakthrough curves of As(V) removal were modeled by Thomas model and results depicted that the Thomas model delivers excellent similarity with experimental data. From practical and economic view, the filter packed with SMOS might be exceptionally employed as a sustainable and cost-effective strategy for the evacuation of As(V) in polluted water for rural household applications.
Breast Cancer Analysis Using Data Mining Techniques
Authors: A Sathya , K Jayashree , Vijay Priya
Published: April 2022

Cancer is an abnormal growth of cells in the body. These abnormal cells grow to form a swelling called tumor. It is the extra tissue growth in the breast which starts from a single abnormal cell that leads to the growth of a tumor. The most effective way to lessen the rate of death caused by breast cancer is early detection. Planning to help the physicians in refining the correctness of diagnostic results, PC supported analysis framework is helpful for disease recognition. This analysis was done by using some data mining techniques, such as biclustering mining, AdaBoost, and MapReduce, on the dataset of the patients. The MapReduce algorithm will perform mapping and reducing process to get a consolidated data from the enormous data. Then biclustering is a clustering algorithm, which is performed on the dataset and discovers a pattern based on similarities, which are used for further analysis process. Some of the nutrients are suggested for the patients to be taken and not to be taken during the period of treatment. The effective way for reducing the mortality of cancer and improving the healthy life of the affected patients is analyzing and getting awareness about the disease in the early stage. This proposed concept offers some of the easy and cost-effective ways for analyzing the curing possibility of cancer and the result will be provided very faster, which helps the patients to gain some confidence and satisfaction to overcome their disease.
Health Monitoring Devices System and Technology
Authors: Wasekar Rupali R , Junzal Sushant , Sathavane Geeta V.
Published: April 2022

Wearable sensors, also known as wearable health devices (WHD), are already changing healthcare and medicine by allowing patients to monitor their health outside of the clinic. It is incredibly beneficial for people to keep a better track of their health status for self-care. Providing more data to physicians for earlier diagnosis and treatment is also important at the medical level. It will aid in the non-invasive tracking of human health signs. We evaluated significant areas of the WHDs field in this research, including the current state of wearable vital sign sensor technology. Wearable health devices can help with metabolic, cardiovascular, and gastrointestinal health, as well as sleep monitoring, neurology, movement disorders, mental health, maternal, prenatal and neonatal care, and pulmonary health and environmental exposures.
Enhancement of Imbalance Data Classification with Boosting Methods: An Experiment
Authors: Ghorpade Smita Jaywantrao , Chaudhari Ratna Sadashiv , Patil Seema Sajanrao
Published: April 2022

The idea of boosting emanates from the area of machine learning. It is a challenging task for imbalance data set to have appropriate distribution of data samples in each class by machine learning algorithm. To deal with this problem, ensemble learning method is one of the popular approaches. Ensemble methods integrate several learning algorithms, which gives better predictive performance as compared to any of the basic learning algorithms alone. Based on this research, a question is formulated. The null hypothesis is stated as “There is no significant difference between single classifier and classifier with ensemble techniques - AdaboostM1 and Bagging.” Alternative hypothesis is stated as “Ensemble techniques AdaBoostM1 and Bagging works more superior as compare to single classifier.” We have conducted an experiment on three imbalanced data sets. We examined the accuracy of four classifiers Naïve Bayes, Multilayer Perceptron, Locally Weighted Learning, and REPTree. The predicted accuracy score of these classifiers are compared with boosting techniques AdaboostM1, Bagging, Voting, and Stacking.
PCOD (Polycystic Ovarian Disease): A Review Article
Authors: Joshi Abhishek
Published: April 2022

PCOS (polycystic ovarian syndrome) is the most common endocrine illness in women of reproductive age, and it's linked to a higher rate of depression and anxiety symptoms. It was proposed in 1989-1995 that polycystic ovary syndrome (PCOS) was caused by androgen secretion dysregulation causing functional ovarian hyperandrogenism (FOH). This theory has been supported and elaborated upon by subsequent studies. When defined as otherwise unexplained hyperandrogenic oligoanovulation, two-thirds of PCOS cases demonstrate functionally typical FOH, which is characterized by 17-hydroxyprogesterone hyperresponsiveness to gonadotropin stimulation. Two-thirds of patients with PCOS have FOH detectable by testosterone rise when adrenal androgen production is reduced. About 3% of PCOS individuals suffer with isolated functional adrenal hyperandrogenism. This review discusses the possible causes of this increased risk as well as therapeutic possibilities. Conclusion: Uncontrolled steroidogenesis, insulin resistance, oxidative stress, and hereditary variables all play a role in PCOS pathogenesis, which may begin as early as prenatal life. Additional research is needed to bridge the gap between the many susceptibility variables that may play a role in PCOS.
Fuel System Design and Validation for UAV
Authors: Praveen Aneena , Kuppusamy Ashok
Published: April 2022

The main goal is to develop a simple fuel system for a UAV (Unmanned Aerial Vehicle), as well as to check and validate whether the simulation and theoretical values are within an acceptable range. The fuel system of Lakshya is studied as a baseline reference model. Lakshya is a remotely piloted high-speed target drone system which is used to perform discreet aerial reconnaissance of battlefield and target acquisition. Flowmaster is a 1-Dimensional (1-D) Computational Fluid Dynamics (CFD) tool which is used for modelling and analyzing fluid mechanics in simple and complex piping structures as well and duct components of any scale. The fuel system of Lakshya is modelled in Flowmaster software with some modifications. The losses across each component are calculated theoretically and recorded. The losses are simulated on Flowmaster and the results are analyzed. The benefits of using Flowmaster simulation software are highlighted.
Artificial Intelligence, Machine Learning, and Deep Learning in Health Care
Authors: Rathi Harsh Kailash , Dawande Pratibha , Kane Shriram , Gaikwad Amol
Published: April 2022

Artificial Intelligence (AI) and related technologies are widely used in business and community, and are integrated into health care. This technology has the potential to transform many aspects of patient care, as well as management functions within providers, payers, and pharmaceutical companies. A growing number of research shows that artificial intelligence (AI) can work better or better than humans in important health care tasks such as diagnostics. As machine learning (ML) models become more common in our daily lives, concerns about their potential for injury are growing. In medicine, optimism in the human-health function of ML is influenced by ethical concerns about the potential of tools to magnify existing health disparities. Recent research, for example, has found that when applied to women, minority races, and ethnic groups, as well as those with social insurance, modern clinical prediction algorithms do well. When popular language language models are trained in science textbooks, they complete the templates of clinical notes to compliment hospitals for violent white fathers, according to other studies. Conclusion: While in-depth learning as a means of analysis and modeling has some advantages at the moment, it also highlights a major trend: the integration of health sciences with data. Obstacles to access to health care will be higher than many other industries, where billions of people use in-depth learning and other forms of electronic learning software every day.
A Study Protocol to Assess the Pharmacy Revenue Leakage in AVBR Hospital, Sawangi (M), Wardha
Authors: Bramhane Shubhangi , Aditya Kumar Bhargav
Published: April 2022

AVBR hospital is the largest hospital in private sector in central India, having bed strength of 1,500. It has 2,000 or more patients on an every day basis, and around 1,500-1,200 prescription generated. This study mainly conducted to improvise the pharmacy revenue, patient satisfaction, and avoid revenue leakage in AVBRH amongst private sector hospital. The pharmaceutical enterprise's ability efficiently manage the revenue cycle has become a major strategic concern for hospitals and health systems. The organization's short- and long-term financial viability may be jeopardized if the subtleties of this complex process were overlooked. Pharmacy executives are responsible for delivering excellent financial outcomes, while also improving the patient experience. Financial success in today's healthcare businesses demands more than cost-cutting and defensive methods. To ensure revenue integrity, on both the front and back ends of the hospital revenue cycle, the focus should be on root-cause analysis and process optimization. Hospitals are increasingly forming revenue integrity teams in order to obtain a better understanding of their business operations and help provide the processes, communication, accountability, and leadership required for optimum reimbursement and compliance.
Fabrication of a Highly Active Ni-SiO2 Nanocatalyst and Study of Its Catalytic Efficacy Toward the Reduction of Nitroaromatics
Authors: Chowdhury Keya , Reaz Akter Hossain , Kumar Roy Chanchal , Chowdury Al-Nakib
Published: April 2022

Transition metal-based nanocatalysts have gained desirable interest in catalysis because of their high activity, low cost, and ease of recycling in chemical reactions. In this work, nanoporous SiO2 nanoparticles (NPs) were employed as the support to immobilize Ni NPs based nanocatalyst (with a mass ratio of 2:2 of SiO2 and Ni) by a facile in-situ reduction in a controlled medium. FTIR analysis was employed to investigate the chemical nature of the prepared Ni-SiO2 nanocatalyst, which revealed the formation of Ni NPs onto the surface of nanoporous SiO2 NPs. The catalytic efficacy of the prepared nanocatalyst was inspected through the probe reduction process of 4-nitrophenol (4-NP) to 4-aminophenol (4-AP) via UV‒vis absorption spectroscopy. Ni-SiO2 nanocatalyst showed good catalytic activity and successfully converted 4-NP to 4-AP sufficiently within 10 min. The computed rate constant, k, and activity parameter, K, was 0.069 min-1 and 34.5 g-1 min-1.
Bibliometric Analysis of Scientific Productions Regarding Use of Turmeric in the Management of Oral Submucous Fibrosis
Authors: Meshram Mrunal G. , Kale Bhairavi , Revankar Ramnath P. , Jadhav Vikrant V.
Published: April 2022

Oral cancer is the 12th most commonly occurring cancer in females and the 6th in males. Oral sub mucous fibrosis (OSMF) considered as one of the high-risk precancerous conditions, linked with areca nut chewing. The aim of present bibliometric analysis was to put forward a summary of countries, universities, authors, journals, and research data related to use of turmeric as a therapeutic consideration in potentially malignant disorders (PMDs) and oral submucous fibrosis (OSMF). Methodology: Studies related to use of turmeric as a therapeutic consideration in PMDs and OSMF published in PubMed indexed journals from 2011 to 2021 were extracted from the Science Citation Index expanded core database. Data and research publications of numerous authors, journals, universities, and countries were retrieved and quantitatively analyzed applying the R-Studio biblioshiny package. The core data set comprised of overall 334 journals, as well as books. 724 documents were recognized. Top 20 PubMed indexed journals were selected which publish the data regarding medicinal properties of turmeric. 20 universities were also analyzed regarding treatment of turmeric. Average years from publication are 4.8 years. Results: A total of 724 documents were extracted. These documents were derived from 2011-2021. The number of documents/publication researches steadily increased from 2011 till 2018. Conclusion: This research includes data of 10 years, therefore, this bibliometric research of contribution of turmeric in oral submucous fibrosis and potential malignant disorders will provide complete knowledge during these years. This will provide an insight for new research projects across the globe.
Educational Data Mining: A Comprehensive Review and Future Challenges
Authors: Pallathadka Harikumar , Jain Shikha , Kamble Suraj , Tongkachok Korakod
Published: April 2022

Students are the major clients of many institutions, and they've come to realize that they're in the service industry. Before designing a performance-enhancement program, a student's existing status must be evaluated. Higher education officials place a strong focus on accurately predicting a student's performance. This study tries to reveal the many factors that influence a student's choice to join a certain college or institution. Students who are able to forecast their own performance early on are better able to take action to enhance their results. In order to achieve a high level of education, several forecasts of student performance have been devised. However, these predictions have been shown to be inadequate. EDM uses a variety of elements, including social, behavioral, cognitive, and motivational, to predict student behavior. Many domain models have previously been improved by using optimal learning and instructional sequences. This article examines a variety of educational data mining strategies in great detail. Data mining in education also faces a number of concerns and obstacles, which are explored in this article.
Experimental Stress Analysis and Stress Concentration Factor – A Review
Authors: Chugh Ramit , Nagpal Shubhrata
Published: April 2022

A machine component goes through various stress conditions and it is essential for a designer to analyze the stresses generated in the component accurately. Experimental stress analysis plays a vital role in designing a component.
Eco-Friendly Green Synthesis, Characterizations, and Antimicrobial Activities of Nickel Oxide Nanoparticles
Authors: C Mallikarjunaswamy , V Lakshmi Ranganatha , HN Deepakumari , G Nagaraju , Khosla Ajit , C Manjunatha
Published: April 2022

The simple solution combustion method has been used for the synthesis of NiO nanoparticles using nickel nitrate as an oxidizer, Samanea saman pod extract as a fuel at 500°C. The crystalline nature of the nanoparticles was confirmed by X-ray diffraction studies and SEM images the information about surface morphology of the nickel oxide. The EDS spectrum confirms the composition and purity of the nanoparticles. Further, the nanoparticles are subjected for antimicrobial activity. The results revealed that NiO nanoparticles exhibit good antimicrobial properties.
Cryptocurrency and Bitcoin: Future Works, Opportunities, and Challenges
Authors: Pallathadka Harikumar , Tongkachok Korakod , Arbune Prashant Subhash , Ray Samrat
Published: April 2022

Rapid expansion of the world's population has been facilitated by technology, which has made knowledge and business readily available to its users at the touch of a button. New technologies like the internet have disrupted the traditional methods of communication and information exchange for ideas, money, or commerce. As a result, the internet is seen as a disruptive technology that has shook the world to its core. Using e-commerce platforms, we can order meals, groceries, and other necessities without leaving our homes or offices. Aside from using our debit or credit cards, we also use alternative wallets like PayTM. Additionally, a huge section of the globe transacts money using virtual currencies, often known as cryptocurrencies. As a safety measure, these tokens and coins have been encrypted for usage on the internet. They're a means of exchange that relies on encryption to verify the legitimacy of new currencies. These virtual currencies are kept in E-Wallets and sent safely and anonymously via the internet on a peer-to-peer basis within seconds. This article performs an analytical study of various cryptocurrencies. It also discusses opportunities and challenges in the vibrant field of cryptocurrencies.
Aptamer Functionalized Hydrogel Nanocomposite for Electrochemical Sensing of Progesterone
Authors: Manickam Pandiaraj , Velayutham Jayasudha , Magudeeswaran Vignesh , Paramasivam Sriraja Subhasri , Karuppaiah Gopi
Published: April 2022

Among the numerous analytical techniques, electrochemical devices have emerged as a cost-effective tool for point-of-care (POC) diagnosis. Electrochemical biosensing devices combine the peculiar features of the bioreceptors, such as selectivity and specificity, with a cost-effective and miniaturised electronic readout system. In this work, aptamer functionalised AuNCs integrated with a hybrid hydrogel employed as a reliable aptamer modified sensing platform for detecting progesterone (p4). The binding features of the p4 sensor are studied using square wave voltammetry. The p4 sensor was responsive to p4 concentration ranging from 1 to 100 nM with a detection limit of 0.3 ng/mL.
Classification of FHR Signals Based on Morphological Features
Authors: Akkanapalli Ushasri , Mudigonda Malini
Published: April 2022

Electronic fetal monitoring is a non-invasive procedure employed to assess the fetal health before and during labor. In this method, fetal heart rate (FHR) is measured by placing electrodes on the mother’s abdomen. The corresponding FHR signal is recorded on the graph called Cardiotocograph (CTG). During intrapartum, CTG records the changes in FHR in response to uterine contractions and helps in identifying the symptoms of fetal distress that may occur during the labor. In the present study, an algorithm is developed to calculate the features of fetal heart rate variability (FHRV). According to the RCOG guidelines, these features can be used to classify the subjects with normal, suspicious, and abnormal FHRV. Correctly interpreting the FHR variability enables early detection of fetal distress, thereby reducing fetal mortality rate. FHRV analysis also helps the obstetricians in efficient clinical decision making and avoiding unnecessary caesarean sections.
A Case of Pleural Effusion Secondary to Covid-19
Authors: Rangari Ankit , Wagh Pankaj , Kumbhalkar Suraj , Kanojiya Deepak
Published: April 2022

Normal radiological discoveries of Covid 19 disease incorporate reciprocal ground glass opacities in lower flaps with a fringe circulation. Pleural radiation is viewed as an uncommon indication of Covid 19 contamination. Pleural effusion can be divided into transudative & exudative pleural effusions. Transudative pleural effusion occurs due to cirrhosis, heart failure, post open heart surgery & pulmonary embolism whereas an exudative pleural effusion are triggered by pulmonary bacterial pneumonia or tuberculosis, cancer, inflammatory disorders such as pancreatitis, lupus, rheumatoid arthritis, post-cardiac injury syndrome, chylothorax (due to lymphatic obstruction), hemothorax (blood in the pleural space), and benign asbestos pleural effusion. This two types of pleural effusion can be identified by measurement of the pleural fluid protein and lactic dehydrogenase (LDH). When the patient's serum total protein is normal but the pleural fluid protein is less than 25g/L, the fluid is classified as a transudate. The fluid is an exudate if the protein content of the pleural fluid is greater than 35g/L. We'll look at the case of a 55-years-old male farmer with complains of breathlessness, cough, fever and left sided chest pain since 3 weeks. He had a history of Covid 19 Positive status 1 month back for which he took medications based on Covid 19 guidelines and HRCT score was 12/25. High amounts of Creactive protein & ferritin were discovered in laboratory tests. Chest X-ray & CT scan identified a massive left sided pleural effusion.
Thermal Degradation Process and Kinetics of Gelatin/HAP Composites
Authors: Purushotham Thiyagarajan , Thangavel Alagesan , A.M. Shanmugharaj , Arumugam Padmapriya , Raman Kalaivani
Published: April 2022

Hydroxyapatite (HAP)-loaded gelatin, a biopolymeric composite, has gained a lot of attention in biomedical applications like bone regeneration because it compensates for the low fracture stiffness and fragility of pure HAP. Furthermore, it improves bone injury tolerance by controlling the amorphous calcium phosphate deposition kinetics and microstructure. Doping metal ions in HAP and thereafter preparing gelatin/HAP composites may result in an increase in the desired property upgrades. Understanding the breakdown kinetics of gelatin/HAP composites offers the opportunity for the composites to be engineered for specific purposes. In the present work, gelatin/HAP composites with/without metal-ion doping were prepared and subjected to thermal degradation studies using thermogravimetric analysis under a nitrogen environment to understand their degradation kinetics.
Investigation on Structural Properties of BiFeO3–SmFeO3 Ceramic
Authors: Rout Chinmaya Kumar , Patnaik Samita , Pattanayak Dillip Kumar
Published: April 2022

This work is mainly focused of Perovskite types of ceramic-composites of BiFeO3–SmFeO3 (BFO-SFO) that have been synthesized using solid-state reaction route. The polycrystalline samples of rare-earth ferrite-modified bismuth ferrite (i.e., (BiFeO3)1-x + (SmFeO3)x with x = 0.0, 0.1, 0.2) were synthesized by a high-temperature solid-state reaction route. The ceramic-composite powders were characterized by powder X-Ray diffraction (PXRD) to confirm the existence of mixed crystallographic phases. The induced strain upon loading SmFeO3 (SFO) in BiFeO3 (BFO) matrix has been computed with the aid of Williamson-Hall (W-H) plot. Surface morphologies of ceramic-composite powders have been studied using Field Emission Scanning Electron Microscope (FESEM) images. The overall results obtained have been discussed in detail.
Face Mask a Personal Protective Tool in the Era of COVID-19: A Bibliometric Review
Authors: Baghel Prerna
Published: April 2022

The greatest challenge of our time “coronavirus pandemic” has turned out to be the major health crisis. Comprehensive strategies, including face covers, have been greatest tools to mitigate the virus spread. As a daily necessity, face mask and face covers have proven to be the best personal protective tool. However, mass masking are we doing it right? Method: We performed a systematic review to dig the optimum distance for avoiding viral spread and estimate the consequences of mass masking in reducing the spread of SARS CoV2. as we observed much less awareness for face coverings and mass masking in lay public. We searched CENTRAL, PubMed, CINAHL, and Embase on 4th Feb. 2021. We searched clinical trials.gov. We also conducted backward and forward citation analysis on the newly included studies. Result: The main aim of this review article is to highlight the need for the use of respiratory protective covers to overcome the pandemic situation and promote required advisories. As there is shortage of mask worldwide, enjoinder for rational utilization of mask is being issued. Conclusion: From our findings, we enlightened the details to alleviate the COVID-19 virus spread in pre-symptomatic patient and mask wearing as an important intervention. Therefore, the ultimate objective of this article is to review available information to combat the COVID-19 pandemic.
RETRACTED: The Review of Carbon Fiber Materials in Automotive Industry
Authors: Wakekar Arun Dadasaheb , Patil Sushant Hanamantrao , Deshmukh Suhas , Thakar Chetan M
Published: April 2022

In present scenario, light weighting becomes a main issue for energy efficiency in automotive industry. The emission of gases and fuel efficiency of vehicles are two important issues. The best way to improve the fuel efficiency is to decrease the weight of vehicle parts. Research and development played an important role in lightweight materials for decreasing cost, increasing ability to be recycled, enabling their integration into vehicles, and maximizing their fuel economy efficacy. There arises a need for developing a novel generation of materials that will combine both weight reduction and safety issues. The application of carbon fibre reinforced plastic material offers the best lightweight potential to realize lightweight concepts. Carbon fibre reinforced plastic has outstanding specific stiffness, specific strength, and fatigue properties compared to commonly used metals. In automotive industry, the advantages of carbon fibre reinforced plastic are reduction in weight, part integration and reduction, crashworthiness, durability, toughness, and aesthetic appealing. Carbon fibre reinforced plastic is a composite material that has been used extensively in various applications such as aerospace industry, sports equipment, oil and gas industry, and automotive industry. Keeping in view the aforementioned advantages of carbon fibre reinforced plastic, the authors have presented a brief review on carbon fibre for automotive industrial applications.
Media and Urban Governance: The Quest for Sustainable Cities and Communities
Authors: Abraham Albert , Khatra Khushboo
Published: April 2022

Communication creates communities. Connectivity becomes the hallmark of the network society facilitated by digital technologies (Manuel Castells, 2000). As the population is constantly increasing and communities are expanding, we require modern, resilient, and sustainable cities. Cities are fundamentally communicative, being fast, well-connected, and global in outlook. Cities are also known for media concentration, as the structures and people there create, carry and exchange messages: social, political, economic, and cultural. Media technologies influence the future of cities. Media not only perform the responsibilities of information dissemination and community building but also facilitate urban governance and public discourse on policies. The policy-making process that consists of policy inputs, policy processes, and policy outputs is heavily influenced by the public discourse triggered by the media. Media establish a policy issue at the center of the public sphere, sets the policy agenda, and create public opinion. It inevitably leads to the mediatization of public policy. In this context, the proposed research paper intends to explore the following aspects: How do media facilitate the creation of communities and fulfill citizens' rights to communicate in cities? What are the gaps in the urban communication landscape, and how do we bridge them? How do media influence policy decisions in urban governance and ensure accountability? What are the prospects of media to promote Sustainable Development Goals in cities? How do they facilitate dialogue between the people, governments, civil societies, and other development agencies? How does technology contribute to strengthening the urban communication landscape?
Cascading Deep Learning Approach for Identifying Facial Expression YOLO Method
Authors: Dhanalakshmi P , Namratha P , Ramu Gandikota , Prasad M Ravi
Published: April 2022

Face detection is one of the biggest tasks to find things. Identification is usually the first stage of facial recognition. and identity verification. In recent years, in-depth learning algorithms have changed dramatically in object acquisition. These algorithms can usually be divided into two groups, namely two-phase machines like Faster R-CNN or single-phase machines like YOLO. While YOLO and its variants are less accurate than the two-phase detection systems, they outperform other components with wider genes. When faced with standard-sized objects, YOLO works well, but can't get smaller objects. A face recognition system that uses AI (Artificial Intelligence) separates or verifies a person's identity by analyzing their faces. In this project, a single neural network predicts binding boxes and class opportunities directly from the full images in a single test.