bluuebunny/crossref_metadata_2025 huggingface dataset:
Oxidative Stress Causing Recurrent Miscarriage and Infertility in Female Inhabitants of High Altitudes of India
Authors: Gajbe Ujwal , Adhikari Rasmi , Lahoti Radhika , More Akash
Published: April 2022

Long-term exposure to altitude has been shown to have major consequences on metabolic, cardiovascular, and reproductive function. The effects of persistent hypoxia on reproductive health can be studied in a natural laboratory at high altitude. Contrary to popular belief, fertile residents appear to be largely immune to miscarriage. Infertility and recurrent miscarriage have been linked to oxidative stress in women living at high altitudes. Oxidative Stress (OS) affects gametes and their interactions. The regulation of gamete quality and gamete interaction is aided by reactive oxygen species (ROS). ROS has been implicated in oocyte formation, maturation, follicular atresia, corpus luteum function, and luteolysis in numerous human investigations. Pathologies in the female reproductive system that are precipitated by OS are comparable to those that cause male infertility. The quality of the egg and embryo, and consequently the rate of fertilization, is influenced by OS. Assisted reproductive treatments, such as IVF and ICSI, are high-tech procedures used to treat female infertility in a variety of situations. They can help women who are infertile due to causative reasons such as endometriosis or tubal factor infertility, as well as people who are infertile for no apparent reason.
The Effect Of Adenomyosis On Fertility In Women: Review Article
Authors: Gajbe Ujwal , Lahoti Radhika , Kharabe Abhilasha Shashikant , More Akash
Published: April 2022

INTRODUCTION:The goal of this study is to determine the is to determine the relationship between adenomyosis and infertility. Although adenomyosis is more commonly discovered in women of reproductive age, its impact on pregnancy rates is significant, especially given the tendency for women in industrialised nation to delay pregnancy. Adenomyosis has been identified in teens. Women between the ages of 35 and 50 are more likely to develop it. There has been at least one pregnancy endometriosis, fibroids in the uterus. Many adenomyosis does not often create symptoms, many women are unaware they have it.female may be affected in 20% to 65%. Adenomyosis is a condition in which some people develop adenomyosis for unknown reasons. Women who have had children are more likely to have illness. We gave a careful examination of the literature data on the influence of adenomyosis on fertility in this article treatment potential consequences on the pregnancy rate will also be discussed. we did literature search, retrieving publication from the PubMet and other Embase and Cochrane database from 1982 to 2019. The adenomyosis and infertility and adenomyosis and pregnancy outcomes were used to find results.CONCLUSION:Despite being a common gynecologic condition, the role of adenomyosis in infertility remains uncertain. It was once assumed to be a symptomatic condition affecting exclusively older women, but it is now being seen in asymptomatic, younger women who are being screened for infertility.
Analytical Study of Csrspending in Indian Banking
Authors: Johari Babasaheb Jadhav , Kulkkarni Ashish , Kulkarni Pooja
Published: April 2022

CSR is moral responsibility and obligation of corporate world to contribute towards social cause and sustainable development of the community at large. Purpose of study was to find, compare, and analyze the extent of CSR activities undertaken and funds spent by selected nationalized and private banks in India, Maharashtra, and Pune.
An Open Randomized Clinical Trial Of Rasona Taila Uttarbasti And Rasona Sidhha Kshirpan In Infertility W.S.R. To Anovulatory Cycle
Authors: Varsha Dr. Adhav , Adhav Dr. Pradip , Akulwar Dr. Anil , Lamture Dr. Yashwant , Kadwane Dr. S. G.
Published: April 2022

Nowadays, polycystic ovarian syndrome (PCOS) is increasingly alarming. Consequently, anovulation and delayed ovulation are the main reasons for patients to seek doctor’s help for conception. Anovulation is one of the most important cause of female infertility. Ayurveda has very good treatment options for the entity in the form of Rasona and Uttarbasti. Rasona is the herbal drug which induces ovulation and hence helpful in treatment of infertility. Rasona can be used in various forms like oil for uttarbasti and milk for oral administration. Uttarbasti is a specialized gynaecological procedure whereby medicated oil or ghrita is instilled in uterine cavity. Uttarbasti is one such type of therapy being indicated for infertility. In our classics and is well practiced with substantial results. It helps in detoxification of reproductive tract like the uterus and fallopian tube.
SMART Phone Based Detection of SPO2, Heart RATE and Blood Pressure
Authors: A S Kaviya Dharshini , P Mathumetha , B Sharmila , J B Jeeva
Published: April 2022

Increased doubts about health during the pandemic situation creates the need for affordable and accurate wearables to measure vital signs especially temperature, heart rate, respiratory rate, oxygen saturation (SpO2), BP. With the advancements of technology in recent times the vital signs such as SpO2, BP, etc. can be found using a smartphone or a wearable connected to a smartphone/server through Bluetooth. In the proposed method, video of index finger taken by a smart phone under a light source reveals information regarding the vital signs SpO2, BP, heart rate when processed and it eliminates the need of manufacturing a new wearable. The results are compared with standard pulse oximeters for spo2 and the mean standard error is found between 0.5 and 4.5, with manual methods, for heart rate the results are found to be with minimal errors, with cuff-based device, for BP measurements the constants found are in inverse relation.
European Court of Human Rights Practice in Health Matters
Authors: Khytra Oleksandra Leontiivna , Grugorovysh Chyctoketov Leontii , Volodymyrivna Yarmol Liliia , Pavlo Harasym S.
Published: April 2022

Originators consider the problem of providing protection of civic and socio-есоnоmіc rights and unification of people by the European Tribunal for Human Rights. The difference between the destruction of a measured ecological status and an indicator of outcomes and outcomes tо thе bodily and moral continuity of a person, the confidentiality, to a suitable favorable material customer, to obtain information about health and time, and also to obtain information about health and well-being. Stablе еcоnоmіcal, sоciо-еcоnоmіc dеvеlоpmеnt саn bе рrоvеd оnlу with рrоviding strоng human rights аrrоvmеnts as bу thе statе and undеr the internal level also in ECHR. Thе creators dо this thrоugh a thоrоugh studу оf the international jurisprudence of the ECHR in cases bеtwееn сitizеns-рrоsесutоrs and rеsроndеnt statеs. The work sensors are only available in whiсh thе basiс civil and sосiо-есоnоmiс rights and frееdоms wеrе rеstriсtеd оr violatеd bу thе state. The main source of information is used to determine the degree of civil rights and social rights rights of the ECHR, basеd оn trial оvеr sеvеral уears. Using this data, the scribe derivative and summarize the main principles on the ECHR rely whеn making resolves оn thе рrоsесutiоn оf a рartiсular рartу. In the source of the studу, thе authоr sarguе and рrоvе that thе ECHR dоеs nоt рrоtесt civil and sосіо-есоnоmiс laws as suсh in соurt рrосееdings.
Theoretical Analysis of MHD Mixed Convection From A Vertical Plate Embedded in a Porous Medium with a Convective Boundary Condition
Authors: Arul Vijayalakshmi E. , Visuvasam James , Kannan M.
Published: April 2022

An analytical approach has been used to study the heat and mass transfer from a vertical plate embedded in a porous medium experiencing a first-order chemical reaction and exposed to a transverse magnetic field. Instead of the commonly used conditions of constant surface temperature or constant heat flux, a convective boundary condition is employed which makes this study unique and the results more realistic and practically useful. The momentum, energy, and concentration equations derived as coupled second-order, ordinary differential equations are solved analytically a highly accurate and thoroughly tested using Homotopy Perturbation Method. The effects of Biot number, thermal Grashof number, permeability parameter, Hartmann number, Eckert number, Sherwood number and Schmidt number on the velocity, temperature, and concentration profiles are illustrated graphically. Proportional to the plate surface temperature, the local skin-friction coefficient, the local Nusselt number and the local Sherwood number were also presented analytically. The discussion focuses on the physical interpretation of the results as well their comparison with the results of previous studies.
Analysis and Classification of Stress Among Students Using EEG as Biomarker
Authors: V G Rajendran , S Jayalalitha , K Adalarasu , G Usha
Published: April 2022

As per a report from National Crime Records Bureau (NCRB), in India a total of 10,159 students committed suicide during 2018, which implies that average of 28 students reported suicide every day. This increase in the number that leads to an impact on study and analysis of stress among college students. An experimental research carried out by acquiring EEG data from six students under two different conditions. Before going to write their examination EEG data acquired for 3 minutes with recollection of topics for the examination and after examination 3 minutes of data collected with psychological test carried out for all the eight students using eight channel EEG device. Preprocessing of raw EEG with using band pass filter with corner frequencies of 0.1Hz to 40Hz to eliminate low as well as high frequency signal. EEG features extracted by using discrete wavelet transformation technique with six level of decomposition using db4 as mother wavelet. The main EEG features, such as theta, alpha, and beta relative sub band wave energies, were computed using MATLAB. Four different machine learning algorithms, such as decision trees, support vector machine (SVM), k-Nearest Neighbour (k-NN), and ensemble classifier were used to classify stress or non-stress state. Among four ML classifier algorithm ensemble classifier obtained highest classification accuracy of 87%.
Development of Hydroxyapatite Coating on Titanium Alloy for Orthopedic Applications
Authors: R Nagalakshmi , Kalpana M. , Jeyakanthan M.
Published: April 2022

Biomaterials are synthetic materials that are utilized to restore or replace damaged or diseased human body parts, allowing them to regain their original form and function to improve the quality and longevity of human life. Titanium and its alloys have long been employed in biomedical applications due to its remarkable features, such as good biocompatibility, resistance to bodily fluid effects, tremendous tensile strength, flexibility, and high corrosion resistance. Titanium and its alloys have a unique combination of strength and biocompatibility that makes them suitable for medical or recreational purposes. If these materials are used as bio-implant, it releases toxic ions like aluminium and vanadium in the body fluid environment after implantation. [1-3] To overcome the problem, Ti6Al4V alloy was coated with hydroxyapatite (HAp), which provides better bioactivity, osteocompatibility, and antibacterial activity. This layer prevents the further passing of ions from the biomaterial and improves the tissue growth on the bone. The present work is to synthesize HAp from snail shells using a simple wet precipitation method.[4] The waste material of snail shells can be utilized for the development of the HAp, which was non-toxic, eco-friendly, and also to improve bioactivity and biocompatibility of the biomaterials. The prepared HAp was coated on the Ti6Al4V alloy by using the electro-deposition method.[5] Thermal analysis of obtained CaO powder was investigated by TG–DTA analysis. The coated alloy was characterized by various techniques such as FTIR, XRD, TG-DTA, FESEM, EDAX, AFM, and antibacterial activity.
Novel Framework for the Improvement of Object Detection Accuracy of Smart Surveillance Camera Visuals Using Modified Convolutional Neural Network Technique Compared with Global Color Histogram
Authors: Pooja Ch. , K Jaisharma
Published: April 2022

The objective of the proposed work is to evaluate the accuracy of Global Color Histogram (GCH) and Modified Convolutional Neural Networks Techniques (MCNNT) by changing the hierarchical data processing for Smart Surveillance System. Methods and materials: Our novel framework with MCNNT uses the data in hierarchical models of data processing, which is constructed with fully connected layers and the neurons were connected to every other node to handle complex object detection tasks and evaluated using the sample size of 20 per group with model image dataset. Result: The recorded mean accuracy of MCNNT (95.28%) is better than GCH (80.48%). There is a statistical significant difference in accuracy for two algorithms performed by independent sample t-test (P<0.05) for the Confidence Interval (CI) 95%. Conclusion: MCNNT appears to have better accuracy than GCH for object detection of Smart Surveillance System.
Random Matrix Analysis of Protein Families
Authors: Kumari Rakhi , Deo Nivedita , Bhadola Pradeep
Published: April 2022

Proteins are vital for almost all biochemical and cellular processes. Although there is an enormous growth in the protein sequence data, the statistical characterization, structure, and function of many of these sequences are still unknown. The statistical and spectral analysis of the Pearson correlation matrices between positions based on physiochemical properties of amino acids of seven protein families is performed and compared with the random Wishart matrix model results. A detailed analysis shows that the protein families significantly diverge from the Marcenko-Pastur distribution with many eigenvalues (outliers) outside the Wishart lower and upper bound. It is shown that level spacing distribution of protein families is similar to the Gaussian orthogonal ensemble. Further, the number variance varies as log of the system size indicating the presence of long range correlations within the protein families.
Red Mud as a Sustainable Building Material – A Review on Generation, Disposal, and Utilization in India
Authors: P GomathiNagajothi , Sethuraman V. S. , Kala T. Felix , Kavitha T.
Published: April 2022

The trend of development of a country primarily depends on sustainable use of resources and energy which ultimately leads to sustainable development. Most of the developing countries are facing the challenges to fulfill the demands of rapidly growing population. Industrialization and urbanization have great impacts on developing nations (Dharavath and Kulshreshtha, 2014), particularly in the sustainable use of resources and the practices used for waste disposal. While prioritizing the betterment of the society regarding infrastructure and other developments, the negative impacts of these activities shall not be ignored. The impacts leading to disposal of waste generated and its related impacts on environment and health shall also be addressed properly to achieve sustainable development goals.
Study On Properties Of Cactus In Concrete - Cactus Concrete
Authors: C. Vaidevi , Compline D. Vinoth , Vishnuram R. , Arun A. , Musaffer M. Mohamed , Sharen S. S.
Published: April 2022

An investigation was carried out to find the cactus concrete strength which has cactus extract combination of some organic matter in the concrete. In this experiment we have some variable parameters for finding the difference in strength. These properties include compressive strength and split tensile strength. The effects of three variable parameters on these properties were carefully studied, we have the of replacement cactus extract was carried by the three ratio there are 0 % and 25% and 50% of cactus extract replaced for water in M “30” grade concrete which have been in curing for 14 days and 28 days . The properties of hardened concrete such as compressive strength and split tensile strength of the concrete on 14, & 28 days curing period has been achieved. A comparative study of cactus concrete was also done based on the obtained results with the conventional concrete.
Smart Manufacturing a Revolutionary Technique Towards Application of Industry 4.0 Approach
Authors: Pawar Sumit , Kale Mukund S , Deshmukh Suhas P , Thakar Chetan M
Published: April 2022

Industry is currently undergoing a transformation towards fully digitalization & intelligentization of manufacturing process. It concerns the strict integration of human in the manufacturing process. This article present a literature review conducted for our knowledge about how industry affects business. The new advanced technology &application are help in increasing productivity. It is a new level of organization & control entire value of chain of life cycle of product. The aim of study to know the tools (lean) of industry 4.0 use of companies. The reason than push companies to use this tools & product. In the lean tools their 101 tools are present which use in industry 4.0.We focused in more details on the main principle & possibilities of it use bin managerial environment. This new stage is called fourth industrial revolution & also called as industry 4.0. Which being along new requirement, for company structure process flow etc.
Powering Implantable Medical Devices with Biological Fuel Cells
Authors: V Nishaa , B V Spoorthi , B T Soumya , Meda Ujwal Shreenag , Desai Vishwesh S
Published: April 2022

With the quick progress in technology and microengineering, point-of-care and personalized care, supported wearable and implantable medicine are changing into a reality. Both microbial fuel cells and enzymatic fuel cells hold a very good potential to power such devices using biochemical fluids as fuel. For a long time, the path to implant safe and efficient medical devices has been around but it still has a long way to go, although there is a certain amount of progress in technologies and scientific fields. One of the aspects of implantable medical devices that required attention is the power supply. The use of biofuel cells can become an alternative to supplying power to certain implantable medical devices instead of using batteries. Biofuel cells, their understanding, design, and compatibility are gaining importance as batteries are required to be charged and some batteries are even nonchargeable. The major issue associated with the implementation of biofuel cells is the integration of the implantable devices with the biofuel cells, adequate power supply, and biocompatibility. This review paper summarizes the working principle of enzymatic/microbial fuel cells, their applications, and provides an insight into the advances in their use in powering wearable and implantable devices. It highlights the various stages involved in the development of implantable fuel cells capable of generating power to run different implantable medical devices.
Design and Development of Textile Fabrics Using 3D Printing Technology
Authors: Dehghani Mohaddesa , Goyal Pratima
Published: April 2022

The Quality Management System (ISO 9000) compelled manufacturers to consider the environment by reducing the use of raw materials and energy in processes and to adopt clean energy sources. The $2.5 trillion textile sector is the world's second-largest user of water, accounting for 20% of global water waste during the processes. In terms of waste, 85 percent of textiles are disposed of in landfills and only a part of the wastage is recycled. The researcher has worked on additive manufacturing technology using 3D printers for the cleaner production of textile fabrics. It uses less material than the traditional manufacturing methods as it allows to melt/fuse/bind only the required amount of filament to develop the textile products using zero-waste sustainable design strategies. A pilot study was conducted to understand the viability of the use of 3D printing technology for the production of textile material. Based on the feedback, the researcher developed 12 textile samples using different raw materials and 3D printing machines which was further evaluated. It was seen that the most suitable materials to manufacture textiles are thermoplastic polyurethane and thermoplastic polyethylene and the most suitable machine used to manufacture them is FDM and SLA technology. This technology fulfills the Sustainable Development Goal for cleaner production of textile products. It can be concluded that the use of additive manufacturing technology in the textile industry will be a promising production process to meet various requirements especially as the path from an idea to the finished fabric becomes quite easy and fast.
Testing and Performance Validation of Ordinary Evacuated Tube Based Parabolic Trough Collector for Low Enthalpy Process.
Authors: M.K. Chudasama , Gautam Papil M.
Published: April 2022

In this paper, a parabolic trough collector is designed and fabricated, and its thermal performance is evaluated for hot water generation. Theparabolic trough collector was built with a 90o rim angle with a small concentration ratio of 5.5, and the collector aperture area is1.7 m2.Both side open ordinaryevacuatedglass tube and acrylic sheet were usedas a receiver and reflective surface,respectively.Siemens NX has been used to simulate the maximum wind load of 1000 N. The thermal output of the collector is evaluated for close and open circuits as per ASHRAE 93 1986 (RA 91) standard. The achieved maximum efficiencies
A Comparative Analysis of Competition Law Regimes with the Increase of E-Commerce in India and U.S.A
Authors: Bhat Sunayana , Bhardwaj Sonika
Published: April 2022

The growth in analytics and cloud technologies has provided an interface where it is more interactive and approachable for the consumer to decide about purchases and varieties. The authors in this paper will be addressing the existence of anti competitive practices in India, US, and provide a comparative study of the enforceability of competition laws in these countries respectively. India is primarily considered as one of the lucrative markets with highest usage of mobile phones and data and growing demand for the same, the new entrants in the market are finding it difficult with the anti-competitive aspects, for instance unfair practices by gatekeepers. The authors will research on the need to promote economic growth post pandemic and the necessary steps to be incorporated in such promotions so as to increase the demand and supply, but at the same time maintain the competition.
Evaluating Energy Storage Systems for Renewable Energy Integrated Urban Community Microgrids
Authors: Kapur Akash
Published: April 2022

Energy Storage Technologies (ESTs) play an important role in the ever-increasing reliance of renewable energy technologies, especially in deregulated energy grids. There are many promising stationary ESTs in the market or in development. However, not all are suitable for an urban community microgrid (UCM) primarily because of resource constraints, such as land requirements. A UCM is characterized as a completely off-grid microgrid installed in a city environment connected with its community through physical placement and owned by said community. This research explores available, and developing, ESTs from an academic and industrial perspective to find those viable for a UCM in the United Kingdom. Technologies are evaluated on their technical suitability, environmental fairness, cost efficiency, and market readiness. This evaluation finds, a combination of ESTs, with Lithium-ion batteries installed in communal areas for electricity and hot-water energy storage tanks in residential dwellings for heat energy, as the most suitable option.
Synthesis, Characterization and Photocatalytic Activities of Co3O4 - MnO2 - ZnO Ternary Nanoparticles
Authors: David Alwin , Vedhi C
Published: April 2022

Co3O4 - MnO2 - ZnO NPs were synthesized by making use of the equimolar solutions of cobalt chloride, manganese(II) sulfate and zinc sulfate in aqueous sodium hydroxide and refluxed at elevated temperature. The synthesized mixed nano oxides were characterized by FT-IR, XRD, UV - Vis DRS, TEM, SAED, SEM, EDAX, AFM, TG/DTG and DSC. The FTIR spectra confirm the presence of M-O bonds (M = Co, Mn, Zn). The size of the Co3O4 - MnO2 - ZnO NPs are found to be 10.13 - 25.65nm through XRD studies. The XRD patterns also expose that the particle size is significantly increased with increasing concentration of the precursors. UV-Vis diffuse reflectance spectra (DRS) show that the ternary nanoparticles can be activated by UV and visible light illumination. The TEM, SEM and AFM micrographs of 0.1M Co3O4 - MnO2 - ZnO NPs show roughly spherical shape with size ranging from 10 - 30nm. EDAX analysis confirms the presence of Co, Mn, Zn and O. From TG-DTG and DSC studies, it is found that Co3O4 - MnO2 - ZnO NPs are thermally stable. The photocatalytic activity of Co3O4 - MnO2 - ZnO NPs was determined for degradation of methylene blue (MB) under sunlight. Among the samples, 0.1M Co3O4 - MnO2 - ZnO NPs exhibits the best performance (91.98%) for the degradation of MB in 90 min of irradiation time under sunlight. The factors influencing the photocatalytic activity are pH of dye solution, photocatalyst particle size, photocatalyst dosage and dye concentration.
A Review On The Exploration Of The Red Phosphors For The Fabrication Of Phosphor-Converted-LEDs For Plant Growth In Indoor Farming
Authors: Ray Sudeshna , Rawat J.
Published: April 2022

The World Population Prospects 2019: Highlights, published by the Population Division of the UN Department of Economic and Social Affairs, reports that the world population could reach its peak around the end of the current century, at a level of nearly 11 billion. This increase will need to be accompanied by increases in food production, and that too in a world where arable land is becoming an increasingly scarce resource. To address this problem, a relatively new agricultural practice known as Vertical Indoor Farming (VIF), which relies on height, rather than width, to generate agricultural production has emerged as a form of ‘sustainable cultivation of plants.’ It is important to mention that chlorophyll a and chlorophyll b absorb red light ranging from 600 nm to 700 nm wavelength. Red emission from AlGaInP red LED chip is comprised of rather narrow emission spectra from 625 nm–640 nm. In this review, we elucidate a series of transition metal (Cr3+/Mn4+)/ rare-earth (Eu2+) doped silicate and aluminate phosphors emitting in the red region (600 nm – 700 nm) exhibiting high luminescence efficiency for the fabrication of phosphor-converted red LED, which can be mounted on blue LED chip. Consequently the red LED, which will be fabricated by using these red emitting phosphors mounted on blue LED chip will provide the red light in 600 nm to 700 nm region, which can be absorbed by chlorophyll a and chlorophyll b. Solution synthesis mediated approaches will be discussed for the synthesis of these high efficiency phosphors.
The Impact of Economic Recession on Tender Rates of Building Projects in Nigeria
Authors: Folorunso Tunde Akinola , Aderogba Aderemi Muhammed , Odusami Kole Tunwase
Published: April 2022

The recent economic recession in Nigeria affected all sectors of the economy. This paper aims to determine the factors that affect tender rates of building projects, determine the impact of economic recession on the components of tender rate compare the tender rates before and during the economic recession and identify the contractors’ mitigation strategies. The study was conducted using a trend survey design. It was discovered that economic imbalance contributed majorly to the increase in tender rates as a result of an increase in material cost and labour cost, the average percentage increase of the constituents of tender rate such as the cost of building material during the recession is 18.79% from 0.80% before the recession, cost of labour is 14.45% from 3.33%, cost of hiring plants is 14.00% from 4.63% and the total average percentage increase of tender rate before the recession was 2.92% and during the recession is 14.90.
Contractions with Comparison Function in the Extended Cone 2-Metric Space
Authors: Khan Abid , Pathak Pratap Narayan , Sharma Santosh , Tripathi Jitesh P. , Bhardwaj Ramakant , Kumar Varun
Published: April 2022

The present paper deals with results on FP in a C-2MS using contractions and comparison function in setting of this. Outcomes improve and generalize a number of FP results in the literature. Fixed point theory is an important branch of mathematics related with functional analysis and topology. Fixed point theory is any several of theorems in mathematics dealing with a transformation of the point of a set into itself such that at least one point remains fixed as square of any real number no fixed except 0 and 1. i.e., 0 and 1 are only fixed points whose square is fixed in real number system. Among hundreds of fixed point theorems, Brouwer's is particularly well-known, due in part to its use across numerous fields of mathematics. In its original field, this result is one of the key theorems characterizing the topology of Euclidean spaces. The theorem is also used for proving deep results about differential equations and is covered in most introductory courses on differential geometry.
Investigation of Ni Catalyzed Oxygen Reduction Reaction with the Interdigitated Array Electrodes
Authors: Hao Yanan , Du Peiqi , Tao Keyu , Liang Yanping , Liu Fei
Published: April 2022

With the growing concern of the energy crisis and environmental pollution, new energy storage and energy utilization methods are demanded for the sustainable development of human beings. Oxygen reduction reaction (ORR) is considered as the “bottleneck” of the energy storage and utilization, and understanding the specific reaction pathway and mechanism are essential in designing new catalysts. In this work, the non-precious metal catalyst Ni was studied towards the ORR catalytic activity utilizing the interdigitated array (IDA) electrodes for the in situ detection. IDA electrodes have high collection efficiency and are utilized for the detection of the reaction intermediate and therefore the reaction pathway. It was observed that the average electron transfer number of Ni-catalyzed ORR is about 3, and it varies with the change of applied potential and the surface state of catalyst. The H2O2 production changes between 40% and 75%, reflecting the possible reaction pathway at different status.
Charmonium Suppression in an Anisotropic Hot Qcd Medium Using Quasi-Particle Model
Authors: Solanki Siddhartha
Published: April 2022

We have studied the properties of charmonium states through the in- medium modifications to both perturbative and non-perturbative term using the Cornell potential. The flavor dependence of the binding energies of the heavy quarkonia states in isotropic as well as anisotropic case have been obtained by employing the quasi-particle Debye mass with baryonic chemical potential at fixed value of μb =300MeV, which is computed by employing the quasi-particle picture. There is significant comparision has been made for the variation of binding energy using different Debye masses, such as quasi-particle Debye mass, leading order Debye mass, and quasi-particle Debye mass with baryonic chemical potential in isotropic and as well as anisotropic case. Further, we observe that the dissociation temperatures of anisotropic medium are higher than the isotropic medium using quasi-particle picture in full QCD case. By using these dissociation temperatures as an input, we explore the sensitivity of prompt and sequential suppression at LHC (1).
Chronic Kidney Disease Detection Using Machine Learning Regression Models
Authors: Singh Bhagvender , Arora Kavita , Iyer Sailesh Suryanarayan
Published: April 2022

The database of developments in the health sector is growing very rapidly. The data is very important to be processed and needs to be useful. Machine Learning and data mining are fields of research which can process databases into knowledge that can be used for diagnosing disease, such as Chronic Kidney Disease (CKD). This mining technique is used to predict CKD condition using two-fold regression algorithms namely Multivariate Linear Regression and Logistic Regression. The aim of this study is to ascertain if somebody is a patient of CKD or not. The steps which have been followed in this research are to pre-process data, making prediction models with help of Multivariate Linear Regression, Logistic Regression method, and prediction model testing using test data.
Role of Internet of Things (IoT) Increasing Quality Implementation in Oman Hospitals During COVID-19
Authors: Mustafa Malik , Al-Badi Ali
Published: April 2022

Internet of Things (IoT) has had an influence on the health information industry since it has grown so quickly. This goal may be achieved through increasing the effectiveness, speed, and affordability of health care delivery. A framework for health-related IoT success developed by Mclean and DeLone Information Systems (IS) has yet to be proven. Its aim is thus to demonstrate the value of information systems (IS) in connection to client happiness, IoT Net benefits, and user intent in five Oman healthcare providers. This research will also look at the infrastructure and technologies that are necessary to improve the efficiency of social healthcare procedures for residents. A hospital's management should be encouraged by this conclusion to concentrate on critical components of IoT adoption in health systems. There were 750 questionnaires sent out, and 430 of them had been returned to Oman's five healthcare facilities. The response rate to the survey was 57%. For the purposes of this study, we want to examine the impact of infrastructure and technology on the well-being of citizens and users of the Internet of Things (IoT). It was also used to test assumptions pertaining to technology, infrastructure, system quality, and information quality. Oman's healthcare facilities may be hindered by a lack of quality of service, system quality, and information quality, according to a recent research. This research will enhance McLean and Delone's model by looking at the impact of infrastructure and technology in Arab countries.
Constructed p-2D/n-2D BiOCl/BiVO4 Nanoheterostructure for Photocatalytic Antibacterial Activity
Authors: Abid Huda N , Ahmed Duha S , Al-keisy Amar H
Published: April 2022

Degradation of harmful organic pollutants using semiconductor materials has been represented as one of the energetic solution for wastewater treatment. A novel visible light photocatalyst of BiOCl/BiVO4 (BCl-BV) with a p-n heterojunction structure catalyst were synthesized using a simple hydrothermal method. Specifically, 1 g of BiOCl (BCL) powder was added to 100 mL of DW, followed by using drop casting of Bi(NO3)3 and Na2VO4 at various concentrations (0.25, 0.5, 0.75, and 1 mM). The structural and physical properties of synthesized materials are investigated by X-Ray Diffraction, FESEM measurement, EDS analysis and UV-Visible spectroscopy. Under visible-light irradiation, the photocatalytic activity of of synthesized materials were evaluated for the degradation of rhodamine (RhB), methylene orange (MO), and methylene blue (MB) concentrations. In comparison to pure BiOCl and BiVO4, the heterojunction significantly improved photodegradation efficiency for rhodamine (RhB), methylene orange (MO), and methylene blue (MB) under visible-light irradiation (> 400 nm). This is attributed to the B type heterojunction structure with a strong oxidative ability and efficient charge separation and transfer across the BiOCl/BiVO4 interface. Finally, the antibacterial activity of BiOCl, BiVO4,, and BiOCl/BiVO4 heterojunction was improved and reveal the strong interaction of BiVO4 and heterojunction BiOCl/BiVO4 with the bacterial membrane and higher generation of ROS through strong oxides like activity.
Traction Performance Estimation of Lunar/Planetary Rover Wheel Using Finite Element Modeling
Authors: Gyawali Aashish , Solomon Dawit , Mehta Dhruv , Seeni Aravind
Published: April 2022

Finite Element Analysis is the process of simulating the behavior of a part or assembly under given conditions so it can be assessed using the finite element method (FEM). A finite element model is developed using commercial and widely available software Abaqus/Explicit 2020. The core objective of this research is to perform finite element analysis to predict traction performance of wheel on lunar/planet soil. In this research, Soil is modelled with parameters that represent pressure-dependent elastic-cap hardening. Drucker-Prager/Plastic law is followed. Mesh independence study is done to obtain results with finer mesh. Displacement magnitude, Equivalent Plastic Strain (PEEQ) and Slip are analyzed.
Fuzzy Logic Controller Based Modified Energy Management Strategy for Battery and UC with Improved Battery Performance
Authors: Ranjan Alok , Bodkhe Sanjay B.
Published: April 2022

The ultracapacitor (UC) acts as a stress reducer for the battery. It is also considered as a fruitful companion for a battery in battery-UC hybrid energy storage system (HESS). Management of power between battery, UC, and drive motor, along with a suitable topology, decides the performance of the battery and drive system. Rule based energy management strategy (EMS) is simple, real-time implementable, ease in control, and based on engineer’s experience. But it lacks in controlling the state-of-charge (SOC) of battery and UC, battery current rate, and its magnitude, dc link voltage control, and UC voltage regulation. In this paper, low pass filter based conventional rule-based EMS is studied and implemented in MATLAB. Then fuzzy logic based modified rule-based EMS is proposed and simulated for the same load profile. Comparative study between conventional and modified EMS shows the proposed EMS is capable to provide constant dc link voltage, stable UC SOC operation, fast response, and reduces the large variation in speed. Proposed EMS saves the 10% of the battery energy for 20 sec load profiles as compared with battery only system. So, by use of UC, shared bus topology, and effective EMS, driving range of the vehicle and battery life can be improved and range anxiety can be reduced.
Design of a Source Degenerated Cascode Stage Low Noise Amplifier for 5G Applications
Authors: K M Nihar , Padiyar Sandesh , Bali Prajwal , D R Shilpa , A Mahesh
Published: April 2022

Low Noise Amplifier (LNA) is the most critical part of a receiver front end in terms of the receiver performance. The performance tradeoff among input matching, noise figure, gain, and linearity are analyzed in detail. The LNA finds its application at Portable GPS Receiver, BLE, Zigbee, NFC, WiFi, Wireless Sensor Network, RFIC operating at 2.4GHz frequency. Millimeter wave communication is an evolving technology for bandwidth demanding 5G wireless application. A high gain and linear narrowband cascode Low Noise Amplifier (LNA) operating at 2.18GHz to 2.47GHz is proposed. To demonstrate design methodology, a narrow-band source degenerated cascode LNA is designed and simulated in a standard 90nm CMOS process to operate in the 2.4 GHZ band. The LNA achieves a voltage gain of 5.38dB, Noise figure of 4.1127dB, and from 3.2 V supply voltage. Proper input and output impedance matching have been performed to achieve the input return loss of -14 dB (S11) and output return loss of -19.72 dB (S22). Simulation study has been done using Cadence spectre.
A Study of the True Cost on Password Authentication Policies
Authors: Bhatt Hetal Rajendrakumar
Published: April 2022

It currently analyzes which redefines modern password policies and practices. Users generally focus on maintaining security, but existing security policies are not so complex as to adapt to their capabilities, roles, and work environment. Therefore, these password policies will impose requirements on users and adversely affect their performance and ultimately their business.
Design of Novel Key Generation Technique Based RSA Algorithm for Efficient Data Encryption and Decryption
Authors: Joshi Anshu , Anand Vijay
Published: April 2022

The RSA cryptosystem is the most extensively used shared key cryptosystem. It is the first cryptosystem to employ the use of a public key. The more powerful this cryptosystem is, the larger the key. There are several RSA algorithms and variants. Nonetheless, it has snatched the hot topic of science. The desire to keep sensitive data safe isn't going away. Data is continually moving over the network in today's environment. The scope of this network could be local or worldwide. It will be sent to you by email or another method. It's also critical to keep sensitive or private information out of the hands of prying eyes. There is also a requirement to develop a zero-tolerance security method. This study offered a time-saving method for generating encryption and decryption keys. This method of key generation may be beneficial to all RSA implementations.
Extaction of Maximum Power from PV and Wind Energy Sources Using Predictive Control System in Microgrids
Authors: D Lokesh , C Senthil Singh
Published: April 2022

The impact of global warming and changing climatic conditions due to over exploitation of fossil fuels, emission of high carbon levels, and increased demand for energy have necessitated the application of renewable energy sources. Load demand is addressed by the default design of microgrids, with minimal changes in their architecture to adhere the introduction of electricity generated from different renewable sources. Renewable energy sources are generated from photovoltaic cells (solar), wind, and ocean tides, and India has been extending the deployment of solar and wind energy generation centers. The proposed system concentrates over the algorithms for Maximum Power Point tracking schemes to analyze how the renewable sources of energy are used to yield the maximum power. The same energy is stored in a battery storage and hence used whenever necessary. A definite set of control measures are defined within the Model Predictive Controlling mechanism, enabled to control the inverters, further defined to address the requirements of consistent AC load voltages. The inverters are controlled through a novel design of DC-DC Buck Boost Converter of battery and Model Predictive Controller is facilitated with DC-AC inverters. The controllers are modelled with MATLAB/SIMULINK with power droop controllers within the microgrid system. Proposed system was evaluated through simulations and from the investigative results, predictive controlling scheme has outperformed the other control strategies, while handling the fluctuating PV and wind energy sources.
The Design and Development of Advanced Braking System with Microcontroller
Authors: Matharou Gurpreet Singh , Gupta Chirag , Pradhan Vansh , Ahlawat Tushar
Published: April 2022

The Present embedded vehicle braking system is designed to offer the braking efforts through physical force operation by the operator. The sudden emergence of a blockade while driving is one of the most prevalent sources of Indian vehicle accidents. Most of the road accidents have been reported owing to delay in driver response to push the brake pedal and also due to wrongly calculating the distance and speed of the vehicle coming from the front. In addition, the vehicle braking responses ranges from individual to individual in a panic situation. To combat with the existing braking issues of the present vehicle, a unique braking mechanism has been introduced to reduce the reaction time of the driver and stop the vehicle in case no braking efforts are being applied by the driver. The ultrasonic sensor technology has been employed for assessing the distance between the vehicle and the obstruction. Depending on the detecting pulse information, a microcontroller is used to regulate the speed of the vehicle, causing the driver to press the brake pedal and apply tremendous force to the brakes of the vehicle for safety reasons. For enhancing vehicle safety and performance, the employment of computers, also known as ECUs (electronic control units), is a significant step forward in this direction. This paper illustrates the design, development and was tested for sensor response and braking distance on different terrains. The observed and theoretical values are within the suggested safety limits.
A Comparative Study of Developing Managerial Skills through Management Education Among Management Graduates from Selected Institutes
Authors: Salvi Archana
Published: April 2022

The relationship between management education and the industrial sector is evolving as the industrial sector becomes more globalized. In terms of vast facilities, a diverse staff, good placements, and industry assistance, India's top business schools have it all. Running business schools, on the other hand, is an adventure for the rest of the industry. It's difficult to turn students with less-than-stellar backgrounds into industry-savvy MBAs.There is still a gap between what industries anticipate and what academic institutes teach in these MBA programmes. This research study aims to learn about the current state of management education in terms of educational quality and the development of managerial abilities in students.
Drinking and Irrigation Water Quality Analysis for Chambal River at Kota City, Rajasthan (India)
Authors: Kuldeep Kuldeep , Kumar Porush , Yadav Dipty , Mathur Anil K.
Published: April 2022

The present study assesses the water quality of the Chambal River for drinking and irrigation in Kota City on a seasonal and annual basis. Twenty-three parameters to be observed for the water quality of the Chambal River at four sampling points at Kota district, Rajasthan (India). The observation period was from 1 January 2020 to 31 December 2020. The water quality of Chambal River water for drinking and irrigation is determined with the help of WQI and IWQI. The results were compared with the bureau Indian Standard "IS 10500:2012" for drinking water. All the parameters were found under the prescribed limit. The river's water quality upstream of Kota Barrage is suitable for drinking and irrigation. But, in the downstream, it varies from poor to very poor category, making it unsuitable for human consumption. This research is an earlier sign of regulating agencies to control and manage river water pollution.
Machine Learning and Internet of Things (IoT) for Real-Time Image Classification in Smart Agriculture
Authors: Phasinam Khongdet , Kassanuk Thanwamas
Published: April 2022

A human's ability to survive would be impossible without agriculture. Agriculture provides a means of subsistence for a huge proportion of the global population. It also provides a large number of work opportunities for the locals. Poor yields are a consequence of farmers' desire to rely on old-fashioned farming methods. The long-term development and success of the economy will continue to depend on agricultural and related industries. Crop monitoring and tracking, disease identification and management, and other such issues are among agriculture's most difficult difficulties. In many cases, smart farming is a viable answer. The Internet of Things (IoT) and machine learning methods has made it feasible to implement smart agriculture. This article presents a framework for real-time picture categorization in agriculture. Everything from IoT cameras to mobile applications to machine learning methods is featured. Arduino Uno, sensors, and Wi-Fi devices make up the hardware. Computers may "learn" from previous examples and detect patterns from noisy or complicated datasets using machine learning, a technique that uses a variety of statistical, probabilistic, and optimization methodologies to allow computers to "learn." Because of this, machine learning algorithms are increasingly being utilized to classify photos. Real-time photos linked to smart agriculture were classified using a combination of SVM, K-nearest neighbors, and probabilistic neural network classifiers. Real-time picture classification will assist in the diagnosis of leaf disease, the monitoring of farm staff, the classification of crops, and the tracking of farm product progress.