Volume 9 | Issue 10

 Abstract

The term crptocurrency is marvel of late years representing computerized money dependent on standards of cryptography. Overall population might befuddle this term bitcoin, however numerous other crptocurrency emerged. The essential standards of all crptocurrencies are comparative and momentarily presented in this paper. The current review is centered around surveying the effect of crytocurrency. Crptocurrency are the new item in economy. The review responds to the inquiry 1.the crytocurrency is legitimized? 2. Is making an interest in crptocurrency is actually similar to making an interest in shares?. Besides fundamental plan of crytocurrency are examined.

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Cryptocurrency, Bitcoin, Digital currency, Blockchain Technology.

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Healthy food habits in girls during adolescence are of utmost importance as practices followed during this age are carried out in the future and influence the food habits and thus the health of their families and community. So, the present study was carried out to assess the food and nutrient intake, anthropometric measurements, nutritional knowledge and dietary practices of hostel girls studying in Teerthanker Mahaveer University, Moradabad. A total of 100 girls staying in the hostel of Teerthanker Mahaveer University were selected using random sampling, and the data was collected regarding socio-economic profile, food and nutrient intake, anthropometric subjects, nutrition knowledge and dietary practices using survey schedules by interview method. The results revealed that the intake of mostly nutrients was deficient except for fat and vitamin C, which was 187.4 and 121.4 per cent 50-75% of the RDA. Only 68% of girls were normal according to BMI, and the rest were malnourished, with 18 per cent undernourished and 14 per cent over nourished. The reason for this was faulty food habits which were judged by their attitude and dietary practices. The majority of the population 55 per cent of girls had high knowledge level, 41 per cent had a medium level, and only 4% had low nutrition knowledge. The result of nutrition knowledge depicts that nutrition knowledge was not poor, but the population followed the wrong practices for food consumption. So, it is recommended to carry out campaigns in order to motivate the girls to follow good dietary practices.

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As the speed of innovation increases at an accelerating rate, Individuals' ways of sharing their views on different websites is also expanding. On social media sites like Facebook, Twitter, and Yelp, there are various reviews and opinions. Scores are normally provided on a range of 1 to 5 stars. Assessment of opinions through textual information analysis has shown an important impact in analytic research because this offers useful options to emotions mining. Review is an evaluation of a product or service by someone who has used the product or service or has experience with it. The ranking of any e commerce site is heavily influenced by the opinions of its users. The purpose of this paper is to explain how a Machine Learning (ML) set of rules works on Yelp's database to evaluate, anticipate, and advocate brands. With the sentimental analysis algorithm, we analyzed Support Vector Machines, K- Nearest Neighbor, Multilayer Perceptron classifiers, Naive Bayes, , Decision Tree and Random Forest. The best result of the multi-layer perceptron classifier is 93.40 percent.

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Machine Learning, Sentimental Analysis, Opinion Mining, Natural Language Processing, Review rating prediction

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Capsaicinoids, chillies, ointment, pepper spray, dermal patch.

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This project introduces a framework for appropriately adapting and adjusting machine learning (ML) techniques used to construct electrocardiogram (ECG)-based biometric authentication schemes. It can help define the boundaries of required datasets and get training data with good quality. Use case analysis is adopted to determine the boundaries of datasets. Based on various application scenarios on ECG-based authentication, three different use cases are developed. With more qualified training data given to corresponding machine learning schemes, the precision on ML-based ECG biometric authentication mechanisms are increased in consequence. The ECG time slicing technique with the R-peak anchoring is utilized in this framework to acquire ML training data with good quality. In the proposed framework four new measure metrics are introduced to evaluate the quality of the ML training and testing data. In addition, a MATLAB toolbox, containing all proposed mechanisms, metrics, and sample data with demonstrations using various ML techniques, is developed. For developing ML-based ECG biometric authentication, the proposed framework can guide researchers to prepare the proper ML setups and the ML training datasets along with three identified user case scenarios.

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Authentication, ECG Time Slicing, ECG Biometric Authentication, Machine Learning, R-peak Anchoring.

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Sign language is a somewhat complex language for normal people as they are no longer aware. Therefore, this can be quite difficult when a person is trying to talk to someone with physical disabilities such as the mute and the deaf. So imagine a technique that will allow you to recognize sign language. without knowing the actual language. This can help people recognize those who are facing physical challenges, a set of rules that uses image processing to detect how the hands are aligned, where this alignment is diagnosed from predefined data sets that we create and the textual content is diagnosed and then immediately displayed on the screen. it will make them less difficult to see.

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Deep Learning, Sign Language, Convolution Nueral Network

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As we are known that Panzara river is most popular holy river in India, Because of the dhule a big city is developed on bank of panzara river. But Now a Days, the pollution in water of panzara river is increasing day by day due to puja waste thrown in the river sewage is directly enters to river at some places. Hence there is need to analysis of the river water and compare with the standards of the BIS, CPCB & MPCB. The Physico-Chemical Analysis of water determines the quality of water of Panzara River at various stations in three seasons. It will gives us the results in terms of Temperature, pH, dissolved Oxygen (DO), Total Suspended Solids (TSS), Total Dissolved Solids (TDS), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD) of the river water. Kipping this in view, the Physico-Chemical Properties of Panzara River at various stations of Dhule region are studying.

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Analysis, Quality, Pollution, Standard, Properties, Biochemical.

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Street vendors are an important feature of global urban economies. They are the integral part of informal sector, which is the backbone of the Indian economy, who aims at providing quick access to a diverse range of goods and services in public locations. The present study was done in the streets of Madikeri town where the street vendors sell their commodities. The objective of the present study is to examine the impact of Covid 19 on the livelihoods of street vendors during phase 2. The data was collected by structured interview schedule. The recent COVID 19 outbreak has disrupted the activity of most street vendors. The present study aims to focus on the impact of national and state wide lockdowns on the street vendors, and effects on their livelihoods. Study reveals that 94.5% respondents were highly impacted by the pandemic during phase 2 lockdowns.

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- Covid 19, Global, Livelihood, Lockdown, Pandemic, Street Vendors.

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The entire world has been severely affected due to the outbreak of COVID-19 in the year 2020 and education sector was the most affected one due to lack of physical interaction between teachers and students. This has made learning very challenging in undergraduate programs. The colleges chosen for the study have introduced innovative strategies to make learning more interesting and effective. In the present study, an attempt has been made to analyze the effectiveness of online learning on the students of under graduate programs. The information for the study was collected from the students of both private and government colleges of Dakshina Kannada district. The findings of the study revealed that students are satisfied with the teaching through online mode during COVID-19 as there was no other alternative available for teaching-learning process. It was also observed that gender and place of stay of the students had an imperative impact on the effectiveness of online learning as well as satisfaction level of the students of undergraduate programs.

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COVID-19, Effectiveness and Online learning, Gender based learning, Performance, Pandemic

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Antioxidant, oxidative stress, phenols flavonoids FRAP, DPPH

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Restaurants generate massive amounts of data, which, when utilized properly, may be a treasure trove for a restaurant's success. The next question is what technologies restaurants can use to collect and organize this data so that it can be examined and used to make decisions. Apart from the obvious choices of Python, R, Excel, and Tableau. We saw that numerous approaches and algorithms are used to efficiently solve problems in the field of computer science; we speculated that these techniques and algorithms could be utilized to solve problems in a different field, such as the restaurant industry. Although restaurant data analytics aren't a miracle solution for increasing sales overnight, they can help. Making a lucrative business decision can also be done using a variety of strategies and algorithms.

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Restaurant data analysis, Caching, Pre-emptive SJF, Resource Allocation Graph.

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Narrative Techniques, Fiction, Point of View, Theme, Character, Setting

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Raspberry pi3, GSM. GPS, SD card, Pi camera. L293d motor driver, DC motor.Apr33a3 voice module, LCD display. .

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In the early months of the COVID-19 pandemic with no designated cure or vaccine, the only way to break the infection chain is self-isolation and maintaining the physical distancing. In this paper, we present a potential application of the Internet of Things (IoT) in healthcare and physical distance monitoring for pandemic situations. The main aim of the project is to build a covid-19 safety device which is used to monitor the sensor data into the thingspeak platform which the user access from anywhere in the world. To identify the number of covid-19 cases in region has using fuzzy mamdani algorithm, raspberrypi3.This system uses GPS module to track the person. Pi camera is used to detect the mask whether the person is wearing a mask or not. This system gives the Buzzer alerts if the sensor data exceed threshold value or if the person does not wear a mask. The status of the project will displays on LCD.

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IOT, health monitoring, smart healthcare, pandemic, fuzzy inference system, machine learning, fuzzy logic, covid -19

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 Abstract

???????? ??? ??? ????? ?????? ?? ???????????? ???? ??? ??????? ????? ?????? ?? ??? ?????? ????? ?????? ????? ??? ??????? ?? ????? ????? ?????? ????? ?? ??????? ??? ???????? ?? ???? ?? ?????? ???? ??? I ??? ??? ??, ?????? ?? ?????????? ????????? ??? ???????? ??? ?? ????? ??? ?? , ?? ?????? ?? ?????? ???? ?? I ?????? ??????? ?? ???? ???? ?? ??? ??????? ?? ?????, ?????? ?? ?????? ??? ?????? ?? ???????? ???? ????????? ??? ???????? ?? ????? ???? ??? ?? I ??? ??? ??? ??????? ?? ?????? ????? ?? ????? ?? ??? ????????? ?? ????? ???? ??? ?? ?????? ??????? ?? ???????? ???? ?? ??? I ?? ?????? ?? ??????? ??? ????, ????????? ???? ??? ???? ?? ???????? ???? ??? ?? I ????? ?????? ????? ?? ??????? ?? ??????? ?? ???? ??? ??? ??????? ?? ????????, ????, ??????? ??????? ?? ???? ?? ???????? ?? ????, ??????? ????? ?????? ???? ?? ????? ?? ??? ???????, ????????, ???? ?????, ?? - ?????, ???? ?????? ?? ?????? ???? ??????? ?? ???????? ???? ??? ??? ??????? ????? ??? ??????? ??? I ??????? ?? ???????? ??? ????? ?????? ????? ?? ??????? ??? ???? ?? ???? ?? ????? ????? ??? ??????? ??? ???? ????? ?? ???? ?? ????? ???? ?? ???? ?? ?? ???? ????? ?? ???? I ?????? ??? ??????? ????? ?????? ?? ??? ?????? ????? ?? ??????? ??????? ?? ????? ????? ?????? ????? ?? ??????? ??? ???? ???? ??? ???????? ?? ???? ???? ???? ??? I ??????? ??????? ?? ???? ?? ????? ?????? (??.??.??.), ??????, ??????????, ????????, ?????? ???????? ??? ???? ???? ??? ????? ?????? ????? ?? ??????? ??? ???????? ?? ???? ???? ???? ??? ???? ????? ??? ???? ???? ?? ???????? ?? ???? ?? ?? I ????? ?????? ????? ?? ??????? ??? ??????? ??? ???? ????? ??? ???? ???? ??? ?????? ?? - ????? ????? ??? I ?????? ???? ?????? ?? ??????????? ?????? ?? ?? I ?? ???? ?? ????? ?????? ????? ?? ??????? ??? ??????? ????? ?????? ?? ????? ?? ????? ???????? ?? ???? ?? ???? ??????? ??????? ?? ???? ?? ?????? ???? ???? ?? I ??? ???? ?? ???? ?? ???? ???? ??? ???????? ?? ???? ???? ?? I ???? ???? ??? ????? ???? ??? ???????? ?? ???? ?? ?? I ????? ??? ??????? ??? ???? ????? ??? ???? ???? ??? I ??? ???? ?? ?? - ????? ????? ??? ?? ????? ???? ?????? ?? ??????????? ?????? ?? ?? ??? ?? ???? ?? ????? ?????? ????? ?? ??????? ??? ??????? ????? ?????? ?? ??? ?????? ????? ?????? ????? ??? ??????? ?? ???????? ?? ???? ??? ???? ?? ???? ?? ?????? ????? ??????? ?? ????? ??????? ??????? ?? ???? ?? ????? ?????? (??.??.??.) ??? ?????? ??????? ??? ??????? ??? ??-????? ?? ?????? ???? ?? ?????? ???? ??????? ???? ??? ???? ???????? ??? ?????????? ?? ??????? ??????? ???? ??????? ??? ??????? ??? ?? - ????? ?? ?????? ???? ????? ???? ??? ?????? ???? ?? I ???? ??? ?? ??????? ?? ??? ????? ???????? ??? ?? ??? ????? ?? ??? ????? ???? ??? ????? ?????? ??? ??? I

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??????? ????? ?????, ?????? ????? ?????? ???? ?? ?????, ????? ?????? ????? ?? ????? |

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Artificial Intelligence, Neuropsychology, Positivism, Human race

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There are two main crop seasons in Karnataka viz., Kharif or the season of summer crops, and the Rabi or the season of winter crops. Therefore, sowing in Karnataka, in the Kharif season begins generally on the onset of southwest monsoon in mid-June, while the Rabi season starts at the beginning of cold weather season, i.e., at the end of October or early November, when the monsoon has receded. The main food crops grown in Kharif season are: Rice, Ragi, Jowar, Bajra, Maize, Pigeon-pea, Green gram, Black gram, Groundnut, and Sugarcane. These crops require high temperature and plentiful supply of water. The food crops of Rabi season are: wheat, Lentils, Barley, Bengal gram, Peas, Tur, Cotton and Patatoes. These crops require cool weather and moderate supply of water.

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Key words: Cropping pattern, growth, area, production, yield, food crops.

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The traditional claims of various parts of any species of Cassia are claimed as anthelmintics. The present study was investigated the anthelmintic activity of Cassia mimosoides leaves against earthworm and roundworm. Five different concentrations (5, 15, 25, 50, 75 mg/ml) of aqueous, chloroform, acetone, and petroleum ether extracts were tested against worms. It involved the determination of time of paralysis (P) and death (D) of the worms. The aqueous extract showed a more significant effect on paralyzing the worms. The effect of extracts on the paralysis and death of the Pheretima posthuma, according to the results indicated as aqueous > Chloroform > Petroleum ether >Acetone extracts. The effect of extracts on the paralysis and death of the Haemonchus contortus, according to the results indicated as aqueous > Acetone > Petroleum ether > Chloroform extracts. Piperazine citrate was used as a reference standard drug were normal saline water as a control. Leaves of Cassia mimosoides of family Caesalpinaceae showed as a good remedy in worm infections. The results of in vitro trials of Cassia mimosoides proved its anthelmintic property at a higher dose.

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(Cassia mimosoides L., Anthelmintic, Pheretima posthuma, Haemonchus contortus.)

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The study was carried out during the period February-April, 2018 at Kukobila Nasia Farms Limited, to evaluate performance of the centre pivot irrigation systems (pivot one and two) at six (6) different operating speed levels (43 m/h, 68 m/h, 85 m/h, 102 m/h, 136 m/h and 170 m/h) to ascertain the speed which gives best uniformity and efficiency of water application. The study revealed that CU obtained from centre pivot one and two ranged from 80.3-86.9 % and 75.6-84.4 % respectively. Similarly, DU computed from pivot one ranged from 60.2-68.5 % whereas pivot two had DU ranging from 65.3-73.2 %. DU increased as the speed of operation of centre pivot increased as general trend. The lower values recorded for pivot one at 170 m/h and 102 m/h operating speed levels and that of pivot two at 136 m/h operating speed were attributed to wind drift. The SC obtained from pivot one and two were above the lower acceptable limits and ranged from 1.46-1.66 and 1.37-1.53 respectively. Ea of pivot one ranged from 80.3-98 % except at 170 m/h operating speed which recorded Ea of 56 %. Similarly, pivot two had Ea ranging from 51-89 % with Ea from operating speeds of 102 m/h and 43 m/h meeting SABI norms. The values of PELQ were low and unacceptable as they ranged from 35-73 % and 38-61 % for pivot one and two respectively. The values of AELQ were also low as they ranged from 34-64 % for centre pivot one and 35-56 % for center pivot two. Wind distortions of sprinkling uniformity and standardisation of pivot operating speed to match with crop water requirement were major constraints to attaining high application efficiency. Periodic inspection, cleaning and replacement of clogged and or worn-out nozzles and night irrigation during windy periods should be done.

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Coefficient of Uniformity, Distribution Uniformity, Scheduling Coefficient, Application Efficiency, Potential Application Efficiency of Low quarter and Actual Application Efficiency of Low quarter

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Background : Opioid Free Anesthesia (OFA) is an anesthetic technique that avoids intraoperative opioids to minimize side effects of opioids, reduce the need for postoperative opioids and produce better postoperative outcomes. This study aims to analyze the comparison of the side of OFA and opioid anesthesia (OA) in elective surgery patients at Dr. Hospital Soetomo Method : This study is an experimental study with Single Blind randomized involving adult patients undergoing elective surgery from May 2021 to August 2021 under general anesthesia for airway management intubation at RSUD DR. Soetomo. Side observed were Wong Baker Face Scale (WBFS), incidence of hypoxia, ileus, delirium and postoperative nausea and vomiting. Results: 60 samples obtained 30 subjects in the control group and 30 people in the treatment group with 23 male and 37 female. Evaluation of postoperative pain found 5 subjects with moderate-severe WBFS scale in the control group and 3 subjects in the treatment group (0.706); and significant differences in the incidence of hypoxia (9 subjects in the control group and 2 subjects with hypoxia (p = 0.020); ileus in the form of 14 subjects in the control group and 2 subjects in the treatment group (p = 0.002); the incidence of delirium (p = 0.026) in the form of 8 subjects in the control group. and 1 subject in the treatment group, and the incidence of nausea and vomiting (p=0.012) in 14 subjects in the control group while 5 subjects in the treatment group. Conclusion: Both groups received adequate analgesics so that they had similar WBFS, but the incidence of side was significantly different in the two groups where the incidence of hypoxia, ileus, delirium, and postoperative nausea and vomiting are lower. So that OFA could be considered as an anesthetic technique of choice.

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delirium, hypoxia, ileus, nausea and vomiting, opioid free anesthesia, WBFS

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