Volume 9 | Issue 12

 Abstract

Patients with peritonitis have a high risk of wound dehiscence. Wound healing disorders, often occur in peritonitis conditions, could result from a relative zinc deficiency in peritonitis conditions. Zinc concentrations in the blood of septic subjects were often found to be low due to peripheral redistribution of zinc to the liver. This research was a randomized experimental research. A total of 36 male rabbits were induced to peritonitis by injecting 4ml/KgBW 10% autologous faecal solution and after six hours underwent exploratory laparotomy. The treatment group was then given zinc syrup supplementation of 10ml/KgBW per day for up to 5 days postoperatively. Wound healing was observed using wound dehiscence gradation system from World Union of Wound Healing Societies. However, there was no difference between the two group as there were no wound dehiscence observed in both group.

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zinc, peritonitis, wound dehiscence.

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Suryanamaskar, waist hip ratio, balance, physical fitness index, overweight.

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augmented reality, gaming platform, tabletop games

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Food inflation, Bottom of the Pyramid, Macroeconomic, Inflation-adjusted Income Pyramid, Wage boost

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D flip flops are classified into two types: static and dynamic. The dynamic D flip flop is the subject of this study. The complex design of TSPC is accompanied by clock and reset setup (True single phase clocked). When it comes to its job and switching operation, the clock and rest signal absorb a lot of power. This makes it an interesting research field where improvements to the power consumption of the TSPC-based D flip flop are needed. Power consumption increases below 16nm due to effects such as DIBL or GIBL, which must also be improved. In this paper, a new TSPC-based D Flip Flop with Gates Tied Mode (Multi-Threshold CMOS Logic) sleep signal injection is proposed for low power applications to reduce power consumption. To reduce the short channel effects in MOS, this work employs low power dependent MOS such as GNRFET. This paper focuses on low power consumption by the use of GNRFETs in 16nm technology

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- GNRFET, 16nm, gates tied, TSPC, DFF

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Pandemic had a great influence in shaping a human society and politics throughout the world. From the earliest times to the present, pandemics have affected human history in myriad ways: demographically, culturally, politically, and financially and biologically. Corona virus disease is a respiratory infection that is recognized as a serious global public health threat. COVID-19 affects different people in different ways. Most infected people will develop mild to moderate illness. Most symptoms include fever, dry cough, tiredness and difficulty in breathing. A cross sectional study was conducted to assess the Knowledge regarding Covid-19 Pandemic among nursing students of ibn Sina College of nursing and health sciences Ompora budgam. In present study quantitative research approach was used. The sample size was 60 nursing students. The data was collected by using structured knowledge questionnaire which were designed to assess the knowledge regarding Covid-19 pandemic among nursing students of ibn Sina College of nursing and health sciences Ompora budgam regarding Covid-19. The Findings of the present study revealed that the frequency and percentage distribution of knowledge among Nursing students of Ibn sina college of nursing and health sciences Regarding COVID-19 were 40 (67 %) students were in adequate knowledge (7-9) Category 20(33% ) students were in moderate knowledge(4-6) and 0(0%) students were in inadequate knowledge (0-3) category.the mean and the knowledge score among students regarding Covid-19 pandemic is 6.75 with a S.D of 0.70, Range 3 and Median 7.00. The study was concluded that there is a adequate knowledge regarding Covid -19 pandemic among nursing students of ibn Sina College of nursing and health sciences Ompora budgam regarding Covid-19.

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Knowledge, Assess , cross sectional study, Covid-19 pandemic

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North East India has been witnessing a series of socio-political movements in the ethnic line since the time of independence of the country. Almost every community of this region is seen to be resorting to such movements for registering its demands. Such demands of a particular group are also noted to be changing with the passing of time in response to changing socio-political contexts. But Indian and regional political elites have been utter failures in resolving the longstanding demands of various ethnic communities leading to socio-economic and cultural anxieties. In view of the prevailing exclusionary tendencies it may be contended that most of the institutional means of accommodation such as granting autonomy to particular ethnic groups in a particular region and even the formation of separate state for some communities failed to yield desired results. The exclusionary tendencies created by both the governments and the dominant communities lead to the ethnic assertion of certain ethnic communities. This paper is an endeavour to engage with the question of whether these proliferating ethno-national movements can be understood as the reflections of the top-down model of nationalism of the larger Indian state or they can be read as something more organically evolved at their local specific situations such as exclusionary tendencies.

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Social Exclusion, Ethnic Nationalism, Identity Assertion, Northeast India

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Hindustani music and Carnatic music are the two major types of Indian classical music that are performed. Raga is the fundamental concept in Indian music on which whole melody of a performance is based and comprises of group of swaras ranging from 5-8 notes. The Raga is the base of Indian Classical Music. The behaviour of the Raga is recognized by Swara notes movement. The Raga may be sung as per emotions, environmental situations and events at a particular time. The Mel Frequency Cepstral Coefficient (MFCC) features extraction technique from the Digital Signal Processing. This paper describes a technique that uses Radial Basis Function Neural Network (RBFNN) to recognition Indian Music Raga’s. The proposed feature extraction and classification models results in better accuracy in recognition Indian Music Raga’s.

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Music Signal, Raga’s, Feature Extraction, Mel Frequency Cepstral Coefficient (MFCC), Radial Basis Function Neural Network (RBFNN)

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Automatic instrument sound classification is very useful in music analysis. This system tested in ten different classes of musical instrument sound from two different instruments. The accuracy of the classification relies on the strength of the features and classification scheme. In this paper, Mel-Frequency cepstral coefficients (MFCC) features are extracted from the input Signal and describes a technique that uses K-Nearest Neighbour (KNN) to classify music. The proposed feature extraction and classification models results in better accuracy in music genre classification.

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Music Instrument Signal, Feature Extraction, Mel-Frequency cepstral coefficients (MFCC), K-Nearest Neighbour (KNN)

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Jenmikaram,Kudikidappukar,Varamdars

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News, Stereotypes, Media images, Crime reportage, Spectacle, Speculation

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Key Word: Students, Suicidal behaviour, coping strategies

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There has been rapid development in the research area of deep learning in recent years. Deep learning was used to solve different problems, such as visual recognition, speech recognition and handwriting recognition and has achieved a very good performance. Convolutional Neural Networks (ConvNets or CNNs) are used in deep learning, which are found to give the most accurate results specially in solving object detection problems. In this paper we'll go into summarizing some of the deep learning models used for object detection tasks, performance evaluation metrics for evaluating these models, applications of Object detection, challenges in object detection and its future scope.

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Convolutional Neural Networks, Deep Learning Methods, mAP, Object Detection.

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As we know there is a strong need of English language in respect of writing and speaking for technical colleges students. The aim of this paper to publish is to find out whether there is any change in the attitude of students towards English Language proficiency when they come for college education after completing the school education. Change in the attitude of students from school to college was evaluated in terms of marks, interest towards English language, self- motivation to learn the language, participation in the class, understanding the importance of English in securing a job etc. Total 120 first year Engineering students from Uttar Pradesh have been selected for the study. To evaluate their attitude towards English language proficiency, a questionnaire was set up and a group interview was conducted. The findings of the research indicated that there was a significant shift in their attitude towards English language proficiency.

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Abstract : "Every girl, no matter where she lives, no matter what her circumstance, has a right to learn. Every leader, no matter who he or she is or the resources available to him or her, has a duty to fulfil and protect this right."Malala Yousafzai, Student, Nobel Peace Prize Laureate, and Co-Founder of the Malala Fund, in the foreword to the research report 'What Works in Girls' education. Education is an essential part of living life whether it is boy or girl. Education plays the most important role in protecting the rights of women. It also helps in preventing discrimination on the basis of gender. Education is the first step in empowering women to choose the path of life on which she leads. An educated woman possesses the skills, information, talent and self-confidence which makes her a better mother, employee and resident of the country. Women constitute almost half of the population of our country. Men and women are like two sides of the coin and they need equal opportunity to contribute to the development of the country.Girls have the right same right to education as boys. Educated girls can make informed choices - and from a far better range of options. Educating girls saves lives and builds stronger families, communities and economies. An educated female population increases a country's productivity and fuels economic growth. Some countries lose more than $1 billion a year by failing to educate girls to the same level as boys.In earlier times the education of girls was never considered necessary but with the passage of time people have realized the importance of girls education. It is now considered as the encouragement of girls in the modern era. Now women are competing with men in all walks of life but still there are some peopleThose who oppose girls' education because they believe that girl's work is limited to home and they feel that spending money on girls' education is a waste of money. This view is wrong because education of girls can bring change in the society.

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Education, Discrimination, Adolescent, Unjust Behavior, Holistic.

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Retting is a traditional process of soaking green coconut husk in water for making coir fibre. The waste disposal from the coconut husk retting causes increases of toxic ingredients such as acids, alkalis, suspended solids, polyphenols, pectin, tannin etc. make threatening effect on aquatic organisms. Kolpadam kadavu is a part of Ashtamudi Lake and it is the region having intense retting activity and traditional coir manufacturing unit for many years. The present investigation was carried out to analyse the haematological and biochemical changes in the impact of retting on fish population at Kolpadam Kadavu. The physico-chemical parameters such as water temperature, pH, salinity, dissolved oxygen, carbon dioxide, biological oxygen demand, turbidity, nitrate, hydrogen sulfide, total phenol, etc. were analysed seasonally during 2018-2019. Fish Arius subrostratus collected from Kolpadam kadavu was subjected to analysis of biochemical parameters such as total protein, glycogen and total amino acids to find out the impact of retting activity.

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Arius subrostratus, biochemical, coconut husk, Kolpadam kadavu, retting.

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In smart ambulance provide digital healthcare services using different sensors like heart rate sensor, blood pressure, ECG will be judging reports of patients, will be send to hospital's management system by using Microcontroller Arduino message through cloud server.

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IOT, Microcontroller Arduino, Smart ambulance, Cloud server

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Attitude, affiliated, Pupil Teachers and temporarily

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Drowsiness is a huge reason for road accidents and Data Science is the best possible cure for it. This detection system is a road safety technology that can prevent accidents from happening that are caused by the drivers who fell asleep while driving. According to the survey, 21 percent of all fatal accidents are due to drowsy driving. 60 percent of drivers or about 167 million people in the world have driven a vehicle feeling drowsy or in a fatigue in the past years. This turns out to be a huge problem not only for the driver but also for the pedestrians and other drivers. This system is a safety system that alerts the driver whenever he feels drowsy. The eyes movement of the driver is monitored live and whenever the driver feels asleep or closes eye for more than 2 seconds, then it will detect and alert the driver using a buzzer, vibrator or a water sprinkler. Basically, our aim is to prevent accidents from happening using image processing and deep learning.

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Driver Drowsiness Detection System, Eyes Detection, Face Detection, Fatigue Detection, Visual Behaviour, Road Safety System

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In this paper I have defined the concept of Quotient matrix ( under certain conditions) and proved parallel results..

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Quotient Matrix

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