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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 Keywords

zinc, peritonitis, wound dehiscence.

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 Abstract

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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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 Keywords

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

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 Abstract

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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 Keywords

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Jenmikaram,Kudikidappukar,Varamdars

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