The Truths in the Songs of the Woman's Statement in Ainkurunooru Kurinjithinai

Ainkurunooru of the Sangam literature has the lowest number of feet. This book serves as a mirror to capture the events that take place in the lives of similar people who are in love. In it, there are twenty-one songs sung by Kapilar in Kurinjithinai songs, which are composed of the woman's statements. The songs are full of reality and show the events that take place in the mind. Among the realities mentioned by the Tolkappiar are the reality of crying, with movement as the stationary field the reality of lightness is because of tenderness, and the reality of fear in the substance of its God The reality of pride is centered on the truth in the materiality of innocence. In this article, it has been explained and examined that the reality of the ego is also based on perception

Energy Efficient Clustering and Routing in Mobile Wireless Sensor Network

A critical need in Mobile Wireless Sensor Network (MWSN) is to achieve energy efficiency during routing as the sensor nodes have scarce energy resource. The nodes' mobility in MWSN poses a challenge to design an energy efficient routing protocol. Clustering helps to achieve energy efficiency by reducing the organization complexity overhead of the network which is proportional to the number of nodes in the network. This paper proposes a novel hybrid multipath routing algorithm with an efficient clustering technique. A node is selected as cluster head if it has high surplus energy, better transmission range and least mobility. The Energy Aware (EA) selection mechanism and the Maximal Nodal Surplus Energy estimation technique incorporated in this algorithm improves the energy performance during routing. Simulation results can show that the proposed clustering and routing algorithm can scale well in dynamic and energy deficient mobile sensor network.Comment: 9 pages, 4 figure

AB Initio and vibrational studies of the synthesized Heterocyclic Compound 2-6-oxo-2-thioxotetrahydropyrimidin-41H-ylidene hydrazine carbothioamide

The structure of the newly synthesized hydrazone derivative 2 - 6 – oxo - 2-thioxotetrahydropyrimidin – 4 1H - ylidene hydrazine carbothioamide OTTHPYHCT compound is determined by using spectral information and elemental study. Density functional theory DFT studies were performed using the B3LYP/6-31G d, p basis set to expand imminent into their structural properties. Frontier molecular orbital FMOs analysis of title compound was computed at the same level of theory to get knowledge about their kinetic stability. Global Reactivity descriptors are determined to explain the biological activity of the molecule. First hyperpolarizability analysis nonlinear optical response were simulated at the B3LYP/6-31G d, p level of theory as well. Thermodynamic parameters explain vibrational intensity of the molecule

R Tool Analysis of Gripper Motor Rehabilitation for Post Stroke Therapy

Today, cerebral stroke issues are one of the most terrifying disorders in the clinical era, in which the most common people are highly affected. Worldwide, more than 20,00,000 individuals are exposed to stroke problems like hemiplegia, consistently, where 70% of them pass away at the instance of stroke. Among the survival group after the treatment, more than 85% of them are exposed to long term permanent disability. The affected community practice themselves to survive along with disability due to financial instability and reachability. While comparing with western standards, developing nations like India need keen attention to improve the medical standards. In order to treat the affected at the instance of stroke, home based methodologies shall be introduced for better performance and to improve the standard of daily living. This project involves a gripper motor based regulator for wrist and fingers incorporated with Arduino 328P. This device is a textile fabric tailored with 5 gripper motors to actuate each fingers as a part of post stroke rehabilitation

Fugl Meyer Assessment for Paralytic Glove with Micro Motor Configurations to Assist Post Stroke Therapy

Today, brain attack disorders are one of the most life-threatening areas in the medical era, which the mankind is facing nowadays. Globally, more than 10, 00,000people are subjected to brain attack disorders like hemiplegia and tremor, every year, where two-thirds of them survive. Among the survival community, more than 80 per cent of them are subjected to long-term impairment of their upper extremity. In order to treat the impairment, the survival group is subjected to medications and rehabilitation in order to improve their daily living. But the facilities are very limited in fast- developing countries like India when compared to western standards. The rehabilitation given in corresponding with medications during the treatment period in hospitals does not give a complete recovery from disability. People from rural background could not meet their rehabilitation requirements even in the hospital during treatment and also when they are discharged to home after treatment from hospitals due to financial constraints and reachability. In order to motivate the survival group to fulfill their daily living and improve their lifestyle, this paper is focused on intelligent home-based rehabilitation system at low cost, reliability, and affordability. One major movement disorder namely Upper Arm Hemiplegia was taken into account and visited few major hospitals around Coimbatore and Chennai for literature and case study. The facilities available in various hospitals and their drawbacks were analyzed. Based on the studies conducted at hospitals and taking advice from therapists, an innovative low-cost home- based rehabilitation device using Electro-Mechanical systems has been developed to support samples who were used to impaired living even after treatments. To support Upper Arm Hemiplegia patients, the devices which were developed and experimented with Fugl Meyer Assessment to analyse the improvements in different functionalities are discussed in this paper

Optimization of alkaline protease production from Pseudomonas fluorescens isolated from meat waste contaminated soil

A protease producing bacteria was isolated from meat waste contaminated soil and identified as Pseudomonas fluorescens. Optimization of the fermentation medium for maximum protease production was carried out. The culture conditions like inoculum concentration, incubation time, pH, temperature, carbon sources, nitrogen sources and metal ions were optimized. The optimum conditions found for protease production was 37°C at pH 9, with 2% inoculum in the medium for 24 h. Wheat bran and peptone stimulates the production of protease. Magnesium sulphate has less inhibitory effect among the metal ions tested

A Novel Approach for Optimization of Convolution Neural Network with Particle Swarm Optimization and Genetic Algorithm for Face Recognition

Convolutional neural networks are contemporary deep learning models that are employed for many various applications. In general, the filter size, number of filters, number of convolutional layers, number of fully connected layers, activation function and learning rate are some of the hyperparameters that significantly determine how well a CNN performs.. Generally, these hyperparameters are selected manually and varied for each CNN model depending on the application and dataset. During optimization, CNN could get stuck in local minima. To overcome this, metaheuristic algorithms are used for optimization. In this work, the CNN structure is first constructed with randomly chosen hyperparameters and these parameters are optimized using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm. A CNN with optimized hyperparameters is used for face recognition. CNNs optimized with these algorithms use RMSprop optimizer instead of stochastic gradient descent. This RMSprop optimizer helps the CNN reach global minimum quickly. It has been observed that optimizing with GA and PSO improves the performance of CNNs. It also reduces the time it takes for the CNN to reach the global minimum

Correlation of vitamin D levels and gestational diabetes mellitus

INTRODUCTION: Vitamin D deficiency or insufficiency is currently a global pandemic affecting some one billion of all ages and ethnic groups. Gestational vitamin D deficiency is common. Reports from developing (such as Bangladesh, India, Iran, Pakistan, Somalia) as well as developed countries (such as Australia, Finland, Japan, the Netherlands, United Kingdom and USA) show a high prevalence of vitamin D deficiency. Maternal vitamin D deficiency in early pregnancy has been associated with elevated risk of gestational diabetes mellitus. Other associations with maternal vitamin D deficiency include increased risk of pre-eclampsia, preterm birth, low birth weight and cesarean section and anemia. A positive correlation has been seen between maternal and child vitamin D levels. Vitamin D has direct effects on the innate as well as adaptive immune systems. Vitamin D has an increasingly recognised repertoire of classical action (calcium metabolism) and nonclassical actions (insulin action and secretion, immune modulation and lung development). It therefore has the potential to influence many factors in the developing fetus.The present study demonstrated a significantly greater risk of anemia in pregnant women with severe vitamin D deficiencythan that in normal groups. There is a significant correlation between vitamin D deficiency andanemia.There is little information on vitamin D intake in pregnancy and lactation and few studies on clinical outcomes. The prevalence of Gestational diabetes mellitus (GDM) is increasing globally and India is no exception. According to random National Survey in India (2004), prevalence of GDM is 16.55% and in a hospital survey in 2008, it was found to be 21.6% with GDM and impaired glucose tolerance combined. The known risk factors for GDM include maternal overweight and obesity, race/ethnicity, prior history of GDM, family history of T2DM, history of previous fetal death, macrosomic infant, and increasing maternal age. Recently, it has been found that vitamin D receptors are expressed in large number of other tissues including those involved in the regulation of glucose metabolism, such as muscle and pancreatic beta cells. Therefore it was hypothesised that GDM might result from pregnancy induced insulin resistance and impaired secretion to compensate for it. It is pertinent to establish a fool proof association between maternal Vitamin D deficiency and GDM, its exact mechanism, and to knowthe impact of vitamin D supplementation and its dosage during pregnancy among different sets of population through large case control studies. There is also a gap in knowledge on optimal dosing for pre-existing vitamin D deficiency and the optimal gestational age at which to start the supplementation. Further studies are required during pregnancy not only for maternal skeletal preservation and fetal skeletal formation but also for fetal imprinting that may affect neurological development, immune function, and chronic disease susceptibility soon after birth as well as later in life. METHODOLOGY: Study design: Prospective longitudinal observational study. Study Population: All low risk antenatal mothers as control group and Gestational diabetes mother as study group admitted in PSG hospital – labour ward. Study Locale (geographic area): Department of obstetrics and Gynaecology- Ward PSG Institute of Medical science and research centre, peelamedu, Coimbatore. Sample Size: With reference -Vitamin D status and gestational diabetes mellitus. FORMULA: N =2x(2alpha +2 beta)2 x SD2 = 445.21. Result= 27 in each group. So approximate taking 30 in each group. Sampling Method: All pregnant mothers visiting labour ward will be selected randomly as control group and Gestational diabetes mother as study group. Patients will be randomly allocated to either one of the 2 groups. Hospital based prospective study. RESULTS: Vitamin D levels were compared between GDM patients and normal patients.The comparison of vitamin D levels between GDM and low risk antenatal patients showed statistically insignificant results because i had included only GDM patients who were on diet, need further studies.In both groups vitamin D level is deficient due to changing lifestyle.Women with GDM associated with Vitamin D deficiency tend to present at an earlier gestational age for delivery with complaints of abdominal pain/PROM than normal patients.Women with low vitamin D levels had prolonged duration of labour when compared to low risk women which is statistically significant.There is insignificant association observed between Body Mass Index and Vitamin D status. The association of antenatal maternal vitamin D status with birth weight of neonate yields insignificant relationship. CONCLUSION: Prevalence of Vitamin D deficiency is alarmingly high in pregnant women in India and has become a re-emerging public health issue. There are some limitations that should be noted. The sample size taken was small and hence a large randomized controlled trial is necessary to determine the vitamin D levels in pregnancy and to draw guidelines regarding screening and supplementation.. The comparison of vitamin D levels between GDM and low risk antenatal patients showed statistically insignificant results because i had included only GDM patients who were on diet, need further studies