Female Body Language that is known through the Songs of Natrinai Avvaiyar

During the Sangam age, both male and female poets sang about the situations of women. The thoughts and understandings of women by the male poets are different. The female body songs of the male poets are shown as attractive and for the sake of lust. It is the same that can be seen in the songs of the female poets with a great deal of regret. This article attempts to explain these points. Titled ‘Pen Udal Mozhi (Female Body Language)’, which is known through the songs of Natrinai Avvaiyar, this article explains the information about the body language of a woman in Natrinai, one of the Ettutthokai books (The Eight Anthologies) of Sangam literature. Only four poems of a female poet, Avvaiyar, have been explained in the preface along with the songs of some male poets, feminist thought in Sangam literature, interpretation of body language, eight primary elements of body language, the body language of women, body language, organ welfare fiction, women and makeup, the destruction of organ welfare, conclusion, sub-book list, etc. In this article, it is explained that only the concepts spoken about the woman's body are body language

Choice of parents for developing two line hybrids in rice (Oryza sativa L.)

An investigation was carried out to evaluate two line hybrids in rice for yield traits. Four TGMS lines and eleven testers were crossed in line x Tester design. Greater proportion of sca variance was observed for all the characters which revealed that preponderance of non- additive gene action governing traits concerned and selection procedures based on the accumulation of additive effects would be successful in improving these traits. The line TS09 24 and testers viz., T 2006, KDML 105, Improved white ponni and BPT 5204 were found to be good combiners for the yield and yield components. The best hybrids based on sca value, TNAU 27S x Improved white ponni was derived from low x low combiners for thousand grain weight and TS 29 X ADT 38 for the number of filled grains per panicle spikelet fertility. The best performing hybrid TS 29 x KDML 105 produced 54.25g of grain yield per plant in 128 days which was 92.89 and 85.47 per cent increase over the standard checks CORH 3 and Improved white ponni respectively. This hybrid also recorded 27.32 and 64.30 per cent increase CORH 3 and Improved white ponni for thousand grain weight. Hence, the two line hybrid breeding system, utilizing thermo sensitive genic male sterility is economically feasible as well as viable alternative to cytoplasmic male sterile (CMS) based three line breeding due to much simplified hybrid seed production

Combining ability and heterosis analysis for drought tolerant traits in rice (Oryza sativa L.)

Rice is the most important staple food for more than half of the world’s population and also for most of the countries. A Line x Tester analysis was undertaken to study the nature of gene action for yield and drought tolerant traits. The ratio of SCA and GCA was less than unity for all the characters which revealed that the preponderance of non- additive gene action governing the traits concerned. The lines viz., ADT 43, ADT (R) 49, CO (R) 50 and the testers viz., PMK (R) 3, Chandikar and Anna (R) 4 were adjudged as the best general combiners for drought tolerant traits. The cross combinations viz., ADT 39 x Vellaichitraikar had exhibited significant values for dry root weight (9.66), root/shoot ratio (0.31), root length (3.82), number of roots per plant (37.08), root thickness (0.11), root volume (4.27) and root length density (0.03) ADT (R) 49 x Chandikar for 70 percent relative water content (8.85), dry root weight (18.03), dry shoot weight (40.55), root length (3.10), number of roots per plant (140.16) root thickness (0.38) and root volume (23.14) were found to be specific combiners for most of the drought tolerant traits. The cross combinations, viz., ADT 43 x Anna (R) 4, ADT (R) 49 x Chandikar and ADT 43 x PMK (R) 3 had highly significant standard heterosis. Breeding for drought tolerance in rice would be of immense value to the farmers economic health, family well-being and harmony in the society

Behavioural Manifestations in patients with Alzheimer’s Disease - A Cross Sectional study.

INTRODUCTION: WHO defines dementia as a “syndrome due to Disease of brain, usually of a chronic progressive nature, in which There is disturbance of multiple cortical functions, calculations, Learning capacity, language and judgement. Consciousness is not Clouded. Impairments in cognitive functions are commonly Accompanied, and occasionally preceded by emotional control, Social behaviour and motivation”. Dementia is defined as “ the development of Multiple cognitive deficits that include memory impairment and at Least one of the following: aphasia, apraxia, agnosia, or a disturbance In executive functioning, where executive functioning involves Selection of key information and behaviours for problem solving and The inhibition of inappropriate responses”(DSM IV, TR). The most common causes of dementia in Individuals older than 65 years of age are: Alzheimer’s disease, Vascular dementia and mixed vascular and Alzheimer’ s disease, of Which Alzheimer’s disease accounts for approximately 60% of all Dementias. The prevalence of Alzheimer’s disease is 3 to 5% of People older than 65 years of age and as much as 50% of people Older than 85 years of age. The female to male ratio is approximately 2:1. Patients with Alzheimer’s disease display Characteristic cognitive and non-cognitive symptoms over the course Of the illness. Neuropsychiatric symptoms may be prominent at Presentation or emerge later in the course. Almost all patients are Affected at some point in their disease. Neuropsychiatric symptoms in Alzheimer’s disease have significant consequences. Disorders such As depression, anxiety, and psychosis clearly affect the quality of life Of the patient. Besides being a source of considerable stress, Caregiver burden and potential injury, such disturbances are Associated with increased use of psychotropic medications, patient And caregiver abuse. Non-cognitive symptoms are associated with an Increased risk for institutionalization, which carries with it financial Consequences for the individual and for society. Characteristics of Neuropsychiatric symptoms In Alzheimer’s disease include the following: They may be the sentinel event heralding the onset of Alzheimer’s disease. Several types of symptoms may occur simultaneously, Fluctuate and recur over the course of illness. They tend to become more frequent as the disease progresses. They are associated with rapid cognitive decline and worsen Function. They may lead to institutionalization. Importantly, these Neuropsychiatric symptoms may improve With cholinergic therapy, disease modifying therapy and Psychotropic agents. The Neuropsychiatric symptoms play an Important role in the diagnosis and management of Alzheimer’s Disease. Early identification and treatment of these symptoms Reduces patient’s suffering, caregiver burden and delay Institutionalization

Social and technological dimensions; and constraint analysis in sugarcane cultivation of Theni district of Tamil Nadu, India

Bridging the yield gap in any crop cultivation should be the prime objective of any research efforts. By following the recommended production-cum-protection technologies, farmers can bridge the yield gap in any crop. As per sugarcane is concerned, the average cane yield in Tamil Nadu is 101 t/ha, which is lower than the potential yield of 203.7 t/ha resulting in yield gap of 50.42%. With this in mind, a study has been initiated to explore the social and technology dimensions and constraints involved in cane cultivation to addressing the issue of yield gap. Six blocks from Theni district under Rajshree Sugars & Chemicals Ltd were selected as study area. Information collected from sixty sugarcane farmers with semi structured interview schedule. The study revealed that majority (91.7%) of the respondents had more than 5 years of experience in sugarcane cultivation. Further, it revealed that the technologies, seed rate (83.3%), planting season (75.00%), primary tillage with mould board / disc plough (67%), gap filling, two split application of N and K (58.3%) and Organic fertilizer application  (58.3%), stubble shaving, off baring (50.0%) had adoption rate of more than 50 percentage. Major constraints faced by cent per cent of the respondents were; non availability of labour and high labour cost, prolonged drought and water scarcity, low procuring cost per by sugar factory, yield reduction due to continuous cultivation of sugarcane. The novelty and importance of the study is that it mainly analysis all the sugarcane production and protection technologies from seed rate to harvest in three point continuum viz., fully adopted, partially adopted and not adopted

An Overview of Personalized Recommendation System to Improve Web Navigation

We present a new personalized recommendation system, which means the searches of each user is done according to their interest which is based on ranking or preference method. It also maintains the logs which records the sessions of each user and brings out the exact data required by the user. This is done by fetching the data that is already stored in the database. Web server logs maintains history of page results and consists of a log file which automatically creates and maintains the list of activities performed by the users. For extracting the data according to the user’s previous searches, we are using Stemming Algorithm. The Stemming Algorithm is a process where the exact, meaningful words are extracted from the URL. Because of this process the user’s search time will be reduced. It also improves the quality of web navigation and overcomes the limitation of existing system. In the proposed system we extract user’s behaviour from web server logs in the actual process whereas, in the anticipated system, the user’s behaviour is done with the help of cognitive user model and we perform the comparison between the two usage processes. The data produced from this comparison can help the users to discover usability issues and take actions to improve usability. In the anticipated usage the cognitive user model is done that can be used to simulate or predict human behaviour or by performance and task. Finally, the system is executed by using the top-k ranking algorithm. The advantage of this system are accuracy and better processing speed. The user’s convenience deals with the ease of navigation which helps the users to interact with their interface

N K Algorithm to Lay Milk Line for Transporting Maximum Capacity Through Shortest Route

Abstract This paper describes a N K Algorith

Evolutionary Computation, Optimization and Learning Algorithms for Data Science

A large number of engineering, science and computational problems have yet to be solved in a computationally efficient way. One of the emerging challenges is how evolving technologies grow towards autonomy and intelligent decision making. This leads to collection of large amounts of data from various sensing and measurement technologies, e.g., cameras, smart phones, health sensors, smart electricity meters, and environment sensors. Hence, it is imperative to develop efficient algorithms for generation, analysis, classification, and illustration of data. Meanwhile, data is structured purposefully through different representations, such as large-scale networks and graphs. We focus on data science as a crucial area, specifically focusing on a curse of dimensionality (CoD) which is due to the large amount of generated/sensed/collected data. This motivates researchers to think about optimization and to apply nature-inspired algorithms, such as evolutionary algorithms (EAs) to solve optimization problems. Although these algorithms look un-deterministic, they are robust enough to reach an optimal solution. Researchers do not adopt evolutionary algorithms unless they face a problem which is suffering from placement in local optimal solution, rather than global optimal solution. In this chapter, we first develop a clear and formal definition of the CoD problem, next we focus on feature extraction techniques and categories, then we provide a general overview of meta-heuristic algorithms, its terminology, and desirable properties of evolutionary algorithms