Genetic Analysis of ABO and Rh Blood Groups in Brahmin Population of Uttar Pradesh, India”

A series of glycoprotein and glycolipids on the red blood cell surface constitute blood group antigens. These are A, B, AB and O in ABO blood group system and Rh in rhesus blood group system. These antigens are genetically controlled. Certain diseases have been shown to be associated with certain blood groups. In the present study an attempt is made to study the distribution of ABO and Rh. (D) blood group systems among the Brahmin caste population of Uttar Pradesh State. A total of 200 unrelated Brahmin individuals from Uttar Pradesh were studied for the phenotype and allele frequency distribution of ABO and Rh (D) blood groups. The order of occurrence of ABO phenotypes is B>O>A>AB. The corresponding allele frequencies of O, A, and B alleles are found to be 0.5790, 0.1510 and 0.2697 respectively. The allele frequency of D (0.735) is more than d (0.265). The present study was compared with the other studies reported to understand the affinity between them

Spectral Measures of Loudness in Patients with Ataxic Dysarthriag

Dysarthria refers to a group of speech disorders characterized by neuromuscular involvement. This may affect different subsystems of speech like respiration, phonation, articulation and prosody differentially. Ataxic dysarthria is caused due to damage to the cerebellum. Excessive fluctuation in loudness or monoloudness typically characterizes ataxic dysarthria. These characteristics may be different in ataxic dysarthria due to lesions in different cerebellar loci. There is a need to address the spectral measures related to loudness in patients with lesions in different cerebellar loci.Seventeen subjects with ataxic dysarthria due to lesions in different cerebellar loci and matched controls performed an alternating motion rate (AMR) task. The recorded and digitized speech samples were analysed for spectral measures of maximum and minimum intensity. Intensity range was reduced in subjects with left (left superior paravermal, left anteroinferior), superior vermis, right superior paravermal and right anterosuperior lesions compared to normal controls in AMR task. It was comparable to normal controls in subjects with right posterosuperior lesions. Reduced intensity range seems to be because of increase in energy minima and decrease in energy maxima or due to decrease in energy maxima only

Hybrid recommendation system using product reviews

Abstract. Several businesses/smart applications rely on personalizing their services to adapt to the user’s preferences. Personalized services are developed using recommendation systems based on user’s feedback on products/services, needs, habits and social or demographic characteristics. Several businesses from e-commerce (suggesting users what to buy) to hospitality services (suggesting which hotel to book) focus on using recommendation systems to achieve a personalized experience for their users. Majority of recommendation systems make use of only product ratings shared by the users, this may pose challenges like sparsity of ratings. The wide availability of other attributes of products or users like textual product reviews provided by users or product descriptions in e-commerce and hospitality domains present a gold mine of additional personalising information with which to supplement their ratings based recommendation system. Recommendation systems majorly involves two tasks: rating (predict ratings that user might assign to a product) and ranking (recommend products based on predicted rank scores) prediction tasks. In this thesis, we propose a novel hybrid recommendation system using the state-of-the-art DeepFM model which makes use of multiple textual features derived from product reviews particularly contextual sentence embedding vectors, average sentiment scores and linguistic cues such as presence/absence of negation in the product reviews in combination with ratings shared by users to enhance the prediction of the desired ratings or rank scores. We evaluated our system with commercial datasets from Amazon and Datafiniti for both tasks: predicting rating and recommendations based on predicted rank scores. We utilised different metrics for both types of tasks. From our evaluation we infer that using contextual sentence embedding vectors extracted using BERT, average sentiment scores and presence/absence of negation in the product reviews obtained from VADER, does impact the prediction of ratings and recommendations based on predicted scores of the recommendation system which only utilises product ratings as user preferences. Furthermore, we can conclude from our evaluation that (A) contextual embedding vectors and average sentiment scores together along with ratings in the proposed hybrid system improves prediction of desired ratings, (B) contextual embedding vectors, average sentiment scores and presence/absence of negation in the product reviews together along with ratings in the proposed hybrid system improves prediction of desired ratings as well, (C) contextual embedding vectors and average sentiment scores together along with ratings in the proposed hybrid system improves recommendations based on rank scores

Small step for a big cause

My name is Jasna Jaffer. I am a second year Degree student studying in KMEA College, Aluva. I belong to Nettoor and is a part of Maradu Muncipality, Ernakulam. Near to our area is the International vegetable market and besides this market is situated the water treatment plants, post Office, agriculture training centres and soil testing centre. I am a student, social activist and a farmer. I have been honored with the School topper award, Best student of the School, Eastern bhoomika iconic women award for social activities, Best agriculture student of Maradu Municipality, Akshayasree award, Inpham award and also treceived the District level agriculture student award by state government

A Review on Advancements in Optical Communication System

Communication systems are revolutionized by the tremendous research being done in this direction. The need is the mother of the invention. The need of data transfer in increasing every day. There is the big demand for the fast optical communication systems. The optical fibers have the big potential of carrying the different channels which can transmit the data at amazing speed. In this work we have studied the research done in the field of technological development taking place in fiber communication system. The focus is on the use of fiber link as a modern medium of communication in the optical range.Communication system, Optical data transfer, Channel, Fiber link, Optical range

Efficacy of Communication Strategies in Augmenting Quality of Life and Participation in Individuals with Aphasia

Use of communication strategies are recommended frequently to individuals with aphasia in order to enhance their communication and societal participation. This study aims to explore the efficacy of communication strategy usage in persons with chronic aphasia and their communicative partners. For this purpose, interviews were conducted with five women and six men with chronic aphasia (N =11) and a qualitative analysis of the same was done. Different factors related to individuals with aphasia, their caregivers and topics of conversation were found to affect the efficacious use of communication strategies. The most important among this was the care givers awareness regarding the need and usage of communication strategies. It was evident from the current research that caregiver training on communication strategies should be an integral goal of aphasia rehabilitation. This will inturn enhance rehabilitation and integration of individuals with aphasia for societal participation

Survey of Different Data Dependence Analysis Techniques

Dependency analysis is a technique to detect dependencies between tasks that prevent these tasks from running in parallel. It is an important aspect of parallel programming tools. Dependency analysis techniques are used to determine how much of the code is parallelizable. Literature shows that number of data dependence test has been proposed for parallelizing loops in case of arrays with linear subscripts, however less work has been done for arrays with nonlinear subscripts. GCD test, Banerjee method, Omega test, I-test dependence decision algorithms are used for one-dimensional arrays under constant or variable bounds. However, these approaches perform well only for nested loop with linear array subscripts. The Quadratic programming (QP) test, polynomial variable interval (PVI) test, Range test are typical techniques for nonlinear subscripts. The paper presents survey of these different data dependence analysis tests

Energy Efficient Photovoltaic Systems using Thermoelectric Cooling System

Dual thermoelectric-photovoltaic (TE-PV) systems are a type of solar energy technology that combines two different technologies to generate electricity by concentrating solar radiation. These systems use a solar concentrator to focus sunlight onto a photovoltaic cell and a thermoelectric generator. The aim of this paper is to develop a dual thermoelectric-photovoltaic system with a water-cooled heat sink to generate electricity from concentrated solar radiation through Fresnel lenses.In addition, the detailed design for the components that will be integrated into an experimental prototype of the dual system on a laboratory scale is carried out and its functionality is determined. Finally, its functionality is evaluated and achieved an estimated maximum power of 1.5 Watts