Contour Fractal Dimension Analysis using Square-Box ROI Extraction Approach with Convolution Neural Network Classifier for Palmprint Recognition System

Contour Fractal Dimension Analysis using Square-Box ROI Extraction Approach with Convolution Neural Network Classifier for Palmprint Recognition System (CFDCNNNet) is proposed. To bring about the originality, Contour Fractal Dimension (CFD) feature extraction approach and a Convolution Neural Network (CNNNet) classifier approach are employed. To impart the novelty the CFD feature extraction approach, Two Dimensional-Palmprint Region of Interest (2D-PROI) is captured from five different datasets using Square-Box ROI Extraction approach and point out all the edges/contours of 2D-PROI image (CPI) using Canny edge detection algorithm and then estimate the Fractal Dimension (FD) values using Box-Counting algorithm to create a distinctive feature vector. Classify this feature vector using Convolution Neural Network (CNNNet) classifier approach to identify the authorized person at a higher accuracy rate. This research explores on five different datasets such as CASIA, IITD, BMPD, SMPD and multi--spectral 2D-PROI image databases. The CFDCNNNet System model has been determined the authentication accuracy of different datasets with 98.66% of authentication accuracy

Influence of food allergy on atopic dermatitis in infants and children under 10 years: a study in Iran

Background: Based on the data collected from 220 cases of children and infants in Iran, aged under 2 months to 10 years, over a period of 6 months (2021-2022),there is evidence of a relationship between food consumption and the occurrence of Atopic dermatitis (AD). Methods: It is an institution based Case-Control study. Analytical observational studies. Results: It was found that 28.6% had IgE levels ranging between 150-250 u/ml. The majority of these patients consumed breast milk (n=83) or milk powders (n=75).In terms of the location of AD symptoms, 31.3% of the cases involved the chin and face. Conclusions: The duration of treatment for these patients ranged from 6 to 8 months. Gastrointestinal problems and asthma allergies were also observed among the patients, which could be attributed to an increase in cytokines and pro-inflammatory factors. These findings highlight the influence of food consumption on the development of AD in Iranian children and infants. It suggests that certain foods, including breast milk and milk powders, may be associated with the occurrence of AD in this population

Novel Design of LLC Resonant Converter with Peak Gain Adjustment

The main advantages of a half-bridge LLC resonant DC/DC converter having two inductors (LL) and a single capacitor (C) compared to the other load resonant converters are its less amount of circulating currents and large bandwidth for Zero Voltage Switching (ZVS). It also has the advantage of limited tuning of operating frequency to get the regulated output when variable frequency control method is implemented on the converter. This DC/DC converter is widely used in server and telecom applications due its higher efficiency and reliability. In this paper, a novel design using peak gain adjustment is proposed for a LLC resonant DC/DC converter with a design example of 400V/12V-5A used in server based applications. For the specifications of the converter mentioned, an experimental set up is built and evaluated with the Texas instruments power switch FSFR 2100 IC in closed loop configuration. The experimental results proved an improved efficiency of 94% for the converter with the novel design proposed

Leakage Power Reduction Techniques in Deep Submicron Technologies for VLSI Applications

AbstractThe leakage power dissipation has become one of the most challenging issues in low power VLSI circuit designs especially with on-chip devices as it doubles for every two years[4]-[5]. The scaling down of threshold voltage has contributed enormously towards increase in subthreshold leakage current thereby making the static (leakage) power dissipation very high. According to International Technology Roadmap for Semiconductors (ITRS), the total power dissipation may be significantly contributed by leakage power dissipation [1]. The battery operated devices with long duration in standby mode may be drained out very quickly due to the leakage power. In CMOS submicron technologies, leakage power dissipation plays a significant role. However, various low power design techniques for efficient minimization of leakage power are proposed in the literature review. A comprehensive study and analysis of various leakage power minimization techniques have been presented in this paper. The present research study and its corresponding analysis are mainly focusing on circuit performance parameters. It is implied from the current literature that only an appropriate choice of leakage power minimization technique for a specific application can be effectively carried by a VLSI circuit designer based on sequential analytical approach

Effectiveness of oat meal therapy on blood pressure among clients with hypertension in selected rural area-paravai at madurai

Title: A Study to evaluate the effectiveness of oat meal therapy on blood pressure among clients with hypertension in selected rural area-Paravai at Madurai. Objectives:To assess the blood pressure among clients with hypertension both in experimental and control group ;To evaluate the effectiveness of oat meal therapy on blood pressure among clients with Hypertension; To determine the association of blood pressure among clients with hypertension with their selected demographic and clinical variables.Hypotheses:There is a significant difference between the blood pressure among clients with hypertension before and after oat meal therapy ;There is a significant association between the level of blood pressure and their selected socio demographic and clinical variables. Conceptual Framework: Modified Calista Roy’s Adaptation theory Model(1996). Methodology: Quantitative approach- Quasi experimental :Non equivalent control group design was used. The study was conducted in Paravai. The sample size was 60.In that 30 samples were in Experimental group and another 30 in Control group. Non probability, Purposive sampling technique was used. The intervention applied in this study was Administration of Oatmeal therapy given for 45 consecutive days. On the 46th day post test was done. Results: The obtained mean post test systolic blood pressure measurement score was lower than the mean pretest systolic blood pressure. The obtained ‘t’ value was 7.22 which was statistically significant. The obtained mean post test Diastolic blood pressure measurement score was lower than the mean pretest Diastolic blood pressure .The obtained ‘t’ value was 4.01 which was statistically significant. Conclusion: The study concluded that Oatmeal therapy administration intervention was effective on reducing the level of Blood pressure among Hypertensive clients

A principal components approach to parent-to-newborn body composition associations in South India

Background: size at birth is influenced by environmental factors, like maternal nutrition and parity, and by genes. Birth weight is a composite measure, encompassing bone, fat and lean mass. These may have different determinants. The main purpose of this paper was to use anthropometry and principal components analysis (PCA) to describe maternal and newborn body composition, and associations between them, in an Indian population. We also compared maternal and paternal measurements (body mass index (BMI) and height) as predictors of newborn body composition.Methods: weight, height, head and mid-arm circumferences, skinfold thicknesses and external pelvic diameters were measured at 30 ± 2 weeks gestation in 571 pregnant women attending the antenatal clinic of the Holdsworth Memorial Hospital, Mysore, India. Paternal height and weight were also measured. At birth, detailed neonatal anthropometry was performed. Unrotated and varimax rotated PCA was applied to the maternal and neonatal measurements.Results: rotated PCA reduced maternal measurements to 4 independent components (fat, pelvis, height and muscle) and neonatal measurements to 3 components (trunk+head, fat, and leg length). An SD increase in maternal fat was associated with a 0.16 SD increase (?) in neonatal fat (p < 0.001, adjusted for gestation, maternal parity, newborn sex and socio-economic status). Maternal pelvis, height and (for male babies) muscle predicted neonatal trunk+head (? = 0. 09 SD; p = 0.017, ? = 0.12 SD; p = 0.006 and ? = 0.27 SD; p < 0.001). In the mother-baby and father-baby comparison, maternal BMI predicted neonatal fat (? = 0.20 SD; p < 0.001) and neonatal trunk+head (? = 0.15 SD; p = 0.001). Both maternal (? = 0.12 SD; p = 0.002) and paternal height (? = 0.09 SD; p = 0.030) predicted neonatal trunk+head but the associations became weak and statistically non-significant in multivariate analysis. Only paternal height predicted neonatal leg length (? = 0.15 SD; p = 0.003).Conclusion: principal components analysis is a useful method to describe neonatal body composition and its determinants. Newborn adiposity is related to maternal nutritional status and parity, while newborn length is genetically determined. Further research is needed to understand mechanisms linking maternal pelvic size to fetal growth and the determinants and implications of the components (trunk v leg length) of fetal skeletal growt

Modelling of Flow in an Unsaturated Zone of A Tank Clustered Catchment

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

Assessment and evaluation of drug information services provided by drug information centre at a multispecialty hospital in Erode, Tamil Nadu, India

Background: To evaluate the performance of Drug Information Centre (DIC) in providing quality drug information services to the health care professionals.Methods: It was a prospective study carried out for a period of six months (June-November 2017). The drug information services provided by the pharmacist at the DIC during ward rounds, direct access, telephone and mail were documented in the drug information request and documentation forms. The quality of drug information provided was assessed with the help of feedback questionnaire which was filled by receivers.Results: A total of 283 queries were received, with a maximum from ward rounds 140(49.47%). On evaluation, it was found that most of the queries were from physicians 207 (73.14%) followed by nurses 33(11.66%), pharmacists 26 (9.18%), patients 17 (6.07%). Among that 178 (62.89%) queries were received from department of general medicine. Most of the queries were intended to update knowledge 110 (38.86%) and for the purpose of better patient care 90 (31.81%). The time frame for an authentic reply ranged from minutes to 24 hours, where a maximum of 110 (38.86%) queries had sent a 24 hours deadline. The majority of the queries were for adverse drug reactions [ADR-60 (21.20%)] and most preferred resources were primary 188 (66.43%).Conclusions: The DIC has always presented and offered itself to be an impressive resource, which is used routinely as an information source by all levels of professionals involved in the health system, in addition to the patients themselves