Headache Disease Type Classification and Predicting System using Data Mining Techniques

In this Paper, Migraine Headache and the types of Migraine Headache were analyzed using Data mining Techniques. From the headache diary the data is being collected. Naïve Bayes is used on the collected data to determine the data corresponds to which category of Headache. It is also called as probabilistic algorithm which is used to predict and classify the category of Headache into the classes like Migraine, Cluster, Sinus and Tension Headache. Apply Decision tree,C4.5 algorithm on the Migraine Class and classify the data set into three class(Pediatric migraine, Episodic migraine, Chronic migraine) based on the on certain conditions

STUDIES ON THE LARVICIDAL EFFICACY OF LEAF EXTRACT OF VITEX NEGUNDO AGAINST CULEX QUINQUEFASCIATUS

Objective: Mosquitoes are one of the most significant vectors among arthropods. Infection due to mosquito plays a major health problem in developing countries. Repeated use of synthetic insecticides for mosquito control has disrupted natural biological control systems and led to resurgences in mosquito populations. Plants may be an alternative source of mosquito control, potential as insecticide. Controlling of mosquitoes at the larval stage is easy, as target specificity of the larvicide used can be ensured. Methods: The present study has assessed the role of larvicidal activity of aqueous, chloroform, and methanol leaf extracts of Vitex negundo plant against first, second, third, and fourth instar larvae of Culex quinquefasciatus. Mortality rates were recorded after 24 h and 48 h to evaluate the larvicidal activity against C. quinquefasciatus. Results: Among the three extracts, the methanol extract was found to be the most effective providing 86.67% mortality at 200 ppm concentration against the larvae of C. quinquefasciatus, when compared with aqueous and chloroform extracts, where the mortality rate is 83.33% and 70.00%, respectively. Conclusions: The results therefore clearly indicate that V. negundo leaf extracts possess larvicidal activity against the larvae and could be a possible source of mosquito larvicides

Wurtzite ZnSe quantum dots: synthesis, characterization and PL properties

A facile method for synthesis of monodispersed, starch-capped ZnSe nanoparticles at room temperature is being reported. The nanoparticles exhibited strong quantum confinement effect with respect to the bulk ZnSe. The transmission electron microscopy image indicated that the particles were well dispersed and spherical in shape. The X-ray diffraction analysis showed that the ZnSe nanoparticles were of the wurtzite structure, with average particle diameter of about 3.6 nm. The Fourier transform infrared spectrum confirmed the presence of starch as passivating agent

Security Analysis of Aggregate signature and Batch verification signature schemes

An identity based signature scheme allows any pair of users to communicate securely and to verify each others signatures without exchanging public key certificates. An aggregate signature scheme is a digital signature scheme which supports aggregation of signatures. Batch verification is a method to verify multiple signatures at once. Aggregate signature is useful in reducing both communication and computation cost. In this paper, we describe the breaks possible in some of the aggregate signature schemes and batch verification scheme

Low-temperature anomalies in muon spin relaxation of solid and hollow nanoparticles: a pathway to detect unusual local spin dynamics

By means of muon spin relaxation measurements we unraveled the temperature spin dynamics in monodisperse maghemite spherical nanoparticles with different surface to volume ratio, in two samples with a full core (diameter D∼4 and D∼5nm) and one with a hollow core (external diameter D∼7.4nm). The behavior of the muon longitudinal relaxation rates as a function of temperature allowed us to identify two distinct spin dynamics. The first is well witnessed by the presence of a characteristic peak for all the samples around the so-called muon blocking temperature T$_{B}^{μ+}$. A Bloembergen-Purcell-Pound (BPP)-like model reproduces the experimental data around the peak and at higher temperatures (20<T<100K) by assuming the Néel reversal time of the magnetization as the dominating correlation time. An additional dynamic emerges in the samples with higher surface to volume ratio, namely, full 4 nm and hollow samples. This is witnessed by a shoulder of the main peak for T<20K at low longitudinal field (μ$_{0}$H≈15mT), followed by an abrupt increase of the relaxation rate at T<10K, which is more evident for the hollow sample. These unusual anomalies of the longitudinal relaxation rate for T<T$_{B}^{μ+}$ are suggested to be due to the surface spins’ dynamical behavior. Furthermore, for weak applied longitudinal magnetic field (μ$_{0}$H≈15mT) and T<T$_{B}^{μ+}$ we observed damped coherent oscillations of the muon asymmetry, which are a signature of a quasistatic local field at the muon site as probed by muons implanted in the inner magnetic core of the nanoparticles. The muon spin relaxation technique turns out to be very successful to study the magnetic behavior of maghemite nanoparticles and to detect their unusual local spin dynamics in low magnetic field conditions

Household factors and gestational age predict diet quality of pregnant women.

Adequate diet during pregnancy has positive effects on the mother and pregnancy outcome. Assessment of diet quality during pregnancy is particularly important in areas where household food security is suboptimal, to enable appropriate targeting and intervention. This study assessed diet quality and identified predicting factors among pregnant women in northern Ghana. A cross-sectional study involving 403 pregnant women was conducted in May 2018. Pregnant women attending antenatal care clinics (ANC) were selected using simple random sampling technique. We assessed socio-demographic characteristics, 24-h recall and household food security. The minimum dietary diversity for women (MDD-W) was used as a proxy measure for diet quality based on Food and Agricultural Organization (FAO) guidelines. Logistic regression models were fitted to determine the predictors of diet quality. The mean dietary diversity score (DDS) of 10 food groups was 4.4 ± 1.1 (95% CI: 4.3-4.5). Logistic regression showed that women of high educational level (adjusted odds ratio [AOR] = 2.42; 95% confidence interval [CI] [1.21-4.84]; P = 0.01), women of high household wealth index (AOR = 1.78; 95% CI [1.14-2.77]; P = 0.01], none/mild household hunger (AOR = 2.71; 95% CI [1.26-5.82]; P = 0.01), medium household size (6-15 members) (AOR = 1.66; 95% CI [1.04-2.66]; P = 0.03) and women of gestational age 20-35 weeks (AOR = 1.89; 95% CI [1.05-3.40]; P = 0.03) were more likely to have quality diets after adjusting for potential confounding variables. Diet quality among pregnant women was low and was predicted by educational level, household wealth, gestational age and food security. Women education and improvements in household food security could impact diets of pregnant women in northern Ghana

Renal artery sympathetic denervation:observations from the UK experience

Background: Renal denervation (RDN) may lower blood pressure (BP); however, it is unclear whether medication changes may be confounding results. Furthermore, limited data exist on pattern of ambulatory blood pressure (ABP) response—particularly in those prescribed aldosterone antagonists at the time of RDN. Methods: We examined all patients treated with RDN for treatment-resistant hypertension in 18 UK centres. Results: Results from 253 patients treated with five technologies are shown. Pre-procedural mean office BP (OBP) was 185/102 mmHg (SD 26/19; n = 253) and mean daytime ABP was 170/98 mmHg (SD 22/16; n = 186). Median number of antihypertensive drugs was 5.0: 96 % ACEi/ARB; 86 % thiazide/loop diuretic and 55 % aldosterone antagonist. OBP, available in 90 % at 11 months follow-up, was 163/93 mmHg (reduction of 22/9 mmHg). ABP, available in 70 % at 8.5 months follow-up, was 158/91 mmHg (fall of 12/7 mmHg). Mean drug changes post RDN were: 0.36 drugs added, 0.91 withdrawn. Dose changes appeared neutral. Quartile analysis by starting ABP showed mean reductions in systolic ABP after RDN of: 0.4; 6.5; 14.5 and 22.1 mmHg, respectively (p &lt; 0.001 for trend). Use of aldosterone antagonist did not predict response (p &lt; 0.2). Conclusion: In 253 patients treated with RDN, office BP fell by 22/9 mmHg. Ambulatory BP fell by 12/7 mmHg, though little response was seen in the lowermost quartile of starting blood pressure. Fall in BP was not explained by medication changes and aldosterone antagonist use did not affect response