Structural and Magnetic Characterizations of Co2FeGa/SiO2 Nanoparticles Prepared via Chemical Route

We report the synthesis of Co2FeGa/SiO2 nanoparticles by sol-gel method and characterization using x-ray diffraction (XRD), transmission electron microscopy (TEM) and magnetic measurements. The Rietveld refinements of XRD data with space group Fm-3m clearly show the formation of A2 disorder single phase and the lattice constant is found to be 5.738 {\AA}. The energy-dispersive x-ray spectroscopy (EDX) confirm the elemental composition close the desired values. The value of coercivity is found to be around 283 Oe and 126 Oe, measured at 10 K and 300 K, respectively. We observed the saturation magnetization significantly lower than expected from Slater-Pauling rule. This decrease in the magnetic moment might be due to the presence of amorphous SiO2 during the synthesis process. A large content of small size SiO2 particles along with Co2FeGa nanoparticles are also found in TEM study.Comment: 4 pages, AIP conferenc

Classification of Musical Instruments sounds by Using MFCC and Timbral Audio Descriptors

Identification of the musical instrument from a music piece is becoming area of interest for researchers in recent years. The system for identification of musical instrument from monophonic audio recording is basically performs three tasks: i) Pre-processing of inputted music signal; ii) Feature extraction from the music signal; iii) Classification. There are many methods to extract the audio features from an audio recording like Mel-frequency Cepstral Coefficients (MFCC), Linear Predictive Codes (LPC), Linear Predictive Cepstral Coefficients (LPCC), Perceptual Linear Predictive Coefficients (PLP), etc. The paper presents an idea to identify musical instruments from monophonic audio recordings by extracting MFCC features and timbre related audio descriptors. Further, three classifiers K-Nearest Neighbors (K-NN), Support Vector Machine (SVM) and Binary Tree Classifier (BT) are used to identify the musical instrument name by using feature vector generated in feature extraction process. The analysis is made by studying results obtained by all possible combinations of feature extraction methods and classifiers. Percentage accuracies for each combination are calculated to find out which combinations can give better musical instrument identification results. The system gives higher percentage accuracies of 90.00%, 77.00% and 75.33% for five, ten and fifteen musical instruments respectively if MFCC is used with K-NN classifier and for Timbral ADs higher percentage accuracies of 88.00%, 84.00% and 73.33% are obtained for five, ten and fifteen musical instruments respectively if BT classifier is used. DOI: 10.17762/ijritcc2321-8169.150713

Personality and Functional Limitations: Investigating the Mediating Effect of Positive Social Exchanges

Research suggests a link between personality traits and various health outcomes. There is now a need to understand why this association exists by investigating potential underlying mechanisms. The current study investigated a potential mechanism that has not received much attention, positive social exchanges (PSS). PSS have been linked to health in various studies, but more research is needed to understand its association with health. The current study utilized data from 6,095 community-dwelling adults from the National Study of Midlife in the United States (MIDUS Wave 1; ages 20--75; Mage = 46.83, SD = 12.90). Using the Hayes PROCESS macro, we investigated whether PSS mediated the association between the Big Five personality traits (i.e. conscientiousness, neuroticism, extraversion, agreeableness, openness to experience) and functional limitations. The associations between neuroticism, conscientiousness, extraversion, and agreeableness and functional limitations were significantly mediated by PSS. Exploratory age moderation revealed that age significantly moderated the association between neuroticism, conscientiousness, and extraversion with functional limitations such that the association was stronger at older ages. Through further analyses of these paths, it is possible to get a stronger understanding of how these processes work

Wastewater agriculture in Kurunegala City, Sri Lanka

Wastewater irrigation / Irrigation canals / Rivers / Urban agriculture / Farmers associations / Rain / Soil properties / Rice / Crop management / Fertilizers / Paddy fields / Sri Lanka / Kurunegala City / Beu Ela / Wan Ela