N-{1-[(3-Bromo­prop­yl)amino­carbon­yl]eth­yl}-2-(2-nitro­benzene­sulfonamido)propionamide

In the title compound, C15H21BrN4O6S, all three NH groups are involved in inter­molecular N—H⋯O inter­actions which, together with two inter­molecular C—H⋯O contacts, lead to a continuous anti­parallel β-sheet structure. There are no π–π inter­actions between mol­ecules, and two C—H⋯π inter­actions primarily govern the linkage between sheets

Studies on physico-chemical constituents in different cultivars of citrus fruits under Lucknow condition, India

The physico-chemical studies were conducted on the citrus fruits of sweet orange cv. Mosambi Local-1, 2, 3, 4 and 5 and Sweet Mandarin cv. Chinese Orange, Kinnow, Nagpur Mandarin, Local Mandarin-1 and Local Mandarin- 2. The Sweet Orange cultivar was highest size in Mosambi Local-3 with maximum fruit volume 204 ml and flesh weight 139.66 g followed by Mosambi Local-4. The juice recovery percent was maximum in Mosambi Local-3 28.63 and the highest specific gravity was found in Mosambi Local-1 (0.99) followed by Mosambi Local-2 (0.94). The different cultivars of Sweet Orange were recorded varies from the total soluble solid 7.60 to 12.66 percent, reducing sugar 4.13 to 7.08 per cent, total sugar 5.90 to 10.12 per cent, tritrable acidity 0.52 to 0.83 per cent, ascorbic acid 46 to 74.80 mg/100g and pH 3.92 to 4.98. The juice percent was determined in Kinnow 53.20 g after that Nagpur santra 51.30 g. The chemical attributes of Sweet Mandarin were found as total soluble solid varied from 8.96 to 12.20 per cent, reducing sugar 3.22 to 6.60 per cent, total sugar 5.73 to 10.04 per cent, titrable acidity 0.84 to 2.24 per cent, ascorbic acid 25.96 to 36.13mg/100 g and pH 3.84 to 4.60. However, the Sweet Orange cultivars Mosambi Local-3 and Mosambi Local-4 and Sweet Mandarin cv. Local Mandarin-1 were suitable for export, making of non alcoholic beverages, easy for bottling and frozen products grown under Lucknow conditions

On new subclass of meromorphically convex functions with positive coefficients

In this paper we introduce and study a new subclass of meromorphically uniformly convex functions with positive coefficients defined by a differential operator and obtain coefficient estimates, growth and distortion theorem, radius of convexity, integral transforms, convex linear combinations, convolution properties and δ-neighborhoods for the class σ p (α)

Near-Infrared Spectroscopy of Carbon-Enhanced Metal-Poor Stars. I. A SOAR/OSIRIS Pilot Study

We report on an abundance analysis for a pilot study of seven Carbon-Enhanced Metal-Poor (CEMP) stars, based on medium-resolution optical and near-infrared spectroscopy. The optical spectra are used to estimate [Fe/H], [C/Fe], [N/Fe], and [Ba/Fe] for our program stars. The near-infrared spectra, obtained during a limited early science run with the new SOAR 4.1m telescope and the Ohio State Infrared Imager and Spectrograph (OSIRIS), are used to obtain estimates of [O/Fe] and 12C/13C. The chemical abundances of CEMP stars are of importance for understanding the origin of CNO in the early Galaxy, as well as for placing constraints on the operation of the astrophysical s-process in very low-metallicity Asymptotic Giant Branch (AGB) stars. This pilot study includes a few stars with previously measured [Fe/H], [C/Fe], [N/Fe],[O/Fe], 12C/13C, and [Ba/Fe], based on high-resolution optical spectra obtained with large-aperture telescopes. Our analysis demonstrates that we are able to achieve reasonably accurate determinations of these quantities for CEMP stars from moderate-resolution optical and near-infrared spectra. This opens the pathway for the study of significantly larger samples of CEMP stars in the near future. Furthermore, the ability to measure [Ba/Fe] for (at least the cooler) CEMP stars should enable one to separate stars that are likely to be associated with s-process enhancements (the CEMP-s stars) from those that do not exhibit neutron-capture enhancements (the CEMP-no stars).Comment: 27 pages, including 5 tables, 6 figures, accepted for publication in The Astronomical Journa

Rapid and Efficient N-tert-butoxy carbonylation of Amines Catalyzed by Sulfated Tin Oxide Under Solvent-free Condition

A straightforward, rapid, and efficient protocol for the N-tert-butoxy carbonyl (N-Boc) protection of amines (aromatic, aliphatic) using sulfated tin oxide catalyst is illustrated. N-Boc protection of various amines was carried out with (Boc)2O using sulfated tin oxide as a catalyst at room temperature under solvent-free conditions. Rapid reaction times, ease of handling, cleaner reactions, easy work-up, reusable catalyst, and excellent isolated yields are the striking features of this methodology which can be considered to be one of the better methods for the protection of amines and alcohols. DOI: http://dx.doi.org/10.17807/orbital.v10i7.115

Segmentation of Natural Images with K-Means and Hierarchical Algorithm based on Mixture of Pearson Distributions

707-715In this paper, an attempt has been made to analyze the performance of the image segmented algorithms with the addition of the Pearsonian Type III mixture model. By using the Type III Pearsonian system of distributions the image segmentation process was carried out in the current article which is a novel technique. With the help of K-component combination of Pearsonian Type III distribution, it is considered that the whole input images are characterized. The performance parameters PRI (Probabilistic Rand Index), GCE (Global Consistency Error) and VOI (Volume of Interest) for the currently considered model are estimated with the help of EM (Expectation Maximization) algorithm. For analyzing the proposed model’s performance, four random images are selected as input for the current model from Berkeley image database. The performance metric parameters PRI, GCE and VOI values given the results as the currently proposed method is providing more précise results for the input images where the regions of the input images selected are with tiles having long upper model and the left skewed images. By the help of image quality measures, the proposed method is performing well for the purpose of retrieving the images with respect to the picture segmenting process which is based on GMM (Gaussian Mixture Model). The current model performance was compared with the other existing models like the k-means hierarchical clustering model and the 3-paprameter regression models

Segmentation of Natural Images with K-Means and Hierarchical Algorithm based on Mixture of Pearson Distributions

In this paper, an attempt has been made to analyze the performance of the image segmented algorithms with the addition of the Pearsonian Type III mixture model. By using the Type III Pearsonian system of distributions the image segmentation process was carried out in the current article which is a novel technique. With the help of K-component combination of Pearsonian Type III distribution, it is considered that the whole input images are characterized. The performance parameters PRI (Probabilistic Rand Index), GCE (Global Consistency Error) and VOI (Volume of Interest) for the currently considered model are estimated with the help of EM (Expectation Maximization) algorithm. For analyzing the proposed model’s performance, four random images are selected as input for the current model from Berkeley image database. The performance metric parameters PRI, GCE and VOI values given the results as the currently proposed method is providing more précise results for the input images where the regions of the input images selected are with tiles having long upper model and the left skewed images. By the help of image quality measures, the proposed method is performing well for the purpose of retrieving the images with respect to the picture segmenting process which is based on GMM (Gaussian Mixture Model). The current model performance was compared with the other existing models like the k-means hierarchical clustering model and the 3-paprameter regression models

Optimización de un pretratamiento enzimático para semillas de mostaza utilizando metodología de superficie de respuesta

In order to investigate the effect of an enzymatic pre-treatment process for the extraction of oil from black mustard seeds (Brassica nigra) using viscozyme, the reaction parameters such as temperature, buffer-to-seed ratio and enzyme concentration were considered as determinant factors in the central composite design. Optimization was carried out according to the four-variable five-level central composite design of experiments. The effects of enzyme concentration (5–12%), temperature (40–55 °C), pH (5.0–6.0), and reaction time (1–7 h) on the free oil liberated were studied. Residual oil was collected by subjecting the treated meal to soxhlet extraction for 4 h. An enzyme dose of 7.5% (w/w), pH 5.0, 50 °C, and 5 h with constant shaking at 450 rpm were found to be opti­mal conditions. Centrifuging the mixture at 7000 rpm for 30 min separated the oil with a recovery of 71–73.1%.Con el fin de investigar el efecto de un pretratamiento enzimático para la extracción de aceite de semillas de mostaza negra (Brassica nigra) utilizando viscozima, los parámetros de la reacción, como la temperatura, la relación de tampón/semilla y las concentraciones de enzima, se consideraron factores deter­minantes en el diseño. La optimización se llevó a cabo mediante cuatro diseños de experimentos compuestos de cinco niveles. Se estudió el efecto de la concentración de enzima (5-12%), temperatura (40-55 °C), pH (5.0-6.0), y tiempo de reacción (1-7 h) sobre el aceite liberado. El aceite residual se recolectó sometiendo la pasta tratada a una extracción de soxhlet durante 4 h. Las dosis de enzima del 7,5% (p/p), pH 5,0, 50 °C y 5 h con agitación constante a 450 rpm fueron las condiciones óptimas. La centrifugación de la mezcla a 7000 rpm durante 30 minutos separó el aceite con una recuperación de 71-73.1%

Development of a polymeric piezoelectric C-block actuator using hybrid optimization technique

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76810/1/AIAA-13031-236.pd

Two Stellar Components in the Halo of the Milky Way

The halo of the Milky Way provides unique elemental abundance and kinematic information on the first objects to form in the Universe, which can be used to tightly constrain models of galaxy formation and evolution. Although the halo was once considered a single component, evidence for its dichotomy has slowly emerged in recent years from inspection of small samples of halo objects. Here we show that the halo is indeed clearly divisible into two broadly overlapping structural components -- an inner and an outer halo -- that exhibit different spatial density profiles, stellar orbits and stellar metallicities (abundances of elements heavier than helium). The inner halo has a modest net prograde rotation, whereas the outer halo exhibits a net retrograde rotation and a peak metallicity one-third that of the inner halo. These properties indicate that the individual halo components probably formed in fundamentally different ways, through successive dissipational (inner) and dissipationless (outer) mergers and tidal disruption of proto-Galactic clumps.Comment: Two stand-alone files in manuscript, concatenated together. The first is for the main paper, the second for supplementary information. The version is consistent with the version published in Natur