797 research outputs found

    Analysis of fatty acids in soil and sediments

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    Fatty acids are one of the most important classes of naturally occurring organic compounds. Various organisms have distinctive fatty acid profiles. Therefore analyzing fatty acids present in soil and sediments can provide important information on sources of origin of the organic matter; Analysis of fatty acids by gas chromatography requires derivatization to produce a derivative volatile enough for gas chromatography followed by mass spectrometric (GC/MS) analysis. In this work conventional acid catalyzed derivatization methods and tetramethylammonium hydroxide (TMAH) chemopyrolysis methods were examined and compared. Results obtained for Lake Mead sediments show the variation of fatty acids profile with depth, which leads to an important information on sources of organic matter present in the lake

    Power consumption prediction in cloud data center using machine learning

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    The flourishing development of the cloud computing paradigm provides several services in the industrial business world. Power consumption by cloud data centers is one of the crucial issues for service providers in the domain of cloud computing. Pursuant to the rapid technology enhancements in cloud environments and data centers augmentations, power utilization in data centers is expected to grow unabated. A diverse set of numerous connected devices, engaged with the ubiquitous cloud, results in unprecedented power utilization by the data centers, accompanied by increased carbon footprints. Nearly a million physical machines (PM) are running all over the data centers, along with (5 – 6) million virtual machines (VM). In the next five years, the power needs of this domain are expected to spiral up to 5% of global power production. The virtual machine power consumption reduction impacts the diminishing of the PM’s power, however further changing in power consumption of data center year by year, to aid the cloud vendors using prediction methods. The sudden fluctuation in power utilization will cause power outage in the cloud data centers. This paper aims to forecast the VM power consumption with the help of regressive predictive analysis, one of the Machine Learning (ML) techniques. The potency of this approach to make better predictions of future value, using Multi-layer Perceptron (MLP) regressor which provides 91% of accuracy during the prediction process

    Exploring positive women\u27s lives in Namakkal District, India

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    This report describes an initiative that was undertaken to document the experiences of HIV-positive ever-married women in Namakkal district, Tamil Nadu, India. The initiative sought to explore the circumstances in which women learned about their HIV status; their feelings on finding out they were HIV-positive; the nature of husband–wife relationships prior to and following disclosure of women’s HIV status; the extent of support or discrimination that women experienced from family members, friends, and neighbors; treatment-seeking behaviors; and women’s perspectives about ways in which the multiple needs of HIV-infected women can be met. Drawing on the testimonies of these women gathered by trained investigators who were themselves HIV-positive, the report attempts to bring faces and voices to the reality of the HIV epidemic, particularly among married women. Findings show that women living with HIV face multiple vulnerabilities, ranging from physical and mental ill-health to concerns about financial security, family and peer support, and securing the future of their children. The findings call, correspondingly, for multiple efforts that address HIV-positive women’s health and well-being as well as empower them to lead their lives with confidence and dignity

    Sum of Squares of ‘m’ Consecutive Woodall Numbers

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           في هذه الورقة سوف نناقش مجموع مربعات "م" أرقام وودال المتتالية. يتم إجراء هذه المناقشات من تعريف أرقام وودال. نتعلم أيضا قابلية مقارنة أرقام وودال والأرقام الخاصة الأخرى. كما نحاول هنا توصيل صيغة مجموع مربعات أرقام وودال "m" وشكل المصفوفة الخاصة بها. علاوة على ذلك ، نعبر عن بعض الارتباطات بين أرقام وودال والأرقام الخاصة الأخرى.        This paper discusses the Sums of Squares of “m” consecutive Woodall Numbers. These discussions are made from the definition of Woodall numbers. Also learn the comparability of Woodall numbers and other special numbers. An attempt to communicate the formula for the sums of squares of ‘m’ Woodall numbers and its matrix form are discussed. Further, this study expresses some more correlations between Woodall numbers and other special numbers

    Thermodynamic study of nanometals for different shapes and sizes

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    Thermodynamic analytic model has been discussed to study the size as well as shape effect on thermodynamic parameters of nanometals. Thermodynamic properties like melting temperature, cohesive energy, vacancy formation energy and Debye temperature of Al, Ag, Au, In and Sn nano metals for spherical and non spherical nanoparticles (i.e. tetrahedral, hexahedral, octahedral and disc like) with different size have been studied. Present study shows that spherical and nonspherical nanoparticles behave in different manner due to the difference in their shape factor. It has been found that these thermal properties show decreasing trend with decrement in size of the nanomaterial due to the change in surface to volume ratio. The obtained results also reveal that shape of the nanoparticle plays a vital role to affect the thermodynamic properties of small sized nanoparticles because of change in surface area with shape for fixed volume. Theoretical results obtained for melting temperature, cohesive energy, vacancy formation energy and Debye temperature have been discussed in the light of available simulated and experimental data which supports the validity of present model

    Linear Stability of Double Diffusive Convection of Hadley-prats Flow with Viscous Dissipation in a Porous Media

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    Linear stability analysis of double diffusive convection in a horizontal fluid saturated porous layer has been carried out. Effects of viscous dissipation, horizontal mass flow are taken into account. Combined effects of horizontal mass flow, viscous dissipation may cause instability in the fluid system. To carry out linear stability analysis, disturbances are the form of longitudinal rolls, transverse rolls have been considered. In order to solve eigenvalue problem numerically, Runge-Kutta and shooting methods have been employed for the case of longitudinal rolls. Chebyshev-Tau method has been used for the case of transverse rolls. Critical wave number a(C), critical vertical thermal Rayleigh number Ra-C are evaluated for assigned values of flow governing parameters. For the onset of convection, physical explanation is given

    Lightly g-closed sets in intuitionistic fuzzy topological spaces

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    In this paper we introduce intuitionistic fuzzy lightly g^^\hat{\hat{g}}-closed sets and intuitionistic fuzzy lightly g^^\hat{\hat{g}}-open sets and study some of their properties with suitable examples are given

    Structural, electronic and elastic properties of RERu2 (RE = Pr, Nd and Sm) Laves phase compounds

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    Bonding nature, structural, electronic, magnetic and elastic properties of RERu2 (RE = Pr, Nd and Sm) Laves phase compounds have been studied using the full-potential linearized augmented plane wave (FP-LAPW) method based on density functional theory. The LSDA and LSDA+U approach has been used to get accurate results because of the presence of the highly localized 4f electron of RE (RE = Pr, Nd and Sm) atoms. The calculated lattice parameters and magnetic moments are in good agreement with available experimental results. The electronic and bonding properties have been resolved in terms of band structures, DOS, Fermi surfaces and charge density difference plots, which confirm their metallic character. From the charge density difference plots it has been observed that these compounds show mixed covalent-ionic bonding nature simultaneously and metallic bonding is also present. The mechanical properties and Debye temperature have been predicted from the calculated elastic constants. The ductility of these Laves phase compounds have been predicted in accordance with Pugh’s criteria

    Variation of Roughness in a Non-Prismatic Converging Compound Channel

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    For the management of rivers and floodplains, it is important to understand the behavior of flows within compound channels. Flooding situation in rivers is a complex phenomenon which affects the livelihood and economic condition of the region. The modeling of such flow is of primary importance for river engineers and scientists to work in this field. As a result of topographic changes along the open channels, designing the converging compound channel is important. Fluvial flows are strongly influenced by geometric complexity and large overall uncertainty on every single measurable property, such as roughness or velocity distribution on different sectional parameters like width ratio, aspect ratio and hydraulic parameter such as relative depth. Flow structure in non-prismatic compound channel is more complex than straight channels due to 3-dimentional nature of flow. The usual practice in one dimensional analysis is to select a value of n depending on the channel surface roughness and take it as uniform for the entire surface for all depths of flow. The influences of all the parameters are assumed to be lumped into a single value of n. The roughness of the main channel was determined by measuring the velocity of water flowing along the main channel. Patra (1999), Patra and Kar (2000), and Pang (1998) have shown that Manning’s n coefficient not only denotes the roughness characteristics of a channel but also the energy loss in the flow. The coefficients for Chezy’s and Darcy-Weisbach friction factors from in bank flow to over bank flow are found to be in line with the behavior of Manning’s n. The larger the value of n, the higher is the loss of energy within the flow. Although much research has been done on Mannings n, for straight channels, very little has been done concerning the roughness values for non-prismatic compound channels. In this paper, an experimental investigation of a non-prismatic compound channel having converging flood plains is investigated. Five sections with different cross-sections along the longitudinal direction of the non-prismatic channel are analysed to scrutinize the change in the value of Manning’s n along the path of the channel
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