Resource Allocation in Downlink of LTE using Bandwidth Prediction Through Statistical Information

Long Term Evolution (LTE) is the technology used in modern third and fourth generation mobile wireless cellular networks. Due to the presence of large number of users, mobility and varying channel conditions, proper resource allocation is essential to provide a good user experience and improve the system throughput. In this paper, a resource allocation algorithm is implemented that will use the probabilistic models to predict the channel condition and allocate resources accordingly. Also, the algorithm will support QoS requirements. During the resource allocation, the channel quality information is collected and analyzed to predict the future channel conditions and resource allocation vectors are configured accordingly. The performance of the algorithm is analyzed based upon the data collected. The algorithm is able to provide a reasonable success rate for channel prediction. By using the resource allocation vectors and channel prediction, the algorithm performance also is improved considerably due to the lesser space and time complexity required

Multi Response Optimization of process parameters of friction stir welded AA6061 T6 and AA 7075 T651 Using Response Surface Methodology

232-234In this work friction stir welding of AAA 6061 T6 with 7075-T651 of 6mm thickness was carried out. A 31 run Central composite design was adopted to run the experiments. The process parameter ranges were identified based on trial runs. The optimization of the process parameters was done based on the results and plots obtained from Design Expert 10.0 software and the mathematical model was developed for the same. The microhardness tests were also studied. The advancing side was 6061 T6 due to its formability properties. Interference of each process parameters on the Tensile strength was obtained from the contour plots. The fitness was justified by Anova

Linguistic Choices for Literary Dialectics: A Coming Together of Divergent Entities

Literature involves the manipulation of language for creative purposes and the discipline which fosters this synergic relationship between literature and language is termed stylistics. The purpose of this article is to show how it is possible to bridge the divide between language and literature by using the analytical techniques available within this sub-discipline of language study. Stylistics aims to interconnect linguistic form and literary effect, and also account for what it is that readers respond to when they praise the quality of a particular piece of writing. This article attempts to depict how the knowledge of linguistic intricacies can affect the reader’s interpretation. It also discusses how linguistic form relates to literary effect by analysing “Domination of Black”, by the renowned American poet Wallace Stevens. We aim to show that a linguistic approach to the analysis of a literary text does not have to mean that interpretation is disregarded. On the contrary, stylistic analysis can often illuminate why a particular literary text is regarded so highly

Total synthesis of (+) Artemisinin

(+) Artemisinin is a sesquiterpene endoperoxide lactone with an unprecedented structure is a natural medicine for the treatment of malaria in particular drug against drug resistant malaria and cerebral malaria. The total synthesis of this novel sesquiterpene is described using an inter-molecular radical reaction on important intermediate iodolactone starting from terpene (+) isolimonene

Multi Response Optimization of process parameters of friction stir welded AA6061 T6 and AA 7075 T651 Using Response Surface Methodology

In this work friction stir welding of AAA 6061 T6 with 7075-T651 of 6mm thickness was carried out. A 31 run Central composite design was adopted to run the experiments. The process parameter ranges were identified based on trial runs. The optimization of the process parameters was done based on the results and plots obtained from Design Expert 10.0 software and the mathematical model was developed for the same. The microhardness tests were also studied. The advancing side was 6061 T6 due to its formability properties. Interference of each process parameters on the Tensile strength was obtained from the contour plots. The fitness was justified by Anova

Allosteric Regulation of Fibronectin/α5β1 Interaction by Fibronectin-Binding MSCRAMMs

Citation: Liang, X. W., Garcia, B. L., Visai, L., Prabhakaran, S., Meenan, N. A. G., Potts, J. R., . . . Hook, M. (2016). Allosteric Regulation of Fibronectin/alpha(5)beta(1) Interaction by Fibronectin-Binding MSCRAMMs. Plos One, 11(7), 17. doi:10.1371/journal.pone.0159118Adherence ofmicrobes to host tissues is a hallmark of infectious disease and is often mediated by a class of adhesins termed MSCRAMMs (Microbial Surface Components Recognizing Adhesive Matrix Molecules). Numerous pathogens express MSCRAMMs that specifically bind the heterodimeric human glycoprotein fibronectin (Fn). In addition to roles in adhesion, Fn-binding MSCRAMMs exploit physiological Fn functions. For example, several pathogens can invade host cells by a mechanism whereby MSCRAMM-bound Fn bridges interaction with alpha(5)beta(1) integrin. Here, we investigate two Fn-binding MSCRAMMs, FnBPA (Staphylococcus aureus) and BBK32 (Borrelia burgdorferi) to probe structure-activity relationships of MSCRAMM-induced Fn/alpha(5)beta(1) integrin activation. Circular dichroism, fluorescence resonance energy transfer, and dynamic light scattering techniques uncover a conformational rearrangement of Fn involving domains distant from the MSCRAMM binding site. Surface plasmon resonance experiments demonstrate a significant enhancement of Fn/alpha(5)beta(1) integrin affinity in the presence of FnBPA or BBK32. Detailed kinetic analysis of these interactions reveal that this change in affinity can be attributed solely to an increase in the initial Fn/alpha(5)beta(1) on-rate and that this rate-enhancement is dependent on high-affinity Fn-binding by MSCRAMMs. These data implicate MSCRAMM-induced perturbation of specific intramolecular contacts within the Fn heterodimer resulting in activation by exposing previously cryptic alpha(5)beta(1) interaction motifs. By correlating structural changes in Fn to a direct measurement of increased Fn/alpha(5)beta(1) affinity, this work significantly advances our understanding of the structural basis for the modulation of integrin function by Fn-binding MSCRAMMs

Approaches in biotechnological applications of natural polymers

Natural polymers, such as gums and mucilage, are biocompatible, cheap, easily available and non-toxic materials of native origin. These polymers are increasingly preferred over synthetic materials for industrial applications due to their intrinsic properties, as well as they are considered alternative sources of raw materials since they present characteristics of sustainability, biodegradability and biosafety. As definition, gums and mucilages are polysaccharides or complex carbohydrates consisting of one or more monosaccharides or their derivatives linked in bewildering variety of linkages and structures. Natural gums are considered polysaccharides naturally occurring in varieties of plant seeds and exudates, tree or shrub exudates, seaweed extracts, fungi, bacteria, and animal sources. Water-soluble gums, also known as hydrocolloids, are considered exudates and are pathological products; therefore, they do not form a part of cell wall. On the other hand, mucilages are part of cell and physiological products. It is important to highlight that gums represent the largest amounts of polymer materials derived from plants. Gums have enormously large and broad applications in both food and non-food industries, being commonly used as thickening, binding, emulsifying, suspending, stabilizing agents and matrices for drug release in pharmaceutical and cosmetic industries. In the food industry, their gelling properties and the ability to mold edible films and coatings are extensively studied. The use of gums depends on the intrinsic properties that they provide, often at costs below those of synthetic polymers. For upgrading the value of gums, they are being processed into various forms, including the most recent nanomaterials, for various biotechnological applications. Thus, the main natural polymers including galactomannans, cellulose, chitin, agar, carrageenan, alginate, cashew gum, pectin and starch, in addition to the current researches about them are reviewed in this article.. }To the Conselho Nacional de Desenvolvimento Cientfíico e Tecnológico (CNPq) for fellowships (LCBBC and MGCC) and the Coordenação de Aperfeiçoamento de Pessoal de Nvíel Superior (CAPES) (PBSA). This study was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit, the Project RECI/BBB-EBI/0179/2012 (FCOMP-01-0124-FEDER-027462) and COMPETE 2020 (POCI-01-0145-FEDER-006684) (JAT)

Pedogenesis and clay mineralogy of semi arid tropical soil in Madurai district, Tamil Nadu

Four representative soil profiles from Melur block of Madurai district in Tamil Nadu were assessed for the degree of chemical weathering, pedogenesis and clay mineralogy. Morphological, geochemical and mineralogical analysis were done following standard procedures. Soils are classified as follows: Pedon 1- Keeranoor was Fine loamy, non-acid, mixed, megathermic, Typic Hapluestepts, Pedon 2 - Arritapatti was Fine loamy, non-acid, mixed megathermic, Oxyaquic Hapluestepts Pedon 3 - Uranganpatti was Fine, mixed, non-acid, megathermic, fluventic Hapluestepts and Pedon 4 - Panangadi was Fine loamy, non-acid, mixed megathermic, Oxyaquic Hapluestepts. The soils generally exhibited a sandy texture with moderate weathering nature, comprising more than 50% of fine and medium sand fractions, little textural variation suggesting more uniform weathering. Soils are slightly alkaline, except for Pedon 2, having had a higher Exchangeable Sodium Percentage (ESP) (> 15%) and Cation Exchange Capacity (CEC) (15 cmol (p+ ) kg-1 ). Mineralogical investigation revealed dominance of kaolinite and illite mixed with smectites in pedons and increased silica activity with limited lessivage. The mean Chemical Index of Alteration values ranged from 80.75 to 93.44, indicating moderate soil weathering. The ternary A-CN-K diagram displayed preferential leaching of CaO and Na2O followed by K2O, as plagioclase was more susceptible to weathering. Bivariate plot results of SiO2 against (Al2O3+K2O + Na2O) indicated rapid weathering influenced by the climatic conditions

Bi-LSTM and partial mutual information selection-based forecasting groundwater salinization levels

Fresh-saline groundwater is distributed in a highly heterogeneous way throughout the world. Groundwater salinization is a serious environmental issue that harms ecosystems and public health in coastal regions worldwide. Because of the complexities of groundwater salinization processes and the variables that influence them, it is challenging to predict groundwater salinity concentrations precisely. It compares cutting-edge machine learning (ML) algorithms for predicting groundwater salinity and identifying contributing factors. It employs bi-directional long short-term memory (BiLSTM) to indicate groundwater salinity. The input variable selection problem has attracted attention in the time series modeling community because it has been shown that information-theoretic input variable selection algorithms provide a more accurate representation of the modeled process than linear alternatives. To generate sample combinations for training multiple BiLSTM models, PMIS-selected predictors are used, and the predicted values from various BiLSTM models are also used to calculate the degree of prediction uncertainty for groundwater levels. The findings give policymakers insights for recommending groundwater salinity remediation and management strategies in the context of excessive groundwater exploitation in coastal lowland regions. To ensure sustainable groundwater management in coastal areas, it is essential to recognize the significant impact of human-caused factors on groundwater salinization