EcoSupply: a machine learning framework for analyzing the impact of ecosystem on global supply chain dynamics

A global supply chain spans several regions and countries across the globe. A tremendous spurt in the extent of globalization has necessitated the need for modeling global supply chains in place of the conventional supply chains. In this paper, we propose a framework, EcoSupply, to analyze the supply chain ecosystem in a probabilistic setting unlike the existing methodologies, which presume a deterministic context. EcoSupply keeps track of the previous observations in order to facilitate improved prediction about the influence of uncertainties in the ecosystem, and provides a coherent mathematical exposition to construe the new associations, among the different supply chain stakeholders, in place of the existing links. To the best of our knowledge, EcoSupply is the first machine learning based paradigm to incorporate the dynamics of global supply chains

Recruitment of the Fouling Bivalve, Mytilopsis sallei (Recluz), on Metallic and Nonmetallic Surfaces at Visakhapatnam Harbor, India

In 1967, the dreissinid bivalve, Mytilopsis saUei (Recluz), was first noticed in Indian waters at the Southern Lighter Channel of Visakhapatnam harbor, Andhra Pradesh, India. It is believed that his species was introduced into the Indo-Pacific region from Central America via the Panama Canal and Fiji through ship foulin

Low Cost, Efficient Output- Only Infrastructure Damage Detection with Wireless Sensor Networks

Sensor network comprises of sensors and actuators with universally useful processing components to agreeably screen physical or ecological conditions, for example, temperature, pressure, and so on. Wireless Sensor Networks are particularly portrayed by properties like the constrained power they can reap or store, dynamic network topology, expansive size of the arrangement. Sensor networks have an enormous application in fields which incorporates territory observing, object tracking, fire detection, landslide recognition and activity observing. Given the network topology, directing conventions in sensor networks can be named at based steering, various levelled based directing and area-based directing. Low Energy Adaptive Clustering Hierarchy (LEACH) is a vitality productive various levelled based steering convention. Our prime spotlight was on the examination of LEACH given specific parameters like network lifetime, soundness period, and so forth and furthermore the impact of particular sending assault and level of heterogeneity on LEACH convention

A Single Step Catalytic Process for the Production of Higher Range Hydrocarbon Fuel Stocks from Naphtha

A novel concept of cracking-based oligomerization of naphtha (C5-C8) to produce higher range hydrocarbons (C9-C15) suitable for the jet fuel applications has been explored by using various zeolite type catalysts. Among the bi-metallic BEA, MOR, Y, ZSM-5 and Nano ZSM-5 based catalysts, the bi-functional Pt-Sn/Nano ZSM-5 catalyst exhibited promising catalytic activity to give higher range hydrocarbons in a single step vapor phase reaction. The catalyst produced 47 wt.% higher range hydrocarbons (C9-C15) from naphtha (C5-C8) at 400 ºC and 15 bar pressure, which is first of its kind to observe on any solid acid catalyst to the best of our knowledge. Further, the studies are also conducted on various other zeolites metal functionalized by similar manner so as to understand the effect of zeolite type and the metals

Export fluxes of dissolved inorganic carbon to the northern Indian Ocean from the Indian monsoonal rivers

Rivers are an important source of dissolved inorganic carbon (DIC) to the adjacent coastal waters. In order to examine the spatial variability in the distribution and major sources of DIC in the Indian monsoonal rivers and to quantify their export flux to the northern Indian Ocean, 27 major and medium-sized rivers were sampled during the discharge period. Significant spatial variability in concentrations of DIC (3.4–73.6&thinsp;mg&thinsp;L−1) was observed, and it is attributed to spatial variations in the precipitation pattern, the size of rivers, pollution and lithology of the catchments. The stable isotopic composition of DIC (δ13CDIC) also showed strong spatial variability (−13.0&thinsp;‰ to −1.4&thinsp;‰) in the Indian monsoonal rivers with relatively depleted δ13CDIC values in rivers of the northwest of India (-11.1±2.3&thinsp;‰) and enriched values in the southeast of India (-3.5±2.3&thinsp;‰). Results of the linear least-squares regression models of Keeling and Miller–Tan's plots indicated that the chemical weathering of carbonate and silicate minerals by soil CO2 is the major source of DIC in the Indian monsoonal rivers. Spatial variability in the deviation of δ13CDIC from the approximated δ13C of the source may probably be due to dominant autotrophic production in rivers of the southeastern region, whereas heterotrophic decomposition of organic matter largely influences the other Indian monsoonal rivers. It is estimated that the Indian monsoonal rivers annually export ∼10.3&thinsp;Tg of DIC to the northern Indian Ocean, of which the major fraction (75&thinsp;%) enters into the Bay of Bengal, and the remaining fraction reaches to the Arabian Sea. This is consistent with the freshwater flux, which is 3 times higher for the Bay of Bengal (∼378&thinsp;km3&thinsp;yr−1) than for the Arabian Sea (122&thinsp;km3&thinsp;yr−1). Despite discharge from the Indian monsoonal rivers accounting for only 1.3&thinsp;% of the global freshwater discharge, they disproportionately export 2.5&thinsp;% of the total DIC exported by the world's major rivers. Despite rivers from the region in the southwest (SW) of India exporting DIC that is an order of magnitude lower (0.3&thinsp;Tg&thinsp;yr−1) than the rivers from other regions of India, the highest yield of DIC was found in the rivers of the SW region of India. It is attributed to intense precipitation (∼3000&thinsp;mm), favorable natural vegetation of tropical moist deciduous and tropical wet evergreen and semi-evergreen forests, tropical wet climate, high soil organic carbon, and the dominance of red loamy soils in catchments of the rivers of the SW region.</p

Computational approaches for modeling human intestinal absorption and permeability

Human intestinal absorption (HIA) is an important roadblock in the formulation of new drug substances. Computational models are needed for the rapid estimation of this property. The measurements are determined via in vivo experiments or in vitro permeability studies. We present several computational models that are able to predict the absorption of drugs by the human intestine and the permeability through human Caco-2 cells. The training and prediction sets were derived from literature sources and carefully examined to eliminate compounds that are actively transported. We compare our results to models derived by other methods and find that the statistical quality is similar. We believe that models derived from both sources of experimental data would provide greater consistency in predictions. The performance of several QSPR models that we investigated to predict outside the training set for either experimental property clearly indicates that caution should be exercised while applying any of the models for quantitative predictions. However, we are able to show that the qualitative predictions can be obtained with close to a 70% success rate

Reference evapotranspiration in the irrigated perimeters of the state of Sergipe

O conhecimento da evapotranspiração de referência (ETo) é essencial no manejo de irrigação de culturas agrícolas em todo o mundo. Neste trabalho se utilizaram dados meteorológicos diários de evaporação do tanque "Classe A", temperaturas máximas e mínimas, insolação, velocidade do vento a 2 m de altura e umidade relativa do ar, referentes ao período de 1989 a 1993, coletados em quatro perímetros irrigados do Estado de Sergipe, para estimativa da ETo com base nos métodos do Tanque Classe "A", Radiação Solar, Hargreaves & Samani, Linacre e Penman-Monteith (FAO/56). Comparam-se os valores diários da ETo para a região estudada, através dos quais, quando comparados com o modelo de Penman-Monteith (FAO/56) se obtiveram os melhores desempenhos com os métodos que utilizam a radiação solar como dado de entrada no modelo. O método do Tanque Classe "A" não apresentou desempenho satisfatório em nenhum perímetro irrigado estudado. _________________________________________________________________________________________ ABSTRACT: The knowledge of reference evapotranspiration (ETo) is essential for the irrigation scheduling of crops throughout the world. This work used daily meteorological data of Class A pan evaporation, maximum and minimum air temperatures, insolation, wind speed at 2 m above surface and relative humidity from 1989 to 1993 for four irrigated perimeters of Sergipe. These data were used for estimating ETo based on the following methods: Class A pan evaporation, Solar Radiation, Hargreaves & Samani, Linacre and Penman-Monteith (FAO/56). The daily values of ETo were compared to those obtained by FAO Penman-Monteith method in order to choose the best method of estimating ETo for the region. The best performance was obtained for those models which used the solar radiation as the data input. The Class A pan evaporation method did not show favorable performance in any irrigated perimeter