Titlebook: Improvement Measures of Urban Thermal Environment; Hideki Takebayashi Book 2015 The Editor(s) (if applicable) and The Author(s), under exc

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Mechanical Characterization of Iron Flakes Filled Polyurethane Compositeshaving different weight fractions of iron-flakes filler percentages (10, 20, 30, 40, 50 and 60%) in the PU matrix. The PU-matrix is prepared by adding polyurethane resin and PU-hardener in (100:70) ratio by weight. Xylene as a solvent is added (20–40%) by solution weight to reduce the PU-matrix visc

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Handling Domain Shift for Lesion Detection via Semi-supervised Domain Adaptationble across a variety of datasets coming from different scanners, hospitals, and acquisition protocols. In practice, this remains a challenge due to the complexities of the different types of domain shifts. In this paper, we address the domain-shift by proposing a novel domain adaptation framework fo

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Strengthen Immune System Based on Genetic Testing and Physical Examination Dataysiological defense, self stability and immune monitoring, if these functions were changed, it will lead to various diseases. Many gene variants have been found to be associated with human immune system, for instance, the polymorphism of the loci in the . gene can affect a person’s susceptibility to

BAIT

Birth Defects and Parental Occupationts and parental occupation. A decade ago little evidence about hazard or safety was available and concerns about possible associations between occupational exposures and birth defects seemed relatively new. Perhaps the dearth of evidence stemmed from the recent trend of women moving into fields of e

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2195-2159 tanding of nonregular nanosystems is an essential element of.This book presents a systemic view of nanophenomena in terms of disordered condensed media with characteristics arising at various hierarchical levels from nanoagents/nanoparticles through multiple technological interfaces to the creation

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Overview and Future Directions,ilienforschung deutlich. Eine Literaturübersicht zu den Determinanten der Ehequalität zeigte, daß Interaktionsvariablen den größten Anteil der Varianz in bezug auf die Ehezufriedenheit erklären (Hahlweg 1986a).

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Shubhendu Vikram Singh,Sufyan Ghaniwith the mean absolute error (MAE) and the mean square error (RMSE) and compared with machine learning algorithms: (Linnear Regression, K-Nearest, Random Forest, Decision Tree, and LSTM). Our proposed model (LSTM K-means) was more efficient than the traditional machine learning algorithms for regres