CASE SERIES: ALLOGRAFT TIBIOTALOCALCANEAL ARTHRODESIS UTILIZING FRESH TALUS


LHC signals of a heavy doublet Higgs as dark matter portal: cut-based approach and improvement with gradient boosting and neural networks

Abstract Though the 125-GeV scalar, as the Higgs boson of the standard model, is disfavoured as a dark matter portal by direct searches and the observations on relic density, a heavier scalar in an extended electroweak sector can fit into that role.We explore this possibility in the context of two Higgs doublet models (2HDM).Taking Type I and Type

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Association between biochemical parameters and pathological findings in the diagnosis of fatty liver in dairy cows

The purpose of this study is to investigate the role of some serum parameters in the diagnosis of fatty liver in cattle with special attention to its degree and to determine the best cut point of these parameters in order to Scrapers predict the occurrence of fatty liver.Blood and liver samples of 28 cows were taken at the time of slaughter.Serum c

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Mapping Grassland Classes Using Unmanned Aerial Vehicle and MODIS NDVI Data for Temperate Grassland in Inner Mongolia, China

Grassland classification is crucial for grassland management.One commonly used method utilizes remote sensing vegetation indices (VIs) to map Oils grassland classes at various scales.However, most grassland classifications were conducted as case studies in a small area due to lack of field data sources.At a small scale, classification is reliable;

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Study on Network Intrusion Detection Method Using Discrete Pre-Processing Method and Convolution Neural Network

The network intrusion detection system is a core technology of network security that detects packets for malicious activities occurring in the Outdoor Swivel Lounge Chair with Cushion network and is an essential element for stable services in extended network environments such as big data and IoT.These network intrusion detection systems have been

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