This paper proposes a method to detect humans in the image music box that is an important issue for many applications, such as video surveillance in smart home and driving assistance systems.A kind of local feature called the histogram of oriented gradients (HOGs) has been widely used in describing the human appearance and its effectiveness has bee
The paper investigates the selectivity and market timing ability of fund houses in emerging countries.The study uses comprehensive performance models on fund houses from four emerging countries.Data span is from 2007 to 2018.Findings indicate that fund managers benefit from the common facilities provided by the fund houses like market research, div
In this article, we wish to foster a dialogue between theory-based and classification-oriented stylometric approaches regarding deception detection.To do so, we music box review how cue-based and model-based stylometric systems are used to detect deceit.Baseline methods, common cues, recent methods, and field studies are presented.After reviewing h
ABSTRACT The gut microbiome is involved in metabolic disorders.Osteopontin (OPN), as a key cytokine, contributes to various inflammation-related diseases.The underlying role of OPN in the microbiome remains poorly understood.Here, we investigated whether OPN could modulate metabolic disorders by affecting gut microbiota.In our present study, we fou
As massive tunneling projects become more and more popular, predicting the performance of Tunnel Boring Machine (TBM) has been a problem that arose recently.A TBM is a modern piece of machinery that is specially assembled to excavate a tunnel more Grains efficiently and safely.However, the performance of TBM is very difficult to estimate due to the