This study demonstrates correlation between economic trends and changes in markets. They also show that CAPE downside management is effective in combination with a delay and dynamic asset allocation.
This study is the first to apply deep learning to analyze tumor-associated stroma, discovering novel diagnostic biomarkers for breast cancer.
Global warming is a significant threat to modern society caused by the burning of fossil fuels in order to meet everyday energy requirements. Renewable clean energy solutions such as solar and wind power are not as high-producing as carbon-based sources, but hydrogen-based electric energy is a viable alternative. This project focuses on finding alternatives to platinum for proton exchange membrane fuel cells.
Antibiotics have been extensively used to treat patients with infectious diseases for the last 70 years. As these drugs have been used widely for long time, the organisms the antibiotics are designed to kill have adapted to them, making the drugs less effective. This can be prevented through selective separation, identification and eradication using fluorescent, magnetic multifunctional carbon dots.
Oral Squamous Cell Carcinoma (OSCC) is a cancer of the mouth epithelium with an annual incidence rate in the US of nearly 48,000 cases annually and a 5-year survival rate of only 65%. Cancer stem cells (CSCs) are believed to be responsible for progression of OSCC. The project’s main goal is to observe the effect of Wnt/β-catenin signaling inhibition on oral squamous cell carcinoma.
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