321 research outputs found
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Exosomes promote pre-metastatic niche formation in ovarian cancer.
Ovarian cancer is one of the most common gynecological malignancies. Upon initial diagnosis, the majority of patients present with widespread metastatic growth within the peritoneal cavity. This metastatic growth occurs in stages, with the formation of a pre-metastatic niche occurring prior to macroscopic tumor cell invasion. Exosomes released by the primary ovarian tumor are small extracellular vesicles which prepare the distant tumor microenvironment for accelerated metastatic invasion. They regulate intercellular communication between tumor cells and normal stroma, cancer-associated fibroblasts, and local immune cells within the tumor microenvironment. In this review, we highlight the emerging roles of ovarian cancer exosomes as coordinators of pre-metastatic niche formation, biomarkers amenable to liquid biopsy, and targets of chemotherapy
Automatic Generation of High-Coverage Tests for RTL Designs using Software Techniques and Tools
Register Transfer Level (RTL) design validation is a crucial stage in the
hardware design process. We present a new approach to enhancing RTL design
validation using available software techniques and tools. Our approach converts
the source code of a RTL design into a C++ software program. Then a powerful
symbolic execution engine is employed to execute the converted C++ program
symbolically to generate test cases. To better generate efficient test cases,
we limit the number of cycles to guide symbolic execution. Moreover, we add
bit-level symbolic variable support into the symbolic execution engine.
Generated test cases are further evaluated by simulating the RTL design to get
accurate coverage. We have evaluated the approach on a floating point unit
(FPU) design. The preliminary results show that our approach can deliver
high-quality tests to achieve high coverage
Systematic Determination of Absolute Absorption Cross-section of Individual Carbon Nanotubes
Determination of optical absorption cross-section is always among the central
importance of understanding a material. However its realization on individual
nanostructures, such as carbon nanotubes, is experimentally challenging due to
the small extinction signal using conventional transmission measurements. Here
we develop a technique based on polarization manipulation to enhance the
sensitivity of single-nanotube absorption spectroscopy by two-orders of
magnitude. We systematically determine absorption cross-section over broad
spectral range at single-tube level for more than 50 chirality-defined
single-walled nanotubes. Our data reveals chirality-dependent one-dimensional
photo-physics through the behaviours of exciton oscillator strength and
lifetime. We also establish an empirical formula to predict absorption spectrum
of any nanotube, which provides the foundation to determine quantum
efficiencies in important photoluminescence and photovoltaic processes
Safety-oriented planning of expressway truck service areas based on driver demand
Funding This study was supported by the National Natural Science Foundation of China (51978522).Peer reviewedPublisher PD
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