171 research outputs found
Improvement of peptide identification with considering the abundance of mRNA and peptide
Scripts used for data analysis in this study. (DOCX 35Â kb
Cramer-Rao Bounds for Near-Field Sensing: A Generic Modular Architecture
A generic modular array architecture is proposed, featuring
uniform/non-uniform subarray layouts that allows for flexible deployment. The
bistatic near-field sensing system is considered, where the target is located
in the near-field of the whole modular array and the far-field of each
subarray. Then, the closed-form expressions of Cramer-Rao bounds (CRBs) for
range and angle estimations are derived based on the hybrid spherical and
planar wave model (HSPM). Simulation results validate the accuracy of the
derived closed-form CRBs and demonstrate that: i) The HSPM with varying angles
of arrival (AoAs) between subarrays can reduce the CRB for range estimation
compared to the traditional HSPM with shared AoA; and ii) The proposed generic
modular architecture with subarrays positioned closer to the edges can
significantly reduce the CRBs compared to the traditional modular architecture
with uniform subarray layout, when the array aperture is fixed
From Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs
The distinction between humans and animals lies in the unique ability of
humans to use and create tools. Tools empower humans to overcome physiological
limitations, fostering the creation of magnificent civilizations. Similarly,
enabling foundational models like Large Language Models (LLMs) with the
capacity to learn external tool usage may serve as a pivotal step toward
realizing artificial general intelligence. Previous studies in this field have
predominantly pursued two distinct approaches to augment the tool invocation
capabilities of LLMs. The first approach emphasizes the construction of
relevant datasets for model fine-tuning. The second approach, in contrast, aims
to fully exploit the inherent reasoning abilities of LLMs through in-context
learning strategies. In this work, we introduce a novel tool invocation
pipeline designed to control massive real-world APIs. This pipeline mirrors the
human task-solving process, addressing complicated real-life user queries. At
each step, we guide LLMs to summarize the achieved results and determine the
next course of action. We term this pipeline `from Summary to action', Sum2Act
for short. Empirical evaluations of our Sum2Act pipeline on the ToolBench
benchmark show significant performance improvements, outperforming established
methods like ReAct and DFSDT. This highlights Sum2Act's effectiveness in
enhancing LLMs for complex real-world tasks
Endothelial Cell-Specific Molecule 2 (Ecsm2) Localizes To Cell-Cell Junctions And Modulates Bfgf-Directed Cell Migration Via The Erk-Fak Pathway
Background: Despite its first discovery by in silico cloning of novel endothelial cell-specific genes a decade ago, the biological functions of endothelial cell-specific molecule 2 (ECSM2) have only recently begun to be understood. Limited data suggest its involvement in cell migration and apoptosis. However, the underlying signaling mechanisms and novel functions of ECSM2 remain to be explored. Methodology/Principal Findings: A rabbit anti-ECSM2 monoclonal antibody (RabMAb) was generated and used to characterize the endogenous ECSM2 protein. Immunoblotting, immunoprecipitation, deglycosylation, immunostaining and confocal microscopy validated that endogenous ECSM2 is a plasma membrane glycoprotein preferentially expressed in vascular endothelial cells (ECs). Expression patterns of heterologously expressed and endogenous ECSM2 identified that ECSM2 was particularly concentrated at cell-cell contacts. Cell aggregation and transwell assays showed that ECSM2 promoted cell-cell adhesion and attenuated basic fibroblast growth factor (bFGF)-driven EC migration. Gain or loss of function assays by overexpression or knockdown of ECSM2 in ECs demonstrated that ECSM2 modulated bFGF-directed EC motility via the FGF receptor (FGFR)-extracellular regulated kinase (ERK)-focal adhesion kinase (FAK) pathway. The counterbalance between FAK tyrosine phosphorylation (activation) and ERK-dependent serine phosphorylation of FAK was critically involved. A model of how ECSM2 signals to impact bFGF/FGFR-driven EC migration was proposed. Conclusions/Significance: ECSM2 is likely a novel EC junctional protein. It can promote cell-cell adhesion and inhibit bFGF-mediated cell migration. Mechanistically, ECSM2 attenuates EC motility through the FGFR-ERK-FAK pathway. The findings suggest that ECSM2 could be a key player in coordinating receptor tyrosine kinase (RTK)-, integrin-, and EC junctional component-mediated signaling and may have important implications in disorders related to endothelial dysfunction and impaired EC junction signaling. © 2011 Shi et al
Spectroscopic Evidence for Interfacial Charge Separation and Recombination in Graphene-MoS2 Vertical Heterostructures
Vertical van der Waals (vdW) heterostructures consisting of graphene (Gr) and
transition metal dichalcogenides (TMDs) have created a fascinating platform for
exploring optical and electronic properties in the two-dimensional limit.
Previous study has revealed the ultrafast formation of interfacial excitons and
the exciton dynamics in the Gr/MoS2 heterostructure. However, a fully
understanding of interfacial charge separation and the subsequent dynamics in
graphene-based heterostructures remains elusive. Here, we investigate the
carrier dynamics of Gr-MoS2 (including Gr/MoS2 and MoS2/Gr stacking sequences)
heterostructures under different photoexcitation energies and stacking
sequences by comprehensive ultrafast means, including time-resolved terahertz
spectroscopy (TRTS), terahertz emission spectroscopy (TES) and transient
absorption spectroscopy (TAS). We demonstrate that the Gr/MoS2 heterostructure
generates hot electron injection from graphene into the MoS2 layer with
photoexcitation of sub-A-exciton of MoS2, while the interfacial charge
separation in the MoS2/Gr could be partially blocked by the electric field of
substrate. Charge transfer (CT) occurs in same directions for the Gr-MoS2
heterostructures with opposite stacking order, resulting in the opposite
orientations of the interfacial photocurrent, as directly demonstrated by the
terahertz (THz) emission. Moreover, we demonstrate that the recombination time
of interfacial charges after CT is on a timescale of 18 ps to 1 ns, depending
on the density of defect states in MoS2 layer. This work provides a
comprehensive and unambiguous picture of the interfacial charge dynamics of
graphene-based heterostructures, which is essential for developing Gr/TMDs
based optoelectronic devices.Comment: 23 pages, 5 Figure
Three‐channel electrical impedance spectroscopy for field‐scale root phenotyping
AbstractElectrical impedance spectroscopy has long been considered a promising technique for noninvasive, in‐situ root investigation because of its sensitivity to anatomy and physiology. However, the complexity of the root system and its coupling with stem and soil have hindered the signal interpretation and methodological upscaling to field applications. This study addresses these key issues by introducing three‐channel acquisitions and their interpretation through Cole–Cole fitting. This solution could successfully decouple the impedance response of stem, roots, and soil, as well as provide convenient parametrization and comparison of their impedance signals. The methodological solution was tested on 80 wheat (Triticum aestivum L.) and 10 pecan [Carya illinoensis (Wangenh.) K. Koch] plants, the first extensive and field investigation. The investigation provided evidence of (a) proximal current leakage in herbaceous root systems, extending recent laboratory results and previous indirect field studies. (b) Major role of the plant stem, which has been a substantial concern raised in numerous studies. (c) Minor contribution from the soil, addressing the doubts on the comparability of results obtained in different soil conditions. All together, these evidences lead to indirect correlations between impedance signals and root traits. The explored solution is expected to support the adoption of the impedance spectroscopy, in line with the diffusion of multichannel impedance meters and growing interest in root physiology and phenotyping
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