87 research outputs found
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Water-Soluble Flexible Organic Frameworks That Include and Deliver Proteins.
Four water-soluble hydrazone-based three-dimensional (3D) flexible organic frameworks FOF-1-4 have been synthesized from a semirigid tetracationic tetraaldehyde and four flexible dihydrazides. 1H NMR spectroscopy indicated the quantitative formation of FOF-1-4 in D2O, while dynamic light scattering experiments revealed that, depending on the concentration, these porous frameworks display hydrodynamic diameters ranging from 50 to 120 nm. The porosity of the frameworks is confirmed by ethanol vapor adsorption experiments of the solid samples as well as the high loading capacity for a 2.3 nm porphyrin guest in water. The new water-soluble frameworks exhibit low cytotoxicity and form inherent pores with diameters of 5.3 or 6.7 nm, allowing rapid inclusion of proteins such as bovine serum albumin and green and orange fluorescent proteins, and efficient delivery of the proteins into normal and cancer cells. Flow cytometric analysis reveals percentages of the delivered cells up to 99.8%
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition
In human-computer interaction, Speech Emotion Recognition (SER) plays an
essential role in understanding the user's intent and improving the interactive
experience. While similar sentimental speeches own diverse speaker
characteristics but share common antecedents and consequences, an essential
challenge for SER is how to produce robust and discriminative representations
through causality between speech emotions. In this paper, we propose a Gated
Multi-scale Temporal Convolutional Network (GM-TCNet) to construct a novel
emotional causality representation learning component with a multi-scale
receptive field. GM-TCNet deploys a novel emotional causality representation
learning component to capture the dynamics of emotion across the time domain,
constructed with dilated causal convolution layer and gating mechanism.
Besides, it utilizes skip connection fusing high-level features from different
gated convolution blocks to capture abundant and subtle emotion changes in
human speech. GM-TCNet first uses a single type of feature, mel-frequency
cepstral coefficients, as inputs and then passes them through the gated
temporal convolutional module to generate the high-level features. Finally, the
features are fed to the emotion classifier to accomplish the SER task. The
experimental results show that our model maintains the highest performance in
most cases compared to state-of-the-art techniques.Comment: The source code is available at:
https://github.com/Jiaxin-Ye/GM-TCNe
Research Progress in the Effect of Thermal Treatments on the Structural and Physicochemical Properties of Starch
Starch is a very important plant polysaccharide, which is also an important industrial raw material for food production and processing.Since natural starch has poor heat, shear and acid resistance, and is easy to retrograde.It is necessary to carry out physical modification, chemical modification and enzyme modification.Among starch modification, especially chemical modification, chemical reagents are easy to remain in modified starch, so rapid and safe physical modification has attracted more and more attention.In physical modification, thermal processing modification is widely used.This paper summarizes the effects of six thermally treated technologies on the structure and properties of starch, aiming to provide a theoretical reference for the research on physicochemical properties of physically modified starch, in order to provide a certain theoretical basis for the production and development of starch with specific needs
Filtering one-way Einstein-Podolsky-Rosen steering
Einstein-Podolsky-Rosen (EPR) steering, a fundamental concept of quantum
nonlocality, describes one observer's capability to remotely affect another
distant observer's state by local measurements. Unlike quantum entanglement and
Bell nonlocality, both associated with the symmetric quantum correlation, EPR
steering depicts the unique asymmetric property of quantum nonlocality. With
the local filter operation in which some system components are discarded,
quantum nonlocality can be distilled to enhance the nonlocal correlation, and
even the hidden nonlocality can be activated. However, asymmetric quantum
nonlocality in the filter operation still lacks a well-rounded investigation,
especially considering the discarded parts where quantum nonlocal correlations
may still exist with probabilities. Here, in both theory and experiment, we
investigate the effect of the local filter on EPR steering. We observe all
configurations of EPR steering simultaneously and other intriguing evolution of
asymmetric quantum nonlocality, such as reversing the direction of one-way EPR
steering. This work provides a complementary perspective to understand the
asymmetric quantum nonlocality and demonstrates a practical toolbox for
manipulating asymmetric quantum systems with significant potential applications
in quantum information tasks.Comment: 11pages, 7figure
On Entire Function Solutions to Fermat Delay-Differential Equations
This paper concerns the existence and precise expression form of entire solutions to a certain type of delay-differential equation. The significance of our results lie in that we generalize and supplement the related results obtained recently
PEO-Based Block Copolymer Electrolytes Containing Double Conductive Phases with Improved Mechanical and Electrochemical Properties
In this work, the advanced all solid-state block copolymer electrolytes (SBCPEs) for lithium-ion batteries with double conductive phases, poly(ethylene oxide)-b-poly(trimethyl-N-((2-(dimethylamino)ethyl methacrylate)-7-propyl)-ammonium bis(trifluoromethanesulfonyl) imide) (PEO-b-PDM-dTFSI)/LiTFSI, were fabricated, in which the charged PDM-dTFSI block contained double quaternary ammonium cations and the PEO block was doped with LiTFSI. The disordered (DIS) and ordered lamellae (LAM) phase structures were achieved by adjusting the composition of the block copolymer and the doping ratio r. In addition, the presence of the hard PDM-dTFSI block and the formation of the LAM phase structure resulted in a good mechanical strength of the solid PEO-b-PDM-dTFSI/LiTFSI electrolyte, and it could maintain a high level of 104 Pa at 100 °C, which was around 10,000 times stronger than that of the PEO/LiTFSI electrolyte. Based on the good mechanical and electrochemical properties, the PEO-b-PDM-dTFSI/LiTFSI SBCPE exhibited excellent long-term galvanostatic cycle performance, indicating the strong ability to suppress lithium dendrites
Structural refinement of 00Cr13Ni5Mo2 supermartensitic stainless steel during single-stage intercritical tempering
The 00Cr13Ni5Mo2 supermartensitic stainless steel was first tempered at 570-730°C for 2 h to observe the microstructure and hardness changes. The tempering temperature was set to 600, 650, and 700°C, which is below, equal to, and above the austenite transformation start temperature, respectively, for each holding period to investigate the effects of tempering time on the structure and properties of the steel. The microstructure of the specimens was examined by optical microscopy and transmission electronic microscopy, and the phase composition was detected by X-ray diffraction. As expected, lath refinement was observed in the steel tempered at 700°C, and the refinement degree significantly depended on the tempering time. Contrary to normal steel softening by tempering, the hardness performance of the steel was significantly enhanced primarily because of the refinement of martensite laths after single-stage intercritical tempering. It is believed that the reverse transformation of martensite (α′) to austenite (γ) is responsible for the refinement. 2014 University of Science and Technology Beijing and Springer-Verlag Berlin Heidelberg
Quantitative Analysis of Phenolic Acids and Flavonoids in Cuscuta chinensis Lam. by Synchronous Ultrasonic-Assisted Extraction with Response Surface Methodology
An effective ultrasonic-assisted extraction method for the separation of phenolic acids and flavonoids in Cuscuta chinensis Lam. was conducted by combining uniform design (UD) coupled with response surface methodology (RSM) and orthogonal design (OD) experiment. A sensitive and selective high-performance liquid chromatography-electrospray ionization tandem triple quadrupole mass spectrometry (HPLC-ESI-MS/MS) method was applied to quantify the sixteen active ingredients (chlorogenic acid, cryptochlorogenic acid, neochlorogenic acid, isochlorogenic acid A, isochlorogenic acid B, isochlorogenic acid C, caffeic acid, hyperin, isoquercitrin, quercetin, campherol, p-coumaric acid, isorhamnetin, rutin, astragalin, and apigenin). The extraction method was optimized with respect to concentration of extraction solvent, extraction time, and ratio of liquid to solid as a consequence of getting a high sensitive and feasible method for simultaneous determination of contents of multiple components and evaluation of quality control of Cuscuta chinensis Lam. from different origins. It was also considered useful and valuable in the further study for quality control of Cuscuta chinensis Lam
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