Publications by authors named "Zhe Mei"

A magnesium oxide (MgO) coating strategy is proposed for improving the cobalt-free high-nickel LiNiMnO cathode. It is revealed that a MgO coating can stabilize reversible Ni/Ni redox and suppress structural degradation. The MgO coated LiNiMnO exhibits a promising capacity retention of 66.

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Reversible three-electron redox of Cr /Cr in layered cathode materials for rechargeable batteries is very attractive in layered cathode materials, which leads to high capacity and energy density for rechargeable batteries. However, the poor reversibility and Cr-ion migration make it very challenging. In this work, by introducing V ions into tetrahedral sites of layer-structured NaCrO , reversible three-electron redox of Cr /Cr is realized successfully in NaCr V O (NCV05) cathode for potassium-ion batteries with a cut-off voltage of 4.

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For buried municipal tunnels-such as cable tunnels and utility tunnels with structural defects-due to the sheltering of the internal pipelines, shelves, and other auxiliary facilities, traditional trenchless rehabilitating methods are not applicable since an intact ring is needed for spraying and lining. In these tunnels, only the exposed area at the crown of the ring can be partly rehabilitated. In this paper, three-edge bearing tests (TEBTs) for partially rehabilitated reinforced concrete (RC) pipe sections are carried out to simulate the case of a municipal tunnel and the effects of different repair materials (cement mortar and epoxy resin) and different dimensional parameters of the liner (lining thickness, lining range) on the partial rehabilitation effect of defective RC pipes are studied.

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Article Synopsis
  • The challenge of distinguishing real protein structures from computational model decoys remains unresolved, requiring an understanding of key physical features that characterize authentic proteins.
  • Two datasets were utilized for comparison: one from a protein structure prediction competition and another generated by a tool that creates decoys with varying deviations from actual structures.
  • The study found that decoys often have inconsistencies in features like core density, residue distribution, and hydrophobicity, leading to the development of a neural network model that effectively ranks these decoys based on crucial protein characteristics.
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Article Synopsis
  • Several studies indicate notable differences between protein structures determined by NMR spectroscopy and X-ray crystallography.
  • We created a database of high-quality protein structures from both methods and observed significant variations in factors like atomic positions, amino acid identities, and packing densities.
  • Our modeling approach, using jammed packings of amino acids, reveals that the differences stem from varying degrees of thermalization during packing, suggesting that thermalized systems lead to denser structures compared to athermal systems.
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Dense packing of hydrophobic residues in the cores of globular proteins determines their stability. Recently, we have shown that protein cores possess packing fraction ϕ≈0.56, which is the same as dense, random packing of amino-acid-shaped particles.

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Although a flow cytometer, being one of the most popular research and clinical tools for biomedicine, can analyze cells based on the cell size, internal structures such as granularity, and molecular markers, it provides little information about the physical properties of cells such as cell stiffness and physical interactions between the cell membrane and fluid. In this paper, we propose a computational cell analysis technique using cells' different equilibrium positions in a laminar flow. This method utilizes a spatial coding technique to acquire the spatial position of the cell in a microfluidic channel and then uses mathematical algorithms to calculate the ratio of cell mixtures.

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Sensitivity, dynamic range and detection efficiency are among the key figures of merit for 1550 nm wavelength detectors that find applications in communications, sensing, and imaging. Some fundamental material and device limits have added tremendous difficulties for a single device to achieve high sensitivity and dynamic range without significant trade-offs. We present a concept that can potentially overcome this performance bottleneck.

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A unique optofluidic lab-on-a-chip device that can measure optically encoded forward scattering signals has been demonstrated. From the design of the spatial pattern, the position and velocity of each cell in the flow can be detected and then a spatial cell distribution over the cross section of the channel can be generated. According to the forward scattering intensity and position information of cells, a data-mining method, support vector machines (SVMs), is applied for cell classification.

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We have demonstrated a microfluidic device that can not only achieve three-dimensional flow focusing but also confine particles to the center stream along the channel. The device has a sample channel of smaller height and two sheath flow channels of greater height, merged into the downstream main channel where 3D focusing effects occur. We have demonstrated that both beads and cells in our device display significantly lower CVs in velocity and position distributions as well as reduced probability of coincidental events than they do in conventional 2D-confined microfluidic channels.

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A microfluidic lab-on-a-chip Coulter counter was demonstrated to count micro particles and leukocytes from whole blood. Instead of electroplated or deposited metal electrodes, off-the-shelf gold pins were used as electrodes to simplify fabrication process, reduce cost, enhance device durability, and above all, achieve superior uniformity in E-field distribution for improved signal quality. A custom-designed, low-cost demodulation circuit was developed to detect the AC impedance signals of the particles and cells passing the detection area defined by the microfluidic channels.

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We demonstrated a unique optofluidic lab-on-a-chip device that can measure optically encoded forward scattering signals. From the design of the spatial pattern, we can measure the position and velocity of each cell in the flow and generate a 2-D cell distribution plot over the cross section of the channel. Moreover, we have demonstrated that the cell distribution is highly sensitive to its size and stiffness.

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We demonstrated an optical coding method to measure the position of each particle in a microfluidic channel. The technique utilizes a specially designed pattern as a spatial mask to encode the forward scattering signal of each particle. From the waveform of the forward scattering signal, one can obtain the information about the particle position and velocity.

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An "optical space-time coding method" was applied to microfluidic devices to detect the forward and large angle light scattering signals for unlabelled bead and cell detection. Because of the enhanced sensitivity by this method, silicon pin photoreceivers can be used to detect both forward scattering (FS) and large angle (45-60°) scattering (LAS) signals, the latter of which has been traditionally detected by a photomultiplier tube. This method yields significant improvements in coefficients of variation (CV), producing CVs of 3.

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