1,053 research outputs found
Biomimetic Adsorbents: Enrichment of Trace Amounts of Organic Contaminants (TAOCs) in Aqueous Solution
Construction of Solar Panel Laying System based on Genetic Algorithm
Solar power generation is an important energy resource in most countries. It plays an important role in meeting energy demand, improving energy structure and reducing environmental pollution. The main carrier of solar power generation is solar panels, but the utilization efficiency of most existing solar cells is low, which causes serious waste of solar energy. In response to this phenomenon, we propose a Solar Panel Laying System(SPLS) based on genetic algorithm(GA) to construct solar panels, which solves four problems: the determination of the number of battery components, the layout of the panels, the selection of the inverter and the connection of the inverter. In the SPLS ,we introduce an improved genetic algorithm and multi-objective optimization solution. Under the double premise that the total amount of solar photovoltaic power generation is as large as possible and the cost per unit of power generation is as small as possible, the quantitative solution of the laying system is realized
Reconstruction of mandibular defects using vascularized fibular osteomyocutaneous flap combined with nonvascularized fibular flap
The height of single-layer fibular flap is not long enough to return to the ideal height of the mandible. While the double-layer vascularized fibular osteomyocutaneous flap(VFF) is more complicated in shaping and fixation, along with a longer operation time. The aim of this study was to investigate the clinical effect of VFF combined with nonvascularized fibular flap(NVFF) in the reconstruction of mandibular defect. From September 2016 to June 2018, 15 patients with benign mandibular tumors underwent reconstruction with VFF and NVFF. SimPlant Pro ? software (version 11.04) was used to simulate reconstruction of the mandible preoperatively. All patients were followed up for 8-23 month, with an average of 11.7 months. 15 VFFs survived well. Among the 15 NVFFs, one was almost completely absorbed, two with partial absorption, and the remaining survived regardless of the small amount of absorption. The postoperative absorption of the whole fibula was 7.53±6.362%, a favorable facial contour and speech function were attained. The VFF combined with NVFF to reconstruct the mandibular defect can restore the vertical height of the mandible and achieve satisfactory clinical results
A Rapid and Sensitive Europium Nanoparticle-Based Lateral Flow Immunoassay Combined with Recombinase Polymerase Amplification for Simultaneous Detection of Three Food-Borne Pathogens
Food-borne pathogens have become an important public threat to human health. There are many kinds of pathogenic bacteria in food consumed daily. A rapid and sensitive testing method for multiple food-borne pathogens is essential. Europium nanoparticles (EuNPs) are used as fluorescent probes in lateral flow immunoassays (LFIAs) to improve sensitivity. Here, recombinase polymerase amplification (RPA) combined with fluorescent LFIA was established for the simultaneous and quantitative detection of Listeria monocytogenes, Vibrio parahaemolyticus, and Escherichia coli O157:H7. In this work, the entire experimental process could be completed in 20 min at 37 degrees C. The limits of detection (LODs) of EuNP-based LFIA-RPA were 9.0 colony-forming units (CFU)/mL for Listeria monocytogenes, 7.0 CFU/mL for Vibrio parahaemolyticus, and 4.0 CFU/mL for Escherichia coli O157:H7. No cross-reaction could be observed in 22 bacterial strains. The fluorescent LFIA-RPA assay exhibits high sensitivity and good specificity. Moreover, the average recovery of the three food-borne pathogens spiked in food samples was 90.9-114.2%. The experiments indicate the accuracy and reliability of the multiple fluorescent test strips. Our developed EuNP-based LFIA-RPA assay is a promising analytical tool for the rapid and simultaneous detection of multiple low concentrations of food-borne pathogens
Prediction of chlorophyll a concentration using HJ-1 satellite imagery for Xiangxi Bay in Three Gorges Reservoir
AbstractSince the impoundment of the Three Gorges Reservoir in 2003, algal blooms have frequently been observed in it. The chlorophyll a concentration is an important parameter for evaluating algal blooms. In this study, the chlorophyll a concentration in Xiangxi Bay, in the Three Gorges Reservoir, was predicted using HJ-1 satellite imagery. Several models were established based on a correlation analysis between in situ measurements of the chlorophyll a concentration and the values obtained from satellite images of the study area from January 2010 to December 2011. Chlorophyll a concentrations in Xiangxi Bay were predicted based on the established models. The results show that the maximum correlation is between the reflectance of the band combination of B4/(B2+B3) and in situ measurements of chlorophyll a concentration. The root mean square errors of the predicted values using the linear and quadratic models are 18.49 mg/m3 and 18.52 mg/m3, respectively, and the average relative errors are 37.79% and 36.79%, respectively. The results provide a reference for water bloom prediction in typical tributaries of the Three Gorges Reservoir and contribute to large-scale remote sensing monitoring and water quality management
Circular RNA circHIPK3 Promotes the Proliferation and Differentiation of Chicken Myoblast Cells by Sponging miR-30a-3p
Circular RNAs and microRNAs widely exist in various species and play crucial roles in multiple biological processes. It is essential to study their roles in myogenesis. In our previous sequencing data, both miR-30a-3p and circular HIPK3 (circHIPK3) RNA, which are produced by the third exon of the HIPK3 gene, were differentially expressed among chicken skeletal muscles at 11 embryo age (E11), 16 embryo age (E16), and 1-day post-hatch (P1). Here, we investigated their potential roles in myogenesis. Proliferation experiment showed that miR-30a-3p could inhibit the proliferation of myoblast. Through dual-luciferase assay and Myosin heavy chain (MYHC) immunofluorescence, we found that miR-30a-3p could inhibit the differentiation of myoblast by binding to Myocyte Enhancer Factor 2 C (MEF2C), which could promote the differentiation of myoblast. Then, we found that circHIPK3 could act as a sponge of miR-30a-3p and exerted a counteractive effect of miR-30a-3p by promoting the proliferation and differentiation of myoblasts. Taking together, our data suggested that circHIPK3 could promote the chicken embryonic skeletal muscle development by sponging miR-30a-3p
Beating the break-even point with a discrete-variable-encoded logical qubit
Quantum error correction (QEC) aims to protect logical qubits from noises by
utilizing the redundancy of a large Hilbert space, where an error, once it
occurs, can be detected and corrected in real time. In most QEC codes, a
logical qubit is encoded in some discrete variables, e.g., photon numbers. Such
encoding schemes make the codewords orthogonal, so that the encoded quantum
information can be unambiguously extracted after processing. Based on such
discrete-variable encodings, repetitive QEC demonstrations have been reported
on various platforms, but there the lifetime of the encoded logical qubit is
still shorter than that of the best available physical qubit in the entire
system, which represents a break-even point that needs to be surpassed for any
QEC code to be of practical use. Here we demonstrate a QEC procedure with a
logical qubit encoded in photon-number states of a microwave cavity,
dispersively coupled to an ancilla superconducting qubit. By applying a pulse
featuring a tailored frequency comb to the ancilla, we can repetitively extract
the error syndrome with high fidelity and perform error correction with
feedback control accordingly, thereby exceeding the break-even point by about
16% lifetime enhancement. Our work illustrates the potential of the
hardware-efficient discrete-variable QEC codes towards a reliable quantum
information processor.Comment: Main text: 8 pages, 3 figures, 1 table; Supplement: 12 pages, 8
figures, 2 table
Tunable boson-assisted finite-range interaction and engineering Majorana corner modes in optical lattices
Nonlocal interaction between ultracold atoms trapped in optical lattices can
give rise to interesting quantum many-body phenomena. However, its realization
usually demands unconventional techniques, for example the artificial gauge
fields or higher-orbit Feshbach resonances, and is not highly controllable.
Here, we propose a valid and feasible scheme for realizing a tunable
finite-range interaction for spinless fermions immersed into the bath of
bosons. The strength of the effective interaction for the fermionic subsystem
is artificially tunable by manipulating bosons, ranging from the repulsive to
attractive regime. And the interaction distance is locked to the hopping of
bosons, making the finite-range interaction perfectly clean for the fermionic
subsystem. Specifically we find that, by introducing an additional staggered
hopping of bosons, the proposal is readily applied to search the Majorana
corner modes in such a spinless system, without implementation of complex
artificial gauge fields, which is totally distinct from existing results
reported in spinful systems. Therefore this scheme provides a potential
platform for exploring the unconventional topological superfluids and other
nontrivial phases induced by long-range interactions in ultracold atoms.Comment: 11 pages, 6 figure
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