Epidemiological and etiological characteristics of hand, foot, and mouth disease in Wuhan, China from 2012 to 2013: outbreaks of coxsackieviruses A10.

Hand-foot-mouth disease (HFMD) is a common infectious disease which often occurs in young children. It is caused by enteroviruses, most commonly enterovirus71 (EV71) and Coxsackievirus A16 (CVA16). The present study focuses on the molecular epidemiology of the pathogen of HFMD in the Wuhan region of China during the period 2012 to 2013. A total of 463 viruses were isolated from throat swab of 3,208 HFMD patients and analyzed by quantitative RT-PCR with all sets of specific primers for EV71, CVA16, and pan-enterovirus. Of the 463 viruses, 111 (21.2%) were EV71, 52 (9.6%) were CVA16, and 300 (69.2%) were pan-enterovirus. In pan-enterovirus isolations 190 (52.8%) were CVA10, 50 (13.9%) were CVA4, 30 were CB2, 17 were CB3, 13 were CB5 identified by VP4 gene sequencing. Eleven EV71 isolates were complete genome sequenced and phylogenetic analysis revealed that the EV71 strains that circulated in Wuhan belonged to the C4 subgenotype. Among the 190 CVA10 isolations, 187 CVA10 strains have the same nucleotide sequence, the other three CVA10 strains belongs to another type of nucleotide sequence. Phylogenetic analysis based on 19 CVA10 isolations suggested that they belonged to the clade of Chinese strains, but form different clusters isolated from Japan, Europe. This study showed that EVA71 and CVA16 were detected as the predominant viruses (>60%) in 2012 and the total reported HFMD cases attained a peak in June and July. In contrast, CVA10 was also detected during April 2012 and replaced EVA71 and CVA16 as the major HFMD-associated pathogen from May 2013.

Improved ACOM pattern matching in 4D-STEM through adaptive sub-pixel peak detection and image reconstruction.

The technique known as 4D-STEM has recently emerged as a powerful tool for the local characterization of crystalline structures in materials, such as cathode materials for Li-ion batteries or perovskite materials for photovoltaics. However, the use of new detectors optimized for electron diffraction patterns and other advanced techniques requires constant adaptation of methodologies to address the challenges associated with crystalline materials. In this study, we present a novel image-processing method to improve pattern matching in the determination of crystalline orientations and phases. Our approach uses sub-pixel adaptive image processing to register and reconstruct electron diffraction signals in large 4D-STEM datasets. By using adaptive prominence and linear filters, we can improve the quality of the diffraction pattern registration. The resulting data compression rate of 103 is well-suited for the era of big data and provides a significant enhancement in the performance of the entire ACOM data processing method. Our approach is evaluated using dedicated metrics, which demonstrate a high improvement in phase recognition. Several features are extracted from the registered data to map properties such as the spot count, and various virtual dark fields, which are used to enhance the handling of the results maps. Our results demonstrate that this data preparation method not only enhances the quality of the resulting image but also boosts the confidence level in the analysis of the outcomes related to determining crystal orientation and phase. Additionally, it mitigates the impact of user bias that may occur during the application of the method through the manipulation of parameters.

1The harm of residual plastic film and its accumulation driving factors in northwest China.

The background to this research is stark and rather troubling: the ongoing accumulation of residual plastic film (RPF) in farmland ultimately threatens the sustainable development of agriculture and food security. In this study, we selected 15 counties in northern China to analyze the effect of RPF content on soil properties and crop yield and the driving factors through sampling and survey questionnaire. The linear mixed-effects model revealed the four main factors affecting RPF content, ranked as follows: plastic film mulching years > government recycling policy > spacing between rows > recycling methods (0.47493 > 0.25635 > 0.23380 > 0.17001). The contribution value of plastic film thickness was very low (R2(M) = 0.099). The plastic film width and spacing within rows did not significantly affect RPF content. The structural equation model showed that the RPF had both direct (-0.111) and indirect (-0.010) effects on maize yield. A 1 kg ha-1 increase in RPF content decreased maize yield by 27.67 kg ha-1. RPF did not directly affect soil organic carbon (SOC), pH, or ammonium nitrogen. RPF mainly aggravated soil salinization by increasing soil nitrate-nitrogen, available phosphorus, and available potassium, increasing SOC and decreasing pH, thus reducing crop yield. To the best of our knowledge, this is the first study to combine the driving factors of RPF accumulation and the effects of RPF on soil properties and crop yield in a large-scale sampling and survey questionnaire. RPF accumulation in the study area has aggravated soil salinization and reduced crop yields. Hence, measures are needed to alleviate the current situation. Local governments should formulate RPF recovery policies based on their actual situation. At the national level, more research is needed to develop RPF recovery machinery to improve efficiency.

Quantum Dot Hybridization of Piezoelectric Polymer Films for Non-Transfer Integration of Flexible Biomechanical Energy Harvesters.

This work presents a low-temperature engineering strategy, from quantum dot (QD) synthesis to fabrication of a hybrid from a homogeneous dispersion to thermal annealing with elaborate use of a small organic molecule dopamine, for achieving a kind of ZnO QD-hybridized piezoelectric polymer film directly integrated into a flexible electrode and a plastic substrate. This strategy is the key for non-transfer assembly of flexible piezoelectric nanogenerators (FPENGs) with both mechanical robustness and high electrical performance via direct lamination. The rational addition of dopamine plays multiple roles of (1) significantly decreasing the size of ZnO particles to a QD level (3.77 nm), (2) formation of a stable and homogeneous dispersion of a ZnO QDs/piezoelectric polyvinylidene fluoride-co-hexafluoropropylene copolymer for uniform hybridization of a piezoelectric film, and (3) increment of the piezoelectric phase via induced crystallization at a low annealing temperature. This dopamine-assisted low-temperature annealing strategy for a hybrid piezoelectric film with a high d33 value (∼31.56 pC/N, 30.56% larger than that of a pure piezoelectric polymer film) required no additional high-voltage polarization treatment and effectively avoided the delamination, distortion, or melt phenomenon between the piezoelectric layer, flexible electrode, and plastic protective layer caused by the high temperature and thermal stress. The obtained FPENGs showed significantly enhanced output performance and mechanical robustness under repeated impact and large amounts of strain conditions. Their specific output voltage and charge density were stably maintained at 7.16 V and 2.40 nC/cm2, which were 30.7 and 50.0% higher than those of FPENGs based on a pure piezoelectric polymer film, respectively. They were further used as biomechanical energy harvesters for generating electricity to charge capacitor energy storage devices for power electronics and self-powered sensors for visual motion-detecting systems, indicating their promising applications in both wearable technology and smart homes.

An Algorithm for Solving the Phase Ambiguity Problem of SAW Delay-Line Sensor Systems.

Solving the phase ambiguity problem is crucial to achieving a wide-range and high-precision measurement for the frequency-domain sampling (FDS)-based surface acoustic wave (SAW) delay-line sensor systems. This study proposes an improved phase estimation algorithm called dual-band phase estimation (DBPE) to solve the problem. By using DBPE, the SAW sensor system can obtain an extensive and alterable measuring range without further requirements for sensor design or transmitted signals. Thus, it can be widely used in various FDS-based SAW delay-line sensor systems. Monte Carlo simulations and temperature measuring experiments, based on a YZ-cut LiNbO3 SAW delay-line sensor and a switched frequency-stepped continuous wave (S-FSCW) reader, are performed to demonstrate the algorithm's validity. The Monte Carlo simulations show that DBPE can effectively solve the phase ambiguity problem and has better performance than frequency estimation in measuring precision at a low signal-to-noise ratio (SNR). The temperature-sensing experiments show that DBPE has a good performance in measuring range and precision, serving as a phase ambiguity solver in the temperature sensor system.

A rational design of g-C3N4-based ternary composite for highly efficient H2 generation and 2,4-DCP degradation.

In this work, g-C3N4 based ternary composite (CeO2/CN/NH2-MIL-101(Fe)) has been fabricated via hydrothermal and wet-chemical methods. The composite showed superior photoactivities for H2O reduction to produce H2 and 2,4-dichlorophenol (2,4-DCP) degradation. The amount of H2 evolved over the composite under visible and UV-visible irradiations is 147.4 µmol·g-1·h-1 and 556.2 µmol·g-1·h-1, respectively. Further, the photocatalyst degraded 87% of 2,4-DCP in 2 hrs under visible light irradiations. The improved photoactivities are accredited to the synergistic-effects caused by the proper band alignment with close interfacial contact of the three components that significantly promoted charge transfer and separation. The 2,4-DCP degradation over the composite is dominated by OH radical rather than h+ and O2- as investigated by scavenger trapping experiments. This is further supported by the electron para-magnetic resonance (EPR) study. This work provides new directions for the development of g-C3N4 based highly efficient ternary composite materials for clean energy generation and pollution control.

Experimental and DFT Studies of Au Deposition Over WO3/g-C3N4 Z-Scheme Heterojunction.

A typical Z-scheme system is composed of two photocatalysts which generate two sets of charge carriers and split water into H2 and O2 at different locations. Scientists are struggling to enhance the efficiencies of these systems by maximizing their light absorption, engineering more stable redox couples, and discovering new O2 and H2 evolutions co-catalysts. In this work, Au decorated WO3/g-C3N4 Z-scheme nanocomposites are fabricated via wet-chemical and photo-deposition methods. The nanocomposites are utilized in photocatalysis for H2 production and 2,4-dichlorophenol (2,4-DCP) degradation. It is investigated that the optimized 4Au/6% WO3/CN nanocomposite is highly efficient for production of 69.9 and 307.3 µmol h-1 g-1 H2 gas, respectively, under visible-light (λ > 420 nm) and UV-visible illumination. Further, the fabricated 4Au/6% WO3/CN nanocomposite is significant (i.e., 100% degradation in 2 h) for 2,4-DCP degradation under visible light and highly stable in photocatalysis. A significant 4.17% quantum efficiency is recorded for H2 production at wavelength 420 nm. This enhanced performance is attributed to the improved charge separation and the surface plasmon resonance effect of Au nanoparticles. Solid-state density functional theory simulations are performed to countercheck and validate our experimental data. Positive surface formation energy, high charge transfer, and strong non-bonding interaction via electrostatic forces confirm the stability of 4Au/6% WO3/CN interface.

[Gene cloning, expression and polyclonal antibody preparation and application of translocated intimin receptor-cytoskeleton coupling protein].

AIM: To prepare translocated intimin receptor-cytoskeleton coupling protein (TccP) of Enterohaemorrhagic Escherichia coli (EHEC) O157:H7 and its polyclonal antibody. METHODS: TccP was amplified from the genome of EHEC O157:H7 Sakai strain by PCR and used to construct the recombinant prokaryotic expression vector pET28a-TccP. The recombinant vector was transformed into E.coli BL21( DE3) to express the protein in the bacteria under the induction of isopropy-D-thiogalactoside (IPTG). After purification, the protein was injected into New Zealand rabbits to prepare polyclonal antibody. Then the antibody was tested by ELISA and Western blotting for its sensitivity and specificity. The rabbit anti-TccP polyclonal antibody was then applied in the study on the localization of TccP within the host cells adhered by EHEC O157:H7. RESULTS: The sequence of TccP cDNA we amplified was the same as reported by GenBank. The recombinant prokaryotic expression vector pET28a-TccP was constructed successfully. Western blotting revealed that M(r); of the target protein expressed in E.coli BL21(DE3) was 37 000 and the rabbit anti-TccP polyclonal antibody had a specific reaction with the target protein, which demonstrated that the recombinant protein and its polyclonal antibody were prepared successfully. Immunofluorescence detection using rabbit anti-TccP polyclonal antibody showed that TccP aggregated in the cell membrane of the host cell adhered by EHEC O157:H7. CONCLUSION: We successfully prepared the recombinant vector pET28a-TccP and the anti-TccP polyclonal antibody and applied the antibody to confirm the localization of TccP in EHEC O157:H7 adhesion host cells.