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This study aimed to investigate the relationship between the polymorphism of

Adding fumed silica (SiO2) has been considered as an effective method for tailoring the phase morphology and performance of elastomer-toughened plastic binary blends. It has been demonstrated that the selective distribution of SiO2 plays a decisive role in the mechanical properties of plastic/elastomer/SiO2 nanocomposites, especially for the impact toughness. In this work, we aim to illuminate the role of specific surface area in controlling their selective distribution of fumed SiO2 and consequent mechanical properties of plastic/elastomer binary blends. Three types of SiO2 with different specific surface areas were incorporated into polylactide/ethylene-co-vinyl-acetate (PLA/EVA) model blends by melt blending directly. It was found that the selective distribution of SiO2 is largely determined by their specific surface areas, i.e. SiO2 nanoparticles with low specific surface area has a stronger tendency to be located at the interface between PLA matrix and EVA dispersed phase as compared to those with high specific surface area. The specific surface area-dependent interfacial selective distribution of SiO2 is mainly attributed to the extent of increased viscosity of EVA dispersed phase in which SiO2 nanoparticles are initially dispersed and resultant migration rate of SiO2 nanoparticles. The interfacial localized SiO2 nanoparticles induce an obvious enhancement in the impact toughness with strength and modulus well maintained. More importantly, in the case of the same interfacial distribution, toughening efficiency is increased with the specific surface area of SiO2. Therefore, this is an optimum specific surface area of SiO2 for the toughening. This work not only provides a novel way to manipulate the selective distribution of SiO2 in elastomer-toughened plastic blends toward high-performance, but also gives a deep insight into the role of interfacial localized nanoparticles in the toughening mechanism.

Graphical abstract, GS-9669 is a non-nucleos(t)ide inhibitor (NNI) binding to the thumb site II of the Hepatitis C virus (HCV) NS5B polymerase and has advanced into phase II trials. To clarify the drug resistance mechanisms of GS-9669 caused by M423T/I/V, L419M, R422K, and I482L mutations of NS5B polymerase (GT1b) and the receptor-ligand interactions during the binding process, a series of molecular simulation methods including molecular dynamics (MD) simulations and adaptive steered molecular dynamics (ASMD) simulations were performed for the wild-type (WT) and six mutant NS5B/GS-9669 complexes. The calculated results indicate that the binding free energies of the mutant systems are less negative than that of the WT system, indicating that these mutations will indeed cause NS5B to produce different degrees of resistance to GS-9669. The mutation-induced drug resistances are mainly caused by the loss of binding affinities of Leu419 and Trp528 with GS-9669 or the formation of multiple solvent bridges. Moreover, the ASMD calculations show that GS-9669 binds to the thumb II sites of the seven NS5B polymerases in distinct pathways without any obvious energy barriers. Although the recognition methods and binding pathways are distinct, the binding processes of GS-9669 with the WT and mutant NS5B polymerases are basically controlled thermodynamically. This study clearly reveals the resistance mechanisms of GS-9669 caused by M423T/I/V, L419M, R422K, and I482L mutations of HCV NS5B polymerase and provides some valuable clues for further optimization and design of novel NS5B inhibitors.

A typical application of unmanned aerial vehicles (UAVs) is the surveillance of distant targets, where data collected by its cameras need to be transmitted back to a ground terminal (GT) for further processing. However, due to the high mobility of a UAV, the power consumption for transmitting data tasks might be very high, especially when the UAV is far away from the GT. To guarantee the energy-efficiency of the UAV, the collected data tasks can be preprocessed to reduce the amount of data transmitted, which can potentially save the power consumption of the UAV. In this article, a random walk model is implemented to capture the mobility of the UAV. Our design goal is to minimize the average power consumption of the UAV under the delay constraint. We adopt the probabilistic scheduling based on the Markov Decision Process (MDP) framework to schedule the transmission and computation of the data tasks in the UAV. The power-optimal scheduling policy can be obtained by converting the joint optimization problem to linear programming (LP), and thus the optimal power-delay tradeoff can be achieved. Finally, the optimization results are validated with extensive simulations.

The development of highly efficient transition metal-based catalysts for overall water splitting is of extreme significance for promoting large-scale sustainable utilization of hydrogen energy and energy conversion. Herein, we report a novel 3D Ni3S2/Cu-NiCo LDH heterostructure nanosheet arrays grown on nickel foam as a promising bifunctional electrocatalyst for OER and HER. In this design, copper ions are firstly doped into NiCo LDH to tune the electronic structure and enhance the inherent activity of pristine LDH. Metallic Ni3S2 is then introduced to establish a coupling heterostructure interface with Cu-NiCo LDH to boost the conductivity and activity. The incorporation of Cu ions and Ni3S2 into NiCo LDH also creates more active sites through crystal structure disorder and interface defects. Moreover, the 3D hierarchical nanosheet arrays can accelerate the electrolyte diffusion, promote the rapid release of gas bubbles, and ensure fast electron/mass transport along with strong electrochemical stability. All these merits endow the materials with a superior overall water splitting ability in alkaline environment, showing the low overpotentials of 119 and 218 mV for OER and overpotentials of 156 and 304 mV for HER at 10 and 100 mA cm-2, respectively. Furthermore, the overall water electrolytic cell using Ni3S2/Cu-NiCo LDH as both electrodes can reach 100 mA cm-2 at 1.75 V with outstanding durability. This study provides new strategy and insights for the exploration of high activity non-noble metal catalysts for overall water splitting.

Reproductive traits have a high economic value in goat breeding, and increasing the number of lambs produced by ewes is of great importance to improve the production efficiency of goat farming. Lambing traits in goats are low heritability traits, but their genetic basis is ultimately determined by genes. This study aimed to investigate the relationship between

Liaoning cashmere goat (LCG) have tall bones, high cashmere production and outstanding meat production performance. In recent years, good breeding progress has not been made in terms of body size, meat yield, milk yield and other properties in terms of production. The study focused on the correlation between the SNPs of

Lung adenocarcinoma (LUAD) causes high morbidity and mortality; therefore, early diagnosis is essential. In recent years, rapid increases in high-throughput sequencing technologies’ efficiency and the continuous improvement of comprehensive online databases have facilitated the study of the genomic changes that affect tumor progression and the identification of tumor biomarkers; Therefore, we hope to find out the genes that may affect the progression and prognosis of LUAD. In this study, we used CIBERSORT and Estimate computing methods to analyzed data from The Cancer Genome Atlas, including the analysis of the proportion of tumor-infiltrating immune cells (TIC) in the tumor microenvironment (TME), cox regression analysis of differentially expressed genes, and cross analysis of protein interaction networks (PPI). We found that Cytochrome b-245 beta chain (CYBB), an indispensable gene in the immune system, also plays a vital role in lung cancer pathogenesis. Meanwhile, Western blotting, qRT-PCR and IHC were used to verify the down-regulation of CYBB expression in LUAD patients. Reduced CYBB expression occurs in patients with lung cancer, indicating that it may be a valuable biomarker and facilitate early diagnosis.

Two-dimensional Dirac materials with a flat band have been demonstrated to possess a plethora of unusual electronic properties, but the optical properties of these materials are less studied. Utilizing $\alpha$-$\mathcal{T}_3$ lattice as a prototypical system, where $0\le \alpha \le 1$ is a tunable parameter and a flat band through the conic intersection of two Dirac cones arises for $\alpha > 0$, we investigate the conductivity of flat-band Dirac material systems analytically and numerically. Motivated by the fact that the imaginary part of the optical conductivity can have significant effects on the optical response and is an important factor of consideration for developing $\alpha$-$\mathcal{T}_3$ lattice based optical devices, we are led to derive a complete conductivity formula with both the real and imaginary parts. Scrutinizing the formula, we uncover two phenomena. First, for the value of $\alpha$ in some range, two types of optical transitions coexist: one between the two Dirac cones and another from the flat band to a cone, which generate multi-frequency transverse electrical propagating waves. Second, for $\alpha=1$ so the quasiparticles become pseudospin-1, the flat-to-cone transition can result in resonant scattering. These results pave the way to exploiting $\alpha$-$T_3$ lattice for optical device applications in the terahertz frequency domain., Comment: 19 pages, 8 figures

The variations of volatile organic compounds (VOCs) and microbial communities of three pickles during storage at 4°C for one week were analyzed by headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS), high-throughput sequencing, and Spearman correlation analysis. A total of 50 VOCs were identified from three pickles. During storage, most alcohols, aldehydes, ketones, and esters decreased, while acids increased, and sulfides, alkenes, and phenols were relatively equal. Firmicutes, Cyanobacteria, and Proteobacteria were the predominant bacterial phyla, and Weissella, Streptophyta, Leuconostoc, Bacillariophyta, and Lactobacillus were the predominant bacterial genera in three pickles. The bacterial diversity level significantly decreased during storage (P 0.05). Spearman correlation coefficient indicated that Leuconostoc, Lactobacillus, and Weissella were highly correlated with the flavor of pickles, while Bacillariophyta and Streptophyta were highly correlated with the flavor formation of pickles during storage. These results could contribute to a better understanding of the impact of bacteria in flavor formation during pickle storage.

The introduction of a dual-functional interlayer into lithium-sulfur batteries (LSBs) provides many opportunities for restraining the "shuttle effect" and enhancing sluggish sulfur conversion kinetics. Tuning the band structure of the metal sulfide provides an opportunity to enhance its catalytic activity, which plays an important role in suppressing the "shuttle effect" of lithium polysulfides (LiPSs) in LSBs. Here were present a Co9S8@MoS2 core-shell heterostructure anchored to a carbon nanofiber (Co9S8@MoS2/CNF), developed as an interlayer for suppressing the shuttle effect of LiPSs. The fabricated composite heterostructure is determined to be an effective alternative material that combines the synergistic relationship between chemisorption and electrochemical catalysis. We find that the band structure of the MoS2 shell can be effectively tuned by the Co9S8 core and that the Co9S8@MoS2/CNF can capture the LiPSs, providing excellent catalytic ability to convert LiPSs into Li2S2, with subsequent transformation from Li2S2 to Li2S. Importantly, high capacities of 1002 and 986 mAh g-1 can be retained after 50 cycles with high-sulfur loadings of 6 and 10 mg cm-2. Our results highlight the design of an atomic-scale heterostructure as a multifunctional interlayer providing a synergistic relationship between adsorption and catalysis. The net result is an effective retardation of the shuttling of LiPSs and an enhancement of the electrochemical redox reactions of LiPSs. This work shows great promise toward the development of practical applications of LSBs.

Ultra-reliable and Low-latency Communication (URLLC) has the potential to support data traffic transmission in factory automation, telesurgery, and automatic driving, where the differential quality of service (QoS) requirements in different types of traffic should be considered. In this letter, a differential QoS oriented URLLC policy is investigated for achieving high energy-efficiency under the given delay tolerance. To characterize the system state, a queueing model under First-In-First-Out (FIFO) service discipline is implemented. Based on this model, a cross-layer approach is developed to analyze the average transmission power and delay by formulating the system state into a Markov chain. For solving the problem more efficiently, the states of similar behavior in the Markov chain are aggregated, based on which the approximate solution can be obtained with low complexity. Numerical results verified the theoretical analysis and good performance of the proposed approach.

Body phosphorus homeostasis network allows laying hens to adapt to wide range of changes in dietary phosphorus levels. Phytase hydrolyzes phytate rendering phosphorus and reduces the laying hens' requirements for inorganic phosphate rock. Here, we demonstrate that there is no need to keep large safety margins in dietary phosphorus when hens are fed with phytase. Hy-Line Brown laying hens (n = 504) were randomly assigned to 7 treatments (6 replicates of 12 birds). A corn-soybean meal-based diet, with no inorganic phosphate rock, was formulated to contain 0.12% nonphytate phosphorus (nPP), 3.8% calcium, and 2,000 FTU/kg phytase. Inorganic phosphate rock (di-calcium phosphate) was supplemented into the basal diet to create 6 other diets containing 0.17, 0.22, 0.27, 0.32, 0.37, and 0.42% nPP. Levels of calcium carbonate and zeolite powder were adjusted to make sure all the 7 experimental diets contained the same nutrition levels (including calcium and phytase) except nPP. The diets were subjected to laying hens from 29 to 40 wk of age. As a result, when supplemented with 2,000 FTU/kg phytase, extra supplementation of inorganic phosphate rock had no effects (P > 0.05) on serum phosphorus levels, serum calcium levels, laying performance (laying rate, egg weight, feed intake, feed-to-egg ratio, and unqualified egg rate), egg quality (shell thickness, shell strength, albumen height, yolk color, and Haugh unit), and tibia quality parameters (breaking strength and ash, calcium, and phosphorus contents). Extra supplementation of inorganic phosphate rock linearly increased (P < 0.01) fecal phosphorus excretion and linearly decreased (P = 0.032) the apparent metabolizability of dietary phosphorus. While serum hormones and intestine gene expressions were varied within treatments, no consistent changes were found. In conclusion, the supplementation of inorganic phosphate rock (provided 0.05-0.30% extra nPP) to phytase-containing basal diets (2,000 FTU/kg; nPP = 0.12%) provided limited benefits to egg production performance in laying hens from 29 to 40 wk of age. Further investigating the body phosphorus homeostasis would help to understand the nutritional and physiological reasonability of formulating low-phosphorus diets in the laying hen industry.

Objective: To evaluate the effectiveness and safety of hyperthermia combined with chemotherapy for non-small cell lung cancer (NSCLC). Methods: All of randomized controlled trials (RCT) about hyperthermia in combination with chemotherapy (versus chemotherapy alone) were collected through Cochrane library, PubMed, EMbase, CBM, CNKI, VIP, Wanfang Database from database inception to October 2019, no limit on language. Two researchers extracted data and assess literature quality separately, and made a metaanalysis by RevMan 5.3 software. 32 trials with 2361 patients, 1154 in treatment group and 1152 in control group, wereincluded in the review. Results: The results of the Meta-analysis exhibited that compared with chemotherapy alone, hyperthermia combined with chemotherapy could can enhance tumor response rate [RR=1.48, 95% CI (1.34, 1.63), p

Mobile edge computing (MEC) is a promising technique to improve the quality of computation experience for mobile devices by providing computation resources in their close proximity. However, the design of scheduling policies for MEC systems inevitably encounters a challenging optimization problem that should take both transmissions and computations into consideration. In particular, how to jointly schedule transmissions and computations should adapt to the cross-layer system dynamics, i.e., random task arrivals and channel state variations. We formulate this scheduling problem as a joint optimization problem for both transmissions and computations in order to minimize the power consumption of mobile devices, while meeting the latency requirement. With given distributions of the system dynamics, Markov decision process (MDP) is used to model the system operations. Based on this model, the power-optimal scheduling policy can be obtained by converting the joint optimization problem to linear programming (LP) by using variable substitutions and thus the optimal power-latency tradeoff can be achieved. When the distribution information of the system dynamics is unknown, we exploit the Lyapunov optimization to present a low complexity scheduling policy. Our theoretical analysis and extensive simulation studies show that our approach can offer a good tradeoff between power consumption and latency.

Previously, much attention has been paid to prepare porous magnetic silica micro/nanoparticles, but most of the reported methods are limited by sophisticated procedures and strict synthetic conditi...

Gallium nitride (GaN) high electron mobility transistor (HEMT) has a lateral device structure with wafer-level packaging, which is advantageous in minimizing parasitic parameters and overall device size. This type of packaging also has better thermal performance than conventional packaging due to low junction-to-bottom thermal resistances. It indicates copper layers in printed circuit boards can effectively serve as heat dissipation channels for the switching devices. When these copper traces and pours in the vicinity of the switching devices are carefully designed and shaped, they can also be utilized as an integrated output filter. In this article, a synchronous buck converter with a single-turn air-core integrated planar inductor is proposed to achieve both zero-voltage switching and high thermal performance of the GaN HEMTs. A new planar inductor design flowchart is introduced, and analytically estimated inductance and resistance are verified with simulation and experiment. Three different inductors are designed and fabricated to prove the improved thermal performance of the proposed converters.

The main purpose of this paper is, using the elementary methods and properties of the power series, to study the computational problem of the convolution sums of Chebyshev polynomials and Fibonacci polynomials and to give some new and interesting identities for them.

Objective To identify the blood glucose level at admission on the clinical outcomes of patients hospitalized with community-acquired pneumonia (CAP). Methods This was a multicenter retrospective study. Data on patients with CAP in four hospitals from Beijing, Shandong and Yunnan Province during January 1, 2014 through December 31, 2015 were reviewed, including demographic, clinical and radiologic characteristics and outcomes. Cox regression model was performed to evaluate the impact of the blood glucose level on ICU admission rate and 30-day mortality of CAP patients. Results Overall, 3366 CAP patients were entered into the final analysis. Diabetic patients (DM-CAP) accounted for 15.8% (531/3366). A Cox multivariable regression model (adjusted for sex, age, comorbidities and CURB-65 score) confirmed diabetes mellitus was associated with increased risk for 30-day mortality of CAP patients (HR=1.109, 95% CI 1.084-2.796, P

Developing a big data analytics framework for generating the Long-term Gap-free High-resolution Air Pollutant concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and Earth system science analysis. By synergistically integrating multimodal aerosol data acquired from diverse sources via a tensor-flow-based data fusion method, a gap-free aerosol optical depth (AOD) dataset with a daily 1 km resolution covering the period of 2000–2020 in China was generated. Specifically, data gaps in daily AOD imageries from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard Terra were reconstructed based on a set of AOD data tensors acquired from diverse satellites, numerical analysis, and in situ air quality measurements via integrative efforts of spatial pattern recognition for high-dimensional gridded image analysis and knowledge transfer in statistical data mining. To our knowledge, this is the first long-term gap-free high-resolution AOD dataset in China, from which spatially contiguous PM2.5 and PM10 concentrations were then estimated using an ensemble learning approach. Ground validation results indicate that the LGHAP AOD data are in good agreement with in situ AOD observations from the Aerosol Robotic Network (AERONET), with an R of 0.91 and RMSE equaling 0.21. Meanwhile, PM2.5 and PM10 estimations also agreed well with ground measurements, with R values of 0.95 and 0.94 and RMSEs of 12.03 and 19.56 µg m−3, respectively. The LGHAP provides a suite of long-term gap-free gridded maps with a high resolution to better examine aerosol changes in China over the past 2 decades, from which three major variation periods of haze pollution in China were revealed. Additionally, the proportion of the population exposed to unhealthy PM2.5 increased from 50.60 % in 2000 to 63.81 % in 2014 across China, which was then reduced drastically to 34.03 % in 2020. Overall, the generated LGHAP dataset has great potential to trigger multidisciplinary applications in Earth observations, climate change, public health, ecosystem assessment, and environmental management. The daily resolution AOD, PM2.5, and PM10 datasets are publicly available at https://doi.org/10.5281/zenodo.5652257 (Bai et al., 2021a), https://doi.org/10.5281/zenodo.5652265 (Bai et al., 2021b), and https://doi.org/10.5281/zenodo.5652263 (Bai et al., 2021c), respectively. Monthly and annual datasets can be acquired from https://doi.org/10.5281/zenodo.5655797 (Bai et al., 2021d) and https://doi.org/10.5281/zenodo.5655807 (Bai et al., 2021e), respectively. Python, MATLAB, R, and IDL codes are also provided to help users read and visualize these data.

While radiative cooling has been proven successful in mid-latitude regions to achieve sub-ambient temperatures, the same performance could not be achieved in tropical regions due mainly to the higher solar irradiance and atmospheric radiation. Herein, for the first time, the criteria to achieve sub-ambient temperatures in the challenging conditions of tropical daytime is recommended based on the solar reflectance and infrared emittance of an effective broadband radiative cooler. Briefly, the total solar reflectance of the material should be above 97% with an infrared emittance of over 80% to achieve sub-ambient temperatures. To illustrate, the feasibility of daytime radiative cooling under Singapore's tropical climate is investigated using a radiative cooler that meets these criteria. By having a solar reflectance of 98.4% and infrared emittance of 95% within the 8–13 μm spectrum, sustained daytime sub-ambient temperature of 2 °C can be achieved under direct exposure to solar intensity of 1000 W/m2 and downwelling atmospheric radiation of 450 W/m2. The simulated cooling power limit was around 35 W/m2, with the potential to provide over 30 MJ/m2 of cooling energy per month. Ministry of Education (MOE) Submitted/Accepted version This study was funded by the Singapore Ministry of Education through grant no. 2018-T1-001-070 and Mitsubishi Corporation.

Reproductive traits have a high economic value in goat breeding, and increasing the number of lambs produced by ewes is of great importance to improve the production efficiency of goat farming. Lambing traits in goats are low heritability traits, but their genetic basis is ultimately determined by genes. This study aimed to investigate the relationship between INHA, RARG, and PGR gene polymorphisms and production performance, such as lambing, cashmere production, milk production, and body size in Liaoning cashmere goats. A total of six single nucleotide polymorphisms (SNPs) loci were identified in these three genes, G144A and T504C on the INHA gene, A56G, G144A, G490C on the RARG gene, and G109519T on the PGR gene. For lambing and cashmere production traits, the AA genotype of G144A on the INHA gene, TT on the T504C genotype, GG genotype of G144A on the INHA gene, A56G, G144A, and T504C on RARG and G109519T on PGR gene are dominant genotypes. AATT is a dominant haplotype combination. Allele G can be used as a molecular marker for lambing, cashmere, and milk production traits in Liaoning cashmere goats. Marker-assisted selection can be used for early selection to achieve improvement of genetic traits in Liaoning cashmere goats.

Background To ascertain if concurrent chemotherapy (CCT) benefits people with stage II nasopharyngeal carcinoma (NPC) treated with two‐dimensional radiotherapy (2DRT) or intensity‐modulated radiotherapy (IMRT). Methods A total of 4157 patients diagnosed with stage II NPC were evaluated. Patients received radiotherapy (RT) with/without CCT. Patients were divided into 2DRT and IMRT subgroups. After propensity score matching, the role of CCT was explored in these two subgroups. Overall survival (OS) was the primary endpoint and progression‐free survival (PFS), locoregional relapse‐free survival (LRFS) and distant metastasis‐free survival (DMFS) were secondary endpoints. Results In the 2DRT subgroup, CCT addition to RT benefited cases with T1N1/T2N1 in OS, PFS and LRFS (P, In this study, we explored if concurrent chemotherapy (CCT) benefits people with stage II nasopharyngeal carcinoma (NPC) treated with two‐dimensional radiotherapy (2DRT) or intensity‐modulated radiotherapy (IMRT).

Purpose We combined conventional clinical and pathological characteristics and pathological architectural grading scores to develop a prognostic model to identify a specific group of patients with stage I lung adenocarcinomas with poor survival following surgery. Methods This retrospective study included 198 patients with stage I lung adenocarcinomas recruited from 2004 to 2013. Multivariate analyses were used to confirm independent risk factors, which were checked for internal validity using the bootstrapping method. The prognostic scores, derived from β-coefficients using the Cox regression model, classified patients into high- and low-risk groups. The predictive performance and discriminative ability of the model were assessed by the area under the receiver operating characteristic curve (AUC), concordance index (C-index) and Kaplan–Meier survival analyses. Results Three risk factors were identified: T2 (rounding of β-coefficients = 81), necrosis (rounding of β-coefficients = 67), and pathological architectural score of 5–6 (rounding of β-coefficients = 58). The final prognostic score was the sum of points. The derived prognostic scores stratified patients into low- (score ≤ 103) and high- (score > 103) risk groups, with significant differences in 5-year overall survival (high vs. low risk: 49.3% vs. 88.0%, respectively; hazard ratio: 4.55; p Conclusion An integrated prognostic model was developed to discriminate resected stage I adenocarcinoma patients into low- and high-risk groups, which will help clinicians select individual treatment strategies.

The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a public health emergency of international concern, and an effective vaccine is urgently needed to control the pandemic. Envelope (E) and membrane (M) proteins are highly conserved structural proteins among SARS-CoV-2 and SARS-CoV and have been proposed as potential targets for the development of cross-protective vaccines. Here, synthetic DNA vaccines encoding SARS-CoV-2 E/M proteins (called p-SARS-CoV-2-E/M) were developed, and mice were immunised with three doses via intramuscular injection and electroporation. Significant cellular immune responses were elicited, whereas no robust humoral immunity was detected. In addition, novel H-2d-restricted T-cell epitopes were identified. Notably, although no drop in lung tissue virus titre was detected in DNA-vaccinated mice post-challenge with SARS-CoV-2, immunisation with either p-SARS-CoV-2-E or p-SARS-CoV-2-M provided minor protection and co-immunisation with p-SARS-CoV-2-E+M increased protection. Therefore, E/M proteins should be considered as vaccine candidates as they may be valuable in the optimisation of vaccination strategies against COVID-19.

Icotinib could have potential effect and tolerability when used sequentially with chemotherapy for advanced epidermal growth factor receptor (To evaluate the efficacy and safety of chemotherapy followed by icotinib maintenance therapy as first-line treatment for advancedThis multicenter, open-label, pilot randomized controlled trial enrolled 68The median progression-free survival in the icotinib alone and chemotherapy + icotinib groups was 8.0 mo (95%CI: 3.84-11.63) and 13.4 mo (95%CI: 10.18-16.33), respectively (A sequential combination of chemotherapy and EGFR-tyrosine kinase inhibitor is feasible for stage IV

By using the properties of trigonometric sums and the estimates of $n$-dimensional Kloosterman sums, we study the high-dimensional D. H. Lehmer problem over incomplete intervals. First we generalize the previous results in [11] by presenting some sharp asymptotic formulae. Then with the aid of a more elementary method, we improve the error terms in a straight-forward manner.

Therapy resistance associated with relapse is a main cause of death in acute myeloid leukemia (AML). To address this issue, a dual-targeting CRISPR-Cas9 genome editing nanosystem was constructed for CXCR4 knockout to reverse the malignancy of leukemia cells. The surface of the dual-targeting nanosystem is composed of MUC1 specific aptamer incorporated alginate (MUC1 aptamer-alginate) and T22-NLS peptide with T22 sequence targeting CXCR4; the core of the nanosystem consists of protamine complexed with CRISPR-Cas9 plasmid. The in vitro study shows that the nanosystem mediated genome editing induces cell apoptosis, cell cycle arrest, as well as inhibited cell migration and adhesion in edited THP-1 cells after CXCR4 knockout. Further, the unprocessed peripheral blood from acute myeloid leukemia (AML) patients was directly used to carry out ex vivo study. The results show the genome editing nanosystem can effectively knock out CXCR4 in leukemia cells, leading to attenuated CXCR4 protein as studied by antibody labeling and reduced CXCR4 mRNA as probed by a molecular beacon delivery system. In addition to developing a promising delivery vector for gene therapy on AML, this study also provides an effective strategy to evaluate the therapeutic efficiency of particular treatments by peripheral blood-based ex vivo studies.

Developing a big data analytics framework for generating a Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. By synergistically integrating multimodal aerosol data acquired from diverse sources via a tensor flow based data fusion method, a gap-free aerosol optical depth (AOD) dataset with daily 1-km resolution covering the period of 2000–2020 in China was generated. Specifically, data gaps in daily AOD imageries from MODIS aboard Terra were reconstructed based on a set of AOD data tensors acquired from satellites, numerical analysis, and in situ air quality data via integrative efforts of spatial pattern recognition for high dimensional gridded image analysis and knowledge transfer in statistical data mining. To our knowledge, this is the first long-term gap-free high resolution AOD dataset in China, from which spatially contiguous PM2.5 and PM10 concentrations were estimated using an ensemble learning approach. Ground validation results indicate that the LGHAP AOD data are in a good agreement with in situ AOD observations from AERONET, with R of 0.91 and RMSE equaling to 0.21. Meanwhile, PM2.5 and PM10 estimations also agreed well with ground measurements, with R of 0.95 and 0.94 and RMSE of 12.03 and 19.56 μg m−3, respectively. Overall, the LGHAP provides a suite of long-term gap free gridded maps with high-resolution to better examine aerosol changes in China over the past two decades, from which three distinct variation periods of haze pollution were revealed in China. Additionally, the proportion of population exposed to unhealthy PM2.5 was increased from 50.60 % in 2000 to 63.81 % in 2014 across China, which was then drastically reduced to 34.03 % in 2020. Overall, the generated LGHAP aerosol dataset has a great potential to trigger multidisciplinary applications in earth observations, climate change, public health, ecosystem assessment, and environmental management. The daily resolution AOD, PM2.5, and PM10 datasets can be publicly accessed at https://doi.org/10.5281/zenodo.5652257 (Bai et al., 2021a), https://doi.org/10.5281/zenodo.5652265 (Bai et al., 2021b), and https://doi.org/10.5281/zenodo.5652263 (Bai et al., 2021c), respectively. Meanwhile, monthly and annual mean datasets can be found at https://doi.org/10.5281/zenodo.5655797 (Bai et al., 2021d) and https://doi.org/10.5281/zenodo.5655807 (Bai et al., 2021e), respectively. Python, Matlab, R, and IDL codes were also provided to help users read and visualize these data.

The exploration for low-cost bifunctional materials for highly efficient overall water splitting has drawn profound research attention. Here, we present a facile preparation of Mo-P dual-doped Co/oxygen-deficient Co

Cashmere fineness is getting thicker, which is one of the key problems in cashmere breeding, however, there have been no systematic studies on the molecular regulation of cashmere fineness. The aim of this study was to investigate the relationship between

Objectives. This study aimed to compare performances of China reference and different national references on high blood pressure (HBP). Methods. A cross-sectional study including 695,302 children and adolescents aged 7 to 17 years in Suzhou, China, was conducted to determine the prevalence of HBP based on U.S., international, Europe, and China references in 2016. Results. Different percentiles of height and blood pressure were found among four references. Referring to U.S. reference, the prevalence of HBP was the highest with 26.0%, followed by International reference with 20.0%, Europe reference with 19.5%, and China reference with 19.2%. McNemar tests indicated statistically significant differences between HBP prevalence comparing China reference with the other 3 references ( P < 0.001 ). The area under the curve was 0.947, 0.851, and 0.949 for U.S., international, and Europe reference, respectively. U.S. reference showed the highest sensitivity (98.2%), but the lowest specificity (91.2%), and Europe reference showed the highest kappa value (0.893). Conclusions. The prevalence of HBP varied among these four references, and the appropriate choice of reference would be important to recognize high-risk children and judge the trends of HBP prevalence in the targeted population.

Manual visual inspection for thermistor wire solder joints used in satellite circuits always results in inefficiency and low accuracy. A method based on improved YOLOv5s model is proposed to automatically inspect defections in thermistor wire solder joints through infrared images. In order to enhance feature extraction capability, ECA module is introduced to the backbone of YOLOv5s network. Image database is built through infrared image shooting platform for model training and testing. The experiment result indicates that precision, recall and mAP of improved model reach 64.1%, 92.0% and 88.4% respectively, which are all superior to original model. This work paves the way for automatically defect detection of thermistor wire solder joints based on infrared thermography.

The monitoring of deferasirox (DEF) has important clinical roles in patients who need iron excretion. However, analytical methods with practicability and simplicity are limited. Moreover, ratiometric fluorescence strategies based on Förster resonance energy transfer (FRET) from carbon dots (CDs) as a donor are rarely reported as a drug monitor. In this work, CDs with an appropriate emitting wavelength at 480 nm and excitation around 370 nm were prepared by hydrothermal approach and HCl post-treatment. O-Phenylenediamine (OPD) can be oxidized by Cu