Closely connected to human carbon emissions, global climate change is affecting regional economic and social development, natural ecological environment, food security, water supply, and many other ...social aspects. In a word, climate change has become a vital issue of general concern in the current society. In this study, the carbon emission data of Chinese provinces in 1999-2019 are collected and analyzed, so as to identify the carbon emission of direct consumption per 10,000 residents in each province (including each municipal city and autonomous region) and the entire nation based on population data. The Arc Geographic Information Science Engine (ArcGIS Engine) and C#.NET platform are employed to call the MATLAB neural network toolbox. A model is selected and embedded in the prediction system to develop the entire system. This study demonstrates that the carbon emissions per resident in Northern China are significantly higher than those in Southern China, with the rate of carbon emissions continuing to increase over time. Compared with other models, the Elman neural network has a higher carbon emission prediction accuracy, but with more minor errors. For instance, its accuracy and prediction performance are improved by 55.93% and 19.48%, respectively, compared with the Backpropagation Neural Network (BPNN). The prediction results show that China is expected to reach its peak carbon emission in around 2025-2030. The above results are acquired based on the concept of carbon emissions and neural network model theories, supported by GIS component technology and intelligent methods. The feasibility of BPNN, Radial Basis Function (RBF) and Elman neural network models for predicting residential carbon emissions is analyzed. This study also designs a comprehensive, integrated and extensible visual intelligent platform, which is easy to implement and stable in operation. The trend and characteristics of carbon emission changes from 2027 to 2032 are explored and predicted based on the data about direct carbon emissions of Chinese provincial residents from 1999 to 2019, purposed to provide a scientific basis for the control and planning of carbon emissions.
Catalytic alkene difunctionalization via Si−H and C−H activations represents an ideal atom‐ and step‐economic pathway for quick assembly of molecular complexity. We herein developed a ...visible‐light‐promoted metal‐free difunctionalization of alkenes using abundant CO2 and readily available Si−H and C(sp3)−H bonds as feedstocks. Through the merger of photoredox and hydrogen‐atom‐transfer catalysis, a variety of value‐added compounds, such as β‐silacarboxylic acids and acids bearing a γ‐heteroatom (e.g., N, O, S) could be directly accessed from simple alkenes in a redox‐neutral fashion.
Photocarboxylation: Visible‐light‐promoted metal‐free difunctionalization of alkenes using CO2 and readily available Si−H and C(sp3)−H reagents has been realized by the merging of photoredox and hydrogen‐atom‐transfer catalysis. A variety of valuable compounds, such as β‐silacarboxylic acids and acids bearing a γ‐heteroatom (e.g., N, O, S) can be directly accessed from simple alkenes in a redox‐neutral fashion.
Introduction
The coronavirus disease (COVID‐19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), which play important roles in regulating gene expression and are also ...considered as essential modulators during viral infection. The aim of this study was to elucidate the differential expression of miRNAs in COVID‐19.
Methods
The total RNA was extracted and purified from the peripheral blood of ten patients with COVID‐19 and four healthy donors. The expression levels of various miRNAs were detected by high‐throughput sequencing, and correlation analysis was performed on the target genes that are primed by miRNAs.
Key findings
Compared with the healthy controls, 35 miRNAs were upregulated and 38 miRNAs were downregulated in the human patients with COVID‐19. The top 10 genes were listed below: hsa‐miR‐16‐2‐3P,hsa‐miR‐5695,hsa‐miR‐10399‐3P,hsa‐miR‐6501‐5P,hsa‐miR‐361‐3P,hsa‐miR‐361‐3p, hsa‐miR‐4659a‐3p, hsa‐miR‐142‐5p, hsa‐miR‐4685‐3p, hsa‐miR‐454‐5p, and hsa‐miR‐30c‐5p. The 10 genes with the greatest reduction were listed below: hsa‐miR‐183‐5p, hsa‐miR‐627‐5p, hsa‐miR‐941, hsa‐miR‐21‐5p, hsa‐miR‐20a‐5p, hsa‐miR‐146b‐5p, hsa‐miR‐454‐3p, hsa‐miR‐18a‐5p, hsa‐miR‐340‐5p, and hsa‐miR‐17‐5p. Remarkably, miR‐16‐2‐3p was the most upregulated miRNA, with a 1.6‐fold change compared to that of the controls. Moreover, the expression of miR‐6501‐5p and miR‐618 was 1.5‐fold higher in the COVID‐19 patients than in the healthy donors. Meanwhile, miR‐627‐5p was the most downregulated miRNA, with a 2.3‐fold change compared to that of the controls. The expression of other miRNAs (miR‐183‐5p, miR‐627‐5p, and miR‐144‐3p) was reduced by more than 1.3‐fold compared to that of the healthy donors. Cluster analysis revealed that all of the differentially expressed miRNA target genes were clustered by their regulation of cellular components, molecular functions, and biological processes. Importantly, peptidases, protein kinases, and the ubiquitin system were shown to be the highest enrichment categories by enrichment analysis.
Conclusions
The differential miRNA expression found in COVID‐19 patients may regulate the immune responses and viral replication during viral infection.
Extract periperal blood cells from COVID‐19 patients, and micRNAs were detected by high‐throughput sequencing using illumina HiseqX Ten machine to fint the differential expression of miRNAs in COVID‐19.
Surface plasmonic sensors have been widely used in biology, chemistry, and environment monitoring. These sensors exhibit extraordinary sensitivity based on surface plasmon resonance (SPR) or ...localized surface plasmon resonance (LSPR) effects, and they have found commercial applications. In this review, we present recent progress in the field of surface plasmonic sensors, mainly in the configurations of planar metastructures and optical-fiber waveguides. In the metastructure platform, the optical sensors based on LSPR, hyperbolic dispersion, Fano resonance, and two-dimensional (2D) materials integration are introduced. The optical-fiber sensors integrated with LSPR/SPR structures and 2D materials are summarized. We also introduce the recent advances in quantum plasmonic sensing beyond the classical shot noise limit. The challenges and opportunities in this field are discussed.
Optical microfibers (MF), as a connection between fiber optics and nanotechnology, can realize enhanced light-matter/environment interactions, which benefit for optical sensing applications. In this ...paper, we introduce the fundamental working mechanisms of MF-based optical sensors and review their recent progress and status. We also discuss the challenges and opportunities of the MF sensors and provide some clues for future work.
Abstract
We propose a scheme for realizing exact parity-time (
P
T
) antisymmetry of complex susceptibility in a wide range of probe detuning by considering a one-dimensional lattice of cold atoms ...driven into the simplest three-level Λ configuration. This is attained by modulating the intensity of a standing-wave coupling field with a proper phase shift to counteract the product of a single-photon detuning and a two-photon detuning. Such a dynamically controlled
P
T
-antisymmetric lattice supports the integration of a few nontrivial scattering behaviors including unidirectional light reflectionless, asymmetric perfect absorption, and directional signal quenching. These behaviors, depending in particular on atomic densities and lattice lengths, facilitate the on-demand realization of unidirectional or bidirectional photon transport blockade.
Molecularly imprinted polymers (MIPs)-based electrochemical biosensors (ECBSs) have many advantages from MIPs and ECBSs, such as high selectivity and sensitivity, chemical/mechanical stability, ...reusability, low limit of detection, facile preparation and low cost. MIPs-based ECBSs attract much attention in medical diagnose, biological analysis, environmental monitoring, food safety evaluation, etc. Due to the capacity of highly specific recognition for target biomolecules, MIPs-based ECBSs have been smartly designed and extensively used for electrochemical sensing applications in recent years, exhibiting obvious superiority over other analytical techniques. In this review, firstly we systematically summarize the recent advances of MIPs-based ECBSs reported in recent years, referring to the preparation, structures and components of sensing systems. Secondly, we highlight the sensing applications for various significant biomolecules (proteins, antibiotics, pesticide, neurotransmitter, hormone, etc.), and demonstrate the sensing mechanism and detection performance. Finally, the rational summaries, present challenges and future prospects in the field of MIPs-based ECBSs have been discussed reasonably.
•This review paper systematically summarizes the recent advances of MIPs-based ECBSs.•The sensing applications of MIPs-based ECBSs for various important biomolecules are addressed.•The present challenges and further prospects of MIPs-based ECBSs are also highlighted.
Optimizing advertising budget allocation in the luxury fashion industry is an important problem. In this study, motivated by real‐world practices, we consider a luxury fashion firm serving a ...conspicuous market consisting of two groups of consumers who influence one another. We investigate the optimal customer portfolios and budget allocation problem using the mean‐variance (MV) framework. Under the basic model in which all budget must be spent, we identify different scenarios and propose an algorithm to construct the MV efficient frontier for each scenario. Interestingly, different from the classic investment portfolio problem, we reveal that: (i) not all budget allocations between the two groups of consumers are MV efficient, which means that the efficient frontier is not continuous; (ii) in the presence of social influence, diversification of customer portfolio does not always lead to a smaller variance, which counterintuitively means that focusing on a single consumer group can reduce risk. We also prove that to maximize expected profit, the optimal strategy is to allocate all advertising budget to one group of consumers only (i.e., a polarized strategy). We illustrate analytically, the importance of identifying the right scenario for budget planning. Finally, we examine the budget saving strategy in the extended model and uncover that the respective range of efficient solutions is smaller than the one under the all budget spending strategy. This shows that the budget saving strategy offers less flexibility for MV efficient budget allocation than the all budget spending strategy.
Coal is the single most important fuel for power generation today. Nowadays, most coal is consumed by means of “burning coal in air” and pollutants such as NOx, SOx, CO2, PM2.5 etc. are inevitably ...formed and mixed with excessive amount of inner gases, so the pollutant emission reduction system is complicated and the cost is high. IGCC is promising because coal is gasified before utilization. However, the coal gasifier mostly operates in gas environments, so special equipments are needed for the purification of the raw gas and CO2 emission reduction. Coal and supercritical water gasification process is another promising way to convert coal efficiently and cleanly to H2 and pure CO2. The gasification process is referred to as “boiling coal in water” and pollutants containing S and N deposit as solid residual and can be discharged from the gasifier. A novel thermodynamics cycle power generation system was proposed by us in State Key Laboratory of Multiphase Flow in Power Engineering (SKLMFPE) of Xi'an jiaotong University (XJTU), which is based on coal and supercritical water gasification and multi-staged steam turbine reheated by hydrogen combustion. It is characterized by its high coal-electricity efficiency, zero net CO2 emission and no pollutants. A series of experimental devices from quartz tube system to a pilot scale have been established to realize the complete gasification of coal in SKLMFPE. It proved the prospects of coal and supercritical water gasification process and the novel thermodynamics cycle power generation system.
•A novel thermodynamics cycle power generation system is proposed.•The novel cycle is based on coal and supercritical water gasification.•The novel cycle has multi-staged steam turbine reheated by hydrogen combustion.•The novel cycle has high coal-electricity efficiency and no pollutants.•Developments of coal and supercritical water gasification in SKLMFPE are reviewed.
The aim of this study was to investigate the differences in main characteristics, reporting and methodological quality between prospectively registered and nonregistered systematic reviews.
PubMed ...was searched to identify systematic reviews of randomized controlled trials published in 2015 in English. After title and abstract screening, potentially relevant reviews were divided into three groups: registered non-Cochrane reviews, Cochrane reviews, and nonregistered reviews. For each group, random number tables were generated in Microsoft Excel, and the first 50 eligible studies from each group were randomly selected. Data of interest from systematic reviews were extracted. Regression analyses were conducted to explore the association between total Revised Assessment of Multiple Systematic Review (R-AMSTAR) or Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) scores and the selected characteristics of systematic reviews.
The conducting and reporting of literature search in registered reviews were superior to nonregistered reviews. Differences in 9 of the 11 R-AMSTAR items were statistically significant between registered and nonregistered reviews. The total R-AMSTAR score of registered reviews was higher than nonregistered reviews mean difference (MD) = 4.82, 95% confidence interval (CI): 3.70, 5.94. Sensitivity analysis by excluding the registration-related item presented similar result (MD = 4.34, 95% CI: 3.28, 5.40). Total PRISMA scores of registered reviews were significantly higher than nonregistered reviews (all reviews: MD = 1.47, 95% CI: 0.64-2.30; non-Cochrane reviews: MD = 1.49, 95% CI: 0.56-2.42). However, the difference in the total PRISMA score was no longer statistically significant after excluding the item related to registration (item 5). Regression analyses showed similar results.
Prospective registration may at least indirectly improve the overall methodological quality of systematic reviews, although its impact on the overall reporting quality was not significant.
PDF
