•Symptoms of stress, anxiety and depression are prevalent among health care workers in China during COVID-19 epidemic. And the stress level of health care workers is higher than that during ...SARS.•Protective measures, job title and contact history are the main factors affecting anxiety and depression.•Job titles of health care workers affect the psychological health during COVID-19 through contact history.
Since the outbreak of 2019 new coronavirus (COVID-19) pneumonia, healthcare workers (HCW) have suffered psychological stress. The present study is to examine the prevalence of stress, anxiety and depression of HCW in China during the COVID-19 epidemic, and to determine the risk factors predicting psychological morbidities that can be used as psychological intervention targets.
A cross-sectional survey was conducted to investigate the psychological levels of HCW in multiple centers in China. The prevalence of stress, anxiety and depression were determined by using Perceived Stress Scale (PSS-14) and Hospital Anxiety / Depression scale (HAD). Psychology related factors were evaluated and correlation between job title and contact history was analyzed.
We received 958 of effective responses, 73.6% of which were from Wuhan and 67.2% were female participants. 55.1% of respondents had psychological stress that is higher than that of HCW during SARS. 54.2% and 58% of participants had symptoms of anxiety and depression. Stress levels of HCW were different in job titles and years of work experience. Anxiety and depression levels were different between different gender, job titles, degrees of protective measures and levels of contact history. Gender, intermediate title, protective measures and contact history were the independent risk factors for anxiety. Protective measures and contact history were the independent risk factors for depression.
The COVID-19 epidemic has induced stress levels for HCW, and high percentages of HCW have anxiety and depression. The situation of HCW is worrying and intervention service is urgent.
Rice stripe disease caused by
Rice stripe virus
(RSV) is one of the most devastating plant viruses of rice and causes enormous losses in production. RSV is transmitted from plant to plant by the ...small brown planthopper (
Laodelphax striatellus
) in a circulative-propagative manner. The recent reemergence of this pathogen in East Asia since 2000 has made RSV one of the most studied plant viruses over the past two decades. Extensive studies of RSV have resulted in substantial advances regarding fundamental aspects of the virus infection. Here, we compile and analyze recent information on RSV with a special emphasis on the strategies that RSV has adopted to establish infections. These advances include RSV replication and movement in host plants and the small brown planthopper vector, innate immunity defenses against RSV infection, epidemiology, and recent advances in the management of rice stripe disease. Understanding these issues will facilitate the design of novel antiviral therapies for management and contribute to a more detailed understanding of negative-sense virus-host interactions at the molecular level.
With the acceleration of China's economic integration process, enterprises have gained greater advantages in the fierce market competition, and gradually formed the trend of grouping and large-scale. ...However, as the scale of the company increases, the establishment of a branch also causes many problems. For example, in order to obtain more benefits, the business performance of the company can generate false growth, resulting in financial and operational risks. This paper analyzed the current situation and needs of enterprise financial control from two aspects of theory and practice, combined with specific engineering projects, taking ZH Group as an example, according to the actual situation of the enterprise. The article first introduces the basic situation of the enterprise; Then, the financial control strategy was designed, and different modules were designed to achieve financial control; Afterwards, use a reverse neural network to evaluate the effectiveness of financial management and risk warning; Relying on particle swarm optimization algorithm to seek the optimal solution and applying it to financial management and risk warning, in order to improve the level of introspection and risk management in decision-making. Finally, the value of computer intelligence algorithms in financial big data management is evaluated by constructing a financial risk indicator system. Through the analysis of enterprise financial management, the total asset turnover rate of ZH Group decreased by 0.39 times in 5 years. After 5 years of adjustment of the company's business, the company's overall operational capabilities still needed to be improved, and the company's comprehensive business capabilities also still needed to be improved. Therefore, the application of intelligent algorithms for financial control is very necessary.
Abstract
Incorporating neuromorphic electronics in bioelectronic interfaces can provide intelligent responsiveness to environments. However, the signal mismatch between the environmental stimuli and ...driving amplitude in neuromorphic devices has limited the functional versatility and energy sustainability. Here we demonstrate multifunctional, self-sustained neuromorphic interfaces by achieving signal matching at the biological level. The advances rely on the unique properties of microbially produced protein nanowires, which enable both bio-amplitude (e.g., <100 mV) signal processing and energy harvesting from ambient humidity. Integrating protein nanowire-based sensors, energy devices and memristors of bio-amplitude functions yields flexible, self-powered neuromorphic interfaces that can intelligently interpret biologically relevant stimuli for smart responses. These features, coupled with the fact that protein nanowires are a green biomaterial of potential diverse functionalities, take the interfaces a step closer to biological integration.
The purpose of this study is to empirically investigate the dimensions and drivers of entrepreneurial perceptions in the pursuit of emerging e-business opportunities for traditional (or offline) ...firms. This study introduces the subjectivist theory of entrepreneurship into the IS research context, and identifies three dimensions that make up entrepreneurial perceptions: collaboration perception, planning perception, and operation perception. The authors tested the proposed research model using structural equation modeling (SEM) with survey data collected from 203 firms in China. Results reveal that external pressures and IT infrastructure maturity are positively and significantly related to entrepreneurial perceptions. The results also suggest that IT infrastructure maturity has stronger effects on collaboration perception and planning perception than external pressures. This paper provides clear guidance for entrepreneurs to understand the three entrepreneurial perceptions for emerging e-business opportunity discovery and the driving forces to the entrepreneurial perceptions.
•This study identifies three dimensions of entrepreneurial perceptions in the pursuit of e-business opportunities.•Data was collected from 203 manufacturing and service firms in China.•Results suggest that external pressures and IT infrastructure maturity influence entrepreneurial perceptions.
High entropy metal diborides (HEBs) represent a radically new approach to extend the chemical composition window of ultra-high temperature ceramics (UHTCs). In this work, arc-melting was used to ...produce dense HEBs starting from UHTC powders. In order to understand the influence of each individual diboride within the quinary system (HfB2, ZrB2, TiB2, TaB2 and CrB2), we investigated five quaternary equimolar solid solutions e.g. Hf-Zr-Ti-Ta, Hf-Zr-Ti-Cr, Hf-Zr-Ta-Cr, Hf-Ti-Ta-Cr, Zr-Ti-Ta-Cr and the overall quinary equimolar combination. Arc-melting allowed a rapid screening of favorable and unfavorable combinations. The produced HEBs were free from undesired oxides and characterized by linear variation of lattice parameters typical of diborides and binary solid solutions. Because of evaporation during arc melting, CrB2 was hardly found in the solid solution, suggesting that vapor pressure should be taken into account when designing HEB compositions especially for operating temperatures exceeding 2000 °C. Finally, Vickers microhardness ranged between the typical values of starting diborides.
Geopolymer with Si/Al ratios from 2 to 4 were prepared by adding different contents of fused silica into geopolymer matrix. Effects of Si/Al ratios on the structure, mechanical properties and ...chemical stability in air of the obtained geopolymer were systematically investigated. The results showed that all the geopolymer samples were XRD amorphous. Geopolymer with Si/Al ratios of 2 and 2.5 showed similar structure and property and they were classed as KGP-I; and geopolymer with Si/Al ratios of 3, 3.5 and 4 were similar and they were class as KGP-II. In alkaline solution, reactivity of fused silica were higher than that of metakaolin, resulting in higher content of both residual metakaolin and free alkaline cation in KGP-II than in KGP-I. Fused silica partially reacted with the alkaline solution in KGP-II indicating chemical interfacial bonding between silica and binder phase. With the increase in Si/Al ratios, KGP-II especially for geopolymer with Si/Al of 4 showed much higher mechanical properties than KGP-I due to the increased Si-O-Si bonds and residual silica as reinforcement. However, KGP-II showed worse chemical stability in air than KGP-I, with the presence of efflorescence on the surface, which was attributed to their higher residual free K+.
Prognostic and health management (PHM) plays a vital role in ensuring the safety and reliability of aircraft systems. The process entails the proactive surveillance and evaluation of the state and ...functional effectiveness of crucial subsystems. The principal aim of PHM is to predict the remaining useful life (RUL) of subsystems and proactively mitigate future breakdowns in order to minimize consequences. The achievement of this objective is helped by employing predictive modeling techniques and doing real-time data analysis. The incorporation of prognostic methodologies is of utmost importance in the execution of condition-based maintenance (CBM), a strategic approach that emphasizes the prioritization of repairing components that have experienced quantifiable damage. Multiple methodologies are employed to support the advancement of prognostics for aviation systems, encompassing physics-based modeling, data-driven techniques, and hybrid prognosis. These methodologies enable the prediction and mitigation of failures by identifying relevant health indicators. Despite the promising outcomes in the aviation sector pertaining to the implementation of PHM, there exists a deficiency in the research concerning the efficient integration of hybrid PHM applications. The primary aim of this paper is to provide a thorough analysis of the current state of research advancements in prognostics for aircraft systems, with a specific focus on prominent algorithms and their practical applications and challenges. The paper concludes by providing a detailed analysis of prospective directions for future research within the field.
Granite is a common construction material that is widely used in the various types of structures, but its dynamic behavior is not clearly understood. To investigate the uniaxial compressive behavior ...of the granite under high strain rates compression, three groups of specimens with the same aspect ratio (0.5) but different diameters were tested with two large split Hopkinson pressure bar systems with respective diameters of 60 and 155 mm. The latter allowed the large specimen with diameter up to 150 mm to be employed in the compressive tests. Brittle fracture was the main failure pattern in the dynamic tests. The fragment size decreased with the increasing strain rate, ranging from 21 to 286 s
−1
. The percentage of the fragments with small sizes (< 5 mm) increased with the increasing strain rate, while the percentage with larger sizes (> 20 mm) decreased. The incomplete stress–strain curves corresponded to the incomplete fragmentation of the specimens. The representative stress–strain curve of each impact velocity was developed using a mathematical model. The dynamic strength of the 50-mm- and 60-mm-diameter specimens were identical, while that of the 150-mm specimens was larger at the same strain rate level. The dynamic increase factor was < 1.0 at the low strain rates (< 55 s
−1
for the 150-mm-diameter specimens, and < 100 s
−1
for the 50-mm- and 60-mm-diameter specimens), while it was > 1.0 at higher strain rates. The energy absorption density increased with the impact velocity, dynamic strength, and strain rate. Two groups of representative curves were developed to describe the relationships between the energy absorption density, strain rates, and dynamic strength.
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Exploiting metal-free cocatalysts is of huge interest for photocatalytic technology in environmental wastewater remediation and water splitting fields. The N doped carbon quantum dots ...(NCDs) modified defect-rich g-C3N4 (DCN) was prepared through impregnation method. The structural, optical and electronic properties of NCDs/DCN were systematically investigated. The NCDs/DCN with outstanding visible light absorption, narrowed gap and electron transfer ability were conducive to combined pollutions photocatalytic removal and simultaneous H2 production and rhodamine B (RhB) degradation. The resulting NCDs/DCN performed much higher removal efficiency in different combined pollutions systems containing OFL/Cr (VI), BPA/Cr (VI) and CIP/Cr (VI) than in single system owing to the synergistic effect between organic pollution oxidation and Cr (VI) reduction. The free-radical quenching experiments, spectral technology and electron spin resonance (ESR) confirmed that Cr(VI) can be reduced by the conduction band (CB) electrons, and the h+ and O2− radicals dominated OFL degradation. The optimized NCDs/DCN displayed excellent simultaneously photocatalytic H2 production activity and RhB degradation with the H2 evolution rate of 3.68 μmol‧h−1‧g−1 and 100% RhB removal efficiency. The photocatalytic activity of simultaneous combined pollutions removal and synergistic H2 generation and RHB degradation provides a promising strategy for real wastewater remediation applications and energy utilization.
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