Human infections with Rocahepevirus ratti genotype C1 (HEV-C1) in Hong Kong of China, Canada, Spain, and France have drawn worldwide concern towards Rocahepevirus. This study conducted a global genetic analysis Rocahepevirus, aiming to furnish comprehensive molecular insights promote further research. We retrieved 817 sequences from the GenBank database through October 31, 2023, categorizing them according research, sample collection area date, genotype, host, sequence length. Subsequently,...

Energy storage and demand response (DR) resources, in combination with intermittent renewable generation, are expected to provide domestic customers the ability reducing their electricity consumption. This study highlights role that an intelligent battery control, solar could play increase uptake while customers’ bills without intruding on people's daily life. The optimal performance of a home energy management system (HEMS) is investigated through range interventions, leading different...

Since March 2013, the H7N9 subtype of avian influenza virus (AIV) has become an important zoonotic infectious disease, garnering significant global attention because its potential to affect human health. Establishing a rapid, effective, and sensitive method detect H7 AIVs is crucial for disease control. In this study, we developed graphene oxide multilayer quantum dot-based immunochromatographic strip ultrasensitive detection AIVs. The demonstrated excellent sensitivity, with limit 0.063...

The H10 subtype avian influenza virus (AIV), an important zoonotic pathogen, is widely prevalent in host species (wild fowl) and continues to infect humans, imposing a huge threat public health. Thus, the AIV considered potential pandemic strain has drawn attention of scholars worldwide. Therefore, fast, sensitive, economical detection method for needs be developed surveillance prevention this infection. Quantum dot fluorescent microsphere‐based immunochromatographic strip (QDFM‐ICS) great...

The Rocahepevirus ratti hepatitis E virus genotype C1 (HEV-C1) has been documented to infect humans. However, the understanding of HEV-C1 remains constrained. This study aims determine prevalence and genomic characteristics in small animals Yunnan province southwestern China. A total 444 liver tissues were collected from covering orders Rodentia, Soricomorpha, Scandentia Erinaceomorpha three regions Yunnan. Then Paslahepevirus balayani examined using RT-qPCR. detection rate was 12.95 %...

The uncertainty and regularity of wind power generation are caused by resources’ intermittent randomness. Such volatility brings severe challenges to the grid. requirements for ultrashort-term short-term forecasting with high prediction accuracy model used, have great significance reducing phenomenon abandoned , optimizing conventional plan, adjusting maintenance schedule developing real-time monitoring systems. Therefore, accurate is important in electric load forecasting. echo state...

The increase in extreme weather affects the distribution system, leading to system collapse and interruption power supply loads. Island partition is a resilient solution when major faults happen system. This paper proposes an island model considering load forecasting error. Specifically, two-stage robust optimization program formulated restore as many loads possible, while satisfying operation topology constraints. Ellipsoidal uncertainty set built describe of error take temporal correlation...

Hepatitis E virus (HEV) is an emerging zoonotic pathogen with multiple species and genotypes, which may be classified into human, animal, HEV. Codon usage bias of HEV remained unclear. This study aims to characterize the codon elucidate main drivers influencing bias. A total seven HEV-1 (human HEV), HEV-3 HEV-4 (zoonotic HEV-8, HEV-B, HEV-C1, HEV-C2 (emerging animal were included in study. Complete coding sequences, ORF1, ORF2, ORF3, accordingly obtained GenBank. Except for other six...

China’s carbon neutrality strategy has expedited a transition towards greener and lower-carbon integrated energy systems. Faced with the problem that central position of thermal power cannot be transformed quickly, utilizing traditional units in low-carbon efficient manner is premise to guarantee green development. This study focuses on production system (IEPS) stochastic optimization model for capacity configuration integrates capture storage power-to-gas while considering source-load...

To facilitate the large-scale integration of distributed wind generation (DWG), uncertainty DWG outputs needs to be quantified, and maximum hosting capacity (DWGHC) distribution systems must assessed. However, structure high-dimensional nonlinear dependencies abnormal marginal distributions observed in geographically dispersed lead increase complexity analysis. address this issue, paper proposes a novel assessment model for DWGHC that considers spatial correlations between (DG) outputs. In...

Despite it is essential to distribution network economics, computing energy loss for most major networks still a tough task due the absence of full monitoring.Assume line current follows normal distribution, sum its square linear combination independent chisquare variables, which generalized noncentral chi-square distribution.Based on this finding, we develop new probability-based analytical method estimate losses efficiently.The proposed requires merely knowledge mean and variance as well...

Abstract The rising of energy demand together with environmental protection awareness have attracted worldwide interest in renewable energy, especially photovoltaic (PV). Meanwhile, the expansion transportation infrastructure, solar has been employed roadway construction, called road. technology Solar road offers an opportunity to capture vast and dispersed while maximizing use land. A PV power generation assessment method for considering coupled distribution system is proposed this paper....

In this paper, aiming to achieve the target of carbon emission orientation, a multi-objective optimization model multi-energy flow coupling system is proposed, in which all environmental protection, economy, and energy efficiency are comprehensively considered as addressed objectives. To solve developed model, by combining analytic hierarchy process (AHP) improved entropy weight method, so-called AHP-improved method proposed utilized for weighting objectives, transformed into single...

The active distribution network (ADN) shows great potential for use in restoration services, given its ability to actively control the topology, distributed generation (DG) outputs, and demand response (DR) resources. However, utility may be limited due geographical dispersion of DG DR resources when applied natural disasters such as windstorms, earthquakes, floods. In addition, increasing renewable energy creates fluctuations uncertainties, hindering ADNs from realizing reliable scheduling...

Compressed sensing (CS) based sparse channel estimation which sufficiently exploits the inherent sparsity of channels can achieve desirable performance compared with conventional algorithms. However, in common recovery algorithms, such as orthogonal matching pursuit (OMP), uses pilots inserted one individual frequency division multiplex (OFDM) symbol every time without considering correlation channels. Besides, estimated contain strong ambient sea noise. Therefore, accuracy be further...

An effective way for China to achieve a carbon emission peak by 2030 is encourage developed regions take the lead in attaining peaking at regional level. Considering Jiangsu Province as an example, this study established provincial low emissions analysis platform (LEAP-Jiangsu) model. It combined improved multilevel logarithmic mean Divisia index (M-LMDI) model, Tapio decoupling and synergistic effect of pollution reduction model explore key influencing factors paths. The M-LMDI was used...

This paper proposes a distribution network's maximum distributed generation (DG) hosting capacity assessment method considering multivariate dependences among wind speeds in different locations. Our work this is twofold. First, vine copula model introduced to capture the high-dimensional dependence structure of speed Then, obtain trade-off between DG curtailment risk and high penetration level, we propose novel chance-constrained where renewable energy level adjustable predefined. The...

The active distribution network management (ADNM) equipped by networks (ADNs) can enhance the resilience of after failure. This paper proposes a novel comprehensive post-event restoration model and its chance-constrained variant for ADN that considering dispatch distributed generation (DG), energy storage system (ESS), demand response (DR), static var compensator (SVC), reconfiguration to fully investigate potential ADNM in restoration. In this paper, line failure, bus uncertainty from load...