Lacto-N-triose II (LNT II) represents a significant neutral human milk oligosaccharide (HMO) that functions as fundamental structural framework for the synthesis of more complex HMOs. In this study, we utilize GlcNAc and lactose substrates, employing whole-cell catalytic approach LNT II. First, have identified successfully expressed three genes associated with production II: Nahk, EcGlmU, LgtA, synthesized through system utilizing multistrain coupling. Then, to further enhance yield,...

The transcranial ultrasound stimulation (TUS) on the thalamus can indirectly induce cortical response. Studies have shown that general anesthetic induced unconsciousness is related to interruption of thalamocortical connectivity. However, neural mechanism how anesthesia levels influence responses during has never been explored yet. And it remains unknown what signatures are evoked by under different levels. We recorded multichannel electrocorticogram (ECoG) rats at various isoflurane...

Wind power, photovoltaics and other new energy sources are connected to the grid on a large scale. The power electronic interface cannot provide inertia damping support for microgrid. virtual synchronous generator technology is introduced into inverter control system. Unlike generator, its parameters flexible adjustable, which can enhance robustness of This paper firstly analyzes influence moment system, it based equivalent relationship between three-phase machine, combined with VSG rotor...

This paper considers the economy and reliability of microgrid cluster system, proposes a bi-level optimized operation strategy for cluster, which aims to improve economic benefits reduce operating risk microgrid. The upper layer takes as research object, with goal minimizing total cost establishes optimal model cluster. lower sub-microgrid optimization index. method combining mixed integer linear programming IABC algorithm is used solve multi-objective model, provide decision makers two...

Because the new energy is intermittent and uncertain, it has an influence on system’s output power stability. A hydrogen storage system added to create a wind, light, integrated system, which increases utilization rate of renewable while encouraging consumption lowering abandoning wind light. Considering comprehensive operation cost economy, fluctuation, shortage as goal, considering relationship between generation load, assigning charging discharging commands batteries storage, constructing...

Increasing penetration of electric vehicles (EVs) gives rise to the challenges in secure operation power systems. The EV charging loads should be distributed among stations a fair and incentive-compatible manner while ensuring that transmission transformation facilities are not overloaded. This paper first proposes right (or ration) trading mechanism model based on blockchain. Considering all kinds random factors station loads, we use Monte Carlo modeling determine demand future. Based...

In view of the problems large-grid-level centralized transactions and dispatch centers with information asymmetry high processing costs, a completely decentralized transaction architecture weak scheduling strategy based on block-chain are proposed. Firstly, concepts decentralization defined, reliability distributed communication is studied. Built blockchain risk control model credit consensus mechanism. Secondly, under weakly autonomous chain substations, security checks performed, temporary...

Based on the high proportion of renewable energy connected to active distribution network, this article studies joint planning demand-side response and storage. Firstly, a two-level optimization model is established for network. The upper level objective function investment, operation maintenance cost storage fan, lower annual network loss cost. Then, improved Longhorn algorithm used solve two-layer programming model, combination beard particle swarm not only improves iteration speed, but...

This paper considers the economy and stability of microgrid cluster system, proposes a two-level energy optimization dispatching strategy for cluster, which aims to coordinate economic benefits operational risks while reducing interactive power fluctuations between distribution network, reduce line loss. The first level takes as research object, highest benefit lowest risk goals, uses improved PSO algorithm solve problem, builds unit risk-economic ratio screening solution set, then...

In order to improve the economy and safety of multi-microgrids (MMGs) scheduling, this paper proposes a research on MMGs scheduling strategy that takes into account dynamic electricity prices based blockchain. We first introduce principle blockchain, analyze security combination blockchain design architecture process platform. Second, we set price model according total power supply demand MMGs, load optimization model. Finally, take optimal system minimum environmental pollution as objective...

According the clustering principles in data analysis, a algorithm based on artificial immune system is proposed this paper. This mechanism of capture antigen by antibody. The datum that need to be clustered are viewed as antigens, and cluster centers antibodies system. effectively process which constantly generates for recognition antigens finally optimal antigens. experimental results show not only avoids local optima robust initialization, but also increases convergence speed.

Grover quantum search algorithm access the unsorted database O(N) times, however, probability of acquiring solutions usually falls with increase number solutions, reason which is analyzed. To improve performance converging and optimizing for intelligent optimization, some evolutionary algorithms are proposed by domestic foreign scholars. In this paper, a lot improved introduced in detail.

Four new species, Amphinemura auriculata Du & Wang, sp. nov., A. dispositspina hamatmicroda and latifollicula nov. from Yunnan province, China are described in this paper.

According to the current optimization problem of electric vehicle charging path planning, a strategy for vehicles is proposed, which under “traffic-price-distribution” mode. Moreover, this builds an and navigation system on basis road traffic network model, real-time electricity price model distribution model. Based Dijkstra shortest algorithm Monte Carlo time-space prediction method, it gets optimal with goal minimizing cost vehicles. The simulation results in MATLAB MATPOWER (MATLAB...

In the application of microgrid systems that include wind power, photovoltaic systems, diesel generators, and battery storage, cooperative control optimisation power distribution between sources is a major issue. Recently, droop has been used widely in microgrids. However, relies mainly on line parameter model grid load. Therefore, to improve performance microgrid, optimal operation based fuzzy sliding mode method considered this paper. To begin, system parameters were obtained by modeling...

The QoS of VoIP service in TDD-LTE uplink is subject to a series restrictive factors, such as strong inter-cell interference, tight delay budget, less retransmission times, etc. This paper studies different scheduling and link adaptation schemes for users makes analysis the corresponding simulation results. To further increase capacity, this proposes an applicable method base on wideband SINR differentiate UEs (user equipment) at cell edge from those center. Then two are utilized effects...

This paper explores the method of designing humanoid motion considering rhythm based on human capture. Captured data must be adapted for because its kinematics and dynamics differ from those actor. On other hand, it is expected that movements are highly similar to In this paper, first actor segmented into primitive motions. Then, constraints stability adjustment formulated. Next, similarity evaluation discussed, derive with high similarity, satisfying kinematic dynamic stability, presented....

In recent years, distributed generation (DG) has developed rapidly. Renewable energy, represented by wind energy and solar been widely studied utilized. At present, most generators follow the principle of “installation is forgetting” after they are connected to a distribution network. This limits popularization benefit great extent. order solve these problems, this paper presents two-tier model for optimal allocation power sources in active networks (ADN). The objective upper level planning...

Power-aware task scheduling on processors has been a hot topic. In this paper, we study the problem of minimizing schedule length for energy consumption constrained parallel applications heterogeneous distributed systems. Previous work (solving problem) adopts policy that preassigns minimum each unassigned task. Nevertheless, our analysis reveals such preassignment could be unfair, and it may not achieve an optimistic length. Motivated by this, propose new algorithm suggests weight-based...