Post‑recovery symptoms of infected cases after Omicron pandemic: a quick online cross-sectional study based on C19-YRSm in China.

Background: The post COVID-19 health condition of Chinese residents infected with Omicron is not clear after the change of epidemic prevention policies. This study aimed to clarify the epidemiology and associated factors about health status of rehabilitation patients.

Methods: A quick questionnaire study based on C19-YRSm was conducted in mainland China through internet from May 1, 2023, to May 7, 2023.

Comparing remifentanil and sufentanil in stress reduction during neurosurgery: a randomised controlled trial.

Background In most scenarios, anaesthesiologists titrate opioids to control nociceptive surgical stress based on intraoperative haemodynamic changes. Remifentanil was reported to cause more profound cardiovascular depression than sufentanil. A concern is that this direct cardiovascular depression might counteract the hypertension and tachycardia caused by surgical manipulation and mask inadequate analgesia.

Comparing two airway management strategies for moderately sedated patients undergoing awake craniotomy: A single-blinded randomized controlled trial.

Background: In the monitored anesthesia care (MAC) setting for awake craniotomy (AC), maintaining airway patency in sedated patients remains challenging. This randomized controlled trial aimed to compare the validity of the below-epiglottis transnasal tube insertion (the tip of the tube placed between the epiglottis and vocal cords) and the nasopharyngeal airway (simulated by the above-epiglottis transnasal tube with the tip of the tube placed between the epiglottis and the free edge of the soft palate) with respect to maintaining upper airway patency for moderately sedated patients undergoing AC.

Methods: Sixty patients scheduled for elective AC were randomized to receive below-epiglottis (n = 30) or above-epiglottis (n = 30) transnasal tube insertion before surgery.

CeO quantum dots with massive oxygen vacancies as efficient catalysts for the synthesis of dimethyl carbonate.

CeO2-x quantum dots with massive oxygen vacancies are obtained by a one-step single molecular synthesis strategy. The yield of dimethyl carbonate from CO2 and methanol is more than 5 times that for commercial CeO2 nanoparticles.

Spatial Vulnerability of Network Systems under Spatially Local Hazards.

A hazard is often spatially local in a network system, but its impact can spread out through network topology and become global. To qualitatively and quantitatively assess the impact of spatially local hazards on network systems, this article develops a new spatial vulnerability model by taking into account hazard location, area covered by hazard, and impact of hazard (including direct impact and indirect impact), and proposes an absolute spatial vulnerability index (ASVI) and a relative spatial vulnerability index (RSVI). The relationship between the new model and some relevant traditional network properties is also analyzed.

[Effects of Phenol on Activity and Microfauna Community Structure of Activated Sludge].

In order to investigate the effects of phenol on activity and microfauna community structure of activated sludge, phenol with different concentrations were added into the wastewater for activated sludge culturing in a SBR reactor, then the activity parameters of TTC-ETS and INT-ETS of activated sludge were measured, and the dynamics of microfauna community was analyzed. The results indicated that TTC-ETS activity was more applicable to evaluate the effects of phenol on sludge activity than INT-ETS activity. The higher the concentration of phenol was, the more seriously the sludge activity was inhibited.

Deterministic Agent-Based Path Optimization by Mimicking the Spreading of Ripples.

Inspirations from nature have contributed fundamentally to the development of evolutionary computation. Learning from the natural ripple-spreading phenomenon, this article proposes a novel ripple-spreading algorithm (RSA) for the path optimization problem (POP). In nature, a ripple spreads at a constant speed in all directions, and the node closest to the source is the first to be reached.

Evolutionary computation with spatial receding horizon control to minimize network coding resources.

The minimization of network coding resources, such as coding nodes and links, is a challenging task, not only because it is a NP-hard problem, but also because the problem scale is huge; for example, networks in real world may have thousands or even millions of nodes and links. Genetic algorithms (GAs) have a good potential of resolving NP-hard problems like the network coding problem (NCP), but as a population-based algorithm, serious scalability and applicability problems are often confronted when GAs are applied to large- or huge-scale systems. Inspired by the temporal receding horizon control in control engineering, this paper proposes a novel spatial receding horizon control (SRHC) strategy as a network partitioning technology, and then designs an efficient GA to tackle the NCP.

Calculating complete and exact Pareto front for multiobjective optimization: a new deterministic approach for discrete problems.

Searching the Pareto front for multiobjective optimization problems usually involves the use of a population-based search algorithm or of a deterministic method with a set of different single aggregate objective functions. The results are, in fact, only approximations of the real Pareto front. In this paper, we propose a new deterministic approach capable of fully determining the real Pareto front for those discrete problems for which it is possible to construct optimization algorithms to find the k best solutions to each of the single-objective problems.

Characteristics of biofilm attaching to carriers in moving bed biofilm reactor used to treat vitamin C wastewater.

In order to investigate characteristics of biofilm attaching firmly to carriers in the moving bed biofilm reactor (MBBR) used for vitamin C wastewater treatment, experiments were undertaken with instrumental analysis methods. Scanning electron microscopy (SEM) micrographs of MBBR biofilms revealed that there were rod-shaped microbes and cocci in the biofilm, and microbes were embedded within medium substances and the biofilm matrix adhered firmly to carriers, leading to the formation of a smooth compacted surface at the base of the biofilm. Transmission electron microscopy (TEM) analysis revealed that extracellular polymeric substances (EPS) layer surrounded cell, sequestered inorganics to form a mixed structure, which ensured firm attachment of the biofilm to the carrier.

Deterministic ripple-spreading model for complex networks.

This paper proposes a deterministic complex network model, which is inspired by the natural ripple-spreading phenomenon. The motivations and main advantages of the model are the following: (i) The establishment of many real-world networks is a dynamic process, where it is often observed that the influence of a few local events spreads out through nodes, and then largely determines the final network topology. Obviously, this dynamic process involves many spatial and temporal factors.

A ripple-spreading genetic algorithm for the aircraft sequencing problem.

When genetic algorithms (GAs) are applied to combinatorial problems, permutation representations are usually adopted. As a result, such GAs are often confronted with feasibility and memory-efficiency problems. With the aircraft sequencing problem (ASP) as a study case, this paper reports on a novel binary-representation-based GA scheme for combinatorial problems.