Search

Amorphous aerogels with the microscopic nanoscale three-dimensional meshes provide superb platforms for investigating unique physicochemical properties. In order to enhance the physical, thermal and mechanical performances, one efficient and common approach is integrating diverse functional materials. Herein, we report a simple strategy to fabricate the amorphous silicon doped Y2O3 aerogels with the post-gelation method under the N2/EtOH supercritical atmosphere. The impact of Si concentration on the nonlinear optical properties is investigated for the first time. The maximum modulation depth is 1.65 % with a saturation intensity of 0.78 MW cm−2 with the 1-ps laser excitation at 1590 nm. Finally, we incorporated the silicon-doped Y2O3 aerogel based saturable absorber (SA) into an erbium-doped fiber laser (EDFL) and achieved various mode-locking operations at different wavelengths in the super C band, in terms of the conventional soliton, harmonic soliton molecules pulses, and dual-wavelength soliton mode-locking. Overall, this work confirms that amorphous silicon-doped Y2O3 aerogels are good nonlinear optical materials and pave a way for the ultrafast photonic and nonlinear optical applications with amorphous materials in near future.

IntroductionMetaraminol is a sympathomimetic amine vasopressor that can be administrated through a peripheral venous access. However, limited evidence restricts its application in critically ill patients. This study aimed to investigate the safety and efficacy of peripheral metaraminol infusion in patients with neurological conditions.MethodsPatients who received peripheral metaraminol infusion between May 2019 and April 2022 were recruited. Data on baseline characteristics, clinical parameters, and infusion-related complications were retrospectively collected and analyzed.Results273 patients who received metaraminol were enrolled. Of these, 35 (12.8%) patients required central venous catheter insertion due to inability in achieving hemodynamic stability following peripheral metaraminol monotherapy. In 29,574.2 hours of vasopressor infusion, metaraminol infusion resulted achievement of the target blood pressure 73.4% of the time. Meanwhile, adverse events occurred in 5 patients and resolved after local tissue treatment.DiscussionMetaraminol could provide hemodynamic support and avoid complications associated with a central venous catheter and delay in vasopressor administration. Through careful and close monitoring, peripheral metaraminol infusion is safe and feasible for patients with neurological conditions. Future large-scale, prospective, multicenter studies are needed to evaluate the safety and efficacy of metaraminol infusion through a peripheral intravenous catheter.

The risk-informed safety margin is a new safety concept of nuclear power industry in recent ten years. The calculation framework and the quantification technology under the Monte Carlo method of the riskinformed safety margin were studied. The riskinformed safety margin quantification technology of the station blackout (SBO) accident of nuclear power plant was focused on with the Monte Carlo sampling method. The simplified thermal hydraulic model of nuclear power plant was established with reference parameters of SBO accident in the simplified pressurized water reactor (PWR) model in the INL’s (Idaho National Laboratory) RISMC research. And the calculation process of the riskinformed safety margin based on Monte Carlo sampling method was determined. The number of scenarios generated by Monte Carlo sampling was essential to ensure the acceptability of the accuracy of the calculation results, and the accuracy of estimated value of probability safety margin would be higher if we establish more scenarios. The sampling times estimation method and the reliability calculation method of Monte Carlo were referenced, and a quantitative method of riskinformed safety margin with Monte Carlo sampling was proposed. The sampling times estimation method under the given error was given. According to the uncertainty calculation method of the riskinformed safety margin with Monte Carlo method and the estimation process of sampling times in Monte Carlo, the sampling times were determined by relative error and absolute error respectively. The results show that absolute error is equal to 001 with the 4 706 sampling times, and relative error is equal to 5% with the 9 604 sampling times in the riskinformed safety margin in SBO accident. The mean value and standard deviation of the failure probability of nuclear fuel cladding were calculated with these two sampling times. At this stage with the usual calculation of resource allocation, it is suggested that when the average failure probability of nuclear fuel cladding is larger than 01, the sampling times with 5% relative error should be selected. And when the mean value of failure probability of nuclear fuel cladding is equal to or lesser than 01, the sampling times with relative error equal to 10% could be used. The change of the mean value of failure probability of nuclear fuel cladding under the Latin hypercube sampling and random sampling method was studied. The relationship of the mean value with the recovery time of emergency diesel engine under different distributions was researched too. The calculation results indicate that the different sampling methods and different normal distributions have significant effects on mean value and standard deviation of the failure probability of the nuclear fuel cladding.

S-SDDS-B matrices is a subclass of P-matrices which contains B-matrices. New error bound of the linear complementarity problem for S-SDDS-B matrices is presented, which improves the corresponding result in [1]. Numerical examples are given to verify the corresponding results.

Two-dimensional Ruddlesden–Popper (RP) tin halide perovskites have recently shown promise in solar energy conversion applications owing to their low-toxicity and low-cost processability. However, RP tin halide perovskites typically consist of multiple phases with enormously disordered crystal orientation, lowering their power conversion efficiency. Herein, we show a new method to prepare phase-pure RP tin hybrid perovskite films by fluorinating the conventionally used spacer cation C6H5CH2NH3+ (abbreviated as FBE+). This solvophobic engineering strategy decreases the interaction among spacer cations and solvent molecules to induce the self-assembly of FBE+ cations into micelles. These micelles in the solvent capture tin iodide components, forming crystal nuclei. This "simultaneous" crystallization mode leads to uniformly distributed nuclei and further results in a phase-pure RP perovskite with vertical crystal orientation. The resultant phase pure FBE2FA3Sn4I13 perovskite exhibits an improved carrier mobility and much reduced trap density, which are favourable for solar energy conversion applications. A power conversion efficiency of 9.25% was achieved for the FBE2FA3Sn4I13 perovskite solar cell, which is among the highest efficiencies reported for state-of-the-art two-dimensional RP tin hybrid perovskite cells. [ABSTRACT FROM AUTHOR]

In the construction of super high-rise buildings, building machines (BMs) are increasingly replacing traditional climbing frames. Building machine jacking operation (BMJO) is a high-difficulty and high-risk stage in the construction of the top mold system. To guarantee the operational safety of the BMJO and to enhance its intelligent control level, a digital twin (DT)-based monitoring method for the operation status of the BMJO is proposed. Firstly, a DT framework for monitoring the operation status of the BMJO is presented, taking into account the operational characteristics of the BM and the requirements of real-time monitoring. The functions of each part are then elaborated in detail. Secondly, the virtual twin model is created using Blender's geometric node group function; artificial neural network technology is used to enable online prediction of the structural performance of the BMJO and a motion model is established to realize a real-time state mapping of the BMJO. Finally, taking a BM project as an example, the DT system is established in conjunction with the project to verify the feasibility of the DT framework for monitoring the state of the BMJO. It is proved that the prediction results have high accuracy and fast analysis speed, thus providing a new way of thinking for monitoring and controlling the safe operation of the BMJO. [ABSTRACT FROM AUTHOR]

Copyright of Conservation Biology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)