Cobalt-Free BaFe_(0.6)Zr_(0.1)Y_(0.3)O_(3−δ)Oxygen Electrode for Reversible Protonic Ceramic Electrochemical Cells

Reversible protonic ceramic electrochemical cells(R-PCECs)are ideal,high-effi ciency devices that are environmentally friendly and have a modular design.This paper studies BaFe_(0.6)Zr_(0.1)Y_(0.3)O_(3−δ)(BFZY3)as a cobalt-free perovskite oxygen electrode for high-performance R-PCECs where Y ions doping can increase the concentration of oxygen vacancies with a remarkable increase in catalytic performance.The cell with confi guration of Ni-BZCYYb/BZCYYb/BFZY3 demonstrated promising performance in dual modes of fuel cells(FCs)and electrolysis cells(ECs)at 650℃with low polarization resistance of 0.13Ωcm^(2),peak power density of 546.59 mW/cm^(2)in FC mode,and current density of−1.03 A/cm^(2)at 1.3 V in EC mode.The alternative operation between FC and EC modes for up to eight cycles with a total of 80 h suggests that the cell with BFZY3 is exceptionally stable and reversible over the long term.The results indicated that BFZY3 has considerable potential as an air electrode material for R-PCECs,permitting effi cient oxygen reduction and water splitting.

出口火锅底料风险预警特征研究及发生原因分析

为监管检验提供科学依据,促进火锅产业安全高质量发展。系统全面比较分析从中国技术性贸易措施网和食品伙伴网等查询到的30起我国出口火锅底料被韩国、日本和美国、831起火锅底料中主要用配料被欧盟、美国、日本和韩国的风险预警,12起国内火锅底料和18起主要配料监督抽查不合格(2001年1月—2022年11月)的风险预警特征,分析发生原因。出口火锅底料有8种风险类型,其中被韩国通报16起,3种风险类型,以丙酸、脱氢乙酸居多;日本通报8起,2种风险类型,以甜蜜素居多;美国通报6起,4种风险类型,以产品污秽腐烂变质居多。831起火锅底料主要配料风险预警其风险类型较多、复杂。国内火锅底料防腐剂和重金属残留超标,防腐剂与出口火锅底料的种类不同,出口火锅底料和国内市场销售的火锅底料风险预警不同。国内火锅底料用配料的不合格与其出口的风险预警存在差异。火锅底料风险预警不是主要配料风险预警的叠加,系火锅底料特殊的加工工艺[火锅底料配料清洗(浸泡)、长时高温炒制或熬煮和预包装工艺]所致。

基于FMCW雷达的非接触式医疗健康监测技术综述

非接触式的医疗健康监测系统解决了用户依从性问题,避免了佩戴电极、传感设备进行监测带来的不舒适感,更有助于将健康监测融入日常生活。非接触式监测手段具有持续地监测用户健康状况的潜力,能够在突发急性医疗事件出现时及时示警,且能够满足新生儿、烧伤患者、传染病患者等特殊人群的监测需求。调频连续波(FMCW)雷达能够同时捕获雷达视场内目标的距离、速度信息,可用于非接触式地监测用户的心率、呼吸率等生理体征及跌倒等行为动作,且从技术上易于单片集成,成本可控,因此在医疗健康监测领域有着重要的应用价值。该文首先阐述了将FMCW雷达应用于非接触式医疗健康监测技术的理论基础,然后系统性地归纳了该领域中的典型前沿应用,最后总结了基于FMCW雷达的医疗健康应用这一领域的研究现状及局限性,并对其应用前景与潜在的研究方向进行了展望。

High performance and stability of double perovskite-type oxide NdBa0.5Ca0.5Co1.5Fe0.5O5+δas an oxygen electrode for reversible solid oxide electrochemical cell

In this study,we successfully synthesized double perovskite-type oxide NdBa0.5Ca0.5Co1.5Fe0.5O5+δ(NBCCF)using a conventional wet chemical method as the oxygen electrode for reversible solid oxide electrochemical cells(RSOCs).The polarization resistance(Rp)of the composite electrode NBCCFGd0.1Ce0.9O2(GDC)is only 0.079Ωcm^2 at 800℃under air.The single cell based on NBCCF-GDC electrode displays a peak power density of 0.941 W/cm^2 in fuel cell mode and a low Rp value of 0.134Ωcm^2.In electrolysis cell mode,the cell displays an outstanding oxygen evolution reaction(OER)activity and shows current density as high as 0.92 A/cm^2 with 50 vol%AH(Absolute Humidity)at 800℃and applied voltage of 1.3 V.Most importantly,the cell exhibits admirable durability of 60 h both in electrolysis mode and fuel cell mode with distinguished reversibility.All these results suggest that NBCCF is a promising candidate electrode for RSOC.

大豆波状卷叶新种质NWL1特性鉴定与基因定位

为给大豆叶发育研究及株型改良提供新的基因资源及相关信息,通过对大豆波状卷叶新材料NWL1的性状评价与基因定位,比较NWL1与野生型之间形态农艺性状、光合生理特性的差异,并对波状卷叶控制基因进行基因定位。结果表明:突变体NWL1植株自第3片复叶起叶缘呈波浪状,切片观测发现其叶脉表皮细胞排列不规则;农艺性状调查发现杂交后代波状卷叶植株的株高及产量构成因子性状值均低于野生型,但也存在单株荚、粒数较多的波状卷叶单株可供选择。2个杂交组合后代的遗传分析表明该波状卷叶性状受两对隐性基因wl1、wl2控制,还发现所有波状卷叶植株均为灰毛,表明茸毛色与波状卷叶基因紧密连锁或共分离。利用W82×NWL1群体F2群体77个隐性单株,将wl1基因定位在第6号染色体上SSR标记BARCSOYSSR_06_0971和BARCSOYSSR_06_1008之间约1. 0 Mb区间。从定位区间的56个候选基因中选出调控黄酮醇苷表达的茸毛色基因Glyma. 06G202300,测序发现NWL1等突变材料中该基因第三个外显子中第79个碱基A缺失,致其后氨基酸序列改变。wl2被定位在第7号染色体SSR标记AF186183和BARCSOYSSR_07_1143之间,二者遗传距离为25. 1 c M。

原生家庭引发的大学生心理健康问题研究

近年来,大学生心理健康问题日渐凸显,日益受到人们的关注,而原生家庭对大学生的心理健康问题起着至关重要的作用,本文通过一线辅导员视角,结合实际案例分析原生家庭对于大学生心理健康问题的影响,并探究促进学生心理健康的有效途径。

在场凝视与在线创作——新媒体视域下短视频与当代艺术的互文性融合和传播

在新媒体日益蓬勃发展的大环境下,伴随着科学和信息技术的迅猛发展,人们的欣赏习惯和审美需求在逐步发生着变化,短视频作为一种新的影视艺术形式,无疑是近年来备受关注的话题之一。短视频的发展经过了野蛮生长的用户生产内容(UGC)阶段,走过了生态产业化的专业生产内容(PGC)阶段,如今已经发展到专业媒体及用户联合生产内容(PUGC)的阶段。

Silencing lncRNA CTD-2510F5.4 inhibits the proliferation,invasion and RACGAP1 expression of Huh-7 human hepatocellular carcinoma cells

Objective:To study the effect of lncRNA CTD-2510F5.4 silencing on the proliferation and invasion of huh-7 human hepatocellular carcinoma cells and its possible regulatory relationship with RACGAP1.Methods:The TCGA(The Cancer Genome Atlas)database was used to analyze the expression of lncRNA CTD-2510F5.4 in liver cancer and normal tissues and the correlation with the expression of RACGAP1.CTD-2510F5.4 silencing test was performed on Huh-7 human liver cancer cells,and PCR was used to verify its silencing efficiency.CCK8,Transwell,flow cytometry were used to detect cell proliferation,invasion,and apoptosis,RTPCR,and Western blot.Detect the expression level of RACGAP1.Results:In the TCGA database,lncRNA CTD-2510F5.4 was highly expressed in liver cancer tissues,and it was positively correlated with the expression of RACGAP1(R=0.85).After silencing CTD-2510F5.4,the proliferation and invasion of huh-7 human liver cancer cells were inhibited,apoptosis increased,and the mRNA and protein expression of RACGAP1 were downregulated.Conclusion:lncRNA CTD-2510F5.4 may be the oncogenic lncRNA of liver cancer,and RACGAP1 may be the target of lncRNA CTD-2510F5.4.Silencing CTD-2510F5.4 can inhibit the proliferation and invasion of huh-7 human liver cancer cells,and promote apoptosis,which may be achieved by inhibiting the expression of RACGAP1.

Pd-La_(0.6)Sr_(0.4)Co_(0.2)Fe_(0.8)O_(3-δ)composite as active and stable oxygen electrode for reversible solid oxide cells

To promote the electrocatalytic activity and stability of traditional(a_(0.6)Sr_(0.4)Co_(0.2)Fe_(0.8)O_(3-δ)(LSCF)oxygen electrodes in reversible solid oxide cells(RSOCs),conventional physical mixed method was used to prepare the Pd-LSCF composite oxygen electrode.The cell with Pd-LSCF|GDC|YSZ|Ni-YSZ configuration shows perfect electrochemical performance in both solid oxide fuel cell(SOFC)mode and solid oxide electrolysis cell(SOEC)mode.In the SOFC mode,the cell achieves a power density of 1.73 W/cm^(2)at800℃higher than that of the LSCF oxygen electrode with 1.38 W/cm^(2).In the SOEC mode,the current density at 1.5 V is 1.67 A/cm^(2)at 800℃under 50 vol%steam concentration.Moreover,the reversibility and stability of the RSOCs were tested during 192 h long-term reversible operation.The degradation rate of the cell is only 2.2%/100 h and 2.5%/100 h in the SOEC and the SOFC modes,respectively.These results confirm that compositing Pd with the LSCF oxygen electrode can considerably boost the electrochemical performance of LSCF electrode in RSOCs field.

Embedding expert demonstrations into clustering buffer for effective deep reinforcement learning

As one of the most fundamental topics in reinforcement learning(RL),sample efficiency is essential to the deployment of deep RL algorithms.Unlike most existing exploration methods that sample an action from different types of posterior distributions,we focus on the policy sampling process and propose an efficient selective sampling approach to improve sample efficiency by modeling the internal hierarchy of the environment.Specifically,we first employ clustering methods in the policy sampling process to generate an action candidate set.Then we introduce a clustering buffer for modeling the internal hierarchy,which consists of on-policy data,off-policy data,and expert data to evaluate actions from the clusters in the action candidate set in the exploration stage.In this way,our approach is able to take advantage of the supervision information in the expert demonstration data.Experiments on six different continuous locomotion environments demonstrate superior reinforcement learning performance and faster convergence of selective sampling.In particular,on the LGSVL task,our method can reduce the number of convergence steps by 46.7%and the convergence time by 28.5%.Furthermore,our code is open-source for reproducibility.The code is available at https://github.com/Shihwin/SelectiveSampling.

A preliminary experimental investigation on the biotribocorrosion of a metal-on-polyethylene hip prosthesis in a hip simulator

Corrosion at the taper/trunnion interface of total hip replacement(THR)often results in severe complications.However,the underlying mechanisms of biotribocorrosion at the taper/trunnion interface during the long-term walking gait cycles remain to be fully understood.In this study,a hip joint simulator was therefore instrumented with an electrochemical cell for in-situ monitoring of the tribocorrosion evolution in a metal-on-polyethylene(MoP)THR during a typical long-term walking gait.In addition,the biotribocorrosion mechanism was investigated via surface and chemical characterizations.The experimental results confirmed that the taper/trunnion interface dominated the contemporary MoP hip joint corrosion.Three cyclic variations in the open circuit potential(OCP)were observed throughout the long-term electrochemical measurements,attributed to the formation and disruption of the adsorbed protein layer.The corrosion exhibited an initial increase at each period,peaking at approximately 0.125 million cycles,followed by a subsequent gradual reduction.Surface and chemical analyses revealed the formation of a tribochemical reaction layer(tribolayer)on the worn surface of the taper/trunnion interface.The surface/chemical characterizations and the electrochemical measurements indicated that the adhesion force of the adsorbed protein layer was weaker than that of the tribolayer.In contrast,the opposite was true for the corrosion resistance.Based on the observations from this study,the tribocorrosion mechanism of the taper/trunnion interface under the long-term walking gait cycles is deduced.

3D geological suitability evaluation for underground space based on the AHP-cloud model

Urban development continues to reduce the amount of available ground space.The development of underground space is thus gath-ering increasing attention to alleviate ground congestion.However,there is currently a lack of a three-dimensional(3D)evaluation method to systematically evaluate the geological conditions of underground space and possible geological disaster risks caused by rock and soil masses.This paper presents an engineering geological suitability assessment framework based on 3D geological modeling and an analytic hierarchy process(AHP)-cloud model.As the basis for 3D evaluation,a 3D structural model of the study area is established based on the drilling data and geological profiles.Then the structural model is partitioned to obtain interpolation grids,and the ordinary Kriging interpolation method is applied to attribute interpolation.All the attributes are exported from the geological model,and the rock and soil masses are divided into four categories according to their engineering properties,namely soft soil,sandy soil,cohesive soil,and rock,upon which a targeted hierarchy structure is established based on the attributes that impact the suitability.This paper intro-duces the cloud model to characterize the uncertainty of these evaluation indexes,which synthesizes an AHP method,thus it is referred to as the AHP-cloud model.This new model is used to evaluate the geological suitability of underground space in the Sanlong Bay district,Foshan City,Guangdong,China.In addition,we also determine the excavation difficulty at different depths according to the lithology and weathering degree of the study area.The limitations and future directions of the proposed method are discussed,including the influ-encing factors and weight determination.

Brief review of hydrocarbon-reforming catalysts map for hydrogen production

Hydrogen energy,the cleanest fuel,presents extensive applications in renewable energy technologies such as fuel cells.However,the transition process from carbon-based(fossil fuel)energy to desired hydrogen energy is usually hindered by inevitable scientific,technological,and economic obstacles,which mainly involves complex hydrocarbon reforming reactions.Hence,this paper provides a systematic and comprehensive analysis focusing on the hydrocarbon reforming mechanism.Accordingly,recent related studies are summarized to clarify the intrinsic difference among the reforming mechanism.Aiming to objectively assess the activated catalyst and deactivation mechanism,the rate-determining steps of reforming process have been emphasized,summarized,and analyzed.Specifically,the effect of metals and supports on individual reaction processes is discussed followed by the metalsupport interaction.Current tendency and research map could be established to promote the technology development and expansion of hydrocarbon reforming field.This review could be considered as the guideline for academics and industry designing appropriate catalysts.

A self-supervised method for treatment recommendation in sepsis

Sepsis treatment is a highly challenging effort to reduce mortality in hospital intensive care units since the treatment response may vary for each patient.Tailored treatment recommendations are desired to assist doctors in making decisions efficiently and accurately.In this work,we apply a self-supervised method based on reinforcement learning(RL)for treatment recommendation on individuals.An uncertainty evaluation method is proposed to separate patient samples into two domains according to their responses to treatments and the state value of the chosen policy.Examples of two domains are then reconstructed with an auxiliary transfer learning task.A distillation method of privilege learning is tied to a variational auto-encoder framework for the transfer learning task between the low-and high-quality domains.Combined with the self-supervised way for better state and action representations,we propose a deep RL method called high-risk uncertainty(HRU)control to provide flexibility on the trade-off between the effectiveness and accuracy of ambiguous samples and to reduce the expected mortality.Experiments on the large-scale publicly available real-world dataset MIMIC-Ⅲdemonstrate that our model reduces the estimated mortality rate by up to 2.3%in total,and that the estimated mortality rate in the majority of cases is reduced to 9.5%.

Aggregated context network for crowd counting

Crowd counting has been applied to a variety of applications such as video surveillance,traffic monitoring,assembly control,and other public safety applications.Context information,such as perspective distortion and background interference,is a crucial factor in achieving high performance for crowd counting.While traditional methods focus merely on solving one specific factor,we aggregate sufficient context information into the crowd counting network to tackle these problems simultaneously in this study.We build a fully convolutional network with two tasks,i.e.,main density map estimation and auxiliary semantic segmentation.The main task is to extract the multi-scale and spatial context information to learn the density map.The auxiliary semantic segmentation task gives a comprehensive view of the background and foreground information,and the extracted information is finally incorporated into the main task by late fusion.We demonstrate that our network has better accuracy of estimation and higher robustness on three challenging datasets compared with state-of-the-art methods.