摘要：由于环境相容性好、分子结构可定制和有机物资源丰富等优势,水系锌-有机物电池(AZOBs)成为构建新一代大规模储能系统的关键技术.然而,电导率差、有机物溶解和单一活性基团等问题严重限制了有机物正极材料的倍率性能、稳定性和比容量.因此,具备多氧化还原中心和稳定骨架的有机物正极材料对于实现高性能有机物正极材料至关重要.这些多官能团有机物可协同作用并激发基于多电子转移的氧化还原反应,进而促进H^(+)/Zn^(2+)共嵌以显著提升电池性能.本文探索了多官能团有机物电极的分子结构与其氧化还原反应机理之间的构效关系.本文综述了多官能团有机正极材料在提高氧化还原电位、比容量、动力学以及稳定性等方面面临的挑战和解决策略,为进一步开发先进AZOBs的关键正极材料提供了重要基础.

摘要：The effects of the cutting parameters （cutting speed, feed rate and depth of cut） on the surface roughness in machining the Nimonic C-263 alloy were investigated. The experiments were conducted using Taguchi＇s experimental design. The effect of cutting parameters on surface roughness was evaluated and the optimum cutting conditions for minimizing the surface roughness were determined. A second order model was established between the cutting parameters and surface roughness, using the response surface methodology. The experimental results revealed that among the parameters considered, the feed rate is the most significant which influences the surface roughness, followed by the cutting speed. The predicted values and measured values are fairly close, which indicates that the developed model can be effectively used to predict the surface roughness in machining the Nimonic C-263 alloy. The predicted values are validated using the additive law.

摘要：A novel method for developing a reliable data driven soft sensor to improve the prediction accuracy of sulfur content in hydrodesulfurization(HDS) process was proposed. Therefore, an integrated approach using support vector regression(SVR) based on wavelet transform(WT) and principal component analysis(PCA) was used. Experimental data from the HDS setup were employed to validate the proposed model. The results reveal that the integrated WT-PCA with SVR model was able to increase the prediction accuracy of SVR model. Implementation of the proposed model delivers the best satisfactory predicting performance(EAARE=0.058 and R2=0.97) in comparison with SVR. The obtained results indicate that the proposed model is more reliable and more precise than the multiple linear regression(MLR), SVR and PCA-SVR.

摘要：The low cycle fatigue behavior of zirconium−titanium−steel composite plate under symmetrical and asymmetric stress control was *** effects of mean stress and stress amplitude on cyclic deformation,ratcheting effect and damage mechanism were discussed in *** results show that under symmetric stress control,the forward ratcheting deformation is *** asymmetric stress control,the ratcheting strain increases rapidly with mean stress and stress amplitude *** high stress amplitude,the influence of mean stress is more *** addition,by studying the variation of strain energy density,it is found that the stress amplitude mainly promotes the fatigue damage,while the mean stress leads to the ratcheting *** addition,fractographic observation shows that the crack initiates in the brittle metal compound at the interface,and the steel has higher resistance to crack ***,the accuracy of life prediction model considering ratcheting effect is discussed in detail,and a high-precision life prediction model directly based on mean stress and stress amplitude is proposed.

摘要：Much like genomics, brain connectomics has rapidly become a core component of most national brain projects around the world. Beyond the ambitious aims of these projects, a fundamental challenge is the need for an efficient, robust, reliable and easy-to-use pipeline to mine such large neuroscience datasets. Here, we introduce a computational pipeline--namely the Connectome Compu- tation System （CCS）-for discovery science of human brain connectomes at the macroscale with multimodal magnetic resonance imaging technologies. The CCS is designed with a three-level hierarchical structure that includes data cleaning and preprocessing, individual connectome mapping andconnectome mining, and knowledge discovery. Several functional modules are embedded into this hierarchy to implement quality control procedures, reliability analysis and connectome visualization. We demonstrate the utility of the CCS based upon a publicly available dataset, the NKI- Rockland Sample, to delineate the normative trajectories of well-known large-scale neural networks across the natural life span （6-85 years of age）. The CCS has been made freely available to the public via GitHub （https：//***/ zuoxinian/CCS） and our laboratory＇s Web site （http：//lfcd. ***/***） to facilitate progress in discovery science in the field of human brain connectomics.

摘要：减轻组织的机械性压力在治愈糖尿病相关的足溃疡所需的多种干预措施中最为重要。本文是2023年国际糖尿病足工作组(IWGDF)发布的减压治疗促进糖尿病相关的足溃疡愈合的循证指南,也是对2019年IWGDF指南的更新。我们遵循推荐、评估、发展和评价分级(GRADE)方法学,以患者-干预-比较-结局(patient-intervention-control-outcome,PICO)模式设计临床问题和重要结果,进行系统评价和Meta分析,制定评判表汇总,为每个问题编写推荐和理由。每项推荐都是基于系统综述中发现的证据,在无证据情况下则采用专家意见,以及对判断项目的GRADE等级总结进行仔细权衡,包括可预期和不可预期的影响、证据的确定性、患者价值、所需资源、成本效益、公平性、可行性和可接受性。为了治愈糖尿病患者神经性前足底或中足底溃疡,要使用不可拆卸的齐膝高减压装置作为首选减压干预措施。如果患者存在对不可拆卸减压装置的禁忌证或不能耐受,考虑使用可拆卸齐膝(或踝)高减压装置作为减压干预措施的第二选择。如果无可用的减压装置,考虑使用合适的鞋具结合毡制泡沫作为减压干预措施的第三选择。如果这种非手术减压治疗不能治愈前足底溃疡,可以考虑跟腱延长术、跖骨头切除术、关节置换术或跖骨截骨术。为了治疗继发于屈趾畸形的神经性足底或小趾远端溃疡,可行趾屈肌腱切开术。为了促进后足、非足底或并发感染或缺血的溃疡的愈合,提出了进一步的推荐。所有推荐都已在减压临床路径中进行了总结,以帮助促进本指南在临床实践中的实施。这些减压推荐将帮助医务人员为糖尿病相关的足溃疡患者提供最佳的治疗和预后,降低患者感染、住院和截肢的风险。

摘要：This paper considers the design of EMAT （Electro-Magnetic Acoustic Transducer） based on numerical simulation. The EMAT consists of an exiting coil and two permanent magnets, which transmits the ultrasonic wave by the Lorentz force between the eddy current and the static magnetic field by the magnets. From the experimental result on self-prepared EMATs, the intensity and the directivity of the transmitted wave depend on the widths of the coil and the magnets. By means of EEM analysis the authors attempt to determine the optimal values of the above widths such that both the intensity and the directivity achieve the maximum or allowable performance.

摘要：可被蓝光激发的高热稳定性红色荧光粉是制作高性能白光二极管(WLED)的关键材料.研究发现,Ce^(3+)掺杂的SrLaScO_(4)(SLO:Ce^(3+))荧光粉在440 nm激发下呈现峰值为640 nm的反常宽带红光发射.光谱学和结构分析证实Ce^(3+)离子在SLO中进入[LaO_(8)]多面体,产生强的晶体场劈裂和较大的Stokes位移,实现了比Eu^(2+)更低能量的红光发射.我们还设计并揭示了一种电荷转移相互作用的策略:在Sc^(3+)位置引入电负性较大的Ga^(3+),Ga^(3+)可以吸引更多邻位配合基团的电荷,以减少导带底部的电子占用而扩大带隙.Sc/Ga取代有效地抑制了热激活电离过程,使SrLa(Sc,Ga)O_(4):Ce^(3+)的热稳定性获得了显著提升,即在150℃的发光强度比(相对于20℃)从15%提升至31%.本研究为发现具有良好热稳定性的新型Ce^(3+)掺杂红色荧光粉提供了有效的设计原则.

摘要：固体氧化物电池将在未来可再生能源储存转换系统中占据重要位置.但SOCs受制于低耐久度的影响,目前仍需在新材料开发和工程设计方面取得进一步的突破以实现商业化.这项研究报道了一个数据驱动的粉体-能量框架(Powder-to-power framework,P2PF),通过实现从制备到长时运行的异质电极形貌演化数字化,实现了对于整个生命周期的性能预测.首先通过参数分析阐明了微结构参数对于燃料电极长期性能的内在影响机制,发现合理控制离子导电相的体积分数不仅可以有效抑制镍粗化,还是减少镍迁移引起的欧姆损失增加的关键.电极初始性能和性能衰减率是多参数耦合作用的结果.所构建代理模型被应用于多目标遗传算法以提出简单可行的耐久度优化策略.数据驱动的粉体-能量框架确定了满足不同最大运行时长要求的最佳电极制备参数,并将镍基电极的降解率从基本工况下2.132%kh^(-1)降低到0.703%kh^(-1)(最大运行时长大于50000 h).

摘要：Cone snail venoms have been considered a valuable treasure for international scientists and businessmen, mainly due to theirpharmacological applications in development of marine drugs for treatment of various human diseases. To date, around 800Conus species are recorded, and each of them produces over 1,000 venom peptides (termed as conopeptides or conotoxins).This reflects the high diversity and complexity of cone snails, although most of their venoms are still *** multiomics (such as genomics, transcriptomics, and proteomics) approaches have been recently developed to minediverse Conus venom samples, with the main aim to predict and identify potentially interesting conopeptides in an efficientway. Some bioinformatics techniques have been applied to predict and design novel conopeptide sequences, related targets, andtheir binding modes. This review provides an overview of current knowledge on the high diversity of conopeptides andmultiomics advances in high-throughput prediction of novel conopeptide sequences, as well as molecular modeling and designof potential drugs based on the predicted or validated interactions between these toxins and their molecular targets.