视觉对比度机制小目标增强与背景抑制综述北大核心CSCD

复杂背景中的红外弱小目标因亮度低、尺寸小、可用特征少而难以检测。如何在检测中抑制背景杂波、提高目标信噪比成为该领域的研究热点与难点。本文对基于人类视觉系统对比度机制的小目标增强与背景抑制技术的演进和性能进行了归纳与分析。局部对比度测度窗口由单尺度向多尺度,乃至动态或自适应尺度的发展,满足应用中对未知尺寸小目标同步快速检测的需要;局部对比度测度计算方法由简单到复杂、依据低阶信息到采用高阶信息的变化,有利于更全面地抑制复杂背景、进一步增强目标。因此,将成为未来人类视觉对比度机制小目标检测算法的发展方向。     

能量耦合模型的飞秒激光烧蚀面齿轮形貌研究北大核心CSCD

飞秒激光精微加工面齿轮材料18Cr2Ni4WA是去除材料的先进制造方法。本文依据烧蚀凹坑的深度与宽度和激光能量密度的关系得到材料的烧蚀阈值和影响重叠率的因素。考虑齿轮材料成分间互温感应效应与多脉冲激光累积效应,建立材料的能量复耦合模型。通过改变激光能量密度和脉冲数,研究飞秒激光烧蚀凹坑及齿面形貌表面的变化规律,得出脉冲数对烧蚀效果影响小,激光能量密度为1.730 J/cm2激光功率为1.9 W脉冲数N=3000进行烧蚀效果最好可得到最优的实际烧蚀面深度为17.604μm。     

自适应卷积神经网络在面部表情识别中的应用

针对无法对面部表情进行精确识别的问题,提出了基于ResNet50网络融合双线性混合注意力机制的网络模型。针对传统池化算法造成图像特征提取残缺、模糊等问题,提出了一种基于Average-Pooling算法的自适应池化权重算法,同时基于粒子群算法对卷积神经网络模型超参数进行自适应调节,从而进一步提升模型识别精度。基于改进的网络模型,设计了一款实时面部表情识别系统。经验证,在Fer2013数据集和CK+数据集上,改进的模型在测试集中的识别精度分别为73.51%和99.86%。     

In Situ Polymerizing Internal Encapsulation Strategy Enables Stable Perovskite Solar Cells toward Lead Leakage Suppression

Despite the outstanding power conversion efficiency (PCE) of perovskite solar cells (PSCs) achieved over the years, unsatisfactory stability and lead toxicity remain obstacles that limit their competitiveness and large-scale practical deployment. In this study, in situ polymerizing internal encapsulation (IPIE) is developed as a holistic approach to overcome these challenges. The uniform polymer internal package layer constructed by thermally triggered cross-linkable monomers not only solidifies the ionic perovskite crystalline by strong electron-withdrawing/donating chemical sites, but also acts as a water penetration and ion migration barrier to prolong shelf life under harsh environments. The optimized MAPbI₃ and FAPbI₃ devices with IPIE treatment yield impressive efficiencies of 22.29% and 24.12%, respectively, accompanied by remarkably enhanced environmental and mechanical stabilities. In addition, toxic water-soluble lead leakage is minimized by the synergetic effect of the physical encapsulation wall and chemical chelation conferred by the IPIE. Hence, this strategy provides a feasible route for preparing efficient, stable, and eco-friendly PSCs.     

In Situ Artificial Hybrid SEI Layer Enabled High-Performance Prelithiated SiOx Anode for Lithium-Ion Batteries

Considered the promising anode material for next-generation high-energy lithium-ion batteries, SiO_x has been slow to commercialize due to its low initial Coulombic efficiency (ICE) and unstable solid electrolyte interface (SEI) layer, which leads to reduced full-cell energy density, short cycling lives, and poor rate performance. Herein, a novel strategy is proposed to in situ construct an artificial hybrid SEI layer consisting of LiF and Li₃Sb on a prelithiated SiO_x anode via spontaneous chemical reaction with SbF₃. In addition to the increasing ICE (94.5%), the preformed artificial SEI layer with long-term cycle stability and enhanced Li⁺ transport capability enables a remarkable improvement in capacity retention and rate capability for modified SiO_x. Furthermore, the full cell using Li(Ni_0.8Co_0.1Mn_0.1)O₂ and a pre-treated anode exhibits high ICE (86.0%) and capacity retention (86.6%) after 100 cycles at 0.5 C. This study provides a fresh insight into how to obtain stable interface on a prelithiated SiO_x anode for high energy and long lifespan lithium-ion batteries.     

成都市PM2.5、PM10变化特征及其与气象因素的关系

为研究气象因素对成都市大气细颗粒物 (PM2.5)、可吸入颗粒物 (PM10) 的影响, 收集了2015―2018 年成都市 PM2.5、PM10的月平均浓度, 采用Pearson 相关分析法, 分析了成都市PM2.5、PM10与气象条件的关系。结果表明： (1) 2015 ―2018 年, 成都市PM2.5、PM10年平均浓度虽然年际间差别较小, 但整体呈现逐年缓慢下降趋势, 2015 年以来成都市的 一系列大气污染控制措施是PM2.5、PM10逐年缓慢下降的原因; 2015―2018 年成都市PM2.5、PM10浓度季节变化特征整体 表现为冬季 > 春季 > 秋季> 夏季。(2) 不同气象因素对成都市PM2.5、PM10月平均浓度的影响程度不同, 降水量与气温 是影响成都市PM2.5、PM10月平均浓度的主要因素, 两者与PM2.5、PM10呈较高的负线性相关, 其中PM2.5、PM10与降水量 的相关系数均为 −0.612, 与月平均气温的相关系数分别为 −0.822、−0.776, 降水会通过捕获大气中的颗粒物来去除 PM2.5、PM10, 而温度的升高会加强PM2.5、PM10等污染物在垂直方向上的对流运动, 从而对成都市污染物浓度的降低起 到重要作用; 日照时数、月平均风速、相对湿度等与PM2.5、PM10月平均浓度整体也呈现负相关, 但与降水量和气温相 比, 日照时数、月平均风速与PM2.5、PM10月平均浓度的相关性较低, 而相对湿度与PM2.5、PM10月平均浓度的相关性则 更加微弱, 表明相对湿度的变化对成都市PM2.5、PM10的积累和扩散影响很小。     

The research on channel estimation and signal-noise ratio estimation based on minimum error entropy kalman filter for single carrier frequency domain equalization system

In this paper, the channel estimation and signal-to-noise ratio (SNR) estimation technique of single-carrier frequency domain equalization (SC-FDE) system under low SNR in aeronautical multipath channel are studied, a SNR estimation algorithm which is easy to implement in engineering and an improved LS channel estimation algorithm based on Kalman filter using minimum error entropy (MEE-KF) are proposed. This paper first introduces the SC-FDE system and introduces the principle of MEE-KF, and then, the channel estimation flow based on MEE-KF is obtained by combining it with the traditional LS channel estimation algorithm, which makes the estimation results perform better. Simulation results show that after getting more accurate noise variance, the channel estimation results can better follow the changes of the channel after MEE-KF processing, so as to resist the doppler frequency offset effect and make the channel estimation results more accurate, that is the channel response results of the data part can be closer to the real situation, so that the communication performance of SC-FDE system has also been greatly improved.     

A Phase Engineering Strategy of Perovskite-Type ZnSnO3:Nd for Boosting the Sonodynamic Therapy Performance

The sensitization performance of sonosensitizers plays a key role in the sonodynamic therapy (SDT) effect. Herein, ZnSnO₃:Nd nanoparticles with R3c phase/amorphous heterogeneous structure are developed by phase engineering strategy and applied as an ideal sonosensitizer. In the crystalline perovskite-type ZnSnO₃:Nd, the substitution of the Zn²⁺ with Nd³⁺ causes the O 2p non-bonded state to move toward the Fermi level, which optimizes the band structure for ultrasound sensitization by reducing bandgap. Meanwhile, the unequal charge substitution can also form electron traps and oxygen vacancies to shorten the electron migration distance, which accelerates the electron–hole separation and inhibits carrier recombination, thus improving the acoustic sensitivity. Moreover, the dangling bonds exposed on the surface of amorphous ZnSnO₃:Nd provide more active sites, and the localized states of the amorphous phase may also promote carrier separation, resulting in synergistic SDT effect. In particular, the Zn²⁺ released from ZnSnO₃:Nd in the acidic tumor microenvironment (TME) reduces the adenosine triphosphate production by inhibiting the electron transport chain , which promotes the tumor cell apoptosis through destroying the redox balance of TME. Combining the inherent second near infrared and computed tomography imaging capabilities, this ZnSnO₃:Nd nanoplatform shows a promising perspective in clinic SDT field.     

Glycyrrhetinic Acid Liposomes Encapsulated Microcapsules from Microfluidic Electrospray for Inflammatory Wound Healing

In diabetic wound healing, M1 macrophage accumulation and elevated inflammation are prevalent issues. Intelligent delivery systems that can sustainably release antioxidizing and anti-inflammatory ingredients are expected for effective wound healing. Herein, a novel glycyrrhetinic acid (GA) liposomes encapsulated microcapsules delivery system that has desired features for inflammatory wound repair is presented. As the bacteria could break down the alginate shells, the GA liposomes could be controllably released from the microcapsules, which promotes M2 macrophage polarization and regulate their responses in the inflammatory wound microenvironment. Based on these, it is demonstrated that the GA liposomes encapsulated microcapsules delivery system exhibits an anti-inflammatory and immunomodulatory effect for diabetic wound healing in a full-thickness defect model in diabetic rats. These results indicate that the immunomodulatory capabilities of the microcapsules can be unitized for efficient wound repair, and such a delivery system is valuable for clinical wound healing applications.     

Photothermal Heating-Assisted Superior Antibacterial and Antibiofilm Activity of High-Entropy-Alloy Nanoparticles

Antibacterial elements and non-contact heating abilities have been proven effective for antibacterial and antibiofilm activities, but it remains a challenge to integrate both within one material. Herein, assisted by the high-entropy effect, FeNiTiCrMnCu_x high-entropy alloy nanoparticles (HEA-NPs) with excellent photothermal heating properties for boosting antibacterial and antibiofilm performances are synthesized. Benefitting from the synergetic effect of copper ions released and thermal damage by the HEA-NPs, more reactive oxygen species (ROS) are generated, leading to the rupture of the cell membranes and the eradication of the biofilms. As a result, the antibiofilm efficiency (400 µg mL⁻¹) of the mostly optimized FeNiTiCrMnCu_1.0 HEA-NPs in the marine nutrient medium, which is the worst-case scenario for the antimicrobial material, can be improved from 81% to 97.4% under 30 min solar irradiation (1 sun). The present study demonstrates a new strategy for effectively treating marine microorganisms that cause biofouling and microbial corrosion using HEA-NPs with photothermal heating characteristics as an antibacterial auxiliary.