树脂吸附法处理水杨酸甲酯生产废水的研究

采用吸附树脂NDA—99处理水杨酸甲酯生产废水，结果表明该树脂时废水中的5磺基水杨酸及水杨酸均具有良好的吸附—脱附性能．废水经预处理和吸附处理后，CODCr由57000-59000mg／L降至6300mg／L左右，去除率接近89％．用IBV8％NaOH 3BVH2O作脱附剂，在温度为60℃、流量为IBV／h的条件下，脱附率接近100％，树脂可重复使用．高浓度脱附液经酸化、浓缩、冷却结晶，可回收5—磺基水杨酸，回收率为95％左右。纯度为78％。     

化学键合吸附剂的合成及吸附行为

在无定型硅胶上化学键合十八烷基三氯硅烷，键合率17%-20％，粒度5μm-10μm，以此键合的吸附剂可有效地吸附香烟烟气中的焦油、亚硝胺，吸附率分别为15%-18％和37%-43％，研究了化学键合吸附剂的粒度和加入量对吸附性能的影响。     

超高交联吸附树脂吸附对硝基苯乙酮的热力学研究

比较两种超高交联聚苯乙烯吸附树脂NJ-8、AM-1与Amberlite XAD-4(以下简称XAD-4)对对硝基苯乙酮的静态吸附行为，根据吸附等温线研究了吸附热力学性质．在298～318K和研究的浓度范围内，NJ-8，AM-1、XAD-4对对硝基苯乙酮的吸附平衡数据符合Freundlich吸附等温方程．结果表明：吸附为放热过程，适当降低温度有利于吸附．计算了对硝基苯乙酮在NJ-8，AM-1、XAD-4树脂上的吸附焓变、自由能变，吸附熵变．对吸附行为作了合理的解释。     

后交联型St-DVB大孔吸附树脂对低级醇类的吸附性能研究

分别在静态和动态条件下研究了Friedel—Crafs后交联型聚苯乙烯-二乙烯基苯(St-DVB)大孔吸附树脂对水溶液中多种低级一元醇的吸附性能，测定静态吸附等温线和动态吸附曲线，并分别按照Langmuir和Freundlich模型进行拟合．结果显示，树脂对水中低浓度低级一元醇的吸附过程属于放热的物理吸附过程，树脂吸附能力随着一元醇碳原子数的增加，即分子内疏水基团质量的增加而增加；树脂对直链醇的吸附能力稍强于同分异构的支链醇．     

基于人工智能的威胁检测与防护系统

文中针对传统的基于签名匹配的威胁检测系统存在的局限,探讨了人工智能技术在网络安全防护中的应用。通过分析异常检测、恶意软件检测和自动化安全响应3个方面,阐明了机器学习和深度学习模型可以实现对未知威胁的检测和主动防御。研究认为,人工智能驱动的网络安全防护系统代表了技术发展的方向,但还需进一步的数据积累和模型优化,以实现更智能的商业安全产品的开发。     

车牌识别嵌入式系统的软硬件设计

作为交通信息服务系统的重要手段,车牌识别技术避免了人工操作存在的各种弊端。文中设计了车牌识别嵌入式系统的软硬件,该系统的整体框架主要包含3个模块,分别是OV7670摄像头、STM32单片机和TFT显示屏。为满足任务需求,设计了最小系统和电源模块等硬件;为解决传统投影法误差较大的问题,该系统在字符分割前会先对车牌区域进行识别,并采用上下投影的方式在有效区域内进行字符分割。实验表明,该系统可以实现车牌识别功能,且精确度较高。     

Tuning the band gap of the CIGS solar buffer layer Cd1-xZnxS (x=0—1) to achieve high efficiency

To evaluate the impact of zinc sulfate (ZnSO4) concentration on the structural properties of the films, Cd1-xZnxS thin films were formed on glass substrates using chemical bath deposition (CBD) in this study. The effect of ZnSO4 precursor concentration on the surface morphology, optical properties, and morphological structure of the Cd1-xZnxS films was investigated. To study the impact of zinc doping content on the performance metrics of Cu(In1-xGax)Se2 (CIGS) cells in the experimental group and to improve the buffer layer thickness, simulations were run using one-dimensional solar cell capacitance simulator (SCAPS-1D) software.     

Analysis of light propagation characteristic in the aero-optic flow field of cone-headed vehicle with side window

Aero-optic imaging deviation research is carried out for infrared-guided vehicle with cone-head side window, with a focus on the propagation characteristics of light in an aero-optic flow field. When the light entering the aero-optic flow field from the free-stream should be close to the normal, numerous data indicate that the light is refracted away from the normal. This paper divides the aero-optic flow field into two parts and uses the gas density distribution in the aero-optic flow field to ...     

能量注量对钛板激光着色的颜色变化影响研究北大核心CSCD

各种激光工艺参数共同作用影响激光彩色打标的结果,不同参数之间相互关系比较复杂。为了获得更优质颜色和基于TA2钛板上更全的激光着色色谱,本实验选用波长为1064 nm、最大输出功率为20 W的MOPA光纤激光器进行试验,通过分光测色仪对彩色样品的色彩、可见光谱进行采集分析。结果表明,通过简化参数间关系,以能量累计注量的变化量dQ产生的色差为依据,调节扫描速度、线间距、功率变化量dP来改变dQ大小,能够获得更丰富的颜色。     

Blood cell counting based on U-Net++ and YOLOv5

Clinical information about a variety of disorders is available through blood cell counting, which is usually done by manual methods. However, manual methods are complex, time-consuming and susceptible to the subjective experience of inspectors. Although many efforts have been made to develop automated blood cell counting algorithms, the complexity of blood cell distribution and the highly overlapping nature of some red blood cells (RBCs) remain significant challenges that limit the improvement of analytical accuracy. Here, we proposed an end-to-end method for blood cell counting based on deep learning. Firstly, U-Net++ was used to segment the whole blood cell image into several regions of interest (ROI), and each ROI contains only one single cell or multiple overlapping cells. Subsequently, YOLOv5 was used to detect blood cells in each ROI. Specifically, we proposed several strategies, including fine classification of RBCs, adaptive adjustment for non-maximal suppression (NMS) threshold and blood cell morphology constraints to improve the accuracy of detection. Finally, the detection outcomes for each ROI were combined and superimposed. The results show that our method can effectively address the issue of high overlap and precisely segment and detect blood cells, with a 98.18% accuracy rate for blood cell counting.