Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning

The spleen is one of the most frequently injured organs in blunt abdominal trauma. Computed tomography (CT) is the imaging modality of choice to assess patients with blunt spleen trauma, which may include lacerations, subcapsular or parenchymal hematomas, active hemorrhage, and vascular injuries. While computer-assisted diagnosis systems exist for other conditions assessed using CT scans, the current method to detect spleen injuries involves the manual review of scans by radiologists, which is a time-consuming and repetitive process. In this study, we propose an automated spleen injury detection method using machine learning. CT scans from patients experiencing traumatic injuries were collected from Michigan Medicine and the Crash Injury Research Engineering Network (CIREN) dataset. Ninety-nine scans of healthy and lacerated spleens were split into disjoint training and test sets, with random forest (RF), naive Bayes, SVM, k-nearest neighbors (k-NN) ensemble, and subspace discriminant ensemble models trained via 5-fold cross validation. Of these models, random forest performed the best, achieving an Area Under the receiver operating characteristic Curve (AUC) of 0.91 and an F1 score of 0.80 on the test set. These results suggest that an automated, quantitative assessment of traumatic spleen injury has the potential to enable faster triage and improve patient outcomes.     

A DNS study on temporally evolving jet flames of pulverized coal/biomass co-firing with different blending ratios

Biomass co-firing within the existing pulverized coal boiler is thought as a practical near-term way of biomass utilization, while its detailed combustion characteristics and pollutant formation have not yet been fully understood. In the present study, we report a Carrier-phase Direct Numerical Simulation study coupled with detailed mechanism to provide a deep insight into the coal/biomass co-firing (CBCF) jet flames under different blending ratios. It is found that compared with the pure coal flame, the CBCF could (i) prompt the volatiles ignition, produce higher H₂O and similar CO₂ mass fractions at blending ratios of 20% and 40%, and obviously reduce the gas temperature and CO₂ mass fraction at the blending ratio of 50%; (ii) prompt the coal devolatilization and char burnout at blending ratios of 20% and 40%, while the char burnout is reduced when blending ratio is 50% due to the local enrichment of large particles and lack of oxygen; (iii) reduce the thermal, prompt, NNH and N₂O-intermediate routes of NO formation, but show limited effect on the NO-reburning route of NO destruction, therefore, resulting in an obvious NO reduction.     

Facile and Scalable Synthesis of Si@void@C Embedded in Interconnected 3D Porous Carbon Architecture for High Performance Lithium-Ion Batteries

Si-based materials possess huge potential as an excellent anode material for Li-ion batteries. However, how to realize scalable synthesis of Si-based anode with a long cycling life and high-performance is still a critical challenge. Here a water-in-oil microemulsion process followed by UV illumination, calcination, and hydrothermal method to produce yolk-shell Si@void@C embedded in interconnected 3D porous carbon network architecture using silicon nanoparticles is reported. As a result, the sample Si@void@C/C-2 electrode has achieved a reversible capacity of 1160 mA h g⁻¹ at 0.2 A g⁻¹ after 300 cycles and a stable long cycling life of 480 mA h g⁻¹ at 1 A g⁻¹ after 1000 cycles. A full battery with the synthesized anode shows a capacity of 128 mA h g⁻¹ at 0.2 A g⁻¹ as well as good cycling stability after 1100th cycles. Such excellent electrochemical performance is ascribed to its unique structure, the yolk-shell void space, highly robust carbon shells and interconnected porous carbon nets that can improve the conductivity of the electrode, buffer the volume expansion, and also suppress Si nanoparticles stress variation. This water-in oil system makes it possible for mass production of environmentally friendly synthesis of core–shell structure.     

稀疏矢量阵信号栅瓣及对称伪峰干扰抑制

稀疏矢量阵进行宽带信号处理时,强目标的栅瓣及对称伪峰会干扰弱目标的检测,提出了一种基于理论干扰预测的加权抑制方法。方法利用矢量阵波束形成先获得强目标的波达方向(Direction Of Arrival,DOA)信息以及目标所在方位各频率的幅度谱信息,再利用理论计算公式获得强目标的栅瓣和对称伪峰角度上对应的各频率点的幅度谱强度信息,通过在方位、频率维度加权的方式对强目标的栅瓣和伪峰干扰进行抑制,来改善在强干扰下的弱目标检测能力。方法也适用于多目标情况,对各个目标依次使用,减少多目标时栅瓣和对称伪峰对方位历程的影响,净化了时间方位历程图。对所提方法给出了理论推导过程并进行了仿真和实验验证,实验结果验证可行。结果表明,新方法可以有效地抑制强目标的栅瓣和对称伪峰干扰,提高弱目标的检测能力,此外,净化后的时间方位历程图更利于弱目标检测和目标数量的估计。      

在大学物理教学中培养学生的批判性思维能力--浅析开放性提问的作用

具有独立思考和批判性思维能力对于提高创新能力具有重要作用,但目前大学普通物理教学还侧重于知识的传授,缺少对学生批判性思维能力的培养和重视.本文从开放性提问的角度出发,阐述了如何在大学物理教学中培养学生独立思考的习惯和批判性思维的能力.文章举例分析了在科学历史、课程习题、演示实验和工程案例中挖掘开放性问题,通过以学为中心的课堂问答,激发学生学习热情和兴趣,增强课程的探索性和趣味性,从而达到提高学生批判思维能力的目的.     

56,54Fe(n, α)53,51Cr, 56,54Fe(n,p)56,54Mn反应截面计算及普适性模型参数优化研究

基于中子与Fe发生反应产生“氢泡”,及“氦泡”对新型核能利用系统壁材料的影响,开展了中子诱发56,54Fe(n, α)53,51Cr, 56,54Fe(n, p)56,54Mn反应截面计算研究工作。本工作根据现有的56,54Fe(n, α)53,51Cr, 56,54Fe(n, p)56,54Mn反应实验数据、评价数据,对TALYS程序调用的物理模型(包括能级密度、对修正、核温度、光学势参数等)进行参数调校,得到了一组普适性强的模型参数。基于调校的参数,本工作采用核反应程序TALYS理论计算56,54Fe(n, α)53,51Cr, 56,54Fe(n, p)56,54Mn反应的截面、能量微分截面以及双微分截面,全部数据都能与实验数据、评价数据符合较好,且适用于较宽的中子能量区间0~175 MeV。本工作提出了56,54Fe(n, α)53,51Cr, 56,54Fe(n, p)56,54Mn反应的普适性模型参数,促进了核反应理论的发展,为核数据的评价奠定了基础。     

驱动马达定向运动的随机动力学模型

本文在非对称周期势中考虑驱动马达的机械化学耦合,基于布朗马达的工作原理,利用MATLAB数值模拟驱动马达在一定实验条件下的运动特征.我们首先模拟了单个驱动马达的位移和速度随时间变化的图像,然后分别计算了多个驱动马达运动的平均速度,最后计算了不同负载力条件下马达运动速度的系综平均值.模拟结果表明驱动马达在定向运动中存在等待态和行走态,行走步长约为8.2nm,且马达运动具有一定的随机性.通过与实验比较,发现模型计算结果与实验吻合.     

不同翅片单元外颗粒流换热特性的数值研究

由于成本低,运行稳定,重力驱动移动床在高温固体散料余热回收领域应用潜力较大。然而,相关强化传热技术目前仍待完善。本文基于离散单元法,对颗粒流外掠翅片单元的流动换热特性进行了数值研究。研究表明:通过翅片增加换热面,可以显著提高传热量,但不同翅片单元外颗粒流传热特性不同。颗粒流与不同表面的换热,由颗粒更新、颗粒接触、颗粒竞争掺混以及表面面积共同决定。总体来说,在迎流区,倾斜平表面能扩大面积并确保颗粒更新,更有利于换热增强。而对于背流区,竞争掺混与颗粒接触的影响更大,采用圆弧表面更有优势。     

一种“冻地”鸡血石相似玉石的宝石学及谱学研究

研究对象是一种与“冻地”鸡血石外观高度相似的玉石,该种玉石半透明“地”中含有橙红色矿物。利用X射线粉晶衍射仪、扫描电子显微镜、红外光谱仪、拉曼光谱仪对该玉石的宝石学及谱学特征进行研究。结果表明：该玉石“地”的主要组成矿物为有序度较高的地开石、橙红色矿物为雄黄;地开石晶体为自形假六边形片状,约15～20 μm,厚2～4 μm,粒径均一且形态一致,集合体在三维空间无序排列;部分样品“地”中含有少量黄铁矿、萤石、石英、方解石等矿物。“地”的红外光谱指纹区具有高岭石族矿物的主要特征峰,分别位于430,470,540,698,755,795,913,937,1 002,1 034和1 118 cm-1;官能团区以3 622,3 653和3 706 cm-1处的吸收峰为特征,3 622 cm-1吸收峰由内羟基OH1的面内伸缩振动引起,3 653 cm-1归属于内表面羟基OH2和OH4的同相伸缩振动;从高频峰到低频峰强度依次增大,且内表面羟基OH3伸缩振动引起的吸收峰位于3 706 cm-1,表明“地”为有序地开石;拉曼光谱测试表明“血”为雄黄,具有186,222,235,273,346和355 cm-1的特征拉曼位移,其中186和222 cm-1归属于S-As-S的弯曲振动,346和355 cm-1由As-S的伸缩振动引起;拉曼光谱同样可用于“地”的矿物组成研究,低频区具有133,241,266,336,436,463,747,792和914 cm-1的高岭石族矿物的特征位移,高频区可见三个与红外光谱相似的阶梯状谱峰,3 624 cm-1强度最大,归属于OH1的伸缩振动,次强峰3 646 cm-1由OH2和OH4的同相伸缩振动引起,归属于OH3的伸缩振动峰强度最小且位于3 706 cm-1,高频区拉曼位移特点指示“地”为地开石,且有序度较高,与红外光谱测试结论一致。尽管研究样品的“地”与“冻地”鸡血石的主要组成矿物相同,为地开石,且具有外观细腻、温润等特点,但其“血”并非辰砂而是雄黄,所以不应与鸡血石混淆,其正确的珠宝玉石名称应为“粘土矿物质玉”。     

核磁共振磁体超导接头工艺研究进展

高度稳定的磁场对于核磁共振（NMR）波谱仪至关重要.为了保持磁场的稳定性,高质量的超导接头必不可少.它在过去几十年中,受到NMR超导磁体研究人员的广泛关注.本文从五个部分介绍了超导接头技术的研究进展：第一部分简要介绍了NMR超导磁体和超导接头的发展;第二部分概述了低温超导体材料之间超导接头的研究进展;第三部分介绍了高温超导体材料之间的接头;第四部分讨论了有关超导接头电阻的测量技术;最后,提出了对超导接头技术研究的展望.