Modelling a Fused Deep Network Model for Pneumonia Prediction

Deep Learning (DL) is known for its golden standard computing paradigm in the learning community. However, it turns out to be an extensively utilized computing approach in the ML field. Therefore, attaining superior outcomes over cognitive tasks based on human performance. The primary benefit of DL is its competency in learning massive data. The DL-based technologies have grown faster and are widely adopted to handle the conventional approaches resourcefully. Specifically, various DL approaches outperform the conventional ML approaches in real-time applications. Indeed, various research works are reviewed to understand the significance of the individual DL models and some computational complexity is observed. This may be due to the broader expertise and knowledge required for handling these models during the prediction process. This research proposes a holistic approach for pneumonia prediction and offers a more appropriate DL model for classification purposes. This work incorporates a novel fused Squeeze and Excitation (SE) block with the ResNet model for pneumonia prediction and better accuracy. The expected model reduces the human effort during the prediction process and makes it easier to diagnose it intelligently as the feature learning is adaptive. The experimentation is carried out in Keras, and the model’s superiority is compared with various advanced approaches. The proposed model gives 90% prediction accuracy, 93% precision, 90% recall and 89% F1-measure. The proposed model shows a better trade-off compared to other approaches. The evaluation is done with the existing standard ResNet model, GoogleNet+ResNet+DenseNet, and different variants of ResNet models.     

新型冠状病毒肺炎防控中的伦理问题

突发性公共卫生紧急事件对于所有国家或地区来说都是个巨大的挑战,任何一个国家或地区都不可能事先准备充足,如何有效防控疫情传播对中国乃至整个国际社会都是一个前所未有的挑战。本文认为,中国政府目前的防控措施和努力是有效的和重要的,预防和控制必须取得迅速发展,但不能忽视伦理要求。事实上,良好的伦理措施有助于取得长久的预防和控制目的。基于疫情的现状,我们提出了六个伦理要点,希望进一步激发有关如何实施疾病预防控制措施的对话,从而更好地保护公共安全,保护个人隐私,防止耻辱和歧视,引导社会遵守生命伦理的基本价值。     

CT技术的发展与其在医学上的应用

本文简要介绍了CT技术的原理以及其发展过程,并详细介绍了其在医学上的相关应用,可以给想要掌握CT领域现有技术的人群提供一定参考。     

从医院单体到健院街区——生活习惯病时代大型医院的设计方法探讨

本文认为,通过借鉴商业建筑在总体布局、建筑单体、室外空间等方面设计经验,有助于大型医院实现＂从医院向健院＂以及 ＂从单体向街区＂的转变。论文依据该理念给出了一个具体的设计案例。     

Major histocompatibility complex (MHC) markers in conservation biology

Human impacts through habitat destruction, introduction of invasive species and climate change are increasing the number of species threatened with extinction. Decreases in population size simultaneously lead to reductions in genetic diversity, ultimately reducing the ability of populations to adapt to a changing environment. In this way, loss of genetic polymorphism is linked with extinction risk. Recent advances in sequencing technologies mean that obtaining measures of genetic diversity at functionally important genes is within reach for conservation programs. A key region of the genome that should be targeted for population genetic studies is the Major Histocompatibility Complex (MHC). MHC genes, found in all jawed vertebrates, are the most polymorphic genes in vertebrate genomes. They play key roles in immune function via immune-recognition and -surveillance and host-parasite interaction. Therefore, measuring levels of polymorphism at these genes can provide indirect measures of the immunological fitness of populations. The MHC has also been linked with mate-choice and pregnancy outcomes and has application for improving mating success in captive breeding programs. The recent discovery that genetic diversity at MHC genes may protect against the spread of contagious cancers provides an added impetus for managing and protecting MHC diversity in wild populations. Here we review the field and focus on the successful applications of MHC-typing for conservation management. We emphasize the importance of using MHC markers when planning and executing wildlife rescue and conservation programs but stress that this should not be done to the detriment of genome-wide diversity.     

超声心动图评价左室舒张功能的临床价值

目的：探讨超声心动图评价左室舒张功能的临床价值,为临床诊断治疗提供一定的依据。方法：选择我院来进行超声心动图检查的患者97例．其中正常人31例。高血压患者36例,冠心病患者30例,应用彩色多普勒超声心动图测定所选患者的E峰速度、A峰速度、E／A比值、E峰减速时间（DT）等,并比较。结果：冠心病组与高血压组间的E峰速度、A峰速度、E／A比值、E峰减速时间（DT）无明显差异（P〉0．05）,冠心病组、高血压组的E峰速度、E／A比值明显低于正常对照组．A峰速度及E峰减速时间（DT）明显高于正常对照组,差异显著（P〈0．05）。结论：超声心动图在临床诊断左室舒张功能上有一定的价值,E峰速度、A峰速度、E／A比值、E峰减速时间（DT）等指标与左室舒张功能障碍有明显的相关性．值得临床关注。     

四线涡轮式慢阻肺健康监护系统研究

针对传统涡轮式肺活量计存在检测精度不高、可靠性差的问题,该文提出一种新颖的四线涡轮式检测方法,研制了一款高精度、高可靠性的慢阻肺监护系统。在硬件上,根据四线涡轮式检测方法设计了四线式呼气采集电路,提高了光路接收分辨率,并通过合理的元器件布置,减少了发光-光敏二极管相互间串扰,提高了系统的可靠性;在软件上,采用线性回归算法对其脉冲计数与分析得到用力肺活量、峰值流速等早期筛查与诊断指标。该系统利用标准Fluke气流分析仪的进行了数据标定,与传统医用涡轮式肺功能仪测试对比：用力肺活量平均相对误差由1.98%降低至1.47%;峰值流速平均相对误差由2.04%降低至1.02%。实验表明,四线涡轮式慢阻肺监护系统的呼气指标比传统慢阻肺系统检测精度更高,可靠性更好,适用于慢阻肺疾病的早期筛查与精准诊断,结合血氧饱和度、呼气末二氧化碳等指标,能实现对慢阻肺患者的医疗监护,特别对于中度和重度慢阻肺患者能起到预警和控制病情的作用。

     

高校人群心理健康探微

本文论述了心理健康与疾病的关系，着重进行了高校人群心理健康的研究，并对如何防止高校人群心理疾病提出了自己的见解。     

香蕉冠网蝽Stephanitis typicus Distant传播香蕉簇矮病害的研究

本研究用生物测定和电镜检验的方法,探讨香蕉簇矮病害的介体昆虫。试验结果表明:香蕉冠网蝽在病株上获毒饲育3～5天后,就能把病原传给健康植株,传毒饲育约5～7天,循回期约4～12天,潜育期约34～120天。解剖在病株上取食的介体昆虫的唾腺,可观察到典型的大量的不规则的MLO,与病株叶脉维管束韧皮部筛管细胞内看到的病原是相同的。因此,可以证明香蕉冠网蝽是香蕉簇矮病害的媒介昆虫。