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Deep Learning ResNet101 Deep Features of Portable Chest X-Ray Accurately Classify COVID-19 Lung Infection

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Computers, Materials & Continua 2023年第6期75卷 5213-5228页

作者： Sobia Nawaz Sidra Rasheed Wania Sami Lal hussain Amjad Aldweesh Elsayed Tag eldin Umair Ahmad Salaria Mohammad shahbaz Khan Basic Health Unit Sumra Lodhran59320Pakistan Basic Health Unit 20-G ChishtianBahawalnagar62300Pakistan Doctor’s Hospital Lahore54590Pakistan Department of Computer Science&IT Neelum CampusThe University of Azad Jammu and KashmirAthmuqam13230Azad KashmirPakistan Department of Computer Science&IT King Abdullah CampusThe University of Azad Jammu and KashmirMuzaffarabad13100Azad KashmirPakistan College of Computer science and information technology Shaqra UniversityShaqra15273Saudi Arabia Faculty of Engineering and Technology Future University in EgyptNew Cairo11835Egypt Department of Electrical Engineering University of Azad Jammu and KashmirChehla CampusMuzaffarabad13100Azad KashmirPakistan Department of Electrical Engineering Mirpur University of Science&TechnologyMirpurMuzaffarabad10250Azad KashmirPakistan Children’s National Hospital 111 Michigan AVE NWWashingtonDC20854USA

This study is designed to develop Artificial Intelligence(AI)based analysis tool that could accurately detect COVID-19 lung infections based on portable chest x-rays(CXRs).The frontline physicians and radiologists suffer from grand challenges for COVID-19 pandemic due to the suboptimal image quality and the large volume of *** this study,AI-based analysis tools were developed that can precisely classify COVID-19 lung *** available datasets of COVID-19(N=1525),non-COVID-19 normal(N=1525),viral pneumonia(N=1342)and bacterial pneumonia(N=2521)from the Italian Society of Medical and Interventional Radiology(SIRM),Radiopaedia,The Cancer Imaging Archive(TCIA)and Kaggle repositories were taken.A multi-approach utilizing deep learning ResNet101 with and without hyperparameters optimization was ***,the fea-tures extracted from the average pooling layer of ResNet101 were used as input to machine learning(ML)algorithms,which twice trained the learning *** ResNet101 with optimized parameters yielded improved performance to default *** extracted features from ResNet101 are fed to the k-nearest neighbor(KNN)and support vector machine(SVM)yielded the highest 3-class classification performance of 99.86%and 99.46%,*** results indicate that the proposed approach can be bet-ter utilized for improving the accuracy and diagnostic efficiency of *** proposed deep learning model has the potential to improve further the efficiency of the healthcare systems for proper diagnosis and prognosis of COVID-19 lung infection.

关键词： COVID-19 deep learning(DL) lung infection convolutional neural network(CNN)

Enzymatic production of N‑acetylneuraminic acid:advances and perspectives

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Systems Microbiology and Biomanufacturing 2022年第1期2卷 130-146页

作者： Muhammad Iftikhar hussain Xiaolong Zhang Xueqin Lv Samra Basharat Umar shahbaz Jianghua Li Guocheng Du Long Liu Yanfeng Liu Key Laboratory of Carbohydrate Chemistry and Biotechnology Ministry of EducationJiangnan UniversityWuxi 214122China Science Center for Future Foods Jiangnan UniversityWuxi 214122China

N-Acetyl-d-neuraminic acid(NeuAc),a well-known and well-studied sialic acid,is found in cell surface glycolipids and glycoproteins,where it performs a variety of biological *** use of NeuAc as a nutraceutical for infant brain development and as an intermediate for pharmaceutical production demands its production on an industrial *** extraction,chemical synthesis,enzymatic synthesis,and biosynthesis are the methods used for NeuAc *** these methods,enzymatic synthesis using N-acetyl-glucosamine(GlcNAc)2-epimerase(AGE)for epimerization and N-acetyld-neuraminic acid lyase(NAL)for aldol condensation,has been reported to produce NeuAc with high production *** this review,we discuss advances in the two-step enzymatic synthesis of NeuAc using pyruvate and GlcNAc as *** major challenges in producing NeuAc with high yield are highlighted,including multiple parameter-dependent processes,undesirable reversibility,and diminished solubility of AGEs and ***,diferent strategies applied to overcome the limitations of the two-step enzymatic production are discussed,such as pyruvate concentration and temperature shift during the process to increase conversion yield,use of mathematical and computational simulations for process optimization,enzyme engineering to make enzymes highly efcient,and the use of tags and chaperones to increase enzyme *** suggest future directions and the strategies that can be followed to improve enzymatic synthesis of NeuAc.

关键词： N-Acetyl-d-neuraminic acid Enzymatic synthesis N-Acetyl-d-neuraminic acid lyase N-Acetyl-glucosamine 2-epimerase

Surface Analysis Correlated with Structural and Mechanical Properties of Laser Irradiated Brass

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Materials Sciences and Applications 2015年第1期6卷 23-32页

作者： shahbaz Ahmad Shazia Bashir Daniel Yousaf Nisar Ali Tousif hussain Center for Advanced Studies in Physics Government College University Lahore Pakistan

Brass targets were irradiated with various laser pulses of Excimer laser ranging from 1200 to 3000 for constant fluence of 3.4 J/cm2 in oxygen atmosphere (100 Torr). The surface morphology and crystallographic analyses were performed by using Scanning Electron Microscope (SEM) and X-Ray Diffractometer (XRD). SEM analysis reveals the formation of laser-induced micro-sized cavities, bumps, cones and wave-like ridges with non-uniform shape and density distribution. These features are formed for all number of pulses;however with increasing number of pulses from 1200 to 2400, the density of cavities decreases whereas, the wave-like ridges become more pronounced and bump-formation is vanished. For maximum number of 3000 shots, the appearance of cones and wave-like ridges becomes diffusive, whereas the density and size of cavities increase again. XRD analysis demonstrates that no new phases are formed in irradiated brass. However, the change in peak intensity along with lower and higher angle shifting is observed which is attributed to generation of laser induced stresses. The Yield Stress (YS), Ultimate Tensile Strength (UTS) as well as Microhardness increase monotonically with increasing number of laser pulses.

关键词： Laser Pulses Surface Morphology Mechanical Properties Crystallographic Alteration

TOL6BL突变导致减数分裂程序性DNA双链断裂无法产生和人类不孕

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Science Bulletin 2020年第24期65卷 2120-2129,M0006页

作者：焦玉莹樊岁兴 Nazish Jabeen 张欢 Ranjha Khan Ghulam Murtaza 蒋涵玮 Asim Ali 李阳鲍坚强张贝贝徐建泽许波 Hafiz Muhammad Jafar hussain Qumar Zaman Ihsan Khan Ihtisham Bukhari Furhan Iqbal Ayesha Yousaf Sobia Dil Manan Khan Niaz Ahmad 马慧江小华张远伟史庆华 First Affiliated Hospital of University of Science and Technology of China Hefei National Laboratory for Physical Sciences at Microscalethe CAS Key Laboratory of Innate Immunity and Chronic DiseaseSchool of Basic Medical SciencesDivision of Life Sciences and MedicineCAS Center for Excellence in Molecular Cell ScienceCollaborative Innovation Center of Genetics and DevelopmentUniversity of Science and Technology of ChinaHefei 230027China Institute of Pure and Applied Biology Zoology DivisionBahauddin Zakariya UniversityMultan 60800Pakistan shahbaz Sharif District Hospital Multan 60800Pakistan

我们找到一个近亲婚配后代不育家系,该家系有3位非梗阻性无精子症患者和1位原因不明的女性不孕患者.全外显子组测序结合Sanger测序分析发现TOP6BL的c.483dup T突变在该家系中与不孕呈隐性共分离.正常的TOP6BL可与SPO11β结合进而导致减... 详细信息

我们找到一个近亲婚配后代不育家系,该家系有3位非梗阻性无精子症患者和1位原因不明的女性不孕患者.全外显子组测序结合Sanger测序分析发现TOP6BL的c.483dup T突变在该家系中与不孕呈隐性共分离.正常的TOP6BL可与SPO11β结合进而导致减数分裂程序性DNA双链断裂(DSBs)产生,而该突变破坏了二者的结合.对家系中一位男患者的精母细胞进行分析,发现其同源染色体联会异常,减数分裂不能到达粗线期,且染色体轴上缺少减数分裂重组蛋白RPA和DMC1信号,表明其减数分裂程序性DSBs未能产生.我们制备了携带类似患者突变的小鼠,发现突变雄鼠具有与男患者相同的减数分裂异常,突变雌鼠不孕,其卵母细胞中程序性DSBs和减数分裂重组也不能发生,卵母细胞不能成熟.这些发现表明TOP6BL突变可导致人类不孕,为相关不孕不育患者的病因诊断和人工辅助生殖胚胎的遗传检查提供了分子标靶.

关键词：全外显子组测序非梗阻性无精子症病因诊断近亲婚配染色体联会 DNA双链断裂减数分裂异常精母细胞