Engineered Science最新文献_第3页

Trapdoor Stability of Drained Cohesive-Frictional Soils Using Terzaghi’s Superposition Method 利用Terzaghi叠加法研究排水黏结摩擦土的活板门稳定性

Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es8d821

J. Shiau, Rungkhun Banyong, S. Keawsawasvong, V. Kamchoom

引用次数: 1

Early Detection of Late Onset Neonatal Sepsis Using Machine Learning Algorithms 使用机器学习算法早期检测晚发型新生儿败血症

Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es976

Roshan David Jathanna, Dinesh Acharya, Leslie Edward Lewis, Krishnamoorthi Makkithaya

{"title":"Early Detection of Late Onset Neonatal Sepsis Using Machine Learning Algorithms","authors":"Roshan David Jathanna, Dinesh Acharya, Leslie Edward Lewis, Krishnamoorthi Makkithaya","doi":"10.30919/es976","DOIUrl":"https://doi.org/10.30919/es976","url":null,"abstract":"Reducing newborn mortality by 2030 is a Sustainable Development Goals target 3.2. Neonatal sepsis is the third major cause of neonatal death after prematurity and birth asphyxia. Late-onset neonatal sepsis (LOS) refers to sepsis in neonates bet and is likely to be acquired from the environment rather than mate features are not evident in the initial stages of infection, early di Studies have shown that physiological parameters can predict L features. Clinicians can use these parameters as early warning sig and intervene earlier to prevent complications and provide e compares various machine learning algorithms to predict the ons signs, laboratory measurements, and observations captured within MIMIC III dataset. Experimental results show that adaptive boost random forest with Synthetic Minority Oversampling Technique receiver operating characteristic (AUROC) of 0.9248, 0.9245, and 0.9238, respectively, among all the algorithms evaluated using 10-fold stratified cross-validation. The soft voting classifier trained on an ensemble of the top three models predicted the onset of neonatal sepsis with an AUROC of 0.9266, accuracy of 0.8553, F1 score of 0.7829, and Matthew's correlation coefficient","PeriodicalId":36059,"journal":{"name":"Engineered Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136053641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic crosslinked silicones and their composites: A review 动态交联有机硅及其复合材料的研究进展

Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es8d815

Juan Ye, Hao Jin, Z. Zu, Ting Yu, Hongping Xiang, Mingqiu Zhang

引用次数: 0

Fault Detection and Classification for Voltage source converter -High Voltage Systems by Using Different Swarm Optimization Algorithms-Based Neural Network 基于不同群优化算法的神经网络在电压源变换器高压系统故障检测与分类中的应用

Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es884

Raad Salih Jawad, Hafedh Abid

引用次数: 0

Antioxidant Activity and Bioavailability of Humic Substances of Low-Mineralized Sulphide Mud 低矿化硫化物泥浆腐殖质抗氧化活性及生物利用度研究

Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es941

Kairbekov Zh.K., Suimbaeva S.M., Dzheldybaeva I.M., Esenalieva M.Z., Kairbekov A.Zh., Abil'mazhinova D.Z

{"title":"Antioxidant Activity and Bioavailability of Humic Substances of Low-Mineralized Sulphide Mud","authors":"Kairbekov Zh.K., Suimbaeva S.M., Dzheldybaeva I.M., Esenalieva M.Z., Kairbekov A.Zh., Abil'mazhinova D.Z","doi":"10.30919/es941","DOIUrl":"https://doi.org/10.30919/es941","url":null,"abstract":"Humic substances (HS) are natural compounds, the formation of which occurs in natural environments as a result of chemical and biological decomposition. HS make up from 60% to 80% of the organic matter of soil and aquatic environments. Therefore, we obtained samples of HS isolated from low-mineralized sulphide mud deposits of Tuzkol Lake (Republic of Kazakhstan) were obtained. HS samples have been characterized by instrumental methods: EPR spectroscopy and amperometry. Analysis of the concentration of paramagnetic centers shows that the minimum number of free radicals contains molecules of fulvic acids, and the maximum number of free radicals contains molecules of humic acids (HA) of peloids. The antioxidant activity and bioavailability of humic preparations in the form of sodium humates depending on the concentration of HS have been investigated. The information obtained indicates that HS have antioxidant activity and bioavailability, the value of which increases when the concentration of the solution grows. Dialysis of silver humate has been carried out in the presence of dimethyl sulfoxide (DMSO) at concentrations of 0.1; 1.0; 5.0 and 10% w/w. For HA and silver humate, a 10% concentration of DMSO is optimal, which allows a maximum yield of peloid preparations and a 1.6-fold increase in permeability. Dialysis of silver humate is 1.2 times more intensive than dialysis of HA. It has been shown that the change in the total content of antioxidants in various fractions of humic substances increases in the series","PeriodicalId":36059,"journal":{"name":"Engineered Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87666193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Deep Energy Efficient Hello Packet Scheduling for Ad Hoc Networks in Unmanned Aerial Vehicles 一种新的无人机Ad Hoc网络深度节能Hello分组调度方法

Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es8d843

Hemant Kumar Saini, K. Jain

引用次数: 1

Label-free SARS-CoV-2 Detection Platform Based on Surface-enhanced Raman Spectroscopy with Support Vector Machine Spectral Pattern Recognition 基于表面增强拉曼光谱和支持向量机光谱模式识别的无标签SARS-CoV-2检测平台

Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es8d862

Tieyi Li, Siddharth Srivastava, Jun Liu, Feng Li, Y. Kim, David T. W. Wong, A. Carlin, Yanrong Xie

引用次数: 0

Metallic state and negative permittivity in LaCo1-xNixO3 ceramics LaCo1-xNixO3陶瓷的金属态和负介电常数

Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es8d806

Zaixin Wei, Gongyu Zhang, Xiaoting Song, Yingjie Wang, Hengtong Wang, Muqi Gao, Huanrong Tian, W. Cai, Yao Liu, Zhongyang Wang, Zidong Zhang, R. Fan

引用次数: 0

Growth Stimulating and Fungicidal Properties of Succinic Acid Complexes with Silver, Copper and Boron Ions During Pre-Sowing Treatment of Soybean Seeds 大豆种子播前处理中琥珀酸与银、铜、硼离子配合物的促生长和杀真菌性能

Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es973

Sana K. Kabdrakhmanova, Ainur K. Kabdrakhmanova, Esbol Shaimardan, Kydyrmolla Akatan, Madiar M. Beisebekov, Bagadat S. Selenova, Roza A. Aubakirova, Aida Maussumbayeva, Sabu Thomas, Tulegen M. Seilkhanov

引用次数: 0

Effect of Deep Cryogenic Treatment on Microstructure, Mechanical Properties, and Residual Stress of AISI 52100 Bearing Steel 深冷处理对AISI 52100轴承钢组织、力学性能和残余应力的影响

Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es960

Fuat Kara, Adem Çiçek, Halil Demir

引用次数: 0