J. Shiau, Rungkhun Banyong, S. Keawsawasvong, V. Kamchoom
{"title":"Trapdoor Stability of Drained Cohesive-Frictional Soils Using Terzaghi’s Superposition Method","authors":"J. Shiau, Rungkhun Banyong, S. Keawsawasvong, V. Kamchoom","doi":"10.30919/es8d821","DOIUrl":"https://doi.org/10.30919/es8d821","url":null,"abstract":"","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":"91028323","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}
Roshan David Jathanna, Dinesh Acharya, Leslie Edward Lewis, Krishnamoorthi Makkithaya
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
{"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}
Juan Ye, Hao Jin, Z. Zu, Ting Yu, Hongping Xiang, Mingqiu Zhang
{"title":"Dynamic crosslinked silicones and their composites: A review","authors":"Juan Ye, Hao Jin, Z. Zu, Ting Yu, Hongping Xiang, Mingqiu Zhang","doi":"10.30919/es8d815","DOIUrl":"https://doi.org/10.30919/es8d815","url":null,"abstract":"","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":"85593967","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}
{"title":"Fault Detection and Classification for Voltage source converter -High Voltage Systems by Using Different Swarm Optimization Algorithms-Based Neural Network","authors":"Raad Salih Jawad, Hafedh Abid","doi":"10.30919/es884","DOIUrl":"https://doi.org/10.30919/es884","url":null,"abstract":"","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":"87648165","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}
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
{"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}
{"title":"A Novel Deep Energy Efficient Hello Packet Scheduling for Ad Hoc Networks in Unmanned Aerial Vehicles","authors":"Hemant Kumar Saini, K. Jain","doi":"10.30919/es8d843","DOIUrl":"https://doi.org/10.30919/es8d843","url":null,"abstract":"","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":"78661101","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}
Tieyi Li, Siddharth Srivastava, Jun Liu, Feng Li, Y. Kim, David T. W. Wong, A. Carlin, Yanrong Xie
{"title":"Label-free SARS-CoV-2 Detection Platform Based on Surface-enhanced Raman Spectroscopy with Support Vector Machine Spectral Pattern Recognition","authors":"Tieyi Li, Siddharth Srivastava, Jun Liu, Feng Li, Y. Kim, David T. W. Wong, A. Carlin, Yanrong Xie","doi":"10.30919/es8d862","DOIUrl":"https://doi.org/10.30919/es8d862","url":null,"abstract":"","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":"76295642","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}
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
The project team synthesized and studied the biological effectiveness of these succinic acid complexes in regards to their ability to improve germination, reduce dwarfism, and protect against classical soybean pathogens, including Fusarium and Alternaria tenuis Nees.
{"title":"Growth Stimulating and Fungicidal Properties of Succinic Acid Complexes with Silver, Copper and Boron Ions During Pre-Sowing Treatment of Soybean Seeds","authors":"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","doi":"10.30919/es973","DOIUrl":"https://doi.org/10.30919/es973","url":null,"abstract":"The project team synthesized and studied the biological effectiveness of these succinic acid complexes in regards to their ability to improve germination, reduce dwarfism, and protect against classical soybean pathogens, including Fusarium and Alternaria tenuis Nees.","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":"135952908","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}
{"title":"Effect of Deep Cryogenic Treatment on Microstructure, Mechanical Properties, and Residual Stress of AISI 52100 Bearing Steel","authors":"Fuat Kara, Adem Çiçek, Halil Demir","doi":"10.30919/es960","DOIUrl":"https://doi.org/10.30919/es960","url":null,"abstract":"","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":"135556976","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}
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