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Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 1-16 doi: 10.1007/s11709-014-0277-3

Abstract: been recently performed by applying statistical and machine learning techniques for vibration-based damagedetection.limited number of modal properties issued from operational modal analysis may be not appropriate for early-damageThe present paper aims at detecting this type of damage by using static SHM data and by assuming thatearly-damage produces dead load redistribution.

Keywords： structural health monitoring     early-damage detection     principal component analysis     symbolic data     symbolicdissimilarity measures     cluster analysis     numerical model     damage simulations    

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Effects of DNA damage on oocyte meiotic maturation and early embryonic development

Shen YIN,Junyu MA,Wei SHEN

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 3,   Pages 185-190 doi: 10.15302/J-FASE-2014035

Abstract: DNA damage is one of the most common threats to meiotic cells.Here, we reviewed exogenous factors which could induce DNA damage.Specially, we addressed the different effects of DNA damage on mouse oocytes and embryonic developmentComplex DNA damage, double-strand breaks, represents a more difficult repair process and involves variousUnderstanding the mechanisms involved in DNA damage responses may improve therapeutic strategies for

Keywords： DNA damage     double-strand breaks (DSBs)     oocyte     embryo    

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Damage detection in beam-like structures using static shear energy redistribution

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12,   Pages 1552-1564 doi: 10.1007/s11709-022-0903-4

Abstract: In this study, a static shear energy algorithm is presented for the damage assessment of beam-like structuresthe energy release principle, the strain energy of a damaged element suddenly changes when structural damageTherefore, the change in the static shear energy is employed to determine the damage locations in beam-likeis that only a few deflection data points of the beam structure are required during the process of damageAnother advantage of the proposed approach is that damage detection can be performed without establishing

Keywords： damage detection     beam structure     strain energy     static displacement variation     energy damage index    

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Multiple damage detection in complex bridges based on strain energy extracted from single point measurement

Alireza ARABHA NAJAFABADI, Farhad DANESHJOO, Hamid Reza AHMADI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 722-730 doi: 10.1007/s11709-020-0624-5

Abstract: Strain Energy of the structure can be changed with the damage at the damage location.The accurate detection of the damage location using this index in a force system is dependent on thedegree of accuracy in determining the structure deformation function before and after damage.Then two damage detection indicators were developed based on strain energy variations.Damage was simulated by decreasing stiffness at different sections of the deck.

Keywords： damage detection     strain energy     influence line     complex bridges     rotation displacement    

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An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 907-929 doi: 10.1007/s11709-020-0628-1

Abstract: In this study, the performance of an efficient two-stage methodology which is applied in a damage detectionIn the first stage, in order to locate the damage accurately, the performance of the modal strain energyIn the second stage, to estimate the damage extent, the sensitivity of most used modal properties dueto damage, such as natural frequency and flexibility matrix is compared with the mean normalized modalvector is evaluated using the group method of data handling (GMDH) network as a surrogate model during damage

Keywords： two-stage method     modal strain energy     surrogate model     GMDH     optimization damage detection    

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A new and best approach for early detection of rotor and stator faults in induction motors coupled to

Abderrahim ALLAL,Boukhemis CHETATE

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 176-191 doi: 10.1007/s11708-015-0386-2

Abstract: works on the theme of diagnosis in order to find the most efficient technique to predict a fault in an early

Keywords： induction motor     incipient broken bar     extended Park’s vector approach     spectral analysis     inter-turn short-circuit     Hilbert transform    

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Detection of oxidative stress and DNA damage in freshwater snail

Daoud Ali, Huma Ali, Saud Alifiri, Saad Alkahtani, Abdullah A Alkahtane, Shaik Althaf Huasain

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1039-6

Abstract:

Freshwater snail (Lymnea luteola L.) is good bio indicator of water pollution.

Profenofos is tested for its molluscicidal activity against Lymnea luteola L. snail.

Deleterious effects on some oxidative stress were detected.

Profenofos has a genotoxic effect on Lymnea luteola L. snails.

Keywords： Acute toxicity     Profenofos     ROS     oxidative stress     DNA damage     Lymnea luteola    

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A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1453-1479 doi: 10.1007/s11709-021-0767-z

Abstract: This paper proposes a new Deep Feed-forward Neural Network (DFNN) approach for damage detection in functionallythe proposed approach, the DFNN model is developed based on a data set containing 20 000 samples of damagetranslational nodal displacements of the structures, are utilized as input of the DFNN model while the damageAdditionally, in order to enhance the performance of the DFNN model, the mini-batch and early-stoppingObtained results indicate that the proposed DFNN model is able to give sufficiently accurate damage detection

Keywords： damage detection     deep feed-forward neural networks     functionally graded carbon nanotube-reinforced composite    

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Novel Non-Protein Biomarkers for Early Detection of Hepatocellular Carcinoma Review

Ghassan K. Abou-Alfa, Lin Wu, Augusto Villanueva

Engineering 2021, Volume 7, Issue 10,   Pages 1369-1374 doi: 10.1016/j.eng.2021.02.020

Abstract:

Early detection of hepatocellular carcinoma (HCC) while in its early stages is critical for reducingHowever, highly sensitive and specific surveillance biomarkers for early-stage HCC detection are stillIn this review, we summarize current studies on these new approaches and their application in early HCCdetection.

Keywords： Hepatocellular carcinoma     Early detection     Biomarkers     Liquid biopsy    

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Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning

Frontiers of Structural and Civil Engineering   Pages 1281-1294 doi: 10.1007/s11709-023-0975-9

Abstract: Subsequently, various indices for the damage diagnosis of concrete structures based on the curvatureA damage assessment method for concrete structures is established using an artificial bee colony backpropagationThe proposed damage assessment method for dam concrete structures comprises various modal parameters,The results show that the damage assessment model can accurately evaluate the damage degree of concretestructures with a maximum error of less than 2%, which is within the required accuracy range of damage

Keywords： hydraulic structure     curvature mode     damage detection     artifical neural network     artificial bee colony    

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Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep

Alipujiang JIERULA, Tae-Min OH, Shuhong WANG, Joon-Hyun LEE, Hyunwoo KIM, Jong-Won LEE

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 318-332 doi: 10.1007/s11709-021-0715-y

Abstract: The aim of this study is to propose a new detection method for determining the damage locations in pileFirst, the damage location is simulated using a back propagation neural network deep learning model withIn particular, the damage location is identified using two parameters: the pile location ( ) and theSecond, the damage step condition is determined using a classification model with an acoustic emissionFinally, a new damage detection and evaluation method for pile foundations is proposed.

Keywords： pile foundations     damage location     acoustic emission     deep learning     damage step    

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Low-dose CT for lung cancer screening: opportunities and challenges

Hongbing Shen

Frontiers of Medicine 2018, Volume 12, Issue 1,   Pages 116-121 doi: 10.1007/s11684-017-0600-1

Abstract:

Lung cancer is among the most frequently diagnosed cancers worldwide and the leading cause of cancer death in both males and females. Screening for lung cancer coupled with earlier intervention has long been studied as an approach to mortality reduction. However, minimal progress was achieved until recently, when low-dose spiral computed tomography (LDCT) screening demonstrated a 20% reduction in mortality from lung cancer in a randomized controlled trial (RCT), the National Lung Screening Trial, from the United States. On the basis of this finding, LDCT has been recommended for lung cancer screening in high-risk populations by several clinical guidelines. However, results from the following independent RCTs in Europe failed to show consistent conclusions. In addition, intractable problems gradually emerged with the progress of LDCT screening. This paper summarizes and discusses the main observations and challenges of LDCT screening for lung cancer. Before spreading implementation of LDCT screening, challenges, including high false-positive rates, overdiagnosis, enormous costs, and radiation risk, must be addressed. Complementary biomarkers and technical improvement are expected in the field of lung cancer screening in the near future.

Keywords： lung cancer     low-dose computerized tomography     early detection     opportunities     challenges    

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Orthopedic management in the polytrauma patient

Jason J. Halvorson, Holly T-P. Pilson, Eben A. Carroll, Zhongyu John Li

Frontiers of Medicine 2012, Volume 6, Issue 3,   Pages 234-242 doi: 10.1007/s11684-012-0218-2

Abstract: Early recommendations for non-operative treatment have evolved into early total care (ETC) and damage

Keywords： damage control orthopedics     early total care     polytrauma    

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Uncertainty quantification of stability and damage detection parameters of coupled hydrodynamic-ground

Nazim Abdul NARIMAN, Tom LAHMER, Peyman KARAMPOUR

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 303-323 doi: 10.1007/s11709-018-0462-x

Abstract: The non coupled models results determined overestimated predicted stability and damage detection in theThe XFEM approach has been used for damage detection in relation with both minimum and maximum values

Keywords： massed foundation     hydrodynamic pressure     Box-Behnken method     meta model     Sobol’s sensitivity indices    

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Molecular alterations and clinical relevance in esophageal squamous cell carcinoma

Li Shang, Mingrong Wang

Frontiers of Medicine 2013, Volume 7, Issue 4,   Pages 401-410 doi: 10.1007/s11684-013-0286-y

Abstract: Early detection and intervention in time may dramatically increase the survival of the patients by initiatingbe useful for subtyping esophageal tumors or precancerous lesions to improve current therapeutics or early

Keywords： esophageal squamous cell carcinoma (ESCC)     early detection     molecular classification     molecular markers    

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Title Author Date Type Operation

Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Journal Article

Effects of DNA damage on oocyte meiotic maturation and early embryonic development

Shen YIN,Junyu MA,Wei SHEN

Journal Article

Damage detection in beam-like structures using static shear energy redistribution

Journal Article

Multiple damage detection in complex bridges based on strain energy extracted from single point measurement

Alireza ARABHA NAJAFABADI, Farhad DANESHJOO, Hamid Reza AHMADI

Journal Article

An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Journal Article

A new and best approach for early detection of rotor and stator faults in induction motors coupled to

Abderrahim ALLAL,Boukhemis CHETATE

Journal Article

Detection of oxidative stress and DNA damage in freshwater snail

Daoud Ali, Huma Ali, Saud Alifiri, Saad Alkahtani, Abdullah A Alkahtane, Shaik Althaf Huasain

Journal Article

A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced

Journal Article

Novel Non-Protein Biomarkers for Early Detection of Hepatocellular Carcinoma

Ghassan K. Abou-Alfa, Lin Wu, Augusto Villanueva

Journal Article

Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning

Journal Article

Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep

Alipujiang JIERULA, Tae-Min OH, Shuhong WANG, Joon-Hyun LEE, Hyunwoo KIM, Jong-Won LEE

Journal Article

Low-dose CT for lung cancer screening: opportunities and challenges

Hongbing Shen

Journal Article

Orthopedic management in the polytrauma patient

Jason J. Halvorson, Holly T-P. Pilson, Eben A. Carroll, Zhongyu John Li

Journal Article

Uncertainty quantification of stability and damage detection parameters of coupled hydrodynamic-ground

Nazim Abdul NARIMAN, Tom LAHMER, Peyman KARAMPOUR

Journal Article

Molecular alterations and clinical relevance in esophageal squamous cell carcinoma

Li Shang, Mingrong Wang

Journal Article