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Article
Multidisciplinary Sciences
Oleg Gaidai et al.
Summary: Cancer is a global disease with significant impact on public health and economy. Modeling cancer is challenging due to its complexity and non-stationarity. This study applies modern statistical methods to raw clinical data to estimate extreme cancer death rate likelihood at any period in any location. Traditional statistical approaches fail to effectively handle the large regional dimensionality and cross-correlation of various regional variables in temporal multi-regional processes.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Oleg Gaidai et al.
Summary: Two novel methods are proposed for spatiotemporal analysis of wind speeds and wave heights, contributing to global climate studies. A unique reliability approach is introduced for multi-dimensional structural and environmental dynamic system responses, and a novel deconvolution extrapolation technique is applied to a wide range of environmental and engineering applications. The study aims to evaluate the state-of-the-art approach that extracts essential information about the extreme responses from observed time histories.
SCIENTIFIC REPORTS
(2023)
Article
Chemistry, Analytical
Oleg Gaidai et al.
Summary: This study focuses on the bivariate statistics of the dynamic response of a piezoelectric galloping energy harvester under realistic environmental conditions. A novel general-purpose reliability approach is proposed, which can be applied to various dynamic systems, including micro-machines. The statistical analysis presented in this study can be used at the design stage to ensure the system's safety and reliability.
Article
Multidisciplinary Sciences
Oleg Gaidai et al.
Summary: This study proposes an innovative method for predicting extreme values in offshore engineering by considering environmental loads and structural reliability issues. The method differs from traditional approaches by not assuming any specific extrapolation function and relying on the intrinsic qualities of the data set. It has been demonstrated to be effective through the analysis of two wind speed data sets and comparison with the Naess-Gaidai method.
Article
Multidisciplinary Sciences
Oleg Gaidai et al.
Summary: Due to global warming, the polar pack ice is shrinking, making merchant travel more feasible. However, even with reduced ice thickness in the summer, fractured ice still poses operational risks for future navigation. In this study, the severe bow forces experienced by an oil tanker in the Arctic Ocean are analyzed using statistical extrapolation techniques. The research aims to demonstrate the effective application of an exact reliability approach in addressing severe bow forces on a specific route for oil tankers.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Oleg Gaidai et al.
Summary: The research validates an innovative structural reliability method for multi-dimensional structural responses, which is particularly suitable for dealing with large system dimensionality and cross-correlation across multiple dimensions. It is essential to understand the severe stresses faced by offshore constructions, and this novel approach can help in minimizing inconvenience in the construction and operation of wind turbines. The study examines the blade root flapwise bending moment and tower bottom fore-aft bending moment using the FAST simulation program.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Oleg Gaidai et al.
Summary: This research presents two unique techniques for engineering system reliability analysis of multi-dimensional non-linear dynamic structures. The first technique is suitable for multi-dimensional structural responses that have been either simulated or measured to produce an ergodic time series. The second technique proposes a novel extreme value prediction method that is easy to use and can obtain robust system failure estimates even with limited data. The proposed methods also provide accurate confidence bands for system failure levels in real-life measured structural response.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Marine
Oleg Gaidai et al.
Summary: This research introduces a novel spatiotemporal reliability technique for high-dimensional structural systems. It enables the prediction of dynamic system failure risks based on in situ environmental load patterns. The authors apply this technique to 10-MW floating wind turbines and their dynamic responses, aiming to provide a state-of-the-art approach for the reliable study of offshore wind turbines.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Review
Cardiac & Cardiovascular Systems
Oleg Gaidai et al.
Summary: This paper presents a novel bio-system reliability approach for predicting cardiovascular diseases mortality probability in multi-regional environmental and health systems. The objective is to determine the probability of extreme cardiovascular diseases death rates at any time and in any region of interest.
CURRENT PROBLEMS IN CARDIOLOGY
(2023)
Article
Multidisciplinary Sciences
Oleg Gaidai et al.
Summary: Novel coronavirus disease is spreading globally and poses a significant burden on public health. Modeling this phenomenon is challenging due to the non-normal distribution of the data. This study introduces a novel bio-system reliability approach to forecast the long-term infection rate of novel coronavirus based on multi-regional environmental and health systems.
PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY
(2023)
Article
Engineering, Multidisciplinary
Oleg Gaidai et al.
Summary: A novel deconvolution method is proposed to accurately predict extreme hawser tensions during Floating Production Storage and Offloading (FPSO) operations. The predicted values obtained by the new approach are compared with those from the Naess-Gaidai method, and the results suggest that the deconvolution method provides a more robust and accurate forecast of excessive hawser stress. This method can be effectively used during vessel design to determine appropriate characteristics and reduce potential FPSO hawser stress.
RESULTS IN ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Jiayao Sun et al.
Summary: This study proposes a reliable method for high-dimensional dynamic systems, which can accurately assess the failure risks of the system and has a wide range of applications in engineering and design.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Article
Engineering, Ocean
Oleg Gaidai et al.
Summary: This study presents a novel reliability-based technique for lifetime assessment of multi-dimensional dynamic systems. It has potential applications in marine structural systems design that require reliability analysis. The study demonstrates the accuracy of forecasting risks of system failure due to excessive structural responses.
APPLIED OCEAN RESEARCH
(2023)
Article
Biology
Oleg Gaidai et al.
Summary: This study introduces a novel bio-system reliability spatio-temporal approach for predicting the likelihood of an outbreak of a highly pathogenic virus. Traditional statistical methods fail to handle the large regional dimensionality and cross-correlation between different regional observations, which this approach effectively addresses while integrating geographical mapping to extract essential data.
Article
Green & Sustainable Science & Technology
Oleg Gaidai et al.
Summary: Wind turbines and their associated parts are susceptible to various cyclic stresses, making research on the resilience of dynamic systems crucial. The method described in this study is beneficial for multidimensional structural responses. It accurately predicts the probability of system failure in the case of a measurable structural reaction, and offers a novel approach for structural reliability that doesn't require a multidimensional reliability function in numerical simulations.
ADVANCED ENERGY AND SUSTAINABILITY RESEARCH
(2023)
Article
Biochemical Research Methods
Oleg Gaidai et al.
Summary: This study proposes a new spatio-temporal method using raw clinical observational data to accurately predict the probability of COVID-19 epidemic occurrence in any Brazil state at any given time. With a focus on multi-regional environmental and health systems, this novel bio-system reliability approach offers a robust long-term forecast of virus outbreak probability. By considering the daily numbers of recorded COVID-19 patients in all affected Brazil states, this work aims to benchmark state-of-the-art methods and dynamically analyze patient numbers while considering relevant regional mapping. The advocated approach has the potential to monitor and predict future epidemic outbreaks in various multi-regional biological systems.
BIOINFORMATICS AND BIOLOGY INSIGHTS
(2023)
Article
Engineering, Marine
Oleg Gaidai et al.
Summary: The research investigates the motion response and hydrodynamic wave loads of a deep-water Tension Leg Platform (TLP), focusing on the effects of wave sum frequency on constrained modes of heave, roll, and pitch. The stochastic TLP structural response in a random sea state was accurately calculated using a Volterra series representation of the TLP corner vertical displacement. The wave loading was evaluated using the second-order diffraction code WAMIT and applied to a linear damped mass-spring model representing the dynamic system. A novel deconvolution approach was used to determine the platform displacement response at the design low probability level.
INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING
(2023)
Article
Engineering, Marine
Vladimir Yakimov et al.
Summary: This study proposes a method for predicting the fatigue life of FPSO hawsers and suggests its use in vessel design phase to reduce operational risk. The study contributes to the development of novel fatigue assessment approaches for more effective utilization of limited available datasets.
INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING
(2023)
Article
Acoustics
Oleg Gaidai et al.
Summary: The paper investigates a strategy of nonlinear vibration mitigation using a passive absorber for a variable length pendulum. Numerical studies validate the proposed strategy and demonstrate high performance of the nonlinear passive absorber when properly tuned.
JOURNAL OF VIBRATION AND CONTROL
(2022)
Article
Engineering, Marine
Oleg Gaidai et al.
Summary: The paper validates a novel structural reliability method called Gaidai-Fu-Xing (GFX), which is particularly suitable for multi-dimensional structural responses. It compares this method with a well-established bivariate statistical method that is known for accurately predicting two-dimensional system extreme response levels. The paper highlights the limitations of classic reliability methods in dealing with high dimensionality and cross-correlations in multi-dimensional systems.
Article
Multidisciplinary Sciences
Oleg Gaidai et al.
Summary: This paper demonstrates the validity of the Naess-Gadai method for extrapolating extreme value statistics of second-order Volterra series processes through application on a representative model of a deep water small size tension leg platform (TLP), with specific focus on wave sum frequency effects affecting restrained modes: heave, roll and pitch. The mean up-crossing rate based extrapolation method (Naess-Gaidai method) was applied to calculate response levels at low probability levels, and the results were compared with the exact Volterra solution to evaluate the accuracy and efficiency of the Naess-Gadai method. The limitations of mean up-crossing rate based extrapolation methods for narrow band effects are also highlighted in this paper.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Oleg Gaidai et al.
Summary: This article provides two unique methodologies for studying the dependability of multidimensional nonlinear dynamic systems, focusing on structural reliability and predicting extreme values. The research demonstrates the effectiveness of these methods in evaluating the failure probability of the system.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Marine
Oleg Gaidai et al.
Summary: The paper introduces a novel structural reliability method for multi-dimensional structural responses, providing accurate predictions of system failure probability. The study focuses on container ships facing extreme stresses and roll angles in harsh weather conditions, highlighting the significance of data measured on actual ships for understanding ship motions statistics.
Article
Engineering, Marine
Rajiv Balakrishna et al.
Summary: This study uses a novel statistical model called ACER2D to estimate the extreme load responses of a 10 MW semi-submersible floating wind turbine. The results show that the ACER2D method can offer more accurate predictions.
Article
Environmental Sciences
Oleg Gaidai et al.
Summary: This paper presents a novel structural reliability method for analyzing extreme event risks in multi-dimensional environmental systems. By applying this method to selected measurement sites in Southern Norway, the study demonstrates its effectiveness and compares it with traditional methods. The proposed method can handle high-dimensional systems with cross-correlations and accurately predict system failure probabilities.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Engineering, Mechanical
Oleg Gaidai et al.
Summary: This paper presents an alternative method for extrapolation based on the intrinsic properties of the data set itself, without assuming any specific functional classes. The proposed method can be applied in engineering design and is illustrated through two examples, one using synthetic data and the other using actual onboard measured data from a container ship. The accuracy of the proposed method is compared with the Naess-Gaidai extrapolation method, and new methods for smoothing distribution tail irregularities are also discussed.
FRONTIERS IN MECHANICAL ENGINEERING-SWITZERLAND
(2022)
Article
Engineering, Multidisciplinary
Oleg Gaidai et al.
Summary: This paper focuses on determining extreme positional responses at one location when the aft thruster fails during offloading using data with a shorter time record from another location at the subsea shuttle tanker (SST).
RESULTS IN ENGINEERING
(2022)
Article
Biochemistry & Molecular Biology
Carole H. Sudre et al.
Summary: Reports on long-lasting COVID-19 symptoms, known as 'long COVID', are increasing. Analysis of data from over 4,000 COVID-19 cases revealed that long COVID is more common in older individuals, those with higher body mass index, and females. Experiencing more than five symptoms in the first week of illness was associated with long COVID. A simple model showed promise in distinguishing between short and long COVID cases early in the disease.
Article
Environmental Sciences
Abolfazl Mollalo et al.
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Multidisciplinary Sciences
Jiangpeng Chen et al.
Article
Multidisciplinary Sciences
Radina P. Soebiyanto et al.
Article
Mathematical & Computational Biology
AS Mugglin et al.
STATISTICS IN MEDICINE
(2002)
