Article
Computer Science, Interdisciplinary Applications
Arash Massoudieh, Khiem Nguyen, Sudhir Murthy
Summary: Sub-disciplines within the water sector are divided into specialty domains, resulting in modeling tools for flow and water quality based on pre-determined equations. However, there is a need to integrate different sets of equations to address complex problems that involve interactions between multiple domains. This paper presents an extensible modeling framework that allows user-defined model components to be added using plugins, enabling adaptability to specific needs and objectives. The framework's data structure for describing model components, properties, and equations used for computation is also discussed. Four examples highlighting the multi-domain capability of the framework are provided.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Automation & Control Systems
Junyao Xie, Jukka-Pekka Humaloja, Charles Robert Koch, Stevan Dubljevic
Summary: This article discusses the constrained output estimation of discrete-time linear distributed parameter systems in the presence of plant and measurement disturbances. It proposes sufficient conditions for the strong stability of the moving horizon estimator and links the discrete-time estimation results to continuous-time infinite-dimensional systems described by partial differential equations with unbounded disturbance and output operators using the Cayley-Tustin transformation. The theoretical results are illustrated with numerical examples on a 1-D wave equation and a 1-D diffusion equation.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Romeo Ortega, Emmanuel Nuno, Alexey Bobtsov
Summary: This article proposes a novel approach to solving the problem of distributed state estimation of linear time-invariant systems by utilizing parameter-estimation-based observers. The method achieves convergence in finite time, imposes weak assumptions on the communication graph, and shows robustness against external disturbances and communication delays.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Shimin Wang, Xiangyu Meng
Summary: This article studies the simultaneous leader-following consensus and parameter estimation problem for a class of multiagent systems with an uncertain leader system. It proposes a fully distributed adaptive observer for each agent to estimate the unknown frequencies of the leader, and shows that the estimation errors converge to zero asymptotically if the leader signal is sufficiently rich. Based on this observer, a distributed adaptive control law is synthesized to solve the leader-following consensus problem for each agent.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Ji Wang, Miroslav Krstic
Summary: The paper addresses a theoretical problem of control of a specific class of coupled hyperbolic PDEs, sandwiched between nonlinear ODE and linear ODE with a time-varying PDE domain. A state-feedback controller and observer are designed to stabilize the system and recover all states, leading to a collocated type output-feedback control system. The global exponential stability of the closed-loop system, boundedness, and exponential convergence of the controller are proven through Lyapunov analysis, with performance investigated through numerical simulation.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Jie Sun, Bo Shen, Jie Qi, Yufei Liu
Summary: This article investigates the H-infinity state estimation problem for a class of distributed parameter systems (DPSs) and proposes a stubborn state estimator to eliminate the effects of outliers. Sufficient conditions are obtained to ensure exponential stability and satisfaction of H-infinity performance requirement, leading to the design of the desired H-infinity state estimator. Numerical simulation example is provided to verify the effectiveness of the proposed state estimation scheme.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Mathematics
Ivan Francisco Yupanqui Tello, Alain Vande Wouwer, Daniel Coutinho
Summary: This paper provides a concise overview of available methods for designing state observers or software sensors for linear and semilinear PDE systems, based on both early and late lumping approaches. PDE systems pose unique challenges related to the space-time dependence of states, but with steady progress in computational power, the field of state estimation for PDE systems has regained interest in recent decades.
Article
Computer Science, Software Engineering
Anjan Karmakar, Miltiadis Allamanis, Romain Robbes
Summary: JEMMA is a large-scale and high-quality dataset for ML4Code applications, providing pre-processed information for 50,000 Java projects. It is also extendable, allowing users to add new properties and representations, and evaluate tasks on the dataset. Empirical studies on the dataset show the importance of designing context-aware source code models that can reason over a broader network of source code entities in a software project.
EMPIRICAL SOFTWARE ENGINEERING
(2023)
Article
Computer Science, Hardware & Architecture
Jianwei Zhang, Chenwei Zhao
Summary: The paper proposes a Q-SR framework to fully explore the potential of segment routing, with high extensibility for various network topologies and traffic matrices. It introduces offline and online algorithms, proven through theoretical bounds and extensive simulations to validate computation efficiency and feasibility.
Article
Automation & Control Systems
Gang Chen, Yaoyao Zhou
Summary: The article proposes a distributed online optimization algorithm for dynamic parameter estimation based on a distributed sensing network. The algorithm addresses challenges such as communication delays, time-varying directed graphs, and uncertain environments. The analysis shows that the algorithm achieves the tightest dynamic regret bound known. Furthermore, the algorithm is extended to handle scenarios with stochastic gradients or gradient-free situations, and it is demonstrated that there is no regret degradation compared to the original algorithm. Simulation experiments verify the effectiveness of the proposed algorithm.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Multidisciplinary
Fei Han, Zidong Wang, Hongli Dong, Xiaojian Yi, Fuad E. Alsaadi
Summary: This article addresses the distributed H-8-consensus estimation problem for a class of time-varying random parameter systems over binary sensor networks. A generalized covariance matrix characterizes the statistical information of the random parameter matrix. To overcome the limitation of binary sensors providing only one bit of information, an indicator variable is introduced to extract functional information for system state estimation. The article presents a distributed estimator for each binary sensor, ensuring H-8-consensus performance constraint on the estimation error dynamics over a finite horizon. The gains of the estimators are calculated by solving a set of recursive linear matrix inequalities, and the effectiveness of the proposed scheme is demonstrated through a numerical example.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Hasan Raza, Waseem Abbasi, Khursheed Aurangzeb, Noor M. Khan, Muhammad Shahid Anwar, Musaed Alhussein
Summary: This paper focuses on the output error models for output data estimation and parameter identification in systems with missing output data. A new sequentially parallel distributed adaptive signal processing method with a low complexity least squares algorithm is proposed. The method is able to estimate the parameters of an auxiliary model and handle irregularly missing output data in a stochastic framework. The computational complexity and processing time of the proposed method are evaluated and compared with the recursive least squares algorithm. The results show that the proposed method achieves fast convergence, parallel linear computational complexity, and significantly reduced processing time.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Engineering, Chemical
Xunyuan Yin, Song Bo, Jinfeng Liu, Biao Huang
Summary: This study proposes a consensus-based estimation mechanism for accurately estimating soil moisture in agro-hydrological systems, even when poor initial guesses of parameters and states are used.
Article
Automation & Control Systems
Junyao Xie, Jukka-Pekka Humaloja, Charles Robert Koch, Stevan Dubljevic
Summary: This work addresses moving horizon estimation for switching conservative linear infinite-dimensional systems described by partial differential equations (PDE). The article proposes a discretization method using the Cayley-Tustin transformation and introduces observability concepts for estimating the system states and modes.
Article
Automation & Control Systems
Chengcheng Fu, Hao Zhang, Chao Huang, Zhuping Wang, Huaicheng Yan
Summary: This paper focuses on the fully distributed robust cooperative output regulation of polytopic multiagent systems. Based on the internal model principle, the problem being studied is first converted into a stabilization problem of interconnected systems without external disturbance. Next, small-gain conditions are characterized to obtain an equivalent H infinity problem, where the upper bound of the H infinity performance index is closely associated with the spectral radius of the communication topology correlation matrix. To design adaptive fully distributed control protocols in both state and output feedback settings, a finite-time observer and a topology information estimation algorithm are proposed to avoid global information. Compared with existing related works, our methods do not require global information a priori. Finally, the proposed methodology is applied to numerical and practical examples of multi-pendulum systems to demonstrate the feasibility and applicability of the theoretical results.
Article
Gastroenterology & Hepatology
Emily W. Lopes, Simon S. M. Chan, Mingyang Song, Jonas F. Ludvigsson, Niclas Hakansson, Paul Lochhead, Allan Clark, Kristin E. Burke, Ashwin N. Ananthakrishnan, Amanda J. Cross, Domenico Palli, Manuela M. Bergmann, James M. Richter, Andrew T. Chan, Ola Olen, Alicja Wolk, Hamed Khalili
Summary: This study aimed to estimate the proportion of cases of Crohn's disease (CD) and ulcerative colitis (UC) that could be prevented by modifiable lifestyle factors. Using several cohorts in the US and Europe, the researchers created modifiable risk scores and healthy lifestyle scores, and found that a significant number of CD and UC cases could be prevented through lifestyle modification.
Article
Biochemical Research Methods
Denis S. Bormotov, Vasily A. Eliferov, Olga V. Peregudova, Denis S. Zavorotnyuk, Konstantin V. Bocharov, Stanislav I. Pekov, Anatoly A. Sorokin, Eugene N. Nikolaev, Igor A. Popov
Summary: Rapid and reliable methods for detecting tumor margins are crucial for neuro-oncology. Several mass spectrometry-based methods have been proposed, including Inline Cartridge Extraction (ICE). This study develops a method of incorporating a disposable electrospray emitter into the ICE cartridge, reducing total analysis time and improving throughput. The proposed setup also improves the stability and reproducibility of molecular profiling in human glial tumor samples.
JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
(2023)
Article
Medicine, General & Internal
Caitlin Notley, Lucy Clark, Pippa Belderson, Emma Ward, Allan B. Clark, Steve Parrott, Sanjay Agrawal, Ben M. Bloom, Adrian A. Boyle, Geraint Morris, Alasdair Gray, Tim Coats, Mei-See Man, Linda Bauld, Richard Holland, Ian Pope
Summary: This study aims to determine whether an opportunistic smoking cessation intervention delivered in the emergency department can help daily smokers quit smoking and is cost-effective. The trial compares brief smoking cessation advice with provision of an e-cigarette and referral to local stop smoking services (intervention group) and provision of contact details for local stop smoking services (control group). Outcomes will be collected at 1, 3, and 6 months, with the primary outcome being carbon monoxide verified continuous smoking abstinence at 6 months.
Article
Medicine, General & Internal
Leonid Fisher, Olga Fisher, Dmitry Chebanov, Sergey Vesnin, Alexey Goltsov, Arran Turnbull, Mike Dixon, Indira Kudaibergenova, Batyr Osmonov, Sergey Karbainov, Larion Popov, Alexander Losev, Igor Goryanin
Summary: Breast cancer prevention is a crucial health concern for women worldwide. This study compared traditional breast cancer screening methods like mammography and ultrasound with newer approaches such as passive microwave radiometry (MWR) and microRNA (miRNA) analysis. While mammography took 3-6 months for screening dynamics, MWR provided predictions within weeks or even days. Additionally, MWR has the potential to be enhanced by miRNA diagnostics for better predictive accuracy. These novel techniques can be used independently or in combination with established techniques to enhance early breast cancer diagnosis.
Article
Clinical Neurology
Toby Smith, Michael Mansfield, Sarah Hanson, Allie Welsh, Reema Khoury, Allan Clark, Emma Dures, Jo Adams
Summary: This study examines the use of informal support among people with chronic pain. The results show that individuals who receive informal care are primarily female, older, and have multiple medical conditions. The informal care provided often involves everyday activities and is most frequently provided by partners or children. Despite reporting greater disability and symptoms, there were no differences in health status, loneliness, or well-being between those who received care and those who did not.
BRITISH JOURNAL OF PAIN
(2023)
Article
Computer Science, Information Systems
Denis S. Zavorotnyuk, Anatoly A. Sorokin, Stanislav I. Pekov, Denis S. Bormotov, Vasiliy A. Eliferov, Konstantin V. Bocharov, Eugene N. Nikolaev, Igor A. Popov
Summary: In this study, the Shapley value is used to assess the quality of mass spectra, resulting in accelerated analysis of negative mode mass spectrometry data and improved accuracy of regression models.
Article
Computer Science, Information Systems
Anatoly A. Sorokin, Denis S. Bormotov, Denis S. Zavorotnyuk, Vasily A. Eliferov, Konstantin V. Bocharov, Stanislav I. Pekov, Evgeny N. Nikolaev, Igor A. Popov
Summary: Mass spectrometry fingerprinting combined with multidimensional data analysis is used to determine if a biopsy sample is a tumor. In the case of brain tumors, it is difficult to obtain control samples, resulting in model overfitting due to unbalanced sample cohorts. This study developed an approach using mass spectrometry data obtained by eight different measurement regimes simultaneously, and achieved better classification performance by aggregating the predictions of multiple classifiers.
Article
Biochemistry & Molecular Biology
Anatoly Sorokin, Igor Goryanin
Summary: Whole-genome models (GEMs) are versatile tools for systems biology, biotechnology, and medicine. We propose a new method to apply global sensitivity analysis (GSA) to GEMs, which allows for fast, interpretable, and reliable evaluation of reaction contributions to cellular functions.
Article
Engineering, Environmental
Abdulhalim Zaryab, Asadullah Farahmand, Hamid Reza Nassery, Farshad Alijani, Shakir Ali, Mohammad Zia Jamal
Summary: This study explores the hydrogeochemical characteristics of groundwater in shallow and deep aquifers in Kabul and finds that water-rock interaction is a major contributing factor to the chemical compositions of groundwater. The shallow aquifer is mainly recharged by river water and local precipitation, while the deep aquifer is a mixture of pre-1953 and post-1953 groundwater. The study also reveals hydraulic interactions between the two aquifers.
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
(2023)
Article
Multidisciplinary Sciences
Shyam Ajay Gokani, Matthew Jefferson, Jelena Gavrilovic, Allan Clark, Falk Hildebrand, Tom Wileman, Claire Hopkins, Carl Philpott
Summary: This study aims to correlate clinical parameters and treatment response with CRS endotypes by analyzing biomarkers in nasal tissue and bacterial swabs. It could provide the foundation for patient classification and predicting treatment outcomes.
Article
Medicine, Research & Experimental
Linda Birt, Thando Katangwe-Chigamba, Sion Scott, David J. Wright, Adam P. Wagner, Erika Sims, Veronica Bion, Carys Seeley, Faisal Alsaif, Allan Clarke, Alys Griffiths, Liz Jones, Alison Bryant, Amrish Patel
Summary: Influenza vaccination rates among care home staff in the UK are low, but the FluCare study aims to improve this through behavioral interventions such as videos, posters, leaflets, and on-site vaccination clinics. This paper outlines the planned process evaluation, which will describe the intervention's delivery, explore its effects, investigate the mechanisms of impact, and assess the perceived effectiveness of the intervention components from participant perspectives.
Article
Multidisciplinary Sciences
Sergei Sokolov, Fedor Brovko, Alexander Solonin, Daria Nikanova, Ksenia Fursova, Olga Artyemieva, Evgenia Kolodina, Anatoly Sorokin, Margarita Shchannikova, Timur Dzhelyadin, Artem Ermakov, Khanafy Boziev, Natalia Zinovieva
Summary: Three stable microbial consortia were isolated from milk of cows diagnosed with mastitis in three geographically remote regions of Russia. These consortia were composed of Bacillus paranthracis and Staphylococcus haemolyticus strains, and their composition remained stable following multiple passages on culture media, possibly due to the structure of microbial biofilms. The virulence of the consortia depended on the B. paranthracis strains, and the ability to cause mastitis in cattle may be affected by mutations of the cytK gene of B. paranthracis.
SCIENTIFIC REPORTS
(2023)
Review
Medicine, General & Internal
Sion Scott, Bethany Atkins, Jacqueline M. Martin-Kerry, Megan Pritchard, David Phillip Alldred, Allan B. Clark, Antony Colles, Amber Hammond, Katherine Murphy, Victoria L. Keevil, Ian Kellar, Martyn Patel, Erika Sims, Johanna Taylor, David Turner, Miles Witham, David Wright, Debi Bhattacharya
Summary: The CHARMER study aims to develop and test a behavior change intervention to proactively deprescribe inappropriate medicines with older adults in hospital. This study will test the feasibility and acceptability of study processes and CHARMER implementation.
Article
Medicine, General & Internal
Shyam Ajay Gokani, Allan Clark, Amin Javer, Carl Philpott
Summary: This study aimed to evaluate factors associated with non-adherence to prescribed medication after endoscopic sinus surgery (ESS) and compare SNOT-22 scores post-operation between adherent and non-adherent patients. Of the 94 participants included in this retrospective cohort study, 66% did not adhere to their post-operative medication regimen. The most common reasons for non-adherence were symptom improvement, symptom deterioration, and side effects. Non-intentionally non-adherent (NINA) participants had lower post-operative SNOT-22 scores compared to intentionally non-adherent (INA) and adherent patients.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Engineering, Environmental
Shakir Ali, Shashank Shekhar, Rakesh Kumar, K. Brindha, Peiyue Li
Summary: This study analyzed and evaluated the contamination of fluoride (F-) in groundwater in India, revealing the main sources and affected regions of fluoride pollution, and suggesting corresponding remedial measures, which is of great importance for ensuring safe drinking water supply.
JOURNAL OF HAZARDOUS MATERIALS ADVANCES
(2023)
