Analysis Of Systems Research Articles

Periodic event-triggered data-driven control for networked control systems with time-varying delays

This article focuses on data-driven analysis and controller design for networked control systems (NCSs) with network-induced delays. The study considers a linear time-invariant (LTI) system controlled through a periodic event-triggering mechanism. First, by leveraging data-based representations, we establish data-based stability conditions for NCSs with time-varying delays. Furthermore, we propose the data-based method for co-designing the controller and the periodic event-triggering scheme. In addition, we present novel data-based conditions for verifying dissipativity properties of NCSs. The effectiveness of our proposed methods is validated through a simulation and a turbofan engine hardware-in-the-loop (HIL) experiment.

Physics-Informed Fully Convolutional Network-Based Power Flow Analysis for Multi-Terminal MVDC Distribution Systems

Physics-Informed Fully Convolutional Network-Based Power Flow Analysis for Multi-Terminal MVDC Distribution Systems

Incorporating perovskites in photovoltaic-powered electrochemical cells for a sustainable future: An inclusive review

Due to the escalating demand for energy across all sectors, traditional energy sources are proving insufficient to meet our requirements. Moreover, their extensive use is exacerbating environmental issues. Consequently, solar energy has garnered significant attention due to its affordability, cleanliness, and abundance. This review presents an analysis of various solar cell systems, comparing their efficiency, cost, and stability based on literature spanning the past decade. While perovskite-based solar cells have demonstrated promising performance in laboratory settings, challenges with stability hinder their industrial-scale implementation. On the other hand, perovskites exhibit favorable catalytic properties, making them suitable for the electrochemical reduction of CO2. To address stability concerns, this review proposes structural engineering approaches aimed at maximizing electricity generation from solar energy to power electrochemical cells for CO2 reduction in the environment.

Research on the aero-hydro coupling characteristics of the floating twin-rotor wind turbine system

The concept of installing two wind turbines on a floating platform, known as a floating twin-rotor wind turbine system, has recently garnered significant interest. This configuration can harness greater wind energy resources, reduce installation and mooring costs by sharing mooring lines, and minimize losses due to wake effects between turbines through yaw control. However, previous research has not sufficiently addressed the dynamic performance analysis of such systems. This study focuses on a high-capacity floating twin-rotor wind turbine system and develops an aero-hydrodynamic coupled analysis method based on the free vortex wake method and potential flow theory, specifically tailored for the twin-rotor configuration. This method facilitates real-time iterative calculations of wind and wave loads acting on the system and suggests optimization strategies for its design. Our findings indicate that the design of high-capacity floating twin-rotor systems can significantly reduce costs. Furthermore, the twin-rotor floating system design enhances wake recovery and achieves optimal comprehensive performance when the rotor spacing ratio (S/D) is 1.2 for the IEA 15 MW turbine. The coupled interactions induce periodic variations in aerodynamic performance, with the amplitude of these variations increasing with turbulence intensity. This research lays a theoretical foundation for advancing the design, platform optimization, and coupled computational analyses of large-capacity, large-scale floating twin-rotor wind turbine systems.

Investigating the Mechanism of Banxia Xiexin Decoction in Treating Gastritis and Diabetes Mellitus through Network Pharmacology and Molecular Docking Analysis

Background: Banxia Xiexin decoration (BXD), a complex prescription in Traditional Chinese Medicine (TCM), clinically acts as a treatment for gastritis and diabetes while its mechanism of treatment remains unknown. Objection: This study aimed to explore the common mechanism of BXD in treating gastritis and diabetes based on network pharmacology and molecular docking technology. Methods: The seven Chinese herbal components and drug targets were collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) for gastritis and diabetes using GeneCards, DisGeNET, Comparative Toxicogenomics Database (CTD), and Online Mendelian Inheritance in Man (OMIM) databases. Common drug and disease targets were imported into the STRING data platform for protein-protein interaction (PPI) analysis, and Cytoscape 3.7.2 software for network topology analysis, and core targets were filtered. Results: There were 124 components, 249 targets, 449 targets for gastritis, and 4005 targets for diabetes. After mapping, 83 BXD targets for gastritis and diabetes were obtained, and the targets with high correlation were STAT 3, JUN, TNF, IL-6, etc. More relevant targets were involved in the cancer pathway, AGE-RAGE signaling pathway of diabetic complications, fluid shear stress, and atherosclerosis pathway. Conclusion: This study preliminarily reveals that BXD may play a role in the treatment of gastritis and diabetes mellitus through multi-components, multi-targets, and multi-pathways, and proposes some potential "component-target-pathway" hypotheses in light of previous reports.

Análisis de una plataforma para apoyar en el diagnóstico del síndrome de ovario poliquístico

Polycystic Ovary Syndrome (PCOS) is a common endocrine condition among women of reproductive age and its early diagnosis prevents long-term complications; however, this diagnosis presents difficulties due to the variability of symptoms, cultural taboos and the need for laboratory and imaging tests interpreted by specialists in Gynecology. On the other hand, Artificial Intelligence (AI) techniques have shown great potential to help in the early detection of different diseases. Currently, women in rural and semi-rural areas have little access to specialists and studies, so it is considered useful to have a health platform, which includes AI techniques, in mobile and web environments, that supports the detection of PCOS. This article shows the result of the systems analysis for the aforementioned platform, presenting the functional and non-functional requirements compiled with the help of health professionals in General Medicine and Gynecology.

Posttrial Experiences in Sustainment of a Scaled Model of the Systems Analysis and Improvement Approach (SAIA-SCALE) in the Absence of External Funding in Manica Province, Mozambique.

Following the conclusion of a stepped-wedge cluster randomized trial of the Systems Analysis and Improvement Approach (SAIA) to optimize the prevention of mother-to-child HIV transmission cascade in Manica Province, Mozambique, we conducted a natural experiment to test the sustainability of the delivery model with limited financial inputs. District nurse supervisors were encouraged to continue to facilitate SAIA cycles in subordinate health facilities and provided phone credit and tablet access to upload implementation data. No additional resources (eg, funds for transport, refreshments, or supplies) were provided. Barriers to implementation were collected via conversations with district supervisors. Monthly facilitation of SAIA cycles continued in 11 of 12 (92%) districts and 13 of 36 (36%) facilities through 12 months posttrial, which declined to 10 districts and 10 facilities by the end of the 15-month posttrial period. Despite interest among district supervisors to continue implementation, logistical and financial barriers prevented visits to facilities not in close proximity to district management offices. Turnover of district supervisors resulted in replacements not having knowledge and experience facilitating SAIA. The lack of refreshments for facility staff and limited supplies (pens and papers) were cited as additional barriers. Despite the scalability of the SAIA model, it is susceptible to implementation decay without sufficient health system resources. Additional research is needed to test sustainment strategies that address identified barriers and enable continued delivery of the implementation strategy core components at a sufficient level of fidelity to maintain desired health system improvements and patient-level outcomes.

Scaling Graph Neural Networks for Large-Scale Power Systems Analysis: Empirical Laws for Emergent Abilities

Scaling Graph Neural Networks for Large-Scale Power Systems Analysis: Empirical Laws for Emergent Abilities

Global policy harmonization in creative commons licensing: A roadmap for balancing creator and user rights

This paper examines the necessity for global policy harmonization in Creative Commons (CC) licensing to prevent legal exploitation and ensure equitable protection for both creators and users. It highlights the challenges posed by inconsistent copyright laws across different jurisdictions, which often lead to vulnerabilities and copyright trolling. Through a detailed analysis of various legal systems, this paper identifies key inconsistencies and proposes international policy standards that balance creator and user rights. A comprehensive roadmap is outlined, featuring phased goals, an implementation framework, and mechanisms for monitoring and evaluation. The paper concludes with recommendations for future research and a call to action for policymakers to collaborate internationally, aiming to create a cohesive and fair digital content-sharing ecosystem.

Key Ingredients for the Modeling of Single‐Atom Electrocatalysts

AbstractSingle‐atom catalysis is gaining interest also because of its potential applications in a broad spectrum of electrochemical reactions. The reactivity of single‐atom catalysts (SACs) is typically modeled with first principles approaches taking insight from heterogenous catalysis. An increasing number of studies show that the chemistry of SACs is more complex than often assumed, and shares many aspects in common with coordination chemistry. This evidence raises challenges for computational electrocatalysis of SACs. In this perspective we highlight a few fundamental ingredients that one need to consider to provide reliable predictions on the reactivity of SACs for electrochemical applications. We discuss the role of the local coordination of the metal active phase, the need to use self‐interaction corrected functionals, in particular when systems have magnetic ground states. We highlight the formation of unconventional intermediates with respect to classical metal electrodes, the need to include the stability of SACs in electrochemical conditions and the role of solvation in the analysis of new potential catalytic systems. This brief account can be considered as a tutorial underlining the importance of treating the reactivity of SACs. In fact, neglecting some of these aspects could lead to unreliable predictions failing in the design of new electrocatalysts.

2.H. Round table: Health system description and comparison: lessons from the WHO/Observatory Insights series

Abstract The European Observatory on Health Systems and Policies has been working for more than 25 years on the systematic description, analysis and comparison of health systems in Europe. This workshop explores experiences so far with a new series of health system profiles, the Health Systems in Action (HSiA) Insights, launched in 2021 in collaboration with the WHO Regional Office for Europe. The first round of the Insights in 2021 was a pilot series, covering just five countries (Georgia, Kyrgyzstan, North Macedonia, Ukraine, and Uzbekistan). Since then, the series has grown to 13 countries in 2022 and in 2024 is covering almost all WHO Member States that are outside of the European Union (EU). The Insights aim to provide short and easily accessible documents that provide core information on a country’s health system, its key strengths and challenges, how it compares to other health systems in Europe, and how it impacts on the health of its population. This roundtable provides a platform for sharing experiences with devising, writing and using the series so far, bringing in country and comparative perspectives and involving the audience. The objectives of the roundtable are to a) identify best practices for the comparative description and analysis of health systems in the form of a series of country profiles; b) explore the challenges of drawing up country profiles where comparative data are lacking, incomplete or politicized; c) identify ways of disseminating and using country profiles; d) establish an opportunity for cross-country learning and skills development for the writing of health system descriptions and analyses. The roundtable will consist of four speakers. It will start with three very brief country presentations on the Insights for Israel, North Macedonia and Kazakhstan, followed by a brief comparative perspective on how to capture, compare and analyse health workforce trends across a broad set of countries, which is the Spotlight section of the 2024 round of Insights. This will be followed by a broad discussion with audience interventions to bring in the experience of other experts and countries. The moderated discussion will emphasise key learning points on how to devise a comparative series, how to write health system profiles and how best to use them to inform health policy-making. Key messages • The regular monitoring of health systems and policies is challenging, but essential for improving them. • Health system summaries require systematised approaches and up-to-date comparative data. Speakers/Panelists Ruth Waitzberg Technische Universitat Berlin, Berlin, Germany Yerbol Spatayev WHO Country Office Kazakhstan, Astana, Kazakhstan Simona Atanasova WHO Country Office North Macedonia, Skopje, Republic of North Macedonia Tomas Zapata WHO/Europe, Copenhagen, Denmark

Model‐based systems engineering and safety assessment: A workflow for mechatronic systems design

AbstractMechatronic systems become ever more complex because of their increasing number of interconnected safety critical components and sophistication. MBSE (Model‐based Systems Engineering) and MBSA (Model‐Based Safety Assessment) are the most commonly adopted approaches to deal with the design and safety analysis of mechatronic systems. Unfortunately, both approaches are normally adopted separately, especially in the earlier phases of system design, thus leading to a lack of communication between system engineers and the safety team. This work aims to fill that gap at a high level, that is, through process interaction. This paper proposes an enhanced V‐model for the design of safety‐critical mechatronic systems. It relates a system development process with specific safety assessment methods. Specifically, the proposed workflow details exchange flows between the RFLP (Requirements, Functional, Logical, Physical) method, the FHA (Functional Hazard Analysis), the FMEA (Failure Mode and Effects Analysis), the MBSA and simulation, and the FTA (Fault Tree Analysis). These analyses are complemented with multiphysics modeling and simulation to observe system behavior in functional and failure scenarios, with the aim of requirements verification. The design workflow has been applied to a winged Unmanned Aerial Vehicle to apply the parallel process and the necessary interaction of MBSE and MBSA approaches. The information flows between the individual activities proved effective for designing a safe system before the verification phase. The main benefit of the proposed workflow is providing both the design and safety team with some interaction points, thus avoiding a lack of safety‐critical analysis in the early phases of system design.

3.E. Scientific session: Environmental Health Tracking Systems: a tool for planetary health

Abstract Planetary health offers a good framework for better understanding the interconnection between human health and environmental changes, promoting effective cross-sector actions and partnerships, and ensuring policy coherence. Effective implementation of this conceptual framework requires monitoring and reporting on indicators relevant to planetary health that capture the scope, spatial and temporal scales of changes in natural systems that affect human health and well-being. An approach in that sense are the environmental public health tracking systems (EPHT), which imply the ongoing collection, integration, analysis, and interpretation of data at the same spatiotemporal scale about environmental hazards, and related human exposure and health effects, maintaining appropriate data protection measures. It aims to provide public-health decision makers with timely, accurate and systematic data for quantifying health impacts related to environmental factors. EPHT system are proposed as an essential tool for designing and monitoring policies and actions that prevent and reduce environmental health burdens (EHB) efficiently and cost-effectively, and as an alerting system against present and future climatic and health crisis. Pursuing such goals requires the use of health information systems that enable the monitoring and assessing of environmental health in multiple dimensions, considering specificities across different geographical and cultural settings. EPHT system requires defining a rationale on how to select the dimensions and indicators to be included. Common challenges for defining those indicators are related to the availability of data recording, data standardization, and the linkage, integration and sharing of databases. In parallel, it is also important to define a decision aiding tools in which evidence and data are understandable and inform about the extent to which specific policy goals are attained, tailoring such tools to the specific settings. Present session attends to answers to those challenges by sharing experiences from different contexts and countries Key messages • EPHT systems represent an effective tool for progressing in achieving planetary health goals and as a surveillance alerting system for future health crisis. • Adjusting EH data quality recording and analysis in EPHT systems is essential for improving resources assignment, and the effectiveness of healthy policies in reducing EHB.

Spectral element method for random vibration analysis of the vehicle-track coupling system

In this paper, we propose a new random vibration analysis model for the vertical vehicle-track coupling system, which combines the symplectic method and the spectral element method (SEM) to enhance calculation efficiency and accuracy. The model assumed that the vehicle is composed of a multi-rigid body with 10 DOFs, and its motion equation is derived using the traditional frequency analysis method. Tracks are considered periodic structures, and the part between sleeper support points is considered a substructure. The motion equation of the periodic track-substructure is established by spectral element method (SEM), and the propagation of vibration wave between the substructures is calculated by the symplectic method. The frequency responses of the vehicle-track coupling system are calculated by using the German low-interference irregularity spectrum and short-wave irregularity spectrum as excitation. Then, the rationality of this method is verified by comparing it with the results from the traditional symplectic method and simulations using Universal Mechanism software. The comparison shows that this method surpasses the traditional symplectic method in high-frequency accuracy while maintaining high computational efficiency. Although the finite element method also has the capability for high-frequency analysis, this method can calculate the high-frequency vibration of an infinitely long track using just one element, making it more suitable for the efficient analysis of vehicle-track coupling systems. Finally, the model is applied to analyze the distribution characteristics of the vibration response of the coupled system in the frequency domain.

Reliability analysis of anti-UAV systems: an analytical approach

Reliability analysis of anti-UAV systems: an analytical approach

Identifying the Complexity of the Food-Energy-Water Nexus Based on Emergy Analysis in Crop Production Systems of China

To elucidate the food-energy-water (FEW) nexus, the paper proposes a framework for multifunctional development objectives within the context of CPSs, integrating emergy analysis and the coupled coordination model. The article’s primary focus is on the utilization of blue and green water in the cultivation of a variety of food crops and the acquisition of purchased energy. The paper was evaluated according to three key indicators: stability, development, and sustainability. Furthermore, a quantitative evaluation of the trade-offs among the FEW nexus and its constituent sub-nexuses was conducted over the period from 2000 to 2022. The study revealed that China has witnessed an expansion in its total CPS inputs, with renewable inputs accounting for 32.89% and an average annual input-output ratio of 37.98%. The annual emergy values for food, energy, and water resources were 6.85 × 1023 Sej, 1.43 × 1023 Sej, and 7.91 × 1022 Sej, respectively. The annual growth rates were 2.16%, 2.11%, and 0.77%, respectively. The CPS exhibits an average proportion of green and blue water resources of 64.37% and 35.63%, respectively. The coupling coordination of the FEW nexus demonstrates a transition between years from mild dysfunctional recession to quality coordinated development, with the coordinated use of FEW resources increasing for maize, largely maintained for rice, and decreasing for wheat, soybean, and potato. The objective of this study is to provide differentiated strategies for regional food conservation and sustainable development worldwide.

Natural and socio-cultural factors of epidemics (plague, smallpox): The example of the Adyghe population of the Northwest Caucasus

Background. The article discusses the problem of the impact of epidemic diseases on ethnogenesis. As an ancient agricultural ethnic group in contact with nomadic and Mediterranean populations, the Adyghe were formed during periods of frequent epidemics of dangerous diseases caused by the process of animal domestication and subsequent impact of anthropogenic factors. The devastating effect of smallpox and measles pandemics was felt following the establishment of intensive trade exchange during the 2nd century CE by the Roman and the Han empires. The first plague pandemic (beginning with the “Justinianic Plague”, 542–543) mostly affected the Balkans and the Eastern Mediterranean. The second plague pandemic, the so-called “Black Death” (1346–1353), which appeared in the center of the Mongol Empire, quickly spread via caravan routes across most of Eurasia. The scale of the epidemic was influenced by the pathogenic complex that had developed by the 14th century, which included humans, the bacterial pathogenic agent itself, and its carriers (large rodents especially black rats, fleas). Factors such as famine caused by overpopulation, low standards of personal and public hygiene, the prevalence of wooden buildings in cities and towns, the fur trade, etc., also had contributory effects. Objectives. The study set out to identify the natural and the socio-cultural factors that influenced the spread of the plague and the smallpox epidemics in the North-West Caucasus. Methods. The data on which this study is based are formed from collections of narrative sources (Russian, Arabic-Persian, European), archaeological and historical-anthropological works, medical and genetic studies (electronic platforms: eLIBRARY.RU, Academia.edu, CyberLeninka, J-STAGE [Japan Science Technology Information Aggregator, Electronic]). Research methods: historical and comparative, on which basis a comparative analysis of the impact of the plague pandemic of the mid-14th century centering on contact between on nomadic and sedentary ethnic groups (Mongols and Russians, Mongols and Circassians) was carried out; the individualizing comparison method, which was used to identify the specific means by which the Circassian ethnic group overcame the Black Death pandemic; the systems analysis method, on which basis the roles of pathogenic complex and anthropogenic factors in the course of epidemics were compared. Results. The results of the analysis show that the population of the North-West Caucasus were affected by the Black Death plague of the mid-14th century to a significantly lesser extent than the urban centers of the Golden Horde, Rus’ and Europe. The serendipitous failure of the pathogenic complex in the former region was due to the following natural and anthropogenic factors: (1) the North-West Caucasus (more precisely, the entire area to the west of the Teberda River) was naturally bereft of effective carriers of the plague bacillus (marmots, gophers, etc.); (2) Matrega and Copa, the two contemporaneous Circassian towns serving as ports for the shipment of grain and other agricultural products, were located on the periphery of the Adyghe settlement area; (3) the dispersed, farmstead way of life among the estuaries and the complex network of peninsulas of the Kuban Delta, mountains and forests of the NWC contributed to the rapid adoption of quarantine measures; (4) a reliable vitamin-rich nutrition system (sturgeon and their caviar, goat meat and cheese, fruit, honey, etc.); (5) a well-developed system of hygiene and disease prevention (smallpox, malaria), whose existence was retrospectively established based on sources from the 17th–19th centuries. Conclusion. The plague pandemic that took place within the unified space of Mongol imperial communications had a huge impact on the historical fate of the Adyghe ethnic group, which was manifested in their paradoxical numerical growth against the backdrop of general depopulation. Against the backdrop of frequent epidemics, Adyghe developed strict and quite effective rules for preserving life and health, covering disease prevention, personal and public hygiene. Some particularly impressive practices, if not created by Adyghe folk medicine, then preserved there and later transmitted to Ottoman Turkey and Western Europe, was manifested in the original practice of smallpox inoculation.

Technique of functional simulation as a tool for providing the required quality of fortified bakery products

Relevance. The problem of irrational and unbalanced nutrition is relevant for almost all regions of Russia. There is a need to enrich everyday products with micronutrients that are of particular importance in the diet. Fortified bread and bakery products with specified consumer properties in the diet can be one of such valuable products.Methods. The methodology of structural analysis and design of systems (Structured Analysis and Design Technique, SADT) is often used in life cycle management of complex high-tech products and has not found wide application in the food industry. The authors substantiate the need to introduce tools for functional and graphical modeling of business processes that implement the SADT methodology in life cycle management to ensure the quality of finished bakery products.Results. An original generalized functional and logical model of the process “To produce enriched bread (bakery products) with regionally significant micronutrients” has been developed. The analysis of the technology of enriched bakery products, carried out at various levels of decomposition of the process, revealed that the quality of the finished product is significantly influenced by the choice of the technological stage of applying the components of the mixture proposed for the enriching composition. It has been established that preference should be given to organic forms of additives — components of the enriching composition. To preserve the nutritional properties of bakery products, an enriching composition is proposed to be applied to the surface of the finished product. The proposed method has been tested in experimental production conditions. Its manufacturability and controllability of the proposed technical solutions are proved. The approach to functional and graphical modeling of food technologies developed by the authors on the example of bakery products opens up prospects for improving the quality of finished products and can be widely used in food engineering.

Performance and economic analysis of various geothermal power plant systems: Case study for the Chingshui geothermal field in Taiwan

Geothermal power plants are a source of sustainable energy. However, their performance is influenced by various factors, including production temperature and well locations, and few studies have investigated the relationships between these factors. To address this research gap, the present study developed integrated models of a geothermal reservoir and a variety of power plant systems. By using COMSOL and MATLAB, we conducted simulations for the Chingshui geothermal field in Taiwan to investigate the performance and economic feasibility of five common types of geothermal power plant systems over their operational lifetime under different well configurations. The key findings of this investigation are as follows. First, the locations of production wells are a primary factor influencing production temperature. Constructing wells in low-permeability zones results in considerable increases in the pressure differential in the injection pump; thus, wells should not be constructed in such zones. Second, as system flow rate and well depth decrease, production temperature remains relatively stable, net power output decreases, and system efficiency increases. This efficiency increase is caused by decreases in pumping power requirements at lower flow rates and shallower well depths. Finally, among the investigated systems, the organic Rankine cycle system had the lowest electricity production cost and shortest payback period within the enthalpy range of 500–1000 kJ/kg. Double-flash (DF) and DF–binary systems are also viable options when the mass flow rate is 10–20 kg/s and the enthalpy is 700–800 kJ/kg. Overall, the results of this study offer valuable insights for the design of geothermal power plants, thereby contributing to the optimization of renewable energy systems.

Mathematical Modeling and Indirect Carbon Emission Reduction Analysis of Urban Wastewater Treatment Systems Under Different Temperature Conditions

In the context of achieving the two-carbon target, this study utilized a wastewater treatment plant in Shenyang City as a case study to accurately calculate indirect emissions related to energy and chemical consumption within the energy-intensive wastewater treatment industry. Sumo software was employed for precise mathematical modeling. Considering the operational characteristics of wastewater treatment plants in cold regions, this study innovatively divided the annual operation cycle into two periods, namely normal temperature and low temperature, and determined the optimal operational parameters under a low-carbon mode. The results indicate that precise regulation of dissolved oxygen concentration to 0.5–1.5 mg/L (normal temperature period) and 1–2 mg/L (low temperature period) can significantly reduce carbon emissions related to electricity consumption by 13,781.9 t CO2-eq. From the perspective of chemical consumption, adjusting the dosage of polyaluminum chloride (PAC) to 75% and sodium acetate to 70% during the normal temperature period can lead to a reduction in indirect carbon emissions of 1614.4 t CO2-eq compared to the same period last year. During the low-temperature period, by reducing the dosage of polyaluminum chloride to 80% and sodium acetate to 75%, the indirect carbon emissions can be reduced by 1557.3 t CO2-eq compared to the corresponding period last year. After optimization, USD 1.49 million can be saved. This study simulated the operation conditions of cold-region urban wastewater treatment plants at different times to effectively control carbon emissions resulting from energy and chemical consumption in wastewater treatment. This result can provide innovative ideas for energy saving and carbon reduction in cold-region wastewater treatment plants.