Concept Of Systems Research Articles

Performance-Based Seismic Design for Bridge Bents Retrofitted with BRBs Using the Ductility Demand Spectra of SDOF Oscillators with Bilinear Fuses

ABSTRACT Reinforced concrete bridge bents with double columns in bridge substructures are commonly used, but it has suffered severe damage during strong earthquakes. The seismic retrofit with structural fuses is used to effectively mitigate seismic damage of bridge bents. To obtain the displacement ductility demand for dual systems including the primary structure (PS) and structural fuses (SF), the corresponding ductility demand factor spectra were developed. The interaction between the PS and SF is described by defining two parameters of dual systems: the yield displacement ratio (α) and the initial stiffness ratio (β), and the influence of α, β, and strength reduction factor on the ductility demand factor spectra are also analyzed. For seismic retrofitting in bridge bents, buckling-restrained braces (BRBs) are used as energy dissipation fuses, and the steel core lengath of BRBs with three configurations forms, including diagonal, inverted-V, and toggle systems, are also explored. Then, based on the structural fuses concept and ductility demand factor spectra of dual systems, a performance-based seismic design procedure is proposed for bridge bents retrofitted with BRBs to ensure that the bridge bents maintain the target ductility under design-level earthquakes. Finally, the procedure was utilized to design the bridge bents with BRBs, and the procedure’s feasibility was verified by nonlinear time-history analysis.

A New Wave in Biometric System: Systematic Study incorporated with Artificial Intelligence

Biometric system is a technique used to identify a person using its personal identification methods. The main concept of biometric systems is to provide confidentiality and security to the user. A number of biometric systems are introduced but some systems are widely used and are famous because of their usage and security they provide. Physiological and Behavioral biometrics are the two types of biometric systems. Biometric systems include physiological biometric like face recognition, finger print recognition, ir is recognition and behavioral biometrics like signature recognition and voice recognition. All these recognition systems are discussed in this research paper. Biometric systems work on three levels: Enrollment, Verification, and Identification. Enrollment is the process in which patterns are captured from the user and stored in the database. Verification means to confirm that the sample entered by the user belongs to him or not. When the user wants to access the data then the user must use his/her biometrics that the systematic hacks that the person who wants to access the data is the real owner of the data or not. This process is identification. All three levels are the working levels of the Biometric System. In earlier years, biometrics was used only at ground levels to provide basic security to data but now the tables have turned. It is playing a major role in providing security to our data. Biometrics are not only used in day-to-day life in phone unlocking, phone assistants, attendance systems but also used at advanced levels like in airports, border security, cloud computing etc. In this research paper, we will discuss the future scope of biometric systems and how it could even change the future.

Synthetic molecular switches driven by DNA-modifying enzymes

Taking inspiration from natural systems, in which molecular switches are ubiquitous in the biochemistry regulatory network, we aim to design and construct synthetic molecular switches driven by DNA-modifying enzymes, such as DNA polymerase and nicking endonuclease. The enzymatic treatments on our synthetic DNA constructs controllably switch ON or OFF the sticky end cohesion and in turn cascade to the structural association or disassociation. Here we showcase the concept in multiple DNA nanostructure systems with robust assembly/disassembly performance. The switch mechanisms are first illustrated in minimalist systems with a few DNA strands. Then the ON/OFF switches are realized in complex DNA lattice and origami systems with designated morphological changes responsive to the specific enzymatic treatments.

A Simple Controller Design for a Class of Uncertain Nonlinear Control Systems Guaranteed to Achieve Arbitrary Exponential Convergence Rates

This paper first proposes the concepts of high-efficiency stabilizable systems and high-efficiency controller. Then, using the time-domain analysis methodology, it is proved that a class of uncertain nonlinear systems can indeed become high-efficiency stabilizable systems under certain conditions; at the same time, we also provide its corresponding high-efficiency controller. Finally, some numerical simulation results are offered to illustrate and demonstrate the correctness of the main theorem and the design process of such a high-efficiency controller

Nucleic acid-loaded poly(beta-aminoester) nanoparticles for cancer nano-immuno therapeutics: the good, the bad, and the future.

Immunotherapy has emerged as a promising approach to cancer treatment, offering improved survival rates and enhanced patients' quality of life. However, realizing the full potential of immunotherapy in clinical practice remains a challenge, as there is still plenty of room for modulating the complexity of the human immune system in favor of an antitumor immunogenicity. Nanotechnology, with its unique properties, holds promise in augmenting the efficacy of cancer immunotherapies in biotherapeutic protection and site- and time-controlled delivery of the immune modulator biologicals. Polymeric nanoparticles are promising biomaterials among different nanocarriers thanks to their robustness, versatility, and cost-efficient design and production. This perspective paper overviews critical concepts in nanometric advanced delivery systems applied to cancer immunotherapy. We focus on a detailed exploration of the current state of the art and trends in using poly(beta-aminoester) (pBAE) polymers for nucleic acid-based antitumor immunotherapies. Through different examples of the use of pBAE polymers reported in the literature, we revise the main advantages these polymers offer and some challenges to overcome. Finally, the paper provides insights and predictions on the path toward the clinical implementation of cancer nano-immunotherapies, highlighting the potential of pBAE polymers for advancements in this field.

Material Research for Hypersonic Travel

The goal of travelling faster than five times the speed ofsound, or hypersonic travel, has enormous potential to transform global transportation, defence capabilities, and space access. However, materials and structures face severe obstacles because to harsh aerothermal conditions inherent in high Mach number trajectories. This work focuses on new approaches to do research for ceramics, composites, and refractory alloys that are essential for building hypersonic vehicles. Essential design concepts for primary structures, heat shielding, and propulsion systems are covered, highlighting the critical role that theory and computation play in comprehending the links between structure, property, and processing. The remarkable high-temperature capabilities, stiffness, strength, and corrosion resistance of ceramic materials are highlighted in the study as reasons for theirincreasing importance in aircraft applications. Based on their distinct features, titanium alloys, nickel aluminides, metal- matrix composites, carbon-carbon, and ceramic-matrix composites stand out as top choices for a high temperature. In pursuit of lightweight, high- performance materials for hypersonic travel, this paper summarises ongoing researchefforts, evaluates the state of the art, offers insights into technological hurdles, and identifies areas that require future improvement. To explore the complex field of hypersonicmaterials design and selection in this research, this paper hope to shed light on the critical role that materials science plays in pushing the boundaries of aerospace technology by investigating the special difficulties presented by hypersonic flight as well as the characteristics and potential of various material classes.

KEYS TO CREATING AN EFFECTIVE REGIONAL INNOVATION INFRASTRUCTURE

Integration processes in science, education and production are driven by the acceleration of scientific and technological progress, the introduction of innovative scientific developments into mass production and the informatisation of the economy. The development of knowledge-intensive industries places new demands on the training and retraining of innovation-sensitive personnel, as well as on science, education and the economy as a whole, which are currently unable to develop effectively independently and adapt to changes in technology and engineering. The purpose of the article is to find promising areas for the development of education and science based on their integration with business entities not only within the limited space of regions, but also on the basis of spatial integration of territories with a special geographical location. Methodology. The necessary and socially significant conditions for the integration of science, education and business are the achievement of knowledge and skills, goals and values related to the acceleration of the reproduction of innovation potential in society, awareness of the role of science, education and business in solving problems of innovation development, and also their integration interaction in this area. Practical implications. Three main levels of economic systems are allocated: individual, organisation, and region. It has been determined that the degree of influence of innovation processes on them is determined by the presence and condition of three factors necessary for the formation of innovation susceptibility (stabilising, activating and structural). Value/Оriginality. Based on the concepts of the main innovation systems and the necessary conditions for innovative economic growth, the authors have clarified the content of the category "innovation receptivity of the region". The paper also reveals the basic principles of building a model of innovation receptivity and determines the degree of interdependence and interdependence between its constituent elements based on a systematic approach.

Advance Sequential Models for Asset Trading: Leveraging LSTM & RNN with Stochastic RSI and MACD Indicators

Abstract: The goal of stock market prediction is to forecast a company's financial stocks' future worth. The application of machine learning, which creates predictions based on the values of the current stock market indices by training on their prior values, is a recent trend in stock market prediction technologies. Machine learning utilises many models to facilitate accurate and reliable prediction. The study focuses on stock value prediction using regression and LSTM-based machine learning. Considered factors are volume, low, high, open, and closed. We also employ algorithmic trading, which is a technique for automatically executing orders based on pre-programmed trading instructions that take volume, price, and time into account. This kind of trading aims to take advantage of a computer's speed and computational power in comparison to human traders. Algorithmic trading has become more popular in the twenty-first century, prompting traders to respond. According to a 2019 research, 92% of traders use algorithms rather than people. The moving average convergence & divergence and the relative strength index are our primary tools. One technical tool employed in financial market analysis is the relative strength index, or RSI. Charting a stock's historical and present strength or weakness with retail and institutional traders is the goal. Investment banks, mutual funds, pension funds, and hedge funds all utilise it extensively when they need to perform trades. based on the closing prices of a recent trading period, too fast for a human or the market. It is important to distinguish the indicator from relative strength. The RSI measures the speed and size of price changes and is categorised as a momentum oscillator. The rate at which prices rise or fall is known as momentum. The ratio of higher closes to lower closes, where closures are defined as averages of absolute values of price changes, is the relative strength, or RS. The RSI determines momentum by dividing higher closes by overall closes, or stocks with more or stronger positive moves. The RSI is most commonly employed during a 14-day period and is scaled from 0 to 100, with 70 and 30 representing the high and low readings, respectively. Alternately shorter or longer outlooks are associated with shorter or longer time frames. Although they happen less frequently, high and low levels— 80 and 20, or 90 and 10—indicate increased momentum. J. Welles Wilder created the relative strength index, which was first published in the June 1978 issue of commodities magazine and in his 1978 book New concepts in technical trading systems, and in commodities magazine in the June 1978 issue.

Hybrid PV Systems – Optimizing CPV and SiPV Ratio to Increase Sustainability of Hydrogen Production

AbstractThis paper establishes the concept of hybrid PV systems where the ratio of different photovoltaic (PV) technologies is optimized so that their combined output profile best matches user requirements. The method is presented and applied to a case study where a two‐axis tracking concentrating photovoltaic (CPV) and a single‐axis silicon photovoltaic (SiPV) system installed at a sub‐tropical location in Australia, are to power the production of hydrogen by electrolysis. The analysis quantifies the performance of the PV systems from data gathered at the site and reveals the complementarity of these two systems in their output at different timescales. An optimization problem is then defined that seeks the optimal ratio of CPV and SiPV to achieve high annual power output and, importantly, a good match between power supply and demand profiles. The benefits of this approach are illustrated for a green hydrogen power‐to‐gas‐to‐power plant under two operating modes. For this case study, the optimal PV ratio of 0.33CPV: 0.67SiPV leads to reduced dependence on the electricity grid, and a maximum guaranteed minimal take‐up of hydrogen over all months in a year. Overall, the sustainability of the plant is increased without the need for additional storage, and therefore additional resources.

Enhancing USVs navigation based on minimum error entropy of GPS vector tracking

In recent years, unmanned surface Vessels (USVs) have increasingly been used for river monitoring and hydrological surveys. USVs rely on global navigation satellite systems (GNSS) for navigation. However, signal blocking can cause the traditional GNSS vector tracking (VT) loop to increase the code phase and carrier frequency errors, leading to higher positioning errors that do not meet USVs’ requirements. To address this problem, we propose a VT method based on the minimum error entropy (MEE) in the signal tracking module. The MEE Kalman filter is adopted as the loop filter to mitigate code phase and carrier frequency errors, reduce non-Gaussian noise and random errors generated by signal blocking, and enhance the positioning accuracy and robustness of USV navigation. The measurement noise covariance of the loop filter was adjusted adaptively using the signal carrier-to-noise ratio. A field experiment was conducted using a commercial GNSS receiver as reference. The results demonstrate a 19.3% improvement in positioning accuracy compared with the traditional method in an open environment. Moreover, the proposed method maintains stable operation and achieves a 79.4% improvement in positioning accuracy during signal blocking. This novel algorithm offers a new concept for USV navigation systems to cope with signal blocking.

Correlation Between Understanding Body Movement Systems and Habits of Maintaining Bone Health in Elementary School Students

This research aims to determine the correlation between elementary school level students' understanding of the concept of movement systems in humans and their habits in maintaining bone health. Because maintaining bone health is something that must be paid attention to, especially in children at their growing age. Habits of maintaining bone health must be supported by elementary school level students' knowledge regarding the process of growth and development in the human body. This research uses a correlation analysis method, with the Product Moment correlation technique. The number of samples used in this research was 35 class VI students from 5 elementary schools in Banda Aceh City. The instruments used are test questions related to the movement system material in the chapter on how our bodies move, and also a student response questionnaire regarding their daily habits in maintaining bone health. The research results can be concluded that the correlation obtained through the Product Moment correlation test can determine the relationship between the two variables at 0.64 with strong criteria. So there is a strong correlation between the first variable, namely the level of understanding of students' concepts regarding how the body moves and the second variable, namely their habits of maintaining healthy bones. The results of the correlation coefficient obtained show changes in students' habits as they understand the concepts they gain.

Stimuli-Induced Controls of Magnetic and Photophysical Properties Using Liquescent Open-Shell Ionic Molecular Systems.

This study explores the remarkable properties of liquescent open-shell ionic molecular systems, emphasizing the magnetic and photophysical characteristics arising from their associated structures in the condensed state under various conditions. Well-investigated open-shell molecules, namely, phenothiazine, dihydrophenazine, and tetrathiafulvalene radical cations, and bis(malononitriledithiolato)nickel(III) anionic complexes were examined, and the concept of liquescent open-shell ionic molecular systems was devised. Transformations in their associated structures are induced by external stimuli, resulting in significant variations in their physical properties. These experimental findings open new avenues for exploring and applying stimuli-responsive molecule-based materials.

Stability analysis and application of a synchronverter-based control approach to DFIG-based wind energy conversion systems

This work proposes an enhanced control approach relying on the synchronverter concept for wind energy conversion systems (WECSs) based on the doubly-fed induction generator (DFIG). It consists of incorporating a virtual filter resistor into the control loop of the synchronverter, which is associated with the grid-side converter (GSC) aiming at emulating the behavior of a synchronous generator when providing ancillary services such as frequency support. A comprehensive state-space representation is derived to demonstrate that the virtual filter resistor is essential to ensure stability. After the proper adjustment of the model, it is possible to verify the effectiveness of the synchronverter-based control applied in the IEEE 14-bus modified system employing parameters obtained from a real power plant. The results show that the application of the introduced method results in less severe frequency dips and faster transient response during frequency support even when compared with the case in which only synchronous machines are connected to the grid.

Dynamics of the atom-polyatomic molecule conversion with quantum decoherence

Based on the mean-field approximation and the two-mode Bose–Hubbard model, we investigate the dynamical properties of atom-polyatomic molecule conversion systems under dissipation and dephasing. For such a many-body system problem, we partition phase space based on the states of fixed points, study the movement of fixed points and the transition to attractors in an open system. Additionally, for all the atoms that constitute a molecule, depending on whether the species of these atoms are identical or not, we introduce the innovative concepts of unbiased and biased systems. We discover that in biased conversion systems under particle losses, the evolution trajectories are distributed on a three-dimensional Bloch sphere with an internal structure. There exists a significant difference from the two-dimensional Hilbert space of an unbiased system. Finally, we discuss the sweeping rate of the time-varying magnetic field applied externally to the conversion system, and analyze a feasible scheme for the quantum coherent synthesis of triatomic molecules.

Systematization of the Sustainable Development Concept of Territorial Socio-economic Systems in the Context of Prospects for the Use of Renewable Energy

The issue of monitoring the achievement of the goals of sustainable development of territories is considered in relation to the modernization of the RF energy sector and commissioning of capacities based on renewable energy sources. A system of balanced indicators is recommended, which allows the formation of a transparent structure for implementation of the development strategy of a separate territory. A strategic map is proposed, on the basis of which the goals and corresponding indicators of the directions of its blocks were determined for the state and regional levels. The proper definition of sustainable development of territorial socio-economic systems (TSES) in the context of the prospects for the use of renewable energy is formulated. Future directions of research are mentioned, which include conducting econometric modeling to determine the impact of selected indicators on the sustainable development of TSES.

Linear response of molecular polaritons.

In this article, we show that the collective light-matter strong coupling regime where N molecular emitters couple to the photon mode of an optical cavity can be mapped to a quantum impurity model where the photon is the impurity that is coupled to a bath of anharmonic transitions. In the thermodynamic limit where N ≫ 1, we argue that the bath can be replaced with an effective harmonic bath, leading to a dramatic simplification of the problem into one of the coupled harmonic oscillators. We derive simple analytical expressions for linear optical spectra (transmission, reflection, and absorption) where the only molecular input required is the molecular linear susceptibility. This formalism is applied to a series of illustrative examples, showing the role of temperature, disorder, vibronic coupling, and optical saturation of the molecular ensemble, explaining that it is useful even when describing an important class of nonlinear optical experiments. For completeness, we provide Appendixes A-C that include a self-contained derivation of the relevant spectroscopic observables for arbitrary anharmonic systems (for both large and small N) within the rotating-wave approximation. While some of the presented results herein have already been reported in the literature, we provide a unified presentation of the results as well as new interpretations that connect powerful concepts in open quantum systems and linear response theory with molecular polaritonics.

Media Systems and Media Capture in Turkey: A Hybrid Approach

<p>Hallin and Mancini's media systems model did not include Turkish media in their landmark study that introduced the concept initially. Later attempts that tested Turkey's media system found it to be somewhat closer to the <em>Mediterranean model</em> and <em>pluralist polarised</em> model. Yet the media landscape shifted so quickly in Turkey, that these categorizations rapidly lost their grip in the last two decades. We propose that the Turkish media system shifted to become a hybrid media system based heavily on media capture. Three of Hallin and Mancini media systems concepts and framework of analysis stand out in the Turkish media system shift: political parallelism, journalistic professionalism (ethics), role of the state and ownership concentration. Hence this study aims to explore this hybrid model in associating media systems and media capture approaches in Turkey. In explaining the shift to a hybrid media system in Turkey we acknowledge that domestic political factors and media policy/policy makers need to be taken into account as well as newsmakers' attitudes, i.e. journalists and their journalistic integrity and finally the people and their conflicting needs of stability versus freedoms (of expression/against corruption etc). The article proposes that in this hybrid system approach, relationships of media fear determine the extent to which successive governments in Turkey attempt at media capture.</p>

Thermoacoustic Fano-based bistable energy converters: A new concept of thermoacoustic engine

In this work, we propose a highly efficient thermoacoustic energy converter based on the concept of Fano-based bistable systems. The proposed device, in its simplest version consists of a bilayer polymeric cylinder with harder core and softer and thinner shell. The heat source enforced at the core-shell interface induces thermo-mechanical stress fields. The stress field causes the occurrence of wrinkling patterns in the shell and the release of acoustic energy by a snap-through-buckling mechanism. We show that, when the shell is acoustically resonant at a specific frequency, the synergetic interplay of snap-through and Fano-resonances is capable of producing high amplitude and long-lasting pressure oscillations. In other words, under specifics conditions, the synergetic interaction between wrinkling instabilities and Fano resonance is able to extract mechanical energy from the heat source. The efficiency of the system in converting heat-into-work under resonant conditions is at least 6 times higher than that out of resonance. Notably, for a temperature difference of 1 K between the heat source (the hot thermal reservoir beneath the resonant shell) and the surrounding water (the cold thermal reservoir above the resonant shell), the system may reach a conversion efficiency above 70% of the theoretical Carnot efficiency. The so-generated mechanical oscillations can be converted in electrical energy for instance by using sound-to-energy converting systems such as conventional loudspeakers. The characteristics of the heat source have been selected to be representative of low-grade thermal sources (e.g. waste-heat, in particular intermittent sources) abundantly available in natural, and industrial contexts. Importantly, the systems may be adapted to many different geometries spanning from the proposed core-shell cylinders in which the heat source can be either inside the tube (for instance an exhaust gas/liquid outlet) or outside the tube, to plates (like a solar panel system).

Circular economy ideas in the practice of industrial ecosystems in Russia

The arrival of the new phenomenon “industrial ecosystem” to the field of production organisation makes investigating it particularly relevant. The paper focuses on describing its essence, indispensable structural elements, as well as delves into the practical significance allowing for the trends in Russia’s technological and ecological development. Methodologically, the paper is based on the concepts of industrial revolution, circular and digital economies. Methods of desk research and systematisation are used. According to the findings, the concept “industrial ecosystem” appeared within industrial ecology and represents a kind of a business ecosystem. In Kleiner’s systems concept, this type of ecosystem is considered as a total of an industrial cluster, a platform, a network, and an incubator. Comparative analysis of various forms of production organisation allows identifying industrial cluster as the most appropriate basis of the ecosystem. It is proved that the digital platform, the communication and logistics network, and the business incubator (technology park) are important for ensuring efficient operation of an industrial cluster. The paper validates the treatment of industrial ecosystems as a transitional form between natural (biological) and non-natural (business) ecosystems. The goal orientation of industrial ecosystem is handling both socioeconomic and environmental problems due to setting up closed-loop industrial cycles. The paper presents an original scheme of an ecosystem taking into account the principles of circular economy: industrial enterprise – circular industrial cluster – industrial ecosystem.

Validation of graph sequence clusters through multivariate analysis: application to Rovash scripts

This paper introduces the concept of pattern systems that evolve, with a focus on scripts, a specific type of pattern system. The study analyses the development of different script systems, known as scriptinformatics, with a focus on the historical Rovash scripts used in the Eurasian steppe. The aim is to assess the traditional classification of historical inscriptions, referred to as script relics, into distinct Rovash scripts. Clustering and ordination techniques were used to perform multivariate analyses on Rovash scripts and inscriptions. The study presents two new measures, the script-specific holophyletic index and the joint holophyletic index, for evaluating trees produced by hierarchical clustering. The results indicate that holophyletic indices can validate the traditional assignment of inscriptions to scripts through phylogenetic tree evaluation. This method can be extended to include pattern systems with evolutionary properties and graph sequences derived from them, as well as additional scripts and inscriptions.