Portrait Analysis Research Articles

Formation of Alfvénic supernonlinear waves in a plasma containing double spectral distributed electrons

The characteristics of nonlinear and supernonlinear Alfvén waves propagating in a multicomponent plasma composed of a double spectral electron distribution and positive and negative ions were investigated. The Sagdeev technique was employed, and an energy equation was derived. Our findings show that the proposed system reveals the existence of a double-layer solution, periodic, supersoliton, and superperiodic waves. The phase portrait and potential analysis related to these waves were investigated to study the main features of existing waves. It was also found that decreasing the electron temperature helps the superperiodic structure to be excited in our plasma model. Our results help interpret the nonlinear and supernonlinear features of the recorded Alfvén waves propagating in the ionosphere D-region.

Research on the potential of integrated vehicle control with closed-loop phase portrait analysis

The phase portrait is an important tool for analyzing vehicle stable region widely utilized in vehicle dynamic control systems. At handling limits, traditional open-loop vehicle stable region constraints will restrict the vehicle control ability, while the closed-loop actuator interventions can help states outside the open-loop stable region converge back to stable origin, which is more suitable for constraining vehicle states under extreme working conditions. This article systematically analyzes the potential of integrated vehicle control with closed-loop phase portrait. Firstly, a vehicle dynamic model considering actuator dynamics and tire transient characteristics is established. Then, a numerical optimal control method for calculating closed-loop controllability region is introduced. The controllability region under different friction coefficients, vehicle speeds, convergence time, vehicle steering response characteristics, actuator time constants, and tire transient characteristics are discussed and analyzed. In terms of different control inputs combinations, this article displays the controllability regions under different front steering angles, rear steering angles, direct yaw moments, and their synergistic performances. Control input laws derived from numerical optimization are summarized in two specific directions. Finally, a comparative analysis of open-loop stable regions and closed-loop controllability regions confirms the superiority of the proposed method. Potential applications of the systematic analysis are also discussed.

Synchronization of Chaotic Satellite Systems with Fractional Derivatives Analysis Using Feedback Active Control Techniques

This research article introduces a novel chaotic satellite system based on fractional derivatives. The study explores the characteristics of various fractional derivative satellite systems through detailed phase portrait analysis and computational simulations, employing fractional calculus. We provide illustrations and tabulate the phase portraits of these satellite systems, highlighting the influence of different fractional derivative orders and parameter values. Notably, our findings reveal that chaos can occur even in systems with fewer than three dimensions. To validate our results, we utilize a range of analytical tools, including equilibrium point analysis, dissipative measures, Lyapunov exponents, and bifurcation diagrams. These methods confirm the presence of chaos and offer insights into the system’s dynamic behavior. Additionally, we demonstrate effective control of chaotic dynamics using feedback active control techniques, providing practical solutions for managing chaos in satellite systems.

The bifurcation, chaotic behavior and exact solutions of the fractional stochastic Jimbo–Miwa equations

The Jimbo–Miwa equation is the second equation in the KP hierarchy of integrable systems. In this paper, this equation is extended and introduced with the stochastic process and fractional derivatives. Firstly, the phase portrait of the Hamiltonian system generated by it is studied to understand its bifurcation behavior. Additionally, non-periodic and periodic perturbation terms are added to this system. Different values are assigned to the parameters in the perturbation terms to analyze its sensitivity and the resulting chaos is obtained. Finally, through integration techniques, the expression of the solution of this equation is obtained. These solutions are related to rational functions, trigonometric functions, exponential functions and Jacobi elliptic functions. To observe the form of the solutions more intuitively, 3D and 2D numerical simulations are conducted on the solutions and the solution images of the stochastic fractional differential equation are given by Matlab software. Compared with the existing literature, the research on the stochastic fractional equation of this equation is relatively rare and the analysis of the phase portrait is even scarcer. Our solution method is quite different from that in the previous literature. Therefore, this paper is novel. The conclusion of this paper will be of great help for the practical application of this equation.

Nurses’ experiences and sense making of COVID-19 redeployment and the impact on well-being, performance, and turnover intentions: A longitudinal multimethod study.

BackgroundDuring Covid-19 nurses were redeployed to new teams and specialties at a level never previously experienced. Little is known about how nurses made sense of and coped with this situation and what we can learn from this for future redeployment approaches. ObjectivesWe sought to understand how nurses made sense of ongoing redeployment during the COVID-19 pandemic and how this related to their psychological distress, burnout, turnover intentions, and perceived performance DesignA longitudinal multi-method design. (ISRCTN: 18,172,749). Setting(s)Three acute National Health Service (NHS) Trusts in England, selected for diversity in geographical location and ethnicity, with different COVID-19 contexts. ParticipantsSixty-two nurses (90 % female; 83 % white) who experienced different types of redeployment during the pandemic, with an average of 17 year's post-registration experience (mean age 41 years). MethodsWe gathered both interview and survey data from 62 nurses across two or three time points in 2020–2021 and sought to find commonalities and differences in patterns of experience using Pen Portrait analysis. ResultsThe pandemic redeployment process was life-changing for all nurses, personally and professionally. The research uncovered an intertwined pattern of identity and sensemaking as nurses coped with COVID-19 redeployment. Three sensemaking ‘journeys’ were evident, involving professional identity as a nurse and identification with one's organisation. Nurses in journey one: ‘Organisational Identification and Professional Identity Maintained’ (n = 28) had the best outcomes for wellbeing, burnout, performance, and retention. Those experiencing the ‘Devaluation of Organisational Identification But Maintenance of Professional Identity’ journey (n = 24) maintained their professional identity, but their organisational identification deteriorated. Journey three nurses: ‘Devaluation of both Organisational Identification and Professional Identity’ (n = 10) had the worst outcomes for wellbeing, burnout, performance, and retention. A salient nurse identity triggered stoicism and resilient behaviours while external cues of control, support and contextual awareness affected organisational identification. ConclusionsNurses made sense of their experiences of redeployment during Covid-19 differently which, in turn affected their outcomes. Given the stark differences in how nurses perceived their psychological distress, burnout, turnover intentions and performance across the journeys, the importance of understanding the cues (e.g. having autonomy) associated with each journey is apparent. Thus, our research provides clear guidance for managers to help them support nurses during redeployment.

Parametric controllable planar multi-scroll chaotic attractors in a 3-D memristive tabu learning single neuron model

In this paper, a three-dimensional (3D) autonomous tabu learning single neuron model is proposed, which is achieved by using a sinusoidal activation function and introducing a memristor synapse. This model exhibits the remarkable capability to produce a series of planar multi-scroll chaotic attractors, and its unique feature lies in the ability to control the number of scrolls. The investigation of the planar multi-scroll chaotic attractors and its dynamical behaviors is conducted through the analysis of phase plane portraits, bifurcation diagrams, and spectral entropies. The numerical simulations unveil a compelling relationship between the number of chaotic scrolls and specific control parameters governing the model. To further validate the findings, a 3D autonomous tabu learning single neuron model is implemented on a digital hardware platform. In an effort to extend the practical significance of this research, the multi-scroll chaotic phenomenon generated by the proposed model is deployed for image encryption. The fusion of mathematical modeling, digital hardware implementation, and practical application underscores the universality and significance of the proposed single neuron model in the fields of chaotic systems and engineering applications.

Nuclear acoustic envelope soliton in a relativistically degenerate magneto-rotating stellar plasma

The study explores a model called Relativistic Degenerate Magneto-Rotating Quantum Plasma (RDMRQP), which comprises a static heavy nucleus, an inertial non-degenerate light nucleus, and warm non-relativistic or ultra-relativistic electrons. The focus is on observing the emergence of Nucleus-Acoustic Envelope Solitons (NAESs). Using the reductive perturbation method, a Nonlinear Schrödinger equation (NLSE) is derived to characterize the properties of NAESs. We have analysed the Peregrine breather soliton solution. The investigation reveals that the temperature of warm degenerate species, plasma system’s rotational speed, and the presence of heavy nucleus species can alter the fundamental features (height and width) of NAESs in the WDMRQP system. The study emphasizes the existence of only positive NA wave potential. Additionally, a phase plane analysis is conducted to gain a deeper understanding of the parametric dependencies. Through detailed mathematical and numerical analysis, the study avoids overloading with complex mathematics while demonstrating parametric dependence via phase portrait analysis. The research augments the envelop soliton model with breather mode solutions and discusses modulation instability using the Benjamin-Feir Index, highlighting the significance of solitons in star formation. Envelop solitons, stable waves within stars and proto-stars, influence energy transport and stellar evolution, playing a crucial role in the accretion process and formation of stable structures. Key findings include the effects of various parameters on NAESs’ generation and propagation in which non-relativistic and ultra-relativistic electrons support NAESs, with amplitude and width influenced by temperature, rotational frequency, inclination angle, and the presence of a static heavy nucleus. The research is applicable to hot white dwarfs and neutron stars, suggesting further exploration of quantum effects and non-planar or arbitrary amplitude NAESs.

Temporal wave dynamics, phase portrait and qualitative analysis of the time-dependent (2+1)-dimensional Zakharov-Kuznetsov equation

In this article, we analyze the effect of time-dependent coefficients and the complex wave dynamics of the (2+1)-dimensional Zakharov-Kuznetsov (ZK) equation. This equation provides a detailed, insightful, and realistic description of space physics, plasma physics, controlled fusion, and nonlinear sciences. The wave solutions are established using the generalized Kudryashov, modified simple equation, and modified sine-Gordon expansion techniques and are illustrated by graphical depictions, which provide valuable insight into understanding the complex dynamics of waves across different physical systems. Exact solitary wave solutions offer a dependable approach to investigating the behavior of a system under particular conditions and facilitating a comprehensive understanding of its dynamics. We also conduct a stability analysis and present the phase portrait of the solutions, which are useful in various fields, including physics, plasma physics, chemistry, biology, economics, and sociology. We ascertain that the profiles of 3D and 2D soliton-shaped waves are significantly affected by dynamic changes in coefficients, wave velocity, and associated model parameters. This research could help clarify the dynamics of intricate systems, paving to a better understanding and analysis of the temporal aspects of various phenomena.

Investigating optical soliton pattern and dynamical analysis of Lonngren wave equation via phase portraits

This study focuses on finding effective solutions to a mathematical equation known as the Lonngren wave equation. The solutions from the Lonngren wave equation can be used to evaluate electromagnetic signals in cable lines and sound waves in stochastic systems. The main equation is transformed into an ordinary differential equation by utilizing a suitable wave transformation, allowing for the exploration of mathematical models by using the modified Khater technique to detect the exact solution of a solitary wave. We use the provided method to derive the trigonometric, rational, and hyperbolic solutions. To illustrate the model’s physical behavior, we also present graphical plots of selected solutions to illustrate the physical behavior of the model. By choosing appropriate values for arbitrary factors, the visual representation enhances the understanding of the dynamical system. Furthermore, the system is transformed into a planar dynamical system, and phase portrait analysis is conducted. Additionally, the sensitivity analysis of the dynamical system confirms that slight changes in the initial conditions will have minimal impact on the stability of the solution. The existence of chaotic dynamics in the Lonngren wave equation is explored by introducing a perturbed term in the dynamical system. Two and three-dimensional phase portraits will be used to demonstrate these chaotic behaviors.

SEMANTIC PORTRAIT OF WAINAMOINEN IN ENGLISH TRANSLATIONS OF “KALEVALA”

The article presents a comparative analysis of the semantic portraits of the singer and the cultural hero Wainamoinen in two English translations of the epic “Kalevala” made by William Forsell Kirby and John Martin Crawford. Following a certain algorithm, the different-structured nominations of the hero are classified and subjected to component analysis, through which an inventory of semes and semes’ specifiers is fixed, which allows to identify isomorphic and allomorphic characteristics in the portraits of the hero. The study shows that the dominant position in the semantic portrait of Wainamoinen is occupied by the so-called song space of the hero, since singing is the main activity of Wainamoinen by means of which he influences the surrounding world. The semantic portrait of Wainamoinen is a four-level structure, including nominations (1) characterizing him as a singer, (2) characterizing his singing, (3) characterizing the process of his singing and (4) characterizing functions of his singing. The study also demonstrates an importance of nominations which have the structure of a sentence and super-phrasal unity. They allow to fix additional semes in lexical nominations. The article concludes that the semantic allomorphs of Wainamoinen’s portrait characteristics are determined by both linguistic aspects (the choice of the source text for translation: original text in the Finnish language and the interlinear translation in German) and extralinguistic aspects: differences between British and American lingua cultures and personal preferences of each translator.

Precise Implementation of Mental Health Thinking Measures in Universities Based on Student Portrait Analysis

School learners are the future of the motherland and the hope of the nation, and the level of mental health of school learners directly affects the achievement of moral education and the realization of the goal of moral education. The requirement of cultivating “self-esteem and self-confidence, rational and calm, and positive social mentality” provides guidance for the construction of mind fitness educating courses for school learners. At present, the research on the portrait technology for students in colleges and universities has been carried out one after another, and through the data mining of the informationized campus, the applications such as early warning of students' academic situation, dynamic detection of students' thoughts, and improvement of library lending service have been realized to better promote the management and service of students. The system can help students and teachers to make the mental health portrait model. This system can help students and teachers to analyze students' mental health problems more visually and improve the efficiency.

From pilgrimage to volunteer tourism: A spiritual journey in the contemporary world

ABSTRACT The aim of this paper is to explore how the experiences of international volunteer tourists can contribute to the rejuvenation of the concept of pilgrimage in the contemporary world. Through thematic analysis of the individual portraits, this paper identifies the intertwining of the rejuvenation of pilgrimage with the concepts of meaning, ritual, and transformative experiences within the context of international volunteer tourism. The findings suggest that the current understanding of pilgrimage in contemporary tourism surpasses the notion of a journey to a religious destination, transcending religion itself. This paper extends the comprehension of modern pilgrimage and spirituality, and highlights the necessity for further research into the complex interconnections between tourism, religion, and spirituality.

Bifurcations and optical soliton perturbation for the Lakshmanan–Porsezian–Daniel system with Kerr law of nonlinear refractive index

AbstractThis paper carries out the bifurcation analysis of the Lakshmanan–Porsezian–Daniel model. The phase portrait analysis is carried out and the soliton solutions naturally emerge from the scheme. The intermediary functions are the Jacobi’s elliptic functions.

Qualitative analysis and modulation instability for the extended (3+1)-dimensional nonlinear Schrödinger equation with conformable derivative

The focus of the article studies the qualitative analysis and modulation instability for the extended (3+1)-dimensional nonlinear Schrödinger equation with conformable derivative. Firstly, the extended (3+1)-dimensional nonlinear Schrödinger equation with conformable derivative is transformed into two-dimensional planar dynamic system through complex exponential wave transformation. Secondly, phase portrait and its orbit of the system are analyzed through the theory of dynamical system. By using Maple software the phase portrait, Poincaré section and sensitivity analysis are compared and displayed. Finally, parameter conditions for stable systems are provided through modulation instability.

Nonlinear analysis of the synchronous reference frame phase-locked loop under unbalanced grid voltage

The synchronous reference frame phase-locked loop (SRF-PLL), also called dqPLL, is an electric circuit commonly used in power electronics to estimate the phase angle of a three-phase AC grid. If the voltage is unbalanced, the PLL is modeled as a periodically forced nonlinear oscillator and is known in practice to converge to a steady oscillation. In the existing literature, the oscillation has been studied via linearization assuming a low level of unbalance. Aiming for stronger nonlocal statements, we present nonlinear analysis. We apply the method of autonomous comparison systems and incremental stability to show that the steady oscillation is unique and attractive in a wider neighborhood. Its lock-in domain is estimated using numerical phase portrait analysis. The oscillation is further approximated up to the terms of the second order in the unbalance factor—it yields an estimation of the time average of the PLL’s phase error which is not visible by linearization only. The results provide stability guarantees and can guide the tuning of SRF-PLL.

Analysis and Application of Big Data in Social Media Marketing

This paper discusses the importance and advantages of big data analysis and application in social media marketing. With the popularity of social media platforms, big data analysis provides enterprises with opportunities to deeply understand user needs, optimize marketing strategies and improve marketing effects. This paper introduces the current situation of social media marketing, and expounds in detail the application of big data analysis in user portrait analysis, user behavior analysis and marketing effect evaluation. Through big data analysis, enterprises can formulate more accurate marketing strategies, improve marketing accuracy, optimize user experience and improve marketing efficiency. However, big data analysis also faces challenges such as data quality and privacy protection, which requires enterprises to pay attention to data security and compliance in the process of application.

Overview of the Dunning-Kruger effect in interpersonal communication among youth organisation members

The objective of this study is to examine the portrayal of the Dunning-Kruger Effect in the context of interpersonal communication. This study employs descriptive research methodologies utilising a quantitative approach. The objective of this study is to observe a manifestation of the Dunning-Kruger Effect in the context of interpersonal communication. The data collection in this study was conducted by the utilisation of a purposive sample strategy, wherein questionnaires were distributed. Next, descriptive statistical approaches, specifically data portrait analysis, are employed to process and analyse the quantitative data. This is done using JASP (Jeffrey's Amazing Statistics Programme). Out of the 56 samples analysed in this research, it was found that 4 of them exhibited the Dunning-Kruger Effect. For Islamic Youth organisation members who display the Dunning-Kruger Effect, their interpersonal communication skills are categorised as poor.

Comparative analysis of LDF phase portraits in periodontal microcirculation among patient with type 2 diabetes mellitus

Relevance. Periodontal diseases are among the most prevalent conditions affecting the oral cavity, often leading to tooth loss. Comorbid conditions, especially type 2 diabetes mellitus (DM2), can significantly influence the health of periodontal tissues by altering microcirculatory dynamics.Materials and methods. This study aimed to evaluate periodontal tissue health in patients with chronic periodontitis, both with and without DM2 comorbidity. Periodontal microcirculation was examined using the Laser Doppler Flowmetry (LDF) technique, specifically with a LAKK-M device (Russia). A total of 106 patients were recruited and categorized into four groups based on their DM2 status and the severity of chronic periodontitis.Results. The study revealed group-specific differences in periodontal microcirculation parameters, analyzed through nonlinear dynamics. Notably, patients with chronic periodontitis and comorbid DM2 exhibited the most significant alterations. A phase portrait analysis further delineated the microcirculation health disparities between groups.Conclusion. There were marked differences in microcirculation health among chronic periodontitis patients with and without DM2 comorbidity, as evidenced by significant changes in the nonlinear dynamics-based phase portraits.

Коммуникативный портрет онлайн-педагога в эпоху глокализации

The article presents the results of the analysis of the communicative portrait of an online-teacher, conducted as part of the study of distance learning discourse. The authors analyzed more than 30 recordings of practical classes in various disciplines related to the study of the English language in the distant format. As a result, four types of digital communicative portraits of a teacher were identified: virtual communicative portrait, non-verbal communicative portrait, emotive and cognitive communicative portrait, and professional and competent communicative portrait, their main characteristics are considered and the strategies underlying the creation of each type of portrait are explored. The current study was carried out in the context of studying the discourse of distance learning. Under distance learning discourse the authors mean a special form of interaction between a teacher and a student, occurring remotely, organized with the help of information technologies (the use of which can transform the emotional, mental and motivational components of the human personality), which also has a multimodal nature, making education more inclusive and accessible, and carried out with the direct methodological and program support of the educational institution in which the teacher works and the student studies. Speaking about the methodological support of an educational institution, the authors take into account the trend towards glocalization of academic course programs, aimed at creating meaningful connections between the global context and local culture, making education relevant and meaningful for students. The analysis made it possible not only to form a holistic idea of the digital communicative portrait of a teacher, but also to record modern requirements for a teacher working in the era of digitalization, glocalization and the development of distance learning.

Implementing and evaluating patient-focused safety technology on adult acute mental health wards.

Mental health wards can feel unsafe. We know that patients and staff have different ideas about what makes a hospital ward safe or unsafe. Patients are often the first to know when the atmosphere on a ward becomes tense, but often, no one asks them for their views. Patients and staff are experts and should be included in discussions about how to make wards safer. We got together with some service users and staff, and made an app that helps patients to tell staff when they are not feeling safe on a mental health ward. We tried it out on six wards and we asked patients and staff what they thought. The app was easy to use and most people liked the look of it. Patients said staff did not talk with them enough and so they liked using the app. However, some staff said they could tell how patients were feeling without an app and so they did not need it. Ward managers told us that staff were often very busy and did not always have time to use the app. This app could help staff know straightaway when patients do not feel safe on the ward, so that they can act quickly to calm things down. To make the most of the app, staff need to get used to it and bring it into ward routines. INTRODUCTION: Safety improvement on mental health wards is of international concern. It should incorporate patient perspectives. Implementation and evaluation of 'WardSonar', a digital safety-monitoring tool for adult acute mental health wards, developed with stakeholders to communicate patients' real-time safety perceptions to staff. Six acute adult mental health wards in England implemented the tool in 2022. Evaluation over 10 weeks involved qualitative interviews (34 patients, 33 staff), 39 focused ethnographic observations, and analysis of pen portraits. Implementation and evaluation of the WardSonar tool was feasible despite challenging conditions. Most patients valued the opportunity to communicate their immediate safety concerns, stating that staff had a poor understanding of them. Some staff said the WardSonar tool could help enhanced ward safety but recognised a need to incorporate its use into daily routines. Others said they did not need the tool to understand patients' safety concerns. Foreseeable challenges, including staff ambivalence and practical issues, appeared intensified by the post-COVID-19 context. The WardSonar tool could improve ward safety, especially from patients' perspectives. Future implementation could support staff to use the real-time data to inform proactive safety interventions.