Real Situations Research Articles

Impact of Yoga Awareness on Transmission Dynamics of Communicable Diseases: SIR Model Analysis

Communicable diseases are major health problems that affect the whole economy of the na-tion. So it becomes the prime agenda of developed and developing countries to educate peo-ple about disease dynamics and control strategies. Due to changes in people’s living styles, disease treatment modality has been changed. So, we have introduced Yoga awareness as control strategy which includes Ahar, Vihar, Achar and Vichar. They are means for achiev-ing the physical, mental, social and spiritual well-being. Our main aim is to model the role of Yoga awareness in controlling the disease dynamics. It maintains the physical fitness of practitioners and improve the whole metabolism system of the human body. In this work, the previous SIR model is modified by incorporating a new awareness transmission rate β 1 to the existing model. Real life situation data of Yoga aware and aware infected individuals were col-lected from different Yoga centers of Sudurpashchim province, Nepal and analyzed by using mathematical techniques. Stability analysis of governing by ordinary differential equations showed that model is stable. Yoga awareness reproduction number Ra was calculated by next-generation matrix method. Sensitivity analysis of Ra and concerning parameters indicate that Ra decreases with an increase in Yoga awareness coverage level. Also, the recovery rate has the opposite relation with Ra which indicates that the recovery period also decreases with an increase in awareness coverage. Local and global stability analysis showed that disease-free equilibrium exists when Ra < 1 and endemic equilibrium exists when Ra > 1. Numerical simulations also support the analytical results and suggest that Yoga awareness has a positive influence on controlling disease d ynamics. The increase in the coverage of awareness leads to reduced susceptibility and infectivity. So propagation of disease can be controlled by Yoga awareness.

Sound event detection in traffic scenes based on graph convolutional network to obtain multi-modal information

Sound event detection involves identifying sound categories in audio and determining when they start and end. However, in real-life situations, sound events are usually not isolated. When one sound event occurs, there are often other related sound events that take place as co-occurrences or successive occurrences. The timing relationship of sound events can reflect their characteristics. Therefore, this paper proposes a sound event detection method for traffic scenes based on a graph convolutional network, which considers this timing relationship as a form of multimodal information. The proposed method involves using the acoustic event window method to obtain co-occurrences or successive occurrences of relationship information in the sound signal while filtering out possible noise relationship information. This information is then represented as a graphical structure. Next, the graph convolutional neural network is improved to balance relationship weights between neighbors and itself and to avoid excessive smoothing. It is used to learn the relationship information in the graph structure. Finally, the convolutional recurrent neural network is used to learn the acoustic feature information of sound events, and the relationship information of sound events is obtained by multi-modal fusion to enhance the performance of sound event detection. The experimental results show that using multi-modal information with the proposed method can effectively improve the performance of the model and enhance the perception ability of smart cars in their surrounding environment while driving.

Discrepancies in perceived humanness between spatially filtered and unfiltered faces and their associations with uncanny feelings.

Human and artificial features that coexist in certain types of human-like robots create a discrepancy in perceived humanness and evoke uncanny feelings in human observers. However, whether this perceptual mismatch in humanness occurs for all faces, and whether it is related to the uncanny feelings toward them, is unknown. We investigated this by examining perceived humanness for a variety of natural images of robot and human faces with different spatial frequency (SF) information: that is, faces with only low SF, middle SF, and high SF information, and intact (spatially unfiltered) faces. Uncanny feelings elicited by these faces were also measured. The results showed perceptual mismatches that LSF, MSF, and HSF faces were perceived as more human than intact faces. This was particularly true for intact robot faces that looked slightly human, which tended to evoke strong uncanny feelings. Importantly, the mismatch in perceived humanness between the intact and spatially filtered faces was positively correlated with uncanny feelings toward intact faces. Given that the human visual system performs SF analysis when processing faces, the perceptual mismatches observed in this study likely occur in real life for all faces, and as such might be a ubiquitous source of uncanny feelings in real-life situations.

Analisis Model Digital Forensic Readiness Index (Difri) Terhadap Serangan Malware

The increasing number of malware spread in the world today, then there will be more opportunities to commit crime, so readiness is needed for every internet user in dealing with these crimes. The readiness to handle crime is called digital forensic readiness. Therefore, we need a specific digital forensic readiness model to measure the level of readiness of internet users or institutions in achieving malware attacks. This model has the main components used to determine or calculate the level of readiness of internet users or institutions, the main components are the strategy component, the policy & procedure component, the technology & security component, the digital forensic response component, the control & legality component. The calculation method used in this study is a Likert Scale, with this method the results will be obtained that are closer to the real situation. The value / index of readiness level obtained will provide recommendations to internet users and these recommendations can be used to make improvements properly and on target.

LINGUISTIC PORTRAYAL OF GASLIGHTING IN INTERPERSONAL RELATIONSHIPS

The paper explores the intricate interplay between language and manipulation, focusing on the linguistic and extralinguistic manifestations of gaslighting in interpersonal communication. Gaslighting is viewed as a form of manipulative communication that involves deliberate denial or distortion of reality, making the victims doubt their own actions, perception, memory and sanity. The victim’s ongoing confusion leads to a sense of powerlessness and a diminished self-esteem. Using a qualitative-quantitative linguistic method, the paper dissects the portrayal of gaslighting dynamics in the short psychological film Your Reality, which is based on real-life experiences. Through comprehensive psycholinguistic analysis, an attempt is made to illustrate how specific manipulative tactics are intentionally employed to achieve gaslighter’s abusive objectives. Examining the subtle, yet powerful verbal and non-verbal manipulative tactics employed in the film, the research aims to elucidate gaslighting dynamics in interpersonal communication and empower readers with valuable insights into recognizing and addressing early signs of such deceitful behavior in real-life situation. Thus, this knowledge is crucial for fostering awareness, establishing boundaries to prevent gaslighting attempts and promoting healthy communication.

Modified correlated measurement errors model for estimation of population mean utilizing auxiliary information

The existence of measurement errors cannot be avoided in practice. It is a prominent fact that the existence of measurement errors diminishes conventional properties of the estimators. A modified correlated measurement errors model has been proposed. Shalabh and Tsai (Commun Stat Simul Comput 46(7):5566–5593. 10.1080/03610918.2016.1165845, 2017) correlated measurement errors model is a particular member of the suggested modified model. In this article, we have tackled the estimation of population mean utilizing auxiliary information under modified correlated measurement errors model. We have developed ratio and product estimators and studied their properties in case of simple random sampling without replacement (SRSWOR) up to first order of approximation. It has been illustrated that suggested ratio and product estimators are more efficient than the conventional unbiased estimator as well as Shalabh and Tsai (Commun Stat Simul Comput 46(7):5566–5593. 10.1080/03610918.2016.1165845, 2017) ratio and product estimators under very realistic situations. An empirical study has also been performed to demonstrate the merits of the recommended estimators over other estimators.

Methods of Assigning Labels to Detect Outliers

Outlier identification is a crucial field within data mining that focuses on identifying data points that significantly depart from other patterns in the data. Outlier identification may be categorized into formal and informal procedures. This article discusses informal approaches, sometimes known as labelling methods. The study focused on the analysis of real-time medical data to identify outliers using outlier labelling techniques. Various labelling approaches are used to calculate realistic situations in the dataset. Ultimately, using the anticipated outcomes of the outliers is a more suitable approach for addressing the needs of the larger populations.

Theological and Ethical Perspectives on Rethinking the Co-existence of Flourishing and Vulnerability

Theological and Ethical Perspectives on Rethinking the Co-existence of Flourishing and Vulnerability

Analytical Solution for Seismic Stability of 3D Rock Slope Reinforced with Prestressed Anchor Cables

Currently, the study of analytical solutions for the seismic stability of slopes under anchorage conditions is one of the hottest subjects in engineering. In this paper, an analytical solution for the seismic safety of the three-dimensional (3D) two-stage rock slope reinforced with prestressed anchor cables governed by the nonlinear Hoek–Brown criterion was deduced, in which the analyses of seismicity were performed by the latest modified pseudo-dynamic method. This method supplements the consideration of the damping effect of the rock medium on seismic waves, which is more in line with the real seismic situation. A mathematical geometric model was developed for calculating the external forces work and internal energy dissipation acting on 3D rotating rock masses reinforced with prestressed anchor cables, in which the seismic work rate was calculated using a new layer-by-layer superposition summation method. The analytical solution of the safety factor could be collated as an explicit function of several variables, and then, the optimal value was obtained by the Particle Swarm Optimization (PSO) algorithm. To corroborate the accuracy of new analytical solutions, the results were contrasted with those of the pertinent literature. The results of the two comparisons were very close. Ultimately, the sensitivity analyses and coupling effects of seismic pseudo-dynamic factors and prestressing anchorage factors were carried out. It was found that even small seismic intensities had a large effect on the stability of rock slopes with developed joints. Increasing the number of steps and prestressing anchors can effectively improve the stability of rock slopes under seismic effects. The conclusions have significant implications for the anchorage design of the 3D two-stage rock slope as seismic events occur.

'They are conspiring against us': How outgroup conspiracy theories stimulate environmental neglect in intergroup resource dilemmas.

Natural resources are limited, and people often share these limited resources in groups, which creates an intergroup resource dilemma. To understand individuals' sustainable behaviours in intergroup resource dilemmas in the context of group interactions, the present research systematically investigates the effect of outgroup conspiracy theories on sustainable behaviours and preliminarily explores the internal mechanism underlying this effect. First, a survey study (Study 1) relying on real-world intergroup relations first confirmed the negative correlation between outgroup conspiracy beliefs and sustainable intentions in intergroup resource dilemmas. Then, an online experimental study that utilized the real situation of a region in China (Study 2) tested the causal relationship between exposure to an outgroup conspiracy theory and sustainable intentions, as well as showing the mediating role of intergroup threat perception underlying this relationship. Finally, a preregistered experimental laboratory study (Study 3) further verified the causal effect of exposure to an outgroup conspiracy theory on sustainable behaviours, again confirming the mediating role of intergroup threat perception. In general, our research demonstrates that exposure to an outgroup conspiracy theory stimulates individuals' environmental neglect and reduces their sustainable behaviours by increasing their perceptions of intergroup threat when faced with intergroup resource dilemmas.

EL DESARROLLO DE LA ESCRITURA EN LOS NIÑOS: DE LAS CUEVAS A LA INSTITUCIÓN ESCOLAR

This article aims to develop a reflection on aspects of the development of written language as a cultural instrument produced by humanity, and its appropriation, We defend the necessity for children to appropriate the knowledge historically produced by society to become humanized and subjects of their own history. It is a bibliographical research, grounded in a historical-dialectical materialism approach and based on cultural-historical theory. The research is supported by the studies of Vygotsky, Luria, Leontiev, and Fisher.The results indicate that, throughout history, the access to writing has been the privilege of a minority and education still takes on the form of traditional logic in the school environment, characterizing as an instrument of domination and alienation. It is concluded that access to autonomous writing is one of the basic requirements so that individuals humanize themselves, leave the "cave," and achieve effective social belonging. And that the development of writing in/by the child should be taught as social practices, in real situations of language use, as constitutive acts of consciousness. To overcome traditional logic, it is important for teachers to understand how children learn, based on a theoretical-methodological foundation that promotes the development of autonomy and the fullest human potential.

Flip bifurcation analysis and mathematical modeling of cholera disease by taking control measures

To study the dynamical system, it is necessary to formulate the mathematical model to understand the dynamics of various diseases which are spread in the world wide. The objective of the research study is to assess the early diagnosis and treatment of cholera virus by implementing remedial methods with and without the use of drugs. A mathematical model is built with the hypothesis of strengthening the immune system, and a ABC operator is employed to turn the model into a fractional-order model. A newly developed system SEIBR, which is examined both qualitatively and quantitatively to determine its stable position as well as the verification of flip bifurcation has been made for developed system. The local stability of this model has been explored concerning limited observations, a fundamental aspect of epidemic models. We have derived the reproductive number using next generation method, denoted as “R0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$R_{0}$$\\end{document}”, to analyze its impact rate across various sub-compartments, which serves as a critical determinant of its community-wide transmission rate. The sensitivity analysis has been verified according to its each parameters to identify that how much rate of change of parameters are sensitive. Atangana–Toufik scheme is employed to find the solution for the developed system using different fractional values which is advanced tool for reliable bounded solution. Also the error analysis has been made for developed scheme. Simulations have been made to see the real behavior and effects of cholera disease with early detection and treatment by implementing remedial methods without the use of drugs in the community. Also identify the real situation the spread of cholera disease after implementing remedial methods with and without the use of drugs. Such type of investigation will be useful to investigate the spread of virus as well as helpful in developing control strategies from our justified outcomes.

Hand hygiene in emergencies: Multiprofessional perceptions from a mixed methods based online survey in Germany

IntroductionDespite high vulnerability to infection, hand disinfection compliance in emergencies is low. This is regularly justified as the disinfection procedure delays life support, and instead, wearing disposable gloves is preferred. Simulation studies showed higher achievable compliance than detected in real-life situations. This study aimed to explore healthcare providers’ attitudes toward hand disinfection and using gloves in emergencies. MethodsWe conducted an anonymous online survey in Germany on the attitude and subjective behavior in the five moments of hand hygiene in a closed environment and an open convenience sampling survey. Statistics included paired student's t-tests corrected for multiple testing. For qualitative analysis, we employed a single-coder approach. ResultsIn 400 participants, we detected low priority of WHO-1 (before touching a patient) and WHO-2 (before clean/aseptic procedure) hand hygiene moments, despite knowing the risks of omission of hand disinfection. For all moments, self-assessment exceeded the assessment of colleagues (p < 0.001). For WHO-3, we detected a lower disinfection priority for wearing gloves compared to contaminated bare hands. Qualitative analyses revealed five themes: basic conditions, didactic implementations, cognitive load, and uncertainty about feasibility and efficacy. DiscussionConsidering bias, the study's subjective nature, the unknown role of emergency-related infections contributing to hospital-acquired infections, and different experiences of healthcare providers, we conclude that hand disinfection before emergencies is de-prioritized and justified by the emergency situation regardless of the objective feasibility. ConclusionThis study reveals subjective and objective barriers to implementation of WHO-1 and WHO-2 moments of hand disinfection to be further evaluated and addressed in educational programs.

Judicial precedent in the Romano-Germanic legal family

The article is devoted to the study of the institution of judicial precedent in the Romano- Germanic legal family. It is established that the countries of the Romano-Germanic legal family, unlike the countries of the Anglo-Saxon legal family under the influence of Roman law, in the context of codification of law, have determined for themselves the priority source of law - law, not precedent. However, there is a gradual increase in the role of judicial precedent in continental law countries due to a number of factors that contribute to the intensification of judicial rulemaking. First, in these countries, there are still branches of law that, for various reasons, either do not have legal regulation or are regulated only by general reference rules or framework provisions. For objective reasons, the legislator cannot foresee the entire variety of real-life phenomena. This pushes the courts to adopt legal provisions that can fill in the gaps in the legal regulation of social relations. Secondly, there is a noticeable lag between legislation and dynamically changing social relations, resulting in the formation of large segments of social life regulated by legal acts that have lost their relevance. The current realities, which are largely full of unpredictable events, highlight the need for legal systems to adapt. All of this contributes to the use of judicial precedents, which serve not only as a tool for resolving specific disputes, but also as a means of developing law, allowing to fill existing «gaps in law». In the Romano-Germanic legal family, the real legal force of a judicial precedent is determined not so much by its formal enshrinement in legal acts as by actual life circumstances. Real-life situations, as well as the practical necessity and demand for precedent as a source of law, play a key role in determining its true legal status and legal force. Judicial precedent in continental law countries is becoming increasingly important, becoming an integral element of dynamic and adaptive legal regulation over time, and the rules establishing the generally binding force of precedents and the discretionary powers of authorized bodies are increasingly common in both public and private law in these countries. Judicial precedent in these countries should be considered as a source of law from a practical point of view, focusing on solving problems arising in the process of law enforcement.

Methodological and theoretical foundations for assessing the functional literacy of students in mathematics

Relevance. Currently, one of the most important skills that a modern citizen should have, both in Kazakhstan and around the world, is the ability to adapt to change. In this case, in educational institutions, approaches aimed at a comprehensively developed personality, ready to independently overcome difficulties, based on the information received during training, are becoming increasingly relevant. Purpose. The purpose of the study was to determine the ways of assessing the level of functional literacy acquired by a student in the course of studying mathematics. Methodology. The method of analysis, synthesis, comparison, deduction was used in the article. Results. The study identified challenges in Kazakhstan's education system, stemming from external factors like digitalization and internal factors such as adolescent development. It established that students need both theoretical knowledge and practical application skills for Kazakhstan's future growth. The research emphasized preparing and evaluating functionally literate individuals, focusing on mathematical functional literacy as a key indicator of students' ability to apply skills in real-life situations. Conclusions. In the course of selecting or developing tasks for conducting control activities, the teacher must combine two aspects at once, both theoretical and practical. The practical value of the study is that its results can be used to prepare educational and methodological materials for educational workers of various levels in the Republic of Kazakhstan. Keywords: education; digitalization; teacher; functional literacy; practical skills

Methodological and theoretical foundations for assessing the functional literacy of students in mathematics

Relevance. Currently, one of the most important skills that a modern citizen should have, both in Kazakhstan and around the world, is the ability to adapt to change. In this case, in educational institutions, approaches aimed at a comprehensively developed personality, ready to independently overcome difficulties, based on the information received during training, are becoming increasingly relevant. Purpose. The purpose of the study was to determine the ways of assessing the level of functional literacy acquired by a student in the course of studying mathematics. Methodology. The method of analysis, synthesis, comparison, deduction was used in the article. Results. The study identified challenges in Kazakhstan's education system, stemming from external factors like digitalization and internal factors such as adolescent development. It established that students need both theoretical knowledge and practical application skills for Kazakhstan's future growth. The research emphasized preparing and evaluating functionally literate individuals, focusing on mathematical functional literacy as a key indicator of students' ability to apply skills in real-life situations. Conclusions. In the course of selecting or developing tasks for conducting control activities, the teacher must combine two aspects at once, both theoretical and practical. The practical value of the study is that its results can be used to prepare educational and methodological materials for educational workers of various levels in the Republic of Kazakhstan. Keywords: education; digitalization; teacher; functional literacy; practical skills

Experimental Direct Quantum Fidelity Learning via a Data-Driven Approach.

Fidelity estimation is an important technique for evaluating prepared quantum states in noisy quantum devices. A recent theoretical work proposed a frugal approach called neural quantum fidelity estimation (NQFE) [X. Zhang et al., Phys. Rev. Lett. 127, 130503 (2021).PRLTAO0031-900710.1103/PhysRevLett.127.130503]. While this requires a much smaller number of measurement operators than full quantum state tomography, it uses a weight-based floating measurement strategy that predetermines the top global Pauli operators that contribute the most to the fidelity and uses discrete fidelity intervals as predictions. In this Letter, we develop a measurement-fixed NQFE based on a transformer model which requires less measurement cost and can output continuous estimates of fidelity. Here we further experimentally apply the NQFE in a realistic situation using a nuclear spin quantum processor. We prepare the ground states of local Hamiltonians and arbitrary states and investigate how to estimate their fidelity with reference states, and we compare the fidelity estimation strategy with our and the original NQFE to conventional tomography. It is shown that NQFE can estimate the fidelity with comparable accuracy to the tomography approach. In the future, NQFE will become an important tool for benchmarking quantum states ahead of the advent of well-trusted fault-tolerant quantum computers.

On establishing a benchmark crude in the Russian Arctic

The article analyzes the prospects for establishing Russian benchmark crude based on the arctic blend “Vostok Oil” with a price basis in Murmansk. The relevance of the study is conditioned by the importance of the pricing system’s transparency for maintaining a stable macroeconomic situation in Russia, with a leading role of Artic oil and gas potential for Russian economic development. The authors highlight the main signs of the modern pricing system’s crisis and note that amid the imposed anti-Russian sanctions pricing at European spot hubs can no longer reflect the real situation in the Russian oil market. As a result, there is a need to create a national pricing system by developing the Russian benchmark based on the crude oil blend with the dominance of “black gold” from the Vostok Oil project, which has a high-expected liquidity. The port of Murmansk, being distinguished by unique technical characteristics and access to the logistics potential of the Northern Sea Route, is proposed as a price basis and a price hub. The article presents a four-stage model for launching a corresponding futures contract on SPIMEX, which will help improve the exchange trading system for energy resources in Russia and increase the popularity of the Russian Arctic benchmark crude in the global oil market. In conclusion, the authors underline that the creation of a new benchmark and the launch of futures will ensure stability, transparency and independence of Russian oil exports.

Well‐posedness and error analysis of wave equations with Markovian switching

Compared to traditional partial differential equation modeling methods, Markov switching models can accurately capture the abrupt changes or jumps that complex systems often experience in the real world. In this paper, we propose a novel wave equation model with Markovian switching to represent complex systems with state‐jumping phenomena better, and the well‐posedness of the model is proved. In addition, a numerical method with non‐uniform grids is also proposed for the proposed model to simulate the data in realistic situations, which is based on the use of finite element discretization in space and central difference discretization in time. Finally, we conduct several experiments to analyze the errors and stability of the proposed model and the traditional model. The results show that the Markov switching model proposed in this paper has a smaller error than the traditional models while ensuring stability and can more accurately simulate the state jump phenomena of real‐world systems.

Reliability analysis of A combination of [formula omitted] and [formula omitted] systems

In the paper, two-element (f,k) and <f,k> combined systems are developed, and two-kind combined reliability systems and some related new concepts such as irreducible structure and structure equivalence are introduced, which can be used not only in real practical situations, but also enrich the reliability contents. We proved that four-class combined reliability systems need to be considered actually, which facilitates the handling of these combined reliability systems. Meanwhile, a coordinate system with two axes, the number of total failed components and the number of maximal consecutive failed components, is introduced in the paper for representing the working and failed areas for the combined reliability systems, which brings out a useful tool for understanding the working and failure mechanisms, and system state transition ways, for the combined reliability systems. To summarize the reliability calculation, a procedure for calculations of the combined reliability systems is presented, which is an efficient guidance for these reliability computations. Finally, two numerical examples are given to illustrate the computation procedure in which the detailed steps, special on using Finite Markov Chain Imbedding Approach (FMCIA), are shown. We believe that the present paper can shed light on researches on combined reliability systems.