Situational Characteristics Research Articles

New Indicators of Business Uncertainty in the Russian Economy

The purpose of the article is to present the main results of the study on the development of methods and testing of tools necessary for continuous monitoring of the business environment in Russia by measuring the level of its uncertainty and identifying the degree of its influence on the dynamics of economic activity based on the analysis of business tendency surveys. This methodology was tested for the first time to assess the level of uncertainty in the business environment and its impact on the digital and technological development of domestic industrial enterprises.The source of data for the study is regular sample surveys of business leaders for the period from 2009 to 2022. Two independent databases are used: quarterly surveys of business activity of organizations of various types of economic activity to build national and industry indicators of uncertainty in the business environment and annual pilot surveys of digital activity of industrial enterprises to construct an indicator of uncertainty in the field of digital and technological development of industry.All calculated composite indicators were able to identify significant features of the economic situation for the Russian economy associated with shock events. When analyzing the fluctuations of the indicators under study, «spikes» are clearly detected in response to the shocks of the business tendencies in 2020 and 2022. In general, the period from 2020 to the present is characterized as a period of prolonged crisis associated with growing uncertainty in the Russian economic environment, the unprecedented scale of which was demonstrated by the constructed indicators.According to the authors, the proposed composite indicators expand the analytical capabilities of business tendency surveys data, creating the prerequisites for regular monitoring of changes in the level of uncertainty in the business environment and increasing the operational value of the information provided by companies. This allows to develop more accurate socio-economic scenario forecasts.

Migration Processes in the Republic of Kazakhstan: Regularities, Problems, and Prospects

The study’s relevance lies in the ongoing phenomenon of mass migration, which significantly impacts society, economy, and politics worldwide. The purpose is to consider the features of the current situation in the migration field in Kazakhstan and assess the possibilities for public policy development. In this study, the problem-thematic method and the method of policy analysis were used. The study emphasizes the role of migration trends in Kazakhstan and the impact on its socioeconomic, demographic, cultural, and political development. Special attention is paid to integrating global trends and socioeconomic prerequisites for the reception of migrants.

New Viscometers for Measuring the Viscosity of Liquids

This article’s goal is to present a viscometer that makes use of a novel viscometry measurement technique. The post will also suggest brand-new vibration viscometers. The development of new viscometers has allowed for the continuous and instantaneous measurement of liquid viscosity. The viscosity can be precisely measured automatically using these viscometers, which are made for industrial application. These viscosity measurement tools can currently be applied to a number of different tasks, including the research of recently developed oil products, the choice of the best flow characteristics for different transfer situations, and the advancement and refinement of fuel preparation techniques.

How do residents respond to uncertainty with peers and supervisors in multidisciplinary teams? Insights from simulations with epistemic fidelity

BackgroundResidents struggle to express clinical uncertainty, often exhibiting negative cognitive, behavioral, and emotional responses to uncertainty when engaging with patients or supervisors. However, the Integrative Model of Uncertainty Tolerance posits that individuals may have positive or negative responses to perceived uncertainty. Situational characteristics, such as interactions with other health professionals, can impact whether the response is positive or negative. The team context in which residents interact with resident peers and supervisors could represent varying situational characteristics that enable a spectrum of responses to uncertainty. Understanding the situational characteristics of multidisciplinary teams that allow residents to display positive responses to perceived uncertainty could inform strategies to foster positive responses to uncertainty in other contexts. We explored resident responses to perceived uncertainty in a simulated multidisciplinary team context.MethodsA simulation-primed qualitative inquiry approach was used. Fourteen residents from Cardiology and Obstetrics and Gynecology participated in simulation scenarios involving pregnant patients with heart disease. We incorporated epistemic fidelity through the deliberate inclusion of ambiguity and complexity to prompt uncertainty. Audio recordings of debriefing sessions were analyzed using directed content analysis.ResultsResidents recognized that uncertainty is unavoidable, and positive responses to uncertainty are crucial to team dynamics and patient safety. While residents had positive responses to expressing uncertainty to peers, they had predominantly negative responses to expressing uncertainty to supervisors. Predominant negative response to supervisors related to judgement from supervisors, and impacts on perceived trustworthiness or independence. Although residents recognized expressing uncertainty to a supervisor could identify opportunities for learning and resolve their uncertainty, the negative responses overshadowed the positive responses. Residents highly valued instances in which supervisors were forthcoming about their own uncertainty.ConclusionsThrough participation in simulations with epistemic fidelity, residents reflected on how they perceive and respond to uncertainty in multidisciplinary teams. Our findings emphasize the role of situational characteristics, particularly peers and supervisors, in moderating responses to perceived uncertainty. The productive discussions around responses to uncertainty in debriefing sessions suggest further studies of multidisciplinary simulations could enhance our understanding of how uncertainty is expressed, and potentially be used as an instructional intervention to promote positive responses to uncertainty.

An adaptive enhanced envelope spectrum technique for bearing fault detection in conditions characterized by strong noise

Rolling bearings are widely used in rotating machinery and have a high failure rate. Regrettably, the task of ensuring dependable bearing fault detection presents a formidable challenge, especially when the bearing fault-related characteristics are non-stationary or even affected by strong noise. In response to this challenge, a novel adaptive enhanced envelope spectrum (AEES) technique is proposed in this study. Firstly, it generates representative intrinsic mode functions (IMFs) using the variational mode decomposition algorithm. Then, based on the analysis of the envelope spectrum normalized mutual information and time-domain fuzzy entropy, a new IMF selection and integration strategy combining time- and frequency-domain metrics is suggested to reconstruct the most informative analytical signal. An adaptive filter is employed to post-process the reconfigured signal to reinforce fault-related impulsive characteristics, the optimal length of which is ascertained through the proposed variable step-size search technique based on unbiased autocorrelation analysis. The efficacy of the AEES technique has been validated through a sequence of experiments conducted under diverse bearing conditions. Its robustness and distinct advantages under strong noise conditions are tested using a publicly available dataset. The validation results show that the AEES technique can effectively identify the health conditions of bearings under high noise conditions (signal-to-noise ratios between 1 dB and 3 dB). Compared with two relevant techniques in the existing literature and a classical method, the proposed AEES technique can achieve signal processing results with fewer interference components and more prominent characteristic frequency information and has a unique ability to identify fault features in some challenging situations.

Distinguishing four types of Person × Situation interactions: An integrative framework and empirical examination.

People differ in their reaction to situations, resulting in Person × Situation interactions. These interactions have been emphasized by many theoretical accounts of personality. Nevertheless, empirical progress on Person × Situation interactions has been slow. This is in part attributable to an insufficient distinction of person and situation variables and of different types of interaction effects. We propose a framework distinguishing four nested types of interaction effects varying in specificity: (a) P × S: broad Person × Situation interaction variance, (b) P × Sspec: between-person differences in situation variable-outcome associations, (c) Pspec × S: between-situation differences in person variable-outcome associations, and (d) Pspec × Sspec: specific Person Variable × Situation Variable interactions. We conducted two large online studies (N = 622 and N = 818) with standardized situation stimuli (N = 62 pictures and N = 62 first-person perspective videos) and assessed Big Five traits, DIAMONDS situation characteristics, and Big Five states. Using preregistered multilevel models, we systematically quantified the different interaction types. We found (a) large Person × Situation interaction variance in personality states, (b) sizable individual differences in situation characteristic-state contingencies, (c) consistent but smaller between-situation differences in trait-state associations, and (d) some significant but (very) small Personality Trait × Situation Characteristic interactions. Our findings highlight Person × Situation interactions as potentially important predictors of psychological states, although the explanation of these interactions through specific person variables remains difficult. Individual differences in the reaction to situations should be incorporated into our models of personality. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Investigating the Impact of Stress on Pain: A Scoping Review on Sense of Control, Social-Evaluative Threat, Unpredictability, and Novelty (STUN Model).

Stress can have paradoxical effects on pain, namely hyperalgesia and hypoalgesia. Four situational characteristics activate the hypothalamic-pituitary-adrenal axis, leading to a physiological stress response: lacking Sense of control, social-evaluative Threat, Unpredictability and Novelty (STUN). This scoping review reports on the types of evidence published on the effects of STUN characteristics on pain outcomes. Searches of primary electronic databases were performed to identify articles published on adults between 1990 and 2021 that contained search terms on pain and stress/STUN characteristics. A total of 329 articles were included in the analysis. Only 3.3% of studies examined simultaneously >1 STUN component. Almost all observational studies (177/180) examined the association between perceived stress and pain without measuring physiological stress responses. Of the 130 experimental studies, 78 (60.0%) manipulated stressful characteristics through nociception, and only 38.5% assessed if/how stress manipulation impacted perceived stress. There is a clear lack of integration of the characteristics that trigger a physiological stress response in the pain field. Only 3.3% of studies examined simultaneously more than one STUN component and there is an unequal attention given to individual components of the STUN framework. Recommendations for future research include selection of stress manipulations/measurements that are more precisely inducing/reflecting neurobiological mechanisms of stress responses to insure valid integration of scientific knowledge.

Terrorism as Coalitional Predation: Explaining Definitional Ambiguities and Precautionary Responses.

Terrorism continues to be an enigmatic and contested concept, lacking a universally accepted definition despite extensive scholarly debate. Lay intuitions, however, demonstrate a notable convergence in identifying acts as "terrorism" when specific situational features are present, such as indiscriminate violence and out-group perpetration. These features elicit predictable and robust precautionary responses, raising the question: Is there a unified and parsimonious explanation for these phenomena? It is hypothesized that a situational template exists in the human mind, the coalitional predation template (CPT), which evolved not to detect modern-day terrorism, per se, but to identify and respond to situations of predatory coalitional conflict. The paper examines the potential cues and mechanisms that constitute the psychological systems activated by such threats, suggesting that matching the input cues of the CPT triggers well-documented precautionary responses to terrorism. However, this cue-based system may not align neatly with contemporary threats, leading to disproportionate responses to some threats while underestimating others. The model also posits that interpretations of violence can vary due to incomplete cues and the social position of the evaluator, leading to public disagreements and inconsistencies in defining terrorism. Consequently, arriving at an unambiguous and widely accepted definition of terrorism may not be possible. The model presented may account for a range of phenomena, including the inclination towards attributing mental illness to particular violent incidents and the uncanny surface similarities between terrorism and war crimes. The findings have significant implications for both the theoretical understanding of terrorism and practical policy responses.

Study on the space field reconstruction method of the radial basis function of electromagnetic radiation under optimal parameters

ABSTRACT Electromagnetic radiation (EM) pollution has a certain impact on human life and health, and the reconstruction of the EM space field in this paper is of great practical significance for EM analysis and research. The radial basis function (RBF) sufficiently considers the influence of each sampling point and is more suitable for reconstructing the EM space field than other spatial interpolation methods. Currently, when RBF is used to reconstruct the EM space field, the optimal determination of the basis function and shape parameter (SP) is rarely considered. This ultimately leads to low reconstruction accuracy of the EM space field. Therefore, in this paper, the particle swarm optimization (PSO) is used to calculate the optimal SP of the RBF. On this basis, reliable EM space field reconstruction is performed, which helps people understand the EM distribution characteristics in actual situations from a visual perspective. The EM sampling data of a region on the Yunnan Normal University campus are used as the data source, and the RBF under the optimal parameters is used for EM reconstruction. The accuracy of its interpolation results is evaluated and compared and analyzed with inverse distance weighting (IDW) after distance index optimization. The results show that the RBF under optimal parameters reconstructs the EM space field with high accuracy and good effect, which can truly reflect the actual distribution of EM.

The Development Status of the Manufacturing Industry and the Impact of Digital Characteristics from the Perspective of Innovation

From the perspective of innovation of manufacturing links, this paper conducted research on the current situation of manufacturing development and the relationship between regional economy development and digital transformation, aiming to offer suggestions and reference for relevant policy making. Firstly, taking the INCOPAT patent database as the data source, a quantitative analysis was conducted on the patent data of five key links in the manufacturing industry, which obtained the current situation and digital characteristics of the manufacturing industry development from the perspective of link innovation. Then, based on the relevant economic panel data of regions in China, coupling coordination analysis was conducted to investigate the current characteristics of digital transformation of the five links and the coordinated development of the regional economy from 2017 to 2021. The development level and characteristic relations of 31 provinces or cities in these two systems were analyzed. On the whole, the coordinated development level of the two systems in China is steadily rising but varies among different regions, that is, economically developed regions tend to have better digital transformation development. In general, manufacturing digital transformation in China highly relates to regional economy development. Moreover, the development speed of the two systems tends to be stable from 2017 to 2021. The regions with different coordinated development types should formulate corresponding policies to accelerate manufacturing digital transformation and regional economy development.

The escalation of military threats as a reality of modern geopolitics

The main goal of the study is to analyze the geopolitical dynamics of the modern polycentric world, and the geopolitical aspects of the problem of military threats and conflicts. A theoretical analysis of the concept of geopolitics and its transformation in the 21st century has been carried out. The article examines the influence of geopolitical factors on the global security system, including from a regional perspective. In particular, the features of the political situation in the Middle East and the Asia-Pacific region are considered. The theoretical and practical significance of the study consists, firstly, in generalizing and systematizing existing knowledge on political conflictology, in developing its geopolitical aspect, and secondly, in considering poorly studied aspects of the problem (in particular, network-centric wars), and thereby stimulating further scientific developments in this direction.

Exploring the Characteristics of Men Aged 55+ Who Use Mental Health Community Care and Support Services: A Secondary Analysis of the Adult Psychiatric Morbidity Study in England.

ObjectivesThe aim of this study is to understand the demographic and situational characteristics of men over 55 who have used a community support service. Method: Hierarchical multivariable logistic regression was conducted using anonymised data from the Adult Psychiatric Morbidity Study 2014. Results: Need factors such as having a common mental disorder (CMD), poor general health and having counselling/therapy were the most relevant to use of a community support service. It was more common for older men (85+), single men, and those who reported experiencing several traumatic life events to have used a community support service. Discussion: The results are critically discussed by considering the roles of gender, ageing, and social support, which might influence the use of community support services. There is a need for more awareness of categories such as age and previous service use, and how they might influence community support help seeking.

Analysis of Violent Incidents at Five Regional and Remote Australian Emergency Departments: A Retrospective Descriptive Study.

Workplace violence is endemic, destructive, and escalating in frequency and severity in healthcare. There is a paucity of research on workplace violence in regional and remote hospital emergency departments (EDs). The aim of this study was to identify the perpetrator and situational characteristics associated with violent incidents in the ED across five regional and remote Australian sites. This study audited hospital summary data, incident reports, and medical records for a 12-month period in 2018 to examine the perpetrator and situational characteristics of workplace violence incidents in five regional and remote Australian EDs. Violent incidents were evenly spread throughout the week and across shifts. Most incidents were triaged as urgent, occurred within the first 4 hr, and had multidisciplinary involvement. Almost one in every six incidents resulted in an injury. Perpetrators of violence were predominantly young and middle-aged males and almost always patients, with most presenting with mental and behavioral disorders, or psychoactive substance use. Understanding the characteristics of perpetrators of violence can help in seeking to tailor interventions to reduce further violent behaviors. These findings carry implications for optimizing patient care, staff safety and resource management.

Capital and Cohesion: A new perspective on the analysis of mortality differentials

Abstract: Social characteristics related to mortality, such as hierarchy or family structure, are generally represented as a unidimensional scale. This is inconsistent with much of sociological theory, which represents hierarchy as a multidimensional, or partially ordered, scale. We utilize Bourdieu’s tripartite concept of Capital – Economic, Cultural and Social – to conceptualize social hierarchy and construct appropriate scales. We combine these with measures of Household Structure to investigate their relation to male and female aggregate mortality. Using data for Australian small statistical areas (SA2) from the census of 2011, we regressed male and female standardized mortality (SMR) on the scales for Capital and Household Structure, with controls for State/Territory, Remoteness, and Indigeneity of the SA2. We find that Economic and Cultural Capital significantly reduce mortality, while Social Capital has a smaller effect, significant only for males; Family Structure is at least as important as Capital in explaining levels of mortality; Geographic location, namely State/Territory and degree of Remoteness, are significant determinants of mortality risk and Indigenous areas are at a heavy disadvantage, even when we account for all other social and situational characteristics. We conclude that social space, as measured by scales of social hierarchy and family structure, is multidimensional. To understand fully why mortality is higher in some areas than in others, we need to bring together theory and data.

Research on Clothing Brand Marketing Strategy Based on E-commerce Webcasting in the Internet Era

Abstract In recent years, with the rapid development of the Internet, e-commerce webcasting, as a new type of marketing method, has gradually been favored by clothing brands. The study constructed a model of factors influencing consumer purchase intention in live broadcasting e-commerce based on the SOR model, followed by hypotheses. An empirical study was conducted by distributing questionnaires to the consumer population watching live e-commerce streams. This paper recovered 388 valid questionnaires and used the PLS-SEM structural analysis method and factor analysis to conduct relevant test studies on each of the proposed variables. The empirical study of the five stimulus variables through structural equations concludes that all five stimulus variables are impacted by consumers’ purchase intention, with situational characteristics having the most significant impact on consumers’ perceived pleasure. Lastly, the derived influencing factors confirm the results. The proposal suggests a strategic approach to enhance the marketing of e-commerce clothing brands.

Predictors of fatal officer-involved shootings from eight municipal police agencies in the USA (2015–22)

Abstract In the USA, fatal officer-involved shootings (OIS) persist as a topic of nationwide concern. Still, due to a lack of reliable, public OIS data, research examining the predictors of these incidents is limited. The current project utilizes OIS data submitted to the Police Data Initiative (PDI) from eight large, municipal police agencies in the USA to assess trends and characteristics of OIS (fatal and nonfatal) occurring between 2015 and 2022. Using a logistic regression model, this analysis explores officer characteristics, civilian characteristics, and situational characteristics as predictors of the lethality of OIS incidents within these eight US jurisdictions. Results suggest three characteristics were significant predictors of fatal OIS, including the number of officers involved in the OIS, the officer’s years of experience, and the civilian’s age. Based on these findings, evidence-based strategies for fatal OIS prevention, critical incident response, and OIS data availability are discussed and future directions for research are explored.

Handling the Functional Features of Accelerator Components Using ISO GPS Situation Features

The building blocks of a scientific facility based on particle beams comprise magnets and electro-magnetic devices. The optical design usually imposes a demanding accuracy with respect to their theoretically exact position and orientation. It happens that the functional features are either not clearly defined – what is the « axis » of a magnet –, or not explicitly used along their lifecycle. Improving how to handle these functional features would contribute to meeting demanding challenges. The European Spallation Source (ESS) is aiming at providing a powerful proton linear accelerator and a target system to produce pulsed neutrons. The challenging complex design and integration yielded to introducing a tool shared in common by all stakeholders along the lifecycle: the “situation features”, as defined in ISO GPS (Geometrical Product Specifications) standards. They are here developed, and extended to beyond-mechanics use cases. Two examples of fiducialization and installation phases are presented for neutron beam guides and quadrupole magnets. Perspectives of generic use are also highlighted.

Functional specification of complex assemblies using projective geometric algebra

In geometric tolerancing, functional specification is becoming challenging as the complex mutual situations of geometrical features increase and the requisites for complex assembly accuracy escalate. A computational representation of sets of situation features is proposed in this paper to manage functional specification of complex assemblies. A minimum triplet set of a point, a straight line and a plane called ToLiP, is introduced to represent situation features. Functional specification operations can thus be mathematically established using projective geometric algebra (PGA). The effectiveness of the proposed approach is highlighted through a case study using quadrupole magnets of a particle accelerator.

Living conditions during confinement moderate the relationship between trait anxiety and negative repetitive thinking

Confinement and isolation have negative mental health consequences. It is however unknown how the characteristics of these singular situations interact with psychological vulnerability factors in the development of psychological disorders.The present study was designed to test the extent to which trait anxiety is a predictor of the level of repetitive negative thinking in individuals and how this relationship may be moderated by the environmental characteristics in which individuals experience confinement. An internet survey was conducted on a sample of 435 participants aged 18 to 85, including 82 % women and mainly students (65 %). The results showed that the level of repetitive negative thinking was significantly higher for participants who exhibited a high level of trait anxiety and this was even more the case for participants who had the most detrimental environmental characteristics during confinement.Future studies should replicate these results in other contexts, and also test the mediating role of repetitive negative thinking in the relationship between psychological vulnerability factors and psychological disorders, and whether such mediation is moderated by environmental characteristics.

ОРГАНІЗАЦІЙНО-ЕКОНОМІЧНІ ОСОБЛИВОСТІ КРИЗОВИХ СИТУАЦІЙ В ІННОВАЦІЙНІЙ ЕКОНОМІЦІ

At present, in the conditions of the modern innovative economy, the development of a crisis situation occurs in the short term, which requires significant changes in the implementation of anti-crisis management policy not only at the level of administrative and legal capabilities of the State as a key regulator of economic crises, but also in terms of designing a strategy for the development of business structures. The article studies organisational and economic features of crisis situations in the innovation economy and determines their impact on sustainable development of regional enterprises. As such features, it is proposed to consider information flows as a catalyst and primary source of crisis situations, the global nature of the emergence and development of crisis situations, focus on minimising costs through digital technologies, different levels of adaptability to a crisis situation, the possibility of forming individual anti-crisis trajectories for the development of entrepreneurial structures, the need to increase innovation activity as a factor of resistance in crisis situations, the limited influence of market participants on the It is proved that in the conditions of the economic system, the main direction, from the point of view of the theory of crisis management, should be recognised as adaptation to the gradually changing conditions of market functioning, which occurs under the influence of medium-term crisis situations. Despite the significant advantages that the innovative economy provides to all subjects of economic relations, it is necessary to emphasise the fact that the influence of each subject on the course and consequences of crisis phenomena in the economic system is significantly minimised. First of all, this statement applies to the State as the main regulator of the crisis situation, based on the classical concepts of the theory of economic crises, which are currently unable to resolve the crisis situation using only methods and instruments of administrative or economic influence. The author notes the growing importance of crisis situations in the innovation economy in the context of the need to improve the level of strategic management of business structures.