Cumulative Influence Research Articles

Low-velocity crashworthiness and optimization of a crash box filled with modularized graded honeycomb

PurposeGraded honeycombs are materials that exhibit better energy absorption performance compared to uniform honeycombs without adding additional weight. This paper introduces a novel modularized graded honeycomb into a commercial crash box to improve its crashworthiness.Design/methodology/approachA modularized graded honeycomb is inserted into a commercial crash box to develop a novel crash box. Finite element analyses are conducted to investigate the crashworthiness. Pareto cumulative influence analysis is conducted to rank the effects of design parameters on crashworthiness. A surrogate model-based multi-objective optimization is carried out to improve energy absorption while limiting the impact peak force. An optimal Pareto solution set is obtained.FindingsModularized honeycomb-filled crash box outperforms that of its corresponding uniform honeycomb-filled crash box and empty crash box in resisting impact. Pareto cumulative influence analysis reveals that for most crashworthiness indicators, cell-wall thicknesses of crash box tube contribute the most, followed by average relative density and graded coefficient of modularized honeycomb (MH). Graded coefficient contributes nearly 10% on mean force and maximum displacement, but it has insignificant influence on peak force and weight. Optimization results show that the optimal designs can not only absorb more energy but also limit the peak force compared with those of uniform honeycomb-filled crash box.Originality/valueThis paper fills a MH into a commercial crash box to propose a novel crash box and demonstrates the positive impact of modularized design on crashworthiness compared with that of uniform honeycomb-filled crash box. Moreover, modularizing honeycomb does not change the weight of the filler, and thus, the novel crash box would benefit development of crash box with lightweight and excellent energy absorption capacity.

Assessing the Influence of Economic Factors on the Dynamics of Exports of Russian Oil and Petroleum Products Based on the Use of a Combination of PEST and SWOT Analysis Methods

The presented work is part of a series of articles devoted to assessing the influence of external factors on the dynamics of Russian exports. In this and subsequent related works, the authors proposed to consider the external environment, which had a significant impact on the dynamics of Russian exports and the relative diffi culty of revising its structure, the basis of commodity exports of which in value terms are hydrocarbon energy carriers. This work represents a conceptual basis for the use of instrumental methods for assessing the influence of external factors, in this case, economic ones, on the integral and sectoral indicators of Russian exports and, in particular, on the export of hydrocarbon energy resources. In the second part of this article, it is proposed to use a set of environmental analysis methods, the basis of which was the previously successfully used mechanism for combining the methods of PESTEL and SWOT analysis, which will make it possible, based on the use of scores, to describe the cumulative influence of external factors on the dynamics of the main industries of Russian exports. The novelty of the presented approach lies in the absence of a methodology for a comprehensive assessment of the influence of external factors on the dynamics of Russian exports using the selected tools, which seems useful and timely in light of the emergence of new political and economic factors that have a significant impact on Russian foreign trade in general and on the dynamics of the carbohydrate energy market , in particular. The parameters for assessing external factors proposed by the authors were chosen by the author independently, taking into account the modern realities of the development of the world economy, which can also represent a separate point of novelty of the research conducted or be part of one of the existing points of novelty of the presented work. The merit of the authors of this work lies in the fact that this work proposed their own vision of a comprehensive assessment of the influence of external factors on the dynamics of the country’s exports.

Cumulative influence of immunogenic factors, genetic variations, and protein modulations in subacute sclerosing panencephalitis (SSPE): A narrative review

AbstractSubacute sclerosing panencephalitis (SSPE) is a progressive and catastrophic neurodegenerative disorder due to persistent infection with the aberrant measles virus in the brain. The exact etiology of SSPE is still unknown, and early diagnosis remains a challenge, especially with the atypical presentations. The pathogenesis of SSPE involves a complex interplay between viral factors and immunological response of the host. The presenting review demonstrates an extensive glimpse of the immuno‐genetics of SSPE, exploring the single‐nucleotide polymorphisms (SNPs), genetic risk factors and immune responses that influence susceptibility and disease progression.

Evaporation of stable microemulsion droplets

Emulsion fuels have the potential to reduce both particulate matter and NOx emissions and can potentially improve the efficiency of combustion engines. However, their limited stability remains a critical barrier to practical use as an alternative fuel. In this study, we explore the evaporation behavior of thermodynamically stable water-in-oil microemulsions. The water-in-oil microemulsion droplets prepared from different types of oil were acoustically levitated and heated using a continuous laser at different irradiation intensities. We show that the evaporation characteristics of these microemulsions can be controlled by varying water-to-surfactant molar ratio (ω) and volume fraction of the dispersed phase (ϕ). The emulsion droplets undergo three distinct stages of evaporation, namely preheating, steady evaporation, and unsteady evaporation. During the steady evaporation phase, increasing ϕ reduces the evaporation rate for a fixed ω. It is observed that the evaporation of microemulsion is governed by the complex interplay between its constituents and their properties. We propose a parameter (η) denoting the volume fraction ratio between volatile and nonvolatile components, which indicates the cumulative influence of various factors affecting the evaporation process. The evaporation of microemulsions eventually leads to the formation of solid spherical shells, which may undergo buckling. The distinction in the morphology of these shells is explored in detail using scanning electron microscopy imaging.

7p22.3 microdeletion: a case study of a patient with congenital heart defect, neurodevelopmental delay and epilepsy

BackgroundChromosome 7 has regions enriched with low copy repeats (LCRs), which increase the likelihood of chromosomal microdeletion disorders. Documented microdeletion disorders on chromosome 7 include both well-known Williams syndrome and more rare cases. It is noteworthy that most cases of various microdeletions are characterized by phenotypic signs of neuropsychological developmental disorders, which, however, have a different genetic origin. The localization of the microdeletions, the genes included in the region, as well as the structural features of the sequences of these genes have a cumulative influence on the phenotypic characteristics of the individuals for each specific case and the severity of the manifestations of disorders. The consideration of these features and their detailed analysis is important for a correct and comprehensive assessment of the disease.ResultsThe article describes a clinical case of 7p22.3 microdeletion in a patient with congenital heart defect and neurological abnormalities - epilepsy, combined with moderate mental and motor developmental delay.ConclusionsThrough detailed genetic analyses, we are improving the clinical description of the rare 7p22.3 microdeletion and thus creating a basis for future genetic counseling and research into targeted therapies.

Risk of cardiovascular and respiratory diseases attributed to satellite-based PM2.5 over 2017-2022 in Sanandaj, an area of Iran.

The risk of cardiovascular and respiratory diseases attributed to satellite-based PM2.5 has been less investigated. In this study, the attributable risk was estimated in an area of Iran. The predicted air PM2.5 using satellite data and a two-stage regression model was used as the predictor of the diseases. The dose-response linkage between the bias-corrected predictor employing a strong statistical approach and the outcomes was evaluated using the distributed lag nonlinear model. We considered two distinct scenarios of PM2.5 for the risk estimation. Alongside the risk, the attributable risk and number were estimated for different levels of PM2.5 by age and gender categories. The cumulative influence of PM2.5 particles on respiratory illnesses was statistically significant at 13-16µg/m3 relative to the reference value (median), mostly apparent in the middle delays. The cumulative relative risk of 90th and 95th percentiles were 2.03 (CI 95%: 1.28, 3.19) and 2.25 (CI 95%: 1.28, 3.96), respectively. Nearly 600 cases of the diseases were attributable to the non-optimum values of the pollutant during 2017-2022, of which more than 400 cases were attributed to high values range. The predictor's influence on cardiovascular illnesses was along with uncertainty, indicating that additional research into their relationship is needed. The bias-corrected PM2.5 played an essential role in the prediction of respiratory illnesses, and it may likely be employed as a trigger for a preventative strategy.

A transactional model of career adaptability: Longitudinal links between parental career-related behaviors, parent-child relationship, and career adaptability among Chinese adolescents

Although prior studies have established that parental involvement affects career adaptability, few if any have investigated the reciprocal effect of career adaptability on parental involvement. Based on career construction theory and the transactional model of development, this study aimed to examine the bidirectional associations between specific parental career-related behaviors (i.e., support, interference, and lack of engagement), the parent-child relationship, and career adaptability. A three-wave longitudinal design was used to collect data from 3837 Chinese adolescents (Mage = 16.68, SD = 0.45, 52 % females) at three time points with 1-year intervals. The results revealed: (a) bidirectional relationships between support and career adaptability; (b) bidirectional relationships between parent-child relationship and career adaptability, an association that became stronger during the transition from grade 11 to grade 12; (c) bidirectional relationships between the three different parental career-related behaviors and the parent-child relationship. No difference in strength was observed between the parent-driven effect and the child-driven effect. Remarkably, the parent-child relationship was more strongly associated with career adaptability than with any specific parental career-related behavior. Two potential mechanisms were also identified: (a) the cumulative influence of support on the development of career adaptability and vice versa; (b) a longitudinal mediating role of the parent-child relationship between parental career-related behaviors and career adaptability. This study suggests that career adaptability can develop from career-related support and positive parent-child relationship. Relevant interventions could be integrated into educational and counseling programs to equip parents with effective strategies for supporting their children's career development.

Can board of directors’ faultlines improve corporate innovation performance? Evidence from China

Innovation, which is a pivotal force behind the sustained growth of enterprises, has garnered significant attention across various industries. As the epicenter of corporate decision-making, the board of directors plays a pivotal role in allocating resources and overseeing the execution of strategy. Consequently, it inevitably impacts the innovation capabilities of a business. Previous research has focused primarily on single board member characteristics, such as age, gender, tenure, and educational qualifications, overlooking the cumulative influence of multiple attributes. Therefore, this study aims to investigate the impact of faultlines arising from the intersection of these characteristics within a board on innovation performance. Using panel data from China’s A-share listed companies from 2010 to 2021, this research constructs a framework to analyze board faultlines based on gender, age, education, director tenure, independence status, and occupational background. A comprehensive examination reveals a positive association between board faultlines and innovation performance, indicating that diversity within a board can foster enhanced innovative outputs. These findings persist even after rigorous robustness tests, including two-stage instrumental variable regression using lagged innovation performance as well as when substituting explanatory variables and sample intervals. Further analysis reveals that the influence of board faultlines on innovation performance is significant only under certain contextual conditions: when equity concentration is low, industry competition is intense, and risk aversion is greater. This study offers valuable insights for optimizing board membership configurations and thus, ultimately, enhancing the innovation capabilities of enterprises.

Sustainable Agriculture and Its Impact on the Rural Development in EU Countries: A Multivariate Analysis

The aim of this study was to highlight the interrelationship between the environmental, social, and economic pillars of agricultural sustainability and their impact on rural development in EU countries. By considering the cumulative influence of 15 social, economic, and environmental indicators, the study clustered the EU countries into five homogeneous groups using principal component analysis and cluster analysis. The research findings confirm that there is a significant trade-off between the three dimensions of sustainability, particularly between the environmental dimension, on the one hand, and the socio–economic dimension, on the other. Thus, the main real challenges identified for the countries included in cluster 5 (Bulgaria, Greece, Croatia, Lithuania, Latvia, Poland, Romania, and Hungary) are related to the socio–economic pillar of sustainability. Moreover, for four EU countries (Netherlands, Belgium, Denmark, and Ireland), included in two different clusters, achieving environmental goals such as reducing agricultural emissions (SDG 2.60) and increasing area under organic farming (SDG 2.40) represents a significant issue in sustainable agriculture. The results highlighted specific challenges to sustainability in agriculture for EU countries that can hinder its effects on rural development. Therefore, tailored measures should be designed to efficiently address these specific issues.

Optimization Through Artificial Neural Network and Compare with Response Surface Methodology for Multiples Yield

Cotton slub yarn is widely used in denomination and any other casual, physical and mechanical Conditions. The data for the underlying purpose was collected from the Department of Polymer Engineering, National Textile University, and Faisalabad. R-Programming language software is used for analysis. The output of cotton depends on several factors whose cumulative influence on Process efficiency has a direct influence. The purpose of the research was to optimize the 100% cotton slub yarn model (slub length, slub thickness, pause length and linear density) for multiples yield (elongation, imperfection, strength, coefficient of mass variation and hairiness) as Optimizing is a way of identifying and enhancing the performance of the constructed framework by assessing a set of quality parameters, such as process efficiency using two methods response- surface methodology (RSM) and artificial neural network (ANN) and the results are compared using mean square error (MSE). Furthermore, coefficients of determination () and the mean square error root (RMSE) are used for greater accuracy. However, the ANN has consistently performed better than the RSM in all the aspects. The final selected ANN model was able to simultaneously predict the five output parameters with an RMSE of 0.229.

Electromagnetic Field Monitoring by Fixed Stations in Romania: Data Processing Methods and Outcomes

Abstract Electromagnetic field (EMF) monitoring activities provide transparent information to the public interested in the safety levels of human exposure when using various radiofrequency (RF) emitting technologies. In the present work, we investigate different methods of data processing that enable relevant knowledge extraction from the databases gathered by the Romanian EMF-fixed monitoring network. Four categories of methods are proposed and illustrated by investigating the situation of electromagnetic exposure at three locations in Bucharest, during 25 months. The conducted application methods enables field level distributions and trends, time-variability on the short- and long-term basis, cumulative influence comparison and sensing of the significant changes in the environment.

The catastrophic failure of the Jagersfontein tailings dam: An industrial disaster 150 years in the making

This study provides a sociohistorical account of decisions made over a 150-year period about the Jagersfontein mine in South Africa's Free State and the catastrophic failure of its tailings dam that occurred in the early morning of September 11, 2022. The failure resulted in the sudden and uncontrolled release of more than 6 million m3 of liquid sludge, smothering nearly 200 nearby houses and approximately 1600 ha of agricultural and grazing land. Two people died, and one remains missing. Our account of this disaster shows the analytic force of examining the history of the mine's development, the issues decision-makers faced at various points in time, the choices made and the cumulative influence of these conditions on human vulnerability. We present a disaster timeline over four historical periods, linking sources and literature to each significant point in the timeline. It is one of the only available tailings dam failure timelines linked to the social context through historical analysis.

Geopolitical and Economic Trends of Modern World Development

The relevance of the presented research is determined by the fact that in the current decade, changes in global development trends are associated with significant changes that, with varying degrees of probability, can occur within several cycles of economic activity. The purpose of the presented research is to analyze modern world development through the prism of the cumulative infl uence of economic activity cycles of varying duration and strength of infl uence, which determine the emerging mega trends of the coming decade. The novelty of the obtained results lies in identifying the main factors influencing the geopolitical economic trends of contemporary world development, which manifest in the superposition of expected intense changes within the cycles of J. Kitchin, K. Juglar, and N. Kondratieff , potentially demonstrating a convergence in the timing of crisis phases in 2024. The practical significance of the results is in the possibility of using the identified patterns for making strategic management decisions at the meso- and macro-levels.

The influence of depression and anxiety on cognition in people with multiple sclerosis: a cross-sectional analysis.

There are conflicting findings about the relationships between depression, anxiety, and cognitive dysfunction in people with multiple sclerosis (MS), and a paucity of research has examined the cumulative influence on cognition of depression plus anxiety. This study aimed to determine whether elevated symptoms of depression and anxiety alone or in combination are associated with worse cognition in people with MS. In this cross-sectional analysis, people with MS consecutively seen at a tertiary neuropsychiatry clinic completed the Hospital Anxiety and Depression Scale for symptoms of depression (HADS-D) and anxiety (HADS-A), and the Minimal Assessment of Cognitive Function in MS for cognitive indices. Accounting for covariates, regression models predicted cognitive indices from scores for HADS-D, HADS-A, and the interaction. Of 831 people with MS, 72% were female, mean age was 43.2years, and median Expanded Disability Status Scale score was 2.0. Depressive symptoms were independently predictive of lower verbal fluency (Controlled Oral Word Association Test, p < 0.01), verbal learning (California Verbal Learning Test-II (CVLT-II) total learning, p = 0.02), verbal delayed recall (CVLT-II delayed recall, p < 0.01), and processing speed (Symbol Digit Modalities Test, p < 0.01; three-second Paced Auditory Serial Addition Test (PASAT), p = 0.05; two-second PASAT, p = 0.01). Anxiety in people with depression predicted decreased visuospatial function (Judgment of Line Orientation, p = 0.05), verbal learning (p < 0.01), verbal delayed recall (p < 0.01), visuospatial recall (Brief Visuospatial Memory Test-Revised, p = 0.02), and executive function (Delis-Kaplan Executive Function System, p < 0.01). Anxiety alone was not independently predictive of cognition. In conclusion, depression, especially with comorbid anxiety, is associated with cognitive dysfunction in people with MS.

Out-of-Class High School Experiences and Students’ College Aspirations

This study considers whether participation in several out-of-class high school experiences increased the odds that a student would aspire to earn a bachelor’s degree, whether these relationships were moderated by the student’s race/ethnicity or socioeconomic status, and whether these experiences, considered together, had a cumulative influence on educational aspirations. Results suggest that participation in several experiences, including science-related school programs, extracurricular activities, taking a college class, searching the Internet or reading college guides, and talking to a school counselor about going to college, increased the odds that a student will aspire to earn a bachelor’s degree. Findings also suggest a positive, linear relationship as a student increases their participation in these experiences, where participation in four or more of the high school experiences examined significantly increases students’ college aspirations.

Forming professional reliability of railway power supply specialists

The high level of technological, technical, logistics, organizational and economic changes occurring in the railway industry determines the trajectory of development of professional training of specialists. The priority of safety issues in the context of the complex influence of occupational risks actualizes the scientific understanding of the problem associated with the substantiation of effective characteristics that allow one to withstand the cumulative influence of occupational risks, effectively develop in the professional community, maintaining a stable equilibrium state of the “man – technology – production environment” system. Analysis of research and methodological literature, experience of professional applied physical training at railway universities of the Russian Federation made it possible to identify areas of research aimed at bringing the indicators of psychophysical fitness of specialists into line with the conditions for the implementation of their professional activities. In the structure of professional competence of railway transport specialists, researchers highlight readiness for professional activity. At the same time, in today’s rapidly changing conditions of the professional world, it is necessary to form not only the current (basic) professionally significant qualities of a future specialist, but also to create conditions for the development of potential professional abilities, which will allow effectively confronting risk situations and ensuring the formation of self-regulation mechanisms. The quality that ensures the mobilization and activation of available funds, reserves, sources to achieve set goals, solve problems, and unlock opportunities in a certain area is reliability. In the article it is shown that convergence of play with learning determines the developmental effect of the game method. The complex nature of the gaming method allows to form indicators in the structure of professional reliability of railway power supply specialists.

A mismatch between early and recent life stress predicts better response inhibition, but not cognitive inhibition

A growing body of work has found that a mismatch between early and recent life stress, more than a cumulative influence of stress, contributes to detrimental stress-related health outcomes. To date, however, no work has examined how such a mismatch might relate to stress-related cognitive outcomes. We addressed this gap in the current study by assessing participants’ (N = 154, M age = 18.7, 104 female) early and recent life stress using the same inventory, and subsequently assessing their inhibitory control in a hybrid stop-signal/flanker task. Surprisingly, we found that a greater degree of stressor mismatch was associated with better response inhibition (i.e. smaller stop-signal reaction time) across a number of analytic approaches. Cognitive inhibition (i.e. the flanker interference effect) was not associated with stressor mismatch. These results thus show that a greater degree of mismatch between early and recent life stress is related to response inhibition in the same way as acute stress affects response inhibition, suggesting that response inhibition may be an important cognitive process for navigating both acute stress and general environmental conditions that do not match the conditions in which expected stress occurrence was established.

Synergistic analysis of performance appraisal and job rotation in enterprise renewal and optimization

As the rate of change in the business world accelerates, organizations strive to enhance their performance and adjust to novel challenges. Performance appraisal and job rotation are common human resource management methods that have been proven to significantly influence employee performance and organizational effectiveness. Nevertheless, their cumulative influence on business renewal and optimization remains underexplored. Therefore, this study utilizes a mixed-methods approach to quantitatively examine performance appraisal and job rotation practices in a selected group of companies. Additionally, it involves qualitative interviews with managers and employees to offer further insight. The findings indicate that a coordinated strategy in evaluating performance and rotating job responsibilities can enhance employee motivation, develop skills, and improve organizational flexibility. Furthermore, an all-encompassing method to managing human resources, considering the interplay between diverse practices, can result in sustained competitive advantage and organizational accomplishment. The study emphasizes integrating these practices with the organization's strategic goals. Its objective is to investigate the synergies between performance appraisal and job rotation in the context of corporate renewal and optimization. The study elucidates how integrating these strategies can drive corporate renewal and optimization.

Adaptive Content-Aware Influence Maximization via Online Learning to Rank

How can we adapt the composition of a post over a series of rounds to make it more appealing in a social network? Techniques that progressively learn how to make a fixed post more influential over rounds have been studied in the context of the Influence Maximization (IM) problem, which seeks a set of seed users that maximize a post’s influence. However, there is no work on progressively learning how a post’s features affect its influence. In this article, we propose and study the problem of Adaptive Content-Aware Influence Maximization (ACAIM), which calls to find k features to form a post in each round so as to maximize the cumulative influence of those posts over all rounds. We solve ACAIM by applying, for the first time, an Online Learning to Rank (OLR) framework for IM purposes. We introduce the CATRID propagation model , which expresses how posts disseminate in a social network using click probabilities and post visibility criteria and develop a simulator that runs CATRID via a training-testing scheme based on real posts of the VK social network, so as to realistically represent the learning environment. We deploy three learners that solve ACAIM in an online (real-time) manner. We experimentally prove the practical suitability of our solutions via exhaustive experiments on multiple brands (operating as different case studies ) and several VK datasets; the best learner is evaluated on 45 separate case studies yielding convincing results.

Psycho-social predictors of motivation for treatment in patients with mental disorders: the role of adverse childhood experiences and internalized stigma.

IntroductionMotivation for treatment is an important socio-psychological characteristic of patients, which is subject to the joint influence of various factors, each of which may require specific rehabilitation interventions.ObjectivesTo analyze and evaluate the cumulative influence of adverse childhood experiences (ACE), internal stigma, social characteristics on the intensity of treatment motivation in patients with mental disorders.Methods 102 patients with mental disorders were examined using Adverse Childhood Experience Questionnaire (ACEQ), Russian-language validated Internalized Stigma of Mental Illness (ISMI) scale and Treatment Motivation Assessment Questionnaire (TMAQ).Results As a result of regression analysis (table 1), a model was obtained that predicted an increase in the chances of high patient’s motivation for treatment with an increase in the total score of ACEs (ACEQ total score) and with higher education. The overall severity of internal stigma (ISMI total score) did not show a significant effect on the chances of developing intense motivation in patients. Table 1.Model of logistic regression analysis of educational, ACE total score and ISMI total score with the severity of motivation for treatment.PredictorBSEpExp (B)95% confidence interval for EXP(B)Secondary education1,1200,6990,1093,0650,778-12,074Higher education1,9720,775,0117,1891,574-32,834ISMI total score-0,4350,7730,5740,6470,142-2,946ACEQ total score0,3460,1470,0191,4141,060-1,886After post data analysis (table 2), a cut-off point was established for the ACEQ total score of 4 points, corresponding to an increased chances of high patient’s treatment motivation. Table 2.Results of the test ROC analysis for ACEQ total score and the severity of motivation for treatment.CutpointSensitivity (%)Specificity (%)Youden’s indexAUC364.71%53.57%0.1830.689450%75%0.2500.689538.24%85.71%0.2390.689ConclusionsACEs may likely be a source of posttraumatic growth in adulthood in patients with mental illness specially if their count amounts to 4 or more variants. The role of social and psychological characteristics of patients with mental disorders in the psychology of the treatment process should be considered systemically, rather than discretely.Disclosure of InterestNone Declared