scholarly journals Study on the Influence of Temperature on Tire Cornering Stiffness and Aligning Stiffness

2020 ◽  
Author(s):  
Dang Lu ◽  
Lei Lu ◽  
HaiDong Wu ◽  
Lun Li ◽  
Wei Wang ◽  
...  
Keyword(s):  
Predictive Ability ◽  
Small Range ◽  
Temperature State ◽  
Influence Of Temperature On ◽  
Basic Expression ◽  
Model Derivation ◽  
The Relationship ◽  
Two Temperature ◽  
Brush Model ◽  
Indoor And Outdoor

Abstract Based on the results of tire handling test, the cornering properties of the tire at a small range of steer angles under different temperature are obtained, and the variation law of the tire cornering characteristic parameters with the tire temperature is obtained. By establishing a tread temperature model and finite element tire model considering temperature, the mechanism of tire mechanical properties with temperature is clarified, and the expression of tread stiffness and aligning stiffness considering temperature is obtained. Then, based on the above expression and the tire brush model considering the tire temperature state, a complex brush model is established. Through the model derivation, the relationship between the temperature and the tire cornering stiffness is obtained. The relationship is used as the basic expression formula to establish the UniTire cornering model considering tire temperature. In order to verify the correctness of the model, four kinds of temperature state cornering data are used for parameter identification, and the tire cornering properties in the other two temperature states is predicted. The error between the simulation results of the prediction model and the experimental results is very small, which effectively proves the predictive ability of the UniTire cornering model considering tire temperature. This research is helpful to improve the application of UniTire model, and provide theoretical and technical support for UniTire model indoor and outdoor expansion applications

Research and modeling of tire cornering characteristics considering temperature based on UniTire model

2021 ◽  
pp. 095440702110244
Author(s):  
Lei Lu ◽  
Dang Lu ◽  
Haidong Wu ◽  
Wei Wang ◽  
Lun Li ◽  
...  
Keyword(s):  
Mechanical Characteristics ◽  
Predictive Ability ◽  
Tire Model ◽  
Temperature Model ◽  
Temperature State ◽  
Basic Expression ◽  
Simulation Results ◽  
The Relationship ◽  
Two Temperature ◽  
Brush Model

Based on the results of tire handling test, the cornering properties of the tire at small side slip under different temperature are obtained, and the variation law of the parameters of tire cornering characteristic with the temperature is obtained. By establishing a tread temperature model and finite element tire model considering the influence of temperature, the mechanism of tire mechanical properties with temperature is clarified, and the expression of tread stiffness and aligning stiffness considering temperature is obtained. Then, based on the above expression and the tire mechanical characteristics with temperature, a complex brush model is established and the relationship between the temperature and the tire cornering properties is obtained. The relationship is used as the basic expression formula to establish the UniTire cornering model considering tire temperature. In order to verify the correctness of the model, four kinds of temperature state cornering data are used for parameter identification, and the tire cornering properties in the other two temperature states is predicted. The error between the simulation results of the prediction model and the experimental results is very small, which effectively proves the predictive ability of the UniTire cornering model considering tire temperature. This research is helpful to improve the application of UniTire model under different temperature condition.

scholarly journals Reduction in mobility and COVID-19 transmission

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Pierre Nouvellet ◽  
Sangeeta Bhatia ◽  
Anne Cori ◽  
Kylie E. C. Ainslie ◽  
Marc Baguelin ◽  
...  
Keyword(s):  
Predictive Ability ◽  
Control Measures ◽  
Social Distancing ◽  
Beneficial Effects ◽  
Mobility Data ◽  
Strict Control ◽  
Before And After ◽  
Proxy Measure ◽  
Lower Transmission ◽  
The Relationship

AbstractIn response to the COVID-19 pandemic, countries have sought to control SARS-CoV-2 transmission by restricting population movement through social distancing interventions, thus reducing the number of contacts. Mobility data represent an important proxy measure of social distancing, and here, we characterise the relationship between transmission and mobility for 52 countries around the world. Transmission significantly decreased with the initial reduction in mobility in 73% of the countries analysed, but we found evidence of decoupling of transmission and mobility following the relaxation of strict control measures for 80% of countries. For the majority of countries, mobility explained a substantial proportion of the variation in transmissibility (median adjusted R-squared: 48%, interquartile range - IQR - across countries [27–77%]). Where a change in the relationship occurred, predictive ability decreased after the relaxation; from a median adjusted R-squared of 74% (IQR across countries [49–91%]) pre-relaxation, to a median adjusted R-squared of 30% (IQR across countries [12–48%]) post-relaxation. In countries with a clear relationship between mobility and transmission both before and after strict control measures were relaxed, mobility was associated with lower transmission rates after control measures were relaxed indicating that the beneficial effects of ongoing social distancing behaviours were substantial.

Diagnostic grammar and assessment: translating criteria into questions

1989 ◽  
Vol 19 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Lee N. Robins
Keyword(s):  
Diagnostic Criteria ◽  
Catchment Area ◽  
Predictive Ability ◽  
Diagnostic Interview ◽  
Good Prediction ◽  
Interview Schedule ◽  
Validity Data ◽  
Validity Assessment ◽  
Standardized Interview ◽  
The Relationship

SynopsisThere has been concern about whether standardized psychiatric interviews make valid diagnoses. Agreements between the Diagnostic Interview Schedule (DIS), as an example of a standardized interview, with independent assessments by a clinician are reasonably high in most studies, but the clinical assessment is itself of uncertain validity. Using predictive ability is an alternative way of judging validity. Data are presented to show that the DIS is almost as good at prediction as a clinician's assessment, but here too there are problems. Because prediction is probabilistic (i.e. the same disorder can have multiple outcomes, and different disorders can share outcomes), it is not possible to say how good prediction has to be to demonstrate perfect validity.Across varied methods of validity assessment, some disorders are regularly found more validly diagnosed than others, suggesting that part of the source of invalidity lies in the diagnostic grammar of the systems whose criteria standardized interviews evaluate. Sources of invalidity inherent in the content and structure of a variety of diagnoses in DSM-III and its heir, DSM-III-R, are reviewed and illustrated, in part with results from the Epidemiological Catchment Area study.The relationship between diagnostic criteria and standardized interviews is symbiotic. While attempts to adhere closely to existing diagnostic criteria contribute to the diagnostic accuracy of standardized interviews, the exercise of translating official diagnostic criteria into standardized questions highlights problems in the system's diagnostic grammar, enabling standardized interviews to contribute to improvements in diagnostic nosology.

Estimating the influence of temperature on the survival of chinook salmon smolts (Oncorhynchus tshawytscha) migrating through the Sacramento – San Joaquin River Delta of California

1995 ◽  
Vol 52 (4) ◽  
pp. 855-863 ◽  
Author(s):  
Peter Fritz Baker ◽  
Franklin K. Ligon ◽  
Terence P. Speed
Keyword(s):  
Water Temperature ◽  
Chinook Salmon ◽  
Oncorhynchus Tshawytscha ◽  
Logistic Function ◽  
Laboratory Findings ◽  
Natural Systems ◽  
San Joaquin River ◽  
Influence Of Temperature On ◽  
The Relationship ◽  
Good Agreement

Data from the U.S. Fish and Wildlife Service are used to investigate the relationship between water temperature and survival of hatchery-raised fall-run chinook salmon (Oncorhynchus tshawytscha) smolts migrating through the Sacramento – San Joaquin Delta of California. A formal statistical model is presented for the release of smolts marked with coded-wire tags (CWTs) in the lower Sacramento River and the subsequent recovery of marked smolts in midwater trawls in the Delta. This model treats survival as a logistic function of water temperature, and the release and recovery of different CWT groups as independent mark–recapture experiments. Iteratively reweighted least squares is used to fit the model to the data, and simulation is used to establish confidence intervals for the fitted parameters. A 95% confidence interval for the upper incipient lethal temperature, inferred from the trawl data by this method, is 23.01 ± 1.08 °C This is in good agreement with published experimental results obtained under controlled conditions (24.3 ± 0.1 and 25.1 ± 0.1 °C for chinook salmon acclimatized to 10 and 20 °C, respectively): this agreement has implications for the applicability of laboratory findings to natural systems.

Exploring relationships among ethical climate types and organizational commitment

2017 ◽  
Vol 9 (1) ◽  
pp. 20-40 ◽  
Author(s):  
Japneet Kaur
Keyword(s):  
Organizational Commitment ◽  
Employee Turnover ◽  
Ethical Climate ◽  
Banking Sector ◽  
Banking Industry ◽  
Negative Impact ◽  
Predictive Ability ◽  
Content Type ◽  
The Relationship ◽  
Three Components

Purpose Indian banking sector is facing a number of challenges, and increasing number of corporate frauds and employee turnover are among the top list. Literature reveals that gaining insights about ethical climate may provide a possible solution and relief from the challenges being faced. This paper aims to contribute to the understanding of the prevalent various ethical climate types in the Indian banking industry. Furthermore, it presents interesting results by investigating the effect of five theorized ethical climate types on organizational commitment along with its three components in the banking sector. Design/methodology/approach This empirical research encompasses a descriptive research design. Sample uses 266 respondents from four prime banks of the Indian banking industry. Findings Statistical analyses unveiled that all five conceptualized ethical climate types are prevalent in the Indian banking industry. However, the perception of employees for caring climate was the highest among all others. In contrast to the results reported by Western studies, this research reveals a strong negative impact of instrumental climate on affective commitment. Furthermore, it has been seen that instrumental climate is a significant predictor for the three components of commitment (affective, continuance and normative). However, it fails to predict the overall organizational commitment construct. Likewise, opposed to findings of Western countries, law and code, rules and independent climate types have shown significant relationship and impact on organizational commitment for Indian banking sector employees. It has been found that different commitment components are predicted by a diverse mix of climate types in India. Practical implications Findings highlight varying strength of relationship and predictive ability of different ethical climate types with commitment. This helps in elucidating that managers and top executives should focus on building an ethical work environment to warrant high-level commitment among employees. Congruence between employee, manager and organizations’ perception of ethics is a pre-requisite for maintaining a long-term relationship among the parties. This study will enable understanding the role of ethical climate in reducing corporate frauds and employee turnover. Originality/value This research addresses a significant gap in literature by exploring the relationship between ethical climate and organizational commitment. The study uses data from the Indian banking industry which contributes to expanding knowledge of the relationship in the Indian context.

scholarly journals The ability of cash flows to predict the earning: Evidence from Jordan

2021 ◽  
Vol 18 (4) ◽  
pp. 36-44
Author(s):  
Mohammad Fawzi Shubita
Keyword(s):  
Stock Exchange ◽  
Predictive Ability ◽  
Cash Flows ◽  
Operating Cycle ◽  
Prediction Ability ◽  
Future Earnings ◽  
Industrial Companies ◽  
Amman Stock Exchange ◽  
Great Support ◽  
The Relationship

This study aims to investigate the ability of cash flows components to predict the earning and to know the extent of the relationship between accounting profits and cash flow measures. The study sample consisted of 77 industrial companies listed on the Amman Stock Exchange in Jordan for the period from 2006 to 2019. This study relied on the regression method to test the relationship between the study variables. The study findings showed that the cash flows from operating, investing, and financial activities have a statistically significant impact on predicting future earnings. The study also examined the effect of length of operating cycle and company’s size on the predictive ability of cash flows regarding future earnings. The main results for this aspect are that large companies and short operating cycle companies have higher prediction ability for future earnings than small and long operating cycle companies. This paper provides evidence of the information content of cash flows for future earnings in emerging markets like Jordan and is important for Jordanian shareholders by enabling them to evaluate company’s performance. AcknowledgmentsI would like to thank Amman Arab University for its great support, and for funding this study.

scholarly journals Anthropometric indices obesity and cardiometabolic risk: is there a link?

2021 ◽  
Vol 20 (4) ◽  
pp. 2746
Author(s):  
A. V. Svarovskaya ◽  
A. A. Garganeeva
Keyword(s):  
Cardiometabolic Risk ◽  
Predictive Ability ◽  
Dietary Lipids ◽  
The Body ◽  
Prognostic Models ◽  
Metabolic Phenotype ◽  
Visceral Adiposity Index ◽  
Obesity Indices ◽  
Relationship Of ◽  
The Relationship

Adipose tissue is currently regarded as a key organ for excess dietary lipids, which determine whether the body will maintain normal homeostasis or whether inflammation and insulin resistance will develop. In recent years, there is more information about novel prognostic models — the visceral adiposity index and the lipid accumulation product. The aim of this review was to analyze the results of studies examining the relationship between various indices of obesity and cardiometabolic risk. We analyzed 105 literature sources, 53 of which were ruled out, becausethe processes of interest were not described in detail or included anassessment of the relationship of various obesity indices with metabolic parameters. The results obtained indicate the advisability of using novel obesity indices, which have a good predictive ability and are simple and convenient to use. It is necessary to use additional methods of anthropometric and clinical examination in order to assess the metabolic phenotype of obesity, which will make it possible to stratify patients by the level of cardiometabolic risk.

Management Forecasting Ability and Predictive Ability of Dividend Changes for Future Earnings

2021 ◽  
pp. 0148558X2110632
Author(s):  
Hsihui Chang ◽  
Souhei Ishida ◽  
Takuma Kochiyama
Keyword(s):  
Empirical Evidence ◽  
Signaling Theory ◽  
Predictive Ability ◽  
Positive Association ◽  
Moderating Effect ◽  
Large Sample ◽  
Future Earnings ◽  
Dividend Increases ◽  
The Relationship

We revisit the predictive ability of dividend changes for firms’ future earnings and extend the literature by examining the effect of management forecasting ability. Although prior studies have examined the relationship between dividend changes and future earnings, the empirical evidence is mixed. The belief that dividend changes have implications for future earnings depends on the assumption that managers can accurately assess future earnings prospects. In this regard, we posit that the predictive ability of dividends can vary with managers’ forecasting ability. Analyzing a large sample of Japanese dividend-paying firms, we find that dividend changes, particularly dividend increases, are positively associated with increases in future earnings. Consistent with our hypothesis, this positive association is more pronounced for firms with high-forecasting ability managers. Our findings support the signaling theory of dividend changes and indicate that management forecasting ability has a moderating effect on the linkage between firms’ dividend changes and future earnings.

scholarly journals Influence of Temperature on Mechanical Properties of P(BAMO-r-THF) Elastomer

Polymers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 2507
Author(s):  
Jinxian Zhai ◽  
Hanpeng Zhao ◽  
Xiaoyan Guo ◽  
Xiaodong Li ◽  
Tinglu Song
Keyword(s):  
Mechanical Properties ◽  
X Ray Diffraction ◽  
Polymeric Chains ◽  
Different Temperatures ◽  
Influence Of Temperature On ◽  
Strain Induced Crystallization ◽  
Thermal Histories ◽  
Static Conditions ◽  
The Relationship ◽  
Induced Crystallization

The relationship between temperature and the mechanical properties of an end cross-linked equal molar random copolyether elastomer of 3,3-bis(azidomethyl)oxetane and tetrahydrofuran (P(BAMO-r-THF)) was investigated. During this investigation, the performances of two P(BAMO-r-THF) elastomers with different thermal histories were compared at different temperatures. The elastomer as prepared at 20 °C (denoted as S0) exhibited semi-crystallization morphology. Wide angle X-ray diffraction analysis indicated that the crystal grains within elastomer S0 result from the crystallization of BAMO micro-blocks embedded in P(BAMO-r-THF) polymeric chains, and the crystallinity is temperature irreversible under static conditions. After undergoing a heating-cooling cycle, this elastomer became an amorphous elastomer (denoted as S1). Regarding mechanical properties, at 20 °C, break strains and stresses of 315 ± 22% and 0.46 ± 0.01 MPa were obtained for elastomer S0; corresponding values of 294 ± 6% and 0.32 ± 0.02 MPa were obtained for elastomer S1. At −40 °C, these strains and stresses simultaneously increased to 1085 ± 21% and 8.90 ± 0.72 MPa (S0) and 1181 ± 25% and 10.23 ± 0.44 MPa (S1), respectively, owing to the strain-induced crystallization of BAMO micro-blocks within the P(BAMO-r-THF) polymeric chains.

scholarly journals The influence of temperature on methane adsorption in coal: A review and statistical analysis

2019 ◽  
Vol 37 (9-10) ◽  
pp. 745-763 ◽  
Author(s):  
Zhijun Wang ◽  
Xiaojuan Wang ◽  
Weiqin Zuo ◽  
Xiaotong Ma ◽  
Ning Li
Keyword(s):  
Coalbed Methane ◽  
Methane Adsorption ◽  
Gas Content ◽  
Future Research ◽  
Temperature Dependent ◽  
Current State ◽  
Influence Of Temperature On ◽  
State Of Research ◽  
Increasing Temperature ◽  
The Relationship

The capacity of coal to adsorb methane is greatly affected by temperature and, in recent years, temperature-dependent adsorption has been studied by many researchers. Even so, comprehensive conclusions have not been reached and conflicting experimental results are common. This paper reviews the current state of research regarding the temperature-dependent adsorption of methane in coal and catalogs the conclusions from experiments conducted on that subject by 28 researchers, as published between 1995 and 2017. Probability theory and statistics are used to show that the conclusion generally accepted by most researchers is that the amount of methane adsorbed by coal decreases with increasing temperature. It is highly likely that the Langmuir volume decreases as the temperature rises, and it is also probable that the Langmuir pressure increases at higher temperatures. Equations are presented that express the relationships between methane adsorption, Langmuir volume, Langmuir pressure, and temperature. Future research should be directed toward determining the relationship between Langmuir pressure and temperature. The results of the study presented herein provide a theoretical basis for predicting the gas content in coal seams and improving the efficiency of coalbed methane development.

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