Simple correlations for calculating NHTPB enthalpy of formation through molecular structures

2019 ◽  
Vol 15 (1) ◽  
pp. 258-264 ◽  
Author(s):  
Hamid Reza Ghaieni ◽  
Saeed Tavangar ◽  
Mohammad Moein Ebrahimzadeh Qhomi
Keyword(s):  
Enthalpy Of Formation ◽  
Design Methodology ◽  
Predictive Power ◽  
Cross Validation ◽  
Molecular Structures ◽  
Mean Square ◽  
Mean Square Deviation ◽  
Simple Correlation ◽  
Content Type ◽  
Regression Methods

Purpose The purpose of this paper is to present simple correlation for calculating nitrated hydroxyl-terminated polybutadiene (NHTPB) enthalpy of formation. Design/methodology/approach It uses multiple linear regression methods. Findings The proposed correlation has determination coefficient 0.96. The correlation has root mean square deviation and the average absolute deviations values 53.4 and 46.1 respectively. Originality/value The predictive power of correlation is checked by cross-validation method (R2=0.96, Q L O O 2 = 0.96 ).

Jumping to conclusions – an analysis of the NBA Draft Combine athleticism data and its influence on managerial decision-making

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tobias Berger ◽  
Frank Daumann
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Predictive Power ◽  
Principal Component ◽  
Decision Makers ◽  
Decision Quality ◽  
Managerial Behavior ◽  
Managerial Decision ◽  
Content Type ◽  
Selection Behavior

PurposeThe NBA Draft policy pursues the goal to provide the weakest teams with the most talented young players to close the gap to the superior competition. But it hinges on appropriate talent evaluation skills of the respective organizations. Research suggests the policy might be valid but to date unable to produce its intended results due to the “human judgement-factor”. This paper investigates specific managerial selection-behavior-influencing information to examine why decision-makers seem to fail to constantly seize the opportunities the draft presents them with.Design/methodology/approachAthleticism data produced within the NBA Draft Combine setting is strongly considered in the player evaluations and consequently informs the draft decisions of NBA managers. Curiously, research has failed to find much predictive power within the players pre-draft combine results for their post-draft performance. This paper investigates this clear disconnect, by examining the pre- and post-draft data from 2000 to 2019 using principal component and regression analysis.FindingsEvidence for an athletic-induced decision-quality-lowering bias within the NBA Draft process was found. The analysis proves that players with better NBA Draft Combine results tend to get drafted earlier. Controlling for position, age and pre-draft performance there seems to be no proper justification based on post-draft performance for this managerial behavior. This produces systematic errors within the structure of the NBA Draft process and leads to problematic outcomes for the entire league-policy.Originality/valueThe paper delivers first evidence for an athleticism-induced decision-making bias regarding the NBA Draft process. Informing future selection-behavior of managers this research could improve NBA Draft decision-making quality.

Technopreneurship intention among nonbusiness students: a quantitative assessment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bahadur Ali Soomro ◽  
Naimatullah Shah
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Quantitative Assessment ◽  
Predictive Power ◽  
New Venture ◽  
Equation Modeling ◽  
Survey Questionnaire ◽  
Content Type ◽  
The Impact ◽  
Practical Implications

PurposeThe present study attempts to identify the predictive power of technopreneurial-related activities (TRAs), technopreneurial self-efficacy (TSE) and technopreneurial motivation (TM) on technopreneurial intention (TE) among the nonbusiness students.Design/methodology/approachA conceptual framework is developed for investigation. A quantitative approach is adopted for this research, and the data are collected from the 282 students of the different public sector universities with a survey questionnaire. The application of structural equation modeling (SEM) is applied to investigate the impact of TRAs, TSE and TM on TE.FindingsThe results of SEM found a positive and significant impact of TRAs, TSE and TM on TE among the nonbusiness students of Pakistan.Practical implicationsThe study would be beneficial for the planners and policymakers of universities to improve modes of technopreneurship. The findings may encourage the students to develop strong beliefs, abilities and skills to start a new venture. The literature of entrepreneurship and technopreneurship may further enrich with empirical evidence of the present study.Originality/valueThe study would make technopreneurs able to deal with society's challenges.

Commitment among adjunct faculty

2020 ◽  
Vol 12 (5) ◽  
pp. 1209-1220
Author(s):  
Heidi Reeder
Keyword(s):  
Adjunct Faculty ◽  
Self Efficacy ◽  
Design Methodology ◽  
Predictive Power ◽  
Adjunct Instructors ◽  
Content Type ◽  
Part Time ◽  
Time Position ◽  
The Stability ◽  
Practical Implications

PurposeWithout the stability of tenure, adjunct faculty have few barriers to leave their position. The purpose of this article is to understand the variables that predict commitment among adjunct instructors.Design/methodology/approachThis paper statistically analyzed data from a survey completed by adjunct instructors at two 4-year universities. The survey included scales on commitment, satisfaction, investments, alternatives and the psychological concepts of grit and self-efficacy. In addition, a qualitative analysis was conducted on supplemental open-ended questions that allowed participants to describe the basis of their commitment.FindingsSatisfaction and investments were the main predictors of commitment and those together accounted for just over 50 percent of the variance. Grit and self-efficacy did not correlate with commitment, but did correlate with satisfaction and investments.Practical implicationsGiven the predictive power of satisfaction to explain commitment, understanding the specific rewards and costs experienced by this population can give administrators ideas for making the part-time position more appealing. Similarly, given the predictive power of investments, administrators might consider identifying avenues for adjunct faculty to contribute to the department and university in a meaningful and rewarding way.Originality/valueUniversities are increasingly dependent on adjunct instructors, so it is worthwhile to understand the experience of such faculty. This is best done through research, rather than relying on assumptions, stereotype or anecdotes.

scholarly journals Construction of China’s financial conditions index in the post-crisis era

2019 ◽  
Vol 2 (2) ◽  
pp. 258-276
Author(s):  
Nan Li ◽  
Liu Yuanchun
Keyword(s):  
Financial Stability ◽  
Design Methodology ◽  
Predictive Power ◽  
Time Varying ◽  
Content Type ◽  
Vector Autoregressive ◽  
Financial Variables ◽  
Financial Conditions ◽  
Time Varying Parameter ◽  
Better Than

Purpose The purpose of this paper is to summarize different methods of constructing the financial conditions index (FCI) and analyze current studies on constructing FCI for China. Due to shifts of China’s financial mechanisms in the post-crisis era, conventional ways of FCI construction have their limitations. Design/methodology/approach The paper suggests improvements in two aspects, i.e. using time-varying weights and introducing non-financial variables. In the empirical study, the author first develops an FCI with fixed weights for comparison, constructs a post-crisis FCI based on time-varying parameter vector autoregressive model and finally examines the FCI with time-varying weights concerning its explanatory and predictive power for inflation. Findings Results suggest that the FCI with time-varying weights performs better than one with fixed weights and the former better reflects China’s financial conditions. Furthermore, introduction of credit availability improves the FCI. Originality/value FCI constructed in this paper goes ahead of inflation by about 11 months, and it has strong explanatory and predictive power for inflation. Constructing an appropriate FCI is important for improving the effectiveness and predictive power of the post-crisis monetary policy and foe achieving both economic and financial stability.

Do tourists’ emotional experiences influence images and intentions in yoga tourism?

2019 ◽  
Vol 74 (3) ◽  
pp. 646-665 ◽  
Author(s):  
Pramod Sharma ◽  
Jogendra Kumar Nayak
Keyword(s):  
Behavioral Intentions ◽  
Structural Equation ◽  
Design Methodology ◽  
Predictive Power ◽  
Equation Modeling ◽  
Emotional Experiences ◽  
Content Type ◽  
Confirmatory Factor ◽  
Using Data ◽  
Practical Implications

Purpose The purpose of this study is to investigate the influence of tourists’ emotional experiences on predicting behavioral intentions via cognitive, affective and overall image in yoga tourism. Design/methodology/approach This study was conducted using data collected from 398 tourists visiting a yoga tourism destination in India. Confirmatory factor analysis and structural equation modeling were used in analyzing the collected data. Findings The study confirmed that specific tourists’ emotions act as a predictor of cognitive, affective and overall image. This in turn influenced the behavioral intentions of tourists. The effect of specific emotions on affective image was stronger than on cognitive image in yoga tourism. Practical implications The marketing campaign of yoga tourism should highlight the special benefits of yoga to activate, stimulate and influence tourists toward yoga tourism, thereby improving the flow of future tourists. It would also help in better positioning and promoting yoga tourism as a unique and distinct niche tourism market. Originality/value This study contributed to the literature by understanding the predictive power of specific emotions on behavioral intentions via, cognitive, affective and overall image in yoga tourism. As far as the authors’ knowledge is concerned, this study is first known attempt to investigate such relationships in tourism literature.

scholarly journals G-RMSD: Root Mean Square Deviation Based Method for Three-dimensional Molecular Similarity Determination

2020 ◽  
Author(s):  
Tomonori Fukutani, ◽  
kohei Miyazawa ◽  
Satoru Iwata ◽  
Hiroko Satoh
Keyword(s):  
Root Mean Square ◽  
Root Mean Square Deviation ◽  
Three Dimensional ◽  
Valence Bond ◽  
Optimization Method ◽  
Molecular Structures ◽  
Mean Square ◽  
Mean Square Deviation ◽  
Atomic Structures ◽  
Structure Search

<div>We present the Generalized Root Mean Square Deviation (G-RMSD) method. G-RMSD is an optimization method to calculate the minimal RMSD value of two atomic structures by optimal superimposition. The method is not restricted to systems with an equal number of atoms or a unique atom matching and can handle any type of chemical structure, including transition states and non-valence bond structures. It requires only Cartesian coordinates for the structures, but can also include further information, i.e. atom and bond types. Applications of G-RMSD to the classification of alpha-D-glucose conformers and 3D partial structure search using a dataset containing equilibrium (EQ), dissociation channel (DC), and transition state (TS) structures are demonstrated. We find that G-RMSD allows for a successful classification and mapping for a wide variety of molecular structures.</div><div><br></div>

scholarly journals G-RMSD: Root Mean Square Deviation Based Method for Three-dimensional Molecular Similarity Determination

2020 ◽  
Author(s):  
Tomonori Fukutani, ◽  
kohei Miyazawa ◽  
Satoru Iwata ◽  
Hiroko Satoh
Keyword(s):  
Root Mean Square ◽  
Root Mean Square Deviation ◽  
Three Dimensional ◽  
Valence Bond ◽  
Optimization Method ◽  
Molecular Structures ◽  
Mean Square ◽  
Mean Square Deviation ◽  
Atomic Structures ◽  
Structure Search

<div>We present the Generalized Root Mean Square Deviation (G-RMSD) method. G-RMSD is an optimization method to calculate the minimal RMSD value of two atomic structures by optimal superimposition. The method is not restricted to systems with an equal number of atoms or a unique atom matching and can handle any type of chemical structure, including transition states and non-valence bond structures. It requires only Cartesian coordinates for the structures, but can also include further information, i.e. atom and bond types. Applications of G-RMSD to the classification of alpha-D-glucose conformers and 3D partial structure search using a dataset containing equilibrium (EQ), dissociation channel (DC), and transition state (TS) structures are demonstrated. We find that G-RMSD allows for a successful classification and mapping for a wide variety of molecular structures.</div><div><br></div>

Performance analysis of PCM curtain for thermal comfort

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shubham Srivastava ◽  
Abhishek Srivastava ◽  
Sanya Jain ◽  
Nandan Kumar ◽  
Chandra Shekhar Malvi
Keyword(s):  
Thermal Comfort ◽  
Design Methodology ◽  
Phase Change Materials ◽  
Heat Exposure ◽  
Mean Square ◽  
Constant Heat ◽  
Content Type ◽  
One Dimensional ◽  
Simulation Results ◽  
Modelling Assumptions

Purpose This study aims to analyse the variations of thermal comfort inside a building space by using different curtains. Design/methodology/approach Phase change materials (PCMs) such as wax, sand and mixture of sand and wax were used with cotton curtain to compare the results of PCM curtains with the performance of normal cotton curtain against constant heat exposure. Heat exposure was provided with halogen to simulate the solar radiation. Further simulation was performed on ANSYS and experimental results were compared with the simulation results. In addition to this, the results were analysed for optimized performance by calculation root mean square error. Findings It was found that PCM used curtains that have better performance than normal curtain. Furthermore, sand curtain was proved as the best curtain and mixture of sand and wax curtain could replace the sand curtain where there is limitation of weight; also, there was less error between experimental and simulation was reported for sand curtain as compare to other curtains. Research limitations/implications Layers of different PCMs were used before cotton curtain and in modelling assumptions such as one-dimensional heat transfer, uniform thermal conductivity. Originality/value To the best of the authors’ knowledge, there is no such study that was performed earlier.

Using gerontographics to explain consumer behaviour in later life: evidence from a Thai study

2018 ◽  
Vol 35 (3) ◽  
pp. 317-327 ◽  
Author(s):  
Thuckavadee Sthienrapapayut ◽  
George P. Moschis ◽  
Anil Mathur
Keyword(s):  
Older Adults ◽  
Regression Analysis ◽  
Design Methodology ◽  
Consumer Behaviour ◽  
Predictive Power ◽  
Later Life ◽  
Business Strategies ◽  
Chronological Age ◽  
Content Type ◽  
Cognitive Age

Purpose The purpose of this study is to test the efficiency of the “gerontographics” model in predicting selected consumer behaviours in older adults. Design/methodology/approach Through regression analysis, a large sample of older Thai adults is used to test the predictive power of gerontographics against predictive measures based on both chronological age and cognitive age. Findings The findings of the study show that the gerontographics model is more powerful in predicting certain types of older adults’ consumer behaviour than chronological age or cognitive age. Originality/value These findings have implications for marketing and business strategies because they suggest that gerontographics segmentation may be a more useful and effective way to segment older consumers.

Evaluating the tracking performance and tracking error of New Zealand exchange traded funds

2017 ◽  
Vol 29 (3) ◽  
pp. 443-462 ◽  
Author(s):  
Jun Chen ◽  
Yi Chen ◽  
Bart Frijns
Keyword(s):  
New Zealand ◽  
Design Methodology ◽  
Tracking Error ◽  
Cointegration Analysis ◽  
Tracking Performance ◽  
Exchange Traded Funds ◽  
Frequency Tracking ◽  
Content Type ◽  
Regression Methods ◽  
Daily Frequency

Purpose The aim of this study is to examine the tracking performance and tracking error (TE) of New Zealand exchange traded fsunds (ETFs). Design/methodology/approach The authors use regression methods and cointegration analysis to examine tracking performance. Multivariate regressions are used to examine the determinants of TE. Findings At the daily frequency, the authors observe that the ETFs have substantially different exposures to their underlying indexes from what they should be, which is confirmed by cointegration analysis. At the monthly frequency, tracking performance improves but still shows significant differences between the ETF and its underlying index. When the authors examine the TEs of the ETFs, the authors observe that these are substantial and that there is considerable variation in TE. Regression analysis shows that both characteristics of the ETF and the constituents of the index the ETF tracks, as well as the volatility of the underlying benchmark are determinants of the TE of the ETFs. Originality/value This is the first study to examine New Zealand-based ETFs. The findings contribute to understanding the performance of these ETFs and are of relevance to academics, investors and the ETF provider.

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