scholarly journals Never Too Much – The Benefit of Talent to Team Performance in the NBA: Comment on Swaab et al. (2014)

2020 ◽  
Author(s):  
Bartosz Gula ◽  
Nemanja Vaci ◽  
Rainer W. Alexandrowicz ◽  
Merim Bilalic
Keyword(s):  
Team Performance ◽  
Good Thing ◽  
Performance Support ◽  
Quadratic Term ◽  
Common Belief ◽  
Data Set ◽  
Lay Beliefs ◽  
Regression Approach ◽  
The Common

The Too-Much-Talent Effect (TMT, Swaab et al., 2014) challenges the common belief that teams’ performance is directly proportional to the talent of its members and aligns among various Too Much of a Good Thing (TMGT) phenomena. Although the assumption holds up to a point, the authors argue, beyond that point, talent becomes detrimental to performance. Support was provided by the results of quadratic regressions between team performance and talent across 10 NBA seasons, testing whether the coefficient of the quadratic term was negative. We reexamined the TMT effect for the same 10 NBA seasons and for a larger data set spanning 64 NBA seasons using the two-lines, interrupted regression approach (Simonsohn, 2018). Our results show that similar to lay beliefs (Swaab et al., 2014, Study 1) teams generally benefit from more talented members, the benefit appears to be marginally decreasing, but more talent is never detrimental to team performance.

Is Pattern Bargaining Dead?

ILR Review ◽  
1990 ◽  
Vol 43 (2) ◽  
pp. 272-279 ◽  
Author(s):  
Kathryn J. Ready
Keyword(s):  
Common Belief ◽  
Bargaining Process ◽  
Data Set ◽  
The Common

This paper challenges the common belief that pattern bargaining largely ended in the 1980s. Applying a measure of pattern bargaining—the dispersion of log wages—to wage data drawn from the same data set that Audrey Freedman used in her widely quoted studies of this subject, the author shows that the extent of pattern bargaining was actually greater in 1983 than in 1977. The evidence suggests that managers' perceptions of changes in the bargaining process, which are the basis for Freedman's claim that pattern bargaining has eroded, are inconsistent with actual changes in wage patterns.

A driver drowsiness and distraction warning system based on raspberry Pi 3 Kit

2019 ◽  
Vol 70 (3) ◽  
pp. 184-192
Author(s):  
Toan Dao Thanh ◽  
Vo Thien Linh
Keyword(s):  
Processing System ◽  
Warning System ◽  
Raspberry Pi ◽  
Data Set ◽  
Lower Lip ◽  
Driver Drowsiness ◽  
Image Sensing ◽  
The Face ◽  
The Common ◽  
University Laboratory

In this article, a system to detect driver drowsiness and distraction based on image sensing technique is created. With a camera used to observe the face of driver, the image processing system embedded in the Raspberry Pi 3 Kit will generate a warning sound when the driver shows drowsiness based on the eye-closed state or a yawn. To detect the closed eye state, we use the ratio of the distance between the eyelids and the ratio of the distance between the upper lip and the lower lip when yawning. A trained data set to extract 68 facial features and “frontal face detectors” in Dlib are utilized to determine the eyes and mouth positions needed to carry out identification. Experimental data from the tests of the system on Vietnamese volunteers in our University laboratory show that the system can detect at realtime the common driver states of “Normal”, “Close eyes”, “Yawn” or “Distraction”

Aristotle on the Sources of the Ethical Life

2019 ◽  
Author(s):  
Sylvia Berryman
Keyword(s):  
Virtue Ethics ◽  
Human Nature ◽  
Common Belief ◽  
Ethical Life ◽  
Metaphysical Grounding ◽  
Middle Way ◽  
The Common

This work challenges the common belief that Aristotle’s virtue ethics is founded on an appeal to human nature, an appeal that is thought to be intended to provide both substantive ethical advice and justification for the demands of ethics. It is argued that it is not Aristotle’s intent, but the view is resisted that Aristotle was blind to questions of the source or justification of his ethical views. Aristotle’s views are interpreted as a ‘middle way’ between the metaphysical grounding offered by Platonists and the scepticism or subjectivist alternatives articulated by others. The commitments implicit in the nature of action figure prominently in this account: Aristotle reinterprets Socrates’ famous paradox that no one does evil willingly, taking it to mean that a commitment to pursuing the good is implicit in the very nature of action. This approach is compared to constructivism in contemporary ethics.

scholarly journals Understanding Urban Commercial Vehicle Driver Behaviors and Decision Making

2021 ◽  
pp. 036119812110035
Author(s):  
Giacomo Dalla Chiara ◽  
Klaas Fiete Krutein ◽  
Andisheh Ranjbari ◽  
Anne Goodchild
Keyword(s):  
Commercial Vehicle ◽  
Operating Time ◽  
Common Belief ◽  
Policy Makers ◽  
Factors Affecting ◽  
Urban Freight ◽  
The Road ◽  
Commercial Drivers ◽  
The Common ◽  
Printed Materials

As e-commerce and urban deliveries spike, cities grapple with managing urban freight more actively. To manage urban deliveries effectively, city planners and policy makers need to better understand driver behaviors and the challenges they experience in making deliveries. In this study, we collected data on commercial vehicle (CV) driver behaviors by performing ridealongs with various logistics carriers. Ridealongs were performed in Seattle, Washington, covering a range of vehicles (cars, vans, and trucks), goods (parcels, mail, beverages, and printed materials), and customer types (residential, office, large and small retail). Observers collected qualitative observations and quantitative data on trip and dwell times, while also tracking vehicles with global positioning system devices. The results showed that, on average, urban CVs spent 80% of their daily operating time parked. The study also found that, unlike the common belief, drivers (especially those operating heavier vehicles) parked in authorized parking locations, with only less than 5% of stops occurring in the travel lane. Dwell times associated with authorized parking locations were significantly longer than those of other parking locations, and mail and heavy goods deliveries generally had longer dwell times. We also identified three main criteria CV drivers used for choosing a parking location: avoiding unsafe maneuvers, minimizing conflicts with other users of the road, and competition with other commercial drivers. The results provide estimates for trip times, dwell times, and parking choice types, as well as insights into why those decisions are made and the factors affecting driver choices.

Dead and Gone? Reply to Jenkins

Utilitas ◽  
2013 ◽  
Vol 26 (2) ◽  
pp. 218-220
Author(s):  
KARL EKENDAHL ◽  
JENS JOHANSSON
Keyword(s):  
Recent Article ◽  
Common Belief ◽  
The Common ◽  
Epistemic Role

In a recent article, Joyce L. Jenkins challenges the common belief that desire satisfactionists are committed to the view that a person's welfare can be affected by posthumous events. Jenkins argues that desire satisfactionists can and should say that posthumous events only play an epistemic role: though such events cannot harm me, they can reveal that I have already been harmed by something else. In this response, however, we show that Jenkins's approach collapses into the view she aims to avoid.

scholarly journals Generation-making narratives and responses to diversity in Poland

2021 ◽  
pp. 026858092199852
Author(s):  
Aneta Piekut ◽  
Gill Valentine
Keyword(s):  
Cultural Diversity ◽  
Common Belief ◽  
Ordinary People ◽  
The Common ◽  
Analytical Category ◽  
Study Participants ◽  
Race And Religion ◽  
Depth Interviews

In this article, the authors move away from approaching generations as static categories and explore how ordinary people, as opposed to scholars, distinguish generations and justify their different responses to cultural diversity in terms of ethnicity, race and religion/belief. The analysis draws on 90 in-depth interviews with 30 residents in the Polish capital, Warsaw (2012–2013). Through approaching generation as an analytical category, the authors identify various differentiating narratives which the study participants employed to draw boundaries between generations, reinforcing the common belief that the youngest Poles are most accepting of diversity. Although generations are seen as the axis of difference, conditioning generation-specific responses to diversity, the accounts emerging from the interviews reveal their relational nature, as well as similarities and points of connection between their experiences.

Imaging shallow objects and heterogeneities with scattered guided waves

Geophysics ◽  
2000 ◽  
Vol 65 (1) ◽  
pp. 247-252 ◽  
Author(s):  
Gérard C. Herman ◽  
Paul A. Milligan ◽  
Robert J. Huggins ◽  
J. W. Rector
Keyword(s):  
Rayleigh Waves ◽  
Guided Waves ◽  
Guided Wave ◽  
Imaging Method ◽  
Data Set ◽  
Survey Line ◽  
Weathered Layer ◽  
First Arrival ◽  
The Common ◽  
Object Imaging

Current surface seismic reflection techniques based on the common‐midpoint (CMP) reflection stacking method cannot be readily used to image small objects in the first few meters of a weathered layer. We discuss a seismic imaging method to detect such objects; it uses the first‐arrival (guided) wave, scattered by shallow heterogeneities and converted into scattered Rayleigh waves. These guided waves and Rayleigh waves are dominant in the shallow weathered layer and therefore might be suitable for shallow object imaging. We applied this method to a field data set and found that we could certainly image meter‐size objects up to about 3 m off to the side of a survey line consisting of vertical geophones. There are indications that cross‐line horizontal geophone data could be used to identify shallow objects up to 10 m offline in the same region.

An Exploration of Accountants, Accounting Work, and Creativity

2011 ◽  
Vol 23 (1) ◽  
pp. 45-64 ◽  
Author(s):  
Stephanie M. Bryant ◽  
Dan Stone ◽  
Benson Wier
Keyword(s):  
The Self ◽  
Common Belief ◽  
Systematic Relationship ◽  
Governmental Accounting ◽  
Department Of Labor ◽  
Accounting Practice ◽  
Accounting Professionals ◽  
The Common

ABSTRACT: In two studies, we explore whether creativity is essential—or antithetical—to professional accounting work. In Study 1, archival analysis of U.S. Department of Labor data indicates that: (1) professional accounting work requires no less creativity than do three competing professions and a diverse sample of U.S. occupations, and (2) greater creativity may be required in financial than in auditing and taxation accounting work. In Study 2, a survey contrasts the self-assessed and number-of-uses creativity of governmental accounting professionals and Master’s of Accountancy (M.Acc.) students with that of M.B.A. students. Results indicate lower creativity among accountants and M.Acc. students compared with M.B.A. students, and no systematic relationship between ethics and creativity. We conclude that while creativity matters to accounting work—more to some areas of accounting practice than others—accountancy education and work may attract or reward entrants with less than desirable levels of creativity, perhaps due to the common belief that creativity is unneeded in, or even deleterious to, professional accountancy work.

scholarly journals Analyze COVID-19 CT images based on evolutionary algorithm with dynamic searching space

2021 ◽  
Author(s):  
Yunhong Gong ◽  
Yanan Sun ◽  
Dezhong Peng ◽  
Peng Chen ◽  
Zhongtai Yan ◽  
...  
Keyword(s):  
Common Sense ◽  
Expert Knowledge ◽  
State Of The Art ◽  
Data Set ◽  
The Past ◽  
Computed Tomography Images ◽  
Intensive Use ◽  
Hospital Resources ◽  
The Common ◽  
Ct Data

AbstractThe COVID-19 pandemic has caused a global alarm. With the advances in artificial intelligence, the COVID-19 testing capabilities have been greatly expanded, and hospital resources are significantly alleviated. Over the past years, computer vision researches have focused on convolutional neural networks (CNNs), which can significantly improve image analysis ability. However, CNN architectures are usually manually designed with rich expertise that is scarce in practice. Evolutionary algorithms (EAs) can automatically search for the proper CNN architectures and voluntarily optimize the related hyperparameters. The networks searched by EAs can be used to effectively process COVID-19 computed tomography images without expert knowledge and manual setup. In this paper, we propose a novel EA-based algorithm with a dynamic searching space to design the optimal CNN architectures for diagnosing COVID-19 before the pathogenic test. The experiments are performed on the COVID-CT data set against a series of state-of-the-art CNN models. The experiments demonstrate that the architecture searched by the proposed EA-based algorithm achieves the best performance yet without any preprocessing operations. Furthermore, we found through experimentation that the intensive use of batch normalization may deteriorate the performance. This contrasts with the common sense approach of manually designing CNN architectures and will help the related experts in handcrafting CNN models to achieve the best performance without any preprocessing operations

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