Male condition and group heterogeneity predict extra-group paternity in a Neotropical bat

2020 ◽  
Vol 74 (11) ◽  
Author(s):  
Danielle M. Adams ◽  
Gerald S. Wilkinson
Andrologia ◽  
2021 ◽  
Author(s):  
Qi‐guan Jin ◽  
Wen‐ting Shi ◽  
Yu‐chen Wang ◽  
Shu‐yan Li ◽  
Chen Xue ◽  
...  
Keyword(s):  

2016 ◽  
Vol 17 (3) ◽  
pp. 480-503 ◽  
Author(s):  
David Cutts ◽  
Paul Widdop

Place is a key driver in the formation and maintenance of cultural lifestyles. Yet, place remains largely ignored in scholarly studies of cultural omnivorousness. After establishing whether there are different modes of omnivorousness as well as distinguishing between other cultural lifestyles, this article then takes a first step in readdressing this anomaly by examining whether clustering exists at the regional level in England. Using a methodologically innovative approach to simultaneously capture latent class typologies and between-group heterogeneity at the area scale, our findings illustrate how place is vital to consumption habits, particularly to voracious omnivores. We argue that the underlying mechanism behind these cultural patterns at the area level is contextual in nature, and in the case of voracious omnivores, primarily due to the supply of cultural items and the importance of likeminded individuals in active networks.


2005 ◽  
Vol 83 (10) ◽  
pp. 1306-1313 ◽  
Author(s):  
P Galeotti ◽  
R Sacchi ◽  
M Fasola ◽  
D Pellitteri Rosa ◽  
M Marchesi ◽  
...  

Like other terrestrial tortoises, the courtship behaviour of Hermann's tortoises (Testudo hermanni Gmelin, 1789) is based on a multiple signalling system that involves visual, olfactory, tactile, and acoustic signals. In this study, we analysed relationships between male morphology, hematological profile, courtship intensity, vocalizations, and mounting success in Hermann's tortoises breeding in semi-natural enclosures to investigate the effects of male condition on signals exhibited during courtship and on their mounting success. Results showed that mounting success of Hermann's tortoise males was positively affected by the number of sexual interactions/h, number of bites given to the female during interactions, and by call rate and frequency-modulation range. Call rate, frequency-modulation range, and number of sexual interaction/h increased with hematocrit value, while number of bites given to females decreased with leukocyte concentration. In conclusion, courtship signals exhibited by Hermann's tortoise males, including vocalizations, reliably reveal different components of male condition, and females may use these multiple traits to choose high-quality partners. This is the first study documenting the condition-dependent nature of tortoise courting signals and their effect on male mounting success.


2021 ◽  
Author(s):  
Eleanor Bath ◽  
Daisy Buzzoni ◽  
Toby Ralph ◽  
Stuart Wigby ◽  
Irem Sepil
Keyword(s):  

2016 ◽  
Vol 6 (1) ◽  
pp. 46 ◽  
Author(s):  
Badieah Badieah ◽  
Rachmat Gernowo ◽  
Bayu Surarso

In order to improve academic quality in higher education, students’ performance evaluation is becoming important. To prevent increasing failure rate in the course, we need a system that is capable of predicting student’s performance in the end of the course. The research used several factors that are considered to affect students' performance on Problem Based Learning (PBL), such as students’ demography, students’ prior knowledge and group heterogeneity.  The method used in the study was Artificial Neural Network (ANN) with backpropagation training algorithm. Total 8 neurons were used as inputs for ANN which were obtained from gender variable (2 neurons), age variable (1 neuron), students’ average knowledge variable (1 neuron), students’ average skill variable (1 neuron) and group heterogeneity variable (3 neurons). Several different ANN architecture were tested in the study using 2, 7 and 12 hidden neurons respectively. Each architecture was trained using various different training parameters in order to find the best ANN architecture. Dataset used  in the research were obtained from Academic Information System in Faculty of Dentistry Unissula which contained Adult and Elderly Diseases Course’s participants from year 2009 to 2013. The ANN output were numeric values which represented students’ performance in Adult and Elderly Diseases Course. The output of this study is a system that is able to predict the student performance in block course. The result shows that using 7 hidden neurons in the network combining with 0.5 ,0.1 and  9000 for learning rate, momentum and epoch respectively, were the best ANN architechture and parameters in the study. The MSE obtained from validation test was 0,011926 with correlation coefficient (R) 0,796879. The prediction system are expected to help faculty and academic evaluation team to conduct actions to improve student’s academic performance and prevent them from failure in the course. 


1982 ◽  
Vol 50 (1) ◽  
pp. 171-174 ◽  
Author(s):  
Michael G. Aamodt ◽  
Wilson W. Kimbrough

Subjects were placed into groups on the basis of either trait homogeneity or heterogeneity with the other group members and were given a group task to complete. The results indicated group answers of superior quality when the group was composed of heterogeneous individuals rather than homogeneous individuals.


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