behavioral patterns
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2022 ◽  
Vol 20 (4) ◽  
pp. 582-589
Paulo Cesar Buttenbender ◽  
Eduardo Goncalvez de Azevedo Neto ◽  
Wesllei Felipe Heckler ◽  
Jorge Luis Victoria Barbosa

2023 ◽  
Vol 83 ◽  
L. M. R. Cantano ◽  
L. C. Luchesi ◽  
J. T. Takata ◽  
P. F. Monticelli

Abstract Behavior is a useful trait for comparative studies that provide the comprehension of phylogenetic relationships among species. Here, we present a description of two spiny-rats species’ behavioral repertoire, Clyomys laticeps and Trinomys setosus (Rodentia: Echimyidae). The affiliative and agonistic behavioral patterns were sampled during a three-year study of captive populations of wild animals. Observational data were collected in two phases under different arrangements of individuals in groups. We also compare the behavioral traits of T. setosus and C. laticeps with the known behavioral patterns of Trinomys yonenagae. We add categories to the previous descriptions of T. setosus and a standard ethogram for C. laticeps. Trinomys setosus showed a visual and vocal display we called foot-trembling, which was not described in this form and function for other species studied until now. We discuss the differences in their sociality levels and similarities and differences among behavior patterns and repertoires.

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Weiwei Yan ◽  
Wanying Deng ◽  
Xiaorui Sun ◽  
Zihao Wang

PurposeThis paper aims to explore question and answer (Q&A) participation and behavioral patterns on academic social networking sites (ASNSs) from the perspective of multiple subjects such as academic, corporate and government institutions.Design/methodology/approachFocused on the Q&A service of ASNSs, this study chooses ResearchGate (RG) as the target ASNS and collects a large-scale data set from it, involving a sample of users and a Q&A sample about academic, corporate and government institutions. First, it studies the law of Q&A participation and the distribution of the type of user according to the sample of users. Second, it compares question-asking behavior and question-answering behavior stimulated by questions among the three types of institutions based on the Q&A sample. Finally, it discusses the Q&A participation and behavioral patterns of the three types of institutions in academic Q&A exchanges with full consideration of institutional attributes, and provides some suggestions for institutions and ASNSs.FindingsThe results show that these three types of institutions generally have a low level of participation in the Q&A service of RG, and the numbers of questions and answers proposed by institutional users conform to the power-law distribution. There are differences in Q&A participation and Q&A behavioral patterns among academic, corporate and government institutions. Government and academic institutions have more users participating in the Q&A service and their users are more willing to ask questions, while corporate institutions have fewer users who participate in the Q&A service and their users are inclined to provide answers. Questions from corporate institutions attract much more attention than those from the other two types of institutions.Originality/valueThis study reveals and compares the Q&A participation and the behavioral patterns of the three types of institutions in academic Q&A, thus deepening the understanding of the attributes of institutions in the academic information exchange context. In practice, the results can help guide different institutions to use the Q&A service of ASNSs more effectively and help ASNSs to better optimize their Q&A service.

2022 ◽  
Vol 23 (4) ◽  
pp. 920-928
O. V. Filippenko

The research featured special reports from the Tomsk Department of State Security about the “anti-Soviet” protest movement of Tomsk deportees in the first months after Joseph Stalin's death. The analysis revealed how the deportees adapted to the authority demands and imitated their loyalty to the system, even when the regime positions was clearly weakened. The author analyzed the sanctions imposed on the deportees and the behavior of the local punitive officials, who received no instructions from Moscow. Most likely, the “anti-Soviet” behavior was not so much a purposeful protest as an irrational reaction to such an extraordinary event as Joseph Stalin's death. The responsive actions of the Regional Department of State Security did not follow the new course of Soviet policy but rather the behavioral patterns formed during the Stalin era: violators were identified and punished severely and demonstratively.

2022 ◽  
Vol 12 (1) ◽  
pp. 471
Sang Kuy Han ◽  
Keonwoo Kim ◽  
Yejoon Rim ◽  
Manhyung Han ◽  
Youngjeon Lee ◽  

By virtue of their upright locomotion, similar to that of humans, motion analysis of non-human primates has been widely used in order to better understand musculoskeletal biomechanics and neuroscience problems. Given the difficulty of conducting a marker-based infrared optical tracking system for the behavior analysis of primates, a 2-dimensional (D) video analysis has been applied. Distinct from a conventional marker-based optical tracking system, a depth image sensor system provides 3-D information on movement without any skin markers. The specific aim of this study was to develop a novel algorithm to analyze the behavioral patterns of non-human primates in a home cage using a depth image sensor. The behavioral patterns of nine monkeys in their home cage, including sitting, standing, and pacing, were captured using a depth image sensor. Thereafter, these were analyzed by observers’ manual assessment and the newly written automated program. We confirmed that the measurement results from the observers’ manual assessments and the automated program with depth image analysis were statistically identical.

2022 ◽  
pp. 695-710
Mahmoud Mohammad Al-Ajlouni

Security systems are often the target of cyber-criminals and professional hackers, but often they fail in hiding all traces of the attack, thereby leaving critical evidence that could lead to identifying and arresting the criminal. However, hacking skills vary from one hacker to another depending on the hacker's personal traits, behavior, and intellectual tendencies. The aim of this study is to develop a proposed descriptive model of the behavioral patterns and motives of hackers based on programmable psychological theories, modeled using object-oriented programming models. The study proposes a descriptive model of an inverse algorithm that simulates Holland's Theory of Behavioral Patterns. Findings show that this descriptive model is applicable to be produced as a code map for the human resources of an investigative nature.

2022 ◽  
Vol 52 (1) ◽  
Larissa Paula da Silva Gomides ◽  
Ana Flávia Basso Royer ◽  
Poliana Carneiro Martins ◽  
Genilson Bezerra de Carvalho ◽  
Pedro Moraes Rezende ◽  

ABSTRACT: This study evaluated the behavior and welfare conditions of laying chicks in the starter phase, fed with diets formulated with increasing levels of crude fiber (CF) and two feedstuffs with different fiber compositions. The experiment was developed at the Federal University of Goiás, in Goiânia - GO, Brazil. Three hundred Bovans White chicks were evaluated in a completely randomized design with a 2×2+1 factorial arrangement corresponding to two levels of CF in the diet (3.0 and 3.5%) and two fiber sources (wheat bran and sugarcane bagasse), plus a control treatment (maize- and soybean meal-based), totaling five treatments with six replicates of 10 birds each. Maintenance behavioral patterns and welfare were assessed at 21 and 42 days of age. There was no difference in behavior and classification by order of importance of the activities performed by the fiber-fed birds observed at 21 and 42 days, according to the Kruskal Wallis test (P>0.05). Medium and good welfare conditions were obtained with wheat bran at 3.5 and 3.0% CF, respectively, at 21 days of age. At 42 days, the use of sugarcane bagasse at the CF level of 3.5% and wheat bran at the level of 3.0%provided good behavior conditions. The use of crude fiber in the feeding of hens did not change their behavior.

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