Effects of food, kinship, and density on the longevity of spiderlings

Cannibalism is a behavioral characteristic found in a wide variety of animal groups. Although the rates of cannibalism can vary from one group to another, studies indicate that the main factors contributing to an increase in the frequency of such behavior are the availability of food, population density, the behavior and availability of victims, and environmental stress. We carried out different laboratory experiments to assess whether different factors such as the presence or absence of food among siblings and non-siblings, and at different densities among conspecific and heterospecific individuals, affect longevity of recently emerged Brazilian brown recluse (Loxosceles intermedia Mello-Leitão, 1934) and Chilean recluse (Loxosceles laeta (Nicolet, 1849)) spiderlings during periods of starvation. The results revealed that the survivorship of L. laeta during starvation was significantly higher than that of L. intermedia and that the addition of conspecific individuals increased survival rates by 1.5- and 1.6-fold, respectively. The tolerance of conspecifics differed between the two species, and generally, cannibalism was not observed, probably due to the risk of predation and limited consumption by weakened spiders, which coincided with the continued availability of endogenous vitelline reserves, thus indicating that the use of these spiderlings as a food resource may act to regulate starvation in more resistant spiders. The greater longevity and conspecific tolerance of L. laeta may be important factors contributing to the establishment of large populations of this spider in restricted areas, whereas for L. intermedia, hunger probably functions as a trigger for dispersal.

Uniqueness of gait kinematics in a cohort study

Gait, the style of human walking, has been studied as a behavioral characteristic of an individual. Several studies have utilized gait to identify individuals with the aid of machine learning and computer vision techniques. However, there is a lack of studies on the nature of gait, such as the identification power or the uniqueness. This study aims to quantify the uniqueness of gait in a cohort. Three-dimensional full-body joint kinematics were obtained during normal walking trials from 488 subjects using a motion capture system. The joint angles of the gait cycle were converted into gait vectors. Four gait vectors were obtained from each subject, and all the gait vectors were pooled together. Two gait vectors were randomly selected from the pool and tested if they could be accurately classified if they were from the same person or not. The gait from the cohort was classified with an accuracy of 99.71% using the support vector machine with a radial basis function kernel as a classifier. Gait of a person is as unique as his/her facial motion and finger impedance, but not as unique as fingerprints.

The Evaluation of Online Education Course Performance Using Decision Tree Mining Algorithm

With the continuous development of “Internet + Education”, online learning has become a hot topic of concern. Decision tree is an important technique for solving classification problems from a set of random and unordered data sets. Decision tree is not only an effective method to generate classifier from data set, but also an active research field in data mining technology. The decision tree mining algorithm can classify the data, grasp the teaching process of the teacher, and analyze the overall performance of the students, so as to realize the dynamic management of the educational administration and help the educational administration personnel to make the right decision, with more reasonable allocation of resources. This paper evaluates students’ academic performance based on the learning behavior data of online learning, so as to intervene in students’ learning in advance, which is the key problem that needs to be solved at present. Taking students’ learning attitude, completion of homework, and attendance as factors, the paper uses decision tree technology to analyze the factors affecting students’ performance, and evaluates students’ performance. Firstly, this paper collects the high-dimensional behavioral characteristic data of students’ online learning and conducts correlation analysis after preprocessing the behavioral characteristic data. Then, the decision tree C4.5 algorithm is used to construct a performance evaluation model. Students’ performance is evaluated by the model, and the evaluation accuracy is about 88% compared with actual performance. Finally, through the model analysis, it is concluded that the video task point completion is the most influential in students’ achievement, followed by chapter test completion and chapter test average score, and the course interaction amount and homework average score are the least influential in students’ achievement, which has a practical reference value for effectively serving online learning and teachers’ teaching.

The Role of Leadership and Leaders’ Behavioral Characteristic on Employees: A Study of Petronas Berhad

Petronas Chemical Group is one of the largest and most popular companies in Southern Asia primarily involved in marketing, manufacturing, and selling diversified ranges of chemical products. The main purpose of this research paper is to determine the role of leaderships and leaders’ behavioral characteristic on employees of Petronas Chemical Group. This study focuses on types of leadership its leaders assert in the working environment to sustain the development of their employees’ performance. This study may strengthen the understanding of the role of leadership or leadership style that will chip in employee job performance.

Association of Diet, Quality of Life and Premenstrual Syndrome; A Review

Premenstrual syndrome is a disorder experienced by the females of reproductive ages. The etiology of this common condition is unknown. The presentation of symptoms is highly variable all over the world. The variability in the presentation of symptoms could be linked to social and cultural effects of environment. There can be psychological, physical or behavioral characteristic manifestations linked to premenstrual syndrome. The presentation of premenstrual syndrome can effect a female’s life. Household chores, work place tasks and interpersonal relationships are effected gravely. Dietary intake of the individuals is associated with the symptoms of premenstrual syndrome symptoms. Intake of diet loaded with whole grains, fish, fruits, vegetables, micronutrients like vitamin B1, D and E have shown to have protective effects against the development and severity of premenstrual syndrome symptoms. Intake of harmful food items like refined sugar, fast food, sweetened drinks, alcohol and chocolates are associated with increase in severity of the condition.

Νεολαία, αριστερή ψήφος και ριζοσπαστισμός τη δεύτερη δεκαετία του 2000

Το άρθρο αυτό έχει ως στόχο να απαντήσει στο ερώτημα αν η σύγχρονη νεολαία στην Ελλάδα, μετά την ή/και λόγω της κρίσης, μπορεί να χαρακτηριστεί ως ριζοσπαστική, βάσει του είδους της πολιτικής κοσμοαντίληψης και συμπεριφοράς που εκδηλώθηκαν από σημαντικό κομμάτι της. Κι εάν, συνεπώς, θα μπορούσε να προσληφθεί ως δυνητική κινητήρια δύναμη κοινωνικών κατά το πρότυπο της νεολαίας της Μεταπολίτευσης. Από μια άποψη αποτελεί συνέχεια προηγούμενου άρθρου (Παντελίδου Μαλούτα, 2015), όπου έγινε προσπάθεια να καταδειχθεί τάση «επιστροφής» της νεολαίας στην πολιτική ήδη από το 2008, τάση η οποία εντάθηκε και διευρύνθηκε στην κρίση. Επεκτείνοντας την προβληματική εκείνη, και θεωρώντας ως δεδομένα τα στοιχεία που καταδεικνύουν τη στροφή των νέων προς την Αριστερά, και την «επιστροφή» τους στην πολιτική αρχικά μέσω δυναμικών μορφών συμμετοχής, θα επιδιωχθεί εδώ να προσεγγιστεί με τη βοήθεια δεδομένων ποιοτικής έρευνας, το αρχικό ερώτημα: Αποτελεί o ριζοσπαστισμός σήμερα καθοριστικό ιδεολογικό και συμπεριφορικό χαρακτηριστικό της νεολαίας; Λέξεις κλειδιά: Νεολαία, πολιτική δράση, ριζοσπαστισμός, Aριστερά, ψήφος των νέων AbstractThis article aims at answering whether today’s youth in Greece could be defined as radical, based on the kind of political behavior and worldview manifested by a significant part of young people. And, hence, whether it could be perceived as a potential driving force of social change, according to the example of the youth of “Metapolitefsi”. In a way, this article draws from and further continues a previous article (Παντελίδου-Μαλούτα, 2015), which sought to illustrate Greek youth’s tendency to “return” to politics; a development already evident since 2008 that intensified during the crisis. Delving deeper into this rationale and taking into account data which attest to the youth’s turn towards the Left and return to politics, initially through dynamic modes of participation, here, we will employ qualitative research data in an attempt to approach the original question: Does radicalism constitute a defining ideological and behavioral characteristic of today’s youth? Key wordsYouth politics, voting behavior, radicalism, political attitudes, the Left

Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning

Generating diverse behaviors for game artificial intelligence (Game AI) has been long recognized as a challenging task in the game industry. Designing a Game AI with a satisfying behavioral characteristic (style) heavily depends on the domain knowledge and is hard to achieve manually. Deep reinforcement learning sheds light on advancing the automatic Game AI design. However, most of them focus on creating a superhuman Game AI, ignoring the importance of behavioral diversity in games. To bridge the gap, we introduce a new framework, named EMOGI, which can automatically generate desirable styles with almost no domain knowledge. More importantly, EMOGI succeeds in creating a range of diverse styles, providing behavior-diverse Game AIs. Evaluations on the Atari and real commercial games indicate that, compared to existing algorithms, EMOGI performs better in generating diverse behaviors and significantly improves the efficiency of Game AI design.

An Informative and Comprehensive Behavioral Characteristics Analysis Methodology of Android Application for Data Security in Brain-Machine Interfacing

Recently, brain-machine interfacing is very popular that link humans and artificial devices through brain signals which lead to corresponding mobile application as supplementary. The Android platform has developed rapidly because of its good user experience and openness. Meanwhile, these characteristics of this platform, which cause the amazing pace of Android malware, pose a great threat to this platform and data correction during signal transmission of brain-machine interfacing. Many previous works employ various behavioral characteristics to analyze Android application (or app) and detect Android malware to protect signal data secure. However, with the development of Android app, category of Android app tends to be diverse, and the Android malware behavior tends to be complex. This situation makes existing Android malware detections complicated and inefficient. In this paper, we propose a broad analysis, gathering as many behavior characteristics of an app as possible and compare these behavior characteristics in several metrics. First, we extract static and dynamic behavioral characteristic from Android app in an automatic manner. Second, we explain the decision we made in each kind of behavioral characteristic we choose for Android app analysis and Android malware detection. Third, we design a detailed experiment, which compare the efficiency of each kind of behavior characteristic in different aspects. The results of experiment also show Android malware detection performance of these behavior characteristics combine with well-known machine learning algorithms.

Social Correspondence as a Manifestation Form of Civic Consciousness (the Case of Pionerskaya Pravda Newspaper, 1925–1929)

The paper analyzes the Soviet experience of forming a cultural model of civic consciousness in mind and behavior of young people through the media in the case of Pionerskaya Pravda newspaper in 1925–1929. Pionerskaya Pravda is treated as a subject of constructing a Soviet model of civic consciousness and as a specialized ideology­oriented communication channel with children’s audience. The paper examines the texts of the questions from the newspaper readers basing on the typology proposed by the paper authors and reveals the primary approved manifestation forms of civic consciousness among children. It concludes that civic consciousness in the newspaper materials is mainly interpreted as a behavioral characteristic of personality.