Does the non-native Harlequin ladybird disrupt the feeding behaviour of the native two-spot ladybird?

Since its arrival in 2004, the non-native Harlequin ladybird Harmonia axyridis (Coleoptera: Coccinellidae) has rapidly spread throughout Britain, and it is now the most common coccinellid in England. There have since been concerns about the detrimental effects it may have on native coccinellids because there is a strong correlation between the arrival of H. axyridis and the decline in native species, including the two-spot ladybird, Adalia bipunctata. However, there have been few studies of the behavioural interactions between these two species, which occupy a high-niche overlap. This study investigated if the presence of H. axyridis impacts the feeding behaviour of A. bipunctata through direct competition for aphid prey. Foraging and interactive behaviour of A. bipunctata and H. axyridis were investigated within microcosms. Adalia bipuncata exhibited a similar consumption rate and time in the presence of H. axridis, yet H. axyridis consumed 3.5 times more prey items and were seven times faster compared to A. bipuncata. Observations showed that H. axyridis does not directly disrupt the feeding behaviour of A. bipunctata, but rather indirectly excludes the native species through being a superior competitor for prey items. Results indicate that the decline in native coccinellid species may be a consequence of H. axyridis competitive advantage, but that the concept of coexistence should not be dismissed.

The role of proficiency and pair formation method in language-related episodes: A study of young CLIL learners’ interaction

Little is known about young CLIL (Content and Language Integrated Learning) learners’ attention to formal aspects of the target language when engaged in collaborative task-based interaction. Previous research on language-related episodes (LREs) with other populations indicates that certain variables (e.g. target language proficiency or pair formation method) may play a role in the production of LREs. This study investigates the amount, types and resolution of LREs produced by primary education CLIL learners in a collaborative picture-ordering + story-telling task depending on two variables – L2 English proficiency (grade 5 dyads vs. grade 6 dyads) and pairing method (proficiency-matched dyads vs. student self-selected dyads). Findings indicate that young CLIL learners’ interactive behaviour in L2 English, at least in terms of LRE production, does not differ as a consequence of target language proficiency, whereas pair formation method exerts some influence, self-selected pairs producing and resolving more meaning-based LREs. No differences were found for form-focused LREs.

Oestrus Analysis of Sows Based on Bionic Boars and Machine Vision Technology

This study proposes a method and device for the intelligent mobile monitoring of oestrus on a sow farm, applied in the field of sow production. A bionic boar model that imitates the sounds, smells, and touch of real boars was built to detect the oestrus of sows after weaning. Machine vision technology was used to identify the interactive behaviour between empty sows and bionic boars and to establish deep belief network (DBN), sparse autoencoder (SAE), and support vector machine (SVM) models, and the resulting recognition accuracy rates were 96.12%, 98.25%, and 90.00%, respectively. The interaction times and frequencies between the sow and the bionic boar and the static behaviours of both ears during heat were further analysed. The results show that there is a strong correlation between the duration of contact between the oestrus sow and the bionic boar and the static behaviours of both ears. The average contact duration between the sows in oestrus and the bionic boars was 29.7 s/3 min, and the average duration in which the ears of the oestrus sows remained static was 41.3 s/3 min. The interactions between the sow and the bionic boar were used as the basis for judging the sow’s oestrus states. In contrast with the methods of other studies, the proposed innovative design for recyclable bionic boars can be used to check emotions, and machine vision technology can be used to quickly identify oestrus behaviours. This approach can more accurately obtain the oestrus duration of a sow and provide a scientific reference for a sow’s conception time.

What do ‘peripersonal space measures’ really reflect? The action field perspective

The magnitude of a large number of behavioural and neurophysiological measures depends on the proximity between an individual and environmental objects. This relationship has led to the concept of peripersonal space (PPS). Here we argue that the proximity-dependence of such PPS measures could arise as a result of calculating the relevance of actions that aim to create or avoid contact with objects in the world. This perspective, supported by the interactive behaviour framework of systems-level brain function, allows us to describe PPS as a set of continuous fields reflecting contact-related action relevance. The action relevance perspective gets rid of incorrect notions about PPS, such as it being a single in-or-out zone that mainly reflects the spatial distance between objects and the body. This reconceptualization incorporates PPS into mainstream theories of action selection and behaviour. Furthermore, the formal comparison of this framework to others shows that contact-action value allows for a more complete description of PPS measures than proximity coding, impact prediction, and multisensory integration do, while simultaneously explaining the relationship between those concepts and PPS measures.

Social contagion of affiliation in female macaques

Social contagion of non-interactive behaviour is widespread among animals including humans. It is thought to facilitate behavioural synchronization and consequently group cohesion, coordination and opportunities for social learning. Contagion of interactive behaviour—particularly affiliation—has received much less attention. Here, we investigated in female rhesus macaques ( Macaca mulatta ) the effect of observing group members groom on a subject's subsequent grooming behaviour and the potential modulation of contagion by relationship quality and social status. We recorded behaviour after subjects witnessed a grooming event and compared it to behaviour in a control condition with the same individuals in proximity but in the absence of a stimulus grooming event. Compared to the control condition, after observing others groom, females engaged in a grooming interaction sooner, and were more likely to be the initiator and to take on the active groomer role. Dominance rank of the focal individual and more weakly also of the stimulus individuals affected the latency to the next grooming interaction of the focal subject. Latency to the next grooming interaction decreased with increasing rank of the subject potentially reflecting lower social constraints faced by high ranking individuals in this highly despotic species. Relationship quality between the subject and the stimulus individuals had no effect on latency to grooming. Collectively, our findings provide evidence for visual contagion of affiliation in rhesus macaques. Future studies should explore the systematic variation in contagion of interactive behaviour in relation to a gradient of social tolerance.

Examining the influence of user-generated content on the fashion consumer online experience

PurposeThe purpose of this study is to analyse online consumers' experiential responses towards visual user-generated content in social commerce fashion online shopping environments. The study develops and tests a UGC OCE framework incorporating aesthetic and relational experiential paths in the OCE.Design/methodology/approachThis paper adopts a quantitative approach to examine fashion consumers experiential responses to UGC content. The sample comprised 555 respondents recruited via a consumer panel. SEM analysis was employed to analyse and test the framework model.FindingsThe findings illustrate that consumers are initially stimulated by an aesthetic experience, which then triggers a combination of relational, emotional and interactive experiences in fashion social commerce. The study extends the S-O-R framework by integrating it to the experiential “path” that indicates the series of experiences consumers encounter. Using S-O-R, the study presents the consumers' online experiential responses to viewing visual UGC, revealing that there are five experiential responses, all of which have an influence on online consumer behaviour. Responses towards visual UGC include visual, relational, emotional, cognitive engagement and interactive engagement, which were all identified to influence purchase intention.Originality/valueThis study is original in finding that, in the context of online fashion shopping, aesthetics drive relational experiences, and relational experiences drive flow and interactive behaviour and also purchase intention. Aesthetic experiences and positive emotions are powerful drivers of purchase intention and drive connectedness, flow and interactive behaviour. This study extends the literature by extending the frameworks in OCE and CE into the fashion UGC context.

New Service Virtualisation Approach to Generate the Categorical Fields in the Service Response

Software services communicate with different requisite services over the computer network to accomplish their tasks. The requisite services may not be readily available to test a specific service. Thus, service virtualisation has been proposed as an industry solution to ensure availability of the interactive behaviour of the requisite services. However, the existing techniques of virtualisation cannot satisfy the required accuracy or time constraints to keep up with the competitive business world. These constraints sacrifices quality and testing coverage, thereby delaying the delivery of software. We proposed a novel technique to improve the accuracy of the existing service virtualisation solutions without sacrificing time. This method generates the service response and predicts categorical fields in virtualised responses, extending existing research with lower complexity and higher accuracy. The proposed service virtualisation approach uses conditional entropy to identify the fields that can be used to drive the value of each categorical field based on the historical messages. Then, it uses joint probability distribution to find the best values for the categorical fields. The experimental evaluation illustrates that the proposed approach can generate responses with the required fields and accurate values for categorical fields over four data sets with stateful nature.