Behavioral Research Research Articles

Commentary: Best practices for performing olfactory behavioral assays on aquatic animals: A guide for comparative physiologists

As more physiologists start to incorporate animal behavior into their experiments, especially in the olfactory behavior research field, some considerations are often overlooked, partly due to the inherited way that physiological experiments are traditionally designed and performed. Here we highlight some of these subtle but important considerations and make a case for why these might affect the results collected from behavioral assays. Our aim is to provide useful suggestions for increased standardization of methods so they can be more easily replicated among different experiments and laboratories. We have focused on areas that are less likely to be mentioned in the materials and methods section of a manuscript such as starvation, preliminary experiments, appropriate sample sizes and considerations when choosing an odorant for an assay. Additionally, we are strongly cautioning against the use of alarm cue to generate behavioral responses due to its highly unstable chemical properties/potency. Instead, we suggest using pure chemicals (made up of one known molecule) such as amino acids, bile acids, or polyamines that are commercially available and easier to make up in known concentrations. Lastly, we strongly suggest using environmentally relevant concentrations of these odorants. We believe these guidelines will help standardize these assays and improve replication of experiments within and between laboratories.

The forgotten prisoners: diet and behaviour research in carceral systems

The forgotten prisoners: diet and behaviour research in carceral systems

How do young-oriented values facilitate conspicuous consumption travel behaviour through information searching and content generation?

PurposeThis study explores how the effects of youth-oriented values influence the behavioural attitudes towards online conspicuous activities during travel, leading to their further conspicuous consumption travel behaviour.Design/methodology/approachThis study applied a mixed-methods approach. Semi-structured interviews were conducted with 20 young tourists to extract the youth-oriented value measurement scale. A systematic survey was conducted in a renovated heritage site in China. PLS-SEM analysis was performed on 322 responses to test the proposed hypotheses.FindingsThe results of semi-structured interviews supplement seven new items and form a measurement scale of youth-oriented values with 16 items in three dimensions (self-identification, peer-identification and eagerness to change). The results of PLS-SEM analysis reveal that all three youth-oriented values significantly influence attitudes towards information searching and content generation, and these two behavioural attitudes are positively related to continuous conspicuous consumption travel. The openness trait moderates the relationship between self-identification and content generation.Originality/valueThe study contributes to youth tourism research in conspicuous consumption travel behaviour. It provides insights to tourism operators to formulate strategies to develop the young tourist market in a cultural heritage tourism context.

Long‐term effects of tagging fishes with electronic tracking devices

AbstractTagging fishes with internal or external electronic tracking devices (acoustic, radio, satellite, or archival tags) is invaluable to behavioural, ecological, and welfare research, but may have adverse effects on the animals studied. While short‐term responses to tagging (e.g., days to weeks) have often been investigated, less information is available on longer‐term impacts (e.g., months to years) and the potential chronic effects of tagging on basic biological needs such as foraging and reproduction. Here, we synthesize existing knowledge from peer‐reviewed acoustic, radio, satellite, and archival tagging articles (n = 149) and anecdotal accounts (n = 72) from 36 researchers to assess the effects of tagging over prolonged periods. We identified a dearth of research that has specifically measured or quantified the impacts of tagging over a period longer than a few weeks or months (e.g., median experimental study duration = 33 days; n = 120 articles). Nevertheless, there was limited evidence to support a net negative long‐term impact from the implantation or attachment of electronic devices. Considerations and future research directions are discussed with the goal of generating guidance to the research community and minimizing potentially detrimental impacts to study animals. Given the global application and relevance of electronic tagging research to inform conservation and management of fishes, it is imperative for scientists to continue evaluating how tagging procedures affect animal welfare, fate, and the interpretation of tracking data.

Embodied cognition and L2 sentence comprehension: an eye-tracking study of motor representations.

Evidence from neuroscience and behavioral research has indicated that language meaning is grounded in our motor-perceptual experiences of the world. However, the question of whether motor embodiment occurs at the sentence level in L2 (second language) comprehension has been raised. Furthermore, existing studies on motor embodiment in L2 have primarily focused on the lexical and phrasal levels, often providing conflicting and indeterminate results. Therefore, to address this gap, the present eye-tracking study aimed to explore the embodied mental representations formed during the reading comprehension of L2 action sentences. Specifically, it sought to identify the types of motor representations formed during L2 action sentence comprehension and the extent to which these representations are motor embodied. A total of 56 advanced L2 learners participated in a Sentence-Picture Verification Task, during which their response times (RTs) and eye movements were recorded. Each sentence-picture pair depicted an action that either matched or mismatched the action implied by the sentence. Data analysis focused on areas of interest around the body effectors. RTs in the mismatch condition indicated an impeding effect. Furthermore, fixations on the body effector executing an action were longer in the mismatch condition, especially in late eye-movement measures.

Why might animals remember? A functional framework for episodic memory research in comparative psychology.

One of Clayton's major contributions to our understanding of animal minds has been her work on episodic-like memory. A central reason for the success of this work was its focus on ecological validity: rather than looking for episodic memory for arbitrary stimuli in artificial contexts, focussing on contexts in which episodic memory would serve a biological function such as food caching. This review aims to deepen this insight by surveying the numerous functions that have been proposed for episodic memory, articulating a philosophically grounded framework for understanding what exactly functions are, and drawing on these to make suggestions for future directions in the comparative cognitive psychology of episodic memory. Our review suggests four key insights. First, episodic memory may have more than one function and may have different functions in different species. Second, cross-disciplinary work is key to developing a functional account of episodic memory. Third, there is scope for further theoretical elaboration of proposals relating episodic memory to food caching and, in particular, future-oriented cognition. Finally, learning-related functions suggested by AI (artificial intelligence)-based models are a fruitful avenue for future behavioural research.

Psychological Contracts: Changing Relational Levels, a Dynamic Model for a Changing Environment

This paper examines the issue of change in the relational level of employer-based psychological contracts. Based on prior research in Organizational Citizenship Behavior (OCB), Social Exchange Theory, and the Norm of Reciprocity, a dynamic model is developed to explain how contract-level changes take place within the relationship. The model also identifies subsequent employee attitudes and behaviors and offers two new relational modalities, “at risk” and “mercenary,” to explicate relational conditions that had not previously been recognized. We conclude by examining the various issues surrounding employee-employer relations and their importance to firm performance and job satisfaction.

Does biasedness starts with HR? - Analysis and outcomes and suggestions for transparent practices

HR research has shown that HR practitioners are influenced by different biases in their decision making. But do they know they are biased? This study looks at blind spots. These findings contribute to behavioural research in HR and practical tips to address workplace bias, whether deliberate or not Recognising and addressing biases is key to a fair and inclusive work environment across the globe whether international, national or local to identify common biases and their impact on the organisation and employees as well as ways to mitigate the unfair outcome.Cultural stereotypes, personal biases and institutionalised practices that unintentionally favour some groups over others are the main sources of HR bias. Gender, race, age and socio-economic status can for example determine who gets hired, evaluated for performance or promoted by employers. Without diversity considerations the result is uniform teams that stifle creativity as marginalisation excludes certain perspectives from consideration through exclusionary means.The impact of HR bias goes beyond individual employees to the organisation as a whole. Biased HR practices can erode trust in management, reduce employee engagement and increase turnover rates. This in turn can harm the organisation’s reputation making it less attractive to top talent and potentially lead to legal challenges. Biased decision making can also result in suboptimal talent management where the most qualified candidates are overlooked and the organisation’s overall performance is compromised.To address HR bias you need a 3 prong approach, bias awareness training, standardised and transparent HR processes and a culture of inclusion. Organisations need to actively work to identify and mitigate biases in their HR practices to be fair, equitable and utilise human capital optimally.

Associations of childhood household dysfunction and healthy lifestyle with depressive symptoms in adolescents

ObjectiveLimited understanding exists regarding the cumulative impact of childhood household dysfunction (CHD) on adolescent depressive symptoms in developing countries, as well as the role of lifestyles in this association. This study aims to explore the associations of individual and cumulative CHD indicators with depressive symptoms among Chinese adolescents. Additionally, we investigate potential interactions and joint associations of CHD and lifestyles on depressive symptoms. MethodsIn the second phase of the Longitudinal Study of Adolescents’ Mental and Behavioral Well-being Research, data on depressive symptoms, CHD indicators, lifestyle factors, and other covariates were collected from 3106 students (mean [SD] age, 15.16 [1.52] years). Linear and logistic mixed-effects models were employed, with both stratified and joint analyses conducted. ResultsExcept for parental death, each CHD indicator was associated with an increased risk of depressive symptoms. The accumulation of CHD indicators exhibited a positive, graded association with depressive symptoms scores (β = 3.22, 95% CI: 2.48 to 3.97 for one CHD indicator; β = 5.45, 95% CI: 4.41 to 6.49 for two or more CHD indicators, all P < 0.01). A significant interaction was found between the number of CHD indicators and the healthy lifestyle score (interaction β = −0.40, 95% CI: −0.78 to −0.03, P < 0.05), indicating that healthy lifestyles may mitigate the risk of depressive symptoms in individuals experiencing CHD. For example, the OR for having depressive symptoms among adolescents with favourable lifestyles compared with those with unfavourable lifestyles was 0.21 (95% CI: 0.10 to 0.45, P < 0.01) among those experiencing CHD. Moreover, adolescents with two or more CHD indicators and unfavourable lifestyles faced the highest risk of having depressive symptoms (OR = 8.03, 95% CI: 4.83 to 13.34, P < 0.01) compared with those with no CHD indicator and favourable lifestyles. ConclusionsThese findings underscore the importance of promoting comprehensive healthy lifestyles and reducing CHD exposure for the prevention of depressive symptoms in adolescents.

Development of a Marmoset Apparatus for Automated Pulling (MarmoAAP) to Study Cooperative Behaviors.

In recent years, the field of neuroscience has increasingly recognized the importance of studying animal behaviors in naturalistic environments to gain deeper insights into ethologically relevant behavioral processes and neural mechanisms. The common marmoset (Callithrix jacchus), due to its small size, prosocial nature, and genetic proximity to humans, has emerged as a pivotal model toward this effort. However, traditional research methodologies often fail to fully capture the nuances of marmoset social interactions and cooperative behaviors. To address this critical gap, we developed the Marmoset Apparatus for Automated Pulling (MarmoAAP), a novel behavioral apparatus designed for studying cooperative behaviors in common marmosets. MarmoAAP addresses the limitations of traditional behavioral research methods by enabling high-throughput, detailed behavior outputs that can be integrated with video and audio recordings, allowing for more nuanced and comprehensive analyses even in a naturalistic setting. We also highlight the flexibility of MarmoAAP in task parameter manipulation which accommodates a wide range of behaviors and individual animal capabilities. Furthermore, MarmoAAP provides a platform to perform investigations of neural activity underlying naturalistic social behaviors. MarmoAAP is a versatile and robust tool for advancing our understanding of primate behavior and related cognitive processes. This new apparatus bridges the gap between ethologically relevant animal behavior studies and neural investigations, paving the way for future research in cognitive and social neuroscience using marmosets as a model organism.

The Bayesian reservoir model of psychological regulation.

Social and behavioral scientists are increasingly interested the dynamics of the processes they study. Despite the wide array of processes studied, a fairly narrow set of models are applied to characterize dynamics within these processes. For social and behavioral research to take the next step in modeling dynamics, a wider variety of models need to be considered. The reservoir model is one model of psychological regulation that helps expand the models available (Deboeck & Bergeman, 2013). The present article implements the Bayesian reservoir model for both single time series and multilevel data. Simulation 1 compares the performance of the original version of the reservoir model fit using structural equation modeling (Deboeck & Bergeman, 2013) to the proposed Bayesian estimation approach. Simulation 2 expands this to a multilevel data scenario and compares this to the single-level version. The Bayesian estimation approach performs substantially better than the original estimation approach and produces low-bias estimates even with time series as short as 25 observations. Combining Bayesian estimation with a multilevel modeling approach allows for relatively unbiased estimation with sample sizes as small as 15 individuals and/or with time series as short as 15 observations. Finally, a substantive example is presented that applies the Bayesian reservoir model to perceived stress, examining how the model parameters relate to psychological variables commonly expected to relate to resilience. The current expansion of the reservoir model demonstrates the benefits of leveraging the combined strengths of Bayesian estimation and multilevel modeling, with new dynamic models that have been tailored to match the process of psychological regulation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A novel biomechanical model of the mouse forelimb predicts muscle activity in optimal control simulations of reaching movements.

Mice are key model organisms in genetics, neuroscience and motor systems physiology. Fine motor control tasks performed by mice have become widely used in assaying neural and biophysical motor system mechanisms, including lever or joystick manipulation, and reach-to-grasp tasks (Becker et al., 2019; Bollu et al., 2019; Conner at al., 2021). Although fine motor tasks provide useful insights into behaviors which require complex multi-joint motor control, there is no previously developed physiological biomechanical model of the adult mouse forelimb available for estimating kinematics (including joint angles, joint velocities, fiber lengths and fiber velocities) nor muscle activity or kinetics (including forces and moments) during these behaviors. Here we have developed a musculoskeletal model based on high-resolution imaging and reconstruction of the mouse forelimb that includes muscles spanning the neck, trunk, shoulder, and limbs using anatomical data. Physics-based optimal control simulations of the forelimb model were used to estimate in vivo muscle activity present when constrained to the tracked kinematics during mouse reaching movements. The activity of a subset of muscles was recorded via electromyography and used as the ground truth to assess the accuracy of the muscle patterning in simulation. We found that the synthesized muscle patterning in the forelimb model had a strong resemblance to empirical muscle patterning, suggesting that our model has utility in providing a realistic set of estimated muscle excitations over time when provided with a kinematic template. The strength of the resemblance between empirical muscle activity and optimal control predictions increases as mice performance improves throughout learning of the reaching task. Our computational tools are available as open-source in the OpenSim physics and modeling platform (Seth et al., 2018). Our model can enhance research into limb control across broad research topics and can inform analyses of motor learning, muscle synergies, neural patterning, and behavioral research that would otherwise be inaccessible.

A Qualitative Assessment of Reasons for Living and Dying in the Context of Feeling Trapped Among Adults in the United Kingdom

Objective Contemporary approaches to suicide assessment and treatment incorporate reasons for living (RFL) and reasons for dying (RFD). This study qualitatively explored individuals’ self-described RFL and RFD in the context of suicidal thinking and behaviors. Method Within a community United Kingdom (UK) sample, adults (N = 331, aged 16+) responded to eight open-ended questions probing their experiences of suicide, defeat, and entrapment. Utilizing these data, which were collected from a larger online survey examining risk and protective factors for suicidal behaviors, this study explored RFL and RFD within these narratives. After the research team established an initial code book, RFL and RFD codes were subsequently analyzed through inductive and deductive thematic analyses. Results The present study identified five complimentary RFD-RFL themes: (1) Hopelessness-Hopefulness, (2) Stress of Responsibilities-Duty to Responsibilities, (3) Social Disconnection-Social Connection, (4) Death as Sin-Desire for an Afterlife, and (5) Temporary Escapes as Coping-Entrapment (i.e., a lack of escape). Three subthemes within the RFD theme Entrapment were General/Unspecified, By Feelings, and Within Self. Conclusions Identified themes reflect the existing quantitative RFL and RFD literature. The identified RFL and RFD themes are discussed with reference to their clinical applications in advancing suicide-specific assessments and interventions. We propose a dimensional framework for RFD and RFL which informs future suicidal behaviors research and practice.

Large-scale molecular dynamics simulation and aggregate behavior research on asphalt

In this comprehensive study, a molecular dynamics (MD) model consisting of approximately 150,000 atoms was developed within the Strategic Highway Research Program (SHRP) framework to investigate the behavior of AAA asphalt, focusing on asphaltene aggregate dynamics behavior over a simulation time span of 0.282 microseconds. The findings reveal that the model achieves a stable state in terms of both energy and microstructure without significant changes or the formation of densely clustered molecules, despite the extensive simulation period. Notably, the patterns of asphaltene aggregation were found to significantly influence the MD system energy, with variations ranging from loosely organized structures due to dispersed asphaltenes to more structured, energy-efficient clusters formed by encapsulated asphaltene pentamers. The size of asphaltene aggregates emerged as a pivotal factor, affecting their encapsulation and leading to distinct formation patterns. Furthermore, the research highlighted that increasing shear rates prompt the depolymerization of asphaltene aggregates, shifting from large-scale structures to smaller ones and adapting dynamically to the flow conditions by aligning parallel to the shear direction. This study underscores the critical impact of asphaltene aggregate behavior and shear rates on the structural integrity and distribution within the asphalt model, offering profound insights into the MD of asphalt materials.

Data integrity in an online world: Demonstration of multimodal bot screening tools and considerations for preserving data integrity in two online social and behavioral research studies with marginalized populations.

Internet-based studies are widely used in social and behavioral health research, yet bots and fraud from "survey farming" bring significant threats to data integrity. For research centering marginalized communities, data integrity is an ethical imperative, as fraudulent data at a minimum poses a threat to scientific integrity, and worse could even promulgate false, negative stereotypes about the population of interest. Using data from two online surveys of sexual and gender minority populations (young men who have sex with men and transgender women of color), we (a) demonstrate the use of online survey techniques to identify and mitigate internet-based fraud, (b) differentiate techniques for and identify two different types of "survey farming" (i.e., bots and false responders), and (c) demonstrate the consequences of those distinct types of fraud on sample characteristics and statistical inferences, if fraud goes unaddressed. We provide practical recommendations for internet-based studies in psychological, social, and behavioral health research to ensure data integrity and discuss implications for future research testing data integrity techniques. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A revisit to interactions of stimulus quality and semantic context on N400 in visual word recognition.

Much behavioral research has revealed interactive effects between stimulus quality and semantic priming in visual word recognition, practically in favor of the interactive activation model. However, the limited number of event-related brain potential (ERP) studies have yielded inconsistent results considering this interaction's impact on N400 amplitude. The current ERP study aimed to examine whether the joint effects of stimulus quality and semantic priming were specific to the lexical decision task. We used both behavioral measures and ERP recordings to evaluate the joint effects of stimulus degradation (i.e. highly vs. slightly degraded) and semantic priming (i.e. semantically related vs. unrelated) in a lexical decision task involving visual recognition of Chinese characters. The results showed significant degradation-by-priming interactions on response times and N400 amplitude ( P < 0.05), with larger semantic priming effects on slightly degraded targets. These converging behavioral and electrophysiological findings provide evidence in accordance with the interactive activation models of visual word recognition, in which the early-stage visual processing (i.e. degradation) cascades into the later-stage semantic processing (i.e. priming), thus yielding interactions observed in N400 amplitude.

Could ambidextrous learning improve employees' disruptive innovation behavior? A double-mediation model

This study investigated the influence mechanism of ambidextrous learning on disruptive innovation behavior and the mediating effects of error management climate and creative self-efficacy. I conducted both online and offline surveys with 452 employees in private enterprises, state-owned enterprises, and institutions. The results indicate that ambidextrous learning predicts employees' disruptive innovation behavior, and both error management climate and creative self-efficacy have significant partial mediating effects on the relationship between ambidextrous learning and disruptive innovation behavior. This study contributes to ambidextrous learning and disruptive innovation behavior research and advances scholarship into aspects of employees' disruptive innovation behavior in enterprises.

Partisans process policy-based and identity-based messages using dissociable neural systems.

Political partisanship is often conceived as a lens through which people view politics. Behavioral research has distinguished two types of "partisan lenses"-policy-based and identity-based-that may influence peoples' perception of political events. Little is known, however, about the mechanisms through which partisan discourse appealing to policy beliefs or targeting partisan identities operate within individuals. We addressed this question by collecting neuroimaging data while participants watched videos of speakers expressing partisan views. A "partisan lens effect" was identified as the difference in neural synchrony between each participant's brain response and that of their partisan ingroup vs. outgroup. When processing policy-based messaging, a partisan lens effect was observed in socio-political reasoning and affective responding brain regions. When processing negative identity-based attacks, a partisan lens effect was observed in mentalizing and affective responding brain regions. These data suggest that the processing of political discourse that appeals to different forms of partisanship is supported by related but distinguishable neural-and therefore psychological-mechanisms, which may have implications for how we characterize partisanship and ameliorate its deleterious impacts.

Expermintal Research of Electrochemical Behaviour of Zinc in Ammonium Chloride Solutions

A present study was investigated “Experimental Research of Electrochemical Behaviour of Zinc in Ammonium Chloride Solutions.” The study was investigated by the electrochemical corrosion of sine is a problem of high significance both in the fundamental and applied fields of electrochemistry. Hence investigations were undertaken to study the corrosion of zinc in storage systems, the electrodeposition and characterisation of sine and the electrodeposition and characterisation of Siti nickel alloy. Results was shows that Potential-pH diagram for zinc in ZnClg/ NH₄Cl electrolyte, as used in Laclanche’s cell. When the surface composition of polished zinc. A freshly polished Zn surface was immersed in 0.5M NH₄Cl for 45 seconds and then analysed for energy measurements by ESCA. The composition of the modified zinc surface is summarised in table-1, When the binding energy was scanned in a narrow range of 1021 to 1010 eV, the participation of Zn 2PI electrons in the bond formation was confirmed. The investigations on the zinc- NH₄Cl system were hence carried out with the following specific objectives: IC4 find out the structure and nature of the species formed un the surface of sine when introduced in NH₄Cl solutions.

Control of false information in social networks: A short review of communication mechanisms and management strategies

In the digital era, social networks serve as critical platforms for information dissemination but are also plagued by the spread of false information, which can undermine public trust and incite societal discord. This study examines the dynamics of false information dissemination on social networks, including its types, influential factors, and detection and management strategies. We explore various forms of false informationsuch as impersonation, misleading content, and AI-generated forgeriesand analyze the role of user interactions, network topology, and macro factors in the spread of misinformation. Detection methods are reviewed, highlighting advancements in technologies like deep learning, and management strategies are proposed, including user behavior regulation and dissemination path control. Challenges related to legal, ethical, and privacy issues are discussed, alongside the complexities of user behavior and future research directions. The findings underscore the need for comprehensive, adaptive approaches to safeguard the integrity of online information ecosystems.