Behavior analysts in research and clinical practice are interested in an ever-expanding array of topics. They are compelled to explore the social validity of the interventions they propose and the findings they generate. As the field moves in these important directions, qualitative methods are becoming increasingly relevant. Representing a departure from small-n design favored by behavior analysts, qualitative approaches provide analysts a unique set of tools to answer questions that prioritize voice, experience, and understandings in context. Despite recognition of the value of qualitative approaches in other disciplines, application of qualitative methods in behavior analysis remains limited. One likely explanation is that behavior analysts are not yet fluent in applying qualitative approaches within their clinical and research investigations. To address this issue, exploration of qualitative research approaches in behavior analytic literature is needed, alongside practical advice for analysts who are interested in using qualitative methods. This article briefly outlines qualitative literature which pertains to behavior analysts wanting to incorporate qualitative methods into their inquiries. Attention is primarily drawn to the need for coherence in designing and implementing a robust qualitative study that aligns with the behavior analyst\'s aims and perspective on knowing. A set of guiding questions are provided to orient behavior analysts to considerations in qualitative research and outline how analysts can conceptualize a strong qualitative study. This article aims to support increased application of qualitative methods by behavior analysts, where these methods best address the function of the behavior analytic investigation.

UNASSIGNED: Caenorhabditis elegans is a widely used model animal. Chemotaxis assay is one of the experiments that study the effects of different chemicals on nematodes. It is mainly used to study the effects of different chemicals on the perception behavior of nematodes. By conducting this experiment, not only can the neurotoxicity of chemicals be reflected, but also the impact of chemicals on physiological functions regulated by the nervous system, such as nematode feeding behavior and basic motor ability.
UNASSIGNED: The experiment of detecting the response of nematode to chemicals is also a common method of chemical toxicity testing based on nematode models. In the analysis of worm tendency behavior, manual operations are generally used. Manually processing a large number of worms under a microscope is very time-consuming and labor-intensive. The current quantitative methods for nematode chemotaxis experiments are not only time-consuming and labor-intensive, but also biased in experimental results due to differences in judgment standards among experimenters. The automatic and efficient quantification method for nematode chemotaxis experiments is a very important technical difficulty in the field of nematode experiments.
UNASSIGNED: Here, we have designed an automatic quantification method for nematode chemotaxis experiments by incorporating image acquisition and processing techniques into the nematode experiment.
UNASSIGNED: The experimental results show that the Pearson correlation coefficient between manual and automatic counting results is 0.978.
UNASSIGNED: This proves the effectiveness of our method. Applying the automatic measurement method to replace manual counting by the experimenter can improve work efficiency, and reduce errors in human counting operations.

What does it mean to be conceptually systematic in contemporary applied behavior analysis (ABA) research and practice? To answer this question, the present study conducted a historical analysis of ABA scholars\' interpretations of the conceptually systematic dimension of ABA over the last 55 years. The present article found the current characteristics of the conceptually systematic dimension are indeed sufficient to suggest ABA\'s conceptual independence from the experimental analysis of behavior or any other subdisciplines of behavior analysis. Based on this finding, this article addresses the challenges in contemporary ABA field such as ABA\'s own basic and applied continuum, translational research, and its relationship with other disciplines\' research and practice.

Big data is a computing term used to refer to large and complex data sets, typically consisting of terabytes or more of diverse data that is produced rapidly. The analysis of such complex data sets requires advanced analysis techniques with the capacity to identify patterns and abstract meanings from the vast data. The field of data science combines computer science with mathematics/statistics and leverages artificial intelligence, in particular machine learning, to analyze big data. This field holds great promise for behavior analysis, where both clinical and research studies produce large volumes of diverse data at a rapid pace (i.e., big data). This article presents basic lessons for the behavior analytic researchers and clinicians regarding integration of data science into the field of behavior analysis. We provide guidance on how to collect, protect, and process the data, while highlighting the importance of collaborating with data scientists to select a proper machine learning model that aligns with the project goals and develop models with input from human experts. We hope this serves as a guide to support the behavior analysts interested in the field of data science to advance their practice or research, and helps them avoid some common pitfalls.

In recent years, there has been an increase in outbreaks of diseases that are preventable by vaccination. As vaccination involves behavior, behavior analysts are uniquely positioned to contribute solutions to this socially significant problem. The present article explores a behavior-analytic approach to understanding the function of the behavior of both people who have their children vaccinated and those who do not have their children vaccinated, and potential interventions to increase vaccination rates. An introduction to the problem is followed by a brief history of the antivaccination movement. In our analysis, a failure to vaccinate is conceptualized as a noncompliance response (i.e., medical nonadherence), and conditions giving rise to that noncompliance are evaluated. In this process, the roles of avoidance, the functional-altering impact of rule-governed behavior, relational frames, and countercontrol are considered. Potential solutions informed by applied behavior-analytic literature, including contingency management and behavioral safety, are discussed.

The need to bring behavior analysis to scale is no more obvious or urgent than now. Collaboration between behavior analysts and healthcare workers, educators, policymakers, mental health clinicians, social workers, and so many other professionals is critical to reaching under-resourced and traditionally marginalized populations. First, however, interprofessional collaboration must be adopted widely and reinforced within the behavior analytic community. Disciplinary centrism and hubris pose barriers to effective interprofessional collaboration, leading one to assume the position that practitioners of the same discipline are better trained and smarter than those of a different field. However, cultural humility (Wright, Behavior Analysis in Practice, 12(4), 805-809, 2019) is an alternative to disciplinary centrism that allows professionals to retain identities born of cultural histories and training (Pecukonis, Journal of Teaching in Social Work, 40(3), 211-220, 2020). Furthermore, cultural reciprocity is a process of self-observation and collaborative inquiry that involves questioning one\'s own assumptions and forces individuals (and professions) to confront the contradictions between their values and their practices (Kalyanpur & Harry, 1999). In this paper, we revisit the call for Humble Behaviorism first made by Alan Neuringer in 1991 and the recommendations of fellow behavior analysts since. Specifically, we introduce a framework of cultural reciprocity to guide humble behaviorists as they acquire behaviors necessary to establish and maintain productive interprofessional relationships. We encourage them to act on their ethical and moral duties to address social problems of global concern and bring behavior analysis to scale.

In 2018, 22,000,000 Brazilian women experienced some type of violence (either physical or psychological), and 42% of these episodes occurred in the domestic environment. Therefore, government strategies have been developed to solve this problem. This study aimed to (a) carry out a survey of Brazilian government strategies for the protection of women after the creation of the Maria da Penha Law (Law No. 11.340, 2006) and (b) discuss these strategies from the concept of cultural design. Sixteen laws, five decrees, and two ordinances were found and analyzed. In a general way, the analysis suggests that they are not effective cultural plans because most do not show long-term results, and some of the laws that typify crimes and those that relate to the aggressor\'s behavior do not specify the target behaviors, so there is no explicit contingency. Despite this, such strategies are relevant, as they end up providing the protective context for women from a social, legal, and political point of view. Finally, it is expected that the discussions raised in the present work can help prepare interventions that favor socially beneficial cultural practices.

Background Stress affects mental health significantly and is a ubiquitous feature of contemporary living. Among the possible antibiotics are omadacycline and vancomycin, whose anti-inflammatory properties have also been thoroughly documented in recent research. The goal of the current study was to examine their complex involvement in the brain\'s stress response circuits and how they modulate stress. An established model organism that provides a useful platform for examining stress-induced behaviors and possible therapeutic approaches is the zebrafish. To investigate how dopamine affects the stress response, we used a zebrafish model that was exposed to stress. Methodology For three minutes, zebrafish were continually subjected to chasing stress. They were then given antibiotic combinations of 50 µg/mL each of vancomycin and omadacycline at various ratios of 1:1, 3:1, and 3:1. Behavior alterations, including freezing bouts, top-bottom ratios, and latency periods, were analyzed and contrasted with control groups. ImageJ software was utilized to analyze the video footage of the fish. Results The study showed that the combination of omadacycline and vancomycin greatly reduced the behaviors in zebrafish caused by stress. They chose their concentration (50 µg/mL) according to the lethal concentration 50% result. By shortening the latency time and increasing the intensity of breezing sessions, these chemicals restored almost normal activity. There was statistical significance in the outcomes. The results show that the combination of vancomycin and omadacycline may have an anti-psychotic impact on zebrafish behaviors brought on by stress. Their control of stress reactions is consistent with their known roles in the reward and stress circuits of the brain. These results emphasize the complex interactions between neurotransmitter systems and the control of stress, highlighting the therapeutic potential of dopamine in the treatment of stress-related mental illnesses. Conclusions The combination of vancomycin and omadacycline has been shown to have anti-psychotic effects, which presents potential opportunities for the development of new treatment strategies for mental diseases associated with stress. To fully understand the specific processes underpinning their involvement in stress management and how they relate to mental illnesses in humans, more investigation is necessary.

This paper presents a study in capturing the impacts of the mandatory pandemic-induced telework practice on workers\' perceptions of the benefits, challenges, and difficulties associated with telecommuting and how those might influence their preference for telework in the future. Data was collected through an online survey conducted in South Florida in May 2020. Survey data showed that telework indices (either measured through actual behavior or stated preference) before, during, and after the pandemic were heterogeneous across socio-economic, demographic, and attitudinal segments. Before the outbreak, males, full-time students, those with PhD degrees, and high-income people showed higher percentages of involvement in jobs with a telework option. They also had higher pro-technology, pro-online education, workaholic, and pro-telework attitudes. During the pandemic, professional/managerial/technical jobs as well as jobs with lower physical-proximity measures showed the highest telework frequency. In view of future telework preferences, our analysis showed that those who were more pro-telework, pro-technology, and showed less dislike of telework dislike preferred higher telework frequency. A structural equation model was developed to assess the impacts of different predictors on telework behavior before the pandemic and preferences after the pandemic. While telework frequency before the pandemic was highly affected by the pro-telework attitude, the after-pandemic preferences were influenced by several other attitudes such as dislike telework, enjoy interaction, workaholic, as well as productivity factors. This might confirm the assumption that the mandatory practice through the pandemic has provided employees more experiences with work-from-home arrangements, which could reshape decisions and expectations around telework adoption in the future.

Studies have explored the consequences of excessive exposure to white-light-emitting diodes (LEDs) in the retina. Hence, we aimed to assess the implications of such exposure on structural alterations of the visual cortex, learning and memory, and amelioration by blue-light-blocking lenses (BBLs). Eight-week-old Wistar rats (n = 24) were used for the experiment and divided into four groups (n = 6 in each group) as control, white LED light exposure (LE), BBL Crizal Prevencia-1 (CP), and DuraVision Blue-2 (DB). Animals in the exposure group were exposed to white LED directly for 28 days (12:12-h light/dark cycle), whereas animals in the BBL groups were exposed to similar light with BBLs attached to the LEDs. Post-exposure, a Morris water maze was performed for memory retention, followed by structural analysis of layer 5 pyramidal neurons in the visual cortex. We observed a significant difference (P < 0.001) in the functional test on day 1 and day 2 of training in the LE group. Structural analysis of Golgi-Cox-stained visual cortex layer 5 pyramidal neurons showed significant alterations in the apical and basal branching points (p < 0.001) and basal intersection points (p < 0.001) in the LE group. Post hoc analysis revealed significant changes between (p < 0.001) LE and CP and (p < 0.001) CP and DB groups. Constant and cumulative exposure to white LEDs presented with structural and functional alterations in the visual cortex, which are partly remodeled by BBLs.