Pattern Mining-Based Pig Behavior Analysis for Health and Welfare Monitoring.

The increasing popularity of pigs has prompted farmers to increase pig production to meet the growing demand. However, while the number of pigs is increasing, that of farm workers has been declining, making it challenging to perform various farm tasks, the most important among them being managing the pigs' health and welfare. This study proposes a pattern mining-based pig behavior analysis system to provide visualized information and behavioral patterns, assisting farmers in effectively monitoring and assessing pigs' health and welfare. The system consists of four modules: (1) data acquisition module for collecting pigs video; (2) detection and tracking module for localizing and uniquely identifying pigs, using tracking information to crop pig images; (3) pig behavior recognition module for recognizing pig behaviors from sequences of cropped images; and (4) pig behavior analysis module for providing visualized information and behavioral patterns to effectively help farmers understand and manage pigs. In the second module, we utilize ByteTrack, which comprises YOLOx as the detector and the BYTE algorithm as the tracker, while MnasNet and LSTM serve as appearance features and temporal information extractors in the third module. The experimental results show that the system achieved a multi-object tracking accuracy of 0.971 for tracking and an F1 score of 0.931 for behavior recognition, while also highlighting the effectiveness of visualization and pattern mining in helping farmers comprehend and manage pigs' health and welfare.

Anti-psychotic Nature of Antibiotics: Vancomycin and Omadacycline Combination Ameliorating Stress in a Zebrafish Model.

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.

Tutorial: Lessons Learned for Behavior Analysts from Data Scientists.

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.

The Evolution of the Conceptually Systematic Dimension and Its Current Functions in Applied Behavior Analysis.

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.

Treating Target Behaviors of Autistic Individuals With Applied Behavior Analysis: An Ongoing Replication Study.

Background Ongoing outcome data replication on target behaviors with autistic individuals using applied behavior analysis (ABA) confirms its effectiveness and remains an essential evidenced-based standard of care. This replication study aims to further confirm the impact of discrete trial training and mass trials on general target behaviors within a naturalistic environment. Methods Data was gathered from 92 children and four adult autistic individuals over one month from 7/7/23 to 8/8/23 using a repeated measures design. This study used a retrospective chart review with general target behaviors to determine the effectiveness of ABA treatments using discrete trial training and mass trials across time and age categories in a naturalistic environment. Results A mixed analysis of variance (ANOVA) indicated statistical significance (sphericity assumed), F(2,168) = 31.663, p < 0.001 (time). Multiple comparisons using bootstrapped paired t-tests indicated p < 0.001 on the three comparisons. There was a significant interaction effect (sphericity assumed) with time x age category, F(8,168) = 2.918, p = 0.004. Interaction contrasts indicated statistically significant differences over time within the 1-4 years, 5-8 years, and a portion of 9-12 years, and not within the 13-16 years and 17-73 years age groups. Conclusions Autistic individuals receiving ABA demonstrated statistically significant improvement in target behaviors over one month. There was a significant interaction between time and age on target behaviors, suggesting a significant association between time and age categories. The reporting of ongoing intervention outcomes provides further justification for continued treatments relative to target behavior mastery with autistic individuals.

Examining the Effects of Discrete Trials, Mass Trials, and Naturalistic Environment Training on Autistic Individuals Using Repeated Measures.

INTRODUCTION: Behavioral interventions based on applied behavior analysis (ABA) form current evidence-based practices in treating autism spectrum disorder (ASD). Research is scarce relative to the broad effects of intensive repetitive, discrete trial training, and mass trials combined with a naturalistic environment as measured by overall general target behaviors. The primary objective of this study was to evaluate the effectiveness of a mixed behavioral model consisting of discrete trial training and mass trial interventions in the naturalistic environment, using a repeated measures design with a retrospective snapshot cohort of 93 individuals with autism. METHODS: A repeated measures analysis tracked 89 autistic children with four adult autistic individuals over seven time points during a three-month snapshot period from March 19, 2023, to June 11, 2023. This study determined the effectiveness of applied behavior analysis (ABA) interventions combining discrete trial training, mass trials, and naturalistic environment training on mastered broad target behaviors in autistic individuals using a mixed (between and within) ANOVA statistical design. RESULTS: Mixed (between and within) ANOVA indicated overall statistical significance, F (6,674)=45.447, p<0.001, partial eta squared=0.365 across time. These results indicated a large effect size. Multiple comparisons showed statistical significance (p<0.001) on all 21 multiple comparisons between timepoints. There was also a significant interaction effect with time × age category, F (24,474)=2.961, p<0.001, partial eta squared=0.130. These results also indicated a large effect size. CONCLUSIONS: Autistic individuals who received applied behavior analysis combining discrete trial training, mass trials, and naturalistic environment training intervention demonstrated statistically significant improvement in target behaviors over the three-month snapshot period, the most prominent being in the 13-16 years age category.

Impact of Applied Behavior Analysis on Autistic Children Target Behaviors: A Replication Using Repeated Measures.

INTRODUCTION: Applied behavior analysis (ABA) is a primary evidence-based practice in treating autism spectrum disorder (ASD). Ongoing research is needed to report the results of ABA relative to attaining target behaviors. This study aims to replicate the results of previous research to determine the effectiveness of ABA of target behaviors in autistic children with a new timepoint sample of data.  Materials & methods: A repeated measures analysis tracked 98 autistic children, which included four adult participants, over three timepoints during a one-month snapshot period from 6/7/23 to 7/7/23. This study used a retrospective chart review to gather data on target behaviors to determine the effectiveness of ABA treatments across age categories. A mixed (between x within) analysis of variance (ANOVA) and subsequent post hoc and interaction contrasts were used to determine statistical significance. RESULTS: Mixed (between x within) ANOVA indicated statistical significance (sphericity assumed), F(2,160) = 32.893, and p < 0.05, across time. Using bootstrapped paired t-tests, multiple comparisons indicated p < 0.001 on all three multiple comparisons, with Bonferroni corrected α = 0.017. There was also a non-significant interaction effect (sphericity assumed) with (time) x (age category), F(8,160) = 0.333, p = 0.952, likely due to sizeable within-group variation resulting in a lowered statistical power.  Conclusions: This replication found that autistic children receiving the ABA intervention demonstrated statistically significant improvement in target behaviors over the one-month snapshot period.

Prompting and Modeling of Coping Strategies during Childbirth.

There is ample evidence to suggest that upright positions and mobility during labor improve birth outcome, including shorter duration of childbirth and reduced risk of cesarean section. The use of nonpharmacological interventions for pain management during childbirth are recommended by major health-care institutions and medical providers, however, the current methodologies for training coping strategies for use during labor have not shown to be effective on mobility or birth outcome. The purpose of this study was to apply an in-vivo teaching technology to the current childbirth model to prompt an imitative repertoire of empirically demonstrated labor coping strategies. Results of this study concluded that the introduction of a software using immediate prompting and video modeling increased the frequency and variability of labor behaviors during unmedicated labor for birthing persons and their partners.

Disability-Affirming Supervision: Future Directions in Applied Behavior Analytic Supervision.

Various disciplines have undergone a shift towards increasing diversity, multiculturalism, and cultural humility in the past few years. In 2019, a Behavior Analysis in Practice special issue raised a collective call to action for increased diversity and representation within the field at both organizational and individual levels. Since that time, articles, discussions, and reports have been published providing heightened attention to cultural humility toward clients, stakeholders, and practitioners. However, little attention has been directed toward the diversity of individuals supervised by behavior analysts. In particular, effective and compassionate supervision of people with disabilities has not been addressed in the field. Practitioners and supervisors need to have the necessary knowledge and skills to be able to inclusively and effectively train and shape the behavior of supervisees with disabilities. The present article reviews the literature, research, and practices from the field of psychology and makes recommendations of tools to create a disability-affirming environment for supervision in the field of applied behavior analysis. Supplementary Information: The online version contains supplementary material available at 10.1007/s40617-023-00846-5.

A Survey of Barriers Experienced while Providing Supervision via Telehealth: Implications for Future Research and Practice.

Telehealth is an acceptable service delivery mechanism for applied behavior analytic interventions and has led to positive outcomes for decreasing problem behavior and increasing skill acquisition in individuals with autism spectrum disorder. Literature regarding best practices for providing behavior analytic services via telehealth has increased; however, limited literature exists on training, best practices, implementation guidelines, and troubleshooting resources when providing supervision to supervisees via telehealth. Therefore, the purpose of this study was to understand the barriers to supervision via telehealth of BCBAs and those pursuing their BCBA credential. Following survey distribution and completion, participant data were analyzed for specific barriers encountered while providing behavioral supervision during telehealth and the strategies participants used to address or mitigate those barriers. Based on our findings, we also present troubleshooting resources and recommendations to help supervising behavior analysts prepare for and mitigate any supervisory barriers that may occur in the future.

Cultural Responsiveness in Behavior Analysis: Provider and Recipient Perceptions in Ontario.

Cultural responsiveness is critical to providing high-quality behavior analytic services, particularly when providers and recipients have different cultural backgrounds. The purpose of this study was to systematically replicate and extend (Beaulieu et al. (2019) Behavior Analysis in Practice, 12(3), 557-575) by investigating the diversity among applied behavior analysis (ABA) service providers and service recipients in Ontario, service providers' training and experiences in working with diverse families, and service providers' and recipients' perceptions of behavior analysts' cultural responsiveness in practice. Results from 428 participants suggest that service providers and recipients in Ontario differ in demographic characteristics; service providers report having little training in how to serve diverse families; and although service recipients rate providers' skills relatively positively, there is room for improvement. Results suggest a path forward for behavior analysis that includes education and training in cultural responsiveness as well as encouraging and fostering a bidirectional relationship between behavior analysts and the families they serve. Supplementary Information: The online version contains supplementary material available at 10.1007/s40617-023-00825-w.

Starting the Conversation Around the Ethical Use of Artificial Intelligence in Applied Behavior Analysis.

Artificial intelligence (AI) is increasingly a part of our everyday lives. Though much AI work in healthcare has been outside of applied behavior analysis (ABA), researchers within ABA have begun to demonstrate many different ways that AI might improve the delivery of ABA services. Though AI offers many exciting advances, absent from the behavior analytic literature thus far is conversation around ethical considerations when developing, building, and deploying AI technologies. Further, though AI is already in the process of coming to ABA, it is unknown the extent to which behavior analytic practitioners are familiar (and comfortable) with the use of AI in ABA. The purpose of this article is twofold. First, to describe how existing ethical publications (e.g., BACB Code of Ethics) do and do not speak to the unique ethical concerns with deploying AI in everyday, ABA service delivery settings. Second, to raise questions for consideration that might inform future ethical guidelines when developing and using AI in ABA service delivery. In total, we hope this article sparks proactive dialog around the ethical use of AI in ABA before the field is required to have a reactionary conversation.

Exploring the Acquisition of Social Communication Skills in Children with Autism: Preliminary Findings from Applied Behavior Analysis (ABA), Parent Training, and Video Modeling.

Social communication skills, especially eye contact and joint attention, are frequently impaired in autism spectrum disorder (ASD) and predict functional outcomes. Applied behavior analysis is one of the most common evidence-based treatments for ASD, but it is not accessible to most families in low- and middle-income countries (LMICs) as it is an expensive and intensive treatment and needs to be delivered by highly specialized professionals. Parental training has emerged as an effective alternative. This is an exploratory study to assess a parental intervention group via video modeling to acquire eye contact and joint attention. Four graded measures of eye contact and joint attention (full physical prompt, partial physical prompt, gestural prompt, and independent) were assessed in 34 children with ASD and intellectual disability (ID). There was a progressive reduction in the level of prompting required over time to acquire eye contact and joint attention, as well as a positive correlation between the time of exposure to the intervention and the acquisition of abilities. This kind of parent training using video modeling to teach eye contact and joint attention skills to children with ASD and ID is a low-cost intervention that can be applied in low-resource settings.

It's our job to bridge the gap: Perspectives of bilingual autism providers on heritage language care.

LAY ABSTRACT: In the United States, many people have heritage languages they speak in their homes other than English, such as Chinese or Spanish. Autistic children whose families speak different languages could benefit from support and teaching in their heritage languages. Still, caregivers have reported that it is challenging to do so. Many autism professionals make suggestions that are not based on research. To date, researchers have not examined the perspectives of the small group of bilingual professionals in the United States who provide bilingual support for autistic children. Therefore, this study explored how bilingual autism providers in the United States talked about their work, bilingualism, and the impacts their bilingual work has on autistic children and families. The bilingual providers in this study reported many positive outcomes for autistic children when they can learn and use their heritage languages and some negative outcomes when providers cannot communicate in the same language. Recommendations from this study highlight the need to recruit more bilingual providers in the field of autism.

Influence of white-light-emitting diodes on primary visual cortex layer 5 pyramidal neurons (V1L5PNs) and remodeling by blue-light-blocking lenses.

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.

The devil is in the details: Advancing our collective understanding of naturalistic developmental behavioral interventions.

Given the growing body of randomized trials examining various Naturalistic Developmental Behavioral Intervention (NDBI) approaches, a dialog has emerged exploring the overlap in strategies across NDBIs to create single measures that propose to capture core strategies across the interventions. This commentary will ask readers to consider the current state of the science, the potential value of looking not only for similarities but also for differences across approaches, and present five scientific next steps to advance our collective understanding of the NDBIs including: (a) operationalizing intervention strategies and outcomes, (b) expansion of the effectiveness evidence base and begin testing implementation strategies for individual NDBIs, (c) rigorous testing of core intervention components and the mechanism of each intervention, (d) personalization, and (e) supporting transparency with a priori trial registration.

Caregiver involvement in applied behavior-analytic research: A scoping review and discussion.

We conducted a scoping review to characterize the role of caregiver involvement in behavior-analytic research. We reviewed eight behavioral-learning journals from 2011-2022 for works that included children or caregivers as participants and characterized caregiver involvement as passive (implications for caregivers, input, social validity) and active (implementation, caregiver behavior, training, caregiver-collected data). The review identified 228 studies, and almost all (96.1%; n = 219) involved caregivers in some capacity; 94.3% (n = 215) had passive involvement (26.8% had only passive involvement; n = 61), 69.3% (n = 158) had active involvement (1.8% had only active involvement; n = 4), and 3.9% (n = 9) had neither passive nor active involvement. Involvement generally increased over publication years. The most common types of involvement were implications for caregivers, implementation, and input; caregiver-collected data were rare. We propose considerations when engaging caregivers in research and suggest new avenues of inquiry related to caregivers' treatment objectives and social validity, treatment implementers, and caregiver-collected data.

Toward Socially Meaningful Case Conceptualization: The Risk-Driven Approach.

The Behavior Analysis Certification Board (BACB) Ethics Code states that "behavior analysts should put compliance with the law and clients' interests first by actively working to maximize desired outcomes and minimize risk" (emphasis added; BACB, 2020, p. 5). In turn, board certified practitioners must approach the case conceptualization process in applied behavior analysis (ABA) with respect to minimizing risks to an improved quality of life (QoL). As such, ABA services must be based on an understanding of risk-risk to ensuring desired outcomes. The purpose of the current article is two-fold (1) revisit social validity and propose features of socially meaningful case conceptualization, and (2) introduce a corresponding structured risk-driven approach to ABA service delivery. A primary aim is to equip all stakeholders with readily accessible practice-related supports-ensuring clients' rights to effective services towards an improved QoL.

Registered Behavior Technicians' Training Experiences for Severe Problem Behavior: A Survey.

Registered Behavior Technicians (RBTs) are the primary paraprofessionals who deliver applied behavior analysis (ABA) services to individuals with autism spectrum disorder (ASD) under supervision of a Board Certified Behavior Analyst (BCBA). Effective training and supervision for RBTs providing ABA services is critical, especially for technicians working with children who exhibit severe behaviors. Recent research has assessed the needs of BCBAs working with individuals who exhibit severe problem behavior (Colombo et al., 2021). However, no research exists to identify the needs and ongoing training offered to the RBTs who provide ABA services to clients who exhibit severe problem behavior. Thus, the purpose of the current study was to survey RBTs for their initial training experiences and ongoing supports offered when working with clients who exhibit severe problem behavior. Results indicated that some RBTs reported appropriate initial and ongoing training, however, 13% reported receiving no initial training and 29% reported receiving no ongoing training when working with clients who engaged in severe problem behavior. In addition, 75% of RBTs reported sustaining an injury themselves and 36% reported their client sustained some type of injury. Suggestions for improvement for training RBTs working with this population and directions for future research are discussed.