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Copyright of General Medicine & Health Sciences / Medycyna Ogólna i Nauki o Zdrowiu is the property of Witold Chodzki Institute of Rural Medicine and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

ABSTRACTPersonal exposure studies suffer from uncertainty issues, largely stemming from individual behaviour uncertainties. Built on spatial-temporal exposure analysis and methods, this study proposed a novel approach to spatial-temporal modelling that incorporated behaviour classifications taking into account uncertainties, to estimate individual livestock exposure potential. The new approach was applied in a community-based research project with a Tribal community in the southwest United States to address questions on potential livestock exposure to abandoned uranium mines (AUMs). The study aimed to 1) classify Global Positioning System (GPS) data from livestock into three behaviour subgroups – grazing, travelling or resting; 2) calculate the daily cumulative exposure potential for livestock; 3) assess the performance of the computational method with and without behaviour classifications. Using Lotek Litetrack GPS collars, we collected data at a 20-min-interval for two flocks of sheep and goats during the spring and summer of 2019. Analysis and modelling of GPS data demonstrated no significant difference in individual cumulative exposure potential within each flock when animal behaviours with probability/uncertainties were considered. However, when daily cumulative exposure potential was calculated without consideration of animal behaviour or probability/uncertainties, significant differences among animals within a herd were observed, which does not match animal grazing behaviours reported by livestock owners. These results suggest that the proposed method including behaviour subgroups with probability/uncertainties more closely resembled the observed grazing behaviours. Results from the research may be used for future intervention and policy-making on remediation efforts in communities where grazing livestock may encounter environmental contaminants.

This paper deals with the issues of the analysis of the behaviour of social media users in the context of security risk reduction in the digital environment. In this respect, the subject of this paper is the behaviour of social media users (mainly millennials, from the population of university students, attending studies in the field of security) depending on the gender. The aim of the research is to identify recommendations for a safer use of social media. To this end, the research was conducted on the basis of an anonymous survey comprising 15 questions (3 of demographic and 12 questions of essential significance). The survey covered 333 university students (undergraduate and graduate students of both genders) attending study programmes in the field of security. With the use of the Mann-Whitney test, contingency tables, the Kruskal-Wallis test, as well as the Spearman's rank correlation test, it has been established that the behaviour patterns of men and women who use social media are very similar, but that there is a substantial statistical difference in certain scenarios. In addition to this, this survey has shown that, irrespective of the gender, risks of being attacked are consciously taken when sharing personal information, along with a reckless use of devices, passwords, and passcodes. By comparing the above-mentioned conclusions with the position of the general hypothesis: "There are similarities and differences between men and women in terms of the behaviour patterns on social media and in the cyberspace in general", so the conclusion is that it is verified. One of the solutions to the identified problems in the behaviour of social media users is to raise their awareness regarding the risks of doing business and/or accessing entertainment content on social media, as well as their continuous training for the purpose of protecting their own data.

Copyright of Socioloski Pregled is the property of Srpsko Sociolosko Drustvo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Personal exposure studies suffer from uncertainty issues, largely stemming from individual behaviour uncertainties. Built on spatial-temporal exposure analysis and methods, this study proposed a novel approach to spatial-temporal modelling that incorporated behaviour classifications taking into account uncertainties, to estimate individual livestock exposure potential. The new approach was applied in a community-based research project with a Tribal community in the southwest United States to address questions on potential livestock exposure to abandoned uranium mines (AUMs). The study aimed to 1) classify Global Positioning System (GPS) data from livestock into three behaviour subgroups – grazing, travelling or resting; 2) calculate the daily cumulative exposure potential for livestock; 3) assess the performance of the computational method with and without behaviour classifications. Using Lotek Litetrack GPS collars, we collected data at a 20-min-interval for two flocks of sheep and goats during the spring and summer of 2019. Analysis and modelling of GPS data demonstrated no significant difference in individual cumulative exposure potential within each flock when animal behaviours with probability/uncertainties were considered. However, when daily cumulative exposure potential was calculated without consideration of animal behaviour or probability/uncertainties, significant differences among animals within a herd were observed, which does not match animal grazing behaviours reported by livestock owners. These results suggest that the proposed method including behaviour subgroups with probability/uncertainties more closely resembled the observed grazing behaviours. Results from the research may be used for future intervention and policy-making on remediation efforts in communities where grazing livestock may encounter environmental contaminants. [ABSTRACT FROM AUTHOR]

Simple Summary: The laboratory fish model plays an important role in modern scientific research. Ensuring the welfare of laboratory fish is beneficial to the repeatability of experimental results. Laboratory fish will face some stressors in the process of feeding and management, but there are few studies on this part. Our study shows that unpredictable chronic stress for 7 and 14 days can lead to a significant decrease in growth and cortisol levels of laboratory rare minnow. At the same time, the behaviour pattern and neurotransmitter response changed more significantly with the increase of time. Therefore, we should try to reduce the duration and intensity of these stressors to ensure their welfare needs in daily feeding management. Fishes often adjust their behaviour patterns and physiological responses to cope with changing environments, and different life experiences affect them differently. Fishes might adapt to short-term stress, whereas long-term unpredictable stress may lead to various adverse effects. Although some studies have constructed unpredictable stress models of fish, the effect of unpredictable chronic stress (UCS) in the laboratory is poorly understood in fishes. In the current study, we exposed adult rare minnow to an unpredictable chronic stress protocol over 7 and 14 days and measured their response in terms of growth performance, cortisol, neurotransmitter levels (DA, 5-HT, and related metabolites), and behaviour patterns to comprehensively assess the effects of UCS on laboratory rare minnow. We discovered that specific growth rates were significantly decreased, and cortisol levels were lowered in both 7-days and 14-days stress groups. In the behaviour test, the activity level of the 14-days stress group increased, but there was no significant difference in the number of crossings to the center areas, time spent in the center areas, or the speed. In addition, the levels of DA and 5-HT did not change in the stress groups, but the DOPAC and 5-HIAA levels in the 14 days stress group were significantly higher than those in the control group. These results suggested that UCS influences rare minnow growth performance, behaviour patterns, and cortisol levels, and similar stress should be minimised in the laboratory. [ABSTRACT FROM AUTHOR]

The primary objective of this study was to discover the positional attack performance indicators of the winning Netherlands women's national handball team during the 2019 World Championship in Japan. An ideographic, follow-up and multidimensional observational design was used to record and analyse positional attacks disputed in equal numbers of players (6v6) excluding attacks with an empty goal. Polar coordinates allowed us to determine behaviour patterns as well as performance indicators related to attack continuity, situations used to destabilise the opponents' defence, and actions involved in completing the attack. Two levels of analysis were used: each match individually and all the team's matches as a whole. Results show that each match had its own specific game dynamics as different behaviour patterns were activated and different performance indicators were observed depending on the match. These findings highlight the variability and dynamic nature of the offensive behaviours and performance indicators of the world champion team, emphasising the need to study performance indicators with research projects that respect that they are specific and changing. [ABSTRACT FROM AUTHOR]

Design, construction, maintenance and upgrading of civil engineering infrastructure requires fresh thinking to minimize use of materials, energy and labour. This can only be achieved by understanding the performance of the infrastructure, both during its construction and throughout its design life, through innovative monitoring. Advances in sensor systems offer intriguing possibilities to radically alter methods of condition assessment and monitoring of infrastructure. In this paper, it is hypothesized that the future of infrastructure relies on smarter information; the rich information obtained from embedded sensors within infrastructure will act as a catalyst for new design, construction, operation and maintenance processes for integrated infrastructure systems linked directly with user behaviour patterns. Some examples of emerging sensor technologies for infrastructure sensing are given. They include distributed fibre-optics sensors, computer vision, wireless sensor networks, low-power micro-electromechanical systems, energy harvesting and citizens as sensors.

Fishes often adjust their behaviour patterns and physiological responses to cope with changing environments, and different life experiences affect them differently. Fishes might adapt to short-term stress, whereas long-term unpredictable stress may lead to various adverse effects. Although some studies have constructed unpredictable stress models of fish, the effect of unpredictable chronic stress (UCS) in the laboratory is poorly understood in fishes. In the current study, we exposed adult rare minnow to an unpredictable chronic stress protocol over 7 and 14 days and measured their response in terms of growth performance, cortisol, neurotransmitter levels (DA, 5-HT, and related metabolites), and behaviour patterns to comprehensively assess the effects of UCS on laboratory rare minnow. We discovered that specific growth rates were significantly decreased, and cortisol levels were lowered in both 7-days and 14-days stress groups. In the behaviour test, the activity level of the 14-days stress group increased, but there was no significant difference in the number of crossings to the center areas, time spent in the center areas, or the speed. In addition, the levels of DA and 5-HT did not change in the stress groups, but the DOPAC and 5-HIAA levels in the 14 days stress group were significantly higher than those in the control group. These results suggested that UCS influences rare minnow growth performance, behaviour patterns, and cortisol levels, and similar stress should be minimised in the laboratory.

Location-based social networks such as Swarm provide a rich source of information on human behaviour and urban functions. Our analysis of data created by users who voluntarily used check-ins with a mobile application can give insight into a user’s mobility and behaviour patterns. In this study, we used location-sharing data from Swarm to explore spatio-temporal, geo-temporal and behaviour patterns within the city of Melbourne. Moreover, we used several tools for different datasets. We used the MeaningCloud tool for sentiment analysis and the LIWC15 tool for psychometric analysis. Also, we employed SPSS software for the descriptive statistical analysis on check-in data to reveal meaningful trends and attain a deeper understanding of human behaviour patterns in the city. The results show that most people do not express strong negative or positive emotions in relation to the places they visit. Behaviour patterns vary based on gender. Furthermore, mobility patterns are different on different days of the week as well as at different times of a day but are not necessarily influenced by the weather.

Location-based social networks such as Swarm provide a rich source of information on human behaviour and urban functions. Our analysis of data created by users who voluntarily used check-ins with a mobile application can give insight into a user's mobility and behaviour patterns. In this study, we used location-sharing data from Swarm to explore spatiotemporal, geo-temporal and behaviour patterns within the city of Melbourne. Moreover, we used several tools for different datasets. We used the MeaningCloud tool for sentiment analysis and the LIWC15 tool for psychometric analysis. Also, we employed SPSS software for the descriptive statistical analysis on check-in data to reveal meaningful trends and attain a deeper understanding of human behaviour patterns in the city. The results show that most people do not express strong negative or positive emotions in relation to the places they visit. Behaviour patterns vary based on gender. Furthermore, mobility patterns are different on different days of the week as well as at different times of a day but are not necessarily influenced by the weather. [ABSTRACT FROM AUTHOR]

Background: Understanding the complex interplay between emotional intelligence and behaviour patterns among adolescents holds a pivotal role in shaping their developmental trajectories and overall well-being. Adolescence, marked by rapid physical, emotional and cognitive changes, is a critical phase where emotional skills and behavioural tendencies are particularly malleable., Purpose: The study investigates the interplay between emotional intelligence and behaviour patterns among adolescents in Gujarat and Maharashtra, India. The research objectives encompassed assessing emotional intelligence levels, exploring gender differences and examining the relationship between emotional intelligence and behaviour patterns., Methods: The research design employed ex post facto methodology, collecting data from 740 adolescents across CBSE schools. Validated measures for emotional intelligence and criminal propensity were utilized., Results: The results revealed the impact of gender, regions and their interaction on different dimensions of emotional intelligence and criminal propensity. While some dimensions were significantly influenced by these factors, others remained unaffected. The correlation analysis underscored intricate relationships between emotional intelligence dimensions and criminal propensity., Conclusion: The study contributes valuable insights into the dynamics of Emotional Intelligence and Behaviour Patterns among adolescents, highlighting the need for targeted interventions and support systems. These findings hold implications for educators, parents and policymakers in fostering Emotional Intelligence development and curbing potential Behavioural concerns among adolescents., Competing Interests: The authors declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article., (© The Author(s) 2024.)

The recent development of dairy production is characterised by increasing herd sizes and therefore increasingly complicated visual observation of cow behaviour, which is traditionally the basis for diagnoses of production diseases. The limitation of the direct visual behavioural observation due to the increasing number of individual cows implies a growing need for an automated detection of changes within behavioural patterns to identify cows that show sickness behaviour. Sensor systems can be used to measure behavioural patterns such as activity, resting, feeding and rumination. Behavioural patterns change with the occurrence of sickness but also interact with external factors. Changes such as prolonged lying duration or shortened feeding duration caused by metabolic disorders or infections, respectively, then serve as a detection tool for sick individuals. The aim of the present review is to outline the impact of production diseases on the daily behavioural patterns of dairy cows by referring to sickness behaviour.

Examining the characteristics of an animal’s lying behaviour, such as frequency and duration of lying bouts, has become increasingly relevant for animal welfare research. Triaxial accelerometers have the advantage of being able to continuously monitor an animal’s standing and lying behaviour without relying on live observations or video recordings. Multiple models of accelerometers have been validated for use in monitoring dairy cattle; however, no units have been validated for use in equines. This study tested Onset Pendant G data loggers attached to the hind limb of each of two mature Standardbred horses for a period of 5 days. Data loggers were set to record their position every 20 s. Horses were monitored via live observations during the day and by video recordings during the night to compare activity against accelerometer data. All lying events occurred overnight (three to five lying bouts per horse per night). Data collected from the loggers was converted and edited using a macro program to calculate the number of bouts and the length of time each animal spent lying down by hour and by day. A paired t-test showed no significant difference between the video observations and the output from the data loggers (P=0.301). The data loggers did not distinguish standing hipshot from standing square. Predictability, sensitivity, and specificity were all >99%. This study has validated the use of Onset Pendant G data loggers to determine the frequency and duration of standing and lying bouts in adult horses when set to sample and register readings at 20 s intervals.

The article proposes a new method suitable for advanced analysis of web portal visits. This is part of retrieving information and knowledge from web usage data (web usage mining). Such information is necessary in order to gain better insight into visitor’s needs and generally consumer behaviour. By le­ve­ra­ging this information a company can optimize the organization of its internet presentations and offer a better end-user experience. The proposed approach is using Grammatical evolution which is computational method based on genetic algorithms. Grammatical evolution is using a context-free grammar in order to generate the solution in arbitrary reusable form. This allows us to describe visitors’ behaviour in different manners depending on desired further processing. In this article we use description with a procedural programming language. Web server access log files are used as source data.The extraction of behaviour patterns can currently be solved using statistical analysis – specifically sequential analysis based methods. Our objective is to develop an alternative algorithm.The article further describes the basic algorithms of two-level grammatical evolution; this involves basic Grammatical Evolution and Differential Evolution, which forms the second phase of the computation. Grammatical evolution is used to generate the basic structure of the solution – in form of a part of application code. Differential evolution is used to find optimal parameters for this solution – the specific pages visited by a random visitor. The grammar used to conduct experiments is described along with explanations of the links to the actual implementation of the algorithm. Furthermore the fitness function is described and reasons which yield to its’ current shape. Finally the process of analyzing and filtering the raw input data is described as it is vital part in obtaining reasonable results.

Background: Canadian youth exhibit a number of risky behaviours, some of which are associated with overweight and obesity. The purpose of this study was to examine the prevalence of 15 modifiable risk behaviours in a large sample of Canadian youth, to identify underlying subgroups based on patterns of health behaviours, and to examine the association between identified subgroups and overweight/obesity.Methods: Data from 18,587 grades 9-12 students in Year 1 (2012-13) of the COMPASS study and latent class analysis were used to identify patterns and clustering among 15 health behaviours (e.g., physical inactivity, sedentary behaviour, unhealthy eating, substance use). A logistic regression model examined the associations between these clusters and overweight/obesity status.Results: Four distinct classes were identified: traditional school athletes, inactive screenagers, health conscious, and moderately active substance users. Each behavioural cluster demonstrated a distinct pattern of behaviours, some with a greater number of risk factors than others. Traditional school athletes (odds ratio (OR) 1.15, 95% CI 1.03-1.29), inactive screenagers (OR 1.33; 1.19-1.48), and moderately active substance users (OR 1.27; 1.14-1.43) were all significantly more likely to be overweight/obese compared to the health conscious group.Conclusions: Four distinct subpopulations of youth were identified based on their patterns of health and risk behaviours. The three clusters demonstrating poorer health behaviour were all at an increased risk of being overweight/obese compared to their somewhat healthier peers. Obesity-related public health interventions and health promotion efforts might be more effective if consideration is given to population segments with certain behavioural patterns, targeting subgroups at greatest risk of overweight or obesity. [ABSTRACT FROM AUTHOR]

Although there are many research discussions on the benefits of a virtual community, little research has addressed ways or methodologies by which to sustain these virtual communities. This sustainability depends on the behaviour of the community members, in this case, their trusting behaviour as determined by the particular set of activities in the virtual community. In order for communities to be successful and sustainable, there must be mechanisms to promote trustworthy behaviour amongst members. In this research, we propose a simplistic methodology that can be used to proactively monitor members interactions within any virtual community in term of their trusting behaviours. The purpose of this methodology is to protect the community from anyone within it who demonstrates non-compliant behaviour. The signs of non-compliant behaviour can be identified by examining the performance of agents in a certain number of interactions. The proposed methodology provides a mechanism for monitoring community members' behaviour when carrying out an interaction with other agents (i.e., by keeping track of members' performance in term of trusting behaviour). By continuously monitoring their performance, the performance monitoring report can show the agent's behaviour pattern and determine whether an agent is trustworthy or untrustworthy. [ABSTRACT FROM AUTHOR]

Examining the characteristics of an animal’s lying behaviour, such as frequency and duration of lying bouts, has become increasingly relevant for animal welfare research. Triaxial accelerometers have the advantage of being able to continuously monitor an animal’s standing and lying behaviour without relying on live observations or video recordings. Multiple models of accelerometers have been validated for use in monitoring dairy cattle; however, no units have been validated for use in equines. This study tested Onset Pendant G data loggers attached to the hind limb of each of two mature Standardbred horses for a period of 5 days. Data loggers were set to record their position every 20 s. Horses were monitored via live observations during the day and by video recordings during the night to compare activity against accelerometer data. All lying events occurred overnight (three to five lying bouts per horse per night). Data collected from the loggers was converted and edited using a macro program to calculate the number of bouts and the length of time each animal spent lying down by hour and by day. A paired t-test showed no significant difference between the video observations and the output from the data loggers (P=0.301). The data loggers did not distinguish standing hipshot from standing square. Predictability, sensitivity, and specificity were all >99%. This study has validated the use of Onset Pendant G data loggers to determine the frequency and duration of standing and lying bouts in adult horses when set to sample and register readings at 20 s intervals. [ABSTRACT FROM PUBLISHER]

Purpose -- This study aims to explore the scope of consumers' defective co-creation behaviour in professional service encounters. One of the founding premises of service-dominant logic (Vargo and Lusch, 2004, 2008) is that consumers co-create the value they derive from service encounters. In practice, however, dysfunctional consumer behaviour can obstruct value co-creation. Extant research has not yet investigated consumers' defective co-creation behaviour in highly relational services, such as professional services, that are heavily reliant on co-creation. Design/methodology/approach -- To investigate defective co-creation in professional services, 164 critical incidents were collected from 38 health-care and financial service providers using the critical incident technique within semi-structured, in-depth interviews. Thematic coding was used to identify emergent themes and patterns of consumer behaviour. Findings -- Thematic coding resulted in a comprehensive typology of consumers' defective co-creation behaviour that both confirms the prevalence of previously identified dysfunctional behaviours (e.g. verbal abuse and physical aggression) and identifies two new forms of consumer misbehaviour: underparticipation and overparticipation. Further, these behaviours can vary, escalate and co-occur during service encounters. Originality/value -- Both underparticipation and overparticipation are newly identified forms of defective co-creation that need to be examined within the broader framework of service-dominant logic (SDL). Paper type Research paper [ABSTRACT FROM AUTHOR]

Copyright of Media, Culture & Public Relations is the property of Croatian Communication Association / Hrvatsko Komunikolosko Drustvo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Artisanal fishermen, because of their direct and frequent contact with the aquatic environment, possess a wealth of knowledge about the natural history of the fauna of the region in which they live. This knowledge, both practical and theoretical, has been frequently utilized and integrated into academic research. Taking this into consideration, this study discusses the ethnoecological knowledge of artisanal fishermen from a community in Canavieiras, state of Bahia, Brazil regarding the Guiana dolphin (Sotalia guianensis), a typically costal member of the family Delphinidae that is little studied in this region. To this end, the behaviour of S. guianensis in Canavieiras was recorded over one year and the data obtained were compared with fishermen's reports. A total of 609 hours of behavioural observations of S. guianensis was conducted from a fixed point in alternate morning and afternoon sessions between October 2009 and September 2010. Observations were conducted from a pier (15°40'59"S and 38°56'38"W) situated on the banks of the Pardo River estuary--the region's main river--at 5.5 m above water level. For ethnoecological data collection, semi-structured interviews were carried out with 26 fishermen in May, June and September 2010 and January 2011 in the fishing community of Atalaia. Occasional boat expeditions were made with the fishermen to compare their reports with direct observations of the behaviour of S. guianensis. The results demonstrate that fishermen possess a body of knowledge about S. guianensis that describes in detail the main behavioural aspects of the species. They reported the presence of S. guianensis in the Pardo River estuary throughout the year and its gregarious behaviour. They cited a relationship between the movement of dolphins and tidal cycles, and their presence in the estuary associated with the search for food. In addition, the fishermen reported that numbers of infants in groups were proportional to group size. Behaviours described were compatible with the observations made in situ and with data found in the scientific literature, confirming the importance of traditional knowledge in complementing scientific data. One behaviour mentioned by the fishermen that had no equivalence in the scientific literature was confirmed in situ and, therefore, constitutes the first record for this species. [ABSTRACT FROM AUTHOR]

An attempt is made to develop an integrated model of a watershed to be used as a tool to facilitate debates and consultations between stakeholders and thus to enhance the participatory process. Based on a comprehensive knowledge and expertise of geological, hydrogeological and hydrological features of the catchment basin, as well as on extensive consultation of the stakeholders involved in its water resource management, a conceptual model of the socio-hydrosystem of the middle Hérault valley (100 km2) was proposed. A simulator was then developed using Matlab/Simulink© software to ensure the numerical translation of the conceptual model. This simulator is problem-solving oriented, investigating the hydrosystem responses according to various scenarios, computing groundwater and river flow. Compared to observed data, the first numerical results are convincing regarding the simulated groundwater and river water levels. In that sense, the simulator is seen as a powerful tool to explore cumulative impacts of water-resource management at the catchment scale. [Copyright &y& Elsevier]

Abstract Artisanal fishermen, because of their direct and frequent contact with the aquatic environment, possess a wealth of knowledge about the natural history of the fauna of the region in which they live. This knowledge, both practical and theoretical, has been frequently utilized and integrated into academic research. Taking this into consideration, this study discusses the ethnoecological knowledge of artisanal fishermen from a community in Canavieiras, state of Bahia, Brazil regarding the Guiana dolphin (Sotalia guianensis), a typically costal member of the family Delphinidae that is little studied in this region. To this end, the behaviour of S. guianensis in Canavieiras was recorded over one year and the data obtained were compared with fishermen’s reports. A total of 609 hours of behavioural observations of S. guianensis was conducted from a fixed point in alternate morning and afternoon sessions between October 2009 and September 2010. Observations were conducted from a pier (15°40’59”S and 38°56’38”W) situated on the banks of the Pardo River estuary - the region’s main river - at 5.5 m above water level. For ethnoecological data collection, semi-structured interviews were carried out with 26 fishermen in May, June and September 2010 and January 2011 in the fishing community of Atalaia. Occasional boat expeditions were made with the fishermen to compare their reports with direct observations of the behaviour of S. guianensis. The results demonstrate that fishermen possess a body of knowledge about S. guianensis that describes in detail the main behavioural aspects of the species. They reported the presence of S. guianensis in the Pardo River estuary throughout the year and its gregarious behaviour. They cited a relationship between the movement of dolphins and tidal cycles, and their presence in the estuary associated with the search for food. In addition, the fishermen reported that numbers of infants in groups were proportional to group size. Behaviours described were compatible with the observations made in situ and with data found in the scientific literature, confirming the importance of traditional knowledge in complementing scientific data. One behaviour mentioned by the fishermen that had no equivalence in the scientific literature was confirmed in situ and, therefore, constitutes the first record for this species.