Search Results (201)

Use of pair housing for preweaning calves has shown positive benefits in terms of health and production, with it also being thought to offer social support in times of stress such as when calves are disbudded. Calf disbudding through thermal cautery is a common procedure, with recognized physiological and behavioral implications. This study’s objective was to utilize continuous monitoring accelerometers to compare the impact of disbudding on the behavior of pair and individually housed calves. Data from an all-year-round dairy herd in the southwest of England were collected via an accelerometer (ABS breeder tag, Genus, Cheshire, UK) fitted to a forelimb of a convenience subset of calves (n = 265) within two weeks of age. Data were collected between March and December 2020 and covered the period 7 days prior to disbudding until 30 days post disbudding. Calves underwent thermal cautery disbudding by farm staff using local anesthesia and a systemic nonsteroidal anti-inflammatory drug. Data from 205 calves (125 pair-housed and 80 individually housed) were included in analysis through generalized estimating equations models. The calf activity (p = 0.98), number of lying bouts (p = 0.40), and lying time per day (p = 0.75) were not associated with the housing treatment of the calves. Calf activity was associated with the day compared to disbudding (p < 0.001), with both housing treatments having decreased activity in the days following disbudding, taking approximately 14 days to return to pretreatment levels. Full article

During the COVID-19 pandemic, vaccination hesitancy (VH) posed an equally unexpected and significant obstacle to the effectiveness of public health interventions. VH has not only the potential to stir up public unrest, but it may also impede the success of entire immunization programs and thus prevent the attainment of herd immunity. This cross-sectional, quantitative, and descriptive study examined VH and vaccination behavior (VB) among 3486 university students in Ghana, using a standardized self-administered questionnaire based on the 5Cs model among other relevant variables. The findings confirm a significant VH and a VB influenced by both sociodemographic factors, such as gender (OR: 1.45; [CI: 1.26–1.67]), study program (OR: 0.55; [CI: 0.47–0.64]), and ethnicity (OR: 1.31; [CI: 1.12–1.52]) and also four of the 5Cs, i.e., Confidence (OR:1.56; [CI: 1.45–1.68]), Constraints (OR: 0.83; [CI: 0.78–0.87]), Calculation (OR:0.85; [CI: 0.78–0.92]), and Collective Responsibility (OR:1.27; [CI: 1.16–1.38]), yet not Complacency, nor religion. Notably, VH was further shaped by previous vaccine experience, information sources, vaccine attributes, stance on vaccine passport, and conspiracy beliefs, with misinformation from unofficial sources playing a key role. The multiple regression models explained 11% to 34% of the variance in the 5Cs, indicating varying degrees of explanatory power for each factor influencing VB and eventually also VH. This study highlights the urgent need for targeted public health interventions, such as integrating vaccine education into university orientation programs, streamlining vaccination processes, and leveraging influencers for trust-building campaigns. Full article

This article used an intersectional feminist analytic framework to theorize the role of anthropomorphizing human–equine interactions in the HERD Institute’s modality for practitioners of Equine-facilitated learning and equine-facilitated psychotherapy (EFL/P). EFL/P is a traditionally human-centered activity which leverages anthropomorphizing equine behavior and emotions to better understand human selves and dynamics by assigning human emotions to equids and human–equine interactions. Intersectional feminist theories were used to interpret 11 in-depth interviews with EFL/P practitioners. The data analysis identified anthropomorphizing behaviors which were used as the foundation for the creation of two vignettes. The vignettes present different ethical dilemmas of anthropomorphizing that may impact equine welfare in EFL/P explicitly discussed by interlocutors. One vignette examines interpreting and assigning human injustices within equine behavior (e.g., resource guarding) and the second engages with human interpretations of equine choice versus consent in an EFL/P session. The vignettes demonstrate how anthropomorphizing may be used to develop an understanding of human dynamics or equine welfare. The researchers suggest that the use of critical reflexivity when anthropomorphizing may increase attention toward equine welfare in EFL/P settings. As such, it may be beneficial to consider the development and refinement of EFL/P training/certification and continuing education. Full article

We study investors’ information acquisition strategies under arbitrary and discrete sets of information precision and derive conditions for the existence of equilibria. When investors face information choice from general precision sets, despite their homogeneity, the information market can exhibit asymmetric corner equilibria, where some investors acquire low-precision information and others acquire high-precision information. Conversely, in the case of high-precision sets, there is a symmetric and unique interior equilibrium where all informed agents opt for the same precision level. Furthermore, the impact of information technologies on price informativeness is uncertain: an improvement in information quality tends to reduce price informativeness due to more investors’ free ride on prices, whereas a reduction in information costs enhances price informativeness by encouraging more investors to acquire information. Our analysis has implications on the prevailing trend of robo-advising and the herding behavior of analysts. Full article

After milking, dairy cows seek the nearest water trough, but access depends on competitive success. This study descriptively characterized individual drinking behavior after milking in association with physiological traits and competitive success in a herd of 42 lactating Brown Swiss cows held in a free-range barn. Cows were milked and fed twice a day, and the drinking behavior was video recorded after leaving the milking parlor during 22 milkings in July 2022. Water consumption and 33 behavioral parameters were recorded. Competitive success was defined by an index calculation. Milk production traits correlated positively with the number of trough visits, the total duration of drinking, the duration of water intake and drinking breaks, and the water volume consumed. High-yielding dairy cows exhibited twice as many agonistic interactions as low-yielding ones, suggesting that performance-based grouping increases aggressive interactions. Further, subtle dominance interactions, such as “staring”, comprise a major part of confrontations at the trough. Cows with low competitive success more frequently pursued other activities before they drank and were more frequently interrupted by agonistic interactions. Considering body and performance traits in association with individual drinking patterns in evaluating on-farm water management seemed valuable, therefore, a review of current recommendations for water supply is suggested. Full article

In this study, we examine the herding behavior in MENA stock markets in response to global geopolitical risk by using daily data, ranging from 4 January 2011 to 31 December 2023, on stock-listed companies in some MENA countries (Egypt, Jordan, Lebanon, Morocco, Saudi Arabia, and Tunisia) and the daily geopolitical risk index. In our analysis, we consider that investors’ behavior varies depending on the global economic and political period conditions. We use quantile regression analysis to investigate the effect of asymmetry on herding behavior among investors during bearish and bullish market conditions. The results show that herding behavior is evident in all stock markets, except for the Lebanon market, at a lower 5% quantile during down-market periods. A significant estimated coefficient of geopolitical risk was detected on the dispersion of stock returns, except for the stock markets of Morocco and Saudi Arabia. We found that a high level of geopolitical risk contributes to an increase in dispersion in the Lebanese stock market whereas it is associated with a high probability of increasing herding in the Jordanian and Tunisian stock markets. This paper contributes to the existing literature by explaining the impact of geopolitical risks on herding behavior in six MENA countries. This can be considered to be an empirical contribution as we propose to introduce the effect of geopolitical risks on the basis model of herding. Our findings can have significant implications for investors and policymakers in financial markets. Full article

Trypanosoma vivax infection is an emerging condition that causes damage and mortality among cattle and is transmitted by mechanical vectors or contaminated fomites. This disease has been spreading in southern Brazil, causing anemia, weight loss, diarrhea, abortion, and infertility; however, its behavior and host–parasite relationships are not yet fully understood. To clarify this issue, animals that presented clinical signs were subjected to an immunochromatographic screening test. An indirect immunofluorescence test was then performed on samples collected before treatment (the gold standard test), which showed that in the herd of 20 cows, we had 14 seropositive for T. vivax. Blood samples were collected before and after treatment to study the effects of the disease and treatment, with the cows divided into two groups: infected and uninfected. Cows were evaluated for hematologic, biochemical, and antioxidant responses, comparing them with uninfected and infected animals, as well as pre- and post-treatment (isometamidium chloride—1 mg/kg body weight [BW]). There was no difference (p > 0.05) between groups in milk production and feed intake; however, ten days after treatment, there was an increase of 1.72 kg of milk in cows diagnosed as infected with T. vivax. Seropositive cows had lower erythrocyte counts, hemoglobin concentrations, hematocrit, platelet counts, and lymphocyte and granulocyte counts. In seropositive cows, the higher total protein concentration is due to increased globulins, which the protein profile by electrophoresis showed to be related to higher levels of immunoglobulins (IgA and other heavy-chain immunoglobulins), ceruloplasmin, haptoglobin, ferritin, C-reactive protein; associated with lower transferrin levels. The activity of the enzymes aspartate aminotransferase, gamma-glutamyl transferase, cholinesterases, and creatine kinase were compared in seronegative and seropositive cows for T. vivax. Lower serum calcium levels were observed in seropositive cows. Cows diagnosed with trypanosomosis presented high levels of reactive oxygen species, lipid peroxidation, protein oxidation, nitrite/nitrate activity, superoxide dismutase, and glutathione peroxidase. The enzymes catalase and glutathione S-transferase presented lower activity in the blood of seropositive cows compared to the control on the day of diagnosis, which was no longer observed ten days after treatment. The animals exhibited hypogalactia, anemia, thrombocytopenia, leukopenia, and acute phase response accompanied by liver and muscle tissue damage and oxidative stress, demonstrating the effect of T. vivax infection in naturally infected Jersey cows. Full article

The objective of the study was to examine the relationship between rumination time and various parameters related to eating and locomotion, including other chews, eating chews, eating time, drinking gulps, bolus counts, chews per minute, activity, and activity change, utilizing RumiWatch technology. The RumiWatch noseband sensor (RWS; ITIN + HOCH GmbH, Feeding Technology, Liestal, Switzerland) was utilized to record time and frequency related to rumination, eating, and movement behaviors. The RumiWatch system (RWS) was put into operation from 1 June 2023 to 30 June 2023. The first two weeks, from 1 June to 14 June 2023 at 7 a.m., served as a period for the cows to acclimate to the RWS, acting as an adjustment phase. Monitoring activities with the RWS commenced on 7 a.m. and lasted until the end of the month, 30 June 2023, with data being recorded daily on an hourly basis. Our findings indicate a significant negative correlation between rumination time and other activity time (r = −0.50), which represents the duration cows allocate to behaviors outside of eating, chewing cud, or distinct movement activities. Additionally, a significant negative correlation was observed between rumination time and eating time (r = −0.54). Furthermore, we observed strong positive correlations with rumination chews (r = 0.84) and bolus (r = 0.75). A weaker positive correlation was found with chews per minute (r = 0.29), while no significant correlation was detected with drinking gulps (r = 0.10). Based on our findings, we recommend the implementation of the RumiWatch System for monitoring rumination and feeding behaviors in lactating dairy cattle. This technology provides valuable insights into cow health and welfare, enabling early detection of potential health issues and improving herd management practices. Full article

This study evaluated the impact of estrus on changes in rumination over 24 h using data from the DataFlow™ II program and the Heatime RuminAct device, encompassing 634 estrous cycles of dairy cows. During the reference period, three days before estrus, cows spent an average of 511 min per day ruminating. One day before estrus, the total rumination time decreased to 503 min per day. During estrus, rumination time further decreased to 481 min, reflecting a reduction of 31 min per day (6.2%) compared to the pre-estrus reference period. After estrus ended, we observed an immediate increase in rumination time, with post-estrus levels comparable to pre-estrus values. Using a linear model, we assessed the influence of the herd and individual cows on changes in rumination time during estrus compared to the reference period. Our findings confirm the notable impact of estrus on rumination in dairy cows. The reduction in rumination time was most pronounced in heifers (−66 min, −13%), followed by first-lactation cows (−36 min, −7%) and multiparous cows (−16 min, −4%). The influence of the lactation stage was significant, with cows in early lactation showing a greater reduction in rumination compared to cows in later stages. Additionally, high-milk-yielding cows exhibited slightly lower rumination times during estrus, reflecting the interplay between diet composition and energy demands. These results underscore the role of parity, lactation stage, milk yield, and individual differences in shaping rumination behavior during estrus. Behavior-monitoring systems proved valuable for detecting estrus and managing reproduction in dairy herds. Our results showed a notable 6.2% reduction in rumination during estrus, highlighting its potential as a reliable indicator in regions like Slovakia, where economic challenges impact dairy farming sustainability. Full article

Acoustic monitoring facilitates the detailed study of herbivore grazing by generating a timeline of sound bursts associated with jaw movements (JMs) that perform bite or chew actions. The unclassified stream of JM events was used here in an observational study to explore the notion of “grazing time”. Working with shepherded goat herds in a wooded landscape, a horn-based acoustic sensor with a vibration-type microphone was deployed on a volunteer animal along each of 12 foraging routes. The software-generated timeline of unclassified JMs contained a total of 334,582 events. After excluding rumination bouts, minutely JM rates showed a broad, non-normal distribution, with an overall mean of 61 JM min⁻¹. The frequency distribution of inter-JM interval values scaled logarithmically, with a peak in the region of 0.43 s representing a baseline interval that generates the unconstrained, more-or-less regular, rhythm of jaw movement (≈140 JM min⁻¹). This rhythm was punctuated by interruptions, for which duration scaled logarithmically, and which were primarily related to the search phase of the intake process. The empirical time accumulation curve shows the contribution of the inter-JM interval to the total foraging time and provides a penetrating profile of how the animal interacted with the foraging environment. The sum total of time along a foraging route spent at a near-potential JM rate was only ≈1 h, whereas sub-potential rates containing intervals as long as ≈30 s accounted for the bulk of the foraging route. The dimensionless behavioral grazing intensity was defined as the product of the number of ingestive JMs performed and the baseline interval, divided by the duration of the foraging route (excluding rumination). Values were mostly <0.5 for the foraging routes examined. This has implications for how animal presence should be translated to grazing pressure and for how long animals need to forage to meet their nutritional requirements. Full article

As the human population continues to rise, so does the consumption of animal proteins and products. To meet this demand, animal agriculture has intensified. Simultaneously, there are increased public concerns related to improving calf and cattle welfare to ensure ethical and sustainable livestock production. To meet these expectations, it is essential to maintain high standards of cattle (Bos taurus and Bos indicus) welfare. The use of animal-based welfare indicators is critical when assessing and developing assessments for animal welfare. A review of calf and cattle animal-based individual and herd health indicators in the scientific and grey literature was conducted. Indicators were initially grouped into the categories of behavioral, physiological, or physical indicators and further analyzed to determine potential affective states, ease of training, cost, special equipment, time, and current use as herd health indicators. The indicators identified in this review have the potential to inform future research priorities, improve animal welfare assessment, and support uplift in animal welfare in cattle production and research to better meet societal expectations of animal care and use. Full article

Collective migration underlies key developmental and disease processes in vertebrates. Mathematical models describing collective migration can shed light on emergent patterns arising from simple mechanisms. In this paper, a mathematical model for collective migration is given for arbitrary numbers and types of individuals using principles outlined as a set of assumptions, such as the assumed preference for individuals to be “close but not too close" to others. The model is then specified to the case of two species with arbitrary numbers of individuals in each species. A particular form of signal response is used that may be parameterized based on experiments involving two or three agents. In its simplest form, the model describes two species of individuals that emit distinct signals, distinguishes between them, and exhibits responses unique to the type by moving according to signal gradients in various planar regions, a situation described as "mixotaxis". Beyond this simple form, initial conditions and boundary conditions are altered to simulate specific, additional in vitro as well as in vivo dynamics. The behaviors that were specifically accounted for include motility, directed migration, and a functional response to a signal. Ultimately, the paper’s results highlight the ability of a single framework for signal and response to account for patterns seen in multi-species systems, in particular the emergent self-organization seen in the embryonic development of placodal cells, which display chase-and-run behavior, flocking behavior, herding behavior, and the splitting of a herd, depending on initial conditions. Numerical experiments focus around the primary example of neural crest and placodal cell “chase-and-run” and “flocking” behaviors; the model reproduces the separation of placodal cells into distinct clumps, as described in the literature for neural crest and placodal cell development. This model was developed to describe a heterogeneous environment and can be expanded to capture other biological systems with one or more distinct species. Full article

Daily behavioral analysis of group-housed pigs provides critical insights into early warning systems for pig health issues and animal welfare in smart pig farming. In this study, our main objective was to develop an automated method for monitoring and analyzing the behavior of group-reared pigs to detect health problems and improve animal welfare promptly. We have developed the method named Pig-ByteTrack. Our approach addresses target detection, Multi-Object Tracking (MOT), and behavioral time computation for each pig. The YOLOX-X detection model is employed for pig detection and behavior recognition, followed by Pig-ByteTrack for tracking behavioral information. In 1 min videos, the Pig-ByteTrack algorithm achieved Higher Order Tracking Accuracy (HOTA) of 72.9%, Multi-Object Tracking Accuracy (MOTA) of 91.7%, identification F1 Score (IDF1) of 89.0%, and ID switches (IDs) of 41. Compared with ByteTrack and TransTrack, the Pig-ByteTrack achieved significant improvements in HOTA, IDF1, MOTA, and IDs. In 10 min videos, the Pig-ByteTrack achieved the results with 59.3% of HOTA, 89.6% of MOTA, 53.0% of IDF1, and 198 of IDs, respectively. Experiments on video datasets demonstrate the method’s efficacy in behavior recognition and tracking, offering technical support for health and welfare monitoring of pig herds. Full article

Attention to environmental, social, and governance (ESG) investing has grown in recent years. Even after the SARS-CoV-2 (COVID-19) global pandemic, there has been a rise in financial instruments that are structured according to certain prescribed “sustainable finance” objectives. From a risk management perspective, and as we continue to see a rise in inflows into such instruments, it is important to appreciate that ESG markets will have a growing influence on our financial system and its development. In light of this, and using a sample of some of the most common and popular US-based ESG index funds, this study explores the extent to which herding behaviors are present in such markets. From a regulatory point of view, such behaviors are important to identify, given that they can lead to excess price volatility, bubbles, and other such market-destabilizing phenomena. In addition, this study builds a framework for exploring whether Twitter-based economic uncertainty, which is arguably a forward-looking indicator of investors’ expectations, can exacerbate herding behaviors in ESG markets. Overall, this study shows the following: (i) herding behaviors are present in ESG markets; (ii) rises in Twitter economic uncertainty can potentially exacerbate such herding; (iii) although ESG funds, like traditional asset classes, generally show a negative risk–return tradeoff, this can be driven by changes in Twitter economic uncertainty. Full article

It is well-believed that most trading activities tend to herd. Herding is an important topic in finance. It implies a violation of efficient markets and hence, suggests possibly predictable trading profits. However, it is hard to test such a hypothesis using aggregated data (as in the literature). In this paper, we obtain a proprietary data set that contains detailed trading information, and as a result, for the first time it allows us to validate this hypothesis. The data set contains all trades transacted in 2019 by all the brokers/dealers across all locations in Taiwan of all the equities (stocks, warrants, and ETFs). Given such data, in this paper, we use swarm intelligence to identify such herding behavior. In particular, we use two versions of swarm intelligence—Boids and PSO (particle swarm optimization)—to study the herding behavior. Our results indicate weak swarm among brokers/dealers. Full article