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Habitat Composition and Preference by the Malabar Slender Loris (Loris lydekkerianus malabaricus) in the Western Ghats, India
Smitha D. Gnanaolivu,
Joseph J Erinjery,
Marco Campera,
Mewa Singh
Posted: 29 April 2025
Analysis of Psychological and Sleep Quality Characteristics of Young and Adult Para-Athletes with Cerebral Palsy During Competitive Period
Fernando Muñoz-Hinrichsen,
Felipe Herrera-Miranda,
Sonny Riquelme,
Matías Henríquez,
Joel Álvarez-Ruf,
María Isabel Cornejo,
Luis Felipe Castelli Correia Campos
Posted: 16 April 2025
Long-Term Deep Phenotyping of Behavioral Traits of Mental Disorders in Mice Using Homecage Monitoring
Benjamin Jurek,
Patrick Schlegel,
Bartosz Zglinicki,
London Aman,
Veronika Kovarova,
Sowmya Narayan,
Rebecca Florea,
Patrycja Ziuzia,
Mathias Schmidt,
Michal Slezak
Posted: 07 April 2025
Free Will as an Emergent Property of Intelligent Life
Brian Johnson
Posted: 31 March 2025
From Gaze to Game: A Systematic Review of Eye Tracking Applications in Basketball
Michela Alemanno,
Ilaria Di Pompeo,
Martina Marcaccio,
Daniele Canini,
Giuseppe Curcio,
Simone Migliore
Posted: 27 March 2025
Gender-Specific Effects of Cognitive Functions in Elite Judoka
Georgiy Korobeynikov,
Markus Raab,
Leisa Korobeinikova,
Haorui Xin,
Oleksandr Pryimakov,
Ioannis Barbas,
Maria Bulatova,
Andrii Chernozub,
Olga Goncharova,
Vladimir Raximov
Posted: 24 March 2025
Multi-Sensor Integration and Machine Learning for High-Resolution Classification of Herbivore Foraging Behavior
Bashiri Iddy Muzzo,
Kelvyn Bladen,
Andres Perea,
Shelemia Nyamuryekung'e,
Juan J. Villalba
The study classified cows' foraging behaviors using machine learning (ML) models evaluated through Random Test-Split (RTS) and Cross-Validation (CV). Models in-cluded Perceptron, Logistic Regression, Support Vector Machine, K-Nearest Neighbors, Random Forest (RF), and XGBoost (XGB). These models classified activity states (Active vs. Static), foraging behaviors (Grazing (GR), Resting (RE), Walking (W), Ruminating (RU)), posture states (Standing up (SU) vs. Lying down (LD)), and activity-by-posture combinations (RU_SU, RU_LD, RE_SU, RE_LD). XGB achieved the highest accuracy for state classification (74.5% RTS, 74.2% CV) and foraging behavior (69.4% CV). RF out-performed XGB in other classifications, including GR, RE, and RU (62.9% CV vs. 56.4% RTS), posture (83.9% CV vs. 79.4% RTS), and activity-by-posture (58.8% CV vs. 56.4% RTS). Key predictors varied: Speed and Actindex were crucial for GR and W when in-creasing and for RE and RU when decreasing. X low values were linked to RE_SU and RU_SU, while X and Z influenced RE_LD more. RTS showed higher accuracy in be-havioral state and general foraging classification. These results emphasize CV in RF's reliability in managing complex behavioral patterns and the importance of continuous recording devices and movement metrics to monitor cattle behavior accurately.
The study classified cows' foraging behaviors using machine learning (ML) models evaluated through Random Test-Split (RTS) and Cross-Validation (CV). Models in-cluded Perceptron, Logistic Regression, Support Vector Machine, K-Nearest Neighbors, Random Forest (RF), and XGBoost (XGB). These models classified activity states (Active vs. Static), foraging behaviors (Grazing (GR), Resting (RE), Walking (W), Ruminating (RU)), posture states (Standing up (SU) vs. Lying down (LD)), and activity-by-posture combinations (RU_SU, RU_LD, RE_SU, RE_LD). XGB achieved the highest accuracy for state classification (74.5% RTS, 74.2% CV) and foraging behavior (69.4% CV). RF out-performed XGB in other classifications, including GR, RE, and RU (62.9% CV vs. 56.4% RTS), posture (83.9% CV vs. 79.4% RTS), and activity-by-posture (58.8% CV vs. 56.4% RTS). Key predictors varied: Speed and Actindex were crucial for GR and W when in-creasing and for RE and RU when decreasing. X low values were linked to RE_SU and RU_SU, while X and Z influenced RE_LD more. RTS showed higher accuracy in be-havioral state and general foraging classification. These results emphasize CV in RF's reliability in managing complex behavioral patterns and the importance of continuous recording devices and movement metrics to monitor cattle behavior accurately.
Posted: 10 March 2025
Serotonin Transporter Gene Polymorphisms Predict Adherence to Weight Loss Programs Independently of Obesity-Related Genes
Mana Yatsuda,
Miyako Furou,
Keiko Kamachi,
Kaori Sakamoto,
Kumiko Shoji,
Osamu Ishihara,
Yasuo Kagawa
Posted: 03 March 2025
Thermal Variation Regulates the Trade-Off Between Pre- and Post-Hatching Investment in a Burying Beetle
Donghui Ma,
Long Ma,
Jan Komdeur
Posted: 03 March 2025
Effects of Forage-to-Concentrate Ratio on Abnormal Stereotypic Behavior in Lambs and Goat Kids
Cemil Tölü
Posted: 13 February 2025
A Computational Analysis Based on Automatic Digitization of Movement Tracks Reveals the Altered Diurnal Behavior of the Western Flower Thrips, Frankliniella occidentalis, Suppressed in PKG Expression
Chunlei Xia,
Gahyeon Jin,
Falguni Khan,
Hye-Won Kim,
Yong-Hyeok Jang,
Nam Jung,
Yonggyun Kim,
Tae-Soo Chon
Posted: 07 February 2025
Movement and Dispersion Parameters Characterizing the Group Behavior of Drosophila melanogaster in Micro-Areas of an Observation Arena
Nam Jung,
Chunlei Xia,
Yong-Hyeok Jang,
Hye-Won Kim,
Yun Doo Chung,
Tae-Soo Chon
Posted: 05 February 2025
Assessing UAVs Equipped with Thermal Camera as a Novel Tool for Studying Habitat Related Behaviour of Mesopredators
Katrine Møller-Lassesen,
Esther Magdalene Ellersgaard Enevoldsen,
Cino Pertoldi,
Sussie Pagh
Posted: 04 February 2025
Zebrafish (Danio rerio) Prefer Undisturbed Shoals Over Shoals Exposed to the Synthetic Alarm Substance Hypoxanthine-3N-oxide (C5H4N4O2)
Andrew Velkey,
Kaitlyn Kinslow,
Megan Bowers,
Ethan Hoffman,
Jamie Martin,
Bandhavi Surisetty
As an anti-predation behavior, shoaling enhances survival among prey species by reducing individual predation risk through mechanisms like the dilution effect and collective vigilance. Zebrafish – a highly social and genetically tractable species – are valuable for studying these behaviors. The present study examined zebrafish social preferences in a 3-chamber open-tank free-swim task, assessing whether visual cues alone could distinguish between an intact and an alarmed shoal exposed to the synthetic alarm substance H3NO. Subjects were allowed to freely associate with either shoal while their behavior was recorded and analyzed. Results revealed a significant preference for proximity to the intact shoal, indicating zebrafish’s ability to visually discern threat levels. Subjects spent nearly twice as much time in the zone near the intact shoal, with reduced freezing and faster movement velocities compared to the alarmed shoal zone. Males exhibited more freezing behavior than females, consistent with sex-specific strategies in threat response. These findings underscore zebrafish’s reliance on visual cues for social responding under predatory threat and highlight sex-based differences in threat perception. This research expands the understanding of zebrafish social dynamics and provides a robust framework for future exploration of the neural mechanisms underlying social behavior and threat assessment in zebrafish.
As an anti-predation behavior, shoaling enhances survival among prey species by reducing individual predation risk through mechanisms like the dilution effect and collective vigilance. Zebrafish – a highly social and genetically tractable species – are valuable for studying these behaviors. The present study examined zebrafish social preferences in a 3-chamber open-tank free-swim task, assessing whether visual cues alone could distinguish between an intact and an alarmed shoal exposed to the synthetic alarm substance H3NO. Subjects were allowed to freely associate with either shoal while their behavior was recorded and analyzed. Results revealed a significant preference for proximity to the intact shoal, indicating zebrafish’s ability to visually discern threat levels. Subjects spent nearly twice as much time in the zone near the intact shoal, with reduced freezing and faster movement velocities compared to the alarmed shoal zone. Males exhibited more freezing behavior than females, consistent with sex-specific strategies in threat response. These findings underscore zebrafish’s reliance on visual cues for social responding under predatory threat and highlight sex-based differences in threat perception. This research expands the understanding of zebrafish social dynamics and provides a robust framework for future exploration of the neural mechanisms underlying social behavior and threat assessment in zebrafish.
Posted: 03 February 2025
Behaviors of Shelter Dogs During Harnessing and Leash Walks: Prevalence, Demographics, and Length of Stay
Betty McGuire,
Bailey Guy,
Miles Garland,
Alexandra Jackson
Posted: 03 February 2025
Unusual High-Impact Frustration Experience – UNHIFE
Juliano Flavio Rodrigues,
Gerardo Maria de Araújo Filho
Existential experiences significantly influence human emotions in various ways. The dichotomy between pleasure and discomfort necessitates particular attention to adverse experiences within a psychopathological framework. Displeasure has been an intrinsic element of human existence from birth. Pain serves as a catalyst for growth, and intellectual development is inherently linked to the acquisition of problem-solving skills. However, the processing of displeasure is not always straightforward. Among the multitude of challenging existential circumstances, frustrations are particularly salient. These frustrations frequently arise throughout the human experience, with many being resolved swiftly and without considerable discomfort. Conversely, certain disappointments may necessitate years of psychological processing. Some of these frustrations exert a profound emotional impact, potentially precipitating mental disorders such as anxiety and depression. High-impact frustrations, often related to commonplace situations such as unemployment and divorce, can have even greater consequences when they engender profound disappointments. Such extraordinary high-impact frustrations demand extensive deconstruction of expectations and can severely affect mental health. A thorough understanding of this phenomenon, termed UNHIFE (high-impact frustration experience), may elucidate the phenomenology associated with numerous neuropsychiatric disorders.
Existential experiences significantly influence human emotions in various ways. The dichotomy between pleasure and discomfort necessitates particular attention to adverse experiences within a psychopathological framework. Displeasure has been an intrinsic element of human existence from birth. Pain serves as a catalyst for growth, and intellectual development is inherently linked to the acquisition of problem-solving skills. However, the processing of displeasure is not always straightforward. Among the multitude of challenging existential circumstances, frustrations are particularly salient. These frustrations frequently arise throughout the human experience, with many being resolved swiftly and without considerable discomfort. Conversely, certain disappointments may necessitate years of psychological processing. Some of these frustrations exert a profound emotional impact, potentially precipitating mental disorders such as anxiety and depression. High-impact frustrations, often related to commonplace situations such as unemployment and divorce, can have even greater consequences when they engender profound disappointments. Such extraordinary high-impact frustrations demand extensive deconstruction of expectations and can severely affect mental health. A thorough understanding of this phenomenon, termed UNHIFE (high-impact frustration experience), may elucidate the phenomenology associated with numerous neuropsychiatric disorders.
Posted: 22 January 2025
Differential Gene Expression in the Prefrontal Cortex and Hippocampus Following Long-Access Methamphetamine Self-Administration in Male Rats
Christopher L Robison,
Victoria Madore,
Nicole Cova,
Mona Karbalivand,
Sherine F Elsawa,
Sergios Charntikov
Posted: 14 January 2025
How to Solve the Problem of Inherited Behavior Patterns and Increase the Sustainability of Technological Civilization
Olev Vinn
Posted: 13 January 2025
Race, Genes, Evolution, and IQ: The Key Datasets and Arguments
Brian Johnson
Posted: 06 January 2025
Associative Memory and Memory Complaints in People with First Episode of Depression: Use of the Face-Name Associative Memory Exam (FNAME)
José Ángel Rubiño,
Aida Martín-Reina,
M. Cristina Nicolau,
Francesca Canellas,
Juan Francisco Francisco Flores-Vazquez,
Stefanie Enriquez-Geppert,
Pilar Andrés
Posted: 28 November 2024
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