Article
Engineering, Environmental
Xiangsheng Hong, Rui Chen, Le Zhang, Liang Yan, Jiajing Xin, Jiasu Li, Jinmiao Zha
Summary: This study investigated the long-term neurotoxic effects of residual antidepressant citalopram on zebrafish. The results showed that continuous exposure to citalopram led to decreased motor function, learning, and memory in both larval and adult zebrafish. However, the effects were reversible in larval zebrafish after transferring to a clean medium. The study provides insights into the neurotoxic mechanisms of citalopram and its potential environmental and health risks.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Aurelie Muria, Pierre-Yves Musso, Matthias Durrieu, Felipe Ramon Portugal, Brice Ronsin, Michael D. Gordon, Raphael Jeanson, Guillaume Isabel
Summary: Social interactions in fruit flies can enhance memory performance, with individual memory and group memory both playing distinct roles. This social facilitation of memory is triggered by CO2 released by group members and involves a neural circuit including the bilateral ventral projection neuron, alpha'beta' Kenyon cells, and dorsal-paired medial neurons.
Article
Agriculture, Dairy & Animal Science
Tim Huettner, Sandra Dollhaeupl, Ralph Simon, Katrin Baumgartner, Lorenzo von Fersen
Summary: The study showed that the activity budgets of dolphins are significantly affected by individual and external factors, and construction noise can alter dolphin behavior. Behavioral observations are crucial welfare indicators, especially when used in conjunction with other measures, providing important information about the welfare status of animals.
Article
Behavioral Sciences
Giulia Federica Mancini, Enrico Marchetta, Eleonora Riccardi, Viviana Trezza, Maria Morena, Patrizia Campolongo
Summary: Research shows that exposure to single prolonged stress (SPS) leads to long-term emotional alterations and PTSD-like symptoms in male rats, but not in female rats. Additionally, SPS also induces long-term effects on the cued fear extinction in female rats.
BEHAVIOURAL BRAIN RESEARCH
(2021)
Article
Neurosciences
Baiwei Liu, Xinyu Li, Jan Theeuwes, Benchi Wang
Summary: It has been traditionally believed that information retrieved from long-term memory (LTM) needs to be brought back into working memory (WM). However, this study demonstrates that retrieval from LTM is possible even when WM capacity is fully occupied. EEG results indicate that retrieving items from LTM while WM is fully engaged enhances the suppression of alpha oscillations, suggesting alternative mechanisms for accessing LTM when WM is fully occupied.
Article
Agriculture, Dairy & Animal Science
Christina Raudies, Susanne Waiblinger, Christine Arhant
Summary: Long-term shelter dogs are more likely to be older, male, large in size, neutered, and of a dangerous breed, with frequent behavioral problems related to aggression and high arousal. While their physical well-being is not impaired, they show signs of stress and difficulties relaxing in the shelter environment, potentially impacting adoption rates.
Article
Materials Science, Multidisciplinary
Youngjun Park, Min-Kyu Kim, Jang-Sik Lee
Summary: Efficient neuromorphic devices require artificial synapses capable of linear and symmetric synaptic weight updates. To prevent ion dissipation, synaptic transistors are designed to operate by ion injection into the channel layer, with a threshold switch used as an access device. These design features enable stable and long-term synaptic weight modulation, improving data retention and recognition accuracy in artificial neural networks.
JOURNAL OF MATERIALS CHEMISTRY C
(2021)
Article
Psychiatry
Hidekazu Sotoyama, Hisaaki Namba, Yutaro Kobayashi, Taku Hasegawa, Dai Watanabe, Ena Nakatsukasa, Kenji Sakimura, Tomoyuki Furuyashiki, Hiroyuki Nawa
Summary: The study suggests that increased resting-state neural activity of dopaminergic neurons in the VTA is responsible for reduced social interaction in a rat model of schizophrenia. Treatment with risperidone or chemogenetic intervention can improve these deficits.
TRANSLATIONAL PSYCHIATRY
(2021)
Article
Behavioral Sciences
Judit Abdai, Dalma Bartus, Sylvain Kraus, Zsuzsanna Gedai, Beatrix Laczi, Adam Miklosi
Summary: Investigation of individual recognition (IR) is difficult due to the lack of proper control of cues and previous experiences of subjects. The use of artificial agents (Unidentified Moving Objects: UMOs) may provide a better approach for dogs to develop IR. The results suggest that dogs are unable to recognize an individual UMO or human after a short experience but they remember the interaction with the partner in general, even after a long delay.
Article
Cell Biology
Wang-Pao Lee, Meng-Hsuan Chiang, Li-Yun Chang, Wei-Huan Shyu, Tai-Hsiang Chiu, Tsai-Feng Fu, Tony Wu, Chia-Lin Wu
Summary: This study reveals that consolidation of water-reward long-term memory in fruit flies requires the activity of specific subsets of mushroom body output neurons in distinct time windows after training. Furthermore, serotonin signals from dorsal paired medial neurons are crucial for modulating neuronal activity in these specific subsets, highlighting the importance of serotonin in memory consolidation.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Multidisciplinary Sciences
Ana Carolina dos Santos Gauy, Marcela Cesar Bolognesi, Eliane Goncalves-de-Freitas
Summary: This study evaluated the effects of long-term body tactile stimulation (TS) on a group of Nile tilapia fish. The results showed that long-term TS can reduce fights, improve growth rate and feed efficiency, but does not reduce cortisol or androgen levels. This suggests that long-term TS can improve the welfare and productive performance of territorial fish.
SCIENTIFIC REPORTS
(2022)
Article
Agriculture, Dairy & Animal Science
Franziska Hoerner, Arne Lawrenz, Ann-Kathrin Oerke, Dennis W. H. Mueller, Idu Azogu-Sepe, Marco Roller, Karsten Damerau, Angelika Preisfeld
Summary: This study investigated the long-term olfactory memory of two mother-daughter pairs that were separated for 2 and 12 years, respectively. Results showed that all four elephants were able to recognize their separated relatives just by the scent of feces, thereby giving the empirical implication of olfactory memory in African elephants of up to 12 years. These findings confirm the significance of scent for family bonds in African elephants.
Article
Neurosciences
Kelly J. Wallace, Hans A. Hofmann
Summary: Understanding animal decision-making involves dissecting and reconstructing processes across different biological levels and considering the decision-making environment. Although there have been foundational breakthroughs, our understanding of decision-making in social contexts is incomplete, requiring integration of novel approaches and perspectives. Social neuroscience and cognitive ecology have provided orthogonal perspectives on social decision-making, and integrating these fields is crucial for developing comprehensive and testable theories of the brain.
CURRENT OPINION IN NEUROBIOLOGY
(2021)
Article
Mathematics, Interdisciplinary Applications
Hojeong Ryu, Sungjun Kim
Summary: In this paper, a high-performance reservoir computing system is proposed as an alternative to von Neumann computing systems, utilizing a memristor-based hardware design. The system's advantage lies in training only at the readout layer, leading to good energy efficiency and low power consumption.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Biology
Cedric Girard-Buttoz, Patrick J. Tkaczynski, Liran Samuni, Pawel Fedurek, Cristina Gomes, Therese Lohrich, Virgile Manin, Anna Preis, Prince F. Vale, Tobias Deschner, Roman M. Wittig, Catherine Crockford
Summary: The study revealed that maternal loss had short-term impacts on the HPA axis functioning of young chimpanzees in the wild, but these effects were not consistent in mature males, suggesting stronger support for the adaptive calibration model over the biological embedding model.
Review
Behavioral Sciences
Yuki Totani, Hitoshi Aonuma, Akira Oike, Takayuki Watanabe, Dai Hatakeyama, Manabu Sakakibara, Ken Lukowiak, Etsuro Ito
FRONTIERS IN BEHAVIORAL NEUROSCIENCE
(2019)
Article
Multidisciplinary Sciences
Daiki Wakita, Katsushi Kagaya, Hitoshi Aonuma
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2020)
Article
Multidisciplinary Sciences
Kotaro Yasui, Takeshi Kano, Emily M. Standen, Hitoshi Aonuma, Auke J. Ijspeert, Akio Ishiguro
SCIENTIFIC REPORTS
(2019)
Article
Physiology
Hitoshi Aonuma, Maxim Mezheritskiy, Boris Boldyshev, Yuki Totani, Dmitry Vorontsov, Igor Zakharov, Etsuro Ito, Varvara Dyakonova
FRONTIERS IN PHYSIOLOGY
(2020)
Article
Multidisciplinary Sciences
Kazuya Saito, Ricardo Perez-de la Fuente, Koichi Arimoto, Young Ah Seong, Hitoshi Aonuma, Ryuma Niiyama, Zhong You
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2020)
Article
Biology
Hitoshi Aonuma
JOURNAL OF EXPERIMENTAL BIOLOGY
(2020)
Article
Biology
Sebastian Shepherd, Christopher W. Jackson, Suleiman M. Sharkh, Hitoshi Aonuma, Eugenio E. Oliveira, Philip L. Newland
Summary: Research shows that exposure to 50 Hz electromagnetic fields can significantly impact the wingbeat frequency of locusts in a field strength-dependent manner, with effects varying based on the locust's initial frequency. During exposure to 50 Hz EMFs, locusts had their wingbeat frequencies entrained to a 2:5 ratio of the applied EMF cycles. Moreover, exposure to ELF EMFs near normal wingbeat frequency caused locusts to synchronize with the exact frequency of the applied field.
BIOELECTROMAGNETICS
(2021)
Review
Ecology
Ken Sasaki, Yasukazu Okada, Hiroyuki Shimoji, Hitoshi Aonuma, Toru Miura, Kazuki Tsuji
Summary: Researchers have proposed hypotheses to explain the reproductive division of labor in bees, including the ovarian ground plan hypothesis and the split-function hypothesis. Recent studies highlight the crucial role of biogenic amines in regulating reproduction and social behaviors.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2021)
Article
Biology
Anthony E. Scibelli, Daniel P. Caron, Hitoshi Aonuma, Barry A. Trimmer
Summary: Manduca sexta larvae are a valuable model system for studying the neuromechanics of soft body locomotion, using their abdominal prolegs to climb plants with complex muscles originating from different sites. Segmental differences in the number and size of these muscle fiber groups suggest that the prolegs may operate differently along the anterior-posterior axis.
JOURNAL OF EXPERIMENTAL BIOLOGY
(2021)
Article
Multidisciplinary Sciences
Tatsumi Kudo, Hitoshi Aonuma, Eisuke Hasegawa
Summary: Symbiotic relationships are common in nature but incur maintenance costs that reduce reproductive rates. Both host-parasite and host-symbiont relationships involve selfish manipulations, the exact effects of which are not fully understood. Research demonstrates that aphids manipulate ants through dopamine to receive stronger protection, while ants selfishly increase the reproductive rate of aphids for high-quality honeydew.
SCIENTIFIC REPORTS
(2021)
Article
Biology
Hitoshi Aonuma, Keisuke Naniwa, Yasuhiro Sugimoto, Kyohsuke Ohkawara, Katsushi Kagaya
Summary: The trap-jaw ant Odontomachus kuroiwae has a mechanical system that allows its mandibles to quickly close and capture prey or avoid threats. By using X-ray imaging, researchers have identified the structural details of the latch system, which consists of two latch systems and a ball joint.
JOURNAL OF EXPERIMENTAL BIOLOGY
(2023)
Article
Physics, Fluids & Plasmas
Yumino Hayase, Hitoshi Aonuma, Satoshi Takahara, Takahiro Sakaue, Shun'ichi Kaneko, Hiizu Nakanishi
Summary: By using microcomputed tomography (micro-CT), we investigated the internal structure of crumpled papers and found their self-similarity, determining the fractal dimensions of paper sheets, cellophane sheets, and aluminium foils. Through reconstructed 3D data, various power laws for crumpled square sheets were examined to analyze the fractal dimensions of the internal structure.
Article
Robotics
Keisuke Naniwa, Hitoshi Aonuma
Summary: The research findings show that the walking gait of crickets is influenced by signals from the head ganglia and the abdominal nervous system, indicating that the brain plays an inhibitory role in initiating leg movements.
FRONTIERS IN ROBOTICS AND AI
(2021)
Article
Robotics
Keisuke Naniwa, Yasuhiro Sugimoto, Koichi Osuka, Hitoshi Aonuma
JOURNAL OF ROBOTICS AND MECHATRONICS
(2020)
Article
Engineering, Electrical & Electronic
Yasuhiro Sugimoto, Keisuke Naniwa, Hitoshi Aonuma, Koichi Osuka
Article
Automation & Control Systems
Runwei Guan, Shanliang Yao, Lulu Liu, Xiaohui Zhu, Ka Lok Man, Yong Yue, Jeremy Smith, Eng Gee, Yutao Yue
Summary: With the development of Unmanned Surface Vehicles (USVs), the perception of inland waterways has become significant. Traditional RGB cameras cannot work effectively in adverse weather and at night, which has led to the emergence of 4D millimeter-wave radar as a new perception sensor. However, the radar suffers from water-surface clutter and irregular shape of point cloud. To address these issues, this paper proposes a high-performance panoptic perception model called Mask-VRDet, which fuses features of vision and radar using graph neural network.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
Article
Automation & Control Systems
Adrien Le Reun, Kevin Subrin, Anthony Dubois, Sebastien Garnier
Summary: This study aims to evaluate the quality and health of aerospace parts using a high-dimensional robotic cell. By utilizing X-ray Computed Tomography devices, the interior of the parts can be reconstructed and anomalies can be detected. A methodology is proposed to assess both the raw process capability and the improved process capability, with three strategies developed to improve the robot behavior model and calibration.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
Article
Automation & Control Systems
Weiming Ba, Jung-Che Chang, Jing Liu, Xi Wang, Xin Dong, Dragos Axinte
Summary: This paper proposes a hybrid scheme for kinematic control of continuum robots, which avoids errors through tension supervision and accurate piecewise linear approximation. The effectiveness of the controller is verified on different continuum robotic systems.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
Article
Automation & Control Systems
Gabriele Abbate, Alessandro Giusti, Viktor Schmuck, Oya Celiktutan, Antonio Paolillo
Summary: In this study, a learning-based approach is proposed to predict the probability of human users interacting with a robot before the interaction begins. By considering the pose and motion of the user, the approach labels the robot's encounters with humans in a self-supervised manner. The method is validated and deployed in various scenarios, achieving high accuracy in predicting user intentions to interact with the robot.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
Article
Automation & Control Systems
Tiago Cortinhal, Eren Erdal Aksoy
Summary: This work presents a new depth-and semantics-aware conditional generative model, named TITAN-Next, for cross-domain image-to-image translation between LiDAR and camera sensors. The model is able to translate raw LiDAR point clouds to RGB-D camera images by solely relying on semantic scene segments, and it has practical applications in fields like autonomous vehicles.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
Article
Automation & Control Systems
Marios Krestenitis, Emmanuel K. Raptis, Athanasios Ch. Kapoutsis, Konstantinos Ioannidis, Elias B. Kosmatopoulos, Stefanos Vrochidis
Summary: This paper addresses the issue of informative path planning for a UAV used in precision agriculture. By using a non-uniform scanning approach, the time spent in areas with minimal value is reduced, while maintaining high precision in information-dense regions. A novel active sensing and deep learning-based coverage path planning approach is proposed, which adjusts the UAV's speed based on the quantity and confidence level of identified plant classes.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
Article
Automation & Control Systems
Shota Kokubu, Pablo E. Tortos Vinocour, Wenwei Yu
Summary: In this study, a new modular soft actuator was proposed to improve the support performance of soft rehabilitation gloves (SRGs). Objective evaluations and clinical tests were conducted to demonstrate the effectiveness and functionality of the proposed actuator and SRG.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
Article
Automation & Control Systems
Jinliang Zhu, Yuanxi Sun, Jie Xiong, Yiyang Liu, Jia Zheng, Long Bai
Summary: This paper proposes an active prosthetic knee joint with a variable stiffness parallel elastic actuation mechanism. Numerical verifications and practical experiments demonstrate that the mechanism can reduce torque and power, thus reducing energy consumption and improving the endurance of the prosthetic knee joint.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
Article
Automation & Control Systems
Yong You, Jingtao Wu, Yunlong Meng, Dongye Sun, Datong Qin
Summary: A new power-cycling variable transmission (PCVT) is proposed and applied to construction vehicles to improve transmission efficiency. A shift correction strategy is developed based on identifying the changes in construction vehicles' mass and gradient. Simulation results show that the proposed method can correct shift points, improve operation efficiency, and ensure a safer operation process.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
Article
Automation & Control Systems
Shaorui Liu, Wei Tian, Jianxin Shen, Bo Li, Pengcheng Li
Summary: This paper proposes a two-objective optimization technique for multi-robot systems, addressing the issue of balancing productivity and machining performance in high-quality machining tasks.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
Article
Automation & Control Systems
Pengchao Ding, Faben Zhu, Hongbiao Zhu, Gongcheng Wang, Hua Bai, Han Wang, Dongmei Wu, Zhijiang Du, Weidong Wang
Summary: We propose an autonomous approaching scheme for mobile robot traversing obstacle stairwells, which overcomes the restricted field of vision caused by obstacles. The scheme includes stair localization, structural parameter estimation, and optimization of the approaching process.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
Article
Automation & Control Systems
Pedro Azevedo, Vitor Santos
Summary: Accurate detection and tracking of vulnerable road users and traffic objects are vital tasks for autonomous driving and driving assistance systems. This paper proposes a solution for object detection and tracking in an autonomous driving scenario, comparing different object detectors and exploring the deployment on edge devices. The effectiveness of DeepStream technology and different object trackers is assessed using the KITTI tracking dataset.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
Article
Automation & Control Systems
Benjamin Beiter, Divya Srinivasan, Alexander Leonessa
Summary: Powered exoskeletons can significantly reduce physical workload and have great potential impact on future labor practices. To truly assist users in achieving task goals, a shared autonomy control framework is proposed to separate the control objectives of the human and exoskeleton. Positive Power control is introduced for the human-based controller, while 'acceptance' is used as a measure of matching the exoskeleton's control objective to the human's. Both control objectives are implemented in an optimization-based Whole-Body-Control structure. The results verify the effectiveness of the control framework and its potential for improving cooperative control for powered exoskeletons.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
