Article
Multidisciplinary Sciences
Amigale Patoine, Laura Mikula, Sergio Mejia-Romero, Jesse Michaels, Oceane Keruzore, Romain Chaumillon, Delphine Bernardin, Jocelyn Faubert
Summary: The study found that under conditions of high cognitive load, reduced visual acuity can negatively impact driving behavior, especially when below the legal vision standard for obtaining a driver's license in Canada. Additionally, a dual task effect was observed which led to unstable driving behavior.
Article
Automation & Control Systems
Yue Wang, Xiang Li
Summary: This article introduces a needs-based configurator mechanism that leverages online product-review text from social media. It utilizes transfer learning to adjust the source model to the target customer needs-specifications mapping, resulting in improved configurator performance.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Ecology
Ellen L. White, Holger Klinck, Jonathan M. Bull, Paul R. White, Denise Risch
Summary: This study demonstrates the transferability of pre-trained CNN models to new acoustic environments. By fine-tuning the models with limited site-specific data, the performance of the CNN in the new environment is significantly improved.
ECOLOGICAL INFORMATICS
(2023)
Article
Social Sciences, Interdisciplinary
Chang-ming Hsieh
Summary: The study found that not all life domains are perceived as equally important, and a small number of domain-specific satisfaction variables account for a large portion of the variance in SWB. This questions the plausibility of the equal-weight, equal-importance assumption.
APPLIED RESEARCH IN QUALITY OF LIFE
(2022)
Article
Neurosciences
Hayford Perry Fordson, Xiaofen Xing, Kailing Guo, Xiangmin Xu
Summary: This article proposes a brain region aware domain adaptation (BRADA) algorithm to address the individual differences among subjects and distribution mismatch across databases in affective brain-computer interfaces. The experimental results demonstrate that the proposed transfer learning method can improve emotion recognition tasks.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Psychiatry
Ahmed Waqas, Atif Rahman
Summary: The study quantified the heterogeneity of perinatal depression (PND) and provided evidence for the effectiveness of the Thinking Healthy Programme (THP) across multiple subtypes of PND. Four different clusters of PND were identified, with the THP intervention showing positive outcomes for all clinical phenotypes of PND.
FRONTIERS IN PSYCHIATRY
(2021)
Article
Behavioral Sciences
Anuradha Batabyal, David Chau, Veronica Rivi, Ken Lukowiak
Summary: The study found that prey respond differently to predation risk based on past experience and the risk environment. Pond snails in the high-risk group showed poor learning memory formation, but when transferred to a no-risk environment, they were able to form configural learning memory again. Meanwhile, the high-risk group of snails did not show any changes in their antipredator response during social interactions. The results suggest that prey response to predation threat is more based on decision making rather than sensory adaptation.
Article
Linguistics
Rachel Ostrand, Eleanor Chodroff
Summary: Alignment occurs at different levels within a given dialogue, with participants showing alignment on some features but not others. It is not a single phenomenon, but rather a constellation of loosely-related effects guided by communicative or social factors.
JOURNAL OF PHONETICS
(2021)
Review
Computer Science, Information Systems
Praveen Joshi, Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully
Summary: In recent years, deep learning models have achieved remarkable success in tasks like speech recognition, image processing, and natural language understanding. However, computing DL training and inference remains a challenge, with issues like high latency and privacy concerns. To address these challenges, efforts have been made to push DL processing to edge servers, giving rise to the concept of edge intelligence (EI). This survey paper focuses on the all in-edge level of EI, where DL training and deployment are performed solely by edge servers, and discusses architectures, enabling technologies, model adaptation techniques, performance metrics, and research challenges in this area.
Article
Education & Educational Research
Jukka Vetoniemi, Eija Karna
Summary: The study examines the social participation of four SEN pupils in a mainstream school, finding that their perceptions of social participation are closely linked to their experiences in the learning environment, and their personal strengths protect them from social segregation. To create inclusive schools, it is crucial to actively improve learning environments and promote social participation of all students.
INTERNATIONAL JOURNAL OF INCLUSIVE EDUCATION
(2021)
Article
Computer Science, Artificial Intelligence
Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao
Summary: This study proposes a novel metric-based meta-learning framework called ICRL-Net for few-shot visual recognition. It addresses the biased class representation issue by using an adaptive instance revaluing network (AIRN) to generate class representations and incorporates improved bilinear instance representation and two novel structural losses to refine the class representation. Experimental results demonstrate the superiority of ICRL-Net on commonly adopted few-shot benchmarks.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Education & Educational Research
Shawn Myszka, Tyler Yearby, Keith Davids
Summary: The purpose of this article is to explore the relevance and value of Bruce Lee's ideas, which influenced his coaching philosophy, in the context of contemporary discussions in movement skill acquisition. By examining examples and concepts from Lee's interpretation of martial arts, Jeet Kune Do (JKD), the article argues that his approach to coaching aligns with ecological dynamics framework. Bruce Lee and JKD emphasize the importance of adaptability, which remains applicable to athletes seeking to improve their skills in sports.
SPORT EDUCATION AND SOCIETY
(2023)
Article
Education & Educational Research
Dennis Shirley, Andy Hargreaves
Summary: Social-emotional learning programs are popular tools used by schools to help students manage emotions and build relationships, but the authors argue that they are insufficient for today's challenges. They suggest focusing on enhancing students' well-being instead, addressing root causes of distress through a prosperity agenda, ethical technology use, and the restorative power of nature.
Article
Education & Educational Research
Saliou Sene
Summary: The education system in Senegal has undergone significant changes towards inclusivity, adopting international policies and recognising individual student needs. The article highlights the need for tailored physical settings, improved communication about disabilities in local communities, and changes in teaching and learning practices. The development of teaching staff is also called for, emphasizing pedagogical responsibility and ethically-based care.
EUROPEAN JOURNAL OF EDUCATION
(2023)
Article
Computer Science, Information Systems
Hongseok Choi, Hyunju Lee
Summary: In order to improve the performance of deep learning in low-resource settings, researchers have explored model redesign or additional data usage. However, little discussion has been conducted on utilizing small amounts of labeled samples, which should be considered before applying additional data or redesigning models. This study focuses on a low-resource setting with limited labeled samples and investigates approaches without additional data or model redesigns. Several aspects, such as training-validation splitting, early stopping, and weight initialization, are explored. By conducting extensive experiments on six sentence classification datasets, the authors propose an integrated method that consistently outperforms competitive approaches and can be considered as the initial step in low-resource settings. This study provides valuable empirical knowledge for dealing with low-resource data in the future. The code for the proposed method is publicly available.
Article
Agriculture, Dairy & Animal Science
A. C. M. van den Oever, B. Kemp, T. B. Rodenburg, L. J. F. van de Ven, J. E. Bolhuis
Summary: The study found that broiler breeders exhibit gregarious nesting behavior, which is influenced by genetic background. Increased gregarious nesting and wounds are associated with an increased percentage of floor eggs. Genetic selection can improve the even use of nests and areas, enhancing both welfare and performance of broiler breeders.
Article
Agriculture, Dairy & Animal Science
A. C. M. van den Oever, L. Candelotto, B. Kemp, T. B. Rodenburg, J. E. Bolhuis, E. A. M. Graat, L. J. F. van de Ven, D. Guggisberg, M. J. Toscano
Summary: The study found that providing raised slats can decrease mating behavior and the percentage of floor eggs laid by broiler breeder hens, although its effects on leg health remain inconclusive.
Article
Multidisciplinary Sciences
R. Choudhury, A. Middelkoop, J. G. de Souza, L. A. van Veen, W. J. J. Gerrits, B. Kemp, J. E. Bolhuis, M. Kleerebezem
Summary: Early feeding has a significant impact on the colon microbiota of piglets, while no effect was seen in the jejunal and ileal microbiota. Early-fed piglets showed decreased pH in the caecum and colon, along with increased short-chain fatty acid concentrations. Additionally, early feeding altered the weights and lengths of intestinal tract segments, as well as the villus-crypt ratio in jejunal mucosa and the abundance of proliferative cells in colon mucosa.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Allyson F. Ipema, Eddie A. M. Bokkers, Walter J. J. Gerrits, Bas Kemp, J. Elizabeth Bolhuis
Summary: Using black soldier fly larvae as edible enrichment can effectively promote exploration and feed intake in post-weaning piglets, helping to alleviate stress during the weaning period. The study findings demonstrate that provision of live BSFL can improve piglet behavior without affecting their growth performance.
SCIENTIFIC REPORTS
(2021)
Article
Agriculture, Dairy & Animal Science
F. Hakansson, J. E. Bolhuis
Summary: This study revealed differences in physical and behavioral traits between different types of tail-biting behavior in piglets, suggesting a connection between damaging biting behaviors, increased activity, and social contact. However, it remains unclear whether these differences are temporary or stable over time, highlighting the potential importance of early prevention and intervention strategies for tail-biting behavior in pig production.
APPLIED ANIMAL BEHAVIOUR SCIENCE
(2021)
Article
Veterinary Sciences
Allyson F. Ipema, Walter J. J. Gerrits, Eddie A. M. Bokkers, Manon A. van Marwijk, Bjorge F. A. Laurenssen, Bas Kemp, J. Elizabeth Bolhuis
Summary: This study investigated the effects of providing live black soldier fly larvae as edible enrichment before and/or after weaning. The results showed that pre-weaning larvae provisioning did not improve pre-weaning feed intake and post-weaning performance, however, post-weaning larvae provisioning did benefit piglet behavior as there was less manipulation of pen mates observed.
FRONTIERS IN VETERINARY SCIENCE
(2022)
Article
Veterinary Sciences
Ingrid D. E. van Dixhoorn, Dennis E. te Beest, Jantina E. Bolhuis, Hendrik K. Parmentier, Bas Kemp, Simon van Mourik, Norbert Stockhofe-Zurwieden, Cornelis G. van Reenen, Johanna M. J. Rebel
Summary: By analyzing various animal-based factors, resilience to pathogen infection in pigs can be predicted. Factors measured before infection, such as serum lymphocyte and granulocyte levels, are correlated with disease severity. However, some factors, such as skin lesion scores, have different effects depending on the housing system.
FRONTIERS IN VETERINARY SCIENCE
(2021)
Review
Veterinary Sciences
Laura A. Boyle, Sandra A. Edwards, J. Elizabeth Bolhuis, Francoise Pol, Manja Zupan Semrov, Sabine Schuetze, Janicke Nordgreen, Nadya Bozakova, Evangelia N. Sossidou, Anna Valros
Summary: Damaging behaviors, such as tail and ear biting, are common in pig production and negatively impact welfare and performance. Poor health and tail damage show high correlations within and between pig farms. There are common risk factors for both tail-biting and health problems, including respiratory, enteric, and locomotory diseases. Limited evidence supports two potential causal mechanisms linking damaging behaviors and health problems, either poor health increasing the risk of tail-biting or tail-biting causing poor health.
FRONTIERS IN VETERINARY SCIENCE
(2022)
Article
Multidisciplinary Sciences
S. P. Parois, L. E. Van der Zande, E. F. Knol, B. Kemp, T. B. Rodenburg, J. E. Bolhuis
Summary: Enhancing livestock resilience and reducing chronic stress can be achieved by providing social and environmental enrichment that meets their behavioral needs.
SCIENTIFIC REPORTS
(2022)
Article
Veterinary Sciences
Lu Luo, Lisette E. Van Der Zande, Manon A. van Marwijk, Egbert Frank Knol, T. Bas Rodenburg, J. Elizabeth Bolhuis, Severine P. Parois
Summary: This study investigated the combined effects of environmental conditions and repeated mixing on resilience in pigs. The findings suggest that providing enriched environments can improve stress responses, while repeated mixing does not seem to aggravate the negative effects of barren housing on resilience.
FRONTIERS IN VETERINARY SCIENCE
(2022)
Article
Veterinary Sciences
Severine P. Parois, Lisette E. van der Zande, Egbert F. Knol, Bas Kemp, T. Bas Rodenburg, J. Elizabeth Bolhuis
Summary: Improving pig welfare through upgrades in housing environment, including multi-litter housing, delayed weaning, extra space allowance, and environmental enrichment, has been shown to reduce stress levels and improve cognitive resilience in pigs. Alternative housing conditions result in lower cortisol levels and tear staining area, indicating better overall welfare. Pigs in the alternative housing system exhibit lower heart rate, higher heart rate variability, and higher vagal activity during a stress challenge, suggesting reduced sensitivity to stressors. Furthermore, the alternative housing system appears to improve long-term memory in pigs. Providing social and environmental enrichments that better fulfill the pigs' essential needs is beneficial for pig welfare.
FRONTIERS IN VETERINARY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Sezen oezkan, Servet Yalcin, Oezer Hakan Bayraktar, Guldehen Bilgen, Miray Dayioglu, J. Elizabeth Bolhuis, T. Bas Rodenburg
Summary: This study aimed to evaluate the effects of different incubation lighting conditions on hatching performance, blood hormone levels, and hypothalamic gene expression in laying hens. Results showed that incubation lighting had an impact on hatching performance, feather pecking behavior, and hypothalamic gene expression, indicating a potential modulation of pecking tendencies in laying hens through changes in gene expression related to serotonin system and stress. However, there were no significant effects on gentle, severe, and aggressive pecking behaviors.
Article
Multidisciplinary Sciences
R. Choudhury, A. Middelkoop, J. E. Bolhuis, M. Kleerebezem
Summary: This study explored the association between gut microbiota and behavior in suckling piglets. The results indicated that specific microbial groups were associated with different behaviors, suggesting a potential influence of gut microbiota on behavior.
SCIENTIFIC REPORTS
(2022)
Article
Food Science & Technology
Shoujun Huo, Yue Sun, Qinghua Guo, Tao Tan, J. Elizabeth Bolhuis, Piter Bijma, Peter H. N. de With
Summary: In livestock breeding, continuous and objective monitoring of animals is challenging. Computer vision technology, specifically a double-camera system with image registration algorithms, can overcome the issues caused by occlusion and changes in appearance features. This approach uses a deformable learning-based registration framework with pre-registration and convolutional neural networks to improve registration accuracy. The proposed method shows significant improvement over commonly used feature-based and intensity-based methods and reduces registration time to less than 0.5 seconds.
Proceedings Paper
Computer Science, Artificial Intelligence
Qinghua Guo, Yue Sun, Lan Min, Arjen van Putten, Egbert Frank Knol, Bram Visser, T. Bas Rodenburg, J. Elizabeth Bolhuis, Piter Bijma, Peter H. N. de With
Summary: In this study, AI is used to assist individual animal detection and tracking for future behavior analysis. Two state-of-the-art deep learning-based Multi-Object Tracking (MOT) methods are investigated, and a weighted association algorithm is proposed to optimize tracking performance. Results show promising high accuracy and robustness for individual animal tracking in both pig and laying hen groups.
PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISAPP), VOL 4
(2022)
