Article
Cell Biology
Nicolas Saucisse, Wilfrid Mazier, Vincent Simon, Elke Binder, Caterina Catania, Luigi Bellocchio, Roman A. Romanov, Stephane Leon, Isabelle Matias, Philippe Zizzari, Carmelo Quarta, Astrid Cannich, Kana Meece, Delphine Gonzales, Samantha Clark, Julia M. Becker, Giles S. H. Yeo, Xavier Fioramonti, Florian T. Merkle, Sharon L. Wardlaw, Tibor Harkany, Federico Massa, Giovanni Marsicano, Daniela Cota
Summary: Blocking the energy sensor mTORC1 in POMC neurons can mimic a cellular negative energy state, leading to hyperphagia. The functional specificity of the GABA and glutamate subpopulations in POMC neurons relies on the activity of mTORC1.
Article
Business
Johannes Wachs, Balazs Vedres
Summary: Crowdfunding provides inventors and entrepreneurs with alternative access to resources and fosters innovation, making crowdfunded products more distinctive and innovative. Analysis of board games data shows that crowdfunded games are more likely to have novel combinations of mechanisms, with lasting impact on traditionally funded products.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Immunology
Zeinab Waad Sadiq, Annamaria Brioli, Ruba Al-Abdulla, Gonca Cetin, Jacqueline Schuett, Hugo Murua Escobar, Elke Krueger, Frederic Ebstein
Summary: This study investigates the effects of protein homeostasis disruptors on multiple myeloma cells and shows that inhibition of protein de-ubiquitination can induce immunogenic cell death, suggesting a new therapeutic strategy.
FRONTIERS IN IMMUNOLOGY
(2023)
Editorial Material
Multidisciplinary Sciences
Andrew Barron, Susan E. Fahrbach, Alison R. Mercer, Karen A. Mesce, David J. Schulz, Brian H. Smith, Eirik Sovik
Summary: Huang et al. argue that honey bees exhibit a human-like dopamine-regulated neuromodulatory mechanism underlying food-seeking behavior. However, there are concerns that need to be addressed before their results and interpretation can be widely accepted.
Article
Business
Yawei Wang, Qi Kang, Shoujiang Zhou, Yuanyuan Dong, Junqi Liu
Summary: This study aims to bridge a gap in the current research by examining consumer behavior unrelated to, but elicited by, service robots. The results showed that participants primed with robots were more likely to engage in exploratory consumption behaviors compared to those primed with humans.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2022)
Editorial Material
Multidisciplinary Sciences
John W. Peters, Oliver Einsle, Dennis R. Dean, Serena DeBeer, Brian M. Hoffman, Patrick L. Holland, Lance C. Seefeldt
Summary: The study reports a structure of the nitrogenase MoFe protein indicating binding of N-2 or an N-2-derived species to the active-site FeMo cofactor. However, independent refinement of the structure and consideration of biochemical evidence do not support this claim.
Letter
Multidisciplinary Sciences
Songkun Su, Martin Giurfa
Summary: In a technical comment, Barron et al. criticize Huang et al.'s work on dopamine quantification via HPLC and propose alternative hypotheses to challenge the original ones. The authors appreciate the comment for clarifying technical aspects and stimulating discussion on their work's conclusions.
Article
Computer Science, Artificial Intelligence
Paul Bergmann, Kilian Batzner, Michael Fauser, David Sattlegger, Carsten Steger
Summary: The detection of anomalous structures in natural image data is crucial for various tasks in the field of computer vision. Unsupervised anomaly detection methods require data for training and evaluating new approaches. The MVTec anomaly detection dataset includes high-resolution color images of different objects and textures, with normal and abnormal images for training and testing purposes.
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2021)
Article
Computer Science, Information Systems
Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal
Summary: One of the urgent challenges in the field of Natural Language Processing (NLP) is combating the spread of fake news and misinformation. This study proposes textual novelty detection and emotion prediction as two tasks related to automatic misinformation detection, achieving state-of-the-art performance on four large-scale misinformation datasets.
INFORMATION PROCESSING & MANAGEMENT
(2022)
Editorial Material
Multidisciplinary Sciences
Wonchull Kang, Chi Chung Lee, Andrew J. jasniewski, Markus W. Ribbe, Yilin Hu
Summary: Peters and colleagues' claim of contradicting our findings on the dynamic structure of the nitrogenase metallocofactor during N-2 reduction is refuted by our biochemical and structural data, which conclusively demonstrate the binding of dinitrogen species to the nitrogenase cofactor.
Article
Multidisciplinary Sciences
David Framorando, Eleanor Moses, Lore Legrand, Margitta Seeck, Alan J. Pegna
Summary: The study found that both healthy individuals and those who had undergone left amygdala resections showed enhanced N170 response to fearful faces, while this effect was not observed in patients with right amygdala resections.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Jingnan Huang, Zhaonan Zhang, Wangjiang Feng, Yuanhong Zhao, Anna Aldanondo, Maria Gabriela de Brito Sanchez, Marco Paoli, Angele Rolland, Zhiguo Li, Hongyi Nie, Yan Lin, Shaowu Zhang, Martin Giurfa, Songkun Su
Summary: This study focused on honey bees and investigated the presence of a wanting system in insects. Through monitoring foraging and dance behavior, as well as interfering with biogenic amine signaling in the bee brain, the researchers found that honey bees have a dopamine-dependent wanting system, which shares neural mechanisms with mammals for encoding the wanting of stimuli with positive hedonic value.
Article
Computer Science, Information Systems
Yuanyuan Zhao, Huijuan Hao, Yu Chen, Yu Zhang
Summary: This paper proposes a novelty detection and fault diagnosis method for bearing faults based on a hybrid deep autoencoder network. By setting a threshold based on the reconstruction error, novel class faults can be detected, while known faults can be classified based on low-dimensional features.
Article
Multidisciplinary Sciences
Robin Nguyen, Konstantinos Koukoutselos, Thomas Forro, Stephane Ciocchi
Summary: This study conducted activity-dependent engram tagging and in vivo single-unit electrophysiological recordings to analyze the effect of BLA inputs on vH during the formation of cued fear extinction memory. The study found that CS-related activity in the vH was reactivated during sleep consolidation and strengthened upon memory retrieval during fear extinction. Moreover, fear extinction memory was enhanced when the extinction context accurately encoded its affective zones. These activity patterns and the retrieval of fear extinction memory were dependent on glutamatergic transmission from the BLA during extinction learning. Therefore, fear extinction memory relies on the formation of contextual and stimulus safety representations in the vH instructed by the BLA.
Article
Multidisciplinary Sciences
Adrian Campazas-Vega, Ignacio Samuel Crespo-Martinez, Angel Manuel Guerrero-Higueras, Claudia Alvarez-Aparicio, Vicente Matellan, Camino Fernandez-Llamas
Summary: This study aims to demonstrate that malicious network traffic can be detected even on flow data collected with a sampling rate of 1 out of 1,000 packets. The results show that using novelty-detection-based models, it is possible to detect malicious traffic on sampled flow data with high accuracy and a low false alarm rate.
SCIENTIFIC REPORTS
(2023)
Article
Psychology, Clinical
Sanne J. E. Bruijniks, Martijn Meeter, Lotte H. J. M. Lemmens, Frenk Peeters, Pim Cuijpers, Marcus J. H. Huibers
Summary: This study investigated the specific and temporal role of cognitive-behavioral therapy (CBT) and interpersonal psychotherapy (IPT) in treating major depressive disorder. The results showed that CBT skills and dysfunctional thinking mediated the changes in depression, while IPT skills and behavioral activation were related to subsequent change in depression regardless of treatment modality.
BEHAVIOUR RESEARCH AND THERAPY
(2022)
Article
Psychology, Mathematical
Joshua Snell, Jonathan Grainger, Martijn Meeter
Summary: The brain recognizes visual words by encoding the relative positions of letters with open-bigram representations. However, the influence of letter distance on bigram activation remains unexplored. Two experiments showed that decreasing the letter distance led to faster recognition of bigrams, but shorter distances also resulted in slower responses and more false positives when the target letter order was reversed.
PSYCHONOMIC BULLETIN & REVIEW
(2022)
Article
Education & Educational Research
Erik Meij, Anneke Smits, Martijn Meeter
Summary: The importance of learning theories in teacher education is widely acknowledged, but there is a significant variation in how and what learning theories are taught, with the essence being to support pedagogical decisions. However, doubts are raised by respondents on whether this goal is ever achieved, indicating an additional paradigm versus reality gap in teacher education.
TEACHING AND TEACHER EDUCATION
(2022)
Article
Psychology
Josh M. Salet, Wouter Kruijne, Hedderik van Rijn, Sander A. Los, Martijn Meeter
Summary: Temporal preparation is a cognitive function that occurs when anticipating future events. Traditional hazard-based theories fail to explain all empirical preparation phenomena. The formalized multiple trace theory of temporal preparation (fMTP) proposes that temporal preparation results from associative learning, based on established computational principles. fMTP can account for a wide range of empirical effects and is contrasted with hazard function models.
PSYCHOLOGICAL REVIEW
(2022)
Article
Psychology, Clinical
Sanne J. E. Bruijniks, Martijn Meeter, Lotte Lemmens, Frenk Peeters, Pim Cuijpers, Fritz Renner, Marcus J. H. Huibers
Summary: This study found that a twice weekly session frequency is more effective in reducing depression compared to a once-weekly session frequency, and this may be explained by the development of IPT skills. A decrease in depression was related to subsequent improvement in CBT skills and subsequent decrease in motivation for therapy.
BEHAVIOUR RESEARCH AND THERAPY
(2022)
Article
Education & Educational Research
Theo Bakker, Lydia Krabbendam, Sandjai Bhulai, Martijn Meeter, Sander Begeer
Summary: This study examines the study progression and degree completion of bachelor's students with autism spectrum disorder in comparison to students with other recorded conditions and students with no recorded conditions at a major Dutch university. The research shows that most outcomes were similar across the three groups, but students with autism had more no-shows in the second year, which affected degree completion. Therefore, addressing participation and inclusivity is crucial for improving academic support for students with autism.
Article
Education & Educational Research
Irene Eegdeman, Ilja Cornelisz, Martijn Meeter, Chris van Klaveren
Summary: This study presents a new method that uses machine learning algorithms to efficiently identify students at risk of dropping out, addressing the issue of ineffective targeting in dropout-prevention efforts. By utilizing machine learning predictions with out-of-sample data, the study demonstrates how invitation rules can be formulated to effectively target at-risk students and facilitate early detection for dropout prevention.
EDUCATION ECONOMICS
(2023)
Article
Education & Educational Research
Mirella Jongsma, Danny J. Scholten, Jacqueline E. van Muijlwijk-Koezen, Martijn Meeter
Summary: This paper conducts a meta-analysis comparing the effectiveness of online and offline peer feedback in higher education, finding that online peer feedback is more effective. Moreover, online peer feedback is more effective in assessing competence and students generally have a positive attitude towards it, although there are also some downsides.
JOURNAL OF EDUCATIONAL COMPUTING RESEARCH
(2023)
Article
Education & Educational Research
Martijn Meeter
Summary: The transition from secondary to tertiary education differs among countries, with the Netherlands utilizing both national exams and secondary school GPA to predict tertiary first-year retention. For students who failed their exams and entered university one year later, their GPA in the year of failure remained equally predictive as that of students who passed their exams and started university immediately.
EDUCATIONAL ASSESSMENT
(2023)
Article
Psychology, Developmental
Theo Bakker, Lydia Krabbendam, Sandjai Bhulai, Martijn Meeter, Sander Begeer
Summary: This study developed predictive models for the academic success of autistic bachelor students and found that the predictions for autistic students' success were more accurate than those for students without autism. Factors such as study choice and application timing were important predictors for first-year success, while participation in pre-education and delays at the beginning of studies were influential predictors for second-year success and delays in later years. Additionally, academic performance was the strongest predictor for degree completion. These insights can help universities provide tailored support for autistic students to reduce dropout risk and increase degree completion.
Article
Neurosciences
Oscar Ferrante, Alexander Zhigalov, Clayton Hickey, Ole Jensen
Summary: Visual attention is affected by past experiences, and expectations about distractor locations can be learned and reduced through statistical learning. Using magnetoencephalography (MEG), it was found that early visual cortex showed reduced neural excitability at retinotopic locations associated with higher distractor probabilities. This suggests that proactive mechanisms of attention are involved in predictive distractor suppression and are associated with altered neural excitability in early visual cortex.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Education & Educational Research
Smiddy Nieuwenhuis, Tieme W. P. Janssen, Denise J. van Der Mee, Farah A. Rahman, Martijn Meeter, Nienke M. van Atteveldt
Summary: This study explored the relationship between undergraduate students' mindset and their choices to invest effort, finding that growth mindset and physiological effort mobilization did not predict effort-related choices, but making mistakes did predict lower effort choices in the subsequent round. This study further supports the importance of mastery experiences for effort investment and provides a novel approach for integrating different levels of influence on effort-related choices during an educationally-relevant task.
MIND BRAIN AND EDUCATION
(2023)
Article
Neurosciences
Clayton Hickey, David Acunzo, Jaclyn Dell
Summary: Reward-related activity in the dopaminergic midbrain influences animal behavior by enhancing the perception and attention to reward-predictive environmental stimuli. This study demonstrates that reward-associated real-world objects attract attention but do not capture it, as humans are able to quickly suppress the incentive salience of irrelevant reward-associated objects and shift attention to more useful objects.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Psychology, Experimental
Yi-Heng Tsai, Tieme W. P. Janssen, Tuong-Van Vu, Martijn Meeter, Nienke M. van Atteveldt, Brenda R. J. Jansen, Lucia Magis-Weinberg
Summary: In this longitudinal, observational study, changes in perceived school motivation and effort among 883 Peruvian adolescents during two years of remote education were tracked. The study found that compared to before the pandemic, levels of perceived school motivation and effort sharply dropped in May 2020 and continued to decrease. Perceived school motivation was positively associated with perceived school effort at almost all time points. Students with lower levels of perceived school motivation had a steeper decline in perceived school effort. In a subsample of 380 students in 8th grade, perceived school effort in July 2021 predicted objective math performance in November 2021.
Article
Psychology, Multidisciplinary
Meimei Liu, TuongVan Vu, Nienke van Atteveldt, Martijn Meeter
Summary: This study investigated the reciprocal relationship between students' value of education and academic achievement in an East-Asian country. The results showed that while a reciprocal effect was found in classic cross-lagged panel models, only unilateral effects were found in random-intercept and random-curve cross-lagged panel models. However, when the time investment variable was added, a reciprocal effect between value of education, time investment, and academic achievement was found with the random intercept model.
JOURNAL OF INTELLIGENCE
(2023)
