Article
Computer Science, Artificial Intelligence
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su
Summary: Cognitive diagnosis is widely applicable in scenarios where users' cognitive states need to be assessed. In this article, a general Neural Cognitive Diagnosis (NeuralCD) framework is proposed, which incorporates neural networks to learn the complex exercising interactions. Extensive experimental results show the effectiveness of NeuralCD framework with both accuracy and interpretability.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Review
Neurosciences
Alexander I. P. Taylor, Rosemary A. Staniforth
Summary: Amyloid fibrils are a relevant state of protein folding that differs from globular proteins in terms of symmetry, conformational order, and supramolecular scale. Recent advancements in techniques have provided a wealth of information about the molecular and supramolecular organization of amyloids, allowing for a unified understanding of their formation and unique properties.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Economics
Francisco Salas-Molina, Filippo Bistaffa, Juan A. Rodriguez-Aguilar
Summary: We propose a novel formalization that tackles the problem of computing a consensus based on multiple ethical principles in the context of Group Decision-Making. Our approach significantly generalizes previous approaches, considers a balanced multi-norm consensus, and incurs obvious benefits from a social-choice perspective.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Subin Kim, Euisuk Chung, Pilsung Kang
Summary: Multivariate time-series data is complex and uncertain, with unique patterns for each feature and dynamically changing temporal patterns overall. In this study, a general framework called FEAT is proposed to learn feature-specific and dynamically changing temporal patterns simultaneously. FEAT outperforms benchmark models in terms of accuracy and error on multiple datasets.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Shurui Zhang, Qiong Gu, Xiaofeng Ma, Weixing Sheng, Thia Kirubarajan
Summary: This paper proposes a low complexity general structure for adaptive space-time wideband beamforming and introduces an alternating data extraction method to reduce computational complexity. Adaptive wideband beamforming algorithms are then proposed for this general structure, including the SVD-AEFCFB and SVDAEFCLB algorithms, which have undistorted response to the wideband signal of interest and satisfactory anti-interference capability with low computational complexity. The proposed structure and algorithms have general characteristics for other space-time methods. Simulation results demonstrate the correctness and effectiveness of the proposed methods.
DIGITAL SIGNAL PROCESSING
(2022)
Article
Behavioral Sciences
Monika M. Polczynska, Susan Y. Bookheimer
Summary: The literature has identified numerous important factors influencing the extent to which bilinguals rely on the same neural populations in specific brain regions, such as the age of acquisition of the second language, proficiency levels of both languages, and language exposure. However, there is a lack of global principles that explain how these factors relate to the overlap of languages in bilinguals neuroanatomically.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2021)
Article
Robotics
Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
Summary: The study introduces a novel task involving navigating a marble through a maze, achieving success through innovative approaches in deep reinforcement learning. By utilizing a hybrid model of a full physics engine and a statistical function approximator, researchers were able to efficiently control the marble in a complex environment in real-time.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Computer Science, Interdisciplinary Applications
Jewoong Moon, Gi Woong Choi, Joo Young Seo
Summary: Virtual reality (VR) offers promising opportunities for supporting autistic learners in developing social and cognitive skills. This review article aims to explore how key theories of multimedia learning can inform the development of effective VR-based learning environments for autistic learners. The article proposes four design goals for optimizing VR-based learning environments for autistic learners and discusses prevalent design challenges and prospective research trajectories for their enhancement.
Article
Economics
Pablo Montero-Manso, Rob J. Hyndman
Summary: Global methods have shown surprising accuracy in forecasting large groups of heterogeneous time series. The complexity of local methods grows with the size of the set while it remains constant for global methods. Purposely naive algorithms derived from global methods show outstanding accuracy in empirical studies.
INTERNATIONAL JOURNAL OF FORECASTING
(2021)
Article
Automation & Control Systems
Sichao Fu, Qiong Cao, Yunwen Lei, Yujie Zhong, Yibing Zhan, Xinge You
Summary: In this article, a novel dynamic graph structure preserving (DGSP) model is proposed for few-shot learning. The model updates the graph structure by considering the data correlations from both the feature space and the label space, effectively correcting the local geometry relationships. Extensive experiments demonstrate that the proposed method outperforms existing methods in various benchmarks, backbones, and task settings, achieving state-of-the-art performance.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Cristian R. R. Rojas, Pawel Wachel
Summary: In this article, it is established that every deterministic nonautonomous, discrete-time, causal, time invariant system can be represented by a state-space model, and its minimality is discussed.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Education & Educational Research
Theodore W. Frick, Rodney D. Myers, Cesur Dagli
Summary: This study tracked the learning journeys of 172,417 students using the Indiana University Plagiarism Tutorials and Tests (IPTAT) online resource. The results showed that the IPTAT tutorial webpages designed with First Principles of Instruction (FPI) played an important role in helping students achieve mastery. Additionally, combining Analysis of Patterns in Time and Bayesian analysis improved students' chances of passing certification tests.
ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT
(2022)
Article
Computer Science, Artificial Intelligence
Kai Wu, Kaixin Yuan, Yingzhi Teng, Jing Liu, Licheng Jiao
Summary: This paper proposes a time series classification method based on the broad fuzzy cognitive map system (BFCMS), which includes a feature extraction block, a spatiotemporal information aggregation block, and a prediction layer. BFCMS achieves efficient time series classification by addressing the limitations of broad learning systems. Experimental results demonstrate the superiority of BFCMS.
APPLIED SOFT COMPUTING
(2022)
Article
Computer Science, Information Systems
Rizka W. Sholikah, Agus Z. Arifin, Chastine Fatichah, Ayu Purwarianti
Summary: Semantic relation detection is crucial in natural language processing. This paper proposes a framework for cross-lingual semantic relation identification using multi-task learning and a general vector space, which overcomes the limitation of cross-lingual data and improves relation identification accuracy.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Engineering, Industrial
Dongzhen Lyu, Guangxing Niu, Enhui Liu, Bin Zhang, Gang Chen, Tao Yang, Enrico Zio
Summary: This paper presents a general theoretical framework of time space modelling for Lebesgue sampling-based fault diagnosis and prognosis, with detailed analysis on mathematical modelling and uncertainty quantification. The concept of sequential estimation and prediction is introduced for fault degrading to predefined Lebesgue states, showcasing the robustness, generalization, and integration ease of the proposed formulation. Experimental results on battery capacity degradation and bearings degradation demonstrate the compatibility, effectiveness, and modelling simplicity of the developed framework.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Biochemistry & Molecular Biology
Samantha Carouso-Peck, Michael H. Goldstein
Article
Behavioral Sciences
Samantha Carouso-Peck, Otilia Menyhart, Timothy J. DeVoogd, Michael H. Goldstein
Article
Linguistics
Yezhou Li, Luca Onnis
Summary: How parents talk to young children is crucial for their language and cognitive development. Previous studies have mainly focused on monolingual parents, and little is known about language features from bilingual parents. This study found that mothers with higher bilingualism levels tended to use more self-repetition during unscripted narrations with their toddlers, which can facilitate children's lexical and grammatical development across languages. Additionally, more bilingual mothers preserved the same level of lexical diversity as more monolingual mothers.
LINGUISTIC APPROACHES TO BILINGUALISM
(2022)
Article
Biology
Samantha Carouso-Peck, Michael H. Goldstein
Summary: A novel evolutionary modelling approach was proposed to predict which species may incorporate social influences in vocal learning, based on ecological, reproductive, and developmental traits. The study found three highly predictive traits that can identify potential socially guided vocal learners, offering new insights into the evolution and development of vocal learning strategies. This trait-based approach may yield new insights that cannot be gained from phylogenetic relatedness alone.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2021)
Review
Biology
Samantha Carouso-Peck, Michael H. Goldstein, W. Tecumseh Fitch
Summary: The article examines the diverse usages and proposed functions of learned novel signals in various species, aiming to build a framework for considering the evolution of vocal learning capacities beyond sexual selection. By providing examples of species using unlearned signals to accomplish the same goals, the study generates hypotheses regarding when vocal learning is adaptive. The identification of areas of uncertainty for further research is highlighted to improve understanding and testing of these hypotheses.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2021)
Article
Behavioral Sciences
Katerina M. Faust, Michael H. Goldstein
Summary: Recent research has highlighted the significance of animal personality traits in areas such as mate choice, cognition, and social interactions in behavioral ecology. However, the implications of these traits for predicting parental behavior are not well understood. In this study, the researchers investigated the relationships between personality traits and parental behavior in zebra finches, a species known for biparental care and the influence of parental feedback on juvenile song learning. The findings showed that exploration scores predicted parental responsiveness in different ways for males and females, with low-exploring males displaying more contingent responses to juvenile songs and high-exploring females increasing their responsiveness as juvenile song development progressed. Overall, females were more responsive to changes in juvenile vocal production over the course of song development, while males were less variable in their response rate. The study emphasizes the importance of exploration as a predictor of parental responsiveness, aligning with previous research findings on mate choice based on exploration traits.
Article
Psychology, Developmental
Steven L. Elmlinger, Jennifer A. Schwade, Laura Vollmer, Michael H. Goldstein
Summary: Infants' prelinguistic vocalizations have an impact on social partners and they learn the social efficacy of their vocalizations between 2 and 5 months.
DEVELOPMENTAL SCIENCE
(2023)
Article
Computer Science, Artificial Intelligence
Steven L. Elmlinger, Deokgun Park, Jennifer A. Schwade, Michael H. Goldstein
Summary: Research finds that infants' prelinguistic vocalizations elicit simplified linguistic responses from caregivers. Caregivers' speech plays an important role in infants' development, and their communicative and cognitive development is predicted by the language environment they are exposed to. Variation in infants' language environment comes from the number and diversity of words they hear.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2022)
Article
Psychology, Experimental
Jun Ho Chai, Hui Min Low, Tze Peng Wong, Luca Onnis, Julien Mayor
Summary: Early vocabularies tend to have more nouns than verbs, but this noun-bias varies significantly across languages and cultures. The distribution of verbs and nouns in bilingual children's vocabulary also differs depending on their language backgrounds, indicating that factors beyond language itself can influence early vocabulary structures. The study highlights the potential role of socio-cultural differences in shaping children's early vocabularies.
JOURNAL OF CULTURAL COGNITIVE SCIENCE
(2021)
Article
Linguistics
Luca Onnis, Gianluca Esposito, Paola Venuti, Shimon Edelman
Summary: The study found that parents of children with Autistic Spectrum Disorders (ASD) tend to use more partial self-repetitions in speech, and this tendency is mainly driven by mothers. Compared to typically developing children, parents of atypically developing children use more compensating modes of communication.
Article
Psychology, Developmental
Lauren L. Emberson, Jennifer B. Misyak, Jennifer A. Schwade, Morten H. Christiansen, Michael H. Goldstein
DEVELOPMENTAL SCIENCE
(2019)
Article
Psychology, Developmental
Steven L. Elmlinger, Jennifer A. Schwade, Michael H. Goldstein
JOURNAL OF CHILD LANGUAGE
(2019)
Article
Psychology, Developmental
Gina M. Mason, Michael H. Goldstein, Jennifer A. Schwade
JOURNAL OF EXPERIMENTAL CHILD PSYCHOLOGY
(2019)
Article
Psychology, Developmental
Gina M. Mason, Fiona Kirkpatrick, Jennifer A. Schwade, Michael H. Goldstein
Article
Psychology, Developmental
Erik D. Thiessen, Luca Onnis, Soo-Jong Hong, Kyung-Sook Lee
JOURNAL OF EXPERIMENTAL CHILD PSYCHOLOGY
(2019)