Editorial Material
Business
Madeleine Rauch, Moritz Loock, Wolfgang H. Guettel
Summary: This introduction examines the relationship between heuristics, technological forecasting, and social change. It introduces five articles included in the Special Issue on 'Heuristics in Technological Forecasting and Social Change' and proposes directions for further research. The authors highlight important, yet unexplored research questions that could enhance the study of heuristics in the context of social and technological change.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Editorial Material
Computer Science, Artificial Intelligence
Vaishak Belle, Thomas Bolander, Andreas Herzig, Bernhard Nebel
Summary: Epistemic planning combines automated planning with cognitive concepts such as knowledge and belief. Single-agent epistemic planning deals with how an agent moves from its current knowledge state to a desired one. Multi-agent epistemic planning extends this to consider the knowledge states of other agents, including higher-order knowledge. Both types of planning are important in various AI applications and require integrating different sub-areas of AI research. The importance of epistemic planning is reflected in its relevance to mobile service robots, game playing, human-robot interaction, and other areas. Rating: 9 out of 10.
ARTIFICIAL INTELLIGENCE
(2023)
Editorial Material
Multidisciplinary Sciences
Anna Pecchinenda
Summary: This article introduces the ten contributions of the current Special Issue on Symmetry in Cognition and Emotion, which provide different and unique insights into this topic. The new evidence includes research on whether the attentional blink can be triggered by internal events, as well as the role of the fronto-parietal network. Additionally, the contributions address the effect of emotion on pseudoneglect and the role of the temporal parietal junction in processing self-related information. Four contributions provide new evidence on processing different aspects of faces, such as age, gaze, emotional expression, and their impact on response inhibition. Lastly, two contributions provide novel evidence on asymmetric preferences in decisions and the relationship between preferences for visual symmetry. Overall, these contributions offer a fresh perspective on the various forms of symmetry in cognition and emotion, and we hope they will stimulate further research.
Editorial Material
Cell Biology
Yvette Tache, Juan M. Saavedra
Summary: This special Issue presents comprehensive and state-of-the-art advances in supporting the crucial role of the bidirectional interactions between the Brain-Gut Axis in health and diseases with an emphasis on the microbiome-gut-brain axis and its implications in a variety of neurological disorders.
CELLULAR AND MOLECULAR NEUROBIOLOGY
(2022)
Editorial Material
Computer Science, Artificial Intelligence
Tim Verdonck, Bart Baesens, Maria Oskarsdottir, Seppe vanden Broucke
Summary: Feature engineering aims to improve the performance of machine learning models by cleverly adjusting data features while maintaining interpretability. It can be used with simple techniques or to enhance complex techniques by adjusting existing features or creating new meaningful ones.
Editorial Material
Computer Science, Artificial Intelligence
Jie Lu, Joao Gama, Xin Yao, Leandro Minku
Summary: In recent years, stream learning has significantly developed in both conceptual and application levels, becoming a hot research direction in machine learning and data science. Advancements include detecting concept drift, adapting to drifts, and utilizing online, active, incremental, and reinforcement learning in data streaming scenarios.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Editorial Material
Computer Science, Theory & Methods
Kirstie L. Bellman, Ada Diaconescu, Sven Tomforde
Summary: SISSY is a research initiative that aims to address the changing demands of system organization in dynamic environments, promoting automated integration decisions during runtime. Systems must self-integrate and self-improve internally, while also being able to cooperate or coexist with other autonomous systems.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Editorial Material
Chemistry, Multidisciplinary
Norio Shibata, Dinesh Talwar
Summary: The unique properties and applications of fluorine-containing molecules have had significant impact across different scientific fields, from small to large molecules. This special issue provides a comprehensive overview of the state-of-the-art in fluorine chemistry.
Editorial Material
Engineering, Electrical & Electronic
Robert M. Cuzner, Josep M. Guerrero
Summary: The concept of DC power and energy delivery is increasingly applied in various fields, with protection becoming a paramount concern. From low voltage LVDC to high voltage HVDC, the demand for DC distribution is continuously increasing. The future trend is moving towards MVDC power and energy distribution.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Editorial Material
Computer Science, Artificial Intelligence
Tim Miller, Robert Hoffman, Ofra Amir, Andreas Holzinger
Summary: The special issue on Explainable Artificial Intelligence (XAI) presents a representative overview of the latest research in the field from 2020-2021 and identifies future research directions. The scope of the issue is intentionally broad, covering technical contributions, human-centered studies, surveys, and philosophical perspectives. A total of 97 papers were submitted, and after rigorous peer review, 27 papers were accepted for publication.
ARTIFICIAL INTELLIGENCE
(2022)
Editorial Material
Psychology, Multidisciplinary
Thomas J. Holt, Benoit Dupont
Summary: Cybercrime research is crucial for criminologists as it provides critical examples of diversity in cybercrime scholarship and explores issues such as self-control, routine control, and opportunity. The work of various researchers also expands our knowledge of the nature of cybercrime offending and networked relationships.
COMPUTERS IN HUMAN BEHAVIOR
(2023)
Editorial Material
Geochemistry & Geophysics
Peter B. Kelemen, Jurg M. Matter, Damon A. H. Teagle, Jude A. Coggon, Marguerite Godard, Katsuyoshi Michibayashi, Eiichi Takazawa, Alexis S. Templeton, Ken Williams, Zaher Al Sulaimani
Summary: This article provides a preface, which includes background information, a scientific overview, and an annotated bibliography of 63 papers published in the Journal of Geophysical Research (JGR) Special Issue on Ophiolites and Oceanic Lithosphere, with a focus on the Samail Ophiolite. The topics covered in the special issue include the formation and alteration of igneous ocean crust, subduction zone mass transfer, emplacement and evolution of ophiolites, processes of alteration and weathering of tectonically exhumed mantle peridotite, and the subsurface biosphere in the peridotite weathering environment. The bibliography is provided as a supplementary Excel spreadsheet with links to each paper, organized by topic but sortable by various factors.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2023)
Editorial Material
Automation & Control Systems
Michela Robba, Giulio Ferro, Rong Su, Christos G. Cassandras, Karl H. Johansson, Anuradha M. Annaswamy
Summary: The papers in this special section focus on the development of smart city networks, discussing the challenges and technological advances in sustainable and smart cities.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2022)
Editorial Material
Engineering, Electrical & Electronic
Ilko Ilev, David Nolte, Qiyin Fang, Giuliano Scarcelli, Yuji Matsuura, William Calhoun, Thomas Huser
Summary: Biophotonics is an emerging and rapidly growing field of advanced biomedical technologies that encompasses a wide range of applications, from laboratory research to clinical diagnostics, bioimaging, biosensing, and therapeutics.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2021)
Editorial Material
Computer Science, Artificial Intelligence
Gustavo Olague, Mario Koppen, Oscar Cordon
Summary: This article introduces the field of Evolutionary Computer Vision (ECV), which is at the intersection of computer vision (CV) and evolutionary computation (EC). ECV utilizes evolutionary algorithms and metaheuristic approaches combined with analytical methods to achieve human-competitive results. It aims to design software and hardware solutions for challenging CV problems and enhance our understanding of visual processing in nature.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2023)
Article
Behavioral Sciences
Edna C. Cieslik, Markus Ullsperger, Martin Gell, Simon B. Eickhoff, Robert Langner
Summary: Previous studies on error processing have primarily focused on the posterior medial frontal cortex, but the role of other brain regions has been underestimated. This study used activation likelihood estimation meta-analyses to explore brain activity related to committing errors and responding successfully in interference tasks. It was found that the salience network and the temporoparietal junction were commonly involved in both correct and incorrect responses, indicating their general involvement in coping with situations that require increased cognitive control. Error-specific convergence was observed in the dorsal posterior cingulate cortex, posterior thalamus, and left superior frontal gyrus, while successful responding showed stronger convergence in the dorsal attention network and lateral prefrontal regions. Underrecruitment of these regions in error trials may reflect failures in activating the appropriate stimulus-response contingencies necessary for successful response execution.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2024)
