Editorial Material
Computer Science, Cybernetics
Amon Rapp, William Odom, Larissa Pschetz, Daniela Petrelli
Summary: This special issue explores new perspectives of time within HCI research, surpassing traditional views. The authors discuss how the HCI community has shifted from focusing on clock time to incorporating existential, social, and cultural dimensions of time. They also highlight open issues and opportunities that should be explored in future research and practice in HCI.
HUMAN-COMPUTER INTERACTION
(2022)
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
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
Robotics
Luigi Palmieri, Rudenko Andrey, Jim Mainprice, Marc Hanheide, Alexandre Alahi, Achim Lilienthal, Kai O. Arras
Summary: Long term human motion prediction is crucial for advanced autonomous systems to operate effectively in crowded and dynamic environments. Utilizing predictive techniques can enhance planning, control, perception, and human-robot interaction, ultimately leading to smoother and more accurate robot motion. The integration of deep learning architectures improves the accuracy of prediction modules connected with detection, segmentation, and tracking, enhancing different inference tasks.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Editorial Material
Engineering, Electrical & Electronic
Qiyin Fang, Charles Kervrann, David Nolte, Oxana Semyachkina-Glushkovskaya, Shuo Tang, Yuji Matsuura, Zachary Smith
Summary: Biophotonics is an interdisciplinary field that combines photonics and biomedical applications. It has made significant advancements in clinical diagnosis, therapeutics, biotechnology, and environmental studies. The integration of optics and biology has led to quick adoption of photonics technologies in medicine due to its compatibility with minimally invasive procedures.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2023)
Editorial Material
Engineering, Electrical & Electronic
Jose Capmany, Christina Lim, Kazutosi Kato, Patrick Runge, Andreas Beling
Summary: The papers in this special section focus on optical detectors and the conversion from photons to electrons, which is a crucial operation in photonic systems. The development in the past five decades, especially based on heterostructures, quantum wells, and uni-carrier operation, has yielded impressive results in terms of bandwidth, noise, and footprint.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2022)
Editorial Material
Computer Science, Hardware & Architecture
Jean-Pierre Hamaide, Christian Lerminiaux, Philippe Chanclou, Pierre Sillard
Summary: This special issue includes extensions of tutorials and invited and top-scored optical networking papers that were presented at the European Conference on Optical Communication (ECOC) 2021, held 13-16 September 2021 in Bordeaux, France.
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING
(2022)
Article
Computer Science, Cybernetics
Noemi Mauro, Federica Cena, Cynthia Putnam, Maria Soledad Pera, David Roldan Alvarez
Summary: This special issue focuses on the state-of-the-art research in intelligent systems and technology for individuals with diverse abilities. Cognitive diversity, including neurodevelopmental disorders, autism, cognitive and learning disabilities, and dementia, is particularly emphasized. The introduction of the papers in this special issue helps to contextualize them within different research areas. By curating cutting-edge contributions in this field, the aim is to raise awareness of the research challenges and requirements involved in developing and assessing systems for these user categories.
HUMAN-COMPUTER INTERACTION
(2023)
Editorial Material
Computer Science, Hardware & Architecture
Ramon Casellas, Raul Munoz, Marija Furdek, Salvatore Spadaro, Zuqing Zhu
Summary: This special issue of JOCN includes extended versions of selected papers presented at the 24th International Conference on Optical Network Design and Modeling (ONDM2020), covering current trends in optical networking research such as filterless optical networks, programmable transceivers, and machine learning applications in networks.
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING
(2021)
Editorial Material
Acoustics
Libertario Demi, Marie Muller
Summary: The potential of lung ultrasound has been highlighted during the COVID-19 pandemic, leading to research efforts to understand and model the physical phenomena involved in ultrasound propagation for assessing lung structure changes both qualitatively and quantitatively.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2021)
Editorial Material
Acoustics
James F. Lynch, Charles C. Church
Summary: In this article, 48 papers are presented, discussing the acoustical impacts of the COVID-19 pandemic and how to address them. These papers are divided into seven categories, including physical masking and speech production, speech perception, noise, the underwater soundscape, the urban soundscape, pathogen transmissibility, and medical diagnosis.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2023)
Editorial Material
Business
Muhammad S. Akram, Yogesh K. Dwivedi, Mahmud A. Shareef, Zeeshan A. Bhatti
Summary: This editorial provides an overview of a Special Issue of Technological Forecasting & Social Change on the behavioural and social implications of a digitally disruptive environment in the context of social customer journeys. The issue includes fifteen articles that explore various theoretical, contextual, and methodological perspectives on this topic.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Editorial Material
Engineering, Electrical & Electronic
Guillermo Carpintero, Elliott Brown, Tadao Nagatsuma, Pham Tien Dat, Lute Maleki, Daniel Yap, Andreas Stohr
Summary: This Special Issue of the IEEE/OSA Journal of Selected Topics in Quantum Electronics on Terahertz Photonics provides an overview of the latest developments in the field, covering a wide range from 100 GHz to 10 THz. Terahertz Photonics has played a leading role in accessing the Terahertz range, enabling important demonstrations in areas such as broadband communications, spectroscopy, and imaging through innovative THz sources and detectors.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2023)
Editorial Material
Engineering, Civil
Stephan Olariu, Samy El-Tawab
Summary: Traffic state estimation refers to the measurement or inference of key traffic state variables, such as density, flow, speed, and delay, using a combination of observed and derived traffic-related data. Recent advancements in vehicular networking, sensor technology, and computer and communications paradigms have made real-time estimation of traffic state parameters technically feasible, yet still challenging.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Editorial Material
Communication
Winifred R. Poster
Summary: This special issue expands research on the various forms of deception in the digital economy, focusing on the institutions, labor, and platforms involved in online scams, fakes, and frauds.
NEW MEDIA & SOCIETY
(2022)
Article
Genetics & Heredity
Nicholas Santantonio, Jean-Luc Jannink, Mark Sorrels
Article
Biotechnology & Applied Microbiology
Haixiao Hu, Juan J. Gutierrez-Gonzalez, Xinfang Liu, Trevor H. Yeats, David F. Garvin, Owen A. Hoekenga, Mark E. Sorrells, Michael A. Gore, Jean-Luc Jannink
PLANT BIOTECHNOLOGY JOURNAL
(2020)
Article
Agronomy
Lynn D. Veenstra, Jesse Poland, Jean-Luc Jannink, Mark E. Sorrells
Article
Genetics & Heredity
Roberto Lozano, Gregory T. Booth, Bilan Yonis Omar, Bo Li, Edward S. Buckler, John T. Lis, Dunia Pino Del Carpio, Jean-Luc Jannink
Summary: New mechanisms of gene expression regulation that play important roles in plants have been identified, which have the potential to aid in crop improvement.
G3-GENES GENOMES GENETICS
(2021)
Article
Biology
Kaue de Sousa, Jacob van Etten, Jesse Poland, Carlo Fadda, Jean-Luc Jannink, Yosef Gebrehawaryat Kidane, Basazen Fantahun Lakew, Dejene Kassahun Mengistu, Mario Enrico Pe, Svein Oivind Solberg, Matteo Dell'Acqua
Summary: The study introduces a data-driven decentralized crop breeding approach called 3D-breeding, which aims to improve yields for smallholder farmers and demonstrates higher prediction accuracies for grain yield in a durum wheat case study in Ethiopia. 3D-breeding doubles the prediction accuracy of the benchmark, identifying genotypes with enhanced local adaptation for superior productive performance across seasons. This decentralized approach leverages the diversity in farmer fields to enhance local adaptation in challenging crop production environments.
COMMUNICATIONS BIOLOGY
(2021)
Article
Genetics & Heredity
Ariel W. Chan, Seren S. Villwock, Amy L. Williams, Jean-Luc Jannink
Summary: The study found that in cassava, females have higher recombination rates than males, and lower rates are observed in M. glaziovii introgression segments. Particularly, on chromosome 4, recombination is suppressed throughout the entire chromosome.
G3-GENES GENOMES GENETICS
(2022)
Article
Genetics & Heredity
Mao Huang, Kelly R. Robbins, Yaoguang Li, Schery Umanzor, Michael Marty-Rivera, David Bailey, Charles Yarish, Scott Lindell, Jean-Luc Jannink
Summary: This study assesses the obstacles for genetic gain in sugar kelp and identifies key factors for improving genetic gain through simulation approaches. The researchers demonstrate the importance of inducing reproduction in farm-tested sporophytes and accelerating the growth of released gametophytes.
G3-GENES GENOMES GENETICS
(2022)
Article
Genetics & Heredity
Lauren J. Brzozowski, Haixiao Hu, Malachy T. Campbell, Corey D. Broeckling, Melanie Caffe, Lucia Gutierrez, Kevin P. Smith, Mark E. Sorrells, Michael A. Gore, Jean-Luc Jannink
Summary: This study investigates the variation and genetic influence on the metabolite profiles of oats, specifically the seed metabolites with antioxidant properties. The research finds reduced genetic variation in modern oat germplasm compared to diverse germplasm, mainly due to increased seed size from intensive breeding. The abundance of avenanthramides, one of the specialized metabolites, increases with seed size, while avenacoside abundance decreases. The study highlights the importance of understanding how plant breeding influences plant traits and the genetic basis behind these changes.
G3-GENES GENOMES GENETICS
(2022)
Article
Plant Sciences
Lauren J. Brzozowski, Malachy T. Campbell, Haixiao Hu, Melanie Caffe, Lucia Gutierrez, Kevin P. Smith, Mark E. Sorrells, Michael A. Gore, Jean-Luc Jannink
Summary: In this study, we tested the applicability of genomic prediction methods based on biochemical pathways for oat seed metabolites. The results showed that metabolite kernels developed from the discovery panel significantly improved the prediction accuracy of the same metabolites in the validation panel. However, this method did not improve the prediction accuracy for GC-MS metabolites.
Article
Agronomy
Lauren Brzozowski, Solveig Hanson, Jean-Luc Jannink, Brigid Meints, Virginia Moore, Hale Tufan, Seren Villwock
Summary: Plant breeding is crucial to agriculture and has led to significant changes in agricultural production systems with social, political, economic, and environmental consequences. Reflecting on the history of plant breeding in the United States, this perspective essay explores the need for equitable food systems and proposes a framework for equitable plant breeding to encourage reflection, discussions, and actions towards greater equity in the food and seed systems.
Article
Multidisciplinary Sciences
Moshood A. Bakare, Siraj Ismail Kayondo, Cynthia Aghogho, Marnin D. Wolfe, Elizabeth Y. Parkes, Peter Kulakow, Chiedozie Egesi, Ismail Yusuf Rabbi, Jean-Luc Jannink
Summary: This study focused on the genotype-by-environment interactions in cassava breeding program to identify target environments and stable clones for future testing and selection. The results showed that there were significant interactions between genotype and environment, and different environments had different rankings for clone performance. Several stable clones with high yield performance and stability were identified.
Article
Genetics & Heredity
Ella Taagen, Katherine Jordan, Eduard Akhunov, Mark E. Sorrells, Jean-Luc Jannink
Summary: Meiotic recombination is a source of allelic diversity but its low frequency and biased distribution limit genetic variation in plant breeding. Increasing recombination frequency may result in loss of genetic variation and decrease in genomic prediction accuracy. Existing breeding methods are more efficient in retaining genetic variation and increasing genetic gains compared to a controlled recombination approach.
G3-GENES GENOMES GENETICS
(2022)
Article
Plant Sciences
Lauren J. J. Brzozowski, Malachy T. T. Campbell, Haixiao Hu, Linxing Yao, Melanie Caffe, Lucia Gutierrez, Kevin P. P. Smith, Mark E. E. Sorrells, Michael A. A. Gore, Jean-Luc Jannink
Summary: This study examines genomic prediction methods for predicting seed fatty acid content traits in oat, and finds that using related germplasm panels as training populations can improve prediction accuracy.
Article
Agronomy
Alfred Ozimati, Robert Kawuki, Williams Esuma, Siraj I. Kayondo, Anthony Pariyo, Marnin Wolfe, Jean-Luc Jannink
Article
Agronomy
Lynn D. Veenstra, Nicholas Santantonio, Jean-Luc Jannink, Mark E. Sorrells
