Review
Chemistry, Multidisciplinary
Mikhail Pashchanka
Summary: In recent years, researchers in the field of aluminum anodizing have made significant breakthroughs but faced challenges in interpreting some new experimental findings due to the lack of adequate theoretical models. This led to the development of new interdisciplinary investigations and theoretical models, with a particular focus on electroconvection-based theories. These theories have significantly advanced the understanding of the porous anodic alumina formation process over the past 15 years.
Article
Environmental Sciences
Zachary A. Wendling, Mathew Jacob, Daniel C. Esty, John W. Emerson
Summary: Every country needs to improve its environmental performance and understand the factors associated with successful attainment of environmental sustainability goals. This study analyzes the 2020 Environmental Performance Index, revealing the variations in performance among nations and across different areas. The quality of governance is found to be a significant factor in environmental performance, and there is a moderate association between economic liberalism and EPI scores.
ENVIRONMENTAL DEVELOPMENT
(2022)
Article
Engineering, Civil
Marta Guimaraes, Claudia Soares, Rodrigo Ventura
Summary: This paper presents decision support models for different stages of connection flight management using machine learning. The models can predict missed flight connections and analyze contributing factors. By employing specific data processing techniques and boosting, the models achieve high predictive performance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Biodiversity Conservation
Christine Howard, Tom H. E. Mason, Stephen R. Baillie, Jennifer Border, Chris M. Hewson, Alasdair I. Houston, James W. Pearce-Higgins, Silke Bauer, Stephen G. Willis, Philip A. Stephens
Summary: Many migratory species are declining due to global environmental change. A new migration modelling framework called Spatially explicit Adaptive Migration Models (SAMMs) is introduced to simulate behavioral decisions of migratory species in response to environmental change. SAMMs provide a tool for researchers to understand and study the impacts of environmental change on migratory journeys.
DIVERSITY AND DISTRIBUTIONS
(2023)
Article
Automation & Control Systems
Alberto Barbado, Oscar Corcho
Summary: This study combines unsupervised anomaly detection techniques, domain knowledge, and interpretable machine learning models to explain abnormal fuel consumption in vehicle fleets. Results evaluated on real-world data show that this approach provides recommendations for fuel optimization adjusted to different user profiles.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Geography, Physical
Dorian Q. Fuller, Tim Denham, Logan Kistler, Chris Stevens, Greger Larson, Amy Bogaard, Robin Allaby
Summary: Abbo and Gopher criticize our lack of innovation in the study of domestication and dispute our key conclusions. However, we argue that our recent contributions demonstrate progress by building upon previous ideas, empirical evidence, and new data to propose new perspectives and frameworks.
QUATERNARY SCIENCE REVIEWS
(2022)
Article
Computer Science, Artificial Intelligence
John Brandon Graham-Knight, Corey Bond, Homayoun Najjaran, Yves Lucet, Patricia Lasserre
Summary: This paper proposes finding network architectures that achieve similar performance while promoting diversity for ensembling. Prediction performance and diversity of various network sizes and activation functions applied to semantic segmentation are explained. The study shows that performance and diversity can be predicted from neural network architecture using explainable boosting machines. A grid search of 144 models is performed, and many of the models exhibit no significant difference in mean performance within a 95% confidence interval. It is found that the best performing models have varied network architecture parameters and diversity between models can be achieved by varying network size. Moreover, homogeneous network sizes generally show positive correlation in predictions and larger models tend to converge to similar solutions.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Review
Hospitality, Leisure, Sport & Tourism
Antonio Castilla-Polo, Raquel Huete-Nieves, Alejandro Mantecon, Carlos Rosa-Jimenez
Summary: This study conducts a comprehensive literature review on residential mobilities related to leisure, revealing a polarized academic debate with two research trends: one focused on emigrants' issues and the other on the effects on destinations.
CURRENT ISSUES IN TOURISM
(2022)
Review
Optics
Xiufang Chen, Xianglong Yang, Xuejian Xie, Yan Peng, Longfei Xiao, Chen Shao, Huadong Li, Xiaobo Hu, Xiangang Xu
Summary: SiC semiconductor is the focus of international research and an important material for China's carbon emission reduction. Shandong University has made significant progress in crystal growth, defect control, electrical properties, and device authentication of SiC crystals. The dislocation density and impurity concentrations have been greatly reduced, while the resistivity and performance of devices have been improved.
LIGHT-SCIENCE & APPLICATIONS
(2023)
Article
Environmental Sciences
R. Suresh, Saravanan Rajendran, Tuan K. A. Hoang, Dai-Viet N. Vo, Mohammad Nahid Siddiqui, Lorena Cornejo-Ponce
Summary: Current research focuses on utilizing green synthesized photocatalysts and biopolymers to reduce the impact of pollutants on the environment, with a particular emphasis on the role of biopolymers in photocatalysis.
ENVIRONMENTAL RESEARCH
(2021)
Article
Biochemical Research Methods
Simon Ott, Adriano Barbosa-Silva, Matthias Samwald
Summary: Researchers have developed a software suite called LinkExplorer for predicting, explaining, and exploring links in large biomedical knowledge graphs. The suite integrates a rule-based link prediction engine SAFRAN and provides a web interface for interactive and intuitive exploration of predicted links and their explanations.
Article
Environmental Sciences
Sushu Zhang, Xiaoyu Ou, Qian Xiang, Sonia A. C. Carabineirob, Jiajie Fan, Kangle Lv
Summary: This review introduces the unique photocatalytic performance of metal sulfide photocatalysts in solar-to-fuel conversion and environmental purification, and discusses strategies to improve their photocatalytic activity and photostability.
Review
Biochemistry & Molecular Biology
Jinyin Zha, Mingyu Li, Ren Kong, Shaoyong Lu, Jian Zhang
Summary: Allostery is an important regulatory phenomenon in life processes and disease therapy, but studying it has been challenging due to the lack of knowledge. To address this, we created the Allosteric Database (ASD) and reviewed the four categories of data in this database and how researchers have utilized them for their studies. Several new drug targets and allosteric modulators discovered through the use of ASD are also highlighted.
JOURNAL OF MOLECULAR BIOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Sima Zach, Orly Yazdi-Ugav
Summary: The study found that learning disorders (LD) explain all dependent variables in the model. There is a valid reason for the controversy between policy makers focusing on academic achievement and early childhood educators emphasizing social skills and behavior.
Article
Computer Science, Interdisciplinary Applications
Swagato Chatterjee, Meghraj Panmand
Summary: In the age of social media, click-baits have become very common. The purpose of this study is to explore how the contents of the social media posts and the article can be used to explain and predict the virality of a click-bait.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2022)
