Article
Computer Science, Software Engineering
Yanjie Zhao, Li Li, Haoyu Wang, Qiang He, John Grundy
Summary: Android developers often need to learn how to use different APIs suitable for their projects. Existing automated API recommendation approaches for Android app development are often redundant and have poor run-time performance. To improve this, we propose a new tool called APIMatchmaker, which recommends API usages by learning from similar real-world Android apps. Unlike existing approaches, we introduce a multi-dimensional, context-aware, collaborative filtering approach that considers both code similarity and app descriptions to ensure similar apps provide similar functions. Evaluation results show that APIMatchmaker outperforms state-of-the-art methods in recommending APIs for Android app development.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Pan Yang, Ximing Cai, Xinchen Hu, Qiankun Zhao, Yuanyao Lee, Madhu Khanna, Yoel R. Cortes-Pena, Jeremy S. Guest, Jeffrey Kent, Tara W. Hudiburg, Erhu Du, Steve John, Fred Iutzi
Summary: The development of the cellulosic bioeconomy requires technological, economic, and policy advances, as well as effective communication and coordination among stakeholders. This study introduces an agent-based model as a communication tool to simulate stakeholder behavior and interactions, showing the tool's role in facilitating community communication. The research emphasizes the importance of subsidy for small-scale bio-facilities in rapidly initializing the cellulosic bioeconomy.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Computer Science, Artificial Intelligence
Melanie Munch, Patrice Buche, Stephane Dervaux, Juliette Dibie, Liliana Ibanescu, Cristina Manfredotti, Pierre-Henri Wuillemin, Helene Angellier-Coussy
Summary: This paper presents a workflow for designing transformation processes and answering expert questions about them. By using semantic and probabilistic relational models, the workflow can analyze processes and provide explanatory models. An example application in biocomposites manufacturing for food packaging is given.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Geological
Bruno Stuyts, Wout Weijtjens, Christof Devriendt
Summary: This article introduces a method for back-analyzing and updating offshore wind farms using digital twins. By developing a serverless cloud application and combining it with an API layer, geotechnical and structural data can be stored and retrieved quickly and reliably. By retrieving parametric data across the entire wind farm, foundation stiffness can be calculated and updated.
Article
Computer Science, Information Systems
Andrei Carniel, Juliana De Melo Bezerra, Celso Massaki Hirata
Summary: We propose an ontology-based STPA tool, called AppSTPA, that provides more systematic, automated, and guided analyses. Our tool supports analysts and provides valuable suggestions, resulting in better safety analyses.
Article
Chemistry, Analytical
Mika Ishigaki, Atsushi Ito, Risa Hara, Shun-ichi Miyazaki, Kodai Murayama, Sana Tusji, Miho Inomata, Keisuke Yoshikiyo, Tatsuyuki Yamamoto, Yukihiro Ozaki
Summary: We aimed to develop an analytical method using near-infrared (NIR) spectroscopy based on amino acid sequences. Detailed analysis of NIR spectra of different amino acid aqueous solutions and tripeptide organic solutions revealed characteristic spectral patterns that can be used to identify amino acids and evaluate their concentrations. This study not only demonstrated the usefulness of NIR spectroscopy in synthesizing peptides but also proposed a general method for analyzing NIR spectra obtained in chemical synthesis processes.
Article
Biochemical Research Methods
Frank Vogt, Gautam Shirsekar, Detlef Weigel
Summary: vcf2gwas is a convenient package that streamlines the traditional GWAS workflow and enhances reproducibility.
Editorial Material
Pharmacology & Pharmacy
Jizhou Wang, Neeru Takiar
Summary: This article summarizes five high impact issues related to stability studies for drug substances in Type II drug master files (DMFs) supporting Abbreviated New Drug Applications (ANDAs). It provides scientific considerations and perspectives to avoid these issues, reduce DMF review time, and accelerate the approvals of supporting ANDAs.
Article
Chemistry, Applied
Rachel Bade, Jameson R. Bothe, Eric Sirota, Andrew P. J. Brunskill, Justin A. Newman, Yongqian Zhang, Melissa Tan, Michelle Zheng, Gilmar Brito, Marc Poirier, Patrick S. Fier, Yingju Xu, Michael D. Ward, Kevin Stone, Ivan H. Lee, Andrew J. Gmitter, Frank Bernardoni, Michael A. Zompa, Hanlin Luo, Sanjaykumar Patel, Tina Masiuk, Jeff Mora, Tong Ni, Grace A. Okoh, James Tarabokija, Jiaying Liu, Michael B. Lowinger, Tariq Mahmood
Summary: Molnupiravir, a nucleoside analog, has been found effective for treating COVID-19 patients. Merck & Co. Inc. partnered with Ridgeback Biotherapeutics to develop a manufacturing process for this drug in anticipation of high global demand. They performed risk assessment to address the potential impact of physical attributes on drug performance and designed a scalable crystallization process to ensure consistent drug substance production.
ORGANIC PROCESS RESEARCH & DEVELOPMENT
(2023)
Article
Environmental Sciences
Keith Taylor
Summary: Hybrid institutions combine features of charity, public service, and business, serving as important centers of innovation, particularly in the cooperative business sector, especially in the United States. Through case studies, it is found that with proper support systems and actors, hybrids can flourish and have significant impacts on stakeholders and the market.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Andrei Tara, Hjalmar K. Turesson, Nicolae Natea, Henry M. Kim
Summary: This article addresses the centralization risk in a decentralized marketplace for AI services by exploring alternative data storage options. Through performance experiments, it concludes that simple peer-to-peer storage is the best option.
Article
Multidisciplinary Sciences
Maulik R. Kamdar, Mark A. Musen
Summary: Despite the efforts to create Life Sciences Linked Open Data (LSLOD) cloud, there are still semantic heterogeneity issues across biomedical linked open data sources. Some sources are standalone, lack inter-linkage, and use unpublished schemas with minimal reuse or mappings. The LSLOD schema graph analysis in this research provides assistance to researchers querying and integrating data from multiple biomedical sources simultaneously on the Web.
Article
Multidisciplinary Sciences
Ramona Leenings, Nils Ralf Winter, Lucas Plagwitz, Vincent Holstein, Jan Ernsting, Kelvin Sarink, Lukas Fisch, Jakob Steenweg, Leon Kleine-Vennekate, Julian Gebker, Daniel Emden, Dominik Grotegerd, Nils Opel, Benjamin Risse, Xiaoyi Jiang, Udo Dannlowski, Tim Hahn
Summary: PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development, supporting iterative model development and automating repetitive tasks. It extends existing solutions with a novel pipeline implementation supporting complex data streams, feature combinations, and algorithm selection, allowing convenient visualization and model sharing.
Article
Engineering, Industrial
Sara Antomarioni, Filippo Emanuele Ciarapica, Maurizio Bevilacqua
Summary: This paper proposes a data-driven framework for analyzing failures in production processes using Failure Mode, Effect, and Criticality Analysis (FMECA), and utilizes techniques such as machine learning and social network analysis to extract cause-effect relationships and detect critical patterns. The knowledge gained from this analysis can provide support for plant awareness and the development of intelligent maintenance procedures.
Article
Computer Science, Interdisciplinary Applications
Jose Antonio Bernabe-Diaz, Manuel Franco, Juana-Maria Vivo, Manuel Quesada-Martinez, Jesualdo T. Fernandez-Breis
Summary: This paper examines the behavior of metrics in different scenarios and proposes a method to assess their reliability using stability and goodness of cluster criteria. The results demonstrate the analytical power of the method in analyzing various metrics in the biomedical field.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Review
Food Science & Technology
Giles T. Hanley-Cook, Aisling J. Daly, Roseline Remans, Andrew D. Jones, Kris A. Murray, Inge Huybrechts, Bernard De Baets, Carl Lachat
Summary: Dietary diversity is an important public health principle, and its measurement is crucial for assessing diet quality and food security. However, the conventional methods fail to capture the full range of food diversity, thus requiring further improvement and adaptation.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Article
Remote Sensing
Amna Qayyum, Bernard De Baets, Laure De Cock, Frank Witlox, Guy De Tre, Nico Van de Weghe
Summary: This paper explores the micro-scale traffic interactions at intersections and presents a novel approach to detect and represent the micro-scale traffic movement interactions at a non-signalized T-junction. The study shows that this approach allows for more detailed tracking of vehicle movements and plays an important role in traffic safety assessment.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Article
Statistics & Probability
Matthys Lucas Steyn, Tertius de Wet, Bernard De Baets, Stijn Luca
Summary: This article proposes an open-set recognition model based on extreme value statistics, which introduces a distance ratio to express the dissimilarity between a target point and known classes, and uses the class of generalized Pareto distributions to model the peaks of the distance ratio, providing a probabilistic framework for open-set recognition.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Arne Deloose, Glenn Gysels, Bernard De Baets, Jan Verwaeren
Summary: This paper explores the use of natural language processing techniques to predict structured metadata in failure notifications. It highlights the challenges posed by the technical nature of the texts and the use of sentence fragments and abbreviations. The authors demonstrate that considering the dependencies between different components of the metadata and treating the prediction problem as a multidimensional classification problem can improve label prediction reliability.
COMPUTERS IN INDUSTRY
(2023)
Article
Computer Science, Theory & Methods
Yi Shi, Bin Pang, Bernard De Baets
Summary: In this article, the relationships between the fuzzy betweenness relations and three important mathematical notions, such as fuzzy interval operators, fuzzy partial orders, and fuzzy Peano-Pasch spaces, are explored in the setting of complete residuated lattices. The resulting category of fuzzy betweenness relations with respect to a fuzzy equivalence relation is shown to be isomorphic to that of geometric fuzzy interval spaces. A fuzzy partial order is constructed from a fuzzy betweenness relation, and its relationships are analyzed in depth. Furthermore, the concept of a fuzzy betweenness field is introduced, and it is shown that a vector space over a fuzzy betweenness field can yield a fuzzy Peano-Pasch space in the setting of completely distributive lattices.
FUZZY SETS AND SYSTEMS
(2023)
Article
Computer Science, Theory & Methods
Lemnaouar Zedam, Bernard De Baets
Summary: In this paper, the concept of a t-norm on bounded pseudo-ordered sets and bounded trellises is introduced, along with some basic examples. The impact of abandoning transitivity is discussed, highlighting that the meet operation is not a t-norm on a proper bounded trellis, and there may be no or multiple maximal t-norms. A generic construction method is provided to extend a t-norm on an interior range of a given perpendicular to-semi-trellis to the entire trellis, with a specific instantiation based on a finite sub-trellis of right-transitive elements. The focus is also on bounded pseudo-chains and modular trellises. (c) 2023 Elsevier B.V. All rights reserved.
FUZZY SETS AND SYSTEMS
(2023)
Article
Water Resources
Jorn van de Velde, Matthias Demuzere, Bernard De Baets, Niko Verhoest
Summary: This study presents a weather generator combining Bartlett-Lewis models and vine copulas, which can generate time series with statistics similar to those of the input. The generator shows adequate performance in terms of statistical moments and correlation, making it useful for characterizing future extremes.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Biochemistry & Molecular Biology
Maida Hadzic, Yitong Sun, Nikolina Tomic, Eirini Tsirvouli, Martin Kuiper, Lejla Pojskic
Summary: Dysregulation of apoptosis is a characteristic of the development of solid and hematological malignancies. Halogenated boroxine (HB) is a derivative of cyclic anhydride of boronic acid, which exhibits reproducible anti-tumor and anti-proliferative effects in tumor cells. The mechanism of action of HB involves ROS generation, TRAIL-like activation, and inhibition of the NF kappa B signaling pathway in tumor cells, leading to apoptosis.
Article
Computer Science, Artificial Intelligence
Alicia Robles-Velasco, Pablo Cortes, Jesus Munuzuri, Bernard De Baets
Summary: This study proposes the use of multi-label classification techniques to predict pipe failures in water supply systems for multiple years. Various models and prediction time periods are analyzed, showing successful results in avoiding pipe failures over time.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Theory & Methods
Barbara Wolnik, Anna Nenca, Bernard De Baets
Summary: This paper discusses two-dimensional cellular automata on a triangular grid that maintain the sum of all cell states. To investigate such automata, the split-and-perturb decomposition method is applied to triangular grids, which was originally developed for square grids. This results in a new mathematical tool that can enumerate k-ary number-conserving cellular automata on a triangular grid, regardless of the value of k.
THEORETICAL COMPUTER SCIENCE
(2023)
Article
Infectious Diseases
Waldemar Baldoquin Rodriguez, Mayelin Mirabal, Patrick Van der Stuyft, Tania Gomez Padron, Viviana Fonseca, Rosa Maria Castillo, Sonia Monteagudo Diaz, Jan M. Baetens, Bernard De Baets, Maria Eugenia Toledo Romani, Veerle Vanlerberghe
Summary: In order to improve dengue prevention and control efforts, the use of routinely collected data to develop risk maps is recommended. By using data from two municipalities in Cuba, dengue experts identified indicators representative of entomological, epidemiological, and demographic risks to construct risk maps. However, there was low agreement between vulnerability and incidence-based risk maps in areas with a prolonged history of dengue transmission, suggesting that an incidence-based approach may not fully capture the complexity of vulnerability.
TROPICAL MEDICINE AND INFECTIOUS DISEASE
(2023)
Article
Computer Science, Information Systems
Barbara Wolnik, Maciej Dziemianczuk, Bernard De Baets
Summary: In this paper, non-uniform elementary cellular automata on the infinite grid in the context of number conservation are studied. The study provides a comprehensive description of these automata. Previous research only focused on finite grids and derived hypotheses based on computer experiments. It is found that when considering number conservation for non-uniform cellular automata, the infinite grid cannot be treated as a limiting case of finite grids.
INFORMATION SCIENCES
(2023)
Article
Ecology
Wissam Barhdadi, Aisling J. Daly, Jan M. Baetens, Bernard De Baets
Summary: Individual biology influences population dynamics dependent on the environment through life history. Recent research has integrated metabolic theory with individual-based models to explore the link between individual physiology and demography. However, current population models do not consider individual behaviors, relying instead on imposed population-level relationships. This study proposes extending the model to include individual-scale behaviors and demonstrates its effectiveness in simulating consumer dynamics in a heterogeneous environment.
Article
Physics, Fluids & Plasmas
Barbara Wolnik, Anna Nenca, Adam Dzedzej, Bernard De Baets
Summary: This paper discusses two-dimensional cellular automata with rotation symmetry and number conservation. It is shown that if the number of states k is smaller than or equal to six, then each rotation-symmetric number-conserving cellular automaton is isomorphic to some k-ary one. However, an example of a seven-state rotation-symmetric number-conserving cellular automaton is provided in this paper, which demonstrates the importance of not only focusing on cellular automata with {0, 1, ..., k-1} as state sets.
Proceedings Paper
Computer Science, Information Systems
Hans De Meyer, Bernard De Baets
Summary: This passage highlights the importance of calculating pairwise winning probabilities between components of random vectors and the reciprocal relation derived from these probabilities can be used as an alternative to establish a stochastic dominance order.
BUILDING BRIDGES BETWEEN SOFT AND STATISTICAL METHODOLOGIES FOR DATA SCIENCE
(2023)
