25 papers · ranked by Valyu relevance
Paola Handal-Marquez, Hoai Nguyen, Vitor B. Pinheiro
Directed evolution is a powerful tool that can bypass gaps in our understanding of the sequence-function relationship of proteins and still isolate variants with desired activities, properties, and substrate specificities. The rise of directed evolution platforms for polymerase engineering has accelerated the isolation…
Anne C.M. Jansen, Mario P.L. Calus, Yvonne C.J. Wientjes
The aim of animal breeding is to select the genetically best animals in the current generation to improve the performance of future generations for a specific breeding goal. With the continuous shift in breeding goals towards more balanced breeding, new traits may become of interest. Knowledge of the (indirect)…
V. S. Sai Subhash Mahamkali, Jensina Davis, Kyle Linders, James C. Schnable + 2 more
Crop domestication and subsequent improvement under modern agronomic conditions have altered the nitrogen (N) regimes experienced by crops, yet how selection has reshaped the genetic architecture of phenotypic responses to N availability remains poorly understood. Here, we integrated population genomic analyses of n =…
Authors not listed
The identification of kinetically feasible reaction pathways that connect a reactant to its product, including numerous intermediates and transition states, is crucial for predicting chemical reactions and elucidating reaction mechanisms. However, as molecular systems become increasingly complex or larger, the number…
Jonas Björk, Anton Nilsson, Carl Bonander, Ulf Strömberg
Background Selection and selection bias are terms that lack consistent definitions and have varying meaning and usage across disciplines. There is also confusion in current definitions between underlying mechanisms that lead to selection and their consequences. Consequences of selection on study validity must be judged…
Matthew E. Carroll, Luis G. Riera, Bradley A. Miller, Philip M. Dixon + 3 more
Spatial adjustments are used to improve the estimate of plot seed yield across crops and geographies. Moving mean and P-Spline are examples of spatial adjustment methods used in plant breeding trials to deal with field heterogeneity. Within trial spatial variability primarily comes from soil feature gradients, such as…
A. Carvajal-Rodríguez
Sexual selection plays a crucial role in modern evolutionary theory, offering valuable insight into evolutionary patterns and species diversity. Recently, a comprehensive definition of sexual selection has been proposed, defining it as any selection that arises from fitness differences associated with nonrandom success…
Claudia N. Sánchez, Mario Graff
Individual's semantics have been used for guiding the learning process of Genetic Programming solving supervised learning problems. The semantics has been used to proposed novel genetic operators as well as different ways of performing parent selection. The latter is the focus of this contribution by proposing three…
Mohamed Hanine, Omar Boutkhoum, Abdessadek Tikniouine, Tarik Agouti
Actually, a set of ETL software (Extract, Transform and Load) is available to constitute a major investment market. Each ETL uses its own techniques for extracting, transforming and loading data into data warehouse, which makes the task of evaluating ETL software very difficult. However, choosing the right software of…
Emily E Oor, Emilio Salinas, Terrence R Stanford
Attention mechanisms guide visuomotor behavior by weighing physical salience and internal goals to prioritize stimuli as choices for action. Although less well studied, selection history, which reflects multiple facets of experience with recent events, is increasingly recognized as a distinct source of attentional…
Oskar Marko, Sanja Brdar, Marko Panić, Isidora Šašić + 4 more
'Danica Despotović' 'Milivoje Knežević' 'Vladimir Crnojević' 'David A Lightfoot'] The aim of this work was to develop a method for selection of optimal soybean varieties for the American Midwest using data analytics. We extracted the knowledge about 174 varieties from the dataset, which contained information about…
Authors not listed
Machine learning (ML) has emerged as a transformative approach to accelerate material discovery. A critical challenge in building predictive ML models is the selection of representative and informative training datasets from large databases. In this study, we present a framework that integrates inducing points and…
Keshavarzian, Alireza, Valaee, Shahrokh
Time series classification stands as a pivotal and intricate challenge across various domains, including finance, healthcare, and industrial systems. In contemporary research, there has been a notable upsurge in exploring feature extraction through random sampling. Unlike deep convolutional networks, these methods…
Authors not listed
This paper addresses the challenges in cell line development (CLD), the lengthy and ambiguous clone screening in upstream biopharmaceutical production. Typically, only a small subset of the later stages of CLD data is used for manually selecting lead clones. Addressing this issue, we introduce a multivariate data…
Yosef Masoudi-Sobhanzadeh, Habib Motieghader, Ali Masoudi-Nejad
Background Feature selection, as a preprocessing stage, is a challenging problem in various sciences such as biology, engineering, computer science, and other fields. For this purpose, some studies have introduced tools and softwares such as WEKA. Meanwhile, these tools or softwares are based on filter methods which…
Muhammad Rajabinasab, Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek
'Arthur Zimek'] Abstract. Expressive evaluation metrics are indispensable for informative experiments in all areas, and while several metrics are established in some areas, in others, such as feature selection, only indirect or otherwise limited evaluation metrics are found. In this paper, we propose a novel evaluation…
Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim + 1 more
—While variable selection is essential to optimize the learning complexity by prioritizing features, automating the selection process is preferred since it requires laborious efforts with intensive analysis otherwise. However, it is not an easy task to enable the automation due to several reasons. First, selection…
Justus T. Metternich, Sujit K. Patjoshi, Tanuja Kistwal, Sebastian Kruss
Optical sensors/probes are powerful tools to identify and image (biological) molecules. Because of their optoelectronic properties, nanomaterials are often used as building blocks. Such nanosensors are assembled from an optically sensitive nanomaterial, a (biological) recognition unit, and linker chemistry that…
Muhammad Umar Chaudhry, Jee-Hyong Lee
Given the increasing size and complexity of datasets needed to train machine learning algorithms, it is necessary to reduce the number of features required to achieve high classification accuracy. This paper presents a novel and efficient approach based on the Monte Carlo Tree Search (MCTS) to find the optimal feature…
Mohammadhossein Ghahramani, Yan Qiao, MengChu Zhou, Adrian O’Hagan + 1 more
'James Sweeney'] Abstract—Smart Manufacturing refers to optimization techniques that are implemented in production operations by utilizing advanced analytics approaches. With the widespread increase in deploying Industrial Internet of Things (IIoT) sensors in manufacturing processes, there is a progressive need for…
Chengcheng Liu, Xuandong Wang, Weidong Cai, Jiahui Yang + 2 more
'Tomasz Trzepieciński'] Most failures in steel materials are due to fatigue damage, so it is of great significance to analyze the key features of fatigue strength (FS) in order to improve fatigue performance. This study collected data on the fatigue strength of steel materials and established a predictive model for FS…
Margaret R. Krause, Suchismita Mondal, José Crossa, Ravi P. Singh + 7 more
Breeding programs for wheat and many other crops require one or more generations of seed increase before replicated yield trials can be sown. Extensive phenotyping at this stage of the breeding cycle is challenging due to the small plot size and large number of lines under evaluation. Therefore, breeders typically rely…
Nicolas Ngo, Pierre Michel, Roch Giorgi
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Kouakou Ive Arsene Koffi, Konan Marcellin Brou, Souleymane Oumtanaga
RÉSUMÉ.La masse importanted'informationset à lacomplexité croissantedes applications contraignent les développeurs à avoir des composants autonomes et réutilisables des bibliothèques et des marchés de composants. Notre approche consiste à développer des méthodes pour évaluer la qualité du composant logiciel de ces…
Authors not listed
Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…