Data-driven approaches to materials exploration and discovery are building momentum due to emerging advances in machine learning. However, parsimonious representations of crystals for navigating the ... , towards functional materials design and discovery. Representing materials in the format of natural language enables effective utilization of materials science knowledge learnt from evergrowing unstructured
characters, as well as genetic or other data. Tiger beetles are charismatic, of conservation concern, and much work has been done on the morphological delineation of species and subspecies, but few of these ... subspecies validity despite discordant data. The discovery and description of new biodiversity during an era of rapid species declines is vital for all the life sciences, especially because biodiversity is
In this paper, we present MatKG, a knowledge graph in materials science that offers a repository of entities and relationships extracted from scientific literature. Using advanced natural language ... comprehensive and integrated approach to organizing and sharing materials data is needed to enable effective data-driven discovery and to advance the field. One promising solution is the use of Knowledge graphs
The purpose of the present study is to predict and draw up non-grain cultivated land (NCL) susceptibility map based on optimized Extreme Gradient Boosting (XGBoost) model using the Particle Swarm ... takes Chenggu County, Hanzhong City, Shaanxi Province, as the research area. Based on the natural driving factors of NCL and utilizing various data mining methods, we quantitatively predict the spatial
characterizing this heterogeneity. In this study, we developed unsupervised joint machine learning between radiomic and genomic data, thereby identifying distinct glioblastoma subtypes. A retrospective cohort of ... Vol.:(0123456789) www.nature.com/scientificreports/ Characteristics Discovery cohort Replication cohort No. of patients, n (%) 285 286 With imaging and genomic data 131 (45.96) 115 (40.21
and mining. Data mining, in the form of cluster analysis and visualisation, was performed on a database containing deidentified health records of 1.28 million patients across 3 major hospitals in ... previously. This proof-ofconcept study showed that it is possible to perform mining on EHR data albeit with some challenges and limitations. Rare genetic diseases affect 5–8% of the population and account for
, Ethereum and Bitcoin Cash. Our method is based on the realisation that selfish mining behaviour will cause identifiable anomalies in the statistics of miner’s successive blocks discovery. Secondly, we apply ... learning framework, called SquirRL, to evaluate both single and multiple agent selfish mining attacks in Bitcoin, Monacoin and Litecoin, The empirical data they scraped is the estimated hourly total hash
employs the Elaboration Likelihood Model (ELM) and text data mining to examine how information strategies from government, businesses, and media influence consumer attitudes toward green consumption. The ... the combination of ELM theory and text data mining techniques to monitor public attitude change, applicable not only to green consumption but also to other fields. - Introduction 2021 i Driven by the
enables true auto-curation of HX data by mining a rich set of deuterated fragments, generated by collisional-induced dissociation (CID), to simultaneously confirm the peptide ID and authenticate MS1-based ... suitable number of peptides in the sample workup process. The method has been reviewed extensively in recent years4–12. The standardization of experimental and data reporting protocols have improved the 1
Healthcare professionals produce abounding textual data in their daily clinical practice. Text mining can yield valuable insights from unstructured data. Extracting insights from multiple information ... ( 2008 ). 11. Luque , C. et al. An advanced review on text mining in medicine . Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 ( 3 ), e1302 ( 2019 ). 12. Jensen , P. B. , Jensen , L
CRISPR-Cas systems and IS200/IS605 transposon-associated TnpBs have been utilized for the development of genome editing technologies. Using bioinformatics analysis and biochemical experiments, here ... revolution in the field of genome editing.12–16 A comprehensive understanding of bacterial defense systems and the discovery of specific molecular components within them may provide new insights into overcoming
atlas to new data. Applications in mosaic integration, pseudotime analysis and cross-tissue knowledge transfer on bone marrow mosaic datasets demonstrate the versatility and superiority of MIDAS. MIDAS is ... multimodal data. Such an atlas can serve as an encyclopedia, allowing researchers the ability to transfer knowledge to their new data and in-house studies13–15. Several methods for single-cell multimodal
interpreted and used by a broad community comprising both non-experts and AI (Fig. 1). Thus, the transformations of data to knowledge should be made with the explicit aim of democratizing the data and knowledge ... , and we should always ask of any data set: which transformations are required to produce a knowledge representation that is usable by as large a community as possible, including machines? Training AI to
by knowledge. Specifically, we focus on utilizing knowledge rule reasoning technology to extract topological semantic knowledge from interpretive data and employ knowledge inference to derive ... ) conversion of geological data into constraints of a topology knowledge graph, (2) mining of entity and relationship information in geological data through knowledge reasoning, and (3) expert determination of
Long-read-based de novo and somatic structural variant (SV) discovery remains challenging, necessitating genomic comparison between samples. We developed SVision-pro, a neural-network-based instance ... comparative SV detection and genotyping, addressing the challenges in de novo and somatic SV discovery from long-read data. SVision-pro visually compares genomic features encoded from sequencing alignments
as well as their ability to distinguish people with MS (PwMS) from healthy controls, recognize MS disability and fatigue levels. To this end, we formalize clinical knowledge and derive behavioral ... Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM KDD 2016), pp. 785–794 (2016). 58. Géron, A. Hands-on machine learning with scikit-learn and tensorflow
The lack of data democratization and information leakage from trained models hinder the development and acceptance of robust deep learning-based healthcare solutions. This paper argues that ... data . In: International Conference on Knowledge Discovery and Data Mining . 245 - 250 ( PMLR , 2001 ). 20. Vempala , S. S. The Random Projection Method Vol. 65 . (American Mathematical Soc ., 2005 ). 21
Drug repositioning is a faster and more affordable solution than traditional drug discovery approaches. From this perspective, computational drug repositioning using knowledge graphs is a very ... promising direction. Knowledge graphs constructed from drug data and information can be used to generate hypotheses (molecule/drug - target links) through link prediction using machine learning algorithms
investigates the deformation and damage characteristics of the surrounding rock in different stages using FLAC 3D numerical simulation, taking the facing-mining excavating roadway of this coal mine as the ... stability is conducted on-site, showing that the roadway is significantly affected by mining at the 50 m point ahead of the working face. Based on the numerical simulation and on-site monitoring results, the
This paper introduces the MinCan database that presents mine-level estimates for the Canadian mining industry with a persistent annual coverage between 1950 and 2022. These estimates are based on ... provincial and territorial data over secondary sources like Mindat and non-experts in the collection of information. Lastly, Natural Resources Canada hold additional mining statistics exist but are aggregated
