Rashid Zaman,Marwan Hassani,Boudewijn F Van Dongen
Rashid Zaman
In the context of process mining, event logs consist of process instances called cases. Conformance checking is a process mining task that inspects whether a log file is conformant with an existing process model. This inspection is addition...
Deep Learning Exploration of Agent-Based Social Network Model Parameters [0.03%]
基于代理的社交网络模型参数的深度学习探索
Yohsuke Murase,Hang-Hyun Jo,János Török et al.
Yohsuke Murase et al.
Interactions between humans give rise to complex social networks that are characterized by heterogeneous degree distribution, weight-topology relation, overlapping community structure, and dynamics of links. Understanding these characterist...
The Rise of Populism and the Reconfiguration of the German Political Space [0.03%]
民粹主义的兴起与德国政治空间的重构
Eckehard Olbrich,Sven Banisch
Eckehard Olbrich
The paper explores the notion of a reconfiguration of political space in the context of the rise of populism and its effects on the political system. We focus on Germany and the appearance of the new right wing party "Alternative for German...
Prognostic Factors of Survival in Pancreatic Cancer Metastasis to Liver at Different Ages of Diagnosis: A SEER Population-Based Cohort Study [0.03%]
不同诊断年龄的肝转移胰腺癌预后生存因素分析：一项基于SEER数据库的队列研究
Meiqi Liu,Moran Wang,Sheng Li
Meiqi Liu
Background: Liver is a common metastatic organ for most malignancies, especially the pancreas. However, evidence for prognostic factors of pancreatic cancer metastasis to the liver at different ages is lacking. Thus, we aimed to evaluate th...
NPARS-A Novel Approach to Address Accuracy and Reproducibility in Genomic Data Science [0.03%]
NPARS-解决基因组数据科学中准确性和可重复性问题的新方法
Li Ma,Erich A Peterson,Ik Jae Shin et al.
Li Ma et al.
Background: Accuracy and reproducibility are vital in science and presents a significant challenge in the emerging discipline of data science, especially when the data are scientifically complex and massive in size. Further complicating mat...
Statistical Enrichment Analysis of Samples: A General-Purpose Tool to Annotate Metadata Neighborhoods of Biological Samples [0.03%]
样品的统计富集分析：一个给生物样品元数据邻域注释的通用工具
Thanh M Nguyen,Samuel Bharti,Zongliang Yue et al.
Thanh M Nguyen et al.
Unsupervised learning techniques, such as clustering and embedding, have been increasingly popular to cluster biomedical samples from high-dimensional biomedical data. Extracting clinical data or sample meta-data shared in common among biom...
TSI-GNN: Extending Graph Neural Networks to Handle Missing Data in Temporal Settings [0.03%]
TSI-GNN：扩展图神经网络以处理时间设置中的缺失数据
David Gordon,Panayiotis Petousis,Henry Zheng et al.
David Gordon et al.
We present a novel approach for imputing missing data that incorporates temporal information into bipartite graphs through an extension of graph representation learning. Missing data is abundant in several domains, particularly when observa...
Data Ecosystems for Scientific Experiments: Managing Combustion Experiments and Simulation Analyses in Chemical Engineering [0.03%]
科学实验的数据生态系统：在化工领域管理燃烧实验和模拟分析
Edoardo Ramalli,Gabriele Scalia,Barbara Pernici et al.
Edoardo Ramalli et al.
The development of scientific predictive models has been of great interest over the decades. A scientific model is capable of forecasting domain outcomes without the necessity of performing expensive experiments. In particular, in combustio...
Digital Support for Renal Patients Before and During the COVID-19 Pandemic: Examining the Efforts of Singapore Social Service Agencies in Facebook [0.03%]
数字支持对肾病患者在COVID-19大流行前后的帮助：考察新加坡社交服务机构在Facebook上的努力
Junjie Tan,Aravind Sesagiri Raamkumar,Hwee Lin Wee
Junjie Tan
During the coronavirus disease 2019 (COVID-19) pandemic, social service agencies (SSAs) play a crucial role in supporting renal patients, who are particularly vulnerable to infections. Social media platforms such as Facebook, serves as an e...