Raphaëlle Toubiana,Millie Macdonald,Sivananda Rajananda et al.
Raphaëlle Toubiana et al.
Electronic vaccine certificates (EVC) for COVID-19 vaccination are likely to become widespread. Blockchain (BC) is an electronic immutable distributed ledger and is one of the more common proposed EVC platform options. However, the principl...
The Oral Microbiome and Its Role in Systemic Autoimmune Diseases: A Systematic Review of Big Data Analysis [0.03%]
口腔微生物组及其在全身自身免疫性疾病中的作用：大数据分析系统性回顾
Lu Gao,Zijian Cheng,Fudong Zhu et al.
Lu Gao et al.
Introduction: Despite decades of research, systemic autoimmune diseases (SADs) continue to be a major global health concern and the etiology of these diseases is still not clear. To date, with the development of high-thro...
Niansheng Tang,Catherine Liu,Jian Qing Shi et al.
Niansheng Tang et al.
Multiple Chronic Diseases Associated With Tooth Loss Among the US Adult Population [0.03%]
美国成人慢性病与失牙的关系研究
Yuqing Zhang,Suzanne G Leveille,Ling Shi
Yuqing Zhang
Background: Half of US adults aged 20-64 years have lost at least one permanent tooth; one in six adults aged 65 and over in the USA is edentulous. Tooth loss and edentulism interfere with nutritional intake and quality o...
Significant Subgraph Detection in Multi-omics Networks for Disease Pathway Identification [0.03%]
基于多组学网络的疾病通路识别中的显著子图检测方法
Mohamed Abdel-Hafiz,Mesbah Najafi,Shahab Helmi et al.
Mohamed Abdel-Hafiz et al.
Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death in the United States. COPD represents one of many areas of research where identifying complex pathways and networks of interacting biomarkers is an important...
Causal Inference in the Presence of Interference in Sponsored Search Advertising [0.03%]
存在干扰情况下的在线广告因果推理研究
Razieh Nabi,Joel Pfeiffer,Denis Charles et al.
Razieh Nabi et al.
In classical causal inference, inferring cause-effect relations from data relies on the assumption that units are independent and identically distributed. This assumption is violated in settings where units are related through a network of ...
Gabriele Tolomei,Fabio Pinelli,Fabrizio Silvestri
Gabriele Tolomei
Maximum Likelihood Reconstruction of Water Cherenkov Events With Deep Generative Neural Networks [0.03%]
基于深度生成神经网络的水契伦科夫事例极大似然重建
Mo Jia,Karan Kumar,Liam S Mackey et al.
Mo Jia et al.
Large water Cherenkov detectors have shaped our current knowledge of neutrino physics and nucleon decay, and will continue to do so in the foreseeable future. These highly capable detectors allow for directional and topological, as well as ...
Heleen Rutjes,Martijn C Willemsen,Milou A Feijt et al.
Heleen Rutjes et al.
Tracking health data, for example, through wearable devices or health apps, is increasingly commonplace. Consequently, health coaches (e.g., personal trainers, dieticians) are facing growing numbers of clients who bring their data to the cl...
A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis [0.03%]
一种评估操作员使用机器学习建议进行电力系统连锁反应分析的方法学研究
John Wenskovitch,Brett Jefferson,Alexander Anderson et al.
John Wenskovitch et al.
This work presents the application of a methodology to measure domain expert trust and workload, elicit feedback, and understand the technological usability and impact when a machine learning assistant is introduced into contingency analysi...