Construction of a ruthenium-doped CoFe-layered double hydroxide as a bifunctional electrocatalyst for overall water splitting.

In this study, ruthenium-doped CoFe-based layered double hydroxides on Ni foam (CoFe-ZLDH/Ru@NF) were fabricated an etching-precipitation strategy. The resultant CoFe-ZLDH/Ru@NF exhibited excellent activity, showing low overpotentials of 219.8 mV and 60.

A MOF-derived Bimetallic Co-catalyst for Promoting Visible-light Photocatalytic Hydrogen Evolution on NH -MIL-125.

In order to construct noble metal-free co-catalysts to facilitate the transport and separation of photocatalyst carriers, herein, a MOF-based derived bimetallic NiCu co-catalyst was loaded on NH -MIL-125(Ti). The obtained NiCu /NH -MIL-125 exhibited a photocatalytic activity of 161.4 μmol g  h for hydrogen evolution, 12.

A Conformal Carbon Nanolayer Coated Fe O Cocatalyst for the Promoted Activity of Plasma-Sputtered BiVO Photoanode.

To simultaneously improve the hole extraction ability of the BiVO photoanode and accelerate the surface reaction kinetics, herein, a carbon nanolayer conformally coated Fe O (C-Fe O ) as oxygen evolution catalyst (OEC) is loaded on the H plasma treated nanoporous BiVO (BVO(H )) surface by a hydrothermal reaction. It is found that the H plasma induced vacancies in BVO remarkably increases the conductivity, and the C-Fe O enables hole extraction from the bulk to the surface as well as efficient hole injection to the electrolyte. As a result, the C-Fe O /BVO(H ) photoanode achieves a photocurrent density of 4.

Feature extraction for phenotyping from semantic and knowledge resources.

Objective: Phenotyping algorithms can efficiently and accurately identify patients with a specific disease phenotype and construct electronic health records (EHR)-based cohorts for subsequent clinical or genomic studies. Previous studies have introduced unsupervised EHR-based feature selection methods that yielded algorithms with high accuracy. However, those selection methods still require expert intervention to tweak the parameter settings according to the EHR data distribution for each phenotype.

A hierarchical method to automatically encode Chinese diagnoses through semantic similarity estimation.

Background: The accumulation of medical documents in China has rapidly increased in the past years. We focus on developing a method that automatically performs ICD-10 code assignment to Chinese diagnoses from the electronic medical records to support the medical coding process in Chinese hospitals.

Methods: We propose two encoding methods: one that directly determines the desired code (flat method), and one that hierarchically determines the most suitable code until the desired code is obtained (hierarchical method).