Ru-W Pair Sites Enabling the Ensemble Catalysis for Efficient Hydrogen Evolution.

Simultaneously optimizing elementary steps, such as water dissociation, hydroxyl transferring, and hydrogen combination, is crucial yet challenging for achieving efficient hydrogen evolution reaction (HER) in alkaline media. Herein, Ru single atom-doped WO nanoparticles with atomically dispersed Ru-W pair sites (Ru-W/WO -800) are developed using a crystalline lattice-confined strategy, aiming to gain efficient alkaline HER. It is found that Ru-W/WO -800 exhibits remarkable HER activity, characterized by a low overpotential (11 mV at 10 mA cm ), notable mass activity (5863 mA mg Ru at 50 mV), and robust stability (500 h at 250 mA cm ).

Study on the relationships between the accumulation and translocation of dry matter and nitrogen and flower/pod development into seeds and seed yields in Chinese milk vetch.

Further improvements to the yield potential of Chinese milk vetch seed are essential for the planting demand of green manure. Flower and pod development directly determines the number of seeds and the seed yield of Chinese milk vetch. However, the accumulation and translocation of dry matter and nitrogen between plant organs directly affects flower and pod development and morphological formation.

TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features.

Motivation: Protein structure can be severely disrupted by frameshift and non-sense mutations at specific positions in the protein sequence. Frameshift and non-sense mutation cases can also be found in healthy individuals. A method to distinguish neutral and potentially disease-associated frameshift and non-sense mutations is of practical and fundamental importance.

[Effects of combined with chemical fertilizer on nitrogen absorption and utilization of rice and nitrogen distribution and residue of in rice-soil system].

Clarifying the pattern of nitrogen absorption and utilization of rice under the treatments of combined with chemical fertilizer application and the pattern of absorption, utilization, distribution and residue of nitrogen in rice-soil system could provide basis to rational fertilization for rice planting area in southern Henan. In this study, undisturbed soil column simulation and isotope tracer technology of N were used to examine the differences of nitrogen uptake and utilization of rice, nitrogen nutrient balance of rice-soil system and nitrogen uptake, utilization, distribution and residue of nitrogen after mineralization and decomposition among seven treatments. The treatments involved 1) no fertilization (CK); 2) chemical fertilizer+22500 kg·hm (FM1); 3) chemical fertilizer+30000 kg·hm (FM2); 4) chemical fertilizer+37500 kg·hm (FM3); 5) chemical fertilizer+22500 kg·hm +lime (FM1+CaO); 6) chemical fertilizer+30000 kg·hm lime (FM2+CaO); 7) chemical fertilizer+37500 kg·hm +lime (FM3+CaO).

Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding Microarrays.

The control of the coordinated expression of genes is primarily regulated by the interactions between transcription factors (TFs) and their DNA binding sites, which are an integral part of transcriptional regulatory networks. There are many computational tools focused on determining TF binding or unbinding to a DNA sequence. However, other tools focused on further determining the relative preference of such binding are needed.

Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities.

Deep learning has been successfully applied to surprisingly different domains. Researchers and practitioners are employing trained deep learning models to enrich our knowledge. Transcription factors (TFs)are essential for regulating gene expression in all organisms by binding to specific DNA sequences.