Photocatalytic Hydrogen Production from Pure Water Using a IEF-11/g-CN S-Scheme Heterojunction.

Construction of S-scheme heterojunction offers a promising way to enhance the photocatalytic performance of photocatalysts for converting solar energy into chemical energy. However, the photocatalytic H production in pure water without sacrificial agents is still a challenge. Herein, the IEF-11 with the best photocatalytic H production performance in MOFs and suitable band structure was selected and firstly constructed with g-CN to obtain a S-scheme heterojunction for photocatalytic H production from pure water.

Transition-Metal Single Atom Anchored on MoS for Enhancing Photocatalytic Hydrogen Production of g-CN Photocatalysts.

Single-atom catalyst technology with near-100% atomic utilization and a well-defined coordination structure has provided new ideas for designing high-performance photocatalysts, which is also beneficial for reducing the usage of noble metal cocatalysts. Herein, a series of single-atomic MoS-based cocatalysts where monoatomic Ru, Co, or Ni modify MoS (SA-MoS) for enhancing the photocatalytic hydrogen production performance of g-CN nanosheets (NSs) are rationally designed and synthesized. The 2D SA-MoS/g-CN photocatalysts with Ru, Co, or Ni single atoms show similar enhanced photocatalytic activity, and the optimized Ru-MoS/g-CN photocatalyst has the highest hydrogen production rate of 11115 μmol/h/g, which is about 37 and 5 times higher than that of pure g-CN and MoS/g-CN photocatalysts, respectively.

Atomically Dispersed Fe/N and Ni/N Sites on Separate-Sides of Porous Carbon Nanosheets with Janus Structure for Selective Oxygen Electrocatalysis.

Dual single atoms catalysts have promising application in bifunctional electrocatalysis due to their synergistic effect. However, how to balance the competition between rate-limiting steps (RDSs) of reversible oxygen reduction and oxygen evolution reaction (OER) and fully expose the active centers by reasonable structure design remain enormous challenges. Herein, Fe/N and Ni/N sites separated on different sides of the carbon nanosheets with Janus structure (FeNi /NC) is synthesized by layer-by-layer assembly method.

Aptamers as Smart Ligands for Targeted Drug Delivery in Cancer Therapy.

Undesirable side effects and multidrug tolerance are the main holdbacks to the treatment of cancer in conventional chemotherapy. Fortunately, targeted drug delivery can improve the enrichment of drugs at the target site and reduce toxicity to normal tissues and cells. A targeted drug delivery system is usually composed of a nanocarrier and a targeting component.

Effect of Problem-Oriented Evidence-Based Nursing on Clinical Recovery and Prognosis in Patients with Arrhythmia after Acute Myocardial Infarction.

Background: To probe into the influence of evidence-based nursing (EBN) on clinical recovery and prognosis of patients with arrhythmia after acute myocardial infarction (AMI).

Methods: Totally, 240 AMI patients with arrhythmia treated in Taizhou People's Hospital (Jiangsu, China) from July 2019 to December 2020 were collected and randomly divided into the study group (n = 120) and control group (n = 120). The control group was received routine nursing, while the study group carried out EBN.

Nanocage Ferritin Reinforced Polyacrylamide Hydrogel for Wearable Flexible Strain Sensors.

Biocomposite hydrogels are promising for applications in wearable flexible strain sensors. Nevertheless, the existing biocomposite hydrogels are still hard to meet all requirements, which limits the practical application. Here, inspired by the structure and composition of natural ferritin, we design a PAAm-Ferritin hybrid hydrogel through a facile method.

Polyvinyl Alcohol/Graphene Oxide Conductive Hydrogels via the Synergy of Freezing and Salting Out for Strain Sensors.

Hydrogels of flexibility, strength, and conductivity have demonstrated broad applications in wearable electronics and soft robotics. However, it is still a challenge to fabricate conductive hydrogels with high strength massively and economically. Herein, a simple strategy is proposed to design a strong ionically conductive hydrogel.

Controllable Synthesis of Polyphenol Spheres via Amine-Catalyzed Polymerization-Induced Self-Assembly.

A facile and general strategy for preparing uniform and multifunctional polyphenol-based colloidal particles through amine-catalyzed polymerization-induced self-assembly is described. The size and interfacial adhesion of polyphenol spheres can be easily controlled over a wide range via adjusting the concentration of the cosolvent and monomer. Moreover, the polyphenol spheres showed excellent thermal and chemical stability and highly active properties and could efficiently deplete the reactive oxygen species (ROS), which are helpful for ROS regulation for inflammatory therapeutic.

A step-by-step synergistic stripping approach toward ultra-thin porous g-CN nanosheets with high conduction band position for photocatalystic CO reduction.

The pristine g-CN (BCN) with a low conversion efficiency of CO exits with small specific surface area, weak CO adsorption and severe recombination of photo-generated charges. The stripping of few-layer g-CN represents excellent photocatalytic performance, which attracts extensive attention in photocatalytic CO reduction. In the present study, the ultra-thin porous g-CN (THCN) with high specific surface area and high position of conduction band was prepared using step-by-step synergistic exfoliation.

Ultra-stable Pickering emulsion stabilized by a natural particle bilayer.

Ultra-stable Pickering emulsions synergistically stabilized by zein nanoparticles and starch nanocrystals were successfully prepared and the stabilization is ascribed to the double-layer shell of binary particles. The as-prepared Pickering emulsions showed unprecedented stability against centrifugation up to 20 000g and against environmental stresses such as pH change and high temperature.

Engineering Z-scheme TiO-OV-BiOCl via oxygen vacancy for enhanced photocatalytic degradation of imidacloprid.

The development and application of photocatalysts with strong redox ability to degrade refractory pesticides is the key to eliminating pesticide contamination. In this work, we develop a facile, time-saving, and surfactant-assisted method to fabricate a new Z-scheme heterojunction based on TiO2/BiOCl. This photocatalyst is rich in oxygen vacancy defects (TiO2-OV-BiOCl), and displays an excellent photocatalytic degradation performance for imidacloprid (IMD), and a possible degradation pathway of IMD is provided.

Spout Fluidized Bed Assisted Preparation of Poly(tannic acid)-Coated Urea Fertilizer.

Slow-release fertilizers (SRFs) have been widely used to reduce environment pollution derived from excessive nutrients. Coated fertilizers have been designed and prepared using various materials. However, development of new green coating materials and simple process is still a huge challenge.

Human mitochondrial genome compression using machine learning techniques.

Background: In recent years, with the development of high-throughput genome sequencing technologies, a large amount of genome data has been generated, which has caused widespread concern about data storage and transmission costs. However, how to effectively compression genome sequences data remains an unsolved problem.

Results: In this paper, we propose a compression method using machine learning techniques (DeepDNA), for compressing human mitochondrial genome data.

Improve Plant Photosynthesis by a New Slow-Release Carbon Dioxide Gas Fertilizer.

In the natural state, the concentration of carbon dioxide in the atmosphere is about 300 μmol mol. Plants need a suitable balance of CO to achieve optimal growth. The optimum CO content corresponding to a high photosynthesis rate is between 0.

Integrated entropy-based approach for analyzing exons and introns in DNA sequences.

Background: Numerous essential algorithms and methods, including entropy-based quantitative methods, have been developed to analyze complex DNA sequences since the last decade. Exons and introns are the most notable components of DNA and their identification and prediction are always the focus of state-of-the-art research.

Results: In this study, we designed an integrated entropy-based analysis approach, which involves modified topological entropy calculation, genomic signal processing (GSP) method and singular value decomposition (SVD), to investigate exons and introns in DNA sequences.

BdBG: a bucket-based method for compressing genome sequencing data with dynamic de Bruijn graphs.

Dramatic increases in data produced by next-generation sequencing (NGS) technologies demand data compression tools for saving storage space. However, effective and efficient data compression for genome sequencing data has remained an unresolved challenge in NGS data studies. In this paper, we propose a novel alignment-free and reference-free compression method, BdBG, which is the first to compress genome sequencing data with dynamic de Bruijn graphs based on the data after bucketing.

WDNfinder: A method for minimum driver node set detection and analysis in directed and weighted biological network.

Structural controllability is the generalization of traditional controllability for dynamical systems. During the last decade, interesting biological discoveries have been inferred by applied structural controllability analysis to biological networks. However, false positive/negative information (i.

UV-Triggered Surface-Initiated Polymerization from Colorless Green Tea Polyphenol-Coated Surfaces.

A facile and versatile approach to constructing colorless surface coatings based on green tea polyphenols is reported, which can further act as a photoinitiating layer to initiate radical polymerization. These colorless green tea polyphenol coatings are capable of successfully photografting polymer brushes, and the resulting polymer brush patterns show spatial shape adjustability by masked UV irradiation. Both surface modifications and photografted polymer brushes do not alter the original color of the substrates.

misFinder: identify mis-assemblies in an unbiased manner using reference and paired-end reads.

Background: Because of the short read length of high throughput sequencing data, assembly errors are introduced in genome assembly, which may have adverse impact to the downstream data analysis. Several tools have been developed to eliminate these errors by either 1) comparing the assembled sequences with some similar reference genome, or 2) analyzing paired-end reads aligned to the assembled sequences and determining inconsistent features alone mis-assembled sequences. However, the former approach cannot distinguish real structural variations between the target genome and the reference genome while the latter approach could have many false positive detections (correctly assembled sequence being considered as mis-assembled sequence).

Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility.

The early genome-wide association studies (GWAS) found a significant association between lung cancer and rs1051730 (15q25) polymorphism. However, the subsequent studies reported consistent and inconsistent results in different populations. Three meta-analysis studies were thus performed to reevaluate the association.