Bo Liu's research while affiliated with Hefei University of Technology and other places
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Publications (123)
The main group metals are commonly perceived as catalytically inert in the context of oxygen reduction reactions (ORR) due to the delocalized valence orbitals. Regulating the local environment and structure of metal center coordinated by nitrogen ligands (M‐Nx) is a promising approach to accelerate catalytic dynamics. Herein, we, for the first time...
The main group metals are commonly perceived as catalytically inert in the context of oxygen reduction reactions (ORR) due to the delocalized valence orbitals. Regulating the local environment and structure of metal center coordinated by nitrogen ligands (M‐Nx) is a promising approach to accelerate catalytic dynamics. Herein, we, for the first time...
Structural Variants (SVs) are a crucial type of genetic variant that can significantly impact phenotypes. Therefore, the identification of SVs is an essential part of modern genomic analysis. In this article, we present kled, an ultra-fast and sensitive SV caller for long-read sequencing data given the specially designed approach with a novel signa...
As next‐generation energy storage devices, lithium metal batteries (LMBs) must offer high safety, high‐voltage resistance, and a long life span. Electrolyte engineering is a facile strategy to tailor the interfacial chemistry of LMBs. In particular, the solvation structure and derived solid electrolyte interphase (SEI) are crucial for a satisfactor...
Atomically dispersed metal‐nitrogen‐carbon (M‐N‐C) catalysts have exhibited encouraging oxygen reduction reaction (ORR) activity. Nevertheless, the insufficient long‐term stability remains a widespread concern owing to the inevitable 2‐electron byproducts, H2O2. Here, we construct Co‐N‐Cr cross‐interfacial electron bridges (CIEBs) via the interfaci...
Atomically dispersed metal‐nitrogen‐carbon (M‐N‐C) catalysts have exhibited encouraging oxygen reduction reaction (ORR) activity. Nevertheless, the insufficient long‐term stability remains a widespread concern owing to the inevitable 2‐electron byproducts, H2O2. Here, we construct Co‐N‐Cr cross‐interfacial electron bridges (CIEBs) via the interfaci...
Sodium layered‐oxides (Na x TMO 2 ) sustain severe interfacial stability issues when subjected to battery applications. Particularly at high potential, the oxidation limits including transition metal dissolution and SEI reformation are intertwined upon the cathode, resulting in poor cycle ability. Herein, by rearranging the complex and structure of...
Solar cells comprising earth‐abundant and non‐toxic elements with applicable bandgaps and high absorption coefficients have attracted considerable interest over the past several decades and are important devices for addressing the future demand for clean and renewable energy. Antimony sulfide (Sb2S3) crystal material effectively meets these require...
The single-atom catalysts are promising alternatives to platinum-based catalysts for oxygen reduction reaction (ORR). However, the ORR process with multiple-step proton-coupled electron transfer occurring on the single-active site follows the...
Protein function annotation is one of the most important research topics for revealing the essence of life at molecular level in the post-genome era. Current research shows that integrating multisource data can effectively improve the performance of protein function prediction models. However, the heavy reliance on complex feature engineering and m...
Motivation
In recent years, there has been a breakthrough in protein structure prediction, and the AlphaFold2 model of the DeepMind team has improved the accuracy of protein structure prediction to the atomic level. Currently, deep learning-based protein function prediction models usually extract features from protein sequences and combine them wit...
Soybean (Glycine max) stands as a globally significant agricultural crop, and the comprehensive assembly of its genome is of paramount importance for unraveling its biological characteristics and evolutionary history. Nevertheless, previous soybean genome assemblies have harbored gaps and incompleteness, which have constrained in-depth investigatio...
Fe-N-C catalyst for oxygen reduction reaction (ORR) has been considered as the most promising non-precious metal catalyst due to its comparable catalytic performance to Pt in proton exchange membrane fuel cell (PEMFC). The active centers of Fe-pyrrolic N4 have been proven to be extremely active for ORR. However, forming a stable Fe-pyrrolic N4 stru...
The development of long-read sequencing is promising to high-quality and comprehensive de novo assembly for various species around the world. However, it is still challenging for genome assemblers to well-handle thousands of genomes, tens of gigabase level genome sizes and terabase level datasets simultaneously and efficiently, which is a bottlenec...
Regulating the electronic states of single atomic sites around the Fermi level remains a major concern for boosting the electrocatalytic oxygen reduction reaction (ORR). Herein, we present a Fe d‐orbital splitting manner modulation strategy by constructing axial coordination on Fe‐N4 sites. Experimental investigations and theoretical calculations r...
NiFe composites have been regarded as promising candidates to replace commercial noble-based electrocatalysts for the oxygen evolution reaction (OER). However, their practical applications still suffer from poor conductivity, limited activity, and durability. To address these issues, herein, by utilizing three-dimensional covalent organic framework...
The growing maturity of single-cell RNA-sequencing (scRNA-seq) technology allows us to explore the heterogeneity of tissues, organisms, and complex diseases at cellular level. In single-cell data analysis, clustering calculation is very important. However, the high dimensionality of scRNA-seq data, the ever-increasing number of cells, and the unavo...
Developing low-loading Pt-based catalysts possessing glorious catalytic performance can accelerate oxygen reduction reaction (ORR) and hence significantly advance the commercialization of proton exchange membrane fuel cells. In this report, we propose a hybrid catalyst that consists of low-loading sub-3 nm PtCo intermetallic nanoparticles carried o...
Recently, heterogeneous single-atom catalysts (SACs) have attracted enormous attention in electrochemical applications owing to their advantages of high metal utilization, well-defined active sites, tunable selectivity, and excellent activity. To avoid the aggregation of atomically dispersed metal sites, an appropriate support has to be adopted to...
How to use computational methods to effectively predict the function of proteins remains a challenge. Most prediction methods based on single species or single data source have some limitations: the former need to train different models for different species, the latter only to infer protein function from a single perspective, such as the method on...
Correct prediction of potential miRNA–disease pairs can considerably accelerate the experimental process in biomedical research. However, many methods cannot effectively learn the complex information contained in multisource data, limiting the performance of the prediction model. A heterogeneous network prediction model (MEAHNE) is proposed to make...
Cobalt–nitrogen–carbon is hitherto considered as one of the most satisfactory alternatives to precious metal catalysts for oxygen electrocatalysts. However, precisely tuning the local coordination of Co sites and thus engineering d‐orbital electron configuration to optimize the binding energy of the intermediates remains a huge challenge. Herein, a...
Preservation of human spermatozoa in vitro at normothermia or hypothermia maintaining their functions and fertility for several days plays a significant role in reproductive biology and medicine. However, it is well known that human spermatozoa left in vitro deteriorate over time irreversibly as the consequence of various stresses such as the chang...
Prior studies have suggested close associations between miRNAs and diseases. Correct prediction of potential miRNA-disease pairs by computational methods is able to greatly accelerate the experimental process in biomedical research. However, many methods cannot effectively learn the complex information in the multi-source data, and limits the perfo...
Metagenomics is a discipline that studies the genetic material of all tiny organisms in the biological environment. In recent years, the interaction between metagenomic microbial communities, the transfer of horizontal genes, and the dynamic changes of microbial ecosystems have attracted more and more attention. It is of great significance to use t...
Fabricating high-efficiency catalysts of Pt nanoparticles coupled with single-atom sites (M-N-C) attracts intensive attention to accelerate the oxygen reduction reaction (ORR). Here we rationally design the low-Pt hybrid catalyst containing fine Pt nanoparticles coupled with Co-Nx moieties via a microwave-assisted heating process. The well-disperse...
Reasonable design of bifunctional catalysts for oxygen reduction reactions (ORR) and oxygen evolution reactions (OER) is of great importance for the large-scale deployment of metal-air batteries. Herein, we developed a...
Protein is the main material basis of living organisms and plays crucial role in life activities. Understanding the function of protein is important for new drug discovery, disease treatment and vaccine development. In recent years, with the widespread application of deep learning in bioinformatics, researchers have proposed many deep learning mode...
Background
Sperm cryopreservation, an effective method for preserving male fertility, is very advantageous for men suffering from cancer. Unfortunately, as both physicians and cancer patients are unaware of the possibilities for sperm cryopreservation, the data on evaluation of semen parameters and disposition of cryopreserved samples among Chinese...
Background:
Many studies have reported that testicular germ cell tumours (TGCTs) give rise to a decrease in sperm production and may further lead to infertility. However, little is known regarding sperm production in extragonadal germ cell tumours (EGCTs). We have studied the differences in the characteristics and sperm quality of patients with te...
Cryopreservation of small quantities of human spermatozoa whilst maintaining adequate post‐thawing motility has been found an essential challenge for male fertility preservation. Therefore, the study used an effective, and convenient rapid‐freezing method to freeze small amounts of human spermatozoa by adding self‐prepared cryoprotectant (SPC) with...
The use of modular mining methods to divide genes into multiple gene subsets is currently the basic work of analyzing biological big data and exploring the biological interpretation of it. By transforming gene expression profile data into gene co-expression network, we transform the task of gene module detection into the problem of finding communit...
Background
DNA sequence alignment is a common first step in most applications of high-throughput sequencing technologies. The accuracy of sequence alignments directly affects the accuracy of downstream analyses, such as variant calling and quantitative analysis of transcriptome; therefore, rapidly and accurately mapping reads to a reference genome...
In recent years, with the development of single-cell RNA sequencing (scRNA-seq) technology, more and more scRNA-seq data has been generated. Corresponding analysis methods such as clustering analysis are also proposed, which effectively distinguish the cell types and reveal the cell diversity. However, due to more than ten thousand genes for normal...
With the rapid development of short-read sequencing technologies, many population-scale resequencing studies have been carried out to study the associations between human genome variants and various phenotypes in recent years. Variant calling is one of the core bioinformatics tasks in such studies to comprehensively discover genomic variants in seq...
This study examined the effect of a cryoprotectant with and without pentoxifylline supplementation on the motility and viability of human testicular sperm, both before and after freezing. Testicular samples were obtained from 68 patients with azoospermia who came to the Andrology Service of West China Second University Hospital, Sichuan University,...
Background
The prediction of long non-coding RNA (lncRNA) has attracted great attention from researchers, as more and more evidence indicate that various complex human diseases are closely related to lncRNAs. In the era of bio-med big data, in addition to the prediction of lncRNAs by biological experimental methods, many computational methods based...
Circular consensus sequencing (CCS) reads are promising for the comprehensive detection of structural variants (SVs). However, alignment-based SV calling pipelines are computationally intensive due to the generation of complete read-alignments and its post-processing. Herein, we propose a SKeleton-based analysis toolkit for Structural Variation det...
There is still a lack of fast and accurate classification tools to identify the taxonomies of noisy long reads, which is a bottleneck to the use of the promising long-read metagenomic sequencing technologies. Herein, we propose de Bruijn graph-based Sparse Approximate Match Block Analyzer (deSAMBA), a tailored long-read classification approach that...
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Background
Exploring the relationship between disease and gene is of great significance for understanding the pathogenesis of disease and developing corresponding therapeutic measures. The prediction of disease-gene association by computational methods accelerates the process.
Results
Many existing methods cannot fully utilize the multi-dimensiona...
Background: Semen cryopreservation is an effective method to preserve fertility, which is very important for male cancer patients. Unfortunately, due to unaware of the opportunities for sperm cryopreservation for both physicians and cancer patients, not a lot of data on evaluating the semen parameters and dispositions of the cryopreserved samples...
Accurate clustering of cells from single-cell RNA sequencing (scRNA-seq) data is an essential step for biological analysis such as putative cell type identification. However, scRNA-seq data has high dimension and high sparsity, which makes traditional clustering methods less effective to reflect the similarity between cells. Since genetic network f...
Circular RNAs (circRNAs) have emerged as an important class of functional RNA molecules. Short-read RNA sequencing (RNA-seq) is a widely used strategy to identify circRNAs. However, an inherent limitation of short-read RNA-seq is that it does not experimentally determine the full-length sequences and exact exonic compositions of circRNAs. Here, we...
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Background Exploring the relationship between disease and gene is of great significance for understanding the pathogenesis of disease and de-veloping corresponding therapeutic measures. The prediction of dis-ease-gene association by computational methods accelerates the pro-cess.
Results Many existing methods cannot fully utilize the multi-dimen-si...
Successful prediction of miRNA-disease association is nontrivial for the diagnosis and prognosis of genetic diseases. There are many methods to predict miRNA and disease, but biological data are numerous and complex, and they often exist in the form of network. How to accurately use the features of miRNA and disease-related biological networks to p...
Partial order alignment, which aligns a sequence to a directed acyclic graph, is now frequently used as a key component in long-read error correction and assembly. We present abPOA (adaptive banded Partial Order Alignment), a Single Instruction Multiple Data (SIMD) based C library for fast partial order alignment using adaptive banded dynamic progr...
Sequence alignment is a critical step in many critical genomic studies, such as variant calling, quantitative transcriptome analysis (RNA-seq), and metagenomic sequence classification. However, the alignment performance is largely affected by repetitive sequences in the reference genome, which extensively exist in species from bacteria to mammals....
Long-read sequencing is promising for the comprehensive discovery of structural variations (SVs). However, it is still non-trivial to achieve high yields and performance simultaneously due to the complex SV signatures implied by noisy long reads. We propose cuteSV, a sensitive, fast, and scalable long-read-based SV detection approach. cuteSV uses t...
The accurate prognostic prediction is essential for precise diagnosis and treatment of carcinoma. In addition to clinical survival prediction method, many computational methods based on transcriptomic data have been proposed to build the prediction models and study the prognosis of cancer patients. We propose a differential-regulatory-network-embed...
Partial order alignment, which aligns a sequence to a directed acyclic graph, is now frequently used as a key component in long-read error correction and assembly. We present abPOA ( a daptive b anded P artial O rder A lignment), a Single Instruction Multiple Data (SIMD) based C library for fast partial order alignment using adaptive banded dynamic...
The study of disease-relevant gene modules is one of the main methods to discover disease pathway and potential drug targets. Recent studies have found that most disease proteins tend to form many separate connected components and scatter across the protein-protein interaction network. However, most of the research on discovering disease modules ar...
Ambient air pollution has adverse effects on human health and reproduction. A number of studies have suggested a significant association between ambient air pollution and human fecundity, with most studies focusing on cross-sectional data from the general male population with single semen sample. We conducted a retrospective study in China using lo...
With development of tumor treatment, survival time of patients with cancer is significantly prolonged. Therefore, the current emphasis is not only the survival, but also the quality of life, especially, it is crucial for young male cancer patients who are unmarried and maintaining fertility. However, the awareness of fertility preservation for thes...
Expression quantitative trait locus (eQTL) analyses are critical in understanding the complex functional regulatory natures of genetic variation and have been widely used in the interpretation of disease-associated variants identified by genome-wide association studies (GWAS). Emerging evidence has shown that trans-eQTL effects on remote gene expre...
Background:
Many genetic variants have been reported from sequencing projects due to decreasing experimental costs. Compared to the current typical paradigm, read mapping incorporating existing variants can improve the performance of subsequent analysis. This method is supposed to map sequencing reads efficiently to a graphical index with a refere...
Abstract The alignment of long-read RNA sequencing reads is non-trivial due to high sequencing errors and complicated gene structures. We propose deSALT, a tailored two-pass alignment approach, which constructs graph-based alignment skeletons to infer exons and uses them to generate spliced reference sequences to produce refined alignments. deSALT...
Long-read sequencing technologies enable to comprehensively discover structural variations (SVs). However, it is still non-trivial for state-of-the-art approaches to detect SVs with high sensitivity or high performance or both. Herein, we propose cuteSV, a sensitive, fast and lightweight SV detection approach. cuteSV uses tailored methods to compre...
Long read sequencing technologies are promising to metagenomics studies. However, there is still lack of read classification tools to fast and accurately identify the taxonomies of noisy long reads, which is a bottleneck to the use of long read sequencing. Herein, we propose deSAMBA, a tailored long read classification approach that uses a novel sp...
Background
Multiple sequence alignment (MSA) is a fundamental task in bioinformatics and is required for many biological analysis tasks. The more accurate the alignments are, the more credible the downstream analyses are. Most of the protein MSA algorithms realign alignment to refine it by dividing it into two groups horizontally and realign the tw...
The prediction of long non-coding RNA (lncRNA) has attracted great attention from researchers, as more and more evidence indicate that various complex human diseases are closely related to lncRNAs. In the era of bio-big data, in addition to the prediction of lncRNAs by biological experimental methods, many computational methods based on machine lea...
Motivation: Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) sequencing technologies can produce long-reads up to tens of kilobases, but with high error rates. In order to reduce sequencing error, Rolling Circle Amplification (RCA) has been used to improve library preparation by amplifying circularized template molecules. Linear...
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...
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The de Bruijn graph, a fundamental data structure to represent and organize genome sequence, plays important roles in various kinds of sequence analysis tasks. With the rapid development of HTS data and ever-increasing number of assembled genomes, there is a high demand to construct the very large de Bruijn graph for sequences up to Tera-base-pair...
Long-read RNA sequencing (RNA-seq) is promising to transcriptomics studies, however, the alignment of the reads is still a fundamental but non-trivial task due to the sequencing errors and complicated gene structures. We propose deSALT, a tailored two-pass long RNA-seq read alignment approach, which constructs graph-based alignment skeletons to sen...
Novel sequence insertion (NSI) is an essential category of genome structural variations (SVs), which represents DNA segments absent from the reference genome assembly. It has important biological functions and strong correlation with phenotypes and diseases. The rapid development of long-read sequencing technologies provides the opportunities to di...
Mobile element insertion (MEI) is a major category of structure variations (SVs). The rapid development of long read sequencing technologies provides the opportunity to detect MEIs sensitively. However, the signals of MEI implied by noisy long reads are highly complex due to the repetitiveness of mobile elements as well as the high sequencing error...
Novel sequence insertion (NSI) is a class of genome structural variations (SVs) having important biological functions and strong correlations with phenotypes and diseases. The rapid development of long read sequencing technologies provide the opportunity to more comprehensively study NSIs, since the much longer reads are helpful to the assembly and...
Mobile element insertion (MEI) is a major category of structure variations (SVs). The rapid development of long read sequencing provides the opportunity to sensitively discover MEIs. However, the signals of MEIs implied by noisy long reads are highly complex, due to the repetitiveness of mobile elements as well as the serious sequencing errors. Her...
Mobile element insertion (MEI) is a major category of structure variations (SVs). The rapid development of long read sequencing provides the opportunity to sensitively discover MEIs. However, the signals of MEIs implied by noisy long reads are highly complex, due to the repetitiveness of mobile elements as well as the serious sequencing errors. Her...
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Motivation
De Bruijn graph, a fundamental data structure to represent and organize genome sequence, plays important roles in various kinds of sequence analysis tasks such as de novo assembly, high-throughput sequencing (HTS) read alignment, pan-genome analysis, metagenomics analysis, HTS read correction, etc. With the rapid development of HTS data...
Objective:
To search for an effective method for cryopreservation of rare human sperm (RHS) by comparing the effect of RHS cryopreservation technology with that of conventional cryopreservation technology on post-thaw sperm from patients with severe oligozoospermia.
Methods:
Semen samples obtained from 82 patients with severe oligozoospermia wer...
Motivation:
Long read sequencing technologies provide new opportunities to investigate genome structural variations (SVs) more accurately. However, the state-of-the-art SV calling pipelines are computational intensive and the applications of long reads are restricted.
Results:
We propose a local region match-based filter (rMFilter) to efficientl...
In metagenomic studies, fast and effective tools are on wide demand to implement taxonomy classification for upto billions of reads. Herein, we propose deSPI, a novel read classification method that classifies reads by recognizing and analyzing the matches between reads and reference with de Bruijn graph-based lightweight reference indexing. deSPI...
Motivation:
Read length is continuously increasing with the development of novel high-throughput sequencing (HTS) technologies, which has enormous potentials on cutting-edge genomic studies. However, longer reads could more frequently span the breakpoints of structural variants (SVs) than that of shorter reads. This may greatly influence read alig...
Electrochemical oxidation (EO) processes have been gaining a growing popularity in wastewater treatment. Their engineered applications inspire the search for conductive, stable, inexpensive, and sustainable electrode materials. Magnéli-phase titanium oxides have unique crystal and electron structure, which result in good electrical conductivity app...
Motivation
As high-throughput sequencing (HTS) technology becomes ubiquitous and the volume of data continues to rise, HTS read alignment is becoming increasingly rate-limiting, which keeps pressing the development of novel read alignment approaches. Moreover, promising novel applications of HTS technology require aligning reads to multiple genomes...
Motivation: With the development of high-throughput sequencing, the number of assembled genomes continues to rise. It is critical to well organize and index many assembled genomes to promote future genomics studies. Burrows–Wheeler Transform (BWT) is an important data structure of genome indexing, which has many fundamental applications; however, i...
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) analy...
Motivation:
Single Molecule Real-Time (SMRT) sequencing has been widely applied in cutting-edge genomic studies. However, it is still an expensive task to align the noisy long SMRT reads to reference genome by state-of-the-art aligners, which is becoming a bot-tleneck in applications with SMRT sequencing. Novel approach is on demand for improving...
Since the read lengths of high throughput sequencing (HTS) technologies are short, de novo assembly which plays significant roles in many applications remains a great challenge. Most of the state-of-the-art approaches base on de Bruijn graph strategy and overlap-layout strategy. However, these approaches which depend on k-mers or read overlaps do n...
Since the read lengths of high throughput sequencing (HTS) technologies are short, de novo assembly which plays significant roles in many applications remains a great challenge. Most of the state-of-the-art approaches base on de Bruijn graph strategy and overlap-layout strategy. However, these approaches which depend on k-mers or read overlaps do n...
Citations
... Overall, AlphaFold combines advanced machine learning algorithms with biological insights to accurately predict protein structures, significantly advancing our understanding of biology and opening new avenues for drug discovery and biotechnology. While current algorithms in protein structure prediction have made significant strides, particularly with the advent of machine learning techniques, enhanced sampling methods, and improved force fields [61][62][63][64][65][66][67][68], further improvement in protein structure prediction algorithms is necessary for several reasons: ...
... A particular N-coordination compound, such as Fe-pyrrolic N 4 , has high catalytic activity but is unstable owing to the transformation of the valence of the Fe metal. Yuan et al. [94] demonstrated that Fe 4 C clusters on Fe-pyrrolic N 4 single-atom sites can stabilize the N-coordinated single-atom species. These clusters enhance the charge distribution on the Fe-N 4 sites, promoting the delocalization of Fe d-orbital electrons and stabilizing the structure. ...
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... As reported elsewhere, the variation in the electron arrangement of Fe 3d orbitals, which is influenced by the surrounding coordination environment, is reflected in the energy shift of the HOMO. [32] In the case of Fe─NC and HEAC/Fe─NC, their valence band maximum values (Ev) are measured to be 2.38 and 3.12 eV, respectively, which reveals that the HOMO shifts to higher energy after the introduction of HEAC ( Figure S15, Supporting Information). The enlargement of Ev for HEAC/Fe─NC makes it easier to donate electrons to oxygenated intermediates. ...
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... The contrastive methods address unique data challenges in SCG, including batch effects and data sparsity 17,18,[20][21][22][23][24][25][26] . Other specialized SSL methods predict blood cell traits 27 , identify sub-populations of T-cells 28 , boost active learning 29 , and classify cell types on the whole mouse brain 30 , indicating the method's versatility. ...
... The improved ORR kinetics was further confirmed by electrochemical impedance spectroscopy (EIS). Notably, as depicted in Fig. 3e and Fig. S22, the Pt 0.38 Cu 0.62 /N-HCS possessed the smallest charge transfer impedance (R ct ) of 13.33 Ω, relative to Pt/N-HCS (14.04 Ω), Pt 0.38 Cu 0.62 /HCS (22.59 Ω) and commercial Pt/C (71.94 Ω), which suggested that the exceptional compressive strain in Pt, achieved by alloying with Cu, facilitates faster electron transfer during the ORR process [51,52]. Besides catalytic activity, the tolerance of methanol crossover and durability were also crucial factors for the service life of a real fuel cell system and must be taken into consideration. ...
... However, the durability of PtCo catalysts can be impacted by not only the intrinsic properties of the catalyst particles, but also their interactions with the carbon support. Refined particles can enable the better electrocatalytic activity resulted from the enhanced specific surface areas 11 , and suitable carbon supports are crucial for maintaining metal particle dispersion and providing proton transport pathways 15,16 . Additionally, carbon supports are extremely vulnerable to corrosion and oxidation at the high operating potential and low pH conditions 17 . ...
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... To date, the formation of the C 2+ products is still far from commercialization [36,142,[201][202][203][204][205]. Due to the insufficient intrinsic activity of catalyst materials, as well as the competition for protons with hydrogen evolution reaction in aqueous solvents, there still remains a demand for a large overpotential to deliver appreciable current. ...
... Starting from the same idea, Huang et al. in [15] developed the Metapath Associated Hetrogeneous Neural Embedding (MEAHNE) model for predicting connections between miRNAs and diseases in heterogeneous networks. The model used deep learning techniques and a semantic-based attention mechanism to extract complex associated information from biological networks. ...
... The corresponding O 1s spectrum inFig. 2(a)can be deconvolved into three oxygenate species (C-O, COOH and CQO).33,34 Among them, the carboxyl groups are dominant as potential ligands(Fig. ...
... Sperm is highly vulnerable to oxidative stress (OS) because of the non-extensive intrinsic antioxidant defense mechanism [3]. Recently, efforts have been made to prevent sperm cryo damage, such as adding various cryoprotectants and optimizing cryopreservation conditions; however, the results are not satisfactory, particularly for abnormal semen specimens [4,5]. OS can affect sperm quality because of lipid peroxidation (LPO) and the generation of reactive species (ROS) during semen cryopreservation. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/383159347761153-1468363715116_Q64/Qingyuan-Cheng.jpg)
