Publications by authors named "Zhiyi Sun"

Owing to their synergistic interactions, dual-atom catalysts (DACs) with well-defined active sites are attracting increasing attention. However, more experimental research and theoretical investigations are needed to further construct explicit dual-atom sites and understand the synergy that facilitates multistep catalytic reactions. Herein, we precisely design a series of asymmetric selenium-based dual-atom catalysts that comprise heteronuclear SeN-MN (M = Fe, Mn, Co, Ni, Cu, Mo, etc.

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The availability of large databases of biological sequences presents an opportunity for in-depth exploration of gene diversity and function. Bacterial defense systems are a rich source of diverse but difficult to annotate genes with biotechnological applications. In this work, we present Domainator, a flexible and modular software suite for domain-based gene neighborhood and protein search, extraction and clustering.

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Article Synopsis
  • Double-atom catalysts (DACs) enhance catalytic performance in various reactions but face challenges in metal loading and longevity.
  • Researchers developed a new catalyst, A-FeSN/SNC, featuring unique diatomic iron sites on nitrogen-doped carbon, achieving a high metal loading of 6.72 wt%.
  • This new catalyst outperformed commercial options in oxygen evolution reactions, showing low overpotential and impressive stability, maintaining over 97% activity for more than 2000 hours.
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Nucleic acid sequencing technologies have gone through extraordinary advancements in the past several decades, significantly increasing throughput while reducing cost. To create similar advancement in proteomics, numerous approaches are being investigated to advance protein sequencing. One of the promising approaches uses N-terminal amino acid binders (NAABs), also referred to as recognizers, that selectively can identify amino acids at the N-terminus of a peptide.

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  • The electrochemical reduction of carbon monoxide (CORR) offers a potential method for creating valuable liquid fuels, but achieving selectivity for specific products is challenging due to complex reactions.
  • This study focuses on a specially designed copper (Cu) catalyst, Cu-SNC, which demonstrates a high selectivity for ethanol production, achieving Faradaic efficiencies of over 60% in various test setups.
  • The research highlights that the structure of the catalyst, including the presence of sulfur atoms, plays a key role in improving the selectivity for ethanol by altering the reaction pathway, suggesting a new way to design effective catalysts for CORR processes.
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Isolated metal sites catalysts (IMSCs) play crucial role in electrochemical CO reduction, with potential industrial applications. However, tunable synthesis strategies for IMSCs are limited. Herein, we present an atomic printing strategy that draws inspiration from the ancient Chinese "movable-type printing technology".

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  • Low-dose computer tomography (LDCT) images often suffer from distortion and loss of quality due to low quantum levels, prompting the need for super-resolution (SR) techniques that enhance image quality without increasing radiation exposure.
  • The proposed novel LDCT SR network utilizes self-parsed degradation information and 3D anatomical insights to improve image quality, addressing issues like noise removal and detail preservation effectively.
  • Experiments on the 2016 NIH-AAPM Mayo Clinic LDCT Grand Challenge dataset demonstrate that this method significantly enhances resolution and detail in LDCT images, showcasing its potential for clinical applications.
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Precisely designing asymmetrical structures is an effective strategy to optimize the performance of metallic catalysts. Asymmetric Pt clusters were attached to defect-rich porous alumina nanosheets (Pt clu/dp-AlO) using a pyrolysis technique coupled with wet impregnation. These Pt-functionalized nanosheets feature a high concentration of active sites, demonstrating remarkable cycling performance and catalytic activity in alkyne diboration.

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Developing high-performance Pt-based catalysts with low Pt loading is crucial but challenging for CO oxidation at temperatures below 100 °C. Herein, we report a Pt-based catalyst with only a 0.15 wt% Pt loading, which consists of Pt-Ti intermetallic single-atom alloy (ISAA) and Pt nanoparticles (NP) co-supported on a defective TiO support, achieving a record high turnover frequency of 11.

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With more flexible active sites and intermetal interaction, dual-atom catalysts (DACs) have emerged as a new frontier in various electrocatalytic reactions. Constructing a typical p-d orbital hybridization between p-block and d-block metal atoms may bring new avenues for manipulating the electronic properties and thus boosting the electrocatalytic activities. Herein, we report a distinctive heteronuclear dual-metal atom catalyst with asymmetrical FeSn dual atom sites embedded on a two-dimensional CN nanosheet (FeSn-CN), which displays excellent oxygen reduction reaction (ORR) performance with a half-wave potential of 0.

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Double-atom catalysts (DACs) with asymmetric coordination are crucial for enhancing the benefits of electrochemical carbon dioxide reduction and advancing sustainable development, however, the rational design of DACs is still challenging. Herein, this work synthesizes atomically dispersed catalysts with novel sulfur-bridged Cu-S-Ni sites (named Cu-S-Ni/SNC), utilizing biomass wool keratin as precursor. The plentiful disulfide bonds in wool keratin overcome the limitations of traditional gas-phase S ligand etching process and enable the one-step formation of S-bridged sites.

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Circular RNA (circRNA) has recently gained attention for its emerging biological activities, relevance to disease, potential as biomarkers, and promising an alternative modality for RNA vaccines. Nevertheless, sequencing circRNAs has presented challenges. In this context, we introduce a novel circRNA sequencing method called Induro-RT mediated circRNA-sequencing (IMCR-seq), which relies on a group II intron reverse transcriptase with robust rolling circle reverse transcription activity.

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Efficient and sustainable energy development is a powerful tool for addressing the energy and environmental crises. Single-atom catalysts (SACs) have received high attention for their extremely high atom utilization efficiency and excellent catalytic activity, and have broad application prospects in energy development and chemical production. M-N is an active center model with clear catalytic activity, but its catalytic properties such as catalytic activity, selectivity, and durability need to be further improved.

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In order to evaluate the influence of global warming on the ecosystem processes in marine environments, the changes in colonization dynamics of periphytic microbiota were studied using the periphytic ciliate communities as the test organism fauna under a continuous warming gradient of 22℃ (control), 25℃, 28℃, 31℃, and 34 ℃. The results demonstrated that (1) the test ciliate communities generally showed a similar temporal pattern in within the colonization process under the water temperatures from 22 up to 28℃; however, (2) the colonization dynamics were significantly changed, and the fitness of colonization curves to the MacArthur-Wilson model equation was failed under the temperature increased by 6 ℃, and (3) the loading or assimilative capacity of the test aquatic ecosystem was decreased with the increase of water temperature. Therefore, this study suggests that continuous warming may significantly drive the colonization dynamics of periphytic ciliates in marine ecosystems.

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The ideal interface design between the metal and substrate is crucial in determining the overall performance of the alkyne semihydrogenation reaction. Single-atom alloys (SAAs) with isolated dispersed active centers are ideal media for the study of reaction effects. Herein, a charge-asymmetry "armor" SAA (named PdFe SAA@PC), which consists of a PdFe alloy core and a semiconducting P-doped C (PC) shell, is rationally designed as an ideal catalyst for the selective hydrogenation of alkynes with high efficiency.

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Objective: Ulcerative colitis (UC) and metabolic dysfunction-associated steatotic liver disease (MASLD) are closely intertwined; however, the precise molecular mechanisms governing their coexistence remain unclear.

Methods: We obtained UC (GSE75214) and MASLD (GSE151158) datasets from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were acquired by the 'edgeR' and 'limma' packages of R.

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Accurately detecting distant evolutionary relationships between proteins remains an ongoing challenge in bioinformatics. Search methods based on primary sequence struggle to accurately detect homology between sequences with less than 20% amino acid identity. Profile- and structure-based strategies extend sensitive search capabilities into this twilight zone of sequence similarity but require slow pre-processing steps.

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Low-dose computer tomography (LDCT) has been widely used in medical diagnosis. Various denoising methods have been presented to remove noise in LDCT scans. However, existing methods cannot achieve satisfactory results due to the difficulties in (1) distinguishing the characteristics of structures, textures, and noise confused in the image domain, and (2) representing local details and global semantics in the hierarchical features.

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Deaminases have important uses in modification detection and genome editing. However, the range of applications is limited by the small number of characterized enzymes. To expand the toolkit of deaminases, we developed an in vitro approach that bypasses a major hurdle with their toxicity in cells.

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Low-dose computed tomography (LDCT) has been widely used in medical diagnosis. In practice, doctors often zoom in on LDCT slices for clearer lesions and issues, while, a simple zooming operation fails to suppress low-dose artifacts, leading to distorted details. Therefore, numerous LDCT super-resolution (SR) methods have been proposed to promote the quality of zooming without the increase of the dose in CT scanning.

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Rationally modulating the binding strength of reaction intermediates on surface sites of copper-based catalysts could facilitate C-C coupling to generate multicarbon products in an electrochemical CO reduction reaction. Herein, theoretical calculations reveal that cascade Ag-Cu dual sites could synergistically increase local CO coverage and lower the kinetic barrier for CO protonation, leading to enhanced asymmetric C-C coupling to generate CH. As a proof of concept, the CuN-Ag nanocubes (NCs) with Ag located in partial Cu sites and a CuN unit center are successfully synthesized.

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Article Synopsis
  • The study focuses on the complex cellular microenvironment of colonic polyps in children, including solitary juvenile polyps (SJPs) and those associated with Peutz-Jeghers syndrome (PJS).
  • Researchers used single-cell RNA sequencing and immunohistochemistry to analyze tissue samples, revealing distinct cell types and expression patterns linked to each polyp type.
  • Key findings include increased presence of specific immune and epithelial cell types in the different polyp subtypes, with unique gene expression changes and enhanced cell communication indicative of disease-specific microenvironments.
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The pollution of microplastics (MPs) to the marine environment has become a widespread focus of attention. To assess MP-induced ecotoxicity on marine ecosystems, periphytic protozoan communities were used as test organisms and exposed to five concentrations of MPs: 0, 1, 5, 25, and 125 mg l. Protozoan samples were collected using microscope slides from coastal waters of the Yellow Sea, northern China.

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Monitoring the dynamic changes of cellular tRNA pools is challenging, due to the extensive post-transcriptional modifications of individual species. The most critical component in tRNAseq is a processive reverse transcriptase (RT) that can read through each modification with high efficiency. Here we show that the recently developed group-II intron RT Induro has the processivity and efficiency necessary to profile tRNA dynamics.

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Article Synopsis
  • A 21-day study examined how varying salinity levels impacted the colonization patterns of periphytic protozoan communities using glass slides in temperature-controlled aquaria.
  • The study involved five different salinity treatments (9, 19, 29, 39, and 49 PSU) and monitored colonization over time on specified days.
  • Results indicated that significant shifts in colonization dynamics and a reduction in species richness occurred when salinity changed by 20 PSU or more from the control, suggesting that salinity variability can negatively affect protozoan fauna in marine ecosystems.
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