Publications by authors named "Junhua Zhao"

Heterogeneous ice nucleation is a widespread phenomenon in nature. Despite extensive research on ice nucleation near biological antifreeze proteins, a probe for ice nucleation and growth processes at the atomic level is still lacking. Herein, we present simulation evidence of the heterogeneous ice nucleation process on the ice-binding surface (IBS) of the antifreeze protein (TmAFP).

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Background: The primary purpose of this study was to detect the pathogen species using targeted next-generation sequencing (tNGS) to investigate the characteristics of community-acquired pneumonia (CAP)-related pathogens in children in Xiantao city, Hubei province, China.

Methods: A total of 1,527 children with CAP were prospectively recruited from our hospital between May 2022 and February 2023. Information on age and sex was collected from the medical records.

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Neoadjuvant chemotherapy assessment is imperative for prognostication and clinical management of locally advanced gastric cancer. We propose an incremental supervised contrastive learning model (iSCLM), an interpretable artificial intelligence framework integrating pretreatment CT scans and H&E-stained biopsy images, for improved decision-making regarding neoadjuvant chemotherapy. We have constructed and tested iSCLM using retrospective data from 2,387 patients across 10 medical centers and evaluated its discriminative ability in a prospective cohort (132 patients; ChiCTR2300068917).

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Background: Next-Generation Sequencing (NGS) catalyzed breakthroughs across various scientific domains. Illumina's sequencing by synthesis method has long been central to NGS, but new sequencing methods like Element Biosciences' AVITI technology are emerging. AVITI is reported to offer improved signal-to-noise ratios and cost reductions.

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Article Synopsis
  • The study aimed to analyze the epidemiological and clinical features of children with pneumonia (MPP) in Hubei, China, focusing on data from 20 hospitals over two years.
  • The research found that MPP primarily affected school-age children, with cough and fever as the most common symptoms, and showed a significant co-detection of pathogens, with over half of the patients tested positive for additional infections.
  • Notably, the analysis revealed high macrolide resistance (over 85%), emphasizing the need for continuous monitoring to assess the healthcare implications of pneumonia in children amidst changing patterns during the COVID-19 pandemic.
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Whole genome sequencing has been an effective tool in the discovery of variants that cause rare diseases. In this study, we determined the suitability of a novel avidity sequencing approach for rare disease applications. We built a sample to results workflow, combining this sequencing technology with standard library preparation kits, analysis workflows, and interpretation tools.

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The walnut cracking process is the most critical and delicate step for achieving high-quality kernels. The traditional method for cracking (manually) is labor-intensive, time-consuming, and tedious. The existing cracking approaches are low production efficiency and serious walnut kernel breakage.

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Background: DNA sequencing is a critical tool in modern biology. Over the last two decades, it has been revolutionized by the advent of massively parallel sequencing, leading to significant advances in the genome and transcriptome sequencing of various organisms. Nevertheless, challenges with accuracy, lack of competitive options and prohibitive costs associated with high throughput parallel short-read sequencing persist.

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Liquid biopsy technology provides invaluable support for the early diagnosis of tumors and surveillance of disease course by detecting tumor-related biomarkers in bodily fluids. Currently, liquid biopsy techniques are mainly divided into two categories: biomarker and label-free. Biomarker liquid biopsy techniques utilize specific antibodies or probes to identify and isolate target cells, exosomes, or molecules, and these techniques are widely used in clinical practice.

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Power system fault diagnosis is crucial for identifying the location and causes of faults and providing decision-making support for power dispatchers. However, most classical methods suffer from significant time-consuming, memory overhead, and computational complexity issues as the scale of the power system concerned increases. With rapid development of quantum computing technology, the combinatorial optimization method based on quantum computing has shown certain advantages in computational time over existing methods.

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This study aims to examine how the activation of the role of nursee and professional identification as a nurse can influence moral judgments in terms of deontological and utilitarian inclinations. In Study 1, a priming technique was used to assess the impact of activating the nursing concept on moral reasoning. Participants were randomly assigned to either a nursing prime or neutral prime condition.

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With the rapid development of society and the deteriorating natural environment, there has been an increase in public emergencies. This study aimed to explore how sadness and fear in the context of public emergencies influence moral judgments. This research first induced feelings of sadness and fear by using videos about public emergencies and music, and then used moral scenarios from the CNI model (C parameter: sensitivity to consequences; N parameter: sensitivity to norms; I parameter: general preference for inaction) to assess participants' moral thinking.

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Maintenance of astronaut health during spaceflight will require monitoring and potentially modulating their microbiomes. However, documenting microbial shifts during spaceflight has been difficult due to mission constraints that lead to limited sampling and profiling. Here we executed a six-month longitudinal study to quantify the high-resolution human microbiome response to three days in orbit for four individuals.

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Spaceflight induces molecular, cellular and physiological shifts in astronauts and poses myriad biomedical challenges to the human body, which are becoming increasingly relevant as more humans venture into space. Yet current frameworks for aerospace medicine are nascent and lag far behind advancements in precision medicine on Earth, underscoring the need for rapid development of space medicine databases, tools and protocols. Here we present the Space Omics and Medical Atlas (SOMA), an integrated data and sample repository for clinical, cellular and multi-omic research profiles from a diverse range of missions, including the NASA Twins Study, JAXA CFE study, SpaceX Inspiration4 crew, Axiom and Polaris.

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Next-Generation Sequencing (NGS) catalyzed breakthroughs across various scientific domains. Illumina's sequencing by synthesis method has long been essential for NGS but emerging technologies like Element Biosciences' sequencing by avidity (AVITI) represent a novel approach. It has been reported that AVITI offers improved signal-to-noise ratios and cost reductions.

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The construction of high-performance n-type semiconductors is crucial for the advancement of organic electronics. As an attractive n-type semiconductor, molecular systems based on perylene diimide derivatives (PDIs) have been extensively investigated over recent years. Owing to the fascinating aggregated structure and high performance, S-heterocyclic annulated PDIs (SPDIs) are receiving increasing attention.

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Article Synopsis
  • - The study compares the DNA and RNA sequencing capabilities of Element Biosciences' AVITI platform with Illumina's NextSeq 550 and NovaSeq 6000, revealing that AVITI offers significantly higher quality scores and lower error rates in short-read applications.
  • - Specifically, AVITI showed an 89.7% lower error rate for PCR-free DNA libraries and a 32.5% lower error rate for RNA quantification compared to NextSeq 550.
  • - The findings suggest that AVITI has strong potential as a competitive option in high-throughput DNA and RNA sequencing, particularly due to its advantages in error rates and mutation detection.
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  • Carbon nanotubes (CNTs) have exceptional properties that make them ideal for advanced sensors, but keeping them arranged correctly is difficult due to their tendency to rearrange themselves.
  • The study introduces a hybrid woven model combining CNTs with graphene nanoribbons to stabilize their structure, enhancing their functionality for pressure sensing applications.
  • Simulations show that the temperature stability of this hybrid model depends on the size of the graphene component, remaining stable from 200-500 K when the ribbon width is over 2.0 nm, and the sensors can accurately predict shapes of objects by analyzing thermal conductivity under pressure.
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  • - Carbon dioxide (CO) plays a crucial role in creating a livable environment, but its levels have surged to 400 ppm due to fossil fuel use, leading to a harmful greenhouse effect.
  • - There is a growing interest in converting CO into useful chemicals using renewable solar energy, particularly through a process called photothermal catalysis.
  • - The review covers recent advancements in this field, focusing on catalyst design, reaction mechanisms, reactor engineering, and economic evaluations, while also suggesting future research directions and examining the human impact on the carbon cycle.
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  • The Inspiration4 mission was the first all-civilian orbital flight that explored how short-duration spaceflight affects human physiology, using a multi-omic approach to study various challenges like microgravity, immune response, and radiation exposure.
  • Researchers collected dried blood samples before, during, and after the flight to analyze DNA and telomere lengths, track genomic stability, and monitor immune adaptations using advanced bioinformatics.
  • Findings revealed that while telomeres lengthened during the flight and then shortened after return, there were notable changes in immune cell gene expression that persisted for months, providing important insights for future space missions and astronaut health.
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Motivation: The acquisition of somatic mutations in hematopoietic stem and progenitor stem cells with resultant clonal expansion, termed clonal hematopoiesis (CH), is associated with increased risk of hematologic malignancies and other adverse outcomes. CH is generally present at low allelic fractions, but clonal expansion and acquisition of additional mutations leads to hematologic cancers in a small proportion of individuals. With high depth and high sensitivity sequencing, CH can be detected in most adults and its clonal trajectory mapped over time.

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Gastric cancer is one of the most prevalent digestive malignancies. The lack of effective peritoneal models has hindered the exploration of the potential mechanisms behind gastric cancer's peritoneal metastasis. An accumulating body of research indicates that small extracellular vesicles (sEVs) play an indispensable role in peritoneal metastasis of gastric cancer cells.

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The recent groundbreaking achievement in the synthesis of large-sized single crystal C monolayer, which is covalently bonded in a plane using C as building blocks. The asymmetric lattice structure endows it with anisotropic phonon modes and conductivity. If these C are arranged in form of 1D fiber, the improved manipulation of phonon conduction along the fiber axis could be anticipated.

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Low-pass sequencing with genotype imputation has been adopted as a cost-effective method for genotyping. The most widely used method of short-read sequencing uses sequencing by synthesis (SBS). Here we perform a study of a novel sequencing technology-avidity sequencing.

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Maintenance of astronaut health during spaceflight will require monitoring and potentially modulating their microbiomes, which play a role in some space-derived health disorders. However, documenting the response of microbiota to spaceflight has been difficult thus far due to mission constraints that lead to limited sampling. Here, we executed a six-month longitudinal study centered on a three-day flight to quantify the high-resolution microbiome response to spaceflight.

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