Optimal repetitive readout of single solid-state spins determined by Fisher information.

Quantum systems, including superconducting circuits, trapped ions, quantum dots, solid-state defects, etc., have achieved considerable advancements in readout fidelity. However, the widely used threshold method disregards the importance of temporal characteristics of the signal during continuous measurements, leading to information loss.

Diversity and Meta-Analysis of Microbial Differential Abundance in Nasal Metatranscriptomic Profiles of Asthma.

Asthma affects millions worldwide and involves complex genetic, immunological, and environmental factors. The nasal microbiome is increasingly recognized for its role in asthma development, but inconsistent results and small sample sizes have limited a clear understanding. We aimed to clarify the nasal microbiome's role in asthma using large datasets and meta-transcriptomic analysis.

Imaging magnetic transition of magnetite to megabar pressures using quantum sensors in diamond anvil cell.

High-pressure diamond anvil cells have been widely used to create novel states of matter. Nevertheless, the lack of universal in-situ magnetic measurement techniques at megabar pressures makes it difficult to understand the underlying physics of materials' behavior at extreme conditions, such as high-temperature superconductivity of hydrides and the formation or destruction of the local magnetic moments in magnetic systems. Here, we break through the limitations of pressure on quantum sensors by modulating the uniaxial stress along the nitrogen-vacancy axis and develop the in-situ magnetic detection technique at megabar pressures with high sensitivity ( ) and sub-microscale spatial resolution.

Nonlinear analysis of neuronal firing modulated by sinusoidal stimulation at axons in rat hippocampus.

Introduction: Electrical stimulation of the brain has shown promising prospects in treating various brain diseases. Although biphasic pulse stimulation remains the predominant clinical approach, there has been increasing interest in exploring alternative stimulation waveforms, such as sinusoidal stimulation, to improve the effectiveness of brain stimulation and to expand its application to a wider range of brain disorders. Despite this growing attention, the effects of sinusoidal stimulation on neurons, especially on their nonlinear firing characteristics, remains unclear.

Associations of diet with infectious diseases in UK Biobank.

This research aims to utilize multivariate logistic regression to explore associations between the frequency of 13 food groups intake (or four diet groups) and infectious diseases. 487849 participants from the UK Biobank were enrolled, and 75209 participants were diagnosed with infectious diseases. Participants reporting the highest intake frequency of processed meat [odds ratio ( ) = 1.

New Constraints on Exotic Spin-Spin-Velocity-Dependent Interactions with Solid-State Quantum Sensors.

We report new experimental results on exotic spin-spin-velocity-dependent interactions between electron spins. We designed an elaborate setup that is equipped with two nitrogen-vacancy (NV) ensembles in diamonds. One of the NV ensembles serves as the spin source, while the other functions as the spin sensor.

Gut microbial features may influence antiviral IgG levels after vaccination against viral respiratory infectious diseases: the evidence from two-sample bidirectional mendelian randomization.

Background: Vaccination is effective in preventing viral respiratory infectious diseases through protective antibodies and the gut microbiome has been proven to regulate human immunity. This study explores the causal correlations between gut microbial features and serum-specific antiviral immunoglobulin G (IgG) levels.

Methods: We conduct a two-sample bidirectional Mendelian randomization (MR) analysis using genome-wide association study (GWAS) summary data to explore the causal relationships between 412 gut microbial features and four antiviral IgG (for influenza A, measles, rubella, and mumps) levels.

Epidemiology of acute hepatitis C and hepatitis C virus-related cirrhosis in reproductive-age women, 1990-2019: An analysis of the Global Burden of Disease study.

Background: The current study uniquely focuses on the global incidence and temporal trends of acute hepatitis C (AHC) and hepatitis C virus (HCV)-related cirrhosis among women of reproductive age (15-49 years) from 1990-2019. The risk of vertical transmission and adverse perinatal outcomes associated with HCV infection underscores the importance of prioritising these women in HCV prevention efforts.

Methods: Leveraging the Global Burden of Disease 2019 data, we calculated age-standardised incidence rates (ASIR) and assessed temporal trends via the average annual percent change from joinpoint regression.

Field-programmable gate array and deep neural network-accelerated spatial-spectral interferometry for rapid optical dispersion analysis.

Spatial-spectral interferometry (SSI) is a technique used to reconstruct the electrical field of an ultrafast laser. By analyzing the spectral phase distribution, SSI provides valuable information about the optical dispersion affecting the spectral phase, which is related to the energy distribution of the laser pulses. SSI is a single-shot measurement process and has a low laser power requirement.

Leveraging baseline transcriptional features and information from single-cell data to power the prediction of influenza vaccine response.

Introduction: Vaccination is still the primary means for preventing influenza virus infection, but the protective effects vary greatly among individuals. Identifying individuals at risk of low response to influenza vaccination is important. This study aimed to explore improved strategies for constructing predictive models of influenza vaccine response using gene expression data.

Direct Formation of Amide-Linked -Glycosyl Amino Acids and Peptides via Photoredox/Nickel Dual Catalysis.

Glycoproteins account for numerous biological processes including those associated with diseases and infections. The advancement of glycopeptides has emerged as a promising strategy for unraveling biological pathways and discovering novel medicines. In this arena, a key challenge arises from the absence of efficient synthetic strategies to access glycopeptides and glycoproteins.

Third-order exceptional line in a nitrogen-vacancy spin system.

Exceptional points (EPs) are singularities in non-Hermitian systems, where k (k ≥ 2) eigenvalues and eigenstates coalesce. High-order EPs exhibit richer topological characteristics and better sensing performance than second-order EPs. Theory predicts even richer non-Hermitian topological phases for high-order EP geometries, such as lines or rings formed entirely by high-order EPs.

Bacterial response to the combined pollution of benzo[a]pyrene and decabromodiphenyl ether in soil under flooding anaerobic condition.

This study investigated the interaction between the co-pollutants of Benzo[a]pyrene (BaP) and decabromodiphenyl ether (BDE-209) and the bacterial community in soil under flooding anaerobic condition. Three levels of combined pollution (at nominal concentrations of 1, 5, and 25 mg/kg, respectively, for each pollutant), their corresponding sterilized controls, and a blank control (CK) were set up. During the incubation time of 270 days, BaP attenuated more easily than BDE-209.

Sub-nanotesla sensitivity at the nanoscale with a single spin.

High-sensitivity detection of the microscopic magnetic field is essential in many fields. Good sensitivity and high spatial resolution are mutually contradictory in measurement, which is quantified by the energy resolution limit. Here we report that a sensitivity of 0.

Interactions between cathodic- and anodic-pulses during high-frequency stimulations with the monophasic-pulses alternating in polarity at axons-experiment and simulation studies.

. Electrical neuromodulation therapies commonly utilize high-frequency stimulations (HFS) of biphasic-pulses to treat neurological disorders. The biphasic pulse consists of a leading cathodic-phase to activate neurons and a lagging anodic-phase to balance electrical charges.

Accuracy of the FY-L formula in calculating intraocular lens power after small-incision lenticule extraction.

Purpose: The study aimed to assess the accuracy of the FY-L formula in calculating intraocular lens (IOL) power after small-incision lenticule extraction (SMILE).

Methods: For the post-SMILE IOL calculation of the same eye, the IOL power targeting the pre-SMILE eyes' lowest myopic refractive error was used. The FY-L formula, the Emmetropia Verifying Optical Formula (EVO-L), the Barrett True-K no history, and the Shammas-L, respectively, were used to calculate the predicted refractive error of target IOL power.

Discussion on key issues of carbon footprint accounting for bast fiber textiles.

Bast fiber textiles have become increasingly popular as a sustainable alternative in recent years. Although the carbon emissions of bast fiber textiles have been studied using life cycle assessment method, there is a lack of comprehensive literature analyzing and summarizing the results. This study reviews the current state of research on the carbon emissions of bast fiber textiles.

Evaluation of new approach to enhance visualization performance in cataract surgery: 3D visualization system with coaxial illumination.

Purpose: To evaluate the visualization performance of different approaches, including the 3D visualization system with coaxial illumination and the 3D system or microscope with standard illumination.

Setting: Fuzhou Eye Hospital, Fuzhou City, China.

Design: Cross-sectional study.

Integrating single-cell RNA sequencing data to genome-wide association analysis data identifies significant cell types in influenza A virus infection and COVID-19.

With the global pandemic of COVID-19, the research on influenza virus has entered a new stage, but it is difficult to elucidate the pathogenesis of influenza disease. Genome-wide association studies (GWASs) have greatly shed light on the role of host genetic background in influenza pathogenesis and prognosis, whereas single-cell RNA sequencing (scRNA-seq) has enabled unprecedented resolution of cellular diversity and in vivo following influenza disease. Here, we performed a comprehensive analysis of influenza GWAS and scRNA-seq data to reveal cell types associated with influenza disease and provide clues to understanding pathogenesis.

New constraints on exotic spin-dependent interactions with an ensemble-NV-diamond magnetometer.

Laboratory search of exotic interactions is crucial for exploring physics beyond the standard model. We report new experimental constraints on two exotic spin-dependent interactions at the micrometer scale based on ensembles of nitrogen-vacancy (NV) centers in diamond. A thin layer of NV electronic spin ensembles is synthesized as the solid-state spin quantum sensor, and a lead sphere is taken as the interacting nucleon source.

Fabrication of Janus Composite Membranes with a Gradient Pore Structure Based on Melt Electrowriting and Solution Electrospinning for Directional Water Transport.

As a functional textile, the directional water transport textile has been widely used in daily life due to the ability of excellent moisture absorption and quick drying. However, it is still a great challenge to construct a textile that ensures water to transport rapidly from the skin to the outer environment (positive direction) and prevents the skin from being rewetted effectively in the reverse direction. Herein, this study aims to improve the ability of the hydrophobic layer in moisture management using melt electrowriting (MEW) to fabricate gradient pore structures precisely.

A systematic review of the life cycle environmental performance of cotton textile products.

The production of cotton textiles involves cotton cultivation, ginning, spinning, weaving, knitting, dyeing, finishing, cutting and sewing. It consumes large quantities of freshwater, energy and chemicals, causing serious environmental impacts. The environmental impacts of cotton textiles have been studied extensively through various methods.

Using multi-tissue transcriptome-wide association study to identify candidate susceptibility genes for respiratory infectious diseases.

We explore the candidate susceptibility genes for influenza A virus (IAV), measles, rubella, and mumps and their underlying biological mechanisms. We downloaded the genome-wide association study summary data of four virus-specific immunoglobulin G (IgG) level data sets (anti-IAV IgG, anti-measles IgG, anti-rubella IgG, and anti-mumps virus IgG levels) and integrated them with reference models of three potential tissues from the Genotype-Tissue Expression (GTEx) project, namely, whole blood, lung, and transformed fibroblast cells, to identify genes whose expression is predicted to be associated with IAV, measles, mumps, and rubella. We identified 19 significant genes (ULK4, AC010132.

Noise Prediction and Reduction of Single Electron Spin by Deep-Learning-Enhanced Feedforward Control.

Noise-induced control imperfection is an important problem in applications of diamond-based nanoscale sensing, where measurement-based strategies are generally utilized to correct low-frequency noises in realtime. However, the spin-state readout requires a long time due to the low photon-detection efficiency. This inevitably introduces a delay in the noise-reduction process and limits its performance.