Metal-dielectric dispersive mirrors for ultraviolet lasers.

We report a broadband metal-dielectric dispersive mirror (MDDM) based on Al/SiO/HfO thin films operating in the near-ultraviolet (UV) region. Demonstrating the combined benefits of both the wide reflective bandwidth of aluminum in the UV region and the flexible dispersion control capability of HfO/SiO multilayer films, the MDDM has a wide bandwidth, low total thickness, and precise dispersion compensation ability. We propose an initial design based on a shortwave reflection enhancement structure (SWRES) to prevent shortwave light from obtaining a second time-dispersion compensation in the deep metal layer.

Image quality improvement for a hybrid compressive light field display based on gradient descent with a mixed loss function.

The multi-layer compressive light field (CLF) three-dimensional (3D) display suffers from image artifacts due to layer misalignment. In this paper, we propose to reduce the image artifacts by improving the intensity distribution uniformity of the layer images. To achieve this, a global optimization algorithm based on gradient descent (GD) is proposed.

Quality control in structured illumination-based super-resolution FRET imaging via machine learning.

Structured illumination-based super-resolution Förster resonance energy transfer microscopy (SISR-FRETM) has facilitated better observation of molecular behavior in living cells. However, SIM tends to produce artifacts in reconstruction, especially when the raw SIM inputs are of low signal-to-noise ratio (SNR) or out-of-focus, leading to erroneous signals in subsequent FRET. Current SIM quality evaluation metrics fail to utilize both SNR and out-of-focus features, making it challenging to classify unqualified raw data for FRET.

Lidar cloud and aerosol layer detection method based on point cloud filtering.

A point cloud filtering method is presented for atmospheric layer detection from lidar data. The method involves rising edge event recognition based on a wavelet transform function. Density-based clustering was then utilized to separate the real boundary from the original noisy point clouds based on continuous distribution characteristics of cloud and aerosol layer.

Photon-counting phase-stabilized dual-comb ranging.

Dual-comb ranging (DCR), with its superior overall performance compared to traditional ranging technologies, has recently attracted widespread interest in the research community. Nevertheless, the ranging distance or the material of the targets is limited by the detection sensitivity of optical asynchronous linear sampling. This limitation restricts the application of DCR in several highly significant scenarios.

Effect of metagenomic next-generation sequencing on clinical outcomes in adults with severe pneumonia post-cardiac surgery: a single-center retrospective study.

Reports on the application of metagenomic next-generation sequencing (mNGS) in adult patients with severe pneumonia after cardiac surgery remain limited. This study aimed to evaluate the clinical outcomes of mNGS analysis of bronchoalveolar lavage fluid (BALF) in such patients.A retrospective cohort study was conducted on adult patients with severe pneumonia after cardiac surgery.

Endoscopic retrograde appendicitis therapy for management of chronic fecalith appendicitis.

Background And Aims: Chronic appendicitis is a condition with chronic abdominal pain or mild attacks of appendicitis, seriously affecting the patient's quality of life. Endoscopic retrograde appendicitis therapy (ERAT) has emerged as a promising, non-invasive treatment for acute uncomplicated appendicitis. Here, we aim to assess the safety and efficacy of ERAT for chronic fecalith appendicitis.

Surgical Efficacy Analysis of Traumatic Posterior Fossa Epidural Hematoma in Children.

Objective: To investigate the treatment effect and prognosis of posterior fossa epidural hematoma in children by different surgical methods.

Methods: The clinical data of 41 children with traumatic posterior fossa epidural hematoma treated by surgery in the Department of Neurosurgery from June 2015 to October 2023 were retrospectively analyzed. Among them, 32 cases underwent minimally invasive skull trepanation and drainage and 9 cases underwent craniotomy and hematoma removal.

Cloning and functional characterization of volatile-terpene synthase genes from Chamaecyparis obtusa var. formosana.

Chamaecyparis obtusa var. formosana is significant as a precious and endemic plant in Taiwan. The trunk, renowned for its excellent texture and color, is ideal for construction materials and furniture.

sp. nov., a multi-stress-resistant and bacteriostatic-producing bacterium isolated from the Flaming Mountain, Xinjiang,China.

A bacterial strain designated HT6-4 was isolated from soil samples collected from the Flaming Mountain, Xinjiang, PR China. The purpose of this study was to describe a novel species and its characteristics, through genome sequencing and analysis of the relationship between the members of the genus , and explore the antiradiation, antioxidation and antibacterial capabilities of strain HT6-4. The polyphasic study confirmed the affiliation of strain HT6-4 with the genus .

TENT5A mediates the cancer-inhibiting effects of EGR1 by suppressing the protein stability of RPL35 in hepatocellular carcinoma.

Purpose: Terminal nucleotidyltransferase 5A (TENT5A), recently predicted as a non-canonical poly(A) polymerase, is critically involved in several human disorders including retinitis pigmentosa, cancer and obesity. However, the exact biological role of TENT5A in hepatocellular carcinoma (HCC) has not been elucidated.

Methods: The transcription level of TENT5A and clinical correlation were analyzed using the LIRI-JP cohort, the TCGA-LIHC cohort, and clinical tissue samples of HCC patients in our laboratory.

Microbiome analysis of serum extracellular vesicles in gestational diabetes patients.

Aim: Gestational Diabetes Mellitus (GDM) is among the most common complications during pregnancy, posing serious risks to both the patient's and offspring's health and well-being. Alterations in the maternal microbiome are closely associated with the pathogenesis of GDM, with Extracellular Vesicles (EVs) facilitating communication between microbiota and the host. However, little is known about the relationship between the microbial composition within EVs and the pathogenesis of GDM.

Added value of pre-procedural magnetic resonance angiography in transarterial embolization for refractory musculoskeletal pain.

Background: Transarterial microembolization (TAME) is a minimally invasive treatment for chronic musculoskeletal disorders. Identifying angiogenesis and the supplying vessels of the target joint is important but challenging. Although magnetic resonance imaging (MRI) is commonly used to diagnose musculoskeletal diseases, it typically excludes vascular imaging.

Do government environmental audits reduce air pollution? Evidence obtained from Lanzhou.

Introduction: This study investigates the effectiveness of government environmental audits in mitigating air pollution. Specifically, it focuses on a pilot project conducted in Lanzhou City by the former Ministry of Environmental Protection. The research employs a regression discontinuity design to empirically assess the impact of these audits on air quality.

Effects of statins in patients with coronary artery spasm: A nationwide population-based study.

Controversies regarding the benefits of statin treatment on clinical outcomes in coronary artery spasm (CAS) without obstructive coronary artery disease (CAD) persist due to limited data. In this retrospective nationwide population-based cohort study from the Taiwan National Health Insurance Research Database during the period 2000-2012, the matched cohorts consisted of 12,000 patients with CAS. After propensity score matching with 1:1 ratio, 2216 patients were eligible for outcome analysis in either statin or nonstatin group, with the mean follow-up duration of 4.

Breathing new insights into the role of mutant p53 in lung cancer.

The tumour suppressor gene p53 is one of the most frequently mutated genes in lung cancer and these defects are associated with poor prognosis, albeit some debate exists in the lung cancer field. Despite extensive research, the exact mechanisms by which mutant p53 proteins promote the development and sustained expansion of cancer remain unclear. This review will discuss the cellular responses controlled by p53 that contribute to tumour suppression, p53 mutant lung cancer mouse models and characterisation of p53 mutant lung cancer.

Decision-making of autonomous vehicles in interactions with jaywalkers: A risk-aware deep reinforcement learning approach.

Jaywalking, as a hazardous crossing behavior, leaves little time for drivers to anticipate and respond promptly, resulting in high crossing risks. The prevalence of Autonomous Vehicle (AV) technologies has offered new solutions for mitigating jaywalking risks. In this study, we propose a risk-aware deep reinforcement learning (DRL) approach for AVs to make decisions safely and efficiently in jaywalker-vehicle interactions.

Glycomic profiling of parathyroid neoplasms via lectin microarray analysis.

Purpose: Parathyroid carcinoma (PC) is a rare malignancy with a poor prognosis. Diagnosis of PC is often difficult in clinical practice and efficient diagnostic markers are still needed for differential diagnosis. Aberrant glycosylations of glycoproteins were identified with lectin microarray in various cancers, while relevant information is lacking in PC.

Differential modulation of pain and associated anxiety by GABAergic neuronal circuits in the lateral habenula.

Persistent pain frequently precipitates the development of anxiety disorders, yet the underlying mechanisms are not fully understood. In this study, we employed a mouse model that simulates trigeminal neuralgia and observed a marked reduction in the activity of GABAergic neurons in the lateral habenula (LHb), a critical region for modulating pain and anxiety. We utilized precise optogenetic and chemogenetic techniques to modulate these neurons, which significantly alleviated behaviors associated with pain and anxiety.

Integrated Transcriptome Analysis Reveals Novel Molecular Signatures for Schizophrenia Characterization.

Schizophrenia (SCZ) is a complex psychiatric disorder presenting challenges for characterization. The current study aimed to identify and evaluate disease-responsive essential genes (DREGs) to enhance the molecular characterization of SCZ. RNA-sequencing data from PsychENCODE (536 SCZ patients, 832 controls) and peripheral blood transcriptome data from 144 recruited subjects (59 SCZ patients, 6 non-SCZ psychiatric patients, 79 controls) are analyzed.