Evaluating the impact of self-luminous road markings on driver behavior at unsignalized intersections: A simulator study.

Unsignalized intersections are accident-prone locations due to numerous conflict points and unclear right-of-way. This issue is exacerbated at night when road markings become less visible, leading to increased accident rates. Self-luminous road markings, a new type of proactive traffic safety control facility, have garnered increasing attention and are being gradually promoted due to their intelligent, stable brightness and variable characteristics.

Predictive model for PSA persistence after radical prostatectomy using machine learning algorithms.

Objective: To evaluate the efficacy of a machine learning model for predicting prostate-specific antigen (PSA) persistence after radical prostatectomy (RP).

Methods: Data from 470 patients who underwent RP at the Affiliated Hospital of Qingdao University from January 2018 to June 2021 were retrospectively analyzed. Ten risk factors, including age, body mass index (BMI), preoperative PSA, biopsy Gleason score, total prostate specific antigen density (PSAD), clinical tumor stage, clinical lymph node status, seminal vesicle invasion, capsular invasion and positive surgical margin, were included in the analysis.

Machine learning models predict the progression of long-term renal insufficiency in patients with renal cancer after radical nephrectomy.

Background: Chronic Kidney Disease (CKD) is a common severe complication after radical nephrectomy in patients with renal cancer. The timely and accurate prediction of the long-term progression of renal function post-surgery is crucial for early intervention and ultimately improving patient survival rates.

Objective: This study aimed to establish a machine learning model to predict the likelihood of long-term renal dysfunction progression after surgery by analyzing patients' general information in depth.

Targeting peptide antigens using a multiallelic MHC I-binding system.

Identifying highly specific T cell receptors (TCRs) or antibodies against epitopic peptides presented by class I major histocompatibility complex (MHC I) proteins remains a bottleneck in the development of targeted therapeutics. Here, we introduce targeted recognition of antigen-MHC complex reporter for MHC I (TRACeR-I), a generalizable platform for targeting peptides on polymorphic HLA-A*, HLA-B* and HLA-C* allotypes while overcoming the cross-reactivity challenges of TCRs. Our TRACeR-MHC I co-crystal structure reveals a unique antigen recognition mechanism, with TRACeR forming extensive contacts across the entire peptide length to confer single-residue specificity at the accessible positions.

A general system for targeting MHC class II-antigen complex via a single adaptable loop.

Major histocompatibility complex class II (MHCII) bound to a peptide antigen mediates interactions between CD4 T cells and antigen-presenting cells. Targeting peptide-MHCII with T cell antigen receptors (TCRs) and TCR-like antibodies has shown promise for autoimmune diseases and microbiome tolerance. To develop a general targeting approach, we introduce targeted recognition of antigen-MHC complex reporter for MHCII (TRACeR-II) for the rapid development of peptide-specific MHCII binders.

Analysis of influencing factors of acute kidney injury after unilateral nephrectomy.

Unilateral Nephrectomy is one of the most common treatments for surgical diseases of the kidney but often results in postsurgical acute kidney injury (AKI). In the current study, we aimed to investigate the risk factors for AKI in patients who have received Unilateral Nephrectomy. We retrospectively analysed 528 patients who underwent Unilateral Nephrectomy for different etiologies between January 2013 and December 2018 at the Affiliated Hospital of Qingdao University.

A general platform for targeting MHC-II antigens via a single loop.

Class-II major histocompatibility complexes (MHC-IIs) are central to the communications between CD4+ T cells and antigen presenting cells (APCs), but intrinsic structural features associated with MHC-II make it difficult to develop a general targeting system with high affinity and antigen specificity. Here, we introduce a protein platform, Targeted Recognition of Antigen-MHC Complex Reporter for MHC-II (), to enable the rapid development of peptide-specific MHC-II binders. has a small helical bundle scaffold and uses an unconventional mechanism to recognize antigens via a single loop.

Prediction model of gleason score upgrading after radical prostatectomy based on a bayesian network.

Objective: To explore the clinical value of the Gleason score upgrading (GSU) prediction model after radical prostatectomy (RP) based on a Bayesian network.

Methods: The data of 356 patients who underwent prostate biopsy and RP in our hospital from January 2018 to May 2021 were retrospectively analysed. Fourteen risk factors, including age, body mass index (BMI), total prostate-specific antigen (tPSA), prostate volume, total prostate-specific antigen density (PSAD), the number and proportion of positive biopsy cores, PI-RADS score, clinical stage and postoperative pathological characteristics, were included in the analysis.

Multifunctional Photoelectrochemical Biosensor Based on ZnInS/ZnS QDs@Au-Ag-Reversed Photocurrent of Cu-Metal-Organic Framework Coupled with CRISPR/Cas-12a-Shearing for Assay of Dual Targets.

False positives and negatives in bioanalytical assays remain a persistent problem. Herein, a multifunctional photoelectrochemical (PEC) biosensor based on ZnInS (ZIS)/ZnS quantum dots (QDs)@Au-Ag-reversed photocurrent of Cu-metal-organic framework (MOF) coupled with CRISPR/Cas-12a-shearing was innovatively developed for assay of dual targets. First, Cu-MOF as a good PEC material shows cathodic photocurrent.

Dual-wavelength electrochemiluminescence biosensor based on a multifunctional Zr MOFs@PEI@AuAg nanocomposite with intramolecular self-enhancing effect for simultaneous detection of dual microRNAs.

Rapid parallel detection of multi-targets has always been an exploration aim in electrochemiluminescence (ECL) assays. Herein, a multifunctional nanocomposite of Zr metal-organic frameworks (MOFs) @PEI@AuAg nanoclusters (NCs) with intense and stable dual-wavelength ECL was synthesized for the first time, and used to construct a new ECL biosensor for rapid simultaneous detection of dual targets. Notably, the novel ECL emitter Zr MOFs with high-performance was not only integrated with a co-reactant polyethyleneimine (PEI) to form a unique intramolecular self-enhancing structure, but also loaded a large number of another ECL emitter AuAg NCs, furthermore, AuAg NCs with superior electron transfer property can much enhance the electrical conductivity of the composites, thus achieving the goal of "killing three birds with one stone".

β-Cyclodextrin-functionalized graphene and metal-organic framework composites for ultrasensitive electrochemical detection of chloramphenicol.

Novel β-cyclodextrin (β-CD)@functionalized graphene (G)/Cu-1,3,5-benzenetricarboxylic acid (BTC) composites were prepared using β-CD functionalized graphene and Cu-BTC, and a new electrochemical sensor for sensitive detection of chloramphenicol (CAP) was developed based on the composites. A series of investigations on the β-CD@G/Cu-BTC composite material were conducted. The β-CD functionalized graphene solution has an excellent and stable dispersion effect.

Electrospun Elastic Films Containing AgNW-Bridged MXene Networks as Capacitive Electronic Skins.

Electronic skins (e-skins) are increasingly investigated and applied in wearable devices, but the robustness and convenient production of traditional e-skins are restricted. In this work, electrospun sandwich-structured elastic films (ESEFs) are developed and utilized as capacitive e-skins. The ESEFs consist of two nanocomposite mats as the electrode layers and a sandwiched thermoplastic polyurethane (TPU) mat as the dielectric layer.

Detection of Cu and S with fluorescent polymer nanoparticles and bioimaging in HeLa cells.

Novel spherical polymer nanoparticles were synthesized by hyperbranched polyethylenimine (hPEI) and 6-hydroxy-2-naphthaldehyde (HNA) via Schiff base reaction (one-pot reaction), which had great advantages in water solubility and green synthesis. Meanwhile, probe PEI-HNA could quickly detect Cu in the range of 0-60 μM in 30 s with the detection limit of 243 nM. The fluorescence of PEI-HNA-Cu could be recovered by the addition of S in 50 s with the detection limit of 227 nM.

Rapid and Large-Scale Quality Assessment of Two-Dimensional MoS Using Sulfur Particles with Optical Visualization.

The efficient nondestructive assessment of quality and homogeneity for two-dimensional (2D) MoS is critically important to advance their practical applications. Here, we presented a rapid and large-area assessment method for visually evaluating the quality and uniformity of chemical vapor deposition (CVD)-grown MoS monolayers simply with conventional optical microscopes. This was achieved through one-pot adsorbing abundant sulfur particles selectively onto as-grown poorer-quality MoS monolayers in a CVD system without any additional treatment.

Capacitive Pressure Sensors Containing Reliefs on Solution-Processable Hydrogel Electrodes.

Highly sensitive capacitive-type pressure sensor has been achieved by fabricating reliefs on solution-processable hydrogel electrodes. Hybrid PVA/PANI hydrogels (PVA, poly(vinyl alcohol); PANI, polyaniline) with a fully physically cross-linked binary network are selected as the electrodes of the pressure sensors. On the basis of the solution processability, reliefs are fabricated on the surface of PVA/PANI hydrogel electrodes by a template method.

Molecular imaging in the second near-infrared window.

In the past decade, noticeable progress has been achieved regarding fluorescence imaging in the second near-infrared (NIR-II) window. Fluorescence imaging in the NIR-II window demonstrates superiorities of deep tissue penetration and high spatial and temporal resolution, which are beneficial for profiling physiological processes. Meanwhile, molecular imaging has emerged as an efficient tool to decipher biological activities on the molecular and cellular level.

In vivo molecular imaging for immunotherapy using ultra-bright near-infrared-IIb rare-earth nanoparticles.

The near-infrared-IIb (NIR-IIb) (1,500-1,700 nm) window is ideal for deep-tissue optical imaging in mammals, but lacks bright and biocompatible probes. Here, we developed biocompatible cubic-phase (α-phase) erbium-based rare-earth nanoparticles (ErNPs) exhibiting bright downconversion luminescence at ~1,600 nm for dynamic imaging of cancer immunotherapy in mice. We used ErNPs functionalized with cross-linked hydrophilic polymer layers attached to anti-PD-L1 (programmed cell death-1 ligand-1) antibody for molecular imaging of PD-L1 in a mouse model of colon cancer and achieved tumor-to-normal tissue signal ratios of ~40.

Light-sheet microscopy in the near-infrared II window.

Non-invasive deep-tissue three-dimensional optical imaging of live mammals with high spatiotemporal resolution is challenging owing to light scattering. We developed near-infrared II (1,000-1,700 nm) light-sheet microscopy with excitation and emission of up to approximately 1,320 nm and 1,700 nm, respectively, for optical sectioning at a penetration depth of approximately 750 μm through live tissues without invasive surgery and at a depth of approximately 2 mm in glycerol-cleared brain tissues. Near-infrared II light-sheet microscopy in normal and oblique configurations enabled in vivo imaging of live mice through intact tissue, revealing abnormal blood flow and T-cell motion in tumor microcirculation and mapping out programmed-death ligand 1 and programmed cell death protein 1 in tumors with cellular resolution.

The Latitudinal Patterns of Leaf and Soil C:N:P Stoichiometry in the Loess Plateau of China.

Understanding the spatial patterns and the driving factors of plant leaf and soil stoichiometry are critical for improving the parameterization of future ecological models and to predict the responses of ecosystems to environmental changes. This study aimed to determine how the latitudinal patterns of leaf and soil C:N:P stoichiometry are affected by climate and vegetation types in the dryland ecosystems. The concentrations of leaf C, N, and P in herb community as well as soil nutrient concentrations along a 500-km-long latitudinal gradient in Northern Shaanxi of the Loess Plateau, were measured.