Sensor Fusion Method for Object Detection and Distance Estimation in Assisted Driving Applications.

The fusion of multiple sensors' data in real-time is a crucial process for autonomous and assisted driving, where high-level controllers need classification of objects in the surroundings and estimation of relative positions. This paper presents an open-source framework to estimate the distance between a vehicle equipped with sensors and different road objects on its path using the fusion of data from cameras, radars, and LiDARs. The target application is an Advanced Driving Assistance System (ADAS) that benefits from the integration of the sensors' attributes to plan the vehicle's speed according to real-time road occupation and distance from obstacles.

Psychological sense of community as mediator and growth mindset as moderator in the impact of institutional integrity and perceived teacher support on student thriving: Evidence from private universities in China.

Previous research may have focused more on the direct rather than indirect effects of psychological characteristics on student success. This study explored the mediating effect of psychological sense of community and the moderating effect of growth mindset on the impacts of institutional integrity and perceived teacher support on student thriving in academic, interpersonal, and psychological domains. The hypothesized research model was proposed based on the Thriving Model, and the study was carried out in the setting of private universities in China.

Biofilm-modified Prussian blue improves memory function in late-stage Alzheimer's disease mice with triple therapy.

Alzheimer's disease (AD) is a neurodegenerative disease that is significantly characterized by cognitive and memory impairments, which worsen significantly with age. In the late stages of AD, metal ion disorders and an imbalance of reactive oxygen species (ROS) levels occur in the brain microenvironment, which causes abnormal aggregation of β-amyloid (Aβ), leading to a significant worsening of the AD symptoms. Therefore, we designed a composite nanomaterial of macrophage membranes-encapsulated Prussian blue nanoparticles (PB NPs/MM).

STEAP3 is a potential preliminary prognostic biomarker of glioblastoma.

Six-transmembrane epithelial antigen of prostate 3 (STEAP3), a member of the iron regulation protein family, is characterized by a high recurrence rate and a short survival time. Nevertheless, studies investigating the role of STEAP3 in glioblastoma (GB) are scarce. In this study, the prognostic value of STEAP3 was evaluated utilizing mRNA expression profiles from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases as the validation and training cohorts, respectively.

New wearable cardiac acoustic monitoring technology for evaluation of subclinical leaflet thrombosis after transcatheter aortic valve replacement.

Background: Subclinical leaflet thrombosis (SLT) is a common complication after transcatheter aortic valve replacement (TAVR). Multidimensional CT (MDCT) is the main imaging mortality for the diagnosis of SLT but it enhances the risk of contrast-induced nephropathy. Our study aimed to use an innovative wearable acoustic cardiography (ACG) device to diagnose SLT as an alternative option.

Accelerating Tandem Electroreduction of Nitrate to Ammonia via Multi-Site Synergy in Mesoporous Carbon-Supported High-Entropy Intermetallics.

The electrochemical nitrate reduction reaction (NO RR) for ammonia (NH) synthesis represents a significant technological advancement, yet it involves a cascade of elementary reactions alongside various intermediates. Thus, the development of multi-site catalysts for enhancing NO RR and understanding the associated reaction mechanisms for NH synthesis is vital. Herein, a versatile approach is presented to construct platinum based high-entropy intermetallic (HEI) library for NH synthesis.

Aeration-Free Photo-Fenton-Like Reaction Mediated by Heterojunction Photocatalyst toward Efficient Degradation of Organic Pollutants.

The regulation of peroxymonosulfate (PMS) activation by photo-assisted heterogeneous catalysis is under in-depth investigation with potential as a replaceable advanced oxidation process in water purification, yet it remains a significant challenge. Herein, we demonstrate a strategy to construct polyethylene glycol (PEG) well-coupled dual-defect V-M-CoO@CN S-scheme heterojunction to degrade organic pollutants without aeration, which dramatically provides abundant active sites, excellent photo-thermal property, and distinct charge transport pathway for PMS activation. The degradation rate of V-M-CoO@CN in anaerobic conditions shows a higher efficient rate (4.

AtDGCR14L contributes to salt-stress tolerance via regulating pre-mRNA splicing in Arabidopsis.

In plants, pre-mRNA alternative splicing has been demonstrated to be a crucial tier that regulates gene expression in response to salt stress. However, the underlying mechanisms remain elusive. Here, we studied the roles of DIGEORGE-SYNDROME CRITICAL REGION 14-like (AtDGCR14L) in regulating pre-mRNA splicing and salt stress tolerance.

Rapid and Simultaneous Determination of 13 Sulfonamides in Soil by Matrix Solid-Phase Dispersion With High-Performance Liquid Chromatography-Tandem Mass Spectrometry.

Sulfonamides, the most frequent antibacterial agent, are widely used due to their low cost and excellent antibacterial effect. With the emergence of the environment, the potential hazard to the ecological environment has attracted the great attention of humans. Based on matrix solid-phase dispersion coupled with high-performance liquid chromatography-tandem mass spectrometry, an accurate, fast, and sensitive analytical method was developed for the determination of sulfonamides (SAs) in soil.

Design of Intelligent Firefighting and Smart Escape Route Planning System Based on Improved Ant Colony Algorithm.

Due to the lack of real-time planning for fire escape routes in large buildings, the current route planning methods fail to adequately consider factors related to the fire situation. This study introduces a real-time fire monitoring and dynamic path planning system based on an improved ant colony algorithm, comprising a hierarchical arrangement of upper and lower computing units. The lower unit employs an array of sensors to collect environmental data in real time, which is subsequently transmitted to an upper-level computer equipped with LabVIEW.

Acute Renal Failure Secondary to Gastroenteritis in a United States Citizen, Corrected With Renal Replacement Therapy.

Cholera is an acute gastroenteritis that can lead to fatal dehydration and metabolic derangements. Cases of cholera in the United States are typically associated with international travel. Patients who are persistently dehydrated despite aggressive rehydration and antibiotic therapy may require hemodialysis until symptom resolution and stabilization of renal function.

Functional diversification within the heme-binding split-barrel family.

Due to neofunctionalization, a single fold can be identified in multiple proteins that have distinct molecular functions. Depending on the time that has passed since gene duplication and the number of mutations, the sequence similarity between functionally divergent proteins can be relatively high, eroding the value of sequence similarity as the sole tool for accurately annotating the function of uncharacterized homologs. Here, we combine bioinformatic approaches with targeted experimentation to reveal a large multifunctional family of putative enzymatic and nonenzymatic proteins involved in heme metabolism.

A "Bottom-Up" Strategy for High-Performance Benzocyclobutene (BCB)-Subnanometer Inorganic Nanocomposites.

Developing benzocyclobutene (BCB) nanocomposites with ultra-small inorganic sizes represents a formidable challenge, although it offers great potential to produce materials with customizable structural and rich functional properties. In this study, we present a "bottom-up" design strategy for creating cross-linked benzocyclobutene (BCB) nanocomposites with highly dispersed nanodomains, such as organoalkoxysilane. This approach leverages ring-opening metathesis polymerization (ROMP) and thermally induced cycloaddition reactions to embed oligomeric silsesquioxanes, achieving a unique molecular structure with promising low-dielectric applications.

Sensitivity and Stability Study of Test Conditions for a 1 kW Proton Exchange Membrane Fuel Cell Stack.

This study investigates the impact of compression force on stack performance and the effect of testing conditions on sensitivity of stack performance. It explores the variation of assembly force on the pressure distribution at different positions in a 1 kW proton exchange membrane fuel cell stack. Polarization curves and high-frequency resistance (HFR) changes of the stack were measured under different assembly forces, and the optimal assembly force of the stack was determined using the average single-cell voltage (HFR-free).

Generating Synthesized Fluorescein Angiography Images From Color Fundus Images by Generative Adversarial Networks for Macular Edema Assessment.

Purpose: To assess the feasibility of generating synthetic fluorescein angiography (FA) images from color fundus (CF) images using pixel-to-pixel generative adversarial network (pix2pixGANs) for clinical applications. Research questions addressed image realism to retinal specialists and utility for assessing macular edema (ME) in Retinal Vein Occlusion (RVO) eyes.

Methods: We used a registration-guided pix2pixGANs method trained on the CF-FA dataset from Kham Eye Centre, Kandze Prefecture People's Hospital.

A Meta-Learning Approach for Classifying Multimodal Retinal Images of Retinal Vein Occlusion With Limited Data.

Purpose: To propose and validate a meta-learning approach for detecting retinal vein occlusion (RVO) from multimodal images with only a few samples.

Methods: In this cross-sectional study, we formulate the problem as meta-learning. The meta-training dataset consists of 1254 color fundus (CF) images from 39 different fundus diseases.

Biofilm-camouflaged Prussian blue synergistic mitochondrial mass enhancement for Alzheimer's disease based on Cu chelation and photothermal therapy.

Alzheimer's disease (AD) is one of the most common neurodegenerative diseases characterized by cognitive and memory impairment. Metal ion imbalance and Mitochondrial dysfunction, leading to abnormal aggregation of β-amyloid protein (Aβ), are key factors in the pathogenesis of AD. Therefore, we designed a composite nanometer system of red blood cell (RBC) membranes-encapsulated Prussian blue nanoparticles (PB/RBC).

One Stone, Three-Birds Approach: Ultra-active Ru/N, S-MoO/CNTs Electrocatalyst for Overall Water Splitting in Wide Electrode Applications (NF, GC, and CC).

The construction of exceptionally multifunctional electrocatalysts is essential for various applications, but it poses significant challenges. A novel electrocatalyst, denoted as Ru/N, S-MoO/CNTs, was successfully synthesized using a combination of mechano-grinding and hydrothermal/calcination techniques. The Ru/N, S-MoO/CNTs demonstrates ultrasmall overpotentials of 12 and 163 mV in NF, 51 and 167 mV in GCE, and 54 and 173 mV in CC for HER and OER, respectively, at a current density of 10 mA/cm in alkaline medium.

Rapid progress of an iris metastasis from esophageal cancer: a case report and review of literature.

This case report details a rare instance of rapid iris metastasis from esophageal cancer in a 59-year-old man. A literature review was conducted to explore recent advances in detecting, diagnosing, and treating intraocular metastatic malignancies. Positron emission tomography-computed tomography played a crucial role in identifying primary sites and systemic metastases.

Generative adversarial networks synthetic optical coherence tomography images as an education tool for image diagnosis of macular diseases: a randomized trial.

Purpose: This study aimed to evaluate the effectiveness of generative adversarial networks (GANs) in creating synthetic OCT images as an educational tool for teaching image diagnosis of macular diseases to medical students and ophthalmic residents.

Methods: In this randomized trial, 20 fifth-year medical students and 20 ophthalmic residents were enrolled and randomly assigned (1:1 allocation) into Group real OCT and Group GANs OCT. All participants had a pretest to assess their educational background, followed by a 30-min smartphone-based education program using GANs or real OCT images for macular disease recognition training.

Development and evaluation of a large language model of ophthalmology in Chinese.

Background: Large language models (LLMs), such as ChatGPT, have considerable implications for various medical applications. However, ChatGPT's training primarily draws from English-centric internet data and is not tailored explicitly to the medical domain. Thus, an ophthalmic LLM in Chinese is clinically essential for both healthcare providers and patients in mainland China.

Anchoring Ni(OH)-CeO Heterostructure on FeOOH-Modified Nickel-Mesh for Efficient Alkaline Water-Splitting Performance with Improved Stability under Quasi-Industrial Conditions.

Developing low-cost and industrially viable electrode materials for efficient water-splitting performance and constructing intrinsically active materials with abundant active sites is still challenging. In this study, a self-supported porous network Ni(OH)-CeO heterostructure layer on a FeOOH-modified Ni-mesh (NiCe/Fe@NM) electrode is successfully prepared by a facile, scalable two-electrode electrodeposition strategy for overall alkaline water splitting. The optimized NiCe/Fe@NM catalyst reaches a current density of 100 mA cm at an overpotential of 163 and 262 mV for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER), respectively, in 1.

Fault Diagnosis and Prediction System for Metal Wire Feeding Additive Manufacturing.

In the process of metal wire and additive manufacturing, due to changes in temperature, humidity, current, voltage, and other parameters, as well as the failure of machinery and equipment, a failure may occur in the manufacturing process that seriously affects the current situation of production efficiency and product quality. Based on the demand for monitoring of the key impact parameters of additive manufacturing, this paper develops a parameter monitoring and prediction system for the additive manufacturing feeding process to provide a basis for future fault diagnosis. The fault diagnosis and prediction system for metal wire supply and additive manufacturing utilizes STM 32 as its core, enabling the capture and transmission of temperature, humidity, current, and voltage data.

Preliminary Analysis of Potentially Overlapping Differentially Expressed Proteins in Both the Spinal Cord and Brain of SOD1 G93A Mice.

Objective: Proteomic elucidation is an essential step in improving our understanding of the biological properties of proteins in amyotrophic lateral sclerosis (ALS).

Methods: Preliminary proteomic analysis was performed on the spinal cord and brain of SOD1 G93A (TG) and wild-type (WT) mice using isobaric tags for relative and absolute quantitation.

Results: Partial up- and downregulated proteins showing significant differences between TG and WT mice were identified, of which 105 proteins overlapped with differentially expressed proteins in both the spinal cord and brain of progression mice.