Asthma is a chronic disease characterized by inflammation of the airways. The association between nutritional status, inflammation, and asthma has been well-documented, yet relationship Prognostic Nutritional Index (PNI) remains unclear. This study to see whether there PNI prevalence. present employed data from National Health Nutrition Examination Survey (NHANES) 2017 2020, including total 7,869 adult participants were included in analysis. Participants categorized into four quartiles based...

A variety of autoimmune disorders that do not fit the criteria for specific connective tissue diseases are included in category undifferentiated disease (UCTD). Facial lipoatrophy is an underreported presenting characteristic, despite prevalence cutaneous symptoms. The aim this article to demistrate potential early autologous fat grafting (AFG) treating facial depressions caused by UCTD. 29-year-old woman with UCTD presented progressive bilateral cheek and was managed tacrolimus lately....

Ischemic stroke, a neurological condition with complicated etiology that is accompanied by severe inflammation and oxidative stress, ethanol (EtOH) may aggravate ischemia/reperfusion (I/R)-induced brain damage. However, the effect of prolonged alcohol intake on acute injury remains ambiguous. As part mitogen-activated protein kinase (MAPK) family, p38γ involved in ferroptosis various diseases. This study explored how effects chronic EtOH consumption caused cerebral I/R. Brain damage was...

Recent advancements in text-to-3D generation can generate neural radiance fields (NeRFs) with score distillation sampling, enabling 3D asset creation without real-world data capture. With the rapid advancement NeRF quality, protecting copyright of generated has become increasingly important. While prior works watermark NeRFs a post-generation way, they suffer from two vulnerabilities. First, delay lies between and watermarking because secret message is embedded into model through...

Mesh watermark embeds secret messages in 3D meshes and decodes the message from watermarked for ownership verification. Current watermarking methods directly hide vertex face sets of meshes. However, mesh is a discrete representation that uses to describe continuous signal, which can be discretized other representations with different sets. This raises question whether still verified on mesh. We conduct this research an attack-then-defense manner by proposing novel function space removal...

The value of the non-high-density lipoprotein cholesterol to high-density ratio (NHHR) assessment in context metabolic abnormalities is growing importance. Nevertheless, relationship between NHHR and hyperuricemia (HUA) unknown. This study seeks investigate HUA.

The goal of 3D mesh watermarking is to embed the message in meshes that can withstand various attacks imperceptibly and reconstruct accurately from watermarked meshes. algorithm supposed multiple attacks, complexity should not grow significantly with size. Unfortunately, previous methods are less robust against lack adaptability. In this paper, we propose a adaptable deep Deep3DMark leverages attention-based convolutions tasks binary messages vertex distributions without texture assistance....

Background and objective High-sensitivity C-reactive protein (hs-CRP), a classical indicator of inflammation, holds significant clinical value in various diseases. The relationship between hs-CRP gallstones, however, remains poorly studied at present. gallstones will be investigated this study. Methods Data from the 2017–2020 National Health Nutrition Examination Survey (NHANES) were analyzed, focusing on participants aged 20 years older who provided complete gallstone information. Due to...

Clothes grasping and unfolding is a core step in robotic-assisted dressing. Most existing works leverage depth images of clothes to train deep learning-based model recognize suitable points. These methods often utilize physics engines synthesize reduce the cost real labeled data collection. However, natural domain gap between synthetic leads poor performance these on data. Furthermore, approaches struggle scenarios where points are occluded by clothing item itself. To address above...

Forward-looking sonar (FLS) is widely applied in underwater operations, among which the search of crash objects and victims an incredibly challenging task. An efficient detection method based on deep learning can intelligently detect FLS images, makes it a reliable tool to replace manual recognition. To achieve this aim, we propose novel Swin Transformer anchor-free network (STAFNet), contains strong backbone lite head with deformable convolution (DCN). We employ ROV equipped acquire dataset...

DC (

Background and objective Albuminuria is an important early marker of kidney damage progression chronic disease also linked to several systemic diseases. The Prognostic Nutritional Index (PNI) widely used in the assessment multiple However, research dealing with relationship between PNI albuminuria remains scarce. This project aims examine this association. Methods materials present study employed data from National Health Nutrition Examination Survey (NHANES) 2017 2020, including 7,737 adult...

Recent advancements in text-to-3D generation can generate neural radiance fields (NeRFs) with score distillation sampling, enabling 3D asset creation without real-world data capture. With the rapid advancement NeRF quality, protecting copyright of generated has become increasingly important. While prior works watermark NeRFs a post-generation way, they suffer from two vulnerabilities. First, delay lies between and watermarking because secret message is embedded into model through...

<title>Abstract</title> Early diagnosis of Alzheimer's disease (AD) is crucial for treatment and improving patient prognosis. However, due to the low content, complex composition, individual differences target proteins in real clinical specimens AD patients, ultra sensitive detection early biomarkers still faces challenges. This study presents development an ultrasensitive TiO₂/Au-C₃N₄ heterojunction photoelectrochemical biosensor, fabricated using electrophoretic deposition (EPD),...

The segmentation of forward-looking sonar (FLS) image could assist underwater vehicles to recognize and measure crash objects. Due the complex noise blurred object edge information in FLS image, accurate result requires model have strong feature extraction ability. CNN-based semantic networks focus too much on local information, which may amplify noise. And their computational overhead is high. To address these problems, we construct a novel efficient Mix Transformer U-like network named...

Improving the accuracy of box office revenue forecasts is conducive to stimulating creation, market investment, infrastructure construction, and rational allocation public resources in film market, as well promoting social welfare cultural prosperity. Since existing prediction algorithm does not consider industry structure, satisfying. This paper firstly builds a two-stage human-machine collaborative feature processing framework. In first stage, based on data, regression decision tree used...

Forward-looking sonars (FLS) are widely applied in the search of underwater wrecked objects. Intelligent FLS images object segmentation methods can effectively assist this task. However, low resolution and complex noise interference bring great challenges to segmentation. In paper, we propose a novel semantic network with multi-level feature fusion capability, called attention atrous pyramid nested U-Net (MAANU-Net). We use U-structure as main framework fuse features. addition, integrate...

The goal of 3D mesh watermarking is to embed the message in meshes that can withstand various attacks imperceptibly and reconstruct accurately from watermarked meshes. algorithm supposed multiple attacks, complexity should not grow significantly with size. Unfortunately, previous methods are less robust against lack adaptability. In this paper, we propose a adaptable deep Deep3DMark leverages attention-based convolutions tasks binary messages vertex distributions without texture assistance....

The signed distance field (SDF) represents 3D geometries in continuous function space. Due to its nature, explicit models (e.g., meshes) can be extracted from it at arbitrary resolution, which means losing the SDF is equivalent mesh. Recent research has shown meshes also SDF-enhanced neural radiance fields (NeRF). Such a signal raises an alarm that any implicit representation with enhancement extract original mesh, indicates identifying SDF's intellectual property becomes urgent issue. This...

Clothes grasping and unfolding is a core step in robotic-assisted dressing. Most existing works leverage depth images of clothes to train deep learning-based model recognize suitable points. These methods often utilize physics engines synthesize reduce the cost real labeled data collection. However, natural domain gap between synthetic leads poor performance these on data. Furthermore, approaches struggle scenarios where points are occluded by clothing item itself. To address above...