Disease Severity, Illness Perceptions, Depression and Health-Related Quality of Life in Patients With Heart Failure.

Background: Disease severity negatively affects health-related quality of life (HRQOL) among people with heart failure (HF). However, the underlying mechanisms remain underexplored. Illness perceptions and depression serve as potential mediators of this relationship, but the evidence supporting this is limited.

Highly sensitive aggregation-induced electrochemiluminescence sensor for cadmium detection in Ganoderma lucidum.

Cadmium (Cd) pollution poses a major threat to food safety. Sensitive detection of Cd is of great significance for the life health. Herein, an aggregation-induced electrochemiluminescence (AIECL) sensor based on polymer dots (Pdots) is designed for Cd detection.

Pan-genomic characterization and structural variant analysis reveal insights into spore development and species diversity in .

Understanding the genomic diversity and functional implications of species is crucial for elucidating their evolutionary history and biotechnological potential. Here, we present the first pan-genomic analysis of spp., combining five newly sequenced genomes with ten publicly available genomes.

Weather Radar Calibration Method Based on UAV-Suspended Metal Sphere.

Weather radar is an active remote sensing device used to monitor the full lifecycle changes in severe convective weather with high spatial and temporal resolution. Effective radar calibration is a crucial foundation for ensuring the high-quality application of observational data. This paper utilizes a UAV platform equipped with a high-precision RTK system and standard metal spheres to study the principles and methods of metal sphere calibration, constructing a complete calibration process and calibration accuracy evaluation metrics.

Identification and Functional Characterization of Carboxylesterase Genes Involved in Spirodiclofen Resistance in (McGregor).

Overexpression of carboxyl/cholinesterase (CCE) genes has been reported to be associated with many cases of pesticide resistance in arthropods. However, it has been rarely documented that genes participate in spirodiclofen resistance in . In previous research, we found that spirodiclofen resistance is related to increased P450 and CCE enzyme activities in .

Prediction of frequency response of sub-frame bushing and study of high-order fractional derivative viscoelastic model.

This paper presents experimental and dynamic modeling research on the rubber bushings of the rear sub-frame. The Particle Swarm Optimization algorithm was utilized to optimize a Backpropagation (BP) neural network, which was separately trained and tested across two frequency ranges: 1-40 Hz and 41-50 Hz, using wideband frequency sweep dynamic stiffness test data. The testing errors at amplitudes of 0.

Overexpression of a nuclear receptor HR96 contributes to spirodiclofen susceptibility in Panonychus citri (McGregor).

The citrus red mite, Panonychus citri, is one of the most notorious and devastating citrus pests around the world that has developed resistance to multiple chemical acaricides. In previous research, we found that spirodiclofen-resistant is related to overexpression of P450, CCE, and ABC transporter genes in P. citri.

Predictive Value of Jugulo-omohyoid Lymph Nodes in Lateral Lymph Node Metastasis of Papillary Thyroid Cancer.

Background: Jugulo-omohyoid lymph nodes (JOHLN) metastasis has proven to be associated with lateral lymph node metastasis (LLNM). This study aimed to reveal the clinical features and evaluate the predictive value of JOHLN in PTC to guide the extent of surgery.

Methods: A total of 550 patients pathologically diagnosed with PTC between October 2015 and January 2020, all of whom underwent thyroidectomy and lateral lymph node dissection, were included in this study.

SARS-CoV-2 Infection Impairs Oculomotor Functions: A Longitudinal Eye-tracking Study.

Although Severe Acute Respiratory Syndrome Coronavirus 2 infection (SARS-CoV-2) is primarily recognized as a respiratory disease, mounting evidence suggests that it may lead to neurological and cognitive impairments. The current study used three eye-tracking tasks (free-viewing, fixation, and smooth pursuit) to assess the oculomotor functions of mild infected cases over six months with symptomatic SARS-CoV-2 infected volunteers. Fifty symptomatic SARS-CoV-2 infected, and 24 self-reported healthy controls completed the eye-tracking tasks in an initial assessment.

Fully Sparse Fusion for 3D Object Detection.

Currently prevalent multi-modal 3D detection methods rely on dense detectors that usually use dense Bird's-Eye-View (BEV) feature maps. However, the cost of such BEV feature maps is quadratic to the detection range, making it not scalable for long-range detection. Recently, LiDAR-only fully sparse architecture has been gaining attention for its high efficiency in long-range perception.

Learnable Graph Matching: A Practical Paradigm for Data Association.

Data association is at the core of many computer vision tasks, e.g., multiple object tracking, image matching, and point cloud registration.

Distinct risk factors of lateral lymph node metastasis in patients with papillary thyroid cancer based on age stratification.

Introduction: Studies have revealed that age is associated with the risk of lateral lymph node metastasis (LLNM) in papillary thyroid cancer (PTC). This study aimed to identify the optimal cut point of age for a more precise prediction model of LLNM and to reveal differences in risk factors between patients of distinct age stages.

Methods: A total of 499 patients who had undergone thyroidectomy and lateral neck dissection (LND) for PTC were enrolled.

Assessing the data quality of AdHawk MindLink eye-tracking glasses.

Most commercially available eye-tracking devices rely on video cameras and image processing algorithms to track gaze. Despite this, emerging technologies are entering the field, making high-speed, cameraless eye-tracking more accessible. In this study, a series of tests were conducted to compare the data quality of MEMS-based eye-tracking glasses (AdHawk MindLink) with three widely used camera-based eye-tracking devices (EyeLink Portable Duo, Tobii Pro Glasses 2, and SMI Eye Tracking Glasses 2).

Comprehensive analysis of single-cell and bulk RNA-sequencing data identifies B cell marker genes signature that predicts prognosis and analysis of immune checkpoints expression in head and neck squamous cell carcinoma.

Recent studies have shown that B cells and the associated tertiary lymphoid structures (TLS) correlate with the response of patients to immune checkpoint inhibitors (ICIs) and predict overall survival (OS) in cancer patients. We screened 145 B cell marker genes (BCMG) by a comprehensive analysis of single-cell RNA-sequencing (scRNA-seq) data of head and neck squamous cell carcinoma (HNSC) from the Gene Expression Omnibus (GEO) database. The BCMG signature (BCMGS) was established using The Cancer Genome Atlas (TCGA) dataset of HNSC and verified in four independent datasets.

Effects of nurse-led self-care interventions on health outcomes among people with heart failure: A systematic review and meta-analysis.

Aim: To estimate the effects of nurse-led self-care interventions on people with heart failure (HF).

Background: Research evidence of the effects of nurse-led HF self-care interventions on patient outcomes is scant.

Design: A systematic review and meta-analysis of randomised controlled trials (RCTs).

An Improved Genetic Algorithm for the Recovery System of USVs Based on Stern Ramp Considering the Influence of Currents.

With the progression of marine exploration and exploitation, as well as the advancements in mechanical intelligence, the utilization of the unmanned surface vehicle (USV) and the design of their guidance system have become prominent areas of focus. However, the stern ramp recovery of the USV is still in its infancy due to its unique attitude requirements and automation design. Furthermore, few studies have addressed the impact of maritime disturbances, with most research limited to simulations.

The minimal number of examined lymph nodes for accurate nodal staging and favorable prognosis in T1-2 supraglottic laryngeal squamous cell carcinoma.

Objective: The study aimed to investigate the minimal number of examined lymph nodes (ELNs) for accurate assessment of lymph node status and favorable prognosis in patients with stage T1-2 supraglottic laryngeal squamous cell carcinoma (LSCC) who received radical resection.

Methods: Patients with stage T1-2 supraglottic LSCC from the Surveillance, Epidemiology, and End Results (SEER) database and the Chinese Academy of Medical Sciences, Cancer Hospital/National Cancer Center (NCC) were reviewed. The association of the ELN count with the identification of nodal metastasis and overall survival (OS) was analyzed using a multivariate regression model.

Quality evaluation of compounds in leaves of six species based on UPLC-MS/MS and chemometrics.

species are used as medicinal plants all over the world. The leaves of species are sustainable medicinal resources that are rich in taxoids and flavonoids. However, traditional identification methods cannot effectively identify species on the basis of leaces used as raw medicinal materials, because their appearance and morphological characteristics are almost the same, and the probability of error identification increases in accordance with the subjective consciousness of the experimenter.

The Optimal Age Threshold for Stratifying the Risks of Disease Progression in Patients with Highly Suspicious Sub-centimeter Thyroid Nodules.

Purpose: The study aimed to identify the value and optimal age cutoff to predict the progression of highly suspicious thyroid nodules ≤ 10 mm during active surveillance (AS), and to reveal distinct risk factors in patients of different ages.

Methods: A total of 779 patients with highly suspicious thyroid nodules were enrolled and followed up by ultrasonography. Locally weighted scatterplot smoothing (LOWESS) and the package 'changepoint' were used to identify the optimal age cutoffs using R.

A CNN-Based Wearable System for Driver Drowsiness Detection.

Drowsiness poses a serious challenge to road safety and various in-cabin sensing technologies have been experimented with to monitor driver alertness. Cameras offer a convenient means for contactless sensing, but they may violate user privacy and require complex algorithms to accommodate user (e.g.

Distractor-evoked deviation in saccade direction suggests an asymmetric representation of the upper and lower visual fields on oculomotor maps.

The programming of rapid eye movements or "saccades" involves a large collection of neural substrates. The subcortical oculomotor center - the superior colliculus (SC) - contains a topographical motor map that encodes saccade vectors. Using a visual distractor task, the present study examined a classic model of the SC motor map, which assumes a symmetrical representation of the upper visual field (UVF) and lower visual field (LVF).

The optimal number of examined lymph nodes for accurate nodal staging and favorable prognosis of oral tongue squamous cell carcinoma.

Objective: The study aimed to determine the optimal count of examined lymph nodes (ELN) for accurate assessment of lymph node status and favorable long-term survival in patients with oral tongue squamous cell carcinoma (OTSCC) who received radical resection.

Methods: Patients with OTSCC who received radical resection between 2004 and 2015 were enrolled from the Surveillance, Epidemiology, and End Results database (SEER) and were randomly divided into two cohorts. The association of ELN count with nodal migration and overall survival (OS) was analyzed using a multivariate regression model with the adjustment of relevant factors.

Formation, stability and the application of Pickering emulsions stabilized with OSA starch/chitosan complexes.

We demonstrated the formation, structure and stability of Pickering emulsions stabilized by octenyl succinic anhydride starch (OSA-S)/chitosan (CS) complexes and explored their potential as templates for porous materials. Sufficient oil fraction (Φ > 50 %) was decisive for stable emulsions, whereas the complex concentration (c) significantly affected the gel network of emulsions. An increase in Φ or c led to tighter droplet arrangement and enhanced network, which improved the self-supporting characteristics and the stability of emulsions.

Twist-Net: A multi-modality transfer learning network with the hybrid bilateral encoder for hypopharyngeal cancer segmentation.

Hypopharyngeal cancer (HPC) is a rare disease. Therefore, it is a challenge to automatically segment HPC tumors and metastatic lymph nodes (HPC risk areas) from medical images with the small-scale dataset. Combining low-level details and high-level semantics from feature maps in different scales can improve the accuracy of segmentation.