The Predictive Value of Serum miR-141-3p, Fibrinogen, and Prostate-Specific Antigen Levels for Bone Metastasis in Prostate Cancer.

Prostate cancer is a prevalent malignancy among men that frequently progresses to bone metastasis, significantly affecting prognosis and quality of life. Serum biomarkers such as miR-141-3p, fibrinogen (FIB), and prostate-specific antigen (PSA) are emerging as promising tools for early detection and personalised interventions for bone metastasis. This study investigated their predictive value for bone metastasis in prostate cancer.

Mechanism for improving fermented soymilk gel through high-pressure homogenization: Regulating the structure of heat-induced protein aggregate.

Heat-induced aggregation of soybean protein (HIAP) during the preparation of soymilk results in poor texture, diminishes water-holding capacity and decreases the structural homogeneity of the fermented soymilk gel. Therefore, it is necessary to modify the HIAP to improve the texture of fermented soymilk gel. High-pressure homogenization (HPH) is an effective food processing technique and can potentially alter the HIAP conformation.

Characteristics, immobilization of linoleic acid isomerase from Bifidobacterium breve and its application in rice bran oil.

The purpose of this paper is to reduce the acid value of rice bran crude oil and make a new rice bran oil (RBO) with conjugated linoleic acid (CLA). Linoleic acid isomerase from Bifidobacterium breve was immobilized on a magnetic nanoflower carrier of FeO-SiO-NFs. Molecular docking simulations were performed to investigate the interaction and binding mode conformation between isomerase and linoleic acid (LA) molecules by using computer software.

Pregnancy-associated breast cancer: Management of the mother, fetus and tumour.

Introduction: Pregnancy-associated breast cancer (PABC) is described as breast cancer diagnosed within pregnancy or within 1 year postpartum. PABC is becoming more common due to delayed childbearing, with older maternal age increasing the likelihood of tumorigenesis coinciding with pregnancy. Our review aims to outline the important principles of managing PABC, and discusses future fertility implications, genetic testing and postnatal considera-tions that are not often considered in other existing reviews.

Taking Food to Mouth: Correlation Between Repetitive Movement and Upper Limb Flexion Synergy After Stroke.

BackgroundPathological upper-limb synergistic movement is a prevalent symptom of post-stroke motor dysfunction and pose a significant challenge in the rehabilitation of hemiplegia. However, the underlying mechanisms remain elusive, hindering the development of effective therapeutic strategies.ObjectiveThis study aims to explore the mechanisms underlying pathological synergic movements post-stroke by examining the interrelationship between motor modules associated with upper limb flexion synergy and the repetitive action of "taking food to the mouth.

Fusion of multi-scale feature extraction and adaptive multi-channel graph neural network for 12-lead ECG classification.

Background And Objective: The 12-lead electrocardiography (ECG) is a widely used diagnostic method in clinical practice for cardiovascular diseases. The potential correlation between interlead signals is an important reference for clinical diagnosis but is often overlooked by most deep learning methods. Although graph neural networks can capture the associations between leads through edge topology, the complex correlations inherent in 12-lead ECG may involve edge topology, node features, or their combination.

Career adaptability and patient safety culture perceptions among newly graduated oncology nurses: a latent profile analysis.

Background: Newly graduated nurses in cancer hospitals face significant challenges in high-pressure environments, struggling with career adaptability due to limited clinical experience. This adaptability is crucial for managing occupational stress and influences perceptions of patient safety culture. However, existing studies have not explored this group's latent profiles of career adaptability, underscoring the need for further research.

Ankle proprioception in sitting and standing: Association with static and dynamic balance in subacute stroke patients.

Background: Ankle proprioception deficit is a major factor causing balance dysfunction in subacute stroke survivors. However, there is still no commonly-agreed ankle proprioception evaluation method for these patients. Whether ankle proprioception tested by the active movement extent discrimination apparatus (AMEDA) when participants are standing (AMEDA-standing) or sitting (AMEDA-sitting).

The Relationship Between Work Engagement and Safety Behaviour of Oncology Nurses: A Latent Profile Analysis.

Aims: This study aims to identify distinct profiles of work engagement among oncology nurses through Latent Profile Analysis and explore how these profiles influence nurse safety behaviour.

Design: A cross-sectional design with latent profile analysis.

Methods: A total of 957 oncology nurses from tertiary hospitals across five provinces and municipalities in China participated in this questionnaire-based study.

GDH-TiONFs-rGO photoelectrode: A novel photoelectric chemobiosensor for lipase activity detection.

In the grain industry, lipases can hydrolyze the oils and fats in grains into glycerol and fatty acids, causing grain rancidity. If not detected and controlled, it would lead to the waste of grains and resources. In this research, rice bran was taken as the research object and a nanocomposite material with photoelectric activity, TiONFs-rGO, was developed by electrospinning technology.

Hierarchical Contrastive Learning for Semantic Segmentation.

Recently, pixel-to-pixel contrastive learning in single-scale feature space has been widely studied in semantic segmentation to learn a unified feature expression for pixels of the same category. However, the unified representation is too extreme, and the receptive field of each single-scale pixel is limited, which is insufficient to reflect the representative features of the category. To address these problems, this article extends the single-scale feature space to that of multiscale and proposes a hierarchical contrastive learning (Hi-CL) method to explore pixel-to-component semantic relationships.

The biomechanical effect of the O-A angle on the aortic valve under left ventricular assist device support: a primary fluid-structure interaction study.

Background: Left ventricular assist device (LVAD) has been widely used as an alternative treatment for heart failure, however, aortic regurgitation is a common complication in patients with LVAD support. And the O-A angle (the angle between LVAD outflow graft and the aorta) is considered as a vital factor associated with the function of aortic valve. To date, the biomechanical effect of the O-A angle on the aortic valve remains largely unknown.

The mediating role of medical coping modes between stigma and quality of life in patients undergoing lung cancer surgery: a cross-sectional study.

Background: Stigma has been identified as a significant factor impacting the health of lung cancer patients. However, the relationship between stigma, medical coping modes, and quality of life (QoL) has not been thoroughly examined.

Objective: This study aimed to explore the associations between stigma, medical coping modes, and QoL in patients undergoing lung cancer surgery.

Isolation of ice structuring proteins from winter wheat in frigid region (Dongnongdongmai1) and the effect on freeze-thaw stability of dough.

In this study, ice structuring proteins (WISPs) extracted from winter wheat in a frigid region were prepared and added to frozen-thawed dough. The WISPs were characterized, revealing that they contained a higher proportion of hydrophilic amino acids and had a molecular weight of approximately 15 kDa. The highest thermal hysteresis activity (THA) observed was 0.

VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset.

In this paper, we propose the Vision-Audio-Language Omni-peRception pretraining model (VALOR) for multimodal understanding and generation. Unlike widely-studied vision-language pretraining models, VALOR jointly models the relationships among vision, audio, and language in an end-to-end manner. It consists of three separate encoders for single modality representations and a decoder for multimodal conditional text generation.

Plasma Leucine-Rich Alpha-2-Glycoprotein 1 Reflects Higher Histological Grade, Worse Disease-Free Survival, and Unfavorable Overall Survival in Colorectal Cancer Patients who Receive Tumor Resection.

Leucine-rich alpha-2-glycoprotein 1 (LRG1) promotes colorectal cancer (CRC) growth, migration, and invasion. This study intended to investigate the association of plasma LRG1 with clinical characteristics, disease-free survival (DFS), and overall survival (OS) in CRC patients who received tumor resection. This study retrospectively included 125 CRC patients who received tumor resection.

Machine learning algorithm to predict postoperative bleeding complications after lateral decubitus percutaneous nephrolithotomy.

Bleeding is a serious complication following percutaneous nephrolithotomy (PCNL). This study establishes a predictive model based on machine learning algorithms to forecast the occurrence of postoperative bleeding complications in patients with renal and upper ureteral stones undergoing lateral decubitus PCNL. We retrospectively collected data from 356 patients with renal stones and upper ureteral stones who underwent lateral decubitus PCNL in the Department of Urology at Peking University First Hospital-Miyun Hospital, between January 2015 and August 2022.