Analyzing the medical record homepages quality in a Chinese EMR system.

Background: The medical record homepage represents the core and quintessential distillation of the entire medical record. This study aims to investigate the problems with the medical record homepages data quality after the upgrade of the electronic medical record system, while simultaneously proposing practical and feasible measures to catalyze substantive improvements in data quality standards.

Methods: A retrospective analysis of data extracted from the medical record homepage system was conducted at a Chinese tertiary hospital affiliated with a medical university between January and December 2021.

Risk management in POCT blood glucose monitoring: FMEA approach aligned with ISO 15189:2022.

Objective: Point-of-care testing (POCT) blood glucose meters provide rapid and convenient monitoring for clinical care and chronic disease management. However, their accuracy is often compromised by risks associated with personnel, equipment, and procedural inconsistencies. This study systematically assesses these risks using the Failure Mode and Effects Analysis (FMEA) method and proposes control measures aligned with ISO 15189:2022 standards.

The effects of ethnic sentiment and social differentiation on pastoralists' willingness to turn out of pasture.

The pastures in China's pastoral areas have a "small and scattered" distribution, which results in overloading and overgrazing, ecological degradation, and other problems. These problems have constrained the sustainable development of grassland animal husbandry. Governments at all levels have implemented measures to promote the transfer of pastureland for herders, which has become a meaningful way to optimize the allocation of pastureland resources and improve the ecological environment in the second instance.

Adaptive All-Fiber Actuator for Human-Environment Interaction.

A closed-loop pathway of "efficient actuation-synchronous sensing-multimodal feedback" is crucial for actuators to adapt to complex scenarios and human-environment interactions. Strategies to reconcile mechanics-guaranteed adaptive actuation with multimodal responses and perceptivity remain challenging. Through a continuous electrospinning strategy to construct a reinforced fiber-interlocked interface, a bilayer fiber membrane (TCTR) actuator composed of highly aligned fiber and hierarchical structures is developed to obtain efficient photothermal performance (22.

Contrastive Neuron Pruning for Backdoor Defense.

Recent studies have revealed that deep neural networks (DNNs) are susceptible to backdoor attacks, in which attackers insert a pre-defined backdoor into a DNN model by poisoning a few training samples. A small subset of neurons in DNN is responsible for activating this backdoor and pruning these backdoor-associated neurons has been shown to mitigate the impact of such attacks. Current neuron pruning techniques often face challenges in accurately identifying these critical neurons, and they typically depend on the availability of labeled clean data, which is not always feasible.

P2TC: A Lightweight Pyramid Pooling Transformer-CNN Network for Accurate 3D Whole Heart Segmentation.

Cardiovascular disease is a leading global cause of death, requiring accurate heart segmentation for diagnosis and surgical planning. Deep learning methods have been demonstrated to achieve superior performances in cardiac structures segmentation. However, there are still limitations in 3D whole heart segmentation, such as inadequate spatial context modeling, difficulty in capturing long-distance dependencies, high computational complexity, and limited representation of local high-level semantic information.

Hyperbolic Geometry-Driven Robustness Enhancement for Rare Skin Disease Diagnosis.

The automated diagnosis of rare skin diseases using dermoscopy images, known as a few-shot learning (FSL) problem, remains challenging, since traditional FSL research tends to disregard the intrinsic hierarchical nature of rare diseases and data uncertainty. To address these issues, we propose to conduct rare skin disease diagnosis in hyperbolic space, which facilitates implicit class hierarchical structures and precise uncertainty measurement due to pivotal geometrical properties. We propose a Hyperbolic Geometry-driven Robustness Enhancement (HGRE) framework specifically tailored for diagnosing rare skin diseases.

Mitochondrial Dysfunction in Neurodegenerative Diseases: Mechanisms and Corresponding Therapeutic Strategies.

Neurodegenerative disease (ND) refers to the progressive loss and morphological abnormalities of neurons in the central nervous system (CNS) or peripheral nervous system (PNS). Examples of neurodegenerative diseases include Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS). Recent studies have shown that mitochondria play a broad role in cell signaling, immune response, and metabolic regulation.

Diagnosis and treatment of bipolar disorder in Phelan-McDermid syndrome: A case report and review of literature.

Background: Phelan-McDermid syndrome (PMS) is a rare genetic disorder characterized by intellectual disability, delayed language development, autism spectrum disorders, motor tone abnormalities, and a high risk of psychiatric symptoms, including bipolar disorder.

Case Summary: This report presented an 18-year clinical history of a 36-year-old woman with PMS, marked by intellectual disabilities, social withdrawal, and stereotyped behaviors. Diagnosed with bipolar disorder at the age of 18 years old, she encountered significant treatment challenges, including severe adverse reactions to antipsychotic medications in 2022, which led to speech and functional regression.

Comparison of methods for the preparation of single-cell suspensions of rat retina and immunophenotyping by flow cytometry.

Background: Although the eye has traditionally been considered an immune-privileged organ, progressive studies have re-evaluated the role of the immune response in retinopathy. The application of flow cytometry for immunophenotyping analysis of retinal single-cell suspensions has gradually attracted attention.

New Methods: We dissociated the retinal tissue using trypsin digestion, papain digestion, mechanical grinding treatment and liberase + DNase Ⅰ digestion, respectively.

Fasting enhances the efficacy of Sorafenib in breast cancer via mitophagy mediated ROS-driven p53 pathway.

The multi-kinase inhibitor sorafenib has shown potential to inhibit tumor cell growth and intra-tumoral angiogenesis by targeting several kinases, including VEGFR2 and RAF. Abnormal activation of the Ras/Raf/MAPK/ERK kinase cascade and the VEGF pathway is a common feature in breast cancer. However, the efficacy of sorafenib in breast cancer treatment remains limited.

Mapping the evolution and frontiers of : a bibliometric analysis and literature review.

Background And Objective: While bibliometric studies of single journals have been conducted, bibliometric mapping has not yet been used to analyze the literature published by the (). This study aimed to comprehensively review all publications of from its inception to 2024 and provide a detailed overview of its main publication characteristics.

Methods: This study analyzed publications from spanning 2012 to 2024 using CiteSpace, VOSviewer, and the 'Bibliometrix' package in R.

ECG signal generation using feature disentanglement auto-encoder.

The demand for electrocardiogram (ECG) datasets, particularly those containing rare classes, poses a significant challenge as deep learning becomes increasingly prevalent in ECG signal research. While generative adversarial networks (GANs) and variational autoencoders (VAEs) are widely adopted, they encounter difficulties in effectively generating samples for classes with limited instances.To address this issue, we propose a noveleatureisentanglement Auto-Encoder (FDAE) designed to dissect various generative factors under a contrastive learning framework within ECG data to facilitate the generation of new ECG samples.

Panel containing three serum microRNAs: a promising biomarker for early detection of bladder cancer.

Background: Bladder cancer (BC) is a common tumor worldwide. Screening for BC currently lacks a highly efficient, non-invasive, and inexpensive method. Serum microRNA (miRNA), which is stable and commonly present, has the potential to serve as a novel marker for BC diagnosis.

The Novel Elemene Derivative, OMe-Ph-Elemene, Attenuates Oxidative Phosphorylation and Facilitates Apoptosis by Inducing Intracellular Reactive Oxygen Species.

The incidence and mortality rates of colorectal cancer have been steadily increasing, making it one of the most prevalent cancers globally. Although current chemotherapy drugs have shown some efficacy in treating this disease, their associated side effects necessitate the development of more effective treatments and medications. The clinical application of elemene is widely utilized in tumor treatment; however, its efficacy is hindered by the requirement for high dosage and suboptimal anticancer effects.

Development models to predict complication and prognosis following liver resection for hepatocellular carcinoma in patients with clinically significant portal hypertension.

Background: Postoperative complications are potential factors influencing the prognosis of patients with HCC combined with CSPH. This study aims to explore the risk factors affecting the occurrence of postoperative complications, investigate potential factors influencing long-term prognosis in these patients, and establish predictive models.

Methods: From April 2018 to December 2021, a total of 190 patients with HCC combined with CSPH who underwent curative liver resection in our hospital were included, comprising 69 cases in the complication group and 121 cases in the non-complication group.

Development of a two-component recombinant vaccine for COVID-19.

Introduction: Though COVID-19 as a public health emergency of international concern (PHEIC) was declared to be ended by the WHO, it continues to pose a significant threat to human society. Vaccination remains one of the most effective methods for preventing COVID-19. While most of the antigenic regions are found in the receptor binding domain (RBD), the N-terminal domain (NTD) of the S protein is another crucial region for inducing neutralizing antibodies (nAbs) against COVID-19.

A rare case of extrapulmonary hamartoma on the visceral pleura treated by uniportal VATS: case report and literature review.

Pulmonary hamartomas are common. However, extrapulmonary hamartomas on the Visceral Pleura are very rare. We treated a patient with a pulmonary nodule at the left lower lobe by uniportal video-assisted thoracoscopic wedge resection, which showed a yellow nodule located on the visceral pleura.

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.

Radiation therapy is a primary and effective treatment strategy for NasoPharyngeal Carcinoma (NPC). The precise delineation of Gross Tumor Volumes (GTVs) and Organs-At-Risk (OARs) is crucial in radiation treatment, directly impacting patient prognosis. Despite that deep learning has achieved remarkable performance on various medical image segmentation tasks, its performance on OARs and GTVs of NPC is still limited, and high-quality benchmark datasets on this task are highly desirable for model development and evaluation.

Influence of remnant lipoprotein particle cholesterol on non-target lesions progression in patients undergoing percutaneous coronary intervention.

Background: Low-Density Lipoprotein Cholesterol (LDL-C) is the primary lipid therapy target for coronary artery disease (CAD) patients after percutaneous coronary intervention (PCI). However, progression of coronary atherosclerosis occurs even LDL-C controlled well, some potentially important factors have been overlooked.

Objective: This study aims to elucidate the relationship between remnant lipoprotein particle cholesterol (RLP-C) and the progression of non-target lesions (NTLs) in patients with well-controlled lipid levels after PCI.

In-situ growing carbon nanotubes reinforced highly heat dissipative three-dimensional aluminum framework composites.

The demand for lightweight heat dissipation design in highly miniaturized and portable electronic devices with high thermal density is becoming increasingly urgent. Herein, highly thermal conductive carbon nanotubes (CNTs) reinforced aluminum foam composites were prepared by catalyst chemical bath and subsequent in-situ growth approach. The dense CNTs show the intertwined structure features and construct high-speed channels near the surface of the skeletons for efficient thermal conduction, promoting the transport efficiency of heat flow.

How do drivers perceive collision risk? A quantitative exploration in generalized two-dimensional scenarios.

Driving behavior is crucial in shaping traffic dynamics and serves as the foundation for safe and efficient autonomous driving. Despite the widespread interest in driving behavior modeling, existing models often focus on specific behaviors and cannot describe all types of vehicle movements, while vehicle status and driving scenarios are dynamic and infinite. That means comprehending and modeling generalized driving behavior mechanisms is essential.

Self-Adhesive Elastic Conductive Ink with High Permeability and Low Diffusivity for Direct Printing of Universal Textile Electronics.

Elastic conductive ink (ECI) can effectively balance the electromechanical properties of printed flexible electronics. It remains challenging to realize ECIs for direct printing on deformable porous substrates with complex textures, such as textiles, to form continuous and stable electrical paths. We engineered a self-adhesive ECI with high permeability and low diffusivity, achieving efficient electrode printing on a wide range of textiles with material and structure diversity.