DMCA-Net: Dual-branch multi-granularity hierarchical contrast and cross-attention network for cervical abnormal cell detection.

Accurate detection of abnormal cells is essential for early screening and precise diagnosis of cervical cancer. Despite the recent advances in deep learning-based methods for cervical cancer detection, their broad clinical applications are hindered by several technical challenges. On the one hand, gradually evolved abnormal cells are visually similar to normal cells.

Risk Factors for Postoperative Neurologic Dysfunction in Patients with Spinal Tuberculosis: A Retrospective Study.

Purpose: Unexplained neurological dysfunction often occurs in patients after spinal tuberculosis(STB) surgery; therefore, this study aimed to analyze the causes of this dysfunction from the perspectives of the patient's preoperative inflammatory state, carrier bacterial state, and increased degree of autoimmunity.

Patients And Methods: We collected 247 patients with STB and 270 patients with degenerative diseases of the spine admitted from May 2015 to December 2024 at the Second Hospital of Shanxi Medical University. According to the exclusion criteria, 132 patients for each disease were included in this study.

Biodegradation of short-chain phthalate esters (PAEs) by Sinomonas sp. S2 isolated from a soil contaminated by metal(loid)s smelting.

Phthalate esters (PAEs) are widely used as plasticizers and beneficiation flotation agents in ore smelters, which are ubiquitously distributed emerging contaminants in the environment. The biodegradation of PAEs by degrading microbes is a promising method for their remediation. In this study, we isolated a novel PAE-degrading bacteria, Sinomonas sp.

Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T-FLAIR: a multi-centre study.

Early identification of cerebral small vessel disease related cognitive impairment (CSVD-CI) is crucial for timely clinical intervention. We developed a Transformer-based deep learning model using white matter hyperintensity (WMH) radiomics features from T-fluid-attenuated inversion recovery images to detect CSVD-CI. A total of 783 subjects (161 longitudinally followed) were enrolled from three centres for model development and external validation, using a domain adaptation strategy.

Safety and feasibility of prone retroperitoneal robotic-assisted partial nephrectomy (prRAPN): a novel posterior approach and perioperative results - a prospective study.

Purpose: Lateral positioning remains standard for retroperitoneal robotic-assisted partial nephrectomy (rRAPN). Emerging single-port systems have expanded supine positioning applications in rRAPN. This study evaluates the feasibility and safety of novel prone retroperitoneal RAPN (prRAPN).

Frequency of anti-GQ1b IgG antibody in Miller Fisher syndrome: a Chinese single center study.

Background: The anti-GQ1b IgG antibody has been traditionally regarded as a sensitive marker for Miller Fisher syndrome (MFS). Nevertheless, its prevalence might vary across regions and could be affected by the coronavirus disease 2019 (COVID-19) pandemic. This retrospective study was designed to evaluate the positivity rate of the anti-GQ1b IgG antibody among MFS patients admitted to a single Chinese center and to examine the influence of the COVID-19 pandemic thereon.

Multiple exciton generation boosting over 100% quantum efficiency photoelectrochemical photodetection.

The self-powered photoelectrochemical components themselves featured advancements in operating independently without external supply. Ultimately, due to lack of assistance from the external bias, the photoelectrochemical response is commonly restricted by the deficient photo-quantum efficiency for the absence of carrier multiplication. This work demonstrates a self-powered photoelectrochemical photodetector based on CuO/AlGaN nanowires with staggered band structure and enhanced built-in potential for efficient exciton extraction.

Shionone protects cerebral ischemic injury through alleviating microglia-mediated neuroinflammation.

Microglia, the resident immune cells in the central nervous system (CNS), rapidly transition from a resting to an active state in the acute phase of ischemic brain injury. This active state mediates a pro-inflammatory response that can exacerbate the injury. Targeting the pro-inflammatory response of microglia in the semi-dark band during this acute phase may effectively reduce brain injury.

Association between the American Heart Association's new "Life's Essential 8" metrics and urinary incontinence: a cross-sectional study of NHANES data from 2011 to 2018.

Background: Urinary incontinence (UI), as one of the five major global diseases, has seen a continuous rise in incidence, resulting in significant medical costs and societal burden. The American Heart Association (AHA) established the criteria of ideal cardiovascular health (CVH). and established the Life's Essential 8 (LE8) score to reduce the risk of cardiovascular mortality.

Comparison of the clinical efficacy of patellar lateral retraction and patellar eversion in total knee arthroplasty: a systematic review and meta-analysis.

Background: According to the mobilization technique of the intraoperative patella, total knee arthroplasty (TKA) can be categorized into patellar eversion (PE) and patellar lateral retraction (PLR). Comparisons between the two procedures are inconclusive; therefore, the study purpose was to assess the postoperative clinical efficacy to identify the most suitable procedure.

Methods: Electronic databases were searched, including Web of Science, ScienceDirect, PubMed, Embase, OVID, the Cochrane Library, CINAHL, CNKI, and WANFANG, to identify clinical trials of PLR versus PE from inception to May 2023.

MCM8 promotes NR4A1-mediated E2F1 transcription and facilitates renal cell carcinoma through enhancing aerobic glycolysis.

Renal cell carcinoma (RCC) is a type of renal malignancy originated from the urinary tubular epithelial system. Despite its high incidence, the molecular mechanisms driving its pathogenesis remain poorly understood, limiting therapeutic advancements. This study explored the link between MCM8 and RCC progression.

Ultrafast filtered back-projection for photoacoustic computed tomography.

The filtered back-projection (FBP) algorithm is widely used in photoacoustic computed tomography (PACT) for image reconstruction due to its simplicity and efficiency. Yet, the real-time processing of high-speed PACT data remains challenging for regular FBP implementations. To enhance the reconstruction efficiency of the FBP algorithm, researchers have developed FBP implementations based on the graphics processing units (GPUs).

Fortification of soluble soybean polysaccharide edible films with licorice root extract for nut preservation.

In order to improve the poor mechanical properties and strong hydrophilicity of soluble soybean polysaccharide (SSPS) based films, licorice residue extract (LE) was introduced into the film-forming matrix. In this study, the effect of the amount of LE on the microstructure, physical and functional performances of the SSPS-based films, and its antioxidant activity and practical application in delaying the oxidation of oil-fried peanuts were investigated. The results showed that the compounding of LE increased the tensile strength (TS) by 4.

Observation of ultraviolet photothermoelectric bipolar impulse in gallium-based heterostructure nanowires.

The incorporation of thermal dynamics alongside conventional optoelectronic principles holds immense promise for advancing technology. Here, we introduce a GaON/GaN heterostructure-nanowire ultraviolet electrochemical cell of observing a photothermoelectric bipolar impulse characteristic. By leveraging the distinct thermoelectric properties of GaON/GaN, rapid generation of hot carriers establishes bidirectional instantaneous gradients in concentration and temperature within the nanoscale heterostructure via light on/off modulation.

DCST: Dual Cross-Supervision for Transformer-based Unsupervised Domain Adaptation.

Unsupervised Domain Adaptation aims to leverage a source domain with ample labeled data to tackle tasks on an unlabeled target domain. However, this poses a significant challenge, particularly in scenarios exhibiting significant disparities between the two domains. Prior methods often fall short in challenging domains due to the impact of incorrect pseudo-labeling noise and the limits of handcrafted domain alignment rules.

Dual-Modal Optical Imaging of Tissue Perfusion in Response to Cooling Stimulation Facilitates Early Detection of Pressure Ulcer.

Pressure ulcers present a significant human and economic challenge, lacking a reliable method for early detection. To address this, we developed a system capable of early detection by using cooling stimulation and dynamic data acquisition techniques to monitor blood perfusion and skin temperature. The system consists of laser speckle perfusion imaging and thermal imaging.

Decoding sunitinib resistance in ccRCC: Metabolic-reprogramming-induced ABAT and GABAergic system shifts.

Sunitinib, a primary treatment for clear cell renal cell carcinoma (ccRCC), frequently encounters the challenge of resistance development. Metabolic reprogramming, a characteristic change in ccRCC, is likely linked to this resistance. Our research revealed a notable decrease in the expression of the key metabolic gene ABAT in ccRCC, which contributed to diminished sensitivity to sunitinib.

Connectome gradient dysfunction contributes to white matter hyperintensity-related cognitive decline.

Background: Although white matter hyperintensity (WMH) is closely associated with cognitive decline, the precise neurobiological mechanisms underlying this relationship are not fully elucidated. Connectome studies have identified a primary-to-transmodal gradient in functional brain networks that support the spectrum from sensation to cognition. However, whether connectome gradient structure is altered as WMH progresses and how this alteration is associated with WMH-related cognitive decline remain unknown.

Raman spectroscopy with an improved support vector machine for discrimination of thyroid and parathyroid tissues.

The objective of this study was to discriminate thyroid and parathyroid tissues using Raman spectroscopy combined with an improved support vector machine (SVM) algorithm. In thyroid surgery, there is a risk of inadvertently removing the parathyroid glands. At present, there is a lack of research on using Raman spectroscopy to discriminate parathyroid and thyroid tissues.

Construction of Hospital Infection Prevention and Control System in Lhasa Region Based on Failure Mode and Effect Analysis.

Objective: To explicitly apply Failure Model and Effects Analysis (FMEA) to enhance the effectiveness of hospital infection prevention and control in the Lhasa region, with a focus on reducing infection rates and improving emergency response strategies.

Methods: This study utilized a hybrid FMEA approach, combining qualitative expert insights with quantitative data analysis, to assess hospital infection risks from January 2019 to June 2023 in Lhasa hospitals.

Results: The FMEA analysis led to the development of targeted strategies for key prevention and control links.

Boosting the Curie temperature of GaN monolayer through van der Waals heterostructures.

The pursuit of van der Waals (vdW) heterostructures with high Curie temperature and strong perpendicular magnetic anisotropy (PMA) is vital to the advancement of next generation spintronic devices. First-principles calculations are used to study the electronic structures and magnetic characteristics of GaN/VSvdW heterostructure under biaxial strain and electrostatic doping. Our findings show that a ferromagnetic ground state with a remarkable Curie temperature (477 K), much above room temperature, exists in GaN/VSvdW heterostructure and 100% spin polarization efficiency.

A novel signature integrated endoplasmic reticulum stress and apoptosis related genes to predict prognosis for breast cancer.

Background: Breast cancer (BC) is the primary cause of cancer mortality. Herein, we aimed to establish and verify a prognostic model consisting of endoplasmic reticulum stress and apoptosis related genes (ERAGs) to predict patient survival.

Methods: The Cancer Genome Atlas (TCGA) database was used to download gene expression and clinical data to identify the differentially expressed genes (DEGs).

SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection.

Cervical abnormal cell detection plays a crucial role in the early screening of cervical cancer. In recent years, some deep learning-based methods have been proposed. However, these methods rely heavily on large amounts of annotated images, which are time-consuming and labor-intensive to acquire, thus limiting the detection performance.