Intelligent Adolescent Idiopathic Scoliosis Detection Method Based on Three-Dimensional Measurements.

Adolescent Idiopathic Scoliosis (AIS) is a prevalent latent disorder among adolescents. Early detection and screening are crucial for preventing the progression of deformities. Current assessment methods for spinal curvature rely on X-ray imaging to measure the Cobb angle and detect scoliosis.

Pull motivation and well-being as drivers of entrepreneurial success: The moderating role of social capital.

This study examines the interplay between entrepreneurial motivation, mental well-being (MWB), and business performance, with a focus on the moderating role of bridging social capital among female entrepreneurs in China. Drawing on Conservation of Resources (COR) and Social Capital theories, the research highlights the critical role of pull motivation in fostering MWB, which subsequently enhances business performance. The findings, based on moderated mediation analysis, reveal that MWB mediates the relationship between pull motivation and business performance, and this mediation effect is amplified in contexts with higher levels of bridging social capital.

Atomically Precise Au Clusters for 3D Visualization of Pathological Progression in Sepsis-Induced Multi-Organ Injury.

Sepsis has a high global incidence and mortality, requiring early identification and assessment of organ damage. We present a NIR-II 3D visualization strategy using atomically precise fluorescent Au clusters to detect sepsis-induced multi-organ injury. These clusters emit strong fluorescence at 1044 nm with extended photostability (up to 300 min).

Controllable Synthesis of Out-of-Plane Grown BiTeO with High-κ and Anisotropy for High-Performance Field-Effect Transistors.

Two-dimensional (2D) van der Waals (vdW) dielectrics with high-κ and anisotropy are crucial for advanced field-effect transistors (FETs) and other anisotropic electronic devices. Here, we demonstrate a 2D vdW dielectric, BiTeO, that uniquely combines high-κ with pronounced anisotropy. By adjusting the precursor mass during chemical vapor deposition, we can controllably synthesize BiTeO with orientations ranging from in-plane to out-of-plane.

A machine learning model for mortality prediction in patients with severe fever with thrombocytopenia syndrome: a prospective, multicenter cohort study.

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that imposes a considerable medical burden. In this study, we enrolled 1,606 SFTS patients, developed and validated machine learning models for mortality prediction, and ultimately constructed a model consisting of six variables. The prediction model, UNION-SFTS, constructed using the multilayer perceptron (MLP) algorithm, achieved the best performance with an area under the curve (AUC) of 0.

A Single-Cell Atlas Revealed Altered B Cells and Neutrophils Immune Signatures and Inflammatory Responses in SFTSV Infection.

Severe fever with thrombocytopenia syndrome virus (SFTSV) presents an emerging public threat due to its high mortality rate and ever-expanding geographic distribution. However, characterization of SFTSV infection pathogenesis and immunological impact at single-cell level remains underexplored. Here, we employ single-cell transcriptome-wide sequencing in peripheral blood mononuclear cells (PBMCs) from hospitalized SFTSV-infected patients to map the immune landscape across acute and convalescent stages of infection.

ATM priming and end resection-coupled phosphorylation of MRE11 is important for fork protection and replication restart.

The MRE11/RAD50/NBS1 (MRN) complex plays multiple roles in the maintenance of genome stability. MRN is associated with replication forks to preserve fork integrity and is also required for end resection at double-strand breaks (DSBs) to facilitate homologous recombination (HR). The critical need for proper control of the MRE11 nuclease activity is highlighted by the extensive nascent strand DNA degradation driven by MRE11 in BRCA-deficient cells, leading to genome instability and increased sensitivity to chemotherapeutics.

Analysis of high-risk factors for hepatocellular carcinoma after sustained virological suppression of chronic hepatitis B.

Chronic hepatitis B (CHB) patients who have sustained virological suppression (SVS) still develop hepatocellular carcinoma(HCC), and the risk factors for developing HCC in these patients are not fully understood. This study included a total of 5234 patients who achieved SVS. After SVS, the incidence rate of HCC was 1.

LncRNA SNHG1: A novel biomarker and therapeutic target in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related mortality globally. Increasing evidence suggests that long non-coding RNAs play a critical role in cancer development, with the small nucleolar RNA host gene family being a key participant in multiple types of carcinogenesis, including HCC. Small nucleolar RNA host gene 1 (SNHG1) is a significant member of the SNHG family.

Generative AI lacks the human creativity to achieve scientific discovery from scratch.

Scientists are interested in whether generative artificial intelligence (GenAI) can make scientific discoveries similar to those of humans. However, the results are mixed. Here, we examine whether, how and what scientific discovery GenAI can make in terms of the origin of hypotheses and experimental design through the interpretation of results.

Machine learning-based identification of telomere-related gene signatures for prognosis and immunotherapy response in hepatocellular carcinoma.

Telomere in cancers shows a main impact on maintaining chromosomal stability and unlimited proliferative capacity of tumor cells to promote cancer development and progression. So, we targeted to detect telomere-related genes(TRGs) in hepatocellular carcinoma (HCC) to develop a novel predictive maker and response to immunotherapy. We sourced clinical data and gene expression datasets of HCC patients from databases including TCGA and GEO database.

The Impact of High lncRNA Expression on Clinicopathological Characteristics and Prognosis of Endometrial Cancer Patients: A Meta-Analysis.

Backgrounds: A growing number of systematic bioinformatics analyses were conducted to investigate the mechanism of interaction between long non-coding RNA (lncRNA) and endometrial carcinoma (EC) to predict the prognosis. However, there is no evidence-based evidence that abnormal lncRNA expression is strongly associated with the pathological characteristics and prognosis of EC patients. In this meta-analysis, we systematically evaluated the relationship between upregulated lncRNA expression levels and clinicopathological features, five-year survival rate, and progression-free survival (PFS).

Enhancing diagnosis prediction with adaptive disease representation learning.

Diagnosis prediction predicts which diseases a patient is most likely to suffer from in the future based on their historical electronic health records. The time series model can better capture the temporal progression relationship of patient diseases, but ignores the semantic correlation between all diseases; in fact, multiple diseases that are often diagnosed at the same time reflect hidden patterns that are conducive to diagnosis, so predefined global disease co-occurrence graph can help the model understand disease relationships. But it may contain a lot of noise and ignore the semantic adaptation of the disease under the diagnosis target.

CircUCK2(2,3) promotes cancer progression and enhances synergistic cytotoxicity of lenvatinib with EGFR inhibitors via activating CNIH4-TGFα-EGFR signaling.

Background: Circular (circ)RNAs have emerged as crucial contributors to cancer progression. Nonetheless, the expression regulation, biological functions, and underlying mechanisms of circRNAs in mediating hepatocellular carcinoma (HCC) progression remain insufficiently elucidated.

Methods: We identified circUCK2(2,3) through circRNA sequencing, RT-PCR, and Sanger sequencing.

Translation and cultural adaption of MacLeod Clark professional identity scale among Chinese therapy students.

Background: Fostering a strong professional identity (PI) enhances career fulfillment. In China, therapy education is undergoing development, integrating both Western and traditional health concepts, causing inconsistent PI among therapy students. To date, no validated tools exist to measure and monitor PI of Chinese therapy students.

Gut microbiota and endometrial cancer: research progress on the pathogenesis and application.

As one of the three major malignant tumors in women, the morbidity of endometrial cancer is second only to that of cervical cancer and is increasing yearly. Its etiological mechanism is not clear, and the risk factors are numerous and common and are closely related to obesity, hypertension, diabetes, etc. The gut microbiota has many strains, which play a considerable part in normal digestion and absorption in the human body and the regulation of the immune response.

Probability analysis of hepatocellular carcinoma in hepatitis patients in the gray zone.

Objective: To investigate the probability of hepatocellular carcinoma (HCC) in a large number of gray-zone (GZ) patients with chronic hepatitis B (CHB) in clinical practice.

Methods: The patients with CHB who were diagnosed and treated in our hospital from January 2013 to January 2023 were analyzed retrospectively.

Results: According to the different levels of HBeAg, ALT and HBV DNA, GZ patients were divided into four categories: (1) Gray zone A (GZ-A): HBeAg positive, normal ALT level, HBV DNA ≤ 10 IU/ml; (2) Gray zone B (GZ-B): HBeAg positive, ALT>ULN, HBV DNA ≤ 2 × 10 IU/ml; (3) Gray zone C (GZ-C): HBeAg negative, normal ALT level, HBV DNA ≥ 2 × 10 IU/ml; and (4) Gray zone D (GZ-D): HBeAg negative, ALT > ULN, serum HBV DNA ≤ 2 × 10 IU/ml.

Can antiviral drugs address the treatment challenges of severe fever with thrombocytopenia syndrome? - a systematic meta-analysis.

Background: Severe Fever with Thrombocytopenia Syndrome (SFTS) is an emerging infectious disease with high mortality and severity rates. However, there is no clear treatment plan, specific effective antiviral drugs, or effective vaccine for SFTS. Recent studies have shown that the therapeutic effect of Ribavirin and other commonly used antiviral drugs such as Favipiravir (T-705), on SFTS is still controversial.

TCKAN: a novel integrated network model for predicting mortality risk in sepsis patients.

Sepsis poses a major global health threat, accounting for millions of deaths annually and significant economic costs. Accurately predicting the risk of mortality in sepsis patients enables early identification, promotes the efficient allocation of medical resources, and facilitates timely interventions, thereby improving patient outcomes. Current methods typically utilize only one type of data-either constant, temporal, or ICD codes.

Nucleophilic Sn Seeding and Interface Engineering for Highly Stable Sodium Metal Batteries.

Sodium metal is a promising anode material for energy storage beyond lithium-ion batteries due to its abundance and low cost. However, the uncontrolled growth of dendrites and associated safety concerns have limited the practical application of sodium metal batteries (SMBs). By embedding nucleophilic tin seeds in a free-standing carbon film (FSF), here, an effective solution is developed to stabilize the sodium metal anode.

Insights into the accumulation and hepatobiliary transport of bisphenols (BPs) in liver and bile.

Bisphenols (BPs) are widely distributed in daily life as typical endocrine disruptors. In this study, we examined the distribution of bisphenol A (BPA) and BPA alternatives in liver (n = 149) and bile (n = 102) tissues from the patients with liver cancer, and calculated the hepatobiliary transport efficiency of BPs (T). Seven BPs were detected in both liver (median: 0.

53BP1 deficiency leads to hyperrecombination using break-induced replication (BIR).

Break-induced replication (BIR) is mutagenic, and thus its use requires tight regulation, yet the underlying mechanisms remain elusive. Here we uncover an important role of 53BP1 in suppressing BIR after end resection at double strand breaks (DSBs), distinct from its end protection activity, providing insight into the mechanisms governing BIR regulation and DSB repair pathway selection. We demonstrate that loss of 53BP1 induces BIR-like hyperrecombination, in a manner dependent on Polα-primase-mediated end fill-in DNA synthesis on single-stranded DNA (ssDNA) overhangs at DSBs, leading to PCNA ubiquitination and PIF1 recruitment to activate BIR.