Mapping between chain configuration and mechanical properties of poly(L-lactic acid) monofilaments via hydrolysis induction.

Poly(L-lactic acid) (PLLA), as a substrate material, has been widely utilized in the field of biodegradable vascular stents. Prior to implantation, it is particularly crucial for these devices to assess the relationship of the mechanical properties and microstructures during full degradation cycle. Although previous studies have primarily focused on structural parameters such as crystallinity and molecular weight, there are relatively few reports that explore the impact of microstructure on mechanical performance from the perspective of chain configuration during the degradation.

Raw event-based adversarial attacks for Spiking Neural Networks with configurable latencies.

Spiking Neural Networks (SNNs) and data from Dynamic Vision Sensors (DVSs) offer energy-efficient solutions for edge devices with limited battery life. The input latencies of event data to SNNs are critical for energy savings, and reducing these latencies through configurable parameters is essential. However, security concerns, particularly adversarial attacks on SNNs, are increasingly significant.

Who expands the human creative frontier with generative AI: Hive minds or masterminds?

Artists are rapidly integrating generative text-to-image models into their workflows, yet how this affects creative discovery remains unclear. Leveraging large-scale data from an online art platform, we compare artificial intelligence (AI)-assisted creators to matched nonadopters to assess novel idea contributions. Initially, a concentrated subset of AI-assisted creators contributes more novel artifacts in absolute terms through increased output-the productivity effect-although the average rate of contributing novel artifacts decreases because of a dilution effect.

Tissue-specific consequences of tag fusions on protein expression in transgenic mice.

Genetic fusion of protein tags is widely used to study protein functions in vivo. It is well known that tag fusion can cause unwanted changes in protein stability, but whether this is an inherent property of the tagged protein, or can be influenced by the cell and tissue environment, is unclear. Using a series of genome edited mouse models, we show that tag-dependent changes in protein expression can vary across different primary cell and tissue contexts.

Dual effects of bisphosphonates on bone metabolism and implant osseointegration: mechanisms, risks and clinical strategies.

Osseointegration is the fundamental mechanism facilitating the direct bonding between implants and bone tissue, which significantly influences the success and long-term stability of the implant. Bisphosphonates, potent antiresorptive agents, are widely utilized in the treatment of osteoporosis and other bone metabolic disorders due to their capacity to inhibit osteoclast activity. However, their effects on implant osseointegration present a 'double-edged sword.

Learning Compact Discriminant Representation via Low-rank Bilinear Pooling.

In this paper, we explain the mechanism of bilinear pooling as a module of hard sample generation, and find that bilinear pooling significantly expands variances of the first-order vectors when it produces discriminative bilinear features. In conjunction with the extremely high dimensionality of the obtained bilinear features, those variances lead to overfitting in subsequent learning models. To solve this issue, we construct a bi-level optimization problem, where the high-level problem is the supervised classification loss, and the low-level problem is the principal component analysis (PCA).

SOX2 is a dispensable modulator of NUT carcinoma oncogenesis in mouse.

Unlabelled: NUT carcinoma (NC) is a highly aggressive malignancy driven by BRD4::NUTM1 and other NUTM1 fusion oncogenes. BRD4::NUTM1 aberrantly activates transcription factors (TFs) linked to basal progenitor identity, producing poorly differentiated squamous phenotypes. Among these TFs, SOX2 has been proposed as a critical oncogenic driver, but its functional requirement in NC has not been tested in vivo.

Live imaging endogenous transcription factor dynamics reveals mechanisms of epiblast and primitive endoderm fate segregation.

The segregation of the epiblast (EPI) and primitive endoderm (PE) cell types in the preimplantation mouse embryo is not only a crucial decision that sets aside the precursors of the embryo proper from extraembryonic cells, respectively, but also has served as a central model to study a key concept in mammalian development: how much of developmental patterning is predetermined vs. stochastically emergent. Here, we address this question by quantitative live imaging of multiple endogenously tagged transcription factors key to this fate decision and trace their dynamics at a single-cell resolution through the formation of EPI and PE cell fates.

High-throughput plasma/serum proteomics by coupling nanoparticle protein corona-based sample preparation and capillary zone electrophoresis-tandem mass spectrometry.

A high-throughput workflow for bottom-up proteomics (BUP) of human plasma using capillary zone electrophoresis-tandem mass spectrometry (CZE-MS/MS) and nanoparticle protein corona-assisted sample preparation is presented. The streamlined approach enabled the identification and quantification of hundreds of proteins from plasma/serum samples in 3.5 hours from sample to data.

Enhanced Encoding Module of AisNet with Charge Features: An Application to the S2 Data Set.

This research introduces a charge-enhanced encoding module within the AisNet multifeature fusion framework, demonstrating superior force error accuracy and cross-model transferability, and achieving in state-of-the-art performance on the S2 dataset. Compared with the original AisNet, the addition of the Coulomb matrix enables AisNet-C with ternary features to maintain its leading performance in all feature dimensions. Through t-SNE and PCA analysis, long-range Coulomb interaction effectively enhances global environmental resolution, forming a synergistic relationship with other features.

IGF2BP2 binding to CPSF6 facilitates m6A-mediated alternative polyadenylation of PUM2 and promotes malignant progression in ovarian cancer.

Background: N6-methyladenosine (m6A) and alternative polyadenylation (APA) are common posttranscriptional regulatory mechanisms in eukaryotes. However, the m6A-dependent mechanism of APA regulation in ovarian cancer (OC) is still unclear.

Methods: The correlation between m6A and APA was analyzed by using RNA methylation sequencing of OC cells and single-cell sequencing of clinical samples from public databases.

Effects of sedatives on diaphragm activity monitored by ultrasound: a systematic review and meta-analysis.

Background: Current research lacks comprehensive evaluations on the inhibitory effects of sedatives on diaphragm activity under ultrasound monitoring. This meta-analysis aims to launch this problem by systematically analyzing the available evidence.

Methods: The EMBASE, PubMed, and Web of Science databases were searched.

Alteration of immunomodulatory properties of locally applied gingival-derived mesenchymal stem cells by the oral inflammatory environment via Caspase-3/8 in periodontitis.

Objectives: To investigate whether gingival tissue-specific mesenchymal stem cells exhibit relevant phenotypic features in the periodontal inflammatory microenvironment.

Methods: In this study, periodontitis model mice were treated with N-GMSCs or I-GMSCs once per week for 8 weeks, and alveolar bone loss was assessed via micro-CT and hematoxylin and eosin (H&E) staining. Normal gingival tissue-specific mesenchymal stem cells (N-GMSCs) or inflammatory gingival tissue-specific mesenchymal stem cells (I-GMSCs) were isolated in vitro.

Task-related reconfiguration patterns of frontoparietal network during motor imagery.

Motor imagery (MI) is closely associated with the frontoparietal network that includes prefrontal and posterior parietal regions. Studying task-related network reconfiguration after brain shifts from the resting state to the MI task is an important way to understand the brain's response process. However, how the brain modulates functional connectivity of the frontoparietal network when it shifts to MI has not been thoroughly studied.

Autophagy modulation by hADSCs and green light therapy alleviates inflammation and promotes functional recovery after spinal cord injury.

Background: Spinal cord injury (SCI) results in chronic motor deficits and intractable neuropathic pain, driven by neuroinflammation and impaired tissue repair. Current therapies inadequately address these multifaceted challenges. This study investigated the therapeutic effects of human adipose-derived mesenchymal stem cells (hADSCs) transplantation combined with green light (GL) therapy to modulate inflammation, enhance autophagy, and facilitate functional restoration post-SCI.

Gene Polymorphisms Play an Important Role in the Drug Interaction Between Posaconazole and Tacrolimus in Renal Transplant Patients.

Background: Posaconazole (POSA), a second-generation triazole antifungal drug, inhibits CYP3A and P-glycoprotein. Here, the interaction between POSA and tacrolimus (TAC) in patients undergoing early renal transplantation was studied.

Methods: Twenty-two renal transplant recipients who received POSA as antifungal therapy were studied.

Regulatory Role of IGF2BP2 in Intestinal Mucosal Barrier Dysfunction in Ulcerative Colitis.

Background/aims: Ulcerative colitis (UC), an idiopathic and chronic inflammatory disease, primarily targets the mucosal lining of the colon. This research endeavors to reveal the mechanism of insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) and nuclear receptor coactivator-3 (NCOA3) in UC-induced intestinal mucosal barrier dysfunction.

Materials And Methods: Dextran sodium sulfate (DSS) was used for UC mouse modeling, followed by an assessment of the disease activity index, intestinal barrier integrity, and intestinal permeability assessment through FITC-glucan assay.

A commonly used anti-SOX15 antibody fails to demonstrate specificity in mouse embryos.

SOX15 is a broadly conserved transcription factor involved in many critical processes, including mammalian cell fate specification and pluripotency. We investigated the specificity of a commercially available, polyclonal anti-SOX15 antibody advertised as knockout-validated. We generated a new mouse line carrying a null allele of , and then evaluated anti-SOX15 activity in null mouse embryos.

[ exacerbates periodontal inflammation and impairs cognitive function in mice].

Objectives: To investigate the effects of periodontitis induced by (Pn) combined with ligation on cognitive functions in mice.

Methods: Twenty-four C57BL/6J mice were randomly divided into control group, ligation group, and ligation + Pn treatment (P+Pn) group. Experimental periodontitis was induced by silk ligation of the first molars followed by topical application of Pn for 6 weeks.

Dual-upregulation of p53 for self-sensitized cuproptosis via microwave dynamic and NO gas therapy.

Cuproptosis-a novel cell death mechanism-is an innovative strategy for tumor therapy. However, the insufficient efficacy of cuproptosis, primarily owing to the low sensitivity of tumor cells to Cu ions, remains a major challenge. In this study, we design TiCuMOF@PEG@l-Arg@TPP (TCPAT) nanoparticles to facilitate self-sensitized cuproptosis for anti-tumor therapy through the dual upregulation of p53.

DNA Nanoflower-Powered CRISPR/Cas12a Biosensing Platform for Ultrasensitive Protein Detection in Clinical Samples.

Protein markers secreted by various human cells provide crucial insights for the early diagnosis and prognostic assessment of clinical diseases. However, restricted by efficient protein marker signal amplification in real clinical samples with complex compositions, accurate, sensitive, and rapid detection of protein markers remains largely challenging. Herein, a DNA nanoflower (DNF)-powered CRISPR/Cas12a biosensing platform (DNF-CRISPR) is presented that employs the DNF in upstream to amplify input signals for protein markers, while utilizing the CRISPR system in downstream to amplify output signals by trans cleavage.

A Clinical Retrospective Study on the Combined Use of Monocyte-to-Lymphocyte Ratio and Triglyceride-Glucose Index to Predict the Severity of Coronary Artery Disease.

Background: Coronary artery disease (CAD) remains a leading cause of morbidity and mortality. Traditional risk models based on factors like age, hypertension, and lipid levels are limited in individualized prediction, especially for high-risk populations. This study evaluates the independent and combined predictive value of the monocyte-to-lymphocyte ratio (MLR) and triglyceride-glucose (TyG) index for assessing CAD severity.

Generalization Bounds of Deep Neural Networks With τ-Mixing Samples.

Deep neural networks (DNNs) have shown an astonishing ability to unlock the complicated relationships among the inputs and their responses. Along with empirical successes, some approximation analysis of DNNs has also been provided to understand their generalization performance. However, the existing analysis depends heavily on the independently identically distribution (i.