A sparse and wide neural network model for DNA sequences.

Accurate modeling of DNA sequences requires capturing distant semantic relationships between the nucleotide acid bases. Most existing deep neural network models face two challenges: (1) they are limited to short DNA fragments and cannot capture long-range interactions, and (2) they require many supervised labels, which is often expensive in practice. We propose a new neural network model called SwanDNA to address the above challenges.

Analysis of risk factors and establishment of prediction model for lower extremity deep vein thrombosis after lumbar fusion surgery.

Background: Lower extremity deep vein thrombosis (LEDVT) is a common complication after orthopedic surgery. Currently, a reliable assessment tool is lacking to evaluate the risk of postoperative LEDVT in patients undergoing lumbar fusion surgery. This study aims to explore the risk factors for LEDVT formation after lumbar fusion surgery and establish a predictive model for it.

Infrahyoid Myocutaneous Flaps with Common Wall of Hypopharyngeal and Esophageal Serosas for Voice Rehabilitation After Total Laryngectomy.

Importance: Patients who undergo total laryngectomy lose the voice function permanently. It is important to reconstruct the voice function of the patients after total laryngectomy.

Objective: To explore a novel method for voice rehabilitation by suturing infrahyoid myocutaneous flaps to the hypopharyngeal and esophageal serosas after total laryngectomy and investigate its clinical efficacy.

Challenges of quaternary ammonium antimicrobial agents: Mechanisms, resistance, persistence and impacts on the microecology.

Quaternary ammonium compounds (QACs) served as broad spectrum antimicrobial agents are widely applied for surface disinfection, skin and mucous disinfection, and mouthwash. The daily applications of QACs have significantly increased, especially during the COVID-19 pandemic. However, the environmental residues of QACs have demonstrated harmful impacts on the environment, leading to an increase in environmental contamination, resistant microbes and disruption of microecology.

Cis-Regulation of an mA Eraser by an Insertion Variant Associated with Survival of Patients With Non-Small Cell Lung Carcinoma.

N6-methyladenosine (mA) serves as one of the crucial RNA modifications for genes involved in cancer progression. Here, 7273 expression quantitative trait loci potentially regulating 30 m6A pathway genes are identified from the GTEx database, with 69 single nucleotide polymorphisms significantly associated with survival of non-small cell lung carcinoma (NSCLC) patients (n = 1523) from the ongoing genome-wide association study after false positive probability tests. Notably, the rs151198415 locus, situated in a potential enhancer region, demonstrated a prolonged survival effect with the C>CCACG insertion, which is validated in an independent prospective cohort (n = 237), yielding a pooled hazard ratio of 0.

Barriers and facilitators in nurse prescribing practices: a protocol for qualitative meta-synthesis from nurses' perspectives.

Introduction: With the development of the medical system and the diversification of patient needs, nurse practitioners (NPs) play an increasingly important role in medical practice, assuming more responsibilities and powers, including the right to prescribe. However, in the process of exercising the right to prescribe, NPs may face various obstacles, and there are also some promoting factors. Therefore, this study aims to deeply explore the obstacles and promoting factors in the prescription process of NPs through a qualitative meta-analysis and comprehensive method, so as to provide a basis for improving the prescription practice of NPs, improving nursing quality and patient satisfaction.

Self-distillation improves self-supervised learning for DNA sequence inference.

Self-supervised Learning (SSL) has been recognized as a method to enhance prediction accuracy in various downstream tasks. However, its efficacy for DNA sequences remains somewhat constrained. This limitation stems primarily from the fact that most existing SSL approaches in genomics focus on masked language modeling of individual sequences, neglecting the crucial aspect of encoding statistics across multiple sequences.

Dysregulation of Iron Homeostasis Mediated by FTH Increases Ferroptosis Sensitivity in TP53-Mutant Glioblastoma.

Iron metabolism is a critical factor in tumorigenesis and development. Although TP53 mutations are prevalent in glioblastoma (GBM), the mechanisms by which TP53 regulates iron metabolism remain elusive. We reveal an imbalance iron homeostasis in GBM via TCGA database analysis.

Enhancing the Resilience of Bereaved Parents: Practical Experiences and Needs Perceived by Healthcare Professionals.

Aims: To explore the practical experiences and perceived needs of healthcare professionals in fostering resilience among bereaved parents.

Design: A qualitative descriptive study was conducted.

Methods: Twenty-seven healthcare professionals were recruited from the Paediatric Palliative Care Special Group of the Paediatrics Society of the Chinese Medical Association.

The influence of microorganisms on bone homeostasis in apical periodontitis.

Objective: This review aims to provide an overview of the role of microorganisms in the onset and progression of periapical diseases, particularly regarding their effects on bone homeostasis.

Design: The search for this narrative review was conducted in PubMed, Web of Science and Google Scholar using relevant keywords, including checking reference lists of journal articles by hand searching.

Results: Microorganisms directly promote osteoclasts through pathways such as nuclear factor-κB (NF-κB) and extracellular regulated protein kinases (ERK), while inhibiting osteoblasts function by interfering with the wingless-related integration site (Wnt)/β-catenin pathway in the periapical area.

Exploring the causal link between serum amino acids and Parkinson's disease: a Mendelian randomization approach.

This study aimed to explore the causal relationships between multiple blood amino acids (BAAs) and the Parkinson's disease (PD). We downloaded genome-wide association study (GWAS) data for BAAs and PD from the OpenGWAS database, screened single nucleotide polymorphisms (SNPs) from the data, and evaluated the causal relationship between BAA levels and PD using the inverse variance weighted (IVW) method. The sensitivity analysis was also conducted.

DNA methylation analysis of peripheral blood mononuclear cells in diagnosing breast cancer from benign breast lesions.

Background: With the increasing incidence of breast lesions, the differential diagnosis between benign lesions and breast cancer (BCa) has become a big challenge. Host peripheral blood mononuclear cells (PBMCs) could undergo changes in DNA methylation upon disease progression. However, the clinical value of DNA methylation of PBMCs in differentiating benign lesions and BCa is still unclear.

5.5 GHz film bulk acoustic wave filters using thin film transfer process for WLAN applications.

Wireless local area network (WLAN) has gained widespread application as a convenient network access method, demanding higher network efficiency, stability, and responsiveness. High-performance filters are crucial components to meet these needs. Film bulk acoustic resonators (FBARs) are ideal for constructing these filters due to their high-quality factor (Q) and low loss.

MoAGL-SA: a multi-omics adaptive integration method with graph learning and self attention for cancer subtype classification.

Background: The integration of multi-omics data through deep learning has greatly improved cancer subtype classification, particularly in feature learning and multi-omics data integration. However, key challenges remain in embedding sample structure information into the feature space and designing flexible integration strategies.

Results: We propose MoAGL-SA, an adaptive multi-omics integration method based on graph learning and self-attention, to address these challenges.

Machine learning identifies immune-based biomarkers that predict efficacy of anti-angiogenesis-based therapies in advanced lung cancer.

Background: The anti-angiogenic drugs showed remarkable efficacy in the treatment of lung cancer. Nonetheless, the potential roles of the intra-tumoral immune cell abundances and peripheral blood immunological features in prognosis prediction of patients with advanced lung cancer receiving anti-angiogenesis-based therapies remain unknown. In this study, we aimed to develop an immune-based model for early identification of patients with advanced lung cancer who would benefit from anti-angiogenesis-based therapies.

Characteristic alterations of gut microbiota and serum metabolites in patients with chronic tinnitus: a multi-omics analysis.

Chronic tinnitus is a central nervous system disorder. Currently, the effects of gut microbiota on tinnitus remain unexplored. To explore the connection between gut microbiota and tinnitus, we conducted 16S rRNA sequencing of fecal microbiota and serum metabolomic analysis in a cohort of 70 patients with tinnitus and 30 healthy volunteers.

Safety and feasibility of neoadjuvant chemoradiotherapy combined with immunotherapy for locally advanced esophageal squamous cell carcinoma: a prospective single-group phase II clinical study.

Background: Neoadjuvant chemoradiotherapy (nCRT) combined with surgery is still the standard treatment mode for esophageal cancer (EC), but the rate of distant metastasis and local recurrence of this triple mode is still high. Distant metastasis is the main recurrence pattern. Therefore, there is an urgent need to explore a new treatment model to improve pathologic complete response (pCR) and patient survival.

The wnt/pyruvate kinase, muscle axis plays an essential role in the differentiation of mouse neuroblastoma cells.

Neuronal differentiation and neurite growth are essential processes in nervous system development and are regulated by several factors. Although all-trans retinoic acid (ATRA) has been shown to mediate the differentiation of mouse neuroblastoma cells via the activation of several pathways, including Wnt/β-catenin signaling, the mechanism remains unclear. The pyruvate kinase, muscle (PKM) plays an important role in the glycolysis of neuroblastoma cells and regulates the Wnt signaling pathway in various cancer cells.