Standard: Human gastric organoids.

Organoid technology provides a transformative approach to understand human physiology and pathology, offering valuable insights for scientific research and therapeutic development. Human gastric organoids, in particular, have gained significant interest for applications in disease modeling, drug discovery, and studies of tissue regeneration and homeostasis. However, the lack of standardized quality control has limited their extensive clinical applications.

Empirical Comparison and Analysis of Artificial Intelligence-Based Methods for Identifying Phosphorylation Sites of SARS-CoV-2 Infection.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a member of the large coronavirus family with high infectivity and pathogenicity and is the primary pathogen causing the global pandemic of coronavirus disease 2019 (COVID-19). Phosphorylation is a major type of protein post-translational modification that plays an essential role in the process of SARS-CoV-2-host interactions. The precise identification of phosphorylation sites in host cells infected with SARS-CoV-2 will be of great importance to investigate potential antiviral responses and mechanisms and exploit novel targets for therapeutic development.

Identification of de-novo CREBBP gene variants in patients with Rubinstein-Taybi syndrome.

Rubinstein-Taybi syndrome (RSTS) is an autosomal dominant genetic disease characterized by growth retardation, psychomotor retardation, and distinctive facial features. It is primarily caused by mutations in CREBBP or EP300. In this study, we aimed to describe the clinical manifestations and genetic analyses of two cases with RSTS.

Peroxiredoxin 6 maintains mitochondrial homeostasis and promotes tumor progression through ROS/JNK/p38 MAPK signaling pathway in multiple myeloma.

Peroxiredoxin 6 (PRDX6) is one of the Peroxiredoxin family members with only 1-Cys, using glutathione as the electron donor to reduce peroxides in cells. PRDX6 has been frequently studied and its expression was associated with poor prognosis in many tumors. However, the expression of PRDX6 in multiple myeloma (MM) and its relevance with MM remain unclear.

Feature optimization-guided high-precision and real-time metal surface defect detection network.

Existing computer vision-based surface defect detection techniques for metal materials typically encounter issues with defect overlap, significant differences within classes, and similarity between defect samples. These issues compromise feature extraction accuracy and result in missed and false detections. This study proposed a feature optimization-guided high-precision and real-time metal surface defect detection network (FOHR Net) to improve defect feature expressiveness.

Understanding the influence of plant genetic factors on rhizosphere microbiome assembly in .

Introduction: Functional rhizosphere microbiomes (FRM) are critical for plant health and yield. However, the ecological succession of FRM and their links to plant genetic factors across the life cycle of perennial plants remain poorly understood.

Methods: This study profiled FRM, including plant-beneficial bacteria (PBB) and fungal plant pathogens (FPP), across different developmental stages of .

Treatment for peripheral nerve injury: a protocol for a systematic review and Bayesian network meta-analysis.

Introduction: Available therapies for peripheral nerve injury (PNI) include surgical and non-surgical treatments. Surgical treatment includes neurorrhaphy, grafting (allografts and autografts) and tissue-engineered grafting (artificial nerve guide conduits), while non-surgical treatment methods include electrical stimulation, magnetic stimulation, laser phototherapy and administration of nerve growth factors. However, the treatments currently available to best manage the different PNI manifestations remain undetermined.

Standard: Human gastric cancer organoids.

Gastric cancer is one of the most common malignancies with poor prognosis. The use of organoids to simulate gastric cancer has rapidly developed over the past several years. Patient-derived gastric cancer organoids serve as in vitro models that closely mimics donor characteristics, offering new opportunities for both basic and applied research.

The global distribution and diversity of wild-bird-associated pathogens: An integrated data analysis and modeling study.

Background: Wild birds are significant vectors in global pathogen transmission, but the diversity and spatial distribution of the pathogens detected in them remain unclear. Understanding the transmission dynamics and hotspots of wild-bird-associated pathogens (WBAPs) is crucial for early disease prevention.

Methods: We compiled an up-to-date dataset encompassing all WBAPs by conducting an extensive search of publications from 1959 to 2022, mapped their diversity and global distribution, and utilized three machine learning algorithms to predict geospatial hotspots where zoonotic and emerging WBAPs were prevalent.

Programmable DNA Reactions for Advanced Fluorescence Microscopy in Bioimaging.

Biological organisms are composed of billions of molecules organized across various length scales. Direct visualization of these biomolecules in situ enables the retrieval of vast molecular information, including their location, species, and quantities, which is essential for understanding biological processes. The programmability of DNA interactions has made DNA-based reactions a major driving force in extending the limits of fluorescence microscopy, allowing for the study of biological complexity at different scales.

Molecular Conjugated-Polymer Electrode Enables Rapid Proton Conduction for Electrosynthesis of Ammonia from Nitrate.

Electrosynthesis of ammonia (NH) from nitrate (NO ) using renewable energy holds promise as a supplementary alternative to the Haber-Bosch process for NH production. Most research focuses on tuning the catalytic activity of metal catalysts by modification of the catalyst structures. However, the electrode supports which could influence the catalytic activity have not been well-explored.

Exploring the Clinical Signatures of Cervical Dysplasia Patients and Their Association With Vaginal Microbiota.

Aims: The vaginal microbiota plays a crucial role in women's health, and an imbalanced vaginal microbiota is linked to various diseases, including human papillomavirus (HPV) infection. However, most available data comes from Western countries and primarily focuses on HPV infection, with only a few studies considering detailed clinical factors to explore the relationship between vaginal microbiota and the development of cervical cancer, especially in China.

Materials And Methods: Our study involved 266 women, including individuals at all stages of cervical dysplasia, and healthy controls with and without HPV infection.

Density-wave-like gap evolution in LaNiO under high pressure revealed by ultrafast optical spectroscopy.

Density wave (DW) order is believed to be correlated with superconductivity in the recently discovered high-temperature superconductor LaNiO. However, experimental investigations of its evolution under high pressure are still lacking. Here, we explore the quasiparticle dynamics in bilayer nickelate LaNiO single crystals using ultrafast optical pump-probe spectroscopy under high pressures up to 34.

Comprehensive Analysis of RNA Methylation-Regulated Gene Signature and Immune Infiltration in Ischemia/Reperfusion-Induced Acute Kidney Injury.

Introduction: The morbidity and mortality of acute kidney injury (AKI) are increasing. Epigenetic regulation and immune cell infiltration are thought to be involved in AKI. However, the relationship between epigenetic regulation and immune cell infiltration in AKI has not been elucidated.

Cross-sectional survey of gender differences in gross motor skills among preschool children in Jinhua City, China.

Background: While gender differences in ball skills are widely recognized, the differences in locomotor skills remain unclear. This study aims to explore these gender differences among preschool children in Jinhua City, China, and to examine the influence of evolutionary factors and local cultural activities on these skills.

Methods: A cluster random sampling method was employed to select 777 preschool children aged 5.

Successful Live Birth Outcome in A Patient with Empty Follicle Syndrome: A Case Report and Literature Review.

Here, we report on a rare case of a successful live birth in a patient with empty follicle syndrome. A 35-year-old woman with ovulatory disorder and a 4-year history of primary infertility conducted in vitro fertilization-embryo transfer (IVF-ET) treatment in our hospital. The patient experienced six controlled ovarian stimulation cycles.

Precision-based causal inference modulates audiovisual temporal recalibration.

Cross-modal temporal recalibration guarantees stable temporal perception across ever-changing environments. Yet, the mechanisms of cross-modal temporal recalibration remain unknown. Here, we conducted an experiment to measure how participants' temporal perception was affected by exposure to audiovisual stimuli with consistent temporal delays.

Room-Temperature, Flexible Formaldehyde Gas Sensors Using Titanium-Incorporated 1T/2H MoS.

The development of room-temperature (RT) formaldehyde sensors is significant for indoor air quality monitoring. In this contribution, titanium (Ti)-incorporated 1T/2H molybdenum disulfide (MoS) phase heterostructures were prepared via a facile hydrothermal method. Compared with 1T/2H MoS, the as-prepared 1T/2H MoTiS nanosheets showed a boosted RT formaldehyde sensing performance, which was attributed to the enhanced gas adsorption and charge transfer processes induced by Ti incorporation and could be regulated by tuning the Mo/Ti ratio in MoTiS.

Energy Consumption Prediction of Injection Molding Process Based on Rolling Learning Informer Model.

Accurate energy consumption prediction in the injection molding process is crucial for optimizing energy efficiency in polymer processing. Traditional parameter optimization methods face challenges in achieving optimal energy prediction due to complex energy transmission. In this study, a data-driven approach based on the Rolling Learning Informer model is proposed to enhance the accuracy and adaptability of energy consumption forecasting.

Ultrafast dynamics evidence of strong coupling superconductivity in LaH.

Recently, tremendous research interest has been aroused in clathrate superhydrides. However, their microscopic properties, especially the superconducting (SC) gap and electron-phonon coupling (EPC) strength, are largely unexplored experimentally. Here, we investigate the time-resolved ultrafast spectroscopy of a superconductor LaH under an ultrahigh pressure of 165 GPa.