Identification of Neonatal Factors Predicting Pre-Discharge Mortality in Extremely Preterm or Extremely Low Birth Weight Infants: A Historical Cohort Study.

Background/objectives: This study identified early neonatal factors predicting pre-discharge mortality among extremely preterm infants (EPIs) or extremely low birth weight infants (ELBWIs) in China, where data are scarce.

Methods: We conducted a retrospective analysis of 211 (92 deaths) neonates born <28 weeks of gestation or with a birth weight <1000 g, admitted to University Affiliated Hospitals from 2013 to 2024 in Guangzhou, China. Data on 26 neonatal factors before the first 24 h of life and pre-discharge mortality were collected.

Intrauterine Adhesion-Induced Septated Amniotic Cavity: Ultrasonographic Findings in Second and Third Trimesters.

A 40-year-old woman who had obstetric history of one vaginal delivery and two surgical abortions to terminate early pregnancy received regular prenatal care without any systemic maternal diseases. During the detailed second trimester ultrasound, a homogenous adhesion-induced pseudocystic lesion of 8.6 × 7.

High-Performance Boiling Surfaces Enabled by an Electrode-Transpose All-Electrochemical Strategy.

High-performance boiling surfaces are in great demand for efficient cooling of high-heat-flux devices. Although various micro-/nano-structured surfaces have been engineered toward higher surface wettability and wickability for enhanced boiling, the design and fabrication of surface structures for realizing both high critical heat flux (CHF) and high heat transfer coefficient (HTC) remain a key challenge. Here, a novel "electrode-transpose" all-electrochemical strategy is proposed to create superhydrophilic microporous surfaces with higher dendrites and larger pores by simply adding an electrochemical etching step prior to the multiple electrochemical deposition steps.

Association of the EAT-Lancet diet, serial measures of serum proteome and gut microbiome, and cardiometabolic health: a prospective study of Chinese middle-aged and elderly adults.

Background: The EAT-Lancet diet was reported to be mutually beneficial for the human cardiometabolic system and planetary health. However, mechanistic evidence linking the EAT-Lancet diet and human cardiometabolic health is lacking.

Objectives: We aimed to investigate the role of blood proteins in the association between the EAT-Lancet diet and cardiometabolic health and explore the underlying gut microbiota-blood protein interplay.

Diet-gut microbiome interaction and its impact on host blood glucose homeostasis: a series of nutritional n-of-1 trials.

Background: The interplay between diet and gut microbiome substantially influences host metabolism, but uncertainties remain regarding their relationships tailored for each subject given the huge inter-individual variability. Here we aim to investigate diet-gut microbiome interaction at single-subject resolution and explore its effects on blood glucose homeostasis.

Methods: We conducted a series of nutritional n-of-1 trials (NCT04125602), in which 30 participants were assigned high-carbohydrate (HC) and low-carbohydrate (LC) diets in a randomized sequence across 3 pair of cross-over periods lasting 72 days.

Comprehensive characterization and phylogenetic analysis of the complete plastomes of two ant-orchids, Caularthron bicornutum and Myrmecophila thomsoniana.

Background: Myrmecophytes, characterized by specialized structures like hollow stems that facilitate mutualistic relationships with ants, serve as an important system for studying ant-plant interactions and the adaptation mechanisms. Caularthron and Myrmecophila are exemplary myrmecophytes within Orchidaceae. Previous studies suggested a genetic relationship between these two genera, placing them within Laeliinae (Epidendreae), yet the precise phylogenetic positioning remained uncertain.

A Survey on AI-Driven Mouse Behavior Analysis Applications and Solutions.

The physiological similarities between mice and humans make them vital animal models in biological and medical research. This paper explores the application of artificial intelligence (AI) in analyzing mice behavior, emphasizing AI's potential to identify and classify these behaviors. Traditional methods struggle to capture subtle behavioral features, whereas AI can automatically extract quantitative features from large datasets.

A Nanocluster Colloidal Electrolyte Enables Highly Stable and Reversible Zinc Anodes.

Aqueous zinc-ion batteries represent a favorable technology for stationary energy storage systems owing to their safety, reliability, and cost-effectiveness. However, Zn anodes suffer uncontrollable dendrite formation and harmful side reactions that lead to a short lifespan. Herein, we demonstrate a nanocluster colloidal electrolyte strategy for stabilizing the zinc anodes.

Engineering Densely Packed Ion-Cluster Electrolytes for Wide-Temperature Lithium-Sulfurized Polyacrylonitrile Batteries.

The electrolyte plays an essential role in the advancement of lithium-sulfur batteries (LSBs), as it not only transports the charge carriers but also extensively influences sulfur conversion mechanisms and electrode-electrolyte interphases formed on the electrode surface, thereby directly impacting battery performance. However, the majority of existing electrolytes suffer from incompatibility with either the Li anode or the sulfur cathode. Here, we develop a densely packed ion-cluster electrolyte (DPIE) through the strategic combination of a weakly solvating solvent and an inert diluent, resulting in the self-assembly of abundant compact ion-pair aggregates within its structure.

Mapping the gut microbial structural variations in healthy aging within the Chinese population.

Mapping gut microbial structural variants (SVs) during human aging may provide fundamental knowledge and mechanistic understanding of the gut microbiome's relationship with healthy aging. We characterize gut microbial SVs from 3,230 Chinese participants, identifying key SVs associated with aging, healthy aging, and age-related chronic diseases. Our findings reveal a pattern of copy number loss in aging-related SVs, with 35 core SVs consistently detected.

TRIM11 Prevents Ferroptosis in model of asthma by UBE2N-TAX1BP1 signaling.

Asthma is a complex chronic respiratory inflammatory disease affected by both genetic and environmental factors. Therefore, our study explored the influence of TRIM11 on asthma and its underlying mechanisms. Our research involved patients diagnosed with asthma and healthy volunteers recruited from our hospital.

Optimization of Mechanical Properties during Cold Rolling and Wrap-Forming for Metal Helical Tubes.

The proposed method involves the utilization of a strip roll-forming technique to fulfill the specific requirements for constructing large-scale structures in orbit and space station trusses during extraterrestrial exploration. This involves progressively rolling out a metal strip with an L+V-shaped locking edge through multiple passes of forming rolls featuring different section shapes. The process of helical locking enables the formation of a slender, spiral-shaped tube, which can be utilized for the in-orbit assembly of exceptionally large structures.

ABNet: AI-Empowered Abnormal Action Recognition Method for Laboratory Mouse Behavior.

The automatic recognition and quantitative analysis of abnormal behavior in mice play a crucial role in behavioral observation experiments in neuroscience, pharmacology, and toxicology. Due to the challenging definition of abnormal behavior and difficulty in collecting training samples, directly applying behavior recognition methods to identify abnormal behavior is often infeasible. This paper proposes ABNet, an AI-empowered abnormal action recognition approach for mice.

hnRNPA1 promotes the metastasis and proliferation of gastric cancer cells through WISP2-guided Wnt/β-catenin signaling pathway.

The main cause of gastric cancer (GC)-related death is due to malignant cell unregulated distant metastasis and proliferation. Heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) has been shown to play an important role in carcinogenesis and the development of metastasis in several tumors. However, its downstream regulatory mechanism in GC is not well defined.

A Deep Learning Framework for Evaluating the Over-the-Air Performance of the Antenna in Mobile Terminals.

This study introduces RTEEMF (Real-Time Evaluation Electromagnetic Field)-PhoneAnts, a novel Deep Learning (DL) framework for the efficient evaluation of mobile phone antenna performance, addressing the time-consuming nature of traditional full-wave numerical simulations. The DL model, built on convolutional neural networks, uses the Near-field Electromagnetic Field (NEMF) distribution of a mobile phone antenna in free space to predict the Effective Isotropic Radiated Power (EIRP), Total Radiated Power (TRP), and Specific Absorption Rate (SAR) across various configurations. By converting antenna features and internal mobile phone components into near-field EMF distributions within a Huygens' box, the model simplifies its input.

Design, Synthesis, and Acaricidal Activity of 2,5-Diphenyl-1,3-oxazoline Compounds.

By using a scaffold hopping/ring equivalent and intermediate derivatization strategies, a series of compounds of 2,5-diphenyl-1,3-oxazoline with substituent changes at the 5-phenyl position were prepared, and their acaricidal activity was studied. However, the synthesized 2,5-diphenyl-1,3-oxazolines showed lower activity against mite eggs and larvae compared to the 2,4-diphenyl-1,3-oxazolines with the same substituents. We speculate that there is a significant difference in the spatial extension direction of the substituents between the two skeletons of compounds, resulting in differences in their ability to bind to the potential target chitin synthase 1.

Stability of a stochastic brucellosis model with semi-Markovian switching and diffusion.

To explore the influence of state changes on brucellosis, a stochastic brucellosis model with semi-Markovian switchings and diffusion is proposed in this paper. When there is no switching, we introduce a critical value and obtain the exponential stability in mean square when by using the stochastic Lyapunov function method. Sudden climate changes can drive changes in transmission rate of brucellosis, which can be modelled by a semi-Markov process.

Two-week continuous glucose monitoring-derived metrics and degree of hepatic steatosis: a cross-sectional study among Chinese middle-aged and elderly participants.

Background: Continuous glucose monitoring (CGM) devices provide detailed information on daily glucose control and glycemic variability. Yet limited population-based studies have explored the association between CGM metrics and fatty liver. We aimed to investigate the associations of CGM metrics with the degree of hepatic steatosis.

Nanomaterial-integrated injectable hydrogels for craniofacial bone reconstruction.

The complex anatomy and biology of craniofacial bones pose difficulties in their effective and precise reconstruction. Injectable hydrogels (IHs) with water-swollen networks are emerging as a shape-adaptive alternative for noninvasively rebuilding craniofacial bones. The advent of versatile nanomaterials (NMs) customizes IHs with strengthened mechanical properties and therapeutically favorable performance, presenting excellent contenders over traditional substitutes.

Effect of Wei Qi Booster on immune and anti-oxidative function in aged mice.

This research was conducted to examine the impact of Wei Qi Booster (WQB) on immune parameters and anti-oxidative function in aged mice. Fifty aged mice were randomly assigned to five different groups. Group A was designated as the control group.