Neural Correlates of Olfactory Working Memory in the Human Brain.

Previous research has revealed that the insula, pallidum, thalamus, hippocampus, middle frontal gyrus, and supplementary motor area are activated during odor memory and that the performance of olfactory working memory is affected by the verbalization of odors. However, the neural mechanisms underlying olfactory working memory and the role of verbalization in olfactory working memory are not fully understood. Twenty-nine participants were enrolled in a study to complete olfactory and visual n-back tasks using high- and low-verbalizability stimuli while undergoing fMRI imaging.

Increased antimicrobial resistance of isolates obtained from children in Beijing, China, in 2023.

Introduction: (), a common pathogen of community-acquired pneumonia in school-age children and adolescents, can cause epidemics worldwide. In late 2023, the incidence of infection among children reached a high level.

Methods: We investigated the antimicrobial susceptibility of 62 isolates obtained from children with pneumonia in Beijing between 2021 and 2023, and analyzed the correlation of antimicrobial susceptibility with molecular characteristics of isolates and clinical manifestations of patients.

High-alcohol-producing Klebsiella pneumoniae aggravates lung injury by affecting neutrophils and the airway epithelium.

We have previously reported that high-alcohol-producing Klebsiella pneumoniae (HiAlc Kpn) in the gut can cause endo-alcoholic fatty liver disease. Here, we discover that 91.2% of Kpn isolates from pulmonary disease samples also produce excess ethanol, which may be associated with respiratory disease severity.

Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health.

The Conference 2024 provides a platform to promote the development of an innovative scientific research ecosystem for microbiome and One Health. The four key components - Technology, Research (Biology), Academic journals, and Social media - form a synergistic ecosystem. Advanced technologies drive biological research, which generates novel insights that are disseminated through academic journals.

Super-enhancer Activates Master Transcription Factor NR3C1 Expression and Promotes 5-FU Resistance in Gastric Cancer.

Poor response to 5-fluorouracil (5-FU) remains an obstacle in the treatment of gastric cancer (GC). Super enhancers (SEs) are crucial for determining tumor cell survival under drug pressure. SE landscapes related to 5-FU-resistance are mapped to GC using chromatin immunoprecipitation-sequencing (ChIP-Seq).

Biomimetic intelligent nanoplatform with cascade amplification effect for tumor synergy therapy.

Tumor heterogeneity, immune-suppressive microenvironment and the precise killing of tumor cells by drugs are important factors affecting tumor treatment. In this study, we developed environment-responsive drug delivery system (FM@IQ/PST&ZIF-8/DOX) based on ZIF-8 for tumor photothermal/immunotherapy/chemotherapy synergistic therapy. The prepared FM@IQ/PST&ZIF-8/DOX nanoplatfrom not only has highly drug loading capacity for chemotherapeutic drug-doxorubicin, but also erythrocyte membrance modified on their surface can endow their immunity-escaping property and prolong their blood circulation time.

Enrichment of a heterotrophic nitrifying and aerobic denitrifying bacterial consortium: Microbial community succession and nitrogen removal characteristics and mechanisms.

This study cultivated a bacterial consortium (S60) from landfill leachate that exhibited effective heterotrophic nitrification and aerobic denitrification (HN-AD) properties. Under aerobic conditions, the removal of NH-N reached 100 % when the S60 consortium utilised NH-N either as the sole nitrogen source or in combination with NO-N and NO-N. Optimal HN-AD performance was achieved with sodium acetate as a carbon source and a pH of 7.

The relationship between mitochondrial DNA haplotype and its copy number on body weight and morphological traits of Wuliangshan black-bone chickens.

Mitochondria play a pivotal role as carriers of genetic information through their circular DNA molecules. The rapid evolution of the D-loop region in mitochondria makes it an ideal molecular marker for exploring genetic differentiation among individuals within species and populations with close kinship. However, the influence of mtDNA D-loop region haplotypes and mtDNA copy numbers on phenotypic traits, particularly production traits in chickens, remains poorly understood.

Using hierarchical drift diffusion models to elucidate computational mechanisms of reduced reward sensitivity in adolescent major depressive disorder.

Background: Anhedonia-a core symptom of major depressive disorder (MDD)-is closely related to diminished reward sensitivity. Nonetheless, the psychopathological and computational mechanism underlying anhedonia in young patients with MDD remains unclear. Therefore, this study aims to investigate reward sensitivity in adolescents and young adults with MDD using computational modelling.

Not the Models You Are Looking For: Traditional ML Outperforms LLMs in Clinical Prediction Tasks.

Objectives: To determine the extent to which current Large Language Models (LLMs) can serve as substitutes for traditional machine learning (ML) as clinical predictors using data from electronic health records (EHRs), we investigated various factors that can impact their adoption, including overall performance, calibration, fairness, and resilience to privacy protections that reduce data fidelity.

Materials And Methods: We evaluated GPT-3.5, GPT-4, and ML (as gradient-boosting trees) on clinical prediction tasks in EHR data from Vanderbilt University Medical Center and MIMIC IV.

Association Between Patient Portal Engagement and Weight Loss Outcomes in Patients After Bariatric Surgery: Longitudinal Observational Study Using Electronic Health Records.

Background: Bariatric surgery is an effective intervention for obesity, but comprehensive postoperative self-management is essential for optimal outcomes. While patient portals are generally seen as beneficial in engaging patients in health management, the link between their use and post-bariatric surgery weight loss remains unclear.

Objective: This study aimed to investigate the association between patient portal engagement and postoperative BMI reduction among patients after bariatric surgery.

MusicARLtrans Net: a multimodal agent interactive music education system driven via reinforcement learning.

Introduction: In recent years, with the rapid development of artificial intelligence technology, the field of music education has begun to explore new teaching models. Traditional music education research methods have primarily focused on single-modal studies such as note recognition and instrument performance techniques, often overlooking the importance of multimodal data integration and interactive teaching. Existing methods often struggle with handling multimodal data effectively, unable to fully utilize visual, auditory, and textual information for comprehensive analysis, which limits the effectiveness of teaching.

Phenotypic Diversity Analysis in the Sect. ( L.) Population, an Endemic Taxon in China.

Sect. Chang belongs to the genus , which is an endemic group in China and has high research value. However, the phenotypic patterns of this taxon are complex and diverse, and the phenotypic variation in key traits is still unclear.

Exacerbated ischemic brain damage in type 2 diabetes via methylglyoxal-mediated miR-148a-3p decline.

Background: Although microvascular dysfunction is a widespread phenomenon in type 2 diabetes (T2D) and is recognized as a main cause of T2D-aggravated ischemic stroke injury, the underlying mechanisms by which T2D-mediated exacerbation of cerebral damage after ischemic stroke is still largely uncharacterized. Here, we found that methylglyoxal-mediated miR-148a-3p decline can trigger blood-brain barrier dysfunction, thereby exacerbating cerebrovascular injury in diabetic stroke.

Methods: Using T2D models generated with streptozotocin plus a high-fat diet or db/db mice, and then inducing focal ischemic stroke through middle cerebral artery occlusion and reperfusion (MCAO/R), we established a diabetic stroke mouse model.

Extended One-Way Waveguide States of Large-Area Propagation in Gyromagnetic Photonic Crystals.

We propose extended one-way waveguide states of large-area propagation in a photonic crystal waveguide consisting of two honeycomb gyromagnetic photonic crystals with opposite external magnetic fields. When the width of the waveguide is small enough, the edge states along both boundaries of the waveguide couple with each other strongly and thus create the so-called extended one-way waveguide states. Of note, this structure supports both even and odd extended states, which can be excited under different excitation conditions.

CRISPR/dCas9-based hotspot self-assembling SERS biosensor integrated with a smartphone for simultaneous, ultrasensitive and robust detection of multiple pathogens.

Accurate detection of multiple pathogens in the early stages of infection is critical for guiding treatment and saving patients' lives, but current methods are still challenged by low sensitivity, poor robustness and long turnaround times. Here, we report a CRISPR/dCas9-based hotspot self-assembling surface-enhanced Raman scattering (SERS) biosensor (called dCasSERS) and its integration with a smartphone to address these challenges. In this design, bacterial DNA was pre-amplified by loop-mediated isothermal amplification (LAMP), and the repeat sequences of the amplicons were recognized by CRISPR/dCas9, providing abundant sites for the assembly of gold nanoparticles (AuNPs) and forming numerous hotspots for SERS analysis.

Polysaccharides from Cordyceps cicadae Ameliorate Reproductive Impairments in Male Mouse through the Hypothalamic-Pituitary-Testicular Axis.

Scope: Cordyceps cicadae polysaccharides have received attention due to their potential in treating hyperglycemia and enhancing renal function. The beneficial effect of the purified C. cicadae polysaccharides fraction (CCP-1) on the reproductive impairments and spermatogenesis dysfunction of immunocompromised mice is unavailable and is studied herein.

Artificial intelligence efficiently predicts gastric lesions, infection and lymph node metastasis upon endoscopic images.

Objective: Medical images have been increased rapidly in digital medicine era, presenting an opportunity for the intervention of artificial intelligence (AI). In order to explore the value of convolutional neural network (CNN) algorithms in endoscopic images, we developed an AI-assisted comprehensive analysis system for endoscopic images and explored its performance in clinical real scenarios.

Methods: A total of 6,270 white light endoscopic images from 516 cases were used to train 14 different CNN models.

Microstructural Evaluation and Linkage to the Engineering Properties of Metal-Ion-Contaminated Clay.

The rapid progress of urbanization and industrialization has led to the accumulation of large amounts of metal ions in the environment. These metal ions are adsorbed onto the negatively charged surfaces of clay particles, altering the total surface charge, double-layer thickness, and chemical bonds between the particles, which in turn affects the interactions between them. This causes changes in the microstructure, such as particle rearrangement and pore morphology adjustments, ultimately altering the mechanical behavior of the soil and reducing its stability.

Endogenous phosphorus release from plateau lakes responds significantly to temperature variability over the last 50 years.

The ecological environment of plateau lakes is very sensitive to temperature changes. Higher temperatures accelerate the cycling processes between lake sediments and water nutrients. Quantitatively investigating the influence mechanism of regional climate change and sediment phosphorus release over a long time series is difficult in revealing the causes of eutrophication in plateau lakes.

Dust event identification and characterization with one-year online observations in Beijing.

Dust storms have a profound impact on air quality, atmospheric chemistry, and human well-being by carrying vast amounts of particles over distances of thousands of kilometers. However, the overall characteristics of these dust events and their influence on secondary pollution in the northern China region are not yet well understood, due to a lack of long-term, comprehensive observations and objective identification techniques. Based on principal component analysis combined with high-time-resolution observations of particulate matter components, here we developed a robust method to identify dust storm events and identified 14 dust events in Beijing in 2019.