Improving intelligent perception and decision optimization of pedestrian crossing scenarios in autonomous driving environments through large visual language models.

This study leverages large Visual Language Models (VLM) to develop an intelligent pedestrian crossing scenario system within autonomous driving environments. By establishing standardized checklists and prompts, the system minimizes the risks of misjudgment and omission through multimodal data processing. It offers data-driven decision-making support, presenting an innovative approach to integrating autonomous driving technology with intelligent transportation systems.

RefSAM: Efficiently adapting segmenting anything model for referring video object segmentation.

The Segment Anything Model (SAM) has gained significant attention for its impressive performance in image segmentation. However, it lacks proficiency in referring video object segmentation (RVOS) due to the need for precise user-interactive prompts and a limited understanding of different modalities, such as language and vision. This paper presents the RefSAM model, which explores the potential of SAM for RVOS by incorporating multi-view information from diverse modalities and successive frames at different timestamps in an online manner.

Prognostic nutritional index as a potential predictor of prognosis in patients with sepsis: a retrospective cohort study.

Background: Sepsis patients often have immune dysfunction and malnutrition, which is a high-risk disease for death in critically ill patients. Although various biomarkers can predict the prognosis of sepsis patients, they are cumbersome to implement clinically. This study evaluates the prognostic potential of the Prognostic Nutritional Index (PNI) to fill this gap.

Local non-Hermitian Hamiltonian formalism for dissipative fermionic systems and loss-induced population increase in Fermi superfluids.

We examine a standard scheme to obtain the non-Hermitian Hamiltonian (NHH) from the Lindblad master equation by neglecting its jump term, and propose an alternative approach to address its limitations. The NHH obtained by the conventional scheme fails to provide a good approximation for fermionic many-body systems, even on short timescales. To resolve this issue, we present a framework called the local NHH formalism, which describes the loss process in each individual mode locally.

Marine polysaccharides hydrogel with encapsulated mesalazine for the treatment of ulcerative colitis: Integrative effects on inflammation, microbiota, and mucosal repair.

Ulcerative colitis is a chronic non-specific inflammatory disease of the intestine that significantly impacts patient quality of life. This study introduces a OF/CC/SM hydrogel containing oxidized fucoidan (OF), carboxymethyl chitosan (CC), and silk sericin-stabilized mesalazine (SM), designed for rectal administration to target mesalazine delivery specifically to the colon. The OF/CC/SM hydrogel demonstrated good biocompatibility (cell compatibility > 99 %), injectability, and adhesion strength, ensuring effective mesalazine retention and release.

Efficacy of digital therapeutics for perioperative management in patients with lung cancer: a randomized controlled trial.

Background: Perioperative management and lung function recovery are vital for lung cancer patients. We conducted an open-label, single-center, noninferiority, randomized controlled trial in China to evaluate the efficacy of digital therapeutic (DTx)-assisted management vs. multidisciplinary management (MM) in the perioperative management of patients with lung cancer.

Exploring Benefits for Tibetan Cleft Lip and Palate Recipient Families From the Social Perspective of Healthcare Linkage.

Objectives: To understand the psychological characteristics and actual sense of benefit of children with cleft lip and palate (CLP) and their caregivers who participated in social welfare medical activities in Tibet, and to promote the humanistic care and quality of medical services provided by healthcare workers in conjunction with social forces.

Design: Qualitative research through interviews and group discussions.

Sample: Interviews with 13 participants in the medical activities for Tibet.

A machine learning based algorithm accurately stages liver disease by quantification of arteries.

A major histologic feature of cirrhosis is the loss of liver architecture with collapse of tissue and vascular changes per unit. We developed qVessel to quantify the arterial density (AD) in liver biopsies with chronic disease of varied etiology and stage. 46 needle liver biopsy samples with chronic hepatitis B (CHB), 48 with primary biliary cholangitis (PBC) and 43 with metabolic dysfunction-associated steatotic liver disease (MASLD) were collected at the Shuguang Hospital.

Hepatic Steatosis Analysis in Metabolic Dysfunction-Associated Steatotic Liver Disease Based on Artificial Intelligence.

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by the accumulation of fat in the liver, excluding excessive alcohol consumption and other known causes of liver injury. Animal models are often used to explore different pathogenic mechanisms and therapeutic targets of MASLD. The aim of this study is to apply an artificial intelligence (AI) system based on second-harmonic generation (SHG)/two-photon-excited fluorescence (TPEF) technology to automatically assess the dynamic patterns of hepatic steatosis in MASLD mouse models.

Analysis of carbon reduction potential from typical municipal solid waste incineration plants under MSW classification.

The disposal of municipal solid waste (MSW) is a significant source of greenhouse gas (GHG) emissions. As incineration becomes the primary method of MSW disposal in China, MSW incineration (MSWI) plants are expected to play a crucial role in mitigating GHG emissions in the waste sector. This study estimated the quarterly GHG emissions from two representative MSWI plants in Qingdao using a life-cycle assessment (LCA) approach.

Manipulating the symmetry of photon-dressed electronic states.

Strong light-matter interaction provides opportunities for tailoring the physical properties of quantum materials on the ultrafast timescale by forming photon-dressed electronic states, i.e., Floquet-Bloch states.

Drug loaded marine polysaccharides-based hydrogel dressings for treating skin burns.

Marine polysaccharide-based biomaterials possess a range of excellent functions and properties, such as antiviral, antioxidant, immune regulation, and promoting cell migration, and are widely used in modern medicine. In this study, a marine polysaccharide-based composite hydrogel was synthesized using carboxymethyl chitosan and oxidized fucoidan as matrix, and loads therapeutic drugs for the treatment of burn wounds infected with bacteria. The composite hydrogels can slowly release drugs at the wound site, providing a long-lasting therapeutic effect including antibacterial, antioxidant, and analgesic, in this way to facilitate the restoring of infected burn wounds by inhibiting bacterial infections, promoting cell migration, facilitating collagen regeneration, and restoring the abnormal alteration of factors such as IL-1β and CD86.

Enhanced antifouling and anti-swarming properties poly (sulfobetaine methacrylate-co-2-hydroxy-3-phenoxypropyl acrylate) hydrogel coatings for urinary catheters.

Catheter-associated urinary tract infection (CAUTI) remains an unsolved challenge to date, particularly with the emergence and rapid spread of antimicrobial-resistant bacterial pathogens. Despite extensive research, a catheter coating that can offer intrinsic resistance to host protein deposition, bacterial biofilm formation, and swarming is still urgently required. Zwitterionic hydrogel coatings due to their superior lubricity and antifouling properties represent a promising candidate, but their weak mechanical stability in water and poor resistance to bacterial swarming migration limit their application in urinary catheters for infection control.

First Clarification of the Mechanism of Action of the Apple Glycosyltransferase MdUGT91AJ2 Involved in the Detoxification Metabolism of the Triketone Herbicide Sulcotrione.

Sulcotrione is a member of triketone herbicides, a class of HPPD (4-hydroxyphenylpyruvate dioxygenase) inhibitors with broad-spectrum herbicidal activity. Modifications of glycosylation mediated by glycosyltransferases (GT) are involved in plant detoxification. In this study, we analyzed chip data published online and found that eight glycosyltransferases from group A of the apple glycosyltransferase family 1 may be involved in the metabolic mechanism of detoxification of triketone herbicides.

NTCE-KD: Non-Target-Class-Enhanced Knowledge Distillation.

Most logit-based knowledge distillation methods transfer soft labels from the teacher model to the student model via Kullback-Leibler divergence based on softmax, an exponential normalization function. However, this exponential nature of softmax tends to prioritize the largest class (target class) while neglecting smaller ones (non-target classes), leading to an oversight of the non-target classes's significance. To address this issue, we propose Non-Target-Class-Enhanced Knowledge Distillation (NTCE-KD) to amplify the role of non-target classes both in terms of magnitude and diversity.

Impact of treatment interval between neoadjuvant immunochemotherapy and surgery in lung squamous cell carcinoma.

Objective: The optimal timing for surgery following neoadjuvant immunochemotherapy for lung squamous cell carcinoma appears to be a topic of limited data. Many clinical studies lack stringent guidelines regarding this timing. The objective of this study is to explore the effect of the interval between neoadjuvant immunochemotherapy and surgery on survival outcomes in patients with lung squamous cell carcinoma.

A Pathologically Friendly Strategy for Determining the Organ-specific Spatial Tumor Microenvironment Topology in Lung Adenocarcinoma Through the Integration of snRandom-seq and Imaging Mass Cytometry.

Heterogeneous organ-specific responses to immunotherapy exist in lung cancer. Dissecting tumor microenvironment (TME) can provide new insights into the mechanisms of divergent responses, the process of which remains poor, partly due to the challenges associated with single-cell profiling using formalin-fixed paraffin-embedded (FFPE) materials. In this study, single-cell nuclei RNA sequencing and imaging mass cytometry (IMC) are used to dissect organ-specific cellular and spatial TME based on FFPE samples from paired primary lung adenocarcinoma (LUAD) and metastases.

A survival nomogram model for patients with resectable non-small cell lung cancer and lymph node metastasis (N1 or N2) based on the Surveillance, Epidemiology, and End Results Database and single-center data.

Background: The ability to predict survival in patients with lymph node metastasis has long been elusive. After surgery, the basis for decision-making on the combination treatment of patients is not clear. The purpose of this study was thus to build a survival nomogram model to effectively predict the overall survival (OS) of patients with non-small cell lung cancer (NSCLC) and lymph node metastasis.

JCAD deficiency attenuates activation of hepatic stellate cells and cholestatic fibrosis.

Background/aims: Cholestatic liver diseases including primary biliary cholangitis (PBC) are associated with active hepatic fibrogenesis, which ultimately progresses to cirrhosis. Activated hepatic stellate cells (HSCs) are the main fibrogenic effectors in response to cholangiocyte damage. JCAD regulates cell proliferation and malignant transformation in nonalcoholic steatoheaptitis-associated hepatocellular carcinoma (NASH-HCC).

Comparison of Superhydrophilic, Liquid-Like, Liquid-Infused, and Superhydrophobic Surfaces in Preventing Catheter-Associated Urinary Tract Infection and Encrustation.

Over the past decade, superhydrophilic zwitterionic surfaces, slippery liquid-infused porous surfaces, covalently attached liquid-like surfaces, and superhydrophobic surfaces have emerged as the most promising strategies to prevent biofouling on biomedical devices. Despite working through different mechanisms, they have demonstrated superior efficacy in preventing the adhesion of biomolecules (e.g.

Trim21 Regulates the Postnatal Development and Thermogenesis of Brown Adipose Tissue.

Brown adipose tissue undergoes rapid postnatal development to mature and plays a crucial role in thermoregulation and energy expenditure, which protects against cold and obesity. Herein, it is shown that the expression of Trim21 mRNA level of interscapular brown adipose tissue elevates after birth, and peaks at P14 (postnatal day 14). Trim21 depletion severely impairs the maturation of interscapular brown adipose tissue, decreases the expression of a series of thermogenic genes, and reduces energy expenditure.