Best Evidence Summary of Home Enteral Tube Feeding Care Management in the Elderly.

Purpose: To evaluate and summarize the best evidence of home enteral tube feeding (HETF) care management in the elderly to provide an evidence-based basis for caregivers to implement care interventions.

Patients And Methods: Evidence on HETF care management in the elderly was retrieved from Chinese and international databases, guidelines, and websites of professional associations, including systematic reviews and expert consensuses, using the keywords of home enteral nutrition, home tube feeding, old, elder, home care, etc. The literature considered in this study was published from April 2019 to April 2024.

Wnt3a Enhances Mesenchymal Stem Cell Engraftment and Differentiation in a Chronic Obstructive Pulmonary Disease Rat Model.

Background: Bone marrow mesenchymal stem cell (BMSC) therapy is a novel approach for treating COPD. However, the difficulty in engraftment and easy clearance of BMSCs in vivo has hindered their clinical application. Hence, exploring effective methods to improve the engraftment and differentiation rates of BMSCs in vivo is urgent.

Research Status and Direction of Chronic Obstructive Pulmonary Disease Complicated with Coronary Heart Disease: A Bibliometric Analysis from 2005 to 2024.

Objective: There is increasing evidence that chronic obstructive pulmonary disease (COPD) is associated with coronary heart disease (CHD). In this study, we provide valuable insights in the field by examining the evolution of the relationship between COPD and CHD over the past 20 years.

Methods: A comprehensive computer search was conducted in the Web of Science (WOS) core dataset, covering literature on COPD combined with CHD from January 1, 2005, to August 20, 2024.

Cross-session SSVEP brainprint recognition using attentive multi-sub-band depth identity embedding learning network.

Brainprint recognition technology, regarded as a promising biometric technology, encounters challenges stemming from the time-varied, low signal-to-noise ratio of brain signals, such as electroencephalogram (EEG). Steady-state visual evoked potentials (SSVEP) exhibit high signal-to-noise ratio and frequency locking, making them a promising paradigm for brainprint recognition. Consequently, the extraction of time-invariant identity information from SSVEP EEG signals is essential.

Sg-snn: a self-organizing spiking neural network based on temporal information.

Neurodynamic observations indicate that the cerebral cortex evolved by self-organizing into functional networks, These networks, or distributed clusters of regions, display various degrees of attention maps based on input. Traditionally, the study of network self-organization relies predominantly on static data, overlooking temporal information in dynamic neuromorphic data. This paper proposes Temporal Self-Organizing (TSO) method for neuromorphic data processing using a spiking neural network.

Insights into the mechanisms, regulation, and therapeutic implications of extracellular matrix stiffness in cancer.

The tumor microenvironment (TME) is critical for cancer initiation, growth, metastasis, and therapeutic resistance. The extracellular matrix (ECM) is a significant tumor component that serves various functions, including mechanical support, TME regulation, and signal molecule generation. The quantity and cross-linking status of ECM components are crucial factors in tumor development, as they determine tissue stiffness and the interaction between stiff TME and cancer cells, resulting in aberrant mechanotransduction, proliferation, migration, invasion, angiogenesis, immune evasion, and treatment resistance.

Human adipose-derived multipotent stromal cells enriched with IL-10 modRNA improve diabetic wound healing: Trigger the macrophage phenotype shift.

Diabetic wounds present a significant challenge in regenerative medicine due to impaired healing, characterized by prolonged inflammation and deficient tissue repair, primarily caused by a skewed pro-inflammatory macrophage phenotype. This study investigates the therapeutic potential of interleukin-10 (IL-10) chemically modified mRNA (modRNA)-enriched human adipose-derived multipotent stromal cells (hADSCs) in a well-established murine model of diabetic wounds. The modRNAs used in this study were chemically modified using N1-methylpseudouridine-5'-triphosphate (m1Ψ) by substituting uridine-5-triphosphate.

Serum Periostin as a Potential Biomarker in the Evaluation of Allergic Rhinitis: A Pilot Study.

Purpose: Although periostin has recently emerged as a new mediator in chronic allergic diseases, particularly in upper airway disease, its significance as a biomarker for allergic rhinitis (AR) is still unclear. Therefore, we aimed to assess the potential of periostin as a novel candidate biomarker for diagnosing and assessing the severity of AR.

Patients And Methods: A total of 40 patients with AR and 22 healthy controls, all aged over 18 years, were recruited for the study.

Deep Learning for Obstructive Sleep Apnea Detection and Severity Assessment: A Multimodal Signals Fusion Multiscale Transformer Model.

Purpose: To develop a deep learning (DL) model for obstructive sleep apnea (OSA) detection and severity assessment and provide a new approach for convenient, economical, and accurate disease detection.

Methods: Considering medical reliability and acquisition simplicity, we used electrocardiogram (ECG) and oxygen saturation (SpO) signals to develop a multimodal signal fusion multiscale Transformer model for OSA detection and severity assessment. The proposed model comprises signal preprocessing, feature extraction, cross-modal interaction, and classification modules.

Demystifying Large Language Models for Medicine: A Primer.

Large language models (LLMs) represent a transformative class of AI tools capable of revolutionizing various aspects of healthcare by generating human-like responses across diverse contexts and adapting to novel tasks following human instructions. Their potential application spans a broad range of medical tasks, such as clinical documentation, matching patients to clinical trials, and answering medical questions. In this primer paper, we propose an actionable guideline to help healthcare professionals more efficiently utilize LLMs in their work, along with a set of best practices.

Analysis of Mortality and Life Expectancy Determinants Among 5,791 Deceased Pneumoconiosis Patients - Jiangsu Province, China, 2011-2023.

Pneumoconiosis is the occupational disease with the highest proportion in China. This study conducted a retrospective analysis of 5,791 deceased pneumoconiosis patients. In this study, males comprised 93.

Decoupling many-body interactions in the CeO(111) oxygen vacancy structure with statistical learning and cluster expansion.

Oxygen vacancies (V's) are of paramount importance in influencing the properties and applications of ceria (CeO). Yet, comprehending the distribution and nature of V's poses a significant challenge due to the vast number of electronic configurations and intricate many-body interactions among V's and polarons (Ce ions). In this study, we established a cluster expansion model based on first-principles calculations and statistical learning to decouple the interactions among the Ce ions and V's, thereby circumventing the limitations associated with sampling electronic configurations.

A two-dimensional amorphous iridium-cobalt oxide for an acidic oxygen evolution reaction.

A two-dimensional (2D) amorphous iridium cobalt oxide (Am-IrCoO) was prepared using the molten salt method. The optimal catalyst shows a low overpotential of 230 mV at 10 mA cm in 0.5 M HSO.

Clinical Characteristics of Ear Chondroid Syringoma: A Report of 2 Cases and a Literature Review.

Chondroid syringoma, a mixed tumor of the skin, is an acquired hamartoma that differentiates into hair follicles, sebaceous glands, and apocrine sweat glands. Chondroid syringoma in the ear region is exceptionally rare. However, we present 2 cases of ear chondroid syringoma: 1 involving multiple lesions in the external auditory canal and the other including a single lesion behind the auricle.

Psychological Intervention for Depression and Anxiety in Hemodialysis Patients: A Meta-Analysis.

Background: With the advancement of blood purification technology, there is increasing attention to the mental health of hemodialysis patients, particularly concerning depression. This study aims to determine the effect of psychological interventions on anxiety and depression in hemodialysis patients through a meta-analysis.

Methods: A computerized search was conducted to identify randomized controlled trial (RCT) studies published in PubMed, Embase, Web of Science, ScienceDirect, and Cochrane Library databases from their inception to October 2023, focusing on the effects of psychological interventions on improving depression in hemodialysis patients.

Bionic Luminescent Sensors Based on Covalent Organic Frameworks: Auditory, Gustatory, and Olfactory Information Monitoring for Multimode Perception.

The synthesis of covalent organic frameworks (COFs) with excellent luminescent properties and their effective application in the field of bionic sensing remain a formidable challenge. Herein, a series of COFs with different numbers of hydroxyl groups are successfully synthesized, and the number of hydroxyl groups on the benzene-1,3,5-tricarbaldehyde (BTA) linker influences the properties of the final COFs. The COF (HHBTA-OH) prepared with hydrazine hydrate (HH) and BTA containing one hydroxyl group as the ligands exhibits the best fluorescent performance.

Machine Learning-Assisted High-Throughput Screening of Nanozymes for Ulcerative Colitis.

Ulcerative colitis (UC) is a chronic gastrointestinal inflammatory disorder with rising prevalence. Due to the recurrent and difficult-to-treat nature of UC symptoms, current pharmacological treatments fail to meet patients' expectations. This study presents a machine learning-assisted high-throughput screening strategy to expedite the discovery of efficient nanozymes for UC treatment.

Sacrificial Layer for Sintering Enhancements of Ceramic, Semiconductor, and Metal Films: A Universal Strategy.

The manufacturing of thin films through selective laser sintering of micro/nanoparticles is an emerging technology that has been developing rapidly over the last two decades owing to its digitization, efficiency, and good adaptability to various materials. However, high-quality laser sintering of different materials remains a challenge: ceramic particles are difficult to be sintered due to low absorbance; metallic particles are prone to oxidation; semiconductor particles are difficult to process for performance enhancement due to high stress. In this work, a new approach is proposed that employs an additional Indium Tin Oxide (ITO) sacrificial layer to assist laser sintering of different functional materials, which detaches after sintering without contaminating the target material.

Development and Validation of a Postprocedure Stroke Screening Tool in Children With Cardiac Disease.

Background: Cardiac catheterization in children with heart disease is associated with an increased risk of arterial ischemic stroke. We created and evaluated the diagnostic performance of a bedside screening tool administered postprocedure to identify arterial ischemic stroke.

Methods: We developed a postprocedure stroke screen comprising history of stroke, responsiveness, command following, speech, facial and limb strength symmetry, new seizure, and caregiver concern.

Pretargeted Multimodal Tumor Imaging by Enzymatic Self-Immobilization Labeling and Bioorthogonal Reaction.

Covalent modification of cell membranes has shown promise for tumor imaging and therapy. However, existing membrane labeling techniques face challenges such as slow kinetics and poor selectivity for cancer cells, leading to off-target effects and suboptimal efficacy. Here, we present an enzyme-triggered self-immobilization labeling strategy, termed E-SIM, which enables rapid and selective labeling of tumor cell membranes with bioorthogonal trans-cycloctene (TCO) handles .

van der Waals Photonic Bipolar Junction Transistors Capable of Simultaneously Discerning Wavelength Bands and Dual-Function Chip Application.

The exponential growth of the Internet of Things (IoTs) has led to the widespread deployment of millions of sensors, crucial for the sensing layer's perception capabilities. In particular, there is a strong interest in intelligent photonic sensing. However, the current photonic sensing device and chip typically offer limited functionality, and the devices providing their power take up excessive amounts of space.

Exploring the Effects of Ionic Liquid on the Toughness of Palm Leaf Manuscripts.

Palm leaf manuscripts, crafted from specially treated palm leaves, are invaluable historical documents. However, they degrade and tend to become brittle over time. To date, plant essential oils and glycerin are the used materials to improve the flexibility of palm leaf manuscripts, but the effective duration of these materials is short due to their volatility.

Effects of home-based interventions on cognitive performance in patients with dementia: A systematic review and meta-analysis.

Background: With increasing age, dementia is a common disease in the elderly population，especially Alzheimer's disease. Owing to the nature of the disease, the function of patients deteriorates, which places a heavy burden on the country and family. Home-based training programs have been shown to improve cognitive function in patients with dementia.

The potential association between sedentary behaviors and risk of temporomandibular disorders: evidence from Mendelian randomization analysis.

The role of sedentary behaviors in temporomandibular disorders (TMD) has not been thoroughly investigated. This study aims to investigate the potential association between sedentary behaviors and TMD using Mendelian randomization (MR) analysis. The MR method was employed to assess the causal association between sedentary behaviors and the risk of TMD.

Evaluation of Enrichment Approaches for the Study of the Viromes in Mollusk Species.

Invasive alien species such as freshwater snails have significantly affected the food, environment, and the health of humans and animals, which have unfortunately received insufficient attention. To facilitate the study of viromes in snail species, we compared the enrichment effect of cesium chloride (CsCl) and sucrose density gradient ultracentrifugations in the recovery of diverse viruses in Pomacea canaliculata and Achatina fulica. First, we showed that CsCl-based ultracentrifugation enriched more virus contigs and reduced the nucleic acid background of the Pomacea canaliculata and was thus beneficial for virus recovery.