Global reasons for missed nursing care: a systematic review and meta-analysis.

Background: While numerous studies have quantified the prevalence of reasons for missed care, a comprehensive synthesis of evidence across various health systems remains lacking.

Aim: To estimate the pooled prevalence of the reasons reported by nurses for missed care, using data from the MISSCARE surveys.

Introduction: Missed nursing care, which refers to any aspect of essential patient care that is omitted or delayed, presents substantial risks to patient safety and the quality of care.

Alzheimer's disease and diabetes-associated cognitive dysfunction: the microglia link?

Alzheimer's disease (AD) is characterized by the accumulation of amyloid-β (Aβ) plaques and the aggregation of tau protein, resulting in intense memory loss and dementia. Diabetes-associated cognitive dysfunction (DACD) is a complication of diabetes mellitus, which is associated with decreased cognitive function and impaired memory. A growing body of literature emphasize the involvement of microglia in AD and DACD.

Short time solar power forecasting using P-ELM approach.

Accurately predicting solar power to ensure the economical operation of microgrids and smart grids is a key challenge for integrating the large scale photovoltaic (PV) generation into conventional power systems. This paper proposes an accurate short-term solar power forecasting method using a hybrid machine learning algorithm, with the system trained using the pre-trained extreme learning machine (P-ELM) algorithm. The proposed method utilizes temperature, irradiance, and solar power output at instant i as input parameters, while the output parameters are temperature, irradiance, and solar power output at instant i+1, enabling next-day solar power output forecasting.

The role of KRT18 in lung adenocarcinoma development: integrative bioinformatics and experimental validation.

Lung adenocarcinoma (LUAD) represents one of the most common subtypes of lung cancer with high rates of incidence and mortality, which contributes to substantial health and economic demand across the globe. Treatment today mainly consists of surgery, radiotherapy, and chemotherapy, but their efficacy in advanced stages is often suboptimal and emphasizes the clear need for new biomarkers and therapeutic targets. Using comprehensive bioinformatics analyses consisting of the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), Human Protein Atlas (HPA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC), immune infiltration analysis and functional enrichment analysis, and single-cell analysis, we examined the potential of keratin 18 (KRT18) as a candidate biomarker in advanced LUAD.

Atherogenic index of plasma and the clinical outcome of patients with acute coronary syndrome: a meta-analysis.

Background: The atherogenic index of plasma (AIP) has been related to an increased risk of coronary artery disease. However, previous studies evaluating the prognostic role of AIP for acute coronary syndrome (ACS) showed inconsistent results. This meta-analysis was conducted to systematically evaluate the association between AIP and the risk of major cardiovascular adverse events (MACE) of patients with ACS.

The mediating role of C-reactive protein (CRP) in the dietary intake of flavonoids and the risk of albuminuria.

: Prior experimental investigations have highlighted the beneficial effects of flavonoid consumption on renal function. However, a comprehensive evaluation of their impact on modulating albuminuria risk within population-based epidemiological studies is still limited. This study aimed to fill this gap by examining the correlation between flavonoid intake and albuminuria risk, while also shedding light on the potential mediating influence of inflammation in this association.

Ammonium Sensing Patch with Ultrawide Linear Range and Eliminated Interference for Universal Body Fluids Analysis.

Ammonium level in body fluids serves as one of the critical biomarkers for healthcare, especially those relative to liver diseases. The continuous and real-time monitoring in both invasive and non-invasive manners is highly desired, while the ammonium concentrations vary largely in different body fluids. Besides, the sensing reliability based on ion-selective biosensors can be significantly interfered by potassium ions.

Online Monitoring of the Processing of Traditional Chinese Medicine by Neutral Desorption Atmospheric Pressure Chemical Ionization Mass Spectrometry.

The pharmacological effects of traditional Chinese medicine (TCM) are closely associated with the processing procedures, which involve a multitude of intricate chemical reactions. Real-time monitoring of the dynamic changes in chemical constituents during TCM processing plays a pivotal role in ensuring quality control of TCM products. Herein, a neutral desorption atmospheric pressure chemical ionization mass spectrometry (ND-APCI-MS) method was developed for online monitoring of the TCM processing.

Novel Spectrophotometric Method for Robust Detection of Trace Copper and Cobalt in High-Concentration Zinc Solution.

In the purification process of zinc hydrometallurgy, the spectra of copper and cobalt seriously overlap in the whole band and are interfered with by the spectra of zinc and nickel, which seriously affects the detection results of copper and cobalt in zinc solutions. Aiming to address the problems of low resolution, serious overlap, and narrow characteristic wavelengths, a novel spectrophotometric method for the robust detection of trace copper and cobalt is proposed. First, the Haar, Db4, Coif3, and Sym3 wavelets are used to carry out the second-order continuous wavelet transform on the spectral signals of copper and cobalt, which improves the resolution of copper and cobalt and eliminates the background interference caused by matrix zinc signals and reagents.

CeCl-Catalyzed C-H Alkylation of -Sulfonyl Ketimines with Alkanes and Ether via Photoinduced Ligand-to-Metal Charge Transfer.

A cerium-catalyzed C-H alkylation of -sulfonyl ketimines with low-cost and readily available alkanes as alkyl sources was developed. This transformation proceeded through the synergy of photoinitiated ligand-to-metal charge transfer (LMCT) using a chlorine radical as an HAT reagent and air as a green oxidant. A series of alkylated -sulfonyl ketimines were synthesized with moderate to good yields in a highly atom-economic manner under chemical oxidant-free conditions.

Analysis of volatile compounds in Xiangjiao baijiu from different storage containers and years based on HS-GC-IMS and DI-GC-MS.

The volatile compounds in 16 different storage containers and years of Xiangjiao Baijiu (XJBJ) were compared and analyzed via direct injection (DI) combined with gas chromatography-mass spectrometry (GC-MS) and headspace extraction (HS) coupled with gas chromatography-ion mobility spectrometry (HS-GC-IMS) for the first time. Through HS-GC-IMS analysis, it was found that the succession rules of 14 compounds such as furfural during aging process. A total of 60 compounds were identified using DI-GC-MS.

Synthesis, Structural Characterization, and Electronic Structure Analysis of F-type Superatomic Molecules.

The investigation of bonding interactions between superatoms continues to be a largely unexplored area of study. In this study, we present the synthesis and characterization of two F-type superatomic molecules [AuAg(CHNOS)(DPPB)] and [AuAg(CHNS)(DPPM)] ( and for short, respectively). The overall structures were confirmed via X-ray crystallography, revealing the horizontal expansion of the biicosahedral AuAg yielding [AuAg(CHNOS)(DPPB)] and vertical expansion of the biicosahedral AuAg yielding [AuAg(CHNS)(DPPM)].

Proton-capture strategy for stable redox potential in luteolin detection using SnO-ZIF-67 electrodes.

Variations in H⁺ concentration significantly impact the redox potential of luteolin during electrochemical sensor detection, leading to indeterminate electrochemical signals and hindering accurate identification of luteolin. In this study, we developed a proton-capture strategy for electrochemical sensing by synthesizing a ZIF-67-modified SnO (SnO-ZIF-67) composite, enabling constant peak potential detection across a range of pH environments. We demonstrated through both experimental methods and density functional theory (DFT) that ZIF-67 induces a high density of oxygen vacancies within the SnO₂ crystal, which capture protons dissociated from luteolin, thereby preventing potential shifts during electrochemical detection.

Early outcomes of radical surgery in non-small-cell lung cancer patients with and without COVID-19 history: a multi-center real-world study.

Background: Coronavirus disease (COVID)-19 can lead to chronic lung damage and respiratory issues, potentially increasing surgical difficulty and risk for patients with non-small-cell lung cancer (NSCLC). However, the impacts of a COVID-19 history on early outcomes in NSCLC patients remain controversial.

Objectives: To evaluate the effect of COVID-19 history on early outcomes in NSCLC patients and identify high-risk groups undergoing radical resection based on the largest Chinese multi-center real-world data to date.

Semaglutide promotes the transition of microglia from M1 to M2 type to reduce brain inflammation in APP/PS1/tau mice.

A growing number of studies show that the diabetes drug Semaglutide is neuroprotective in Alzheimer's disease (AD) animal models, but its mode of action is not fully understood. In order to explore the mechanism of Semaglutide, 7-month-old APP/PS1/tau transgenic (3xTg) mice and wild-type (WT) mice were randomly divided into four groups: control group (WT + PBS), AD model group (3xTg + PBS), Semaglutide control group (WT + Semaglutide) and Semaglutide treatment group (3xTg + Semaglutide). Semaglutide (25 nmol/kg) or PBS was administered intraperitoneally once every two days for 30 days, followed by behavioral and molecular experiments.

Traditional Chinese medicine FYTF-919 (Zhongfeng Xingnao oral prescription) for the treatment of acute intracerebral haemorrhage: a multicentre, randomised, placebo-controlled, double-blind, clinical trial.

Background: There are few proven treatments for acute spontaneous intracerebral haemorrhage, and they all target reducing expansion of the haematoma. The traditional Chinese medicine FYTF-919 (Zhongfeng Xingnao) in an oral solution is comprised of several Chinese herbs that are widely used to treat patients with intracerebral haemorrhage in China on the understanding that they enhance resorption of the haematoma and reduce neuroinflammation. We aimed to provide a reliable assessment of the safety and efficacy of FYTF-919 in patients with moderate to severe acute intracerebral haemorrhage.

Atezolizumab monotherapy as first-line treatment for non-small cell lung cancer ineligible for treatment with a platinum-containing regimen (IPSOS): a cost-effectiveness analysis in the USA.

Objective: This study explores the cost-effectiveness of atezolizumab monotherapy compared with chemotherapy as first-line treatment for stage IIIB or IV non-small cell lung cancer (IIIB/IV-NSCLC) ineligible for platinum-based chemotherapy from a US payer perspective.

Design: This is based on the IPSOS clinical trial. We conducted a comprehensive assessment of the cost-effectiveness of atezolizumab monotherapy versus single-agent chemotherapy over a 15-year duration.

MicroRNA-429 overexpression overcomes imatinib resistance of glioma cells by negatively regulating lysophosphatidic acid receptor 1.

Background: Glioma is one of the most aggressive and lethal malignancies in central nervous system. It has been reported that miR-429 is declined in glioma and functions as a tumor suppressor. Nonetheless, the potential role of miR-429 in drug resistance of glioma is still ambiguous.

Photoelectrochemical detection of Cu based on ZnInS/WO Z-scheme heterojunction.

A one-step hydrothermal technique was utilized to generate WO nanosheets on fluorine-doped tin oxide (FTO) (WO/FTO), which were subsequently modified with ZnInS microspheres to create a Z-scheme heterojunction ZnInS/WO/FTO electrode for Cu detection. The heterojunction exhibited excellent photoelectric conversion efficiency, which was nearly 2.5-fold and 5.

GBMPhos: A Gating Mechanism and Bi-GRU-Based Method for Identifying Phosphorylation Sites of SARS-CoV-2 Infection.

Phosphorylation, a reversible and widespread post-translational modification of proteins, is essential for numerous cellular processes. However, due to technical limitations, large-scale detection of phosphorylation sites, especially those infected by SARS-CoV-2, remains a challenging task. To address this gap, we propose a method called GBMPhos, a novel method that combines convolutional neural networks (CNNs) for extracting local features, gating mechanisms to selectively focus on relevant information, and a bi-directional gated recurrent unit (Bi-GRU) to capture long-range dependencies within protein sequences.