Tea Consumption and Long-Term Mortality in Very Elderly Individuals With or Without Cardiovascular and Cerebrovascular Disease: Findings From a Sample of 19664 Chinese.

Background: The association between tea consumption and mortality among very elderly individuals, with or without cardiovascular and cerebrovascular diseases (CCD), including stroke, remains unclear. This study hypothesised that a significant association exists.

Methods: We analysed data from two waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), spanning 1998/2000 to 2018, with a maximum follow-up of 20 years.

Electrorefining of Crude Solder for the Production of Fine Solder in Methanesulfonic Acid Medium: Electrolyte Conductivity and Electrorefining Process.

At present, the refining of crude solder has many drawbacks such as high energy consumption, high environmental pollution, equipment corrosion, and low current efficiency. Therefore, a new technique for refining crude solder is of great practical importance. In this work, the electrorefining of crude solder in methanesulfonic acid (MSA) medium was studied.

Calycosin Ameliorates Neuroinflammation via TLR4-Mediated Signal Following Cerebral Ischemia/Reperfusion Injury in vivo and in vitro.

Background: Cerebral ischemia-reperfusion injury (CIRI) is a key pathophysiological process that leads to stroke mortality, with TLR4-mediated inflammation playing a crucial role. Our previous research highlighted the neuroprotective effects of the phytoestrogen calycosin on CIRI, although the precise mechanism remains unclear. This study aimed to explore the effects of calycosin on the HMGB1/TLR4/NF-κB signaling pathway in rat models of CIRI, both in vivo and in vitro.

Incidence, progression, and outcomes of heart failure with improved ejection fraction: The added value of longitudinally assessed ejection fraction.

Background: The revised universal definition of heart failure (HF) established a standardized definition for HF with improved ejection fraction (HFimpEF) and emphasized the importance of longitudinally assessing left ventricular EF (LVEF). We aim to investigate the incidence, disease progression, and clinical outcomes of HFimpEF in a longitudinal cohort of hospitalized HF patients.

Methods: We retrospectively included HF patients with baseline LVEF ≤40 % and satisfactory echocardiographic follow-ups.

Association between RDW-SD and prognosis across glycemic status in patients with dilated cardiomyopathy.

Introduction: The prognostic significance of red cell distribution width-SD (RDW-SD) as a promising inflammatory biomarker in individuals with non-ischemic dilated cardiomyopathy (DCM) and varying glycemic status remains unexplored.

Research Design And Methods: Patients hospitalized for DCM in Fuwai Hospital from 2006 to 2021 were retrospectively included. The primary outcome encompassed all-cause mortality and heart transplantations.

Insight into volatile metabolites and key odorants in black teas processed from Jianghua Kucha tea germplasm (Camellia sinensis var. assamica cv. Jianghua).

Jianghua Kucha (JHKC) is an ancient tea germplasm, which presents a high value for resource utilization but was less developed in aroma research. In this study, volatile metabolites in fresh leaves and corresponding black teas of JHKC, along with odorants of JHKC black teas were systematically investigated using stir-bar sorptive extraction in combination with gas chromatography-mass spectrometry (GC-MS) and GC-olfactometry/MS (GC-O/MS) technologies. A total of 128 and 135 volatile compounds were identified in fresh leaves and black teas, respectively, along with 13 key differential volatile components derived from fatty acids, pigments, glycoside precursors, and the terpene pathway.

Denoising cosine similarity: A theory-driven approach for efficient representation learning.

Representation learning has been increasing its impact on the research and practice of machine learning, since it enables to learn representations that can apply to various downstream tasks efficiently. However, recent works pay little attention to the fact that real-world datasets used during the stage of representation learning are commonly contaminated by noise, which can degrade the quality of learned representations. This paper tackles the problem to learn robust representations against noise in a raw dataset.

Applicability of heart failure clinical practice guidelines in low- and middle-income countries.

Aims: Clinical practice guidelines are commonly written by professional societies in high-income countries (HIC) with limited anticipation of implementation obstacles in other environments. We used heart failure (HF) guidelines as a paradigm to examine this concern, by conducting a survey to understand clinicians' ability to implement HF guidelines and their perceptions of the current HF guideline applicability in low- and middle-income countries (LMIC).

Methods And Results: An online survey of physicians in the database of the Translational Medicine Academy who treat HF patients was offered by email from 5 October to 27 November 2023, inquiring of participants' demographic information, experience, and views of HF guidelines as related to their practice.

Peak Identification in Evolutionary Multimodal Optimization: Model, Algorithms, and Metrics.

In this paper, we present a two-phase multimodal optimization model designed to efficiently and accurately identify multiple optima. The first phase employs a population-based search algorithm to locate potential optima, while the second phase introduces a novel peak identification (PI) procedure to filter out non-optimal solutions, ensuring that each identified solution represents a distinct optimum. This approach not only enhances the effectiveness of multimodal optimization but also addresses the issue of redundant solutions prevalent in existing algorithms.

Construction of a metabolism-malnutrition-inflammation prognostic risk score in patients with heart failure with preserved ejection fraction: a machine learning based Lasso-Cox model.

Background: Metabolic disorder, malnutrition and inflammation are involved and interplayed in the mechanisms of heart failure with preserved ejection fraction (HFpEF). We aimed to construct a Metabolism-malnutrition-inflammation score (MIS) to predict the risk of death in patients with HFpEF.

Methods: We included patients diagnosed with HFpEF and without infective or systemic disease.

Green Synthesis of Boric Acid Modified Bismuth Based Non-Toxic Perovskite Quantum Dots for Highly Sensitive Detection of Oxytetracycline.

In recent years, perovskite quantum dots (PQDs) have successfully attracted widespread attention due to their excellent optical properties. However, the instability and toxicity problems of perovskite quantum dots are the main obstacles limiting their applications. In this work, bismuth-based perovskite quantum dots were synthesized by a ligand-assisted reprecipitation method, based on which a novel boric acid-functionalized bismuth-based non-toxic perovskite quantum dots fluorescent sensor (CsBiBr-APBA) that can be stabilized in the ethanol phase was prepared by a boron affinity technique.

Explainable machine learning and online calculators to predict heart failure mortality in intensive care units.

Aims: This study aims to develop explainable machine learning models and clinical tools for predicting mortality in patients in the intensive care unit (ICU) with heart failure (HF).

Methods: Patients diagnosed with HF who experienced their first ICU stay lasting between 24 h and 28 days were selected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The primary outcome was all-cause mortality within 28 days.

Clinical characteristics, diagnosis and short-term outcomes of COVID-19-associated acute myocarditis in China.

Aims: Acute myocarditis (AM) has been recognized as a rare complication of coronavirus disease 2019 (COVID-19) infection. This study was conducted to present the clinical characteristics, disease courses and short-term prognoses of Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induced AM in China, which has been unavailable so far.

Methods And Results: Data from 28 patients diagnosed with definite COVID-19-associated AM from 6 hospitals in China between 1 December 2022 and 30 June 2023 were collected and analysed.

Recycling of Spent Lithium Iron Phosphate Cathodes: Challenges and Progress.

The number of spent lithium iron phosphate (LiFePO, LFP) batteries will increase sharply in the next few years, owing to their large market share and development potential. Therefore, recycling of spent LFP batteries is necessary and urgent from both resource utilization and environmental protection standpoints. In this review, the significance of pretreatment for LFP recycling is first underscored, and its technical challenges and recent advancements are presented.

Synthesis and Kinetics of CO-Responsive Gemini Surfactants.

Surfactants are hailed as "industrial monosodium glutamate", and are widely used as emulsifiers, demulsifiers, water treatment agents, etc., in the petroleum industry. However, due to the unidirectivity of conventional surfactants, the difficulty in demulsifying petroleum emulsions generated after emulsification with such surfactants increases sharply.

Exploring the heart-brain and brain-heart axes: Insights from a bidirectional Mendelian randomization study on brain cortical structure and cardiovascular disease.

Introduction: The bidirectional relationship between the brain cortex and cardiovascular diseases (CVDs) remains inadequately explored.

Methods: This study used bidirectional Mendelian randomization (MR) analysis to explore the interactions between nine phenotypes associated with hypertension, heart failure, atrial fibrillation (AF), and coronary heart disease (CHD), and brain cortex measurements. These measurements included total surface area (SA), average thickness (TH), and the SA and TH of 34 regions defined by the Desikan-Killiany atlas.

Clinical phenotypes of heart failure patients with supranormal ejection fraction.

Aims: Heart failure (HF) with supranormal ejection fraction (HFsnEF) represents a distinct clinical entity characterized by limited treatment options and an unfavourable prognosis. Revealing its phenotypic diversity is crucial for understanding disease mechanism and optimizing patient management. We aim to identify phenotypic subgroups in HFsnEF using unsupervised clustering analysis.

Surface-Functionalized Halo-Tag Gold Nanoprobes for Live-Cell Long-Term Super-Resolution Imaging of Endoplasmic Reticulum Dynamics.

Super-resolution fluorescence microscopy has emerged as a powerful tool for studying endoplasmic reticulum (ER) dynamics in living cells. However, the lack of high-brightness, high-photostability, and stable labeling probes makes long-term super-resolution imaging of the ER still challenging. Herein, we reported a surface-functionalized Halo-tag gold nanofluorescent probe (GNP-Atto565-fR8-CA) that exhibits excellent brightness, photostability, and biocompatibility.