The Effects of Daily-Living Risks on Breast Cancer-Related Lymphedema.

BACKGROUND: Conventional advice to reduce the risk of breast cancer-related lymphedema (BCLE) suggests avoidance of daily-living risks, and limited research has investigated these risks. OBJECTIVE: This study aimed to examine the occurrence, patterns, and effects of daily-living risks on BCLE. METHODS: A cross-sectional design was used to collect data from 567 patients at a metropolitan cancer center in the United States. The Lymphedema Risk-Reduction Behavior Checklist was used to assess the occurrence of 11 daily-living risks. Descriptive, regression, and factor analyses were performed. RESULTS: Significant odds of BCLE were associated with infection (odds ratio [OR] 2.58, 95% confidence interval [CI] 1.95-3.42), cuts/scratches (OR 2.65, 95% CI 1.97-3.56), sunburn (OR 1.89, 95% CI 1.39-3.56), oil splash or steam burns (OR 2.08, 95% CI 1.53-3.83), and insect bites (OR 1.59, 95% CI 1.18-2.13). The daily-living risks were clustered into factors related to skin trauma and carrying objects. Skin trauma risk was significantly associated with BCLE (B = 0.539, z = 3.926, OR 1.714, 95% CI 1.312-2.250; p < 0.001). Having three, four, or five skin trauma risks significantly increased the odds of BCLE to 4.31, 5.14, and 6.94 times, respectively. The risk of carrying objects had no significant or incremental effects on BCLE. CONCLUSION: Complete avoidance of daily-living risks is challenging given 52.73% of patients incurred more than five daily-living risks. Our study findings underscore the importance of 'what to do' strategies to minimize infection and skin trauma.

Distribution and influencing factors of pulp stones based on CBCT: a retrospective observational study from southwest China.

BACKGROUND: Pulp stones are a type of pulp calcification, the presence of which tends to hinder endodontic treatment. Thus, this retrospective study aimed to analyze the distribution of pulp stones in the population in southwest China and identify the influencing factors. MATERIALS: Cone-beam computed tomography (CBCT) scans of 5066 teeth of 200 patients (91 males and 109 females) aged 16-45 years were evaluated. Pulp stones were marked as either present or absent when distinct radiopaque masses were found in the pulp cavity, then evaluated the occurrence of pulp stones with regard to tooth type, sex, age group, and contact it with tooth status. The Pearson chi-square test and nonparametric test were used for statistical analysis. RESULTS: Pulp stones were detected in 49.0% of patients and 7.4% of teeth, respectively. The incidence in females was 1.9 times higher than in males (OR = 1.9, 95% CI = 1.1-3.3, p = 0.001). Pulp stones were most prevalent in patients 36-45 years of age. Furthermore, in the age range of 16-45 years, the likelihood of finding pulp stones increased 1.1 times per year with age (OR = 1.1, 95% CI = 1.0-1.1, p = 0.032). A higher incidence of pulp stones was observed in the maxilla and molars. Of the 5066 teeth studied, pulp stones were more common in non-intact teeth. CONCLUSION: Nearly half of the population in southwest China had pulp stones. Pulp stones were found significantly more often in females, maxilla, and non-intact teeth, and their frequency increased with age. For dentists, understanding the distribution of pulp stones is crucial for the proper design of root canal treatment (RCT). TRIAL REGISTRATION: This study was approved by the Ethics Committee of the Affiliated Hospital of Stomatology, Southwest Medical University (certificate number: 20220818001).

Matrix stiffness aggravates osteoarthritis progression through H3K27me3 demethylation induced by mitochondrial damage.

Abnormal epigenetics is the initial factor of the occurrence and development of osteoarthritis (OA), and abnormal mechanical load is a key pathogenic factor of OA. However, how abnormal mechanical load affects chondrocyte epigenetics is unclear. Chondrocytes reportedly respond to mechanics through the extracellular matrix (ECM), which has a role in regulating epigenetics in various diseases, and mitochondria are potential mediators of communication between mechanics and epigenetics. Therefore, it is hypothesized that the matrix mechanics of cartilage regulates their epigenetics through mitochondria and leads to OA. The matrix stiffness of OA cartilage on the stress-concentrated side increases, mitochondrial damage of chondrocyte is severe, and the chondrocyte H3K27me3 is demethylated. Moreover, mitochondrial permeability transition pore (mPTP) opens to increase the translocation of plant homeodomain finger protein 8 (Phf8) into the nucleus to catalyze H3K27me3 demethylation. This provides a new perspective for us to understand the mechanism of OA based on mechanobiology.

Real-world prevalence of adverse events with first-line systemic therapies among patients with metastatic castration-sensitive prostate cancer.

BACKGROUND: The current guidelines for treating metastatic castration-sensitive prostate cancer (mCSPC) recommend treatment intensification of androgen deprivation therapy (ADT) with the addition of an androgen receptor pathway inhibitor (ARPI), with or without docetaxel. However, the adoption of these treatment options has been slow, leading to therapeutic inertia. This real-world study was conducted to investigate the occurrence of adverse events (AEs) among treated patients diagnosed with mCSPC in the United States. METHODS: This retrospective claim review estimated the occurrence of AEs among patients with mCSPC from January 2014 to June 2021 in the PharMetrics® Plus data set. The study focused on 10 common AEs (fatigue/asthenia, gastrointestinal [GI] AEs, skin/nail/hair AEs, immunodeficiency/thrombocytopenia, hot flash, sexual function AEs, anemia, hypertension, pain, and edema) known to occur in ≥10% of patients and ≥2% more prevalent than those treated with ADT alone as selected from the US Food and Drug Administration prescribing information and published results from clinical trials. Proportions of patients experiencing these AEs at Day 90, 180, and then every 180 days until month 30 during the follow-up period were estimated using cumulative hazard plots. Results were adjusted using inverse probability of treatment weighting (IPTW) across four treatment groups: ADT alone, ADT + nonsteroidal anti-androgen (NSAA) (bicalutamide, nilutamide, or flutamide), ADT + docetaxel, and ADT + ARPIs (abiraterone, apalutamide, or enzalutamide). ADT-alone cohort was the reference group for all comparisons. RESULTS: A total of 4145 patients were included (ADT alone: 2318, ADT + NSAA: 632, ADT + docetaxel: 471, ADT + ARPIs: 724). At baseline, median (interquartile range [IQR]) age was 64.3 (60.1-73.1) years; most common sites of metastasis were bone only (n = 1886, 45.5%) and node only (n = 1237, 29.8%); most used medications were pain medications (n = 2182, 52.6%) and corticosteroids (n = 1213, 29.3%). Median (IQR) duration of follow-up 10.2 (6.1-16.6) months in ADT alone, 6.7 (4.1-11.5) months in ADT + NSAA, 5.1 (4.3-5.9) months in ADT + docetaxel, and 11.0 (6.6-17.0) months in ADT + ARPI cohort. The reported AEs increased over time for all assessed AEs, across all treatment groups. Compared with ADT alone, no statistically significant difference in the proportion of patients with AEs was seen in the ADT + ARPI or ADT + NSAA cohorts at months 3 and 12; a significantly higher proportion of patients in the ADT + docetaxel cohort experienced 6 of the 10 assessed AEs at month 3 (fatigue/asthenia, GI AEs, skin/nail/hair AEs, immunodeficiency/thrombocytopenia, hot flash, anemia). During the follow-up period, on IPTW analysis, compared with ADT alone, a significantly higher proportion of patients experienced AEs with seven AEs in the ADT + docetaxel group (fatigue/asthenia, GI AEs, skin/nail/hair AEs, immunodeficiency/thrombocytopenia, hot flash, anemia, edema; p < 0.001 for all seven), three AEs in the ADT + ARPI group (hot flash, p = 0.05; anemia, p = 0.01; edema, p = 0.019), and one AE in the ADT + NSAA group (anemia, p = 0.029). The proportion of patients with sexual function AE did not significantly differ between the treatment groups and ADT alone. CONCLUSION: Results of this large, real-world study demonstrated that all treatment groups experienced an increase in the rates of AEs over time, including ADT alone. Most AE rates with ADT + ARPIs were comparable with ADT + NSAA and not significantly different from ADT alone. ADT + docetaxel cohort was associated with significantly higher rates for all AEs over time except hypertension, sexual dysfunction, and pain. This study provides real-world evidence on AEs, beyond controlled clinical trials, and may assist healthcare providers to make better-informed decisions about disease management among patients with mCSPC.

Unveiling the multifaceted potential of Pseudomonas khavaziana strain SR9: a promising biocontrol agent for wheat crown rot.

Fusarium pseudograminearum, a soil-borne fungus, is the cause of the devastating wheat disease known as wheat crown rot (WCR). The persistence of this pathogen in the soil and crop residues contributes to the increased occurrence and severity of WCR. Therefore, developing effective strategies to prevent and manage WCR is of great importance. In this study, we isolated a bacterial strain, designated as SR9, from the stem of wheat, that exhibited potent antagonistic effects against F. pseudograminearum, as well as the biocontrol efficacy of SR9 on WCR was quantified at 83.99% ± 0.11%. We identified SR9 as Pseudomonas khavaziana and demonstrated its potential as a plant probiotic. SR9 displayed broad-spectrum antagonism against other fungal pathogens, including Neurospora dictyophora, Botrytis californica, and Botryosphaeria dothidea. Whole-genome sequencing analysis revealed that SR9 harbored genes encoding various cell wall-degrading enzymes, cellulases, and lipases, along with antifungal metabolites, which are responsible for its antagonistic activity. Gene knockout and quantitative PCR analyses reveal that phenazine is the essential factor for antagonism. SR9 possessed genes related to auxin synthesis, flagellar biosynthesis, biofilm adhesion, and the chemotaxis system, which play pivotal roles in plant colonization and growth promotion; we also evaluated the effects of SR9 on plant growth in wheat and Arabidopsis. Our findings strongly suggest that SR9 holds great promise as a biocontrol agent for WCR in sustainable agriculture.IMPORTANCEThe escalating prevalence of wheat crown rot, primarily attributed to Fusarium pseudograminearum, necessitates the development of cost-effective and eco-friendly biocontrol strategies. While plant endophytes are recognized for their biocontrol potential, reports on effective strains targeting wheat crown rot are sparse. This study introduces the Pseudomonas khavaziana SR9 strain as an efficacious antagonist to the wheat crown rot pathogen Fusarium pseudograminearum. Demonstrating a significant reduction in wheat crown rot incidence and notable plant growth promotion, SR9 emerges as a key contributor to plant health and agricultural sustainability. Our study outlines a biological approach to tackle wheat crown rot, establishing a groundwork for innovative sustainable agricultural practices.

Using -NH and -OH rich organic cathodes to explore proton transport in aqueous zinc-ion batteries.

An organic cathode material for zinc-ion batteries shows a reliable proton transport mechanism. It uses a pyrazine ring as the energy storage unit and H+ as the shuttle ion, enabling high functionality utilization with rapid redox kinetics.

Suppressing interfacial nucleation competition through supersaturation regulation for enhanced perovskite film quality and scalability.

The growing interest in cost-effective and high-performing perovskite solar cells (PSCs) has driven extensive research. However, the challenge lies in upscaling PSCs while maintaining high performance. This study focuses on achieving uniform and compact perovskite films without pinholes and interfacial voids during upscaling from small PSCs to large-area modules. Competition in nucleation at concavities with various angles on rough-textured substrates during the gas-pumping drying process, coupled with different drying rates across the expansive film, aggravates these issues. Consequently, substrate roughness notably influences the deposition window of compact large-area perovskite films. We propose a supersaturation regulation approach aimed at achieving compact deposition of high-quality perovskite films over large areas. This involves introducing a rapid drying strategy to induce a high-supersaturation state, thereby equalizing nucleation across diverse concavities. This breakthrough enables the production of perovskite photovoltaics with high efficiencies of 25.58, 21.86, and 20.62% with aperture areas of 0.06, 29, and 1160 square centimeters, respectively.

High-voltage electrosynthesis of organic-inorganic hybrid with ultrahigh fluorine content toward fast Li-ion transport.

Hybrid materials with a rational organic-inorganic configuration can offer multifunctionality and superior properties. This principle is crucial but challenging to be applied in designing the solid electrolyte interphase (SEI) on lithium metal anodes (LMAs), as it substantially affects Li+ transport from the electrolyte to the anode. Here, an artificial SEI with an ultrahigh fluorine content (as high as 70.12 wt %) can be successfully constructed on the LMA using a high-voltage electrosynthesis strategy. This SEI consists of ultrafine lithium fluoride nanocrystals embedded in a fluorinated organic matrix, exhibiting excellent passivation and mechanical strength. Notably, the organic-inorganic interface demonstrates a high dielectric constant that enables fast Li+ transport throughout the SEI. Consequently, LMA coated with this SEI substantially enhances the cyclability of both half-cells and full cells, even under rigorous conditions. This work demonstrates the potential of rationally designed hybrid materials via a unique electrosynthetic approach for advanced electrochemical systems.

Phaser-Trim: A Phase Separation Based Genetically Encoded Reporter for H3K9 Trimethylation in Living Cells.

Histone methylation is a key epigenetic modification that regulates the chromatin structure and gene expression for proper cellular and physiological processes. Aberrant histone methylation patterns are implicated in many diseases. Therefore, monitoring histone methylation dynamics in living cells and species is essential for elucidating its regulatory mechanisms and identifying potential therapeutic targets. However, current methods for detecting histone methylation are limited by their low sensitivity and specificity. To overcome this challenge, we have developed a genetically encoded biosensor named Phaser-Trim (Phase separation based genetically encoded reporter for H3K9 Trimethylation) to detect the dynamic changes of H3K9me3 in living cells and species through the generation and disappearance of phase-separated droplets. Phaser-Trim demonstrates advantages of clear phenotypic characteristics, convenient operation, quantitative accuracy, biocompatibility, high specificity, and superior imaging performance with high signal-to-background ratio (SBR) for in vivo animal imaging. Using Phaser-Trim, we have successfully detected the dynamics of the H3K9me3 level during the differentiation of neural stem cells in Drosophila. Furthermore, Phaser-Trim also holds promise for application in high-throughput screening systems to facilitate the discovery of novel anticancer drugs.

Minocycline alleviates microglia ferroptosis by inhibiting HO-1 during cerebral ischemia-reperfusion injury.

OBJECTIVE: Ischemic stroke is a leading cause of death and disability in individuals worldwide. Cerebral ischemia-reperfusion injury (CIRI) typically results in severe secondary injury and complications following reperfusion therapy. Microglia play critical roles in the inflammatory reaction of CIRI. However, less attention has been given to microglial death in this process. Our study aims to explore microglial death in CIRI and the effects and mechanism of minocycline treatment on microglia. METHODS: A middle cerebral artery occlusion (MCAO) model was applied to induce CIRI in rats. At 0 h, 24 h and 48 h post-operation, rats were intraperitoneally injected with 45 mg/kg minocycline. Neurological deficit scoring, 2,3,5-triphenyltetrazolium chloride (TTC) staining, assessment of activated microglia and examination of mitochondrial structure were conducted and checked at 72 h after reperfusion. Additionally, an in vitro model of oxygen-glucose deprivation/reperfusion (OGD/R) model was established. BV-2 cells were treated with various pharmacological inhibitors of cell death or minocycline. Cell viability, lipid peroxidation, mitochondrial structure and function, and labile Fe2+ and ferroptosis-associated gene/protein levels were measured. Hemin was used for further validation after transcriptome analysis. RESULTS: In the MCAO and OGD/R models, ferroptosis was identified as a major form of microglial death. Minocycline inhibited microglia ferroptosis by reducing HO-1 expression. In addition, minocycline improved mitochondrial membrane potential, mitochondrial structures and microglial survival in vivo. Minocycline also decreased labile Fe2+ levels, lipid peroxidation, and expression of ferritin heavy chain (FTH) and it improved mitochondrial structure and function in vitro. Upregulation of HO-1 counteracted the protective effect of minocycline. CONCLUSION: Ferroptosis is a major form of microglial death in CIRI. The protective mechanism of minocycline in CIRI partially hinges on its ability to effectively ameliorate microglia ferroptosis by downregulating HO-1 expression. Consequently, targeting microglia ferroptosis is a promising treatment for CIRI.

Construction of a nomogram with IrAE and clinic character to predict the survival of advanced G/GEJ adenocarcinoma patients undergoing anti-PD-1 treatment.

Objective: This study aimed to develop and validate a survival prediction model and nomogram to predict survival in patients with advanced gastric or gastroesophageal junction (G/GEJ) adenocarcinoma undergoing treatment with anti-programmed cell death 1 receptor (PD-1). This model incorporates immune-related adverse events (irAEs) alongside common clinical characteristics as predictive factors. Method: A dataset comprising 255 adult patients diagnosed with advanced G/GEJ adenocarcinoma was assembled. The irAEs affecting overall survival (OS) to a significant degree were identified and integrated as a candidate variable, together with 12 other candidate variables. These included gender, age, Eastern cooperative oncology group performance status (ECOG PS) score, tumor stage, human epidermal growth factor receptor 2 (HER2) expression status, presence of peritoneal and liver metastases, year and line of anti-PD-1 treatment, neutrophil-to-lymphocyte ratio (NLR), controlling nutritional status (CONUT) score, and Charlson comorbidity index (CCI). To mitigate timing bias related to irAEs, landmark analysis was employed. Variable selection was performed using the least absolute shrinkage and selection operator (LASSO) regression to pinpoint significant predictors, and the variance inflation factor was applied to address multicollinearity. Subsequently, a Cox regression analysis utilizing the forward likelihood ratio method was conducted to develop a survival prediction model, excluding variables that failed to satisfy the proportional hazards (PH) assumption. The model was developed using the entire dataset, then internally validated through bootstrap resampling and externally validated with a cohort from another Hospital. Furthermore, a nomogram was created to delineate the predictive model. Results: After consolidating irAEs from the skin and endocrine systems into a single protective irAE category and applying landmark analysis, variable selection was conducted for the prognostic prediction model along with other candidate variables. The finalized model comprised seven variables: ECOG PS score, tumor stage, HER2 expression status in tumor tissue, first-line anti-PD-1 treatment, peritoneal metastasis, CONUT score, and protective irAE. The overall concordance index for the model was 0.66. Calibration analysis verified the model's accuracy in aligning predicted outcomes with actual results. Clinical decision curve analysis indicated that utilizing this model for treatment decisions could enhance the net benefit regarding 1- and 2-year survival rates for patients. Conclusion: This study developed a prognostic prediction model by integrating common clinical characteristics of irAEs and G/GEJ adenocarcinoma. This model exhibits good clinical practicality and possesses accurate predictive ability for overall survival OS in patients with advanced G/GEJ adenocarcinoma.

Association between fast eating speed and metabolic dysfunction-associated steatotic liver disease: a multicenter cross-sectional study and meta-analysis.

BACKGROUND: With the fast pace of modern life, people have less time for meals, but few studies have examined the association between the habit of fast eating and metabolic diseases. OBJECTIVE: Combining the results of the current study and the prior ones, we aimed to investigate the possible relationship between fast eating and the risk of metabolic dysfunction-associated steatotic liver disease (MASLD). METHODS: This is a sub-analysis of a multicenter cross-sectional study of 1965 participants investigated the association between fast eating and MASLD in Chinese. Fast eating was defined as meal time less than five minutes and participants were divided into three categories based on their self-reported frequency of fast eating: ≤1 time/month, ≤1 time/week and ≥2 times/week. We further conducted a literature search for available studies published before November, 2023 as well as a meta-analysis to investigate the association between fast eating and MASLD. RESULTS: The proportion of MASLD was 59.3%, 50.5%, and 46.2% in participants with fast eating ≥2 times/week, ≤1 time/week and ≤1 time/month, respectively (P for trend <0.001). The frequency of fast eating was independently associated with risk of MASLD after multiple adjustment for sex, age, demographics, smoking and drinking status, BMI and clinical metabolic parameters (OR, 1.29; 95%CI, 1.09-1.53). Participants who ate fast frequently (≥2 times/week) had 81% higher risk of MASLD (P = 0.011). A meta-analysis of five eligible studies confirmed that frequent fast eating was associated with increased risk of MASLD (pooled OR, 1.22; 95%CI, 1.07-1.39). CONCLUSIONS: Frequent fast eating was associated with an increased risk of MASLD.

Low-frequency ultrasound assisted contact-electro-catalysis for efficient inactivation of Microcystis aeruginosa.

Frequent cyanobacterial blooms pose a serious threat to the aquatic ecosystem and human health, so developing an efficient algae removal method is a long-term goal for bloom management. Current technologies for algal bloom control need urgent improvement in terms of algicide recovery, eco-friendliness and cost. Here we propose a contact-electro-catalytic method, using polytetrafluoroethylene (PTFE) film as a reusable catalyst. This contact-electro-catalytic approach involves the generation of reactive oxygen species (e.g., O2•-, HO•, 1O2 and H2O2) through water-PTFE contact electrification under the low-frequency ultrasonic waves, facilitating the inactivation of algae. The removal rate of the cyanobacterium Microcystis aeruginosa (M. aeruginosa) exposured to the water-PTFE contact-electro-catalytic system is almost five times greater than that of ultrasound alone after 5 h. A mechanistic investigation revealed that the contact-electro-catalytic system damaged the photosynthetic activity, antioxidant system and membrane integrity of the cells. Additionally, LC-MS metabolomic analysis indicated that this system caused substantial significant disruptions in the TCA cycle, amino acid metabolism, purine metabolism and phospholipid metabolism. Three-dimensional fluorescence spectroscopy suggested contact-electro-catalysis could further availably degrade the organic matter. We anticipate that this method can provide an eco-friendly, highly efficient and economic approach for effective control of harmful algal blooms.

Quantum neural network approach to Markovian dissipative dynamics of many-body open quantum systems.

Numerous variational methods have been proposed for solving quantum many-body systems, but they often face exponentially increasing computational complexity as the Hilbert space dimension grows. To address this, we introduce a novel approach using quantum neural networks to simulate the dissipative dynamics of many-body open quantum systems. This method combines neural-network quantum state representation with the time-dependent variational principle, both implemented via quantum algorithms. This results in accurate open quantum dynamics described by the Lindblad quantum master equation, exemplified by the spin-boson and transverse field Ising models. Our approach avoids the computational expense of classical algorithms and demonstrates the potential advantages of quantum computing for many-body simulations. To reduce measurement errors, we introduce a projection reset procedure, which could benefit other quantum simulations. In addition, our approach can be extended to simulate non-Markovian quantum dynamics.

Clinical Predictors of Nontuberculous Mycobacteria Lung Disease and Coisolates of Potential Pathogenic Microorganisms in Noncystic Fibrosis Bronchiectasis.

Background: In bronchiectasis, nontuberculous mycobacteria (NTM) lung disease (NTM-LD) is a well-known coexisting infection. However, microorganism coisolates and clinical NTM-LD predictors are poorly studied. Methods: Patients with bronchiectasis diagnosed by means of computed tomography between January 2017 and June 2020 were screened, using the date of computed tomography as the index date. Those with a major bronchiectasis diagnosis in ≥2 follow-up visits after the index date were enrolled in the study, and NTM-LD occurrence and its association with pneumonia and hospitalization within 1 year were analyzed. Results: Of the 2717 participants, 79 (2.9%) had NTM-LD diagnosed. The factors associated with NTM-LD included hemoptysis, postinfectious bronchiectasis, a tree-in-bud score ≥2, a modified Reiff score ≥4, and chronic obstructive pulmonary disease (adjusted odds ratios, 1.80, 2.36, 1.78, 2.95, and 0.51, respectively). Compared with patients in the non-NTM group, those with NTM-LD had higher rates of hospitalization (15.9% vs 32.9%; P < .001) and pneumonia (9.8% vs 20.3%; P = .003). Pseudomonas aeruginosa was the most common microorganism in those with NTM-LD and those in the non-NTM group (10.1% vs 7.8%; P = .40). However, compared with those in the non-NTM group, Acinetobacter baumannii and Escherichia coli were more prevalent in patients with NTM-LD (0.7% vs 3.8% [P = .03%] and 1.0% vs 3.8% [P = .05], respectively). Conclusions: Postinfectious bronchiectasis with hemoptysis, higher radiological involvement, and a tree-in-bud pattern were associated with NTM-LD risk. The rate of A baumannii and E coli coisolation was higher in bronchiectasis populations with NTM-LD.

Leaf carbon, nitrogen, and phosphorus ecological stoichiometry of grassland ecosystems along 2,600-m altitude gradients at the Northern slope of the Tianshan Mountains.

Ecological stoichiometry of terrestrial ecosystems has been a hot issue in current research, with intense focus on the proportional relationships of nutritional elements within plants and between plants and their environment. To clarify these relationships along continuous environmental gradients is essential for a more comprehensive understanding how plants adapt to a changing environment. In arid regions, the varying plant and soil types along altitude gradients offer a unique opportunity to examine the vertical spectrum of plant and soil ecological stoichiometry. In this study, the northern slope of the Tianshan Mountains was selected as the study area to explore the carbon (C), nitrogen (N), and phosphorus (P) ecological stoichiometric characteristics of herbaceous plants along 900-m-3,500-m altitude gradients. We also investigated the variation of ecological stoichiometric characteristics among different grassland types. The results indicated that the mean C, N, and P in leaf of grassland were 342.95 g·kg-1-557.73 g·kg-1, 6.02 g·kg-1-20.97 g·kg-1, and 0.71 g·kg-1-3.14 g·kg-1, respectively. There was no significant change in leaf carbon content along the elevation gradient, and the highest and lowest leaf C concentrations were in the upland meadow and the semidesert grasslands. Both N and P concentrations obtained their highest value in the meadow steppe. The P concentration gradually increased in desert and semidesert grasslands and reached the highest value in the meadow steppe, and then decreased to the lowest value in the upland meadow and subsequently increased in the alpine meadow. The ranges of the C:N ratio, C:P ratio, and N:P ratio were 16.36-155.53, 109.36-786.52, and 2.58-17.34, respectively. Due to fluctuations in the P concentration, the C:P ratio and N:P ratio reached the lowest value in the meadow steppe and obtained their highest value in the upland meadow. Redundancy analysis showed that temperature was the dominant factor affecting the C, N, and P ecological stoichiometry of herbaceous plants, followed by soil organic carbon, mean annual precipitation, soil pH, and soil electrical conductivity. Corresponding results could enhance predictive models of nutrient cycling and ecosystem responses to climate change, particularly in arid and semiarid regions.

A visualized and bibliometric analysis of nursing research during the COVID-19 pandemic.

BACKGROUND: The global spread of Coronavirus disease 2019 (COVID-19) has been increasing since December 2019. A total of 8460 publications were obtained from the Web of Science Core Collection from 2019 to 2023, providing insights into the progress of nursing research throughout the COVID-19 pandemic. METHODS: Bibliometric analysis was conducted on these articles using CiteSpace. The analysis focused on examining the distribution of these publications in terms of space and time, distribution of authors, subject categories, distribution of topics, and cited references. RESULTS: These results may be explained from 3 perspectives. Initially, the number of yearly publications on nursing research consistently increased during the COVID-19 pandemic. Furthermore, a co-occurrence analysis of the countries and the authors revealed that certain countries, including the United States, China, and England, have successfully implemented organized and standardized nursing models. These countries also have well-developed and established nursing research systems. Notably, academic communities in specific regions, such as the team led by MD Stefan Gravenstein, Mor Vincent, and White Elizabeth at Brown University in the United States, have emerged as leaders in this field. Furthermore, examining the papers' subject categories and topic distribution indicate that nursing during the COVID-19 pandemic has been predominantly interdisciplinary, encompassing various disciplines such as clinical medicine, essential medicine, psychology, public health management, and even telematics science. CONCLUSION SUBSECTIONGS: Our study provided valuable insights into acquiring knowledge on nursing research during the COVID-19 pandemic, pinpointed possible partners for researchers interested in nursing, and uncovered prevalent research patterns and popular subjects.

DeepEMC-T2 mapping: Deep learning-enabled T2 mapping based on echo modulation curve modeling.

PURPOSE: Echo modulation curve (EMC) modeling enables accurate quantification of T2 relaxation times in multi-echo spin-echo (MESE) imaging. The standard EMC-T2 mapping framework, however, requires sufficient echoes and cumbersome pixel-wise dictionary-matching steps. This work proposes a deep learning version of EMC-T2 mapping, called DeepEMC-T2 mapping, to efficiently estimate accurate T2 maps from fewer echoes. METHODS: DeepEMC-T2 mapping was developed using a modified U-Net to estimate both T2 and proton density (PD) maps directly from MESE images. The network implements several new features to improve the accuracy of T2/PD estimation. A total of 67 MESE datasets acquired in axial orientation were used for network training and evaluation. An additional 57 datasets acquired in coronal orientation with different scan parameters were used to evaluate the generalizability of the framework. The performance of DeepEMC-T2 mapping was evaluated in seven experiments. RESULTS: Compared to the reference, DeepEMC-T2 mapping achieved T2 estimation errors from 1% to 11% and PD estimation errors from 0.4% to 1.5% with ten/seven/five/three echoes, which are more accurate than standard EMC-T2 mapping. By incorporating datasets acquired with different scan parameters and orientations for joint training, DeepEMC-T2 exhibits robust generalizability across varying imaging protocols. Increasing the echo spacing and including longer echoes improve the accuracy of parameter estimation. The new features proposed in DeepEMC-T2 mapping all enabled more accurate T2 estimation. CONCLUSIONS: DeepEMC-T2 mapping enables simplified, efficient, and accurate T2 quantification directly from MESE images without dictionary matching. Accurate T2 estimation from fewer echoes allows for increased volumetric coverage and/or higher slice resolution without prolonging total scan times.

Suboptimal reporting of randomized controlled trials on non-pharmacological therapies in Chinese medicine.

With the successive release of the CONSORT extensions for acupuncture, moxibustion, cupping, and Tuina/massage, this review aims to assess the reporting characteristics and quality of randomized controlled trials (RCTs) based on these specific guidelines. A comprehensive review was conducted by searching multiple databases, including Embase, Ovid MEDLINE(R), All EBM Reviews, AMED, CNKI, VIP Chinese Medical Journal Database, and Wanfang Data, for publications from January 1 to December 31, 2022. Two reviewers independently evaluated the eligibility of the records, extracted predetermined information, and assessed the reporting based on the STRICTA, STRICTOM, STRICTOC, and STRICTOTM checklists. Among the included 387 studies (acupuncture, 213; Tuina/massage, 85; moxibustion, 73; cupping, 16), the overall reporting compliance averaged 56.0%, with acupuncture leading at 62.6%, followed by cupping (60.2%), moxibustion (53.1%), and Tuina/massage (47.9%). About half of the evaluated items showed poor reporting (compliance rate < 65%). Notably, international journals demonstrated significantly higher reporting quality than Chinese journals (P < 0.05). Although acupuncture trials had relatively higher compliance rates, deficiencies persist in reporting non-pharmacological therapies of Chinese medicine, particularly in areas like treatment environment details and provider background information.