Copper Catalyzed Three-Component Ullmann C-S Coupling in PEG for the Synthesis of 6-Aryl/alkylthio-purines.

To tackle the environmental unfriendly issue in existing synthesis strategies for 6-substitued thiopurine derivatives, such as poor step economy, frequent use of malodorous organic sulfur starting materials, toxic organic solvents, and equivalent dosage of base, we have developed a CuI-catalyzed base-free three-component Ullmann C-S coupling synthetic strategy, featured using inorganic salt Na2S as the sulfur source and nontoxic PEG-600 as the solvent. The newly developed strategy is particularly effective for the synthesis of 6-arylthiopurines. The high catalytic efficiency in PEG-600 can be rationalized by the high soluble ability of CuI catalyst, likely due to the presence of multiple oxygen coordination sites in PEG.

A General Synthesis of Cross-Conjugated Enynones through Pd Catalyzed Sonogashira Coupling with Triazine Esters.

The palladium-catalyzed Sonogashira coupling of α, ß-unsaturated acid derivatives offers a diversity-oriented synthetic strategy for cross-conjugated enynones. However, the susceptibility of the unsaturated C-C bonds adjacent to the carbonyl group toward Pd catalysts makes the direct conversion of α, ß-unsaturated derivatives as acyl electrophiles to cross-conjugated ketones rare. This work presents a highly selective C-O activation approach to prepare cross-conjugated enynones using α, ß-unsaturated triazine esters as acyl electrophiles. Under base and phosphine ligand-free conditions, NHC-Pd(II)-Allyl precatalyst alone catalyzed the cross-coupling of α, ß-unsaturated triazine esters with terminal alkynes efficiently, yielding 31 cross-conjugated enynones with diverse functional groups. This method demonstrates the potential of triazine-mediated C-O activation for preparing highly functionalized ketones.

The prevalence and influencing factors for compassion fatigue among nurses in Fangcang shelter hospitals: A cross-sectional study.

AIM: We aim to investigate the prevalence and associated factors for compassion fatigue among nurses in Fangcang Shelter Hospitals in Wuhan. Studies have shown that compassion fatigue was more common among nurses than other health-care providers, and its predictors were also different. In recent years, most studies have investigated compassion fatigue in emergency and oncology nurses, whereas there is little information on compassion fatigue among nurses from the frontline of Fangcang Shelter Hospitals during the COVID-19 pandemic. METHODS: A descriptive, cross-sectional design was used in this study. An online survey was conducted among nurses (n = 972) of five Fangcang Shelter Hospitals in Wuhan, Hubei province, China, from 6 March to 10 March 2020. A self-administered questionnaire including demographic information, work-related information, General Health Questionnaire, Perceived Stress Scale and Compassion Fatigue Scale was used. RESULTS: The prevalence of compassion fatigue among nurses in Fangcang Shelter Hospitals was moderate, and most cases were mild. There was a significant relationship between compassion fatigue and work-related factors, mental health and perceived stress among nurses working in Fangcang Shelter Hospitals. CONCLUSIONS: Various factors contribute to compassion fatigue, including lower job satisfaction and job adaptability, less praise from patients, more fear of infection and more perceived stress. A good working atmosphere, organizational support and psychological consultation are essential to alleviate nurses' compassion fatigue during the anti-epidemic period.

Factors associated with insomnia among Chinese front-line nurses fighting against COVID-19 in Wuhan: A cross-sectional survey.

AIM: To investigate the prevalence of insomnia among front-line nurses fighting against COVID-19 in Wuhan, China, and analyse its influencing factors. BACKGROUND: Insomnia is an important factor that can affect the health and work quality of nurses. However, there is a lack of big-sample studies exploring factors that affect the insomnia of nurses fighting against COVID-19. METHOD: This cross-sectional study using the Ascension Insomnia Scale, Fatigue Scale-14 and Perceived Stress Scale took place in March 2020. Participants were 1,794 front-line nurses from four tertiary-level general hospitals. RESULTS: The prevalence of insomnia among participants was 52.8%. Insomnia was predicted by gender, working experience, chronic diseases, midday nap duration, direct participation in the rescue of patients with COVID-19, frequency of night shifts, professional psychological assistance during the pandemic, negative experiences (such as family, friends or colleagues being seriously ill or dying due to COVID-19), the degree of fear of COVID-19, fatigue and perceived stress. CONCLUSION: The level of insomnia among participants was higher than the normal level. Interventions based on influencing factors should be implemented to ensure nurses' sleep quality. IMPLICATIONS FOR NURSING MANAGEMENT: An in-depth understanding of the influencing factors of insomnia among front-line nurses can help nurse managers develop solutions to improve front-line nurses' sleep quality, which will enhance the physical and mental conditions of nurses and promote the quality of care.

Developing Graphene-Based Nanohybrids for Electrochemical Sensing.

Graphene-based nanohybrid is considered to be the most promising nanomaterial for electrochemical sensing applications due to the defects created on the graphene oxide layers. These defects provide graphene oxide unique properties, such as excellent conductivity, large specific surface area, and electrocatalytic activity. These unique properties encourage scientists to develop novel graphene-based nanohybrids and improve the sensing efficiency. This review, therefore, addresses this topic by comprehensively discussing the strategies to fabricate novel graphene based nanohybrids with high sensitivity. The combinations of graphene with various nanomaterials, such as metal nanoclusters, metal compound nanoparticles, carbon materials, polymers and peptides, in the direction of electrochemical sensing, were systematically analyzed. Meanwhile, the challenges in the functional design and application of graphene-based nanohybrids were described and the reasonable solutions were proposed.

Characteristics of Infectious Keratitis in Bandage Contact Lens Wear Patients.

OBJECTIVE: The aim of this study was to determine the characteristics of infectious keratitis in patients wearing bandage contact lenses (BCLs). METHODS: The BCL-related infectious keratitis cases were reviewed at the eye center of the Second Affiliated Hospital at the Zhejiang University School of Medicine from January 2015 to August 2018. Detailed information about the patients with infectious keratitis was collected, including the age, gender, clinical characteristics, culture results, and other measures. All the data analyses were performed using IBM SPSS Statistics for Windows version 24.0. RESULTS: From January 2015 until August 2018, 6,385 eyes of 6,188 patients, including 3,410 males and 2,778 females, received BCLs at our hospital. The mean age of these patients was 48.10±20.81 years (range=15-78 years). The mean BCL wearing time was 18.98±23.72 days (range=1-58 days). Eight patients (0.13%) with infectious keratitis were identified, and the mean age of these patients was 54.33±28.14 years (range=16-75 years). Seven of the infectious keratitis patients were older than 50 years, and one patient was 16 years old. The infectious keratitis incidence rate of the older patients (≥50 years) was significantly higher than that of the young patients (<50 years) (χ=9.647, P=0.002). There was a higher postkeratoplasty risk of BCL-related infectious keratitis than that in the corneal epithelial defect (χ=21.371, P=0.000) and pterygium surgery (χ=16.037, P=0.000) cases, but not in the corneal collagen cross-linking cases (χ=1.792, P=0.181). The mean onset time of BCL-related infectious keratitis was 22.63±18.72 days (range=3-58 days) after wearing the BCLs. Among these 8 infected patients, 3 were noncompliant with their eye drop use and 2 extended their BCL wearing time past 30 days. CONCLUSION: Bandage CL-related infectious keratitis is more likely to occur in older patients. The most common risk factor for BCL-related infectious keratitis was postkeratoplasty use. Overall, appropriate indications, good compliance, and close follow-up attention are required for BCL wearers.

Catalytic activity of CuxMnxFe3-2xO4/multi-walled carbon nanotubes (0 ≤ x ≤ 0.1) nanocomposites for p-nitrophenol degradation in catalyst/H2O2 system.

Heterogeneous Fenton oxidation has become a very important wastewater-treatment method and its catalyst is crucial for good treatment effect. In order to improve the catalytic properties, the Cu and Mn elements were doped for CuxMnxFe3-2xO4/multi-walled carbon nanotubes (CuxMnxFe3-2xO4/MWCNTs) nanocomposites (0 ≤ x ≤ 0.1) by co-precipitation method. The structure, morphology and surface properties of the nanocomposites were characterized by X-ray powder diffractometer (XRD), N2-physisorption analysis, transmission electron microscope (TEM), and X-ray photoelectron spectroscopy (XPS). The CuxMnxFe3-2xO4/MWCNTs nanocomposites were used as heterogeneous Fenton catalysts for p-nitrophenol (p-NP) degradation. The catalytic performances of the Cu and/or Mn doped nanocomposites have remarkable improvement compared with Fe3O4/MWCNTs nanocomposite, especially for both Cu and Mn doped catalyst. For CuxMnxFe3-2xO4/MWCNTs nanocomposites, the catalytic performance increases with increasing x value and reaches a maximum at 0.075 of x value. At optimal condition, the p-NP conversion rate reaches 96.4% in 10 min for Cu0.075Mn0.075Fe2.85O4/MWCNTs nanocomposite. However, the mentioned rate for Fe3O4/MWCNTs catalyst is only 14.5%. The chemical oxygen demand (COD) removal rates in 120 min for Cu0.075Mn0.075Fe2.85O4/MWCNTs and Fe3O4/MWCNTs catalysts are 82.7% and 67.3%, respectively. Furthermore, the p-NP conversion and COD removal rates of Cu0.075Mn0.075Fe2.85O4/MWCNTs nanocomposite still keep at 94.4% and 70.3% after five-time reuse, respectively. This catalyst shows good reusability for p-NP degradation and is very easy to recover from the treated water.

Recent progress in TiO2-biochar-based photocatalysts for water contaminants treatment: strategies to improve photocatalytic performance.

Toxic organic pollutants in wastewater have seriously damaged human health and ecosystems. Photocatalytic degradation is a potential and efficient tactic for wastewater treatment. Among the entire carbon family, biochar has been developed for the adsorption of pollutants due to its large specific surface area, porous skeleton structure, and abundant surface functional groups. Hence, combining adsorption and photocatalytic decomposition, TiO2-biochar photocatalysts have received considerable attention and have been extensively studied. Owing to biochar's adsorption, more active sites and strong interactions between contaminants and photocatalysts can be achieved. The synergistic effect of biochar and TiO2 nanomaterials substantially improves the photocatalytic capacity for pollutant degradation. TiO2-biochar composites have numerous attractive properties and advantages, culminating in infinite applications. This review discusses the characteristics and preparation techniques of biochar, presents in situ and ex situ synthesis approaches of TiO2-biochar nanocomposites, explains the benefits of TiO2-biochar-based compounds for photocatalytic degradation, and emphasizes the strategies for enhancing the photocatalytic efficiency of TiO2-biochar-based photocatalysts. Finally, the main difficulties and future advancements of TiO2-biochar-based photocatalysis are highlighted. The review gives an exhaustive overview of recent progress in TiO2-biochar-based photocatalysts for organic contaminants removal and is expected to encourage the development of robust TiO2-biochar-based photocatalysts for sewage remediation and other environmentally friendly uses.

Motivating factors for physical activity participation among individuals with chronic obstructive pulmonary disease: A qualitative study applying the motivation, opportunity, and ability model.

OBJECTIVE: The study aims to explore the driving forces behind physical activity engagement among patients with chronic obstructive pulmonary disease, focusing on motivation, opportunity, and capability. DESIGN: A phenomenological qualitative study applied the motivation, opportunity, and capability model, conducted in two respiratory units of a Chinese university hospital. METHODS: Participants, selected by age, gender, and illness duration, included inpatients during the interview sessions and those recently discharged within six months. One-on-one semi-structured interviews were recorded, transcribed, and analyzed by the Colaizzi seven-step method. RESULTS: Seventeen participants diagnosed with chronic obstructive pulmonary disease for over one year aged between 66 (range: 42-96) participated. Three major themes were identified: Inspiring participation motivation-transitioning from recognizing significance to habit formation; Offering participation opportunities-reiterating demand for personalized strategies and ideal environmental settings; Enhancing participation capability-addressing strategies for overcoming fears, setting goals, ensuring safety, and adjusting activity levels. CONCLUSIONS: This research underscores the vital role of inspiring participation motivation, offering opportunities, and enhancing the capability for participation in effective engagement. Advocating increased attention from healthcare departments, fostering interdisciplinary collaboration, improving activity guidance and counseling effectiveness, and considering individual preferences can significantly benefit those patients with chronic obstructive pulmonary disease who hesitate or are unable to participate in physical activities, thereby increasing the dose of non-leisure time physical activity.

Correction: Motivating factors for physical activity participation among individuals with chronic obstructive pulmonary disease: A qualitative study applying the motivation, opportunity, and ability model.

[This corrects the article DOI: 10.1371/journal.pone.0303858.].

Validation of Baveno VII criteria for clinically significant portal hypertension by two-dimensional shear wave elastography.

BACKGROUND: The Baveno VII consensus proposed criteria for the non-invasively diagnosis of clinically significant portal hypertension (CSPH) in patients with compensated advanced chronic liver disease (cACLD). The performance of Baveno VII criteria for assessing CSPH by two-dimensional shear wave elastography (2D-SWE) had not been well validated. We aimed to validate the performance of Baveno VII criteria for rule-in and rule-out CSPH by 2D-SWE. METHOD: This is an international multicenter study including cACLD patients from China and Croatia with paired liver stiffness measurement (LSM), spleen stiffness measurement (SSM) by 2D-SWE, and hepatic venous pressure gradient (HVPG) were included. CSPH was defined as HVPG ≥ 10 mmHg. RESULT: A total of 146 patients with cACLD were enrolled, and finally 118 patients were included in the analysis. Among them, CSPH was documented in 79 (66.9%) patients. Applying the Baveno VII criteria for rule-out CSPH by 2D-SWE, [LSM ≤ 15 kPa and platelet count ≥ 150 × 109/L] OR SSM < 21 kPa, could exclude CSPH with sensitivity > 90% (93.5 or 98.7%) but negative predictive value < 90% (74.1 or 85.7%). Using the Baveno VII criteria for rule-in CSPH by 2D-SWE, LSM ≥ 25 kPa OR SSM ≥ 50 kPa, could diagnose CSPH with 100% specificity and 100% positive predictive values. CONCLUSION: Baveno VII criteria by 2D-SWE showed a good diagnostic performance for ruling in but not for ruling out CSPH, which might become an emerging non-invasive elastography tool to select the patients who needed non-selective beta blocker therapy.

[National Natural Science Foundation of China promotes the development of Chinese medicine in China--an analysis of Chinese medicine project funded by National Natural Science Foundation of China in the last decade].

In recent years, projects funded by the Division V III of Health Sciences of the National Natural Science Foundation of China (NSFC) increased steadily, which enhanced the process of modernization of Chinese medicine (CM). We analyzed CM projects funded by NSFC during 2003 -2012, which aimed to provide reference to experts in the CM field.

[Applications and approved projectsof general program, young scientist fund and fund for less developedregion of national natural science funds in discipline of Chinese materia medica, NSFC in 2012].

The applications accepted and approved by general program, young scientist fund and fund for less developed region of national natural science funds in the discipline of Chinese materia medica, NSFC in 2012 have been introduced. The research contents of the funded projects in the popular research areas have been summarized and the problems in the applications have been analyzed to give a reference to the scientists in the field of Chinese materia medica.

Research progress on diagnosing retinal vascular diseases based on artificial intelligence and fundus images.

As the only blood vessels that can directly be seen in the whole body, pathological changes in retinal vessels are related to the metabolic state of the whole body and many systems, which seriously affect the vision and quality of life of patients. Timely diagnosis and treatment are key to improving vision prognosis. In recent years, with the rapid development of artificial intelligence, the application of artificial intelligence in ophthalmology has become increasingly extensive and in-depth, especially in the field of retinal vascular diseases. Research study results based on artificial intelligence and fundus images are remarkable and provides a great possibility for early diagnosis and treatment. This paper reviews the recent research progress on artificial intelligence in retinal vascular diseases (including diabetic retinopathy, hypertensive retinopathy, retinal vein occlusion, retinopathy of prematurity, and age-related macular degeneration). The limitations and challenges of the research process are also discussed.

Palladium-catalysed Suzuki-Miyaura coupling of α,ß-unsaturated superactive triazine esters.

Palladium-catalysed Suzuki-Miyaura couplings of α,ß-unsaturated acid derivatives are challenging due to the susceptibility of their CC bonds adjacent to carbonyl groups. In this work, we describe a highly selective C-O activation approach to this transformation using superactive triazine esters and organoborons as coupling partners. 42 α,ß-unsaturated ketones with diverse functional groups have been prepared with this method. The mechanistic investigation unveiled that the dual function of triazine for activating the C-O bond and stabilizing non-covalent interactions between the catalyst and substrate is critical for the reaction's success. The method's efficiency, functional group compatibility and unique mechanism make it a valuable alternative to classic methods.

Research progress in artificial intelligence assisted diabetic retinopathy diagnosis.

Diabetic retinopathy (DR) is one of the most common retinal vascular diseases and one of the main causes of blindness worldwide. Early detection and treatment can effectively delay vision decline and even blindness in patients with DR. In recent years, artificial intelligence (AI) models constructed by machine learning and deep learning (DL) algorithms have been widely used in ophthalmology research, especially in diagnosing and treating ophthalmic diseases, particularly DR. Regarding DR, AI has mainly been used in its diagnosis, grading, and lesion recognition and segmentation, and good research and application results have been achieved. This study summarizes the research progress in AI models based on machine learning and DL algorithms for DR diagnosis and discusses some limitations and challenges in AI research.

Unpredictable chronic mild stress promotes atherosclerosis in high cholesterol-fed rabbits.

OBJECTIVES: Chronic psychological stress is associated with an increased risk of atherosclerosis in humans. Experimental studies using various stress models have yielded controversial results. This study investigated the effects of unpredictable chronic mild stress (UCMS) on atherogenesis in New Zealand white rabbits. METHODS: Rabbits were fed with a cholesterol-enriched (1%) diet for 4 to 16 weeks, with or without concomitant UCMS treatment. Atherosclerosis was assessed in the abdominal aorta by serial sectioning and morphological analysis. Expressions of inflammatory factors were measured with immunohistochemistry and quantitative polymerase chain reaction. Serum nitrate/nitrite levels were determined with Griess assay, and corticosterone and inflammatory markers were determined using enzyme-linked immunosorbent assay. RESULTS: High-cholesterol feeding resulted in hypercholesterolemia and formation of atherosclerotic plaques in the aorta. UCMS exposure significantly increased the plaque size (p = .003) and decreased the plaque stability (decreased the contents of collagen and smooth muscle and increased the amount of macrophage and matrix metalloproteinases). The proatherogenic effects of UCMS were unrelated to changes in serum cholesterol level but accompanied by increased blood pressure (p < .001) and vascular inflammation (up-regulation of tumor necrosis factor α, C-reactive protein, and monocyte chemoattractant protein 1, all p values < .01). Serum concentrations of nitrate/nitrite were lower in UCMS-treated animals (p = .01). Vessels from UCMS-treated animals exhibited augmented phosphorylation of p38 and c-Jun N-terminal kinase and activation of nuclear factor κB. CONCLUSIONS: Chronic psychological stress may contribute to the development of atherosclerosis by enhancing vascular inflammation and decreasing endothelial nitric oxide bioavailability.

Genetic dissection of glutathione S-transferase omega-1: identification of novel downstream targets and Alzheimer's disease pathways.

Alzheimer's disease (AD) is affected by genetic factors. Polymorphisms in the glutathione S-transferase omega-1 (Gsto1) gene have been shown by genetic correlation analyses performed in different ethnic populations to be genetic risk factors for AD. Gene expression profile data from BXD recombinant inbred mice were used in combination with genetic and bioinformatic analyses to characterize the mechanisms underlying regulation of Gsto1 variation regulation and to identify network members that may contribute to AD risk or progression. Allele-specific assays confirmed that variation in Gsto1 expression is controlled by cis-expression quantitative trait loci. We found that Gsto1 mRNA levels were related to several central nervous system traits, such as glial acidic fibrillary protein levels in the caudate putamen, cortical gray matter volume, and hippocampus mossy fiber pathway volume. We identified 2168 genes whose expression was highly correlated with that of Gsto1. Some genes were enriched for the most common neurodegenerative diseases. Some Gsto1-related genes identified in this study had previously been identified as susceptibility genes for AD, such as APP, Grin2b, Ide, and Psenen. To evaluate the relationships between Gsto1 and candidate network members, we transfected astrocytes with Gsto1 siRNA and assessed the effect on putative downstream effectors. We confirmed that knockdown of Gsto1 had a significant influence on Pa2g4 expression, suggesting that Pa2g4 may be a downstream effector of Gsto1, and that both genes interact with other genes in a network during AD pathogenesis.

Advances in artificial intelligence applications for ocular surface diseases diagnosis.

In recent years, with the rapid development of computer technology, continual optimization of various learning algorithms and architectures, and establishment of numerous large databases, artificial intelligence (AI) has been unprecedentedly developed and applied in the field of ophthalmology. In the past, ophthalmological AI research mainly focused on posterior segment diseases, such as diabetic retinopathy, retinopathy of prematurity, age-related macular degeneration, retinal vein occlusion, and glaucoma optic neuropathy. Meanwhile, an increasing number of studies have employed AI to diagnose ocular surface diseases. In this review, we summarize the research progress of AI in the diagnosis of several ocular surface diseases, namely keratitis, keratoconus, dry eye, and pterygium. We discuss the limitations and challenges of AI in the diagnosis of ocular surface diseases, as well as prospects for the future.