Several studies have demonstrated that vitamin E intake is negatively associated with the development of several diseases, but the relationship between vitamin E intake and COPD in different groups ...of people is not clear. The aim was to investigate the relationship between vitamin E intake and COPD in different groups of people.
This study used data from NHANES (National Health and Nutrition Examination Survey) from 2013-2018. A final total of 4,706 participants were included, univariate versus multivariate logistic regression and restricted cubic spline models adjusted for confounders were used to explore the relationship between vitamin E intake and COPD, and subgroup analyses were conducted to assess whether there are differences in the relationship between vitamin E intake and COPD in different populations or conditions.
After adjusting for potential confounders, higher vitamin E intake showed a significant negative association with COPD Model 1(unadjusted covariates, OR = 0.48;95% CI:0.33-0.70;
< 0.001), Model 2(adjusted for age, sex, and race, OR = 0.48;95% CI:0.31-0.73;
< 0.01), and Model 3(adjusted for all covariates, OR = 0.57;95% CI:0.36-0.91;
= 0.02). And a restricted cubic spline curve showed a significant negative correlation between vitamin E intake and COPD (
for nonlinear = 0.2036). In the subgroup analysis, we found a negative association between vitamin E intake and COPD in all subgroups as well.
After analyzing data based on the NHANES database from 2013-2018, the results showed that vitamin E intake among U.S. adults was well below the recommended levels and that higher vitamin E intake was negatively associated with COPD incidence.
is now one of the leading lethal mushroom species in China, with a mortality rate of more than 50%. The typical clinical manifestation of
poisoning is rhabdomyolysis, and we are unaware of previous ...reports of
-associated hemolysis.
Herein we report a cluster of five patients with confirmed
poisoning. Four of the patients who ingested sun-dried
never developed rhabdomyolysis. However, in one patient, acute hemolysis developed on the second day following ingestion and was associated with a fall in hemoglobin concentration and a rise in unconjugated bilirubin concentration. Further investigation revealed that the patient had glucose-6-phosphate dehydrogenase deficiency.
This case cluster suggests that the toxin of
could cause hemolysis in a susceptible patient and warrants further study.
Celotno besedilo
Dostopno za:
DOBA, IJS, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
The determination of biological mechanisms and biomarkers related to intracranial aneurysm (IA) rupture is of utmost significance for the development of effective preventive and therapeutic ...strategies in the clinical field.
GSE122897 and GSE13353 datasets were downloaded from Gene Expression Omnibus. Data extracted from GSE122897 were used for analyzing differential gene expression, and consensus clustering was performed to identify stable molecular subtypes. Clinical characteristics were compared between subgroups, and fast gene set enrichment analysis and weighted gene coexpression network analysis were performed. Hub genes were identified via least absolute shrinkage and selection operator analysis. Predictive models were constructed based on hub genes using the Light Gradient Boosting Machine, eXtreme Gradient Boosting, and logistic regression algorithm. Immune cell infiltration in IA samples was analyzed using Microenvironment Cell Population counter, CIBERSORT, and xCell algorithm. The correlation between hub genes and immune cells was analyzed. The predictive model and immune cell infiltration were validated using data from the GSE13353 dataset.
A total of 43 IA samples were classified into 2 subgroups based on gene expression profiles. Subgroup I had a higher risk of rupture, while 70% of subgroup II remained unruptured. In subgroup I, specific genes were associated with inflammation and immunity, and weighted gene coexpression network analysis revealed that the black module genes were linked to IA rupture. We identified 4 hub genes (spermine synthase, macrophage receptor with collagenous structure, zymogen granule protein 16B, and LIM and calponin-homology domains 1), which constructed predictive models with good diagnostic performance in differentiating between ruptured and unruptured IA samples. Monocytic lineage was found to be a significant factor in IA rupture, and the 4 hub genes were linked to monocytic lineage (P < 0.05).
We reveal a new molecular subtype that can reflect the actual pathological state of IA rupture, and our predictive models constructed by machine learning algorithms can efficiently predict IA rupture.
Emotion recognition based on neural signals is a promising technique for the detection of patients' emotions for enhancing healthcare. However, emotion-related neural signals, such as from functional ...near infrared spectroscopy (fNIRS), can be affected by various psychophysiological and environmental factors. There is a paucity of literature regarding data instability and classification instability in fNIRS-based emotion recognition systems, phenomenon which may lead to user dissatisfaction and abandonment. We collected data in an fNIRS-based 2-class emotion recognition test-retest experiment (3 week interval) with visual stimuli emotion induction to examine data instability and its impact on classification accuracy. We found a 22.2% average deterioration of emotion classification accuracy between the two sessions, suggesting that classification instability is a serious problem. We found that the changes in the distributions of the selected neural signal features, as evaluated by Kullback-Leibler (KL) divergence, were a likely cause of the accuracy decline. We analyzed the data instability and our results showed that instability of spatial activation patterns and instability of the hemodynamic response in the most activated region are correlated with accuracy decline. Finally, we propose a method for mitigating classification instability in fNIRS-based emotion recognition based on feature selection for stable features, the first such method to our knowledge. This new feature selection criterion considers not only the separability of features (evaluated by Fisher Score) but also their stability over time (evaluated by KL divergence between feature distributions at different time points). Testing showed that this method led to an approximately 5% improvement in cross-session generalization accuracy.
G-protein-coupled receptors (GPCRs) are seven membrane-spanning proteins and regulate many important physiological processes, such as vision, neurotransmission, immune response and so on. ...GPCRs-related pathways are the targets of a large number of marketed drugs. Therefore, the design of a reliable computational model for predicting GPCRs from amino acid sequence has long been a significant biomedical problem. Chaos game representation (CGR) reveals the fractal patterns hidden in protein sequences, and then fractal dimension (FD) is an important feature of these highly irregular geometries with concise mathematical expression. Here, in order to extract important features from GPCR protein sequences, CGR algorithm, fractal dimension and amino acid composition (AAC) are employed to formulate the numerical features of protein samples. Four groups of features are considered, and each group is evaluated by support vector machine (SVM) and 10-fold cross-validation test. To test the performance of the present method, a new non-redundant dataset was built based on latest GPCRDB database. Comparing the results of numerical experiments, the group of combined features with AAC and FD gets the best result, the accuracy is 99.22% and Matthew's correlation coefficient (MCC) is 0.9845 for identifying GPCRs from non-GPCRs. Moreover, if it is classified as a GPCR, it will be further put into the second level, which will classify a GPCR into one of the five main subfamilies. At this level, the group of combined features with AAC and FD also gets best accuracy 85.73%. Finally, the proposed predictor is also compared with existing methods and shows better performances.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Russula subnigricans is now one of the leading lethal mushroom species in China, with a mortality rate of more than 50%. The typical clinical manifestation of Russula subnigricans poisoning is ...rhabdomyolysis, and we are unaware of previous reports of Russula subnigricans-associated hemolysis.
Herein we report a cluster of five patients with confirmed Russula subnigricans poisoning. Four of the patients who ingested sun-dried Russula subnigricans never developed rhabdomyolysis. However, in one patient, acute hemolysis developed on the second day following ingestion and was associated with a fall in hemoglobin concentration and a rise in unconjugated bilirubin concentration. Further investigation revealed that the patient had glucose-6-phosphate dehydrogenase deficiency.
This case cluster suggests that the toxin of Russula subnigricans could cause hemolysis in a susceptible patient and warrants further study.
Celotno besedilo
Dostopno za:
DOBA, IJS, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Semiconductor photocatalysts have been widely used for photochemical water splitting, purification of organic contaminants, and bacterial detoxification. However, most photocatalysts suffer greatly ...from photocorrosion under visible-light irradiation. Here we report a viable strategy to markedly improve photocorrosion resistance of photocatalysts by draping ultrathin yet highly impermeable graphene layers over a semiconductor CdS electrode. Remarkably, the average lifetime of three-layer-graphene-draped CdS photocatalyst is prolonged by 8 times compared to the as-prepared CdS counterpart without graphene draping. The introduction of graphene layers largely suppresses the charge carrier recombination of the CdS film and decreases the carrier transfer resistance at the graphene-draped CdS electrode/electrolyte interface, as revealed by the photoluminescence (PL) and electrochemical impedance spectroscopy studies, respectively, thereby leading to increased photocurrent and enhanced photocatalytic performance (i.e., a 2.5-fold increase in comparison to that in as-prepared CdS case). Our density functional theory calculations also show that electrons are readily transferred from CdS to graphene, correlating well with the PL measurement. The photocorrosion is mainly caused by oxidation reaction between CdS and O2 and H2O assisted with photogenerated holes, evidenced by X-ray photoelectron spectroscopy characterization. The draped graphene effectively prevents the direct contact between the CdS film and O2 and H2O, thus considerably retarding the photocorrosion of CdS upon visible-light exposure. This simple yet robust graphene-draping strategy for antiphotocorrosion of semiconductor photocatalysts is environmentally friendly as it prevents them from entering into the surrounding environment, thus eliminating the possible secondary pollution.
Neuromorphic visual systems have considerable potential to emulate basic functions of the human visual system even beyond the visible light region. However, the complex circuitry of artificial visual ...systems based on conventional image sensors, memory and processing units presents serious challenges in terms of device integration and power consumption. Here we show simple two-terminal optoelectronic resistive random access memory (ORRAM) synaptic devices for an efficient neuromorphic visual system that exhibit non-volatile optical resistive switching and light-tunable synaptic behaviours. The ORRAM arrays enable image sensing and memory functions as well as neuromorphic visual pre-processing with an improved processing efficiency and image recognition rate in the subsequent processing tasks. The proof-of-concept device provides the potential to simplify the circuitry of a neuromorphic visual system and contribute to the development of applications in edge computing and the internet of things.
•A new simple and efficient setup for single fiber pull-out test is designed.•A strong slip-hardening behavior of PE fiber during the fiber pull-out is revealed.•The strain-hardening behavior and ...high ductility of composite can be achieved when the PE fiber volume fraction is 1%.•ECC incorporated 1.5% volume fraction of PE fiber exhibits a tensile strain capacity of 9.38%.
A series of experiments were conducted to study the effect of polyethylene (PE) fiber content (0%, 1%, 1.5% and 2% volume fraction) on mesoscopic and macroscopic behaviors of the engineered cementitious composites (ECC). As reference, the mechanical properties of mortar reinforced with steel fibers of 2 vol% was also discussed. Compressive test and bending test demonstrated that ECCs incorporated various fiber contents exhibit exceeding and stable ductility. Uniaxial tensile test result showed that ECCs maintain strong strain-hardening and multi-cracking characteristics even if the fiber volume fraction is reduced to 1%. On mesoscopic scale, single-crack tension test indicated that the fiber bridging complementary energy is significantly enhanced with the increase in fiber content, while the fiber bridging strength is firstly increased and then decreased. Furthermore, single fiber pull-out test was used to investigate the fiber-matrix interfacial behavior and characterized the slip-hardening behavior of PE fiber. Finally, discussions on pseudo-strain hardening indexes and critical fiber volume fraction indicated that the abundant tensile capacity of ECC is the key factor for the possibility of reducing fiber content without losing tensile strain-hardening and multi-cracking characteristics.
Nonvolatile optoelectronic memories integrated with the functions of sensing, data storage, and data processing are promising for the potential Internet of things (IoT) applications. To meet the ...requirements of IoT devices, multifunctional memory devices with low power consumption and secure data storage are highly desirable. This study demonstrates an optoelectronic resistive switching memory integrated with sensing and logic operations by adopting organic–inorganic hybrid CH3NH3PbI3−xClx perovskites, which possess unusual defect physics and excellent light absorption. The CH3NH3PbI3−xClx cell exhibits low operation voltage of 0.1 V with the assistance of light illumination, long‐term retention property, and multiple resistance states. Its unique optoelectronic characteristics enable to perform logic operation for inputting one electrical pulse and one optical signal, and detect the coincidence of electrical and optical signal as well. This design provides possibilities for smart sensor in IoT application.
Optoelectronic CH3NH3PbI3−xClx perovskite resistive switching memory is designed and fabricated. The memory cell exhibits a low operation voltage of 0.1 V with the assistance of light illumination, long‐term retention, and light sensing properties, and can perform logic operations by inputting electrical and optical signals. This device provides possibilities for reducing the complexity in smart sensor design for Internet of things applications.
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