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Energy metabolic reprogramming has recently been recognized as an important hallmark of tumor metabolic biology, and tumor cells can be manipulated to obtain rapid growth, immune evasion and apoptosis, which play an important role in tumor development. Enhanced glycolysis is the main source of energy required for tumorigenesis, development and metastasis in the tumor microenvironment, and Warburg suggested that tumor cells preferentially choose glycolysis as the main pathway to provide energy even under aerobic conditions, but the mechanisms and causes of this metabolic alteration remain unclear. PFKFB3 is an important activator of glycolysis and plays an important role in carcinogenesis, including Tumor cytogenesis, metastasis, drug resistance and alteration of the tumor microenvironment. In this review, we summarize the role of PFKFB3 in different tumor types and its effects on the tumor microenvironment, as well as the signaling pathways through which PFKFB3 acts in tumors, suggesting PFKFB3 as a potential anti-tumor therapeutic target.

Background Gastric cancer is a common malignant tumor of digestive system with high morbidity and mortality. Reprogramming of glucose metabolism plays an important role in the occurrence and immune infiltration of gastric cancer.PFKFB3 is an efficient allosteric activator of glycolysis.Therefore, an in-depth understanding of PFKFB3 expression in the gastric cancer microenvironment and its effect on immune cells may help to find new ways to combat gastric cancer, thereby promoting existing therapeutic therapies. Methods We evaluated the expression of PFKFB3 in gastric cancer, its relationship with immune invasion and the value of clinical prognosis by a series of databases such as TCGA (Cancer Genome Atlas) and GEO (Gene Expression Omnibus) and in vitro and in vivo experiments. Results PFKFB3 was overexpressed in gastric cancer, up-regulation of PFKFB3 usually predicted poor prognosis, and high PFKFB3 expression in gastric cancer was significantly associated with poor overall survival (OS) and progression-free survival (PFS)).In addition, high expression of PFKFB3 correlates with immune cell infiltration and associated immune markers in the gastric cancer microenvironment.In vitro and in vivo experiments showed that high expression of PFKFB3 could promote the growth and metastasis of gastric cancer cells, and PFKFB3 antagonist treatment could delay the growth of gastric cancer cells. Conclusion High expression of PFKFB3 leads to poor prognosis of gastric cancer, that is, shorter OS and PFS.PFKFB3 is associated with levels of immune infiltration in gastric cancer patients, including B cells, CD4 + T cells, CD8 + T cells, and macrophages.The results showed that PFKFB3 was associated with immune infiltration and could be used as a potential biomarker to predict the prognosis of gastric cancer.In addition, PFKFB3 expression may contribute to the regulation of gastric cancer macrophages, CD8 + T cells, TAM, Th1 cells and Treg, and is a potential biomarker for gastric cancer treatment, revealing the correlation between glucose metabolism reprogramming and gastric cancer immunotherapy.

Meniscus regeneration could be enhanced by targeting meniscus cells and mesenchymal stromal cells (MSCs) with the right growth factors. Combining these growth factors with the Collagen Meniscus Implant (CMI®) could accelerate cell ingrowth and tissue formation in the implant and thereby improve clinical outcomes. Using a transwell migration assay and a micro‐wound assay, the effect of insulin‐like growth factor‐1, platelet‐derived growth factor (PDGF), vascular endothelial growth factor (VEGF), transforming growth factor beta 1 (TGF‐β1), fibroblast growth factor, and platelet lysate (PL) on migration and proliferation of meniscus cells and MSCs was assessed. The formation of extracellular matrix under influence of the above‐mentioned growth factors was assessed after 28 days of culture of both MSCs and meniscus cells. As a proof of concept, the CMI® was functionalized with a VEGF binding peptide and coated with platelet‐rich plasma (PRP) for clinical application. Our results demonstrate that PDGF, TGF‐β1, and PL stimulate migration, proliferation, and/or extracellular matrix production of meniscus cells and MSCs. Additionally, the CMI® was successfully functionalized with a VEGF binding peptide and PRP which increased migration of meniscus cell and MSC into the implant. This study demonstrates proof of concept of functionalizing the CMI® with growth factor binding peptides. A CMI® functionalized with the right growth factors holds great potential for meniscus replacement after partial meniscectomy.

OBJECTIVE This study explored the multiple mediating effects of cancer threat appraisal, functional status, and symptom distress on the association between mindfulness and depression in colorectal cancer (CRC) patients at the transition stage after completing cancer treatments. METHODS A total of 90 CRC survivors who received cancer treatments within 3 months participated in this cross-sectional study. The functional status and symptom distress (EORTC-C30 and EORTC CR29), dispositional mindfulness (Five Facet Mindfulness Questionnaire), cancer threat appraisal ( Constructed Meaning Scale), and depressive symptoms (Beck Depression Inventory-II scale) were collected. The mediation and moderation analyses were conducted using the PROCESS macros for SPSS. RESULTS Survivors' dispositional mindfulness (γ = -0.49, p

A common strategy to improve the sensitivity of a biosensor for the detection of a low abundance analyte is to preconcentrate the analyte molecules before detection. A dual-functional gold–iron oxide core–satellite hybrid nanoparticle structure is proposed in this work to overcome the drawbacks of traditional sample pretreatment methods and the methods using non-magnetic nanomaterials for sample pretreatment. The new dual-functional hybrid nanoparticle structure can simultaneously serve as a signal reporter of a biorecognition event and a preconcentrator of a target at an extremely low concentration in a nanoplasmonic biosensor. By utilizing a fiber optic nanogold-linked sorbent assay in the fiber optic particle plasmon resonance (FOPPR) biosensor and an arbitrary DNA sequence as a target, we have demonstrated that the use of the new hybrid nanoparticle structure with magnetic preconcentration improves the limit of detection (LOD) for the DNA by 18 times as compared to the same method without magnetic preconcentration, so that the LOD for detecting the DNA can be as low as 2.6 fM. The new hybrid nanoparticle structure is easy to prepare and its use in the high-sensitivity and low-cost FOPPR biosensor provides vast opportunities in point-of-care applications.

The self-consistent field theory (SCFT) predicted the existence of a close-packed sphere phase over a narrow window in the phase diagram of a block copolymer (bcp). It however remains unclear wheth...

Literature has suggested numerous benefits of online learning. In this study, we focused on asynchronous online discussion in higher education. We defined effective online discussions as making soc...

A common strategy to improve the sensitivity of a biosensor for the detection of a low abundance analyte is to preconcentrate the analyte molecules before detection. A dual-functional gold-iron oxide core-satellite hybrid nanoparticle structure is proposed in this work to overcome the drawbacks of traditional sample pretreatment methods and the methods using non-magnetic nanomaterials for sample pretreatment. The new dual-functional hybrid nanoparticle structure can simultaneously serve as a signal reporter of a biorecognition event and a preconcentrator of a target at an extremely low concentration in a nanoplasmonic biosensor. By utilizing a fiber optic nanogold-linked sorbent assay in the fiber optic particle plasmon resonance (FOPPR) biosensor and an arbitrary DNA sequence as a target, we have demonstrated that the use of the new hybrid nanoparticle structure with magnetic preconcentration improves the limit of detection (LOD) for the DNA by 18 times as compared to the same method without magnetic preconcentration, so that the LOD for detecting the DNA can be as low as 2.6 fM. The new hybrid nanoparticle structure is easy to prepare and its use in the high-sensitivity and low-cost FOPPR biosensor provides vast opportunities in point-of-care applications.

Spherical micelles formed by block copolymers (bcps) are soft colloids capable of packing into three-dimensionally ordered lattice. Although close-packed sphere structure has been predicted to exist over a narrow region in the phase diagram, it remains unclear whether face-centered cubic (FCC) or hexagonal close packed (HCP) lattice is the stable close packing symmetry for the crystallographically equivalent bcp micelles, as they are essentially degenerated. The present study explores the lattice structure organized by the spherical micelles in bcp/homopolymer blends after erasing the solvent history involved in the blend preparation. The facts that the FCC structure developed in the solvent-cast blend transformed into HCP on heating and HCP phase was formed upon cooling from the disordered micelle phase attest that HCP was the favored close-packed lattice over FCC. The better thermodynamic stability of HCP phase was attributed to the more extensive connectivity of the octahedron voids in the lattice, which prescribed a higher overall translational entropy of the homopolymer chains localized in the voids for space filling.

Background Ischemia/reperfusion (I/R) injury causes the generation of many ROS such as H2O2 and leads to vascular thrombosis, which causes tissue damage. Purpose In this investigation, poly (lactideco-glycolide) (PLGA)-based nanoparticles are used for their anticoagulant and antioxidant properties in vascular therapy. Methods Both heparin and glutathione are entrapped on PLGA-stearylamine nanoparticles by layer-by-layer interactions. Results The drug release rate is successfully controlled with only 10.3% of the heparin released after 96 hours. An H2O2-responsive platform is also developed by combining silk fibroin and horse peroxidase to detect H2O2 in this drug delivery system. Besides, hyaluronic acid was decorated on the surface of nanoparticles to target the human bone marrow mesenchymal stem cells (hBMSCs) for cell therapy. The results of an in vitro study indicate that the nanoparticles could be taken up by hBMSCs within 2 hours and exocytosis occurred 6 hours after cellular uptake. Conclusion We propose that the multifunctional nanoparticles that are formed herein can be effectively delivered to the site of an I/R injury via the hBMSC homing effect. The proposed approach can potentially be used to treat vascular diseases, providing a platform for hBMSCs for the controlled delivery of a wide range of drugs.

Due to repeated observations of an outcome behavior in N-of-1 or single-case design (SCD) intervention studies, the occurrence of missing scores is inevitable in such studies. Approximately 21% of SCD articles published in five reputable journals between 2015 and 2019 exhibited evidence of missing scores. Missing rates varied by designs, with the highest rate (24%) found in multiple baseline/probe designs. Missing scores cause difficulties in data analysis. And inappropriate treatments of missing scores lead to consequences that threaten internal validity and weaken generalizability of intervention effects reported in SCD research. In this paper, we comprehensively review nine methods for treating missing SCD data: the available data method, six single imputations, and two model-based methods. The strengths, weaknesses, assumptions, and examples of these methods are summarized. The available data method and three single imputation methods are further demonstrated in assessing an intervention effect at the class and students’ levels. Assessment results are interpreted in terms of effect sizes, statistical significances, and visual analysis of data. Differences in results among the four methods are noted and discussed. The extensive review of problems caused by missing scores and possible treatments should empower researchers and practitioners to account for missing scores effectively and to support evidence-based interventions vigorously. The paper concludes with a discussion of contingencies for implementing the nine methods and practical strategies for managing missing scores in single-case intervention studies.

Homocysteine (Hcy) is a sulfur-containing amino acid that originated in methionine metabolism and the elevated level of Hcy in plasma is considered to be an independent risk factor for cardiovascular diseases (CVD). Endothelial dysfunction plays a major role in the development of CVD, while the potential mechanism of Hcy-induced endothelial dysfunction is still unclear. Here, in Hcy-treated endothelial cells, we observed the destruction of mitochondrial morphology and the decline of mitochondrial membrane potential. Meanwhile, the level of ATP was reduced and the reactive oxygen species was increased. The expressions of dynamin-related protein 1 (Drp1) and phosphate-Drp1 (Ser616) were upregulated, whereas the expression of mitofusin 2 was inhibited by Hcy treatment. These findings suggested that Hcy not only triggered mitochondrial dysfunction but also incurred an imbalance of mitochondrial dynamics in endothelial cells. The expression of mitochondrial calcium uniporter (MCU) was activated by Hcy, contributing to calcium transferring into mitochondria. Interestingly, the formation of mitochondria-associated membranes (MAMs) was increased in endothelial cells after Hcy administration. The inositol 1,4,5-triphosphate receptor (IP3R)-glucose-regulated protein 75 (Grp75)-voltage-dependent anion channel (VDAC) complex, which was enriched in MAMs, was also increased. The accumulation of mitochondrial calcium could be blocked by inhibiting with the IP3R inhibitor Xestospongin C (XeC) in Hcy-treated cells. Then, we confirmed that the mitochondrial dysfunction and the increased mitochondrial fission induced by Hcy could be attenuated after Hcy and XeC co-treatment. In conclusion, Hcy-induced mitochondrial dysfunction and dynamics disorder in endothelial cells were mainly related to the increase of calcium as a result of the upregulated expressions of the MCU and the IP3R-Grp75-VDAC complex in MAMs.

Using bike share could increase physical activity and improve health. This study used the social-ecological model to identify predictors of frequent bike share trips for different purposes. Participants residing in the U.S. were recruited via Amazon Mechanical Turk (MTurk). Self-report trip purposes were used to group participants into using bike share for commuting only (n = 260), social/entertainment only (n = 313), exercise only (n = 358), dual or triple-purpose (n = 501), and purposes other than commuting, social/entertainment, and exercise (n = 279). Results showed that at the intrapersonal level, perceived use of bike share to be helpful for increasing physical activity was a significant predictor for all groups, except for the other purpose group. Adjusting outdoor activity based on air quality was a significant predictor for the dual or triple-purpose group. At the interpersonal level, having four or more friends/family using bike share was a significant predictor for the other purpose group. At the community level, distance to the nearest bike share within acceptable range was a significant predictor for social/entertainment and dual or triple-purpose groups. The findings suggest that it is important to consider factors at multiple levels for predicting bike share usage. Moreover, health educators and policy makers should adopt different strategies for promoting bike share usage based on trip purposes.

Levels of circulating tumor DNA (ctDNA) in liquid biopsies may serve as a sensitive biomarker for real-time, minimally-invasive tumor diagnostics and monitoring. However, detecting ctDNA is challenging, as much fewer than 5% of the cell-free DNA in the blood typically originates from the tumor. To detect lowly abundant ctDNA molecules based on somatic variants, extremely sensitive sequencing methods are required. Here, we describe a new technique, CyclomicsSeq, which is based on Oxford Nanopore sequencing of concatenated copies of a single DNA molecule. Consensus calling of the DNA copies increased the base-calling accuracy ∼60x, enabling accurate detection of TP53 mutations at frequencies down to 0.02%. We demonstrate that a TP53-specific CyclomicsSeq assay can be successfully used to monitor tumor burden during treatment for head-and-neck cancer patients. CyclomicsSeq can be applied to any genomic locus and offers an accurate diagnostic liquid biopsy approach that can be implemented in point-of-care clinical workflows.

A silk fibroin composite film that can simultaneously scavenge and probe H2O2 in situ was developed for possibly examining local concentrations of H2O2 for biomedical applications. A multi-functional composite film (GDES) that consists of graphene oxide (G), a photothermally responsive element that was blended with polydopamine (PDA, D)/horseradish peroxidase (HRP, E) (or DE complex), and then GDE microaggregates were coated with silk fibroin (SF, S), a tyrosine-containing protein. At 37 &deg, C, the H2O2-scavenging ability of a GDES film in solution at approximately 7.5 &times, 10&minus, 3 &mu, mol H2O2/mg film was the highest compared with those of S and GS films. The intensities of UV-excitable blue fluorescence of a GDES film linearly increased with increasing H2O2 concentrations from 4.0 &mu, M to 80 &mu, M at 37 &deg, C. Interestingly, after a GDES film scavenged H2O2, the UV-excitable blue fluorescent film could be qualitatively monitored by eye, making the film an eye-probe H2O2 sensor. A GDES film enabled to heat H2O2-containing samples to 37 &deg, C or higher by the absorption of near-IR irradiation at 808 nm. The good biocompatibility of a GDES film was examined according to the requirements of ISO-10993-5. Accordingly, a GDES film was developed herein to scavenge and eye-probe H2O2 in situ and so it has potential for biomedical applications.

Likert-type items are commonly used in education and related fields to measure attitudes and opinions. Yet there is no consensus on how to analyze data collected from these items. In this paper, we first synthesized literature on strategies for analyzing Likert-type data and provided computing tools for these strategies. Secondly, to examine the use and analysis of Likert-type data in the field of educational technology, we reviewed 424 articles that were published in the journal Educational Technology Research and Development between 2016 and 2020. Our review showed that about 50% of the articles reported Likert-type data. A total of 139 articles used Likert-type data as a dependent variable, among which 86% employed parametric methods to analyze the data. In addition, less than 1% of the 139 articles used an ordered probit/ logit model, transformation, or strategy for rescaling Likert-type data to interval data to perform statistical analysis. Finally, to empower educational technology researchers to handle Likert-type data effectively, we concluded the paper with our suggestions and insight regarding alternative strategies and methods.

Objective:The aims of this systematic review were to examine the effects of the overall and the different types of the interventions on the do-not-resuscitate (DNR) designation and the time between DNR and death among cancer patients.Method:Data were searched from the databases of PubMed, CINAHL, EMbase, Medline, and Cochrane Library through 2 November 2017. Studies were eligible for inclusion if they were (1) randomized control trails, quasi-experimental study, and retrospective observational studies and (2) used outcome indicators of DNR designation rates. The Effective Public Health Practice Project tool was used to assess the overall quality of the included studies.Result:The 14 studies with a total of 7,180 participants were included in this review. There were 78.6% (11 of 14) studies that indicated that the interventions could improve the DNR designation rates. Three types of DNR interventions were identified in this review: palliative care unit service, palliative consultation services, and patient-physician communication program. The significant increases of the time between DNR designation and death only occurred in a patient-physician communication program.Significance of results:The palliative care unit service provided a continuing care model to reduce unnecessary utilization of healthcare service. The palliative consultation service is a new care model to meet the needs of cancer patients in non-palliative care unit. The share decision-making communication program and physician's compassion attitudes facilitate to make DNR decision early. The individualized DNR program needs to be developed according to the needs of cancer patients.

Li-Ting Chen,1,* Xiao-Le Fan,2,* Hai-Jun Li,1 Cheng-Long Ye,1 Hong-Hui Yu,1 Hui-Zhen Xin,1 Hong-Han Gong,1 De-Chang Peng,1 Li-Ping Yan3 1Department of Radiology, the First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China; 2Department of General Surgery, the First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China; 3Department of Cardiology, People’s Hospital of Jiangxi Province, Nanchang, Jiangxi Province, China *These authors contributed equally to this work Objective: Obstructive sleep apnea (OSA) is accompanied by widespread abnormal spontaneous regional activity related to cognitive deficits. However, little is known about the topological properties of the functional brain connectome of patients with OSA. This study aimed to use the graph theory approaches to investigate the topological properties and functional connectivity (FC) of the functional connectome in patients with OSA, based on resting-state functional magnetic resonance imaging (rs-fMRI). Methods: Forty-five male patients with newly diagnosed untreated severe OSA and 45 male good sleepers (GSs) underwent a polysomnography (PSG), clinical evaluations, and rs-fMRI scans. The automated anatomical labeling (AAL) atlas was used to construct the functional brain connectome. The topological organization and FC of brain functional networks in patients with OSA were characterized using graph theory methods and investigated the relationship between functional network topology and clinical variables. Results: Both the patients with OSA and the GSs exhibited high-efficiency “small-world” network attributes. However, the patients with OSA exhibited decreased σ, γ, Eglob; increased Lp, λ; and abnormal nodal centralities in several default-mode network (DMN), salience network (SN), and central executive network (CEN) regions. However, the patients with OSA exhibited abnormal functional connections between the DMN, SN, and CEN. The disrupted FC was significantly positive correlations with the global network metrics γ and σ. The global network metrics were significantly correlated with the Epworth Sleepiness Scale (ESS) score, Montreal Cognitive Assessment (MoCA) score, and oxygen desaturation index. Conclusion: The findings suggest that the functional connectome of patients with OSA exhibited disrupted functional integration and segregation, and functional disconnections of the DMN, SN, and CEN. The aberrant topological attributes may be associated with disrupted FC and cognitive functions. These topological abnormalities and disconnections might be potential biomarkers of cognitive impairments in patients with OSA. Keywords: obstructive sleep apnea, graph theory, functional connectome, cognitive function, resting-state fMRI

Thin film metallic glasses (TFMGs) have been heavily studied recently due to their ability to improve structural integrity. These versatile materials can furthermore be engineered to encompass biomedical applications in addition to providing improved hardness and other such uses in altering the base materials. In this work, six Zr-Ti-Fe TFMGs were grown by a magnetron co-sputtering system using pure Fe, Zr, and Ti targets under different target power control. The Fe content of coatings increased from to 17.8 to 49.8 at.%. The amorphous phase of each coating was confirmed by X-ray diffraction and transmission electron microscope techniques, and a featureless cross-section microstructure was found for each coating. Very little pile-up was found after the nanoindentation test. The hardness and elastic modulus of TFMG increased from 5.4 to 10.4 GPa and 73 to 135 GPa, respectively, as the Fe content increased from 17.8 to 49.8 at.%. Each TFMG also had adequate adhesion by HRC-DB test. Good biocompatibility of each TFMG was confirmed with proliferation assay using MG-63 cells. Because of the intrinsic improvement on hardness, and the additional properties of biocompatibility, we can conclude that six thin film metallic glass materials show promising possibilities for biomedical application.

Vasopressin (VP) is a nine-amino-acid antidiuretic hormone (ADH) released by hypothalamus and acts on various organs via three distinct G protein-coupled receptors, V1aR, V2R, V1bR (V3R). Large-scale retrospective study carried out in human patients indicated positive correlation between serum VP level and kidney disease severity. Currently, VP receptor antagonists are used to treat hyponatremia, autosomal dominant polycystic kidney disease (ADPKD), heart failure, cirrhosis, and syndrome of inappropriate antidiuretic hormone secretion (SIADH) in human patients; however, in the field of veterinary medicine, although the prevalence for chronic kidney disease (CKD) increases (up to 50%) along the age of companion animals, the treatment options for CKD cats and dogs are limited at this moment. In this article, we review information on the beneficial effects of VP receptor antagonists on the treatment of CKD and to provide supporting evidence for their potential applications in the field of veterinary medicine.

The aim of this study is to investigate changes in regional cerebral blood flow (rCBF) in awake people with untreated severe obstructive sleep apnoea (OSAs) compared with good sleepers (GSs). Arterial spin labelling perfusion imaging was used to quantify cerebral perfusion based on resting-state functional magnetic resonance imaging (MRI). Lying supine in a 3.0-T magnetic resonance imaging scanner in the night was done. Included in this study were 30 subjects with OSA (males; mean age 38.4 years, range 25–55) and 30 controls (males; mean age: 38.3 years, range 26–52) matched for age and years of education. Compared with GSs, participants with severe OSA had reduced rCBF in the left cerebellum posterior lobe, left temporal lobe, right medial frontal gyrus, and bilateral parahippocampal gyrus and increased rCBF in the bilateral superior frontal gyrus. The lower mean CBF in the right parahippocampal gyrus exhibited a significant positive correlation with arousal index (r = 0.365, P = 0.047). The increased mean CBF in the left superior frontal gyrus exhibited a significant positive correlation with the longest apnoea time (r = 0.422, P = 0.020), and the increased mean CBF in the right superior frontal gyrus exhibited a significant positive correlation with the longest apnoea time (r = 0.447, P = 0.013). Our results show that the altered rCBF pattern in the left cerebellum posterior lobe, left temporal lobe, left medial frontal gyrus, bilateral parahippocampal gyrus and superior frontal gyrus in patients have with severe OSA. The arterial spin labelling perfusion imaging method is a useful non-invasive imaging tool for detection of early changes in the regional cerebral blood flow in patients with OSA.

Homeless children usually experience high mobility. Yet, it is not clear if the degree of mobility among homeless children is associated with their academic performance. Furthermore, an emerging body of literature is beginning to examine the impact of specific living arrangements (e.g., living with families or friends) on homeless family and child outcomes. This research aimed to examine the effects of demographic risk factors, as well as mobility and type of living arrangement, on the academic performance of homeless children receiving educational support through the McKinney-Vento Act. Although neither mobility or living arrangement were associated with standardized test achievement, minority status, gender, special learning needs, and absenteeism still presented as risk factors for academic achievement in this sample of children experiencing homelessness. Recommendations for teacher practices and classroom instructions are presented.

A silk fibroin composite film that can simultaneously scavenge and probe H2O2 in situ was developed for possibly examining local concentrations of H2O2 for biomedical applications. A multi-functional composite film (GDES) that consists of graphene oxide (G), a photothermally responsive element that was blended with polydopamine (PDA, D)/horseradish peroxidase (HRP, E) (or DE complex), and then GDE microaggregates were coated with silk fibroin (SF, S), a tyrosine-containing protein. At 37 °C, the H2O2-scavenging ability of a GDES film in solution at approximately 7.5 × 10−3 μmol H2O2/mg film was the highest compared with those of S and GS films. The intensities of UV-excitable blue fluorescence of a GDES film linearly increased with increasing H2O2 concentrations from 4.0 μM to 80 μM at 37 °C. Interestingly, after a GDES film scavenged H2O2, the UV-excitable blue fluorescent film could be qualitatively monitored by eye, making the film an eye-probe H2O2 sensor. A GDES film enabled to heat H2O2-containing samples to 37 °C or higher by the absorption of near-IR irradiation at 808 nm. The good biocompatibility of a GDES film was examined according to the requirements of ISO-10993-5. Accordingly, a GDES film was developed herein to scavenge and eye-probe H2O2 in situ and so it has potential for biomedical applications.

A facile aerosol-based synthetic approach is demonstrated for the fabrication of silver-manganese oxide (Ag-MnOx) and cetyltrimethylammonium bromide (CTAB)-templated silver-manganese oxide (c-Ag-MnOx) hybrid nanostructures as the positive electrode materials of supercapacitors. Through gas-phase evaporation-induced self-assembly, silver nanoparticles are homogeneously decorated in the hybrid nanostructure to create a conductive path at the interface of the cluster of MnOx crystallites. The utilization of the capacitance of MnOx increases by the addition of Ag nanoparticles (>2 times for Ag-MnOx and ∼1.7 times for c-Ag-MnOx). An optimal specific capacitance is achieved when the concentration of the silver precursor (CAg) is 0.5 wt %, 118 F g-1 for Ag-MnOx, and 154 F g-1 for c-Ag-MnOx at a specific current of 1 A g-1. The enhanced supercapacitive performance by the addition of CTAB at low CAg is attributed to the increased surface area (>19.4%) for electrochemical reactions. The prototype method with mechanistic understanding demonstrated in this study shows promise for the fabrication of a variety of MnOx-based hybrid nanostructures for supercapacitor applications.

OBJECTIVE: To study the clinical value of serum neuroglobin in evaluating hypoglycemic brain injury in neonates. METHODS: A total of 100 neonates with hypoglycemia were enrolled as subjects. According to amplitude-integrated EEG (aEEG) findings and/or clinical manifestations, they were divided into symptomatic hypoglycemic brain injury group (n=22), asymptomatic hypoglycemic brain injury group (n=37) and hypoglycemic non-brain injury group (n=41). The three groups were compared in terms of blood glucose, duration of hypoglycemia, levels of neuroglobin and neuron-specific enolase (NSE), and modified aEEG score. The correlation of neuroglobin with NSE and modified aEEG score was analyzed. The receiver operating characteristic (ROC) curve was plotted. RESULTS: Compared with the asymptomatic hypoglycemic brain injury and hypoglycemic non-brain injury groups, the symptomatic hypoglycemic brain injury group had significantly lower blood glucose and modified aEEG score, significantly higher neuroglobin and NSE levels, and a significantly longer duration of hypoglycemia (P < 0.05). Compared with the hypoglycemic non-brain injury group, the asymptomatic hypoglycemic brain injury group had significantly lower blood glucose and modified aEEG score, significantly higher neuroglobin and NSE levels, and a significantly longer duration of hypoglycemia (P < 0.05). Neuroglobin was positively correlated with NSE and duration of hypoglycemia (r=0.922 and 0.929 respectively; P < 0.05) and negatively correlated with blood glucose and modified aEEG score (r=-0.849 and -0.968 respectively; P < 0.05). The areas under the ROC curve of neuroglobin, NSE and modified aEEG score were 0.894, 0.890 and 0.941 respectively, and neuroglobin had a sensitivity of 80.8% and a specificity of 95.8% at the optimal cut-off value of 108 mg/L. CONCLUSIONS: Like NSE and modified aEEG score, serum neuroglobin can also be used as a specific indicator for the assessment of brain injury in neonates with hypoglycemia and has a certain value in clinical practice.

Single-case experimental design (SCED) research plays an important role in establishing and confirming evidence-based practices. Due to multiple measures of a target behavior in such studies, missing information is common in their data. The expectation-maximization (EM) algorithm has been successfully applied to deal with missing data in between-subjects designs, but only in a handful of SCED studies. The present study extends the findings from Smith, Borckardt, and Nash (2012) and Velicer and Colby (2005b, Study 2) by systematically examining the performance of EM in a baseline-intervention (or AB) design under various missing rates, autocorrelations, intervention phase lengths, and magnitudes of effects, as well as two fitted models. Three indicators of an intervention effect (baseline slope, level shift, and slope change) were estimated. The estimates' relative bias, root-mean squared error, and relative bias of the estimated standard error were used to assess EM's performance. The findings revealed that autocorrelation impacted the estimates' qualities most profoundly. Autocorrelation interacted with missing rate in impacting the relative bias of the estimates, impacted the root-mean squared error nonlinearly, and interacted with the fitted model in impacting the relative bias of the estimated standard errors. A simpler model without autocorrelation can be used to estimate baseline slope and slope change in time-series data. EM is recommended as a principled method to handle missing data in SCED studies. Two decision trees are presented to assist researchers and practitioners in applying EM. Emerging research directions are identified for treating missing data in SCED studies.

In educational technology research, most studies are conducted to explore the effectiveness of using technology to improve teaching and learning. Priori power analysis enables researchers to determine sufficient sample size for achieving adequate statistical power during research planning. Observed power analysis is carried out on completed studies to estimate statistical power. While priori power analysis is recommended for sample size estimation, observed power analysis has been criticized for being incorrect and misleading. To understand current practices of power analysis in the field, we conducted a content analysis on five years’ publications in Educational Technology Research and Development from 2014 to 2018, a total of 178 articles. Our findings showed that only two articles (1.1%) reported a priori power analysis and seven articles (4.0%) reported observed power although it is not recommended. To facilitate sample size determination during research planning, we generated sample size tables for various t tests and ANOVAs from G*Power. Best practice recommendations to conduct and report educational technology research are provided.