Beringlowery2285
In light of the compression tests results and also the failures and cracks observed during immersions, the upper limit of Mg content for PLA/Mg stent fabrication purposes is found to be below 3%.Tendons are connective tissues that transmit mechanical forces from muscle to bone and consist mainly of nano-scale fibrils of type I collagen. Aging has been associated with reduced mechanical function of tendons at the whole-tendon level and also with increased glycation of tendon collagen fibrils. signaling pathway Yet, the mechanical effects of aging at the fibril level remain unknown. In vitro glycation has previously been reported to substantially increase fibril strength and stiffness in young rats, suggesting a potentially large effect of aging through the glycation mechanism. We therefore expected that aging would have a similar major impact on fibril mechanical properties. In addition, differences in fibril mechanical properties between men and women have never been studied. This study investigated human patellar tendon biopsies from young (26 ± 4 years) and elderly (66 ± 1 years), men and women by measuring the mechanical properties of individual collagen fibrils using a custom nano-mechanical device. There were no major mechanical differences with either age or sex, but there were modestly greater failure stress (22%) and tensile modulus at both low and high strain (16% and 26% respectively) in the elderly group. No significant differences in mechanical properties were observed between men and women. The slightly greater strength and stiffness in the elderly group are in contrasts to the age-related deficits observed for whole-tendons in vivo, although the study was not designed to investigate these minor differences.Numerical design of TiNbTaZrMoSn alloy preceded its manufacture and mechanical, physico-chemical and in vitro characterisation. The specifications of the alloy required a multi-objective optimisation including lower modulus of elasticity than c.p.Ti, high strength, stabilised β crystal structure with a low martensitic start temperature, a narrow solidification range and high biocompatibility. The results reveal that there was a good match between the bulk mechanical properties exhibited by the alloy experimentally and those predicted. Regarding surface properties, independent of roughness effects, the oxide thickness and surface zeta-potential, measured in biologically relevant electrolytes and at physiological pH, arose as important factors in osteoblastic activity (i.e., cell proliferation, measured via DNA, protein and metabolite content, and differentiation, via ALP levels), but not in cell adhesion and viability. The thinner oxide layer and lower absolute value of surface zeta-potential on the TiNbTaZrMoSn alloy explain its lesser osteogenic properties (i.e., inhibition of ALP activity) compared to the c.p. Ti. This study demonstrates that the numerical models to predict microstructure and bulk mechanical properties of β-Ti alloys are robust, but that the prediction of cellular bioactivity lags behind and still requires parameterisation to account for features such as oxide layer composition and thickness, electro-chemical properties and surface charge, and topography to optimise cell response in silico before committing to the costly manufacture and deployment of these alloys in regenerative medicine.
With the development of evidence-based nursing practice, nursing research courses are important in undergraduate programs. However, nursing research courses are highly theoretical, which is difficult for students to understand. Improving the teaching quality of nursing research courses is a challenge for educators.
To understand the learning experience and the effect of gamification teaching on nursing undergraduates, and to provide new ideas for nurse educators.
A qualitative research design using individual semi-structured interviews.
Gamification teaching was applied in an undergraduate nursing research course over one semester at a university in Central China.
Purposive sampling was adopted to select nine undergraduate nursing students who had recently completed gamification teaching in a nursing research course.
Data were collected through semi-structured interviews and analyzed using Colaizzi's phenomenological method.
Three major themes and seven subthemes emerged from the interviewees' experience (1) positive attitude (e.g., acceptance with pleasure and flow experience); (2) self-perceived competence improvement (e.g., creative thinking, collaboration, and knowledge internalization and application); and (3) challenges of gamification teaching (e.g., learning pressure and rationality of game design).
The gamification teaching mode based on the flow theory had a positive effect on the students' learning experience in the nursing research course. It is recommended to improve the game design model and to enhance its effectiveness for classrooms in the future.
The gamification teaching mode based on the flow theory had a positive effect on the students' learning experience in the nursing research course. It is recommended to improve the game design model and to enhance its effectiveness for classrooms in the future.
Students use social media for sharing information and connecting with their friends, also for peer support, peer learning and student engagement. Research indicates that approximately twice the number of students were using social media for educational purposes compared to academic staff and almost all students discuss academic issues on social media. However, little is known about how diverse cohorts of student nurses use social media for specific purposes at different stages of their learning.
Identify how student nurses in each country of study use social media for learning. Identify how each generation of student nurses use social media for learning. Identify how student nurses use social media as their education progresses.
A cross-sectional survey.
The study was undertaken across three countries Jamaica, Trinidad and Tobago and the UK.
Student nurses from each of the countries that consented to participate met the inclusion criteria.
1050 student nurses across the three countries self-complesimilated into the nursing curriculum.
Country, generation and year of education are factors that influence the use of social media in student nurses' learning. These should be considered by Universities in curriculum development and in teaching and learning delivery. From a pragmatic approach, social media is available and used by a majority of student nurses and can be widely assimilated into the nursing curriculum.For the first-time production of 43,44,44mSc radionuclides via 12C + natCl reaction have been reported. Production yield and experimental cross sections of natCl(12C,xn)43,44,44mSc up to 64 MeV have been reported. Experimental cross sections have been found comparable with the theoretically evaluated data using PACE4 and EMPIRE3.2.2 codes.[11C]ER176 is a next generation PET radioligand for imaging 18 kDa translocator protein, a biomarker for neuroinflammation. The goal of this work was to investigate alternative strategies for the radiochemical synthesis, purification, and formulation of [11C]ER176. An optimized tri-solvent high-performance liquid chromatography (HPLC) protocol is described to separate the hydro-de-chlorinated byproduct from [11C]ER176. A newly implemented solid phase extraction work-up efficiently removed HPLC solvent while maintaining chemical purity and overall radiochemical yield and purity. This new HPLC purification and final formulation was completed within 40 min, providing 2.7 ± 0.5 GBq of [11C]ER176 at end of synthesis with 1400 ± 300 GBq/μmol molar activity while meeting all specifications for radiopharmaceutical quality control tests for human research use.Due to the extensive use of chemical substances such as pesticides, antibiotics and food additives, food safety issues have gradually attracted people's attention. The extensive use of these chemicals seriously damages human health. In order to detect trace chemical residues in food, researchers have to find several simple, economical and effective tools for qualitative and quantitative analysis. As a kind of material that specifically and selectively recognize template molecules from real samples, molecular imprinting technique (MIT) has widely applied in food samples analysis. This article mainly reviews the application of molecularly imprinted polymer (MIP) in the detection of chemical residues from food in the past five years. Some recent and novel methods for fabrication of MIP are reviewed. Their application of sample pretreatment, sensors, etc. in food analysis is reviewed. The application of molecular imprinting in chromatographic stationary phase is referred. Additionally, the challenges faced by MIP are discussed.The purpose of this paper is to propose a simple method for daily inspections of a gas chromatography-mass spectrometry (GC-MS) system with an instrumental detection limit (IDL) as an indicator. A definition of DLs by ISO is 3.3σ where σ denotes the standard deviation (SD) of blank measurements. Estimation of σ is carried out according to the function of mutual information (FUMI) theory and actually with commercial software (TOCO19). An IDL which is a combination of a signal area, width and noise level is concluded to be a good indicator for daily inspections compared with each of its constituents. Methyl stearate is used as a standard material for the daily inspection of a programmed-temperature GC-MS system. A short chromatogram of 1800 data points (1.5 min) containing a target signal and background noise is fit for the IDL prediction by TOCO19. The relative SDs (RSDs) based on the theoretically estimated σ are shown to coincide with statistical results from repeated measurements within 95% confidence intervals. Column temperature is observed to affect IDLs through background fluctuation and then temperature-IDL relationship is examined in a range from 170 to 270 °C. Actual daily inspections over a month are demonstrated.
Electronic health record (EHR) data is commonly used for secondary purposes such as research and clinical decision support. However, reuse of EHR data presents several challenges including but not limited to identifying all diagnoses associated with a patient's clinical encounter. The purpose of this study was to assess the feasibility of developing a schema to identify and subclassify all structured diagnosis codes for a patient encounter.
To develop a subclassification schema we used EHR data from an interhospital transport data repository that contained complete hospital encounter level data. Eight discrete data sources containing structured diagnosis codes were identified. Diagnosis codes were normalized using the Unified Medical Language System and additional EHR data were combined with standardized terminologies to create and validate the subcategories. We then employed random forest to assess the usefulness of the new subcategorized diagnoses to predict post-interhospital transfer mortality by builuctured diagnosis codes with additional EHR data and secondary data sources provides additional information to understand the role of diagnosis throughout a clinical encounter and improves predictive model performance. Further work is necessary to assess if subcategorizing produces benefits in interpreting the results of prognostic models and/or operationalizing the results in clinical decision support applications.
