RESUMEN
SUMMARY: The information technology (IT) based "instant evaluation" is supported by IT, which allows instant evaluation of teaching phenomena based on certain evaluation criteria and provides instant feedback. In anatomy teaching, we explored and practiced the application of instant evaluation based on a platform called "Rain classroom." We found that IT-based instant evaluation had higher practicability and better student satisfaction, which could improve teaching efficiency during class time, help students improve learning methods, and promote knowledge mastery. Additionally, instant evaluation positively impacted teachers' evaluation ability and teaching skills.
RESUMEN: La "evaluación instantánea" basada en la tecnología de la información (TI) está respaldada por ésta y permite la evaluación instantánea de los fenómenos de enseñanza en función de ciertos criterios de evaluación proporcionando retroalimentación instantánea. En la enseñanza de la anatomía, exploramos y practicamos la aplicación de la evaluación instantánea basada en una plataforma llamada "Aula de lluvia" o Rain Classroom. Descubrimos que la evaluación instantánea basada en TI tenía una mayor practicidad y una mejor satisfacción de los estudiantes, lo que podría mejorar la eficiencia de la enseñanza durante el tiempo de clase, ayudar a los estudiantes a mejorar los métodos de aprendizaje y promover el dominio del conocimiento. Además, la evaluación instantánea tuvo un impacto positivo en la capacidad de evaluación y las habilidades de enseñanza de los maestros.
Asunto(s)
Humanos , Estudiantes , Evaluación Educacional/métodos , Tecnología de la Información , Retroalimentación , Anatomía/educación , Enseñanza , Programas Informáticos , China , Encuestas y CuestionariosAsunto(s)
Herpes Simple/diagnóstico , Niño , Enfermedad Crónica , Resultado Fatal , Femenino , Humanos , Huésped InmunocomprometidoRESUMEN
Background: D-Hydroxyphenylglycine is considered to be an important chiral molecular building-block of antibiotic reagents such as pesticides, and β-lactam antibiotics. The process of its production is catalyzed by D-hydantoinase and D-carbamoylase in a two-step enzyme reaction. How to enhance the catalytic potential of the two enzymes is valuable for industrial application. In this investigation, an Escherichia coli strain genetically engineered with D-hydantoinase was immobilized by calcium alginate with certain adjuncts to evaluate the optimal condition for the biosynthesis of D-carbamoyl-p-hydroxyphenylglycine (D-CpHPG), the compound further be converted to D-hydroxyphenylglycine (D-HPG) by carbamoylase. Results: The optimal medium to produce D-CpHPG by whole-cell immobilization was a modified Luria-Bertani (LB) added with 3.0% (W/V) alginate, 1.5% (W/V) diatomite, 0.05% (W/V) CaCl2 and 1.00 mM MnCl2.The optimized diameter of immobilized beads for the whole-cell biosynthesis here was 2.60 mm. The maximized production rates of D-CpHPG were up to 76%, and the immobilized beads could be reused for 12 batches. Conclusions: This investigation not only provides an effective procedure for biological production of D-CpHPG, but gives an insight into the whole-cell immobilization technology.
Asunto(s)
Escherichia coli , Amidohidrolasas , Glicina/análogos & derivados , Células Inmovilizadas , Glicina/biosíntesisRESUMEN
Signals in spectral analysis often have random noise, which has negative influence on the accuracy and detection limit of analysis. A new chemometrics method named Mexican Hat Wavelet De-noising Arithmetic (MWDA) is presented, which can be used to remove noise in analytical chemical signals. In this method, Mexican Hat wavelet is chosen to construct de-noising function because of its excellent properties, then the de-noising function is used to extract useful information from noisy signals. MWDA is effective for signals with either wide peaks or very sharp peaks. Many processing results of simulated and experimental signals indicate that MWDA is a simple and powerful de-noising method, even when the signal has very high noise (whose signal to noise ratio is 1). After processed, the relative errors of peak position, peak height and peak area are less than 0.2%, 3.2% and 1.1% respectively. When it is applied to experimental spectra, the results are also satisfactory. This new method can increase the accuracy of spectral analysis, and the result is credible and satisfying.