Improving Sensor-free Detection of Programming Difficulties Using Deep Learning

Programming difficulties are one of the common problems faced by software engineering students,which can lead to a rapid decline in motivation and even drop out.Probing students’programming difficulties is a crucial step in understanding their current programming situation and implementing appropriate instructional interventions.However,how to detect students’programming difficulties accurately without students’awareness remains a big challenge.Address the issues above;this paper adopts a sensor-free difficulties detecting method based on a deep neural network which employs a recurrent neural network(RNN)model and uses the sequential timing data from programming behaviour.The method can detect students’programming difficulties in real-time with 93%accuracy without interference in the programming process.In the long term,this method is the first step for establishing an automated intelligent programming environment.At the same time,it can assist teachers in noticing the difficulties that students encounter.Then,teachers can adjust their teaching plans and provide manual tutoring intervention more quickly.

Clinical Observation on the Prevention and Treatment of Juvenile Mild Myopia with Traditional Chinese Medicine Comprehensive Therapy

Objective:To observe the clinical effect of traditional Chinese medicine on the prevention and treatment ofjuvenile mild myopia.Methods:One hundred and twenty cases of juvenile mild myopia were randomly divided into six groups,with 20 cases in each group:western medicine group,ultrasonic group,acupuncture group,auricular point group,traditional Chinese oral decoction group,and traditional Chinese medicine comprehensive therapy group.The therapeutic effects of the treatment administered to the six groups were compared.Result:In the post-treatment and follow-up stages,the visual acuity of the traditional Chinese medicine comprehensive therapy group significantly improved along with reduced diopter compared to the other groups(p<0.05).However,the axial length of the six groups had no significant change compared with that before treatment(p>0.05).There were no adverse reactions in any of the patients.Conclusion:In the treatment of juvenile mild myopia,traditional Chinese medicine comprehensive therapy has good therapeutic effect without any adverse reactions;thus,it is worthy of clinical promotion.

Nanopore-rich NiFe LDH targets the formation of the high-valent nickel for enhanced oxygen evolution reaction

Nickel-iron layered double hydroxides(NiFe LDHs)represent a promising candidate for oxygen evolution reaction(OER),however,are still confronted with insufficient activity,due to the slow kinetics of electrooxidation of Ni^(2+)cations for the high-valent active sites.Herein,nanopore-rich NiFe LDH(PR-NiFe LDH)nanosheets were proposed for enhancing the OER activity together with stability.In the designed catalyst,the confined nanopores create abundant unsaturated Ni sites at edges,and decrease the migration distance of protons down to the scale of their mean free path,thus promoting the formation of high-valent Ni^(3+)/^(4+)active sites.The unique configuration further improves the OER stability by releasing the lattice stress and accelerating the neutralization of the local acidity during the phase transformation.Thus,the optimized PR-NiFe LDH catalysts exhibit an ultralow overpotential of 278 mV at 10 mA∙cm^(−2)and a small Tafel slope of 75 mV∙dec^(−1),which are competitive among the advanced LDHs based catalysts.Moreover,the RP-NiFe LDH catalyst was implemented in anion exchange membrane(AEM)water electrolyzer devices and operated steadily at a high catalytic current of 2 A over 80 h.These results demonstrated that PR-NiFe LDH could be a viable candidate for the practical electrolyzer.This concept also provides valuable insights into the design of other catalysts for OER and beyond.