Dear Editor,I am Dr.Jia X from the Department of Ophthalmology,Second Xiangya Hospital,Central South University,Changsha,China.I write to present a rare case report of 9p deletion syndrome with congenital infantile gl...Dear Editor,I am Dr.Jia X from the Department of Ophthalmology,Second Xiangya Hospital,Central South University,Changsha,China.I write to present a rare case report of 9p deletion syndrome with congenital infantile glaucoma in an infant,accompanying with an effective method of both diagnosis and treatment.展开更多
Synthesis of functional nanostructures with the least number of tests is paramount towards the propelling materials development. However, the synthesis method containing multivariable leads to high uncertainty, exhaus...Synthesis of functional nanostructures with the least number of tests is paramount towards the propelling materials development. However, the synthesis method containing multivariable leads to high uncertainty, exhaustive attempts, and exorbitant manpower costs. Machine learning (ML) burgeons and provokes an interest in rationally designing and synthesizing materials. Here, we collect the dataset of nano-functional materials carbon dots (CDs) on synthetic parameters and optical properties. ML is applied to assist the synthesis process to enhance photoluminescence quantum yield (QY) by building the methodology named active adaptive method (AAM), including the model selection, max points screen, and experimental verification. An interactive iteration strategy is the first time considered in AAM with the constant acquisition of the furnished data by itself to perfect the model. CDs exhibit a strong red emission with QY up to 23.3% and enhancement of around 200% compared with the pristine value obtained through the AAM guidance. Furthermore, the guided CDs are applied as metal ions probes for Co^(2+) and Fe^(3+), with a concentration range of 0–120 and 0–150 µM, and their detection limits are 1.17 and 0.06 µM. Moreover, we also apply CDs for dental diagnosis and treatment using excellent optical ability. It can effectively detect early caries and treat mineralization combined with gel. The study shows that the error of experiment verification gradually decreases and QY improves double with the effective feedback loops by AAM, suggesting the great potential of utilizing ML to guide the synthesis of novel materials. Finally, the code is open-source and provided to be referenced for further investigation on the novel inorganic material prediction.展开更多
目的探究在神经病学临床实习教学中实施多学科诊疗(Multidisciplinary Diagnosis and Treatment,MDT)模式下问题为导向(Problem-based Learning,PBL)教学法的效果。方法选取2023年1—12月东台市人民医院神经病学科的60名规培生为研究对...目的探究在神经病学临床实习教学中实施多学科诊疗(Multidisciplinary Diagnosis and Treatment,MDT)模式下问题为导向(Problem-based Learning,PBL)教学法的效果。方法选取2023年1—12月东台市人民医院神经病学科的60名规培生为研究对象,以教学方法的不同分为观察组、参照组,各30名。参照组行PBL教学法,观察组行MDT模式下PBL教学法。比较两组带教前后的考核成绩(理论知识和实践能力)、临床工作能力(自学能力、临床分析能力、临床思维能力及团队合作能力)及带教满意程度。结果观察组的考核成绩、临床工作能力及带教满意程度均高于参照组,差异有统计学意义(P均<0.05)。结论MDT模式下PBL教学法能够改善神经病学临床实习教学中规培生考核成绩,改善临床工作能力,提高带教满意程度。展开更多
基金Supported by the Natural Science Foundation of China(No.81370913)
文摘Dear Editor,I am Dr.Jia X from the Department of Ophthalmology,Second Xiangya Hospital,Central South University,Changsha,China.I write to present a rare case report of 9p deletion syndrome with congenital infantile glaucoma in an infant,accompanying with an effective method of both diagnosis and treatment.
基金the support from Beijing National Science Foundation(No.L222109)the Military Health Care Project(No.22BJZ22)+1 种基金Q.X.acknowledges the support from the National Natural Science Foundation of China(No.52211530034)the Beijing National Science Foundation(No.3222018).
文摘Synthesis of functional nanostructures with the least number of tests is paramount towards the propelling materials development. However, the synthesis method containing multivariable leads to high uncertainty, exhaustive attempts, and exorbitant manpower costs. Machine learning (ML) burgeons and provokes an interest in rationally designing and synthesizing materials. Here, we collect the dataset of nano-functional materials carbon dots (CDs) on synthetic parameters and optical properties. ML is applied to assist the synthesis process to enhance photoluminescence quantum yield (QY) by building the methodology named active adaptive method (AAM), including the model selection, max points screen, and experimental verification. An interactive iteration strategy is the first time considered in AAM with the constant acquisition of the furnished data by itself to perfect the model. CDs exhibit a strong red emission with QY up to 23.3% and enhancement of around 200% compared with the pristine value obtained through the AAM guidance. Furthermore, the guided CDs are applied as metal ions probes for Co^(2+) and Fe^(3+), with a concentration range of 0–120 and 0–150 µM, and their detection limits are 1.17 and 0.06 µM. Moreover, we also apply CDs for dental diagnosis and treatment using excellent optical ability. It can effectively detect early caries and treat mineralization combined with gel. The study shows that the error of experiment verification gradually decreases and QY improves double with the effective feedback loops by AAM, suggesting the great potential of utilizing ML to guide the synthesis of novel materials. Finally, the code is open-source and provided to be referenced for further investigation on the novel inorganic material prediction.
文摘目的探究在神经病学临床实习教学中实施多学科诊疗(Multidisciplinary Diagnosis and Treatment,MDT)模式下问题为导向(Problem-based Learning,PBL)教学法的效果。方法选取2023年1—12月东台市人民医院神经病学科的60名规培生为研究对象,以教学方法的不同分为观察组、参照组,各30名。参照组行PBL教学法,观察组行MDT模式下PBL教学法。比较两组带教前后的考核成绩(理论知识和实践能力)、临床工作能力(自学能力、临床分析能力、临床思维能力及团队合作能力)及带教满意程度。结果观察组的考核成绩、临床工作能力及带教满意程度均高于参照组,差异有统计学意义(P均<0.05)。结论MDT模式下PBL教学法能够改善神经病学临床实习教学中规培生考核成绩,改善临床工作能力,提高带教满意程度。
