This paper insists that the existing students appraising in teacher evaluation mechanism fails to be emphasized and the ignorance of teaching or research function will violate the essence of colleges and universities.The authors also propose that two different evaluation systems with different focuses respectively should be set up,by references and reflections from that of the United States'.

0.05);the persons with hypersexuality from 25 to 31 age had the highest infection percentage and it taken 75% of all the NGU.The minocycline and doxycycline were sensitive and ciprofloxacin was a resistant drug.CONCLUSIONS In our hospital,the Uu is still a main pathogen,and the minocycline and doxycycline are the fist choice to treat it.At the same time,the NGU survey and the antibacterial susceptibility tests are very important.

OBJECTIVE To evaluate the clinical significance of quantitative analysis of EBV DNA in plasma,CYFRA21-1 and VCA-IgA in serum of nasopharyngeal carcinoma patients.METHODS EBV DNA in plasma,CRFRA21-1 and VCA-IgA in serum of 62 patients were analyzed using RealTime PCR technique,electrochemiluminescence immunoassay(ECI),and immunoenzyme assay respectively.And these were compared among clinical remission,recurrent or metastasis groups.RESULTS The positive rate of preoperative radiotherapy group was significantly higher than clinical remission group(P

Objective Toexploretheclinicalvalueofcombiningapplicationofthreedimensionalpseudocontinuousarterialspin labeling (3D-pCASL)andsusceptibilityweightedimaging (SWI)inpredictingtheoutcomsofcerebralischemia.Methods Thirty-two patientswithmoderatetoseverestenosisofunilateralmiddlecerebralartery(MCA)and16healthyvolunteers(asacontrolgroup) underwenttheexaminationsoftheroutineMRI,MRA,3D-pCASL (PLD:1525ms,2525ms)andSWI.Thepatientsweredividedinto twogroups:lowperfusiongroupandequal/highperfusiongroupaccordingtotherCBFof3D-pCASLwithPLD:2525ms.OnSWI, theparametersofdeepmedullaryvein(DMV)includedratioofquantity,totallengthinbilateralunitareaandsubjectivescoreofischemic side.ThedifferencesofthevaluesofDMV parametersamongthegroupswerecompared,andthecorrelationsbetweenrCBFand DMVparameterswereanalyzed.Thereexaminationswereperformed6monthslaterandtheincidenceofinfarctionwascomparedbetween thelowperfusiongroupandtheequal/highperfusiongroup.ThecorrelationbetweenvaluechangeofrCBFandDMV,andthetransformation tendencyfromtheischemiclesiontocerebralinfarctionwerealsoanalyzed.Results Inthelowperfusiongroup,allDMVparameters werehigherthanthoseinthecontrolgroupandtheequal/highperfusiongroup,andthedifferencesbetweengroupswerestatistically significant(P＜0.05),buttherewerenosignificantdifferencesbetweenthevaluesofthecontrolgroupandtheequal/highperfusion group (P＞0.05).Thereexaminationresultsof6monthslatershowedthat4caseswithcerebralinfarctionwereallfromthelowperfusion group.Theincidenceofthecerebralinfarctioninthelowperfusion groupwas25%andwassignificantlyhigherthanthat(0%)in theequal/highperfusiongroup (P＜0.05).Theincidencewas positivelycorrelatedwiththeratioofquantity,totallengthinbilateral unitareaandsubjectivescoreofischemicsideofDMV (r＝0.512,0.43,0.449,P＜0.05),whilenegativelycorrelatedwithrCBF (r＝－0.501,P＜0.05).Conclusion TherearesomechangesofrCBFandDMVincerebralischemicarea,andthereisacorrelationbetween rCBFandDMV.3D-pCASLandSWIcanshowcerebralbloodflowperfusionandDMVinischemicarea,andplayanimportantrolein studyingtheoutcomesofcerebralischemiclesions.

Objective:To evaluate the value of applying an artificial intelligence (AI) system for diabetic retinopathy (DR) detection and referral in community.Methods:A diagnostic test study was conducted.Four hundred and twenty-one patients (812 eyes) diagnosed with diabetes in three Dongguan community healthcare centers from January 1, 2020 to December 31, 2021 were enrolled.There were 267 males, accounting for 63.42% and 154 females, accounting for 36.58%.The subjects were 18-82 years old, with an average age of (51.72±11.28) years.The disease course of the subjects was 0-30 years, with an average course of 3.00 (1.00, 7.00) years.At least one macula-centered 50-degree fundus image was taken for each eye to build a DR image database.All the images were independently analyzed by an AI-assisted diagnostic system for DR, trained and qualified community physicians and ophthalmologists to make diagnosis including with or without DR, referable diabetic retinopathy (RDR) and referral recommendation or not.With diagnoses from ophthalmologists as the standard, sensitivity and specificity of the AI system in detecting DR and RDR were evaluated.The consistency and effective referral rate of the AI system and community physicians in detecting DR, especially in detecting RDR were evaluzted.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Dongguan Tungwah Hospital (No.2019DHLL046).Results:Of 812 eyes, 242 eyes were diagnosed with DR, including 23 with mild nonproliferative diabetic retinopathy (NPDR), 120 with moderate NPDR, 60 with severe NPDR and 39 with proliferative diabetic retinopathy (PDR). The other 570 eyes were diagnosed without DR.The sensitivity/specificity of AI system to detect DR and RDR was 87.60%/97.89% and 90.41%/96.29%, respectively.Compared with the ophthalmologists' diagnosis, the Cohen' s Kappa statistic of AI system to detect DR/RDR was 0.87/0.87, which was lower than 0.93/0.98 of community physicians.Among the referral-recommended cases by ophthalmologists, the effective referral rate of the AI system was 90.87% (199/219), which was higher than 89.50% (196/219) of community physicians, without statistically significant difference ( P=1.000). Conclusions:The AI system shows high sensitivity, specificity and consistency in DR detection, especially in RDR.The AI system is better in recognizing RDR than trained community physicians.