Magnetic and magnetocaloric effect in a stuffed honeycomb polycrystalline antiferromagnet GdInO_(3)

The magnetic and magnetocaloric properties were studied in a stuffed honeycomb polycrystalline antiferromagnet GdInO_(3).The onset temperature of antiferromagnetic ordering was observed at~2.1 K.Negligible thermal and magnetic hystereses suggest a reversible magnetocaloric effect(MCE)in the GdInO_(3) compound.In the magnetic field changes of 0 kOe-50 kOe and 0 kOe-70 kOe,the maximum magnetic entropy change values are 9.65 J/kg·K and 18.37 J/kg·K,respectively,near the liquid helium temperature,with the corresponding relative cooling power values of 115.01 J/kg and211.31 J/kg.The MCE investigation of the polycrystalline GdInO_(3) serves to illuminate more exotic properties in this frustrated stuffed honeycomb magnetic system.

5-mRNA-based prognostic signature of survival in lung adenocarcinoma

BACKGROUND Lung adenocarcinoma(LUAD)is the most common non-small-cell lung cancer,with a high incidence and a poor prognosis.AIM To construct effective predictive models to evaluate the prognosis of LUAD patients.METHODS In this study,we thoroughly mined LUAD genomic data from the Gene Expression Omnibus(GEO)(GSE43458,GSE32863,and GSE27262)and the Cancer Genome Atlas(TCGA)datasets,including 698 LUAD and 172 healthy(or adjacent normal)lung tissue samples.Univariate regression and LASSO regression analyses were used to screen differentially expressed genes(DEGs)related to patient prognosis,and multivariate Cox regression analysis was applied to establish the risk score equation and construct the survival prognosis model.Receiver operating characteristic curve and Kaplan-Meier survival analyses with clinically independent prognostic parameters were performed to verify the predictive power of the model and further establish a prognostic nomogram.RESULTS A total of 380 DEGs were identified in LUAD tissues through GEO and TCGA datasets,and 5 DEGs(TCN1,CENPF,MAOB,CRTAC1 and PLEK2)were screened out by multivariate Cox regression analysis,indicating that the prognostic risk model could be used as an independent prognostic factor(Hazard ratio=1.520,P<0.001).Internal and external validation of the model confirmed that the prediction model had good sensitivity and specificity(Area under the curve=0.754,0.737).Combining genetic models and clinical prognostic factors,nomograms can also predict overall survival more effectively.CONCLUSION A 5-mRNA-based model was constructed to predict the prognosis of lung adenocarcinoma,which may provide clinicians with reliable prognostic assessment tools and help clinical treatment decisions.

以肾功能不全为主要表现的结节性硬化症2例

结节性硬化症(tuberous sclerosis,TS)是临床上以面部血管纤维瘤、鲨鱼皮样斑、视网膜错构瘤、肾错构瘤(hamartoma of kidney,HK)、脏器结节、癫痫及智力障碍等特征为主的一类疾病,目前TS存在较多的误诊、漏诊。南昌大学第一附属医院近年收治2例以肾功能不全为主要临床表现的TS患者,现报道如下。

Acceleration of the EM Algorithm Using the Vector Aitken Method and Its Steffensen Form

Based on Vector Aitken （VA） method, we propose an acceleration Expectation-Maximization （EM） algorithm, VA-accelerated EM algorithm, whose convergence speed is faster than that of EM algorithm. The VA-accelerated EM algorithm does not use the information matrix but only uses the sequence of estimates obtained from iterations of the EM algorithm, thus it keeps the flexibility and simplicity of the EM algorithm. Considering Steffensen iterative process, we have also given the Steffensen form of the VA-accelerated EM algorithm. It can be proved that the reform process is quadratic convergence. Numerical analysis illustrate the proposed methods are efficient and faster than EM algorithm.

Splenic Infarction as Starting Symptom in Minimal Change Nephropathy

To the Editor： A 17-year-old Chinese male patient without any medical history presented to The First Affiliated Hospital of Nanchang University. His initial symptoms were abdominal pain and progressive edema. The pain presented initially around umbilical area and then progressed to left upper quadrant of the abdomen.