Objective The prediction of RR intervals in hypertensive patients can help clinicians to analyze and warn patients'heart condition.Methods Using 8 patients'data as samples,the RR intervals of patients were predicted by long short-term memory network(LSTM)and gradient lift tree(XGBoost),and the prediction results of the two models were combined by the inverse variance method to overcome the disadvantage of single model prediction.Results Compared with the single model,the proposed combined model had a different degree of improvement in the prediction of RR intervals in 8 patients.Conclusion LSTM-XGBoost model provides a method for predicting RR intervals in hypertensive patients,which has potential clinical feasibility.

Objective:To explore the clinical features and genetic etiology of a child with Char syndrome.Methods:A child who was presented at the Department of Child Health, Henan Children′s Hospital in February 2022 was selected as the study subject. Clinical data of the child was collected, and peripheral blood samples of the child and her parents were collected for the extraction of genomic DNA. Whole exome sequencing was carried out, and candidate variants were verified by Sanger sequencing and bioinformatic analysis.Results:The child had mainly manifested facial dysmorphism, patent ductus arteriosus, growth retardation, curving of fifth fingers and middle toes. Whole exome sequencing revealed that she has harbored a heterozygous c. 944A>C (p.Glu315Ala) variant of the TFAP2B gene, which was verified to be de novo by Sanger sequencing. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the variant was rated to be likely pathogenic (PM1+ PM2_Supporting+ PM6+ PP3). Conclusion:The heterozygous c. 944A>C (p.Glu315Ala) variant of the TFAP2B gene probably underlay the Char syndrome in this child. Above finding has expanded the mutational and phenotypic spectra of the TFAP2B gene, which has facilitated early identification and diagnosis of Char syndrome.

Aim To explore the inhibition of Sinica Maxim′s extract( CSME) on resistant infections of burn wounds,such as the methicillin-resistant staphylococcus aureus ( MRSA ) , resistant pseudomonas aeruginosa (RPA) and resistant escherichia coli(RECO). Meth-ods The resistant strains were cultured by MH agar plates. After resistance genes of quality control strains were extracted and appraised, such as mecA, mexB, merA, qacE△1-sull, tnpU/A and mexB, etc, and then,some projects of CSME were detected,such as the antibacterial spectrum, the minimum inhibitory con-centration(MIC), different concentrations of sensitive rate and inhibition curves, etc. Finally, these results were compared with the inhibitory effects of some anti-biotics to determine the sensitivity rates of CSME. Re-sults The MIC of CSME was 62. 5 ,125 ,250 g · L-1 respectively on the MESA, RPA and RECO. The inhi-bition rates of CSME appeared concentration-dependent on these three kinds of resistant bacteria,and the inhi-bition rates of the multi-concentration CSME on RECO were significantly lower than on MRSA and RPA ( P<0. 05). While in MIC,the resistance rates of MRSA on carbenicillin, cefazolin, erythromycin were significant-ly higher than those of CSME(P<0. 05); The inhibi-tion zones of CSME were significantly smaller than those of ceftriaxone, cefepime, imipenem, but greater than those of other antibiotics( P<0. 05 ); The inhibi-tion zones of CSME on RPA were significantly smaller than those of carbenicillin, and greater than those of other antibiotics ( P <0. 05 ) . The inhibition zones of CSME on RECO were significantly smaller than those of ceftriaxone,cefepime,imipenem,ciprofloxacin,nitro-furazone,and greater than those of other antibiotics ( P<0. 05 ) . Conclusions CSME has a significant inhi-bition on burn wound infection with these three kinds of resistant bacteria,such as MRSA,RPA and RECO. It is prompted that CSME could become one of the effective drugs to control burn wound infections with multi-re-sistant strains.

OBJECTIVETo compare two methods for threshold selection in Huber regularization for low-dose computed tomography imaging.

METHODSHuber regularization-based iterative reconstruction (IR) approach was adopted for low-dose CT image reconstruction and the threshold of Huber regularization was selected based on global versus local edge-detecting operators.

RESULTSThe experimental results on the simulation data demonstrated that both of the two threshold selection methods in Huber regularization could yield remarkable gains in terms of noise suppression and artifact removal.

CONCLUSIONBoth of the two methods for threshold selection in Huber regularization can yield high-quality images in low-dose CT image iterative reconstruction.

BACKGROUND:Being used in senile intertrochanteric fracture, the third generation of Gamma nail may isolate fracture fragments and it is difficult to be secured in the rotor, so the stability is poor. Varus deformity easily appears, which is difficult to support or satisfactorily reset. OBJECTIVE:To compare the effects and stability of the proximal femoral locking plate and the third generation of the gamma nail in the treatment of stable intertrochanteric fracture. METHODS:(1) A total of 64 patients with intertrochanteric fractures were respectively treated with the third generation of the gamma nail fixation (n=32) and proximal femoral locking plate fixation (n=32). Fracture reduction and healing were assessed using anteroposterior and lateral radiographs. Femoral rotor varus angle and intertrochanteric medial inclination received biomechanical measurement. (2) Eight femoral specimens whose shape and size were approximated were selected to be randomly assigned to Gamma 3 group and proximal femoral locking plate group (n=4), which respectively received Gamma 3 fixation and proximal femoral locking plate fixation. After axial compression test and destruction test, load-displacement curve was drawn. The maximum yield load value was calculated by torsion test. RESULTS AND CONCLUSION:Operative time and intraoperative blood loss were significantly more in the proximal femoral locking plate group than in the Gamma 3 group (P < 0.05). The fracture quality assessment results were better in the proximal femoral locking plate group than in the Gamma 3 group (P < 0.05). The axial stiffness and corresponding torque of various torsion angles were smaler in the proximal femoral locking plate group than in the Gamma 3 group (P < 0.05). Experimental results indicated that in the course of fixating intertrochanteric fracture merged with greater trochanter fracture, the proximal femur locking plate has obtained more biomechanical stability.

Objective To compare two methods for threshold selection in Huber regularization for low-dose computed tomography imaging. Methods Huber regularization-based iterative reconstruction (IR) approach was adopted for low-dose CT image reconstruction and the threshold of Huber regularization was selected based on global versus local edge-detecting operators. Results The experimental results on the simulation data demonstrated that both of the two threshold selection methods in Huber regularization could yield remarkable gains in terms of noise suppression and artifact removal. Conclusion Both of the two methods for threshold selection in Huber regularization can yield high-quality images in low-dose CT image iterative reconstruction.

Objective We propose a method using total variation (TV) regularization in deconvolution for partial volume correction in PET imaging. In the degraded image model, we used TV regularization procedure in Van Cittert (VC) and Richardson-Lucy (RL) deconvolution algorithms. These methods were tested in simulated NCAT images and images of NEMA NU4-2008 IQ phantom and tumor-bearing mouse scanned by Simens Invoen microPET. The simulated experiment and tumor-bearing mouse experiment showed that the algorithms using TV regularization provided superior qualitative and quantitative appearance compared with traditional VC and RL algorithms. When the mean intensity of the tumor increased by (10 ± 1.8)%, the SD increase percentage was decreased from 49.98%to 14.26%and from 42.76%to 4.70%, suggesting the efficiency of the proposed algorithms for reducing PVEs in PET.

Objective To compare two methods for threshold selection in Huber regularization for low-dose computed tomography imaging. Methods Huber regularization-based iterative reconstruction (IR) approach was adopted for low-dose CT image reconstruction and the threshold of Huber regularization was selected based on global versus local edge-detecting operators. Results The experimental results on the simulation data demonstrated that both of the two threshold selection methods in Huber regularization could yield remarkable gains in terms of noise suppression and artifact removal. Conclusion Both of the two methods for threshold selection in Huber regularization can yield high-quality images in low-dose CT image iterative reconstruction.

Objective We propose a method using total variation (TV) regularization in deconvolution for partial volume correction in PET imaging. In the degraded image model, we used TV regularization procedure in Van Cittert (VC) and Richardson-Lucy (RL) deconvolution algorithms. These methods were tested in simulated NCAT images and images of NEMA NU4-2008 IQ phantom and tumor-bearing mouse scanned by Simens Invoen microPET. The simulated experiment and tumor-bearing mouse experiment showed that the algorithms using TV regularization provided superior qualitative and quantitative appearance compared with traditional VC and RL algorithms. When the mean intensity of the tumor increased by (10 ± 1.8)%, the SD increase percentage was decreased from 49.98%to 14.26%and from 42.76%to 4.70%, suggesting the efficiency of the proposed algorithms for reducing PVEs in PET.

Aim To detect the effect of Bio on impro-ving insulin resistance and explore its molecular mech-anism. Methods The HepG2 liver cells were derivat-ed by high concentration insulin to establish the insulin resistance cell model, and the cells were intervened by Bio. The glucose consumption was measured by glu-cose oxidase and peroxidase ( GOD-POD) assay. The expression of PPARγmRNA was detected by RT-PCR. The expression of PPARγ protein was detected by Western blot method. Results The glucose consump-tion was significantly decreased in the insulin resist-ance cells after incubated with 1 . 72 × 10 -5 mol · L-1 insulin ( P<0. 05 ) . 10 -5 ,10 -6 ,10 -7 mol · L-1 Bio increased the glucose consumption 135%,62%,39%separately in the insulin resistance cells. RT-PCR a-nalysis of PPARγ showed that Bio raised the PPARγmRNA. Western blot analysis displayed that the pro-tein of PPARγ with Bio was increased. Conclusion Bio can improve the insulin resistance of the HepG2 cells, and the molecular mechanism may be relevant with raising PPARγ expression.