Adolescent ; Fibrous Dysplasia of Bone ; Humans ; Male ; Nasal Septum ; pathology

Adult ; Aged ; Endoscopy ; Female ; Headache ; etiology ; pathology ; Humans ; Male ; Middle Aged ; Nasal Mucosa ; pathology ; Nose ; abnormalities ; pathology

Adult ; Aged ; Endoscopy ; Female ; Humans ; Male ; Middle Aged ; Nasal Polyps ; psychology ; Otorhinolaryngologic Surgical Procedures ; Postoperative Period ; Retrospective Studies ; Sinusitis ; psychology ; Treatment Outcome ; Young Adult

Adult ; Aged ; Aged, 80 and over ; Endoscopy ; Epistaxis ; diagnosis ; surgery ; Female ; Hemostasis, Endoscopic ; Humans ; Male ; Middle Aged ; Retrospective Studies

A new feather-degrading bacterium was isolated from a local feather waste site and identified as Bacillus subtilis based on morphological, physiochemical, and phylogenetic characteristics. Screening for mutants with elevated keratinolytic activity using N-methyl-N'-nitro-N-nitrosoguanidine mutagenesis resulted in a mutant strain KD-N2 producing keratinolytic activity about 2.5 times that of the wild-type strain. The mutant strain produced inducible keratinase in different substrates of feathers, hair, wool and silk under submerged cultivation. Scanning electron microscopy studies showed the degradation of feathers, hair and silk by the keratinase. The optimal conditions for keratinase production include initial pH of 7.5, inoculum size of 2% (v/v), age of inoculum of 16 h, and cultivation at 23 degrees C. The maximum keratinolytic activity of KD-N2 was achieved after 30 h. Essential amino acids like threonine, valine, methionine as well as ammonia were produced when feathers were used as substrates. Strain KD-N2, therefore, shows great promise of finding potential applications in keratin hydrolysis and keratinase production.
Amino Acids ; biosynthesis ; Bacillus subtilis ; genetics ; metabolism ; Culture Media ; Hydrogen-Ion Concentration ; Keratins ; metabolism ; Mutation ; Peptide Hydrolases ; biosynthesis

No abstract available.
Tympanic Membrane Perforation* ; Tympanic Membrane*

OBJECTIVETo retrospectively study the clinical effects of eardrum flap area on the healing outcome following traumatic perforation.

METHODSTotally 291 traumatic eardrum perforations with in-/everted edges were included in this study. They were randomly divided into three groups and received conservative treatment, epidermal growth factor (EGF) via Gelfoam patching, or edge-approximation plus Gelfoam patching respectively. Patients in each group were further divided into two subgroups according to the eardrum flap area less than or equal to 1/2 or >1/2 of the perforation size. The healing rate and mean closure time after tympanic membrane perforation were evaluated at three months.

RESULTSOf the total 291 participants, 281 were included in the final statistical analysis. The area of curled edge did not affect the healing outcome significantly in any groups (P>0.05). The healing rate varied slightly: 90.7% vs 92.3% in spontaneous healing group, 98.2% vs 97.4% in EGF via Gelfoam patching group, and 96.5% vs 100% in edge-approximation plus Gelfoam patching group. In addition, in all groups the area of curled edge did not affect the mean closure time significantly (P>0.05). The closure time was (32.3+/-2.4) d vs (30.6+/-3.1) d in sponaneous healing group, (13.4+/-2.5) d vs (13.1+/-1.9) d in EGF via Gelfoam patching group, and (11.9+/-3.1) d vs (12.2+/-2.1) d in edge-approximation plus Gelfoam patching group.

CONCLUSIONThe eardrum flap area of traumatic eardrum perforation does not significantly affect the clinical outcomes.

Objective：This study was designed to investigate the outcome of double autologous hematopoietic stem cell transplantation(Double AHSCT) in hematological malignancies. Methods: The clinical data of 12 patients who underwent Double AHSCT between January 1995 and January 1999 were analyzed retrospectively and the outcome were compared with that of 17 patients who received single autologous hematopoietic stem cell transplantation (Single AHSCT) in the same period. Results: The duration of continuous remission in 12 patients undergoing Double AHSCT ranged from 6 to 68 months(mean 27 months). Among them, eight patients (66.7％ ) were still alive without relapse up to now. While one patient had relapsed 6 months after second grafting. Three patients died from diseases related to graft. The patients who received Single AHSCT had a continuous remission of 1－ 36 months after graft (mean 12 months). Six of the 17 patients were still alive in good condition. Eight patients relapsed and 3 patients died from diseases related to graft. Conclusion: Good outcome were showed in Double AHSCT for the treatment of hematological malignancies. The 18 month survival rate in Double AHSCT tended to be better than that in Single AHSCT.

Objective To explore the feasibility of the deep convolutional neural network (DCNN) judging the indications and prognosis of the total knee arthroplasty based on the trained DCNN computer learning system.Methods C1FAR-10 DCNN model based on TensorFlow (an open source system,Google,USA) optimized by Alex Krizhevsky were constructed.There were 400 cases with knee osteoarthritis from different databases used for analysis.Three hundred patients underwent total knee arthroplasty,while 100 did not.X-ray of 200 preoperative cases from the 400 cases and their enlarged image (50 times) were applied for training DCNN,while the enlarged images from other 200 cases were used to test the DCNN.The correlation and the regression between judgment of the DCNN and clinical truth were analyzed.The clinical truths were rechecked three times and were confirmed by treatment results.Pearson correlation and linear regression analysis were used.The relation test of the software was only used as a reference.Results There was no significant difference between the baseline of cases for learning and test.After learning 200 cases,the DCNN judged the 10 000 cases enlarged from remaining 200 cases.The correlation between the DCNN judgment and the clinical truth was not significant (r=0.000,F=0.001,P=0.970).False positive was observed in 1 681 cases,false negative in 3 296.After enlarged to 10 000 images,the correlation between the two judgments was significant (F=11 228.735,P=0.000,r=0.727 and R2=0.529).The software detection precision was 0.860.Conclusion DCNN can be applied in judging the indications of the total knee arthroplasty.Large sample size can improve the accuracy of the judgment significantly.

Cloud technology and the Internet of things ( IOT) technology can be used in building the patient-centered critical care medical information platform.The platform could inenable medical staff to efficiently obtain critical care medical information, and raise critical patients′ cure rates. The authors introduced the critical process of rapidly building and improving the urgent care medical information integration platform in a campus of the First Affiliated Hospital of Zhejiang University Medical School.The IOT platform could effectively interconnect a variety of critical care medical equipments, and features such functions as vital signs monitoring and life support, bedside treatment data retrieval, remote diagnosis and treatment, and cloud sharing. The platform featured the advantages of complete information integration, fast construction, and satisfactory system extensibility. It could improve the medical work efficiency, improve the effect of critical care, and reduce the frequency of contact with patients, hence providing references for rapidly establishing a vital care treatment platform for public health events.