Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Objective:To analyze the research hotspots of hyperbaric oxygen nursing in China.Methods:We retrieved the research literature on hyperbaric oxygen nursing in China from China National Knowledge Infrastructure (CNKI) and Wanfang Data, used the Statistical Analysis Toolkit for Informetrics (STAI 3.2) to make statistical and word frequency analysis on the key words of those literature, and constructed a co-word matrix. Then we carried out cluster analysis by using SPSS 23.0 and analyzed the research hotspots according to the tree diagram.Results:A total of 704 papers were retrieved, and 30 high-frequency key words were gained. Based on that, five hotspots were obtained by cluster analysis as follows: hyperbaric oxygen nursing solutions and measures, the role of psychiatric and mental health nursing in hyperbaric oxygen therapy, the effect and value of risk management in hyperbaric oxygen therapy, nursing measures in hyperbaric oxygen therapy for patients received tracheostomy, and the application of different nursing methods or models on patients in hyperbaric oxygen therapy.Conclusion:Based on word frequency analysis and co-word cluster analysis, this study objectively reveals the current research hotspots of hyperbaric oxygen nursing in China, which can be compared with overseas research hotspots in the same field to direct future research.

Objective:To analyze the research hotspots of hyperbaric oxygen nursing in China.Methods:We retrieved the research literature on hyperbaric oxygen nursing in China from China National Knowledge Infrastructure (CNKI) and Wanfang Data, used the Statistical Analysis Toolkit for Informetrics (STAI 3.2) to make statistical and word frequency analysis on the key words of those literature, and constructed a co-word matrix. Then we carried out cluster analysis by using SPSS 23.0 and analyzed the research hotspots according to the tree diagram.Results:A total of 704 papers were retrieved, and 30 high-frequency key words were gained. Based on that, five hotspots were obtained by cluster analysis as follows: hyperbaric oxygen nursing solutions and measures, the role of psychiatric and mental health nursing in hyperbaric oxygen therapy, the effect and value of risk management in hyperbaric oxygen therapy, nursing measures in hyperbaric oxygen therapy for patients received tracheostomy, and the application of different nursing methods or models on patients in hyperbaric oxygen therapy.Conclusion:Based on word frequency analysis and co-word cluster analysis, this study objectively reveals the current research hotspots of hyperbaric oxygen nursing in China, which can be compared with overseas research hotspots in the same field to direct future research.

Objective To investigate the polymorphisms of the 19 Y-STR loci in the Han population in Northeast China,and analyze the genetic relationships of 15 ethnic groups in northeast Asia region,and to evaluate their forensic value and population genetic value.Methods The 19 Y-STR unrelated Han males in 200 unrelated Han males in Northeast China were amplified with the Y-filer system,and the PCR products were analyzed by the 310 Genetic Analyzer.The AMOVA analysis,cluster analysis and MDS analysis were calculated by Arelquin3.11,Mega4.1 and SPSS17.0.Results The polymorphisms of 19 Y-STR loci in the Han population in Northeast China had generally higher gene diversity value which were ranged from 0.350 9 (DYS391) to 0.971 1 (DYS385a/b),and totally 200 haplotypes were observed.The 19 Y-STR loci displayed high genetic polymorphisms in the Han population in Northeast China,indicating that these 19 loci were useful genetic markers for forensic personal identification and paternity testing.There were distinctions among 15 ethnic groups.The genetic distance between 15 ethnic groups were ranged from 0.000 9 to 0.643 2,and the conclusion of cluster analysis and MDS analysis were similar to the ethnogeny research and ethnic migration history.Conclusion The 19 Y-STR loci displayed high genetic polymorphisms in the Han population in Northeast China,and these 19 loci were useful genetic markers for forensic personal identification and paternity testing.

ObjectiveTo evaluate the effect and complication of whole γ-knife stereotactic radiotherapy on the non-small cell lung cancer and explore the value of γ-knife stereotactic radiotherapy in treatment of non - small cell lung cancer. Methods42 patients with non -small cell lung cancer:γ-knife radiotherapy patients ,4 ～ 8Gy once a day,five times a week,4 ～ 10times and 40 ～50Gy in total. ResultsThe overall response rate (CR + PR) in γ-knife was 71.4％. The1-,2-and 3-year survival rates were 95.5％, 59.5％, 33.3％. ConclusionCompared with conventional radiation,γ-knife stereotactic radiotherapy could achieve tumor dose escalation,and give the normal tissue better protection at the same time. It could improve the tumor control rate of non-small cell lung cancer,improve long survival rate,and so could reduce the radiation reaction.

The objective of this study was to prepare a biodegradable poly (DL-lactide) injectable gel of tinidazole. The formulation parameters evaluated in this study included polymer molecular weight, polymer concentration, solvent and drug loading, and orthogonal design was used to optimize the formulation. The preferable formulation was that 30% (w/w) poly(DL-lactide) (MW is 5 700) dissolved in 70% (w/w) N-methyl-2-pyrrolidone with 4%-6% (w/w) tinidazole.
Delayed-Action Preparations ; Drug Carriers ; chemistry ; Gels ; Lactic Acid ; chemistry ; Polyesters ; Polymers ; chemistry ; Technology, Pharmaceutical ; methods ; Tinidazole ; administration & dosage

Polylactide is a biodegradable and biocompatible biomaterial. Based on the PLA (Polylactide) membrane, we have produced a new PLA/PTMC (Polytrimethylene carbonate) blends membrane. The biological properties of this membrane were studied by cell toxicity experiment, acute toxicity experiment, skin irritant experiment, sensitization test, hemolytic test, micronucleus test and subcutaneous implantation test. The results demonstrated that the blends membrane has no toxicity and it does not cause skin irritation, hypersensitive reaction and hemolysis. The micronucleus ratio of the membrane is 1.3% +/- 1.0%, being less than 3%. The result of medullary micronucleus test was reported negative. The wounds were free from suppuration and necrosis after subcutaneous implantation in all periods. In the experimental application of this member to preventing adhesion after rabbit intestine operation, the membrane demonstrated good effect. In conclusion, PLA/PTMC blends membrane is a material with good biocompatibility.
Animals ; Biocompatible Materials ; chemistry ; Dioxanes ; chemistry ; Female ; Intestinal Diseases ; prevention & control ; surgery ; Male ; Materials Testing ; Membranes, Artificial ; Mice ; Polyesters ; chemistry ; Polymers ; chemistry ; Rabbits ; Random Allocation ; Tissue Adhesions ; prevention & control