Objective To construct a decision support education program for the family members of patients with advanced cancer and to investigate its application effects,so as to improve understanding and acceptance of hospice care for family members of advanced cancer patients.Methods Using the Ottawa Decision Support Framework as a theoretical guide,the program was initially drafted based on a literature review,qualitative interview and expert consultation.From September 2023 to January 2024,a convenience sampling method was used to select patients' families in a tertiary-level hospital in Tianjin as the research subjects,and they were randomly divided into an experimental group and a control group.The experimental group received the decision support education program in addition to routine care,while the control group received routine care.Family members' knowledge about hospice,the scores on the Death Attitude Profile Scale,and their willingness to choose hospice care were compared before and after the interventions.Results The program finally included 4 first-level items,15 second-level items,and 59 third-level items.During the program implementation phase,4 cases withdrew from the study,resulting in 46 cases in the experimental group and 47 cases in the control group.After intervention,the experimental group had higher scores on hospice knowledge and positive attitude towards death than the control group,while scores on negative attitude towards death were lower(P＜0.05);their willingness to choose hospice care for themselves and for the patients was higher than that of the control group(P＜0.05).Conclusion The hospice care decision support education program is scientific,feasible and practical,which can improve the knowledge of hospice care of the family members,improve their attitude towards death,and ultimately improve their willingness to choose hospice care.

Objective To construct a decision support education program for the family members of patients with advanced cancer and to investigate its application effects,so as to improve understanding and acceptance of hospice care for family members of advanced cancer patients.Methods Using the Ottawa Decision Support Framework as a theoretical guide,the program was initially drafted based on a literature review,qualitative interview and expert consultation.From September 2023 to January 2024,a convenience sampling method was used to select patients' families in a tertiary-level hospital in Tianjin as the research subjects,and they were randomly divided into an experimental group and a control group.The experimental group received the decision support education program in addition to routine care,while the control group received routine care.Family members' knowledge about hospice,the scores on the Death Attitude Profile Scale,and their willingness to choose hospice care were compared before and after the interventions.Results The program finally included 4 first-level items,15 second-level items,and 59 third-level items.During the program implementation phase,4 cases withdrew from the study,resulting in 46 cases in the experimental group and 47 cases in the control group.After intervention,the experimental group had higher scores on hospice knowledge and positive attitude towards death than the control group,while scores on negative attitude towards death were lower(P＜0.05);their willingness to choose hospice care for themselves and for the patients was higher than that of the control group(P＜0.05).Conclusion The hospice care decision support education program is scientific,feasible and practical,which can improve the knowledge of hospice care of the family members,improve their attitude towards death,and ultimately improve their willingness to choose hospice care.

Currently, biomanufacturing technology and industry are receiving worldwide attention. However, there are still great challenges on bioprocess optimization and scale-up, including: lacing the process detection methods, which makes it difficult to meet the requirement of monitoring of key indicators and parameters; poor understanding of cell metabolism, which arouses problems to rationally achieve process optimization and regulation; the reactor environment is very different across the scales, resulting in low efficiency of stepwise scale-up. Considering the above key issues that need to be resolved, here we summarize the key technological innovations of the whole chain of fermentation process, i.e., real-time detection-dynamic regulation-rational scale-up, through case analysis. In the future, bioprocess design will be guided by a full lifecycle in-silico model integrating cellular physiology (spatiotemporal multiscale metabolic models) and fluid dynamics (CFD models). This will promote computer-aided design and development, accelerate the realization of large-scale intelligent production and serve to open a new era of green biomanufacturing.
Bioreactors ; Computer Simulation ; Fermentation ; Hydrodynamics

Industrial bioprocess is a complex systematic process and bio-manufacturing can be realized on the basis of understanding the metabolism process of living cells. In this article, the multi-scale optimization principle and practice of industrial fermentation process are reviewed, including multi-scale optimizing theory and equipment, on-line sensing technology for cellular macroscopic metabolism, and correlated analysis of physiological parameters. Furthermore, intelligent control of industrial bioprocess is further addressed, in terms of new sensing technology for intracellular physiological metabolism, big database establishment and data depth calculation, intelligent decision.
Bioreactors ; Biotechnology ; Fermentation ; Industrial Microbiology

OBJECTIVETo investigate the changes in seminal paraoxonase-1 (PON-1) activity in infertile male patients and assess the clinical value of seminal PON-1 examination in the diagnosis of male infertility.

METHODSSeminal PON-1 activity was detected by spectrophotometric method in the semen samples from 270 infertile male patients and 50 health fertile males (control), and the semen parameters were analyzed using a computer-assisted semen analysis system.

RESULTSIn the male infertility group, seminal PON-1 activity was 1.22∓0.76 U/L in the patients with normal semen parameters and 0.64∓0.54 in the patients with abnormal semen parameters, both significantly lower than that of the control group (3.17∓0.89 U/L, P<0.01). In patients with asthenospermia, the declined sperm motility was associated with decreased seminal PON-1 activity, which showed significant differences between patients with mild, moderate, and severe asthenospermia. Seminal PON-1 activity was positively correlated with the percentage of sperm viability (P<0.01), but inversely with the percentage of morphologically abnormal sperm (P<0.01). According to ROC curves, the area of seminal PON-1 activity under the curve was 0.907, showing a statistical significance (P<0.01).

CONCLUSIONThe detection of seminal PON-1 activity can provide a laboratory evidence for the diagnosis of male infertility.

Adult ; Aryldialkylphosphatase ; metabolism ; Case-Control Studies ; Humans ; Infertility, Male ; diagnosis ; metabolism ; Male ; Semen ; metabolism ; Semen Analysis ; Young Adult