After being treated with acupuncture, some patients with idiopathic tinnitus may experience a short-term aggravation of tinnitus symptoms on the original basis. These symptoms can be gradually relieved and the overall condition fluctuates towards recovery. This phenomenon has brought some difficulties to patients and clinicians. Based on the academic view of TCM, "destroying pathogens and re-building balance", and in association with the existing understanding of acupuncture in modern medicine for tinnitus, this paper briefly discusses the mechanism and influencing factors of symptom fluctuation in patients with idiopathic tinnitus after acupuncture treatment in terms of both TCM and modern medicine, and proposes the future direction in the research of symptom fluctuation, so as to promote the recognition of clinicians and patients on symptom fluctuation and make rational use of its positive effects. Besides, it is hoped that more researchers will pay attention to symptom fluctuation and advance the exploration of it in academic field.
Humans ; Tinnitus/physiopathology* ; Acupuncture Therapy ; Male ; Female

Objective:To construct a quality analysis model by combining the strengths-weaknesses-opportunities-threats(SWOT)analysis method and analytic hierarchy process(AHP),and to explore its application value in the quality management for operation of first aid equipment of hospital.Methods:The advantages,disadvantages,opportunities and threats of management for equipment were analyzed according to SWOT model,and the operation quality of equipment was positioning analyzed by AHP,and comprehensive management countermeasures were formulated from the aspects of personnel,system,preventive maintenance,information management and cooperation between institutes and enterprises.A total of 215 first aid equipment in clinical use in Qilu Hospital of Shandong University from January 2021 to December 2024 were selected.In these equipment,171 equipment from January 2021 to December 2022 were managed by using the conventional management mode,and 195 equipment(including 151 using equipment under the conventional management mode and 44 newly added equipment)from January 2023 to December 2024 were managed by using the strategic management mode with quality analysis model.The operation quality and management level of the two management modes for the equipment were compared.A self-made survey questionnaire was used to investigate the satisfaction scores of nurses of operating equipment,doctors of clinical department,medical engineers and administrators for the service effects of equipment under the two management modes,who use and manage the first aid equipment in hospital.Results:The average failure rate,risk rate,alarm rate and unqualified rate of first aid equipment in hospitals,which adopted the strategic management mode,were respectively(0.72±0.42)%,(1.08±0.70)%,(1.18±0.48)%and(1.33±0.63)%,all of which were lower than those of the conventional management mode,and the differences were statistically significant(t=3.629,2.792,2.179,2.396,P<0.05).The management level scores of monitors,ventilators,defibrillators,high-frequency electrosurgical knives and other first aid equipment,which adopted the strategic management mode,were respectively(94.69±1.68),(95.84±2.52),(95.38±2.85),(95.69±2.02)and(94.17±4.89)points,all of which were higher than those of the conventional management mode,and the differences were statistically significant(t=4.797,2.403,2.390,3.825,2.196,P<0.05).The satisfaction scores of nurses of operating equipment,doctors of clinical department,medical engineers and administrators for first aid equipment of adopting strategic management mode were all higher than those of adopting conventional management mode,and the difference were statistically significant(t=3.666,3.336,4.275,4.292,P<0.05).Conclusion:The quality analysis model of first aid equipment of hospital can improve the operation quality and management level of first aid equipment,and reduce the equipment's failure rate and the unqualified rate of quality inspection,and improve the service effect of first aid equipment.

Aim To investigate the intervention effect of Rehmannia radix water extract on bleomycin(BLM)-induced pulmonary fibrosis in mice combined with metabolomics and to reveal the potential mechanism,in order to provide new ideas for clinical treatment of pul-monary fibrosis.Methods Male C57BL/6N mice were randomly divided into the control group,model group,pirfenidone group(positive control,PFD,270 mg·kg-1),and low dose(DH-L,4.55 g·kg-1)group,medium dose(DH-M,9.1 g·kg-1)group and high dose(DH-H,18.2 g·kg-1)group of Rehman-nia.Except for the control group,BLM(5 mg·kg-1)was instilled into the trachea to establish the model of pulmonary fibrosis in the other groups.The survival rate,lung index and blood oxygen saturation of mice in each group were evaluated.HE and Masson staining were used to observe the pathological changes of lung tissue.WBP was used to detect lung function.Flow cytometry was used to detect the apoptosis of primary lung cells,ROS and immune cells.ELISA was used to detect the levels of fibrosis markers and inflammatory factors(α-SMA,collagen Ⅰ,collagen Ⅲ,TGF-β1,TNF-α,IL-1 β,and IL-6).Biochemical method was employed to detect the contents of GSH-Px,T-SOD and MDA.Liquid chromatograph mass spectrometer(LC-MS)metabolomics was used to analyze the changes of serum metabolic profile.Results Water extract of Re-hmannia significantly increased the survival rate,oxy-gen saturation and lung function of mice with pulmona-ry fibrosis,reduced the lung coefficient,ameliorated pathological damage and collagen deposition in lung tissue,reduced the levels of apoptosis and oxidative stress,and down-regulated the levels of inflammatory factors in lung tissue.It regulated the levels of metabo-lites such as bile acid metabolism,sphingolipid metabo-lism,and unsaturated fatty acid metabolism.Conclu-sions Water extract of Rehmannia inhibits lung injury and collagen deposition in mice with pulmonary fibrosis by inhibiting inflammatory response,which may be a-chieved by regulating the levels of inflammatory factors through the metabolic pathways of bile acid and sphin-golipid.

The advantages of deep learning were introduced when appled to CT imaging,and the present situation of deep learning applied to cardiovascular CT imaging was reviewed in terms of image quality enhancement and de-noising,cardiac structure segmentation and quantitative measurement.The problems of deep learning and challenges encountered during the application to cardiovascular CT imaging were analyzed,and the future development directions included cross-institutional collaborative research,enhanced standardization of the data acquisition process and improved model interpretability.[Chinese Medical Equipment Journal,2025,46(10):97-105]

AIM:To investigate the role of BRCA2 and CDKN1A interacting protein(BCCIP)in gastric can-cer(GC)and elucidate its mechanism in mediating cisplatin resistance.METHODS:The BCCIP mRNA expression was assessed in GC tissues(n=415)and normal tissues(n=34)using The Cancer Genome Atlas(TCGA)database.In an in-ternal cohort(n=36 for RT-qPCR;n=5 for Western blot;n=30 for immunohistochemistry),BCCIP expression at both mRNA and protein levels was examined in GC tissues and paired adjacent normal tissues.Human GC cell lines AGS and HGC27 were cultured in vitro and treated with cisplatin in a dose(0,2,4,6,8 and 10 μmol/L)-and time(0,6,24 and 48 h)-dependent manner,followed by Western blot analysis of BCCIP expression.Stable BCCIP knockdown cell lines(shRNA#1 and shRNA#2 groups)were generated via lentiviral transfection,with empty vector-transfected cells serving as controls(vector group).Flow cytometry and colony formation assay were performed to evaluate the effects of BCCIP on apoptosis and colony-forming ability of GC cells treated with cisplatin.Western blot was utilized to detect the changes of BCCIP protein expression levels in the cytoplasm and nucleus of GC cells after cisplatin(2.5 and 1.0 μmol/L)treatment,as well as the effects of BCCIP on the expression of DNA damage marker γ-H2AX and apoptosis-related proteins cleaved caspase-9 and cleaved caspase-3,and the activation of checkpoint kinase 1(CHK1)after cisplatin(2.5 and 1.0 μmol/L)treatment.Immunofluorescence was conducted to observe the effect of BCCIP on γ-H2AX expression in GC cells treated with cisplatin(2.5 and 1.0 μmol/L).RESULTS:The BCCIP expression was significantly up-regulated in GC tissues compared with normal tissues(P<0.01).Cisplatin induced up-regulation of BCCIP expression in a dose-and time-depen-dent manner.Knockdown of BCCIP significantly enhanced cisplatin-induced apoptosis(P<0.01)and reduced colony-forming ability(P<0.05)of GC cells.Knockdown of BCCIP promoted the expression of γ-H2AX,but inhibited the activa-tion of CHK1 after cisplatin treatment,with increased protein levels of cleaved caspase-9 and cleaved caspase-3(P<0.01).CONCLUSION:Cisplatin promotes the expression of BCCIP in GC cells.BCCIP confers cisplatin resistance in GC cells by suppressing apoptosis through modulation of DNA damage response pathways.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

The advantages of deep learning were introduced when appled to CT imaging,and the present situation of deep learning applied to cardiovascular CT imaging was reviewed in terms of image quality enhancement and de-noising,cardiac structure segmentation and quantitative measurement.The problems of deep learning and challenges encountered during the application to cardiovascular CT imaging were analyzed,and the future development directions included cross-institutional collaborative research,enhanced standardization of the data acquisition process and improved model interpretability.[Chinese Medical Equipment Journal,2025,46(10):97-105]

Objective:To construct a quality analysis model by combining the strengths-weaknesses-opportunities-threats(SWOT)analysis method and analytic hierarchy process(AHP),and to explore its application value in the quality management for operation of first aid equipment of hospital.Methods:The advantages,disadvantages,opportunities and threats of management for equipment were analyzed according to SWOT model,and the operation quality of equipment was positioning analyzed by AHP,and comprehensive management countermeasures were formulated from the aspects of personnel,system,preventive maintenance,information management and cooperation between institutes and enterprises.A total of 215 first aid equipment in clinical use in Qilu Hospital of Shandong University from January 2021 to December 2024 were selected.In these equipment,171 equipment from January 2021 to December 2022 were managed by using the conventional management mode,and 195 equipment(including 151 using equipment under the conventional management mode and 44 newly added equipment)from January 2023 to December 2024 were managed by using the strategic management mode with quality analysis model.The operation quality and management level of the two management modes for the equipment were compared.A self-made survey questionnaire was used to investigate the satisfaction scores of nurses of operating equipment,doctors of clinical department,medical engineers and administrators for the service effects of equipment under the two management modes,who use and manage the first aid equipment in hospital.Results:The average failure rate,risk rate,alarm rate and unqualified rate of first aid equipment in hospitals,which adopted the strategic management mode,were respectively(0.72±0.42)%,(1.08±0.70)%,(1.18±0.48)%and(1.33±0.63)%,all of which were lower than those of the conventional management mode,and the differences were statistically significant(t=3.629,2.792,2.179,2.396,P<0.05).The management level scores of monitors,ventilators,defibrillators,high-frequency electrosurgical knives and other first aid equipment,which adopted the strategic management mode,were respectively(94.69±1.68),(95.84±2.52),(95.38±2.85),(95.69±2.02)and(94.17±4.89)points,all of which were higher than those of the conventional management mode,and the differences were statistically significant(t=4.797,2.403,2.390,3.825,2.196,P<0.05).The satisfaction scores of nurses of operating equipment,doctors of clinical department,medical engineers and administrators for first aid equipment of adopting strategic management mode were all higher than those of adopting conventional management mode,and the difference were statistically significant(t=3.666,3.336,4.275,4.292,P<0.05).Conclusion:The quality analysis model of first aid equipment of hospital can improve the operation quality and management level of first aid equipment,and reduce the equipment's failure rate and the unqualified rate of quality inspection,and improve the service effect of first aid equipment.

AIM:To investigate the role of BRCA2 and CDKN1A interacting protein(BCCIP)in gastric can-cer(GC)and elucidate its mechanism in mediating cisplatin resistance.METHODS:The BCCIP mRNA expression was assessed in GC tissues(n=415)and normal tissues(n=34)using The Cancer Genome Atlas(TCGA)database.In an in-ternal cohort(n=36 for RT-qPCR;n=5 for Western blot;n=30 for immunohistochemistry),BCCIP expression at both mRNA and protein levels was examined in GC tissues and paired adjacent normal tissues.Human GC cell lines AGS and HGC27 were cultured in vitro and treated with cisplatin in a dose(0,2,4,6,8 and 10 μmol/L)-and time(0,6,24 and 48 h)-dependent manner,followed by Western blot analysis of BCCIP expression.Stable BCCIP knockdown cell lines(shRNA#1 and shRNA#2 groups)were generated via lentiviral transfection,with empty vector-transfected cells serving as controls(vector group).Flow cytometry and colony formation assay were performed to evaluate the effects of BCCIP on apoptosis and colony-forming ability of GC cells treated with cisplatin.Western blot was utilized to detect the changes of BCCIP protein expression levels in the cytoplasm and nucleus of GC cells after cisplatin(2.5 and 1.0 μmol/L)treatment,as well as the effects of BCCIP on the expression of DNA damage marker γ-H2AX and apoptosis-related proteins cleaved caspase-9 and cleaved caspase-3,and the activation of checkpoint kinase 1(CHK1)after cisplatin(2.5 and 1.0 μmol/L)treatment.Immunofluorescence was conducted to observe the effect of BCCIP on γ-H2AX expression in GC cells treated with cisplatin(2.5 and 1.0 μmol/L).RESULTS:The BCCIP expression was significantly up-regulated in GC tissues compared with normal tissues(P<0.01).Cisplatin induced up-regulation of BCCIP expression in a dose-and time-depen-dent manner.Knockdown of BCCIP significantly enhanced cisplatin-induced apoptosis(P<0.01)and reduced colony-forming ability(P<0.05)of GC cells.Knockdown of BCCIP promoted the expression of γ-H2AX,but inhibited the activa-tion of CHK1 after cisplatin treatment,with increased protein levels of cleaved caspase-9 and cleaved caspase-3(P<0.01).CONCLUSION:Cisplatin promotes the expression of BCCIP in GC cells.BCCIP confers cisplatin resistance in GC cells by suppressing apoptosis through modulation of DNA damage response pathways.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.