As cardiac magnetic resonance imaging technology advances,T1 mapping has emerged as a non-invasive method offering visual and quantitative insights into myocardial fibrosis,edema,and infiltration associated with cardiac dis-eases.The application of T1 mapping in myocardial diseases allows for evaluating both focal and diffuse myocardial fibro-sis,playing a crucial clinical role in the differentiation,treatment,and prognostic risk assessment of diseases.This arti-cle aims to provide a thorough overview of the clinical applications of T1 mapping in patients with cardiomyopathy,summa-rizing the commonly employed scanning techniques and imaging principles.

As an independent first-level discipline,an appropriate classification of nursing science is significant.In China,each nursing degree-granting institution has developed its own secondary-level discipline directions based on its research characteristics and strengths,with varying names and research scopes.Furthermore,there is no unified global classification system.This paper,based on the characteristics of nursing as a discipline and combined with China's discipline classification principles,used literature analysis,comprehensive classification,philosophical reflection,logical reasoning,and expert consultation methods to explore the connotation of nursing,its unique research objects and scope,and to construct a secondary-level discipline classification system for nursing science that is suitable for China's national conditions.The paper also discussed the challenges faced by the nursing discipline and its future development directions,providing theoretical and practical guidance for the development of the nursing discipline.

Objective:To evaluate the impact of donor characteristics on the prognosis of myelodysplastic syndrome (MDS) patients undergoing haplo-identical transplantation (HIDT) .Methods:A retrospective analysis of 203 MDS patients who received HIDT was conducted to evaluate how donor factors influenced transplant outcomes.Results:In MDS patients undergoing haploidentical transplantation, donors over 50 years were associated with higher EBV reactivation (2-year cumulative incidence 42.9% vs 22.0% for <50 years old; P=0.010). Female donors were linked to increased severe chronic GVHD compared with male donors (2-year incidence 11.9% vs 4.0% ; P=0.017). Additionally, 2-year overall survival (OS) was slightly lower with female donors than male donors (56.6% vs 69.7% ), but the difference was not statistically significant ( P=0.073). Donor-recipient blood type did not affect post-transplant OS or cumulative relapse rates. Donor-recipient kinship analysis revealed that child donors, compared to haploidentical sibling or parent donors, had lower rates of grade Ⅱ–Ⅳ acute GVHD (27.2% vs 45.7% vs 53.5%, P=0.007) and 2-year EBV reactivation (13.9% vs 29.3% vs 38.9%, P=0.001). For donors under 20 years, donor gender did not significantly affect 2-year OS ( P=0.913), relapse-free survival ( P=0.716), or 100-day incidence of grade Ⅱ–Ⅳ acute GVHD ( P=0.359) . Conclusion:For MDS patients undergoing HIDT, donors over 50 should be avoided. Male and child donors are preferred, while donor gender does not significantly affect outcomes if the donor is under 20 years old.

Aim To reveal the mechanism of CIP4 homologs protein 1(RICH1)are involved in the regu-lation of myocardial fibrosis.Methods Mouse cardiac fibroblasts(MCFs)cells were treated with transforming growth factor-β(TGF-β1)to induce the formation of a myocardial fibrosis cell model;the level of the target protein was detected by Western blotting;and the RICH1 gene was detected by transfection of the cells with plasmid.The RICH1 gene was overexpressed(RICH 1 OE)using plasmid transfection;the RICH1 gene was silenced using siRNA fragment(siRICH1);and the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3 a1,and Acta2,were de-tected using RT-qPCR.Results RICH1 was signifi-cantly down-regulated in TGF-β1-treated MCFs;the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3a1,and Acta2,were down-regu-lated in the RICH1 OE+TGF-β1 group;and in the siRICH1+TGF-β1 group,myocardial fibrosis marker genes,such as Col1 a1,Col3a1 and Acta2 were up-regulated at the expression level;phosphorylated SMAD2(p-SMAD2)and phosphorylated SMAD3(p-SMAD3)levels were down-regulated in the siRICH1 OE+TGF-β1 group.p-SMAD2 and P-SMAD3 levels were upregulated in the siRICH1+TGF-β1 group.Conclusion RICH1 inhibits TGF-β1-induced myo-cardial fibrosis;RICH1 inhibits TGF-β1-induced myo-cardial fibrosis by negatively regulating the SMAD2/3 signaling pathway.

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.

Aim To reveal the mechanism of CIP4 homologs protein 1(RICH1)are involved in the regu-lation of myocardial fibrosis.Methods Mouse cardiac fibroblasts(MCFs)cells were treated with transforming growth factor-β(TGF-β1)to induce the formation of a myocardial fibrosis cell model;the level of the target protein was detected by Western blotting;and the RICH1 gene was detected by transfection of the cells with plasmid.The RICH1 gene was overexpressed(RICH 1 OE)using plasmid transfection;the RICH1 gene was silenced using siRNA fragment(siRICH1);and the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3 a1,and Acta2,were de-tected using RT-qPCR.Results RICH1 was signifi-cantly down-regulated in TGF-β1-treated MCFs;the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3a1,and Acta2,were down-regu-lated in the RICH1 OE+TGF-β1 group;and in the siRICH1+TGF-β1 group,myocardial fibrosis marker genes,such as Col1 a1,Col3a1 and Acta2 were up-regulated at the expression level;phosphorylated SMAD2(p-SMAD2)and phosphorylated SMAD3(p-SMAD3)levels were down-regulated in the siRICH1 OE+TGF-β1 group.p-SMAD2 and P-SMAD3 levels were upregulated in the siRICH1+TGF-β1 group.Conclusion RICH1 inhibits TGF-β1-induced myo-cardial fibrosis;RICH1 inhibits TGF-β1-induced myo-cardial fibrosis by negatively regulating the SMAD2/3 signaling pathway.

Objective To design a performance testing platform to evaluate the working status and performance characteristics of the ventilator proportional solenoid valve.Methods The performance testing platform had its hardware including a high-pressure gas source,a pressure regulating valve,sensors and etc,and its software designed based on PyQt5 and composed of several modules for data acquisition,parameter setting,image display,indicator computation,result output and etc.Two kinds of proportional solenoid valves(Valve 1、Valve2)were selected for static and dynamic tests to verify the performance of the platform.Results The platform developed facilitated the proportional solenoid valve to carry out accurate computation of static and dynamic indicators at real time and time domain and waveform feature extraction of sensor data by precision control and data acquisition for the proportional solenoid valve.Static tests showed that Valve 1 gained advantages over Valve 2 in static flow characteristics involving in lowered repeatability,return error and offset while enhanced stability;dynamic tests indicated Valve 2 had rapid flow variations and significant flow fluctuation impacts,Valve 1 showed smooth dynamic response changes,and Valve 2 behaved better than Valve 1 in dynamic performance.Conclusion The testing platform developed comprehensively demonstrates the performance characteristics and working performance of the ventilator proportional solenoid valve,which is of great significance to enhance the reliability and safety of the ventilator.[Chinese Medical Equipment Journal,2025,46(1):13-19]

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.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

As cardiac magnetic resonance imaging technology advances,T1 mapping has emerged as a non-invasive method offering visual and quantitative insights into myocardial fibrosis,edema,and infiltration associated with cardiac dis-eases.The application of T1 mapping in myocardial diseases allows for evaluating both focal and diffuse myocardial fibro-sis,playing a crucial clinical role in the differentiation,treatment,and prognostic risk assessment of diseases.This arti-cle aims to provide a thorough overview of the clinical applications of T1 mapping in patients with cardiomyopathy,summa-rizing the commonly employed scanning techniques and imaging principles.