Objective To explore the pioneering symptoms of the gastrointestinal symptom cluster and their influencing factors in gastric cancer patients with chemotherapy.Methods Based on the hospital's management system for scientific research data,463 gastric cancer patients with chemothera-py were surveyed through multicenter collaboration by the corresponding module of the MD Anderson Symptom Inventory(MDASI),the Chinese Medicine Constitution Classification and Identification Standard,and the Chinese Medicine SyndromeIdentification Standard for Gastric Cancer.IBM SPSS Statistic 22.0 and IBM SPSS Modeler 18.0 were used for data analysis.Results The first occurrence of dry mouth in the gastrointestinal symptom cluster of gastric cancer patients with chemotherapy was(22.99±10.70)hours after chemotherapy.The support,confidence,and lift for the association be-tween dry mouth and decreased appetite were 62.2％,94.8％and 1.52,respectively;for dry mouth and nausea,the numerical values were 62.2％,89.6％and 1.44;for dry mouth and vomiting,the numerical values were 62.2％,79.5％and 1.28.The results of one-way ANOVA and multivariate linear regression analysis showed that alcohol consumption,syndrome of stomach heat injuring yin,and phlegm-dampness constitution were independent influencing factors for dry mouth in gastric cancer patients with chemotherapy(P＜0.05).Conclusion Dry mouth,as a pioneering symptom of the gastroin-testinal symptom cluster,is of great significance in clinical assessment and management.Improved assessment of dry mouth can provide a basis for the construction of subsequent risk prediction model,the formulation of targeted interventions,and the enhancement of symptom management efficiency.

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

Objective:To investigate the diagnostic efficacy of time-dependent diffusion MRI (t d-dMRI)-derived microstructural parameters for clinically significant prostate cancer (csPCa) and their associations with the pathological grade of prostate cancer(PCa) based on the International Society of Urological Pathology (ISUP) grades. Methods:This cross-sectional study prospectively enrolled 196 patients suspected of PCa from March 2023 to March 2024 at the First Affiliated Hospital, Sun Yat-Sen University. All patients underwent multiparametric MRI and t d-dMRI to obtain microstructural parameters, including cell diameter (d), intracellular volume fraction (f in), extracellular diffusion coefficient (D ex), cellularity, and apparent diffusion coefficient (ADC) value at oscillation frequencies of 33 Hz, 17 Hz, 0 Hz (ADC 33, ADC 17, and ADC 0). Pathologically, 95 cases were classified as csPCa (ISUP 2-5), and the rest 101 cases were classified as non-csPCa (benign or ISUP 1). Comparison of these microstructural metrics was made between csPCa and non-csPCa groups by independent t-tests or Mann-Whitney U tests, and multivariable logistic regression was used to identify independent predictors. A combined diagnostic model was then constructed based on the independent predictors. The receiver operating characteristic curve analysis was used to evaluate the diagnostic performance. Finally, in PCa, the correlation between microstructural parameters and ISUP grades was investigated by Spearman correlation. Results:The t d-dMRI measurements, including d, f in, cellularity, ADC 33,ADC 17 and ADC 0, were significantly different between csPCa and non-csPCa groups (All P<0.05). But D ex was not significantly different between the two groups ( Z=-1.27, P=0.204). The area under the receiver operating characteristic curve (AUC) for diagnosing csPCa were 0.701 (95% CI 0.628-0.775) for d, 0.869 (95% CI 0.819-0.920) for f in, 0.884 (95% CI 0.835-0.932) for cellularity, 0.777 (95% CI 0.712-0.842) for ADC 33, 0.852 (95% CI 0.799-0.905) for ADC 17, and 0.840 (95% CI 0.786-0.894) for ADC 0. Cellularity ( OR=6.142, 95% CI 2.920-12.929, P<0.001) and ADC 17 ( OR=0.108, 95% CI 0.027-0.429, P=0.002) were identified as the independent predictors, and their combined model achieved an AUC of 0.896 (95% CI 0.852-0.941). In PCa f in and cellularity were positively correlated with ISUP grades ( r=0.490 and 0.397, P<0.001), while ADC 33, ADC 17, and ADC 0 were negatively correlated with ISUP grades ( r=-0.198, -0.345, -0.360; P=0.041,<0.001,<0.001). d and D ex were not correlated with ISUP grades ( P>0.05). Conclusion:t d-dMRI based microstructural mapping correlates with ISUP grades of PCa and may be useful for the differential diagnosis of csPCa.

Intelligent acupuncture-moxibustion medical equipment is an important force in promoting the inheritance, innovation, and modernization of acupuncture-moxibustion. This paper reviews the development status of intelligent acupuncture-moxibustion medical equipment and related new technologies, as well as the challenges faced. It is found that, with the advancement of technologies such as big data and artificial intelligence, acupuncture-moxibustion medical equipment has shown characteristics of greater precision, miniaturization, intelligence, and portability. However, deficiencies remain in areas such as standardization and regulation, including relatively low rates of effective transformation and a lack of innovation in research outcomes. Therefore, there is an urgent need to formulate corresponding strategies: improving the development of relevant standards for intelligent acupuncture-moxibustion medical equipment, encouraging the integration of medicine and engineering, cultivating interdisciplinary talents, and strengthening the protection of invention patents. It is necessary to establish a demand-oriented pathway connecting "equipment development, equipment evaluation, product formation" through multiple stages such as talent training and research project initiation, thereby promoting the modernization and standardization of intelligent acupuncture-moxibustion medical equipment and supporting the revitalization of traditional medicine.
Moxibustion/instrumentation* ; Humans ; Acupuncture Therapy/trends* ; Artificial Intelligence

Objective:To explore the cognition of nursing undergraduate students towards learner reputation in the digital education environment, providing a basis for the construction of learner reputation incentive mechanisms.Methods:This study was descriptive and qualitative. Purposive sampling was used to select 26 nursing undergraduate students from six schools of nursing for the study from July to November 2023 for semi-structured interviews. Traditional content analysis method was used to analyze the data.Results:A total of three themes and 7 sub-themes were refined, including personal literacy reputation (self-directed learning ability in online learning, integrity quality in digital learning environment, learning potential stimulated by digital resources), behavioral competence reputation (role positioning and responsibility in digital learning tasks, outcome benefits in digital learning tasks), and interactive identity reputation (shaping professional image and self-identity, obtaining external evaluation and good reputation) .Conclusions:Building learner reputation incentive mechanism is crucial in digital education, which motivates nursing students, empowers professional development, and lays a solid foundation for personal growth and future career development.

Objective To explore practical pathways for the connotation quality control of Zhuang medical records by le-veraging the reform of DRG-based medical insurance payment systems as an opportunity,thereby enhancing record quality and fostering the coordinated development of ethnic medicine with modern medical insurance payment systems.Methods By analy-zing the requirements imposed by the DRG-based payment reform on the quality management of Zhuang medical records,a quality control management system focused on the connotation quality control of these records was established.A scoring standard for the connotation quality of Zhuang medical records,supplemented by DRG,was developed.Dynamic quality control was implemented through a combination of information-based intelligent review and expert manual review to ensure rectification.Results Key in-dicators,such as the qualification rate of the first page of medical records,the A-level rate of inpatient records,and the DRG en-rollment rate,showed significant improvements.The documentations of surgical and procedural records were standardized,and the records of ward rounds and case discussions by senior physicians were comprehensive and detailed,accurately reflecting the diagnostic and therapeutic methods and outcomes of Zhuang medicine.Conclusion The DRG-based quality control model for Zhuang medical records effectively aligns medical insurance payment with the unique characteristics of ethnic medicine,offering a replicable model for the quality management of medical records in ethnic medicine institutions under DRG-based reforms.

Objective:To assess the current level of acceptance of generative artificial intelligence (GAI) among maternal and infant care providers and to explore the factors influencing their acceptance.Methods:A convenience sampling method was used to survey 164 maternal and infant care providers from Beijing Hospital and China-Japan Friendship Hospital between March and May 2024. The survey instruments included a general information questionnaire, GAI Acceptance among Maternal and Infant Care Providers Scale, and Self-assessment Scales for Digital Technology Awareness and Self-assessment Scales for Digital Competence. Multiple linear regression analysis was conducted to identify influencing factors.Results:The total acceptance score of GAI among 164 participants was [181 (158, 200) ]. Multiple linear regression analysis showed that interest in GAI, digital technology awareness, and digital competence were significant influencing factors for GAI acceptance, with statistically significant differences ( P<0.05) . Conclusions:The level of GAI acceptance among maternal and infant care providers was relatively high. It is recommended to strengthen the promotion and training on the application and precautions of GAI, improve their digital competence and professional literacy, while fostering critical and independent thinking, to enhance the integration of GAI into maternal and infant care services.

Objective:To investigate the diagnostic efficacy of time-dependent diffusion MRI (t d-dMRI)-derived microstructural parameters for clinically significant prostate cancer (csPCa) and their associations with the pathological grade of prostate cancer(PCa) based on the International Society of Urological Pathology (ISUP) grades. Methods:This cross-sectional study prospectively enrolled 196 patients suspected of PCa from March 2023 to March 2024 at the First Affiliated Hospital, Sun Yat-Sen University. All patients underwent multiparametric MRI and t d-dMRI to obtain microstructural parameters, including cell diameter (d), intracellular volume fraction (f in), extracellular diffusion coefficient (D ex), cellularity, and apparent diffusion coefficient (ADC) value at oscillation frequencies of 33 Hz, 17 Hz, 0 Hz (ADC 33, ADC 17, and ADC 0). Pathologically, 95 cases were classified as csPCa (ISUP 2-5), and the rest 101 cases were classified as non-csPCa (benign or ISUP 1). Comparison of these microstructural metrics was made between csPCa and non-csPCa groups by independent t-tests or Mann-Whitney U tests, and multivariable logistic regression was used to identify independent predictors. A combined diagnostic model was then constructed based on the independent predictors. The receiver operating characteristic curve analysis was used to evaluate the diagnostic performance. Finally, in PCa, the correlation between microstructural parameters and ISUP grades was investigated by Spearman correlation. Results:The t d-dMRI measurements, including d, f in, cellularity, ADC 33,ADC 17 and ADC 0, were significantly different between csPCa and non-csPCa groups (All P<0.05). But D ex was not significantly different between the two groups ( Z=-1.27, P=0.204). The area under the receiver operating characteristic curve (AUC) for diagnosing csPCa were 0.701 (95% CI 0.628-0.775) for d, 0.869 (95% CI 0.819-0.920) for f in, 0.884 (95% CI 0.835-0.932) for cellularity, 0.777 (95% CI 0.712-0.842) for ADC 33, 0.852 (95% CI 0.799-0.905) for ADC 17, and 0.840 (95% CI 0.786-0.894) for ADC 0. Cellularity ( OR=6.142, 95% CI 2.920-12.929, P<0.001) and ADC 17 ( OR=0.108, 95% CI 0.027-0.429, P=0.002) were identified as the independent predictors, and their combined model achieved an AUC of 0.896 (95% CI 0.852-0.941). In PCa f in and cellularity were positively correlated with ISUP grades ( r=0.490 and 0.397, P<0.001), while ADC 33, ADC 17, and ADC 0 were negatively correlated with ISUP grades ( r=-0.198, -0.345, -0.360; P=0.041,<0.001,<0.001). d and D ex were not correlated with ISUP grades ( P>0.05). Conclusion:t d-dMRI based microstructural mapping correlates with ISUP grades of PCa and may be useful for the differential diagnosis of csPCa.

Objective:To explore the cognition of nursing undergraduate students towards learner reputation in the digital education environment, providing a basis for the construction of learner reputation incentive mechanisms.Methods:This study was descriptive and qualitative. Purposive sampling was used to select 26 nursing undergraduate students from six schools of nursing for the study from July to November 2023 for semi-structured interviews. Traditional content analysis method was used to analyze the data.Results:A total of three themes and 7 sub-themes were refined, including personal literacy reputation (self-directed learning ability in online learning, integrity quality in digital learning environment, learning potential stimulated by digital resources), behavioral competence reputation (role positioning and responsibility in digital learning tasks, outcome benefits in digital learning tasks), and interactive identity reputation (shaping professional image and self-identity, obtaining external evaluation and good reputation) .Conclusions:Building learner reputation incentive mechanism is crucial in digital education, which motivates nursing students, empowers professional development, and lays a solid foundation for personal growth and future career development.

Objective To explore the effect of playing moderate-intensity table tennis and badminton on myo-pia prevention among children between 7 and 9 years old,so as to provide related theoretical basis.Methods A total of 536 myopic children were initially screened from two schools in Guangzhou via questionnaires and in-terviews.Among them,36 children(7-9 years old)were selected and randomly divided into a control group,a table tennis group and a badminton group,each of 12.All groups underwent 1.5-hour training three times a week for six months,covering training on dynamic visual acuity,sports vision and attention training and the ex-ercise intensity was adjusted according the heart rate,rating of perceived exertion(RPE)and blood oxygen lev-els.Moreover,the equivalent spherical degree(SED),ocular biology,and accommodative parameters were mea-sured before and after the intervention.Results After intervention,the left eye SEDs of the control and badmin-ton groups were lower than before intervention(P<0.05).Moreover,the axial length(AL)in the left and right eyes and the axial length/corneal radius of curvature(AL/CR)of all 3 groups after intervention were significant-ly higher than before that(P<0.05).The table tennis group showed significant improvement in accommodative fa-cility(AF)in both eyes(P<0.05),while the badminton group demonstrated significant increases in AF of both eyes,amplitude of accommodation(AMP)in the right eye,but a significant decrease in the positive relative adjustment(PRA)(P<0.05).Moreover,after intervention,SE and AF of both eyes in the table tennis group was significantly higher,with lower AL and AL/CR ratios in the left eye compared to the control group(P<0.05).The badminton group exhibited greater AMP in the right eye and AF improvements in both eyes com-pared to the control and table tennis groups(P<0.05),but lower PRA(P<0.05).Moreover,the left-eye SE of the badminton group was higher than the control group(P<0.05),while the right-eye corneal curvature and the left-eye AL/CR were lower than the latter(P<0.05).Meanwhile,after the intervention,the left-eye AL and PRA of the badminton group were significantly lower than the table tennis group(P<0.05).Conclusion Pupils can effectively increase their reserve of eye adjustment,improve the adjustment function of the eye,and delay the development of myopia by playing table tennis and badminton with moderate intensity.Playing table tennis excels in delaying refractive power changes,while doing badminton significantly improves PRA,AMP,and AF.