The goal of the research was to evaluate the application of self-developed virtual simulation software of fiber post all-ce-ramic crown restoration in the teaching of dental undergraduates.Fifty-five undergraduates majoring in stomatology were enrolled,including 26 sophomores and 29 senior students.Theoretical lecture and virtual simulation software of fiber post all-ceramic crown restoration were used for teaching.After class,questionnaires were completed by the students.The results of the questionnaire showed that more than half of the students were very interested in the virtual simulation software of this course(56.36％),and try-ing other forms of virtual simulation courses(52.73％).The simulation stimulated their interest in in-depth learning of prosthodon-tics(52.73％)and their expectation for the future working environment(54.55％).They were very satisfied with the virtual simula-tion effect(52.73％).Compared with two different grades,there are significant differences in the statistical data of three survey questions,including whether they are interested in in-depth study of prosthodontics,whether they have expectations for the future working environment,and whether they can clearly understand basic anatomical structure of teeth and basic concepts such as post,core and root canal.There was no significant difference in other questionnaire between grades.The virtual simulation software of fi-ber post all-ceramic crown restoration has a good effect on the teaching of dental undergraduates,which worth carrying out and pro-moting in the future teaching work.

Objective·To evaluate the effects of normally positioned flap(NPF)and coronally advanced flap(CAF)techniques on clinical results after epulis excision.Methods·A total of 55 patients with epulis who visited the Department of Periodontology,Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine from August 2022 to December 2023 were included.The patients were divided into the NPF group and the CAF group.After epulis excision,the surgical area was closed using NPF or CAF technique.The following parameters were recorded:baseline epulis width(EW)and epulis height(EH);papilla width(PW)and papilla height(PH)at 6 months post-surgery;probing depth(PD),attachment loss(AL),and keratinized gingiva width(KGW)at both baseline and 6 months post-surgery.The esthetic outcomes were evaluated using a visual analog scale(VAS)by 2 periodontal specialists.t test was used to compare the differences in periodontal indices between baseline and 6 months post-surgery,as well as between the 2 flap techniques.Results·At 6 months post-surgery,PD of the CAF group was(1.68±0.79)mm,significantly lower than at baseline(P<0.001),but not significantly different from that in the NPF group(P=0.365);the AL in the CAF group was(1.26±1.18)mm,not significantly different from baseline(P=0.746),but significantly lower than in the NPF group(P<0.001).At 6 months post-surgery,PH of the CAF group was(3.74±0.62)mm,significantly higher than that in the NPF group(P<0.001),and the VAS score of the CAF group was significantly higher than that of the NPF group(P<0.001).Conclusion·Compared with NPF,CAF could effectively improve post-surgical KGW and reduce AL,which could prevent periodontal soft tissue defects,and improve esthetic outcome after epulis excision.

Research indicates that microbe activity within the human body significantly influences health by being closely linked to various diseases. Accurately predicting microbe-disease interactions (MDIs) offers critical insights for disease intervention and pharmaceutical research. Current advanced AI-based technologies automatically generate robust representations of microbes and diseases, enabling effective MDI predictions. However, these models continue to face significant challenges. A major issue is their reliance on complex feature extractors and classifiers, which substantially diminishes the models' generalizability. To address this, we introduce a novel graph autoencoder framework that utilizes decoupled representation learning and multi-scale information fusion strategies to efficiently infer potential MDIs. Initially, we randomly mask portions of the input microbe-disease graph based on Bernoulli distribution to boost self-supervised training and minimize noise-related performance degradation. Secondly, we employ decoupled representation learning technology, compelling the graph neural network (GNN) to independently learn the weights for each feature subspace, thus enhancing its expressive power. Finally, we implement multi-scale information fusion technology to amalgamate the multi-layer outputs of GNN, reducing information loss due to occlusion. Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models. This indicates that our model can accurately predict unknown MDIs and is likely to aid in disease discovery and precision pharmaceutical research. Code and data are accessible at: https://github.com/shmildsj/MDI-IFDRL.

Research indicates that microbe activity within the human body significantly influences health by being closely linked to various diseases.Accurately predicting microbe-disease interactions(MDIs)offers critical insights for disease intervention and pharmaceutical research.Current advanced AI-based technologies automatically generate robust representations of microbes and diseases,enabling effec-tive MDI predictions.However,these models continue to face significant challenges.A major issue is their reliance on complex feature extractors and classifiers,which substantially diminishes the models' generalizability.To address this,we introduce a novel graph autoencoder framework that utilizes decoupled representation learning and multi-scale information fusion strategies to efficiently infer po-tential MDIs.Initially,we randomly mask portions of the input microbe-disease graph based on Bernoulli distribution to boost self-supervised training and minimize noise-related performance degradation.Secondly,we employ decoupled representation learning technology,compelling the graph neural network(GNN)to independently learn the weights for each feature subspace,thus enhancing its expressive power.Finally,we implement multi-scale information fusion technology to amalgamate the multi-layer outputs of GNN,reducing information loss due to occlusion.Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models.This indicates that our model can accurately predict unknown MDIs and is likely to aid in disease discovery and precision pharmaceutical research.Code and data are accessible at:https://github.com/shmildsj/MDI-IFDRL.

OBJECTIVE To explore the willingness to pay （WTP） of Urumqi residents for community pharmacies’ medication guidance services and its influencing factors， so as to provide data support for the optimization of community pharmacy services and the establishment of a fee structure for medication guidance services. METHODS A stratified quota sampling method was employed to select 14 communities in Urumqi City. From April to June 2025， a combined offline and online questionnaire survey was conducted among adult residents in these communities. The contingent valuation method was used to construct three hypothetical scenarios （namely， basic， enhanced and extended services） of medication counselling in community pharmacies to assess residents’ WTP for these services. Binary Logistic regression was employed to analyze the influencing factors of WTP. RESULTS A total of 576 valid questionnaires were obtained. Under the scenarios of basic， enhanced and extended services， 38.54%， 49.65% and 67.19% of the respondents expressed WTP for the services， respectively. Occupational type， type of basic medical insurance， annual income， perception of pharmacists’ profession， and acceptance level of the service were identified as major influencing factors for WTP （P＜0.05）. CONCLUSIONS The willingness of residents in Urumqi to pay for medication counseling services provided by pharmacists in community pharmacies significantly increases with the enrichment of service content. It is recommended to incorporate basic medication counselling services provided by pharmacists in community pharmacies into medical insurance payment， while value-added services should be partially or fully self-paid by residents. Additionally， efforts should be made to strengthen the promotion of the professional and service value of licensed pharmacists， so as to facilitate the high-quality development of pharmaceutical care.

The goal of the research was to evaluate the application of self-developed virtual simulation software of fiber post all-ce-ramic crown restoration in the teaching of dental undergraduates.Fifty-five undergraduates majoring in stomatology were enrolled,including 26 sophomores and 29 senior students.Theoretical lecture and virtual simulation software of fiber post all-ceramic crown restoration were used for teaching.After class,questionnaires were completed by the students.The results of the questionnaire showed that more than half of the students were very interested in the virtual simulation software of this course(56.36％),and try-ing other forms of virtual simulation courses(52.73％).The simulation stimulated their interest in in-depth learning of prosthodon-tics(52.73％)and their expectation for the future working environment(54.55％).They were very satisfied with the virtual simula-tion effect(52.73％).Compared with two different grades,there are significant differences in the statistical data of three survey questions,including whether they are interested in in-depth study of prosthodontics,whether they have expectations for the future working environment,and whether they can clearly understand basic anatomical structure of teeth and basic concepts such as post,core and root canal.There was no significant difference in other questionnaire between grades.The virtual simulation software of fi-ber post all-ceramic crown restoration has a good effect on the teaching of dental undergraduates,which worth carrying out and pro-moting in the future teaching work.

Objective·To evaluate the effects of normally positioned flap(NPF)and coronally advanced flap(CAF)techniques on clinical results after epulis excision.Methods·A total of 55 patients with epulis who visited the Department of Periodontology,Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine from August 2022 to December 2023 were included.The patients were divided into the NPF group and the CAF group.After epulis excision,the surgical area was closed using NPF or CAF technique.The following parameters were recorded:baseline epulis width(EW)and epulis height(EH);papilla width(PW)and papilla height(PH)at 6 months post-surgery;probing depth(PD),attachment loss(AL),and keratinized gingiva width(KGW)at both baseline and 6 months post-surgery.The esthetic outcomes were evaluated using a visual analog scale(VAS)by 2 periodontal specialists.t test was used to compare the differences in periodontal indices between baseline and 6 months post-surgery,as well as between the 2 flap techniques.Results·At 6 months post-surgery,PD of the CAF group was(1.68±0.79)mm,significantly lower than at baseline(P<0.001),but not significantly different from that in the NPF group(P=0.365);the AL in the CAF group was(1.26±1.18)mm,not significantly different from baseline(P=0.746),but significantly lower than in the NPF group(P<0.001).At 6 months post-surgery,PH of the CAF group was(3.74±0.62)mm,significantly higher than that in the NPF group(P<0.001),and the VAS score of the CAF group was significantly higher than that of the NPF group(P<0.001).Conclusion·Compared with NPF,CAF could effectively improve post-surgical KGW and reduce AL,which could prevent periodontal soft tissue defects,and improve esthetic outcome after epulis excision.

OBJECTIVE: To investigate the feasibility of MRI three-dimensional (3D) reconstruction model in quantifying glenoid bone defect by comparing with CT 3D reconstruction model measurement. METHODS: Forty patients with shoulder anterior dislocation who met the selection criteria between December 2021 and December 2022 were admitted as study participants. There were 34 males and 6 females with an average age of 24.8 years (range, 19-32 years). The injury caused by sports injury in 29 cases and collision injury in 6 cases, and 5 cases had no obvious inducement. The time from injury to admission ranged from 4 to 72 months (mean, 28.5 months). CT and MRI were performed on the patients' shoulder joints, and a semi-automatic segmentation of the images was done with 3D slicer software to construct a glenoid model. The length of the glenoid bone defect was measured on the models by 2 physicians. The intra-group correlation coefficient ( ICC) was used to evaluate the consistency between the 2 physicians, and Bland-Altman plots were constructed to evaluate the consistency between the 2 methods. RESULTS: The length of the glenoid bone defects measured on MRI 3D reconstruction model was (3.83±1.36) mm/4.00 (0.58, 6.13) mm for physician 1 and (3.91±1.20) mm/3.86 (1.39, 5.96) mm for physician 2. The length of the glenoid bone defects measured on CT 3D reconstruction model was (3.81±1.38) mm/3.80 (0.60, 6.02) mm for physician 1 and (3.99±1.19) mm/4.00 (1.68, 6.38) mm for physician 2. ICC and Bland-Altman plot analysis showed good consistency. The ICC between the 2 physicians based on MRI and CT 3D reconstruction model measurements were 0.73 [95% CI (0.54, 0.85)] and 0.80 [95% CI (0.65, 0.89)], respectively. The 95% CI of the difference between the two measurements of physicians 1 and 2 were (-0.46, 0.49) and (-0.68, 0.53), respectively. CONCLUSION The measurement of glenoid bone defect based on MRI 3D reconstruction model is consistent with that based on CT 3D reconstruction model. MRI can be used instead of CT to measure glenoid bone defects in clinic, and the soft tissue of shoulder joint can be observed comprehensively while reducing radiation.
Male ; Female ; Humans ; Young Adult ; Adult ; Imaging, Three-Dimensional/methods* ; Tomography, X-Ray Computed/methods* ; Joint Instability ; Shoulder Joint/diagnostic imaging* ; Shoulder Dislocation ; Magnetic Resonance Imaging/methods*

Objective:To calculate the single-event dose-averaged specific energy of particles delivered in spherical domains based on the track structure model and using triple integration, and to investigate the influence of the domain shape on the key model parameters of microdosimetric kinetic model (MKM) and its corresponding physical significance.Methods:The domains are assumed to be cylinders and spheres, respectively. With α 0, domain radius, rd, and nucleus radius, Rn, as undetermined coefficients, the nuclear charge numbers, kinetic energies and their corresponding LETs of three kinds of charged particles ( 3He, 12C, 20Ne) as independent variables, D10 as dependent variable, the mean value of squared residuals, J2, between the D10 calculated values and D10 experimental values as the optimization objective, the final fitting values of the above undetermined coefficients of human salivary gland (HSG) cells and Chinese hamster lung (V79) cells obtained after iteration by the robust least square method are the optimal model parameter values of MKM. Results:For HSG cells, cylindrical domain: α 0=0.073/Gy, rd=0.29 μm, Rn=4.1 μm, J2=0.039 7 Gy 2; spherical domain: α 0=0.023/Gy, rd=0.29 μm, Rn=4.4 μm, J2=0.039 3 Gy 2; For V79 cells, cylindrical domain: α 0=0.114/Gy, rd=0.25 μm, Rn=3.8 μm, J2=0.097 4 Gy 2; spherical domain: α 0=0.095/Gy, rd=0.26 μm, Rn=4.1 μm, J2=0.096 9 Gy 2. Conclusions:For the same type of cells, cylindrical and spherical domains were selected respectively, and there are significant differences in MKM parameters obtained by fitting. The fitting values of the domain radius, rd of the two shapes of domains show no significant difference, while the fitting values of α0 of spherical domains are smaller than those of cylindrical domains, the fitting values of nucleus radius, Rn, of spherical domain are larger than those of cylindrical domains, closer to the nucleus radius observed by fluorescence microscopy. In the low LET (<20 keV/μm) region, D10 calculated according to the parameters of the two different shapes of domains are different, so the selection of the domain shape will cause differences in the relative biological effectiveness(RBE) calculation of proton in the region near Bragg peak.

Objective:In Shanghai Advanced Proton Therapy Facility (SAPT) of Ruijin Hospital Proton Therapy Center, the calculation accuracy of the commercial proton treatment planning system RayStation (V10), especially the accuracy of the proton range calculation, was measured and verified, aiming to provide reference for the clinical application of the treatment planning system.Methods:A head phantom was used to verify the calculation accuracy of RayStation. The phantom CT was imported into treatment planning system (TPS). The phantom was followed closely by a water tank with a one-liter cubic target. A single field verification plan with the prescribed dose of 200 cGy (relative biological effectiveness) was designed and implemented. Then, the measured distribution results were compared with the calculation results.Results:When the verification plan of the phantom was designed with the default settings of RayStation, the measured longitudinal dose distribution was approximately 4 mm deeper than that of TPS, indicating that RayStation overestimated the water equivalent thickness (WET) of the tissue substitute materials in the phantom. To study the range error, the actual beam was used to measure the WET of the soft tissue substitute material. The default setting of RayStation was fine-tuned according to the measured results. It was found that the error between the measured SOBP and TPS calculations was reduced to only 2 mm.Conclusions:Using the default setting of RayStation to calculate the stopping power of the phantom may cause a large range error. A method that combines tissue segmentation with the measured WET of the tissue substitute material is proposed to improve the range calculation accuracy of the TPS. The results show that the proposed method can improve the dose and range accuracy of the commercial TPS including RayStation for tissue substitute materials.