Repetitive transcranial magnetic stimulation (rTMS) is a rapid and effective therapy for major depressive disorder; however, there is significant variability in therapeutic outcomes both within and across individuals, with approximately 50% of patients showing no response to rTMS treatment. Many studies have personalized the stimulation parameters of rTMS (e.g., location and intensity of stimulation) according to the anatomical and functional structure of the brain. In addition to these parameters, the internal states of the individual, such as circadian rhythm, behavior/cognition, neural oscillation, and neuroplasticity, also contribute to the variation in rTMS effects. In this review, we summarize the current literature on the interaction between rTMS and internal states. We propose two possible methods, multimodal treatment, and adaptive closed-loop treatment, to integrate patients' internal states to achieve better rTMS treatment for depression.
Humans ; Transcranial Magnetic Stimulation/methods* ; Depressive Disorder, Major/physiopathology* ; Neuronal Plasticity/physiology* ; Brain/physiopathology*

Objective:To study the application value of analytic hierarchy process(AHP)-risk analysis management strategy in management for medical equipment of hospital,so as to improve utilization efficiency of equipment.Methods:A decision model of managing equipment was established by adopting AHP-risk analysis management strategy,and Entropy method was used to optimize and improve the combined weight of AHP algorithm,so as to obtain the comprehensive weight of classification decision for medical equipment.The equipment was classified into high risk,second highest risk,medium risk,second lowest risk and low risk to receive different management strategy.A total of 103 medical equipment in clinical use at People's Hospital of Xinjiang Uygur Autonomous Region from January 2023 to February 2024 were selected,and the conventional management method was adopted to manage these equipment during January 2023 and July 2024,and AHP-risk analysis management strategy was adopted to manage them during August 2023 and February 2024.The differences of the management effects of medical equipment in clinical use,and technical support for equipment between two management methods were compared.Results:The average use rate,rate of growth amplitude of cost-effectiveness,and rate of growth amplitude of social benefit of equipment of using the AHP risk analysis management method were respectively(95.34±3.75)%,(7.65±2.18)%,and(10.81±2.42)%,all of which were higher than those of the conventional management method.However,the average relative operating rate and relative turnover rate of using the AHP risk analysis management method were respectively(9.26±2.46)%and(10.63±2.07)%,all of which were lower than those of the conventional management method,and the differences were statistically significant(t=9.223,24.681,17.813,15.764,18.873,P<0.05).The average self-repair rate,upgrade efficiency,and coincidence rate of scrapping equipment of using the AHP-risk analysis management method were respectively(91.54±4.25)%,(94.52±3.77)%,and(93.53±4.72)%,all of which were higher than those of the conventional management method.However,the average failure rate of that was(0.74±0.38)%,which was lower than the average failure rate of the conventional management method,and the differences of them were statistically significant(t=8.445,9.624,14.046,22.794,P<0.05).Conclusion:The AHP-risk analysis management strategy can improve the management effect of clinical use of medical equipment,and the technical support for medical equipment,and enhance usage and maintenance efficiency of equipment,and achieve refined management for medical equipment.

Objective To analyze the differences in oral hygiene and oral microbiota between the patients with schizophrenia and healthy individuals in Baoshan City.Methods 26 patients with schizophrenia from Baoshan Third People's Hospital were selected as the SCZ group and 26 healthy individuals matched by age and BMI as the HC(Healthy control)group.Demographic data,physical indicators,and oral conditions were collected.Saliva samples from 52 subjects were collected and 16S rDNA gene sequencing was used to compare the differences in oral hygiene and oral microbiota between the patients with schizophrenia and the healthy individuals.Results The difference in oral microbial community richness between the SCZ group and the HC group was statistically significant(P<0.05),with the SCZ group containing higher species than the HC group;at the genus level,except for Fusobacterium in the SCZ group and Actinomyces in the HC group,the top 5 dominant bacterial species in both groups were consistent;the results of species difference analysis showed that Fusobacterium and Campylobacter in the SCZ group were higher than those in the HC group(P<0.05).Conclusion The partial dominant bacterial species in the oral cavity of the patients with schizophrenia have changed to sulfate-reducing bacteria that produce hydrogen sulfide.Excessive production of hydrogen sulfide or polysulfide may damage the energy metabolism of mitochondria.

Objective:To study the application value of analytic hierarchy process(AHP)-risk analysis management strategy in management for medical equipment of hospital,so as to improve utilization efficiency of equipment.Methods:A decision model of managing equipment was established by adopting AHP-risk analysis management strategy,and Entropy method was used to optimize and improve the combined weight of AHP algorithm,so as to obtain the comprehensive weight of classification decision for medical equipment.The equipment was classified into high risk,second highest risk,medium risk,second lowest risk and low risk to receive different management strategy.A total of 103 medical equipment in clinical use at People's Hospital of Xinjiang Uygur Autonomous Region from January 2023 to February 2024 were selected,and the conventional management method was adopted to manage these equipment during January 2023 and July 2024,and AHP-risk analysis management strategy was adopted to manage them during August 2023 and February 2024.The differences of the management effects of medical equipment in clinical use,and technical support for equipment between two management methods were compared.Results:The average use rate,rate of growth amplitude of cost-effectiveness,and rate of growth amplitude of social benefit of equipment of using the AHP risk analysis management method were respectively(95.34±3.75)%,(7.65±2.18)%,and(10.81±2.42)%,all of which were higher than those of the conventional management method.However,the average relative operating rate and relative turnover rate of using the AHP risk analysis management method were respectively(9.26±2.46)%and(10.63±2.07)%,all of which were lower than those of the conventional management method,and the differences were statistically significant(t=9.223,24.681,17.813,15.764,18.873,P<0.05).The average self-repair rate,upgrade efficiency,and coincidence rate of scrapping equipment of using the AHP-risk analysis management method were respectively(91.54±4.25)%,(94.52±3.77)%,and(93.53±4.72)%,all of which were higher than those of the conventional management method.However,the average failure rate of that was(0.74±0.38)%,which was lower than the average failure rate of the conventional management method,and the differences of them were statistically significant(t=8.445,9.624,14.046,22.794,P<0.05).Conclusion:The AHP-risk analysis management strategy can improve the management effect of clinical use of medical equipment,and the technical support for medical equipment,and enhance usage and maintenance efficiency of equipment,and achieve refined management for medical equipment.

In the past decades, significant progress has been achived in cartilage regeneration. The traditional techniques for constructing tissue engineering cartilage scaffold mainly include pore agent method (or template method), phase separation method, gas foaming method, freeze-drying method, electrospinning method, etc. Cartilage is heterogeneous, and it is difficult for traditional scaffolds to simulate the high anisotropy of cartilage. Therefore, functional regeneration of cartilage is challenging. With the progress of three-dimensional(3D) printing technology, it is possible to prepare functional bionic scaffolds with fine structure and gradient changes through co-deposition of biomaterials, cells and active biomolecules, so as to achieve functional cartilage regeneration. This article reviewed 3D printing technology of cartilage tissue engineering, and the application of 3D printing technology in cartilage regeneration at different anatomical positions (articular cartilage, auricle cartilage, nasal cartilage). In addition, the importance of preparing bionic constructs with regional structure gradient and regional composition gradient was discussed. 3D bioprinting technology, 4D printing techniques, smart biomaterials brought hope for the construction of bionic tissues and organs.

In the past decades, significant progress has been achived in cartilage regeneration. The traditional techniques for constructing tissue engineering cartilage scaffold mainly include pore agent method (or template method), phase separation method, gas foaming method, freeze-drying method, electrospinning method, etc. Cartilage is heterogeneous, and it is difficult for traditional scaffolds to simulate the high anisotropy of cartilage. Therefore, functional regeneration of cartilage is challenging. With the progress of three-dimensional(3D) printing technology, it is possible to prepare functional bionic scaffolds with fine structure and gradient changes through co-deposition of biomaterials, cells and active biomolecules, so as to achieve functional cartilage regeneration. This article reviewed 3D printing technology of cartilage tissue engineering, and the application of 3D printing technology in cartilage regeneration at different anatomical positions (articular cartilage, auricle cartilage, nasal cartilage). In addition, the importance of preparing bionic constructs with regional structure gradient and regional composition gradient was discussed. 3D bioprinting technology, 4D printing techniques, smart biomaterials brought hope for the construction of bionic tissues and organs.

In the past decades, great progress has been made in cartilage regeneration. The traditional techniques for constructing tissue engineering cartilage scaffold mainly include pore agent method (or template method ) , phase separation method, gas foaming method, freeze-drying method , electrospinning method, etc. Cartilage is heterogeneous, and it is difficult for traditional scaffolds to simulate the high anisotropy of cartilage. Therefore, functional regeneration of cartilage is challenging. With the progress of three-dimensional (3D) printing technology, it is possible to prepare functional bionic scaffolds with fine structure and gradient changes through co deposition of biomaterials, cells and active biomolecules, so as to achieve functional cartilage regeneration. This article reviews 3D printing technology of cartilage tissue engineering, and the application of 3D printing technology in cartilage regeneration at different anatomical positions (articular cartilage, auricle cartilage, nasal cartilage) . In addition, the importance of preparing bionic constructs with regional structure gradient and regional composition gradient was discussed. 3D bioprinting technology, 4 D printing techniques, smart biomaterials brought hope for the construction of bionic tissues and organs.

Objective:To investigate imaging characteristics of papulopustular rosacea (PPR) by high-frequency ultrasound combined with color Doppler flow imaging.Methods:From August 2021 to August 2022, 30 patients with PPR were enrolled from the Department of Dermatology, the First Affiliated Hospital of Baotou Medical College in the Inner Mongolia Autonomous Region, and 30 healthy volunteers served as controls. The 22-MHz high-frequency ultrasound combined with color Doppler blood flow imaging was performed to measure the skin thickness, echo and blood flow parameters at the cheek, and the ultrasound results were compared between the two groups. Comparisons between groups were conducted by using t test or chi-square test. The diagnostic value was analyzed using the area under the curve (AUC) in the receiver operating characteristic (ROC) curve. Results:In the case group, there were 12 males and 18 females, and their ages ranged from 22 to 65 years (42.3 ± 12.8 years) ; in the control group, there were 10 males and 20 females, and their ages ranged from 24 to 62 years (41.0 ± 8.4 years) . The epidermal and dermal thicknesses at the cheek were significantly higher in the case group (132.64 ± 12.29 μm, 1 812.29 ± 85.52 μm, respectively) than in the control group (104.34 ± 14.45 μm, 1 671.77 ± 146.55 μm, respectively, both P < 0.05) . High-frequency ultrasound images showed that the case group was mainly characterized by irregular hypoechoic areas in the cheek dermis (80%) , while banded moderately echoic areas were common in the cheek dermis in the control group (90%) ; subepidermal low-echogenic bands and dermal irregular hypoechoic areas were more likely to appear in the case group than in the control group (93.33% vs. 43.33%, 80% vs. 10%, respectively, both P < 0.001) . Compared with the control group, the case group showed a significantly increased proportion of patients with abundant blood flow signals (93.3% vs. 10%, P < 0.05) , and significantly increased blood vessel diameters (1.60 ± 0.42 mm vs. 0.95 ± 0.32 mm, P < 0.05) ; there was no significant difference in peak systolic blood flow velocity and vascular resistance index between the two groups (both P > 0.05) . The AUC of high-frequency ultrasound combined with color Doppler flow imaging quantitative parameters (including epidermal thicknesses, dermal thicknesses, and blood vessel diameters) was 0.989 (95% CI: 0.970 - 1.000) for the diagnosis of PPR, and the sensitivity and specificity were both 96.7%, which were higher than those of single parameter-based diagnostic model. Conclusion:High-frequency ultrasound combined with color Doppler flow imaging can help improve the accuracy of the diagnosis of PPR, by accurately and non-invasively measuring skin thickness and blood flow parameters.

In the past decades, great progress has been made in cartilage regeneration. The traditional techniques for constructing tissue engineering cartilage scaffold mainly include pore agent method (or template method ) , phase separation method, gas foaming method, freeze-drying method , electrospinning method, etc. Cartilage is heterogeneous, and it is difficult for traditional scaffolds to simulate the high anisotropy of cartilage. Therefore, functional regeneration of cartilage is challenging. With the progress of three-dimensional (3D) printing technology, it is possible to prepare functional bionic scaffolds with fine structure and gradient changes through co deposition of biomaterials, cells and active biomolecules, so as to achieve functional cartilage regeneration. This article reviews 3D printing technology of cartilage tissue engineering, and the application of 3D printing technology in cartilage regeneration at different anatomical positions (articular cartilage, auricle cartilage, nasal cartilage) . In addition, the importance of preparing bionic constructs with regional structure gradient and regional composition gradient was discussed. 3D bioprinting technology, 4 D printing techniques, smart biomaterials brought hope for the construction of bionic tissues and organs.

Objective:To examine the burden of caregivers for elderly Parkinson's patients(PD)and to analyze the mediating effects of social support on primary PD caregivers' burden and their quality of life.Methods:In this cross-sectional study, 281 primary caregivers for elderly Parkinson's patients who visited the Department of Neurology's outpatient clinics of Qilu Hospital of Shandong University from January to May 2021 were surveyed via a convenience sampling method, with 242 valid questionnaires(86.1%). The Chinese versions of the Caregiver Burden Questionnaire, Social Support Rating Scale and 36-Item Short Form Health Survey were used for the investigation.Pearson correlation analysis was used to establish a structural equation model for the influence of social support in the burden and quality of life of caregivers for PD patients.The mediating effects were tested using Process v2.16.3 and re-tested using AMOS.The mediating effects were validated with Bootstrap.Results:Primary caregivers' scores on burden, social support and quality of life were(26.9±23.1), (40.5±8.7)and(593.7±163.3), respectively.Caregiver burden was negatively correlated with social support(r=-0.482, P<0.01), and social support was positively correlated with quality of life(r=0.513, P<0.01). Caregiver burden was negatively correlated with quality of life( r=-0.654, P<0.01), The validated mediating effects showed caregiver burden's direct effects on quality of life(95% CI: -0.38-0.61)and mediating effects of social support(95% CI: -0.08-0.21), not including 0, indicating that the care burden of primary caregivers for elderly PD patients was not only able to predict their quality of life, but also predict their quality of life through the mediating effects of social support(direct effect: -0.50 and mediating effect: -0.14, accounting for 78.0% and 22.0%, respectively, of the total effect of -0.64). Conclusions:Care burden and social support are important factors affecting the quality of life of primary caregivers for elderly PD patients.Reducing care burden can not only directly affect the quality of life, but also indirectly affect the quality of life by increasing social support.