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ObjectiveTo understand the vaccination situation of non-national immunization program （non-NIP） vaccines in Changning District， and to provide evidence for further strengthening the management of vaccination services and guiding community health service centers to construct vaccination clinics for children and adults.MethodsNumber of non-NIP vaccine doses in community health service centers， Changning District， was collected from Shanghai Immunization Information System from 2016 to 2020. Descriptive epidemiological analysis was conducted.ResultsIn 2020， the overall number of non-NIP vaccine doses， proportion of non-NIP vaccine doses and average number of non-NIP vaccine doses in the community health service centers， Changning District， reached up to 115 361 doses， 63.41% and 1 664.54 per 10 000 persons， respectively. Furthermore， the proportion of non-NIP vaccine doses showed a significantly upward trend （χtrend2=131.110， P18 years. Human papillomavirus vaccines （HPV） and influenza vaccines （InfV） had the highest increase in vaccine doses. Additionally， non-NIP vaccination peaked from September to December in adults.ConclusionAlong with the number of non-NIP vaccine doses increase， it is necessary to strengthen the management of non-NIP vaccination and explore effective measures for construction of adult vaccination clinics to meet the public demand for vaccination.

ObjectiveTo assess the coverage and effectiveness of COVID-19 vaccines in the elderly.MethodsThis study was conducted in Changning District of Shanghai， targeting people aged 60 years and above. Vaccination data between 21 December 2020 and 28 February 2022 was retrieved from the Shanghai Collective Immunization System. Information on confirmed cases of COVID-19 from March 2022 through May 2022 was collected from the National Notifiable Diseases Reporting System. Vaccine effectiveness was calculated using the screening method.ResultsAs of 28 February 2022， 69.89% of people aged ≥60 years had received ≥1-dose vaccine， 63.80% had received full primary vaccination and 31.91% had received a booster dose. Vaccination coverage declined over age， with the lowest coverage in the elderly aged ≥80 years. Moreover， COVID-19 vaccination provided the highest protection against severe/critical illness and death due to the Omicron variants in the elderly aged ≥60 years. Full primary vaccination showed 96.15%（95%CI：84.15‒99.06）of vaccine effectiveness and booster vaccination showed 100% of the effectiveness against severe/critical COVID-19 and death.ConclusionsFull primary and booster vaccination coverage in the elderly is low， especially in those aged 80 and above. Our study finds high protection against COVID-19 associated severe/critical illness and death from both full primary and booster vaccination of inactivated COVID-19 vaccines in the elderly aged ≥60 years.

The innovative design of teaching methods of Civics classes in colleges and universities is an effective measure to help the teaching of Civics classes in colleges and universities. In this paper, the significance of innovative Civics teaching methods is addressed, and a novel path for teaching Civics courses in colleges and universities is proposed. Through feature selection, the K-Means clustering algorithm is optimized, and after optimal selection of the initial clustering center, balanced discriminant function, and combing of the optimization process, the model is applied to the actual innovation of Civics and Political Science teaching, quantitatively assessing the behavioral characteristics of the students and constructing the prediction model to achieve dynamic monitoring of students’ performance. The empirical teaching analysis method is aimed at quantitatively assessing the path proposed in this paper. The clustering results show that consistent with the preset, the model divides students’ learning behavioral characteristics into four categories with clear boundaries and good clustering effect, and most of the student’s grades are concentrated around 60-80 points, according to which the teachers can adjust their teaching strategies in time to improve the teaching effect. Through the control experiment, we know that for the students who have gone through the innovative Civics teaching mode, the mean value of Civics achievement is 71.594, which is 19.329 points higher than the students who have studied in traditional Civics teaching, which is confirmed by the P-value in the t-test of independence which is less than 0.05. It indicates that the innovative teaching method for civics has a significant effect on improving students’ civics achievement.

ABSTRACT Objectives Materials and Methods Results Conclusions To evaluate and compare the accuracy of task‐autonomous robot‐assisted implant surgery (RAIS) and dynamic computer‐assisted implant surgery (dCAIS) for zygomatic implant placement.Ten atrophic edentulous maxilla models requiring zygomatic implant (ZI) placement were randomly divided into the RAIS and dCAIS groups. Osteotomies and implant placement were performed under the guidance of a task‐autonomous robotic system or dynamic navigation system. A total of 20 ZIs were analyzed. The angular, coronal, lateral coronal, coronal depth, apical, lateral apical, and apical depth deviations were measured and analyzed between the two groups. The primary outcome parameters were the angular deviations between the planned and the placed ZIs. Data was subjected to descriptive and comparative statistical analysis. The significance of inter‐group differences for continuous variables was assessed with Student's two‐sample t‐tests, Welch two‐sample t‐tests, and Mann–Whitney U tests according to the distribution normality and variance homogeneity.ZI placement deviations were compared between the RAIS and dCAIS groups, showing a mean angular deviation of 0.92 ± 0.40° versus 2.03 ± 0.53° (p < 0.001), a mean (±SD) coronal deviation of 0.48 ± 0.25 mm versus 1.29 ± 0.46 mm (p < 0.001), and a mean apical deviation of 0.88 ± 0.28 mm versus 1.96 ± 0.46 mm (p < 0.001).For computer‐guided ZI placement, task‐autonomous RAIS was superior to dCAIS in terms of accuracy. [ABSTRACT FROM AUTHOR]

ABSTRACT Background Purpose Methods and Materials Results Conclusions The learning curve effect of dynamic computer‐assisted implant surgery (D‐CAIS) was observed among inexperienced novice surgeons. The learning curves can provide valuable information for novice surgeons and valid comparisons between new and conventional techniques. Recently, robotic computer‐assisted implant surgery (R‐CAIS) has shown promise as a novel dental implant surgical technique for both partially and edentulous patients. However, its learning curve remains unknown.The aim of this study was to explore the learning curve of dental implant placement surgery with a task‐autonomous robotic system among young dentists with different specialties.Four young dentists (mean age: 25.3 ± 1.5 years at the beginning of their first attempt) with equal representation of males and females and with different specialties participated in this study. None of the participants had prior experience in R‐CAIS. Each operator placed eight implants over eight attempts using a semi‐active task‐autonomous robotic system. Among the eight implants, four were straight lateral incisor implants, and four were 30°‐tilted premolar implants. The implants were placed in each dental quadrant of the maxillary and mandibular jaw modules. The operation time was recorded. Coronal, apical, and angular deviations between the planned and actual sites of implant placement were measured by merging preoperative and postoperative cone‐beam computed tomography (CBCT) scans. The data were analyzed with repeated‐measures ANOVA (α = 0.05).The mean time for implant placement was associated with the number of attempts (p < 0.01). The time taken for the second attempt was significantly shorter than that of the first attempt (33.26 vs. 30.47 min; p < 0.001) then it plateaued. Three‐dimensional (3D) angular (p = 0.31), coronal deviation (p = 0.26), and apical deviation (p = 0.06) did not differ significantly among attempts. The mean values and standard deviations of 3D coronal deviation, 3D apical deviation, and 3D angular deviation were 0.71 ± 0.31 mm, 0.72 ± 0.30 mm, and 0.94 ± 0.58°, respectively. Neither the position of the jaw (p > 0.59) nor the tilt angle of the implant (straight or 30°‐tilted, p > 0.85) was related to implant placement accuracy.Dentists quickly learned the basic workflow of R‐CAIS and thus facilitated the clinicians in the mastery of implant placement on edentulous jaw modules, leading to a comparable operating speed and high precision. Moreover, the accuracy of placement of straight and tilted implants in both the maxilla and mandible with R‐CAIS was satisfactory. [ABSTRACT FROM AUTHOR]

Background: With ubiquitous social media platforms, people express their thoughts and emotions, making social media data valuable for studying and detecting depression symptoms. Objective: First, we detect depression by leveraging textual, visual, and auxiliary features from the Weibo social media platform. Second, we aim to comprehend the reasons behind the model's results, particularly in medicine, where trust is crucial. Methods: To address challenges such as varying text lengths and abundant social media data, we employ a text extension technique to standardize text length, enhancing model robustness and semantic feature learning accuracy. We utilize tree‐long short‐term memory and bidirectional gate recurrent unit models to capture long‐term and short‐term dependencies in text data, respectively. To extract emotional features from images, the integration of optical character recognition (OCR) technology with an emotion lexicon is employed, addressing the limitations of OCR technology in accuracy when dealing with complex or blurred text. In addition, auxiliary features based on social behaviour are introduced. These modalities' output features are fed into an attention fusion network for effective depression indicators. Results: Extensive experiments validate our methodology, showing a precision of 0.987 and recall rate of 0.97 in depression detection tasks. Conclusions: By leveraging text, images, and auxiliary features from Weibo, we develop text picture sentiment auxiliary (TPSA), a novel depression detection model. we ascertained that the emotional features extracted from images and text play a pivotal role in depression detection, providing valuable insights for the detection and assessment of the psychological disorder. [ABSTRACT FROM AUTHOR]

Objectives: The aim of this study was to compare the accuracy of dental implant placement in a single tooth gap, including the postextraction site and healed site, using a task‐autonomous robotic system and a dynamic navigation system. Materials and Methods: Forty partially edentulous models requiring both immediate and conventional implant placement were randomly divided into a robotic system group and a navigation system group. The coronal, apical, and angular deviations of the implants were measured and assessed between the groups. Results: The deviations in immediate implant placement were compared between the robotic system and dynamic navigation system groups, showing a mean (±SD) coronal deviation of 0.86 ± 0.36 versus 0.70 ± 0.21 mm (p =.101), a mean apical deviation of 0.77 ± 0.34 versus 0.95 ± 0.38 mm (p =.127), and a mean angular deviation of 1.94 ± 0.66° versus 3.44 ± 1.38° (p <.001). At the healed site, significantly smaller coronal deviation (0.46 ± 0.29 vs. 0.70 ± 0.30 mm, p =.005), apical deviation (0.56 ± 0.30 vs. 0.85 ± 0.25 mm, p <.001), and angular deviation (1.36 ± 0.54 vs. 1.80 ± 0.70 mm, p =.034) were found in the robotic system group than in the dynamic navigation group. Conclusions: The position in both immediate and conventional implant placement was more precise with the task‐autonomous robotic system than with the dynamic navigation system. Its performance in actual clinical applications should be confirmed in further trials. [ABSTRACT FROM AUTHOR]

Despite extensive investigation, the utilization of sulfur and the cycling stability of lithium–sulfur (Li–S) batteries are significantly impeded by the polysulfide shuttle effect and sluggish sulfur reaction kinetics. In this study, aimed at enhancing the performance of Li–S batteries, we focus on the implementation of single metal atom (Be, Mg, Ca, V, Nb, and Ta)-doped TiS2 monolayers as cathode catalysts. Our findings reveal that Be-TiS2, Mg-TiS2, and Ca-TiS2 exhibit superior polysulfide adsorption capabilities and lower values for the rate-determining step in terms of Gibbs free energy. Electronic structure analysis further elucidates that the enhanced anchoring and electrocatalytic activities stem from the upward displacement of the p-band center and the narrowing of the gap within the Δd-p-band, respectively. Moreover, Be-TiS2 and Ca-TiS2 monolayers facilitate the acceleration of the Li2S decomposition reaction and Li-ion migration on their surfaces. This investigation effectively advances our understanding of the role of TiS2 in the polysulfide conversion process and offers valuable insights into the design of cathodes in Li–S batteries. [ABSTRACT FROM AUTHOR]