Shanghai University Research Articles

Unlocking Complexity: D-Wave\'s Role in Quantum Computing Breakthroughs

In this new era of Quantum Computing, a transformative paradigm is emerging for the enhancement of Cyber Security using the special-purpose systems like D-Wave's quantum annealers which helps the encryption system become more resilient. As quantum computing evolves, it provides new paradigms for breaking the traditional encryption methods, as the recent breakthroughs is accomplished by researchers from Shanghai University that uses D-Wave's quantum annealing capabilities in providing the researchers to successfully demonstrated the potential to compromise widely used encryption systems, including RSA and AES. The usage of quantum annealing (QA) that makes the D-Wave’s a specialized quantum system which enables an efficient computation in tackling cryptographic problems, demonstrates the implications for the data security and privacy by applying the quantum-classical hybrid architectures. This research aims to get attention on the urgent need for developing a new security measures in response to the vulnerabilities exposed by the quantum advancements which emphasizes the crucial role of D-Wave's in unlocking the complexities of quantum computing and its implications for the future of cybersecurity.

Evaluation of practicality of wireless charging for electric vehicles in the next 10 years

As the electric vehicle market is expanding rapidly due to the need for sustainable development; a solution is needed to deal with current problems related to electric vehicles, this includes relatively limited driving range, relatively lack of charging spots during busy season, and the inconveniences of plug-in charging, such as dealing with cables. Therefore, wireless charging technology capable of charging electric vehicles while they are in motion becomes a potential solution. Assessing whether this technology will be mass-applied in the future is crucial. Given the limited current research that evaluates the practicality of wireless charging technology for electric vehicles with a time scale, this article aims to assess the aspects of safety, cost, efficiency, materials, user acceptance and other factors to determine the likelihood of making wireless charging practical for electric vehicles in the next decade. Furthermore, by distributing questionnaires to electric and gasoline car owners to gather participants’ opinions and expectations on wireless charging for electric vehicles, statistical analysis of the questionnaire results; interview with a professor at Shanghai University who is an expert in magnets and electricity, conducting secondary research, this article concludes whether wireless charging technology for electric vehicles can be implemented in the decade or not. As an impact, this article includes a time scale by conducting an evaluation instead of implicitly mentioning the time scale.

Current perspectives and trends in acupuncture for sleep disorders: a bibliometric analysis

BackgroundLimitations of conventional treatment methods for sleep disorders have driven the use and development of complementary and alternative therapies such as acupuncture. However, despite the surge in related studies, there is still a lack of visual analysis and detailed elaboration regarding the current status, international collaborations, and research hotspots of acupuncture for sleep disorders.MethodsWe conducted a bibliometric analysis of publications on acupuncture for sleep disorders using the Web of Science Core Collection database from 2004 to 2023. We utilized the R package “bibliometrix” to count publications and citations, VOSviewer to create an inter-institutional referencing network, and CiteSpace to identify references and keywords with the highest citation bursts. Additionally, we employed a bibliometric online analysis platform designed for analyzing national partnerships.ResultsA total of 432 pertinent papers were retrieved, with China being the most prolific contributor, accounting for 61.6% of the publications, followed by the United States and South Korea. Despite China’s high output, its average article citation rate and proportion of international collaborations were notably lower than those of the United States. Key research institutions such as the University of Hong Kong, Shanghai University of Traditional Chinese Medicine, Memorial Sloan Kettering Cancer Center, and Guangzhou University of Chinese Medicine have played significant roles in this field. Among authors, Ka-Fai Chung from the University of Hong Kong stood out as the most productive. In terms of journals, MEDICINE was the most active, while SLEEP was considered the most authoritative. The clinical effects of acupuncture for insomnia have garnered significant attention in recent years, with electroacupuncture emerging as the prevailing technique for addressing sleep disorders.ConclusionThis bibliometric study effectively outlines the basic framework of knowledge surrounding acupuncture for sleep disorders over the past two decades, covering publications, countries, institutions, authors, and sources. It highlights promising clinical effects and underlying mechanisms of acupuncture, particularly for secondary insomnia and specific sleep disorders like restless legs syndrome. Moving forward, the focus and challenge for future research lie in the development of standardized study protocols and harmonization of efficacy assessment metrics.

Exact Simulation of Quadratic Intensity Models

We develop efficient algorithms of exact simulation for quadratic stochastic intensity models that have become increasingly popular for modeling events arrivals, especially in economics, finance, and insurance. They have huge potential to be applied to many other areas such as operations management, queueing science, biostatistics, and epidemiology. Our algorithms are developed by the principle of exact distributional decomposition, which lies in a fully analytical expression for the joint Laplace transform of quadratic process and its integral newly derived in this paper. They do not involve any numerical Laplace inversion, have been validated by extensive numerical experiments, and substantially outperform all existing alternatives in the literature. Moreover, our algorithms are extendable to multidimensional point processes and beyond Cox processes to additionally incorporate two-sided random jumps with arbitrarily distributed sizes in the intensity for capturing self-exciting and self-correcting effects in event arrivals. Applications to portfolio loss modeling are provided to demonstrate the applicability and flexibility of our algorithms. History: Accepted by Bruno Tuffin, Area Editor for Simulation. Funding: This work was supported by the Beijing University of Posts and Telecommunications [Grant 2022RC58], the Shanghai University of Finance and Economics [Grant 2020110930], the National Natural Science Foundation of China [Grant 71401147], and Graduate Innovation Fund of Shanghai University of Finance and Economics [CXJJ-2023-387]. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2023.0323 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2023.0323 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .

AN EFFICIENT FRACTAL CARDIO DISEASES ANALYSIS USING OPTIMIZED DEEP LEARNING MODEL IN CLOUD OF THING CONTINUUM ARCHITECTURE

Exercise has long been known to improve cardiovascular health, energy metabolism, and well-being. However, myocardial cell responses to exercise are complex and multifaceted due to their molecular pathways. To understand cardiac physiology and path physiology, one must understand these pathways, including energy autophagy. In recent years, deep learning techniques, IoT devices, and cloud computing infrastructure have enabled real-time, large-scale biological data analysis. The objective of this work is to extract and analyze autophagy properties in exercise-induced cardiac cells in a cloud-IoT context using deep learning, more especially an autoencoder. The Shanghai University of Sport Ethics Committee for Science Research gave its approval for the data collection, which involved 150 male Sprague–Dawley (SD) rats that were eight weeks old and in good health. The [Formula: see text]-score normalization method was used to standardize the data. Fractal optimization methods could be applied to these algorithms. For example, fractal-inspired optimization techniques might be used to analyze deep learning with Autoencoder, the autography energy of exercise myocardial cells within a cloud-IoT. To capture the intricate myocardial energy autophagy during exercise, we introduced the DMO-GCNN-Autoencoder, a Dwarf Mongoose Optimized Graph Convolutional Neural Network. The results showed that the proposed network’s performance matches that of the existing methods.

Positive psychology probe: Assessing impact factors on CFL learners’ Chinese language learning through the EMPATHICS model and Q methodology

The growing prominence of Chinese, driven by initiatives like the “Belt and Road,” has led to a surge in demand for Chinese language learning among international students. However, this endeavor faces challenges due to cultural differences and the complexity of Chinese linguistics. This study explores the impact factors on Chinese as a Foreign Language (CFL) learners by integrating positive psychology, the EMPATHICS model, and Q methodology. Investigating the experiences of 31 learners at a Shanghai university, the findings revealed three distinct factors: “Proactive Exploration,” “Communication and Empathy,” and “Positive Attitude,” representing a unique combination of well-being dimensions influencing learners' experiences. The study highlights the importance of considering multiple well-being dimensions in designing learner support systems and tailoring teaching strategies to specific learner needs. The EMPATHICS model and Q methodology demonstrate utility in assessing impact factors on CFL learners’ well-being, offering practical recommendations for enhancing learner satisfaction and success. Despite limitations, this study contributes insights to Chinese as a foreign language education, emphasizing a comprehensive focus on learner well-being and the value of Q methodology as a research tool.

Endoscopic purse-string suture and naso-jejunal tube feeding for duodenal cutaneous fistula and gastric cutaneous fistula.

The Endoscopic Purse-string Suture (EPSS) technique has gained attention for its potential in closing large defects following gastrointestinal procedures. However, its application in fistula closure is not as widely reported. This study aims to evaluate the safety and efficacy of EPSS and naso-jejunal tube feeding in the closure of duodenal cutaneous fistulas and gastric cutaneous fistulas. This single-center retrospective study, conducted from September 2020 to September 2023 at Tongji University in Shanghai, China, examined the outcomes of EPPS and nasojejunal feeding for patients with gastric and duodenal cutaneous fistulas (n = 10). Demographic data, fistula characteristics, procedure technique and outcomes were evaluated. In this study, the average size of a fistula opening was 7.9 ± 4.6mm. The operations took an average of 25.8 ± 5.6min. Patients typically needed naso-jejunal tube feeding for a median of 14.0days, with an interquartile range (IQR) of 7.7-19.0days. The median duration of hospital stay post-operation was 16.5days, with an IQR of 7.0-25.0days. Nine patients were successful in their initial fistula closure using the EPSS technique. The other patient underwent a second EPSS and, ultimately, all patients experienced complete healing and fully recovered. There were no major adverse events reported. EPSS and naso-jejunal tube feeding are a safe and effective treatment option for duodenal and gastric cutaneous fistulas. Larger, prospective studies are needed to validate these findings and establish the long-term safety and efficacy of this approach.

Evaluation of the effect of endoscopic CO₂laser arytenoidectomy on re-operation for failed posterior cordotomy

Objective:To analyze the efficacy of endoscopic CO₂ laser arytenoidectomy in treating bilateral vocal cord paralysis. Methods:Ninety-five patients who underwent endoscopic CO₂ laser arytenoidectomy for bilateral vocal cord paralysis at the First Affiliated Hospital of Naval Medical University（Changhai Hospital） of Shanghai from January 2009 to December 2022 were included in this study. Among them, 59 patients underwent endoscopic CO₂ laser arytenoidectomy as their first glottic enlargement surgery（Group A）, while 36 patients, who had previously undergone two unsuccessful CO₂ laser-assisted posterior cordotomies, underwent endoscopic CO₂ laser arytenoidectomy as a subsequent surgery（Group B）. Swallowing function, electronic laryngoscopy, perceptual voice evaluation, and objective voice analysis indicators were statistically analyzed before and after surgery to evaluate clinical efficacy. Results:The extubation rate after the first surgery was 84.75% in Group A and 86.11% in Group B, with total extubation rates of 94.92% and 94.44%, respectively. There were no significant differences between the two groups in preoperative and postoperative swallowing function, glottic size, or various voice evaluation indicators（P>0.05）. Within-group comparisons showed that postoperative swallowing function, glottic closure during phonation, perceptual evaluations of G（grade of hoarseness）, A（asthenia）, and B（breathiness） significantly worsened, with increased grades. The maximum transverse diameter of the posterior glottis during inspiration significantly increased, and the VHI-10 score was significantly higher postoperatively. Jitter, shimmer, and the harmonics-to-noise ratio significantly deteriorated, and maximum phonation time significantly shortened（P<0.05）. No significant differences were observed in postoperative R（roughness） and S（strain） compared to preoperative values（P>0.05）. Conclusion:Endoscopic CO₂ laser arytenoidectomy can impair voice quality to some extent but effectively alleviates breathing difficulties in patients with bilateral vocal cord paralysis. For patients who did not achieve successful extubation with CO₂ laser-assisted posterior cordotomy, endoscopic CO₂laser arytenoidectomy is an effective reoperative method, ensuring a high extubation rate while preserving certain voice functions.

Long-Term Outcomes of Traditional Chinese Medicine in the Treatment of Granulomatous Lobular Mastitis: A Two-Year Follow-Up Study on Recurrence and New Occurrence Rates with Analysis of Risk Factors.

Patients with clinically cured granulomatous lobular mastitis (GLM) still face a high probability of recurrence and new occurrence. To evaluate the long-term efficacy of traditional Chinese medicine (TCM) in treating GLM and to hypothesize potential risk factors for recurrence or new occurrence. A retrospective analysis was conducted on GLM patients treated with TCM at Longhua Hospital affiliated with Shanghai University of Traditional Chinese Medicine from January 2016 to July 2021. We analyzed general data, two-year recurrence and new occurrence rates, and 12 risk factors associated with recurrence or new occurrence. This cross-sectional study included 261 GLM patients with an average age at onset of 31.95 years (primarily aged 31-40). The two-year recurrence rate for GLM was 1.53%, and the new occurrence rate was 4.21%. Univariate and multivariate conditional logistic regression analyses revealed that a history of inverted nipples was associated with the risk of both recurrence and new occurrence of GLM (HR = 8.672, 5.375, P < 0.05), and menstrual irregularity was related to a higher risk of recurrence (HR = 13.172, P < 0.001). A history of inverted nipples is identified as a potential risk factor associated with the long-term recurrence and new occurrence of GLM, while menstrual irregularity is associated with recurrence. Despite this, patients with GLM undergoing TCM demonstrate low rates of long-term recurrence and new occurrence after achieving clinical cure, underscoring the effectiveness of TCM. This study lays the groundwork for a long-term effectiveness strategy to guide future GLM treatments.

Nuclear magnetic resonance-based metabolomics with machine learning for predicting progression from prediabetes to diabetes.

Identification of individuals with prediabetes who are at high risk of developing diabetes allows for precise interventions. We aimed to determine the role of nuclear magnetic resonance (NMR)-based metabolomic signature in predicting the progression from prediabetes to diabetes. This prospective study included 13,489 participants with prediabetes who had metabolomic data from the UK Biobank. Circulating metabolites were quantified via NMR spectroscopy. Cox proportional hazard (CPH) models were performed to estimate the associations between metabolites and diabetes risk. Supporting vector machine, random forest, and extreme gradient boosting were used to select the optimal metabolite panel for prediction. CPH and random survival forest (RSF) models were utilized to validate the predictive ability of the metabolites. During a median follow-up of 13.6 years, 2525 participants developed diabetes. After adjusting for covariates, 94 of 168 metabolites were associated with risk of progression to diabetes. A panel of nine metabolites, selected by all three machine-learning algorithms, was found to significantly improve diabetes risk prediction beyond conventional risk factors in the CPH model (area under the receiver-operating characteristic curve, 1 year: 0.823 for risk factors + metabolites vs 0.759 for risk factors, 5 years: 0.830 vs 0.798, 10 years: 0.801 vs 0.776, all p < 0.05). Similar results were observed from the RSF model. Categorization of participants according to the predicted value thresholds revealed distinct cumulative risk of diabetes. Our study lends support for use of the metabolite markers to help determine individuals with prediabetes who are at high risk of progressing to diabetes and inform targeted and efficient interventions. Shanghai Municipal Health Commission (2022XD017). Innovative Research Team of High-level Local Universities in Shanghai (SHSMU-ZDCX20212501). Shanghai Municipal Human Resources and Social Security Bureau (2020074). Clinical Research Plan of Shanghai Hospital Development Center (SHDC2020CR4006). Science and Technology Commission of Shanghai Municipality (22015810500).

Associations of socioeconomic status and healthy lifestyle with incident dementia and cognitive decline: two prospective cohort studies

Little is known about the complex associations of socioeconomic status (SES) and healthy lifestyle with cognitive dysfunction. Using data from the Health and Retirement Study (HRS) [2008-2020] and the English Longitudinal Study of Ageing (ELSA) [2004-2018], SES was constructed by latent class analysis using education level, total household income and wealth. Overall healthy lifestyle was derived using information on never smoking, low to moderate alcohol consumption (drinks/day: (0, 1] for women and (0, 2] for men), top tertile of physical activity, and active social contact. A total of 12,437 and 6565 participants from the HRS and ELSA were included (40.8% and 46.0% men and mean age 69.3 years and 65.1 years, respectively). Compared with participants of high SES, those of low SES had higher risk of incident dementia (hazard ratio 3.17, 95% confidence interval 2.72-3.69 in the HRS; 1.43, 1.09-1.86 in the ELSA), and the proportions mediated by overall lifestyle were 10.4% (7.3%-14.6%) and 2.7% (0.5%-14.0%), respectively. Compared with participants of high SES and favorable lifestyle, those with low SES and unfavorable lifestyle had a higher risk of incident dementia (4.27, 3.40-5.38 in the HRS; 2.02, 1.25-3.27 in the ELSA) and accelerated rate of global cognitive decline (β=-0.058 SD/year; 95% CI:-0.073,-0.043 in the HRS; β=-0.049 SD/year; 95% CI:-0.063,-0.035 in the ELSA). Unhealthy lifestyle only mediated a small proportion of the socioeconomic inequality in dementia risk in both US and UK older adults. This work was supported by grants from the National Natural Science Foundation of China (82088102 and 82370819), the National Key R&D Program of China (2023YFC2506700), the Shanghai Municipal Government (22Y31900300), the Shanghai Clinical Research Center for Metabolic Diseases (19MC1910100), the Innovative Research Team of High-Level Local Universities in Shanghai, the Special Project for Clinical Research in Health Industry of Shanghai Municipal Health Commission (202340084), and Ruijin Hospital Youth Incubation Project (KY20240805). Y.X. is supported by the National Top Young Talents program.

Investigating the efficacy of acupuncture in treating patients with metabolic-associated fatty liver disease: a protocol for a randomised controlled clinical trial

IntroductionAcupuncture is widely used for metabolic-associated fatty liver disease (MAFLD) treatment; however, the clinical efficacy has not been confirmed due to the lack of high-level evidence-based clinical practice. The purpose...

Electroacupuncture versus solifenacin succinate for female overactive bladder: study protocol for a multicentre, randomised, controlled, double-dummy, non-inferiority trial

IntroductionOveractive bladder (OAB) affects approximately 500 million people worldwide, with a higher prevalence in women than in men, significantly impacting the quality of life of female patients. Treatment options for...

Acupuncture and Escitalopram for Treating Major Depression Clinical Study (AE-TMDCS): protocol for a factorial randomised controlled trial

IntroductionMajor depressive disorder (MDD), the second leading cause of disability globally, is considered to be associated with a consequent deterioration in the quality of life and can lead to a...

Risk factors for complications in patients undergoing gastrointestinal endoscopy under acupuncture anesthesia.

To identify risk factors for complications in patients undergoing gastrointestinal endoscopy under acupuncture anesthesia and to construct a nomogram predictive model. This retrospective study included 292 patients who underwent gastrointestinal endoscopy under acupuncture anesthesia at the Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from June 2020 to May 2023. Logistic regression analysis was used to identify risk factors for complications in patients undergoing gastrointestinal endoscopy under acupuncture anesthesia. A nomogram prediction model was constructed using the RMS package of R4.1.2 software based on the independent risk factors identified. The predictive performance of the model was assessed using consistency index (C-index), calibration curve, and receiver operating characteristic (ROC) curve. Seventy-five patients (25.68%) had complications. Body mass index (BMI), history of cardiovascular diseases, fasting time, history of respiratory diseases, and Sedation-Agitation Scale (SAS) score were identified as risk factors for complications. Based on this risk, a nomogram predictive model was constructed. The C-index of the nomogram model was 0.927. Calibration curve showed a good consistency between actual observations and nomogram predictions. The ROC curve area under curve (AUC) was 0.927 (95% CI: 0.895-0.959), indicating a certain predictive value for the occurrence of complications. When the optimal cut-off value was selected, the sensitivity and specificity of the model were 77.0% and 92.0%, respectively, indicating that the predictive model was effective. BMI, history of cardiovascular disease, fasting time, history of respiratory disease, and SAS score are independent risk factors for complications in patients undergoing gastrointestinal endoscopy under acupuncture anesthesia. The constructed nomogram predictive model has a good performance in predicting the occurrence of complications in patients undergoing gastrointestinal endoscopy with under acupuncture anesthesia.

Clinical effects of IPCH after the surgery for ovarian cancer at the middle or advanced stage and its impacts on tumor markers and immune functions.

To evaluate the clinical effects of intraperitoneal chemohyperthermia (IPCH) in the treatment of postoperative patients with advanced stage ovarian cancer, and its impacts on tumor markers and immune functions. This is a retrospective study. One hundred and twenty patients with advanced stage ovarian cancer received in Shanghai 7th People's Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from May 10, 2022 to June 10, 2023 were selected and randomly divided into control and study groups (n=60 each group). Patients in the control group were administered routine intravenous chemotherapy, the study group underwent IPCH besides routine intravenous chemotherapy based on the control group. Comparatively analyzed the clinical effects, adverse reaction occurrence rates, and variations in relevant observation targets, the tumor marker after and before the treatment. Total efficacy in the study and control groups are proved to be with statistically significant differences. The occurrence of adverse reactions proved that no significant differences is seen between both groups. After the treatment, CEA, CA19-9, and CA125 levels in patients of the study group are apparently lower than those in the control group, showing statistically significant differences; expression levels of CD3+, CD4+ and CD4+/CD8+, in the study group were enormously above those in the control group after the treatment, with statistically significant differences. IPCH has the potential to effectively enhance comprehensively clinical therapeutic effects among postoperative patients with ovarian cancer, significantly improve patients' immune states, and evidently reduce expression levels of various tumor markers.

Decision Making Under Cumulative Prospect Theory: An Alternating Direction Method of Multipliers

This paper proposes a novel numerical method for solving the problem of decision making under cumulative prospect theory (CPT), where the goal is to maximize utility subject to practical constraints, assuming only finite realizations of the associated distribution are available. Existing methods for CPT optimization rely on particular assumptions that may not hold in practice. To overcome this limitation, we present the first numerical method with a theoretical guarantee for solving CPT optimization using an alternating direction method of multipliers (ADMM). One of its subproblems involves optimization with the CPT utility subject to a chain constraint, which presents a significant challenge. To address this, we develop two methods for solving this subproblem. The first method uses dynamic programming, whereas the second method is a modified version of the pooling-adjacent-violators algorithm that incorporates the CPT utility function. Moreover, we prove the theoretical convergence of our proposed ADMM method and the two subproblem-solving methods. Finally, we conduct numerical experiments to validate our proposed approach and demonstrate how CPT’s parameters influence investor behavior, using real-world data. History: Accepted by Antonio Frangioni, Area Editor for Design &amp; Analysis of Algorithms: Continuous. Funding: This research was supported by the National Natural Science Foundation of China [Grants 12171100, 71971083, and 72171138], the Natural Science Foundation of Shanghai [Grant 22ZR1405100], the Major Program of the National Natural Science Foundation of China [Grants 72394360, 72394364], the Program for Innovative Research Team of Shanghai University of Finance and Economics [Grant 2020110930], Fundamental Research Funds for the Central Universities, and the Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science, Ministry of Education, East China Normal University. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2023.0243 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2023.0243 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .

The surgical outcomes in management of jugular foramen paragangliomas with tension free anterior rerouting of the facial never and tunnel packing of the inferior petrous sinus

Objective:The aim of this study is to evaluate the safety and efficacy of surgical interventions ofjugular foramen paragangliomas（JFP） utilizing modified surgical techniques, tensionfree anterior rerouting of the facial nerve and tunnel-packing or push-packing of the inferior petrous sinus. Methods:A retrospective analysis was conducted on a cohort of 88 patients diagnosed with JFP and treated at the Eye Ear Nose and Throat Hospital of Fudan University（in Shanghai, China） from October 2010 to June 2021. The surgical outcomes were analyzed for tumor classification, intraoperative conditions, and function of the postoperative facial nerve（FN） and lower cranial nerve（LCN）. Results:The study included a total of 88 patients, gross total resection was achieved in 70 patients（79.5%）, near total resection was obtained in 17 patients（19.3%）, and one patient undergoing subtotal resection. The average of intraoperative blood loss was 448.3 mL. Additionally, 24 patients underwent surgical total anterior rerouting（TAR）, 18 patients underwent surgical total FN tension free anterior rerouting（TF-TAR）, and 18 patients underwent surgical FN partial FN tension free anterior rerouting（TF-PAR）. Good postoperative FN function（House-Brackmann Ⅰ-Ⅱ） was achieved in 62.5% of TAR group. In the TF-TAR and PF_TAR groups, good postoperative FN function was demonstrated in 88.9% patients. It showed a significantly improvement of the FN function following application of tension-free FN anterior rerouting technique（P=0.007）. Twenty patients（22.7%） suffered from at least one LCN deficit in the preoperative evaluation. The postoperative LCN deficits was correlated with the Fisch classification of tumors, which showed a lower incidence of LCN dysfunction in classes C1-C2（4.9%, 2/41cases） and poorer outcomes of LCN dysfunction in classes C3-D（8.5%,4/47cases ）, it was likely less impacted the LCN function in the early stage tumor. Conclusion:The application of modified surgical techniques of FN tension-free anterior rerouting and tunnel-packing of the inferior petrous sinus has been shown to effectively preserve the function of the FN and LCN, decrease intraoperative blood loss, and ultimately improve patients' postoperative quality of life.

“Scapular heat penetration” technique of acupuncture in treatment of scapulohumeral periarthritis: Exploratory research: “穿胛热”针法治疗肩周炎-探索性研究

ObjectiveTo observe the clinical effect of “scapular heat penetration” technique of acupuncture in treatment of scapulohumeral periarthritis. DesignIt was a single-central randomized controlled trial, the participants, outcome assessors and statisticians were blinded. SettingThe trial was undertaken in Department of Acupuncture and Moxibustion, Yueyang Hospital of Integrated Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, from June 2021 to January 2022. ParticipantsSixty-seven patients with scalpulohumeral periarthritis were participated. InterventionsIn the control group, the routine acupuncture was given, while in the trial group, the “scapular heat penetration” technique of acupuncture was adopted. The intervention was delivered once every two days, 3 treatments a week; and one course included 9 treatments. Before the 1st treatment and after the 9th treatment, the symptoms and physical signs were observed and recorded in each group. OutcomesPrimary outcome: the score of visual analogy scale (VAS) before treatment and after treatment completion. Secondary outcomes: the range of movement (ROM) of shoulder joint, the score of Japanese Orthopaedic Association (JOA) of shoulder joint and the infrared thermal imaging temperature around the shoulder. ResultsA total of 102 cases were collected, 72 cases of them were eligible and 5 cases were withdrawn. Sixty-seven cases were included in analysis. In the within-group comparison, VAS score, ROM and JOA score as well as the shoulder temperature were all ameliorated after 9 treatments in either the trial group or the control group, compared with those before treatment (P < 0.05). In the comparison between two groups, after 9 treatments, VAS score in the trial group was lower than that of the control group (P < 0.05); and the improvements in ROM and shoulder temperature in the trial group were better than those of the control group (P < 0.05). No adverse reactions were found in the two groups. ConclusionBoth the “scapular heat penetration” technique of acupuncture and the conventional acupuncture are effective on scapulohumeral periarthritis. But, regarding the improvements in pain, ROM of shoulder joint, the activity of daily life and shoulder temperature, the “scapular heat penetration” technique of acupuncture is superior to the conventional acupuncture. Registration numberChiCTR1900025505

Uncovering the scientific landscape: A bibliometric and visualized analysis of artificial intelligence in traditional Chinese medicine

The emergence of artificial intelligence (AI) technology has presented new challenges and opportunities for Traditional Chinese Medicine (TCM), aiming to provide objective assessments and improve clinical effectiveness. However, there is a lack of comprehensive analyses on the research trajectory, key directions, current trends, and future perspectives in this field. This research aims to comprehensively update the progress of AI in TCM over the past 24 years, based on data from the Web of Science database covering January 1, 2000, to March 1, 2024. Using advanced analytical tools, we conducted detailed bibliometric and visual analyses. The results highlight China's predominant influence, contributing 54.35 % of the total publications and playing a key role in shaping research in this field. Significant productivity was observed at institutions such as the China Academy of Chinese Medical Sciences, Beijing University of Chinese Medicine, and Shanghai University of Traditional Chinese Medicine, with Wang Yu being the most prolific contributor. The journal Molecules contributed the most publications in this field. This study identified hepatocellular carcinoma, chemical and drug-induced liver injury, Papillon-Lefèvre disease, Parkinson's disease, and anorexia as the most significant disorders researched. This comprehensive bibliometric assessment benefits both seasoned researchers and newcomers, offering quick access to essential information and fostering the generation of innovative ideas in this field.