Background Immense volumes of personal health information are required to realize the anticipated benefits of artificial intelligence in clinical medicine. To maintain public trust in medical research, consent policies must evolve to reflect contemporary patient preferences. Methods Patients were invited to complete a 27-item survey focusing on: broad versus specific consent; opt-in versus opt-out approaches; comfort level sharing with different recipients; attitudes towards commercialization; and options to track PHI use and study results. Results 222 participants were included in the analysis; (...) 83% were comfortable sharing PHI with researchers at their own hospital, although younger patients were more uncomfortable than older patients. While 56% of patients preferred broad consent, 38% preferred specific consent; 6% preferred not sharing at all. The majority of patients preferred to be asked for permission before entry into a contact pool. Again, this trend was more pronounced for younger patients. Approximately half of patients were uncomfortable sharing PHI with commercial enterprises. Most patients preferred to track PHI usage, with the highest proportion once again reported by the youngest patients. A majority of patients also wished to be notified regarding study results. Conclusions While most patients were willing to share their PHI with researchers within their own institution, many preferred a transparent and reciprocal consent process. These data also suggest a generational shift, wherein younger patients preferred more specific consent options. Modernizing consent policies to reflect increased autonomy is crucial in fostering sustained public engagement with medical research. (shrink)

Background Rapid ethical access to personal health information to support research is extremely important during pandemics, yet little is known regarding patient preferences for consent during such crises. This follow-up study sought to ascertain whether there were differences in consent preferences between pre-pandemic times compared to during Wave 1 of the COVID-19 global pandemic, and to better understand the reasons behind these preferences. Methods A total of 183 patients in the pandemic cohort completed the survey via email, and responses were (...) compared to the distinct pre-pandemic cohort ; all were patients of a large Canadian cancer center. The survey covered broad versus study-specific consent; opt-in versus opt-out contact approach; levels of comfort sharing with different recipients; perceptions of commercialization; and options to track use of information and be notified of results. Four focus groups were subsequently conducted to elucidate reasons motivating dominant preferences. Results Patients in the pandemic cohort were significantly more comfortable with sharing all information and biological samples, sharing information with the health care institution, sharing information with researchers at other hospitals, sharing PHI provincially, nationally and internationally compared to the pre-pandemic cohort. Discomfort with sharing information with commercial companies remained unchanged between the two cohorts. Significantly more pandemic cohort patients expressed a wish to track use of PHI, and to be notified of results. Thematic analysis uncovered that transparency was strongly desired on outside PHI use, particularly when commercialization was involved. Conclusions In pandemic times, patients were more comfortable sharing information with all parties, except with commercial entities, where levels of discomfort remained unchanged. Focus groups identified that the ability to track and receive results of studies using one’s PHI is an important way to reduce discomfort and increase trust. These findings meaningfully inform wider discussions on the use of personal health information for research during global crises. (shrink)

To improve the positioning accuracy of industrial robots and avoid using the coordinates of the end effector, a novel kinematic calibration method based on the distance information is proposed. The kinematic model of an industrial robot is established. The relationship between the moving distance of the end effector and the kinematic parameters is analyzed. Based on the results of the analysis and the kinematic model of the robot, the error model with displacements as the reference is built, which is linearized (...) for the convenience of the following identification. The singular value decomposition is used to eliminate the redundant parameters of the error model. To solve the problem that traditional optimization algorithms are easily affected by data noise in high dimension identification, a novel extended Kalman filter and regularized particle filter hybrid identification method is presented. EKF is used in the preidentification of the linearized error model. With the preidentification results as the initial parameters, RPF is used to identify the kinematic parameters of the linearized error model. Simulations are carried out to validate the effectiveness of the proposed method, which shows that the method can identify the error of the parameters and after compensation the accuracy of the robot is improved. (shrink)

Electroacupuncture (EA) and electroconvulsive therapy (ECT) are often used in the management of schizophrenia. This study sought to determine whether additional EA and ECT could augment antipsychotic response and reduce related side effects. In this retrospective controlled study, 287 hospitalized schizophrenic patients who received antipsychotics (controls, n = 50) alone or combined with EA (n = 101), ECT (n = 55) or both (EA+ECT, n = 81) were identified. EA and ECT were conducted for 5 and 3 sessions per week, (...) respectively, with a maximum of 12 sessions for ECT during hospitalization. The Scale for the Assessment of Positive Symptoms (SAPS) and Scale for the Assessment of Negative Symptoms (SANS) were used to assess the severity of psychotic symptoms. Clinical response on SAPS and SANS, weight gain, and adverse events were compared. Survival analysis revealed that the ECT and EA+ECT groups had markedly greater clinical response rate than controls on SAPS [72.7% and 90.1% vs. 64.0%; relative risk (RR), 1.974 and 2.628, respectively, P ≤ 0.004] and on SANS (67.3% and 70.4% vs. 42.0%; RR, 1.951 and 2.009, respectively, P ≤ 0.015). A significantly greater response rate on SANS than controls was also observed in the EA group (64.4% versus 42.0%; RR = 1.938, P = 0.008). EA-containing regimens remarkably reduced weight gain and incidences of headache, insomnia, dry mouth, and electrocardiographic abnormalities. These results suggest that EA and ECT can serve as additional treatment for enhancing antipsychotic response and reduce the side effects in hospitalized patients with schizophrenia. (shrink)

Insufficient stiffness of industrial robots is a significant factor which affects its positioning accuracy. To improve the positioning accuracy, a novel positioning error compensation method based on the stiffness modelling is proposed in this paper. First, the positioning errors considering the end load and gravity of industrial robots due to stiffness are analyzed. Based on the results of analysis, it is found that the positioning errors can be described by two kinds of deformation errors at joints: the axial deformation error (...) and the radial deformation error. Then, the axial deformation error is modelled by the differential relationship of kinematics equations. The model of radial deformation error is deduced through the recurrence method and rotation transformation between joints. Finally, these two models are transformed into a Cartesian coordinate system, and a positioning error compensation method based on these two models is presented. Simulations based on the finite element analysis are implemented to verify the positioning error compensation method. The results show that the suggested method can efficiently predict the positioning error according to the gravity and loads, so that the positioning accuracy of industrial robots can be improved with the proposed method. (shrink)

A script traditionally used exclusively among women, nüshu, was first identified in southern rural China in 1982. Its discovery opened a new window onto women’s lifeworlds and drew many scholars to explore its ethnographic and theoretical significance. Local authorities paid no attention to this “women’s script” until the 2000s. Scholarly investigation and governmental involvement over the past three decades have shaped nüshu’s cultural politics – specifically, how it is represented and practiced in contemporary society. Based on fieldwork conducted since 1992, (...) this article traces the trajectory of nüshu’s evolving function and social meanings. In the past it served as a communication platform and social forum where women could recount and release their perturbations, and this transformed their vulnerable being into a resilient and determined becoming. This power to transform, however, became a liability once nüshu was claimed as academic property and writing nüshu became a government-supervised profession. All this calls for a rethinking of where nüshu, an endangered expressive tradition, might be heading. (shrink)

Purpose: Short track speed skating is a racing sport with racing tactics are equally crucial to speed and technical skating skills. Therefore, to investigate the relationship between starting and finishing positions for elite skaters and subsequently, explore pacing patterns for champions are necessary.Methods: To investigate a pattern of effective tactical positioning strategy, Kendall’s tau-b correlations between starting and finishing position were calculated, with 500 m races having the most positive correlation.Results: Furthermore, starting position distributions of winners in each round, as (...) well as the fluctuations in champion starting positions across rounds were analyzed. Our findings showed that skaters on the first track were inclined to win the rounds in 500, 1,000, and 1,500 m, and the differences between starting and finishing positions for champions were minimized in semi-finals. Meanwhile, the pacing patterns were gaining more fluctuations by the increase of race distances for champions, as the average standard deviation of lap rankings equaled 0.90, 1.15, and 2.21 for 500, 1,000, and 1,500 m races, respectively.Conclusion: In conclusion, elite skaters should adopt flexible tactics at the lowest cost of energy consumption. The overall variability of lap ranking in long-distance races were distinctly higher than it in short distance. (shrink)

With the rapid development of society and the dramatic change of environment, previous career counseling focusing on personal choice has been difficult to meet individuals’ needs. It is very meaningful and valuable to introduce the ideology of Life Design Counseling. In this mini review, we introduce and analyze the theory and methodology of LDC. This review puts forward challenges in the field of LDC, including the lack of attention to clients from multiple backgrounds and professional counselors, the lack of diversified (...) methods in the intervention process, and the lack of diversified research. The theoretical research, practical research, and the integration of theory and practice of LDC still need to be further concerned by researchers. (shrink)

Acid fracturing is the most important stimulation method in the carbonate reservoir. Due to the high cost and high risk of acid fracturing, it is necessary to predict the reservoir productivity before acid fracturing, which can provide support to optimize the parameters of acid fracturing. However, the productivity of a single well is affected by various construction parameters and geological conditions. Overfitting can occur when performing productivity prediction tasks on the high-dimension, small-sized reservoir, and acid fracturing dataset. Therefore, this study (...) developed a stacking heterogeneous ensemble model with a hybrid wrapper-based feature selection strategy to forecast reservoir productivity, resolve the overfitting problem, and improve productivity prediction. Compared to other baseline models, the proposed model was found to have the best predictive performances on the test set and effectively deal with the overfitting. The results proved that the hybrid wrapper-based feature selection strategy introduced in this study reduced data acquisition costs and improved model comprehensibility without reducing model performance. (shrink)