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Background: It is still uncertain to determine the exact diagnostic accuracy of MRI for medial meniscus (MM) tear, lateral meniscus (LM) tear and MM posterior root tear (MMPRT) at different magnetic field intensities (MFIs), different sequences and different publication dates. This study aimed to identify the diagnostic performance of MRI for different meniscus lesions at different MFIs, different sequences and different publication dates, and also to compare it with physical examination. Methods: PubMed, Embase, Ovid database, Biosis Previews, Cochrane library, Web of Sciences and manual searching were performed from 1 January 2000 to 31 December 2021. Prospective studies of meniscus injuries examined by physical examination, MRI and arthroscopy were included. Results: Thirteen studies with 1583 meniscal tears were included. The pooled sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), diagnostic odds ratio (DOR) and area under curve (AUC) were 87% (95% confidence interval (CI), 86-89%), 82% (80-83%), 7.44 (5.11- 10.75), 0.18 (0.14-0.23), 45.95 (26,68-79.15) and 0.93, respectively. The pooled specificity between MM and LM (p = 0.015), the pooled sensitivity and LR- between MM and MMPR (p = 0.031), different MRI sequences (p = 0.035, p = 0.027), and the accuracy of less than 1.5T and 3.0T (p = 0.04), 1.5T and 3.0T (p = 0.035) were statistically different. There was no publication bias (p = 0.54). Conclusion: MRI performed well in the diagnosis of MM tear, LM tear and MMPRT, and the diagnostic performance of physical examination is similar to MRI. The diagnostic accuracy of 3.0T is the highest, and the -weighted imaging (SWI) sequence may be beneficial for diagnosing meniscus tear. However, there are not enough evidence to prove that recent studies are significantly better than previous ones.

Whale Optimization Algorithm (WOA) is a new meta-heuristic algorithm proposed by Australian scholar Mirjalili Seyedali in 2016 based on the feeding behavior of whales in the ocean. In response to the disadvantages of this algorithm, such as low solution accuracy, slow convergence speed and easy to fall into local optimum, an improved Whale Optimization Algorithm (IWOA) is proposed in this paper. We introduce chaotic mapping in the initialization of the algorithm to keep the whale population with diversity; introduce adaptive inertia weights in the spiral position update of humpback whales to prevent the algorithm from falling into local optimum; and introduce Levy flight in the random search for food of humpback whales to improve the global search ability of the algorithm. In the simulation experiments, we compare the algorithm of this paper with other metaheuristic algorithms in seven classical benchmark test functions, and the numerical results of four indexes, minimum, maximum, mean and standard deviation, in different dimensions, illustrate that the algorithm of this paper has better performance results. &nbsp

The reservoir brittleness index can characterize the relative brittleness of shale oil and gas reservoirs, which provides guidance for hydraulic fracturing in the later stage of oil and gas exploration and development. It is a significant index to evaluate the sweet spot of oil and gas reservoirs. Most research on the brittleness index is about laboratory measurements and petrophysical quantitative analysis, but few studies directly predict the reservoir brittleness index from prestack seismic data. The Markov chain Monte Carlo (MCMC) probabilistic algorithm incorporating the delayed rejection adaptive Metropolis (DRAM) strategy has been developed to invert the reservoir brittleness index directly. The different brittleness index is analyzed and compared by the constructed rock-physics model of the shale gas exploration area to select the most sensitive one. Based on the chosen brittleness index, the approximate equation of the PP-wave reflection coefficient for the brittleness index is deduced, and the correctness and achievability of the modeling operator are indicated by theoretical analysis. To analyze the uncertainty of the brittleness index and enhance computational efficiency, an improved MCMC probabilistic inversion algorithm is introduced, which aims to optimize the sampling process of the general MCMC algorithm by delayed rejection and adaptive Metropolis strategies. Our study finds that the DRAM strategy improves the efficiency of the algorithm by nearly 30%. Synthetic examples and field seismic data verify the applicability and effectiveness of our inversion method.

Although significant advances have been witnessed in the application of nanozymes in recent years, exploring new strategies to enhance the enzyme-like activity of nanozymes is of urgent importance. Herein, we investigate the feasibility of accelerating the peroxidase-like reaction rate of CuO nanostructures through Fe doping. The coprecipitation method was used to synthesize Fe-doped CuO (Fe-CuO) nanozymes, and the results indicate that the diversified valence of Fe benefits the redox reaction driven by CuO-based nanozymes. With the improved peroxidase-like activity, the Fe-CuO nanozyme enables the significant chromogenic oxidation reaction of 3,3′,5,5′-tetramethylbenzidine (TMB), facilitating the construction of a visual sensing platform for the sensitive and selective determination of ascorbic acid. Under optimal conditions, the absorbance at 652 nm decreases linearly with the concentration of ascorbic acid in the range of 5–50 μM, with a limit of detection as low as 4.66 μM. This work exemplifies the activity enhancement for peroxidase-mimicking nanozymes with a metal-doping strategy and provides a broad prospect for the design of more high-performance nanozymes for biosensing applications.

The nonlocal boundary value problem with eigenparameter dependent boundary conditions is studied in this paper. Firstly, we give the asymptotic expressions of the general solution for the equation corresponding to the initial conditions with eigenparameters, then we prove the multiplicity of eigenvalues some properties of the eigenvalues and eigenfunctions. Finally, the asymptotic formulas of eigenvalues and eigenfunctions are obtained under certain mild conditions. Our method is to incorporate the perturbation theory and asymptotic analysis in the framework of classical Sturm-Liouville problems, which provides a new sight for the investigating of the Sturm-Liouville problems with eigenparameter in boundary conditions.

The electrification of shared mobility has become popular across the globe. Many cities have their new shared e-mobility systems deployed, with continuously expanding coverage from central areas to the city edges. A key challenge in the operation of these systems is fleet rebalancing, i.e., how EVs should be repositioned to better satisfy future demand. This is particularly challenging in the context of expanding systems, because i) the range of the EVs is limited while charging time is typically long, which constrain the viable rebalancing operations; and ii) the EV stations in the system are dynamically changing, i.e., the legitimate targets for rebalancing operations can vary over time. We tackle these challenges by first investigating rich sets of data collected from a real-world shared e-mobility system for one year, analyzing the operation model, usage patterns and expansion dynamics of this new mobility mode. With the learned knowledge we design a high-fidelity simulator, which is able to abstract key operation details of EV sharing at fine granularity. Then we model the rebalancing task for shared e-mobility systems under continuous expansion as a Multi-Agent Reinforcement Learning (MARL) problem, which directly takes the range and charging properties of the EVs into account. We further propose a novel policy optimization approach with action cascading, which is able to cope with the expansion dynamics and solve the formulated MARL. We evaluate the proposed approach extensively, and experimental results show that our approach outperforms the state-of-the-art, offering significant performance gain in both satisfied demand and net revenue.

The adverse consequences of untreated perinatal depression highlight the need to identify populations to target in order to increase treatment rates. The authors sought to evaluate treatment initiation for a new diagnosis of depression during pregnancy or postpartum and to describe racial-ethnic differences in initiation and type (psychotherapy, antidepressants) of treatment in a large health care system with universal perinatal depression screening.This retrospective cohort study included women who delivered a live birth in the Kaiser Permanente Northern California system between October 2012 and May 2017. Black, Latina, Asian, and White women ages ≥15 years were eligible. New depression diagnoses were defined by usingIn total, 13,637 women with a new depression diagnosis (prenatal: N=7,041, 51.6%; postpartum: N=6,596, 48.4%) were identified. Of the pregnant women, 31.4% initiated treatment, and of the postpartum women, 73.1% initiated treatment. Latina and Asian women were less likely than White women to initiate treatment postpartum. During pregnancy and postpartum, non-White women were more likely to initiate psychotherapy. White women were more likely to initiate antidepressant medication during pregnancy and postpartum or a combination of antidepressant medication and psychotherapy during the postpartum period.Research is warranted to identify patient-, provider-, and system-level barriers that contribute to racial-ethnic disparities in perinatal mental health care.

The scale of China’s study in China has expanded and tended to be stable, the educational level of foreign students has been improved, the funding structure has been changed constantly, and the popularity of majors has been dynamically adjusted. This study analyzes multiple perspectives on the educational policies on studying in China during the epidemic era. New policy for Chinese students to study in China during the epidemic period, illustrations of China’s new policy on studying in China during the epidemic period, and the problems and challenges on studying in China during the epidemic period have been examined in this study. In addition, the conclusion and remark have been offered in this study.

The present paper deals with the eigenvalues of complex nonlocal Sturm-Liouville boundary value problems. The bounds of the real and imaginary parts of eigenvalues for the nonlocal Sturm-Liouville differential equation involving complex nonlocal potential terms associated with nonlocal boundary conditions are obtained in terms of the integrable conditions of coefficients and the real part of the eigenvalues.

Background: Cancer is a major public health problem worldwide, and is the leading cause of death. The discovery and development of cancer therapeutic drugs have become the most urgent measure, which significantly benefited from the usage of small molecule compounds. The quinoline core possessed a vast number of biological activities that were found to be imperative. Objective: The aim is to design, synthesize and perform the biological evaluation of novel quinoline derivatives as potential anti-proliferative agents. Methods: Quinoline as a privileged scaffold was adopted to introduce diverse effective nitrogen heterocycles through different linkers. The synthesized compounds were spectroscopically characterized and evaluated for their anti-proliferative activity using the CCK8 assay. The mechanism of action was investigated by flow cytometry and the inhibitory activity against Pim-1 kinase was measured by mobility shift assay. Molecular docking analysis was performed to rationalize biochemical potency as well. Results: The majority of these quinolines displayed potent growth inhibitory effects, among which compounds 13e, 13f and 13h were the most effective ones, with GI50 values of 2.61/3.56, 4.73/4.88 and 4.68/2.98 μM, respectively. Structure-activity relationships indicated that both appropriate heterocycles at the C4 position of pyridine and suitable substituent at quinoline had a significant impact on improving activity. Compounds 13e and 24d exhibited moderate Pim-1 kinase inhibitory activity. Conclusion: In this study, three series of novel molecules bearing quinoline scaffold were designed, synthesized and evaluated for their in-vitro anti-proliferative activity. The most promising candidate, 13e, caused cell cycle arrest in a concentration-dependent manner and further induced apoptosis, which might represent a novel antiproliferative agent working through Pim-1 kinase inhibition to a certain extent.

Meng Chen,1,2 Yang Li,1,2 Wen-Xiu Hou,3 Da-Yong Peng,1,2 Jing-Kun Li,1,2 Hao-Xuan Zhang1,2 1Department of Orthopedic Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong Province, 250014, People’s Republic of China; 2Department of Orthopedic Surgery, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, Shandong Province, 250014, People’s Republic of China; 3Department of Spine Surgery, Shandong University Qilu Hospital, Jinan, Shandong, 250000, People’s Republic of ChinaCorrespondence: Hao-Xuan Zhang, Department of Orthopedics, The First Affiliated Hospital of Shandong First Medical University, No. 16766, Lixia District, Jingshi Road, Jinan, Shandong Province, 250014, People’s Republic of China, Tel/Fax +86531-89268540, Email hoho0605@126.comPurpose: The repair and treatment of infected bone defects (IBD) is a common challenge faced by orthopedic clinics, medical materials science, and tissue engineering.Methods: Based on the treatment requirements of IBD, we utilized multidisciplinary knowledge from clinical medicine, medical materials science, and tissue engineering to construct a high-efficiency vancomycin sustained-release system with nanodiamond (ND) and prepare a composite scaffold. Its effect on IBD treatment was assessed from materials, cytology, bacteriology, and zoology perspectives.Results: The results demonstrated that the Van-ND-45S5 scaffold exhibited an excellent antibacterial effect, biocompatibility, and osteogenesis in vitro. Moreover, an efficient animal model of IBD was established, and a Van-ND-45S5 scaffold was implanted into the IBD. Radiographic and histological analyses and bone repair-related protein expression, confirmed that the Van-ND-45S5 scaffold had good biocompatibility and osteogenic and anti-infective activities in vivo.Conclusion: Collectively, our findings support that the Van-ND-45S5 scaffold is a promising new material and approach for treating IBD with good antibacterial effects, biocompatibility, and osteogenesis.Graphical Abstract: Keywords: antibacterial effect, nanodiamond, scaffold, infected bone defects

In complex industrial processes, the technique of fault diagnosis has been playing an increasingly considerable role in ensuring the safety of life and property. Unfortunately, the process data of complex industrial processes have the features of high dimension. Feature extraction from high-dimensional data is promising to coping with the fault data with high dimension. Recently, one of manifold learning methods named discriminant locality preserving projection achieves excellent performance in feature extraction. However, the performance of discriminant locality preserving projection (DLPP) is subject to the problem of matrix decomposition in the denominator of the objection function caused by the small sample size (SSS) issue. To overcome this limitation, novel DLPP integrated with Monte Carlo sampling is proposed to enhance the performance of feature extraction through dimensionality reduction. In the proposed MC-DLPP, Monte Carlo sampling is first utilized to generate fault samples for each fault type. With the aid of the virtually generated fault samples, the rank of the matrix in the denominator of the objection function of DLPP increases, thus well addressing the SSS problem. The Softmax classifier is used for fault diagnosis. To test the performance of the improved DLPP-based fault diagnosis, case studies using the Tennessee Eastman process are carried out. Simulation results confirm the presented MC-DLPP achieves superior accuracy in fault diagnosis.

To assess the effect of a self-management intervention delivered by mobile application (APP) for depression among community-dwelling individuals with spinal cord injury.Randomized controlled trial.General communities in China.Community-dwelling individuals with spinal cord injury who were diagnosed within two years were recruited in this study. It was a convenience sample with an average age of 41.71, 82.7% participants were males.Participants in the intervention group received 5 sessions on self-management training provided by nurse-led multidisciplinary team via APP at the 2nd, 4th, 6th, 8th and 12th weeks respectively after they discharge from hospitals. A routine telephone counselling was provided for each participant in the control group by follow-up nurses at the 12th week after they discharge.The outcome of this study is depression, which is not the primary outcomes in the registration of this program. Depression was measured by Beck Depression Inventory (BDI-II) at discharge (TThere were 98 participants (49 in the intervention group and 49 in the control group) completing the intervention and data collection. Compared with the control group, the intervention group had lower level of depression at TAPP-based self-management support can be a potential intervention to reduce depression among community-dwelling individuals with spinal cord injury.