A Novel Motor Structure with Extended Particle Swarm Optimization for Space Robot Control.

This paper studies motor structures and optimization methods for space robots, proposing an optimized stepped rotor bearingless switched reluctance motor (BLSRM) to solve the poor self-starting ability and significant torque fluctuation issues in traditional BLSRMs. Firstly, the advantages and disadvantages of the 12/14 hybrid stator pole type BLSRM were analyzed, and a stepped rotor BLSRM structure was designed. Secondly, the particle swarm optimization (PSO) algorithm was improved and combined with finite element analysis for motor structure parameter optimization. Subsequently, a performance analysis of the original and new motors was conducted using finite element analysis software, and the results showed that the stepped rotor BLSRM had an improved self-starting ability and significantly reduced torque fluctuation, verifying the effectiveness of the proposed motor structure and optimization method.

Scale Enhancement Pyramid Network for Small Object Detection from UAV Images.

Object detection is challenging in large-scale images captured by unmanned aerial vehicles (UAVs), especially when detecting small objects with significant scale variation. Most solutions employ the fusion of different scale features by building multi-scale feature pyramids to ensure that the detail and semantic information are abundant. Although feature fusion benefits object detection, it still requires the long-range dependencies information necessary for small objects with significant scale variation detection. We propose a simple yet effective scale enhancement pyramid network (SEPNet) to address these problems. A SEPNet consists of a context enhancement module (CEM) and feature alignment module (FAM). Technically, the CEM combines multi-scale atrous convolution and multi-branch grouped convolution to model global relationships. Additionally, it enhances object feature representation, preventing features with lost spatial information from flowing into the feature pyramid network (FPN). The FAM adaptively learns offsets of pixels to preserve feature consistency. The FAM aims to adjust the location of sampling points in the convolutional kernel, effectively alleviating information conflict caused by the fusion of adjacent features. Results indicate that the SEPNet achieves an AP score of 18.9% on VisDrone, which is 7.1% higher than the AP score of state-of-the-art detectors RetinaNet achieves an AP score of 81.5% on PASCAL VOC.

Clinical Effect of Digital Subtraction Angiography Combined with Neurointerventional Thrombolysis for Acute Ischemic Cerebrovascular Disease and Its Influence on Vascular Endothelial Function and Oxidative Stress.

Objective: Ischemic cerebrovascular disease is a commonly seen vascular disorder in clinical practice. Given the difficulty of drug therapy to achieve ideal curative effects, interventional therapy has gradually become the preferred treatment for the disease. This research primarily discusses the short-term efficacy of digital subtraction angiography- (DSA-) guided neurointerventional thrombolysis for acute ischemic cerebrovascular disease (AICVD) and its influence on vascular endothelial function (VEF) and oxidative stress (OS). Methods: All the clinical data of 162 patients diagnosed with AICVD and treated between June 2019 and December 2021 were collected and analyzed retrospectively. They were assigned to two cohorts according to the difference in interventional methods: a conventional group (CG) given recombinant tissue plasminogen activator (rt-PA) therapy and an observation group (OG) intervened by DSA-guided neurointerventional thrombolysis. The two groups were compared with respect to short-term treatment efficacy, the National Institutes of Health Stroke Scale (NIHSS) score, cerebral hemodynamics, and VEF and OS indexes. Results: The short-term efficacy was better in OG (93.98%) than in CG (82.28%). After treatment, the NIHSS score decreased in both cohorts with obvious differences within the group at different time points, and the posttreatment NIHSS score was lower in OG as compared to CG. OG had higher Q m and V m while lower W v, Z cv, and R v than CG. Higher endothelial-dependent flow-mediated dilatation (FMD) was observed in OG, as well as lower ankle-brachial index (ABI) and pulse wave velocity (PWV). And the posttreatment MDA was lower while SOD, GSH-Px, and TAC were higher in OG compared with those on CG. All the above differences were of statistical significance (P < 0.05). Conclusions: DSA-guided neurointerventional thrombolysis is highly effective in the treatment of AICVD, which can not only effectively improve patients' neurological function and cerebral hemodynamics but also mitigate VEF injury and help to alleviate patients' OS.

Head trauma complicated with primary cranial vault lymphoma: A case report.

RATIONALE: Primary cranial vault lymphoma (PCVL) is an extremely rare extranodal lymphoma in the skull. This case study investigates the clinical features, so as to improve the understanding of the diagnosis and therapy. PATIENT CONCERNS: A 31-year-old male presented painful scalp mass at the site of 1-month-old head trauma. DIAGNOSIS: The final diagnosis was plasma cell lymphoma, which is a rare subtype of diffuse large B-cell lymphoma based on biopsy and immunohistochemistry findings. INTERVENTIONS: The patient received total tumor resection in combination with chemotherapy OUTCOMES:: The patient survived without signs of systemic dissemination for 12 months after surgery at the time of last follow-up. LESSONS: Trauma may be one of the factors that induce PCVL. The final diagnosis of PCVL depends on pathology and immunohistochemistry findings. A combined treatment of surgery, chemotherapy, and radiotherapy can achieve favorable outcomes.

4-Hydroxybenzoic acid (4-HBA) enhances the sensitivity of human breast cancer cells to adriamycin as a specific HDAC6 inhibitor by promoting HIPK2/p53 pathway.

Breast cancer is reported a very complex disease along with heterogeneous morphological characteristics and unrelated clinical behavior, and is a leading cancer among female. Nevertheless, chemo-resistance is frequently observed. Adriamycin (ADM) is a always employed drug to treat clinical breast cancer. However, strong resistance to ADM limited its clinical efficacy. Deregulation of HDAC6 activity is linked to various diseases including cancer resulting in accumulating interest for developing HDAC6 inhibitors. In the present study, for the first time, we found that 4-Hydroxybenzoic acid (4-HBA), as histone deacetylase 6 (HDAC6) inhibitor, could successfully reverse ADM resistance in human breast cancer cells. 4-HBA significantly promoted the anticancer effect of ADM on apoptosis induction, as evidenced by the increased expressions of Caspase-3 and PARP cleavage, which was associated with the promotion p53 and homeodomain interacting protein kinase-2 (HIPK2) expressions in ADM-resistant breast cancer cells. Furthermore, the suppressive effect of ADM on drug-resistant breast cancer cells was accelerated by 4-HBA through increasing the number of cells distributed in G2/M phase of cell cycle arrest. Inhibiting HIPK2/p53 pathway could abolish 4-HBA/ADM co-treatment-induced apoptosis and G2/M cell cycle arrest. Importantly, HDAC6 expressions were also significantly down-regulated in ADM-resistance breast cancer cells co-treated with ADM and 4-HBA. Additionally, 4-HBA clearly potentiated the anticancer role of ADM in the MCF-7 breast cancer animal model with low toxicity. Therefore, 4-HBA could be applied as an effective HDAC6 inhibitor to reverse human breast cancer resistance. Herein, the 4-HBA and ADM combination might represent as a useful therapeutic strategy to prevent human breast cancer.

Diagnostic value of autoantibodies combined detection for rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic, inflammatory and autoimmune disease, there are many autoantibodies produced during disease progression in the patients' serum, and this work is to select a best detection scheme for RA diagnosis. METHODS: Autoantibody levels including rheumatoid factor (RF), anti-cyclic citrullinated peptide (CCP), mutated citrullinated vimentin (MCV), anti-keratin antibodies(AKA), anti-perinuclear factor (APF), and Ig heavy chain binding protein (BIP), were measured, and the sensitivity, specificity, predictive values, accuracy, and Youden's index of different combining forms were all calculated in RA patients, disease, and healthy control group. The differences in the positive rates of the three groups were compared between any two of them. RESULTS: Generally speaking, the sensitivity of the autoantibodies detected in parallel combination was higher than that in tandem, which was more specific. The sensitivity of anti-MCV and RF calculated in parallel (87.61%) was obviously better than that of anyone autoantibody (P<.05), and only increased slightly even if more autoantibodies were tested in parallel (P>.05). The specificity of anti-CCP and BIP measured in tandem (95.92%) was obviously higher than that of anyone autoantibody (P<.05). While increasing the detected number of autoantibody from two kinds to three or more, the specificity was improved insignificantly (P>.05). CONCLUSION: Anti-BIP and CCP antibodies detected in tandem combination can obtain higher specificity, and have good clinical value for the differential diagnosis of RA.

Clinical applicability of multi-tumor marker protein chips for diagnosing ovarian cancer.

PURPOSE: To assess the value of multi-tumor marker protein chips in the diagnosis and treatment of ovarian cancer. MATERIALS AND METHODS: Twelve tumor markers (CA19-9, NSE, CEA, CA242, CK19, ß-HCG, AFP, SCC, c-PSA, CA125, CA724 and CA15-3) were detected by protein biochip in 220 patients with ovarian carcinomas, 205 with benign ovarian tumors and 200 healthy subjects. RESULTS: The positivity rate was obviously higher in ovarian cancer (77.7%), than that in the benign cases (26.3%, p<0.01) and healthy subjects (4.5%, p<0.01). Serum levels of tumor markers were furthermore significantly higher in cases with lymph node metastasis (86.8%) than those without metastasis (44.7%), p<0.01. CONCLUSIONS: Multi-tumor marker protein chips provide important assistance in the diagnosis and treatment evaluation in ovarian cancers.