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In this communication, we propose a novel feeding scheme to design a wideband filtering patch antenna. The antenna is composed of two substrates: the feeding- and the radiating ones. Two circular patches are etched on the top surface of the radiating substrate as the radiators and a hybrid substrate integrated waveguide (SIW) and spoof localized surface plasmon (SLSP) structure is employed as the feeding scheme. Due to the abundant resonant modes and filtering feature of the hybrid SIW-SLSP structure, the antenna can radiate under the triple-mode resonance with high filtering performance. Moreover, the proposed filtering antenna has an independently adjustable capability of both low-band and high-band radiation nulls. The presented antenna is designed, fabricated and measured. Measured results reveal that the operating bandwidth reaches up to 11.3%, ranging from 7.44 GHz to 8.33 GHz. The peak gain of 10 dBi is obtained in passband with 10 dB gain suppression out of the band. This approach provides a simple way to design wideband filtering patch antenna, which can be easily integrated with planar circuit.

Establishing reliable correspondences by a deep neural network is an important task in computer vision, and it generally requires permutation-equivariant architecture and rich contextual information. In this paper, we design a Permutation-Equivariant Split Attention Network (called PESA-Net), to gather rich contextual information for the feature matching task. Specifically, we propose a novel “Split–Squeeze–Excitation–Union” (SSEU) module. The SSEU module not only generates multiple paths to exploit the geometrical context of putative correspondences from different aspects, but also adaptively captures channel-wise global information by explicitly modeling the interdependencies between the channels of features. In addition, we further construct a block by fusing the SSEU module, Multi-Layer Perceptron and some normalizations. The proposed PESA-Net is able to effectively infer the probabilities of correspondences being inliers or outliers and simultaneously recover the relative pose by essential matrix. Experimental results demonstrate that the proposed PESA-Net relative surpasses state-of-the-art approaches for pose estimation and outlier rejection on both outdoor scenes and indoor scenes (i.e., YFCC100M and SUN3D). Source codes: https://github.com/x-gb/PESA-Net .

The visible (VI) and infrared (IR) image fusion has been an active research task because of its higher segmentation accuracy rate during recent years. However, traditional VI and IR image fusion algorithms could not extract more texture and edge features of fused image. In order to more effectively extract pig-body shape and temperature feature, a new multisource fusion algorithm for shape segmentation and temperature extraction is presented based on convolutional neural network (CNN), named as MCNNFuse. Firstly, visible and infrared images are fused by modified CNN fusion model. Then, shape feature is extracted by Otsu threshold and morphological operation in view of fusion results. Finally, pig-body temperature feature is extracted based on shape segmentation. Experimental results show that segmentation model based on presented fusion method is capable of achieving 1.883–7.170% higher average segmentation accuracy rate than prevalent traditional and previously published methods. Furthermore, it establishes the groundwork for accurate measurement of pig-body temperature.

Background Painful diabetic peripheral neuropathy (PDPN) has a great impact on an individual’s quality of life. The current researchers’ previous trial suggested that acupuncture was a promising adjunctive treatment for PDPN. However, the underlying mechanism of action of acupuncture treatment for PDPN is still unclear, especially its effects at the cerebral level. The aim of this trial will be to explore how acupuncture works in treating PDPN by using multimodal cerebral imaging. Method and design This will be a randomized controlled trial. A total of 150 participants will be recruited and assigned to one of three groups: the healthy group, the DM without PDPN group and the DM with PDPN group. Participants in the DM without PDPN and the DM with PDPN groups will each be further divided between an electroacupuncture group and a sham electroacupuncture group. Participants will receive six treatment sessions per week for 4 weeks. Multimodal cerebral imaging includes resting-state functional magnetic resonance imaging (rs-fMRI), diffusion tensor imaging (DTI) and magnetic resonance spectroscopy (MRS); this neurophysiological testing will be the primary outcome measure. Subjective pain scales and blood analysis will be a secondary outcome measure and will be used to assess the clinical efficacy of the intervention. Multimodal cerebral imaging will be used to detect cerebral activity changes in each treatment group. The clinical data and fMRI data will be analysed for all the groups. Multiple correlation regression analyses will be used to assess the association between changes in cerebral functional activity and the improvement of clinical outcomes after acupuncture treatment. Discussion This study is based on the results of the researchers’ previous study, and using combined clinical and cerebral function changes, it will help evaluate the effects of acupuncture on PDPN. The investigation of acupuncture’s central mechanism of action will further expand the understanding of acupuncture treatment of PDPN. Trial registration Chinese Clinical Trial Registry ChiCTR1900024109. Registered on 26 June 2019.

In this paper, we solve the problem of feature matching by designing an end-to-end network (called TSSN-Net). Given putative correspondences of feature points in two views, existing deep learning based methods formulate the feature matching problem as a binary classification problem. In these methods, a normalizer plays an important role in the networks. However, they adopt the same normalizer in all normalization layers of the entire networks, which will result in suboptimal performance. To address this problem, we propose a Two-step Sparse Switchable Normalization Block, which involves the advantage of adaptive normalization for different convolution layers from Sparse Switchable Normalization and robust global context information from Context Normalization. Moreover, to capture local information of correspondences, we propose a Multi-Scale Correspondence Grouping algorithm, by defining a multi-scale neighborhood representation, to search for consistent neighbors of each correspondence. Finally, with a series of convolution layers, the end-to-end TSSN-Net is proposed to learn correspondences with heavy outliers for feature matching. Our experimental results have shown that our network achieves the state-of-the-art performance on benchmark datasets.

Background Perivascular epithelioid cell tumor (PEComa) is an uncommon tumor of mesenchymal origin. Cases of PEComa in the liver are extremely rare. Aim To analyze the clinicopathological features and treatment of hepatic PEComa and to evaluate the prognosis after different treatments. Methods Clinical and pathological data of 26 patients with hepatic PEComa were collected. All cases were analyzed by immunohistochemistry and clinical follow-up. Results This study included 17 females and 9 males, with a median age of 50 years. Lesions were located in the left hepatic lobe in 13 cases, in the right lobe in 11, and in the caudate lobe in 2. The median tumor diameter was 6.5 cm. Light microscopy revealed that the tumor cells were mainly composed of epithelioid cells. The cytoplasm contained heterogeneous eosinophilic granules. There were thick-walled blood vessels, around which tumor cells were radially arranged. Immunohistochemical analysis of pigment-derived and myogenic markers in PEComas revealed that 25 cases were HMB45 (+), 23 were Melan-A (+), and 22 SMA (+). TFE3 and Desmin were negative in all cases. All the fluorescence in situ hybridization samples were negative for TFE3 gene break-apart probe. Tumor tissues were collected by extended hepatic lobe resection or simple hepatic tumor resection as the main treatments. Median follow-up was 62.5 mo. None of the patients had metastasis or recurrence, and there were no deaths due to the disease. Conclusion Hepatic PEComa highly expresses melanin and smooth muscle markers, and generally exhibits an inert biological behavior. The prognosis after extended hepatic lobe resection and simple hepatic tumor resection is semblable.

Traditional neurosurgical craniotomy primarily uses two‐dimensional cranial medical images to estimate the location of a patient’s intracranial lesions. Such work relies on the experience and skills of the doctor and may result in accidental injury to important intracranial physiological tissues. To help doctors more intuitively determine patient lesion information and improve the accuracy of surgical route formulation and craniotomy safety, an augmented reality method for displaying neurosurgery craniotomy lesions based on feature contour matching is proposed. This method uses threshold segmentation and region growing algorithms to reconstruct a 3‐D Computed tomography image of the patient’s head. The augmented reality engine is used to adjust the reconstruction model’s relevant parameters to meet the doctor’s requirements and determine the augmented reality matching method for feature contour matching. By using the mobile terminal to align the real skull model, the virtual lesion model is displayed. Using the designed user interface, doctors can view the patient’s personal information and can zoom in, zoom out, and rotate the virtual model. Therefore, the patient’s lesions information can be visualized accurately, which provides a visual basis for preoperative preparation.

BACKGROUND Ear molding is a safe and effective way to treat babies born with ear deformities. In this study, the authors explored the long-term effectiveness of ear molding and determined the factors that relate to recurrence. METHODS A retrospective review of 200 consecutive infants treated with the EarWell System from March of 2018 to August of 2019 was performed. Immediate and long-term effectiveness was evaluated and compared. RESULTS A total of 190 children (314 ears) were included. The mean age at presentation was 16.2 days (range, 0 to 100 days). The most common deformity was constricted ear [172 ears (54.8 percent)], and the rarest deformity was cryptotia [four ears (1.3 percent)]. At the completion of treatment, 10 constricted ears were evaluated to be unsuccessful. The immediate success rates of mild and severe constricted ears were 95.7 percent and 93.1 percent, respectively. The average long-term follow-up was 336 days (range, 180 to 660 days) after completion of treatment. Twenty-two ears (7.2 percent) reverted to their original shape. The long-term success rates of severe constricted ears and prominent ears decreased most significantly, 83.3 percent (p = 0.030) and 66.7 percent (p = 0.042), respectively. Family history led to a decrease of long-term effectiveness of prominent ears. Age at application, sex, duration of molding, and retention taping were not correlated to the long-term outcome. CONCLUSIONS Long-term follow-up demonstrated that in a percentage of babies, the ear deformities did recur after an initially successful treatment. Severe constricted ears and prominent ears are most likely to relapse. CLINICAL QUESTION/LEVEL OF EVIDENCE Therapeutic, IV.

Liying Zhang,1,* Xinhua Chen,2,* Haili Wang,1 Haipeng Huang,1 Mengyuan Li,1 Lin Yao,1 Shiqi Ma,1 Zhen Zhong,1 Hongmei Yang,3 Hongfeng Wang4 1School of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin, 130117, People’s Republic of China; 2Department of Acupuncture and Moxibustion, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin, 130021, People’s Republic of China; 3Jilin Ginseng Academy, Changchun University of Chinese Medicine, Jilin, 130117, People’s Republic of China; 4Northeast Asia Institute of Chinese Medicine, Changchun University of Chinese Medicine, Jilin, 130117, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hongmei Yang; Hongfeng WangJilin Ginseng Academy, Changchun University of Chinese Medicine, 1035 Boshuo Road, Changchun, Jilin, 130117, People’s Republic of ChinaTel/Fax +86 431 86763992Email yanghm@mit.eduHongfeng WangNortheast Asia Institute of Chinese Medicine, Changchun University of Chinese Medicine, 1035 Boshuo Road, Changchun, Jilin, 130117, People’s Republic of ChinaTel/Fax +86 431 89912521Email ccwhf@126.comIntroduction: Traditional Chinese acupuncture has been demonstrated to be beneficial for treatment of type 2 diabetes mellitus (T2DM). The mechanism of acupuncture on T2DM is crucial for their biological activity as well as their usefulness as tools in biology and medicine. However, its mechanism is poorly understood.Methods: In an effort to explore the mechanism, eight db/db mice (a type of spontaneous T2DM mouse) were treated with adjusting internal organs and dredging channel electroacupuncture (AODCEA) for 2 weeks. Another eight db/db mice were fed as T2DM group (T2DMG), and eight db/m mice were set as normal control group (NCG). Lipopolysaccharide (LPS), interleukin-6 (IL-6), and diabetes-related indicators, such as fasting blood glucose (FBG) and triglyceride (TG), were detected by enzyme-linked immune sorbent assay (ELISA). The V4 region of 16S rRNA gene was analyzed by Illumina sequencing to evaluate the effect of AODCEA on intestinal flora. The amount of short-chain fatty acids (SCFAs) in the feces were determined by gas chromatography-mass spectrometry (GC-MS).Results: Our results indicate that AODCEA treatment can reduce diabetes-related indicators. We observed the increased probiotics such as Blautia and Lactobacillus and decreased opportunist pathogens (Alistipes, Helicobacter, Prevotella) by AODCEA interventions. Importantly, the total amount of SCFAs in the feces of T2DM mice was promoted by AODCEA. Finally, obviously alleviated systemic inflammation was exhibited through AODCEA treatment by detection of lipopolysaccharide (LPS) and interleukin-6 (IL-6) in serum.Conclusion: AODCEA can reshape the structure of intestinal flora, which can increase intestinal SCFAs, affect the circulating LPS level, and reduce the inflammatory response.Keywords: gut microbiota, acupuncture, Type 2 diabetes mellitus, short-chain fatty acids, inflammation, insulin resistance

In the past, knowledge in the fields of Architecture, Engineering and Construction (AEC) industries mainly come from experiences and are documented in hard copies or specific electronic databases. In order to make use of this knowledge, a lot of studies have focused on retrieving and storing this knowledge in a systematic and accessible way. The Building Information Modeling (BIM) technology proves to be a valuable media in extracting data because it provides physical and functional digital models for all the facilities within the life-cycle of the project. Therefore, the combination of the knowledge science with BIM shows great potential in constructing the knowledge map in the field of the AEC industry. Based on literature reviews, this article summarizes the latest achievements in the fields of knowledge science and BIM, in the aspects of (1) knowledge description, (2) knowledge discovery, (3) knowledge storage and management, (4) knowledge inference and (5) knowledge application, to show the state-of-arts and suggests the future directions in the application of knowledge science and BIM technology in the fields of AEC industries. The review indicates that BIM is capable of providing information for knowledge extraction and discovery, by adopting semantic network, knowledge graph and some other related methods. It also illustrates that the knowledge is helpful in the design, construction, operation and maintenance periods of the AEC industry, but now it is only at the beginning stage.

Immune checkpoint inhibition is an important strategy in cancer therapy. Blockade of CTLA-4 and PD-1/PD-L1 is well developed in clinical practice. In the last few years, LAG-3 has received much interest as an emerging novel target in immunotherapy. It was recently reported that FGL1 is a major ligand of LAG-3, which is normally secreted by the liver but is upregulated in several human cancers. FGL1 is a crucial biomarker and target for cancer immunotherapy. As the efficacy of immunotherapy is limited to specific types of patients, the subset of patients needs to be selected appropriately to receive precise treatment according to different biomarkers. To date, there is no test to accurately assess FGL1 expression levels. Nanobodies have some outstanding features, such as high stability, solubility and affinity for diagnostic and therapeutic applications. Here, we report the development and validation of a rapid, sensitive, and cost-effective nanobody-based immunoassay for the detection of FGL1 in human serum. In this study, human FGL1 recombinant protein was expressed and purified for the first time as an immunized antigen. Then, we constructed a nanobody phage display library and screened several nanobodies that bind FGL1 with high affinity. We selected two nanobodies targeting different epitopes of FGL1, one as a capture and the other conjugated with HRP as a probe. The double nanobody-based sandwich ELISA to detect the concentration of FGL1 showed a good response relationship in the range of 15.625–2000 ng/mL, and the recoveries from the spiked sample were in the range of 78% and 100%. This assay could be used as a potential approach for evaluating FGL1 expression for patient stratification and for predicting the therapeutic efficacy of targeting the LAG3/FGL1 axis.

There are certain disadvantages in the traditional physical education teaching model. In order to improve the advanced nature of physical education teaching methods, this paper builds a physical education evaluation system based on artificial intelligence fuzzy algorithm. The system uses fuzzy control instructions as the basis to combine human language and mechanical language, so that the machine can recognize human working language habits and execute commands according to the instructions. Moreover, in this study, the trapezoid function is selected as the membership function, and the improved particle optimization algorithm is used to capture the student’s motion process and the motion vector decomposition, and the system structure model is constructed based on the functional requirements analysis. In addition, this study conducts system performance analysis through experimental teaching methods. The research results show that this system can effectively promote the reform of teaching methods in physical education and has a certain practical effect.

What is known and objective To evaluate the clinical efficacy of acupuncture through a review and analysis of systematic reviews of acupuncture for the treatment of diabetic peripheral neuropathy. Methods Systematic reviews of acupuncture treatment for diabetic peripheral neuropathy were collected by searching CNKI, VIP, Wanfang database, Chinese Biomedical Literature Database (CBM), PubMed, Web of Science and the Cochrane Library. The retrieval period was from the establishment of the database to February 14, 2020. After literature selection and extraction, included reports were evaluated in terms of the quality of the methodology and of the report using criteria from the AMSTAR2 scale and the PRISMA statement. Results and discussion Eighty eight reviews were retrieved. The inclusion criteria were a published systematic evaluation/meta‐analysis/systematic review of acupuncture treatment for diabetic peripheral neuropathy, which included subjects meeting the diagnostic criteria for diabetic peripheral neuropathy, and which compared acupuncture treatment with non‐acupuncture treatment. After the inclusion criteria had been applied, 18 reviews were finally included. According to the PRISMA statement, 3 reports were relatively complete, 12 reports had certain defects, 3 reports had considerable information missing, and 18 reports had extremely low methodological quality according to the AMSTAR2 scale. Current evidence shows that acupuncture improves diabetic peripheral neuropathy and increases nerve conduction velocity. However, the methodological quality of the reviews is generally extremely low, and most of the reviews had certain defects, showing that there is still much room for improvement in terms of the methodology and quality of the research reports. What is new and conclusion Acupuncture appears to have an effect on DPN, effectively improving nerve conduction and clinical symptoms. Although the methodological quality of the included studies was generally very low and defects were frequent, our study highlights areas where improvement in methodology is required. There is a need for further study of the pathogenesis of DPN, and for developing a unified standard for methods of acupuncture treatment, acupoint selection, and adverse reactions reporting. Traditional Chinese medical practices such as acupuncture should adopt an evidence‐based approach to provide greater confidence in their use., This review evaluates and verifies the efficacy of acupuncture in the treatment of diabetic peripheral neuropathy by using the quality of report and methodology, in order to provide reference for clinical decision‐making.

MicroRNA 200a (miR-200a) can inhibit the activation and proliferation of hepatic stellate cells (HSCs) through the transforming growth factor-β (TGF-β) signaling pathway, and improve fibrotic lesions. However, to date, there is no study exploring the role of miR-200a in schistosomiasis liver fibrosis (SLF). In this study, 64 healthy female Balb/c mice were selected and randomly divided into four groups: normal control group (non-infected schistosomiasis group), schistosomiasis model group, Lenti-NC group (lentivirus-negative control group), and Lenti-miR-200a group (lentivirus experimental group). Fluorescence quantitative PCR detection was used to measure the expression level of RNA. HE and Masson staining were used to observe the pathological changes of mouse liver tissue. Furthermore, ELISA was used to detect the serum concentrations of inflammation factors. We found that the expression level of miR-200a in liver tissues gradually decreased with the development of SLF. However, fibrosis factors (α-SMA and TGF-β2) and inflammatory cytokines (IL-4 and IFN-γ) in liver tissues and serum increased and the expression level of Colla I reached its peak in the 6th week of infection. Besides, compared with the schistosomiasis group and Lenti-NC group, the Lenti-NC group had lower levels of α-SMA, TGF-β2 and Colla I (P > 0.05). Furthermore, inflammatory cells and blue collagen fibers appeared and they increased with the development of infection in the schistosomiasis group and Lenti-NC group, but these changes reduced significantly in Lenti-miR-200a group. Our study demonstrated that upregulation of miR-200a might contribute to inhibiting schistosomiasis liver fibrosis., Graphical abstract

Site planning and building design results are generally managed in Geographic Information System (GIS) and Building Information Modeling/Model (BIM) separately. The incompatibility of data has brought potential challenges for the assessment and delivery of the results. A data integration and simplification framework for improving site planning and building design is proposed in this paper. A BIM-GIS integrated model with a multi-scale data structure is developed to link the results of site planning and building design together. Geometric optimization algorithms are then designed to generate simplified building models with different levels of details (LODs) based on the information required at each scale. This paper provides a feasible way to integrate planning and design data from different sources to enhance the evaluation and delivery of the results. The proposed approach is validated by a village construction project in east China, and results show that the method is capable to integrate site planning and building design results from different platforms and support seamless visualization of multi-scale geometric data. It is also found that a seamless database facilitates understanding of planning and design results and improves communication efficiency. Currently, the main limitation of this paper is the limited access to 3D real-world data, and data collection techniques like point cloud are expected to solve the problem.

Accurate fire load (combustible objects) information is crucial for safety design and resilience assessment of buildings. Traditional fire load acquisition methods, such as fire load survey, which are time-consuming, tedious, and error-prone, failed to adapt to dynamic changed indoor scenes. As a starting point of automatic fire load estimation, fast recognition and detection of indoor fire load are important. Thus, this research proposes a computer vision-based method to automatically detect indoor fire loads using deep learning-based instance segmentation. First, indoor elements are classified into different categories according to their material composition. Next, an image dataset of indoor scenes with instance annotations is developed. Finally, a deep learning model, based on Mask R-CNN, is developed and trained using transfer learning to detect fire loads in images. Experimental results show that our model achieves promising accuracy, as measured by an average precision (AP) of 40.5% and AP50 of 59.2%, for instance segmentation on the dataset. A comparison with manual detection demonstrates the method’s high efficiency as it can detect fire load 1200 times faster than humans. This research contributes to the body of knowledge 1) a novel method of high accuracy and efficiency for automated fire load recognition in indoor environments based on instance segmentation; 2) training techniques for a deep learning model in a relatively small dataset of indoor images which includes complex scenes and a variety of instances; and 3) an image dataset with annotations of indoor fire loads. Although instance segmentation has been applied for several years, this is a pioneering research on using it for automated indoor fire load recognition, which paves the foundation for automatic fire load estimation and resilience assessment for the built environment.

Doxorubicin (DOX) acts as the cornerstone in multiple tumour chemotherapy regimens, however, its clinical application is often impeded due to the induction of a severe cardiotoxicity that eventually provokes left ventricular dysfunction and congestive heart failure. Coumestrol (CMT) is a common dietary phytoestrogen with pleiotropic pharmacological effects. The present study aims to investigate the role and mechanism of CMT on DOX-induced cardiotoxicity. Mice were intragastrically administrated with CMT (5 mg/kg/day) for consecutive 2 weeks and then received a single intraperitoneal injection of DOX (15 mg/kg) to mimic the clinical toxic effects after 8-day additional feeding. To verify the role of 5' AMP-activated protein kinase alpha (AMPKα), AMPKα2 global knockout mice were used. H9C2 cells were cultured to further validate the beneficial role of CMT

OBJECTIVES: Conservative treatments are usually the preferred choices for newly diagnosed adult otitis media with effusion (OME). This study was performed to explore the efficacy of conservative treatments, including medication and eustachian tube auto-inflation (ETA), for treating OME in adults and to analyze its predictors. MATERIALS AND METHODS: A total of 107 adult patients with OME were included. All patients completed two weeks of conservative treatments including medication alone or the combination of medication and ETA. RESULTS: The numbers of patients with only one and both ears affected were 79 and 28, respectively, and therefore, 135 affected ears were included. After treatment, 75 affected ears were classified as responders (55.6%), while 60 ears were classified as nonresponders (44.4%). Four predictive factors, including age, air-bone gap (ABG), tubomanometry value (TMM), and the treatment plan (all p50 years), ABG

Parkinson’s disease (PD) is a neurodegenerative disease characterized by bradykinesia, rigidity, and tremor. Age is the main risk factor. Long noncoding RNAs (lncRNAs) are novel RNA molecules of more than 200 nucleotides in length. They may be involved in the regulation of many pathological processes of PD. PD has a variety of pathophysiological mechanisms, including alpha-synuclein aggregate, mitochondrial dysfunction, oxidative stress, calcium homeostasis, axonal transport, and neuroinflammation. Among these, the impacts of lncRNAs on the pathogenesis and progression of PD need to be highlighted. lncRNAs may serve as putative biomarkers and therapeutic targets for the early diagnosis of PD. This study aimed to investigate the role of lncRNAs in various pathological processes of PD and the specific lncRNAs that might be used as putative diagnostic biomarkers and therapeutic targets of PD.

In the construction area, visuals such as drawings, photos, videos, and 3D models, play a significant role in the design, build and maintenance of a facility, bringing efficiency to generate, transfer, and store information. Advanced visual computing techniques facilitate the understanding of design contents, work plans, and other types of information shared in the construction industry. Automatic visual data collection and analysis provide many possibilities to the construction industry and a large number of works have investigated how visual computing can improve construction management processes and other problems in the construction area. However, a comprehensive literature review is needed. This study uses bibliometric approaches to review the works published to date, and analyses the development of knowledge, significant research results, and trends. The purpose of this study is to help newcomers to this research field understand knowledge structure and formulate research directions, thereby enhancing knowledge development. From this study, it can be concluded that computer vision is a key axis of improvement. Moreover, building information modeling, laser scanning, and other visualization-related techniques are also important in advancing the construction area.

As an essential way to ensure success of construction projects, on-site inspection involves intensive paperwork, while generating large amounts of textual data. Lack of understanding of information hidden in text-based inspection records always leads to overlooking of important issues and deferred decisions. Therefore, a novel text mining approach based on keyword extraction and topic modeling is introduced to identify key concerns and their dynamics of on-site issues for better decision-making process. Then, the proposed approach was demonstrated in a real world project and tested with 7250 issue records. Results showed that the proposed method could successfully extract key concerns hidden in texts and identify their changes with time, thereby enabling a more efficient on-site inspection and data-centric decision-making process. This research contributes: (1) to the body of knowledge a new framework for discovering key concerns and their changes with time in texts, and (2) to the state of practice by providing insights on hot topics and their changes with time to reduce on-site issues and make decisions efficiently.

Background Diabetic cognitive impairment (DCI) is a serious chronic complication caused by diabetes. The pathogenesis of DCI is complex, but brain nerve injury and brain nerve cell apoptosis are important pathological changes. Multimodal brain imaging is one of the most important techniques to study the neural mechanism of the brain. For the clinical treatment of DCI, there is no effective targeted Western medicine and a lack of clear drug intervention methods. Therefore, there is an urgent need to find effective complementary and alternative methods and clarify their mechanism. This research seeks to explore the multimodal brain imaging effect of “Adjust Zang-fu and Arouse Spirit” electroacupuncture for DCI. Methods This clinical research will be a randomized, sham-controlled pilot trial. Eligible participants will be randomly assigned to the intervention group (n = 60) and the control group (n = 30). The intervention group will be divided into the “Adjust Zang-fu and Arouse Spirit” electroacupuncture group (n = 30) and sham electroacupuncture group (n = 30). All participants will continue to receive routine hypoglycemic therapy. The treatment period is the same in both groups. The primary outcomes include functional magnetic resonance imaging (fMRI), magnetic resonance spectroscopy (MRS), Montreal Cognitive Assessment Scale (MoCA), and Clinical Dementia Rating (CDR). The secondary outcomes include blood glucose and blood lipid tests, Instrumental Activities of Daily Living Scale (IADL), Hachinski Ischemic Scale (HIS), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS). Outcomes will be assessed at baseline and before and after treatment, and adverse events will be examined. Inter- and intragroup analyses will be performed. Discussion This randomized controlled study, combined with multimodal brain imaging techniques and a clinical evaluation scale, was designed to explore the mechanism of “Adjust Zang-fu and Arouse Spirit” electroacupuncture in improving the central nervous system in DCI. Trial registration Chinese Clinical Trial Registration ChiCTR2000040268. Registered on 26 November 2020

Circular RNAs (circRNAs) have been implicated in the dysfunction of vascular smooth muscle cells (VSMCs), which is linked with the development of abdominal aortic aneurysm (AAA). Herein, we explored the precise action of circRNA fibronectin type III domain containing 3B (circ-FNDC3B) in VSMC injury triggered by angiotensin II (Ang-II).Circ-FNDC3B, microRNA (miR) -143-3p, and a disintegrin and metalloproteinase 10 (ADAM10) were quantified by quantitative real-time polymerase chain reaction or western blot assay. Ribonuclease R and subcellular localization assays were applied to characterize circ-FNDC3B. Cell viability, apoptosis, and proliferation were assessed by the Cell Counting Kit-8 assay, flow cytometry, and 5-Ethynyl-2' -Deoxyuridine assay, respectively. The levels of tumor necrosis factor alpha, interleukin-6, superoxide dismutase, and malonaldehyde were estimated by enzyme-linked immunosorbent assay. Direct relationship miR-143-3p and circ-FNDC3B or ADAM10 was verified by dual-luciferase reporter and RNA immunoprecipitation assays.Circ-FNDC3B was highly expressed in AAA tissues and Ang-II-treated VSMCs. Knocking down circ-FNDC3B alleviated Ang-II-induced VSMC injury. Mechanistically, circ-FNDC3B directly targeted miR-143-3p, and miR-143-3p was a downstream mediator of circ-FNDC3B in regulating cell injury induced by Ang-II. ADAM10 was directly targeted and inhibited by miR-143-3p. MiR-143-3p-mediated inhibition of ADAM10 relieved Ang-II-induced VSMC injury. Furthermore, circ-FNDC3B acted as a competing endogenous RNA for miR-143-3p to modulate ADAM10 expression.Our findings suggested that circ-FNDC3B silencing ameliorated cytotoxicity triggered by Ang-II in VSMCs at least partially depending on the regulation of the miR-143-3p/ADAM10 axis.

With a direct bandgap, two-dimensional (2D) ZnSe is a promising semiconductor material in photoelectric device fields. In this work, based on first-principles methods, we theoretically studied the modulation of the Schottky barrier height (SBH) by applying horizontal and vertical strains on graphene/ZnSe heterojunction. The results show that the inherent electronic properties of graphene and ZnSe monolayers are both well-conserved because of the weak van der Waals (vdW) forces between two sublayers. Under horizontal strain condition, the n(p)-type SBH decreases from 0.56 (1.62) eV to 0.21 (0.78) eV. By changing the interlayer distance in the range of 2.8 Å to 4.4 Å, the n(p)-type SBH decreases (increases) from 0.88 (0.98) eV to 0.21 (1.76) eV. These findings prove the SBH of the heterojunction to be tuned effectively, which is of great significance to optoelectronic devices, especially in graphene/ZnSe-based nano-electronic and optoelectronic devices.

Except for various properties, accurate and intuitive 3D representations of building elements and spaces are embedded in Building Information Models (BIMs). Thus, better understanding of spatial features of building elements and spaces is possible, which brings new opportunity in code compliance checking, indoor navigation, visualization, etc. With large amount of fine-grained 3D spatial data collected quickly and continuously, there is an urgent need for new methods to overcome problems like improper spatial expression, insufficient mining and utilization of information that exist in traditional methods. This research reviews state-of-the-art of related research and provides a summary of achievements and challenges in this area. Then, a framework consists of management, analysis, and application of 3D spatial data of BIM and a detailed discussion of each part are proposed, which would give the readers an overview of relevant methods, technologies, and tools. Moreover, potential research directions and open issues for future work are also discussed. The paper enables researchers to get a comprehensive understanding of 3D spatial data analytics of BIM as well as suggestions for future work, and thus makes a solid contribution in this area.

BACKGROUND Colorectal cancer (CRC) is considered to be a worldwide health problem because of its increasing incidence and prevalence. Surgery offers an opportunity for cure, but the postoperative recurrence rate is still high despite the advancement of chemotherapy. This study aimed to assess the efficacy and safety of prolonged capecitabine chemotherapy following CAPOX chemotherapy for stage III CRC after radical surgery. MATERIAL AND METHODS This study included 212 patients with stage III CRC undergoing open radical surgery from July 2010 to June 2015. Among those patients, 104 patients received prolonged capecitabine chemotherapy (prolonged group) following 8 cycles of CAPOX regimen chemotherapy, while the other 108 patients (control group) received no prolonged chemotherapy. The prolonged chemotherapy consisted of capecitabine (1000 mg/m² per day for 2 weeks) and was repeated every 3 weeks for 8 cycles at most. Long-term survival and toxicities were retrospectively compared. RESULTS Patient characteristics did not differ between the 2 groups. For all patients, no significant difference was found in the 3-year disease-free survival (DFS) (P=0.7775) or 3-year overall survival (OS) rates between the 2 groups (P=0.5787). The prolonged group had significantly higher frequency of hand-foot syndrome (P=0.0267) and paresthesia (P=0.0164). In further subgroup analyses, no benefit for 3-year DFS or 3-year OS of prolonged capecitabine chemotherapy was found in colon cancer or rectal cancer. CONCLUSIONS Prolonged capecitabine chemotherapy following CAPOX regimen chemotherapy failed to improve the survival of patients with stage III CRC after radical surgery.

Mechanical allodynia is a cardinal feature of pathological pain. Recent work has demonstrated the necessity of Aβ-low-threshold mechanoreceptors (Aβ-LTMRs) for mechanical allodynia-like behaviors in mice, but it remains unclear whether these neurons are sufficient to produce pain under pathological conditions. We generated a transgenic mouse in which channelrhodopsin-2 (ChR2) is conditionally expressed in vesicular glutamate transporter 1 (Vglut1) sensory neurons (Vglut1-ChR2), which is a heterogeneous population of large-sized sensory neurons with features consistent with Aβ-LTMRs. In naive male Vglut1-ChR2 mice, transdermal hindpaw photostimulation evoked withdrawal behaviors in an intensity- and frequency-dependent manner, which were abolished by local anesthetic and selective A-fiber blockade. Surprisingly, male Vglut1-ChR2 mice did not show significant differences in light-evoked behaviors or real-time aversion after nerve injury despite marked hypersensitivity to punctate mechanical stimuli. We conclude that optogenetic activation of cutaneous Vglut1-ChR2 neurons alone is not sufficient to produce pain-like behaviors in neuropathic mice. SIGNIFICANCE STATEMENT Mechanical allodynia, in which innocuous touch is perceived as pain, is a common feature of pathological pain. To test the contribution of low-threshold mechanoreceptors (LTMRs) to nerve-injury-induced mechanical allodynia, we generated and characterized a new transgenic mouse (Vglut1-ChR2) to optogenetically activate cutaneous vesicular glutamate transporter 1 (Vglut1)-positive LTMRs. Using this mouse, we found that light-evoked behaviors were unchanged by nerve injury, which suggests that activation of Vglut1-positive LTMRs alone is not sufficient to produce pain. The Vglut1-ChR2 mouse will be broadly useful for the study of touch, pain, and itch.

A wideband, low-profile, and high-gain antenna loaded with a dual-layer metasurface is proposed in this study. The metasurface consists of two metallic layers printed on two dielectric layers, in which each metallic layer contains an array of 4×4 square patch cells. The proposed antenna is fed by an aperture coupled layer under the metasurface. This design makes the antenna work at two different modes with different resonant frequencies close to each other, to enhance the bandwidth. To achieve the best bandwidth performance, a genetic algorithm is adopted to optimise the geometrical parameters of this antenna. This metasurface-based antenna maintains a low profile of 0.09λ 0 at 5 GHz, meanwhile yields wideband characteristics for both the impedance and gain bandwidth. The -10 dB impedance bandwidth of the proposed antenna is about 44% (4.08-6.38 GHz) and the 3 dB gain bandwidth reaches 45% (4.16-6.56 GHz) with a peak realised gain of 11.6 dBi. A prototype of the antenna is fabricated and the measured results demonstrate the authors' design.

A degradative solvent extraction at around 350°C for low-rank coal or biomass wastes upgrading and fractionation was proposed in our previous work. The extraction yield of low-rank coal is relatively lower than that of biomass. In this work the blends of low-rank coal and biomass were treated by this method at 350°C to investigate the interaction between them. The results showed that the yields and elemental compositions of the extracts obtained from the blends were slight different to the calculated results, which were calculated by assuming that there was no interaction between the coal and biomass. The slight promotion of yield was judged to be caused by the catalytic action of the minerals in the coal for thermal decomposition of biomass. It was worth to note that the elemental composition, molecular weight distribution, chemical structure, thermal decomposition behavior and thermoplastic behavior of the extracts obtained from low-rank coal, biomass and their blend, were rather similar to each other, independent of the properties of the raw feedstocks. Overall, the interaction between low-rank coal and biomass during the extraction was not significant. On the other hand, the proposed degradative solvent extraction method was fit not only by single low-rank coal and biomass but also by their blends to produce the product having similar physicochemical properties. This implied that an industrial system of degradative solvent extraction can use coal, biomass or their blends as feedstock at the same time without modification or adjustment.

With the development of modern information technologies and more frequent utilization of information systems to operation and maintenance (O&M) management, a great amount of O&M data are collected nowadays. However, because of the large volume and poor quality, as well as a lack of effective data analysis techniques, these data are rarely analyzed and translated into useful knowledge for O&M decisions. This study presents a data model, which is named as datacube with multi-dimensional and unrestrained characteristics, for these data to better support data mining algorithms. The model organizes all the different data in both relational database and in the memories and is able to support analysis-requirements-oriented data extractions. Based on this datacube, an O&M data mining approach is proposed with procedures of data preparation, data clustering and data mining. The proposed datacube-based data mining approach was applied to the Kunming Chang Shui international airport terminal. More than 7 years on-site repairing data were used for data mining and the outcomes verified the model and the approach to be feasible and valuable for improving O&M management.

Neuropathic pain is a major health problem that affects up to 7–10% of the population worldwide. Currently, neuropathic pain is difficult to treat because of its elusive mechanisms. Here we report that orphan G protein-coupled receptor 151 (GPR151) in nociceptive sensory neurons controls neuropathic pain induced by nerve injury. GPR151 was mainly expressed in non-peptidergic C-fibre dorsal root ganglion neurons and highly upregulated after nerve injury. Importantly, conditional knockout of Gpr151 in adult nociceptive sensory neurons significantly alleviated chronic constriction injury-induced neuropathic pain-like behaviour but did not affect basal nociception. Moreover, GPR151 in DRG neurons was required for chronic constriction injury-induced neuronal hyperexcitability and upregulation of colony-stimulating factor 1 (CSF1), which is necessary for microglial activation in the spinal cord after nerve injury. Mechanistically, GPR151 coupled with P2X3 ion channels and promoted their functional activities in neuropathic pain-like hypersensitivity. Knockout of Gpr151 suppressed P2X3-mediated calcium elevation and spontaneous pain behaviour in chronic constriction injury mice. Conversely, overexpression of Gpr151 significantly enhanced P2X3-mediated calcium elevation and dorsal root ganglion neuronal excitability. Furthermore, knockdown of P2X3 in dorsal root ganglia reversed chronic constriction injury-induced CSF1 upregulation, spinal microglial activation and neuropathic pain-like behaviour. Finally, the coexpression of GPR151 and P2X3 was confirmed in small-diameter human dorsal root ganglion neurons, indicating the clinical relevance of our findings. Together, our results indicate that GPR151 in nociceptive dorsal root ganglion neurons plays a key role in the pathogenesis of neuropathic pain and could be a potential target for treating neuropathic pain.

This study provides a numerical approach to evaluate the effect of sample sizes on fluid flow through a single rough-walled fracture. The rough-walled fracture was generated by using mathematical statistics. Its aperture follows a normal distribution along a large-size plane of dimensions 20 m × 20 m, and from this large-size fracture plane, a series of fractures with different sizes were extracted. Then, a two-dimensional (2D) Reynolds equation was solved to simulate fluid flow through these rough-walled fractures with different mean fracture apertures and roughness. The impact of normal stress on the hydraulic properties was introduced by using a hyperbolic function. The simulated results show a positive correlation between hydraulic conductivity and fracture sizes. In fact, hydraulic conductivity of the fluid flow through a single rough-walled fracture increases with the increment of the fracture size until a given size from which it stays constant. The hydraulic conductivity for this given size can then be considered as a representative of that in larger sample sizes. This given size resulted to range from 12 m to 16 m, due to the variations in mean fracture apertures, roughness and normal stress. In addition, it was also found that this representative size tends to decrease with an increase in the mean fracture apertures, while tends to increase as the fracture roughness or the normal stress increases, since those variables affect the fracture topology and contact areas, which play an important role in controlling the tortuosity and connectivity of fluid flow through a rough fracture., This work was funded by National Natural Science Foundation of China (grant numbers 51509154, 41977256, 41907167, 42002275), Natural Science Foundation of Zhejiang Province (grant number LGJ20E090001, LQ21D020001), International Scientific and Technological Cooperation Projects of Shaoxing University (grant number 2019LGGH1008). All the supports are gratefully acknowledged.

Cardiac ischemia impairs angiogenesis in response to hypoxia, resulting in ventricular remodeling. Garcinoic acid (GA), the extraction from the plant garcinia kola, is validated to attenuate inflammatory response. However, the role of GA in heart failure (HF) and neovascularization after myocardial infarction (MI) is incompletely understood. The present study is striving to explore the role of GA and the potential mechanism of which in cardiac function after MI. SD rats were randomized into sham group, MI+vehicle group, and MI+GA group in vivo. Human umbilical endothelial cells (HUVECs) were cultured in vehicle or GA, and then additionally exposed to 2% hypoxia environment in vitro. MI rats displayed a dramatically reduced myocardial injury, cardiac function and vessel density in the peri-infarcted areas. GA delivery markedly improved cardiac performance and promoted angiogenesis. In addition, GA significantly enhanced tube formation in HUVECs under hypoxia condition. Furthermore, the expressions of pro-angiogenic factors HIF-1α, VEGF-A and bFGF, and pro-angiogenic proteins phospho-VEGFR2Tyr1175 and VEGFR2, as well as phosphorylation levels of Akt and eNOS were increased by GA treatment. In conclusion, GA preserved cardiac function after MI probably via promoting neovascularization. And the potential mechanism may be partially through upregulating the expressions of HIF-1α, VEGF-A, bFGF, phospho-VEGFR2Tyr1175 and VEGFR2 and activating the phosphorylations of Akt and eNOS.

Due to the severe winter climate conditions in northern China, gas wells and pipelines are at high risk of gas hydrate blockage. In order to ensure stable gas supply in winter, the required Methanol injection concentrations are as high as 30–60 wt% of water rates in Daqing gas wells. As increasing in the water-gas ratio, large quantities of Methanol are injected into wells through Methanol injection lines. However, there are some drawbacks in the current Methanol injection process, including huge Methanol consumptions, high operating costs, large loads of the pumping system, and long residence time of Methanol in injection pipelines. In addition, large amounts of Methanol injected into well bottom will inevitably affect the liquid entrainment capacity of gas wells. Therefore, to reduce Methanol injection quantities and improve the inhibitor injection efficiency, this paper carries out a research and field test on the intelligent injection technology of mixed natural gas hydrate inhibitors. The Kinetic Hydrate Inhibitor PVCap and Methanol are mixed to study methane hydrate formation temperature under the operating pressure of 5 MPa and rotating speed of 20 r/min. The results show that the critical temperature of hydrate formation can be reduced to 0.89 ℃ and induction time can be extended to 6330 s when 1 wt% PVCap and 5 wt% Methanol were mixed, which meets the safety transportation requirements between gas wells and gathering stations. Meanwhile, an intelligent inhibitor injection device has been developed, which can inject low dose mixed inhibitors continuously and can automatically adjust the injection rates by real-time monitoring and analyzing wellhead temperatures, pressures, and water productions. The technology has been tested in a hydrate-plugged gas well X. Before the test, the well cannot be opened, the opening time was 0 in 2018, which affected the annual production capacity of 450 × 104 m3. In the field test, the injection rates of the mixed inhibitors are 0–15 L/h, gas well X resumes production successfully. Compared with the traditional process, Methanol consumption is reduced by more than 80%. The manual replenishment cycle of inhibitors can be up to 15 days, and the maintenance workload is reduced by 93.3%, which is of great significance to the construction of the digital gas field in Daqing Oilfield.

Green technology innovation (GTI) has become a basic force for promoting energy development transformation. China must play the role of the first driving force of GTI to achieve low-carbon sustainable development. Based on the relevant panel data of 30 Mainland Chinese provinces from 2007 to 2017, this paper calculates the GTI level in each province through the Slack Based Model- Global Malmquist-Luenberger (SBM-GML) model. This paper uses the Dynamic Spatial Dobbin Model (DSDM) to analyze the spatial spillover of GTI on regional energy intensity (EI) from the time and space dimensions. This study finds that GTI has achieved positive quarter-on-quarter growth each year, but innovation efficiency is low, resulting in a small overall annual innovation improvement rate. Moreover, the level of GTI in the eastern region is much higher than that in the central and western regions, and regional heterogeneity is gradually increasing. China's regional EI shows significant positive agglomeration characteristics. High EI agglomeration is mainly concentrated in major energy provinces such as those in Northwest and Northeast China, while low EI agglomeration mainly occurs in developed provinces in East and Central China with complete infrastructure and strong technological innovation.

The results of recent animal studies have suggested that cochlear synaptopathy may be an important factor involved in presbycusis. Therefore, here, we aimed to examine whether cochlear synaptopathy frequently exists in patients with presbycusis and to describe the effect of cochlear synaptopathy on speech recognition in noise. Based on the medical history and an audiological examination, 94 elderly patients with bilateral, symmetrical, sensorineural hearing loss were diagnosed as presbycusis. An electrocochleogram, auditory brainstem responses, auditory cortical evoked potentials, and speech audiometry were recorded to access the function of the auditory pathway. First, 65 ears with hearing levels of 41-50 dB HL were grouped based on the summating potential/action potential (SP/AP) ratio, and the amplitudes of AP and SP were compared between the two resulting groups. Second, 188 ears were divided into two groups: the normal SP/AP and abnormal SP/AP groups. The speech recognition abilities in the two groups were compared. Finally, the relationship between abnormal electrocochleogram and poor speech recognition (signal-to-noise ratio loss ≥7 dB) was analyzed in 188 ears. The results of the present study showed: (1) a remarkable reduction in the action potential amplitude was observed in patients with abnormal SP/AP ratios; this suggests that cochlear synaptopathy was involved in presbycusis. (2) There was a large proportion of patients with poor speech recognition in the abnormal SP/AP group. Furthermore, a larger number of cases with abnormal SP/AP ratios were confirmed among patients with presbycusis and poor speech recognition. We concluded that cochlear synaptopathy is not uncommon among elderly individuals who have hearing ability deficits, and it may have a more pronounced effect on ears with declining auditory performance in noisy environments.

Background: Benign paroxysmal positional vertigo (BPPV) is a self-limiting and recurrent disease but the cost is considerable. The number of patients with BPPV increased significantly under the quarantine policy in Hangzhou. The unhealthy lifestyle risk factors of BPPV have not yet been investigated. Thus, the objective is to analyze whether an unhealthy lifestyle is a risk factor of BPPV.Methods: One hundred and sixty three patients with idiopathic BPPV aged 22–87 years (BPPV group), and 89 aged 23–92 years sex-matched control subjects (non-BPPV group) were enrolled in this study. All BPPV patients received a definitive diagnosis which excluded secondary BPPV. Non-BPPV cases excluded BPPV, sudden deafness, Meniere's disease, ear or craniofacial surgery, vestibular neuritis, and head trauma history. We obtained a blood lipids profile, serum uric acid, total bilirubin, and related diagnostic information through the electronic medical record system. To get the time of physical activities and recumbent positions, we asked the patient or their family from February 2020 to June 2020, and the rest of the patient's information was acquired by phone or WeChat.Data Analyses: The t-test or chi-squared test, univariate, and multiple logistic regression analyses were performed for the two groups. For each factor, odds ratios were calculated with 95% confidence intervals (CIs). Moreover, test equality of two or more receiver operating characteristic (ROC) analyses were applied to the physical activities, and recumbent position time; area under curve (AUC) measures were calculated with 95% CIs and compared with each other.Results: The BPPV group had unhealthy lifestyles such as poor physical activities, prolonged recumbent position time, and low rate of calcium or VD supplementation in univariate logistic regression analyses (P < 0.05). Poor physical activities and prolonged recumbent position time were independently associated with BPPV in multiple logistic regression models (OR = 18.92, 95% CI: 6.34–56.43, p = 0.00 and OR = 1.15, 95% CI: 1.01–1.33, p < 0.04). In the comparison of ROC curves of recumbent position time and physical activities in identifying BPPV, AUCs were 0.68 (0.61–0.74), and 0.68 (0.63–0.73), respectively.Conclusion: We conclude that poor physical activities and prolonged recumbent position time may be independent risk factors for BPPV patients, but hypertension, hyperuricemia, hyperlipidemia, hemoglobin, diabetes, serum bilirubin, CHD, and CI, may not be.

Triptolide (TP) has shown potential in rheumatoid arthritis (RA) treatment, but the narrow therapeutic window limits its clinical application. In clinical practice, the compatibility of Tripterygium wilfordii and Paeonia lactiflora is often used to attenuate the toxicity of TP, but its compatibility mechanism has not been fully elucidated. The aim of this study was to investigate the pharmacokinetics and tissue distribution of a combined regimen of TP and paeoniflorin (PF) after transdermal administration in male and female Sprague Dawley (SD) rats via a rapid and sensitive liquid chromatography-tandem mass spectrometry (LC-MS/MS) method. The results showed that after percutaneous administration of TP and PF, there was no significant difference in AUC (0-t) (area under the curve) of TP, the peak concentration decreased by 58.17%, and the peak time was delayed. The AUC (0-t) of PF increased significantly ( P P P P

In the pharmaceutical industry, linear die filling is widely employed in R&D, while rotary die filling is very common in commercial production. It is not clear if powder die filling behaviour in a linear die filling system is representative of the flow performance in a rotary tablet press. In this study, a linear die filling system and a rotary die filling system were used to examine flow behaviours of both poor-flowing and free-flowing powders. It was found that the performance of poor-flowing powder in the linear die filling system is slightly better than that in the rotary die filling system, while the performance of free-flowing powders in the linear die filling system is similar to that in the rotary die filling system. Hence, it is suitable to use the linear die filling system to estimate the flow behaviour during rotary die filling with free-flowing powders, but caution needs to be taken when poor-flowing powders are used.

Combining dead reckoning and Ultra-Wideband (UWB) ranging information to achieve relative localization (RL) becomes prevalent in recent years. However, two main problems, i.e., pose initialization and distributed implementation, are rarely investigated in practical multi-robot systems. In this paper, a novel two-stage RL method is proposed to fill this gap, wherein an initialization strategy, using robot-to-robot measurements acquired at different vantage points during robot motion to determine initial pose, and a consensus-based distributed particle filter (DPF), fusing statistics from local robot and neighbors to realize RL, are designed. In our system, by computing the pairwise relative pose between all robots in a team, the initialization strategy can determine an estimate of the initial pose of all robots with respect to a common reference frame and the corresponding covariance. The consensus-based DPF allows determining the relative pose of all robots with significantly reduced computing costs. Experiments results on a team of differentially driven mobile robots show the effectiveness of the initialization strategy and highlight the low computation cost of the proposed approach.

Background: Benign paroxysmal positional vertigo (BPPV) is self-limiting and recurrent but the cost is considerable. The recurrence of BPPV increased significantly under the quarantine policy in Hangzhou. The unhealthy lifestyle risk factors of the recurrence of BPPV have not yet been investigated. So, the objective is to analyze the unhealthy lifestyle risk factors of recurrent BPPV.Methods: A retrospective observational study was conducted in the Department of Neurology in Tongde Hospital of Zhejiang Province from December 2018 to March 2020. The study included 186 patients aged 23–86 years. All patients received the definitive diagnosis and canalith repositioning maneuvers (CRM) treatment and finally accomplished follow-up for one year. Demographic variables, potential recurrence risk factors, neurological examination, cranial computed tomography and lifestyle were assessed.Data Analyses: The t-test or chi-squared test was first performed for group comparison, then logistic regression analysis was performed to investigate the recurrence risk factors in all of the patients.Results: The 1-year recurrence rates of BPPV patients after reposition maneuvers were 36.02%, is significantly higher than other study especially in the first quarter of 2020 (38.8% of patients with BPPV recurrence). Logistic regression analysis shows that BPPV patients who was poor physical activities and prolonged recumbent position time have more recurrence risks. Poor physical activities (odds ratio =5.690, 95% confidence interval: 1.650-19.618, p Conclusion: We conclude that poor physical activities and prolonged recumbent position time may be independent risk factors for the recurrence of BPPV patients, but aging, Ménière’s disease, sudden deafness migraine, hypertension, hyperlipemia, diabetes, CHD, POCI, mental factors, and mental labor do not increase the recurrence risk.

Aims The long-term impact of sodium glucose cotransporter 2 (SGLT2) inhibitors on renal functions remains undefined. This study was undertaken to investigate the renal outcomes associated with SGLT2 inhibitors in patients with type 2 diabetes (T2DM) in the long term. Methods A systematic literature search of PubMed and ClinicalTrials.gov was conducted. Randomized controlled trials which reported renal outcomes at the study endpoint in patients with T2DM receiving treatments of SGLT2 inhibitors were included. Renal adverse events were determined using prespecified lists from the Medical Dictionary for Regulatory Activities or laboratory values. Odds ratio with 95% confidence interval (CI) was used for assessment of dichotomous data. The mean difference or standardized mean difference with 95% CI was used for assessment of continuous data. Random effects models were adopted to measure the pooled outcomes. Results Thirty-nine studies involving 35 trials were identified. Compared with placebo or other anti-diabetic medications, SGLT2 inhibitors were associated with significant lower incidence of composite renal outcome and acute renal failure or injury in patients with T2DM. The risk of progression of albuminuria also appeared to be decreased. No significant changes of estimated glomerular filtration rate levels or urine albumin-creatinine ratios were found in patients receiving SGLT2 inhibitors. Conclusions Overall renal safety and beneficial effects are indicated for SGLT2 inhibitors. Further confirmative data from large trials and real-world studies are needed.

In the coherent PHI-OTDR system, the phase signal is retrieved based on the reference point and the observation point which are off and closer to the two sides of step of the phase change. In the experiment, the optical pulse with the changed peak power, width or shape is injected into the fiber for interrogating the change of the quantitative characteristic of the measured phase signal. When the pulse width is fixed at 200 ns and its peak power is adjusted from 14 dBm to -23 dBm, the amplitude is slightly increased from 17.3575 rad to 17.4411 rad as long as the Rayleigh backscattering signal can be found in the electrical signal. Changing the pulse width from 260 ns to 80 ns when the peak power is fixed at 14 dBm, the maximum amplitude and the minimum amplitude of the measured phase signal are 17.4625 rad to 17.4509 rad, respectively. When the arbitrary shape of the optical pulse generated from the MZI structure with a changed delay fiber from 3 m to 6 m, the amplitude varies from 17.4558 rad to 17.4819 rad. For every measurement, the change of frequency is also small. And the small value of standard deviation supports the accuracy of the measurement. All the measurements show that the changed pulse nearly has no impact on the quantitative characteristic of the measured phase signal in the coherent PHI-OTDR system. Moreover, we also find that the phase signal of external event can be correctly extracted as long as the Rayleigh backscattering signal can be detected.