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BACKGROUND Laparoscopic pyeloplasty (LP) has been widely used to treat ureteropelvic junction obstruction (UPJO); however, no previous series of reports has focused on analyzing the factors that influence the complications and outcomes of LP. In this study, we analyzed the risk factors related to complications of LP, especially that of restenosis. The aim of this study is to perform meta-analysis of relevant comparative studies to analyze the risk factors of restenosis after LP treatment with ureteral stent as of 30 April 2021. METHODS A systematic search was conducted in April 2021. The evaluation results included operation time (OT), intraoperative blood loss (IBL), anastomotic tension (AT), postoperative drainage (PD), and ectopic blood vessels (EBV). Relative risk (RR) and standardized mean difference (SMD) were extrapolated with a 95% confidence interval (CI). Subgroup analysis was performed based on research design and technology. RESULTS After screening, 7 studies were included, incorporating a total of 979 patients with PUJO treated by LP. Analysis revealed the likelihood of risk factors as follows: OT [mean difference (MD) -3.16, 95% CI: -7.18 to 0.85; P=0.12], IBL (MD -3.16, 95% CI: -7.18 to 0.85; P=0.12), AT (RR 3.86, 95% CI: 2.96 to 5.02; P

Knitwear is the second largest product category in the traditional clothing industry. The traditional clothing product supply chain is difficult to meet consumer's demand of fast fashion. AI and industrial Internet technology, together with intelligent knitting equipments make C2M flexible supply chain possible through digitization. Distributed cloud factory is built as regional node of production supported by digital twin and parallel intelligence. Personalized needs of end consumers can be quickly responded, and the cost is close to traditional large-scale assembly line. Parallel manufacturing applies industrial robots, Internet of things, cloud computing, AR and AI technologies comprehensively to build virtual factory in Cloud that carries out decision-making and management simultaneously, with highly automated production equipments in workshop. Meanwhile, it combines with smart knitting factories to build a global distributed collaborative production management platform based on parallel manufacturing architecture system through virtual reality interaction, distributed manufacturing, managed and controlled through Cloud. Intelligent upgrading of traditional knitting industry can effectively improve labor productivity, reduce production cost and number of employees.

In this paper, we propose a fiber Bragg grating (FBG) hybrid microfiber Sagnac ring refractive index sensor for measuring the refractive index of liquid. The sensing part is composed of a section of single-mode fiber(SMF) that is almost etched to the core, which cascaded with the FBG and connected to the Saganc fiber ring structure. The experimental results show that the refractive index sensitivity of the sensor is 1787. 4nm/RIU, and its linearity is 98.95%. The sensor has high sensitivity, good linearity and high stability, and has a good application prospect.. (Abstract)

Echocardiography is the common diagnostic technique for heart diseases. However, the major limitation remains to be analysis of echocardiographic videos by experts with extensive clinical experience. The recent development of handheld ultrasound devices could tremendously broaden the application scope in clinics and even at home, if artificial intelligence (AI)-assistance diagnostic tool comparable to trained cardiologists could be developed with medical videos rather than the annotated static medical images. Here, we present an AI echocardiogram diagnosis network (AIEchoDx) that differentiates four common cardiovascular diseases (Atrial Septal Defect, Dilated Cardiomyopathy, Hypertrophic Cardiomyopathy, prior Myocardial Infarction) from normal subjects with performance comparable to that of senior cardiologists and accurately recognize critical anatomic regions of interest (ROI) in each disease. Furthermore, our analysis suggested that Dilated Cardiomyopathy could be classified into two subclasses with significant differences in clinical characteristics. Finally, AIEchoDx performed efficiently for anomaly detection and disease identification of handheld device-produced echocardiographic videos.

The application of polymer composites as a substitution of metal is an effective approach to reduce vehicle weight. However, the final performance of composite structures is determined not only by the material types, structural designs and manufacturing process, but also by their mutual restrict. Hence, an integrated “material-structure-process-performance” method is proposed for the conceptual and detail design of composite components. The material selection is based on the principle of composite mechanics such as rule of mixture for laminate. The design of component geometry, dimension and stacking sequence is determined by parametric modeling and size optimization. The selection of process parameters are based on multi-physical field simulation. The stiffness and modal constraint conditions were obtained from the numerical analysis of metal benchmark under typical load conditions. The optimal design was found by multi-discipline optimization. Finally, the proposed method was validated by an application case of automotive hatchback using carbon fiber reinforced polymer. Compared with the metal benchmark, the weight of composite one reduces 38.8%, simultaneously, its torsion and bending stiffness increases 3.75% and 33.23%, respectively, and the first frequency also increases 44.78%.

ObjectiveThis study aimed to evaluate the therapeutic effect of caffeine citrate on early premature infants with apnea of prematurity (AOP), and the impact on movement and neurobehavioral development in their early lives.Study designAmongst 397 premature infants whose gestational age (GA) were less than 32 weeks, 172 premature infants were eligible for this study from January 2014 to May 2017. 94 infants received caffeine citrate intervention, 20 infants were given aminophyline and the rest 58 infants didn't received any methylxanthines. According to the incidence of apnea, caffeine using was divided into two situations of therapeutic and preventive administration. The primary clinical outcomes were recorded which included length of stay (LOS), duration of mechanical ventilation, the incidence of complications and outcomes.Results62 cases (66%) were assigned to receive caffeine within 3 days after birth, and 69 cases (74%) received caffeine less than one month. Caffeine could reduce LOS, duration of MV and nasal continues positive airway pressure (nCPAP), the incidence of nosocomial infection and bronchial pulmonary dysplasia (BPD) (p0.05). Caffeine showed different effects on clinical outcomes in early premature infants based on their GAs, and premature infants with larger GA could benefit more from the intervention (p

In order to mitigate the substantial influences of the dual-axis antenna upon the satellite attitude stability, disturbance of the antenna is modelled and two disturbance torque compensation methods are investigated in this paper. The first one is an angular momentum difference-based feedforward control method, where compensation torques for the disturbances induced by the antenna motion are computed by numerically differentiating the propagated angular momentum of the antenna with respect to time. The second one is a closed-loop estimation method that based on a first-order observer, by which disturbance torques can be observed directly and then compensated. An experimental apparatus consisting of a single-axis air-bearing testbed and a dual-axis antenna is constructed to verify these two disturbance compensation methods. Comparison experiments are performed to evaluate the responses of the air-bearing testbed under a low band-width controller with or without compensations when the antenna is slewing to a dedicated ground station. Experiment results show that the antenna-induced disturbances on the testbed is reduced by 50%to 90%during the ground station acquisition stage, where compensation torques generated by the two methods agree very well with each other, which confirms the correctness of both methods.

The main objective of this paper is to propose a quantifiable multi-objective evaluation approach method to rationalize the subjective evaluation in the selection of lightweight scheme for automotive safety components, which can be applied in the selection of materials and structures in lightweight design of automobiles and other products. The proposed method combines intuitionistic fuzzy number theory, entropy method and Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) to deal with uncertainty in the decision-making process. Intuitionistic fuzzy number theory was used to quantifies the subjective evaluation of decision makers. Entropy method and fuzzy logic theory were utilized to objectively weight the criteria and decision makers, and The TOPSIS method is used to assess the pros and cons of alternatives. To assess and validate the effectiveness of the proposed method, three automotive bumper systems using different materials and structures, namely, high strength steel (HSS), polymer composite-metal hybrid (PMH), and glass fiber-reinforced aluminum laminates (GLARE) were taken as example, some qualitative criteria including recyclability and easy manufacturability as well as several quantitative criteria such as the weight, cost, crash safety (energy absorption, peak impact force and maximum deflection), were considered and balanced. According to the findings, the evaluation results of the proposed method are consistent with the evaluation results of the existing VIKOR method and TOPSIS method, which verifies the correctness of the proposed method. In addition, from the perspective of sensitivity analysis results and method principles, it is proved that the proposed method is superior to the other two methods in robustness and efficiency.

Through analysis of 66kV transformer tangled winding connector open welding faults, the coordination of oil chromatographic analysis and electrical test can be used to find the defect and the location. It clarified the tangled windings of the transformer joint diagnosis of full open welding process in detail, and pointed out the direction for the future to find and the troubleshooting.

It is important to maximize the saturated throughput of VANET broadcasting protocol for fully utilizing wireless channel. The saturated throughput of broadcasting protocol is related to contention windows valve and contending nodes in the networks. We propose a discrete markov analytic model for performance evaluation broadcasting protocol under saturation condition for VANET, and analysis the relationship between the number of vehicle nodes and the contention windows. So, the analysis results show suitable contention window value can optimize the throughput of broadcasting protocol of VANET. The results show that the proposed analytic model and optimization contention windows value can enhance the system throughput.

PurposeThe purpose of this paper is to provide a flexible registration method for markerless augmented reality (AR) systems.Design/methodology/approachThe proposed method distinguishes itself as follows: firstly, the method is simple and efficient, as no man‐made markers are needed for both indoor and outdoor AR applications. Secondly, an adaptation method is presented to tune the particle filter dynamically. The result is a system which can achieve tolerance to fast motion and drift during tracking process. Thirdly, the authors use the reduced scale invariant feature transform (SIFT) and scale prediction techniques to match natural features. This method deals easily with the camera pose estimation problem in the case of large illumination and visual angle changes.FindingsSome experiments are provided to validate the performance of the proposed method.Originality/valueThe paper proposes a novel camera pose estimation method based on adaptive particle filter and natural features matching techniques.

PurposeThe purpose of this paper is to propose a novel registration method using Euclidean reconstruction and natural features tracking for AR‐based assembly guidance systems.Design/methodology/approachThe method operates in two steps: offline Euclidean reconstruction and online tracking. Offline stage involves obtaining the structure of scene using Euclidean reconstruction technique. The classification trees are constructed using affine transform for online initialization. In tracking, the classification‐based wide baseline matching strategy and Td,d test are used to get a fast and accurate initialization for the first frame after which a modified optical flow tracker is used to fulfill the task of feature tracking in the real‐time video sequences. The four specified points are transferred to the current image to compute the registration matrix for augmentation.FindingsFirstly, Euclidean reconstruction was used instead of projective reconstruction to get the projections of predefined features. Compared with the six points needed in projective reconstruction‐based method, this method can run normally even when only four features are successfully tracked. Secondly, an adaptive strategy was proposed to adjust the classification trees using the tracked features in online stage by which one can initialize or reinitialize the system, even with large difference between the first and reference images.Originality/valueSome indoor and outdoor experiments are provided to validate the performance of the proposed method.

A new type of all fiber inline Mach-Zehnder interferometer (MZI) based on single mode-multimode-thin core-multimode optical fiber and cascaded with a fiber Bragg grating (FBG) structure is proposed. Its temperature performance is experimental studied. In our experiments, the sensitivity of this MZI is about 157pm/℃ from 17 to 95°C. When FBG is heated only, the temperature sensitivity of FBG cascaded MZI is 9.83pm/℃. It can be found that the reference spectrum dip wavelength of MIZ can be modulated by cascaded FBG.

The design and verification of accurate temperature control system of the oven with the small or middle scale programmable logic controller (PLC) base on the dahlin algorithm is introduced. The design can achieve accurate control to the pure lag system and regulate the other logic control form the same controller. The system is cost-effective on the specific modular or instrument for the complex computing in some automatic device. Meanwhile, the design is computed and simulated by the matlab softwear for verifying the implementation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3101

Passive sentences are important in English, Chinese and Japanese, which also serve as one of the difficulties in language acquisition. Passive sentences consist of three components: object, agent and verb. This paper makes a comparison on English, Chinese and Japanese passive sentences from those three aspects and points out the similarities and differences among them, in the hope of providing reference for the study of these three languages.

Chinese government has been bothered by the problems for many years that the investments of the government project are always out of control. The examining & approving system is the key of the control process for current government project. In order to avoid making false decision and overcoming the disadvantages of current systems, In the basis of the current problems existed in government-invested projects---disorder in “investment-build-management- use” and the poor effect of the restrain and management system, this paper suggested that the government should reform its current approving system, setting up efficient entities charging the affairs of approving.

Production activities will inevitably produce emissions and occupy certain environment capacity. From the perspective of environmental capacity consumption control, distributing and dealing it with market, in order to realize coordination of production and environment. This is one of the basic objectives of environmental capacity production factor. Basing on introducing the characteristics of environmental capacity production factor, this paper do the analysis of the optimal amount in using factor, the corresponding model has been made, too.

Performance of traditional content-based image retrieval systems is far from user’s expectation due to the “semantic gap” between low-level visual features and the richness of human semantics. In attempt to reduce the “semantic gap”, this paper introduces a new effective image retrieval approach-the multi-step queries strategy-that facilitates retrieval of semantically similar images from multi layers in the feature space. In the retrieval process, images are segmented three layers, raw pixel layer, blob feature layer and global image layer, and retrieval process is refined gradually. Moreover similarity between images is measured with an approximation of the earth mover’s distance (EMD), which quickly computes minimal-cost correspondences between sets of signatures. Experimental results in medical image database show that the proposed method in this paper is good enough to describe image information, and significantly improves the performance of the retrieval system.

This paper illustrates a novel registration method for augmented reality systems based on multiplanar structures and natural feature tracking. Our method distinguishes itself from other methods in the following ways: First, our method can use arbitrary multiple planes without any information on the physical relationship of the planes. Second, we put forward a new method to establish the world coordinate system. Compared with the traditional method, our approach needs only three noncollinear points of the real world and really enhances the usability of our system. Third, we propose novel classification based local and global tracking strategies to match features between reference images and the current frame directly. Our method casts off the requirement that the initial camera position should be close to the reference images while overcoming the problem of error accumulation. Some experiments have been carried out to demonstrate the validity of the proposed approach.

A novel emergency evacuation model based on a modified Particle Swarm Optimization was presented. The Linear Weight Decreasing Particle Swarm Optimization was introduced to simulate individualpsilas movement. Compared with social force model and CA model, the new model well performed evacuation result. A prototype system of emergency evacuation simulation was implemented based on Geographic Information System (GIS) application framework. This prototype system simulated human behaviours in multi-exit evacuation environment. The result shows that some typical evacuation behaviors such as avoiding impact, queuing, congesting and herding are well performed and the model based on MPSO has good efficiency and practicability.

Traditional transmission control protocol reduces its performance by misinterpreting mobility losses due to node motion as congestion losses in wireless mobility network. While it has been shown that TCP Vegas provides better performance compared to TCP Reno, studies have identified various issues associated with the protocol in mobile ad hoc networks. This paper proposed adaptive congestion control scheme based on Traditional TCP. The key idea of our approach is to monitor permanently the TCP flow and record useful data to infer the current state of mobility ad hoc networks when packet losses are perceived, distinguish losses packets between bit error and congestion based on fuzzy logic theory, then based on wireless network link state, such as bit error, network congestion, or rerouting, Appropriate congestion control algorithm be choose to overcome limitations. Our experiments show that the scheme is able to avoid oscillation of TCP sender congestion window, and obtain more throughput than traditional transmission control protocol.

Sensor network consisting of nodes with limited battery power and wireless communications are deployed to collect environmental information. The LEACH protocol is an excellent route protocol for WSN. According to the randomizing and rotation, the cluster heads are chosen to transmit the base station in LEACH protocol. Compared to the LEACH protocol, some enhanced protocols like TEEN and APTEEN achieve great improvement. When to rotate the round and how long each round last are seldom discussed in these protocols. In this paper, we focus on the round rotation policy and give an algorithm on when to rotate round. In this algorithm, the round rotation takes place at the time when the energy consumed by anyone of the cluster head nodes overtop the energy threshold broadcasted by BS. The results of simulation show that this algorithm performs better than LEACH. The network longevity can be prolonged by the algorithm

A narrowband experimental study on millimeter-wave (Ka-band) indoor propagation is presented. Based on the data measured in a typical office/laboratory environment, it is found that the path loss is similar to that of free space propagation, with exponent of 2 regardless of what kind of antenna has been used. The cumulative distribution of slow fading agrees with the log-normal distribution while that of fast fading agrees with the Rayleigh distribution in NLOS cases or with the Rician distribution in LOS cases.

Chest wall tumors are a relatively uncommon disease in clinical practice. Most of the published studies about chest wall tumors are usually single-center retrospective studies, involving few patients. Therefore, evidences regarding clinical conclusions about chest wall tumors are lacking, and some controversial issues have still to be agreed upon. In January 2019, 73 experts in thoracic surgery, plastic surgery, science, and engineering jointly released the Chinese Expert Consensus on Chest Wall Tumor Resection and Chest Wall Reconstruction (2018 edition). After that, numerous experts put forward new perspectives on some academic issues in this version of the consensus, pointing out the necessity to further discuss the points of contention. Thus, we conducted a survey through the administration of a questionnaire among 85 experts in the world. Consensus has been reached on some major points as follows. (I) Wide excision should be performed for desmoid tumor (DT) of chest wall. After excluding the distant metastasis by multi-disciplinary team, solitary sternal plasmacytoma can be treated with extensive resection and adjuvant radiotherapy. (II) Wide excision with above 2 cm margin distance should be attempted to obtain R0 resection margin for chest wall tumor unless the tumor involves vital organs or structures, including the great vessels, heart, trachea, joints, and spine. (III) For patients with chest wall tumors undergoing unplanned excision (UE) for the first time, it is necessary to carry out wide excision as soon as possible within 1-3 months following the previous surgery. (IV) Current Tumor Node Metastasis staging criteria (American Joint Committee on Cancer) of bone tumor and soft tissue sarcoma are not suitable for chest wall sarcomas. (V) It is necessary to use rigid implants for chest wall reconstruction once the maximum diameter of the chest wall defect exceeds 5 cm in adults and adolescents. (VI) For non-small cell lung cancer (NSCLC) invading the chest wall, wide excision with neoadjuvant and/or adjuvant therapy are recommended for patients with stage T3-4N0-1M0. As clear guidelines are lacking, these consensus statements on controversial issues on chest wall tumors and resection could possibly serve as further guidance in clinical practice during the upcoming years. ispartof: TRANSLATIONAL LUNG CANCER RESEARCH vol:10 issue:11 pages:4057-4083 ispartof: location:China status: published