bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simplification of point cloud data for large-scale ellipsoidal complex surface
Authors: Huo Kai , Yang Hui , Fang Hairong , Shi Shijian , Chen Yufei 
Published: September 2021

Abstract
Aiming at the issue that the current point cloud data simplification algorithm cannot accurately retain the subtle features of ellipsoidal complex surface, simplification algorithm of a point cloud data feature preservation based on principle component analysis (PCA) and adaptive mean shift (AMS) methods is proposed. First, K-means spatial clustering is used to make preliminary clustering and simplification of point cloud data. Second, the representative value of the subtle features of the point cloud data is calculated based on the PCA method. Then, according to the proposed improved adaptive mean shift method, the simplification of the point cloud data is developed. Finally, the point cloud data obtained by the denoising and smoothing of a large spherical crown workpiece collected at a certain equipment manufacturing site is used as the experimental object, and a comparative experiment is conducted between the proposed simplification algorithm and the k-means clustering algorithm, which proves the proposed algorithm can effectively maintain the subtle feature points of the ellipsoidal point cloud data.
Analysis and Research on Tree-climbing and Pruning Robots
Authors: Wang Jichen , Zheng Hai , Zhang Chao , Meng Chaoying 
Published: September 2021

Abstract
Tree climbing and pruning robot mainly achieve climbing and pruning two movements to help people from the dangerous high environment. This paper analyzed the research and application status of tree climbing and pruning robot at home and abroad. Finally, the development trend of tree climbing and pruning robot is discussed.
Research progress of replaceable steel coupling beam
Authors: Sun Fengyuan 
Published: September 2021

Abstract
Coupling beam is crucial to the seismic performance of the shear wall structure. When the coupling beam has enough ductility, there will be cracks on the section and plastic hinges will appear under earthquake, which will absorb a large amount of seismic energy. The coupling beam plays an important role in reducing the force inside the shear wall and delaying the yield of the shear wall. At the same time, the plastic hinge still transfers the bending moment and shear force, therefore, to act as a certain constraint on the shear wall to help the shear wall to maintain enough stiffness and strength. Among them, the replaceable coupling beam can help the recovery of structural performance, with great advantages and application prospects. This paper mainly summarizes the research progress of replaceable coupling beam, and analyzes its advantages and disadvantages.
Hole Depth Measuring Device based on Mechanical Wave Reflection
Authors: Gao Jun 
Published: September 2021

Abstract
In view of the problems of low efficiency and large human factors in the current quality acceptance of underground drilling construction in coal mine, which mainly depends on the manual counting of drill pipes during drilling withdrawal, a portable drilling depth measurement device is designed based on the principle of mechanical wave reflection in drill pipe string, using the propagation speed of mechanical wave in the drill string and the time of one cycle of mechanical wave back and forth in the drill string, the length of drill string in the drill hole is calculated and the drilling depth is determined. The designed mine drilling depth measuring device is mainly composed of three parts: exciter, probe and host. The key functions of data processing and human-computer interaction are realized by the software and hardware of the host. The field tests in Dafosi Coal Mine and Sihe Coal Mine verify that the measuring depth of the device is greater than 200m and the maximum error is no more than 10m, which can meet the urgent needs of underground hole depth measurement in coal mine.
Research on Key Technologies of Ocean Thermal Desalination
Authors: Sun Xinchun , Xia Chao 
Published: September 2021

Abstract
Due to the process of urbanization and industrialization, the crisis of freshwater resources has become a problem to be solved by mankind. Although the traditional low-temperature multi-effect distillation method, multi-stage flash evaporation method and reverse osmosis membrane method seawater desalination currently occupy the mainstream position [1], Low-temperature multi-effect distillation method brine evaporation temperature cannot exceed 70 °C, reverse osmosis membrane method has the characteristics of high requirements for seawater pretreatment, and multi-stage flash evaporation method has the defect of high energy consumption. Therefore, ocean temperature difference can be used as a renewable energy source. Due to the huge reserves, about 10TW (10x1012W) that can be developed and utilized in the world is recognized by the international community as one of the most potential energy sources[2]. This article first describes the significance of the development of ocean temperature difference energy and the current research status of ocean temperature difference energy seawater desalination; secondly, it takes the ocean temperature difference energy seawater desalination method as the research object, based on the technical difficulties of ocean temperature difference energy seawater desalination and the process of the seawater desalination method that reduces the temperature difference. Four aspects put forward the main factors to improve the performance of the system; finally, it is concluded that the transformation of the key technological achievements of the ocean temperature difference energy seawater desalination method will provide more energy-saving, environmentally friendly, and more efficient for the comprehensive development and utilization of marine engineering, offshore oil drilling platforms, and islands. High-quality freshwater resources.
Optimization of PID parameter tuning for gravity stabilized platform based on improved differential evolutionary algorithm
Authors: Chen Xin , Li Fangneng , He Hongyang , Wu Miao 
Published: September 2021

Abstract
To address the difficulty of the PID controller parameters tuning of gravity stabilized platform, an improved differential evolutionary (IDE) algorithm containing two currently better variational strategies is proposed. In the process of algorithm iteration, the mutation factor and crossover probability factor of the algorithm are gradually changed to improve the optimization performance of the algorithm. On this basis, the improved differential evolution algorithm is applied to the PID controller parameter tuning problem of gravity stabilized platform. Simulation results show that the algorithm is effective and can be used to optimize the parameters of PID controller of gravity stabilization platform.
Central Pattern Generator Model Design and Gait Control Research of Amphibious Robotic Fish
Authors: Yang Wenlin , Wu Peng , Zhou Xiaoqi , Zhu Puqiang , Liu Xinyu 
Published: September 2021

Abstract
Central Pattern Generator (CPG) has the characteristics of strong adaptability and various output forms, which is suitable for amphibious robotic fish whose environment may change at any time. According to the bionic prototype, the Hopf oscillators on ipsilateral and contralateral side were coupled to form a CPG network topology model, which was used to control the steering gear and realize the waveform propulsion of the fins. In MATLAB, parameters such as amplitude and frequency were set for the model to obtain the motion characteristics under five actual gaits. The output curve is consistent with the theory and the conversion flow field is smooth, which proves the correctness of the CPG model and can be used as the target of subsequent simulation. Finally, through ADAMS and MATLAB co-simulation, the output swing angle curve of the controlled object (steering gear) is obtained, which accords with the abovementioned control goal. This guaranteed the effectiveness of CPG model control. Moreover, the centroid and torque of the steering gear changes in the gait process of crawling and steering are especially analyzed, these changes indicate that the steering gear does not lose too much power during the rigid contact between the fin and the ground and prove the practical feasibility of the theory.
Numerical Simulation and Analysis of Air Supply Mode in Luxury Cruise Air-conditioning System
Authors: Zhang Shaoshu , Gao Haibo , Lin Zhiguo , Zhao Yunrui , Guo Yunhua , Hu Yi 
Published: September 2021

Abstract
Passengers’ comfort was strongly affected by the indoor thermal environment in luxury cruise cabins. Based on the installation position of the fan coil unit (FCU), two different air supply modes were proposed. The indoor thermal environment of air-conditioning cabin in luxury cruise summer condition was simulated under Airpak environment with two different air supply modes. The temperature and velocity nephograms of two modes are discussed. The results show that up-supply up-return mode has excellent comfort and is suitable for cruise practical application.
Research on optimization of complex path of inspection robot
Authors: Li Dongyang , Zhong Zhifeng , Chen Tianxiong , Yan Qiangqiang 
Published: September 2021

Abstract
It is a common method to use intelligent robots for automatic inspection in highly automated ships. Path planning and optimization research are an important part of robotics. Intelligent tracking is the key to autonomous movement of mobile robots. In this paper, a grid map is used to establish a simulation model of the robot tracing environment. In a grid map, the more complex the map environment, the slower the algorithm will converge. The -fill-merge method processes the concave obstacles in the environment into regular shapes, reduces the number of unnecessary calculations, thereby greatly optimizing the tracing environment and speeding up the convergence speed. Finally, the MATLAB simulation experiment shows that the method based on environment optimization can effectively accelerate the convergence speed, avoid the local optimum, and quickly find the global optimum when dealing with the problem of autonomous tracking of intelligent robots in a map environment with a large number of concave obstacles. solution.
Grasping position recognition of spatial non-cooperative targets based on active light detection
Authors: Chen Zhihong , Lin Junqin , Wang Yanbo , Liang Binyan , Wang Yao 
Published: September 2021

Abstract
The current mainstream operation methods are mainly oriented to cooperation goals and pre-designed signs, which are difficult to meet the needs of complex tasks. Taking the non-cooperative target as the research object, this paper proposes a method of active light source detection combined with different multi-source data processing networks. When the image brightness is relatively high, the residual convolutional neural network is used to identify the target capture area in the multi-source data; when the image brightness is dark, the PointNet++ network is used to identify the capture area from the point cloud data, thereby adaptively achieving a better segmentation effect. The final experiment proved the effectiveness of this method.
Light-SAR-ShipNet (LSSNet): A Lightweight SAR Image Ship Detection System with Enhanced Deep Supervision
Authors: Zhang Lianzhong , Cai Aihua , Li Wenna , Hao Panzhou 
Published: September 2021

Abstract
Applying deep learning methods to achieve synthetic aperture radar (SAR) image ship target detection has become a current hot research topic. However, most of the existing detection networks are designed based on optical images, so when they are directly applied to SAR image target detection, there will be the following two problems: 1) There are big differences between SAR image and optical image in imaging mechanism, geometric characteristics and radiation characteristics, etc, which makes the detection network have more redundant imformation; 2) Real-time performance and accuracy are both very important in SAR image target detection task, and applying a network designed based on optical image cannot balance the performance of the two well. In response to the above problems, this paper proposes a lightweight network LSSNet specially designed for SAR image ship detection task. In earlier layers, we use depthwise separable convolution instead of conventional convolution to design dense block; in deeper layers, stacked dense blocks with shortcuts are used to enhance deep supervision, and finally achieve high-speed and high-accuracy detection. This paper uses SSDD dataset as baseline for expeiment and results show that LSSNet have higher accurracy and detecition speed. Its lightweight structure will also help transplant to hardware devices in the future.
Numerical study on the influence of anti-collision pontoon on the vortex behind pier tail and horse-shoe vortex around pier
Authors: Yang Guang , Shu Linzhao , Ji Nan , Qian Zhipeng 
Published: September 2021

Abstract
In order to study the influence of pier anti-collision pontoon on the vortex behind pier tail and horse-shoe vortex around pier, taking circular pier as an example, Reynolds stress (RSM) turbulence model is used to numerically simulate the flow around pier with anti-collision pontoon. Firstly, the rationality of the numerical simulation method and the accuracy of the results are verified by comparing with the cylindrical flow model test. Then, the bare pier is equipped with an anti-collision pontoon to calculate the flow around the pier under different water depths. The results show that the installation of anti-collision pontoon will change the vortex structure of the flow around the pier; the vortex in the pier tail will fuse obviously due to the interference of the floating tank, resulting in the non-stationary characteristics. When the water depth becomes shallow, the position of horse-shoe vortex in front of the pier will gradually close to the pier, and the bed erosion caused by horse-shoe vortex on both sides of the pier will be more serious.
Fatigue analysis of all-electric shale gas fracturing truck frame
Authors: Wang Wanli , Pang Han , Li Xincheng , Wu Yipeng , Song Xiufu 
Published: September 2021

Abstract
Fracturing truck is the core equipment in shale oil and gas exploitation. The operation environment is harsh. As the main bearing structure of the fracturing truck, the frame should have high efficiency and reliability to ensure the stable operation of the fracturing truck. Therefore, a frame model of the all-electric fracturing vehicle was established in this paper, and the load spectrum of the frame was simulated with white noise load when the fracturing vehicle was running on uneven road surface, and the finite element transient analysis of the frame was carried out. Then, a five-block diagram of fatigue analysis was established by using ncode Design-Life software, and the fatigue analysis results of the fracking truck frame were calculated according to the linear cumulative damage theory and S-N material characteristic curve. The research provides an effective reference for the detection of the fracking truck frame, so as to ensure the running stability of the fracturing truck.
The OctoPAES board for the validation of KM3NeT data acquisition system
Authors: Filippini F. , Chiarusi T. , Balbi G. , Pellegrini G. , Benfenati F. , Degli Esposti L. , Real D. , Calvo D. , Van Beveren V. 
Published: September 2021

Abstract
A testbench has been set up at the INFN Sezione di Bologna to optimise key elements of the KM3NeT data acquisition system. A complete framework has been built to simulate a full detection unit and test the optical network, time synchronisation, and on-shore computing resources. A fundamental tool in the test-setup is a customized electronic board: “the OctoPAES”.
Based on an Altera MAX10 CPLD, it is designed to emulate in a realistic way the optical and acoustic signals recorded by the underwater detectors. This allows us to test, in extreme conditions, the acquisition system and validate its performance with realistic data. If properly configured, the optical data provided by the OctoPAES can be combined to emulate the signals of a through-going muon or other calibration events. In this contribution the OctoPAES boards and some of their use cases at the testbench are presented.
Complement inhibition for the treatment of COVID-19 triggered thrombotic microangiopathy with cardiac failure: a case report
Authors: Utebay Didar , Seeger Harald , Müller Antonia M S , David Sascha 
Published: September 2021

Abstract

Background
Severe coronavirus disease 2019 (COVID-19) has been increasingly recognized as a multisystem disease. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can infect literally any cell type that expresses its target receptor angiotensin-converting enzyme 2. However, COVID-19-associated organ dysfunction is not only mediated by direct viral effects but also by the interaction between the host’s immune response, endotheliopathy, and microvascular coagulopathy. It has been proposed that the activation of the complement system plays a central role in the pathophysiology of severe COVID-19 and the associated endotheliopathy.

Case summary
A 76-year-old male patient with indeterminate cardiogenic shock in the setting of confirmed SARS-CoV-2 infection was admitted to our intensive care unit. Coronary angiography did not reveal a plausible explanation for his symptoms. The patient developed renal failure, neurological symptoms, severe thrombocytopenia, and a Coombs-negative haemolytic anaemia with schistocytes. All together the clinical picture was highly suggestive of a thrombotic microangiopathy (TMA) with microvascular cardiac involvement. Conventional therapeutic strategies including high-dose steroids and seven sessions of therapeutic plasma exchange were all unsuccessful. Interestingly, complement inhibition with Eculizumab as rescue approach led to a rapid clinical and laboratory improvement and the patients were discharged with normalized organ functions at Day 36.

Conclusion
The aetiology of cardiogenic shock observed in this patient cannot simply be explained by his focal and chronic coronary findings. Although viral myocarditis was not formally excluded, both the clinical features of TMA and the rapid resolution of all clinical signs and symptoms after pharmacological complement inhibition suggest a SARS-CoV-2-driven microangiopathic origin of heart failure.
Testimony, Tyranny and Treason: The Witnesses at Charles I’s Trial
Authors: Vallance Edward 
Published: September 2021

Abstract
The trial and execution of Charles I have been the subject of considerable historical study, especially in the last twenty years. One aspect of the trial, however, remains largely unexplored: the role of witness testimony. The witness depositions received on 24 and 25 January 1649 have sometimes been dismissed as a mere stalling tactic, intended to provide Charles with further time to consider entering a plea. In contrast, this article contends that the witnesses’ depositions shed important new light on the trial. Exploring the witnesses’ backgrounds allows us to connect individuals with the regiments of regicides such as John Hewson and John Barkstead. These connections, through the army petitions of 1648, also link the witnesses’ testimony and, in broader terms, the trial, with the radical ideas of justice embodied in the Levellers’ ‘Large Petition’. Connecting the trial with the arguments made in the petitions for justice of the autumn and winter of 1648/9 also allows us to reconsider the importance of the concept of ‘blood guilt’. This article suggests that, far from being marginal to the king’s trial, the multi-faceted idea of blood guilt not only influenced the court’s procedure (in terms of the calling of multiple witnesses) but also was central to many of the witness depositions. Finally, drawing on both historical and philosophical work on personal testimony, the article suggests that the witness depositions may be connected to the broader, non-legal purposes of ‘witnessing’ in offering narratives of personal suffering.
Physiological importance of NGLY1, as revealed by rodent model analyses
Authors: Fujihira Haruhiko , Asahina Makoto , Suzuki Tadashi 
Published: September 2021

Abstract
Cytosolic peptide:N-glycanase (NGLY1) is an enzyme that cleaves N-glycans from glycoproteins that has been retrotranslocated from the endoplasmic reticulum (ER) lumen into the cytosol. It is known that NGLY1 is involved in the degradation of cytosolic glycans (non-lysosomal glycan degradation) as well as ER-associated degradation, a quality control system for newly synthesized glycoproteins. The discovery of NGLY1 deficiency, which is caused by mutations in the human NGLY1 gene and results in multisystemic symptoms, has attracted interest in the physiological functions of NGLY1 in mammals. Studies using various animal models led to the identification of possible factors that contribute to the pathogenesis of NGLY1 deficiency. In this review, we summarize phenotypic consequences that have been reported for various Ngly1-deficient rodent models and discuss future perspectives to provide more insights into the physiological functions of NGLY1.
Phase II trial of natalizumab for the treatment of anti-Hu associated paraneoplastic neurological syndromes
Authors: Bastiaansen Anna E M , de Jongste Adriaan H C , de Bruijn Marienke A A M , Crijnen Yvette S , Schreurs Marco W J , Verbeek Marcel M , Dumoulin Daphne W , Taal Walter , Titulaer Maarten J , Sillevis Smitt Peter A E 
Published: September 2021

Abstract

Background
Paraneoplastic neurological syndromes with anti-Hu antibodies (Hu-PNS) have a very poor prognosis: more than half of the patients become bedridden and median survival is less than 12 months. Several lines of evidence suggest a pathogenic T cell-mediated immune response. Therefore, we conducted a prospective open-label phase II trial with natalizumab.

Methods
Twenty Hu-PNS patients with progressive disease were treated with a maximum of three monthly natalizumab cycles (300 mg). The primary outcome measure was functional improvement, this was defined as at least one point decrease in modified Rankin Scale (mRS) score at the last treatment visit. In addition, treatment response was assessed wherein a mRS score ≤3 after treatment was defined as treatment responsive.

Results
The median age at onset was 67.8 years (SD 8.4) with a female predominance (n = 17, 85%). The median time from symptom onset to Hu-PNS diagnosis was 5 months (IQR 2–11). Most patients had subacute sensory neuronopathy (n = 15, 75%), with a median mRS of 4 at baseline. Thirteen patients had a tumor, all small cell lung cancer. After natalizumab treatment, two patients (10%) showed functional improvement. Of the remaining patients, 60% had a stable functional outcome, while 30% showed further deterioration. Treatment response was classified as positive in nine patients (45%).

Conclusions
Natalizumab may ameliorate the disease course in Hu-PNS, but no superior effects above other reported immunosuppressive and immunomodulatory were observed. More effective treatment modalities are highly needed.

Trial registration
https://www.clinicaltrialsregister.eu/ctr-search/trial/2014-000675-13/NL