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Zheng Gao,1,* Yanyu Yue,2,* Youjia Zhang,1 Wentao Jiang,1 Yepeng Zhang,1 Feng Ran,1 Xiaoqiang Li1 1Department of Vascular Surgery, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 2100082, People’s Republic of China; 2Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210008, People’s Republic of China*These authors contributed equally to this workCorrespondence: Feng Ran; Xiaoqiang Li, Email ranfeng_nju@126.com; lixiaoqiang@mju-edu.cnPurpose: To study and compare the clinical outcomes of endovascular therapy with those of hybrid surgery in the treatment of Trans-Atlantic Inter-Society Consensus II (TASC II) D aortoiliac occlusive disease (AIOD).Patients and Methods: Patients with TASC II D-type AIOD who underwent their first surgical treatment at our hospital between March 2018 and March 2021 were enrolled and followed up to evaluate the improvement in symptoms, complications, and primary patency. The Kaplan–Meier method was used to compare the differences in primary patency between the treatment groups.Results: In total, 132 of 139 enrolled patients (94.96%) achieved technical success following treatment. The perioperative mortality rate was 1.44% (2/139), and postoperative complications occurred in two patients. Among the patients who successfully underwent surgery, 120 underwent endovascular treatment (110 patients with stenting and 10 patients with thrombolysis before stenting), 10 underwent hybrid surgery, and 2 underwent open surgery. The follow-up data were compared between the endovascular and hybrid groups. At the end of the follow-up period, the patency rates in the hybrid and endovascular groups were 100% and 89.17% (107/120), respectively. The endovascular group achieved primary patency rates of 94.12%, 92.44%, and 89.08% at 6, 12, and 24 months postoperatively, respectively, whereas the primary patency rate remained at 100% in the hybrid group, with no significant variation between the endovascular and hybrid groups (P = 0.289). The endovascular group was further divided into a stent subgroup (110 patients) and a thrombolysis/stent subgroup (10 patients), and no prominent variation was noted in the primary patency between the two subgroups (P = 0.276).Conclusion: Although open surgery is the gold standard treatment for TASC II D-type AIOD, endovascular and hybrid treatments are feasible and effective. Both methods showed good technical success and early to midterm primary patency rates.Keywords: aortoiliac occlusive disease, endovascular stenting, angioplasty, thrombolysis, hybrid surgery

Over the last few decades, numerous geological studies have been carried out in the South Shetland Islands, which have greatly contributed to a better understanding of its geological evolution. However, few attempts have been conducted to correlate the geological units throughout this archipelago. We present herein a review of the literature available in the South Shetland Islands, which we use to propose a lithostratigraphical correlation that constitutes a coherent stratigraphy for the main Mesozoic and Cenozoic rocks of the South Shetland Islands along with a new geological map. The lithostratigraphical correlation shows that the geological and environmental evolution comprises three main stages: 1) deep marine sedimentation from ∼164 to 140 Ma, 2) subaerial volcanism and sedimentation with a proliferation of plants and fauna from ∼140 to 35 Ma and 3) glacial and interglacial deposits from ∼35 Ma. The lithostratigraphical correlation also shows a broad geographical trend of decreasing age of volcanism from southwest to northeast, which has been previously suggested. However, this spatial age trend is disrupted by the presence of Eocene magmatism in Livingston Island, located in the centre of the archipelago. We suggest that the migration of volcanism occurred from the Late Cretaceous until the early Eocene. Subsequently, enhanced magmatic activity took place from the mid-Eocene until the Miocene, which we associate with processes related with the waning of subduction. Constraining the protolith age of the metamorphic complex of Smith Island remains challenging, yet holds key implications for the tectonic and accretionary evolution of the Antarctic Peninsula. The rocks recording the glaciation of this sector of Antarctica are well exposed in the northern South Shetland Islands and hold critical information for understanding the timings and processes that lead to the greenhouse to icehouse transition at the end of the Eocene. Finally, contemporaneous rocks to the breakup of Antarctic Peninsula from Patagonia that led to the opening of the Drake Passage and the development of the Scotia Sea are exposed in the centre and north of the South Shetland archipelago. Better constraints on the age and tectonic settings on these units may lead to further understanding the paleobiogeographical evolution of the region, which may have played an important role for speciation as a land bridge between South America and Antarctica. The dataset containing the geological map and associated information is shared as a shapefile or KML file.

Network operators and system administrators are increasingly overwhelmed with incessant cyber-security threats ranging from malicious network reconnaissance to attacks such as distributed denial of service and data breaches. A large number of these attacks could be prevented if the network operators were better equipped with threat intelligence information that would allow them to block or throttle nefarious scanning activities. Network telescopes or "darknets" offer a unique window into observing Internet-wide scanners and other malicious entities, and they could offer early warning signals to operators that would be critical for infrastructure protection and/or attack mitigation. A network telescope consists of unused or "dark" IP spaces that serve no users, and solely passively observes any Internet traffic destined to the "telescope sensor" in an attempt to record ubiquitous network scanners, malware that forage for vulnerable devices, and other dubious activities. Hence, monitoring network telescopes for timely detection of coordinated and heavy scanning activities is an important, albeit challenging, task. The challenges mainly arise due to the non-stationarity and the dynamic nature of Internet traffic and, more importantly, the fact that one needs to monitor high-dimensional signals (e.g., all TCP/UDP ports) to search for "sparse" anomalies. We propose statistical methods to address both challenges in an efficient and "online" manner; our work is validated both with synthetic data as well as real-world data from a large network telescope.

Intelligent personal assistants (IPA) enable voice applications that facilitate people's daily tasks. However, due to the complexity and ambiguity of voice requests, some requests may not be handled properly by the standard natural language understanding (NLU) component. In such cases, a simple reply like "Sorry, I don't know" hurts the user's experience and limits the functionality of IPA. In this paper, we propose a two-stage shortlister-reranker recommender system to match third-party voice applications (skills) to unhandled utterances. In this approach, a skill shortlister is proposed to retrieve candidate skills from the skill catalog by calculating both lexical and semantic similarity between skills and user requests. We also illustrate how to build a new system by using observed data collected from a baseline rule-based system, and how the exposure biases can generate discrepancy between offline and human metrics. Lastly, we present two relabeling methods that can handle the incomplete ground truth, and mitigate exposure bias. We demonstrate the effectiveness of our proposed system through extensive offline experiments. Furthermore, we present online A/B testing results that show a significant boost on user experience satisfaction., 9 pages, IRS KDD workshop 2021

Fifth generation with high dimensions and capabilities is expected to fulfil the requirements of the Tactile Internet. Tracking provides strong support for intuitive interaction with interfaces by hands, eyes, bodies, etc. Such interfaces can be used in the Tactile Internet for interaction with real and virtual objects. The trackers based on tracking-by-detection framework rely on manual feature detectors for robust tracking, which is particularly useful for specific objects like humans but cannot handle generic tracking problems. Therefore, a sparse feature learning method beyond manual design is proposed to learn features from the samples sampled during tracking. The basic idea is to learn a dictionary from the samples in the previous frames and construct feature representations to represent the object for detection of the location in the current frame. The samples are patches centered at the keypoints based on an adaptive features from accelerated segment test (FAST) detector with local threshold. The dictionary is learned with sparse coding for sparse representations and atoms of the dictionary are grouped to describe the local orientation of these samples. The integrated features are built after rectification of the sparse representations. The correlation filter is used to infer the object location from the sparse features. The qualitative and quantitative experimental results on OTB100 show the advantage of the proposed tracker against current state-of-the-art trackers in terms of accuracy.

Additional file 1. Results from linear regression model with age, gender, educational level, subject as outcome.

Additional file 2: Fig. S1 Top 30 significant enriched Gene Ontology (GO) including molecular function, cellular component and biological of 15 DEGs.

Additional file 4. Gene expression values of CTSZ and CLDN8 in inflamed and non-inflamed tissues obtained from GEO datasets.

Additional file 3. Gene expression values of STAP1, RPS4Y1, CTSZ, and UGT2B15 in inflamed and non-inflamed tissues obtained from GEO datasets.

Additional file 5. Gene expression values of CXCL8, REG1A, S100A8, SAA1, TNIP3, MMP3, CXCL1, CXCL2, and CXCL3 in inflamed and non-inflamed tissues obtained from GEO datasets.

The airfoil on modern fighters needs large positive moment to maintain longitudinal trim in addition to good aerodynamic and stealth performance. The novel design requirements would increase the likelihood of multimodality in design space. To address this issue, this paper uses parallel niching method to identify the existence and possible sources of multimodality in the aerodynamic and stealth shape optimizations based on a symmetrical airfoil. To isolate the instances of space multimodality, several subproblems are studied by varying the number and range of design variables, as well as positive moment constraints, respectively. The results demonstrate that the occurrences of multimodality in aerodynamic design space are highly related to positive moment constraint and ranges of design variables. Additionally, it’s found that some local minimums in aerodynamic space are very close to that of stealth space, indicating that the there’s not that large conflict between aerodynamic and stealth design under certain circumstances. This discovery may appeal a new approach of aerodynamic/stealth design of aircraft.

Integrating Low Earth Orbit (LEO) satellites with terrestrial network infrastructures to support ubiquitous Internet service coverage has recently received increasing research momentum. One distinct challenge is the frequent topology change caused by the constellation behaviour of LEO satellites. In the context of software defined networking (SDN), the controller function that is originally required to control the conventional data plane fulfilled by terrestrial SDN switches will need to expand its responsibility to cover their counterparts in the space, namely LEO satellites that are used for data forwarding. As such, seamless integration of the fixed control plane on the ground and the mobile data plane fulfilled by constellation LEO satellites will become a distinct challenge. In this paper, we propose the Virtual Data-Plane Addressing (VDPA) Scheme by leveraging IP addresses to represent virtual switches at the fixed space locations which are periodically instantiated by the nested LEO satellites traversing them in a predictable manner. With such a scheme the changing data-plane network topology incurred by LEO satellite constellation can be made completely agnostic to the control plane on the ground, thus enabling a native approach to supporting seamless communication between the two planes. Our testbed-based experiment results prove the technical feasibility of the proposed VDPA-based flow rule manipulation mechanism in terms of data plane performance.

Supplemental material, sj-pdf-1-imr-10.1177_03000605211055624 for Effectiveness of a novel 1% glucose isotonic electrolyte solution for intraoperative fluid therapy in children: a randomized controlled trial by Zheng-Zheng Gao, Fang Wang, Lei Hua, Xiao-Huan Cui, Jie Xu, Wen-Ya Fu and Hui-Zi Chen in Journal of International Medical Research

With music becoming an essential part of daily life, there is an urgent need to develop recommendation systems to assist people targeting better songs with fewer efforts. As the interactions between users and songs naturally construct a complex network, community detection approaches can be applied to reveal users' potential interests on songs by grouping relevant users & songs to the same community. However, as the types of interaction could be heterogeneous, it challenges conventional community detection methods designed originally for homogeneous networks. Although there are existing works on heterogeneous community detection, they are mostly task-driven approaches and not feasible for specific music recommendation. In this paper, we propose a genetic based approach to learn an edge-type usefulness distribution (ETUD) for all edge-types in heterogeneous music networks. ETUD can be regarded as a linear function to project all edges to the same latent space and make them comparable. Therefore a heterogeneous network can be converted to a homogeneous one where those conventional methods are eligible to use. We validate the proposed model on a heterogeneous music network constructed from an online music streaming service. Results show that for conventional methods, ETUD can help to detect communities significantly improving music recommendation accuracy while simultaneously reducing user searching cost.

Taking the hard air refueling device as an object, the momentum distance method is used to model it, and the dynamic system model which can reflect its motion characteristics is obtained. The PID control law design and Simulation of the model are carried out. The simulation results show that the system has strong resistance to the vertical and horizontal coupling. The ground demonstration of automatic docking is completed on the ground test-bed of the boom aerial refueling device, which further verifies the feasibility of the control design and meets the needs of the engineering design.

The launch of the StarLink Project has recently stimulated a new wave of research on integrating Low Earth Orbit (LEO) satellite networks with the terrestrial Internet infrastructure. In this context, one distinct technical challenge to be tackled is the frequent topology change caused by the constellation behaviour of LEO satellites. Frequent change of the peering IP connection between the space and terrestrial Autonomous Systems (ASes) inevitably disrupts the Border Gateway Protocol (BGP) routing stability at the network boundaries which can be further propagated into the internal routing infrastructures within ASes. To tackle this problem, we introduce the Geosynchronous Network Grid Addressing (GNGA) scheme by decoupling IP addresses from physical network elements such as a LEO satellite. Specifically, according to the density of LEO satellites on the orbits, the IP addresses are allocated to a number of stationary "grids" in the sky and dynamically bound to the interfaces of the specific satellites moving into the grids along time. Such a scheme allows static peering connection between a terrestrial BGP speaker and a fixed external BGP (e-BGP) peer in the space, and hence is able to circumvent the exposure of routing disruptions to the legacy terrestrial ASes. This work-in-progress specifically addresses a number of fundamental technical issues pertaining to the design of the GNGA scheme.

In this work, we propose a satellite-aided permissionless consensus protocol for scalable space–terrestrial blockchains. We design its working principle and workflow by taking full advantage of satellites for extensive coverage and ubiquitous connectivity. Based on the proposed protocol, we demonstrate how such a space–terrestrial blockchain grows and evolves through several typical cases in the presence of adversarial nodes, user misbehavior, and transmission outage. Taking proof of work (PoW) as a benchmark, we assess the system security by considering both adversarial miners and possible colluding satellites. Then, we analyze the maximum blockchain throughput under network capacity limits and evaluate the impact of information propagation delay via a Markov model. Simulation results support that the proposed satellite-aided consensus protocol achieves higher throughput and exhibits greater scalability than PoW.

Undoubtedly, in the highly competitive scene between network service providers, the quality of service and application experience of the mobile users are the cornerstones of competitiveness. Thus, to reduce the content access latency for their customers, network service providers or tenants normally provide caching service via edge computing. We postulate that cache sharing among multiple tenants could be a win-win concept since it can increase overall fair allocation of resources. However, cache sharing between tenants need to be carefully designed in order to provide cache allocation policies so that no individual tenant utility is penalized.;AB@We address this challenge by modeling the mobility-aware cache sharing problem as a Nash bargaining game. Based on its solution, we derive a sharing-based collaborative cache allocation scheme that considers both performance and fairness. Insights from simulation results reveal that as the variability between tenants due to congestion episodes increase the benefits of such collaboration schemes becomes more prominent.

Passive thermography method was used to investigate the heat sink efficiency for non-traditional soldered joints. Quality testing of soldered samples was conducted, specifically ones soldered using reactive soldering technique that provides the local heating of surfaces of the joint generated as a result of self-propagating high-temperature synthesis reaction in multilayer nano-foils. It is shown that the poorly soldered or damaged areas of tested joints are adequately visualized as areas of uneven heating when the current passes through the sample. It was revealed that reactive soldering with multilayer nano-foils can be considered the suitable method for mounting light emitting diods onto the printed circuit board

As an indispensable parameter in type 2 fuzzy logic, the similarity measure has a favorable application prospect. In this paper, the research history and status of this index are discussed briefly. Several typical definitions widely concerned by scholars are researched as emphases, including similarity measures of interval type-2 fuzzy sets and those of ordinary type-2 fuzzy sets. Several successful application cases in the fields of pattern recognition, fuzzy clustering, simplification of fuzzy rule base in recent years are listed, and a simulation case of short term power load forecasting is presented to verify the performance of a similarity measure between interval type-2 fuzzy sets. Finally, the deficiency at present and the future development trend are pointed out.

Notwithstanding the significant attention that NetworkFunction Virtualization (NFV) architectures received overthe last few years little attention has been placed in caseswhere proactive caching is considered within a service chain.Caching algorithms have been developed independently fromvirtual network function (VNF) chaining schemes and as weexplain in detail in this paper such operation might lead to suboptimaloverall network and service performance. Since cachingof popular content is envisioned to be one of the key adoptedtechnologies in emerging 5G networks to increase networkefficiency and overall end user perceived quality of service weexplicitly consider the interplay and subsequent optimization ofcaching based VNF service chains. To this end, a mathematicalprogramming framework is proposed tailored to VNF cachingchains and in addition detail a scale-free heuristic algorithm toprovide competitive solutions for large network instances sincethe problem itself can be seen as a variant of the classical NPhardUncapacitated Facility Location (UFL) problem. A wide setof numerical investigations are presented for characterizing theattainable system performance of the proposed schemes.

Empowered by computing at the network edge, data sensed from Internet of Things (IoT) devices can be processed by various IoT applications stored in the nearby cloudlets to reduce the response time between the IoT devices. Together with the recently wide- studied network slicing and Network Function Virtualization (NFV) paradigm, IoT edge computing function can satisfy the individual requirements on the flexibility, security as well as accessibility of the IoT applications. Although the significant research effort made on NFV architectures has received remarkable achievements recently, seldom work has put its emphasis on optimizing IoT edge computing when considering it as a service chain. Since edge computing is regarded to play as a critical role in the context of IoT paradigm to enhance network efficiency, we consider in this paper the dynamic VNF service chain allocating optimization for IoT edge computing. To this end, we detail an Integer Linear Programming (ILP) framework designed to VNF based IoT edge-chains and propose a heuristic scheme to reduce the computation difficulty for large size problems. At last, the attainable system performance of the proposed scheme has been validated by a wide set of investigations.

The ever-increasing demands for risk-free, resource-efficient and environment-friendly air vehicles motivate the development of advanced design methodology. As a particularly promising design methodology considering uncertainties, robust aerodynamic design optimization (RADO) is capable of providing robust and reliable aerodynamic configuration and reducing cost under probable uncertainties in the flight envelop and all life cycle of air vehicle. However, the major challenges including high computational cost with increasing dimensionality of uncertainty and complex RADO procedure hinder the wider application of RADO. In this paper, the complete RADO procedure, i.e., uncertainty modeling, establishment of uncertainty quantification approach as well as robust optimization subject to reliability constraints under uncertainty, is elaborated. Systematic reviews of RADO methodology including uncertainty modeling methods, comprehensive uncertainty quantification approaches, and robust optimization methods are provided. Further, this paper presents a brief survey of the main applications of RADO in the aerodynamic design of transonic flow and natural-laminar-flow, and discusses the application prospects of RADO methodology for air vehicles. The detailed statement of the paper indicates the intention, i.e., to present the state of the art in RADO methodology, to highlight the key techniques and primary challenges in RADO, and to provide the beneficial directions for future researches.

This article has been withdrawn at the request of the editor and publisher. The publisher regrets that an error occurred which led to the premature publication of this paper. This error bears no reflection on the article or its authors. The publisher apologizes to the authors and the readers for this unfortunate error. The full Elsevier Policy on Article Withdrawal can be found at http://www.elsevier.com/locate/withdrawalpolicy .

The explosive growth of mobile data traffic and the envisioned delay sensitive applications in 5G networks ranging from high definition video streaming with strict playout deadlines to multi modal tactile/haptic with kinaesthetic feedback that require some form of edge cloud cache support makes mobility a challenge. In this paper, we propose a Proactive Caching with Delay Guarantees (PCDG) approach to enhance the supporting of seamless mobility within 5G networks that are Information-Centric Networking (ICN)-aware. The proposed scheme is designed to cache contents into a set of potential edge clouds with delay guarantees and to achieve a trade-off among caching, redirection and missing cost. In particular, this approach consider the delay constraints in mobile network, especially the queuing delay in network links and edge clouds, which are modeled as M/M/1 and M/M/c queuing systems respectively. We formulate and linearize this problem as a Mixed Integer Linear Programming (MILP) model and compare the performance with other techniques. The result obtained from simulation reveal that the proposed PCDG scheme lead to a significantly lower total cost and higher satisfied probability albeit higher computational/complexity cost.

Motivated by genome-wide association screening studies (GWAS), we study high-dimensional marginal screenings of categorical variables where test statistics have approximate chi-square distributions. We characterize four new phase transitions in high-dimensional chi-square models, and derive the signal sizes necessary and sufficient for statistical procedures to simultaneously control false discovery (in terms of family-wise error rate or false discovery rate) and missed detection (in terms of family-wise non-discovery rate or false non-discovery rate) in large dimensions. Remarkably, degrees of freedom in the chi-square distributions do not affect the boundaries in all four phase transitions. Several well-known procedures are shown to attain these boundaries. Two new phase transitions are also identified in the Gaussian location model under one-sided alternatives. We then elucidate on the nature of signal sizes in association tests by characterizing its relationship with marginal frequencies, odds ratio, and sample sizes in $2\times2$ contingency tables. This allows us to illustrate an interesting manifestation of the phase transition phenomena in genome-wide association studies (GWAS). We also show, perhaps surprisingly, that given total sample sizes, balanced designs in such association studies rarely deliver optimal power for detecting the effects of rare genetic variants., Comment: 40 pages, 8 figures

For ADS application, both research and commercial facilities requires extremely large amount of RF power to drive several mega watts beam power, so proper RF power upgrade plan can reduce the budget per phase and increase the valuable experience in engineering. CiADS (China initiative Accelerator Drive System) proposes to employ SSPA (Solid State Power Amplifier) as RF power source for flexible configuring and upgrading in the future. In this paper, from an engineering point of view, it is acceptable if proper matching beam current was selected for adopting fixed-coupling input coupler while only sacrificed some RF power during the upgrade plan. SSPA upgrade plan start with the stablility requirement to determine bandwidth, then combined with other RF power requirements to select output level, finally, checking how much the surplus of selected level SSPA for detuning control. The calculation and evaluation results for a §I{545}{MeV} physical design lattice illustrate that some resonance cavities had very limited surplus RF power left for detuning control that provided necessary optimization direction and guidelines for both physical design and SSPA arrangement., Proceedings of the 10th Int. Particle Accelerator Conf., IPAC2019, Melbourne, Australia

UAV tracking is aimed to infer the location of the object from the videos captured by an aerial viewpoint. The challenges mainly focus on fast motion, scale variation and aspect ratio variation. The region proposal in image detection can detect the object candidates in the image, which can be leveraged to find the optimal location of the object. In this paper, a tracking algorithm using Farneback optical flow is proposed to provide object proposals for correlation filter for robust tracking under aerial scenarios. The Farneback flow estimates the motion of the object between adjacent frames and an improved FAST detector is adopted to detect the keypoints that contain the local patterns of the object from the last frame. The object proposal is obtained by computing translations of the keypoints. The final proposal is determined by computing the bounding box that encloses the keypoints. A correlation filter from KCF is used to detect the object on the proposal. The quantitative evaluation results on OTB100 show the advantage of the proposed tracker to state-of-the-art trackers in accuracy, especially under fast motion.

Breakdown on the RF ceramic windows always happen in different kinds of accelerator. It is one of the main limitations in current day superconducting cavities and couplers. The PT signal trip caused by discharge on the surface of RF ceramic window lead LLRF control system trip which affect the stable operation of the superconducting linac. Simulation of field emission electron trajectory in superconducting cavity and experimental measurements of the frequency of the pickup signal trip have been performed. A lot of aged window with characteristics of flashover were studied by means of material characterization. The flashover on the surface of RF ceramic window caused by electrons and field emission provide the origin of initial electrons. A modified design of the pickup antenna have solved the PT pickup trip problem., Proceedings of the 19th International Conference on RF Superconductivity, SRF2019, Dresden, Germany

Aiming at the problem of multi-domain feature selection for underwater target, the feature selection algorithm based on Relief-F and genetic algorithm is proposed. Relief-F algorithm, reduce the search space and speed up the search speed of genetic algorithm. The population initialization of the genetic algorithm is guided by the result of feature sorting. Classification experiments show that the algorithm have a better comprehensive performance, which can get a higher recognition rate with fewer features.

The work develops the multi-dimensional dissipation strategy within advection upstream splitting methods (AUSM) in hypersonic flows based on the affordable shock-stable item by Chen et al. (J. Comput. Phys. 373 (2018) 662-672). This strategy is related to the sear velocity difference and the pressure-based sensing function. It strengthens the robustness of AUSM-family schemes against shock anomalies and meantime preserves shear layer. A series of numerical cases illuminate its potential capability for hypersonic flows, particularly in the extreme situations such as the large aspect ratio of cells, skewed non-orthogonal grid, and unstructured grid.

To explore the geological evolution of the Grove Subglacial Highlands and their relationship with other terranes in the Prince Charles Mountains-Prydz Bay region of East Antarctica, 10 samples of metasedimentary rock were collected from glacial moraines in the Grove Mountains for zircon U–Pb dating and Hf isotopic analysis. Detrital zircon grains from all rocks have oscillatory zoned magmatic cores and diffusely zoned metamorphic rims. U–Pb ages from the cores are mainly concentrated in six populations: 3.4–3.2, 2.8, 2.6–2.3, 2.2–1.8, 1.8–1.5 and 1.5–0.95 Ga. Their initial ɛHf values are −4.1 to +5.5, −12.5 to +4.9, −12.6 to +3.3, −13.0 to +4.7, −14.2 to +11.0, and −20.5 to +10.0, and their corresponding Hf model ages are 3.7–3.2, 3.4–3.1, 3.2–2.6, 2.9–2.1, 2.7–1.7, and 2.4–1.2 Ga, respectively. The maximum depositional ages of ca. 1090–940 Ma were calculated from the youngest detrital zircon cores of each sample. All age populations and Hf isotopic compositions can be found their provenances in the Prince Charles Mountains–Prydz Bay–Eastern Ghats region, indicating a genetic relationship between the two regions. However, we cannot rule out the possibility that the precursor materials of metasedimentary rocks from the Grove Subglacial Highlands were derived from the southern interior of the East Antarctic Shield (e.g., the Gamburtsev Subglacial Mountains and Vostok Subglacial Highlands). The late Mesoproterozoic/early Neoproterozoic (ca. 990–900 Ma) metamorphic event was not identified in our detrital zircon grains, and all metamorphic zircon rims were dated at ca. 560–540 Ma. This suggests that the collision suture of the late Neoproterozoic/Cambrian Prydz Belt should lie to the south of the Grove Subglacial Highlands.

In order to model imprecise information better, more and more scholars use type-2 fuzzy sets, among which interval type-2 fuzzy sets have practical application value, the reasons lie in that their secondary grades are all 1 and there are some fast algorithms for their operations. Inclusion measure and entropy are considered as two basilic parameters in fuzzy set theory because of their versatility, and those of interval type-2 fuzzy sets have become research hotspots nowadays. This paper mainly studies the relationship between the inclusion measure and entropy of interval type-2 fuzzy sets presented by Zheng et al., proposes and proves a transformation theorem that the former can be converted to the latter within the constraints of their axiomatic definitions. The result offers a reference for the theoretical research and practical application in the future.

As tools for dealing with universal fuzziness in human thinking, traditional fuzzy sets, namely type-1 fuzzy sets, are not able to directly model uncertainties about membership functions, however type-2 fuzzy sets can make up for this deficiency. Interval type-2 fuzzy sets, the simplified cases of general type-2 fuzzy sets, are practical because its membership functions and operations are greatly simplified. The inclusion measure and entropy of fuzzy sets are two important parameters with application prospects, the former describes the degree to which a fuzzy set is included in another, the latter shows the quantity of fuzzy information in a fuzzy set. It is important to make in-depth research on the two measures. In this paper, we mainly discuss the relationship of the inclusion measure and entropy of interval type-2 fuzzy sets proposed by Zheng et al., and present a theorem that converts the entropy to the inclusion measure of interval type-2 fuzzy sets. The conclusion provides the basis for further research.

In emergency medical services, the lag time between injury and treatment is one of the most critical parameters with respect to patient survivability. Ambulance services aim to maximize the likelihood of prompt medical treatment to prevent death and/or potential non-reversible damages. The emerging Tactile Internet has a vital role to play on that frontier by allowing next generation of ambulances to be equipped with advanced haptic/tactile devices to allow pre-hospital treatment/diagnosis or even remote surgery while en route. In this paper we propose a novel reliable multi-modal e- health high mobility service optimization framework for ambulances utilizing mobile edge clouds to efficiently transport real time patient information to the hospital. The main challenge of the proposed e- health service is to guarantee the heterogeneous QoS requirements of all involved data flows between the ambulance and the medical personnel. To this end, we formulate the service configuration problem as an optimization problem. In addition, a set of low- complexity algorithms are proposed to provide competitive solutions in real-time. A comprehensive set of numerical investigations are presented to characterize the attainable system performance of the proposed schemes.

Tuner system is the indispensable part of ADS high current proton superconducting linac. It influences the working frequency of superconducting cavity of particle accelerator. To completely understand the working situa-tion of the tuner system and analyses the problems existing in it, experiments of linear part were fully conducted., Proceedings of the 29\textsuperscript{th} Linear Accelerator Conf., LINAC2018, Beijing, China

Superconducting RF (SRF) technology is widely ap-plied in particle accelerators to shorten the accelerator length and lower the construction price due to its high acceleration gradients with low rf losses. Field emission is the chief limitation associated with the surface electric field which will finally determine the cavity performance during the operation. The pickup-drop signal caused by field emission seriously affect the stable operation of the superconducting linac in the Chinese initiative Accelera-tor-Driven Sub-critical System (CiADS) demon facility. Simulations of the field emission effect and experimental measurements of the pickup-drop signal have been per-formed on the half wavelength resonator (HWR) cavity. And a modified design of the pickup antenna will be discussed to solve the pickup-drop problem., Proceedings of the 29\textsuperscript{th} Linear Accelerator Conf., LINAC2018, Beijing, China

The pulsed high power test and beam test of the China Material Irradiation Facility RFQ have been implemented. Before this, the radio frequency measurements and tuning are performed. In this paper, the processes and results of the radio frequency measurements, tuning, pulsed high power test and beam test will be presented. The results of tests are in good agreement with the design., Proceedings of the 29\textsuperscript{th} Linear Accelerator Conf., LINAC2018, Beijing, China

The Chinese ADS Front-end Demo Linac (FDL) is constructed to demonstrate the technology of superconducting linac with high proton beam loading of CW 10mA. The low-level RF (LLRF) control system for the ADS FDL is developed by IMP, and the cooperation with TRIUMF. In the normal conducting (NC) section, the normal RF feedback control loop is used. In order to stable the superconducting (SC) cavity with loaded high RF power, the self excited loop with phase locked mode was used on the SC linac. This paper introduces the LLRF control system for buncher, SC linac, and the structures of hardware and the functions of software of these LLRF systems. The operating status of the LLRF systems is also reported., Proceedings of the 9th Int. Particle Accelerator Conf., IPAC2018, Vancouver, BC, Canada

The geometric shape is not directly manipulated by free-form deformation (FFD) technique. A high level FFD control volume is always adopted in the refined aerodynamic design. The direct manipulated free-form deformation (DFFD) technique is developed in this paper to improve the shortcomings of the FFD technique. This method adopt a parameter identification technique which can identify the disturbance quantities and convert them into displacement values on the FFD control lattices. The DFFD technique can accomplish refined aerodynamic shape design using less design variables. The visual impression is much better than the traditional FFD technology, and the number of the design variables is not increased with using of the high level FFD control volume. The robust design system is established by DFFD technique, multi-groups collaboration particle swarm optimization (MCPSO) and adaptive sampling algorithm, combined with quaternion mesh deforming technique and the numerical simulation of boundary layer transition based on γ - Re θt transition model. A transonic laminar wing body is optimized by this system. The design results show that not only a wide range of laminar flow area is maintained, but also the development of shock is controlled.

The aerodynamic characteristics of elliptic airfoil are quite different from the case of conventional airfoil for Reynolds number varying from about 10 4 to 10 6 . In order to reveal the fundamental mechanism, the unsteady flow around a stationary two-dimensional elliptic airfoil with 16% relative thickness has been simulated using unsteady Reynolds-averaged Navier–Stokes equations and the γ - Re θ t ‾ transition turbulence model at different angles of attack for flow Reynolds number of 5 × 10 5 . The aerodynamic coefficients and the pressure distribution obtained by computation are in good agreement with experimental data, which indicates that the numerical method works well. Through this study, the mechanism of the unconventional aerodynamic characteristics of airfoil is analyzed and discussed based on the computational predictions coupled with the wind tunnel results. It is considered that the boundary layer transition at the leading edge and the unsteady flow separation vortices at the trailing edge are the causes of the case. Furthermore, a valuable insight into the physics of how the flow behavior affects the elliptic airfoil’s aerodynamics is provided.

The inclusion measure is an important index of fuzzy logic because of its wide application. This paper aims to put forward a new fuzzy inclusion measure. Based on the previous related research results, an axiomatic definition with three axioms is first chosen for the purpose of making the fuzzy inclusion measure in the true spirit of fuzzy logic. A calculation formula is built under the constraints of the chosen definition, that is to say that the calculation formula is consistent with the three axioms. Two properties are discussed. Finally, two examples are used to verify the rationality of the new inclusion measure between fuzzy sets.