nils-herrmann/clean_scirepeval huggingface dataset:
Multimodal medical volumetric image fusion based on multi-feature in 3-D shearlet transform

Multimodal medical volumetric image fusion (MVIF) plays an important role in medical image processing. This paper presents a novel MVIF method based on multifeature obtained by a multiscale geometric analysis of the threedimensional shearlet transform (3DST) with contextual hidden Markov model (CHMM) and type-2 fuzzy logic techniques. First, the preregistered medical volumetric images are decomposed into low frequency parts and high frequency parts by using the 3DST. Next, a choose-max fusion rule with the local energy is performed on the low frequency subbands. Moreover, an effective multi-feature based fusion rule is proposed for integrating the high frequency subbands. The proposed multifeature consisting of the CHMM statistical characteristics, type-2 fuzzy entropy, gradient and energy of high frequency coefficient is more accurate in representing the source image than single feature, which is favorable to improve the quality of fusion result. Finally, the fused image is obtained by the inverse 3DST with all composite subbands. Experiments on medical volumetric images show that better fusion results can be obtained by the proposed method.
The different variable structure control strategy applied in power system load frequency control

For single area power system, a variable structure load frequency controller based on constant reaching law is proposed. Firstly, the original system is converted into standard type through the elementary transformation matrix, and the switching surface is designed based on the standard type, at the same time, the switching function is selected properly by using the pole assignment method which assure the sliding mode is stable. Secondly, the sliding mode controller is designed by using the constant reaching law, which can assure the hitting condition is satisfied. Finally, the power system model is used by simulation considering the ideal working condition and with generation rate constraint. The simulation results illustrate the effectiveness and robust of the designed controller.
Atomic force microscope observation on CHO cell membrane after Electromagnetic pulses irradiation

Atomic force microscope (AFM) has been used to visualize the morphological change on the surface of CHO cell membrane before and after Electromagnetic pulses (EMP)irradiation. The results showed that there were different sizes and shapes of membrane perforate (the width is 0.66-0.39 um, the depth is 392.95 nm) after 400 kV/m 200 pulses EMP irradiation. The numbers of cell membrane perforates were decreased with EMP field intensity and the pulses numbers decreasing. It is suggested that EMP irradiation can cause the membrane perforate of CHO cell directly. The numbers of cell membrane perforates were increased with EMP field intensity and the pulses numbers increasing. EMP induced membrane perforate may play a very important role in EMP bio-effects.
Joint multiuser detection and beamforming with power control in synchronous CDMA system

Power control, beamforming and multiuser detection (MUD) can suppress interference in CDMA systems. In this paper by exploiting characteristic of beamforming and MUD, we propose a new decorrelating multiuser detection algorithm from beamforming gain and correlating matrix. For computation complexity, we further propose an algorithm of decorrelating MUD on clustered users. While beamforming can cancel out most of the interference from users out of cluster, MUD for clustered users can suppress the remaining interference. This algorithm can cancel out most of the MAI and at the same time need much less computation. Simulation results show the improvement brought by this algorithm
A Distributed Management System with High Concurrency

The rapid development of computer network has greatly popularized online education, and the size of courseware is getting bigger. How to manage those resources is an urgent problem to be solved. This paper establishes a distributed courseware resource management system with P2P and CDN transmitting technology, providing highly concurrent VOD and distribution for numerous video courseware data, to meet the requirements of rising number of VOD users for online courseware. The system, like a huge memory, gives unified management for all courseware, and provides simple access interface. Meanwhile, the system provides management of users, authority, category and log, as well as searching, the administrator and students can look up the existing teaching scene and other references whenever and wherever possible.
Blind spot coverage strategy based on D2D communications for electric LTE network

With the development of smart of grid, the traditional wireless communication cannot meet the new service requirement. In this paper, we propose a blind spots coverage based on D2D communication scheme to solve the problems of blind spots coverage and service access imbalance for power LTE private network. Meanwhile, we analyze the application of D2D communication technology based on LTE in power grid. In addition, we introduce the type of power LTE private network, discuss the mode of D2D communication in different scenarios between intra-frequency network and differ-frequency network, and explore the typical application scenarios of D2D technology in power grid. We also find that there still remains several open issues in application of D2D technology for the electric power industry.
Knowledge dynamics and organizational learning in enterprise's technology evolution

There are different types of models for organizational learning (OL) varying from simple to complex, and linear to nonlinear. It is generally accepted that both radical and incremental learning types can enhance survival and prosperity under some condition, but also can hurt organizations in other conditions. Therefore the significance does exist in the matching of OL modes with the conditions. Specifically, based on the authors' previous work five OL modes can be identified: adaptive learning, maintenance learning, developmental learning, transitional learning and creative learning. Furthermore, they propose in this paper, that if they pay attention to OL through the whole innovation cycle, three OL layers can be observed. They are infra-structural learning, operational learning and strategic learning.
Disruptive innovation in developing countries: the case of China

This paper tries to explore the opportunities for disruptive innovators and their strategy in developing countries. A multi-case research methodology is adopted in this study involving Personal Handyphone System and Digital Video Recorder market in China. In each case we briefly introduce features of disruptive technologies and use value innovation perspective to analyze the opportunities and explain domestic firms' success. The result suggests that huge low-end market and demands on specific functions that differ from the mainstream market offer fertile ground for disruptive technologies. We address the essential role of appropriate value position in make use of these chances. The research also shows that complementary asset can effectively facilitate the development and commercialization of disruptive technologies.
Experimental and Numerical Investigations on Microwave Absorption by the Cold Collisional Capacity-Coupled-Plasma

The absorption of electromagnetic (EM) wave in the cold collisional capacity-coupled-plasma (CCP) is studied in this paper. First, the time-dependent fluid model is used to gain the spatial variation of electron number density when discharge tends to be in steady state in CCP. The pure argon gaseous electronics conference cell reactor type is used in the model where the diameter is 4 cm, the interelectrode distance is 2.5 cm, the operating frequency is 13.56 MHz, the gas pressure is 1-2 torr, and the applied voltage is 500-1500 V. Second, EM attenuation of 7-12 GHz is studied theoretically for CCP using the plasma parameter obtained from the first step. When the EM wave passes through the plasma, the transmission attenuation is -4.5 dB at 7 GHz, which deduces while EM frequency raises. In addition, the transmission attenuation increases with the applied voltage and gas pressure, respectively. Finally, microwave measurement system is used to measure the transmission attenuation of CCP in anechoic chamber. This paper shows that the theoretical and experimental results have a good agreement on the transmission attenuation.
Shape Model's Alignment Algorithm with Global Shear Transformation

ASM (Active Shape Model) and AAM (Active Appearance Model) model are both parametric model based on statistics. We can locate the key points of a face by AAM model accurately. There is a shape model both in the ASM and AAM. When we build the ASM model and AAM model, we must align the shapes of the training set to a unified framework. In the original alignment process, there are only scale, rotation and translation transformation. In order to improve the accuracy of the alignment, we propose a new algorithm with shear transformation besides the original geometric transformations. At last, the experimental results indicate that the new algorithm is effective for the alignment of the shape model.
A particle swarm algorithm based routing recovery method for mobile sink wireless sensor networks

This paper presents the routing recovery problem of mobile sink wireless sensor networks (mWSNs), which is caused by the sink mobility. We propose an immune orthogonal learning particle swarm optimization algorithm (IOLPSOA) based routing recovery method to build and optimize the alternative path, in order to repair the broken path and maintain the available route from the source nodes to the mobile sink through a multi-hop network. The IOLPSOA can improve the method with faster global convergence and higher solution quality, which can provide more efficient routing recovery capability to mWSNs. We have evaluated the performance of routing recovery method through both mathematical analysis and simulation experiments. The results show that our method effectively supports sink mobility with low energy consumption, communication overhead, and the improvement of routing recovery problem.
Leapfrogging ways of manufacturing industry in China driving by IT

In the context of globalization, China is becoming one of the most important area to bear international manufacturing transfer. With the rapid development of IT, the impact of IT to manufacturing gets more and more prominent. This article, by referring to some data about industries development all over the country, and based on relevant theories of leapfrogging and application of IT, investigates several enterprises in Zhejiang province which succeed in leapfrogging by using IT. Ways analysis from the perspective of industry of the theme selection serves as the beginning of the article. Then after an overall analysis of leapfrogging the article elaborates the different effect of IT on the up-stream, middle-stream, down-stream of the industrial chain. After that, the author, turning to the perspective of enterprises concerning literature and some experts' result, deduces the changing ways of Chinese enterprises. At last the article make a conclusion of the mechanism of leapfrogging ways of manufacturing industry in China driving by IT.
Reliability analysis of PMS with disconnected mission phases

Traditional phased mission system (PMS) requires that mission phases are connected one after another. However, there is a kind of PMS with mission phases that are not connected consecutively because of idle phase existing among them. Component repair can occur in idle phase, but there is no mission requirement in such phase. This is a new kind of PMS that has not been investigated thoroughly in literature. In this paper, mission reliability is defined as the probability that the system successfully complete missions in all phases except in idle phases. By define absorbing states as the failure states corresponding to the systems mission failure, a continuous time Markov chain (CTMC) models are built for each mission phase. The transition probabilities of system states are obtained by solving CTMC models. Based on these probabilities, mission reliability can be calculated for such kind of PMS. Finally, a numerical example is provided to show the effectiveness of the proposed approach.
The progress of research on prediction model for acute hypotensive episodes

The occurrence of acute hypotensive episode (AHE) in intensive care units (ICU) can result in grave consequences and endanger the patients' lives. How to detect and predict AHE in advance has become a clinical problem which is highly paid attention to by the medical world. In recent years, with the rapid development of the medical monitoring technology and signal analysis and processing methods, promoting a comprehensive study of forecasting approaches for AHE, the study mainly focuses on two aspects: one is the research of the vital signs that is likely related to the occurrence of AHE, showing that arterial blood pressure, heart rate and oxygen saturation, etc. can be acted as effective indicators; the other is to study the trend of changes in these vital signs, which would achieve forecasting AHE up to an hour in advance by defining a certain forecast window and the diagnostic threshold. It illustrates that integration of digitized signal processing technique with clinical monitoring parameters is the development direction for realizing intelligent monitoring technology. On the basis of continuing to enrich the database for monitoring, person concerned are committed to recognize the onset regularity of AHE, looking for approach that might forecast AHE ahead of time and designing intelligent forecast software. The study of this approach is beneficial to early prediction of AHE and intervention, which would significantly reduce the death risk of patients and is of great value to clinical application.
Space-time processing for increased capacity of wireless CDMA

Spatial and temporal processing are combined to increase the capacity of CDMA-based wireless communications systems. Degrees of freedom provided by space-time processing are exploited to combat both fading and co-channel interference (the near-far effect). The following methods are formulated and studied: (1) space-time diversity, (2) cascade optimum spatial-diversity (RAKE) temporal, (3) cascade optimum spatial-optimum temporal, and (4) joint domain optimum processing. It is shown that, due to its interference cancellation capability, optimum combining provides significantly better performance than diversity processing. In particular, in a typical CDMA scenario with two antennas, the joint domain optimum combining system provides at least a 30% increase in capacity over diversity processing. Optimum combining may also be applied to compensate for imperfect power control of the signals received at the base station.
Comparison and improvement of association rule mining algorithm

In recent years, the data mining technology has been developed rapidly. New efficient algorithms are emerging. Association data mining plays an important role in data mining, and the frequent item sets are the highest and the most costly. This paper is based on the association rules data mining technology. The advantages and disadvantages of Apriori algorithm and FP-growth algorithm are deeply analyzed in the association rules, and a new algorithm is proposed, finally, the performance of the algorithm is compared with the experimental results. It provides a reference for the extension and improvement of the algorithm of association rule mining.
Further results on stabilization for a class of stochastic high-order nonlinear systems with unknown control directions

This paper concerns the global stabilization for a class of stochastic high-order nonlinear systems which admit more general system form than those in the existing works. For details, except for the serious system nonlinearities which show that the considered system is the general of the strict-feedback systems, the most distinct feature of the systems is exhibited by the unknown control directions, that is, all the control coefficients of the virtual and actual control have unknown signs. By skillfully employing the Nussbaum function, and applying the method of adding a power integrator, an effective regulation control scheme is successfully provided for the considered systems. In particular, the presented controller can guarantee that all the closed-loop system states are bounded, and especially the original system states converge to the origin, both in the sense of probability one.
Efficient Near-Duplicate Keyframe Retrieval with Visual Language Models

Near-duplicate keyframe retrieval is a critical task for video similarity measure, video threading and tracking. In this paper, instead of using expensive point-to-point matching on keypoints, we investigate the visual language models built on visual keywords to speed up the near-duplicate keyframe retrieval. The main idea is to estimate a visual language model on visual keywords for each keyframe and compare keyframes by the likelihood of their visual language models. Experiments on a subset of TRECVID-2004 video corpus show that visual language models built on visual keywords demonstrate promising performance for near-duplicate keyframe retrieval, which greatly speed up the retrieval speed although sacrifice a little performance compared to expensive point-to-point matching.
Effects of EMP on bonding ability of insulin and its receptor

To discuss the effects of EMP on bonding ability of insulin and itpsilas receptor.  HL-7702[L-02]GNHu6 cells (5times105 ldr mL-1) were divided into 2 groups: anti-insulin-fluorescent labeling group (including cell-irrad + insulin-irrad group, cell-irrad + normal insulin group, normal cell + insulin-irrad group, normal cell + normal insulin group, total 4 sub-groups) and anti-insulin receptor-fluorescent labeling group (including cell-irrad group, normal cell group, total 2 sub-groups). Some 0.5 mgmiddotmL-1 insulin solution and the groups which need to be irradiated were irradiated by 400 kVmiddotm-1 EMP. After the irradiation, the indirect immuno fluorescent experiment was done, immediately. And then, all the samples were detected by FCM. After EMPpsilas irradiation, the percentage of the L-02 cells which were fluorescent-labelled by FITC on cell membranepsilas insulin receptor increased. After EMPpsilas irradiation, the percentage of the L-02 cells which were fluorescent-labelled by FITC on cell membranepsilas insulin increased than un-irradiated, no matter whether the insulin which was put into the L-02 cells was irradiated or not. Compared with the un-irradiated insulin, no matter the irradiated insulin was put into un-irradiated or irradiated L-02 cells, the percentage of the L-02 cells which were fluorescent-labelled by FITC on cell membranepsilas insulin decreased. CONCLUSION 400 k V ldr m-1 EMP irradiation may probably change insulinpsilas spatial structure, decrease the bonding ability between insulin and its receptor, and show some excitatory effect on L-02 cells.
Notice of RetractionAn Analysis on Influential Factors of Service Economy Development in Zhejiang Province

The service industry in Zhejiang province has experienced great success in total expansion, structural adjustment, as well as the improvement of economic benefit and absorption of labor force, since the reform and opening up. Analyzing the status and influential factors of the service industry in Zhejiang, proposing solutions to accelerating its development, has great practical significance on promoting industry structure upgrading and keeping the national economy developing in a rapid and sound way. Within this study, we scrutinize the status of service industry in 69 cities and counties in Zhejiang province and analyzed the major influential factors by statistic analysis. Finally developing strategy of service industry in Zhejiang province was proposed based on the research conclusion.
Stark effect induced microcavity polariton solitons

This paper proposes a way of generating polariton solitons (PSs) in semiconductor microcavity using Stark effect as the trigger mechanism. A Stark pulse performing as the writing beam is used to excite non-resonant fluctuations of polariton, which finally evolves into bright PSs. It is found that polarization of the generated PS is independent on the writing beam, and a branch of PS solutions versus pump parameters could be found through optimizing parameters of the Stark pulse, while the polarization of PS depends greatly on the writing beam when coherent excitation method is used.
Multi-type products collaborative vehicle routing problem under consideration of transshipment

Facing the increasing pressure in road transportation, small and medium-sized carriers are trying to establish horizontal coalition to reduce operational costs and improve their profitability. In this paper, the multi-type products Collaborative Vehicle Routing Problem with Transshipment (CoVRPT) is proposed. A mixed-integer linear programming model for this problem is established. The result of this problem is compared with that of multi-type products vehicle routing problem without collaboration and multi-type products CoVRP without transshipment. Numerical studies suggest that proposed method is more effective in terms of transportation cost-saving.
Anti-bunching from plasmon induced non-blinking single CdSe/ZnS quantum dot

CdSe/ZnS colloidal quantum dot generally exists blinking phenomenon during luminescence process, that remarkably influences its application as a single photon source. In this work, we used the effect of surface plasmon to effectively suppressed the blinking by locating quantum dot on gold film. The anti-bunching character was also observed with g(2)(0) as low as 0.34 at room temperature. Surface plasmon was shown to enhance the photoluminescence and reduce the lifetime of exciton, which was controlled by excitation power. Our result suggests a potential way to utilize CdSe/ZnS as a high efficient single photon emitter in optics.
Chinese traditional Visual Cultural Symbols recognition based on SPM muti-feature extraction

Globalization is a historic chance for China development. Moreover, Chinese traditional Visual Cultural Symbols (VCS) is a great tag of China. Image is a carrier of VCS. With the help of machine learning, we can recognize these VCS among numerous images very well. In this paper we propose combining with several features such as SIFT, HOG, RGB, LBP to describe an image and coding these features into higher dimensional vectors. Next, the coded vectors are pooled together. Besides, we also make full use of Bag-of-Words (BOW) and Spatial Pyramid Matching (SPM) theory in order to obtain a more ideal recognition. Experiments show that it's really a feasible approach.
Game analyses of government and project company in BOT scheme

A proper concession term is the key to success in the contractual negotiation for BOT scheme. This paper introduces a profitable operational period, and set up an game model between the government and the project company, in order to analysis the interrelations between the optimal strategies of the government and the optimal strategy of the project company in BOT schemes. By employing game theory, their optimal strategies are brought forward respectively. The results can provide the government and the project company with a decision-making support in BOT scheme.