nils-herrmann/clean_scirepeval huggingface dataset:
The study of entrepreneurial quality education in China's Universities and colleges

Developing entrepreneurial quality education and Cultivating the university students' entrepreneurship and innovative ability, is to meet the trend of China's higher education reform which focuses on developing the quality education for cultivating the compound, innovative and applied oriented talents. China's higher educational circles now have formed the consensus that is urgent to strengthen the university students' entrepreneurial quality education. Through developing higher entrepreneurial quality education, we can stimulate the internal driving force of knowledge innovation in universities and society, so as to enhance the knowledge factors' contribution and intellectual capital thickness in economic growth. By this way, the economic system can form the mechanism for reproducing the jobs automatically and realizing the blowout growth of knowledge intensive jobs. This paper is to explore the goal, characters, and development status of China's higher entrepreneurial quality education, and study how to develop the entrepreneurial-oriented knowledge economy.
Study of electromagnetic impact on buried metallic pipelines due to lightning strike on UHV AC double-circuit tower

The lightning strike on transmission lines could have electromagnetic effects on the adjacent buried metallic pipelines. The resistance coupling in pipelines is the severest, because the most high-energy lightning current is directly injected into the earth by ground conductor of fault tower when lightning strike happens. Thus for 1000 kV UHV AC double-circuit transmission lines, the paper studies the electromagnetic coupling in the adjacent buried metallic pipelines when the top of tower is subject to lightning strike and results in failure. By the establishment of simplified calculation model for the transient electromagnetic field of lightning, the effects of various factors, such as the distance between transmission lines and pipelines, crossing angle, soil resistivity, and the amplitude of lightning current, on interference voltage imposed onto pipelines and their rules are calculated and analyzed.
Comparative genetic pathway analysis using structural equation Modeling

In this work, we propose a novel genetic pathway discovery and comparison analysis framework integrating newly generated gene expression microarray data and existing biological pathway information. Starting with the significance analysis of microarray (SAM), a list of differentially expressed genes among groups is obtained. This gene list is then imported to the Ingenuity Pathway Analysis (IPA) to yield potentially relevant biological pathways. Finally, a newly-developed covariate structural equation modeling method is applied to evaluate gene-gene interactions and group difference. We illustrate this novel comparative pathway analysis pipeline using the whole human genome expression profiling data collected from a study of inflammatory bowel diseases (IBD) with 99 subjects from three phenotypic groups: ileal Crohn's disease (CD), ulcerative colitis (UC) and control non-IBD.
Static Hand Gesture Recognition Based on HOG with Kinect

In this paper, we propose and implement a novel method for recognition static hand gestures using depth data from Kinect sensor of Microsoft. Compared to the entire human body, the hand is a smaller object with more complex articulations and more easily affected by segmentation errors. So it is a very challenging problem to recognize hand gestures. Our approach involves choosing HOG feature with both geometric moment invariant features and adapted to the light transform by analyzing the features of hands characteristics. Through the rapid cascade Adaboost training algorithm obtains the training models of gestures and matches them, thus build the accuracy and efficiency hand gesture recognition system using the Kinect sensor.
An improved algorithm for Dempster-Shafer theory of evidence

The computational complexity of reasoning within the Dempster-Shafer theory of evidence is one of the major points of criticism this formalism has to face. Various approximation algorithms have been suggested that aim at overcoming this difficulty. This paper presents an improved practical algorithm through reducing the number of focal elements in the belief function involved. In this proposed algorithm, all focal elements of every piece of evidence are classified into dereliction and remainder, and the basic probability assignments of those derelictions are reassigned to the remainders when they are correlative or the dereliction is nested to the remainder. Furthermore, the effect of the dereliction is considered well to influence the combination in this paper, and the computation and accuracy is taken into account to develop this proposed algorithm. Finally, an illustrative example shows that the improved practical algorithm is effective and feasible through comparing with other approximations.
An immune genetic model in rule-based state action IDS

From the 1999 DARPA's testing results, it is found that one of the most significant drawbacks of intrusion detection systems (IDS) is the low recognizing ratio of new attacks. As rule-base IDS can gain good detecting performance, we build a genetic immune model, which is adaptive to rule-based IDS, to improve the IDS's detecting performance of new attacks. As one successful method, state transition (ST) analysis models penetrations as a series of state changes that lead from initial state to a target compromised state. Using this model of recomposing the ST method to solve the low recognizing ratio problem is presented in this paper. In this model, ST method can be expressed in a double DNA chains pattern. One chain is the system state chain; the other is an action chain. The double twisting chains form a state-action sequence to represent the system state transitions. In order to still gain the recognizing performance of the regular ID systems, we use STAT rules to create the initial non-self (or expert) DNA library, and newly found attacking-rules can still be added to the library. A simple host-based test is also performed to prove the effectiveness of this model.
Notice of Retraction Fully play the advantages of educational technology to support individualized education for hearing-impaired students

For a long time, It has become a common phenomenon to use educational technology to support and enhance teaching efficiency, develop student's personality and help them to form broad interesting in general schools. With the implementation of quality-oriented education in general schools, special education should keep pace with general education, we must change our concepts of special education, reform the teaching models which can not meet quality-oriented education, improve the quality of special education effectively. In this paper, the author will introduce individualized education and support ideas, combing with hearing-impaired children's psychological characteristics, personality traits and learning ability, from the three aspects of multimedia technology, mobile learning technology and virtual learning communities to explore fully playing the advantages of educational technology to support hearing impaired students' individualized education.
Intelligent image retrieval of visual cultural symbols

The retrieval of visual cultural symbols is an important research field of inheriting and carrying forward Chinese traditional culture in digital way. Generally visual cultural symbols are foregrounds of natural images, so using shape features in image retrieval that needs image segmentation in advance has great advantages. At present, image segmentation is mostly interactive, which is quite subjective, and it also takes a tremendous amount of work to process a large number of images. Therefore this paper proposed an intelligent image retrieval that combined the saliency region segmentation algorithm based on K-means clustering with the improved shape context. It showed good retrieval results on both property and efficiency.
Fuzzy kernel discriminant analysis (FKDA) and its application to face recognition

A fuzzy kernel diccriminant analysis algorithm (FKDA) is proposed in this paper, which is the kernel version of the fuzzy fisherface method. First, KPCA is performed on the training data. Then fuzzy k-nearest neighbor (FKNN) is introduced to find the mean vectors of each class. Fuzzy scatter matrices are derived for fuzzy LDA in the kernel space. The results of experiments conducted on ORL database show that the proposed method is better than fuzzy fisherface method in terms of accurate recognition rate.
Technological regime, fdi spillovers and technological marginalization - empirical study of Chinese manufacturing industries

As one factor of industrial environment, technological regime influences innovative activities of both foreign and domestic enterprises, and further influences technological spillovers from foreign enterprises to domestic enterprises. By analyzing panel data of 28 Chinese manufacturing industries, we come to the conclusion that, from view of host countries, two aspects of technological regime—local enterprises' technological capabilities and accessibility of external knowledge flows—are two key factors influencing FDI spillovers; fluidity of technological trajectory also affects FDI spillovers, but its influence is very small; other aspects like technological opportunities, appropriability of innovations and properties of the knowledge base constitute little obvious impact to FDI spillovers statistically. With more FDI companies pouring into China, Chinese enterprises are confronted with threat of technological marginalization due to lack of own core technologies. Therefore, how to keep away from technological marginalization threat is the strategic issue related to sustainable development of Chinese international competitiveness.
Experimental study on low NOx emission using blast furnace gas reburning and industrial application in stoker boiler

In order to get some useful information on reforming one stoker boiler with the capacity of 75t/h by using gas reburning technology, the effect of some key factors such as stoichiometric coefficient, residence time, reburning temperature and reburning gas - coal heat ratio on NOx emission characteristics was studied in a one-dimensional experimental system. The results showed that the longer residence time of flue gas in reburning zone of furnace will get lower NOx emission, there exists an optimum residence time of flue gas in reburning zone, the optimum residence time is around 0.8s. There also exists an optimum stoichiometric ratio of air in reburning zone of furnace, the value of that is around 1.0. The removing rate of NOx increases with both increasing feeding rate of reburning gas and increasing reburning temperature. The gas reburning technology has been successfully used during reforming an stoker boiler with the capacity of 75t/h, the NOx removing efficiency was over than 50%.
Numerical Simulation of Pitot Solid Fuel Ramjets

Cold flowfield of pitot SFRJ with three different nozzle throat diameters were simulated at M4.03 and M3.0 by FLUENT software. The flowfield characteristics and engine performances were obtained and analyzed. The results indicate that pressure data obtained by simulation have an overall agreement with those got by experiment. Pitot inlet at design or ideal mode operates with a tiny subcritical position, instead of critical or supercritical position. With the increase of nozzle diameter, nozzle exit total pressure recovery increases and drag coefficient decreases. Compared with the operation at M4.03, SFRJs at M3.0 have lower mass capture ratio, higher nozzle exit total pressure recovery and higher drag coefficient.  pitot inlet; numerical simulation
A RC reconstruction filter for a 16-bit audio delta-sigma DAC

To build a 16-bit audio delta-sigma (Δ-Σ) digital-to-analog converter (DAC), a low noise reconstruction filter has been presented in this paper. By using the direct charge transfer (DCT) technique, the low noise and small area is implemented. In addition, a fully differential operational amplifier (op-amp) with proposed switch capacitor (SC) common mode feed back (CMFB) circuit is employed for low-noise design in this system. The proposed reconstruction filter is designed in TSMC 0.35μm CMOS process. And a peak signal-to-noise density ratio (SNDR) of 95.3 dB and a dynamic range (DR) of 97.2 dB for a 5k Hz input signal is achieved at a 1.8V supply voltage.
Selected mapping and partial transmit sequence schemes to reduce PAPR in OFDM systems

Orthogonal Frequency Division Multiplexing (OFDM) has been currently under intense research for broadband wireless transmission due to its robustness against multi-path fading. However, OFDM signals are characterized by large peak-to-average power ratios (PAPR), which can reduce the system efficiency. To overcome this problem, in this paper, based on the definition of the PAPR in OFDM systems, we will mainly investigate the PAPR reduction performance with two different PAPR reduction methods: the selective mapping (SLM) and partial transmit sequence (PTS). A comprehensive analysis and comparison are conducted in terms of all possible influencing factors and PAPR reduction performance, respectively. Some research findings are obtained based on the simulation results. The results verify that PTS method provides a better PAPR reduction performance compared to SLM method and the probability of high PAPR with increasing the number of sub-blocks in PTS technique decreases obviously, compared to the original OFDM signal. In addition, SLM algorithm is more suitable if the system can tolerate more redundant information; otherwise, PTS algorithm is more acceptable when complexity becomes the first considering factor.
Study on water resources allocation and planning in circular economy pilot zones

To ensure the water supply security and ecological security in Qaidam national circular economy pilot zones and to take a new development path of circular economy in Qinghai province, according to the new situation and new problems during the rapid development in Qaidam Basin, the amount, quality, distribution, the exploit situation and water supply demands of water resources in Qaidam Basin is figured out, the optimal allocation model of water resources in Qaidam circular economy pilot is constructed, and corresponding computer software is developed. The analysis results of water resources supply and demand under different scenarios, different combinations of programs, and different years can be shown by this model. All these will provide important decision for the coordinated and sustainable development and the construction of water supply security system for Qaidam national circular economy pilot zones of Qinghai Province, China.
Effects of Magnetic Treatment on Leaching Releasing of Heavy Metals Element in Fly Ash from CFB

The effect of the intensity of magnetic field on the chemical activity and characteristics of heavy metals Pb and Cr in power plant fly ash from circulating fluidized bed boiler (CFBFA) was studied through the project of Tessier's successive chemical extraction and successive leaching, according to the general regulation of the influence of magnetic treatment on water and minerals.The results show that the intensity of magnetic field has a distinct impact on the releasing amount of heavy metals in power fly ash. With the same leaching medium, the amount of releasing under the magnetic field with the intensity of 0.1 T is more than that with the intensity of 0 T and 0.25 T. Meanwhile, the property and chemical activity of released heavy metals Pb and Cr are studied with the different pH value of leaching medium. The analysis of particles size distribution of power fly ash shows that the particles with smaller size are the majority of total particles, so the trace elements tend to enriching in smaller particles of power fly ash. The degree of enrichment of trace element is closely related to the average particle size of CFBFA.
Fault Prediction of Ship Machinery Based on Gray Neural Network Model

Aimed at the limitation of feedforward and feedback ANN, and the shortcoming that the diagnostic characteristic parameters are considered separately in conventional fault forecast method for machinery equipment, the multivariable gray model, MGM(l,n), and RBF network are introduced into fault prediction, which allows characteristic parameters to be described from the viewpoint of systems. It predicts future characteristic parameters considering the past and current machinery information, then RBF network is used to predict online. The fault prediction example indicates that the model has good prediction precision. It offers an effective method for reliable real-time fault diagnosis.
An Efficient Packet Scheduling Algorithm for IEEE 802.16 BWA System

Channel quality has a great influence on bit error rate (BER) of received signal. The scheme to efficiently ensure four kinds of data services provided by IEEE 802.16 standards is an interesting research issue. In this paper, we propose an adaptive scheduling algorithm cross physical (PHY) layer and MAC layer for IEEE 802.16 BWA system. The Signal to Noise Ratio (SNR) on wireless fading channels determines the modulation and coding (AMC) scheme and the quantity of transmitted packets at the PHY layer. The objective of the AMC coding scheme is maximize packets throughput while maintaining the BER requirement. At the MAC layer, the algorithm scheduling the packets to ensure diverse QoS requirements for multiple connections, e.g., delay for rtPS, throughput for nrtPS, and fairness for BE. To obtain optimal scheduling, we define the cost function for each connection based on channel condition, service status, throughput or deadline. We also verify the analytic results using computer simulation. The simulation results show that our proposed scheduler can provide diverse QoS guarantees, maximum throughput and achieve an optimal tradeoff between throughput and fairness.
A UWB bandpass filter with wide stopband performance using cross-shaped coupled lines

A novel coupling structure is presented for the design of an ultra-wideband (UWB) bandpass filter (BPF) with wide stopband performance. The proposed coupled structure is constructed by modifying the conventional one quarter-wavelength parallel coupled lines into cross-shaped coupled lines (CCLs), which results in size miniaturization as well as wide upper-stopband performance. The CCLs can be properly designed so that the unwanted passband is rejected and the transmission zeros can be assigned toward the harmonic resonances of the triple-mode resonator. By cooperating the proposed CCLs and the triple-mode resonator, a UWB BPF with sharp roll-off and improved out-of-band performance is then constructed. Both simulated and measured results are in good agreement to verify the predicted results.
Compact dual-band bandpass filter with controllable bandwidths

A compact dual-band bandpass filter with controllable bandwidths and good selectivity is presented in this paper. The proposed filter employs two sets of resonators operating at diverse frequencies to generate two passbands. One set of resonators is utilized to not only generate the upper passband but also feed the lower passband resonator, which is a two-mode resonator, as well as realizing source-load coupling for the lower passband. The feed and resonators couplings vary as the operation band changes, thus it could provide sufficient degrees of freedom to control the center frequencies and bandwidth of the two passbands, respectively. Five transmission zeros can be created close to the passband edges, resulting in high skirt selectivity. To validate the design and analysis, a dualband bandpass filter centered at 2.45GHz/5.27GHz for WLAN application is fabricated and measured.
A Possibilistic C-Means Clustering Algorithm Based on Kernel Methods

A novel fuzzy clustering algorithm, called kernel possibilistic c-means model (KPCM), is proposed. KPCM algorithm is based on kernel methods and possibilistic c-means (PCM) algorithm and it is the extension of PCM algorithm. Different from PCM and FCM which are based on Euclidean distance, the proposed model is based on kernel-induced distance by using kernel methods. Furthermore, with kernel methods the input data can be mapped implicitly into a high-dimensional feature space where possibilistic c-means clustering is carried out. FCM, PCM and KPCM are performed numerical experiments on data sets. The experimental results show the better performance of KPCM
Reradiation interference computation model of high voltage transmission line to the shortwave radio direction finding station

Till now there is no mature calculation method to analyze the passive interference of the high voltage transmission line to the radio station nearby. Based on the production mechanism of the reradiation, the paper gives the simplified model of the tower and the transmission line by using equivalent way, which make the simulation for the passive interference to realize .Finally, it verified the model's enough precision by comparing it with the shortwave radio direction finding error experiments data, applicable in designing the protecting distance between the UHV transmission line and the wireless radio station nearby in the future.
Computer Simulations of Hemodynamic Effects of EECP During AEI-CPR

Research on cardiopulmonary resuscitation (CPR) has always been important and thus focused on by the medical community. The hemodynamic effects of CPR have a direct impact on the survival rate of and prognosis for patients. Research shows that performing Enhanced External Counter-Pulsation (EECP) on lower limbs during the recoil phase of chest compression improves hemodynamic effects. AEI- Because EECP is important during AEI-CPR, this paper examines the hemodynamic effects of EECP during AEI-CPR based on basic principles of hemodynamics. First, this paper summarizes relevant works that team collaborators have done. The linear model can be used to quantitatively analyze hemodynamic effects. The paper focuses on the nonlinear mechanism of vascular compliance of the lower limb arteries during CPR, and brings up a solution that fits the simulation of the hemodynamic effects of EECP. Running the new model, simulation results can better match the characteristics of an ascending aortic pressure curve obtained from animal experiments. So it is better than the original one.
An Area-efficient VLSI Implementation of CA-2D-VLC Decoder for AVS

Context-based adaptive 2D-VLC (CA-2D-VLC) is adopted by AVS. In this paper, we present an area-efficient VLSI implementation of CA-2D-VLC decoder. Data compression storage (DCS) method is proposed in memory optimization for VLC tables and a reduction of 30% in on-chip memory cost is achieved. Furthermore, an Exp-Golomb decoder is developed with codeword segmentation decoding (CSD) method, which saves 70% hardware cost compared with the prior work. Synthesized with 0.18 mum CMOS standard-cell library, the overall hardware cost of the proposed CA-2D-VLC decoder is 1540 gates at the clock frequency constraint of 180MHz. With an average throughput of one symbol per cycle, the proposed design is suitable for cost-aware and high-resolution AVS video decoding applications. Though designed for AVS originally, the proposed architecture can be adapted to other coding standards easily.
Research on the Current Situation and Problem of Industry Technology Innovation Strategic Alliance in China

This paper introduces the industry technology innovation alliance's concept and the characteristic, elaborated the enterprise alliance form, the research situation at home and abroad and the industrial technological innovation strategic alliance model, discussed the status of current technology innovation in strategic alliance in domestic industry and the existing problems, and from the government, enterprises, universities and research institutions and alliances on four dimensions of industry technology innovation strategic alliance to train the development of thought and countermeasure.