nils-herrmann/clean_scirepeval huggingface dataset:
Dynamic failure of single-layer spherical reticulated shell with imperfections

The single-layer spherical reticulated shell is the structure which is sensitive to imperfections. The initial imperfections reducing structural stability included initial curvature and residual stress of element and installation deviation of nodes. The stress-strain curve concerning the residual stress was got by model CRC, the influence of initial curvature was got by the half-sinusoid and the programs about them were programmed by ANSYS secondary exploitation. Based on these works, the influences of the three imperfections on dynamic failure of the spherical reticulated shell were got by IDA.
Homogeneous Description for Heterogeneous Cross-Media Resources

Images, polygonal models and point clouds are three kinds of heterogeneous cross-media resources, but they can stand for the same object. We introduce two kinds of homogeneous descriptions for them. First, we find a relation between surface moment invariants and shape distribution since they both use invariant geometric primitives. This relation can provide a way to approximate surface moment invariants for point clouds. Hence, we can get the same shape description for both point clouds and polygonal models. Second, we project each 3D model in many directions and get large numbers of 2D images. Then, polygonal models and images are converted to the same data format for comparison. Homogeneous shape description makes it possible to carry out heterogeneous cross-media retrieval in pervasive environment.
Evaluation on Collector-Distributor Service Network of Comprehensive Passenger Transportation Hub

The pedestrian behaviors in Comprehensive Passenger Transportation Hub (CPTH) were taken as the research object, and Beijing South Railway Station was taken as the study background. The Collector-Distributor processes were classified hierarchically into three levels, and then the several processes were simulated. The Collector-Distributor Service Network (CDSN)'s service ability of CPTH was evaluated dynamically during the rush hours. The bottlenecks of CDSN were found after the simulations, the improvement measures to relieve bottlenecks were proposed, and then the simulations were done again to prove the improvement measures are very efficient by analyzing and comparing
High-Quality and Stable Electron Emission Device With Sub-30-nm Aligned Nanogap Arrays

A high-quality and stable electron device of aligned gold nanogap arrays is demonstrated by using a well-controlled method with electron beam lithography and focused ion beam. Sub-30-nm nanogap arrays could be precisely fabricated with reproducibility. Field emission (FE) properties of the nanogaps are directly measured in the vacuum chamber of scanning electron microscopy with a nanomanipulator. Experimental investigation and calculations are carried out to reveal the transition process from the leakage current to the FE. Importantly, the controllable method could allow us to readily construct varying nanospacings. Besides, we also illustrate the independence of emission current on the vacuum degree over a large range, widening the applied range of the devices. These studies clearly demonstrate that electronic devices with sub-30-nm vacuum channel can be readily achieved by coupling varying nanogaps into nanostructures. It may pave the way for exploring the physics in tunneling transport devices, and therefore enable a new generation of high-performance, high-speed and low-cost electronic devices.
Draining Algorithm for the Maximum Flow Problem

A new augmenting path based algorithm called draining algorithm is proposed for the maximum flow problem in this letter. Unlike other augmenting path based algorithms which augment gradually the flow from zero-flow to the maximum flow, the proposed algorithm drains the redundant capacities out of the network to achieve the maximum flow. Experimental results shown the high efficiency of the proposed algorithm in near saturated network, thought it has a same computational complex with the traditional augmenting path approach for regular flow networks.
ECG Information System based on AHA/ACC/HRS electrocardiography diagnostic statement list

In 2007, the American Heart Association (AHA), the American College of Cardiology (ACC), and the Heart Rhythm Society (HRS) initiated a diagnostic statement list to create a common and easily applied terminology. There may be significant enhancements for ECG Information System with the help of the terminology, such as editing a comprehensive and normalized interpretation, classifying the ECGs automatically while interpreting, and the further using. Nowadays, there is no ECG Information System that could embody the features of the terminology. This paper designs an ECG Information System based on the terminology and presents 4 parts that improve the system: (1) Edit a normative diagnostic interpretation with the terminology. (2) Express the text and coded interpretation in XML format which is helpful for further usage. (3) Statistics of ECGs contributes to perform research with specific ECG classifications. (4) Retrieval is targeted and precise with the terminology, and the comparison is more meaningful. The system in this paper can be further enhanced, but the greatest barrier for the terminology is that it is still new for ECG manufacturers to accept it.
Global Stabilization for a Class of Genuinely Nonlinear Systems With a Time-Varying Power: An Interval Homogeneous Domination Approach

This paper addresses the problem of global state feedback stabilization for a class of genuinely nonlinear systems with a time-varying power. By revamping the so-called adding a power integrator technique and the homogeneous domination approach, a new design method called interval homogeneous domination approach is proposed to delicately design a state feedback control law that renders the nonlinear systems globally asymptotically stable. The novelty of the proposed scheme owes to the systematic fashion that provides a distinct perspective to solve the stabilization problem for the nonlinear systems with a time-varying power.
A Research on Connectivity of Undirected Basic Element Complex Network of Topic-Related Documents

A research on the connectivity of undirected version Basic Element complex network generated from topic-related document set is carried out. Key properties of the network are obtained. The networks are mainly connected except some components involving very small ratio of nodes of the whole network. And the key semantic units do not exist in these small components. The properties will simplify the work if network methods are taken to address some nature language processing tasks.
A dddams-based UAV and UGV team formation approach for surveillance and crowd control

The goal of this paper is to study the team formation of multiple UAVs and UGVs for collaborative surveillance and crowd control under uncertain scenarios (e.g. crowd splitting). A comprehensive and coherent dynamic data driven adaptive multi-scale simulation (DDDAMS) framework is adopted, with the focus on simulation-based planning and control strategies related to the surveillance problem considered in this paper. To enable the team formation of multiple UAVs and UGVs, a two stage approach involving 1) crowd clustering and 2) UAV/UGV team assignment is proposed during the system operations by considering the geometry of the crowd clusters and solving a multi-objective optimization problem. For the experiment, an integrated testbed has been developed based on agent-based hardware-in-the-loop simulation involving seamless communications among simulated and real vehicles. Preliminary results indicate the effectiveness and efficiency of the proposed approach for the team formation of multiple UAVs and UGVs.
A deep-learning framework for amidation site prediction

Amidation plays an important role in a variety of pathological processes and serious diseases like neural dysfunction and hypertension. However, identification of protein amidation sites through traditional experimental methods is time consuming and expensive. Existing computational methods for predicting amidation sites are based on feature extraction, which may result in incomplete or biased features. To address these issues, we proposed a novel deep-learning predictor for amidation sites. Deep learning as the cutting-edge machine learning method has the ability to automatically discover complex representations of amidation patterns from the raw protein sequences, and hence it provides a powerful tool for improvement of amidation site prediction.
A smart metering system for monitoring electricity of building based on wireless network

This paper presents a monitoring system of building electricity using IPv6 to establish a network. This smart metering system consists of three parts: the host software, the network and the sensor nodes. The network, whose data transmits via Zigbee wireless communication protocol, is designed based-on IPv6 protocol, and builds the IPv6 protocol on IEEE 802.15.4 wireless network. The Sensor node has a unique IP address and the sampling rate is set according to the host system. With real-time measurement of power, current and voltage values including RMS, instantaneous value and peak value, each node achieved accurate data sampling and communication stability. The host software is designed for building test characteristics, having a tree hierarchy and friendly interface to user. The reliability and accuracy of this monitoring system are verified in the experiment.
Guest Editorial Screen Content Video Coding and Applications

This special issue aims to present recent technical advances in screen content video coding and applications. Screen content video has recently evolved from a niche to the mainstream due to the rapid advances in mobile and cloud technologies. Real-time, low-latency transport of screen visuals between devices in the form of screen content video is becoming prevalent in many applications, e.g., wireless displays, screen mirroring, display interfaces, screen/desktop virtualization and cloud-based mobile virtual reality. Today’s commonly-used video coding methods, however, have been developed primarily with camera-captured content in mind. These new applications create an urgent need for efficient coding of screen content video, especially as the support of 4k or even 8k resolution begins to achieve mass market appeal.
CNTs/Cu composite thin films fabricated by electrophoresis and electroplating techniques

The CNTs (carbon nanotubes)/Cu composite thin films were fabricated by a method combined electrophoresis and electroplating techniques. Uniform composite films with CNTs content from 0 to 32.68% were prepared. Relationship between sample resistivity and CNTs content is also studied. It shows that the resistivity of composite film is even lower than that of copper. Special mechanisms of copper grain growth and the time of electroplating were investigated with different CNTs content.
Hydrogeology characteristics analysis in the unconsolidated layers bottom of SunTuan coal mine

It is important implications to understand correctly hydrogeology characteristics of aquifers and aquifuge in unconsolidated layers bottom for reasonable retainment of safe coal rock pillar. In this paper, by means of drilling data statistics, X-ray diffraction(XRD), soil test and pumping test, aquifers and aquifuge Hydrogeology characteristics in Cenozoic unconsolidated layers bottom of SunTuan coal mine 102 mining area are comprehensively analyzed. It draw the conclusion that impermeability of “3rd-aquifuge” is good; “4th-aquifer” is weak permeable aquifer. These results have guiding significance for extending the upper extraction limit of mining area, and provide important protection for green exploitation of shallow seam covered with thin bedrock.
Integrated Visualization of Multi-Modal Electronic Health Record Data

Due to the rapid development of modern medical information technology, the modality and amount of electronic health record (EHR) data can be incredibly large. Clinicians must rely on the comparison and inter-confirmation among those complex multi-modal EHR data to make accurate clinical diagnoses, treatment plans and preventive measures. Integrated visualization is needed to extract valuable information from EHR data. This paper first studies a unified structure to represent the multi-modal EHR data as various kinds of clinical acts. Then it brings forward a method for the integrated visualization of those data according to the two dimensional act-time relationships. Finally, an integrated viewer is designed and implemented. By this means, we provide the clinicians an overall scene of the patient's personal history, present health status and future care plans.
An Innovative Research on the Mechanism of Integrated Strategic Financial Risk Management in the State-Owned Enterprise Group - Based on the Balanced Scorecard

When strategic management becomes the highest level and chief mission of corporate management in the State-owned enterprise group (SOE group), strategic risk management becomes the key stage of strategic management which determines the efficiency of strategic management. Strategic financial risk management in the SOE group which is based on the balanced scorecard (BSC) is the key content of the corporate strategic risk management; it impacts directly on the efficiency of the decision-making and operating of the strategic financial management. This paper studies the formation and efficient implementation mechanism of strategic financial risk management; it orients through the strategic financial risk management view, follows the stakeholders' Win-Win cooperation logic in the SOE group, and regards the efficient allocation of financial-right as a path. The study discloses the connotation of integrated strategic financial risk management in the SOE group based on the BSC; analyses its features including comprehensive idea, systemic structure, process interactivity, controllable efficiency etc.; dissects its operating mechanism of integration-systematization; puts forward the efficient implementation mechanism including interactivity management, contingency management, balanced management, idea management, boundary management and enterprise risk management (ERM) mechanism. In this research, we aim at ensuring that the SOE group can achieve the strategic financial objectives by managing the strategic financial risk effectively
Group-based association for UAV networks

This paper studies the group strategies of multi-UAVs for network association. The system consists of many small UAVs and two master UAVs. Small UAVs connect to the master UAVs according to their location. They make choices to select different group strategies and the leader of the group. In the group formed by the small UAVs, some small UAVs connect to the master UAVs directly and the others connect to the master UAVs through the leaders they select. In order to achieve two levels of spectrum sharing and transmission power optimization, a group-based algorithm is proposed to optimize the throughput and the cost of the transmission power. The simulation shows that this method is much better than the typically method which only considers spectrum sharing or power optimization. The group-based algorithm improves the throughput of the entire UAVs group and reduces the energy consumption.
Analysis of cladded fibers of trigonal crystal symmetry

An approximate method is proposed to analyze acoustic wave propagation characteristics in nonpiezoelectric cladded fibers of trigonal crystal symmetry. This method utilizes mode coupling equations, and exact solutions for corresponding cladded fibers of hexagonal crystal symmetry are used as the approximation base. Dispersion curves of flexural F/sub 11/, F/sub 21/, and F/sub 12/ modes in such a fiber with infinite cladding are presented for the first time. Acoustic modal birefringence phenomenon has been observed, which means the dispersion relation of a mode depends on its transverse polarization. It is found that in trigonal cladded fibers there is generally no pure torsional and radial-axial modes. Furthermore, the acoustic characterization results obtained from experimental investigations indicate that MgO doped cladded LiNbO/sub 3/ fibers may be appropriate for ultrasonic use.<<ETX>>
Dielectrophoretic addressable deposition of arc-SWCNTs for high-throughput screening FET arrays

For fabrication of arc-discharged single walled carbon nanotubes (arc-SWCNTs) based FET array, controllable deposition of SWNTs is an important issue. In this study highly purified arc-SWCNTs are deposited on the high-throughput screening FET array via the addressable dielectrophoresis method. The electrodes array are designed with different electrode gaps, from 3 to 20 µm, every electrode has its own address. In order to limit the SWCNTs to be deposited within the electrodes area, we designed a deposition window on the silicon chip surface by the optical lithography. Then the diluted SWCNTs solution was dropped onto the limited window. By setting a voltage (10 V, 100 kHz) between a specific source electrode and the shared drain electrode, the SWCNTs can be aligned evenly within the pair of electrodes via the dielectrophoresis process. This method might facilitate the controllable fabrication of high throughput screening SWCNTs-FET arrays for biosensors.
An Analytical Approach for Strongly Nonlinear Oscillator Arising in the Micro-Electromechanical System (MEMS)

In this study, the homotopy analysis method is used to obtain the asymptotic analytical solutions for the seventh-order temporal problem corresponds to a strongly nonlinear vibration arising in the microbeam-based microelectro mechanical system (MEMS). Numerical comparisons are conducted between the results obtained by the homotopy analysis and those analytical numerical results given in the literatures for authenticating the accuracy and correctness of this approach.
Dynamic replanning algorithm of local trajectory for unmanned surface vehicle

Unmanned surface vehicle (USV) is a kind of important marine autonomous robots, which has been studied and applied to practice gradually. In the study, the far-field collision conflict scope and marine traffic rules for USV are defined. A novel far-field region collision detection method is proposed for the collision conflict detection. The constraints from marine traffic rules and collision conflict are denoted by feasible candidate direction angle sets. On the base of sparse A*, a dynamic replanning algorithm of local trajectory is proposed for dynamic obstacles avoidance of USV in the far-field region. In the simulation, the validity of the algorithm is demonstrated in the experiments by different types of scenarios.
A Fast Algorithm for Low-Resolution Protein Structure Prediction

We propose a new approach for the protein tertiary structure prediction based on the concept of mini-threading. The method identifies useful fragments in Protein Data Bank (PDB) with variable lengths and retrieves spatial restraints. The multidimensional scaling method and least-squares minimization are used to build coarse-grain structural models. Our method uses the information in the PDB efficiently and the prediction time is in minutes when compared to hours and days required by existing methods
Data Dynamic Mining and Its Attribute Logic Relation

Singular rough sets or S-rough sets, which have dynamic characteristics, are proposed by improving rough sets of Z. Pawlak. Two structures of S-rough sets: one direction singular rough sets and dual of one direction singular sets, are used to work out data dynamic mining which satisfies the attribute disjunction characteristics. Then the authors further work out the concepts of inner-data, outer-data and inner-outer data and discuss their attribute disjunction contraction-expansion. Finally, dynamic data mining-separation is presented, and the disjuction criterion of inner-outer dynamic mining-attribute and applications of the data are given.
Automatic Segmentation for Ovarian Cancer Immunohistochemical Image Based on YUV Color Space

Segmentation of Immunohistochemical image plays an import part in quantitative assessment of immunohistochemical image. In this paper, an automatic segmentation method was proposed according to characteristics of color immunohistochemical images based on YUV color space. First, it extracts Y, U, V three-component diagram and then we discover that positive cells are distributed in the high gray areas of the V component and distributed in the low gray areas of U component, while the negative cells are located in the high gray areas of the U component and located in the low gray areas of V component. Then, it uses OTSU segmentation method to extract the negative cells region on Y and V components and extract positive cells region on Y and U components. The experimental results show that the method can be a good segmentation of ovarian cancer immunohistochemical images.
Design of Pool Mixes Against Profiling Attacks in Real Conditions

Current implementations of high-latency anonymous communication systems are based on pool mixes. These tools act as routers that apply a random delay to the messages traversing them, making it hard for an eavesdropper to guess the correspondences between incoming and outgoing messages. This hides the identities of communicating partners in the network, but it does not prevent an adversary continuously monitoring the network from unveiling the communication profiles of the users. In this paper, we tackle the problem of designing the delay characteristic of pool mixes so as to maximize the protection of the users against profiling attacks. First, we propose a theoretical model for users' sending behavior which we validate using three real data sets of a different nature. Then, we use this model to perform a privacy analysis of the system and obtain the delay function of the mix, which is optimal in the sense of protecting the users. Since computing the delay characteristic of this optimal pool mix requires information about the users' behavior, we also propose a user-independent but less effective mix design. We evaluate these pool mixes, comparing them with one of the most studied existing designs, the binomial pool mix. Our experiments show that an adversary against our optimal design may need up to 30 times as long to achieve the same level of disclosure as for a binomial pool mix.
Statistical Detection of JPEG Traces in Digital Images in Uncompressed Formats

Intrinsic statistical properties of natural uncompressed images are used in image forensics for detecting the traces of previous processing operations. In this paper, we propose novel forensic detectors of JPEG compression traces in images stored in uncompressed formats, based on a theoretical analysis of Benford-Fourier coefficients computed on the  $8\times 8$  block-Discrete Cosine Transform (DCT) domain. In fact, the distribution of such coefficients is derived theoretically both under the hypotheses of no compression and previous compression with a certain quality factor, allowing for the computation of the respective likelihood functions. Then, two classification tests based on different statistics are proposed, both relying on a discriminative threshold that can be determined without the need of any training phase. The statistical analysis is based on the only assumptions of generalized Gaussian distribution of DCT coefficients and independence among DCT frequencies, thus resulting in robust detectors applying to any uncompressed image. In fact, experiments on different datasets show that the proposed models are suitable for the images of different sizes and source cameras, thus overcoming dataset-dependence issues that typically affect the state-of-art techniques.