Miracle-dz/UniFAR-FTUs huggingface dataset:
Lee-Yang Property and Gaussian Free Fields

The Lee-Yang property of certain moment generating functions having only pure imaginary zeros is valid for Ising type models with one-component spins and XY models with two-component spins. Villain models and complex Gaussian multiplicative chaos are two-component systems analogous to XY models and related to Gaussian free fields. Although the Lee-Yang property is known to be valid generally in the first case, we show that is not so in the second. Our proof is based on two theorems of general interest relating the Lee-Yang property to distribution tail behavior.
Performance of 12 reference evapotranspiration estimation methods compared with the Penman–Monteith method and the potential influences in northeast China

Reference evapotranspiration (ET0) is an important factor for agricultural activity and water management. Its estimation methods have significant regional differences. The Penman–Monteith (P‐M) method, which is recommended by the Food and Agriculture Organization (FAO), has been widely accepted, but it requires a large amount of data. This study analysed the performance of 12 ET0 estimation methods in different sub‐regions and periods by comparing them with the FAO P‐M method. Northeastern China was divided into eight sub‐regions according to their terrains and climates. Meteorological data obtained from 126 stations in these sub‐regions between the 1950s and 2014 were used to calculate the ET0 values. The performances were identified via four indices: root mean squared error, mean absolute error, average ratio and Spearman's correlation co‐efficient. The optimal method for agricultural areas was then modified by using linear regression analysis. The results are as follows: the Valiantzas2, Romanenko2 and H‐Makkink methods are recommended as alternative methods during the crop‐growing period, whereas the Turc and Hargreaves–Samani methods can generate significant biases. The Valiantzas2 and H‐Makkink methods are the optimal ones for estimating ET0 values in agricultural areas. Based on the outputs from the FAO P‐M method, ET0 values are most sensitive to temperature, accounting for 59.5%. Other methods that provide similar results can be considered as alternatives. Finally, the modified equation can provide the most accurate results, but drought events also affect the accuracy of the modified method.
Probe $CP$ property in $H\gamma\gamma$ coupling through interference

The diphoton invariant mass distribution of interference between $gg\to H \to \gamma\gamma$ and $gg\to \gamma\gamma$ is almost antisymmetric around the Higgs mass $M_H$. We propose a new observable $A_{int}$ to quantify this effect, which is a ratio of a sign-reversed integral around $M_H$ ( e.g. $\int^{M_H}_{M_H-5~\mbox{GeV}} -\int_{M_H}^{M_H+5~\mbox{GeV}}$) and the cross section of the Higgs signal. We study $A_{int}$ in Standard Model (SM) and various $CP$-violating $H\gamma\gamma$ couplings. The $A_{int}$ in SM ($A_{int}^{SM}$) has a significance of $3\sigma$ for 30~fb$^{-1}$ integrated luminosity, and is possible to be detected in current experiment. Meanwhile, for $CP$-violating $H\gamma\gamma$ couplings, $A_{int}$ could range from $A_{int}^{SM}$ to minus $A_{int}^{SM}$, which makes it a good observable to study new physics. The $A_{int}$ with both $CP$-violating $H\gamma\gamma$ and $Hgg$ couplings are also studied and its value range is further extended.
Sybil-Resilient Conductance-Based Community Expansion

Preventing fake or duplicate e-identities (aka sybils) from joining an e-community may be crucial to its survival, especially if it utilizes a consensus protocol among its members or employs democratic governance, where sybils can undermine consensus, tilt decisions, or even take over. Here, we explore the use of a trust graph of identities, with trust edges representing trust among identity owners, to allow a community to grow without increasing its sybil penetration. Since identities are admitted to the e-community based on their trust by existing e-community members, corrupt identities, which may trust sybils, also pose a threat to the e-community. Sybils and their corrupt perpetrators are together referred to as Byzantines, and our overarching aim is to limit their penetration into an e-community. Our key tool in achieving this is graph conductance, and our key assumption is that honest people are averse to corrupt ones and tend to distrust them. Of particular interest is keeping the fraction of Byzantines below one third, as it would allow the use of Byzantine Agreement [13] for consensus as well as for sybil-resilient social choice [16,20] and sybil-resilient parameter update [19]. We consider sequences of expanding trust graphs and show that, under our key assumption and additional requirements from the expansion process, including keeping the conductance of the community trust graph sufficiently high, a community may expand safely.
Coblation removal of large suprastomal tracheal granulomas

INTRODUCTION Suprastomal granuloma formation is a common complication of pediatric tracheostomy. In fact, it has been reported to occur in as many as 80% of cases. The origin of these lesions is not completely known but may be related to cartilage trauma during the initial procedure, friction from the tube itself, infection, or pooling of secretions in this area. No certain way to prevent granuloma formation has been described. Some authors advocate creating a formal tracheostoma, but no good data on granuloma formation in this population have been published. The consensus is that small, nonobstructing granulomas do not require removal given their high recurrence rate and the low morbidity associated with them. Larger granulomas are associated with a much higher morbidity, from more minor issues of bleeding and poor voice production to the potentially lifethreatening complication of accidental decannulation. Many techniques have been described for granuloma removal, including CO2 laser, 4 optical forceps, sphenoid punch, hook eversion technique, rongeur, KTP laser, and open excision. There are challenges to all of these techniques, and one has not proven to be superior to the rest. Use of any laser brings an attendant risk of airway fire. Forceps, punch, or hook techniques may be associated with increased bleeding as well as the possibility of tissue loss into the lower airways. We describe a previously unpublished technique for obstructing suprastomal granuloma excision, using coblation under bronchoscopic visualization. This technique offers several advantages. First, there is decreased
Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors

This paper proposes a novel task allocation framework, PSTasker, for participatory sensing (PS), which aims to maximize the overall system utility on PS platform by coordinating the allocation of multiple tasks. While existing studies mainly optimize the task allocation from the perspective of the task organizer (e.g., maximizing coverage or minimizing incentive cost), PSTasker further considers diverse factors on the participants’ side, including user work bandwidth, user availability, devices’ sensor configuration, task completion likelihood, and mobility pattern. Furthermore, by considering the heterogeneity in three dimensions (i.e., task, time, and space), it adopts a novel model to measure task sensing quality and overall system utility. In PSTasker, it first calculates the utlity of a given task allocation plan by jointly fusing different participant-side factors into one unified estimation function, and then employs an iterative greedy process to optimize the task allocation. Extensive evaluations based on real-world mobility traces demonstrate that PSTasker outperforms the baseline methods under various settings.
The Improvement of Personalized Recommendation System Based on Sparse Data of Financial Products

In the era of big data, innovative marketing of internet finance confronts with new challenges. How to provide users with precise customized financial service, has become a problem of further expansion of internet financial market. Based on this background, the research integrates the ideology of concept hierarchy into the traditional personalized recommendation algorithm, and proposes an improved trick, which is punishing user similarity computation of popular items. And the research integrates the ideology of community mining into recommendation algorithm, making EO algorithm as the basis of community division algorithm, which combines improved index of user similarity and the Q of community discovery to build a new model of community discovery and divide the structure of social network. Optimizing the procedure of recommendation system solves the problems of data sparsity, cold start and system scalability. In the end, selecting the data from the Mint, which is a financial institution in America, demonstrates the improved effect that the two innovative schemes proposed in this research contribute to the accuracy of the recommendation system and the precision of community discovery.
Abelian Chern-Simons theory for the fractional quantum Hall effect in graphene

We develop a theory for the pseudorelativistic fractional quantum Hall effect in graphene, which is based on a multicomponent Abelian Chern-Simons theory in the fermionic functional integral approach. Calculations are performed in the Keldysh formalism, directly giving access to real-time correlation functions at finite temperature. We obtain an exact effective action for the Chern-Simons gauge fields, which is expanded to second order in the gauge field fluctuations around the mean-field solution. The one-loop fermionic polarization tensor as well as the electromagnetic response tensor in random phase approximation are derived, from which we obtain the Hall conductivities for various FQH states, lying symmetrically around charge neutrality.
Networks of queues

The behaviour in equilibrium of networks of queues is studied. Equilibrium distributions are obtained and in certain cases it is shown that the state of an individual queue is independent of the state of the rest of the network. The processes considered in this paper are irreversible; however, the method used to establish equilibrium distributions is one which has previously only been used when dealing with reversible processes. Results are obtained for models of communication networks, machine interference and birth-illness-death processes.
Error-Control-Coding Assisted Imaging.

Error-control-coding (ECC) techniques are widely used in modern digital communication systems to minimize the effect of noisy channels on the quality of received signals. Motivated by the fact that both communication and imaging can be considered as an information transfer process, in this paper we demonstrate that ECC could yield significant improvements in the image quality by reducing the effect of noise in the physical process of image acquisition. In the demonstrated approach, the object is encoded by ECC structured light fields generated by a digital-micromirror-device (DMD) while its image is obtained by decoding the received signal collected by a bucket-detector (BD). By applying a Luby Transform (LT) code as an example, our proof-of-concept experiment validates that the object image can be effectively reconstructed while errors induced by noisy reception can be significantly reduced. The demonstrated approach informs a new imaging technique: ECC assisted imaging, which can be scaled into applications such as remote sensing, spectroscopy and biomedical imaging.
The Use of Spatio-Temporal Data Mining for Detection and Interpretation of Trajectory Outliers in Health Care Services

In the last decade, useful information extraction from moving objects has become widespread in the spatial-temporal data mining field with the increasing use of devices such as RFID and GPS. For this purpose, the outlier detection method, which is a subfield of data mining, was applied to the trajectory of patients and diseases in the dental health service. In this article, TRAOD and TOD-SS algorithms combining distance and density-based methods were preferred. These algorithms do not handle the moving object trajectory as a whole unlike other outlier detection techniques. They investigate whether each piece exhibits different behavior according to its neighbors by separating trajectories into pieces. So, they detect outlying trajectory pieces that other algorithms cannot locate. Algorithms preferred in this study were used in a COMB-O model we developed and their performances were compared. In addition, according to the region and clinic, the classification of patients was made. Also, clustering, which is another branch of spatial-temporal data mining, was performed for trajectory. When the COMB-O model was executed, results showed sub-trajectories that deviated from the trajectory data were successfully detected with the help of the trajectory outlier detection algorithms. Inconsistent trajectories perceived provided significant data. In addition to this, successful classification was performed by making use of non-linear classification features of DVM. Moreover, stops and moves in the Faculty of Dentistry were detected by using CB-SMoT and DB-SMoT which are clustering algorithms.
Integrating Social Networks with Mobile Device-to-Device Services

In recent years, the rapid growth of traffic has become a serious problem of mobile network operators. For effectively mitigating this traffic explosion problem, there have been many efforts to research on offloading the traffic from cellular links to direct communications among users. In this paper, we are motivated by users’ sharing activities, and hence propose the framework of Traffic Offloading assisted by Social network services (SNS) via opportunistic Sharing in mobile social networks (MSNs), TOSS, to offload SNS-based cellular traffic by user-to-user sharing. First, a subset of users who are to receive the same content was selected as initial population depending on their content spreading impacts in the online SNSs and their mobility patterns in the offline MSNs. Then users move, encounter and share the content via opportunistic local connectivity with each other, the content via opportunistic local connectivity with each other, e.g., Bluetooth, Wi-Fi Direct, Device-to-Device in LTE. Individual users have distinct access patterns, which potentially allow TOSS to exploit the user-dependent access delay between the content generation time and each user’s access time for content sharing purposes. The traffic offloading and content spreading among users are analyzed by taking into account various options in linking SNS and MSN traces. Four mobility traces and online SNS trace for evaluation are analyzed. An extended evaluation over a large-scale data set are further carried out, and the effectiveness of TOSS is further proved.
Antihyperglycemic Activity of Piper crocatum Leaves and Cinnamomum burmannii Bark Mixture Extract in Streptozotocin-induced Diabetic Rats

Indonesia presently has the fourth largest diabetic mellitus prevalence of all countries in the world. In a previous study, a mixture extract of Piper crocatum leaves and Cinnamomum burmannii bark showed in vitro antihyperglycemic activity. It acted as inhibitor of the a-glucosidase enzyme and had no toxic effect when it was administered orally to male and female rats for 28 days. In the present study, mixture extracts of P. crocatum leaves and C. burmannii bark were used to observe antihyperglycemic activity in diabetic rats induced with streptozotocin. Mixture extracts of P. crocatum leaves and C. burmannii bark were orally given to diabetic Sprague Dawley rats at various doses for 16 days. The results showed that the treatment led to a reduction of the blood glucose level, an increase in blood insulin level up to 170.75% at 1260 mg/kg body weight, maintaining the blood lipid level of the diabetic rats at a normal level, and an increase of pancreatic s cells in the islets of Langerhans up to 2.2-fold at 1260 mg/kg body weight. The mixture extracts of P. crocatum and C. burmannii have antihyperglycemic activity, which enhances the number of pancreatic β cells.
Software Framework for Robot-Assisted Large Structure Assembly

This paper presents the design and initial results of a project involving the robotic assembly of a large segmented structure. This project aims to develop an operator-guided semi-autonomous assembly process using industrial robots integrated with multiple sensors. The goal is to demonstrate the potential of robotic technology to reduce cycle time, enhance assembly quality, and improve worker ergonomics, as compared to the current manual or fixture-based approaches. The focus is primarily on the software framework which is composed of a collection of commercial and customized components for robot positioning, motion planning, low latency teleoperation, visualization and simulation. A foundation step of the implementation is safe teleoperation which allows the user to operate the robot without concern of collision or joint limits. The concept has been demonstrated in RobotStudio, the simulation environment for ABB robots, and a physical ABB robot. While some of the software is specific to the ABB industrial robot used in the project, the framework is readily adapted to other industrial robots that allow externally commanded motion.
Optimization of Wireless Power Transfer System for Implantable Biomedical Devices Using Firefly Method

The paper presents analysis of the transferred power of an inductive link circuit with different network configurations of capacitors connected to primary and secondary coils. The performance for both objective functions is observed using four capacitor, two capacitors connected to the input coil and two capacitors connected to the output coil. However, the output in this circuit configuration for both efficiency and output power are very complex and a numerical method is applied to calculate the capacitors values. Since an in-depth search would be long therefore, some simplifications is assumed to reduce the search space and the time. Therefore, an algorithm based on a optimizer method is developed and successfully applied. The results for both efficiency and output power of four capacitors configuration are compared with other approaches, such as the single and two capacitors compensation. Finally, a basic prototype is built and the theoretical results are validated. Both simulated and experimental results of the four capacitor configuration showed a significant improvement on the efficiency and output power of the inductive link.
Numerical Analysis of Inverse Problems for the Model of Transfer of Industrial Environmental Pollution in the Machine-Building

The model of transfer of polluting substance is considered. inverse extremum problem of identification of the coefficients in an elliptic diffusion-reaction equation is formulated. The solvability of this problem is proved, the application of Lagrange principle is justified and the optimality system is constructed for specific cost functional. The numerical algorithm based on Newton-method of nonlinear optimization of linear elliptic problems is developed and programmed on computer. The results of numerical experiments are discussed
Detection of Composite Images Based on JPEG Compression Properties

This paper proposes an image forgery detection scheme based on JPEG compression properties,which aims to identify a special type of images that are composed of contents from different JPEG images.Inconsistency in compression qualities and block boundaries in a suspicious image can provide a clue for forgery detection.By recompressing the image with different quality factors and analyzing the induced distortion,we can estimate the quality factor initially used in the main area of the image.Thus,inconsistency can be found from fluctuation of distortion energy in different areas.The proposed scheme is capable of identifying objects from different origins,and provides a useful means of digital forensics.
Robust Bird-Strike Modeling Based on SPH Formulation Using LS-DYNA

A model to simulate bird-strike events under various conditions is developed to establish a comparison between the LS-DYNA simulations using the Lagrangian and Smooth Particle Hydrodynamic finite element methods. Classical test data available in the literature and Lagrangian models were used for basis of comparison. Both numerical and graphical data were compared with the developed models using LSDYNA. The simulations considered in this work include frontal impact of soft-bodies in rigid plates, and angled impacts in a tapered plate; the bird was simulated as a cylinder. These simulations measured pressure and force distribution during impactevents. The results show good correlation to the experimental data, when the bird was modeled as a cylinder. For the solid sphere model available in the literature, the current developments provide good correlation with the experimental data. The development of these models allowed comparison between the Lagrange and SPH methods to the test data, and is the base for making a good judgment on which method is recommended to be used to simulate bird-strike events.
Computation of kinematic and magnetic $\alpha$-effect and eddy diffusivity tensors by Pad\'e approximation

We present examples of Pade approximation of the $\alpha$-effect and eddy viscosity/diffusivity tensors in various flows. Expressions for the tensors derived in the framework of the standard multiscale formalism are employed. Algebraically the simplest case is that of a two-dimensional parity-invariant six-fold rotation-symmetric flow, where eddy viscosity is negative, indicating intervals of large-scale instability of the flow. Turning to the kinematic dynamo problem for three-dimensional flows of an incompressible fluid, we explore application of Pade approximants for computation of tensors of magnetic $\alpha$-effect and, for parity-invariant flows, of magnetic eddy diffusivity. We construct Pade approximants of the tensors expanded in power series in the inverse molecular diffusivity $1/\eta$ around $1/\eta=0$. This yields the values of the dominant growth rate due to the action of the $\alpha$-effect or eddy diffusivity to satisfactory accuracy for $\eta$, several dozen times smaller than the threshold, above which the power series is convergent. For one sample flow, we observe eddy diffusivity tending to negative infinity when $\eta$ tends from above to the point of the onset of small-scale dynamo action in a symmetry-invariant subspace where a neutral small-scale magnetic mode resides. However, 49 first coefficients in the power series in $1/\eta$ prove insufficient for Pade approximants to reproduce this behaviour. We do computations in Fortran in the standard `double' (real*8) and extended `quadruple' (real*16) precision, as well as perform symbolic calculations in Mathematica.
Redox-controlled epitaxy and magnetism of oxide heterointerfaces: EuO/SrTiO$_3$

We demonstrate a novel route to prepare thin films of the ferromagnetic insulator Europium monoxide. Key is a redox-controlled interface reaction between metallic Eu and the substrate SrTiO$_3$ as the supplier of oxygen. The process allows tuning the electronic, magnetic and structural properties of the EuO films. Furthermore, we apply this technique to various oxidic substrates and demonstrate the universality and limits of a redox-controlled EuO film synthesis.
An Efficient and Effective Image Retrieval System on the basis of (Feature, Matching Measure and sub-space) Selection

Since its appearance as a research field, Content-based Image Retrieval (CBIR) system has increasingly received an important attention. Review of literature reveals that the efforts put, up to now, in the field address either effectiveness or efficiency. In this paper, we address both accuracy and efficiencythrough introducing an efficient and an effective image retrieval approach based on feature, matching measure and sub-spaceselection. The selection relies on relevance feedback information injected by the user. The approach is tested on Corel-1Kimages database. The obtained results are very promising.