Miracle-dz/UniFAR-FTUs huggingface dataset:
Effective acquaintance management for Collaborative Intrusion Detection Networks

An effective Collaborative Intrusion Detection Network (CIDN) allows distributed Intrusion Detection Systems (IDSes) to collaborate and share their knowledge and opinions about intrusions, to enhance the overall accuracy of intrusion assessment as well as the ability of detecting new classes of intrusions. Towards this goal, we propose a distributed Host-based IDS (HIDS) collaboration system, particularly focusing on acquaintance management where each HIDS selects and maintains a list of collaborators from which they can consult about intrusions. More specifically, each HIDS evaluates both the false positive (FP) rate and false negative (FN) rate of its neighboring HIDSes' opinions about intrusions using Bayesian learning, and aggregates their opinions about intrusions using a Bayesian decision model. Our dynamic acquaintance management algorithm allows each HIDS to effectively select a set of collaborators. We evaluate our system based on a simulated collaborative HIDS network. The experimental results demonstrate the convergence, stability and incentive of our system.
Numerical Simulation of Surface Acoustic Wave Actuated Separation of Rigid Enantiomers by the Fictitious Domain Lagrange Multiplier Method

Abstract Enantiomers are chiral objects which differ by their orientation and are thus referred to as left-handed and right-handed enantiomers. In applications they mostly occur as so-called racemic compounds consisting of approximately the same amount of left- and right-handed species which may have completely different properties. Hence, the separation of left- from right-handed enantiomers is an important issue. Conventional technologies are based on gas or high pressure liquid chromatography, capillary electrophoresis, or nuclear magnetic resonance, but typically they are slow and require costly chiral media. A new idea for separation of chiral objects is based on introducing them in certain vorticity patterns, which has been shown to work in theory for an extremely simplified setting by Kostur et al. [Phys. Rev. Lett. 96 (2006), 014502-1–014502-4]. In this paper, we investigate whether these ideas can be successfully adapted to a more realistic setup which can be implemented experimentally. For this purpose, we simulate transport of rigid chiral particles in a fluidic environment by an application of the fictitious domain Lagrange multiplier method due to Glowinski et al. [J. Comput. Phys. 169 (2001), 363–427] which has been designed to study the motion of rigid particles in carrier fluids. Numerical results are presented which illustrate the feasibility of enantiomer separation in flow fields consisting of pairwise counter-rotating vortices. Moreover, a first experimental setup based on surface acoustic wave generated vorticity patterns on the surface of a carrier fluid is devised which reflects the idealized numerical model and gives promising results with respect to properties of particle propagation. These findings may lead to a new technology for enantiomer separation which is both fast and cost-effective.
Reconstruction with Irradiated Homograft Costal Cartilage

The authors present their experience with 51 patients who underwent 55 reconstructive and cosmetic operative procedures with irradiated homograft costal cartilage, who were studied between August of 1988 and June of 2001. The procedures included 52 rhinoplasties and three penile implantations among a total of 130 grafts. Follow-up ranged from 7 months to 12 years. There were two immediate graft exposure complications. Late complications included displacement of the graft in two patients, fracture of the graft in one patient, and partial resorption in one patient at 6 months postoperatively. The experience is described and the literature is reviewed.
Predicting the Types of J-Proteins Using Clustered Amino Acids

J-proteins are molecular chaperones and present in a wide variety of organisms from prokaryote to eukaryote. Based on their domain organizations, J-proteins can be classified into 4 types, that is, Type I, Type II, Type III, and Type IV. Different types of J-proteins play distinct roles in influencing cancer properties and cell death. Thus, reliably annotating the types of J-proteins is essential to better understand their molecular functions. In the present work, a support vector machine based method was developed to identify the types of J-proteins using the tripeptide composition of reduced amino acid alphabet. In the jackknife cross-validation, the maximum overall accuracy of 94% was achieved on a stringent benchmark dataset. We also analyzed the amino acid compositions by using analysis of variance and found the distinct distributions of amino acids in each family of the J-proteins. To enhance the value of the practical applications of the proposed model, an online web server was developed and can be freely accessed.
Effects of fiber reinforcement on the fatigue and rutting performance of asphalt mixes

Fatigue, stiffness and rutting characteristics have a major influence on the pavement performance. For this reason different fibers are currently in use to investigate the impact of loose fiber reinforcement on the performance characteristics of asphalt mixtures. This paper presents tests of the fatigue, stiffness and deformation characteristics of different asphalt mixes. An asphalt base mix AC 22 T S (3 variations) and a stone mastic asphalt SMA 8 S (8 variations) were chosen to determine the effect of fiber reinforcement on fatigue and rutting performance. The test results show the influence of the chosen fibers (cellulose and Polyacrylonitrile PAN) on the material characteristics mentioned. On the one hand the difference between the mastercurves is insignificant concerning fiber use. On the other hand it is obvious that the fibers significantly influence the fatigue behavior. The impact of reinforcement is also illustrated using the German pavement design process. The use of fibers allows a road base layer reduction by up to 6 cm without compromising the safety level. The plastic deformation value can be reduced to 42% depending on fiber type and quantity. Further improvement can be achieved by inserting polymer modified bitumen, which reduces the plastic deformation value to approx. 64%.
Glucose and aging control the quiescence period that follows pancreatic beta cell replication

Pancreatic beta cell proliferation has emerged as the principal mechanism for homeostatic maintenance of beta cell mass during adult life. This underscores the importance of understanding the mechanisms of beta cell replication and suggests novel approaches for regenerative therapy to treat diabetes. Here we use an in vivo pulse-chase labeling assay to investigate the replication dynamics of adult mouse beta cells. We find that replicated beta cells are able to re-enter the cell division cycle shortly after mitosis and regain their normal proliferative potential after a short quiescence period of several days. This quiescence period is lengthened with advanced age, but shortened during injury-driven beta cell regeneration and following treatment with a pharmacological activator of glucokinase, providing strong evidence that metabolic demand is a key determinant of cell cycle re-entry. Lastly, we show that cyclin D2, a crucial factor in beta cell replication, is downregulated during cell division, and is slowly upregulated post-mitosis by a glucose-sensitive mechanism. These results demonstrate that beta cells quickly regain their capacity to re-enter the cell cycle post-mitosis and implicate glucose control of cyclin D2 expression in the regulation of this process.
Inflation Targeting and Real Exchange Rates in Emerging Markets

We examine the inflation targeting (IT) experiences of emerging market economies, focusing especially on the roles of the real exchange rate and the distinction between commodity and non-commodity exporting nations. In the context of a simple empirical model, estimated with panel data for 17 emerging markets using both IT and non-IT observations, we find a significant and stable response running from inflation to policy interest rates in emerging markets that are following publically announced IT policies. By contrast, central banks respond much less to inflation in non-IT regimes. IT emerging markets follow a “mixed IT strategy” whereby both inflation and real exchange rates are important determinants of policy interest rates. The response to real exchange rates is much stronger in non-IT countries, however, suggesting that policymakers are more constrained in the IT regime—they are attempting to simultaneously target both inflation and real exchange rates and these objectives are not always consistent. We also find that the response to real exchange rates is strongest in those countries following IT policies that are relatively intensive in exporting basic commodities. We present a simple model that explains this empirical result.
Traditional use of indigenous mosquito-repellents to protect humans against mosquitoes and other insect bites in a rural community of Cameroon.

OBJECTIVE To document and test the efficacy of indigenous traditional personal protection methods against mosquito bites and general nuisance. DESIGN A prospective study based on a survey and field evaluation of selected plant-based personal protection methods against mosquito bites. SETTING Bolifamba, a rural setting of the Mount Cameroon region. SUBJECTS A structured questionnaire was administered to 179 respondents and two anti-mosquito measures were tested under field conditions. MAIN OUTCOME MEASURES Identified traditional anti-mosquito methods used by indigenes of Bolifamba. Two plants tested under field conditions were found to be effective. RESULTS Of the 179 respondents, 88 (49.16%) used traditional anti-mosquito methods; 57 (64.77%) used plant-based methods while 31 (35.2%) used various petroleum oils. The rest of the respondents, 91 (50.8%) used conventional personal protection methods. Reasons for using traditional methods were because they were available, affordable and lack of known more effective alternatives. The demerits of these methods were: labourious to implement, stain dresses, produce a lot of smoke/ repulsive odours when used; those of conventional methods were lack of adequate information about them, high cost and non-availability. When the two most frequently used plants, Saccharum officinarium and Ocimum basilicum were evaluated under field conditions, each gave a better protection than the control. CONCLUSION Most plants used against mosquitoes in the area are known potent mosquito repellents but others identified in the study warrant further research. The two tested under field conditions were effective though less than the commonly used commercial diethyltoluamide.
GENETIC STRUCTURE OF TWO SPECIES OF WATERSTRIDERS (GERRIDAE: HEMIPTERA) WITH DIFFERING DEGREES OF WINGLESSNESS

The Gerridae (Hemiptera: Insecta) is a worldwide family whose constituent species exhibit dramatic interand intraspecific variation in the degree of winglessness (Brinkhurst, 1960; Vepsaliiinen, 1978; Calabrese, 1979). At one extreme, the family contains species which are fully winged in all populations and during all seasons, while several species consist almost exclusively of wingless morphs over large geographical ranges and during all seasons. Many species exhibit the intermediate case of wing-polymorphism: the occurrence of various combinations of fully winged, partially winged and/or wingless morphs in the same population at the same time. Various wing-polymorphic species show differing patterns of spatial and/or temporal changes in morph ratios and patterns may vary both interand intraspecifically. The dramatic differences in frequency of winged morphs pose intriguing questions regarding the evolutionary forces responsible for degree of winglessness and the relationship between degree of winglessness and genetic structure of waterstrider species. One might expect genetic structure to be strongly influenced by degree of winglessness via reduction of flight dispersal ability and consequent reduced gene flow. Thus, species composed almost exclusively of wingless individuals should exhibit patterns of marked genetic differ-
The determinant representation for quantum correlation functions of the sinh-Gordon model

We consider the quantum sinh-Gordon model in this paper. Form factors in this model were calculated by Mussardo and colleagues. We sum up all contributions of form factors and obtain a closed expression for a correlation function. This expression is a determinant of an integral operator. Similar determinant representations have been proven to be useful not only in the theory of correlation functions, but also in matrix models.
Compressed sensing techniques for dynamic resource allocation in wideband cognitive networks

For multi-user cognitive networks, joint dynamic resource allocation (DRA) and waveform adaptation techniques have been developed that effectively represent, manipulate and utilize the physical-layer radio resources by synthesizing both transmitter and receiver waveforms from generalized signal expansion functions. To effect distributed DRA games, this paper discusses the intertwined sensing task and develops compressed sensing techniques that simultaneously estimate all the channel and interference links using only a small number of samples collected from a sparse set of expansion functions. By properly identifying and utilizing the sparsity properties of a wideband environment, the proposed schemes considerably reduce both sensing time and implementation costs.
Deep brain stimulation of the subthalamic nucleus selectively improves learning of weakly associated cue combinations during probabilistic classification learning in Parkinson's disease.

OBJECTIVE Evidence from functional imaging and clinical studies on patients with Parkinson's disease (PD) or Huntington's disease (HD) suggests that the basal ganglia play a crucial role in learning on the weather prediction task (WPT). Using deep brain stimulation (DBS) on versus off methodology, the aim of this study was to investigate the effect of altering the output from the basal ganglia to the prefrontal cortex on implicit probabilistic classification learning on the WPT by patients with PD. METHOD Eleven PD patients with bilateral DBS of the subthalamic nucleus (STN) and 13 matched controls completed 200 trials of the WPT on 2 separate occasions, with the patients tested with DBS of the STN on or off. RESULTS DBS of the STN had no effect on overall WPT learning. However, STN DBS selectively improved implicit learning of cue combinations that were weakly (implicitly), rather than strongly (explicitly), associated with the WPT outcome. CONCLUSIONS Results suggest that the STN plays a role in implicit probabilistic classification learning by altering basal ganglia output to the frontal cortex.
The Aspinwall-Morrison calculation and Gromov-Witten theory

1. IntroductionI. A bit of history. (See [6] for a good reference on the history of theproblem.) One of the problems in the old and recent story of mirror symetryhas been the issue of multiple covers on a Calabi-Yau 3-fold X. In the preGromov-Witten era, this problem can be explained in terms of topologicalﬁeld theories.Let X be a Calabi-Yau threefold and H
Multi-cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation

The use of multiple features for tracking has been proved as an effective approach because limitation of each feature could be compensated. Since different types of variations such as illumination, occlusion and pose may happen in a video sequence, especially long sequence videos, how to dynamically select the appropriate features is one of the key problems in this approach. To address this issue in multi-cue visual tracking, this paper proposes a new joint sparse representation model for robust feature-level fusion. The proposed method dynamically removes unreliable features to be fused for tracking by using the advantages of sparse representation. As a result, robust tracking performance is obtained. Experimental results on publicly available videos show that the proposed method outperforms both existing sparse representation based and fusion-based trackers.
A Ray Tracing Approach to Diffusion Curves

Diffusion curves [ OBW*08 ] provide a flexible tool to create smooth‐shaded images from curves defined with colors. The resulting image is typically computed by solving a Poisson equation that diffuses the curve colors to the interior of the image. In this paper we present a new method for solving diffusion curves by using ray tracing. Our approach is analogous to final gathering in global illumination, where the curves define source radiance whose visible contribution will be integrated at a shading pixel to produce a color using stochastic ray tracing. Compared to previous work, the main benefit of our method is that it provides artists with extended flexibility in achieving desired image effects. Specifically, we introduce generalized curve colors called shaders that allow for the seamless integration of diffusion curves with classic 2D graphics including vector graphics (e.g. gradient fills) and raster graphics (e.g. patterns and textures). We also introduce several extended curve attributes to customize the contribution of each curve. In addition, our method allows any pixel in the image to be independently evaluated, without having to solve the entire image globally (as required by a Poisson‐based approach). Finally, we present a GPU‐based implementation that generates solution images at interactive rates, enabling dynamic curve editing. Results show that our method can easily produce a variety of desirable image effects.
Incidence of posterior capsule opacification following the implantation of a foldable hydrophilic acrylic intraocular lens: a 4 year follow-up study.

PURPOSE To evaluate the incidence of posterior capsule opacification (PCO) four years after the implantation of a hydrophilic acrylic intraocular lens (IOL). METHODS Fifty-eight randomly selected eyes from 58 patients were analyzed four years after phacoemulsification and Ioflex IOL implantation. The patients underwent an ophthalmic examination to detect PCO and a detailed medical history was obtained. The patients' charts were reviewed for their corrected distance visual acuity prior to the IOL implantation, as well as for one month postoperatively. The Student's t-test was used for statistical analysis. RESULTS The mean age of patients without PCO was 74.6 ± 9.5 years, compared to 70.3 ± 15 years in patients with PCO. Four years after surgery, 39 of the 58 eyes (67%) had detectable PCO and 24 eyes (41.3%) had decreased visual acuity (VA) due to PCO. These patients were referred for Nd:YAG laser capsulotomy. Three patients (5.1%) had decreased VA due to glaucoma, IOL opacification, or age-related macular degeneration. Twelve eyes (20.7%) presented mild PCO with unchanged VA. Systemic arterial hypertension was reported by 45% of the patients, and in 3.5% of these cases this was associated with diabetes mellitus. CONCLUSION This study found the incidence of PCO to be 67% four years after phacoemulsification and Ioflex IOL implantation.
Attention and Executive Functioning Deficits in Liver-Transplanted Children

Aims. Liver-transplanted children have an increased risk for serious developmental problems. We examined attention and executive functioning and their relation to intelligence and several disease-related variables after transplantation. Methods. This is a monocentric, cross-sectional study with no reference group. Children's mean age at transplantation was 3.4±3.8 years (n=137, age 10.2±3.8 years). Assessment included attention and executive functioning (Test of Attentional Performance [TAP]/Test of Attentional Performance [children's version] [KITAP]) and intelligence (Wechsler Intelligence Scale for Children, 3rd edition/Kaufman Assessment Battery for Children). Results. In most TAP and KITAP Subscales, children scored in the lower normal range, but reaction times, errors, and omissions were significantly below the population mean. Most notable deficits became manifest in the subscales Sustained Attention and Working Memory where 47% respectively 38% of the present sample scored below the normal range. Most TAP and KITAP Subscales, particularly Alertness and Go/NoGo, were highly correlated with Wechsler Intelligence Scale for Children, 3rd edition and Kaufman Assessment Battery for Children Subscales indicating that liver-transplanted children with longer reaction times display lower intelligence scores. Regression analysis revealed that decelerated reaction times in the subscales TAP-Go/NoGo, Divided Attention (KITAP and TAP), and KITAP-Sustained Attention were associated with type of donation, duration of disease, age at transplantation, and sex (R2=0.14 to R2=0.25). Conclusion. Results provide evidence suggesting that liver-transplanted children are at risk of developmental deficits regarding attention and executive functioning. Especially intrinsic alertness and working memory performance seem to be insufficient. This might result in deficient initiating, sustaining, and controlling of action. In summary, results demonstrate the need for an early and comprehensive developmental screening after pediatric liver transplantation.
Object Recognition in Probabilistic 3-d Volumetric Scenes

A new representation of 3-d object appearance from video sequences has been developed over the past several years (Pollard and Mundy, 2007; Pollard, 2008; Crispell, 2010), which combines the ideas of background modeling and volumetric multi-view reconstruction. In this representation, Gaussian mixture models for intensity or color are stored in volumetric units. This 3-d probabilistic volume model, PVM, is learned from a video sequence by an on-line Bayesian updating algorithm. To date, the PVM representation has been applied to video image registration (Crispell et al., 2008), change detection (Pollard and Mundy, 2007) and classification of changes as vehicles in 2-d only (Mundy and Ozcanli, 2009; Ozcanli and Mundy, 2010). In this paper, the PVM is used to develop novel viewpoint-independent features of object appearance directly in 3-d. The resulting description is then used in a bag-of-features classification algorithm to recognize buildings, houses, parked cars, parked aircraft and parking lots in aerial scenes collected over Providence, Rhode Island, USA. Two approaches to feature description are described and compared: 1) features derived from a PCA analysis of model neighborhoods; and 2) features derived from the coefficients of a 3-d Taylor series expansion within each neighborhood. It is shown that both feature types explain the data with similar accuracy. Finally, the effectiveness of both feature types for recognition is compared for the different categories. Encouraging experimental results demonstrate the descriptive power of the PVM representation for object recognition tasks, promising successful extension to more complex recognition systems
Dependency Hashing for n-best CCG Parsing

Optimising for one grammatical representation, but evaluating over a different one is a particular challenge for parsers and n-best CCG parsing. We find that this mismatch causes many n-best CCG parses to be semantically equivalent, and describe a hashing technique that eliminates this problem, improving oracle n-best F-score by 0.7% and reranking accuracy by 0.4%. We also present a comprehensive analysis of errors made by the C&C CCG parser, providing the first breakdown of the impact of implementation decisions, such as supertagging, on parsing accuracy.