Miracle-dz/UniFAR-FTUs huggingface dataset:
Time-Domain Analysis of Web Cache Filter Effects ( Extended Version )

This paper uses trace-driven simulation to study the traffic arrival process for Web workloads in a simple Web proxy caching hierarchy. Both empirical and synthetic Web proxy workloads are used in the study. The simulation results show that a Web cache reduces both the peak and the mean request arrival rate for Web traffic workloads, while the variance-to-mean ratio of the filtered traffic typically increases, depending on the input arrival process and the configuration of the cache. If the input traffic is self-similar, then the filtered request traffic remains self-similar, with the same Hurst parameter, though with reduced mean. Finally, we find that a Gamma distribution provides a flexible and robust means of modeling aggregate workloads in hierarchical Web caching architectures, for a broad range of workload characteristics and Web proxy cache sizes. To demonstrate the generality and effectiveness of the modeling approach, we present a detailed example of filter effects and traffic superposition in a two-level Web caching hierarchy with heterogenous input workloads. The Gamma modeling results match well with the results from trace-driven simulations.
Domain-Specific Word Sense Disambiguation combining corpus based and wordnet based parameters

We present here an algorithm for domain specific all-words WSD. The scoring function to rank the senses is inspired by the quadratic energy expression of Hopfield network, a well studied expression in neural networks. The scoring function is employed by a greedy iterative disambiguation algorithm that uses only the wordsdisambiguated-so-far to disambiguate the current word in focus. The combination of the algorithm and the scoring function seems to perform well in two ways: (i) the algorithm beats the domain corpus baseline which is typically hard to beat, and (ii) the algorithm is a good balance between efficiency and performance. The latter fact is established by comparing the iterative algorithm with a PageRank like disambiguation algorithm and an exhaustive sense graph search algorithm. The accuracy values of approximately 69% (F1-score) in two different domainswhere the domain corpus baseline stands at 65%compares very well with the state of the art.
Pharmacotherapy of Childhood Obesity

This review provides a comparative analysis of the benefits of lifestyle intervention and pharmacotherapy in adults and children using previously published meta-analyses, as well as new data published within the past 2 years. The manuscript critically summarizes the potential risks of various established (orlistat, sibutramine, and metformin) and new (rimonabant) pharmacologic agents and presents a conceptual approach to selection of patients for pharmacotherapy, tailored drug selection, and timing of intervention. Forty-five years after an amphetamine was approved for the treatment of obesity in adults, an expert in the field characterized a new therapeutic formulation as being effective and long-lasting, posing “little risk” (1). Four years later, others (2) “confirmed the weight-reducing efficacy and good tolerability” of the drug and noted that adverse effects were “generally mild and transient. ” The drug in question was dexfenfluramine, which was removed from the commercial market 18 months after its subsequent U.S. Food and Drug Administration approval owing to the development of valvular heart disease and primary pulmonary hypertension in a subset of patients (3,4). This experience and many others (5) have forced us to think long and hard before making sweeping recommendations about the use of behavior-modifying drugs for the treatment of obesity. Yet, the pediatric community confronts a serious problem: the surge of metabolic complications in obese adolescents, including impaired glucose tolerance (IGT) and type 2 diabetes, hypertension, dyslipidemia, ovarian hyperandrogenism, hepatic steatosis, and sleep apnea (6). Two recent studies highlight the concern. First (7), despite regular lifestyle counseling in a university-based clinic, one-third of obese teenagers with profound insulin resistance and IGT developed type 2 diabetes during a follow-up period of 21 months. Second (8), among Pima-Indian children and adolescents with type 2 diabetes, the rate of development of end-stage renal disease was proportional to the duration of diabetes, …
Weaving Together Theory, Research, Practice and Teaching: A Four-Dimensional Approach to Negotiation and Conflict Management Work

In this article, we suggest a new paradigm for writing on negotiation and conflict management that integrates theory, research, practice, and teaching. While there might be an implicit understanding that such integration is key to advancing the field, we make this explicit. Highlighting the critical aspects of this relationship, we call for a four-dimensional approach to writing in the negotiation and conflict management field. We suggest that adopting such systematic and intentional exploration of all four dimensions should be the default approach to writing on negotiation and conflict management topics. We provide brief summaries of the articles presented in the special issue and discuss the essence, origins, and weighting of the four dimensions in each paper. Finally, we suggest that this four-dimensional approach might have ramifications for the field's work, in areas other than writing.
Experience-Dependent Strengthening of Drosophila Neuromuscular Junctions

The genetic analysis of larval neuromuscular junctions (NMJs) of Drosophila has provided detailed insights into molecular mechanisms that control the morphological and physiological development of these glutamatergic synapses. However, because of the chronic defects caused by mutations, a time-resolved analysis of these mechanisms and their functional relationships has been difficult so far. In this study we provide a first temporal map of some of the molecular and cellular key processes, which are triggered in wild-type animals by natural larval locomotor activity and then mediate experience-dependent strengthening of larval NMJs. Larval locomotor activity was increased either by chronically rearing a larval culture at 29°C instead of 18 or 25°C or by acutely transferring larvae from a culture vial onto agar plates. Within 2 hr of enhanced locomotor activity, NMJs showed a significant potentiation of signal transmission that was rapidly reversed by an induced paralysis of the temperature-sensitive mutant parats1. Enhanced locomotor activity was also associated with a significant increase in the number of large subsynaptic translation aggregates. After 4 hr, postsynaptic DGluR-IIA glutamate receptor subunits started to transiently accumulate in ring-shaped areas around synapses, and they condensed later on, after chronic locomotor stimulation at 29°C, into typical postsynaptic patches. These NMJs showed a reduced perisynaptic expression of the cell adhesion molecule Fasciclin II, an increased number of junctional boutons, and significantly more active zones. Such temporal mapping of experience-dependent adaptations at developing wild-type and mutant NMJs will provide detailed insights into the dynamic control of glutamatergic signal transmission.
A PRECONDITIONER FOR THE FETI-DP FORMULATION OF THE STOKES PROBLEM WITH MORTAR METHODS

We consider a FETI-DP formulation for the Stokes problem on nonmatching grids in 2D. The FETI-DP method is a domain decomposition method that uses Lagrange multipliers to match the solutions continuously across the subdomain boundaries in the sense of dual-primal variables. We use the mortar matching condition as the continuity constraints for the FETI-DP formulation. Moreover, to satisfy the compatibility condition of the local Stokes problem and to solve the Stokes problem efficiently, redundant continuity constraints are introduced. Lagrange multipliers corresponding to the redundant constraints are treated as primal variables in the FETI-DP formulation. We propose a preconditioner for the FETI-DP operator, which is derived from a dual norm on the Lagrange multiplier space. The dual norm is obtained from a duality pairing between the Lagrange multiplier space and the velocity function space restricted on the nonmortar sides. Then, we show that the condition number of the preconditioned FETI-DP operator is bounded by C maxi=1,··· ,N { (1 + log (Hi/hi)) 2 } , where Hi and hi are the subdomain size and the mesh size, respectively, and C is a constant independent of Hi’s and hi’s.
Immunoglobulin β Signaling Regulates Locus Accessibility for Ordered Immunoglobulin Gene Rearrangements

The antigen receptor gene rearrangement at a given locus is tightly regulated with respect to cell lineage and developmental stage by an ill-defined mechanism. To study the possible role of precursor B cell antigen receptor (pre-BCR) signaling in the regulation of the ordered immunoglobulin (Ig) gene rearrangement during B cell differentiation, a newly developed system using mu heavy (H) chain membrane exon (microm)-deficient mice was employed. In this system, the antibody-mediated cross-linking of Igbeta on developmentally arrested progenitor B (pro-B) cells mimicked pre-BCR signaling to induce early B cell differentiation in vivo. Analyses with ligation-mediated polymerase chain reaction revealed that the Igbeta cross-linking induced the redirection of Ig gene rearrangements, namely, the suppression of ongoing rearrangements at the H chain locus and the activation of rearrangements at the light (L) chain locus. Upon the cross-linking, the kappaL chain germline transcription was found to be upregulated whereas the V(H) germline transcription was promptly downregulated. Notably, this alteration of the accessibility at the H and L chain loci was detected even before the induction of cellular differentiation became detectable by the change of surface phenotype. Thus, the pre-BCR signaling through Igbeta appears to regulate the ordered Ig gene rearrangement by altering the Ig locus accessibility.
Effective Actions for Spin 0,1/2,1 in Curved Spacetimes

We calculate the effective potentials for scalar, Dirac and Yang-Mills fields in curved backgrounds using a new method for the determination of the heat kernel involving a re-summation of the Schwinger-DeWitt series. Self-interactions are treated both to one loop order as usual and slightly beyond one-loop order by means of a mean-field approximation. The new approach gives the familiar result for scalar fields, the Coleman-Weinberg potential plus corrections such as the leading-log terms, but the actual calculation is much faster. We furthermore show how to go systematically to higher loop order. The Schwarzschild space-time is used to exemplify the procedure. Next we consider phase transitions and we show that for a classical critical point to be a critical point of the effective potential too, certain restrictions must be imposed on as well its value as on the form of the classical potential and the background geometry. We derive this extra condition for scalar fields with arbitrary self couplings and comment on the case of fermions and gauge bosons too. Critical points of the effective action which are not there classically are also discussed. This has implications for inflation. The renormalised energy-momentum tensor for a scalar field with arbitrary self-interaction and non-minimal coupling to the gravitational background is also calculated to this improved one-loop order as is the resulting conformal anomaly. Conditions for the violation of energy conditions are described. Finally we discuss metric fluctuations and a self-consistency condition for such fluctuations is written down for spin 0,1/2,1 quantum fields. This is of importance for the study of cosmic density fluctuations. All calculations are performed in the physically relevant case of d=4 dimensions.
Automatic Adaptive Metadata Generation for Image Retrieval

In this paper, we present an automatic adaptive metadata generation system using content analysis of sample images. First, our system screens out improper query images for metadata generation by using CBIR that computes structural similarity between sample images and query images. Second, the system generates metadata by selecting sample indexes attached to the sample images that are structurally similar to query images. Third, the system detects improper metadata and re-generates proper metadata by identifying wrongly selected metadata. Our system has improved metadata generation by 23.5% on recall ratio and 37% on fallout ratio rather than just using the results of content analysis.
Implementing Digital Signature based Secured Card System for Online Transactions

The RSA and other allied cryptographic mechanisms are widely used to provide security to the data during any online web based transactions. It has been proved that the Zhang proposed RSA cryptosystem could be easily cracked by an intruder. So, the security of the information in the network is becoming an important aspect in any web based communications. A new mechanism based on RSA to further enhance security is to make use of digital signatures to ensure the receiver that the message was created by a known sender, and that it was not altered in transit. In this paper digital signature mechanism based on the proposed scheme by Lin & Lei is implemented to describe the improved security given to the information while they are in transit during web based online transactions. It provides the security between two servers in IIS, which can be further improved and deployed in various technologies.
Impact of Immersive Technology Applied in Computer Graphics Learning

In this paper we describe an application of immersive technology to a specific learning context. In this case, a Virtual Reality environment was created for the purpose of delivering lesson content in a Computer Graphics discipline for students of engineering and architecture courses. The virtual environment was designed to demonstrate lighting model algorithms and aspects of 3D rendering techniques. An experiment was carried out in which students were divided in two groups that viewed the same lesson content in two versions: immersive and non-immersive version. In this pilot study we describe the application in details and discuss preliminary results based on analysis of the participants perceptions collected through presence questionnaire. Our results revealed that the experimental group using the immersive version showed higher levels of presence and involvement as compared with the control group.
Using Temporal Business Rules to Synthesize Service Composition Process Models

Based on our previous work on the conformance verification of service compositions, in this paper we present a framework and associated techniques to generate the process models of a service composition from a set of temporal business rules. Dedicated techniques including path-finding, branch structure introduction, and parallel structure introduction are used to semiautomatically synthesize the process models from the semantics-equivalent Finite State Automata of the rules. These process models naturally satisfy the prescribed behavioral constraints of the rules. With the domain knowledge encoded in the temporal business rules, an executable service composition program, e.g. a BPEL program, can be further generated from the process models.
Breaking Transposition Cipher with Genetic Algorithm

The aim of the research presented in this paper is to investigate the use of genetic algorithm in the cryptanalysis of transposition cipher. The applicability of genetic algorithms for searching the key space of encryption scheme is studied. The frequency of bigram and trigram is used as an essential factor in objective function. Ill. 1, bibl. 8 (in Lithuanian; summaries in English, Russian and Lithuanian).
Modeling and Analysis of Rotating Seal and Friction Damper; Calculation of Damper Stiffness

In this paper modeling of rotating seal and friction damper is explained using NX7.5 and ANSYS130x64 software. Modeling of any component is very important in analysis of the component. Analysis of rotating seal and damper is carried out using ANSYS130x64 to calculate stiffness of friction damper. Various authors explained methods to calculate stiffness of friction damper. In this paper a method is proposed to calculate stiffness of friction damper.
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Koufoulis, Athanasios, MSc. , Computer Science & Engineering Department, University of Ioannina, Greece. June, 2015. Routing in large scale social opportunistic networks Supervisor: Evangelos Papapetrou. Opportunistic networks are abstract networks where no infrastructure is required in order to ferry data among nodes. In opportunistic networks, real human trace are widely used for evaluating and tuning routing algorithms designed for these networks. Those traces collected by recording human movement and interaction through wireless devises. The main downside of these datasets is their small scale. To tackle this problem, recent e orts focus on producing synthetic traces that inherit the properties of real ones. More speci cally, so far, the focus is on replicating the distributions of contact duration and inter-contact times in an e ort to increase the realism of such traces. All of those models focus in capturing a realistic mobility model for human movement in order to produce contact distribution similar to real human traces. Real human traces as well as proposed synthetic models, exhibit of small degree of separation among nodes which eventually a ects routing process, and so, evaluation results is optimistic to be generalized. We show that it is reasonable to assume an increased degree of separation when considering large scale networks. Since this problem has not been tackled so far, we propose a new paradigm for developing synthetic traces. We do not concentrate on capturing a human mobility model, but use social networks schemes in order to produce traces. We focus on increasing the degree of user separation while at the same time keeping all social characteristics of real human traces. Additionally, we evaluate and show that state-of-the-art routing algorithm face significant performance challenges in networks with increase degree of separation among nodes, in compare to their results in real human traces. In order to overcome this performance degradation in routing, we introduce a new algorithm that makes di erent routing decisions, regardless of its distance with the destination of each packet. Algorithm uses di erent utility metrics to evaluate nodes, for their ability to deliver a packet and for their ability to spread packet e ciently across the
Root Adaptive Responses to Aluminum-Treatment Revealed by RNA-Seq in Two Citrus Species With Different Aluminum-Tolerance

Seedlings of aluminum (Al)-tolerant Citrus sinensis and Al-intolerant Citrus grandis were fertigated daily with nutrient solution containing 0 and 1.0 mM AlCl3●6H2O for 18 weeks. The Al-induced decreases of biomass and root total soluble proteins only occurred in C. grandis, demonstrating that C. sinensis had higher Al-tolerance than C. grandis. Under Al-treatment, C. sinensis roots secreted more citrate and malate than C. grandis ones; less Al was accumulated in C. sinenis than in C. grandis leaves. The Al-induced reduction of phosphorus was lesser in C. sinensis roots and leaves than in C. grandis ones, whereas the Al-induced increase of sulfur was greater in C. sinensis roots and leaves. Using RNA-seq, we isolated 1905 and 2670 differentially expressed genes (DEGs) from Al-treated C. sinensis than C. grandis roots, respectively. Among these DEGs, only 649 DEGs were shared by the two species. Further analysis suggested that the following several aspects conferred C. sinensis higher Al-tolerance: (a) Al-treated C. sinensis seedlings had a higher external Al detoxification capacity via enhanced Al-induced secretion of organic acid anions, a higher antioxidant capacity and a more efficient chelation system in roots; (b) Al-treated C. sinensis seedlings displayed a higher level of sulfur in roots and leaves possibly due to increased uptake and decreased export of sulfur and a higher capacity to maintain the cellular phosphorus homeostasis by enhancing phosphorus acquisition and utilization; (c) Cell wall and cytoskeleton metabolism, energy and carbohydrate metabolism and signal transduction displayed higher adaptative responses to Al in C. sinensis than in C. grandis roots; (d) More upregulated than downregulated genes related to fatty acid and amino acid metabolisms were isolated from Al-treated C. sinensis roots, but the reverse was the case for Al-treated C. grandis roots. These results provide a platform for further investigating the roles of genes possibly responsible for citrus Al-tolerance.
Constructing Time Decompositions for Analyzing Time-Stamped Documents

Extraction of sequences of events from news and other documents based on the publication times of these documents has been shown to be extremely effective in tracking past events. This paper addresses the issue of constructing an optimal decomposition of the time period associated with a given document set, i.e., a decomposition with the smallest number of subintervals, subject to no or limited loss of information. We introduce the notion of the compressed interval decomposition, where each subinterval consists of consecutive time points having identical information content. We define optimality, and show that any optimal information preserving decomposition of the time period is a refinement of the compressed interval decomposition. We define several special classes of measure functions (functions that compute the significant information from document sets), based on their effect on the information computed as document sets are combined. These classes are used in developing algorithms for computing an optimal information preserving decomposition of the time period of a given document set. We also define the notion of information loss of a time decomposition of a given document set and give an efficient algorithm for computing an optimal lossy decomposition. We discuss the effectiveness of our algorithms on the Reuters–21578, Distribution 1.0 data set and a subset of Medline abstracts.