Miracle-dz/UniFAR-FTUs huggingface dataset:
Transformation of yEPC business process models to YAWL

Model transformations are frequently applied in business process modeling to bridge between languages on a different level of abstraction and formality. In this paper, we define a transformation between yEPCs which is an extension to the popular Event-driven Process Chain (EPC) and YAWL, a formal workflow language that is able to capture all of the 20 workflow patterns reported in [1]. We illustrate the transformation challenges and present a suitable transformation algorithm. The benefit of the transformation is threefold. First, it clarifies the semantics of yEPCs via a mapping to YAWL. Second, the deployment of yEPC business process models as workflows is simplified. Thirdly, yEPC models can be analyzed with YAWL verification tools.
Towards On-Line Trajectory Computation

This paper proposes a new way of trajectory generation for industrial manipulators. A real-time algorithm for the interpolation of synchronized and time-optimal manipulator trajectories with arbitrary input values is presented. The method has been developed and implemented for multi-sensor systems, where sensor events can abruptly change desired target positions and trajectory constraints from one control cycle to another (i.e. maximum velocities, accelerations, and jerks). This work mainly presents a simple on-line second-order-trajectory generator and gives an outlook to a third-order-trajectory generator. Both algorithms generate time-optimal position progressions and require computational three steps: A. determination of the degree of freedom that requires the longest execution time, B. synchronization of all degrees of freedom by adapting maximum velocities and accelerations, C. calculation of new output values (position, velocity, and acceleration). Experimental results as well as a description of how to integrate this approach into manipulation control architectures are presented
A Runtime Profile Method for Dynamic Binary Translation Using Hardware-Support Technique

Profile data is valuable for identifying program hotspots and guiding optimizations. Traditional software profiling techniques incur significant overhead and are not suitable for DBT (Dynamic Binary Translation) systems. Hardware can support profile collection through either counters or timer interrupts that permit collection of statistical samples via software. Most hardware-support profiling systems can only achieve either high profile accuracy or low overhead. In this paper, we propose a novel profile approach on DBT using hardware support technique to achieve rapidly and accurately collecting profile information with minimal runtime overhead. This approach makes use of instrumentation code and a set of profiling hardware which supports operations of updating counters. It is believed that such a software-hardware collaborative approach will serve to provide a strong foundation for optimizing DBT systems.
A randomised phase II study of conventional versus accelerated infusional chemotherapy with granulocyte colony-stimulating factor support in advanced breast cancer.

BACKGROUND Granulocyte colony-stimulating factor (G-CSF) allows cycles of conventional bolus chemotherapy to be accelerated with reduction in treatment time and a boost in dose intensity. Theoretically, this approach could be hazardous with infusional 5-fluorouracil (5-FU) chemotherapy, since G-CSF-stimulated neutrophil proliferation would be occurring in the face of continuous S-phase active 5-FU. We performed this phase II randomised study to compare the safety, tolerability and efficacy of conventional 3-weekly epirubicin, cyclophosphamide and continuous infusional 5-FU (infusional ECF) to an accelerated 2-weekly schedule with G-CSF support, in patients with advanced breast cancer. PATIENTS AND METHODS Twenty-seven patients were randomised. with 14 in the accelerated arm. Patients received bolus epirubicin 60 mg/m2 and cyclophosphamide 600 mg/m2 every 3 weeks (conventional arm) or every 2 weeks (accelerated arm) and 5-FU 200 mg/m2/day continuous infusion throughout. G-CSF 300 microg/day s.c. on days 10-12 was given each accelerated cycle. RESULTS There were no treatment delays secondary to inadequate neutrophil or platelet recovery in either arm, with higher median day 1 neutrophil counts for each cycle in the accelerated arm compared with the conventional arm. Eighty-six per cent of the planned conventional chemotherapy cycles and 82% of the planned accelerated cycles were given. There were no major differences in toxicity between the arms, with the most common grade 3 toxicities being alopecia and stomatitis. Eight patients developed neutropenic sepsis (five in the accelerated arm and three in the conventional arm). Ten patients (77%) responded in the conventional arm and nine (64%) in the accelerated arm. CONCLUSIONS Accelerated infusional ECF with limited G-CSF support is a feasible and well-tolerated regimen with rapid haematological recovery. A 50% increase in relative dose intensity of epirubicin and cyclophosphamide is achieved, while overall treatment time is reduced by 33%.
SPIRE: Supporting Parameter-Driven Interactive Rule Mining and Exploration

We demonstrate our SPIRE technology for supporting interactive mining of both positive and negative rules at the speed of thought. It is often misleading to learn only about positive rules, yet extremely revealing to find strongly supported negative rules. Key technical contributions of SPIRE including region-wise abstractions of rules, positive-negative rule relationship analysis, rule redundancy management and rule visualization supporting novel exploratory queries will be showcased. The audience can interactively explore complex rule relationships in a visual manner, such as comparing negative rules with their positive counterparts, that would otherwise take prohibitive time. Overall, our SPIRE system provides data analysts with rich insights into rules and rule relationships while significantly reducing manual effort and time investment required.
Multispectral Fluorescence Imaging

Multispectral fluorescence imaging (MSFI) is a rapidly growing field with broad applications in both preclinical and clinical settings. Application of this novel technology in small-animal imaging and microscopy produces enhanced sensitivity and reliable quantification and resolves multiple simultaneous signals. MSFI flow cytometry can quantify multiple fluorescent parameters with morphologic or subcellular spatial details on millions of cells. MSFI has the potential to improve the accuracy of disease detection or differentiation and intrasurgical metastatic diagnosis, guide neurosurgeries, and monitor treatment response.
Empirical capacity modeling and evaluation of delay tolerant network routing protocols

Delay tolerant networks under wireless intermittent settings have gathered growing research interests in recent years. There remains, however, a lacking of performance modelling results for DTN protocols. In this paper, we propose to model the system-level performance of DTN protocols using the Erlang B queueing model, and profile the performance metrics such as message delivery ratios under different traffic conditions using the system capacity measurements. A number of common DTN protocols are evaluated using a scenario based on map-based mobility under different settings.
A sense of community: A research agenda for software ecosystems

Software vendors lack the perspective to develop software within a software ecosystem. The inability to function in a software ecosystem has already led to the demise of many software vendors, leading to loss of competition, intellectual property, and eventually jobs in the software industry. In this paper we present a research agenda on software ecosystems to study both the technical and the business aspects of software engineering in vibrant ecosystems. The results of such research enable software vendors to develop software that is adaptable to new business models and new markets, and to make strategic choices that help a software vendor to thrive in a software ecosystem.
Integrative Moral Judgment: Dissociating the Roles of the Amygdala and Ventromedial Prefrontal Cortex

A decade's research highlights a critical dissociation between automatic and controlled influences on moral judgment, which is subserved by distinct neural structures. Specifically, negative automatic emotional responses to prototypically harmful actions (e.g., pushing someone off of a footbridge) compete with controlled responses favoring the best consequences (e.g., saving five lives instead of one). It is unknown how such competitions are resolved to yield “all things considered” judgments. Here, we examine such integrative moral judgments. Drawing on insights from research on self-interested, value-based decision-making in humans and animals, we test a theory concerning the respective contributions of the amygdala and ventromedial prefrontal cortex (vmPFC) to moral judgment. Participants undergoing fMRI responded to moral dilemmas, separately evaluating options for their utility (Which does the most good? ), emotional aversiveness (Which feels worse? ), and overall moral acceptability. Behavioral data indicate that emotional aversiveness and utility jointly predict “all things considered” integrative judgments. Amygdala response tracks the emotional aversiveness of harmful utilitarian actions and overall disapproval of such actions. During such integrative moral judgments, the vmPFC is preferentially engaged relative to utilitarian and emotional assessments. Amygdala-vmPFC connectivity varies with the role played by emotional input in the task, being the lowest for pure utilitarian assessments and the highest for pure emotional assessments. These findings, which parallel those of research on self-interested economic decision-making, support the hypothesis that the amygdala provides an affective assessment of the action in question, whereas the vmPFC integrates that signal with a utilitarian assessment of expected outcomes to yield “all things considered” moral judgments.
Probabilistic multilateral security model for ubiquitous multimedia services

We describe a security model we refer to as the probabilistic multilateral security model (P-MLSM). The P-MLSM is designed to analyze security issues in ubiquitous multimedia services, envisioned to be flexible digital systems built upon the global broadband network. There is interest on a broad range of security issues concerning such services. A comprehensive, flexible and reliable model that addresses these issues is greatly needed. The P-MLSM considers security as a multilateral mutual measure between different objectives, perspectives and knowledge concerning the system. We then describe a probabilistic nature of the P-MLSM. Lastly, via an example, we illustrate how various security related phenomena and design criteria can be analyzed using the model.
Genotype by environment interaction and stability analysis for grain yield of lentil genotypes.

The lentil (Lens culinaris Medik.) is an important cool-season crop and a valuable source of dietary protein and ranks seventh among grain legumes. Genotype by environment (GE) interaction is considered to be among the major factors limiting the efficiency of breeding programs. Eight improved lentil genotypes from the International Centre for Agricultural Research in the Dry Areas (ICARDA), one commercial cultivar (‘Gachsaran’), and one local landrace were evaluated at five locations in two growing seasons. The combined analysis of variance for grain yield of the 10 lentil genotypes showed mean squares of location, genotype, year × location, genotype × location and genotype × year × location were significant. According to coefficient of variation (CV) and stability variance (SHUK) parameters, genotype G7 was the most stable one while based on priority index (PI), desirability index (DI) and regression linear model, genotypes G8 and G9 were the most stable ones. The partitioning general pattern of relationships among stability parameters and lentil genotypes through principle component (PC) analysis indicated that the first two PCs explained 79% (PC1 = 55% and PC2 = 24%) of the total variation. Plotting the scores of the first two PCs in one graph indicated that DI and PI stability parameters were grouped with mean yield and showed dynamic stability. Therefore, these statistics are acceptable for agronomists who prefer to use a highyielding genotype. Finally, the best genotypes in this study were G8 (ILL 6037) and G9 (ILL 6199) which produced high mean yield and were the most stable based on the most stability statistics and therefore recommended for release as commercial cultivars.
A Contrast Measure based Approach to Binaries Handwritten Documents through MRF

binarization plays important role to preserve the historical document. Recently number of researcher present numerous techniques of document binarization that can vary in sensitivity, quality and some more control parameters. The document image binarization focuses on extracting the text and background of the image. In doing this the edge detection approach also played the crucial role. In this paper a framework for digitations of historical physical document has been proposed. This framework suggest to use Markov random function to evaluate contrast of pixel and try to overcome the problem of appearance of a single document that can vary greatly depending on factors such as lighting, viewing angle. Following that, proposed framework uses this energy to differentiate foreground and background ink. Final binaries image document have significant enhance in PSNR (db) value. Proposed scheme use DIBCO (2013) for evaluation and validation.
Human Body Posture via Hierarchical Evolutionary Optimization

This paper presents an evolutionary approach to estimating upper-body posture from multi-view markerless sequences. We fit a 24-dof skeleton model to sparse 3-D stereo data from an array of cameras. We use a particle swarm optimization algorithm which is intrinsically parallel, can incorporate constraints and does not require motion models. We subdivide the high-dimensional search space based on limb dynamics from application sequences and perform hierarchical fitting from the least to the most uncertain body parts. We show experimentally the advantages of this scheme against non-hierarchical optimization in terms of sharper error decrease. We report results with 3-D scanner data of a model human and noisy, calibrated stereo disparity maps of a real videoconferencing scene. 1 Introduction and motivation This paper presents an evolutionary approach to estimating upper-body posture from multi-view markerless sequences. Our reference application is immersive videoconferencing, which aims to create an impression of presence, or co-location, among a group of participants situated at different geographical locations but meeting in a common, augmented reality space [17, 18, 19]. Vital for presence are 3-D visual cues, e.g., rendering figures consistently with the instantaneous viewer’s viewpoint. This requires estimates of the 3-D structure of the scene, which is typically done by multiview disparity analysis (see [1] and references above). Disparity maps (DMs) allow IBR-oriented systems to perform novel view synthesis consistent with the target viewpoint. A major problem is to achieve in real time DMs of the moving human body with sufficiently high quality, as typical immersive environments use large screens. Notice that videoconferencing setups rarely allow high numbers of cameras surrounding the scene [2]; occlusions created by gestures make DMs sparse. Assuming suitable computing power, integrating bottom-up disparities with body models can yield superior quality DMs. Previously, only local DM enhancement has been attempted by infilling [3, 4]. In order to further this idea, we intend to fit human body models to DMs of multi-view videoconferencing sequences. This paper concentrates on the first step, skeleton fitting for posture estimation, and introduces a novel evolutionary approach to the high-dimensional optimization problems typical of body model fitting with markerless sequences. 1
Dynamic attention map by Ising model for human face detection

We present a method to narrow down the search space for scale-invariant human face detection, which uses a dynamic attention map implemented by Ising dynamics. Combining the proposed method and the scale-invariant face detection method which is based on both higher-order local autocorrelation (HLAC) features of a log-polar image and linear discriminant analysis for "face" and "not face" classification, it is shown that the "face" region in the image can be detected faster with some experiments.
Investigation of Efficiency and Droop Behavior Comparison for InGaN/GaN Super Wide-Well Light Emitting Diodes Grown on Different Substrates

In this work, efficiency droop of InGaN/GaN multiple-quantum-well LEDs with super wide well (WW) is discussed by comparing the external quantum efficiency (EQE) of GaN grown on sapphire and FS-GaN substrates. The luminescence and electrical characteristics of these WW LEDs are also experimentally and theoretically analyzed. With the increase of well width from 3 nm to 6 nm, high V-pits density and more strain relaxation are found in WW LED on sapphire, which exhibits greatly reduced peak efficiency but almost negligible droop behavior. In contrast, despite a larger polarization field, WW LED on FS-GaN shows obviously enhanced peak efficiency and comparable droop compared to the counterpart with 3-nm well. The Auger recombination probably dominates the mechanism of efficiency droop rather than defect-related nonradiative recombination or polarization effect in the WW LED on both sapphire and FS-GaN, especially at high current density.
Directed cell growth and alignment on protein-patterned 3D hydrogels with stereolithography

The stereolithography apparatus (SLA) is a computer-assisted, three-dimensional (3D) printing system that is gaining attention in the medical field for the fabrication of patient-specific prosthetics and implants. An attractive class of implantable biomaterials for the SLA is photopolymerisable hydrogels because of their resemblance to soft tissues and intrinsic support of living cells. However, most laser-based SLA machines lack the minimum feature size required to imitate cell growth and alignment patterns in complex tissue architecture. In this study, we demonstrate a simple method for aligning cells on 3D hydrogels by combining the micro-contact printing (µCP) technique with the stereolithographic process. Fibronectin modified with acrylate groups was printed on glass coverslips with unpatterned, 10, 50, and 100 µm wide line patterns, which were then transferred to hydrogels through chemical linkages during photopolymerisation. Fibroblasts cultured on protein-printed 3D hydrogels aligned in the direction of the patterns, as confirmed by fast Fourier transform and cell morphometrics.
Early migration of tibial components is associated with late revision

Purpose We performed two parallel systematic reviews and meta-analyses to determine the association between early migration of tibial components and late aseptic revision. Methods One review comprised early migration data from radiostereometric analysis (RSA) studies, while the other focused on revision rates for aseptic loosening from long-term survival studies. Thresholds for acceptable and unacceptable migration were determined according to that of several national joint registries: < 5% revision at 10 years. Results Following an elaborate literature search, 50 studies (involving 847 total knee prostheses (TKPs)) were included in the RSA review and 56 studies (20,599 TKPs) were included in the survival review. The results showed that for every mm increase in migration there was an 8% increase in revision rate, which remained after correction for age, sex, diagnosis, hospital type, continent, and study quality. Consequently, migration up to 0.5 mm was considered acceptable during the first postoperative year, while migration of 1.6 mm or more was unacceptable. TKPs with migration of between 0.5 and 1.6 mm were considered to be at risk of having revision rates higher than 5% at 10 years. Interpretation There was a clinically relevant association between early migration of TKPs and late revision for loosening. The proposed migration thresholds can be implemented in a phased, evidence-based introduction of new types of knee prostheses, since they allow early detection of high-risk TKPs while exposing only a small number of patients.
Herschel discovery of a new class of cold, faint debris discs

We present Herschel PACS 100 and 160 μm observations of the solar-type stars α Men, HD 88230 and HD 210277, which form part of the FGK stars sample of the Herschel open time key programme (OTKP) DUNES (DUst around NEarby S tars). Our observations show small infrared excesses at 160 μm for all three stars. HD 210277 also shows a small excess at 100 μm, while the 100 μ mfl uxes of α Men and HD 88230 agree with the stellar photospheric predictions. We attribute these infrared excesses to a new class of cold, faint debris discs. Both α Men and HD 88230 are spatially resolved in the PACS 160 μm images, while HD 210277 is point-like at that wavelength. The projected linear sizes of the extended emission lie in the range from ∼115 to ≤250 AU. The estimated black body temperatures from the 100 and 160 μm fluxes are 22 K, and the fractional luminosity of the cold dust is Ldust/L� ∼ 10 −6 , close to the luminosity of the solar-system’s Kuiper belt. These debris discs are the coldest and faintest discs discovered so far around mature stars, so they cannot be explained easily invoking “classical” debris disc models.
Solutions of quantum Yang-Baxter equation related to $U_q (gl(2))$ algebra and associated integrable lattice models

A coloured braid group representation (CBGR) is constructed with the help of some modified universal ${\cal R}$-matrix, associated to $U_q(gl(2))$ quantised algebra. Explicit realisation of Faddeev-Reshetikhin-Takhtajan (FRT) algebra is built up for this CBGR and new solutions of quantum Yang-Baxter equation are subsequently found through Yang-Baxterisation of FRT algebra. These solutions are interestingly related to nonadditive type quantum $R$-matrix and have a nontrivial $q\rightarrow 1$ limit. Lax operators of several concrete integrable models, which may be considered as some `coloured' extensions of lattice nonlinear Schr${\ddot {\rm o}}$dinger model and Toda chain, are finally obtained by taking different reductions of such solutions.
Performance As Political Act The Embodied Self

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