Miracle-dz/UniFAR-FTUs huggingface dataset:
Semantic concepts in BPMN 2.0

Public Sector has a wide range of information to share. However, there is lack of interoperability in the information exchange between organizations due to the different terminologies and techniques adopted by business entities. Combining Semantic technologies with Management Information Systems is a growing research area. Business Process Management Notation is a good practice for examining these fields. In this work, we develop a business process model of a real-life scenario in a semantic representation and define the generic semantic concepts using the Business Process Management Notation.
Dense 3D semantic mapping of indoor scenes from RGB-D images

Dense semantic segmentation of 3D point clouds is a challenging task. Many approaches deal with 2D semantic segmentation and can obtain impressive results. With the availability of cheap RGB-D sensors the field of indoor semantic segmentation has seen a lot of progress. Still it remains unclear how to deal with 3D semantic segmentation in the best way. We propose a novel 2D-3D label transfer based on Bayesian updates and dense pairwise 3D Conditional Random Fields. This approach allows us to use 2D semantic segmentations to create a consistent 3D semantic reconstruction of indoor scenes. To this end, we also propose a fast 2D semantic segmentation approach based on Randomized Decision Forests. Furthermore, we show that it is not needed to obtain a semantic segmentation for every frame in a sequence in order to create accurate semantic 3D reconstructions. We evaluate our approach on both NYU Depth datasets and show that we can obtain a significant speed-up compared to other methods.
Asymptotically Optimal Policies for Wireless Networks with Rechargeable Batteries

We consider the problem of cross-layer resource allocation for single-hop, time-varying, wireless networks operating with rechargeable batteries under general arrival, channel and recharge processes. The objective is to maximize total system utility, as a function of the long-term rate achieved per link, while satisfying energy and power constraints. A policy with decoupled admission control and power allocation decisions is proposed that achieves asymptotic optimality for sufficiently large battery capacity to maximum power ratio (explicit bounds are provided). This policy is particularly suitable for satellite downlinks or sensor networks, which are most likely to satisfy the above condition. An extension to multihop networks is briefly described as well.
Psychosocial Well-Being in Children of Same-Sex Parents: A Longitudinal Analysis of Familial Transitions

Families in the United States are increasingly diverse, which has given rise to questions about the consequences these new family forms have for children’s outcomes. This study uses a life course perspective to examine the association between family transitions, nontraditional family structures (with particular attention to same-sex parent families), and children’s psychosocial well-being. The Early Childhood Longitudinal Study–Kindergarten cohort was used to examine children’s externalizing well-being, internalizing well-being, and interpersonal skills. Results indicate that nontraditional family structures are associated with poorer psychosocial well-being, but this is largely accounted for by changes and transitions experienced in the creation of new families. The findings provide a critical look at the assumptions embedded in arguments focused solely on family structure, and joins other research in calling attention to the importance of family processes for understanding the well-being of children.
Body Sensor Network Based Context Aware QRS Detection

In this paper, a body sensor network (BSN) based context aware QRS detection scheme is proposed. The algorithm uses the context information provided by the body sensor network to improve the QRS detection performance by dynamically selecting the leads with best SNR and taking advantage of the best features of two complementary detection algorithms. The accelerometer data from the BSN are used to classify the patients' daily activity and provide the context information. The classification results indicate both the type of the activities and their corresponding intensity, which is related to the signal/noise ratio of the ECG recordings. Activity intensity is first fed to lead selector to eliminate the leads with low SNR, and then is fed to a selector for selecting a proper QRS detector according to the noise level. MIT-BIH noise stress test database is used to evaluate the algorithms
STABILITY ANALYSIS AND CONTROL DESIGN FOR LPV SYSTEMS USING HOMOGENEOUS POLYNOMIAL PATH DEPENDENT LYAPUNOV FUNCTIONS

This paper presents LMI conditions for stability analysis and synthesis of robust and gainscheduled state feedback controllers for discrete-time linear parameter-varying (LPV) systems. It is assumed that the system matrices have a homogeneous polynomial dependence of arbitrary degree on the time-varying parameters. The parameters are assumed to vary inside a polytope and have known bounds on their rate of variation. The geometric properties of the polytopic domain are exploited to derive a finite set of linear matrix inequalities (LMIs) that take into account the bounds on the rates of variation of the scheduling parameters. The LMI conditions are obtained using a quadratic in the state Lyapunov function with a homogeneous polynomial dependence on the scheduling parameters at successive instants of time. Numerical results show the benefits of the proposed approach. Keywords— Time-varying systems, discrete-time systems, stability analysis, control design, Lyapunov function, LMI conditions. Resumo— Este artigo apresenta condições em termos de LMIs para análise de estabilidade e śıntese de controladores de realimentação de estados robustos e escalonados para sistemas lineares discretos a parâmetros variantes no tempo (LPV). As matrizes do sistema LPV são funções polinomiais homogêneas de grau arbitrário dos parâmetros variantes no tempo, chamados parâmetros escalonados. Assume-se que os parâmetros variam dentro de um politopo e que um limitante sobre a sua taxa de variação máxima é conhecido. As propriedades geométricas do domı́nio politópico são utilizadas para gerar um conjunto finito de desigualdades matriciais lineares (LMIs) que levam em conta a taxa de variação do parâmetros escalonados. As LMIs são derivadas utilizando-se uma função de Lyapunov com dependência polinomial homogênea dos parâmetros escalonados em instantes sucessivos de tempo. Simulações numéricas ilustram os benef́ıcioss das técnicas propostas. Palavras-chave— Sistemas variantes no tempo, sistemas discretos no tempo, análise de estabilidade, projeto de controladores, função de Lyapunov, condições LMIs.
Dissociable Memory Traces within the Macaque Medial Temporal Lobe Predict Subsequent Recognition Performance

Functional magnetic resonance imaging (fMRI) studies have revealed that activity in the medial temporal lobe (MTL) predicts subsequent memory performance in humans. Because of limited knowledge on cytoarchitecture and axonal projections of the human MTL, precise localization and characterization of the areas that can predict subsequent memory performance are benefited by the use of nonhuman primates in which integrated approach of the MRI- and cytoarchiture-based boundary delineation is available. However, neural correlates of this subsequent memory effect have not yet been identified in monkeys. Here, we used fMRI to examine activity in the MTL during memory encoding of events that monkeys later remembered or forgot. Application of both multivoxel pattern analysis and conventional univariate analysis to high-resolution fMRI data allowed us to identify memory traces within the caudal entorhinal cortex (cERC) and perirhinal cortex (PRC), as well as within the hippocampus proper. Furthermore, activity in the cERC and the hippocampus, which are directly connected, was responsible for encoding the initial items of sequentially presented pictures, which may reflect recollection-like recognition, whereas activity in the PRC was not. These results suggest that two qualitatively distinct encoding processes work in the monkey MTL and that recollection-based memory is formed by the interplay of the hippocampus with the cERC, a focal cortical area anatomically closer to the hippocampus and hierarchically higher than previously believed. These findings will advance the understanding of common memory system between humans and monkeys and accelerate fine electrophysiological characterization of these dissociable memory traces in the monkey MTL.
Metabolism and pharmacokinetics of morphine in neonates: A review

Morphine is an agonist of the µ and k receptors, whose activation results in analgesia. Morphine-like agonists act through the µ opioid receptors to cause pain relief, sedation, euphoria and respiratory depression. Morphine is glucuronidated and sulfated at positions 3 and 6; the plasma concentration ratios correlate positively with birth weight, which probably reflects increased liver weight with increasing birth weight. Moreover, morphine clearance correlates positively with gestational age and birth weight. Steady-state morphine plasma concentrations are achieved after 24-48 hours of infusion, but the glucuronide metabolite plasma concentrations do not reach steady state before 60 hours. The morphine-3-glucuronide metabolite has lower clearance, a shorter half-life and a smaller distribution volume compared with the morphine-6 metabolite, which is the most active morphine-like agonist. Ordinary doses cause constipation, urinary retention and respiratory depression. Neonatal pain relief may require a blood level of approximately 120 ng/ml, whereas lower levels (20-40 ng/ml) seem adequate for children. A bibliographic search was performed using the PubMed database and the keywords “morphine metabolism neonate” and “morphine pharmacokinetics neonate”. The initial and final cutoff points were January 1990 and September 2015, respectively. The results indicate that morphine is extensively glucuronidated and sulfated at positions 3 and 6, and that the glucuronidation rate is lower in younger neonates compared with older infants. Although much is known about morphine in neonates, further research will be required to ensure that recommended therapeutic doses for analgesia in neonates are evidence based.
Career Intentions and Experiences of Pre- and In-Service Female Band Teachers

The purpose of this study was to examine pre- and in-service female band teachers’ perspectives regarding their experiences in realizing their professional goals. Domains guiding this inquiry included (a) gaining entry into the profession of band teaching, (b) navigating the profession, and (c) gender issues. Findings from this multiple case study indicated that numerous outside factors affected the career paths of the participants, resulting in all of the women pursuing elementary, middle, or multi–grade level jobs. These factors included (a) the positions available at the time of the initial job search, (b) family responsibilities, (c) the perceived time commitment thought to accompany high school band teaching positions, and (d) the desire to witness musical and social growth in students. Some of the participants believed the band profession was increasingly welcoming to women; however, several of the participants reported challenges of being a woman in band teaching. These challenges included the struggle to network with those perceived to be in power, fitting in at professional development events, and gaining respect from students and colleagues. Although some of the women found their gender could be an asset, they also found themselves restricted by social constructs and stereotypes of gender.
Automated 3-D Reconstruction Using a Scanning Electron Microscope

Methods for both the accurate calibration and also the use of an Environmental Scanning Electron Microscope (ESEM) for accurate 3D reconstruction are described. Unlike previous work, the proposed methodology does not require either known motions of a target or use of calibration target with accurate fiducial marks. Experimental results from the calibration studies show the necessity for taking into account and correcting for distortions in the SEM imaging process. Moreover, the presence of high-frequencies components in the distortion field demonstrates that classic parametric distortion models are not sufficient to model distortions in a typical ESEM system. Results from preliminary 3-D shape measurements indicate that the calibration process removes measurement bias and reduces random errors to a range of ±0.05 pixel, which corresponded to ±43 nanometers for the objects being studied in this work.
Using semi-supervised clustering to improve regression test selection techniques

Cluster test selection is proposed as an efficient regression testing approach. It uses some distance measures and clustering algorithms to group tests into some clusters. Tests in a same cluster are considered to have similar behaviors. A certain sampling strategy for the clustering result is used to build up a small subset of tests, which is expected to approximate the fault detection capability of the original test set. All existing cluster test selection methods employ unsupervised clustering. The previous test results are not used in the process of clustering. It may lead to unsatisfactory clustering results in some cases. In this paper, a semi-supervised clustering method, namely semi-supervised K-means (SSKM), is introduced to improve cluster test selection. SSKM uses limited supervision in the form of pair wise constraints: Must-link and Cannot-link. These pair wise constraints are derived from previous test results to improve clustering results as well as test selection results. The experiment results illustrate the effectiveness of cluster test selection methods with SSKM. Two useful observations are made by analysis. (1) Cluster test selection with SSKM has a better effectiveness when the failed tests are in a medium proportion. (2) A strict definition of pair wise constraint can improve the effectiveness of cluster test selection with SSKM.
Extraction of quadrics from noisy point-clouds using a sensor noise model

Fitting optimum quadrics on segmented noisy range-image is a challenging task. The algebraic least-squares fit usually considered in the literature is biased, although it is fast to compute. We extend our previous work in planar patch extraction using a detailed sensor noise model to the extraction of quadrics. First, the fast least-squares method is modified to detect degeneracy automatically and it is used to aid segmentation. The final segmented quadric patch is then refined using a numerical maximum likelihood approach which employs the sensor range error model. Experimental results for artificial data and two different 3D sensors are provided to show the feasibility of our approach.
Time-frequency based analysis of wireless signals

This paper deals with signal characterization in communication systems. An algorithm for components separation of highly multicomponent wireless signals has been described. Eigenvalue decomposition method along with time-frequency signal distribution is used. Approach has been tested on synthetic IEEE 802.11b wireless signal. This method can be useful for the elimination of frequency collisions - interferences that occur in wireless network systems, as well as in separation of different types of signals operating in the same frequency band.
Video dissemination protocols in urban vehicular ad hoc network: A performance evaluation study

Video dissemination over vehicular networks is an attractive technology which supports many novel applications. However, it is a great challenge to analyse the performance of video dissemination protocols due to highly dynamic topology and stringent requirements of applications. In this paper, we evaluate five existing robust video dissemination protocols in urban scenarios. We evaluate three routing protocols and two error resilience protocols. We also modify the frame coding technique for better performance. The results, more specifically, show that only one of the three routing protocols fulfils the general quality requirements. As for the error resilient techniques, we find that our modified frame coding approach performs better than the original one in four aspects. The results also indicate that the video coding scheme guarantees reliable video qualities.
A Keyword Based Prototype for Web Search Result Diversification

In web search scenario, users often submit short query terms to search engines, expecting to find their desired information in top ranked results. But their queries are so ambiguous that their actual information needs are often unspecified. To satisfy the different information needs, an effective approach is to diversify the top results retrieved for the query. In this paper, we reduce the diversification problem into optimizing the maximum coverage of information facets related to the query, and introduce KED, a novel keyword based prototype for web search result diversification that provides a diverse ranking by selecting documents to cover keywords which belong to different facets underlying the retrieved documents. We evaluated the effectiveness of KED using two public test collections with different kinds of documents. The experiment results show that KED can stably outperform other existing implicit diversification approaches in promoting diversity of top ranked results. Moreover, we show that its effectiveness can be further improved by using high quality keywords.
Hierarchical Models , Nested Models and Completely Random Measures

Statistics has both optimistic and pessimistic faces, with the Bayesian perspective often associated with the former and the frequentist perspective with the latter, but with foundational thinkers such as Jim Berger reminding us that statistics is fundamentally a Janus-like creature with two faces. In creating one field out of two perspectives, one of the unifying ideas emphasized by Berger and others is the Bayesian hierarchy, a modeling framework that simultaneously allows complex models to be created and tames their behavior. Another general tool for creating complex models while controlling their complexity is by nesting simplified models inside of more complex models, an appeal to the principle of “divide-and-conquer. ” An example is the classical finite mixture model, where each data point is modeled as arising from a single mixture component. Note that this appeal to divideand-conquer is quite different from the recursive principle underlying hierarchical modeling— the latter strategy provides a way to share statistical strength among components while the former strategy tends to isolate components. Of course, many complex models involve a blend of these strategies. If the need to exploit hierarchical and nested structures is compelling in parametric models, it is still more compelling in Bayesian nonparametrics, where the growth in numbers of degrees of freedom creates significant challenges in controlling model complexity. The basic idea of Bayesian nonparametrics is to replace classical finite-dimensional prior distributions with general stochastic processes, thereby allowing an open-ended number of degrees of freedom in a model. The framework expresses an essential optimism—only an optimist could hope to fit a model involving an infinite number of degrees of freedom based on finite data. But it also expresses the pessimism that simplified parametric models may be inadequate to
Supplementary Material (esi) for Chemical Communications Glutathione-bound Gold Nanoclusters for Selective-binding and Detection of Glutathione S-transferase-fusion Proteins from Cell Lysates Nc-based Isolation of Gst and Gst-tagged Proteins from Complex Samples

hydrogen carbonate, glucose, and trifluoroacetic acid (TFA) were obtained from Riedel-deHaën (Seelze, Germany). Acetonitrile and thrombin were purchased from Merck (Darmstadt, Germany). Hydrogen tetrachloroaurate (Ⅲ) tetrahydrate was obtained from Showa (Tokyo, Japan), while isopropyl-beta-D-thiogalacto-pyranoside (IPTG) was obtained from Fluka (Seelze, Germany). Luria Bertani (LB) was obtained from BD (Franklin Lakes, NJ, USA). Millexn GS (pore size: 0.22 μm) and Amicon Ultra-4 (cutoff mass: 3000 Da) filters were purchased from Millipore Filter (Ireland). Au@GSH NCs were generated by one-pot synthesis. The Au@GSH NCs used were generated by stirring GSH (2.5 mM, 1 mL) and HAuCl 4 (2.5 mM, 1 mL) at 32 o C for 36 h under room lighting, followed by centrifugation at 13000 rpm (rotor radius : 8.3 cm) (4 o C) for 30 min to remove large particles. The supernatant was then filtered by Amicon Ultra-4 filters under centrifugation at 1500 rpm for 1 h to remove non-reacted species. The nanoclusters remaining on the filter were then re-suspended in deionized water (1 mL). GST (originated from Schistosoma japonicum) and recombinant-GST fusion proteins (GST-ClfA 221-550), cell lysate containing GST-ClfA 221-550 , and GST were used as the model samples for examination. E. coli competent cells (DH5α), was used as the control sample. The amounts of the total 1
Assessing the effects of violence on women in battering relationships with the Keane MMPI-PTSD subscale

General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.