Miracle-dz/UniFAR-FTUs huggingface dataset:
Memetic Algorithm with Filtering Scheme for the Minimum Weighted Edge Dominating Set Problem

The minimum weighted edge dominating set problem (MWEDS) generalizes both the weighted vertex cover problem and the problem of covering the edges of graph by a minimum cost set of both vertices and edges. In this paper, we propose a meta heuristic approach based on genetic algorithm and local search to solve the MWEDS problem. Therefore, the proposed method is considered as a memetic search algorithm which is called Memetic Algorithm with filtering scheme for minimum weighted edge dominating set, and called shortly (MAFS). In the MAFS method, three new fitness functions are invoked to effectively measure the solution qualities. The search process in the proposed method uses intensification scheme, called “filtering”, beside the main genetic search operations in order to achieve faster performance. The experimental results proves that the proposed method is promising in solving the MWEDS problem. (Less)
Connections teachers make between creativity and arts learning

ABSTRACT Background: Creativity is often cited as one of the capacities that needs to be actively encouraged in all aspects of schooling. However, what creativity is and how it may be promoted through formal teaching and learning approaches remain contested. There are also differences between educators in terms of how they understand, discuss and conceptualise this complex concept. Purpose: This paper focuses on the difficulties associated with talking about creativity in education. It considers the ways in which schoolteachers who are involved in the area of arts education understand, describe and discuss the concept of creativity and how it interacts with their classroom practice. Sample: Twenty-three educators who taught Arts (either as generalist primary classroom teachers or as specialist teachers), and the leadership team from a Kindergarten to Year 9 (pupil ages 5–15) school in the suburbs of a city in the Australian state of Victoria participated in the project. Design and methods: In this phenomenological study, data were gathered from participants through questionnaires, discussion groups, email prompts and reflective journals. The material was analysed qualitatively. Findings: By examining the teachers’ dialogic and discursive responses about creativity, it was possible to capture some broad ways in which the participants spoke about creativity. Data were analysed thematically and grouped into categories that represented the connected ‘creative orientations’: thinking orientations, action orientations, emotion orientations and skill/outcome orientations. Conclusion: There is a need for educators in and across a range of discipline areas to share, map and think about creativity. The approach adopted in this exploratory study offers a way that could be used to focus discussions and help facilitate educators’ talk about creativity.
Mathematical Model of the Effect of Interstitial Fluid Pressure on Angiogenic Behavior in Solid Tumors

We present a mathematical model for the concentrations of proangiogenic and antiangiogenic growth factors, and their resulting balance/imbalance, in host and tumor tissue. In addition to production, diffusion, and degradation of these angiogenic growth factors (AGFs), we include interstitial convection to study the locally destabilizing effects of interstitial fluid pressure (IFP) on the activity of these factors. The molecular sizes of representative AGFs and the outward flow of interstitial fluid in tumors suggest that convection is a significant mode of transport for these molecules. The results of our modeling approach suggest that changes in the physiological parameters that determine interstitial fluid pressure have as profound an impact on tumor angiogenesis as those parameters controlling production, diffusion, and degradation of AGFs. This model has predictive potential for determining the angiogenic behavior of solid tumors and the effects of cytotoxic and antiangiogenic therapies on tumor angiogenesis.
Sparse PCA through Low-rank Approximations

We introduce a novel algorithm that computes the $k$-sparse principal component of a positive semidefinite matrix $A$. Our algorithm is combinatorial and operates by examining a discrete set of special vectors lying in a low-dimensional eigen-subspace of $A$. We obtain provable approximation guarantees that depend on the spectral decay profile of the matrix: the faster the eigenvalue decay, the better the quality of our approximation. For example, if the eigenvalues of $A$ follow a power-law decay, we obtain a polynomial-time approximation algorithm for any desired accuracy. A key algorithmic component of our scheme is a combinatorial feature elimination step that is provably safe and in practice significantly reduces the running complexity of our algorithm. We implement our algorithm and test it on multiple artificial and real data sets. Due to the feature elimination step, it is possible to perform sparse PCA on data sets consisting of millions of entries in a few minutes. Our experimental evaluation shows that our scheme is nearly optimal while finding very sparse vectors. We compare to the prior state of the art and show that our scheme matches or outperforms previous algorithms in all tested data sets.
Prevalence of HLA-DQ*02 and HLA-DQ*08 in Patients with Celiac Disease in Eastern Anatolia and the Diagnostic Role of HLA-DQ*02 and HLA-DQ*08 Genotyping

Introducton: Celiac disease (CD) is diagnosed with serological tests and small bowel biopsy. There is a strong link between CD and human leukocyte antigens (HLA). In this study, we aimed to determine the role of HLA alleles DQ*02 and DQ*08 in the diagnosis of pediatric CD patients and to determine the prevalence of these alleles in the population. Materials and Methods: The study included 72 school-aged celiac patients diagnosed according to serology and small bowel biopsy results, and a control group consisting of 70 unrelated individuals with no systemic disease. HLA-DQ*02 and HLA-DQ*08 typing was done using the sequence-specific primer (PCR-SSP) method. Results: The mean age of the CD patients included in the study was 10.06±2.10 years. HLA-DQ*02 frequency was significantly higher in the CD group (67%) compared to the control group (17%) (p<0.001). HLA-DQ*08 frequencies did not differ significantly between the patient and control groups (26% and 24%, respectively; p>0.05). Conclusions: Genetic risk profiles in CD are helpful for predicting susceptibility to disease and disease progression. The results of our study showed that the prevalence of HLA-DQ*02 was higher among CD patients than healthy individuals, and it was higher than the prevalence of HLA-DQ*08. Our study further supports the link between HLADQ*02 and increased risk of disease.
mprovement of the Lipid Profile with Zofenopril in Hypertensive Patients with the Metabolic Syndrome

The effect of the anti-hypertensive drug zofenopril on metabolic parameters in patients with the metabolic syndrome (MetS) is currently unknown. The present study was conducted in order to evaluate whether zofenopril affects parameters involved in the atherosclerotic process. This open-label intervention study included 60 adult patients with essential hypertension that additionally had 2 or more of the following MetS criteria: waist circumference > 102 cm in men and > 88 cm in women, triglycerides > 150 mg/dl, high density lipoprotein cholesterol (HDL-C) < 40 mg/dl in men and < 50 mg/dl in women, and fasting glucose 100 mg/dl. Zofenopril reduced systolic blood pressure by 11% (p<0.001) and diastolic blood pressure by 7% (p=0.004). Zofenopril also decreased triglycerides by 24% (p=0.05) and apolipoprotein B levels by 7% (p=0.04). In addition, the drug improved the lipid profile by decreasing both small dense low density lipoprotein (LDL) cholesterol by 22% (p=0.04), as well as the proportion of the cholesterol of small dense LDL subfraction by 8% (p=0.04), whereas it significantly increased the large LDL cholesterol by 6% (p=0.05) and the proportion of the cholesterol of large LDL subfraction by 7% (p=0.05). Accordingly, mean LDL particle size was increased by 0.04% (p=0.05) with zofenopril. The reduction of small dense LDL subfractions was significantly correlated with the reduction of ApoB levels, even after correction for baseline values (Pearson correlation coefficient 0.8, p=0.03), and with the reduction of triglycerides (Spearman correlation coefficient 0.77, p=0.02). An additional effect of zofenopril was the reduction of the enzymatic activity of lipoprotein-associated phospholipase A2 (Lp-PLA2) by 9% (p=0.05). On the other hand, zofenopril did not influence glucose homeostasis and fibrinogen levels. In conclusion, zofenopril is an effective anti-hypertensive agent with additional favourable effects on the atherogenic dyslipidemia of MetS.
Antimicrobial Resistance in Escherichia coli Recovered from Feedlot Cattle and Associations with Antimicrobial Use

The objectives of this study were to estimate the prevalence of antimicrobial resistance (AMR) and to investigate the associations between exposures to antimicrobial drugs (AMDs) and AMR in fecal non-type specific Escherichia coli (NTSEC) recovered from a large population of feedlot cattle. Two-stage random sampling was used to select individually identified cattle for enrollment, which were sampled at arrival and then a second time later in the feeding period. Advanced regression techniques were used to estimate resistance prevalences, and to investigate associations between AMD exposures in enrolled cattle and penmates and AMR identified in NTSEC recovered from the second sample set. Resistance was most commonly detected to tetracycline, streptomycin, and sulfisoxazole, and was rarely identified for critically important AMDs. All cattle were exposed to AMDs in feed, and 45% were treated parenterally. While resistance prevalence generally increased during the feeding period, most AMD exposures were not significantly associated with AMR outcomes. Exposures of enrolled cattle to tetracycline were associated with increased resistance to tetracycline and trimethoprim sulfa, while beta-lactam exposures were associated with decreased likelihood of detecting streptomycin resistance. Pen-level AMD exposure measures were not associated with resistance outcomes. These findings suggest that tetracycline treatment of feedlot cattle can be associated with modest increases in risk for recovery of resistant NTSEC, but the numerous treatments with an advanced macrolide (tulathromycin) were not associated with detectable increases in resistance in NTSEC. All cattle were exposed to in-feed treatments of tetracycline and this could limit the ability to identify the full impact of these exposures, but these exposures varied for enrolled cattle varied, providing an opportunity to evaluate a dose response. While AMD exposures were not associated with detectably increased risks for resistance to critically important AMDs, rare resistance outcomes and infrequent exposure to other important AMDs (e.g., cephalosporins) limited our ability to rigorously investigate questions regarding factors that can influence resistance to these important AMDs.
Legitimacy and the Life Course: An Age-graded Examination of Changes in Legitimacy Attitudes over Time

Objectives: A body of literature has demonstrated that the perceived legitimacy of legal authorities is an important predictor of criminal offending. Criminal offending is itself age-graded and good explanations of offending should offer some insight for how it changes as individuals age. This article attempts to address this gap by developing and testing seven hypotheses regarding how legitimacy changes over time. Method: Using panel data from the Pathways to Desistance study, a latent growth model (LGM) for legitimacy examines how evaluations of legitimacy change from adolescence to emerging adulthood as well as what factors influence this change. Results: During the period individuals were involved in the study, the LGM revealed that perceptions of legitimacy increase as individuals progress through adolescence before stabilizing in emerging adulthood. Several theoretical factors were related to individuals’ legitimacy evaluations including parental evaluations of legitimacy, family support, emotionality, and self-control. Most importantly, perceptions of procedural justice were found to be related to legitimacy, but this relationship weakened as individuals aged. Conclusions: Evaluations of the legitimacy of legal authorities are, in fact, age-graded. Criminologists should continue to explore the sources of legitimacy evaluations in further developing legitimacy as an important theory of criminal behavior.
Evaluation of a pastry-based P2P overlay for supporting vertical handover

Vertical handovers (VHO) are expected to be a key feature in beyond 3G (B3G) networks. This paper presents and evaluates a Pastry-based P2P overlay network for supporting vertical handover in B3G networks. The P2P overlay is used to quickly locate attachment points (APs) for mobile entities and to retrieve rapidly the configuration and coverage information of these APs. The advantage of the P2P-based solution is its distributed nature, its scalability, and its self-organizing capability. The performance of the P2P-based VHO support architecture is evaluated in terms of the search time for APs, the scalability of the algorithm, and for homogenous and heterogeneous network layouts. In addition, the solution is compared with the conventional client-server approach
Innovative design service platform of agile virtual enterprise supported by semantic web services

With the development of Agile Virtual Enterprise(AVE) in the context of globalization manufacturing, Innovative design is the key problem of product in the current changing world, which is seen as the core competitiveness of AVE. However, non-structured and semi-structured knowledge on the current Internet can not meet the demands of complexity, flexibility and Real-time for innovation design. Until the emergence of the semantic web, it is possible for innovative design based on semantics web services. We give a new knowledge management methodology based on semantics web services to support innovative design. This method gives ontology for innovative design which including design, process, skill, application domain and organization sub ontology. Then we proposes the innovative design method (SEM-PDM) based on semantic web services by combining knowledge engineering, and select the domain of environmental protection device manufacturing as the application field. In the end, an environmental protection device manufacturing ontology architecture is give and a case study is shown. Key-Words: knowledge, innovative design, Agile Virtual Enterprise, semantic, ontology, web services Supported by Ningbo Municipal Natural Science Foundation of China (2007A610041)
Effects of decitabine on megakaryocyte maturation in patients with myelodysplastic syndromes

Thrombocytopenia is a common, often fatal complication experienced by patients with myelodysplastic syndromes (MDS). 5-aza-2′-deoxycytidine (decitabine) has been used to treat MDS patients with thrombocytopenia with a response rate of 45–50%. However, the mechanism of its effects on megakaryocytes remains unclear. In the present study, the effect of decitabine on megakaryocyte maturation was investigated. A total of 20 MDS patients diagnosed with thrombocytopenia were enrolled, including 16 refractory anemia with excess blasts (RAEB)-1 patients and 4 RAEB-2 patients], in addition to 20 leukemia patients that had achieved complete remission and 20 healthy donors. Overall, 65% of MDS patients exhibited a response to decitabine, with an increase in platelet count identified in 80% of patients. In the MDS group, the mean platelet count was significantly increased following one cycle of decitabine chemotherapy (36.85±24.54 vs. 84.90±61; P=0.001); however, no significant difference in megakaryocyte number was identified prior to and following treatment. Additionally, bone marrow mononuclear cells of the MDS patients were cultured in vitro with various concentrations of decitabine (0.0, 2.0, 2.5, 3.0 µM), and cluster of differentiation (CD)41 levels were examined via flow cytometry. The MDS and normal control groups exhibited the highest levels of CD41 expression following treatment with 2.0 µM decitabine (mean fluorescence intensity, 294.07±47.34 and 258.95±28.05, respectively). In conclusion, these results indicate that the DNA-hypomethylating agent, decitabine, may induce the differentiation and maturation of myelodysplastic megakaryocytes in MDS patients, even at low concentrations. Thus, the repeated administration of decitabine at lower doses in MDS patients may be useful in clinical practice, and may lead to the development of alternative treatments for other diseases of abnormal megakaryocyte differentiation, such as idiopathic thrombocytopenic purpura, however, future studies are required to investigate this.
A WordNet-Based Interface to Internet Search Engines

A vast amount of inh~rmation is available on the Internet, and naturally, many information gathering tools have been developed. Several search engines with different characteristics, sucll as AItaVista, Lycos, ]nfoseek. and otlners are available. However. tlm web information rel.rieval technology is still in its infancy, and there is need for cousiderable improvement. Some inhere.t difficulties are: (1) tile web i.formation is diw’. rse a.d highly unstruet.red, (2) the size of informatio,t is large and it grows at an exponential rate. a,,d (3) the current search engine tech,tology still rudime,,tary. While the first two issues are more profound and require long term solutions, it may be possible to develop software around tile search e,tgi.e. - to improve tim quality of the il,formation retrieved. In this paper we present a natural language iaterface system to a search e,zgine and discuss some of tile results obtai,,ed.
Large-Scale Assessment of Coral Reefs with a Team of Heterogeneous Aquatic Robots

In this paper, we examine the utility of a heterogeneous fleet of aquatic robots to cooperatively assess large-scale aquatic ecosystems, with a specific focus on representing the responses of coral reef ecosystems to climate change. We approach this problem through a unique blend of persistent aquatic sampling, vision-based sensing, and cooperative mission planning across a fleet of heterogeneous assets.
BIOEVE Protein-Protein Relation Extraction from Biomedical Abstracts

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Who is Involved ? Semantic Search for E-Discovery

E-discovery projects typically start with an assessment of the collected electronic data in order to estimate the risk to prosecute or defend a legal case. This is not a review task but is appropriately called early case assessment, which is better known as exploratory search in the information retrieval community. This paper first describes text mining methodologies that can be used for enhancing exploratory search. Based on these ideas we present a semantic search dashboard that includes entities that are relevant to investigators such as who knew who, what, where and when. We describe how this dashboard can be powered by results from our ongoing research in the“Semantic Search for E-Discovery”project on topic detection and clustering, semantic enrichment of user profiles, email recipient recommendation, expert finding and identity extraction from digital forensic evidence.
An Improved Method for Generation of Multiple Uncorrelated Rayleigh Fading Waveforms

In this paper, an improved parameter computation method is proposed for generation of multiple uncorrelated Rayleigh fading waveforms. The improved method employs random Doppler frequency wobble for all individual sinusoids based on the original Exact Doppler Spread Method (MEDS), and when the random wobble amplitude is set to be an infinitesimal real value, the autocorrelation (ACF) of inphase (quadrature) components will converge to the ones of reference model exactly. Due to the ACF arithmetic errors of the inphase and quadrature components compensate each other over a determined domain, the ACF of complex waveforms almost the same to the generalized method of MEDS (GMEDS) but with random Doppler frequencies. Simulation results show that the proposed method is useful for the design of simulation models for diversity-combined fading channels, frequency-selective channels, and multiple-input multiple-output (MIMO) channels, moreover, it has close-form and simple expression for model parameters and can be directly used to simulating multiple uncorrelated Rayleigh fading waveforms with low model complexity and low computation costs.
A Prototype System for Selective Dissemination of Broadcast News in European Portuguese

This paper describes ongoing work on selective dissemination of broadcast news. Our pipeline system includes several modules: audio preprocessing, speech recognition, and topic segmentation and indexation. The main goal of this work is to study the impact of earlier errors in the last modules. The impact of audio preprocessing errors is quite small on the speech recognition module, but quite significant in terms of topic segmentation. On the other hand, the impact of speech recognition errors on the topic segmentation and indexation modules is almost negligible. The diagnostic of the errors in these modules is a very important step for the improvement of the prototype of a media watch system described in this paper.
Energy-efficient power adaptation for cognitive radio systems under imperfect channel sensing

In this paper, energy efficient power adaptation is considered in sensing-based spectrum sharing cognitive radio systems in which secondary users first perform channel sensing and then initiate data transmission with two power levels based on the sensing decisions (e.g., idle or busy). It is assumed that spectrum sensing is performed by the cognitive secondary users, albeit with possible errors. In this setting, the optimization problem of maximizing the energy efficiency (EE) subject to peak/average transmission power constraints and average interference constraints is considered. The circuit power is taken into account for total power consumption. By exploiting the quasiconcave property of the EE maximization problem, the original problem is transformed into an equivalent parameterized concave problem and Dinkelbach's method-based iterative power adaptation algorithm is proposed. The impact of sensing performance, peak/average transmit power constraints and average interference constraint on the energy efficiency of cognitive radio systems is analyzed.