Miracle-dz/UniFAR-FTUs huggingface dataset:
Running head : Relationship Marketing : Fad or Panacea ? 2 Relationship Marketing : Fad or Panacea ?

Agricultural markets are undergoing fundamental change, which is driven by changing consumer tastes, retail buyer behavior, and trade policy. The wine market provides just one example of such a market, with industry and policy changes causing the industry to shift from a product-oriented craft-based industry to a market-oriented globalized business. As a result of these changes, practitioners have been urged to pay greater heed to marketing, including the formation of market relationships. Policy makers at a government and industry level have also increased their calls for more relationship marketing activity, often raising compulsory levies to fund further research into this area. Yet considerable confusion as to marketing practice in the wine market remains, with some firms having strong brand awareness with little or no marketing, while others that adopt relationship and traditional marketing strategies seeing mixed success. Building on longitudinal qualitative case studies from the Australian and New Zealand wine industry, our research demonstrates that the adoption of relationship marketing strategies is context dependent. Implications for policy makers and practitioners are explored.
Ashkin-Teller and Gross-Neveu models: New relations and results.

It is shown that (i) the N-component Ashkin-Teller model in d = 2 has continuous O(N) symmetry, (ii) its critical properties near the decoupled Ising transition are determined by the massive Gross-Neveu ((psi-barpsi)/sup 2/) model in general and the (integrable) massless version along a line, (iii) the known results for the massless Gross-Neveu model imply that the first-order transition found as N. -->. infinity persists down to N = 3 along this line, (iv) the supersymmetry of the N = 3 model implies that the leading singularity of the free energy is zero along the first-order line, and (v) the N = 4 model along this line decouples into two identical N = 2 models up to subleading corrections.
Investigating usability and user experience as possible entry barriers for touch interaction in the living room

Interaction with various forms of media is changing. Today, interaction technologies like touch, gesture, or speech are ready for deployment in consumer products. Given that most of these technologies are available for more than 20 years, the take up in end consumer products is limited. To investigate the problems on the introduction of touch interaction to the end consumer market, an experimental comparison of a traditional remote control interaction with a touch remote control was performed to investigate users' perceived differences in usability and user experience. Finally, some insights on usability and user experience measurements as possible entry barriers for the market are presented.
Falcon-AO++: An Improved Ontology Alignment System

With the semantic web, data becomes machine-readable and ontologies define the data. Ontologies in any domain are heterogeneous due to rapid increase in ontology development and differences in views of developers. Agents can fully understand the data only if the correspondences between ontologies are known. Various ontology alignment systems have been developed to automatically discover such correspondences. However, human involvement is still indispensible because the results provided by fully automatic systems are not always complete or precise. This paper introduces Falcon-AO++, an extension of the Falcon-AO alignment system that supports the interactive contribution of a domain expert in the matching process. The evaluation results have shown that contribution of an expert and matching ability of matchers can improve alignment results. General Terms Ontology alignment
Robust feature extraction via information theoretic learning

In this paper, we present a robust feature extraction framework based on information-theoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's quadratic information potential of features and the Renyi's cross information potential between features and class labels. This objective function reaps the advantages in robustness from both redescending M-estimator and manifold regularization, and can be efficiently optimized via half-quadratic optimization in an iterative manner. In addition, the popular algorithms LPP, SRDA and LapRLS for feature extraction are all justified to be the special cases within this framework. Extensive comparison experiments on several real-world data sets, with contaminated features or labels, well validate the encouraging gain in algorithmic robustness from this proposed framework.
COOL TEMPERATURE PERFORMANCE OF A WHEAT STRAW BIOFILTER FOR TREATING DAIRY WASTEWATER

A wheat straw biofilter was evaluated for attenuating pollutants in dairy (milkhouse and milking parlor) wastewater. During the 14-day study, the biofilter was operated in a sequential aerobic–anaerobic mode in a temperature range of 8–14°C. While the biofilter was very effective (89% removal) in attenuating total suspended solids and moderately effective (76% removal) in attenuating oil and grease, its effectiveness in attenuating chemical oxygen demand was low (37% removal). The biofilter was ineffective in attenuating nitrate, while its effectiveness in attenuating ammonium (20% removal) and total Kjeldahl nitrogen (15% removal) was low. The biofilter was not effective in attenuating ortho-phosphate, total phosphorus, and fecal coliform. Though microbial degradation accounted for some pollutant removal, filtration seemed to be the primary mechanism. Lower temperature of operation and high oil and grease concentration (that reduced nutrient transfer to the biofilm) decreased microbial activity, reducing pollutant attenuation. Biofilter performance could be enhanced by using residual heat in the wastewater to raise the operating temperature of the biofilter and by removing oil and grease prior to applying the wastewater to the biofilter.
A Contextual Language Model to Improve Machine Translation of Pronouns by Re-ranking Translation Hypotheses

This paper addresses the translation divergencies of pronouns from English to French, speciﬁcally it and they , which have several gendered and non-gendered possible translations into French. Instead of using anaphora resolution, which is error-prone, we build a target language model that estimates the probabilities of a tuple of consecutive nouns followed by a pronoun. We bring evidence for the linguistic validity of the model, showing that the probability of observing a pronoun with a given gender and number increases with the proportion of nouns with the same gender and number preceding it. We use this French language model to re-rank the translation hypotheses generated by a phrase-based statistical machine translation system. While none of the pronoun-focused translation systems at the DiscoMT 2015 shared task improved over the baseline, our proposal achieves a modest but statistically signiﬁcant improvement over it.
Optimal Coded Sampling for Temporal Super-Resolution Anonymous CVPR submission

Conventional low frame rate cameras result in blur and/or aliasing in images while capturing fast dynamic events. Multiple low speed cameras have been used previously with staggered sampling to increase the temporal resolution. However, previous approaches are inefficient: they either use small integration time for each camera which does not provide light benefit or they use large integration time in a way that requires solving a big ill-posed linear system. We propose coded sampling that solves both the issues: using N cameras it allows N times temporal superresolution while allowing ≈ N2 times more light for each camera. In addition, it results in a well-posed linear system which can be solved independently for each frame, avoiding reconstruction artifacts and significantly reducing the computation time and memory. Our proposed sampling is optimal, since it utilizes Hadamard multiplexing to achieve the maximum possible SNR in the recovered video. We show how to implement coded sampling on off-the-shelf machine vision cameras. We also propose a new class of invertible codes that allow continuous blur in captured frames, leading to an easier hardware implementation.
Updating uniformitarianism: stratigraphy as just a set of ‘frozen accidents’

Abstract It has long been understood that the stratigraphic record is fragmentary. Barrell was the first to clearly understand the importance of accommodation, and the episodic way in which accommodation is created and removed by geological processes. He demonstrated that typically only a fraction of geological time is represented by accumulated sediment. This point was repeated in influential books by D. Ager. A significant feature of the sedimentary record is the correlation between the duration of a sedimentary unit and its sedimentation rate. Sedimentation rates range over more than eleven orders of magnitude. The durations of stratigraphic gaps, the distribution of layer thicknesses, and sedimentation rates have fractal-like properties, facilitating the integration of our knowledge of the processes of accommodation generation with data on varying sedimentation rates and the scales of hiatuses and processes operating over all time scales. This paper proposes the definition of a suite of Sedimentation Rate Scales to encompass the range of time scales and processes in the stratigraphic record. Assignment of stratigraphic units to the appropriate scale should help to clarify preservation mechanisms, leading to more complete quantitative understanding of the geological preservation machine, and a more grounded approach than earlier treatments of stratigraphic completeness.
Practical Fault-Tolerant Framework for eScience Infrastructure

Many areas of science currently use computing resources as a important part of their research, and many research groups adopt cluster architecture to use them efficiently and manage them easily. Therefore, faulttolerance becomes a very important property for the computing resources. However, fault-tolerant systems have not yet been widely adopted because they are either hard to deploy, hard to use, hard to manage, hard to maintain, or hard to justify. This paper proposes a practical fault-tolerant system for eScience infrastructures. Our system uses checkpoint/ restart mechanism for fault-tolerance, and provides a easy mechanism to integrate with Grid services widely used in eScience. Additionally, we run rigorous tests using scientific applications to verify that our system can be used in clusters. We also describe improvements made to our system to solve various problems that arose when deploying it on a cluster. The experimental results show that not only does our system conform to various types of running environment well, but that it can also be practically deployed in clusters.
Platelet-activating factor antagonist TCV-309 attenuates the induction of the cytokine network in experimental endotoxemia in chimpanzees.

Platelet-activating factor (PAF) has been postulated to play a role in the pathogenesis of sepsis. Additionally, in vitro studies have revealed tight interactions between PAF and the cytokine network, and PAF is considered to be an important stimulator of neutrophil functions. To assess the intermediate role of PAF in the induction of cytokines and neutrophil degranulation in endotoxemia in vivo, 12 healthy adult chimpanzees were i.v. injected with a bolus dose of Escherichia coli endotoxin (4 ng/kg); four animals received endotoxin alone, whereas the other chimpanzees were infused with the specific and potent PAF antagonist TCV-309 (bolus of 100 micrograms/kg, followed by either 100 micrograms/kg/h (n = 4) or 500 micrograms/kg/h (n = 4) for 5 h). At both doses TCV-309 significantly inhibited the endotoxin-induced rise in cytokine levels. Peak TNF concentrations after injection of endotoxin alone were 366 +/- 96 pg/ml, vs 105 +/- 47 and 115 +/- 56 pg/ml after administration of endotoxin together with the lower or higher dose of TCV-309, respectively (p < 0.05). TCV-309 also reduced the appearance of soluble TNFRs. Maximal levels of the type I soluble TNFR were diminished from 2.53 +/- 0.27 ng/ml (endotoxin alone) to 1.69 +/- 0.36 ng/ml (high dose TCV-309; p < 0.05); peak values of the type II soluble TNFR were diminished from 8.62 +/- 1.19 ng/ml to 5.76 +/- 0.92 ng/ml (p < 0.05). Furthermore, TCV-309 attenuated the endotoxin-induced release of IL-6 (160 +/- 82 pg/ml after endotoxin alone, vs 63 +/- 30 pg/ml in the low dose TCV-309 group (p < 0.05) and 65 +/- 29 pg/ml in the high dose group (p = 0.07) as well as that of IL-8 (279 +/- 168, vs 71 +/- 15 and 46 +/- 17 pg/ml, respectively; both p < 0.05). TCV-309 tended to reduce the endotoxin-provoked rise in serum IL-1R antagonist levels. In contrast, TCV-309 did not affect the neutrophilic leukocytosis elicited by endotoxin, nor did it inhibit endotoxin-induced neutrophil degranulation, as monitored by the plasma levels of elastase-alpha 1-antitrypsin complexes. We conclude that PAF plays a role, either directly or indirectly, in the stimulation of the cytokine network and in the shedding of soluble TNFR in endotoxemia. PAF does not seem to be an important intermediate factor in endotoxin-induced neutrophilia or neutrophil degranulation.
Variability of hemodynamic parameters using the common viscosity assumption in a computational fluid dynamics analysis of intracranial aneurysms.

BACKGROUND In most simulations of intracranial aneurysm hemodynamics, blood is assumed to be a Newtonian fluid. However, it is a non-Newtonian fluid, and its viscosity profile differs among individuals. Therefore, the common viscosity assumption may not be valid for all patients. OBJECTIVE This study aims to test the suitability of the common viscosity assumption. METHODS Blood viscosity datasets were obtained from two healthy volunteers. Three simulations were performed for three different-sized aneurysms, two using measured value-based non-Newtonian models and one using a Newtonian model. The parameters proposed to predict an aneurysmal rupture obtained using the non-Newtonian models were compared with those obtained using the Newtonian model. RESULTS The largest difference (25%) in the normalized wall shear stress (NWSS) was observed in the smallest aneurysm. Comparing the difference ratio to the NWSS with the Newtonian model between the two Non-Newtonian models, the difference of the ratio was 17.3%. CONCLUSIONS Irrespective of the aneurysmal size, computational fluid dynamics simulations with either the common Newtonian or non-Newtonian viscosity assumption could lead to values different from those of the patient-specific viscosity model for hemodynamic parameters such as NWSS.
Regional-scale sedimentation process models from airborne gamma ray remote sensing and digital elevation data

Airborne gamma ray survey data were used to provide information on potassium, thorium and uranium concentrations in surface soil and rock in arid central Australia. Spatial patterns in these radioelements allow tracing of paths of sediment at catchment scale. Survey elevation data are combined with contour data to produce digital elevation models for terrain analysis, tracing of sediment flow paths and modelling of extreme floods. Gamma ray data show consistent variation with slope, a limited range of drainage areas, and erosion/deposition models derived from the conservation of mass equation. Supply-limited sediment transport models give a reasonable reproduction of observed radioelement distribution but some elements of the distribution pattern reflect the area inundated by 500–1000 year floods rather than the effects of simple downslope movement. Partial area sediment supply models are derived by downstream accumulation of erosion and deposition rates calculated using the conservation of mass equation with transport laws based on slope alone and stream power. Comparison with observed radioelement patterns suggests that both transport laws apply in different parts of the landscape. Regional-scale sediment transport models will require a range of models depending on location in the landscape and event frequency. This approach may allow estimation of sediment delivery ratios. Copyright © 2001 John Wiley & Sons, Ltd.
Fall Detection System for the Elderly Based on the Classification of Shimmer Sensor Prototype Data

Objectives Falling in the elderly is considered a major cause of death. In recent years, ambient and wireless sensor platforms have been extensively used in developed countries for the detection of falls in the elderly. However, we believe extra efforts are required to address this issue in developing countries, such as Pakistan, where most deaths due to falls are not even reported. Considering this, in this paper, we propose a fall detection system prototype that s based on the classification on real time shimmer sensor data. Methods We first developed a data set, ‘SMotion’ of certain postures that could lead to falls in the elderly by using a body area network of Shimmer sensors and categorized the items in this data set into age and weight groups. We developed a feature selection and classification system using three classifiers, namely, support vector machine (SVM), K-nearest neighbor (KNN), and neural network (NN). Finally, a prototype was fabricated to generate alerts to caregivers, health experts, or emergency services in case of fall. Results To evaluate the proposed system, SVM, KNN, and NN were used. The results of this study identified KNN as the most accurate classifier with maximum accuracy of 96% for age groups and 93% for weight groups. Conclusions In this paper, a classification-based fall detection system is proposed. For this purpose, the SMotion data set was developed and categorized into two groups (age and weight groups). The proposed fall detection system for the elderly is implemented through a body area sensor network using third-generation sensors. The evaluation results demonstrate the reasonable performance of the proposed fall detection prototype system in the tested scenarios.
Impact of antibiotic resistance and of adequate empirical antibiotic treatment in the prognosis of patients with Escherichia coli bacteraemia.

BACKGROUND Escherichia coli is the most frequent Gram-negative organism causing bacteraemia. There are few data about prognostic factors of bloodstream infections due to E. coli. In particular, the consequences of antibiotic resistance and of adequate empirical antibiotic treatment on outcome remain broadly unknown. METHODS We conducted a retrospective cohort study of patients with E. coli bacteraemia between January 1997 and June 2005 to identify any association between antibiotic resistance, adequacy of empirical antibiotic therapy and mortality. RESULTS Of 663 patients with E. coli bacteraemia, 36 (5.4%) died. Patients with multidrug-resistant (MDR) E. coli bacteraemia had a significantly lower frequency of correct empirical antibiotic treatment than patients with non-MDR E. coli bacteraemia [relative risk (RR) 0.53; 95% confidence interval (CI) 0.48-0.67], and also had a significantly higher mortality (RR 3.31; 95% CI 1.72-6.36). An association between the number of antibiotics to which E. coli was resistant with adequacy of empirical antibiotic (P < 0.001) and with mortality (P < 0.001) was detected. After adjustment for other significant risk factors and confounders, the inadequacy of empirical antibiotic treatment was associated with an increased mortality (adjusted OR 2.98; 95% CI 1.25-7.11). When the adequacy of empirical treatment was excluded from the model, the presence of MDR E. coli in blood cultures was also associated with the prognosis (adjusted OR 3.11; 95% CI 1.3-7.44). In multivariate analysis, other variables associated with the outcome were age, the presence of severe sepsis or shock, Charlson index score and a non-urinary origin of the bacteraemia. CONCLUSIONS Adequacy of empirical antibiotic treatment is an independent risk factor for mortality in patients with E. coli bacteraemia. MDR E. coli bacteraemia had a worse prognosis due, at least in part, to a lower frequency of correct empirical treatment.
Mars Image Products: Science Goes Operational

deal with new, unknown terrain. Operational plans must be made based on observations taken from the rover itself. The bulk of these observations are in the form of images. While some onboard autonavigation is used [5], the capability is limited, and the complexity and risk of most operations is such that Earth-based decision making is critical. The Multimission Image Processing Lab at JPL is responsible for the creation of most of these images and image-derived products for MER and other missions. MIPL has been involved in a wide variety of missions such as (past) Viking, Voyager, Magellan, Galileo, MPF, Deep Space 1; (present) MER, Cassini, Spitzer, Stardust, Mars Express; and (future) Mars Reconnaissance Orbiter (MRO), Mars Science Laboratory (MSL), Phoenix, and Deep Impact. MIPL has a history of supporting operational processes via optical navigation on many missions and the MPF rover, but the vast majority of images are processed for science and public outreach purposes. Because of the reliance of MER on imagery, MIPL is now in the critical path for MER operations. It is responsible for reconstructing instrument data from telemetry, systematic creation of various kinds of Reduced Data Records (RDRs, or derived products) from images, and creation of special products for operations, science, and public outreach. The MIPL processes, historically used for science, have been successfully used in a fast-turnaround operational environment with strict time requirements.
Reproducibility of Activations in Broca Area with Two Language Tasks: A Functional MR Imaging Study

BACKGROUND AND PURPOSE: Functional MR imaging (fMRI) is rapidly evolving and claims to complement or even substitute intraoperative mapping (IOM) of language functions. However, little is known about the reproducibility of imaging data in the language domain. The aim of our study was to assess the reproducibility of activations for 2 widely used paradigms: naming and word generation. Individual analysis was focused on the Broca area and the left insula. MATERIALS AND METHODS: We examined 13 healthy right-handed subjects in 3 sessions with fMRI. Two conditions were assessed: overt naming and overt naming plus noun generation. The same stimuli were used in all of the sessions. A random-effects analysis was performed to analyze whole-brain activation on a group level. For the regions of interest, the number of voxels classified as active were counted for each subject, and individual reproducibility coefficients were calculated over sessions. RESULTS: For the naming condition, the random-effects analysis did not reveal significant activations in the specified regions; small individual activations were not reproducible. For the combined task, all of the subjects showed activations in the Broca area that were more extensive and reproducible than in the naming task. Activations in the insula were only poorly reproducible. CONCLUSION: Naming is an approved task in IOM but does not identify the Broca area with fMRI in a reproducible way. Priming may have affected our results, but the use of a combined task, in which naming is paired with noun generation, improves the reproducibility of activations and is also suitable for IOM.