Miracle-dz/UniFAR-FTUs huggingface dataset:
Twilight in the leadership playground: subrealism and the training of the business self

ABSTRACT What sort of reality is produced and conveyed to the business trainee through the set of pedagogical techniques that characterize the experiential business curriculum, and how does immersion in this particular kind of reality configure the business self? This essay discusses some of the rhetorical and theatrical contrivances that are used to generate artificial business situations in which the student can experience a moment of decision and test his quality as a leader. These training formulas, we argue, rely on the therapeutic hope of dramaturgical self-realization, but often degenerate into a form of regressive fetishism in which the fantasy of existential resolve and serious decision-making can be playfully and safely enacted. Surrealism and its demise provide an angle from which the peculiar fragility of these operations can be understood: what the experiential business curriculum provides, in this interpretation, amounts to a sort of subrealist shield, a protective dilution of the challenges that await in the world at large. When the element of the ethical pledge is added to this compendium of techniques, the result is a self-referential (and essentially indulgent) form of spiritual exercise solely oriented to the auto-elevation of the business self.
Ontologies for flexible production systems

This paper presents a design of ontology aimed at the optimization of production ramp-up of higly complex and customized products, developed within the European project ARUM. The ARUM solution consists of a large number of software components including schedulers, planners, legacy data transformation services and end-user client interfaces, which are integrated via the Enterprice Service Bus. The semantic interoperability is achieved by providing the common knowledge-based model defined as OWL ontology, which describes processes workflows and events in discrete production environment. The paper presents three main blocks of the ARUM ontology model and shows its usage by selected software componentstaking part in the production scheduling task.
Extended carrier-hopping prime codes for optical and wireless CDMA systems

In this paper, a new class of carrier-hopping codes for frequency-hopping wireless and wavelength-hopping fiber optic code-division multiple-access (CDMA) is constructed by modifying the original carrier-hopping prime codes. The new carrier-hopping prime codes possess expanded and asymptotically optimal cardinality, zero autocorrelation side-lobes, and cross-correlation functions. The performance analysis of the new codes will be given and compared to the carrier-grouping scheme. Under the best scenario that a central controller is used to uniformly distribute all simultaneous users over groups of carriers in the grouping scheme, the results show that the new codes perform as good as the grouping scheme if the traffic load is heavy
Time Series Based Structural Damage Detection Algorithm Using Gaussian Mixtures

In this paper, a time series based detection algorithm is proposed utilizing the Gaussian Mixture Models. The two critical aspects of damage diagnosis that are investigated are detection and extent. The vibration signals obtained from the structure are modeled as autoregressive moving average (ARMA) processes. The feature vector used consists of the first three autoregressive coefficients obtained from the modeling of the vibration signals. Damage is detected by observing a migration of the extracted AR coefficients with damage. A Gaussian Mixture Model (GMM) is used to model the feature vector. Damage is detected using the gap statistic, which ascertains the optimal number of mixtures in a particular dataset. The Mahalanobis distance between the mixture in question and the baseline (undamaged) mixture is a good indicator of damage extent. Application cases from the ASCE Benchmark Structure simulated data have been used to test the efficacy of the algorithm. This approach provides a useful framework for data fusion, where different measurements such as strains, temperature, and humidity could be used for a more robust damage decision.
Negotiations of Power and Resistance: A spatial exploration of educational policy and practice with particular attention to the stories surrounding the learning and teaching of Gypsy/Traveller children

5 CHAPTER ONE 6 INTRODUCTION 6 AIMS AND OBJECTIVES 11 WHY GYPSY/TRAVELLERS? 12 THE CONTEXT OF THIS PROJECT 19 Key Factor One: Nomadism and Sedentarism 19 Key Factor Two: Neo-Liberal Education Policy 20 SPATIAL THEORY – THEORETICAL FRAMEWORK 22 DEFINING THE TERM GYPSY/TRAVELLER 26 THE EMPIRICAL DATA 29 OUTLINE OF CHAPTERS 30 CHAPTER TWO 36 SCHOOLING THE CITIZEN: THE NATION STATE, SEDENTARISM AND NOMADISM 36 INTRODUCTION 36 THE BIRTH OF MASS SCHOOLING 40 THE ‘OTHERING’ OF GYPSY/TRAVELLERS 46 ASSIMILATION AND SEDENTARISM 53 NOMADIC LEARNING AND THE PROVISION OF MAINSTREAM SCHOOLING 60 FINAL SYNTHESIS 70 CHAPTER THREE 74 NEO-LIBERALISM AND THE PRIVATISATION OF SCHOOL AND EDUCATION: AN EROSION OF EDUCATIONAL SOCIAL JUSTICE? 74 INTRODUCTION 74 THE 1988 ERA – LAYING NEO-LIBERAL FOUNDATIONS 79 CEMENTING THE NEO-LIBERAL IDENTITY 88 PERFORMATIVITY VERSUS SOCIAL JUSTICE 92 CAN THINGS CHANGE? 99 FINAL SYNTHESIS 103 CHAPTER FOUR 108 THEORETICAL FRAMEWORK: THE SPATIAL CONTEXT OF SOCIAL RELATIONS 108 INTRODUCTION 108 THE SPATIAL TURN 111 UNDERSTANDING ‘SPACE’ AND ‘PLACE’ 116 THE CONCEPTION OF SOCIAL SPACE 127 THE SOCIO-SPATIAL DIMENSION OF SCHOOL 135 A TIME FOR CHANGE 144 FINAL SYNOPSIS 148 CHAPTER FIVE 152 METHODOLOGY 152
L’origine della depressione nella malattia di Alzheimer: una revisione della letteratura

AIM Depression was associated to Alzheimer's disease (AD), even if its role as predictive symptom, risk factor or reactive factor remains unclear. The aim of this review was to investigate the relation between depression and AD. More specifically, we aimed to examine if depression may be a prodrome of AD or an early reaction to cognitive decline. METHODS A systematic review based on the electronic bibliographic databases (PsycINFO, PubMed, Scopus, Web of Science, Web of Knowledge) was carried out on the scientific literature from 2010 to 2016. Observational studies and literature reviews were included, searched for predefined inclusion criteria. RESULTS A total of 29 studies were included. Most of the reviews reported that depression may be a risk factor for dementia. Moreover, frequency and severity of depressive episodes may increase the risk for dementia. However, the results are contradictory to a possible risk difference between early or late depression in determining the occurrence of AD. CONCLUSIONS Depression may be a prodrome of dementia and a risk factor of AD. However, the hypothesis of depression as risk factor is the most accredited one. Finally, there is one evidence suggesting that depression is a reaction to cognitive decline of AD.
The Role of Communication Types on Referral Acceptance in Social Networks

The advancement of communication tools has changed interpersonal communication among consumers. Companies leverage different communication tools to reach customers, while it is unclear, how communication types affect online referral acceptance. This study draws on affordances and social presence theory to investigate the role of two communication types (i.e. private and public) in social networks on recipients’ intention to accept a referral. Furthermore, we examine how rewards (i.e. for the referrer or receiver) impact the likelihood of referral acceptance depending on the communication type. We conducted a 3x2 between-subjects experiment. Results demonstrate that referrals without any reward are equally accepted in both communication types. However, when a referral includes a receiver reward, consumers prefer to receive the referral through the private communication type rather than through the public communication type. This research yields empirical evidence that helps companies facilitate the selection of appropriate communica ion types for unrewarded and rewarded online referrals.
Teens, Kindness and Cruelty on Social Network Sites

How American teens navigate the new world of "digital citizenship" Social media use has become so pervasive in the lives of American teens that having a presence on a social network site is almost synonymous with being online. Fully 95% of all teens ages 12-17 are now online and 80% of those online teens are users of social media sites. 1 We focused our attention in this research on social network sites because we wanted to understand the types of experiences teens are having there and how they are addressing negative behavior when they see it or experience it. As they navigate challenging social interactions online, who is influencing their sense of what it means to be a good or bad " digital citizen " ? How often do they intervene to stand up for others? How often do they join in the mean behavior? Many log on daily to their social network pages and these have become spaces where much of the social activity of teen life is echoed and amplified—in both good and bad ways. In our survey, we follow teens' experiences of online cruelty – either personally felt or observed – from incident to resolution. We asked them about how they reacted to the experience and how they saw others react. We asked them about whether they have received and where they sought advice – both general advice about online safety and responsibility and specific advice on how to handle a witnessed experience of online cruelty on a social network site. We also probed the environment around teens' online experiences by examining their privacy controls and practices, as well as the level of regulation of their online environment by their parents. We further sought insight into more serious experiences that teens have in their lives, including bullying both on-and offline and the exchange of sexually charged digital images. What follows are the main findings from a report conducted by the Pew Research Center's Internet & American Life Project in partnership with the Family Online Safety Institute and supported by Cable in the Classroom. The data discussed in this report are the result of a three-part, multi-modal study that included interviews with experts, seven focus groups with middle and high school students, and a nationally representative random-digit-dial telephone survey of teens and parents. The survey was fielded April 19 through July 14, 2011, and was administered by landline …
Contribution of soil respiration in tropical, temperate, and boreal forests to the 18O enrichment of atmospheric O2

The 18O content of atmospheric O2 is an important tracer for past changes in the biosphere. Its quantitative use depends on knowledge of the discrimination against 18O associated with the various O2 consumption processes. Here we evaluated, for the first time, the in situ 18O discrimination associated with soil respiration in natural ecosystems. The discrimination was estimated from the measured [O2] and δ18O of O2 in the soil‐air. The discriminations that were found are 10.1 ± 1.5‰, 17.8 ± 1.0‰, and 22.5 ± 3.6‰, for tropical, temperate, and boreal forests, respectively, 17.9 ± 2.5‰ for Mediterranean woodland, and 15.4 ± 1.6‰ for tropical shrub land. Current understanding of the isotopic composition of atmospheric O2 is based on the assumption that the magnitude of the fractionation in soil respiration is identical to that of dark respiration through the cytochrome pathway alone (∼18‰). The discrimination we found in the tropical sites is significantly lower, and is explained by slow diffusion in soil aggregates and root tissues that limits the O2 concentration in the consumption sites. The high discrimination in the boreal sites may be the result of high engagement of the alternative oxidase pathway (AOX), which has high discrimination associated with it (∼27‰). The intermediate discrimination (∼18‰) in the temperate and Mediterranean sites can be explained by the opposing effects of AOX and diffusion limitation that cancel out. Since soil respiration is a major component of the global oxygen uptake, the contribution of large variations in the discrimination, observed here, to the global Dole Effect should be considered in global scale studies.
Processing of VEGF-A by matrix metalloproteinases regulates bioavailability and vascular patterning in tumors

Vascular endothelial growth factor (VEGF) is a critical mediator of blood vessel formation during development and in pathological conditions. In this study, we demonstrate that VEGF bioavailability is regulated extracellularly by matrix metalloproteinases (MMPs) through intramolecular processing. Specifically, we show that a subset of MMPs can cleave matrix-bound isoforms of VEGF, releasing soluble fragments. We have mapped the region of MMP processing, have generated recombinant forms that mimic MMP-cleaved and MMP-resistant VEGF, and have explored their biological impact in tumors. Although all forms induced similar VEGF receptor 2 phosphorylation levels, the angiogenic outcomes were distinct. MMP-cleaved VEGF promoted the capillary dilation of existent vessels but mediated a marginal neovascular response within the tumor. In contrast, MMP-resistant VEGF supported extensive growth of thin vessels with multiple and frequent branch points. Our findings support the view that matrix-bound VEGF and nontethered VEGF provide different signaling outcomes. These findings reveal a novel aspect in the regulation of extracellular VEGF that holds significance for vascular patterning.
“There’s More Than One Right Path to The Destination”: Does Degree Type Make a Difference in Police Recruiting?

Each year colleges and universities market criminology and criminal justice programs to potential applicants by suggesting these programs offer a uniquely tailored path for those seeking entry into a policing career. Despite such claims, little empirical research exists to suggest that degree content is a factor in influencing recruitment outcomes. In this paper, we present results from an ongoing, exploratory study into pre-recruitment education to show that program content—in this case, a criminology or criminal justice diploma or degree—has generally little influence on how police agencies evaluate a potential applicant. Drawing on interviews with thirty-two (n = 32) police recruiters and senior officers from police services across the province of Ontario in Canada, we show that, while many agencies prefer candidates with degrees, criminology and criminal justice degree holders are not privileged in the recruiting process over those applicants from other disciplines.
Virtual Examples for Text Classification with Support Vector Machines

We explore how virtual examples (artificially created examples) improve performance of text classification with Support Vector Machines (SVMs). We propose techniques to create virtual examples for text classification based on the assumption that the category of a document is unchanged even if a small number of words are added or deleted. We evaluate the proposed methods by Reuters-21758 test set collection. Experimental results show virtual examples improve the performance of text classification with SVMs, especially for small training sets.
Implementation and Control of a Hybrid Multilevel Converter with Floating DC-links for Current Waveform Improvement

Multilevel converters offer advantages in terms of the output waveform quality due to the increased number of levels used in the output voltage modulation. This advantage is particularly true for cascaded H-bridge converters that can be built to produce a large number of levels thanks to their modular structure. Nevertheless, this advantage comes at the cost of multiple DC-links supplied by independent rectifiers through the use of a multi-output transformer for inverters. This frontend complicates the implementation of converters that have a high number of levels. An alternative method of using lower voltage cells with floating dc-links to compensate only for voltage distortion of an NPC converter is considered for active rectifier applications. The analogy between the floating H-bridges and series active filters is used to develop a strategy for harmonic compensation of the NPC output voltage and the control of the floating dc-link voltages. This simplifies the current control scheme and increases its bandwidth. Experimental results with a low power prototype that show the good performance of the proposed modulation technique and the resulting improvement in the output waveform are
The scaffolding domain of caveolin 2 is responsible for its Golgi localization in Caco-2 cells

In this work, we showed that in Caco-2 cells, a polarized cell line derived from human colon cancer that does not express caveolin 1 (Cav-1), there was no detectable expression of caveolin 2 (Cav-2). When Cav-2 was reintroduced in these cells, it accumulated in the Golgi complex. A chimera, in which the scaffolding domain of Cav-1 was replaced by the one from Cav-2, induced a prominent Golgi staining of Cav-1, strongly indicating that this domain was responsible for the accumulation of Cav-2 in the Golgi complex. Cav-2 was able to interact with Cav-1 in the Golgi complex but this interaction was not sufficient to export it from this compartment. Several chimeras between Cav-1 and 2 were used to show that surface expression of caveolin was necessary but not sufficient to promote caveolae formation. Interestingly, levels of incorporation of the chimeras into Triton insoluble rafts correlated with their ability to trigger caveolae formation raising the possibility that a critical concentration of caveolins to discrete domains of the plasma membrane might be necessary for caveolae formation.
2 Supervised Learning 2.1 Learning a Class from Examples

We discuss supervised learning starting from the simplest case, which is learning a class from its positive and negative examples. We generalize and discuss the case of multiple classes, then regression, where the outputs are continuous. Let us say we want to learn the class, C, of a " family car. " We have a set of examples of cars, and we have a group of people that we survey to whom we show these cars. The people look at the cars and label them; the cars that they believe are family cars are positive examples, and the positive examples other cars are negative examples. Class learning is finding a description negative examples that is shared by all positive examples and none of the negative examples. Doing this, we can make a prediction: Given a car that we have not seen before, by checking with the description learned, we will be able to say whether it is a family car or not. Or we can do knowledge extraction: This study may be sponsored by a car company, and the aim may be to understand what people expect from a family car. After some discussions with experts in the field, let us say that we reach the conclusion that among all features a car may have, the features that separate a family car from other cars are the price and engine power. These two attributes are the inputs to the class recognizer. Note that when we decide on this particular input representation, we are ignoring input representation various other attributes as irrelevant. Though one may think of other attributes such as seating capacity and color that might be important for distinguishing among car types, we will consider only price and engine power to keep this example simple.
TreeEFM: calculating elementary flux modes using linear optimization in a tree-based algorithm

MOTIVATION Elementary flux modes (EFMs) analysis constitutes a fundamental tool in systems biology. However, the efficient calculation of EFMs in genome-scale metabolic networks (GSMNs) is still a challenge. We present a novel algorithm that uses a linear programming-based tree search and efficiently enumerates a subset of EFMs in GSMNs. RESULTS Our approach is compared with the EFMEvolver approach, demonstrating a significant improvement in computation time. We also validate the usefulness of our new approach by studying the acetate overflow metabolism in the Escherichia coli bacteria. To do so, we computed 1 million EFMs for each energetic amino acid and then analysed the relevance of each energetic amino acid based on gene/protein expression data and the obtained EFMs. We found good agreement between previous experiments and the conclusions reached using EFMs. Finally, we also analysed the performance of our approach when applied to large GSMNs. AVAILABILITY AND IMPLEMENTATION The stand-alone software TreeEFM is implemented in C++ and interacts with the open-source linear solver COIN-OR Linear program Solver (CLP).
The properties of Lyα emitting galaxies in hierarchical galaxy formation models

We present detailed predictions for the properties of Lyα-emitting galaxies in the framework of the Λ cold dark matter cosmology, calculated using the semi-analytical galaxy formation model galform. We explore a model that assumes a top-heavy initial mass function in starbursts and that has previously been shown to explain the sub-millimetre number counts and the luminosity function of Lyman-break galaxies at high redshift. We show that this model, with the simple assumption that a fixed fraction of Lyα photons escape from each galaxy, is remarkably successful at explaining the observed luminosity function of Lyα emitters (LAEs) over the redshift range 3 7, a redshift range that is starting to be be probed by near-infrared surveys and using new instruments such as the Dark Ages Z Lyman Explorer (DAzLE).
MIA A Multi-Agent Location Based Information Systems for Mobile Users in 3G Networks

The evolving communication infrastructure of the third generation networks provides new possibilities as well as new challenges for information agents. Detailing the architecture of MIA, a prototype of a multi agent information system for mobile users, we describe the impact of upcoming network and client improvements on information agents. The expansion of accessible sources enables the agent system to provide personalized market information just when it becomes available. Due to its autonomous activity the user will not be forced to wait for results after the speciﬁcation of his wishes. Valuable information services like this will be a driving force in the acceptance of the new mobile network infrastructure.
Healthy eating and reduced risk of cognitive decline

Objective: We sought to determine the association of dietary factors and risk of cognitive decline in a population at high risk of cardiovascular disease. Methods: Baseline dietary intake and measures of the Mini-Mental State Examination were recorded in 27,860 men and women who were enrolled in 2 international parallel trials of the ONTARGET (Ongoing Telmisartan Alone and in Combination with Ramipril Global Endpoint Trial) and TRANSCEND (Telmisartan Randomised Assessment Study in ACE Intolerant Subjects with Cardiovascular Disease) studies. We measured diet quality using the modified Alternative Healthy Eating Index. Cox proportional hazards regression was used to determine the association between diet quality and risk of ≥3-point decline in Mini-Mental State Examination score, and reported as hazard ratio with 95% confidence intervals with adjustment for covariates. Results: During 56 months of follow-up, 4,699 cases of cognitive decline occurred. We observed lower risk of cognitive decline among those in the healthiest dietary quintile of modified Alternative Healthy Eating Index compared with lowest quintile (hazard ratio 0.76, 95% confidence interval 0.66–0.86, Q5 vs Q1). Lower risk of cognitive decline was consistent regardless of baseline cognitive level. Conclusion: We found that higher diet quality was associated with a reduced risk of cognitive decline. Improved diet quality represents an important potential target for reducing the global burden of cognitive decline.