Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding Team-Based Intrapreneurship Within the Complex Environment of a Multi-faceted Australian Healthcare Provider

This research investigates the relationship between cooperation, intrapreneurship and strategic advantage within a values based healthcare culture. Two models are presented: an existing three-stage innovation model based on Deming’s PDSA cycle that includes aspects of effective teambuilding, new services and products development and an evaluation model. A driving force within the innovation model is the creation of a process of intrapreneurship based on action learning, an approach that addresses organisational development issues faced in the development of intrapreneurship. The case study presents the innovation model in use, examples of the organisation’s value systems and an evaluation of intrapreneurship as a method of innovation and organisational transformation via a second model. This second model combines Deming’s system of profound knowledge and PDSA cycle with the organisational change and development philosophies of Argyris. The outcome provides insight into the management and operational aspects of cooperation, collaboration and intrapreneurship within the healthcare sector as a means of obtaining a competitive advantage.
Exposure and input in bilingual development

A growing literature on bilingual development explores relationships between language exposure and learning outcomes. Vocabulary size and pace of grammar learning have been claimed to be causally related to amounts or types of exposure to each language. Strong claims are made about the role of exposure on bilingual outcomes. Some researchers posit a unique learning result: a ‘weak language’. In a critical review, I voice reasons for scepticism that quantity or quality of exposure alone will explain findings. Central constructs are not well defined; inappropriate research methods have been used; the right kind of data is not discussed. Crucially, authors prevaricate on the notion of language itself, switching between cognitive and environmental perspectives. Both are needed to interpret bilingual behaviours but play different roles in the construction of learner grammars.
On Solving Stochastic Collocation Systems with Algebraic Multigrid

Stochastic collocation methods facilitate the numerical solution of partial differential equations (PDEs) with random data and give rise to long sequences of similar linear systems. When elliptic PDEs with random diffusion coefficients are discretized with mixed finite element methods in the physical domain we obtain saddle point systems. These are trivial to solve when considered individually; the challenge lies in exploiting their similarities to recycle information and minimize the cost of solving the entire sequence. We apply stochastic collocation to a model stochastic elliptic problem and discretize in physical space using Raviart? Thomas elements. We propose an efficient solution strategy for the resulting linear systems that is more robust than any other in the literature. In particular, we show that it is feasible to use finely-tuned algebraic multigrid preconditioning if key set-up information is reused. The proposed solver is robust with respect to variations in the discretization and statistical parameters for stochastically linear and nonlinear data.
The Path Is the Goal: How Transformational Leaders Enhance Followers’ Job Attitudes and Proactive Behavior

While leading through goals is usually associated with a task-oriented leadership style, the present work links goal setting to transformational leadership. An online survey with two time points was conducted with employees to investigate the influence of transformational leadership on followers’ job satisfaction, organizational commitment, and proactive behavior via goal attributes. Findings indicate that transformational leaders influence the extent to which followers evaluate organizational goals as important and perceive them as attainable. Multiple mediation analysis revealed that these goal attributes transmit the effect of transformational leadership on followers’ job attitudes and proactive behavior. However, goal importance and goal attainability seem to be of differential importance for the different outcomes.
GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network

The concept of conditional computation for deep nets has been proposed previously to improve model performance by selectively using only parts of the model conditioned on the sample it is processing. In this paper, we investigate input-dependent dynamic filter selection in deep convolutional neural networks (CNNs). The problem is interesting because the idea of forcing different parts of the model to learn from different types of samples may help us acquire better filters in CNNs, improve the model generalization performance and potentially increase the interpretability of model behavior. We propose a novel yet simple framework called GaterNet, which involves a backbone and a gater network. The backbone network is a regular CNN that performs the major computation needed for making a prediction, while a global gater network is introduced to generate binary gates for selectively activating filters in the backbone network based on each input. Extensive experiments on CIFAR and ImageNet datasets show that our models consistently outperform the original models with a large margin. On CIFAR-10, our model also improves upon state-of-the-art results.
Coding for networks of compound channels

In this paper, we consider networks where every edge is a compound Binary Symmetric Channel whose transition probability is determined by a global network state. We first examine the setting where the sum of the transition probabilities for all edges satisfies an overall global upper bound. For networks with exactly one source and one sink we show that capacity is given by the smallest min-cut among all permitted networks states. We show that routing along with end-to-end error correction is optimal for such networks. Next, we consider networks with one source and multiple sinks with multicast demands. We give upper and lower bounds on the capacity of such networks. The coding strategy that leads to our lower bound is intriguing — it involves both end-to-end error correction across the network as well as link-by-link error correction. Finally, we give a lower bound on the capacity of networks where the transition probabilities can take any arbitrary value from a known state-space.
Compression of 3 D Animation by Principal Component Analysis T 483

This study develops a novel analysis geometry compression method for 3D animation based on principal component analysis (PCA). PCA determines the principal animation components to reduce the number of relevant variables to a few independent principal component factors, which can be approximated to the original animation via linear combination. However, the selection of the principal component factor (also known as the base) is still the subject of research. Selecting a large number of bases can improve the precision of the animation and reduce distortion while maintaining a large data volume. A formula for base selection is still required. This study develops an automatic PCA selection method, and discusses PCA in detail.
Evaluación del modelo de simulación WinIsareg para soja en el litoral oeste del Uruguay

1Profesional independiente, Varela 853, 50000 Salto, Uruguay. 2Departamento de Biometría, Estadística y Computación. Estación Experimental Dr. Mario A. Cassinoni. Facultad de Agronomía, Universidad de la República. Ruta 3, km 363, 60000 Paysandú, Uruguay. 3Departamento de Producción Vegetal. Estación Experimental Dr. Mario A. Cassinoni. Facultad de Agronomía, Universidad de la República. Ruta 3, km 363, 60000 Paysandú, Uruguay. *Correo electrónico: kapoexe@fagro.edu. uy
Endometriosis Is a Cause of Infertility. Does Reactive Oxygen Damage to Gametes and Embryos Play a Key Role in the Pathogenesis of Infertility Caused by Endometriosis?

Approximately, 10–15% of women of reproductive age are affected by endometriosis, which often leads to infertility. Endometriosis often has an inherited component, and several causative predisposing factors are hypothesized to underlie the pathogenesis of endometriosis. One working hypothesis is the theory of retrograde menstruation. According to the theory of retrograde menstruation, components of refluxed blood, including apoptotic endometrial tissue, desquamated menstrual cells, lysed erythrocytes, and released iron, induce inflammation in the peritoneal cavity. This in turn activates macrophage release of reactive oxygen species (ROS), leading to oxidative stress via the respiratory burst. Refluxed blood promotes the Fenton reaction, terminating in the production of hydroxyl radical, the most potently destructive ROS. In this article, we review the papers that demonstrate decreased quantity and quality of oocytes and embryos retrieved from IVF/ICSI patients with endometriosis. We discuss literature data demonstrating that ROS are generated in endometriotic tissues that have physical proximity to gametes and embryos, and demonstrating adverse impacts on oocyte, sperm and embryo microtubule apparatus, chromosomes, and DNA. Data that addresses the notions that endometriosis causes oocyte and fetal aneuploidy and that these events are mediated by ROS species are also discussed. Literature data are also discussed that employ use of anti-oxidant molecules to evaluate the importance of ROS-mediated oxidative damage in the pathogenesis of endometriosis. Studies are discussed that have employed anti-oxidants compounds as therapeutics to improve oocyte and embryo quality in infertile subjects, and improve fertility in patients with endometriosis.
FACTORS ASSOCIATED WITH SUBSEQUENT PREGNANCY IN HIV-INFECTED WOMEN AND HIV-NEGATIVE WOMEN: EXPERIENCE FROM URBAN ZIMBABWE

Author(s): Smee, Nancy L | Advisor(s): Portillo, Carmen | Abstract: Background: Integrating family planning services with prevention of mother-to-child transmission of HIV (PMTCT) programs are crucial in sub-Saharan Africa, where HIV seroprevalence and rates of unintended pregnancy are high. The objective of this study was to determine predictors of repeat pregnancy among HIV-positive and HIV-negative women in urban Zimbabwe. Methods: The study was conducted at antenatal clinics in Chitungwiza, a high-density urban town on the outskirts of Harare, the capital city of Zimbabwe, where HIV prevalence among pregnant women is estimated to be around 20%. Using a cross-sectional design, 79 HIV-positive women who had participated in PMTCT during their index pregnancy and 80 HIV-negative controls were interviewed in Shona using a standardized questionnaire 24 months after delivery of their index pregnancy. T-tests, Chi-square and ANOVA were used to compare the two groups on all variables including demographics, index pregnancy, repeat pregnancy, and fertility attitude scores. Logistic regression was used to determine whether a relationship exists between repeat pregnancy and HIV-status, socio-economic status, age, fertility attitude score, and previous pregnancy outcomes.
UvA-DARE ( Digital Academic Repository ) Memory traces of trauma : Neurocognitive aspects of and therapeutic approaches for posttraumatic stress disorder

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Use of zonisamide in twelve patients with intractable seizures refractory to common anti-epileptic regimens

Abstract This non-randomized, uncontrolled, single-center study was conducted to evaluate the effects of zonisamide on intractable epilepsy in a primarily pediatric population. Twelve patients ranging in age from 18 months to 23 years were included in the study. All patients were diagnosed with intractable seizures. Adjunctive therapy with zonisamide was initiated at 100 mg once a day and increased, if needed, by 50–100 mg after one week to reach the maximal or therapeutic dosage depending on patient age and weight. Follow-up occurred in person or by phone at two weeks, one month, and every three months. All 12 patients responded favorably to adjunctive zonisamide. Five patients had subclinical status interrupted and stopped as evidenced by clinical examinations and electroencephalographic (EEG) findings. These patients also became awake, alert, more attentive, and more interactive. An additional six patients experienced clinical and EEG improvement in their seizure frequency, duration, and severity. One patient with autonomic seizures showed EEG improvement in seizure frequency, duration, and severity; however, seizure prodrome control was not obtained. Adjunctive therapy with zonisamide benefited all patients in this study, despite the variation in symptoms and etiology. Zonisamide is thought to have multiple mechanisms of action, which may benefit more patient types than antiepileptic drugs with a single mechanism of action. Zonisamide was well tolerated by all patients.
Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR

One challenging problem of robust automatic speech recognition (ASR) is how to measure the goodness of a speech enhancement algorithm (SEA) without calculating the word error rate (WER) due to the high costs of manual transcriptions, language modeling and decoding process. Traditional measures like PESQ and STOI for evaluating the speech quality and intelligibility were verified to have relatively low correlations with WER. In this study, a novel acoustics-guided evaluation (AGE) measure is proposed for estimating performance of SEAs for robust ASR. AGE consists of three consecutive steps, namely the low-level representations via the feature extraction, high-level representations via the nonlinear mapping with the acoustic model (AM), and the final AGE calculation between the representations of clean speech and degraded speech. Specifically, state posterior probabilities from neural network based AM are adopted for the high-level representations and the cross-entropy criterion is used to calculate AGE. Experiments demonstrate AGE could yield consistently highest correlations with WER and give the most accurate estimation of ASR performance compared with PESQ, STOI, and acoustic confidence measure using Entropy. Potentially, AGE could be adopted to guide the parameter optimization of deep learning based SEAs to further improve the recognition performance.
The possible importance of income and education as covariates in cohort studies that investigate the relationship between diet and disease

Background: Many cohort studies have been carried out that have provided information on the relationship between diet and health-related outcomes. Omission of important covariates during multivariate analysis may give rise to error due to residual confounding. A possibly important covariate is socioeconomic status (SES) as this is related to both diet and health. Objective: To determine the frequency with which different measures of SES are included as covariates during multivariate analysis of cohort studies that investigated the relationship between diet and health. Methodology: An analysis was carried out of 76 randomly selected papers from 66 cohort studies. The papers covered many dietary variables and a wide variety of diseases/health-related outcomes. The cohort studies were carried out in many different locations and the subjects varied widely in age. Results: Approximately two-thirds of the papers (65.8%) used at least one measure of SES as a covariate. Education was used most often (60.5% of papers), followed by income (14.4%) and social class (2.6%). More than one measure of SES was used in 11.8% of papers. Conclusions: Failure to include income (or another measure of present SES, such as occupation) may be a common source of error in cohort studies. Over-reliance on education may be particularly important as it is likely to be a weaker measure of present SES than is income. There is a need for more research on this question. SES in childhood is almost never included in multivariate analysis in cohort studies carried out on adults. This could also play a significant role in disease risk in middle age or later. Very little is known regarding whether this is also a source of residual confounding.
Coloring and constructing (hyper)graphs with restrictions

We consider questions regarding the existence of graphs and hypergraphs with certain coloring properties and other structural properties. In Chapter 2 we consider color-critical graphs that are nearly bipartite and have few edges. We prove a conjecture of Chen, Erdős, Gyárfás, and Schelp concerning the minimum number of edges in a “nearly bipartite” 4-critical graph. In Chapter 3 we consider coloring and list-coloring graphs and hypergraphs with few edges and no small cycles. We prove two main results. If a bipartite graph has maximum average degree at most 2(k− 1), then it is colorable from lists of size k; we prove that this is sharp, even with an additional girth requirement. Using the same approach, we also provide a simple construction of graphs with arbitrarily large girth and chromatic number (first proved to exist by Erdős). In Chapter 4 we consider list-coloring the family of kth power graphs. Kostochka and Woodall conjectured that graph squares are chromatic-choosable, as a strengthening of the Total List Coloring Conjecture. Kim and Park disproved this stronger conjecture, and Zhu asked whether graph kth powers are chromaticchoosable for any k. We show that this is not true: we construct families of graphs based on affine planes whose choice number exceeds their chromatic number by a logarithmic factor. In Chapter 5 we consider the existence of uniform hypergraphs with prescribed degrees and codegrees. In Section 5.2, we show that a generalization of the graphic 2-switch is insufficient to connect realizations of a given degree sequence. In Section 5.3, we consider an operation on 3-graphs related to the octahedron that preserves codegrees; this leads to an inductive definition for 2-colorable triangulations of the sphere. In Section 5.4, we discuss the notion of fractional realizations of degree sequences, in particular noting the equivalence of the existence of a realization and the existence of a fractional realization in the graph and multihypergraph cases. In Chapter 6 we consider a question concerning poset dimension. Dorais asked for the maximum guaranteed size of a subposet with dimension at most d of an n-element poset. A lower bound of √ dn was observed by Goodwillie. We provide a sublinear upper bound.
Low immunogenicity but reduced bioavailability of an interferon beta-1a biosimilar compared with its biological parent: results of MATRIX, a cross-sectional, multicenter phase 4 study

License. The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. Permissions beyond the scope of the License are administered by Dove Medical Press Limited. Information on how to request permission may be found at: http://www.dovepress. com/permissions.php Biosimilars 2015:5 75–81 Biosimilars Dovepress
How to Avoid Pigeonholing the Environmental Manager?

The research investigates the role the environmental manager plays to ensure a successful (or not) implementation of environmental performance within an organization. It is based on interviews of 5–7 actors per company within a sample of 7 companies (42 interviews). We build upon bias of perception of the various actors interviewed within each company to define 4 paradoxes related to the roles and mission of the environmental manager that hinder proper efficiency of environmental management at company level. Paradox 1 is that no one takes ownership of environmental performance within the organization. Paradox 2 is that the environmental manager is in an awkward situation vis-à-vis his boss. Paradox 3 is that the role of the environmental manager in relation to employees is ambiguous. Paradox 4 is that corporate and product approaches are decoupled. We suggest that these paradoxes interact and form a vicious cycle that may, in part, be responsible for the environmental decoupling phenomenon—companies often adopt a sustainability policy symbolically without implementing it substantively. Our research suggests that, by leveraging the leadership of the environmental manager through organizational and motivational measures, the vicious cycle can be transformed into a virtuous cycle and the human motivation can become a driver for green change within corporations. We proposed the SEA (Shaping Environmental Action) model based of 4 pillars: information, motivation, organization, and strategy.
Le popolazioni complesse per comorbilit Il caso dello scompenso cardiaco

In image data display apparatus and method, code data stored in a memory is converted to image data, which is then cyclically stored into a plurality of image memories for displaying on a display as display data. Overrun of image screen which is caused by a difference between a recognition time and a response time of an operator when a continuous paging mode of the display for data retrieval is terminated is corrected by a hardware implemented circuit or a software implemented computer program so that a desired image screen is displayed.
Java Puzzlers: Traps, Pitfalls, and Corner Cases

"Every programming language has its quirks. This lively book reveals oddities of the Java programming language through entertaining and thought-provoking programming puzzles. "--Guy Steele, Sun Fellow and coauthor of The Java™ Language Specification"I laughed, I cried, I threw up (my hands in admiration). "--Tim Peierls, president, Prior Artisans LLC, and member of the JSR 166 Expert GroupHow well do you really know Java? Are you a code sleuth? Have you ever spent days chasing a bug caused by a trap or pitfall in Java or its libraries? Do you like brainteasers? Then this is the book for you! In the tradition of Effective Java™, Bloch and Gafter dive deep into the subtleties of the Java programming language and its core libraries. Illustrated with visually stunning optical illusions, Java™ Puzzlers features 95 diabolical puzzles that educate and entertain. Anyone with a working knowledge of Java will understand the puzzles, but even the most seasoned veteran will find them challenging.Most of the puzzles take the form of a short program whose behavior isn't what it seems. Can you figure out what it does? Puzzles are grouped loosely according to the features they use, and detailed solutions follow each puzzle. The solutions go well beyond a simple explanation of the program's behavior--they show you how to avoid the underlying traps and pitfalls for good. A handy catalog of traps and pitfalls at the back of the book provides a concise taxonomy for future reference.Solve these puzzles and you'll never again fall prey to the counterintuitive or obscure behaviors that can fool even the most experienced programmers.