Miracle-dz/UniFAR-FTUs huggingface dataset:
Principals in succession : transfer and rotation in educational administration

Introduction: Principals in Succession - Transfer and Rotation in Educational Administration Robert E. White and Karyn Cooper. - Prologue: The Construction of the Principalship - Institutional Ethnography and Principal Selection and Succession Alison Griffith. - 1. Succeeding Leaders - Supply and Demand Andy Hargreaves and Dean Fink . - 2. The School District and the Development of Trust in New Principals - Policies and actions that influence succession Robert B. Macmillan, Matthew J. Meyer, Shawn Northfield and Michael Foley. - 3. Planning for Succession - Considerations and Implications for Educational Policy Robert E. White and Karyn Cooper. - 4. Principal Turnover and the Impact on Teacher-Principal Relationships - Mitigating Emerging Values Issues Matthew J. Meyer, Robert B. Macmillan, Shawn Northfield and Michael Foley. - 5. Survive and Thrive - Leadership Distribution as a Strategy for Frequent Principal Turnover Blair Mascall, Shawn Moore, Doris Jantzi, Kevin Walker and Robin Sacks. - 6. Trust during Transition - Strategic Leadership and Trust Development during Principal Succession Shawn Northfield, Robert B. Macmillan and Matthew J. Meyer. - 7. The Effects of Cultural Contexts on Leadership Succession - Participation of Women and People of "Difference" in Educational Administration. - Epilogue: Contextualizing Principal Succession - Reflections on Principal Succession and Rotation in Western Countries Izhar Oplatka. - About the Contributors. - Index.
A digital correction approach of mismatches for M-channel time-interleaved ADCs

We propose a blind correction approach to eliminate the distortion imported by timing skew, gain and offset mismatches in time-interleaved analog to digital converters (TIADC). The approach works in digital domain which can be used in M-channel TIADC. The correction algorithm for timing skew mismatch is based on synthesis filter banks and the estimation algorithm uses the cross correlation of adjacent channels in TIADC system. The proposed blind correction approach can follow the mismatches and has a low complexity. Simulation results show that the proposed blind calibration method has good estimation accuracy and makes a good performance in distortional TIADC system.
CB-Cloudle and cloud crawlers

Cloud services emerge as one of the most important parts for a company. Amazon, Rackspace, Google, Microsoft, to name a few, all fight to gain a foothold as cloud services providers. CB-Cloudle, a search engine aiming to discover the available options of cloud services and to suggest the most appropriate alternatives, is presented here to meet with the end users' needs. In this work, this software platform CB-Cloudle specialised in searching for cloud services, and an automated cloud services crawler is also implemented. A k-means clustering algorithm with centroids was utilised to improve the search effectiveness and efficiency. This k-means clustering algorithm was introduced to discover the groups of similar cloud service entries, using a new similarity matrix to calculate the distance between cloud service entries.
A unified stepwise regression procedure for evaluating the relative effects of polymorphisms within a gene using case/control or family data: application to HLA in type 1 diabetes.

A stepwise logistic-regression procedure is proposed for evaluation of the relative importance of variants at different sites within a small genetic region. By fitting statistical models with main effects, rather than modeling the full haplotype effects, we generate tests, with few degrees of freedom, that are likely to be powerful for detecting primary etiological determinants. The approach is applicable to either case/control or nuclear-family data, with case/control data modeled via unconditional and family data via conditional logistic regression. Four different conditioning strategies are proposed for evaluation of effects at multiple, closely linked loci when family data are used. The first strategy results in a likelihood that is equivalent to analysis of a matched case/control study with each affected offspring matched to three pseudocontrols, whereas the second strategy is equivalent to matching each affected offspring with between one and three pseudocontrols. Both of these strategies require you be able to infer parental phase (i.e., those haplotypes present in the parents). Families in which phase cannot be determined must be discarded, which can considerably reduce the effective size of a data set, particularly when large numbers of loci that are not very polymorphic are being considered. Therefore, a third strategy is proposed in which knowledge of parental phase is not required, which allows those families with ambiguous phase to be included in the analysis. The fourth and final strategy is to use conditioning method 2 when parental phase can be inferred and to use conditioning method 3 otherwise. The methods are illustrated using nuclear-family data to evaluate the contribution of loci in the HLA region to the development of type 1 diabetes.
Scheduling within temporal partitions: response-time analysis and server design

As the bandwidth of CPUs and networks continues to grow, it becomes more attractive, for efficiency reasons, to share such resources among several applications with the minimum level of interference. This can be achieved using temporal partitions, with each application assigned to its own partition and executing as if it was executing alone on a resource with lower bandwidth. The partitions are associated to servers that execute the application tasks according to a given application-level scheduler. On the other hand, the set of servers is scheduled by a system-level scheduler. This paper addresses the particular case of fixed priorities-based application-level schedulers together with a periodic server model at the system level. It starts with an adequate response time analysis based on the notion of server availability for a known server. Then it addresses the inverse problem of designing a server with minimum system-level resource requirements to fulfill the application time constraints. In this context, the paper shows that response time based schedulability tests with linear time bounds do not need to consider all tasks but just a small subset, which may lead to substantial speed-ups. The proposed method goes a step further with respect to other recent works in the literature by considering a more complete task model, effectively computing the server parameters and establishing a better trade-off concerning complexity and tightness.
The NEURARM: towards a platform for joint neuroscience experiments on human motion control theories

This paper presents the development of new transmission components and position controller of the NEURARM hydraulic actuation unit as critical components of a novel robotic arm specifically designed to perform joint experiments between neuroscience and robotics. NEURARM replicates the main functions and characteristics of the human arm during the execution of planar movements like reaching and catching, and it was used to investigate human motion control theories, to develop and evaluate models of control, of learning and of sensory-motor interaction.
SuperTarget and Matador: resources for exploring drug-target relationships

The molecular basis of drug action is often not well understood. This is partly because the very abundant and diverse information generated in the past decades on drugs is hidden in millions of medical articles or textbooks. Therefore, we developed a one-stop data warehouse, SuperTarget that integrates drug-related information about medical indication areas, adverse drug effects, drug metabolization, pathways and Gene Ontology terms of the target proteins. An easy-to-use query interface enables the user to pose complex queries, for example to find drugs that target a certain pathway, interacting drugs that are metabolized by the same cytochrome P450 or drugs that target the same protein but are metabolized by different enzymes. Furthermore, we provide tools for 2D drug screening and sequence comparison of the targets. The database contains more than 2500 target proteins, which are annotated with about 7300 relations to 1500 drugs; the vast majority of entries have pointers to the respective literature source. A subset of these drugs has been annotated with additional binding information and indirect interactions and is available as a separate resource called Matador. SuperTarget and Matador are available at http://insilico.charite. de/supertarget and http://matador.embl. de
Inhibitory effect of zirconium oxide nanoparticles on Candida albicans adhesion to repaired polymethyl methacrylate denture bases and interim removable prostheses: a new approach for denture stomatitis prevention

Background Despite drawbacks, cold-cured acrylic resin is still the most common material used in denture repair. Zirconia nanoparticles were among the reinforcements added to increase the strength of the resin. The effect on Candida due to the addition of zirconia nanoparticles to the resin has not been investigated. Purpose The aim of this study was to evaluate the effect of zirconia nanoparticles added to cold-cured acrylic resin on Candida albicans adhesion. Materials and methods A total of 120 acrylic resin specimens with dimensions measuring 22×10×2.5 mm3 were prepared and divided into two equal groups. One group (repair) comprised heat-polymerized specimens that were sectioned at the center and prepared to create a 2 mm repair area that was repaired with cold-cured resin reinforced with 0% wt, 2.5% wt, 5% wt, and 7.5% wt zirconia nanoparticles. The second group contained intact cold-cured acrylic resin specimens reinforced with 0% wt, 2.5% wt, 5% wt, and 7.5% wt zirconia nanoparticles. Specimens were incubated at 37°C in artificial saliva containing C. albicans, and the effect of zirconia nanoparticles on C. albicans was assessed using two methods: 1) a slide count method and 2) a direct culture test. Variations in the number of living Candida were observed in relation to the different concentrations of zirconia nanoparticles. Analysis of variance (ANOVA) and post hoc Tukey’s tests were performed for data analysis. If the P-value was ≤0.05, then the difference was considered as statistically significant. Results It was found that C. albicans adhesion to repaired specimens was significantly decreased by the addition of zirconia nanoparticles (P<0.00001) in comparison with the control group. Intact cold-cured groups and groups repaired with cold-cured resin reinforced with 7.5% wt zirconia nanoparticles showed the lowest Candida count. Tukey’s test showed a significant difference between the repaired group and the intact cold-cured group, while the later demonstrated a lower Candida count. Conclusion The addition of zirconia nanoparticles to cold-cured acrylic resin is an effective method for reducing Candida adhesion to repaired polymethyl methacrylate (PMMA) denture bases and cold-cured removable prosthesis. Clinical significance Based on the results of the current study, zirconia nanoparticles have an antifungal effect, which could be incorporated in the repair material for repairing denture bases and in PMMA removable prostheses as a possible approach for denture stomatitis prevention.
Lipopolysaccharide-induced suppression of the hypothalamic gonadotropin-releasing hormone pulse generator in ovariectomized goats.

Ovariectomized goats were implanted with the electrode arrays for monitoring the electrophysiological manifestation of the activity of the hypothalamic gonadotropin-releasing hormone (GnRH) pulse generator, namely multiple-unit activity (MUA) volleys associated with pulsatile luteinizing hormone secretion. They were then subjected to i.v. challenges of lipopolysaccharide (LPS) at the dose of 200 or 400 ng/kg. The interval between the MUA volleys was significantly prolonged by higher dose of LPS whereas neither amplitude nor duration of the MUA volleys was altered. These results suggest that immunological disturbance as evoked by LPS administration directly affects the hypothalamic GnRH pulse generator by slowing down the pulse frequency, and thereby lowers gonadotropin secretion from the anterior pituitary gland, which would culminate in gonadal suppression.
Taming Dr. Frankenstein: Contract-Based Design for Cyber-Physical Systems

Cyber-physical systems combine a cyber side (computing and networking) with a physical side (mechanical, electrical, and chemical processes). In many cases, the cyber component controls the physical side using sensors and actuators that observe the physical system and actuate the controls. Such systems present the biggest challenges as well as the biggest opportunities in several large industries, including electronics, energy, automotive, defense and aerospace, telecommunications, instrumentation, industrial automation. Engineers today do successfully design cyber-physical systems in a variety of industries. Unfortunately, the development of systems is costly, and development schedules are difficult to stick to. The complexity of cyber-physical systems, and particularly the increased performance that is offered from interconnecting what in the past have been separate systems, increases the design and verification challenges. As the complexity of these systems increases, our inability to rigorously model the interactions between the physical and the cyber sides creates serious vulnerabilities. Systems become unsafe, with disastrous inexplicable failures that could not have been predicted. Distributed control of multi-scale complex systems is largely an unsolved problem. A common view that is emerging in research programs in Europe and the US is “enabling contract-based design (CBD),” which formulates a broad and aggressive scope to address urgent needs in the systems industry. We present a design methodology and a few examples in controller design whereby contract-based design can be merged with platform-based design to formulate the design process as a meet-in-the-middle approach, where design requirements are implemented in a subsequent refinement process using as much as possible elements from a library of available components. Contracts are formalizations of the conditions for correctness of element integration (horizontal contracts), for lower level of abstraction to be consistent with the higher ones, and for abstractions of available components to be faithful representations of the actual parts (vertical contracts).
A CURE for Noisy Magnetic Resonance Images: Chi-Square Unbiased Risk Estimation

In this paper, we derive an unbiased expression for the expected mean-squared error associated with continuously differentiable estimators of the noncentrality parameter of a chi-square random variable. We then consider the task of denoising squared-magnitude magnetic resonance (MR) image data, which are well modeled as independent noncentral chi-square random variables on two degrees of freedom. We consider two broad classes of linearly parameterized shrinkage estimators that can be optimized using our risk estimate, one in the general context of undecimated filterbank transforms, and the other in the specific case of the unnormalized Haar wavelet transform. The resultant algorithms are computationally tractable and improve upon most state-of-the-art methods for both simulated and actual MR image data.
Scoring the 5-Level EQ-5D

Background: The EuroQol Group is evaluating the use of discrete choice experiments (DCEs) in valuing health states from the 5-level EQ-5D. Notably, a discrete choice (DC) model yields a latent utility that is ordinal and unbounded, whereas health utilities must have interval properties and be anchored at 0 (representing death) and 1 (representing full health). Latent utilities must therefore be transformed to health utilities. This pilot study investigated the feasibility of performing such a transformation. Methods: 545 respondents from Canada and 403 respondents from the UK each completed a series of DC and time tradeoff (TTO) tasks. Generalized linear mixed models were used to derive latent utilities. Linear regression models incorporating logarithmic and polynomial terms, as well as nonparametric LOESS and spline models, were assessed as candidate functions for transforming the latent utilities onto the health utilities. Results: There was a high correlation between health utilities measured through TTO tasks and latent utilities derived from modeling of DC data (Spearman rho of 0.79 in Canada and 0.86 in the UK). All transforming functions explained the between-state variation in health utilities and, upon cross-validation, had minimal bias and small mean squared errors. Although the transformation functions derived through linear regression had the desirable feature of being monotone, the LOESS transform in Canada and the spline transform in the UK lacked monotonicity. Conclusions: This pilot study suggests that transforming latent utilities to health utilities is feasible, and the study provides preliminary evidence that linear regression involving polynomial and logarithmic terms may be more desirable than nonparametric spline or LOESS functions.
Immunohistochemical Evaluation of Androgen Receptor and Nerve Structure Density in Human Prepuce from Patients with Persistent Sexual Side Effects after Finasteride Use for Androgenetic Alopecia

Finasteride is an inhibitor of 5-α-reductase used against male androgenetic alopecia (AGA). Reported side effects of finasteride comprise sexual dysfunction including erectile dysfunction, male infertility, and loss of libido. Recently these effects were described as persistent in some subjects. Molecular events inducing persistent adverse sexual symptoms are unexplored. This study was designed as a retrospective case-control study to assess if androgen receptor (AR) and nerve density in foreskin prepuce specimens were associated with persistent sexual side effects including loss of sensitivity in the genital area due to former finasteride use against AGA. Cases were 8 males (aged 29–43 years) reporting sexual side effects including loss of penis sensitivity over 6 months after discontinuation of finasteride who were interviewed and clinically visited. After informed consent they were invited to undergo a small excision of skin from prepuce. Controls were 11 otherwise healthy matched men (aged 23–49 years) who undergone circumcision for phimosis, and who never took finasteride or analogues. Differences in AR expression and nerve density in different portions of dermal prepuce were evaluated in the 2 groups. Density of nuclear AR in stromal and epithelial cells was higher in cases (mean 40.0%, and 80.6% of positive cells, respectively) than controls (mean 23.4%, and 65.0% of positive cells, respectively), P = 0.023 and P = 0.043, respectively. Conversely, percentage of vessel smooth muscle cells positive for AR and density of nerves were similar in the 2 groups. The ratio of AR positive stromal cells % to serum testosterone concentrations was 2-fold higher in cases than in controls (P = 0.001). Our findings revealed that modulation of local AR levels might be implicated in long-term side effects of finasteride use. This provides the first evidence of a molecular objective difference between patients with long-term adverse sexual effects after finasteride use versus drug untreated healthy controls in certain tissues.
From Healing the Whole Person: An Argument for Therapeutic Touch as a Complement to Traditional Medical Practice

The growing popularity and use of therapeutic touch (TT) is an issue that has generated controversy and concern within the medical community. While anecdotal and traditional scientific evidence suggest that TT would be an advantageous addition for clinics and hospitals to include in their armamentarium of complementary interventions within the realm of traditional medicine, TT has not become widely available in the U.S. One reason for the lack of availability may be the dearth of conclusive scientific support for TT's efficacy and, therefore, its inclusion in clinic and hospital treatment planning would give it the appearance of legitimate practice, which it may not yet deserve. Whether or not deserved, if TT were added to hospital and clinic treatment protocols without substantial scientific support, it would be thought to have the implicit support of the scientific community, at which point the question of its efficacy would be moot in the minds of many people; thus patients would utilize it, because they believe it works rather than because it works. Since TT has not yet been scientifically proven as per Western standards, leaders of the health care community are likely wary of lending support to TT at this time. If TT can be found to be a scientifically sound therapeutic technique, then it will be more readily accepted in the health care community. This paper reviews TT.
Leukocyte Telomere Length in Relation to Pancreatic Cancer Risk: A Prospective Study

Background: Several studies have examined leukocyte telomere length (LTL) as a possible predictor for cancer at various organ sites. The hypothesis originally motivating many of these studies was that shorter telomeres would be associated with an increase in cancer risk; the results of epidemiologic studies have been inconsistent, however, and suggested positive, negative, or null associations. Two studies have addressed the association of LTL in relation to pancreatic cancer risk and the results are contrasting. Methods: We measured LTL in a prospective study of 331 pancreatic cancer cases and 331 controls in the context of the European Prospective Investigation into Cancer and Nutrition (EPIC). Results: We observed that the mean LTL was higher in cases (0.59 ± 0.20) than in controls (0.57 ± 0.17), although this difference was not statistically significant (P = 0.07), and a basic logistic regression model showed no association of LTL with pancreas cancer risk. When adjusting for levels of HbA1c and C-peptide, however, there was a weakly positive association between longer LTL and pancreatic cancer risk [OR, 1.13; 95% confidence interval (CI), 1.01–1.27]. Additional analyses by cubic spline regression suggested a possible nonlinear relationship between LTL and pancreatic cancer risk (P = 0.022), with a statistically nonsignificant increase in risk at very low LTL, as well as a significant increase at high LTL. Conclusion: Taken together, the results from our study do not support LTL as a uniform and strong predictor of pancreatic cancer. Impact: The results of this article can provide insights into telomere dynamics and highlight the complex relationship between LTL and pancreatic cancer risk. Cancer Epidemiol Biomarkers Prev; 23(11); 2447–54. ©2014 AACR.
Learning Cost-Aware , Loss-Aware Approximate Inference Policies for Probabilistic Graphical Models

Probabilistic graphical models are typically trained to maximize the likelihood of the training data and evaluated on some measure of accuracy on the test data. However, we are also interested in learning to produce predictions quickly. For example, one can speed up loopy belief propagation by choosing sparser models and by stopping at some point before convergence. We manage the speed-accuracy tradeoff by explicitly optimizing for a linear combination of speed and accuracy. Although this objective is not differentiable, we can compute the gradient of a smoothed version.