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Evaluation of treatment programs for abusers of nonopiate drugs : problems and approaches. Volume 3 / Wynne Associates for Division of Research, National Institute on Drug Abuse, Alcohol, Drug Abuse and Mental Health Administration, Department of Health,

Washington, D.C. : Wynne Associates, [1974]




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Sydney in 1848 : illustrated by copper-plate engravings of its principal streets, public buildings, churches, chapels, etc. / from drawings by Joseph Fowles.




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Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview

A. Philip Dawid, Vanessa Didelez

Source: Statist. Surv., Volume 4, 184--231.

Abstract:
We consider the problem of learning about and comparing the consequences of dynamic treatment strategies on the basis of observational data. We formulate this within a probabilistic decision-theoretic framework. Our approach is compared with related work by Robins and others: in particular, we show how Robins’s ‘ G -computation’ algorithm arises naturally from this decision-theoretic perspective. Careful attention is paid to the mathematical and substantive conditions required to justify the use of this formula. These conditions revolve around a property we term stability , which relates the probabilistic behaviours of observational and interventional regimes. We show how an assumption of ‘sequential randomization’ (or ‘no unmeasured confounders’), or an alternative assumption of ‘sequential irrelevance’, can be used to infer stability. Probabilistic influence diagrams are used to simplify manipulations, and their power and limitations are discussed. We compare our approach with alternative formulations based on causal DAGs or potential response models. We aim to show that formulating the problem of assessing dynamic treatment strategies as a problem of decision analysis brings clarity, simplicity and generality.

References:
Arjas, E. and Parner, J. (2004). Causal reasoning from longitudinal data. Scandinavian Journal of Statistics 31 171–187.

Arjas, E. and Saarela, O. (2010). Optimal dynamic regimes: Presenting a case for predictive inference. The International Journal of Biostatistics 6. http://tinyurl.com/33dfssf

Cowell, R. G., Dawid, A. P., Lauritzen, S. L. and Spiegelhalter, D. J. (1999). Probabilistic Networks and Expert Systems. Springer, New York.

Dawid, A. P. (1979). Conditional independence in statistical theory (with Discussion). Journal of the Royal Statistical Society, Series B 41 1–31.

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Dawid, A. P. (1998). Conditional independence. In Encyclopedia of Statistical Science ({U}pdate Volume 2) ( S. Kotz, C. B. Read and D. L. Banks, eds.) 146–155. Wiley-Interscience, New York.

Dawid, A. P. (2000). Causal inference without counterfactuals (with Discussion). Journal of the American Statistical Association 95 407–448.

Dawid, A. P. (2001). Separoids: A mathematical framework for conditional independence and irrelevance. Annals of Mathematics and Artificial Intelligence 32 335–372.

Dawid, A. P. (2002). Influence diagrams for causal modelling and inference. International Statistical Review 70 161–189. Corrigenda, ibid ., 437.

Dawid, A. P. (2003). Causal inference using influence diagrams: The problem of partial compliance (with Discussion). In Highly Structured Stochastic Systems ( P. J. Green, N. L. Hjort and S. Richardson, eds.) 45–81. Oxford University Press.

Dawid, A. P. (2010). Beware of the DAG! In Proceedings of the NIPS 2008 Workshop on Causality. Journal of Machine Learning Research Workshop and Conference Proceedings ( D. Janzing, I. Guyon and B. Schölkopf, eds.) 6 59–86. http://tinyurl.com/33va7tm

Dawid, A. P. and Didelez, V. (2008). Identifying optimal sequential decisions. In Proceedings of the Twenty-Fourth Annual Conference on Uncertainty in Artificial Intelligence (UAI-08) ( D. McAllester and A. Nicholson, eds.). 113-120. AUAI Press, Corvallis, Oregon. http://tinyurl.com/3899qpp

Dechter, R. (2003). Constraint Processing. Morgan Kaufmann Publishers.

Didelez, V., Dawid, A. P. and Geneletti, S. G. (2006). Direct and indirect effects of sequential treatments. In Proceedings of the Twenty-Second Annual Conference on Uncertainty in Artificial Intelligence (UAI-06) ( R. Dechter and T. Richardson, eds.). 138-146. AUAI Press, Arlington, Virginia. http://tinyurl.com/32w3f4e

Didelez, V., Kreiner, S. and Keiding, N. (2010). Graphical models for inference under outcome dependent sampling. Statistical Science (to appear).

Didelez, V. and Sheehan, N. S. (2007). Mendelian randomisation: Why epidemiology needs a formal language for causality. In Causality and Probability in the Sciences, ( F. Russo and J. Williamson, eds.). Texts in Philosophy Series 5 263–292. College Publications, London.

Eichler, M. and Didelez, V. (2010). Granger-causality and the effect of interventions in time series. Lifetime Data Analysis 16 3–32.

Ferguson, T. S. (1967). Mathematical Statistics: A Decision Theoretic Approach. Academic Press, New York, London.

Geneletti, S. G. (2007). Identifying direct and indirect effects in a non–counterfactual framework. Journal of the Royal Statistical Society: Series B 69 199–215.

Geneletti, S. G. and Dawid, A. P. (2010). Defining and identifying the effect of treatment on the treated. In Causality in the Sciences ( P. M. Illari, F. Russo and J. Williamson, eds.) Oxford University Press (to appear).

Gill, R. D. and Robins, J. M. (2001). Causal inference for complex longitudinal data: The continuous case. Annals of Statistics 29 1785–1811.

Guo, H. and Dawid, A. P. (2010). Sufficient covariates and linear propensity analysis. In Proceedings of the Thirteenth International Workshop on Artificial Intelligence and Statistics, (AISTATS) 2010, Chia Laguna, Sardinia, Italy, May 13-15, 2010. Journal of Machine Learning Research Workshop and Conference Proceedings ( Y. W. Teh and D. M. Titterington, eds.) 9 281–288. http://tinyurl.com/33lmuj7

Henderson, R., Ansel, P. and Alshibani, D. (2010). Regret-regression for optimal dynamic treatment regimes. Biometrics (to appear). doi:10.1111/j.1541-0420.2009.01368.x

Hernán, M. A. and Taubman, S. L. (2008). Does obesity shorten life? The importance of well defined interventions to answer causal questions. International Journal of Obesity 32 S8–S14.

Holland, P. W. (1986). Statistics and causal inference (with Discussion). Journal of the American Statistical Association 81 945–970.

Huang, Y. and Valtorta, M. (2006). Identifiability in causal Bayesian networks: A sound and complete algorithm. In AAAI’06: Proceedings of the 21st National Conference on Artificial Intelligence 1149–1154. AAAI Press.

Kang, J. D. Y. and Schafer, J. L. (2007). Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data. Statistical Science 22 523–539.

Lauritzen, S. L., Dawid, A. P., Larsen, B. N. and Leimer, H. G. (1990). Independence properties of directed Markov fields. Networks 20 491–505.

Lok, J., Gill, R., van der Vaart, A. and Robins, J. (2004). Estimating the causal effect of a time-varying treatment on time-to-event using structural nested failure time models. Statistica Neerlandica 58 271–295.

Moodie, E. M., Richardson, T. S. and Stephens, D. A. (2007). Demystifying optimal dynamic treatment regimes. Biometrics 63 447–455.

Murphy, S. A. (2003). Optimal dynamic treatment regimes (with Discussion). Journal of the Royal Statistical Society, Series B 65 331-366.

Oliver, R. M. and Smith, J. Q., eds. (1990). Influence Diagrams, Belief Nets and Decision Analysis. John Wiley and Sons, Chichester, United Kingdom.

Pearl, J. (1995). Causal diagrams for empirical research (with Discussion). Biometrika 82 669-710.

Pearl, J. (2009). Causality: Models, Reasoning and Inference, Second ed. Cambridge University Press, Cambridge.

Pearl, J. and Paz, A. (1987). Graphoids: A graph-based logic for reasoning about relevance relations. In Advances in Artificial Intelligence ( D. Hogg and L. Steels, eds.) II 357–363. North-Holland, Amsterdam.

Pearl, J. and Robins, J. (1995). Probabilistic evaluation of sequential plans from causal models with hidden variables. In Proceedings of the 11th Conference on Uncertainty in Artificial Intelligence ( P. Besnard and S. Hanks, eds.) 444–453. Morgan Kaufmann Publishers, San Francisco.

Raiffa, H. (1968). Decision Analysis. Addison-Wesley, Reading, Massachusetts.

Robins, J. M. (1986). A new approach to causal inference in mortality studies with sustained exposure periods—Application to control of the healthy worker survivor effect. Mathematical Modelling 7 1393–1512.

Robins, J. M. (1987). Addendum to “A new approach to causal inference in mortality studies with sustained exposure periods—Application to control of the healthy worker survivor effect”. Computers & Mathematics with Applications 14 923–945.

Robins, J. M. (1989). The analysis of randomized and nonrandomized AIDS treatment trials using a new approach to causal inference in longitudinal studies. In Health Service Research Methodology: A Focus on AIDS ( L. Sechrest, H. Freeman and A. Mulley, eds.) 113–159. NCSHR, U.S. Public Health Service.

Robins, J. M. (1992). Estimation of the time-dependent accelerated failure time model in the presence of confounding factors. Biometrika 79 321–324.

Robins, J. M. (1997). Causal inference from complex longitudinal data. In Latent Variable Modeling and Applications to Causality, ( M. Berkane, ed.). Lecture Notes in Statistics 120 69–117. Springer-Verlag, New York.

Robins, J. M. (1998). Structural nested failure time models. In Survival Analysis, ( P. K. Andersen and N. Keiding, eds.). Encyclopedia of Biostatistics 6 4372–4389. John Wiley and Sons, Chichester, UK.

Robins, J. M. (2000). Robust estimation in sequentially ignorable missing data and causal inference models. In Proceedings of the American Statistical Association Section on Bayesian Statistical Science 1999 6–10.

Robins, J. M. (2004). Optimal structural nested models for optimal sequential decisions. In Proceedings of the Second Seattle Symposium on Biostatistics ( D. Y. Lin and P. Heagerty, eds.) 189–326. Springer, New York.

Robins, J. M., Greenland, S. and Hu, F. C. (1999). Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome. Journal of the American Statistical Association 94 687–700.

Robins, J. M., Hernán, M. A. and Brumback, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology 11 550–560.

Robins, J. M. and Wasserman, L. A. (1997). Estimation of effects of sequential treatments by reparameterizing directed acyclic graphs. In Proceedings of the 13th Annual Conference on Uncertainty in Artificial Intelligence ( D. Geiger and P. Shenoy, eds.) 409-420. Morgan Kaufmann Publishers, San Francisco. http://tinyurl.com/33ghsas

Rosthøj, S., Fullwood, C., Henderson, R. and Stewart, S. (2006). Estimation of optimal dynamic anticoagulation regimes from observational data: A regret-based approach. Statistics in Medicine 25 4197–4215.

Shpitser, I. and Pearl, J. (2006a). Identification of conditional interventional distributions. In Proceedings of the 22nd Annual Conference on Uncertainty in Artificial Intelligence (UAI-06) ( R. Dechter and T. Richardson, eds.). 437–444. AUAI Press, Corvallis, Oregon. http://tinyurl.com/2um8w47

Shpitser, I. and Pearl, J. (2006b). Identification of joint interventional distributions in recursive semi-Markovian causal models. In Proceedings of the Twenty-First National Conference on Artificial Intelligence 1219–1226. AAAI Press, Menlo Park, California.

Spirtes, P., Glymour, C. and Scheines, R. (2000). Causation, Prediction and Search, Second ed. Springer-Verlag, New York.

Sterne, J. A. C., May, M., Costagliola, D., de Wolf, F., Phillips, A. N., Harris, R., Funk, M. J., Geskus, R. B., Gill, J., Dabis, F., Miro, J. M., Justice, A. C., Ledergerber, B., Fatkenheuer, G., Hogg, R. S., D’Arminio-Monforte, A., Saag, M., Smith, C., Staszewski, S., Egger, M., Cole, S. R. and When To Start Consortium (2009). Timing of initiation of antiretroviral therapy in AIDS-Free HIV-1-infected patients: A collaborative analysis of 18 HIV cohort studies. Lancet 373 1352–1363.

Taubman, S. L., Robins, J. M., Mittleman, M. A. and Hernán, M. A. (2009). Intervening on risk factors for coronary heart disease: An application of the parametric g-formula. International Journal of Epidemiology 38 1599–1611.

Tian, J. (2008). Identifying dynamic sequential plans. In Proceedings of the Twenty-Fourth Annual Conference on Uncertainty in Artificial Intelligence (UAI-08) ( D. McAllester and A. Nicholson, eds.). 554–561. AUAI Press, Corvallis, Oregon. http://tinyurl.com/36ufx2h

Verma, T. and Pearl, J. (1990). Causal networks: Semantics and expressiveness. In Uncertainty in Artificial Intelligence 4 ( R. D. Shachter, T. S. Levitt, L. N. Kanal and J. F. Lemmer, eds.) 69–76. North-Holland, Amsterdam.




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Racing for the surface : pathogenesis of implant infection and advanced antimicrobial strategies

9783030344757 (electronic bk.)




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Mayo Clinic strategies to reduce burnout : 12 actions to create the ideal workplace

Swensen, Stephen J., author.
9780190848996 electronic book




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In china's wake : how the commodity boom transformed development strategies in the global south

Jepson, Nicholas, author.
9780231547598 electronic book




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Agri-food industry strategies for healthy diets and sustainability : new challenges in nutrition and public health

9780128172261




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Bayesian methods for multiple mediators: Relating principal stratification and causal mediation in the analysis of power plant emission controls

Chanmin Kim, Michael J. Daniels, Joseph W. Hogan, Christine Choirat, Corwin M. Zigler.

Source: The Annals of Applied Statistics, Volume 13, Number 3, 1927--1956.

Abstract:
Emission control technologies installed on power plants are a key feature of many air pollution regulations in the US. While such regulations are predicated on the presumed relationships between emissions, ambient air pollution and human health, many of these relationships have never been empirically verified. The goal of this paper is to develop new statistical methods to quantify these relationships. We frame this problem as one of mediation analysis to evaluate the extent to which the effect of a particular control technology on ambient pollution is mediated through causal effects on power plant emissions. Since power plants emit various compounds that contribute to ambient pollution, we develop new methods for multiple intermediate variables that are measured contemporaneously, may interact with one another, and may exhibit joint mediating effects. Specifically, we propose new methods leveraging two related frameworks for causal inference in the presence of mediating variables: principal stratification and causal mediation analysis. We define principal effects based on multiple mediators, and also introduce a new decomposition of the total effect of an intervention on ambient pollution into the natural direct effect and natural indirect effects for all combinations of mediators. Both approaches are anchored to the same observed-data models, which we specify with Bayesian nonparametric techniques. We provide assumptions for estimating principal causal effects, then augment these with an additional assumption required for causal mediation analysis. The two analyses, interpreted in tandem, provide the first empirical investigation of the presumed causal pathways that motivate important air quality regulatory policies.




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Stratonovich type integration with respect to fractional Brownian motion with Hurst parameter less than $1/2$

Jorge A. León.

Source: Bernoulli, Volume 26, Number 3, 2436--2462.

Abstract:
Let $B^{H}$ be a fractional Brownian motion with Hurst parameter $Hin (0,1/2)$ and $p:mathbb{R} ightarrow mathbb{R}$ a polynomial function. The main purpose of this paper is to introduce a Stratonovich type stochastic integral with respect to $B^{H}$, whose domain includes the process $p(B^{H})$. That is, an integral that allows us to integrate $p(B^{H})$ with respect to $B^{H}$, which does not happen with the symmetric integral given by Russo and Vallois ( Probab. Theory Related Fields 97 (1993) 403–421) in general. Towards this end, we combine the approaches utilized by León and Nualart ( Stochastic Process. Appl. 115 (2005) 481–492), and Russo and Vallois ( Probab. Theory Related Fields 97 (1993) 403–421), whose aims are to extend the domain of the divergence operator for Gaussian processes and to define some stochastic integrals, respectively. Then, we study the relation between this Stratonovich integral and the extension of the divergence operator (see León and Nualart ( Stochastic Process. Appl. 115 (2005) 481–492)), an Itô formula and the existence of a unique solution of some Stratonovich stochastic differential equations. These last results have been analyzed by Alòs, León and Nualart ( Taiwanese J. Math. 5 (2001) 609–632), where the Hurst paramert $H$ belongs to the interval $(1/4,1/2)$.




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Stratonovich stochastic differential equation with irregular coefficients: Girsanov’s example revisited

Ilya Pavlyukevich, Georgiy Shevchenko.

Source: Bernoulli, Volume 26, Number 2, 1381--1409.

Abstract:
In this paper, we study the Stratonovich stochastic differential equation $mathrm{d}X=|X|^{alpha }circ mathrm{d}B$, $alpha in (-1,1)$, which has been introduced by Cherstvy et al. ( New J. Phys. 15 (2013) 083039) in the context of analysis of anomalous diffusions in heterogeneous media. We determine its weak and strong solutions, which are homogeneous strong Markov processes spending zero time at $0$: for $alpha in (0,1)$, these solutions have the form egin{equation*}X_{t}^{ heta }=((1-alpha)B_{t}^{ heta })^{1/(1-alpha )},end{equation*} where $B^{ heta }$ is the $ heta $-skew Brownian motion driven by $B$ and starting at $frac{1}{1-alpha }(X_{0})^{1-alpha }$, $ heta in [-1,1]$, and $(x)^{gamma }=|x|^{gamma }operatorname{sign}x$; for $alpha in (-1,0]$, only the case $ heta =0$ is possible. The central part of the paper consists in the proof of the existence of a quadratic covariation $[f(B^{ heta }),B]$ for a locally square integrable function $f$ and is based on the time-reversion technique for Markovian diffusions.




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Box 3: Children's book illustrations by various artists, Peg Maltby and Dorothy Wall, , ca. 1932-1975




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Box 4: Children's book illustrations by various artists, Dorothy Wall, ca. 1932




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Box 6: Children's book illustrations by various artists, Dorothy Wall and Noela Young, ca. 1932-1964




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Sydney in 1848 : illustrated by copper-plate engravings of its principal streets, public buildings, churches, chapels, etc. / from drawings by Joseph Fowles.




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‘Selfish, tribal and divided’: Barack Obama warns of changes to American way of life in leaked audio slamming Trump administration

Barack Obama said the “rule of law is at risk” following the justice department’s decision to drop charges against former Trump advisor Mike Flynn, as he issued a stark warning about the long-term impact on the American way of life by his successor.





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Comment: “Models as Approximations I: Consequences Illustrated with Linear Regression” by A. Buja, R. Berk, L. Brown, E. George, E. Pitkin, L. Zhan and K. Zhang

Roderick J. Little.

Source: Statistical Science, Volume 34, Number 4, 580--583.




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Models as Approximations I: Consequences Illustrated with Linear Regression

Andreas Buja, Lawrence Brown, Richard Berk, Edward George, Emil Pitkin, Mikhail Traskin, Kai Zhang, Linda Zhao.

Source: Statistical Science, Volume 34, Number 4, 523--544.

Abstract:
In the early 1980s, Halbert White inaugurated a “model-robust” form of statistical inference based on the “sandwich estimator” of standard error. This estimator is known to be “heteroskedasticity-consistent,” but it is less well known to be “nonlinearity-consistent” as well. Nonlinearity, however, raises fundamental issues because in its presence regressors are not ancillary, hence cannot be treated as fixed. The consequences are deep: (1) population slopes need to be reinterpreted as statistical functionals obtained from OLS fits to largely arbitrary joint ${x extrm{-}y}$ distributions; (2) the meaning of slope parameters needs to be rethought; (3) the regressor distribution affects the slope parameters; (4) randomness of the regressors becomes a source of sampling variability in slope estimates of order $1/sqrt{N}$; (5) inference needs to be based on model-robust standard errors, including sandwich estimators or the ${x extrm{-}y}$ bootstrap. In theory, model-robust and model-trusting standard errors can deviate by arbitrary magnitudes either way. In practice, significant deviations between them can be detected with a diagnostic test.




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Increased Neural Activity in Mesostriatal Regions after Prefrontal Transcranial Direct Current Stimulation and L-DOPA Administration

Benjamin Meyer
Jul 3, 2019; 39:5326-5335
Systems/Circuits




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The new BIS strategy - bringing the Americas and Basel closer together

Speech by Mr Agustín Carstens, General Manager of the BIS, at the Fourteenth ASBA-BCBS-FSI High-level Meeting on Global and Regional Supervisory Priorities, Lima, 1 October 2019.




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Oblique Strategy #90

Once the search has begun, something will be found




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Neural Correlates of Strategy Switching in the Macaque Orbital Prefrontal Cortex

We can adapt flexibly to environment changes and search for the most appropriate rule to a context. The orbital prefrontal cortex (PFo) has been associated with decision making, rule generation and maintenance, and more generally has been considered important for behavioral flexibility. To better understand the neural mechanisms underlying the flexible behavior, we studied the ability to generate a switching signal in monkey PFo when a strategy is changed. In the strategy task, we used a visual cue to instruct two male rhesus monkeys either to repeat their most recent choice (i.e., stay strategy) or to change it (i.e., shift strategy). To identify the strategy switching-related signal, we compared nonswitch and switch trials, which cued the same or a different strategy from the previous trial, respectively. We found that the switching-related signal emerged during the cue presentation and it was combined with the strategy signal in a subpopulation of cells. Moreover, the error analysis showed that the activity of the switch-related cells reflected whether the monkeys erroneously switched or not the strategy, rather than what was required for that trial. The function of the switching signal could be to prompt the use of different strategies when older strategies are no longer appropriate, conferring the ability to adapt flexibly to environmental changes. In our task, the switching signal might contribute to the implementation of the strategy cued, overcoming potential interference effects from the strategy previously cued. Our results support the idea that ascribes to PFo an important role for behavioral flexibility.

SIGNIFICANCE STATEMENT We can flexibly adapt our behavior to a changing environment. One of the prefrontal areas traditionally associated with the ability to adapt to new contingencies is the orbital prefrontal cortex (PFo). We analyzed the switching related activity using a strategy task in which two rhesus monkeys were instructed by a visual cue either to repeat or change their most recent choice, respectively using a stay or a shift strategy. We found that PFo neurons were modulated by the strategy switching signal, pointing to the importance of PFo in behavioral flexibility by generating control over the switching of strategies.




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Children's Book Author and Illustrator Tomie dePaola Dies at 85

Over his five-decade-plus career, the "Strega Nona" author contributed to more than 270 books




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Alberta doctors push back against government's 'divide-and-conquer' strategy

"It is unfortunate that it has come to pass that we have to collectively and overtly publicly declare that we are unified," says Alberta Medical Association president Christine Molnar.



  • News/Canada/Edmonton

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Frustrations mount for parents awaiting refund for school trips lost to COVID-19

Some school travel groups in Cape Breton that had trips cancelled in March due to COVID-19 are still waiting to get their money back.



  • News/Canada/Nova Scotia

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An Illustrated Letter for Mother’s Day

While traveling in Israel in 1948, Leonard Bernstein wrote a letter to his mother with beautiful illustrations by artist Jossi Stern. In anticipation of Mother's Day weekend, "In the Muse" highlights that digitized letter from the Leonard Bernstein Collection and encourages readers to send illustrated letters of their own.





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Trump administration shelves expert guidelines on reopening U.S. economy

Documents created by the top disease investigators in the U.S. meant to give step-by-step advice to local leaders deciding when and how to reopen public places such as mass transit, day care centres and restaurants during the still-raging pandemic have been shelved by the Trump administration.




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Health administration students learn to manage rapid changes in health care

Students in Penn State’s Master of Health Administration program are learning first-hand how the skills and competencies they are acquiring in the classroom will be applied in their professional careers. A recent virtual roundtable event provided opportunities for students to learn real-world strategies from health care industry leaders that are being applied in response to the COVID-19 pandemic.




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'X-ray teardown' of iPad Pro Magic Keyboard illustrates complex engineering



Repair site iFixit has shared x-ray photographs of the new Magic Keyboard for iPad Pro, and they reveal an accessory more complicated than it might appear from the outside.




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Zimbabwe: In Search of a New Strategy




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Zimbabwe: An Opposition Strategy




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Strategic Worship Outings create chance for connection

An incorrect GPS coordinate leads a worship team to the end of the road, yet God has another route planned.




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Kyle Coetzer frustrated by Scotland's cricket shutdown

THE irony that the recent weather would have been ideal for the start of the domestic cricket season is not lost on Kyle Coetzer.




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Passenger terminal at BER approved for use / Dahme-Spreewald administrative district grants approval

The Dahme-Spreewald administrative district’s local building inspection authority confirmed the completion of the passenger terminal (Terminal 1) at BER following completion of the construction work.




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Coronavirus: Professor raises 'big problem' with Nicola Sturgeon's test, trace, isolate strategy

A PUBLIC health professor has warned that the Scottish Government’s strategy to escape the lockdown will encounter “a big problem” unless test results can be provided quicker.




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E-Learning Overload: 8 Tips Educators Can Give Frustrated, Anxious Parents

Many parents are having to take on a variety of new roles, from playing IT help desk to becoming makeshift teaching assistants to supervising recess.




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Coronavirus Prompting E-Learning Strategies

Schools and tech companies in the U.S. and abroad have experience deploying virtual learning should a coronavirus emergency arise.




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Coronavirus: Edinburgh nursery projects in doubt as construction company in administration

FIVE new nursery extensions being built at schools across Edinburgh have been thrown into doubt after the company building the facilities entered administration.




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Coronavirus in Scotland: Testing strategy to be reviewed amid care worker reports

THE SCOTTISH Government is reviewing its Covid-19 testing strategy after the Deputy First Minster has been left “frustrated” by reports home care workers have been told to travel to the other side of Scotland for tests.




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Education Programs Would Be Spared Under Trump Administration's Green Card Proposal

While the Trump administration proposal would not strip student eligibility for Head Start, the federal school lunch program, or the Individual with Disabilities Education Act, it could still affect millions of school-aged children who live with immigrant parents.




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Kansas City Data-Sharing Effort Showcases Ballmer Group's Strategy

A $59 million investment in software developer Social Solutions aims to ease the flow of data among schools and social service providers.




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Letters: Every country needs its own specific Covid-19 strategy

NEIL Mackay (“Johnson? Sturgeon? When it comes to coronavirus they are both the same”, The Herald, May 5) lambasts Nicola Sturgeon and Boris Johnson for both taking an almost identical approach in their fight against Covid-19, somehow implying that this is in itself a fault.




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E-Learning Overload: 8 Tips Educators Can Give Frustrated, Anxious Parents

Many parents are having to take on a variety of new roles, from playing IT help desk to becoming makeshift teaching assistants to supervising recess.




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Response: Administrators Shouldn't Try 'Too Many Initiatives'

A five-part series on mistakes made by school administrators is wrapped-up today with commentaries from Dr. Lynell Powell, Stuart Ablon, Alisha Pollastri, Diane Mora and many comments from readers




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A Classroom Strategy: Drawing Arguments From Evidence (Video)

William Leou, a 6th grade science teacher at the Brooklyn School for Collaborative Studies, uses an organizational worksheet to help students draw arguments from evidence.




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A Classroom Strategy: Student-Teacher Conferences Promote Learning (Video)

Chris Knutson, an 8th grade history teacher at Horning Middle School in Waukesha, Wis., shares how he incorporates learning conferences into his lessons.




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Reducir la deforestación e incrementar captura de CO2 en el suelo, una estrategia climática y de seguridad alimentaria

Source: El Periódico - Las políticas climáticas que se centran en la agricultura y los bosques podrían llevar al aumento de los precios de los alimentos, pero reducir la deforestación e incrementar la captura de carbono en la agricultura podría reducir significativamente las emisiones de gases de efecto invernadero, evitando riesgos para la seguridad alimentaria, según un nuevo estudio publicado en 'Environmental Research Letters'.




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Risk Stratification of Children Being Evaluated for Intussusception

Intussusception is the most common cause of intestinal obstruction in young children. To date, there have been no prospective studies that have been able to develop a reliable clinical prediction model to determine which patients are at low risk for intussusception.

This study is the largest prospective cohort study to date to evaluate children with possible intussusception. It includes both univariate and multivariate analyses to develop clinical prediction models for patients at low risk for intussusception. (Read the full article)




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A Decision-Tree Approach to Cost Comparison of Newborn Screening Strategies for Cystic Fibrosis

Although it has been shown that cystic fibrosis newborn screening is beneficial, the strategies vary widely, and there has been uncertainty about the costs and consequences of different algorithms and whether screening methods/decisions should be based on assumed cost differences.

This study contributes by offering a comparison of both costs, assessed comprehensively, and the consequences associated with the 2 most popular screening methodologies, immunoreactive trypsinogen/immunoreactive trypsinogen and immunoreactive trypsinogen/DNA, by using a decision-tree framework allowing variation in the model parameters. (Read the full article)




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Clinical Research Involving Children: Registration, Completeness, and Publication

Existing clinical research policy does not guarantee availability of results. Registration on the Web site ClinicalTrials.gov and the Food and Drug Administration Amendments Act improved transparency in pediatric clinical research. Registration and publication remain voluntary for many trials involving children.

Only 29% of completed registered studies and 53% of National Institutes of Health–funded trials involving children were published. Numbers of studies are increasing. Registration and posting of results on ClinicalTrials.gov should be mandatory for all studies involving children. (Read the full article)