"Artist uses snow as canvas for massive geometrical designs," by Thomas Peipert, AP, January 16, 2020.

(New Jersey Institute of Technology) A team of NJIT physicists has developed a novel test swab that can be 3D printed using inexpensive, widely available materials and speedily assembled in a range of fabrication settings. To augment the nation's testing capabilities, the inventors are making the swab's design publicly available, free of licensing fees, during the COVID-19 emergency.

Frederick J. Bloom
Jul 1, 2010; 23:165-169
From Research to Practice

24 July 2019

Cyberattacks are increasingly challenging critical national infrastructure. This paper considers the security by design approach for civil nuclear power plants and analyses areas of risk and opportunities for the nuclear industry.

The majority of epithelial tumors recruits fibroblasts and other non-malignant cells and activates them into cancer-associated fibroblasts. This often leads to overexpression of the membrane serine protease fibroblast-activating protein (FAP). It has already been shown that DOTA-bearing FAP inhibitors (FAPIs) generate high contrast images with PET/CT scans. Since SPECT is a lower cost and more widely available alternative to PET, ^99mTc-labeled FAPIs represent attractive tracers for imaging applicable in a larger number of patients. Furthermore, the chemically homologous nuclide 188Re is available from generators, which allows FAP-targeted endoradiotherapy. Methods: For the preparation of ^99mTc tricarbonyl complexes, a chelator was selected whose carboxylic acids can easily be converted into various derivatives in the finished product. This enabled a platform strategy based on the original tracer. The obtained ^99mTc complexes were investigated in vitro by binding and competition experiments on FAP-transfected HT-1080 (HT-1080-FAP) and/or on mouse FAP expressing (HEK-muFAP) and CD26-expressing (HEKCD26) HEK cells and characterized by planar scintigraphy and organ distribution studies in tumor-bearing mice. Furthermore, a first-in-man application was done in two patients with ovarian and pancreatic cancer, respectively. Results: ^99mTc-FAPI-19 showed specific binding to recombinant FAP-expressing cells with high affinity. Unfortunately, liver accumulation, biliary excretion and no tumor uptake were observed in the planar scintigraphy of a HT-1080-FAP xenotranplanted mouse. To improve the pharmacokinetic properties hydrophilic amino acids were attached to the chelator moiety of the compound. The resulting ^99mTc-labeled FAPI tracers revealed excellent binding properties (up to 45 % binding; above 95 % internalization), high affinity (IC50 = 6.4 nM to 12.7 nM), and significant tumor uptake (up to 5.4 %ID/g) in biodistribution studies. The lead candidate ^99mTc-FAPI-34 was applied for diagnostic scintigraphy and SPECT of patients with metastasized ovarian and pancreatic cancer for follow-up to therapy with ⁹⁰Y-FAPI-46. ^99mTc-FAPI-34 accumulated in the tumor lesions also shown in PET/CT imaging using ⁶⁸Ga-FAPI-46. Conclusion: ^99mTc-FAPI-34 represents a powerful tracer for diagnostic scintigraphy, especially in cases where PET imaging is not available. Additionally, the chelator used in this compound allows labeling with the therapeutic nuclide 188Re which is planned for the near future.

This week David Price is in the presenter chair for the jolliest tech podcast of the year. David is joined by Miriam Harris, staff writer at Digital Arts, to talk about the design trends set to shape 2017. Then online editor at Techworld Scott Carey runs through the hottest tech gifts this Christmas, including games consoles, VR, Amazon gadgets and Star Wars merch (14:30). Finally, staff writer at PC Advisor Dom Preston makes his UKTW debut to chat about the latest Star Wars movie, Rogue One, which includes spoilers (29:00). This is the last UK Tech Weekly podcast of the year. Thank you for listening and we will be back in 2017 to chat about the hottest tech topics all over again.  

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After a lengthy hiatus we are back to FINALLY talk about the iPhone X. Computerworld UK editor Scott Carey is in the hosting chair to chat with Chris Martin, reviews editor at Tech Advisor and Macworld UK, now that we have got our hands on one. Chris talks us through what he likes and dislikes so far about the pricey smartphone.

Then Miriam Harris, staff writer at Digital Arts jumps in to discuss the design principles behind driverless cars and what we can expect in the future (17:00).

Finally, pod debutante Caroline Vanier, senior staff writer at Tech Advisor France talks about the FairPhone and if it is a new model for the smart phone industry (28:00).

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If your SAS Visual Analytics report contains many sections and objects, you might encounter performance problems when you are editing the report.   A hot fix is planned for this issue.

A custom sort might be sorted incorrectly when the data item is used in a custom category, which is then used in a hierarchy. The issue can occur in the following scenario:

When you attempt to save a report distribution in SAS Visual Analytics Designer, you might see the error shown in the following display:  imgalt="" src="{fusion_65868_1_distributionerror.png}" />

Despite considerable progress, development of glucose-responsive insulins (GRI) still largely depends on empirical knowledge and tedious experimentation – especially on rodents. To assist the rational design and clinical translation of the therapeutic, we present a Pharmacokinetic Algorithm Mapping GRI Efficacies in Rodents and Humans (PAMERAH), built upon our previous human model. PAMERAH constitutes a framework for predicting the therapeutic efficacy of a GRI candidate from its user-specified mechanism of action, kinetics, and dosage, which we show is accurate when checked against data from experiments and literature. Results from simulated glucose clamps also agree quantitatively with recent GRI publications. We demonstrate that the model can be used to explore the vast number of permutations constituting the GRI parameter space, and thereby identify the optimal design ranges that yield desired performance. A design guide aside, PAMERAH more importantly can facilitate GRI’s clinical translation by connecting each candidate’s efficacies in rats, mice, and humans. The resultant mapping helps find GRIs which appear promising in rodents but underperform in humans (i.e. false-positives). Conversely, it also allows for the discovery of optimal human GRI dynamics not captured by experiments on a rodent population (false-negatives). We condense such information onto a translatability grid as a straightforward, visual guide for GRI development.

VOLUME 295 (2020) PAGES 4079–4092There was an error in the abstract. “The pyridinium cation hampers uptake of OPs into the central nervous system (CNS)” should read as “The pyridinium cation hampers uptake into the central nervous system (CNS).”

COVID-19 has completely readjusted how we operate daily. With the proliferation of the ‘work from home’ concept, many persons have become even more stationary as they spend full days on their couches, tapping on their communication devices while...

OBJECTIVE

The effective redesign of primary care delivery systems to improve diabetes care requires an understanding of which particular components of delivery consistently lead to better clinical outcomes. We identified associations between common systems of care management (SysCMs) and the frequency of meeting standardized performance targets for Optimal Diabetes Care (NQF#0729) in primary care practices.

With the U.S. administration calling for the United States to adopt a more “merit-based” immigrant selection system, this conversation focused on what policymakers should consider in designing—and managing—immigrant selection systems in a time of intense labor-market and demographic change.

MPI and OECD experts discuss what policymakers should consider in designing and managing immigrant selection systems in a time of intense labor-market and demographic change.

Refugees encounter a range of challenges after resettlement—from adjusting to a new culture and language, to finding a job. Many resettlement countries invest in predeparture orientation to help refugees develop the knowledge, skills, and attitudes to face these challenges. This report explores the many forms these programs take, highlighting important design questions and key elements that effective programs share.

City planning -- Remote sensing.

Libraries -- Marketing.

Architecture -- Australia -- History -- 20th century.

Sex discrimination against women.

Business enterprises -- Computer networks -- Management.

London : H. Renshaw, 1839.

London : printed for Burgess and Hill, 1825.

Alexandria Area High School was created to accommodate changes in education and technology.

Ted Kolderie, who helped launch the charter school movement through his work in Minnesota, discusses school choice, school accountability, the evolving role of teachers, and more.

A Paris (rue St Jacques a l'Hotel Saumur) : chez Mondhare, [between 1760 and 1792]

Uttam Bandyopadhyay, Shirsendu Mukherjee, Atanu Biswas.

Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 2, 291--303.

Abstract:
In adaptive crossover design, our goal is to allocate more patients to a promising treatment sequence. The present work contains a very simple three period crossover design for two competing treatments where the allocation in period 3 is done on the basis of the data obtained from the first two periods. Assuming normality of response variables we use a reliability functional for the choice between two treatments. We calculate the allocation proportions and their standard errors corresponding to the possible treatment combinations. We also derive some asymptotic results and provide solutions on related inferential problems. Moreover, the proposed procedure is compared with a possible competitor. Finally, we use a data set to illustrate the applicability of the proposed design.

Phillip S. Kott.

Source: Statistics Surveys, Volume 12, 1--17.

Abstract:
Fitting complex survey data to regression equations is explored under a design-sensitive model-based framework. A robust version of the standard model assumes that the expected value of the difference between the dependent variable and its model-based prediction is zero no matter what the values of the explanatory variables. The extended model assumes only that the difference is uncorrelated with the covariates. Little is assumed about the error structure of this difference under either model other than independence across primary sampling units. The standard model often fails in practice, but the extended model very rarely does. Under this framework some of the methods developed in the conventional design-based, pseudo-maximum-likelihood framework, such as fitting weighted estimating equations and sandwich mean-squared-error estimation, are retained but their interpretations change. Few of the ideas here are new to the refereed literature. The goal instead is to collect those ideas and put them into a unified conceptual framework.

Oleksandr Sverdlov, Weng Kee Wong, Yevgen Ryeznik.

Source: Statistics Surveys, Volume 8, 2--44.

Abstract:
Adaptive clinical trials are becoming increasingly popular research designs for clinical investigation. Adaptive designs are particularly useful in phase I cancer studies where clinical data are scant and the goals are to assess the drug dose-toxicity profile and to determine the maximum tolerated dose while minimizing the number of study patients treated at suboptimal dose levels. In the current work we give an overview of adaptive design methods for phase I cancer trials. We find that modern statistical literature is replete with novel adaptive designs that have clearly defined objectives and established statistical properties, and are shown to outperform conventional dose finding methods such as the 3+3 design, both in terms of statistical efficiency and in terms of minimizing the number of patients treated at highly toxic or nonefficacious doses. We discuss statistical, logistical, and regulatory aspects of these designs and present some links to non-commercial statistical software for implementing these methods in practice.

I study the minimax-optimal design for a two-arm controlled experiment where conditional mean outcomes may vary in a given set. When this set is permutation symmetric, the optimal design is complete randomization, and using a single partition (i.e., the design that only randomizes the treatment labels for each side of the partition) has minimax risk larger by a factor of $n-1$. More generally, the optimal design is shown to be the mixed-strategy optimal design (MSOD) of Kallus (2018). Notably, even when the set of conditional mean outcomes has structure (i.e., is not permutation symmetric), being minimax-optimal for variance still requires randomization beyond a single partition. Nonetheless, since this targets precision, it may still not ensure sufficient uniformity in randomization to enable randomization (i.e., design-based) inference by Fisher's exact test to appropriately detect violations of null. I therefore propose the inference-constrained MSOD, which is minimax-optimal among all designs subject to such uniformity constraints. On the way, I discuss Johansson et al. (2020) who recently compared rerandomization of Morgan and Rubin (2012) and the pure-strategy optimal design (PSOD) of Kallus (2018). I point out some errors therein and set straight that randomization is minimax-optimal and that the "no free lunch" theorem and example in Kallus (2018) are correct.

Yi Lin, Ryan Martin, Min Yang.

Source: The Annals of Statistics, Volume 47, Number 6, 3335--3359.

Abstract:
Classically, Fisher information is the relevant object in defining optimal experimental designs. However, for models that lack certain regularity, the Fisher information does not exist, and hence, there is no notion of design optimality available in the literature. This article seeks to fill the gap by proposing a so-called Hellinger information , which generalizes Fisher information in the sense that the two measures agree in regular problems, but the former also exists for certain types of nonregular problems. We derive a Hellinger information inequality, showing that Hellinger information defines a lower bound on the local minimax risk of estimators. This provides a connection between features of the underlying model—in particular, the design—and the performance of estimators, motivating the use of this new Hellinger information for nonregular optimal design problems. Hellinger optimal designs are derived for several nonregular regression problems, with numerical results empirically demonstrating the efficiency of these designs compared to alternatives.

Antony Overstall, James McGree.

Source: Bayesian Analysis, Volume 15, Number 1, 103--131.

Abstract:
A Bayesian design is given by maximising an expected utility over a design space. The utility is chosen to represent the aim of the experiment and its expectation is taken with respect to all unknowns: responses, parameters and/or models. Although straightforward in principle, there are several challenges to finding Bayesian designs in practice. Firstly, the utility and expected utility are rarely available in closed form and require approximation. Secondly, the design space can be of high-dimensionality. In the case of intractable likelihood models, these problems are compounded by the fact that the likelihood function, whose evaluation is required to approximate the expected utility, is not available in closed form. A strategy is proposed to find Bayesian designs for intractable likelihood models. It relies on the development of an automatic, auxiliary modelling approach, using multivariate Gaussian process emulators, to approximate the likelihood function. This is then combined with a copula-based approach to approximate the marginal likelihood (a quantity commonly required to evaluate many utility functions). These approximations are demonstrated on examples of stochastic process models involving experimental aims of both parameter estimation and model comparison.