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Des médications hypothermique et hyperthermique, et des moyens thérapeutiques qui les remplissent. De la pharmacothermogenèse, ou Théories de l'action des médicaments sur la température animale / par P.F. da Costa.

Lisbonne : Impr. de l'Académie royale des sciences, 1881.




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Des méningites suppurées non tuberculeuses / par Albert Vaudremer.

Dijon : Darantiere, 1893.




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Des vices de conformation de l'utérus et du vagin et des moyens d'y remédier / par Leon Le Fort.

Paris : Delahaye, 1863.




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Description of an apparatus intended to facilitate the treatment of fractures of the lower extremity / by T.M. Greenhow.

London : S. Highley, 1833.




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Diagnostische und pathogenetische Untersuchungen : in der Klinik des Herrn Geh. Raths Dr. Schönlein auf dessen Veranlassung angestellt und mit Benutzung anderweitiger Beobachtungen veröffentlicht / von R. Remak.

Berlin : A. Hirschwald, 1845.




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Die Bildung der Wirbel-und Extremitatsknochen / von Prof. Engel.

[Wien] : [publisher not identified], 1854.




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Die Fremdkorper des Uterus : Zusammenstellung von 550 Beobachtungen aus der Literatur und Praxis / von Franz Ludwig Neugebauer.

Breslau : Preuss & Junger, 1897.




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Die Galvanocaustik seit Middeldorpf : nach fremden und eigenen Erfahrungen für das praktische Bedürfniss / dargestellt von A. Hedinger.

Stuttgart : F. Enke, 1878.




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Die Homologie der Extremitaeten : morphologische Studien / von P. Eisler.

Halle : M. Niemeyer, 1895.




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Die Knochen und Muskeln der Extremitaten bei den schlangenähnlichen Sauriern : vergleichend-anatomische Abhandlung / von Max Fürbringer.

Leipzig : W. Engelmann, 1870.




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Die Lepra-Bacillen in ihrem Verhaltnis zum Hautgewebe. Mit einer chromolithographischen Tafel / von P. G. Unna.

Hamburg : Voss, 1886.




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Die nieren des Menschen und der Säugethiere in ihrem feineren Baue / von F. Schweigger-Seidel.

Halle : Buchhandlung des Waisenhauses, 1865.




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Die Pathologie und therapie der hereditären Syphilis : nach ihrem gegenwärtigen Standpunkte / dargestellt von Ludwig Fürth.

Wien : Urban & Schwarzenberg, 1879.




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Die typischen Verletzungen der Extremitätenknochen des Kindes durch den Geburtshelfer / von Otto Kuestner.

Halle : Karras, 1877.




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Die Wirkung der Arzneimittel und Gifte im gesunden thierischen Korper / nach fremden und eigenen Beobachtungen bearbeitet von Karl Wibmer.

Munchen : In der literarisch artistischen Anstalt, 1831-1842.




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Diet and cholera : showing the vital importance of wholesome diet, and that its impurities and deficiencies are the chief cause of cholera, with its premonitory symptoms and treatment : in a series of letters, originally intended for insertion in the &quo

London : S. Highley, 1848.




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Diseases and remedies : a concise survey of the most modern methods of medicine / written expressly for the drug trade by physicians and pharmacists.

London : Chemist and Druggist, 1898.




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The diseases of live stock and their most efficient remedies : including horses, cattle, sheep and swine ... / by Lloyd V. Tellor.

London : Bailliere, Tindall, & Cox, 1879.




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Dissertatio inauguralis medica sistens casum singularem carcinomatis uteri cum graviditate conjuncti ... / auctor Bertramus Zeppenfeld.

Berolini : Typis Augusti Petschii, 1828.




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Domestic medicine : a treatise on the prevention and cure of diseases, by regimen and simple medicine. ... With remarks on the properties of food, vaccination, electricity, galvanism, bathing, &c / by William Buchan.

London : printed for the booksellers, 1828.




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Dr. Joh. Christ. Aug. Heyse's Allgemeines verdeutschendes und erklärendes Fremdwörterbuch mit Bezeichnung der Aussprache und Betonung der Wörter nebst genauer Angabe ihrer Abstammung und Bildung / neu bearb., vielf. berichtigt u. verm v

Hannover : Hahn, 1873.




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Dr. Webster's remarks on the health of London : read before the Westminster Medical Society, April 13, 1850.

[London?] : [publisher not identified], [1850]




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Du decollement premature du placenta insere normalement / par Louis Dumarcet.

Paris : G. Steinheil, 1892.




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Einfluss der Temperatur gefarbter Losungen auf die Absorptionsspektren derselben / von Hermann Bremer.

Neudamm : J. Neumann, 1890.




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Eléments d'anatomie comparée / par Remy Perrier.

Paris : J.-B. Baillière, 1893.




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Elements of materia medica : containing the chemistry and natural history of drugs, their effects, doses, and adulterations : with observations on all the new remedies recently introduced into practice, and on the preparations of the British Pharmacopoeia

London : J. Churchill, 1864.




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Epidemiology, or, The remote cause of epidemic diseases in the animal and in the vegetable creation ... Part 1 / by John Parkin.

London : J. & A. Churchill, 1873.




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Essai sur les agremens et sur la salubrite du climat de Nice / par P. Richelmi.

Nice : A.M.J. Canis, 1822.




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Ex-Florida sheriff's removal lawsuit dismissed




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Supreme Court Strikes Minnesota Law Barring Political Apparel at Polling Places

In a case implicating the use of schools as voting locations as well as free speech in education, the justices said Minnesota went too far.




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Minnesota bans large-scale high school graduation ceremonies




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West Virginia Teachers Scored a Victory But Will Remain on Strike

Lawmakers effectively killed the controversial education bill that had prompted the second statewide strike in two years.




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Supreme Court to Weigh 'Incorrigible' Bar for Juvenile Life Without Parole Sentences

The justices agreed to decide whether the Eighth Amendment requires a trial court to find that a juvenile is permanently incorrigible before imposing a sentence of life without parole.




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Governor: Mississippi schools remain closed rest of semester




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Palmyra, Syria: remains of the ancient buildings. Coloured etching, 17--.

[London] (No 69 St Paul's Churchyard) : Printed for Carington Bowles ; [London] (opposite Fetter Lane, Fleet Street) : Robt. Sayer ; [London] (in Cornhil) : Robert Wilkinson, [between 1700 and 1799]




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Palmyra, Syria: remains of the temple of the sun. Coloured etching, 17--.

[London] (in St Pauls Churchyard) : Printed for T. Bowles ; [London] (at the Black Horse in Cornhil) : John Bowles & Son ; [London] (opposite Fetter Lane in Fleet Street) : R. Sayer, [between 1700 and 1799]




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PHT remembers video games: Hockey on the Nintendo 64

Only so money hockey options on that odd beast of a machine.




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Brendan Leipsic's Capitals contract terminated after offensive remarks revealed

The Washington Capitals have placed former Winterhawks wing Brendan Leipsic on unconditional waivers with the intention of his contract being terminated after private messages revealed misogynistic comments. > The Washington Capitals have placed Brendan Leipsic on unconditional waivers for purposes of terminating his contract.https://t.co/UnADibu2yQ




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XIV. Salicylsäure, salicylsaures Natron und Thymol in ihrem Einfluss auf Krankheiten / Dr Bälz

[Place of publication not identified] : [publisher not identified], [18--?]




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Survey of drug information needs and problems associated with communications directed to practicing physicians : part III : remedial ad survey / [Arthur Ruskin, M.D.]

Springfield, Virginia : National Technical Information Service, 1974.




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New essays on abortion and bioethics / volume editor, Rem B. Edwards.

Greenwich, Conn. : Jai Press Inc., 1997.




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'A pioneer, a trailblazer' - Reaction to McGraw's retirement

Notre Dame coach Muffet McGraw retired after 33 seasons Wednesday. What she did for me in those four years, I came in as a girl and left as a woman.'' - WNBA player Kayla McBride, who played for Notre Dame from 2010-14.




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Adaptive estimation in the supremum norm for semiparametric mixtures of regressions

Heiko Werner, Hajo Holzmann, Pierre Vandekerkhove.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1816--1871.

Abstract:
We investigate a flexible two-component semiparametric mixture of regressions model, in which one of the conditional component distributions of the response given the covariate is unknown but assumed symmetric about a location parameter, while the other is specified up to a scale parameter. The location and scale parameters together with the proportion are allowed to depend nonparametrically on covariates. After settling identifiability, we provide local M-estimators for these parameters which converge in the sup-norm at the optimal rates over Hölder-smoothness classes. We also introduce an adaptive version of the estimators based on the Lepski-method. Sup-norm bounds show that the local M-estimator properly estimates the functions globally, and are the first step in the construction of useful inferential tools such as confidence bands. In our analysis we develop general results about rates of convergence in the sup-norm as well as adaptive estimation of local M-estimators which might be of some independent interest, and which can also be applied in various other settings. We investigate the finite-sample behaviour of our method in a simulation study, and give an illustration to a real data set from bioinformatics.




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Bias correction in conditional multivariate extremes

Mikael Escobar-Bach, Yuri Goegebeur, Armelle Guillou.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1773--1795.

Abstract:
We consider bias-corrected estimation of the stable tail dependence function in the regression context. To this aim, we first estimate the bias of a smoothed estimator of the stable tail dependence function, and then we subtract it from the estimator. The weak convergence, as a stochastic process, of the resulting asymptotically unbiased estimator of the conditional stable tail dependence function, correctly normalized, is established under mild assumptions, the covariate argument being fixed. The finite sample behaviour of our asymptotically unbiased estimator is then illustrated on a simulation study and compared to two alternatives, which are not bias corrected. Finally, our methodology is applied to a dataset of air pollution measurements.




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$k$-means clustering of extremes

Anja Janßen, Phyllis Wan.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1211--1233.

Abstract:
The $k$-means clustering algorithm and its variant, the spherical $k$-means clustering, are among the most important and popular methods in unsupervised learning and pattern detection. In this paper, we explore how the spherical $k$-means algorithm can be applied in the analysis of only the extremal observations from a data set. By making use of multivariate extreme value analysis we show how it can be adopted to find “prototypes” of extremal dependence and derive a consistency result for our suggested estimator. In the special case of max-linear models we show furthermore that our procedure provides an alternative way of statistical inference for this class of models. Finally, we provide data examples which show that our method is able to find relevant patterns in extremal observations and allows us to classify extremal events.




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Conditional density estimation with covariate measurement error

Xianzheng Huang, Haiming Zhou.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 970--1023.

Abstract:
We consider estimating the density of a response conditioning on an error-prone covariate. Motivated by two existing kernel density estimators in the absence of covariate measurement error, we propose a method to correct the existing estimators for measurement error. Asymptotic properties of the resultant estimators under different types of measurement error distributions are derived. Moreover, we adjust bandwidths readily available from existing bandwidth selection methods developed for error-free data to obtain bandwidths for the new estimators. Extensive simulation studies are carried out to compare the proposed estimators with naive estimators that ignore measurement error, which also provide empirical evidence for the effectiveness of the proposed bandwidth selection methods. A real-life data example is used to illustrate implementation of these methods under practical scenarios. An R package, lpme, is developed for implementing all considered methods, which we demonstrate via an R code example in Appendix B.2.




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Neyman-Pearson classification: parametrics and sample size requirement

The Neyman-Pearson (NP) paradigm in binary classification seeks classifiers that achieve a minimal type II error while enforcing the prioritized type I error controlled under some user-specified level $alpha$. This paradigm serves naturally in applications such as severe disease diagnosis and spam detection, where people have clear priorities among the two error types. Recently, Tong, Feng, and Li (2018) proposed a nonparametric umbrella algorithm that adapts all scoring-type classification methods (e.g., logistic regression, support vector machines, random forest) to respect the given type I error (i.e., conditional probability of classifying a class $0$ observation as class $1$ under the 0-1 coding) upper bound $alpha$ with high probability, without specific distributional assumptions on the features and the responses. Universal the umbrella algorithm is, it demands an explicit minimum sample size requirement on class $0$, which is often the more scarce class, such as in rare disease diagnosis applications. In this work, we employ the parametric linear discriminant analysis (LDA) model and propose a new parametric thresholding algorithm, which does not need the minimum sample size requirements on class $0$ observations and thus is suitable for small sample applications such as rare disease diagnosis. Leveraging both the existing nonparametric and the newly proposed parametric thresholding rules, we propose four LDA-based NP classifiers, for both low- and high-dimensional settings. On the theoretical front, we prove NP oracle inequalities for one proposed classifier, where the rate for excess type II error benefits from the explicit parametric model assumption. Furthermore, as NP classifiers involve a sample splitting step of class $0$ observations, we construct a new adaptive sample splitting scheme that can be applied universally to NP classifiers, and this adaptive strategy reduces the type II error of these classifiers. The proposed NP classifiers are implemented in the R package nproc.




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Measuring symmetry and asymmetry of multiplicative distortion measurement errors data

Jun Zhang, Yujie Gai, Xia Cui, Gaorong Li.

Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 2, 370--393.

Abstract:
This paper studies the measure of symmetry or asymmetry of a continuous variable under the multiplicative distortion measurement errors setting. The unobservable variable is distorted in a multiplicative fashion by an observed confounding variable. First, two direct plug-in estimation procedures are proposed, and the empirical likelihood based confidence intervals are constructed to measure the symmetry or asymmetry of the unobserved variable. Next, we propose four test statistics for testing whether the unobserved variable is symmetric or not. The asymptotic properties of the proposed estimators and test statistics are examined. We conduct Monte Carlo simulation experiments to examine the performance of the proposed estimators and test statistics. These methods are applied to analyze a real dataset for an illustration.




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Mnemonics Training: Multi-Class Incremental Learning without Forgetting. (arXiv:2002.10211v3 [cs.CV] UPDATED)

Multi-Class Incremental Learning (MCIL) aims to learn new concepts by incrementally updating a model trained on previous concepts. However, there is an inherent trade-off to effectively learning new concepts without catastrophic forgetting of previous ones. To alleviate this issue, it has been proposed to keep around a few examples of the previous concepts but the effectiveness of this approach heavily depends on the representativeness of these examples. This paper proposes a novel and automatic framework we call mnemonics, where we parameterize exemplars and make them optimizable in an end-to-end manner. We train the framework through bilevel optimizations, i.e., model-level and exemplar-level. We conduct extensive experiments on three MCIL benchmarks, CIFAR-100, ImageNet-Subset and ImageNet, and show that using mnemonics exemplars can surpass the state-of-the-art by a large margin. Interestingly and quite intriguingly, the mnemonics exemplars tend to be on the boundaries between different classes.




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An Empirical Study of Incremental Learning in Neural Network with Noisy Training Set. (arXiv:2005.03266v1 [cs.LG])

The notion of incremental learning is to train an ANN algorithm in stages, as and when newer training data arrives. Incremental learning is becoming widespread in recent times with the advent of deep learning. Noise in the training data reduces the accuracy of the algorithm. In this paper, we make an empirical study of the effect of noise in the training phase. We numerically show that the accuracy of the algorithm is dependent more on the location of the error than the percentage of error. Using Perceptron, Feed Forward Neural Network and Radial Basis Function Neural Network, we show that for the same percentage of error, the accuracy of the algorithm significantly varies with the location of error. Furthermore, our results show that the dependence of the accuracy with the location of error is independent of the algorithm. However, the slope of the degradation curve decreases with more sophisticated algorithms