Extraintestinal Crohn's disease mimicking autoimmune inner ear disease: a histopathological approach

Patients with autoimmune inner ear disease develop rapidly progressive sensorineural hearing loss over a period of several weeks or months, often accompanied by vestibular loss. This disease can occur as a distinct clinical entity or in association with an underlying autoimmune disorder. Treatment comprises immunosuppression by corticosteroids, cytostatic drugs or tumor necrosis factor- antagonists. We report histopathological and immunohistochemical findings of the inner ear of a patient with a granulomatous inner ear disease suffering from Crohn's disease that was nonresponsive to treatment and who underwent surgery for bilateral cochlear implants.

Favourable prognostic value of antibodies anti-HSP20 in patients with cystic echinococcosis: a differential immunoproteomic approach

Seeking biomarkers reflecting disease development in cystic echinococcosis (CE), we used a proteomic approach linked to immunological characterisation for the identification of respective antigens. Two-dimensional gel electrophoresis (2-DE) of sheep hydatid fluid, followed by immunoblot analysis (IB) with sera from patients with distinct phases of disease, enabled us to identify by mass spectrometry heat shock protein 20 (HSP20) as a potential marker of active CE. Using IB, antibodies specific to the 34 kDa band of HSP20 were detected in sera from 61/95 (64%) patients with CE, but not in sera from healthy subjects. IB revealed anti-HSP20 antibodies in a higher percentage of sera from patients with active disease than in sera from patients with inactive disease (81 vs. 24%; P = 10(-4)). These primary results were confirmed in a long-term follow-up study after pharmacological and surgical treatment. Herewith anti-HSP20 antibody levels significantly decreased over the course of treatment in sera from patients with cured disease, relative to sera from patients with progressive disease (P = 0.017). Thus, during CE, a comprehensive strategy of proteomic identification combined with immunological validation represents a promising approach for the identification of biomarkers useful for the prognostic assessment of treatment of CE patients.

A Note on the Asymptotic Variance of Survival Function in the Semi-Markov Model

In Malani and Neilsen (1992) we have proposed alternative estimates of survival function (for time to disease) using a simple marker that describes time to some intermediate stage in a disease process. In this paper we derive the asymptotic variance of one such proposed estimator using two different methods and compare terms of order 1/n when there is no censoring. In the absence of censoring the asymptotic variance obtained using the Greenwood type approach converges to exact variance up to terms involving 1/n. But the asymptotic variance obtained using the theory of the counting process and results from Voelkel and Crowley (1984) on semi-Markov processes has a different term of order 1/n. It is not clear to us at this point why the variance formulae using the latter approach give different results.

Inference on Survival Data with Covariate Measurement Error - An Imputation-based Approach

We propose a new method for fitting proportional hazards models with error-prone covariates. Regression coefficients are estimated by solving an estimating equation that is the average of the partial likelihood scores based on imputed true covariates. For the purpose of imputation, a linear spline model is assumed on the baseline hazard. We discuss consistency and asymptotic normality of the resulting estimators, and propose a stochastic approximation scheme to obtain the estimates. The algorithm is easy to implement, and reduces to the ordinary Cox partial likelihood approach when the measurement error has a degenerative distribution. Simulations indicate high efficiency and robustness. We consider the special case where error-prone replicates are available on the unobserved true covariates. As expected, increasing the number of replicate for the unobserved covariates increases efficiency and reduces bias. We illustrate the practical utility of the proposed method with an Eastern Cooperative Oncology Group clinical trial where a genetic marker, c-myc expression level, is subject to measurement error.

Past is Prologue: Montana’s Historic Women’s Movement Re-emerges in the Progressive 1970s -- Dorothy Bradley, Marilyn Wessel & Jane Jelinski “In the Crucible of Change”

One-hundred years ago, in 1914, male voters in Montana (MT) extended suffrage (voting rights) to women six years before the 19th Amendment to the US Constitution was ratified and provided that right to women in all states. The long struggle for women’s suffrage was energized in the progressive era and Jeanette Rankin of Missoula emerged as a leader of the campaign; in 1912 both major MT political party platforms supported women suffrage. In the 1914 election, 41,000 male voters supported woman suffrage while nearly 38,000 opposed it. MT was not only ahead of the curve on women suffrage, but just two years later in 1916 elected Jeanette Rankin as the first woman ever elected to the United States Congress. Rankin became a national leader for women's equality. In her commitment to equality, she opposed US entry into World War I, partially because she said she could not support men being made to go to war if women were not allowed to serve alongside them. During MT’s initial progressive era, women in MT not only pursued equality for themselves (the MT Legislature passed an equal pay act in 1919), but pursued other social improvements, such as temperance/prohibition. Well-known national women leaders such as Carrie Nation and others found a welcome in MT during the period. Women's role in the trade union movement was evidenced in MT by the creation of the Women's Protective Union in Butte, the first union in America dedicated solely to women workers. But Rankin’s defeat following her vote against World War I was used as a way for opponents to advocate a conservative, traditionalist perspective on women's rights in MT. Just as we then entered a period in MT where the “copper collar” was tightened around MT economically and politically by the Anaconda Company and its allies, we also found a different kind of conservative, traditionalist collar tightened around the necks of MT women. The recognition of women's role during World War II, represented by “Rosie the Riveter,” made it more difficult for that conservative, traditionalist approach to be forever maintained. In addition, women's role in MT agriculture – family farms and ranches -- spoke strongly to the concept of equality, as farm wives were clearly active partners in the agricultural enterprises. But rural MT was, by and large, the bastion of conservative values relative to the position of women in society. As the period of “In the Crucible of Change” began, the 1965 MT Legislature included only three women. In 1967 and 1969 only one woman legislator served. In 1971 the number went up to two, including one of our guests, Dorothy Bradley. It was only after the Constitutional Convention, which featured 19 women delegates, that the barrier was broken. The 1973 Legislature saw 9 women elected. The 1975 and 1977 sessions had 14 women legislators; 15 were elected for the 1979 session. At that time progressive women and men in the Legislature helped implement the equality provisions of the new MT Constitution, ratified the federal Equal Rights Amendment in 1974, and held back national and local conservatives forces which sought in later Legislatures to repeal that ratification. As with the national movement at the time, MT women sought and often succeeded in adopting legal mechanisms that protected women’s equality, while full equality in the external world remained (and remains) a treasured objective. The story of the re-emergence of Montana’s women’s movement in the 1970s is discussed in this chapter by three very successful and prominent women who were directly involved in the effort: Dorothy Bradley, Marilyn Wessel, and Jane Jelinski. Their recollections of the political, sociological and cultural path Montana women pursued in the 1970s and the challenges and opposition they faced provide an insider’s perspective of the battle for equality for women under the Big Sky “In the Crucible of Change.” Dorothy Bradley grew up in Bozeman, Montana; received her Bachelor of Arts Phi Beta Kappa from Colorado College, Colorado Springs, in 1969 with a Distinction in Anthropology; and her Juris Doctor from American University in Washington, D.C., in 1983. In 1970, at the age of 22, following the first Earth Day and running on an environmental platform, Ms. Bradley won a seat in the 1971 Montana House of Representatives where she served as the youngest member and only woman. Bradley established a record of achievement on environmental & progressive legislation for four terms, before giving up the seat to run a strong second to Pat Williams for the Democratic nomination for an open seat in Montana’s Western Congressional District. After becoming an attorney and an expert on water law, she returned to the Legislature for 4 more terms in the mid-to-late 1980s. Serving a total of eight terms, Dorothy was known for her leadership on natural resources, tax reform, economic development, and other difficult issues during which time she gained recognition for her consensus-building approach. Campaigning by riding her horse across the state, Dorothy was the Democratic nominee for Governor in 1992, losing the race by less than a percentage point. In 1993 she briefly taught at a small rural school next to the Northern Cheyenne Indian Reservation. She was then hired as the Director of the Montana University System Water Center, an education and research arm of Montana State University. From 2000 - 2008 she served as the first Gallatin County Court Administrator with the task of collaboratively redesigning the criminal justice system. She currently serves on One Montana’s Board, is a National Advisor for the American Prairie Foundation, and is on NorthWestern Energy’s Board of Directors. Dorothy was recognized with an Honorary Doctorate from her alma mater, Colorado College, was named Business Woman of the Year by the Bozeman Chamber of Commerce and MSU Alumni Association, and was Montana Business and Professional Women’s Montana Woman of Achievement. Marilyn Wessel was born in Iowa, lived and worked in Los Angeles, California, and Washington, D.C. before moving to Bozeman in 1972. She has an undergraduate degree in journalism from Iowa State University, graduate degree in public administration from Montana State University, certification from the Harvard University Institute for Education Management, and served a senior internship with the U.S. Congress, Montana delegation. In Montana Marilyn has served in a number of professional positions, including part-time editor for the Montana Cooperative Extension Service, News Director for KBMN Radio, Special Assistant to the President and Director of Communications at Montana State University, Director of University Relations at Montana State University and Dean and Director of the Museum of the Rockies at MSU. Marilyn retired from MSU as Dean Emeritus in 2003. Her past Board Service includes Montana State Merit System Council, Montana Ambassadors, Vigilante Theater Company, Montana State Commission on Practice, Museum of the Rockies, Helena Branch of the Ninth District Federal Reserve Bank, Burton K. Wheeler Center for Public Policy, Bozeman Chamber of Commerce, and Friends of KUSM Public Television. Marilyn’s past publications and productions include several articles on communications and public administration issues as well as research, script preparation and presentation of several radio documentaries and several public television programs. She is co-author of one book, 4-H An American Idea: A History of 4-H. Marilyn’s other past volunteer activities and organizations include Business and Professional Women, Women's Political Caucus, League of Women Voters, and numerous political campaigns. She is currently engaged professionally in museum-related consulting and part-time teaching at Montana State University as well as serving on the Editorial Board of the Bozeman Daily Chronicle and a member of Pilgrim Congregational Church and Family Promise. Marilyn and her husband Tom, a retired MSU professor, live in Bozeman. She enjoys time with her children and grandchildren, hiking, golf, Italian studies, cooking, gardening and travel. Jane Jelinski is a Wisconsin native, with a BA from Fontbonne College in St. Louis, MO who taught fifth and seventh grades prior to moving to Bozeman in 1973. A stay-at-home mom with a five year old daughter and an infant son, she was promptly recruited by the Gallatin Women’s Political Caucus to conduct a study of Sex-Role Stereotyping in K Through 6 Reading Text Books in the Bozeman School District. Sociologist Dr. Louise Hale designed the study and did the statistical analysis and Jane read all the texts, entered the data and wrote the report. It was widely disseminated across Montana and received attention of the press. Her next venture into community activism was to lead the successful effort to downzone her neighborhood which was under threat of encroaching business development. Today the neighborhood enjoys the protections of a Historic Preservation District. During this time she earned her MPA from Montana State University. Subsequently Jane founded the Gallatin Advocacy Program for Developmentally Disabled Adults in 1978 and served as its Executive Director until her appointment to the Gallatin County Commission in 1984, a controversial appointment which she chronicled in the Fall issue of the Gallatin History Museum Quarterly. Copies of the issue can be ordered through: http://gallatinhistorymuseum.org/the-museum-bookstore/shop/. Jane was re-elected three times as County Commissioner, serving fourteen years. She was active in the Montana Association of Counties (MACO) and was elected its President in 1994. She was also active in the National Association of Counties, serving on numerous policy committees. In 1998 Jane resigned from the County Commission 6 months before the end of her final term to accept the position of Assistant Director of MACO, from where she lobbied for counties, provided training and research for county officials, and published a monthly newsletter. In 2001 she became Director of the MSU Local Government Center where she continued to provide training and research for county and municipal officials across MT. There she initiated the Montana Mayors Academy in partnership with MMIA. She taught State and Local Government, Montana Politics and Public Administration in the MSU Political Science Department before retiring in 2008. Jane has been married to Jack for 46 years, has two grown children and three grandchildren.

Targeting autophagy as a potential therapeutic approach for melanoma therapy

Melanoma, occurring as a rapidly progressive skin cancer, is resistant to current chemo- and radiotherapy, especially after metastases to distant organs has taken place. Most chemotherapeutic drugs exert their cytotoxic effect by inducing apoptosis, which, however, is often deficient in cancer cells. Thus, it is appropriate to attempt the targeting of alternative pathways, which regulate cellular viability. Recent studies of autophagy, a well-conserved cellular catabolic process, promise to improve the therapeutic outcome in melanoma patients. Although a dual role for autophagy in cancer therapy has been reported, both protecting against and promoting cell death, the potential for using autophagy in cancer therapy seems to be promising. Here, we review the recent literature on the role of autophagy in melanoma with respect to the expression of autophagic markers, the involvement of autophagy in chemo- and immunotherapy, as well as the role of autophagy in hypoxia and altered metabolic pathways employed for melanoma therapy.

The story of RP10: A positional cloning approach to the identification of an autosomal dominant retinitis pigmentosa gene

Retinitis pigmentosa (RP) is an inherited retinal degenerative disease that is the leading cause of inherited blindness worldwide. Characteristic features of the disease include night blindness, progressive loss of visual fields, and deposition of pigment on the retina in a bone spicule-like pattern. RP is marked by extreme genetic heterogeneity with at least 19 autosomal dominant, autosomal recessive and X-linked loci identified. RP10, which maps to chromosome 7q, was the fifth autosomal dominant RP locus identified, and accounts for the early-onset disease in two independent families. Extensive linkage and haplotype analyses have been performed in these two families which have allowed the assignment of the disease locus to a 5-cM region on chromosome 7q31.3. In collaboration with Dr. Eric Green (National Center for Human Genome Research, National Institutes of Health), a well-characterized physical map of the region was constructed which includes YAC, BAC and cosmid coverage. The entire RP10 critical region resides within a 9-Mb well-characterized YAC contig. These physical maps not only provided the resources to undertake the CAIGES (cDNA amplification for identification of genomic expressed sequences) procedure for identification of retinal candidate genes within the critical region, but also identified a number of candidate genes, including transducin-$\gamma$ and blue cone pigment genes. All candidate genes examined were excluded. In addition, a number of ESTs were mapped within the critical region. EST20241, which was isolated from an eye library, corresponded to the 3$\sp\prime$ region of the ADP-ribosylation factor (ARF) 5 gene. ARF5, with its role in vesicle transport and possible participation in the regulation of the visual transduction pathway, became an extremely interesting candidate gene. Using a primer walking approach, the entire 3.2 kb genomic sequence of the ARF5 gene was generated and developed intronic primers to screen for coding region mutations in affected family members. No mutations were found in the ARF5 gene, however, a number of additional ESTs have been mapped to the critical region, and, as the large-scale sequencing projects get underway, megabases of raw sequence data from the RP10 region are becoming available. These resources will hasten the isolation and characterization of the RP10 gene. ^

The position effect in a Rasch-homogenous test: A fixed-links modeling approach.

The position effect describes the influence of just-completed items in a psychological scale on subsequent items. This effect has been repeatedly reported for psychometric reasoning scales and is assumed to reflect implicit learning during testing. One way to identify the position effect is fixed-links modeling. With this approach, two latent variables are derived from the test items. Factor loadings of one latent variable are fixed to 1 for all items to represent ability-related variance. Factor loadings on the second latent variable increase from the first to the last item describing the position effect. Previous studies using fixed-links modeling on the position effect investigated reasoning scales constructed in accordance with classical test theory (e.g., Raven’s Progressive Matrices) but, to the best of our knowledge, no Rasch-scaled tests. These tests, however, meet stronger requirements on item homogeneity. In the present study, therefore, we will analyze data from 239 participants who have completed the Rasch-scaled Viennese Matrices Test (VMT). Applying a fixed-links modeling approach, we will test whether a position effect can be depicted as a latent variable and separated from a latent variable representing basic reasoning ability. The results have implications for the assumption of homogeneity in Rasch-homogeneous tests.

Asymptotic optimality of RESTART estimators in highly dependable systems

Abstract We consider a wide class of models that includes the highly reliable Markovian systems (HRMS) often used to represent the evolution of multi-component systems in reliability settings. Repair times and component lifetimes are random variables that follow a general distribution, and the repair service adopts a priority repair rule based on system failure risk. Since crude simulation has proved to be inefficient for highly-dependable systems, the RESTART method is used for the estimation of steady-state unavailability and other reliability measures. In this method, a number of simulation retrials are performed when the process enters regions of the state space where the chance of occurrence of a rare event (e.g., a system failure) is higher. The main difficulty involved in applying this method is finding a suitable function, called the importance function, to define the regions. In this paper we introduce an importance function which, for unbalanced systems, represents a great improvement over the importance function used in previous papers. We also demonstrate the asymptotic optimality of RESTART estimators in these models. Several examples are presented to show the effectiveness of the new approach, and probabilities up to the order of 10-42 are accurately estimated with little computational effort.

A Progressive Promoter of Women’s Rights? Comparing EU Policy towards the ACP and the EMP Countries. Bruges Regional Integration & Global Governance Paper #3.2015

The paper offers an analysis of the degree to which two different external policy frameworks of the European Union (EU) have institutionalised and operationalised the EU’s commitment to women’s rights and gender equality. It compares the EU’s relations with the African Caribbean and Pacific (ACP) countries with the Euro-Mediterranean Partnership (EMP), using Senegal and Morocco as case studies. Although the comparison shows some resemblances between the two cases, as a whole women’s rights seem more deeply embedded in the institutional framework of EU-ACP relations than that of Euro-Mediterranean relations, and this together with the EU’s approach towards implementation has enabled its women’s rights policy to be slightly more influential on the ground in Senegal than in Morocco. However, both EU-ACP and EMP frameworks have their limits, reflecting the more general problem of inconsistency between the EU’s declaratory objectives and its actual promotion of human rights.

Pedagogies of U.S. Imperialism: Racial Education from Reconstruction to the Progressive Era

Thesis (Ph.D.)--University of Washington, 2016-06

Motor unit number estimation - A Bayesian approach

All muscle contractions are dependent on the functioning of motor units. In diseases such as amyotrophic lateral sclerosis (ALS), progressive loss of motor units leads to gradual paralysis. A major difficulty in the search for a treatment for these diseases has been the lack of a reliable measure of disease progression. One possible measure would be an estimate of the number of surviving motor units. Despite over 30 years of motor unit number estimation (MUNE), all proposed methods have been met with practical and theoretical objections. Our aim is to develop a method of MUNE that overcomes these objections. We record the compound muscle action potential (CMAP) from a selected muscle in response to a graded electrical stimulation applied to the nerve. As the stimulus increases, the threshold of each motor unit is exceeded, and the size of the CMAP increases until a maximum response is obtained. However, the threshold potential required to excite an axon is not a precise value but fluctuates over a small range leading to probabilistic activation of motor units in response to a given stimulus. When the threshold ranges of motor units overlap, there may be alternation where the number of motor units that fire in response to the stimulus is variable. This means that increments in the value of the CMAP correspond to the firing of different combinations of motor units. At a fixed stimulus, variability in the CMAP, measured as variance, can be used to conduct MUNE using the "statistical" or the "Poisson" method. However, this method relies on the assumptions that the numbers of motor units that are firing probabilistically have the Poisson distribution and that all single motor unit action potentials (MUAP) have a fixed and identical size. These assumptions are not necessarily correct. We propose to develop a Bayesian statistical methodology to analyze electrophysiological data to provide an estimate of motor unit numbers. Our method of MUNE incorporates the variability of the threshold, the variability between and within single MUAPs, and baseline variability. Our model not only gives the most probable number of motor units but also provides information about both the population of units and individual units. We use Markov chain Monte Carlo to obtain information about the characteristics of individual motor units and about the population of motor units and the Bayesian information criterion for MUNE. We test our method of MUNE on three subjects. Our method provides a reproducible estimate for a patient with stable but severe ALS. In a serial study, we demonstrate a decline in the number of motor unit numbers with a patient with rapidly advancing disease. Finally, with our last patient, we show that our method has the capacity to estimate a larger number of motor units.

Asymptotic theory of time varying networks with memory and heterogeneous activation pattern

In this thesis work we develop a new generative model of social networks belonging to the family of Time Varying Networks. The importance of correctly modelling the mechanisms shaping the growth of a network and the dynamics of the edges activation and inactivation are of central importance in network science. Indeed, by means of generative models that mimic the real-world dynamics of contacts in social networks it is possible to forecast the outcome of an epidemic process, optimize the immunization campaign or optimally spread an information among individuals. This task can now be tackled taking advantage of the recent availability of large-scale, high-quality and time-resolved datasets. This wealth of digital data has allowed to deepen our understanding of the structure and properties of many real-world networks. Moreover, the empirical evidence of a temporal dimension in networks prompted the switch of paradigm from a static representation of graphs to a time varying one. In this work we exploit the Activity-Driven paradigm (a modeling tool belonging to the family of Time-Varying-Networks) to develop a general dynamical model that encodes fundamental mechanism shaping the social networks' topology and its temporal structure: social capital allocation and burstiness. The former accounts for the fact that individuals does not randomly invest their time and social interactions but they rather allocate it toward already known nodes of the network. The latter accounts for the heavy-tailed distributions of the inter-event time in social networks. We then empirically measure the properties of these two mechanisms from seven real-world datasets and develop a data-driven model, analytically solving it. We then check the results against numerical simulations and test our predictions with real-world datasets, finding a good agreement between the two. Moreover, we find and characterize a non-trivial interplay between burstiness and social capital allocation in the parameters phase space. Finally, we present a novel approach to the development of a complete generative model of Time-Varying-Networks. This model is inspired by the Kaufman's adjacent possible theory and is based on a generalized version of the Polya's urn. Remarkably, most of the complex and heterogeneous feature of real-world social networks are naturally reproduced by this dynamical model, together with many high-order topological properties (clustering coefficient, community structure etc.).

A Bayesian approach to on-line learning

Online learning is discussed from the viewpoint of Bayesian statistical inference. By replacing the true posterior distribution with a simpler parametric distribution, one can define an online algorithm by a repetition of two steps: An update of the approximate posterior, when a new example arrives, and an optimal projection into the parametric family. Choosing this family to be Gaussian, we show that the algorithm achieves asymptotic efficiency. An application to learning in single layer neural networks is given.

Estimating parameters in stochastic systems:a variational Bayesian approach

This work is concerned with approximate inference in dynamical systems, from a variational Bayesian perspective. When modelling real world dynamical systems, stochastic differential equations appear as a natural choice, mainly because of their ability to model the noise of the system by adding a variation of some stochastic process to the deterministic dynamics. Hence, inference in such processes has drawn much attention. Here a new extended framework is derived that is based on a local polynomial approximation of a recently proposed variational Bayesian algorithm. The paper begins by showing that the new extension of this variational algorithm can be used for state estimation (smoothing) and converges to the original algorithm. However, the main focus is on estimating the (hyper-) parameters of these systems (i.e. drift parameters and diffusion coefficients). The new approach is validated on a range of different systems which vary in dimensionality and non-linearity. These are the Ornstein–Uhlenbeck process, the exact likelihood of which can be computed analytically, the univariate and highly non-linear, stochastic double well and the multivariate chaotic stochastic Lorenz ’63 (3D model). As a special case the algorithm is also applied to the 40 dimensional stochastic Lorenz ’96 system. In our investigation we compare this new approach with a variety of other well known methods, such as the hybrid Monte Carlo, dual unscented Kalman filter, full weak-constraint 4D-Var algorithm and analyse empirically their asymptotic behaviour as a function of observation density or length of time window increases. In particular we show that we are able to estimate parameters in both the drift (deterministic) and the diffusion (stochastic) part of the model evolution equations using our new methods.