Tumor cells can spread to distant sites through their ability to switch between mesenchymal and amoeboid (bleb-based) migration. Because of this difference, inhibitors of metastasis must account for each migration mode. However, the role of vimentin in amoeboid migration has not been determined. Because amoeboid leader bleb–based migration (LBBM) occurs in confined spaces and vimentin is known to strongly influence cell-mechanical properties, we hypothesized that a flexible vimentin network is required for fast amoeboid migration. To this end, here we determined the precise role of the vimentin intermediate filament system in regulating the migration of amoeboid human cancer cells. Vimentin is a classic marker of epithelial-to-mesenchymal transition and is therefore an ideal target for a metastasis inhibitor. Using a previously developed polydimethylsiloxane slab–based approach to confine cells, RNAi-based vimentin silencing, vimentin overexpression, pharmacological treatments, and measurements of cell stiffness, we found that RNAi-mediated depletion of vimentin increases LBBM by ∼50% compared with control cells and that vimentin overexpression and simvastatin-induced vimentin bundling inhibit fast amoeboid migration and proliferation. Importantly, these effects were independent of changes in actomyosin contractility. Our results indicate that a flexible vimentin intermediate filament network promotes LBBM of amoeboid cancer cells in confined environments and that vimentin bundling perturbs cell-mechanical properties and inhibits the invasive properties of cancer cells.

Mikael Knip
Dec 1, 2005; 54:S125-S136
Section IV: Polygenic Disease and Environment

Invitation Only Research Event

1 June 2012 , Volume 68, Number 4

Eyes in the skies keeping watch on a planet under stress. Click on the PDF link to view the graphic

7 September 2012 , Volume 88, Number 5

The rapid changes in the global environment have led many scientists to conclude that we are living in a new geological epoch—the Anthropocene—in which human activities have become the dominant driving force transforming the Earth’s natural systems. A recent joint publication by the World Health Organization and Convention on Biological Diversity...

2 July 2014 , Volume 90, Number 4

This policy brief explores the relationship between environmental change and migration to Europe in light of recent scholarship challenging the notion that environmental change triggers mass migration. It presents an overview of European policy response in this area and summarizes the spectrum of proposed solutions.

Environmental change is likely to affect global migration flows in a number of ways. Both long-term trends such as increased flooding and the increasing scarcity of resources as well as shorter term trends like severe weather are likely to contribute to displacement and increased migration for individuals already in vulnerable situations. While often viewed as a negative outcome of climate change, planned migration can also serve as a strategy for mitigating its impact.  

Discussion at launch of this MPI-IOM Issue in Brief, Human Rights, Climate Change, Environmental Degradation and Migration: A New Paradigm, which focuses on the vulnerability of environmental migrants and how the international legal framework can better ensure their protection, particularly in the Asia-Pacific region.

This issue brief addresses the rights of migrants whose movement is induced by environmental degradation or climate change, particularly in the highly vulnerable Asia-Pacific region. The brief evaluates the current international legal framework, identifies gaps in the framework and its implementation, and reviews options available to the international community.

This MPI event, in partnership with the International Organization for Migration (IOM), discusses the critical issue of climate-related displacement in the Asia-Pacific region, focusing on the vulnerability of environmental migrants and how the international legal framework can better ensure their protection.

Christine A. Beebe
Jul 1, 2011; 29:123-126
Practical Pointers

Two forthcoming pieces in History of the Human Sciences may be of interest to AHP readers. Full details below. “Cold War Pavlov: Homosexual aversion therapy in the 1960s,” by Kate Davison. Abstract: Homosexual aversion therapy enjoyed two brief but intense periods of clinical experimentation: between 1950 and 1962 in Czechoslovakia, and between 1962 and 1975 … Continue reading Forthcoming in HHS: Homosexual Aversion Therapy, Comte on Organism-Environment Relationships →

"It is timely that the higher education sector examines paths forward to address and indeed engage in the new environment in which it will work in the future. This fellowship explored two approaches to engage students more deeply in their education. The first approach is generally termed 'interdisciplinary studies' where students define their own program of study; the second approach focuses on topic structure where students are given a wide range of choice and in effect can build a topic that suits their interests."--Page iv.

The Regional Recycling Transport Assistance Package provides funding to support resource recovery and recycling in regional Queensland, helping fund the costs of transporting recyclable material from regional Queensland to facilities where it can be recovered or processed and turned into new products. Details regarding eligible applicants, projects and costs are provided in these guidelines.

"Researchers of DETCRC 3.1 project acquired substantial experience in seismic exploration of Nickel deposits across Yilgarn craton, Western Australia. There are many lessons learnt and various approaches trialled. The validity of the research conducted and the outputs achieved were verified against real field data provided by the sponsors and affiliates to DET CRC. Research quality was scrutinised by publishing in high level journals. In general high quality images are achieved over nickel rich Kambalda province that allowed for an accurate structural interpretation. Rock identification and characterisation is still challenging particularly due to lack of calibration of seismic images with borehole logs and borehole seismic. Several case histories are documented and briefly analysed. The difference between Komatiitic nickel deposit of Australia and Canada is also commented in light of seismic response and required technology for its detection" -- Executive summary.

"This document is intended to summarise the current state, understanding and the use of seismic reflection method for mineral exploration. Its primary objective is to provide a point of reference, based on actual case studies, for mineral explorers interested in the application of seismic methods to their project. It provides summary information (including the purpose of the survey, acquisition methods, geometry and cost, processing procedures and key findings) that are intended to provide the reader with an objective means of assessing the cost effectiveness of the technique with respect to exploration objectives. It is also aimed at exchange of information between DETCRC sponsors, affiliates and researchers. Finally we hope that this table will help in shaping future research efforts and direction within Project 3.1, regarding the application of seismic for mineral exploration.This is only initial work and it is hoped that it will evolve into a document or a catalogue that will be extensively used by the mineral industry to achieve their exploration objectives in more efficient and effective way" -- Executive summary.

Environmental economics.

Meat industry and trade -- Environmental aspects.

Zhengwei Liu, Qi Li, Fukang Zhu.

Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 2, 251--272.

Abstract:
To predict time series of counts with small values and remarkable fluctuations, an available model is the $r$ states random environment process based on the negative binomial thinning operator and the geometric marginal. However, we argue that the aforementioned model may suffer from the following two drawbacks. First, under the condition of no prior information, the overdispersed property of the geometric distribution may cause the predictions fluctuate greatly. Second, because of the constraints on the model parameters, some estimated parameters are close to zero in real-data examples, which may not objectively reveal the correlation relationship. For the first drawback, an $r$ states random environment process based on the binomial thinning operator and the Poisson marginal is introduced. For the second drawback, we propose a generalized $r$ states random environment integer-valued autoregressive model based on the binomial thinning operator to model fluctuations of data. Yule–Walker and conditional maximum likelihood estimates are considered and their performances are assessed via simulation studies. Two real-data sets are conducted to illustrate the better performances of the proposed models compared with some existing models.

Durba Bhattacharya, Sourabh Bhattacharya.

Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 1, 71--89.

Abstract:
Present day bio-medical research is pointing towards the fact that cognizance of gene–environment interactions along with genetic interactions may help prevent or detain the onset of many complex diseases like cardiovascular disease, cancer, type2 diabetes, autism or asthma by adjustments to lifestyle. In this regard, we propose a Bayesian semiparametric model to detect not only the roles of genes and their interactions, but also the possible influence of environmental variables on the genes in case-control studies. Our model also accounts for the unknown number of genetic sub-populations via finite mixtures composed of Dirichlet processes. An effective parallel computing methodology, developed by us harnesses the power of parallel processing technology to increase the efficiencies of our conditionally independent Gibbs sampling and Transformation based MCMC (TMCMC) methods. Applications of our model and methods to simulation studies with biologically realistic genotype datasets and a real, case-control based genotype dataset on early onset of myocardial infarction (MI) have yielded quite interesting results beside providing some insights into the differential effect of gender on MI.

The large volumes of Sentinel-1 data produced over Europe are being used to develop pan-national ground motion services. However, simple analysis techniques like thresholding cannot detect and classify complex deformation signals reliably making providing usable information to a broad range of non-expert stakeholders a challenge. Here we explore the applicability of deep learning approaches by adapting a pre-trained convolutional neural network (CNN) to detect deformation in a national-scale velocity field. For our proof-of-concept, we focus on the UK where previously identified deformation is associated with coal-mining, ground water withdrawal, landslides and tunnelling. The sparsity of measurement points and the presence of spike noise make this a challenging application for deep learning networks, which involve calculations of the spatial convolution between images. Moreover, insufficient ground truth data exists to construct a balanced training data set, and the deformation signals are slower and more localised than in previous applications. We propose three enhancement methods to tackle these problems: i) spatial interpolation with modified matrix completion, ii) a synthetic training dataset based on the characteristics of real UK velocity map, and iii) enhanced over-wrapping techniques. Using velocity maps spanning 2015-2019, our framework detects several areas of coal mining subsidence, uplift due to dewatering, slate quarries, landslides and tunnel engineering works. The results demonstrate the potential applicability of the proposed framework to the development of automated ground motion analysis systems.

Joseph Antonelli, Maitreyi Mazumdar, David Bellinger, David Christiani, Robert Wright, Brent Coull.

Source: The Annals of Applied Statistics, Volume 14, Number 1, 257--275.

Abstract:
Humans are routinely exposed to mixtures of chemical and other environmental factors, making the quantification of health effects associated with environmental mixtures a critical goal for establishing environmental policy sufficiently protective of human health. The quantification of the effects of exposure to an environmental mixture poses several statistical challenges. It is often the case that exposure to multiple pollutants interact with each other to affect an outcome. Further, the exposure-response relationship between an outcome and some exposures, such as some metals, can exhibit complex, nonlinear forms, since some exposures can be beneficial and detrimental at different ranges of exposure. To estimate the health effects of complex mixtures, we propose a flexible Bayesian approach that allows exposures to interact with each other and have nonlinear relationships with the outcome. We induce sparsity using multivariate spike and slab priors to determine which exposures are associated with the outcome and which exposures interact with each other. The proposed approach is interpretable, as we can use the posterior probabilities of inclusion into the model to identify pollutants that interact with each other. We utilize our approach to study the impact of exposure to metals on child neurodevelopment in Bangladesh and find a nonlinear, interactive relationship between arsenic and manganese.

Joe Watson, James V. Zidek, Gavin Shaddick.

Source: The Annals of Applied Statistics, Volume 13, Number 4, 2662--2700.

Abstract:
This paper presents a general model framework for detecting the preferential sampling of environmental monitors recording an environmental process across space and/or time. This is achieved by considering the joint distribution of an environmental process with a site-selection process that considers where and when sites are placed to measure the process. The environmental process may be spatial, temporal or spatio-temporal in nature. By sharing random effects between the two processes, the joint model is able to establish whether site placement was stochastically dependent of the environmental process under study. Furthermore, if stochastic dependence is identified between the two processes, then inferences about the probability distribution of the spatio-temporal process will change, as will predictions made of the process across space and time. The embedding into a spatio-temporal framework also allows for the modelling of the dynamic site-selection process itself. Real-world factors affecting both the size and location of the network can be easily modelled and quantified. Depending upon the choice of the population of locations considered for selection across space and time under the site-selection process, different insights about the precise nature of preferential sampling can be obtained. The general framework developed in the paper is designed to be easily and quickly fit using the R-INLA package. We apply this framework to a case study involving particulate air pollution over the UK where a major reduction in the size of a monitoring network through time occurred. It is demonstrated that a significant response-biased reduction in the air quality monitoring network occurred, namely the relocation of monitoring sites to locations with the highest pollution levels, and the routine removal of sites at locations with the lowest. We also show that the network was consistently unrepresenting levels of particulate matter seen across much of GB throughout the operating life of the network. Finally we show that this may have led to a severe overreporting of the population-average exposure levels experienced across GB. This could have great impacts on estimates of the health effects of black smoke levels.

London (33 Stillness Road, London SE23 ING) : Cleanair, [198-?]

RU Muller
Jul 1, 1987; 7:1951-1968
Articles

The extent of the toy’s durability came as a 'surprise' to researchers behind a new study

A study of microbial communities at the site of a 1989 deep-sea mining test suggests the fragile ecosystem may take half a century to fully recover

A filmed documentary on the University of Michigan 1970 environmental teach-in, asks the questions: Do teach-ins work? (The Bentley Historical Library at the University of Michigan)

When we find something particularly beautiful or impressive, we literally get big eyes: Our pupils dilate. The pupil controls how much light enters the eye and falls on the retina.

Hearing of Mr François Villeroy de Galhau, Governor of the Bank of France, before the Section for the Economy and Finance of the French Economic, Social and Environmental Council, Paris, 8 April 2020.

The leader of a First Nation surrounded by oilsands development is frustrated by the Alberta Energy Regulator's decision to suspend a wide array of environmental reporting requirements for oilsands companies.

MY after work walk on Wednesday was a zig zag, following the sun as she headed west.