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First Nations people participation in environmental watering 2018-19.




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Developing tailored study plans for the new higher education environment : 'Letting go of control' : final report / Professor Joe Shapter, National Teaching Fellow, Flinders University ; Associate Professor Ingo Koeper, College of Science and Engi

"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.




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Regional recycling transport assistance package : program guidelines / prepared by: Waste Avoidance and Recovery Programs, Office of Resource Recovery, Department of Environment and Science.

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.




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Interim technical report : project 3.1 : 3D seismic exploration for hard rock environments : seismic exploration of nickel deposits / Milovan Urosevic and DET CRC Project 3.1 Researchers.

"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.




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Interim technical report : project 3.1 : lower cost, more effective 3D seismic exploration for hard rock environments : seismic exploration for mineral deposits case study summary table / authors: Milovan Urosevic, Andrej Bona.

"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.




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Holistic management : a commonsense revolution to restore our environment / Allan Savory ; with Jody Butterfield.

Environmental economics.




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Global meat : social and environmental consequences of the expanding meat industry / edited by Bill Winders and Elizabeth Ransom.

Meat industry and trade -- Environmental aspects.




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Random environment binomial thinning integer-valued autoregressive process with Poisson or geometric marginal

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.




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Effects of gene–environment and gene–gene interactions in case-control studies: A novel Bayesian semiparametric approach

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.




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Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data. (arXiv:2005.03221v1 [cs.CV])

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.




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Tumor microenvironments in organs : from the brain to the skin.

9783030362140 (electronic bk.)




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Tumor microenvironment : hematopoietic cells.

9783030357238 (electronic bk.)




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Tumor microenvironment : signaling pathways.

9783030355821 (electronic bk.)




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Tumor microenvironment : the main driver of metabolic adaptation

9783030340254 (electronic bk.)




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The interaction of food industry and environment

9780128175156 (electronic bk.)




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Plastic waste and recycling : environmental impact, societal issues, prevention, and solutions

9780128178812 (electronic bk.)




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Plant microRNAs : shaping development and environmental responses

9783030357726 (electronic bk.)




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Nanomaterials and environmental biotechnology

9783030345440 (electronic bk.)




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Formation and control of biofilm in various environments

Kanematsu, Hideyuki, author
9789811522406 (electronic bk.)




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Current microbiological research in Africa : selected applications for sustainable environmental management

9783030352967 (electronic bk.)




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Beyond our genes : pathophysiology of gene and environment interaction and epigenetic inheritance

9783030352134 (electronic bk.)




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Aquatic biopolymers : understanding their industrial significance and environmental implications

Olatunji, Ololade.
9783030347093 (electronic bk.)




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Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors

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.




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A general theory for preferential sampling in environmental networks

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.




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Cleanair posters to create a smoke-free environment / designed by Biman Mullick ; published by Cleanair.

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




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The effects of changes in the environment on the spatial firing of hippocampal complex-spike cells

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




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On This Scorching-Hot Exoplanet, a Forecast of Molten Iron Rain

Winds on WASP-76b blow gaseous iron into cooler regions, where it condenses and falls to the planet’s surface as liquid




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Lego Pieces Could Last for 1,300 Years in Marine Environments

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




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Why Scottish Archaeologists Are Building a Replica of an Iron Age Stone Tower

By building a new broch, the project aims to better understand how and why the original structures were constructed




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Deep-Sea Mining’s Environmental Toll Could Last Decades

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




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Enact: Teach-In on the Environment

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)




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Our pupil can follow rhythms that arise in the environment

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.




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François Villeroy de Galhau: From the emergency crisis response to initial thinking on the post-crisis environment

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.




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Cyber Actors Take Advantage of COVID-19 Pandemic to Exploit Increased Use of Virtual Environments




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First Nations worried by suspension of oilsands environmental monitoring

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.



  • News/Canada/Edmonton

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Now is the time to reinvent travel for our economic and environmental futures

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




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Genetic and Environmental Components of Neonatal Weight Gain in Preterm Infants

Several studies have focused on birth weight heritability, reporting results that range between 40% and 80%. Few studies have focused on the process of weight gain and were mainly based on heterogeneous samples of infants.

The present work looks at a uniform set of healthy preterm newborn twins. The resulting high heritability estimate could suggest using the inclusion criteria to identify genes that regulate postnatal weight gain or failure. (Read the full article)




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Genetic and Environmental Influences on Infant Sleep

Twin studies provide a natural experiment that can determine the extent of genetic and environmental influences on sleep behavior. Previous studies have indicated that genes contribute moderately to sleep.

In the largest pediatric study to date, we demonstrate that the shared environment strongly influences sleep behavior in infants, with no gender differences in the results. This research provides strong impetus to future work identifying the key modifiable environmental drivers. (Read the full article)




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Effects of Iron Supplementation of LBW Infants on Cognition and Behavior at 3 Years

Low birth weight (LBW) infants (<2500 g) are at risk for cognitive and behavioral problems later in life. During infancy, they are also at risk for iron deficiency, which has been associated with impaired neurodevelopment in other high-risk groups.

Iron supplementation during the first 6 months of life to LBW infants reduces the risk of behavioral problems at 3.5 years. Mild iron deficiency in infancy may be an important, preventable contributor to behavioral problems in children born with LBW. (Read the full article)




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The Relationship Between Cow's Milk and Stores of Vitamin D and Iron in Early Childhood

Cow’s milk consumption has opposite effects on vitamin D and iron levels in children; however, the amount of cow’s milk intake required for sufficient stores of vitamin D and iron is poorly understood, and existing guidelines on consumption are unclear.

Two cups of cow’s milk per day is sufficient to maintain healthy vitamin D and iron stores for most children. Wintertime vitamin D supplementation appears particularly important among children with darker skin pigmentation. (Read the full article)




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Randomized Trial of Iron Supplementation versus Routine Iron Intake in VLBW Infants

The American Academy of Pediatrics recommends that infants <1500 g birth weight receive an iron intake of 4 mg/kg per day. There are no randomized trials to support this recommendation.

This trial compared the effect of iron supplementation of 2 mg/kg per day on the hematocrit at 36 weeks' postmenstrual age. This study concluded that iron supplementation does not affect the 36-week hematocrit or the number of transfusions in infants <1500 g. (Read the full article)




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School Environment and Adolescent Depressive Symptoms: A Multilevel Longitudinal Study

Research indicates that adolescents who perceive their school to have a positive socioeducational environment are at reduced risk of developing depressive symptoms. However, there is limited evidence that school environments can influence adolescent emotional health independently from individual perceptions.

This multilevel longitudinal study shows that better school socioeducational environments, as assessed at the school level, reduce the prospective risk of depressive symptoms in adolescents. This association is shown to be independent from confounders and stronger in girls than boys. (Read the full article)




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Effect of Iron Deficiency Anemia in Pregnancy on Child Mental Development in Rural China

In humans, the brain growth spurt begins in the last trimester of pregnancy and extends through the first 2 years of life. Studies show poor cognitive and motor development among children who have iron deficiency anemia in infancy.

Prenatal iron deficiency anemia in the third trimester affects child mental development. Prenatal micronutrient supplementation with sufficient iron protects child mental development even when the woman’s iron deficiency anemia is not properly corrected during pregnancy. (Read the full article)




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Association Between Total Duration of Breastfeeding and Iron Deficiency

Previous studies have found a relationship between exclusive breastfeeding for ≥6 months and iron deficiency. Little is known about the relationship between total breastfeeding duration, including the period after the introduction of complementary foods, and infant iron status.

Our results suggest that infants with longer total breastfeeding duration may be at risk for iron deficiency. Our findings highlight a clinically important association warranting additional investigation that may inform future guideline updates regarding assessment of risk for iron deficiency in young infants. (Read the full article)




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Genetic and Environmental Influences on Daytime and Nighttime Sleep Duration in Early Childhood

Sleep patterns of adult monozygotic twins are more similar than those of dizygotic twins, showing moderate heritability and little effects of environmental influences. There have been very few genetically informative studies of sleep in preschool children and results appear inconsistent.

From previous studies, we investigated daytime and nighttime continuous sleep duration longitudinally. This is the first time that the etiologies of daytime and nighttime continuous sleep duration trajectories were studied in early childhood. (Read the full article)




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Environmental Risk Factors by Gender Associated With Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) is the most common mental health condition diagnosed in childhood, is highly heritable, and more common in boys. Although studies have identified perinatal risk factors, no one has investigated perinatal risk factors separately in boys and girls.

Contrary to other studies, low birth weight, postterm pregnancy, low Apgar scores, and fetal distress were not risk factors for ADHD irrespective of gender. Early term deliveries increased the risk of ADHD, and oxytocin augmentation in girls may be protective. (Read the full article)




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Motor Vehicle-Pedestrian Collisions and Walking to School: The Role of the Built Environment

Many studies have demonstrated that the built environment is related to both collision risk and walking to school. However, little research examines the influence of the built environment on the relationship between walking to school and pedestrian collision risk.

Increased walking was not associated with increased pedestrian collision once the effects of the built environment and socioeconomic status were modeled. Safety was related primarily to the built environment and specifically features related to road crossing. (Read the full article)




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Sleep Environment Risks for Younger and Older Infants

Sudden infant death syndrome and other sleep-related causes of infant mortality have several known risk factors. Less is known about the association of those risk factors at different times during infancy.

Risk factors for sleep-related infant deaths may be different for different age groups. The predominant risk factor for younger infants is bed-sharing, whereas rolling to prone, with objects in the sleep area, is the predominant risk factor for older infants. (Read the full article)




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Sleep Duration, Restfulness, and Screens in the Sleep Environment

Inadequate sleep has been identified as a risk factor for obesity and other outcomes. Screen time and the presence of a television in the bedroom have been associated with inadequate sleep, but little is known about small screens (eg, smartphones).

Among 2048 fourth- and seventh-graders, children who slept near a small screen reported shorter sleep durations and perceived insufficient rest or sleep. Presence of a television in the bedroom and more screen time were also associated with poorer sleep. (Read the full article)




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Home Reading Environment and Brain Activation in Preschool Children Listening to Stories

The American Academy of Pediatrics recommends parent-child reading from infancy through at least kindergarten, the span of maximal brain growth. Home literacy environment, including reading behaviors and access to books, has been shown to promote oral language and print concepts.

Home reading environment is positively associated with activation of brain areas supporting narrative comprehension and mental imagery in preschool children. This offers novel insight into the neurobiological foundations of emergent literacy and potential effect of shared reading during early childhood. (Read the full article)