We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Foliar-applied postemergence applications of glufosinate are often applied to glufosinate-resistant crops to provide nonselective weed control without significant crop injury. Rainfall, air temperature, solar radiation, and relative humidity near the time of application have been reported to affect glufosinate efficacy. However, previous research may have not captured the full range of weather variability to which glufosinate may be exposed to prior to or following application. Additionally, climate models suggest more extreme weather will become the norm, further expanding this weather range glufosinate can be exposed to. The objective of this research was to quantify the probability of successful weed control (efficacy ≥85%) with glufosinate applied to some key weed species across a broad range of weather conditions. A database of >10,000 North American herbicide evaluation trials was used in this study. The database was filtered to include treatments with a single POST application of glufosinate applied to waterhemp (Amaranthus tuburculatus (Moq.) J. D. Sauer), morningglory species (Ipomoea spp.), and/or giant foxtail (Setaria faberi Herm.) <15cm in height. These species were chosen because they are well represented in the database and listed as common and troublesome weed species in both corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] (Van Wychen 2020, 2022). Individual random forest models were created. Low rainfall (≤20 mm) over the five days prior to glufosinate application was detrimental to the probability of successful control of A. tuburculatus and S. faberi. Lower relative humidity (≤70%) and solar radiation (≤23 MJ m-1 day-1) the day of application reduced the probability of successful weed control in most cases. Additionally, the probability of successful control decreased for all species when average air temperature over the first five days after application was ≤25C. As climate continues to change and become more variable, the risk of unacceptable control of several common species with glufosinate is likely to increase.
Foliar applied postemergence herbicides are a critical component of corn and soybean weed management programs in North America. Rainfall and air temperature around the time of application may affect the efficacy of herbicides applied postemergence in corn or soybean production fields. However, previous research utilized a limited number of site-years and may not capture the range of rainfall and air temperatures that these herbicides are exposed to throughout North America. The objective of this research was to model the probability of achieving successful weed control (≥85%) with commonly applied postemergence herbicides across a broad range of environments. A large database of over 10,000 individual herbicide evaluation field trials conducted throughout North America was used in this study. The database was filtered to include only trials with a single postemergence application of fomesafen, glyphosate, mesotrione, or fomesafen + glyphosate. Waterhemp (Amaranthus tuburculatus (Moq.) J. D. Sauer), morningglory species (Ipomoea spp.), and giant foxtail (Setaria faberi Herrm.) were the weeds of focus. Separate random forest models were created for each weed species by herbicide combination. The probability of successful weed control deteriorated when the average air temperature within the first ten d after application was <19 or >25 C for most of the herbicide by weed species models. Additionally, dryer conditions prior to postemergence herbicide application reduced the probability of successful control for several of the herbicide by weed species models. As air temperatures increase and rainfall becomes more variable, weed control with many of the commonly used postemergence herbicides is likely to become less reliable.
The causes of ill health and death are changing and, as we live longer, new health-preventable problems emerge, bringing new challenges. Improving health (physical, mental or both) and promoting general well-being remain major priorities.
Just as important, the difference in health status between rich and poor continues to grow. At a global level, the picture is even more complex. Although there is some evidence that life expectancy is beginning to plateau in developed countries such as the UK, the biggest potential to improve health still lies in addressing inequality between or within countries.
Therefore, this chapter:
summarizes the models of health improvement that are prevalent today;
introduces a combined conceptual model to describe the factors affecting health in modern times; and
presents some case studies of interventions designed to improve health which offer important insight and learning.
Edited by
Sophie Thomson, World Psychiatric Association,Peter Hughes, Springfield University Hospital, London,Sam Gnanapragasam, South London and Maudsley NHS Foundation Trust
Making diagnoses and understanding the appropriate use of medication in treating mental disorders is just one part of mental health care. The other part is psychosocial treatments. In global volunteering it is important to be skilled in the principles and use of these psychological treatments as well as medication. Some aspects of medication are included here as there is so much interplay of psychosocial and prescribing.
Research on the gut microbiome and mental health among children and adolescents is growing. This umbrella review provides a high-level overview of current evidence syntheses to amalgamate current research and inform future directions. Searches were conducted across seven databases for peer-reviewed pediatric (<18 years) review literature. Studies reporting gut microbiome composition and/or biotic supplementation on depression, bipolar disorder, anxiety, attention deficit hyperactivity disorder, autism spectrum disorder (ASD), or obsessive-compulsive disorder (OCD) were included. Deduplication and screening took place in Covidence. A sensitivity analysis was conducted to assess the degree of primary study overlap. Among the 39 included review studies, 23 (59%) were observational and 16 (41%) were interventional. Most reviews (92%) focused on ASD. Over half (56%) of the observational and interventional reviews scored low or critically low for methodological quality. A higher abundance of Clostridium clusters and a lower abundance of Bifidobacterium were consistently observed in ASD studies. Biotic supplementation was associated with ASD symptom improvement. Gut microbiome-mental health evidence syntheses in child and youth depression, anxiety, bipolar disorder, and OCD are lacking. Preliminary evidence suggests an association between specific microbiota and ASD symptoms, with some evidence supporting a role for probiotic supplementation ASD therapy.
Seismic hazard and risk analyses underpin the loadings prescribed by engineering design codes, the decisions by asset owners to retrofit structures, the pricing of insurance policies, and many other activities. This is a comprehensive overview of the principles and procedures behind seismic hazard and risk analysis. It enables readers to understand best practises and future research directions. Early chapters cover the essential elements and concepts of seismic hazard and risk analysis, while later chapters shift focus to more advanced topics. Each chapter includes worked examples and problem sets for which full solutions are provided online. Appendices provide relevant background in probability and statistics. Computer codes are also available online to help replicate specific calculations and demonstrate the implementation of various methods. This is a valuable reference for upper level students and practitioners in civil engineering, and earth scientists interested in engineering seismology.
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London
Jack Baker, Stanford University, California,Brendon Bradley, University of Canterbury, Christchurch, New Zealand,Peter Stafford, Imperial College of Science, Technology and Medicine, London