599 research outputs found
Meta-analysis of global livestock urine-derived nitrous oxide emissions from agricultural soils
Nitrous oxide (N2O) is an air pollutant of major environmental concern, with agriculture representing 60% of anthropogenic global N2O emissions. Much of the N2O emissions from livestock production systems result from transformation of N deposited to soil within animal excreta. There exists a substantial body of literature on urine patch N2O dynamics, we aimed to identify key controlling factors influencing N2O emissions and to aid understanding of knowledge gaps to improve GHG reporting and prioritise future research. We conducted an extensive literature review and random effect meta-analysis (using REML) of results to identify key relationships between multiple potential independent factors and global N2O emissions factors (EFs) from urine patches. Mean air temperature, soil pH and ruminant animal species (sheep or cow) were significant factors influencing the EFs reviewed. However, several factors that are known to influence N2O emissions, such as animal diet and urine composition, could not be considered due to the lack of reported data. The review highlighted a widespread tendency for inadequate metadata and uncertainty reporting in the published studies, as well as the limited geographical extent of investigations, which are more often conducted in temperate regions thus far. Therefore, here we give recommendations for factors that are likely to affect the EFs and should be included in all future studies, these include: soil pH and texture; experimental set-up; direct measurement of soil moisture and temperature during the study period; amount and composition of urine applied; animal type and diet; N2O emissions with a measure of uncertainty; data from a control with zero-N application and meteorological data
Biofluid Biomarkers in the Prognosis of Amyotrophic Lateral Sclerosis: Recent Developments and Therapeutic Applications
Amyotrophic lateral sclerosis; Biomarker; PrognosisEsclerosi lateral amiotrĂČfica; Biomarcador; PronĂČsticEsclerosis lateral amiotrĂłfica; Biomarcador; PronĂłsticoAmyotrophic lateral sclerosis is a neurodegenerative disease characterized by the degeneration of motor neurons for which effective therapies are lacking. One of the most explored areas of research in ALS is the discovery and validation of biomarkers that can be applied to clinical practice and incorporated into the development of innovative therapies. The study of biomarkers requires an adequate theoretical and operational framework, highlighting the âfit-for-purposeâ concept and distinguishing different types of biomarkers based on common terminology. In this review, we aim to discuss the current status of fluid-based prognostic and predictive biomarkers in ALS, with particular emphasis on those that are the most promising ones for clinical trial design and routine clinical practice. Neurofilaments in cerebrospinal fluid and blood are the main prognostic and pharmacodynamic biomarkers. Furthermore, several candidates exist covering various pathological aspects of the disease, such as immune, metabolic and muscle damage markers. Urine has been studied less often and should be explored for its possible advantages. New advances in the knowledge of cryptic exons introduce the possibility of discovering new biomarkers. Collaborative efforts, prospective studies and standardized procedures are needed to validate candidate biomarkers. A combined biomarkers panel can provide a more detailed disease status.This study has been funded by Instituto de Salud Carlos III through the project âPI19/0593â (co-funded by European Regional Development Fund: âA way to make Europe â)
Using social media to assess the consumer nutrition environment: comparing Yelp reviews with a direct observation audit instrument for grocery stores
Objective To examine the feasibility of using social media to assess the consumer nutrition environment by comparing sentiment expressed in Yelp reviews with information obtained from a direct observation audit instrument for grocery stores. Design Trained raters used the Nutrition Environment Measures Survey in Stores (NEMS-S) in 100 grocery stores from July 2015 to March 2016. Yelp reviews were available for sixty-nine of these stores and were retrieved in February 2017 using the Yelp Application Program Interface. A sentiment analysis was conducted to quantify the perceptions of the consumer nutrition environment in the review text. Pearson correlation coefficients (Ï) were used to compare NEMS-S scores with Yelp review text on food availability, quality, price and shopping experience. Setting Detroit, Michigan, USA. Participants None. Results Yelp reviews contained more comments about food availability and the overall shopping experience than food price and food quality. Negative sentiment about food prices in Yelp review text and the number of dollar signs on Yelp were positively correlated with observed food prices in stores (Ï=0·413 and 0·462, respectively). Stores with greater food availability were rated as more expensive on Yelp. Other aspects of the food store environment (e.g. overall quality and shopping experience) were captured only in Yelp. Conclusions While Yelp cannot replace in-person audits for collecting detailed information on the availability, quality and cost of specific food items, Yelp holds promise as a cost-effective means to gather information on the overall cost, quality and experience of food stores, which may be relevant for nutrition outcomes
Acoustic identification of Mexican bats based on taxonomic and ecological constraints on call design
1. Monitoring global biodiversity is critical for understanding responses to anthropogenic change, but biodiversity monitoring is often biased away from tropical, megadiverse areas that are experiencing more rapid environmental change. Acoustic surveys are increasingly used to monitor biodiversity change, especially for bats as they are important indicator species and most use sound to detect, localise and classify objects. However, using bat acoustic surveys for monitoring poses several challenges, particularly in mega-diverse regions. Many species lack reference recordings, some species have high call similarity or differ in call detectability, and quantitative classification tools, such as machine learning algorithms, have rarely been applied to data from these areas. 2. Here, we collate a reference call library for bat species that occur in a megadiverse country, Mexico. We use 4,685 search-phase calls from 1,378 individual sequences of 59 bat species to create automatic species identification tools generated by machine learning algorithms (Random Forest). We evaluate the improvement in species-level classification rates gained by using hierarchical classifications, reflecting either taxonomic or ecological constraints (guilds) on call design, and examine how classification rate accuracy changes at different hierarchical levels (family, genus, and guild). 3. Species-level classification of calls had a mean accuracy of 66% and the use of hierarchies improved mean species-level classification accuracy by up to 6% (species within families 72%, species within genera 71.2% and species within guilds 69.1%). Classification accuracy to family, genus and guild-level was 91.7%, 77.8% and 82.5%, respectively. 4. The bioacoustic identification tools we have developed are accurate for rapid biodiversity assessments in a megadiverse region and can also be used effectively to classify species at broader taxonomic or ecological levels. This flexibility increases their usefulness when there are incomplete species reference recordings and also offers the opportunity to characterise and track changes in bat community structure. Our results show that bat bioacoustic surveys in megadiverse countries have more potential than previously thought to monitor biodiversity changes and can be used to direct further developments of bioacoustic monitoring programs in Mexico
How stable are visions for protected area management? Stakeholder perspectives before and during a pandemic
Envisioning processes enable protected area managers to chart a course for future management to reach desired goals, but unexpected changes that could affect future visions are not usually considered. The global COVID-19 pandemic provided an opportunity to explore changes in stakeholder visions, the values that underpin the visions, and their perceptions of landscape changes and the underlying drivers (e.g. climate change, mass tourism and demographic trends). Through a mixed-methods approach in this post-evaluation study, we gathered comparative data on these issues from stakeholders in the Sierra de Guadarrama National Park, Spain, between July 2019 (pre-pandemic) and October 2020 (mid-pandemic). Our qualitative analysis demonstrates that pre-pandemic, differences in visions for protected area management were largely spurred by different perceptions of drivers of change, rather than differences in values or perceived landscape changes, which were similar across different vision themes. One year later, in the midst of the COVID-19 pandemic, the majority of stakeholders reported that their values, visions and perceptions of drivers did not change despite this large-scale disturbance. Of the 20%-30% of stakeholders that did report changes, visions generally shifted towards greater prioritization of biodiversity and nature conservation as a result of heightened perceptions of the impacts of drivers of change associated with an increase in the numbers of park visitors. These drivers included mass tourism, mountain recreation, lack of environmental awareness, and change in values and traditions. Our findings reinforce the importance of adaptive and inclusive management of protected areas, including enhancing transparency and communications regarding factors driving change in the landscape, and integration of local and traditional knowledge and stakeholder perceptions of changes and drivers. Furthermore, management plans integrating stakeholder values have the potential to stay relevant even in the face of wildcard events such as a pandemic. To enhance the relevancy of visions and scenarios in conservation and land-use planning, scenario planning methodologies should more strongly consider different potential disturbances and how drivers of change in the near and far future can be affected by wildcard events such as a pandemic. A free Plain Language Summary can be found within the Supporting Information of this article.Peer reviewe
Au-delĂ de lâethnicitĂ© et de la parentĂ© en Afghanistan : une approche ethnographique des liens transversaux de coopĂ©ration
La persistance du tribalisme et les tensions ethniques sont rĂ©guliĂšrement invoquĂ©es pour expliquer la prolongation de la guerre en Afghanistan. Le cas des Hazaras traitĂ© ici illustre la logique segmentaire inhĂ©rente Ă lâanthropologie politique de lâAfghanistan. LâĂ©mergence progressive de la dimension ethnique sur la scĂšne politique afghane ainsi que le poids persistant des relations de parentĂ© ne doivent pas conduire Ă nĂ©gliger la prĂ©gnance des liens transversaux de solidaritĂ© qui peuvent se dĂ©velopper entre voisins, camarades de classe ou collĂšgues. Les relations sociales quotidiennes suivent des logiques complexes. Pour faire face Ă lâinsĂ©curitĂ© et diminuer les risques, les Afghans tendent Ă diversifier leurs relations sociales, mais aussi leurs activitĂ©s Ă©conomiques et leurs affiliations politiques. La fragmentation sociale et le factionnalisme politique apparaissent dĂšs lors comme des Ă©lĂ©ments structurels qui tendent Ă un certain Ă©quilibre des entitĂ©s politiques en prĂ©sence.Lâethnicisation de la scĂšne politique afghane est situĂ©e dans son contexte historique ; elle apparaĂźt dĂšs lors comme le rĂ©sultat plus que la cause de la guerre.The persistence of tribalism and ethnic tensions are regularly invoked to explain the prolongation of the war in Afghanistan. The case of the Hazaras, treated here, illustrates the segmentary logic inherent in the political anthropology of Afghanistan. The gradual emergence of the ethnic dimension on the Afghan political scene and the lasting weight of kinship must not lead us to overlook the significance of transversal ties of solidarity, which can develop between neighbors, classmates or colleagues. Everyday social relations follow complex patterns. To cope with uncertainty and reduce risks, the Afghans tend to diversify their social relations as well as their economic activities and political affiliations. Social fragmentation and political factionalism therefore appear as structural elements that tend to keep a balance between political blocks. The ethnicization of the Afghan political scene is situated in its historical context; it appears thus to be the result more than the cause of the war
Valvular Aortic Stenosis: A Proteomic Insight
Calcified aortic valve disease is a slowly progressive disorder that ranges from mild valve thickening with no obstruction of blood flow, known as aortic sclerosis, to severe calcification with impaired leaflet motion or aortic stenosis. In the present work we describe a rapid, reproducible and effective method to carry out proteomic analysis of stenotic human valves by conventional 2-DE and 2D-DIGE, minimizing the interference due to high calcium concentrations. Furthermore, the protocol permits the aortic stenosis proteome to be analysed, advancing our knowledge in this area
British Women Writers and the French Revolution. Citizens of the World
Le rĂ©cent article de Matthew O. Grenby dans le n° 342 dâoctobre-dĂ©cembre 2005 des Annales Historiques de la RĂ©volution française soulignait la vitalitĂ© et lâabondance des travaux anglo-saxons concernant lâimpact de la RĂ©volution française sur la littĂ©rature anglaise, ce dont tĂ©moignait la riche bibliographie qui suivait son analyse historiographique. Le nouvel ouvrage dâAdriana Craciun, spĂ©cialiste de littĂ©rature britannique, en est un exemple. Il sâinsĂšre dans la lignĂ©e de ses recherches prĂ©..
Trends in the Management of Non-Vestibular Skull Base and Intracranial Schwannomas
The aim of this review is to analyze the latest trends in the management of nonvestibular skull base and intracranial schwannomas in order to optimize tumor control and quality of life. Non-vestibular cranial nerve schwannomas are rare lesions, representing 5-10% of cranial nerve schwannomas. Management decisions should be individualized depending on tumor size, location and associated functional deficits. Generally, large sized schwannomas exerting significant mass effect with increased intracranial pressure are treated surgically. In some cases, even after optimal skull base resection, it is not possible to achieve a gross total resection because tumor location and extent and/or to reduce morbidity. Thus, subtotal resection followed by stereotactic radiosurgery or fractioned radiotherapy offers an alternative approach. In certain cases, stereotactic radiosurgery or radiotherapy alone achieves good tumor control rates and less morbidity to gross total resection. Finally, given the slow growth rate of most of these tumors, observation with periodic radiographic follow-up approach is also a reasonable alternative for small tumors with few, if any, symptoms.Peer reviewe
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