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With continuing population growth and rising demand for food, livestock and aquaculture are integral to improving food and nutrition security, health, and livelihoods.1 These positive contributions are being undermined, however, by the negative effects of livestock production and consumption on society and the environment—eg, production of greenhouse gases, environmental degradation,2 emergence of zoonotic diseases,3 and antimicrobial resistance.4 Furthermore, excessive consumption of some livestock products is linked to risk of non-communicable diseases.5 There is little evidence available for addressing these concerns through improving livestock production and animal health systems, and no systematic approach to understanding global livestock populations and the resources invested in animals by societies globally. In 2018, the Global Burden of Animal Diseases (GBADs) programme was launched to address these vital issues.6 Since that time, we have made progress in developing a comprehensive framework for characterising livestock populations and assessing the value invested in livestock, as well as a system to capture net losses in production and societal expenditure on animal health issues (figure). There is an urgent need to develop intelligence systems able to improve decision making for people managing livestock to limit the environmental consequences and public health risks related to livestock production and consumption, while also helping people across the world access high-quality protein and micronutrients, produced in a humane way.

Magnesium is an important divalent ion for organisms. There have been a number of studies in vitro suggesting that magnesium affects enzyme activity. Surprisingly, there have been few studies to determine the cellular mechanism for magnesium regulation. We wished to determine if magnesium levels could be regulated in vivo. It is known that Saccharomyces cerevisiae has two magnesium transporters (ALR1 and ALR2) across the plasma membrane. We created S. cerevisiae strains with deletion of one (alr1 or alr2) or both (alr1 alr2) transporters. The deletion of ALR1 resulted in a decrease in intracellular magnesium levels. An increase from 5 to 100 mM in the exogenous magnesium level increased the intracellular levels of magnesium in the alr1 and alr1 alr2 strains, whereas the expression of magnesium transporters from S. cerevisiae or Arabidopsis thaliana led to a change of the intracellular levels of magnesium in those strains. The deletion of magnesium transporters in A. cerevisiae and overexpression of magnesium transporters from A. thaliana also affected the intracellular concentrations of a range of metal ions, which suggests that cells use non-specific transporters to help regulate metal homeostasis.

A cross-sectional field study was performed to evaluate infection in dogs and cats living on farms with Mycobacterium bovis-infected cattle. The purpose was to determine pet infection status and assess their risk to farm families and/or tuberculosis-free livestock. Data and specimens were collected from 18 cats and five dogs from nine participating farms. ELISA testing for M. bovis and M. avium was conducted. Fifty-one biological samples were cultured; all were negative for M. bovis, although other Mycobacterium species were recovered. No radiographic, serological or skin test evidence of mycobacterial infection was found. These negative results may be due to the low level of M. bovis infection in the cattle and the limited duration of exposure of pets to infected cattle residing on the same farm. No evidence was found to indicate that pets residing on M. bovis-infected Michigan cattle farms pose a risk to humans or M. bovis-free livestock; however, precautionary advice for farm owners was provided.

Since the discovery in the Philippines of the first AIDS case in 1984, several subtypes of HIV-1 have been discovered. From the persons diagnosed in the early 1980s only subtype B was found and thereafter other subtypes, C, D, E, and F were also identified although HIV was not particularly prevalent at that time. In this paper, we determine whether the rapid expansion of genetic diversity will influence molecular diagnosis by polymerase chain reaction (PCR). First, we determine HIV-1 subtype on env (V3) and gag (p24) gene as a means of rapid genetic diversity. Secondly, we tried to analyse and identify homologous regions of gag (p24) gene of HIV genome for diagnostic purposes of designing primers. Out of 46 samples analysed, six subtypes were classified based on gag and env gene subtyping namely: 33 subtype B/B (71.2%), nine subtype A/E and one each subtype C/C, A/B and G/A (2.2% each). As a result, occurrence of non-subtype B and inter-subtype recombinant contributed to expanding genetic diversity. Based on inter- and intra-subtype gag alignment, oligonucleotides (>10 bases in length) could be easily selected as a universal primer to produce the PCR product composed of more than 100bp. This indicates that the PCR technology can be safely used with limited length of primers for the diagnosis of HIV infection in this country.

The discussion about bioenergy solutions and respective interaction with food security concerns continues to be a difficult subject in the international arena. The academic efforts to address the issue should be based on facts and models that allow a sound decision process. However, beyond theoretical considerations and model implications, the facts based on case studies provide, probably, the most powerful arguments, mainly when they are supported by some rationalization and a chosen reference model. The research we want to discuss is based on the study of the two major countries and \"players\" in the bioenergy initiatives and related agricultural changes driven by that process, USA and Brazil. The key factors to study the subject are markets, institutions and regulation needs, within a systematic approach, beginning with sustainability considerations (environment impacts), market behaviour and food prices and opportunities \"versus\" risks at local and global levels. For agribusiness opportunities it seems evident that bioenergy alternative is a powerful area for intervention mainly in less developed countries with available land resources. On the other hand, markets and mainly food markets need to be under consideration which might require institutional innovation and different forms of regulation, both public and private regulation. More regulation does not mean, necessarily, less markets and more state intervention. In some cases it can be a decisive factor for better markets and more market economic driven changes. The actual research also provides examples of private regulation with good results.

Food system dynamics worldwide are under a new paradigm. Energy supply based on renewable natural resources is now a necessary solution, where agri-business can play an important role, and food systems will have to interact worldwide with new competitors for land and agriculture activity. The argument in this paper is based on the evidence that innovation and technology changes in food production (agricultural production) can offer a sustainable supply of grain and biomass, when demand behaviour is consistent and very flexible (demand elasticity above 1). The main argument is based on the hypothesis that demand behaviour is the main driver in food systems, which can be observed looking at technical and technological changes in production systems in Europe and elsewhere, such as Latin America, and more specifically Brazil. Economic surplus distribution across the food chain is another key factor for the induced innovation process to occur dynamically in food and agricultural production, based on well functioning markets such as the international markets (elastic demand for most countries). Science will face a new industry demand for solutions on the production side that are able to provide sustainability and supply increases that have to support empowerment of the primary sector to help producers capture surplus created by new technology possibilities, and \"new demands\". Technological changes will occur quickly enough to avoid strong changes in prices if, and only if, producers are able to look at new opportunities with conditions (and sufficient time) to improve their business (and share on economic surplus). Institutional innovation is another key factor in the food system, and should also provide capability to create value to a set of intangible goods provided by the primary sector, giving space for a multi-functionality perspective on the primary sector activity, such as environment and sustainability considerations. The first factor to be considered is certainl

Food system dynamics worldwide are under a new paradigm. Energy supply based on renewable natural resources is now a necessary solution, where agri-business can play an important role, and food systems will have to interact worldwide with new competitors for land and agriculture activity. The argument in this paper is based on the evidence that innovation and technology changes in food production (agricultural production) can offer a sustainable supply of grain and biomass, when demand behaviour is consistent and very flexible (demand elasticity above 1). The main argument is based on the hypothesis that demand behaviour is the main driver in food systems, which can be observed looking at technical and technological changes in production systems in Europe and elsewhere, such as Latin America, and more specifically Brazil. Economic surplus distribution across the food chain is another key factor for the induced innovation process to occur dynamically in food and agricultural production, based on well functioning markets such as the international markets (elastic demand for most countries). Science will face a new industry demand for solutions on the production side that are able to provide sustainability and supply increases that have to support empowerment of the primary sector to help producers capture surplus created by new technology possibilities, and \"new demands\". Technological changes will occur quickly enough to avoid strong changes in prices if, and only if, producers are able to look at new opportunities with conditions (and sufficient time) to improve their business (and share on economic surplus). Institutional innovation is another key factor in the food system, and should also provide capability to create value to a set of intangible goods provided by the primary sector, giving space for a multi-functionality perspective on the primary sector activity, such as environment and sustainability considerations. The first factor to be considered is certainly the market functioning, because food production traditionally suffers from market problems, which began with the characteristics of the products, space diversity, conservation problems, and production seasonality (to mention only the most obvious). Other considerations related with the environment, and non tangible goods, such as the landscape dimension (and other dimensions on man's relationship with nature), will continue to deserve new initiatives to improve the Quality of Life.

Extensive ecosystem restoration is increasingly seen as being central to conserving biodiversity 1 and stabilizing the climate of the Earth 2 . Although ambitious national and global targets have been set, global priority areas that account for spatial variation in benefits and costs have yet to be identified. Here we develop and apply a multicriteria optimization approach that identifies priority areas for restoration across all terrestrial biomes, and estimates their benefits and costs. We find that restoring 15% of converted lands in priority areas could avoid 60% of expected extinctions while sequestering 299 gigatonnes of CO 2 —30% of the total CO 2 increase in the atmosphere, or 14% of total emissions, since the Industrial Revolution. The inclusion of several biomes is key to achieving multiple benefits. Cost effectiveness can increase up to 13-fold when spatial allocation is optimized using our multicriteria approach, which highlights the importance of spatial planning. Our results confirm the vast potential contributions of restoration to addressing global challenges, while underscoring the necessity of pursuing these goals synergistically. Multicriteria optimization identifies global priority areas for ecosystem restoration and estimates their benefits for biodiversity and climate, providing cost–benefit analyses that highlight the importance of optimizing spatial planning and incorporating several biomes in restoration strategies.

Humanity will soon define a new era for nature—one that seeks to transform decades of underwhelming responses to the global biodiversity crisis. Area-based conservation efforts, which include both protected areas and other effective area-based conservation measures, are likely to extend and diversify. However, persistent shortfalls in ecological representation and management effectiveness diminish the potential role of area-based conservation in stemming biodiversity loss. Here we show how the expansion of protected areas by national governments since 2010 has had limited success in increasing the coverage across different elements of biodiversity (ecoregions, 12,056 threatened species, ‘Key Biodiversity Areas’ and wilderness areas) and ecosystem services (productive fisheries, and carbon services on land and sea). To be more successful after 2020, area-based conservation must contribute more effectively to meeting global biodiversity goals—ranging from preventing extinctions to retaining the most-intact ecosystems—and must better collaborate with the many Indigenous peoples, community groups and private initiatives that are central to the successful conservation of biodiversity. The long-term success of area-based conservation requires parties to the Convention on Biological Diversity to secure adequate financing, plan for climate change and make biodiversity conservation a far stronger part of land, water and sea management policies. The long-term success of area-based conservation—including both protected areas and other effective area-based conservation measures—after 2020 will depend on governments securing adequate funding and prioritizing biodiversity in land, water and sea management.

A crucial factor in the efficient design of concrete sustainable buildings is the compressive strength (Cs) of eco-friendly concrete. In this work, a hybrid model of Gradient Boosting Regression Tree (GBRT) with grid search cross-validation (GridSearchCV) optimization technique was used to predict the compressive strength, which allowed us to increase the precision of the prediction models. In addition, to build the proposed models, 164 experiments on eco-friendly concrete compressive strength were gathered for previous researches. The dataset included the water/binder ratio (W/B), curing time (age), the recycled aggregate percentage from the total aggregate in the mixture (RA%), ground granulated blast-furnace slag (GGBFS) material percentage from the total binder used in the mixture (GGBFS%), and superplasticizer (kg). The root mean square error (RMSE) and coefficient of determination (R2) between the observed and forecast strengths were used to evaluate the accuracy of the predictive models. The obtained results indicated that—when compared to the default GBRT model—the GridSearchCV approach can capture more hyperparameters for the GBRT prediction model. Furthermore, the robustness and generalization of the GSC-GBRT model produced notable results, with RMSE and R2 values (for the testing phase) of 2.3214 and 0.9612, respectively. The outcomes proved that the suggested GSC-GBRT model is advantageous. Additionally, the significance and contribution of the input factors that affect the compressive strength were explained using the Shapley additive explanation (SHAP) approach.