Social Entrepreneurship that Truly Benefits the Poor: An Integrative Justice Approach

El espectacular crecimiento de los emprendimientos sociales en la última década ha demostrado hábilmente cómo la tecnología, la innovación y el espíritu emprendedor pueden permitirse mejores soluciones a los problemas sociales y ambientales acuciantes de nuestro tiempo que los esfuerzos basados en la ayuda tradicional y la caridad. En la mayoría de los casos, pero no siempre, los pobres y los desfavorecidos se han beneficiado del crecimiento de los emprendimientos sociales. Con el fin de garantizar que el emprendimiento social realmente beneficia a los pobres, es imprescindible que haya guías normativas para la participación justa y equitativa con las poblaciones empobrecidas. Un modelo que ha sido presentado en la literatura de marketing y política pública es el modelo de justicia integrada (MJI) para las poblaciones empobrecidas. Mientras que el MJI se desarrolló principalmente en el contexto de las empresas multinacionales (EMN) que operan en mercados emergentes, su aplicabilidad se extiende más allá de las EMN. Este artículo trata de aplicar los principios del MJI en el contexto del emprendimiento social a fin de proporcionar a las organizaciones sociales emprendedoras (OSE) de un marco normativo destinado a garantizar que los pobres realmente se benefician de sus actividades. En base a este marco, el artículo sugiere algunas áreas a las que las OSE debe prestar especial atención en su práctica. El artículo también presenta algunas sugerencias para investigaciones futuras.The phenomenal growth of social entrepreneurship over the last decade has ably demonstrated how technology, innovation, and an entrepreneurial spirit can afford better solutions to the vexing social and environmental problems of our time than can traditional aid and charity- based efforts. In most cases, but not always, the poor and disadvantaged have benefited from the growth of social entrepreneurship. In order to ensure that social entrepreneurship does indeed benefit the poor, it is imperative that there be normative guidelines for fair and just engagement with impoverished populations. A model that has been presented in the marketing and public policy literature is the integrative justice model (IJM) for impoverished populations. While the IJM was developed primarily in the context of multinational corporations (MNCs) operating in emerging markets, its applicability extends beyond MNCs. This article attempts to apply the IJM principles in the context of social entrepreneurship in order to provide social entrepreneurial organizations (SEOs) with a normative framework aimed at ensuring that the poor truly benefit from their activities. Based on this framework, the article suggests certain areas to which SEOs ought to be particularly attentive in their practice. The article also makes some suggestions for further research.

The Papal Encyclical Laudato Si’

This article seeks to reflect upon Laudato Si’, the papal encyclical on ecology and sustainable development, and uncover its apparent philosophical and practical approach to the environment. It begins with a discussion of paradigms of thought that outline the new ecological paradigm (NEP) suggested in the ecological literature, thereby helping to situate the ecosophy of Laudato Si’ within current thought. As we will show, Laudato Si’ differs from the NEP by linking the poor to our approach to sustainability and in its consideration of integral ecology. Specific principles for sustainability in business are then identified and strategic approaches are recommended, as are guidelines for an eco-justice approach to business and business education

Reproducibility in the absence of selective reporting : An illustration from large-scale brain asymmetry research

Altres ajuts: Max Planck Society (Germany).The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p-hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left-right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta-analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an "ideal publishing environment," that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically-used sample sizes

Para-infectious brain injury in COVID-19 persists at follow-up despite attenuated cytokine and autoantibody responses

To understand neurological complications of COVID-19 better both acutely and for recovery, we measured markers of brain injury, inflammatory mediators, and autoantibodies in 203 hospitalised participants; 111 with acute sera (1–11 days post-admission) and 92 convalescent sera (56 with COVID-19-associated neurological diagnoses). Here we show that compared to 60 uninfected controls, tTau, GFAP, NfL, and UCH-L1 are increased with COVID-19 infection at acute timepoints and NfL and GFAP are significantly higher in participants with neurological complications. Inflammatory mediators (IL-6, IL-12p40, HGF, M-CSF, CCL2, and IL-1RA) are associated with both altered consciousness and markers of brain injury. Autoantibodies are more common in COVID-19 than controls and some (including against MYL7, UCH-L1, and GRIN3B) are more frequent with altered consciousness. Additionally, convalescent participants with neurological complications show elevated GFAP and NfL, unrelated to attenuated systemic inflammatory mediators and to autoantibody responses. Overall, neurological complications of COVID-19 are associated with evidence of neuroglial injury in both acute and late disease and these correlate with dysregulated innate and adaptive immune responses acutely

The Papal Encyclical Laudato Si’

This article seeks to reflect upon Laudato Si’, the papal encyclical on ecology and sustainable development, and uncover its apparent philosophical and practical approach to the environment. It begins with a discussion of paradigms of thought that outline the new ecological paradigm (NEP) suggested in the ecological literature, thereby helping to situate the ecosophy of Laudato Si’ within current thought. As we will show, Laudato Si’ differs from the NEP by linking the poor to our approach to sustainability and in its consideration of integral ecology. Specific principles for sustainability in business are then identified and strategic approaches are recommended, as are guidelines for an eco-justice approach to business and business education

The Genome Sequence of Taurine Cattle:A Window to Ruminant Biology and Evolution

To understand the biology and evolution of ruminants, the cattle genome was sequenced to about sevenfold coverage. The cattle genome contains a minimum of 22,000 genes, with a core set of 14,345 orthologs shared among seven mammalian species of which 1217 are absent or undetected in noneutherian (marsupial or monotreme) genomes. Cattle-specific evolutionary breakpoint regions in chromosomes have a higher density of segmental duplications, enrichment of repetitive elements, and species-specific variations in genes associated with lactation and immune responsiveness. Genes involved in metabolism are generally highly conserved, although five metabolic genes are deleted or extensively diverged from their human orthologs. The cattle genome sequence thus provides a resource for understanding mammalian evolution and accelerating livestock genetic improvement for milk and meat production.Fil: Bovine Genome Sequencing and Analysis Consortium. Bovine Genome Sequencing And Analysis Consortium; Estados UnidosFil: Amadio, Ariel Fernando. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Rafaela; ArgentinaFil: Poli, Mario Andres. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Genética; Argentin

TRY plant trait database, enhanced coverage and open access

Plant traits-the morphological, ahawnatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Probing heavy Majorana neutrinos and the Weinberg operator through vector boson fusion processes in proton-proton collisions at s=\sqrt{s} = 13 TeV

The first search exploiting the vector boson fusion process to probe heavy Majorana neutrinos and the Weinberg operator at the LHC is presented. The search is performed in the same-sign dimuon final state using a proton-proton collision data set recorded at $\sqrt{s} =$ 13 TeV, collected with the CMS detector and corresponding to a total integrated luminosity of 138 fb$^{-1}$. The results are found to agree with the predictions of the standard model. For heavy Majorana neutrinos, constraints on the squared mixing element between the muon and the heavy neutrino are derived in the heavy neutrino mass range 50 GeV-25 TeV; for masses above 650 GeV these are the most stringent constraints from searches at the LHC to date. A first test of the Weinberg operator at colliders provides an observed upper limit at 95% confidence level on the effective $\mu\mu$ Majorana neutrino mass of 10.8 GeV.The first search exploiting the vector boson fusion process to probe heavy Majorana neutrinos and the Weinberg operator at the LHC is presented. The search is performed in the same-sign dimuon final state using a proton-proton collision dataset recorded at s=13  TeV, collected with the CMS detector and corresponding to a total integrated luminosity of 138  fb−1. The results are found to agree with the predictions of the standard model. For heavy Majorana neutrinos, constraints on the squared mixing element between the muon and the heavy neutrino are derived in the heavy neutrino mass range 50 GeV–25 TeV; for masses above 650 GeV these are the most stringent constraints from searches at the LHC to date. A first test of the Weinberg operator at colliders provides an observed upper limit at 95% confidence level on the effective μμ Majorana neutrino mass of 10.8 GeV.The first search exploiting the vector boson fusion process to probe heavy Majorana neutrinos and the Weinberg operator at the LHC is presented. The search is performed in the same-sign dimuon final state using a proton-proton collision data set recorded at $\sqrt{s}$ = 13 TeV, collected with the CMS detector and corresponding to a total integrated luminosity of 138 fb$^{-1}$. The results are found to agree with the predictions of the standard model. For heavy Majorana neutrinos, constraints on the squared mixing element between the muon and the heavy neutrino are derived in the heavy neutrino mass range 50 GeV-25 TeV; for masses above 650 GeV these are the most stringent constraints from searches at the LHC to date. A first test of the Weinberg operator at colliders provides an observed upper limit at 95% confidence level on the effective $\mu\mu$ Majorana neutrino mass of 10.8 GeV