Hadamard Source Encoding Techniques Applied to Apollo Telemetry Links: An Evaluation

The effort described in this paper is an investigation of the possible improvement in performance of the Apollo Unified S-Band Telemetry links due to the use of the Hadamard transform as a means of source encoding. Both rapidly and slowly varying telemetry signals were considered and three sizes of the Hadamard matrix were used. Results indicate that as much as 3-db improvement in system performance may be obtained in systems operating at a 2% RMS error level

The park is ruining our livelihoods. We support the park! Unravelling the paradox of attitudes to protected areas

Despite considerable field-based innovation and academic scrutiny, the nexus between conservation approaches, local support for parks and park effectiveness remains quite puzzling. Common approaches to understanding notions of environmental justice are to understand distributional and procedural issues, representation in decision making, and recognition of authorities and claims. We took a different approach and analysed environmental justice claims through institutional, ideational and psychological lenses. We sought to understand how the national park could have such broad support from local communities despite their acknowledgement that it severely curtailed their livelihoods. We conducted 100 household interviews in three villages that border Nam Et-Phou Louey National Protected Area. Our study found that villagers 1) hold on to broken promises by the State for agricultural activities and alternative revenues without fully changing forest use behaviours; 2) were influenced heavily by the ‘educational’ programmes by the State; 3) accepted the authority of the State and lack of participation in decision-making based on historical experiences and values; 4) justified their burdens by over-emphasising the positive aspects of the park. Our findings present a complementary framework to explain environmental justice claims, allowing for a nuanced analysis of how people respond to justices and injustices, and specifically how injustices can be identified through proven social science concepts

Revisiting Rwanda’s agricultural intensification policy: benefits of embracing farmer heterogeneity and crop-livestock integration strategies

The government of Rwanda is promoting agricultural intensification focused on the production of a small number of targeted commodities as a central strategy to pursue the joint policy goals of economic growth, food security and livelihood development. The dominant approach to increase the productive capacity of the land, crops and animal resources has been through large-scale land consolidation, soil fertility management, and the intensive use of biotechnology and external inputs. However, evidence has shown that many Rwandan farmers, who employ various strategies and mixed farming practices based on their specific economic, social, and environmental circumstances, face difficulties adopting the singular prescribed approach to become more productive, modern commodity producers. To empirically explore diversity in smallholders’ strategies and their contributions to livelihoods and compatibility with the recent intensification policies, we conducted household surveys and in-depth qualitative interviews in rural and peri-urban zones in Rwamagana district in Eastern Rwanda. Our analysis demonstrates how the dominant approach to intensification and specialisation overlooks the heterogeneity and dynamic nature of smallholder strategies. Moreover, our findings illustrate that a comprehensive understanding of farmer heterogeneity is necessary to explain the critical disjuncture between the government’s vision of modern agriculture and the ability of many smallholders to engage with this agenda and may inform opportunities to adapt policies to better align productivity goals and livelihoods. In doing so, we contribute to debates about the current framing of intensification policy that promotes Green Revolution technologies and emphasise alternative pathways for more inclusive and resilient agricultural development in sub-Saharan Africa

Barriers to equity in REDD+: Deficiencies in national interpretation processes constrain adaptation to context

A national interpretation process involving diverse actors and interests is required to transform global environmental initiatives into policies appropriate to the national or subnational context. These processes of localising norms are critical spaces to formulate equitable pathways to environmental conservation, yet have received limited attention from policy makers and researchers. We explored national policy processes for Reducing Emissions from Deforestation and Degradation (REDD+) in Uganda and Nepal from the perspectives of ‘intermediaries’, state and civil society actors at subnational and national scale who promote the interests of various stakeholder groups. Through think-tank meetings and semi-structured interviews with a range of intermediaries, we uncovered that REDD+ implementation processes in both countries are dominated by international actors, applying a demanding administrative agenda and restricting space for deliberation. Consequently, social aspects of policy were compartmentalised, reduced to technical exercises and local equity concerns inadequately addressed in national REDD+ policies. For example, social safeguards approaches were perceived to lack substantive guidelines to promote equity. Limited national political space to criticise government policy and lack of attention to relevant evidence further restricted ability to address entrenched injustices such as status inequalities faced by marginalised groups. Although civil society organisations choose to maintain official involvement with REDD+, many expressed a possibility they would oppose REDD+ in future, or serious doubts about its design and expected outcomes. Concerns centred on lack of recognition of indigenous peoples’ and local communities’ values, identities, practices and institutions such as customary tenure systems, alongside possible detrimental impacts to decentralised forest governance regimes, well established in Nepal and emerging in Uganda. We suggest features to be enshrined in REDD+ policy for adapting national interpretation processes to become more effective spaces for empowering diverse intermediaries to negotiate and influence localisation of international norms, ultimately to promote more equitable pathways to reduced deforestation and degradation

Drug-responsive autism phenotypes in the 16p11.2 deletion mouse model: a central role for gene-environment interactions

There are no current treatments for autism, despite its high prevalence. Deletions of chromosome 16p11.2 dramatically increase risk for autism, suggesting that mice with an equivalent genetic rearrangement may offer a valuable model for the testing of novel classes of therapeutic drug. 16p11.2 deletion (16p11.2 DEL) mice and wild-type controls were assessed using an ethological approach, with 24 h monitoring of activity and social interaction of groups of mice in a home-cage environment. The ability of the excitation/inhibition modulator N-acetyl cysteine (NAC) and the 5-HT1B/1D/1F receptor agonist eletriptan to normalise the behavioural deficits observed was tested. 16p11.2 DEL mice exhibited largely normal behaviours, but, following the stress of an injection, showed hyperlocomotion, reduced sociability, and a strong anxiolytic phenotype. The hyperactivity and reduced sociability, but not the suppressed anxiety, were effectively attenuated by both NAC and eletriptan. The data suggest that 16p11.2 DEL mice show an autism-relevant phenotype that becomes overt after an acute stressor, emphasising the importance of gene-environmental interactions in phenotypic analysis. Further, they add to an emerging view that NAC, or 5-HT1B/1D/1F receptor agonist treatment, may be a promising strategy for further investigation as a future treatment

Combining random forest and 2D correlation analysis to identify serum spectral signatures for neuro-oncology

Fourier transform infrared (FTIR) spectroscopy has long been established as an analytical tech- nique for the measurement of vibrational modes of molecular systems. More recently, FTIR has been used for the analysis of biofluids with the aim of becoming a tool to aid diagnosis. For the clinician, this represents a convenient, fast, non-subjective option for the study of biofluids and the diagnosis of disease states. The patient also benefits from this method, as the procedure for the collection of serum is much less invasive and stressful than traditional biopsy. This is especially true of patients in whom brain cancer is suspected. A brain biopsy carries a degree of morbidity and mortality and on occasion may even be inconclusive. We therefore present a method for the diagnosis of brain cancer from serum samples using FTIR and machine learning techniques. The scope of the study involved 433 patients from whom were collected 9 spectra each in the range 600-4000 cm−1. To begin development of the novel method, various pre-processing steps were investigated and ranked in terms of final accuracy of the diagnosis. Random Forest machine learning was utilised as a classifier to separate patients into cancer or non-cancer categories based upon the intensities of wavenumbers present in their spectra. Generalised 2D correlational analysis was then employed to further augment the machine learning, and also to establish spec- tral features important for the distinction between cancer and non-cancer serum samples. Using these methods, sensitivities of up to 92.8% and specificities of up to 91.5% were possible. Fur- thermore, ratiometrics were also investigated in order to establish any correlations present in the dataset. We show a rapid, computationally light, accurate, statistically robust methodology for the identification of spectral features present in differing disease states. With current advances in IR technology, such as the development of rapid discrete frequency collection, this approach is import to allow future clinical translation and enables IR to achieve its potential

Mtss1 promotes cell-cell junction assembly and stability through the small GTPase Rac1

Cell-cell junctions are an integral part of epithelia and are often disrupted in cancer cells during epithelial-to-mesenchymal transition (EMT), which is a main driver of metastatic spread. We show here that Metastasis suppressor-1 (Mtss1; Missing in Metastasis, MIM), a member of the IMD-family of proteins, inhibits cell-cell junction disassembly in wound healing or HGF-induced scatter assays by enhancing cell-cell junction strength. Mtss1 not only makes cells more resistant to cell-cell junction disassembly, but also accelerates the kinetics of adherens junction assembly. Mtss1 drives enhanced junction formation specifically by elevating Rac-GTP. Lastly, we show that Mtss1 depletion reduces recruitment of F-actin at cell-cell junctions. We thus propose that Mtss1 promotes Rac1 activation and actin recruitment driving junction maintenance. We suggest that the observed loss of Mtss1 in cancers may compromise junction stability and thus promote EMT and metastasis

Subanesthetic ketamine treatment promotes abnormal interactions between neural subsystems and alters the properties of functional brain networks

Acute treatment with subanesthetic ketamine, a non-competitive N-methyl-D-aspartic acid (NMDA) receptor antagonist, is widely utilized as a translational model for schizophrenia. However, how acute NMDA receptor blockade impacts on brain functioning at a systems level, to elicit translationally relevant symptomatology and behavioral deficits, has not yet been determined. Here, for the first time, we apply established and recently validated topological measures from network science to brain imaging data gained from ketamine-treated mice to elucidate how acute NMDA receptor blockade impacts on the properties of functional brain networks. We show that the effects of acute ketamine treatment on the global properties of these networks are divergent from those widely reported in schizophrenia. Where acute NMDA receptor blockade promotes hyperconnectivity in functional brain networks, pronounced dysconnectivity is found in schizophrenia. We also show that acute ketamine treatment increases the connectivity and importance of prefrontal and thalamic brain regions in brain networks, a finding also divergent to alterations seen in schizophrenia. In addition, we characterize how ketamine impacts on bipartite functional interactions between neural subsystems. A key feature includes the enhancement of prefrontal cortex (PFC)-neuromodulatory subsystem connectivity in ketamine-treated animals, a finding consistent with the known effects of ketamine on PFC neurotransmitter levels. Overall, our data suggest that, at a systems level, acute ketamine-induced alterations in brain network connectivity do not parallel those seen in chronic schizophrenia. Hence, the mechanisms through which acute ketamine treatment induces translationally relevant symptomatology may differ from those in chronic schizophrenia. Future effort should therefore be dedicated to resolve the conflicting observations between this putative translational model and schizophrenia

Intravenous sodium nitrite in acute ST-elevation myocardial infarction: a randomized controlled trial (NIAMI).

AIM: Despite prompt revascularization of acute myocardial infarction (AMI), substantial myocardial injury may occur, in part a consequence of ischaemia reperfusion injury (IRI). There has been considerable interest in therapies that may reduce IRI. In experimental models of AMI, sodium nitrite substantially reduces IRI. In this double-blind randomized placebo controlled parallel-group trial, we investigated the effects of sodium nitrite administered immediately prior to reperfusion in patients with acute ST-elevation myocardial infarction (STEMI). METHODS AND RESULTS: A total of 229 patients presenting with acute STEMI were randomized to receive either an i.v. infusion of 70 μmol sodium nitrite (n = 118) or matching placebo (n = 111) over 5 min immediately before primary percutaneous intervention (PPCI). Patients underwent cardiac magnetic resonance imaging (CMR) at 6-8 days and at 6 months and serial blood sampling was performed over 72 h for the measurement of plasma creatine kinase (CK) and Troponin I. Myocardial infarct size (extent of late gadolinium enhancement at 6-8 days by CMR-the primary endpoint) did not differ between nitrite and placebo groups after adjustment for area at risk, diabetes status, and centre (effect size -0.7% 95% CI: -2.2%, +0.7%; P = 0.34). There were no significant differences in any of the secondary endpoints, including plasma troponin I and CK area under the curve, left ventricular volumes (LV), and ejection fraction (EF) measured at 6-8 days and at 6 months and final infarct size (FIS) measured at 6 months. CONCLUSIONS: Sodium nitrite administered intravenously immediately prior to reperfusion in patients with acute STEMI does not reduce infarct size