666 research outputs found

    Supersymmetric W-algebras

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    We develop a general theory of WW-algebras in the context of supersymmetric vertex algebras. We describe the structure of WW-algebras associated with odd nilpotent elements of Lie superalgebras in terms of their free generating sets. As an application, we produce explicit free generators of the WW-algebra associated with the odd principal nilpotent element of the Lie superalgebra gl(n+1n).\mathfrak{gl}(n+1|n).Comment: 24page

    Forest Illegalities and Corruption in Cameroons Forest Sector. A Theoretical and Literature Review of Corruption with Regards to Forest Illegalities

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    In the past decades illegal logging and related forest, activities have increasingly been a global concern, especially in forest products producer countries. This phenomenon has high rates in the Cameroon forest sector caused by poverty, poor Law enforcement, lack of transparency, conflicts, state ownership of majority of forested land, and in addition to these, its high rates of corruption. International NGOs such as the world bank, Department for International Development (DFID), and other unions such as EU have stepped in by providing financial aid and designing programs such as FLEGT and REDD+ to curtail these malpractices in Cameroon forest sector but still, it has remained a cause for concern. The objective of this paper is to find out why corruption has been an increasing phenomenon in the Cameroons forestry sector, and what has been the driving force behind this increase in corruption. In this paper, I made use of existing literature and also a corruption theoretical model by (Andvig & Moene, 1990) to explain this aspect of Corruption focussing on the incentive mechanisms in the model. It is established that poor law enforcement, lack of transparency, lack of information by the majority of forest actors, and poor governments have provided an avenue for high incentives to the corrupt actors especially the forestry officials and other people with Affluence. It is realized that corruption in this sector can be combated if there is strong law enforcement (severe Sanctions), and improvement in governance will go a long way to reduce the incentives of corrupt actors and consequently reduces the incidence of corruption

    Distinct phase-amplitude couplings distinguish cognitive processes in human attention

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    Abstract Spatial attention is the cognitive function that coordinates the selection of visual stimuli with appropriate behavioral responses. Recent studies have reported that phase-amplitude coupling (PAC) of low and high frequencies covaries with spatial attention, but differ on the direction of covariation and the frequency ranges involved. We hypothesized that distinct phase-amplitude frequency pairs have differentiable contributions during tasks that manipulate spatial attention. We investigated this hypothesis with electrocorticography (ECoG) recordings from participants who engaged in a cued spatial attention task. To understand the contribution of PAC to spatial attention we classified cortical sites by their relationship to spatial variables or behavioral performance. Local neural activity in spatial sites was sensitive to spatial variables in the task, while local neural activity in behavioral sites correlated with reaction time. We found two PAC frequency clusters that covaried with different aspects of the task. During a period of cued attention, delta-phase/high-gamma (DH) PAC was sensitive to cue direction in spatial sites. In contrast, theta-alpha-phase/beta-low-gamma-amplitude (TABL) PAC robustly correlated with future reaction times in behavioral sites. Finally, we investigated the origins of TABL PAC and found it corresponded to behaviorally relevant, sharp waveforms, which were also coupled to a low frequency rhythm. We conclude that TABL and DH PAC correspond to distinct mechanisms during spatial attention tasks and that sharp waveforms are elements of a coupled dynamical process

    Glycemic control in insulin and non-insulin dependent diabetic patients with ST elevation predicts time to presentation

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    Worldwide, the annual number of people diagnosed with diabetes continues to increase. Classically, Diabetes Mellitus (DM) has been associated with silent or atypical initial symptoms and increased time to presentation in patients presenting with ST elevation myocardial infarction (STEMI) compared to non-DM patients. It is less clear whether the type of treatment or the adequacy of glycemic control impacts the time to presentation and type of symptoms. Therefore, we sought to evaluate the impact of poor glycemic control on these outcomes as measured by hemoglobin A1c

    Applications for Gradient Metal Alloys Fabricated Using Additive Manufacturing

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    Recently, additive manufacturing (AM) techniques have been developed that may shift the paradigm of traditional metal production by allowing complex net-shaped hardware to be built up layer-by-layer, rather than being machined from a billet. The AM process is ubiquitous with polymers due to their low melting temperatures, fast curing, and controllable viscosity, and 3D printers are widely available as commercial or consumer products. 3D printing with metals is inherently more complicated than with polymers due to their higher melting temperatures and reactivity with air, particularly when heated or molten. The process generally requires a high-power laser or other focused heat source, like an electron beam, for precise melting and deposition. Several promising metal AM techniques have been developed, including laser deposition (also called laser engineered net shaping or LENS and laser deposition technology (LDT)), direct metal laser sintering (DMLS), and electron beam free-form (EBF). These machines typically use powders or wire feedstock that are melted and deposited using a laser or electron beam. Complex net-shape parts have been widely demonstrated using these (and other) AM techniques and the process appears to be a promising alternative to machining in some cases. Rather than simply competing with traditional machining for cost and time savings, the true advantage of AM involves the fabrication of hardware that cannot be produced using other techniques. This could include parts with "blind" features (like foams or trusses), parts that are difficult to machine conventionally, or parts made from materials that do not exist in bulk forms. In this work, the inventors identify that several AM techniques can be used to develop metal parts that change composition from one location in the part to another, allowing for complete control over the mechanical or physical properties. This changes the paradigm for conventional metal fabrication, which relies on an assortment of "post-processing" methods to locally alter properties (such as coating, heat treating, work hardening, shot peening, etching, anodizing, among others). Building the final part in an additive process allows for the development of an entirely new class of metals, so-called "functionally graded metals" or "gradient alloys." By carefully blending feedstock materials with different properties in an AM process, hardware can be developed with properties that cannot be obtained using other techniques but with the added benefit of the net-shaped fabrication that AM allows

    Spacecraft Charging Test Considerations for Composite Materials

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    Composite materials present a growing challenge for spacecraft charging assessments. We review some recent lessons learned for charging tests of composite materials using both parallel-plate and electron beam test geometries. We also discuss examples of materials that exhibit significant variations between samples, despite them all having the same trade name

    Prevalence and Factors Associated With Mental Health Symptoms in Adults Undergoing Covid-19 Testing

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    BACKGROUND AND OBJECTIVE: Understanding the mental health impact of the COVID-19 pandemic on persons receiving COVID-19 testing will help guide mental health interventions. We aimed to determine the association between sociodemographic factors and mental health symptoms at 8 weeks (baseline) after a COVID-19 test, and compare prevalence of mental health symptoms at baseline to those at 16-week follow-up. MATERIALS AND METHODS: Prospective cohort study of adults who received outpatient COVID-19 testing at primary care clinics. Logistic regression analyses were used to assess the association between sociodemographic characteristics and COVID-19 test results with mental health symptoms. Mental health symptoms reported at baseline were compared to symptoms at 16 weeks follow-up using conditional logistic regression analyses. RESULTS: At baseline, a total of 124 (47.51%) participants reported at least mild depressive symptoms, 110 (42.15%) participants endorsed at least mild anxiety symptoms, and 94 participants (35.21%) endorsed hazardous use of alcohol. Females compared to males were at increased risk of at least mild depressive symptoms at baseline (Adjusted Odds Ratio (AOR): 2.08; 95% CI: 1.14-3.79). The odds of at least mild depressive symptoms was significantly lower among those residing in zip codes within the highest quartile compared to lowest quartile of household income (AOR: 0.37; 95% CI: 0.17-0.81). Also, non-Hispanic Whites had significantly higher odds of reporting hazardous alcohol use compared to non-Whites at baseline (AOR: 1.94; 95% CI: 1.05-3.57). The prevalence of mental health symptoms remained elevated after 16 weeks. CONCLUSION AND RELEVANCE: We found a high burden of symptoms of depression and anxiety as well as hazardous alcohol use in a diverse population who received testing for COVID-19 in the primary care setting. Primary care providers need to remain vigilant in screening for symptoms of mental health disorders in patients tested for COVID-19 well after initial testing

    An open-hardware platform for optogenetics and photobiology

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    In optogenetics, researchers use light and genetically encoded photoreceptors to control biological processes with unmatched precision. However, outside of neuroscience, the impact of optogenetics has been limited by a lack of user-friendly, flexible, accessible hardware. Here, we engineer the Light Plate Apparatus (LPA), a device that can deliver two independent 310 to 1550 nm light signals to each well of a 24-well plate with intensity control over three orders of magnitude and millisecond resolution. Signals are programmed using an intuitive web tool named Iris. All components can be purchased for under $400 and the device can be assembled and calibrated by a non-expert in one day. We use the LPA to precisely control gene expression from blue, green, and red light responsive optogenetic tools in bacteria, yeast, and mammalian cells and simplify the entrainment of cyanobacterial circadian rhythm. The LPA dramatically reduces the entry barrier to optogenetics and photobiology experiments
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