Using Nonprofits as For-Profit Student Training Grounds

Students can develop important management skills by requiring them to work in non-profits as a component of their curriculum. What they can learn will be information usually not found in textbooks because this type of organization focuses on a mission that blends the desire for long term success with the desire to serve special groups of people in need. The fascinating mix of social consciousness with any of a variety of business models creates dynamic environments that produce unusual situations not found in for-profit businesses. Exposure to these situations and occurrences can teach students management responsiveness, adaptability, and critical analysis techniques within a constrained social framework

Automated Magnetic Field Scanning System

One of Jefferson Laboratory’s research areas is in Superconducting Radio Frequency (SRF) science and technology. SRF cavities are tested in the Vertical Testing Area (VTA) at Jefferson Laboratory, within a series of large cylindrical dewars. The measured quality factor (Q factor) of the SRF cavity is directly influenced by any existing magnetic field. Because the VTA previously housed a cyclotron, all the rebars within the building have residual magnetic fields emanating from them. This magnetic field effect of the building renders the measurements of Q factor on the devices inaccurate and the testing data unreliable. A magnetic field scanning system must be employed to accurately map the magnetic field within the testing dewar so that an existing set of current-carrying coils installed around the dewar can be used properly for cancellation of the residual magnetic fields. This process will ensure the initial testing conditions are free of any unwanted magnetic fields that could cause unreliable testing data. The proposed system will scan the residual magnetic field inside vertical dewars of varying sizes (16”- 34” diameter by 72”- 132” depth) in three dimensions and log data for later use, as well as display a visual mapping of the data to the operator through LabView. A sensor with a sensitivity of at least 0.1 milligauss will be attached to the bottom of a long pole that will be lowered into the dewar. Translation in the z direction, on the dewar’s central axis, will be achieved by using a pair of stepper motors controlling a rack and pinion set up on the center pole. To achieve incremental mapping in the x-y plane, an arm will be attached to the bottom of the pole that will house additional sensors. The platform holding the stepper motors will turn on a dial with degree measurements, allowing for rotational movement of the entire center pole and arm. By calculating the x-y values for each sensor on the arm at that set degree amount, mapping of set increments in the x-y plane can be achieved.https://scholarscompass.vcu.edu/capstone/1036/thumbnail.jp

Legume dreams: the contested futures of sustainable plant-based food systems in Europe

With the intensification of agriculture, the simplification of crop rotations, and the rise in demand for meat, dairy and cereal products, legume production and consumption are at an historic low in Europe. But as the environmental consequences of agriculture (biodiversity loss, high greenhouse gas emissions, water pollution) and the health outcomes of modern diets (heart disease, cancer, diabetes, obesity) become better known, so great and varied hopes are being expressed about the future role of legumes in the food system. This paper catalogues and scrutinises these hopes, mapping the promissory narratives now orbiting around legumes. It identifies six food futures, each of which is made possible through the greater use of legumes in various production, processing, marketing and consumption contexts. These promissory narratives are theorised as contrasting responses to three major areas of contestation in the food systems literature. Namely i) the sustainability of livestock management, ii) the role of technology in different visions of the ‘good diet’, and iii) the merits of different models for how to make agricultural management more sustainable. It identifies the promiscuity of legumes – in terms of the range of food futures they permit – before distilling three points of consensus amongst advocates of the potential of legumes. These points of consensus relate to their nitrogen fixing capacity, their high protein content, and their long-standing historical role in the context of European food and farming. This map of legume dreams serves to guide deliberations amongst researchers, policymakers and industry stakeholders about the futures of plant-based food in Europe

Tangle-bearing neurons survive despite disruption of membrane integrity in a mouse model of tauopathy

Neurofibrillary tangles (NFTs) are associated with neuronal loss and correlate with cognitive impairment in Alzheimer disease, but how NFTs relate to neuronal death is not clear. We studied cell death in Tg4510 mice that reversibly express P301L mutant human tau and accumulate NFTs using in vivo multiphoton imaging of neurofibrillary pathology, propidium iodide (PI) incorporation into cells, caspase activation and DNA labeling. We first observed that in live mice a minority of neurons was labeled with the caspase probe or with PI fluorescence. These markers of cell stress were localized in the same cells and appeared to be specifically within NFT-bearing neurons. Contrary to expectations, the PI-stained neurons did not die over a day of observation; the presence of Hoechst-positive nuclei in them on the subsequent day indicated that the NFT-associated membrane disruption suggested by PI staining and caspase activation do not lead to acute death of neurons in this tauopathy model. This unique combination of in vivo multiphoton imaging with markers of cell death and pathologic alteration is a powerful tool for investigating neuronal damage associated with neurofibrillary pathology

Improvements to deep convolutional neural networks for LVCSR

Deep Convolutional Neural Networks (CNNs) are more powerful than Deep Neural Networks (DNN), as they are able to better reduce spectral variation in the input signal. This has also been confirmed experimentally, with CNNs showing improvements in word error rate (WER) between 4-12% relative compared to DNNs across a variety of LVCSR tasks. In this paper, we describe different methods to further improve CNN performance. First, we conduct a deep analysis comparing limited weight sharing and full weight sharing with state-of-the-art features. Second, we apply various pooling strategies that have shown improvements in computer vision to an LVCSR speech task. Third, we introduce a method to effectively incorporate speaker adaptation, namely fMLLR, into log-mel features. Fourth, we introduce an effective strategy to use dropout during Hessian-free sequence training. We find that with these improvements, particularly with fMLLR and dropout, we are able to achieve an additional 2-3% relative improvement in WER on a 50-hour Broadcast News task over our previous best CNN baseline. On a larger 400-hour BN task, we find an additional 4-5% relative improvement over our previous best CNN baseline.Comment: 6 pages, 1 figur

Circuit-Difference Matroids

One characterization of binary matroids is that the symmetric difference of every pair of intersecting circuits is a disjoint union of circuits. This paper considers circuit-difference matroids, that is, those matroids in which the symmetric difference of every pair of intersecting circuits is a single circuit. Our main result shows that a connected regular matroid is circuit-difference if and only if it contains no pair of skew circuits. Using a result of Pfeil, this enables us to explicitly determine all regular circuit-difference matroids. The class of circuit-difference matroids is not closed under minors, but it is closed under series minors. We characterize the infinitely many excluded series minors for the class.Comment: 11 page

Immaterial animals and financialized forests: Asset manager capitalism, ESG integration and the politics of livestock

This article uses interviews with responsible investment professionals to examine the extent to which institutional equity investors, and specifically ‘universal owners’ with highly diversified shareholdings, engage with public issues associated with livestock agriculture. As share ownership becomes increasingly concentrated, and the market for Environmental, Social and Governance investment products grows, these investors are increasingly involved in governing the activities of publicly traded corporations (including leading agribusinesses). This paper brings together political economy and marketization studies research to explore how universal owners become concerned about particular environmental and ethical problems, why they overlook other public concerns, and in what ways their selective engagement with ethico-political issues might be altering the content of food politics. Comparing universal owners’ engagements with farm animal welfare issues and with tropical deforestation within animal feed supply chains, we argue that these institutions engage with tropical deforestation because it presents a financially material risk to firms across multiple industries. By contrast, the specificity of farm animal welfare issues to agribusinesses means that they do not pose a material risk to the overall performance of universal owners’ highly diversified asset portfolios. Efforts to concern universal owners about livestock agriculture's social, environmental and health impacts thus generate a food politics which focuses primarily on risks to global economic systems and renders animals themselves distinctly immaterial

Prevalence of pulmonary arterial hypertension in severe chronic obstructive pulmonary disease patients attending tertiary care centre Ernakulam

Background: Chronic obstructive pulmonary disease (COPD) is an irreversible bronchial inflammation of lung airways and parenchyma. Various factors play an important role in occurrence and severity of pulmonary arterial hypertension (PAH), a common in severe COPD. The objective of the study is to know the proportion of PAH in patients with severe COPD and to find the association between various factors.Methods: 180 cases of severe COPD patients admitted in Government Medical College Ernakulum from January 2019-December 2019, were enrolled into this cross-sectional descriptive study. Subject’s history, clinical examination, anthropometric measurements, vitals, Arterial Blood Gas (ABG) analysis were done.Results: Among 180 subjects, 148 (82.22%) had mild PAH, 22 (12.22%) subjects had moderate PAH and 10 (5.56%) had severe PAH. Use of accessory muscle was the most elicited sign in the study with 174 (96.67%). 170 (94.44%) had cough and 169 (93.89%) had breathlessness which were the most reported symptoms. Demographic variables and clinical features had no significant mean pulmonary artery pressure (mPAP) association. Grade 3 PAH groups were elder than others, which was statistically significant (p<0.047). FEV1, Oxygen Saturation and ejection fraction were lowest in grade 3 PAH subjects. Respiratory rate, hemoglobin, PCV, tricuspid velocity, PaCO2 were highest in grade 3 PAH subjects being statistically significant (p<0.0001).Conclusions: In our study, majority of severe COPD patients had mild PAH.  There was an independent correlation between respiratory rate, hemoglobin, PCV, tricuspid regurgitant velocity and PaCO2 with severity of PAH