Level the Playing Field: Advocating for the removal of Major League Baseball’s prohibition on the admissibility of Statcast-generated sabermetrics as evidence in salary arbitration hearings

This paper argues that Major League Baseball should amend its Collective Bargaining Agreement (CBA) to remove the outright ban on certain types of statistical evidence to help prove a player’s value. First, the paper briefly describes the history of the compensation system in the MLB and its evolution. Then, it details how final offer arbitration became the default mechanism for resolving compensation disputes between teams and players. The paper subsequently focuses on the Collective Bargaining Agreement’s carve-out of statistical evidence and notes the similarities and differences between Major League Baseball’s evidentiary standards governing salary arbitration hearings and the Federal Rules of Evidence (“FED. R. EVID.”). Finally, the paper argues why this rule should be changed in light of the fact that Statcast data meet the federal standard for admissibility per the Federal Rules of Evidence, which will result in financial gain for players going through the salary arbitration process

An Unparalleled Sexual Dimorphism of Sperm Whale Encephalization

The sperm whale Physeter macrocephalus (Linnaeus, 1758) is the largest toothed whales and possesses the highest absolute values for brain weight on the planet (together with the killer whale Orcinus orca). Former calculations of the encephalization quotient (EQ), which is used to compare brain size of different mammalian species, showed that the sperm whale brain is smaller than expected for its body mass. However, the data reported in the literature and formerly used to calculate the sperm whale EQ suffered from a potential bias due to the tendency to measure mostly larger males of this extreme sexually dimorphic species. Accordingly, we found that the brains of female sperm whales are close to the absolute weight range of the males, but, given the much lower body mass of females, their EQ results more than double of what reported before for the whole species, and is thus nearly into the primate range (female EQ = 1.28, male EQ = 0.56). This sexual dimorphism is unique among mammals. Female sperm whales live in large families in which social interactions and inter-individual communication are essential, while adult males live solitarily. Thus the particular sex-specific behavior of SWs may have led to a maternally-driven social evolution, and eventually contributed to achieve female EQ values (but not male EQs) among the highest ever calculated for mammals with respect to their large body mass

Mapping Open Water Bodeis with Optical Remote Sensing

There is interest in mapping open water bodies using remote sensing data. Coverage and persistence of open water is currently a poorly measured variable due to its spatial and temporal variability across landscapes, especially in remote areas. The presence and persistence of open water is one of the primary indicators of conditions suitable for mosquito breeding habitats. Predicting the risk of mosquito caused disease outbreaks is a required step towards their control and eradication. Satellite observations can provide needed data to support agency decisions for deployment of preventative measures and control resources. This study, which will try to map open water bodies with satellite data, will be carried out using a decision tree based open source software algorithm called Random Forests to find correlations between the remote sensing data and open water bodies and their color properties. Software has been written in R to ingest data from the Landsat 7 satellite, convert it into an R data frame, input it into the Random Forest Software algorithm and output a classification of open water bodies and their color properties. Knowledge of the location and color properties of open water bodies and their dynamic nature can be used as early warning indicators for mosquito caused disease outbreaks

Informing Carbon in Arctic Reservoirs Vulnerability Experiment Flight Schedule based upon Soil and Vegetation Freeze and Thaw Event Variation along the Alaska Ecological Transect

Established in the 1990s, the Alaska Ecological Transect (ALECTRA) is composed of a series of ground stations extending from the Franklin Bluff on Alaska’s North Slope to the Kenai Peninsula, south of Anchorage. At each station, sets of thermistors are deployed to monitor vegetation tissue temperature, air temperature, and soil profile temperatures. Also sensors are deployed for monitoring sap flow in individual trees. The stations are automated, with data loggers recording this data approximately every two hours. Dates marking the spring thaw and fall freeze transitions in soil and vegetation tissues from sites in Coldfoot, Dietrich Valley, and Bonanza Creek were identified and analyzed to inform the scheduling of the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) Mission’s spring and fall flights. Set to start in March 2012, the De Havilland DHC-6 Twin Otter aircraft will fly over the above mentioned sites, among others, using remote sensing technology to monitor soil moisture, freeze/thaw state, and surface temperatures as well as total atmospheric columns of carbon dioxide, methane, and carbon monoxide

Using Remote Sensing Data to Predict the Spread of Mosquito Borne Disease

There is interest in how environmental variables derived from satellite data such as temperature, vegetation cover, and precipitation correlate to vector borne disease occurrence such as malaria and dengue fever. This study will be carried out using a decision tree based open source software called Random Forests to find correlations between the remote sensing variables and mosquito abundance. Software will be written in C# to take large amounts of data from the NASA satellite database and automatically format it for the Random Forest Software input. Correlations found, using Random Forests, between disease incidence and the variables can be used as early warning indicators for disease outbreaks

Utilization of Ancillary Data Sets for SMAP Algorithm Development and Product Generation

Algorithms being developed for the Soil Moisture Active Passive (SMAP) mission require a variety of both static and ancillary data. The selection of the most appropriate source for each ancillary data parameter is driven by a number of considerations, including accuracy, latency, availability, and consistency across all SMAP products and with SMOS (Soil Moisture Ocean Salinity). It is anticipated that initial selection of all ancillary datasets, which are needed for ongoing algorithm development activities on the SMAP algorithm testbed at JPL, will be completed within the year. These datasets will be updated as new or improved sources become available, and all selections and changes will be documented for the benefit of the user community. Wise choices in ancillary data will help to enable SMAP to provide new global measurements of soil moisture and freeze/thaw state at the targeted accuracy necessary to tackle hydrologically-relevant societal issues

Methane emissions from western Siberian wetlands: heterogeneity and sensitivity to climate change

The prediction of methane emissions from high-latitude wetlands is important given concerns about their sensitivity to a warming climate. As a basis for the prediction of wetland methane emissions at regional scales, we coupled the variable infiltration capacity macroscale hydrological model (VIC) with the biosphere–energy-transfer–hydrology terrestrial ecosystem model (BETHY) and a wetland methane emissions model to make large-scale estimates of methane emissions as a function of soil temperature, water table depth, and net primary productivity (NPP), with a parameterization of the sub-grid heterogeneity of the water table depth based on TOPMODEL. We simulated the methane emissions from a 100 km × 100 km region of western Siberia surrounding the Bakchar Bog, for a retrospective baseline period of 1980–1999 and have evaluated their sensitivity to increases in temperature of 0–5 °C and increases in precipitation of 0–15%. The interactions of temperature and precipitation, through their effects on the water table depth, played an important role in determining methane emissions from these wetlands. The balance between these effects varied spatially, and their net effect depended in part on sub-grid topographic heterogeneity. Higher temperatures alone increased methane production in saturated areas, but caused those saturated areas to shrink in extent, resulting in a net reduction in methane emissions. Higher precipitation alone raised water tables and expanded the saturated area, resulting in a net increase in methane emissions. Combining a temperature increase of 3 °C and an increase of 10% in precipitation to represent climate conditions that may pertain in western Siberia at the end of this century resulted in roughly a doubling in annual emissions

Erdheim-Chester disease : from palliative care to targeted treatment

Erdheim-Chester disease (ECD) is a life-threatening multi-systemic non-Langerhans histiocytosis with cardiovascular complications as the leading cause of death. ECD affects the kidneys in up to 30% of cases, with fibrotic tissue deposition in the perirenal fat and renal hilum. Diagnosis is usually based on histological analysis of the pathologic tissue, which typically shows xanthogranulomatous infiltrates of foamy CD68+/CD1a-histiocytes surrounded by fibrosis. A consistent percentage of patients affected by ECD develop renal failure and hypertension as a consequence of renal artery stenosis and hydronephrosis. These conditions have been generally treated with the placement of stents and nephrostomies that frequently led to disappointing outcomes. Before the introduction of interferon-alpha (IFN\u3b1) treatment, the mortality rate was as high as 57% in the long term. Recent studies have granted new insights into the pathogenesis of ECD, which seems to bear a dual component of clonal and inflammatory disease. These advances led to use specific therapies targeting either the oncogenes (BRAFV600E) or the effectors of the immune response implicated in ECD (IL-1, TNF\u3b1). Drugs such as anakinra (recombinant human IL-1 receptor antagonist), infliximab (monoclonal antibody against TNF\u3b1) and vemurafenib (inhibitor of mutant BRAF) showed promising results in small single-centre series. Although larger trials will be needed to address the impact of these drugs on ECD prognosis and to select the most effective treatment, targeted therapies hold the premises to drastically change the outcome of this condition. \ua9 2014 The Author

Anti-Phospholipase A2 Receptor Antibodies in Membranous Nephropathy : from Bench to the Patient

Membranous Nephropathy (MN) is the leading cause of nephrotic syndrome in adults. Primary or idiopathic Membranous Nephropathy (iMN) has been considered as an organ-specific autoimmune disease with an unknown aetiology. By contrast, secondary membranous nephropathy has been described as the expression of a systemic autoimmune response to malignancy or bacterial/viral infections. In the majority of iMN cases, glomerular lesions are determined by autoantibodies against a podocyte membrane protein, the M-type of phospholipase A2 receptor 1 (PLA2R1). Several studies have suggested that the detection of anti-PLA2R1 in patients sera with nephrotic syndrome may be pathognomonic of iMN, thus obviating the need for a diagnostic renal biopsy and an extensive workup for underlying causes. Many authors inferred that the measurement of anti-PLA2R1 may change the diagnostic algorithm in patients with nephrotic syndrome and guide treatment decisions in patients with iMN. Measurement of anti-PLA2R1 antibodies is now possible through an easy to use, commercially available assay. The aim of this review is to describe the clinical relevance of anti-PLA2R1 assessment in patients with MN, and to extensively discuss the biotechnological methods available to measure them