Smaller, Closer, Dirtier: Diesel Backup Generators in California

Quantifies the threat to air quality and human health by backup generators, and examines air quality in Los Angeles, San Diego, Sacramento, and Fresno, with some analysis of San Francisco as well

The Ethical Review of Health Care Quality Improvement Initiatives: Findings From the Field

Based on surveys, examines the review mechanisms of quality improvement initiatives, including frequency; type, such as use of independent review boards; and consideration for ethical issues such as minimal risk and patient privacy and confidentiality

Philly Scientists: Blending Professional Development for In-School and Out-of-School Educators

In the fall of 2016, a team of Pennsylvania STEM educators received a generous grant from the National Science Foundation to provide STEM education to middle-school students in the Philadelphia Promise Zone. Entitled “Philly Scientists” and targeting both classroom teachers and out-of-school time (OST) staff, this grant combined biodiversity curriculum development, teacher training, career access activities, and modern technology to address the following three research questions: 1. What coherent set of experiences effectively support fourth, fifth and sixth grade students’ knowledge development (e.g., biodiversity content knowledge blended with science practices), motivation and career awareness about STEM-related work and jobs of today and the future? What are characteristics of their knowledge, motivation and career awareness competencies? 2. What professional development models and recognition systems can effectively engage teachers and OST providers in demonstrating Next Generation Science knowledge, pedagogy, and career awareness for fourth through sixth grade students? 3. How effective is the activity of Promise Zone fourth-sixth grade students as information providers and Urban Scientists interacting with scientist mentors towards increasing career awareness and understanding characteristics of STEM work? Our partners in this initiative were Drexel University, The Philadelphia Education Fund (PEF), The Academy of Natural Sciences of Drexel University (ANS), and the Pennsylvania Statewide Afterschool/Youth Development Network (PSAYDN). The project also engaged Research for Action (RFA) as the external evaluator. Staff from the Philadelphia Education Fund were primarily tasked with designing, implementing, and evaluating the professional development component of this initiative. The team recognized that in-school and OST teachers have different skill-sets, needs, and schedules - but that each group of educators also has a great deal to offer one another. For instance, we hypothesized that classroom teachers may have more experience connecting lessons to national standards and local educational initiatives; while OST providers may be more versed in working with families, with communities, and with blending social work and education. For these reasons, we were interested in both the logistical and pedagogical results and implications of our study. And while there is a great deal of research pertaining to STEM professional development for both in-school and out-of-school staff, we found little literature that referenced blending PD for both populations

Beta-Adrenergic Receptor Blockade By Propranolol Enhances Retention In A Multitrial Passive-Avoidance Procedure

The effect of beta -adrenergic receptor blockade on retention in a mildly aversive passive-avoidance procedure was investigated. Rats were given passive-avoidance training-1 trial per day for 4 days-and were administered saline, the centrally and peripherally acting beta -adrenergic blocker propranolol (4 or 10 mg/kg ip), or the peripherally acting P-adrenergic blocker sotalol (4 or 10 mg/kg ip) immediately or 2 hr after the Ist trial. Enhanced retention occurred only with the higher dose (10 mg/kg) of propranolol and only when it was administered immediately after training. The enhanced retention produced by propranolol is discussed in terms of opposing, regionally specific actions of beta -adrenergic receptor-mediated neural circuits on modulation of memory

Digitization of Information Resources in University Libraries in Nigeria: Challenges and Way Forward

Libraries, archives, museums, and other memory institutions digitize items to preserve fragile materials and create more access points for patrons. The traditional role of the library as simply a place of storage and preservation of books and other information materials which has changed overwhelmingly since the advent of information and communication technologies (ICTs) Academic libraries are duly bound to acquire, preserve and disseminate information from whatever source, hence there is the need for such sources of information to be kept preserved and made available in a more convenient and accessible format. This calls for digitization which is the process of converting analog (print, carvings, artifacts and so on) materials to digital/electronic format. Digitization of information resources in Nigerian University libraries is still at nascent stage. Digitization projects in academic libraries in Nigeria are confronted by a number of challenges. These are essentially not peculiar to academic libraries in developing countries and Nigeria in particular in the efforts of libraries to contribute data to the global information resource base. First and foremost is inadequate funding. Funding for the purchase and maintenance of modern and state-of–the–art digital equipment remains a major constraint while others follow. There is the need for external funds to be injected into the learning base for digitization. The challenge of funding unearths the need for capacity-building in the area of grant-writing and sourcing for fund. Also, there is the need of digitization project equipment and collaboration between libraries and donor agencies to procure these equipment, train staff and organize seminars, workshops and conferences on digitization sensitization network. It can therefore be recommended that Nigerian government and other stakeholders should make education of her citizen a famous priority which boils down to library as an arm of education. The leaders should also be checked on the issue of corruption in other to ensure that the assigned fund for digitization projects are faithfully used to letter

Aboveground Total and Green Biomass of Dryland Shrub Derived from Terrestrial Laser Scanning

Sagebrush (Artemisia tridentata), a dominant shrub species in the sagebrush-steppe ecosystem of the western US, is declining from its historical distribution due to feedbacks between climate and land use change, fire, and invasive species. Quantifying aboveground biomass of sagebrush is important for assessing carbon storage and monitoring the presence and distribution of this rapidly changing dryland ecosystem. Models of shrub canopy volume, derived from terrestrial laser scanning (TLS) point clouds, were used to accurately estimate aboveground sagebrush biomass. Ninety-one sagebrush plants were scanned and sampled across three study sites in the Great Basin, USA. Half of the plants were scanned and destructively sampled in the spring (n = 46), while the other half were scanned again in the fall before destructive sampling (n = 45). The latter set of sagebrush plants was scanned during both spring and fall to further test the ability of the TLS to quantify seasonal changes in green biomass. Sagebrush biomass was estimated using both a voxel and a 3-D convex hull approach applied to TLS point cloud data. The 3-D convex hull model estimated total and green biomass more accurately (R2 = 0.92 and R2 = 0.83, respectively) than the voxel-based method (R2 = 0.86 and R2 = 0.73, respectively). Seasonal differences in TLS-predicted green biomass were detected at two of the sites (p \u3c 0.001 and p = 0.029), elucidating the amount of ephemeral leaf loss in the face of summer drought. The methods presented herein are directly transferable to other dryland shrubs, and implementation of the convex hull model with similar sagebrush species is straightforward

Freshwater ecotoxicity assessment of pesticide use in crop production: Testing the influence of modeling choices

Pesticides help to control weeds, pests, and diseases contributing, therefore, to food availability. However, pesticide fractions not reaching the intended target may have adverse effects on the environment and the field ecosystems. Modeling pesticide emissions and the link with characterizing associated impacts is currently one of the main challenges in Life Cycle Assessment (LCA) of agricultural systems. To address this challenge, this study takes advantage of the latest recommendations for pesticide emission inventory and impact assessment and frames a suitable interface for those LCA stages and the related mass distribution of pesticide avoiding a temporal overlapping. Here, freshwater ecotoxicity impacts of the production of feed crops (maize, grass, winter wheat, spring barley, rapeseed, and peas) in Denmark were evaluated during a 3-year period, testing the effects of inventory modeling and the recent updates of the characterization method (USEtox). Potential freshwater ecotoxicity impacts were calculated in two functional units reflecting crop impact profiles per ha and extent of cultivation, respectively. Ecotoxicity impacts decreased over the period, mainly because of the reduction of insecticides use (e.g., cypermethrin). Three different emission modeling scenarios were tested; they differ on the underlining assumptions and data requirements. The main aspects influencing impact results are the interface between inventory estimates and impact assessment, and the consideration of intermedia processes, such as crop growth development and pesticide application method. Impact scores for AS2 were higher than RS and AS1, but the differences in the crops ranking was less apparent. On the other hand, the influence on the estimation of impacts for individual AIs was considerable and statistical differences were found in the impact results modeled in scenarios RS and AS2. Thereby indicating the effect of inventory models on ecotoxicity impact assessment.info:eu-repo/semantics/acceptedVersio

Specific in vivo deletion of B-cell subpopulations expressing human immunoglobulins by the B-cell superantigen protein L

Some pathogens have evolved to produce proteins, called B-cell superantigens, that can interact with human immunoglobulin variable regions, independently of the combining site, and activate B lymphocytes that express the target immunoglobulins. However, the in vivo consequences of these interactions on human B-cell numbers and function are largely unknown. Using transgenic mice expressing fully human immunoglobulins, we studied the consequences of in vivo exposure of protein L of Peptostreptococcus magnus with human immunoglobulins. In the mature pool of B cells, protein L exposure resulted in a specific reduction of splenic marginal-zone B cells and peritoneal B-1 cells. Splenic B cells exhibited a skewed light-chain repertoire consistent with the capacity of protein L to bind specific kappa gene products. Remarkably, these two B-cell subsets are implicated in innate B-cell immunity, allowing rapid clearance of pathogens. Thus, the present study reveals a novel mechanism that may be used by some infectious agents to subvert a first line of the host's immune defense

Studies of a Lacustrine-Volcanic Mars Analog Field Site with Mars-2020-like Instruments

On the upcoming Mars‐2020 rover two remote sensing instruments, Mastcam‐Z and SuperCam, and two microscopic proximity science instruments, SHERLOC and PIXL, will collect compositional (mineralogy, chemistry, and organics) data essential for paleoenvironmental reconstruction. The synergies between and limitations of these instruments were evaluated via study of a Mars analog field site in the Mojave Desert, using instruments approximating the data that will be returned by Mars‐2020. A ground truth dataset was generated for comparison to validate the results. The site consists of a succession of clay‐rich mudstones of lacustrine origin, interbedded tuffs, a carbonate‐silica travertine deposit, and gypsiferous mudstone strata. The major geological units were mapped successfully using simulated Mars‐2020 data. Simulated Mastcam‐Z data identified unit boundaries and Fe‐bearing weathering products. Simulated SuperCam passive shortwave infrared and green Raman data were essential in identifying major mineralogical composition and changes in lacustrine facies at distance; this was possible even with spectrally downsampled passive IR data. LIBS and simulated PIXL data discriminated and mapped major element chemistry. Simulated PIXL revealed mm‐scale zones enriched in zirconium, of interest for age dating. SHERLOC‐like data mapped sulfate and carbonate at sub‐mm scale; silicates were identified with increased laser pulses/spot or by averaging of hundreds of spectra. Fluorescence scans detected and mapped varied classes of organics in all samples, characterized further with follow‐on spatially targeted deep‐UV Raman spectra. Development of dedicated organics spectral libraries is needed to aid interpretation. Given these observations, the important units in the outcrop would be sampled and cached for sample return