8,611 research outputs found
Assessing County-Level Water Footprints of Different Cellulosic- Biofuel Feedstock Pathways
While agricultural residue is considered as a near-term feedstock option for cellulosic biofuels, its sustainability must be evaluated by taking water into account. This study aims to analyze the county-level water footprint for four biofuel pathways in the United States, including bioethanol generated from corn grain, stover, wheat straw, and biodiesel from soybean. The county-level blue water footprint of ethanol from corn grain, stover, and wheat straw shows extremely wide variances with a national average of 31, 132, and 139 L of water per liter biofuel (Lw/Lbf), and standard deviation of 133, 323, and 297 Lw/Lbf, respectively. Soybean biodiesel production results in a blue water footprint of 313 Lw/Lbf on the national average with standard deviation of 894 Lw/Lbf. All biofuels show a greater green water footprint than the blue one. This work elucidates how diverse spatial resolutions affect biofuel water footprints, which can provide detailed insights into biofuels’ implications on local water sustainability
The water footprint of biofuel produced from forest wood residue via a mixed alcohol gasification process
Forest residue has been proposed as a feasible candidate for cellulosic biofuels. However, the number of studies assessing its water use remains limited. This work aims to analyze the impacts of forest-based biofuel on water resources and quality by using a water footprint approach. A method established here is tailored to the production system, which includes softwood, hardwood, and short-rotation woody crops. The method is then applied to selected areas in the southeastern region of the United States to quantify the county-level water footprint of the biofuel produced via a mixed alcohol gasification process, under several logistic systems, and at various refinery scales. The results indicate that the blue water sourced from surface or groundwater is minimal, at 2.4 liters per liter of biofuel (l/l). The regional-average green water (rainfall) footprint falls between 400 and 443 l/l. The biofuel pathway appears to have a low nitrogen grey water footprint averaging 25 l/l at the regional level, indicating minimal impacts on water quality. Feedstock mix plays a key role in determining the magnitude and the spatial distribution of the water footprint in these regions. Compared with other potential feedstock, forest wood residue shows promise with its low blue and grey water footprint
A Continued Fraction Resummation Form of Bath Relaxation Effect in the Spin-Boson Model
In the spin-boson model, a continued fraction form is proposed to
systematically resum high-order quantum kinetic expansion (QKE) rate kernels,
accounting for the bath relaxation effect beyond the second-order perturbation.
In particular, the analytical expression of the sixth-order QKE rate kernel is
derived for resummation. With higher-order correction terms systematically
extracted from higher-order rate kernels, the resummed quantum kinetic
expansion (RQKE) approach in the continued fraction form extends the Pade
approximation and can fully recover the exact quantum dynamics as the expansion
order increases.Comment: accepted by J. Chem. Phy
Performance of p16INK4a ELISA as a primary cervical cancer screening test among a large cohort of HIV-infected women in western Kenya: a 2-year cross-sectional study.
ObjectiveA biomarker with increased specificity for cervical dysplasia compared with human papillomavirus (HPV) testing would be an attractive option for cervical cancer screening among HIV-infected women in resource-limited settings. p16(INK4a) has been explored as a biomarker for screening in general populations.DesignA 2-year cross-sectional study.Setting2 large HIV primary care clinics in western Kenya.Participants1054 HIV-infected women in western Kenya undergoing cervical cancer screening as part of routine HIV care from October 2010 to November 2012.InterventionsParticipants underwent p16(INK4a) specimen collection and colposcopy. Lesions with unsatisfactory colposcopy or suspicious for cervical intraepithelial neoplasia 2+ (CIN2+; including CIN2/3 or invasive cervical cancer) were biopsied. Following biopsy, disease status was determined by histopathological diagnosis.Primary and secondary outcome measuresWe measured the sensitivity, specificity and predictive values of p16(INK4a) ELISA for CIN2+ detection among HIV-infected women and compared them to the test characteristics of current screening methods used in general as well as HIV-infected populations.ResultsAverage p16(INK4a) concentration in cervical samples was 37.4 U/mL. After colposcopically directed biopsy, 127 (12%) women were determined to have CIN2+. Receiver operating characteristic analysis showed an area under the curve of 0.664 for p16(INK4a) to detect biopsy-proven CIN2+. At a p16(INK4a) cut-off level of 9 U/mL, sensitivity, specificity, positive and negative predictive values were 89.0%, 22.9%, 13.6% and 93.8%, respectively. The overall p16(INK4a) positivity at a cut-off level of 9 U/mL was 828 (78.6%) women. There were 325 (30.8%) cases of correct p16(INK4a) prediction to detect or rule out CIN2+, and 729 (69.2%) cases of incorrect p16(INK4a) prediction.Conclusionsp16(INK4a) ELISA did not perform well as a screening test for CIN2+ detection among HIV-infected women due to low specificity. Our study contributes to the ongoing search for a more specific alternative to HPV testing for CIN2+ detection
Life-cycle Water Quantity and Water Quality Implications of Biofuels
Water consumption and water quality continue to be key factors affecting environmental sustainability in biofuel production. This review covers the findings from biofuel water analyses published over the past 2 years to underscore the progress made, and to highlight advancements in understanding the interactions among increased production and water demand, water resource availability, and potential changes in water quality. We focus on two key areas: water footprint assessment and watershed modeling. Results revealed that miscanthus-, switchgrass-, and forest wood-based biofuels all have promising blue and grey water footprints. Alternative water resources have been explored for algae production, and challenges remain. A most noticeable improvement in the analysis of life-cycle water consumption is the adoption of geospatial analysis and watershed modeling to generate a spatially explicit water footprint at a finer scale (e.g., multi-state region, state, and county scales) to address the impacts of land use change and climate on the water footprint in a landscape with a mixed biofuel feedstock
Understanding Online Brand Communities: Netnographic Study of Apple iPhone Consumers
This study extends the concept of brand communities. The netnography approach has been applied to two online brand communities, both central to Apple iPhone consumers. This study reveals two cultural manifestations with their own passions and communal norms not detected by previous research. This study, thus, enriches the conceptual understanding of brand communities. It also offers contribution toward understanding consumers of high technology brands, an area where few studies have been conducted to date
Efficient Energy Transfer in Light-Harvesting Systems, II: Quantum-Classical Comparison, Flux Network, and Robustness Analysis
Following the calculation of optimal energy transfer in thermal environment
in our first paper (Wu et al., New J. Phys., 2010, 12, 105012), full quantum
dynamics and leading-order `classical' hopping kinetics are compared in the
seven-site Fenna-Matthews-Olson (FMO) protein complex. The difference between
these two dynamic descriptions is due to higher-order quantum corrections. Two
thermal bath models, classical white noise (the Haken-Strobl-Reineker model)
and quantum Debye model, are considered. In the seven-site FMO model, we
observe that higher-order corrections lead to negligible changes in the
trapping time or in energy transfer efficiency around the optimal and
physiological conditions (2% in the HSR model and 0.1% in the quantum Debye
model for the initial site at BChl 1). However, using the concept of integrated
flux, we can identify significant differences in branching probabilities of the
energy transfer network between hopping kinetics and quantum dynamics (26% in
the HSR model and 32% in the quantum Debye model for the initial site at BChl
1). This observation indicates that the quantum coherence can significantly
change the distribution of energy transfer pathways in the flux network with
the efficiency nearly the same. The quantum-classical comparison of the average
trapping time with the removal of the bottleneck site, BChl 4, demonstrates the
robustness of the efficient energy transfer by the mechanism of multi-site
quantum coherence. To reconcile with the latest eight-site FMO model, the
quantum-classical comparison with the flux network analysis is summarized in
the appendix. The eight-site FMO model yields similar trapping time and network
structure as the seven-site FMO model but leads to a more disperse distribution
of energy transfer pathways.Comment: submitted to Journal of Chemical Physic
Determinants of B2C EC Success on Market Performance of Different Sizes of Firms in Taiwan's E-Brokerage Sector
Guided by a financial model, this study is the first to integrate Miles and Snow's (1978) strategic typology as an external industry effect and the resource-based view of the firm as an internal effect to explain market performance of different firm sizes in business-to-consumer e-commerce firms. Factors such as strategy types, CEO commitment to e-commerce, Web site design, and IT system integration capabilities were empirically investigated. Findings showed that prospector strategy utilized by large e-brokers significantly outperformed analyzer, defender, and reactor strategies in online market share. Top managers of small-to-medium enterprises (SMEs) should choose defender or analyzer strategies to gain market performance. Large firms indeed outperformed SMEs in online market share. In addition, large firm's CEO commitment to e-commerce, Web site design and IT system integration capabilities and Web age were explanatory factors for online market share but had no effect on both market performances for SMEs. Managerial implications and future study are recommended
Time-Location Patterns of a Population Living in an Air Pollution Hotspot
This study characterized the time-location pattern of 107 residents living in air pollution hotspots, the Waterfront South and Copewood/Davis Streets communities in Camden, NJ. Most residents in the two communities are minority and impoverished individuals. Results showed that employment status played the fundamental role in determining time-location patterns of this study population, and the variations of time-location pattern by season and by day-type were partially attributed to employment status. Compared to the National Human Activity Pattern Survey, the Camden cohort spent significantly more time outdoors (3.8 hours versus 1.8 hours) and less time indoors (19.4 hours versus 20.9 hours) than the general US population, indicating a higher risk of exposure to ambient air pollution for the Camden cohort. The findings of the study are important for understanding exposure routes and sources for the socioeconomically disadvantaged subgroup and ultimately help develop effective strategies to reduce community exposure to ambient air pollution in “hotspots”
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