SDSS J122958.84+000138.0: A Compact, Optically red galaxy

We report a new compact galaxy, SDSS J122958.84+000138.0 (SDSS J1229+0001), which has unique morphological and stellar population properties that are rare in observations of the nearby universe. SDSS J1229+0001 has an $r$-band absolute magnitude (M$_{r}$) and half-light radius (R$_{h}$) of $-$17.75 mag and 520 pc, respectively. Located in a fairly low density environment, morphologically it is akin to a typical early-type galaxy as it has a smooth appearance and red colour. But, interestingly, it possesses centrally concentrated star forming activity with a significant amount of dust. We present an analysis of structural and stellar population properties using archival images and VLT/FORS2 spectroscopy. Analysis of UKIDSS H-band image shows that the observed light distribution is better fitted with two components S\'ersic function with inner and outer component effective radii 190 and 330 pc, respectively. Whereas, overall half-light radius measured in H-band is much smaller compared to optical, i.e 290 pc. We prepared a Spectral Energy Distribution (SED) from optical to FIR and interpret it to derive star-formation rate, dust mass and stellar mass. We find that the SDSS J1229+0001 has dust mass M$_{dust}$ = 5.1 $\times$ 10$^{5}$ M_{\sun} with a dust to stellar mass ratio log(M$_{dust}$/M$_{*}$) = $-$3.5. While the observed stellar population properties are -- to some extent -- similar to that of a typical S0 galaxy, a unified view from stellar population and structural properties may suggests that SDSS J1229+0001 is a {\it smoking gun} example of a compact early-type galaxy in formation.Comment: 10 pages, Accepted MNRA

Support Vector Machine in Prediction of Building Energy Demand Using Pseudo Dynamic Approach

Building's energy consumption prediction is a major concern in the recent years and many efforts have been achieved in order to improve the energy management of buildings. In particular, the prediction of energy consumption in building is essential for the energy operator to build an optimal operating strategy, which could be integrated to building's energy management system (BEMS). This paper proposes a prediction model for building energy consumption using support vector machine (SVM). Data-driven model, for instance, SVM is very sensitive to the selection of training data. Thus the relevant days data selection method based on Dynamic Time Warping is used to train SVM model. In addition, to encompass thermal inertia of building, pseudo dynamic model is applied since it takes into account information of transition of energy consumption effects and occupancy profile. Relevant days data selection and whole training data model is applied to the case studies of Ecole des Mines de Nantes, France Office building. The results showed that support vector machine based on relevant data selection method is able to predict the energy consumption of building with a high accuracy in compare to whole data training. In addition, relevant data selection method is computationally cheaper (around 8 minute training time) in contrast to whole data training (around 31 hour for weekend and 116 hour for working days) and reveals realistic control implementation for online system as well.Comment: Proceedings of ECOS 2015-The 28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems , Jun 2015, Pau, Franc

Calibrating Online Survey Sample for Economic Impact Analysis

Online surveys have emerged as low-cost data collection approach in empirical researches; however, the validity of data remains questionable. Therefore, we employed a stochastic frontier estimation method to calibrate online recreational expenditure. Study results suggested the presence of inefficiency on online surveys. Analysis was extended to estimate economic impact of nature based recreation on a local economy.calibration, online survey, onsite survey, stochastic frontier approach, Research Methods/ Statistical Methods, Resource /Energy Economics and Policy,

Turning conflicts into cooperation? The role of adaptive learning and deliberation in managing natural resources conflicts in Nepal

Conflicts over natural resources are likely to escalate under changing socio-economic contexts and climate change. This paper tests the effectiveness of what we term Adaptive Learning and Deliberation (ALD) in understanding and addressing conflicts over the local management of forests and water, drawing on the experimental works in Nepal. Based on a three-year action research, the paper offers policy and practical insights on how complex and protracted conflicts can be addressed through researcher-facilitated inquiry and deliberative process which forms the core of ALD approach. The conflicts included in the study are not solely triggered by climate change but are a result of diverse environmental changes, diverse policy responses to local issues of resource governance, and wider political and economic factors. We analyze experimental practices of ALD implemented in two sites, where our research team facilitated the ALD process, gathering evidence in relation to conflicting institutional issues, all of which was then fed into researcher-mediated and evidence informed deliberations on conflict management. The analysis shows that the ALD process was helpful in rearranging local institutions to accommodate the interests of the conflicting groups and, to some extent, challenge some of the underlying exclusionary provisions of forest and water institutions which have deep social roots in the Nepalese society. We also identify three key limitations of this approach – transaction costs, the need for strong research and facilitative capacity within the research team, and the acceptance of researchers' involvement among the conflicting stakeholders. Finally, we discuss some policy implications of the findings, including potential implications for building climate resilience

AN ANALYSIS OF WILLINGNESS TO PARTICIPATE IN WILDERNESS OR OTHER PRIMITIVE AREAS

A logit model was used to determine the major factors explaining willingness to participate of an individual in the wilderness or other primitive area visits. The results of the study showed that education and environmental awareness were in wilderness participation decision. Demographic variables like age, race, and sex also were statistically significant and emerged as important policy variables in defining wilderness participation behavior. Characteristics of wilderness areas like crowdness, pollution, and poor management failed to produce any significant impacts in the decision making process of wilderness area visit.wilderness or other primitive area visits, policy variables, demographic characteristics, participation behavior, Consumer/Household Economics,

Soil quality parameters for row-crop systems and grazed pastures with agroforestry buffers

Paper presented at the 12th North American Agroforesty Conference, which was held June 4-9, 2011 in Athens, Georgia.In Ashton, S. F., S.W. Workman, W.G. Hubbard and D.J. Moorhead, eds. Agroforestry: A Profitable Land Use. Proceedings, 12th North American Agroforestry Conference, Athens, GA, June 4-9, 2011.Incorporation of trees and establishment of buffer are believed to enhance soil quality. Soil enzyme activities and water stable aggregates have been identified as good indices for assessing soil quality to evaluate early responses to changes in soil management. However, studies comparing these parameters for grazing pastures and row crop systems are limited. The objective of this study is to examine the activities of selected enzymes (fluorescein diacetate (FDA) hydrolase, dehydrogenase, [beta]-glucosidase and [beta]-glucosaminidase), the percentage of water stable aggregates (WSA), and soil organic carbon and nitrogen as soil quality parameters for grazed pasture and row-crop systems. The study consisted of four management treatments: grazed pasture (GP), agroforestry buffer (AgB), grass buffer (GB) and row-crop (RC). Soil organic carbon (SOC), total nitrogen (TN) contents and soil bulk density were also determined. Two soil depths (0-10 and 10-20 cm) were analyzed for all treatments for two consecutive years, 2009 and 2010. The row-crop treatment showed significantly lower [beta]-glucosidase and [beta]-glucosaminidase activity and significantly lower WSA compared to all other treatments. The FDA hydrolase activities were not significant in 2009 but were significant in 2010. There were numerical variations of parameters in two years but the pattern was consistent. Surface soil revealed higher enzyme activities and higher WSA than the sub-surface soil. The treatment by depth interactions were significant for [beta]-glucosidase and [beta]-glucosaminidase enzymes in 2009 but the interactions were significant for dehydrogenase and [beta]-glucosaminidase enzymes in 2010. Implications can be made that permanent vegetation will improve soil quality by enhancing organic matter accumulation in the soil and increasing microbial activity with minimum soil disturbance which will have a positive effect on the ecosystems.Bodh Paudel (1), Ranjith Udawatta (1,2), Stephen H. Anderson (1) and Robert Kremer (3) ; 1. Soil, Environmental and Atmospheric Sciences, 302 Anheuser-Busch Natural Resources Building, University of Missouri, Columbia, MO, USA. 2. Center for Agroforestry, 203 Anheuser-Busch Natural Resources Building, University of Missouri, Columbia, MO, USA. 3. USDA-ARS Cropping Systems and Water Quality Unit, University of Missouri, Columbia, MO, USA.Includes bibliographical references

Long-range electronic reconstruction to a dxz,yzd_{xz,yz}-dominated Fermi surface below the LaAlO3_3/SrTiO3_3 interface

Low dimensionality, broken symmetry and easily-modulated carrier concentrations provoke novel electronic phase emergence at oxide interfaces. However, the spatial extent of such reconstructions - i.e. the interfacial "depth" - remains unclear. Examining LaAlO$_3$/SrTiO$_3$ heterostructures at previously unexplored carrier densities $n_{2D}\geq6.9\times10^{14}$ cm$^{-2}$, we observe a Shubnikov-de Haas effect for small in-plane fields, characteristic of an anisotropic 3D Fermi surface with preferential $d_{xz,yz}$ orbital occupancy extending over at least 100~nm perpendicular to the interface. Quantum oscillations from the 3D Fermi surface of bulk doped SrTiO$_3$ emerge simultaneously at higher $n_{2D}$. We distinguish three areas in doped perovskite heterostructures: narrow ($<20$ nm) 2D interfaces housing superconductivity and/or other emergent phases, electronically isotropic regions far ($>120$ nm) from the interface and new intermediate zones where interfacial proximity renormalises the electronic structure relative to the bulk.Comment: Supplementary material available at Scientific Reports websit