cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Novel Intraday Photovoltaic Production Forecasting Algorithm Using Deep Learning Ensemble Models
Creators: name: Theocharides, S.
name: Makrides, G.
name: Theristis, M.
name: Georghiou, G.E.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Solar Resource and Forecasting

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1134-1137
description: The high penetration level of photovoltaic (PV) systems to the utility grid and the intermittent nature of the generated power, introduces new challenges for the stability of electricity grids. The scope of this study is to present a novel intraday (up to 5-hours ahead forecasting) PV power production forecasting algorithm that is fully data-driven and based on machine learning ensemble principles. The methodology followed to develop the forecasting ensemble comprised of a cluster of Bayesian neural networks (BNN) that were trained with different exogenous variables, lag structures and estimation window duration. Preliminary obtained results demonstrated that the resulting hour-ahead forecasting ensemble model showed accuracies beyond the state-of-the-art (<3.3%). Finally, the implemented ensemble was able to forecast 5 points in time (5-hours ahead) with an accuracy <8%.
Effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern Ethiopia
Creators: name: Tessema, Kassaw Beshaw
name: Haile, Alemseged Tamiru
name: Amencho, Negash Wagesho
name: Habib, Emad
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Plant Biology

description: The actual accuracy of satellite rainfall products is often unknown due to the limitation of raingauge networks. We evaluated the effect of gauge representativeness error on evaluation of rainfall estimates from the CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) rainfall product. The reference data were collected using an experimental raingauge network within a small watershed of 1690 ha, which is comparable to the CHIRPS resolution. The study applied a total bias approach, decomposed into hit, missed and false biases, and an error-variance separation method to evaluate gauge representativeness error at the scale of CHIRPS pixel size, as well as modeled the spatial correlation field of daily rainfall with a three-parametric exponential model. The results indicate that the gauge representativeness error is still too large to ignore in evaluating satellite rainfall. However, it is significantly affected by sample size and caution should be exercised when the rainfall data has a small sample size.
Combination of Physics Based Simulation and Machine Learning for PV Power Forecasting of Large Power Plants
Creators: name: Holland, N.
name: Pang, X.
name: Herzberg, W.
name: Bor, J.
name: Lorenz, E.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Solar Resource and Forecasting

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1114-1120
description: Forecasting of PV power essentially relies on forecasting of the solar irradiance. There are different sources of irradiance forecasts like numerical weather predictions as well as satellite and measurement-based methods. Those different sources are typically combined to derive optimized forecasts for different forecast horizons. To derive PV power forecasts on this basis, new machine learning methods are a valuable addition to physics-based simulations. In our approach we combine not only different sources of irradiance forecasts but also the physics-based simulations with machine learning methods in order to produce optimized PV forecasts for large scale power plants and apply the method on a power plant (>800MW) in the Qinghai province of China. This PV power plant is frequently subject to curtailment by the grid operator for large power values, which presents a challenge for model training that we address by applying a mix of active power control thresholding and a machine learning model trained to detect curtailment in PV power measurements.
Perspective: How good is DFT for water?
Creators: name: Gillan, M. J.
name: Alfè, D.
name: Michaelides, A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Kohn-Sham density functional theory (DFT) has become established as an indispensable tool for investigating aqueous systems of all kinds, including those important in chemistry, surface science, biology and the earth sciences. Nevertheless, many widely used approximations for the exchange-correlation (XC) functional describe the properties of pure water systems with an accuracy that is not fully satisfactory. The explicit inclusion of dispersion interactions generally improves the description, but there remain large disagreements between the predictions of different dispersion-inclusive methods. We present here a review of DFT work on water clusters, ice structures and liquid water, with the aim of elucidating how the strengths and weaknesses of different XC approximations manifest themselves across this variety of water systems. Our review highlights the crucial role of dispersion in describing the delicate balance between compact and extended structures of many different water systems, including the liquid. By referring to a wide range of published work, we argue that the correct description of exchange-overlap interactions is also extremely important, so that the choice of semi-local or hybrid functional employed in dispersion-inclusive methods is crucial. The origins and consequences of beyond-2-body errors of approximate XC functionals are noted, and we also discuss the substantial differences between different representations of dispersion. We propose a simple numerical scoring system that rates the performance of different XC functionals in describing water systems, and we suggest possible future developments.
On the nature of the most obscured C-rich AGB stars in the Magellanic Clouds
Creators: name: Ventura, P.
name: Karakas, A. I.
name: Dell'Agli, F.
name: García-Hernández, D. A.
name: Boyer, M. L.
name: Di Criscienzo, M.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The stars in the Magellanic Clouds with the largest degree of obscuration are used to probe the highly uncertain physics of stars in the asymptotic giant branch (AGB) phase of evolution. Carbon stars in particular, provide key information on the amount of third dredge-up (TDU) and mass loss. We use two independent stellar evolution codes to test how a different treatment of the physics affects the evolution on the AGB. The output from the two codes are used to determine the rates of dust formation in the circumstellar envelope, where the method used to determine the dust is the same for each case. The stars with the largest degree of obscuration in the LMC and SMC are identified as the progeny of objects of initial mass $2.5-3~M_{\odot}$ and $\sim 1.5~M_{\odot}$, respectively. This difference in mass is motivated by the difference in the star formation histories of the two galaxies, and offers a simple explanation of the redder infrared colours of C-stars in the LMC compared to their counterparts in the SMC. The comparison with the Spitzer colours of C-rich AGB stars in the SMC shows that a minimum surface carbon mass fraction $X(C) \sim 5\times 10^{-3}$ must have been reached by stars of initial mass around $1.5~M_{\odot}$. Our results confirm the necessity of adopting low-temperature opacities in stellar evolutionary models of AGB stars. These opacities allow the stars to obtain mass-loss rates high enough ($\gtrsim 10^{-4}M_{\odot}/yr$) to produce the amount of dust needed to reproduce the Spitzer colours
description: 14 pages, 5 figures, 1 table; accepted for publication in MNRAS Main Journal
Intraday Post Processing of Solar Irradiance Forecasts from WRF Model Using Satellite-Derived Data in French Guiana
Creators: name: Salloum, M.
name: Macaire, J.
name: Zermani, S.
name: Bechet, J.
name: Primerose, A.
name: Linguet, L.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Solar Resource and Forecasting

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1121-1124
description: The objective of this study is to improve day ahead Weather Research and Forecasting Model (WRF) forecasts in any geographical location in the Inter Tropical Zone (ITZ). The WRF model is a physical one with high biased outputs. A post processing step is required to reduce the WRF model output’s bias. This step is obtained by post processing WRF output with a Kalman filter bias correction method (hybrid physical statistical model). We proposed to use Satellite images as observation instead of ground measurements for the post processing of WRF model. Since Satellite images have a broader coverage than ground measurements. We validated our methodology over three months of Global Horizontal Irradiance (GHI) data from six stations located in French Guiana, a South America territory with a tropical climate regulated by the Intertropical-Convergence Zone. To compute the model accuracy, we used three metrics; the mean bias error, mean absolute error and root mean square error. For all sky conditions and all stations merged, the post-processing method using satellite-derived data has a similar performance to the post-processing method using ground-based irradiation measurements. Satellite-derived data perform better than ground one for clear sky conditions with low variability. Moreover, we note a better performance with satellite-derived data for high variability and independent of sky condition.
Recurrent Neural Network for Short-Time Power Forecast for a 540 kWp Grid-Connected PV Plant Installed at the University of São Paulo, Brazil
Creators: name: Ferreira Fonseca, W.W.
name: Ramos Martins, F.
name: Zilles, R.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Solar Resource and Forecasting

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1125-1129
description: A RNN model was developed to predict up to three hours ahead of the production of a 540 kWp gridconnected PV plant installed at the Energy and Environment Institute in São Paulo, Brazil. The RNN's predictors are meteorological and environmental data and a set of power output data of two subset PV plants of 156 kWp each. Two RNN models were set concerning the two typical climate seasons - dry and rainy months. The aerosol optic depth data provided by MERRA-2 reanalysis model was included as a predictor. A brute force algorithm determined the architecture with three hidden layers and thirty neurons in each layer. We evaluated the accuracy of the PV power forecast through Mean Squared Error (MSE), Nominal Root Mean Squared Error (NRMSE), and Skill Score (SS) comparing to a persistence model. Both forecast models resulted in a good fit comparing observed and forecasted data, with NRMSE ranging from 8.01 to 13.88 kWh. The method applied in this work consistently outperformed the persistence model for all evaluated scenarios, especially during rainy months. SS values observed range from 0.72 to 0.91. Finally, the inclusion of aerosol data has slightly improved the forecast model performance during dry months.
Strategic Management Practice on Performance of Small and Medium Enterprises (The Case of Gullele Sub City, Addis Ababa)
Creators: name: Tegbew, Addis
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2019

description: Strategic management practice or engaging in proper strategy planning, strategy implementation and strategy evaluation aids the organization to success. The aim of conducting this research was to determine the effect of strategy formulation, implementation and evaluation on performance. To carry out this research the researcher has adopted a descriptive and explanatory research design to determine the relationship and effect of strategic management (strategy formulation, implementation and evaluation) on performance. The study was targeted 152 SMEs and from these 50 SMEs were determined as a sample but out of which 4 respondents did not return the questionnaire. Stratified probability sampling method was applied and data were collected from 46 SME managers through structured questionnaire using 5-point likert scale. The primary data were generated from managers of the enterprise and secondary data from articles, full sized papers, meeting papers, books and internet, then primary data have been edited, classified, organized and coded to get descriptive and inferential statistics outputs using a professional software called SPSS version 23. Regression analysis was done to determine the effect of strategy formulation, implementation and evaluation on performance and correlation analysis was also used to determine the relationship between strategy formulation, implementation, evaluation and performance through inferential statistics. Finally, the finding shows that strategic management practice had a positive effect on performance. However, the only variable that had an effect on performance was strategy implementation. Based on the findings, the researcher has recommended that all enterprises should have a written vision and mission statement, should get training and as a result actively engaged in strategic management practice to increase their profit, output, market share, customer satisfaction and reduction of waste.
Thermal characteristics and the differential emission measure distribution during a B8.3 flare on July 04, 2009
Creators: name: Awasthi, Arun Kumar
name: Sylwester, Barbara
name: Sylwester, Janusz
name: Jain, Rajmal
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We investigate the evolution of differential emission measure distribution (DEM[T]) in various phases of a B8.3 flare, which occurred on July 04, 2009. We analyze the soft X-ray (SXR) emission in 1.6-8.0 keV range, recorded collectively by Solar Photometer in X-rays (SphinX; Polish) and Solar X-ray Spectrometer (SOXS; Indian) instruments. We make a comparative investigation of the best-fit DEM[T] distributions derived by employing various inversion schemes viz. single gaussian, power-law, functions and Withbroe-Sylwester (W-S) maximum likelihood algorithm. In addition, SXR spectrum in three different energy bands viz. 1.6-5.0 keV (low), 5.0-8.0 keV (high) and 1.6-8.0 keV (combined) is analyzed to determine the dependence of the best-fit DEM[T] distribution on the selection of energy interval. The evolution of DEM[T] distribution, derived using W-S algorithm, reveals the plasma of multi-thermal nature during the rise to the maximum phase of the flare, while of isothermal nature in the post-maximum phase of the flare. Thermal energy content is estimated considering the flare plasma to be of 1) iso-thermal and 2) multi-thermal nature. We find that the energy content during the flare, estimated from the multi-thermal approach, is in good agreement with that derived using the iso-thermal assumption except during the maximum of the flare. Further, (multi-) thermal energy estimated employing low-energy band of the SXR spectrum result in higher values than that derived from the combined-energy band. On the contrary, the analysis of high-energy band of SXR spectrum lead to lower thermal energy than that estimated from the combined-energy band.
description: Accepted for publication in the ApJ, 12 Figures, 14 Pages
Introducing the Third Edition of the Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications
Creators: name: Remund, J.
name: Habte, A.
name: Sengupta, M.
name: Gueymard, C.A.
name: Wilbert, S.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Solar Resource and Forecasting

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1111-1113
description: Sunlight is the fuel for all solar energy generation technologies. For any generation source and its us- ers, knowledge of the quality and future reliability of the fuel is essential for accurate control and analysis of system performance and to determine the financial viability of projects. Information about the resources and forecasts are concluded in the Solar Resource Handbook [1]. In spring 2021 the National Renewable Energy Laboratory (NREL) published the third edition of the widely used Solar Resource Handbook. This handbook was developed by partici- pants of International Energy Agency (IEA) Photovoltaic Power Systems (PVPS) Task 16 and is the main and final outcome of the first phase of IEA PVPS Task 16 (2017–2020). This update includes contributions from 41 authors. Compared to the 2nd edition, it has been significantly enhanced (from 225 to 335 pages), with new chapter on rele- vant meteorological parameters. The chapters on measurement and modeled data uncertainty, solar forecasting, and applications of solar resource data to various solar energy technologies and products have also been heavily updated. This paper includes the major updates as well as two examples of updated descriptions.
Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification
Creators: name: Nogueira, Keiller
name: Penatti, Otávio A. B.
name: Santos, Jefersson A. dos
Publisher: name: arXiv
Year: 2016
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: We present an analysis of three possible strategies for exploiting the power of existing convolutional neural networks (ConvNets) in different scenarios from the ones they were trained: full training, fine tuning, and using ConvNets as feature extractors. In many applications, especially including remote sensing, it is not feasible to fully design and train a new ConvNet, as this usually requires a considerable amount of labeled data and demands high computational costs. Therefore, it is important to understand how to obtain the best profit from existing ConvNets. We perform experiments with six popular ConvNets using three remote sensing datasets. We also compare ConvNets in each strategy with existing descriptors and with state-of-the-art baselines. Results point that fine tuning tends to be the best performing strategy. In fact, using the features from the fine-tuned ConvNet with linear SVM obtains the best results. We also achieved state-of-the-art results for the three datasets used.
Transfer matrix approach for the Kerr and Faraday rotation in layered nanostructures
Creators: name: Széchenyi, Gábor
name: Vigh, Máté
name: Kormányos, Andor
name: Cserti, József
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: To study the optical rotation of the polarization of light incident on multilayer systems consisting of atomically thin conductors and dielectric multilayers we present a general method based on transfer matrices. The transfer matrix of the atomically thin conducting layer is obtained using the Maxwell equations. We derive expressions for the Kerr (Faraday) rotation angle and for the ellipticity of the reflected (transmitted) light as a function of the incident angle and polarization of the light. The method is demonstrated by calculating the Kerr (Faraday) angle for bilayer graphene in the quantum anomalous Hall state placed on the top of dielectric multilayers. The optical conductivity of the bilayer graphene is calculated in the framework of a four-band model.
description: 10 pages, 6 figures
Random patterns in fish schooling enhance alertness: a hydrodynamic perspective
Creators: name: Kadri, Usama
name: Brümmer, Franz
name: Kadri, Anan
Publisher: name: arXiv
Year: 2016
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: Biological Physics (physics.bio-ph)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: One of the most highly debated questions in the field of animal swarming and social behaviour, is the collective random patterns and chaotic behaviour formed by some animal species, in particular if there is a danger. Is such a behaviour beneficial or unfavourable for survival? Here we report on one of the most remarkable forms of animal swarming and social behaviour - fish schooling - from a hydrodynamic point of view. We found that some fish species do not have preferred orientation and they swarm in a random pattern mode, despite the excess of energy consumed. Our analyses, which includes calculations of the hydrodynamic forces between slender bodies, show that such a behaviour enhances the transfer of hydrodynamic information, and thus enhances the survivability of the school. These findings support the general hypothesis that a disordered and non-trivial collective behaviour of individuals within a nonlinear dynamical system is essential for optimising transfer of information - an optimisation that might be crucial for survival.
description: 12 pages, 5 figures, 1 table
Revisiting the microlensing event OGLE 2012-BLG-0026: A solar mass star with two cold giant planets
Creators: name: Beaulieu, J. P.
name: Bennett, D. P.
name: Batista, V.
name: Fukui, A.
name: Marquette, J. -B.
name: Brillant, S.
name: Cole, A. A.
name: Rogers, L. A.
name: Sumi, T.
name: Abe, F.
name: Bhattacharya, A.
name: Koshimoto, N.
name: Suzuki, D.
name: Tristram, P. J.
name: Han, C.
name: Gould, A.
name: Pogge, R.
name: Yee, J.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Two cold, gas giant planets orbiting a G-type main sequence star in the galactic disk have previously been discovered in the high magnification microlensing event OGLE-2012-BLG-0026 (Han et al. 2013). Here we present revised host star flux measurements and a refined model for the two-planet system using additional light curve data. We performed high angular resolution adaptive optics imaging with the Keck and Subaru telescopes at two epochs while the source star was still amplified. We detected the lens flux, $H=16.39 \pm 0.08$. The lens, a disk star, is brighter than predicted from the modeling in the original study. We revisited the light curve modeling using additional photometric data from the B\&C telescope in New Zealand and CTIO 1.3m H band light curve. We then include the Keck and Subaru adaptive optic observation constraints. The system is composed of a $\sim 4-9$ Gyr lens star of $\rm M_{lens} = 1.06 \pm 0.05~\,M_\odot$ at a distance of $\rm D_{lens} = 4.0 \pm 0.3~$kpc, orbited by two giant planets of $\rm 0.145 \pm 0.008\ M_{\rm Jup}$ and $0.86 \pm 0.06~\rm M_{\rm Jup}$ with projected separations of $4.0 \pm 0.5 $ AU and $4.8 \pm 0.7$ AU respectively. Since the lens is brighter than the source star by $16 \pm 8 \%$ in H, with no other blend within one arcsec, it will be possible to estimate its metallicity by subsequent IR spectroscopy with 8--10~m class telescopes. By adding a constraint on the metallicity it will be possible to refine the age of the system.
description: 6 pages, 4 figures, submitted to ApJ
What Is the Correct Efficiency for Terrestrial Concentrator PV Devices?
Creators: name: Müllejans, H.
name: Winter, S.
name: Green, M.A.
name: Dunlop, E.D.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Concentrators, PV for Space Applications, and TPV

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1106-1110
description: In this paper we assess the calculation of efficiency for concentrator PV (CPV) devices critically. Based on the general definition and conventional assumptions we argue that the efficiency for CPV devices should not be referenced only to the direct incident irradiance but to the total irradiance which includes also the diffuse and albedo components. The total (spectral) irradiance which would be incident onto a CPV device when the direct irradiance is exactly as already defined in the direct reference spectrum AM1.5D is calculated here and denominated as AM1.5GN. Based on this we derive a correction factor to obtain the thermodynamic efficiencies of CPV from the conventionally quoted efficiency with respect to the direct irradiance only. We illustrate the concept by applying it to the latest published world record efficiencies for CPV.
Substructure and Tidal Streams in the Andromeda Galaxy and its Satellites
Creators: name: Ferguson, Annette M. N.
name: Mackey, A. D.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Tidal streams from existing and destroyed satellite galaxies populate the outer regions of the Andromeda galaxy (M31). This inhomogeneous debris can be studied without many of the obstacles that plague Milky Way research. We review the history of tidal stream research in M31, and in its main satellite galaxies. We highlight the numerous tidal streams observed around M31, some of which reside at projected distances of up to 120 kpc from the center of this galaxy. Most notable is the Giant Stellar Stream, a signature of the most recent significant accretion event in the M31 system. This event involved an early-type progenitor of ~10^9 solar masses that came within a few kpc of M31's center roughly a gigayear ago; almost all of the inner halo debris (within 50 kpc) in M31 can be tied either directly or indirectly to this event. We draw attention to the fact that most of M31's outer halo globular clusters lie preferentially on tidal streams and discuss the potential this offers to use these systems as probes of the accretion history. Tidal features observed around M33, M32, NGC 205 and NGC 147 are also reviewed. We conclude by discussing future prospects for this field.
description: 29 pages, 9 figures. Book chapter in Tidal Streams in the Local Group and Beyond, eds. Heidi Newberg and Jeff Carlin
Effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern Ethiopia
Creators: name: Tessema, Kassaw Beshaw
name: Haile, Alemseged Tamiru
name: Amncho, Negach Wagesho
name: Habib, Emad
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Plant Biology

description: The actual accuracy of satellite rainfall products is often unknown due to the limitation of raingauge networks. We evaluated the effect of gauge representativeness error on evaluation of rainfall estimates from the CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) rainfall product. The reference data were collected using an experimental raingauge network within a small watershed of 1690 ha, which is comparable to the CHIRPS resolution. The study applied a total bias approach, decomposed into hit, missed and false biases, and an error-variance separation method to evaluate gauge representativeness error at the scale of CHIRPS pixel size, as well as the modelling the spatial correlation field of daily rainfall with a three-parametric exponential model. The results indicate that the gauge representativeness error is still too large to ignore in evaluating satellite rainfall. However, it is significantly affected by sample size and caution should be exercised when the rainfall data has small sample size.
Assessment of Product Supply Chain Management for Market Competitive Advantage in Case of Yes Food and Beverage PLC.
Creators: name: Endashaw, Elsabet
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2016

description: Effective supply chain management (SCM) has become a potentially valuable way of securing competitive advantage through enhancing operational and improving organizational performances since competition is no longer between organizations, but among supply chains. This research conceptualizes and develops five dimensions of SCM practice (strategic supplier partnership, customer relationship, level of information sharing, quality of information sharing, and internal lean practices) and tests the relationships between SCM practices, operational performance, and organizational performance. The data for the study was collected from 80 employees of Yes Natural Spring Water. The relationships proposed in the framework were tested using Pearson correlation, and the causal relations were analyzed using regression analysis. From the result of the analysis it is concluded that there is strong relationship between SCM practices, operational performance and organizational performance. Besides, SCM practices have an influence both on operational performance and organizational performance. On the other hand, operational performance has also an influence on organizational performance. Therefore, inorder to achieve advancement in marketing and financial performance in the long-run throughenhancing organizational performance, it is better for the organization to give due emphasis to the constructs of SCM practices and the measures of operational performance Keyword: supply chain management, operational performance, organizational performance
Light Weight Interconnection Weave for Space PV
Creators: name: Borgers, T.
name: Szlufcik, J.
name: Van Den Storme, M.
name: Van Den Storme, G.
name: Brandt, C.
name: Girolamo, D.
name: Das, S.
name: Verdonck, J.
name: Nivelle, P.
name: Govaerts, J.
name: Doumen, G.
name: Vastmans, L.
name: De Vrieze, S.
name: Voroshazi, E.
name: Poortmans, J.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Concentrators, PV for Space Applications, and TPV

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1096-1100
description: This work reports on the first results of a new concept for a flexible blanket based on weaving technology, which could potentially be employed as a carrier structure for the photovoltaic assembly (PVA) within a flexible solar array (SA) architecture. Though further away from current proposed solutions, the promising potential of such a weaving approach is describing the creation of an electrically functional and integrated flexible carrier with minimal weight and stowage volume.
Comparison of open access global climate services for hydrological data
Creators: name: Merks, J.
name: Photiadou, C.
name: Ludwig, F.
name: Arheimer, B.
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology

description: There is a high demand for openly accessible hydroclimatic data for climate change adaptation. Different data sources are available, however, discrepancy between the data can confuse users and should be evaluated and explained. This study, investigates how climate impact indicators (CIIs) developed for global users in the Copernicus Climate Change Service (C3S) are comparable to other openly available global data for water and climate. We found that, for temperature, datasets are comparable and climate impacts are thus considered robust. Important discrepancies arise in the precipitation indicators. Of the CIIs analysed in this study, the hydrological CIIs differ most so they should be used with care. These differences are probably caused by model uncertainty (hydrological model, HM; global climate model, GCM), ensemble size and model selection. A HM ensemble, as well as a GCM ensemble combined with improved model performance and selection criteria, should be used to ensure high quality global water and climate services.
Peering into the Giant Planet Forming Region of the TW Hydrae Disk with the Gemini Planet Imager
Creators: name: Rapson, Valerie A.
name: Kastner, Joel H.
name: Millar-Blanchaer, Maxwell A.
name: Dong, Ruobing
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: We present Gemini Planet Imager (GPI) adaptive optics near-infrared images of the giant planet-forming regions of the protoplanetary disk orbiting the nearby (D = 54 pc), pre-main sequence (classical T Tauri) star TW Hydrae. The GPI images, which were obtained in coronagraphic/polarimetric mode, exploit starlight scattered off small dust grains to elucidate the surface density structure of the TW Hya disk from 80 AU to within 10 AU of the star at 1.5 AU resolution. The GPI polarized intensity images unambiguously confirm the presence of a gap in the radial surface brightness distribution of the inner disk. The gap is centered near 23 AU, with a width of 5 AU and a depth of 50%. In the context of recent simulations of giant planet formation in gaseous, dusty disks orbiting pre-main sequence stars, these results indicate that at least one young planet with a mass 0.2 M_J could be present in the TW Hya disk at an orbital semi-major axis similar to that of Uranus. If this (proto)planet is actively accreting gas from the disk, it may be readily detectable by GPI or a similarly sensitive, high-resolution infrared imaging system.
description: 24 pages, 5 figures, Accepted to ApJL
Graphene healing mechanisms: A theoretical investigation
Creators: name: Botari, Tiago
name: Paupitz, Ricardo
name: Autreto, Pedro Alves da Silva
name: Galvao, Douglas S
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Chemical Physics (physics.chem-ph)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Large holes in graphene membranes were recently shown to heal, either at room temperature during a low energy STEM experiment, or by annealing at high temperatures. However, the details of the healing mechanism remain unclear. We carried out fully atomistic reactive molecular dynamics simulations in order to address these mechanisms under different experimental conditions. Our results show that, if a carbon atom source is present, high temperatures can provide enough energy for the carbon atoms to overcome the potential energy barrier and to produce perfect reconstruction of the graphene hexagonal structure. At room temperature, this perfect healing is only possible if the heat effects of the electron beam from STEM experiment are explicitly taken into account. The reconstruction process of a perfect or near perfect graphene structure involves the formation of linear carbon chains, as well as rings containing 5, 6, 7 and 8 atoms with planar (Stone-Wales) and non-planar (lump like) structures. These results shed light on the healing mechanism of graphene when subjected to different experimental conditions. Additionally, the methodology presented here can be useful for investigating the tailoring and manipulations of other nano-structures.
description: 21 pages, 7 figures
Theoretical aspects of the study on the new bismuth chalcogenide based superconductors
Creators: name: Usui, Hidetomo
name: Kuroki, Kazuhiko
Publisher: name: arXiv
Year: 2016
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We review theoretical aspects of the studies on the recently discovered BiCh2 (Ch=chalcogen) based superconductors. We first focus on the electronic band structure, the Fermi surface and their correlation with the lattice structure. We then discuss the phonon features and the issue of the lattice instability. Finally, we survey the phonon-mediated as well as the unconventional pairing mechanisms that have been proposed so far.
description: 27 pages, 17 figures
First Mechanical Study on Lightweight Microconcentrators Systems for Space Applications
Creators: name: Vareilles, V.
name: Bermudez-Garcia, A.
name: Francois, J.
name: Veschetti, Y.
name: Amara, M.
name: Voarino, P.
name: Chabuel, F.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Concentrators, PV for Space Applications, and TPV

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1101-1105
description: The French Commission for Atomic and Alternative Energies (CEA) has been investigating a lightweight honeycomb core composite structure for micro-concentrators for space applications. This new design requires a double stage honeycomb sandwich, a front layer to support the optical system with a glass front sheet and a second honeycomb to provide stiffness and mechanical strength to the module. Mechanical studies were conducted to design a lightweight structure suitable for the space environment, meeting the requirements for stiffness, adhesion between the components and mechanical strength.
SCOTTI: Efficient Reconstruction of Transmission within Outbreaks with the Structured Coalescent
Creators: name: De Maio, Nicola
name: Wu, Chieh-Hsi
name: Wilson, Daniel J
Publisher: name: arXiv
Year: 2016
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: FOS: Biological sciences

description: Exploiting pathogen genomes to reconstruct transmission represents a powerful tool in the fight against infectious disease. However, their interpretation rests on a number of simplifying assumptions that regularly ignore important complexities of real data, in particular within-host evolution and non-sampled patients. Here we propose a new approach to transmission inference called SCOTTI (Structured COalescent Transmission Tree Inference). This method is based on a statistical framework that models each host as a distinct population, and transmissions between hosts as migration events. Our computationally efficient implementation of this model enables the inference of host-to-host transmission while accommodating within-host evolution and non-sampled hosts. SCOTTI is distributed as an open source package for the phylogenetic software BEAST2. We show that SCOTTI can generally infer transmission events even in the presence of considerable within-host variation, can account for the uncertainty associated with the possible presence of non-sampled hosts, and can efficiently use data from multiple samples of the same host, although there is some reduction in accuracy when samples are collected very close to the infection time. We illustrate the features of our approach by investigating transmission from genetic and epidemiological data in a Foot and Mouth Disease Virus (FMDV) veterinary outbreak in England and a Klebsiella pneumoniae outbreak in a Nepali neonatal unit. Transmission histories inferred with SCOTTI will be important in devising effective measures to prevent and halt transmission.
Real-space Hopfield diagonalization of inhomogeneous dispersive media
Creators: name: Gubbin, Christopher R.
name: Maier, Stefan A.
name: De Liberato, Simone
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We introduce a real-space technique able to extend the standard Hopfield approach commonly used in quantum polaritonics to the case of inhomogeneous lossless materials interacting with the electromagnetic field. We derive the creation and annihilation polaritonic operators for the system normal modes as linear, space-dependent superpositions of the microscopic light and matter fields, and we invert the Hopfield transformation expressing the microscopic fields as functions of the polaritonic operators. As an example, we apply our approach to the case of a planar interface between vacuum and a polar dielectric, showing how we can consistently treat both propagative and surface modes, and express their nonlinear interactions, arising from phonon anharmonicity, as polaritonic scattering terms. We also show that our theory can be naturally extended to the case of dissipative materials.
Factors affecting the adoption of mobile banking in selected commercial banks in Ethiopia
Creators: name: Yetnayet, Assegid
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2019

description: The aim of this study is to examine the factors affecting the adoption of Mobile banking in selected commercial banks in Ethiopia, namely Commercial bank of Ethiopia, Awash Bank, Dashen Bank, and Abyssinia Bank. To attain the objective of the study, primary data were collected through questionnaire from a sample of 267 bank customers who use mobile banking service. The respondents were selected using purposive sampling technique. The data was analyzed using statistical methods such as mean, correlation, and regression analyses via STATA software. The study investigated Perceived usefulness, Perceived ease of use, Attitude, Awareness, Security and privacy and technological self-efficacy as factors that affect the adoption of Mobile banking. The results indicate that, Perceived usefulness, Perceived ease of use, Attitude, Security and Privacy have positive and significant effect on adopting Mobile banking while technological self –efficacy and Awareness have no significant effect in adoption of Mobile banking. These factors together explain 59.3% of the variations on Mobile banking adoption and the rest 40.7 of the variation was explained by other factors that are not included in the model. Based on the findings, the study forwards some recommendations as the bank should give a high priority in boosting the trust and confidence of the customer; the bank should pay attention in terms of the user friendliness and informative content of the mobile banking system and the bank have to change the attitude of the customers by educating the benefit of Mobile banking service.
Generating accurate climate model realizations
Creators: name: Immorlano, Francesco
name: Chiarelli, Marco
name: Eyring, Veronika
name: De Gouville, Thomas Le Monnier
name: Accarino, Gabriele
name: Aloisio, Giovanni
name: Gentine, Pierre
Publisher: name: Zenodo
Year: 2023

description: Presentation given at AGU Fall Meeting 2022 during the session "A55D - Climate Sensitivity and Feedbacks: Advances and New Paradigms III Oral"
Magnetometry of micro-magnets with electrostatically defined Hall bars
Creators: name: Lachance-Quirion, Dany
name: Lemyre, Julien Camirand
name: Bergeron, Laurent
name: Sarra-Bournet, Christian
name: Pioro-Ladrière, Michel
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Micro-magnets are key components for quantum information processing with individual spins, enabling arbitrary rotations and addressability. In this work, characterization of sub-micrometer sized CoFe ferromagnets is performed with Hall bars electrostatically defined in a two-dimensional electron gas. Due to the ballistic nature of electron transport in the cross junction of the Hall bar, anomalies such as the quenched Hall effect appear near zero external magnetic field, thus hindering the sensitivity of the magnetometer to small magnetic fields. However, it is shown that the sensitivity of the diffusive limit can be almost completely restored at low temperatures using a large current density in the Hall bar of about 10 A/m. Overcoming the size limitation of conventional etched Hall bars with electrostatic gating enables the measurement of magnetization curves of 440 nm wide micro-magnets with a signal-to-noise ratio above 10^3. Furthermore, the inhomogeneity of the stray magnetic field created by the micro-magnets is directly measured using the gate-voltage-dependent width of the sensitive area of the Hall bar.
description: 5 pages, 4 figures
L’architettura come pratica inclusiva: un progetto di connettività transculturale a Berlino
Creators: name: Tuzi, Irene
name: Fiorelli, Angela
Publisher: name: DIVE-IN – An International Journal on Diversity and Inclusion
Year: 2023

description: Il progetto presentato in questo contributo è la sintesi di una collaborazione interdisciplinare tra architettura e sociologia, poiché si pone come verifica progettuale e programmatica di possibili strategie di interscambio fisico-spaziale e socioculturale tra diversi gruppi sociali. Il saggio invita a una riflessione critica sul concetto di ‘integrazione’ a partire dallo spazio abitato diffuso con particolare attenzione al ruolo dello spazio pubblico nella società odierna. In particolare, lo studio esplora il ruolo dell’architettura nella creazione di un modello di integrazione sociale, presentando un progetto volto a promuovere l’inclusione nelle scuole di Berlino. Il progetto di ricerca presentato si basa sul concetto di transculturalismo, una prospettiva culturale più ampia del multiculturalismo, che supera i confini delle ‘comunità’ a favore di una società unica, più ampia, in grado di coesistere secondo principi e valori comuni.
description: DIVE-IN – An International Journal on Diversity and Inclusion, V. 2 N. 2 (2022): Interpretare e costruire mondi: pratiche inclusive a varie latitudini
Estimation of Snow Loss for Photovoltaic Plants in Norway
Creators: name: Øgaard, M.B.
name: Riise, H.N.
name: Selj, J.H.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1081-1087
description: Large PV plants are increasingly common in locations with colder climates where snow can lead to significant PV power loss. For these locations, estimates of snow loss is necessary for accurate PV yield modeling. Robust estimation of snow loss is, however, challenging. Snow-induced loss is expected to vary with climate, weather, and PV plant design. In this work, we estimate snow loss from historical data for a set of PV plants in Norway. To extend the snow loss dataset, 12 years of weather data and a modified adaption of the Marion snow loss model are used to simulate snow loss for the analyzed PV plants over time. For the historical data, we observe variations in annual losses for the same system of more than 10 percentage points. For some of the systems, we find losses in a range from 0 to 100 % for the same month. As expected, systems with colder climates have higher loss than systems in warmer climates, and systems with higher tilt has lower loss than systems with lower tilt. With snow loss modeling we get improved understanding of typical and extreme values, and the potential inter-annual variation in monthly and annual snow loss.