cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Fourier-positivity constraints on QCD dipole models
Creators: name: Giraud, Bertrand G.
name: Peschanski, Robi
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Fourier-positivity, i.e. the mathematical property that a function has a positive Fourier transform, can be used as a constraint on the parametrization of QCD dipole-target cross-sections or Wilson line correlators in transverse position (r) space. They are Bessel transforms of positive transverse momentum dependent gluon distributions. Using mathematical Fourier-positivity constraints on the limit r -> 0 behavior of the dipole amplitudes, we identify the common origin of the violation of Fourier-positivity for various, however phenomenologically convenient, dipole models. It is due to the behavior r^{2+epsilon}, epsilon>0, softer, even slightly, than color transparency. Fourier-positivity seems thus to conflict with the present dipole formalism when it includes a QCD running coupling constant alpha(r).
description: 8 pages, 4 eps figures
Logistics Management Practice in Awash Bank S.C
Creators: name: Gossaye, Abel
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2017

description: The purpose of this study is to assess logistics management practices in Awash Bank S.C. To address this study descriptive analysis method was employed and also quantitative and qualitative approaches were used. The total number of employees (58), from Awash Bank S.c Shared Services all employees from the department were selected for the study. To gather data for the study questionnaire and interview for selected people have been used. Data obtained through questionnaire has been analyzed by using descriptive statics: mean and standard deviation were supported by SPSS 20.0 software version. Moreover, the data obtained using interview has been analyzed qualitatively. The study focused and discovered the current logistics management activities that has an impact on overall logistics activities of the company namely; transportation management, customer service management, inventory planning management, warehouse management and distribution. Poor transportation and distribution management, lack of adequate and experienced staffs, poor customer service management pertaining logistics, lack of technology support/innovation, poor warehouse management frequent stock out and poor procurement have been found the major problems of the company that needs due attention. Therefore, it has been recommended to the company to take measures to solve and improve logistics activities
Configurational entropy as a bounding of Gauss-Bonnet braneworld models
Creators: name: Correa, R. A. C.
name: Moraes, P. H. R. S.
name: Dutra, A. de Souza
name: de Paula, W.
name: Frederico, T.
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Configurational entropy has been revealed as a reliable method for constraining some parameters of a given model [Phys. Rev. D \textbf{92} (2015) 126005, Eur. Phys. J. C \textbf{76} (2016) 100]. In this letter we calculate the configurational entropy in Gauss-Bonnet braneworld models. Our results restrict the range of acceptability of the Gauss-Bonnet scalar values. In this way, the information theoretical measure in Gauss-Bonnet scenarios opens a new window to probe situations where the additional parameters, responsible for the Gauss-Bonnet sector, are arbitrary. We also show that such an approach is very important in applications that include p and Dp-branes and various superstring-motivated theories.
Is the Universe Transparent?
Creators: name: Liao, Kai
name: Avgoustidis, A.
name: Li, Zhengxiang
Publisher: name: arXiv
Year: 2015
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We present our study on cosmic opacity, which relates to changes in photon number as photons travel from the source to the observer. Cosmic opacity may be caused by absorption/scattering due to matter in the universe, or by extragalactic magnetic fields that can turn photons into unobserved particles (e.g. light axions, chameleons, gravitons, Kaluza-Klein modes), and it is crucial to correctly interpret astronomical photometric measurements like type Ia supernovae observations. On the other hand, the expansion rate at different epochs, i.e. the observational Hubble parameter data $H(z)$, are obtained from differential ageing of passively evolving galaxies or from baryon acoustic oscillations and thus are not affected by cosmic opacity. In this work, we first construct opacity-free luminosity distances from $H(z)$ determinations, taking correlations between different redshifts into consideration for our error analysis. Moreover, we let the light-curve fitting parameters, accounting for distance estimation in type Ia supernovae observations, free to ensure that our analysis is authentically cosmological-model-independent and gives a robust result. Any non-zero residuals between these two kinds of luminosity distances can be deemed as an indication of the existence of cosmic opacity. While a transparent universe is currently consistent with the data, our results show that strong constraints on opacity (and consequently on physical mechanisms that could cause it) can be obtained in a cosmological-model-independent fashion.
description: 9 pages, 4 figures. Accepted for publication in PRD
Development of an online multilingual educational programme for parents of dual-career athletes: A participatory design
Creators: name: Capranica, Laura
name: Guidotti, Flavia
name: Gonçalves, Carlos
name: Blondel, Laurence
name: Bovis, Matteo
name: Costa, Rute
name: Debois, Nadine
name: Figueiredo, Antonio
name: MAC DONNCHA, CIARAN
name: Pecnikar-Oblak, Viktorija
name: Patoret, Jean-Luc
name: Pišl, Andrej
name: Rheinisch, Eoin
name: Rolo, Ana
name: Ryan, Gary
name: Templet, Anne
name: Tessitore, Antonio
name: Warrington, Giles
name: Doupona, Mojca
Publisher: name: University of Limerick
Year: 2023
Subjects: subject: Health sciences
subject: FOS: Health sciences
subject: Sports science and exercise

description: There is a need for educational support structures to empower parents in sustaining talented athletes pursuing academic and sports careers (e. g., dual career). The present work describes the participatory design used to develop a series of educational resources and the subsequent iterations used to evaluate the content of the EMPATIA online education programme for parents of dual-career athletes. Following an ethnographic approach, the project team (18 dual-career experts) engaged in four iterations (i.e., rounds) planned to develop (rounds 1 and 2) educational material from preliminary evidence (systematic literature review) and eminence (focus groups and concept mapping) knowledge and to evaluate the educational programme (round 3 and 4) engaging end users (n = 76) and other stakeholders (9 dual-career experts). The EMPATIA programme was developed and organized in four modules labeled after macro-aspects, parents could ask about dual career: “Why” (the definition and challenges of dual career for athletes and their parents), “What” (insights, guidelines, and suggestions on the parental role in support of student-athletes), “How” (practical advice on planning dual career at sports and academic levels, and post-sports careers), and “Where” (finding legal information or counseling on dual career). Despite overall positive evaluations of the programme, parents of dual-career athletes attributed higher scores with respect to those of dual-career experts. The participatory approach presented in this work enables developers to apply a systematic and multidisciplinary approach toward the creation of educational programmes for parents. The cooperation among dual-career researchers, experts from high-performance centers, Olympic bodies, sports clubs, and parents of elite student-athletes of different sports and nationalities created an educational programme suitable for end users to support parenting athletes in combining their sports and academic careers.
Data of Medical Devices and In Vitro Diagnosis (IVD) - I dati dei dispositivi medici e della In Vitro Diagnosis (IVD)
Creators: name: Pradella, Marco
Publisher: name: Zenodo
Year: 2023
Subjects: medical laboratory
digital data
ISO standard
CLSI documents
CEN standard

description: 8° CONGRESSO NAZIONALE SIPMeL, Dati, algoritmi e informazioni dalla Medicina di Laboratorio per il processo decisionale clinico, Riva del Garda, 9-11 Ottobre 2023 mercoledi’ 11/10/2023 09:45 – 10:30 Sessione parallela 13 a cura del Gruppo di Studio Management Sanitario-HTA, Risk e Comunicazione (GdS-MS), in collaborazione con il Gruppo di Studio Medicina di Genere (GdS-MdG) e il Gruppo di Studio Informatica (GdS-I) The clinician’s view of digital data management in the medical laboratory is undoubtedly more important for quality and patient safety than that of the laboratory itself. This is clear from international standards: European standards such as the International Patient Summary (IPS) and the Pharmacotherapy Decision Support System (CEN ISO/TS 22756:2020), alongside numerous international standards. The relevant ISO document families originated in the 1980s. The ISO Open Systems Interconnection (ISO-OSI) model is the basis for the standards on system interconnection. Attention was then directed to the functional content of interconnections, i.e. interoperability. ISO has provided standards for interoperability in various fields, such as drugs and various objects. CLSI recently published the document AUTO17, dedicated to semantic interoperability for in vitro diagnostic systems.
description: Extended presentation 27 slides
Universal amorphous-amorphous transition in GexSe1-x glasses under pressure
Creators: name: Yildirim, Can
name: Micoulaut, Matthieu
name: Boolchand, Punit
name: Kantor, Innokenty
name: Mathon, Olivier
name: Gaspard, Jean-Pierre
name: Irifune, Tetsuo
name: Raty, Jean-Yves
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Pressure induced structural modifications in vitreous Ge$_{x}$Se$_{100-x}$ (where 10 $\leq$ x $\leq$ 25)are investigated using X-ray absorption spectroscopy (XAS) along with supplementary X-ray diffraction (XRD) experiments and ab initio molecular dynamics (AIMD) simulations. Universal changes in distances and angle distributions are observed when scaled to reduced densities. All compositions are observed to remain amorphous under pressure values up to 42 GPa. The Ge-Se interatomic distances extracted from XAS data show a two-step response to the applied pressure; a gradual decrease followed by an increase at around 15-20 GPa, depending on the composition. This increase is attributed to the metallization event that can be traced with the red shift in Ge K edge energy which is also identified by the principal peak position of the structure factor. The densification mechanisms are studied in details by means of AIMD simulations and compared to the experimental results. The evolution of bond angle distributions, interatomic distances and coordination numbers are examined and lead to similar pressure-induced structural changes for any composition.
Advances in verification of ReLU neural networks
Creators: name: Rössig, Ansgar
name: Petkovic, Milena
Publisher: name: Technische Universität Berlin
Year: 2020
Subjects: subject: 500 Naturwissenschaften und Mathematik::510 Mathematik::510 Mathematik
subject: neural networks verification
subject: ReLU
subject: MIP

description: We consider the problem of verifying linear properties of neural networks. Despite their success in many classification and prediction tasks, neural networks may return unexpected results for certain inputs. This is highly problematic with respect to the application of neural networks for safety-critical tasks, e.g. in autonomous driving. We provide an overview of algorithmic approaches that aim to provide formal guarantees on the behaviour of neural networks. Moreover, we present new theoretical results with respect to the approximation of ReLU neural networks. On the other hand, we implement a solver for verification of ReLU neural networks which combines mixed integer programming with specialized branching and approximation techniques. To evaluate its performance, we conduct an extensive computational study. For that we use test instances based on the ACAS Xu system and the MNIST handwritten digit data set. The results indicate that our approach is very competitive with others, i.e. it outperforms the solvers of Bunel et al. (in: Bengio, Wallach, Larochelle, Grauman, Cesa-Bianchi, Garnett (eds) Advances in neural information processing systems (NIPS 2018), 2018) and Reluplex (Katz et al. in: Computer aided verification—29th international conference, CAV 2017, Heidelberg, Germany, July 24–28, 2017, Proceedings, 2017). In comparison to the solvers ReluVal (Wang et al. in: 27th USENIX security symposium (USENIX Security 18), USENIX Association, Baltimore, 2018a) and Neurify (Wang et al. in: 32nd Conference on neural information processing systems (NIPS), Montreal, 2018b), the number of necessary branchings is much smaller. Our solver is publicly available and able to solve the verification problem for instances which do not have independent bounds for each input neuron.
Seasonal variations in the amount of black carbon particles deposited on the leaf surfaces of nine Japanese urban greening tree species and their related factors
Creators: name: Takahashi, Kei
name: Ohta, Akari
name: Sase, Hiroyuki
name: Murao, Naoto
name: Takada, Keiichi
name: Yamaguchi, Masahiro
name: Nakaba, Satoshi
name: Watanabe, Makoto
name: Izuta, Takeshi
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biotechnology
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Plant Biology

description: As black carbon (BC) particles can be deposited on the leaf surfaces, urban greening is considered to be effective in purifying urban air. However, little information on the seasonal variations in the amount of BC particles deposited on the leaf surfaces (BC amount on the leaves) is available in Japanese urban greening tree species. Therefore, we investigated seasonal variations in the BC amount on the leaves of evergreen (Quercus glauca, Quercus myrsinaefolia, Osmanthus fragrans and Ilex rotunda) and deciduous (Zelkova serrata, Styrax japonica, Magnolia kobus, Cornus kousa and Cornus florida) broad-leaved tree species. The BC amount on the leaves tended to increase from April for different periods, and then reached a saturated state in the tree species, excluding M. kobus. In the 4 evergreen broad-leaved trees, the seasonal variation was positively correlated with the atmospheric concentration of BC particle. In the 5 deciduous broad-leaved trees, the seasonal variation was negatively and positively correlated with the water-repellence (water droplet contact angle) and the amount of epicuticular wax on the leaf surface, respectively. Therefore, the BC amounts on the leaves of evergreen and deciduous broad-leaved urban tree species are considered to be mainly regulated by environmental factors and leaf surface characteristics, respectively. This is the first paper that reports the seasonal variations in the amount of BC particles deposited on the leaves of Japanese urban greening tree species and their related factors such as environmental conditions and leaf surface characteristics. This study will provide the basic and novel information for the phytoremediation of urban air pollution induced by BC particles in Asia.
PV 2-State: A Simple but Accurate Short-Term PV Power Forecasting Tool
Creators: name: Paulescu, M.
name: Stefu, N.
name: Sabadus, A.
name: Dughir, C.
name: Bojin, 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; 1161-1164
description: This paper presents an innovative two-state model for short-term PV power forecasting (further identified as PV 2-state). The two states are differentiated by sunshine number, a binary quantity stating whether the Sun is shining or not. The model operates as follows: if the Sun is shining, the PV power is estimated using a realtime adjusted PV power clear-sky model; otherwise, the estimated clear-sky PV power is adjusted with the cloud transmittance. Sunshine number is the only physical quantity directly forecasted. Results of testing the PV two-state model highlight its ability to issue high-accurate forecasts. Each time the sunshine number is correctly predicted, the forecasts trace with accuracy the measurements. Due to the binary character of the sunshine number, its prediction is always a challenge. Even if a great effort was paid for increasing the accuracy in predicting sunshine number, further work is required.
Influences Of Television Advertisements On Consumer Purchase Intention: The Case Of Breweries In Addis Ababa
Creators: name: Tessema, Zergaw
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2019

description: Identifying and explaining advertising factors that influence consumers' purchase intention is very essential for every marketer. Thus, the purpose of this study is to highlight the influence of different contents of brewery advertisements on the consumer purchase intention for beer products in Addis Ababa. The research was conducted in two sub-cities in Addis Ababa. i.e Yeka and Bole sub-cities with the sample size of 384 respondents; out of which 328 valid questionnaires were collected and analyzed. The sample was selected by multi-stage sampling methods first taking two sub-cities from the ten sub-cities, and then taking two districts from several districts in the two sub-cities. Next, purposive sampling techniques were used to select hotels, restaurants and groceries from the two districts and responses of beer consumers were collected with the help of scaled questionnaires. Data analysis was carried out using SPSS version 21. The data were analyzed using descriptive statistics (frequency, percentage) and inferential statistics like correlation, multiple regressions and mediations. In order to study the influences of brewery advertisements on consumers' purchase intention, six main explanatory variables and three demographic variables were considered with appropriate dimensions. The major explanatory variables are Message content credibility, Source Credibility, Humor, Music, Consumers' Attitudes towards brewery advertisements and Message Repetition as independent variables, and Consumers' Purchase Intention of beer products as dependent variable. Demographic variables discussed in the research are Gender, Age, and Marital status of the respondents. The result of the study shows that advertising elements like Message Content Credibility, Source Credibility, and Consumers' Attitudes towards brewery advertisements have strong and significant influences on consumers' purchase intention. The rest seven explanatory variables (Music, Humor, Message Repetition, Marital status, Gender, Age and Marital Status) have insignificant influences. Eventually, the study recommended appropriate actions for brewery companies as a means of overcoming the intense competition that exist in the market. So doing, they can increase their sales volume and market share.
Cloud Height Estimation Using All Sky Imagers
Creators: name: Esteves, J.
name: Pestana, R.
name: Cao, Y.
name: Pinho Da Silva, N.
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; 1165-1169
description: The solar forecast research continues to increase in the academic and industry world to provide tools and methodologies with increasingly performances. The levels of penetration of this renewable energy source is growing and more optimized tools are needed in order manage the electrical grid in a proper and safe way. With the new electricity market designs reaching shorter gate closers, emphasizing the importance of forecast tools for solar energy. The use of all-sky imager (ASI) applied to the solar forecast is one approach being researched in the industry. The ASI images provide a bottom-up approach and in the case of renewable solar energy, it can assist the decision-making by allowing an almost-real time knowledge of the sky and cloudiness behavior. In this work, it is presented a methodology that allows to estimate the cloud height using two ASI installed in two neighborhood photovoltaic power plants.
Dynamical mechanisms leading to equilibration in two-component gases
Creators: name: De Bièvre, Stephan
name: Mejía-Monasterio, Carlos
name: Parris, Paul E.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Demonstrating how microscopic dynamics cause large systems to approach thermal equilibrium remains an elusive, longstanding, and actively-pursued goal of statistical mechanics. We identify here a dynamical mechanism for thermalization in a general class of two-component dynamical Lorentz gases, and prove that each component, even when maintained in a non-equilibrium state itself, can drive the other to a thermal state with a well-defined effective temperature.
description: 5 pages, 5 figures
The class of Lucas-Lehmer polynomials
Creators: name: Vellucci, Pierluigi
name: Bersani, Alberto Maria
Publisher: name: arXiv
Year: 2016
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 42C05, 33C05

description: In this paper we introduce a new sequence of polynomials, which follow the same recursive rule of the well-known Lucas-Lehmer integer sequence. We show the most important properties of this sequence, relating them to the Chebyshev polynomials of the first and second kind.
title: On the value of donkeys
Creators: name: Maggs, Heather
Publisher: name: University of Reading
Year: 2022

description: Donkeys provide important benefits for millions of people worldwide. Donkeys are under-researched 
in comparison to other species due to their negative representation in worldwide cultures and status as a 
poverty-indicator. The global donkey population is under pressure from growing demand for a Traditional 
Chinese Medicine made from donkey-skin. The complexities of donkeys’ value, determined using an 
economic anthropology focus, is changing rapidly in response to these new international forces. How 
donkeys underpin rural livelihood outcomes was evaluated through qualitative thematic analysis with 262 
participants in northern Ghana. Uniquely, boys and girls between the ages of 10–16-years old were also 
interviewed.
 Donkeys’ contributions to traditional rural livelihoods are significant and more complex than previously 
documented in the literature. Donkeys are highly valued by their owners, not only for their economic 
utility in providing a pathway out of ultra-poverty, but also for their socio-economic values in helping 
reduce drudgery and save time: enabling children to spend some of this time on schoolwork. Changing 
social norms are empowering girls especially, to negotiate fees and payments for hiring out the family 
donkey for male-orientated chores, thus gaining increasing agency and autonomy over their own 
finances. 
 The increasing focus on donkeys’ material products - meat and hides - is underpinning the rising use and exchange-values of donkeys, making donkeys unaffordable to many who express an interest in 
owning them. As a result, regional donkey populations are threatened and the discourse around donkeys 
is currently being re-framed. Since ~2017, donkeys are being promoted as an important economic 
solution to poverty through improving livelihoods. This non-decolonized, post-development narrative 
risks using poor people purely as vehicles to frame development achievements, largely renders donkey owners voiceless, and diverts attention from the iniquitous use of donkeys into the 21st century, a critical 
reflection on the global economy.
Assessing the Perceived Performance of Supply Chain Management - the Case of Two Brewery Companies in Addis Ababa
Creators: name: Asmamaw, Sintayehu
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2016

description: In this thesis, the researcher assessed the perceived performance of supply chain management in the case two brewery companies in Addis Ababa. The study focused on eight supply chain performance variables, integration with suppliers, integration with customers, ICT utilization in the supply chain management, supply chain reliability, supply chain responsiveness, supply chain agility, supply chain operational cost and inventory management Practice. The main objective of this paper is to get in-depth insight about the supply chain performance in the case breweries. The research strategy of this study is a multiple case study and the brewery companies were the unit of analysis. Moreover, the study included first tier local strategic suppliers and their first and second tier customers of the case breweries to ensure the reliability of the research output. The research design applied was mixed approach. The quantitative data was analysed using SPSS for descriptive statistics and the qualitative data was used to further explain the findings of the quantitative data. The finding of the study indicates that the downward supply chain is more reliable and flexible than the upstream supply chain. The supply chain operation of the case breweries was perceived high. The study also found the gap related to joint planning, forecasting and sharing of supply chain information of the case breweries with their suppliers and customers. This study also identified gaps in managing supply chain inventories in relation to visibility of the inventory status along the supply chain. In conclusion, the breweries focus on responsiveness and reliability with high operational cost. The case brewery companies collaborate with their chain partners only on limited areas. The level of trust is also minimal due to high completion with rivalries. Consequently, long term demand forecast or sales forecast are very rarely shared with channel partners. The inventory management practice also shows potential risk of holding overstock or understock due to lack of using standard inventory management tools consistently. The upstream supply chain is less reliable and flexible due to limited local suppliers' capacity as well as long import process than the downward supply chain and that the supply chain operational cost along the chain was considered high. Keywords: Supply Chain management performance in the brewery companies
Continuous integration in a social-coding world: Empirical evidence from GitHub. **Updated version with corrections**
Creators: name: Vasilescu, Bogdan
name: van Schuylenburg, Stef
name: Wulms, Jules
name: Serebrenik, Alexander
name: Brand, Mark G. J. van den
Publisher: name: arXiv
Year: 2015
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Continuous integration is a software engineering practice of frequently merging all developer working copies with a shared main branch, e.g., several times a day. With the advent of GitHub, a platform well known for its "social coding" features that aid collaboration and sharing, and currently the largest code host in the open source world, collaborative software development has never been more prominent. In GitHub development one can distinguish between two types of developer contributions to a project: direct ones, coming from a typically small group of developers with write access to the main project repository, and indirect ones, coming from developers who fork the main repository, update their copies locally, and submit pull requests for review and merger. In this paper we explore how GitHub developers use continuous integration as well as whether the contribution type (direct versus indirect) and different project characteristics (e.g., main programming language, or project age) are associated with the success of the automatic builds.
description: This is an updated and corrected version of our ICSME 2014 paper: http://dx.doi.org/10.1109/ICSME.2014.62
The Long-Term of the Albedo Stability under Different Weather Conditions
Creators: name: Suarez, S.
name: Ortega, E.
name: Jimeno, J.C.
name: Gutierrez, J.R.
name: Fano, V.
name: Rivas, J.M.
name: Navas, G.A.
name: Fernandez, I.
name: Rodríguez-Conde, 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; 1148-1151
description: Fluctuations at surface albedo measurements are widely known because of seasonality, weather, and heterogeneity on the ground, among others. Additionally, even some studies provide an analysis of cloud enhancement (CE) and albedo enhancement (AE) due to sky cloudy conditions. In this paper, we report about surface albedo longterm changes under different weather conditions compared to a clear sky reference dataset built up using two different measurement systems and two different soils. A good statistical relationship between cloudiness and surface albedo long term stability has been found. The final results exposed in this paper will help to optimize the duration and characteristics of the albedo measurement campaigns.
Characterization and Bioactivities of Sequentially-Prepared Sea Cucumber Ethanolic Extracts and Protein Hydrolysates
Creators: name: Dewi, Ariyanti S.
name: Arumia, Mei
name: Samodro, Dohan A.
name: Fajarningsih, Nurrahmi D.
name: Patantis, Gintung
name: Nursid, Muhammad
name: Batubara, Irmanida
name: Fawzya, Yusro N.
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Plant Biology

description: The sea cucumber ethanol extracts (SCEEs) and protein hydrolysates (SCPHs) of Holothuria atra(HA), H. leucospilota(HL), and Bohadschia marmorata (BM) were prepared sequentially using 60% ethanol and Neutrase. The SCEE of HL contained phenolic acids (4.63 ± 0.50 µg GAE/mg extract) and was the most potent radical scavenger (91.76 ± 0.76%) at 10 mg/mL; whereas its SCPH contained hydrophobic amino acids (31.25 g/100 g) and inhibited glycation by 86.16 ± 5.92% at 5 mg/mL. Furthermore, the SCEE of HA inhibited tyrosinase by 49.93 ± 0.27% at 10 mg/mL, related to sulfated saponins (121.82 ± 3.52 µg xylose/mg extract). This study reports SCEEs as antityrosinase and SCPHs as antiglycation agents for the first time.
Open-Source Geospatial Data Service with an Application in Irradiance Modelling for VIPV
Creators: name: Sovetkin, E.
name: Patel, N.
name: Gerber, A.
name: Pieters, B.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; 1152-1160
description: We present an open-source service, PV-GRIP (Photovoltaics Geographic Raster Image Processor), that provides unified access to multiple types of geospatial data and performs a series of computations relevant to photovoltaics (PV). PV-GRIP features distributed computation design and provides decentralised data storage facilitating sharing data and PV computations across the Internet. The necessity of such a tool is motivated by the growing range of PV applications where the local environment has a substantial influence on the performance of PV modules (e.g., building-integrated (BIPV) and vehicleintegrated photovoltaics PV (VIPV)). Hence, PV-GRIP collects various geospatial data; combining multiple geospatial data sources can improve yield simulations for those PV applications. Additionally, we introduce a Simple Sky Dome Projector (SSDP) C-library for modelling irradiance. It computes sky domes according to the Perez all-weather sky model and projects this sky on a tilted surface. Unlike similar libraries, in SSDP, sky parameters are easy to change, which allows to leverage accuracy and computation time. Paper demonstrates the utility of PV-GRIP service with an application in VIPV. The data provided by our service is used for irradiance modelling for a vehicle travelling in various areas in Germany.
The Practice of Hazardous Materials Transportation Management in Case Of Ethiopian Shipping and Logistics Service Enterprise
Creators: name: Berhanu, Dawit
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2016

description: azardous materials sometimes referred as hazmat have been defined in different ways in the past, for instance Hazardous Materials Cooperative Research Program defined it as substances that are flammable, explosive, or toxic or that, if released, produce effects that would threaten human safety, health, the environment, or property. The term often is mostly shortened to HAZMAT. Today, Hazmats are widely moved throughout the world by all modes of freight transportation, including ships, trucks, trains, airplanes, and pipelines. Following this, the safety, security, and environmental concerns associated with transportation of hazardous materials are growing in number and complexity. As Ethiopia is in development stage the need for these materials transportation will raise throughout the country, dalliance of unloading and loading due to lack of well-organized planning of machineries, manpower and poor communication with regard to truck arrival at the customer's warehouses were the major challenges for transportation sector especially for hazmat transportation service. Transportation hazmat has been left behind meanwhile it has great impact on the environment if it creates leakage; incident; explosion and others during movement to and from site to site. So this study has been conducted with the aim of assessing Practice and management of hazardous materials transportation in Ethiopian Shipping and Logistics Services Enterprise; with a descriptive research type. To do so questioners were developed and necessary data were collected from targeted group. Lack of appropriate truck with needed capacity, lack off efficient system to monitor and evaluate hazmat transportation and lack of attention from regulatory bodies are some major gaps observed in this study. Based on the findings to solve the problems the following recommendations has been forwarded; effective training program for existing staffs, implement controlling mechanism while shipments of hazmat are on loading & unloading and departmentalization & staffing to make the responsibility of each personnel clear & specific Key Words: - Hazardous Material, Transportation Management
Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD)
Creators: name: Khatibi, A.
name: Krauter, 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; 1141-1147
description: Access to precise meteorological data is crucial to be able to plan and install renewable energy systems such as solar power plants and wind farms. In case of solar energy, knowledge of local irradiance and air temperature values is very important. For this, various methods can be used such as installing local weather stations or using meteorological data from different organizations such as Meteonorm or official Deutscher Wetterdienst (DWD). An alternative is to use satellite reanalysis datasets provided by organizations like the National Aeronautics and Space Administration (NASA) and European Centre for Medium-Range Weather Forecasts (ECMWF). In this paper the “Modern-Era Retrospective analysis for Research and Applications” dataset version 2 (MERRA-2) will be presented, and its performance will be evaluated by comparing it to locally measured datasets provided by Meteonorm and DWD. The analysis shows very high correlation between MERRA-2 and local measurements (correlation coefficients of 0.99) for monthly global irradiance and air temperature values. The results prove the suitability of MERRA-2 data for applications requiring long historical data. Moreover, availability of MERRA-2 for the whole world with an acceptable resolution makes it a very valuable dataset.
Hydrological model calibration with uncertain discharge data
Creators: name: Westerberg, Ida K.
name: Sikorska-Senoner, Anna E.
name: Viviroli, Daniel
name: Vis, Marc
name: Seibert, Jan
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Plant Biology

description: Discharge data used to calibrate and evaluate hydrological models can be highly uncertain and this uncertainty affects the conclusions that we can draw from modelling results. We investigated the role of discharge data uncertainty and its representation in hydrological model calibration to give recommendations on methods to account for data uncertainty. We tested five different representations of discharge data uncertainty in calibrating the HBV-model for three Swiss catchments, ranging from using no information to using full empirical probability distributions for each time step. We developed a new objective function to include discharge data uncertainty, as quantified by these distributions directly in calibration to hydrological time series. This new objective function provided more reliable results than using no data uncertainty or multiple realizations of discharge time series. We recommend using the new objective function in combination with empirical or triangular distributions of the discharge data uncertainty.
Solar Irradiance Forecasting Using Numerical Weather Prediction Model and INSAT-3D Based Satellite Model
Creators: name: Masoom, A.
name: Bansal, A.
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; 1138-1140
description: The solar radiation received by India, 5000 trillion kWh in a year, is much greater than the total annual consumption of energy. This amount of available energy can be used to generate power through photovoltaic (PV) and concentrated solar power (CSP) applications. Solar radiation is dependent on the geography of the region along with azimuth and inclination angles, Sun-Earth position hour and atmospheric attenuations. Atmospheric barriers like clouds and aerosols can affect the radiation up to 70-80%. Solar radiation is subjected to reflection scattering and absorption by air molecules, clouds, and aerosols in the atmosphere. Clouds can block most of the direct radiation. Modern solar energy forecasting systems rely on real-time Earth observation from the satellite for detecting clouds and aerosols. Moreover, a complete utilization of the solar energy depends on its proper integration with power grids. However, the incorporation of solar based energy generation into electricity grids suffers technical challenges due to its variable nature. Hence, accurate and independent (from ground data) solar irradiance forecasting plays a crucial role in the grid integration of solar based generations. The poor resolution of the ground data of surface solar radiation presents the need to look into the satellite-based solar irradiance modeling. In the present study, a hybrid model based on numerical weather prediction and satellite model is presented for day-ahead irradiance forecasting.
Post Processing of Day-Ahead Solar Irradiance Forecast Using Satellite Derived Data in French Guiana
Creators: name: Macaire, J.
name: Salloum, M.
name: Bechet, J.
name: Zermani, S.
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; 1130-1133
description: The aim of this work is to improve day-ahead hourly Global horizontal irradiance (GHI) forecast from Weather Research and Forecasting (WRF) model using post-processing techniques trained with satellite estimates of hourly irradiance. Generally, post-processing techniques are trained with ground measures of the irradiance, however, in French Guiana, only 6 ground stations are available. To face this issue, we investigate the use of satellite-derived GHI data, which are available over the whole territory, instead of ground data to fit different post-processing techniques to correct the bias of WRF GHI forecasts. We compared two post-processing techniques, Artificial Neural Network and Support Vector Machine, both trained with ground-based solar irradiance data first, and then with satellite-derived solar irradiance data. We showed that post-processing techniques trained with satellite-derived data improved the accuracy of the model. The relative Root Mean Squared Error (rRMSE) and the relative Mean Bias Error (rMBE) decrease, respectively, from 48.69 % to between 40.85 and 41.81 % and from 19.14 % to between -1.52 and -8.76 %. We also showed that using satellite-derived data degrades only slightly the forecast accuracy compared to the techniques using ground data (around 1 % of difference for the rRMSE). Moreover, Support Vector Machine post- processing model overperformed the Artificial Neural Network model.
The Impact of Voucher Card Selling Service Outsourcing On Service Quality of Distributors A Case Study on Ethio telecom
Creators: name: Dadi, Fasika
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2016

description: Business process outsourcing has been rapidly growing during the past decade and today most companies outsource their product and service to sell through the indirect channel which helps to get additional sources of market share and revenue that normally are not attainable with direct sales. Apart from this Outsourcing brings quick and Quality of service to customers and quality service is a vital antecedent of customer's satisfaction which in turn customer satisfaction is believed to affect post-purchase, perception and future decisions of customers. The purpose of this research is to assess the impact of voucher card selling service outsourcing on service quality of distributors. The study covers all sub-distributors which distributes the voucher card getting from main distributors to retailers in Addis Ababa. To meet this objective, quantitative research strategy was adopted and quantitative data was collected from sub- distributors'. Descriptive statistics like frequency, mean and correlation analysis techniques were applied to analyze background information of respondents, to analyze respondents' perception on service delivery quality and satisfaction as well as relationship between service quality dimensions, overall service delivery quality and sub- distributors' satisfaction. In addition, regression analysis technique was undertaken to investigate the impacts of service quality dimensions on sub-distributors' satisfaction as well as to test the hypothesis developed. The finding of the study shows that sub- distributors are moderately satisfied on responsiveness, assurance and tangibility while they are dissatisfied on reliability and empathy of main distributors' when compare to other. In addition, the relationship between service quality dimensions and customer satisfaction was analyzed and the result shows all service quality dimensions have positive and significant relation with sub- distributors' satisfaction. The finding also shows that a positive relationship between overall service quality and sub-distributors' satisfaction which implies the higher the quality of overall service, the higher the level of sub-distributors' satisfaction. From this finding, it can be concluded that main distributors can improve its service by mostly focusing on reliability and empathy service quality dimensions and at the same time it can increase sub-distributors' satisfaction by focusing on overall service quality and important dimensions. Keywords: outsourcing, voucher card, main distributors, sub-distributors
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.
Fullerene graphs of small diameter
Creators: name: Nicodemos, Diego
name: Stehlík, Matěj
Publisher: name: arXiv
Year: 2016
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: A fullerene graph is a cubic bridgeless plane graph with only pentagonal and hexagonal faces. We exhibit an infinite family of fullerene graphs of diameter $\sqrt{4n/3}$, where $n$ is the number of vertices. This disproves a conjecture of Andova and Škrekovski [MATCH Commun. Math. Comput. Chem. 70 (2013) 205-220], who conjectured that every fullerene graph on $n$ vertices has diameter at least $\lfloor \sqrt{5n/3}\rfloor-1$.