cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Strategy as a matter of beliefs: the recorded music industry reinventing itself by rethinking itself
Creators: name: Mizzau, Lorenzo <1980>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2011
Subjects: SECS-P/08 Economia e gestione delle imprese

description: Managerial and organizational cognition studies the ways cognitions of managers in groups, organizations and industries shape their strategies and actions. Cognitions refer to simplified representations of managers’ internal and external environments, necessary to cope with the rich, ambiguous information requirements that characterize strategy making. Despite the important achievements in the field, many unresolved puzzles remain as to this process, particular as to the cognitive factors that condition actors in framing a response to a discontinuity, how actors can change their models in the face of a discontinuity, and the reciprocal relation between cognition and action. I leverage on the recent case of the recorded music industry in the face of the digital technology to study these issues, through a strategy-oriented study of the way early response to the discontinuity was constructed and of the subsequent evolution of this response. Through a longitudinal historical and cognitive analysis of actions and cognitions at both the industry and firm-level during the period in which the response took place (1999-2010), I gain important insights on the way historical beliefs in the industry shaped early response to the digital disruption, on the role of outsiders in promoting change through renewed vision about important issues, and on the reciprocal relationship between cognitive and strategic change.
ESM 4: Some additional comp results from Information overload for (bounded) rational agents
Creators: name: Pothos, Emmanuel M.
name: Lewandowsky, Stephan
name: Basieva, Irina
name: Barque-Duran, Albert
name: Tapper, Katy
name: Khrennikov, Andrei
Publisher: name: The Royal Society
Year: 2021
Subjects: subject: 60801 Animal Behaviour
subject: FOS: Biological sciences

description: The impact of sampling on the complexity comparisons.
Open string theory and planar algebras
Creators: name: Ceyhan, Ozgur
name: Marcolli, Matilde
Publisher: name: arXiv
Year: 2009
Subjects: subject: Quantum Algebra (math.QA)
subject: High Energy Physics - Theory (hep-th)
subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 14P25, 14N35, 81T30, 46L37

description: In this note we show that abstract planar algebras are algebras over the topological operad of moduli spaces of stable maps with Lagrangian boundary conditions, which in the case of the projective line are described in terms of real rational functions. These moduli spaces appear naturally in the formulation of open string theory on the projective line. We also show two geometric ways to obtain planar algebras from real algebraic geometry, one based on string topology and one on Gromov-Witten theory. In particular, through the well known relation between planar algebras and subfactors, these results establish a connection between open string theory, real algebraic geometry, and subfactors of von Neumann algebras.
description: 13 pages, LaTeX, 7 eps figures
The spatial distribution deviation and the power suppression of baryons from dark matter
Creators: name: Yang, Hua-Yu
name: Wang, Yun
name: He, Ping
name: Zhu, Weishan
name: Feng, Long-Long
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The spatial distribution between dark matter and baryonic matter of the Universe is biased or deviates from each other. In this work, by comparing the results derived from IllustrisTNG and WIGEON simulations, we find that many results obtained from TNG are similar to those from WIGEON data, but differences between the two simulations do exist. For the ratio of density power spectrum between dark matter and baryonic matter, as scales become smaller and smaller, the power spectra for baryons are increasingly suppressed for WIGEON simulations; while for TNG simulations, the suppression stops at $k=15-20h{\rm Mpc}^{-1}$, and the power spectrum ratios increase when $k>20h{\rm Mpc}^{-1}$. The suppression of power ratio for WIGEON is also redshift-dependent. From $z=1$ to $z=0$, the power ratio decreases from about 70% to less than 50% at $k=8h{\rm Mpc}^{-1}$. For TNG simulation, the suppression of power ratio is enhanced with decreasing redshifts in the scale range $k>4h{\rm Mpc}^{-1}$, but is nearly unchanged with redshifts in $k<4h{\rm Mpc}^{-1}$ These results indicate that turbulent heating can also have the consequence to suppress the power ratio between baryons and dark matter. Regarding the power suppression for TNG simulations as the norm, the power suppression by turbulence for WIGEON simulations is roughly estimated to be 45% at $k=2h{\rm Mpc}^{-1}$, and gradually increases to 69% at $k=8h{\rm Mpc}^{-1}$, indicating the impact of turbulence on the cosmic baryons are more significant on small scales.
"Crop elicitation": approccio innovativo per la valorizzazione delle proprietà funzionali in leguminose da granella
Creators: name: Bosi, Sara <1981>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2011
Subjects: AGR/02 Agronomia e coltivazioni erbacee

description: Crop elicitation: innovative approach for the valorization of grain legume functional properties.
In Italy grain legume cultivation has encountered a drastic decrease due to several causes (productive, economic, social). In this regard, studies aimed at the setting up of agronomic techniques able to guarantee high and constant in planta yields of health-promoting compounds may concur at re-launching legume production. In this context, 22 accessions of grain legumes (17 Phaseolus vulgaris, 3 Phaseolus coccineus, 1 Vigna unguiculata and 1 Glycine max genotypes) were screened with the aim of identifying genotypes rich in health beneficial phytochemicals (α-amylase inhibitors, α -glucosidase inhibitors, polyphenols) and with low anti-nutritional compounds (lectins). A wide variability was observed among investigated accessions. Four genotypes (Verdone, Kidney Cina, Roviotto and DG) showed a α -amylase inhibitory activity significantly higher (approximately 30% more) than all other tested accessions. The α -amylase inhibitory activity was not correlated neither with the protein nor with the polyphenol contents. Conversely, the α -glucosidase inhibitory activity was positively correlated with grain color and polyphenol content: dark-colored seeds had a mean inhibitory activity of 83.64 ± 22.07%, whereas light-colored seeds had mean values of 21.11 ± 9.36%. As regards the anti-nutritional compounds, out of all common bean accessions, only DG showed no erythro-agglutination activity (lectins).
Preliminary experiments, performed in controlled environment, permitted to highlight that different germination conditions markedly affect the synthesis and accumulation of functional compounds in legume seedlings. Those findings were confirmed with field trials performed in two different locations (Bologna and Pisa), on two bean genotypes (Verdone and Zolfino), during the 2004-2005 cropping season. Results showed that the application of abiotic stresses (no fertilization and /or no irrigation) lead to a significant increase of flavonoids in grains, but a decrease (up to 50%) in legume yields was also observed. Crop elicitation, even if valuable for boosting health-promoting compound synthesis in crops, must necessary cope with economically acceptable crop yields.
Graded decomposition numbers for cyclotomic Hecke algebras
Creators: name: Brundan, Jonathan
name: Kleshchev, Alexander
Publisher: name: arXiv
Year: 2009
Subjects: subject: Representation Theory (math.RT)
subject: FOS: Mathematics
subject: 20C08

description: In recent joint work with Wang, we have constructed graded Specht modules for cyclotomic Hecke algebras. In this article, we prove a graded version of the Lascoux-Leclerc-Thibon conjecture, describing the decomposition numbers of graded Specht modules over a field of characteristic zero.
description: 57 pages; final version
title: Association Learning Via Deep Neural Networks
Creators: name: Landeen, Trevor J.
Publisher: name: Utah State University
Year: 2018

description: Deep learning has been making headlines in recent years and is often portrayed as an emerging technology on a meteoric rise towards fully sentient artificial intelligence. In reality, deep learning is the most recent renaissance of a 70 year old technology and is far from possessing true intelligence. The renewed interest is motivated by recent successes in challenging problems, the accessibility made possible by hardware developments, and dataset availability.
The predecessor to deep learning, commonly known as the artificial neural network, is a computational network setup to mimic the biological neural structure found in brains. However, unlike human brains, artificial neural networks, in most cases cannot make inferences from one problem to another. As a result, developing an artificial neural network requires a large number of examples of desired behavior for a specific problem. Furthermore, developing an artificial neural network capable of solving the problem can take days, or even weeks, of computations.
Two specific problems addressed in this dissertation are both input association problems. One problem challenges a neural network to identify overlapping regions in images and is used to evaluate the ability of a neural network to learn associations between inputs of similar types. The other problem asks a neural network to identify which observed wireless signals originated from observed potential sources and is used to assess the ability of a neural network to learn associations between inputs of different types.
The neural network solutions to both problems introduced, discussed, and evaluated in this dissertation demonstrate deep learning’s applicability to problems which have previously attracted little attention.
title: ROTURA CALICIAL RENAL: Lo que el Urólogo quiere saber
Creators: name: González Díaz, Elba
Publisher: name: Sociedad Española de Radiología Médica
Year: 2014
Subjects: subject: Acute
subject: Obstruction / Occlusion
subject: Diagnostic procedure
subject: Ultrasound
subject: CT
subject: Kidney

description: Objetivo docente
Revisión del tema
Conclusiones
Bibliografía
description: Objetivo docente:
• Describir e ilustrar los hallazgos radiológicos que,
en el contexto clínico,
permiten un diagnóstico rápido y preciso de rotura calicial renal. • Revisar las causas y analizar posibles complicaciones asociadas a esta patología urgente....
title: Συστήματα διαχείρισης περιεχομένου ανοιχτού κώδικα για εκπαιδευτική μονάδα
title: Open source content management systems for education util
titleType: AlternativeTitle
Creators: name: Παππά, Γκλόρια
Publisher: name: Πανεπιστήμιο Δυτικής Αττικής
Year: 2023
Subjects: Συστήματα διαχείρισης περιεχομένου
CMS
Content management system
Wordpress
Σχεδιασμός ιστοσελίδας
Δευτεροβάθμια εκπαίδευση

description: Στόχος της εργασίας είναι η μελέτη των ιστοσελίδων των σχολείων και η δημιουργία μίας ιστοσελίδας σχολείου που υπάρχουν στο διαδίκτυο και η ανάπτυξη της ιστοσελίδας με τη χρήση του συστήματος διαχείρισης περιεχομένου WordPress. Πιο συγκεκριμένα, κάνω αναφορά για το τι είναι το WordPress και τα συστήματα διαχείρισης, μία έρευνα για το πως λειτουργούν οι ιστοσελίδες σήμερα των σχολείων αλλά και για το περιεχόμενο τους. Τέλος, θα παρουσιάσω τις λειτουργικές απαιτήσεις που μου δόθηκαν από το 3ο Γυμνάσιο Αργυρούπολης για τη σχεδίαση της ιστοσελίδας του σχολείου.
title: Silane Modulation of Protein Conformation and Self-Assembly
Creators: name: Giasuddin, Abul Bashar Mohammad
Publisher: name: Utah State University
Year: 2018

description: This research focused on development of nanoparticle- based therapeutics against amyloid fibrils. Amyloid fibrils are associated with various diseases such as Parkinson’s, Huntington’s, mad cow disease, Alzheimer’s, and cataracts. Amyloid fibrils develop when proteins change their shape from a native form to a pathogenic “misfolded” form. The misfolded proteins have the ability to recruit more native proteins into the pathogenic forms, which self-assemble into amyloid fibrils that are hallmarks of the various protein-misfolding diseases listed above. Amyloid fibrils are highly resistant to degradation, which may contribute to the symptoms of amyloid diseases. Synthetic drugs, natural compounds, and antibodies are widely explored for potential to stop pathogenic protein assembly or to promote fibril degradation and clearance, but to date have had little success in relieving symptoms in clinical trials. In this research, I have synthesized fluorine-containing silica nanoparticles (NPs), and tested their fibril-inhibiting activity against amyloid fibrils formed by a non-pathogenic protein, β-lactoglobulin (BLG). These fluoro-silica NPs prevented BLG amyloid formation, whereas non-fluorinated nanoparticle analogs did not inhibit fibrillation under the same reaction conditions. The fluoro-silica NPs interacted with the BLG protein in a manner that prevented the protein from adopting a form that could self-assemble into fibrils. Additional applications of the NPs were explored as small-molecule drug-delivery systems; such that multiple functionalities could be introduced into a single nano- therapeutic.
Role of electronic excitation on the anomalous magnetism of elemental Copper
Creators: name: Pal, Sudip
name: Sarkar, Sumit
name: Kumar, Kranti
name: Raghunathan, R.
name: Choudhary, R. J.
name: Banerjee, A.
name: Roy, S. B.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Magnetic susceptibility of elemental copper (Cu) shows an anomalous rise at low temperatures superimposed on the expected atypical diamagnetic response. Such temperature dependent susceptibility, which is also known as the Curie tail, can not be explained on the basis of Larmor diamagnetic and Pauli paramagnetic contributions expected in Cu. Using valence band resonant photoemission spectroscopy results and density functional theory calculations, we show the magnetic anomaly appears due to presence of holes in Cu 3d band, which originates from thermally excited electronic configuration. Our study therefore highlights that the Curie tail, which is generally overlooked presuming it either due to paramagnetic impurities or defects, can in fact be intrinsic to a material, and even simple systems like elemental Cu is susceptible to electronic excitations giving rise to anomalous magnetic state.
title: Characterization of Lactose Fatty Acid Esters for their Microbial Growth Inhibitory Activity and Emulsification Properties
Creators: name: Lee, Seung-Min
Publisher: name: Utah State University
Year: 2018

description: Sugar esters, substances made from bonding fatty acid tails to a sugar head, can play a number of key roles in food systems from antimicrobial agents to emulsifiers. These unique and very useful properties result from their water-loving and water-avoiding ends. Lactose, a sugar found in milk, based esters are important, as they are environmentally friendly and inexpensive, however, they are not very well understood. I created four different types of lactose esters: lactose monooctanoate (LMO), lactose monodecanoate (LMD), lactose monolaurate (LML) and lactose monomyristate (LMM), and then compared them to each other to see which would be the best emulsifier and which would be the best antimicrobial.
My previous studies showed that LML was inhibitory against Listeria monocytogenes a common food pathogen. This encouraged us to evaluated the microbial inhibitory (bacterial killing) properties of LMO, LMD, LMM, along with LML, specifically, the influence of the fatty acid chain length in each ester and how that influenced my results. The esters, in order of highest microbial inhibitory properties, were LML, LMD, LMM followed by LMO. LML was inhibitory against all the Gram- positive bacteria tested including Bacillus cereus, Mycobacterium KMS, Streptococcussuis, L. monocytogenes, Enterococcus faecalis, and Streptococcus mutans but not Gram-negative bacteria (Escherichia coli O157:H7).
Sugar esters are a large class of emulsifiers used in the food industry, and so my second research objective was to evaluate the influence of the fatty acid chain length on the emulsification properties of LMO, LMD, LML and LMM and compare them to each other and controls (Tween-20 and Ryoto L-1695) in a standard oil-in-water (O/W) emulsion. I did this by observing how long my emulsions lasted after mixing before they would start to separate. I also looked at the actual size of the oil drops in each of my emulsions, the smaller the oil drops remained, the better they stay in the emulsion and thus the more stable the emulsion. My results showed that the best emulsifier was LML, followed by LMD, LMM, and LMO, respectively. Therefore, my lactose esters contained both microbial inhibitory and emulsification activities.
L. monocytogenes is an infamous food pathogen and one of the largest sources of food-borne illness from dairy foods in the United States. Addition of LMD and LML previously were shown to have microbial inhibitory effects in my lab so I wanted to see how well they would work in a food: milk. In general, bacterial deaths in the LMD milk samples were great and many times greater than the LML samples. However, both were greatly affected by milk fat content and how warm each of the samples were kept. LMD may play a useful role in increasing the safety of some foods.
title: Three Essays in Economics of Prey-Predator Relation
Creators: name: Go, Dong-Hun
Publisher: name: Utah State University
Year: 2018

description: This dissertation explores how natural ecosystem can be integrated with economic system through two case studies of multiple species interactions, or predator-prey relations. By the inclusion of biological, ecological and economic aspects, the integrated approaches aim at more clearly understanding of how regional ecosystem and economy interact with each other, given threats of resource extinction and environmental shock. I also explain strategies and policy regimes that can be considered to achieve efficient and sustainable ecosystem management in those circumstances.
The first case study focuses on a predator-prey relation in the Pacific Ocean between the United States and Canada, where endangered/threatened predators feed primarily on commercially valuable species as prey. Accounting for the importance of those predators as critical natural resources for whale watching industry, this case study synthesizes the species biological and the regional economic systems, and analyzes possible management strategies for both ecosystem conservation and sustainable economic growth.
A long-term drought and fragmented management has been one of the critical issues in the Great Salt Lake (GSL) ecosystem that is linked with its regional economy in Utah. For this issue, the second case study builds an integrated model for describing how the lakes main natural resources, such as water, brine shrimp, and migratory birds, are related to primary industries in the region including agriculture, mining, fishery, and recreation. With the model framework, the study presents how the prolonged drought affects both the GSL ecosystem and its rigional economy, and suggests economic management strategies for the lakes ecosystem recovery in the presence of drought.
HEART DISEASE PREDICTION USING MACHINE LEARNING ALGORITHMS
Creators: name: Mythili Boopathi
name: Ayushi Priya
name: A Sangeetha
name: Yogeshwari Harode
Publisher: name: Zenodo
Year: 2024
Subjects: Heart Disease Prediction, Machine Learning Classification, Logistic Regression, Random Forest (RF), Decision tree (DT), Support Vector Machine (SVM).

description: Abstract

CVD(Cardio Vascular Disease) is a group of heart and blood vessel conditions. It persists as a global health predicament, making a substantial contribution to mortality rates on a worldwide scale. The identification of early signs and the evaluation of risks through the application of diverse Machine learning algorithms constitute pivotal aspects in the development of efficacious preventative measures. The objective of this study is to implement an reliable approach to detect and prevent symptoms of heart disease. We achieve this by considering risk factors such, as blood pressure, cholesterol levels, smoking habits, obesity, diabetes, family history and a sedentary lifestyle. In this research we explore machine learning algorithms. Assess the performance of the models by evaluating their effectiveness using metrics such, as accuracy, precision, recall and F1 score. The Kaggle dataset is employed to collect the necessary samples, subsequently undergoing a process of data preprocessing and optimization. The risk factors are employed as key features. The features extracted from the data are utilized to train the model, and based upon the resultant outcomes, the algorithms are able to make predictions regarding the presence of heart disease within the samples. The conclusions drawn from these findings are subsequently compared in order to determine the most effective algorithm.
KNOWLEDGE AND REPRESENTATION OF ENVIRONMENTAL EDUCATION AMONG HIGH SCHOOL STUDENTS IN MOROCCO
Creators: name: ABDERRAHMANE RIOUCH
name: SAAD BENAMAR
name: HALIMA EZZERI
name: NAJAT CHERQI
Publisher: name: Zenodo
Year: 2024
Subjects: Environmental Education, Environmental Clubs, Pollutant Knowledge, Morocco.

description: Abstract

This study addresses a significant gap in the literature on environmental education, which has predominantly focused on Western contexts, by exploring the impact of demographic factors such as gender, educational level, and the presence of environmental clubs on students' participation in environmental activities in Moroccan cities. The research provides critical insights into the unique challenges faced by students in Fez, Sefrou, and Tangier, regions that have been underrepresented in existing studies. The findings reveal that while girls are more engaged in environmental discussions, overall participation in activities remains low across all groups. Despite students demonstrating a reasonable understanding of key environmental components and pollutants, there are significant areas where further educational interventions are needed. Correlation analysis indicates weak relationships between club membership and active participation in environmental activities, suggesting that a club alone does not ensure student engagement. However, a moderate correlation between club involvement and discussions on environmental issues highlights the potential of these clubs to raise awareness. The weak link between discussions and specific pollutant knowledge suggests that these conversations overlook essential environmental topics. These findings underscore the need to strengthen environmental clubs, diversify activities, and promote deeper, more comprehensive discussions to enhance student engagement and awareness. This study contributes to the broader field by providing actionable recommendations for fostering more effective environmental education in non-Western contexts.
title: Universal Mobile Service Execution Framework for Device-To-Device Collaborations
Creators: name: Le, Minh
Publisher: name: Utah State University
Year: 2018

description: There are high demands of effective and high-performance of collaborations between mobile devices in the places where traditional Internet connections are unavailable, unreliable, or significantly overburdened, such as on a battlefield, disaster zones, isolated rural areas, or crowded public venues. To enable collaboration among the devices in opportunistic networks, code offloading and Remote Method Invocation are the two major mechanisms to ensure code portions of applications are successfully transmitted to and executed on the remote platforms. Although these domains are highly enjoyed in research for a decade, the limitations of multi-device connectivity, system error handling or cross platform compatibility prohibit these technologies from being broadly applied in the mobile industry.
To address the above problems, we designed and developed UMSEF - an Universal Mobile Service Execution Framework, which is an innovative and radical approach for mobile computing in opportunistic networks. Our solution is built as a component-based mobile middleware architecture that is flexible and adaptive with multiple network topologies, tolerant for network errors and compatible for multiple platforms. We provided an effective algorithm to estimate the resource availability of a device for higher performance and energy consumption and a novel platform for mobile remote method invocation based on declarative annotations over multi-group device networks. The experiments in reality exposes our approach not only achieve the better performance and energy consumption, but can be extended to large-scaled ubiquitous or IoT systems.
Collective Enhancement and Suppression of Excitation Decay in Optical Lattices
Creators: name: Zoubi, Hashem
name: Ritsch, Helmut
Publisher: name: arXiv
Year: 2009
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We calculate radiative lifetimes of collective electronic excitations of atoms in an infinite one dimensional lattice. The translational symmetry along the lattice restricts the photon wave vector component parallel to the lattice to the exciton wave number and thus the possible emission directions. The resulting radiation damping rate and emission pattern of the exciton strongly deviates from independent atom. For some wave numbers and polarizations the excitons superradiantly decay very fast, while other excitons show zero radiation damping rate and form propagating meta-stable excitations. Such states could be directly coupled via tailored evanescent fields from a nearby fiber.
description: 4 pages, 7 figures
A new paradigm for solar coronal heating
Creators: name: Vranjes, J.
name: Poedts, S.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The solar coronal heating problem refers to the question why the temperature of the Sun's corona is more than two orders of magnitude higher than that of its surface. Almost 70 years after the discovery, this puzzle is still one of the major challenges in astrophysics. The current basic paradigm of coronal heating is unable to explain all the observational features of the heating. Here we argue that a new paradigm is required to solve the puzzle in a self-consistent manner. The alternative approach is based on the kinetic theory of drift waves. We show, with qualitative and quantitative arguments, that the drift waves have the potential to satisfy all coronal heating requirements.
title: Assessing the Effects of Local Turbulence and Velocity Profiles on Electromagnetic Flow Meter Accuracy
Creators: name: Beck, Kade J.
Publisher: name: Utah State University
Year: 2018

description: The purpose of this research was to assess the effects of local turbulence and velocity profiles on electromagnetic (magnetic) flow meters. According to the American Water Works Association, “No tool available to water utilities has played a greater part in the conservation of water than the water meter (AWWA 2002).” Consequently, it is imperative to understand what variables may influence magnetic flow meter accuracy.
Even though other researchers have explored the effects of turbulence profile development on orifice plates, the literature is not clear how magnetic flow meters respond to the effect of local turbulence. Accordingly, this study investigated the effects of local turbulence and velocity profiles on magnetic flow meter accuracy.
Using five magnetic flow meters from five different manufacturers, laboratory tests were conducted with a CPA 65E flow conditioner located at different distances upstream of the meter. Numerical modeling using commercially available computational fluid dynamics software indicated that the deviations in flow meter accuracy were not proportional to the levels of local turbulence. It appears that magnetic flow meters may only be influenced by local turbulence to the degree that the upstream disturbance that distorts the velocity profile also increases local turbulence.
Parton-Hadron-String Dynamics: an off-shell transport approach for relativistic energies
Creators: name: Cassing, W.
name: Bratkovskaya, E. L.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The dynamics of partons, hadrons and strings in relativistic nucleus-nucleus collisions is analyzed within the novel Parton-Hadron-String Dynamics (PHSD) transport approach, which is applied to Pb+Pb collisions from 20 to 160 A GeV in order to explore the space-time regions of 'partonic matter'. We find that even central collisions at the top-SPS energy of 158 A GeV show a large fraction of non-partonic, i.e. hadronic or string-like matter, which can be viewed as a hadronic corona. Furthermore, we observe that the partonic phase has a very low impact on rapidity distributions of hadrons but a sizeable influence on the transverse mass distribution of final kaons due to the repulsive partonic mean fields. We also find a significant effect on the production of multi-strange antibaryons due to a slightly enhanced $s{\bar s}$ pair production in the partonic phase from massive time-like gluon decay and a larger formation of antibaryons in the hadronization process. All differential hadron spectra are analyzed in comparison to the data of experimental collaborations.
description: 33 pages, 23 figures, submitted to Nulc. Phys. A
Deriving Ontologies from XML Schema
Creators: name: Bedini, Ivan
name: Gardarin, Georges
name: Nguyen, Benjamin
Publisher: name: arXiv
Year: 2010
Subjects: subject: Programming Languages (cs.PL)
subject: Databases (cs.DB)
subject: FOS: Computer and information sciences
subject: D.3.3

description: In this paper, we present a method and a tool for deriving a skeleton of an ontology from XML schema files. We first recall what an is ontology and its relationships with XML schemas. Next, we focus on ontology building methodology and associated tool requirements. Then, we introduce Janus, a tool for building an ontology from various XML schemas in a given domain. We summarize the main features of Janus and illustrate its functionalities through a simple example. Finally, we compare our approach to other existing ontology building tools.
Both accurate and precise gf-values for FeII lines
Creators: name: Melendez, Jorge
name: Barbuy, Beatriz
Publisher: name: arXiv
Year: 2009
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: We present a new set of oscillator strengths for 142 FeII lines in the wavelength range 4000-8000 A. Our gf-values are both accurate and precise, because each multiplet was globally normalized using laboratory data (accuracy), while the relative gf-values of individual lines within a given multiplet were obtained from theoretical calculations (precision). Our line list was tested with the Sun and high-resolution (R ~ 10^5), high-S/N (~700-900) Keck+HIRES spectra of the metal-poor stars HD 148816 and HD 140283, for which line-to-line scatter (sigma) in the iron abundances from FeII lines as low as 0.03, 0.04, and 0.05 dex are found, respectively. For these three stars the standard error in the mean iron abundance from FeII lines is negligible (sigma_mean <= 0.01 dex). The mean solar iron abundance obtained using our gf-values and different model atmospheres is A_Fe = 7.45 (sigma = 0.02).
description: Updated to conform to the published version. Typo (kindly informed by C. R. Cowley) in the wavelength of one FeII line (4278.159 instead of 4278.759) has been corrected
Two temperature accretion around rotating black holes: Description of general advective flow paradigm in presence of various cooling processes to explain low to high luminous sources
Creators: name: Rajesh, S. R.
name: Mukhopadhyay, Banibrata
Publisher: name: arXiv
Year: 2009
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We investigate the viscous two temperature accretion discs around rotating black holes. We describe the global solution of accretion flows with a sub-Keplerian angular momentum profile, by solving the underlying conservation equations including explicit cooling processes selfconsistently. Bremsstrahlung, synchrotron and inverse Comptonization of soft photons are considered as possible cooling mechanisms, for sub-Eddington, Eddington and super-Eddington mass accretion rates around Schwarzschild and Kerr black holes with a Kerr parameter 0.998. It is found that the flow, during its infall from the Keplerian to sub-Keplerian transition region to the black hole event horizon, passes through various phases of advection -- general advective paradigm to radiatively inefficient phase and vice versa. Hence the flow governs much lower electron temperature ~10^8-10^{9.5} K, in the range of accretion rate in Eddington units 0.01
description: 25 pages including 22 figures; to appear in MNRAS
title: Accuracy of Residential Water Meters in Response to Short, Intermittent Flows
Creators: name: Chadwick, John R.
Publisher: name: Utah State University
Year: 2018

description: In this study, water meter accuracy in response to short, intermittent flows was tested. Burst flows have short durations (a few seconds or less), and occur at a variety of flow rates. For some types of meters, it is difficult to accurately measure short, intermittent flow rates. Depending on the meter type, an intermittent flow can result in either under-registering or over-registering of the actual throughput.
During the testing for this research, water was passed through meters for various time combinations, test setups, and flows. It should be understood that realistically, a household setting will not see burst flows occurring in a repeated manner. For the purposes of laboratory testing, however, time-on and condensed time-off combinations were used. The reduced time off allowed for a controlled test procedure and efficient data collection.
Ultrasonic, electromagnetic, nutating disc, and oscillating piston meters were tested. The meter types were found to perform differently under the varying test setups, time combinations, and flow rates. The electromagnetic meters were generally unaffected by burst flows. Burst flows caused one of the ultrasonic meter models to have decreased accuracies, while the other model remained mostly unaffected. Nutating disc and oscillating piston meters were generally affected by burst flows only at the lowest flow.
LEADERSHIP, GOVERNMENT EMPLOYEES EMPOWERMENT, SOCIAL SUPPORT AND GOVERNMENT EMPLOYEES PERFORMANCE AT HOSPITAL BLU TANDUALE BOMBANA REGENCY SOUTH EAST SULAWESI INDONESIA
Creators: name: Hayami
name: Nurwati
name: Nani Yuniar
name: Endro Sukotjo
Publisher: name: Zenodo
Year: 2024
Subjects: Leadership, Government Employees, Empowerment, Social Support and Performance.

description: Abstract

The aims of the research is to examine the influence of leadership on the performance of government employees through empowerment of government employees and social support on the performance of government employees. The total popuation is 88 people, determination of the sample using the census technique. Methods of data collection using a statement list, with a Likert scale. The result of this research are 1) the leadership had positip and significant effect on government employees empowerment, 2) the leadership had positip significant on social suport, 3) The leadership had positip significant on government employees performance, 4) the government employees empowerment had positip significant on gevernment employees performance, 5) the social suport had positip but not significant on the government employees performent, 6) social suport can’t plays a role mediating the effect of leadership on government employees performance, 7) the government employees empowerment plays role in mediating the effect of leadership on government employees performance.
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation
Creators: name: Mokander, Jakob
name: Axente, Maria
name: Casolari, Federico
name: Floridi, Luciano
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computers and Society (cs.CY)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences
subject: K.5; K.4; K.7

description: The proposed European Artificial Intelligence Act (AIA) is the first attempt to elaborate a general legal framework for AI carried out by any major global economy. As such, the AIA is likely to become a point of reference in the larger discourse on how AI systems can (and should) be regulated. In this article, we describe and discuss the two primary enforcement mechanisms proposed in the AIA: the conformity assessments that providers of high-risk AI systems are expected to conduct, and the post-market monitoring plans that providers must establish to document the performance of high-risk AI systems throughout their lifetimes. We argue that AIA can be interpreted as a proposal to establish a Europe-wide ecosystem for conducting AI auditing, albeit in other words. Our analysis offers two main contributions. First, by describing the enforcement mechanisms included in the AIA in terminology borrowed from existing literature on AI auditing, we help providers of AI systems understand how they can prove adherence to the requirements set out in the AIA in practice. Second, by examining the AIA from an auditing perspective, we seek to provide transferable lessons from previous research about how to refine further the regulatory approach outlined in the AIA. We conclude by highlighting seven aspects of the AIA where amendments (or simply clarifications) would be helpful. These include, above all, the need to translate vague concepts into verifiable criteria and to strengthen the institutional safeguards concerning conformity assessments based on internal checks.
description: Artificial intelligence, Auditing, Certification, Conformity assessment, European Union, Governance, Regulation, Technology
title: Foraging Behavior, Taxonomy, and Morphology of Bees (Hymenoptera: Apoidea), with an Emphasis on Perdita (Hymenoptera: Andrenidae)
Creators: name: Portman, Zachary M
Publisher: name: Utah State University
Year: 2018

description: Bees are the most important pollinators of flowering plants and are necessary for pollinating both wild plants and many of the crops that produce the food we eat. There are many different species of bees, with about 20,000 species worldwide and 4,000 species in the United States. Even though bees are important pollinators, there is still much we do not know about how many species there are and their biology. In order to better understand the species and their biology, I performed three projects that help fill these gaps by reviewing the species of a poorly known bee group, examining the different ways bees carry pollen, and then reviewing how bees gather pollen from flowers. To better understand bee diversity, I examined a group of species in the subgenus Heteroperdita in the genus Perdita (Andrenidae). I described nine species that were new to science, found the opposite sex of three species, and found that one species was a duplicate of a previously described species. This work increased the number of species in Heteroperdita to 22 and increased the number of species in the genus Perdita to 636. I then explored how pollen is carried back to the nest in two distantly-related bee groups, the genera Perdita and Hesperapis (Melittidae). I found that different species can carry pollen in one of three different ways: moist, dry, or glazed. Interestingly, how the bees carry pollen appears to depend on the shape and stickiness of the pollen grains that the bees prefer. I then reviewed how bees gather pollen from flowers. I combined previous research and my own observations of bees to classify the different pollen gathering behaviors into seven different types. I then examined why bees use different pollen gathering behaviors and provided a set terminology to refer to each behavior. Overall, this dissertation advances our knowledge of the diversity of bees and their relationships with flowers, which will support efforts to understand and conserve these important pollinators.
title: Geometric Algorithms for Intervals and Related Problems
Creators: name: Li, Shimin
Publisher: name: Utah State University
Year: 2018

description: In this dissertation, we study several problems related to intervals and develop efficient algorithms for them. Interval problems have many applications in reality because many objects, values, and ranges are intervals in nature, such as time intervals, distances, line segments, probabilities, etc. Problems on intervals are gaining attention also because intervals are among the most basic geometric objects, and for the same reason, computational geometry techniques find useful for attacking these problems. Specifically, the problems we study in this dissertation includes the following: balanced splitting on weighted intervals, minimizing the movements of spreading points, dispersing points on intervals, multiple barrier coverage, and separating overlapped intervals on a line. We develop efficient algorithms for these problems and our results are either first known solutions or improve the previous work.
In the problem of balanced splitting on weighted intervals, we are given a set of n intervals with non-negative weights on a line and an integer k ≥ 1. The goal is to find k points to partition the line into k + 1 segments, such that the maximum sum of the interval weights in these segments is minimized. We give an algorithm that solves the problem in O(n log n) time. Our second problem is on minimizing the movements of spreading points. In this problem, we are given a set of points on a line and we want to spread the points on the line so that the minimum pairwise distance of all points is no smaller than a given value δ. The objective is to minimize the maximum moving distance of all points. We solve the problem in O(n) time. We also solve the cycle version of the problem in linear time. For the third problem, we are given a set of n non-overlapping intervals on a line and we want to place a point on each interval so that the minimum pairwise distance of all points are maximized. We present an O(n) time algorithm for the problem. We also solve its cycle version in O(n) time. The fourth problem is on multiple barrier coverage, where we are given n sensors in the plane and m barriers (represented by intervals) on a line. The goal is to move the sensors onto the line to cover all the barriers such that the maximum moving distance of all sensors is minimized. Our algorithm for the problem runs in O(n2 log n log log n + nm log m) time. In a special case where the sensors are all initially on the line, our algorithm runs in O((n + m) log(n + m)) time. Finally, for the problem of separating overlapped intervals, we have a set of n intervals (possibly overlapped) on a line and we want to move them along the line so that no two intervals properly intersect. The objective is to minimize the maximum moving distance of all intervals. We propose an O(n log n) time algorithm for the problem.
The algorithms and techniques developed in this dissertation are quite basic and fundamental, so they might be useful for solving other related problems on intervals as well.
Ευπαθείς κοινωνικές ομάδες – Η περίπτωση των μονογονεϊκών οικογενειών
Creators: name: Πανταζή, Φανή
Publisher: name: Πανεπιστήμιο Πελοποννήσου
Year: 2023
Subjects: subject: Μονογονεϊκές οικογένειες -- Ελλάδα
subject: Οικογενειακή πολιτική -- Ελλάδα
subject: Κοινωνική πολιτική -- Ελλάδα
subject: Περιθωριοποίηση, Κοινωνική -- Ελλάδα
subject: Κοινωνικός αποκλεισμός -- Ελλάδα
subject: Κράτος πρόνοιας -- Ελλάδα
subject: Κοινωνική πολιτική
subject: Ευπαθείς ομάδες πληθυσμού
subject: Θεσμός της οικογένειας και η περίπτωση των μονογονεϊκών οικογενειών
subject: Social policy
subject: Vulnerable groups of population
subject: The institution of the family and the case of single parenthood

description: Αριθμός Εισαγωγής: 013664
description: Στην παρούσα διπλωματική εργασία έγινε προσπάθεια να αποσαφηνιστεί εννοιολογικά η κοινωνική πολιτική, οι ευπαθείς ομάδες πληθυσμού και ο θεσμός της οικογένειας και δόθηκε έμφαση στην περίπτωση των μονογονεϊκών οικογενειών. Αφού προηγήθηκε η βιβλιογραφική ανασκόπηση, πραγματοποιήθηκε ποιοτική έρευνα με τη χρήση ημιδομημένων συνεντεύξεων σε 10 γυναίκες-αρχηγούς μονογονεϊκών οικογενειών. Διερευνήθηκαν τα αίτια της μονογονεϊκότητας, τα προβλήματα που αντιμετωπίζουν και η υποστήριξη που λαμβάνουν από τους θεσμούς της πολιτείας, αλλά και από το περιβάλλον τους. Από τα αποτελέσματα της έρευνας προέκυψε ότι το πιο σημαντικό πρόβλημα που εντοπίζεται είναι κυρίως το οικονομικό, τα ελλιπή μέτρα στήριξης, τα εργασιακά ζητήματα, τα προβλήματα ψυχολογικής φύσεως, ο περιορισμός του ελεύθερου χρόνου και η προκατάληψη σε ορισμένες περιπτώσεις. Η παρουσία του πατέρα στην ανατροφή των παιδιών χαρακτηρίζεται ως τυπική και αποστασιοποιημένη. Τέλος, επισημαίνεται η έλλειψη του κράτους πρόνοιας, η οποία στην πλειοψηφία των περιπτώσεων καλύπτεται από άτυπους θεσμούς (οικογένεια και φιλικό περιβάλλον).
The Evolving Causal Structure of Equity Risk Factors
Creators: name: D'Acunto, Gabriele
name: Bajardi, Paolo
name: Bonchi, Francesco
name: Morales, Gianmarco De Francisci
Publisher: name: arXiv
Year: 2021
Subjects: subject: Statistical Finance (q-fin.ST)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: FOS: Economics and business
subject: FOS: Computer and information sciences

description: In recent years, multi-factor strategies have gained increasing popularity in the financial industry, as they allow investors to have a better understanding of the risk drivers underlying their portfolios. Moreover, such strategies promise to promote diversification and thus limit losses in times of financial turmoil. However, recent studies have reported a significant level of redundancy between these factors, which might enhance risk contagion among multi-factor portfolios during financial crises. Therefore, it is of fundamental importance to better understand the relationships among factors. Empowered by recent advances in causal structure learning methods, this paper presents a study of the causal structure of financial risk factors and its evolution over time. In particular, the data we analyze covers 11 risk factors concerning the US equity market, spanning a period of 29 years at daily frequency. Our results show a statistically significant sparsifying trend of the underlying causal structure. However, this trend breaks down during periods of financial stress, in which we can observe a densification of the causal network driven by a growth of the out-degree of the market factor node. Finally, we present a comparison with the analysis of factors cross-correlations, which further confirms the importance of causal analysis for gaining deeper insights in the dynamics of the factor system, particularly during economic downturns. Our findings are especially significant from a risk-management perspective. They link the evolution of the causal structure of equity risk factors with market volatility and a worsening macroeconomic environment, and show that, in times of financial crisis, exposure to different factors boils down to exposure to the market risk factor.