cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Enhancing semantic expressivity in the cultural heritage domain: exposing the Zeri Photo Archive as Linked Open Data
Creators: name: Daquino, Marilena
name: Mambelli, Francesca
name: Peroni, Silvio
name: Tomasi, Francesca
name: Vitali, Fabio
Publisher: name: arXiv
Year: 2016
Subjects: subject: Digital Libraries (cs.DL)
subject: FOS: Computer and information sciences

description: Describing cultural heritage objects from the perspective of Linked Open Data (LOD) is not a trivial task. The process often requires not only choosing pertinent ontologies, but also developing new models that preserve the most information and express the semantic power of cultural heritage data. Indeed, data managed in archives, libraries and museums are complex objects themselves, which require a deep reflection on even non-conventional conceptual models. Starting from these considerations, this paper describes a research project: to expose the vastness of one of the most important collections of European cultural heritage, the Zeri Photo Archive, as Linked Open Data. We describe here the steps we undertook to this end: firstly, we developed two ad hoc ontologies for describing all the issues not completely covered by existent models (the F Entry and the OA Entry Ontology); then we mapped into RDF the descriptive elements used in the current Zeri Photo Archive catalog, converting into CIDOC-CRM and into the two new aforementioned models the source data based on the Italian content standards Scheda F (Photography Entry, in English) and Scheda OA (Work of Art Entry, in English); and finally, we created an RDF dataset of the output of the mapping that could show a result capable of demonstrating the complexity of our scenario.
description: 25 pages, 4 figures, journal article
A Rn-220 source for the calibration of low-background experiments
Creators: name: Lang, Rafael F.
name: Brown, Andrew
name: Brown, Ethan
name: Cervantes, Mayra
name: Macmullin, Sean
name: Masson, Darryl
name: Schreiner, Jochen
name: Simgen, Hardy
Publisher: name: arXiv
Year: 2016
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: We characterize two 40 kBq sources of electrodeposited Th-228 for use in low-background experiments. The sources efficiently emanate Rn-220, a noble gas that can diffuse in a detector volume. Rn-220 and its daughter isotopes produce alpha, beta, and gamma-radiation, which may used to calibrate a variety of detector responses and features, before decaying completely in only a few days. We perform various tests to place limits on the release of other long-lived isotopes. In particular, we find an emanation of <0.008 atoms/min/kBq (90% CL) for Th-228 and 1.53 atoms/min/kBq for Ra-224. The sources lend themselves in particular to the calibration of detectors employing liquid noble elements such as argon and xenon. With the source mounted in a noble gas system, we demonstrate that filters are highly efficient in reducing the activity of these longer-lived isotopes further. We thus confirm the suitability of these sources even for use in next-generation experiments, such as XENON1T/XENONnT, LZ, and nEXO.
description: 15 pages, 9 figures
Evaluation Emerging PV Performance under Energy Harvesting for IOT (Internet of Things) Applications
Creators: name: Long, Y.-S.
name: Wang, E.-Y.
name: Hsieh, C.-F.
name: Wu, T.-C.
Publisher: name: WIP
Year: 2018
Subjects: Non Silicon-Based Thin Film Photovoltaics
Perovskite, Organic and Dye-Sensitised Devices

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 907-911
description: The measured I-V hysteresis is complicated by the vast array of different materials, lighting sources, and device architectures. In our study, we used RTOS method for I-V then the results showed better accuracy by eliminating in real time the acceptance effect. We also used this method to compare emerging PV cells with the latter cells exhibited promising power conversion efficiency and no hysteresis behavior under indoor lighting simulator. In this study, we defined a performance ratio to compare between indoor lighting and solar and the results will be show different performance trend for the different type PV in indoor/outdoor, which depends on device. That’s will be shown what’s type PV have the application of energy harvesting for indoor.
Zum Endothelinsystem im Morris-Hepatom-7777-Behandlung mit Endothelinrezptorantagonisten in vitro und in vivo
Creators: name: Pfab, Thiemo
Publisher: name: Humboldt-Universität zu Berlin, Medizinische Fakultät - Universitätsklinikum Charité
Year: 2000
Subjects: subject: Endothelin
subject: Rezeptorantagonist
subject: LU 302872
subject: Wachstumshemmung
subject: endothelin
subject: receptorantagonist
subject: growth inhibition
subject: 610 Medizin
subject: 33 Medizin
subject: XH 7400

description: Das Peptid Endothelin-1 (ET-1) hat neben seiner vasokonstriktorischen Wirkung auch wachstumsinduzierende Eigenschaften. Um seine Bedeutung für Tumorwachstum zu untersuchen wurde das ET-System des experimentellen Lebertumors Morris-Hepatom (MH)-7777 in vitro und in vivo zunächst charakterisiert. Erstmals wurde dann versucht, Tumorwachstum auch in vivo durch Behandlung mit einem ET-Rezeptorantagonisten zu inhibieren. METHODEN: Im Kulturüberstand von MH-7777-Zellen wurde die Menge des synthetisierten irET-1 gemessen. Über Proliferationsassays erfolgte die Untersuchung des Zellwachstums bei Inkubation mit ET-1 sowie den ET-Rezeptorantagonisten BQ 123, LU 135252 und LU 302872. Zur Charakterisierung des ET-Systems im MH-7777 in vivo wurden ir(Big-)ET-1-Plasma- und Gewebekonzentrationen bestimmt. Die Messung der ET-Rezeptordichte und der Rezeptoraffinität erfolgte in Scatchard-Rezeptor-Bindungsstudien. Die Hälfte einer Gruppe von 44 hepatomtagenden Buffaloratten wurde über 28 Tage mit dem kombinierten ETA/B-Rezeptorantagonisten LU 302872 behandelt (orale Applikation). DIE ERGEBNISSE zeigen eine endogene irET-1-Produktion der MH-7777-Zellen. Exogene ET-1-Stimulation der Zellen bewirkt eine signifikante Proliferationssteigerung. Die Proliferationshemmung durch die beiden ETA-Rezeptorantagonisten ist schwächer ausgeprägt als die in zwei verschiedenen Proliferationsassays bestätigte Hemmung (p
description: The peptide endothelin-1 (ET-1) has growth-promoting properties besides its vasopressor characteristic. In order to gain information about its importance for tumor growth the ET system of the experimental liver tumor Morris hepatoma (MH)-7777 was characterized in vitro and in vivo. For the first time it was then tried to inhibit tumor growth in vivo by treatment with an ET receptor antagonist. METHODS: The endogenously produced immunoreactive (ir) ET-1 was quantified in the supernatant of MH-7777 cells. Cell growth at incubation with different concentrations of ET-1 and the ET receptor antagonists BQ 123, LU 135252 and LU 302872 was evaluated performing cell proliferation assays. In order to characterize the ET system in MH-7777 in vivo ir(big-)ET-1 concentrations were determined in plasma and tissue. ET receptor density and affinity in hepatoma was determined performing Scatchard receptor binding assays. Half of 44 hepatoma-bearing Buffalo rats received the combined ETA/B receptor antagonist LU 302872 for 28 days orally. THE RESULTS show an endogenous irET-1 production by MH-7777 cells. Exogenous ET-1 stimulation causes a significant increase in cell proliferation. Growth inhibitory action of ETA-receptor antagonists is not as strong as the inhibition (p
Every meromorphic function is the Gauss map of a conformal minimal surface
Creators: name: Alarcon, Antonio
name: Forstneric, Franc
name: Lopez, Francisco J.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Differential Geometry (math.DG)
subject: Complex Variables (math.CV)
subject: FOS: Mathematics

description: Let $M$ be an open Riemann surface. We prove that every meromorphic function on $M$ is the complex Gauss map of a conformal minimal immersion $M\to\mathbb{R}^3$ which may furthermore be chosen as the real part of a holomorphic null curve $M\to\mathbb{C}^3$. Analogous results are proved for conformal minimal immersions $M\to\mathbb{R}^n$ for any $n>3$. We also show that every conformal minimal immersion $M\to\mathbb{R}^n$ is isotopic through conformal minimal immersions $M\to\mathbb{R}^n$ to a flat one, and we identify the path connected components of the space of all conformal minimal immersions $M\to\mathbb{R}^n$ for any $n\ge 3$.
description: J. Geom. Anal., to appear. Available on SpringerLink: https://link.springer.com/article/10.1007%2Fs12220-017-9948-3
Towards the Mass Production of High Efficiency Passivated Contacts n-Type PERT Solar Cells
Creators: name: Martel, B.
name: Yang, J.
name: Loretz, J.C.
name: Tran, S.
name: Blevin, T.
name: Bouet, C.
Publisher: name: WIP
Year: 2018
Subjects: Silicon Cells
Manufacturing & Production of Si Cells

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 832-834
description: In this work, we intent to elaborate a rear side passivated contact n-PERT solar cell structure using high throughput industrial equipment in a cost-effective manner. The passivation of the metal contact, and the charge transport on the rear side are ensured by a thin silicon oxide layer (<2 nm) covered by a poly-silicon (poly-Si) phosphorus doped layer. This structure features a growing interest in the photovoltaic community. The paper presents our latest developments in terms of tunnel oxide growth, poly-Si layer elaboration using an LPCVD reactor and phosphorus doping (both ex situ & in situ processes). After growing a thin oxide using combined wet and thermal oxidations, depositing, doping and annealing a phosphorus-doped poly-Si layer, we managed to reach high levels of surface passivation with implied open circuit voltages (iVoc) over 740 mV. Solar cells precursors were prepared including a front lightly doped 120 ohm/sqr boron diffused emitter (homogeneous emitter contactable with standard screen-printing pastes) and a rear passivated contact structure as depicted above. These precursors feature promising iVoc up to 707 mV and saturation recombination current densities (J0) down to 20 fA/cm².
Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Creators: name: Genzel, Martin
name: Macdonald, Jan
name: März, Maximilian
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Numerical Analysis (math.NA)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: In the past five years, deep learning methods have become state-of-the-art in solving various inverse problems. Before such approaches can find application in safety-critical fields, a verification of their reliability appears mandatory. Recent works have pointed out instabilities of deep neural networks for several image reconstruction tasks. In analogy to adversarial attacks in classification, it was shown that slight distortions in the input domain may cause severe artifacts. The present article sheds new light on this concern, by conducting an extensive study of the robustness of deep-learning-based algorithms for solving underdetermined inverse problems. This covers compressed sensing with Gaussian measurements as well as image recovery from Fourier and Radon measurements, including a real-world scenario for magnetic resonance imaging (using the NYU-fastMRI dataset). Our main focus is on computing adversarial perturbations of the measurements that maximize the reconstruction error. A distinctive feature of our approach is the quantitative and qualitative comparison with total-variation minimization, which serves as a provably robust reference method. In contrast to previous findings, our results reveal that standard end-to-end network architectures are not only resilient against statistical noise, but also against adversarial perturbations. All considered networks are trained by common deep learning techniques, without sophisticated defense strategies.
Industrial Solutions to Mitigate Light-Induced Degradation in mc-PERC Cells and Modules
Creators: name: Wu, J.
name: Yao, Z.
name: Zhang, D.
name: Xiong, G.
name: Jiang, F.
name: Sun, J.
name: Jaubert, J.-N.
name: Xing, G.
Publisher: name: WIP
Year: 2018
Subjects: Silicon Cells
Manufacturing & Production of Si Cells

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 835-838
description: The successful mitigation of light induce degradation (LID) is the key to volume production of mcsilicon
PERC solar cells. In this paper, we will report our breakthroughs in mitigating LID of mc-Si PERC cells,
named as P4 (Poly Gen4) technology at Canadian Solar Inc. (CSI). These technology advancements include: 1) A
unique ingot-casting process to control the impurities within multi-Si wafer materials; 2) An advanced regeneration
process to deactivate the defects that cause LID, as well as to increase P4 cell efficiency by ~0.1% abs.; 3) An
optimized cell process, especially with regard to the metallization, in order to suppress defect complex formation and to enhance hydrogen passivation of the multi-Si bulk; and 4) An intensified inline process control to create a fast and
reliable LID-controlled multi-Si PERC cells and modules. In outdoor test, multi-PERC modules presented an
enhanced performance of only 1.0% degradation after 40~45kWh/m2 light soaking. We also performed indoor
accelerated CID testing (0.5A current injection at 85 oC), and the resultant degradation is less than 1.5% after 500
hours, equivalent to two years of hot climate outdoor exposure. CSI’s multi-PERC cell capacity was ramped to 1GW
by the end of 2017 and will be 5GW by the end of 2018, with cell efficiency of more than 20% on average. In
combination with advanced module technologies, CSI’s multi-PERC module wattage exceeded 300W.
On the error exponents of binary state discrimination with composite hypotheses
Creators: name: Mosonyi, Milán
name: Szilágyi, Zsombor
name: Weiner, Mihály
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Information Theory (cs.IT)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The trade-off between the two types of errors in binary state discrimination may be quantified in the asymptotics by various error exponents. In the case of simple i.i.d. hypotheses, each of these exponents is equal to a divergence (pseudo-distance) of the two states. In the case of composite hypotheses, represented by sets of states $R,S$, one always has the inequality $\mathrm{e}(R\|S)\le \mathrm{E}(R\|S)$, where $\mathrm{e}$ is the exponent, $\mathrm{E}$ is the corresponding divergence, and the question is whether equality holds. The relation between the composite exponents and the worst pairwise exponents may be influenced by a number of factors: the type of exponents considered; whether the problem is classical or quantum; the cardinality and the geometric properties of the sets representing the hypotheses; and, on top of the above, possibly whether the underlying Hilbert space is finite- or infinite-dimensional. Our main contribution in this paper is clarifying this landscape considerably: We exhibit explicit examples for hitherto unstudied cases where the above inequality fails to hold with equality, while we also prove equality for various general classes of state discrimination problems. In particular, we show that equality may fail for any of the error exponents even in the classical case, if the system is allowed to be infinite-dimensional, and the alternative hypothesis contains countably infinitely many states. Moreover, we show that in the quantum case strict inequality is the generic behavior in the sense that, starting from any pair of non-commuting density operators of any dimension, and for any of the exponents, it is possible to construct an example with a simple null-hypothesis and an alternative hypothesis consisting of only two states, such that strict inequality holds for the given exponent.
description: 50 pages. v2: Considerably expanded, also includes the discussion of the strong converse exponent. Comments are welcome
Indoor Calibration of Large Area Organic PV Modules
Creators: name: Bardizza, G.
name: Salis, E.
name: Pavanello, D.
name: Sample, T.
name: Müllejans, H.
name: Dunlop, E.D.
Publisher: name: WIP
Year: 2018
Subjects: Non Silicon-Based Thin Film Photovoltaics
Perovskite, Organic and Dye-Sensitised Devices

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 912-916
description: The PV market is currently dominated by crystalline silicon based technologies. However, the emerging thin-film technologies show the potential to compete with them in the future, due to the improved efficiencies and increased lifetime reached. Examples of printed large-area OPV modules have been produced by different companies. There is a clear need of guidelines and protocols on how to perform a reliable calibration of these devices. In this work we present a practical example of a calibration of a large-area OPV module performed indoor under a solar simulator following the procedures described in IEC 60891 and 60904 standards. Preliminary results about a power matrix measurement study performed indoor with the same OPV module under a steady-state large-area solar simulator are also presented.
Space-based Global Maritime Surveillance. Part I: Satellite Technologies
Creators: name: Soldi, Giovanni
name: Gaglione, Domenico
name: Forti, Nicola
name: Di Simone, Alessio
name: Daffinà, Filippo Cristian
name: Bottini, Gianfausto
name: Quattrociocchi, Dino
name: Millefiori, Leonardo M.
name: Braca, Paolo
name: Carniel, Sandro
name: Willett, Peter
name: Iodice, Antonio
name: Riccio, Daniele
name: Farina, Alfonso
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Maritime surveillance (MS) is crucial for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies. Since the early days of seafaring, MS has been a critical task for providing security in human coexistence. Several generations of sensors providing detailed maritime information have become available for large offshore areas in real time: maritime radar sensors in the 1950s and the automatic identification system (AIS) in the 1990s among them. However, ground-based maritime radars and AIS data do not always provide a comprehensive and seamless coverage of the entire maritime space. Therefore, the exploitation of space-based sensor technologies installed on satellites orbiting around the Earth, such as satellite AIS data, synthetic aperture radar, optical sensors, and global navigation satellite systems reflectometry, becomes crucial for MS and to complement the existing terrestrial technologies. In the first part of this work, we provide an overview of the main available space-based sensors technologies and present the advantages and limitations of each technology in the scope of MS. The second part, related to artificial intelligence, signal processing and data fusion techniques, is provided in a companion paper, titled: "Space-based Global Maritime Surveillance. Part II: Artificial Intelligence and Data Fusion Techniques" [1].
description: This paper has been submitted to IEEE Aerospace and Electronic Systems Magazine
Optimization of Rear Pattern for p-Type Mono Bifacial PERC Cells in Mass Production
Creators: name: Li, H.
name: Ma, M.
name: Yu, X.
name: Yang, W.
name: Ma, Q.
name: Wang, Y.
Publisher: name: WIP
Year: 2018
Subjects: Silicon Cells
Manufacturing & Production of Si Cells

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 775-777
description: In this work, key factors effect the output power were studied to improve the electrical performance
and bifaciality of Bi-PERC cells which were fabricated with thickness of 180um and a bulk resistivity ranging from
0.5Ωcm to 1.5Ωcm. Different aluminum paste, weight of aluminum paste, width of finger and the pitch of rear
pattern were investigated in this paper. Under industrial mass production condition, it is shown that bifaciality of ptype
mono PERC cells is no more than 70%. Moreover, after optimization, usage of aluminum paste reduced from
0.95g to 0.25g, it means 73.7% paste has been saved. And when printed width of aluminum finger is 150um, the pitch
of rear pattern is 1.1mm, bifaciality can reached to 72.95%. Most probably, lower and moderate aluminum paste,
narrower aluminum finger and wider pitch are the reasons for the higher bifaciality.
Space-based Global Maritime Surveillance. Part II: Artificial Intelligence and Data Fusion Techniques
Creators: name: Soldi, Giovanni
name: Gaglione, Domenico
name: Forti, Nicola
name: Di Simone, Alessio
name: Daffinà, Filippo Cristian
name: Bottini, Gianfausto
name: Quattrociocchi, Dino
name: Millefiori, Leonardo M.
name: Braca, Paolo
name: Carniel, Sandro
name: Willett, Peter
name: Iodice, Antonio
name: Riccio, Daniele
name: Farina, Alfonso
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Maritime surveillance (MS) is of paramount importance for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies. Since ground-based radars and automatic identification system (AIS) do not always provide a comprehensive and seamless coverage of the entire maritime domain, the use of space-based sensors is crucial to complement them. We reviewed space-based technologies for MS in the first part of this work, titled "Space-based Global Maritime Surveillance. Part I: Satellite Technologies" [1]. However, future MS systems combining multiple terrestrial and space-based sensors with additional information sources will require dedicated artificial intelligence and data fusion techniques for the processing of raw satellite images and fuse heterogeneous information. The second part of our work focuses on the most promising artificial intelligence and data fusion techniques for MS using space-based sensors.
description: This paper has been submitted to IEEE Aerospace and Electronic Systems Magazine
Improvement of Solar Cell Efficiencies for Ultrashort-Pulse Laser Contact Opening with Ni-Cu Plated Contacts by Optimized LCO-FFO Processing Order
Creators: name: Arya, V.
name: Gutscher, S.
name: Kluska, S.
name: Meyer, F.
name: Cimiotti, G.
name: Nekarda, J.
name: Brand, A.A.
Publisher: name: WIP
Year: 2018
Subjects: Silicon Cells
Manufacturing & Production of Si Cells

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 805-809
description: We demonstrate that the standard fast firing (FFO) process at temperatures around 850°C can significantly reduce the damage caused by a UV picosecond pulse laser ablation for nickel-copper plated silicon solar cells. Although, the metallization via Ni/Cu/Ag plated contacts are a promising technology, disruption in the crystalline structure of silicon due to laser pulse damage pertains, which increases recombination and suppresses the efficiency of solar cell. We realize laser openings of linewidths ~12.7 μm to ~16.9 μm for metallization by plating on semi-finished industrial PERC solar cells and demonstrate that by flipping the chain of processes from FFO followed by laser ablation (LCO) to LCO followed by FFO, significant reduction is seen in laser-damage induced recombination which increases the power conversion efficiency () by 0.5% abs.
Simulations of Optimal Solar Cell Architecture and Material Parameters for Silicon Heterojunction Cells on Quasi-Mono Substrate: Strategies for Obtaining Efficiencies over 20%
Creators: name: Smirnov, Y.
name: Verbitskii, V.N.
name: Nyapshaev, I.
name: Andronikov, D.
name: Abramov, A.
name: Terukov, E.I.
Publisher: name: WIP
Year: 2018
Subjects: Silicon Cells
Characterisation & Simulation Methods for Si Cells

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 728-730
description: In a race for a cost reduction, applicability of quasi-mono silicon wafers for fabrication of high-efficiency silicon heterojunction (SHJ) devices is inspected. We present numerical simulations of influence of the bulk lifetime (eff) on solar cell output parameters, which are verified by cell results for both front emitter (FE) and rear emitter (RE) configurations. FE outperforms RE configuration in a range of lifetime from 200 μs to 1000 μs mainly due to the enhanced short-circuit current Jsc, while at eff = 1200 μs efficiencies are getting almost equal for both configurations. We conclude bulk lifetime of 1 ms as a requirement for fabrication of SHJ with efficiencies over 20% which is in good agreement with results of finished cells.
Electroluminescence Imaging and Light Beam Induced Current as Characterization Techniques of Multi-Crystalline Si Solar Cells
Creators: name: Sánchez, L.A.
name: Moretón, A.
name: Jiménez, M.
name: Guada, M.
name: Rodríguez-Conde, S.
name: González, M.A.
name: Martínez, O.
name: Jiménez, J.
Publisher: name: WIP
Year: 2018
Subjects: Silicon Cells
Characterisation & Simulation Methods for Si Cells

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 757-760
description: There is an increasing demand for characterizing multicrystalline solar cells at different stages of its service life. Luminescence techniques, e.g. electroluminescence (EL) and photoluminescence (PL), have acquired a paramount interest in the last years. These techniques are used in imaging mode, allowing to take a luminescence picture at a full wafer/cell scale. This imaging approach is fast and sensitive, but has a low spatial resolution, which avoids a detailed analysis of the defect distribution, which can led to misinterpretations about critical parameters as the minority carrier diffusion length, or the internal and external quantum efficiencies. If one complements these techniques with high spatial resolution techniques, such as light beam induced current (LBIC), one can study the electrical activity of the defects at a micrometric scale, providing additional understanding about the role played by the defects in full wafer/cell luminescence images. The combination of the macroscopic and microscopic resolution scales is necessary for the analysis of the full luminescence images in mc-Si solar cells.
Efficient and powerful familywise error control in genome-wide association studies using generalized linear models
Creators: name: Halle, K. K.
name: Bakke, Ø.
name: Djurovic, S.
name: Bye, A.
name: Ryeng, E.
name: Wisløff, U.
name: Andreassen, O. A.
name: Langaas, M.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Methodology (stat.ME)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: In genetic association studies, detecting phenotype-genotype association is a primary goal. We assume that the relationship between the data -phenotype, genetic markers and environmental covariates - can be modelled by a generalized linear model (GLM). The inclusion of environmental covariates makes it possible to account for important confounding factors, such as sex and population substructure. A multivariate score statistic, which under the complete null hypothesis of no phenotype-genotype association asymptotically has a multivariate normal distribution with a covariance matrix that can be estimated from the data, is used to test a large number of genetic markers for association with the phenotype. We stress the importance of controlling the familywise error rate (FWER), and use the asymptotic distribution of the multivariate score test statistic to find a local significance level for the individual test. Using real data (from one study on schizophrenia and bipolar disorder and one on maximal oxygen uptake) and constructed correlated structures, we show that our method is a powerful alternative to the popular Bonferroni and Sidak methods. For GLMs without environmental covariates, we show that our method is an efficient alternative to permutation methods for multiple testing. Further, we show that if environmental covariates and genetic markers are uncorrelated, the estimated covariance matrix of the score test statistic can be approximated by the estimated correlation matrix for just the genetic markers. As byproducts of our method, an effective number of independent tests can be defined, and FWER-adjusted $p$-values can be calculated as an alternative to using a local significance level.
Existentially closed fields with finite group actions
Creators: name: Hoffmann, Daniel Max
name: Kowalski, Piotr
Publisher: name: arXiv
Year: 2016
Subjects: subject: Logic (math.LO)
subject: FOS: Mathematics
subject: 03C60 (Primary), 03C45, 12H10 (Secondary)

description: We study algebraic and model-theoretic properties of existentially closed fields with an action of a fixed finite group. Such fields turn out to be pseudo-algebraically closed in a rather strong sense. We place this work in a more general context of the model theory of fields with a (finite) group scheme action.
Комплексная судебная психологическая экспертиза
Creators: name: Сорокотягин Игорь Николаевич
Publisher: name: Психопедагогика в правоохранительных органах
Year: 2020
Subjects: комплексная судебная экспертиза; судебная психологическая экспертиза; специальные психологические знания; психиатрия; лингвистика; педагогика; экология; медицина; аффект; графология; почерк; искусство; автотехника

description: Введение. Раскрываются вопросы теории и практики использования специальных психологических знаний в целях обеспечения полного и объективного расследования преступлений и судебного разбирательства. Материалы и методы. Методологической основой формулирования положений послужили теоретические разработки и концепции в области криминалистики, судебно-экспертной деятельности, а также конкретные положения, выработанные отдельными авторами на основе изучения практики применения технологий комплексных судебно-психологических экспертиз. Результаты и обсуждение. Рассматриваются комплексные судебные экспертизы и комплексные судебные психологические экспертизы, которые постоянно встречаются в практической деятельности правоохранительных органов. Следователями и судами активно используются судебная психолого-психиатрическая, судебная психолого-почерковедческая, комплексная судебная психологолингвистическая, судебная комплексная психолого-искусствоведческая, комплексная судебная психолого-автотехническая, комплексная судебная психолого-фоноскопическая, комплексная судебная психолого-светотехническая экспертизы. Выводы. Комплексная судебная экспертиза позволяет провести комплекс исследований оперативно, качественно и своевременно предупредить фальсификацию экспертных заключений, помогает установить психологические качества личности подэкспертного, психические особенности его состояния: эмоции, страх, тревогу, а также психические свойства: темперамент, характер, способности и др.
Constraints on the FRB rate at 700-900 MHz
Creators: name: Connor, Liam
name: Lin, Hsiu-Hsien
name: Masui, Kiyoshi
name: Oppermann, Niels
name: Pen, Ue-Li
name: Peterson, Jeffrey B.
name: Roman, Alexander
name: Sievers, Jonathan
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Estimating the all-sky rate of fast radio bursts (FRBs) has been difficult due to small-number statistics and the fact that they are seen by disparate surveys in different regions of the sky. In this paper we provide limits for the FRB rate at 800 MHz based on the only burst detected at frequencies below 1.4 GHz, FRB 110523. We discuss the difficulties in rate estimation, particularly in providing an all-sky rate above a single fluence threshold. We find an implied rate between 700-900 MHz that is consistent with the rate at 1.4 GHz, scaling to $6.4^{+29.5}_{-5.0} \times 10^3$\,sky$^{-1}$\,day$^{-1}$ for an HTRU-like survey. This is promising for upcoming experiments below a GHz like CHIME and UTMOST, for which we forecast detection rates. Given 110523's discovery at 32$σ$ with nothing weaker detected, down to the threshold of 8$σ$, we find consistency with a Euclidean flux distribution but disfavour steep distributions, ruling out $γ> 2.2$.
Dimitrov, Ivan Z.; Dunn, James D. G.; Luz, U.; Niebuhr, K. -W. (Hrsg.): Das Alte Testament als christliche Bibel in orthodoxer und westlicher Sicht
Creators: name: Weber, Beat Kaspar
Publisher: name: European journal of theology
Year: 2024

description: European journal of theology, V. 15 N. 1 (2006): European Journal of Theology, Band 15, Heft 1
BeatBox - HPC Simulation Environment for Biophysically and Anatomically Realistic Cardiac Electrophysiology
Creators: name: Antonioletti, Mario
name: Biktashev, Vadim N.
name: Jackson, Adrian
name: Kharche, Sanjay R.
name: Stary, Tomas
name: Biktasheva, Irina V.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences
subject: D.1.1; D.2.6; G.1.8; J.3
subject: 35K57, 92C05, 92C50

description: The BeatBox simulation environment combines flexible script language user interface with the robust computational tools, in order to setup cardiac electrophysiology in-silico experiments without re-coding at low-level, so that cell excitation, tissue/anatomy models, stimulation protocols may be included into a BeatBox script, and simulation run either sequentially or in parallel (MPI) without re-compilation. BeatBox is a free software written in C language to be run on a Unix-based platform. It provides the whole spectrum of multi scale tissue modelling from 0-dimensional individual cell simulation, 1-dimensional fibre, 2-dimensional sheet and 3-dimensional slab of tissue, up to anatomically realistic whole heart simulations, with run time measurements including cardiac re-entry tip/filament tracing, ECG, local/global samples of any variables, etc. BeatBox solvers, cell, and tissue/anatomy models repositories are extended via robust and flexible interfaces, thus providing an open framework for new developments in the field. In this paper we give an overview of the BeatBox current state, together with a description of the main computational methods and MPI parallelisation approaches.
description: 37 pages, 10 figures, last version submitted to PLOS ONE
Search for a gamma-ray line feature from a group of nearby Galaxy clusters with Fermi LAT Pass 8 data
Creators: name: Liang, Yun-Feng
name: Shen, Zhao-Qiang
name: Li, Xiang
name: Fan, Yi-Zhong
name: Huang, Xiaoyuan
name: Lei, Shi-Jun
name: Feng, Lei
name: Liang, En-Wei
name: Chang, Jin
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Galaxy clusters are the largest gravitationally bound objects in the universe and may be suitable targets for indirect dark matter searches. With 85 months of Fermi-LAT Pass 8 publicly available data, we analyze the gamma-ray emission in the directions of 16 nearby Galaxy Clusters with an unbinned likelihood analysis. No globally statistically-significant $γ-$ray line feature is identified and a tentative line signal may be present at $\sim 43$ GeV. The 95\% confidence level upper limits on the velocity-averaged cross section of dark matter particles annihilating into double $γ-$rays (i.e., $\langle σv \rangle_{χχ\rightarrow γγ}$) are derived. Unless very optimistic boost factors of dark matter annihilation in these Galaxy Clusters have been assumed, such constraints are much weaker than the bounds set by the Galactic $γ-$ray data.
description: The version published in Phys. Rev. D, minor revision (10 pages including 4 eps figures)
Nonlocal Co-occurrence for Image Downscaling
Creators: name: Ghosh, Sanjay
name: Garai, Arpan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Image and Video Processing (eess.IV)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Image downscaling is one of the widely used operations in image processing and computer graphics. It was recently demonstrated in the literature that kernel-based convolutional filters could be modified to develop efficient image downscaling algorithms. In this work, we present a new downscaling technique which is based on kernel-based image filtering concept. We propose to use pairwise co-occurrence similarity of the pixelpairs as the range kernel similarity in the filtering operation. The co-occurrence of the pixel-pair is learned directly from the input image. This co-occurrence learning is performed in a neighborhood based fashion all over the image. The proposed method can preserve the high-frequency structures, which were present in the input image, into the downscaled image. The idea is further extended to the case of fractions factor of downscaling. The resulting images retain visually-important details and do not suffer from edge-blurring artifact. We demonstrate the effectiveness of our proposed approach with extensive experiments on a large number of images downscaled with various downscaling factors.
description: 31 pages, 12 figures
Cross-domain Joint Dictionary Learning for ECG Inference from PPG
Creators: name: Tian, Xin
name: Zhu, Qiang
name: Li, Yuenan
name: Wu, Min
Publisher: name: arXiv
Year: 2021
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The inverse problem of inferring electrocardiogram (ECG) from photoplethysmogram (PPG) is an emerging research direction that combines the easy measurability of PPG and the rich clinical knowledge of ECG for long-term continuous cardiac monitoring. The prior art for reconstruction using a universal basis has limited fidelity for uncommon ECG waveform shapes due to the lack of rich representative power. In this paper, we design two dictionary learning frameworks, the cross-domain joint dictionary learning (XDJDL) and the label-consistent XDJDL (LC-XDJDL), to further improve the ECG inference quality and enrich the PPG-based diagnosis knowledge. Building on the K-SVD technique, our proposed joint dictionary learning frameworks aim to maximize the expressive power by optimizing simultaneously a pair of signal dictionaries for PPG and ECG with the transforms to relate their sparse codes and disease information. The proposed models are evaluated with 34,000+ ECG/PPG cycle pairs containing a variety of ECG morphologies and cardiovascular diseases. We demonstrate both visually and quantitatively that our proposed frameworks can achieve better inference performance than previous methods, suggesting an encouraging potential for ECG screening using PPG based on the proactive learned PPG-ECG relationship.
Cosmology with Negative Absolute Temperatures
Creators: name: Vieira, J. P. P.
name: Byrnes, Christian T.
name: Lewis, Antony
Publisher: name: arXiv
Year: 2016
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Negative absolute temperatures (NAT) are an exotic thermodynamical consequence of quantum physics which has been known since the 1950's (having been achieved in the lab on a number of occasions). Recently, the work of Braun et al (2013) has rekindled interest in negative temperatures and hinted at a possibility of using NAT systems in the lab as dark energy analogues. This paper goes one step further, looking into the cosmological consequences of the existence of a NAT component in the Universe. NAT-dominated expanding Universes experience a borderline phantom expansion ($w
description: 14 pages, 3 figures
Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks
Creators: name: Capobianco, Samuele
name: Millefiori, Leonardo M.
name: Forti, Nicola
name: Braca, Paolo
name: Willett, Peter
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Data-driven methods open up unprecedented possibilities for maritime surveillance using Automatic Identification System (AIS) data. In this work, we explore deep learning strategies using historical AIS observations to address the problem of predicting future vessel trajectories with a prediction horizon of several hours. We propose novel sequence-to-sequence vessel trajectory prediction models based on encoder-decoder recurrent neural networks (RNNs) that are trained on historical trajectory data to predict future trajectory samples given previous observations. The proposed architecture combines Long Short-Term Memory (LSTM) RNNs for sequence modeling to encode the observed data and generate future predictions with different intermediate aggregation layers to capture space-time dependencies in sequential data. Experimental results on vessel trajectories from an AIS dataset made freely available by the Danish Maritime Authority show the effectiveness of deep-learning methods for trajectory prediction based on sequence-to-sequence neural networks, which achieve better performance than baseline approaches based on linear regression or on the Multi-Layer Perceptron (MLP) architecture. The comparative evaluation of results shows: i) the superiority of attention pooling over static pooling for the specific application, and ii) the remarkable performance improvement that can be obtained with labeled trajectories, i.e., when predictions are conditioned on a low-level context representation encoded from the sequence of past observations, as well as on additional inputs (e.g., port of departure or arrival) about the vessel's high-level intention, which may be available from AIS.
description: Accepted for publications in IEEE Transactions on Aerospace and Electronic Systems, 17 pages, 9 figures
Distributed PV Generation: Challenges and Solutions for Its Expansion and Integration in the Brazilian Grid with Case Study of the Impact of the White Tariff
Creators: name: Da Silva, V.O.
name: Bernhard, D.B.
name: Relva, S.G.
name: Veiga Gimenes, A.L.
name: Morales Udaeta, M.E.
name: Salles, M.B.C.
Publisher: name: WIP
Year: 2017
Subjects: PV Economics, Markets and Policies
PV-Related Policies, Strategies and Societal Issues

description: 33rd European Photovoltaic Solar Energy Conference and Exhibition; 2913-2916
description: The objective of this work is to study and evaluate the impacts and challenges of the insertion of
distributed generation (DG) linked to photovoltaic (PV) technology in Brazil and to verify its impact in a residence
energy bill. The Brazilian panorama of the generation PV, the obstacles for its implantation, as well as its technical and
regulatory solutions are analyzed. Since 2012 there was an increase in the installation of DG due to regulatory changes.
The exemption from taxes such as PIS/COFINS and ICMS caused a growth of 233% in PV installations between 2015-
2016. In relation to tariff changes, the appearance of the white tariff in 2018 may negatively influence the growth of
PV photovoltaic, because, for those who adopt the tariff, it would reduce the off-peak energy offset credit, being in this
period of the day the biggest PV generation. Thus, it will reduce the savings of its monthly bill in relation to the
conventional tariff. The white tariff comes as a financial stimulus to the consumers change their load curve, shifting
their maximum demand out of the peak hours, however it reduces the economy generated by the DG PV, because the
reduction of the residential energy bill with the installation of DG PV is 90% in relation to the conventional tariff,
however, the reduction of the energy bill with the change of habits added to DG FV and with the white tariff is 78%.
Thus, the implementation of DG PV is directly linked to its cost and the consumer who choose to install DG PV should
remain with the conventional tariff.
School Sustainable: Ecological Farming, Solar Energy and Rainwater Capture as Element Educator in County Gravataí / RS - Brazil
Creators: name: Pan, A.C.
name: Golembieski Machado, A.
name: Menna De Oliveira, L.P.
name: Alves Schmitt, L.
name: Antunes De Paulo, A.
name: Ribeiro Gomes, L.F.
name: Souza Da Silva, R.
Publisher: name: WIP
Year: 2017
Subjects: PV Economics, Markets and Policies
PV-Related Policies, Strategies and Societal Issues

description: 33rd European Photovoltaic Solar Energy Conference and Exhibition; 2921-2925
description: The project Sustainable School proposed by evaluating the environmental performance of the State High School Padre Nunes, in the City of Gravataí, State of Rio Grande do Sul, the preparation of a report containing suggestions for action in the management, teaching and school extension to provide support taking decisions by the school administration for the purpose of reducing the environmental impact of their actions and the creation of a map bringing together all the proposed changes in the school environment, including sustainable structures as educators elements. Building a tank with a capacity of 16 thousand liters of rainwater was carried out, construction of a solar thermal panel as water heaters with a capacity of 146 liters of clean water for use in school kitchen, installation of a photovoltaic module supply the pressurize for non-potable water distribution network supplied by the rainwater tank, several interventions to revitalize the school yard as educational mosaics and paintings, conducting agro-ecological planting structures as vertical gardens, herb spiral, compost, among others. In addition, training workshops were carried out with the scholarship students and the courses of different levels.
Quickest Detection and Forecast of Pandemic Outbreaks: Analysis of COVID-19 Waves
Creators: name: Soldi, Giovanni
name: Forti, Nicola
name: Gaglione, Domenico
name: Braca, Paolo
name: Millefiori, Leonardo M.
name: Marano, Stefano
name: Willett, Peter
name: Pattipati, Krishna
Publisher: name: arXiv
Year: 2021
Subjects: subject: Signal Processing (eess.SP)
subject: Physics and Society (physics.soc-ph)
subject: Populations and Evolution (q-bio.PE)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: The COVID-19 pandemic has, worldwide and up to December 2020, caused over 1.7 million deaths, and put the world's most advanced healthcare systems under heavy stress. In many countries, drastic restrictive measures adopted by political authorities, such as national lockdowns, have not prevented the outbreak of new pandemic's waves. In this article, we propose an integrated detection-estimation-forecasting framework that, using publicly available data, is designed to: (i) learn relevant features of the pandemic (e.g., the infection rate); (ii) detect as quickly as possible the onset (or the termination) of an exponential growth of the contagion; and (iii) reliably forecast the pandemic evolution. The proposed solution is validated by analyzing the COVID-19 second and third waves in the USA.
description: Accepted to be published in IEEE Communications Magazine, feature topic "Networking Technologies to Combat the COVID-19 Pandemic"