cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Removing non-smoothness in solving Black-Scholes equation using a perturbation method
Creators: name: Putri, Endah R. M.
name: Mardianto, Lutfi
name: Hakam, Amirul
name: Imron, Chairul
name: Susanto, Hadi
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Finance (q-fin.MF)
subject: Analysis of PDEs (math.AP)
subject: Applications (stat.AP)
subject: FOS: Economics and business
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: G.1.2; G.1.8
subject: 62P05, 40A05, 35Dxx

description: Black-Scholes equation as one of the most celebrated mathematical models has an explicit analytical solution known as the Black-Scholes formula. Later variations of the equation, such as fractional or nonlinear Black-Scholes equations, do not have a closed form expression for the corresponding formula. In that case, one will need asymptotic expansions, including homotopy perturbation method, to give an approximate analytical solution. However, the solution is non-smooth at a special point. We modify the method by {first} performing variable transformations that push the point to infinity. As a test bed, we apply the method to the solvable Black-Scholes equation, where excellent agreement with the exact solution is obtained. We also extend our study to multi-asset basket and quanto options by reducing the cases to single-asset ones. Additionally we provide a novel analytical solution of the single-asset quanto option that is simple and different from the existing expression.
Construction, characterization, and bioavailability evaluation of honokiol-loaded porous starch by melting method without any solvent
Creators: name: Wu, Weiwei
name: Xu, Haiyang
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biophysics
subject: Space Science
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences

description: In the present study, the porous starch (PS) was used as an efficient carrier of honokiol (HK), and the HK-loaded PS (HPS) delivery system was prepared by melting method without using organic solvents. Its physical-chemical properties, solubility and oral bioavailability were also investigated. The obtained results proved that the HK in the HPS was mostly amorphous when it was loaded into the PSs with 87.54 ± 1.52% of encapsulation efficiency (EE) and 12.51 ± 0.22% of drug loading (DL) capacity. The water-solubility of the HPS was increased to 115.27 ± 2.92 μg/mL (pH = 1.2, artificial gastric juice (AGJ)), 161.58 ± 3.42 (pH = 6.8, artificial intestinal juice (AIJ)) and 148.5 ± 1.89 μg/mL (pH = 5.5, simulated tumor microenvironment), being 6.07, 4.38 and 4.87-folds higher than free HK. In vitro dissolution tests showed the HK was significantly higher from HPS than from free HK. Furthermore, compared with free HK, the release rate and the bioavailability was also substantially improved for HK from the HPS. Meanwhile, the HPS generated a higher inhibition to HepG2 cells than free HK.
Thermal Stability Investigations of PECVD Al2O3 Films Discussing a Possibility of Improving Surface Passivation by Re-Hydrogenation After High Temperature Processes
Creators: name: Kafle, B.
name: Kühnhold, S.
name: Beyer, W.
name: Lindekugel, S.
name: Saint-Cast, P.
name: Hofmann, M.
name: Rentsch, J.
Publisher: name: WIP
Year: 2012
Subjects: Wafer-Based Silicon Solar Cells and Materials Technology
Silicon Solar Cell Improvements

description: 27th European Photovoltaic Solar Energy Conference and Exhibition; 1788-1792
description: This work investigates the changing passivation behavior of Al2O3 after different thermal treatments
based on carrier lifetime (eff), interface defect density (Dit) and fixed charge density (Qtot) measurements. A concept
of diffusing H species into the dehydrogenated Al2O3 films, termed as re-hydrogenation, has also been investigated
for the PECVD deposited Al2O3 samples. Use of a-SiNx:H as a capping layer as in Al2O3/a-SiNx:H stack provides a
better thermal stability for a thin PECVD Al2O3 layer. A comparison between single Al2O3 layer and Al2O3/ a-SiNx:H
passivation stack after high temperature processes has been also performed in this work.
Inferring population history with DIYABC: a user-friendly approach to Approximate Bayesian Computation
Creators: name: Cornuet, Jean-Marie
name: Santos, Filipe
name: Beaumont, Mark A.
name: Robert, Christian P.
name: Marin, Jean-Michel
name: Balding, David J.
name: Guillemaud, Thomas
name: Estoup, Arnaud
Publisher: name: arXiv
Year: 2008
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: FOS: Biological sciences

description: Genetic data obtained on population samples convey information about their evolutionary history. Inference methods can extract this information (at least partially) but they require sophisticated statistical techniques that have been made available to the biologist community (through computer programs) only for simple and standard situations typically involving a small number of samples. We propose here a computer program (DIYABC) for inference based on Approximate Bayesian Computation (ABC), in which scenarios can be customized by the user to fit many complex situations involving any number of populations and samples. Such scenarios involve any combination of population divergences, admixtures and stepwise population size changes. DIYABC can be used to compare competing scenarios, estimate parameters for one or more scenarios, and compute bias and precision measures for a given scenario and known values of parameters (the current version applies to unlinked microsatellite data). This article describes key methods used in the program and provides its main features. The analysis of one simulated and one real data set, both with complex evolutionary scenarios, illustrates the main possibilities of DIYABC
description: submitted
Studies on Optoelectronic Properties of Vacuum and Non-Vacuum Processed Cu(In,Ga)Se2 Solar Cells
Creators: name: Wei, Z.
name: Senthilarasu, S.
name: Yakushev, M.V.
name: Martin, R.
name: Shimell, T.
name: Upadhyaya, H.M.
Publisher: name: WIP
Year: 2012
Subjects: Thin Film Solar Cells
CdTe, CIS and Related Ternary and Quaternary Thin Film Solar Cells

description: 27th European Photovoltaic Solar Energy Conference and Exhibition; 2798-2801
description: Ternary and quaternary semiconductor chalcopyrites have been studied intensively due to their widespread
application in the optoelectronic devices such as solar cells. Cu(In,Ga)Se2 (CIGS) is one of the most promising
materials for thin film photovoltaic applications because of its appropriate band gap and high absorption coefficient for
solar radiation. Vacuum based processes can be used to fabricate CIGS-based solar cell with higher efficiency and
reproducibility compared to low cost non-vacuum processes. However the non-vacuum processes can offer many
advantages such as low capital input, improved material utilization, and potentially lower energy requirements. In this
study, two different preparation processes were used to grow CIGS. These processes include: 1) paste coating of bindercontaining
and binder-free CIG/CI precursor followed by post-selenisation; and 2) evaporation of CIG/CI precursor at
low temperature and post-selenisation. The preliminary results showed that a carbon layer normally formed in bindercontaining
CIGS can be successfully removed by using a novel process. The X-ray diffraction indicates the CIGS
formation in all the samples prepared using different processes. The photoluminescence spectra of the films were
measured at temperatures from 5 to 80 K which revealed a narrow peak associated with donor-acceptor pair (DAP)
recombination, and a broad peak associated with band tail transitions.
Yield Comparison of 7 Currently Available Thin Film Modules
Creators: name: Janke, S.
name: Strasser, M.
Publisher: name: WIP
Year: 2012
Subjects: Components for PV Systems
PV Modules

description: 27th European Photovoltaic Solar Energy Conference and Exhibition; 3335-3338
description: This paper discusses the yield performance of currently available thin film modules that were installed
on the SOLON test-site in Berlin, Germany. To get uninfluenced results all modules were bought anonymously at
wholesalers. After the initial characterization with flasher and EL camera, 7 thin film modules were chosen (4x
CIGSe, 2x a-Si and 1x CdTe) and installed on a 30° fix tilt rack. One standard multi-crystalline silicon module was
installed as a reference (also purchased anonymously). Every module was connected to its own individual MPP
tracker and from there to a data acquisition system.
The findings after 11 months of operation show two things: (1) The commonly assumed advantages of higher yields
could not be confirmed for present thin film modules. Especially low light efficiency was underperforming (in
correlation to shunted areas in EL pictures and a STC-optimized module power). With regard to temperature
coefficients, only CdTe and a-Si show any advantage on hot summer days. (2) It is a key for a credible yield
prediction to have reliable STC power data. However CIGSe modules show notable light-soaking effects and a-Si
modules a typical seasonal efficiency variation. Both lead to high measurement uncertainties and a hardly predictable
annual yield.
Modelling 3D tumour microenvironment in a melanoma zebrafish model using live imaging technique: a tool to predict cancer fate
Creators: name: Lorenzini, Francesca
name: Marines, Johanna
name: Kissa, Karima
name: Fontenille, Laura
Publisher: name: Zenodo
Year: 2021

description: This poster was presented by Ms. Lorenzini at the HoSC2021 "Hallmarks of Skin Cancer Conference", 29-30 November 2021. Abstract:Cutaneous melanoma occurrence has been increasing worldwide. Early diagnosis is fundamental to discover malignancies at early stages when they are characterized by low aggressiveness and low metastatic potential. To understand melanoma progression, the study of the tumour microenvironment (TME) dynamics has been becoming essential. Indeed, vessels play an important role as a pathway for cancer dissemination and oxygen-nutrient supply. Similarly, the recruitment and infiltration of immune cells in the tumour mass, such as macrophages, impact on cancer progression.Therefore, the 3D dynamic visualization of the TME appears as a predictive tool of cancer cell behaviour in terms of intravasation, invasiveness and metastasis. In this context, in vivo models are crucial to reliably reproduce the interactions between different cell types. In recent years, zebrafish embryos have emerged as a relevant tool in oncology. Among many advantages, its transparency allows to image and visualize in real time conserved cellular processes involved in tumour progression.
Effect of the curvature on a statistical model of Quark-Gluon-Plasma fireball in the hadronic medium
Creators: name: Singh, S. Somorendro
name: Gosain, D. S.
name: kumar, Yogesh
name: Jha, Agam K.
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The free energy of a Quark-Gluon Plasma fireball in the hadronic medium is calculated in the Ramanathan et al. statistical model including the effect of curvature. The result with this curvature is found to produce significant improvement from earlier results in all the parameters we calculated. The surface tension with this curvature effect is found to be $ 0.17 T_{c}^{3}$, which is two times the earlier value of surface tension which is $ 0.078 T_{c}^{3} $, and it is nearly close to the lattice value $0.24 T_{c}^{3} $. The speed of sound calculated with curvature correction is still found to be smaller in comparision with the standard speed of sound in the QGP droplet.
description: 21 pages,8 figures
Searching for signals of inhomogeneity using multiple probes of the cosmic expansion rate H(z)
Creators: name: Koksbang, S. M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: It is argued that cosmic chronometers yield estimates of the spatially averaged expansion rate even in a universe that is not well described by a global FLRW model - as long as the Universe is statistically homogeneous and isotropic with a sufficiently small homogeneity scale. On the other hand, measurements of the expansion rate based on observations of redshift drift will not in general yield estimates of the spatially averaged expansion rate - but it will in the case where the universe is described well by a single FLRW model on large scales. Therefore, a disagreement between measurements of the expansion rate based on cosmic chronometers versus redshift drift is an expected signal of non-negligible cosmic backreaction.
description: 6 pages, 2 captioned figures. Accepted for publication in PRL
Estimation of Time to PID-Failure by Characterisation of Module Leakage Currents
Creators: name: Lechner, P.
name: Sanchez, D.
name: Geyer, D.
name: Mohring, H.-D.
Publisher: name: WIP
Year: 2012
Subjects: Components for PV Systems
PV Modules

description: 27th European Photovoltaic Solar Energy Conference and Exhibition; 3152-3156
description: In a screening procedure we identified PID sensitive modules of all relevant technologies by exposing them in
an environmental chamber with 85°C/85%RH (DH) and 60°C/85%RH under -1000V bias voltage. Leakage currents of
various modules were characterized in a chamber from 20 to 85°C and 20 to 95%RH and from an outdoor test. For CIGS and
c-Si modules lab-test PID is correlated with the transferred charge, independent whether the stress test was performed at 60
or 85°C. For Si-TF a correlation between PID (TCO-corrosion) and charge is not valid. Only for c-Si modules it was found
that thermal annealing at 60°C significantly recovers low power after PID. This could simply explain the stable behavior of a
module in the field, whereas the stress test in the lab identified a PID-susceptible module type.
Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment
Creators: name: Lee, Jemin
name: Yu, Misun
name: Kwon, Yongin
name: Kim, Taeho
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: To adopt convolutional neural networks (CNN) for a range of resource-constrained targets, it is necessary to compress the CNN models by performing quantization, whereby precision representation is converted to a lower bit representation. To overcome problems such as sensitivity of the training dataset, high computational requirements, and large time consumption, post-training quantization methods that do not require retraining have been proposed. In addition, to compensate for the accuracy drop without retraining, previous studies on post-training quantization have proposed several complementary methods: calibration, schemes, clipping, granularity, and mixed-precision. To generate a quantized model with minimal error, it is necessary to study all possible combinations of the methods because each of them is complementary and the CNN models have different characteristics. However, an exhaustive or a heuristic search is either too time-consuming or suboptimal. To overcome this challenge, we propose an auto-tuner known as Quantune, which builds a gradient tree boosting model to accelerate the search for the configurations of quantization and reduce the quantization error. We evaluate and compare Quantune with the random, grid, and genetic algorithms. The experimental results show that Quantune reduces the search time for quantization by approximately 36.5x with an accuracy loss of 0.07 ~ 0.65% across six CNN models, including the fragile ones (MobileNet, SqueezeNet, and ShuffleNet). To support multiple targets and adopt continuously evolving quantization works, Quantune is implemented on a full-fledged compiler for deep learning as an open-sourced project.
description: 13 page, 9 figures, Accepted in Future Generation Computer Systems
Combining PV and Food Crops to Agrophotovoltaic – Optimization of Orientation and Harvest
Creators: name: Beck, M.
name: Bopp, G.
name: Goetzberger, A.
name: Obergfell, T.
name: Reise, C.
name: Schindele, S.
Publisher: name: WIP
Year: 2012
Subjects: PV Systems
Large PV Power Plants and Distributed PV: System Aspects and Grid Connection

description: 27th European Photovoltaic Solar Energy Conference and Exhibition; 4096-4100
description: Presently ground mounted PV plants and food production are perceived to conflict with each other. This conflict can be resolved by the concept of Agrophotovoltaics (APV), the combination of PV and agriculture at the same plot. This concept has received little attention although it was proposed long ago. We started by investigating plant growth under existing PV installations and found that many species of natural plants grow quite well under these conditions. From those studies conclusions can be drawn which crops can be cultivated together with PV. Three categories could be identified: Crops that benefit from some shading, crops that are not much influenced and crops that depend on maximum irradiation and are not suitable for APV. We also developed a
simulation program that calculates global radiation at ground level inside rows of modules. A major result was that the conventional installation towards south leads to persistent shade and uneven ripening of crops. A solution is to orient the arrays towards south east or south west. A preliminary experiment with salad was carried out confirming these results. The realizable potential for Germany in a conservative estimate was found to be 53 GW which is equal to the official goal for 2020. Much more potential can be expected for arid and semiarid regions.
Seasonal Distribution and Host-Parasite Interaction of Pedunculate Barnacle, Octolasmis spp. on Orange Mud Crab, Scylla olivacea
Creators: name: Theerawoot LERSSUTTHICHAWAL, Norasingh PENPRAPAI
Publisher: name: Walailak University
Year: 2013
Subjects: Mangrove crab, Scylla olivacea, pedunculate barnacle, Octolasmis

description: 2, 10, Walailak Journal of Science and Technology
Blue-Cloud 2026 - D2.2 New Blue Data Infrastructures – Service Analysis Report
Creators: name: Schaap, Dick
Publisher: name: Zenodo
Year: 2023
Subjects: Data Access
Data Discovery
Data Federation
EOSC
Federated Access
Federated Discovery
Marine research
Open Science

description: The Blue Cloud Data Discovery and Access Service (DD&AS) is one of the core
components of the Blue-Cloud technical framework. It It facilitates
discovery and retrieval of marine data sets and data products from blue
data infrastructures (BDIs), such as key EU infrastructures such as
Copernicus Marine Service, EMODnet, SeaDataNet, and more, for external
users in stand-alone mode. It interacts with the Blue-Cloud Virtual
Research Environment, the component federating computing platforms and
analytical services, for populating the VRE data pool. As part of the
predecessor pilot Blue-Cloud project, the first operational release of the
Blue-Cloud DD&AS has been deployed. The current version of the service is
federating in total 8 BDIs and with 9 data services. As part of the
Blue-Cloud 2026 project, it is planned to expand the DD&AS federation with
data discovery and access services from 4 new BDIs, namely: • European
Multidisciplinary Seafloor and water column Observatory (EMSO) • Svalbard
Integrated Arctic Earth Observing System (SIOS) • ELIXIR - MGnify • EMODnet
Physics. The implementation of the Blue Cloud DD&AS largely depends on
machine-to-machine interactions between central components of the DD&AS and
web services / APIs as managed and operated by the BDIs. In this
deliverable a short overview is given of the current architecture and
functionality of the Blue- Cloud DD&AS to provide good insight in the DD&AS
conceptual principles. Per each new BDI a description is given of their
organisation, structure, aims, contents, data discovery and access
services, and available web services and/or APIs, followed by an assessment
of how each BDI might be federated in the DD&AS, fitting into the overall
concept. The gathering of information about each new BDI and the follow-up
analyses and assessment have been performed thanks to a two-way dialogue
between MARIS and CNR-IIA, as core DD&AS developers, with each of the new
BDIs and associated technical providers. This activity started at the
plenary WP2 working session at the Project Kick-Off meeting, on 13–15
February 2023 in Pisa – Italy, and continued during the the first Technical
and Scientific Committee (TSC) meeting, 28-29 March 2023 in Amsterdam –
Netherlands. Since then, the managers of the new BDIs have compiled
information about their BDI and services, following a provided template.
Bilateral web conferences followed with managers of each of the BDIs during
August – October 2023 to discuss findings and suggestions for the
federation. This consultation phase resulted in concrete plans for
federating each of the 4 new BDIs, which are documented in this Deliverable
D2.2 - New Blue Data Infrastructures – Service Analysis Report. These plans
will be worked out and taken into development in the coming period as part
of the WP2 activities.
Additional file 4: of Pin1 inhibition exerts potent activity against acute myeloid leukemia through blocking multiple cancer-driving pathways
Creators: name: Lian, Xiaolan
name: Lin, Yu-Min
name: Kozono, Shingo
name: Herbert, Megan
name: Li, Xin
name: Yuan, Xiaohong
name: Guo, Jiangrui
name: Guo, Yafei
name: Tang, Min
name: Lin, Jia
name: Huang, Yiping
name: Wang, Bixin
name: Qiu, Chenxi
name: Tsai, Cheng-Yu
name: Xie, Jane
name: Gao, Ziang
name: Wu, Yong
name: Liu, Hekun
name: Zhou, Xiao
name: Lu, Kun
name: Chen, Yuanzhong
Publisher: name: figshare
Year: 2018
Subjects: subject: Biophysics
subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Physiology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Figure S4. Immortalized normal blood cells were resistant to ATRA. a Pin1 protein levels in two immortalized normal blood cells (N1 and N5 cells) were assayed by immunoblotting and compared with AML cell lines (HL-60, U937 and KG-1a). N was indicated normal blood cells. b After 3Â days treatment of different concentrations of ATRA, cell growth rates were determined by CellTiter-GloÂŽ 2.0 Assay. N1 and N5 cells were completely resistant to ATRA, compared with leukemia cell lines. (PDF 222 kb)
Analytic and Approximate Solutions of Space-Time Fractional Telegraph Equations via Laplace Transform
Creators: name: Devendra KUMAR, Jagdev SINGH
Publisher: name: Walailak University
Year: 2014
Subjects: Laplace transform method, homotopy perturbation method, space-time fractional telegraph equations, transmission line

description: 8, 11, Walailak Journal of Science and Technology
A Study of the Effect of Etching Time on the Optical Properties of Irradiated CR-39 Polymer
Creators: name: Moustfa Fawzy EISSA
Publisher: name: Walailak University
Year: 2014
Subjects: CR-39 track etch polymer, etching time, alpha particles irradiations, optical band gap energy, Urbach energy

description: 9, 11, Walailak Journal of Science and Technology
Momentum section on Courant algebroid and constrained Hamiltonian mechanics
Creators: name: Ikeda, Noriaki
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Physics (math-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Differential Geometry (math.DG)
subject: Symplectic Geometry (math.SG)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We propose a generalization of the momentum map on a symplectic manifold with a Lie algebra action to a Courant algebroid structure. The theory of a momentum section on a Lie algebroid is generalized to the theory compatible with a Courant algebroid. As an example, we identify the momentum section in a constrained Hamiltonian mechanics with Courant algebroid symmetry. Moreover, we construct cohomological formulations by considering the BFV and BV formalism of this Hamiltonian system. The Weil algebra for this structure is constructed.
description: 37 pages
Measurement-induced dark state phase transitions in long-ranged fermion systems
Creators: name: Müller, Thomas
name: Diehl, Sebastian
name: Buchhold, Michael
Publisher: name: arXiv
Year: 2021
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We identify an unconventional algebraic scaling phase in the quantum dynamics of free fermions with long range hopping, which are exposed to continuous local density measurements. The unconventional phase is characterized by an algebraic entanglement entropy growth, and by a slow algebraic decay of the density-density correlation function, both with a fractional exponent. It occurs for hopping decay exponents $1< p \lesssim 3/2$ independently of the measurement rate. The algebraic phase gives rise to two critical lines, separating it from a critical phase with logarithmic entanglement growth at small, and an area law phase with constant entanglement entropy at large monitoring rates. A perturbative renormalization group analysis suggests that the transitions to the long-range phase are also unconventional, corresponding to a modified sine-Gordon theory. Comparing exact numerical simulations of the monitored wave functions with analytical predictions from a replica field theory approach yields an excellent quantitative agreement. This confirms the view of a measurement-induced phase transition as a quantum phase transition in the dark state of an effective, non-Hermitian Hamiltonian.
description: 6+4 pages, 3+1 figures
Reduction of Absorption Losses and Efficiency Gains by Investigating Amorphous/Cristalline SHJ Rear Emitter Solar Cells
Creators: name: Schröer, S.
name: Bivour, M.
name: Schön, J.
name: Hermle, M.
name: Glunz, S.W.
Publisher: name: WIP
Year: 2012
Subjects: Wafer-Based Silicon Solar Cells and Materials Technology
Silicon Solar Cell Characterization and Modelling

description: 27th European Photovoltaic Solar Energy Conference and Exhibition; 759-762
description: In this work, we discuss the results of a 2-dimensional numerical device simulation study concerning
amorphous/crystalline silicon heterojunction (a-Si/c-Si SHJ) solar cells. In this context we address the fundamental
challenge of balancing the trade-off between transparency and conductivity of transparent conducting oxides (TCO)
at the illuminated front side of the solar cell. We investigate fill factor losses associated to the 2D lateral carrier
transport, by varying the pitch of the front side metallization and the sheet resistance (Rsh) of the TCO for both, front
emitter and rear emitter solar cells. It is demonstrated that for the rear emitter design a substantial part of the lateral
carrier transport can be shifted from the front side TCO into the base. Due to this additional lateral current path, the
trade-off between optical and electrical properties of the front side TCO is less pronounced for this rear emitter cells.
This leads to fewer restrictions for the choice of the front side TCO and/or the design of the front side metallization.
Depending on the optimization route, this should allow higher solar cell efficiencies or the application of more
economically TCOs.
Noncommutative topological entropy of endomorphisms of Cuntz algebras
Creators: name: Skalski, Adam
name: Zacharias, Joachim
Publisher: name: arXiv
Year: 2008
Subjects: subject: Operator Algebras (math.OA)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 46L55 (Primary); 37B40 (Secondary)

description: Noncommutative topological entropy estimates are obtained for polynomial gauge invariant endomorphisms of Cuntz algebras, generalising known results for the canonical shift endomorphisms. Exact values for the entropy are computed for a class of permutative endomorphisms related to branching function systems introduced and studied by Bratteli, Jorgensen and Kawamura.
description: 16 pages, v2 contains more background information. The paper will appear in Letters in Mathematical Physics
Identification of Flux Rope Orientation via Neural Networks
Creators: name: Narock, Thomas
name: Narock, Ayris
name: Santos, Luiz F. G. Dos
name: Nieves-Chinchilla, Teresa
Publisher: name: arXiv
Year: 2022
Subjects: subject: Space Physics (physics.space-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Geomagnetic disturbance forecasting is based on the identification of solar wind structures and accurate determination of their magnetic field orientation. For nowcasting activities, this is currently a tedious and manual process. Focusing on the main driver of geomagnetic disturbances, the twisted internal magnetic field of interplanetary coronal mass ejections (ICMEs), we explore a convolutional neural network's (CNN) ability to predict the embedded magnetic flux rope's orientation once it has been identified from in situ solar wind observations. Our work uses CNNs trained with magnetic field vectors from analytical flux rope data. The simulated flux ropes span many possible spacecraft trajectories and flux rope orientations. We train CNNs first with full duration flux ropes and then again with partial duration flux ropes. The former provides us with a baseline of how well CNNs can predict flux rope orientation while the latter provides insights into real-time forecasting by exploring how accuracy is affected by percentage of flux rope observed. The process of casting the physics problem as a machine learning problem is discussed as well as the impacts of different factors on prediction accuracy such as flux rope fluctuations and different neural network topologies. Finally, results from evaluating the trained network against observed ICMEs from Wind during 1995-2015 are presented.
Supplementary Material for the MVSIC Model from Infection, inflammation and intervention: mechanistic modelling of epithelial cells in COVID-19
Creators: name: Fadai, Nabil T.
name: Rahil Sachak-Patwa
name: Byrne, Helen M.
name: Maini, Philip K.
name: Bafadhel, Mona
name: Nicolau, Dan V.
Publisher: name: The Royal Society
Year: 2021
Subjects: subject: 10202 Biological Mathematics
subject: FOS: Mathematics

description: The existence and uniqueness of the infectious steady-state, as well as a description of the global sensitivity analysis via eFAST.
Searching for the secondary eclipse of CoRoT-Exo-2b and its transit timing variations
Creators: name: Alonso, R.
name: Aigrain, S.
name: Pont, F.
name: Mazeh, T.
name: Team, the CoRoT Exoplanet Science
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: With more than 80 transits observed in the CoRoT light curve with a cadence of 32 s, CoRoT-Exo-2b provides an excellent case to search for the secondary eclipse of the planet, with an expected signal of less than 10^-4 in relative flux. The activity of the star causes a modulation on the flux that makes the detection of this signal challenging. We describe the technique used to seek for the secondary eclipse, that leads to a tentative 2.5 sigma detection of a 5.5x10^-5 eclipse. If the effect of the spots are not taken into account, the times of transit centers will also be affected. They could lead to an erroneous detection of periodic transit timing variations of ~20 s and with a 7.45 d period. By measuring the transit central times at different depths of the transit (transit bisectors), we show that there are no such periodic variations in the CoRoT-Exo-2b O-C residuals larger than ~10 s.
description: 6 pages, 5 figures, to appear in the Proceedings of IAU Symposium 253, "Transiting Planets", May 2008, Cambridge, MA
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities
Creators: name: Song, Chaobing
name: Zhou, Zhengyuan
name: Zhou, Yichao
name: Jiang, Yong
name: Ma, Yi
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: The optimization problems associated with training generative adversarial neural networks can be largely reduced to certain {\em non-monotone} variational inequality problems (VIPs), whereas existing convergence results are mostly based on monotone or strongly monotone assumptions. In this paper, we propose {\em optimistic dual extrapolation (OptDE)}, a method that only performs {\em one} gradient evaluation per iteration. We show that OptDE is provably convergent to {\em a strong solution} under different coherent non-monotone assumptions. In particular, when a {\em weak solution} exists, the convergence rate of our method is $O(1/{ε^{2}})$, which matches the best existing result of the methods with two gradient evaluations. Further, when a {\em $σ$-weak solution} exists, the convergence guarantee is improved to the linear rate $O(\log\frac{1}ε)$. Along the way--as a byproduct of our inquiries into non-monotone variational inequalities--we provide the near-optimal $O\big(\frac{1}ε\log \frac{1}ε\big)$ convergence guarantee in terms of restricted strong merit function for monotone variational inequalities. We also show how our results can be naturally generalized to the stochastic setting, and obtain corresponding new convergence results. Taken together, our results contribute to the broad landscape of variational inequality--both non-monotone and monotone alike--by providing a novel and more practical algorithm with the state-of-the-art convergence guarantees.
description: 29 pages
A viral load-based model for epidemic spread on spatial networks
Creators: name: Loy, Nadia
name: Tosin, Andrea
Publisher: name: arXiv
Year: 2021
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences
subject: 35Q20, 35Q70, 35Q84

description: In this paper, we propose a Boltzmann-type kinetic model of the spreading of an infectious disease on a network. The latter describes the connections among countries, cities or districts depending on the spatial scale of interest. The disease transmission is represented in terms of the viral load of the individuals and is mediated by social contacts among them, taking into account their displacements across the nodes of the network. We formally derive the hydrodynamic equations for the density and the mean viral load of the individuals on the network and we analyse the large-time trends of these quantities with special emphasis on the cases of blow-up or eradication of the infection. By means of numerical tests, we also investigate the impact of confinement measures, such as quarantine or localised lockdown, on the diffusion of the disease on the network.
description: 24 pages, 7 figures
Experiment Management and Execution in Laboratories and Small Production Lines
Creators: name: Böttinger, F.
name: Wertz, R.
name: Giesen, T.
name: Maier, F.
name: Verl, A.
Publisher: name: WIP
Year: 2012
Subjects: Wafer-Based Silicon Solar Cells and Materials Technology
Manufacturing Issues and Processing

description: 27th European Photovoltaic Solar Energy Conference and Exhibition; 1080-1083
description: Increasing solar cell efficiency and reducing cost are key drivers to compete in today’s challenging
market situation. Multiple experiments with new process technologies incorporating innovative materials are required
to understand parameter influences and relationships on the cells. These experiments need to be performed on
machinery and equipment nearly identical to the real production line, involving state-of-the-art sensors and control
algorithms. However, control of experiments demands for more flexibility than required in productive environments.
To support research in managing and executing experiments Fraunhofer IPA developed a lean software solution
focusing on simplicity and efficiency for laboratories and small production lines. It is designed to support
configurable experiment runs with highly flexible process parameter settings and retrieving machine reports in a
central repository.
Towards A Nonsingular Tachyonic Big Crunch
Creators: name: Brandenberger, Robert H.
name: Frey, Andrew R.
name: Kanno, Sugumi
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Astrophysics (astro-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We discuss an effective field theory background containing the gravitational field, the dilaton and a closed string tachyon, and couple this background to a gas of fundamental strings and D strings. Allowing for the possibility of a non-vanishing dilaton potential of Casimir type, we demonstrate the possibility of obtaining a nonsingular, static tachyon condensate phase with fixed dilaton. The time reversal of our solution provides a candidate effective field theory description of a Hagedorn phase of string gas cosmology with fixed dilaton.
description: 7 pages, two references added
Voltage Balancing in LV Residential Networks by Means of Three Phase PV Inverters
Creators: name: Lazar, R.D.
name: Constantin, A.
Publisher: name: WIP
Year: 2012
Subjects: PV Systems
Large PV Power Plants and Distributed PV: System Aspects and Grid Connection

description: 27th European Photovoltaic Solar Energy Conference and Exhibition; 4068-4071
description: The present work is showing a way of mitigating some of the actual LV grid problems (overload of the
neutral wire or local transformer, overvoltage, voltage unbalance) by use of three phase PV inverters. These have the
advantage that they can control the power on each phase individually. By doing that new possibilities are opening
such as local voltage or power balancing. These will relief the stress on the LV transformer and neutral conductors
and moreover decrease the losses by increasing single phase local consumption.
Innate Motivation for Robot Swarms by Minimizing Surprise: From Simple Simulations to Real-world Experiments (plots, data and video)
Creators: name: Kaiser, Tanja Katharina
name: Hamann, Heiko
Publisher: name: Zenodo
Year: 2021

description: Applications of large-scale mobile multi-robot systems can be beneficial over monolithic robots because of higher potential for robustness and scalability. Developing controllers for multi-robot systems is challenging because the multitude of interactions is hard to anticipate and difficult to model. Automatic design using machine learning or evolutionary robotics seem to be options to avoid that challenge, but bring the challenge of designing reward or fitness functions. Generic reward and fitness functions seem unlikely to exist and task-specific rewards often have undesired side effects. Approaches of so-called innate motivation try to avoid the specific formulation of rewards and work instead with different drivers, such as curiosity. Our approach to innate motivation is to minimize surprise, which we implement by maximizing the accuracy of the swarm robot's sensor predictions using neuroevolution. A unique advantage of the swarm robot case is that swarm members populate the robot's environment and can trigger more active behaviors in a self-referential loop. We summarize our previous simulation-based results concerning behavioral diversity, robustness, scalability, and engineered self-organization, and put them into context. In several new studies, we analyze the influence of the optimizer's hyperparameters, the scalability of evolved behaviors, and the impact of realistic robot simulations. Finally, we present results using real robots that show how the reality gap can be bridged.
Multi-period stochastic programming
Creators: name: Gassmann, Horand Ingo
Publisher: name: University of British Columbia
Year: 2010

description: This dissertation presents various aspects of the solution of the linear multi-period stochastic programming problem. Under relatively mild assumptions on the structure of the random variables present in the problem, the value function at every time stage is shown to be jointly convex in the history of the process, namely the random variables observed so far as well as the decisions taken up to that point. Convexity enables the construction of both upper and lower bounds on the value of the entire problem by suitable discretization of the random variables. These bounds are developed in Chapter 2, where it is also demonstrated how the bounds can be made arbitrarily sharp if the discretizations are chosen sufficiently fine. The chapter emphasizes computability of the bounds, but does not concern itself with finding the discretizations themselves. The practise commonly followed to obtain a discretization of a random variable is to partition its support, usually into rectangular subsets. In order to apply the bounds of Chapter 2, one needs to determine the probability mass and weighted centroid for each element of the partition. This is a hard problem in itself, since in the continuous case it amounts to a multi-dimensional integration. Chapter 3 describes some Monte-Carlo techniques which can be used for normal distributions. These methods require random sampling, and the two main issues addressed are efficiency and accuracy. It turns out that the optimal method to use depends somewhat on the probability mass of the set in question. Having obtained a suitable discretization, one can then solve the resulting large scale linear program which approximates the original problem. Its constraint matrix is highly structured, and Chapter 4 describes one algorithm which attempts to utilize this structure. The algorithm uses the Dantzig-Wolfe decomposition principle, nesting decomposition levels one inside the other. Many of the subproblems generated in the course of this decomposition share the same constraint matrices and can thus be solved simultaneously. Numerical results show that the algorithm may out-perform a linear programming package on some simple problems. Chapter 5, finally, combines all these ideas and applies them to a problem in forest management. Here it is required to find logging levels in each of several time periods to maximize the expected revenue, computed as the volume cut times an appropriate discount factor. Uncertainty enters into the model in the form of the risk of forest fires and other environmental hazards, which may destroy a fraction of the existing forest. Several discretizations are used to formulate both upper and lower bound approximations to the original problem.
Instanton bundles on $\mathbb{P}^1\times\mathbb{F}_1$
Creators: name: Antonelli, Vincenzo
name: Casnati, Gianfranco
name: Genc, Ozhan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Algebraic Geometry (math.AG)
subject: Commutative Algebra (math.AC)
subject: FOS: Mathematics
subject: Primary: 14D21. Secondary: 14J60, 14J45

description: In this paper we deal with a particular class of rank two vector bundles (\emph{instanton} bundles) on the Fano threefold of index one $F:=\mathbb{F}_1 \times \mathbb{P}^1$. We show that every instanton bundle on $F$ can be described as the cohomology of a monad whose terms are free sheaves. Furthermore we prove the existence of instanton bundles for any admissible second Chern class and we construct a nice component of the moduli space where they sit. Finally we show that minimal instanton bundles (i.e. with the least possible degree of the second Chern class) are aCM and we describe their moduli space.
description: 20 pages. Final version in Communications in Algebra
Dutch waterscapes and collaborative climate strategies
Creators: name: Errigo, Maurizio Francesco
Publisher: name: UPLanD - Journal of Urban Planning, Landscape & environmental Design
Year: 2019

description: Dutch landscape is mainly a landscape of water, both in its urban and rural component; it is a landscape that has considered the resilience as its foundational feature as it is modelled and transformed in relation to the management of environmental risks and of climate change. Dutch landscape is conformed through an urban design and various strategies that desire not only to face the main risks but, above all, to anticipate climate change by integrating them into the future strategic vision. In the city of Rotterdam there is a strong interest in realizing some action selected by the Municipal Program on Sustainability and Climate Change; this interest is stimulated across social and economic stakeholders that are deeply involved in the opportunities offered by the climate strategies’ implementation. Dutch people are agree that the climate change problems must be dealt with consciously and with the full participation of the population; Rotterdam is becoming resilient not just by fortifying its defences to a changing climate and rising seas, but also by building a more cohesive and inclusive society. Resilience thinking is being incorporated in the policymaking and initiatives across all domains of city government, including across social, physical and economical programs. The Climate Collaborative is an approach developed in the city of Rotterdam with the aim to reverse climate change, both on their own and by working together; it is an approach developed in some climate strategies and in various school program that stimulate the Rotterdammer since an early age. The Dutch education system aims to raise children’s awareness so that they can refine their behavior with growth and be examples of best practices and smart communities.
description: UPLanD - Journal of Urban Planning, Landscape & environmental Design, V. 4 N. 1: Urban Water Management 2.0
The reddest ISO-2MASS quasar
Creators: name: Leipski, C.
name: Haas, M.
name: Siebenmorgen, R.
name: Meusinger, H.
name: Albrecht, M.
name: Cesarsky, C.
name: Chini, R.
name: Cutri, R.
name: Drass, H.
name: Huchra, J. P.
name: Ott, S.
name: Wilkes, B. J.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: In the course of the NIR/MIR AGN search combining the 6.7 mu ISOCAM Parallel Survey and 2MASS we have discovered 24 type-1 quasars about a third of which are too red to be discriminated by optical/UV search techniques. Here we report on a detailed case study of the reddest type-1 quasar of our sample (J2341) at redshift z=0.236 with M_K=-25.8 and J-K=1.95. We performed spectroscopy in the optical with VLT/FORS1 and in the MIR with Spitzer as well as NIR imaging with ISPI at CTIO. The optical and NIR observations reveal a star forming emission-line galaxy at the same redshift as the quasar with a projected linear separation of 1.8 arcsec (6.7 kpc). The quasar and its companion are embedded in diffuse extended continuum emission. Compared with its companion the quasar exhibits redder optical-NIR colours, which we attribute to hot nuclear dust. The MIR spectrum shows only few emission lines superimposed on a power-law spectral energy distribution. However, the lack of strong FIR emission suggests that our potentially interacting object contains much less gas and dust and is in a stage different from dust reddened ULIRG-AGN like Mrk 231. The optical spectrum shows signatures for reddening in the emission-lines and no post-starburst stellar population is detected in the host galaxy of the quasar. The optical continuum emission of the active nucleus appears absorbed and diluted. Even the combination of absorption and host dilution is not able to match J2341 with standard quasar templates. While the BLR shows only a rather moderate absorption of E_(B-V)=0.3, the continuum shorter than 4500 AA requires strong obscuration with E_(B-V)=0.7, exceeding the constraints from the low upper limit on the 9.7 mu silicate absorption. This leads us to conclude that the continuum of J2341 is intrinsically redder than that of typical quasars.
description: 8 pages, 9 figures