cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Untersuchungen zur Nierenfunktion bei der Behandlung angeborener Herzfehler
Creators: name: Dittrich, Sven
Publisher: name: Humboldt-Universität zu Berlin, Medizinische Fakultät - Universitätsklinikum Charité
Year: 2001
Subjects: subject: Angeborene Herzfehler
subject: Niere
subject: Blutviskoität
subject: Ischämie-Reperfusionsschaden
subject: Congenital heart disease
subject: kidney
subject: blood viscosity
subject: ischemia-reperfusion injury
subject: 610 Medizin
subject: 33 Medizin
subject: YB 9600

description: Diese Arbeit befasst sich tierexperimentell und klinisch mit Aspekten der Nierenfunktion bei der Behandlung angeborener Herzfehler. Von Patientenseite sind das Neonatal- und Säuglingsalter und ab der Adoleszenz eine chronische Zyanose, von Behandlungsseite Röntgenkontrastmittelgaben, Dauer, Blutviskositätsänderungen und Kreislaufstillstand am kardiopulmonalen Bypass Risikofaktoren. Cortikosteroidgaben, Optimierung von Blutviskosität und Hydratation sowie eine prophylaktische Peritonealdialyse sind Ansätze zur Behandlung eines Nierenschadens. Die Ergebnisse zeigen, dass Verbesserungen der Plasmaviskosität Nierenschäden am hypothermen kardiopulmonalen Bypass vermindern während eine Cortikosteroidgabe vor Kreislaufstillstand bei Ferkeln nicht nephroprotektiv wirkt. Bei Risikopatienten erweist sich der prophylaktische Einsatz einer Peritonealdialyse als günstig. Bei chronisch zyanotischen Patienten mit einer Glomerulopathie und einem erhöhtem Risiko für Röntgenkontrastmittelexposition und kardiopulmonale Byppassoperationen muss der Nierenstatus die Operationsplanung und postoperative Therapie beeinflussen. Nephroprotektion und Verbesserungsmöglichkeiten der Blutviskosität am kardiopulmonalen Bypass müssen weiter untersucht werden.
description: This work focusses on clinical aspects of kidney function in the treatment of congenital heart disease. Neonates and infants as well as adolescents with cyanosis may be especially at risk. Contrast agents, duration, blood viscosity changes, and circulatory arrest in cardiopulmonary bypass may be risk factors. Corticosteroids, optimized blood viscosity and hydration, and early onset of peritoneal dialysis are considerations of treatment. Our results demonstrate a reduction of renal damage with optimized plasma viscosity during hypothermia in cardiopulmonary bypass, while corticosteroids have no advantage in young pigs after circulatory arrest. Prophylactic treatment with peritoneal dialysis has advantages in patients at risk. In chronicly cyanotic patients with glomerulopathy the risk of contrast agents and cardiopulmonary bypass is elevated. Thus, renal status should influence operative procedures and postoperative treatment. The possibilities of nephroprotection and improvement of blood viscosity should be further evaluated.
Computationally Inexpensive PV System Model as a Simulation Agent for Large Scale Integration Analysis
Creators: name: Levis, C.
name: Hill, M.
Publisher: name: WIP
Year: 2017
Subjects: PV System Performance and Integration
Grid and Energy System Integration

description: 33rd European Photovoltaic Solar Energy Conference and Exhibition; 2733-2738
description: In recent years the proliferation of renewable energy systems, especially photovoltaic (PV), generating into the low voltage (LV) distribution network has been increasing and these systems are poised to contribute a significant portion of the energy supply. This poses a challenge for maintaining grid stability, which is traditionally reliant on large centralised synchronous machines. For large-scale integration of distributed PV generation, PV systems must be capable of providing grid support services (GSS) emulating the traditional system. This paper presents an accurate, reduced order, computationally inexpensive agent based model (ABM) of a three-phase PV inverter that will provide a platform for analysing advanced control strategies in a multi-agent LV distribution network. The ABM is designed to simulate the actions and interactions of autonomous/decentralised PV systems with GSS for voltage and frequency stability using droop controllers. The developed ABM is validated by comparing results from three independent step changes [Irradiation, frequency & voltage] with a full switching model in MATLAB/ Simscape Power Systems™. These resuts show similar system dynamics and a computational burden reduction of 135:1, hence, providing a simulation agent for large scale integration analysis.
Strong unique continuation and local asymptotics at the boundary for fractional elliptic equations
Creators: name: De Luca, Alessandra
name: Felli, Veronica
name: Vita, Stefano
Publisher: name: arXiv
Year: 2021
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 31B25, 35R11, 35C20

description: We study local asymptotics of solutions to fractional elliptic equations at boundary points, under some outer homogeneous Dirichlet boundary condition. Our analysis is based on a blow-up procedure which involves some Almgren type monotonicity formulae and provides a classification of all possible homogeneity degrees of limiting entire profiles. As a consequence, we establish a strong unique continuation principle from boundary points.
description: 41 pages, 2 figures
Lithuanian Smart Specialization and Clustering Activities in Photovoltaic Sector
Creators: name: Ulbikas, J.
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; 2837-2839
description: Paper is presenting developments of Lithuanian PV sector in the last two programming periods
demonstrating efficient collaboration between national RTD system players with competencies in material research
and businesses willing to develop innovative PV business. Paper presents bottom up approach of PV cluster
development integrating RTD and industrial partners with further introduction of the open access dedicated to PV
RTD infrastructure for testing and industrial scale research. Paper is discussing impact of governmental support
through country smart specialization priorities for PV sector competitiveness and ability to survive market pressure
and is presenting examples of successful implementation cluster based activities leading to novel competitive
products introduction.
Comparison of Strategies for Net Demand Forecasting in Case of Photovoltaic Power Production and Electricity Consumption
Creators: name: Van Der Meer, D.
name: Widén, J.
name: Munkhammar, J.
Publisher: name: WIP
Year: 2017
Subjects: PV System Performance and Integration
Grid and Energy System Integration

description: 33rd European Photovoltaic Solar Energy Conference and Exhibition; 2723-2728
description: This paper aims to investigate the relative difference in accuracy between forecasting net demand, i.e.,
electricity consumption less the photovoltaic (PV) power production, directly and indirectly, where the latter implies
forecasting consumption and production separately before subtraction. Depending on the variability and penetration of
PV power production, variability of the net demand time series is likely to increase as well, which may influence
accuracy of the forecast. Therefore, we gradually increase the PV power production of a commercial building and
quantify the accuracy. The well-known AutoRegressive Integrated Moving Average (ARIMA) model and AR neural
network (ARNN) are employed to forecast the univariate time series. We show that the direct strategy leads to a forecast
with higher accuracy in terms of root mean square error (RMSE), and is preferable for additional practical reasons as
well, e.g., less computational burden.
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots
Creators: name: Taniguchi, Tadahiro
name: Yamakawa, Hiroshi
name: Nagai, Takayuki
name: Doya, Kenji
name: Sakagami, Masamichi
name: Suzuki, Masahiro
name: Nakamura, Tomoaki
name: Taniguchi, Akira
Publisher: name: arXiv
Year: 2021
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Building a humanlike integrative artificial cognitive system, that is, an artificial general intelligence (AGI), is the holy grail of the artificial intelligence (AI) field. Furthermore, a computational model that enables an artificial system to achieve cognitive development will be an excellent reference for brain and cognitive science. This paper describes an approach to develop a cognitive architecture by integrating elemental cognitive modules to enable the training of the modules as a whole. This approach is based on two ideas: (1) brain-inspired AI, learning human brain architecture to build human-level intelligence, and (2) a probabilistic generative model(PGM)-based cognitive system to develop a cognitive system for developmental robots by integrating PGMs. The development framework is called a whole brain PGM (WB-PGM), which differs fundamentally from existing cognitive architectures in that it can learn continuously through a system based on sensory-motor information. In this study, we describe the rationale of WB-PGM, the current status of PGM-based elemental cognitive modules, their relationship with the human brain, the approach to the integration of the cognitive modules, and future challenges. Our findings can serve as a reference for brain studies. As PGMs describe explicit informational relationships between variables, this description provides interpretable guidance from computational sciences to brain science. By providing such information, researchers in neuroscience can provide feedback to researchers in AI and robotics on what the current models lack with reference to the brain. Further, it can facilitate collaboration among researchers in neuro-cognitive sciences as well as AI and robotics.
description: 62 pages, 9 figures, submitted to Neural Networks
Minimax theorem for the spectral radius of the product of non-negative matrices
Creators: name: Kozyakin, Victor
Publisher: name: arXiv
Year: 2016
Subjects: subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics
subject: 15A45, 15B48, 49J35

description: We prove the minimax equality for the spectral radius $ρ(AB)$ of the product of matrices $A\in\mathcal{A}$ and $B\in\mathcal{B}$, where $\mathcal{A}$ and $\mathcal{B}$ are compact sets of non-negative matrices of dimensions $N\times M$ and $M\times N$, respectively, satisfying the so-called hourglass alternative.
description: 11 pages, 15 bibliography references. Numerous style and grammar corrections, expanded the bibliography. arXiv admin note: text overlap with arXiv:1507.00492
Supplementary document for Off-axis phase modulation for SU(2) mode sorting - 7328451.pdf
Creators: name: Chen, Shuqing
name: Wu, Haisheng
name: Liu, Huipan
name: Zhang, Yujie
name: Zeng, Qingji
name: Xiao, Jiangnan
name: Ye, Huapeng
name: Dong, Ze
name: Xu, Shixiang
name: Fan, Dianyuan
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplemental document
Promoting a Sustainable Diffusion of Solar PV Electricity in Africa: Results of the CODEV Project
Creators: name: Annigoni, E.
name: Virtuani, A.
name: Ndiaye, A.
name: Wyrsch, N.
name: Ndiaye, M.L.
name: Ballif, C.
name: Kebe, C.M.F.
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; 2909-2912
description: In this work we present the result of a collaboration between the Polytechnic Schools of Dakar (ESP) and Lausanne (EPFL) on the testing and monitoring of solar photovoltaic modules. The collaboration has involved the exchange of knowledge, methodologies and data, and, in particular, the analysis of the aging of PV modules exposed to the hot semi-arid climate of Dakar for eight years.
With the aim of promoting a focus on quality and reliability, the long-term goal of the collaboration would be to set-up a testing laboratory for PV modules and systems in Dakar and a training center. The testing laboratory will be working in close collaboration with the University and should potentially have a “lean” and easy-replicable structure.
The implementation of a third-party institution able to assess independently the quality of components and support system developers and installers in the design, commissioning and maintenance of PV projects is crucial to promote a “sustainable” diffusion of solar electricity in Africa, particularly when considering the residential and commercial/industrial rooftop PV market segment. By minimizing risk, focus on quality should promote a virtuous cycle leading to: (1) mitigation of financing costs of solar projects, therefore, considerably reducing the overall costs of this technology, (2) increase positive perception and awareness about PV.
Developing a framework for the diagnostic criteria of patients with Exercise Induced Leg Pain (EILP): A protocol for scoping review
Creators: name: Bosnina, Fatma
name: Morrissey, Dylan
name: Padhiar, Nat
name: Miller, Stuart
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Medicine and Health Sciences

description: This is a scoping review protocol
Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery
Creators: name: Okuda, Yasuaki
name: Ozaki, Ryo
name: Taniguchi, Tadahiro
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Infants acquire words and phonemes from unsegmented speech signals using segmentation cues, such as distributional, prosodic, and co-occurrence cues. Many pre-existing computational models that represent the process tend to focus on distributional or prosodic cues. This paper proposes a nonparametric Bayesian probabilistic generative model called the prosodic hierarchical Dirichlet process-hidden language model (Prosodic HDP-HLM). Prosodic HDP-HLM, an extension of HDP-HLM, considers both prosodic and distributional cues within a single integrative generative model. We conducted three experiments on different types of datasets, and demonstrate the validity of the proposed method. The results show that the Prosodic DAA successfully uses prosodic cues and outperforms a method that solely uses distributional cues. The main contributions of this study are as follows: 1) We develop a probabilistic generative model for time series data including prosody that potentially has a double articulation structure; 2) We propose the Prosodic DAA by deriving the inference procedure for Prosodic HDP-HLM and show that Prosodic DAA can discover words directly from continuous human speech signals using statistical information and prosodic information in an unsupervised manner; 3) We show that prosodic cues contribute to word segmentation more in naturally distributed case words, i.e., they follow Zipf's law.
description: 11 pages, Submitted to IEEE Transactions on Cognitive and Developmental Systems
Hansdebruijnia erksinae Storch & Dahlmann 1995
Creators: name: Güleç, Erksin Savaş
name: Sevim, Ayla
name: Pehlevan, Cesur
name: Kaya, Ferhat
Publisher: name: Zenodo
Year: 2007
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Mammalia
Rodentia
Hansdebruijnia
Hansdebruijnia erksinae

description: Hansdebruijnia erksinae
description: Published as part of Güleç, Erksin Savaş, Sevim, Ayla, Pehlevan, Cesur & Kaya, Ferhat, 2007, A new great ape from the late Miocene of Turkey, pp. 153-158 in Anthropological Science 115 (2) on page 154, DOI: 10.1537/ase.070501, http://zenodo.org/record/3098249
Limitations of Time Resources in Human Relationships Determine Social Structures
Creators: name: Takano, Masanori
name: Fukuda, Ichiro
Publisher: name: arXiv
Year: 2016
Subjects: subject: Social and Information Networks (cs.SI)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: A single human can be involved in a limited number of social relationships, and the distribution of strengths of such relationships shows significant skew. This skewness suggests that the costs and benefits of the social interactions required to bond with others (social grooming) depend on the social relationship strength: if they involved uniform costs and benefits, the distribution would not be skew. Here, we show that the cost of social grooming increases with the social relationship strength, and its gradient determines the structures of these relationships in society as evident from an analysis of data from six communication systems. This may be due to an increase in communication volumes, such as number of characters and duration of calls, along with an increase in the social relationship strength. We tested this hypothesis using an individual-based simulation where social grooming costs were assumed to increase linearly with the social relationship strength; this is the simplest assumption. The results indicated that this model fitted all data sets, i.e., it showed an explanation capacity for the phenomenon. Additionally, an analysis of this simulation suggested that the gradient of social grooming costs increases the width and shallowness of social relationships in its communication system.
description: 21 pages, 7 figures
Improved Distribution Grid Hosting Capacity with Optimised PV Deployment
Creators: name: Bledzinska, M.
name: Barchi, G.
name: Moser, D.
Publisher: name: WIP
Year: 2017
Subjects: PV System Performance and Integration
Grid and Energy System Integration

description: 33rd European Photovoltaic Solar Energy Conference and Exhibition; 2646-2651
description: Nowadays in Europe, the production from variable renewable energy sources (vRES) has seen a
significant growth and the photovoltaic (PV) generation plays a central role. The unplanned proliferation of PV
generators in different points of the distribution grid has caused different kind of disturbances that might compromise
the correct operation and reliability of the grid. In particular, possible overvoltages caused by PV generation limit the
amount of PV that can be installed in a certain node of a distribution system. In this respect, the aim of this work is
twofold. First, the hosting capacity of a specific distribution network is analysed based on voltage buses, current branch
and power at transformer level. Then, a suboptimal PV placement algorithm is proposed in order to reduce the
overvoltage effect, thus mitigating the issues related to limited hosting capacity.
Universal Prediction Band via Semi-Definite Programming
Creators: name: Liang, Tengyuan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: Econometrics (econ.EM)
subject: Optimization and Control (math.OC)
subject: Statistics Theory (math.ST)
subject: FOS: Computer and information sciences
subject: FOS: Economics and business
subject: FOS: Mathematics

description: We propose a computationally efficient method to construct nonparametric, heteroscedastic prediction bands for uncertainty quantification, with or without any user-specified predictive model. Our approach provides an alternative to the now-standard conformal prediction for uncertainty quantification, with novel theoretical insights and computational advantages. The data-adaptive prediction band is universally applicable with minimal distributional assumptions, has strong non-asymptotic coverage properties, and is easy to implement using standard convex programs. Our approach can be viewed as a novel variance interpolation with confidence and further leverages techniques from semi-definite programming and sum-of-squares optimization. Theoretical and numerical performances for the proposed approach for uncertainty quantification are analyzed.
description: 21 pages, 4 figures
Bilayer honeycomb lattice with ultracold atoms: Multiple Fermi surfaces and incommensurate spin density wave instability
Creators: name: Dey, Santanu
name: Sensarma, Rajdeep
Publisher: name: arXiv
Year: 2015
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We propose an experimental setup using ultracold atoms to implement a bilayer honeycomb lattice with Bernal stacking. In presence of a potential bias between the layers and at low densities, Fermions placed in this lattice form an annular Fermi sea. The presence of two Fermi surfaces leads to interesting patterns in Friedel oscillations and RKKY interactions in presence of impurities. Furthermore, a repulsive fermion-fermion interaction leads to a Stoner instability towards an incommensurate spin-density-wave order with a wave vector equal to the thickness of the Fermi sea. The instability occurs at a critical interaction strength which goes down with the density of the fermions. We find that the instability survives interaction renormalization due to vertex corrections and discuss how this can be seen in experiments. We also track the renormalization group flows of the different couplings between the fermionic degrees of freedom, and find that there are no perturbative instabilities, and that Stoner instability is the strongest instability which occurs at a critical threshold value of the interaction. The critical interaction goes to zero as the chemical potential is tuned towards the band bottom.
description: 14 pages, 10 figures,published version
An Overview of Patent Application Data in Europe in the Field of Photovoltaics
Creators: name: Visentin, A.
name: Sagol, B.E.
name: Boero, M.
name: Königstein, C.
Publisher: name: WIP
Year: 2017
Subjects: PV Economics, Markets and Policies
PV Economics and Markets

description: 33rd European Photovoltaic Solar Energy Conference and Exhibition; 2875-2878
description: The present study is aimed at giving an update on patent activities in the photovoltaics (PV) field
covering the past 45 years. In this study, the number of patent applications published during this time period, per
year and for the whole period, in several of the most relevant solar cell technologies is analysed. Patent filing
figures and the origin of patent applications are shown for the different types of solar cells including polymer and
organic solar cells, and dye sensitized solar cells.
A class of linear viscoelastic models based on Bessel functions
Creators: name: Colombaro, Ivano
name: Giusti, Andrea
name: Mainardi, Francesco
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: 74D05, 76A10, 30B50, 33C10, 44A10

description: In this paper we investigate a general class of linear viscoelastic models whose creep and relaxation memory functions are expressed in Laplace domain by suitable ratios of modified Bessel functions of contiguous order. In time domain these functions are shown to be expressed by Dirichlet series (that is infinite Prony series). It follows that the corresponding creep compliance and relaxation modulus turn out to be characterized by infinite discrete spectra of retardation and relaxation time respectively. As a matter of fact, we get a class of viscoelastic models depending on a real parameter $ν> -1$. Such models exhibit rheological properties akin to those of a fractional Maxwell model (of order $1/2$) for short times and of a standard Maxwell model for long times.
description: 13 pages, 8 figures
Proof of Travel for Trust-Based Data Validation in V2I Communication
Creators: name: Suo, Dajiang
name: Mo, Baichuan
name: Zhao, Jinhua
name: Sarma, Sanjay E.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Previous work on misbehavior detection and trust management for Vehicle-to-Everything (V2X) communication security is effective in identifying falsified and malicious V2X data. Each vehicle in a given region can be a witness to report on the misbehavior of other nearby vehicles, which will then be added to a "blacklist." However, there may not exist enough witness vehicles that are willing to opt-in in the early stage of connected-vehicle deployment. In this paper, we propose a "whitelisting" approach to V2X security, titled Proof-of-Travel (POT), which leverages the support of roadside infrastructure. Our goal is to transform the power of cryptography techniques embedded within Vehicle-to-Infrastructure (V2I) protocols into game-theoretic mechanisms to incentivize connected-vehicle data sharing and validate data trustworthiness simultaneously. The key idea is to determine the reputation of and the contribution made by a vehicle based on its distance traveled and the information it shared through V2I channels. In particular, the total vehicle miles traveled for a vehicle must be testified by digital signatures signed by each infrastructure component along the path of its movement. While building a chain of proofs of spatial movement creates burdens for malicious vehicles, acquiring proofs does not result in extra costs for normal vehicles, which naturally want to move from the origin to the destination. The POT protocol is used to enhance the security of previous voting-based data validation algorithms for V2I crowdsensing applications. For the POT-enhanced voting, we prove that all vehicles choosing to cheat are not a pure Nash equilibrium using game-theoretic analysis. Simulation results suggest that the POT-enhanced voting is more robust to malicious data.
description: Preprint, IEEE Internet of Things Journal
Performance of a Building Integrated Semitransparent Photovoltaic Façade on a Residential House in Northern Europe
Creators: name: Jagomägi, A.
name: Wimmer, A.
name: Thalfeldt, M.
Publisher: name: WIP
Year: 2017
Subjects: PV System Performance and Integration
Building, Infrastructure and Landscape Applications

description: 33rd European Photovoltaic Solar Energy Conference and Exhibition; 2537-2547
description: Semitransparent photovoltaic (PV) façade is a good alternative to the popular rooftop PV systems. In addition to the electricity generation the semitransparent PV facade regulates the indoor temperature and lighting conditions, alters the aesthetics, and acts as a noise barrier. In this paper we investigate the influence of semitransparent PV façade on a single family house in the Estonian climate. We compare the energy performance and the indoor environment of three modifications of the test house with IDA ICE simulation software: base version without window shadings, version with horizontal shades, and version with semitransparent PV façade. The results of the simulations show that the overheating of the base version can be equally well eliminated by the horizontal shades or the semitransparent PV façade. In contrast to the horizontal shades, the PV façade blocks the useful solar gain in wintertime. This results in higher heat demand by 60% and higher artificial lighting demand by 11%. Nevertheless, the extra energy demand is fully compensated by the PV electricity production, which makes the house a plus energy building. In addition to the energy consumption, the PV façade decreases the outdoor to indoor noise propagation by 32 dB.
Quantum-chemical perspective of nanoscale Raman spectroscopy with three-dimensional phonon confinement model
Creators: name: Korepanov, Vitaly I.
name: Hamaguchi, Hiro-o
Publisher: name: arXiv
Year: 2016
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Raman spectroscopy of crystalline/molecular systems is well backed with quantum chemical calculations and group theory, making it a unique characterization tool. For the "intermediate" case of nanoscale systems, however, the use of Raman spectroscopy is limited by the lack of such theoretical bases. Here, we suggest to couple a scaled quantum-mechanical (SQM) calculation with the phonon confinement model (PCM) to construct a universal and physically consistent basis for nanoscale Raman spectroscopy. Unlike the commonly used one-dimensional dispersion PCM, we take into account the confinement along all the three dimensions of the k-space. We apply it to diamond nanoparticles of sub-50nm size, a system with pronounced anisotropy of dispersion for which the use of three-dimensional dispersion is a requisite. The model excellently reproduces size-sensitive spectral features, including the peak position, bandwidth and asymmetry of the sp3 C-C Raman band. This fundamental approach can be easily generalized to other nanocrystalline solids to hopefully contribute the future development of quantitative nanoscale Raman spectroscopy.
description: 7 pages, 4 figures
Hansdebruijnia cf. neutrum Storch & Dahlmann 1995
Creators: name: Güleç, Erksin Savaş
name: Sevim, Ayla
name: Pehlevan, Cesur
name: Kaya, Ferhat
Publisher: name: Zenodo
Year: 2007
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Mammalia
Rodentia
Hansdebruijnia
Hansdebruijnia cf. neutrum

description: Hansdebruijnia cf. neutrum
description: Published as part of Güleç, Erksin Savaş, Sevim, Ayla, Pehlevan, Cesur & Kaya, Ferhat, 2007, A new great ape from the late Miocene of Turkey, pp. 153-158 in Anthropological Science 115 (2) on page 154, DOI: 10.1537/ase.070501, http://zenodo.org/record/3098249
A comprehensive study of vector leptoquark with $U(1)_{B_3-L_2}$ on the $B$-meson and Muon g-2 anomalies
Creators: name: Ban, Kayoung
name: Jho, Yongsoo
name: Kwon, Youngjoon
name: Park, Seong Chan
name: Park, Seokhee
name: Tseng, Po-Yan
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Recently reported anomalies in various $B$ meson decays and also in the anomalous magnetic moment of muon $(g-2)_μ$ motivate us to consider a particular extension of the standard model incorporating new interactions in lepton and quark sectors simultaneously. Our minimal choice would be leptoquark. In particular, we take vector leptoquark ($U_1$) and comprehensively study all related observables including ${(g-2)_μ},\ R_{K^{(*)}},\ R_{D^{(*)}}$, $B \to (K) \ell \ell' $ where $\ell\ell'$ are various combinations of $μ$ and $τ$, and also lepton flavor violation in the $τ$ decays. We find that a hybrid scenario with additional $U(1)_{B_3-L_2}$ gauge boson provides a common explanation of all these anomalies.
description: 16 pages, 3 figures
A Building-Integrated Semi-Transparent PV-Generator Endowed with a Mono-Axial Solar Tracker
Creators: name: Carbone, R.
Publisher: name: WIP
Year: 2017
Subjects: PV System Performance and Integration
Building, Infrastructure and Landscape Applications

description: 33rd European Photovoltaic Solar Energy Conference and Exhibition; 2600-2603
description: In this paper we would like to describe constitutive characteristics of a photovoltaic generator
conceived for being fully integrated in a building (BIPV-generator) also showing how it can be endowed by an
unconventional and innovative "under-glass" mono-axial solar tracker. The semi-transparency special feature of our
proposed BIPV-generator will be also underlined and valorized from the energy and architectural point of views.
Some deepening about very low installation and maintenance costs of our BIPV-generator will be also given and the
high reliability of its unconventional "under-glass" and mono-axial solar tracker will be underlined. Finally, we
would like also to present and discuss the results of some first experimental measurements operated on a small-power
prototype also introducing future tests to be performed on an additional prototype we are building "ad hoc" for
performing “long-time” comparative tests among: (i) the on-field performances of the proposed BIPV-generator, (ii)
the on-field performances of a conventional PV-generator built on the basis of the same quantity of PV-cells, with no
solar-tracker and (iii) the on-field performances of a conventional PV-generator built on the basis of the maximum
quantity of PV-cells which fully cover the available surface exposed to the sunlight (with no solar-tracker).
Oblique internal-wave chain resonance over seabed corrugations
Creators: name: Couston, Louis-Alexandre
name: Liang, Yong
name: Alam, Mohammad-Reza
Publisher: name: arXiv
Year: 2016
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: We show that monochromatic long-crested corrugations on an otherwise flat seafloor can coherently scatter the energy of an oblique incident internal wave to multiple multi-directional higher-mode waves via a series of resonant interactions. We demonstrate that a resonance between seabed corrugations and a normally or slightly oblique incident internal wave results in a series of follow-up resonant interactions, which take place between the same corrugations and successively resonated shorter waves. A chain resonance of internal waves that carries energy to small scales is thus obtained, and we find that the Richardson number decreases by several orders of magnitude over the corrugated patch. If the incidence angle is large, and the incident wave perfectly satisfies a resonance condition with the topography, it turns out that not many higher-mode resonance or near-resonance conditions can be satisfied, such that energy stays confined within the first few modes. Nevertheless, if the incident waves are sufficiently detuned from satisfying a perfect resonance condition with the seabed corrugations, then we show that this frequency detuning may balance off the large detuning due to oblique incidence, leading to a chain resonance that again carries energy to small scales. The evolution of the incident and resonated wave amplitudes is predicted from the envelope equation for internal waves over resonant seabed topography in a three-dimensional rotating fluid, which we derive considering the Boussinesq and $f$-plane approximations with $f$ the Coriolis frequency, linear density stratification and small-amplitude corrugations. Our results suggest that topographic features on the ocean floor with a dominant wavenumber vector, through the chain resonance mechanism elucidated here, may play a more important role than previously thought in the enhancement of diapycnal mixing and energy dissipation.
Intra-Day Forecasts of PV Power with Numerical Weather Prediction Data and Machine Learning in Kyushu, Japan
Creators: name: Fonseca Jr., J.G.S.
name: Uno, F.
name: Oozeki, T.
name: Ogimoto, K.
Publisher: name: WIP
Year: 2017
Subjects: PV System Performance and Integration
Solar Resource and Forecasting

description: 33rd European Photovoltaic Solar Energy Conference and Exhibition; 2475-2479
description: In this study we verify the typical levels of error of intra-day forecasts of regional PV power generation
for the Kyushu island in Japan. To do that, we applied a method to yield continuous intra-day forecasts with a
variable lead time (2h to 24h ahead of time). The method requires the use of numerical weather prediction, NWP data,
recently measured data, and machine learning to model the relation between input and output variables. Forecast of
hourly PV power generation were done for 3 years considering a scenario of high penetration of PV power in Kyushu.
The PV power forecasts were based on insolation measurements and NWP data yielded by the meso-scale model of
the Japan Meteorological Agency, JMA. The results show that the annual root mean square error normalized by the
PV installed capacity, NRMSE, varied from 0.0297 GWh/GWpeak to 0.0318 GWh/GWpeak for hour-ahead forecasts
(calculated with values from 5h to 20h of each day of the target period). The same error varied from 0.0753
GWh/GWpeak to 0.0820 GWh/GWpeak for 24 hours ahead forecasts. Furthermore, the results also show for how long
the use of recent clearness index values, or its persistence, is effective to reduce forecast errors. For all 3 years of
results, past clearness index use was effective for forecasts of up to 6 hours-ahead. For a lead time longer than that its
use did not have any meaningful effect on the forecasts.
Bile acids inhibit human purinergic receptor P2X4 in a heterologous expression system
Creators: name: Ilyaskin, Alexandr V.
name: Sure, Florian
name: Nesterov, Viatcheslav
name: Haerteis, Silke
name: Korbmacher, Christoph
Publisher: name: Universität Regensburg
Year: 2019
Subjects: subject: SODIUM-CHANNEL ENAC; ION-CHANNEL; ALLOSTERIC MODULATION; ATP; ACTIVATION; IDENTIFICATION; PHYSIOLOGY; MECHANISM; MEMBRANE; ETHANOL;
subject: 570 Biowissenschaften, Biologie

description: We recently demonstrated that bile acids, especially tauro-deoxycholic acid (t-DCA), modify the function of the acid-sensing ion channel ASIC1a and other members of the epithelial sodium channel (ENaC)/degenerin (DEG) ion channel family. Surprisingly, ASIC1 shares a high degree of structural similarity with the purinergic receptor P2X4, a nonselective cation channel transiently activated by ATP. P2X4 is abundantly expressed in the apical membrane of bile duct epithelial cells and is therefore exposed to bile acids under physiological conditions. Here, we hypothesize that P2X4 may also be modulated by bile acids and investigate whether t-DCA and other common bile acids affect human P2X4 heterologously expressed in Xenopus laevis oocytes. We find that application of either t-DCA or unconjugated deoxycholic acid (DCA; 250 mu M) causes a strong reduction (similar to 70%) of ATP-activated P2X4-mediated whole-cell currents. The inhibitory effect of 250 mu M taurochenodeoxycholic acid is less pronounced (similar to 30%), and 250 mu M chenodeoxycholic acid, cholic acid, or tauro-cholic acid did not significantly alter P2X4-mediated currents. t-DCA inhibits P2X4 in a concentration-dependent manner by reducing the efficacy of ATP without significantly changing its affinity. Single-channel patch-clamp recordings provide evidence that t-DCA inhibits P2X4 by stabilizing the channel's closed state. Using site-directed mutagenesis, we identifiy several amino acid residues within the transmembrane domains of P2X4 that are critically involved in mediating the inhibitory effect of t-DCA on P2X4. Importantly, a W46A mutation converts the inhibitory effect of t-DCA into a stimulatory effect. We conclude that t-DCA directly interacts with P2X4 and decreases ATP-activated P2X4 currents by stabilizing the closed conformation of the channel.
Indication of band flattening at the Fermi level in a strongly correlated electron system
Creators: name: Melnikov, M. Yu.
name: Shashkin, A. A.
name: Dolgopolov, V. T.
name: Huang, S. -H.
name: Liu, C. W.
name: Kravchenko, S. V.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Using ultra-high quality SiGe/Si/SiGe quantum wells at millikelvin temperatures, we experimentally compare the energy-averaged effective mass, $m$, with that at the Fermi level, $m_F$, and verify that the behaviours of these measured values are qualitatively different. With decreasing electron density (or increasing interaction strength), the mass at the Fermi level monotonically increases in the entire range of electron densities, while the energy-averaged mass saturates at low densities. The qualitatively different behaviour reveals a precursor to the interaction-induced single-particle spectrum flattening at the Fermi level in this electron system.
Pliospalax sp. Kormos 1932
Creators: name: Güleç, Erksin Savaş
name: Sevim, Ayla
name: Pehlevan, Cesur
name: Kaya, Ferhat
Publisher: name: Zenodo
Year: 2007
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Mammalia
Rodentia
Muridae
Pliospalax

description: cf. Pliospalax sp.
description: Published as part of Güleç, Erksin Savaş, Sevim, Ayla, Pehlevan, Cesur & Kaya, Ferhat, 2007, A new great ape from the late Miocene of Turkey, pp. 153-158 in Anthropological Science 115 (2) on page 154, DOI: 10.1537/ase.070501, http://zenodo.org/record/3098249
Assessing Façade-Integrated Photovoltaics: A Methodology for Their Preliminary Assessment
Creators: name: Zammit, Y.
name: Borg, S.P.
Publisher: name: WIP
Year: 2017
Subjects: PV System Performance and Integration
Building, Infrastructure and Landscape Applications

description: 33rd European Photovoltaic Solar Energy Conference and Exhibition; 2532-2536
description: One strategy typically utilized to reduce the energy demand of buildings is the use of onsite renewables, typically photovoltaic systems. In this context, whereas the roof space allocated for photovoltaics is quickly reaching saturation, façade-integrated photovoltaics could be a good alternative. Unfortunately, however, compared to roof-installed photovoltaics, such systems require a higher design commitment, frequently accompanied with cost uncertainties, which are often cumbersome to assess in traditional building design. To address this the research being presented in this paper, describes a methodology which would enable building designers to preliminary assess their proposed design technical and economic potential in a quick and easy manner. The developed methodology was tested on one particular building, showing how the technical and economic performance varies depending of the inputs set by the building designer. Additionally, a section was also included to show the effect of façade orientation on the total monthly and annual energy yield, showing how façade-integrated photovoltaics which are not predominantly South facing should not be discarded a priori for not having an optimum orientation.
Modeling Classroom Occupancy using Data of WiFi Infrastructure in a University Campus
Creators: name: Mohottige, Iresha Pasquel
name: Gharakheili, Hassan Habibi
name: Sivaraman, Vijay
name: Moors, Tim
Publisher: name: arXiv
Year: 2021
Subjects: subject: Signal Processing (eess.SP)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Universities worldwide are experiencing a surge in enrollments, therefore campus estate managers are seeking continuous data on attendance patterns to optimize the usage of classroom space. As a result, there is an increasing trend to measure classrooms attendance by employing various sensing technologies, among which pervasive WiFi infrastructure is seen as a low cost method. In a dense campus environment, the number of connected WiFi users does not well estimate room occupancy since connection counts are polluted by adjoining rooms, outdoor walkways, and network load balancing. In this paper, we develop machine learning based models to infer classroom occupancy from WiFi sensing infrastructure. Our contributions are three-fold: (1) We analyze metadata from a dense and dynamic wireless network comprising of thousands of access points (APs) to draw insights into coverage of APs, behavior of WiFi connected users, and challenges of estimating room occupancy; (2) We propose a method to automatically map APs to classrooms using unsupervised clustering algorithms; and (3) We model classroom occupancy using a combination of classification and regression methods of varying algorithms. We achieve 84.6% accuracy in mapping APs to classrooms while the accuracy of our estimation for room occupancy is comparable to beam counter sensors with a symmetric Mean Absolute Percentage Error (sMAPE) of 13.10%.
description: 23 pages, 20 figures, 8 tables
Portalactaga aff. major
Creators: name: Güleç, Erksin Savaş
name: Sevim, Ayla
name: Pehlevan, Cesur
name: Kaya, Ferhat
Publisher: name: Zenodo
Year: 2007
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Mammalia
Rodentia
Muridae
Portalactaga

description: Portalactaga aff. major
description: Published as part of Güleç, Erksin Savaş, Sevim, Ayla, Pehlevan, Cesur & Kaya, Ferhat, 2007, A new great ape from the late Miocene of Turkey, pp. 153-158 in Anthropological Science 115 (2) on page 154, DOI: 10.1537/ase.070501, http://zenodo.org/record/3098249
Statistical Modeling of Airborne Virus Transmission Through Imperfectly Fitted Face Masks
Creators: name: Lotter, Sebastian
name: Brand, Lukas
name: Schäfer, Maximilian
name: Schober, Robert
Publisher: name: arXiv
Year: 2021
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: The rapid emergence and the disastrous impact of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic on public health, societies, and economies around the world has created an urgent need for understanding the pathways critical for virus transmission. Airborne virus transmission by asymptomatic SARS-CoV-2-infected individuals is considered to be a major contributor to the spread of SARS-CoV-2 and social distancing and wearing of face masks in public have been implemented as countermeasures in many countries. However, a comprehensive risk assessment framework for the airborne transmission of SARS-CoV-2 incorporating realistic assumptions on the filtration of infectious aerosols (IAs) by face masks is not available yet. In particular, in most end-to-end models for airborne virus transmission, it is neglected that the stochastic spread of IAs through imperfectly fitted face masks depends on the dynamics of the breathing of the wearer. In this paper, we consider airborne virus transmission from an infected but asymptomatic person to a healthy person, both wearing imperfectly fitted face masks, in an indoor environment. By framing the end-to-end virus transmission as a Molecular Communications (MC) system, we obtain a statistical description of the number of IAs inhaled by the healthy person subject to the respective configurations of the face masks of both persons. We demonstrate that the exhalation and inhalation air flow dynamics have a significant impact on the stochastic filtering of IAs by the face masks. Furthermore, we show that the fit of the face mask of the infected person can highly impact the infection probability. We conclude that the proposed MC model may contribute a valuable assessment tool to fight the spread of SARS-CoV-2 as it encompasses the randomness of the transmission process and enables comprehensive risk analysis beyond statistical averages.
description: 7 pages, 5 figures, 1 table. Presented at the 8th ACM International Conference on Nanoscale Computing and Communication (NANOCOM)
Application of Stochastic Flows to the Sticky Brownian Motion Equation
Creators: name: Hajri, Hatem
name: Mine, Caglar
name: Arnaudon, Marc
Publisher: name: arXiv
Year: 2016
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics

description: We show how the theory of stochastic flows allows to recover in an elementary way a well known result of Warren on the sticky Brownian motion equation.