cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
An inverse reliability method and its applications in engineering design
Creators: name: Li, Hong
Publisher: name: University of British Columbia
Year: 2009

description: The concepts and methods of reliability theory have been developed to take into account intervening engineering uncertainties in modern engineering design. To achieve a certain performance an engineer must find design parameters which meet corresponding pre-set target reliability levels for the different limit states considered. Traditionally, this inverse reliability problem is implemented by means of "trial and error," using a forward reliability procedure and interpolating the design parameters at the desired reliability. This approach is inefficient and involves difficulties resulting from repetitive forward reliability analysis. Thus, it is desired to develop an efficient and more direct approach to determine the design parameters for specified target reliabilities. A general inverse reliability methodology is proposed in the present work, which allows the direct determination of the design parameters when the corresponding target reliabilities are given. The design parameters can also be associated with random variables, such as their mean and standard deviation. As an extension of the inverse reliability method, an inverse reliability-based optimization procedure is also developed. In contrast to traditional reliability-based optimization, this method permits the separation of the ordinary optimization method and the inverse reliability analysis. For cases requiring an intensive computational effort or having a non-smooth limit state function, a response surface method for inverse analysis is proposed to implement and speed up the calculations. The efficiency and applicability of the proposed method are verified with several practical engineering applications, ranging from offshore and earthquake engineering to manufacturing of carbon fiber reinforced composite components.
Non-Abelian (p,q) Strings in the Warped Deformed Conifold
Creators: name: Thomas, Steven
name: Ward, John
Publisher: name: arXiv
Year: 2006
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We calculate the tension of $(p,q)$-strings in the warped deformed conifold using the non-Abelian DBI action. In the large flux limit, we find exact agreement with the recent expression obtained by Firouzjahi, Leblond and Henry-Tye up to and including order $1/M^2$ terms if $q$ is also taken to be large. Furthermore using the finite $q$ prescription for the symmetrised trace operation we anticipate the most general expression for the tension valid for any $(p,q)$. We find that even in this instance, corrections to the tension scale as $1/M^2$ which is not consistent with simple Casimir scaling.
description: 18 pages, Latex, 1 figure; Added a discussion of the case when the warp factor parameter $b\neq 1$ and typos corrected
SAGRNN: Self-Attentive Gated RNN for Binaural Speaker Separation with Interaural Cue Preservation
Creators: name: Tan, Ke
name: Xu, Buye
name: Kumar, Anurag
name: Nachmani, Eliya
name: Adi, Yossi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Sound (cs.SD)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Most existing deep learning based binaural speaker separation systems focus on producing a monaural estimate for each of the target speakers, and thus do not preserve the interaural cues, which are crucial for human listeners to perform sound localization and lateralization. In this study, we address talker-independent binaural speaker separation with interaural cues preserved in the estimated binaural signals. Specifically, we extend a newly-developed gated recurrent neural network for monaural separation by additionally incorporating self-attention mechanisms and dense connectivity. We develop an end-to-end multiple-input multiple-output system, which directly maps from the binaural waveform of the mixture to those of the speech signals. The experimental results show that our proposed approach achieves significantly better separation performance than a recent binaural separation approach. In addition, our approach effectively preserves the interaural cues, which improves the accuracy of sound localization.
description: 5 pages, accepted by IEEE Signal Processing Letters
Refined Mass Estimate for Bilepton Gauge Boson
Creators: name: Corianò, Claudio
name: Frampton, Paul H.
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Using the most recent experimental data on parameters of the standard electroweak theory, as well as renormalisation group equations with a boundary matching condition, we derive a refined and more accurate value for the mass of the doubly-charged bilepton ($Y^{\pm\pm}$) occurring in the spontaneous breaking of the gauge group $SU(3)_L \times U(1)_X$ to the standard electroweak gauge group $SU(2)_L \times U(1)_Y$. Our result is $M(Y^{\pm\pm}) = (1.29 \pm 0.06)$ TeV.
description: 6 pages. Revised version with additional comments
Temporal and Spatial Data Mining with Second-Order Hidden Models
Creators: name: Mari, Jean-Francois
name: Ber, Florence Le
Publisher: name: arXiv
Year: 2005
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: In the frame of designing a knowledge discovery system, we have developed stochastic models based on high-order hidden Markov models. These models are capable to map sequences of data into a Markov chain in which the transitions between the states depend on the \texttt{n} previous states according to the order of the model. We study the process of achieving information extraction fromspatial and temporal data by means of an unsupervised classification. We use therefore a French national database related to the land use of a region, named Teruti, which describes the land use both in the spatial and temporal domain. Land-use categories (wheat, corn, forest, ...) are logged every year on each site regularly spaced in the region. They constitute a temporal sequence of images in which we look for spatial and temporal dependencies. The temporal segmentation of the data is done by means of a second-order Hidden Markov Model (\hmmd) that appears to have very good capabilities to locate stationary segments, as shown in our previous work in speech recognition. Thespatial classification is performed by defining a fractal scanning ofthe images with the help of a Hilbert-Peano curve that introduces atotal order on the sites, preserving the relation ofneighborhood between the sites. We show that the \hmmd performs aclassification that is meaningful for the agronomists.Spatial and temporal classification may be achieved simultaneously by means of a 2 levels \hmmd that measures the \aposteriori probability to map a temporal sequence of images onto a set of hidden classes.
Dark Matter in the Time of Primordial Black Holes
Creators: name: Bernal, Nicolás
name: Zapata, Óscar
Publisher: name: arXiv
Year: 2020
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Hawking evaporation of primordial black holes (PBH) with masses ranging from $\sim 10^{-1}$ to $\sim 10^9$ g can generate the whole observed dark matter (DM) relic density. However, a second DM production mechanism, like freeze-out or freeze-in, could have also been active in the early universe. Here we study the interplay of these mechanisms, focusing on the scenario where PBHs dominate the energy density of the universe, leading to a nonstandard cosmological era. For concreteness, we use the singlet scalar DM model as an example for this analysis.
description: 11+6 pages, 5 figures. V2 matches version accepted in JCAP
Improving the Global Fitting Method on Non-Linear Time Series Analysis
Creators: name: Barbosa, L. M. C. R.
name: Duarte, L. G. S.
name: Linhares, C. A.
name: da Mota, L. A. C. P.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Mathematical Physics (math-ph)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: In this paper, we are concerned with improving the forecast capabilities of the Global approach to Time Series. We assume that the normal techniques of Global mapping are applied, the noise reduction is performed, etc. Then, using the mathematical foundations behind such approaches, we propose a method that, without a great computational cost, greatly increase the accuracy of the corresponding forecasting.
Denoising Atmospheric Temperature Measurements Taken by the Mars Science Laboratory on the Martian Surface
Creators: name: Zurita-Zurita, S.
name: Escribano, Francisco J.
name: Sáez-Landete, J.
name: Rodríguez-Manfredi, J. A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Information Retrieval (cs.IR)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: In the present article we analyze data from two temperature sensors of the Mars Science Laboratory, which has been active in Mars since August 2012. Temperature measurements received from the rover are noisy and must be processed and validated before being delivered to the scientific community. Currently, a simple Moving Average (MA) filter is used to perform signal denoising. The application of this basic method relies on the assumption that the noise is stationary and statistically independent from the underlying structure of the signal, an arguable assumption in this kind of harsh environment. In this paper, we analyze the application of two alternative methods to process the temperature sensor measurements: the Discrete Wavelet Transform (DWT) and the Hilbert-Huang Transform (HHT). We consider two different datasets, one belonging to the current Martian measurement campaigns, and the other to the Thermal Vacuum Tests. The processing of these datasets allows to separate the random noise from the interference created by other systems. The experiments show that the MA filter may provide useful results under given circumstances. However, the proposed methods allow a better fitting for all the realistic scenarios, while providing the possibility to identify and analyze other interesting signal features and artifacts that could be later studied and classified. The large amount of data to be processed makes computational efficiency an important requirement in this mission. Considering the computational cost and the filtering performance, we propose the method based on DWT as more suitable for this application.
description: 10 pages, 7 figures, accepted for publication at IEEE Transactions on Instrumentation and Measurement
Bericht über die Diözesansynode Rottenburg 1985/86
Creators: name: Jetter, Hartmut
Publisher: name: Ökumenische Rundschau
Year: 2025

description: Ökumenische Rundschau, Bd. 36 Nr. 2 (1987): Ökumenische Rundschau, Band 36, Heft 2
Extraction of Material Properties through Multi-fidelity Deep Learning from Molecular Dynamics Simulation
Creators: name: Islam, Mahmudul
name: Thakur, Md Shajedul Hoque
name: Mojumder, Satyajit
name: Hasan, Mohammad Nasim
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Simulation of reasonable timescales for any long physical process using molecular dynamics (MD) is a major challenge in computational physics. In this study, we have implemented an approach based on multi-fidelity physics informed neural network (MPINN) to achieve long-range MD simulation results over a large sample space with significantly less computational cost. The fidelity of our present multi-fidelity study is based on the integration timestep size of MD simulations. While MD simulations with larger timestep produce results with lower level of accuracy, it can provide enough computationally cheap training data for MPINN to learn an accurate relationship between these low-fidelity results and high-fidelity MD results obtained using smaller simulation timestep. We have performed two benchmark studies, involving one and two component LJ systems, to determine the optimum percentage of high-fidelity training data required to achieve accurate results with high computational saving. The results show that important system properties such as system energy per atom, system pressure and diffusion coefficients can be determined with high accuracy while saving 68% computational costs. Finally, as a demonstration of the applicability of our present methodology in practical MD studies, we have studied the viscosity of argon-copper nanofluid and its variation with temperature and volume fraction by MD simulation using MPINN. Then we have compared them with numerous previous studies and theoretical models. Our results indicate that MPINN can predict accurate nanofluid viscosity at a wide range of sample space with significantly small number of MD simulations. Our present methodology is the first implementation of MPINN in conjunction with MD simulation for predicting nanoscale properties. This can pave pathways to investigate more complex engineering problems that demand long-range MD simulations.
description: 23 pages, 17 figures
Elicitation on indefinites and embedded clauses
Creators: name: Rudolph, Johnny (Soni)
name: Drummond, Emily
Publisher: name: California Language Archive, University of California, Berkeley
Year: 2021
Subjects: subject: nkr

description: Elicitation reviewing material on the particle "ina" and investigating questions on indefinites with "dahi" vs. "se", the distribution of "se" vs. "go" (contrastive topics, appositives, disjunction, etc.), as well as some raising/control with non-finite embedded clauses.
Non-standard interactions in SMEFT confronted with terrestrial neutrino experiments
Creators: name: Du, Yong
name: Li, Hao-Lin
name: Tang, Jian
name: Vihonen, Sampsa
name: Yu, Jiang-Hao
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The Standard Model Effective Field Theory (SMEFT) provides a systematic and model-independent framework to study neutrino non-standard interactions (NSIs). We study the constraining power of the on-going neutrino oscillation experiments T2K, NO$ν$A, Daya Bay, Double Chooz and RENO in the SMEFT framework. A full consideration of matching is provided between different effective field theories and the renormalization group running at different scales, filling the gap between the low-energy neutrino oscillation experiments and SMEFT at the UV scale. We first illustrate our method with a top-down approach in a simplified scalar leptoquark model, showing more stringent constraints from the neutrino oscillation experiments compared to collider studies. We then provide a bottom-up study on individual dimension-6 SMEFT operators and find NSIs in neutrino experiments already sensitive to new physics at $\sim$20 TeV when the Wilson coefficients are fixed at unity. We also investigate the correlation among multiple operators at the UV scale and find it could change the constraints on SMEFT operators by several orders of magnitude compared with when only one operator is considered. Furthermore, we find that accelerator and reactor neutrino experiments are sensitive to different SMEFT operators, which highlights the complementarity of the two experiment types.
description: 45 pages, 14 figures, 8 tables. Simplified appendices and minor revision in texts
Unsupervised Change Detection in Satellite Images with Generative Adversarial Network
Creators: name: Ren, Caijun
name: Wang, Xiangyu
name: Gao, Jian
name: Chen, Huanhuan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Image and Video Processing (eess.IV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Detecting changed regions in paired satellite images plays a key role in many remote sensing applications. The evolution of recent techniques could provide satellite images with very high spatial resolution (VHR) but made it challenging to apply image coregistration, and many change detection methods are dependent on its accuracy.Two images of the same scene taken at different time or from different angle would introduce unregistered objects and the existence of both unregistered areas and actual changed areas would lower the performance of many change detection algorithms in unsupervised condition.To alleviate the effect of unregistered objects in the paired images, we propose a novel change detection framework utilizing a special neural network architecture -- Generative Adversarial Network (GAN) to generate many better coregistered images. In this paper, we show that GAN model can be trained upon a pair of images through using the proposed expanding strategy to create a training set and optimizing designed objective functions. The optimized GAN model would produce better coregistered images where changes can be easily spotted and then the change map can be presented through a comparison strategy using these generated images explicitly.Compared to other deep learning-based methods, our method is less sensitive to the problem of unregistered images and makes most of the deep learning structure.Experimental results on synthetic images and real data with many different scenes could demonstrate the effectiveness of the proposed approach.
2HDM singlet portal to dark matter
Creators: name: Cabrera, M. E.
name: Casas, J. A.
name: Delgado, A.
name: Robles, S.
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Higgs portal models are the most minimal way to explain the relic abundance of the Universe. They add just a singlet that only couples to the Higgs through a single parameter that controls both the dark matter relic abundance and the direct detection cross-section. Unfortunately this scenario, either with scalar or fermionic dark matter, is almost ruled out by the latter. In this paper we analyze the Higgs-portal idea with fermionic dark matter in the context of a 2HDM. By disentangling the couplings responsible for the correct relic density from those that control the direct detection cross section we are able to open the parameter space and find wide regions consistent with both the observed relic density and all the current bounds.
description: 15 pages, 8 figures, 2 tables
Elicitation on indefinites and particle "ina"
Creators: name: Rudolph, Johnny (Soni)
name: Drummond, Emily
Publisher: name: California Language Archive, University of California, Berkeley
Year: 2021
Subjects: subject: nkr

description: Elicitation on indefinites with "dahi"/"hanu" and "se"/"ni", including scope judgments and syntactic distribution, followed by some data on "ina".
Morphology and kinematics of the ionised gas in early-type galaxies
Creators: name: Falcón-Barroso, J.
name: Sarzi, M.
name: Bacon, R.
name: Bureau, M.
name: Cappellari, M.
name: Davies, R. L.
name: Emsellem, E.
name: Fathi, K.
name: Krajnovic, D.
name: Kuntschner, H.
name: McDermid, R. M.
name: Peletier, R. F.
name: de Zeeuw, P. T.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We present results of our ongoing study of the morphology and kinematics of the ionised gas in 48 representative nearby elliptical and lenticular galaxies using the SAURON integral-field spectrograph on the 4.2m William Herschel Telescope. Making use of a recently developed technique, emission is detected in 75% of the galaxies. The ionised-gas distributions display varied morphologies, ranging from regular gas disks to filamentary structures. Additionally, the emission-line kinematic maps show, in general, regular motions with smooth variations in kinematic position angle. In most of the galaxies, the ionised-gas kinematics is decoupled from the stellar counterpart, but only some of them present signatures of recent accretion of gaseous material. The presence of dust is very common in our sample and is usually accompanied by gas emission. Our analysis of the [OIII]/Hbeta emission-line ratios, both across the whole sample as well as within the individual galaxies, suggests that there is no unique mechanism triggering the ionisation of the gas.
description: 8 pages, 2 figures, submitted to "Adaptive Optics-Assisted Integral-Field Spectroscopy", Rutten R.G.M., Benn C.R., Mendez J., eds., May 2005, La Palma (Spain), New Astr. Rev. For full resolution PS, see http://www.strw.leidenuniv.nl/~jfalcon/JFB_AOmeeting_color_hires.ps.gz
title: Graphical Delimitation of Settlement Units. A Tool for Assessing the Compactness of the Urban Structure in the Context of the TOD Index Examination
Creators: name: Fierek, Szymon
name: Kaźmierczak, Bartosz
Publisher: name: Publishing House of Poznan University of Technology
Year: 2023

description: Zeszyty Naukowe Politechniki Poznańskiej. Architektura, Urbanistyka, Architektura Wnętrz, 15, 207-224
Towards a learning centred view of intellectual capital : the value of learning and knowledge in the human resource strategies of innovative small and medium-sized computer service firms in British Columbia
Creators: name: Best, Amanda Jayne
Publisher: name: University of British Columbia
Year: 2009

description: This study examines the value placed on learning and knowledge by innovative small and medium-sized computer service firms, using a framework for analysis adapted from intellectual capital (IC). Knowledge is conceived as a specialized and appreciable asset capable of being acquired, nurtured, developed, managed and commercially exploited. Emphasis is placed on evaluating the strategies and practices that drive company learning and knowledge transfer in smaller computer service companies with respect to developing and making use of the knowledge owned by employees, customers and the corporation. The study evaluates the extent to which short-term commercial objectives impose conceptual boundaries on particular forms of intellectual capital - skill development, experience and recurrent learning. Data is drawn from case studies and a broader, provincial sample of companies based in British Columbia with ten to one hundred employees. The study concludes that small and medium-sized computer service firms narrowly conceptualize and undervalue knowledge in the area of human resource development, where supporting learning processes and structures are often poorly developed. Companies place a premium value on new forms of knowledge with an obvious potential to improve the skills and experience necessary to support commercial products and services. In contrast, learning, knowledge and expertise related to professional development and more long-term organizational and/or career benefits are consistently and systematically marginalized. The study outlines limitations of the IC framework in terms of the intrinsic values attributed to sources and types of knowledge. Of particular concern is the importance attached to formalized, external relationships with customers and the undervaluing of knowledge with less obvious or potentially more long-term commercial value. Suggestions for using the framework in small and medium-sized computer firms include broadening the existing narrow focus of external knowledge sources to encompass the extensive network of business relationships companies exploit, while the undervaluing of knowledge found in professional development is countered by linking benefits to returns from specific, rather than generic commercial goals. Emphasis is placed on potential gains in efficiency and productivity offered by improvements to learning and organizational processes.
Fast Evaluation for Relevant Quantities of Opinion Dynamics
Creators: name: Xu, Wanyue
name: Bao, Qi
name: Zhang, Zhongzhi
Publisher: name: arXiv
Year: 2021
Subjects: subject: Social and Information Networks (cs.SI)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: One of the main subjects in the field of social networks is to quantify conflict, disagreement, controversy, and polarization, and some quantitative indicators have been developed to quantify these concepts. However, direct computation of these indicators involves the operations of matrix inversion and multiplication, which make it computationally infeasible for large-scale graphs with millions of nodes. In this paper, by reducing the problem of computing relevant quantities to evaluating $\ell_2$ norms of some vectors, we present a nearly linear time algorithm to estimate all these quantities. Our algorithm is based on the Laplacian solvers, and has a proved theoretical guarantee of error for each quantity. We execute extensive numerical experiments on a variety of real networks, which demonstrate that our approximation algorithm is efficient and effective, scalable to large graphs having millions of nodes.
IJTIMOIY SOHALARDA INNOVATSION TEXNOLOGIYALARNI RIVOJLANTIRISHNING PEDAGOGIK ASPEKTLARI
Creators: name: Sultanqulova G.F., Nuraliyeva N.
Publisher: name: Zenodo
Year: 2025

description: Annotatsiya: Ushbu maqolada innovatsion texnologiyalar pedagogik jarayon hamda o`qituvchi va o`quvchi faoliyatiga yangilik, o‘zgarishlar kiritish, integratsiya ta’riflari haqida ma`lumotlar berilgan.
Geomorphology of Ulu Peninsula, James Ross Island, Antarctica
Creators: name: Jennings, Stephen J. A.
name: Davies, Bethan J.
name: Nývlt, Daniel
name: Glasser, Neil F.
name: Zbyněk Engel
name: Hrbáček, Filip
name: Carrivick, Jonathan L.
name: Bedřich Mlčoch
name: Hambrey, Michael J.
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: This study presents a 1:25,000 geomorphological map of the northern sector of Ulu Peninsula, James Ross Island, Antarctic Peninsula. The map covers an area of c. 250 km2, and documents the landforms and surficial sediments of one of the largest ice-free areas in Antarctica, based on remote sensing and field-based mapping. The large-scale landscape features are determined by the underlying Cretaceous sedimentary and Neogene volcanic geology, which has been sculpted by overlying ice masses during glacial periods. Paraglacial and periglacial features are superimposed upon remnant glacial features, reflecting the post-glacial evolution of the landscape. The study area can be broadly separated into three geomorphological sectors, according to the dominant contemporary Earth-surface processes; specifically, a glacierised southern sector, a paraglacial-dominated eastern sector, and a periglacial-dominated central/northern sector. This map provides a basis for further interdisciplinary research, and insight into the potential future landscape evolution of other parts of the Antarctic Peninsula as the climate warms.
Torsional waves in a bowed string
Creators: name: Bavu, Eric
name: Smith, John
name: Wolfe, Joe
Publisher: name: arXiv
Year: 2005
Subjects: subject: Classical Physics (physics.class-ph)
subject: FOS: Physical sciences

description: Bowing a string with a non-zero radius exerts a torque, which excites torsional waves. In general, torsional standing waves have higher fundamental frequencies than do transverse standing waves, and there is generally no harmonic relationship between them. Although torsional waves have little direct acoustic effect, the motion of the bow-string contact depends on the sum of the transverse speed v of the string plus the radius times the angular velocity (rw) . Consequently, in some bowing regimes, torsional waves could introduce non-periodicity or jitter to the transverse wave. The ear is sensitive to jitter so, while quite small amounts of jitter are important in the sounds of (real) bowed strings, modest amounts of jitter can be perceived as unpleasant or unmusical. It follows that, for a well bowed string, aperiodicities produced in the transverse motion by torsional waves (and other effects) must be small. Is this because the torsional waves are of small amplitude or because of strong coupling between the torsional and transverse waves? We measure the torsional and transverse motion for a string bowed by an experienced player over a range of tunings. The peaks in (rw), which occur near the start and end of the stick phase in which the bow and string move together, are only several times smaller than v during this phase.
description: 10 pages - Submitted and accepted in Acta Acustica united with Acustica
Gravitational memory effects in Brans-Dicke theory
Creators: name: Hou, Shaoqi
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: There exist gravitational memory effects in Brans-Dicke theory. They are closely related to the Bondi-Metzner-Sachs symmetries living on the null infinity in an isolated system. By studying the asymptotically flat spacetime in Brans-Dicke theory and the asymptotic symmetries, one discovers that the displacement memory effect in the tensor sector is due to the vacuum transition caused by the null energy fluxes panetrating the null infinity, while in the scalar sector, the vacuum transition is due to the angular momentum fluxes. Together with the spin and the center-of-mass memory effects, the displacement memories are constrained by various flux-balance laws.
description: 7 pages, 0 figure. Proceedings of IWARA 2020 Video Conference
Physical and chemical structure of the Serpens filament -- fast formation and gravity-driven accretion
Creators: name: Gong, Y.
name: Belloche, A.
name: Du, F. J.
name: Menten, K. M.
name: Henkel, C.
name: Li, G. X.
name: Wyrowski, F.
name: Mao, R. Q.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The Serpens filament, a prominent elongated structure in a relatively nearby molecular cloud, is believed to be at an early evolutionary stage, so studying its physical and chemical properties can shed light on filament formation and early evolution. The main goal is to address the physical and chemical properties as well as the dynamical state of the Serpens filament at a spatial resolution of $\sim$0.07 pc and a spectral resolution of $\lesssim$0.1~km~s$^{-1}$. We performed $^{13}$CO (1--0), C$^{18}$O (1--0), C$^{17}$O (1--0), $^{13}$CO (2--1), C$^{18}$O (2--1), and C$^{17}$O (2--1) imaging observations toward the Serpens filament with the Institut de Radioastronomie Millim{é}trique 30-m (IRAM-30 m) and Atacama Pathfinder EXperiment (APEX) telescopes. Widespread narrow $^{13}$CO (2--1) self-absorption is observed in this filament, causing the $^{13}$CO morphology to be different from the filamentary structure traced by C$^{18}$O and C$^{17}$O. Our excitation analysis suggests that the opacities of C$^{18}$O transitions become higher than unity in most regions, and this analysis confirms the presence of widespread CO depletion. Further we show that the local velocity gradients have a tendency to be perpendicular to the filament's long axis in the outskirts and parallel to the large-scale magnetic field direction. The magnitudes of the local velocity gradients decrease toward the filament's crest. The observed velocity structure can be a result of gravity-driven accretion flows. The isochronic evolutionary track of the C$^{18}$O freeze-out process indicates the filament is young with an age of $\lesssim$2 Myr. We propose that the Serpens filament is a newly-formed slightly-supercritical structure which appears to be actively accreting material from its ambient gas.
description: 26 pages, 24 figures, 2 tables, accepted for publication in A&A; A 3D view of the C18O(2-1) cube can be found in https://gongyan2444.github.io/gallery.html
MUSE observations towards the lensing cluster A2744: Intersection between the LBG and LAE populations at z $\sim$ 3-7
Creators: name: de La Vieuville, G.
name: Pelló, R.
name: Richard, J.
name: Mahler, G.
name: Lévêque, L.
name: Bauer, F. E.
name: Lagattuta, D. J.
name: Blaizot, J.
name: Contini, T.
name: Guaita, L.
name: Kusakabe, H.
name: Laporte, N.
name: Martinez, J.
name: Maseda, M. V.
name: Schaerer, D.
name: Schmidt, K. B.
name: Verhamme, A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present a study of the intersection between the populations of star forming galaxies (SFGs) selected as either Lyman break galaxies (LBGs) or Lyman-alpha emitters (LAEs) in the redshift range 2.9 - 6.7, within the same volume of universe sampled by the Multi-Unit Spectroscopic Explorer (MUSE) behind the Hubble Frontier Fields lensing cluster A2744. We define three samples of star-forming galaxies: LBG galaxies with an LAE counterpart (92 galaxies), LBG galaxies without LAE counterpart (408 galaxies) and LAE galaxies without an LBG counterpart (46 galaxies). All these galaxies are intrinsically faint due to the lensing nature of the sample (Muv $\ge$ -20.5). The fraction of LAEs among all selected SFGs increases with redshift up to z $\sim$ 6 and decreases for higher redshifts. The evolution of LAE/LBG populations with UV magnitude and Lya luminosity shows that the LAE selection is able to identify intrinsically UV faint galaxies with Muv $\ge$ -15 that are typically missed in the deepest lensing photometric surveys. The LBG population seems to fairly represent the total population of SFGs down to Muv$\sim$-15. Galaxies with Muv$-17$, including galaxies only detected by their Lya emission, with a large scatter. These trends, previously observed in other samples of SFGs at high-$z$, are seen here for very faint Muv$\sim -15$ galaxies, much fainter than in previous studies. There is no clear evidence, based on the present results, for an intrinsic difference on the properties of the two populations selected as LBG and/or LAE. The observed trends could be explained by a combination of several facts, like the existence of different star-formation regimes, the dust content, the relative distribution and morphology of dust and stars, or the stellar populations
Topological disentanglement of linear polymers under tension
Creators: name: Caraglio, Michele
name: Marcone, Boris
name: Baldovin, Fulvio
name: Orlandini, Enzo
name: Stella, Attilio L.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Biological Physics (physics.bio-ph)
subject: Biomolecules (q-bio.BM)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: We develop a theoretical description of the topological disentanglement occurring when torus knots reach the ends of a semi-flexible polymer under tension. These include decays into simpler knots and total unknotting. The minimal number of crossings and the minimal knot contour length are the topological invariants playing a key role in the model. The crossings behave as particles diffusing along the chain and the application of appropriate boundary conditions at the ends of the chain accounts for the knot disentanglement. Starting from the number of particles and their positions, suitable rules allow reconstructing the type and location of the knot moving on the chain. Our theory is extensively benchmarked with corresponding Molecular Dynamics simulations and the results show a remarkable agreement between the simulations and the theoretical predictions of the model.
description: 12 pages, 11 figures
Sitzung des Zentralausschusses des ÖRK vom 16. bis 24. Januar 1987 in Genf
Creators: name: Zumach, Hildegard
Publisher: name: Ökumenische Rundschau
Year: 2025

description: Ökumenische Rundschau, Bd. 36 Nr. 2 (1987): Ökumenische Rundschau, Band 36, Heft 2
Quantum mechanism of Biological Search
Creators: name: Kwon, Younghun
Publisher: name: arXiv
Year: 2006
Subjects: subject: General Physics (physics.gen-ph)
subject: FOS: Physical sciences

description: We wish to suggest an algorithm for biological search including DNA search. Our argument supposes that biological search be performed by quantum search.If we assume this, we can naturally answer the following long lasting puzzles such that "Why does DNA use the helix structure?" and "How can the evolution in biological system occur?".
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment
Creators: name: Nanayakkara, Thesath
name: Clermont, Gilles
name: Langmead, Christopher James
name: Swigon, David
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Sepsis is a potentially life threatening inflammatory response to infection or severe tissue damage. It has a highly variable clinical course, requiring constant monitoring of the patient's state to guide the management of intravenous fluids and vasopressors, among other interventions. Despite decades of research, there's still debate among experts on optimal treatment. Here, we combine for the first time, distributional deep reinforcement learning with mechanistic physiological models to find personalized sepsis treatment strategies. Our method handles partial observability by leveraging known cardiovascular physiology, introducing a novel physiology-driven recurrent autoencoder, and quantifies the uncertainty of its own results. Moreover, we introduce a framework for uncertainty aware decision support with humans in the loop. We show that our method learns physiologically explainable, robust policies that are consistent with clinical knowledge. Further our method consistently identifies high risk states that lead to death, which could potentially benefit from more frequent vasopressor administration, providing valuable guidance for future research
Mathieu Moonshine and Siegel Modular Forms
Creators: name: Govindarajan, Suresh
name: Samanta, Sutapa
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Group Theory (math.GR)
subject: Number Theory (math.NT)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: A second-quantized version of Mathieu moonshine leads to product formulae for functions that are potentially genus-two Siegel Modular Forms analogous to the Igusa Cusp Form. The modularity of these functions do not follow in an obvious manner. For some conjugacy classes, but not all, they match known modular forms. In this paper, we express the product formulae for all conjugacy classes of $M_{24}$ in terms of products of standard modular forms. This provides a new proof of their modularity.
description: 35 pages; v2: Main proposition has been corrected leading to a single formula; referencing has been improved v3: Improved presentation (final version)
EFT for Soft Drop Double Differential Cross Section
Creators: name: Pathak, Aditya
name: Stewart, Iain W.
name: Vaidya, Varun
name: Zoppi, Lorenzo
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We develop a factorization framework to compute the double differential cross section in soft drop groomed jet mass and groomed jet radius. We describe the effective theories in the large, intermediate, and small groomed jet radius regions defined by the interplay of the jet mass and the groomed jet radius measurement. As an application we present the NLL$'$ results for the perturbative moments that are related to the coefficients $C_1$ and $C_2$ that specify the leading hadronization corrections up to three universal parameters. We compare our results with Monte Carlo simulations and a calculation using the coherent branching method.
description: 67 pages + appendices, 12 figures, v2: leading NGLs included and formulae for pp case added
Elicitation on pied piping and question structure
Creators: name: Rudolph, Johnny (Soni)
name: Drummond, Emily
Publisher: name: California Language Archive, University of California, Berkeley
Year: 2021
Subjects: subject: nkr

description: Elicitation on questions with passives and instruments, pied piping of prepositions, and tests for the pseudocleft structure of wh-questions.
$5D$ Solutions to $Λ$CDM Universe Derived from Global Brane Model
Creators: name: Ping, Yongli
name: Xu, Lixin
name: Chang, Baorong
name: Liu, Molin
name: Liu, Hongya
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: An exact solution of brane universe is studied and the result indicates that Friedmann equations on the brane are modified with an extra term. This term can play the role of dark energy and make the universe accelerate. In order to derive the $Λ$CDM Universe from this global brane model, the new solutions are obtained to describe the $5D$ manifold.
description: 7 pages, no figure, accepted by MPLA
HADES RV Programme with HARPS-N at TNG XII. The abundance signature of M dwarf stars with planets
Creators: name: Maldonado, J.
name: Micela, G.
name: Baratella, M.
name: D'Orazi, V.
name: Affer, L.
name: Biazzo, K.
name: Lanza, A. F.
name: Maggio, A.
name: Hernández, J. I. González
name: Perger, M.
name: Pinamonti, M.
name: Scandariato, G.
name: Sozzetti, A.
name: Locci, D.
name: Di Maio, C.
name: Bignamini, A.
name: Claudi, R.
name: Molinari, E.
name: Rebolo, R.
name: Ribas, I.
name: Toledo-Padrón, B.
name: Covino, E.
name: Desidera, S.
name: Herrero, E.
name: Morales, J. C.
name: Suárez-Mascareño, A.
name: Pagano, I.
name: Petralia, A.
name: Piotto, G.
name: Poretti, E.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Most of our current knowledge on planet formation is still based on the analysis of main-sequence, solar-type stars. Conversely, detailed chemical studies of large samples of M-dwarf planet hosts are still missing. We develop for the first time a methodology to determine stellar abundances of elements others than iron for M dwarf stars from high-resolution, optical spectra. Our methodology is based on the use of principal component analysis and sparse Bayesian's methods. We made use of a set of M dwarfs orbiting around an FGK primary with known abundances to train our methods. We applied our methods to derive stellar metalliticies and abundances of a large sample of M dwarfs observed within the framework of current radial velocity surveys. We then used a sample of nearby FGK stars to cross-validate our technique by comparing the derived abundance trends in the M dwarf sample with those found on the FGK stars. The metallicity distribution of the different subsamples shows that M dwarfs hosting giant planets show a planet-metallicity correlation as well as a correlation with the stellar mass. M dwarfs hosting low-mass planets do not seem to follow the planet-metallicity correlation. We also found that the frequency of low-mass planets does not depend on the mass of the stellar host. These results seem in agreement with previous works. However, we note that for giant planet hosts our metallicities predict a weaker planet metallicity correlation but a stronger mass-dependency than photometric values. We show, for the first time, that there seems to be no differences in the abundance distribution of elements different from iron between M dwarfs with and without known planets. Our data shows that low-mass stars with planets follow the same metallicity, mass, and abundance trends than their FGK counterparts.
description: Accepted for publication by Astronomy & Astrophysics
Systematic uncertainties in the precise determination of the strangeness magnetic moment of the nucleon
Creators: name: Leinweber, D. B.
name: Boinepalli, S.
name: Thomas, A. W.
name: Williams, A. G.
name: Young, R. D.
name: Zhang, J. B.
name: Zanotti, J. M.
Publisher: name: arXiv
Year: 2005
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: Systematic uncertainties in the recent precise determination of the strangeness magnetic moment of the nucleon are identified and quantified. In summary, G_M^s = -0.046 \pm 0.019 μ_N.
description: Invited presentation at PAVI '04, International Workshop on Parity Violation and Hadronic Structure, Laboratoire de Physique Subatomique et de Cosmologie, Grenoble, France, June 8-11, 2004. 7 pages, 16 figures
Agricultural Trade of the Western Hemisphere: A Statistical Review
Creators: name: Statistical Section, Western Hemisphere Branch
name: Statistical Section, Western Hemisphere Branch
Publisher: name: Unknown
Year: 1972
Subjects: subject: International Relations/Trade
subject: Research Methods/ Statistical Methods
subject: United States
subject: Canada
subject: Latin America
subject: Agricultural trade

description: Major Standard International Trade Classification (SITC) groupings are used to report U.S. agricultural trade with countries and regions of the Western Hemisphere, 1962-70; and trade of Western Hemisphere countries with the world, 1962-68 or 1962-69. Trade of Canada, Argentina, Brazil, Chile, Colombia, Mexico, Peru, and Venezuela is shown by principal trading partners as well as by major SITC groups and leading commodities, 1965-69.
Subgap conductivity in SIN-junctions of high barrier transparency
Creators: name: Lotkhov, S. V.
name: Balashov, D. V.
name: Khabipov, M. I.
name: Buchholz, F. -I.
name: Zorin, A. B.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We investigate the current-voltage characteristics of high-transparency superconductor-insulator-normal metal (SIN) junctions with the specific tunnel resistance below 30 kOhm per square micron. The junctions were fabricated from different superconducting and normal conducting materials, including Nb, Al, AuPd and Cu. The subgap leakage currents were found to be appreciably larger than those given by the standard tunnelling model. We explain our results using the model of two-electron tunnelling in the coherent diffusive transport regime. We demonstrate that even in the high-transparency SIN-junctions, a noticeable reduction of the subgap current can be achieved by splitting a junction into several submicron sub-junctions. These structures can be used as nonlinear low-noise shunts in Rapid-Single-Flux-Quantum (RSFQ) circuitry for controlling Josephson qubits.
description: 6 pages, 5 figures, 1 table