cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The Design Strain Sensitivity of the Schenberg Spherical Resonant Antenna for Gravitational Waves
Creators: name: Liccardo, V.
name: Lenzi, C. H.
name: Marinho, R. M.
name: Aguiar, O. D.
name: Frajuca, C.
name: Bortoli, F. S.
name: Costa, C. A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: The main purpose of this study is to review the Schenberg resonant antenna transfer function and to recalculate the antenna design strain sensitivity for gravitational waves. We consider the spherical antenna with six transducers in the semi dodecahedral configuration. When coupled to the antenna, the transducer-sphere system will work as a mass-spring system with three masses. The first one is the antenna effective mass for each quadrupole mode, the second one is the mass of the mechanical structure of the transducer first mechanical mode and the third one is the effective mass of the transducer membrane that makes one of the transducer microwave cavity walls. All the calculations are done for the degenerate (all the sphere quadrupole mode frequencies equal) and non-degenerate sphere cases. We have come to the conclusion that the 'ultimate' sensitivity of an advanced version of Schenberg antenna (aSchenberg) is around the standard quantum limit (although the parametric transducers used could, in principle, surpass this limit). However, this sensitivity, in the frequency range where Schenberg operates, has already been achieved by the two aLIGOs in the O3 run, therefore, the only reasonable justification for remounting the Schenberg antenna and trying to place it in the sensitivity of the standard quantum limit would be to detect gravitational waves with another physical principle, different from the one used by laser interferometers. This other physical principle would be the absorption of the gravitational wave energy by a resonant mass like Schenberg.
Multicast Multigroup Beamforming under Per-antenna Power Constraints
Creators: name: Christopoulos, Dimitrios
name: Chatzinotas, Symeon
name: Ottersten, Bjorn
Publisher: name: arXiv
Year: 2014
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: Linear precoding exploits the spatial degrees of freedom offered by multi-antenna transmitters to serve multiple users over the same frequency resources. The present work focuses on simultaneously serving multiple groups of users, each with its own channel, by transmitting a stream of common symbols to each group. This scenario is known as physical layer multicasting to multiple co-channel groups. Extending the current state of the art in multigroup multicasting, the practical constraint of a maximum permitted power level radiated by each antenna is tackled herein. The considered per antenna power constrained system is optimized in a maximum fairness sense. In other words, the optimization aims at favoring the worst user by maximizing the minimum rate. This Max-Min Fair criterion is imperative in multicast systems, where the performance of all the receivers listening to the same multicast is dictated by the worst rate in the group. An analytic framework to tackle the Max-Min Fair multigroup multicasting scenario under per antenna power constraints is therefore derived. Numerical results display the accuracy of the proposed solution and provide insights to the performance of a per antenna power constrained system.
description: Presented in IEEE ICC 2014, Sydney, AUS. arXiv admin note: substantial text overlap with arXiv:1406.7557
Probability aggregation in time-series: Dynamic hierarchical modeling of sparse expert beliefs
Creators: name: Satopää, Ville A.
name: Jensen, Shane T.
name: Mellers, Barbara A.
name: Tetlock, Philip E.
name: Ungar, Lyle H.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Most subjective probability aggregation procedures use a single probability judgment from each expert, even though it is common for experts studying real problems to update their probability estimates over time. This paper advances into unexplored areas of probability aggregation by considering a dynamic context in which experts can update their beliefs at random intervals. The updates occur very infrequently, resulting in a sparse data set that cannot be modeled by standard time-series procedures. In response to the lack of appropriate methodology, this paper presents a hierarchical model that takes into account the expert's level of self-reported expertise and produces aggregate probabilities that are sharp and well calibrated both in- and out-of-sample. The model is demonstrated on a real-world data set that includes over 2300 experts making multiple probability forecasts over two years on different subsets of 166 international political events.
description: Published in at http://dx.doi.org/10.1214/14-AOAS739 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Exact Inference in High-order Structured Prediction
Creators: name: Ke, Chuyang
name: Honorio, Jean
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: In this paper, we study the problem of inference in high-order structured prediction tasks. In the context of Markov random fields, the goal of a high-order inference task is to maximize a score function on the space of labels, and the score function can be decomposed into sum of unary and high-order potentials. We apply a generative model approach to study the problem of high-order inference, and provide a two-stage convex optimization algorithm for exact label recovery. We also provide a new class of hypergraph structural properties related to hyperedge expansion that drives the success in general high-order inference problems. Finally, we connect the performance of our algorithm and the hyperedge expansion property using a novel hypergraph Cheeger-type inequality.
MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction
Creators: name: Zhang, Pengtao
name: Zhang, Junlin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: New findings in natural language processing (NLP) demonstrate that the strong memorization capability contributes a lot to the success of Large Language Models (LLM). This inspires us to explicitly bring an independent memory mechanism into CTR ranking model to learn and memorize cross features' representations. In this paper, we propose multi-Hash Codebook NETwork (HCNet) as the memory mechanism for efficiently learning and memorizing representations of cross features in CTR tasks. HCNet uses a multi-hash codebook as the main memory place and the whole memory procedure consists of three phases: multi-hash addressing, memory restoring, and feature shrinking. We also propose a new CTR model named MemoNet which combines HCNet with a DNN backbone. Extensive experimental results on three public datasets and online test show that MemoNet reaches superior performance over state-of-the-art approaches. Besides, MemoNet shows scaling law of large language model in NLP, which means we can enlarge the size of the codebook in HCNet to sustainably obtain performance gains. Our work demonstrates the importance and feasibility of learning and memorizing representations of cross features, which sheds light on a new promising research direction.
INFLUENCE OF POST-IMPLEMENTATION MANAGEMENT PRACTICES ON SUSTAINABILITY OF INCOME GENERATING PROJECTS AMONG YOUTH GROUPS LIVING WITH DISABILITY IN NAKURY COUNTY, KENYA.pdf
Creators: name: Anyango, Sharon
name: Anyieni, Abel Gwaka
Publisher: name: figshare
Year: 2023
Subjects: Other economics not elsewhere classified

description: Income generating activities are crucial for promoting initiative, responsibility and self-sustenance. Despite all the proper structure in place such as good leadership, training, financial management and monitoring and evaluation it is quite worrying that youth with disabilities projects are still collapsing thereby not achieving their intended objectives. The aim of the study was to assess the influence of post-implementation management practices on sustainability of income generating projects among youth groups living with disability in Nakuru County. The research study used descriptive research design. The target population of the study comprised of 83 youth members from 3 groups of youth living with disabilities in Nakuru town. The study also targeted 7 officials with administrative duties from PWD offices in Nakuru County Headquarters. The three youth groups formed 3 stratum while the officials from PWD office formed one strata. The study used 60% to get a sample size from each of the strata. The sample size of this study therefore was 54 respondents. The study used primary data. Open ended questions permitted free responses from the respondents, without providing or suggesting any structure for the replies. Closed ended questions enabled the researcher to analyse data easily using the stated alternatives. The researcher visited the self-help groups and collected data by administering the questionnaires and interviews. Content validity was used in this study. Qualitative data was analysed by use of content analysis presented in a prose form. On the other hand, Quantitative data was analysed by use of Statistical Package for Social Sciences (SPSS) version 21. In addition, descriptive and inferential statistics was used in this study. Descriptive statistics such as percentages, frequencies, measures of central tendencies (mean) and measures of dispersion (standard deviation and co-efficient of variation) was used to describe the characteristics of the target population. Data was then presented in graphs and tables. Further, a multiple regression analysis was used to establish the relationship between the dependent and the independent variables. From the findings the researcher concluded that for income generating activities to perform well, one needs a good education, group members should also receive good training on business. Training plays a very important role in addressing confusion, confidence and commitment to issues found within income generating projects, which affect members and managers.
D2.2: RBRargo|2000 sensor and float experiment description
Creators: name: Siiriä, Simo-Matti
name: André, Xavier
name: Amice, Martin
name: Maze, Guillaume
Publisher: name: Zenodo
Year: 2020

description: RBRArgo3 (formerly named RBRArgo|2000 OEM) Conductivity/Temperature/Depth (CTD) sensor available for the core Argo mission. The tests are performed with nke instrumentation Arvor-I floats and the integration is managed by IFREMER. At the start of the Euro-Argo RISE project this sensor model is still considered to be on “Stage II: Global Argo Pilot” by the Argo Steering Team (see here for a description). The testing and developments described here aim to determine if the sensor setup is matured to be approved by the Argo community.
 FMI and IFREMER have prepared at-sea tests for four floats equipped with the RBRArgo3 CTD. Two floats have been deployed in the open ocean (2020, IFREMER) and two will be in the marginal Baltic Sea (2021, FMI). These floats and sensor performances will be monitored, and later further analysed.
The UK Infrared Telescope M33 monitoring project. IV. Variable red giant stars across the galactic disc
Creators: name: Javadi, Atefeh
name: Saberi, Maryam
name: van Loon, Jacco Th.
name: Khosroshahi, Habib
name: Golabatooni, Najmeh
name: Mirtorabi, Mohammad Taghi
Publisher: name: arXiv
Year: 2014
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We have conducted a near-infrared monitoring campaign at the UK InfraRed Telescope (UKIRT), of the Local Group spiral galaxy M33 (Triangulum). The main aim was to identify stars in the very final stage of their evolution, and for which the luminosity is more directly related to the birth mass than the more numerous less-evolved giant stars that continue to increase in luminosity. In this fourth paper of the series, we present a search for variable red giant stars in an almost square degree region comprising most of the galaxy's disc, carried out with the WFCAM instrument in the K band. These data, taken during the period 2005--2007, were complemented by J- and H-band images. Photometry was obtained for 403 734 stars in this region; of these, 4643 stars were found to be variable, most of which are Asymptotic Giant Branch (AGB) stars. The variable stars are concentrated towards the centre of M33, more so than low-mass, less-evolved red giants. Our data were matched to optical catalogues of variable stars and carbon stars and to mid-infrared photometry from the Spitzer Space Telescope. Most dusty AGB stars had not been previously identified in optical variability surveys, and our survey is also more complete for these types of stars than the Spitzer survey. The photometric catalogue is made publicly available at the Centre de Donnees astronomiques de Strasbourg.
description: Accepted for publication in MNRAS
Multiaxial fatigue crack orientation and early growth investigation considering the nonproportional loading
Creators: name: Wei, Song
name: Xuesong, Liu
name: Filippo, Berto
Publisher: name: Физическая мезомеханика
Year: 2017
Subjects: МНОГООСНАЯ УСТАЛОСТЬ
НАПРАВЛЕНИЕ РОСТА ТРЕЩИНЫ
НЕПРОПОРЦИОНАЛЬНОЕ НАГРУЖЕНИЕ
КРИТИЧЕСКАЯ ПЛОСКОСТЬ
ПОЛЯРНОЕ ПРЕДСТАВЛЕНИЕ
MULTIAXIAL FATIGUE
CRACKING ORIENTATION
NONPROPORTIONAL LOADING
CRITICAL PLANE
POLAR REPRESENTATION

description: The paper presents a comprehensive investigation of fatigue cracking behaviors under various nonproportional multiaxial cycle loading paths based on the critical plane approach. The maximum normal and shear stress/strain fields are presented to analyze the crack orientation and early growth directions in polar diagrams. The experimental observed crack paths and directions were compared with maximum strain loci of each angle to determine multiaxial fatigue failure mode. The results show that crack orientation and growth paths appear in the maximum shear and normal strain plane, respectively. Likelihood cracking regions of various loading paths are predicted according the determined failure mode. Besides, nonproportionality factor is introduced to characterize the degree of multiaxiality on these loading paths.
Measuring inflaton couplings via dark radiation as $ΔN_{\rm eff}$ in CMB
Creators: name: Ghoshal, Anish
name: Lalak, Zygmunt
name: Porey, Shiladitya
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We study the production of a beyond the Standard Model (BSM) free-streaming relativistic particles which contribute to $N_{eff}$ and investigate how much the predictions for the inflationary analysis change. We consider inflaton decay as the source of this dark radiation (DR) and use the Cosmic Microwave Background (CMB) data from $\textit{Planck}$-2018 to constrain the scenarios and identify the parameter space involving couplings and masses of the inflaton that will be within the reach of next-generation CMB experiments like SPT-3G, CMB-S4, $\text{CMB-Bh$\overline{a}$rat}$, PICO, CMB-HD, etc. We find that if the BSM particle is produced only from the interaction with inflaton along with Standard Model (SM) relativistic particles, then its contribution to $N_{eff}$ is a monotonically increasing function of the branching fraction, $B_X$ of the inflaton to the BSM particle $X$; $\textit{Planck}$ bound on $N_{eff}$ rules out such $B_X \gtrsim 0.09$. Considering two different analyses of $\textit{Planck}$+BICEP data together with other cosmological observations, $N_{eff}$ is treated as a free parameter, which relaxes the constraints on scalar spectral index ($n_s$) and tensor-to-scalar ratio ($r$). The first analysis leads to predictions on the inflationary models like Hilltop inflation being consistent with the data. Second analysis rules out the possibility that BSM particle $X$ producing from the inflaton decay in Coleman-Weinberg Inflation or Starobinsky Inflation scenarios. To this end, we assume that SM Higgs is produced along with the BSM particle. We explore the possibilities that $X$ can be either a scalar or a fermion or a gauge boson and consider possible interactions with inflaton and find out the permissible range on the allowed parameter space Planck and those which will be within the reaches of future CMB observations.
description: 33 pages, 18 figures. Published in Phys. Rev. D
Normal approximation of Kabanov-Skorohod integrals on Poisson spaces
Creators: name: Last, Günter
name: Molchanov, Ilya
name: Schulte, Matthias
Publisher: name: arXiv
Year: 2022
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: Primary: 60F05, secondary: 60G55, 60H05, 60H07

description: We consider the normal approximation of Kabanov-Skorohod integrals on a general Poisson space. Our bounds are for the Wasserstein and the Kolmogorov distance and involve only difference operators of the integrand of the Kabanov-Skorohod integral. The proofs rely on the Malliavin-Stein method and, in particular, on multiple applications of integration by parts formulae. As examples, we study some linear statistics of point processes that can be constructed by Poisson embeddings and functionals related to Pareto optimal points of a Poisson process.
Auslander conditions and tilting-like cotorsion pairs
Creators: name: Wang, Jian
name: Li, Yunxia
name: Wu, Jinyong
name: Hu, Jiangsheng
Publisher: name: arXiv
Year: 2023
Subjects: subject: Rings and Algebras (math.RA)
subject: K-Theory and Homology (math.KT)
subject: FOS: Mathematics

description: We study homological behavior of modules satisfying the Auslander condition. Assume that $\mathcal{AC}$ is the class of left $R$-modules satisfying the Auslander condition. It is proved that each cycle of an exact complex with each term in $\mathcal{AC}$ belongs to $\mathcal{AC}$ for any ring $R$. As a consequence, we show that for any left Noetherian ring $R$, $\mathcal{AC}$ is a resolving subcategory of the category of left $R$-modules if and only if $_RR$ satisfies the Auslander condition if and only if each Gorenstein projective left $R$-module belongs to $\mathcal{AC}$. As an application, we prove that, for an Artinian algebra $R$ satisfying the Auslander condition, $R$ is Gorenstein if and only if $\mathcal{AC}$ coincides with the class of Gorenstein projective left $R$-modules if and only if $({\mathcal{AC}^{< \infty}},(\mathcal{AC}^{<\infty})^\bot)$ is a tilting-like cotorsion pair if and only if (${\mathcal{AC}^{< \infty}},\mathcal{I}$) is a tilting-like cotorsion pair, where $\mathcal{AC}^{<\infty}$ is the class of left $R$-modules with finite $\mathcal{AC}$-dimension and $\mathcal{I}$ is the class of injective left $R$-modules. This leads to some criteria for the validity of the Auslander and Reiten conjecture which says that an Artinian algebra satisfying the Auslander condition is Gorenstein.
description: 13 pages,final version
Prototypical quadruplet for few-shot class incremental learning
Creators: name: Palit, Sanchar
name: Banerjee, Biplab
name: Chaudhuri, Subhasis
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Scarcity of data and incremental learning of new tasks pose two major bottlenecks for many modern computer vision algorithms. The phenomenon of catastrophic forgetting, i.e., the model's inability to classify previously learned data after training with new batches of data, is a major challenge. Conventional methods address catastrophic forgetting while compromising the current session's training. Generative replay-based approaches, such as generative adversarial networks (GANs), have been proposed to mitigate catastrophic forgetting, but training GANs with few samples may lead to instability. To address these challenges, we propose a novel method that improves classification robustness by identifying a better embedding space using an improved contrasting loss. Our approach retains previously acquired knowledge in the embedding space, even when trained with new classes, by updating previous session class prototypes to represent the true class mean, which is crucial for our nearest class mean classification strategy. We demonstrate the effectiveness of our method by showing that the embedding space remains intact after training the model with new classes and outperforms existing state-of-the-art algorithms in terms of accuracy across different sessions.
description: Submitted to IJCNN 2023
Sum Rate Maximizing Multigroup Multicast Beamforming under Per-antenna Power Constraints
Creators: name: Christopoulos, Dimitrios
name: Chatzinotas, Symeon
name: Ottersten, Bjorn
Publisher: name: arXiv
Year: 2014
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: A multi-antenna transmitter that conveys independent sets of common data to distinct groups of users is herein considered, a model known as physical layer multicasting to multiple co-channel groups. In the recently proposed context of per-antenna power constrained multigroup multicasting, the present work focuses on a novel system design that aims at maximizing the total achievable throughput. Towards increasing the system sum rate, the available power resources need to be allocated to well conditioned groups of users. A detailed solution to tackle the elaborate sum rate maximization multigroup multicast problem under per-antenna power constraints is therefore derived. Numerical results are presented to quantify the gains of the proposed algorithm over heuristic solutions. Besides Rayleigh faded channels, the solution is also applied to uniform linear array transmitters operating in the far field, where line-ofsight conditions are realized. In this setting, a sensitivity analysis with respect to the angular separation of co-group users is included. Finally, a simple scenario providing important intuitions for the sum rate maximizing multigroup multicast solutions is elaborated.
description: Submitted to IEEE GlobeCom 2014, Austin, TX. arXiv admin note: substantial text overlap with arXiv:1406.7699, arXiv:1406.7557
Cyclone Ana Impacts on Livelihoods and Agricultural Systems: Experiences and Voices from Chikwawa and Nsanje Districts
Creators: name: Nyirenda, Zephania
name: Mkumbwa, Solomon
name: Chadza, William
name: Muyanga, Milu
name: Nyirenda, Zephania
name: Mkumbwa, Solomon
name: Chadza, William
name: Muyanga, Milu
Publisher: name: Unknown
Year: 2022
Subjects: subject: Agricultural and Food Policy
subject: Environmental Economics and Policy
subject: Food Security and Poverty
subject: International Development
subject: Cyclone Ana
subject: Humanitarian assistance
subject: Agricultural inputs
subject: Resettlement scheme
subject: Climate change

description: • With many households losing nearly all they owned, swift humanitarian support is needed for flood victims, including food, shelter, and clothing. • Swift support to the flood victims with agricultural production inputs, especially seeds, to take advantage of the dimba season and alluvial deposits from the floods. • Agencies providing direct support to flood victims should coordinate with the Department of Disaster Management (DoDMA) to ensure equitable distribution of relief items to all victims. • Rehabilitate and strengthen infrastructure, including feeder roads, main roads, bridges, irrigation schemes, schools, and others destroyed or shaken by the floods. • Implement a permanent resettlement scheme for households in Chikwawa and Nsanje districts, especially in flood-prone areas as the occurrence, frequency, and severity of floods in Chikwawa and Nsanje is likely to continue with climate change.
BIO4AFRICA_Tropical agro-wastes for environmentally friendly non-load bearing bio-composites and comparative analysis with wood panels_2023.11.21_v1
Creators: name: Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Publisher: name: Zenodo
Year: 2023

description: This dataset presents the tropical agro-wastes for environmentally friendly non-load bearing bio-composites and comparative analysis with wood panels.
INAF Trieste Astronomical Observatory Information Technology Framework
Creators: name: Sara, Bertocco
name: David, Goz
name: Luca, Tornatore
name: Antonio, Ragagnin
name: Maggio, Gianmarco
name: Federico, Gasparo
name: Claudio, Vuerli
name: Giuliano, Taffoni
name: Marco, Molinaro
Publisher: name: Zenodo
Year: 2023

description: Presented at ADASS XXIX
On the density limit in the helicon plasma sources
Creators: name: Kotelnikov, Igor A.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: Existence of the density limit in the helicon plasma sources is critically revisited. The low- and high-frequency regimes of a helicon plasma source operation are distinguished. In the low-frequency regime with $ω< \sqrt{ω_{ci}ω_{ce}}$ the density limit is deduced from the Golant-Stix criterion of the accessibility of the lower hybrid resonance. In the high-frequency case, $ω> \sqrt{ω_{ci}ω_{ce}}$, an appropriate limit is given by the Shamrai-Taranov criterion. Both these criteria are closely related to the phenomenon of the coalescence of the helicon wave with the Trivelpiece-Gould mode. We argue that theoretical density limits are not achieved in existing devices but might be met in the future with the increase of applied rf power.
description: Submitted to Physics of Plasmas
Analysis of chromospheric flux-flux relationships of M Dwarfs using visible and near-infrared CARMENES spectra.
Creators: name: Labarga Ávalos, Fernando
name: Montes, David
name: Duque-Arribas, Christian
name: Lopez-Gallifa, A.
name: Caballero, J. A.
name: Jeffers, S. V.
name: Reiners, A.
name: Ribas, I.
name: Quirrenbach, A
name: Amado, P.J.
Publisher: name: Zenodo
Year: 2022
Subjects: Stellar Activity
carmenes
Chromospheric Activity

description: Exploiting the huge amount of data provided by the CARMENES survey, this work aims to study the chromospheric activity of M dwarfs based on a sub-sample (active RV-loud M dwarfs) of CARMENES GTO sample. Using the spectral subtraction technique and calibrations of the continuum-flux near the line of interest, the available information on the chromospheric activity flux is extracted. Most of the chromospheric indicators included in the spectral range of the spectrograph, ranging from visible (VIS) - that include the Na I D1&D2 He I D3, and Hα lines - to near-infrared (NIR) - that include the Ca II IRT, He I λ10830, Paschenα and Paschenβ lines - are used. For the implementation of the spectral subtraction technique, a Python code (iSTARMOD) based on a previous FORTRAN one, formerly used by the research group, is used. The synthetic spectra for effective temperatures in the range [2400, 7000] K, allows through the calibrations a comparison of the flux-flux relationships with previous works performed for F, G and K dwarfs. The studies of flux-flux relationships of lines formed at different chromosphere layers seek for a better understanding of the magnetic activity of M-type dwarf stars and try to determine the number of different chromospheric emitters populations, deduced from the non-universality of these relationships for Ca II IRT lines.
Adaptive Selective Sampling for Online Prediction with Experts
Creators: name: Castro, Rui M.
name: Hellström, Fredrik
name: van Erven, Tim
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We consider online prediction of a binary sequence with expert advice. For this setting, we devise label-efficient forecasting algorithms, which use a selective sampling scheme that enables collecting much fewer labels than standard procedures, while still retaining optimal worst-case regret guarantees. These algorithms are based on exponentially weighted forecasters, suitable for settings with and without a perfect expert. For a scenario where one expert is strictly better than the others in expectation, we show that the label complexity of the label-efficient forecaster scales roughly as the square root of the number of rounds. Finally, we present numerical experiments empirically showing that the normalized regret of the label-efficient forecaster can asymptotically match known minimax rates for pool-based active learning, suggesting it can optimally adapt to benign settings.
Analysis of chromospheric flux-flux relationships of M Dwarfs using visible and near-infrared CARMENES spectra.
Creators: name: Ávalos, Fernando Labarga
Publisher: name: Zenodo
Year: 2022
Subjects: Stellar Activity
carmenes
Chromospheric Activity

description: Exploiting the huge amount of data provided by CARMENES survey, this work aims to study the chromospheric activity of M dwarfs based on a sub-sample (active RV-loud M dwarfs) of CARMENES GTO sample. Using the spectral subtraction technique and calibrations of the continuum-flux near the line of interest, the available information on the chromospheric activity flux is extracted. Most of the chromospheric indicators included in the spectral range of the spectrograph, ranging from visible (VIS) - that include the Na I D1&D2 He I D3, and Hα lines - to near-infrared (NIR) - that include the Ca II IRT, He I λ10830, Paschenα and Paschenβ lines - are used. For the implementation of the spectral subtraction technique, a Python code (iSTARMOD) based on a previous FORTRAN one, formerly used by the research group, is used. The synthetic spectra for effective temperatures in the range [2400, 7000] K, allows through the calibrations a comparison of the flux-flux relationships with previous works performed for F, G and K dwarfs. The studies of flux-flux relationships of lines formed at different chromosphere layers seek for a better understanding of the magnetic activity of M-type dwarf stars and try to determine the number of different chromospheric emitters populations, deduced from the non-universality of these relationships for Ca II IRT lines.
Constraining Very High Mass Population III Stars through He II Emission in Galaxy BDF-521 at z = 7.01
Creators: name: Cai, Zheng
name: Fan, Xiaohui
name: Jiang, Linhua
name: Dave, Romeel
name: Oh, S. Peng
name: Yang, Yujin
name: Zabludoff, Ann
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Numerous theoretical models have long proposed that a strong He II 1640 emission line is the most prominent and unique feature of massive Population III (Pop III) stars in high redshift galaxies. The He II 1640 line strength can constrain the mass and IMF of Pop III stars. We use F132N narrowband filter on the Hubble Space Telescope's (HST) Wide Field Camera 3 (WFC3) to look for strong He II lambda 1640 emission in the galaxy BDF-521 at z=7.01, one of the most distant spectroscopically-confirmed galaxies to date. Using deep F132N narrowband imaging, together with our broadband imaging with F125W and F160W filters, we do not detect He II emission from this galaxy, but place a 2-sigma upper limit on the flux of 5.3x10^-19 ergs s^-1 cm^-2. This measurement corresponds to a 2-sigma upper limit on the Pop III star formation rate (SFR_PopIII) of ~ 0.2 M_solar yr^-1, assuming a Salpeter IMF with 50< M/M_solar < 1000. From the high signal-to-noise broadband measurements in F125W and F160W, we fit the UV continuum for BDF-521. The spectral flux density is ~ 3.6x 10^-11 lambda^-2.32 ergs s^-1 cm^-2 A^-1, which corresponds to an overall unobscured SFR of ~ 5 M_solar yr^-1. Our upper limit on SFR_PopIII suggests that massive Pop III stars represent < 4% of the total star formation. Further, the HST high resolution imaging suggests that BDF-521 is an extremely compact galaxy, with a half-light radius of 0.6 kpc.
description: 14 pages, 2 figures, Accepted for Publication in ApJL
Analysis of chromospheric flux-flux relationships of M Dwarfs using visible and near-infrared CARMENES spectra.
Creators: name: Labarga Ávalos, Fernando
name: Montes, David
name: Duque-Arribas, Christian
name: Lopez-Gallifa, A.
name: Caballero, J. A.
name: Jeffers, S. V.
name: Reiners, A.
name: Ribas, I.
name: Quirrenbach, A
name: Amado, P.J.
Publisher: name: Zenodo
Year: 2022
Subjects: Stellar Activity
carmenes
Chromospheric Activity

description: Exploiting the huge amount of data provided by CARMENES survey, this work aims to study the chromospheric activity of M dwarfs based on a sub-sample (active RV-loud M dwarfs) of CARMENES GTO sample. Using the spectral subtraction technique and calibrations of the continuum-flux near the line of interest, the available information on the chromospheric activity flux is extracted. Most of the chromospheric indicators included in the spectral range of the spectrograph, ranging from visible (VIS) - that include the Na I D1&D2 He I D3, and Hα lines - to near-infrared (NIR) - that include the Ca II IRT, He I λ10830, Paschenα and Paschenβ lines - are used. For the implementation of the spectral subtraction technique, a Python code (iSTARMOD) based on a previous FORTRAN one, formerly used by the research group, is used. The synthetic spectra for effective temperatures in the range [2400, 7000] K, allows through the calibrations a comparison of the flux-flux relationships with previous works performed for F, G and K dwarfs. The studies of flux-flux relationships of lines formed at different chromosphere layers seek for a better understanding of the magnetic activity of M-type dwarf stars and try to determine the number of different chromospheric emitters populations, deduced from the non-universality of these relationships for Ca II IRT lines.
The Front-End electronics for the liquid Argon instrumentation of the LEGEND-200 experiment
Creators: name: Costa, I. Abritta
name: Budano, A.
name: Burlac, N.
name: Paissan, F.
name: Salamanna, G.
name: Tagnani, D.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: In this paper we provide a detailed technical description of the Front-End (FE) electronics for the liquid Argon instrumentation of the LEGEND-200 experiment, searching for the very rare, hypothetical neutrinoless double $β$ decay process at the Italian Laboratori Nazionali del Gran Sasso. The design stems from the need to read out the silicon photo-multiplier response to the scintillation light in the liquid Argon with excellent single-photon resolution. The FE electronics is required to be placed far from the detectors to meet the experiment's radio-purity constraints. This constraint represents a challenge for a high signal-to-noise ratio. We address how this could be achieved in a stable way. The system was installed in July 2021 and has been commissioned with the rest of LEGEND-200, proving we could attain a very low overall level of electrical noise of 250 $μ$V peak-to-peak.
THE PHYLOGENOMICS OF THRIPS (THYSANOPTERA)
Creators: name: Stanford-Beale, David A
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Host-parasite interactions
Evolutionary ecology
Animal systematics and taxonomy
Phylogeny and comparative analysis
Genomics
Genetics not elsewhere classified

description:
 Thrips, Thysanoptera, represent an ancient (~407 m.y.a.) order of ~6000 tiny insects from 9 families. Despite the small size of the order, thrips have a diversity of life histories, diets, and survival strategies. Thrips represent a challenge to fieldworkers and axonomists alike due to the morphological similarity between species and the lack of homologies between families. Recent molecular evidence has reopened debate over the phylogenetic relationships of the families of Thysanoptera. In this thesis we use genomic approaches to elucidate and clarify the early nodes in order to answer evolutionary questions about the Thysanoptera, their mitochondrion symbiotes, and their coevolutionary interactions with a group of economically important viruses; tospoviruses. Our results support previous ordinal hypotheses and show families in both sub-orders radiating around the emergence of the angiosperms ~120 m.y.a. We show that all thrips lineages likely have highly rearranged mitochondrial genomes, even on an intraspecies level, and that this rearrangement phenomena occurs very quickly in evolutionary time. We provide comment on the caution that must be taken with mitochondrial loci in any phylogenetic analysis with this new evidence and argue for the impact of among-site-rate-heterogeneity to be further investigated within thrips hylogenetics. We show that much more data is needed before thrips and tospovirus relationships can be fully elucidated but that two dueling hypotheses are emergent from our studies: either 5 very new separate vector/virus relationships, or one very old relationship that has been lost by the vast amount of thrips. We call for targeted taxa selection and show how new genomic methods can target certain taxa based upon the identification of assembled proteins from illumine shotgun read data.
Biased Random Access Codes
Creators: name: Alves, Gabriel Pereira
name: Gigena, Nicolas
name: Kaniewski, Jędrzej
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: A random access code (RAC) is a communication task in which the sender encodes a random message into a shorter one to be decoded by the receiver so that a randomly chosen character of the original message is recovered with some probability. Both the message and the character to be recovered are assumed to be uniformly distributed. In this paper, we extend this protocol by allowing more general distributions of these inputs, which alters the encoding and decoding strategies optimizing the protocol performance, with either classical or quantum resources. We approach the problem of optimizing the performance of these biased RACs with both numerical and analytical tools. On the numerical front, we present algorithms that allow a numerical evaluation of the optimal performance over both classical and quantum strategies and provide a Python package designed to implement them, called RAC-tools. We then use this numerical tool to investigate single-parameter families of biased RACs in the $n^2 \mapsto 1$ and $2^d \mapsto 1$ scenarios. For RACs in the $n^2 \mapsto 1$ scenario, we derive a general upper bound for the cases in which the inputs are not correlated, which coincides with the quantum value for $n=2$ and, in some cases for $n=3$. Moreover, it is shown that attaining this upper bound self-tests pairs or triples of rank-1 projective measurements, respectively. An analogous upper bound is derived for the value of RACs in the $2^d \mapsto 1$ scenario, which is shown to be always attainable using mutually unbiased measurements if the distribution of input strings is unbiased.
description: 14 + 11 pages, 13 figures, 3 tables. Comments are welcome!
BIO4AFRICA_Adapting bio-based technologies to local conditions in rural sub-Saharan African regions can diversify local economic opportunities and support sustainable community development_20231011_v1
Creators: name: Munster Technological University
Publisher: name: Zenodo
Year: 2023

description: This datasets presents the adaption of bio-based technologies to local conditions in rural sub-Saharan African regions that can diversify local economic opportunities and support sustainable community development.
Instrumental Variables: An Econometrician's Perspective
Creators: name: Imbens, Guido W.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: I review recent work in the statistics literature on instrumental variables methods from an econometrics perspective. I discuss some of the older, economic, applications including supply and demand models and relate them to the recent applications in settings of randomized experiments with noncompliance. I discuss the assumptions underlying instrumental variables methods and in what settings these may be plausible. By providing context to the current applications, a better understanding of the applicability of these methods may arise.
description: Published in at http://dx.doi.org/10.1214/14-STS480 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Supplemental data for the manuscript: Efficacy and safety of weekly somatrogon vs daily somatropin in children with growth hormone deficiency: a phase 3 study
Creators: name: Deal, Cheri L.
name: Steelman, Joel
name: Vlachopapadopoulou, Elpis
name: Stawerska, Renata
name: Silverman, Lawrence A.
name: Phillip, Moshe
name: Kim, Ho-Seong
name: Ko, CheolWoo
name: Malievskiy, Oleg
name: Cara, Jose F.
name: L. Roland, Carl
name: Taylor, Carrie Turich
name: Valluri, Srinivas Rao
name: Wajnrajch, Michael
name: Pastrak, Aleksandra
name: Miller, Bradley
Publisher: name: Pfizer
Year: 2022
Subjects: Endocrinology
Paediatrics not elsewhere classified

description: This is supplemental data for this manuscript:
Supplemental Methods – This is a description of the additional inclusion and exclusion criteria and the adverse events of special interest.
Supplemental Table S1 – This dataset describes the incidence and severity of all-causality treatment-emergent adverse events.
Supplemental Table S2 – This dataset describes the treatment-related adverse events stratified according to whether subjects had two consecutive increases in IGF-1 SDS >2
Supplemental Table S3 – This dataset shows the values for glucose metabolism for subjects throughout the study.
Supplemental Figure S1 – This dataset shows the height velocities for all the individual subjects.
Supplemental Figure S2 – This dataset shows the instances of injection site pain for subjects throughout the study.
CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency
Creators: name: Hanafy, Walid A.
name: Liang, Qianlin
name: Bashir, Noman
name: Irwin, David
name: Shenoy, Prashant
Publisher: name: arXiv
Year: 2023
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: Cloud platforms are increasing their emphasis on sustainability and reducing their operational carbon footprint. A common approach for reducing carbon emissions is to exploit the temporal flexibility inherent to many cloud workloads by executing them in periods with the greenest energy and suspending them at other times. Since such suspend-resume approaches can incur long delays in job completion times, we present a new approach that exploits the elasticity of batch workloads in the cloud to optimize their carbon emissions. Our approach is based on the notion of "carbon scaling," similar to cloud autoscaling, where a job dynamically varies its server allocation based on fluctuations in the carbon cost of the grid's energy. We develop a greedy algorithm for minimizing a job's carbon emissions via carbon scaling that is based on the well-known problem of marginal resource allocation. We implement a CarbonScaler prototype in Kubernetes using its autoscaling capabilities and an analytic tool to guide the carbon-efficient deployment of batch applications in the cloud. We then evaluate CarbonScaler using real-world machine learning training and MPI jobs on a commercial cloud platform and show that it can yield i) 51% carbon savings over carbon-agnostic execution; ii) 37% over a state-of-the-art suspend-resume policy; and iii) 8% over the best static scaling policy.
Supplementary document for Efficient and compact sol-gel TiO₂ thermo-optic microring resonator modulator - 6043151.pdf
Creators: name: Chen, Zequn
name: Wei, Maoliang
name: Luo, Ye
name: Jian, Jialing
name: Ye, Yuting
name: Yin, Yue-xin
name: Sun, Chunlei
name: Zhong, Chuyu
name: Si, Ke
name: Zhang, Da-Ming
Publisher: name: Optica Publishing Group
Year: 2022
Subjects: Uncategorized

description: simulation data
Finiteness Properties of Certain Topological Graph Algebras
Creators: name: Schafhauser, Christopher
Publisher: name: arXiv
Year: 2014
Subjects: subject: Operator Algebras (math.OA)
subject: FOS: Mathematics
subject: 46L05

description: Let $E = (E^0, E^1, r, s)$ be a topological graph with no sinks such that $E^0$ and $E^1$ are compact. We show that when $C^*(E)$ is finite, there is a natural isomorphism $C^*(E) \cong C(E^\infty) \rtimes \mathbb{Z}$, where $E^\infty$ is the infinite path space of $E$ and the action is given by the backwards shift on $E^\infty$. Combining this with a result of Pimsner, we show the properties of being AF-embeddable, quasidiagonal, stably finite, and finite are equivalent for $C^*(E)$ and can be characterized by a natural "combinatorial" condition on $E$.
Replication of De Vries et al. (2015) - Perceptions of greenwashing
Creators: name: Løhre, Erik
Publisher: name: Open Science Framework
Year: 2023
Subjects: subject: Psychology
subject: FOS: Psychology
subject: Social and Behavioral Sciences
subject: Social Psychology

description: The project aims to conduct a close replication of Experiment 2 in de Vries et al. (2015): “Sustainability or profitability? How communicated motives for environmental policy affect public perceptions of corporate greenwashing”, published in Corporate Social Responsibility and Environmental Management. The original study investigated perceived greenwashing when an oil and gas company invested in an environmental measure. The study showed that when the company communicated that the investment was made for environmental reasons, people perceived more greenwashing than when a profit motive was communicated. In this study, we will replicate the original study (i.e., compare greenwashing perceptions when environmental and profit motives are communicated), and will also include several extensions: (1) a mixed-motive condition where the company communicates both environmental and profit motives; (2) an alternative scenario where the company investing in an environmental measure is a construction company rather than an oil company; (3) individual difference measures of attitudes to corporate social responsibility and beliefs about climate change.
Policy-Based Reinforcement Learning for Assortative Matching in Human Behavior Modeling
Creators: name: Deng, Ou
name: Jin, Qun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Multiagent Systems (cs.MA)
subject: FOS: Computer and information sciences

description: This paper explores human behavior in virtual networked communities, specifically individuals or groups' potential and expressive capacity to respond to internal and external stimuli, with assortative matching as a typical example. A modeling approach based on Multi-Agent Reinforcement Learning (MARL) is proposed, adding a multi-head attention function to the A3C algorithm to enhance learning effectiveness. This approach simulates human behavior in certain scenarios through various environmental parameter settings and agent action strategies. In our experiment, reinforcement learning is employed to serve specific agents that learn from environment status and competitor behaviors, optimizing strategies to achieve better results. The simulation includes individual and group levels, displaying possible paths to forming competitive advantages. This modeling approach provides a means for further analysis of the evolutionary dynamics of human behavior, communities, and organizations in various socioeconomic issues.
description: In the process of publishing the HCII 2023, Part II, LNCS 14029 proceedings