cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Adaptive Proactive Learning with Cost-Reliability Tradeoff
Creators: name: Yang, Liu
name: Carbonell, Jaime G.
Publisher: name: Carnegie Mellon University
Year: 2009
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: Proactive Learning is a generalized form of active learning where the learner must reach out to multiple oracles exhibiting different costs and reliabilities (label noise). One of the its major goals is to capture the cost-noise tradeoff in oracle selection. Sequential active learning exhibits coarse accuracy at the beginning and progressively refine prediction at later stages. The ability to learn oracle accuracies over time and select better oracles or oracle ensembles lead to potentially faster error reduction rate as a function of total cost, and thus improve its cost complexity. To realize this potential, we propose a statistical model that adapts to a range of accuracies at different stages of active learning. In a more general scenario, we formulate the problem as maximum submodular coverage subject to a budget envelope.
Deformations of Compact Coassociative 4-folds with Boundary
Creators: name: Kovalev, Alexei
name: Lotay, Jason D.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics

description: Coassociative 4-folds are a particular class of 4-dimensional submanifolds which are defined in a 7-dimensional manifold M with a G_2 structure given by a `positive' differential 3-form, sometimes called G_2-form. Assuming that a G_2-form on M is closed, we study deformations of a compact coassociative submanifold N with boundary contained in fixed, codimension 1 submanifold S of M with a compatible Hermitian symplectic structure. We show that `small' coassociative deformations of N with special Lagrangian boundary in S are unobstructed and form a smooth moduli space of finite dimension not greater than the first Betti number of the boundary of N. It is also shown that N is `stable' under small deformations of the closed G_2-form on the ambient 7-manifold M. The results can be compared to those for special Lagrangian submanifolds of Calabi--Yau manifolds proved by A.Butscher in math.DG/0110052.
description: 22 pages. v2: largely rewritten, correcting an error in the previous version, examples and references added
Adaptive Gaussian Process for Short-TermWind Speed Forecasting
Creators: name: Xiaoqian  Jiang
name: Dong, Bing
name: Xie, Le
name: Sweeney, Latanya
Publisher: name: Carnegie Mellon University
Year: 2010
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: We study the problem of short term wind speed prediction, which is a critical factor for effective wind power generation. This is a challenging task due to the complex and stochastic behavior of the wind environment. Observing various periods in the wind speed time series present different patterns, we suggest a nonlinear adaptive framework to model various hidden dynamic processes. The model is essentially data driven, which leverages non-parametric Heteroscdastic Gaussian Process to model relevant patterns for short term prediction. We evaluate our model on two different real world wind speed datasets from National Data Buoy Center. We compare our results to state-of-arts algorithms to show improvement in terms of both Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE).
title: Avant-propos_Pour le cinéaste professionnel et amateur
Creators: name: AmateurS
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020

description: Avant-propos
description: ID_PARA_00756
Adaptive Control Techniques for Dynamic Visual Repositioning of Hand-Eye Robotic Systems
Creators: name: N. P. Papanikolopoulos
name: Khosla, Pradeep
Publisher: name: Carnegie Mellon University
Year: 1992
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: Using active monocular vision for 3-D visual control tasks is difficult since the translational and the rotational degrees of freedom are strongly coupled. This paper addresses several issues in 3D visual control and presents adaptive control schemes for the the problem of robotic visual servoing (eye-in-hand configuration) around a static rigid target. The objective is to move the image projections of several feature poinb of the static rigid target to some desired image positions The inverse perspective transformation is assumed partially unknown. The adaptive controllers compensate for the servoing errors, the partially unknown camera parameters, and the computational delays which are introduced by the time-consuming vision algorithms. We present a stability analysis along with a study of the conditions that the feature points must satisfy in order for the problem to be solvable. Finally, several experimental results are presented to verify the validity and the efficacy of the proposed algorithms.
Primordial Helium Abundance from CMB: a constraint from recent observations and a forecast
Creators: name: Ichikawa, Kazuhide
name: Sekiguchi, Toyokazu
name: Takahashi, Tomo
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We studied a constraint on the primordial helium abundance Y_p from current and future observations of CMB. Using the currently available data from WMAP, ACBAR, CBI and BOOMERANG, we obtained the constraint as Y_p = 0.25^{+0.10}_{-0.07} at 68% C.L. We also provide a forecast for the Planck experiment using the Markov chain Monte Carlo approach. In addition to forecasting the constraint on Y_p, we investigate how assumptions for Y_p affect constraints on the other cosmological parameters.
description: 17 pages, 6 figures, 4 tables; update after WMAP 5-year results, accepted for publication in Phys. Rev. D
Computing Periods of Hypersurfaces
Creators: name: Sertöz, Emre Can
Publisher: name: arXiv
Year: 2018
Subjects: subject: Algebraic Geometry (math.AG)
subject: Symbolic Computation (cs.SC)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: 32G20, 14C30, 14D07, 14K20, 68W30

description: We give an algorithm to compute the periods of smooth projective hypersurfaces of any dimension. This is an improvement over existing algorithms which could only compute the periods of plane curves. Our algorithm reduces the evaluation of period integrals to an initial value problem for ordinary differential equations of Picard-Fuchs type. In this way, the periods can be computed to extreme-precision in order to study their arithmetic properties. The initial conditions are obtained by an exact determination of the cohomology pairing on Fermat hypersurfaces with respect to a natural basis.
description: 33 pages; Final version. Fixed typos, minor expository changes. Changed code repository link
Network synchronization: Optimal and Pessimal Scale-Free Topologies
Creators: name: Donetti, Luca
name: Hurtado, Pablo I.
name: Munoz, Miguel A.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: By employing a recently introduced optimization algorithm we explicitely design optimally synchronizable (unweighted) networks for any given scale-free degree distribution. We explore how the optimization process affects degree-degree correlations and observe a generic tendency towards disassortativity. Still, we show that there is not a one-to-one correspondence between synchronizability and disassortativity. On the other hand, we study the nature of optimally un-synchronizable networks, that is, networks whose topology minimizes the range of stability of the synchronous state. The resulting ``pessimal networks'' turn out to have a highly assortative string-like structure. We also derive a rigorous lower bound for the Laplacian eigenvalue ratio controlling synchronizability, which helps understanding the impact of degree correlations on network synchronizability.
description: 11 pages, 4 figs, submitted to J. Phys. A (proceedings of Complex Networks 2007)
ACV: An Arithmetic Circuit Verifier
Creators: name: Yirng-An  Chen
name: Bryant, Randal
Publisher: name: Carnegie Mellon University
Year: 1996
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description:  Based on a hierarchical verification methodology, we present an arithmetic circuit verifier ACV, in which circuits expressed in a hardware description language, also called ACV, are symbolically verified using Binary Decision Diagrams for Boolean functions and multiplicative Binary Moment Diagrams (*BMDs) for wordlevel functions. A circuit is described in ACV as a hierarchy of modules. Each module has a structural definition as an interconnectionof logic gates and other modules. Modules may also have functional descriptions, declaring the numeric encodings of the inputs and outputs, as well as specifying their functionality in terms of arithmetic expressions. Verification then proceeds recursively, proving that each module in the hierarchy having a functional description, including the toplevel one, realizes its specification. The language and the verifier contain additional enhancements for overcoming some of the difficulties in applying *BMDbased verification to circuits computing functions such as division and square root. ACV has successfully verified a number of circuits, implementing such functions as multiplication, division, and square root, with word sizes up to 256 bits.  
Azimuthal and Single Spin Asymmetries in Hard Scattering Processes
Creators: name: D'Alesio, U.
name: Murgia, F.
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In this article we review the present understanding of azimuthal and single spin asymmetries for inclusive and semi-inclusive particle production in unpolarized and polarized hadronic collisions at high energy and moderately large transverse momentum. After summarizing the experimental information available, we discuss and compare the main theoretical approaches formulated in the framework of perturbative QCD. We then present in some detail a generalization of the parton model with inclusion of spin and intrinsic transverse momentum effects. In this context, we extensively discuss the phenomenology of azimuthal and single spin asymmetries for several processes in different kinematical configurations. A comparison with the predictions of other approaches, when available, is also given. We finally emphasize some relevant open points and challenges for future theoretical and experimental investigation.
description: 70 pages, 34 ps figures. Invited review paper to be published in Progress in Particle and Nuclear Physics
Deep Learning Methods for Low-resource Emotion-related Tasks
Creators: name: Hosseini, Mahshid
Publisher: name: University of Illinois at Chicago
Year: 2024

description: Despite that pre-training on a large corpus of text has manifested substantial gains on many NLP tasks, effectively employing such paradigms depends on the presence of tens of thousands of labeled samples. However, the time-consuming and labor-intensive annotation process has made it challenging to obtain large labeled datasets in real-world scenarios like computer-assisted therapy sessions where the relevant empathy or emotion data might not be present at a large scale. Given the subjective nature of an author’s intent and other intrinsic complexities of empathy and emotions, labeling such data requires a nuanced understanding and interpretation, which is not always straightforward. Individual interpretations of emotions can vary due to personal experiences, cultural backgrounds, and biases. As a result, creating large datasets that reflect a universally accepted labeling of emotional states or empathetic responses is not just expensive but also complex. Furthermore, contextual complexities such as the implicit expression of empathy or emotion which require deeper reasoning beyond mere surface-level lexical patterns, contribute to the scarcity of accurately large labeled datasets in domains that deal with empathy or emotion.

In this thesis, we propose methods to overcome these challenges posed by data scarcity in emotion-related text classification tasks. In our research, we incorporate underlying inductive biases into our models via domain-adaptive pre-training and multi-task learning with knowledge distillation, which result in better performance when integrating data from relevant carefully chosen domains and tasks. Furthermore, we aim to learn not only accurate but also well-calibrated models to improve model trustworthiness in low-resource settings. Specifically, our models provide calibrated confidence so that the low-confidence emotion or empathy examples are passed on to human experts. We achieve this using novel knowledge distillation and data augmentation techniques based on MixUp and contrastive learning. We particularly show that when the labeled data is limited, mixing augmented contrastive samples based on how they contribute to the model learning helps to improve the performance. Last, we present a novel data-agnostic strategy for prompt-based fine-tuning that leverages feature moments as a data augmentation technique and employs training dynamics to allow more informative samples to be concatenated for generating demonstrations as input context.
Learn to segment single cells with deep distance estimator and deep cell detector
Creators: name: Wang, Weikang
name: Taft, David A.
name: Chen, Yi-Jiun
name: Zhang, Jingyu
name: Wallace, Callen T.
name: Xu, Min
name: Watkins, Simon C.
name: Xing, Jianhua
Publisher: name: arXiv
Year: 2018
Subjects: subject: Quantitative Methods (q-bio.QM)
subject: FOS: Biological sciences

description: Single cell segmentation is critical and challenging in live cell imaging data analysis. Traditional image processing methods and tools require time-consuming and labor-intensive efforts of manually fine-tuning parameters. Slight variations of image setting may lead to poor segmentation results. Recent development of deep convolutional neural networks(CNN) provides a potentially efficient, general and robust method for segmentation. Most existing CNN-based methods treat segmentation as a pixel-wise classification problem. However, three unique problems of cell images adversely affect segmentation accuracy: lack of established training dataset, few pixels on cell boundaries, and ubiquitous blurry features. The problem becomes especially severe with densely packed cells, where a pixel-wise classification method tends to identify two neighboring cells with blurry shared boundary as one cell, leading to poor cell count accuracy and affecting subsequent analysis. Here we developed a different learning strategy that combines strengths of CNN and watershed algorithm. The method first trains a CNN to learn Euclidean distance transform of binary masks corresponding to the input images. Then another CNN is trained to detect individual cells in the Euclidean distance transform. In the third step, the watershed algorithm takes the outputs from the previous steps as inputs and performs the segmentation. We tested the combined method and various forms of the pixel-wise classification algorithm on segmenting fluorescence and transmitted light images. The new method achieves similar pixel accuracy but significant higher cell count accuracy than pixel-wise classification methods do, and the advantage is most obvious when applying on noisy images of densely packed cells.
description: 5 figures, 3 supplemental figures
ACTS Theory: Extending the Model of Bounded Rationality
Creators: name: Carley, Kathleen
name: Prietula, Michael J
Publisher: name: Carnegie Mellon University
Year: 1998
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: In this paper we propose an extension to the traditional model of bounded rationality and incorporate the extended model into a theory of organizational behavior. We argue that organizations are collections of tasks and intelligent agents engaged in performing those tasks, both situated within an organizational setting. Organizational behavior is an emergent property of such collections and is constrained by the agent, the task, and the situation. We propose that a unified theory of organizational behavior is possible, but only if agents, tasks, and situations are specified at a sufficient level of detail, and only if that specification embodies both the agents' mental models of the task and social-situation and the task and social-situation. Inattention to relevant details of the agent, task, or situation (and their interactions) may produce misleading results. We describe a candidate theory, ACTS theory, that integrates Agents who are Cognitively-restricted, Task-oriented, and Socially-situated in an interlinked set of representational systems. We suggest that the complexity of the theory warrants its realization and testing in a computational form, and that there exist candidate computational theories of cognitive agents and organizational situations. We illustrate the importance of attending to task and the benefits of multi-point focus on agent cognition, task, and situation using two computational models that take the ACTS perspective, yet are currently only partially sufficient as models that embody a full ACTS theory.
Active Sampling for Rank Learning via Optimizing the Area Under the ROC Curve
Creators: name: Pinar  Donmez
name: Carbonell, Jaime G.
Publisher: name: Carnegie Mellon University
Year: 2009
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s preferences or on collaborative filtering. Learning-to-rank is particularly necessary for adaptive or personalizable tasks, including email prioritization, individualized recommendation systems, personalized news clipping services and so on. Whereas the learning-to-rank challenge has been addressed in the literature, little work has been done in an active-learning framework, where requisite user feedback is minimized by selecting only the most informative instances to train the rank learner. This paper addresses active rank-learning head on, proposing a new sampling strategy based on minimizing hinge rank loss, and demonstrating the effectiveness of the active sampling method for rankSVM on two standard rank-learning datasets. The proposed method shows convincing results in optimizing three performance metrics, as well as improvement against four baselines including entropybased, divergence-based, uncertainty-based and random sampling methods.
Active Learning in Example-Based Machine Translation
Creators: name: Gangadharaiah, Rashmi
name: Brown, Ralf D.
name: Carbonell, Jaime G.
Publisher: name: Carnegie Mellon University
Year: 2009
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: In data-driven Machine Translation approaches, like Example-Based Machine Translation (EBMT) (Brown, 2000) and Statistical Machine Translation (Vogel et al., 2003), the quality of the translations produced depends on the amount of training data available. While more data is always useful, a large training corpus can slow down a machine translation system. We would like to selectively sample the huge corpus to obtain a sub-corpus of most informative sentence pairs that would lead to good quality translations. Reducing the amount of training data also enables one to easily port an MT system onto small devices that have less memory and storage capacity. In this paper, we propose using Active Learning strategies to sample the most informative sentence pairs. There has not been much progress in the application of active learning theory in machine translation due to the complexity of the translation models. We use a poolbased strategy to selectively sample instances from a parallel corpora which not only outperformed a random selector but also a previously used sampling strategy (Eck et al., 2005) in an EBMT framework (Brown, 2000) by about one BLEU point (Papineni et al., 2002).
Hypernuclear production by ($γ, K^+$) reaction within a relativistic model
Creators: name: Shyam, R.
name: Lenske, H.
name: Mosel, U.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Within a fully covariant model based on an effective Lagrangian picture, we investigate the hypernuclear production in photon-nucleus interaction on $ ^{16}$O target. The explicit kaon production vertex is described via creation, propagation and decay into relevant channel of $N^*$(1650), $N^*$(1710), and $N^*$(1720) intermediate baryonic resonance states in the initial interaction of the incident photon with one of the target protons. Bound state nucleon and hyperon wave functions are obtained by solving the Dirac equation. Using vertex parameters determined in the previous studies, contributions of the $N^*$(1710) baryonic resonance dominate the total production cross sections which are found to peak at photon energies below 1 GeV. The results show that photoproduction is the most appropriate means for studying the unnatural parity hypernuclear states, thus accessing the spin dependence of the hyperon-nucleon interaction.
description: 12 pages, 4 figures, Dicussions revised, version to appear in Phys. Rev.C (rapid communications)
Active Learning for Membrane Protein Structure Prediction
Creators: name: Osmanbeyoglu, Hatice U.
name: Wehner, Jessica A.
name: Carbonell, Jaime G.
name: Ganapathiraju, Madhavi K.
Publisher: name: Carnegie Mellon University
Year: 2010
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: Background: About 30% of genes code for membrane proteins, which are involved in a wide variety of crucial biological functions. Despite their importance, experimentally determined structures correspond to only about 1.7% of protein structures deposited in the Protein Data Bank due to the difficulty in crystallizing membrane proteins. Algorithms that can identify proteins whose high-resolution structure can aid in predicting the structure of many previously unresolved proteins are therefore of potentially high value. Active machine learning is a supervised machine learning approach which is suitable for this domain where there are a large number of sequences but only very few have known corresponding structures. In essence, active learning seeks to identify proteins whose structure, if revealed experimentally, is maximally predictive of others. Results: An active learning approach is presented for selection of a minimal set of proteins whose structures can aid in the determination of transmembrane helices for the remaining proteins. TMpro, an algorithm for high accuracy TM helix prediction we previously developed, is coupled with active learning.We show that with a well-designed selection procedure, high accuracy can be achieved with only few proteins. TMpro, trained with a single protein achieved an F-score of 94% on benchmark evaluation and 91% on MPtopo dataset, which correspond to the state-of-the-art accuracies on TM helix prediction that are achieved usually by training with over 100 training proteins. Conclusion: Active learning is suitable for bioinformatics applications, where manually characterized data are not a comprehensive representation of all possible data, and in fact can be a very sparse subset thereof. It aids in selection of data instances which when characterized experimentally can improve the accuracy of computational characterization of remaining raw data. The results presented here also demonstrate that the feature extraction method of TMpro is well designed, achieving a very good separation between TM and non TM segments.
Entangled-photon decision maker
Creators: name: Chauvet, Nicolas
name: Jegouso, David
name: Boulanger, Benoît
name: Saigo, Hayato
name: Okamura, Kazuya
name: Hori, Hirokazu
name: Drezet, Aurélien
name: Huant, Serge
name: Bachelier, Guillaume
name: Naruse, Makoto
Publisher: name: arXiv
Year: 2018
Subjects: subject: Optics (physics.optics)
subject: Artificial Intelligence (cs.AI)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The competitive multi-armed bandit (CMAB) problem is related to social issues such as maximizing total social benefits while preserving equality among individuals by overcoming conflicts between individual decisions, which could seriously decrease social benefits. The study described herein provides experimental evidence that entangled photons physically resolve the CMAB in the 2-arms 2-players case, maximizing the social rewards while ensuring equality. Moreover, we demonstrated that deception, or outperforming the other player by receiving a greater reward, cannot be accomplished in a polarization-entangled-photon-based system, while deception is achievable in systems based on classical polarization-correlated photons with fixed polarizations. Besides, random polarization-correlated photons have been studied numerically and shown to ensure equality between players and deception prevention as well, although the CMAB maximum performance is reduced as compared with entangled photon experiments. Autonomous alignment schemes for polarization bases were also experimentally demonstrated based only on decision conflict information observed by an individual without communications between players. This study paves a way for collective decision making in uncertain dynamically changing environments based on entangled quantum states, a crucial step toward utilizing quantum systems for intelligent functionalities.
Standard arbitration agreements: a viable means for antitrust damages claims?
Creators: name: Martín-Laborda, Antonio Robles
Publisher: name: Market and Competition Law Review
Year: 2024

description: Following the judgment of the Court of Justice and especially the Opinion of the Advocate General in the CDC Hydrogen Peroxide case, arbitration agreements on disputes concerning damages for infringements of the competition rules of the TFEU have been interpreted as being contrary to the principle of effectiveness of EU law by making the non-application of the competition rules more likely. Moreover, standard arbitration agreements, which are concluded ex ante (before the dispute arises) and delimit their objective scope in generic terms (referring, in one formulation or another, to any dispute arising out of or related to a specific contract), only cover disputes over contractual damages, but not those relating to damages in tort caused by a party’s participation in a cartel. Therefore, national judges should not decline jurisdiction over the standard arbitration agreements proposed by the main international arbitral institutions, making it impossible for arbitration to become a viable means of resolving disputes arising from cartel damages. However, although the principle of effectiveness limits the procedural autonomy of the Member States as regards the remedies for exercising the right to claim compensation for such damages, it does not prevent the holder from voluntarily waiving the right to exercise it before a court and submitting the dispute to arbitration. Moreover, in the absence of harmonization by EU law of the rules on commercial arbitration, any question relating to the existence, validity or scope of the arbitration agreement is governed by the law of each Member State. Therefore, a standard arbitration clause may also cover disputes relating to non-contractual liability incurred by a contracting party as a result of its participation in an unlawful cartel if this was the will of the parties when concluding the contract, as interpreted by national courts or arbitrators in accordance with the law applicable to the dispute.
description: Market and Competition Law Review, v. 8 n. 2 (2024)
Transparency and trust in people: the influence of cognitive thinking on trust
Creators: name: Schmid, Irina
Publisher: name: Zenodo
Year: 2024
Subjects: Trust and transparency in people
Trust in skills acquisition
trust
cognitive thinking
human intelligence
skills

description: The talk will present cognitive thinking and human intelligence as building blocks for trust and transparency. Using cognitive thinking and human intelligence creates a positive culture at work, builds trust between employees, and boosts confidence in the data’s trustworthiness. To achieve it wholly, it is essential to embrace cognitive restructuring, fostering a mindset that seeks logical and positive work norms and welcomes accountability.
Endangered Data Preservation: Organizing and Visualizing Thoreau's Botanical Observations
Creators: name: Coalter, Jodi H.
Publisher: name: Digital Repository at the University of Maryland
Year: 2019
Subjects: botany
analogue data
Henry David Thoreau
journals

description: Identification and preservation of boutique sets of historical botanical data poses several unique problems in research data management. For example, Henry David Thoreau's journals contain invaluable data on spring blooming of thousands of species in and around the Massachusetts area. However, with each year that passes, botanical identification of those species have shifted to their current taxonomic name. The aim of this research was to capture historical botanical data from an at risk website developed in the early aughts and transform it into a usable, easily accessible and manipulable format, essentially creating a "living data set" that can be updated easily as botanical nomenclature shifts. This poster will discuss issues in identifying at risk boutique data sets with high value, scraping the website to gather the data, and transforming it into a usable set.
title: A novel approach to objective assessment of stretchability in pounded yam
Creators: name: Otegbayo, Bolanle Omolara
name: Alamu, Ayomide
name: Oroniran, Oluyinka
name: Adesokan, Michael
name: Tanimola, Abiola
name: Ayetigbo, Oluwatoyin
Publisher: name: CIRAD
Year: 2024

description: Poster presented at Regional Sensory and Consumer Science Conference (Afrosense 2024), 27-29 november 27-29, Accra, Ghana
Approximate vortex solution of Faddeev model
Creators: name: Shi, Chang-Guang
name: Hirayama, Minoru
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Through an Ansatz specifying the azimuthal-angle dependence of the solution, the static field equation for vortex of the Faddeev model is converted to an algebraic ordinary differential equation. An approximate analytic expression of the vortex solution is explored so that the energy per unit vortex length becomes as small as possible. It is observed that the minimum energy of vortex is approximately proportional to the integer which specifies the solution.
description: 9pages,4figures
Finding coherence between EU concentrations-related instruments
Creators: name: Rusu, Catalin
Publisher: name: Market and Competition Law Review
Year: 2024

description: Concentrations with EU relevance, depending on their features, may fall under multiple legal regimes. EU/national merger control systems, antitrust rules, the Digital Markets Act, and the Foreign Subsidies Regulation impose (more or less) comprehensive jurisdictional, procedural and substantive requirements on such transactions. The manner in which these legal realms interact is remarkable from several standpoints: concentrations are tested ex-ante or ex-post, for various sorts of effects, using distinct methodologies and substantive tests. The merging parties may also expect that their transactions switch jurisdictions or are assessed in parallel, or subsequently, by different enforcers. The procedural roadmaps and requirements they are confronted with during the assessment processes cover broad ranges and oftentimes require skilful navigation. This contribution discusses the interplay between the merger control, antitrust, DMA and FSR regimes, attempting to assert whether addressing concentrations with EU relevance is based on coherently interacting frameworks. In doing this, the contribution weighs in on whether the EUMR continues to take centre-stage when it comes to the assessment of such concentrations – a role one could reasonably expect a mature piece of EU secondary law is apt to play.
description: Market and Competition Law Review, v. 8 n. 2 (2024)
Phenomenology of the 1/N$_f$ Expansion for Field Theories in Extra Dimensions
Creators: name: Kazakov, D. I.
name: Vartanov, G. S.
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In this paper we review the properties of the 1/$N_f$ expansion in multidimensional theories. Contrary to the usual perturbative expansion it is renormalizable and contains only logarithmic divergencies. The price for it is the presence of ghost states which, however, in certain cases do not contribute to physical amplitudes. In this case the theory is unitary and one can calculate the cross-sections. As an example we consider the differential cross section of elastic $eq \to eq$ scattering in $D=7,11,...$-dimensional world. We look also for the unification of the gauge couplings in multidimensional Standard Model and its SUSY extension which takes place at energies lower than in 4 dimensions.
description: Submitted for the SUSY07 proceedings, 4 pages, LaTeX, 4 eps figures + 3 axodraw figures
Charmonium dissociation and recombination at RHIC and LHC
Creators: name: Capella, A.
name: Bravina, L.
name: Ferreiro, E. G.
name: Kaidalov, A. B.
name: Tywoniuk, K.
name: Zabrodin, E.
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Charmonium production at heavy-ion colliders is considered within the comovers interaction model. The formalism is extended by including possible secondary J/psi production through recombination and an estimate of recombination effects is made with no free parameters involved. The comovers interaction model also includes a comprehensive treatment of initial-state nuclear effects, which are discussed in the context of such high energies. With these tools, the model properly describes the centrality and the rapidity dependence of experimental data at RHIC energy, $\sqrt{s}$ = 200 GeV, for both Au+Au and Cu+Cu collisions. Predictions for LHC, $\sqrt{s}$ = 5.5 TeV, are presented and the assumptions and extrapolations involved are discussed.
description: 16 pages, 5 figures
Engineering formate assimilation in Synechocystis sp. PCC 6803
Creators: name: Song, Shanshan
Publisher: name: Universität Rostock
Year: 2019
Subjects: subject: 570 Life science

description: To improve photosynthetic efficiency, a synthetic formate assimilation (FA) pathway is designed in this study to function as an additional carbon-fixing route, which possibly also reduce the photorespiratory loss of CO2 via the inhibition of glycine decarboxylation. To establish FA, genes encoding the proteins 10-formyl-THF ligase (FTL), 5,10-methylene-THF dehydrogenase (MtdA), and 5,10-methenyl-THF cyclohydrolase (FchA) from M. extorquens AM1 were transferred into the model cyanobacterium Synechocystis sp. PCC 6803.
Hyperboloidal foliations and scri-fixing
Creators: name: Zenginoğlu, Anıl
Publisher: name: arXiv
Year: 2007
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We discuss a gauge choice which allows us to avoid the introduction of artificial timelike outer boundaries in numerical studies of test fields based on a 3+1 decomposition of asymptotically flat background spacetimes. The main idea is to include null infinity in the computational domain by conformally compactifying the metric on hyperboloidal foliations and fixing the spatial coordinate location of null infinity, i.e. scri-fixing. We construct such coordinates explicitly on Minkowski, Schwarzschild and Kerr spacetimes.
description: 14 pages, 14 figures. Published version
Challenges Arising from Prerequisite Testing in Cybersecurity Games
Creators: name: Švábenský, Valdemar
name: Vykopal, Jan
Publisher: name: arXiv
Year: 2017
Subjects: subject: Computers and Society (cs.CY)
subject: Cryptography and Security (cs.CR)
subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Cybersecurity games are an attractive and popular method of active learning. However, the majority of current games are created for advanced players, which often leads to frustration in less experienced learners. Therefore, we decided to focus on a diagnostic assessment of participants entering the games. We assume that information about the players' knowledge, skills, and experience enables tutors or learning environments to suitably assist participants with game challenges and maximize learning in their virtual adventure. In this paper, we present a pioneering experiment examining the predictive value of a short quiz and self-assessment for identifying learners' readiness before playing a cybersecurity game. We hypothesized that these predictors would model players' performance. A linear regression analysis showed that the game performance can be accurately predicted by well-designed prerequisite testing, but not by self-assessment. At the same time, we identified major challenges related to the design of pretests for cybersecurity games: calibrating test questions with respect to the skills relevant for the game, minimizing the quiz's length while maximizing its informative value, and embedding the pretest in the game. Our results are relevant for educational researchers and cybersecurity instructors of students at all learning levels.
description: ACM SIGCSE 2018 conference, 6 pages, 4 figures, 4 tables
Collisional Quenching at Ultralow Energies: Controlling Efficiency with Internal State Selection
Creators: name: Bovino, S.
name: Bodo, E.
name: Gianturco, F. A.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Calculations have been carried out for the vibrational quenching of excited H$_2$ molecules which collide with Li$^+$ ions at ultralow energies. The dynamics has been treated exactly using the well known quantum coupled-channel expansions over different initial vibrational levels. The overall interaction potential has been obtained from the calculations carried out earlier in our group using highly correlated ab initio methods. The results indicate that specific features of the scattering observables, e.g. the appearance of Ramsauer-Townsend minima in elastic channel cross sections and the marked increase of the cooling rates from specific initial states, can be linked to potential properties at vanishing energies (sign and size of scattering lengths) and to the presence of either virtual states or bound states. The suggestion is made that by selecting the initial state preparation of the molecular partners, the ionic interactions would be amenable to controlling quenching efficiency at ultralow energies.
Synergies between the CSDDD and EU competition law: a toxic relationship?
Creators: name: Veenbrink, Marc
Publisher: name: Market and Competition Law Review
Year: 2024

description: Corporate sustainability due diligence (CSDD) is needed in order to achieve a transition towards a green economy and deliver the UN Sustainable Development Goals. Therefore, the Commission proposed the Corporate Sustainability Due Diligence Directive (CSDDD) in 2019. In March 2024, the Council and the European Parliament finally reached an agreement on the CSDDD. This Directive obliges companies, if need be, to “collaborate” within the supply chain in order to reach the goals of the act, as long as such collaboration is in compliance with “Union law, including competition law”. This begs the question how much room these companies will have under EU competition law to collaborate with other companies in the value chain. In this article, a discussion will take place on the different aspects at stake. Companies should collaborate with subsidiaries and business partners. These companies will, from a competition law perspective, sometimes be seen as part of one undertaking. In instances where we have different undertakings, Article 101 will play a role. This article will then further delve into the question of how much room undertakings will have in light of the cartel prohibition to create agreements with the aim of achieving the CSDDD goals. Therefore, the article will also discuss whether such agreements do infringe the cartel prohibition.
description: Market and Competition Law Review, v. 8 n. 2 (2024)
title: Consumer preference and quality criteria for Attiéké, a fermented Ivorian cassava product
Creators: name: Diby, N'Nan Affoué Sylvie
name: Deffan, Prudence
name: Adinsi, Laurent
name: Bechoff, Aurélie
name: Kanon, Alban Landry
name: Bouniol, Alexandre
name: Yapi, Eric
name: Deuscher, Zoé
name: Bugaud, Christophe
name: N’Zue, Boni
name: Djedji Ebah, Bomoh Catherine
Publisher: name: CIRAD
Year: 2024

description: Poster presented at Regional Sensory and Consumer Science Conference (Afrosense 2024), 27-29 november 27-29, Accra, Ghana
Lettre de Antoine Gouan à Jean-François Séguier, 1777-03-29
Creators: name: Gouan, Antoine
name: Gouan, Antoine
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2022
Subjects: Botanique

description: [fol. 202] Montpellier 29 mars 1777.

Je n’ai que le temps mon cher ami de vous dire deux mots et cela pour vous remercier des livres de Burman qu’un des messieurs allât vous apporter avec les deux thèses de Vigouroux. Je me sers encore des autres deux livres, mais ce sera vers la fin d’avril que je vous les renverrai si je ne vous les apporte moi-même comme je le désire pourvu que l’université m’en laisse la liberté.
Mes manuscrits sur Belleval seront bientôt achevés. Allut a dû vous dire que le roi de Pologne voulait les faire imprimer à Varsovie. Gilibert qui u est ayant fait valoir auprès de ce monarque la chose plus qu’elle ne vaut… la cour de France a doublé les appointements de Dombey, la voilà à 6000 lt., sans compter ce qu’il aura de l’Espagne qui lui a associé deux jeunes élèves. Il était temps que Flore fit quelque chose pour ce pauvre diable. Nos jardins s’en ressentiront. Adieu mon bon ami. Je suis à vous pour la vie. Toute ma famille me charge de vous faire mille compliments. Je vous souhaite de bonnes fêtes et suis très sincèrement votre serviteur.

 Gouan.
description: Source: [établissement de conservation] Nîmes, Bibliothèque Carré d'Art [cote] ms. 144, fol. 202
Morphology and Kinematics of Filaments in the Serpens and Perseus Molecular Clouds
Creators: name: Dhabal, Arnab
name: Mundy, Lee G.
name: Rizzo, Maxime J.
name: Storm, Shaye
name: Teuben, Peter
Publisher: name: arXiv
Year: 2018
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We present H13CO+ (J=1-0) and HNC (J=1-0) maps of regions in Serpens South, Serpens Main and NGC 1333 containing filaments. We also observe the Serpens regions using H13CN (J=1-0). These dense gas tracer molecular line observations carried out with CARMA have an angular resolution of ~7", a spectral resolution of ~0.16 km/s and a sensitivity of 50-100 mJy/beam. Although the large scale structure compares well with the Herschel dust continuum maps, we resolve finer structure within the filaments identified by Herschel. The H13CO+ emission distribution agrees with the existing CARMA N2H+ (J=1-0) maps; so they trace the same morphology and kinematics of the filaments. The H13CO+ maps additionally reveal that many regions have multiple structures partially overlapping in the line-of-sight. In two regions, the velocity differences are as high as 1.4 m/s. We identify 8 filamentary structures having typical widths of 0.03-0.08 pc in these tracers. At least 50% of the filamentary structures have distinct velocity gradients perpendicular to their major axis with average values in the range 4-10 km/s/pc. These findings are in support of the theoretical models of filament formation by 2-D inflow in the shock layer created by colliding turbulent cells. We also find evidence of velocity gradients along the length of two filamentary structures; the gradients suggest that these filaments are inflowing towards the cloud core.
description: 30 pages, 16 figures
The stability of spectroscopic instruments: A unified Allan variance computation scheme
Creators: name: Ossenkopf, Volker
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: The Allan variance is a standard technique to characterise the stability of spectroscopic instruments used in astronomical observations. The period for switching between source and reference measurement is often derived from the Allan minimum time. We propose a new approach for the computation of the Allan variance of spectrometer data combining the advantages of the two existing methods into a unified scheme. Using the Allan variance spectrum we derive the optimum strategy for symmetric observing schemes minimising the total uncertainty of the data resulting from radiometric and drift noise. The unified Allan variance computation scheme is designed to trace total-power and spectroscopic fluctuations within the same framework. The method includes an explicit error estimate both for the individual Allan variance spectra and for the derived stability time. A new definition of the instrument stability time allows to characterise the instrument even in the case of a fluctuation spectrum shallower than 1/f, as measured for the total power fluctuations in high-electron-mobility transistors. We find a non-linear impact of the binning of spectrometer channels on the resulting noise and the Allan time deviating from the description in existing theoretical treatments.
description: accepted for publication in Astronomy & Astrophysics