cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Non-linear screening of external charge by doped graphene
Creators: name: Ghaznavi, M.
name: Miskovic, Z. L.
name: Goodman, F. O.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We solve a nonlinear integral equation for the electrostatic potential in doped graphene due to an external charge, arising from a Thomas-Fermi (TF) model for screening by graphene's $π$ electron bands. In particular, we study the effects of a finite equilibrium charge carrier density in graphene, non-zero temperature, non-zero gap between graphene and a dielectric substrate, as well as the nonlinearity in the band density of states. Effects of the exchange and correlation interactions are also briefly discussed for undoped graphene at zero temperature. Nonlinear results are compared with both the linearized TF model and the dielectric screening model within random phase approximation (RPA). In addition, image potential of the external charge is evaluated from the solution of the nonlinear integral equation and compared to the results of linear models. We have found generally good agreement between the results of the nonlinear TF model and the RPA model in doped graphene, apart from Friedel oscillations in the latter model. However, relatively strong nonlinear effects are found in the TF model to persist even at high doping densities and large distances of the external charge.
description: 12 pages including 6 figures
Three essays in industrial organization
Creators: name: Blasco, Andrea <1981>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2011
Subjects: SECS-P/01 Economia politica

description: This dissertation comprises three essays on the topic of industrial organization. 

The first essay considers how different intellectual property systems can affect the incentives to invest in R&D when innovation is cumulative. I introduce a distinction
between plain and sophisticated technological knowledge, which plays a crucial role in determining how different appropriability rules affect the incentives to innovate.
I argue that the positive effect of weak intellectual property regimes on the sharing of intermediate technological knowledge vanishes when technological knowledge is sophisticated, as is likely to be the case in many high tech industries.

The second essay analyzes a two-sided market for news where advertisers may pay a media outlet to conceal negative information on the quality of their own product
(paying positive to avoid negative) and/or to disclose negative information on the quality of their competitors products (paying positive to go negative). It is shown that
whether advertisers have negative consequences on the accuracy of media reports or not, ultimately depends on the extent of correlation among advertisers products.

The third essay considers the role of social learning in the diffusion of a new technology. A population of agents can choose between two risky technologies: an old one for which they know the expected outcome, and a new one for which they have only a prior. Different environments are confronted. In the benchmark case agents are isolated and can perform costly experiments to infer the quality of the
new technology. In the other cases agents are settled in a network and can observe the outcomes of neighbors. We observe that in expectations the quality of the new technology may be overestimated when there is a network spread of information.
Fluctuations and correlations during the shear flow of elastic particles near the jamming transition
Creators: name: Heussinger, Claus
name: Chaudhuri, Pinaki
name: Barrat, Jean-Louis
Publisher: name: arXiv
Year: 2010
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We present a numerical study of the flow of an assembly of frictionless soft discs at zero temperature, in the vicinity of and slightly above the jamming density. We find that some of the flow properties, such as the fluctuations in the number of contacts or the shear modulus, display a critical like behaviour that is governed by the proximity to the jamming point. Dynamical correlations during a quasistatic deformation, however, are non critical and dominated by system size. At finite strain rates, these dynamical correlations acquire a finite, strain-rate dependent amplitude, that decreases when approaching the jamming point from above.
description: Manuscript submitted to the themed Issue on granular and jammed materials of Soft Matter
Spectrum reconstruction from a scattering measurement using the adjoint Boltzmann transport equation for photons
Creators: name: Baré, Jonathan <1981>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2012
Subjects: ING-IND/18 Fisica dei reattori nucleari

description: Quality control of medical radiological systems is of fundamental importance, and requires efficient methods for accurately determine the X-ray source spectrum. Straightforward measurements of X-ray spectra in standard operating require the limitation of the high photon flux, and therefore the measure has to be performed in a laboratory. However, the optimal quality control requires frequent in situ measurements which can be only performed using a portable system.
To reduce the photon flux by 3 magnitude orders an indirect technique based on the scattering of the X-ray source beam by a solid target is used. The measured spectrum presents a lack of information because of transport and detection effects. The solution is then unfolded by solving the matrix equation that represents formally the scattering problem. However, the algebraic system is ill-conditioned and, therefore, it is not possible to obtain a satisfactory solution. Special strategies are necessary to circumvent the ill-conditioning. Numerous attempts have been done to solve this problem by using purely mathematical methods. In this thesis, a more physical point of view is adopted. The proposed method uses both the forward and the adjoint solutions of the Boltzmann transport equation to generate a better conditioned linear algebraic system. 
The procedure has been tested first on numerical experiments, giving excellent results. Then, the method has been verified with experimental measurements performed at the Operational Unit of Health Physics of the University of Bologna. The reconstructed spectra have been compared with the ones obtained with straightforward measurements, showing very good agreement.
Fermentative processes for environmental remediation
Creators: name: Grilli, Selene <1969>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2013
Subjects: CHIM/11 Chimica e biotecnologia delle fermentazioni

description: The growing interest in environmental protection has led to the development of emerging biotechnologies for environmental remediation also introducing the biorefinery concept.
This work mainly aimed to evaluate the applicability of innovative biotechnologies for environmental remediation and bioenergy production, throught fermentative processes.
The investigated biotechnologies for waste and wastewater treatment and for the valorisation of specific feedstocks and energy recovery, were mainly focused on four research lines.
1. Biotechnology for textile wastewater treatment and water reuse that involving anaerobic and aerobic processes in combination with membrane technologies. Combinations of different treatments were also implemented for water reuse in a textile company.
2. Biotechnology for the treatment of solid waste and leachate in landfill and for biogas production. Landfill operated as Bioreactor with recirculation of the generated leachate was proposed for organic matter biostabilisation and for ammonia removal from leachate by favouring the Anammox process.
3. An innovative two-stage anaerobic process for effective codigestion of waste from the dairy industry, as cheese whey and dairy manure, was studied by combining conventional fermentative processes with a simplified system design for enhancing biomethanisation.
4) The valorisation of the glycerol waste as surplus by-product of the biodiesel industry was investigated via microbial conversion to value-added chemicals, as 1,3-propanediol. The investigated fermentative processes have been successfully implemented and reached high yields of the produced bio-chemical.
The studied biotechnological systems proved to be feasible for environmental remediation and bioenergy and chemicals production.
Contribution to the theory of stably trivial vector bundles
Creators: name: Allard, Jacques
Publisher: name: University of British Columbia
Year: 2010

description: A vector bundle E over a CW-complex X is said to be stably trivial of type (n,k) if E, © ke = ne, where e denotes the trivial line bundle. Let V[sub n,k] , be the Stiefel manifold of orthonormal k- frame in euclidian n-space R[sup n] and let n[sub n,k] , be the real (n-k)- dimensional vector bundle over V[sub n,l] , whose fiber over a k—frame x is the subspace of R[sup n] orthogonal to the span of the vectors in x . The vector bundle n[sub n,k], is "weakly universal" for stably trivial vector bundles of type (n,k), i.e. for any stably trivial vector bundle of type (n,k), there is a map f: X -> V[sub n,k] , not necessarily unique up to homotopy, such that f *n[sub n,k] = E, . We study the following questions: (a) for which values of r is the r-fold Whitney sum rn[sub n,k] , trivial, and (b) what is the maximum number of linearly independent cross-sections of n[sub n,k] ©[sup se] (0 < s < k - 1) . Among the results obtained are: (1) 2n[sub n,2] is trivial iff n is even or n=3; (2) 3n[sub n,2] is trivial if n is even; (3) rn[sub n,k], is not trivial if r is odd and < (n-2)/(n-k): (4) n[sub n,k] © (k-l)c is not trivial if n ≄ 2,4,8 and 1 < k < n - 3; (5) n[sub n,k] © [sup se] admits exactly s linearly independent cross-sections if n and k are odd; (6) n[sub n,k] © (k-2)e admits at most (k-1) linearly independent sections if 2<_k<_n-3. These results are used to construct examples of stably free modules and unimodular matrices over commutative noetherian rings. The techniques used are those of homotopy theory, including Postnikov systems, K-theory and, specially, Spin operations on vector bundles. A chapter of the thesis is devoted to defining the Spin operations formally as a type of K-theoretic characteristic classes for a certain type of real vector bundles. Formulae to compute the Spin operations on a Whitney sum of vector bundles are given.
Automatic quantitative metrical analysis of Spanish Poetry with Rantanplan: a first approach
Creators: name: Hernández-Lorenzo, Laura
name: De La Rosa, Javier
name: Pozo, Álvaro Pérez
name: Medina, Aitor Díaz
name: Ros, Salvador
name: González-Blanco, Elena
Publisher: name: Zenodo
Year: 2020

description: Automatic analysis of poetic texts has received notable attention from the scholarly community in recent times. For Spanish Poetry, approaches for scansion and syllabification, as well as rhyme analysis, have been implemented. However, automatic extraction and quantification of stanzas and metrical structures –a complex task given the abundance, variety, and frequent irregularity of structures– remains unexplored.
Exploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching
Creators: name: Huang, Zhen
name: Zhuang, Xiaodan
name: Liu, Daben
name: Xiao, Xiaoqiang
name: Zhang, Yuchen
name: Siniscalchi, Sabato Marco
Publisher: name: arXiv
Year: 2021
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: In this paper, we present our initial efforts for building a code-switching (CS) speech recognition system leveraging existing acoustic models (AMs) and language models (LMs), i.e., no training required, and specifically targeting intra-sentential switching. To achieve such an ambitious goal, new mechanisms for foreign pronunciation generation and language model (LM) enrichment have been devised. Specifically, we have designed an automatic approach to obtain high quality pronunciation of foreign language (FL) words in the native language (NL) phoneme set using existing acoustic phone decoders and an LSTM-based grapheme-to-phoneme (G2P) model. Improved accented pronunciations have thus been obtained by learning foreign pronunciations directly from data. Furthermore, a code-switching LM was deployed by converting the original NL LM into a CS LM using translated word pairs and borrowing statistics for the NL LM. Experimental evidence clearly demonstrates that our approach better deals with accented foreign pronunciations than techniques based on human labeling. Moreover, our best system achieves a 55.5% relative word error rate reduction from 34.4%, obtained with a conventional monolingual ASR system, to 15.3% on an intra-sentential CS task without harming the monolingual recognition accuracy.
Injectable and biodegradable temperature-responsive mixed polymer systems providing variable gel-forming pH regions
Creators: name: Yoshida, Yasuyuki
name: Kawahara, Keisuke
name: Mitsumune, Shintaro
name: Kuzuya, Akinori
name: Ohya, Yuichi
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biophysics
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Aqueous solutions of biodegradable polymers exhibiting sol-to-gel transitions in response to external stimuli such as temperature and pH are expected to be used as injectable polymers (IPs) for biomedical applications. In this study, we prepared novel biodegradable temperature-responsive IP systems providing variable gel-forming pH regions. We synthesized PCGA-b-PEG-b-PCGA (tri-PCG) and attached carboxylic acid or primary amine groups on both termini, tri-PCG-COOH and tri-PCG-NH2, and investigated the temperature-responsive sol-to-gel transition behavior of the mixtures of these two copolymers at various pHs. We found that the gel-forming pH region of the mixed system could be easily controlled by simply changing the mixing ratios of these polymers.
Artificial Intelligence For Breast Cancer Detection: Trends & Directions
Creators: name: Shah, Shahid Munir
name: Khan, Rizwan Ahmed
name: Arif, Sheeraz
name: Sajid, Unaiza
Publisher: name: arXiv
Year: 2021
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: In the last decade, researchers working in the domain of computer vision and Artificial Intelligence (AI) have beefed up their efforts to come up with the automated framework that not only detects but also identifies stage of breast cancer. The reason for this surge in research activities in this direction are mainly due to advent of robust AI algorithms (deep learning), availability of hardware that can train those robust and complex AI algorithms and accessibility of large enough dataset required for training AI algorithms. Different imaging modalities that have been exploited by researchers to automate the task of breast cancer detection are mammograms, ultrasound, magnetic resonance imaging, histopathological images or any combination of them. This article analyzes these imaging modalities and presents their strengths, limitations and enlists resources from where their datasets can be accessed for research purpose. This article then summarizes AI and computer vision based state-of-the-art methods proposed in the last decade, to detect breast cancer using various imaging modalities. Generally, in this article we have focused on to review frameworks that have reported results using mammograms as it is most widely used breast imaging modality that serves as first test that medical practitioners usually prescribe for the detection of breast cancer. Second reason of focusing on mammogram imaging modalities is the availability of its labeled datasets. Datasets availability is one of the most important aspect for the development of AI based frameworks as such algorithms are data hungry and generally quality of dataset affects performance of AI based algorithms. In a nutshell, this research article will act as a primary resource for the research community working in the field of automated breast imaging analysis.
Displacement Analysis of Under-Constrained Cable-Driven Parallel Robots
Creators: name: Abbasnejad Matikolaei, Ghasem <1984>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2014
Subjects: ING-IND/13 Meccanica applicata alle macchine

description: This dissertation studies the geometric static problem of under-constrained cable-driven
parallel robots (CDPRs) supported by n cables, with n ≤ 6. The task consists of determining the overall robot conﬁguration when a set of n variables is assigned. When variables
relating to the platform posture are assigned, an inverse geometric static problem (IGP)
must be solved; whereas, when cable lengths are given, a direct geometric static problem (DGP) must be considered. Both problems are challenging, as the robot continues to
preserve some degrees of freedom even after n variables are assigned, with the ﬁnal conﬁguration determined by the applied forces. Hence, kinematics and statics are coupled and
must be resolved simultaneously.
In this dissertation, a general methodology is presented for modelling the aforementioned
scenario with a set of algebraic equations. An elimination procedure is provided, aimed at
solving the governing equations analytically and obtaining a least-degree univariate polynomial in the corresponding ideal for any value of n. Although an analytical procedure
based on elimination is important from a mathematical point of view, providing an upper
bound on the number of solutions in the complex ﬁeld, it is not practical to compute these
solutions as it would be very time-consuming. Thus, for the efﬁcient computation of the
solution set, a numerical procedure based on homotopy continuation is implemented. A
continuation algorithm is also applied to ﬁnd a set of robot parameters with the maximum
number of real assembly modes for a given DGP. Finally, the end-effector pose depends
on the applied load and may change due to external disturbances. An investigation into
equilibrium stability is therefore performed.
Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams
Creators: name: Kikuchi, Masato
name: Kawakami, Kento
name: Watanabe, Kazuho
name: Yoshida, Mitsuo
name: Umemura, Kyoji
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Likelihood ratios (LRs), which are commonly used for probabilistic data processing, are often estimated based on the frequency counts of individual elements obtained from samples. In natural language processing, an element can be a continuous sequence of $N$ items, called an $N$-gram, in which each item is a word, letter, etc. In this paper, we attempt to estimate LRs based on $N$-gram frequency information. A naive estimation approach that uses only $N$-gram frequencies is sensitive to low-frequency (rare) $N$-grams and not applicable to zero-frequency (unobserved) $N$-grams; these are known as the low- and zero-frequency problems, respectively. To address these problems, we propose a method for decomposing $N$-grams into item units and then applying their frequencies along with the original $N$-gram frequencies. Our method can obtain the estimates of unobserved $N$-grams by using the unit frequencies. Although using only unit frequencies ignores dependencies between items, our method takes advantage of the fact that certain items often co-occur in practice and therefore maintains their dependencies by using the relevant $N$-gram frequencies. We also introduce a regularization to achieve robust estimation for rare $N$-grams. Our experimental results demonstrate that our method is effective at solving both problems and can effectively control dependencies.
description: 17 pages, 8 figures
Balises d'utilisation d'outils d'IAg : quatre modalités évaluatives
Creators: name: Cabana, Mélanie
name: Piché, Serge
Publisher: name: Université de Sherbrooke, Service de soutien à la formation
Year: 2025
Subjects: Intelligence artificielle--Applications en éducation

description: Ces documents ont été conçus pour les personnes enseignantes ou professionnelles en appui au développement des programmes. Il s’agit d’outils en soutien à l’identification des utilisations autorisées des outils d’intelligence artificielle générative (IAg) dans une situation d’évaluation donnée.  

Dans le cadre d’activités d’apprentissage et d’évaluation, il pourrait arriver que des tâches puissent être déléguées aux outils d’IAg. Il convient alors à la personne enseignante de préciser lesquelles et de les communiquer clairement aux personnes étudiantes. Les tâches et niveaux proposés dans ces outils s’appuient sur les balises d’utilisation des outils d’IAg développées à l’Université de Sherbrooke.
description: Ressources éducatives libres

REL

Open Educational Resources

OER
description: Discipline : Éducation

Format :  Texte/HTML

Type de ressource : Objet d'apprentissage
Autonomous Curiosity for Real-Time Training Onboard Robotic Agents
Creators: name: Teng, Ervin
name: Iannucci, Bob
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Learning requires both study and curiosity. A good learner is not only good at extracting information from the data given to it, but also skilled at finding the right new information to learn from. This is especially true when a human operator is required to provide the ground truth - such a source should only be queried sparingly. In this work, we address the problem of curiosity as it relates to online, real-time, human-in-the-loop training of an object detection algorithm onboard a robotic platform, one where motion produces new views of the subject. We propose a deep reinforcement learning approach that decides when to ask the human user for ground truth, and when to move. Through a series of experiments, we demonstrate that our agent learns a movement and request policy that is at least 3x more effective at using human user interactions to train an object detector than untrained approaches, and is generalizable to a variety of subjects and environments.
description: 10 pages, 9 figures. Accepted in IEEE Winter Conference on Applications of Computer Vision (WACV), 2019. arXiv admin note: text overlap with arXiv:1902.01569
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring
Creators: name: Singla, Yaman Kumar
name: Gupta, Avykat
name: Bagga, Shaurya
name: Chen, Changyou
name: Krishnamurthy, Balaji
name: Shah, Rajiv Ratn
Publisher: name: arXiv
Year: 2021
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Computation and Language (cs.CL)
subject: Machine Learning (cs.LG)
subject: Sound (cs.SD)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Automatic Speech Scoring (ASS) is the computer-assisted evaluation of a candidate's speaking proficiency in a language. ASS systems face many challenges like open grammar, variable pronunciations, and unstructured or semi-structured content. Recent deep learning approaches have shown some promise in this domain. However, most of these approaches focus on extracting features from a single audio, making them suffer from the lack of speaker-specific context required to model such a complex task. We propose a novel deep learning technique for non-native ASS, called speaker-conditioned hierarchical modeling. In our technique, we take advantage of the fact that oral proficiency tests rate multiple responses for a candidate. We extract context vectors from these responses and feed them as additional speaker-specific context to our network to score a particular response. We compare our technique with strong baselines and find that such modeling improves the model's average performance by 6.92% (maximum = 12.86%, minimum = 4.51%). We further show both quantitative and qualitative insights into the importance of this additional context in solving the problem of ASS.
description: Published in CIKM 2021
Aerial Vehicles Tracking Using Noncoherent Crowdsourced Wireless Networks
Creators: name: Sallouha, Hazem
name: Chiumento, Alessandro
name: Pollin, Sofie
Publisher: name: arXiv
Year: 2021
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Air traffic management (ATM) of manned and unmanned aerial vehicles (AVs) relies critically on ubiquitous location tracking. While technologies exist for AVs to broadcast their location periodically and for airports to track and detect AVs, methods to verify the broadcast locations and complement the ATM coverage are urgently needed, addressing anti-spoofing and safe coexistence concerns. In this work, we propose an ATM solution by exploiting noncoherent crowdsourced wireless networks (CWNs) and correcting the inherent clock-synchronization problems present in such non-coordinated sensor networks. While CWNs can provide a great number of measurements for ubiquitous ATM, these are normally obtained from unsynchronized sensors. This article first presents an analysis of the effects of lack of clock synchronization in ATM with CWN and provides solutions based on the presence of few trustworthy sensors in a large non-coordinated network. Secondly, autoregressive-based and long short-term memory (LSTM)-based approaches are investigated to achieve the time synchronization needed for localization of the AVs. Finally, a combination of a multilateration (MLAT) method and a Kalman filter is employed to provide an anti-spoofing tracking solution for AVs. We demonstrate the performance advantages of our framework through a dataset collected by a real-world CWN. Our results show that the proposed framework achieves localization accuracy comparable to that acquired using only GPS-synchronized sensors and outperforms the localization accuracy obtained based on state-of-the-art CWN synchronization methods.
description: 12 pages, 11 figures; Accepted in IEEE Transactions on Vehicular Technology
MultiCategory: Multi-model Query Processing Meets Category Theory and Functional Programming
Creators: name: Uotila, Valter
name: Lu, Jiaheng
name: Gawlick, Dieter
name: Liu, Zhen Hua
name: Das, Souripriya
name: Pogossiants, Gregory
Publisher: name: arXiv
Year: 2021
Subjects: subject: Databases (cs.DB)
subject: FOS: Computer and information sciences

description: The variety of data is one of the important issues in the era of Big Data. The data are naturally organized in different formats and models, including structured data, semi-structured data, and unstructured data. Prior research has envisioned an approach to abstract multi-model data with a schema category and an instance category by using category theory. In this paper, we demonstrate a system, called MultiCategory, which processes multi-model queries based on category theory and functional programming. This demo is centered around four main scenarios to show a tangible system. First, we show how to build a schema category and an instance category by loading different models of data, including relational, XML, key-value, and graph data. Second, we show a few examples of query processing by using the functional programming language Haskell. Third, we demo the flexible outputs with different models of data for the same input query. Fourth, to better understand the category theoretical structure behind the queries, we offer a variety of graphical hooks to explore and visualize queries as graphs with respect to the schema category, as well as the query processing procedure with Haskell.
description: VLDB'21 Demonstration paper, 4 pages, 6 figures
Hölder estimates for solutions of parabolic SPDEs
Creators: name: Kuksin, Sergey
name: Nadirashvili, Nikolai
name: Piatnitski, Andrey
Publisher: name: arXiv
Year: 2021
Subjects: subject: Probability (math.PR)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: This paper considers second-order stochastic partial differential equations with additive noise given in a bounded domain of $\mathbb R^n$. We suppose that the coefficients of the noise are $L^p$-functions with sufficiently large $p$. We prove that the solutions are Hölder-continuous functions almost surely (a.s.) and that the respective Hölder norms have finite momenta of any order.
Partition functions of higher derivative conformal fields on conformally related spaces
Creators: name: Mukherjee, Jyotirmoy
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The character integral representation of one loop partition functions is useful to establish the relation between partition functions of conformal fields on Weyl equivalent spaces. The Euclidean space $S^a\times AdS_b$ can be mapped to $S^{a+b}$ provided $S^a$ and $AdS_b$ are of the same radius. As an example, to begin with, we show that the partition function in the character integral representation of conformally coupled free scalars and fermions are identical on $S^a\times AdS_b$ and $S^{a+b}$. We then demonstrate that the partition function of higher derivative conformal scalars and fermions are also the same on hyperbolic cylinders and branched spheres. The partition function of the four-derivative conformal vector gauge field on the branched sphere in $d=6$ dimension can be expressed as an integral over `naive' bulk and `naive' edge characters. However, the partition function of the conformal vector gauge field on $S^1_q\times AdS_5$ contains only the `naive' bulk part of the partition function. This follows the same pattern which was observed for the partition of conformal $p$-form fields on hyperbolic cylinders. We use the partition function of higher derivative conformal fields on hyperbolic cylinders to obtain a linear relationship between the Hofman-Maldacena variables which enables us to show that these theories are non-unitary.
description: 44 pages, 3 tables and 7 figures
Vocazione e resistenza. La "Commedia" riscritta per il teatro da Sanguineti, Luzi e Giudici
Creators: name: Paterlini, Caterina <1977>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2009
Subjects: L-FIL-LET/11 Letteratura italiana contemporanea

description: La tesi ha per oggetto i tre copioni danteschi di Edoardo Sanguineti, Mario Luzi e Giovanni Giudici, traspositori, rispettivamente, di Inferno, Purgatorio e Paradiso, nell’ambito del progetto di drammaturgia della Commedia ideato e commissionato dai Magazzini negli anni 1989-1991. L’analisi dei copioni si basa sulle teorie espresse da Genette in Palinsesti, e si sviluppa come lettura comparativa fra ipotesto (Commedia) e ipertesti (riscritture). Contestualmente, viene approfondito il tema della ricezione di Dante nel Novecento, specie nelle forme della traduzione in immagini, e fornita un'interpretazione − alla luce delle acquisizioni della critica dantesca novecentesca e della narratologia − della duplice natura del poema, materia prima oscillante tra vocazione e resistenza alla trasposizione drammatica.
Charm and multi-charm baryon measurements via strangeness tracking with the upgraded ALICE detector
Creators: name: Chinellato, David Dobrigkeit
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: We present a new method for detection of multiply charmed baryons via their decays into strange baryons, using `strangeness tracking'. This method makes use of the state-of-the-art upgraded silicon detectors in ALICE during Runs 3, 4 and beyond will enable the novel possibility of tracking strange hadrons directly before they decay, leading to a very significant improvement in impact-parameter resolution. In this work, we will discuss how this new technique will be crucial to distinguish secondary strange baryons originating from charm decays from primary strange baryons. This is a particularly interesting possibility for the $Ω^{-}$ baryon coming from $Ω_{\rm{c}}^{0}\rightarrowΩ^{-}π^{+}$ decays, since there is no other relevant feeddown source for $Ω^{-}$. This, in turn, means that the main $Ω^{-}$ background for the $Ω_{\rm{c}}$ measurement will point most accurately to the primary vertex, unlike pions or protons from other charm baryon decays. We will illustrate the achievable performance of strangeness tracking for the Run 3 configuration of ALICE with the upgraded Inner Tracking System, which is fully instrumented with silicon pixel detectors. Moreover, we will discuss the potential of this technique in a future experiment with an extensive silicon tracking detector with a first layer very close to the interaction point. Finally, we will also cover other potential major applications of strangeness tracking, including measurements of hypernuclei such as the $^{3}_Λ\rm{H}$.
description: 4 pages, 3 figures, SQM2021 proceedings
LHC constraints on hidden gravitons
Creators: name: Cembranos, J. A. R.
name: Delgado, R. L.
name: Villarrubia-Rojo, H.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We analyze LHC data in order to constrain the parameter space of new spin-2 particles universally coupled to the energy-momentum tensor. These new hypothetical particles are the so-called hidden gravitons, whose phenomenology at low energies is determined by two parameters: its mass and its dimensional coupling constant. Hidden gravitons arise in many different extensions of the Standard Model of particles and interactions and General Relativity. Their phenomenology has been studied mainly in relation to modifications of gravity and astrophysical signatures. In this work, we extend the constraints for heavy hidden gravitons, with masses larger than $1$ GeV, by taking into account events collected by ATLAS and CMS in the WW channel, Drell-Yan processes, and the diphoton channel from proton-proton collisions at $\sqrt{s}=8$ TeV.
description: 9 pages, 5 figures
Preclinical development of cancer vaccines
Creators: name: Palladini, Arianna <1978>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2009
Subjects: MED/04 Patologia generale

description: Triplex cell vaccine is a cancer immunopreventive cell vaccine that can prevent almost completely mammary tumor onset in HER-2/neu transgenic mice. A future translation of cancer immunoprevention from preclinical to clinical studies should take into account several aspects. The work reported in this thesis deals with the study of three of these aspects: vaccine schedule, activity in a therapeutic set-up and second-generation DNA vaccines. An important element in determining human acceptance and compliance of a
treatment protocol is the number of vaccinations. In order to improve the vaccination schedule a minimal protocol was searched, i.e. a schedule consisting of a lower number of administrations than standard protocol but with a similar efficacy. A candidate optimal protocol was identified by the use of an in silico model, SimTriplex simulator. The in vivo test of this schedule in HER-2/neu transgenic mice only partially confirmed in silico predictions. This result shows that in silico models have the potential ability to aid in searching of optimal treatment protocols, provided that they will be further tuned on experimental data. As a further result this preclinical study highlighted that kinetic of antibody response plays a major role in determining cancer prevention, leading to the hypothesis of a threshold that must be reached rapidly and maintained lifetime. Early clinical trials would be performed in a therapeutic, rather than preventive, setting. Thus, the activity of Triplex vaccine was investigated against experimental lung metastases in HER-2/neu transgenic mice in order to evaluate if the immunopreventive Triplex vaccine could be effective also against a pre-existing tumor mass. This preclinical model of aggressive metastatic development showed that the vaccine was an efficient treatment also 4 for the cure of micrometastases. However the immune mechanisms activated against tumor mass were not antibody dependent, i.e. different from those preventing the onset of primary mammary carcinoma. DNA vaccines could be more easily used than cellular ones. A second generation of Triplex vaccine based on DNA plasmids was evaluated in an
aggressive preclinical model (BALBp53neu female mice) and compared with the preventive ability of cellular Triplex vaccine. It was observed that Triplex DNA vaccine was as effective as Triplex cell vaccine, exploiting a more restricted immune stimulation.
From fall-risk assessment to fall detection: inertial sensors in the clinical routine and daily life
Creators: name: Bagalà, Fabio <1983>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2012
Subjects: ING-INF/06 Bioingegneria elettronica e informatica

description: Falls are caused by complex interaction between multiple risk factors which may be modified by age, disease and environment. A variety of methods and tools for fall risk assessment have been proposed, but none of which is universally accepted. Existing tools are generally not capable of providing a quantitative predictive assessment of fall risk.
The need for objective, cost-effective and clinically applicable methods would enable quantitative assessment of fall risk on a subject-specific basis. Tracking objectively falls risk could provide timely feedback about the effectiveness of administered interventions enabling intervention strategies to be modified or changed if found to be ineffective. 
Moreover, some of the fundamental factors leading to falls and what actually happens during a fall remain unclear. Objectively documented and measured falls are needed to improve knowledge of fall in order to develop more effective prevention strategies and prolong independent living. 
In the last decade, several research groups have developed sensor-based automatic or semi-automatic fall risk assessment tools using wearable inertial sensors. This approach may also serve to detect falls.
At the moment, i) several fall-risk assessment studies based on inertial sensors, even if promising, lack of a biomechanical model-based approach which could provide accurate and more detailed measurements of interests (e.g., joint moments, forces) and ii) the number of published real-world fall data of older people in a real-world environment is minimal since most authors have used simulations with healthy volunteers as a surrogate for real-world falls.
With these limitations in mind, this thesis aims i) to suggest a novel method for the kinematics and dynamics evaluation of functional motor tasks, often used in clinics for the fall-risk evaluation, through a body sensor network and a biomechanical approach and ii) to define the guidelines for a fall detection algorithm based on a real-world fall database availability.
The statistical origins of quantum mechanics
Creators: name: Klein, U.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: It is shown that Schroedinger's equation may be derived from three postulates. The first is a kind of statistical metamorphosis of classical mechanics, a set of two relations which are obtained from the canonical equations of particle mechanics by replacing all observables by statistical averages. The second is a local conservation law of probability with a probability current which takes the form of a gradient. The third is a principle of maximal disorder as realized by the requirement of minimal Fisher information. The rule for calculating expectation values is obtained from a fourth postulate, the requirement of energy conservation in the mean. The fact that all these basic relations of quantum theory may be derived from premises which are statistical in character is interpreted as a strong argument in favor of the statistical interpretation of quantum mechanics. The structures of quantum theory and classical statistical theories are compared and some fundamental differences are identified.
description: slightly modified version, 24 pages, no figures
Two-dimensional simulations of solar-like models with artificially enhanced luminosity -- I. Impact on convective penetration
Creators: name: Baraffe, I.
name: Pratt, J.
name: Vlaykov, D. G.
name: Guillet, T.
name: Goffrey, T.
name: Saux, A. Le
name: Constantino, T.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We perform 2D, fully compressible, time-implicit simulations of convection in a solar-like model with the MUSIC code. Our main motivation is to explore the impact of a common tactic adopted in numerical simulations of convection that use realistic stellar conditions. This tactic is to artificially increase the luminosity and to modify the thermal diffusivity of the reference stellar model. This work focuses on the impact of these modifications on convective penetration (or overshooting) at the base of the convective envelope of a solar-like model. We explore a range of enhancement factors for the energy input and confirm the increase in the characteristic overshooting depth with the increase in the energy input. Our results highlight the importance of the impact of penetrative downflows on the thermal background below the convective boundary. This is a result of compression and shear which induce local heating and thermal mixing. The artificial increase in the energy flux intensifies the heating process by increasing the velocities in the convective zone and at the convective boundary, revealing a subtle connection between the local heating of the thermal background and the plume dynamics. This heating also increases the efficiency of heat transport by radiation which may counterbalance further heating and helps to establish a steady state. The modification of the thermal background by penetrative plumes impacts the width of the overshooting layer. Our results suggest that an artificial modification of the radiative diffusivity in the overshooting layer, rather than only accelerating the thermal relaxation, could also alter the dynamics of the penetrating plumes and thus the width of the overshooting layer. Results from simulations with an artificial modification of the energy flux and of the thermal diffusivity should be regarded with caution if used to determine an overshooting width.
description: 13 pages, 14 figures; accepted for publication in A&A
Highest weight categories arising from Khovanov's diagram algebra IV: the general linear supergroup
Creators: name: Brundan, Jonathan
name: Stroppel, Catharina
Publisher: name: arXiv
Year: 2009
Subjects: subject: Representation Theory (math.RT)
subject: FOS: Mathematics
subject: 17B10, 16S37

description: We prove that blocks of the general linear supergroup are Morita equivalent to a limiting version of Khovanov's diagram algebra. We deduce that blocks of the general linear supergroup are Koszul.
description: Some examples added at end of introduction, exposition of "weight dictionary" simplified; 44 pages
Results from the MILC collaboration's SU(3) chiral perturbation theory analysis
Creators: name: Bazavov, A.
name: Bernard, C.
name: DeTar, C.
name: Du, X.
name: Freeman, W.
name: Gottlieb, Steven
name: Heller, Urs M.
name: Hetrick, J. E.
name: Laiho, J.
name: Levkova, L.
name: Oktay, M. B.
name: Osborn, J.
name: Sugar, R.
name: Toussaint, D.
name: Van de Water, R. S.
Publisher: name: arXiv
Year: 2009
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We present the status of the MILC collaboration's analysis of the light pseudoscalar meson sector with SU(3) chiral fits. The analysis includes data from new ensembles with smaller lattice spacing, smaller light quark masses and lighter than physical strange quark masses. Our fits include the NNLO chiral logarithms. We present results for decay constants, quark masses, Gasser-Leutwyler low energy constants, and condensates in the two- and three-flavor chiral limits.
description: 7 pages, 7 figures; contribution to the proceedings of the XXVII International Symposium on Lattice Field Theory - LAT2009, July 26-31, 2009, Peking University, Beijing, China. v2: reference corrected
Electric-field control of the exchange interactions
Creators: name: Mankovsky, S.
name: Simon, E.
name: Polesya, S.
name: Marmodoro, A.
name: Ebert, H.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The impact of an applied electric field on the exchange coupling parameters has been investigated based on first-principles electronic structure calculations by means of the KKR Green function method. The calculations have been performed for a Fe film, free-standing and deposited on two different substrates, having 1 monolayer (ML) thickness to minimize the effect of screening of the electric field typical for metallic systems. By comparing the results for the free-standing Fe ML with those for Fe on the various substrates, we could analyze the origin of the field-induced change of the exchange interactions. Compared to the free-standing Fe ML, in particular rather pronounced changes have been found for the Fe/Pt(111) system due to the localized electronic states at the Fe/Pt interface, which are strongly affected by the electric field and which play an important role for the Fe-Fe exchange interactions.
Root systems, affine subspaces, and projections
Creators: name: Cellini, Paola
name: Marietti, Mario
Publisher: name: arXiv
Year: 2021
Subjects: subject: Combinatorics (math.CO)
subject: Representation Theory (math.RT)
subject: FOS: Mathematics

description: We tackle several problems related to a finite irreducible crystallographic root system $Φ$ in the real vector space $\mathbb E$. In particular, we study the combinatorial structure of the subsets of $Φ$ cut by affine subspaces of $\mathbb E$ and their projections. As byproducts, we obtain easy algebraic combinatorial proofs of refinements of Oshima's Lemma and of a result by Kostant, a partial result towards the resolution of a problem by Hopkins and Postnikov, and new enumerative results on root systems.
description: This manuscript version is made available under the CC-BY-NC-ND 4.0 license. Manuscript has been accepted to Journal of Algebra