cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Swift J1644+57: an Ideal Test Bed of Radiation Mechanisms in a Relativistic Super-Eddington Jet
Creators: name: Crumley, Patrick
name: Lu, Wenbin
name: Santana, Rodolfo
name: Hernández, Roberto A.
name: Kumar, Pawan
name: Markoff, Sera
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Within the first 10 days after Swift discovered the jetted tidal disruption event (TDE) Sw J1644+57, simultaneous observations in the radio, near-infrared, optical, X-ray and gamma-ray bands were carried out. These multiwavelength data provide a unique opportunity to constrain the emission mechanism and make-up of a relativistic super-Eddington jet. We consider an exhaustive variety of radiation mechanisms for the generation of X-rays in this TDE, and rule out many processes such as SSC, photospheric and proton synchrotron. The infrared to gamma-ray data for Sw J1644+57 are consistent with synchrotron and external-inverse-Compton (EIC) processes provided that electrons in the jet are continuously accelerated on a time scale shorter than ~1% of the dynamical time to maintain a power-law distribution. The requirement of continuous electron acceleration points to magnetic reconnection in a Poynting flux dominated jet. The EIC process may require fine tuning to explain the observed temporal decay of the X-ray lightcurve, whereas the synchrotron process in a magnetic jet needs no fine tuning for this TDE.
description: 22 pages, 6 figures. Accepted by MNRAS
Estimation of functional diversity and species traits from ecological monitoring data
Creators: name: Ryabov, Alexey
name: Blasius, Bernd
name: Hillebrand, Helmut
name: Olenina, Irina
name: Gross, Thilo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: The twin crises of climate change and biodiversity loss define a strong need for functional diversity monitoring. While the availability of high-quality ecological monitoring data is increasing, the quantification of functional diversity so far requires the identification of species traits, for which data is harder to obtain. However, the traits that are relevant for the ecological function of a species also shape its performance in the environment and hence should be reflected indirectly in its spatio-temporal distribution. Thus it may be possible to reconstruct these traits from a sufficiently extensive monitoring dataset. Here we use diffusion maps, a deterministic and de-facto parameter-free analysis method, to reconstruct a proxy representation of the species' traits directly from monitoring data and use it to estimate functional diversity. We demonstrate this approach both with simulated data and real-world phytoplankton monitoring data from the Baltic sea. We anticipate that wider application of this approach to existing data could greatly advance the analysis of changes in functional biodiversity.
description: 37 pages, main text ends on page 13, color figures
title: Ergebnisse der Thorakoskopischen Korrektur der Ösophagusatresie IIIb
Creators: name: Cavdar, Seher
name: Obermayr, Florian
name: Lieber, Justus
name: Kirschner, Hans-Joachim
name: Fuchs, Jörg
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Einleitung: Die thorakoskopische Korrektur der Ösophagusatresie (ÖA) ist in der Literatur umfassend beschrieben. Die Einschlusskriterien sind bisher uneinheitlich. In dieser Studie sollte das eigene Patientenkollektiv analysiert werden. Material und Methoden: In unserer Abteilung wurden[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 133. Kongress der Deutschen Gesellschaft für Chirurgie
Crystalline Responses for Rotation-Invariant Higher-Order Topological Insulators
Creators: name: May-Mann, Julian
name: Hughes, Taylor L.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Two-dimensional higher-order topological insulators can display a number of exotic phenomena such as half-integer charges localized at corners or disclination defects. In this paper, we analyze these phenomena, focusing on the paradigmatic example of the quadrupole insulator with $C_4$ rotation symmetry, and present a topological field theory description of the mixed geometry-charge responses. Our theory provides a unified description of the corner and disclination charges in terms of a physical geometry (which encodes disclinations), and an effective geometry (which encodes corners). We extend this analysis to interacting systems, and predict the response of fractional quadrupole insulators, which exhibit charge $e/2(2k+1)$ bound to corners and disclinations.
description: 11 pages, 2 figures
The effects of synthetic opioids on neurohypophysial oxytocin and arginine vasopressin release in the rat : with particular reference to the pharmacology of N-(cyclopropylmethyl)-19-isopentylnororvinal (M320)
Creators: name: Evans., Roger George
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
High visibility time-energy entangled photons from a silicon nanophotonic chip
Creators: name: Rogers, Steven
name: Mulkey, Daniel
name: Lu, Xiyuan
name: Jiang, Wei C.
name: Lin, Qiang
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Physics (quant-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Advances in quantum photonics have shown that chip-scale quantum devices are translating from the realm of basic research to applied technologies. Recent developments in integrated photonic circuits and single photon detectors indicate that the bottleneck for fidelity in quantum photonic processes will ultimately lie with the photon sources. We present and demonstrate a silicon nanophotonic chip capable of emitting telecommunication band photon pairs that exhibit the highest raw degree of time-energy entanglement from a micro/nanoscale source, to date. Biphotons are generated through cavity-enhanced spontaneous four-wave mixing (SFWM) in a high-Q silicon microdisk resonator, wherein the nature of the triply-resonant generation process leads to a dramatic Purcell enhancement, resulting in highly efficient pair creation rates as well as extreme suppression of the photon noise background. The combination of the excellent photon source and a new phase locking technique, allow for the observation of a nearly perfect coincidence visibility of (96.6 $\pm$ 1.1)$\%$, without any background subtraction, at a large pair generation rate of (4.40 $\pm$ 0.07) $\times$ 10$^5$ pairs/s.
title: Pedagogical approaches to project-based learning : meeting the education needs of the globally responsible engineering workforce
Creators: name: Truslove, J.
name: Crichton, E.
name: Whitehead, T.
name: Clark, R.
Publisher: name: University of Strathclyde
Year: 2022

description: The world is facing increasing complexity, uncertainty, and change, such as the climate emergency, biodiversity loss and increasing inequalities. Engineering graduates entering the workplace will address sustainability and global challenges, well beyond the horizon of the Sustainable Development Goals (SDG). Addressing these requires disruption to traditional education pedagogies and approaches, to enable students to develop globally responsible outcomes and tackle the complex challenges of the future. Project-based learning is a unique and powerful tool for connecting across disciplines, experience levels, and stakeholders, with the goal of redefining engineering and the way that it is taught and practised. During a pivotal moment in an undergraduate student’s learning, the Engineering for People Design Challenge encourages multi-disciplinary groups of university students to broaden their awareness of the social, environmental, economic, and ethical implications of engineering alongside technical skills when developing solutions. Since its conception in 2011, the in-curriculum design challenge has reached over 60,000 students. This paper explores how and where the design challenge has been embedded and some of the innovative approaches that embed globally responsible engineering principles and commitment for emerging graduate engineers. Approaches include cross-faculty delivery, multidisciplinary teams incorporating the arts and fully project-based learning. The findings of this paper are part of a longitudinal study to understand the dynamic approaches to delivering the design challenge and seeks to inspire educators and challenge traditional approaches to engineering education.
title: Introducing thoracoscopic SGEA repair and Foker procedure in LGEA – a field report from Dresden
Creators: name: Schulze, Annekatrin
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Background: Esophageal atresia (EA) is a common malformation in Pediatric Surgery. In recent years we have adopted two tecnique surgical approaches to our treatment and would like to share our experiences with them. Materials and methods: Within the years 2010 and 2015 we treated 21 patients[for full text, please go to the a.m. URL]
description: 133. Kongress der Deutschen Gesellschaft für Chirurgie
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization
Creators: name: Cohen, Kfir M.
name: Park, Sangwoo
name: Simeone, Osvaldo
name: Shamai, Shlomo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Two of the main principles underlying the life cycle of an artificial intelligence (AI) module in communication networks are adaptation and monitoring. Adaptation refers to the need to adjust the operation of an AI module depending on the current conditions; while monitoring requires measures of the reliability of an AI module's decisions. Classical frequentist learning methods for the design of AI modules fall short on both counts of adaptation and monitoring, catering to one-off training and providing overconfident decisions. This paper proposes a solution to address both challenges by integrating meta-learning with Bayesian learning. As a specific use case, the problems of demodulation and equalization over a fading channel based on the availability of few pilots are studied. Meta-learning processes pilot information from multiple frames in order to extract useful shared properties of effective demodulators across frames. The resulting trained demodulators are demonstrated, via experiments, to offer better calibrated soft decisions, at the computational cost of running an ensemble of networks at run time. The capacity to quantify uncertainty in the model parameter space is further leveraged by extending Bayesian meta-learning to an active setting. In it, the designer can select in a sequential fashion channel conditions under which to generate data for meta-learning from a channel simulator. Bayesian active meta-learning is seen in experiments to significantly reduce the number of frames required to obtain efficient adaptation procedure for new frames.
description: To appear in IEEE Transactions on Signal Processing
WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue
Creators: name: Khandelwal, Anant
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: An intelligent dialogue system in a multi-turn setting should not only generate the responses which are of good quality, but it should also generate the responses which can lead to long-term success of the dialogue. Although, the current approaches improved the response quality, but they over-look the training signals present in the dialogue data. We can leverage these signals to generate the weakly supervised training data for learning dialog policy and reward estimator, and make the policy take actions (generates responses) which can foresee the future direction for a successful (rewarding) conversation. We simulate the dialogue between an agent and a user (modelled similar to an agent with supervised learning objective) to interact with each other. The agent uses dynamic blocking to generate ranked diverse responses and exploration-exploitation to select among the Top-K responses. Each simulated state-action pair is evaluated (works as a weak annotation) with three quality modules: Semantic Relevant, Semantic Coherence and Consistent Flow. Empirical studies with two benchmarks indicate that our model can significantly out-perform the response quality and lead to a successful conversation on both automatic evaluation and human judgement.
description: 12 pages, 1 figures, 2 tables, Accepted at INLG'21
title: Влияние препарата силиостин на показатели ветеринарно-санитарной оценки продуктов убоя цыплят-бройлеров
Creators: name: Власенко, Артем Андреевич
name: Семененко, Ксения Андреевна
name: Семененко, Марина Петровна
Publisher: name: ФГБНУ КНЦЗВ
Year: 2022

description: В статье представлены материалы по изучению влияния препарата силиостин на пока-затели ветеринарно-санитарной оценки мяса и субпродуктов цыплят-бройлеров кросса КОББ-500. Опытные 28 суточные цыплята данного кросса на протяжении 14 дней перорально получали препарат силиостин в дозе 1% к массе корма основного рациона. Потребление пре-парата силиостин цыплятами-бройлерами не вызывает изменений органолептических и биохимических показателей мяса, в том числе качество, вкусовые показатели и изменение запаха.
Tensor-network algorithm for nonequilibrium relaxation in the thermodynamic limit
Creators: name: Hotta, Yoshihito
Publisher: name: arXiv
Year: 2015
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We propose a tensor-network algorithm for discrete-time stochastic dynamics of a homogeneous system in the thermodynamic limit. We map a $d$-dimensional nonequilibrium Markov process to a $(d+1)$-dimensional infinite tensor network by using a higher-order singular-value decomposition. As an application of the algorithm, we compute the nonequilibrium relaxation from a fully magnetized state to equilibrium of the one- and two- dimensional Ising models with periodic boundary conditions. Utilizing the translational invariance of the systems, we analyze the behavior in the thermodynamic limit directly. We estimated the dynamical critical exponent $z=2.16(5)$ for the two-dimensional Ising model. Our approach fits well with the framework of the nonequilibrium-relaxation method. Our algorithm can compute time evolution of the magnetization of a large system precisely for a relatively short period. In the nonequilibrium-relaxation method, on the other hand, one needs to simulate dynamics of a large system for a short time. The combination of the two provides a new approach to the study of critical phenomena.
description: 20 pages, 8 figures
Quantum dynamics of ultracold Bose polarons
Creators: name: Shchadilova, Yulia E.
name: Schmidt, Richard
name: Grusdt, Fabian
name: Demler, Eugene
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Other Condensed Matter (cond-mat.other)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We analyze the dynamics of Bose polarons in the vicinity of a Feshbach resonance between the impurity and host atoms. We compute the radio-frequency absorption spectra for the case when the initial state of the impurity is non-interacting and the final state is strongly interacting. We compare results of different theoretical approaches including a single excitation expansion, a self-consistent T-matrix method, and a time-dependent coherent state approach. Our analysis reveals sharp spectral features arising from metastable states with several Bogoliubov excitations bound to the impurity atom. This surprising result of the interplay of many-body and few-body Efimov type bound state physics can only be obtained by going beyond the commonly used Fröhlich model and including quasiparticle scattering processes. Close to the resonance we find that strong fluctuations lead to a broad, incoherent absorption spectrum where no quasi-particle peak can be assigned.
description: 9 pages, 4 figures
Phase transition results for three Ramsey-like theorems
Creators: name: Pelupessy, Florian
Publisher: name: arXiv
Year: 2016
Subjects: subject: Logic (math.LO)
subject: FOS: Mathematics
subject: 03F30, 03D20, 03H15

description: We classify a sharp phase transition threshold for Friedman's finite adjacent Ramsey theorem. We extend the method for showing this result to two previously known classifications involving Ramsey theorem variants: the Paris--Harrington theorem and the Kanamori--McAloon theorem. We also provide tools to remove ad-hoc arguments from the proofs of phase transition results as much as currently possible.
description: This is the pre-peer reviewed version of a paper which has been accepted for publication at the Notre Dame Journal of Formal Logic (2016)
MPEC 2023-F132 : SIX NEW TNOS
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2023
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: SIX NEW TNOS

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
title: Эффективность использования кормовой добавки «Диаретин – С» при кормлении молодняка овец в период пастбищного содержания
Creators: name: Гусейнова, Нина Валерьевна
Publisher: name: ФГБНУ КНЦЗВ
Year: 2022

description: Исследования по эффективному использованию комовой добавки пребиотического действия для ягнят с 4 месячного возраста проведены в период перехода на пастбищное со-держание. В ходе проведения научно-практического исследования при выращивании молод-няка овец в пастбищный период (после отбивки от матки) на базе хозяйства СПК «Колхоз-племзавод Вторая Пятилетка» Ипатовского района Ставропольского края были определены ботанический состав, химический состав травы, комбикорма, фактическое потребление кор-мов, норма скармливания кормовой добавки. Установлено, что при скармливании кормовой добавки в дозе 25 г на голову прирост живой массы был выше аналогов контрольной группы на 4,4 %. В тоже время при дозе 45 г на голову прирост превосходил сверстников контроль-ной группы на 17,0 %. Необходимо отметить, что у животных опытных II и III групп отсут-ствовали признаки желудочно-кишечных заболеваний, тогда как в контрольной первой группе они составили 20 %. В ходе эксперимента было установлено положительное влияние кормовой добавки «Диаретин – С» на продуктивность животных.
Application of Machine Learning in RAN Evolution for new Generation of mobile networks
Creators: Seyedesmaeil Seyedalikhani
Publisher: name: University of Alberta Library
Year: 2023

The telecommunication industry has experienced considerable improvement and changes during the past years. Many standards and protocols have been introduced and implemented. This revolution in Radio Access Networks (RAN) is known as GSM, UMTS, LTE, 5G, and now B5G networks. Satisfying the user demands and keeping the level of QoS and QoE within the acceptable range have always been challenges for internet service providers and telecommunication operators. The researchers and studies are ongoing to address these massive requests and users' tendency to achieve reliable, low latency, and high throughput services.

oftware Define Networking (SDN), Network Virtualization Function (NVF), Self-Organizing Networks (SON), and increasing capacity solutions (mmWave communication, Massive MIMO, Network Slicing, Beamforming, and RAN Evolutions) are the main proposed and implemented solutions during the past decade in 5G networks. However, whenever we talk about the data, we will see the brilliant role of machine learning.

In this study, we have researched and implemented machine-learning algorithms in new evolutions of RAN. We can mention RAN evolution as Distributed-RAN, Cloud-RAN, Virtual-RAN, and now Open-RAN. Open RAN is a novel method of setting up and running wireless networks Using standardized, interoperable hardware and software components. Instead of being dependent on the proprietary technology of a single vendor, an open RAN architecture separates the radio access network into interchangeable, functional components.

The proposed scenario uses supervised-learning algorithms to make predation (classification) of services and slices in Open-RAN 5G networks. This AI/ML scenario is implemented in the RIC (Radio Intelligent Controller) block of O-RAN, and we have evaluated and compared the performance of five different supervised-learning algorithms. A novel method based on hyperparameters tuning and K-fold cross-validating is proposed for Random Forest Algorithm. This technique will improve the classified results compared to the introduced baselines. The algorithms' training phase utilizes the KPI and KQI data of a 5G network. Moreover, simulation results prove that considering both KPI and KQI will improve the results compared to only KPI scenarios.
The Presence and Absence of Barren Plateaus in Tensor-network Based Machine Learning
Creators: name: Liu, Zidu
name: Yu, Li-Wei
name: Duan, L. -M.
name: Deng, Dong-Ling
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: Tensor networks are efficient representations of high-dimensional tensors with widespread applications in quantum many-body physics. Recently, they have been adapted to the field of machine learning, giving rise to an emergent research frontier that has attracted considerable attention. Here, we study the trainability of tensor-network based machine learning models by exploring the landscapes of different loss functions, with a focus on the matrix product states (also called tensor trains) architecture. In particular, we rigorously prove that barren plateaus (i.e., exponentially vanishing gradients) prevail in the training process of the machine learning algorithms with global loss functions. Whereas, for local loss functions the gradients with respect to variational parameters near the local observables do not vanish as the system size increases. Therefore, the barren plateaus are absent in this case and the corresponding models could be efficiently trainable. Our results reveal a crucial aspect of tensor-network based machine learning in a rigorous fashion, which provide a valuable guide for both practical applications and theoretical studies in the future.
description: 7+21 pages
Development of various minor histocompatibility antigen sources for generation of T cells for adoptive immunotherapy
Creators: name: Etto., Tamara Louise
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Tilted spin current generated by the collinear antiferromagnet RuO2
Creators: name: Bose, Arnab
name: Schreiber, Nathaniel J.
name: Jain, Rakshit
name: Shao, Ding-Fu
name: Nair, Hari P.
name: Sun, Jiaxin
name: Zhang, Xiyue S.
name: Muller, David A.
name: Tsymbal, Evgeny Y.
name: Schlom, Darrell G.
name: Ralph, Daniel C.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We report measurements demonstrating that when the Neel vector of the collinear antiferromagnet RuO2 is appropriately canted relative to the sample plane, the antiferromagnet generates a substantial out of plane damping-like torque. The measurements are in good accord with predictions that when an electric field, E is applied to the spin split band structure of RuO2 it can cause a strong transverse spin current even in the absence of spin-orbit coupling. This produces characteristic changes in all three components of the E induced torque vector as a function of the angle of E relative to the crystal axes, corresponding to a spin current with a well defined tilted spin orientation s approximately (but not exactly) parallel to the Neel vector, flowing perpendicular to both E and S. This angular dependence is the signature of an antiferromagnetic spin Hall effect with symmetries that are distinct from other mechanisms of spin-current generation reported in antiferromagnetic or ferromagnetic materials.
SAMARQAND VILOYATI XIZMAT KO'RSATISH SOHASIDA KICHIK TADBIRKORLIK SUBYEKTLARI FAOLIYATINING RIVOJLANISH HOLATI
Creators: name: SamDu Inson resurslarini boshqarish kafedrasi tayanch doktoranti  Ibroximova N.A.
Publisher: name: Zenodo
Year: 2024

description: Xizmat ko’rsatish sohasining o’ziga xos jihati sohada faoliyat yuritayotgan korxonalar, xususan, kichik korxonalar tomonidan aholini turli xiz xizmatlarga bo’lgan talab va ehtiyojlarini qondirish bilan belgilanadi. Xizmat ko’rsatish sohasining rivojlanishiga umumiy tavsif berish hamda mazkur sohadagi xo’jalik sub’ektlari faoliyatining o’ziga xosligini aniqlash uchun sohaning rivojlanish holatini tahlil qilish orqali iqtisodiy o’sishini ta’minlash omillarini tadqiq etish nazarda tutiladi. Milliy iqtisodiyotning soha va tarmoqlari tarkibida xizmat ko’rsatish sohasi jadal sur’atlar bilan rivojlanib boruvchi sohalardan biridir.
Thermodynamics of the two-dimensional XY model from functional renormalization
Creators: name: Jakubczyk, Pawel
name: Eberlein, Andreas
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Gases (cond-mat.quant-gas)
subject: Superconductivity (cond-mat.supr-con)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We solve the nonperturbative renormalization-group flow equations for the two-dimensional XY model at the truncation level of the (complete) second-order derivative expansion. We compute the thermodynamic properties in the high-temperature phase and compare the non-universal features specific to the XY model with results from Monte Carlo simulations. In particular, we study the position and magnitude of the specific heat peak as a function of temperature. The obtained results compare well with Monte Carlo simulations. We additionally gauge the accuracy of simplified nonperturbative renormalization-group treatments relying on $ϕ^4$-type truncations. Our computation indicates that such an approximation is insufficient in the high-$T$ phase and a correct analysis of the specific heat profile requires account of an infinite number of interaction vertices.
description: 8 pages, 4 figures
A lifting of the Goulden-Jackson cluster method to the Malvenuto-Reutenauer algebra
Creators: name: Zhuang, Yan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05A05, 05A15, 05E05

description: The Goulden-Jackson cluster method is a powerful tool for counting words by occurrences of prescribed subwords, and was adapted by Elizalde and Noy for counting permutations by occurrences of prescribed consecutive patterns. In this paper, we lift the cluster method for permutations to the Malvenuto-Reutenauer algebra. Upon applying standard homomorphisms, our result specializes to both the cluster method for permutations as well as a q-analogue which keeps track of the inversion number statistic. We construct additional homomorphisms using the theory of shuffle-compatibility, leading to further specializations which keep track of various "inverse statistics", including the inverse descent number, inverse peak number, and inverse left peak number. This approach is then used to derive formulas for counting permutations by occurrences of two families of consecutive patterns -- monotone patterns and transpositional patterns -- refined by these statistics.
description: 41 pages
Some identities of fully degenerate Dowling and fully degenerate Bell polynomials arising from lambda-umbral calculus
Creators: name: Ma, Yuankui
name: Kim, Taekyun
name: Lee, Hyunseok
name: Kim, Dae San
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11B73, 11B83

description: Recently, Kim-Kim introduced the lambda-umbral calculus, in which the lambda-Sheffer sequences occupy the central position. In this paper, we introduce the fully degenerate Bell and the fully degenerate Dowling polynomials, and investigate some properties and identities relating to those polynomials with the help oflambda-umbral calculus. Here we note that the fully degenerate Bell poynomials and the fully degenerate Dowling polynomials are respectively degenerate versions of the Bell polynomials and the Dowling polynomials, of which the latters are the natural extension of the Whitney numbers of the second kind.
description: 14 pages
On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games
Creators: name: Deng, Xiaotie
name: Li, Ningyuan
name: Mguni, David
name: Wang, Jun
name: Yang, Yaodong
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Science and Game Theory (cs.GT)
subject: Computational Complexity (cs.CC)
subject: Machine Learning (cs.LG)
subject: Multiagent Systems (cs.MA)
subject: FOS: Computer and information sciences

description: Similar to the role of Markov decision processes in reinforcement learning, Stochastic Games (SGs) lay the foundation for the study of multi-agent reinforcement learning (MARL) and sequential agent interactions. In this paper, we derive that computing an approximate Markov Perfect Equilibrium (MPE) in a finite-state discounted Stochastic Game within the exponential precision is \textbf{PPAD}-complete. We adopt a function with a polynomially bounded description in the strategy space to convert the MPE computation to a fixed-point problem, even though the stochastic game may demand an exponential number of pure strategies, in the number of states, for each agent. The completeness result follows the reduction of the fixed-point problem to {\sc End of the Line}. Our results indicate that finding an MPE in SGs is highly unlikely to be \textbf{NP}-hard unless \textbf{NP}=\textbf{co-NP}. Our work offers confidence for MARL research to study MPE computation on general-sum SGs and to develop fruitful algorithms as currently on zero-sum SGs.
description: This paper has been fully published at National Science Review. Please refer to https://doi.org/10.1093/nsr/nwac256 for the official version
Neuropeptidergic control of gonadotropin releasing hormone (GnRH) and luteinizing hormone (LH) secretion throughout the estrous cycle of the ewe
Creators: name: Estrada., Karla Maribel
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access
Creators: name: Ratledge, Nathan
name: Cadamuro, Gabe
name: de la Cuesta, Brandon
name: Stigler, Matthieu
name: Burke, Marshall
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Economics (econ.GN)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Economics and business
subject: FOS: Computer and information sciences

description: In many regions of the world, sparse data on key economic outcomes inhibits the development, targeting, and evaluation of public policy. We demonstrate how advancements in satellite imagery and machine learning can help ameliorate these data and inference challenges. In the context of an expansion of the electrical grid across Uganda, we show how a combination of satellite imagery and computer vision can be used to develop local-level livelihood measurements appropriate for inferring the causal impact of electricity access on livelihoods. We then show how ML-based inference techniques deliver more reliable estimates of the causal impact of electrification than traditional alternatives when applied to these data. We estimate that grid access improves village-level asset wealth in rural Uganda by 0.17 standard deviations, more than doubling the growth rate over our study period relative to untreated areas. Our results provide country-scale evidence on the impact of a key infrastructure investment, and provide a low-cost, generalizable approach to future policy evaluation in data sparse environments.
Integral points on singular del Pezzo surfaces
Creators: name: Derenthal, Ulrich
name: Wilsch, Florian
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 11D45 (Primary), 11G35, 14G05, 14J26 (Secondary)

description: In order to study integral points of bounded log-anticanonical height on weak del Pezzo surfaces, we classify weak del Pezzo pairs. As a representative example, we consider a quartic del Pezzo surface of singularity type $\mathbf{A}_1+\mathbf{A}_3$ and prove an analogue of Manin's conjecture for integral points with respect to its singularities and its lines.
description: 28 pages, 4 figures; improvements in exposition, updated references; appeared in J. Inst. Math. Jussieu
Genetic and physical analysis of Pseudomonas solanacearum strains PS01 and PS1000
Creators: name: Escuadra., Maria Dolores M.
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Dynamic Fusion Network for RGBT Tracking
Creators: name: Peng, Jingchao
name: Zhao, Haitao
name: Hu, Zhengwei
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: For both visible and infrared images have their own advantages and disadvantages, RGBT tracking has attracted more and more attention. The key points of RGBT tracking lie in feature extraction and feature fusion of visible and infrared images. Current RGBT tracking methods mostly pay attention to both individual features (features extracted from images of a single camera) and common features (features extracted and fused from an RGB camera and a thermal camera), while pay less attention to the different and dynamic contributions of individual features and common features for different sequences of registered image pairs. This paper proposes a novel RGBT tracking method, called Dynamic Fusion Network (DFNet), which adopts a two-stream structure, in which two non-shared convolution kernels are employed in each layer to extract individual features. Besides, DFNet has shared convolution kernels for each layer to extract common features. Non-shared convolution kernels and shared convolution kernels are adaptively weighted and summed according to different image pairs, so that DFNet can deal with different contributions for different sequences. DFNet has a fast speed, which is 28.658 FPS. The experimental results show that when DFNet only increases the Mult-Adds of 0.02% than the non-shared-convolution-kernel-based fusion method, Precision Rate (PR) and Success Rate (SR) reach 88.1% and 71.9% respectively.
Structural, personal and socioenvironmental determinants of hiv transmission among transgender women in Indonesia
Creators: name: Ward, Paul
Publisher: name: Torrens University Australia
Year: 2023
Subjects: Social determinants of health

description: Transgender populations are considered as a highly vulnerable group to HIV infection. This study aimed to understand structural, personal and socioenvironmental factors and the mechanisms through which these factors facilitate HIV transmission among transgender women (waria) in Yogyakarta, Indonesia. A qualitative inquiry using one-on-one in-depth interviews was employed to collect data from participants (n = 29). Thematic analysis was used to guide data analysis. Findings showed that poverty in families, a sense of responsibility to support family necessities, limited employment options and low education attainment were the structural factors driving participants’ engagement in sex work practices and unprotected anal intercourse, which facilitated HIV transmission among them. Personal need fulfilment and the desire for savings were personal factors driving their engagement in these high-risk practices that supported HIV transmission. Social relationships, social influence and the participants’ living environment were socioenvironmental factors that also supported sex work practices and HIV transmission among the participants. The findings indicate the need for capacity building in terms of knowledge and skills for waria populations to prepare and enable them to gain meaningful employment to prevent the vicious cycle of HIV transmission among them. As structural factors seemed to be the main drivers predisposing waria to HIV acquisition, further studies to explore effective HIV/AIDS interventions that address economic aspects of waria in Yogyakarta and other similar settings in Indonesia are recommended.
Creating superconductivity in WB2 through pressure-induced metastable planar defects
Creators: name: Lim, J.
name: Hire, A. C.
name: Quan, Y.
name: Kim, J. S.
name: Xie, S. R.
name: Sinha, S.
name: Kumar, R. S.
name: Popov, D.
name: Park, C.
name: Hemley, R. J.
name: Hamlin, J. J.
name: Hennig, R. G.
name: Hirschfeld, P. J.
name: Stewart, G. R.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: High-pressure electrical resistivity measurements reveal that the mechanical deformation of ultra-hard WB2 during compression induces superconductivity above 50 GPa with a maximum superconducting critical temperature, Tc of 17 K at 90 GPa. Upon further compression up to 190 GPa, the Tc gradually decreases. Theoretical calculations show that electron-phonon mediated superconductivity originates from the formation of metastable stacking faults and twin boundaries that exhibit a local structure resembling MgB2} (hP3, space group 191, prototype AlB2). Synchrotron x-ray diffraction measurements up to 145 GPa} show that the ambient pressure hP12 structure (space group 194, prototype WB2) continues to persist to this pressure, consistent with the formation of the planar defects above 50 GPa. The abrupt appearance of superconductivity under pressure does not coincide with a structural transition but instead with the formation and percolation of mechanically-induced stacking faults and twin boundaries. The results identify an alternate route for designing superconducting materials.
description: 10 pages, 4 figures plus supplemental material with 9 figures
Séminaires en gestion pharmaceutique en établissement de santé : 10 ans de recul
Creators: name: Corny, Jennifer
name: Bussières, Jean-François
Publisher: name: Unité de recherche en pratique pharmaceutique
Year: 2015
Subjects: Gestion
Gestion pharmaceutique
Établissement de santé
Formation
Pharmacie
Histoire

description: Introduction : Dans le cadre de la refonte du baccalauréat en pharmacie, l’enseignement de la gestion pharmaceutique en établissement de santé est passé du 1er au 2ème cycle en 2003. Objectifs : L’objectif de cet article est de présenter les résultats détaillés des thèmes traités dans le cadre du séminaire de gestion en pharmacie hospitalière dans les dix dernières années. Méthode : Il s’agit d’une étude descriptive rétrospective. À partir du matériel pédagogique archivé par le professeur responsable du cours, nous avons recensé l’ensemble des thèmes traités dans le cadre du séminaire de gestion en pharmacie hospitalière de 2006 à 2015. Résultats : Un total de 213 équipes a présenté au fil des années autant de sujets de controverses de gestion sur une variété de thématiques. Conclusion : Cet article complémentaire offre une recension détaillée des thèmes traités dans le cadre du séminaire de gestion en pharmacie hospitalière.
Self-Enhancing Multi-filter Sequence-to-Sequence Model
Creators: name: Yang, Yunhao
name: Xue, Zhaokun
name: Whinston, Andrew
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Representation learning is important for solving sequence-to-sequence problems in natural language processing. Representation learning transforms raw data into vector-form representations while preserving their features. However, data with significantly different features leads to heterogeneity in their representations, which may increase the difficulty of convergence. We design a multi-filter encoder-decoder model to resolve the heterogeneity problem in sequence-to-sequence tasks. The multi-filter model divides the latent space into subspaces using a clustering algorithm and trains a set of decoders (filters) in which each decoder only concentrates on the features from its corresponding subspace. As for the main contribution, we design a self-enhancing mechanism that uses a reinforcement learning algorithm to optimize the clustering algorithm without additional training data. We run semantic parsing and machine translation experiments to indicate that the proposed model can outperform most benchmarks by at least 5\%. We also empirically show the self-enhancing mechanism can improve performance by over 10\% and provide evidence to demonstrate the positive correlation between the model's performance and the latent space clustering.
description: Published at Procedia Computer Science
Long-distance synchronization of unidirectionally cascaded optomechanical systems
Creators: name: Li, Tan
name: Bao, Tian-Yi
name: Zhang, Yan-Lei
name: Zou, Chang-Ling
name: Zou, Xu-Bo
name: Guo, Guang-Can
Publisher: name: arXiv
Year: 2015
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Synchronization is of great scientific interest due to the abundant applications in a wide range of systems. We propose a scheme to achieve the controllable long-distance synchronization of two dissimilar optomechanical systems, which are unidirectionally coupled through a fiber with light. Synchronization, unsynchronization, and the dependence of the synchronization on driving laser strength and intrinsic frequency mismatch are studied based on the numerical simulation. Taking the fiber attenuation into account, it's shown that two mechanical resonators can be synchronized over a distance of tens of kilometers. In addition, we also analyze the unidirectional synchronization of three optomechanical systems, demonstrating the scalability of our scheme.
description: 7 pages, 7 figures
Dysregulation of coagulation in crescentic glomerulonephritis
Creators: name: Erlich., Jonathan Harry
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Superfluidity enhanced by spin-flip tunnelling in the presence of a magnetic field
Creators: name: Zheng, Jun-Hui
name: Wang, Daw-Wei
name: Juzeliunas, Gediminas
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: It is well-known that when the magnetic field is stronger than a critical value, the spin imbalance can break the Cooper pairs of electrons and hence hinder the superconductivity in a spin-singlet channel. In a bilayer system of ultra-cold Fermi gases, however, we demonstrate that the critical value of the magnetic field at zero temperature can be significantly increased by including a spin-flip tunnelling, which opens a gap in the spin-triplet channel near the Fermi surface and hence reduces the influence of the effective magnetic field on the superfluidity. The phase transition also changes from first order to second order when the tunnelling exceeds a critical value. Considering a realistic experiment, this mechanism can be implemented by applying an intralayer Raman coupling between the spin states with a phase difference between the two layers.
description: 10+4 pages, 8 figures
Monte Carlo characterization of PETALO, a full-body liquid xenon-based PET detector
Creators: name: Renner, J.
name: Romo-Luque, C.
name: Aliaga, R. J.
name: Álvarez, V.
name: Ballester, F.
name: Benlloch-Rodríguez, J. M.
name: Carrión, J. V.
name: Cubero, D.
name: Díaz, J.
name: Esteve, R.
name: Gadea, R.
name: Gillam, J.
name: Generowicz, J.
name: López-Gómez, J. L.
name: Martínez, A.
name: Monrabal, F.
name: Querol, M.
name: Rappaport, M.
name: Rodríguez, J.
name: Rodríguez-Ponce, J.
name: Solevi, P.
name: Teruel-Pardo, S.
name: Toledo, J. F.
name: Torres-Curado, R.
name: Herrero-Bosch, V.
name: Gómez-Cadenas, J. J.
name: Ferrario, P.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: Medical Physics (physics.med-ph)
subject: FOS: Physical sciences

description: New detector approaches in Positron Emission Tomography imaging will play an important role in reducing costs, lowering administered radiation doses, and improving overall performance. PETALO employs liquid xenon as the active scintillating medium and UV-sensitive silicon photomultipliers for scintillation readout. The scintillation time in liquid xenon is fast enough to register time-of-flight information for each detected coincidence, and sufficient scintillation is produced with low enough fluctuations to obtain good energy resolution. The present simulation study examines a full-body-sized PETALO detector and evaluates its potential performance in PET image reconstruction.