cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Exact penalty functions with multidimensional penalty parameter and adaptive penalty updates
Creators: name: Dolgopolik, M. V.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: We present a general theory of exact penalty functions with vectorial (multidimensional) penalty parameter for optimization problems in infinite dimensional spaces. In comparison with the scalar case, the use of vectorial penalty parameters provides much more flexibility, allows one to adaptively and independently take into account the violation of each constraint during an optimization process, and often leads to a better overall performance of an optimization method using an exact penalty function. We obtain sufficient conditions for the local and global exactness of penalty functions with vectorial penalty parameters and study convergence of global exact penalty methods with several different penalty updating strategies. In particular, we present a new algorithmic approach to an analysis of the global exactness of penalty functions, which contains a novel characterisation of the global exactness property in terms of behaviour of sequences generated by certain optimization methods.
description: In the second version, a number of small mistakes found in the paper was corrected
Cosmology-informed neural networks to solve the background dynamics of the Universe
Creators: name: Chantada, Augusto T.
name: Landau, Susana J.
name: Protopapas, Pavlos
name: Scóccola, Claudia G.
name: Garraffo, Cecilia
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The field of machine learning has drawn increasing interest from various other fields due to the success of its methods at solving a plethora of different problems. An application of these has been to train artificial neural networks to solve differential equations without the need of a numerical solver. This particular application offers an alternative to conventional numerical methods, with advantages such as lower memory required to store solutions, parallelization, and, in some cases, a lower overall computational cost than its numerical counterparts. In this work, we train artificial neural networks to represent a bundle of solutions of the differential equations that govern the background dynamics of the Universe for four different models. The models we have chosen are $Λ\mathrm{CDM}$, the Chevallier-Polarski-Linder parametric dark energy model, a quintessence model with an exponential potential, and the Hu-Sawicki $f(R)$ model. We use the solutions that the networks provide to perform statistical analyses to estimate the values of each model's parameters with observational data; namely, estimates of the Hubble parameter from cosmic chronometers, type Ia supernovae data from the Pantheon compilation, and measurements from baryon acoustic oscillations. The results we obtain for all models match similar estimations done in the literature using numerical solvers. In addition, we estimate the error of the solutions that the trained networks provide by comparing them with the analytical solution when there is one, or to a high-precision numerical solution when there is not. Through these estimations we find that the error of the solutions is at most $\sim1\%$ in the region of the parameter space that concerns the $95\%$ confidence regions that we find using the data, for all models and all statistical analyses performed in this work.
description: 28 pages, 10 figures, 10 tables, supplemental material available at https://github.com/at-chantada/Supplemental-Materials
SYM, Chern-Simons, Wess-Zumino Couplings and their higher derivative corrections in IIA Superstring theory
Creators: name: Hatefi, Ehsan
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We find the entire form of the amplitude of two fermion strings (with different chirality), a massless scalar field and one closed string Ramond-Ramond (RR) in IIA superstring theory which is different from its IIB one. We make use of a very particular gauge fixing and explore several new couplings in IIA. All infinite $u$- channel scalar poles and $t,s$- channel fermion poles are also constructed. We find new form of higher derivative corrections to two fermion two scalar couplings and show that the first simple $(s+t+u)-$ channel scalar pole for $p+2=n$ case can be obtained by having new higher derivative corrections to SYM couplings at third order of $α'$. We find that the general structure and the coefficients of higher derivative corrections to two fermion two scalar couplings are completely different from the derived $α'$ higher derivative corrections of type IIB.
description: 29 pages, no figure,Latex file,published version in EPJC
Noether's Second Theorem on natural bundles
Creators: name: Navarro, Jose
name: Sancho, Juan B.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Mathematical Physics (math-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Differential Geometry (math.DG)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: Following work by I. Anderson, in this note we present a formulation of Noether's Second Theorem that is valid on any natural bundle.
description: 10 pages. Submitted to the Special Issue for the XXII International Fall Workshop on Geometry and Physics, held in Evora
Robustness of Kardar-Parisi-Zhang scaling in a classical integrable spin chain with broken integrability
Creators: name: Roy, Dipankar
name: Dhar, Abhishek
name: Spohn, Herbert
name: Kulkarni, Manas
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Mathematical Physics (math-ph)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: Recent investigations have observed superdiffusion in integrable classical and quantum spin chains. An intriguing connection between these spin chains and Kardar-Parisi-Zhang (KPZ) universality class has emerged. Theoretical developments (e.g. generalized hydrodynamics) have highlighted the role of integrability as well as spin-symmetry in KPZ behaviour. However understanding their precise role on superdiffusive transport still remains a challenging task. The widely used quantum spin chain platform comes with severe numerical limitations. To circumvent this barrier, we focus on a classical integrable spin chain which was shown to have deep analogy with the quantum spin-$\frac{1}{2}$ Heisenberg chain. Remarkably, we find that KPZ behaviour prevails even when one considers integrability-breaking but spin-symmetry preserving terms, strongly indicating that spin-symmetry plays a central role even in the non-perturbative regime. On the other hand, in the non-perturbative regime, we find that energy correlations exhibit clear diffusive behaviour. We also study the classical analog of out-of-time-ordered correlator (OTOC) and Lyapunov exponents. We find significant presence of chaos for the integrability-broken cases even though KPZ behaviour remains robust. The robustness of KPZ behaviour is demonstrated for a wide class of spin-symmetry preserving integrability-breaking terms.
description: 10 pages, 9 figures (including supplementary material)
Physics implication from a $Z_3$ symmetry of matter
Creators: name: Van Dong, Phung
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: I show that breaking $B-L$ by one unit of this charge is suitable for neutrino mass generation through an inverse seesaw mechanism, stabilizing a dark matter candidate without supersymmetry, as well as solving the muon anomalous magnetic moment and the $W$ mass deviation via dark field contributions. The new physics is governed by the residual $Z_3$ symmetry of $B-L$ isomorphic to the center of the color group, instead of the well-studied matter parity.
description: 7 pages, 2 figures, 3 tables; Title changed and presentation significantly improved; Published in PRD
The Divergence Borel-Cantelli Lemma revisited
Creators: name: Beresnevich, Victor
name: Velani, Sanju
Publisher: name: arXiv
Year: 2021
Subjects: subject: Probability (math.PR)
subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: Let $(Ω, \mathcal{A}, μ)$ be a probability space. The classical Borel-Cantelli Lemma states that for any sequence of $μ$-measurable sets $E_i$ ($i=1,2,3,\dots$), if the sum of their measures converges then the corresponding $\limsup$ set $E_\infty$ is of measure zero. In general the converse statement is false. However, it is well known that the divergence counterpart is true under various additional 'independence' hypotheses. In this paper we revisit these hypotheses and establish both sufficient and necessary conditions for $E_\infty$ to have either positive or full measure.
description: 26 pages
Some interactions between Hopf Galois extensions and noncommutative rings
Creators: name: Calderón, Fabio
name: Reyes, Armando
Publisher: name: arXiv
Year: 2021
Subjects: subject: Rings and Algebras (math.RA)
subject: Quantum Algebra (math.QA)
subject: FOS: Mathematics
subject: 16S36, 16T05, 16T20, 17B37

description: In this paper, our objects of interest are Hopf Galois extensions (e.g., Hopf algebras, Galois field extensions, strongly graded algebras, crossed products, principal bundles, etc.) and families of noncommutative rings (e.g., skew polynomial rings, PBW extensions and skew PBW extensions, etc.). We collect and systematize questions, problems, properties and recent advances in both theories by explicitly developing examples and doing calculations that are usually omitted in the literature. In particular, for Hopf Galois extensions we consider approaches from the point of view of quantum torsors (also known as quantum heaps) and Hopf Galois systems, while for some families of noncommutative rings we present advances in the characterization of ring-theoretic and homological properties. Every developed topic is exemplified with abundant references to classic and current works, so this paper serves as a survey for those interested in either of the two theories. Throughout, interactions between both are presented.
description: v1: 92 pages. v2: 91 pages; final version appearing in Universitas Scientiarum 27(2):58-148, 2022
title: Das Lied vom Vertrauen; [um 1848]
title: (Melodie: Wer ist der Ritter hochgeehrt!) (Aus Templer und Jüdin)
titleType: Subtitle
Creators: name: Fallersmann von Hofleben, ...
Publisher: name: Universitätsbibliothek der Ludwig-Maximilians-Universität München
Year: 2018

description: Kopftitel
Expressive Text-to-Speech using Style Tag
Creators: name: Kim, Minchan
name: Cheon, Sung Jun
name: Choi, Byoung Jin
name: Kim, Jong Jin
name: Kim, Nam Soo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: As recent text-to-speech (TTS) systems have been rapidly improved in speech quality and generation speed, many researchers now focus on a more challenging issue: expressive TTS. To control speaking styles, existing expressive TTS models use categorical style index or reference speech as style input. In this work, we propose StyleTagging-TTS (ST-TTS), a novel expressive TTS model that utilizes a style tag written in natural language. Using a style-tagged TTS dataset and a pre-trained language model, we modeled the relationship between linguistic embedding and speaking style domain, which enables our model to work even with style tags unseen during training. As style tag is written in natural language, it can control speaking style in a more intuitive, interpretable, and scalable way compared with style index or reference speech. In addition, in terms of model architecture, we propose an efficient non-autoregressive (NAR) TTS architecture with single-stage training. The experimental result shows that ST-TTS outperforms the existing expressive TTS model, Tacotron2-GST in speech quality and expressiveness.
description: Accepted by Interspeech 2021
NeuralTree: A 256-Channel 0.227-$μ$J/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC
Creators: name: Shin, Uisub
name: Ding, Cong
name: Zhu, Bingzhao
name: Vyza, Yashwanth
name: Trouillet, Alix
name: Revol, Emilie C. M.
name: Lacour, Stéphanie P.
name: Shoaran, Mahsa
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Closed-loop neural interfaces with on-chip machine learning can detect and suppress disease symptoms in neurological disorders or restore lost functions in paralyzed patients. While high-density neural recording can provide rich neural activity information for accurate disease-state detection, existing systems have low channel counts and poor scalability, which could limit their therapeutic efficacy. This work presents a highly scalable and versatile closed-loop neural interface SoC that can overcome these limitations. A 256-channel time-division multiplexed (TDM) front-end with a two-step fast-settling mixed-signal DC servo loop (DSL) is proposed to record high-spatial-resolution neural activity and perform channel-selective brain-state inference. A tree-structured neural network (NeuralTree) classification processor extracts a rich set of neural biomarkers in a patient- and disease-specific manner. Trained with an energy-aware learning algorithm, the NeuralTree classifier detects the symptoms of underlying disorders (e.g., epilepsy and movement disorders) at an optimal energy-accuracy tradeoff. A 16-channel high-voltage (HV) compliant neurostimulator closes the therapeutic loop by delivering charge-balanced biphasic current pulses to the brain. The proposed SoC was fabricated in 65-nm CMOS and achieved a 0.227-$μ$J/class energy efficiency in a compact area of 0.014mm$^2$/channel. The SoC was extensively verified on human electroencephalography (EEG) and intracranial EEG (iEEG) epilepsy datasets, obtaining 95.6%/94% sensitivity and 96.8%/96.9% specificity, respectively. In vivo neural recordings using soft $μ$ECoG arrays and multi-domain biomarker extraction were further performed on a rat model of epilepsy. In addition, for the first time in literature, on-chip classification of rest-state tremor in Parkinson's disease (PD) from human local field potentials (LFPs) was demonstrated.
TESIS R.docx (2).pdf
Creators: name: Encalada, Estephani
name: Pinedo, sheyla
Publisher: name: figshare
Year: 2023
Subjects: Epidemiological methods

description: Este trabajo es un análisis secundario de una base de datos caracterizada por contener información suficiente para el presente estudio, cuyos datos fueron recolectados en el Hospital Alberto L. Barton Thompson durante el año 2020. Las variables principales que son las imágenes tomográficas y la clínica al ingreso fueron medidas bajo algunos parámetros de los pacientes, basados según sus características, obteniendo cómo resultado algunas escalas establecidas sobre la severidad del COVID-19.
Confinement of Skyrmions in Nanoscale FeGe Device-like Structures
Creators: name: Twitchett-Harrison, A. C.
name: Loudon, J. C.
name: Pepper, R. A.
name: Birch, M. T.
name: Fangohr, H.
name: Midgley, P. A.
name: Balakrishnan, G.
name: Hatton, P. D.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Skyrmion-containing devices have been proposed as a promising solution for low energy data storage. These devices include racetrack or logic structures and require skyrmions to be confined in regions with dimensions comparable to the size of a single skyrmion. Here we examine Bloch skyrmions in FeGe device shapes using Lorentz transmission electron microscopy (LTEM) to reveal the consequences of skyrmion confinement in a device-like structure. Dumbbell-shaped elements were created by focused ion beam (FIB) milling to provide regions where single skyrmions are confined adjacent to areas containing a skyrmion lattice. Simple block shapes of equivalent dimensions were also prepared to allow a direct comparison with skyrmion formation in a less complex, yet still confined, device geometry. The impact of applying a magnetic field and varying the temperature on the formation of skyrmions within the shapes was examined. This revealed that it is not just confinement within a small device structure that controls the position and number of skyrmions, but that a complex device geometry changes the skyrmion behaviour, including allowing skyrmions to form at lower applied magnetic fields than in simple shapes. This could allow methods to be developed to control both the position and number of skyrmions within device structures.
The Aubry-Andre Anderson model: Magnetic impurities coupled to a fractal spectrum
Creators: name: Wu, Ang-Kun
name: Bauernfeind, Daniel
name: Cao, Xiaodong
name: Gopalakrishnan, Sarang
name: Ingersent, Kevin
name: Pixley, J. H.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The Anderson model for a magnetic impurity in a one-dimensional quasicrystal is studied using the numerical renormalization group (NRG). The main focus is elucidating the physics at the critical point of the Aubry-Andre (AA) Hamiltonian, which exhibits a fractal spectrum with multifractal wave functions, leading to an AA Anderson (AAA) impurity model with an energy-dependent hybridization function defined through the multifractal local density of states at the impurity site. We first study a class of Anderson impurity models with uniform fractal hybridization functions that the NRG can solve to arbitrarily low temperatures. Below a Kondo scale $T_K$, these models approach a fractal strong-coupling fixed point where impurity thermodynamic properties oscillate with $\log_b T$ about negative average values determined by the fractal dimension of the spectrum. The fractal dimension also enters into a power-law dependence of $T_K$ on the Kondo exchange coupling $J_K$. To treat the AAA model, we combine the NRG with the kernel polynomial method (KPM) to form an efficient approach that can treat hosts without translational symmetry down to a temperature scale set by the KPM expansion order. The aforementioned fractal strong-coupling fixed point is reached by the critical AAA model in a simplified treatment that neglects the wave-function contribution to the hybridization. The temperature-averaged properties are those expected for the numerically determined fractal dimension of $0.5$. At the AA critical point, impurity thermodynamic properties become negative and oscillatory. Under sample-averaging, the mean and median Kondo temperatures exhibit power-law dependences on $J_K$ with exponents characteristic of different fractal dimensions. We attribute these signatures to the impurity probing a distribution of fractal strong-coupling fixed points with decreasing temperature.
description: 29 pages, 19 figures
Solution of the explosive percolation quest: Scaling functions and critical exponents
Creators: name: da Costa, R. A.
name: Dorogovtsev, S. N.
name: Goltsev, A. V.
name: Mendes, J. F. F.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Mathematical Physics (math-ph)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: Percolation refers to the emergence of a giant connected cluster in a disordered system when the number of connections between nodes exceeds a critical value. The percolation phase transitions were believed to be continuous until recently when in a new so-called "explosive percolation" problem for a competition driven process, a discontinuous phase transition was reported. The analysis of evolution equations for this process showed however that this transition is actually continuous though with surprisingly tiny critical exponents. For a wide class of representative models, we develop a strict scaling theory of this exotic transition which provides the full set of scaling functions and critical exponents. This theory indicates the relevant order parameter and susceptibility for the problem, and explains the continuous nature of this transition and its unusual properties.
description: 15 pages, 5 figures
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods
Creators: name: Pomponi, Jary
name: Scardapane, Simone
name: Uncini, Aurelio
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: In this paper, we propose a novel ensembling technique for deep neural networks, which is able to drastically reduce the required memory compared to alternative approaches. In particular, we propose to extract multiple sub-networks from a single, untrained neural network by solving an end-to-end optimization task combining differentiable scaling over the original architecture, with multiple regularization terms favouring the diversity of the ensemble. Since our proposal aims to detect and extract sub-structures, we call it Structured Ensemble. On a large experimental evaluation, we show that our method can achieve higher or comparable accuracy to competing methods while requiring significantly less storage. In addition, we evaluate our ensembles in terms of predictive calibration and uncertainty, showing they compare favourably with the state-of-the-art. Finally, we draw a link with the continual learning literature, and we propose a modification of our framework to handle continuous streams of tasks with a sub-linear memory cost. We compare with a number of alternative strategies to mitigate catastrophic forgetting, highlighting advantages in terms of average accuracy and memory.
description: Article accepted at Neural Networks
Refined and Generalized $\hat{Z}$ Invariants for Plumbed 3-Manifolds
Creators: name: Ri, Song Jin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Geometric Topology (math.GT)
subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: Number Theory (math.NT)
subject: Quantum Algebra (math.QA)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We introduce a two-variable refinement $\hat{Z}_a(q,t)$ of plumbed 3-manifold invariants $\hat{Z}_a(q)$, which were previously defined for weakly negative definite plumbed 3-manifolds. We also provide a number of explicit examples in which we argue the recovering process to obtain $\hat{Z}_a(q)$ from $\hat{Z}_a(q,t)$ by taking a limit $ t\rightarrow 1 $. For plumbed 3-manifolds with two high-valency vertices, we analytically compute the limit by using the explicit integer solutions of quadratic Diophantine equations in two variables. Based on numerical computations of the recovered $\hat{Z}_a(q)$ for plumbings with two high-valency vertices, we propose a conjecture that the recovered $\hat{Z}_a(q)$, if exists, is an invariant for all tree plumbed 3-manifolds. Finally, we provide a formula of the $\hat{Z}_a(q,t)$ for the connected sum of plumbed 3-manifolds in terms of those for the components.
OpenFL: An open-source framework for Federated Learning
Creators: name: Reina, G Anthony
name: Gruzdev, Alexey
name: Foley, Patrick
name: Perepelkina, Olga
name: Sharma, Mansi
name: Davidyuk, Igor
name: Trushkin, Ilya
name: Radionov, Maksim
name: Mokrov, Aleksandr
name: Agapov, Dmitry
name: Martin, Jason
name: Edwards, Brandon
name: Sheller, Micah J.
name: Pati, Sarthak
name: Moorthy, Prakash Narayana
name: Wang, Shih-han
name: Shah, Prashant
name: Bakas, Spyridon
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: Federated learning (FL) is a computational paradigm that enables organizations to collaborate on machine learning (ML) projects without sharing sensitive data, such as, patient records, financial data, or classified secrets. Open Federated Learning (OpenFL https://github.com/intel/openfl) is an open-source framework for training ML algorithms using the data-private collaborative learning paradigm of FL. OpenFL works with training pipelines built with both TensorFlow and PyTorch, and can be easily extended to other ML and deep learning frameworks. Here, we summarize the motivation and development characteristics of OpenFL, with the intention of facilitating its application to existing ML model training in a production environment. Finally, we describe the first use of the OpenFL framework to train consensus ML models in a consortium of international healthcare organizations, as well as how it facilitates the first computational competition on FL.
Blackhole-Inspired Thermal Trapping with Graded Heat-Conduction Metadevices
Creators: name: Xu, Liujun
name: Liu, Jinrong
name: Jin, Peng
name: Xu, Guoqiang
name: Li, Jiaxin
name: Ouyang, Xiaoping
name: Li, Ying
name: Qiu, Cheng-Wei
name: Huang, Jiping
Publisher: name: arXiv
Year: 2022
Subjects: subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Black holes are one of the most intriguing predictions of general relativity. So far, metadevices have enabled analogous black holes to trap light or sound in laboratory spacetime. However, trapping heat in a conductive ambient is still challenging because diffusive behaviors are directionless. Inspired by black holes, we construct graded heat-conduction metadevices to achieve thermal trapping, resorting to the imitated advection produced by graded thermal conductivities rather than the trivial solution of using insulation materials to confine thermal diffusion. We experimentally demonstrate thermal trapping for guiding hot spots to diffuse towards the center. Graded heat-conduction metadevices have advantages in energy-efficient thermal regulation because the imitated advection has a similar temperature field effect to the realistic advection that is usually driven by external energy sources. These results also provide insights into correlating transformation thermotics with other disciplines such as cosmology for emerging heat control schemes.
МАРКАЗИЙ ОСИЁ ДАВЛАТЛАРИНИНГ ҚИМОР ВА ТАВАККАЛЧИЛИККА АСОСЛАНГАН ЎЙИНЛАРНИ НОҚОНУНИЙ ТАШКИЛ ЭТИШ ВА ЎТКАЗИШГА ҚАРШИ ЖИНОЯТ ҚОНУНЧИЛИГИ
Creators: name: Беристенов, Самат
Publisher: name: Zenodo
Year: 2024

description: Мақолада Марказий Осиё давлатларининг жиноят қонунчилигида қимор ва таваккалчиликка асосланган бошқа ўйинларни ташкил этиш ҳамда ўтказиш жиноятини содир этиш учун жиноий жавобгарлик масалалари кўриб чиқилади. Муаллиф қимор ва таваккалчиликка асосланган бошқа ўйинларни ташкил этиш ҳамда ўтказиш учун жавобгарликни белгилашда Тожикистон қонунчилиги жуда қаттъий деган хулосага келади, бунда бизнинг шароитда асосий урғуни жавобгарликка ортишга эмас, балки фуқаролар саломатлиги ва жамоат аҳлоқини сақлаш лозимлиги қайд этилади. Шу муносабат билан жиноят қонунчилигида фақатгина ноқонуний қиморхона ташкил этиш ва ўтказиш учун жавобгарлик бўйича махсус қоидаларни белгилаш билан чекланмасдан, ноқонуний тадбиркорлик тўғрисидаги умумий қоидаларни ҳам тақдим этган давлатлар қараши тўғрироқлиги ҳақида хулосалар берилади.
Modeling exclusive meson pair production at hadron colliders
Creators: name: Harland-Lang, L. A.
name: Khoze, V. A.
name: Ryskin, M. G.
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We present a study of the central exclusive production of light meson pairs, concentrating on the region of lower invariant masses of the central system and/or meson transverse momentum, where perturbative QCD cannot be reliably applied. We describe in detail a phenomenological model, using the tools of Regge theory, that may be applied with some success in this regime, and we present the new, publicly available, Dime Monte Carlo (MC) implementation of this for $ππ$, $KK$ and $ρρ$ production. The MC includes a fully differential treatment of the survival factor, which in general depends on all kinematic variables, as well as allowing for the so far reasonably unconstrained model parameters to be set by the user. We present predictions for the Tevatron and LHC and show how future measurements may further test this Regge--based approach, as well as the soft hadronic model required to calculate the survival factor, in particular in the presence of tagged protons.
description: 26 pages, 3 tables, 10 figures. Version accepted for publication in EPJC. Some discussion clarified, results section extended, KK plots updated. Footnote 5 added to describe small error in cross section normalization
Charge detection of a quantum dot under different tunneling barrier symmetries and bias voltages
Creators: name: Mu, Jingwei
name: Li, Weijie
name: Huang, Shaoyun
name: Pan, Dong
name: Chen, Yuanjie
name: Wang, Ji-Yin
name: Zhao, Jianhua
name: Xu, H. Q.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We report on the realization of a coupled quantum dot (QD) system containing two single QDs made in two adjacent InAs nanowires. One QD (sensor QD) is used as a charge sensor to detect the charge state transition in the other QD (target QD). We investigate the effect of the tunneling barrier asymmetry of the target QD on the detection visibility of charge state transition in the target QD. The charge stability diagrams of the target QD under different configurations of barrier-gate voltages are simultaneously measured via the direct signals of electron transport through the target QD and via the detection signals of charge state transition in the target QD from the sensor QD. We find that the complete Coulomb diamond boundaries of the target QD and the transport processes involving the excited states in the target QD can be observed in the transconductance signals of the sensor QD only when the tunneling barriers of the target QD are nearly symmetric. These phenomena are explained by analyzing the effect of the ratio of the two tunneling rates on the electron transport processes through the target QD. Our results imply that it is important to consider the symmetry of the tunneling couplings when constructing a charge sensor integrated QD device or qubit.
description: 18 pages, 5 figures
title: Μουσική Παιδαγωγική: Απόψεις, προσεγγίσεις, προοπτικές
title: Μουσική Παιδαγωγική: Απόψεις, προσεγγίσεις, προοπτικές
Creators: name: Dionyssiou, Zoe
Publisher: name: Kallipos, Open Academic Editions
Year: 2024
Subjects: μουσική παιδαγωγική
διδασκαλία της μουσικής
παιδαγωγικές τάσεις
μουσική εκπαίδευση
μουσική διδασκαλία και μάθηση
music pedagogy
music teaching
educational trends
music education
music teaching and learning

description: Το ψηφιακό σύγγραμμα με τίτλο «Σύγχρονες μουσικοπαιδαγωγικές τάσεις στη διδακτική της μουσικής» επιδιώκει να αναδείξει την παιδαγωγική διάσταση στην επιστήμη της μουσικής παιδαγωγικής. Επιχειρεί να ενημερώσει συστηματικά τον αναγνώστη για τις τρέχουσες τάσεις και εξελίξεις της παιδαγωγικής επιστήμης, να συνδέσει τις εξελίξεις της παιδαγωγικής με αυτές της μουσικής παιδαγωγικής, και να διευρύνει τη διδακτική μεθοδολογία της μουσικής με έννοιες, ιδέες και εφαρμογές με σεβασμό στο παιδαγωγικό πλαίσιο, στις ανάγκες των μαθητών και στη σύγχρονη παιδαγωγική πραγματικότητα.
description: Το ψηφιακό σύγγραμμα με τίτλο «Σύγχρονες μουσικοπαιδαγωγικές τάσεις στη διδακτική της μουσικής» επιδιώκει να αναδείξει την παιδαγωγική διάσταση στην επιστήμη της μουσικής παιδαγωγικής. Επιχειρεί να ενημερώσει συστηματικά τον αναγνώστη για τις τρέχουσες τάσεις και εξελίξεις της παιδαγωγικής επιστήμης, να συνδέσει τις εξελίξεις της παιδαγωγικής με αυτές της μουσικής παιδαγωγικής, και να διευρύνει τη διδακτική μεθοδολογία της μουσικής με έννοιες, ιδέες και εφαρμογές με σεβασμό στο παιδαγωγικό πλαίσιο, στις ανάγκες των μαθητών και στη σύγχρονη παιδαγωγική πραγματικότητα. Στόχος του βιβλίου είναι να βοηθήσει φοιτητές και εκπαιδευτικούς μουσικής να εμβαθύνουν στην παιδαγωγική διάσταση της επιστήμης της μουσικής παιδαγωγικής, να κατανοήσουν κάποια από τα προβλήματα που σχετίζονται με το παιδί και το σημερινό σχολείο, και να τους παρέχει το παιδαγωγικό υπόβαθρο για να δομήσουν τη δική τους μουσικοπαιδαγωγική ταυτότητα με σεβασμό στο παιδί και στο κοινωνικό πλαίσιο σήμερα. Το ψηφιακό αυτό σύγγραμμα αφορά τη διδασκαλία της μουσικής στο σχολείο και σε οποιοδήποτε θεσμοθετημένο πλαίσιο διδασκαλίας-μάθησης της μουσικής σε παιδαγωγικούς και καλλιτεχνικούς φορείς, χωρίς να αποκλείεται η χρήση του από οποιονδήποτε ασχολείται με τη μουσική και τις τέχνες σε σχέση με το παιδί. Βασίζεται σε βιβλιογραφική έρευνα σε θεωρίες και τάσεις που έχουν συμβάλει στην επιστήμη της μουσικής παιδαγωγικής με σύγχρονη ματιά. Επιλέχθηκαν εννέα τάσεις που θεωρούμε ότι έχουν καίρια σημασία για τη διδασκαλία και μάθηση της μουσικής σήμερα: η δημιουργικότητα, η διαθεματικότητα, η διαπολιτισμικότητα, η άτυπη μάθηση, η κριτική παιδαγωγική, η πολυτροπικότητα, η δημοκρατική τάξη, καθώς και δύο πιο καλλιτεχνικές τάσεις, η επικοινωνιακή μουσικότητα και η διακαλλιτεχνικότητα. Όλες οι παραπάνω τάσεις αναλύονται μέσα από το τετράπτυχο (τι είναι, πώς συμβάλλει στη μάθηση, βασικές αρχές, ιδέες και εφαρμογές για την τάξη) και παρουσιάζονται έτσι ώστε να βοηθήσουν τον εκπαιδευτικό μουσικής στην πράξη.
Evolution of a double-front Rayleigh-Taylor system using a GPU-based high resolution thermal Lattice-Boltzmann model
Creators: name: Ripesi, P.
name: Biferale, L.
name: Schifano, S. F.
name: Tripiccione, R.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: We study the turbulent evolution originated from a system subjected to a Rayleigh-Taylor instability with a double density at high resolution in a 2 dimensional geometry using a highly optimized thermal Lattice Boltzmann code for GPUs. The novelty of our investigation stems from the initial condition, given by the superposition of three layers with three different densities, leading to the development of two Rayleigh-Taylor fronts that expand upward and downward and collide in the middle of the cell. By using high resolution numerical data we highlight the effects induced by the collision of the two turbulent fronts in the long time asymptotic regime. We also provide details on the optimized Lattice-Boltzmann code that we have run on a cluster of GPUs
Research Problem dan Identifikasi Gap Penelitian
Creators: name: Gunawan, Fahmi
Publisher: name: Zenodo
Year: 2023
Subjects: Research Gap
Research Problem
Research Questions

description: Menemukan masalah penelitian merupakan kunci utama dalam melakukan penelitian. Menemukan masalah menjadi penting karena dengannya kita dapat menuliskan tujuan penelitian dan pertanyaan penelitian. Salah satu cara menemukan masalah penelitian adalah dengan menemukan kesenjangan penelitian [research gap].
Expansion of a quantum gas in a shell trap
Creators: name: Guo, Yanliang
name: Gutierrez, Emmanuel Mercado
name: Rey, David
name: Badr, Thomas
name: Perrin, Aurélien
name: Longchambon, Laurent
name: Bagnato, Vanderlei Salvador
name: Perrin, Hélène
name: Dubessy, Romain
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We report the observation of the controlled expansion of a two-dimensional quantum gas confined onto a curved shell-shaped surface. We start from the ellipsoidal geometry of a dressed quadrupole trap and introduce a novel gravity compensation mechanism enabling to explore the full ellipsoid. The zero-point energy of the transverse confinement manifests itself by the spontaneous emergence of an annular shape in the atomic distribution. The experimental results are compared with the solution of the three-dimensional Gross-Pitaevskii equation and with a two-dimensional semi-analytical model. This work evidences how a hidden dimension can affect dramatically the embedded low-dimensional system by inducing a change of topology.
description: New Journal of Physics, Institute of Physics: Open Access Journals, 2022
More on Ramond-Ramond, SYM, WZ couplings and their corrections in IIA
Creators: name: Hatefi, Ehsan
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We obtain the closed form of the correlation function of one current and four spin operators (with different chiralities ) in type IIA superstring theory. The complete form of the S-matrix of one gauge , two fermions (with different chiralities) and one closed string Ramond-Ramond for all order $α'$ type IIA has been explored. Moreover, we make use of a different gauge fixing to be able to find out all the closed forms of $$ correlators. An infinite number of $t,s-$channel fermion poles of this S-matrix in the field theory of IIA is generated. Unlike the the closed form of the correlators of the same amplitude of IIB, for various $p,n$ cases in type IIA we do have different double poles in $t,(t+s+u)$ and in $s,(t+s+u)$ channels and we produced them. We also find new Wess-Zumino couplings of IIA with their third order $α' $ corrections as well as a new form of higher derivative corrections (with different coefficient from its IIB one ) to SYM couplings at third order of $α' $. Using them, we are able to produce a $(t+s+u)$ channel scalar pole of the $$ amplitude for $p+2=n$ case. Finally we make some comments on $α'$ corrections to IIA Superstring theory.
description: 28 pages, no figure,Latex file and published version in EPJC
Impact of energy efficiency measures on the economic value of buildings
Creators: name: Popescu, Daniela
name: Bienert, Sven
name: Schützenhofer, Christian
name: Boazu, Rodica
Publisher: name: Universität Regensburg
Year: 2011
Subjects: subject: Energy Policy, Energy efficiency measures, Sustainable buildings, Energy costs, Financial analysis, Property value
subject: 330 Wirtschaft

description: A main objective of energy policies is to make all levels of the society, from governments to citizen, interested in increasing the energy efficiency of buildings. One of the most important barriers in implementation of energy policies is that the cost of potential energy savings, typically considered being the only financial benefit, does not sufficiently motivate investments. The target is therefore to identify further possible drivers pushing positive reaction according to energy saving action. The paper discusses whether a market-based instrument, capturing the increase of the economic value of energy efficient buildings, can be also used. Methods that quantify the added value due to energy performance, including recommendations on how they can be incorporated in the financial analysis of investments in weatherization, are developed. By applying the proposed methods, the payback period of investments in energy efficiency measures depends on two factors: potential energy savings and the added value to the property. Case studies on some existing condominiums from Romania are analyzed and provide evidence to the research question. The market sensitivity to energy efficiency measures, the possibility of an intangible added value as well as the impact to financial investment decisions is subsequently in the focus.
Bayesian Risk Markov Decision Processes
Creators: name: Lin, Yifan
name: Ren, Yuxuan
name: Zhou, Enlu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We consider finite-horizon Markov Decision Processes where parameters, such as transition probabilities, are unknown and estimated from data. The popular distributionally robust approach to addressing the parameter uncertainty can sometimes be overly conservative. In this paper, we propose a new formulation, Bayesian risk Markov Decision Process (BR-MDP), to address parameter uncertainty in MDPs, where a risk functional is applied in nested form to the expected total cost with respect to the Bayesian posterior distribution of the unknown parameters. The proposed formulation provides more flexible risk attitutes towards parameter uncertainty and takes into account the availability of data in future times stages. To solve the proposed formulation with the conditional value-at-risk (CVaR) risk functional, we propose an efficient approximation algorithm by deriving an analytical approximation of the value function and utilizing the convexity of CVaR. We demonstrate the empirical performance of the BR-MDP formulation and proposed algorithms on a gambler's betting problem and an inventory control problem.
Allocapnia frumi Kirchner 1982
Creators: name: Stark, Bill P.
name: Kondratieff, Boris C.
Publisher: name: Zenodo
Year: 2012
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Plecoptera
Capniidae
Allocapnia
Allocapnia frumi

description: Allocapnia frumi Kirchner (Figs. 13-18) Allocapnia frumi Kirchner 1982:786. Holotype ♂ (United States National Museum of Natural History), Coats Run of North Fork Cherry River, Greenbrier Co., West Virginia Material examined. West Virginia: Pocahontas Co., Sugar Creek at Williams River, 28 March 1982, R. F. Kirchner, V. J. Marchese, 2♂ (CSUC). Male epiproct. Apical segment of upper limb ca. 287 μm long, bearing a pair of dorsolateral ear- like projections and a dense median patch of wave-like spikes (Figs. 13-16). Median spike patch ca. 230 μm long and divided along entire length by narrow groove, spikes absent on ear-like projections and basal dorsolateral bulges (Fig. 14). Apical segment ca. 147 μm wide across ear- like projections, and narrowed to ca. 29 μm at apex (Fig. 14). Basal segment of upper limb ca. 280 μm long and ca. 100 μm wide for most of length; setation and dorsal longitudinal groove absent from basal segment. Lower limb ca. 200 μm wide proximal to apical spoon. Male tergal process. Prominent raised structures on abdominal terga 7 and 8 (Figs. 15, 17-18). Process of tergum 7 thin in lateral aspect, forming a triangular projection in anterodorsal aspect, covered over much of surface with scale-like structures (Figs. 17-18). Process of tergum 8 thin in lateral aspect (Fig. 15) and tapered to a slightly concave dorsal surface in anterodorsal aspect; dorsum of process covered with a narrow strip of scale-like structures; width of process ca. 176 μm.
description: Published as part of Stark, Bill P. & Kondratieff, Boris C., 2012, Epiproct And Dorsal Process Structure In The Allocapnia Forbesi Frison, A. Pygmaea (Burmeister), And A. Rickeri Frison Species Groups (Plecoptera: Capniidae), And Inclusion Of A. Minima (Newport) In A New Species Group, pp. 45-77 in Illiesia 8 (5) on page 50, DOI: 10.5281/zenodo.4760725
description: {"references": ["Kirchner, R. F. 1982. A new Allocapnia from West Virginia (Plecoptera: Capniidae). Proceedings of the Entomological Society of Washington, 84: 786 - 790."]}
A circular dielectric grating for vertical extraction of single quantum dot emission
Creators: name: Davanço, M.
name: Rakher, M. T.
name: Schuh, Dieter
name: Badolato, A.
name: Srinivasan, K.
Publisher: name: Universität Regensburg
Year: 2011
Subjects: subject: excitons; gallium arsenide; III-V semiconductors; indium compounds; nanostructured materials; photoluminescence; semiconductor quantum dots;
subject: 530 Physik
subject: 78.67.Hc
subject: 81.07.Ta
subject: 71.35.-y
subject: 78.55.Cr
subject: 81.05.Ea

description: We demonstrate a nanostructure composed of partially etched annular trenches in a suspended GaAs membrane, designed for efficient and moderately broadband (≈5 nm) emission extraction from single InAs quantum dots. Simulations indicate that a dipole embedded in the nanostructure center radiates upward into free space with a nearly Gaussian far field, allowing a collection efficiency >80% with a high numerical aperture (NA = 0.7) optic and with ≈12× Purcell radiative rate enhancement. Fabricated devices exhibit a ≈10% photon collection efficiency with a NA = 0.42 objective, a 20× improvement over quantum dots in unpatterned GaAs. A fourfold exciton lifetime reduction indicates moderate Purcell enhancement.
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays
Creators: name: Kamal, Uday
name: Zunaed, Mohammad
name: Nizam, Nusrat Binta
name: Hasan, Taufiq
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: Thoracic disease detection from chest radiographs using deep learning methods has been an active area of research in the last decade. Most previous methods attempt to focus on the diseased organs of the image by identifying spatial regions responsible for significant contributions to the model's prediction. In contrast, expert radiologists first locate the prominent anatomical structures before determining if those regions are anomalous. Therefore, integrating anatomical knowledge within deep learning models could bring substantial improvement in automatic disease classification. Motivated by this, we propose Anatomy-XNet, an anatomy-aware attention-based thoracic disease classification network that prioritizes the spatial features guided by the pre-identified anatomy regions. We adopt a semi-supervised learning method by utilizing available small-scale organ-level annotations to locate the anatomy regions in large-scale datasets where the organ-level annotations are absent. The proposed Anatomy-XNet uses the pre-trained DenseNet-121 as the backbone network with two corresponding structured modules, the Anatomy Aware Attention (A$^3$) and Probabilistic Weighted Average Pooling (PWAP), in a cohesive framework for anatomical attention learning. We experimentally show that our proposed method sets a new state-of-the-art benchmark by achieving an AUC score of 85.78%, 92.07%, and, 84.04% on three publicly available large-scale CXR datasets--NIH, Stanford CheXpert, and MIMIC-CXR, respectively. This not only proves the efficacy of utilizing the anatomy segmentation knowledge to improve the thoracic disease classification but also demonstrates the generalizability of the proposed framework.
description: Accepted to IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS