cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Quantum quenches in a pseudo-Hermitian Chern insulator
Creators: name: He, Peng
name: Zhu, Yan-Qing
name: Wang, Jian-Te
name: Zhu, Shi-Liang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Gases (cond-mat.quant-gas)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We propose to uncover the topology of a pseudo-Hermitian Chern insulator by quantum quench dynamics. The Bloch Hamiltonian of the pseudo-Hermitian Chern insulator is defined in the basis of the q-deformed Pauli matrices, which are related to the representation of the deformed algebras. We show the bulk-surface duality of the pseudo-Hermitian phases, then further build a concrete relation between the static band topology and quench dynamics, in terms of the time-averaged spin textures. The results are also generalized into a fully nonequilibrium case where the postquench evolution is governed by a Floquet pseudo-Hermitian Hamiltonian. Furthermore, we propose a possible scheme to realize the seemingly challenging model in a bilayer lattice and detect the dynamics with a double-quench protocol.
description: 10 pages, 6 figures
เรียนบัญชีด้วยเกมแสนสนุก
Creators: name: เกศรา สุพยนต์
Publisher: name: ศูนย์สนับสนุนและพัฒนาการเรียนการสอน มหาวิทยาลัยรังสิต
Year: 2011
Subjects: -

description: วารสารพัฒนาการเรียนการสอน, 5, 2, 108-121
Dual diffeomorphisms and finite distance asymptotic symmetries in 3d gravity
Creators: name: Geiller, Marc
name: Goeller, Christophe
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We study the finite distance boundary symmetry current algebra of the most general first order theory of 3d gravity. We show that the space of quadratic generators contains diffeomorphisms but also a notion of dual diffeomorphisms, which together form either a double Witt or centreless BMS$_3$ algebra. The relationship with the usual asymptotic symmetry algebra relies on a duality between the null and angular directions, which is possible thanks to the existence of the dual diffeomorphisms.
description: 5 pages
Construction by bosonization of a fermion-phonon model
Creators: name: Langmann, Edwin
name: Moosavi, Per
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We discuss an extension of the (massless) Thirring model describing interacting fermions in one dimension which are coupled to phonons and where all interactions are local. This fermion-phonon model can be solved exactly by bosonization. We present a construction and solution of this model which is mathematically rigorous by treating it as a limit of a Luttinger-phonon model. A self-contained account of the mathematical results underlying bosonization is included, together with complete proofs.
description: 59 pages, LaTeX, 1 figure; minor updates to original submission, final published version; minor fix to agree with published version
A diffuse-interface approach for solid-state dewetting with anisotropic surface energies
Creators: name: Garcke, Harald
name: Knopf, Patrik
name: Nürnberg, Robert
name: Zhao, Quan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Analysis of PDEs (math.AP)
subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: We present a diffuse-interface model for the solid-state dewetting problem with anisotropic surface energies in ${\mathbb R}^d$ for $d\in\{2,3\}$. The introduced model consists of the anisotropic Cahn--Hilliard equation, with either a smooth or a double-obstacle potential, together with a degenerate mobility function and appropriate boundary conditions on the wall. Upon regularizing the introduced diffuse-interface model, and with the help of suitable asymptotic expansions, we recover as the sharp-interface limit the anisotropic surface diffusion flow for the interface together with an anisotropic Young's law and a zero-flux condition at the contact line of the interface with a fixed external boundary. Furthermore, we show the existence of weak solutions for the regularized model, for both smooth and obstacle potential. Numerical results based on an appropriate finite element approximation are presented to demonstrate the excellent agreement between the proposed diffuse-interface model and its sharp-interface limit.
description: 48 pages, 12 figures
Additional file 11 of De novo transcriptome assembly from the gonads of a scleractinian coral, Euphyllia ancora: molecular mechanisms underlying scleractinian gametogenesis
Creators: name: Chiu, Yi-Ling
name: Shikina, Shinya
name: Yoshioka, Yuki
name: Chuya Shinzato
name: Ching-Fong Chang
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 11. GO functional analysis of upregulated genes in mature testes. Significantly (> 4-fold change, P
Learning from Survey Propagation: a Neural Network for MAX-E-$3$-SAT
Creators: name: Marino, Raffaele
Publisher: name: arXiv
Year: 2020
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Many natural optimization problems are NP-hard, which implies that they are probably hard to solve exactly in the worst-case. However, it suffices to get reasonably good solutions for all (or even most) instances in practice. This paper presents a new algorithm for computing approximate solutions in ${Θ(N})$ for the Maximum Exact 3-Satisfiability (MAX-E-$3$-SAT) problem by using deep learning methodology. This methodology allows us to create a learning algorithm able to fix Boolean variables by using local information obtained by the Survey Propagation algorithm. By performing an accurate analysis, on random CNF instances of the MAX-E-$3$-SAT with several Boolean variables, we show that this new algorithm, avoiding any decimation strategy, can build assignments better than a random one, even if the convergence of the messages is not found. Although this algorithm is not competitive with state-of-the-art Maximum Satisfiability (MAX-SAT) solvers, it can solve substantially larger and more complicated problems than it ever saw during training.
Additional file 12 of De novo transcriptome assembly from the gonads of a scleractinian coral, Euphyllia ancora: molecular mechanisms underlying scleractinian gametogenesis
Creators: name: Chiu, Yi-Ling
name: Shikina, Shinya
name: Yoshioka, Yuki
name: Chuya Shinzato
name: Ching-Fong Chang
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 12. Schematic figures depicting domain structures of neurogenic locus notch homolog protein. (a) Neurogenic locus notch homolog proteins 1. (b) Neurogenic locus notch homolog proteins 2. (c) Neurogenic locus notch homolog proteins 3.
Improving Visual-Semantic Embeddings by Learning Semantically-Enhanced Hard Negatives for Cross-modal Information Retrieval
Creators: name: Gong, Yan
name: Cosma, Georgina
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Visual Semantic Embedding (VSE) aims to extract the semantics of images and their descriptions, and embed them into the same latent space for cross-modal information retrieval. Most existing VSE networks are trained by adopting a hard negatives loss function which learns an objective margin between the similarity of relevant and irrelevant image-description embedding pairs. However, the objective margin in the hard negatives loss function is set as a fixed hyperparameter that ignores the semantic differences of the irrelevant image-description pairs. To address the challenge of measuring the optimal similarities between image-description pairs before obtaining the trained VSE networks, this paper presents a novel approach that comprises two main parts: (1) finds the underlying semantics of image descriptions; and (2) proposes a novel semantically enhanced hard negatives loss function, where the learning objective is dynamically determined based on the optimal similarity scores between irrelevant image-description pairs. Extensive experiments were carried out by integrating the proposed methods into five state-of-the-art VSE networks that were applied to three benchmark datasets for cross-modal information retrieval tasks. The results revealed that the proposed methods achieved the best performance and can also be adopted by existing and future VSE networks.
Private Randomness Agreement and its Application in Quantum Key Distribution Networks
Creators: name: Christensen, René Bødker
name: Popovski, Petar
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences
subject: 94A60, 94A64, 81P94

description: We define a variation on the well-known problem of private message transmission. This new problem called private randomness agreement (PRA) gives two participants access to a public, authenticated channel alongside the main channels, and the 'message' is not fixed a priori. Instead, the participants aim to agree on a random string completely unknown to a computationally unbounded adversary. We define privacy and reliability, and show that PRA cannot be solved in a single round. We then show that it can be solved in three rounds, albeit with exponential cost, and give an efficient four-round protocol based on polynomial evaluation.
description: 6 pages
Quantum direct communication protocol using recurrence in k-cycle quantum walk
Creators: name: Panda, Sanjeet Swaroop
name: Yasir, P. A. Ameen
name: Chandrashekar, C. M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: The ability of quantum walks to evolve in a superposition of distinct quantum states has been used as a resource in quantum communication protocols. Under certain settings, the $k$-cycle discrete-time quantum walks\,(DTQW) are known to recur to its initial state after every $t_r$ steps. We first present a scheme to optically realize any $k$-cycle DTQW using $J$-plate, orbital angular momentum\,(OAM) sorters, optical switch, and optical delay line. This entangles the polarization and OAM degrees of freedom\,(DoF) of a single photon. Making use of this recurrence phenomena of $k$-cycle DTQW and the entanglement generated during the evolution, we present a new quantum direct communication protocol. The recurrence and entanglement in $k$-cycle walk are effectively used to retrieve and secure the information, respectively, in the proposed protocol. We investigate the security of the protocol against intercept and resend attack. We also quantify the effect of amplitude damping and depolarizing noises on recurrence and mutual information between polarization and OAM DoF of a single photon.
description: 9 pages, 6 figures
Additional file 10 of De novo transcriptome assembly from the gonads of a scleractinian coral, Euphyllia ancora: molecular mechanisms underlying scleractinian gametogenesis
Creators: name: Chiu, Yi-Ling
name: Shikina, Shinya
name: Yoshioka, Yuki
name: Chuya Shinzato
name: Ching-Fong Chang
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 10 GO functional analysis of upregulated genes in premature/mature ovaries. Significantly (> 4-fold change, P
Coupling two charge qubits via a superconducting resonator operating in the resonant and dispersive regimes
Creators: name: Zhang, Chengxian
name: Chan, Guo Xuan
name: Wang, Xin
name: Xue, Zheng-Yuan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: A key challenge for semiconductor quantum-dot charge qubits is the realization of long-range qubit coupling and performing high-fidelity gates based on it. Here, we describe a new type of charge qubit formed by an electron confined in a triple-quantum-dot system, enabling single and two-qubit gates working in the dipolar and quadrupolar detuning sweet spots. We further present the form for the long-range dipolar coupling between the charge qubit and the superconducting resonator. Based on the hybrid system composed of the qubits and the resonator, we present two types of entangling gates: the dynamical iSWAP gate and holonomic entangling gate, which are operating in the dispersive and resonant regimes, respectively. We find that the fidelity for the iSWAP gate can reach fidelity higher than 99\% for the noise level typical in experiments. Meanwhile, the fidelity for the holonomic gate can surpass 98\% if the anharmonicity in the resonator is large enough. Our proposal offers an alternative useful way to build up high-fidelity quantum computation for charge qubits in semiconductor quantum dot.
description: 9 pages, 5 figures
Testing quantum computers with the protocol of quantum state matching
Creators: name: Ortega, Adrian
name: Kálmán, Orsolya
name: Kiss, Tamás
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The presence of noise in quantum computers hinders their effective operation. Even though quantum error correction can theoretically remedy this problem, its practical realization is still a challenge. Testing and benchmarking noisy, intermediate-scale quantum (NISC) computers is therefore of high importance. Here, we suggest the application of the so-called quantum state matching protocol for testing purposes. This protocol was originally proposed to determine if an unknown quantum state falls in a prescribed neighborhood of a reference state. We decompose the unitary specific to the protocol and construct the quantum circuit implementing one step of the dynamics for different characteristic parameters of the scheme and present test results for two different IBM quantum computers. By comparing the experimentally obtained relative frequencies of success to the ideal success probability with a maximum statistical tolerance, we discriminate statistical errors from device specific ones. For the characterization of noise, we also use the fact that while the output of the ideal protocol is insensitive to the internal phase of the input state, the actual implementation may lead to deviations. For systematically varied inputs we find that the device with the smaller quantum volume performs better on our tests than the one with larger quantum volume, while for random inputs they show a more similar performance.
Interpolating Boundary Conditions on $AdS_2$
Creators: name: Garay, Anthonny F. Canazas
name: Correa, Diego H.
name: Faraggi, Alberto
name: Silva, Guillermo A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We consider two instances of boundary conditions for massless scalars on $AdS_2$ that interpolate between the Dirichlet and Neumann cases while preserving scale invariance. Assessing invariance under the full $SL(2;\mathds{R})$ conformal group is not immediate given their non-local nature. To further clarify this issue, we compute holographically 2- and 4-point correlation functions using the aforementioned boundary conditions and study their transformation properties. Concretely, motivated by the dual description of some multi-parametric families of Wilson loops in ABJM theory, we look at the excitations of an open string around an $AdS_2\subset AdS_4\times\mathbb{CP}^3$ worldsheet, thus obtaining correlators of operators inserted along a $1$-dimensional defect in ${\cal N}=6$ super Chern-Simons-matter theory at strong coupling. Of the two types of boundary conditions analyzed, only one leads to the expected functional structure for conformal primaries; the other exhibits covariance under translations and rescalings but not under special conformal transformations.
Additional file 1 of De novo transcriptome assembly from the gonads of a scleractinian coral, Euphyllia ancora: molecular mechanisms underlying scleractinian gametogenesis
Creators: name: Chiu, Yi-Ling
name: Shikina, Shinya
name: Yoshioka, Yuki
name: Chuya Shinzato
name: Ching-Fong Chang
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1 Microscopic observation of ovaries and testes isolated in April and June 2017, respectively. (a) External appearances of oocytes having germinal vesicles in isolated ovaries collected in April 2017. (b) The external appearance of oocytes without germinal vesicles collected at the same times as the samples shown in (a). Only one oocyte has a germinal vesicle (arrow). (c) Cytological appearance of an isolated testis collected in June 2017. Morphologically mature sperm with triangular head shapes were observed (arrows).
Two Year Cosmology Large Angular Scale Surveyor (CLASS) Observations: Long Timescale Stability Achieved with a Front-End Variable-delay Polarization Modulator at 40 GHz
Creators: name: Harrington, Kathleen
name: Datta, Rahul
name: Osumi, Keisuke
name: Ali, Aamir
name: Appel, John W.
name: Bennett, Charles L.
name: Brewer, Michael K.
name: Bustos, Ricardo
name: Chan, Manwei
name: Chuss, David T.
name: Cleary, Joseph
name: Couto, Jullianna Denes
name: Dahal, Sumit
name: Dünner, Rolando
name: Eimer, Joseph R.
name: Essinger-Hileman, Thomas
name: Hubmayr, Johannes
name: Inostroza, Francisco Raul Espinoza
name: Iuliano, Jeffrey
name: Karakla, John
name: Li, Yunyang
name: Marriage, Tobias A.
name: Miller, Nathan J.
name: Núñez, Carolina
name: Padilla, Ivan L.
name: Parker, Lucas
name: Petroff, Matthew A.
name: Márquez, Bastian Pradenas
name: Reeves, Rodrigo
name: Rojas, Pedro Fluxá
name: Rostem, Karwan
name: Valle, Deniz Augusto Nunes
name: Watts, Duncan J.
name: Weiland, Janet L.
name: Wollack, Edward J.
name: Xu, Zhilei
Publisher: name: arXiv
Year: 2021
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The Cosmology Large Angular Scale Surveyor (CLASS) is a four-telescope array observing the largest angular scales ($2 \lesssim \ell \lesssim 200$) of the cosmic microwave background (CMB) polarization. These scales encode information about reionization and inflation during the early universe. The instrument stability necessary to observe these angular scales from the ground is achieved through the use of a variable-delay polarization modulator (VPM) as the first optical element in each of the CLASS telescopes. Here we develop a demodulation scheme used to extract the polarization timestreams from the CLASS data and apply this method to selected data from the first two years of observations by the 40 GHz CLASS telescope. These timestreams are used to measure the $1/f$ noise and temperature-to-polarization ($T\rightarrow P$) leakage present in the CLASS data. We find a median knee frequency for the pair-differenced demodulated linear polarization of 15.12 mHz and a $T\rightarrow P$ leakage of $<3.8\times10^{-4}$ (95\% confidence) across the focal plane. We examine the sources of $1/f$ noise present in the data and find the component of $1/f$ due to atmospheric precipitable water vapor (PWV) has an amplitude of $203 \pm 12 \mathrm{μK_{RJ}\sqrt{s}}$ for 1 mm of PWV when evaluated at 10 mHz; accounting for $\sim32\%$ of the $1/f$ noise in the central pixels of the focal plane. The low level of $T\rightarrow P$ leakage and $1/f$ noise achieved through the use of a front-end polarization modulator enables the observation of the largest scales of the CMB polarization from the ground by the CLASS telescopes.
description: Submitted to ApJ
Additional file 9 of De novo transcriptome assembly from the gonads of a scleractinian coral, Euphyllia ancora: molecular mechanisms underlying scleractinian gametogenesis
Creators: name: Chiu, Yi-Ling
name: Shikina, Shinya
name: Yoshioka, Yuki
name: Chuya Shinzato
name: Ching-Fong Chang
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 9 Hierarchical Clustering analysis of E. ancora gonadal samples used in this study. Twelve testis samples (3 colonies, 4 time points) and 12 ovary samples (3 colonies, 4 time points) were subjected to analysis. The cluster dendrogram showed that 2 samples (Oct-female-1 and Feb-male-1) are outliers, while others belong to a similar group. The 2 outliers were removed and the 22 remaining samples were used for gene expression analysis.
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors
Creators: name: Büchel, Julian
name: Zendrikov, Dmitrii
name: Solinas, Sergio
name: Indiveri, Giacomo
name: Muir, Dylan R.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Mixed-signal analog/digital circuits emulate spiking neurons and synapses with extremely high energy efficiency, an approach known as "neuromorphic engineering". However, analog circuits are sensitive to process-induced variation among transistors in a chip ("device mismatch"). For neuromorphic implementation of Spiking Neural Networks (SNNs), mismatch causes parameter variation between identically-configured neurons and synapses. Each chip exhibits a different distribution of neural parameters, causing deployed networks to respond differently between chips. Current solutions to mitigate mismatch based on per-chip calibration or on-chip learning entail increased design complexity, area and cost, making deployment of neuromorphic devices expensive and difficult. Here we present a supervised learning approach that produces SNNs with high robustness to mismatch and other common sources of noise. Our method trains SNNs to perform temporal classification tasks by mimicking a pre-trained dynamical system, using a local learning rule from non-linear control theory. We demonstrate our method on two tasks requiring memory, and measure the robustness of our approach to several forms of noise and mismatch. We show that our approach is more robust than common alternatives for training SNNs. Our method provides robust deployment of pre-trained networks on mixed-signal neuromorphic hardware, without requiring per-device training or calibration.
From bilinear regression to inductive matrix completion: a quasi-Bayesian analysis
Creators: name: Mai, The Tien
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: In this paper we study the problem of bilinear regression and we further address the case when the response matrix contains missing data that referred as the problem of inductive matrix completion. We propose a quasi-Bayesian approach first to the problem of bilinear regression where a quasi-likelihood is employed. Then, we adapt this approach to the context of inductive matrix completion. Under a low-rankness assumption and leveraging PAC-Bayes bound technique, we provide statistical properties for our proposed estimators and for the quasi-posteriors. We propose a Langevin Monte Carlo method to approximately compute the proposed estimators. Some numerical studies are conducted to demonstrated our methods.
description: arXiv admin note: substantial text overlap with arXiv:2206.08619
Accretion Phase of Star Formation in Clouds with Different Metallicities
Creators: name: Machida, Masahiro N.
name: Nakamura, Teppei
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The main accretion phase of star formation is investigated in clouds with different metallicities in the range of 0 \le Z \le Z_\odot, resolving the protostellar radius. Starting from a near-equilibrium prestellar cloud, we calculate the cloud evolution up to \sim100 yr after the first protostar formation. The star formation process considerably differs between clouds with lower (Z \le 10^-4 Z_\odot) and higher (Z > 10^-4 Z_\odot) metallicities. Fragmentation frequently occurs and many protostars appear without forming a stable circumstellar disc in lower-metallicity clouds. In these clouds, although protostars mutually interact and some are ejected from the cloud centre, many remain as a small stellar cluster. In contrast, higher-metallicity clouds produce a single protostar surrounded by a nearly stable rotation-supported disc. In these clouds, although fragmentation occasionally occurs in the disc, the fragments migrate inwards and finally fall onto the central protostar. The difference in cloud evolution is due to different thermal evolutions and mass accretion rates. The thermal evolution of the cloud determines the emergence and lifetime of the first core. The first core develops prior to the protostar formation in higher-metallicity clouds, whereas no (obvious) first core appears in lower-metallicity clouds. The first core evolves into a circumstellar disc with a spiral pattern, which effectively transfers the angular momentum outwards and suppresses frequent fragmentation. In lower-metallicity clouds, the higher mass accretion rate increases the disc surface density within a very short time, rendering the disc unstable to self-gravity and inducing vigorous fragmentation.
description: Accepted for publication in MNRAS
Density-matrix based determination of low-energy model Hamiltonians from ab initio wavefunctions
Creators: name: Changlani, Hitesh J.
name: Zheng, Huihuo
name: Wagner, Lucas K.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We propose a way of obtaining effective low energy Hubbard-like model Hamiltonians from ab initio Quantum Monte Carlo calculations for molecular and extended systems. The Hamiltonian parameters are fit to best match the ab initio two-body density matrices and energies of the ground and excited states, and thus we refer to the method as ab initio density matrix based downfolding (AIDMD). For benzene (a finite system), we find good agreement with experimentally available energy gaps without using any experimental inputs. For graphene, a two dimensional solid (extended system) with periodic boundary conditions, we find the effective on-site Hubbard $U^{*}/t$ to be $1.3 \pm 0.2$, comparable to a recent estimate based on the constrained random phase approximation. For molecules, such parameterizations enable calculation of excited states that are usually not accessible within ground state approaches. For solids, the effective Hamiltonian enables large scale calculations using techniques designed for lattice models.
description: 16 pages, 11 figures, 2 tables. Typos corrected, captions improved, added explanations in places and new section on generating states. Version closely matches published one
Additional file 6 of De novo transcriptome assembly from the gonads of a scleractinian coral, Euphyllia ancora: molecular mechanisms underlying scleractinian gametogenesis
Creators: name: Chiu, Yi-Ling
name: Shikina, Shinya
name: Yoshioka, Yuki
name: Chuya Shinzato
name: Ching-Fong Chang
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 6 (Table) Reference databases used for identifying E. ancora-originated contigs from the E. ancora holobiont transcriptome assembly
How transferable are features in deep neural networks?
Creators: name: Yosinski, Jason
name: Clune, Jeff
name: Bengio, Yoshua
name: Lipson, Hod
Publisher: name: arXiv
Year: 2014
Subjects: subject: Machine Learning (cs.LG)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Many deep neural networks trained on natural images exhibit a curious phenomenon in common: on the first layer they learn features similar to Gabor filters and color blobs. Such first-layer features appear not to be specific to a particular dataset or task, but general in that they are applicable to many datasets and tasks. Features must eventually transition from general to specific by the last layer of the network, but this transition has not been studied extensively. In this paper we experimentally quantify the generality versus specificity of neurons in each layer of a deep convolutional neural network and report a few surprising results. Transferability is negatively affected by two distinct issues: (1) the specialization of higher layer neurons to their original task at the expense of performance on the target task, which was expected, and (2) optimization difficulties related to splitting networks between co-adapted neurons, which was not expected. In an example network trained on ImageNet, we demonstrate that either of these two issues may dominate, depending on whether features are transferred from the bottom, middle, or top of the network. We also document that the transferability of features decreases as the distance between the base task and target task increases, but that transferring features even from distant tasks can be better than using random features. A final surprising result is that initializing a network with transferred features from almost any number of layers can produce a boost to generalization that lingers even after fine-tuning to the target dataset.
description: To appear in Advances in Neural Information Processing Systems 27 (NIPS 2014)
Faking photon number on a transition-edge sensor
Creators: name: Chaiwongkhot, Poompong
name: Zhong, Jiaqiang
name: Huang, Anqi
name: Qin, Hao
name: Shi, Sheng-cai
name: Makarov, Vadim
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study potential security vulnerabilities of a single-photon detector based on superconducting transition-edge sensor. In a simple experiment, we show that an adversary could fake a photon number result at a certain wavelength by sending a larger number of photons at a longer wavelength. In another experiment, we show that the detector can be blinded by bright continuous-wave light and then, a controlled response simulating single-photon detection can be produced by applying a bright light pulse. We model an intercept-and-resend attack on a quantum key distribution system that exploits the latter vulnerability and, under certain assumptions, succeeds to steal the key.
description: Replacing incorrectly uploaded previous versions. 6 page, 5 figures
Additional file 8 of De novo transcriptome assembly from the gonads of a scleractinian coral, Euphyllia ancora: molecular mechanisms underlying scleractinian gametogenesis
Creators: name: Chiu, Yi-Ling
name: Shikina, Shinya
name: Yoshioka, Yuki
name: Chuya Shinzato
name: Ching-Fong Chang
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 8 (Table) Evolutionarily conserved genes in metazoan reproduction identified in the E. ancora gonadal transcriptome assembly
Breaking of universal nature of central charge criticality in $AdS$ black holes in Gauss-Bonnet Gravity
Creators: name: Kumar, Neeraj
name: Sen, Soham
name: Gangopadhyay, Sunandan
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In this paper, we have studied the thermodynamics of Gauss-Bonnet black holes in D-dimensional $AdS$ spacetime. Here, the cosmological constant ($Λ$), Newton's gravitational constant ($G$) and the Gauss-Bonnet parameter ($α$) are varied in the bulk, and a mixed first law is rewritten considering central charge ($C$) (of dual boundary conformal theory) and its conjugate variable utilising the gauge-gravity duality. A novel universal nature of central charge near the critical point of black hole phase transition in Einstein's gravity has been observed in \cite{mann1}. We observe that this universal nature breaks when such phase transition is considered for black holes in the Gauss-Bonnet gravity. Apart from this, treating the Gauss-Bonnet parameter as a thermodynamic variable as suggested in \cite{kastori} in light of the consistency between first law and the Smarr relation leads to modified thermodynamic volume (conjugate to variable cosmological constant), adding to a new understanding of the Van der Waals gas like behaviour of the black holes in higher dimensional and higher curvature gravity theories. Our analysis considers a general $D$ dimensional background. We have then imposed a greater focus in the analysis of the phase structure of the five dimensional Gauss-Bonnet spacetime. Our analysis also shows that the general universal nature of the critical value of the central charge (which was present in four dimensional $AdS$ spacetime), breaks down in case of five dimensional $AdS$ spacetime even in the absence of Gauss-Bonnet gravity. This finding indicates the universal nature of the central charge may be a special feature of the four dimensional $AdS$ spacetime only.
description: This manuscript is accepted for publication in Physical Review D
Social Network Analysis: From Graph Theory to Applications with Python
Creators: name: Goldenberg, Dmitri
Publisher: name: arXiv
Year: 2021
Subjects: subject: Social and Information Networks (cs.SI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Social network analysis is the process of investigating social structures through the use of networks and graph theory. It combines a variety of techniques for analyzing the structure of social networks as well as theories that aim at explaining the underlying dynamics and patterns observed in these structures. It is an inherently interdisciplinary field which originally emerged from the fields of social psychology, statistics and graph theory. This talk will covers the theory of social network analysis, with a short introduction to graph theory and information spread. Then we will deep dive into Python code with NetworkX to get a better understanding of the network components, followed-up by constructing and implying social networks from real Pandas and textual datasets. Finally we will go over code examples of practical use-cases such as visualization with matplotlib, social-centrality analysis and influence maximization for information spread.
description: Presented at PyCon'19 - Israeli Python Conference 2019
Long Pulse EBW Start-up Experiments in MAST
Creators: name: Shevchenko, V. F.
name: Bigelow, T.
name: Caughman, J. B.
name: Diem, S.
name: Mailloux, J.
name: Brien, M. R. O
name: Peng, M.
name: Saveliev, A. N.
name: Takase, Y.
name: Tanaka, H.
name: Taylor, G.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: The non-solenoid start-up technique reported here relies on a double mode conversion for electron Bernstein wave (EBW) excitation. It consists of the mode conversion of the ordinary mode, entering the plasma from the low field side of the tokamak, into the extraordinary (X) mode at a mirror-polarizer located at the high field side. The X mode propagates back to the plasma, passes through electron cyclotron resonance and experiences a subsequent X to EBW mode conversion near the upper hybrid resonance. Finally the excited EBW mode is totally absorbed at the Doppler shifted electron cyclotron resonance. The absorption of EBW remains high even in cold rarefied plasmas. Furthermore, EBW can generate significant plasma current giving the prospect of a fully solenoid-free plasma start-up. First experiments using this scheme were carried out on MAST [V. Shevchenko et al, Nuclear Fusion 50, 022004 (2010)]. Plasma currents up to 33 kA have been achieved using 28 GHz 100kW 90ms RF pulses. Recently experimental results were extended to longer RF pulses showing further increase of plasma currents generated by RF power alone. A record current of 73kA has been achieved with 450ms RF pulse of similar power. The current drive enhancement was mainly achieved due to RF pulse extension and further optimisation of the start-up scenario.
description: 22 pages, 11 figures
Additional file 7 of De novo transcriptome assembly from the gonads of a scleractinian coral, Euphyllia ancora: molecular mechanisms underlying scleractinian gametogenesis
Creators: name: Chiu, Yi-Ling
name: Shikina, Shinya
name: Yoshioka, Yuki
name: Chuya Shinzato
name: Ching-Fong Chang
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 7 (Table) Reproduction-related genes of E. ancora identified in our previous studies
Expectation-Maximization Binary Clustering for Behavioural Annotation
Creators: name: Garriga, Joan
name: Palmer, John R.
name: Oltra, Aitana
name: Bartumeus, Frederic
Publisher: name: arXiv
Year: 2015
Subjects: subject: Quantitative Methods (q-bio.QM)
subject: FOS: Biological sciences

description: We present a variant of the well sounded Expectation-Maximization Clustering algorithm that is constrained to generate partitions of the input space into high and low values. The motivation of splitting input variables into high and low values is to favour the semantic interpretation of the final clustering. The Expectation-Maximization binary Clustering is specially useful when a bimodal conditional distribution of the variables is expected or at least when a binary discretization of the input space is deemed meaningful. Furthermore, the algorithm deals with the reliability of the input data such that the larger their uncertainty the less their role in the final clustering. We show here its suitability for behavioural annotation of movement trajectories. However, it can be considered as a general purpose algorithm for the clustering or segmentation of multivariate data or temporal series.
description: 34 pages main text including 11 (full page) figures
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers
Creators: name: Jiang, Julie
name: Dotsch, Ron
name: Roura, Mireia Triguero
name: Liu, Yozen
name: Silva, Vítor
name: Bos, Maarten W.
name: Barbieri, Francesco
Publisher: name: arXiv
Year: 2022
Subjects: subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: Pictorial emojis and stickers are commonly used in online social networking to facilitate and aid communications. We delve into the use of Bitmoji stickers, a highly expressive form of pictorial communication using avatars resembling actual users. We collect a large-scale dataset of the metadata of 3 billion Bitmoji stickers shared among 300 million Snapchat users. We find that individual Bitmoji sticker usage patterns can be characterized jointly on dimensions of reciprocity and selectivity: Users are either both reciprocal and selective about whom they use Bitmoji stickers with or neither reciprocal nor selective. We additionally provide evidence of network homophily in that friends use Bitmoji stickers at similar rates. Finally, using a quasi-experimental approach, we show that receiving Bitmoji stickers from a friend encourages future Bitmoji sticker usage and overall Snapchat engagement. We discuss broader implications of our work towards a better understanding of pictorial communication behaviors in social networks.
description: 14 pages, 10 figures, 4 tables
Protocol for secure quantum machine learning at a distant place
Creators: name: Bang, Jeongho
name: Lee, Seung-Woo
name: Jeong, Hyunseok
Publisher: name: arXiv
Year: 2015
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The application of machine learning to quantum information processing has recently attracted keen interest, particularly for the optimization of control parameters in quantum tasks without any pre-programmed knowledge. By adapting the machine learning technique, we present a novel protocol in which an arbitrarily initialized device at a learner's location is taught by a provider located at a distant place. The protocol is designed such that any external learner who attempts to participate in or disrupt the learning process can be prohibited or noticed. We numerically demonstrate that our protocol works faithfully for single-qubit operation devices. A trade-off between the inaccuracy and the learning time is also analyzed.
description: 6 pages, 6 figures (to be published in Quantum Information Processing)
Invisible Charm Exotica
Creators: name: Praszałowicz, Michał
name: Kucab, Maciej
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: One possible interpretation of two narrow $Ω^0_c$ states reported by the LHCb Collaboration at CERN in 2017 is that they are pentaquarks belonging to a $\overline{\boldsymbol{15}}$ exotic SU(3) representation, as predicted by the Chiral Quark--Soliton Model. If so, there must exist a number of other exotic states since the model predicts three different $\overline{\boldsymbol{15}}$ multiplets of heavy baryons. We show, that depending on the soliton spin $J$, these states are either very narrow or very broad. This explains why they might have escaped experimental observation. Furthermore, we show that the lightest members of these multiplets are stable against two body strong decays.
description: 11 pages, 3 figures, v2 accepted in Phys. Rev. D
Le mani fiorentine di Lolita. Coincidenze warburghiane in Nabokov (e viceversa)
Creators: name: Sbrilli Antonella
Publisher: name: La Rivista di Engramma
Year: 2005
Subjects: Nabokov
Lolita
ninfa
Warburg

description: The essay deals with the relationship between Lolita, the protagonist of the novel written by Russian-American novelist Vladimir Nabokov, and the Nymph, the incarnation of the female figure in movement according to Warburg. Based on the hypotheses of Roberto Calasso, this contribution focuses on the possible connections between Nabokov and Warburg.
Light double-gluon hybrid states from QCD sum rules
Creators: name: Su, Niu
name: Chen, Hua-Xing
name: Chen, Wei
name: Zhu, Shi-Lin
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We study the double-gluon hybrid states with the quark-gluon contents $\bar q q gg$ ($q=u/d$) and $\bar s s gg$. We construct twelve double-gluon hybrid currents with various quantum numbers, five of which are found to be zero due to some internal symmetries between the two gluon fields. We use the rest seven currents to perform QCD sum rule analyses. Especially, the masses of the double-gluon hybrid states with the exotic quantum number $J^{PC} = 2^{+-}$ are calculated to be $M_{|\bar q q gg;2^{+-}\rangle} = 2.26^{+0.20}_{-0.25}$ GeV and $M_{|\bar s s gg;2^{+-}\rangle} = 2.38^{+0.19}_{-0.25}$ GeV. Their two- and three-meson decay patterns are also investigated.
description: 12 pages, 6 figures, 2 tables, revised version to be published in PRD
One-Point Gradient-Free Methods for Smooth and Non-Smooth Saddle-Point Problems
Creators: name: Beznosikov, Aleksandr
name: Novitskii, Vasilii
name: Gasnikov, Alexander
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: In this paper, we analyze gradient-free methods with one-point feedback for stochastic saddle point problems $\min_{x}\max_{y} φ(x, y)$. For non-smooth and smooth cases, we present analysis in a general geometric setup with arbitrary Bregman divergence. For problems with higher-order smoothness, the analysis is carried out only in the Euclidean case. The estimates we have obtained repeat the best currently known estimates of gradient-free methods with one-point feedback for problems of imagining a convex or strongly convex function. The paper uses three main approaches to recovering the gradient through finite differences: standard with a random direction, as well as its modifications with kernels and residual feedback. We also provide experiments to compare these approaches for the matrix game.
description: arXiv admin note: text overlap with arXiv:2005.05913
The excavation of an Early Neolithic Enclosed Farmstead at Threefords North, Milfield, Northumberland
Creators: name: Edwards, Ben
name: Miket, Roger F
name: Griffiths, Seren
Publisher: name: Archaeology Data Service
Year: 2024

description: Archaeologia Aeliana, 01.6, 1-48
description: This article reports on the excavation at Threefords, Milfield, Northumberland, of an early fourth millennium Neolithic building and midden, possibly within a ditched enclosure. Associated with these remains were a large deposit of Carinated Bowl pottery, a Group VI axehead of Langdale Tuff, and environmental material that included evidence for cereal cultivation and timber species. Later activity included shallow linear ditches, representing agricultural land division, and rig and furrow ploughing.
Room-Temperature Spin-Valve Effect in Fe$_3$GaTe$_2$/MoS$_2$/Fe$_3$GaTe$_2$ 2D van der Waals Heterojunction Devices
Creators: name: Jin, Wen
name: Zhang, Gaojie
name: Wu, Hao
name: Yang, Li
name: Zhang, Wenfeng
name: Chang, Haixin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Spin-valve effect has been the focus of spintronics over the last decades due to its potential in many spintronic devices. Two-dimensional (2D) van der Waals (vdW) materials are highly expected to build the spin-valve heterojunction. However, the Curie temperatures (TC) of the vdW ferromagnetic 2D crystals are mostly below room temperature (~30-220 K). It is very challenging to develop room temperature, ferromagnetic (FM) 2D crystals based spin-valve devices which are still not available to date. We report the first room temperature, FM 2D crystal based all-2D vdW Fe3GaTe2/MoS2/Fe3GaTe2 spin valve devices. The Magnetoresistance (MR) of the all- devices is up to 15.89% at 2.3 K and 11.97% at 10 K, 4-30 times of MR from the spin valves of Fe$_3$GaTe$_2$/MoS$_2$/Fe$_3$GaTe$_2$ and conventional NiFe/MoS$_2$/NiFe. Typical spin valve effect shows strong dependence on MoS2 spacer thickness in the vdW heterojunction. Importantly, the spin valve effect (0.31%) still robustly exists at 300 K with low working currents down to 10 nA (0.13 A/cm$^2$). The results provide a general vdW platform to room temperature, 2D FM crystals based 2D spin valve devices.