cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Thermodynamics of G.A mispairs in DNA: continuum electrostatic model
Creators: name: Berashevich, Julia
name: Chakraborty, Tapash
Publisher: name: arXiv
Year: 2008
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: An analysis of the stability of a duplex containing G.A mispairs or G.A/A.G tandem during DNA melting has revealed that duplex stability depends on both DNA sequences and on the conformations of the G.A mispairs. The thermodynamics of single pair opening for G(anti).A(syn) and G(anti).A(anti) conformations adopted by G.A mispairs is found to strongly correlate with that of the canonical base pairs, while for sheared conformation a significant difference is observed.
Additional file 4 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease
Creators: name: Aho, Velma T. E.
name: Houser, Madelyn C.
name: Pereira, Pedro A. B.
name: Jianjun Chang
name: Rudi, Knut
name: Paulin, Lars
name: Hertzberg, Vicki
name: Auvinen, Petri
name: Tansey, Malú G.
name: Scheperjans, Filip
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Physiology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified

description: Additional file 4: Scatterplots for significantly correlated clinical variables and SCFAs or inflammatory or permeability markers. Scatterplots visualizing relationships of significantly (p
Gyrotactic swimmers in turbulence: shape effects and role of the large-scale flow
Creators: name: Borgnino, Matteo
name: Boffetta, Guido
name: De Lillo, Filippo
name: Cencini, Massimo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: We study the dynamics and the statistics of dilute suspensions of gyrotactic swimmers, a model for many aquatic motile microorganisms. By means of extensive numerical simulations of the Navier-Stokes equations at different Reynolds numbers, we investigate preferential sampling and small scale clustering as a function of the swimming (stability and speed) and shape parameters, considering in particular the limits of spherical and rod-like particles. While spherical swimmers preferentially sample local downwelling flow, for elongated swimmers we observe a transition from downwelling to upwelling regions at sufficiently high swimming speed. The spatial distribution of both spherical and elongated swimmers is found to be fractal at small scales in a wide range of swimming parameters. The direct comparison between the different shapes shows that spherical swimmers are more clusterized at small stability and speed numbers, while for large values of the parameters elongated cells concentrate more. The relevance of our results for phytoplankton swimming in the ocean is briefly discussed.
description: 11 pages, 5 figures
On the well-posed variational principle in degenerate point particle systems using embeddings of the symplectic manifold
Creators: name: Tomonari, Kyosuke
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mathematical Physics (math-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: A methodology on making the variational principle well-posed in degenerate systems is constructed. In the systems including higher-order time derivative terms being compatible with Newtonian dynamics, we show that a set of position variables of a coordinate system of a given system has to be fixed on the boundaries and that such systems are always Ostrogradski stable and causal. For these systems, Frobenius integrability conditions are derived in explicit form. Relationships between integral constants indicated from the conditions and boundary conditions in a given coordinate system are also investigated by introducing three fundamental correspondences between Lagrange and Hamilton formulation. Based on these ingredients, we formulate problems that have to be resolved to realize the well-posedness in the degenerate systems. To resolve the problems, we compose a set of embbedings that extract a subspace holding the symplectic structure of the entire phase space in which the variational principle should be well-posed. Using these embeddings, we establish a methodology to set appropriate boundary conditions that the well-posed variational principle demands. Finally, we apply the methodology to examples and summarize this work as three-step procedure such that one can use just by following it.
description: Submission to PTEP, 46 pages. v2: added a subsection 2.4 and citations, extended Summary section, 47 pages. v3: published version from PTEP
Magnetized String Cosmological Model in Cylindrically Symmetric Inhomogeneous Universe with Variable Cosmological-Term $Λ$
Creators: name: Pradhan, Anirudh
Publisher: name: arXiv
Year: 2007
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Cylindrically symmetric inhomogeneous magnetized string cosmological model is investigated with cosmological term $Λ$ varying with time. To get the deterministic solution, it has been assumed that the expansion ($θ$) in the model is proportional to the eigenvalue $σ^{1}_{1}$ of the shear tensor $σ^{i}_{j}$. The value of cosmological constant for the model is found to be small and positive which is supported by the results from recent supernovae Ia observations. The physical and geometric properties of the model are also discussed in presence and absence of magnetic field.
description: 19 pages, 4 figures. arXiv admin note: substantial text overlap with arXiv:0705.0904
ผลของการใช้รูปแบบกิจกรรมศิลปะเพื่อการเรียนรู้ที่มีต่อการรับรู้สิ่งแวดล้อมรอบตัวของเด็กปฐมวัย
Creators: name: นภัส วรรณขันธ์
name: กุลยา ตันติผลาชีวะ
name: ราชันย์ บุญธิมา
Publisher: name: มหาวิทยาลัยราชภัฏมหาสารคาม
Year: 2009
Subjects: รูปแบบกิจกรรมศิลปะเพื่อการเรียนรู้, สิ่งแวดล้อมรอบตัวของเด็กปฐมวัย

description: 1, 3, วารสารมหาวิทยาลัยราชภัฏมหาสารคามมนุษยศาสตร์และสังคมศาสตร์
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling
Creators: name: Peluchetti, Stefano
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: The dynamic Schrödinger bridge problem seeks a stochastic process that defines a transport between two target probability measures, while optimally satisfying the criteria of being closest, in terms of Kullback-Leibler divergence, to a reference process. We propose a novel sampling-based iterative algorithm, the iterated diffusion bridge mixture (IDBM) procedure, aimed at solving the dynamic Schrödinger bridge problem. The IDBM procedure exhibits the attractive property of realizing a valid transport between the target probability measures at each iteration. We perform an initial theoretical investigation of the IDBM procedure, establishing its convergence properties. The theoretical findings are complemented by numerical experiments illustrating the competitive performance of the IDBM procedure. Recent advancements in generative modeling employ the time-reversal of a diffusion process to define a generative process that approximately transports a simple distribution to the data distribution. As an alternative, we propose utilizing the first iteration of the IDBM procedure as an approximation-free method for realizing this transport. This approach offers greater flexibility in selecting the generative process dynamics and exhibits accelerated training and superior sample quality over larger discretization intervals. In terms of implementation, the necessary modifications are minimally intrusive, being limited to the training loss definition.
การมีส่วนร่วมของคณะกรรมการสถานศึกษาขั้นพื้นฐานต่อการนำภูมิปัญญาท้องถิ่นมาใช้ในโรงเรียน สังกัดสำนักงานเขตพื้นที่การศึกษากาฬสินธุ์ เขต 2
Creators: name: เฉลิม คงแสนคำ
name: อดุลยศักดิ์ สุนทรโรจน์
name: มานิตย์ อัญญะโพธิ์
name: ทนงชัย ลาภรัตนวิทยา
Publisher: name: มหาวิทยาลัยราชภัฏมหาสารคาม
Year: 2009
Subjects: การมีส่วนร่วม, ภูมิปัญญาท้องถิ่น

description: 1, 3, วารสารมหาวิทยาลัยราชภัฏมหาสารคามมนุษยศาสตร์และสังคมศาสตร์
A partial Lyman limit system tracing intragroup gas at $z \approx 0.8$ towards HE1003+0149
Creators: name: Narayanan, Anand
name: Sameer
name: Muzahid, Sowgat
name: Johnson, Sean D.
name: Udhwani, Purvi
name: Charlton, Jane C.
name: Mauerhofer, Valentin
name: Schaye, Joop
name: Yadav, Mathin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present an analysis of the galaxy environment and physical properties of a partial Lyman limit system at z = 0.83718 with HI and metal line components closely separated in redshift space ($|Δv| \approx 400$ km/s) towards the background quasar HE1003+0149. The HST/COS far-ultraviolet spectrum provides coverage of lines of oxygen ions from OI to OV. Comparison of observed spectral lines with synthetic profiles generated from Bayesian ionization modeling reveals the presence of two distinct gas phases in the absorbing medium. The low-ionization phase of the absorber has sub-solar metallicities (1/10-th solar) with indications of [C/O] < 0 in each of the components. The OIV and OV trace a more diffuse higher-ionization medium with predicted HI column densities that are $\approx 2$ dex lower. The quasar field observed with VLT/MUSE reveals three dwarf galaxies with stellar masses of $M^* \sim 10^{8} - 10^{9}$ M$_\odot$, and with star formation rates of $\approx 0.5 - 1$ M$_\odot$ yr$^{-1}$, at projected separations of $ρ/R_{\mathrm{vir}} \approx 1.8 - 3.0$ from the absorber. Over a wider field with projected proper separation of $\leq 5$ Mpc and radial velocity offset of $|Δv| \leq 1000$ km/s from the absorber, 21 more galaxies are identified in the $VLT$/VIMOS and Magellan deep galaxy redshift surveys, with 8 of them within $1$ Mpc and $500$ km/s, consistent with the line of sight penetrating a group of galaxies. The absorber presumably traces multiple phases of cool ($T \sim 10^4$ K) photoionized intragroup medium. The inferred [C/O] < 0 hints at preferential enrichment from core-collapse supernovae, with such gas displaced from one or more of the nearby galaxies, and confined to the group medium.
description: 20 pages, 11 figures, accepted for publication in MNRAS
Thermodynamic performance bounds for radiative heat engines
Creators: name: Giteau, Maxime
name: Picardi, Michela F.
name: Papadakis, Georgia T.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Applied Physics (physics.app-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Heat engines cannot generally operate at maximum power and efficiency, imposing a trade-off between the two. Here, we highlight the exact nature of this trade-off for engines that exchange heat radiatively with a hot source. We derive simple analytical expressions for the performance bounds of reciprocal and nonreciprocal radiative heat engines. We also highlight that radiative engines can achieve a better power-efficiency trade-off than linear ones. These bounds are especially relevant for thermophotovoltaics, offering useful metrics against which to compare device performance.
description: 7 pages, 6 figures
รูปแบบการดำเนินงานศูนย์วิจัยและพัฒนาเทคนิคศึกษา ระดับอาชีวศึกษาจังหวัด
Creators: name: ไพโรจน์ สถิรยากร
name: สุราษฎร์ พรมจันทร์
Publisher: name: มหาวิทยาลัยราชภัฏมหาสารคาม
Year: 2010
Subjects: รูปแบบการดำเนินงาน, ศูนย์วิจัยและพัฒนาเทคนิคศึกษา

description: 1, 4, วารสารมหาวิทยาลัยราชภัฏมหาสารคามมนุษยศาสตร์และสังคมศาสตร์
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Creators: name: Wei, Kang
name: Li, Jun
name: Ma, Chuan
name: Ding, Ming
name: Shu, Feng
name: Zhao, Haitao
name: Chen, Wen
name: Zhu, Hongbo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Artificial Intelligence (cs.AI)
subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Federated learning (FL) enables distributed clients to collaboratively train a machine learning model without sharing raw data with each other. However, it suffers the leakage of private information from uploading models. In addition, as the model size grows, the training latency increases due to limited transmission bandwidth and the model performance degrades while using differential privacy (DP) protection. In this paper, we propose a gradient sparsification empowered FL framework over wireless channels, in order to improve training efficiency without sacrificing convergence performance. Specifically, we first design a random sparsification algorithm to retain a fraction of the gradient elements in each client's local training, thereby mitigating the performance degradation induced by DP and and reducing the number of transmission parameters over wireless channels. Then, we analyze the convergence bound of the proposed algorithm, by modeling a non-convex FL problem. Next, we formulate a time-sequential stochastic optimization problem for minimizing the developed convergence bound, under the constraints of transmit power, the average transmitting delay, as well as the client's DP requirement. Utilizing the Lyapunov drift-plus-penalty framework, we develop an analytical solution to the optimization problem. Extensive experiments have been implemented on three real life datasets to demonstrate the effectiveness of our proposed algorithm. We show that our proposed algorithms can fully exploit the interworking between communication and computation to outperform the baselines, i.e., random scheduling, round robin and delay-minimization algorithms.
การพัฒนารูปแบบการฝึกอบรมครูสอนภาษาอังกฤษแบบค่ายกิจกรรม
Creators: name: อนุวัต ชัยเกียรติธรรม
name: มนต์ชัย เทียนทอง
name: ไพโรจน์ สถิรยากร
name: งามทิพย์ วิมลเกษม
Publisher: name: มหาวิทยาลัยราชภัฏมหาสารคาม
Year: 2010
Subjects: รูปแบบการฝึกอบรม, ครูสอนภาษาอังกฤษ, ค่ายกิจกรรม

description: 1, 4, วารสารมหาวิทยาลัยราชภัฏมหาสารคามมนุษยศาสตร์และสังคมศาสตร์
Simulation of Laser Propagation in a Plasma with a Frequency Wave Equation
Creators: name: Desroziers, Sylvain
name: Nataf, Frédéric
name: Sentis, Remi
Publisher: name: arXiv
Year: 2007
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 65N55

description: The aim of this work is to perform numerical simulations of the propagation of a laser in a plasma. At each time step, one has to solve a Helmholtz equation in a domain which consists in some hundreds of millions of cells. To solve this huge linear system, one uses a iterative Krylov method with a preconditioning by a separable matrix. The corresponding linear system is solved with a block cyclic reduction method. Some enlightments on the parallel implementation are also given. Lastly, numerical results are presented including some features concerning the scalability of the numerical method on a parallel architecture.
Supplementary document for Phase sensitivity for an SU(1,1) interferometer via multiphoton subtraction at the output port - 7456792.pdf
Creators: name: Jiang, Tao
name: Zhao, Zekun
name: Kang, Qingqian
name: Zhao, Teng
name: Zhou, NanRun
name: Liu, Cunjin
name: Hu, Li-yun
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Phase_sensitivity_for_an_SU(1,1)_interferometer_via_multiphoton_subtraction_at_the_output
Additional file 1 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease
Creators: name: Aho, Velma T. E.
name: Houser, Madelyn C.
name: Pereira, Pedro A. B.
name: Jianjun Chang
name: Rudi, Knut
name: Paulin, Lars
name: Hertzberg, Vicki
name: Auvinen, Petri
name: Tansey, Malú G.
name: Scheperjans, Filip
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Physiology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified

description: Additional file 1: Supplementary Methods. Extended descriptions of measurements for SCFAs and inflammatory and permeability markers and details of statistical analyses.
Free and forced vibrations of damped locally-resonant sandwich beams
Creators: name: Russillo, Andrea Francesco
name: Failla, Giuseppe
name: Fraternali, Fernando
Publisher: name: arXiv
Year: 2021
Subjects: subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: This paper addresses the dynamics of locally-resonant sandwich beams, where multi-degree-of-freedom viscously-damped resonators are periodically distributed within the core matrix. Using an equivalent single-layer Timoshenko beam model coupled with mass-spring-dashpot subsystems representing the resonators, two solution methods are presented. The first is a direct integration method providing the exact frequency response under arbitrary loads. The second is a complex modal analysis approach obtaining exact modal impulse and frequency response functions, upon deriving appropriate orthogonality conditions for the complex modes. The challenging issue of calculating all eigenvalues, without missing anyone, is solved applying a recently-introduced contour-integral algorithm to a characteristic equation built as determinant of an exact frequency-response matrix, whose size is $4 \times 4$ regardless of the number of resonators. Numerical applications prove exactness and robustness of the proposed solutions.
Statistical Mechanics of Inference in Epidemic Spreading
Creators: name: Braunstein, Alfredo
name: Budzynski, Louise
name: Mariani, Matteo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We investigate the information-theoretical limits of inference tasks in epidemic spreading on graphs in the thermodynamic limit. The typical inference tasks consist in computing observables of the posterior distribution of the epidemic model given observations taken from a ground truth (sometimes called planted) random trajectory. We can identify two main sources of quenched disorder: the graph ensemble and the planted trajectory. The epidemic dynamics however induces non-trivial long-range correlations among individuals' states on the latter. This results in non-local correlated quenched disorder which unfortunately is typically hard to handle. To overcome this difficulty, we divide the dynamical process into two sets of variables: a set of stochastic independent variables (representing transmission delays), plus a set of correlated variables (the infection times) that depend deterministically on the first. Treating the former as quenched variables and the latter as dynamic ones, computing disorder average becomes feasible by means of the Replica Symmetric cavity method. We give theoretical predictions on the posterior probability distribution of the trajectory of each individual, conditioned to observations on the state of individuals at given times, focusing on the Susceptible Infectious (SI) model. In the Bayes-optimal condition, i.e. when true dynamic parameters are known, the inference task is expected to fall in the Replica Symmetric regime. We indeed provide predictions for the information theoretic limits of various inference tasks, in form of phase diagrams. We also identify a region, in the Bayes-Optimal setting, with strong hints of Replica Symmetry Breaking. When true parameters are unknown, we show how a maximum-likelihood procedure is able to recover them with mostly unaffected performance.
CMB data analysis and sparsity
Creators: name: Abrial, P.
name: Moudden, Y.
name: Starck, J. -L.
name: Fadili, J.
name: Delabrouille, J.
name: Nguyen, M. K.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: The statistical analysis of the soon to come Planck satellite CMB data will help set tighter bounds on major cosmological parameters. On the way, a number of practical difficulties need to be tackled, notably that several other astrophysical sources emit radiation in the frequency range of CMB observations. Some level of residual contributions, most significantly in the galactic region and at the locations of strong radio point sources will unavoidably contaminate the estimated spherical CMB map. Masking out these regions is common practice but the gaps in the data need proper handling. In order to restore the stationarity of a partly incomplete CMB map and thus lower the impact of the gaps on non-local statistical tests, we developed an inpainting algorithm on the sphere based on a sparse representation of the data, to fill in and interpolate across the masked regions.
description: Accepted for publication in Statistical Methodology
Collider signatures of vector-like fermions from a flavor symmetric model
Creators: name: Bonilla, Cesar
name: Hernández, A. E. Cárcamo
name: Gonçalves, João
name: Freitas, Felipe F.
name: Morais, António P.
name: Pasechnik, R.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We propose a model with two Higgs doublets and several $SU(2)$ scalar singlets with a global non-Abelian flavor symmetry $\mathcal{Q}_6\times\mathcal{Z}_2$. This discrete group accounts for the observed pattern of fermion masses and mixing angles after spontaneous symmetry breaking. In this scenario only the third generation of fermions get their masses as in the Standard Model (SM). The masses of the remaining fermions are generated through a seesaw-like mechanism. To that end, the matter content of the model is enlarged by introducing electrically charged vector-like fermions (VLFs), right handed Majorana neutrinos and several SM scalar singlets. Here we study the processes involving VLFs that are within the reach of the Large Hadron Collider (LHC). We perform collider studies for vector-like leptons (VLLs) and vector-like quarks (VLQs), focusing on double production channels for both cases, while for VLLs single production topologies are also included. Utilizing genetic algorithms for neural network optimization, we determine the statistical significance for a hypothetical discovery at future LHC runs. In particular, we show that we can not safely exclude VLLs for masses greater than $200~\mathrm{GeV}$. For VLQ's in our model, we show that we can probe their masses up to 3.8 TeV, if we take only into account the high-luminosity phase of the LHC. Considering Run-III luminosities, we can also exclude VLQs for masses up to $3.4~\mathrm{TeV}$. We also show how the model with predicted VLL masses accommodates the muon anomalous magnetic moment.
description: 32 pages,16 figures. Additional references and discussion. Matches version to be published in JHEP
Ganoderma lucidum Karst
Creators: name: Yang, Chengshuai
name: Li, Weichao
name: Li, Chen
name: Zhou, Zhihua
name: Xiao, Youli
name: Yan, Xing
Publisher: name: Zenodo
Year: 2018
Subjects: Biodiversity
Taxonomy
Fungi
Basidiomycota
Agaricomycetes
Polyporales
Ganodermataceae
Ganoderma
Ganoderma lucidum

description: 2.5. In vitro enzymatic activity confirmed the function of GLCPR, an NADPH-CYP reductase from G. lucidum
In general, a CYP requires an NADPH-CYP reductase for its function. In S. cerevisiae, the NADPH-dependent CYP reductase, NCP1, was characterized as a working partner of endogenous or heterogeneous CYPs (Hirosue et al., 2011; Ide et al., 2012; Venkateswarlu et al., 1997). An ORF annotated as an NADPH-dependent CYP reductase, which shares a 36.62% amino acid sequence similarity with NCP1, was cloned from G. lucidum cDNA and named GLCPR. GLCPR was then introduced into a yeast chassis to replace the full-length ORF of NCP1 and the recombinant GLCPR113-3C strain was able to grow normally in YPD medium without the addition of ergosterol. It was demonstrated that the heterogenous GLCPR functioned in cooperation with endogenous CYPs in yeast to produce ergosterol, which is essential for yeast growth. Moreover, the pESC-dTrp-GLCPR-CYP512U6 expression vector containing the CYP512U6 and GLCPR ORFs under the control of the GAL1 and GAL10 promoters respectively, was constructed in GLCPR113-3C, and the resulting strain ZYGL02 catalyzed the conversion of ganoderic acid DM to 2 (Fig. 5 and Table 1), indicating that the GLCPR functions in cooperation with CYPs such as CYP512U6, in G. lucidum.
description: Published as part of Yang, Chengshuai, Li, Weichao, Li, Chen, Zhou, Zhihua, Xiao, Youli & Yan, Xing, 2018, Metabolism of ganoderic acids by a Ganoderma lucidum cytochrome P 450 and the 3 - keto sterol reductase ERG 27 from yeast, pp. 83-92 in Phytochemistry 155 on page 87, DOI: 10.1016/j.phytochem.2018.07.009, http://zenodo.org/record/10484235
Thermal conductivity of micro/nano-porous polymers: Prediction models and applications
Creators: name: Yu, Haiyan
name: Zhang, Haochun
name: Zhao, Jinchuan
name: Liu, Jing
name: Xia, Xinlin
name: Wu, Xiaohu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Micro/nano porous polymeric material is considered a unique industrial material due to its extremely low thermal conductivity, low density, and high surface area. Therefore, it is necessary to establish an accurate thermal conductivity prediction model suiting their applicable conditions and provide a theoretical basis for expanding of their applications. In this work, the development of the calculation model of equivalent thermal conductivity of micro/nano porous polymeric materials in recent years was summarized. Firstly, it reviews the process of establishing the overall equivalent thermal conductivity calculation model for micro/nano porous polymers. Then, the predicted calculation models of thermal conductivity are introduced according to the conductive thermal conductivity models and the radiative thermal conductivity models separately. In addition, the thermal conduction part is divided into the gaseous thermal conductivity model, solid thermal conductivity model and gas-solid coupling model. Finally, it is concluded that, compared with other porous materials, there are few studies on heat transfer of micro/nano porous polymers, especially on the special heat transfer mechanisms such as scale effects at the micro/nanoscale. In particular, the following aspects of porous polymers still need to be further studied: micro scaled thermal radiation, heat transfer characteristics of special morphologies at the nanoscale, heat transfer mechanism and impact factors of micro/nano porous polymers. Such studies would provide a more accurate prediction of thermal conductivity and a wider application in energy conversion and storage systems.
description: 19 pages, 9 figures
Transition to the Haldane phase driven by electron-electron correlations
Creators: name: Jażdżewska, A.
name: Mierzejewski, M.
name: Środa, M.
name: Nocera, A.
name: Alvarez, G.
name: Dagotto, E.
name: Herbrych, J.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: One of the most famous quantum systems with topological properties, the spin $\mathcal{S}=1$ antiferromagnetic Heisenberg chain, is well-known to display exotic $\mathcal{S}=1/2$ edge states. However, this spin model has not been analyzed from the more general perspective of strongly correlated systems varying the electron-electron interaction strength. Here, we report the investigation of the emergence of the Haldane edge in a system of interacting electrons -- the two-orbital Hubbard model -- with increasing repulsion strength $U$ and Hund interaction $J_\mathrm{H}$. We show that interactions not only form the magnetic moments but also form a topologically nontrivial fermionic many-body ground-state with zero-energy edge states. Specifically, upon increasing the strength of the Hubbard repulsion and Hund exchange, we identify a sharp transition point separating topologically trivial and nontrivial ground-states. Surprisingly, such a behaviour appears already at rather small values of the interaction, in a regime where the magnetic moments are barely developed.
Signal in the noise: temporal variation in exponentially growing populations
Creators: name: Jones, Eric W.
name: Derrick, Joshua
name: Nisbet, Roger M.
name: Ludington, Will
name: Sivak, David A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: In exponential population growth, variability in the timing of individual division events and environmental factors (including stochastic inoculation) compound to produce variable growth trajectories. In several stochastic models of exponential growth we show power-law relationships that relate variability in the time required to reach a threshold population size to growth rate and inoculum size. Population-growth experiments in E. coli and S. aureus with inoculum sizes ranging between 1 and 100 are consistent with these relationships. We quantify how noise accumulates over time, finding that it encodes -- and can be used to deduce -- information about the early growth rate of a population.
description: 6 page main text with 5 figures, 8 page supplement with 4 figures. Updated with substantially revised manuscript
Asymptotics in ASEP with Step Initial Condition
Creators: name: Tracy, Craig A.
name: Widom, Harold
Publisher: name: arXiv
Year: 2008
Subjects: subject: Probability (math.PR)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 60K35

description: In previous work the authors considered the asymmetric simple exclusion process on the integer lattice in the case of step initial condition, particles beginning at the positive integers. There it was shown that the probability distribution for the position of an individual particle is given by an integral whose integrand involves a Fredholm determinant. Here we use this formula to obtain three asymptotic results for the positions of these particles. In one an apparently new distribution function arises and in another the distribuion function F_2 arises. The latter extends a result of Johansson on TASEP to ASEP.
description: 29 pages. Version 2 has a new title and adds asymptotics in a third regime
Graph-theoretical optimization of fusion-based graph state generation
Creators: name: Lee, Seok-Hyung
name: Jeong, Hyunseok
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Graph states are versatile resources for various quantum information processing tasks, including measurement-based quantum computing and quantum repeaters. Although the type-II fusion gate enables all-optical generation of graph states by combining small graph states, its non-deterministic nature hinders the efficient generation of large graph states. In this work, we present a graph-theoretical strategy to effectively optimize fusion-based generation of any given graph state, along with a Python package OptGraphState. Our strategy comprises three stages: simplifying the target graph state, building a fusion network, and determining the order of fusions. Utilizing this proposed method, we evaluate the resource overheads of random graphs and various well-known graphs. Additionally, we investigate the success probability of graph state generation given a restricted number of available resource states. We expect that our strategy and software will assist researchers in developing and assessing experimentally viable schemes that use photonic graph states.
description: 22 pages, 14 figures. For more details on the python package OptGraphState, see https://github.com/seokhyung-lee/OptGraphState
Additional file 5 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease
Creators: name: Aho, Velma T. E.
name: Houser, Madelyn C.
name: Pereira, Pedro A. B.
name: Jianjun Chang
name: Rudi, Knut
name: Paulin, Lars
name: Hertzberg, Vicki
name: Auvinen, Petri
name: Tansey, Malú G.
name: Scheperjans, Filip
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Physiology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified

description: Additional file 5: Microbial diversity and PD-related variables. A) Table summarizing p-values for comparisons of alpha and beta diversity; B) Scatterplots of significant correlations for alpha diversity and PD-related variables; C) NMDS ordination plots for PD-related variables.
The impact of static distortion waves on superlubricity
Creators: name: Hörmann, Lukas
name: Cartus, Johannes J.
name: Hofmann, Oliver T.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Friction is a major source of energy loss in mechanical devices. This energy loss may be minimized by creating interfaces with extremely reduced friction, i.e. superlubricity. Conventional wisdom holds that incommensurate interface structures facilitate superlubricity. Accurately describing friction necessitates precise modeling of the interface structure. This, in turn, requires the use of accurate first-principles electronic structure methods, especially when studying organic/metal interfaces, which are highly relevant due to their tunability and propensity to form incommensurate structures. However, the system size required to calculate incommensurate structures renders such calculations intractable. As a result, studies of incommensurate interfaces have been limited to very simple model systems or strongly simplified methodology. We overcome this limitation by developing a machine-learned interatomic potential that is able to determine energies and forces for structures containing thousands to tens of thousands of atoms with an accuracy comparable to conventional first principles methods but at a fraction of the cost. Using this approach, we quantify the breakdown of superlubricity in incommensurate structures due to the formation of static distortion waves. Moreover, we extract design principles to engineer incommensurate interface systems where the formation of static distortion waves is suppressed, which facilitates low friction coefficients.
The Bjøntegaard Bible -- Why your Way of Comparing Video Codecs May Be Wrong
Creators: name: Herglotz, Christian
name: Och, Hannah
name: Meyer, Anna
name: Ramasubbu, Geetha
name: Eichermüller, Lena
name: Kränzler, Matthias
name: Brand, Fabian
name: Fischer, Kristian
name: Nguyen, Dat Thanh
name: Regensky, Andy
name: Kaup, André
Publisher: name: arXiv
Year: 2023
Subjects: subject: Image and Video Processing (eess.IV)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this paper, we provide an in-depth assessment on the Bjøntegaard Delta. We construct a large data set of video compression performance comparisons using a diverse set of metrics including PSNR, VMAF, bitrate, and processing energies. These metrics are evaluated for visual data types such as classic perspective video, 360$^\circ$ video, point clouds, and screen content. As compression technology, we consider multiple hybrid video codecs as well as state-of-the-art neural network based compression methods. Using additional supporting points inbetween standard points defined by parameters such as the quantization parameter, we assess the interpolation error of the Bjøntegaard-Delta (BD) calculus and its impact on the final BD value. From the analysis, we find that the BD calculus is most accurate in the standard application of rate-distortion comparisons with mean errors below 0.5 percentage points. For other applications and special cases, e.g., VMAF quality, energy considerations, or inter-codec comparisons, the errors are higher (up to 5 percentage points), but can be halved by using a higher number of supporting points. We finally come up with recommendations on how to use the BD calculus such that the validity of the resulting BD-values is maximized. Main recommendations are as follows: First, relative curve differences should be plotted and analyzed. Second, the logarithmic domain should be used for saturating metrics such as SSIM and VMAF. Third, BD values below a certain threshold indicated by the subset error should not be used to draw recommendations. Fourth, using two supporting points is sufficient to obtain rough performance estimates.
description: 21 pages, 14 figures
Study of the relation between luni-solar periodicities and earthquake events
Creators: name: Huda, Ibnu Nurul
name: Souchay, Jean
Publisher: name: arXiv
Year: 2021
Subjects: subject: Geophysics (physics.geo-ph)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: We revisit the work of Kilston and Knopoff (1983) to study the correlation of earthquakes with the main lunisolar tidal components in the limited zone of the Southern California region, with a considerably bigger amount of data. By adopting the same methodology as these authors, we confirm their results, i.e. that strong earthquakes with M >= 6 show a statistically significant correlation with half day and precession cycles, with respective periods 12 hr. and 18.6 y., while weaker earthquakes show a correlation with the annual cycle. Moreover we extended the study to the analysis of bi-modal phase to phase diagrams, leading to a very high probability of a lack of earthquake occurrences when both phases of the 12 hr. and 18.6 y. cycles are inside the [0 - 0.5] interval. Furthermore, we demonstrate that the statistical method is not really appropriate to study the correlation with the semi-lunar day and the fortnightly tidal components.
description: 15 pages; 5 figures; accepted for publication in the Romanian Astronommical Journal
Direct Detection of Light Dark Matter from Evaporating Primordial Black Holes
Creators: name: Calabrese, Roberta
name: Chianese, Marco
name: Fiorillo, Damiano F. G.
name: Saviano, Ninetta
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The direct detection of sub-GeV dark matter interacting with nucleons is hampered by the low recoil energies induced by scatterings in the detectors. This experimental difficulty is avoided in the scenario of boosted dark matter where a component of dark matter particles is endowed with large kinetic energies. In this Letter, we point out that the current evaporation of primordial black holes with masses from $10^{14}$ to $10^{16}$ g is a source of boosted light dark matter with energies of tens to hundreds of MeV. Focusing on the XENON1T experiment, we show that these relativistic dark matter particles could give rise to a signal orders of magnitude larger than the present upper bounds. Therefore, we are able to significantly constrain the combined parameter space of primordial black holes and sub-GeV dark matter. In the presence of primordial black holes with a mass of $10^{15}~\mathrm{g}$ and an abundance compatible with present bounds, the limits on DM-nucleon cross-section are improved by four orders of magnitude.
description: 8 pages, 3 figures. v2: updated to published version
UniNeXt: Exploring A Unified Architecture for Vision Recognition
Creators: name: Lin, Fangjian
name: Yuan, Jianlong
name: Wu, Sitong
name: Wang, Fan
name: Wang, Zhibin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Vision Transformers have shown great potential in computer vision tasks. Most recent works have focused on elaborating the spatial token mixer for performance gains. However, we observe that a well-designed general architecture can significantly improve the performance of the entire backbone, regardless of which spatial token mixer is equipped. In this paper, we propose UniNeXt, an improved general architecture for the vision backbone. To verify its effectiveness, we instantiate the spatial token mixer with various typical and modern designs, including both convolution and attention modules. Compared with the architecture in which they are first proposed, our UniNeXt architecture can steadily boost the performance of all the spatial token mixers, and narrows the performance gap among them. Surprisingly, our UniNeXt equipped with naive local window attention even outperforms the previous state-of-the-art. Interestingly, the ranking of these spatial token mixers also changes under our UniNeXt, suggesting that an excellent spatial token mixer may be stifled due to a suboptimal general architecture, which further shows the importance of the study on the general architecture of vision backbone.
description: Accep by ACM MM 2023
Anisotropic quasiparticle coherence in nematic BaFe$_2$As$_2$ studied with strain-dependent ARPES
Creators: name: Pfau, H.
name: Chen, S. D.
name: Hashimoto, M.
name: Gauthier, N.
name: Rotundu, C. R.
name: Palmstrom, J. C.
name: Fisher, I. R.
name: Mo, S. -K.
name: Shen, Z. -X.
name: Lu, D.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The hallmark of nematic order in iron-based superconductors is a resistivity anisotropy but it is unclear to which extent quasiparticle dispersions, lifetimes and coherence contribute. While the lifted degeneracy of the Fe $d_{xz}$ and $d_{yz}$ dispersions has been studied extensively, only little is known about the two other factors. Here, we combine in situ strain tuning with ARPES and study the nematic response of the spectral weight in BaFe$_2$As$_2$. The symmetry analysis of the ARPES spectra demonstrates that the $d_{xz}$ band gains quasiparticle spectral weight compared to the $d_{yz}$ band for negative antisymmetric strain $Δε_{yy}$ suggesting the same response inside the nematic phase. Our results are compatible with a different coherence of the $d_{xz}$ and $d_{yz}$ orbital within a Hund's metal picture. We also discuss the influence of orbital mixing.
description: 6 pages, 4 figures
Statistical Classification via Robust Hypothesis Testing: Non-Asymptotic and Simple Bounds
Creators: name: Afşer, Hüseyin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: We consider Bayesian multiple statistical classification problem in the case where the unknown source distributions are estimated from the labeled training sequences, then the estimates are used as nominal distributions in a robust hypothesis test. Specifically, we employ the DGL test due to Devroye et al. and provide non-asymptotic, exponential upper bounds on the error probability of classification. The proposed upper bounds are simple to evaluate and reveal the effects of the length of the training sequences, the alphabet size and the numbers of hypothesis on the error exponent. The proposed method can also be used for large alphabet sources when the alphabet grows sub-quadratically in the length of the test sequence. The simulations indicate that the performance of the proposed method gets close to that of optimal hypothesis testing as the length of the training sequences increases.
description: arXiv admin note: text overlap with arXiv:2106.04824
Additional file 8 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease
Creators: name: Aho, Velma T. E.
name: Houser, Madelyn C.
name: Pereira, Pedro A. B.
name: Jianjun Chang
name: Rudi, Knut
name: Paulin, Lars
name: Hertzberg, Vicki
name: Auvinen, Petri
name: Tansey, Malú G.
name: Scheperjans, Filip
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Physiology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified

description: Additional file 8: NMDS ordination plots for beta diversity, PD/control status, and select analytes. NMDS ordination plots for the stool markers and SCFAs associated with the most notable beta diversity difference. Variables were split into two categories by median.
Dynamic Clustering in Object-Oriented Databases: An Advocacy for Simplicity
Creators: name: Darmont, Jérôme
name: Fromantin, Christophe
name: Régnier, Stéphane
name: Gruenwald, Le
name: Schneider, Michel
Publisher: name: arXiv
Year: 2007
Subjects: subject: Databases (cs.DB)
subject: FOS: Computer and information sciences

description: We present in this paper three dynamic clustering techniques for Object-Oriented Databases (OODBs). The first two, Dynamic, Statistical & Tunable Clustering (DSTC) and StatClust, exploit both comprehensive usage statistics and the inter-object reference graph. They are quite elaborate. However, they are also complex to implement and induce a high overhead. The third clustering technique, called Detection & Reclustering of Objects (DRO), is based on the same principles, but is much simpler to implement. These three clustering algorithm have been implemented in the Texas persistent object store and compared in terms of clustering efficiency (i.e., overall performance increase) and overhead using the Object Clustering Benchmark (OCB). The results obtained showed that DRO induced a lighter overhead while still achieving better overall performance.