cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A Review of Vegetation Encroachment Detection in Power Transmission Lines using Optical Sensing Satellite Imagery
Creators: name: Haroun, Fathi Mahdi Elsiddig
name: Deros, Siti Noratiqah Mohamad
name: Din, Norashidah Md
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Vegetation encroachment in power transmission lines can cause outages, which may result in severe impact on economic of power utilities companies as well as the consumer. Vegetation detection and monitoring along the power line corridor right-of-way (ROW) are implemented to protect power transmission lines from vegetation penetration. There were various methods used to monitor the vegetation penetration, however, most of them were too expensive and time consuming. Satellite images can play a major role in vegetation monitoring, because it can cover high spatial area with relatively low cost. In this paper, the current techniques used to detect the vegetation encroachment using satellite images are reviewed and categorized into four sectors; Vegetation Index based method, object-based detection method, stereo matching based and other current techniques. However, the current methods depend usually on setting manually serval threshold values and parameters which make the detection process very static. Machine Learning (ML) and deep learning (DL) algorithms can provide a very high accuracy with flexibility in the detection process. Hence, in addition to review the current technique of vegetation penetration monitoring in power transmission, the potential of using Machine Learning based algorithms are also included.
description: 7 pages, 7 figures , 2 Tables
FRAILTY, FIBROMYALGIA, AND COGNITION
Creators: name: Montelongo, Joana
Publisher: name: Zenodo
Year: 2021
Subjects: frailty
fibromyalgia
cognition
aging
executive function
processing speed

description: Fibromyalgia (FM) is a chronic widespread musculoskeletal pain syndrome that affects 5% of the population with unknown etiology. FM is associated with cognitive decline, age-related comorbidities, and unexplained chronic fatigue, symptoms related to frailty. Frailty is a common geriatric condition characterized by an increased risk of declines in health and function among older adults. Frailty is characterized by weakness, slowness, exhaustion, and low physical activity. As the aging population continues to grow, there is a need to explore the association between frailty, FM, and cognition. The purpose of this current study was to assess whether there is a relationship in age, frailty factors, FM status, and frailty and FM on cognitive decline. The sample (n = 216; 179 females, 37 males) was recruited from the community. Participants were required to provide documentation of having met FM diagnostic criteria. The four outcome variables were Stroop C/CW and Trails A/B. In the current study, it was hypothesized that frailty factors were associated with cognitive decline. It was also hypothesized that FM status would be related to cognitive decline. Lastly, it was hypothesized that frailty and FM would interact with cognitive decline. The first hypothesis was partially supported showing the frailty physical performance-based scores association with lower executive function and processing speed on Stroop C/CW and Trails A/B. The second and third hypotheses were not supported by this study. Findings may be valuable to those interested in maintaining healthy cognition throughout adulthood.
ปฏิบัติตัวอย่างไร ห่างไกลการเกิดนิ่วในทางเดินปัสสาวะ
Creators: name: พลอยรัตน์ อุทัยพัฒนะศักดิ์
Publisher: name: กองนวัตกรรมและวิจัย กรมควบคุมโรค
Year: 2561
Subjects: การป้องกัน
นิ่วในทางเดินปัสสาวะ

description: วารสารควบคุมโรค, 44, 2, 101-121
Deterministic transfer of optical-quality carbon nanotubes for atomically defined technology
Creators: name: Otsuka, K.
name: Fang, N.
name: Yamashita, D.
name: Taniguchi, T.
name: Watanabe, K.
name: Kato, Y. K.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: When continued device scaling reaches the ultimate limit imposed by atoms, technology based on atomically precise structures is expected to emerge. Device fabrication will then require building blocks with identified atomic arrangements and assembly of the components without contamination. Here we report on a versatile dry transfer technique for deterministic placement of optical-quality carbon nanotubes. Single-crystalline anthracene is used as a medium which readily sublimes by mild heating, leaving behind clean nanotubes and thus enabling bright photoluminescence. We are able to position nanotubes of a desired chirality with a sub-micron accuracy under in-situ optical monitoring, thereby demonstrating deterministic coupling of a nanotube to a photonic crystal nanobeam cavity. A cross junction structure is also designed and constructed by repeating the nanotube transfer, where intertube exciton transfer is observed. Our results represent an important step towards development of devices consisting of atomically precise components and interfaces.
description: 9 pages, 5 figures
Centralizer classification and rigidity for some partially hyperbolic toral automorphisms
Creators: name: Sandfeldt, Sven
Publisher: name: arXiv
Year: 2023
Subjects: subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: 37C85

description: In this paper we consider local centralizer classification and rigidity of some toral automorphisms. In low dimensions we classify up to finite index possible centralizers for volume preserving diffeomorphisms $f$ $C^{1}-$close to an ergodic irreducible toral automorphism $L$. Moreover, we show a rigidity result in the case that the centralizer of $f$ is large: If the smooth centralizer $Z^{\infty}(f)$ is virtually isomorphic to that of $L$ then $f$ is $C^{\infty}-$conjugate to $L$. In higher dimensions we show a similar rigidity result for certain irreducible toral automorphisms. We also classify up to finite index all possible centralizers for symplectic diffeomorphisms $C^{5}-$close to a class of irreducible symplectic automorphisms on tori of any dimension.
description: 46 pages. Fixed an error in the proof of Claim 6.1
The role of $Δ^{++*}(1620)$ resonances in $pp \to nK^+Σ^+$ reaction and its important implications
Creators: name: Xie, J. J.
name: Zou, B. S.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The $pp \to nK^+Σ^+$ reaction is a very good isospin 3/2 filter for studying $Δ^{++*}$ decaying to $K^+Σ^+$. With an effective Lagrangian approach, contributions from a previous ignored sub-$K^+Σ^+$-threshold resonance $Δ^{++*}(1620)1/2^-$ are fully included in addition to those already considered in previous calculations. It is found that the $Δ^{++*}(1620)1/2^-$ resonance gives an overwhelmingly dominant contribution for energies very close to threshold, with a very important contribution from the t-channel $ρ$ exchange. This solves the problem that all previous calculations seriously underestimate the near-threshold cross section by order(s) of magnitude. Many important implications of the results are discussed.
description: 11 pages, 3 figures
Gravitational Microlensing Influence on X-ray Radiation from Accretion Disk of Active Galaxies
Creators: name: Jovanovic, Predrag
Publisher: name: arXiv
Year: 2006
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: Gravitational microlensing is a very useful tool for investigating the innermost part of lensed quasars, especially for studying a relativistic accretion disk around a massive black hole (BH) supposed to exist in a quasar's center. Here we present a short overview of our recent investigations in this field.
description: Ph.D. dissertation summary, 6 pages, 2 figures, accepted for publishing in Publications of the Astronomical Society of the Pacific
Right-chiral sneutrinos and long-lived staus: event characteristics at the Large Hadron Collider
Creators: name: Gupta, Sudhir Kumar
name: Mukhopadhyaya, Biswarup
name: Rai, Santosh Kumar
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We investigate the signals of a supersymmetric scenario where the lighter tau-sneutrino is the lightest supersymmetric particle, while the lighter stau-state is the next lightest. We confirm that such a scenario can be motivated within the framework of minimal supergravity, with just the addition of a right-chiral neutrino superfield. Such a spectrum leads to rather unusual signals of supersymmetry, showing stable tracks of the stau in the muon chambers. We have studied two types of signals, namely, (a) two or more hard jets and two stau tracks, and (b) hard jets with two muons and two stau tracks. We demonstrate that the stau tracks can be distinguished from the muonic ones through proper kinematic cuts which also enable one to remove all standard model backgrounds.
description: Latex2E, 18 pages, 8 eps figures included (To appear in Phys.Rev. D)
ICAM-1 interactions in immune response
Creators: name: Smith, Carol Anne
Publisher: name: University of British Columbia
Year: 2009

description: Intercellular adhesion molecule-1 (ICAM-1, CD54) and its interactions with LFA-1 and Mac-1 are critical for the proper functioning of our immune system. In addition to these associations, other molecules such as a-actinin of the actin cytoskeleton, and a sialoglycoprotein, CD43, have been suggested to bind human ICAM-1 but the precise nature of these interactions and their physiological significance are not known. This thesis has examined the possible associations of ICAM-1 with these later two molecules, in the murine system, to further elucidate the mechanisms responsible for the upregulation of ICAM-1 adhesion during inflammatory and immune responses. Punctate distribution of ICAM-1 on the surface of fibroblasts suggested the association of ICAM-1 with cytoskeletal components. However, detergent extraction of cell lines expressing endogenous ICAM-1, as well as those transfected with truncated ICAM-1 lacking the cytoplasmic domain or recombinant ICAM-1 anchored by glycdsyl-phosphatidyl inositol, suggested there is very little or no association of ICAM-1 with the cytoskeleton. In all cases, ICAM-1 was completely soluble. To determine if ICAM-1 associated with another molecule which in turn associated with the cytoskeleton, chemical cross-linking studies were performed. In Western blot analysis, a band of approximately 200 KD was observed which suggests ICAM-1 may self associate in a fibroblast and T cell hybridoma cell line. It was concluded that murine ICAM-1 does not associate with the cytoskeleton in the cell types tested and that there must be some other underlying mechanism responsible for the punctate distribution of ICAM-1 on fibroblasts. Whether this affects cell adhesion remains to be determined. The report demonstrating the binding of human ICAM-1 to a leukocyte sialoglycoprotein, CD43, lead to further investigation of this interaction in the murine system in this thesis. Fibroblasts transfected with murine CD43 were unable to adhere to soluble immobilized ICAM-1 in an adhesion assay. As well, soluble ICAM-1 coated microspheres were unable to bind to CD43+ fibroblasts. The results of these studies conclude murine CD43 interaction with ICAM-1 can not be detected by these conventional methods and thus bring into question the original reports on CD43/ICAM-1 interaction. A new model system was established in an attempt to detect a more sensitive interaction that may not withstand an adhesion assay. This system utilized cell death via the cross-linking of an ICAM-1/Fas chimeric molecule as a read out for an association. Although this system was unable to determine whether CD43 and ICAM-1 interact, it did suggest that LFA-1/ICAM-1 interaction may be one of monovalency. This however, requires further investigation.
Heat-transfer fingerprint of Josephson breathers
Creators: name: De Santis, Duilio
name: Spagnolo, Bernardo
name: Carollo, Angelo
name: Valenti, Davide
name: Guarcello, Claudio
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Physical sciences

description: A sine-Gordon breather enhances the heat transfer in a thermally biased long Josephson junction. This solitonic channel allows for the tailoring of the local temperature throughout the system. Furthermore, the phenomenon implies a clear thermal fingerprint for the breather, and thus a 'non-destructive' breather detection strategy is proposed here. Distinct breathing frequencies result in morphologically different local temperature peaks, which can be identified in an experiment.
description: 8 pages, 5 figures
Towards a Scalable Hierarchical High-order CFD Solver
Creators: name: Xu, Zan
name: Cambier, Léopold
name: Alonso, Juan J.
name: Darve, Eric
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Development of highly scalable and robust algorithms for large-scale CFD simulations has been identified as one of the key ingredients to achieve NASA's CFD Vision 2030 goals. In order to improve simulation capability and to effectively leverage new high-performance computing hardware, the most computationally intensive parts of CFD solution algorithms -- namely, linear solvers and preconditioners -- need to achieve asymptotic behavior on massively parallel and heterogeneous architectures and preserve convergence rates as the meshes are refined further. In this work, we present a scalable high-order implicit Discontinuous Galerkin solver from the SU2 framework using a promising preconditioning technique based on algebraic sparsified nested dissection algorithm with low-rank approximations, and communication-avoiding Krylov subspace methods to enable scalability with very large processor counts. The overall approach is tested on a canonical 2D NACA0012 test case of increasing size to demonstrate its scalability on multiple processing cores. Both the preconditioner and the linear solver are shown to exhibit near-linear weak scaling up to 2,048 cores with no significant degradation of the convergence rate.
description: 14 pages, 7 figures
Refined Topological Vertex, Cylindric Partitions and the U(1) Adjoint Theory
Creators: name: Iqbal, Amer
name: Kozcaz, Can
name: Shabbir, Khurram
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the partition function of the compactified 5D U(1) gauge theory (in the Omega-background) with a single adjoint hypermultiplet, calculated using the refined topological vertex. We show that this partition function is an example a periodic Schur process and is a refinement of the generating function of cylindric plane partitions. The size of the cylinder is given by the mass of adjoint hypermultiplet and the parameters of the Omega-background. We also show that this partition function can be written as a trace of operators which are generalizations of vertex operators studied by Carlsson and Okounkov. In the last part of the paper we describe a way to obtain (q,t) identities using the refined topological vertex.
description: 40 Pages
Description of $^7$Be and $^7$Li within the Gamow Shell Model
Creators: name: Fernandez, J. P. Linares
name: Michel, N.
name: Płoszajczak, M.
name: Mercenne, A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: $^7$Li and $^7$Be play an important role in Big Bang nucleosynthesis and nuclear astrophysics. The $^3$H($^4$He,$γ$)$^7$Li radiative capture reaction is crucial for the determination of the primordial $^7$Li abundance. In nuclear astrophysics, lithium isotopes have attracted a great interest because of the puzzled abundance of $^6$Li and $^7$Li.
 Purpose: In this work we study spectra of $^7$Be, $^7$Li and elastic scattering cross sections $^4$He($^3$He, $^3$He), $^4$He($^3$H, $^3$H) within the Gamow shell model (GSM) in the coupled-channel formulation (GSM-CC). The evolution of channel amplitudes and spectroscopic factors in the vicinity of the channel threshold is studied for selected states.
 Methods: GSM provides the open quantum system formulation of nuclear shell model. In the representation of GSM-CC, GSM provides the unified theory of nuclear structure and reactions which is suited for the study of resonances in $^7$Be, $^7$Li and elastic scattering cross-sections involving $^3$H and $^3$He projectiles.
 Results: The GSM-CC in multi-mass partition formulation applied to a translationally invariant Hamiltonian with an effective finite-range two-body interaction reproduce well the spectra of $^7$Be, $^7$Li and elastic scattering reactions: $^4$He($^3$He, $^3$He), $^4$He($^3$H, $^3$H). Detailed analysis of the dependence of reaction channel amplitudes and spectroscopic factors on the distance from the particle decay threshold allowed to demonstrate the alignment of the wave function in the vicinity of the decay threshold. This analysis also demonstrates the appearance of clustering in the GSM-CC wave function in the vicinity of the cluster decay threshold.
description: 17 pages, 12 figures
การอพยพผู้ประสบภัยน้ำท่วม : ประเด็นการบาดเจ็บระบบกระดูกและกล้ามเนื้อ ของผู้ช่วยเหลือ
Creators: name: ธีรพันธ์ แก้วดอก
Publisher: name: กองนวัตกรรมและวิจัย กรมควบคุมโรค
Year: 2561
Subjects: ท่าทางการยกเคลื่อนย้ายคนด้วยแรงกาย
น้ำท่วม
การยศาสตร์

description: วารสารควบคุมโรค, 44, 2, 122-129
Lense-Thirring precession and modified gravity constraints
Creators: name: Stepanian, A.
name: Khlghatyan, Sh.
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The orbital Lense-Thirring precession is considered in the context of constraints for weak-field General Relativity involving the cosmological constant $Λ$. It is shown that according to the current accuracy of satellite measurements the obtained error limits for $Λ$ is self-consistent with cosmological observations. The corrections of $Λ$ term are derived for the strong field Lense-Thirring precession i.e. the frame dragging effect and for the nutation. As a result, in the context of recently proposed $Λ$-gravity we obtain constraints for $Λ$ in both relativistic and weak-field limits. Namely, for the latter we analyze several Keplerian systems at different scales. We find that the obtained constraints for the modified gravity corrections are several orders of magnitude tighter than those available for such effects as gravitational redshift, gravitational time delay and geodetic precession in Solar System.
description: 6 pages, 8 tables, Eur.Phys.J Plus (in press)
Quantum State Tomography for Matrix Product Density Operators
Creators: name: Qin, Zhen
name: Jameson, Casey
name: Gong, Zhexuan
name: Wakin, Michael B.
name: Zhu, Zhihui
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Information Theory (cs.IT)
subject: Signal Processing (eess.SP)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The reconstruction of quantum states from experimental measurements, often achieved using quantum state tomography (QST), is crucial for the verification and benchmarking of quantum devices. However, performing QST for a generic unstructured quantum state requires an enormous number of state copies that grows \emph{exponentially} with the number of individual quanta in the system, even for the most optimal measurement settings. Fortunately, many physical quantum states, such as states generated by noisy, intermediate-scale quantum computers, are usually structured. In one dimension, such states are expected to be well approximated by matrix product operators (MPOs) with a finite matrix/bond dimension independent of the number of qubits, therefore enabling efficient state representation. Nevertheless, it is still unclear whether efficient QST can be performed for these states in general.
 In this paper, we attempt to bridge this gap and establish theoretical guarantees for the stable recovery of MPOs using tools from compressive sensing and the theory of empirical processes. We begin by studying two types of random measurement settings: Gaussian measurements and Haar random rank-one Positive Operator Valued Measures (POVMs). We show that the information contained in an MPO with a finite bond dimension can be preserved using a number of random measurements that depends only \emph{linearly} on the number of qubits, assuming no statistical error of the measurements. We then study MPO-based QST with physical quantum measurements through Haar random rank-one POVMs that can be implemented on quantum computers. We prove that only a \emph{polynomial} number of state copies in the number of qubits is required to guarantee bounded recovery error of an MPO state.
Quantum Fluctuation Theorem for Arbitrary Measurement and Feedback Schemes
Creators: name: Prech, Kacper
name: Potts, Patrick P.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Fluctuation theorems and the second law of thermodynamics are powerful relations constraining the behavior of out-of-equilibrium systems. While there exist generalizations of these relations to feedback controlled quantum systems, their applicability is limited, in particular when considering strong and continuous measurements. In this letter, we overcome this shortcoming by deriving a novel fluctuation theorem, and the associated second law of information thermodynamics, which remain applicable in arbitrary feedback control scenarios. In our second law, the entropy production is bounded by the coarse-grained entropy production which is inferrable from the measurement outcomes, an experimentally accessible quantity that does not diverge even under strong continuous measurements. We illustrate our results by a qubit undergoing discrete and continuous measurement, where our approach provides a useful bound on the entropy production for all measurement strengths.
Ultra-Wideband Radar and Wireless Human Sensing
Creators: name: Sakamoto, Takuya
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This study presents the progress of our recent research regarding wireless measurements of the human body. First, we explain radar imaging algorithms for screening passengers at security checkpoints that can process data faster than existing algorithms to generate accurate and high-resolution images of human bodies. Second, we introduce signal processing techniques for accurately measuring radar micro-Doppler signals associated with human motions and activities. Finally, we present radar signal processing algorithms for measuring human respiration, heartbeat, and other types of motion. Such algorithms can be applied in various fields including healthcare, security, biometric identification, and man-machine interfaces. These fields have one thing in common: prior knowledge about the human shape, motion, and physiology are effectively exploited to improve performance by optimizing the radar systems and signal processing algorithms.
description: 9 pages and 13 figures
Noise-induced, ac-stabilized sine-Gordon breathers: Emergence and statistics
Creators: name: De Santis, Duilio
name: Guarcello, Claudio
name: Spagnolo, Bernardo
name: Carollo, Angelo
name: Valenti, Davide
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Physical sciences

description: Noisy and ac forcing can cooperatively lead to the emergence of sine-Gordon breathers robust to dissipation. This phenomenon is studied, for both Neumann and periodic boundary conditions (NBC and PBC, respectively), at different values of the main system parameters, such as the noise intensity and the ac frequency-amplitude pair. In all the considered cases, nonmonotonicities of the probability of generating only breathers versus the noise strength are observed, implying that optimal noise ranges for the breather formation process exist. Within the latter scenarios, the statistics of the breathers' number, position, and amplitude are analyzed. The number of breathers is found to grow, on average, with the noise amplitude. The breathers' spatial distribution is sharply peaked at the system's edges for NBC, whereas it is essentially uniform for PBC. The average breather amplitude is dictated by the ac frequency-amplitude pair. Finally, a size analysis shows that the minimum system length for the generation mechanism is given by the typical breather half-width (width) in NBC (PBC).
description: 18 pages, 7 figures
Chiral Symmetry Restoration in Anisotropic QED(3)
Creators: name: Thomas, Iorwerth Owain
name: Hands, Simon
Publisher: name: arXiv
Year: 2006
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We present results from a Monte Carlo simulation of non-compact lattice QED in 3 dimensions in which an explicit anisotropy $κ$ between $x$ and $y$ hopping terms has been introduced into the action. Using a parameter set corresponding to broken chiral symmetry in the isotropic limit $κ=1$, we study the chiral condensate on $16^3$, $20^3$, and $24^3$ lattices as $κ$ is varied, and fit the data to an equation of state which incorporates anisotropic volume corrections. The value $κ_c$ at which chiral symmetry ispparently restored is strongly volume-dependent, suggesting that the transition may be a crossover rather than a true phase transition. In addition we present results on $16^3$ lattices for the scalar meson propagator, and for the Landau gauge-fixed fermion propagator. The scalar mass approaches the pion mass at large $κ$, consistent with chiral symmetry restoration, but the fermion remains massive at all values of $κ$ studied, suggesting that strong infra-red fluctuations persist into the chirally symmetric regime. Implications for models of high-$T_c$ superconductivity based on anisotropic QED$_3$ are discussed.
description: 39 pages, 17 figures, submitted to Phys Rev B
Bengali Abstractive News Summarization(BANS): A Neural Attention Approach
Creators: name: Bhattacharjee, Prithwiraj
name: Mallick, Avi
name: Islam, Md Saiful
name: Marium-E-Jannat
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Abstractive summarization is the process of generating novel sentences based on the information extracted from the original text document while retaining the context. Due to abstractive summarization's underlying complexities, most of the past research work has been done on the extractive summarization approach. Nevertheless, with the triumph of the sequence-to-sequence (seq2seq) model, abstractive summarization becomes more viable. Although a significant number of notable research has been done in the English language based on abstractive summarization, only a couple of works have been done on Bengali abstractive news summarization (BANS). In this article, we presented a seq2seq based Long Short-Term Memory (LSTM) network model with attention at encoder-decoder. Our proposed system deploys a local attention-based model that produces a long sequence of words with lucid and human-like generated sentences with noteworthy information of the original document. We also prepared a dataset of more than 19k articles and corresponding human-written summaries collected from bangla.bdnews24.com1 which is till now the most extensive dataset for Bengali news document summarization and publicly published in Kaggle2. We evaluated our model qualitatively and quantitatively and compared it with other published results. It showed significant improvement in terms of human evaluation scores with state-of-the-art approaches for BANS.
description: 10 Pages, 2 figures, 4 tables, 2nd International Conference on Trends in Computational and Cognitive Engineering(TCCE-2020)
Scattering Spectra Models for Physics
Creators: name: Cheng, Sihao
name: Morel, Rudy
name: Allys, Erwan
name: Ménard, Brice
name: Mallat, Stéphane
Publisher: name: arXiv
Year: 2023
Subjects: subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Physicists routinely need probabilistic models for a number of tasks such as parameter inference or the generation of new realizations of a field. Establishing such models for highly non-Gaussian fields is a challenge, especially when the number of samples is limited. In this paper, we introduce scattering spectra models for stationary fields and we show that they provide accurate and robust statistical descriptions of a wide range of fields encountered in physics. These models are based on covariances of scattering coefficients, i.e. wavelet decomposition of a field coupled with a point-wise modulus. After introducing useful dimension reductions taking advantage of the regularity of a field under rotation and scaling, we validate these models on various multi-scale physical fields and demonstrate that they reproduce standard statistics, including spatial moments up to 4th order. These scattering spectra provide us with a low-dimensional structured representation that captures key properties encountered in a wide range of physical fields. These generic models can be used for data exploration, classification, parameter inference, symmetry detection, and component separation.
description: 11 pages, 6 figures, plus appendices, updated to published version
VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map
Creators: name: Kerkech, Mohamed
name: Hafiane, Adel
name: Canals, Raphael
Publisher: name: arXiv
Year: 2020
Subjects: subject: Image and Video Processing (eess.IV)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Early detection of vine disease is important to avoid spread of virus or fungi. Disease propagation can lead to a huge loss of grape production and disastrous economic consequences, therefore the problem represents a challenge for the precision farming. In this paper, we present a new system for vine disease detection. The article contains two contributions: the first one is an automatic orthophotos registration method from multispectral images acquired with an unmanned aerial vehicle (UAV). The second one is a new deep learning architecture called VddNet (Vine Disease Detection Network). The proposed architecture is assessed by comparing it with the most known architectures: SegNet, U-Net, DeepLabv3+ and PSPNet. The deep learning architectures were trained on multispectral data and depth map information. The results of the proposed architecture show that the VddNet architecture achieves higher scores than the base line methods. Moreover, this study demonstrates that the proposed system has many advantages compared to methods that directly use the UAV images.
Optimal $(2,δ)$ Locally Repairable Codes via Punctured Simplex Codes
Creators: name: Gao, Yuan
name: Fang, Weijun
name: Xu, Jingke
name: Wang, Dong
name: Hu, Sihuang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences
subject: 94B60, 11T71

description: Locally repairable codes (LRCs) have attracted a lot of attention due to their applications in distributed storage systems. In this paper, we provide new constructions of optimal $(2, δ)$-LRCs over $\mathbb{F}_q$ with flexible parameters. Firstly, employing techniques from finite geometry, we introduce a simple yet useful condition to ensure that a punctured simplex code becomes a $(2, δ)$-LRC. It is worth noting that this condition only imposes a requirement on the size of the puncturing set. Secondly, utilizing character sums over finite fields and Krawtchouk polynomials, we determine the parameters of more punctured simplex codes with puncturing sets of new structures. Several infinite families of LRCs with new parameters are derived. All of our new LRCs are optimal with respect to the generalized Cadambe-Mazumdar bound and some of them are also Griesmer codes or distance-optimal codes.
Nonequilibrium characteristics in all-superconducting tunnel structures
Creators: name: Laakso, M. A.
name: Virtanen, P.
name: Giazotto, F.
name: Heikkila, T. T.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We study the nonequilibrium characteristics of superconducting tunnel structures in the case when one of the superconductors is a small island confined between large superconductors. The state of this island can be probed for example via the supercurrent flowing through it. We study both the far-from-equilibrium limit when the rate of injection for the electrons into the island exceeds the energy relaxation inside it, and the quasiequilibrium limit when the electrons equilibrate between themselves. We also address the crossover between these limits employing the collision integral derived for the superconducting case. The clearest signatures of the nonequilibrium limit are the anomalous heating effects seen as a supercurrent suppression at low voltages, and the hysteresis at voltages close to the gap edge $2Δ/e$, resulting from the peculiar form of the nonequilibrium distribution function.
description: 8 pages, 10 figures
Immune response in tuberculosis-SARS-CoV-2 coinfection_ Scoping review.docx
Creators: name: Flores Lovon, Kevin Alexis
name: Ortiz-Saavedra, Brando
name: Quispe Cueva, Luis Alonso
name: Montes-Madariaga, Elizbet Susan
name: Aperrigue Lira, Shalom Temis
name: Soriano-Moreno, David R.
name: Villanueva-Villegas, Renzo
Publisher: name: figshare
Year: 2021
Subjects: subject: 110702 Applied Immunology (incl. Antibody Engineering, Xenotransplantation and T-cell Therapies)
subject: FOS: Clinical medicine
subject: Biomarkers
subject: 110704 Cellular Immunology
subject: 110707 Innate Immunity

description: This scoping review examines the immune response in tuberculosis and SARS-CoV-2
Patterns of nest predation and nest predator abundance in a fragmented englemann spruce/subalpine fir forest
Creators: name: Campbell, Victoria Elizabeth Anne
Publisher: name: University of British Columbia
Year: 2009

description: In a fragmented Englemann Spruce/Subalpine Fir (ESSF) forest, I used artificial nests to test the hypothesis that nest predation is greater at the forest edge and in clearcuts, than in the forest interior. In this forest type, nests in clearcuts had a lower frequency of predation than nests in the forest, yet there was no consistent difference in the frequency of predation at the forest edge or in the forest interior, a pattern opposite to that previously documented. However, in previous studies the landscape was fragmented by agricultural development, where populations of potential nest predators may be elevated as a result of anthropogenic food sources. I found no evidence that the decrease in the frequency of predation on nests in clearcuts was the result of a concomitant shift in the identity (from plasticine eggs) and/or number of predators (from predator surveys) in these locations. Rather, in habitats fragmented by logging activities, many nest predators may avoid foraging in the clearcut because of the increased predation risk to themselves in these locations. In addition to the effect of nest location on predation rate, there was marked temporal variation in the frequency of nest predation. I documented an increase in nest predation both within and between trials; and this may have been a result of predators learning to exploit artificial nests. Studies which can identify individual predators, and record their foraging activity in response to artificial nests, may shed light on the mechanisms behind this temporal variation in nest predation. While artificial nests provide an index of predation risk, future use of this method must be cautioned against until the biases can be clearly identified. Further study of the patterns of nest predation in fragmented habitats should instead focus on the patterns of nest predation on natural nests, the distribution and abundance of potential nest predators in fragmented and undisturbed forest habitats, and on how nest predators forage within clearcut, forest edge, and in forest interior habitats.
Kauffman networks with threshold functions
Creators: name: Greil, Florian
name: Drossel, Barbara
Publisher: name: arXiv
Year: 2007
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We investigate Threshold Random Boolean Networks with $K = 2$ inputs per node, which are equivalent to Kauffman networks, with only part of the canalyzing functions as update functions. According to the simplest consideration these networks should be critical but it turns out that they show a rich variety of behaviors, including periodic and chaotic oscillations. The results are supported by analytical calculations and computer simulations.
description: 4 pages, submitted to PhysRev; http://www.edpsciences.org/10.1140/epjb/e2007-00161-0
Вице-президент Национальной академии правовых наук Наталья Кузнецова сфальсифицировала ученое звание сына
Creators: name: Angry Grin
name: Kuznietsova, Nataliia S.
name: Kot, Oleksii O.
Publisher: name: figshare
Year: 2021
Subjects: subject: 180121 Legal Practice, Lawyering and the Legal Profession
subject: FOS: Law
subject: 180124 Property Law (excl. Intellectual Property Law)
subject: 180107 Conflict of Laws (Private International Law)
subject: 180202 Te Maori Whakakaere Rauemi (Maori Resource Law)
subject: 180116 International Law (excl. International Trade Law)
subject: 180201 Nga Tikanga Maori (Maori Customary Law)
subject: Law
subject: 180204 Te Ture Whenua (Maori Land Law)
subject: 180111 Environmental and Natural Resources Law
subject: 180118 Labour Law
subject: 180125 Taxation Law
subject: 180101 Aboriginal and Torres Strait Islander Law
subject: 220204 History and Philosophy of Law and Justice
subject: FOS: Philosophy, ethics and religion
subject: 180103 Administrative Law
subject: 180126 Tort Law
subject: 180110 Criminal Law and Procedure
subject: 180199 Law not elsewhere classified
subject: 180108 Constitutional Law
subject: 180106 Comparative Law
subject: 180113 Family Law
subject: 180104 Civil Law and Procedure
subject: 180115 Intellectual Property Law
subject: 180114 Human Rights Law
subject: 180119 Law and Society
subject: 180117 International Trade Law
subject: 180109 Corporations and Associations Law
subject: 180105 Commercial and Contract Law
subject: 180112 Equity and Trusts Law
subject: 180299 Maori Law not elsewhere classified
subject: 189999 Law and Legal Studies not elsewhere classified

description: Вице-президент Национальной академии правовых наук Наталья Кузнецова сфальсифицировала ученое звание сына
Ранее Наталья Кузнецова пролоббировала вручение сыну премии имени Ярослава Мудрого. Награда получена за цикл научных трудов, к написанию которых Алексей Кот не имеет никакого отношения.

9 февраля состоялось заседание Аттестационной коллегии МОН Украины. Здесь утвердили заседания ученых советов университетов по всей стране. Приказом №1471 работнику им. академика Бурчака Национальной академии правовых наук Украины присвоено звание профессора в области «Право» Алексею Александровичу Коту.

Кот - родной сын вице-президента НАПрН, по совместительству руководителя Киевского регионального центра академии Натальи Кузнецовой. В добавок Кузнецова работает членом коллегии МОН, решением которой ее сын получил профессорское звание.

Операция «фальсификация»

Если разобраться: без помощи влиятельной мамы Алексей Кот не мог претендовать на должность профессора наук. Да, он закончил магистратуру, прошел аспирантуру, а следом - повышение квалификации. Он действительно преподаёт в НИИ право и работаем в КНУ. Параллельно с этим, Кот работает в адвокатуре партнером в фирме «Антика».
Больше информации на портале Антикор: https://antikor.com.ua/articles/441020-vitse-prezident_natsionaljnoj_akademii_pravovyh_nauk_nataljja_kuznetsova_sfaljsifitsirovala_uchenoe_zvanie_syna
Nylanderia wardi Kallal 2019, sp. nov.
Creators: name: Kallal, Robert J.
Publisher: name: Zenodo
Year: 2019
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Formicidae
Nylanderia
Nylanderia wardi

description: Nylanderia wardi, sp. nov.
Figs.97–99 (worker)
Holotype worker, CUBA: Holguin, 6 km S Yamanigüey, 20° 33’ N, 74° 44’W, 25 m, 23.viii.2001, P.S. Ward #14437- 23 (NMNH); 2 paratype workers same locality data as holotype (specimens are from the same nest as holotype); 3 paratype workers same locality data as holotype but different collecting code (P.S. Ward #14436) (NMNH & MCZC).
 Worker diagnosis: Larger brown to light brown species (HL: 0.6–0.72); SMC typically greater than 30 (measured range: 26–38); head in full-face view distinctly ovate with rounded posterolateral corners.
 Compare with: N. sierra, N. xestonota
 WORKER. Measurements (n=7): TL: 2.20–2.84; HW: 0.54–0.6; HL: 0.60–0.72; EL: 0.15–0.18; SL: 0.78–0.87; WL: 0.76–0.85; GL: 0.82–1.3; SMC: 26–38; PMC: 4–6; MMC: 3–4. Indices: CI: 83–90; REL: 24–25; SI: 141–152; SI2: 18–21.
 Head: Sides of head in full face view rounded and slightly convergent anteriad; posterolateral corners distinctly rounded; posterior margin straight; anterior clypeal margin emarginate; median ocellus present; eye well-developed. Mesosoma: in lateral view, pronotum convex; anterior margin of mesonotum raised slightly above posterior pronotal margin; metanotal area without short flat area before spiracle; dorsal face of propodeum slightly convex; dorsal face of propodeum lower than mesonotum in lateral view. Color and pilosity: color light brown to brownish-yellow; slightly darker dorsally; mesocoxae and metacoxae slightly lighter than the mesosoma; head generally without pubescence, except some sparse pubescence laterally and underneath eyes; mesosoma generally without pubescence, except some sparse pubescence on the mesonotum and a sparse fringe along dorsal face of propodeum; gastral tergites with abundant pubescence.
 Other material examined: CUBA: Santiago de Cuba: Parque Nacional Gran Piedra, near La Isabellica, 20.00700, -75.61900 +/- 150 m, 1115 m, 29 Jan 2012, R.S. Anderson # RSA 2012-013.
 Etymology: Named in honor of Philip S. Ward (University of California—Davis), who not only collected this species, but whose many superb contributions to myrmecology have greatly enriched the field.
 Notes: Workers of this species are very similar to N. sierra, but N. wardi is much larger and the declivity following the mesonotum to the metanotal area is distinctly longer in N. wardi. Additionally, N. wardi has much more scape macrosetae than N. sierra. There were individuals of N. sierra collected in sympatry with N. wardi and the morphological differences between the two species were maintained.
description: Published as part of Kallal, Robert J., 2019, Nylanderia of the World Part III: Nylanderia in the West Indies, pp. 401-451 in Zootaxa 4658 (3) on pages 441-442, DOI: 10.11646/zootaxa.4658.3.1, http://zenodo.org/record/3375930
Voting Data-Driven Regression Learning for Discovery of Functional Materials and Applications to Two-Dimensional Ferroelectric Materials
Creators: name: Ma, Xing-Yu
name: Lyu, Hou-Yi
name: Dong, Xue-Juan
name: Zhang, Zhen
name: Hao, Kuan-Rong
name: Yan, Qing-Bo
name: Su, Gang
Publisher: name: arXiv
Year: 2020
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Regression machine learning is widely applied to predict various materials. However, insufficient materials data usually leads to a poor performance. Here, we develop a new voting data-driven method that could generally improve the performance of regression learning model for accurately predicting properties of materials. We apply it to investigate a large family (2135) of two-dimensional hexagonal binary compounds focusing on ferroelectric properties and find that the performance of the model for electric polarization is indeed greatly improved, where 38 stable ferroelectrics with out-of-plane polarization including 31 metals and 7 semiconductors are screened out. By an unsupervised learning, actionable information such as how the number and orbital radius of valence electrons, ionic polarizability, and electronegativity of constituent atoms affect polarization was extracted. Our voting data-driven method not only reduces the size of materials data for constructing a reliable learning model but also enables to make precise predictions for targeted functional materials.
description: 22 pages, 5 figures
Kernel optimization for Low-Rank Multi-Fidelity Algorithms
Creators: name: Razi, Mani
name: Kirby, Robert M.
name: Narayan, Akil
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: One of the major challenges for low-rank multi-fidelity (MF) approaches is the assumption that low-fidelity (LF) and high-fidelity (HF) models admit "similar" low-rank kernel representations. Low-rank MF methods have traditionally attempted to exploit low-rank representations of linear kernels, which are kernel functions of the form $K(u,v) = v^T u$ for vectors $u$ and $v$. However, such linear kernels may not be able to capture low-rank behavior, and they may admit LF and HF kernels that are not similar. Such a situation renders a naive approach to low-rank MF procedures ineffective. In this paper, we propose a novel approach for the selection of a near-optimal kernel function for use in low-rank MF methods. The proposed framework is a two-step strategy wherein: (1) hyperparameters of a library of kernel functions are optimized, and (2) a particular combination of the optimized kernels is selected, through either a convex mixture (Additive Kernels) or through a data-driven optimization (Adaptive Kernels). The two resulting methods for this generalized framework both utilize only the available inexpensive low-fidelity data and thus no evaluation of high-fidelity simulation model is needed until a kernel is chosen. These proposed approaches are tested on five non-trivial problems including multi-fidelity surrogate modeling for one- and two-species molecular systems, gravitational many-body problem, associating polymer networks, plasmonic nano-particle arrays, and an incompressible flow in channels with stenosis. The results for these numerical experiments demonstrate the numerical stability efficiency of both proposed kernel function selection procedures, as well as high accuracy of their resultant predictive models for estimation of quantities of interest. Comparisons against standard linear kernel procedures also demonstrate increased accuracy of the optimized kernel approaches.
description: 22 pages, 13 figures