cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
Creators: name: Zhang, Rongzhi
name: Yu, Yue
name: Shetty, Pranav
name: Song, Le
name: Zhang, Chao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Weakly-supervised learning (WSL) has shown promising results in addressing label scarcity on many NLP tasks, but manually designing a comprehensive, high-quality labeling rule set is tedious and difficult. We study interactive weakly-supervised learning -- the problem of iteratively and automatically discovering novel labeling rules from data to improve the WSL model. Our proposed model, named PRBoost, achieves this goal via iterative prompt-based rule discovery and model boosting. It uses boosting to identify large-error instances and then discovers candidate rules from them by prompting pre-trained LMs with rule templates. The candidate rules are judged by human experts, and the accepted rules are used to generate complementary weak labels and strengthen the current model. Experiments on four tasks show PRBoost outperforms state-of-the-art WSL baselines up to 7.1% and bridges the gaps with fully supervised models. Our Implementation is available at \url{https://github.com/rz-zhang/PRBoost}.
description: ACL 2022 (Main Conference). Code: https://github.com/rz-zhang/PRBoost
Detecting multipartite entanglement via complete orthogonal basis
Creators: name: Zhao, Hui
name: Hao, Jia
name: Li, Jing
name: Fei, Shao-Ming
name: Jing, Naihuan
name: Wang, Zhi-Xi
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study genuine tripartite entanglement and multipartite entanglement in arbitrary $n$-partite quantum systems based on complete orthogonal basis (COB). While the usual Bloch representation of a density matrix uses three types of generators, the density matrix with COB operators has one uniformed type of generators which may simplify related computations. We take the advantage of this simplicity to derive useful and operational criteria to detect genuine tripartite entanglement and multipartite entanglement. We first convert the general states to simpler forms by using the relationship between general symmetric informationally complete measurements and COB. Then we derive an operational criteria to detect genuine tripartite entanglement. We study multipartite entanglement in arbitrary dimensional multipartite systems. By providing detailed examples, we demonstrate that our criteria can detect more genuine entangled and multipartite entangled states than the previously existing criteria.
The GALAH survey: Co-orbiting stars and chemical tagging
Creators: name: Simpson, Jeffrey D.
name: Martell, Sarah L.
name: Da Costa, Gary
name: Casey, Andrew R.
name: Freeman, Ken C.
name: Horner, Jonathan
name: Ting, Yuan-Sen
name: Nataf, David M.
name: Lewis, Geraint F.
name: Ness, Melissa K.
name: Zucker, Daniel B.
name: Cottrell, Peter L.
name: Čotar, Klemen
name: Asplund, Martin
name: Bland-Hawthorn, Joss
name: Buder, Sven
name: D'Orazi, Valentina
name: De Silva, Gayandhi M.
name: Duong, Ly
name: Kos, Janez
name: Lin, Jane
name: Lind, Karin
name: Schlesinger, Katharine J.
name: Sharma, Sanjib
name: Zwitter, Tomaž
name: Kafle, Prajwal R.
name: Nordlander, Thomas
Publisher: name: arXiv
Year: 2018
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We present a study using the second data release of the GALAH survey of stellar parameters and elemental abundances of 15 pairs of stars identified by Oh et al 2017. They identified these pairs as potentially co-moving pairs using proper motions and parallaxes from Gaia DR1. We find that 11 very wide (>1.7 pc) pairs of stars do in fact have similar Galactic orbits, while a further four claimed co-moving pairs are not truly co-orbiting. Eight of the 11 co-orbiting pairs have reliable stellar parameters and abundances, and we find that three of those are quite similar in their abundance patterns, while five have significant [Fe/H] differences. For the latter, this indicates that they could be co-orbiting because of the general dynamical coldness of the thin disc, or perhaps resonances induced by the Galaxy, rather than a shared formation site. Stars such as these, wide binaries, debris of past star formation episodes, and coincidental co-orbiters, are crucial for exploring the limits of chemical tagging in the Milky Way.
description: 14 pages, 9 figures, submitted to MNRAS. Updated for Gaia DR2 values
Deformation and singularities of maximal surfaces with planar curvature lines
Creators: name: Cho, Joseph
name: Ogata, Yuta
Publisher: name: arXiv
Year: 2018
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53A10, 57R45

description: Minimal surfaces with planar curvature lines in the Euclidean space have been studied since the late 19th century. On the other hand, the classification of maximal surfaces with planar curvature lines in the Lorentz-Minkowski space has only recently been given. In this paper, we use an alternative method not only to refine the classification of maximal surfaces with planar curvature lines, but also to show that there exists a deformation consisting exactly of all such surfaces. Furthermore, we investigate the types of singularities that occur on maximal surfaces with planar curvature lines. Finally, by considering the conjugate of maximal surfaces with planar curvature lines, we obtain analogous results for maximal surfaces that are also affine minimal surfaces.
description: 17 pages, 9 figures
Additional file 3 of Radiotherapy resistance driven by Asparagine endopeptidase through ATR pathway modulation in breast cancer
Creators: name: Morillo-Huesca, Macarena
name: G. López-Cepero, Ignacio
name: Conesa-Bakkali, Ryan
name: Tomé, Mercedes
name: Watts, Colin
name: Huertas, Pablo
name: Moreno-Bueno, Gema
name: Durán, Raúl V.
name: Martínez-Fábregas, Jonathan
Publisher: name: figshare
Year: 2025
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Hematology

description: Additional file 3. Supplementary Figure 3. AEP regulates the levels of some of the identified targets in human cancer cells. (A) Immunofluorescence showing the subcellular localization of AEP in HCT116 (n>100 cells), U2OS (n>160 cells), U87 (n>120 cells) and T98 (n>90 cells), alongside quantitation showing for each cell line the cytoplasmic (C) and nuclear (N) intensity, corrected using a sheep IgG antibody. (Size bar=6um). (B) Immunoblot showing the nuclear (N) and membrane/organelle (M/O) localization of AEP in HCT116, U2OS, U87 and T98 cells, including Lamp2 as a lysosomal membrane marker, Glb1 and CtsD as soluble lysosomal hydrolases and H3 as a nuclear marker. (C) Correlation analysis of the protein expression levels of some of the novel AEP targets identified in our proteomic analysis vs AEP in breast cancer patients using data obtained from the TCGA database. (D) Kaplan-Meier analyses of patients of different types of cancer (Colon adenocarcinoma with high microsatellite instability (COAD MSI-H), Glioblastoma (GBM), Head and Neck Squamous cell Carcinoma (HNSC), Uveal Melanoma (UVM), Pheochromocytoma and Paranglioma with Wnt-altered (PCPG), Stomach Adenocarcinoma (STAD) and Rectum Adenocarcinoma (READ)) expressing high (red line) or low (blue line) levels of AEP (upper panels) or ATR (lower panels). (E) Immunoblot showing the effect of MVO-mediated AEP inhibition in the levels of ATR in U2OS cells alongside quantitation. Data represents the average ± SD of three independent, biological replicas. (F) Proximity ligation assay (PLA) using anti-AEP and anti-ATR in control and AEP KD MDA-MB-231 cells.
Transient Melt Pool Response in Additive Manufacturing of Ti-6Al-4V
Creators: name: Fox, Jason Cho
Publisher: name: Carnegie Mellon University
Year: 2015
Subjects: subject: Mechanical Engineering
subject: FOS: Mechanical engineering

description: Additive manufacturing (AM) processes are candidates for manufacturing and repair in the aerospace industry. For process stability, control of melt pool dimensions is imperative. This can be achieved via feedback and/or feedforward control approaches; however, the time needed for a change in process variables (beam power and travel velocity) to translate into changes in melt pool dimensions is a critical concern. Prior works have determined the relationship between process variables and melt pool geometry, which can be monitored in situ for feedback control. In the current work, Ti-6Al-4V is studied as it is commonly used in aerospace applications due to its desirable properties. Melt pool depth response is determined in terms of response distance rather than response time in order to develop a relationship that is not dependent on the position or path taken in the Power-Velocity (P-V) Process Map, but instead on the initial and final melt pool geometry. Research is performed through finite element simulations run in the ABAQUS™ software package and validated by experiments performed at the NASA Langley Research Center on their Electron Beam Free Form Fabrication system and at Carnegie Mellon University on their Arcam system. The work presented investigates the transient melt pool response due to changes in process variables in steady state build geometries, as well as extending relationships to transient build geometries and other AM systems yielding a comprehensive understanding of melt pool response across all direct metal AM processes. These relationships will allow for the development of effective feedback and feedforward control systems.
The Petroglyphs of Black Mountain San Xavier Reservation, Arizona
Creators: name: Wallace, Henry D.
Publisher: name: Institute for American Research
Year: 1986
Subjects: subject: Tucson Basin
valueUri: https://core.tdar.org/browse/geographic-keyword/2758/tucson-basin
subject: Pima (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/7353/pima-county
subject: Arizona (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/79515/arizona-state-territory
subject: Protohistoric Period
valueUri: https://core.tdar.org/browse/temporal-keyword/161/protohistoric-period
subject: Late Rincon Phase
valueUri: https://core.tdar.org/browse/temporal-keyword/7602/late-rincon-phase
subject: Tanque Verde Phase
valueUri: https://core.tdar.org/browse/temporal-keyword/6021/tanque-verde-phase
subject: Historic Native American
valueUri: https://core.tdar.org/browse/culture-keyword/30/historic-native-american
subject: Huhugam
valueUri: https://core.tdar.org/browse/culture-keyword/8166/huhugam
subject: Historic
valueUri: https://core.tdar.org/browse/culture-keyword/25/historic
subject: AZ AA:16:12 (ASM)
valueUri: https://core.tdar.org/browse/site-name/83505/az-aa1612-asm
subject: AZ AA:16:137 (ASM)
valueUri: https://core.tdar.org/browse/site-name/109913/az-aa16137-asm
subject: Rock Art
valueUri: https://core.tdar.org/browse/site-type/361/rock-art
subject: Petroglyph
valueUri: https://core.tdar.org/browse/site-type/363/petroglyph
subject: Reconnaissance / Survey
valueUri: https://core.tdar.org/browse/investigation-type/7/reconnaissance-survey
subject: Records Search / Inventory Checking
valueUri: https://core.tdar.org/browse/investigation-type/8/records-search-inventory-checking
subject: Research Design / Data Recovery Plan
valueUri: https://core.tdar.org/browse/investigation-type/9/research-design-data-recovery-plan

description: During the portion of the San Xavier Survey which covered parts of Black Mountain, the petroglyphs reported by Fontana and others (1959) and Ferg (1979) were encountered, as were several new elements and localities. This report documents the petroglyphs found and provides limited interpretations of their significance, dating, and stylistic relationships to other petroglyphs in the Tucson area. Data gathered from the Black Mountain site (AA:16:12) contribute toward the development of a regional data base. The principal concerns of regional data base building are: evaluation of each site's regional and environmental context, its cultural and temporal affiliations, documentation of the numbers and kinds of design elements present, and an evaluation of cultural features which may be associated with the petroglyphs. Although some limited comparisons with other sites and areas are feasible at the present time, and enough data have been gathered to formulate several hypotheses concerning the cultural significance of some of the sites in the Tucson area (Ferg 1979; Wallace 1983), we are still primarily gathering descriptive data. As such, the report from this study will be more descriptive than interpretive.
Topological electronic states in holey graphyne
Creators: name: Jiang, Yong-Cheng
name: Kariyado, Toshikaze
name: Hu, Xiao
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We unveil that the holey graphyne (HGY), a two-dimensional carbon allotrope where benzene rings are connected by two $-$C$\equiv$C$-$ bonds fabricated recently in a bottom-up way, exhibits topological electronic states. Using first-principles calculations and Wannier tight-binding modeling, we discover a higher-order topological invariant associated with $C_2$ symmetry of the material, and show that the resultant corner modes appear in nanoflakes matching to the structure of precursor reported previously, which are ready for direct experimental observations. In addition, we find that a band inversion between emergent $g$-like and $h$-like orbitals gives rise to a nontrivial topology characterized by $\mathbb{Z}_2$ invariant protected by an energy gap as large as 0.52 eV, manifesting helical edge states mimicking those in the prominent quantum spin Hall effect, which can be accessed experimentally after hydrogenation in HGY. We hope these findings trigger interests towards exploring the topological electronic states in HGY and related future electronics applications.
description: 19+20 pages, 4+7 figures
The jet-disk symbiosis. II. Interpreting the Radio/UV correlations in quasars
Creators: name: Falcke, Heino
name: Malkan, Matthew A.
name: Biermann, Peter L.
Publisher: name: arXiv
Year: 1994
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We investigate the correlation between the accretion disk (UV) luminosity and the radio core emission of a quasar sample. In a radio/$L_{\rm disk}$ plot we find the quasars to be separated into four classes: core dominated quasars (CDQ), lobe dominated quasars (LDQ), radio-intermediate quasars (RIQ) and radio weak quasars. In general the radio core emission scales with the disk luminosity, especially in the radio weak quasars. This shows that radio and UV emission have a common energy source and that the difference between radio loud and radio weak is established already on the parsec scale. We investigate the possibility that radio jets are responsible for the radio core emission in radio loud and radio weak quasars. Comparing our data with a simple jet emission model that takes the limits imposed by energy and mass conservation in a coupled jet-disk system into account, we find that radio loud jets carry a total power $Q_{\rm jet}$ that is at least 1/3 of the observed disk luminosity $L_{\rm disk}$. For the electron population one is forced to postulate an efficient process producing a large number of pairs and/or injecting electrons with a distribution with low-energy cut-off around 50 MeV -- secondary pair production in hadronic cascades could be such a process. The bulk Lorentz factor of the jet is limited to a narrow region ($3\laγ_{\rm j}\la10$)). The radio emission of radio weak quasars can be explained with exactly the same parameters for a powerful relativistic jet if secondary pair production, as suggested for radio loud jets, is inhibited. There is evidence that RIQ are the relativistically boosted population of radio weak quasar jets. We can estimate the hidden disk luminosity of FR II galaxies and find that this is consistent with FRII being misdirected quasars.
description: Astron. & Astrophys., in press LaTeX, 8 PS-figures (hardcopy available on request)
Large-scale relativistic complete active space self-consistent field with robust convergence
Creators: name: Reynolds, Ryan D.
name: Yanai, Takeshi
name: Shiozaki, Toru
Publisher: name: arXiv
Year: 2018
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: We report an efficient algorithm using density fitting for the relativistic complete active space self-consistent field (CASSCF) method, which is significantly more stable than the algorithm previously reported by one of the authors [J. E. Bates and T. Shiozaki, J. Chem. Phys. 142, 044112 (2015)]. Our algorithm is based on the second-order orbital update scheme with an iterative augmented Hessian procedure, in which the density-fitted orbital Hessian is directly contracted to the trial vectors. Using this scheme, each microiteration is made less time consuming than one Dirac-Hartree-Fock iteration, and macroiterations converge quadratically. In addition, we show that the CASSCF calculations with the Gaunt and full Breit interactions can be efficiently performed by means of approximate orbital Hessians computed with the Dirac-Coulomb Hamiltonian. It is demonstrated that our algorithm can also be applied to systems under an external magnetic field, for which all of the molecular integrals are computed using gauge-including atomic orbitals.
Validity of the Eikonal Approximation
Creators: name: Kabat, Daniel
Publisher: name: arXiv
Year: 1992
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We summarize results on the reliability of the eikonal approximation in obtaining the high energy behavior of a two particle forward scattering amplitude. Reliability depends on the spin of the exchanged field. For scalar fields the eikonal fails at eighth order in perturbation theory, when it misses the leading behavior of the exchange-type diagrams. In a vector theory the eikonal gets the exchange diagrams correctly, but fails by ignoring certain non-exchange graphs which dominate the asymptotic behavior of the full amplitude. For spin--2 tensor fields the eikonal captures the leading behavior of each order in perturbation theory, but the sum of eikonal terms is subdominant to graphs neglected by the approximation. We also comment on the eikonal for Yang-Mills vector exchange, where the additional complexities of the non-abelian theory may be absorbed into Regge-type modifications of the gauge boson propagators.
description: 15 pages
Training Strategies for Time Series: Learning for Prediction, Filtering, and Reinforcement Learning
Creators: name: Venkatraman, Arun
Publisher: name: Carnegie Mellon University
Year: 2017
Subjects: subject: 80101 Adaptive Agents and Intelligent Robotics
subject: FOS: Computer and information sciences

description: Data driven approaches to modeling time-series are important in a variety of applications from market prediction in economics to the simulation of robotic systems. However, traditional supervised machine learning techniques designed for i.i.d. data often perform poorly on these sequential problems. This thesis proposes that time series and sequential prediction, whether for forecasting, filtering, or reinforcement learning, can be effectively achieved by directly training recurrent prediction procedures rather then building generative probabilistic models. To this end, we introduce a new training algorithm for learned time-series models, Data as Demonstrator (DaD), that theoretically and empirically improves multi-step prediction performance on model classes such as recurrent neural networks, kernel regressors, and random forests. Additionally, experimental results indicate that DaD can accelerate model-based reinforcement learning. We next show that latent-state time-series models, where a sufficient state parametrization may be unknown, can be learned effectively in a supervised way using predictive representations derived from observations alone. Our approach, Predictive State Inference Machines (PSIMs), directly optimizes { through a DaD-style training procedure { the inference performance without local optima by identifying the recurrent hidden state as a predictive belief over statistics of future observations. Finally, we experimentally demonstrate that augmenting recurrent neural network architectures with Predictive-State Decoders (Psds), derived using the same objective optimized by PSIMs, improves both the performance and convergence for recurrent networks on probabilistic filtering, imitation learning, and reinforcement learning tasks. Fundamental to our learning framework is that the prediction of observable quantities is a lingua franca for building AI systems.
Additional file 4 of Radiotherapy resistance driven by Asparagine endopeptidase through ATR pathway modulation in breast cancer
Creators: name: Morillo-Huesca, Macarena
name: G. López-Cepero, Ignacio
name: Conesa-Bakkali, Ryan
name: Tomé, Mercedes
name: Watts, Colin
name: Huertas, Pablo
name: Moreno-Bueno, Gema
name: Durán, Raúl V.
name: Martínez-Fábregas, Jonathan
Publisher: name: figshare
Year: 2025
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Hematology

description: Additional file 4. Supplementary Figure 4. Role of AEP in genotoxic tolerance in BC cells. (A) Schematic representation of the systems used to measure the efficiency of DNA repair by different DNA repair mechanisms: classical homologous recombination (DR-GFP), single-strand annealing (SA-GFP) and non-homologous end-joining (EJ5-GFP). (B) qPCR analyses of the mRNA expression levels of AEP and PPP1R10 in control (EV, empty vector) and AEP shRNA (left panel) or control (NT, non-targeting) and AEP siRNA KD (right panel) MDA-MB-231 cells. (C) Co-immunoprecipitation assay of WDR82 using anti-PPP1R10 in control and AEP KD MDA-MB-231 cells. In red box cropped, overexposed WDR82 immunoblot. (D) In vitro digestion of PPP1R10 using recombinant AEP at pH7.2 for 3 hours. (E) Cell death in control and AEP KD MDA-MB-231 after 48 hours irradiation using 0, 2, 5 or 10 Gy. (F) Cell death in non-transfected vs AEP overexpressing HCT116 cells after 24- or 48-hours irradiation with 0 or 5 Gy. * p<0.05, ns: no significant.
Fractional Quantum Hall Effect in n=0 Landau Band of Graphene with Chern Number Matrix
Creators: name: Kudo, Koji
name: Hatsugai, Yasuhiro
Publisher: name: arXiv
Year: 2018
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Fully taking into account of the honeycomb lattice structure, fractional quantum Hall states of graphene are considered by a pseudopotential projected into the n = 0 Landau band. By using a chirality as an internal degree of freedom, the Chern number matrices are defined and evaluated numerically. Quantum phase transition induced by changing a range of the interaction is demonstrated which is associated with chirality ferromagnetism. The chirality-unpolarized ground state is consistent with the Halperin 331 state of the bilayer quantum Hall system.
description: 4 pages, 2 figures
NORMAN-SLE (Suspect List Exchange) Update for NORMAN GA in Milan, Nov 2019
Creators: name: Schymanski, Emma
Publisher: name: Zenodo
Year: 2019
Subjects: Suspect Screening
Non-target Screening

description: A slide set to update NORMAN members of progress made on the NORMAN Suspect List Exchange (NORMAN-SLE) in 2019. To be presented by Jaroslav Slobodnik on my behalf.
Majorana Fermion Mean-Field Theories of Kitaev Quantum Spin Liquids
Creators: name: Saheli, Shahnam Ghanbari
name: Lin, Jennifer
name: Hu, Huanzhi
name: Krüger, Frank
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: We determine the phase diagrams of anisotropic Kitaev-Heisenberg models on the honeycomb lattice using parton mean-field theories based on different Majorana fermion representations of the $S=1/2$ spin operators. Firstly, we use a two-dimensional Jordan-Wigner transformation (JWT) involving a semi-infinite snake string operator. In order to ensure that the fermionized Hamiltonian remains local we consider the limit of extreme Ising exchange anisotropy in the Heisenberg sector. Secondly, we use the conventional Kitaev representation in terms of four Majorana fermions subject to local constraints, which we enforce through Lagrange multipliers. For both representations we self-consistently decouple the interaction terms in the bond and magnetization channels and determine the phase diagrams as a function of the anisotropy of the Kitaev couplings and the relative strength of the Ising exchange. While both mean-field theories produce identical phase boundaries for the topological phase transition between the gapless and gapped Kitaev quantum spin liquids, the JWT fails to correctly describe the the magnetic instability and finite-temperature behavior. Our results show that the magnetic phase transition is first order at low temperatures but becomes continuous above a certain temperature. At this energy scale we also observe a finite temperature crossover on the quantum spin-liquid side, from a fractionalized paramagnet at low temperatures, in which gapped flux excitations are frozen out, to a conventional paramagnet at high temperatures.
description: 11 pages, 8 figures, accepted version
Interoceptive robustness through environment-mediated morphological development
Creators: name: Kriegman, Sam
name: Cheney, Nick
name: Corucci, Francesco
name: Bongard, Josh C.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Neural and Evolutionary Computing (cs.NE)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Typically, AI researchers and roboticists try to realize intelligent behavior in machines by tuning parameters of a predefined structure (body plan and/or neural network architecture) using evolutionary or learning algorithms. Another but not unrelated longstanding property of these systems is their brittleness to slight aberrations, as highlighted by the growing deep learning literature on adversarial examples. Here we show robustness can be achieved by evolving the geometry of soft robots, their control systems, and how their material properties develop in response to one particular interoceptive stimulus (engineering stress) during their lifetimes. By doing so we realized robots that were equally fit but more robust to extreme material defects (such as might occur during fabrication or by damage thereafter) than robots that did not develop during their lifetimes, or developed in response to a different interoceptive stimulus (pressure). This suggests that the interplay between changes in the containing systems of agents (body plan and/or neural architecture) at different temporal scales (evolutionary and developmental) along different modalities (geometry, material properties, synaptic weights) and in response to different signals (interoceptive and external perception) all dictate those agents' abilities to evolve or learn capable and robust strategies.
Towards Scalable Analysis of Images and Videos
Creators: name: Zhao, Bin
Publisher: name: Carnegie Mellon University
Year: 2014
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: With widespread availability of low-cost devices capable of photo shooting and high-volume video recording, we are facing explosion of both image and video data. The sheer volume of such visual data poses both challenges and opportunities in machine learning and computer vision research. In image classification, most of previous research has focused on small to mediumscale data sets, containing objects from dozens of categories. However, we could easily access images spreading thousands of categories. Unfortunately, despite the well-known advantages and recent advancements of multi-class classification techniques in machine learning, complexity concerns have driven most research on such super large-scale data set back to simple methods such as nearest neighbor search, one-vs-one or one-vs-rest approach. However, facing image classification problem with such huge task space, it is no surprise that these classical algorithms, often favored for their simplicity, will be brought to their knees not only because of the training time and storage cost they incur, but also because of the conceptual awkwardness of such algorithms in massive multi-class paradigms. Therefore, it is our goal to directly address the bigness of image data, not only the large number of training images and high-dimensional image features, but also the large task space. Specifically, we present algorithms capable of efficiently and effectively training classifiers that could differentiate tens of thousands of image classes. Similar to images, one of the major difficulties in video analysis is also the huge amount of data, in the sense that videos could be hours long or even endless. However, it is often true that only a small portion of video contains important information. Consequently, algorithms that could automatically detect unusual events within streaming or archival video would significantly improve the efficiency of video analysis and save valuable human attention for only the most salient contents. Moreover, given lengthy recorded videos, such as those captured by digital cameras on mobile phones, or surveillance cameras, most users do not have the time or energy to edit the video such that only the most salient and interesting part of the original video is kept. To this end, we also develop algorithm for automatic video summarization, without human intervention. Finally, we further extend our research on video summarization into a supervised formulation, where users are asked to generate summaries for a subset of a class of videos of similar nature. Given such manually generated summaries, our algorithm learns the preferred storyline within the given class of videos, and automatically generates summaries for the rest of videos in the class, capturing the similar storyline as in those manually summarized videos.
Supplementary materials Tables 2-6: Ranking of each attribute and vulnerability of chondrichthyan fishes of the Eastern Tropical Pacific to climate change
Creators: name: Cerutti, Florencia
Publisher: name: Zenodo
Year: 2024

description: These tables are also as Supplementary Materials within the publication. They show the rankings of all species to each attribute and the overall vulnerability of chondrithyans to climate change in the ETP.
Traction Processes of Wheels in Loose, Granular Soil
Creators: name: Moreland, Scott J.
Publisher: name: Carnegie Mellon University
Year: 2013
Subjects: subject: Mechanical Engineering
subject: FOS: Mechanical engineering

description: This dissertation presents analyses of subsurface motions of soil beneath different traction devices and develops new explanations of traction processes of wheels operating in loose granular soil based on these observations. This dissertation shows how these findings are useful for the development of planetary rover mobility systems. Shear Interface Imaging Analysis (SIIA), is a new technique, developed as part of this thesis research. SIIA is employed for visualizing the effects of wheel operation on the soil beneath a rim, in richer detail than before possible. SIIA relies on high-speed imaging of sub-surface soil and on computer vision software to produce soil displacement fields, of high fidelity. The resulting data provides new insight and can reveal misconceptions about how wheels generate traction. Two comprehensive studies relying on SIIA are undertaken: the investigation of wheel grouser mechanics and the investigation of push-roll locomotion. Soil forward motion, at a wheel leading edge, is identified as a key behavior for the grousered wheels. As a result, an equation for grouser height/spacing relationship to achieve a higher performance grouser configuration is developed and validated. This expression relates grouser configuration to wheel parameters (wheel radius) and operational parameters (sinkage and slip). The soil mechanics behind Push-roll locomotion for high net traction and soft ground applications are presented. SIIA reveals that high thrust generated by push-roll locomotion is due to ground failure of the soil. Confirmation of the type of soil failure and of the application of operation in soft ground (where most vehicles would be embedded), brings forward the mobility gains of this non-typical locomotion mode and as a possible use for future planetary missions. Additionally, insight into fundamental traction processes such as thrust, sinkage and motion resistance, are discussed with experimental evidence from soil displacement fields. This research proves that accounting for soil motion is of the utmost importance for the understanding of traction in loose, granular soils. As a result of the specific technique utilized for directly studying soil motion, this research enables improved analysis and new design relevant to planetary rover mobility.
Total control over ultracold interactions via electric and magnetic fields
Creators: name: Marcelis, Bout
name: Verhaar, Boudewijn
name: Kokkelmans, Servaas
Publisher: name: arXiv
Year: 2007
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: The scattering length is commonly used to characterize the strength of ultracold atomic interactions, since it is the leading parameter in the low-energy expansion of the scattering phase shift. Its value can be modified via a magnetic field, by using a Feshbach resonance. However, the effective range term, which is the second parameter in the phase shift expansion, determines the width of the resonance and gives rise to important properties of ultracold gases. Independent control over this parameter is not possible by using a magnetic field only. We demonstrate that a combination of magnetic and electric fields can be used to get independent control over both parameters, which leads to full control over elastic ultracold interactions.
description: 4 pages, 3 figures
Polarization modes of gravitational waves in general modified gravity: General metric theory and general scalar-tensor theory
Creators: name: Dong, Yu-Qi
name: Liu, Yu-Qiang
name: Liu, Yu-Xiao
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In this paper, we establish a unified parameterized framework for analyzing the polarization modes of gravitational waves in the general metric theory (gravity is only described by the metric) and the general scalar-tensor theory (gravity is described by the metric and an additional scalar field). Specifically, we study the polarization modes of gravitational waves in the most general metric theory and general scalar-tensor theory that satisfy the following conditions: (1) Spacetime is four-dimensional; (2) The theory satisfies the principle of least action; (3) The theory is generally covariant; (4) The action describing a free particle is $\int ds$. We find that the polarization modes of gravitational waves in the theory satisfying the above conditions depends on the selection of parameters in the framework, and the theory allows for up to all six polarization modes. Once we have established our framework, the analysis of the polarization modes of gravitational waves in specific theories will depend on determining the corresponding parameters within our framework. In our analysis, we also find that the polarization modes of gravitational waves in the general metric theory and the general scalar-tensor theory that satisfy the conditions also have some interesting universal properties.
description: v3: 38 pages, 1 figure, 2 tables, typos corrected
RETURN To an Address of the Legislative Assembly for copies of all Orders in Council, or other documents or agreements, issued, entered into, or made, under the authority of the "Inscribed Stock Act, 1891," or the "British Columbia Loan Act, 1891," together with copies of all reports, correspondence, and telegrams received or sent by any member, or agent, or officer of the Government, in connection with the above Acts, or any transactions contemplated or accomplished in connection therewith, prior or subsequent to the passage by the Legislature of the abovementioned Statutes, or in connection with any loan contemplated since the year 1889.
Creators: name: British Columbia. Legislative Assembly
Publisher: name: Victoria, BC : Government Printer
Year: 2014

Abstract
Semi-inclusive two-nucleon emission in (anti) neutrino CC scattering within the relativistic mean field framework
Creators: name: Martinez-Consentino, V. L.
name: Cantizani, A. M.
name: Amaro, J. E.
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: This paper delves into the distribution of semi-inclusive events involving the emission of two nucleons in (anti) neutrino charged-current scattering. The analysis is conducted within the framework of relativistic mean field theory applied to nuclear matter. To quantify the likelihood of such semi-inclusive events occurring, we employ a relativistic model of meson-exchange currents that aligns with the 2p2h inclusive cross-section. The outcomes are presented in terms of one-fold and two-fold integrated semi-inclusive cross sections. To highlight disparities among the various emission channels, including proton-proton, neutron-proton, and neutron-neutron, we compare them against a purely phase-space isotropic distribution within the center of mass of the two nucleons. These comparisons reveal significant differences in the event distributions, shedding light on the distinctive characteristics of each channel.
description: 27 pages, 13 figures
Additional file 5 of Radiotherapy resistance driven by Asparagine endopeptidase through ATR pathway modulation in breast cancer
Creators: name: Morillo-Huesca, Macarena
name: G. López-Cepero, Ignacio
name: Conesa-Bakkali, Ryan
name: Tomé, Mercedes
name: Watts, Colin
name: Huertas, Pablo
name: Moreno-Bueno, Gema
name: Durán, Raúl V.
name: Martínez-Fábregas, Jonathan
Publisher: name: figshare
Year: 2025
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Hematology

description: Additional file 5. Supplementary Figure 5. AEP inhibition sensitizes cancer cells to genotoxic stress. (A) Heatmap showing the levels of protein (AEP and ATR) expressed in breast cancer patients dividing patients in four groups (AEPhigh/ATRlow; AEPlow/ATRhigh; AEPlow/ATRlow; AEPhigh/ ATRhigh). (B) Kaplan-Meier analysis in AEPlow/ATRlow (cyan dots) or AEPhigh/ATRhigh (red dots) breast cancer patients at the protein level. (C) Kaplan-Meier analysis in breast cancer patients expressing high ATR protein levels treated (red dots) or untreated (cyan dots) with radiation. (D) Kaplan-Meier analysis in breast cancer patients expressing high protein AEP levels treated (red dots) or untreated (cyan dots) with radiation. (E) Kaplan-Meier analysis in AEPlow/ATRlow breast cancer patients treated (red dots) or untreated (cyan dots) with radiation. (F) Dose response of cisplatin in U2OS cell in the presence (magenta bars) or absence of MVO (green bars). (G) Dose response of etoposide in U2OS cell in the presence (magenta bars) or absence of MVO (green bars). ns: no significant, * p < 0.05.
Dissipative delay range analysis of coupled differential-difference delay systems with distributed delays
Creators: name: Feng, Qian
name: Nguang, Sing Kiong
Publisher: name: arXiv
Year: 2018
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper proposes methods to handle the problem of delay range stability analysis for a linear coupled differential-difference system (CDDS) with distributed delays subject to dissipative constraints. The model of linear CDDS contains many models of linear delay systems as special cases. A novel Liapunov-Krasovskii functional with non-constant matrix parameters, which are related to the delay value polynomially, is applied to derive stability conditions. By constructing this new functional, sufficient conditions in terms of robust linear matrix inequalities (LMIs) can be derived, which guarantee range stability of a linear CDDS subject to dissipative constraints. To solve the resulting robust LMIs numerically, we apply the technique of sum of squares programming together with matrix relaxations without introducing any potential conservatism to the original robust LMIs. Furthermore, the proposed methods can be extended to solve delay margin estimation problems for a linear CDDS subject to prescribed dissipative constraints. Finally, numerical examples are presented to demonstrate the effectiveness of the proposed methodologies.
Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation
Creators: name: Baek, Jongbeom
name: Kim, Gyeongnyeon
name: Kim, Seungryong
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: We propose a semi-supervised learning framework for monocular depth estimation. Compared to existing semi-supervised learning methods, which inherit limitations of both sparse supervised and unsupervised loss functions, we achieve the complementary advantages of both loss functions, by building two separate network branches for each loss and distilling each other through the mutual distillation loss function. We also present to apply different data augmentation to each branch, which improves the robustness. We conduct experiments to demonstrate the effectiveness of our framework over the latest methods and provide extensive ablation studies.
P2P-NET: Bidirectional Point Displacement Net for Shape Transform
Creators: name: Yin, Kangxue
name: Huang, Hui
name: Cohen-Or, Daniel
name: Zhang, Hao
Publisher: name: arXiv
Year: 2018
Subjects: subject: Graphics (cs.GR)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: We introduce P2P-NET, a general-purpose deep neural network which learns geometric transformations between point-based shape representations from two domains, e.g., meso-skeletons and surfaces, partial and complete scans, etc. The architecture of the P2P-NET is that of a bi-directional point displacement network, which transforms a source point set to a target point set with the same cardinality, and vice versa, by applying point-wise displacement vectors learned from data. P2P-NET is trained on paired shapes from the source and target domains, but without relying on point-to-point correspondences between the source and target point sets. The training loss combines two uni-directional geometric losses, each enforcing a shape-wise similarity between the predicted and the target point sets, and a cross-regularization term to encourage consistency between displacement vectors going in opposite directions. We develop and present several different applications enabled by our general-purpose bidirectional P2P-NET to highlight the effectiveness, versatility, and potential of our network in solving a variety of point-based shape transformation problems.
description: siggraph revision is done. 13 pages
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data
Creators: name: Chou, Yu-Cheng
name: Li, Bowen
name: Fan, Deng-Ping
name: Yuille, Alan
name: Zhou, Zongwei
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Creating large-scale and well-annotated datasets to train AI algorithms is crucial for automated tumor detection and localization. However, with limited resources, it is challenging to determine the best type of annotations when annotating massive amounts of unlabeled data. To address this issue, we focus on polyps in colonoscopy videos and pancreatic tumors in abdominal CT scans; both applications require significant effort and time for pixel-wise annotation due to the high dimensional nature of the data, involving either temporary or spatial dimensions. In this paper, we develop a new annotation strategy, termed Drag&Drop, which simplifies the annotation process to drag and drop. This annotation strategy is more efficient, particularly for temporal and volumetric imaging, than other types of weak annotations, such as per-pixel, bounding boxes, scribbles, ellipses, and points. Furthermore, to exploit our Drag&Drop annotations, we develop a novel weakly supervised learning method based on the watershed algorithm. Experimental results show that our method achieves better detection and localization performance than alternative weak annotations and, more importantly, achieves similar performance to that trained on detailed per-pixel annotations. Interestingly, we find that, with limited resources, allocating weak annotations from a diverse patient population can foster models more robust to unseen images than allocating per-pixel annotations for a small set of images. In summary, this research proposes an efficient annotation strategy for tumor detection and localization that is less accurate than per-pixel annotations but useful for creating large-scale datasets for screening tumors in various medical modalities.
description: Published in Machine Intelligence Research
Additional file 6 of Radiotherapy resistance driven by Asparagine endopeptidase through ATR pathway modulation in breast cancer
Creators: name: Morillo-Huesca, Macarena
name: G. López-Cepero, Ignacio
name: Conesa-Bakkali, Ryan
name: Tomé, Mercedes
name: Watts, Colin
name: Huertas, Pablo
name: Moreno-Bueno, Gema
name: Durán, Raúl V.
name: Martínez-Fábregas, Jonathan
Publisher: name: figshare
Year: 2025
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Hematology

description: Additional file 6. Supplementary Figure 6. Increased AEP/ATR levels in ductal invasive breast carcinoma non-responder patients. (A) Microscopy images (40x) of the immunohistochemical analysis of AEP expression in responder and non-responder invasive ductal breast carcinoma samples (Size bar = 40μm). (B) Nuclear AEP/ATR ratio obtained from responder (n=10, blue dots) and non-responder (n=10, red dots) invasive ductal breast carcinoma patients. Each dot represents the nuclear AEP/ATR ratio obtained for each ductal breast carcinoma cell (n>80 cells per patient). Two-way ANOVA was used to calculate the statistical significance between responder and non-responder groups. Red dotted line indicates a nuclear AEP/ATR ratio greater than 0.5.