cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
F*** workflows: when parts of FAIR are missing
Creators: name: Wilkinson, Sean R.
name: Eisenhauer, Greg
name: Kapadia, Anuj J.
name: Knight, Kathryn
name: Logan, Jeremy
name: Widener, Patrick
name: Wolf, Matthew
Publisher: name: arXiv
Year: 2022
Subjects: subject: Digital Libraries (cs.DL)
subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: The FAIR principles for scientific data (Findable, Accessible, Interoperable, Reusable) are also relevant to other digital objects such as research software and scientific workflows that operate on scientific data. The FAIR principles can be applied to the data being handled by a scientific workflow as well as the processes, software, and other infrastructure which are necessary to specify and execute a workflow. The FAIR principles were designed as guidelines, rather than rules, that would allow for differences in standards for different communities and for different degrees of compliance. There are many practical considerations which impact the level of FAIR-ness that can actually be achieved, including policies, traditions, and technologies. Because of these considerations, obstacles are often encountered during the workflow lifecycle that trace directly to shortcomings in the implementation of the FAIR principles. Here, we detail some cases, without naming names, in which data and workflows were Findable but otherwise lacking in areas commonly needed and expected by modern FAIR methods, tools, and users. We describe how some of these problems, all of which were overcome successfully, have motivated us to push on systems and approaches for fully FAIR workflows.
description: 6 pages, 0 figures, accepted to ERROR 2022 workshop (see https://error-workshop.org/ for more information), to be published in proceedings of IEEE eScience 2022
Strongly correlated exciton-polarons in twisted homo-bilayer heterostructures
Creators: name: Mazza, Giacomo
name: Amaricci, Adriano
Publisher: name: arXiv
Year: 2022
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We consider dressing of excitonic properties by strongly correlated electrons in gate controlled twisted homo-bilayer heterostructures. The combined effect of the moiré potential and the Coulomb interaction supports the formation of different strongly correlated phases depending on the filling, including charge-ordered metals or incompressible insulators at integer occupation. The coupling between excitons and electrons results in a splitting of the excitonic resonance into an attractive and a repulsive polaron peak. Analyzing the properties of the exciton-polarons across the different phases of the system, we reveal a discontinuous evolution of the spectrum with the formation of a double-peak structure in the repulsive polaron branch. The double-peak structure emerges for non-integer fillings and it is controlled by the energy separation between the quasi-particle states close to the Fermi level and the high-energy doublons excitations. Our results demonstrate that exciton-polarons carry a clear hallmark of the electronic correlations and, thus, provide a direct signature of the formation of correlation driven insulators in gate controlled heterostructures.
description: published version, 7 pages, 4 figures
Irreversible capacity investment under uncertainty: an application to Alberta's electrical generation industry
Creators: name: Orr, Robert W.
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: HD9685 .A2 O77 1998
subject: Electric utilities--Prices.
subject: Electric utilities - Costs
subject: Electric utilities--Deregulation.
subject: Electric power systems--Technological innovations.

description: Bibliography: p. 157-159
Modeling the Small-World Phenomenon with Road Networks
Creators: name: Goodrich, Michael T.
name: Ozel, Evrim
Publisher: name: arXiv
Year: 2022
Subjects: subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Computer and information sciences

description: Dating back to two famous experiments by the social-psychologist, Stanley Milgram, in the 1960s, the small-world phenomenon is the idea that all people are connected through a short chain of acquaintances that can be used to route messages. Many subsequent papers have attempted to model this phenomenon, with most concentrating on the "short chain" of acquaintances rather than their ability to efficiently route messages. In this paper, we study the small-world navigability of the U.S. road network, with the goal of providing a model that explains how messages in the original small-world experiments could be routed along short paths using U.S. roads. To this end, we introduce the Neighborhood Preferential Attachment model, which combines elements from Kleinberg's model and the Barabási-Albert model, such that long-range links are chosen according to both the degrees and (road-network) distances of vertices in the network. We empirically evaluate all three models by running a decentralized routing algorithm, where each vertex only has knowledge of its own neighbors, and find that our model outperforms both of these models in terms of the average hop length. Moreover, our experiments indicate that similar to the Barabási-Albert model, networks generated by our model are scale-free, which could be a more realistic representation of acquaintanceship links in the original small-world experiment.
The political power of place: a case study of political identity in prairie literature
Creators: name: Chorney, Noelle
Publisher: name: University of Calgary
Year: 1997
Subjects: subject: PS8191. P7 C46 1998
subject: Prairie Provinces in literature
subject: Prairies in literature
subject: Canadian fiction (English) - History and Criticism
subject: Alberta - In literature
subject: Saskatchewan - In literature

description: Bibliography: p. 97-99
description: UARC
Quantifying uncertainties in the high energy neutrino cross-section
Creators: name: Cooper-Sarkar, Amanda
name: Mertsch, Philipp
name: Sarkar, Subir
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We compare predictions for high energy neutrino and anti-neutrino deep inelastic scattering cross-sections within the conventional DGLAP formalism of next-to-leading order QCD, using the latest parton distribution functions such as CT10, HERAPDF1.5 and MSTW08 and taking account of PDF uncertainties. From this we derive a benchmark cross-section and uncertainty which is consistent with the results obtained earlier using the ZEUS-S PDFs. We advocate the use of this for analysing data from neutrino telescopes, in order to facilitate comparison between their results.
description: 4 pages, 4 figures; to appear in Proceedings of the 32nd International Cosmic Ray Conference, Beijing, China, 11-18 August 2011
Bootstrapping the Kronig-Penney Model
Creators: name: Blacker, Matthew J.
name: Bhattacharyya, Arpan
name: Banerjee, Aritra
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Recently, bootstrap methods from conformal field theory have been adapted for studying the energy spectrum of various quantum mechanical systems. In this paper, we consider the application of these methods in obtaining the spectrum from the Schrödinger equation with periodic potentials, paying particular attention to the Kronig-Penney model of a particle in a one-dimensional lattice. With an appropriate choice of operator basis involving position and momenta, we find that the bootstrap approach efficiently computes the band gaps of the energy spectrum but has trouble effectively constraining the minimum energy. We show how applying more complex constraints involving higher powers of momenta can potentially remedy such a problem. We also propose an approach for analytically constructing the dispersion relation associated with the Bloch momentum of the system.
description: 21 pages, 5 figures, typos corrected, version to appear in Physical Review D
Teaching genetic drift: new approaches to encourage non-deterministic thinking about evolution
Creators: name: Carlen, Elizabeth
name: Chacko, Xan
name: Chen, Nancy
name: Dietz, Zachary
name: Eppley, Madeline
name: Noh, Suegene
Publisher: name: QUBES Educational Resources
Year: 2025

description: This teaching module is designed to help undergraduate students dismantle preconceived notions about evolution and deepen their understanding of genetic drift as a non-deterministic evolutionary process. Students tend to enter introductory biology courses with the preconception that evolution is primarily the result of natural selection. Multiple studies have shown that students commonly retain this misconception after standard coursework in evolutionary biology. In our interdisciplinary module, we present activities, lecture slides, and additional resources to help students build intuition on the contribution of randomness and stochasticity in evolution, and dislodge and further prevent misguided beliefs in genetic determinism and essentialism. Our hands-on activities include those that engage with the scientific literature, computer simulations, Queer theory, and poetry. The major learning objectives of this module are for students to be able to describe the role of randomness and stochasticity in evolution, and to ultimately argue that genetic drift is always acting in biological populations.
From the Inner Circle to Rebuilding Social Networks: A Grounded Theory Longitudinal Study Exploring the Experience of Close Personal Relationships from the Perspective of People with Post Stroke Aphasia
Creators: name: Ford, Amy
name: Douglas, Jacinta
name: O'Halloran, Robyn
Publisher: name: La Trobe
Year: 2024
Subjects: classificationCode: 5204
subject: Cognitive and computational psychology
classificationCode: 3209
subject: Neurosciences
subject: FOS: Clinical medicine
classificationCode: 4201
subject: Allied health and rehabilitation science

description: Background: Interpersonal relationships are frequently subject to challenges and changes following the onset of aphasia and have strong ties with psychosocial and health outcomes. In order to be able to effectively support people with aphasia, a greater understanding of how challenges and changes evolve over time is needed. Aims: The current research sought to understand the lived experience of interpersonal relationships for people with aphasia through longitudinal enquiry over the first year following the onset of stroke. Methods and Procedures: Seven participants with aphasia (6 male, 1 female) with aphasia ranging from mild to severe were recruited through inpatient rehabilitation units. Four were married and three lived alone. They were interviewed on four occasions beginning around the time of their discharge home and lasting for around one year following their return home. Researchers adopted a constructivist grounded theory approach and data were transcribed, coded and analysed using a constant comparative method. Outcomes and Results: This research provides novel insights into the progression of interpersonal relationships over time following the onset of aphasia. Early on, participants retreated into a core group of close others characterised as their ‘inner circle’. During early stages, inner circle relationships were subject to challenges and changes as people learned to live with aphasia. As they felt ready, people with aphasia began to reconnect with friends. This process was often mediated by spouses and in the early phases of recovery was limited and challenging. Reconnection with friends brought with it varying degrees of connectedness, however for those without strong inner circle relationships, marked isolation occurred at all points throughout the year following discharge. Conclusions: Relationships are frequently impacted by the presence of aphasia and are subject to changes and challenges. This research highlights phases which people with aphasia may move through as they adjust to their new social worlds. These findings have clear implications for the development and timing of interventions and emphasise the need to support those most at risk.
The effects of oil price shocks on consumer prices and industrial production in the United States, Canada and Mexico
Creators: name: Jacyk, Christopher Michael
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: HD9560.6 J33 1998
subject: Petroleum industry and trade - Venezuela - Government policy
subject: Petroulem prices--North America.
subject: Energy policy--North America.

description: Bibliography: p. 149-153
The Great Eruption of Eta Carinae
Creators: name: Davidson, Kris
name: Humphreys, Roberta
Publisher: name: arXiv
Year: 2012
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: During the years 1838-1858, the very massive star η Carinae became the prototype supernova impostor: it released nearly as much light as a supernova explosion and shed an impressive amount of mass, but survived as a star.1 Based on a light-echo spectrum of that event, Rest et al.2 conclude that "a new physical mechanism" is required to explain it, because the gas outflow appears cooler than theoretical expectations. Here we note that (1) theory predicted a substantially lower temperature than they quoted, and (2) their inferred observational value is quite uncertain. Therefore, analyses so far do not reveal any significant contradiction between the observed spectrum and most previous discussions of the Great Eruption and its physics.
description: To appear in Nature, a brief communication arising in response to Rest et al. 2012. Submitted to Nature February 17, 2012
Ignorability in Statistical and Probabilistic Inference
Creators: name: Jaeger, M.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: When dealing with incomplete data in statistical learning, or incomplete observations in probabilistic inference, one needs to distinguish the fact that a certain event is observed from the fact that the observed event has happened. Since the modeling and computational complexities entailed by maintaining this proper distinction are often prohibitive, one asks for conditions under which it can be safely ignored. Such conditions are given by the missing at random (mar) and coarsened at random (car) assumptions. In this paper we provide an in-depth analysis of several questions relating to mar/car assumptions. Main purpose of our study is to provide criteria by which one may evaluate whether a car assumption is reasonable for a particular data collecting or observational process. This question is complicated by the fact that several distinct versions of mar/car assumptions exist. We therefore first provide an overview over these different versions, in which we highlight the distinction between distributional and coarsening variable induced versions. We show that distributional versions are less restrictive and sufficient for most applications. We then address from two different perspectives the question of when the mar/car assumption is warranted. First we provide a static analysis that characterizes the admissibility of the car assumption in terms of the support structure of the joint probability distribution of complete data and incomplete observations. Here we obtain an equivalence characterization that improves and extends a recent result by Grunwald and Halpern. We then turn to a procedural analysis that characterizes the admissibility of the car assumption in terms of procedural models for the actual data (or observation) generating process. The main result of this analysis is that the stronger coarsened completely at random (ccar) condition is arguably the most reasonable assumption, as it alone corresponds to data coarsening procedures that satisfy a natural robustness property.
Metapasta: Scalable Tool For Microbial Community Profiling
Creators: name: Kovach, Evdokim
name: Alekhin, Alexey
name: Manrique, Marina
name: Pareja-Tobes, Pablo
name: Pareja, Eduardo
name: Tobes, Raquel
name: Pareja-Tobes, Eduardo
Publisher: name: Zenodo
Year: 2015

description: The poster was presented at Exploring Human Host-Microbiome Interactions in Health Wellcome Trust Conference at 30.06.2015
Non-Hermitian skin effect edge
Creators: name: Zeng, Qi-Bo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Optics (physics.optics)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Non-Hermitian skin effect (NHSE) is a unique phenomenon studied intensively in non-Hermitian systems during the past few years. In this work, we discuss the energy dependence of NHSE by introducing nonreciprocity beyond the nearest-neighboring hopping in the one-dimensional lattices. The direction of NHSE reverses as the eigenenergy of the system under open boundary conditions (OBCs) sweeps across some critical energies. To characterize such a phenomenon, we introduce the concept of non-Hermitian skin effect edges, which separate the eigenstates localized at opposite ends of the lattice in the OBC spectrum. We find the skin effect edges are determined by the self-intersections in the spectrum under periodic boundary conditions (PBCs), which are topological as the winding number of the PBC spectrum changes sign when crossing them. Moreover, the NHSE edges will disappear when the self-intersections merge into a single point by tuning the system parameters. Our work reveals the intricate interplay between NHSE and nonreciprocal hopping in non-Hermitian systems.
description: 12 pages, including Appendix
MPEC 2023-W131 : 2017 NN6
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2023
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
AGILE Observations of Terrestrial Gamma-Ray Flashes
Creators: name: Marisaldi, M.
name: Fuschino, F.
name: Labanti, C.
name: Bulgarelli, A.
name: Gianotti, F.
name: Trifoglio, M.
name: Tavani, M.
name: Argan, A.
name: Del Monte, E.
name: Longo, F.
name: Barbiellini, G.
name: Giuliani, A.
name: Trois, A.
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The AGILE satellite, operating since mid 2007 and primarily devoted to high-energy astrophysics, is one of the only three currently operating space instruments capable of detecting Terrestrial Gamma-Ray Flashes (TGFs), together with RHESSI and $Fermi$-GBM. Thanks to the AGILE Mini-Calorimeter instrument energy range extended up to 100MeV and its flexible trigger logic on sub-millisecond time scales, AGILE is detecting more than 10 TGFs/month, adding a wealth of observations which pose severe constrains on production models. The main AGILE discoveries in TGF science during two and a half years of observations are the following: 1) the TGF spectrum extends well above 40 MeV, 2) the high energy tail of the TGF spectrum is harder than expected and cannot be easily explained by previous theoretical models, 3) TGFs can be localized from space using high-energy photons detected by the AGILE gamma-ray imaging detector. In this presentation we will describe the characteristics of the 2.5-years AGILE TGF sample, focusing on the recent results concerning the TGF high-energy spectral characteristics.
description: 6 pages, 3 figures, 2011 Fermi Symposium proceedings - eConf C110509
Ghost translation
Creators: name: Ren, Wenhan
name: Nie, Xiaoyu
name: Peng, Tao
name: Scully, Marlan O.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Optics (physics.optics)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Physical sciences

description: Artificial intelligence has recently been widely used in computational imaging. The deep neural network (DNN) improves the signal-to-noise ratio of the retrieved images, whose quality is otherwise corrupted due to the low sampling ratio or noisy environments. This work proposes a new computational imaging scheme based on the sequence transduction mechanism with the transformer network. The simulation database assists the network in achieving signal translation ability. The experimental single-pixel detector's signal will be `translated' into a 2D image in an end-to-end manner. High-quality images with no background noise can be retrieved at a sampling ratio as low as 2%. The illumination patterns can be either well-designed speckle patterns for sub-Nyquist imaging or random speckle patterns. Moreover, our method is robust to noise interference. This translation mechanism opens a new direction for DNN-assisted ghost imaging and can be used in various computational imaging scenarios.
description: 10 pages, 8 figures
Radiative Leptonic Decays of the charged $B$ and $D$ Mesons Including Long-Distance Contribution
Creators: name: Yang, Ji-Chong
name: Yang, Mao-Zhi
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In this work we study the radiative leptonic decays of $B^-$, $D^-$ and $D_s^-\to γl \barν$, including both the short-distance and long-distance contributions. The short-distance contribution is calculated by using the relativistic quark model, where the bound state wave function we used is that obtained in the relativistic potential model. The long-distance contribution is estimated by using vector meson dominance model.
description: 8 pages, 4 figures, 3 tables
Many-body localization of ${\mathbb Z}_3$ Fock parafermions
Creators: name: Bahovadinov, Murod S.
name: Buijsman, Wouter
name: Fedorov, Aleksey K.
name: Gritsev, Vladimir
name: Kurlov, Denis V.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We study the effects of a random magnetic field on a one-dimensional (1D) spin-1 chain with {\it correlated} nearest-neighbor $XY$ interaction. We show that this spin model can be exactly mapped onto the 1D disordered tight-binding model of ${\mathbb Z}_3$ Fock parafermions (FPFs), exotic anyonic quasiparticles that generalize usual spinless fermions. Thus, we have a peculiar case of a disordered Hamiltonian that, despite being bilinear in the creation and annihilation operators, exhibits a many-body localization (MBL) transition owing to the nontrivial statistics of FPFs. This is in sharp contrast to conventional bosonic and fermionic quadratic disordered Hamiltonians that show single-particle (Anderson) localization. We perform finite-size exact diagonalization calculations of level-spacing statistics, fractal dimensions, and entanglement entropy, and provide convincing evidence for the MBL transition at finite disorder strength.
description: 9 pages, 4 figures
Ridge correlation structure in high multiplicity pp collisions with CMS
Creators: name: Velicanu, Dragos
Publisher: name: arXiv
Year: 2011
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Results on two-particle angular correlations are presented in proton-proton collisions at center of mass energies of 7 TeV, over a broad range of pseudorapidity and azimuthal angle. In very high multiplicity events at 7 TeV, a pronounced structure emerges in the two-dimensional correlation function for particle pairs with intermediate $p_{\mathrm{T}}$ of 1--3 GeV/c, in the kinematic region $2.0 < |Δη| < 4.8$ and small $Δϕ$. This structure, which has not been observed in pp collisions before, is similar to what is known as the "ridge" in heavy ion collisions. It is not predicted by commonly used proton-proton Monte Carlo models and is not seen in lower multiplicity pp collisions. Updated studies of this new effect as a function of particle transverse momentum, rapidity and event characteristics are shown.
Development and Characterization of Pineapple Jam and Utilization of its Peel for Vinegar Production
Creators: name: Teklu Chalchisa Tolesa
Publisher: name: Zenodo
Year: 2018

description: Fruit extract, sugar (S), pectin(P) and citric acid are the four ingredients needed for jam production. The quality of the jam is highly dependent on the choice of concentrations of each ingredient and processing parameters. The physicochemical composition of pineapple (smooth cayenne variety) fruit pulp, and jam were studied and the results were recorded. Processing of pineapple fruit pulp into jam resulted in a significant increase in physico chemical properties like TSS and TA but a significant decrease in pH, Vitamin C and mineral composition were observed. Subsequently sensory and microbial evaluation were conducted to identify highly acceptable pineapple jam. Processing of pineapple fruit pulp into jam show slightly decrease the nutritional composition of the products. This study investigated good quality pineapple jam formulation using general factorial design (Minitab 17 modeling). Out of 12 pineapple jam samples that were formulated with different ratio of sugar, pectin, and processing temperature samples J10(T:90oc, S:45%, P:3%), formulation proved as best products in terms of its nutritional composition; sensory and microbial analysis. Production of vinegar by fermentation of pineapple peel using three selected strains of acetic acid bacteria’s (propionic bacterium acid propionic, panteo agglomerans, and pantea disperse) was assessed
AVP-AP: Self-supervised Automatic View Positioning in 3D cardiac CT via Atlas Prompting
Creators: name: Fan, Xiaolin
name: Wang, Yan
name: Zhang, Yingying
name: Bao, Mingkun
name: Jia, Bosen
name: Lu, Dong
name: Gu, Yifan
name: Cheng, Jian
name: Zhu, Haogang
Publisher: name: arXiv
Year: 2025
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Automatic view positioning is crucial for cardiac computed tomography (CT) examinations, including disease diagnosis and surgical planning. However, it is highly challenging due to individual variability and large 3D search space. Existing work needs labor-intensive and time-consuming manual annotations to train view-specific models, which are limited to predicting only a fixed set of planes. However, in real clinical scenarios, the challenge of positioning semantic 2D slices with any orientation into varying coordinate space in arbitrary 3D volume remains unsolved. We thus introduce a novel framework, AVP-AP, the first to use Atlas Prompting for self-supervised Automatic View Positioning in the 3D CT volume. Specifically, this paper first proposes an atlas prompting method, which generates a 3D canonical atlas and trains a network to map slices into their corresponding positions in the atlas space via a self-supervised manner. Then, guided by atlas prompts corresponding to the given query images in a reference CT, we identify the coarse positions of slices in the target CT volume using rigid transformation between the 3D atlas and target CT volume, effectively reducing the search space. Finally, we refine the coarse positions by maximizing the similarity between the predicted slices and the query images in the feature space of a given foundation model. Our framework is flexible and efficient compared to other methods, outperforming other methods by 19.8% average structural similarity (SSIM) in arbitrary view positioning and achieving 9% SSIM in two-chamber view compared to four radiologists. Meanwhile, experiments on a public dataset validate our framework's generalizability.
description: 12 pages, 8 figures, published to TMI
Reap the Harvest on Blockchain: A Survey of Yield Farming Protocols
Creators: name: Xu, Jiahua
name: Feng, Yebo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Portfolio Management (q-fin.PM)
subject: Cryptography and Security (cs.CR)
subject: Computer Science and Game Theory (cs.GT)
subject: Risk Management (q-fin.RM)
subject: FOS: Economics and business
subject: FOS: Computer and information sciences

description: Yield farming represents an immensely popular asset management activity in decentralized finance (DeFi). It involves supplying, borrowing, or staking crypto assets to earn an income in forms of transaction fees, interest, or participation rewards at different DeFi marketplaces. In this systematic survey, we present yield farming protocols as an aggregation-layer constituent of the wider DeFi ecosystem that interact with primitive-layer protocols such as decentralized exchanges (DEXs) and protocols for loanable funds (PLFs). We examine the yield farming mechanism by first studying the operations encoded in the yield farming smart contracts, and then performing stylized, parameterized simulations on various yield farming strategies. We conduct a thorough literature review on related work, and establish a framework for yield farming protocols that takes into account pool structure, accepted token types, and implemented strategies. Using our framework, we characterize major yield aggregators in the market including Yearn Finance, Beefy, and Badger DAO. Moreover, we discuss anecdotal attacks against yield aggregators and generalize a number of risks associated with yield farming.
MPEC 2023-W132 : 2023 WK3
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2023
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2023 WK3

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Extended Charged Events and Chern-Simons Couplings
Creators: name: Bunster, Claudio
name: Gomberoff, Andrés
name: Henneaux, Marc
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Recently, the concept of dynamical extended charged events has been introduced, and it has been argued that they should play as central a role as that played by particles or ordinary branes. In this article we show that in the presence of a Chern-Simons coupling, a magnetically charged extended event emits an extended object, which geometrically is just like a Dirac string, but it is observable, obeys equations of motion, and may be electrically charged. We write a complete action principle which accounts for this effect. The action involves two Chern-Simons terms, one integrated over spacetime and the other integrated over the worldvolume of the submanifold that is the union of the Dirac world-sheet and the history of the emitted physical object. By demanding that the total charge emitted by a composite extended magnetic event be quantized according to Dirac's rule, we find a quantization condition for the Chern-Simons coupling. For a 1-form electric potential in D=2n+1 spacetime dimensions, the composite event is formed by n elementary extended magnetic events separated in time such that the product of their transverse spaces, together with the time axis, is the entire spacetime. We show that the emitted electric charge is given by the integral of the (n-1)-th exterior power of the electromagnetic field strength over the last elementary event, or, equivalently, over an appropriate closed surface. The extension to more general p-form potentials and higher dimensions is also discussed. For the case D=11, p=3, our result for the quantization of the Chern-Simons coupling was obtained previously in the context of M-theory, a remarkable agreement that makes the existence of events even more compelling.
Steady states in a structured epidemic model with Wentzell boundary condition
Creators: name: Calsina, Angel
name: Farkas, Jozsef Z.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Analysis of PDEs (math.AP)
subject: Populations and Evolution (q-bio.PE)
subject: FOS: Mathematics
subject: FOS: Biological sciences
subject: 92D25, 47N60, 47D06, 35B35

description: We introduce a nonlinear structured population model with diffusion in the state space. Individuals are structured with respect to a continuous variable which represents a pathogen load. The class of uninfected individuals constitutes a special compartment that carries mass, hence the model is equipped with generalized Wentzell (or dynamic) boundary conditions. Our model is intended to describe the spread of infection of a vertically transmitted disease, for example Wolbachia in a mosquito population. Therefore the (infinite dimensional) nonlinearity arises in the recruitment term. First we establish global existence of solutions and the Principle of Linearised Stability for our model. Then, in our main result, we formulate simple conditions, which guarantee the existence of non-trivial steady states of the model. Our method utilizes an operator theoretic framework combined with a fixed point approach. Finally, in the last section we establish a sufficient condition for the local asymptotic stability of the positive steady state.
The effect of temporal pattern of injury on disability in learning networks
Creators: name: Saeedghalati, Mohammadkarim
name: Abbassian, Abdolhossein
Publisher: name: arXiv
Year: 2012
Subjects: subject: Neurons and Cognition (q-bio.NC)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Tissues and Organs (q-bio.TO)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: How networks endure damage is a central issue in neural network research. This includes temporal as well as spatial pattern of damage. Here, based on some very simple models we study the difference between a slow-growing and acute damage and the relation between the size and rate of injury. Our result shows that in both a three-layer and a homeostasis model a slow-growing damage has a decreasing effect on network disability as compared with a fast growing one. This finding is in accord with clinical reports where the state of patients before and after the operation for slow-growing injuries is much better that those patients with acute injuries.
description: Latex, 17 pages, 7 figures, 2 tables
Interface superconductivity in a type-II Dirac semimetal NiTe$_2$
Creators: name: Esin, V. D.
name: Shvetsov, O. O.
name: Timonina, A. V.
name: Kolesnikov, N. N.
name: Deviatov, E. V.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We experimentally investigate charge transport through a single planar junction between a NiTe$_2$ Dirac semimetal and a normal gold lead. At millikelvin temperatures we observe non-Ohmic $dV/dI(V)$ behavior resembling Andreev reflection at a superconductor -- normal metal interface, while NiTe$_2$ bulk remains non-superconducting. The conclusion on superconductivity is also supported by suppression of the effect by temperature and magnetic field. In analogy with the known results for Cd$_3$As$_2$ Dirac semimetal, we connect this behavior with interfacial superconductivity due to the flat-band formation at the Au-NiTe$_2$ interface. Since the flat-band and topological surface states are closely connected, the claim on the flat-band-induced superconductivity is also supported by the Josephson current through the topological surface states on the pristine NiTe$_2$ surface. We demonstrate the pronounced Josephson diode effect, which results from the momentum shift of topological surface states of NiTe$_2$ under an in-plane magnetic field.
title: Metapopulation Genomics of American Goshawks in the Intermountain West
Creators: name: Sidran, Megan M.
Publisher: name: Utah State University
Year: 2023

description: Understanding a species dispersal ecology and population dynamics is essential to effectively manage and conserve a species. As advancing technology improves our knowledge of species movements, it is becoming clear that many species form metapopulations to some extent. A metapopulation is a network of interconnected subpopulations that exchange reproductive individuals with subpopulations occupying nearby patches. Metapopulations have been observed in a variety of species, ranging from plants to vertebrates, and can vary greatly in their dynamics (level of connectivity and gene flow) based on the species behavior and life history strategy.
Forming a metapopulation can add much resilience to the subpopulation. A steady inflow of new individuals can protect the subpopulation from inbreeding depression and adds more standing variation for natural selection to work on. However, as the metapopulation breaks down and patches become isolated, that resilience is quickly lost. Habitat fragmentation due to anthropogenic changes poses a significant danger to metapopulations. Understanding these metapopulation dynamics is of key importance to formulating effective and efficient conservation and management plans. Information such as where, when, and how these species are dispersing can tell us how to best preserve these paths and maintain the metapopulation structure.
One species that forms a highly extensive metapopulation, is the American goshawk (Accipiter atricapillus). In this study we evaluated the metapopulation genomics of American goshawks in the Intermountain West by investigating the genetic diversity and differentiation, as well as gene flow and connectivity, of four subpopulations. The goshawk metapopulation is connected mainly through the natal dispersal of juveniles. Natal dispersal has been and continues to be very hard to track due the technological limitations.
Here we show that genomics can offer an alternative when species cannot be easily tracked. While specific dispersal routes cannot be elucidated, we were able to discover the level and direction of gene flow between subpopulations, giving a rough idea of where and how far individuals were dispersing. We found little to no differentiation and very high gene flow between these subpopulations despite the hundreds of kilometers between them. There was no geographic structuring shown both by an isolation by distance test and a correlation test between geographic distances and the estimated number of migrants exchanged. This information is vital to understanding the species movements and ecology in order to create an effective management plan.
A new trigonometric kernel function for support vector machine
Creators: name: Hafshejani, Sajad Fathi
name: Moberfard, Zahra
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: In the last few years, various types of machine learning algorithms, such as Support Vector Machine (SVM), Support Vector Regression (SVR), and Non-negative Matrix Factorization (NMF) have been introduced. The kernel approach is an effective method for increasing the classification accuracy of machine learning algorithms. This paper introduces a family of one-parameter kernel functions for improving the accuracy of SVM classification. The proposed kernel function consists of a trigonometric term and differs from all existing kernel functions. We show this function is a positive definite kernel function. Finally, we evaluate the SVM method based on the new trigonometric kernel, the Gaussian kernel, the polynomial kernel, and a convex combination of the new kernel function and the Gaussian kernel function on various types of datasets. Empirical results show that the SVM based on the new trigonometric kernel function and the mixed kernel function achieve the best classification accuracy. Moreover, some numerical results of performing the SVR based on the new trigonometric kernel function and the mixed kernel function are presented.
Mini-Kompendium musikwissenschaftliches Arbeiten
Creators: name: Vollmer, Frithjof
Publisher: name: Zenodo
Year: 2023
Subjects: musicology
introduction
methods
research databases
academic writing

description: Dieses knapp gefasste Paper bietet auf sieben Seiten einen Überblick zu empfohlenen Datenbanken, Recherche- und Arbeitstechniken in den Historischen Musikwissenschaften (Stand November 2023) und kann etwa in Einführungskursen zum (musik-)wissenschaftlichen Arbeiten zum Einsatz kommen.  
Die Verlinkungen, Zitationskonventionen und Angaben zur Nutzung künstlicher Intelligenz sind auf Studienanfänger*innen an der Staatl. Hochschule für Musik und Darstellende Kunst Stuttgart zugeschnitten; sie können in der Word-Version bei Bedarf entsprechend ausgetauscht werden.
Chiropractic treatment of patients under 18 years of age: frequency, patterns, and chiropractors' beliefs
Creators: name: Durant, Claire L.
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: RZ242 .D87 1998
subject: Chiropractic.
subject: Chiropractors.
subject: Children--Medical examinations.
subject: Children--Diseases--Diagnosis.

description: Bibliography: p. 115-120
Bengali text summarization by sentence extraction
Creators: name: Sarkar, Kamal
Publisher: name: arXiv
Year: 2012
Subjects: subject: Information Retrieval (cs.IR)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Text summarization is a process to produce an abstract or a summary by selecting significant portion of the information from one or more texts. In an automatic text summarization process, a text is given to the computer and the computer returns a shorter less redundant extract or abstract of the original text(s). Many techniques have been developed for summarizing English text(s). But, a very few attempts have been made for Bengali text summarization. This paper presents a method for Bengali text summarization which extracts important sentences from a Bengali document to produce a summary.
ESPNN: A novel electronic stopping power neural-network code built on the IAEA stopping power database. I. Atomic targets
Creators: name: Haiek, F. Bivort
name: Mendez, A. M. P.
name: Montanari, C. C.
name: Mitnik, D. M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Atomic and Molecular Clusters (physics.atm-clus)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The International Atomic Energy Agency (IAEA) stopping power database is a highly valued public resource compiling most of the experimental measurements published over nearly a century. The database-accessible to the global scientific community-is continuously updated and has been extensively employed in theoretical and experimental research for more than 30 years. This work aims to employ machine learning algorithms on the 2021 IAEA database to predict accurate electronic stopping power cross sections for any ion and target combination in a wide range of incident energies. Unsupervised machine learning methods are applied to clean the database in an automated manner. These techniques purge the data by removing suspicious outliers and old isolated values. A large portion of the remaining data is used to train a deep neural network, while the rest is set aside, constituting the test set. The present work considers collisional systems only with atomic targets. The first version of the ESPNN (electronic stopping power neural-network code), openly available to users, is shown to yield predicted values in excellent agreement with the experimental results of the test set.
Two-dimensional natural hyperbolic materials: From polaritons modulation to applications
Creators: name: Jia, Guangyi
name: Luo, Jinxuan
name: Wang, Huaiwen
name: Ma, Qiaoyun
name: Liu, Qinggang
name: Dai, Haitao
name: Asgari, Reza
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Natural hyperbolic materials (HMs) in two dimensions (2D) have an extraordinarily high anisotropy and a hyperbolic dispersion relation. Some of them can even sustain hyperbolic polaritons with great directional propagation and light compression to deeply sub-wavelength scales due to their inherent anisotropy. Herein, the anisotropic optical features of 2D natural HMs are reviewed. Four hyperbolic polaritons (i.e., phonon polaritons, plasmon polaritons, exciton-polaritons, and shear polaritons) as well as their generation mechanism are discussed in detail. The natural merits of 2D HMs hold promise for practical quantum photonic applications such as valley quantum interference, mid-infrared polarizer, spontaneous emission enhancement, near-field thermal radiation, and a new generation of optoelectronic components, among others. These analyses' conclusion outlines existing issues and potential interesting directions for 2D natural HMs. These findings could spur more interest in anisotropic 2D atomic crystals in the future, as well as the quick generation of natural HMs for new applications.
description: 23 pages, 16 figures, to appear in Nanoscale (2022)
Consistent space-based retrievals of chlorophyll fluorescence and atmospheric CO2 and CH4 for improved estimates of carbon fluxes
Creators: name: Hahne, Philipp
Publisher: name: Karlsruhe
Year: 2015

description: Understanding the natural carbon cycle and its feedback to climate change requires atmospheric carbon observations to constrain carbon surface fluxes. The retrieval method RemoTeC uses satellite measurements to retrieve atmospheric CO2 and CH4. This work improves the retrieval such that it accounts for chlorophyll fluorescence. Furthermore, this work shows that the CO2 retrieval accounting for chlorophyll fluorescence provides observational constraints on carbon surface flux estimates.
Origin of Extended Star Clusters
Creators: name: Hwang, Narae
Publisher: name: arXiv
Year: 2012
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We have discovered new extended star clusters (ESCs) in a nearby dIrr galaxy NGC 6822. These clusters are the nearest sample of ESCs available to date. The key characteristic of ESCs is their large size compared to typical globular clusters even though the two cluster populations are rather similar in terms of other parameters, i.e., color and luminosity. Several scenarios have been suggested to explain the formation of ESCs. However, the currently known ESCs may be a mixture of populations with heterogeneous formation histories. Future observational and theoretical studies are expected to better constrain the origins of ESCs as well as to increase their sample size.
description: 3 pages, 1 figure, conference proceeding (with updated references) for 'Stellar Clusters & Associations: A RIA Workshop on Gaia' held in Granada, Spain, May 23 - 27, 2011; 2011 Stellar Clusters and Associations, Conference..357H