cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The State of Trust & Integrity in Research
Creators: name: McIntosh, Leslie D.
name: Sumner, Josh
name: Vitale, Cynthia
Publisher: name: Ripeta
Year: 2022
Subjects: Information extraction and fusion
Information retrieval and web search
Data quality
Data management and data science not elsewhere classified
Informetrics
Organisation of information and knowledge resources
Other information and computing sciences not elsewhere classified

description: This report has highlighted the significant and critical role funding agencies and other research stakeholders have in improving the integrity of research. In the first section, experts provide context and an example from one funding agency on organisation-wide policies for improving research integrity. The second section of the report presents a broader landscape of data and open science policies worldwide along with an analysis of how these policies are put into practice. Finally, we present a case study and analysis of one funding agency’s practices and policies for open research as a lens for evaluating impact.
 Taken together, these articles exemplify the need for a more coordinated approach among funding agencies and other stakeholders in scientific communications and in the research workflow to comprehensively address research integrity. Central to these coordination efforts should be a focus on incentives for researchers and institutions for compliance and for training and education.
Collective excitations in two-dimensional harmonically trapped quantum droplets
Creators: name: Fei, Yifan
name: Du, Xucong
name: Chen, Xiao-Long
name: Zhang, Yunbo
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: The collective excitation modes in quantum droplets trapped in a two-dimensional harmonic potential in the context of symmetric weakly interacting binary bosonic mixtures are studied. By utilizing the linearization technique, the time-dependent extended Gross-Pitaevskii equation, and a sum-rule approach with a variational approximation, the ground state properties and collective excitations of such a two-dimensional quantum system are investigated for various system parameters. We present comprehensive analysis and calculations on the effect of the confinement strength and anisotropy of the trapping potential, the number of atoms in the droplet, and the collective excitation modes. The radius of the droplet, as well as the chemical potential, is non-monotonically related to the number of atoms in the droplet, and the confinement tends to shift the minimum values towards the ideal gas limit. The excitation frequency peaks, which are prominent in a self-bounded droplet, become less pronounced and smoother when subjected to a strong trapping potential. The sum-rule approach fails to reproduce the breathing mode frequency for a moderate number of atoms in a weak trapping potential, however, works perfectly well in a strong confinement. It was found that the anisotropy in the trap eliminates the degeneracy between the quadrupole and scissors modes that occurs in an isotropic trap, causing the frequencies of these two modes to immediately diverge from each other for any degree of anisotropy. These findings provide valuable insights into the unique characteristics and behavior of quantum droplets, offering potential implications for future research and applications in the dynamic behaviors of intriguing quantum droplets.
description: 12 pages, 6 figures
Manifolds with two projective bundle structures
Creators: name: Occhetta, Gianluca
name: Conde, Luis E. Solá
name: Romano, Eleonora A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: Primary 14M99, Secondary 14J45, 14M17

description: In this paper we classify varieties of Picard number two having two projective bundle structures of any relative dimension, under the assumption that these structures are mutually uniform. As an application we prove the Campana--Peternell conjecture for varieties of Picard number one admitting $\mathbb C^*$-actions of a certain kind.
description: 15 pages
title: Ο ρόλος της διατροφής στην αντιμετώπιση των ελκών πίεσης
title: The role of nutrition in the treatment of pressure ulcers
titleType: AlternativeTitle
Creators: name: Αποστολού, Δέσποινα
Publisher: name: Πανεπιστήμιο Δυτικής Αττικής
Year: 2023
Subjects: Έλκος πίεσης
Διατροφή
Αργινίνη
Διατροφική κατάσταση
Μικροθρεπτικά συστατικά

description: Εισαγωγή Τα έλκη πίεσης έχουν απασχολήσει επανειλημμένα τους ερευνητές, καθώς έχει αποδειχθεί πόσο σημαντική ανάγκη αποτελεί η πρόληψη τους, αλλά εξίσου κρίσιμη είναι η γρήγορη αντιμετώπισή τους. Για το λόγο αυτό, έχουν διενεργηθεί πολλές έρευνες με σκοπό την ανεύρεση των παραγόντων που συμμετέχουν είτε στη δημιουργία τους, είτε στη συνέχεια στην επούλωσή τους. Σκοπός Η συστηματική αυτή ανασκόπηση διενεργήθηκε στο πλαίσιο μελέτης της συμβολής της διατροφής στην επούλωση των ελκών πίεσης. Ερευνητική μεθοδολογία Για το σκοπό αυτό, έγινε αναζήτηση ερευνών σε δύο βάσεις δεδομένων, τις PubȂed και Cochrane Library και τέθηκαν κριτήρια ένταξης και αποκλεισμού. Αποτελέσματα Το αποτέλεσμα της αναζήτησης ήταν 10 άρθρα, που αφορούσαν το αντικείμενο της παρούσης ανασκόπησης, τα οποία μελετήθηκαν διεξοδικά και στη συνέχεια συλλέχθηκαν τα συμπεράσματά τους. Από τα παραπάνω άρθρα τα 4 μελετούσαν τη συμβολή μίας εμπλουτισμένης διατροφής με διάφορα μικροθρεπτικά συστατικά σε ασθενείς με έλκη πίεσης και ακόμη 4 τη συμβολή της χορήγησης ορισμένου ποσού πρωτεΐνης, αλλά και μικροθρεπτικών συστατικών. Επιπροσθέτως, 1 από τα άρθρα εξέτασε την επίδραση της πρόσληψης από του στόματος ιχθυελαίου με τη συγχορήγηση μικροθρεπτικών συστατικών, ενώ τέλος 1 άρθρο συνέκρινε τη σχέσης κόστους- αποτελεσματικότητας μετά τη χορήγηση εμπλουτισμένης με μικροθρεπτικά συστατικά διατροφής. Συμπεράσματα ȅι ερευνητές των μελετών, συμφωνούσαν ως επί το πλείστον στο ότι η υιοθέτηση μίας εξατομικευμένης και εμπλουτισμένης διατροφής από ασθενείς που πάσχουν από έλκη πίεσης έχει σπουδαία αποτελεσματικότητα και οφέλη για τους ίδιους τους ασθενείς και συμβάλλει στην καλύτερη και ταχύτερη διαχείριση των ελκών πίεσης. Ωστόσο, υπήρξε και μία έρευνα βάσει της οποίας φάνηκε πως και χωρίς τη χορήγηση κάποιου συμπληρώματος η επούλωση των ελκών πίεσης γίνεται επίσης ταχύρρυθμα. Τέλος, υπάρχουν στοιχεία που υποδηλώνουν ότι σε βάθος χρόνου επωφελείται οικονομικά και το εκάστοτε σύστημα υγειονομικής φροντίδας, όμως απαιτούνται περισσότερες μελέτες, ώστε τα αποτελέσματα και τα ευρήματα να είναι πιο αντικειμενικά και σαφή.
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes
Creators: name: Chung, Seokhyun
name: Kontar, Raed Al
name: Wu, Zhenke
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Multi-output regression seeks to borrow strength and leverage commonalities across different but related outputs in order to enhance learning and prediction accuracy. A fundamental assumption is that the output/group membership labels for all observations are known. This assumption is often violated in real applications. For instance, in healthcare datasets, sensitive attributes such as ethnicity are often missing or unreported. To this end, we introduce a weakly-supervised multi-output model based on dependent Gaussian processes. Our approach is able to leverage data without complete group labels or possibly only prior belief on group memberships to enhance accuracy across all outputs. Through intensive simulations and case studies on an Insulin, Testosterone and Bodyfat dataset, we show that our model excels in multi-output settings with missing labels, while being competitive in traditional fully labeled settings. We end by highlighting the possible use of our approach in fair inference and sequential decision-making.
Giant resonant skew scattering of plasma waves in a two-dimensional electron gas
Creators: name: Finnigan, Cooper
name: Efimkin, Dmitry K.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Electron skew scattering by impurities is one of the major mechanisms behind the anomalous Hall effect in ferromagnetic nanostructures. It is particularly strong at the surface of topological insulators where electron dynamics is governed by the spin-1/2 Dirac equation. Motivated by recently discovered mappings between hydrodynamics and the spin-1 Dirac equation, we consider the scattering of plasma waves -- propagating charge density oscillations -- excited in graphene off a non-uniform magnetic field created by an adjacent circular micromagnet. The calculated scattering amplitude not only exhibits a giant asymmetry, or skewness, but is resonantly enhanced if the frequency of the incoming wave matches the frequency of the chiral trapped mode circulating the micromagnet in only one direction. Furthermore, if the frequency of the incoming plasma wave is a few times larger than the Larmor frequency, the angular distribution of its forward scattering is almost indistinguishable from that of a Dirac electron at the surface of a topological insulator scattering off a magnetic impurity. The micrometer scale of the proposed setup enables direct investigations of individual skew scattering events previously inaccessible in electronic systems.
description: 13 pages, 10 Figures
DSC #14: Hello, DMCA Exemption
Creators: name: Dombrowski, Quinn
name: Samberg, Rachael
name: Stallman, Erik
Publisher: name: Stanford Digital Repository
Year: 2024
Subjects: subject: Digital humanities
subject: Text data mining
subject: Copyright
subject: Digital Millennium Copyright Act (United States)

description: In DSC #14: Hello, DMCA Exemption, Quinn Dombrowski talks with lawyers Rachael Samberg and Erik Stallman to understand what the new DMCA exemption for text and data mining means, and what does and doesn't allow researchers to do.
Quantum phase transition and unusual critical behavior in multi-Weyl semimetals
Creators: name: Wang, Jing-Rong
name: Liu, Guo-Zhu
name: Zhang, Chang-Jin
Publisher: name: arXiv
Year: 2017
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The low-energy behaviors of gapless double- and triple-Weyl fermions caused by the interplay of long-range Coulomb interaction and quenched disorder are studied by performing a renormalization group analysis. It is found that an arbitrarily weak disorder drives the double-Weyl semimetal to undergo a quantum phase transition into a compressible diffusive metal, independent of the disorder type and the Coulomb interaction strength. In contrast, the nature of the ground state of triple-Weyl fermion system relies sensitively on the specific disorder type in the noninteracting limit: The system is turned into a compressible diffusive metal state by an arbitrarily weak random scalar potential or $z$ component of random vector potential but exhibits stable critical behavior when there is only $x$ or $y$ component of random vector potential. In case the triple-Weyl fermions couple to random scalar potential, the system becomes a diffusive metal in the weak interaction regime but remains a semimetal if Coulomb interaction is sufficiently strong. Interplay of Coulomb interaction and $x$, or $y$, component of random vector potential leads to a stable infrared fixed point that is likely to be characterized by critical behavior. When Coulomb interaction coexists with the $z$ component of random vector potential, the system flows to the interaction-dominated strong coupling regime, which might drive a Mott insulating transition. It is thus clear that double- and triple-Weyl fermions exhibit distinct low-energy behavior in response to interaction and disorder. The physical explanation of such distinction is discussed in detail. The role played by long-range Coulomb impurity in triple-Weyl semimetal is also considered.
description: 22 pages, 17 figures
Polynomial algorithms for p-dispersion problems in a planar Pareto Front
Creators: name: Dupin, Nicolas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Data Structures and Algorithms (cs.DS)
subject: Computational Complexity (cs.CC)
subject: Computational Geometry (cs.CG)
subject: Discrete Mathematics (cs.DM)
subject: FOS: Computer and information sciences

description: In this paper, p-dispersion problems are studied to select $p\geqslant 2$ representative points from a large 2D Pareto Front (PF), solution of bi-objective optimization. Four standard p-dispersion variants are considered. A novel variant, Max-Sum-Neighbor p-dispersion, is introduced for the specific case of a 2D PF. Firstly, $2$-dispersion and $3$-dispersion problems are proven solvable in $O(n)$ time in a 2D PF. Secondly, dynamic programming algorithms are designed for three p-dispersion variants, proving polynomial complexities in a 2D PF. Max-min p-dispersion is solvable in $O(pn\log n)$ time and $O(n)$ memory space. Max-Sum-Neighbor p-dispersion is proven solvable in $O(pn^2)$ time and{$O(n)$} space. Max-Sum-min p-dispersion is solvable in $O(pn^3)$ time and $O(pn^2)$ space, this complexity holds also in 1D, proving for the first time that Max-Sum-min p-dispersion is polynomial in 1D. Furthermore, properties of these algorithms are discussed for an efficient implementation {and for a practical application inside bi-objective meta-heuristics.
DSC #15: Little Miss California Stereotype… and the BY Times
Creators: name: Dombrowski, Quinn
name: Bernstein, Dainy
name: Algee-Hewitt, Mark
Publisher: name: Stanford Digital Repository
Year: 2024
Subjects: subject: Digital humanities
subject: Text data mining
subject: Haredi youth literature

description: In DSC #15: Little Miss California Stereotype... and the BY Times, Quinn Dombrowski talks with Dainy Bernstein about the "BY Times", a Haredi knock-off of the Baby-Sitters Club series, and they work with Mark Algee-Hewitt to see if the BY Times character who embodies California stereotypes has computationally distinctive speech.
Effective non-vanishing for Fano weighted complete intersections
Creators: name: Pizzato, Marco
name: Sano, Taro
name: Tasin, Luca
Publisher: name: arXiv
Year: 2017
Subjects: subject: Algebraic Geometry (math.AG)
subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 14J40

description: We show that Ambro-Kawamata's non-vanishing conjecture holds true for a quasi-smooth WCI X which is Fano or Calabi-Yau, i.e. we prove that, if H is an ample Cartier divisor on X, then |H| is not empty. If X is smooth, we further show that the general element of |H| is smooth. We then verify Ambro-Kawamata's conjecture for any quasi-smooth weighted hypersurface. We also verify Fujita's freeness conjecture for a Gorenstein quasi-smooth weighted hypersurface. For the proofs, we introduce the arithmetic notion of regular pairs and enlighten some interesting connection with the Frobenius coin problem.
description: 27 pages. Revised version to appear in Algebra and Number Theory
Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis
Creators: name: Lin, Junfan
name: Wang, Keze
name: Chen, Ziliang
name: Liang, Xiaodan
name: Lin, Liang
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Medical diagnosis assistant (MDA) aims to build an interactive diagnostic agent to sequentially inquire about symptoms for discriminating diseases. However, since the dialogue records used to build a patient simulator are collected passively, the data might be deteriorated by some task-unrelated biases, such as the preference of the collectors. These biases might hinder the diagnostic agent to capture transportable knowledge from the simulator. This work attempts to address these critical issues in MDA by taking advantage of the causal diagram to identify and resolve two representative non-causal biases, i.e., (i) default-answer bias and (ii) distributional inquiry bias. Specifically, Bias (i) originates from the patient simulator which tries to answer the unrecorded inquiries with some biased default answers. Consequently, the diagnostic agents cannot fully demonstrate their advantages due to the biased answers. To eliminate this bias and inspired by the propensity score matching technique with causal diagram, we propose a propensity-based patient simulator to effectively answer unrecorded inquiry by drawing knowledge from the other records; Bias (ii) inherently comes along with the passively collected data, and is one of the key obstacles for training the agent towards "learning how" rather than "remembering what". For example, within the distribution of training data, if a symptom is highly coupled with a certain disease, the agent might learn to only inquire about that symptom to discriminate that disease, thus might not generalize to the out-of-distribution cases. To this end, we propose a progressive assurance agent, which includes the dual processes accounting for symptom inquiry and disease diagnosis respectively. The inquiry process is driven by the diagnosis process in a top-down manner to inquire about symptoms for enhancing diagnostic confidence.
description: To appear in TPAMI 2023. In the experiments, our trained agent achieves the new state-of-the-art under various experimental settings and possesses the advantage of sample-efficiency and robustness compared to other existing MDA methods
The State of Trust & Integrity in Research
Creators: name: ripeta, figshare admin
Publisher: name: Ripeta
Year: 2022
Subjects: Information extraction and fusion
Information retrieval and web search
Data quality
Data management and data science not elsewhere classified
Informetrics
Organisation of information and knowledge resources
Other information and computing sciences not elsewhere classified

description: This report has highlighted the significant and critical role funding agencies and other research stakeholders have in improving the integrity of research. In the first section, experts provide context and an example from one funding agency on organisation-wide policies for improving research integrity. The second section of the report presents a broader landscape of data and open science policies worldwide along with an analysis of how these policies are put into practice. Finally, we present a case study and analysis of one funding agency’s practices and policies for open research as a lens for evaluating impact.
 Taken together, these articles exemplify the need for a more coordinated approach among funding agencies and other stakeholders in scientific communications and in the research workflow to comprehensively address research integrity. Central to these coordination efforts should be a focus on incentives for researchers and institutions for compliance and for training and education.
title: Efficacy of a mixed methods training program for transthoracic echocardiography
Creators: name: Tharp, Britni
Publisher: name: Digital Commons@Becker, Barnes Jewish College Goldfarb School of Nursing
Year: 2023
Subjects: classificationCode: 3
subject: FOS: Medical and health sciences

description: Background and Review of Literature: Currently, there is a knowledge gap in CRNA education. As anesthesia providers, CRNAs are licensed to perform cardiac diagnostic imaging such as TTE during surgery, yet it is often missing from CRNA school curriculum. Other studies have shown that simulation is an effective way of teaching this crucial skill.
Purpose: The project’s goal was to establish the efficacy of using a mixed model computerized and in-person simulation program for training CRNAs in the use of TTE during non-cardiac surgery.
Methods: A training program was created that uses a computerized training session along with a hands-on simulation. This program focuses on ultrasound basics, landmark identification, and diagnosis of hypovolemia and ventricular dysfunction. A cohort of CRNA participants engaged in the training to study its efficacy.
Implementation Plan/Procedure: A pretest and posttest that included an attitudes survey was given to the participants to evaluate increases in competency and comfort in performing TTE skills as a result of the training program. A skills checkoff was also completed to demonstrate competency.
Implications/Conclusion: Data analysis suggests that the program was effective in increasing TTE knowledge and creating a base level of skill and competency in the use of TTE for all participants.
Constraining the hadronic properties of star-forming galaxies above $1\, \rm GeV$ with 15-years Fermi-LAT data
Creators: name: Ambrosone, Antonio
name: Chianese, Marco
name: Marinelli, Antonio
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Star-forming and starburst galaxies (SFGs and SBGs) are powerful emitters of non-thermal $γ$-rays and neutrinos, due to their intense phases of star-formation activity, which should confine high-energy Cosmic-Rays (CRs) inside their environments. In this paper, using the publicly-available \texttt{fermitools}, we analyse 15.3 years of $γ$-ray between $1-1000\, \rm GeV$ data for 70 sources, 56 of which were not previously detected. We find at~$4σ$ level an indication of $γ$-ray emission for other two SBGs, namely M 83 and NGC 1365. By contrast, we find that, even with the new description of background, the significance for the $γ$-ray emission of M 33~(initially reported as discovered) still stands at $\sim \, 4σ$ (as already reported by previous works). Along with previous findings, the flux of each detected source is consistent with a $\sim E^{-2.3/2.4}$ spectrum, compatible with the injected CR flux inferred for CRs in the Milky-Way. We notice that the correlation between the calorimetric fraction~$F_{\rm cal}$ of high-energy protons in SFGs and SBGs (the fraction of high-energy protons actually producing high-energy $γ$-rays and neutrinos) and the SFR is in accordance with the expected scaling relation for CR escape dominated by advection. We remark that undiscovered sources strongly constrain $F_{\rm cal}$ at 95\% CL, providing fundamental information when we interpret the results as common properties of SFGs and SBGs. Finally, we find that these sources might contribute $(12\pm 3)\%$ to the EGB, while the corresponding diffuse neutrino flux strongly depends on the spectral index distribution along the source class.
description: 32 pages, 9 figures, 16 Tables. Version 3
Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments
Creators: name: Dauber, Edwin
name: Caliskan, Aylin
name: Harang, Richard
name: Shearer, Gregory
name: Weisman, Michael
name: Nelson, Frederica
name: Greenstadt, Rachel
Publisher: name: arXiv
Year: 2017
Subjects: subject: Machine Learning (cs.LG)
subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Program authorship attribution has implications for the privacy of programmers who wish to contribute code anonymously. While previous work has shown that complete files that are individually authored can be attributed, we show here for the first time that accounts belonging to open source contributors containing short, incomplete, and typically uncompilable fragments can also be effectively attributed. We propose a technique for authorship attribution of contributor accounts containing small source code samples, such as those that can be obtained from version control systems or other direct comparison of sequential versions. We show that while application of previous methods to individual small source code samples yields an accuracy of about 73% for 106 programmers as a baseline, by ensembling and averaging the classification probabilities of a sufficiently large set of samples belonging to the same author we achieve 99% accuracy for assigning the set of samples to the correct author. Through these results, we demonstrate that attribution is an important threat to privacy for programmers even in real-world collaborative environments such as GitHub. Additionally, we propose the use of calibration curves to identify samples by unknown and previously unencountered authors in the open world setting. We show that we can also use these calibration curves in the case that we do not have linking information and thus are forced to classify individual samples directly. This is because the calibration curves allow us to identify which samples are more likely to have been correctly attributed. Using such a curve can help an analyst choose a cut-off point which will prevent most misclassifications, at the cost of causing the rejection of some of the more dubious correct attributions.
DSC #16: Anastasia's Secret Language
Creators: name: Dombrowski, Quinn
name: Salter, Anastasia
Publisher: name: Stanford Digital Repository
Year: 2024
Subjects: subject: Digital humanities
subject: Computer software--Study and teaching
subject: Computer games

description: In DSC 16: Anastasia's Secret Language, Quinn Dombrowski talks with Anastasia Salter about the history of computer games, particularly in the 1990's. Quinn's kids, Sam and Paul Dombrowski, try out the 1990's Baby-Sitters Club game and offer color commentary.
Busti & Zappa family chart and information
Creators: name: Semenza, Paolo
name: Jones, John Everett
Publisher: name: Zenodo
Year: 2022
Subjects: Paul Busti (1749-1824); United States history, 19th C., Holland Land Company, Amsterdam, Italian Merchant Community, 18th C.

description: Genealogical information about the extended family of Paul Busti (1749-1824). Family structure and documentation of individuals provide corroboration of the identity of Paul Busti. Additionally, this paper provides individual documentation for Paul Busti.
On Negative Transfer and Structure of Latent Functions in Multi-output Gaussian Processes
Creators: name: Li, Moyan
name: Kontar, Raed
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: The multi-output Gaussian process ($\mathcal{MGP}$) is based on the assumption that outputs share commonalities, however, if this assumption does not hold negative transfer will lead to decreased performance relative to learning outputs independently or in subsets. In this article, we first define negative transfer in the context of an $\mathcal{MGP}$ and then derive necessary conditions for an $\mathcal{MGP}$ model to avoid negative transfer. Specifically, under the convolution construction, we show that avoiding negative transfer is mainly dependent on having a sufficient number of latent functions $Q$ regardless of the flexibility of the kernel or inference procedure used. However, a slight increase in $Q$ leads to a large increase in the number of parameters to be estimated. To this end, we propose two latent structures that scale to arbitrarily large datasets, can avoid negative transfer and allow any kernel or sparse approximations to be used within. These structures also allow regularization which can provide consistent and automatic selection of related outputs.
title: ОРГАНИЗАЦИОННО-ПРОСТРАНСТВЕННЫЕ АСПЕКТЫ ВОСПИТАНИЯ ГОРОЖАНИНА: ШКОЛЫ И УНИВЕРСИТЕТЫ В ГОРОДЕ
Creators: name: Ахметзянова, Дина
Publisher: name: Новгородский государственный университет имени Ярослава Мудрого (НовГУ)
Year: 2022

description: В статье рассмотрена взаимосвязь между образовательным пространством города и городской ментальностью. Высказывается предположение, что существует зависимость между личностными качествами горожанина, его психологическим состоянием и спецификой архитектурно-планировочных и управленческих решений, принимаемых в отношении образовательных учреждений. Данная позиция аргументирована с помощью сравнительного анализа ряда школ и университетов. Обозначена перспектива того, что необходимо переосмысление подхода к проектированию образовательного пространства. Модель современного образовательного учреждения должна приобретать значение многофункционального общественного пространства, работающего на город. Формирующиеся при этом множественные связи со сложносочинённой городской средой позволят обучающимся горожанам преодолеть чувство городского отчуждения. Тем самым удастся ответить на современные вызовы в воспитании функциональной городской личности.
A tutorial introduction to quantum circuit programming in dependently typed Proto-Quipper
Creators: name: Fu, Peng
name: Kishida, Kohei
name: Ross, Neil J.
name: Selinger, Peter
Publisher: name: arXiv
Year: 2020
Subjects: subject: Programming Languages (cs.PL)
subject: Quantum Physics (quant-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: We introduce dependently typed Proto-Quipper, or Proto-Quipper-D for short, an experimental quantum circuit programming language with linear dependent types. We give several examples to illustrate how linear dependent types can help in the construction of correct quantum circuits. Specifically, we show how dependent types enable programming families of circuits, and how dependent types solve the problem of type-safe uncomputation of garbage qubits. We also discuss other language features along the way.
description: Added a section on related work and a paragraph explaining qubit initialization and termination
Public Deliberation and Platform Governance: A Pragmatist Approach in Contribution to the Theory of Workplace Democracy
Creators: name: Himmelberger, Shae
Publisher: name: University of Chicago
Year: 2023

description: In contribution to burgeoning theories of deliberative workplace democracy, I argue that Habermas’s model of deliberation is unhelpful for normative recommendations about the democratization of firms in the platform economy. Based on the discussions of platform workers online, I instead argue that John Dewey’s model of deliberation has greater critical purchase for them as deliberators. On Dewey’s rendering, platform workers are deliberative inquirers seeking but failing to achieve collective knowledge and control of sources of disruption to their work. A set of normative recommendations following from Dewey’s account demands self-governance from the first, an experimentalist governance strategy that would follow from the activities in which platform workers are already engaged. Pace Habermas, who worries that this lacks sufficient democratic legitimacy, the Deweyan model of deliberation allows platform workers to begin collectively experimenting now.
A pro-algebraic fundamental group for topological spaces
Creators: name: Deninger, Christopher
Publisher: name: arXiv
Year: 2020
Subjects: subject: Algebraic Topology (math.AT)
subject: General Topology (math.GN)
subject: FOS: Mathematics
subject: 55Q99, 55R15

description: Consider a connected topological space $X$ with a point $x \in X$ and let $K$ be a field with the discrete topology. We study the Tannakian category of finite dimensional (flat) vector bundles on $X$ and its Tannakian dual $π_K (X,x)$ with respect to the fibre functor in $x$. The maximal pro-étale quotient of $π_K (X,x)$ is the étale fundamental group of $X$ studied by Kucharczyk and Scholze. For well behaved topological spaces, $π_K (X,x)$ is the pro-algebraic completion of the ordinary fundamental group $π_1 (X,x)$. We obtain some structural results on $π_K (X,x)$ by studying (pseudo-)torsors attached to its quotients. This approach uses ideas of Nori in algebraic geometry and a result of Deligne on Tannakian categories. We also calculate $π_K (X,x)$ for some generalized solenoids.
description: The article was submitted in happier times as a contribution to a special volume celebrating the 80th birthday of Professor Alexei Nikolaevich Parshin. Sadly this volume has now become his orbituary
Memory-Usage Advantageous Block Recursive Matrix Inverse
Creators: name: Cosme, Iria C. S.
name: Fernandes, Isaac F.
name: de Carvalho, João L.
name: Xavier-de-Souza, Samuel
Publisher: name: arXiv
Year: 2016
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: The inversion of extremely high order matrices has been a challenging task because of the limited processing and memory capacity of conventional computers. In a scenario in which the data does not fit in memory, it is worth to consider exchanging less memory usage for more processing time in order to enable the computation of the inverse which otherwise would be prohibitive. We propose a new algorithm to compute the inverse of block partitioned matrices with a reduced memory footprint. The algorithm works recursively to invert one block of a $k \times k$ block matrix $M$, with $k \geq 2$, based on the successive splitting of $M$. It computes one block of the inverse at a time, in order to limit memory usage during the entire processing. Experimental results show that, despite increasing computational complexity, matrices that otherwise would exceed the memory-usage limit can be inverted using this technique.
DSC #18: The Data-Sitters' HathiTrust Mistake
Creators: name: Cordell, Cadence
name: Dombrowski, Quinn
name: Layne-Worthey, Glen
Publisher: name: Stanford Digital Repository
Year: 2024
Subjects: subject: Digital humanities
subject: Text data mining
subject: HathiTrust

description: In DSC #18: The Data-Sitteres' HathiTrust Mistake, Cadence Cordell and Quinn Dombrowski try to use the HathiTrust Data Capsule with advice from Glen Layne-Worthey, and the experience is not unlike when the Baby-Sitters go to visit New York City.
FRRI: a novel algorithm for fuzzy-rough rule induction
Creators: name: Bollaert, Henri
name: Palangetić, Marko
name: Cornelis, Chris
name: Greco, Salvatore
name: Słowiński, Roman
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Interpretability is the next frontier in machine learning research. In the search for white box models - as opposed to black box models, like random forests or neural networks - rule induction algorithms are a logical and promising option, since the rules can easily be understood by humans. Fuzzy and rough set theory have been successfully applied to this archetype, almost always separately. As both approaches to rule induction involve granular computing based on the concept of equivalence classes, it is natural to combine them. The QuickRules\cite{JensenCornelis2009} algorithm was a first attempt at using fuzzy rough set theory for rule induction. It is based on QuickReduct, a greedy algorithm for building decision reducts. QuickRules already showed an improvement over other rule induction methods. However, to evaluate the full potential of a fuzzy rough rule induction algorithm, one needs to start from the foundations. In this paper, we introduce a novel rule induction algorithm called Fuzzy Rough Rule Induction (FRRI). We provide background and explain the workings of our algorithm. Furthermore, we perform a computational experiment to evaluate the performance of our algorithm and compare it to other state-of-the-art rule induction approaches. We find that our algorithm is more accurate while creating small rulesets consisting of relatively short rules. We end the paper by outlining some directions for future work.
Learning what they think vs. learning what they do: The micro-foundations of vicarious learning
Creators: name: Park, Sanghyun
name: Puranam, Phanish
Publisher: name: arXiv
Year: 2020
Subjects: subject: Theoretical Economics (econ.TH)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Economics and business
subject: FOS: Computer and information sciences

description: Vicarious learning is a vital component of organizational learning. We theorize and model two fundamental processes underlying vicarious learning: observation of actions (learning what they do) vs. belief sharing (learning what they think). The analysis of our model points to three key insights. First, vicarious learning through either process is beneficial even when no agent in a system of vicarious learners begins with a knowledge advantage. Second, vicarious learning through belief sharing is not universally better than mutual observation of actions and outcomes. Specifically, enabling mutual observability of actions and outcomes is superior to sharing of beliefs when the task environment features few alternatives with large differences in their value and there are no time pressures. Third, symmetry in vicarious learning in fact adversely affects belief sharing but improves observational learning. All three results are shown to be the consequence of how vicarious learning affects self-confirming biased beliefs.
Letter from Charles Scribner's Sons to William Elliot Griffis, December 13, 1918
Creators: name: Sons, Charles Scribner's
Publisher: name: No Publisher Supplied
Year: 1918

description: Denies Griffis' publication request for a new edition of Corea. Suggests that the new edition will not sell favorably (also states issues of history due to the absorbtion of Korea into the Japanese Empire).
Impact of Dark Sector Preheating on CMB Observables
Creators: name: Garcia, Marcos A. G.
name: Pereyra-Flores, Aline
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The prediction of a nearly scale-invariant spectrum of curvature and tensor fluctuations is among the main features of cosmic inflation. The current measurements of the primordial fluctuations in the cosmic microwave background (CMB) provide tight constraints on the amplitude of the scalar and tensor spectra, and the scalar tilt. However, the precise connection between these observables and a given inflationary model, depends on the expansion history between the end of inflation and the beginning of the radiation dominated era, which corresponds to the reheating epoch. This mapping between horizon exit and reentry of fluctuations, parametrized by the number of $e$-folds $N_*$, can therefore be affected by the presence of a transient epoch of non-perturbative particle production during reheating ({\em preheating}). Using a combination of perturbative and lattice computations, we quantify the impact of preheating in a non-equilibrated dark matter sector on the CMB observables, under the assumption of a simultaneous perturbative decay of the inflaton into Standard Model particles. Combined with structure formation constraints, this allows us to impose stringent bounds on the post-inflationary reheating temperature.
description: 27 pages, 10 figures
Anisotropic effects in two-dimensional materials
Creators: name: Rudenko, Alexander N.
name: Katsnelson, Mikhail I.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Among a huge variety of known two-dimensional materials, some of them have anisotropic crystal structures; examples include so different systems as a few-layer black phoshphorus (phosphorene), beryllium nitride BeN$_4$, van der Waals magnet CrSBr, rhenium dichalgogenides ReX$_2$. As a consequence, their optical and electronic properties turn out to be highly anisotropic as well. In some cases, the anisotropy results not just in a smooth renormalization of observable properties in comparison with the isotropic case but in the appearance of dramatically new physics. The examples are hyperbolic plasmons and excitons, strongly anisotropic ordering of adatoms at the surface of two-dimensional or van der Waals materials, essential change of transport and superconducting properties. Here, we present a systematic review of electronic structure, transport and optical properties of several representative groups of anisotropic two-dimensional materials including semiconductors, anisotropic Dirac and semi-Dirac materials, as well as superconductors.
description: Review article, 30 pages, 10 figures. Final version
Evidence of evolutionary selection for co-translational folding
Creators: name: Jacobs, William M
name: Shakhnovich, Eugene I
Publisher: name: arXiv
Year: 2017
Subjects: subject: Biomolecules (q-bio.BM)
subject: FOS: Biological sciences

description: Recent experiments and simulations have demonstrated that proteins can fold on the ribosome. However, the extent and generality of fitness effects resulting from co-translational folding remain open questions. Here we report a genome-wide analysis that uncovers evidence of evolutionary selection for co-translational folding. We describe a robust statistical approach to identify loci within genes that are both significantly enriched in slowly translated codons and evolutionarily conserved. Surprisingly, we find that domain boundaries can explain only a small fraction of these conserved loci. Instead, we propose that regions enriched in slowly translated codons are associated with co-translational folding intermediates, which may be smaller than a single domain. We show that the intermediates predicted by a native-centric model of co-translational folding account for the majority of these loci across more than 500 E. coli proteins. By making a direct connection to protein folding, this analysis provides strong evidence that many synonymous substitutions have been selected to optimize translation rates at specific locations within genes. More generally, our results indicate that kinetics, and not just thermodynamics, can significantly alter the efficiency of self-assembly in a biological context.
title: Ευφυείς agents σε mobile εφαρμογές
title: Smart agents for mobile applications
titleType: AlternativeTitle
Creators: name: Κουμπανάκης, Κωνσταντίνος
Publisher: name: Πανεπιστήμιο Πειραιώς
Year: 2023
Subjects: subject: Mobile
subject: Android
subject: AI
subject: Smart Agent

description: Η παρούσα διπλωματική εργασία ασχολείται με την διερεύνηση των δυνατοτήτων των ευφυών agents για την αναγνώριση γλώσσας, εξαγωγή παραμέτρων και προθέσεων του χρήστη σε mobile εφαρμογές. Η χρήση των agents εμφανίζεται όλο και πιο συχνά στις mobile εφαρμογές με σκοπό την αυτοματοποίηση εργασιών όπου σε αντίθετη περίπτωση ο χρήστης θα εκτελούσε χειροκίνητα στο κινητό του. Ένας agent μπορεί να προσφέρει πληθώρα πλεονεκτημάτων σε μια mobile εφαρμογή όπως η ταχύτητα εκτέλεσης εργασιών, η δυνατότητα η εφαρμογή να είναι προσβάσιμη από άτομα με περιορισμένη όραση και άλλες ειδικές ανάγκες, καλύτερη εμπειρία χρήσης της εφαρμογής και εκτέλεση περίπλοκων περιπτώσεων χρήσης στα πλαίσια της εφαρμογής. Παρόλα αυτά, η ενσωμάτωση ενός ευφυούς agent σε μια mobile εφαρμογή δεν είναι πάντοτε μια εύκολη διαδικασία. Οι παράμετροι που πρέπει να ληφθούν υπόψιν κατά την σχεδίαση του λογισμικού είναι αρκετές και πρέπει να οριστούν εξ’ αρχής τα πλαίσια πάνω στα οποία θα λειτουργεί ο agent. Στην παρούσα εργασία θα αναλύσουμε την χρησιμότητα και τις δυνατότητες που προσφέρει ένας agent σε μια mobile εφαρμογή, τον τρόπο ένταξής του σε μια mobile εφαρμογή και τις προκλήσεις που θα εμφανιστούν σχεδιάζοντας ένα λογισμικό όπου θα χρησιμοποιεί έναν ευφυή agent. Επιπλέον, θα γίνει παρουσίαση και ανάλυση της mobile εφαρμογής, που υλοποιήθηκε στα πλαίσια της διπλωματικής εργασίας, όπου γίνεται χρήση ενός ευφυούς agent μέσω της υπηρεσίας DialogFlow της Google για την πλήρη αυτοματοποίηση εργασιών και πλοήγησης σε application με σκοπό την παραγγελία προϊόντων ενός καταστήματος από τον πελάτη.
Higgs-Zeno Gravity: Dark Matter as Measurement-Induced Spacetime Memory
Creators: name: Chatterjee, Dristi
Publisher: name: Zenodo
Year: 2025

description: We present a complete framework unifying quantum measurement dynamics with general relativity through the Higgs-Zeno mechanism. Dark matter is shown to emerge as spacetime curvature memory

 - a self-reinforcing gravitational effect from historical quantum measurements. The theoryresolves key observational puzzles without dark matter particles:• Galactic rotation curves via measurement-stabilized spiral spacetime (∆vpred/∆vobs < 5%)• Bullet Cluster lensing through measurement-decoupled curvature memory (KS test p = 0.62)• Large-scale structure formation via entanglement-regulated spacetime feedback**Novel predictions include**: Quantum spacetime echo signatures in gravitational waves (LISASNR ¿ 5), Zeno-suppressed black hole evaporation (ΓZeno/ΓHawking = 0.0032 ± 0.0004), andmeasurement-induced CMB anomalies. This work establishes quantum measurement as fundamental to spacetime structure

AcknowledgementsThe author acknowledges the use of OpenAI's ChatGPT and DeepSeek as assistive tools in the development of ideas, refinement of theoretical models, and support in drafting and editing the manuscript. The AI was employed for brainstorming, language polishing, diagram suggestions, and exploring mathematical formulations, with all conceptual direction and final interpretations guided by the author.
Symmetric cumulant $sc_{2,4} \left \{ 4 \right \}$ and asymmetric cumulant $ac_{2} \left \{ 3 \right \}$ from transverse momentum conservation and flow
Creators: name: Pei, Jia-Lin
name: Ma, Guo-Liang
name: Bzdak, Adam
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Multiparticle cumulants method can be used to reveal long-range collectivity in small and large colliding systems. The four-particle symmetric cumulant $sc_{2,4} \left \{ 4 \right \}$, three-particle asymmetric cumulant $ac_{2} \left \{ 3 \right \}$, and the normalized cumulants $nsc_{2,4} \left \{ 4 \right \}$ and $nac_{2} \left \{ 3 \right \}$ from the transverse momentum conservation and flow are calculated. The interplay between the two effects is also investigated. Our results are in a good agreement with the recent ATLAS measurements of multiparticle azimuthal correlations with the subevent cumulant method, which provides insight into the origin of collective flow in small systems.
description: 17 pages, 5 figures, final published version
DSC #19: Shelley and the Bad Corpus
Creators: name: Staples, Shelley
name: Dombrowski, Quinn
Publisher: name: Stanford Digital Repository
Year: 2024
Subjects: subject: Digital humanities
subject: Text data mining
subject: Text corpora
subject: Newbery Medal

description: In DSC #19: Shelley and the Bad Corpus, Quinn Dombrowski talks with corpus linguist Shelley Staples about how to put together a text corpus, and how to know if it's "good" for your research question. After several months of being stuck, Quinn tries to put the advice into practice by looking for pizza in Newbery Medal winners and nominees.