cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Data’s Intimacy: Machinic Sensibility and the Quantified Self
title: Data’s Intimacy
titleType: AlternativeTitle
Creators: name: Hong, Sun-Ha
Publisher: name: University of Massachusetts Amherst
Year: 2016
Subjects: subject: data; self-tracking; quantified self; phenomenology; sense; measurement; technology; objectivity; epistemology
subject: Communication Technology and New Media
subject: Continental Philosophy
subject: Critical and Cultural Studies
subject: Digital Humanities
subject: Other Film and Media Studies
subject: Philosophy of Science
subject: Science and Technology Studies

description: Today, machines observe, record, sense the world – not just for us, but sometimes instead of us (in our stead), and even indifferently to us humans. And yet, we remain human. Correlationism may not be up to a comprehensive ontology, but the ways in which we encounter, and struggle to make some kind of sense of, machinic sensibility matters. The nature of that encounter is not instrumentality, or even McLuhanian extension, but a full-blown ‘relationship’ where the terms by which machines ‘experience’ the world, and communicate with each other, parametrises the conditions for our own experience. This essay will play out one such relationship currently in the making: the boom in self-tracking technologies, and the attendant promise of data’s intimacy. This essay proceeds in three sections, all of which draw on a larger research project into self-tracking and contemporary data epistemologies. It thus leverages observations from close reading of self-tracking’s publicisation in the mass media between 2007 and 2016; analysis of over fifty self-tracking products, some of it through self-experimentation; and interviews and ethnographic observation, primarily of the ‘Quantified Self’ connoisseur community. The first section examines the dominant public presentations of self-tracking in early twenty-first century discourse. This discourse embraces a vision of automated and intimate self-surveillance, which is then promised to deliver superior control and objective knowledge over the self. Next, I link these promises to the recent theoretical turns towards the agency of objects and the autonomous sensory capacities of new media to consider the implications of such theories – and the technological shifts they address – for the phenomenology of the new media subject. Finally, I return to self-tracking discourse to consider its own idealisation of such a subject – what I call ‘data-sense’. I conclude by calling for a more explicit public and intellectual debate around the relationships we forge with new technologies, and the consequences they have for who – and what – is given which kinds of authority to speak the truth of the ‘self’.
Diagnostic and Comparative Analysis of Dark Energy Models with $q(z)$ Parametrizations
Creators: name: Arora, Dhruv
name: Chaudhary, Himanshu
name: Pacif, Shibesh Kumar Jas
name: Mustafa, G.
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: This manuscript presents a diagnostic analysis of three dark energy models resulting from the parametrization of the deceleration parameter. These models exhibit intriguing features, including late-time acceleration and a cosmological phase transition from early deceleration to late acceleration. The analysis utilizes parametrizations of the deceleration parameter, $q(z)$, and employs Cosmic Chronometers (CC), Type Ia supernovae (SNIa), Gamma Ray Bursts (GRB), Quasar (Q) and Baryon Acoustic Oscillations (BAO) datasets to constrain the models and determine the best-fitting values of the model parameters. Additionally, the evolution of kinematic cosmographic parameters is investigated. The study focuses on discussing the statefinder and Om diagnostic analyses of the considered models, comparing them with the well-established $Λ$CDM and SCDM models. By utilizing information criteria, the viability of the models is examined, assessing their goodness of fit and their ability to explain the observed data. The results provide valuable insights into the behavior and characteristics of the dark energy models. The comparison with the standard models sheds light on the similarities and differences, while the information criteria analysis offers a quantitative assessment of their suitability. This analysis contributes to our understanding of the dynamics and evolution of the universe, furthering our knowledge of dark energy and its role in shaping the cosmos.
description: 17 pages, 24 figures. arXiv admin note: text overlap with arXiv:1507.00531 by other authors
On local delta invariant of del Pezzo surfaces
Creators: name: Alberdi, Erroxe Etxabarri
Publisher: name: arXiv
Year: 2023
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14J45, 32Q20

description: We complete the classification of local stability thresholds for smooth del Pezzo surfaces of degree~2. In particular, we show that this number is irrational if and only if a unique (-1)-curve passes through the point where we are computing the local invariant.
description: We generalize the result of the previous version, proving that for any point in a del Pezzo surface of degree 2 contained in a unique (-1)-curve the local stability threshold is irrational
Supplemental material for Sample size determination for semiparametric analysis of current status data
Creators: name: Wen, Chi-Chung
name: Yi-Hau Chen
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111099 Nursing not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material for Sample size determination for semiparametric analysis of current status data by Chi-Chung Wen and Yi-Hau Chen in Statistical Methods in Medical Research
DS_10.1177_0022034518756889 – Supplemental material for Tristetraprolin Is Required for Alveolar Bone Homeostasis
Creators: name: H.M. Steinkamp
name: J.D. Hathaway-Schrader
name: M.B. Chavez
name: J.D. Aartun
name: L. Zhang
name: T. Jensen
name: A. Shojaee Bakhtiari
name: K.L. Helke
name: D.J. Stumpo
name: A.V. Alekseyenko
name: C.M. Novince
name: P.J. Blackshear
name: K.L. Kirkwood
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 110599 Dentistry not elsewhere classified
subject: FOS: Clinical medicine
subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplemental material, DS_10.1177_0022034518756889 for Tristetraprolin Is Required for Alveolar Bone Homeostasis by H.M. Steinkamp, J.D. Hathaway-Schrader, M.B. Chavez, J.D. Aartun, L. Zhang, T. Jensen, A. Shojaee Bakhtiari, K.L. Helke, D.J. Stumpo, A.V. Alekseyenko, C.M. Novince, P.J. Blackshear and K.L. Kirkwood in Journal of Dental Research
Maximally localized Gabor orthonormal bases on locally compact Abelian groups
Creators: name: Nicola, Fabio
Publisher: name: arXiv
Year: 2023
Subjects: subject: Functional Analysis (math.FA)
subject: Operator Algebras (math.OA)
subject: FOS: Mathematics

description: A Gabor orthonormal basis, on a locally compact Abelian (LCA) group $A$, is an orthonormal basis of $L^2(A)$ which consists of time-frequency shifts of some template $f\in L^2(A)$. It is well-known that, on $\mathbb{R}^d$, the elements of such a basis cannot have a good time-frequency localization. The picture is drastically different on LCA groups containing a compact open subgroup, where one can easily construct examples of Gabor orthonormal bases with $f$ maximally localized, in the sense that the ambiguity function of $f$ (i.e. the correlation of $f$ with its time-frequency shifts) has support of minimum measure, compatibly with the uncertainty principle. In this paper we find all the Gabor orthonormal bases with this extremal property. To this end, we identify all the functions in $L^2(A)$ which are maximally localized in the time-frequency space in the above sense -- an issue which is open even for finite Abelian groups. As a byproduct, on every LCA group containing a compact open subgroup, we exhibit the complete family of optimizers for Lieb's uncertainty inequality, and we also show previously unknown optimizers on a general LCA group.
description: 23 pages
DS_10.1177_0022034518760855 – Supplemental material for Activation of Stimulator of Interferon Genes (STING) and Sjögren Syndrome
Creators: name: J. Papinska
name: H. Bagavant
name: G.B. Gmyrek
name: M. Sroka
name: S. Tummala
name: K.A. Fitzgerald
name: U.S. Deshmukh
Publisher: name: Figshare
Year: 2018
Subjects: subject: 110599 Dentistry not elsewhere classified
subject: FOS: Clinical medicine
subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplemental material, DS_10.1177_0022034518760855 for Activation of Stimulator of Interferon Genes (STING) and Sjögren Syndrome by J. Papinska, H. Bagavant, G.B. Gmyrek, M. Sroka, S. Tummala, K.A. Fitzgerald and U.S. Deshmukh in Journal of Dental Research
"Piecing Together Past Stories ": Commingled Human Remains From the Cemetery of the Third Order of Our Lady of Carmo (Porto, Portugal)
Creators: name: Rodrigues, Zélia
name: Malcherek, Anne
name: Fonseca, Jorge
name: Pereira, Graça
name: Fonseca, Vitor
name: Alves Cardoso, Francisca
Publisher: name: Zenodo
Year: 2024

description: This research explores secondary depositions (SD) identified and excavated during the archaeological intervention (2022-2024) at the cemetery of the Hospital of the Third Order or Our Lady of Carmo (CARMO) – Porto (Portugal). The cemetery operated between 1801 and 1869, a historical period marked by the Napoleonic wars in Europe, the Siege of Porto during the Civil Revolution and cholera pan/epidemics. The term SD is used loosely here to identify disarticulated and/or re-organised clusters of human remains resulting from post-depositional disturbances, intentional or not, after the primary burial of the body. This preliminary study categorised SD into different typologies based on their position, spatial and stratigraphic distribution, and bone element representation. Drawings, photographs, orthophotography, and on-site recording were used to build the profile of the depositions. To date, 140 SD clusters were identified, amongst which distinct types can be distinguished based on variations in the following features: minimum number of individuals (MNI), bones present, organisation of bone elements, presence/absence of burial container such as coffins, and spatial relation of SD to other architectural and burial features. The MNI per SD ranged from 1 to 250 and the total number of individuals recovered from SD is approximately 800. Some clusters show a distinct composition of bone elements present, for example being composed entirely of long bones and skulls. In terms of variation in spatial organisation SD were found both within and beyond the boundaries of the main cemetery. The stratigraphic data suggested that some SDs were produced after the cemetery's abandonment, and others occurred as part of the management of the burial space; all indicate distinct events and show the informative potential of SD in accessing historical events and cultural practices of past populations.

 

This poster was presented at The 30th EAA Annual Meeting, Rome, Italy  (28-31 August 2024).
CREMP: Conformer-rotamer ensembles of macrocyclic peptides for machine learning
Creators: name: Grambow, Colin A.
name: Weir, Hayley
name: Cunningham, Christian N.
name: Biancalani, Tommaso
name: Chuang, Kangway V.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Biomolecules (q-bio.BM)
subject: Machine Learning (cs.LG)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Biological sciences
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Computational and machine learning approaches to model the conformational landscape of macrocyclic peptides have the potential to enable rational design and optimization. However, accurate, fast, and scalable methods for modeling macrocycle geometries remain elusive. Recent deep learning approaches have significantly accelerated protein structure prediction and the generation of small-molecule conformational ensembles, yet similar progress has not been made for macrocyclic peptides due to their unique properties. Here, we introduce CREMP, a resource generated for the rapid development and evaluation of machine learning models for macrocyclic peptides. CREMP contains 36,198 unique macrocyclic peptides and their high-quality structural ensembles generated using the Conformer-Rotamer Ensemble Sampling Tool (CREST). Altogether, this new dataset contains nearly 31.3 million unique macrocycle geometries, each annotated with energies derived from semi-empirical extended tight-binding (xTB) DFT calculations. Additionally, we include 3,258 macrocycles with reported passive permeability data to couple conformational ensembles to experiment. We anticipate that this dataset will enable the development of machine learning models that can improve peptide design and optimization for novel therapeutics.
Bubble Necessity Theorem
Creators: name: Hirano, Tomohiro
name: Toda, Alexis Akira
Publisher: name: arXiv
Year: 2023
Subjects: subject: Theoretical Economics (econ.TH)
subject: Mathematical Finance (q-fin.MF)
subject: FOS: Economics and business

description: Asset price bubbles are situations where asset prices exceed the fundamental values defined by the present value of dividends. This paper presents a conceptually new perspective: the necessity of bubbles. We establish the Bubble Necessity Theorem in a plausible general class of economic models: with faster long-run economic growth ($G$) than dividend growth ($G_d$) and counterfactual long-run autarky interest rate ($R$) below dividend growth, all equilibria are bubbly with non-negligible bubble sizes relative to the economy. This bubble necessity condition naturally arises in economies with sufficiently strong savings motives and multiple factors or sectors with uneven productivity growth.
Supplemental Material, sj-docx-1-ppq-10.1177_1354068818777889 - Party responsiveness to public opinion and party supporters: Revisiting the mechanisms and motivations
Creators: name: Ferland, Benjamin
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental Material, sj-docx-1-ppq-10.1177_1354068818777889 for Party responsiveness to public opinion and party supporters: Revisiting the mechanisms and motivations by Benjamin Ferland in Party Politics
Prevalence of stability for smooth Blaschke product cocycles fixing the origin
Creators: name: González-Tokman, Cecilia
name: Peters, Joshua
Publisher: name: arXiv
Year: 2023
Subjects: subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: Primary: 37H30, Secondary: 37F10, 37H15

description: This work investigates the stability properties of Lyapunov exponents of transfer operator cocycles from a measure-theoretic perspective. Our results focus on so-called Blaschke product cocycles, a class of random dynamical systems amenable to rigorous analysis. We show that prevalence of stability is related to the dimension of the base system's domain, $Ω$. When $Ω=S^1$, we show that stability is prevalent among smooth monic quadratic Blaschke product cocycles fixing the origin by constructing a so-called probe. For higher dimensional $Ω$, we show that a probe does not exist, thus providing strong evidence that stability is not prevalent in this setting. Finally, through a perturbative method we show that almost every smooth Blaschke product cocycle fixing the origin is stable.
Supplemental Material, Appendix - The art of attracting international conferences to European cities
Creators: name: Falk, Martin
name: Hagsten, Eva
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: Economics
subject: 150402 Hospitality Management
subject: FOS: Economics and business

description: Supplemental Material, Appendix for The art of attracting international conferences to European cities by Martin Falk, Eva Hagsten in Tourism Economics
Supplemental Table1 -Supplemental material for Subcortical nuclei in Alzheimer’s disease: a volumetric and diffusion kurtosis imaging study
Creators: name: Wang, Ming-Liang
name: Xiao-Er Wei
name: Fu, Jian-Liang
name: Li, Wei
name: Yu, Meng-Meng
name: Peng-Yang Li
name: Li, Wen-Bin
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 110320 Radiology and Organ Imaging
subject: FOS: Clinical medicine

description: Supplemental material, Supplemental Table1 for Subcortical nuclei in Alzheimer’s disease: a volumetric and diffusion kurtosis imaging study by Ming-Liang Wang, Xiao-Er Wei, Jian-Liang Fu, Wei Li, Meng-Meng Yu, Peng-Yang Li and Wen-Bin Li in Acta Radiologica
Topic-Centric Explanations for News Recommendation
Creators: name: Liu, Dairui
name: Greene, Derek
name: Li, Irene
name: Jiang, Xuefei
name: Dong, Ruihai
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: News recommender systems (NRS) have been widely applied for online news websites to help users find relevant articles based on their interests. Recent methods have demonstrated considerable success in terms of recommendation performance. However, the lack of explanation for these recommendations can lead to mistrust among users and lack of acceptance of recommendations. To address this issue, we propose a new explainable news model to construct a topic-aware explainable recommendation approach that can both accurately identify relevant articles and explain why they have been recommended, using information from associated topics. Additionally, our model incorporates two coherence metrics applied to assess topic quality, providing measure of the interpretability of these explanations. The results of our experiments on the MIND dataset indicate that the proposed explainable NRS outperforms several other baseline systems, while it is also capable of producing interpretable topics compared to those generated by a classical LDA topic model. Furthermore, we present a case study through a real-world example showcasing the usefulness of our NRS for generating explanations.
description: 20 pages
One-dimensional $AB$ random sequential adsorption with one deposition per site
Creators: name: Amaral, Charles S. do
name: Santos, Diogo C. dos
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mathematical Physics (math-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We investigate a modified version of the $AB$ random sequential adsorption model. Specifically, this model involves the deposition of two distinct types of particles onto a lattice, with the constraint that different types cannot occupy neighboring sites. By restricting the deposition attempts to only one per site, we derive an analytical expression for the average densities of particles of types $A$ and $B$, at all time instances, for all deposition probabilities of each particle type.
Appendix_A – Supplemental material for ‘It’s Like Chicken Talking to Ducks’ and Other Challenges to Families of Chinese Immigrant Older Adults in Long-Term Residential Care
Creators: name: Koehn, Sharon
name: Baumbusch, Jennifer
name: R. Colin Reid
name: Neville (Ka Ming) Li
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 111099 Nursing not elsewhere classified
subject: FOS: Health sciences
subject: 160301 Family and Household Studies
subject: FOS: Sociology

description: Supplemental material, Appendix_A for ‘It’s Like Chicken Talking to Ducks’ and Other Challenges to Families of Chinese Immigrant Older Adults in Long-Term Residential Care by Sharon Koehn, Jennifer Baumbusch, R. Colin Reid, and Neville (Ka Ming) Li in Journal of Family Nursing
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Creators: name: Jin, Ming
name: Koh, Huan Yee
name: Wen, Qingsong
name: Zambon, Daniele
name: Alippi, Cesare
name: Webb, Geoffrey I.
name: King, Irwin
name: Pan, Shirui
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Time series are the primary data type used to record dynamic system measurements and generated in great volume by both physical sensors and online processes (virtual sensors). Time series analytics is therefore crucial to unlocking the wealth of information implicit in available data. With the recent advancements in graph neural networks (GNNs), there has been a surge in GNN-based approaches for time series analysis. These approaches can explicitly model inter-temporal and inter-variable relationships, which traditional and other deep neural network-based methods struggle to do. In this survey, we provide a comprehensive review of graph neural networks for time series analysis (GNN4TS), encompassing four fundamental dimensions: forecasting, classification, anomaly detection, and imputation. Our aim is to guide designers and practitioners to understand, build applications, and advance research of GNN4TS. At first, we provide a comprehensive task-oriented taxonomy of GNN4TS. Then, we present and discuss representative research works and introduce mainstream applications of GNN4TS. A comprehensive discussion of potential future research directions completes the survey. This survey, for the first time, brings together a vast array of knowledge on GNN-based time series research, highlighting foundations, practical applications, and opportunities of graph neural networks for time series analysis.
description: 37 pages, 6 figures, 7 tables; Project page: https://github.com/KimMeen/Awesome-GNN4TS
Explaining the unexplainable: leveraging extremal dependence to characterize the 2021 Pacific Northwest heatwave
Creators: name: Zhang, Likun
name: Risser, Mark D.
name: Wehner, Michael F.
name: O'Brien, Travis A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Applications (stat.AP)
subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences
subject: 62G32 (Primary), 62D20, 62M30 (Secondary)

description: In late June, 2021, a devastating heatwave affected the US Pacific Northwest and western Canada, breaking numerous all-time temperature records by large margins and directly causing hundreds of fatalities. The observed 2021 daily maximum temperature across much of the U.S. Pacific Northwest exceeded upper bound estimates obtained from single-station temperature records even after accounting for anthropogenic climate change, meaning that the event could not have been predicted under standard univariate extreme value analysis assumptions. In this work, we utilize a flexible spatial extremes model that considers all stations across the Pacific Northwest domain and accounts for the fact that many stations simultaneously experience extreme temperatures. Our analysis incorporates the effects of anthropogenic forcing and natural climate variability in order to better characterize time-varying changes in the distribution of daily temperature extremes. We show that greenhouse gas forcing, drought conditions and large-scale atmospheric modes of variability all have significant impact on summertime maximum temperatures in this region. Our model represents a significant improvement over corresponding single-station analysis, and our posterior medians of the upper bounds are able to anticipate more than 96% of the observed 2021 high station temperatures after properly accounting for extremal dependence.
description: 19 pages, 4 figures and 2 tables
title: The Messages of Mute Machines: Human-Machine Communication with Industrial Technologies
title: Messages of Mute Machines
titleType: AlternativeTitle
Creators: name: Guzman, Andrea L
Publisher: name: University of Massachusetts Amherst
Year: 2016
Subjects: subject: Human-Machine Communication
subject: Human-Computer Interaction
subject: Media Studies
subject: Manufacturing Machines
subject: Industrial Robots
subject: Automation
subject: Cybernetics
subject: Journalism
subject: Communication
subject: Communication Technology and New Media

description: This essay argues for the designation of industrial and manufacturing machines as technologies of communication. Within communication scholarship, ICTs are synonymous with the word technology. Many of our theories regarding technology are based on human interaction with and through ICTs. However, ICTs are not the only technologies involved in communication. Drawing on scholarship from media studies, human-machine communication, and science and technology studies, I demonstrate how people’s interactions with “mute” technologies constitute communication. Industrial processes could not occur without the exchange of information between human and machine, and these industrial “rituals” between human and machine produce a particular reality for the worker and the organization. I argue that to understand communication in a machine culture in which people are constantly interacting with a variety of technologies, communication scholars must begin to study the multiplicity of machines and devices that are part of our lives.
On the Cut Locus of Submanifolds of a Finsler Manifold
Creators: name: Bhowmick, Aritra
name: Prasad, Sachchidanand
Publisher: name: arXiv
Year: 2023
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: Primary: 53C22, 53B40, Secondary: 53C60

description: In this article, we investigate the cut locus of closed (not necessarily compact) submanifolds in a forward complete Finsler manifold. We explore the deformation and characterization of the cut locus, extending the results of Basu and the second author (\emph{Algebraic and Geometric Topology}, 2023). Given a submanifold $N$, we consider an $N$-geodesic loop as an $N$-geodesic starting and ending in $N$, possibly at different points. This class of geodesics were studied by Omori (\emph{Journal of Differential Geometry}, 1968). We obtain a generalization of Klingenberg's lemma for closed geodesics (\emph{Annals of Mathematics}, 1959) for $N$-geodesic loops in the reversible Finsler setting.
description: 37 pages, 8 figures. Published in the Journal of Geometric Analysis
Scalable quantum measurement error mitigation via conditional independence and transfer learning
Creators: name: Lee, ChangWon
name: Park, Daniel K.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Mitigating measurement errors in quantum systems without relying on quantum error correction is of critical importance for the practical development of quantum technology. Deep learning-based quantum measurement error mitigation has exhibited advantages over the linear inversion method due to its capability to correct non-linear noise. However, scalability remains a challenge for both methods. In this study, we propose a scalable quantum measurement error mitigation method that leverages the conditional independence of distant qubits and incorporates transfer learning techniques. By leveraging the conditional independence assumption, we achieve an exponential reduction in the size of neural networks used for error mitigation. This enhancement also offers the benefit of reducing the number of training data needed for the machine learning model to successfully converge. Additionally, incorporating transfer learning provides a constant speedup. We validate the effectiveness of our approach through experiments conducted on IBM quantum devices with 7 and 13 qubits, demonstrating excellent error mitigation performance and highlighting the efficiency of our method.
description: 9 pages, 6 figures
Janus-faced tomograms and retrieval of quadrature moments for $q$-deformed states
Creators: name: Kannan, S.
name: Sudheesh, C.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: In this work, we derive the optical tomograms of various $q$-deformed quantum states. We found that the optical tomograms of the states under consideration exhibit a fascinating `Janus faced' nature, irrespective of the deformation parameter $q$. We also derived a general method to extract the quadrature moments from the optical tomograms of any $q$-deformed states. We also note that this technique can be used in high-precision experiments to observe deviations from the standard quantum mechanical behavior.
Недоразумения и ошибки в общении при использовании омонимов и многозначных слов
Creators: name: Самандарова Г.С.
Publisher: name: Zenodo
Year: 2024

description: данная статья посвящена анализу  недоразумений и ошибок при использовании омонимов и многозначных слов. Рассматриваются проблемы и сложности, связанные с омонимией. Описываются недоразумения и ошибки, их использование в коммуникации.
BD-18-OR-0013-R1_Appendix_Tables – Supplemental material for Examination of American Indian/Alaska Native School Discipline Disproportionality Using the Vulnerable Decision Points Approach
Creators: name: Gion, Cody
name: McIntosh, Kent
name: Smolkowski, Keith
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: Education
subject: 130312 Special Education and Disability
subject: FOS: Educational sciences

description: Supplemental material, BD-18-OR-0013-R1_Appendix_Tables for Examination of American Indian/Alaska Native School Discipline Disproportionality Using the Vulnerable Decision Points Approach by Cody Gion, Kent McIntosh and Keith Smolkowski in Behavioral Disorders
EMID: An Emotional Aligned Dataset in Audio-Visual Modality
Creators: name: Zou, Jialing
name: Mei, Jiahao
name: Ye, Guangze
name: Huai, Tianyu
name: Shen, Qiwei
name: Dong, Daoguo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Multimedia (cs.MM)
subject: FOS: Computer and information sciences

description: In this paper, we propose Emotionally paired Music and Image Dataset (EMID), a novel dataset designed for the emotional matching of music and images, to facilitate auditory-visual cross-modal tasks such as generation and retrieval. Unlike existing approaches that primarily focus on semantic correlations or roughly divided emotional relations, EMID emphasizes the significance of emotional consistency between music and images using an advanced 13-dimension emotional model. By incorporating emotional alignment into the dataset, it aims to establish pairs that closely align with human perceptual understanding, thereby raising the performance of auditory-visual cross-modal tasks. We also design a supplemental module named EMI-Adapter to optimize existing cross-modal alignment methods. To validate the effectiveness of the EMID, we conduct a psychological experiment, which has demonstrated that considering the emotional relationship between the two modalities effectively improves the accuracy of matching in abstract perspective. This research lays the foundation for future cross-modal research in domains such as psychotherapy and contributes to advancing the understanding and utilization of emotions in cross-modal alignment. The EMID dataset is available at https://github.com/ecnu-aigc/EMID.
description: Accepted by ACM MM workshop McGE 2023: Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice
Open string stub as an auxiliary string field
Creators: name: Erbin, Harold
name: Fırat, Atakan Hilmi
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Witten's open string field theory with a generalized version of stubs is reformulated as a cubic string field theory using an auxiliary string field. The gauge symmetries and equations of motion as well as the associative algebra of the resulting theory are investigated. Integrating out either the original or auxiliary field is shown to recover the conventional cubic theory. Our analysis demonstrates that deformations due to the stubs can be described as a homotopy transfer purely in the context of strong deformation retract. We also discuss to what extent the vertex regions resulting from stubs provide a model for the elementary interactions of closed string field theory.
description: 29+10 pages, 3 figures; v2: version published in SciPost
Patihis_Open_Practices_Disclosure – Supplemental material for Reports of Recovered Memories of Abuse in Therapy in a Large Age-Representative U.S. National Sample: Therapy Type and Decade Comparisons
Creators: name: Patihis, Lawrence
name: Pendergrast, Mark H.
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, Patihis_Open_Practices_Disclosure for Reports of Recovered Memories of Abuse in Therapy in a Large Age-Representative U.S. National Sample: Therapy Type and Decade Comparisons by Lawrence Patihis and Mark H. Pendergrast in Clinical Psychological Science
Patihis_Supplemental_Material – Supplemental material for Reports of Recovered Memories of Abuse in Therapy in a Large Age-Representative U.S. National Sample: Therapy Type and Decade Comparisons
Creators: name: Patihis, Lawrence
name: Pendergrast, Mark H.
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, Patihis_Supplemental_Material for Reports of Recovered Memories of Abuse in Therapy in a Large Age-Representative U.S. National Sample: Therapy Type and Decade Comparisons by Lawrence Patihis and Mark H. Pendergrast in Clinical Psychological Science
Channel sensing for holographic interference surfaces based on the principle of interferometry
Creators: name: Huang, Jindiao
name: Wu, Yuyao
name: Yin, Haifan
name: Zhang, Yuhao
name: Zhang, Ruikun
Publisher: name: arXiv
Year: 2023
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The Holographic Interference Surface (HIS) provides a new paradigm for building a more cost-effective wireless communication architecture. In this paper, we derive the principles of holographic interference theory for electromagnetic wave reception and transmission, whereby the optical holography is extended to communication holography and a channel sensing architecture for holographic interference surfaces is established. Unlike the traditional pilot-based channel estimation approaches, the proposed architecture circumvents the complicated processes like filtering, analog to digital conversion (ADC), down conversion. Instead, it relies on interfering the object waves with a pre-designed reference wave, and therefore reduces the hardware complexity and requires less time-frequency resources for channel estimation. To address the self-interference problem in the holographic recording process, we propose a phase shifting-based interference suppression (PSIS) method according to the structural characteristics of communication hologram and interference composition. We then propose a Prony-based multi-user channel segmentation (PMCS) algorithm to acquire the channel state information (CSI). Our theoretical analysis shows that the estimation error of the PMCS algorithm converges to zero when the number of HIS units is large enough. Simulation results show that under the holographic architecture, our proposed algorithm can accurately estimate the CSI in multi-user scenarios.
Consistent actions for massive particles interacting with electromagnetism and gravity
Creators: name: Lindwasser, Lukas W.
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Consistent interactions with electromagnetism and gravity for mass $m$ particles of any spin are obtained. This is done by finding interactions which preserve the covariantized massive gauge symmetry present in recently constructed massive particle actions. This gauge principle is sufficient for finding consistent completions of minimal as well as non-minimal couplings of any type. For spins $s\geq 3/2$, consistency requires infinitely many interaction terms in the action, including arbitrarily high order derivatives of electromagnetic and gravitational curvatures, with correspondingly high powers of $1/m$. These interactions may be formally resummed and expressed in terms of non-local operators. Finally, although the interactions appear non-local, evidence is presented for the existence of a field redefinition which makes the interacting action local. This work provides the first explicit realization of an exactly gauge invariant formulation of massive particles interacting with electromagnetism and gravity.
description: v1, 29 pages; v2, 30 pages: interactions linear in matter fields added; v3, published version
Supplemental Figure, Dean_Supplemental_Material – Motor Clusters Reveal Differences in Risk for Psychosis, Cognitive Functioning, and Thalamocortical Connectivity: Evidence for Vulnerability Subtypes
Creators: name: Dean, Derek J.
name: Walther, Sebastian
name: Bernard, Jessica A.
name: Mittal, Vijay A.
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental Figure, Dean_Supplemental_Material for Motor Clusters Reveal Differences in Risk for Psychosis, Cognitive Functioning, and Thalamocortical Connectivity: Evidence for Vulnerability Subtypes by Derek J. Dean, Sebastian Walther, Jessica A. Bernard, and Vijay A. Mittal in Clinical Psychological Science
Small systems and the single-hit approximation in the AMY parton cascade ALPACA
Creators: name: Törnkvist, Robin
name: Zapp, Korinna
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Understanding how momentum anisotropies arise in small collision systems is important for a quantitative understanding of collectivity in terms of QCD dynamics in small and large collision systems. In this letter we present results for small collision systems from the newly developed parton cascade \textsc{Alpaca}, which faithfully encodes the AMY effective kinetic theory. \textsc{Alpaca} reproduces quantitatively previously know results from a calculation in the single-hit approximation for small values of the coupling. We discuss in detail how such a comparison is to be carried out. Particularly at larger coupling a generic differences between the two approaches becomes apparent, namely that in parton cascades particles interact over a finite distance while in direct integrations of the Boltzmann equation the interactions are local. This leads to quantitative differences in the extracted values for the elliptic flow coefficient. These discrepancies appear in situations where the mean free path is not large compared to the interaction time and the applicability of kinetic theory is thus questionable.
description: expanded discussion, version accepted for publication
Deciphering significant interaction between Clp1 (CF IA) and Ssu72 (CPF) in pre-mRNA processing via in silico approaches
Creators: name: Kaur, Mandeep
name: Agrawal, Prakhar
name: Singh, Gurpal
name: Kumar, Ganesan Senthil
name: Barnwal, Ravi Pratap
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: The cleavage and polyadenylation step are indispensable for pre-mRNA processing in eukaryotes. Defective 3′- end maturation of precursor mRNA has catastrophic effects, leading to several diseases in humans. This processing is orchestrated by a complex machinery comprising more than 20 proteins in Saccharomyces cerevisiae. Endonucleolytic cleavage followed by the addition of poly(A) tail at the 3′-end of the precursor mRNA requires CPF, CF IA and CF IB proteins. Clp1, a protein factor of the CF IA sub-unit is indispensable for the functioning of this machinery. Based on in silico analysis including molecular docking via different docking servers and molecular dynamics (MD) simulations, the current study provides key evidence of the Clp1 N-terminal (1–100 amino acids) domain’s interaction with Ssu72. MD simulations consolidate this binding between Clp1 and Ssu72. Our study presents strong evidence of a model where Clp1 (CF IA) associates with Ssu72 (CPF) and both the proteins are vital for tethering the complex for mediating cleavage and polyadenylation reaction during the key events of pre-mRNA 3′-end processing. These findings may pave the way to decipher the individual roles of Clp1 and Ssu72 during pre-mRNA maturation.
SUPLLEMENTARY_APR – Supplemental material for Copy and Paste Lawmaking: Legislative Professionalism and Policy Reinvention in the States
Creators: name: Jansa, Joshua M.
name: Hansen, Eric R.
name: Gray, Virginia H.
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental material, SUPLLEMENTARY_APR for Copy and Paste Lawmaking: Legislative Professionalism and Policy Reinvention in the States by Joshua M. Jansa, Eric R. Hansen and Virginia H. Gray in American Politics Research
MSRC_CDE_Measurement_Invariance_Supplemental_Materials_R3_2018-4-20 – Supplemental material for The Military Suicide Research Consortium Common Data Elements: An Examination of Measurement Invariance Across Current Service Members and Veterans
Creators: name: Stanley, Ian H.
name: Buchman-Schmitt, Jennifer M.
name: Chu, Carol
name: Rogers, Megan L.
name: Gai, Anna R.
name: Wagner, Richard K.
name: Gutierrez, Peter M.
name: Joiner, Thomas E.
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, MSRC_CDE_Measurement_Invariance_Supplemental_Materials_R3_2018-4-20 for The Military Suicide Research Consortium Common Data Elements: An Examination of Measurement Invariance Across Current Service Members and Veterans by Ian H. Stanley, Jennifer M. Buchman-Schmitt, Carol Chu, Megan L. Rogers, Anna R. Gai, Richard K. Wagner, Peter M. Gutierrez, and Thomas E. Joiner in Assessment
CaloShowerGAN, a Generative Adversarial Networks model for fast calorimeter shower simulation
Creators: name: Giannelli, Michele Faucci
name: Zhang, Rui
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: In particle physics, the demand for rapid and precise simulations is rising. The shift from traditional methods to machine learning-based approaches has led to significant advancements in simulating complex detector responses. CaloShowerGAN is a new approach for fast calorimeter simulation based on Generative Adversarial Network (GAN). We use Dataset 1 of the Fast Calorimeter Simulation Challenge 2022 to demonstrate the efficacy of the model to simulate calorimeter showers produced by photons and pions. The dataset is originated from the ATLAS experiment, and we anticipate that this approach can be seamlessly integrated into the ATLAS system. This development brings a significant improvement compared to the deployed GANs by ATLAS and could offer great enhancement to the current ATLAS fast simulations.
description: 26 pages, 17 figures, 5 tables, Inspire https://inspirehep.net/literature/2697185
Indian-BhED: A Dataset for Measuring India-Centric Biases in Large Language Models
Creators: name: Khandelwal, Khyati
name: Tonneau, Manuel
name: Bean, Andrew M.
name: Kirk, Hannah Rose
name: Hale, Scott A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Large Language Models (LLMs), now used daily by millions, can encode societal biases, exposing their users to representational harms. A large body of scholarship on LLM bias exists but it predominantly adopts a Western-centric frame and attends comparatively less to bias levels and potential harms in the Global South. In this paper, we quantify stereotypical bias in popular LLMs according to an Indian-centric frame through Indian-BhED, a first of its kind dataset, containing stereotypical and anti-stereotypical examples in the context of caste and religious stereotypes in India. We find that the majority of LLMs tested have a strong propensity to output stereotypes in the Indian context, especially when compared to axes of bias traditionally studied in the Western context, such as gender and race. Notably, we find that GPT-2, GPT-2 Large, and GPT 3.5 have a particularly high propensity for preferring stereotypical outputs as a percent of all sentences for the axes of caste (63-79%) and religion (69-72%). We finally investigate potential causes for such harmful behaviour in LLMs, and posit intervention techniques to reduce both stereotypical and anti-stereotypical biases. The findings of this work highlight the need for including more diverse voices when researching fairness in AI and evaluating LLMs.
description: To be published in GoodIT '24, doi:10.1145/3677525.3678666. 14 pages
Collective randomized measurements in quantum information processing
Creators: name: Imai, Satoya
name: Tóth, Géza
name: Gühne, Otfried
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The concept of randomized measurements on individual particles has proven to be useful for analyzing quantum systems and is central for methods like shadow tomography of quantum states. We introduce $\textit{collective}$ randomized measurements as a tool in quantum information processing. Our idea is to perform measurements of collective angular momentum on a quantum system and actively rotate the directions using simultaneous multilateral unitaries. Based on the moments of the resulting probability distribution, we propose systematic approaches to characterize quantum entanglement in a collective-reference-frame-independent manner. First, we show that existing spin-squeezing inequalities can be accessible in this scenario. Next, we present an entanglement criterion based on three-body correlations, going beyond spin-squeezing inequalities with two-body correlations. Finally, we apply our method to characterize entanglement between spatially-separated two ensembles.
description: 20 pages, 6 figures