cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
sj-docx-1-phr-10.1177_00333549231201679 – Supplemental material for Exposures to Bleach, Peroxide, Disinfectants, Antimalarials, and Ivermectin Reported to the California Poison Control System Before and During the COVID-19 Pandemic, 2015-2021
Creators: name: Ghai, Alice
name: Sabour, Emily
name: Salonga, Raeann
name: Ho, Raymond
name: Apollonio, Dorie E.
Publisher: name: SAGE Journals
Year: 2023
Subjects: Public Health and Health Services not elsewhere classified

description: Supplemental material, sj-docx-1-phr-10.1177_00333549231201679 for Exposures to Bleach, Peroxide, Disinfectants, Antimalarials, and Ivermectin Reported to the California Poison Control System Before and During the COVID-19 Pandemic, 2015-2021 by Alice Ghai, Emily Sabour, Raeann Salonga, Raymond Ho and Dorie E. Apollonio in Public Health Reports
Additional file 6 of Risk stratification tools for patients with syncope in emergency medical services and emergency departments: a scoping review
Creators: name: uit het Broek, Lucia G.
name: Ort, B. Bastiaan A.
name: Vermeulen, Hester
name: Pelgrim, Thomas
name: Vloet, Lilian C.M.
name: Berben, Sivera A.A.
Publisher: name: figshare
Year: 2023
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified

description: Additional file 6: Quality assessment of included studies
sj-docx-2-hpx-10.1177_00185787231208962 – Supplemental material for Safety and Effectiveness of an Anti-Xa-based Unfractionated Heparin Protocol for Impella Percutaneous Ventricular Assist Devices
Creators: name: Berman, Sarah Emma
name: Lozano, Lauren
name: Kitten, Amanda
name: Lusk, Kathleen
name: Franco-Martinez, Crystal
name: Hopper, Stephanie
name: Prasad, Anand
Publisher: name: SAGE Journals
Year: 2023
Subjects: Pharmacology and Pharmaceutical Sciences not elsewhere classified

description: Supplemental material, sj-docx-2-hpx-10.1177_00185787231208962 for Safety and Effectiveness of an Anti-Xa-based Unfractionated Heparin Protocol for Impella Percutaneous Ventricular Assist Devices by Sarah Emma Berman, Lauren Lozano, Amanda Kitten, Kathleen Lusk, Crystal Franco-Martinez, Stephanie Hopper and Anand Prasad in Hospital Pharmacy
Experimental observation of ABCB stacked tetralayer graphene
Creators: name: Wirth, Konstantin G.
name: Profe, Jonas B.
name: Rothstein, Alexander
name: Kyoseva, Hristiyana
name: Siebenkotten, Dario
name: Conrads, Lukas
name: Klebl, Lennart
name: Fischer, Ammon
name: Beschoten, Bernd
name: Stampfer, Christoph
name: Kennes, Dante M.
name: Waldecker, Lutz
name: Taubner, Thomas
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: In tetralayer graphene, three inequivalent layer stackings should exist, however, only rhombohedral (ABCA) and Bernal (ABAB) stacking have so far been observed. The three stacking sequences differ in their electronic structure, with the elusive third stacking (ABCB) being unique as it is predicted to exhibit an intrinsic bandgap as well as locally flat bands around the K points. Here, we use scattering-type scanning near-field optical microscopy and confocal Raman microscopy to identify and characterize domains of ABCB stacked tetralayer graphene. We differentiate between the three stacking sequences by addressing characteristic interband contributions in the optical conductivity between 0.28 and 0.56 eV with amplitude and phase-resolved near-field nano-spectroscopy. By normalizing adjacent flakes to each other, we achieve good agreement between theory and experiment, allowing for the unambiguous assignment of ABCB domains in tetralayer graphene. These results establish near-field spectroscopy at the interband transitions as a semi-quantitative tool, enabling the recognition of ABCB domains in tetralyer graphene flakes and therefore, providing a basis to study correlation physics of this exciting phase.
Synthesis of Stabilizing Recurrent Equilibrium Network Controllers
Creators: name: Junnarkar, Neelay
name: Yin, He
name: Gu, Fangda
name: Arcak, Murat
name: Seiler, Peter
Publisher: name: arXiv
Year: 2022
Subjects: subject: Systems and Control (eess.SY)
subject: Artificial Intelligence (cs.AI)
subject: Robotics (cs.RO)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: We propose a parameterization of a nonlinear dynamic controller based on the recurrent equilibrium network, a generalization of the recurrent neural network. We derive constraints on the parameterization under which the controller guarantees exponential stability of a partially observed dynamical system with sector bounded nonlinearities. Finally, we present a method to synthesize this controller using projected policy gradient methods to maximize a reward function with arbitrary structure. The projection step involves the solution of convex optimization problems. We demonstrate the proposed method with simulated examples of controlling nonlinear plants, including plants modeled with neural networks.
description: Submitted to IEEE CDC 2022. arXiv admin note: text overlap with arXiv:2109.03861
Starspots That Induce No Temporal Variability Confound Fundamental Stellar Properties.
Creators: name: Gully-Santiago, Michael
Publisher: name: Zenodo
Year: 2018
Subjects: starspots
astrophysics
coolstars20
IGRINS

description: Longitudinally asymmetric starspots modulate observed stellar flux as stars rotate, an assumption underpinning the majority of stellar rotation studies and gyrochronology. Longitudinally symmetric starspots induce no lightcurve modulation, and remain largely unquantified owing to their lack of temporal variability. Growing evidence for polar starspots suggests that the areal coverage fraction of starspots may be significantly underestimated, questioning the reliability of standard pre-main sequence evolutionary models and derived stellar masses and ages. I have developed a flexible two-component spectral inference framework to measure starspot area and temperature from composite spectra of spotted stars. The framework provides exceptional constraints on the total starspot coverage of a stellar hemisphere, especially when combined with high-resolution high-bandwidth near infrared spectroscopy, such as IGRINS or iSHELL. I propose a path forward for evaluating starspot-induced biases in star cluster ages, eclipsing binary radii, and exoplanet transit depths.
Additional file 1 of Analysis of the dynamic changes in gut microbiota in patients with different severity in sepsis
Creators: name: Liu, Yanli
name: Guo, Yanan
name: Hu, Su
name: Wang, Yujun
name: Zhang, Lijuan
name: Yu, Li
name: Geng, Feng
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Ecology

description: Additional file 1: Supplemental Figure 1. The microbial composition of fecal samples at the phylum level.
Automatic Stack Velocity Picking Using an Unsupervised Ensemble Learning Method
Creators: name: Wang, H. T.
name: Zhang, J. S.
name: Zhang, C. X.
name: Zhao, Z. X.
name: Geng, W. F.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Seismic velocity picking algorithms that are both accurate and efficient can greatly speed up seismic data processing, with the primary approach being the use of velocity spectra. Despite the development of some supervised deep learning-based approaches to automatically pick the velocity, they often come with costly manual labeling expenses or lack interpretability. In comparison, using physical knowledge to drive unsupervised learning techniques has the potential to solve this problem in an efficient manner. We suggest an Unsupervised Ensemble Learning (UEL) approach to achieving a balance between reliance on labeled data and picking accuracy, with the aim of determining the stack velocity. UEL makes use of the data from nearby velocity spectra and other known sources to help pick efficient and reasonable velocity points, which are acquired through a clustering technique. Testing on both the synthetic and field data sets shows that UEL is more reliable and precise in auto-picking than traditional clustering-based techniques and the widely used Convolutional Neural Network (CNN) method.
Collisional Thinking Theory (CTT)
Creators: name: Khawaldeh, Jalal
Publisher: name: OSF
Year: 2025
Subjects: Accelerated Consciousness
Artificial Intelligence
Cognitive Evolution
Collisional Thinking
Collisional Thinking Theory
Collisional Thinking, Creative Cognition, Waste of Thinking, Accelerated Consciousness, Future-Oriented Thinking, Artificial Intelligence, Cognitive Evolution, Neuroscience, Computational Theory of Mind, Leadership, Innovation
Computational Theory of Mind
Consciousness
Creative Cognition
Future-Oriented Thinking
Innovation
Leadership
Neuroscience
Theory of Mind
Waste of Thinking

description: The Collisional Thinking Theory (CTT) introduces a groundbreaking framework for understanding and enhancing human cognitive processes, particularly in the context of rapidly advancing artificial intelligence (AI) technologies. At its core, CTT redefines creativity and problem-solving by emphasizing the deliberate collision of diverse, contrasting, and even discarded ideas—referred to as "Waste Thinking"—to generate innovative solutions and accelerate human awareness. This process not only unlocks untapped creative potential but also positions CTT as a necessity in the age of AI, serving as a foundation for the post-critical thinking era where human cognition must evolve to keep pace with technological advancements.
Deep Learning-Based MR Image Re-parameterization
Creators: name: Narang, Abhijeet
name: Raj, Abhigyan
name: Pop, Mihaela
name: Ebrahimi, Mehran
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Magnetic resonance (MR) image re-parameterization refers to the process of generating via simulations of an MR image with a new set of MRI scanning parameters. Different parameter values generate distinct contrast between different tissues, helping identify pathologic tissue. Typically, more than one scan is required for diagnosis; however, acquiring repeated scans can be costly, time-consuming, and difficult for patients. Thus, using MR image re-parameterization to predict and estimate the contrast in these imaging scans can be an effective alternative. In this work, we propose a novel deep learning (DL) based convolutional model for MRI re-parameterization. Based on our preliminary results, DL-based techniques hold the potential to learn the non-linearities that govern the re-parameterization.
description: A. Narang, A. Raj, M. Pop and M. Ebrahimi, "Deep Learning-Based MR Image Re-parameterization," 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), Las Vegas, NV, USA, 2023, pp. 536-541, doi: 10.1109/CSCE60160.2023.00094
A passive bias-free ultrabroadband optical isolator based on unidirectional self-induced transparency
Creators: name: Wu, Haodong
name: Tang, Jiangshan
name: Chen, Mingyuan
name: Xiao, Min
name: Nori, Franco
name: Xia, Keyu
name: Lu, Yanqing
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Physical sciences

description: Achieving a broadband nonreciprocal device without gain and any external bias is very challenging and highly desirable for modern photonic technologies and quantum networks. Here, we theoretically propose a passive and bias-free all-optical isolator for a femtosecond laser pulse by exploiting a new mechanism of unidirectional self-induced transparency, obtained with a nonlinear medium followed by a normal absorbing medium at one side. The transmission contrast between the forward and backward directions can reach ~14.3 dB for a 2π5 fs laser pulse, implying isolation of a signal with an ultrabroad bandwidth of 200 THz. The 20 dB bandwidth is about 57 nm, already comparable with a magneto-optical isolator. This cavity-free optical isolator may pave the way to integrated nonmagnetic isolation of ultrashort laser pulses.
Additional file 2 of Analysis of the dynamic changes in gut microbiota in patients with different severity in sepsis
Creators: name: Liu, Yanli
name: Guo, Yanan
name: Hu, Su
name: Wang, Yujun
name: Zhang, Lijuan
name: Yu, Li
name: Geng, Feng
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Ecology

description: Additional file 2: Supplemental Figure 2. Serial changes in the ratio of Firmicutes to Bacteroidetes.
The Fish and Fisheries of Canadian Lake Superior
Creators: name: Goodier, John L.
Publisher: name: Institute for Environmental Studies, University of Toronto
Year: 1982
Subjects: Great Lakes
Lake Superior
commercial fisheries
Sault Ste. Marie
Port Coldwell
Jackfish
Rossport
Thunder Bay
The Lakehead
Michipicoten Island
whitefish
lake herring
Coregonus
walleye
chub
northern pike
yellow perch
lake sturgeon
salmon
lake trout
brook trout
rainbow trout
A. Booth & Co.
spawning ground
fish hatchery
native fishery
gill net
pound net
fisherman
overfishing
tugboat

description: The story of the American commercial fisheries on Lake Superior has been told in some detail. Historical summaries of Canada's industry are few and of limited scope, however.

The first part of this report outlines the history of the Canadian Lake Superior fisheries from their inception until the present day. Industry growth was rapid after 1880, largely under the impetus of American investment and monopolization. Stages of development are examined and information concerning the fishing ports and stations, and major companies and fishermen is summarized. Production figures are drawn largely from government records: these are critically assessed for validity.

In a second section, biological and ecological features of the lake's individual fish species are examined. Spawning grounds are summarized with texts, tables, and maps, and species' movements and interactions are noted. In the context of this body of information, attention is given to the existence of discrete stocks. Through time there have occurred changes in fish habits, habitats, and abundances: these are reviewed along with their possible causes.

Records collected during the course of this study are available at the website https://northshorefisheries.net and deposited with the Archives of Ontario, Toronto.
Near-Term Advances in Quantum Natural Language Processing
Creators: name: Widdows, Dominic
name: Alexander, Aaranya
name: Zhu, Daiwei
name: Zimmerman, Chase
name: Majumder, Arunava
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Quantum Physics (quant-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: This paper describes experiments showing that some tasks in natural language processing (NLP) can already be performed using quantum computers, though so far only with small datasets.
 We demonstrate various approaches to topic classification. The first uses an explicit word-based approach, in which word-topic scoring weights are implemented as fractional rotations of individual qubit, and a new phrase is classified based on the accumulation of these weights in a scoring qubit using entangling controlled-NOT gates. This is compared with more scalable quantum encodings of word embedding vectors, which are used in the computation of kernel values in a quantum support vector machine: this approach achieved an average of 62% accuracy on classification tasks involving over 10000 words, which is the largest such quantum computing experiment to date.
 We describe a quantum probability approach to bigram modeling that can be applied to sequences of words and formal concepts, investigating a generative approximation to these distributions using a quantum circuit Born machine, and an approach to ambiguity resolution in verb-noun composition using single-qubit rotations for simple nouns and 2-qubit controlled-NOT gates for simple verbs.
 The smaller systems described have been run successfully on physical quantum computers, and the larger ones have been simulated. We show that statistically meaningful results can be obtained using real datasets, but this is much more difficult to predict than with easier artificial language examples used previously in developing quantum NLP systems.
 Other approaches to quantum NLP are compared, partly with respect to contemporary issues including informal language, fluency, and truthfulness.
A Framework For Quality Management In The Biomedical Research Infrastructures (Bms Ris)
Creators: name: BBMRI-ERIC
name: EATRIS
name: ECRIN
name: ELIXIR
name: EMBRC
name: EMPHASIS
name: ERINHA
name: EU-OPENSCREEN
name: Euro-BioImaging
name: INFRAFRONTIER
name: Instruct
name: ISBE
name: MIRRI
Publisher: name: Zenodo
Year: 2017
Subjects: Quality Management, Biomedical Research, Research Infrastructure, ESFRI, CORBEL

description: Thirteen biomedical research infrastructures (BMS RIs) have been prioritised by the European Strategy Forum on Research Infrastructures as ESFRI Projects or ESFRI Landmarks. This working paper describes a core set of eight principles on quality management recognised by all BMS RIs.
Additional file 3 of Analysis of the dynamic changes in gut microbiota in patients with different severity in sepsis
Creators: name: Liu, Yanli
name: Guo, Yanan
name: Hu, Su
name: Wang, Yujun
name: Zhang, Lijuan
name: Yu, Li
name: Geng, Feng
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Ecology

description: Additional file 3: Supplemental Figure 3. Association between Antibiotics and fecal microbiota composition at the phylum level in patients with sepsis.
Markov Categories and Entropy
Creators: name: Perrone, Paolo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Theory (cs.IT)
subject: Logic in Computer Science (cs.LO)
subject: Category Theory (math.CT)
subject: Probability (math.PR)
subject: Statistics Theory (math.ST)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: 18D20, 18M35, 60A05, 62A09, 68Q55, 94A17

description: Markov categories are a novel framework to describe and treat problems in probability and information theory.
 In this work we combine the categorical formalism with the traditional quantitative notions of entropy, mutual information, and data processing inequalities. We show that several quantitative aspects of information theory can be captured by an enriched version of Markov categories, where the spaces of morphisms are equipped with a divergence or even a metric.
 As it is customary in information theory, mutual information can be defined as a measure of how far a joint source is from displaying independence of its components.
 More strikingly, Markov categories give a notion of determinism for sources and channels, and we can define entropy exactly by measuring how far a source or channel is from being deterministic. This recovers Shannon and Rényi entropies, as well as the Gini-Simpson index used in ecology to quantify diversity, and it can be used to give a conceptual definition of generalized entropy.
description: 54 pages
sj-docx-5-aln-10.1177_11771801221117183 – Supplemental material for Well-being index of Indigenous people of Peninsular Malaysia: an application of the multidimensional poverty index (MPI)
Creators: name: Saifullah, Md. Khaled
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: Sociology
subject: FOS: Sociology

description: Supplemental material, sj-docx-5-aln-10.1177_11771801221117183 for Well-being index of Indigenous people of Peninsular Malaysia: an application of the multidimensional poverty index (MPI) by Md. Khaled Saifullah in AlterNative: An International Journal of Indigenous Peoples
title: Statement by International Lawyers, ESIL Members, and ESIL Interest Group Convenors related to the 2025 ESIL Annual Conference at Freie Universität Berlin
Creators: name: Raab, Leopold
Publisher: name: Fachinformationsdienst für internationale und interdisziplinäre Rechtsforschung
Year: 2025
Subjects: subject: 341

description: Völkerrechtsblog
Superconductivity of repulsive spinless fermions with sublattice potentials
Creators: name: He, Yuchi
name: Yang, Kang
name: Profe, Jonas B.
name: Bergholtz, Emil J.
name: Kennes, Dante M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We explore unconventional superconductivity of repulsive spinless fermions on square and honeycomb lattices with staggered sublattice potentials. The two lattices can exhibit staggered $d$-wave and $f$-wave pairing, respectively, at low doping stemming from an effective two-valley band structure. At higher doping, in particular, the square lattice displays a much richer phase diagram including topological $p+ip$ superconductivity which is induced by a qualitatively different mechanism compared to the $d$-wave pairing. We illuminate this from several complementary perspectives: We analytically perform sublattice projection to analyze the effective continuum low-energy description and we numerically calculate the binding energies for pair and larger bound states for few-body doping near half filling. Furthermore, for finite doping, we present phase diagrams based on extensive functional renormalization group and and density matrix renormalization group calculations.
description: 6+6 pages
sj-pdf-1-hum-10.1177_00187267231169143 – Supplemental material for Mitigating anxiety: The role of strategic leadership groups during radical organisational change
Creators: name: Jarrett, Michael
name: Vince, Russ
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: Sociology
subject: FOS: Sociology

description: Supplemental material, sj-pdf-1-hum-10.1177_00187267231169143 for Mitigating anxiety: The role of strategic leadership groups during radical organisational change by Michael Jarrett and Russ Vince in Human Relations
Radiant toric varieties and unipotent group actions
Creators: name: Arzhantsev, Ivan
name: Perepechko, Alexander
name: Shakhmatov, Kirill
Publisher: name: arXiv
Year: 2022
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: Primary 14J50, 14M25, Secondary 14M17, 20G07, 32M12

description: We consider complete toric varieties $X$ such that a maximal unipotent subgroup $U$ of the automorphism group $\text{Aut}(X)$ acts on $X$ with an open orbit. It turns out that such varieties can be characterized by several remarkable properties. We study the set of Demazure roots of the corresponding complete fan, describe the structure of a maximal unipotent subgroup $U$ in $\text{Aut}(X)$, and find all regular subgroups in $U$ that act on $X$ with an open orbit.
description: 27 pages
sj-docx-1-smo-10.1177_20503121231172001 – Supplemental material for A systematic review and meta-analysis protocol on hypertension prevalence and associated factors among bank workers in Africa
Creators: name: Moloro, Abdulkerim Hassen
name: Seid, Abubeker Alebachow
name: Jaleta, Fikiru Yigezu
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Cardiology
subject: 110599 Dentistry not elsewhere classified
subject: FOS: Clinical medicine
subject: 110305 Emergency Medicine
subject: 110306 Endocrinology
subject: 110308 Geriatrics and Gerontology
subject: 110904 Neurology and Neuromuscular Diseases
subject: 111099 Nursing not elsewhere classified
subject: 111199 Nutrition and Dietetics not elsewhere classified
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 110314 Orthopaedics
subject: 110604 Sports Medicine
subject: 110315 Otorhinolaryngology
subject: 111702 Aged Health Care
subject: 111403 Paediatrics
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 110203 Respiratory Diseases
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology
subject: 110323 Surgery
subject: 70706 Veterinary Medicine
subject: FOS: Veterinary sciences

description: Supplemental material, sj-docx-1-smo-10.1177_20503121231172001 for A systematic review and meta-analysis protocol on hypertension prevalence and associated factors among bank workers in Africa by Abdulkerim Hassen Moloro, Abubeker Alebachow Seid and Fikiru Yigezu Jaleta in SAGE Open Medicine
Optimizing Readability Using Genetic Algorithms
Creators: name: Martinez-Gil, Jorge
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: This research presents ORUGA, a method that tries to automatically optimize the readability of any text in English. The core idea behind the method is that certain factors affect the readability of a text, some of which are quantifiable (number of words, syllables, presence or absence of adverbs, and so on). The nature of these factors allows us to implement a genetic learning strategy to replace some existing words with their most suitable synonyms to facilitate optimization. In addition, this research seeks to preserve both the original text's content and form through multi-objective optimization techniques. In this way, neither the text's syntactic structure nor the semantic content of the original message is significantly distorted. An exhaustive study on a substantial number and diversity of texts confirms that our method was able to optimize the degree of readability in all cases without significantly altering their form or meaning. The source code of this approach is available at https://github.com/jorge-martinez-gil/oruga.
description: 32 pages
Determination of the $W$-boson mass at hadron colliders
Creators: name: Rottoli, Luca
name: Torrielli, Paolo
name: Vicini, Alessandro
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We introduce an observable relevant for the determination of the $W$-boson mass $m_W$ at hadron colliders. This observable is defined as an asymmetry around the jacobian peak of the charged-lepton transverse-momentum distribution in the charged-current Drell-Yan process. We discuss the observable's theoretical prediction, presenting results at different orders in QCD, and showing its perturbative stability. Its definition as a single scalar number and its linear sensitivity to $m_W$ allow a clean extraction of the latter and a straightforward discussion of the associated theoretical systematics: a perturbative QCD uncertainty of ${\cal O}(\pm 5)$ MeV on $m_W$ can be established by means of this observable, relying solely on charged-current Drell-Yan information. Owing to its relatively inclusive nature, the observable displays desirable properties also from the experimental viewpoint, especially for the unfolding of detector effects. We show that a measurement of this observable can lead to a competitive experimental error on $m_W$ at the LHC.
description: 6 pages, 5 figures. Final version published in EPJC
sj-docx-2-smo-10.1177_20503121231171995 – Supplemental material for A study protocol for a single-centred randomized trial to investigate the effect of pre-treatment communication methods on dental anxiety among adult dental patients
Creators: name: Gbadebo, Shakeerah Olaide
name: Oke, Gbemisola Aderemi
name: Dosumu, Oluwole Oyekunle
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Cardiology
subject: 110599 Dentistry not elsewhere classified
subject: FOS: Clinical medicine
subject: 110305 Emergency Medicine
subject: 110306 Endocrinology
subject: 110308 Geriatrics and Gerontology
subject: 110904 Neurology and Neuromuscular Diseases
subject: 111099 Nursing not elsewhere classified
subject: 111199 Nutrition and Dietetics not elsewhere classified
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 110314 Orthopaedics
subject: 110604 Sports Medicine
subject: 110315 Otorhinolaryngology
subject: 111702 Aged Health Care
subject: 111403 Paediatrics
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 110203 Respiratory Diseases
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology
subject: 110323 Surgery
subject: 70706 Veterinary Medicine
subject: FOS: Veterinary sciences

description: Supplemental material, sj-docx-2-smo-10.1177_20503121231171995 for A study protocol for a single-centred randomized trial to investigate the effect of pre-treatment communication methods on dental anxiety among adult dental patients by Shakeerah Olaide Gbadebo, Gbemisola Aderemi Oke and Oluwole Oyekunle Dosumu in SAGE Open Medicine
Additional file 1 of Effect of JAK inhibitors on the three forms of bone damage in autoimmune arthritis: joint erosion, periarticular osteopenia, and systemic bone loss
Creators: name: Komagamine, Masatsugu
name: Komatsu, Noriko
name: Ling, Rui
name: Okamoto, Kazuo
name: Tianshu, Shi
name: Matsuda, Kotaro
name: Takeuchi, Tsutomu
name: Kaneko, Yuko
name: Takayanagi, Hiroshi
Publisher: name: figshare
Year: 2023
Subjects: subject: Biochemistry
subject: Space Science
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Hematology

description: Additional file 1: Supplementary Figure S1. The effect of the JAK inhibitor on bone erosion in the knee joint. Supplementary Figure S2. The effect of the JAK inhibitor on periarticular osteopenia and systemic bone loss. Supplementary Figure S3. Bone areas of the calcaneus proximal and distal to the inflammatory synovium assessed for the effect of the JAK inhibitor on bone formation. Supplementary Figure S4. RANKL expression by osteoblastic cells in the presence of various JAK inhibitors in the co-culture system.
MSSPN: Automatic First Arrival Picking using Multi-Stage Segmentation Picking Network
Creators: name: Wang, Hongtao
name: Zhang, Jiangshe
name: Wei, Xiaoli
name: Zhang, Chunxia
name: Guo, Zhenbo
name: Long, Li
name: Wang, Yicheng
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Picking the first arrival times of prestack gathers is called First Arrival Time (FAT) picking, which is an indispensable step in seismic data processing, and is mainly solved manually in the past. With the current increasing density of seismic data collection, the efficiency of manual picking has been unable to meet the actual needs. Therefore, automatic picking methods have been greatly developed in recent decades, especially those based on deep learning. However, few of the current supervised deep learning-based method can avoid the dependence on labeled samples. Besides, since the gather data is a set of signals which are greatly different from the natural images, it is difficult for the current method to solve the FAT picking problem in case of a low Signal to Noise Ratio (SNR). In this paper, for hard rock seismic gather data, we propose a Multi-Stage Segmentation Pickup Network (MSSPN), which solves the generalization problem across worksites and the picking problem in the case of low SNR. In MSSPN, there are four sub-models to simulate the manually picking processing, which is assumed to four stages from coarse to fine. Experiments on seven field datasets with different qualities show that our MSSPN outperforms benchmarks by a large margin.Particularly, our method can achieve more than 90\% accurate picking across worksites in the case of medium and high SNRs, and even fine-tuned model can achieve 88\% accurate picking of the dataset with low SNR.
sj-pdf-1-ijo-10.1177_0306624X231165350 – Supplemental material for Art Therapy in Australian Prisons: A Research Agenda
Creators: name: Tucker, Sarah
name: Luetz, Johannes M.
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 160299 Criminology not elsewhere classified
subject: FOS: Law

description: Supplemental material, sj-pdf-1-ijo-10.1177_0306624X231165350 for Art Therapy in Australian Prisons: A Research Agenda by Sarah Tucker and Johannes M. Luetz in International Journal of Offender Therapy and Comparative Criminology
sj-docx-1-opp-10.1177_10781552231173863 - Supplemental material for A phase II trial of netupitant/palonosetron for prevention of chemotherapy-induced nausea/vomiting in patients receiving BEAM prior to hematopoietic cell transplantation
Creators: name: Bubalo, Joseph S
name: Radke, Jennifer L
name: Bensch, Kenneth G
name: Chen, Andy I
name: Misra, Shikha
name: Maziarz, Richard T
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: FOS: Clinical medicine
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified

description: Supplemental material, sj-docx-1-opp-10.1177_10781552231173863 for A phase II trial of netupitant/palonosetron for prevention of chemotherapy-induced nausea/vomiting in patients receiving BEAM prior to hematopoietic cell transplantation by Joseph S Bubalo, Jennifer L Radke, Kenneth G Bensch, Andy I Chen, Shikha Misra and Richard T Maziarz in Journal of Oncology Pharmacy Practice
$B_s \to μ^+ μ^-$ in a Two-Higgs-Doublet Model with flavour-changing up-type Yukawa couplings
Creators: name: Lang, Martin S.
name: Nierste, Ulrich
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We present a Two-Higgs-Doublet Model in which the structure of the quark Yukawa matrices is governed by three spurions breaking the flavour symmetries of the quark Yukawa sector. The model naturally suppresses flavour-changing neutral current (FCNC) amplitudes in the down-type sector, but permits sizable FCNC couplings in the up sector. We calculate the branching ratio of $B_s \to μ^+ μ^-$ to leading and next-to-leading order of QCD for the case with FCNC couplings of the heavy neutral Higgs bosons to up-type quarks and verify that all counterterms follow the pattern dictated by the spurion expansion of the Yukawa matrices. We find correlations between $B_s \to μ^+ μ^-$, $b\to sγ$, and the Higgs masses. The $B_s - \bar B_s$ mixing amplitude is naturally suppressed in the model but can probe a portion of the parameter space with very heavy Higgs bosons.
description: 35 pages, 11 figures
Renormalisable Non-local Quark-Gluon Interaction: Mass Gap, Chiral Symmetry Breaking & Scale Invariance
Creators: name: Chatterjee, Arpan
name: Frasca, Marco
name: Ghoshal, Anish
name: Groote, Stefan
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We derive a Nambu--Jona-Lasinio (NJL) model from a non-local gauge theory and show that it has confining properties at low energies. In particular, we present an extended approach to non-local QCD and a complete revision of the technique of Bender, Milton and Savage applied to non-local theories, providing a set of Dyson--Schwinger equations in differential form. In the local case, we obtain closed form solutions in the simplest case of the scalar field and extend it to the Yang--Mills field. In general, for non-local theories, we use a perturbative technique and a Fourier series and show how higher-order harmonics are heavily damped due to the presence of the non-local factor. The spectrum of the theory is analysed for the non-local Yang--Mills sector and found to be in agreement with the local results on the lattice in the limit of the non-locality mass parameter running to infinity. In the non-local case, we confine ourselves to a non-locality mass that is sufficiently large compared to the mass scale arising from the integration of the Dyson--Schwinger equations. Such a choice results in good agreement, in the proper limit, with the spectrum of the local theory. We derive the gap equation for the fermions in the theory that gives some indication of quark confinement in the non-local NJL case as well. Confinement seems to be a rather ubiquitous effect that removes some degrees of freedom in the original action, favouring the appearance of new observable states, as seen, e.g.,\ for quantum chromodynamics at lower energies.
description: 34 pages, 3 figures, comments are welcome
title: Introducing the Fourth Annual ‘Women in International Law’ Symposium
Creators: name: Chausse, Céline
name: Kulish, Polina
name: Choudaha, Rishiti
name: Katsoni, Sissy
Publisher: name: Fachinformationsdienst für internationale und interdisziplinäre Rechtsforschung
Year: 2025
Subjects: subject: 341

description: Völkerrechtsblog
Mirror symmetry for parabolic Higgs bundles via $p$-adic integration
Creators: name: Shen, Shiyu
Publisher: name: arXiv
Year: 2023
Subjects: subject: Algebraic Geometry (math.AG)
subject: Representation Theory (math.RT)
subject: FOS: Mathematics

description: Applying the technique of $p$-adic integration, we prove the topological mirror symmetry conjecture of Hausel-Thaddeus for the moduli spaces of (strongly) parabolic Higgs bundles for the structure groups $\text{SL}_n$ and $\text{PGL}_n$, building on previous work of Groechenig-Wyss-Ziegler on the non-parabolic case. We also prove the $E$-polynomial of the smooth moduli space of parabolic $\text{GL}_n$-Higgs bundles is independent of the degree of the underlying vector bundles.
description: 33 pages. Refereed version
An Adaptive Method for Camera Attribution under Complex Radial Distortion Corrections
Creators: name: Montibeller, Andrea
name: Pérez-González, Fernando
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Multimedia (cs.MM)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Radial correction distortion, applied by in-camera or out-camera software/firmware alters the supporting grid of the image so as to hamper PRNU-based camera attribution. Existing solutions to deal with this problem try to invert/estimate the correction using radial transformations parameterized with few variables in order to restrain the computational load; however, with ever more prevalent complex distortion corrections their performance is unsatisfactory. In this paper we propose an adaptive algorithm that by dividing the image into concentric annuli is able to deal with sophisticated corrections like those applied out-camera by third party software like Adobe Lightroom, Photoshop, Gimp and PT-Lens. We also introduce a statistic called cumulative peak of correlation energy (CPCE) that allows for an efficient early stopping strategy. Experiments on a large dataset of in-camera and out-camera radially corrected images show that our solution improves the state of the art in terms of both accuracy and computational cost.
description: This paper was submitted to IEEE Transactions on Information Forensics & Security the July 28, 2022
title: Offener Brief anlässlich der Kleinen Anfrage der CDU/CSU-Fraktion zur politischen Neutralität staatlich geförderter Organisationen
Creators: name: Wissenschaftler*innen, 2169
Publisher: name: Fachinformationsdienst für internationale und interdisziplinäre Rechtsforschung
Year: 2025
Subjects: subject: 342

description: Verfassungsblog: On Matters Constitutional
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
Creators: name: Flageat, Manon
name: Lim, Bryan
name: Cully, Antoine
Publisher: name: arXiv
Year: 2023
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: With the development of fast and massively parallel evaluations in many domains, Quality-Diversity (QD) algorithms, that already proved promising in a large range of applications, have seen their potential multiplied. However, we have yet to understand how to best use a large number of evaluations as using them for random variations alone is not always effective. High-dimensional search spaces are a typical situation where random variations struggle to effectively search. Another situation is uncertain settings where solutions can appear better than they truly are and naively evaluating more solutions might mislead QD algorithms. In this work, we propose MAP-Elites-Multi-ES (MEMES), a novel QD algorithm based on Evolution Strategies (ES) designed to exploit fast parallel evaluations more effectively. MEMES maintains multiple (up to 100) simultaneous ES processes, each with its own independent objective and reset mechanism designed for QD optimisation, all on just a single GPU. We show that MEMES outperforms both gradient-based and mutation-based QD algorithms on black-box optimisation and QD-Reinforcement-Learning tasks, demonstrating its benefit across domains. Additionally, our approach outperforms sampling-based QD methods in uncertain domains when given the same evaluation budget. Overall, MEMES generates reproducible solutions that are high-performing and diverse through large-scale ES optimisation on easily accessible hardware.
Additional file 1 of Prediction of plant secondary metabolic pathways using deep transfer learning
Creators: name: Bao, Han
name: Zhao, Jinhui
name: Zhao, Xinjie
name: Zhao, Chunxia
name: Lu, Xin
name: Xu, Guowang
Publisher: name: figshare
Year: 2023
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Computational Biology

description: Additional file1. Evaluation metrics, implementation details and supplementary figures.
Entangled atomic ensemble and an yttrium-iron-garnet sphere in coupled microwave cavities
Creators: name: Dilawaiz
name: Qamar, Shahid
name: Irfan, Muhammad
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a scheme to generate distant bipartite and tripartite entanglement between an atomic ensemble and an yttrium iron garnet (YIG) sphere in coupled microwave cavities. We consider an atomic ensemble in a single-mode microwave cavity which is coupled with a second single-mode cavity having a YIG sphere. Our system, therefore, has five excitation modes namely cavity-1 photons, atomic ensemble, cavity-2 photons, a magnon and a phonon mode in the YIG sphere. We show that significant bipartite entanglement exists between indirectly coupled subsystems in the cavities, which is robust against temperature. Moreover, we present suitable parameters for a significant tripartite entanglement of ensemble, magnon, and phonon modes. We also demonstrate the existence of tripartite entanglement between magnon and phonon modes of the YIG sphere with indirectly coupled cavity photons. Interestingly, this distant tripartite entanglement is of the same order as previously found for a single-cavity system. We show that cavity-cavity coupling strength affects both the degree and transfer of quantum entanglement between various subsystems. Therefore, an appropriate cavity-cavity coupling optimizes the distant entanglement by increasing the entanglement strength and its robustness against temperature.
description: 12 pages, 12 figures
Flexible Seamless 2-in-1 Design with Sample Size Adaptation
Creators: name: Li, Runjia
name: Wu, Liwen
name: Liu, Rachael
name: Lin, Jianchang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: 2-in-1 design (Chen et al. 2018) is becoming popular in oncology drug development, with the flexibility of using different endpoints at different decision time. Based on the observed interim data, sponsors choose either to seamlessly advance a small phase 2 trial to a full-scale confirmatory phase 3 trial with a pre-determined maximum sample size, or to remain in a phase 2 trial. This approach may increase efficiency in drug development but is rigid and requires a pre-specified fixed sample size. In this paper, we propose a flexible 2-in-1 design with sample size adaptation, while retains the advantage of allowing intermediate endpoint for interim decision. The proposed design reflects the needs of recent FDA's Project FrontRunner initiative to encourage using an earlier surrogate endpoint to potentially support accelerated approval with conversion to standard approval with long term endpoint from the same randomized study. Additionally, we identify the interim decision cut-off to allow conventional test procedure at the final analysis. Extensive simulation studies showed the proposed design require much smaller sample size and shorter timeline than the simple 2-in-1 design, while achieving similar power. A case study in multiple myeloma is used to demonstrate the benefits of the proposed design.