cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Learning Graph Neural Networks with Positive and Unlabeled Nodes
Creators: name: Wu, Man
name: Pan, Shirui
name: Du, Lan
name: Zhu, Xingquan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Graph neural networks (GNNs) are important tools for transductive learning tasks, such as node classification in graphs, due to their expressive power in capturing complex interdependency between nodes. To enable graph neural network learning, existing works typically assume that labeled nodes, from two or multiple classes, are provided, so that a discriminative classifier can be learned from the labeled data. In reality, this assumption might be too restrictive for applications, as users may only provide labels of interest in a single class for a small number of nodes. In addition, most GNN models only aggregate information from short distances (e.g., 1-hop neighbors) in each round, and fail to capture long distance relationship in graphs. In this paper, we propose a novel graph neural network framework, long-short distance aggregation networks (LSDAN), to overcome these limitations. By generating multiple graphs at different distance levels, based on the adjacency matrix, we develop a long-short distance attention model to model these graphs. The direct neighbors are captured via a short-distance attention mechanism, and neighbors with long distance are captured by a long distance attention mechanism. Two novel risk estimators are further employed to aggregate long-short-distance networks, for PU learning and the loss is back-propagated for model learning. Experimental results on real-world datasets demonstrate the effectiveness of our algorithm.
description: Accepted to ACM Transactions on Knowledge Discovery from Data (TKDD)
Additional file 1 of Anecdotes impact medical decisions even when presented with statistical information or decision aids
Creators: name: Line, Emily N.
name: Jaramillo, Sara
name: Goldwater, Micah
name: Horne, Zachary
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Neuroscience
subject: Pharmacology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: Mental Health

description: Additional file 1. Supplemental Materials.
Dynamically Emerging Topological Phase Transitions in Nonlinear Interacting Soliton Lattices
Creators: name: Bongiovanni, Domenico
name: Jukić, Dario
name: Hu, Zhichan
name: Lunić, Frane
name: Hu, Yi
name: Song, Daohong
name: Morandotti, Roberto
name: Chen, Zhigang
name: Buljan, Hrvoje
Publisher: name: arXiv
Year: 2021
Subjects: subject: Pattern Formation and Solitons (nlin.PS)
subject: Other Condensed Matter (cond-mat.other)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We demonstrate dynamical topological phase transitions in evolving Su-Schrieffer-Heeger (SSH) lattices made of interacting soliton arrays, which are entirely driven by nonlinearity and thereby exemplify emergent nonlinear topological phenomena. The phase transitions occur from topologically trivial-to-nontrivial phase in periodic succession with crossovers from topologically nontrivial-to-trivial regime. The signature of phase transition is gap-closing and re-opening point, where two extended states are pulled from the bands into the gap to become localized topological edge states. Crossovers occur via decoupling of the edge states from the bulk of the lattice.
description: are welcome!
Cerebral fat embolism (ECR 2016 Case of the Day)
Creators: name: Avsenik, Jernej
Publisher: name: EURORAD
Year: 2016
Subjects: subject: Neuroradiology brain
subject: MR
subject: MR-Diffusion/Perfusion
subject: Imaging sequences
subject: Trauma

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: female, 20 years
description: Clinical History: 20-year-old male patient presented with decreasing level of consciousness, mild hypoxaemia, tachycardia and seizures 18 hours after being involved in a motor vehicle accident resulting in displaced fractures of left humerus, left tibia, left fibula and ri... Final Diagnosis: Cerebral fat embolism
Superconducting Circuit Architecture for Digital-Analog Quantum Computing
Creators: name: Yu, J.
name: Retamal, J. C.
name: Sanz, M.
name: Solano, E.
name: Albarrán-Arriagada, F.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We propose a superconducting circuit architecture suitable for digital-analog quantum computing (DAQC) based on an enhanced NISQ family of nearest-neighbor interactions. DAQC makes a smart use of digital steps (single qubit rotations) and analog blocks (parametrized multiqubit operations) to outperform digital quantum computing algorithms. Our design comprises a chain of superconducting charge qubits coupled by superconducting quantum interference devices (SQUIDs). Using magnetic flux control, we can activate/deactivate exchange interactions, double excitation/de-excitations, and others. As a paradigmatic example, we present an efficient simulation of an $\ell\times h$ fermion lattice (with $2
description: 8+15 pages, 16 figures
Absentéisme volontaire dans l'administration publique : gestion par le management des ressources humaines basé sur « l'approche processus ».
Creators: name: BATHILY, Drissa
Publisher: name: Zenodo
Year: 2024
Subjects: Absentéisme volontaire ; Absentéisme involontaire ; Administration publique ; Management des ressources humaines ; Approche processus

description: L’absentéisme est un phénomène préoccupant, aussi bien pour les organisations du secteur privé que les services publics de l’Etat. Il est préoccupant pour plusieurs raisons notamment le coût et le dysfonctionnement qu’il entraine. En vue de proposer des mécanismes de gestion durable, des praticiens (chefs d’entreprises, autorités publiques) et des universitaires tentent, depuis des décennies, de comprendre les facteurs déterminants et les conséquences sur le fonctionnement normal des organisations. Dans cette recherche, nous tentons : d’identifier les types d’absences répétées dans les services publics de l’Etat, mesurer le poids de chaque type d’absence, et de mesurer l’influence d’un dispositif de gestion durable sur l’absentéisme. Ce dispositif concerne le management des ressources humaines par l’approche processus emprunté de la marche qualité. En utilisant la régression logistique multinomiale, nous trouvons que les formes d’absences appréhendées dans les services publics sont modifiables positivement par l’intégration de certaines variables du management des ressources humaines basé sur l’approche processus.
GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm
Creators: name: Willsch, Dennis
name: Willsch, Madita
name: Jin, Fengping
name: Michielsen, Kristel
name: De Raedt, Hans
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: We study large-scale applications using a GPU-accelerated version of the massively parallel Jülich universal quantum computer simulator (JUQCS--G). First, we benchmark JUWELS Booster, a GPU cluster with 3744 NVIDIA A100 Tensor Core GPUs. Then, we use JUQCS--G to study the relation between quantum annealing (QA) and the quantum approximate optimization algorithm (QAOA). We find that a very coarsely discretized version of QA, termed approximate quantum annealing (AQA), performs surprisingly well in comparison to the QAOA. It can either be used to initialize the QAOA, or to avoid the costly optimization procedure altogether. Furthermore, we study the scaling of the success probability when using AQA for problems with 30 to 40 qubits. We find that the case with the largest discretization error scales most favorably, surpassing the best result obtained from the QAOA.
description: Updated to match published version in Computer Physics Communications
A Combinatorial Description of Certain Polynomials Related to the XYZ Spin Chain. II. The Polynomials $p_n$
Creators: name: Hietala, Linnea
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Physics (math-ph)
subject: Combinatorics (math.CO)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 82B23, 05A15, 33E17

description: By specializing the parameters in the partition function of the 8VSOS model with domain wall boundary conditions and diagonal reflecting end, we find connections between the three-color model and certain polynomials $p_n(z)$, which are conjectured to be equal to certain polynomials of Bazhanov and Mangazeev, appearing in the eigenvectors of the Hamiltonian of the supersymmetric XYZ spin chain. This article is a continuation of a previous paper where we investigated the related polynomials $q_n(z)$, also conjectured to be equal to polynomials of Bazhanov and Mangazeev, appearing in the eigenvectors of the supersymmetric XYZ spin chain.
description: arXiv admin note: text overlap with arXiv:2004.09924
Synthesis of Frame Field-Aligned Multi-Laminar Structures
Creators: name: Stutz, Florian Cyril
name: Olsen, Tim Felle
name: Groen, Jeroen Peter
name: Aage, Niels
name: Sigmund, Ole
name: Solomon, Justin
name: Bærentzen, Jakob Andreas
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computational Geometry (cs.CG)
subject: FOS: Computer and information sciences
subject: I.3.5

description: In the field of topology optimization, the homogenization approach has been revived as an important alternative to the established, density-based methods because it can represent the microstructural design at a much finer length-scale than the computational grid. The optimal microstructure for a single load case is an orthogonal rank-3 laminate. A rank-3 laminate can be described in terms of frame fields, which are also an important tool for mesh generation in both 2D and 3D. We propose a method for generating multi-laminar structures from frame fields. Rather than relying on integrative approaches that find a parametrization based on the frame field, we find stream surfaces, represented as point clouds aligned with frame vectors, and we solve an optimization problem to find well-spaced collections of such stream surfaces. The stream surface tracing is unaffected by the presence of singularities outside the region of interest. Neither stream surface tracing nor selecting well-spaced surface rely on combed frame fields. In addition to stream surface tracing and selection, we provide two methods for generating structures from stream surface collections. One of these methods produces volumetric solids by summing basis functions associated with each point of the stream surface collection. The other method reinterprets point sampled stream surfaces as a spatial twist continuum and produces a hexahedralization by dualizing a graph representing the structure. We demonstrate our methods on several frame fields produced using the homogenization approach for topology optimization, boundary-aligned, algebraic frame fields, and frame fields computed from closed-form expressions.
description: 19 pages, 18 figures
Supplementary document for Generic saturation‐induced phase error correction for structured light 3D shape measurement - 5888482.pdf
Creators: name: Tan, Ji
name: su, wenqing
name: he, zhaoshui
name: Bai, yulei
name: Dong, Bo
name: Xie, Shengli
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplemental Document
zkHawk: Practical Private Smart Contracts from MPC-based Hawk
Creators: name: Banerjee, Aritra
name: Clear, Michael
name: Tewari, Hitesh
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Cryptocurrencies have received a lot of research attention in recent years following the release of the first cryptocurrency Bitcoin. With the rise in cryptocurrency transactions, the need for smart contracts has also increased. Smart contracts, in a nutshell, are digitally executed contracts wherein some parties execute a common goal. The main problem with most of the current smart contracts is that there is no privacy for a party's input to the contract from either the blockchain or the other parties. Our research builds on the Hawk project that provides transaction privacy along with support for smart contracts. However, Hawk relies on a special trusted party known as a manager, which must be trusted not to leak each party's input to the smart contract. In this paper, we present a practical private smart contract protocol that replaces the manager with an MPC protocol such that the function to be executed by the MPC protocol is relatively lightweight, involving little overhead added to the smart contract function, and uses practical sigma protocols and homomorphic commitments to prove to the blockchain that the sum of the incoming balances to the smart contract matches the sum of the outgoing balances.
description: 9 pages, 6 figures, published in IEEE BRAINS'21 Conference Proceedings
Education: Then vs Now
Creators: name: R Ram Narayanan
name: P Sree
name: Saba Maanvizhi
Publisher: name: Zenodo
Year: 2024
Subjects: Learning, Assessment, Digital learning, Educational tools, Technology era.

description: Abstract: Education is one of the major components in human’s life. Education helps in learning all the fundamentals which are very essential for the humans to survive and progress in his life. A man without education is like a tree which bears no fruits. So, education is vital in order to fulfil the purpose of every human being in this world. Education brings out the person’s interest in any particular field in which he can put his maximum efforts and excel with beautiful colours. Education enlightens the power of knowledge and wisdom. In order to get in-depth knowledge in a particular concept there are introduction of various tools which helps you to uncover all your doubts. Though these digital tools are occupying a major part in the field of education but they should be used wisely in order to get the maximum benefits out of it.
Ehrenfest's scheme and microstructure for regular-AdS black hole in the extended phase space
Creators: name: Guo, Sen
name: Liang, En-Wei
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The regular (Bardeen)-AdS (BAdS) black hole (BH) in the extended phase space is taken as an example for investigating the BH phase transition grade from both macroscopic and microscopic points of view. The equation of state and thermodynamic quantities of this BH are obtained. It is found that the BAdS BH phase space in the extended phase space should be a second-order phase transition near the critical point by verifying the Ehrenfest's equation, and the possibility of its first-order phase transition can be ruled out by the entropy continuity and the heat capacity mutation. The critical exponents from the microscopic structure are analytically and numerically presented with the Landau continuous phase transition theory by introducing a microscopic order-parameter.
description: 14 pages, 5 figures
Interstellar Gas Heating by Primordial Black Holes
Creators: name: Takhistov, Volodymyr
name: Lu, Philip
name: Gelmini, Graciela B.
name: Hayashi, Kohei
name: Inoue, Yoshiyuki
name: Kusenko, Alexander
Publisher: name: arXiv
Year: 2021
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Interstellar gas heating is a powerful cosmology-independent observable for exploring the parameter space of primordial black holes (PBHs) formed in the early Universe that could constitute part of the dark matter (DM). We provide a detailed analysis of the various aspects for this observable, such as PBH emission mechanisms. Using observational data from the Leo T dwarf galaxy, we constrain the PBH abundance over a broad mass-range, $M_{\rm PBH} \sim \mathcal{O}(1) M_{\odot}-10^7 M_{\odot}$, relevant for the recently detected gravitational wave signals from intermediate-mass BHs. We also consider PBH gas heating of systems with bulk relative velocity with respect to the DM, such as Galactic clouds.
description: 30 pages, 5 figures; matches published version
Two-dimensional multi-target detection: an autocorrelation analysis approach
Creators: name: Kreymer, Shay
name: Bendory, Tamir
Publisher: name: arXiv
Year: 2021
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We consider the two-dimensional multi-target detection problem of recovering a target image from a noisy measurement that contains multiple copies of the image, each randomly rotated and translated. Motivated by the structure reconstruction problem in single-particle cryo-electron microscopy, we focus on the high noise regime, where the noise hampers accurate detection of the image occurrences. We develop an autocorrelation analysis framework to estimate the image directly from a measurement with an arbitrary spacing distribution of image occurrences, bypassing the estimation of individual locations and rotations. We conduct extensive numerical experiments, and demonstrate image recovery in highly noisy environments. The code to reproduce all numerical experiments is publicly available at https://github.com/krshay/MTD-2D.
X-ray study of krypton and xenon under pressure reveals the mechanism of martensitic transformations
Creators: name: Rosa, Angelika D.
name: Dewaele, Agnes
name: Garbarino, Gaston
name: Svitlyk, Volodymyr
name: Morard, Guillaume
name: De Angelis, Francesco
name: Krstulovic, Marija
name: Briggs, Richard
name: Irifune, Tetsuo
name: Mathon, Olivier
name: Bouhifd, Mohamed A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: The martensitic transformation is a fundamental physical phenomenon at the origin of important industrial applications. However, the underlying microscopic mechanism, which is of critical importance to explain the outstanding mechanical properties of martensitic materials, is still not fully understood. This is because for most martensitic materials the transformation is a fast process that makes in situ studies extremely challenging. Noble solids krypton and xenon undergo a progressive pressure induced fcc to hcp martensitic transition with a very wide coexistence domain. Here, we took advantage of this unique feature to study the detailed mechanism of the transformation by employing in situ X-ray diffraction and absorption. We evidenced a four stages mechanism where the lattice mismatch between the fcc and hcp forms plays a key role in the generation of strain. We also determined precisely the effect of the transformation on the compression behavior of these materials.
description: Main file: 31 pages, 9 figure
Glass--like transition described by toppling of stability hierarchy
Creators: name: Grela, Jacek
name: Khoruzhenko, Boris A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Physics (math-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: Building on the work of Fyodorov (2004) and Fyodorov and Nadal (2012) we examine the critical behaviour of population of saddles with fixed instability index $k$ in high dimensional random energy landscapes. Such landscapes consist of a parabolic confining potential and a random part in $N\gg 1$ dimensions. When the relative strength $m$ of the parabolic part is decreasing below a critical value $m_c$, the random energy landscapes exhibit a glass-like transition from a simple phase with very few critical points to a complex phase with the energy surface having exponentially many critical points. We obtain the annealed probability distribution of the instability index $k$ by working out the mean size of the population of saddles with index $k$ relative to the mean size of the entire population of critical points and observe toppling of stability hierarchy which accompanies the underlying glass-like transition. In the transition region $m=m_c + δN^{-1/2}$ the typical instability index scales as $k = κN^{1/4}$ and the toppling mechanism affects whole instability index distribution, in particular the most probable value of $κ$ changes from $κ= 0$ in the simple phase ($δ> 0 $) to a non-zero value $ κ_{\max} \propto (-δ)^{3/2}$ in the complex phase ($δ< 0$). We also show that a similar phenomenon is observed in random landscapes with an additional fixed energy constraint and in the $p$-spin spherical model.
description: 35 pages, 3 figures, 2 tables (published version)
Single-component gradient rules for variational quantum algorithms
Creators: name: Hubregtsen, Thomas
name: Wilde, Frederik
name: Qasim, Shozab
name: Eisert, Jens
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Many near-term quantum computing algorithms are conceived as variational quantum algorithms, in which parameterized quantum circuits are optimized in a hybrid quantum-classical setup. Examples are variational quantum eigensolvers, quantum approximate optimization algorithms as well as various algorithms in the context of quantum-assisted machine learning. A common bottleneck of any such algorithm is constituted by the optimization of the variational parameters. A popular set of optimization methods work on the estimate of the gradient, obtained by means of circuit evaluations. We will refer to the way in which one can combine these circuit evaluations as gradient rules. This work provides a comprehensive picture of the family of gradient rules that vary parameters of quantum gates individually. The most prominent known members of this family are the parameter shift rule and the finite differences method. To unite this family, we propose a generalized parameter shift rule that expresses all members of the aforementioned family as special cases, and discuss how all of these can be seen as providing access to a linear combination of exact first- and second-order derivatives. We further prove that a parameter shift rule with one non-shifted evaluation and only one shifted circuit evaluation can not exist does not exist, and introduce a novel perspective for approaching new gradient rules.
description: 9 pages, 0 figures
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction
Creators: name: Fang, Xiaomin
name: Liu, Lihang
name: Lei, Jieqiong
name: He, Donglong
name: Zhang, Shanzhuo
name: Zhou, Jingbo
name: Wang, Fan
name: Wu, Hua
name: Wang, Haifeng
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Chemical Physics (physics.chem-ph)
subject: Molecular Networks (q-bio.MN)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: Effective molecular representation learning is of great importance to facilitate molecular property prediction, which is a fundamental task for the drug and material industry. Recent advances in graph neural networks (GNNs) have shown great promise in applying GNNs for molecular representation learning. Moreover, a few recent studies have also demonstrated successful applications of self-supervised learning methods to pre-train the GNNs to overcome the problem of insufficient labeled molecules. However, existing GNNs and pre-training strategies usually treat molecules as topological graph data without fully utilizing the molecular geometry information. Whereas, the three-dimensional (3D) spatial structure of a molecule, a.k.a molecular geometry, is one of the most critical factors for determining molecular physical, chemical, and biological properties. To this end, we propose a novel Geometry Enhanced Molecular representation learning method (GEM) for Chemical Representation Learning (ChemRL). At first, we design a geometry-based GNN architecture that simultaneously models atoms, bonds, and bond angles in a molecule. To be specific, we devised double graphs for a molecule: The first one encodes the atom-bond relations; The second one encodes bond-angle relations. Moreover, on top of the devised GNN architecture, we propose several novel geometry-level self-supervised learning strategies to learn spatial knowledge by utilizing the local and global molecular 3D structures. We compare ChemRL-GEM with various state-of-the-art (SOTA) baselines on different molecular benchmarks and exhibit that ChemRL-GEM can significantly outperform all baselines in both regression and classification tasks. For example, the experimental results show an overall improvement of 8.8% on average compared to SOTA baselines on the regression tasks, demonstrating the superiority of the proposed method.
description: Nature Machine Intelligence, 2022
DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text
Creators: name: Chakravarthi, Bharathi Raja
name: Priyadharshini, Ruba
name: Muralidaran, Vigneshwaran
name: Jose, Navya
name: Suryawanshi, Shardul
name: Sherly, Elizabeth
name: McCrae, John P.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: This paper describes the development of a multilingual, manually annotated dataset for three under-resourced Dravidian languages generated from social media comments. The dataset was annotated for sentiment analysis and offensive language identification for a total of more than 60,000 YouTube comments. The dataset consists of around 44,000 comments in Tamil-English, around 7,000 comments in Kannada-English, and around 20,000 comments in Malayalam-English. The data was manually annotated by volunteer annotators and has a high inter-annotator agreement in Krippendorff's alpha. The dataset contains all types of code-mixing phenomena since it comprises user-generated content from a multilingual country. We also present baseline experiments to establish benchmarks on the dataset using machine learning methods. The dataset is available on Github (https://github.com/bharathichezhiyan/DravidianCodeMix-Dataset) and Zenodo (https://zenodo.org/record/4750858\#.YJtw0SYo\_0M).
description: 36 pages
Review Buku ARGONAUTS OF THE WESTERN PACIFIC
Creators: name: Nigel Gilbert Tondang
Publisher: name: Zenodo
Year: 2025

description: Buku ini merupakan catatan etnografi hasil kerja lapangan Malinowski di Kepulauan Trobriand, khususnya di kalangan masyarakat yang menjalankan sistem pertukaran ritual yang dikenal sebagai Kula Ring. Sistem ini melibatkan pertukaran barang-barang bernilai simbolis (seperti kalung dan gelang) dalam jaringan sosial yang luas dan kompleks antar pulau.
Why the warnings of B. Russell (1922), R. Carnap (1955), J. Franklin (2001) and H.  Kyburg (2003) about Ramsey's "interpretation" of logical probability failed: None of the warnings identified Ramsey explicitly by name
Creators: name: Michael Emmett Brady
Publisher: name: Zenodo
Year: 2024
Subjects: Boolean logic, algebra and probability, Keynes's Boolean relational, propositional logic, the logical, objective probability relation, imprecise probability, non-additive probability, interval valued probability, upper-lower bounds

description: Abstract: Ramsey’s fictional, fictitious definitions concerning Keynes’s logical theory of probability do not exist in the A Treatise on Probability. Ramsey simply made them up and invented them out of thin air. No philosopher, historian, economist, social scientist or academician in either the 20th or 21st centuries has been able to come to this conclusion. Ramsey’s entire position is that Keynes’s relational, propositional logic, as presented in his A Treatise on Probability, involves the logical analysis of unrelated, irrelevant propositions. This is simply pure nonsense ,since the very title of Keynes’s approach, as defined by Boole in chapter I of his The Laws of Thought in 1854,requires the propositions to be related .Ramsey’s “My  carpet is blue; Napoleon was a great general “is made up of two unrelated propositions and is, hence, eliminated from consideration.

However, four philosophers did publish warnings that demonstrated that the basic foundation of Ramsey’s critique of logical probability was based on absurdities like the carpet, Napoleon example above. Unfortunately, they never explicitly identified Ramsey as the target of their warning. Therefore, readers of the works containing their warnings had no idea about who was being identified.

The result is that Ramsey’s nutty types of examples that supposedly demonstrate the severe problems with logical probability, such as “My carpet is blue, Napoleon was a great general” or “This is round, that is red”, became unanimously accepted examples of what was wrong with logical probability. The best, most recent, examples of this are in Clarke (2023) and Gerrard (2023).

I believe that it is highly probable that the Ramsey Myth ,as constructed by R B Braithwaite and published by the intellectually deficient economist ,Donald Moggridge, as an editorial foreword placed at the very front of the 1973 CWJMK edition of Keynes’s A Treatise on Probability, could have been stopped dead in its tracks if Ramsey had been clearly identified as the writer making up absurdities like “My carpet is blue, Napoleon was a great general.” as being representative of logical probability constructs.
Permanent variational wave functions for bosons
Creators: name: Zhang, J. M.
name: Song, H. F.
name: Liu, Y.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We study the performance of permanent states (the bosonic counterpart of the Slater determinant state) as approximating functions for bosons, with the intention to develop variational methods based upon them. For a system of $N$ identical bosons, a permanent state is constructed by taking a set of $N$ arbitrary (not necessarily orthonormal) single-particle orbitals, forming their product and then symmetrizing it. It is found that for the one-dimensional Bose-Hubbard model with the periodic boundary condition and at unit filling, the exact ground state can be very well approximated by a permanent state, in that the permanent state has high overlap (at least 0.96 even for 12 particles and 12 sites) with the exact ground state and can reproduce both the ground state energy and the single-particle correlators to high precision. For a generic model, we have devised a greedy algorithm to find the optimal set of single-particle orbitals to minimize the variational energy or maximize the overlap with a target state. It turns out that quite often the ground state of a bosonic system can be well approximated by a permanent state by all the criterions of energy, overlap, and correlation functions. And even if the error is apparent, it can often be remedied by including more configurations, i.e., by allowing the variational wave function to be a combination of multiple permanent states. The algorithm is used to study the stability of a two-particle system, with great success. All these suggest that permanent states are very effective as variational wave functions for bosonic systems, and hence deserve further studies.
description: 28 pages, 25 figures. Comments are welcome
Osteolytic lesion in tibial diaphysis in a child (ECR 2016 Case of the Day)
Creators: name: Magnano, Gian Michele
Publisher: name: EURORAD
Year: 2016
Subjects: subject: Bones
subject: Conventional radiography
subject: Experimental
subject: MR
subject: Percutaneous
subject: Biopsy
subject: Education
subject: Infection
subject: Inflammation

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: male, 5 years
description: Clinical History: A 5-year-old boy came to the emergency department for knee pain and functional impairment of the lower limb of recent onset. At first, because of frequent reflected symptoms originating from the hip, both an ultrasonography and radiography of the right hi... Final Diagnosis: Eosinophilic granuloma (EG).
Trust, Shared Understanding and Locus of Control in Mixed-Initiative Robotic Systems
Creators: name: Chiou, Manolis
name: McCabe, Faye
name: Grigoriou, Markella
name: Stolkin, Rustam
Publisher: name: arXiv
Year: 2021
Subjects: subject: Robotics (cs.RO)
subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: This paper investigates how trust, shared understanding between a human operator and a robot, and the Locus of Control (LoC) personality trait, evolve and affect Human-Robot Interaction (HRI) in mixed-initiative robotic systems. As such systems become more advanced and able to instigate actions alongside human operators, there is a shift from robots being perceived as a tool to being a team-mate. Hence, the team-oriented human factors investigated in this paper (i.e. trust, shared understanding, and LoC) can play a crucial role in efficient HRI. Here, we present the results from an experiment inspired by a disaster response scenario in which operators remotely controlled a mobile robot in navigation tasks, with either human-initiative or mixed-initiative control, switching dynamically between two different levels of autonomy: teleoperation and autonomous navigation. Evidence suggests that operators trusted and developed an understanding of the robotic systems, especially in mixed-initiative control, where trust and understanding increased over time, as operators became more familiar with the system and more capable of performing the task. Lastly, evidence and insights are presented on how LoC affects HRI.
description: Pre-print of the accepted paper in IEEE RO-MAN 2021 (typo in Table 1 fixed!)
FIZIKA FANINI KOMPYUTER TEXNOLOGIYALARI ASOSIDA O'QITISHNING AHAMIYATI
Creators: name: Xasanova, Xurshida
name: Axmedova, Nigora
Publisher: name: Zenodo
Year: 2025

description: Fizika hamda informatika o’qituvchisidan fundamental bilim va uni o’qitishning zamonaviy uslubiyotidan yetarli bilimga ega bo’lish talab etiladi. Shuning uchun fizikani o’qitish uslubiyotida zamonaviy talablarni e’tiborga olib didaktikaning an’anaviy tomonlarini saqlab qolgan holda zamonaviy didaktika asosi yangi pedagogik va kompyuter texnologiyalariga asoslangan ta’lim texnologiyalarini yaratish davr taqozosidir. Mavjud adabiyotlar tahlili shuni ko’rsatoqdaki, axborot texnologiyalarining multimedia vositalari asosida o’quv-materiallarini obrazli ko’rinishda ifodalashdek muhim imkoniyat mavjud. Ma’lumotlarni matn sifatida emas, balki obrazlar vositasida taqdim etish axborot texnologiyalarining ta’lim tizimida o’ziga xos inqilobiy jarayon ekanligidan dalolat beradi.
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques
Creators: name: Wang, Zhiyuan
name: Xiong, Haoyi
name: Zhang, Jie
name: Yang, Sijia
name: Boukhechba, Mehdi
name: Barnes, Laura E.
name: Zhang, Daqing
name: Dou, Dejing
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Computers and Society (cs.CY)
subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals and provide timely intervention to promote health and well-beings, such as mental health and chronic cares. As the objectives of mobile sensing could be either \emph{(a) personalized medicine for individuals} or \emph{(b) public health for populations}, in this work we review the design of these mobile sensing apps, and propose to categorize the design of these apps/systems in two paradigms -- \emph{(i) Personal Sensing} and \emph{(ii) Crowd Sensing} paradigms. While both sensing paradigms might incorporate with common ubiquitous sensing technologies, such as wearable sensors, mobility monitoring, mobile data offloading, and/or cloud-based data analytics to collect and process sensing data from individuals, we present a novel taxonomy system with two major components that can specify and classify apps/systems from aspects of the life-cycle of mHealth Sensing: \emph{(1) Sensing Task Creation \& Participation}, \emph{(2) Health Surveillance \& Data Collection}, and \emph{(3) Data Analysis \& Knowledge Discovery}. With respect to different goals of the two paradigms, this work systematically reviews this field, and summarizes the design of typical apps/systems in the view of the configurations and interactions between these two components. In addition to summarization, the proposed taxonomy system also helps figure out the potential directions of mobile sensing for health from both personalized medicines and population health perspectives.
description: This manuscript has been accepted by IEEE Internet of Things Journal
Efficient and Accurate Adaptive Resolution for Weakly-Compressible SPH
Creators: name: Muta, Abhinav
name: Ramachandran, Prabhu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: In this paper we propose an accurate, and computationally efficient method for incorporating adaptive spatial resolution into weakly-compressible Smoothed Particle Hydrodynamics (SPH) schemes. Particles are adaptively split and merged in an accurate manner. Critically, the method ensures that the number of neighbors of each particle is optimal, leading to an efficient algorithm. A set of background particles is used to specify either geometry-based spatial resolution, where the resolution is a function of distance to a solid body, or solution-based adaptive resolution, where the resolution is a function of the computed solution. This allows us to simulate problems using particles having length variations of the order of 1:250 with much fewer particles than currently reported with other techniques. The method is designed to automatically adapt when any solid bodies move. The algorithms employed are fully parallel. We consider a suite of benchmark problems to demonstrate the accuracy of the approach. We then consider the classic problem of the flow past a circular cylinder at a range of Reynolds numbers and show that the proposed method produces accurate results with a significantly reduced number of particles. We provide an open source implementation and a fully reproducible manuscript.
description: 51 pages, 40 figures, 4 tables
MPEC 2024-V99 : 2024 VU1
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2024 VU1

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Quantum Error Mitigation Relying on Permutation Filtering
Creators: name: Xiong, Yifeng
name: Ng, Soon Xin
name: Hanzo, Lajos
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Information Theory (cs.IT)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Quantum error mitigation (QEM) is a class of promising techniques capable of reducing the computational error of variational quantum algorithms tailored for current noisy intermediate-scale quantum computers. The recently proposed permutation-based methods are practically attractive, since they do not rely on any a priori information concerning the quantum channels. In this treatise, we propose a general framework termed as permutation filters, which includes the existing permutation-based methods as special cases. In particular, we show that the proposed filter design algorithm always converge to the global optimum, and that the optimal filters can provide substantial improvements over the existing permutation-based methods in the presence of narrowband quantum noise, corresponding to large-depth, high-error-rate quantum circuits.
Reading Between the Fibers: AI Reveals Hidden Patterns in MASLD
Creators: name: Wojciechowska, Marta
name: Thing, Mira
name: Hu, Yang
name: Mazzoni, Gianluca
name: Harder, Lea
name: Werge, Mikkel
name: Das, Vivek
name: Moreno Martinez, Jaime
name: Prada-Medina, Cesar Augusto
name: Vyberg, Mogens
name: Goldin, Robert
name: Serizawa, Reza Rafiolsadat
name: Galsgaard, Elisabeth Douglas
name: Woodcock, Dan
name: Hvid, Henning
name: Pfister, Dominik
name: Jurtz, Vanessa Isabell
name: Gluud, Lise L
name: Rittscher, Jens
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Liver Diseases
subject: Pathology
subject: Artificial Intelligence

description: Presented at EASL'25 Congress in Amsterdam by Marta Wojciechowska and Mira Thing.
Scalable estimation of pure multi-qubit states
Creators: name: Pereira, L.
name: Zambrano, L.
name: Delgado, A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We introduce an inductive $n$-qubit pure-state estimation method. This is based on projective measurements on states of $2n+1$ separable bases or $2$ entangled bases plus the computational basis. Thus, the total number of measurement bases scales as $O(n)$ and $O(1)$, respectively. Thereby, the proposed method exhibits a very favorable scaling in the number of qubits when compared to other estimation methods. Monte Carlo numerical experiments show that the method can achieve a high estimation fidelity. For instance, an average fidelity of $0.88$ on the Hilbert space of $10$ qubits is achieved with $21$ separable bases. The use of separable bases makes our estimation method particularly well suited for applications in noisy intermediate-scale quantum computers, where entangling gates are much less accurate than local gates. We experimentally demonstrate the proposed method in one of IBM's quantum processors by estimating 4-qubit Greenberger-Horne-Zeilinger states with a fidelity close to $0.875$ via separable bases. Other $10$-qubit separable and entangled states achieve an estimation fidelity in the order of $0.85$ and $0.7$, respectively.
description: 10 pages, 3 figures
Applications of knowledge graphs for food science and industry
Creators: name: Min, Weiqing
name: Liu, Chunlin
name: Xu, Leyi
name: Jiang, Shuqiang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: The deployment of various networks (e.g., Internet of Things [IoT] and mobile networks), databases (e.g., nutrition tables and food compositional databases), and social media (e.g., Instagram and Twitter) generates huge amounts of food data, which present researchers with an unprecedented opportunity to study various problems and applications in food science and industry via data-driven computational methods. However, these multi-source heterogeneous food data appear as information silos, leading to difficulty in fully exploiting these food data. The knowledge graph provides a unified and standardized conceptual terminology in a structured form, and thus can effectively organize these food data to benefit various applications. In this review, we provide a brief introduction to knowledge graphs and the evolution of food knowledge organization mainly from food ontology to food knowledge graphs. We then summarize seven representative applications of food knowledge graphs, such as new recipe development, diet-disease correlation discovery, and personalized dietary recommendation. We also discuss future directions in this field, such as multimodal food knowledge graph construction and food knowledge graphs for human health.
description: 45 pages, 6 figures
Alcoholism treatment digest (Release No. 101, October 15, 1970)
Creators: name: Keller, Mark
Publisher: name: No Publisher Supplied
Year: 1970

description: The Alcoholism Treatment Digest was a subscription-based publication prepared for special clients by the editorial department of the Quarterly Journal of Studies on Alcohol / Journal of Studies on Alcohol from 1950 to 1973 with Mark Keller as editor. It was published in February, April, June, October, and December, summarizing scholarly content on four topics, available to republish with attribution. Some of the reviews were simultaneously published in the "Connecticut Review on Alcoholism" under the identical subtitle "Alcoholism Treatment Digest" every other month. The authors of the reviews were first noted in 1964, in the June issue.Contents, Release No. 1011.Hypnotherapy of Alcoholics2.Alcoholism Treated with Disulfiram Implants3.The Psychiatric Nurse in an Alcoholism Unit4.Planning Alcoholism Treatment5. Alcoholism Treatment--A Systems View
title: Cowichan Campus Staff Bulletin [November 2008]
Creators: name: (:Unkn) Unknown
Publisher: name: Electronic version published by Vancouver Island University
Year: 2008
Subjects: subject: Newsletters

description: Cowichan campus hours -- November 11 facts -- Donations for Somenos House -- Retirement celebration -- Halloween potluck -- The Centre for Continuing Studies -- Moodle workshop -- VIU cares -- Staffroom fridge etiquette -- Campus celebrations -- Do you like to decorate? -- Lizzy Lou's at the "U" -- Student services.
title: Cowichan Campus Staff Bulletin [September 2009]
Creators: name: (:Unkn) Unknown
Publisher: name: Electronic version published by Vancouver Island University
Year: 2009
Subjects: subject: Newsletters

description: State of the university address -- New campus-LEEDS gold certification - overview and Q&A -- Town hall meeting -- Cowichan place campus update -- Cowichan campus hours -- Centre for Continuing Studies -- VIU breaks ground on new $26.6 million Cowichan campus, September 4, 2009 -- Cowichan bookstore -- Cowichan United Way -- Cowichan cafeteria -- Canadian Tire money -- Cowichan VIU carpentry program.
title: Cowichan Campus Staff Bulletin [August 2012]
Creators: name: (:Unkn) Unknown
Publisher: name: Electronic version published by Vancouver Island University
Year: 2012
Subjects: subject: Newsletters

description: Mark your calendar -- Garage sale -- Parking pass up for grabs -- Cowichan campus hours of operation -- Continuing education -- Working alone -- Credit programs -- FINA World's Swim Competition 2012.