cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
JTW915434 Supplemental Material - Supplemental material for Text Recycling in STEM Research: An Exploratory Investigation of Expert and Novice Beliefs and Attitudes
Creators: name: Moskovitz, Cary
name: Hall, Susanne
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 200199 Communication and Media Studies not elsewhere classified
subject: FOS: Media and communications

description: Supplemental material, JTW915434 Supplemental Material for Text Recycling in STEM Research: An Exploratory Investigation of Expert and Novice Beliefs and Attitudes by Cary Moskovitz and Susanne Hall in Journal of Technical Writing and Communication
Online_Supplemental_Material – Supplemental material for An investigation of musical ability beliefs and self-concept among fourth-grade students in the United States
Creators: name: Shouldice, Heather Nelson
Publisher: name: SAGE Journals
Year: 2020
Subjects: Education

description: Supplemental material, Online_Supplemental_Material for An investigation of musical ability beliefs and self-concept among fourth-grade students in the United States by Heather Nelson Shouldice in International Journal of Music Education
Supplemental material for Change in incidence, characteristics and management of colorectal neuroendocrine tumours in the Netherlands in the last decade
Creators: name: Kooyker, Arthur I
name: Verbeek, Wieke HM
name: Berg, José G Van Den
name: Tesselaar, Margot ET
name: Leerdam, Monique E Van
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 110308 Geriatrics and Gerontology
subject: FOS: Clinical medicine
subject: 111199 Nutrition and Dietetics not elsewhere classified
subject: FOS: Health sciences
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences

description: Supplemental Material for Change in incidence, characteristics and management of colorectal neuroendocrine tumours in the Netherlands in the last decade by Arthur I Kooyker, Wieke HM Verbeek, José G van den Berg, Margot ET Tesselaar and Monique E van Leerdam in United European Gastroenterology Journal
Multiscale simulations for upscaled multi-continuum flows
Creators: name: Park, Jun Sur Richard
name: Cheung, Siu Wun
name: Mai, Tina
name: Hoang, Viet Ha
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 65N30, 65N99

description: We consider in this paper a challenging problem of simulating fluid flows, in complex multiscale media possessing multi-continuum background. As an effort to handle this obstacle, model reduction is employed. In \cite{rh2}, homogenization was nicely applied, to find effective coefficients and homogenized equations (for fluid flow pressures) of a dual-continuum system, with new convection terms and negative interaction coefficients. However, some degree of multiscale still remains. This motivates us to propose the generalized multiscale finite element method (GMsFEM), which is coupled with the dual-continuum homogenized equations, toward speeding up the simulation, improving the accuracy as well as clearly representing the interactions between the dual continua. In our paper, globally, each continuum is viewed as a system and connected to the other throughout the domain. We take into consideration the flow transfers between the dual continua and within each continuum itself. Such multiscale flow dynamics are modeled by the GMsFEM, which systematically generates either uncoupled or coupled multiscale basis (to carry the local characteristics to the global ones), via establishing local snapshots and spectral decomposition in the snapshot space. As a result, we will work with a system of two equations coupled with some interaction terms, and each equation describes one of the dual continua on the fine grid. Convergence analysis of the proposed GMsFEM is accompanied with the numerical results, which support the favorable outcomes.
description: 35 pages, 6 figures, 4 tables, submitted to Journal of Computational and Applied Mathematics
Additional file 1 of Kidney function loss and albuminuria progression with GLP-1 receptor agonists versus basal insulin in patients with type 2 diabetes: real-world evidence
Creators: name: Schechter, Meir
name: Melzer Cohen, Cheli
name: Fishkin, Alisa
name: Rozenberg, Aliza
name: Yanuv, Ilan
name: Sehtman-Shachar, Dvora R.
name: Chodick, Gabriel
name: Clark, Alice
name: Abrahamsen, Trine J.
name: Lawson, Jack
name: Karasik, Avraham
name: Mosenzon, Ofri
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Marine Biology
subject: Virology
subject: Computational Biology

description: Additional file 1: Table S1. Variable definitions, including ICD-9 and ATC codes, and MHS registries used for this study. Table S2. Baseline parameters in initiators of GLP-1 RAs or basal insulin before propensity-score matching. Table S3. Year of treatment initiation by study group, before and after matching. Table S4. Medianfollow-up duration per each follow-up analyses overall and by treatment arms. Table S5. Median number of eGFR measurements during follow-up per each follow-up analysis overall and by treatment arms. Table S6. Risk of the primary composite kidney outcomeor mean eGFR lossin patients with baseline eGFR > 90, 60- < 90, and < 60 mL/min/1.73 m2. Figure S1. CONSORT diagram describing the formation of the study population. Figure S2. The association between initiation of GLP-1 RA versus basal insulin and the risk of categorical eGFR decline or albuminuria progression in the ITT-48mo analyses.
HEB742748_suppl_mat – Supplemental material for Using the Intervention Mapping and Behavioral Intervention Technology Frameworks: Development of an mHealth Intervention for Physical Activity and Sedentary Behavior Change
Creators: name: Direito, Artur
name: Walsh, Deirdre
name: Moohamad Hinbarji
name: Albatal, Rami
name: Tooley, Mark
name: Whittaker, Robyn
name: Maddison, Ralph
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine
subject: 111799 Public Health and Health Services not elsewhere classified
subject: Sociology
subject: FOS: Sociology

description: Supplemental material, HEB742748_suppl_mat for Using the Intervention Mapping and Behavioral Intervention Technology Frameworks: Development of an mHealth Intervention for Physical Activity and Sedentary Behavior Change by Artur Direito, Deirdre Walsh, Moohamad Hinbarji, Rami Albatal, Mark Tooley, Robyn Whittaker and Ralph Maddison in Health Education & Behavior
A platform for lightweight deployment of IoT applications based on a Function-as-a-Service model
Creators: name: Sansó, Sebastià
name: Guerrero, Carlos
name: Lera, Isaac
name: Juiz, Carlos
Publisher: name: arXiv
Year: 2024
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: This paper presents a platform to facilitate the deployment of applications in Internet of Things (IoT) devices. The platform allows to the programmers to use a Function-as-a-Service programming paradigm that are managed and configured in a Platform-as-a-Service web tool. The tool also allows to establish interoperability between the functions of the applications. The proposed platform obtained faster and easier deployments of the applications and the resource usages of the IoT devices also were lower in relation to a deployment process based in containers of Docker.
description: in Spanish language
Barrett_Supplemental_Material – Supplemental material for Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements
Creators: name: Barrett, Lisa Feldman
name: Adolphs, Ralph
name: Marsella, Stacy
name: Aleix M. Martinez
name: Pollak, Seth D.
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: Neuroscience

description: Supplemental material, Barrett_Supplemental_Material for Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements by Lisa Feldman Barrett, Ralph Adolphs, Stacy Marsella, Aleix M. Martinez and Seth D. Pollak in Psychological Science in the Public Interest
Constraint energy minimizing generalized multiscale finite element method for nonlinear poroelasticity and elasticity
Creators: name: Fu, Shubin
name: Chung, Eric
name: Mai, Tina
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 65N30, 65N99

description: In this paper, we apply the constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) to first solving a nonlinear poroelasticity problem. The arising system consists of a nonlinear pressure equation and a nonlinear stress equation in strain-limiting setting, where strains keep bounded while stresses can grow arbitrarily large. After time discretization of the system, to tackle the nonlinearity, we linearize the resulting equations by Picard iteration. To handle the linearized equations, we employ the CEM-GMsFEM and obtain appropriate offline multiscale basis functions for the pressure and the displacement. More specifically, first, auxiliary multiscale basis functions are generated by solving local spectral problems, via the GMsFEM. Then, multiscale spaces are constructed in oversampled regions, by solving a constraint energy minimizing (CEM) problem. After that, this strategy (with the CEM-GMsFEM) is also applied to a static case of the above nonlinear poroelasticity problem, that is, elasticity problem, where the residual based online multiscale basis functions are generated by an adaptive enrichment procedure, to further reduce the error. Convergence of the two cases is demonstrated by several numerical simulations, which give accurate solutions, with converging coarse-mesh sizes as well as few basis functions (degrees of freedom) and oversampling layers.
description: 32 pages, 7 figures, 6 tables, submitted to Journal of Computational Physics
Supplementary_file_1_(revised) - Regional differences in airway susceptibility to cigarette smoke: An investigational case study of epithelial function and gene alterations in in vitro airway epithelial three-dimensional cultures
Creators: name: Matsumura, Kazushi
name: Kurachi, Takeshi
name: Shinkichi Ishikawa
name: Nobumasa Kitamura
name: Ito, Shigeaki
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine
subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: 70706 Veterinary Medicine
subject: FOS: Veterinary sciences

description: Supplementary_file_1_(revised) for Regional differences in airway susceptibility to cigarette smoke: An investigational case study of epithelial function and gene alterations in in vitro airway epithelial three-dimensional cultures by Kazushi Matsumura, Takeshi Kurachi, Shinkichi Ishikawa, Nobumasa Kitamura and Shigeaki Ito in Toxicology Research and Application
NBA: defensive distillation for backdoor removal via neural behavior alignment
Creators: name: Ying, Zonghao
name: Wu, Bin
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Recently, deep neural networks have been shown to be vulnerable to backdoor attacks. A backdoor is inserted into neural networks via this attack paradigm, thus compromising the integrity of the network. As soon as an attacker presents a trigger during the testing phase, the backdoor in the model is activated, allowing the network to make specific wrong predictions. It is extremely important to defend against backdoor attacks since they are very stealthy and dangerous. In this paper, we propose a novel defense mechanism, Neural Behavioral Alignment (NBA), for backdoor removal. NBA optimizes the distillation process in terms of knowledge form and distillation samples to improve defense performance according to the characteristics of backdoor defense. NBA builds high-level representations of neural behavior within networks in order to facilitate the transfer of knowledge. Additionally, NBA crafts pseudo samples to induce student models exhibit backdoor neural behavior. By aligning the backdoor neural behavior from the student network with the benign neural behavior from the teacher network, NBA enables the proactive removal of backdoors. Extensive experiments show that NBA can effectively defend against six different backdoor attacks and outperform five state-of-the-art defenses.
Additional file 1 of All-in-one smart dressing for simultaneous angiogenesis and neural regeneration
Creators: name: Yuan, Tiejun
name: Tan, Minhong
name: Xu, Yang
name: Xiao, Qiyao
name: Wang, Hui
name: Wu, Chen
name: Li, Fulun
name: Peng, Lihua
Publisher: name: figshare
Year: 2024
Subjects: Biophysics
Space Science
Medicine
Cell Biology
Molecular Biology
Pharmacology
Biological Sciences not elsewhere classified
Developmental Biology
Computational Biology

description: Additional file 1: Additional materials. Figure S1. Particle size distribution of VO2 and VZ. Figure S2. SA-β-gal staining of stem cells treated with different drugs (Scale bar = 200 μm). Figure S3. Western blot analysis of p-STAT3, STAT3, P-JAK2, JAK2 and PTEN in the wounds treated with different groups on day 3. Figure S4. In vivo wound regeneration. a Representative images of wounds throughout the healing process. b Quantitative analysis of wound healing ratio over time. Figure S5. Quantitative analysis of the granulation tissue thickness in different groups. *p < 0.05, **p < 0.01, ***p < 0.001 versus Blank group. Figure S6. H&E staining of major organs collected from SD rats treated with different groups (Scale bar = 50 μm).
Towards Monitoring Parkinson's Disease Following Drug Treatment: CGP Classification of rs-MRI Data
Creators: name: Dehsarvi, Amir
name: Palomares, Jennifer Kay South
name: Smith, Stephen Leslie
Publisher: name: arXiv
Year: 2019
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Background and Objective: It is commonly accepted that accurate monitoring of neurodegenerative diseases is crucial for effective disease management and delivery of medication and treatment. This research develops automatic clinical monitoring techniques for PD, following treatment, using the novel application of EAs. Specifically, the research question addressed was: Can accurate monitoring of PD be achieved using EAs on rs-fMRI data for patients prescribed Modafinil (typically prescribed for PD patients to relieve physical fatigue)? Methods: This research develops novel clinical monitoring tools using data from a controlled experiment where participants were administered Modafinil versus placebo, examining the novel application of EAs to both map and predict the functional connectivity in participants using rs-fMRI data. Specifically, CGP was used to classify DCM analysis and timeseries data. Results were validated with two other commonly used classification methods (ANN and SVM) and via k-fold cross-validation. Results: Findings revealed a maximum accuracy of 74.57% for CGP. Furthermore, CGP provided comparable performance accuracy relative to ANN and SVM. Nevertheless, EAs enable us to decode the classifier, in terms of understanding the data inputs that are used, more easily than in ANN and SVM. Conclusions: These findings underscore the applicability of both DCM analyses for classification and CGP as a novel classification technique for brain imaging data with medical implications for medication monitoring. Furthermore, classification of fMRI data for research typically involves statistical modelling techniques being often hypothesis driven, whereas EAs use data-driven explanatory modelling methods resulting in numerous benefits. DCM analysis is novel for classification and advantageous as it provides information on the causal links between different brain regions.
description: arXiv admin note: substantial text overlap with arXiv:1910.05378
The G-T-B Safety Lattice_
Creators: name: Bostick, Devin
Publisher: name: Zenodo
Year: 2025
Subjects: subject: CODES Framework
subject: Artificial intelligence
subject: Philosophy of Science
subject: Ethics in AI
subject: Theoretical physics
subject: Structured Resonance
subject: Phase Alignment Score (PAS)
subject: Resonance Intelligence Core (RIC)
subject: Coherence-Based AI
subject: Alignment Architecture
subject: GTB Lattice
subject: Deterministic Safety
subject: Post-Probabilistic AI

description: Main article

Abstract

Most AI safety paradigms rely on probabilistic filtering, red-teaming, and post-hoc interpretability. These methods fail to prevent hallucination, deception, or harm—they merely catch it after emergence. This paper introduces the G-T-B Safety Lattice, a deterministic framework for artificial intelligence alignment rooted in structured resonance, implemented natively within the Resonance Intelligence Core (RIC).

We propose that three convergent coherence axes—Good (ethical alignment), True (epistemic fidelity), and Beautiful (aesthetic integrity)—are not philosophical labels but measurable structural constraints within a resonance system. Each maps to a distinct RIC subsystem:

Good: AURA_OUT + ELF Memory → relational coherence & non-harmful output.

True: PAS Engine + CHORDLOCK → signal-structure resonance & non-hallucination.

Beautiful: CPR Function + Echo Tuner → waveform elegance & internal consistency.

Outputs are only emitted if all coherence layers exceed a Phase Alignment Score (PAS) threshold of ≥ 0.91. This creates a lawful, non-simulative safety substrate—one that cannot emit dissonant outputs, not because it is taught to behave, but because dissonance is physically blocked by system constraints. The G-T-B lattice offers a first-principles alternative to probabilistic alignment and lays the foundation for resonance-based lawful AI.
Future global existence and asymptotic behaviour of solutions to the Einstein-Boltzmann system with Bianchi I symmetry
Creators: name: Lee, Ho
name: Nungesser, Ernesto
Publisher: name: arXiv
Year: 2015
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In this paper we study the Einstein-Boltzmann system with Bianchi I symmetry. Isotropization of Bianchi I spacetimes was proved in [13] in the Vlasov case, and asymptotic behaviour of the relativistic Boltzmann equation was studied in [9] in the isotropic case. These results are generalized in the present paper to the non-isotropic and Boltzmann case. We assume that the initial data are small in a suitable sense, and show that solutions of the Einstein-Boltzmann system are future geodesically complete, that they isotropize and have a dust-like behaviour at late times. Detailed information about the metric and the matter terms is obtained. In short, the solution is asymptotically the Einstein-de Sitter solution.
description: 39 pages. Typos fixed, references added and relation to previous work clarified
Kummer sandwiches and Greene-Plesser construction
Creators: name: Braeger, Noah
name: Malmendier, Andreas
name: Sung, Yih
Publisher: name: arXiv
Year: 2019
Subjects: subject: Algebraic Geometry (math.AG)
subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 14J28, 14J33, 33C65

description: In the context of K3 mirror symmetry, the Greene-Plesser orbifolding method constructs a family of K3 surfaces, the mirror of quartic hypersurfaces in $\mathbb{P}^3$, starting from a special one-parameter family of K3 varieties known as the quartic Dwork pencil. We show that certain K3 double covers obtained from the three-parameter family of quartic Kummer surfaces associated with a principally polarized abelian surface generalize the relation of the Dwork pencil and the quartic mirror family. Moreover, for the three-parameter family we compute a formula for the rational point-count of its generic member and derive its transformation behavior with respect to $(2,2)$-isogenies of the underlying abelian surface.
description: 27 pages; minor typos corrected in version 2
Training of Quantized Deep Neural Networks using a Magnetic Tunnel Junction-Based Synapse
Creators: name: Toledo, Tzofnat Greenberg
name: Perach, Ben
name: Hubara, Itay
name: Soudry, Daniel
name: Kvatinsky, Shahar
Publisher: name: arXiv
Year: 2019
Subjects: subject: Emerging Technologies (cs.ET)
subject: Hardware Architecture (cs.AR)
subject: Machine Learning (cs.LG)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Quantized neural networks (QNNs) are being actively researched as a solution for the computational complexity and memory intensity of deep neural networks. This has sparked efforts to develop algorithms that support both inference and training with quantized weight and activation values, without sacrificing accuracy. A recent example is the GXNOR framework for stochastic training of ternary (TNN) and binary (BNN) neural networks. In this paper, we show how magnetic tunnel junction (MTJ) devices can be used to support QNN training. We introduce a novel hardware synapse circuit that uses the MTJ stochastic behavior to support the quantize update. The proposed circuit enables processing near memory (PNM) of QNN training, which subsequently reduces data movement. We simulated MTJ-based stochastic training of a TNN over the MNIST, SVHN, and CIFAR10 datasets and achieved an accuracy of 98.61%, 93.99% and 82.71%, respectively (less than 1% degradation compared to the GXNOR algorithm). We evaluated the synapse array performance potential and showed that the proposed synapse circuit can train ternary networks in situ, with 18.3TOPs/W for feedforward and 3TOPs/W for weight update.
description: Published in Semiconductor Science and Technology, Vol 36
The cosmological bulk flow in QCDM model: (In)consistency with $ΛCDM$
Creators: name: Salehi, A.
name: Yarahmadi, M.
name: Fathi, S.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We study the bulk flow of the local universe using Type Ia supernova data by considering a class of cosmological model which is spatially flat,(FRW) space-times and contains cold dark matter and $Q$ component (QCDM models) of the fluid as a scalar field, with self interactions determined by a potential $V(Q)=V_{0}Exp(-λQ)$ evolving in Universe. We use different cumulative redshift slices of the Union 2 catalogue. A maximum-likelihood analysis of peculiar velocities confirms that at low redshift $0.015 100 h^{-1}Mpc)$, they leaving an imprint on the microwave background anisotropy.
Supplemental_Table_1 - Quantitative Efficacy and Fate of Mesenchymal Stromal Cells Targeted to Cardiac Sites by Radiofrequency Catheter Ablation
Creators: name: Malik, Rizwan
name: Darche, Fabrice A.
name: Rivinius, Rasmus
name: Seckinger, Anja
name: Krause, Ulf
name: Koenen, Michael
name: Thomas, Dierk
name: Katus, Hugo A.
name: Schweizer, Patrick A.
Publisher: name: SAGE Journals
Year: 2020
Subjects: Medicine
Cell Biology

description: Supplemental_Table_1 for Quantitative Efficacy and Fate of Mesenchymal Stromal Cells Targeted to Cardiac Sites by Radiofrequency Catheter Ablation by Rizwan Malik, Fabrice A. Darche, Rasmus Rivinius, Anja Seckinger, Ulf Krause, Michael Koenen, Dierk Thomas, Hugo A. Katus and Patrick A. Schweizer in Cell Transplantation
Tate algebras and Frobenius non-splitting of excellent regular rings
Creators: name: Datta, Rankeya
name: Murayama, Takumi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Commutative Algebra (math.AC)
subject: Algebraic Geometry (math.AG)
subject: Functional Analysis (math.FA)
subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 13A35 (Primary) 14G22, 46S10, 12J25, 13F40 (Secondary)

description: An excellent ring of prime characteristic for which the Frobenius map is pure is also Frobenius split in many commonly occurring situations in positive characteristic commutative algebra and algebraic geometry. However, using a fundamental construction from rigid geometry, we show that excellent $F$-pure rings of prime characteristic are not Frobenius split in general, even for Euclidean domains. Our construction uses the existence of a complete non-Archimedean field $k$ of characteristic $p$ with no nonzero continuous $k$-linear maps $k^{1/p} \to k$. An explicit example of such a field is given based on ideas of Gabber, and may be of independent interest. Our examples settle a long-standing open question in the theory of $F$-singularities whose origin can be traced back to when Hochster and Roberts introduced the notion of $F$-purity. The excellent Euclidean domains we construct also admit no nonzero $R$-linear maps $R^{1/p} \rightarrow R$. These are the first examples that illustrate that $F$-purity and Frobenius splitting define different classes of singularities for excellent domains, and are also the first examples of excellent domains with no nonzero $p^{-1}$-linear maps. The latter is particularly interesting from the perspective of the theory of test ideals.
description: 17 pages. Comments welcome! v3: Minor changes. v2: Fixed typos
L6DNet: Light 6 DoF Network for Robust and Precise Object Pose Estimation with Small Datasets
Creators: name: Gonzalez, Mathieu
name: Kacete, Amine
name: Murienne, Albert
name: Marchand, Eric
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Estimating the 3D pose of an object is a challenging task that can be considered within augmented reality or robotic applications. In this paper, we propose a novel approach to perform 6 DoF object pose estimation from a single RGB-D image. We adopt a hybrid pipeline in two stages: data-driven and geometric respectively. The data-driven step consists of a classification CNN to estimate the object 2D location in the image from local patches, followed by a regression CNN trained to predict the 3D location of a set of keypoints in the camera coordinate system. To extract the pose information, the geometric step consists in aligning the 3D points in the camera coordinate system with the corresponding 3D points in world coordinate system by minimizing a registration error, thus computing the pose. Our experiments on the standard dataset LineMod show that our approach is more robust and accurate than state-of-the-art methods. The approach is also validated to achieve a 6 DoF positioning task by visual servoing.
description: This work has been accepted at IEEE Robotics and Automation Letters
Energy efficiency: a Lattice Boltzmann study
Creators: name: Turisini, Matteo
name: Amati, Giorgio
name: Acquaviva, Andrea
Publisher: name: arXiv
Year: 2024
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: The energy consumption and the compute performance of a fluid dynamic code have been investigated varying parallelization approach, arithmetic precision and clock speed. The code is based on a Lattice Boltzmann approximation, is written in Fortran and was executed on high-end GPUs of Leonardo Booster supercomputer. Tests were conducted on single server nodes (up to 4 GPUs in parallel). Performance metrics like the number of operations per second and energy consumption are reported, to quantify how smart coding approach and system adjustment can contribute to reduction of energy footprint while keeping the scientific throughput almost unaltered or with acceptable level of degradation. Results indicate that this application can be executed with 20% of energy saving and reduced thermal stress, at the cost of 5% more computing time. The paper presents preliminary conclusions, as it is a first step of a larger study dedicated to energy efficiency at scale.
Supplemental_material – Supplemental material for Serologic investigation of influenza A virus infection in dogs in Poland
Creators: name: Malgorzata Kwasnik
name: Smreczak, Marcin
name: Rola, Jerzy
name: Urbaniak, Kinga
name: Rozek, Wojciech
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine
subject: 70706 Veterinary Medicine
subject: FOS: Veterinary sciences

description: Supplemental material, Supplemental_material for Serologic investigation of influenza A virus infection in dogs in Poland by Malgorzata Kwasnik, Marcin Smreczak, Jerzy Rola, Kinga Urbaniak and Wojciech Rozek in Journal of Veterinary Diagnostic Investigation
Computing classical modular forms
Creators: name: Best, Alex J.
name: Bober, Jonathan
name: Booker, Andrew R.
name: Costa, Edgar
name: Cremona, John
name: Derickx, Maarten
name: Lee, Min
name: Lowry-Duda, David
name: Roe, David
name: Sutherland, Andrew V.
name: Voight, John
Publisher: name: arXiv
Year: 2020
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: We discuss practical and some theoretical aspects of computing a database of classical modular forms in the L-functions and Modular Forms Database (LMFDB).
description: 63 pages; minor edits, including a correction to Conjecture 8.5.1
Supplementary_Material - Signal to Noise Ratio as a Cross-Platform Metric for Intraoperative Fluorescence Imaging
Creators: name: Asmaysinh Gharia
name: Papageorgiou, Efthymios P.
name: Giverts, Simeon
name: Park, Catherine
name: Mekhail Anwar
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: Medicine
subject: Cell Biology
subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplementary_Material for Signal to Noise Ratio as a Cross-Platform Metric for Intraoperative Fluorescence Imaging by Asmaysinh Gharia, Efthymios P. Papageorgiou, Simeon Giverts, Catherine Park and Mekhail Anwar in Molecular Imaging
Angle-resolved optically detected magnetic resonance as a tool for strain determination in nanostructures
Creators: name: Bogucki, A.
name: Goryca, M.
name: Łopion, A.
name: Pacuski, W.
name: Połczyńska, K. E.
name: Domagała, J.
name: Tokarczyk, M.
name: Fąs, T.
name: Golnik, A.
name: Kossacki, P.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: In this paper, we apply the angle-resolved Optically Detected Magnetic Resonance (ODMR) technique to study series of strained (Cd, Mn)Te/(Cd, Mg)Te quantum wells (QWs) produced by molecular beam epitaxy. By analyzing characteristic features of ODMR angular scans, we determine strain-induced axial-symmetry spin Hamiltonian parameter D with neV precision. Furthermore, we use low-temperature optical reflectivity measurements and X-ray diffraction scans to evaluate the local strain present in QW material. In our analysis, we take into account different thermal expansion coefficients of GaAs substrate and CdTe buffer. The additional deformation due to the thermal expansion effects has the same magnitude as deformation origination from the different compositions of the samples. Based on the evaluated deformations and values of strain-induced axial-symmetry spin Hamiltonian parameter D, we find strain spin-lattice coefficient G11 = (72.2 +- 1.9) neV for Mn2+ in CdTe and shear deformation potential b = (-0.94 +- 0.11) eV for CdTe.
Additional file 1 of Valorization of Chlorella thermophila biomass cultivated in dairy wastewater for biopesticide production against bacterial rice blight: a circular biorefinery approach
Creators: name: Mohanty, Satya Sundar
name: Mohanty, Kaustubha
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Plant Biology

description: Additional file 1. Supplementary Information.
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios
Creators: name: Zhang, Chengyuan
name: Zhu, Jiacheng
name: Wang, Wenshuo
name: Xi, Junqiang
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Interpretation of common-yet-challenging interaction scenarios can benefit well-founded decisions for autonomous vehicles. Previous research achieved this using their prior knowledge of specific scenarios with predefined models, limiting their adaptive capabilities. This paper describes a Bayesian nonparametric approach that leverages continuous (i.e., Gaussian processes) and discrete (i.e., Dirichlet processes) stochastic processes to reveal underlying interaction patterns of the ego vehicle with other nearby vehicles. Our model relaxes dependency on the number of surrounding vehicles by developing an acceleration-sensitive velocity field based on Gaussian processes. The experiment results demonstrate that the velocity field can represent the spatial interactions between the ego vehicle and its surroundings. Then, a discrete Bayesian nonparametric model, integrating Dirichlet processes and hidden Markov models, is developed to learn the interaction patterns over the temporal space by segmenting and clustering the sequential interaction data into interpretable granular patterns automatically. We then evaluate our approach in the highway lane-change scenarios using the highD dataset collected from real-world settings. Results demonstrate that our proposed Bayesian nonparametric approach provides an insight into the complicated lane-change interactions of the ego vehicle with multiple surrounding traffic participants based on the interpretable interaction patterns and their transition properties in temporal relationships. Our proposed approach sheds light on efficiently analyzing other kinds of multi-agent interactions, such as vehicle-pedestrian interactions. View the demos via https://youtu.be/z_vf9UHtdAM.
description: for the supplements, see https://chengyuan-zhang.github.io/Multivehicle-Interaction/
K-theory of Springer varieties
Creators: name: Sankaran, Parameswaran
name: Uma, Vikraman
Publisher: name: arXiv
Year: 2022
Subjects: subject: Algebraic Topology (math.AT)
subject: FOS: Mathematics
subject: Primary 55N15, Secondary 14M15, 19L19

description: The aim of this paper is to describe the topological $K$-ring, in terms of generators and relations, of a Springer variety $\mathcal{F}_λ$ of type $A$ associated to a nilpotent operator having Jordan canonical form whose block sizes form a weakly decreasing sequence $λ=(λ_1,\ldots, λ_l)$. Our description parallels the description of the integral cohomology ring of $\mathcal{F}_λ$ due to Tanisaki and also the equivariant analogue due to Abe and Horiguchi.
description: 15 pages, Accepted for publication in Tohoku Mathematical Journal
Supplemental material for Diagnostic thoracic ultrasound imaging – An exploration of respiratory physiotherapists' interest and use in clinical practice: A national survey
Creators: name: Hayward, Simon
name: Smith, Mike
name: Innes, Sue
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111402 Obstetrics and Gynaecology
subject: FOS: Clinical medicine
subject: 110320 Radiology and Organ Imaging

description: Supplemental Material for Diagnostic thoracic ultrasound imaging – An exploration of respiratory physiotherapists' interest and use in clinical practice: A national survey by Simon Hayward, Mike Smith and Sue Innes in Ultrasound
Atenção Psicossocial e Saúde Mental em João Pessoa-PB
Creators: name: Luana Rodrigues de Almeida
Publisher: name: Zenodo
Year: 2024

description: “Atenção Psicossocial e Saúde Mental em João Pessoa-PB" é um material instrucional no formato de guia, contendo os serviços da Rede de Atenção Psicossocial (RAPS) localizados em João Pessoa, Paraíba, além de outros serviços que oferecem cuidados em saúde mental de forma transversal (serviços de atendimento à população com deficiência e a populações em situação de outras vulnerabilidades). O material foi elaborado por estudantes do curso de Graduação em Enfermagem da Universidade Federal da Paraíba (UFPB), Campus I, sob orientação das docentes da disciplina, e descreve os serviços ofertados na RAPS, de acordo com a classificação em oito componentes: 1) Atenção Básica; 2) Atenção Psicossocial Especializada; 3) Atenção de Urgência e Emergência; 4) Policlínicas; 5) Atenção Hospitalar; 6) Serviços de Atenção Especializada; 7) Centros de Práticas Integrativas e Complementares à Saúde; e 8) Atenção Residencial de Caráter Transitório. Este guia será útil à população de João Pessoa, facilitando a identificação dos serviços, a localização, o acesso e a navegação nesta rede de cuidados
Supplemental Material, USE_THIS_APPENDIX - The Social Integration of American Cities: Network Measures of Connectedness Based on Everyday Mobility Across Neighborhoods
Creators: name: Phillips, Nolan E.
name: Levy, Brian L.
name: Sampson, Robert J.
name: Small, Mario L.
name: Wang, Ryan Q.
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology
subject: Sociology

description: Supplemental Material, USE_THIS_APPENDIX for The Social Integration of American Cities: Network Measures of Connectedness Based on Everyday Mobility Across Neighborhoods by Nolan E. Phillips, Brian L. Levy, Robert J. Sampson, Mario L. Small and Ryan Q. Wang in Sociological Methods & Research
Seeing the unseen: a method to detect unresolved rings in protoplanetary disks
Creators: name: Scardoni, Chiara E.
name: Booth, Richard A.
name: Clarke, Cathie J.
name: Rosotti, Giovanni P.
name: Ribas, Alvaro
Publisher: name: arXiv
Year: 2024
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: While high resolution ALMA observations reveal a wealth of substructure in protoplanetary discs, they remain incapable of resolving the types of small scale dust structures predicted, for example, by numerical simulations of the streaming instability. In this Letter, we propose a method to find evidence for unresolved, optically thick dusty rings in protoplanetary disks. We demonstrate that, in presence of unresolved rings, the brightness of an inclined disc exhibits a distinctive emission peak at the minor axis. Furthermore, the azimuthal brightness depends on both the geometry of the rings and the dust optical properties; we can therefore use the azimuthal brightness variations to both detect unresolved rings and probe their properties. By analyzing the azimuthal brightness in the test-case of ring-like substructures formed by streaming instability, we show that the resulting peak is likely detectable by ALMA for typical disc parameters. Moreover, we present an analytic model that not only qualitatively but also quantitatively reproduces the peak found in the simulations, validating its applicability to infer the presence of unresolved rings in observations and characterize their optical properties and shape. This will contribute to the identification of disk regions where streaming instability (and thus planet formation) is occurring.
description: Accepted by ApJ, 10 pages, 6 figures
Appendix_A – Supplemental material for Province-level estimation of waste mobile phones in China and location planning of recycling centers
Creators: name: Juntao Wang
name: Mishima, Nozomu
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies

description: Supplemental material, Appendix_A for Province-level estimation of waste mobile phones in China and location planning of recycling centers by Juntao Wang and Nozomu Mishima in Waste Management & Research
Magnetic skyrmions under confinement
Creators: name: Monteil, Antonin
name: Muratov, Cyrill B.
name: Simon, Theresa M.
name: Slastikov, Valeriy V.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Analysis of PDEs (math.AP)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Mathematical Physics (math-ph)
subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We present a variational treatment of confined magnetic skyrmions in a minimal micromagnetic model of ultrathin ferromagnetic films with interfacial Dzylashinksii-Moriya interaction (DMI) in competition with the exchange energy, with a possible addition of perpendicular magnetic anisotropy. Under Dirichlet boundary conditions that are motivated by the asymptotic treatment of the stray field energy in the thin film limit we prove existence of topologically non-trivial energy minimizers that concentrate on points in the domain as the DMI strength parameter tends to zero. Furthermore, we derive the leading order non-trivial term in the $Γ$-expansion of the energy in the limit of vanishing DMI strength that allows us to completely characterize the limiting magnetization profiles and interpret them as particle-like states whose radius and position are determined by minimizing a renormalized energy functional. In particular, we show that in our setting the skyrmions are strongly repelled from the domain boundaries, which imparts them with stability that is highly desirable for applications. We provide explicit calculations of the renormalized energy for a number of basic domain geometries.
R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models
Creators: name: Tu, Shangqing
name: Wang, Yuanchun
name: Yu, Jifan
name: Xie, Yuyang
name: Shi, Yaran
name: Wang, Xiaozhi
name: Zhang, Jing
name: Hou, Lei
name: Li, Juanzi
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Large language models have achieved remarkable success on general NLP tasks, but they may fall short for domain-specific problems. Recently, various Retrieval-Augmented Large Language Models (RALLMs) are proposed to address this shortcoming. However, existing evaluation tools only provide a few baselines and evaluate them on various domains without mining the depth of domain knowledge. In this paper, we address the challenges of evaluating RALLMs by introducing the R-Eval toolkit, a Python toolkit designed to streamline the evaluation of different RAG workflows in conjunction with LLMs. Our toolkit, which supports popular built-in RAG workflows and allows for the incorporation of customized testing data on the specific domain, is designed to be user-friendly, modular, and extensible. We conduct an evaluation of 21 RALLMs across three task levels and two representative domains, revealing significant variations in the effectiveness of RALLMs across different tasks and domains. Our analysis emphasizes the importance of considering both task and domain requirements when choosing a RAG workflow and LLM combination. We are committed to continuously maintaining our platform at https://github.com/THU-KEG/R-Eval to facilitate both the industry and the researchers.
description: 12 pages, 9 figures, Accepted by KDD2024
A Survey on Transactional Stream Processing
Creators: name: Zhang, Shuhao
name: Soto, Juan
name: Markl, Volker
Publisher: name: arXiv
Year: 2022
Subjects: subject: Databases (cs.DB)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences
subject: H.2.4; A.1

description: Transactional stream processing (TSP) strives to create a cohesive model that merges the advantages of both transactional and stream-oriented guarantees. Over the past decade, numerous endeavors have contributed to the evolution of TSP solutions, uncovering similarities and distinctions among them. Despite these advances, a universally accepted standard approach for integrating transactional functionality with stream processing remains to be established. Existing TSP solutions predominantly concentrate on specific application characteristics and involve complex design trade-offs. This survey intends to introduce TSP and present our perspective on its future progression. Our primary goals are twofold: to provide insights into the diverse TSP requirements and methodologies, and to inspire the design and development of groundbreaking TSP systems.
Unconventional steady states and topological phases in an open two-level non-Hermitian system
Creators: name: Xu, Jian
name: Guo, Youneng
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Decoherence and non-Hermiticity are two different effects of the open quantum systems. Both of them have triggered many interesting phenomena. In this paper, we theoretically study an open two-level non-Hermitian system coupling to a dissipative environment by solving the vectorized Lindblad equation. This scheme provides us a powerful framework to address widespread open systems with gain, loss and dissipation. Our results show that there exist a new class of exceptional points (EPs) and steady states due to the interplay between non-Hermiticity and decoherence. Furthermore, we also demonstrate new-type topological properties of eigenstates with zero real-part of eigenvalues ($Re[λ]=0$) which are corresponding to Fermi arcs. It is revealed that the phases of eigenstates located in Fermi arcs regime have a topological phase $|π/2|$ which is totally unaffected by the dissipative environment. Our results provide a promising approach for further uncovering and understanding the intriguing properties of non-Hermitian open systems.
High Resolution Spatio-Temporal Model for Room-Level Airborne Pandemic Spread
Creators: name: Lazebnik, Teddy
name: Alexi, Ariel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: Numerical Analysis (math.NA)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Airborne pandemics have caused millions of deaths worldwide, large-scale economic losses, and catastrophic sociological shifts in human history. Researchers have developed multiple mathematical models and computational frameworks to investigate and predict the pandemic spread on various levels and scales such as countries, cities, large social events, and even buildings. However, modeling attempts of airborne pandemic dynamics on the smallest scale, a single room, have been mostly neglected. As time indoors increases due to global urbanization processes, more infections occur in shared rooms. In this study, a high-resolution spatio-temporal epidemiological model with airflow dynamics to evaluate airborne pandemic spread is proposed. The model is implemented using high-resolution 3D data obtained using a light detection and ranging (LiDAR) device and computing the model based on the Computational Fluid Dynamics (CFD) model for the airflow and the Susceptible-Exposed-Infected (SEI) model for the epidemiological dynamics. The pandemic spread is evaluated in four types of rooms, showing significant differences even for a short exposure duration. We show that the room's topology and individual distribution in the room define the ability of air ventilation to reduce pandemic spread throughout breathing zone infection.