cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The global structure of astrospheres: effect of Knudsen number
Creators: name: Korolkov, S. D.
name: Izmodenov, V. V.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The interaction between stellar winds and the partially ionized local interstellar medium (LISM) is quite common in astrophysics. However, the main difficulty in describing the neutral components lies in the fact that the mean free path of an interstellar atom, l, can be comparable to the characteristic size of an astrosphere, L (i.e., the Knudsen number, which is equal to l/L, is approximately equal to 1, as in the case of the heliosphere). In such cases, a single-fluid approximation becomes invalid, and a kinetic description must be used for the neutral component. In this study, we consider a general astrosphere and use a kinetic-gas dynamics model to investigate how the global structure of the astrosphere depends on the Knudsen number. We present numerical results covering an extremely wide range of Knudsen numbers (from 0.0001 to 100). Additionally, we explore the applicability of single-fluid approaches for modeling astrospheres of various sizes. We have excluded the influence of interstellar and stellar magnetic fields in our model to make parametric study of the kinetic effects feasible. The main conclusion of this work is that, for large astrospheres (with a distance to the bow shock greater than 600 AU) a heated rarefied plasma layer forms in the outer shock layer near the astropause. The formation of this layer is linked to localized heating of the plasma by atoms (specifically, ENAs) that undergo charge exchange again behind the astropause. This process significantly alters the flow structure in the outer shock layer and the location of the bow shock, and it cannot be described by a single-fluid model. Additionally, this paper discusses how atoms weaken the bow shocks at near-heliospheric conditions.
description: 15 pages, 7 figures
Large band-splitting in $g$-wave type altermagnet CrSb
Creators: name: Ding, Jianyang
name: Jiang, Zhicheng
name: Chen, Xiuhua
name: Tao, Zicheng
name: Liu, Zhengtai
name: Li, Tongrui
name: Liu, Jishan
name: Sun, Jianping
name: Cheng, Jinguang
name: Liu, Jiayu
name: Yang, Yichen
name: Zhang, Runfeng
name: Deng, Liwei
name: Jing, Wenchuan
name: Huang, Yu
name: Shi, Yuming
name: Ye, Mao
name: Qiao, Shan
name: Wang, Yilin
name: Guo, Yanfeng
name: Feng, Donglai
name: Shen, Dawei
Publisher: name: arXiv
Year: 2024
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Altermagnetism (AM), a newly discovered magnetic state, ingeniously integrates the properties of ferromagnetism and antiferromagnetism, representing a significant breakthrough in the field of magnetic materials. Despite experimental verification of some typical AM materials, such as MnTe and MnTe$_2$, the pursuit of AM materials that feature larger spin splitting and higher transition temperature is still essential. Here, our research focuses on CrSb, which possesses N{é}el temperature of up to 700K and giant spin splitting near the Fermi level ($E_F$). Utilizing high-resolution angle-resolved photoemission spectroscopy and density functional theory calculations, we meticulously map the three-dimensional electronic structure of CrSb. Our photoemission spectroscopic results on both (0001) and (10$\overline{1}$0) cleavages of CrSb collaboratively reveal unprecedented details on AM-induced band splitting, and subsequently pin down its unique bulk $g$-wave symmetry through quantitative analysis of the angular and photon-energy dependence of spin splitting. Moreover, the observed spin splitting reaches the magnitude of 0.93~eV near $E_F$, the most substantial among all confirmed AM materials. This study not only validates the nature of CrSb as a prototype $g$-wave like AM material but also underscores its pivotal role in pioneering applications in spintronics.
description: 7 pages, 4 figures
sj-docx-1-nah-10.1177_02601060211032886 - Supplemental material for Examining correlates of feeding practices among parents of preschoolers
Creators: name: Srivastava, Deepa
name: Zheng, Lucy R.
name: Dev, Dipti A.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111199 Nutrition and Dietetics not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-docx-1-nah-10.1177_02601060211032886 for Examining correlates of feeding practices among parents of preschoolers by Deepa Srivastava, Lucy R. Zheng and Dipti A. Dev in Nutrition and Health
Additional file 1 of Tick-borne bacterial agents in Hyalomma asiaticum ticks from Xinjiang Uygur Autonomous Region, Northwest China
Creators: name: Zhang, Bing
name: Zhang, Niuniu
name: Zheng, Tao
name: Lu, Miao
name: Baoli, Bierk
name: Jie, Runda
name: Wang, Xiao
name: Li, Kun
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1: Table S1. Accession numbers of the 16S, gltA, and groEL sequences of Borrelia, Rickettsia, Ehrlichia, and Anaplasma strains in this study in the GenBank Database.
Non-equilibrium dynamic hyperuniform states
Creators: name: Lei, Yusheng
name: Ni, Ran
Publisher: name: arXiv
Year: 2024
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Disordered hyperuniform structures are an exotic state of matter having suppressed density fluctuations at large length-scale similar to perfect crystals and quasicrystals but without any long range orientational order. In the past decade, an increasing number of non-equilibrium systems were found to have dynamic hyperuniform states, which have emerged as a new research direction coupling both non-equilibrium physics and hyperuniformity. Here we review the recent progress in understanding dynamic hyperuniform states found in various non-equilibrium systems, including the critical hyperuniformity in absorbing phase transitions, non-equilibrium hyperuniform fluids and the hyperuniform structures in phase separating systems via spinodal decomposition.
sj-pdf-5-nms-10.1177_14614448211041176 – Supplemental material for Measuring coordinated versus spontaneous activity in online social movements
Creators: name: Francois, Camille
name: Barash, Vladimir
name: Kelly, John
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 200199 Communication and Media Studies not elsewhere classified
subject: FOS: Media and communications

description: Supplemental material, sj-pdf-5-nms-10.1177_14614448211041176 for Measuring coordinated versus spontaneous activity in online social movements by Camille Francois, Vladimir Barash and John Kelly in New Media & Society
Pico: A Domain-Specific Language For Data Analytics Pipelines
Creators: name: Misale, Claudia
Publisher: name: Zenodo
Year: 2017
Subjects: BigData Analytics
Parallel Computing
Parallel programming framework
C++
Domain Specific Language

description: In the world of Big Data analytics, there is a series of tools aiming at simplifying programming applications to be executed on clusters. Although each tool claims to provide better programming, data and execution models—for which only informal (and often confusing) semantics is generally provided—all share a common under- lying model, namely, the Dataflow model. Using this model as a starting point, it is possible to categorize and analyze almost all aspects about Big Data analytics tools from a high level perspective. This analysis can be considered as a first step toward a formal model to be exploited in the design of a (new) framework for Big Data analytics. By putting clear separations between all levels of abstraction (i.e., from the runtime to the user API), it is easier for a programmer or software designer to avoid mixing low level with high level aspects, as we are often used to see in state-of-the-art Big Data analytics frameworks.

From the user-level perspective, we think that a clearer and simple semantics is preferable, together with a strong separation of concerns. For this reason, we use the Dataflow model as a starting point to build a programming environment with a simplified programming model implemented as a Domain-Specific Language, that is on top of a stack of layers that build a prototypical framework for Big Data analytics.

The contribution of this thesis is twofold: first, we show that the proposed model is (at least) as general as existing batch and streaming frameworks (e.g., Spark, Flink, Storm, Google Dataflow), thus making it easier to understand high-level data-processing applications written in such frameworks. As result of this analysis, we provide a layered model that can represent tools and applications following the Dataflow paradigm and we show how the analyzed tools fit in each level.

Second, we propose a programming environment based on such layered model in the form of a Domain-Specific Language (DSL) for processing data collections, called PiCo (Pipeline Composition). The main entity of this programming model is the Pipeline, basically a DAG-composition of processing elements. This model is intended to give the user an unique interface for both stream and batch processing, hiding completely data management and focusing only on operations, which are represented by Pipeline stages. Our DSL will be built on top of the FastFlow library, exploiting both shared and distributed parallelism, and implemented in C++11/14 with the aim of porting C++ into the Big Data world.
Lagrangian Multiform for Cyclotomic Gaudin Models
Creators: name: Caudrelier, Vincent
name: Singh, Anup Anand
name: Vicedo, Benoît
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mathematical Physics (math-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: FOS: Physical sciences

description: We construct a Lagrangian multiform for the class of cyclotomic (rational) Gaudin models by formulating its hierarchy within the Lie dialgebra framework of Semenov-Tian-Shansky and by using the framework of Lagrangian multiforms on coadjoint orbits. This provides the first example of a Lagrangian multiform for an integrable hierarchy whose classical $r$-matrix is non-skew-symmetric and spectral parameter-dependent. As an important by-product of the construction, we obtain a Lagrangian multiform for the periodic Toda chain by choosing an appropriate realisation of the cyclotomic Gaudin Lax matrix. This fills a gap in the landscape of Toda models as only the open and infinite chains had been previously cast into the Lagrangian multiform framework. A slightly different choice of realisation produces the so-called discrete self-trapping (DST) model. We demonstrate the versatility of the framework by coupling the periodic Toda chain with the DST model and by obtaining a Lagrangian multiform for the corresponding integrable hierarchy.
sj-pdf-1-mcr-10.1177_1077558715617382 – Supplemental material for Do Veterans Health Administration Enrollees Generalize to Other Populations?
Creators: name: Wong, Edwin S.
name: Wang, Virginia
name: Liu, Chuan-Fen
name: Hebert, Paul L.
name: Maciejewski, Matthew L.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, sj-pdf-1-mcr-10.1177_1077558715617382 for Do Veterans Health Administration Enrollees Generalize to Other Populations? by Edwin S. Wong, Virginia Wang, Chuan-Fen Liu, Paul L. Hebert and Matthew L. Maciejewski in Medical Care Research and Review
Emerging Adults’ Online Gender Performance and Associations with Personality Disorder Features
Creators: name: Kurup, Allycen R
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Gender psychology
Clinical psychology
Communication technology and digital media studies

description: Emerging adults, defined as ages 18-29, are tasked with continuing identity development as they transition from adolescence to adulthood. Central to identity development is gender identity development and expression, and engaging in this developmental task can relate to psychosocial functioning. One way to explore how emerging adults perform their gender is via digital communication, given that it is nearly ubiquitously used, provides unique affordances that could transform the ways that gender-stereotyped behaviors are performed, and can be naturalistically observed. Further, using co-construction and transformation theories, gender performance via digital communication can be examined in relation to offline experiences, specifically personality disorder features that may reflect gender-stereotyped psychosocial functioning difficulties.
The current study explored two questions: (1) Are masculine and feminine categories of posting behaviors, as defined by previous research, observable in emerging adults’ Facebook posts? and (2) Do these highly stereotypical online gender performance behaviors relate to personality disorder features offline? It was hypothesized that the masculine-presenting behaviors would be more prevalent in male-identifying participants, feminine-presenting behaviors would be more prevalent in female-identifying participants, and two latent factors of online masculinity and femininity would emerge. Further, it was hypothesized that extreme scores of masculinity and femininity would relate to narcissistic personality disorder features and that extreme scores of femininity would relate to borderline personality disorder features.
Using content coding of observational Facebook profile data, several behavioral categories related to gender display and performance were explored, including emotion presentation, personal talk, impersonal talk, relationship building, relationship expanding, active display in photos, and passive display in photos. These behaviors were explored by gender and in relation to narcissistic and borderline personality disorder features. The results provided very limited support for the hypotheses, namely that some feminine behaviors were more prevalent in women and related to borderline personality disorder features. These results suggest that our current understanding of gender performance must be re-examined in order to make conclusions about how gender is performed online and what implications these may have for offline personality functioning.
Dense Connector for MLLMs
Creators: name: Yao, Huanjin
name: Wu, Wenhao
name: Yang, Taojiannan
name: Song, YuXin
name: Zhang, Mengxi
name: Feng, Haocheng
name: Sun, Yifan
name: Li, Zhiheng
name: Ouyang, Wanli
name: Wang, Jingdong
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Do we fully leverage the potential of visual encoder in Multimodal Large Language Models (MLLMs)? The recent outstanding performance of MLLMs in multimodal understanding has garnered broad attention from both academia and industry. In the current MLLM rat race, the focus seems to be predominantly on the linguistic side. We witness the rise of larger and higher-quality instruction datasets, as well as the involvement of larger-sized LLMs. Yet, scant attention has been directed towards the visual signals utilized by MLLMs, often assumed to be the final high-level features extracted by a frozen visual encoder. In this paper, we introduce the Dense Connector - a simple, effective, and plug-and-play vision-language connector that significantly enhances existing MLLMs by leveraging multi-layer visual features, with minimal additional computational overhead. Building on this, we also propose the Efficient Dense Connector, which achieves performance comparable to LLaVA-v1.5 with only 25% of the visual tokens. Furthermore, our model, trained solely on images, showcases remarkable zero-shot capabilities in video understanding as well. Experimental results across various vision encoders, image resolutions, training dataset scales, varying sizes of LLMs (2.7B->70B), and diverse architectures of MLLMs (e.g., LLaVA-v1.5, LLaVA-NeXT and Mini-Gemini) validate the versatility and scalability of our approach, achieving state-of-the-art performance across 19 image and video benchmarks. We hope that this work will provide valuable experience and serve as a basic module for future MLLM development. Code is available at https://github.com/HJYao00/DenseConnector .
description: 27 pages, NeurIPS 2024
EXAMINATION OF LITHIUM-ION BATTERY PERFORMANCE DEGRADATION UNDER DYNAMIC ENVIRONMENT AND EARLY DETECTION OF THERMAL RUNAWAY WITH INTERNAL SENSOR MEASUREMENT
Creators: name: Li, Bing
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Aerospace engineering not elsewhere classified

description: Performance degradation of lithium-ion batteries (LIBs) from in-service abuse was analyzed using novel dynamic abuse tests and sensor-based in-situ monitoring of battery state of health (SOH). The relation between dynamic impact and structure changes of LiCoO2 (LCO) electrode was analyzed through a nano-impact test directly applied to the electrode and Raman imaging. After the electrode structure damage induced by the dynamic loading was analyzed, the performance of the LIBs with the abused electrodes was evaluated to establish the relation between the number of impact cycles and LIB performance degradation. The mechanism of impact related LIB capacity decrease was analyzed, and the capacity change can be predicted based on the impact abuse history using this approach. In order to provide more detailed information on the battery performance degradation caused by the in-service dynamic loads, a dynamic aging testing platform was designed to simulate in-service vibration and impact experienced by the LIBs. Based on the lessons learned, a sensor network was constructed to provide a comprehensive in-situ evaluation of the SOH of commercial batteries. Mechanisms of LIB capacity fade, temperature increase, and cell deformation from cycling in representative dynamic environments were analyzed and correlated with theoretical predictions. Difference between the aging of a battery pack and that of a single cell was also investigated, which presented the influence of current imbalance on the SOH decay of battery packs. SEM imaging, Raman imaging, and electrochemical impedance spectroscopy (EIS) analysis were also applied to support the sensor network measurements.
 In order to provide an early detection of catastrophic LIB failure such as thermal runaway, an internal resistance temperature detector (RTD) based electrode temperature monitoring approach was developed. By embedding the RTD into LIBs with 3D printing technique, electrode temperature can be collected during ordinary cycling and electrical abuse of LIBs, such as external short circuit and overcharge. The internal RTD presented high measuring efficiency, while there was no interference between the sensor measurement and battery operation. The internal RTD detected the short circuit event and overcharge failure prior of time: the efficiency of the internal RTD was 6-10 times higher than the external RTD in the short circuit test. This provided the chance for early detection and prevention of catastrophic LIB failures. Besides, with the detailed information on electrode temperature evolution during LIB thermal runaway available, the internal RTD also provided the chance to enhance the understanding of the thermal runaway mechanism.
Additional file 1 of Phytochemical characterization, antimicrobial and antioxidant activities of Terminalia catappa methanol and aqueous extracts
Creators: name: Mwangi, Wangui Clement
name: Waudo, Walyambillah
name: Shigwenya, Madivoli Edwin
name: Gichuki, Joyline
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology

description: Supplementary Material 1.
sj-pdf-1-cad-10.1177_00111287211041527 – Supplemental material for (Re)conceptualizing Neighborhood Ecology in Social Disorganization Theory: From a Variable-Centered Approach to a Neighborhood-Centered Approach
Creators: name: Kubrin, Charis E.
name: Branic, Nicholas
name: Hipp, John R.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160299 Criminology not elsewhere classified
subject: FOS: Law

description: Supplemental material, sj-pdf-1-cad-10.1177_00111287211041527 for (Re)conceptualizing Neighborhood Ecology in Social Disorganization Theory: From a Variable-Centered Approach to a Neighborhood-Centered Approach by Charis E. Kubrin, Nicholas Branic and John R. Hipp in Crime & Delinquency
A multiphase eigenvalue problem on a stratified Lie group
Creators: name: Choudhuri, Debajyoti
name: Tavares, Leandro S.
name: Repovš, Dušan D.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 35J35, 35J60

description: We consider a multiphase spectral problem on a stratified Lie group. We prove the existence of an eigenfunction of $(2,q)$-eigenvalue problem on a bounded domain. Furthermore, we also establish a Pohozaev-like identity corresponding to the problem on the Heisenberg group.
title: Descriptional Complexity of Restricted CD Grammar Systems
Creators: name: Bordihn, Henning
name: Sunckel, Bettina
Publisher: name: Institut für Informatik, Justus-Liebig-Universität Giessen
Year: 2009

description: The problem is addressed to what extent cooperating distributed (CD) grammar systems with
metalinear components are more succinct than metalinear grammars when
describing metalinear languages. As measures of succinctness, the number of variables,
the number of productions and the total number of symbols are considered. It is shown
that CD grammar systems can achieve the best possible increase of efficiency compared
with metalinear grammars with respect to all the three measures and in case of almost
all derivation modes. Regarding the numbers of variables and productions, these results
remain valid even in comparison with context-free grammars. Finally, the known
results for unrestricted context-free CD grammar systems in comparison with context-free
grammars are supplemented with respect to another derivation mode, namely the
full competence (sf-) mode.
description: Journal of Automata, Languages and Combinatorics, Volume 14, Number 1, 2009, 7-22
title: Lower Bounds on the Size of Sweeping Automata
Creators: name: Hromkovič, Juraj
name: Schnitger, Georg
Publisher: name: Institut für Informatik, Justus-Liebig-Universität Giessen
Year: 2009

description: A deterministic sweeping automaton is a two-way deterministic automaton (2-DFA)
which makes turns only at the left or right end of the input. We give a survey on
recent lower bounds for the conciseness of sweeping automata. We also show that any
sweeping automaton for the language $(L\$)^*$ has to have at least $\sqrt{m/2}$ states whenever
the nondeterministic message complexity of $L$ is at least $m$. Thus we obtain the first
general method to establish lower bounds on the conciseness of sweeping automata.
description: Journal of Automata, Languages and Combinatorics, Volume 14, Number 1, 2009, 23-31
Interacting phase diagram of twisted bilayer MoTe$_2$ in magnetic field
Creators: name: Wang, Minxuan
name: Wang, Xiaoyu
name: Vafek, Oskar
Publisher: name: arXiv
Year: 2024
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We study electron-electron interaction induced states of twisted bilayer MoTe$_2$ in an out-of-plane magnetic field $B\hat{\bf z}$ near one hole per moiré unit cell filling. The 3D phase diagram showing the evolution of competing phases with $B$, interaction strength and an out-of-plane electric field is presented at electron fillings that follow the Diophantine equation along Chern number $-\text{sign}\left(B\right)$ line, that is pointing away from the charge neutral filling, where we find prominent Chern insulators consistent with the experiments. We also explain the experimental absence of prominent Chern insulators along the Chern number $+\text{sign}\left(B\right)$ line.
description: 6+9 pages, 4+7 figures typo in Fig 2g corrected, a reference added, minor edits
sj-pdf-1-jit-10.1177_15280837211041769 – Supplemental Material for Eco-friendly sorbent of bacterial cellulose/metal–organic framework composite membrane for effective bisphenol a removal
Creators: name: Sun, Yue
name: Li, Xin
name: Li, Dawei
name: Ke, Huizhen
name: Wei, Qufu
Publisher: name: SAGE Journals
Year: 2021
Subjects: Materials Engineering not elsewhere classified

description: Supplemental Material, sj-pdf-1-jit-10.1177_15280837211041769 for Eco-friendly sorbent of bacterial cellulose/metal–organic framework composite membrane for effective bisphenol a removal by Yue Sun, Xin Li, Dawei Li, Huizhen Ke and Qufu Wei in Journal of Industrial Textiles
Atomically sharp 1D interfaces in 2D lateral heterostructures of VSe$_2$-NbSe$_2$ monolayers
Creators: name: Huang, Xin
name: González-Herrero, Héctor
name: Silveira, Orlando J.
name: Kezilebieke, Shawulienu
name: Liljeroth, Peter
name: Sainio, Jani
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Van der Waals heterostructures have emerged as an ideal platform for creating engineered artificial electronic states. While vertical heterostructures have been extensively studied, realizing high-quality lateral heterostructures with atomically sharp interfaces remains a major experimental challenge. Here, we advance a one-pot two-step molecular beam lateral epitaxy approach and successfully synthesize atomically well-defined 1T-VSe$_2$ -- 1H-NbSe$_2$ lateral heterostructures. We demonstrate the formation of defect-free lateral heterostructures and characterize their electronic structure using scanning tunnelling microscopy and spectroscopy together with density functional theory calculations. We find additional electronic states at the one-dimensional interface as well as signatures of Kondo resonances in a side-coupled geometry. Our experiments explore the full potential of lateral heterostructures for realizing exotic electronic states in low-dimensional systems for further studies of artificial designer quantum materials.
sj-pdf-1-jcb-10.1177_0271678X211039592 - Supplemental material for Amyloid-β disrupts unitary calcium entry through endothelial NMDA receptors in mouse cerebral arteries
Creators: name: Peters, Emily C
name: Gee, Michael T
name: Pawlowski, Lukas N
name: Kath, Allison M
name: Polk, Felipe D
name: Vance, Christopher J
name: Sacoman, Juliana L
name: Pires, Paulo W
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110305 Emergency Medicine
subject: FOS: Clinical medicine
subject: 110306 Endocrinology
subject: Medicine
subject: 110904 Neurology and Neuromuscular Diseases
subject: 110320 Radiology and Organ Imaging
subject: Cell Biology
subject: Biochemistry
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Neuroscience

description: Supplemental material, sj-pdf-1-jcb-10.1177_0271678X211039592 for Amyloid-β disrupts unitary calcium entry through endothelial NMDA receptors in mouse cerebral arteries by Emily C Peters, Michael T Gee, Lukas N Pawlowski, Allison M Kath, Felipe D Polk, Christopher J Vance, Juliana L Sacoman and Paulo W Pires in Journal of Cerebral Blood Flow & Metabolism
sj-pdf-1-trj-10.1177_00405175211037189 - Supplemental material for A self-healing fluorine-free superhydrophobic cotton fabric under heat stimulation
Creators: name: Yang, Xue
name: Su, Jing
name: Xiong, Jingjing
name: Wang, Hongbo
Publisher: name: SAGE Journals
Year: 2021
Subjects: Materials Engineering not elsewhere classified

description: Supplemental material, sj-pdf-1-trj-10.1177_00405175211037189 for A self-healing fluorine-free superhydrophobic cotton fabric under heat stimulation by Xue Yang, Jing Su, Jingjing Xiong and Hongbo Wang in Textile Research Journal
Fusing uncalibrated IMUs and handheld smartphone video to reconstruct knee kinematics
Creators: name: Peiffer, J. D.
name: Shah, Kunal
name: Anarwala, Shawana
name: Abdou, Kayan
name: Cotton, R. James
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Video and wearable sensor data provide complementary information about human movement. Video provides a holistic understanding of the entire body in the world while wearable sensors provide high-resolution measurements of specific body segments. A robust method to fuse these modalities and obtain biomechanically accurate kinematics would have substantial utility for clinical assessment and monitoring. While multiple video-sensor fusion methods exist, most assume that a time-intensive, and often brittle, sensor-body calibration process has already been performed. In this work, we present a method to combine handheld smartphone video and uncalibrated wearable sensor data at their full temporal resolution. Our monocular, video-only, biomechanical reconstruction already performs well, with only several degrees of error at the knee during walking compared to markerless motion capture. Reconstructing from a fusion of video and wearable sensor data further reduces this error. We validate this in a mixture of people with no gait impairments, lower limb prosthesis users, and individuals with a history of stroke. We also show that sensor data allows tracking through periods of visual occlusion.
description: Accepted to International Conference on Biomedical Robotics and Biomechatronics 2024
title: Markers and Deterministic Acceptors for Non-Deterministic Languages
Creators: name: Jürgensen, Helmut
Publisher: name: Institut für Informatik, Justus-Liebig-Universität Giessen
Year: 2009

description: We investigate the question as to how the intuitive structure of words in a formal
language is reflected by the structure of the reduced deterministic acceptor for that
language. Markers in words are known to facilitate the understanding of structure and
the design ofword recognition algorithms. Explicit markers, that is, special symbols,are
rather artificial. To avoid such special symbols, but to benefit from the effect of markers
we consider implicit markers -- special words which provide segmentation information
about input words. We propose a formal definition of markers based on the notion of
relativized solid codes and indicate how this concept can assist in the understanding of
the structure of words and the construction of acceptors via automaton extensions.
description: Journal of Automata, Languages and Combinatorics, Volume 14, Number 1, 2009, 33-62
Additional file 1 of Prescription opioid dispensing patterns among patients with schizophrenia or bipolar disorder
Creators: name: Roy, Brittany D.
name: Li, Jianheng
name: Lally, Cathy
name: Akerman, Sarah C.
name: Sullivan, Maria A.
name: Fratantonio, James
name: Flanders, William Dana
name: Wenten, Madé
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Marine Biology
subject: Cancer
subject: Science Policy
subject: Mental Health

description: Additional File 1. Demographic and Clinical Characteristics for Patients With Schizophrenia or Bipolar Disorder and Matched Controls: 2015.
Differential polarizability at 1064 nm of the strontium intercombination transition
Creators: name: Journet, Romaric
name: Faisant, Félix
name: Lee, Sanghyeop
name: Cheneau, Marc
Publisher: name: arXiv
Year: 2024
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We measure the scalar, vector and tensor components of the differential dynamic polarizability of the strontium intercombination transition at 1064 nm. We compare the experimental values with the theoretical prediction based on the most recently published spectroscopic data, and find a very good agreement. We also identify a close-to-circular `magic' polarization where the differential polarizability strictly vanishes, and precisely determine its ellipticity. Our work opens new perspectives for laser cooling optically trapped strontium atoms, and provides a new benchmark for atomic models in the near infrared spectral range.
description: 9 pages, 3 figures, 3 tables
sj-pdf-3-hss-10.1177_15563316211039203 – Supplemental material for Total Knee Arthroplasty in Patients With Prior Ipsilateral Hip Fusion: A Surgical Technique
Creators: name: Encinas-Ullán, Carlos A.
name: Gómez-Cardero, Primitivo
name: Rodríguez-Merchán, E. Carlos
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110323 Surgery
subject: FOS: Clinical medicine

description: Supplemental material, sj-pdf-3-hss-10.1177_15563316211039203 for Total Knee Arthroplasty in Patients With Prior Ipsilateral Hip Fusion: A Surgical Technique by Carlos A. Encinas-Ullán, Primitivo Gómez-Cardero and E. Carlos Rodríguez-Merchán in HSS Journal®: The Musculoskeletal Journal of Hospital for Special Surgery
Neutron skin impurity from Coulomb core polarization in $^{208}\text{Pb}$: Insights from PREX-II and validation via the $(^{3}\text{He}, t)$ isobaric analog state reaction
Creators: name: Huan, Phan Nhut
Publisher: name: arXiv
Year: 2024
Subjects: subject: Nuclear Theory (nucl-th)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: I investigate the effect of Coulomb core-polarization in $^{208}\text{Pb}$, highlighting its impact on uncertainties in neutron distribution measurements due to the discrepancy between neutron excess and neutron skin regions at the surface. This effect is validated using the $(^{3}\text{He}, t)$ isobaric analog state (IAS) reaction at 420 MeV. My findings reveal that the Coulomb boundary radius, where core-polarization becomes negligible, is critical for accurately probing the neutron skin region in the target nucleus. Consequently, I propose extending the $^{208}\text{Pb}(^{3}\text{He}, t)$IAS reaction experiment conducted by Zegers et al. [Phys. Rev. Lett. 99, 202501 (2007)] to measure cross sections up to 3$^\circ$ angles to more precisely determine the neutron skin thickness in $^{208}\text{Pb}$ from theoretical reaction analysis. Additionally, I observe that, under the assumption of a large neutron skin in $^{208}\text{Pb}$, as suggested by the PREX-II result, the core-polarization effect introduces impurity into the neutron skin region.
description: 6 pages, 4 figures. Accepted for publication as a Letter in Physical Review C
Supplemental Material, sj-pdf-2-eax-10.1177_21676968211031120 - Evidence on Resilient Initial Response to COVID-19 Pandemic Among Youth: Findings From the Prospective Study of Mental Health in Two European Countries
Creators: name: Truskauskaite-Kuneviciene, Inga
name: Brailovskaia, Julia
name: Margraf, Jürgen
name: Kazlauskas, Evaldas
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental Material, sj-pdf-2-eax-10.1177_21676968211031120 for Evidence on Resilient Initial Response to COVID-19 Pandemic Among Youth: Findings From the Prospective Study of Mental Health in Two European Countries by Inga Truskauskaite-Kuneviciene, Julia Brailovskaia, Jürgen Margraf and Evaldas Kazlauskas in Emerging Adulthood
sj-docx-2-whe-10.1177_17455065211042182 – Supplemental material for Barriers to nutritional pregnancy preparation and support needs in women and men: Qualitative study based on the Theoretical Domains Framework
Creators: name: Quayyum, Fareeha
name: Dombrowski, Stephan U
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111402 Obstetrics and Gynaecology
subject: FOS: Clinical medicine

description: Supplemental material, sj-docx-2-whe-10.1177_17455065211042182 for Barriers to nutritional pregnancy preparation and support needs in women and men: Qualitative study based on the Theoretical Domains Framework by Fareeha Quayyum and Stephan U Dombrowski in Women’s Health
Additional file 2 of Prescription opioid dispensing patterns among patients with schizophrenia or bipolar disorder
Creators: name: Roy, Brittany D.
name: Li, Jianheng
name: Lally, Cathy
name: Akerman, Sarah C.
name: Sullivan, Maria A.
name: Fratantonio, James
name: Flanders, William Dana
name: Wenten, Madé
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Marine Biology
subject: Cancer
subject: Science Policy
subject: Mental Health

description: Additional File 2. Demographic and Clinical Characteristics for Patients With Schizophrenia or Bipolar Disorder and Matched Controls: 2016.
Hybrid inflation and gravitational waves from accidentally light scalars
Creators: name: Brümmer, Felix
name: Ferrante, Giacomo
name: Frigerio, Michele
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We construct a hybrid-inflation model where the inflaton potential is generated radiatively, as gauge symmetries guarantee it to be accidentally flat at tree level. The model can be regarded as a small-field version of Natural Inflation, with inflation ending when the mass of a second scalar, the waterfall field, turns tachyonic. This provides a minimal, robust realization of hybrid inflation, which predicts specific correlations among Cosmic Microwave Background observables. Tachyonic preheating leads to the production of gravitational waves which, for a low inflationary scale, might be detected by upcoming experiments. Simple variations of the model can give rise to topological defects, such as unstable domain walls. Their dynamics produces a stochastic gravitational wave background, which can be compatible with the recent detection by pulsar timing arrays.
description: 27 pages, 8 figures. References and clarifications added, including a new Appendix A. Results unchanged. Version matching the one published in PRD
Multi-Fidelity ML Based Approach to Predict Local Material Response
Creators: name: Rai, Ayush
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Aerospace engineering not elsewhere classified
Aerospace structures
Mechanical engineering not elsewhere classified

description: High strain dynamic response of materials is of key importance for material development. An attempt was made to study the local material behavior of PMMA (polymethyl methacrylate) using a flat nail impact. The developed experiment aims to study the local material behavior by measuring the local strain and deformation response, and bulk load response. The material behavior is studied, and the prediction is made about the local material response with machine learning and predictive modeling techniques using training data set from the developed microscale nail impact experiment. PMMA samples were impacted with flat nails at high velocities using an in-house built gas gun. Sensors (force sensitivity resistors) are used to measure the material load response of examined samples. Digital image correlation (DIC) was used with a high-speed camera to record the local surface deformation and strains.
The aim of this work holds to understand the wave propagation in the material and to predict the material behavior of the sample under the point of impact using the sensor data. Experiments and its data processing here were expensive in terms of time and complexity and hence concurrently, a FEM simulation was developed to mimic the experiment. A large amount of FEM data was generated to create the dataset for a low-fidelity model. The experiment (and simulation) parameters and the sensor data (force profile on the back surface of the sample in case of the simulation) are used to build the training data. The model predicts the strain profile (DIC data) of the sample at the point just below the impact. Composite neural-net architecture is implemented to model to multi-fidelity approach and comparisons were made between high-fidelity and multi-fidelity prediction.
Additional file 3 of Prescription opioid dispensing patterns among patients with schizophrenia or bipolar disorder
Creators: name: Roy, Brittany D.
name: Li, Jianheng
name: Lally, Cathy
name: Akerman, Sarah C.
name: Sullivan, Maria A.
name: Fratantonio, James
name: Flanders, William Dana
name: Wenten, Madé
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Marine Biology
subject: Cancer
subject: Science Policy
subject: Mental Health

description: Additional File 3. Demographic and Clinical Characteristics for Patients With Schizophrenia or Bipolar Disorder and Matched Controls: 2017.
2D VOLUMETRIC STRAIN IMAGING THROUGH THZ TIME-DOMAIN SPECTROSCOPY OF STRONTIUM TITANATE FLEXIBLE COMPOSITE ACTING AS REMOTE PASSIVE SENSOR
Creators: name: Buades, Luis M Reig
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Aerospace engineering not elsewhere classified
Aerospace structures
Aerospace materials

description: Strain field imaging can have important applications in the fields of material characterization and structural health monitoring. Terahertz Time-Domain Spectroscopy (THz TDS) is a relatively new technique capable of measuring the amplitude and phase of an electromagnetic pulse (EMP) in the THz band, which is characterized by very low absorbance in most dielectric materials and allows to study small variations in a material’s electromagnetic properties The work studies how applying a composite of Strontium Titanate (STO) particles dispersed in a low dielectric matrix to a structural component, a material that changes its dielectric constant when loaded, and sensing the change in dielectric properties with strain, a new non-destructive and remote sensing method of strain field mapping can be achieved. This method has made possible to correlate strain to changes in the time of arrival (TOA) of the EMP, and then use this correlation to measure the localized strain field around different geometries through previous material-specific calibration, which is reported in this document together with a theoretical modeling of the physics involved in the sensing process.
DiffusionPID: Interpreting Diffusion via Partial Information Decomposition
Creators: name: Zawar, Rushikesh
name: Dewan, Shaurya
name: Saxena, Prakanshul
name: Chang, Yingshan
name: Luo, Andrew
name: Bisk, Yonatan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Text-to-image diffusion models have made significant progress in generating naturalistic images from textual inputs, and demonstrate the capacity to learn and represent complex visual-semantic relationships. While these diffusion models have achieved remarkable success, the underlying mechanisms driving their performance are not yet fully accounted for, with many unanswered questions surrounding what they learn, how they represent visual-semantic relationships, and why they sometimes fail to generalize. Our work presents Diffusion Partial Information Decomposition (DiffusionPID), a novel technique that applies information-theoretic principles to decompose the input text prompt into its elementary components, enabling a detailed examination of how individual tokens and their interactions shape the generated image. We introduce a formal approach to analyze the uniqueness, redundancy, and synergy terms by applying PID to the denoising model at both the image and pixel level. This approach enables us to characterize how individual tokens and their interactions affect the model output. We first present a fine-grained analysis of characteristics utilized by the model to uniquely localize specific concepts, we then apply our approach in bias analysis and show it can recover gender and ethnicity biases. Finally, we use our method to visually characterize word ambiguity and similarity from the model's perspective and illustrate the efficacy of our method for prompt intervention. Our results show that PID is a potent tool for evaluating and diagnosing text-to-image diffusion models.
Additional file 4 of Prescription opioid dispensing patterns among patients with schizophrenia or bipolar disorder
Creators: name: Roy, Brittany D.
name: Li, Jianheng
name: Lally, Cathy
name: Akerman, Sarah C.
name: Sullivan, Maria A.
name: Fratantonio, James
name: Flanders, William Dana
name: Wenten, Madé
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Marine Biology
subject: Cancer
subject: Science Policy
subject: Mental Health

description: Additional File 4. Demographic and Clinical Characteristics for Patients With Schizophrenia or Bipolar Disorder and Matched Controls: 2018.
Additional file 5 of Prescription opioid dispensing patterns among patients with schizophrenia or bipolar disorder
Creators: name: Roy, Brittany D.
name: Li, Jianheng
name: Lally, Cathy
name: Akerman, Sarah C.
name: Sullivan, Maria A.
name: Fratantonio, James
name: Flanders, William Dana
name: Wenten, Madé
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Marine Biology
subject: Cancer
subject: Science Policy
subject: Mental Health

description: Additional File 5. Demographic and Clinical Characteristics for Patients With Schizophrenia or Bipolar Disorder and Matched Controls: 2019.