cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Resonant collisional shielding of reactive molecules using electric fields
Creators: name: Matsuda, Kyle
name: De Marco, Luigi
name: Li, Jun-Ru
name: Tobias, William G.
name: Valtolina, Giacomo
name: Quéméner, Goulven
name: Ye, Jun
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Atomic Physics (physics.atom-ph)
subject: Chemical Physics (physics.chem-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Full control of molecular interactions, including reactive losses, would open new frontiers in quantum science. Here, we demonstrate extreme tunability of chemical reaction rates by using an external electric field to shift excited collision channels of ultracold molecules into degeneracy with the initial collision channel. In this situation, resonant dipolar interactions mix the channels at long range, dramatically altering the intermolecular potential. We prepare fermionic potassium-rubidium (KRb) molecules in their first excited rotational state and observe a three orders-of-magnitude modulation of the chemical reaction rate as we tune the electric field strength by a few percent across resonance. In a quasi-two-dimensional geometry, we accurately determine the contributions from the three lowest angular momentum projections of the collisions. Using the resonant features, we shield the molecules from loss and suppress the reaction rate by up to an order of magnitude below the background value, realizing a long-lived sample of polar molecules in large electric fields.
description: 17+4 pages, 4+1 figures
Motivic action on coherent cohomology of Hilbert modular varieties
Creators: name: Horawa, Aleksander
Publisher: name: arXiv
Year: 2020
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11F67, 11F41

description: We propose an action of a certain motivic cohomology group on the coherent cohomology of Hilbert modular varieties, extending conjectures of Venkatesh, Prasanna, and Harris. The action is described in two ways: on cohomology modulo $p$ and over $\mathbb C$, and we conjecture that they both lift to an action on cohomology with integral coefficients. The conjecture is supported by theoretical evidence based on Stark's conjecture on special values of Artin $L$-functions, and by numerical evidence in base change cases.
description: 64 pages; final accepted version; changed numbering to match journal version
Additional file 1 of Genomic evidence for human-mediated introgressive hybridization and selection in the developed breed
Creators: name: Du, Heng
name: Liu, Zhen
name: Lu, Shi-Yu
name: Jiang, Li
name: Zhou, Lei
name: Liu, Jian-Feng
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Supplementary Material 1
sj-pdf-2-psp-10.1177_01461672221133693 – Supplemental material for Psychometric Evaluation of Single-Item Relationship Satisfaction, Love, Conflict, and Commitment Measures
Creators: name: Niehuis, Sylvia
name: Davis, Karsen
name: Reifman, Alan
name: Callaway, Kenzi
name: Luempert, Ali
name: Rebecca Oldham, C.
name: Head, Jayla
name: Willis-Grossmann, Emma
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-pdf-2-psp-10.1177_01461672221133693 for Psychometric Evaluation of Single-Item Relationship Satisfaction, Love, Conflict, and Commitment Measures by Sylvia Niehuis, Karsen Davis, Alan Reifman, Kenzi Callaway, Ali Luempert, C. Rebecca Oldham, Jayla Head and Emma Willis-Grossmann in Personality and Social Psychology Bulletin
sj-pdf-1-psp-10.1177_01461672221125599 – Supplemental material for A Lower-Class Advantage in Face Memory
Creators: name: Dietze, Pia
name: Olderbak, Sally
name: Hildebrandt, Andrea
name: Kaltwasser, Laura
name: Knowles, Eric D.
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-pdf-1-psp-10.1177_01461672221125599 for A Lower-Class Advantage in Face Memory by Pia Dietze, Sally Olderbak, Andrea Hildebrandt, Laura Kaltwasser and Eric D. Knowles in Personality and Social Psychology Bulletin
Supplemental Material - A natural history of temporary tube feeding care at a children’s hospital: A prospective audit of medical records
Creators: name: Syrmis, Maryanne
name: Frederiksen, Nadine
name: Reilly, Claire
name: Bell, Kristie
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111099 Nursing not elsewhere classified
subject: 111403 Paediatrics
subject: FOS: Clinical medicine

description: Supplemental Material for A natural history of temporary tube feeding care at a children’s hospital: A prospective audit of medical records by Maryanne Syrmis, Nadine Frederiksen, Claire Reilly and Kristie Bell in Journal of Child Health Care
Additional file 2 of Genomic evidence for human-mediated introgressive hybridization and selection in the developed breed
Creators: name: Du, Heng
name: Liu, Zhen
name: Lu, Shi-Yu
name: Jiang, Li
name: Zhou, Lei
name: Liu, Jian-Feng
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Supplementary Material 2
sj-docx-1-spo-10.1177_17479541221136238 - Supplemental material for A systematic review of sport-related packages within the R CRAN repository
Creators: name: Casals, Martí
name: Fernández, José
name: Martínez, Victor
name: Lopez, Michael
name: Langohr, Klaus
name: Cortés, Jordi
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: Sociology
subject: FOS: Sociology

description: Supplemental material, sj-docx-1-spo-10.1177_17479541221136238 for A systematic review of sport-related packages within the R CRAN repository by Martí Casals, José Fernández, Victor Martínez, Michael Lopez, Klaus Langohr and Jordi Cortés in International Journal of Sports Science & Coaching
title: Charter Schools and Human Capital Outcomes
Creators: name: Dobbie, Will
name: Fryer, Roland G.
Publisher: name: The University of Texas at Austin
Year: 2017
Subjects: subject: policy brief
subject: schools

description: We estimate the impact of charter schools on early-life labor market outcomes using administrative data from Texas. We find that, at the mean, charter schools have no impact on test scores and a negative impact on earnings. No Excuses charter schools increase test scores and four-year college enrollment, but have a small and statistically insignificant impact on earnings, while other types of charter schools decrease test scores, four-year college enrollment, and earnings. Moving to school-level estimates, we find that charter schools that decrease test scores also tend to decrease earnings, while charter schools that increase test scores have no discernible impact on earnings. In contrast, high school graduation effects are predictive of earnings effects throughout the distribution of school quality. Texas enacted legislation allowing for the establishment of charter schools in 1995. The Texas charter sector has subsequently grown into one of the largest in the nation. Today, there are more than 600 charter schools in Texas educating approximately 3.5 percent of public school students. In this study, we estimate the impact of charter schools on early-life labor market outcomes using administrative data from the state of Texas. The combination of high-stakes accountability and large and varied charter school sector makes Texas an archetypal laboratory to measure the effect of charter schools on labor market outcomes.
Deep FPF: Gain function approximation in high-dimensional setting
Creators: name: Olmez, S. Yagiz
name: Taghvaei, Amirhossein
name: Mehta, Prashant G.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Optimization and Control (math.OC)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: In this paper, we present a novel approach to approximate the gain function of the feedback particle filter (FPF). The exact gain function is the solution of a Poisson equation involving a probability-weighted Laplacian. The numerical problem is to approximate the exact gain function using only finitely many particles sampled from the probability distribution. Inspired by the recent success of the deep learning methods, we represent the gain function as a gradient of the output of a neural network. Thereupon considering a certain variational formulation of the Poisson equation, an optimization problem is posed for learning the weights of the neural network. A stochastic gradient algorithm is described for this purpose. The proposed approach has two significant properties/advantages: (i) The stochastic optimization algorithm allows one to process, in parallel, only a batch of samples (particles) ensuring good scaling properties with the number of particles; (ii) The remarkable representation power of neural networks means that the algorithm is potentially applicable and useful to solve high-dimensional problems. We numerically establish these two properties and provide extensive comparison to the existing approaches.
description: To be presented at 59th IEEE Conference on Decision and Control, 2020
title: Charter Schools and Labor Market Outcomes
Creators: name: Dobbie, Will
name: Fryer, Roland G.
Publisher: name: The University of Texas at Austin
Year: 2019
Subjects: subject: policy brief
subject: schools

description: We estimate the impact of charter schools on early-life labor market outcomes using administrative data from Texas. We find that, at the mean, charter schools have no impact on test scores and a negative impact on earnings. No Excuses charter schools increase test scores by 0.09 standard deviations and four-year college enrollment by 2.8 percentage points, but, due to imprecision, have a statistically insignificant impact on earnings - though the coefficient is almost identical to what one would expect given the correlation between test scores and wages. Other types of charter schools decrease test scores, four-year college enrollment, and earnings, and, surprisingly, the decrease in wages is more negative than one would anticipate. Texas enacted legislation allowing for the establishment of charter schools in 1995. The Texas charter sector has subsequently grown into one of the largest in the nation. Today, there are more than 600 charter schools in Texas educating approximately 3.5 percent of public school students. In this study, we estimate the impact of charter schools on early-life labor market outcomes using administrative data from the state of Texas. The combination of high-stakes accountability and large and varied charter school sector makes Texas an archetypal laboratory to measure the effect of charter schools on labor market outcomes.
Classification of Grothendieck rings of complex fusion categories of multiplicity one up to rank six
Creators: name: Liu, Zhengwei
name: Palcoux, Sebastien
name: Ren, Yunxiang
Publisher: name: arXiv
Year: 2020
Subjects: subject: Category Theory (math.CT)
subject: Quantum Algebra (math.QA)
subject: FOS: Mathematics
subject: 18M20

description: This paper classifies the Grothendieck rings of complex fusion categories of multiplicity one up to rank six. Among 72 possible fusion rings, $25$ ones are filtered out by using categorification criteria. Each of the remaining 47 fusion rings admits a unitary complex categorification. We found 6 new Grothendieck rings, categorified by applying a localization approach of the Pentagon Equation.
description: 23 pages; published version, containing the latest updates
КОМПЬЮТЕРНАЯ ПРОГРАММА ВЫЯВЛЕНИЯ ТРЕНДА МНОГОПЛОДИЯ СВИНОМАТОК ПО ЗАКОНУ
НОРМАЛЬНОГО РАСПРЕДЕЛЕНИЯ
Creators: name: С.В. Соляник
Publisher: name: Северо-Кавказский федеральный научный аграрный центр
Year: 2018

description: Комплексный анализ первичных зоотехнических документов по продуктивности свиней показал, что для средних значений характерен нормальный закон распределения. Разработана модель позволяющая определить многоплодие свиноматок для конкретного числа животных этой половозрастной группы без (и с учетом) динамики среднего многоплодия по ферме. Использование модели дает возможность моделировать технологические процессы работы свинокомплекса и определять экономическую эффективность его функционирования.
Additional file 2 of Association of birth weight with type 2 diabetes mellitus and the mediating role of fatty acids traits: a two-step mendelian randomization study
Creators: name: Cao, Limin
name: Wen, Yahui
name: Fan, Keyi
name: Wang, Qiwei
name: Zhang, Yaochen
name: Li, Zhenglong
name: Wang, Nan
name: Zhang, Xinhua
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 2
Predicting human decision making in psychological tasks with recurrent neural networks
Creators: name: Lin, Baihan
name: Bouneffouf, Djallel
name: Cecchi, Guillermo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Unlike traditional time series, the action sequences of human decision making usually involve many cognitive processes such as beliefs, desires, intentions, and theory of mind, i.e., what others are thinking. This makes predicting human decision-making challenging to be treated agnostically to the underlying psychological mechanisms. We propose here to use a recurrent neural network architecture based on long short-term memory networks (LSTM) to predict the time series of the actions taken by human subjects engaged in gaming activity, the first application of such methods in this research domain. In this study, we collate the human data from 8 published literature of the Iterated Prisoner's Dilemma comprising 168,386 individual decisions and post-process them into 8,257 behavioral trajectories of 9 actions each for both players. Similarly, we collate 617 trajectories of 95 actions from 10 different published studies of Iowa Gambling Task experiments with healthy human subjects. We train our prediction networks on the behavioral data and demonstrate a clear advantage over the state-of-the-art methods in predicting human decision-making trajectories in both the single-agent scenario of the Iowa Gambling Task and the multi-agent scenario of the Iterated Prisoner's Dilemma. Moreover, we observe that the weights of the LSTM networks modeling the top performers tend to have a wider distribution compared to poor performers, as well as a larger bias, which suggest possible interpretations for the distribution of strategies adopted by each group.
description: To appear in PLOS ONE. Codes at https://github.com/doerlbh/HumanLSTM
A Bayesian Mixture Modelling of Stop Signal Reaction Time Distributions
Creators: name: Soltanifar, Mohsen
name: Escobar, Michael
name: Dupuis, Annie
name: Schachar, Russell
Publisher: name: arXiv
Year: 2020
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: The distribution of single Stop Signal Reaction Times (SSRT) in the stop signal task (SST) as a measurement of the latency of the unobservable stopping process has been modeled with a nonparametric method by Hans Colonius (1990) and with a Bayesian parametric method by Eric-Jan Wagenmakers and colleagues (2012). These methods assume equal impact of the preceding trial type (go/stop) in the SST trials on the SSRT distributional estimation without addressing the case of the violated assumption. This study presents the required model by considering two-state mixture model for the SSRT distribution. It then compares the Bayesian parametric single SSRT and mixture SSRT distributions in the usual stochastic order at the individual and the population level under the ex-Gaussian distributional format. It shows that compared to a single SSRT distribution, the mixture SSRT distribution is more diverse, more positively skewed, more leptokurtic, and larger in stochastic order. The size of the disparities in the results also depends on the choice of weights in the mixture SSRT distribution. This study confirms that mixture SSRT indices as a constant or distribution are significantly larger than their single SSRT counterparts in the related order. This offers a vital improvement in the SSRT estimations.
description: 26 pages, 7 figures
sj-pdf-1-eqs-10.1177_87552930231173445 – Supplemental material for A borehole array data–based approach for conducting 1D site response analyses I: Damping and VS randomization
Creators: name: Pretell, Renmin
name: Abrahamson, Norman A
name: Ziotopoulou, Katerina
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies

description: Supplemental material, sj-pdf-1-eqs-10.1177_87552930231173445 for A borehole array data–based approach for conducting 1D site response analyses I: Damping and VS randomization by Renmin Pretell, Norman A Abrahamson and Katerina Ziotopoulou in Earthquake Spectra
Additional file 3 of Association of birth weight with type 2 diabetes mellitus and the mediating role of fatty acids traits: a two-step mendelian randomization study
Creators: name: Cao, Limin
name: Wen, Yahui
name: Fan, Keyi
name: Wang, Qiwei
name: Zhang, Yaochen
name: Li, Zhenglong
name: Wang, Nan
name: Zhang, Xinhua
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 3
Elastocapillary network model of inhalation
Creators: name: Louf, Jean-François
name: Kratz, Felix
name: Datta, Sujit S.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Fluid Dynamics (physics.flu-dyn)
subject: Medical Physics (physics.med-ph)
subject: FOS: Physical sciences

description: The seemingly simple process of inhalation relies on a complex interplay between muscular contraction in the thorax, elasto-capillary interactions in individual lung branches, propagation of air between different connected branches, and overall air flow into the lungs. These processes occur over considerably different length and time scales; consequently, linking them to the biomechanical properties of the lungs, and quantifying how they together control the spatiotemporal features of inhalation, remains a challenge. We address this challenge by developing a computational model of the lungs as a hierarchical, branched network of connected liquid-lined flexible cylinders coupled to a viscoelastic thoracic cavity. Each branch opens at a rate and a pressure that is determined by input biomechanical parameters, enabling us to test the influence of changes in the mechanical properties of lung tissues and secretions on inhalation dynamics. By summing the dynamics of all the branches, we quantify the evolution of overall lung pressure and volume during inhalation, reproducing the shape of measured breathing curves. Using this model, we demonstrate how changes in lung muscle contraction, mucus viscosity and surface tension, and airway wall stiffness---characteristic of many respiratory diseases, including those arising from COVID-19, cystic fibrosis, chronic obstructive pulmonary disease, asthma, and emphysema---drastically alter inhaled lung capacity and breathing duration. Our work therefore helps to identify the key factors that control breathing dynamics, and provides a way to quantify how disease-induced changes in these factors lead to respiratory distress.
description: In press
Elastic turbulence generates anomalous flow resistance in porous media
Creators: name: Browne, Christopher A.
name: Datta, Sujit S.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: Diverse processes rely on the viscous flow of polymer solutions through porous media. In many cases, the macroscopic flow resistance abruptly increases above a threshold flow rate in a porous medium---but not in bulk solution. The reason why has been a puzzle for over half a century. Here, by directly visualizing the flow in a transparent 3D porous medium, we demonstrate that this anomalous increase is due to the onset of an elastic instability. We establish that the energy dissipated by the unstable flow fluctuations, which vary across pores, generates the anomalous increase in flow resistance through the entire medium. Thus, by linking the pore-scale onset of unstable flow to macroscopic transport, our work provides generally-applicable guidelines for predicting and controlling polymer solution flows.
HEDRA: A Bio-Inspired Modular Tensegrity Soft Robot With Polyhedral Parallel Modules
Creators: name: Ramadoss, Vishal
name: Sagar, Keerthi
name: Ikbal, Mohamed Sadiq
name: Calles, Jesus Hiram Lugo
name: Zoppi, Matteo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: There is a surge of research interest in the field of tensegrity robotics. Robots developed under this paradigm provide many advantages and have distinguishing features in terms of structural compliance, dexterity, safety, and weight reduction. This paper proposes a new robotic mechanism based on tensegrity ('tension-integrity') robots and reconfigurable modular robots. The specific actuation schemes for this tensegrity robot with multiple degrees of freedom are presented. This article describes an easy-to-assemble 350 mm tensegrity based robot prototype by stacking a series of rigid struts linked with tensegrity joints that have no direct rigid contact with each other. The functionality of the proposed robot is validated by the experimental results by integrating the polyhedral parallel structure as its skeleton and series of tensegrity joints. The proposed manipulator is capable of reaching bending angles up to 76 degrees. An adaptive cable driven underactuated robotic gripper is designed and attached to the tensegrity manipulator for grasping objects in different shapes, weights, and sizes.
description: 7 pages, 11 figures, associated video at https://www.youtube.com/watch?v=ATRcSsBxOT0&feature=youtu.be&ab_channel=PMARrobotics . Manuscript submitted to 2021 IEEE International Conference on Robotics and Automation (ICRA)
sj-pdf-1-trd-10.1177_26330040231178321 – Supplemental material for Bulbar conjunctival plexiform schwannoma in a 5-year-old patient; expect the unexpected!
Creators: name: Kenani, Mona
name: Babgi, Rafaa
name: Bakri, Sultan
Publisher: name: SAGE Journals
Year: 2023
Subjects: Medicine

description: Supplemental material, sj-pdf-1-trd-10.1177_26330040231178321 for Bulbar conjunctival plexiform schwannoma in a 5-year-old patient; expect the unexpected! by Mona Kenani, Rafaa Babgi and Sultan Bakri in Therapeutic Advances in Rare Disease
КОМПЬЮТЕРНАЯ ПРОГРАММА ВЫЯВЛЕНИЯ ТРЕНДА ЖИВОЙ МАССЫ МОЛОДНЯКА СВИНЕЙ ПО ЗАКОНУ НОРМАЛЬНОГО РАСПРЕДЕЛЕНИЯ
Creators: name: С.В. Соляник
Publisher: name: Северо-Кавказский федеральный научный аграрный центр
Year: 2018

description: Разработаны модели позволяющие определить численное значение животных конкретной живой массы по средней величине выборки; динамику прироста живой массы при среднесуточных привесах 750…950 г за период откорма; вес поросят при отъеме в зависимости от возраста. Использование спроектированных моделей дает возможность осуществлять моделирование технологических процессов на выращивании и откорме молодняка свиней и тем самым определять экономическую эффективность функционирования свинокомплекса.
Long-time behavior of solutions to the generalized Allen-Cahn model with degenerate diffusivity
Creators: name: Folino, Raffaele
name: Ríos, Luis F. López
name: Plaza, Ramón G.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: The generalized Allen-Cahn equation, \[ u_t=\varepsilon^2(D(u)u_x)_x-\frac{\varepsilon^2}2D'(u)u_x^2-F'(u), \] with nonlinear diffusion, $D = D(u)$, and potential, $F = F(u)$, of the form \[ D(u) = |1-u^2|^{m}, \quad \text{or} \quad D(u) = |1-u|^{m}, \quad m >1, \] and \[ F(u)=\frac{1}{2n}|1-u^2|^{n}, \qquad n\geq2, \] respectively, is studied. These choices correspond to a reaction function that can be derived from a double well potential, and to a generalized degenerate diffusivity coefficient depending on the density $u$ that vanishes at one or at the two wells, $u = \pm 1$. It is shown that interface layer solutions that are equal to $\pm 1$ except at a finite number of thin transitions of width $\varepsilon$ persist for an either exponentially or algebraically long time, depending upon the interplay between the exponents $n$ and $m$. For that purpose, energy bounds for a renormalized effective energy potential of Ginzburg-Landau type are derived.
description: 33 pages, 2 figures
A Wavefunction Description for a Localized Quantum Particle in Curved Spacetimes
Creators: name: Perche, T. Rick
name: Neuser, Jonas
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We reduce Dirac's spinor formalism for a spin 1/2 particle to a complex wavefunction description in curved spacetimes. We consider a localized fermionic particle in curved spacetimes and perform an expansion in terms of the acceleration and curvature around the center of mass of the system, generalizing the results of [Phys. Rev. D 22, 1922]. Under a non-relativistic approximation, one obtains a quantum description in a Hilbert space of complex wavefunctions defined in the rest space of the system. The wavefunction of the particle then evolves according to a modified Schrödinger equation associated with a symmetric Hamiltonian. When compared to the standard Schrödinger equation for a wavefunction, we obtain corrections in terms of the acceleration of the system's center of mass and curvature of spacetime along its trajectory. In summary, we provide a formalism for the use of a complex wavefunction to describe a localized quantum particle in curved spacetimes.
description: 26 pages, 1 figure. RevTeX 4.1. V4. Added a more detailed explanation in Appendix C and fixed minor typos
sj-docx-1-hci-10.1177_15404153231181110 - Supplemental material for Poverty and Suicidal Ideation Among Hispanic Mental Health Care Patients Leading up to the COVID-19 Pandemic
Creators: name: Goldstein, Evan V.
name: Bailey, Elise V.
name: Wilson, Fernando A.
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 111099 Nursing not elsewhere classified
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified

description: Supplemental material, sj-docx-1-hci-10.1177_15404153231181110 for Poverty and Suicidal Ideation Among Hispanic Mental Health Care Patients Leading up to the COVID-19 Pandemic by Evan V. Goldstein, Elise V. Bailey and Fernando A. Wilson in Hispanic Health Care International
Additional file 4 of Association of birth weight with type 2 diabetes mellitus and the mediating role of fatty acids traits: a two-step mendelian randomization study
Creators: name: Cao, Limin
name: Wen, Yahui
name: Fan, Keyi
name: Wang, Qiwei
name: Zhang, Yaochen
name: Li, Zhenglong
name: Wang, Nan
name: Zhang, Xinhua
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 4
sj-docx-1-cjk-10.1177_20543581231169608 – Supplemental material for Variation in Kidney Transplant Referral Across Chronic Kidney Disease Programs in Ontario, Canada
Creators: name: Yohanna, Seychelle
name: Naylor, Kyla L.
name: Luo, Bin
name: Dixon, Stephanie N.
name: Bota, Sarah E.
name: Kim, S. Joseph
name: Blake, Peter G.
name: Elliott, Lori
name: Cooper, Rebecca
name: Knoll, Gregory A.
name: Treleaven, Darin
name: Wang, Carol
name: Garg, Amit X.
Publisher: name: SAGE Journals
Year: 2023
Subjects: Medicine

description: Supplemental material, sj-docx-1-cjk-10.1177_20543581231169608 for Variation in Kidney Transplant Referral Across Chronic Kidney Disease Programs in Ontario, Canada by Seychelle Yohanna, Kyla L. Naylor, Bin Luo, Stephanie N. Dixon, Sarah E. Bota, S. Joseph Kim, Peter G. Blake, Lori Elliott, Rebecca Cooper, Gregory A. Knoll, Darin Treleaven, Carol Wang and Amit X. Garg in Canadian Journal of Kidney Health and Disease
Using colloidal deposition to mobilize immiscible fluids from porous media
Creators: name: Schneider, Joanna
name: Priestley, Rodney D.
name: Datta, Sujit S.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Colloidal particles hold promise for mobilizing and removing trapped immiscible fluids from porous media, with implications for key energy and water applications. Most studies focus on accomplishing this goal using particles that can localize at the immiscible fluid interface. Therefore, researchers typically seek to optimize the surface activity of particles, as well as their ability to freely move through a pore space with minimal deposition onto the surrounding solid matrix. Here, we demonstrate that deposition can, surprisingly, promote mobilization of a trapped fluid from a porous medium without requiring any surface activity. Using confocal microscopy, we directly visualize both colloidal particles and trapped immiscible fluid within a transparent, three-dimensional (3D) porous medium. We find that as non-surface active particles deposit on the solid matrix, increasing amounts of trapped fluid become mobilized. We unravel the underlying physics by analyzing the extent of deposition, as well as the geometry of trapped fluid droplets, at the pore scale: deposition increases the viscous stresses on trapped droplets, overcoming the influence of capillarity that keeps them trapped. Given an initial distribution of trapped fluid, this analysis enables us to predict the extent of fluid mobilized through colloidal deposition. Taken together, our work reveals a new way by which colloids can be harnessed to mobilize trapped fluid from a porous medium.
Probing Ultralight Bosons with Binary Black Holes
Creators: name: Baumann, Daniel
name: Chia, Horng Sheng
name: Porto, Rafael
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2018
Subjects: black hole: binary
resonance: transition
finite size: effect
energy: density
gravitational radiation: emission
time dependence
atomic physics
superradiance
oscillation
new physics
signature
stability
spin
boson: mass
dark matter

description: We study the gravitational-wave (GW) signatures of clouds of ultralight bosons around black holes (BHs) in binary inspirals. These clouds, which are formed via superradiance instabilities for rapidly rotating BHs, produce distinct effects in the population of BH masses and spins, and a continuous monochromatic GW signal. We show that the presence of a binary companion greatly enriches the dynamical evolution of the system, most remarkably through the existence of resonant transitions between the growing and decaying modes of the cloud (analogous to Rabi oscillations in atomic physics). These resonances have rich phenomenological implications for current and future GW detectors. Notably, the amplitude of the GW signal from the clouds may be reduced, and in many cases terminated, much before the binary merger. The presence of a boson cloud can also be revealed in the GW signal from the binary through the imprint of finite-size effects, such as spin-induced multipole moments and tidal Love numbers. The time dependence of the cloud's energy density during the resonance leads to a sharp feature, or at least attenuation, in the contribution from the finite-size terms to the waveforms. The observation of these effects would constrain the properties of putative ultralight bosons through precision GW data, offering new probes of physics beyond the Standard Model.
Biocultural Conservation in the Amazon: A theory of change and how academia can contribute
Creators: name: Buschbacher, Robert
name: Chavez, Andrea
name: Fonseca, Sinomar
Publisher: name: Zenodo
Year: 2024
Subjects: Biocultural Conservation
TCD
Amazon

description: Poster synthesizing the work of the Biocultural Conservation Working Group at the University of Florida's Tropical Conservation and Development Program, including project concept co-constructed with Indigenous partners, theory of change, how academia can contribute, and opportunity for large-scale impact in the Amazon.  
description: This records includes: Poster in English (PDF and PPT), Poster in Portuguese (PDF and PPT).
sj-doc-1-pcr-10.1177_26323524231179979 – Supplemental material for Integrated Short-term Palliative Rehabilitation to improve quality of life and equitable care access in incurable cancer (INSPIRE): a multinational European research project
Creators: name: Bayly, Joanne
name: Ahmedzai, Hilde Hjelmeland
name: Blandini, Maria Grazia
name: Bressi, Barbara
name: Caraceni, Augusto Tommaso
name: Carvalho Vasconcelos, Joana
name: Costi, Stefania
name: Fugazzaro, Stefania
name: Guberti, Monica
name: Guldin, Mai-Britt
name: Hauken, May
name: Higginson, Irene
name: Laird, Barry J.A.
name: Ling, Julie
name: Normand, Charles
name: Nottelmann, Lise
name: Oldervoll, Line
name: Payne, Cathy
name: Prevost, A. Toby
name: Stene, Guro B.
name: Vanzulli, Elisa
name: Veber, Eduardo
name: Economos, Guillaume
name: Maddocks, Matthew
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 111702 Aged Health Care
subject: FOS: Health sciences

description: Supplemental material, sj-doc-1-pcr-10.1177_26323524231179979 for Integrated Short-term Palliative Rehabilitation to improve quality of life and equitable care access in incurable cancer (INSPIRE): a multinational European research project by Joanne Bayly, Hilde Hjelmeland Ahmedzai, Maria Grazia Blandini, Barbara Bressi, Augusto Tommaso Caraceni, Joana Carvalho Vasconcelos, Stefania Costi, Stefania Fugazzaro, Monica Guberti, Mai-Britt Guldin, May Hauken, Irene Higginson, Barry J.A. Laird, Julie Ling, Charles Normand, Lise Nottelmann, Line Oldervoll, Cathy Payne, A. Toby Prevost, Guro B. Stene, Elisa Vanzulli, Eduardo Veber, Guillaume Economos and Matthew Maddocks in Palliative Care and Social Practice
sj-docx-3-orm-10.1177_10944281231175904 - Supplemental material for Demographic Inference in the Digital Age: Using Neural Networks to Assess Gender and Ethnicity at Scale
Creators: name: Chekili, Amal
name: Hernandez, Ivan
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, sj-docx-3-orm-10.1177_10944281231175904 for Demographic Inference in the Digital Age: Using Neural Networks to Assess Gender and Ethnicity at Scale by Amal Chekili and Ivan Hernandez in Organizational Research Methods
Large- and small-amplitude shock wave oscillations over axisymmetric bodies in high-speed flow
Creators: name: Sasidharan, Vaisakh
name: Duvvuri, Subrahmanyam
Publisher: name: arXiv
Year: 2020
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: The phenomena of self-sustained shock wave oscillations over conical bodies with a blunt axisymmetric base subject to uniform high-speed flow are investigated in a hypersonic wind tunnel at Mach number $M = 6$. The flow and shock wave dynamics are dictated by two non-dimensional geometric parameters presented by the three length scales of the body, two of which are associated with the conical forebody and one with the base. Time-resolved schlieren imagery from these experiments reveals the presence of two disparate states of shock wave oscillations in the flow, and allows for the mapping of unsteadiness boundaries in the two-parameter space. Physical mechanisms are proposed to explain the oscillations and the transitions of the shock wave system from steady to oscillatory states. In comparison to the canonical single-parameter problem of shock wave oscillations over spiked-blunt bodies reported in literature, the two-parameter nature of the present problem introduces distinct elements to the flow dynamics.
description: 10 pages, 5 figures, 1 supplementary video
Additional file 5 of Association of birth weight with type 2 diabetes mellitus and the mediating role of fatty acids traits: a two-step mendelian randomization study
Creators: name: Cao, Limin
name: Wen, Yahui
name: Fan, Keyi
name: Wang, Qiwei
name: Zhang, Yaochen
name: Li, Zhenglong
name: Wang, Nan
name: Zhang, Xinhua
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 5
Complexity of zigzag sampling algorithm for strongly log-concave distributions
Creators: name: Lu, Jianfeng
name: Wang, Lihan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: Numerical Analysis (math.NA)
subject: Computation (stat.CO)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: We study the computational complexity of zigzag sampling algorithm for strongly log-concave distributions. The zigzag process has the advantage of not requiring time discretization for implementation, and that each proposed bouncing event requires only one evaluation of partial derivative of the potential, while its convergence rate is dimension independent. Using these properties, we prove that the zigzag sampling algorithm achieves $\varepsilon$ error in chi-square divergence with a computational cost equivalent to $O\bigl(κ^2 d^\frac{1}{2}(\log\frac{1}{\varepsilon})^{\frac{3}{2}}\bigr)$ gradient evaluations in the regime $κ\ll \frac{d}{\log d}$ under a warm start assumption, where $κ$ is the condition number and $d$ is the dimension.
description: We added a new discussion that the warmness assumption of our main theorem can be achieved using LMC
sj-docx-1-ltr-10.1177_13621688231176331 – Supplemental material for The effects of task-induced involvement load and gloss languages on incidental L2 vocabulary learning
Creators: name: Phadungsilp, Parichard
name: Supasiraprapa, Sarut
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: Education
subject: 200399 Language Studies not elsewhere classified
subject: FOS: Languages and literature

description: Supplemental material, sj-docx-1-ltr-10.1177_13621688231176331 for The effects of task-induced involvement load and gloss languages on incidental L2 vocabulary learning by Parichard Phadungsilp and Sarut Supasiraprapa in Language Teaching Research
Asymptotic rigidity for shells in non-Euclidean elasticity
Creators: name: Alpern, Itai
name: Kupferman, Raz
name: Maor, Cy
Publisher: name: arXiv
Year: 2020
Subjects: subject: Differential Geometry (math.DG)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 74K20, 74K25, 53C24, 74B20

description: We consider a prototypical "stretching plus bending" functional of an elastic shell. The shell is modeled as a d-dimensional Riemannian manifold endowed, in addition to the metric, with a reference second fundamental form. The shell is immersed into a (d+1)-dimensional ambient space, and the elastic energy accounts for deviations of the induced metric and second fundamental forms from their reference values. Under the assumption that the ambient space is of constant sectional curvature, we prove that any sequence of immersions of asymptotically vanishing energy converges to an isometric immersion of the shell into ambient space, having the reference second fundamental form. In particular, if the ambient space is Euclidean space, then the reference metric and second fundamental form satisfy the Gauss-Codazzi-Mainardi compatibility conditions. This theorem can be viewed as a (manifold-valued) co-dimension 1 analog of Reshetnyak's asymptotic rigidity theorem. It also relates to recent results on the continuity of surfaces with respect to their fundamental forms.
description: Version 2: minor changes
A Recurrent Neural Network Architecture for Biomedical Event Trigger Classification
Creators: name: Bopaiah, Jeevith
Publisher: name: University of Kentucky Libraries
Year: 2018

description: Abstract:
A “biomedical event” is a broad term used to describe the roles and interactions between entities (such as proteins, genes and cells) in a biological system. The task of biomedical event extraction aims at identifying and extracting these events from unstructured texts. An important component in the early stage of the task is biomedical trigger classification which involves identifying and classifying words/phrases that indicate an event. In this thesis, we present our work on biomedical trigger classification developed using the multi-level event extraction dataset. We restrict the scope of our classification to 19 biomedical event types grouped under four broad categories - Anatomical, Molecular, General and Planned. While most of the existing approaches are based on traditional machine learning algorithms which require extensive feature engineering, our model relies on neural networks to implicitly learn important features directly from the text. We use natural language processing techniques to transform the text into vectorized inputs that can be used in a neural network architecture. As per our knowledge, this is the first time neural attention strategies are being explored in the area of biomedical trigger classification. Our best results were obtained from an ensemble of 50 models which produced a micro F-score of 79.82%, an improvement of 1.3% over the previous best score.
Jeevith Bopaiah's ORCID ID: https://orcid.org/0000-0001-8046-6289
Copyright: © Jeevith Bopaiah 2018
Stability and Boundedness of Solutions to Some Non-autonomous Multidimensional Nonlinear Systems
Creators: name: Pinsky, Mark A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: 34D20

description: Assessment of the degree of boundedness/stability of multidimensional nonlinear systems with time-dependent and nonperiodic coefficients is an important problem in various applied areas which has no adequate resolution yet. Most of the known techniques provide computationally intensive and conservative stability criteria in this field and frequently fail to estimate the regions of boundedness/stability of solutions to the corresponding systems. Recently, we outlined a new approach to this problem which is based on the analysis of solutions to a scalar auxiliary equation bounded from the above time histories of the norms of solutions to the original system. This paper develops a novel technique casting the auxiliary equation in a modified form which extends the application domain and reduces the computational hamper of our prior approach. Consequently, we developed more general boundedness/stability criteria and estimated trapping/stability regions for some multidimensional nonlinear systems with nonperiodic time-dependent coefficients that are common in various application domains. This let us to assess in target simulations the extent of boundedness/stability of some multidimensional, nonlinear and time-varying systems which were intractable with our prior technique.
description: 29 pages. The new version of this paper adds a motivation example, see section 1.2, and significantly updates section 3. Other minor additions have been made throughout. A typo in the previous version of this paper was corrected. This paper is accepted for publication in J. Mathematical Problems in Engineering, 2022
sj-docx-1-jad-10.1177_10870547231218449 – Supplemental material for Measuring Quality Care for Adult ADHD Patients: How Much Does Gender and Gender Identity Matter?
Creators: name: Clay, Tarin
name: Callen, Elisabeth F.
name: Alai, Jill
name: Goodman, David W.
name: Adler, Lenard A.
name: Faraone, Stephen V.
Publisher: name: SAGE Journals
Year: 2023
Subjects: Education
Psychology not elsewhere classified

description: Supplemental material, sj-docx-1-jad-10.1177_10870547231218449 for Measuring Quality Care for Adult ADHD Patients: How Much Does Gender and Gender Identity Matter? by Tarin Clay, Elisabeth F. Callen, Jill Alai, David W. Goodman, Lenard A. Adler and Stephen V. Faraone in Journal of Attention Disorders
Probiotic properties of Lactobacillus pentosus GP6 isolated from fermented ground po
Creators: name: Nattakan Dangmanee
Publisher: name: Rangsit University
Year: 2018
Subjects: fermented ground pork
gastrointestinal pathogens
GP6
Lactobacillus pentosus
potential probiotic

description: JOURNAL OF CURRENT SCIENCE AND TECHNOLOGY, 8, 1, 41-49
sj-docx-1-jad-10.1177_10870547231217321 – Supplemental material for Single Exercise for Core Symptoms and Executive Functions in ADHD: A Systematic Review and Meta-Analysis
Creators: name: Chen, Ji-Wei
name: Zhu, Kun
Publisher: name: SAGE Journals
Year: 2023
Subjects: Education
Psychology not elsewhere classified

description: Supplemental material, sj-docx-1-jad-10.1177_10870547231217321 for Single Exercise for Core Symptoms and Executive Functions in ADHD: A Systematic Review and Meta-Analysis by Ji-Wei Chen and Kun Zhu in Journal of Attention Disorders
Regeneration of Co3O4CeO2 catalyst used for odor elimination in an offset-printing    factory
Creators: name: Somekawa, Shoichi
Publisher: name: Rangsit University
Year: 2018
Subjects: Co3O4-CeO2 catalyst
offset printing factory
Pt/Al2O3 catalyst
odor elimination
recovery of catalyst activity
sulfur

description: JOURNAL OF CURRENT SCIENCE AND TECHNOLOGY, 8, 1, 51-55
ОБЗОР ИНСТРУМЕНТАЛЬНЫХ СРЕДСТВ  ИМИТАЦИОННОГО МОДЕЛИРОВАНИЯ В ПРОЦЕССЕ УПРАВЛЕНИЯ ЭКОНОМИЧЕСКИМИ ОБЪЕКТАМИ
Creators: name: Ю.О. Шевцова
Publisher: name: Северо-Кавказский федеральный научный аграрный центр
Year: 2018

description: Имитационное моделирование представляет собой мощный и крайне перспективный инструмент конструирования сложных экономических процессов. С помощью средств имитационного моделирования возможно решить многие типовые задачи, возникающие в процессе управления экономическими объектами. На сегодняшний день существует множество систем имитационного моделирования. Среди них наибольшее распространение получили GPSS World и Micro Saint, разработанные в США, а также пакет Pil-grim, созданный в РФ.
ResearchBox 4135, 'WAA Greenhouse Spray Test, 2022', https://researchbox.org/4135
Creators: name: Robert Orpet
Publisher: name: Zenodo
Year: 2025

description: Box title: 'WAA Greenhouse Spray Test, 2022'   Reference: RJ Orpet ; MW Sayles ; LB Nottingham, 'GREENHOUSE SCREENING OF ADJUVANTS AND ORGANIC MATERIALS ON WOOLLY APPLE APHID, 2022', Arthropod Management TestsNote: this backup was created automatically by a ResearchBox bot