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1. Physics-Aware Combinatorial Assembly Planning using Deep Reinforcement Learning

Author

Liu, Ruixuan, Chen, Alan, Zhao, Weiye, and Liu, Changliu

Subjects
Computer Science - Robotics, Computer Science - Machine Learning
Abstract

Combinatorial assembly uses standardized unit primitives to build objects that satisfy user specifications. Lego is a widely used platform for combinatorial assembly, in which people use unit primitives (ie Lego bricks) to build highly customizable 3D objects. This paper studies sequence planning for physical combinatorial assembly using Lego. Given the shape of the desired object, we want to find a sequence of actions for placing Lego bricks to build the target object. In particular, we aim to ensure the planned assembly sequence is physically executable. However, assembly sequence planning (ASP) for combinatorial assembly is particularly challenging due to its combinatorial nature, ie the vast number of possible combinations and complex constraints. To address the challenges, we employ deep reinforcement learning to learn a construction policy for placing unit primitives sequentially to build the desired object. Specifically, we design an online physics-aware action mask that efficiently filters out invalid actions and guides policy learning. In the end, we demonstrate that the proposed method successfully plans physically valid assembly sequences for constructing different Lego structures. The generated construction plan can be executed in real.

Published
2024

2. Striped electronic phases in an incommensurately modulated van der Waals superlattice

Author

Devarakonda, Aravind, Chen, Alan, Fang, Shiang, Graf, David, Kriener, Markus, Akey, Austin J., Bell, David C., Suzuki, Takehito, and Checkelsky, Joseph G.

Subjects
Condensed Matter - Materials Science, Condensed Matter - Superconductivity
Abstract

Electronic properties of crystals can be manipulated using spatially periodic modulations. Long-wavelength, incommensurate modulations are of particular interest, exemplified recently by moir\'e patterned van der Waals (vdW) heterostructures. Bulk vdW superlattices hosting interfaces between clean 2D layers represent scalable bulk analogs of vdW heterostructures and present a complementary venue to explore incommensurately modulated 2D states. Here we report the bulk vdW superlattice SrTa$_2$S$_5$ realizing an incommensurate 1D modulation of 2D transition metal dichalcogenide (TMD) $H$-TaS$_2$ layers. High-quality electronic transport in the $H$-TaS$_2$ layers, evidenced by quantum oscillations, is made anisotropic by the modulation and shows commensurability oscillations akin to lithographically modulated 2D systems. We also find unconventional, clean-limit superconductivity (SC) in SrTa$_2$S$_5$ with a pronounced suppression of interlayer coherence relative to intralayer coherence. Such a hierarchy can arise from pair-density wave (PDW) SC with mismatched spatial arrangement in adjacent superconducting layers. Examining the in-plane magnetic field $H_{ab}$ dependence of interlayer critical current density $J_c$, we find anisotropy with respect to $H_{ab}$ orientation: $J_c$ is maximized (minimized) when $H_{ab}$ is perpendicular (parallel) to the stripes, consistent with 1D PDW SC. From diffraction we find the structural modulation is shifted between adjacent $H$-TaS$_2$ layers, suggesting mismatched 1D PDW is seeded by the striped structure. With a high-mobility Fermi liquid in a coherently modulated structure, SrTa$_2$S$_5$ is a promising host for novel phenomena anticipated in clean, striped metals and superconductors. More broadly, SrTa$_2$S$_5$ establishes bulk vdW superlattices as macroscopic platforms to address long-standing predictions for modulated electronic phases., Comment: 19 pages, 4 figures

Published
2024
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3. Simulation-aided Learning from Demonstration for Robotic LEGO Construction

Author

Liu, Ruixuan, Chen, Alan, Luo, Xusheng, and Liu, Changliu

Subjects
Computer Science - Robotics
Abstract

Recent advancements in manufacturing have a growing demand for fast, automatic prototyping (i.e. assembly and disassembly) capabilities to meet users' needs. This paper studies automatic rapid LEGO prototyping, which is devoted to constructing target LEGO objects that satisfy individual customization needs and allow users to freely construct their novel designs. A construction plan is needed in order to automatically construct the user-specified LEGO design. However, a freely designed LEGO object might not have an existing construction plan, and generating such a LEGO construction plan requires a non-trivial effort since it requires accounting for numerous constraints (e.g. object shape, colors, stability, etc.). In addition, programming the prototyping skill for the robot requires the users to have expert programming skills, which makes the task beyond the reach of the general public. To address the challenges, this paper presents a simulation-aided learning from demonstration (SaLfD) framework for easily deploying LEGO prototyping capability to robots. In particular, the user demonstrates constructing the customized novel LEGO object. The robot extracts the task information by observing the human operation and generates the construction plan. A simulation is developed to verify the correctness of the learned construction plan and the resulting LEGO prototype. The proposed system is deployed to a FANUC LR-mate 200id/7L robot. Experiments demonstrate that the proposed SaLfD framework can effectively correct and learn the prototyping (i.e. assembly and disassembly) tasks from human demonstrations. And the learned prototyping tasks are realized by the FANUC robot.

Published
2023

4. Complex 3-Dimensional Microscale Structures for Quantum Sensing Applications

Author

Blankenship, Brian W., Jones, Zachary, Zhao, Naichen, Singh, Harpreet, Sarkar, Adrisha, Li, Runxuan, Suh, Erin, Chen, Alan, Grigoropoulos, Costas, and Ajoy, Ashok

Subjects
Quantum Physics, Physics - Applied Physics
Abstract

We present a novel method for fabricating highly customizable three-dimensional structures hosting quantum sensors based on Nitrogen Vacancy (NV) centers using two-photon polymerization. This approach overcomes challenges associated with structuring traditional single-crystal quantum sensing platforms and enables the creation of complex, fully three-dimensional, sensor assemblies with sub-microscale resolutions (down to 400 nm) and large fields of view (>1 mm). By embedding NV center-containing nanoparticles in exemplary structures, we demonstrate high sensitivity optical sensing of temperature and magnetic fields at the microscale. Our work showcases the potential for integrating quantum sensors with advanced manufacturing techniques, facilitating the incorporation of sensors into existing microfluidic and electronic platforms, and opening new avenues for widespread utilization of quantum sensors in various applications.

Published
2023
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5. Complex Three-Dimensional Microscale Structures for Quantum Sensing Applications

Author

Blankenship, Brian W, Jones, Zachary, Zhao, Naichen, Singh, Harpreet, Sarkar, Adrisha, Li, Runxuan, Suh, Erin, Chen, Alan, Grigoropoulos, Costas P, and Ajoy, Ashok

Subjects
Quantum Physics, Engineering, Electronics, Sensors and Digital Hardware, Physical Sciences, Bioengineering, Quantum Sensing, 2-Photon Polymerization, ODMR, NV Center, Nanodiamond, Nanoscience & Nanotechnology
Abstract

We present a novel method for fabricating highly customizable three-dimensional structures hosting quantum sensors based on nitrogen vacancy (NV) centers using two-photon polymerization. This approach overcomes challenges associated with structuring traditional single-crystal quantum sensing platforms and enables the creation of complex, fully three-dimensional, sensor assemblies with submicroscale resolutions (down to 400 nm) and large fields of view (>1 mm). By embedding NV center-containing nanoparticles in exemplary structures, we demonstrate high sensitivity optical sensing of temperature and magnetic fields at the microscale. Our work showcases the potential for integrating quantum sensors with advanced manufacturing techniques, facilitating the incorporation of sensors into existing microfluidic and electronic platforms, and opening new avenues for widespread utilization of quantum sensors in various applications.

Published
2023

6. Bootstrapping the String KLT Kernel

Author

Chen, Alan Shih-Kuan, Elvang, Henriette, and Herderschee, Aidan

Subjects
High Energy Physics - Theory, General Relativity and Quantum Cosmology
Abstract

We show that a generalized version of the 4-point string theory KLT double-copy map is the most general solution to the minimal-rank double-copy bootstrap in effective field theory. This follows from significant restrictions of the 4-point map resulting from the 6-point bootstrap analysis. The generalized 4-point double-copy map is defined by a function with only two parameters times a simple function that is symmetric in $s,t,u$. The two parameters can be interpreted as independent choices of $\alpha'$, one for each of the two sets of amplitudes double-copied with the map. Specifically, each of those two sets of amplitudes must obey either the string monodromy relations or the field theory KK & BCJ relations; there are no other options. We propose a closed form of the new double-copy map that interpolates between the original KLT string double-copy and the open & closed string period integrals. The construction clarifies the "single-valued projection" property of the Riemann zeta-function values for the 4-point string theory double copy., Comment: 8 pages, LCTP-23-01

Published
2023

7. Emergence of String Monodromy in Effective Field Theory

Author

Chen, Alan Shih-Kuan, Elvang, Henriette, and Herderschee, Aidan

Subjects
High Energy Physics - Theory
Abstract

String monodromy is a set of linear relations among open string tree amplitudes with different orderings of the vertex operators. In this Letter, we show how these intrinsically stringy relations emerge in low-energy effective field theory from the assumptions of locality and the field theory Kleiss-Kuijf (KK) and Bern-Carrasco-Johansson (BCJ) relations. Specifically, we study the bi-adjoint scalar model effective field theory (BAS EFT). We impose the field theory KK and BCJ relations on one of the two color-orderings of the BAS EFT amplitudes and show that the second color-ordering has an emergent set of linear relations that, as checked at 4-point to 36-derivative order, are exactly the monodromy relations. The 4-point results depend on a delicate interplay between consistent factorization of 6-point BAS EFT amplitudes and the 6-point KK BCJ conditions. As a consequence of the analysis, the 4-point Z-theory tree amplitudes are bootstrapped up to a symmetric function in $s,t,u$ whose simple exponentiated form has free parameters that capture all the odd zeta values when matched to Z-theory., Comment: 5 pages, 1 figure

Published
2022

9. Three-dimensional flat bands in pyrochlore metal CaNi2

Author

Wakefield, Joshua P., Kang, Mingu, Neves, Paul M., Oh, Dongjin, Fang, Shiang, McTigue, Ryan, Frank Zhao, S. Y., Lamichhane, Tej N., Chen, Alan, Lee, Seongyong, Park, Sudong, Park, Jae-Hoon, Jozwiak, Chris, Bostwick, Aaron, Rotenberg, Eli, Rajapitamahuni, Anil, Vescovo, Elio, McChesney, Jessica L., Graf, David, Palmstrom, Johanna C., Suzuki, Takehito, Li, Mingda, Comin, Riccardo, and Checkelsky, Joseph G.

Published
2023
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10. The impacts of the 340B Program on health care quality for low-income patients

Author

Smith, Kyle, Padmanabhan, Prianca, Chen, Alan, Glied, Sherry, and Desai, Sunita

Subjects
Medical care, Cost of -- Health aspects -- Research, Medicaid -- Research -- Health aspects, Drugstores -- Health aspects -- Research, Pharmacy -- Research -- Health aspects, Medical care -- Quality management, Medically uninsured persons -- Health aspects -- Research, Hospital patients -- Health aspects -- Research, Business, Health care industry
Abstract

Objective: To assess the effects of hospital 340B eligibility on quality of inpatient care provided to Medicaid and uninsured patients and for all patients. Data: Agency for Health Care Research and Quality's Healthcare Cost and Utilization Project State Inpatient Data, Hospital Cost Reporting Information System Data, Office of Pharmacy Affairs Information System Data, and American Hospital Association Annual Survey. Design: Regression discontinuity design comparing hospitals just above the DSH percentage program eligibility threshold to those just below. Quality measures include all-cause mortality and 30-day readmission rates as well as condition-specific measures. Data Extraction: Inpatient data from general acute care hospitals from 2008 to 2014 in 15 states. Data linked on hospital 340B eligibility and participation. Principal Findings: We did not find discontinuities in inpatient care quality across the Program eligibility threshold for Medicaid and uninsured patients; specifically, on all-cause mortality (beta = -0.04 percentage points, 95% CI: -0.16, 0.08), 30-day readmission rates (beta = -0.16 percentage points, 95% CI: -0.81, 0.5), or other measures. Among insured and non-Medicaid patients, we found discontinuities for acute myocardial infarction (beta = -0.87 percentage points, 95% CI: -1.55, -0.2) and postoperative sepsis (beta = -0.15 percentage points, 95% CI: -0.23, -0.07) mortality. Conclusions: 340B Program participation has not demonstrated improved quality of inpatient care among Medicaid or uninsured patients. KEYWORDS 340B, DSH hospitals, safety net care, 1 | INTRODUCTION The 340B Drug Pricing Program is a federal safety net program that aims to direct financial resources toward health care providers serving groups that have been economically [...]

Published
2023
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11. Reassessing iron–gallium recombination activity in silicon.

Author

Le, Tien T., Zhou, Zhuangyi, Chen, Alan, Yang, Zhongshu, Rougieux, Fiacre, Macdonald, Daniel, and Liu, AnYao

Subjects
SILICON wafers, ION implantation, SILICON, ELECTRON capture, IRON
Abstract

In this work, we present a comprehensive re-evaluation of the iron–gallium (FeGa) recombination parameters in silicon using injection-dependent lifetime spectroscopy (IDLS). Ga-doped silicon wafers (of varying resistivities) with precise concentrations of intentional iron contamination in the silicon wafer bulk, through ion implantation and distribution, were used. The presence of interstitial Fei and FeGa, and their lifetime-limiting effects in these silicon wafers, were confirmed through measuring the effective minority carrier lifetime changes during the conditions that are known to cause FeGa dissociation and association. The presence of Fe was also confirmed by deep-level transient spectroscopy. To ensure accurate IDLS analysis of the FeGa defect in silicon, a lifetime linearization scheme was employed to effectively filter out interference by other defects. Error analysis was employed to find the combination of defect parameters that best fit the experimental data and to ascertain the range of uncertainty associated with the IDLS best-fit results. The optimal fitting of the experimental IDLS by Shockley–Read–Hall statistics produced an electron capture cross section σ n = 2.3 × 10 − 14 c m 2 , hole capture cross section σ p = 1.1 × 10 − 14 c m 2 , and a trap energy level E t = E V + 0.2 − 0.01 + 0.02 eV for the FeGa defect in silicon. The extracted defect parameters are also verified by experimentally measuring the crossover point of Fei and FeGa lifetime curves. [ABSTRACT FROM AUTHOR]

Published
2024
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13. Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach

Author

Xiong, Jing, Zhou, Pengyang, Chen, Alan, and Zhang, Yu

Subjects
Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing
Abstract

Encoder-decoder-based recurrent neural network (RNN) has made significant progress in sequence-to-sequence learning tasks such as machine translation and conversational models. Recent works have shown the advantage of this type of network in dealing with various time series forecasting tasks. The present paper focuses on the problem of multi-horizon short-term load forecasting, which plays a key role in the power system's planning and operation. Leveraging the encoder-decoder RNN, we develop an attention model to select the relevant features and similar temporal information adaptively. First, input features are assigned with different weights by a feature selection attention layer, while the updated historical features are encoded by a bi-directional long short-term memory (BiLSTM) layer. Then, a decoder with hierarchical temporal attention enables a similar day selection, which re-evaluates the importance of historical information at each time step. Numerical results tested on the dataset of the global energy forecasting competition 2014 show that our proposed model significantly outperforms some existing forecasting schemes.

Published
2021
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17. LRP2020: The cosmic origin and evolution of the elements

Author

Fernández, Rodrigo, Herwig, Falk, Safi-Harb, Samar, Dillmann, Iris, Venn, Kim A., Côté, Benoit, Heinke, Craig O., Rosolowsky, Erik, Woods, Tyrone E., Haggard, Daryl, Lehner, Luis, Ruan, John J., Siegel, Daniel M., Bovy, Jo, Chen, Alan A., Cumming, Andrew, Davids, Barry, Drout, Maria R., and Krüecken, Reiner

Subjects
Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - High Energy Astrophysical Phenomena, General Relativity and Quantum Cosmology, Nuclear Theory
Abstract

The origin of many elements of the periodic table remains an unsolved problem. While many nucleosynthetic channels are broadly understood, significant uncertainties remain regarding certain groups of elements such as the intermediate and rapid neutron-capture processes, the p-process, or the origin of odd-Z elements in the most metal-poor stars. Canada has a long tradition of leadership in nuclear astrophysics, dating back to the work of Alastair Cameron in the 1950s. Recent faculty hires have further boosted activity in the field, including transient observation and theory, survey science on galactic nucleosynthesis, and nuclear experiments. This white paper contains a brief overview of recent activity in the community, highlighting strengths in each sub-field, and provides recommendations to improve interdisciplinary collaboration. Sustaining Canadian leadership in the next decade will require, on the observational side, access to transient and non-transient surveys like LSST, SKA, or MSE, support for target-of-opportunity observing in current and future Canadian telescopes, and participation in next-generation X-ray telescopes such as ATHENA. State-of-the-art theoretical predictions will require an ambitious succession plan for the Niagara supercomputer to support large parallel jobs. We propose a funding instrument for postdoctoral training that reflects the interdisciplinary nature of nuclear astrophysics research, and the creation of a national collaborative funding program that allows for joint projects and workshop organization., Comment: White paper submitted to the Canadian Long Range Plan 2020. Minor formatting changes relative to submitted version

Published
2019
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23. Nanowrinkled Carbon Aerogels Embedded with FeN Sites as Effective Oxygen Electrodes for Rechargeable Zinc-Air Battery

Author

He, Ting, Lu, Bingzhang, Chen, Yang, Wang, Yong, Zhang, Yaqiang, Davenport, John L, Chen, Alan P, Pao, Chih-Wen, Liu, Min, Sun, Zhifang, Stram, Alexander, Mordaunt, Alexander, Velasco, Jairo, Ping, Yuan, Zhang, Yi, and Chen, Shaowei

Subjects
Engineering, Materials Engineering, Chemical Sciences, Affordable and Clean Energy
Abstract

Rational design of single-metal atom sites in carbon substrates by a flexible strategy is highly desired for the preparation of high-performance catalysts for metal-air batteries. In this study, biomass hydrogel reactors are utilized as structural templates to prepare carbon aerogels embedded with single iron atoms by controlled pyrolysis. The tortuous and interlaced hydrogel chains lead to the formation of abundant nanowrinkles in the porous carbon aerogels, and single iron atoms are dispersed and stabilized within the defective carbon skeletons. X-ray absorption spectroscopy measurements indicate that the iron centers are mostly involved in the coordination structure of FeN4, with a minor fraction (ca. 1/5) in the form of FeN3C. First-principles calculations show that the FeN x sites in the Stone-Wales configurations induced by the nanowrinkles of the hierarchically porous carbon aerogels show a much lower free energy than the normal counterparts. The resulting iron and nitrogen-codoped carbon aerogels exhibit excellent and reversible oxygen electrocatalytic activity, and can be used as bifunctional cathode catalysts in rechargeable Zn-air batteries, with a performance even better than that based on commercial Pt/C and RuO2 catalysts. Results from this study highlight the significance of structural distortions of the metal sites in carbon matrices in the design and engineering of highly active single-atom catalysts.

Published
2019

24. Nanowrinkled Carbon Aerogels Embedded with FeN x Sites as Effective Oxygen Electrodes for Rechargeable Zinc-Air Battery.

Author

He, Ting, Lu, Bingzhang, Chen, Yang, Wang, Yong, Zhang, Yaqiang, Davenport, John L, Chen, Alan P, Pao, Chih-Wen, Liu, Min, Sun, Zhifang, Stram, Alexander, Mordaunt, Alexander, Velasco, Jairo, Ping, Yuan, Zhang, Yi, and Chen, Shaowei

Abstract

Rational design of single-metal atom sites in carbon substrates by a flexible strategy is highly desired for the preparation of high-performance catalysts for metal-air batteries. In this study, biomass hydrogel reactors are utilized as structural templates to prepare carbon aerogels embedded with single iron atoms by controlled pyrolysis. The tortuous and interlaced hydrogel chains lead to the formation of abundant nanowrinkles in the porous carbon aerogels, and single iron atoms are dispersed and stabilized within the defective carbon skeletons. X-ray absorption spectroscopy measurements indicate that the iron centers are mostly involved in the coordination structure of FeN4, with a minor fraction (ca. 1/5) in the form of FeN3C. First-principles calculations show that the FeN x sites in the Stone-Wales configurations induced by the nanowrinkles of the hierarchically porous carbon aerogels show a much lower free energy than the normal counterparts. The resulting iron and nitrogen-codoped carbon aerogels exhibit excellent and reversible oxygen electrocatalytic activity, and can be used as bifunctional cathode catalysts in rechargeable Zn-air batteries, with a performance even better than that based on commercial Pt/C and RuO2 catalysts. Results from this study highlight the significance of structural distortions of the metal sites in carbon matrices in the design and engineering of highly active single-atom catalysts.

Published
2019

28. Developing an eco-driving strategy in a hybrid traffic network using reinforcement learning.

Author

Jamil, Umar, Malmir, Mostafa, Chen, Alan, Filipovska, Monika, Xie, Mimi, Ding, Caiwen, and Jin, Yu-Fang

Abstract

Eco-driving has garnered considerable research attention owing to its potential socio-economic impact, including enhanced public health and mitigated climate change effects through the reduction of greenhouse gas emissions. With an expectation of more autonomous vehicles (AVs) on the road, an eco-driving strategy in hybrid traffic networks encompassing AV and human-driven vehicles (HDVs) with the coordination of traffic lights is a challenging task. The challenge is partially due to the insufficient infrastructure for collecting, transmitting, and sharing real-time traffic data among vehicles, facilities, and traffic control centers, and the following decision-making of agents involved in traffic control. Additionally, the intricate nature of the existing traffic network, with its diverse array of vehicles and facilities, contributes to the challenge by hindering the development of a mathematical model for accurately characterizing the traffic network. In this study, we utilized the Simulation of Urban Mobility (SUMO) simulator to tackle the first challenge through computational analysis. To address the second challenge, we employed a model-free reinforcement learning (RL) algorithm, proximal policy optimization, to decide the actions of AV and traffic light signals in a traffic network. A novel eco-driving strategy was proposed by introducing different percentages of AV into the traffic flow and collaborating with traffic light signals using RL to control the overall speed of the vehicles, resulting in improved fuel consumption efficiency. Average rewards with different penetration rates of AV (5%, 10%, and 20% of total vehicles) were compared to the situation without any AV in the traffic flow (0% penetration rate). The 10% penetration rate of AV showed a minimum time of convergence to achieve average reward, leading to a significant reduction in fuel consumption and total delay of all vehicles. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Biophysics of microRNA-34a targeting and its influence on down-regulation

Author

Sweetapple, Lara, primary, Kosek, David M, additional, Banijamali, Elnaz, additional, Becker, Walter, additional, Müller, Juliane, additional, Karadiakos, Christina, additional, Baronti, Lorenzo, additional, Guzzetti, Ileana, additional, Schritt, Dimitri, additional, Chen, Alan, additional, Andersson, Emma R, additional, and Petzold, Katja, additional

Published
2024
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35. Evaluation of SARS-CoV-2 IgG antibody reactivity in patients with systemic lupus erythematosus: analysis of a multi-racial and multi-ethnic cohort

Author

Adhikari, Samrachana, Axelrad, Jordan, Azar, Natalie, Blank, Rebecca, Brancato, Lenore, Brodetskiy, Konstantin, Cao, Lily, Carlucci, Philip M., Carsons, Steven, Chang, Miao, Chang, Shannon, Chen, Alan, Colin, Michael, Fried, Lauren, Garner, Bruce, Goldberg, Avram, Golden, Brian, Golpanian, Michael, Haj-Ali, Mayce, Hoey, Jessica, Homsi, Yamen, Hong, Simon, Hudesman, David, Hussain, Nazia, Jaros, Brian, Katz, Susan, Kolla, Avani, Lee, Euna, Lee, Sicy, Lesser, Robert, Lipschitz, Robin, Lydon, Eileen, Malik, Fardina, Mangalick, Keshav, Mehta, Kavini, Modi, Anang, Neimann, Andrea, Novack, Joshua, Nusbaum, Julie, Peterson, Connor, Piatti, Andres, Plotz, Benjamin, Porges, Andrew, Quintana, Lindsey, Rackoff, Paula, Ramirez, Deborah, Rangel, Lauren, Reddy, Soumya, Robins, Kimberly, Rosenthal, Pamela, Samuels, Jonathan, Sandigursky, Sabina, Sekar, Vaish, Shankar, Shruti, Shen, Harry, Smiles, Stephen, Smuda, Craig, Solitar, Bruce, Solomon, Gary, Stein, Jennifer, Steuer, Alexa, Sullivan, Janine, Svigos, Katerina, Troxel, Andrea, Viennas, Stelios, Wong, Lauren, Yan, Di, Yin, Kaitlyn (Lu), Young, Trevor, Zagon, Gary, Saxena, Amit, Guttmann, Allison, Masson, Mala, Kim, Mimi Y, Haberman, Rebecca H, Castillo, Rochelle, Scher, Jose U, Deonaraine, Kristina K, Engel, Alexis J, Belmont, H Michael, Blazer, Ashira D, Buyon, Jill P, Fernandez-Ruiz, Ruth, and Izmirly, Peter M

Published
2021
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39. FREE SPEECH, RATIONAL DELIBERATION, AND SOME TRUTHS ABOUT LIES

Author

Chen, Alan K.

Subjects
Harm principle (Ethics) -- Laws, regulations and rules, Freedom of speech -- Laws, regulations and rules, Disinformation -- Laws, regulations and rules, Deception -- Laws, regulations and rules, Deliberative democracy -- Analysis, Government regulation, Law, United States Constitution (U.S. Const. amend. 1)
Abstract

Could 'fake news' have First Amendment value? This claim would seem to be almost frivolous given the potential for fake news to undermine two core functions of the freedom of speech--promoting democracy and facilitating the search for 'truth,' as well as the corollary that to be valuable, speech must promote rational deliberation. Some would therefore claim that fake news should be classified as 'no value' speech falling outside of the First Amendment's reach. This Article argues somewhat counterintuitively that fake news has value because speech doctrine should not be focused exclusively on the promotion of rational deliberation, but should also limit the state's ability to control the way we emotionally experience ideas, beliefs, and even facts. It claims that like art, music, religious expression, and other forms of human communication that do not facilitate rational deliberation in their audiences, fake news can promote a form of expressive experiential autonomy. It can allow individuals to experience individual self-realization and identity formation and also form cultural connections with like-minded people, advancing social cohesion. Drawing on First Amendment theory and on the fields of cognitive and social psychology and political science, this Article views consumers of fake news not simply as uninformed, gullible rubes, but as individuals seeking simultaneously to distinguish themselves through individualization or self-identification and to connect themselves through group association with a community of people with whom they share values. Understood in this way, this inquiry illustrates why the rational deliberation principle is incomplete because it does not explain much of what we ought to recognize as 'speech.' This more nuanced understanding of the way that fake news connects with much of its audience has implications for free speech theory, First Amendment doctrine, and policy-making options for addressing the potential harms of fake news. To be clear, this Article is not a defense of fake news or those who intentionally attempt to influence others' behavior by spreading false facts disguised as legitimate news. Thus, this Article concludes by explaining that while fake news should always be covered by the First Amendment, it should not always be protected., TABLE OF CONTENTS INTRODUCTION 360 I. THE 'FAKE NEWS' PHENOMENON 366 A. Defining Fake News 366 B. A Brief Chronology of Fake News 368 C. Anticipating Free Speech Concerns with [...]

Published
2020

43. 30S RI Beam Production and X-ray Bursts

Author

Kahl, David, Chen, Alan A., Binh, Dam Nguyen, Chen, Jun, Hashimoto, Takashi, Hayakawa, Seiya, Kim, Aram, Kubono, Shigeru, Kurihara, Yuzo, Lee, Nam Hee, Michimasa, Shin'ichiro, Nishimura, Shunji, Van Ouellet, Christian, nia, Kiana Setoodeh, Wakabayashi, Yasuo, and Yamaguchi, Hideotoshi

Subjects
Nuclear Experiment
Abstract

The present work reports the results of 30S radioactive beam development for a future experiment directly measuring data to extrapolate the 30S(alpha,p) stellar reaction rate in Type I X-ray bursts, a phenomena where nuclear explosions occur repeatedly on the surface of accreting neutron stars. We produce the radioactive ion 30S via the 3He(28Si,30S)n reaction, by bombarding a cryogenically cooled target of 3He at 400 Torr and 80 K with 28Si beams of 6.9 and 7.54 MeV/u. In order to perform a successful future experiment which allows us to calculate the stellar 30S(alpha, p) reaction rate, Hauser-Feshbach calculations indicate we require a 30S beam of ~10^5 particles per second at ~32 MeV. Based on our recent beam development experiments in 2006 and 2008, it is believed that such a beam may be fabricated in 2009 according to the results presented. We plan to measure the 4He(30S,p) cross-section at astrophysical energies in 2009, and some brief remarks on the planned (alpha,p) technique are also elucidated., Comment: 5 pages, 3 figures. Submitted on Dec. 25, 2008 for the Proceedings of the 10th Symposium on Nuclei in the Cosmos, Mackinac Island, Michigan, USA, 27 July - 1 August, 2008. Accepted for publication Jan. 09, 2009

Published
2009

49. Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015

Author

Barber, Ryan M, Fullman, Nancy, Sorensen, Reed J D, Bollyky, Thomas, McKee, Martin, Nolte, Ellen, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulle, Abdishakur M, Abdurahman, Ahmed Abdulahi, Abera, Semaw Ferede, Abraham, Biju, Abreha, Girmatsion Fisseha, Adane, Kelemework, Adelekan, Ademola Lukman, Adetifa, Ifedayo Morayo O, Afshin, Ashkan, Agarwal, Arnav, Agarwal, Sanjay Kumar, Agarwal, Sunilkumar, Agrawal, Anurag, Kiadaliri, Aliasghar Ahmad, Ahmadi, Alireza, Ahmed, Kedir Yimam, Ahmed, Muktar Beshir, Akinyemi, Rufus Olusola, Akinyemiju, Tomi F, Akseer, Nadia, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Sayed Saidul, Alemu, Zewdie Aderaw, Alene, Kefyalew Addis, Alexander, Lily, Ali, Raghib, Ali, Syed Danish, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Martin, Elena Alvarez, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amo-Adjei, Joshu, Amoako, Yaw Ampem, Anderson, Benjamin O, Androudi, Sofia, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Ärnlöv, Johan, Artaman, Al, Asayesh, Hamid, Assadi, Reza, Astatkie, Ayalew, Atey, Tesfay Mehari, Atique, Suleman, Atnafu, Niguse Tadele, Atre, Sachin R, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Quintanilla, Beatriz Paulina Ayala, Awasthi, Ashish, Ayele, Nebiyu Negussu, Azzopardi, Peter, Saleem, Huda Omer Ba, Bärnighausen, Till, Bacha, Umar, Badawi, Alaa, Banerjee, Amitava, Barac, Aleksandra, Barboza, Miguel A, Barker-Collo, Suzanne L, Barrero, Lope H, Basu, Sanjay, Baune, Bernhard T, Baye, Kaleab, Bayou, Yibeltal Tebekaw, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Bernabé, Eduardo, Bernal, Oscar Alberto, Beyene, Addisu Shunu, Beyene, Tariku Jibat, Bhutta, Zulfiqar A, Biadgilign, Sibhatu, Bikbov, Boris, Birlik, Sait Mentes, Birungi, Charles, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Bose, Dipan, Brainin, Michael, Brauer, Michael, Brazinova, Alexandra, Breitborde, Nicholas J K, Brenner, Hermann, Butt, Zahid A, Cárdenas, Rosario, Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael Ricardo, Car, Josip, Carrero, Juan Jesus, Casey, Daniel, Caso, Valeria, Castañeda-Orjuela, Carlos A, Rivas, Jacqueline Castillo, Catalá-López, Ferrán, Cecilio, Pedro, Cercy, Kelly, Charlson, Fiona J, Chen, Alan Z, Chew, Adrienne, Chibalabala, Mirriam, Chibueze, Chioma Ezinne, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G, Cirillo, Massimo, Coggeshall, Megan S, Cooper, Leslie Trumbull, Cortinovis, Monica, Crump, John A, Dalal, Koustuv, Danawi, Hadi, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, das Neves, Jose, Davey, Gail, Davitoiu, Dragos V, Davletov, Kairat, De Leo, Diego, Del Gobbo, Liana C, del Pozo-Cruz, Borja, Dellavalle, Robert P, Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C, Dey, Subhojit, Dharmaratne, Samath D, Dicker, Daniel, Ding, Eric L, Dokova, Klara, Dorsey, E Ray, Doyle, Kerrie E, Dubey, Manisha, Ehrenkranz, Rebecca, Ellingsen, Christian Lycke, Elyazar, Iqbal, Enayati, Ahmadali, Ermakov, Sergey Petrovich, Eshrati, Babak, Esteghamati, Alireza, Estep, Kara, Fürst, Thomas, Faghmous, Imad D A, Fanuel, Fanuel Belayneh Bekele, Faraon, Emerito Jose Aquino, Farid, Talha A, Farinha, Carla Sofia e Sa, Faro, Andre, Farvid, Maryam S, Farzadfar, Farshad, Feigin, Valery L, Feigl, Andrea B, Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G, Fernandes, João C, Feyissa, Tesfaye Regassa, Fischer, Florian, Fitzmaurice, Christina, Fleming, Thomas D, Foigt, Nataliya, Foreman, Kyle J, Forouzanfar, Mohammad H, Franklin, Richard C, Frostad, Joseph, G/hiwot, Tsegaye Tewelde, Gakidou, Emmanuela, Gambashidze, Ketevan, Gamkrelidze, Amiran, Gao, Wayne, Garcia-Basteiro, Alberto L, Gebre, Teshome, Gebremedhin, Amanuel Tesfay, Gebremichael, Mengistu Welday, Gebru, Alemseged Aregay, Gelaye, Amha Admasie, Geleijnse, Johanna M, Genova-Maleras, Ricard, Gibney, Katherine B, Giref, Ababi Zergaw, Gishu, Melkamu Dedefo, Giussani, Giorgia, Godwin, William W, Gold, Audra, Goldberg, Ellen M, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Goto, Atsushi, Graetz, Nicholas, Greaves, Felix, Griswold, Max, Guban, Peter Imre, Gugnani, Harish Chander, Gupta, Prakash C, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Habtewold, Tesfa Dejenie, Hafezi-Nejad, Nima, Haile, Demewoz, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, Hakuzimana, Alex, Hamadeh, Randah Ribhi, Hambisa, Mitiku Teshome, Hamidi, Samer, Hammami, Mouhanad, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Hareri, Habtamu Abera, Haro, Josep Maria, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hay, Roderick J, Hay, Simon I, Hendrie, Delia, Heredia-Pi, Ileana Beatriz, Hoek, Hans W, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Htet, Aung Soe, Hu, Guoqing, Huang, Hsiang, Huang, John J, Huntley, Bethany M, Huynh, Chantal, Iburg, Kim Moesgaard, Ileanu, Bogdan Vasile, Innos, Kaire, Irenso, Asnake Ararsa, Jahanmehr, Nader, Jakovljevic, Mihajlo B, James, Peter, James, Spencer Lewis, Javanbakht, Mehdi, Jayaraman, Sudha P, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Vivekanand, John, Denny, Johnson, Catherine, Johnson, Sarah C, Jonas, Jost B, Juel, Knud, Kabir, Zubair, Kalkonde, Yogeshwar, Kamal, Ritul, Kan, Haidong, Karch, Andre, Karema, Corine Kakizi, Karimi, Seyed M, Kasaeian, Amir, Kassebaum, Nicholas J, Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kazanjan, Konstantin, Keiyoro, Peter Njenga, Kemmer, Laura, Kemp, Andrew Haddon, Kengne, Andre Pascal, Kerbo, Amene Abebe, Kereselidze, Maia, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khalil, Ibrahim, Khan, Abdur Rahman, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khang, Young-Ho, Khoja, Abdullah Tawfih Abdullah, Khonelidze, Irma, Khubchandani, Jagdish, Kibret, Getiye Dejenu, Kim, Daniel, Kim, Pauline, Kim, Yun Jin, Kimokoti, Ruth W, Kinfu, Yohannes, Kissoon, Niranjan, Kivipelto, Miia, Kokubo, Yoshihiro, Kolk, Anneli, Kolte, Dhaval, Kopec, Jacek A, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael, Krishnaswami, Sanjay, Krohn, Kristopher J, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kuipers, Ernst J, Kulkarni, Veena S, Kumar, G Anil, Kumsa, Fekede Asefa, Kutz, Michael, Kyu, Hmwe H, Lager, Anton Carl Jonas, Lal, Aparna, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lan, Qing, Langan, Sinead M, Lansingh, Van C, Larson, Heidi J, Larsson, Anders, Laryea, Dennis Odai, Latif, Asma Abdul, Lawrynowicz, Alicia Elena Beatriz, Leasher, Janet L, Leigh, James, Leinsalu, Mall, Leshargie, Cheru Tesema, Leung, Janni, Leung, Ricky, Levi, Miriam, Liang, Xiaofeng, Lim, Stephen S, Lind, Margaret, Linn, Shai, Lipshultz, Steven E, Liu, Patrick, Liu, Yang, Lo, Loon-Tzian, Logroscino, Giancarlo, Lopez, Alan D, Lorch, Scott A, Lotufo, Paulo A, Lozano, Rafael, Lunevicius, Raimundas, Lyons, Ronan A, Macarayan, Erlyn Rachelle King, Mackay, Mark T, El Razek, Hassan Magdy Abd, El Razek, Mohammed Magdy Abd, Mahdavi, Mahdi, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Mantovani, Lorenzo G, Manyazewal, Tsegahun, Mapoma, Chabila C, Marcenes, Wagner, Marks, Guy B, Marquez, Neal, Martinez-Raga, Jose, Marzan, Melvin Barrientos, Massano, João, Mathur, Manu Raj, Maulik, Pallab K, Mazidi, Mohsen, McAlinden, Colm, McGrath, John J, McNellan, Claire, Meaney, Peter A, Mehari, Alem, Mehndiratta, Man Mohan, Meier, Toni, Mekonnen, Alemayehu B, Meles, Kidanu Gebremariam, Memish, Ziad A, Mengesha, Melkamu Merid, Mengiste, Desalegn Tadese, Mengistie, Mubarek Abera, Menota, Bereket Gebremichael, Mensah, George A, Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J, Mezgebe, Haftay Berhane, Micha, Renata, Millear, Anoushka, Mills, Edward J, Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M, Mock, Charles N, Mohammad, Karzan Abdulmuhsin, Mohammed, Shafiu, Mohanty, Sanjay K, Mokdad, Ali H, Mola, Glen Liddell D, Molokhia, Mariam, Monasta, Lorenzo, Montico, Marcella, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Mori, Rintaro, Moses, Mark, Mueller, Ulrich O, Murthy, Srinivas, Musa, Kamarul Imran, Nachega, Jean B, Nagata, Chie, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Naldi, Luigi, Nangia, Vinay, Nascimento, Bruno Ramos, Negoi, Ionut, Neupane, Sudan Prasad, Newton, Charles R, Ng, Marie, Ngalesoni, Frida Namnyak, Ngunjiri, Josephine Wanjiku, Nguyen, Grant, Ningrum, Dina Nur Anggraini, Nolte, Sandra, Nomura, Marika, Norheim, Ole F, Norrving, Bo, Noubiap, Jean Jacques N, Obermeyer, Carla Makhlouf, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olivares, Pedro R, Olsen, Helen E, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Opio, John Nelson, Oren, Eyal, Ortiz, Alberto, Osborne, Richard H, Osman, Majdi, Owolabi, Mayowa O, PA, Mahesh, Pain, Amanda W, Pakhale, Smita, Castillo, Elizabeth Palomares, Pana, Adrian, Papachristou, Christina, Parsaeian, Mahboubeh, Patel, Tejas, Patton, George C, Paudel, Deepak, Paul, Vinod K, Pearce, Neil, Pereira, David M, Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Phillips, Michael Robert, Pigott, David M, Pillay, Julian David, Pinho, Christine, Polinder, Suzanne, Pond, Constance D, Prakash, V, Purwar, Manorama, Qorbani, Mostafa, Quistberg, D Alex, Radfar, Amir, Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rai, Rajesh Kumar, Ram, Usha, Rana, Saleem M, Rankin, Zane, Rao, Paturi Vishnupriya, Rao, Puja C, Rawaf, Salman, Rego, Maria Albertina Santiago, Reitsma, Marissa, Remuzzi, Giuseppe, Renzaho, Andre M N N, Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio L, Roba, Hirbo Shore, Rokni, Mohammad Bagher, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A, Rothenbacher, Dietrich, Roy, Nawal K, Sachdev, Perminder S, Sackey, Ben Benasco, Saeedi, Mohammad Yahya, Safiri, Saeid, Sagar, Rajesh, Sahraian, Mohammad Ali, Saleh, Muhammad Muhammad, Salomon, Joshua A, Samy, Abdallah M, Sanabria, Juan Ramon, Sanchez-Niño, Maria Dolores, Sandar, Logan, Santos, Itamar S, Santos, João Vasco, Milicevic, Milena M Santric, Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Savic, Miloje, Sawhney, Monika, Saylan, Mete I, Schöttker, Ben, Schutte, Aletta E, Schwebel, David C, Seedat, Soraya, Seid, Abdulbasit Musa, Seifu, Canaan Negash, Sepanlou, Sadaf G, Serdar, Berrin, Servan-Mori, Edson E, Setegn, Tesfaye, Shackelford, Katya Anne, Shaheen, Amira, Shahraz, Saeid, Shaikh, Masood Ali, Shakh-Nazarova, Marina, Shamsipour, Mansour, Islam, Sheikh Mohammed Shariful, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Sheikhbahaei, Sara, Shen, Jiabin, Shi, Peilin, Shigematsu, Mika, Shin, Min-Jeong, Shiri, Rahman, Shoman, Haitham, Shrime, Mark G, Sibamo, Ephrem Lejore Sibamo, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santos, Silveira, Dayane Gabriele Alves, Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A, Singh, Om Prakash, Singh, Prashant Kumar, Singh, Virendra, Sinke, Abiy Hiruye, Sinshaw, Aklilu Endalamaw, Skirbekk, Vegard, Sliwa, Karen, Smith, Alison, Sobngwi, Eugene, Soneji, Samir, Soriano, Joan B, Sousa, Tatiane Cristina Moraes, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stathopoulou, Vasiliki, Steel, Nicholas, Steiner, Caitlyn, Steinke, Sabine, Stokes, Mark Andrew, Stranges, Saverio, Strong, Mark, Stroumpoulis, Konstantinos, Sturua, Lela, Sufiyan, Muawiyyah Babale, Suliankatchi, Rizwan Abdulkader, Sun, Jiandong, Sur, Patrick, Swaminathan, Soumya, Sykes, Bryan L, Tabarés-Seisdedos, Rafael, Tabb, Karen M, Taffere, Getachew Redae, Talongwa, Roberto Tchio, Tarajia, Musharaf, Tavakkoli, Mohammad, Taveira, Nuno, Teeple, Stephanie, Tegegne, Teketo Kassaw, Tehrani-Banihashemi, Arash, Tekelab, Tesfalidet, Tekle, Dejen Yemane, Shifa, Girma Temam, Terkawi, Abdullah Sulieman, Tesema, Azeb Gebresilassie, Thakur, JS, Thomson, Alan J, Tillmann, Taavi, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Tortajada, Miguel, Troeger, Christopher, Truelsen, Thomas, Tura, Abera Kenay, Uchendu, Uche S, Ukwaja, Kingsley N, Undurraga, Eduardo A, Uneke, Chigozie Jesse, Uthman, Olalekan A, van Boven, Job F M, Van Dingenen, Rita, Varughese, Santosh, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Violante, Francesco S, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wagner, Joseph A, Wakayo, Tolassa, Waller, Stephen G, Walson, Judd L, Wang, Haidong, Wang, Yuan-Pang, Watkins, David A, Weiderpass, Elisabete, Weintraub, Robert G, Wen, Chi-Pang, Werdecker, Andrea, Wesana, Joshua, Westerman, Ronny, Whiteford, Harvey A, Wilkinson, James D, Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D A, Won, Sungho, Workicho, Abdulhalik, Workie, Shimelash Bitew, Wubshet, Mamo, Xavier, Denis, Xu, Gelin, Yadav, Ajit Kumar, Yaghoubi, Mohsen, Yakob, Bereket, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yimam, Hassen Hamid, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z, Yu, Chuanhua, Zaidi, Zoubida, El Sayed Zaki, Maysaa, Zambrana-Torrelio, Carlos, Zapata, Tomas, Zenebe, Zerihun Menlkalew, Zodpey, Sanjay, Zoeckler, Leo, Zuhlke, Liesl Joanna, and Murray, Christopher J L

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2017
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