14,846 results on '"An DY"'
Search Results
202. Current State of Urology Residency Education on Caring for Transgender and Non-Binary Patients
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Sineath, R. Craig, Hennig, Finn, and Dy, Geolani W.
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- 2023
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203. Catastrophic Health Expenditures Associated With Open Reduction Internal Fixation of Distal Radius Fractures
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Billig, Jessica I., Law, Jody M., Brody, Madison, Cavanaugh, Katherine E., and Dy, Christopher J.
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- 2023
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204. Novel, accurate pathogen sensors for fast detection of SARS-CoV-2 in the aerosol in seconds for a breathalyzer platform
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Shi, Xiaoling, Sadeghi, Pardis, Lobandi, Nader, Emam, Shadi, Seyed Abrishami, Seyed Mahdi, Martos-Repath, Isabel, Mani, Natesan, Nasrollahpour, Mehdi, Sun, William, Rones, Stav, Kwok, Joshua, Shah, Harsh, Charles, Joseph, Khan, Zulqarnain, Pagsuyoin, Sheree, Rojjanapinun, Akarapan, Liu, Ping, Chae, Jeongmin, Ferreira Da Costa, Maxime, Li, Jianxiu, Sun, Xin, Yang, Mengdi, Li, Jiahe, Dy, Jennifer, Wang, Jennifer, Luban, Jeremy, Chang, ChingWen, Finberg, Robert, Mitra, Urbashi, Cash, Sydney, Robbins, Gregory, Hodys, Cole, Lu, Hui, Wiegand, Patrick, Rieger, Robert, and Sun, Nian X.
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- 2023
- Full Text
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205. Sex-Specific Effects of Body Composition on Tumor Microenvironment in Non–Small Cell Lung Cancer
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Vedire, Yeshwanth, Seager, Robert, Van Roey, Erik, Gao, Shuang, Nesline, Mary, Conroy, Jeffrey, Dy, Grace, Barbi, Joseph, Pabla, Sarabjot, and Yendamuri, Sai
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- 2023
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206. The Argo: a high channel count recording system for neural recording in vivo
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Sahasrabuddhe, Kunal, Khan, Aamir A, Singh, Aditya P, Stern, Tyler M, Ng, Yeena, Tadi, Aleksandar, Orel, Peter, LaReau, Chris, Pouzzner, Daniel, Nishimura, Kurtis, Boergens, Kevin M, Shivakumar, Sashank, Hopper, Matthew S, Kerr, Bryan, Hanna, Mina-Elraheb S, Edgington, Robert J, McNamara, Ingrid, Fell, Devin, Gao, Peng, Babaie-Fishani, Amir, Veijalainen, Sampsa, Klekachev, Alexander V, Stuckey, Alison M, Luyssaert, Bert, Kozai, Takashi DY, Xie, Chong, Gilja, Vikash, Dierickx, Bart, Kong, Yifan, Straka, Malgorzata, Sohal, Harbaljit S, and Angle, Matthew R
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Bioengineering ,Neurosciences ,Neurological ,Amplifiers ,Electronic ,Animals ,Electrodes ,Implanted ,Microelectrodes ,Neurons ,Rats ,Sheep ,microelectrode array ,microwires ,auditory cortex ,brain– ,computer interface ,electrophysiology ,sheep ,rats ,Biomedical Engineering ,Clinical Sciences - Abstract
ObjectiveDecoding neural activity has been limited by the lack of tools available to record from large numbers of neurons across multiple cortical regions simultaneously with high temporal fidelity. To this end, we developed the Argo system to record cortical neural activity at high data rates.ApproachHere we demonstrate a massively parallel neural recording system based on platinum-iridium microwire electrode arrays bonded to a CMOS voltage amplifier array. The Argo system is the highest channel count in vivo neural recording system, supporting simultaneous recording from 65 536 channels, sampled at 32 kHz and 12-bit resolution. This system was designed for cortical recordings, compatible with both penetrating and surface microelectrodes.Main resultsWe validated this system through initial bench testing to determine specific gain and noise characteristics of bonded microwires, followed by in-vivo experiments in both rat and sheep cortex. We recorded spiking activity from 791 neurons in rats and surface local field potential activity from over 30 000 channels in sheep.SignificanceThese are the largest channel count microwire-based recordings in both rat and sheep. While currently adapted for head-fixed recording, the microwire-CMOS architecture is well suited for clinical translation. Thus, this demonstration helps pave the way for a future high data rate intracortical implant.
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- 2021
207. Solving the Bethe-Salpeter equation on a subspace: Approximations and consequences for low-dimensional materials
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Qiu, DY, Da Jornada, FH, and Louie, SG
- Abstract
It is well known that the ambient environment can dramatically renormalize the quasiparticle gap and exciton binding energies in low-dimensional materials, but the effect of the environment on the energy splitting of the spin-singlet and spin-triplet exciton states is less understood. A prominent effect is the renormalization of the exciton binding energy and optical strength (and hence the optical spectrum) through additional screening of the direct Coulomb term describing the attractive electron-hole interaction in the kernel of the Bethe-Salpeter equation. The repulsive exchange interaction responsible for the singlet-triplet splitting, on the other hand, is unscreened within formal many-body perturbation theory. However, Benedict argued that in practical calculations restricted to a subspace of the full Hilbert space, the exchange interaction should be appropriately screened by states outside of the subspace, the so-called S approximation [L. X. Benedict, Phys. Rev. B 66, 193105 (2002)PRBMDO0163-182910.1103/PhysRevB.66.193105]. Here, we systematically explore the accuracy of the S approximation for different confined systems, including a molecule and heterostructures of semiconducting and metallic layered materials. We show that the S approximation is actually exact in the limit of small exciton binding energies (i.e., small direct term) and can be used to significantly accelerate convergence of the exciton energies with respect to the number of empty states, provided that a particular effective screening consistent with the conventional Tamm-Dancoff approximation is employed. We further find that the singlet-triplet splitting in the energy of the excitons is largely unaffected by the external dielectric environment for most quasi-two-dimensional materials.
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- 2021
208. Integrated genomic analyses of hepatocellular carcinoma
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Chang, Ya-Sian, Tu, Siang-Jyun, Chen, Hong-Da, Hsu, Ming-Hon, Chen, Yu-Chia, Chao, Dy-San, Chung, Chin-Chun, Chou, Yu-Pao, Chang, Chieh-Min, Lee, Ya-Ting, Yen, Ju-Chen, Jeng, Long-Bin, and Chang, Jan-Gowth
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- 2023
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209. Unilateral Adrenalectomy for Primary Aldosteronism Due to Bilateral Adrenal Disease Can Result in Resolution of Hypokalemia and Amelioration of Hypertension
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Szabo Yamashita, Thomas, Shariq, Omair A., Foster, Trenton R., Lyden, Melanie L., Dy, Benzon M., Young, Jr., William F., Bancos, Irina, and McKenzie, Travis J.
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- 2023
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210. Gender-Affirming Surgery, Care, and Common Complications
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Butler, Christi, primary, Dugi, Daniel, additional, and Dy, Geolani W., additional
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- 2023
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211. Vernacular Translations of the Latin Bible
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Dy, Oliver, primary and François, Wim, additional
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- 2023
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212. ATS Core Curriculum 2020. Pediatric Pulmonary Medicine.
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Gross, Jane E, McCown, Michael Y, Okorie, Caroline, Bishay, Lara C, Dy, Fei J, Rettig, Jordan S, Baker, Christopher D, Balmes, John R, Barber, Andrew T, Bose, Sourav K, Casey, Alicia, Hawkins, Stephen MM, Kass, Alexandra, Keim, Garrett, Mokhallati, Nadine, Montgomery, Gregory, Peranteau, William H, Serrano, Ryan, Vece, Timothy J, Yehya, Nadir, Boyer, Debra, and Hayes, Margaret M
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e-cigarettes ,pediatric ,review ,sarcoidosis ,wildfires - Abstract
The American Thoracic Society Core Curriculum updates clinicians annually in adult and pediatric pulmonary disease, medical critical care, and sleep medicine, in a 3- to 4-year recurring cycle of topics. These topics will be presented at the 2020 International Conference. Below is the pediatric pulmonary medicine core, including pediatric hypoxemic respiratory failure; modalities in noninvasive management of chronic respiratory failure in childhood; surgical and nonsurgical management of congenital lung malformations; an update on smoke inhalation lung injury; an update on vaporizers, e-cigarettes, and other electronic delivery systems; pulmonary complications of sarcoidosis; pulmonary complications of congenital heart disease; and updates on the management of congenital diaphragmatic hernia.
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- 2020
213. Spicules and skeletons: mantle musculature of two species of dorid nudibranchs (Gastropoda: Nudibranchia: Doridina)1
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Penney, BK, Sigwart, JD, and Parkinson, DY
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Biological Sciences ,Ecology ,Evolutionary Biology ,Cadlina luteomarginata ,Platydoris sanguinea ,computed tomography ,connective tissue ,histology ,musculature ,nudibranch ,skeleton ,spicule ,Zoology - Abstract
Molluscs often possess complex calcified elements in addition to the shell, but how these elements function and relate to other tissues is often poorly understood. Dorid nudibranchs typically possess innumerable calcareous spicules arranged in complex networks. To describe how these spicules interact with muscles and connective tissue, we reconstructed tomographic digital models using serial sections and synchrotron micro-computed tomography. In two species with dramatically different spicule network morphologies, musculature was divided into a dorsal layer of crossed fibres, a ventral layer of branching radial fibres, and scattered dorsoventral fibres in between. These two species differed in the size of their dorsal tubercles, which was reflected in the organization of dorsal musculature, and in the amount and organization of connective tissue. In Platydoris sanguinea Bergh, 1905, dense mats of spicules sandwiched a layer of connective tissue with fewer spicules and muscle insertions only onto the ventral spicules. In Cadlina luteomarginata MacFarland, 1966, thick tracts of spicules are surrounded by a sheath of connective tissue. Muscles surround and insert into the dorsal tubercle spicule layer. Thus, both species appear to use the spicule network for muscle antagonism and transfer of motion, but the different arrangement of elements suggests that they use this skeleton in quite different ways.
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- 2020
214. Expediting airport security queues through advanced lane assignment
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Marshall, Zachary A., Mott, John H., Gottwald, Adam J., Patrick, Caleb A., and Dy, Luigi Raphael I.
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- 2022
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215. Embracing Neurodiversity by Increasing Learner Agency in Nonmajor Chemistry Classes
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Bu¨dy, Beatrix
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In this work we focus on neurodiversity, a recently defined facet of diversity. Chemical education is in its early stages of recognizing the value that neurodiversity brings to the field. After an overview of current terminology, we discuss general challenges that neurodivergent students face in chemistry classes. To create an inclusive class experience for students with diverse neurocognitive functioning, we focus on increasing learner agency. Our premise is that neurodiversity is supported by a well-structured, learner-driven class-experience. On the basis of this, we developed a design that we applied in nonmajor chemistry courses taught remotely due to the COVID-19 pandemic. Our premise is supported by data extracted from student-teacher interactions, student surveys, and student course evaluations.
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- 2021
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216. Robotic Left Anatomical Hepatectomy For Intrahepatic Cholangiocarcinoma. Technique of Hepatic Vein Dissection Without CUSA
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Lim-Dy, Allyson, Ross, Sharona, and Sucandy, Iswanto
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- 2023
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217. 44 Corticosteroids decrease efficacy of immune checkpoint inhibitor therapy and correlate with compromised CD8+ T-cell differentiation in patients with non-small cell lung cancer
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Rajeev Sharma, Hongbin Chen, Takaaki Oba, Fumito Ito, Kristopher Attwood, Grace Dy, Eihab Abdelfatah, Lauren Polyakov, Joy Sarkar, and Brahm Segal
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Published
- 2023
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218. A simple and step-wise dissection of the dorsal nerve of the clitoris
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Monica Llado-Farrulla, Geolani W. Dy, and Blair R. Peters
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Dorsal nerve of clitoris ,Clitoris ,Phalloplasty ,DNC ,Surgery ,RD1-811 ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Objective: Dissection of the dorsal nerves of the clitoris (DNC) is an important step in most gender-affirming phalloplasty techniques. Understanding DNC anatomy also facilitates safe vulvar and clitoral surgery. However, the surgical anatomy of the DNC has only recently been thoroughly described in the literature, and dissection of the DNC has not traditionally been a routine part of genitourinary surgical education.1,2 With procedures involving the DNC (e.g. gender-affirming phalloplasty) increasing in frequency, surgical resources are needed to better illustrate and teach this critical dissection. In this video, we demonstrate a safe, efficient and reliable approach to dissection of the DNC. Patients and surgical procedure: This video is a demonstration of an approach to dissection of the dorsal nerve of the clitoris in a gender-affirming phalloplasty procedure. Results: The DNC is a critical structure for erogenous and sexual function and its dissection should always be approached cautiously to avoid injury. The DNC is formed from branches of the pudendal nerve and travels below the inferior public ramus along the posterior edge of the clitoral crus [3]. Inferior to the pubic symphysis, at the angle of the clitoral body, the dorsal clitoral nerves enter the deep component of the suspensory ligament of the clitoris.1,2 At the base of the clitoral body the dorsal nerves are superiorly suspended away from the clitoris before they descend inferiorly along the clitoral body. At this level, the DNC are large, approximately 2–3.2 mm, traveling at 10-11 and 1-2 o'clock positions along the clitoral body. We approach the DNC at this level by releasing the suspensory ligament of the clitoris and dissecting through the clitoral fascia. Conclusions: Dissection of the dorsal nerve of the clitoris (DNC) is a critical step in many gender-affirming phalloplasty procedures. A thorough understanding of its surgical anatomy is also necessary for safe vulvar surgery. In this video, we demonstrate a safe, efficient and reliable approach to dissection of the DNC.
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- 2023
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219. Improving fragility hip fracture care through data: a multicentre experience from a country with an emerging economy during the COVID-19 pandemic
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Michael Joseph Agbayani, Maria Sonia Salamat, Alexander Ho, Irewin Tabu, Mario Chan, Edward Wang, Irewin A Tabu, Karla Teresa S Araneta, Bernardino B Alpuerto, Giorgio D Delgado, Joseph Garvy L Lai, Jose Antonio G San Juan, Alexander Ho,, Ma. Ramona B Reyes, Jose De Vera, Jose Fernando C Syquia, Rene Edgardo C Manalastas, Adrian Joseph C Tablante, Allan Michael T Brabante, Cesar Cipriano D Dimayuga, Deejay M Pacheco, Phillipe Y Baclig, Andrew Steven T Co, John Alfred D Yap, Emmanuel Estrella, Mark Anthony Sandoval, Antonio Alan Mangubat, Dorothy Dy-Ching BingAgsaoay, Leilani Nicodemus, Shelley Ann DelaVega, Nathaniel Orillaza, Kathrina Isabel Epino, Jose Donato Magno, Anna Guia Limpoco, Marc Evans Abat, Peter Julian Francisco, JosephGarvy L Lai, Jose Antonio SanJuan, Ma Ramona Reyes, Jose Fernando Syquia, Jose B Lingad, Rene Edgardo Manalastas, Tristan Jay Arellano, Peter Paul Papio, AdrianJoseph C Tablante, Valleden Bancod, Melito Antonio Ramos, Karla Araneta, Iardinne Caiquep, Joseph Garvy Lai, Jenicca Magtuloy, Giorgio Delgado, Allan Brabante, John Andrew MichaelBengzon, Lauro Bonifacio, Arturo Cañete, Miles Francis Dela Rosa, Ruperto Estrada, Manolito Flavier, Jose Pujalte, Cesar Dimayuga, Deejay Pacheco, Parviz Dadgardoust, Francisco Altarejos, Philippe Baclig, Kristia Akiatan-Rey, Kenneth Yap, Pia Quinones, Harem Dieparine, Kirby Lim, Emmanuel Gines, Mitzi Chua, Pen Villamor, John Alfred Yap, Mylo Soriaso, and Lemuel JohnM Tonogan
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Medicine (General) ,R5-920 - Published
- 2023
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220. Novel, accurate pathogen sensors for fast detection of SARS-CoV-2 in the aerosol in seconds for a breathalyzer platform
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Xiaoling Shi, Pardis Sadeghi, Nader Lobandi, Shadi Emam, Seyed Mahdi Seyed Abrishami, Isabel Martos-Repath, Natesan Mani, Mehdi Nasrollahpour, William Sun, Stav Rones, Joshua Kwok, Harsh Shah, Joseph Charles, Zulqarnain Khan, Sheree Pagsuyoin, Akarapan Rojjanapinun, Ping Liu, Jeongmin Chae, Maxime Ferreira Da Costa, Jianxiu Li, Xin Sun, Mengdi Yang, Jiahe Li, Jennifer Dy, Jennifer Wang, Jeremy Luban, ChingWen Chang, Robert Finberg, Urbashi Mitra, Sydney Cash, Gregory Robbins, Cole Hodys, Hui Lu, Patrick Wiegand, Robert Rieger, and Nian X. Sun
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Pathogen sensors ,Biomarker ,SARS-CoV-2 ,Spike protein ,Breathalyzer ,VOC ,Biotechnology ,TP248.13-248.65 - Abstract
Rapid and accurate detection of the pathogens, such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) for COVID-19, is critical for mitigating the COVID-19 pandemic. Current state-of-the-art pathogen tests for COVID-19 diagnosis are done in a liquid medium and take 10–30 min for rapid antigen tests and hours to days for polymerase chain reaction (PCR) tests. Herein we report novel accurate pathogen sensors, a new test method, and machine-learning algorithms for a breathalyzer platform for fast detection of SARS-CoV-2 virion particles in the aerosol in 30 s. The pathogen sensors are based on a functionalized molecularly-imprinted polymer, with the template molecules being the receptor binding domain spike proteins for different variants of SARS-CoV-2. Sensors are tested in the air and exposed for 10 s to the aerosols of various types of pathogens, including wild-type, D614G, alpha, delta, and omicron variant SARS-CoV-2, BSA (Bovine serum albumin), Middle East respiratory syndrome–related coronavirus (MERS-CoV), influenza, and wastewater samples from local sewage. Our low-cost, fast-responsive pathogen sensors yield accuracy above 99% with a limit-of-detection (LOD) better than 1 copy/μL for detecting the SARS-CoV-2 virus from the aerosol. The machine-learning algorithm supporting these sensors can accurately detect the pathogens, thereby enabling a new and unique breathalyzer platform for rapid COVID-19 tests with unprecedented speeds.
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- 2023
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221. Measurement of the cosmic ray proton spectrum from 40 GeV to 100 TeV with the DAMPE satellite.
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DAMPE Collaboration, An, Q, Asfandiyarov, R, Azzarello, P, Bernardini, P, Bi, XJ, Cai, MS, Chang, J, Chen, DY, Chen, HF, Chen, JL, Chen, W, Cui, MY, Cui, TS, Dai, HT, D'Amone, A, De Benedittis, A, De Mitri, I, Di Santo, M, Ding, M, Dong, TK, Dong, YF, Dong, ZX, Donvito, G, Droz, D, Duan, JL, Duan, KK, D'Urso, D, Fan, RR, Fan, YZ, Fang, F, Feng, CQ, Feng, L, Fusco, P, Gallo, V, Gan, FJ, Gao, M, Gargano, F, Gong, K, Gong, YZ, Guo, DY, Guo, JH, Guo, XL, Han, SX, Hu, YM, Huang, GS, Huang, XY, Huang, YY, Ionica, M, Jiang, W, Jin, X, Kong, J, Lei, SJ, Li, S, Li, WL, Li, X, Li, XQ, Li, Y, Liang, YF, Liang, YM, Liao, NH, Liu, CM, Liu, H, Liu, J, Liu, SB, Liu, WQ, Liu, Y, Loparco, F, Luo, CN, Ma, M, Ma, PX, Ma, SY, Ma, T, Ma, XY, Marsella, G, Mazziotta, MN, Mo, D, Niu, XY, Pan, X, Peng, WX, Peng, XY, Qiao, R, Rao, JN, Salinas, MM, Shang, GZ, Shen, WH, Shen, ZQ, Shen, ZT, Song, JX, Su, H, Su, M, Sun, ZY, Surdo, A, Teng, XJ, Tykhonov, A, Vitillo, S, Wang, C, Wang, H, Wang, HY, and Wang, JZ
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DAMPE Collaboration ,astro-ph.HE - Abstract
The precise measurement of the spectrum of protons, the most abundant component of the cosmic radiation, is necessary to understand the source and acceleration of cosmic rays in the Milky Way. This work reports the measurement of the cosmic ray proton fluxes with kinetic energies from 40 GeV to 100 TeV, with 2 1/2 years of data recorded by the DArk Matter Particle Explorer (DAMPE). This is the first time that an experiment directly measures the cosmic ray protons up to ~100 TeV with high statistics. The measured spectrum confirms the spectral hardening at ~300 GeV found by previous experiments and reveals a softening at ~13.6 TeV, with the spectral index changing from ~2.60 to ~2.85. Our result suggests the existence of a new spectral feature of cosmic rays at energies lower than the so-called knee and sheds new light on the origin of Galactic cosmic rays.
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- 2019
222. Measurement of the cosmic ray proton spectrum from 40 GeV to 100 TeV with the DAMPE satellite
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Collaboration, DAMPE, An, Q, Asfandiyarov, R, Azzarello, P, Bernardini, P, Bi, XJ, Cai, MS, Chang, J, Chen, DY, Chen, HF, Chen, JL, Chen, W, Cui, MY, Cui, TS, Dai, HT, D’Amone, A, De Benedittis, A, De Mitri, I, Di Santo, M, Ding, M, Dong, TK, Dong, YF, Dong, ZX, Donvito, G, Droz, D, Duan, JL, Duan, KK, D’Urso, D, Fan, RR, Fan, YZ, Fang, F, Feng, CQ, Feng, L, Fusco, P, Gallo, V, Gan, FJ, Gao, M, Gargano, F, Gong, K, Gong, YZ, Guo, DY, Guo, JH, Guo, XL, Han, SX, Hu, YM, Huang, GS, Huang, XY, Huang, YY, Ionica, M, Jiang, W, Jin, X, Kong, J, Lei, SJ, Li, S, Li, WL, Li, X, Li, XQ, Li, Y, Liang, YF, Liang, YM, Liao, NH, Liu, CM, Liu, H, Liu, J, Liu, SB, Liu, WQ, Liu, Y, Loparco, F, Luo, CN, Ma, M, X., P, Y., S, Ma, T, Y., X, Marsella, G, Mazziotta, MN, Mo, D, Niu, XY, Pan, X, Peng, WX, Peng, XY, Qiao, R, Rao, JN, Salinas, MM, Shang, GZ, Shen, WH, Shen, ZQ, Shen, ZT, Song, JX, Su, H, Su, M, Sun, ZY, Surdo, A, Teng, XJ, Tykhonov, A, Vitillo, S, Wang, C, Wang, H, Wang, HY, and Wang, JZ
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Nuclear and Plasma Physics ,Particle and High Energy Physics ,Physical Sciences ,DAMPE Collaboration ,astro-ph.HE - Abstract
The precise measurement of the spectrum of protons, the most abundant component of the cosmic radiation, is necessary to understand the source and acceleration of cosmic rays in the Milky Way. This work reports the measurement of the cosmic ray proton fluxes with kinetic energies from 40 GeV to 100 TeV, with 2 1/2 years of data recorded by the DArk Matter Particle Explorer (DAMPE). This is the first time that an experiment directly measures the cosmic ray protons up to ~100 TeV with high statistics. The measured spectrum confirms the spectral hardening at ~300 GeV found by previous experiments and reveals a softening at ~13.6 TeV, with the spectral index changing from ~2.60 to ~2.85. Our result suggests the existence of a new spectral feature of cosmic rays at energies lower than the so-called knee and sheds new light on the origin of Galactic cosmic rays.
- Published
- 2019
223. Rate-Regularization and Generalization in VAEs
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Bozkurt, Alican, Esmaeili, Babak, Tristan, Jean-Baptiste, Brooks, Dana H., Dy, Jennifer G., and van de Meent, Jan-Willem
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Variational autoencoders optimize an objective that combines a reconstruction loss (the distortion) and a KL term (the rate). The rate is an upper bound on the mutual information, which is often interpreted as a regularizer that controls the degree of compression. We here examine whether inclusion of the rate also acts as an inductive bias that improves generalization. We perform rate-distortion analyses that control the strength of the rate term, the network capacity, and the difficulty of the generalization problem. Decreasing the strength of the rate paradoxically improves generalization in most settings, and reducing the mutual information typically leads to underfitting. Moreover, we show that generalization continues to improve even after the mutual information saturates, indicating that the gap on the bound (i.e. the KL divergence relative to the inference marginal) affects generalization. This suggests that the standard Gaussian prior is not an inductive bias that typically aids generalization, prompting work to understand what choices of priors improve generalization in VAEs.
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- 2019
224. Compulsory land redistribution from the perspective of the theory of price control
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Dy, Kenneth Bicol and Chau, Kwong Wing
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- 2023
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225. Flexor Tendon Repair: Avoidance and Management of Complications
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Jo, Sally and Dy, Christopher J.
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- 2023
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226. SHARING Choices: Lessons Learned from a Primary-Care Focused Advance Care Planning Intervention
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Colburn, Jessica L., Scerpella, Daniel L., Chapin, Margo, Walker, Kathryn A., Dy, Sydney M., Saylor, Martha Abshire, Sharma, Neha, Rebala, Sri, Anderson, Ryan E., McGuire, Maura, Hussain, Naaz, Rawlinson, Christine, Cotter, Valerie, Cockey, Kimberly, Wolff, Jennifer L., Smith, Kelly M., Roth, David L., Nicholson, Karyn Lee Carlson, Giovannetti, Erin Rand, Sancho, Marcella B., Echavarria, Diane, and Boyd, Cynthia M.
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- 2023
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227. Exploring factors driving macroplastic emissions of Mahiga Creek, Cebu, Philippines to the estuary
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Bardenas, Vince, Dy, Mathew Niño, Ondap, Sidney Lorenz, and Fornis, Ricardo
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- 2023
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228. Iterative Spectral Method for Alternative Clustering
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Wu, Chieh, Ioannidis, Stratis, Sznaier, Mario, Li, Xiangyu, Kaeli, David, and Dy, Jennifer G.
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Statistics - Machine Learning ,Computer Science - Machine Learning ,Statistics - Applications - Abstract
Given a dataset and an existing clustering as input, alternative clustering aims to find an alternative partition. One of the state-of-the-art approaches is Kernel Dimension Alternative Clustering (KDAC). We propose a novel Iterative Spectral Method (ISM) that greatly improves the scalability of KDAC. Our algorithm is intuitive, relies on easily implementable spectral decompositions, and comes with theoretical guarantees. Its computation time improves upon existing implementations of KDAC by as much as 5 orders of magnitude.
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- 2019
229. Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion
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Wu, Chieh, Miller, Jared, Chang, Yale, Sznaier, Mario, and Dy, Jennifer
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Statistics - Machine Learning ,Computer Science - Machine Learning ,Statistics - Applications ,Statistics - Computation - Abstract
The Hilbert Schmidt Independence Criterion (HSIC) is a kernel dependence measure that has applications in various aspects of machine learning. Conveniently, the objectives of different dimensionality reduction applications using HSIC often reduce to the same optimization problem. However, the nonconvexity of the objective function arising from non-linear kernels poses a serious challenge to optimization efficiency and limits the potential of HSIC-based formulations. As a result, only linear kernels have been computationally tractable in practice. This paper proposes a spectral-based optimization algorithm that extends beyond the linear kernel. The algorithm identifies a family of suitable kernels and provides the first and second-order local guarantees when a fixed point is reached. Furthermore, we propose a principled initialization strategy, thereby removing the need to repeat the algorithm at random initialization points. Compared to state-of-the-art optimization algorithms, our empirical results on real data show a run-time improvement by as much as a factor of $10^5$ while consistently achieving lower cost and classification/clustering errors. The implementation source code is publicly available on https://github.com/endsley., Comment: arXiv admin note: substantial text overlap with arXiv:1909.03093
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- 2019
230. Solving Interpretable Kernel Dimension Reduction
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Wu, Chieh, Miller, Jared, Chang, Yale, Sznaier, Mario, and Dy, Jennifer
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Statistics - Machine Learning ,Computer Science - Machine Learning - Abstract
Kernel dimensionality reduction (KDR) algorithms find a low dimensional representation of the original data by optimizing kernel dependency measures that are capable of capturing nonlinear relationships. The standard strategy is to first map the data into a high dimensional feature space using kernels prior to a projection onto a low dimensional space. While KDR methods can be easily solved by keeping the most dominant eigenvectors of the kernel matrix, its features are no longer easy to interpret. Alternatively, Interpretable KDR (IKDR) is different in that it projects onto a subspace \textit{before} the kernel feature mapping, therefore, the projection matrix can indicate how the original features linearly combine to form the new features. Unfortunately, the IKDR objective requires a non-convex manifold optimization that is difficult to solve and can no longer be solved by eigendecomposition. Recently, an efficient iterative spectral (eigendecomposition) method (ISM) has been proposed for this objective in the context of alternative clustering. However, ISM only provides theoretical guarantees for the Gaussian kernel. This greatly constrains ISM's usage since any kernel method using ISM is now limited to a single kernel. This work extends the theoretical guarantees of ISM to an entire family of kernels, thereby empowering ISM to solve any kernel method of the same objective. In identifying this family, we prove that each kernel within the family has a surrogate $\Phi$ matrix and the optimal projection is formed by its most dominant eigenvectors. With this extension, we establish how a wide range of IKDR applications across different learning paradigms can be solved by ISM. To support reproducible results, the source code is made publicly available on \url{https://github.com/chieh-neu/ISM_supervised_DR}., Comment: Accepted to NeurIPS 2019
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- 2019
231. Deep Kernel Learning for Clustering
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Wu, Chieh, Khan, Zulqarnain, Chang, Yale, Ioannidis, Stratis, and Dy, Jennifer
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
We propose a deep learning approach for discovering kernels tailored to identifying clusters over sample data. Our neural network produces sample embeddings that are motivated by--and are at least as expressive as--spectral clustering. Our training objective, based on the Hilbert Schmidt Information Criterion, can be optimized via gradient adaptations on the Stiefel manifold, leading to significant acceleration over spectral methods relying on eigendecompositions. Finally, our trained embedding can be directly applied to out-of-sample data. We show experimentally that our approach outperforms several state-of-the-art deep clustering methods, as well as traditional approaches such as $k$-means and spectral clustering over a broad array of real-life and synthetic datasets.
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- 2019
232. Neural Topographic Factor Analysis for fMRI Data
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Sennesh, Eli, Khan, Zulqarnain, Wang, Yiyu, Dy, Jennifer, Satpute, Ajay B., Hutchinson, J. Benjamin, and van de Meent, Jan-Willem
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Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Image and Video Processing ,Statistics - Machine Learning - Abstract
Neuroimaging studies produce gigabytes of spatio-temporal data for a small number of participants and stimuli. Rarely do researchers attempt to model and examine how individual participants vary from each other -- a question that should be addressable even in small samples given the right statistical tools. We propose Neural Topographic Factor Analysis (NTFA), a probabilistic factor analysis model that infers embeddings for participants and stimuli. These embeddings allow us to reason about differences between participants and stimuli as signal rather than noise. We evaluate NTFA on data from an in-house pilot experiment, as well as two publicly available datasets. We demonstrate that inferring representations for participants and stimuli improves predictive generalization to unseen data when compared to previous topographic methods. We also demonstrate that the inferred latent factor representations are useful for downstream tasks such as multivoxel pattern analysis and functional connectivity., Comment: 15 pages, 9 figures, associated source code available at https://github.com/neu-spiral/HTFATorch
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- 2019
233. Streaming Adaptive Nonparametric Variational Autoencoder
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Zhao, Tingting, Wang, Zifeng, Masoomi, Aria, and Dy, Jennifer G.
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Statistics - Machine Learning ,Computer Science - Machine Learning - Abstract
We develop a data driven approach to perform clustering and end-to-end feature learning simultaneously for streaming data that can adaptively detect novel clusters in emerging data. Our approach, Adaptive Nonparametric Variational Autoencoder (AdapVAE), learns the cluster membership through a Bayesian Nonparametric (BNP) modeling framework with Deep Neural Networks (DNNs) for feature learning. We develop a joint online variational inference algorithm to learn feature representations and clustering assignments simultaneously via iteratively optimizing the Evidence Lower Bound (ELBO). We resolve the catastrophic forgetting \citep{kirkpatrick2017overcoming} challenges with streaming data by adopting generative samples from the trained AdapVAE using previous data, which avoids the need of storing and reusing past data. We demonstrate the advantages of our model including adaptive novel cluster detection without discarding useful information learned from past data, high quality sample generation and comparable clustering performance as end-to-end batch mode clustering methods on both image and text corpora benchmark datasets.
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- 2019
234. Future Considerations in the Diagnosis and Treatment of Compressive Neuropathies of the Upper Extremity
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Graesser, Elizabeth A., Dy, Christopher J., and Brogan, David M.
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- 2023
- Full Text
- View/download PDF
235. Accelerated Experimental Design for Pairwise Comparisons
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Guo, Yuan, Dy, Jennifer, Erdogmus, Deniz, Kalpathy-Cramer, Jayashree, Ostmo, Susan, Campbell, J. Peter, Chiang, Michael F., and Ioannidis, Stratis
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Computer Science - Data Structures and Algorithms ,Computer Science - Machine Learning - Abstract
Pairwise comparison labels are more informative and less variable than class labels, but generating them poses a challenge: their number grows quadratically in the dataset size. We study a natural experimental design objective, namely, D-optimality, that can be used to identify which $K$ pairwise comparisons to generate. This objective is known to perform well in practice, and is submodular, making the selection approximable via the greedy algorithm. A na\"ive greedy implementation has $O(N^2d^2K)$ complexity, where $N$ is the dataset size, $d$ is the feature space dimension, and $K$ is the number of generated comparisons. We show that, by exploiting the inherent geometry of the dataset--namely, that it consists of pairwise comparisons--the greedy algorithm's complexity can be reduced to $O(N^2(K+d)+N(dK+d^2) +d^2K).$ We apply the same acceleration also to the so-called lazy greedy algorithm. When combined, the above improvements lead to an execution time of less than 1 hour for a dataset with $10^8$ comparisons; the na\"ive greedy algorithm on the same dataset would require more than 10 days to terminate.
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- 2019
236. Survival Benefit of Perioperative Systemic Chemotherapy for Patients With N0 to N1 NSCLC Having Synchronous Brain Metastasis
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Vedire, Yeshwanth R., Shin, Sarah, Groman, Adrienne, Hennon, Mark, Dy, Grace K., and Yendamuri, Sai
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- 2023
- Full Text
- View/download PDF
237. Sharing Health Care Wishes in Primary Care (SHARE) among older adults with possible cognitive impairment in primary care: Study protocol for a randomized controlled trial
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Wolff, Jennifer L., Cagle, John, Echavarria, Diane, Dy, Sydney M., Giovannetti, Erin R., Boyd, Cynthia M., Hanna, Valecia, Hussain, Naaz, Reiff, Jenni S., Scerpella, Danny, Zhang, Talan, and Roth, David L.
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- 2023
- Full Text
- View/download PDF
238. Genetic study of early-onset Parkinson's disease in the Malaysian population
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Tay, Yi Wen, Tan, Ai Huey, Lim, Jia Lun, Lohmann, Katja, Ibrahim, Khairul Azmi, Abdul Aziz, Zariah, Chin, Yen Theng, Mawardi, Ahmad Shahir, Lim, Thien Thien, Looi, Irene, Chia, Yuen Kang, Ooi, Joshua Chin Ern, Cheah, Wee Kooi, Dy Closas, Alfand Marl F., Lit, Lei Cheng, Hor, Jia Wei, Toh, Tzi Shin, Muthusamy, Kalai Arasu, Bauer, Peter, Skrahin, Volha, Rolfs, Arndt, Klein, Christine, Ahmad-Annuar, Azlina, and Lim, Shen-Yang
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- 2023
- Full Text
- View/download PDF
239. The LUX-ZEPLIN (LZ) radioactivity and cleanliness control programs
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Akerib, DS, Akerlof, CW, Akimov, DY, Alquahtani, A, Alsum, SK, Anderson, TJ, Angelides, N, Araújo, HM, Arbuckle, A, Armstrong, JE, Arthurs, M, Auyeung, H, Aviles, S, Bai, X, Bailey, AJ, Balajthy, J, Balashov, S, Bang, J, Barry, MJ, Bauer, D, Bauer, P, Baxter, A, Belle, J, Beltrame, P, Bensinger, J, Benson, T, Bernard, EP, Bernstein, A, Bhatti, A, Biekert, A, Biesiadzinski, TP, Birch, HJ, Birrittella, B, Boast, KE, Bolozdynya, AI, Boulton, EM, Boxer, B, Bramante, R, Branson, S, Brás, P, Breidenbach, M, Brew, CAJ, Buckley, JH, Bugaev, VV, Bunker, R, Burdin, S, Busenitz, JK, Cabrita, R, Campbell, JS, Carels, C, Carlsmith, DL, Carlson, B, Carmona-Benitez, MC, Cascella, M, Chan, C, Cherwinka, JJ, Chiller, AA, Chiller, C, Chott, NI, Cole, A, Coleman, J, Colling, D, Conley, RA, Cottle, A, Coughlen, R, Cox, G, Craddock, WW, Curran, D, Currie, A, Cutter, JE, da Cunha, JP, Dahl, CE, Dardin, S, Dasu, S, Davis, J, Davison, TJR, de Viveiros, L, Decheine, N, Dobi, A, Dobson, JEY, Druszkiewicz, E, Dushkin, A, Edberg, TK, Edwards, WR, Edwards, BN, Edwards, J, Elnimr, MM, Emmet, WT, Eriksen, SR, Faham, CH, Fan, A, Fayer, S, Fiorucci, S, Flaecher, H, Florang, IMF, Ford, P, Francis, VB, Fraser, ED, Froborg, F, and Fruth, T
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physics.ins-det ,hep-ex ,Nuclear & Particles Physics ,Atomic ,Molecular ,Nuclear ,Particle and Plasma Physics ,Quantum Physics - Abstract
LUX-ZEPLIN (LZ) is a second-generation direct dark matter experiment with spin-independent WIMP-nucleon scattering sensitivity above 1.4×10-48cm2 for a WIMP mass of 40GeV/c2 and a 1000days exposure. LZ achieves this sensitivity through a combination of a large 5.6t fiducial volume, active inner and outer veto systems, and radio-pure construction using materials with inherently low radioactivity content. The LZ collaboration performed an extensive radioassay campaign over a period of six years to inform material selection for construction and provide an input to the experimental background model against which any possible signal excess may be evaluated. The campaign and its results are described in this paper. We present assays of dust and radon daughters depositing on the surface of components as well as cleanliness controls necessary to maintain background expectations through detector construction and assembly. Finally, examples from the campaign to highlight fixed contaminant radioassays for the LZ photomultiplier tubes, quality control and quality assurance procedures through fabrication, radon emanation measurements of major sub-systems, and bespoke detector systems to assay scintillator are presented.
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- 2020
240. KRASG12C Inhibition with Sotorasib in Advanced Solid Tumors
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Hong, David S, Fakih, Marwan G, Strickler, John H, Desai, Jayesh, Durm, Gregory A, Shapiro, Geoffrey I, Falchook, Gerald S, Price, Timothy J, Sacher, Adrian, Denlinger, Crystal S, Bang, Yung-Jue, Dy, Grace K, Krauss, John C, Kuboki, Yasutoshi, Kuo, James C, Coveler, Andrew L, Park, Keunchil, Kim, Tae Won, Barlesi, Fabrice, Munster, Pamela N, Ramalingam, Suresh S, Burns, Timothy F, Meric-Bernstam, Funda, Henary, Haby, Ngang, Jude, Ngarmchamnanrith, Gataree, Kim, June, Houk, Brett E, Canon, Jude, Lipford, J Russell, Friberg, Gregory, Lito, Piro, Govindan, Ramaswamy, and Li, Bob T
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Clinical Research ,Lung ,Colo-Rectal Cancer ,Lung Cancer ,Cancer ,Digestive Diseases ,5.1 Pharmaceuticals ,6.1 Pharmaceuticals ,Development of treatments and therapeutic interventions ,Evaluation of treatments and therapeutic interventions ,Aged ,Antineoplastic Agents ,Carcinoma ,Non-Small-Cell Lung ,Colorectal Neoplasms ,Dose-Response Relationship ,Drug ,Female ,Humans ,Lung Neoplasms ,Male ,Middle Aged ,Mutation ,Neoplasms ,Piperazines ,Proto-Oncogene Proteins p21(ras) ,Pyridines ,Pyrimidines ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundNo therapies for targeting KRAS mutations in cancer have been approved. The KRAS p.G12C mutation occurs in 13% of non-small-cell lung cancers (NSCLCs) and in 1 to 3% of colorectal cancers and other cancers. Sotorasib is a small molecule that selectively and irreversibly targets KRASG12C.MethodsWe conducted a phase 1 trial of sotorasib in patients with advanced solid tumors harboring the KRAS p.G12C mutation. Patients received sotorasib orally once daily. The primary end point was safety. Key secondary end points were pharmacokinetics and objective response, as assessed according to Response Evaluation Criteria in Solid Tumors (RECIST), version 1.1.ResultsA total of 129 patients (59 with NSCLC, 42 with colorectal cancer, and 28 with other tumors) were included in dose escalation and expansion cohorts. Patients had received a median of 3 (range, 0 to 11) previous lines of anticancer therapies for metastatic disease. No dose-limiting toxic effects or treatment-related deaths were observed. A total of 73 patients (56.6%) had treatment-related adverse events; 15 patients (11.6%) had grade 3 or 4 events. In the subgroup with NSCLC, 32.2% (19 patients) had a confirmed objective response (complete or partial response) and 88.1% (52 patients) had disease control (objective response or stable disease); the median progression-free survival was 6.3 months (range, 0.0+ to 14.9 [with + indicating that the value includes patient data that were censored at data cutoff]). In the subgroup with colorectal cancer, 7.1% (3 patients) had a confirmed response, and 73.8% (31 patients) had disease control; the median progression-free survival was 4.0 months (range, 0.0+ to 11.1+). Responses were also observed in patients with pancreatic, endometrial, and appendiceal cancers and melanoma.ConclusionsSotorasib showed encouraging anticancer activity in patients with heavily pretreated advanced solid tumors harboring the KRAS p.G12C mutation. Grade 3 or 4 treatment-related toxic effects occurred in 11.6% of the patients. (Funded by Amgen and others; CodeBreaK100 ClinicalTrials.gov number, NCT03600883.).
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- 2020
241. Efficacy of Selpercatinib in RET Fusion–Positive Non–Small-Cell Lung Cancer
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Drilon, Alexander, Oxnard, Geoffrey R, Tan, Daniel SW, Loong, Herbert HF, Johnson, Melissa, Gainor, Justin, McCoach, Caroline E, Gautschi, Oliver, Besse, Benjamin, Cho, Byoung C, Peled, Nir, Weiss, Jared, Kim, Yu-Jung, Ohe, Yuichiro, Nishio, Makoto, Park, Keunchil, Patel, Jyoti, Seto, Takashi, Sakamoto, Tomohiro, Rosen, Ezra, Shah, Manisha H, Barlesi, Fabrice, Cassier, Philippe A, Bazhenova, Lyudmila, De Braud, Filippo, Garralda, Elena, Velcheti, Vamsidhar, Satouchi, Miyako, Ohashi, Kadoaki, Pennell, Nathan A, Reckamp, Karen L, Dy, Grace K, Wolf, Jürgen, Solomon, Benjamin, Falchook, Gerald, Ebata, Kevin, Nguyen, Michele, Nair, Binoj, Zhu, Edward Y, Yang, Luxi, Huang, Xin, Olek, Elizabeth, Rothenberg, S Michael, Goto, Koichi, and Subbiah, Vivek
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Lung Cancer ,Clinical Research ,Lung ,Cancer ,Adult ,Aged ,Aged ,80 and over ,Carcinoma ,Non-Small-Cell Lung ,Female ,Humans ,Hypertension ,Intention to Treat Analysis ,Lung Neoplasms ,Male ,Middle Aged ,Mutation ,Progression-Free Survival ,Protein Kinase Inhibitors ,Proto-Oncogene Proteins c-ret ,Pyrazoles ,Pyridines ,Transaminases ,Treatment Outcome ,Young Adult ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundRET fusions are oncogenic drivers in 1 to 2% of non-small-cell lung cancers (NSCLCs). In patients with RET fusion-positive NSCLC, the efficacy and safety of selective RET inhibition are unknown.MethodsWe enrolled patients with advanced RET fusion-positive NSCLC who had previously received platinum-based chemotherapy and those who were previously untreated separately in a phase 1-2 trial of selpercatinib. The primary end point was an objective response (a complete or partial response) as determined by an independent review committee. Secondary end points included the duration of response, progression-free survival, and safety.ResultsIn the first 105 consecutively enrolled patients with RET fusion-positive NSCLC who had previously received at least platinum-based chemotherapy, the percentage with an objective response was 64% (95% confidence interval [CI], 54 to 73). The median duration of response was 17.5 months (95% CI, 12.0 to could not be evaluated), and 63% of the responses were ongoing at a median follow-up of 12.1 months. Among 39 previously untreated patients, the percentage with an objective response was 85% (95% CI, 70 to 94), and 90% of the responses were ongoing at 6 months. Among 11 patients with measurable central nervous system metastasis at enrollment, the percentage with an objective intracranial response was 91% (95% CI, 59 to 100). The most common adverse events of grade 3 or higher were hypertension (in 14% of the patients), an increased alanine aminotransferase level (in 12%), an increased aspartate aminotransferase level (in 10%), hyponatremia (in 6%), and lymphopenia (in 6%). A total of 12 of 531 patients (2%) discontinued selpercatinib because of a drug-related adverse event.ConclusionsSelpercatinib had durable efficacy, including intracranial activity, with mainly low-grade toxic effects in patients with RET fusion-positive NSCLC who had previously received platinum-based chemotherapy and those who were previously untreated. (Funded by Loxo Oncology and others; LIBRETTO-001 ClinicalTrials.gov number, NCT03157128.).
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- 2020
242. Comment on "cO2Utilization Feasibility Study: Dimethyl Carbonate Direct Synthesis Process with Dehydration Reactive Distillation"
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Redeker, DC, Jiang, DY, Kullar, JS, Leung, V, Palazoglu, A, and Ellis, MJ
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Chemical Sciences ,Engineering ,Chemical Engineering - Published
- 2020
243. Comparison of GW band structure to semiempirical approach for an FeSe monolayer
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Qiu, DY, Coh, S, Cohen, ML, and Louie, SG
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cond-mat.mtrl-sci - Abstract
We present the G0W0 band structure, core levels, and deformation potential of monolayer FeSe in the paramagnetic phase based on a starting mean field of the Kohn-Sham density functional theory (DFT) with the Perdew, Burke, and Ernzerhof functional. We find the GW correction increases the bandwidth of the states forming the M pocket near the Fermi energy, while leaving the Γ pocket roughly unchanged. We then compare the G0W0 quasiparticle band energies with the band structure from a simple empirical +A approach, which was recently proposed to capture the renormalization of the electron-phonon interaction going beyond DFT in FeSe, when used as a starting point in density functional perturbation theory. We show that this empirical correction succeeds in approximating the GW nonlocal and dynamical self-energy in monolayer FeSe and reproduces the GW band structure near the Fermi surface, the core energy levels, and the deformation potential (electron-phonon coupling).
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- 2020
244. Machine Learning Characterization of COPD Subtypes Insights From the COPDGene Study
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Castaldi, Peter J, Boueiz, Adel, Yun, Jeong, San Jose Estepar, Raul, Ross, James C, Washko, George, Cho, Michael H, Hersh, Craig P, Kinney, Gregory L, Young, Kendra A, Regan, Elizabeth A, Lynch, David A, Criner, Gerald J, Dy, Jennifer G, Rennard, Stephen I, Casaburi, Richard, Make, Barry J, Crapo, James, Silverman, Edwin K, Hokanson, John E, Crapo, James D, Beaty, Terri, Begum, Ferdouse, Cho, Michael, DeMeo, Dawn L, Boueiz, Adel R, Foreman, Marilyn G, Halper-Stromberg, Eitan, Hayden, Lystra P, Hetmanski, Jacqueline, Hobbs, Brian D, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Parker, Margaret M, Prokopenko, Dmitry, Qiao, Dandi, Regan, Elizabeth, Sakornsakolpat, Phuwanat, Wan, Emily S, Won, Sungho, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O, Galban, Craig J, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Nardelli, Pietro, Newell, John D, Notary, Aleena, Oh, Andrea, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R, Wilson, Carla G, Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Kinney, Gregory, Bhatt, Surya P, Bon, Jessica, Diaz, Alejandro A, Make, Barry, Murray, Susan, Soler, Xavier, Bowler, Russell P, and Kechris, Katerina
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Sciences ,Genetics ,Chronic Obstructive Pulmonary Disease ,Lung ,2.1 Biological and endogenous factors ,Aetiology ,Respiratory ,Cluster Analysis ,Diagnostic Imaging ,Disease Progression ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Machine Learning ,Molecular Epidemiology ,Phenotype ,Pulmonary Disease ,Chronic Obstructive ,Respiratory Function Tests ,COPD ,emphysema ,machine learning ,COPDGene Investigators ,Respiratory System ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
COPD is a heterogeneous syndrome. Many COPD subtypes have been proposed, but there is not yet consensus on how many COPD subtypes there are and how they should be defined. The COPD Genetic Epidemiology Study (COPDGene), which has generated 10-year longitudinal chest imaging, spirometry, and molecular data, is a rich resource for relating COPD phenotypes to underlying genetic and molecular mechanisms. In this article, we place COPDGene clustering studies in context with other highly cited COPD clustering studies, and summarize the main COPD subtype findings from COPDGene. First, most manifestations of COPD occur along a continuum, which explains why continuous aspects of COPD or disease axes may be more accurate and reproducible than subtypes identified through clustering methods. Second, continuous COPD-related measures can be used to create subgroups through the use of predictive models to define cut-points, and we review COPDGene research on blood eosinophil count thresholds as a specific example. Third, COPD phenotypes identified or prioritized through machine learning methods have led to novel biological discoveries, including novel emphysema genetic risk variants and systemic inflammatory subtypes of COPD. Fourth, trajectory-based COPD subtyping captures differences in the longitudinal evolution of COPD, addressing a major limitation of clustering analyses that are confounded by disease severity. Ongoing longitudinal characterization of subjects in COPDGene will provide useful insights about the relationship between lung imaging parameters, molecular markers, and COPD progression that will enable the identification of subtypes based on underlying disease processes and distinct patterns of disease progression, with the potential to improve the clinical relevance and reproducibility of COPD subtypes.
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- 2020
245. Retraction Note: An apoptosis-enhancing drug overcomes platinum resistance in a tumour-initiating subpopulation of ovarian cancer.
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Janzen, DM, Tiourin, E, Salehi, JA, Paik, DY, Lu, J, Pellegrini, M, and Memarzadeh, S
- Abstract
This Article has been retracted; see accompanying Retraction Note.
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- 2020
246. The LUX-ZEPLIN (LZ) experiment
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Akerib, DS, Akerlof, CW, Akimov, DY, Alquahtani, A, Alsum, SK, Anderson, TJ, Angelides, N, Araújo, HM, Arbuckle, A, Armstrong, JE, Arthurs, M, Auyeung, H, Bai, X, Bailey, AJ, Balajthy, J, Balashov, S, Bang, J, Barry, MJ, Barthel, J, Bauer, D, Bauer, P, Baxter, A, Belle, J, Beltrame, P, Bensinger, J, Benson, T, Bernard, EP, Bernstein, A, Bhatti, A, Biekert, A, Biesiadzinski, TP, Birrittella, B, Boast, KE, Bolozdynya, AI, Boulton, EM, Boxer, B, Bramante, R, Branson, S, Brás, P, Breidenbach, M, Buckley, JH, Bugaev, VV, Bunker, R, Burdin, S, Busenitz, JK, Campbell, JS, Carels, C, Carlsmith, DL, Carlson, B, Carmona-Benitez, MC, Cascella, M, Chan, C, Cherwinka, JJ, Chiller, AA, Chiller, C, Chott, NI, Cole, A, Coleman, J, Colling, D, Conley, RA, Cottle, A, Coughlen, R, Craddock, WW, Curran, D, Currie, A, Cutter, JE, da Cunha, JP, Dahl, CE, Dardin, S, Dasu, S, Davis, J, Davison, TJR, de Viveiros, L, Decheine, N, Dobi, A, Dobson, JEY, Druszkiewicz, E, Dushkin, A, Edberg, TK, Edwards, WR, Edwards, BN, Edwards, J, Elnimr, MM, Emmet, WT, Eriksen, SR, Faham, CH, Fan, A, Fayer, S, Fiorucci, S, Flaecher, H, Fogarty Florang, IM, Ford, P, Francis, VB, Froborg, F, Fruth, T, Gaitskell, RJ, Gantos, NJ, Garcia, D, Geffre, A, and Gehman, VM
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Dark matter detector ,Liquid xenon ,Time projection chamber ,Underground ,physics.ins-det ,astro-ph.IM ,hep-ex ,Nuclear & Particles Physics ,Astronomical and Space Sciences ,Atomic ,Molecular ,Nuclear ,Particle and Plasma Physics ,Other Physical Sciences - Abstract
We describe the design and assembly of the LUX-ZEPLIN experiment, a direct detection search for cosmic WIMP dark matter particles. The centerpiece of the experiment is a large liquid xenon time projection chamber sensitive to low energy nuclear recoils. Rejection of backgrounds is enhanced by a Xe skin veto detector and by a liquid scintillator Outer Detector loaded with gadolinium for efficient neutron capture and tagging. LZ is located in the Davis Cavern at the 4850’ level of the Sanford Underground Research Facility in Lead, South Dakota, USA. We describe the major subsystems of the experiment and its key design features and requirements.
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- 2020
247. A sustainable sulfur-carbonaceous composite electrode toward high specific energy rechargeable cells
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Hwa, Y, Kim, HW, Shen, H, Parkinson, DY, McCloskey, BD, and Cairns, EJ
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Macromolecular and Materials Chemistry ,Chemical Engineering ,Materials Engineering - Abstract
The micrometer-scale reticulated structure of highly sulfur-philic nitrogen-doped graphene oxide (NrGO) that is achieved by chemically controlling the nitrogen-doping degree improves the chemical and electrochemical stability of the active sulfur while providing sufficient sulfur/electrolyte interface for a facile electrochemical process so that a high specific energy of 325 W h kg-1 can be achieved.
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- 2020
248. All-Solid-State Batteries Using Rationally Designed Garnet Electrolyte Frameworks
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Yi, E, Shen, H, Heywood, S, Alvarado, J, Parkinson, DY, Chen, G, Sofie, SW, and Doeff, MM
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solid-state battery ,solid electrolyte ,freeze-tape-casting ,tape-casting ,LLZO garnet - Abstract
Functioning bulk-type all-solid-state batteries in a practical form factor with composite positive electrodes, using Al-substituted Li7La3Zr2O12 (LLZO) as the solid electrolyte, have been demonstrated for the first time. The devices incorporate bilayers composed of dense LLZO membranes and porous LLZO scaffolds infiltrated with LiNi0.6Mn0.2Co0.2O2 and other components as positive electrodes, combined with lithium anodes. The porous scaffolds are prepared using an easily scaled freeze-tape-casting method. The unidirectional pores of the scaffold facilitate infiltration of cathode components and shorten lithium ion diffusion path lengths, while the addition of a soft ionically conductive solid to the scaffold ensures good contact among the components.
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- 2020
249. Preferential Stripping of a Lithium Protrusion Resulting in Recovery of a Planar Electrode
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Maslyn, JA, Mcentush, KD, Harry, KJ, Frenck, L, Loo, WS, Parkinson, DY, and Balsara, NP
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Energy ,Macromolecular and Materials Chemistry ,Physical Chemistry ,Materials Engineering ,Physical Chemistry (incl. Structural) - Abstract
Lithium metal is a high-energy-density battery electrode material, but the largely irreversible growth of lithium protrusions on an initially planar electrode during cycling makes it unsuitable for incorporation into a commercial battery. In this study, a lithium electrode with globular protrusions was stripped electrochemically, and the local morphology of the electrode as a function of time was determined by hard X-ray tomography. We demonstrate that globules are preferentially stripped compared to a planar electrode in our system, which incorporates a nanostructured block copolymer electrolyte. We report current density at the electrode as a function of micron-scale position and time. The local current density during the electrode healing process calculated from a reference frame at the electrode/electrolyte interface provides insight into the driving forces responsible for selective stripping of the globule. These results imply the possibility of discharging protocols that may return a lithium electrode to its initial planar state.
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- 2020
250. Lithium-Sulfur Batteries with a Block Copolymer Electrolyte Analyzed by X-ray Microtomography
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Devaux, D, Villaluenga, I, Jiang, X, Chang, YH, Parkinson, DY, and Balsara, NP
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Energy ,Macromolecular and Materials Chemistry ,Physical Chemistry ,Materials Engineering ,Physical Chemistry (incl. Structural) - Abstract
Most of the work on Lithium-sulfur (LiS) batteries use liquid electrolytes that have limited stability when coupled with Li metal anodes. We have studied LiS batteries with a solid block copolymer electrolyte which exhibits improved stability against Li anodes. The electrolyte comprises a polystyrene-b-poly(ethylene oxide) (SEO) copolymer doped with a Li salt. Hollow carbon nanospheres impregnated with sulfur were used to build a composite cathode. Two types of sulfur-impregnated functionalized carbon nanospheres were used: One with carboxylic acid groups and the other with short lithium poly(4-styrenesulfonyl(trifluoromethylsulfonyl)imide) (PSTFSI-Li) chains. Cells with Li2S8 dissolved in the SEO based electrolyte served as the baseline. After cycling, the reason for capacity fade was determined by imaging the batteries using synchrotron hard X-ray microtomography. It is generally assumed that LiS cells fail due to dissolution of polysulfide into the liquid electrolyte, i.e., the main problems related to the cathode. In our all-solid cells, failure was primarily due to delamination of the Li foil from the polymer electrolyte layer. Delamination is also observed at the sulfur cathode. It is likely that the large changes in volume of the active materials during cycling induce delamination in all-solid LiS cells.
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- 2020
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