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Institution

Yonsei University

EducationSeoul, South Korea
About: Yonsei University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Cancer. The organization has 50162 authors who have published 106172 publications receiving 2279044 citations. The organization is also known as: Yonsei.
Topics: Population, Cancer, Medicine, Thin film, Breast cancer


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors model the firm's decision to invest in liquid assets when external financing is costly, and the optimal amount of liquidity is determined by a tradeoff between the low return earned on liquid assets and the benefit of minimizing the need for costly external financing.
Abstract: We model the firm's decision to invest in liquid assets when external financing is costly. The optimal amount of liquidity is determined by a tradeoff between the low return earned on liquid assets and the benefit of minimizing the need for costly external financing. The model predicts that the optimal investment in liquidity is increasing in the cost of external financing, the variance of future cash flows, and the return on future investment opportunities, while it is decreasing in the return differential between the firm's physical assets and liquid assets. Empirical tests on a large panel of U.S. industrial firms support the model's predictions.

1,236 citations

Journal ArticleDOI
TL;DR: The Spectroscopic Imaging Survey in the near-infrared (near-IR) with SINFONI (SINS) of high-redshift galaxies is presented in this article.
Abstract: We present the Spectroscopic Imaging survey in the near-infrared (near-IR) with SINFONI (SINS) of high-redshift galaxies. With 80 objects observed and 63 detected in at least one rest-frame optical nebular emission line, mainly Hα, SINS represents the largest survey of spatially resolved gas kinematics, morphologies, and physical properties of star-forming galaxies at z ~ 1-3. We describe the selection of the targets, the observations, and the data reduction. We then focus on the "SINS Hα sample," consisting of 62 rest-UV/optically selected sources at 1.3 < z < 2.6 for which we targeted primarily the Hα and [N II] emission lines. Only ≈30% of this sample had previous near-IR spectroscopic observations. The galaxies were drawn from various imaging surveys with different photometric criteria; as a whole, the SINS Hα sample covers a reasonable representation of massive M_* ≳ 10^(10) M_☉ star-forming galaxies at z ≈ 1.5-2.5, with some bias toward bluer systems compared to pure K-selected samples due to the requirement of secure optical redshift. The sample spans 2 orders of magnitude in stellar mass and in absolute and specific star formation rates, with median values ≈3 × 10^(10) M_☉, ≈70 M_☉ yr^(–1), and ≈3 Gyr^(–1). The ionized gas distribution and kinematics are spatially resolved on scales ranging from ≈1.5 kpc for adaptive optics assisted observations to typically ≈4-5 kpc for seeing-limited data. The Hα morphologies tend to be irregular and/or clumpy. About one-third of the SINS Hα sample galaxies are rotation-dominated yet turbulent disks, another one-third comprises compact and velocity dispersion-dominated objects, and the remaining galaxies are clear interacting/merging systems; the fraction of rotation-dominated systems increases among the more massive part of the sample. The Hα luminosities and equivalent widths suggest on average roughly twice higher dust attenuation toward the H II regions relative to the bulk of the stars, and comparable current and past-averaged star formation rates.

1,219 citations

Journal ArticleDOI
TL;DR: Experimental results show that the AOA provides very promising results in solving challenging optimization problems compared with eleven other well-known optimization algorithms.

1,218 citations

Journal ArticleDOI
Tomi Akinyemiju1, Semaw Ferede Abera2, Semaw Ferede Abera3, Muktar Beshir Ahmed4, Noore Alam5, Noore Alam6, Mulubirhan Assefa Alemayohu7, Christine Allen8, Rajaa Al-Raddadi, Nelson Alvis-Guzman9, Yaw Ampem Amoako10, Al Artaman11, Tadesse Awoke Ayele12, Aleksandra Barac, Isabela M. Benseñor13, Adugnaw Berhane2, Zulfiqar A Bhutta14, Jacqueline Castillo-Rivas, Abdulaal A Chitheer, Jee-Young Choi15, Benjamin C Cowie, Lalit Dandona8, Lalit Dandona16, Rakhi Dandona8, Rakhi Dandona16, Subhojit Dey, Daniel Dicker8, Huyen Do Phuc17, Donatus U. Ekwueme18, Maysaa El Sayed Zaki, Florian Fischer19, Thomas Fürst20, Thomas Fürst21, Thomas Fürst22, Jamie Hancock8, Simon I. Hay8, Peter J. Hotez23, Peter J. Hotez24, Sun Ha Jee25, Amir Kasaeian26, Yousef Khader27, Young-Ho Khang15, G Anil Kumar16, Michael Kutz8, Heidi J. Larson28, Alan D. Lopez29, Alan D. Lopez8, Raimundas Lunevicius30, Raimundas Lunevicius31, Reza Malekzadeh26, Colm McAlinden, Toni Meier32, Walter Mendoza33, Ali H. Mokdad8, Maziar Moradi-Lakeh34, Gabriele Nagel35, Quyen Nguyen17, Grant Nguyen8, Felix Akpojene Ogbo36, George C Patton29, David M. Pereira37, Farshad Pourmalek38, Mostafa Qorbani, Amir Radfar39, Gholamreza Roshandel40, Joshua A. Salomon41, Juan Sanabria42, Juan Sanabria43, Benn Sartorius44, Maheswar Satpathy45, Maheswar Satpathy46, Monika Sawhney42, Sadaf G. Sepanlou26, Katya Anne Shackelford8, Hirbo Shore47, Jiandong Sun48, Desalegn Tadese Mengistu7, Roman Topór-Mądry49, Roman Topór-Mądry50, Bach Xuan Tran51, Bach Xuan Tran52, Kingsley N. Ukwaja, Vasiliy Victorovich Vlassov53, Stein Emil Vollset54, Stein Emil Vollset55, Theo Vos8, Tolassa Wakayo4, Elisabete Weiderpass56, Elisabete Weiderpass57, Andrea Werdecker, Naohiro Yonemoto58, Mustafa Z. Younis41, Mustafa Z. Younis59, Chuanhua Yu60, Zoubida Zaidi, Liguo Zhu18, Christopher J L Murray8, Mohsen Naghavi8, Christina Fitzmaurice61, Christina Fitzmaurice8 
University of Alabama at Birmingham1, College of Health Sciences, Bahrain2, University of Hohenheim3, Jimma University4, Queensland Government5, University of Queensland6, Mekelle University7, Institute for Health Metrics and Evaluation8, University of Cartagena9, Komfo Anokye Teaching Hospital10, University of Manitoba11, University of Gondar12, University of São Paulo13, Aga Khan University14, New Generation University College15, Public Health Foundation of India16, Duy Tan University17, Centers for Disease Control and Prevention18, Bielefeld University19, Swiss Tropical and Public Health Institute20, Imperial College London21, University of Basel22, Boston Children's Hospital23, Baylor College of Medicine24, Yonsei University25, Tehran University of Medical Sciences26, Jordan University of Science and Technology27, University of London28, University of Melbourne29, University of Liverpool30, Aintree University Hospitals NHS Foundation Trust31, Martin Luther University of Halle-Wittenberg32, United Nations Population Fund33, Iran University of Medical Sciences34, University of Ulm35, University of Sydney36, University of Porto37, University of British Columbia38, A.T. Still University39, Golestan University40, Harvard University41, Marshall University42, Case Western Reserve University43, University of KwaZulu-Natal44, AIIMS, New Delhi45, Utkal University46, Haramaya University47, Queensland University of Technology48, Wrocław Medical University49, Jagiellonian University Medical College50, Hanoi Medical University51, Johns Hopkins University52, National Research University – Higher School of Economics53, Norwegian Institute of Public Health54, University of Bergen55, University of Tromsø56, Karolinska Institutet57, Kyoto University58, Jackson State University59, Wuhan University60, University of Washington61
TL;DR: In this article, the authors report results of the Global Burden of Disease (GBD) 2015 study on primary liver cancer incidence, mortality, and disability-adjusted life-years (DALYs) for 195 countries or territories from 1990 to 2015, and present global, regional, and national estimates on the burden of liver cancer attributable to hepatitis B virus (HBV) and hepatitis C virus (HCV) infection and alcohol, and an “other” group that encompasses residual causes.
Abstract: Importance Liver cancer is among the leading causes of cancer deaths globally. The most common causes for liver cancer include hepatitis B virus (HBV) and hepatitis C virus (HCV) infection and alcohol use. Objective To report results of the Global Burden of Disease (GBD) 2015 study on primary liver cancer incidence, mortality, and disability-adjusted life-years (DALYs) for 195 countries or territories from 1990 to 2015, and present global, regional, and national estimates on the burden of liver cancer attributable to HBV, HCV, alcohol, and an “other” group that encompasses residual causes. Design, Settings, and Participants Mortality was estimated using vital registration and cancer registry data in an ensemble modeling approach. Single-cause mortality estimates were adjusted for all-cause mortality. Incidence was derived from mortality estimates and the mortality-to-incidence ratio. Through a systematic literature review, data on the proportions of liver cancer due to HBV, HCV, alcohol, and other causes were identified. Years of life lost were calculated by multiplying each death by a standard life expectancy. Prevalence was estimated using mortality-to-incidence ratio as surrogate for survival. Total prevalence was divided into 4 sequelae that were multiplied by disability weights to derive years lived with disability (YLDs). DALYs were the sum of years of life lost and YLDs. Main Outcomes and Measures Liver cancer mortality, incidence, YLDs, years of life lost, DALYs by etiology, age, sex, country, and year. Results There were 854 000 incident cases of liver cancer and 810 000 deaths globally in 2015, contributing to 20 578 000 DALYs. Cases of incident liver cancer increased by 75% between 1990 and 2015, of which 47% can be explained by changing population age structures, 35% by population growth, and −8% to changing age-specific incidence rates. The male-to-female ratio for age-standardized liver cancer mortality was 2.8. Globally, HBV accounted for 265 000 liver cancer deaths (33%), alcohol for 245 000 (30%), HCV for 167 000 (21%), and other causes for 133 000 (16%) deaths, with substantial variation between countries in the underlying etiologies. Conclusions and Relevance Liver cancer is among the leading causes of cancer deaths in many countries. Causes of liver cancer differ widely among populations. Our results show that most cases of liver cancer can be prevented through vaccination, antiviral treatment, safe blood transfusion and injection practices, as well as interventions to reduce excessive alcohol use. In line with the Sustainable Development Goals, the identification and elimination of risk factors for liver cancer will be required to achieve a sustained reduction in liver cancer burden. The GBD study can be used to guide these prevention efforts.

1,208 citations

Journal ArticleDOI
TL;DR: Analysis of cell-free plasma DNA collected from subjects with advanced lung cancer whose tumors had developed resistance to the epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) AZD 9291 provides insight into the diversity of mechanisms through which tumors acquire resistance to AZD9291.
Abstract: Here we studied cell-free plasma DNA (cfDNA) collected from subjects with advanced lung cancer whose tumors had developed resistance to the epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) AZD9291. We first performed next-generation sequencing of cfDNA from seven subjects and detected an acquired EGFR C797S mutation in one; expression of this mutant EGFR construct in a cell line rendered it resistant to AZD9291. We then performed droplet digital PCR on serial cfDNA specimens collected from 15 AZD9291-treated subjects. All were positive for the T790M mutation before treatment, but upon developing AZD9291 resistance three molecular subtypes emerged: six cases acquired the C797S mutation, five cases maintained the T790M mutation but did not acquire the C797S mutation and four cases lost the T790M mutation despite the presence of the underlying EGFR activating mutation. Our findings provide insight into the diversity of mechanisms through which tumors acquire resistance to AZD9291 and highlight the need for therapies that are able to overcome resistance mediated by the EGFR C797S mutation.

1,176 citations


Authors

Showing all 50632 results

NameH-indexPapersCitations
Younan Xia216943175757
Peer Bork206697245427
Ralph Weissleder1841160142508
Hyun-Chul Kim1764076183227
Gregory Y.H. Lip1693159171742
Yongsun Kim1562588145619
Jongmin Lee1502257134772
James M. Tiedje150688102287
Guanrong Chen141165292218
Kazunori Kataoka13890870412
Herbert Y. Meltzer137114881371
Peter M. Rothwell13477967382
Tae Jeong Kim132142093959
Shih-Chang Lee12878761350
Ming-Hsuan Yang12763575091
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023203
2022753
20217,800
20207,310
20196,827
20186,298