Institution
Ohio State University
Education•Columbus, Ohio, United States•
About: Ohio State University is a education organization based out in Columbus, Ohio, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 102421 authors who have published 222715 publications receiving 8373403 citations. The organization is also known as: Ohio State & The Ohio State University.
Topics: Population, Poison control, Galaxy, Cancer, Breast cancer
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University of Sydney1, University of Western Australia2, Commonwealth Scientific and Industrial Research Organisation3, James Cook University4, Rothamsted Research5, Argonne National Laboratory6, Ohio State University7, Cornell University8, Colorado State University9, Landcare Research10, University of Natural Resources and Life Sciences, Vienna11
TL;DR: In this article, a review highlights knowledge of the amount of carbon stored in soils globally, and the potential for carbon sequestration in soil, and discusses successful methods and models used to determine and estimate carbon pools and fluxes.
1,128 citations
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TL;DR: Evidence is reviewed showing that the positive and negative evaluative processes underlying many attitudes are distinguishable, are characterized by distinct activation functions, are related differentially to attitude ambivalence, have distinguishable antecedents, and tend to gravitate from a bivariate toward a bipolar structure when the underlying beliefs are the target of deliberation or a guide for behavior.
Abstract: All organisms must be capable of differentiating hostile from hospitable stimuli to survive. Typically, this evaluative discrimination is conceptualized as being bipolar (hostile-hospitable). This conceptualization is certainly evident in the area of attitudes, where the ubiquitous bipolar attitude measure, by gauging the net affective predisposition toward a stimulus, treats positive and negative evaluative processes as equivalent, reciprocally activated, and interchangeable. Contrary to conceptualizations of this evaluative process as bipolar, recent evidence suggests that distinguishable motivational systems underlie assessments of the positive and negative significance of a stimulus. Thus, a stimulus may vary in terms of the strength of positive evaluative activation and the strength of negative evaluative activation it evokes. Low activation of positive and negative evaluative processes by a stimulus reflects attitude neutrality or indifference, whereas high activation of positive and negative evaluative processes reflects attitude ambivalence. As such, attitudes can be represented more completely within a bivariate space than along a bipolar continuum. Evidence is reviewed showing that the positive and negative evaluative processes underlying many attitudes are distinguishable (stochastically and functionally independent), are characterized by distinct activation functions (positivity offset and negativity bias principles), are related differentially to attitude ambivalence (corollary of ambivalence asymmetries), have distinguishable antecedents (heteroscedacity principle), and tend to gravitate from a bivariate toward a bipolar structure when the underlying beliefs are the target of deliberation or a guide for behavior (principle of motivational certainty). The implications for society phenomena such as political elections and democratic structures are discussed.
1,126 citations
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TL;DR: An empirical q-factor model consisting of the market factor, a size factor, an investment factor, and a profitability factor largely summarizes the cross section of average stock returns as mentioned in this paper, and with a few exceptions, the Q-Factor model's performance is at least comparable to, and in many cases better than that of the Fama-French (1993) 3 factor model and the Carhart (1997) 4 factor model in capturing the remaining significant anomalies.
Abstract: An empirical q-factor model consisting of the market factor, a size factor, an investment factor, and a profitability factor largely summarizes the cross section of average stock returns. A comprehensive examination of nearly 80 anomalies reveals that about one-half of the anomalies are insignificant in the broad cross section. More importantly, with a few exceptions, the q-factor model's performance is at least comparable to, and in many cases better than that of the Fama-French (1993) 3-factor model and the Carhart (1997) 4-factor model in capturing the remaining significant anomalies.
1,125 citations
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TL;DR: The available information on energy use in farm operations, and its conversion into carbon equivalent (CE) is a synthesis of the available information and shows that an output/input ratio, expressed either as gross or net output of C, must be >1 and has an increasing trend over time.
1,125 citations
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Université Paris-Saclay1, City of Hope National Medical Center2, Institute of Cancer Research3, Ohio State University4, Sheba Medical Center5, Kindai University6, Yonsei University7, University of Chicago8, McGill University9, University of Bordeaux10, University of Texas MD Anderson Cancer Center11, Mayo Clinic12, Foundation Medicine13, Merck & Co.14, New Generation University College15
TL;DR: The association of high tissue TMB (tTMB-high) with outcomes in ten tumour-type-specific cohorts from the phase 2 KEYNOTE-158 study, which assessed the anti-PD-1 monoclonal antibody pembrolizumab in patients with selected, previously treated, advanced solid tumours, was prospectively explored.
Abstract: Summary Background Tumour mutational burden (TMB) has been retrospectively correlated with response to immune checkpoint blockade. We prospectively explored the association of high tissue TMB (tTMB-high) with outcomes in ten tumour-type-specific cohorts from the phase 2 KEYNOTE-158 study, which assessed the anti-PD-1 monoclonal antibody pembrolizumab in patients with selected, previously treated, advanced solid tumours. Methods In the multi-cohort, open-label, non-randomised, phase 2 KEYNOTE-158 study, patients were enrolled from 81 academic facilities and community-based institutions across 21 countries in Africa, the Americas, Asia, and Europe. Eligible patients were aged 18 years or older, had a histologically or cytologically confirmed advanced (ie, unresectable or metastatic, or both) incurable solid tumour (eligible tumour types were anal, biliary, cervical, endometrial, mesothelioma, neuroendocrine, salivary, small-cell lung, thyroid, and vulvar), progression on or intolerance to one or more lines of standard therapy, had measurable disease per Response Evaluation Criteria in Solid Tumors (RECIST; version 1.1) assessed by independent central radiological review, Eastern Cooperative Oncology Group performance status of 0 or 1, life expectancy of at least 3 months, adequate organ function, and a tumour sample for biomarker analysis. Participants were given pembrolizumab 200 mg intravenously every 3 weeks for up to 35 cycles. Tissue TMB (tTMB) was assessed in formalin-fixed paraffin-embedded tumour samples using the FoundationOne CDx assay (Foundation Medicine, Cambridge, MA, USA). The prespecified definition of tTMB-high status was at least 10 mutations per megabase. The primary endpoint was the proportion of patients with an objective response (complete or partial response) as per Response Evaluation Criteria in Solid Tumours (version 1.1) by independent central review. This prespecified analysis assessed the association between antitumour activity and tTMB in treated patients with evaluable tTMB data. Efficacy was assessed in all participants who received at least one dose of pembrolizumab, had evaluable tTMB data, and were enrolled at least 26 weeks before data cutoff (June 27, 2019), and safety was assessed in all participants who received at least one dose of pembrolizumab and had tTMB-high status. KEYNOTE-158 is registered at ClinicalTrials.gov, NCT02628067, and is ongoing. Findings Between Jan 15, 2016, and June 25, 2019, 1073 patients were enrolled. 1066 participants were treated as of data cutoff (June 27, 2019), of whom 805 (76%) were evaluable for TMB, and 105 (13%) of 805 had tTMB-high status and were assessed for safety. 1050 (98%) of 1066 patients enrolled by at least 26 weeks before data cutoff, of whom 790 (75%) were evaluable for TMB and included in efficacy analyses. 102 (13%) of these 790 patients had tTMB-high status (≥10 mutations per megabase), and 688 (87%) patients had non-tTMB-high status ( Interpretation tTMB-high status identifies a subgroup of patients who could have a robust tumour response to pembrolizumab monotherapy. tTMB could be a novel and useful predictive biomarker for response to pembrolizumab monotherapy in patients with previously treated recurrent or metastatic advanced solid tumours. Funding Merck Sharp & Dohme Corp, a subsidiary of Merck & Co, Inc.
1,124 citations
Authors
Showing all 103197 results
Name | H-index | Papers | Citations |
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Paul M. Ridker | 233 | 1242 | 245097 |
George Davey Smith | 224 | 2540 | 248373 |
Carlo M. Croce | 198 | 1135 | 189007 |
Eric J. Topol | 193 | 1373 | 151025 |
Bernard Rosner | 190 | 1162 | 147661 |
David H. Weinberg | 183 | 700 | 171424 |
Anil K. Jain | 183 | 1016 | 192151 |
Michael I. Jordan | 176 | 1016 | 216204 |
Kay-Tee Khaw | 174 | 1389 | 138782 |
Richard K. Wilson | 173 | 463 | 260000 |
Yang Yang | 164 | 2704 | 144071 |
Brian L Winer | 162 | 1832 | 128850 |
Jian-Kang Zhu | 161 | 550 | 105551 |
Elaine R. Mardis | 156 | 485 | 226700 |
R. E. Hughes | 154 | 1312 | 110970 |