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Institution

Cornell University

EducationIthaca, New York, United States
About: Cornell University is a education organization based out in Ithaca, New York, United States. It is known for research contribution in the topics: Population & Gene. The organization has 102246 authors who have published 235546 publications receiving 12283673 citations. The organization is also known as: Cornell & CUI.


Papers
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01 Jan 1998
TL;DR: For more than half a century, my students and I have sought to understand why some learners acquire a deep, meaningful understanding of materials studied, whereas others have only a superficial grasp of the information presented as mentioned in this paper.
Abstract: For more than half a century, my students and I have sought to understand why some learners acquire a deep, meaningful understanding of materials studied, whereas others have only a superficial grasp of the information presented. Often the latter kind of student had high school grades and high standardized test scores. What appeared to underlie the differences in these two groups of students was the differences in the way they approached learning of subject matter. Unfortunately, as a graduate student at the University of Minnesota in the 1950’s, the only learning psychology taught was behavioral psychology, and this largely sought to remove meaning from learning experiments, either by using animals, nonsense syllables, paired-word associations, or other material that would not “contaminate” experiments due to the almost idiosyncratic nature of leaner’s meanings of concepts or ideas. I thought then that behavioral psychology had essentially no relevance to human learning of the kind I was interested in. Fortunately for our research group, Ausubel’s assimilation theory of meaningful learning was published in 1963, and this provided a solid theoretical foundation for the work we were interested in doing.

1,505 citations

Journal ArticleDOI
TL;DR: In this article, the state-of-the-art understanding of non-precious transition metal oxides that catalyze the oxygen reduction and evolution reactions is discussed, with an outlook on the opportunities in future research within this rapidly developing field.
Abstract: In this Review, we discuss the state-of-the-art understanding of non-precious transition metal oxides that catalyze the oxygen reduction and evolution reactions. Understanding and mastering the kinetics of oxygen electrocatalysis is instrumental to making use of photosynthesis, advancing solar fuels, fuel cells, electrolyzers, and metal–air batteries. We first present key insights, assumptions and limitations of well-known activity descriptors and reaction mechanisms in the past four decades. The turnover frequency of crystalline oxides as promising catalysts is also put into perspective with amorphous oxides and photosystem II. Particular attention is paid to electronic structure parameters that can potentially govern the adsorbate binding strength and thus provide simple rationales and design principles to predict new catalyst chemistries with enhanced activity. We share new perspective synthesizing mechanism and electronic descriptors developed from both molecular orbital and solid state band structure principles. We conclude with an outlook on the opportunities in future research within this rapidly developing field.

1,503 citations

Journal ArticleDOI
TL;DR: It is shown here that patients with depression can be subdivided into four neurophysiological subtypes defined by distinct patterns of dysfunctional connectivity in limbic and frontostriatal networks, which may be useful for identifying the individuals who are most likely to benefit from targeted neurostimulation therapies.
Abstract: Biomarkers have transformed modern medicine but remain largely elusive in psychiatry, partly because there is a weak correspondence between diagnostic labels and their neurobiological substrates. Like other neuropsychiatric disorders, depression is not a unitary disease, but rather a heterogeneous syndrome that encompasses varied, co-occurring symptoms and divergent responses to treatment. By using functional magnetic resonance imaging (fMRI) in a large multisite sample (n = 1,188), we show here that patients with depression can be subdivided into four neurophysiological subtypes (‘biotypes’) defined by distinct patterns of dysfunctional connectivity in limbic and frontostriatal networks. Clustering patients on this basis enabled the development of diagnostic classifiers (biomarkers) with high (82–93%) sensitivity and specificity for depression subtypes in multisite validation (n = 711) and out-of-sample replication (n = 477) data sets. These biotypes cannot be differentiated solely on the basis of clinical features, but they are associated with differing clinical-symptom profiles. They also predict responsiveness to transcranial magnetic stimulation therapy (n = 154). Our results define novel subtypes of depression that transcend current diagnostic boundaries and may be useful for identifying the individuals who are most likely to benefit from targeted neurostimulation therapies.

1,503 citations

Journal ArticleDOI
TL;DR: The fMRI results suggest that the functional contrasts within this single task differentially activate three separable anatomical networks related to the components of attention.

1,499 citations

Journal ArticleDOI
30 Apr 2015-Nature
TL;DR: The preparation of high-mobility 4-inch wafer-scale films of monolayer molybdenum disulphide and tungsten disulPHide, grown directly on insulating SiO2 substrates, with excellent spatial homogeneity over the entire films are reported, a step towards the realization of atomically thin integrated circuitry.
Abstract: The large-scale growth of semiconducting thin films forms the basis of modern electronics and optoelectronics. A decrease in film thickness to the ultimate limit of the atomic, sub-nanometre length scale, a difficult limit for traditional semiconductors (such as Si and GaAs), would bring wide benefits for applications in ultrathin and flexible electronics, photovoltaics and display technology. For this, transition-metal dichalcogenides (TMDs), which can form stable three-atom-thick monolayers, provide ideal semiconducting materials with high electrical carrier mobility, and their large-scale growth on insulating substrates would enable the batch fabrication of atomically thin high-performance transistors and photodetectors on a technologically relevant scale without film transfer. In addition, their unique electronic band structures provide novel ways of enhancing the functionalities of such devices, including the large excitonic effect, bandgap modulation, indirect-to-direct bandgap transition, piezoelectricity and valleytronics. However, the large-scale growth of monolayer TMD films with spatial homogeneity and high electrical performance remains an unsolved challenge. Here we report the preparation of high-mobility 4-inch wafer-scale films of monolayer molybdenum disulphide (MoS2) and tungsten disulphide, grown directly on insulating SiO2 substrates, with excellent spatial homogeneity over the entire films. They are grown with a newly developed, metal-organic chemical vapour deposition technique, and show high electrical performance, including an electron mobility of 30 cm(2) V(-1) s(-1) at room temperature and 114 cm(2) V(-1) s(-1) at 90 K for MoS2, with little dependence on position or channel length. With the use of these films we successfully demonstrate the wafer-scale batch fabrication of high-performance monolayer MoS2 field-effect transistors with a 99% device yield and the multi-level fabrication of vertically stacked transistor devices for three-dimensional circuitry. Our work is a step towards the realization of atomically thin integrated circuitry.

1,499 citations


Authors

Showing all 103081 results

NameH-indexPapersCitations
Eric S. Lander301826525976
David Miller2032573204840
Lewis C. Cantley196748169037
Charles A. Dinarello1901058139668
Scott M. Grundy187841231821
Paul G. Richardson1831533155912
Chris Sander178713233287
David R. Williams1782034138789
David L. Kaplan1771944146082
Kari Alitalo174817114231
Richard K. Wilson173463260000
George F. Koob171935112521
Avshalom Caspi170524113583
Derek R. Lovley16858295315
Stephen B. Baylin168548188934
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023309
20221,363
202112,457
202012,139
201910,787
20189,905