scispace - formally typeset
Search or ask a question
Institution

Mississippi State University

EducationStarkville, Mississippi, United States
About: Mississippi State University is a education organization based out in Starkville, Mississippi, United States. It is known for research contribution in the topics: Population & Catfish. The organization has 14115 authors who have published 28594 publications receiving 700030 citations. The organization is also known as: The Mississippi State University of Agriculture and Applied Science & Mississippi State University of Agriculture and Applied Science.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, the authors supplement the recent work by Miller and Le Breton-Miller by evaluating more closely two related theoretical aspects of the socioemotional wealth concept: (1) the stocks and flows of noneconomic benefits and how they influence family firm behavior; and (2) the use of prospect theory as an umbrella concept.
Abstract: We supplement the recent work by Miller and Le Breton-Miller by evaluating more closely two related theoretical aspects of the socioemotional wealth concept: (1) the stocks and flows of noneconomic benefits and how they influence family firm behavior; and (2) the use of prospect theory as an umbrella concept. We, thus, contribute to family business research by delineating a number of important research questions related to these two theoretical aspects that need to be addressed if theories of family firm behavior and performance are to move forward.

177 citations

Journal ArticleDOI
TL;DR: CPPCA constitutes a fundamental departure from traditional PCA in that it permits its excellent dimensionality-reduction and compression performance to be realized in an light-encoder/heavy-decoder system architecture.
Abstract: Principal component analysis (PCA) is often central to dimensionality reduction and compression in many applications, yet its data-dependent nature as a transform computed via expensive eigendecomposition often hinders its use in severely resource-constrained settings such as satellite-borne sensors. A process is presented that effectively shifts the computational burden of PCA from the resource-constrained encoder to a presumably more capable base-station decoder. The proposed approach, compressive-projection PCA (CPPCA), is driven by projections at the sensor onto lower-dimensional subspaces chosen at random, while the CPPCA decoder, given only these random projections, recovers not only the coefficients associated with the PCA transform, but also an approximation to the PCA transform basis itself. An analysis is presented that extends existing Rayleigh-Ritz theory to the special case of highly eccentric distributions; this analysis in turn motivates a reconstruction process at the CPPCA decoder that consists of a novel eigenvector reconstruction based on a convex-set optimization driven by Ritz vectors within the projected subspaces. As such, CPPCA constitutes a fundamental departure from traditional PCA in that it permits its excellent dimensionality-reduction and compression performance to be realized in an light-encoder/heavy-decoder system architecture. In experimental results, CPPCA outperforms a multiple-vector variant of compressed sensing for the reconstruction of hyperspectral data.

177 citations

Journal ArticleDOI
TL;DR: This article showed that reducing ITIs and increasing wait times may improve the quality and possibly the quantity of learning trials in a fixed period of time, and that teachers can also control the form and timing of responses.
Abstract: Summary of Teacher-Led Procedures Wait-times, choral responding, and response cards increase the number of studentsresponding to task stimuli following teacher questions. Consequently, these proce-dures can increase the number and the rate of complete learning trials duringrecitation. However , each of thes e procedure s has uniqu e strength s and shortcomings .Increasing wait times may increase the number of students responding; but, becausethese cognitive responses are unobservable, teachers can not monitor or evaluateresponses. Respons e cards occasio n observable written responses which teachers canmonitor. After asking a question, the teacher can determine who is responding andevaluate the accuracy of those responses. This can allow teachers to encourageresponding from all students and provide corrective feedback to students who aremaking errors . However, writin g response s take s time . Therefore, response card s maybe less efficient (lower learning trial rates) than longer wait times and calling on onestudent to respond aloud when questions require long responses .Choral responding is overt and efficient. However, teachers have difficultydetermining which students are responding and evaluating response accuracy(Narayan et al., 1990). Therefore, when students have obtained some degree ofaccuracy, choral responding may prove to be useful for increasing fluency becauseit allow s for a larg e numbe r of response s in a brie f perio d of time . Chora l respondingmay also be useful when the goal response is verbal. For example, you could notuse response cards for sight-word responding. When teachers are presenting taskstimuli and providing feedback they can control the pace of instruction. ReducingITIs and increasing wait times may improve the quality and possibly the quantityof learning trials in a fixed period of time. Teachers can also control the form andtiming of responses . Choral responding and response card research reviewed showhow altering the form (written as opposed to subvocal) or timing (unison or one ata time) of responses can increase rates of responding and learning rates in groupsof students.

176 citations

Journal ArticleDOI
TL;DR: In this article, a large number of initial trials were conducted on five commercially important Quebec wood species, spruce (Picea spp.), pine, aspen, fir, and birch (Betula spp.).
Abstract: Finnish wood heat treatment technology, ThermoWood, was recently introduced to Quebec, Canada by Ohlin Thermo Tech. Subsequently, a large number of initial trials were conducted on five commercially important Quebec wood species, spruce (Picea spp.), pine (Pinus spp.), fir (Abies spp.), aspen (Populus spp.), and birch (Betula spp.). These species were thermally-modified in different batches at temperatures of 200 °C or higher. The static bending and hardness of the thermally-modified wood were examined. Decreases of 0% to 49% were observed in modulus of rupture of heat-treated spruce, pine, fir, and aspen depending on species and treatment schedules used; modulus of rupture of birch increased slightly after the heat treatment. The decrease in modulus of elasticity of heat-treated spruce and pine ranged from 4% to 28%; but the modulus of elasticity of heat-treated fir, aspen, and birch increased except one trial for fir. Hardness of the heat-treated wood increased or decreased depending on the species, test directions (radial, tangential, and longitudinal), and treatment schedules.

176 citations

Journal ArticleDOI
TL;DR: A verification and validation study was performed using the open source computational fluid dynamics solver OpenFOAM version 2.0 for incompressible bluff body fluid flows, which shows mostly monotonic convergence with averaged grid uncertainty.

176 citations


Authors

Showing all 14277 results

NameH-indexPapersCitations
Naomi J. Halas14043582040
Bin Liu138218187085
Shuai Liu129109580823
Vijay P. Singh106169955831
Liangpei Zhang9783935163
K. L. Dooley9532063579
Feng Chen95213853881
Marco Cavaglia9337260157
Tuan Vo-Dinh8669824690
Nicholas H. Barton8426732707
S. Kandhasamy8123550363
Michael S. Sacks8038620510
Dinesh Mohan7928335775
James Mallet7820921349
George D. Kuh7724830346
Network Information
Related Institutions (5)
Texas A&M University
164.3K papers, 5.7M citations

94% related

University of Georgia
93.6K papers, 3.7M citations

93% related

Purdue University
163.5K papers, 5.7M citations

93% related

Michigan State University
137K papers, 5.6M citations

93% related

University of Illinois at Urbana–Champaign
225.1K papers, 10.1M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202347
2022247
20211,725
20201,620
20191,465
20181,467