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36 Matching Results
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Workflow for the Quantification of Soluble and Insoluble Carbohydrates in Soybean Seed
This article develops and validates a sequential protocol for quantifying reserve and structural carbohydrates in soybean seed. It was successfully applied to eight soybean genotypes harvested from two locations, and the resulting correlations of carbohydrate and oil or protein are presented. This methodology has the potential not only to guide soybean cultivar optimization processes but also to be expanded to other crops with only slight modifications.
Date:
July 30, 2020
Creator:
Moretti, Ademar; Arias, Cintia L.; Mozzoni, Leandro A.; Chen, Pengyin; McNeece, Brant T.; Mian, M. A. Rouf et al.
Object Type:
Article
System:
The UNT Digital Library
Properties of lightweight concrete blocks with waste zeolitic tuff
Article presents an alternative block wall with Bayburt stone (BS) containing zeolite, namely lightweight concrete masonry blocks (LCMBs).
Date:
August 17, 2020
Creator:
Osmanson, Allison T.; Brostow, Witold, 1934-; Tekin, Ilker; Kotan, Turkay; Gencel, Osman & Martínez-Barrera, Gonzalo
Object Type:
Article
System:
The UNT Digital Library
Investigating the Use of Metadata Record Graphs to Analyze Subject Headings in the Digital Public Library of America
Presentation discussing network analysis of aggregated subject values in the Digital Public Library of America (DPLA), with a discussion of how format normalization could affect subject overlap across collections.
Date:
August 4, 2020
Creator:
Phillips, Mark Edward & Tarver, Hannah
Object Type:
Presentation
System:
The UNT Digital Library
A Statistical Analysis of Trans-Resveratrol in Grape Cane From Ten Varieties of Cultivated Wine Grapes (Vitis Spp.)
This article isolated resveratrol by a non-optimized protocol from ten varieties of grape cane grown in central Texas, USA. A statistical grouping of the ten varieties suggests that Norton, Blanca du bois, Cabernet Sauvignon, and Lenoir are the best candidates to use for further resveratrol isolation.
Date:
August 22, 2020
Creator:
Rathburn, Harold; Bell, Peter; Cook, Scott; Mayberry, Darrell D.; Geye, Emryse & Goodrich, Ryann
Object Type:
Article
System:
The UNT Digital Library
Reactions of triosmium and triruthenium clusters with 2-ethynylpyridine: new modes for alkyne C–C bond coupling and C–H bond activation
Article investigates the reaction of the trimetallic clusters [H₂Os₃(CO)₁₀] and [Ru₃(CO)₁₀L₂] (L = CO, MeCN) with 2-ethynylpyridine.
Date:
August 19, 2020
Creator:
Richmond, Michael G.; Joy, Tuhinur R.; Roknuzzaman; Hossain, Emdad; Ghosh, Shishir; Tocher, Derek A. et al.
Object Type:
Article
System:
The UNT Digital Library
Advances in academic video game collections
This article discusses how the UNT Media Library developed a video game collection to support student retention, student recreation, and classroom instruction. The article also will explain how the Library successfully met challenges involved in collection development, related technology, space needs, and the challenges it sees ahead.
Date:
August 29, 2020
Creator:
Robson, Diane; Sassen, Catherine & Rodriguez, Allyson
Object Type:
Article
System:
The UNT Digital Library
Pedagogy for Practical Library Instruction – An Online Program
This presentation highlights an online program developed to introduce academic librarians to pedagogy and describes the overall outline of the program, the structure of the modules, and the implementation plan for this program. It was presented at the 2020 Cross Timbers Library Collaborative Conference held virtually on August 7, 2020.
Date:
August 7, 2020
Creator:
Roy, Meranda M.
Object Type:
Presentation
System:
The UNT Digital Library
HAR-Depth: A Novel Framework for Human Action Recognition Using Sequential Learning and Depth Estimated History Images
This is the Accepted Manuscript version of an article that proposes HAR-Depth with sequential and shape learning along with the novel concept of depth history image (DHI) to address the challenges of Human action recognition (HAR). Results suggest that the proposed work of this paper performs better in terms of overall accuracy, kappa parameter and precision compared to the other state-of-the-art algorithms present in the earlier reported literature.
Date:
August 24, 2020
Creator:
Sahoo, Suraj Prakash; Ari, Samit; Mahapatra, Kamalakanta & Mohanty, Saraju P.
Object Type:
Article
System:
The UNT Digital Library
Collaborating on Scholarship
The presentation examines the considerations and processes for collaborating on scholarship from the perspective of academic librarians. It includes how to choose team members, facilitate collaboration and organize all the elements of a project to create a successful publication or presentation. Also included are administrative responsibilities, thoughts on handling problems, and examples of delineating responsibilities. It was presented at the Cross Timbers Library Collaborative Conference held on August 7, 2020.
Date:
August 7, 2020
Creator:
Sassen, Catherine & Brannon, Sian
Object Type:
Presentation
System:
The UNT Digital Library
Metal–Organic Frameworks for Enzyme Immobilization: Beyond Host Matrix Materials
Article reviews current research of role/function diversities of host matrix metal–organic frameworks (MOFs), noting the importance of understanding enzyme structural alternation and enzyme−MOF interaction after immobilization.
Date:
August 27, 2020
Creator:
Wang, Xiaoliang; Lan, Pui Ching & Ma, Shengqian
Object Type:
Article
System:
The UNT Digital Library
Hole-punching for enhancing electrocatalytic activities of 2D graphene electrodes: Less is more
Article develops 2D carbon electrocatalysts based on graphene with and without punched holes and/or N-doping and performs a comprehensive combined experimental and theoretical study on the edge and surface electrocatalytic activities of single-layer 2D graphene sheets.
Date:
August 17, 2020
Creator:
Xia, Zhenhai; Gao, Yunxiang; Zhang, Lipeng; Li, Chang Ming & Dai, Liming
Object Type:
Article
System:
The UNT Digital Library
Aspect-Based Fashion Recommendation With Attention Mechanism
Article proposes an aspect-based fashion recommendation model with attention mechanism (AFRAM) to predict customer ratings based on online reviews of fashion products. The experiment results demonstrate that AFRAM is more effective in customer rating predictions, as compared to several state-of-the-art fashion recommenders.
Date:
August 3, 2020
Creator:
Xu, Bugao
Object Type:
Article
System:
The UNT Digital Library