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Immunized Plants: An Answer to Global Hunger
Video from the Fall 2018 3 Minute Thesis (3MT®) Final Competition. In this video, Devasantosh Mohanty presents his research methods, findings, and its significance in non-technical language.
Date:
November 17, 2018
Creator:
Mohanty, Devasantosh
Object Type:
Video
System:
The UNT Digital Library
Diabetes Treatment with Sunshine
Video from the Fall 2018 3 Minute Thesis (3MT®) Final Competition. In this video, Sujata Argawal presents her research methods, findings, and its significance in non-technical language.
Date:
November 17, 2018
Creator:
Argawal, Sujata
Object Type:
Video
System:
The UNT Digital Library
Three Component Cascade Reaction of Cyclohexanones, Aryl Amines, and Benzoylmethylene Malonates: Cooperative Enamine-Brønsted Acid Approach to Tetrahydroindoles
Article discusses how a three-component cascade reaction comprising cyclic ketones, arylamines, and benzoylmethylene malonates has been developed to access 4,5,6,7-tetrahydro-1H-indoles. Furthermore, the reaction was achieved through cooperative enamine-Brønsted catalysis in high yields with wide substrate scopes.
Date:
November 30, 2022
Creator:
Vasquez, Jose Cortes; Alharbi, Waad S.; Davis, Jacqkis; Moore, Alexia; Nesterov, Vladimir N.; Cundari, Thomas R., 1964- et al.
Object Type:
Article
System:
The UNT Digital Library
Reweighted Manifold Learning of Collective Variables from Enhanced Sampling Simulations
Article provides a general reweighting framework based on anisotropic diffusion maps for manifold learning that takes into account that the learning data set is sampled from a biased probability distribution. The authors show that their proposed framework can be used in many manifold learning techniques on data from both standard and enhanced sampling simulations.
Date:
November 11, 2022
Creator:
Rydzewski, Jakub; Chen, Ming; Ghosh, Tushar K. & Valsson, Omar
Object Type:
Article
System:
The UNT Digital Library
Reconstructing horizontal gene flow network to understand prokaryotic evolution
Article says that horizontal gene transfer (HGT) is a major source of phenotypic innovation and a mechanism of niche adaptation in prokaryotes. Methods for detecting HGT can be classified into phylogenetic-based and parametric or composition-based approaches, so authors exploited the complementary strengths of both the approaches to construct a high confidence horizontal gene flow network. The scale-free horizontal gene flow network presented here provides new insights into modes of transfer for the exchange of genetic information and also illuminates differential gene flow across phyla.
Date:
November 30, 2022
Creator:
Sungupta, Soham & Azad, Rajeev K.
Object Type:
Article
System:
The UNT Digital Library
A lipidomics platform to analyze the fatty acid compositions of non-polar and polar lipid molecular species from plant tissues: Examples from developing seeds and seedlings of pennycress (Thlaspi arvense)
Article describes a stepwise targeted lipidomics approach to characterize the polar and non-polar lipid classes using complementary LC-MS methods. This lipidomics workflow was applied to developing, mature, and germinated pennycress seeds/seedlings and found unexpected changes among several lipid molecular species.
Date:
November 9, 2022
Creator:
Romsdahl, Trevor B.; Cocuron, Jean-Christophe; Pearson, Mackenzie J.; Alonso, Ana Paula & Chapman, Kent Dean
Object Type:
Article
System:
The UNT Digital Library
The Shadow Effect on Surface Biophysical Variables Derived from Remote Sensing: A Review
Article states that the main objective of this study was to review the recent literature on the shadow effect in remote sensing. An overview of the proposed methods for identifying and removing the shadow effect is presented.
Date:
November 12, 2022
Creator:
Alavipanah, Seyed Kazem; Firozjaei, Mohammad Karimi; Sedighi, Amir; Fathololoumi, Solmaz; Naghadehi, Saeid Zare; Saleh, Samiraalsadat et al.
Object Type:
Article
System:
The UNT Digital Library
Manipulating plasma thyroid hormone levels alters development of endothermy and ventilation in nestling red-winged blackbirds
Authors of the article propose that thyroid hormones play an important role in regulating development of endothermy during the nestling period in altricial birds. Their data suggests plasma thyroid hormone levels play an active role in the systemic development of endothermic capacity and the development of ventilatory control.
Date:
November 29, 2022
Creator:
Sirsat, Tushar S.; Sirsat, Sarah K. G.; Price, Edwan R.; Pineda, Megan & Dzialowski, Edward M. (Edward Michael)
Object Type:
Article
System:
The UNT Digital Library
Lipid Droplets: Packing Hydrophobic Molecules Within the Aqueous Cytoplasm
Article discusses how lipid droplets, also known as oil bodies or lipid bodies, are plant organelles that compartmentalize neutral lipids as a hydrophobic matrix covered by proteins embedded in a phospholipid monolayer. The authors review the growing body of knowledge about lipid droplets in plant cells, describe the evolutionary similarity and divergence in their associated subcellular machinery, and point to gaps that deserve future attention.
Date:
November 22, 2022
Creator:
Guzha, Athanas; Whitehead, Payton; Ischebeck, Till & Chapman, Kent Dean
Object Type:
Article
System:
The UNT Digital Library
A general large-scale synthesis approach for crystalline porous materials
Article describes how crystalline porous materials such as covalent organic frameworks (COFs) metal-organic frameworks (MOFs) and porous organic changes (POCs) have been widely applied in various fields with outstanding performances. In this work, the authors developed a general approach comprising high pressure homogenization (HPH), which can realize large-scale synthesis of crystalline porous materials including COFs, MOFs, and POCs under benign conditions.
Date:
November 2, 2023
Creator:
Liu, Xiongli; Wang, An; Wang, Chunping; Li, Jinli; Zhang, Zhiyuan; Al-Enizi, Abdullah M. et al.
Object Type:
Article
System:
The UNT Digital Library
A globally synthesized and flagged bee occurrence dataset and cleaning workflow
Article describes how species occurrence data is foundational for research, conservation, and science communication, but the limited availability and accessibility of reliable data represents a major obstacle, particularly for insects, which face mounting pressures. The authors harmonized species names, country names, and collection dates and, we added record-level flags for a series of potential quality issues.
Date:
November 2, 2023
Creator:
Dorey, James B.; Fischer, Erica E.; Chesshire, Paige R.; Nava-Bolaños, Angela; O'Reilly, Robert L.; Bossert, Silas et al.
Object Type:
Article
System:
The UNT Digital Library
The 2023 China report of the Lancet Countdown on health and climate change: taking stock for a thriving future
Authors of the article declare that, with growing health risks from climate change and a trend of increasing carbon emissions from coal, it is time for China to take action. The 2023 China report of the Lancet countdown continues to track progress on health and climate change in China, while now also attributing the health risks of climate change to human activities and providing examples of feasible and effective climate solutions.
Date:
November 18, 2023
Creator:
Zhang, Shihui; Zhang, Chi; Cai, Wenjia; Bai, Yuqi; Callaghan, Max; Chang, Nan et al.
Object Type:
Article
System:
The UNT Digital Library
Evaluating Nitrogen Management Practices for Greenhouse Gas Emission Reduction in a Maize Farmland in the North China Plain: Adapting to Climate Change
Article describes how quantification of the trade-offs among greenhouse gas emissions, yield, and farmers' incomes is essential for proposing economic and environmental nitrogen (N) management strategies for optimizing agricultural production. A four year field experiment was conducted on maize in the North China Plain.
Date:
November 2, 2023
Creator:
He, Huayun; Hu, Qi; Pan, Feifei & Pan, Xuebiao
Object Type:
Article
System:
The UNT Digital Library
A Novel ppb-Level Sensitive and Highly Selective Europium-Based Diketone Luminescent Sensor for the Quantitative Detection of Aluminum Ions in Water Samples
Article describes how a novel Eu(tta)3([4,4′-(t-bu)2-2,2′-bpy)] complex (tta-thenoyltrifluoroacetone), a ratiometric luminescent-based optical sensor for the quantitative determination of aluminum ion, is synthesized and characterized using XRD and 1H NMR. The sensor reported here is tested for 11 common cations and shows no interference on sensitivity. According to the authors, this is the first known Eu-based luminescence sensor that successfully exhibited the ability to detect aluminum ions in ppb levels in aqueous environments.
Date:
November 6, 2023
Creator:
Rajitha Perera, Nawagamu A. K.; Shankar, Sindhu K.; Archambault, Cynthia M.; Nesterov, Vladimir N.; Marpu, Sreekar; Yan, Hao et al.
Object Type:
Article
System:
The UNT Digital Library
Silicon versus Superbug: Assessing Machine Learning's Role in the Fight against Antimicrobial Resistance
Article describes how, in his 1945 Nobel Prize acceptance speech, Sir Alexander Fleming warned of antimicrobial resistance (AMR) if the necessary precautions were not taken diligently. This paper explores the applications of ML in predicting and understanding AMR, highlighting its potential in revolutionizing healthcare practices.
Date:
November 8, 2023
Creator:
Coxe, Tallon & Azad, Rajeev K.
Object Type:
Article
System:
The UNT Digital Library
Using Machine Learning to Predict Genes Underlying Differentiation of Multipartite and Unipartite Traits in Bacteria
Article describes how, since the discovery of the second chromosome in the Rhodobacter spaeroides 2.4.1 in 1989 and the revelation of gene sequences, multipartite genomes have been reported in over three hundred bacterial species under nine different phyla. In this study, the authors have attempted to leverage machine learning as a means to identify the genetic factors that underlie the differentiation of bacteria with multipartite and unipartite genomes.
Date:
November 13, 2023
Creator:
Almalki, Fatemah; Sunuwar, Janak & Azad, Rajeev K.
Object Type:
Article
System:
The UNT Digital Library
A gene network-driven approach to infer novel pathogenicity-associated genes: application to Pseudomonas aeruginosa PAO1
Article describes how within the genome of a pathogen is the information regarding factors responsible for its pathogenicity. the authors of the article developed a novel pipeline that uses standard protocol in combination with gene co-expression network of a pathogen constructed using publicly available RNA-Seq data sets.
Date:
November 3, 2023
Creator:
De, Ronika; Whiteley, Marvin & Aza, Rajeev K.
Object Type:
Article
System:
The UNT Digital Library