Resource Type
Partner
UNT Libraries Government Documents Department
7,394
UNT College of Arts and Sciences
123
UNT College of Science
62
UNT College of Engineering
55
UNT Libraries Special Collections
24
University of North Texas
19
UNT Libraries
11
UNT College of Public Affairs and Community Service
11
UNT College of Information
10
UNT College of Education
8
15 More
Collection
Office of Scientific & Technical Information Technical Reports
7,392
UNT Scholarly Works
321
The Society Diaries Collection
14
Women With Words
7
Dennis Vercher Collection (The Dallas Way)
6
LGBT Collections
6
D. Jack Davis Art Education Collection
4
Abilene Library Consortium
3
UNT Graduate Student Works
3
World War Two Collection
3
11 More
Serial/Series Title
Degree Department
Degree Discipline
States
Decade
Month
Language
7,758 Matching Results
Results open in a new window/tab.
prev
Results:
7,753 - 7,758 of
7,758
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.
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.
System:
The UNT Digital Library
An Optimized Control System for the Independent Control of the Inputs of the Doherty Power Amplifier
Article describes how this study presents a systematic design of an optimized drive signal control system for 2.5 GHz Doherty power amplifiers (DPAs). In this manuscript, the authors analyzed and compared the PAE of the DPA and parallel-connected PA for diverse input signals generated using a designed optimized control system
Date:
November 14, 2023
Creator:
Sah, Pallav Kumar; Poulton, Matthew; Luyen, Hung & Mahbub, Ifana
System:
The UNT Digital Library
Phase-Specific Damage Tolerance of a Eutectic High Entropy Alloy
Article describes how phase-specific damage tolerance was investigated for the AlCoCrFeNi2.1 high entropy alloy with a lamellar microstructure of L12 and B2 phases. Distinct differences in micro-scale deformation mechanisms were reflected in post-compression fractography, with L12-phase cantilevers showing typical characteristics of ductile failure, including the activation of multiple slip lanes, shear lips at the notch edge, and tearing inside the notch versus quasi-cleavage fracture with cleavage facets and a river pattern on the fracture surface for the B2-phase cantilevers.
Date:
November 30, 2023
Creator:
Jha, Shristy; Mishra, R. S. & Mukherjee, Sundeep
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.
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.
System:
The UNT Digital Library