8 Matching Results

Results open in a new window/tab.

A general large-scale synthesis approach for crystalline porous materials (open access)

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.
System: The UNT Digital Library
A globally synthesized and flagged bee occurrence dataset and cleaning workflow (open access)

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.
System: The UNT Digital Library
The 2023 China report of the Lancet Countdown on health and climate change: taking stock for a thriving future (open access)

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.
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 (open access)

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
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 (open access)

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 (open access)

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
Using Machine Learning to Predict Genes Underlying Differentiation of Multipartite and Unipartite Traits in Bacteria (open access)

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 (open access)

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