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open access

POSMM: an efficient alignment-free metagenomic profiler that complements alignment-based profiling

Description: Article presents POSMM, Python-Optimized Standard Markov Model classifier, which is a new incarnation of the Markov model approach to metagenomic sequence analysis. The authors claim that by combining POSMM with ultrafast classifiers such as Kraken2, their complementary strengths can be leveraged to produce higher overall accuracy in metagenomic sequence classification than by either as a standalone classifier. POSMM is a user-friendly and highly adaptable tool designed for broad use by the met… more
Date: March 8, 2023
Creator: Burks, David J.; Pusadkar, Vaidehi & Azad, Rajeev K.
Partner: UNT College of Science
open access

A theoretical study of M–M′ polar-covalent bonding in heterobimetallic multinuclear organometallic complexes of monovalent group 11 metal centres

Description: Article describes how complexes with closed-shell (d10–d10) interactions have been studied for their interesting luminescence properties in organic light-emitting diode (OLED) devices. The present computational study aims at understanding the chemical bonding/interactions in a series of molecules with unusually short metal–metal bond distances between monovalent coinage-metal (d10–d10) centres.
Date: February 8, 2023
Creator: Rabaâ, Hassan; Sundholm, Dage & Omary, Mohammad A.
Partner: UNT College of Science
open access

Exposure to diesel exhaust particulates and desert sand dust generates microvesicle particles and platelet-activating factor agonists

Description: The authors address the editor in their article, stating that the majority of the general population, particularly, servicemen and women deployed across the globe are exposed to various airborne hazards, including diesel exhaust particulate (DEP) and desert sand dust (DSD). Studies, including the author's study, have shown that exposure to ROS-generating pro-oxidative stressors ranging from environmental carcinogens to pollutants, including cigarette smoke, produces a class of potent phospholip… more
Date: April 8, 2023
Creator: Thyagarajan, Anita; Rapp, Christine M.; Schneider, Leah; Lund, Amie K.; Travers, Jeffrey B. & Sahu, Ravi P.
Partner: UNT College of Science
open access

The universal shape of the X-ray variability power spectrum of AGN up to z ∼ 3

Description: Authors of the article assert that they studied the ensemble X-ray variability properties of active galactic nuclei (AGN) over large ranges of timescale (20 ks ≤ T ≤ 14 yr), redshift (0 ≤ z ≲ 3), luminosity (1040 erg s−1 ≤ LX ≤ 1046 erg s−1), and black hole (BH) mass (106 ≤ M⊙ ≤ 109). The authors show that the data collected from archival observations and previous literature studies are fully consistent with a universal PSD form, which does not show any evidence for systematic evolution of shap… more
Date: May 8, 2023
Creator: Paolillo, Maurizio; Papadakis, I.; Brandt, William Nielsen; Bauer, Franz E.; Lanzuisi, G.; Allevato, V. et al.
Partner: UNT College of Science
open access

Work-Family Conflict and its Sustainability Implications among Married Immigrants Working in the USA

Description: Article describes how there is a paucity of research on the work and family dynamics of immigrants who arrive in the U.S. on visas. This study examined work-family conflicts and work-life support among married immigrants born abroad but currently holding permanent resident status in the U.S.
Date: October 8, 2023
Creator: Gopalan, Neena; Beutell, Nicholas J.; Grzywacz, Joseph G.; Middlemiss, Wendy; Manchiraju, Srikant & Srivastava, Sapna
Partner: UNT College of Education
open access

MXene/graphene oxide nanocomposites for friction and wear reduction of rough steel surfaces

Description: Article describes how development of solid lubricant materials that render reliable performance in ambient conditions, are amenable to industrial size and design complexities, and work on engineered surfaces is reported. This report presents the holistic exploration and correlation of structure-property-processing pertaining to the advancement of solid lubrication science.
Date: July 8, 2023
Creator: Macknojia, Ali Zayaan; Ayyagari, Aditya; Shevchenko, Elena V. & Berman, Diana
Partner: UNT College of Engineering
open access

Silicon versus Superbug: Assessing Machine Learning's Role in the Fight against Antimicrobial Resistance

Description: 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.
Partner: UNT College of Science
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