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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
Work-Family Conflict and its Sustainability Implications among Married Immigrants Working in the USA
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
System:
The UNT Digital Library
MXene/graphene oxide nanocomposites for friction and wear reduction of rough steel surfaces
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
System:
The UNT Digital Library
The universal shape of the X-ray variability power spectrum of AGN up to z ∼ 3
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 shape or amplitude with redshift or luminosity, even if there may be differences between individual AGN at a given redshift or luminosity.
Date:
May 8, 2023
Creator:
Paolillo, Maurizio; Papadakis, I.; Brandt, William Nielsen; Bauer, Franz E.; Lanzuisi, G.; Allevato, V. et al.
System:
The UNT Digital Library
Exposure to diesel exhaust particulates and desert sand dust generates microvesicle particles and platelet-activating factor agonists
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 phospholipid mediators, Platelet-activating factor (PAF) and PAF-like agonists via oxidative cleavage of lipid membrane glycerophosphocholines (GPCs).
Date:
April 8, 2023
Creator:
Thyagarajan, Anita; Rapp, Christine M.; Schneider, Leah; Lund, Amie K.; Travers, Jeffrey B. & Sahu, Ravi P.
System:
The UNT Digital Library
POSMM: an efficient alignment-free metagenomic profiler that complements alignment-based profiling
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 metagenome scientific community.
Date:
March 8, 2023
Creator:
Burks, David J.; Pusadkar, Vaidehi & Azad, Rajeev K.
System:
The UNT Digital Library
A theoretical study of M–M′ polar-covalent bonding in heterobimetallic multinuclear organometallic complexes of monovalent group 11 metal centres
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.
System:
The UNT Digital Library
Creating a Sustainable Professional Development Program
Article describing a professional development program for academic librarians at a large research university that has been operating continuously for eight years. Multiple components of the program and their related practices and procedures contribute to its longevity and continuing relevance for librarians.
Date:
December 8, 2022
Creator:
O'Toole, Erin; Sassen, Catherine; Willis, Shannon; Guerrero, Steven & Berg, Jeremy
System:
The UNT Digital Library
Growth of Highly-Ordered Metal Nanoparticle Arrays in the Dimpled Pores of an Anodic Aluminum Oxide Template
Article presents a reliable, scalable, and inexpensive technology for the fabrication of ordered arrays of metal nanoparticles with large areal coverage on various substrates. Using a simple model, the experimental results were interpreted and supported by numerical estimations.
Date:
November 8, 2022
Creator:
Farmer, Gavin; Abraham, James; Littler, Chris; Syllaios, A. J. & Philipose, Usha
System:
The UNT Digital Library
Special Issue “Laser Powder Bed Fusion, Direct Energy Deposition and Hybrid Manufacturing of Metals and Alloys”
Article describes hybrid additive manufacturing processes involve the use of different manufacturing techniques to fabricate net shape or near-net shape parts, with enhanced capabilities of heat dissipation, such as those needed in conformal molding, or requiring internal cooling systems, such as, for example, those seen in turbine blades, and for developing other components demanding free form fabrication methods. The combination of these AM processes with material removal processes, such as machining, is the core of the hybrid additive manufacturing concept, together with the full coupling of these processes in an integrated fashion.
Date:
October 8, 2022
Creator:
Siller Carrillo, Héctor Rafael
System:
The UNT Digital Library
N-acylethanolamide metabolizing enzymes are upregulated in human neural progenitor-derived neurons exposed to sub-lethal oxidative stress
Article is a study determining whether ReN cells, a superior cell model system for studying neurodevelopment, differentiation, and neuroprotection, express proteins involved in canonical eCB NAE signaling and whether oxidative stress can induce their expression. This study is a first step toward determining how oxidative stress affects CB1, CB2, FAAH, NAAA, and NAPE-PLD expression and their potential defense against oxidative stress.
Date:
August 8, 2022
Creator:
Duncan, Scott R.; Riordan, Sean M.; Hall, Conner W.; Payne, Andrew J.; Chapman, Kent Dean & Koulen, Peter
System:
The UNT Digital Library
Case report: Early-onset osteoporosis in a patient carrying a novel heterozygous variant of the WNT1 gene
Article presents a case study of a 35 year-old Caucasian woman who experienced multiple vertebral fractures two months after her second pregnancy. The results suggest a potential role of heterozygous WNT1 variants in the pathogenesis of early-onset osteoporosis. The authors suggest that teriparatide is one of the most appropriate available therapies for such cases.
Date:
August 8, 2022
Creator:
Campopiano, Maria Cristina; Fogli, Antonella; Michelucci, Angela; Mazoni, Laura; Longo, Antonella; Borsari, Simona et al.
System:
The UNT Digital Library
Design of high SERS sensitive substrates based on branched Ti nanorods
Article reports a rational design of branched titanium (Ti) nanorods formed by glancing angle physical vapor deposition and their applications as substrates for surface-enhanced Raman scattering (SERS). The authors investigation provides a mechanism to fabricate sensitive SERS sensors of Ti nanorods that are known to be thermally and chemically stable and compatible with silicon-based electronics.
Date:
July 8, 2022
Creator:
Abayomi M. Yussuf, Nosirudeen; Li, Jianlin; Jung, Yung Joon & Huang, Hanchen
System:
The UNT Digital Library
An empirical Bayes approach to incorporating demand intermittency and irregularity into inventory control
Article asserts that spare parts inventory management is complex due to the combined impact of intermittent and variable demand patterns. This study proposes a novel nonparametric Bayesian forecasting approach with its roots in the empirical Bayes paradigm.
Date:
June 8, 2022
Creator:
Ye, Yuan; Lu, Yonggang; Robinson, Powell & Narayanan, Arunachalam
System:
The UNT Digital Library
Computing microRNA-gene interaction networks in pan-cancer using miRDriver
This article is a study where the authors integrated the multi-omics datasets such as copy number aberration, DNA methylation, gene and microRNA expression to identify the signature microRNA-gene associations from frequently aberrated DNA regions across pan-cancer utilizing a LASSO-based regression approach.
Date:
March 8, 2022
Creator:
Bose, Banabithi; Moravec, Matthew & Bozdag, Serdar
System:
The UNT Digital Library
A self-powered wireless motion sensor based on a high-surface area reverse electrowetting-on-dielectric energy harvester
Article presents a motion-sensing device with the capability of harvesting energy from low-frequency motion activities. Based on the high surface area reverse electrowetting-on-dielectric (REWOD) energy harvesting technique, mechanical modulation of the liquid generates an AC signal, which is modeled analytically and implemented in Matlab and COMSOL.
Date:
March 8, 2022
Creator:
Tasneem, Nishat Tarannum; Biswas, Dipon K.; Adhikari, Pashupati R.; Gunti, Avinash; Patwary, Adnan B.; Reid, Russell C. et al.
System:
The UNT Digital Library
Spectroscopic, structural, and strain-dependent analysis of suspended bulk WSe2 sheets
Article utilizing Raman spectroscopy and photoluminescence (PL) spectroscopy to analyze the phononic and electronic parameters in suspended bulk WSe₂ sheets, fabricated utilizing photolithography and wet chemical etching. The findings of this work will be beneficial in analyzing thermal, optical, and mechanical properties of WSe₂ in a suspended platform for its application in electronic, thermoelectric, and mechanical sensors in the future.
Date:
February 8, 2022
Creator:
Bandyopadhyay, Avra S. & Kaul, Anupama
System:
The UNT Digital Library
Trypsin induces an aversive response in zebrafish by PAR2 activation in keratinocytes
Article using zebrafish as a model and identifies that trypsin induces an aversive response in zebrafish larvae and adult zebrafish. Results show that the trypsin activates PAR2 on keratinocytes signaling the brain, and this pathway of trypsin-induced escape response will provide a unique communication mechanism in zebrafish.
Date:
October 8, 2021
Creator:
Alsrhani, Abdullah; Raman, Revathi & Jagadeeswaran, Pudur
System:
The UNT Digital Library
Ecological determinants of smart home ecosystems: A coopetition framework
Article describing the strategic motivations and critical factors involved in the competition-based evolution of smart home ecosystems from early to growth phases, leading to a decision among the largest competitors to engage in coopetition.
Date:
September 8, 2021
Creator:
Struckell, Elisabeth; Ojha, Divesh; Patel, Pankaj C. & Dhir, Amandeep
System:
The UNT Digital Library
Event-Driven Deep Learning for Edge Intelligence (EDL-EI)
Article on deep-learning framework for edge intelligence EDL-EI (event-driven deep learning for edge intelligence). To verify the proposed framework, the authors include a case study of air-quality scenarios based for the most polluted cities in South Korea and China.
Date:
September 8, 2021
Creator:
Shah, Sayed Khushal; Tariq, Zeenat; Lee, Jeehwan & Lee, Yugyung
System:
The UNT Digital Library
Deep learning for peptide identification from metaproteomics datasets
This article explores a proposed deep-learning-based algorithm called DeepFilter for improving peptide identifications from a collection of tandem mass spectra. The authors find that DeepFilter is believed to generalize properly to new, previously unseen peptide-spectrum-matches and can be readily applied in peptide identification from metaproteomics data.
Date:
July 8, 2021
Creator:
Feng, Shichao; Sterzenbach, Ryan & Guo, Xuan
System:
The UNT Digital Library
Reference materials for phase equilibrium studies. 1. Liquid–liquid equilibria (IUPAC Technical Report)
This article is the first of three projected IUPAC Technical Reports resulting from IUPAC Project 2011-037-2-100 (Reference Materials for Phase Equilibrium Studies). This report proposes seven systems for liquid–liquid equilibrium studies, covering the four most common categories of binary mixtures: aqueous systems of moderate solubility, non-aqueous systems, systems with low solubility, and systems with ionic liquids.
Date:
July 8, 2021
Creator:
Bazyleva, Ala; Acree, William E. (William Eugene); Chirico, Robert D.; Diky, Vladimir; Hefter, Glenn T.; Jacquemin, Johan et al.
System:
The UNT Digital Library
Effect of amorphous cellulose on the deformation behavior of cellulose composites: molecular dynamics simulation
This article is a study aimed at predicting and enhancing the properties of the blend, as well as exploring the mechanism, of a polylactic acid (PLA)/amorphous cellulose composite system through molecular characterization. The static properties of the amorphous cellulose/PLA blend model and the mechanical response of the material under uniaxial tension were studied by molecular dynamics simulation to establish the structure–property relationship.
Date:
June 8, 2021
Creator:
Ren, Zechun; Guo, Rui; Zhou, Xinyuan; Bi, Hongjie; Jia, Xin; Xu, Min et al.
System:
The UNT Digital Library
Protein functional module identification method combining topological features and gene expression data
Article conducting an intensive study on the problems of low recognition efficiency and noise in the overlapping structure of protein functional modules, based on topological characteristics of PPI network. Developing a protein function module recognition method ECTG based on Topological Features and Gene expression data for Protein Complex Identification. The experimental results show that the ECTG algorithm can detect protein functional modules better.
Date:
June 8, 2021
Creator:
Zhao, Zihao; Xu, Wenjun; Chen, Aiwen; Han, Yueyue; Xia, Shengrong; Xiang, ChuLei et al.
System:
The UNT Digital Library