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Suppression of the antitumoral activity of natural killer cells under indirect coculture with cancer-associated fibroblasts in a pancreatic TIME-on-chip model (open access)

Suppression of the antitumoral activity of natural killer cells under indirect coculture with cancer-associated fibroblasts in a pancreatic TIME-on-chip model

Article describes how recently, natural killer cells emerged as a treatment option for various solid tumors. The effect of activated pancreatic stellate cells on natural killer cell-mediated anticancer efficacy under three-dimensional coculture conditions was investigated.
Date: September 27, 2023
Creator: Kim, Hyun-Ah; Kim, Hyunsoo; Nam, Min-Kyung; Park, Jong Kook; Lee, Moo-Yeal; Chung, Seok et al.
System: The UNT Digital Library
Highly Pseudocapacitive Storage Design Principles of Heteroatom-Doped Graphene anode in Calcium-Ion Batteries (open access)

Highly Pseudocapacitive Storage Design Principles of Heteroatom-Doped Graphene anode in Calcium-Ion Batteries

Article describes how pseudocapacitive storage of multivalent ions, especially Ca2+, in heteroatom-doped carbon nanomaterials is promising to achieve both high energy and power densities, but there is the lack of pseudocapacitive theories that enable rational design of the materials for calcium-ion batteries.
Date: August 22, 2023
Creator: Gao, Yong; Li, Zhenglong; Weng, Pan; Cui, Wengang; Wang, Xiaowei; Yang, Yaxiong et al.
System: The UNT Digital Library
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs (open access)

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs

Article describes how today's large-scale scientific applications running on high-performance computing (HPC) systems generate vast data volumes. Thus, data compression is becoming a critical technique to mitigate the storage burden and data-movement cost. In this paper, the authors develop a fast and high- ratio error-bounded lossy compressor on GPUs for scientific data (called FZ-GPU).
Date: August 7, 2023
Creator: Zhang, Bouyan; Tian, Jiannan; Di, Sheng; Yu, Xiaodong; Feng, Yunhe; Liang, Xin et al.
System: The UNT Digital Library
Harnessing nanofiber alignment and pore size to promote stem cell self-renewal and differentiation (open access)

Harnessing nanofiber alignment and pore size to promote stem cell self-renewal and differentiation

Article describes how stem cell therapy holds immense potential for regenerative medicine, but its applications are limited due to the loss of pluripotency during in vitro expansion. This study reveals that the arrangement of electrospun fibers aligns with the distribution and strength of the electric field through both experimentation and simulation.
Date: July 25, 2023
Creator: Wei, Qiang; Blake, Laurence; Liu, Jiafeng; Man, Kun; Liang, Cindy; Teoh, Alexandra et al.
System: The UNT Digital Library
Polypropylene-Based Polymer Locking Ligation System Manufacturing by the Ultrasonic Micromolding Process (open access)

Polypropylene-Based Polymer Locking Ligation System Manufacturing by the Ultrasonic Micromolding Process

Article describes how in recent years, there has been a growing demand for biocompatible medical devices on the microscale. The authors of the article extensively investigated various processing parameters such as vibration amplitude, temperature, and injection velocity.
Date: July 15, 2023
Creator: Elías-Grajeda, Alex; Vázquez-Lepe, Elisa; Siller Carrillo, Héctor Rafael; Perales-Martínez, Imperio Anel; Resédiz-Hernández, Emiliano; Ramírez-Herrera, Claudio Angélica et al.
System: The UNT Digital Library
MXene/graphene oxide nanocomposites for friction and wear reduction of rough steel surfaces (open access)

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
Tribocatalytically-active nickel/cobalt phosphorous films for universal protection in a hydrocarbon-rich environment (open access)

Tribocatalytically-active nickel/cobalt phosphorous films for universal protection in a hydrocarbon-rich environment

Article describes how high-contact stresses generated at the sliding interfaces during their relative movement provide a unique combination of local heating and shear- and load-induced compression conditions. The authors of the article employ the electrodeposition process to design a coating composed of a hard cobalt-phosphorous matrix with the inclusion of tribocatalytically-active nickel clusters.
Date: July 5, 2023
Creator: Shirani, Asghar; Al Sulaimi, Rawan; Macknojia, Ali Zayaan; Eskandari, Mohammad & Berman, Diana
System: The UNT Digital Library
High-Fidelity Conjugate Heat Transfer Simulation of Micro-Channel Heat Exchanger (open access)

High-Fidelity Conjugate Heat Transfer Simulation of Micro-Channel Heat Exchanger

Article describes how high-fidelity conjugate heat transfer simulations are used to model a micro-channel heat exchanger (MCHE) in a crossflow to study its thermal-hydraulic performance. Three different microchannel geometries, namely circular, triangular, and square with louver-shaped fins, are considered.
Date: July 1, 2023
Creator: Ahmed, Hossain; Sadat, Hamid & Nasrazadani, Seifollah
System: The UNT Digital Library
PPAD: a deep learning architecture to predict progression of Alzheimer’s disease (open access)

PPAD: a deep learning architecture to predict progression of Alzheimer’s disease

Article asserts that Alzheimer’s disease (AD) is a neurodegenerative disease that affects millions of people worldwide. The authors of the article propose two deep learning architectures based on RNN, namely Predicting Progression of Alzheimer’s Disease (PPAD) and PPAD-Autoencoder.
Date: June 30, 2023
Creator: Olaimat, Mohammad Al; Martinez, Jared; Saeed, Fahad & Bozdag, Serdar
System: The UNT Digital Library
SUPREME: multiomics data integration using graph convolutional networks (open access)

SUPREME: multiomics data integration using graph convolutional networks

Article states that, to pave the road towards precision medicine in cancer, patients with similar biology ought to be grouped into same cancer subtypes. On breast cancer subtyping, unlike existing tools, SUPREME generates patient embeddings from multiple similarity networks utilizing multiomics features and integrates them with raw features to capture complementary signals.
Date: June 28, 2023
Creator: Kesimoglu, Ziynet Nesibe & Bozdag, Serdar
System: The UNT Digital Library
Numerical Analysis of Cambered Plate Configurations under Low Reynolds Numbers and at a Low-Density Condition (open access)

Numerical Analysis of Cambered Plate Configurations under Low Reynolds Numbers and at a Low-Density Condition

Article discusses how, after one year of operation, the Ingenuity rotorcraft and the Perseverance rover continue their exploration missions on Mars. Succeeding the technology demonstration phase, by proving its flight capabilities, Ingenuity transitioned to a new mission stage to explore modes of flight exploration for future scouting missions. The author's research intends to analyze, using numerical simulations, the aerodynamic conditions such as those experienced by Ingenuity during its flight missions.
Date: June 27, 2023
Creator: Saez, Aleandro; Manzo, Maurizio & Ciarcià, Marco
System: The UNT Digital Library
NextGen-Malloc: Giving Memory Allocator Its Own Room in the House (open access)

NextGen-Malloc: Giving Memory Allocator Its Own Room in the House

Article describes how memory allocation and management have a significant impact on performance and energy of modern applications. The authors observe that performance can vary by as much as 72% in some applications based on which memory allocator is used, and in this paper, the authors make a case for offloading memory allocation (and other similar management functions) from main processing cores to other processing units to boost performance, reduce energy consumption, and customize services to specific applications or application domains.
Date: June 22, 2023
Creator: Li, Ruihao; Wu, Qinzhe; Kavi, Krishna M.; Mehta, Gayatri; Yadwadkar, Neeraja J. & John, Lizy Kurian
System: The UNT Digital Library
Boosting Piezoelectricity by 3D Printing PVDF-MoS2 Composite as a Conformal and High-Sensitivity Piezoelectric Sensor (open access)

Boosting Piezoelectricity by 3D Printing PVDF-MoS2 Composite as a Conformal and High-Sensitivity Piezoelectric Sensor

Article describes how additively manufactured flexible and high-performance piezoelectric devices are highly desirable for sensing and energy harvesting of 3D conformal structures. This study reports a significantly enhanced piezoelectricity in polyvinylidene fluoride (PVDF) achieved through the in situ dipole alignment of PVDF within PVDF-2D molybdenum disulfide composite by 3D printing.
Date: June 21, 2023
Creator: Islam, M.D, Nurul; Rupom, Rifat Hasan; Adhikari, Pashupati R.; Demchuk, Zoriana; Popov, Ivan; Sokolov, Alexei P. et al.
System: The UNT Digital Library
Comparison of Thermal Effectiveness and Crevice Corrosion Risk of Fin Geometry on All-Aluminum Microchannel Heat Exchangers (open access)

Comparison of Thermal Effectiveness and Crevice Corrosion Risk of Fin Geometry on All-Aluminum Microchannel Heat Exchangers

Article all-aluminum microchannel heat exchangers have recently gained popularity in the heating, ventilation, and air conditioning industry. Despite their attractive thermal performance design, these heat exchangers make coils used in automotive, commercial, and residential applications prone to crevice corrosion. This study uses high-fidelity conjugate heat transfer simulations to model a micro channel heat exchanger system that includes fins and tubes with crossflow to compare their thermal effectiveness to gain insight into potential crevice corrosion of the MCHE alloy.
Date: June 12, 2023
Creator: Ahmed, Hossain; Nasrazadani, Seifollah & Sadat, Hamid
System: The UNT Digital Library
Underlying factors determining grain morphologies in high-strength titanium alloys processed by additive manufacturing (open access)

Underlying factors determining grain morphologies in high-strength titanium alloys processed by additive manufacturing

Article describes how, in recent research, additions of solute to Ti and some Ti-based alloys have been employed to produce equiaxed microstructures when processing these materials using additive manufacturing. The present study develops a computational scheme for guiding the selection of such alloying additions, and the minimum amounts required, to effect the columnar to equiaxed microstructural transitions.
Date: June 6, 2023
Creator: Nartu, Mohan S. K. K. Y.; Welk, Brian A.; Mantri, Srinivas Aditya; Taylor, Nevin L.; Viswanathan, Gopal B.; Dahotre, Narendra B. et al.
System: The UNT Digital Library
Thermal heat transfer and energy modeling through incorporation of phase change materials (PCMs) into polyurethane foam (open access)

Thermal heat transfer and energy modeling through incorporation of phase change materials (PCMs) into polyurethane foam

Article describes how decreasing HVAC energy consumption through insulation effectiveness enables low energy use, low carbon emissions, and high thermal comfort in sustainable buildings. In this paper, two PCMs with transition temperature above and below the outdoor temperature incorporated in highly porous flexible polyurethane foam were evaluated using a one-dimensional (1D) foam core panel built in COMSOL Multiphysics®.
Date: June 3, 2023
Creator: Nandy, Aditi; Houl, Yassine; Zhao, Weihuan & D'Souza, Nandika Anne, 1967-
System: The UNT Digital Library
NRPreTo: A Machine Learning-Based Nuclear Receptor and Subfamily Prediction Tool (open access)

NRPreTo: A Machine Learning-Based Nuclear Receptor and Subfamily Prediction Tool

Article asserts that the nuclear receptor (NR) superfamily includes phylogenetically related ligand-activated proteins, which play a key role in various cellular activities. The authors developed Nuclear Receptor Prediction Tool (NRPreTo), a two-level NR prediction tool with a unique training approach where in addition to the sequence-based features used by existing NR prediction tools, six additional feature groups depicting various physiochemical, structural, and evolutionary features of proteins were utilized.
Date: May 30, 2023
Creator: Madugula, Sita Sirisha; Pandey, Suman; Amalapurapu, Shreya & Bozdag, Serdar
System: The UNT Digital Library
Light-Controlled Cell–Cell Assembly Using Photocaged Oligonucleotides (open access)

Light-Controlled Cell–Cell Assembly Using Photocaged Oligonucleotides

Article asserts that while techniques that allow one to control the arrangement of cells and direct contact between different cell types have been developed that expand upon simple co-culture methods, specific control over heterojunctions that form between cells is not easily accomplished with current methods, such as 3D cell-printing. In this article, DNA-mediated cell interactions are combined with cell-compatible photolithographic approaches to control cell assembly.
Date: May 23, 2023
Creator: Mathis, Katelyn; Kohon, Agia Ibnat; Black, Stephen & Meckes, Brian
System: The UNT Digital Library
Advanced Air Mobility Operation and Infrastructure for Sustainable Connected eVTOL Vehicle (open access)

Advanced Air Mobility Operation and Infrastructure for Sustainable Connected eVTOL Vehicle

Article discusses how advanced air mobility (AAM) is an emerging sector in aviation aiming to offer secure, efficient, and eco-friendly transportation utilizing electric vertical takeoff and landing (eVTOL) aircraft. This paper introduces a novel concept addressing future flight challenges and proposes a framework for integrating operations, infrastructure, connectivity, and ecosystems in future air mobility.
Date: May 16, 2023
Creator: Al-Rubaye, Saba; Tsourdos, Antonios & Namuduri, Kamesh
System: The UNT Digital Library
Feasibility of PROMIS using computerized adaptive testing during inpatient rehabilitation (open access)

Feasibility of PROMIS using computerized adaptive testing during inpatient rehabilitation

Article describes how there has been an increased significance on patient-reported outcomes in clinical settings. The authors aimed to evaluate the feasibility of administering patient-reported outcome measures by computerized adaptive testing (CAT) using a tablet computer with rehabilitation inpatients, assess workload demands on staff, and estimate the extent to which rehabilitation inpatients have elevated T-scores on six Patient Reported Outcomes Measurement Information System (PROMIS) measures.
Date: May 10, 2023
Creator: Rafiq, Riyad Bin; Yount, Susan; Jerousek, Sara; Roth, Elliot J.; Cella, David; Albert, Mark et al.
System: The UNT Digital Library
A Critical Review of Laser Shock Peening of Aircraft Engine Components (open access)

A Critical Review of Laser Shock Peening of Aircraft Engine Components

Article describes how many aviation accidents are caused by the failure of aircraft engine components, and engine blades are especially vulnerable to high-cycle fatigue fracture in severe working environments as well as to impact damage caused by foreign objects. This review provides an overview of the development of LSP for use in treating aircraft engine components over the past three decades, with a brief introduction to the development of high-energy pulsed lasers for LSP.
Date: May 3, 2023
Creator: Ye, Yixuan; Zhang, Yu; Huang, Tao; Zou, Shikun; Dong, Yalin; Ding, Han et al.
System: The UNT Digital Library
Tuning the temperature range of superelastic Ni-Ti alloys for elastocaloric cooling via thermal processing (open access)

Tuning the temperature range of superelastic Ni-Ti alloys for elastocaloric cooling via thermal processing

Article describes how caloric cooling enlisting solid-state refrigerants is potentially a promising eco-friendly alternative to conventional cooling based on vapor compression. Here, the authors have explored tuning the operation temperature range of Ni50.8Ti49.2 for elastocaloric cooling. In particular, they have studied the effect of thermal treatments (a.k.a. aging) on the transformation temperature, superelasticity, and elastocaloric effects of Ni50.8Ti49.2 shape memory alloy tubes.
Date: April 28, 2023
Creator: Yamazaki, Takahiro; Montagnoli, Andre L.; Young, Marcus L. & Takeuchi, Ichiro
System: The UNT Digital Library
Mapping hierarchical and heterogeneous micromechanics of a transformative high entropy alloy by nanoindentation and machine learning augmented clustering (open access)

Mapping hierarchical and heterogeneous micromechanics of a transformative high entropy alloy by nanoindentation and machine learning augmented clustering

Article describes how conventional macromechanical tests provide limited insights into complex hierarchical deformation behavior of a transformative high entropy alloy (HEA). In this work, a high throughput microstructure-micromechanical correlative study is presented by combining high-resolution nanoindentation, site-specific microscopy, and Gaussian mixture model (GMM) clustering.
Date: April 26, 2023
Creator: Dhal, Abhijeet; Haridas, Ravi Sankar; Agrawal, Priyanka; Gupta, Sanya & Mishra, R. S.
System: The UNT Digital Library
A Review of Rehabilitative and Assistive Technologies for Upper-Body Exoskeletal Devices (open access)

A Review of Rehabilitative and Assistive Technologies for Upper-Body Exoskeletal Devices

Authors state that this journal review article focuses on the use of assistive and rehabilitative exoskeletons as a new opportunity for individuals with diminished mobility. Overall, this article serves as a valuable resource for individuals working in the field of assistive and rehabilitative exoskeletons, providing insight into the state of the art and potential areas for improvement.
Date: April 20, 2023
Creator: Hays, Emilly; Slayton, Jack; Tejeda-Godinez, Gary; Carney, Emily; Cruz, Kobe; Exley, Trevor et al.
System: The UNT Digital Library