Data management plan for the grant, "Tunable Plasmonic Multispectral Meta surfaces." This project investigates the fundamental light-matter interactions and light emission tunability of 2D materials augmented by plasmonic gratings. A key application of our fundamental research is the development of the next generation of optical transistor that use photons to transmit signals containing digital information.

Data management plan for the grant, "CICI: UCSS: Secure Containers in High-Performance Computing Infrastructure." Ensuring the security and privacy of high-performance computing (HPC) infrastructures is of utmost importance due to their handling of sensitive data and critical scientific computations. HPC infrastructures commonly employ containers, which provide lightweight and isolated environments for running applications. Nevertheless, containers in HPC infrastructures encounter security challenges, including insecure container images and vulnerabilities related to isolation. Existing container image scanners face a major challenge of low coverage, while current container runtimes struggle to ensure both security and performance for HPC workloads simultaneously. This project addresses these challenges by developing secure containers specifically tailored for HPC infrastructures. The project introduces innovative solutions, including the development of an efficient image vulnerability scanner and a secure container runtime.

Data management plan for the grant, "Collaborative Research: CIF: Medium: Fundamental Limits of Cache-aided Multi-user Private Function Retrieval." This project is motivated by the need to efficiently execute complex queries on massive databases in a way that minimizes the use of communication resources while preserving the privacy of the entity that initiated the query. Such queries are functions of the data points that are stored at remote servers. This project develops a principled and holistic framework for the problem of privately retrieving, at distributed cache-aided nodes, the output of functions based on both data that is locally computed and data that is received from multiple servers.

Data management plan for the grant, "New approach based on enzyme stimulating of peptides for targeting drug resistance breast cancers." In this project, we propose the development of selective self-assembling peptides that form nanofibers via a self-assembling process upon the action of Eyes absent (EYA) enzyme, specific to drug resistance Triple Negative Breast cancer cells (TNBC). The objectives are: Aim 1: Design and synthesize self-assembling peptide substrates for EYA enzymes; Aim 2:Determining the efficacy of peptide substrates for inhibiting TNBC in spheroid 3D cell cultures. The correlation between the enzyme kinetic and the activity of nanostructures for targeting EYA will be evaluated. Aim 3: The apoptosis response of the TNBC cells will be determined. This study will lead to finding the potent peptide substrate and the effective dose for inhibiting TNBC cells with apoptosis cell death.

Article describes how, due to the enormous amounts of data being generated between users, Intelligent Transportation Systems (ITS) are complex Cyber-Physical Systems that necessitate a reliable and safe infrastructure. In this work, the authors explore Distributed Ledger Technology (DLT) and collect data about consensus algorithms and their applicability to be used in the IoV as the backbone of ITS.

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.

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.

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.

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.

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.

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.

Article discusses how, in this study, processing–structure–property relations were systematically investigated at room and elevated temperatures for two FCC Al0.3CoFeCrNi and Al0.3CuFeCrNi2 high-entropy alloys (HEAs), also known as complex concentrated alloys (CCAs), prepared by conventional arc-melting. It was determined that both alloys exhibit FCC single-phase solid solution structure. Micro-indentation and sliding wear tests were performed to study the hardness and tribological behavior and mechanisms at room and elevated temperatures.

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.

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.

Data management plan for the grant, "CAREER: Developing a Flexible Serverless Multimedia Streaming Cloud Platform."

Article reporting optical properties of twisted single-layer 2D+ moiré photonic crystals where there is a weak modulation in z direction, and bilayer moiré-overlapping-moiré photonic crystals. This study leads to a potential application of 2D+ moiré photonic crystal in future on-chip optoelectronic integration.

Data management plan for a NSF grant with a name that has not been determined.

Article describes how COVID-19 affected the world's economy severely and increased the inflation rate in both developed and developing countries. This study performs an analysis of the impact of COVID-19 on public opinion and sentiments regarding the financial markets and crypto markets.

Article describes how this study was aiming at enhancing the stain resistance and durability of varnish on wood surfaces, a super hydrophobic solution was created by blending the synthetic ZIF-8/paraffin with Hexadecyltrimethoxysilane at a specified mass ratio. This superhydrophobic mixture was then directly applied onto the wood varnish coating using a one-step method.

Article describes how embedded devices, constrained by limited memory and processors, require deep learning models to be tailored to their specifications. This research explores customized model architectures for classifying drainage crossing images.

Article describes how cell-derived extracellular matrix has become increasingly popular in tissue engineering applications due to its ability to provide tailored signals for desirable cellular responses. The objective of this study was to assess the efficacy of two detergent-based decellularization methods: a combination of ethylenediaminetetraacetic acid and sodium dodecyl sulfate and a combination of sodium deoxycholate and deoxyribonuclease.

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.

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.

Correction to the article points out an error in Figure 1e. The figure is corrected in this article.