Article states that mass-spectrometry-based screening of lipid extracts of wounded and unwounded leaves from a collection of 364 Arabidopsis thaliana T-DNA insertion lines produced lipid profiles that were scored on the number and significance of their differences from the leaf lipid profiles of wild-type plants. The analysis identified Salk_109175C, which displayed alterations in leaf chloroplast glycerolipid composition, including a decreased ratio between two monogalactosyldiacylglycerol (MGDG) molecular species, MGDG(18:3/16:3) and MGDG(18:3/18:3).

This article investigates the long-term effects of developmental hypoxia on mitochondrial function in a species that regularly encounters hypoxia during development. Findings speculate that adjustments might improve mitochondrial hypoxia tolerance, which would be beneficial for turtles during breath-hold diving and overwintering in anoxic environments.

This article investigates the reliability and effectiveness of nonwoven zinc(II) oxide-polyvinylidene fluoride (ZnO-PVDF) nanocomposite fiber textiles as an embedded corrosion sensor using an accelerated thermal cyclic method paired to electrochemical impedance spectroscopy (EIS). Results suggest that the flexible sensor is reliable at both monitoring the corrosion and acting as a corrosion barrier.

Article describes how, although pennycress, a winter annual, could be grown as a dedicated bioenergy crop, an increase in its seed oil content is required to improve its economic competitiveness. In this work, the authors combined biomass composition with metabolomic and transcriptomic studies of developing embryos from 22 pennycress natural variants to identify targets for oil improvement.

Developing, implementing, and managing metadata is crucial to successful knowledge management, and academic libraries have traditionally played a central role in these activities. The Arabian Gulf countries are underrepresented in the existing research into library metadata practices. This exploratory study used semi-structured interviews of metadata managers at 8 universities with the goal of developing understanding of the current state of metadata practices, including descriptive cataloging, identity management, and knowledge organization in academic libraries of three Arabian Gulf countries (Kuwait, Oman, and Qatar), as well as potential future developments to facilitate discovery of resources. Findings provide insights into this previously under-researched area and contribute to understanding of knowledge management and risks on a global scale.

Article investigating HUMIRA effects mentioned in Twitter posts using a relational similarity-based method. The authors were able to identify effects previously known as well as potentially unreported, which demonstrates the power of this method and its potential for studying effects of other medications shared by Twitter users.

Presentation given at the 2022 Web Archiving and Digital Libraries Virtual Workshop, in conjunction with the Joint Conference on Digital Libraries (JCDL), on June 24, 2022. This presentation discusses the End of Term (EOT) Web Archive project and process of organizing, staging, processing, and moving these collections into the Amazon cloud.

Short paper presented at the 2022 Web Archiving and Digital Libraries Virtual Workshop, in conjunction with the Joint Conference on Digital Libraries (JCDL), on June 24, 2022. The paper discusses the End of Term (EOT) Web Archive project and process of organizing, staging, processing, and moving these collections into the Amazon cloud.

Presentation exploring leadership as a multi-directional relationship. It was presented at the 2023 Conference on Academic Library Management held June 5-9, 2023.

Accepted Manuscript version of an article presenting the design and development of a smart garment called MyWear that continuously monitors and collects physiological data. It can analyze muscle activity, stress levels, and heart rate variations and send all the data to the cloud. With a in-built alert system, it can notify the associated medical officials if necessary. The authors also propose a deep neural network model that classifies heartbeat data into abnormalities with 96.9% accuracy and 97.3% precision.

Article summarizes various progressive aspects of nanomagnets pertaining to their production with an emphasis on sustainable biomimetic approaches, particularly cancer therapy.

Article asserts that the COVID-19 pandemic spurred older adults to use information and communication technology (ICT) for maintaining connections and engagement during social distancing. This paper highlights the gap in the literature regarding the increased privacy and data security risks for older adults adopting technology due to isolation during the pandemic.

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.

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 asserts that ammonia (NH3) is a promising carbon-free energy carrier. The authors used experimental characterization and modeling to study the participation of alkali and sulfur species in ammonia conversion in a post-flame environment, focusing on the characteristics of NO emissions and NH3 slip.

Article develops a homogenization theory, representing the low-frequency limit for a phononic crystal of cylinders embedded in a viscous fluid.

This article is a review that examines and summarises the available knowledge base on intervention techniques focused on positive memories. This review serves as a quick reference guide to help professionals’ access to descriptions and information on empirical evidence of positive memory techniques, improving their therapeutic arsenal to enhance well-being and therapeutic outcomes in their patients.

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.

Evaluating the impact of learning from climate data, in addition to bridge data, on the performance of concrete deck condition rating prediction is critical for identifying the right data needed to enhance bridge maintenance decision making. Few studies have considered such an evaluation and utilized a small size of samples that prevent revealing the knowledge hidden within the big size of data. Although, such evaluation over big data seems quite necessary, class imbalance problem makes it challenging. To alleviate such a problem, five states, including Alabama, Iowa, New York, Pennsylvania, and South Carolina, were selected as the case study. Not only are the states located in three different climatically consistent regions defined by the National Ocean and Atmospheric Administration (NOAA), but also their concrete deck conditions ratings are somewhat balanced. To conduct the evaluation, this research developed the bridge data set pertaining to 56,288 bridges across the afore-mentioned states through employing the GIS technology. The bridge data set contains bridge data derived from National Bridge Inventory (NBI), and climate data derived from Parameter-elevation Relationships on Independent Slopes Model (PRISM) climate maps and NOAA. Then, two machine learning algorithms, including random forest and GBM, were trained - with and without climate …

This article aims to identify the sociodemographic predictors associated with overnight and emergency hospital treatment among a sample of homeless adults.

Article examining young children’s reading preference by text type. Discourse and observation analyses show children engage differently between text types. Findings have implications for parents, teachers, and teacher educators support today’s young children as readers.

This article presents a study on the probabilistic assessment of the seismic performance and vulnerability of corrugated steel plate shear walls (CoSPSWs) using fragility functions.

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.

This article investigates global metabolic responses to lignin pathway perturbations in the model grass Brachypodium distachyon using a systems biology approach.