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Securing Industrial Control Systems: Components, Cyber Threats, and Machine Learning-Driven Defense Strategies
Article describes how Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition (SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers (PLC), play a crucial role in managing and regulating industrial processes. This article presents an overview of ICS security, covering its components, protocols, industrial applications, and performance aspects.
Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder
Article describes how Aerosol Optical Depth (AOD)is a crucial atmospheric parameter in comprehending climate change, air quality, and its impacts on human health. This study presents a new solution to this challenge by providing a long-term, gapless satellite-derived AOD dataset for Texas from 2010 to 2022, utilizing Moderate Resolution Imaging Spectroradiometer (MODIS) multi-angle implementation of atmospheric correction (MAIAC) products.
Phase-Specific Damage Tolerance of a Eutectic High Entropy Alloy
Article describes how phase-specific damage tolerance was investigated for the AlCoCrFeNi2.1 high entropy alloy with a lamellar microstructure of L12 and B2 phases. Distinct differences in micro-scale deformation mechanisms were reflected in post-compression fractography, with L12-phase cantilevers showing typical characteristics of ductile failure, including the activation of multiple slip lanes, shear lips at the notch edge, and tearing inside the notch versus quasi-cleavage fracture with cleavage facets and a river pattern on the fracture surface for the B2-phase cantilevers.
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.
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.
Extended CT Void Analysis in FDM Additive Manufacturing Components
This article provides an extended analysis of void shape by means of X-ray computed tomography (CT) applied to fused deposition modeling (FDM) samples. Furthermore, a relation between the tensile mechanical properties and digital void measurements is established. The results lead to the formulation of a novel criterion that predicts the mechanical behavior of AM components.
JS-MA: A Jensen-Shannon Divergence Based Method for Mapping Genome-Wide Associations on Multiple Diseases
Article develops a a simple, fast, and powerful method, named JS-MA, based on Jensen-Shannon divergence and agglomerative hierarchical clustering, to detect the genome-wide multi-locus interactions associated with multiple diseases.
In-vitro biomineralization and biocompatibility of friction stir additively manufactured AZ31B magnesium alloy-hydroxyapatite composites
Article presents research where friction stir additive manufacturing technique was employed to fabricate AZ31B magnesium-hydroxyapatite composite. The study aims to evaluate effect of hydroxyapatite (HA, Ca₁₀(PO₄)₆OH₂), a ceramic similar to natural bone, into AZ31B Mg alloy matrix on biomineralization and biocompatibility.
Inks of dielectric h-BN and semiconducting WS₂ for capacitive structures with graphene
This article presents dispersions of WS₂ and h-BN using cyclohexanone and terpineol as the solvent to subsequently print prototype capacitive nanodevices.
Fabrication of densified wood via synergy of chemical pretreatment, hot-pressing and post mechanical fixation
Article describes examination of the appearance, color, chemical composition, and physiology and mechanical properties of densified Abies wood before and after densification treatment using a colorimeter, FTIR and mechanical testing machine.
Decellularization Strategies for Regenerative Medicine: From Processing Techniques to Applications
This review compares the advantages and disadvantages of decellularization methods in terms of their ability to retain desired extracellular matrix characteristics for particular tissues and organs.
Improvement of mechanical, humidity resistance and thermal properties of heat-treated rubber wood by impregnation of SiO₂ precursor
This article proposes a novel methodology by impregnating SiO₂ precursor solution into the heat-treated wood to improve the mechanical properties.
Combined effects of ZnO particle deposition and heat treatment on dimensional stability and mechanical properties of poplar wood
This article proposes a one-step wood modification method by combining the deposition of ZnO particles on wood surface and heat treatment.
Atomic Simulations of Twist Grain Boundary Structures and Deofrmation Behaviors in Aluminum
This article investigates twist grain boundaries with molecular dynamic simulations to reveal their atomic structures, energy and interactions with dislocations.
Influence of Silanization Treatment on Thermomechanical Properties of Multiwalled Carbon Nanotubes: Poly(methylmethacrylate) Nanocomposites
This article reports results for functionalized as well as unfunctionalized carbon nanotube polymer composites.
Liquid Cooled Stirling Engine with a Segmented Rotary Displacer
Patent relating to a liquid cooled stirling engine with a segmented rotary displacer.
Method for using Filed Emitter Arrays in Chemical and Biological Hazard Mitigation and Remediation
Patent relating to a method for using field emitter arrays in chemical and biological hazard mitigation and remediation.
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