Article studying c/a ratio and transformation volume change of h.c.p. (hexagonal close packed) epsilon martensite phase in transformative high entropy alloys (HEAs) quantified as functions of alloy chemistry, friction stir processing and tensile deformation. The study reveals that while intrinsic c/a is dependent on alloying elements, c/a of epsilon in transformative HEAs changes with processing and deformation.

This article microstructurally tailors an exceptionally high-strength titanium alloy, Ti-6Al-2Sn-4Zr-6Mo (Ti6246) through friction stir processing (FSP) in order to provide enhanced weight savings and improved fuel efficiency. The specific strength attained in one of the conditions is close to 450 MPa m³/mg, which is about 22% to 85% greater than any commercially available metallic material. This novel nano particle strengthened Ti alloy is a potential replacement for many structural alloys, enabling significant weight reduction opportunities.

This article demonstrates a facile single-step processing route for the development of bimodal grain structure in austenitic stainless steel, SS316L.

Article evaluating wear and corrosion behavior for the AlCoCrFeNi2.1 eutectic high entropy alloy consisting of BCC (B2), and FCC (L12) lamellae.

This article presents physical property data (both published and previously unpublished) on a single batch of International Simple Glass (ISG), which was cast into individual ingots that were distributed to the collaborators. Properties from the atomic scale to the macroscale, including composition and elemental impurities, phase purity, density, thermal properties, mechanical properties, optical and vibrational properties, and the results of molecular dynamics simulations are presented, as well as information on the surface composition and morphology after polishing. Although the existing literature on the alteration of ISG is not extensively reviewed here, the results of well-controlled static alteration experiments are presented here as a point of reference for other performance investigations.

Article exploring a suitable material for designing and fabricating personalized, cost-effective and bio-degradable orthoses. A finger orthosis was chosen as an example to explore a suitable material, personalized design method, and fabrication with a fuse-deposition-modeling (FDM) open-source 3D printer. Thermoplastic polyurethane (TPU)/polylactic acid (PLA) composite filaments were explored for 3D printing.

Article presented at the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). The study investigates spatial information of tweets whereby the authors present a corpus of tweets annotated with temporally-anchored spatial information involving the author.

This article develops a deep-learning algorithm for an on-loom fabric defect inspection system by combining the techniques of image pre-processing, fabric motif determination, candidate defect map generation, and convolutional neural networks (CNNs).

This article provides a review of the Bayesian-inference-based methods applied to Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) studies with a focus on the detection of the viral mutations and various problems which are correlated to these mutations. The authors also provide a summary of the Bayesian methods' applications toward these viruses' studies, where several important and useful results have been discovered.

This article critically discusses the role of Magnesium by reviewing recent literature and available data concerning the role of magnesium in neurological disorders. The authors summarize the role of Mg in neurological disorders to illustrate the symptoms caused by Mg-deficiency and the possible underlying mechanisms.

This article presents a study that aims to understand the fundamental aspects of the laser-bone interaction in three-dimensional laser machining of the bone through an integrated experimental-computational approach.

This article performs X-ray photoelectron, Raman, and diffraction studies of few-layered pulsed laser deposited WS₂ films as a function of laser fluence and frequency to understand the impact on structure and properties.

Article investigates a novel genetically themed hierarchical algorithm (GTHA) to design Fresnel lens solar concentrators that match with the distinct energy input and spatial geometry of various thermal applications.

Article presenting a simple strategy to process emojis in Tweets: replace them with their natural language description and use pretrained word embeddings as normally done with standard words. Results show that this strategy is more effective than using pretrained emoji embeddings for tweet classification.

Article presents work on annotating reflections, an essential counselor behavioral code in motivational interviewing for psychotherapy on conversations that are a combination of casual and therapeutic dialogue.

Article introduces the first taxonomy and annotated educational corpus of questions that aims to help with the analysis of student responses.

Article introduces a large corpus of metaphor novelty scores for syntactically related word pairs, and releases it freely to the research community. This article describes the corpus, includes an analysis of its score distribution and the types of word pairs included in the corpus, and provides a brief overview of standard metaphor detection corpora.

Article presenting a two-step methodology to annotate temporally-anchored spatial knowledge on top of OntoNotes.

Article (1) developing a practical framework to extract authorization attributes of hierarchical ABAC system from natural language artifacts, and (2) generating a set of realistic synthetic natural language access control policies (NLACPs) to evaluate the proposed framework.

Author Manuscript version of an article designing a new type of electrocatalysts consisting of transition metal halide molecules covered by graphene sheets. This work provides a theoretical base for rationally designing durable electrocatalysts with excellent catalytic activities.

This article describes a new dataset and experiments to determine whether authors of tweets possess the objects they tweet about.

Article presents a set of dimensions to characterize the association between two people. The authors introduce and analyze a new corpus, and present experimental results showing that the task can be automated.

Article presents a corpus and experimental results to extract possession relations over time, using Wikipedia articles about artworks.

This article detects fine-grained emotion types from health-related posts and shows how high-level and abstract features derived from deep neural networks combined with lexicon-based features can be employed to detect emotions.