Article combining TIN with the topological interference management (TIM) framework that identifies optimal interference avoidance schemes and formulates a TIM-TIN problem for multilevel topological interference management, wherein only a coarse knowledge of channel strengths and no knowledge of channel phases is available to transmitters.

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 that introduces Natlog, a lightweight Logic Programming language, sharing Prolog's unification-driven execution model, but with a simplified syntax and semantics. The authors' proof-of-concept Natlog implementation is tightly embedded in the Python-based deep-learning ecosystem with focus on content-driven indexing of ground term datasets. As an overriding of the authors symbolic indexing algorithm, the same function can be delegated to a neural network, serving ground facts to Natlog's resolution engine. The open-source implementation is available as a Python package at t https://pypi.org/project/natlog/.

This article focuses on practical computing systems with heterogeneous computing resources, and designs a novel CDC approach, called batch-processing based coded computing (BPCC), which exploits the fact that every computing node can obtain some coded results before it completes the whole task. The scheme demonstrates promising performance in terms of high computational efficiency and robustness to uncertain disturbances.

This article studies the problem of comparing the similarity and dissimilarity between two distinct vehicular trajectories by proposing an adjacency-based metric. This approach has a broad application in building truthfulness by comparing the similarity between two vehicles and evaluating the dissimilarity between two distinct paths in hazardous materials transportation.

This article reports a dramatic increase in the grain boundary strengthening or Hall-Petch coefficient, K, by systematically investigating the effect of Al addition on tensile yield strength in CoFeNi and CoCrFeNi high entropy alloys (HEAs) or complex concentrated alloys (CCAs). Such a trend is attributed to the ordering mediated nano-clustering in Al containing HEA/CCAs.

This article is a review that illustrates the involvement of MMP-13 in the initiation and progression of Osteoarthritis (OA) through the regulation of MMP-13 activity at the molecular and epigenetic levels, as well as the strategies that have been employed against MMP-13. The aim of this review is to identify MMP-13 as an attractive target for inhibitor development in the treatment of OA.

This article is motivated by the promise of emerging nanocomposites and reports for the first time the adsorption performance of an aluminum-based MOF (MIL-53(Al)) and GO nanocomposite for Pb(II) removal from aqueous solutions.

This article provides a big picture of PIoT architecture, vision, and future research scope. The exploratory study of PIoT is in its infancy, which will explore the expansion of new use cases, service requirements, and the proliferation of PIoT devices. This is a preprint version of this article.

Article

Article describes how psoriasis is a chronic inflammatory skin disease that affects approximately 125 million people worldwide. The goal of the authors' study is to derive a powerful predictive model for psoriasis disease based on only routine hospital tests.

This article showcasing the editorial team welcomes all readers to the proceedings of International Conference on Recent Advancements in Biomedical Engineering (ICRABE-2021). The conference was inspired by the fusion of science and engineering principles in healthcare services and products. The conference aims to initiate exchange of innovative ideas between students, research scholar and faculties. Specifically, mechanical principles, power control for medical devices, nanomaterials and associated technologies were focused. This proceeding comprises of a broad spectrum of techniques to expose the recent advancements in the field of physics for healthcare application. A List of the Organizing Committee, Advisory Committee, Technical Committee are available in the pdf.

Data management plan for the grant "Process and Materials Development for Additive Manufacturing (AM) of Tungsten-Based Alloys with Superior High Temperature Performance and Good Room Temperature Ductility." Research on CALPHAD simulations will be conducted to optimize the chemical composition of tungsten based alloys towards 3D printability while boosting mechanical performance through solid solution and dispersion strengthening. This will followed by powder prototyping to validate the simulation results experimentally and to finalize the chemical composition of interest. Process parameter optimization and post-process heat treatment design will help to achieve optimal low-to-high temperature mechanical properties. Mechanical testing and microstructural characterization will be performed to establish process-microstructure-property relationships.

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 surveys previous work on negation with an emphasis on computational approaches.

Data management plan for the grant, "REU Site: Interdisciplinary Research Experience on Accelerated Deep Learning through A Hardware-Software Collaborative Approach." This Research Experiences for Undergraduates (REU) Site Program at the University of North Texas will enhance the knowledge and research skills of a diverse cohort of undergraduate students through empowering, innovative, and interdisciplinary research experiences in developing Deep Learning applications and systems. The program aims to 1) expose undergraduate students to real-world and cutting-edge research focused on accelerated deep learning through combined hardware and software development; 2) encourage more undergraduate students to continue their academic careers and seek graduate degrees in computer science, computer engineering, and related disciplines; 3) develop research skills and improve communication and collaborative skills in undergraduate students.

Article reviewing the modeling and verification of products derived from biomass pyrolysis and discussing the possible solutions towards more accurate modeling of biomass pyrolysis.

Accepted Manuscript version of an article introducing the innovative idea of the Internet-of-Agro-Things (IoAT) with an explanation of the automatic detection of plant disease for the development of Agriculture Cyber-Physical System (ACPS). An accuracy of 99.24% is achieved by the proposed plant disease prediction framework.

Data management plan for the grant, "Self-powered Wireless Sensors and Interfaces for UAVs." Self-powered wireless sensors acting as nanogenerators can not only harvest ambient environment energy during the flight but also are capable of wirelessly monitoring pressure, temperature and other parameters to make the UAV truly an intelligent transportation system (ITS). This proposal requests the acquisition of a Mask Aligner to pattern such self-powered sensors with nano-antenna structures for wireless communication. The addition of the proposed system will enable researchers to study novel 2D materials as self-powered sensors and actuators. The proposed infrastructure would allow the development of smart, autonomous mobility systems with breakthroughs in intelligent technologies, research and workforce preparation.

This article proposes a strategy for preparing advanced soy protein (SP)-based films by solution casting of SP and hydroxyl and primary amine-containing hyperbranched polysiloxane (HPSA). It offers a simple methodology for the design of mechanically robust, recyclable, and biodegradable composite films, which have potential applications in the fabrication of high-performance, high-transparency, and anti-counterfeiting packaging materials.

This article presents the results of a prospective study investigating a proof-of-concept, smartphone-based, online system for fall detection and notification. Apart from functioning as a practical fall monitoring instrument, this system may serve as a valuable research tool, enable future studies to scale their ability to capture fall-related data, and help researchers and clinicians to investigate real-falls.

This article develops a strategy to fabricate a novel bio-based film with excellent toughness and high strength.

This article proposes a novel preconditioned and accelerated Gauss–Siedel algorithm referred to as Symmetric Successive Overrelaxation Preconditioned Gauss-Seidel (SSORGS) to address the signal detection challenges associated with massive MIMO technology.

This article presents the governing equations and analytical solutions of the classical and shear deformation theories of functionally graded axisymmetric circular plates.