In this chapter, we will restrict our attention to the ferrites and a few other closely related materials. The great interest in ferrites stems from their unique combination of a spontaneous magnetization and a high electrical resistivity. The observed magnetization results from the difference in the magnetizations of two non-equivalent sub-lattices of the magnetic ions in the crystal structure. Materials of this type should strictly be designated as “ferrimagnetic” and in some respects are more closely related to anti-ferromagnetic substances than they are to ferromagnetics in which the magnetization results from the parallel alignment of all the magnetic moments present. We shall not adhere to this special nomenclature except to emphasize effects, which are due to the existence of the sub-lattices.

Ferromagnetic materials

Additive manufacturing (AM) is poised to bring about a revolution in the way products are designed, manufactured, and distributed to end users. This technology has gained significant academic as well as industry interest due to its ability to create complex geometries with customizable material properties. AM has also inspired the development of the maker movement by democratizing design and manufacturing. Due to the rapid proliferation of a wide variety of technologies associated with AM, there is a lack of a comprehensive set of design principles, manufacturing guidelines, and standardization of best practices. These challenges are compounded by the fact that advancements in multiple technologies (for example materials processing, topology optimization) generate a "positive feedback loop" effect in advancing AM. In order to advance research interest and investment in AM technologies, some fundamental questions and trends about the dependencies existing in these avenues need highlighting. The goal of our review paper is to organize this body of knowledge surrounding AM, and present current barriers, findings, and future trends significantly to the researchers. We also discuss fundamental attributes of AM processes, evolution of the AM industry, and the affordances enabled by the emergence of AM in a variety of areas such as geometry processing, material design, and education. We conclude our paper by pointing out future directions such as the "print-it-all" paradigm, that have the potential to re-imagine current research and spawn completely new avenues for exploration. The fundamental attributes and challenges/barriers of Additive Manufacturing (AM).The evolution of research on AM with a focus on engineering capabilities.The affordances enabled by AM such as geometry, material and tools design.The developments in industry, intellectual property, and education-related aspects.The important future trends of AM technologies.

The status, challenges, and future of additive manufacturing in engineering

A comprehensive review on modal parameter-based damage identification methods for beam- or plate-type structures is presented, and the damage identification algorithms in terms of signal processing...

Vibration-based Damage Identification Methods: A Review and Comparative Study:

Guided Lamb waves for identification of damage in composite structures: A review

To ensure manufacturability and mesh independence in density-based topology optimization schemes, it is imperative to use restriction methods. This paper introduces a new class of morphology-based restriction schemes that work as density filters; that is, the physical stiffness of an element is based on a function of the design variables of the neighboring elements. The new filters have the advantage that they eliminate grey scale transitions between solid and void regions. Using different test examples, it is shown that the schemes, in general, provide black and white designs with minimum length-scale constraints on either or both minimum hole sizes and minimum structural feature sizes. The new schemes are compared with methods and modified methods found in the literature.

/pdf/morphology-based-black-and-white-filters-for-topology-2ak69rsyp8.pdf

Morphology-based black and white filters for topology optimization

Damage detection using the Lipschitz exponent estimated by the wavelet transform: applications to vibration modes of a beam

Review of magnetostrictive patch transducers and applications in ultrasonic nondestructive testing of waveguides.

Mac-based mode-tracking in structural topology optimization

Element connectivity parameterization for topology optimization of geometrically nonlinear structures

The efficacy of T-cell therapy is inhibited by various tumor-associated immunosuppressive ligands and soluble factors. Such inhibitory signals turn specific T-cell signaling pathways on or off, impeding the anticancer functions of T cells. Many studies have focused on PD-1 or CTLA-4 blockade to invigorate T-cell functions through CD28/B7 signaling, but obtaining robust clinical outcomes remains challenging. In this study, we use CRISPR/Cas9 to potentiate T-cell function by increasing CD3 signaling via knockout of diacylglycerol kinase (DGK), an enzyme that metabolizes diacylglycerol to phosphatidic acid. Knockout of DGK augmented the effector functions of CAR-T cells in vitro via increased TCR signaling. DGK knockout from CAR-T cells rendered them resistant to soluble immunosuppressive factors such as TGFβ and prostaglandin E2 and sustained effector functions under conditions of repeated tumor stimulation. Moreover, DGK knockout caused significant regression of U87MGvIII glioblastoma tumors through enhanced effector functions in a xenograft mouse model. Collectively, our study shows that knockout of DGK effectively enhances the effector functions of CAR-T cells, suggesting that CRISPR/Cas9-mediated knockout of DGK could be applicable as part of a multifaceted clinical strategy to treat solid cancers.Significance: This novel study demonstrates efficient ablation of diacylglycerol kinase in human CAR-T cells that leads to improved antitumor immunity and may have significant impact in human cancer immunotherapy. Cancer Res; 78(16); 4692-703. ©2018 AACR.

/pdf/crispr-cas9-mediated-knockout-of-dgk-improves-antitumor-12jcd8c9mb.pdf

Yoon Young Kim

Papers

Damage detection using the Lipschitz exponent estimated by the wavelet transform: applications to vibration modes of a beam

Review of magnetostrictive patch transducers and applications in ultrasonic nondestructive testing of waveguides.

Mac-based mode-tracking in structural topology optimization

Element connectivity parameterization for topology optimization of geometrically nonlinear structures

CRISPR/Cas9-Mediated Knockout of DGK Improves Antitumor Activities of Human T Cells