Interpolating between periodicity and discreteness through the fractional Fourier transform

Cataloged from PDF version of article.Periodicity and discreteness are Fourier duals in the same sense as operators such as coordinate multiplication and differentiation, and translation and phase shift. The fractional Fourier transform allows interpolation between such operators which gradually evolve from one member of the dual pair to the other as the fractional order goes from zero to one. Here, we similarly discuss the interpolation between the dual properties of periodicity and discreteness, showing how one evolves into the other as the order goes from zero to one. We also discuss the concepts of partial discreteness and partial periodicity and relate them to fractional discreteness and periodicity

Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit mapping and phenotyping

To facilitate fine-scale phenotyping of whole specimens, we describe here a set of tissue fixation-embedding, detergent-clearing and staining protocols that can be used to transform excised organs and whole organisms into optically transparent samples within 1–2 weeks without compromising their cellular architecture or endogenous fluorescence. PACT (passive CLARITY technique) and PARS (perfusion-assisted agent release in situ) use tissue-hydrogel hybrids to stabilize tissue biomolecules during selective lipid extraction, resulting in enhanced clearing efficiency and sample integrity. Furthermore, the macromolecule permeability of PACT- and PARS-processed tissue hybrids supports the diffusion of immunolabels throughout intact tissue, whereas RIMS (refractive index matching solution) grants high-resolution imaging at depth by further reducing light scattering in cleared and uncleared samples alike. These methods are adaptable to difficult-to-image tissues, such as bone (PACT-deCAL), and to magnified single-cell visualization (ePACT). Together, these protocols and solutions enable phenotyping of subcellular components and tracing cellular connectivity in intact biological networks

Peri/Post Partum Cardiomyopathy (PPCM)

Abstract: Peri/Post partum cardiomyopathy (PPCM) is a rare and potentially fatal disease which presents itself with symptoms of heart failure primarily due to left ventricular systolic dysfunction in the last month of pregnancy and up to 5-6 months after delivery. The incidence of this disease is increasing and is a significant cause of maternal deaths in the United States with reported mortalities ranging from 18%-56%. Unfortunately, even after survival from PPCM, some women do not recover and require chronic therapy for heart failure and may ultimately undergo cardiac transplantation. There is no currently known etiology for PPCM, but a number of factors have been proposed for its development based on the results of clinical and experimental studies. These include: diabetes, apoptosis, myocarditis, multi-fetal pregnancy, advanced age, pre-eclampsia, inflammatory and auto-immune reactions, cardiotrophic viral infections, and hypertension. The purpose of this research is to determine potential mechanistic pathways for PPCM by critical analysis of anatomic, histologic, physiologic, immunologic and inflammatory cascade data derived from currently available experimental and clinical studies. From this analysis, I will purpose a theoretical mechanism(s) for an auto immune reaction that results in PPCM that can be evaluated by well designed studies with the ultimate goals of developing novel preventative measures and therapeutic approaches for this disease

A Synthesis Methodology for Application-Specific Logic-in-Memory Designs

ABSTRACT For deeply scaled digital integrated systems, the power required for transporting data between memory and logic can exceed the power needed for computation, thereby limiting the efficacy of synthesizing logic and compiling memory independently. Logic-in-Memory (LiM) architectures address this challenge by embedding logic within the memory block to perform basic operations on data locally for specific functions. While custom smart memories have been successfully constructed for various applications, a fully automated LiM synthesis flow enables architectural exploration that has heretofore not been possible. In this paper we present a tool and design methodology for LiM physical synthesis that performs co-design of algorithms and architectures to explore system level trade-offs. The resulting layouts and timing models can be incorporated within any physical synthesis tool. Silicon results shown in this paper demonstrate a 250x performance improvement and 310x energy savings for a data-intensive application example

A metastatic RCC case report undergoing multiple treatment options

9th International Eurasian Hematology Oncology Congress (EHOC) -- OCT 17-20, 2018 -- Istanbul, TURKEYWOS: 000447176600145

Phytochemical analysis of the essential oils of 10 endemic Cephalaria species from Turkey

WOS: 000318292300009PubMed ID: 22757667The volatile composition of 10 endemic Cephalaria (Dipsacaceae) species (Cephalaria gazipashensis, Cephalaria lycica, Cephalaria paphlagonica, Cephalaria elmaliensis, Cephalaria stellipilis, Cephalaria scoparia, Cephalaria isaurica, Cephalaria cilicica, Cephalaria elazigensis var. purpurea and Cephalaria davisiana) was investigated. The essential oil mixtures were obtained by steam distillation in a Clevenger-type apparatus. Twenty-eight components were identified by GC-FID and GC-MS techniques. While total volatile percentages ranged from 68.99% to 84.57%, the total essential oil yields ranged between 38.15% and 64.05%. Geraniol, -cedrene and p-cymene were determined as the main components. Geraniol was detected as a major component in C. cilicica (14.64%), and -cedrene was detected as a major component with 26.03% for C. lycica, 16.93% for C. scoparia, 13.01% for C. davisiana and 10.94% for C. paphlagonica. Cephalaria scoparia, C. davisiana and C. gazipashensis have considerable amount of p-cymene as 12.86%, 12.70% and 11.16%, respectively. This was the first essential oil report concerning the Cephalaria genus.TUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [107T028]; EBILTEMEge University [2008BIL003]; Research Grant Office of Ege UniversityEge University [2009FEN080]We are grateful to ARGE-FAR (Ege University) for running GC/GC-MS analysis, and TUBITAK (107T028), EBILTEM (2008BIL003) and Research Grant Office of Ege University (2009FEN080) for their financial support. We also thank to Assist. Prof. Dr H. Ertas for his valuable discussions

Accelerating Sparse Matrix-Matrix Multiplication with 3D-Stacked Logic-in-Memory Hardware

<p>This paper introduces a 3D-stacked logic-in-memory (LiM) system to accelerate the processing of sparse matrix data that is held in a 3D DRAM system. We build a customized content addressable memory (CAM) hardware structure to exploit the inherent sparse data patterns and model the LiM based hardware accelerator layers that are stacked in between DRAM dies for the efficient sparse matrix operations. Through silicon vias (TSVs) are used to provide the required high inter-layer bandwidth. Furthermore, we adapt the algorithm and data structure to fully leverage the underlying hardware capabilities, and develop the necessary design framework to facilitate the design space evaluation and LiM hardware synthesis. Our simulation demonstrates more than two orders of magnitude of performance and energy efficiency improvements compared with the traditional multithreaded software implementation on modern processors.</p