Feasibility study and porting of the damped least square algorithm on FPGA

Modern embedded computing platforms used within Cyber-Physical Systems (CPS) are nowadays leveraging more and more often on heterogeneous computing substrates, such as newest Field Programmable Gate Array (FPGA) devices. Compared to general purpose platforms, which have a fixed datapath, FPGAs provide designers the possibility of customizing part of the computing infrastructure, to better shape the execution on the application needs/features, and offer high efficiency in terms of timing and power performance, while naturally featuring parallelism. In the context of FPGA-based CPSs, this article has a two fold mission. On the one hand, it presents an analysis of the Damped Least Square (DLS) algorithm for a perspective hardware implementation. On the other hand, it describes the implementation of a robotic arm controller based on the DLS to numerically solve Inverse Kinematics problems over a heterogeneous FPGA. Assessments involve a Trossen Robotics WidowX robotic arm controlled by a Digilent ZedBoard provided with a Xilinx Zynq FPGA that computes the Inverse Kinematic

Reconfigurable Adaptive Multiple Transform Hardware Solutions for Versatile Video Coding

Computer aided design is nowadays a must to quickly provide optimized circuits, to cope with stringent time to market constraints, and to be able to guarantee colliding constrained requirements. Design automation is exploited, whenever possible, to speed up the design process and relieve the developers from error prone customization, optimization and tuning phases. In this work we study the possibility of adopting automated algorithms for the optimization of reconfigurable multiple constant multiplication circuits. In particular, an exploration of novel reconfigurable Adaptive Multiple Transform circuital solutions adoptable in video coding applications has been conducted. These solutions have also been compared with the unique similar work at the state of the art, revealing to be beneficial under certain constraints. Moreover, the proposed approach has been generalized with some guidelines helpful to designers facing similar problems

Quality enhancement of cryopreserved spermatozoa of sutchi catfish (Pangasianodon hypophthalmus) with honey addition

Sutchi Catfish is one of the important fish commodities in Indonesia. Unfortunately, its seasonal spawning pattern causes limited supply. Cryopreservation is a solution to solve limited supply since it can store the spermatozoa in low temperature so that physiological, biological and morphological functions still remain. Improving the quality of cryopreservation is important to increase the success of Sutchi Catfish aquaculture. Adding honey in cryopreservation process is expected to increase the quality of spermatozoa since it contains with sugars as a source of spermatozoa’s energy. This study tried to compare the effectivity of honey in cryopreservation process with no addition. The treatments used in this study were T1 (0% honey), T2 (0.2% of honey), T3 (0.4% of honey), T4 (0.6% of honey) and T5 (0.8% of honey). 30 days after stored, the spermatozoa were checked their motility, viability, abnormality, fertility and hatching rate. This study showed that honey addition could increase the motility significantly (P<0.01) to 23.14% better than control. The viability increased significantly (P<0.01) to 23.17% better than control. The abnormality test did not show significant difference between honey addition and control although the abnormality value in control was the highest (10.75%). The fertilization rate increased significantly (P<0.01) to 28.85% better than control. The hatching rate increased significantly (P<0.01) to 29.78% better than control. The success of all test indicated that the addition of honey in cryopreservation process of spermatozoa could be performed on Sutchi Catfish to increase its production even though the limited spawning pattern

Saliva, a bodily fluid with recognized and potential diagnostic applications

Human whole saliva is a bodily fluid that can be obtained easily by noninvasive techniques. Specimens can be collected by the patient also at home in order to monitor health status and variations of several analytes of clinical interest. The contributions to whole saliva include secretions from salivary glands and, among others, from the gingival crevicular fluid that derives from the epithelial mucosa. Therefore, saliva is currently a relevant diagnostic fluid for many substances, including steroids, nonpeptide hormones, therapeutic drugs, and drugs of abuse. This review at first briefly describes the different contributions to whole saliva. A section illustrates the procedures for the collection, handling, and storage of salivary specimens. Another section describes the present use of whole saliva for diagnostic purposes and its specific utilization for the diagnosis of several local and systemic diseases. The final sections illustrate the future opportunities offered by various not conventional techniques with a focus on the most recent –omic investigations. It describes the various issues that have to be taken into account to avoid false positives and negatives, such as the strength of the experimental plan, the adequacy of the number of samples under study, and the proper choice of controls

An integrated hardware/software design methodology for signal processing systems

This paper presents a new methodology for design and implementation of signal processing systems on system-on-chip (SoC) platforms. The methodology is centered on the use of lightweight application programming interfaces for applying principles of dataflow design at different layers of abstraction. The development processes integrated in our approach are software implementation, hardware implementation, hardware-software co-design, and optimized application mapping. The proposed methodology facilitates development and integration of signal processing hardware and software modules that involve heterogeneous programming languages and platforms. As a demonstration of the proposed design framework, we present a dataflow-based deep neural network (DNN) implementation for vehicle classification that is streamlined for real-time operation on embedded SoC devices. Using the proposed methodology, we apply and integrate a variety of dataflow graph optimizations that are important for efficient mapping of the DNN system into a resource constrained implementation that involves cooperating multicore CPUs and field-programmable gate array subsystems. Through experiments, we demonstrate the flexibility and effectiveness with which different design transformations can be applied and integrated across multiple scales of the targeted computing system

Immunoreactivity of thymosin beta 4 in human foetal and adult genitourinary tract

Thymosin beta 4 (Tβ4) is a member of the beta-thymosins family, a family of peptides playing essential roles in many cellular functions. Our recent studies suggested Tβ4 plays a key role in the development of human salivary glands and the gastrointestinal tract. The aim of this study was to analyse the presence of Tβ4 in the human adult and foetal genitourinary tract. Immunolocalization of Tβ4 was studied in autoptic samples of kidney, bladder, uterus, ovary, testicle and prostate obtained from four human foetuses and four adults. Presence of the peptide was observed in cells of different origin: in surface epithelium, in gland epithelial cells and in the interstitial cells. Tβ4 was mainly found in adult and foetal bladder in the transitional epithelial cells; in the adult endometrium, glands and stromal cells were immunoreactive for the peptide; Tβ4 was mainly localized in the glands of foetal prostate while, in the adults a weak Tβ4 reactivity was restricted to the stroma. In adult and foetal kidney, Tβ4 reactivity was restricted to ducts and tubules with completely spared glomeruli; a weak positivity was observed in adult and foetal oocytes; immunoreactivity was mainly localized in the interstitial cells of foetal and adult testis. In this study, we confirm that Tβ4 could play a relevant role during human development, even in the genitourinary tract, and reveal that immunoreactivity for this peptide may change during postnatal and adult life

Expression pattern of thymosin beta 4 in the adult human liver

Thymosin beta-4 (Tβ4) is a member of beta-thymosins, a family of small peptides involved in polymerization of G-actin, and in many critical biological processes including apoptosis, cell migration, angiogenesis, and fibrosis. Previous studies in the newborn liver did not reveal any significant reactivity for Tβ4 during the intrauterine life. The aim of the present study was to investigate by immunohistochemistry Tβ4 expression in the adult normal liver. Thirty-five human liver samples, including 11 needle liver biopsies and 24 liver specimens obtained at autopsy, in which no pathological change was detected at the histological examination, were immunostained utilizing an anti-Tβ4 commercial antibody. Tβ4 was detected in the hepatocytes of all adult normal livers examined. A zonation of Tβ4 expression was evident in the vast majority of cases. Immunostaining was preferentially detected in zone 3, while a minor degree of reactivity was detected in periportal hepatocytes (zone 1). At higher power, Tβ4-reactive granules appeared mainly localized at the biliary pole of hepatocytes. In cases with a strong immunostaining, even perinuclear areas and the sinusoidal pole of hepatocytes appeared interested by immunoreactivity for Tβ4. The current work first evidences a strong diffuse expression of Tβ4 in the adult human liver, and adds hepatocytes to the list of human cells able to synthesize large amounts of Tβ4 in adulthood. Moreover, Tβ4 should be added to the liver proteins characterized by a zonate expression pattern, in a descending gradient from the terminal vein to the periportal areas of the liver acinus. Identifying the intimate role played by this peptide intracellularly and extracellularly, in physiology and in different liver diseases, is a major challenge for future research focusing on Tβ4

Transcriptional silencing of long noncoding RNA GNG12-AS1 uncouples its transcriptional and product-related functions.

Long noncoding RNAs (lncRNAs) regulate gene expression via their RNA product or through transcriptional interference, yet a strategy to differentiate these two processes is lacking. To address this, we used multiple small interfering RNAs (siRNAs) to silence GNG12-AS1, a nuclear lncRNA transcribed in an antisense orientation to the tumour-suppressor DIRAS3. Here we show that while most siRNAs silence GNG12-AS1 post-transcriptionally, siRNA complementary to exon 1 of GNG12-AS1 suppresses its transcription by recruiting Argonaute 2 and inhibiting RNA polymerase II binding. Transcriptional, but not post-transcriptional, silencing of GNG12-AS1 causes concomitant upregulation of DIRAS3, indicating a function in transcriptional interference. This change in DIRAS3 expression is sufficient to impair cell cycle progression. In addition, the reduction in GNG12-AS1 transcripts alters MET signalling and cell migration, but these are independent of DIRAS3. Thus, differential siRNA targeting of a lncRNA allows dissection of the functions related to the process and products of its transcription.The authors acknowledge all the members of Murrell, Rinn, Odom and Gergely laboratory as well as Massimiliano di Pietro, Klaas Mulder, Anna Git, Jason Carroll in Cambridge and Laurence Hurst (University of Bath) for reading and providing helpful comments on the manuscript. We also thank the Genomics, Microscopy and Bioinformatics core facilities at the Cambridge Institute for support, Christina Ernst for thumbnail image design, Ezgi Hacisuleyman for the design of the negative control vector, Cole Trapnell and David Hendrickson for providing us with lincExpress vector, Arjun Raj with the RNA FISH and Alaisdair Russell with the lentiviral work. This research was supported by The University of Cambridge, Cancer Research UK and Hutchison Whampoa Limited. The authors have no conflicting financial interests.This is the final version of the article. It first appeared from Nature Publishing Group via http://dx.doi.org/10.1038/ncomms1040