Platform designer: An approach for modeling multiprocessor platforms based on SystemC

This paper[3.5pc] presents the Platform Designer (PD) framework, a set of SystemC based tools that provide support for modeling, simulation and analysis of multiprocessor SoC platforms (MPSoC), at different abstraction levels. PD provides mechanisms for interconnection specification, process synchronization and communication, thus allowing the modeling of a complete platform, in a unified environment. To do that it uses an extension of the ArchC ADL and acsys, a tool that enables the automatic generation of a SystemC simulator of the platform. The main advantages of this approach are twofold. First, designers have more flexibility since they can integrate and configure different processors to the platform, using a single environment. Second, it enables a faster design space exploration, given that it automatically generates SystemC simulators of whole platforms at distinct abstraction levels. A number of platform variations can be tried out with minor design changes, thus reducing design time. Experimental results show the suitability of the platform simulator for design space exploration. Real applications (with medium complexity) run in the platform in few minutes. Combined with the facility to generate platforms with minor changes, this feature allows an improvement of the design space exploration.     

Computational reflection and its application to platform verification

The complexity of modern hardware design has created the need for higher levels of abstraction, where system modeling is used to integrate modules into complex System-on-Chip (SoCs) platforms. SystemC, and its TLM (Transaction Level Modeling) extensions, have been used for this purpose mainly because of their fast prototyping and simulation features, which allow for early design space exploration. This paper proposes an approach to explore and interact with SystemC models by means of an introspection technique known as Computational Reflection. We use reflection to implement a white-box introspection mechanism called ReflexBox. We show that ReflexBox is a fast, non-intrusive technique that can be used to dynamically gather and inject stimuli into any SystemC module, without the need to use a proprietary SystemC implementation, change the SystemC library, instrument or even inspect the module source code. Our approach can be used to support many different verification tasks like platform debugging, performance evaluation and communication analysis. To show ReflexBox effectiveness we used it in three platforms case studies to address tasks like register inspection, performance analysis and signal replaying for testbench reuse. In all cases we assumed no source code availability and measured the impact on the overall platform performance.     

Structural Determinants of the Sign of the Pyroelectric Effect in Quasi‐Amorphous SrTiO3 Films

The magnitude and direction of the permanent electric polarization in the non‐crystalline, polar phase (termed quasi‐amorphous) of SrTiO₃ in SiSiO₂MeSrTiO₃Me, (Me = Cr or W), SiSrRuO₃SrTiO₃, and SiSrTiO₃ layered structures were investigated. Three potential sources of the polarization which appears after the material is pulled through a temperature gradient were considered: a) contact potential difference; b) a flexoelectric effect due to a strain gradient caused by substrate curvature; and c) a flexoelectric effect due to the thermally induced strain gradient that develops while pulling through the steep temperature gradient. Measurements show that options a) and b) can be eliminated from consideration. In most cases studied in this (SiSrTiO₃, SiSiO₂MeSrTiO₃Me, M = Cr or W) and previous works (SiBaTiO₃, SiBaZrO₃), the top surface of the quasi‐amorphous phase acquires a negative charge upon heating. However, in SiSrRuO₃SrTiO₃ structures the top surface acquires a positive charge upon heating. On the basis of the difference in the measured expansion of the upper and lower surfaces of the SrTiO₃ layer in the presence and absence of SrRuO₃, we contend that the magnitude and direction of the pyroelectric effect are determined by the out‐of‐plane gradient of the in‐plane strain in the SrTiO₃ layer while pulling through the temperature gradient.     

Jamming Skins that Control System Rigidity from the Surface

Numerous animals adapt their stiffness during natural motions to increase efficiency or environmental adaptability. For example, octopuses stiffen their tentacles to increase efficiency during reaching, and several species adjust their leg stiffness to maintain stability when running across varied terrain. Inspired by nature, variable-stiffness machines can switch between rigid and soft states. However, existing variable-stiffness systems are usually purpose-built for a particular application and lack universal adaptability. Here, reconfigurable stiffness-changing skins that can stretch and fold to create 3D structures or attach to the surface of objects to influence their rigidity are presented. These “jamming skins” employ vacuum-powered jamming of interleaved, discrete planar elements, enabling 2D stretchability of the skin in its soft state. Stretching allows jamming skins to be reversibly shaped into load-bearing, functional tools on-demand. Additionally, they can be attached to host structures with complex curvatures, such as robot arms and portions of the human body, to provide support or create a mold. We also show how multiple skins can work together to modify the workspace of a continuum robot by creating instantaneous joints. Jamming skins thus serve as a reconfigurable approach to creating tools and adapting structural rigidity on-demand.     

Calcite Prisms from Mollusk Shells (Atrina Rigida): Swiss‐cheese‐like Organic–Inorganic Single‐crystal Composites

Biogenic single‐crystal composites, such as sea urchin spines and calcitic prisms from mollusk shells, contain organic macromolecules inside of inorganic single‐crystal matrices. The nanoscale internal structure of these materials, however, is poorly understood, especially how the biomacromolecules are distributed within the crystals without significantly disrupting the crystalline lattice. Here, annular dark‐field scanning transmission electron microscopy and electron tomography reveal, in three dimensions, how biomacromolecules are distributed within the calcitic prisms from Atrina rigida shells. Disk‐like nanopatches, whose scattering intensity is consistent with organic inclusions, are observed to be anisotropically arranged within a continuous, single‐crystalline calcite matrix. These nanopatches are preferentially aligned with the (000l) planes of calcite. Along the crystallographic c‐axis, there are alternating organic‐rich and ‐poor regions on a length scale of tens of nanometers, while, in the ab plane, the distribution of nanopatches is more random and uniform. The structural features elucidated in this work have relevance to understanding the structure–property relationships and formation mechanisms of biominerals, as well as to the development of bio‐inspired strategies to extrinsically tune the properties of single‐crystals.     

Diagnosis of learner dropout based on learning styles for online distance learning

The amount of data generated by computer systems in Online Distance Learning (ODL) contains rich information. One example of this information we define as the Learner Learning Trail (LLT), which is the sequence of interactions between the students and the virtual environment. Another example is the Learner Learning Style (LLS), which is associated with the student behavior and choices during the learning process. This information can be used to identify learner behavior and learning style. We perceived, after the study of related literature, that the research field of learner diagnosis for ODL does not apply the conjoint use of LLT and LLS. In this article, we propose a model capable of integrating data generated from the behavior of students in ODL with cognitive aspects of them, such as their Learning Styles, by crossing LLT with LLS. We also propose the CPAD method (Collect, Preprocessing, Analysis, Diagnosis), which is implemented by collecting the raw data regarding learning activities, preprocessing the data into structured time sequences, analyzing the sequences regarding the learning styles and using this analysis to diagnose the learner behavior. We selected the dropout to investigate, once the dropout rate in ODL is a real problem in universities around the world. In addition, the dropout is a student decision which can be associated with previous students behaviors. We performed a study with 202 learners to evaluate if learning styles are capable of explaining aspects of the student behavior. The results suggest that Sequential/Global learning style dimension is more capable of explaining the dropout than the other dimensions. Also, we performed four classification experiments to verify how the dimensions of Felder-Silverman Learning Style Model influence the learner diagnosis. We perceived that the Sequential/Global dimension could provide a higher accuracy average with lower variation independently of the diagnosis technique.     

A review of current challenges and legal advances in the global management of plastic waste

Clean Technologies and Environmental Policy - Plastic waste is an ever-growing global challenge, perhaps second only to climate change in its scope and impact. Unmanaged plastic waste can be found...     

Smoking cessation may not improve quality of life in atherosclerotic patients.

The benefits of smoking cessation on patients' medical conditions are well documented. Cardiovascular patients who quit smoking significantly reduce their risk of a new event compared with those who continue smoking. Several studies have found that smoking is related to poor quality of life (QoL). In cardiovascular patients, however, less attention has been given to the effect of smoking cessation on patients' QoL. The present study examined the extent to which smoking cessation leads to changes in QoL in these patients within the first year of follow-up. Data were collected in the context of a randomized clinical trial. Smoking outpatients (N = 346) with atherosclerotic disease were included and received medical treatment. They were randomized to receive either nicotine replacement therapy (NRT) or NRT plus a behavioral intervention meant to promote smoking cessation. At baseline, sociodemographic and clinical characteristics were established. Generic and disease-specific QoL as well as smoking status were assessed at baseline and with three follow-up measurements. Multilevel modeling showed that generic and disease-specific QoL in atherosclerotic patients improved significantly within the first year of follow-up. No main differences were found between quitters and smokers in terms of improvement in QoL. In fact, some subgroups reported a poorer QoL after smoking cessation: More highly educated patients reported lower general QoL (p < .05), and patients suffering from coronary artery disease who had a low level of education (p < .01) and patients suffering from peripheral arterial disease who had low nicotine dependency (p < .01) reported lower disease-specific QoL. Atherosclerotic patients' QoL improved significantly but was not enhanced by smoking cessation activities.