scholarly journals An Ultra-Stretchable Sensitive Hydrogel Sensor for Human Motion and Pulse Monitoring

Micromachines ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 789
Author(s):  
Bin Shen ◽  
Jiang Li ◽  
Yongtao Tang ◽  
Huihua Xu ◽  
Fengyu Li
Keyword(s):  
Flexible Electronics ◽  
High Performance ◽  
Large Scale ◽  
Human Motion ◽  
Composite Hydrogel ◽  
Poly Vinyl Alcohol ◽  
Small Scale ◽  
Self Healing ◽  
Joint Movement ◽  
Human Movements

Ionic hydrogels with intrinsic conductivity and stretchability show great potential in flexible electronics. However, it remains a great challenge to achieve hydrogels with mechanical stretchability, ionic conductivity, optical transparency, and a self-healing ability at the same time. In this paper, we developed a hydroxyethylidene diphosphonic acid (HEDP) assisted poly(vinyl alcohol) (PVA) composite hydrogel to achieve high-performance stretch-sensitive sensor. Through a facile freeze–thaw strategy, the hydrogel could achieve large stretchability (up to 950% strain), good conductivity (10.88 S/m), excellent linear sensitivity (GF = 2.72, within 100% strain), high transparency, and significant self-healing ability. The PVA-HEDP hydrogel-based strain sensor is capable of monitoring various human movements from small scale (e.g., laryngeal vibration while speaking) to large scale (e.g., knee joint movement). Moreover, the multisite sensor array is capable of detecting the subtle differences between the pulse wave features from Cun, Guan and Chi positions, mimicking the three-finger palpation in Traditional Chinese Medicine. This work demonstrates that the composite hydrogel-based flexible sensor provides a promising solution for multifunctional human activities and health monitoring.

scholarly journals Beyond HEP: Photon and accelerator science computing infrastructure at DESY

2020 ◽  
Vol 245 ◽  
pp. 07036
Author(s):  
Christoph Beyer ◽  
Stefan Bujack ◽  
Stefan Dietrich ◽  
Thomas Finnern ◽  
Martin Flemming ◽  
...  
Keyword(s):  
High Performance ◽  
Large Scale ◽  
High Energy Physics ◽  
High Energy ◽  
Resource Provisioning ◽  
Small Scale ◽  
Online Processing ◽  
Offline Processing ◽  
National Analysis ◽  
Energy Physics

DESY is one of the largest accelerator laboratories in Europe. It develops and operates state of the art accelerators for fundamental science in the areas of high energy physics, photon science and accelerator development. While for decades high energy physics (HEP) has been the most prominent user of the DESY compute, storage and network infrastructure, various scientific areas as science with photons and accelerator development have caught up and are now dominating the demands on the DESY infrastructure resources, with significant consequences for the IT resource provisioning. In this contribution, we will present an overview of the computational, storage and network resources covering the various physics communities on site. Ranging from high-throughput computing (HTC) batch-like offline processing in the Grid and the interactive user analyses resources in the National Analysis Factory (NAF) for the HEP community, to the computing needs of accelerator development or of photon sciences such as PETRA III or the European XFEL. Since DESY is involved in these experiments and their data taking, their requirements include fast low-latency online processing for data taking and calibration as well as offline processing, thus high-performance computing (HPC) workloads, that are run on the dedicated Maxwell HPC cluster. As all communities face significant challenges due to changing environments and increasing data rates in the following years, we will discuss how this will reflect in necessary changes to the computing and storage infrastructures. We will present DESY compute cloud and container orchestration plans as a basis for infrastructure and platform services. We will show examples of Jupyter notebooks for small scale interactive analysis, as well as its integration into large scale resources such as batch systems or Spark clusters. To overcome the fragmentation of the various resources for all scientific communities at DESY, we explore how to integrate them into a seamless user experience in an Interdisciplinary Data Analysis Facility.

Cloud Computing for Scientific Simulation and High Performance Computing

2013 ◽  
pp. 51-70
Author(s):  
Adrian Jackson ◽  
Michèle Weiland
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
High Performance ◽  
Large Scale ◽  
Parallel Programs ◽  
Small Scale ◽  
Cloud Infrastructure ◽  
Scientific Simulations ◽  
Cloud Infrastructures ◽  
Performance Computing

This chapter describes experiences using Cloud infrastructures for scientific computing, both for serial and parallel computing. Amazon’s High Performance Computing (HPC) Cloud computing resources were compared to traditional HPC resources to quantify performance as well as assessing the complexity and cost of using the Cloud. Furthermore, a shared Cloud infrastructure is compared to standard desktop resources for scientific simulations. Whilst this is only a small scale evaluation these Cloud offerings, it does allow some conclusions to be drawn, particularly that the Cloud can currently not match the parallel performance of dedicated HPC machines for large scale parallel programs but can match the serial performance of standard computing resources for serial and small scale parallel programs. Also, the shared Cloud infrastructure cannot match dedicated computing resources for low level benchmarks, although for an actual scientific code, performance is comparable.

scholarly journals Facile fabrication of a magnetic self-healing poly(vinyl alcohol) composite hydrogel

RSC Advances ◽  
2017 ◽  
Vol 7 (35) ◽  
pp. 21476-21483 ◽  
Author(s):  
Mingsen Chen ◽  
Guisheng Gong ◽  
Li Zhou ◽  
Faai Zhang
Keyword(s):  
Vinyl Alcohol ◽  
Composite Hydrogel ◽  
Poly Vinyl Alcohol ◽  
Self Healing ◽  
Simple Method ◽  
Facile Fabrication

This study proposes a simple method to fabricate a magnetic self-healing poly(vinyl alcohol) (ms-PVA) composite hydrogel.

Computing within limits and ICTD

First Monday ◽  
2015 ◽  
Author(s):  
Jay Chen
Keyword(s):  
Low Power ◽  
Communication Technology ◽  
High Performance ◽  
Large Scale ◽  
Information Communication Technology ◽  
Small Scale ◽  
Information Communication ◽  
Research Areas

Computing research today is fixated on high performance and large scale, but computing can be tremendously powerful even at low power and small scale. In this article we present a perspective on promising directions for research on computing within limits, where concerns about limits overshadow performance and scale. Despite coming from different motivations, computing within limits has very similar considerations as Information Communication Technology for Development (ICTD). We discuss where the two research areas intersect and where they may diverge. We draw parallels between computing within limits and ICTD in terms of technical constraints, designing for context, and goals. We hope to help stimulate computing within limits with ideas from ICTD and highlight research synergies.

scholarly journals Biohybrid Actuators for Soft Robotics: Challenges in Scaling Up

Actuators ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 96
Author(s):  
Phillip Won ◽  
Seung Hwan Ko ◽  
Carmel Majidi ◽  
Adam W. Feinberg ◽  
Victoria A. Webster-Wood
Keyword(s):  
Large Scale ◽  
Scaling Up ◽  
Living Cells ◽  
Living Systems ◽  
Soft Robotics ◽  
Small Scale ◽  
Self Healing ◽  
Artificial Structures ◽  
Wide Range ◽  
Macro Scale

Living systems have evolved to survive in a wide range of environments and safely interact with other objects and organisms. Thus, living systems have been the source of inspiration for many researchers looking to apply their mechanics and unique characteristics in engineering robotics. Moving beyond bioinspiration, biohybrid actuators, with compliance and self-healing capabilities enabled by living cells or tissue interfaced with artificial structures, have drawn great interest as ways to address challenges in soft robotics, and in particular have seen success in small-scale robotic actuation. However, macro-scale biohybrid actuators beyond the centimeter scale currently face many practical obstacles. In this perspective, we discuss the challenges in scaling up biohybrid actuators and the path to realize large-scale biohybrid soft robotics.

scholarly journals Synthesis of medronic acid monoesters and their purification by high-performance countercurrent chromatography or by hydroxyapatite

2016 ◽  
Vol 12 ◽  
pp. 2145-2149 ◽  
Author(s):  
Elina Puljula ◽  
Jouko Vepsäläinen ◽  
Petri A Turhanen
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Small Scale ◽  
Countercurrent Chromatography ◽  
Monoalkyl Esters

We achieved the synthesis of important medronic acid monoalkyl esters via the dealkylation of mixed trimethyl monoalkyl esters of medronic acid. Two methods were developed for the purification of medronic acid monoesters: 1) small scale (10–20 mg) purification by using hydroxyapatite and 2) large scale (tested up to 140 mg) purification by high-performance countercurrent chromatography (HPCCC).

scholarly journals Electrospinning of Flexible Poly(vinyl alcohol)/MXene Nanofiber-Based Humidity Sensor Self-Powered by Monolayer Molybdenum Diselenide Piezoelectric Nanogenerator

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Dongyue Wang ◽  
Dongzhi Zhang ◽  
Peng Li ◽  
Zhimin Yang ◽  
Qian Mi ◽  
...  
Keyword(s):  
Flexible Electronics ◽  
Vinyl Alcohol ◽  
High Performance ◽  
Humidity Sensor ◽  
Chemical Vapor ◽  
The Self ◽  
Poly Vinyl Alcohol ◽  
Molybdenum Diselenide ◽  
Self Powered ◽  
Pet Substrate

Abstract Two-dimensional material has been widely investigated for potential applications in sensor and flexible electronics. In this work, a self-powered flexible humidity sensing device based on poly(vinyl alcohol)/Ti3C2Tx (PVA/MXene) nanofibers film and monolayer molybdenum diselenide (MoSe2) piezoelectric nanogenerator (PENG) was reported for the first time. The monolayer MoSe2-based PENG was fabricated by atmospheric pressure chemical vapor deposition techniques, which can generate a peak output of 35 mV and a power density of 42 mW m−2. The flexible PENG integrated on polyethylene terephthalate (PET) substrate can harvest energy generated by different parts of human body and exhibit great application prospects in wearable devices. The electrospinned PVA/MXene nanofiber-based humidity sensor with flexible PET substrate under the driven of monolayer MoSe2 PENG, shows high response of ∼40, fast response/recovery time of 0.9/6.3 s, low hysteresis of 1.8% and excellent repeatability. The self-powered flexible humidity sensor yields the capability of detecting human skin moisture and ambient humidity. This work provides a pathway to explore the high-performance humidity sensor integrated with PENG for the self-powered flexible electronic devices.

scholarly journals Dielectric Elastomer Generator for Electromechanical Energy Conversion: A Mini Review

2021 ◽  
Vol 13 (17) ◽  
pp. 9881
Author(s):  
Kui Di ◽  
Kunwei Bao ◽  
Haojie Chen ◽  
Xinjun Xie ◽  
Jianbo Tan ◽  
...  
Keyword(s):  
Large Scale ◽  
Mechanical Energy ◽  
Electrical Energy ◽  
Fast Response ◽  
High Energy ◽  
Dielectric Elastomer ◽  
Human Motion ◽  
High Energy Density ◽  
Small Scale ◽  
Electromechanical Energy Conversion

The dielectric elastomer generator (DEG) has attracted attention in converting mechanical energy into electrical energy, due to its high energy density, fast response, and light weight, which together make DEG a promising technology for electromechanical conversion. In this article, recent research papers on DEG are reviewed. First, we present the working principles, parameters, materials, and deformation modes of DEG. Then, we introduce DEG prototypes in the field of collecting mechanical energy, including small-scale applications for wind energy and human motion energy, and large-scale applications for wave energy. At the end of the review, we discuss the challenges and perspectives of DEG. We believe that DEG will play an important role in mechanical energy harvesting in the future.

AN AGENT-BASED MODEL OF HUMAN DISPERSALS AT A GLOBAL SCALE

2013 ◽  
Vol 16 (04n05) ◽  
pp. 1350023 ◽  
Author(s):  
SIMONE CALLEGARI ◽  
JOHN DAVID WEISSMANN ◽  
NATALIE TKACHENKO ◽  
WESLEY P. PETERSEN ◽  
GEORGE LAKE ◽  
...  
Keyword(s):  
Population Dynamics ◽  
High Performance ◽  
Large Scale ◽  
Global Scale ◽  
Small Scale ◽  
Emergent Properties ◽  
Agent Based ◽  
Human Dispersal ◽  
Model Hierarchy ◽  
Empirical Context

In this paper, we report on the theoretical foundations, empirical context and technical implementation of an agent-based modeling (ABM) framework, that uses a high-performance computing (HPC) approach to investigate human population dynamics on a global scale, and on evolutionary time scales. The ABM-HPC framework provides an in silico testbed to explore how short-term/small-scale patterns of individual human behavior and long-term/large-scale patterns of environmental change act together to influence human dispersal, survival and extinction scenarios. These topics are currently at the center of the Neanderthal debate, i.e., the question why Neanderthals died out during the Late Pleistocene, while modern humans dispersed over the entire globe. To tackle this and similar questions, simulations typically adopt one of two opposing approaches, top-down (equation-based) and bottom-up (agent-based) models of population dynamics. We propose HPC technology as an essential computational tool to bridge the gap between these approaches. Using the numerical simulation of worldwide human dispersals as an example, we show that integrating different levels of model hierarchy into an ABM-HPC simulation framework provides new insights into emergent properties of the model, and into the potential and limitations of agent-based versus continuum models.

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