3,414 research outputs found
Tension‐Induced Cavitation in Li‐Metal Stripping
No full textDesigning stable Li metal and supporting solid structures (SSS) is of fundamental importance in rechargeable Li-metal batteries. Yet, the stripping kinetics of Li metal and its mechanical effect on the supporting solids (including solid electrolyte interface) remain mysterious to date. Here, through nanoscale in situ observations of a solid-state Li-metal battery in an electron microscope, two distinct cavitation-mediated Li stripping modes controlled by the ratio of the SSS thickness (t) to the Li deposit's radius (r) are discovered. A quantitative criterion is established to understand the damage tolerance of SSS on the Li-metal stripping pathways. For mechanically unstable SSS (t/r 0.21), the Li metal undergoes nearly planar stripping from the root via single cavitation, showing negligible buckling. This work proves the existence of an electronically conductive precursor film coated on the interior of solid electrolytes that however can be mechanically damaged, and it is of potential importance to the design of delicate Li-metal supporting structures to high-performance solid-state Li-metal batteries
SSS
No full textNetwork on chip has become the de facto communication standard for multi-core or many-core system on chip, due to its scalability and flexibility. However, temperature is an important factor in NoC design, which affects the overall performance of SoC-decreasing circuit frequency, increasing energy consumption, and even shortening chip lifetime. In this paper, we propose SSS, a self-aware SoC using a static-dynamic hybrid method, which combines dynamic mapping and static mapping to reduce the hot-spots temperature for NoC based SoCs. First, we propose monitoring the thermal distribution for self-state sensoring. Then, in static mapping stage, we calculate the optimal mapping solutions under different temperature modes using discrete firefly algorithm to help self-decision making. Finally, in dynamic mapping stage, we achieve dynamic mapping through configuring NoC and SoC sentient unit for selfoptimizing. Experimental results show SSS can reduce the peak temperature by up to 30.64%. FPGA prototype shows the effectiveness and smartness of SSS in reducing hot-spots temperature. Self-awareness, SoC architecture, NoC.</p
Addressing Technology Uncertainties in Power Plants with Post-Combustion Capture
No full textRisks associated with technology, market and regulatory uncertainties for First-Of-A-Kind fossil power generation with CCS can be mitigated through innovative engineering approaches that will allow solvent developments occurring during the early stage of the deployment of post-combustion CO2 capture to be subsequently incorporated into the next generation of CCS plants. Power plants capable of improving their economic performance will benefit financially from being able to upgrade their solvent technology. One of the most important requirements for upgradeability is for the base power plant to be able to operate with any level of steam extraction and also with any level of electricity output up to the maximum rating without capture. This requirement will also confer operational flexibility and so is likely to be implemented in practice on new plants or on any integrated CCS retrofit project
Synthesis and Properties of AM-AA-SSS-DMCAAC16 Hydrophobic Associating Polymer
No full textA hydrophobic associative polymer (AM-AA-SSS-DMCAAC16) was synthesized using the aqueous polymerization method with acrylic acid (AA), acrylamide (AM), sodium styrene sulfonate (SSS), and hexadecyl dimethylallyl ammonium chloride (DMCAAC16) as the main raw materials and ammonium persulfate sodium bisulfite as the initiator. The synthesis conditions for AM-AA-SSS-DMCAAC16 are as follows: a total monomer mass concentration of 25%, an initiator dosage of 0.2% of the total monomer mass, a reaction temperature of 40°C, and a reaction time of 4 h. The structure of AM-AA-SSS-DMCAAC16 was characterized by infrared spectroscopy, nuclear magnetic resonance hydrogen spectroscopy, and scanning electron microscopy. The viscosity enhancement, shear resistance, temperature resistance, salt resistance, and oil displacement performance of AM-AA-SSS-DMCAAC16 were studied. The experimental results showed that the apparent viscosity of the 2000 mg/L AM-AA-SSS-DMCAAC16 solution prepared with injected water at 25°C was significantly higher than that of the same concentration of acrylamide and acrylic acid binary copolymer (AM-AA) solution. The viscosity of a 2000 mg/L AM-AA-SSS-DMCAAC16 solution prepared with a 5000 mg/L sodium ion solution is 247.27 mPa s, which is 137.34 mPa s higher than the same concentration of AM-AA solution. After mechanical shearing at 28,000 r/min for 30 s, the viscosity retention rate of the 2000 mg/L AM-AA-SSS-DMCAAC16 solution was 11.99% higher than that of the same concentration AM-AA solution. Under the same experimental conditions, the enhanced oil recovery rates of AM-AA and AM-AA-SSS-DMCAAC16 were 11.28% and 17.49%, respectively, and AM-AA-SSS-DMCAAC16 showed good oil displacement ability
The frequency distribution of TPS and SSS score.
No full text<p>TPS and SSS score were left skewness distribution. SSS = segment-stenosis score. TPS = total plaque score.</p
Author, landscape and communication in Estonian haiku
No full textPresent article tries to give insight into the ways in which Estonian haiku models its author and communicates with the reader. The author thinks that while Japanese haiku is a predominantly autocommunicative piece of literature, where even a fixed point of view is not recommended, Estonian literary conventions are oriented towards openly communicational texts, which convey a fixed axiology and rely on abundant use of pronouns and rhetorical questions, addresses and apostrophes. While there is a considerable amount of Estonian haiku that depend on Estonian literary conventions, most of the Estonian haiku texts, however, are oriented to the Japanese model. These texts have been labelled “the catalogues of landscape”, as they are constituted by naming different landscape objects without developing a line of narration. Thereby every landscape element in poetry is granted its own voice, and through this multitude of voices inside the text, the reader is forced to enter an autocommunicative process of remodelling him/herself
Barthes’s positive theory of the author
No full textWhile it is well known that Roland Barthes consecrated his last lecture series at the Collège de France to the theme of the preparation of a novel, it is less known that his first writings on literature focused on the same question, but from a less individual point of view. The interrogation that motivates Le Degré zéro de l’écriture (1953) and many of the essays in Essais critiques (1964) is the question of how to write, of what procedures one can follow in preparing a literary work of art. At the two ends of Barthes’s career one finds the same themes of writing as action and of the writer’s possibilities and motivations in writing. The article explores the hypothesis that there is ground for a positive theory of the author in Barthes’s work. It seeks to discover similarities between writings from the early and the late period that concern three themes: (1) writing as action, (2) the deferral of its achievement, and (3) writing as representation. The article ends with a discussion on the relationships between Barthes’s positive theory of the author and related important issues that have been discussed recently in literary criticism
The comparison in stability of MCMC and SSS.
No full textThe comparison in stability of MCMC and SSS.</p
Pearson’s correlation coefficients of the four syndrome groups between the SID-SSS and the ED-SSS in Taipei City, 1 January, 2010 to 31 August, 2011.
No full text<p><b>SID-SSS</b>: School-based Infectious Disease Syndromic Surveillance System</p><p><b>ED-SSS</b>: Emergency Department-based Syndromic Surveillance System</p><p><b>Correlation</b>: Pearson’s correlation coefficient</p><p><b>EVI:</b> enterovirus-like illness; <b>ILI</b>: influenza-like illness</p><p>Semester 1 (Week 8–26, 2010) Semester 2 (Week 35, 2010-Week 3, 2011) Semester 3 (Week 7–26, 2011)</p><p><b>LNY</b>: Lunar New Year, <b>SMV</b>: Summer Vacation</p><p><b>**.</b> Correlation was significant at the 0.01 level (2-tailed).</p><p><b>*.</b> Correlation was significant at the 0.05 level (2-tailed).</p><p><b>N.A.:</b> Cannot be computed since none of the variables is constant in the SID-SSS.</p><p>Pearson’s correlation coefficients of the four syndrome groups between the SID-SSS and the ED-SSS in Taipei City, 1 January, 2010 to 31 August, 2011.</p
SSS Underwater Target Image Samples Augmentation Based on the Cross-Domain Mapping Relationship of Images of the Same Physical Object
No full textSide-scan sonar (SSS) image sample augmentation plays an important role in improving the effect of deep-learning-based underwater target detection. However, the existing sample augmentation methods for cross-domain conversion always result in weak representativeness of the augmented samples since the targets in the nondomain images are similar but not exactly the same as the actual underwater target to be detected. In this article, an augmentation method for SSS image samples of underwater targets based on the cross-domain mapping relationship of images of the same object is proposed. A physical model of the actual underwater target was first constructed using three-dimensional printing. A series of optical images and SSS images of underwater targets can be obtained by using the actual measurement of underwater targets under different conditions. To achieve the augmentation of SSS target samples, a single-cycle-consistency network structure with a channel and spatial attention and generative adversarial networks with least squares loss was designed for efficient and robust conversion of information between optical and SSS acoustic samples. To verify the effectiveness of the proposed method in generating high-quality samples, underwater targets were detected using the detection model trained by the generated samples. The experimental results revealed that the proposed method achieved impressive performance with a more than 5.8% improvement in average precision value for zero-sample underwater mine target detection and 4.3% for few-sample shipwreck target detection, compared with using only real SSS data
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