A facile approach to fabricate highly sensitive, flexible strain sensor based on elastomeric/graphene platelet composite film

This work developed a facile approach to fabricate highly sensitive and flexible polyurethane/graphene platelets composite film for wearable strain sensor. The composite film was fabricated via layer-by-layer laminating method which is simple and cost-effective; it exhibited outstanding electrical conductivity of 1430 ± 50 S/cm and high sensitivity to strain (the gauge factor is up to 150). In the sensor application test, the flexible strain sensor achieves real-time monitoring accurately for five bio-signals such as pulse movement, finger movement, and cheek movement giving a great potential as wearable-sensing device. In addition, the developed strain sensor shows response to pressure and temperature in a certain region. A multifaceted comparison between reported flexible strain sensors and our strain sensor was made highlighting the advantages of the current work in terms of (1) high sensitivity (gauge factor) and flexibility, (2) facile approach of fabrication, and (3) accurate monitoring for body motions

Improving Two-Mode Algorithm via Probabilistic Selection for Solving Satisfiability Problem

The satisfiability problem (SAT) is a critically important issue in multiple branches of computer science and artificial intelligence, with its relevance in industrial applications being of particular Significance CCAnr is the current leading stochastic local search (SLS) solver for tackling crafted satisfiable instances. It uses a two-mode strategy, greedy mode and diversification mode. In the present work, we employ a probabilistic selection approach to enhance CCAnr, leading to a new algorithm called ProbCCAnr. Experiments are carried out using the random SAT benchmarks and structured SAT benchmarks including instances encoded from mathematical problems and application problems. The experiments demonstrate that ProbCCAnr significantly improves the performance of state-of-the-art SLS algorithms including CCAnr and ProbSAT, among others. Moreover, ProbCCAnr shows better performance than state of the art complete solvers

Effects of finite coverage on global polarization observables in heavy ion collisions

In non-central relativistic heavy ion collisions, the created matter possesses a large initial orbital angular momentum. Particles produced in the collisions could be polarized globally in the direction of the orbital angular momentum due to spin–orbit coupling. Recently, the STAR experiment has presented polarization signals for hyperons and possible spin alignment signals for φmesons. Here we discuss the effects of finite coverage on these observables. The results from a multi-phase transport and a toy model both indicate that a pseudorapidity coverage narrower than |η| <∼1will generate a larger value for the extracted φ-meson �00parameter; thus a finite coverage can lead to an artificial deviation of �00from 1/3. We also show that a finite ηand pTcoverage affect the extracted pHparameter for hyperons when the real pHvalue is non-zero. Therefore proper corrections are necessary to reliably quantify the global polarization with experimental observables