Ground state and edge excitations of quantum Hall liquid at filling factor 2/3

We present a numerical study of fractional quantum Hall liquid at Landau level filling factor $\nu=2/3$ in a microscopic model including long-range Coulomb interaction and edge confining potential, based on the disc geometry. We find the ground state is accurately described by the particle-hole conjugate of a $\nu=1/3$ Laughlin state. We also find there are two counter-propagating edge modes, and the velocity of the forward-propagating mode is larger than the backward-propagating mode. The velocities have opposite responses to the change of the background confinement potential. On the other hand changing the two-body Coulomb potential has qualitatively the same effect on the velocities; for example we find increasing layer thickness (which softens of the Coulomb interaction) reduces both the forward mode and the backward mode velocities.Comment: 12 pages, 13 figure

Metamaterial absorber integrated microfluidic terahertz sensors

Spatial overlap between the electromagnetic fields and the analytes is a key factor for strong light-matter interaction leading to high sensitivity for label-free refractive index sensing. Usually, the overlap and therefore the sensitivity are limited by either the localized near field of plasmonic antennas or the decayed resonant mode outside the cavity applied to monitor the refractive index variation. In this paper, by constructing a metal microstructure array-dielectric-metal (MDM) structure, a novel metamaterial absorber integrated microfluidic (MAIM) sensor is proposed and demonstrated in terahertz (THz) range, where the dielectric layer of the MDM structure is hollow and acts as the microfluidic channel. Tuning the electromagnetic parameters of metamaterial absorber, greatly confined electromagnetic fields can be obtained in the channel resulting in significantly enhanced interaction between the analytes and the THz wave. A high sensitivity of 3.5 THz/RIU is predicted. The experimental results of devices working around 1 THz agree with the simulation ones well. The proposed idea to integrate metamaterial and microfluid with a large light-matter interaction can be extended to other frequency regions and has promising applications in matter detection and biosensing

Assessment of mild hypothermia combined with edaravone for the treatment of severe craniocerebral injury

Purpose: To study the clinical effect of combining mild hypothermia with edaravone in the treatment of severe craniocerebral injury. Methods: One hundred and twenty (120) patients with severe craniocerebral injury who were admitted to Tianjin Medical University General Hospital were assigned to control and study groups, respectively. Patients in the control group were given conventional treatment while those in the study group received combined treatment of mild hypothermia and edaravone, in addition to the conventional treatment received by control group. Clinical efficacy and prognosis were compared between the two groups. Results: The intracranial pressure (ICP) of both groups decreased after admission, but the decrease in ICP was more pronounced in the study group at various time points (p < 0.05). Blood lactic acid levels decreased in both groups after admission, while brain-derived neurotrophic factor (BDNF) levels increased. Improvement in blood lactic acid and BDNF was greater in the study group than in control group (p < 0.05). The treatment resulted in significant decrease in residual hematoma volume and edema range in the study group, relative to control (p < 0.05). There was a decrease in National Institutes of Health Stroke Scale (NIHSS) scores, and increase in Glasgow outcome scale (GOS) scores in both groups. However, improvement in NIHSS and GOS scores in the study group was superior to those in control group (p < 0.05). Conclusion: Mild hypothermia in combination with edaravone exerts a beneficial clinical effect in severe craniocerebral injury. The combined treatment rapidly reduces ICP and range of encephaledema, improves cerebral blood supply, promotes absorption of intracranial hematoma, and relieves nervous dysfunction

Constrained Reinforcement Learning for Dynamic Material Handling

As one of the core parts of flexible manufacturing systems, material handling involves storage and transportation of materials between workstations with automated vehicles. The improvement in material handling can impulse the overall efficiency of the manufacturing system. However, the occurrence of dynamic events during the optimisation of task arrangements poses a challenge that requires adaptability and effectiveness. In this paper, we aim at the scheduling of automated guided vehicles for dynamic material handling. Motivated by some real-world scenarios, unknown new tasks and unexpected vehicle breakdowns are regarded as dynamic events in our problem. We formulate the problem as a constrained Markov decision process which takes into account tardiness and available vehicles as cumulative and instantaneous constraints, respectively. An adaptive constrained reinforcement learning algorithm that combines Lagrangian relaxation and invalid action masking, named RCPOM, is proposed to address the problem with two hybrid constraints. Moreover, a gym-like dynamic material handling simulator, named DMH-GYM, is developed and equipped with diverse problem instances, which can be used as benchmarks for dynamic material handling. Experimental results on the problem instances demonstrate the outstanding performance of our proposed approach compared with eight state-of-the-art constrained and non-constrained reinforcement learning algorithms, and widely used dispatching rules for material handling.Comment: accepted by the 2023 International Joint Conference on Neural Networks (IJCNN

Production of Spin-Semiconducting Zigzag Graphene Nanoribbons by Constructing Asymmetric Notch on Graphene Edges

The electronic and magnetic properties of zigzag graphene nanoribbons with asymmetric notches along their edges are investigated by first principle density functional theory calculations. It is found that the electronic and magnetic properties of the asymmetrically-notched graphene nanoribbons are closely related with the depth of notches, but weekly dependent on the length of notches. As the relative depth of notch increases, the energy level of spin-up and spin-down becomes greatly shifted, associated with the gradual increase of magnetic momentum. The asymmetric band shift allows the asymmetrically notched graphene nanoribbons to be a spintronic semiconductor, through which an N- or P-type spin-semiconductor can be obtained by doping B or N atoms