Random Beam-Based Non-Orthogonal Multiple Access for Low Latency K-User MISO Broadcast Channels.

In this paper, we propose random beam-based non-orthogonal multiple access (NOMA) for low latency multiple-input single-output (MISO) broadcast channels, where there is a target signal-to-interference-plus-noise power ratio (SINR) for each user. In our system model, there is a multi-antenna transmitter with its own single antenna users, and the transmitter selects and serves some of them. For low latency, the transmitter exploits random beams, which can reduce the feedback overhead for the channel acquisition, and each beam can support more than a single user with NOMA. In our proposed random beam-based NOMA, each user feeds a selected beam index, the corresponding SINR, and the channel gain, so it feeds one more scalar value compared to the conventional random beamforming. By allocating the same powers across the beams, the transmitter independently selects NOMA users for each beam, so it can also reduce the computational complexity. We optimize our proposed scheme finding the optimal user grouping and the optimal power allocation. The numerical results show that our proposed scheme outperforms the conventional random beamforming by supporting more users for each beam.

Highly Uniform and Low Hysteresis Piezoresistive Pressure Sensors Based on Chemical Grafting of Polypyrrole on Elastomer Template with Uniform Pore Size.

Sensor-to-sensor variability and high hysteresis of composite-based piezoresistive pressure sensors are two critical issues that need to be solved to enable their practical applicability. In this work, a piezoresistive pressure sensor composed of an elastomer template with uniformly sized and arranged pores, and a chemically grafted conductive polymer film on the surface of the pores is presented. Compared to sensors composed of randomly sized pores, which had a coefficient of variation (CV) in relative resistance change of 69.65%, our sensors exhibit much higher uniformity with a CV of 2.43%. This result is corroborated with finite element simulation, which confirms that with increasing pore size variability, the variability in sensor characteristics also increases. Furthermore, our devices exhibit negligible hysteresis (degree of hysteresis: 2%), owing to the strong chemical bonding between the conductive polymer and the elastomer template, which prevents their relative sliding and displacement, and the porosity of the elastomer that enhances elastic behavior. Such features of the sensor render it highly feasible for various practical applications in the near future.

Virtual-reality Cataract Surgery Simulator Using Haptic Sensory Substitution in Continuous Circular Capsulorhexis.

Cataract is one of the most common geriatric diseases, and surgery is known to be the best treatment. Despite the increasing demand for cataract surgery, the opportunity for novice residents to practice cataract surgery is gradually diminishing as the patient and animal ethics become strict. Therefore, there have been many attempts to overcome the lack of experience by using virtual reality training system. So far, most of the surgical training simulation devices so far focused on visual training, and when they have a haptic sense, they are tethered to a fixed station, which is different from the feeling of moving the actual surgical tool. In this study, we have developed a haptic surgical training tool with sensory substitution and virtual-reality-based cataract surgery simulator. To assess and reproduce the tactile senses during surgery, we prepared viscoelastic lens dummies and measured vibrations in contact and motion required during Continuous Circular Capsulorhexis (CCC). Based on measurement we designed vibration models for haptic sensory substitution and applied them to virtual reality simulator. With complete virtual reality training system, the contact vibration was successfully implemented for virtual contacts to reproduced realistic haptic senses.

Neuroblastoma SH-SY5Y cell-derived exosomes stimulate dendrite-like outgrowths and modify the differentiation of A375 melanoma cells.

The identification of small vesicles released by many cell types as tools of intercellular communication is proposed. Here, we identify SH-SY5Y neuroblastoma-derived exosomes comprised of major histocompatibility complex II (MHC II), Hsp90 and flotillin-1. Our data also suggest that, when applied extracellularly, exosomes released from neuronal cells stimulate dendrite-like outgrowth and melanogenesis of A375 melanoma cells through the mitogen-activated protein kinase (MAP kinase), extracellular signal-regulated kinase 1 (ERK1) activation. These results suggest a modification of differentiation of melanocyte by the treatment of neuronal cell exosomes. Since exosomes from neuronal cells have the capacity to affect melanoma cells, they could be generally implicated in intercellular communication between different types of cells.

Movement stability analysis of surface electromyography-based elbow power assistance.

The use of power assistive devices that use surface electromyography (SEMG) signals may be limited by the noisy nature of SEMG signals. The aim of this study was to investigate the variation in human movement stability while the amount of SEMG-based assistive power was changed. A robotic device provided a torque that was proportional to the torque estimated by SEMG for assisting human movements, and 12 volunteers participated in the elbow flexion experiments. The maximum finite-time Lyapunov exponent (MFTLE), the average logarithmic rate of the divergence of neighboring trajectories, and the variability of the kinematic data were used to quantify the stability of the assisted elbow movements. The stability provided by the MFTLE decreased as the amount of assistive torque increased with respect to the amount of human torque. The kinematic variability increased with the increase in assistive torque. Therefore, by ensuring that the amount of SEMG-based assistive torque is less than the amount of human torque, the assistance may provide relatively natural movements. This study is the first to quantify movement stability as SEMG-based assistive power is applied. This study can provide a foundation for determining the appropriate amount of SEMG-based assistive power.

Solubility enhancement of α-naphthoflavone by synthesized hydroxypropyl cyclic-(1→2)-ß-D-glucans (cyclosophoroases).

Rhizobium leguminosarum produces unbranched cyclic ß-1,2-glucans, cyclosophoraoses (Cys). In the present study, Cys were modified with hydroxypropyl groups via a one step chemical derivatization and the complexation ability and solubility enhancement of hydroxypropyl cyclosophoraoses (HP Cys) with α-naphthoflavone (α-NF) were investigated. In the presence of HP Cys, the aqueous solubility of α-NF greatly increased up to 257-fold. Complex formation of HP Cys and α-NF was confirmed by nuclear magnetic resonance (NMR), Fourier-transform infrared (FT-IR) spectroscopy, and differential scanning calorimetry (DSC). Furthermore, the morphological structure of α-NF with HP Cys was examined using scanning electron microscopy (SEM). A hypothetical model was proposed based on molecular dynamics (MD) simulations and a docking study of α-NF with HP Cys. Our results suggest that HP Cys form complexes with α-NF and can be utilized as a promising solubilizer. This is the first study to identify carbohydrates that can enhance the solubility of α-NF.

Joint force estimation using time-varying SEMG feature in fatiguing contraction.

Many studies have estimated joint force using surface electromyography (SEMG), however, the time-variant characteristic of SEMG is not considered. The change of SEMG amplitude is one of manifestations of muscle fatigue. This study proposes a force estimation method using SEMG in fatiguing contraction. The SEMG amplitude is used to determine the signal states by k-means clustering method. According to the signal state changes, the corresponding gain is used to estimate the force. The target contraction is an isometric abduction of an index finger in static and dynamic force conditions for 5 healthy subjects. The estimation performance was evaluated by percentage of root mean squared error (RMSE). The RMSE for the proposed method is 2.5 ± 1.0% under static condition and 8.8 ± 1.2% under dynamic condition. The accuracy using a constant gain calculated at initial time was used to compare with the proposed method. The RMSE are 8.9 ± 2.2% under static condition and 10.1 ± 2.4% under dynamic condition. The proposed method had better performance in both conditions.