Extracellular matrix (ECM) is a fibrous natural cell environment, possessing complicated micro- and nanoarchitectures, which provide extracellular signaling cues influence behaviors. Mimicking this three-dimensional microenvironment in vitro challenge developmental disease biology. Here, suspended multilayer hierarchical nanofiber assemblies (diameter from micrometers to less than 100 nm) with accurately controlled fiber orientation spacing are demonstrated as biological scaffolds fabricated...

In this letter, we propose a novel reinforcement learning (RL) based path generation (RL-PG) approach for mobile robot navigation without prior exploration of an unknown environment. Multiple predictive points are dynamically generated by deep Markov model optimized using RL the to track. To ensure safety when tracking points, robot's motion is fine-tuned fine-tuning module. Such approach, with algorithm planning, focuses on relationship between adjacent points. We analyze benefits our...

During mitosis, cells round up and utilize the interphase adhesion sites within fibrous extracellular matrix (ECM) as guidance cues to orient mitotic spindles. Here, using suspended ECM-mimicking nanofiber networks, we explore outcomes error distribution for various cell shapes. Elongated attached single fibers through two focal clusters (FACs) at their extremities result in perfect spherical bodies that undergo significant 3-dimensional (3D) displacement while being held by retraction...

We propose and analyze a trust-based data fusion scheme against spectrum sensing falsification attacks in distributed cognitive radio network. Our is based on mechanism design theory to motivate users report authentic so as improve the success rate. Further, we decouple erroneous reports due low capabilities from false attacks, thus avoiding unnecessary punishments benign users. conduct theoretical analysis validated with extensive simulation identify optimal parameter settings under which...

Cognitive radio is a promising solution for spectrum scarcities in the future. Secondary users (SUs) adopt cooperative sensing to learn primary user's (PU's) occupancy activity. This paper develops trust-based data aggregation scheme cope with malicious SU attack cognitive networks. The proposed combines first-hand and second-hand evidence guarantee overall performance adopts static game model discourage SUs from reporting fake detection parameters. Both theoretical simulation results show...

Abstract Cell fragments devoid of the nucleus play an essential role in intercellular communication. Mostly studied on flat 2D substrates, their origins and behavior native fibrous environments remain unknown. Here, cytoplasmic fragments’ spontaneous formation suspended extracellular matrices mimicking fiber architectures (parallel, crosshatch, hexagonal) are described. After cleaving from parent cell body, diverse shapes fibers migrate faster compared to 2D. Furthermore, while mostly...

Abstract Accurate positioning of the mitotic spindle within rounded cell body is critical to physiological maintenance. Adherent cells encounter confinement from neighboring or extracellular matrix (ECM), which can cause rotation spindles and, consequently, titling metaphase plate (MP). To understand and orientation under by fibers (ECM-confinement), we use flexible ECM-mimicking nanofibers that allow natural rounding while confining it differing levels. Rounded bodies are anchored in place...

We present an event-based approach for solving a directed sensemaking task in which we combine powerful information foraging tools with intuitive synthesis spaces to solve the VAST Challenge 2014 Mini-Challenge 1. A combination of student-created and commericially available software are used various aspects scenario. In addition applying entitiy extraction topic modelling, enable user explore large dataset using multi-model semantic interaction, infers analytical reasoning from actions...

For the drone motion planning problem in dense obstacle scenarios, we introduce a trajectory generation method based on imitation learning that does not require establish-ment of local map, which greatly increases speed. This utilizes only onboard sensors and depth camera perception. We specially made Imitation Learning Planning-Drones (ILP-Drones) dataset for training. The kinodynamic smoothness generated are improved with nonlinear optimization. uniform B-Spline parameterization is adopted...

Abstract During mitosis, cells round up and generate outward forces to create space orient the mitotic spindles. Here, using suspended ECM-mimicking nanofiber networks, we recapitulate in vivo adhesion organization confinement interrogate outcomes for various interphase cell shapes. Elongated attached single fibers through two focal clusters (FACs) at their extremities result perfect spherical bodies that undergo large 3D displacement while being held by retraction fibers. Increasing number...

We report the approach and results on VAST 2014 Mini-Challenge 2: Analysis Movement Tracking data of GAStech Employees' daily lives. Based commercial interactive visualization software Tableau[l], we follow sense-making loop for analysis massive multi-dimensional, multi-source time-varying sets. The findings show that can effectively identify patterns discovery anomaly from these complex

This paper proposes a quantization matrix design method for sparse representation-based image coding. In the proposed method, we define complexity of atoms in dictionary designed by K-SVD as simple total variation, and to quantize coefficients based on similarity with DCT HEVC. makes it possible perform coefficient adaptively each atom's feature. Experimental results show that provides higher coding efficiency comparison conventional uniform from point perceptual picture quality.

In this paper, we propose a novel reinforcement learning (RL) based path generation (RL-PG) approach for mobile robot navigation without prior exploration of an unknown environment. Multiple predictive points are dynamically generated by deep Markov model optimized using RL to track. To ensure the safety when tracking points, robot's motion is fine-tuned fine-tuning module. Such approach, with algorithm planning, focuses on relationship between adjacent points. We analyze benefits that our...