The vocabulary gap between health seekers and providers has hindered the cross-system operability inter-user reusability. To bridge this gap, paper presents a novel scheme to code medical records by jointly utilizing local mining global learning approaches, which are tightly linked mutually reinforced. Local attempts individual record independently extracting concepts from itself then mapping them authenticated terminologies. A corpus-aware terminology is naturally constructed as byproduct,...

In recent years, we have witnessed a flourishing of location -based social networks. A well-formed representation knowledge is desired to cater the need sensing, browsing, navigation and querying. this paper, aim study semantics point-of-interest (POI) by exploiting abundant heterogeneous user generated content (UGC) from different Our idea explore text descriptions, photos, check-in patterns, venue context for semantic similarity measurement. We argue that play an important role in...

Around 40% of the questions in emerging social-oriented question answering forums have at most one manually labeled tag, which is caused by incomprehensive understanding or informal tagging behaviors. The incompleteness tags severely hinders all tag-based manipulations, such as feeds for topic-followers, ontological knowledge organization, and other basic statistics. This article presents a novel scheme that able to comprehensively learn descriptive each question. Extensive evaluations on...

A flow-through sensing platform based on open-ended porous silicon (PSi) microcavity membranes that are compatible with integration in on-chip sensor arrays is demonstrated. Because of the high aspect ratio PSi nanopores, performance closed-ended sensors limited by infiltration challenges and slow responses when detecting large molecules such as proteins nucleic acids. In order to improve molecule transport efficiency reduce response time, nanopore were used a scheme, allowing analyte...

You are in a new city. not familiar with the places and neighborhoods. want to know all about exciting sights, food outlets, cultural venues that locals frequent, particular those suit your personal interests. Even though there exist many mapping, local search, travel assistance sites, they mostly provide popular famous listings such as Statue of Liberty Eiffel Tower, which well-known but may needs or Therefore, is gap between what tourists dominant tourism resources providing. In this work,...

Volunteers have always been extremely crucial and in urgent need for nonprofit organizations (NPOs) to sustain their continuing operations. However, it is expensive time-consuming recruit volunteers using traditional approaches. In the Web 2.0 era, abundant ubiquitous social media data opens a door possibility of automatic volunteer identification. this article, we aim fully explore by proposing scheme that able predict users’ volunteerism tendency from user-generated contents collected...

We report a greater than 5-fold increase in the detection sensitivity and 3-fold reduction response time of planar silicon photonic biosensors by increasing density probe molecules through use an situ synthesis approach. DNA are grown base-by-base manner with desired sequence on ring resonator crystal biosensors, resulting surface area coverage compared to traditional covalent conjugation methods. With this approach, we demonstrate enhanced light–matter interaction, reduced optofluidic assay...

This work examines the influence of charge density and surface passivation on DNA-induced corrosion porous silicon (PSi) waveguides in order to improve PSi biosensor sensitivity, reliability, reproducibility when exposed negatively charged DNA molecules. Increasing concentration either probes or targets enhances process masks binding events. While by oxidation silanization is shown diminish rate lead a saturation changes after about 2 h, complete mitigation can be achieved replacing probe...

Peptide nucleic acids (PNA) are a unique class of synthetic molecules that have peptide backbone and can hybridize with acids. Here, versatile method has been developed for the automated, in situ synthesis PNA from porous silicon (PSi) substrate applications gene therapy biosensing. Nondestructive optical measurements were performed to monitor single base additions initiated (3-aminopropyl)triethoxysilane attached surface PSi films, mass spectrometry was conducted verify desired sequence....

Efficient mass transport through porous networks is essential for achieving rapid response times in sensing applications utilizing materials. In this work, we show that open-ended membranes can overcome diffusion challenges experienced by closed-ended materials a microfluidic environment. A theoretical model including both and reaction kinetics employed to study the influence of flow velocity, bulk analyte concentration, diffusivity, adsorption rate on performance sensors integrated with...

We report a smartphone compatible, low-cost porous silicon biosensor, which correlates the structural colour of microcavity (PSiM) to spectral peak position. Molecules captured in PSiM cause change that can be quantified through image analysis. Minimal external accessories are employed. Spectrometer measurements reflectance spectrum shifts carried out concurrently with benchmark accuracy biosensor. estimate biosensor supports an equivalent 0.33 nm for detection changes corresponding PSiM....

200 MeV proton damage effects on multi-quantum well GaAs/GaAlAs laser diodes are studied. The threshold current factor can vary from 1.73 to 4.60/spl times/10/sup -15/ cm/sup 2//p for different bias conditions and 1.52 3.58/spl incident directions. A simple model, based factor, is presented quantify the degradation of optical power. Preliminary annealing also presented. greater devices shorted during irradiation than those biased at I/sub bias/=35 mA.

In location-based social networks (LBSNs), users implicitly interact with each other by visiting places, issuing comments and/or uploading photos. These heterogeneous interactions convey the latent information for identifying meaningful user groups, namely communities, which exhibit unique location-oriented characteristics. this work, we aim to detect and profile communities in LBSNs representing a multimodality nonuniform hypergraph. Here, vertices of hypergraph are users, venues, textual...

The threshold current of multi-quantum well laser diodes increased by about 1.5 mA at a proton fluence 6/spl times/10/sup 12/ p/cm/sup 2/. It recovered gradually due to forward-bias annealing I/sub bias/=35 and became 0.8 less than before irradiation after 86 h forward bias annealing. At the same time, optical power given greater irradiation. There is fast recovery during first 100 s Increasing speeds up process. degradation flux 1.87/spl 9/ 2//s (4.7% 2/) that 1.45/spl 10/ (10.5% in-situ effects.

The charge density distribution in 2,2′-dihydroxy-1,1′-naphthalazine (Pigment Yellow 101; P.Y.101) has been determined using high-resolution X-ray diffraction and multipole refinement, along with functional theory calculations.

Proton damage effects on multi-quantum-well (MQW) GaAs/GaAlAs laser diodes are studied using both current vs, voltage (I-V) and optical power vs. (L-I) characteristics. The lifetime factor is calculated from I-V characteristics compared with the commonly used threshold L-I larger than factor. This difference explained by different values of radiative when measuring factors in operating regions. two at proton energies 70 MeV to 200 MeV.

We often remember images and videos that we have seen or recorded before but cannot quite recall the exact venues details of contents. typically vague memories contents, which can be expressed as a textual description and/or rough visual descriptions scenes. Using these memories, then want to search for corresponding interest. call this “Memory Recall based Video Search” (MRVS). To tackle problem, propose video system permits user input his/her incomplete query combination text query,...

This paper is concerned with the task of biomedical Question Answering (QA) which refers to extracting an answer given question from a context. Current works have made progress on this task, but they are still severely restricted by insufficient training data due domain-specific nature, motivates us further explore powerful way solve problem. We propose Hierarchical Question-Aware Context Learning (HQACL) model for QA constituted multi-level attention. The interaction between and context can...