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Sample records for multimodal em cirurgia

  1. The Intersection of Multimodality and Critical Perspective: Multimodality as Subversion

    ERIC Educational Resources Information Center

    Huang, Shin-ying

    2015-01-01

    This study explores the relevance of multimodality to critical media literacy. It is based on the understanding that communication is intrinsically multimodal and multimodal communication is inherently social and ideological. By analysing two English-language learners' multimodal ensembles, the study reports on how multimodality contributes to a…

  2. Multimodal Learning Clubs

    ERIC Educational Resources Information Center

    Casey, Heather

    2012-01-01

    Multimodal learning clubs link principles of motivation and engagement with 21st century technological tools and texts to support content area learning. The author describes how a sixth grade health teacher and his class incorporated multimodal learning clubs into a unit of study on human body systems. The students worked collaboratively online…

  3. Multimodal sequence learning.

    PubMed

    Kemény, Ferenc; Meier, Beat

    2016-02-01

    While sequence learning research models complex phenomena, previous studies have mostly focused on unimodal sequences. The goal of the current experiment is to put implicit sequence learning into a multimodal context: to test whether it can operate across different modalities. We used the Task Sequence Learning paradigm to test whether sequence learning varies across modalities, and whether participants are able to learn multimodal sequences. Our results show that implicit sequence learning is very similar regardless of the source modality. However, the presence of correlated task and response sequences was required for learning to take place. The experiment provides new evidence for implicit sequence learning of abstract conceptual representations. In general, the results suggest that correlated sequences are necessary for implicit sequence learning to occur. Moreover, they show that elements from different modalities can be automatically integrated into one unitary multimodal sequence.

  4. Multimodal Information Exploration.

    ERIC Educational Resources Information Center

    Stock, Oliviero; Zancanaro, Massimo; Strapparava, Carlo

    1997-01-01

    Discussion of information exploration and software design in computer-based educational systems focuses on the integration of hypermedia and natural language dialog. AlFRESCO is described, an interactive natural language-centered multimodal system that was developed for users interested in frescoes and paintings. (LRW)

  5. Multimode optical fiber

    SciTech Connect

    Bigot-Astruc, Marianne; Molin, Denis; Sillard, Pierre

    2014-11-04

    A depressed graded-index multimode optical fiber includes a central core, an inner depressed cladding, a depressed trench, an outer depressed cladding, and an outer cladding. The central core has an alpha-index profile. The depressed claddings limit the impact of leaky modes on optical-fiber performance characteristics (e.g., bandwidth, core size, and/or numerical aperture).

  6. Generating Multimodal References

    ERIC Educational Resources Information Center

    van der Sluis, Ielka; Krahmer, Emiel

    2007-01-01

    This article presents a new computational model for the generation of multimodal referring expressions (REs), based on observations in human communication. The algorithm is an extension of the graph-based algorithm proposed by Krahmer, van Erk, and Verleg (2003) and makes use of a so-called Flashlight Model for pointing. The Flashlight Model…

  7. Multimodal eye recognition

    NASA Astrophysics Data System (ADS)

    Zhou, Zhi; Du, Yingzi; Thomas, N. L.; Delp, Edward J., III

    2010-04-01

    Multimodal biometrics use more than one means of biometric identification to achieve higher recognition accuracy, since sometimes a unimodal biometric is not good enough used to do identification and classification. In this paper, we proposed a multimodal eye recognition system, which can obtain both iris and sclera patterns from one color eye image. Gabor filter and 1-D Log-Gabor filter algorithms have been applied as the iris recognition algorithms. In sclera recognition, we introduced automatic sclera segmentation, sclera pattern enhancement, sclera pattern template generation, and sclera pattern matching. We applied kernelbased matching score fusion to improve the performance of the eye recognition system. The experimental results show that the proposed eye recognition method can achieve better performance compared to unimodal biometric identification, and the accuracy of our proposed kernel-based matching score fusion method is higher than two classic linear matching score fusion methods: Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA).

  8. Learning multimodal latent attributes.

    PubMed

    Fu, Yanwei; Hospedales, Timothy M; Xiang, Tao; Gong, Shaogang

    2014-02-01

    The rapid development of social media sharing has created a huge demand for automatic media classification and annotation techniques. Attribute learning has emerged as a promising paradigm for bridging the semantic gap and addressing data sparsity via transferring attribute knowledge in object recognition and relatively simple action classification. In this paper, we address the task of attribute learning for understanding multimedia data with sparse and incomplete labels. In particular, we focus on videos of social group activities, which are particularly challenging and topical examples of this task because of their multimodal content and complex and unstructured nature relative to the density of annotations. To solve this problem, we 1) introduce a concept of semilatent attribute space, expressing user-defined and latent attributes in a unified framework, and 2) propose a novel scalable probabilistic topic model for learning multimodal semilatent attributes, which dramatically reduces requirements for an exhaustive accurate attribute ontology and expensive annotation effort. We show that our framework is able to exploit latent attributes to outperform contemporary approaches for addressing a variety of realistic multimedia sparse data learning tasks including: multitask learning, learning with label noise, N-shot transfer learning, and importantly zero-shot learning.

  9. Vector-Resonance-Multimode Instability

    NASA Astrophysics Data System (ADS)

    Sergeyev, S. V.; Kbashi, H.; Tarasov, N.; Loiko, Yu.; Kolpakov, S. A.

    2017-01-01

    The modulation and multimode instabilities are the main mechanisms which drive spontaneous spatial and temporal pattern formation in a vast number of nonlinear systems ranging from biology to laser physics. Using an Er-doped fiber laser as a test bed, here for the first time we demonstrate both experimentally and theoretically a new type of a low-threshold vector-resonance-multimode instability which inherits features of multimode and modulation instabilities. The same as for the multimode instability, a large number of longitudinal modes can be excited without mode synchronization. To enable modulation instability, we modulate the state of polarization of the lasing signal with the period of the beat length by an adjustment of the in-cavity birefringence and the state of polarization of the pump wave. As a result, we show the regime's tunability from complex oscillatory to periodic with longitudinal mode synchronization in the case of resonance matching between the beat and cavity lengths. Apart from the interest in laser physics for unlocking the tunability and stability of dynamic regimes, the proposed mechanism of the vector-resonance-multimode instability can be of fundamental interest for the nonlinear dynamics of various distributed systems.

  10. Multimodal Hip Hop Productions as Media Literacies

    ERIC Educational Resources Information Center

    Turner, K. C. Nat

    2012-01-01

    This study draws on ethnographic data from a year-long multimodal media production (MMP) course and the experience of an African American female adolescent who used the production of multimodal Hip Hop texts to express her creativity and growing socially conscious view of the world. The study demonstrates how students made meaning multimodally and…

  11. Locating the Semiotic Power of Multimodality

    ERIC Educational Resources Information Center

    Hull, Glynda A.; Nelson, Mark Evan

    2005-01-01

    This article reports research that attempts to characterize what is powerful about digital multimodal texts. Building from recent theoretical work on understanding the workings and implications of multimodal communication, the authors call for a continuing empirical investigation into the roles that digital multimodal texts play in real-world…

  12. Multimodal Friction Ignition Tester

    NASA Technical Reports Server (NTRS)

    Davis, Eddie; Howard, Bill; Herald, Stephen

    2009-01-01

    The multimodal friction ignition tester (MFIT) is a testbed for experiments on the thermal and mechanical effects of friction on material specimens in pressurized, oxygen-rich atmospheres. In simplest terms, a test involves recording sensory data while rubbing two specimens against each other at a controlled normal force, with either a random stroke or a sinusoidal stroke having controlled amplitude and frequency. The term multimodal in the full name of the apparatus refers to a capability for imposing any combination of widely ranging values of the atmospheric pressure, atmospheric oxygen content, stroke length, stroke frequency, and normal force. The MFIT was designed especially for studying the tendency toward heating and combustion of nonmetallic composite materials and the fretting of metals subjected to dynamic (vibrational) friction forces in the presence of liquid oxygen or pressurized gaseous oxygen test conditions approximating conditions expected to be encountered in proposed composite material oxygen tanks aboard aircraft and spacecraft in flight. The MFIT includes a stainless-steel pressure vessel capable of retaining the required test atmosphere. Mounted atop the vessel is a pneumatic cylinder containing a piston for exerting the specified normal force between the two specimens. Through a shaft seal, the piston shaft extends downward into the vessel. One of the specimens is mounted on a block, denoted the pressure block, at the lower end of the piston shaft. This specimen is pressed down against the other specimen, which is mounted in a recess in another block, denoted the slip block, that can be moved horizontally but not vertically. The slip block is driven in reciprocating horizontal motion by an electrodynamic vibration exciter outside the pressure vessel. The armature of the electrodynamic exciter is connected to the slip block via a horizontal shaft that extends into the pressure vessel via a second shaft seal. The reciprocating horizontal

  13. Multimodal Neuroelectric Interface Development

    NASA Technical Reports Server (NTRS)

    Trejo, Leonard J.; Wheeler, Kevin R.; Jorgensen, Charles C.; Totah, Joseph (Technical Monitor)

    2001-01-01

    This project aims to improve performance of NASA missions by developing multimodal neuroelectric technologies for augmented human-system interaction. Neuroelectric technologies will add completely new modes of interaction that operate in parallel with keyboards, speech, or other manual controls, thereby increasing the bandwidth of human-system interaction. We recently demonstrated the feasibility of real-time electromyographic (EMG) pattern recognition for a direct neuroelectric human-computer interface. We recorded EMG signals from an elastic sleeve with dry electrodes, while a human subject performed a range of discrete gestures. A machine-teaming algorithm was trained to recognize the EMG patterns associated with the gestures and map them to control signals. Successful applications now include piloting two Class 4 aircraft simulations (F-15 and 757) and entering data with a "virtual" numeric keyboard. Current research focuses on on-line adaptation of EMG sensing and processing and recognition of continuous gestures. We are also extending this on-line pattern recognition methodology to electroencephalographic (EEG) signals. This will allow us to bypass muscle activity and draw control signals directly from the human brain. Our system can reliably detect P-rhythm (a periodic EEG signal from motor cortex in the 10 Hz range) with a lightweight headset containing saline-soaked sponge electrodes. The data show that EEG p-rhythm can be modulated by real and imaginary motions. Current research focuses on using biofeedback to train of human subjects to modulate EEG rhythms on demand, and to examine interactions of EEG-based control with EMG-based and manual control. Viewgraphs on these neuroelectric technologies are also included.

  14. A Learning Algorithm for Multimodal Grammar Inference.

    PubMed

    D'Ulizia, A; Ferri, F; Grifoni, P

    2011-12-01

    The high costs of development and maintenance of multimodal grammars in integrating and understanding input in multimodal interfaces lead to the investigation of novel algorithmic solutions in automating grammar generation and in updating processes. Many algorithms for context-free grammar inference have been developed in the natural language processing literature. An extension of these algorithms toward the inference of multimodal grammars is necessary for multimodal input processing. In this paper, we propose a novel grammar inference mechanism that allows us to learn a multimodal grammar from its positive samples of multimodal sentences. The algorithm first generates the multimodal grammar that is able to parse the positive samples of sentences and, afterward, makes use of two learning operators and the minimum description length metrics in improving the grammar description and in avoiding the over-generalization problem. The experimental results highlight the acceptable performances of the algorithm proposed in this paper since it has a very high probability of parsing valid sentences.

  15. Multimodal Revision Techniques in Webtexts

    ERIC Educational Resources Information Center

    Ball, Cheryl E.

    2014-01-01

    This article examines how an online scholarly journal, "Kairos: Rhetoric, Technology, Pedagogy," mentors authors to revise their webtexts (interactive, digital media scholarship) for publication. Using an editorial pedagogy in which multimodal and rhetorical genre theories are merged with revision techniques found in process-based…

  16. Multimodality as a Sociolinguistic Resource

    ERIC Educational Resources Information Center

    Collister, Lauren Brittany

    2013-01-01

    This work explores the use of multimodal communication in a community of expert "World of Warcraft"® players and its impact on politeness, identity, and relationships. Players in the community regularly communicated using three linguistic modes quasi-simultaneously: text chat, voice chat, and face-to-face interaction. Using the…

  17. Multimodal imaging of ischemic wounds

    NASA Astrophysics Data System (ADS)

    Zhang, Shiwu; Gnyawali, Surya; Huang, Jiwei; Liu, Peng; Gordillo, Gayle; Sen, Chandan K.; Xu, Ronald

    2012-12-01

    The wound healing process involves the reparative phases of inflammation, proliferation, and remodeling. Interrupting any of these phases may result in chronically unhealed wounds, amputation, or even patient death. Quantitative assessment of wound tissue ischemia, perfusion, and inflammation provides critical information for appropriate detection, staging, and treatment of chronic wounds. However, no method is available for noninvasive, simultaneous, and quantitative imaging of these tissue parameters. We integrated hyperspectral, laser speckle, and thermographic imaging modalities into a single setup for multimodal assessment of tissue oxygenation, perfusion, and inflammation characteristics. Advanced algorithms were developed for accurate reconstruction of wound oxygenation and appropriate co-registration between different imaging modalities. The multimodal wound imaging system was validated by an ongoing clinical trials approved by OSU IRB. In the clinical trial, a wound of 3mm in diameter was introduced on a healthy subject's lower extremity and the healing process was serially monitored by the multimodal imaging setup. Our experiments demonstrated the clinical usability of multimodal wound imaging.

  18. Multi-Modality Phantom Development

    SciTech Connect

    Huber, Jennifer S.; Peng, Qiyu; Moses, William W.

    2009-03-20

    Multi-modality imaging has an increasing role in the diagnosis and treatment of a large number of diseases, particularly if both functional and anatomical information are acquired and accurately co-registered. Hence, there is a resulting need for multi modality phantoms in order to validate image co-registration and calibrate the imaging systems. We present our PET-ultrasound phantom development, including PET and ultrasound images of a simple prostate phantom. We use agar and gelatin mixed with a radioactive solution. We also present our development of custom multi-modality phantoms that are compatible with PET, transrectal ultrasound (TRUS), MRI and CT imaging. We describe both our selection of tissue mimicking materials and phantom construction procedures. These custom PET-TRUS-CT-MRI prostate phantoms use agargelatin radioactive mixtures with additional contrast agents and preservatives. We show multi-modality images of these custom prostate phantoms, as well as discuss phantom construction alternatives. Although we are currently focused on prostate imaging, this phantom development is applicable to many multi-modality imaging applications.

  19. Underwater Multimode Directional Transducer Evaluation

    DTIC Science & Technology

    2003-12-01

    The work described in the present thesis is intended to establish a procedure for analyzing directional transducers for future underwater wireless...networks, as well as to carry out the performance evaluation of a multimode transducer prototype with respect to its main operational requirements

  20. Large area TES spiderweb bolometer for multi-mode cavity microwave detect

    NASA Astrophysics Data System (ADS)

    Biasotti, M.; Bagliani, D.; Ceriale, V.; Corsini, D.; De Bernardis, P.; Gatti, F.; Gualtieri, R.; Lamagna, L.; Masi, S.; Pizzigoni, G.; Schillaci, A.

    2014-07-01

    Large area spiderweb bolometers of 8 mm diameter and a mesh size of 250 μm are fabricated in order to couple with approximately the first 20 modes of a multimode EM cavity at about 140 GHz. The sensor is a Ti/Au/Ti 3 layer TES with Tc tuned in the 330-380 mK and 2 mK transition width. We describe the detector design and the fabrication process, early TES electro-thermal measurements. We also report optical coupling measurement and show the multimode coupling.

  1. Multimode-singlemode-multimode fiber sensor for alcohol sensing application

    NASA Astrophysics Data System (ADS)

    Rofi'ah, Iftihatur; Hatta, A. M.; Sekartedjo, Sekartedjo

    2016-11-01

    Alcohol is volatile and flammable liquid which is soluble substances both on polar and non polar substances that has been used in some industrial sectors. Alcohol detection method now widely used one of them is the optical fiber sensor. In this paper used fiber optic sensor based on Multimode-Single-mode-Multimode (MSM) to detect alcohol solution at a concentration range of 0-3%. The working principle of sensor utilizes the modal interference between the core modes and the cladding modes, thus make the sensor sensitive to environmental changes. The result showed that characteristic of the sensor not affect the length of the single-mode fiber (SMF). We obtain that the sensor with a length of 5 mm of single-mode can sensing the alcohol with a sensitivity of 0.107 dB/v%.

  2. Experimental verification of MMI by singlemode-multimode-singlemode and multimode-singlemode structures

    NASA Astrophysics Data System (ADS)

    Majumder, Saikat; Ghosh, Amarnath; Roy, Bapita; Chakraborty, Rajib

    2015-06-01

    Multimode Interference (MMI) based on self imaging phenomenon is investigated using matrix approach. Experimentally MMI is verified using singlemode-multimode-singlemode and multimodesinglemode structures of optical fiber. The results obtained are also verified by BPM technique.

  3. Multi-Mode Broadband Patch Antenna

    NASA Technical Reports Server (NTRS)

    Romanofsky, Robert R. (Inventor)

    2001-01-01

    A multi-mode broad band patch antenna is provided that allows for the same aperture to be used at independent frequencies such as reception at 19 GHz and transmission at 29 GHz. Furthermore, the multi-mode broadband patch antenna provides a ferroelectric film that allows for tuning capability of the multi-mode broadband patch antenna over a relatively large tuning range. The alternative use of a semiconductor substrate permits reduced control voltages since the semiconductor functions as a counter electrode.

  4. Multimodal CT in stroke imaging: new concepts.

    PubMed

    Ledezma, Carlos J; Wintermark, Max

    2009-01-01

    A multimodal CT protocol provides a comprehensive noninvasive survey of acute stroke patients with accurate demonstration of the site of arterial occlusion and its hemodynamic tissue status. It combines widespread availability with the ability to provide functional characterization of cerebral ischemia, and could potentially allow more accurate selection of candidates for acute stroke reperfusion therapy. This article discusses the individual components of multimodal CT and addresses the potential role of a combined multimodal CT stroke protocol in acute stroke therapy.

  5. Multimodal Estimation of Distribution Algorithms.

    PubMed

    Yang, Qiang; Chen, Wei-Neng; Li, Yun; Chen, C L Philip; Xu, Xiang-Min; Zhang, Jun

    2016-02-15

    Taking the advantage of estimation of distribution algorithms (EDAs) in preserving high diversity, this paper proposes a multimodal EDA. Integrated with clustering strategies for crowding and speciation, two versions of this algorithm are developed, which operate at the niche level. Then these two algorithms are equipped with three distinctive techniques: 1) a dynamic cluster sizing strategy; 2) an alternative utilization of Gaussian and Cauchy distributions to generate offspring; and 3) an adaptive local search. The dynamic cluster sizing affords a potential balance between exploration and exploitation and reduces the sensitivity to the cluster size in the niching methods. Taking advantages of Gaussian and Cauchy distributions, we generate the offspring at the niche level through alternatively using these two distributions. Such utilization can also potentially offer a balance between exploration and exploitation. Further, solution accuracy is enhanced through a new local search scheme probabilistically conducted around seeds of niches with probabilities determined self-adaptively according to fitness values of these seeds. Extensive experiments conducted on 20 benchmark multimodal problems confirm that both algorithms can achieve competitive performance compared with several state-of-the-art multimodal algorithms, which is supported by nonparametric tests. Especially, the proposed algorithms are very promising for complex problems with many local optima.

  6. Advances in multimodality molecular imaging

    PubMed Central

    Zaidi, Habib; Prasad, Rameshwar

    2009-01-01

    Multimodality molecular imaging using high resolution positron emission tomography (PET) combined with other modalities is now playing a pivotal role in basic and clinical research. The introduction of combined PET/CT systems in clinical setting has revolutionized the practice of diagnostic imaging. The complementarity between the intrinsically aligned anatomic (CT) and functional or metabolic (PET) information provided in a “one-stop shop” and the possibility to use CT images for attenuation correction of the PET data has been the driving force behind the success of this technology. On the other hand, combining PET with Magnetic Resonance Imaging (MRI) in a single gantry is technically more challenging owing to the strong magnetic fields. Nevertheless, significant progress has been made resulting in the design of few preclinical PET systems and one human prototype dedicated for simultaneous PET/MR brain imaging. This paper discusses recent advances in PET instrumentation and the advantages and challenges of multimodality imaging systems. Future opportunities and the challenges facing the adoption of multimodality imaging instrumentation will also be addressed. PMID:20098557

  7. Radioactive Nanomaterials for Multimodality Imaging

    PubMed Central

    Chen, Daiqin; Dougherty, Casey A.; Yang, Dongzhi; Wu, Hongwei; Hong, Hao

    2016-01-01

    Nuclear imaging techniques, including primarily positron emission tomography (PET) and single-photon emission computed tomography (SPECT), can provide quantitative information for a biological event in vivo with ultra-high sensitivity, however, the comparatively low spatial resolution is their major limitation in clinical application. By convergence of nuclear imaging with other imaging modalities like computed tomography (CT), magnetic resonance imaging (MRI) and optical imaging, the hybrid imaging platforms can overcome the limitations from each individual imaging technique. Possessing versatile chemical linking ability and good cargo-loading capacity, radioactive nanomaterials can serve as ideal imaging contrast agents. In this review, we provide a brief overview about current state-of-the-art applications of radioactive nanomaterials in the circumstances of multimodality imaging. We present strategies for incorporation of radioisotope(s) into nanomaterials along with applications of radioactive nanomaterials in multimodal imaging. Advantages and limitations of radioactive nanomaterials for multimodal imaging applications are discussed. Finally, a future perspective of possible radioactive nanomaterial utilization is presented for improving diagnosis and patient management in a variety of diseases. PMID:27227167

  8. Multimodal Literacies in the Secondary English Classroom

    ERIC Educational Resources Information Center

    Sewell, William C.; Denton, Shawn

    2011-01-01

    To provide insight into the issue of multimodal literacy instruction, the authors explore presentation techniques and instructional activities employed in their secondary language arts classes. They collaborate on assignments that focus students on "anchored media instruction" and engage them in producing multimodal, technology-infused projects,…

  9. Multimodal Narrative Inquiry: Six Teacher Candidates Respond

    ERIC Educational Resources Information Center

    Morawski, Cynthia M.; Rottmann, Jennifer

    2016-01-01

    In this paper we present findings of a study on the implementation of a multimodal teacher narrative inquiry component, theoretically grounded by Rosenblatt's theory of transaction analysis, methodologically supported by action research and practically enacted by narrative inquiry and multimodal learning. In particular, the component offered…

  10. Radiolabeled Nanoparticles for Multimodality Tumor Imaging

    PubMed Central

    Xing, Yan; Zhao, Jinhua; Conti, Peter S.; Chen, Kai

    2014-01-01

    Each imaging modality has its own unique strengths. Multimodality imaging, taking advantages of strengths from two or more imaging modalities, can provide overall structural, functional, and molecular information, offering the prospect of improved diagnostic and therapeutic monitoring abilities. The devices of molecular imaging with multimodality and multifunction are of great value for cancer diagnosis and treatment, and greatly accelerate the development of radionuclide-based multimodal molecular imaging. Radiolabeled nanoparticles bearing intrinsic properties have gained great interest in multimodality tumor imaging over the past decade. Significant breakthrough has been made toward the development of various radiolabeled nanoparticles, which can be used as novel cancer diagnostic tools in multimodality imaging systems. It is expected that quantitative multimodality imaging with multifunctional radiolabeled nanoparticles will afford accurate and precise assessment of biological signatures in cancer in a real-time manner and thus, pave the path towards personalized cancer medicine. This review addresses advantages and challenges in developing multimodality imaging probes by using different types of nanoparticles, and summarizes the recent advances in the applications of radiolabeled nanoparticles for multimodal imaging of tumor. The key issues involved in the translation of radiolabeled nanoparticles to the clinic are also discussed. PMID:24505237

  11. A Cuckoo Search Algorithm for Multimodal Optimization

    PubMed Central

    2014-01-01

    Interest in multimodal optimization is expanding rapidly, since many practical engineering problems demand the localization of multiple optima within a search space. On the other hand, the cuckoo search (CS) algorithm is a simple and effective global optimization algorithm which can not be directly applied to solve multimodal optimization problems. This paper proposes a new multimodal optimization algorithm called the multimodal cuckoo search (MCS). Under MCS, the original CS is enhanced with multimodal capacities by means of (1) the incorporation of a memory mechanism to efficiently register potential local optima according to their fitness value and the distance to other potential solutions, (2) the modification of the original CS individual selection strategy to accelerate the detection process of new local minima, and (3) the inclusion of a depuration procedure to cyclically eliminate duplicated memory elements. The performance of the proposed approach is compared to several state-of-the-art multimodal optimization algorithms considering a benchmark suite of fourteen multimodal problems. Experimental results indicate that the proposed strategy is capable of providing better and even a more consistent performance over existing well-known multimodal algorithms for the majority of test problems yet avoiding any serious computational deterioration. PMID:25147850

  12. A cuckoo search algorithm for multimodal optimization.

    PubMed

    Cuevas, Erik; Reyna-Orta, Adolfo

    2014-01-01

    Interest in multimodal optimization is expanding rapidly, since many practical engineering problems demand the localization of multiple optima within a search space. On the other hand, the cuckoo search (CS) algorithm is a simple and effective global optimization algorithm which can not be directly applied to solve multimodal optimization problems. This paper proposes a new multimodal optimization algorithm called the multimodal cuckoo search (MCS). Under MCS, the original CS is enhanced with multimodal capacities by means of (1) the incorporation of a memory mechanism to efficiently register potential local optima according to their fitness value and the distance to other potential solutions, (2) the modification of the original CS individual selection strategy to accelerate the detection process of new local minima, and (3) the inclusion of a depuration procedure to cyclically eliminate duplicated memory elements. The performance of the proposed approach is compared to several state-of-the-art multimodal optimization algorithms considering a benchmark suite of fourteen multimodal problems. Experimental results indicate that the proposed strategy is capable of providing better and even a more consistent performance over existing well-known multimodal algorithms for the majority of test problems yet avoiding any serious computational deterioration.

  13. Filter. Remix. Make.: Cultivating Adaptability through Multimodality

    ERIC Educational Resources Information Center

    Dusenberry, Lisa; Hutter, Liz; Robinson, Joy

    2015-01-01

    This article establishes traits of adaptable communicators in the 21st century, explains why adaptability should be a goal of technical communication educators, and shows how multimodal pedagogy supports adaptability. Three examples of scalable, multimodal assignments (infographics, research interviews, and software demonstrations) that evidence…

  14. Multimode optical fibers: steady state mode exciter.

    PubMed

    Ikeda, M; Sugimura, A; Ikegami, T

    1976-09-01

    The steady state mode power distribution of the multimode graded index fiber was measured. A simple and effective steady state mode exciter was fabricated by an etching technique. Its insertion loss was 0.5 dB for an injection laser. Deviation in transmission characteristics of multimode graded index fibers can be avoided by using the steady state mode exciter.

  15. Multimodality, Literacy and Texts: Developing a Discourse

    ERIC Educational Resources Information Center

    Bearne, Eve

    2009-01-01

    This article argues for the development of a framework through which to describe children's multimodal texts. Such a shared discourse should be capable of including different modes and media and the ways in which children integrate and combine them for their own meaning-making purposes. It should also acknowledge that multimodal texts are not…

  16. Evaluating Multimodal Literacies in Student Blogs

    ERIC Educational Resources Information Center

    O'Byrne, Barbara; Murrell, Stacey

    2014-01-01

    This research presents ways in which high school students used the multimodal and interactive affordances of blogs to create, organize, communicate and participate on an educational blog. Their actions demonstrated how plural modes of literacy are infiltrating digital environments and reshaping literacy and learning. Multimodal blogging practices…

  17. Multimodal Pedagogies for Teacher Education in TESOL

    ERIC Educational Resources Information Center

    Yi, Youngjoo; Angay-Crowder, Tuba

    2016-01-01

    As a growing number of English language learners (ELLs) engage in digital and multimodal literacy practices in their daily lives, teachers are starting to incorporate multimodal approaches into their instruction. However, anecdotal and empirical evidence shows that teachers often feel unprepared for integrating such practices into their curricula…

  18. Drusen Characterization with Multimodal Imaging

    PubMed Central

    Spaide, Richard F.; Curcio, Christine A.

    2010-01-01

    Summary Multimodal imaging findings and histological demonstration of soft drusen, cuticular drusen, and subretinal drusenoid deposits provided information used to develop a model explaining their imaging characteristics. Purpose To characterize the known appearance of cuticular drusen, subretinal drusenoid deposits (reticular pseudodrusen), and soft drusen as revealed by multimodal fundus imaging; to create an explanatory model that accounts for these observations. Methods Reported color, fluorescein angiographic, autofluorescence, and spectral domain optical coherence tomography (SD-OCT) images of patients with cuticular drusen, soft drusen, and subretinal drusenoid deposits were reviewed, as were actual images from affected eyes. Representative histological sections were examined. The geometry, location, and imaging characteristics of these lesions were evaluated. A hypothesis based on the Beer-Lambert Law of light absorption was generated to fit these observations. Results Cuticular drusen appear as numerous uniform round yellow-white punctate accumulations under the retinal pigment epithelium (RPE). Soft drusen are larger yellow-white dome-shaped mounds of deposit under the RPE. Subretinal drusenoid deposits are polymorphous light-grey interconnected accumulations above the RPE. Based on the model, both cuticular and soft drusen appear yellow due to the removal of shorter wavelength light by a double pass through the RPE. Subretinal drusenoid deposits, which are located on the RPE, are not subjected to short wavelength attenuation and therefore are more prominent when viewed with blue light. The location and morphology of extracellular material in relationship to the RPE, and associated changes to RPE morphology and pigmentation, appeared to be primary determinants of druse appearance in different imaging modalities. Conclusion Although cuticular drusen, subretinal drusenoid deposits, and soft drusen are composed of common components, they are distinguishable

  19. Metawidgets in the multimodal interface

    SciTech Connect

    Blattner, M.M. Anderson Cancer Center, Houston, TX ); Glinert, E.P.; Jorge, J.A.; Ormsby, G.R. . Dept. of Computer Science)

    1991-01-01

    We analyze two intertwined and fundamental issues concerning computer-to-human communication in the multimodal interfaces: the interplay between sound and graphics, and the role of object persistence. Our observations lead us to introduce metawidgets as abstract entities capable of manifesting themselves to users as image, as sound, or as various combinations and/or sequences of the two media. We show examples of metawidgets in action, and discuss mechanisms for choosing among alternative media for metawidget instantiation. Finally, we describe a couple of experimental microworlds we have implemented to test out some of our ideas. 17 refs., 7 figs.

  20. Multimodal signature modeling of humans

    NASA Astrophysics Data System (ADS)

    Cathcart, J. Michael; Kocher, Brian; Prussing, Keith; Lane, Sarah; Thomas, Alan

    2010-04-01

    Georgia Tech been investigating method for the detection of covert personnel in traditionally difficult environments (e.g., urban, caves). This program focuses on a detailed phenomenological analysis of human physiology and signatures with the subsequent identification and characterization of potential observables. Both aspects are needed to support the development of personnel detection and tracking algorithms. The difficult nature of these personnel-related problems dictates a multimodal sensing approach. Human signature data of sufficient and accurate quality and quantity do not exist, thus the development of an accurate signature model for a human is needed. This model should also simulate various human activities to allow motion-based observables to be exploited. This paper will describe a multimodal signature modeling approach that incorporates human physiological aspects, thermoregulation, and dynamics into the signature calculation. This approach permits both passive and active signatures to be modeled. The focus of the current effort involved the computation of signatures in urban environments. This paper will discuss the development of a human motion model for use in simulating both electro-optical signatures and radar-based signatures. Video sequences of humans in a simulated urban environment will also be presented; results using these sequences for personnel tracking will be presented.

  1. Untangled modes in multimode waveguides

    NASA Astrophysics Data System (ADS)

    Plöschner, Martin; Tyc, TomáÅ.¡; Čižmár, TomáÅ.¡

    2016-03-01

    Small, fibre-based endoscopes have already improved our ability to image deep within the human body. A novel approach introduced recently utilised disordered light within a standard multimode optical fibre for lensless imaging. Importantly, this approach brought very significant reduction of the instruments footprint to dimensions below 100 μm. The most important limitations of this exciting technology is the lack of bending flexibility - imaging is only possible as long as the fibre remains stationary. The only route to allow flexibility of such endoscopes is in trading-in all the knowledge about the optical system we have, particularly the cylindrical symmetry of refractive index distribution. In perfect straight step-index cylindrical waveguides we can find optical modes that do not change their spatial distribution as they propagate through. In this paper we present a theoretical background that provides description of such modes in more realistic model of real-life step-index multimode fibre taking into account common deviations in distribution of the refractive index from its ideal step-index profile. Separately, we discuss how to include the influence of fibre bending.

  2. Multimodality localization of epileptic foci

    NASA Astrophysics Data System (ADS)

    Desco, Manuel; Pascau, Javier; Pozo, M. A.; Santos, Andres; Reig, Santiago; Gispert, Juan D.; Garcia-Barreno, Pedro

    2001-05-01

    This paper presents a multimodality approach for the localization of epileptic foci using PET, MRI and EEG combined without the need of external markers. Mutual Information algorithm is used for MRI-PET registration. Dipole coordinates (provided by BESA software) are projected onto the MRI using a specifically developed algorithm. The four anatomical references used for electrode positioning (nasion, inion and two preauricular points) are located on the MRI using a triplanar viewer combined with a surface-rendering tool. Geometric transformation using deformation of the ideal sphere used for dipole calculations is then applied to match the patient's brain size and shape. Eight treatment-refractory epileptic patients have been studied. The combination of the anatomical information from the MRI, hipoperfusion areas in PET and dipole position and orientation helped the physician in the diagnosis of epileptic focus location. Neurosurgery was not indicated for patients where PET and dipole results were inconsistent; in two cases it was clinically indicated despite the mismatch, showing a negative follow up. The multimodality approach presented does not require external markers for dipole projection onto the MRI, this being the main difference with previous methods. The proposed method may play an important role in the indication of surgery for treatment- refractory epileptic patients.

  3. Practical multimodal care for cancer cachexia

    PubMed Central

    Maddocks, Matthew; Hopkinson, Jane; Conibear, John; Reeves, Annie; Shaw, Clare; Fearon, Ken C.H.

    2016-01-01

    Purpose of review Cancer cachexia is common and reduces function, treatment tolerability and quality of life. Given its multifaceted pathophysiology a multimodal approach to cachexia management is advocated for, but can be difficult to realise in practice. We use a case-based approach to highlight practical approaches to the multimodal management of cachexia for patients across the cancer trajectory. Recent findings Four cases with lung cancer spanning surgical resection, radical chemoradiotherapy, palliative chemotherapy and no anticancer treatment are presented. We propose multimodal care approaches that incorporate nutritional support, exercise, and anti-inflammatory agents, on a background of personalized oncology care and family-centred education. Collectively, the cases reveal that multimodal care is part of everyone's remit, often focuses on supported self-management, and demands buy-in from the patient and their family. Once operationalized, multimodal care approaches can be tested pragmatically, including alongside emerging pharmacological cachexia treatments. Summary We demonstrate that multimodal care for cancer cachexia can be achieved using simple treatments and without a dedicated team of specialists. The sharing of advice between health professionals can help build collective confidence and expertise, moving towards a position in which every team member feels they can contribute towards multimodal care. PMID:27635765

  4. Multimodality nanotracers for cardiovascular applications.

    PubMed

    Mulder, Willem J M; Cormode, David P; Hak, Sjoerd; Lobatto, Mark E; Silvera, Stephane; Fayad, Zahi A

    2008-08-01

    Targeted imaging and therapeutics is becoming a field of prime importance in the study and treatment of cardiovascular disease; it promises to enable early diagnosis, promote improved understanding of pathology, and offer a way to improve therapeutic efficacy. Agents, particularly for cardiovascular disease, have been reported to permit the in vivo imaging, by multiple modalities, of macrophages, vascular targets such as vascular cell adhesion molecule 1, and markers for angiogenesis such as alpha(v)beta(3) integrin. In this Article, we first discuss the general concept of multimodality nanoparticles and then focus in greater depth on their clinical application for molecular imaging and therapy. Lastly, several examples of cardiovascular applications are discussed, including combined imaging and therapy approaches.

  5. Multimodal MRI of experimental stroke

    PubMed Central

    Duong, Timothy Q

    2014-01-01

    Stroke is the fourth leading cause of death and the leading cause of long-term disability in the United States. Brain imaging data from experimental stroke models and stroke patients have shown that there is often a gradual progression of potentially reversible ischemic injury toward infarction. Reestablishing tissue perfusion and/or treating with neuroprotective drugs in a timely fashion are expected to salvage some ischemic tissues. Diffusion-weighted imaging based on magnetic resonance imaging (MRI) in which contrast is based on water motion can detect ischemic injury within minutes after onsets, whereas computed tomography and other imaging modalities fail to detect stroke injury for at least a few hours. Along with quantitative perfusion imaging, the perfusion-diffusion mismatch which approximates the ischemic penumbra could be imaged non-invasively. This review describes recent progresses in the development and application of multimodal MRI and image analysis techniques to study ischemic tissue at risk in experimental stroke in rats. PMID:24323751

  6. DBSAR's First Multimode Flight Campaign

    NASA Technical Reports Server (NTRS)

    Rincon, Rafael F.; Vega, Manuel; Buenfil, Manuel; Geist, Alessandro; Hilliard, Lawrence; Racette, Paul

    2010-01-01

    The Digital Beamforming SAR (DBSAR) is an airborne imaging radar system that combines phased array technology, reconfigurable on-board processing and waveform generation, and advances in signal processing to enable techniques not possible with conventional SARs. The system exploits the versatility inherently in phased-array technology with a state-of-the-art data acquisition and real-time processor in order to implement multi-mode measurement techniques in a single radar system. Operational modes include scatterometry over multiple antenna beams, Synthetic Aperture Radar (SAR) over several antenna beams, or Altimetry. The radar was flight tested in October 2008 on board of the NASA P3 aircraft over the Delmarva Peninsula, MD. The results from the DBSAR system performance is presented.

  7. Brain Multimodality Monitoring: Updated Perspectives

    PubMed Central

    Roh, David

    2016-01-01

    The challenges posed by acute brain injury (ABI) involve the management of the initial insult in addition to downstream inflammation, edema, and ischemia that can result in secondary brain injury (SBI). SBI is often subclinical, but can be detected through physiologic changes. These changes serve as a surrogate for tissue injury/cell death and are captured by parameters measured by various monitors that measure intracranial pressure (ICP), cerebral blood flow (CBF), brain tissue oxygenation (PbtO2), cerebral metabolism, and electrocortical activity. In the ideal setting, multimodality monitoring (MMM) integrates these neurological monitoring parameters with traditional hemodynamic monitoring and the physical exam, presenting the information needed to clinicians who can intervene before irreversible damage occurs. There are now consensus guidelines on the utilization of MMM, and there continue to be new advances and questions regarding its use. In this review, we examine these recommendations, recent evidence for MMM, and future directions for MMM. PMID:27095434

  8. Multimodal unattended ground sensor (MMUGS)

    NASA Astrophysics Data System (ADS)

    Zong, Lei; Houser, Jeff; Damarla, T. Raju

    2006-05-01

    The U.S. Army Research Laboratory has developed a real-time multi-modal sensor for the purpose of personnel detection in urban terrain. Possible system usage includes force protection and sniper early warning. The sensor system includes a network of MMUGS sensors, a third-party gateway and user interface device. A MMUGS sensor consists of the following functions: sensing, processing, and communication. Each sensor is composed of multiple sensing modalities-acoustic, passive-infrared, and seismic. A MMUGS sensor is designed to be low cost and power efficient. This paper will first present an overview of the sensor architecture and then provide detailed descriptions of sub components. The paper will conclude with a detailed analysis of system performance. This paper is intended to provide details of the design, integration, and implementation of a MMUGS unit, and demonstrate the overall sensor system performance. This paper does not discuss the network aspect of the system and its affect on performance.

  9. Multimodal analgesia and regional anaesthesia.

    PubMed

    Tornero Tornero, C; Fernández Rodríguez, L E; Orduña Valls, J

    2017-03-24

    Multimodal analgesia provides quality analgesia, with fewer side effects due to the use of combined analgesics or analgesic techniques. Regional anaesthesia plays a fundamental role in achieving this goal. The different techniques of regional anaesthesia that include both peripheral and central blocks in either a single dose or in continuous infusion help to modulate the nociceptive stimuli that access the central level. The emergence of the ultrasound as an effective system to perform regional anaesthesia techniques has allowed the development of new regional anaesthesia techniques that formerly could not be carried out since only neurostimulation or skin references were used. It is essential to take into account that even with effective blocking it is advisable to associate other drugs by other routes, in this way we will be able to reduce the required doses individually and attempt to achieve a synergistic, not purely additive, effect.

  10. Multimode waveguide based directional coupler

    NASA Astrophysics Data System (ADS)

    Ahmed, Rajib; Rifat, Ahmmed A.; Sabouri, Aydin; Al-Qattan, Bader; Essa, Khamis; Butt, Haider

    2016-07-01

    The Silicon-on-Insulator (SOI) based platform overcomes limitations of the previous copper and fiber based technologies. Due to its high index difference, SOI waveguide (WG) and directional couplers (DC) are widely used for high speed optical networks and hybrid Electro-Optical inter-connections; TE00-TE01, TE00-TE00 and TM00-TM00 SOI direction couplers are designed with symmetrical and asymmetrical configurations to couple with TE00, TE01 and TM00 in a multi-mode semi-triangular ring-resonator configuration which will be applicable for multi-analyte sensing. Couplers are designed with effective index method and their structural parameters are optimized with consideration to coupler length, wavelength and polarization dependence. Lastly, performance of the couplers are analyzed in terms of cross-talk, mode overlap factor, coupling length and coupling efficiency.

  11. Histology image search using multimodal fusion.

    PubMed

    Caicedo, Juan C; Vanegas, Jorge A; Páez, Fabian; González, Fabio A

    2014-10-01

    This work proposes a histology image indexing strategy based on multimodal representations obtained from the combination of visual features and associated semantic annotations. Both data modalities are complementary information sources for an image retrieval system, since visual features lack explicit semantic information and semantic terms do not usually describe the visual appearance of images. The paper proposes a novel strategy to build a fused image representation using matrix factorization algorithms and data reconstruction principles to generate a set of multimodal features. The methodology can seamlessly recover the multimodal representation of images without semantic annotations, allowing us to index new images using visual features only, and also accepting single example images as queries. Experimental evaluations on three different histology image data sets show that our strategy is a simple, yet effective approach to building multimodal representations for histology image search, and outperforms the response of the popular late fusion approach to combine information.

  12. Multi-mode horn antenna simulation

    NASA Technical Reports Server (NTRS)

    Dod, L. R.; Wolf, J. D.

    1980-01-01

    Radiation patterns were computed for a circular multimode horn antenna using waveguide electric field radiation expressions. The circular multimode horn was considered as a possible reflector feed antenna for the Large Antenna Multifrequency Microwave Radiometer (LAMMR). This horn antenna uses a summation of the TE sub 11 deg and TM sub 11 deg modes to generate far field primary radiation patterns with equal E and H plane beamwidths and low sidelobes. A computer program for the radiation field expressions using the summation of waveguide radiation modes is described. The sensitivity of the multimode horn antenna radiation patterns to phase variations between the two modes is given. Sample radiation pattern calculations for a reflector feed horn for LAMMR are shown. The multimode horn antenna provides a low noise feed suitable for radiometric applications.

  13. Multi-Modal Treatment of Nocturnal Enuresis.

    ERIC Educational Resources Information Center

    Mohr, Caroline; Sharpley, Christopher F.

    1988-01-01

    The article reports a multimodal treatment of nocturnal enuresis and anxious behavior in a mildly mentally retarded woman. Behavioral treatment and removal of caffeine from the subject's diet eliminated both nocturnal enuresis and anxious behavior. (Author/DB)

  14. A quantitative framework for the analysis of multimodal optical microscopy images

    PubMed Central

    Bower, Andrew J.; Chidester, Benjamin; Li, Joanne; Zhao, Youbo; Marjanovic, Marina; Chaney, Eric J.; Do, Minh N.

    2017-01-01

    Background Multimodal optical microscopy, a set of imaging techniques based on unique, yet complementary contrast mechanisms and spatially and temporally co-registered data acquisition, has emerged as a powerful biomedical tool. However, the analysis of the dense, high-dimensional datasets acquired by these instruments remains mostly qualitative and restricted to analysis of each modality individually. Methods Using a custom-built multimodal nonlinear optical microscope, high dimensional datasets were acquired for automated classification of functional cell states as well as identification of histopathological features in tissues slices. Supervised classification of cell death modes was performed through support vector machines (SVM) and semi-supervised classification of tissue slices was performed through the use of the expectation maximization (EM) algorithm. Results Applications of these techniques to the automated classification of cell death modes as well as to the identification of tissue components in fixed ex vivo tissue slices are presented. The analysis techniques developed provide a direct link between multimodal image contrast and biological structure and function, resulting in highly accurate classification in both settings. Conclusions Quantification of multimodal optical microscopy images through statistical modeling of the high dimensional data acquired gives a strong correlation between biological structure and function and image contrast. These methods are sensitive to the identification of diagnostic, cellular-level features important in a variety of clinical settings. PMID:28275557

  15. Robust Multimodal Cognitive Load Measurement II

    DTIC Science & Technology

    2015-06-24

    and GSR values. 15. SUBJECT TERMS Behavioural Science, Cognitive Psychology 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF...Final 3. DATES COVERED (From - To) 26 June 2014 – 25 June 2015 4. TITLE AND SUBTITLE (134144) Robust Multimodal Cognitive Load...research accomplishments out of the Robust Multimodal Cognitive Load Measurement II (RMCLM) project in the past one-year period. The objective of this

  16. Treatment Approaches for Interstitial Cystitis: Multimodality Therapy

    PubMed Central

    Evans, Robert J

    2002-01-01

    Interstitial cystitis is an increasingly common disease characterized by urgency, frequency, and pelvic pain. Its etiology is poorly understood but is likely to be multifactorial. A proposed pathophysiology describing a cascade of events, including epithelial dysfunction, mast cell activation, and neurogenic inflammation, is presented. Using this model, multimodality therapy regimens have been developed that treat all components of this cascade. Multimodality therapy appears more effective than single agents in the treatment of interstitial cystitis. PMID:16986029

  17. Esthesioneuroblastoma: Multimodal management and review of literature

    PubMed Central

    Kumar, Ritesh

    2015-01-01

    Esthesioneuroblastoma (ENB) is a rare malignant neoplasm arising from the olfactory neuroepithelium. ENB constitutes only 3% of all malignant intranasal neoplasm. Because of the rarity, the number of patients of ENB treated in individual departments is small. Most of these patients presents in locally advanced stages and require multimodality treatment in form of surgery, chemotherapy and radiotherapy. Multimodality approach with a risk-adapted strategy is required to achieve good control rates while minimizing treatment related toxicity. PMID:26380824

  18. Rapid prototype modeling in a multimodality world

    NASA Astrophysics Data System (ADS)

    Bidaut, Luc; Madewell, John; Yasko, Alan

    2006-03-01

    Introduction: Rapid prototype modeling (RPM) has been used in medicine principally for bones - that are easily extracted from CT data sets - for planning orthopaedic, plastic or maxillo-facial interventions, and/or for designing custom prostheses and implants. Based on newly available technology, highly valuable multimodality approaches can now be applied to RPM, particularly for complex musculo-skeletal (MSK) tumors where multimodality often transcends CT alone. Methods: CT data sets are acquired for primary evaluation of MSK tumors in parallel with other modalities (e.g., MR, PET, SPECT). In our approach, CT is first segmented to provide bony anatomy for RPM and all other data sets are then registered to the CT reference. Parametric information relevant to the tumor's characterization is then extracted from the multimodality space and merged with the CT anatomy to produce a hybrid RPM-ready model. This model - that also accommodates digital multimodality visualization - is then produced on the latest generation of 3D printers, which permits both shapes and colors. Results: Multimodality models of complex MSK tumors have been physically produced on modern RPM equipment. This new approach has been found to be a clear improvement over the previously disconnected physical RPM and digital multimodality visualization. Conclusions: New technical developments keep opening doors to sophisticated medical applications that can directly impact the quality of patient care. Although this early work still deals with bones as base models for RPM, its use to encompass soft tissues is already envisioned for future approaches.

  19. An innovative multimodal/multispectral image registration method for medical images based on the Expectation-Maximization algorithm.

    PubMed

    Arce-Santana, Edgar; Campos-Delgado, Daniel U; Mejia-Rodriguez, Aldo; Reducindo, Isnardo

    2015-01-01

    In this paper, we present a methodology for multimodal/ multispectral image registration of medical images. This approach is formulated by using the Expectation-Maximization (EM) methodology, such that we estimate the parameters of a geometric transformation that aligns multimodal/multispectral images. In this framework, the hidden random variables are associated to the intensity relations between the studied images, which allow to compare multispectral intensity values between images of different modalities. The methodology is basically composed by an iterative two-step procedure, where at each step, a new estimation of the joint conditional multispectral intensity distribution and the geometric transformation is computed. The proposed algorithm was tested with different kinds of medical images, and the obtained results show that the proposed methodology can be used to efficiently align multimodal/multispectral medical images.

  20. Highly sensitive bending sensor based on multimode-multimode-coreoffset fiber structure

    NASA Astrophysics Data System (ADS)

    Qi, Yanhui; Ma, Lin; Sun, Jiang; Kang, Zexin; Bai, Yunlong; Jian, Shuisheng

    2015-12-01

    In this paper, we present a simple fiber optic bending sensor based on the multimode-multimode structure combining with the core-offset fiber structure. The multimode-multimode structure is composed of no core fiber (NCF) with hundreds of micrometers in length as a micro-lens for mode conversion, and single mode fiber (SMF) which can be seen as a section of special multimode fiber (MMF) when considered the cladding modes. The transmission spectrum in the experiment agrees well with the numerical model. The sensitivity of the structure can be achieved as high as 11.104 nm/m-1 in the measuring range. Meanwhile, the sensitivity of the neighboring resonance wavelength around 1546 nm exhibits approximately the same sensitivity which is 10.579 nm/m-1. Besides, the strain sensitivity is about -0.927 pm/με within the measuring strain range.

  1. Multimodality Instrument for Tissue Characterization

    NASA Technical Reports Server (NTRS)

    Mah, Robert W. (Inventor); Andrews, Russell J. (Inventor)

    2000-01-01

    A system with multimodality instrument for tissue identification includes a computer-controlled motor driven heuristic probe with a multisensory tip is discussed. For neurosurgical applications, the instrument is mounted on a stereotactic frame for the probe to penetrate the brain in a precisely controlled fashion. The resistance of the brain tissue being penetrated is continually monitored by a miniaturized strain gauge attached to the probe tip. Other modality sensors may be mounted near the probe tip to provide real-time tissue characterizations and the ability to detect the proximity of blood vessels, thus eliminating errors normally associated with registration of pre-operative scans, tissue swelling, elastic tissue deformation, human judgement, etc., and rendering surgical procedures safer, more accurate, and efficient. A neural network, program adaptively learns the information on resistance and other characteristic features of normal brain tissue during the surgery and provides near real-time modeling. A fuzzy logic interface to the neural network program incorporates expert medical knowledge in the learning process. Identification of abnormal brain tissue is determined by the detection of change and comparison with previously learned models of abnormal brain tissues. The operation of the instrument is controlled through a user friendly graphical interface. Patient data is presented in a 3D stereographics display. Acoustic feedback of selected information may optionally be provided. Upon detection of the close proximity to blood vessels or abnormal brain tissue, the computer-controlled motor immediately stops probe penetration.

  2. Multimodality Management of Trigeminal Schwannomas.

    PubMed

    Niranjan, Ajay; Barnett, Samuel; Anand, Vijay; Agazzi, Siviero

    2016-08-01

    Patients presenting with trigeminal schwannomas require multimodality management by a skull base surgical team that can offer expertise in both transcranial and transnasal approaches as well as radiosurgical and microsurgical strategies. Improvement in neurologic symptoms, preservation of cranial nerve function, and control of mass effect are the primary goals of management for trigeminal schwannomas. Complete surgical resection is the treatment of choice but may not be possible in all cases. Radiosurgery is an option as primary management for small- to moderate-sized tumors and can be used for postoperative residuals or recurrences. Planned surgical resection followed by SRS for residual tumor is an effective option for larger trigeminal schwannomas. The endoscopic resection is an excellent approach for patients with an extradural tumor or tumors isolated to the Meckel cave. A detailed analysis of a tumor and its surroundings based on high-quality imaging can help better estimate the expected outcome from each treatment. An expert skull base team should be able to provide precise counseling for each patient's situation for selecting the best option.

  3. Multimodal imaging measures predict rearrest

    PubMed Central

    Steele, Vaughn R.; Claus, Eric D.; Aharoni, Eyal; Vincent, Gina M.; Calhoun, Vince D.; Kiehl, Kent A.

    2015-01-01

    Rearrest has been predicted by hemodynamic activity in the anterior cingulate cortex (ACC) during error-processing (Aharoni et al., 2013). Here, we evaluate the predictive power after adding an additional imaging modality in a subsample of 45 incarcerated males from Aharoni et al. (2013). Event-related potentials (ERPs) and hemodynamic activity were collected during a Go/NoGo response inhibition task. Neural measures of error-processing were obtained from the ACC and two ERP components, the error-related negativity (ERN/Ne) and the error positivity (Pe). Measures from the Pe and ACC differentiated individuals who were and were not subsequently rearrested. Cox regression, logistic regression, and support vector machine (SVM) neuroprediction models were calculated. Each of these models proved successful in predicting rearrest and SVM provided the strongest results. Multimodal neuroprediction SVM models with out of sample cross-validating accurately predicted rearrest (83.33%). Offenders with increased Pe amplitude and decreased ACC activation, suggesting abnormal error-processing, were at greatest risk of rearrest. PMID:26283947

  4. Multimodal Behavior Therapy: Case Study of a High School Student.

    ERIC Educational Resources Information Center

    Seligman, Linda

    1981-01-01

    A case study of a high school student concerned with weight problems illustrates multimodal behavior therapy and its use in a high school setting. Multimodal therapy allows the school counselor to maximize referral sources while emphasizing growth and actualization. (JAC)

  5. Multimode siloxane polymer components for optical interconnects

    NASA Astrophysics Data System (ADS)

    Bamiedakis, Nikolaos; Beals, Joseph, IV; Penty, Richard V.; White, Ian H.; DeGroot, Jon v., Jr.; Clapp, Terry V.; De Shazer, David

    2009-02-01

    This paper presents an overview of multimode waveguides and waveguide components formed from siloxane polymer materials which are suitable for use in optical interconnection applications. The components can be cost-effectively integrated onto conventional PCBs and offer increased functionality in optical transmission. The multimode waveguides exhibit low loss (0.04 dB/cm at 850 nm) and low crosstalk (< -30 dB) performance, large alignment tolerances and negligible mode mixing for short waveguide lengths. Error-free data transmission at 10 Gb/s over 1.4 m long waveguides has been successfully demonstrated. Waveguide crossings exhibit very low excess losses, below 0.01 dB/crossing, and excellent crosstalk performance. Low loss is obtained for waveguide bends with radii of curvature larger than 8 mm and 6 mm for 90° and S-shaped bends respectively. High-uniformity splitting is achieved with multimode Y-splitters even in the presence of input misalignments. Y-combiners are shown to benefit from the multimode nature of the waveguides allowing low loss combining (4 dB for an 8×1 device). A large range of power splitting ratios between 30% and 75% is achieved with multimode coupler devices. Examples of system applications benefiting from the use of these components are briefly presented including a terabit capacity optical backplane, a radio-over-fibre multicasting system and a SCM passive optical network.

  6. How Multimodality Works in Mathematical Activity: Young Children Graphing Motion

    ERIC Educational Resources Information Center

    Ferrara, Francesca

    2014-01-01

    This paper aims to contribute to discussions on the multimodal nature of cognition through an elaboration of the ways multimodal aspects of thinking are exploited by learners doing mathematics. Moving beyond the fact "that" multimodality occurs, this paper focuses on "how" it occurs, with particular attention drawn to the…

  7. New Times for Multimodality? Confronting the Accountability Culture

    ERIC Educational Resources Information Center

    Siegel, Marjorie

    2012-01-01

    As new times become hard times, there may be little time for multimodality in school unless educators confront the accountability culture. This commentary reviews the arguments for multimodal transformations of school literacy curricula and explores the potential of reflective talk about multimodal meaning-making as an assessment practice. Talking…

  8. "Filming in Progress": New Spaces for Multimodal Designing

    ERIC Educational Resources Information Center

    Mills, Kathy A.

    2010-01-01

    Global trends call for new research to investigate multimodal designing mediated by new technologies and the implications for classroom spaces. This article addresses the relationship between new technologies, students' multimodal designing, and the social production of classroom spaces. Multimodal semiotics and sociological principles are applied…

  9. [Multimodal pain therapy: principles and indications].

    PubMed

    Arnold, B; Brinkschmidt, T; Casser, H-R; Gralow, I; Irnich, D; Klimczyk, K; Müller, G; Nagel, B; Pfingsten, M; Schiltenwolf, M; Sittl, R; Söllner, W

    2009-04-01

    Multimodal pain therapy describes an integrated multidisciplinary treatment in small groups with a closely coordinated therapeutical approach. Somatic and psychotherapeutic procedures cooperate with physical and psychological training programs. For chronic pain syndromes with complex somatic, psychological and social consequences, a therapeutic intensity of at least 100 hours is recommended. Under these conditions multimodal pain therapy has proven to be more effective than other kinds of treatment. If monodisciplinary and/or outpatient therapies fail, health insurance holders have a legitimate claim to this form of therapy.Medical indications are given for patients with chronic pain syndromes, but also if there is an elevated risk of chronic pain in the early stadium of the disease and aiming at delaying the process of chronification. Relative contraindications are a lack of motivation for behavioural change, severe mental disorders or psychopathologies and addiction problems. The availability of multimodal pain treatment centers in Germany is currently insufficient.

  10. Instrumentation challenges in multi-modality imaging

    NASA Astrophysics Data System (ADS)

    Brasse, D.; Boisson, F.

    2016-02-01

    Based on different physical principles, imaging procedures currently used in both clinical and preclinical applications present different performance that allow researchers to achieve a large number of studies. However, the relevance of obtaining a maximum of information relating to the same subject is undeniable. The last two decades have thus seen the advent of a full-fledged research axis, the multimodal in vivo imaging. Whether from an instrumentation point of view, for medical research or the development of new probes, all these research works illustrate the growing interest of the scientific community for multimodal imaging, which can be approached with different backgrounds and perspectives from engineers to end-users point of views. In the present review, we discuss the multimodal imaging concept, which focuses not only on PET/CT and PET/MRI instrumentation but also on recent investigations of what could become a possible future in the field.

  11. Multimodal imaging of cutaneous wound tissue

    NASA Astrophysics Data System (ADS)

    Zhang, Shiwu; Gnyawali, Surya; Huang, Jiwei; Ren, Wenqi; Gordillo, Gayle; Sen, Chandan K.; Xu, Ronald

    2015-01-01

    Quantitative assessment of wound tissue ischemia, perfusion, and inflammation provides critical information for appropriate detection, staging, and treatment of chronic wounds. However, few methods are available for simultaneous assessment of these tissue parameters in a noninvasive and quantitative fashion. We integrated hyperspectral, laser speckle, and thermographic imaging modalities in a single-experimental setup for multimodal assessment of tissue oxygenation, perfusion, and inflammation characteristics. Algorithms were developed for appropriate coregistration between wound images acquired by different imaging modalities at different times. The multimodal wound imaging system was validated in an occlusion experiment, where oxygenation and perfusion maps of a healthy subject's upper extremity were continuously monitored during a postocclusive reactive hyperemia procedure and compared with standard measurements. The system was also tested in a clinical trial where a wound of three millimeters in diameter was introduced on a healthy subject's lower extremity and the healing process was continuously monitored. Our in vivo experiments demonstrated the clinical feasibility of multimodal cutaneous wound imaging.

  12. An Overview of Multimodal Neuroimaging Using Nanoprobes

    PubMed Central

    Sridhar, Sriram; Mishra, Sachin; Gulyás, Miklós; Padmanabhan, Parasuraman; Gulyás, Balázs

    2017-01-01

    Nanomaterials have gained tremendous significance as contrast agents for both anatomical and functional preclinical bio-imaging. Contrary to conventional medical practices, molecular imaging plays an important role in exploring the affected cells, thus providing precision medical solutions. It has been observed that incorporating nanoprobes improves the overall efficacy of the diagnosis and treatment processes. These nano-agents and tracers are therefore often incorporated into preclinical therapeutic and diagnostic applications. Multimodal imaging approaches are well equipped with nanoprobes to explore neurological disorders, as they can display more than one type of characteristic in molecular imaging. Multimodal imaging systems are explored by researchers as they can provide both anatomical and functional details of tumors and affected tissues. In this review, we present the state-of-the-art research concerning multimodal imaging systems and nanoprobes for neuroimaging applications. PMID:28157157

  13. Video genre classification using multimodal features

    NASA Astrophysics Data System (ADS)

    Jin, Sung Ho; Bae, Tae Meon; Choo, Jin Ho; Ro, Yong Man

    2003-12-01

    We propose a video genre classification method using multimodal features. The proposed method is applied for the preprocessing of automatic video summarization or the retrieval and classification of broadcasting video contents. Through a statistical analysis of low-level and middle-level audio-visual features in video, the proposed method can achieve good performance in classifying several broadcasting genres such as cartoon, drama, music video, news, and sports. In this paper, we adopt MPEG-7 audio-visual descriptors as multimodal features of video contents and evaluate the performance of the classification by feeding the features into a decision tree-based classifier which is trained by CART. The experimental results show that the proposed method can recognize several broadcasting video genres with a high accuracy and the classification performance with multimodal features is superior to the one with unimodal features in the genre classification.

  14. MULTIMODALITY TREATMENT OF PEDIATRIC ESTHESIONEUROBLASTOMA

    PubMed Central

    Venkatramani, Rajkumar; Pan, Hubert; Furman, Wayne L.; Marron, Jonathan M.; Haduong, Josephine; Friedrich-Medina, Paola; Mahajan, Anita; Bavle, Abhishek; Wu, Hao; Chintagumpala, Murali

    2016-01-01

    Background Esthesioneuroblastoma (ENB) is a rare cancer of the nasal cavity in children. Radical surgery followed by post-operative radiation is considered the standard of care in adults. A similar approach in children can lead to significant long-term morbidity. Procedure A retrospective multi-institutional review of patients <21 years of age diagnosed with ENB between 1990 and 2014 was performed. Clinical features, treatment and outcome were obtained from the medical records. Results Twenty-four patients were identified; median age at diagnosis was 14 years (range 0.6 – 20 years). The majority (75%) were female. Headache was the most common presenting symptom, followed by nasal obstruction and epistaxis. Eight patients had Kadish stage B tumors and 16 had Kadish Stage C. Nine patients had metastatic disease. Gross total resection was achieved at diagnosis in eight patients and after neoadjuvant chemotherapy in four patients. Twenty-one patients received radiation therapy (45 Gy – 68.4 Gy). Thirteen patients received neoadjuvant chemotherapy with 84% objective response rate. Seven patients experienced disease progression or relapse; five in central nervous system, one local and one in cervical lymph node. Fifteen patients were alive at last follow-up. The 5-year disease free survival and overall survival were 74% and 73% respectively. Late effects were observed in 78% of long-term survivors. Four patients developed subsequent malignant neoplasms. Conclusions Pediatric ENB is a chemosensitive disease. Pre-operative chemotherapy based multimodal approach should be used in patients with advanced stage disease. Radiation therapy is effective for local control but lower doses should be considered in children. PMID:26514449

  15. Fiber optic multimode displacement sensor

    NASA Astrophysics Data System (ADS)

    Fisher, Karl A.; Jarzynski, Jacek

    1996-04-01

    An underwater Optical Motion Sensor (OMS) based on a design first presented by W. B. Spillman, Schlieren multimode fiber-optic hydrophone, Applied Physics Letters 37(2), 15 July 1980, p. 145-146 is described. The displacement sensor uses the same acoustooptical intensity modulation mechanism as Spillman, however the sensing mechanism is isolated from the ambient fluid environment by a small cylindrical aluminum enclosure (1″ OD×3/4″). The enclosure contains an inertial mass and the fiber collimators. The inertial mass is suspended in the center of the enclosure by three small wires rigidly mounted to the walls. The mass and wires act as a cantilever beam system with a mechanical resonance near 100 Hz. The transduction mechanism consists of two opposed optical gratings aligned and positioned between the fiber collimators. One grating is mounted on the inertial mass while the other is mounted on the lower end cap of the enclosure. Relative motion between the gratings causes a modulation of the light transmitted through the gratings. The modulated beam is focused onto a photodetector and converted to electric current. The frequency response is flat from 200 Hz-9 kHz with a minimum detectable displacement of 0.002 A and the dynamic range is 136 dB. The small size and light weight give the sensor an effective density of 1.08 g/cm3 making it almost neutrally buoyant in water. This in conjunction with the performance characteristics make this sensor suitable for use in acoustical sensing applications.

  16. Multimodality instrument for tissue characterization

    NASA Technical Reports Server (NTRS)

    Mah, Robert W. (Inventor); Andrews, Russell J. (Inventor)

    2004-01-01

    A system with multimodality instrument for tissue identification includes a computer-controlled motor driven heuristic probe with a multisensory tip. For neurosurgical applications, the instrument is mounted on a stereotactic frame for the probe to penetrate the brain in a precisely controlled fashion. The resistance of the brain tissue being penetrated is continually monitored by a miniaturized strain gauge attached to the probe tip. Other modality sensors may be mounted near the probe tip to provide real-time tissue characterizations and the ability to detect the proximity of blood vessels, thus eliminating errors normally associated with registration of pre-operative scans, tissue swelling, elastic tissue deformation, human judgement, etc., and rendering surgical procedures safer, more accurate, and efficient. A neural network program adaptively learns the information on resistance and other characteristic features of normal brain tissue during the surgery and provides near real-time modeling. A fuzzy logic interface to the neural network program incorporates expert medical knowledge in the learning process. Identification of abnormal brain tissue is determined by the detection of change and comparison with previously learned models of abnormal brain tissues. The operation of the instrument is controlled through a user friendly graphical interface. Patient data is presented in a 3D stereographics display. Acoustic feedback of selected information may optionally be provided. Upon detection of the close proximity to blood vessels or abnormal brain tissue, the computer-controlled motor immediately stops probe penetration. The use of this system will make surgical procedures safer, more accurate, and more efficient. Other applications of this system include the detection, prognosis and treatment of breast cancer, prostate cancer, spinal diseases, and use in general exploratory surgery.

  17. Temperature insensitive single-mode-multimode-single-mode fiber optic structures with two multimode fibers in series.

    PubMed

    Tripathi, Saurabh Mani; Kumar, Arun; Kumar, Manoj; Bock, Wojtek J

    2014-06-01

    We propose and demonstrate a temperature insensitive single-mode-multimode-single-mode fiber optic structure consisting of two in-series multimode fibers of appropriate lengths and of opposite temperature sensitivities. A simple approximate expression to estimate the required length ratio of the multimode fiber sections has also been derived whose prediction is found in good agreement with the experiment. The study should be useful in realizing various fiber optic devices based on multimode interference with zero temperature cross sensitivity.

  18. Chemistry of porous coordination polymers having multimodal nanospace and their multimodal functionality.

    PubMed

    Seo, Joobeom; Sakamoto, Hirotoshi; Matsuda, Ryotaro; Kitagawa, Susumu

    2010-01-01

    Remarkable advances in the recent development of porous coordination polymers (PCPs) or metal organic frameworks (MOFs) have paved the way toward functional chemistry having potential application such as molecular storage, separation, and catalysis. Moreover flexible PCPs, which are structurally transformable depending upon guest molecules adsorption/desorption, have received much attention because they provide unique properties, dissimilar to those of zeolites. PCPs can be categorized into structurally monomodal and multimodal classes. Monomodal PCPs possess single uniform pores in the framework. In contrast, multimodal PCPs have more than two types of pores in the framework. Interpenetrated PCPs can possess more than two types of pores with different sizes and shapes in the same framework depending on relative position of individual motifs, resulting in multimodal PCPs. Moreover, interpenetrated PCPs have several advantages, such as high thermal stability, flexibility, and ultramicropore for effective adsorption. In this review, chemistry of PCPs based on monomodal and multimodal PCPs are summarized and discussed.

  19. Connecting multimodality in human communication.

    PubMed

    Regenbogen, Christina; Habel, Ute; Kellermann, Thilo

    2013-01-01

    DCM analysis instead showed a pronounced top-down control. Remarkably, all connections from the dmPFC to the three other regions were modulated by the experimental conditions. This observation is in line with the presumed role of the dmPFC in the allocation of attention. In contrary, all incoming connections to the AG were modulated, indicating its key role in integrating multimodal information and supporting comprehension. Notably, the input from the FFG to the AG was enhanced when facial expressions conveyed emotional information. These findings serve as preliminary results in understanding network dynamics in human emotional communication and empathy.

  20. Connecting multimodality in human communication

    PubMed Central

    Regenbogen, Christina; Habel, Ute; Kellermann, Thilo

    2013-01-01

    DCM analysis instead showed a pronounced top-down control. Remarkably, all connections from the dmPFC to the three other regions were modulated by the experimental conditions. This observation is in line with the presumed role of the dmPFC in the allocation of attention. In contrary, all incoming connections to the AG were modulated, indicating its key role in integrating multimodal information and supporting comprehension. Notably, the input from the FFG to the AG was enhanced when facial expressions conveyed emotional information. These findings serve as preliminary results in understanding network dynamics in human emotional communication and empathy. PMID:24265613

  1. Multimodality image guidance system integrating X-ray fluoroscopy and ultrasound image streams with electromagnetic tracking

    NASA Astrophysics Data System (ADS)

    Gutiérrez, Luis F.; Shechter, Guy; Stanton, Douglas; Dalal, Sandeep; Elgort, Daniel; Manzke, Robert; Chan, Raymond C.; Zagorchev, Lyubomir

    2007-03-01

    This work presents an integrated system for multimodality image guidance of minimally invasive medical procedures. This software and hardware system offers real-time integration and registration of multiple image streams with localization data from navigation systems. All system components communicate over a local area Ethernet network, enabling rapid and flexible deployment configurations. As a representative configuration, we use X-ray fluoroscopy (XF) and ultrasound (US) imaging. The XF imaging system serves as the world coordinate system, with gantry geometry derived from the imaging system, and patient table position tracked with a custom-built measurement device using linear encoders. An electromagnetic (EM) tracking system is registered to the XF space using a custom imaging phantom that is also tracked by the EM system. The RMS fiducial registration error for the EM to X-ray registration was 2.19 mm, and the RMS target registration error measured with an EM-tracked catheter was 8.81 mm. The US image stream is subsequently registered to the XF coordinate system using EM tracking of the probe, following a calibration of the US image within the EM coordinate system. We present qualitative results of the system in operation, demonstrating the integration of live ultrasound imaging spatially registered to X-ray fluoroscopy with catheter localization using electromagnetic tracking.

  2. Reconceptualising Poetry as a Multimodal Genre

    ERIC Educational Resources Information Center

    Newfield, Denise; D'abdon, Raphael

    2015-01-01

    This conceptual article theorises the role of poetry in English classrooms from a multimodal perspective. It discusses the gap between the practices of poetry inside and outside South African schools, particularly where English is taught as an additional language (EAL). The former is shown to be monomodal and prescriptive, while the latter is…

  3. Enriching and Assessing Young Children's Multimodal Storytelling

    ERIC Educational Resources Information Center

    Wessel-Powell, Christy; Kargin, Tolga; Wohlwend, Karen E.

    2016-01-01

    This article provides primary teachers with assessment tools and curricular examples to expand writers' workshop by adding a multimodal storytelling unit on drama and filmmaking, allowing students to create engaging off-the-page stories through films and play performances that enrich writing. Too often, children's literacy abilities are assessed…

  4. Exostosis Bursata – Multimodality Imaging Approach

    PubMed Central

    Sharma, Praveen; Rege, Rujuta; Seena, CR; Rajesh, Saveetha

    2016-01-01

    Osteochondromas or exostosis are common benign bone tumours, commonly arising from the metaphyseal region of long bones (femur, humerus, tibia). Osteochondroma of the scapula are rare and cause mechanical irritation leading to bursal formation. We hereby report a case of 30-year-old man who presented with painful chest wall swelling and its multimodality approach to establish the diagnosis. PMID:27790547

  5. Nanoparticles in Higher-Order Multimodal Imaging

    NASA Astrophysics Data System (ADS)

    Rieffel, James Ki

    Imaging procedures are a cornerstone in our current medical infrastructure. In everything from screening, diagnostics, and treatment, medical imaging is perhaps our greatest tool in evaluating individual health. Recently, there has been tremendous increase in the development of multimodal systems that combine the strengths of complimentary imaging technologies to overcome their independent weaknesses. Clinically, this has manifested in the virtually universal manufacture of combined PET-CT scanners. With this push toward more integrated imaging, new contrast agents with multimodal functionality are needed. Nanoparticle-based systems are ideal candidates based on their unique size, properties, and diversity. In chapter 1, an extensive background on recent multimodal imaging agents capable of enhancing signal or contrast in three or more modalities is presented. Chapter 2 discusses the development and characterization of a nanoparticulate probe with hexamodal imaging functionality. It is my hope that the information contained in this thesis will demonstrate the many benefits of nanoparticles in multimodal imaging, and provide insight into the potential of fully integrated imaging.

  6. Naming Block Structures: A Multimodal Approach

    ERIC Educational Resources Information Center

    Cohen, Lynn; Uhry, Joanna

    2011-01-01

    This study describes symbolic representation in block play in a culturally diverse suburban preschool classroom. Block play is "multimodal" and can allow children to experiment with materials to represent the world in many forms of literacy. Combined qualitative and quantitative data from seventy-seven block structures were collected and analyzed.…

  7. Multimodality, Translingualism, and Rhetorical Genre Studies

    ERIC Educational Resources Information Center

    Gonzales, Laura

    2015-01-01

    This article situates one possible future for rhetorical genre studies (RGS) in the translingual, multimodal composing practices of linguistically diverse composition students. Using focus group data collected with L1 (English as a first language) and L2 (English as a second language) students at two large public state universities, the researcher…

  8. Researching Multimodal Texts: Applying a Dynamic Model.

    ERIC Educational Resources Information Center

    Clancy, Susan; Lowrie, Tom

    The arrival of the digital age requires new approaches to understand the literacies used in making meanings from multimodal communications, and a rethinking of the ways in which research into these areas can be used to support learners in the 21st century. This presentation examines the range of literacies children have developed and used to make…

  9. Cross mode modulation in multimode fibers.

    PubMed

    Kroushkov, Dimitar I; Rademacher, Georg; Petermann, Klaus

    2013-05-15

    We show that Kerr nonlinearity induced intermodal power transfer in a particular mode group of a multimode fiber can be formulated by the same type of equation used to describe the effect of cross polarization modulation in single-mode fibers.

  10. Automatic Rejection Of Multimode Laser Pulses

    NASA Technical Reports Server (NTRS)

    Tratt, David M.; Menzies, Robert T.; Esproles, Carlos

    1991-01-01

    Characteristic modulation detected, enabling rejection of multimode signals. Monitoring circuit senses multiple longitudinal mode oscillation of transversely excited, atmospheric-pressure (TEA) CO2 laser. Facility developed for inclusion into coherent detection laser radar (LIDAR) system. However, circuit described of use in any experiment where desireable to record data only when laser operates in single longitudinal mode.

  11. Imagining the Possibilities in Multimodal Curriculum Design

    ERIC Educational Resources Information Center

    Albers, Peggy

    2006-01-01

    Evolution of the "old page", or written hardcopy texts, to the "new" (Kress, 2003), or electronic page, means that today's learners have experience with reading a variety of texts. Image, music, and electronic inscription (font, style, flash, and so on) are features of multimodal texts that many learners prefer to read and create. With the screen…

  12. Effects of Webcams on Multimodal Interactive Learning

    ERIC Educational Resources Information Center

    Codreanu, Tatiana; Celik, Christelle Combe

    2013-01-01

    This paper describes the multimodal pedagogical communication of two groups of online teachers; trainee tutors (second year students of the Master of Arts in Teaching French as a Foreign Language at the University Lumiere-Lyon 2) and experienced teachers based in different locations (France, Spain and Finland). They all taught French as a Foreign…

  13. Academic Knowledge Construction and Multimodal Curriculum Development

    ERIC Educational Resources Information Center

    Loveless, Douglas J., Ed.; Griffith, Bryant, Ed.; Bérci, Margaret E., Ed.; Ortlieb, Evan, Ed.; Sullivan, Pamela, Ed.

    2014-01-01

    While incorporating digital technologies into the classroom has offered new ways of teaching and learning into educational processes, it is essential to take a look at how the digital shift impacts teachers, school administration, and curriculum development. "Academic Knowledge Construction and Multimodal Curriculum Development" presents…

  14. The Arts, New Literacies, and Multimodality

    ERIC Educational Resources Information Center

    Albers, Peggy; Harste, Jerome C.

    2007-01-01

    The arts, multimodality, and new literacies studies, each with its own distinct principles, together can redefine literacy and what constitutes being literate. To recognize the roles that each of these fields plays in literacy necessitates a cultural shift in reading, interpreting, creating, and responding to a range of multimedia messages. The…

  15. Multimodal Student Interaction Online: An Ecological Perspective

    ERIC Educational Resources Information Center

    Berglund, Therese Ornberg

    2009-01-01

    This article describes the influence of tool and task design on student interaction in language learning at a distance. Interaction in a multimodal desktop video conferencing environment, FlashMeeting, is analyzed from an ecological perspective with two main foci: participation rates and conversational feedback strategies. The quantitative…

  16. Multimodal Neuroimaging Feature Learning with Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease.

    PubMed

    Shi, Jun; Zheng, Xiao; Li, Yan; Zhang, Qi; Ying, Shihui

    2017-01-19

    The accurate diagnosis of Alzheimer's disease (AD) and its early stage, i.e. mild cognitive impairment (MCI), is essential for timely treatment and possible delay of AD. Fusion of multimodal neuroimaging data, such as magnetic resonance imaging (MRI) and positron emission tomography (PET), has shown its effectiveness for AD diagnosis. The deep polynomial networks (DPN) is a recently proposed deep learning algorithm, which performs well on both large-scale and small-size datasets. In this study, a multimodal stacked DPN (MM-SDPN) algorithm, which MM-SDPN consists of two-stage SDPNs, is proposed to fuse and learn feature representation from multimodal neuroimaging data for AD diagnosis. Specifically speaking, two SDPNs are first used to learn high-level features of MRI and PET, respectively, which are then fed to another SDPN to fuse multimodal neuroimaging information. The proposed MM-SDPN algorithm is applied to the ADNI dataset to conduct both binary classification and multiclass classification tasks. Experimental results indicate that MM-SDPN is superior over the state-of-the-art multimodal feature learning based algorithms for AD diagnosis.

  17. Multimodal mechanisms of food creaminess sensation.

    PubMed

    Chen, Jianshe; Eaton, Louise

    2012-12-01

    In this work, the sensory creaminess of a set of four viscosity-matched fluid foods (single cream, evaporated milk, corn starch solution, and corn starch solution containing long chain free fatty acids) was tested by a panel of 16 assessors via controlled sensation mechanisms of smell only, taste only, taste and tactile, and integrated multimodal. It was found that all sensation channels were able to discriminate between creamy and non-creamy foods, but only the multimodal method gave creaminess ratings in agreement with the samples' fat content. Results from this study show that the presence of long chain free fatty acids has no influence on creaminess perception. It is certain that food creaminess is not a primary sensory property but an integrated sensory perception (or sensory experience) derived from combined sensations of visual, olfactory, gustatory, and tactile cues. Creamy colour, milky flavour, and smooth texture are probably the most important sensory features of food creaminess.

  18. A Multimodal Nanocomposite for Biomedical Imaging

    NASA Astrophysics Data System (ADS)

    Wu, A.; Paunesku, T.; Zhang, Z.; Vogt, S.; Lai, B.; Maser, J.; Yaghmai, V.; Li, D.; Omary, R. A.; Woloschak, G. E.

    2011-09-01

    A multimodal nanocomposite was designed, synthesized with super-paramagnetic core (CoFe2O4), noble metal corona (Au), and semiconductor shell (TiO2). The sizes of core, core-corona, and core-corona-shell particles were determined by TEM. This multimodal nanocrystal showed promise as a contrast agent for two of the most widely used biomedical imaging techniques: magnetic resonance imaging (MRI) and x-ray computed tomography (CT). Finally, these nanocomposites were coated with a peptide SN-50. This led to their ready uptake by the cultured cells and targeted the nanocomposites to the pores of nuclear membrane. Inside cells, this nanocomposite retained its integrity as shown by x-ray fluorescence microscopy (XFM). Inside cells imaged by XFM we found the complex elemental signature of nanoconjugates (Ti-Co-Fe-Au) always co-registered in the 2D elemental map of the cell.

  19. Multimode optomechanical system in the quantum regime.

    PubMed

    Nielsen, William Hvidtfelt Padkær; Tsaturyan, Yeghishe; Møller, Christoffer Bo; Polzik, Eugene S; Schliesser, Albert

    2017-01-03

    We realize a simple and robust optomechanical system with a multitude of long-lived (Q > 10(7)) mechanical modes in a phononic-bandgap shielded membrane resonator. An optical mode of a compact Fabry-Perot resonator detects these modes' motion with a measurement rate (96 kHz) that exceeds the mechanical decoherence rates already at moderate cryogenic temperatures (10 K). Reaching this quantum regime entails, inter alia, quantum measurement backaction exceeding thermal forces and thus strong optomechanical quantum correlations. In particular, we observe ponderomotive squeezing of the output light mediated by a multitude of mechanical resonator modes, with quantum noise suppression up to -2.4 dB (-3.6 dB if corrected for detection losses) and bandwidths ≲90 kHz. The multimode nature of the membrane and Fabry-Perot resonators will allow multimode entanglement involving electromagnetic, mechanical, and spin degrees of freedom.

  20. Fock expansion of multimode pure Gaussian states

    SciTech Connect

    Cariolaro, Gianfranco; Pierobon, Gianfranco

    2015-12-15

    The Fock expansion of multimode pure Gaussian states is derived starting from their representation as displaced and squeezed multimode vacuum states. The approach is new and appears to be simpler and more general than previous ones starting from the phase-space representation given by the characteristic or Wigner function. Fock expansion is performed in terms of easily evaluable two-variable Hermite–Kampé de Fériet polynomials. A relatively simple and compact expression for the joint statistical distribution of the photon numbers in the different modes is obtained. In particular, this result enables one to give a simple characterization of separable and entangled states, as shown for two-mode and three-mode Gaussian states.

  1. Multimode optomechanical system in the quantum regime

    NASA Astrophysics Data System (ADS)

    Hvidtfelt Padkær Nielsen, William; Tsaturyan, Yeghishe; Møller, Christoffer Bo; Polzik, Eugene S.; Schliesser, Albert

    2017-01-01

    We realize a simple and robust optomechanical system with a multitude of long-lived (Q > 107) mechanical modes in a phononic-bandgap shielded membrane resonator. An optical mode of a compact Fabry–Perot resonator detects these modes’ motion with a measurement rate (96 kHz) that exceeds the mechanical decoherence rates already at moderate cryogenic temperatures (10 K). Reaching this quantum regime entails, inter alia, quantum measurement backaction exceeding thermal forces and thus strong optomechanical quantum correlations. In particular, we observe ponderomotive squeezing of the output light mediated by a multitude of mechanical resonator modes, with quantum noise suppression up to ‑2.4 dB (‑3.6 dB if corrected for detection losses) and bandwidths ≲90 kHz. The multimode nature of the membrane and Fabry–Perot resonators will allow multimode entanglement involving electromagnetic, mechanical, and spin degrees of freedom.

  2. Comparing Paper and Tangible, Multimodal Tools

    SciTech Connect

    McGee, David R. ); Cohen, Philip R.; Wesson, R M.; Horman, Sheilah

    2002-01-01

    Officers in command posts maintain situational awareness using paper maps, Post-it notes, and hand-written annotations. They do so because paper is robust to failure, it is portable and malleable, it offers ultra-high resolution and supports face-to-face collaboration. We report herein on an evaluation comparing maps and Post-its with a tangible multimodal system called Rasa that augments the paper tools with sensors, enabling it to recognize the multimodal language (both written and spoken) that naturally occurs there. In this study, we found that not only do users prefer Rasa to paper alone, they find it as easy or easier to use than paper tools. Moreover, Rasa introduces no discernible overhead in its operation other than error repair, yet grants the benefits inherent in digital systems. Finally, subjects confirmed that by combining physical and computational tools, Rasa is resistant to computational failure.

  3. A Multimodal Nanocomposite for Biomedical Imaging

    PubMed Central

    Wu, Aiguo; Paunesku, Tatjana; Zhang, Zhuoli; Vogt, Stefan; Lai, Barry; Maser, Jörg; Yaghmai, Vahid; Li, Debiao; Omary, Reed A.; Woloschak, Gayle E.

    2013-01-01

    A multimodal nanocomposite was designed, synthesized with super-paramagnetic core (CoFe2O4), noble metal corona (Au), and semiconductor shell (TiO2). The sizes of core, core-corona, and core-corona-shell particles were determined by TEM. This multimodal nanocrystal showed promise as a contrast agent for two of the most widely used biomedical imaging techniques: magnetic resonance imaging (MRI) and X-ray computed tomography (CT). Finally, these nanocomposites were coated with a peptide SN-50. This led to their ready uptake by the cultured cells and targeted the nanocomposites to the pores of nuclear membrane. Inside cells, this nanocomposite retained its integrity as shown by X-ray fluorescence microscopy (XFM). Inside cells imaged by XFM we found the complex elemental signature of nanoconjugates (Ti-Co-Fe-Au) always co-registered in the 2D elemental map of the cell. PMID:24817775

  4. Multimodality imaging in nanomedicine and nanotheranostics

    PubMed Central

    Li, Xue; Zhang, Xue-Ning; Li, Xiao-Dong; Chang, Jin

    2016-01-01

    Accurate diagnosis of tumors needs much detailed information. However, available single imaging modality cannot provide complete or comprehensive data. Nanomedicine is the application of nanotechnology to medicine, and multimodality imaging based on nanoparticles has been receiving extensive attention. This new hybrid imaging technology could provide complementary information from different imaging modalities using only a single injection of contrast agent. In this review, we introduce recent developments in multifunctional nanoparticles and their biomedical applications to multimodal imaging and theragnosis as nanomedicine. Most of the reviewed studies are based on the intrinsic properties of nanoparticles and their application in clinical imaging technology. The imaging techniques include positron emission tomography, single-photon emission computed tomography, computerized tomography, magnetic resonance imaging, optical imaging, and ultrasound imaging. PMID:27807501

  5. Hierarchical segmentation-assisted multimodal registration for MR brain images.

    PubMed

    Lu, Huanxiang; Beisteiner, Roland; Nolte, Lutz-Peter; Reyes, Mauricio

    2013-04-01

    Information theory-based metric such as mutual information (MI) is widely used as similarity measurement for multimodal registration. Nevertheless, this metric may lead to matching ambiguity for non-rigid registration. Moreover, maximization of MI alone does not necessarily produce an optimal solution. In this paper, we propose a segmentation-assisted similarity metric based on point-wise mutual information (PMI). This similarity metric, termed SPMI, enhances the registration accuracy by considering tissue classification probabilities as prior information, which is generated from an expectation maximization (EM) algorithm. Diffeomorphic demons is then adopted as the registration model and is optimized in a hierarchical framework (H-SPMI) based on different levels of anatomical structure as prior knowledge. The proposed method is evaluated using Brainweb synthetic data and clinical fMRI images. Both qualitative and quantitative assessment were performed as well as a sensitivity analysis to the segmentation error. Compared to the pure intensity-based approaches which only maximize mutual information, we show that the proposed algorithm provides significantly better accuracy on both synthetic and clinical data.

  6. Multimodal Dialog Systems Research at Illinois

    DTIC Science & Technology

    2002-06-05

    Processing sual speech recognition, multimodal user state recog- nition, gesture recognition , face tradding, binaural 2.1 Binaural Hearing hearing, noise...ccurate gesture recognition . ,a’, 03 Dynamic Bayesian Networks 3.1 Lip Reading "The focus of our research in lip reading is a novel ap- proach to the...graphs. Chains in the correspond- ing inference graph are coupled through matrices of 2.4 Gesture Recognition conditional probabilities modeling

  7. Multimodal Sensor Fusion for Personnel Detection

    DTIC Science & Technology

    2011-07-01

    Multimodal Sensor Fusion for Personnel Detection Xin Jin Shalabh Gupta Asok Ray Department of Mechanical Engineering The Pennsylvania State...have con- sidered relations taken only two at a time, but we propose to explore relations between higher order cliques as future work. D. Feature...detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 577–589, 2001. [11] A. Ray , “Symbolic dynamic analysis

  8. Ultrabroadband Dispersive Radiation by Spatiotemporal Oscillation of Multimode Waves.

    PubMed

    Wright, Logan G; Wabnitz, Stefan; Christodoulides, Demetrios N; Wise, Frank W

    2015-11-27

    In nonlinear dynamical systems, qualitatively distinct phenomena occur depending continuously on the size of the bounded domain containing the system. For nonlinear waves, a multimode waveguide is a bounded three-dimensional domain, allowing observation of dynamics impossible in open settings. Here we study radiation emitted by bounded nonlinear waves: the spatiotemporal oscillations of solitons in multimode fiber generate multimode dispersive waves over an ultrabroadband spectral range. This work suggests routes to sources of coherent electromagnetic waves with unprecedented spectral range.

  9. Multimode Strong Coupling in Circuit QED

    NASA Astrophysics Data System (ADS)

    Sundaresan, Neereja; Liu, Yanbing; Sadri, Darius; Szocs, Laszlo; Underwood, Devin; Malekakhlagh, Moein; Tureci, Hakan; Houck, Andrew

    We present experimental and theoretical studies in the multimode strong coupling (MMSC) regime of cavity quantum electrodynamics (QED). In MMSC, a single atom is simultaneously coupled to a large, but discrete, number of cavity harmonics, with atom-mode coupling strengths comparable to the free spectral range (FSR). This regime is readily accessible in circuit QED, by strongly coupling a transmon qubit to a low fundamental frequency microwave cavity. We present some key results from our original experiment (PRX 5, 021035, 2015), in which a transmon qubit, resonant with the 75th harmonic of a 90 MHz cavity, reached qubit-mode coupling strengths exceeding 30MHz. When this system is coherently driven, we observed complex multimode fluorescence, with the notable formation of ultra-narrow linewidths. To better understand these unique features of multimode resonance fluorescence we developed a quantum formalism, which attributes the spectral linewidth narrowing to the correlated spontaneous emission of doubly dressed states. Finally we will share preliminary experimental results from our continuing study of MMSC, this time from a system where qubit-mode coupling strengths approach and even exceed the FSR.

  10. Multimode-Optical-Fiber Imaging Probe

    NASA Technical Reports Server (NTRS)

    Jackson, Deborah

    1999-01-01

    Currently, endoscopic surgery uses single-mode fiber-bundles to obtain in vivo image information inside the orifices of the body. This limits their use to the larger natural orifices and to surgical procedures where there is plenty of room for manipulation. The knee joint, for example, can be easily viewed with a fiber optic viewer, but joints in the finger cannot. However, there are a host of smaller orifices where fiber endoscopy would play an important role if a cost effective fiber probe were developed with small enough dimensions (less than or equal to 250 microns). Examples of beneficiaries of micro-endoscopes are the treatment of the Eustatian tube of the middle ear, the breast ducts, tear ducts, coronary arteries, fallopian tubes, as well as the treatment of salivary duct parotid disease, and the neuro endoscopy of the ventricles and spinal canal. This work describes an approach for recovering images from tightly confined spaces using multimode. The concept draws upon earlier works that concentrated on image recovery after two-way transmission through a multimode fiber as well as work that demonstrated the recovery of images after one-way transmission through a multimode fiber. Both relied on generating a phase conjugated wavefront, which was predistorted with the characteristics of the fiber. The approach described here also relies on generating a phase conjugated wavefront, but utilizes two fibers to capture the image at some intermediate point (accessible by the fibers, but which is otherwise visually inaccessible).

  11. Medical Image Retrieval: A Multimodal Approach

    PubMed Central

    Cao, Yu; Steffey, Shawn; He, Jianbiao; Xiao, Degui; Tao, Cui; Chen, Ping; Müller, Henning

    2014-01-01

    Medical imaging is becoming a vital component of war on cancer. Tremendous amounts of medical image data are captured and recorded in a digital format during cancer care and cancer research. Facing such an unprecedented volume of image data with heterogeneous image modalities, it is necessary to develop effective and efficient content-based medical image retrieval systems for cancer clinical practice and research. While substantial progress has been made in different areas of content-based image retrieval (CBIR) research, direct applications of existing CBIR techniques to the medical images produced unsatisfactory results, because of the unique characteristics of medical images. In this paper, we develop a new multimodal medical image retrieval approach based on the recent advances in the statistical graphic model and deep learning. Specifically, we first investigate a new extended probabilistic Latent Semantic Analysis model to integrate the visual and textual information from medical images to bridge the semantic gap. We then develop a new deep Boltzmann machine-based multimodal learning model to learn the joint density model from multimodal information in order to derive the missing modality. Experimental results with large volume of real-world medical images have shown that our new approach is a promising solution for the next-generation medical imaging indexing and retrieval system. PMID:26309389

  12. Multimodality bonchoscopic imaging of tracheopathica osteochondroplastica

    NASA Astrophysics Data System (ADS)

    Colt, Henri; Murgu, Septimiu D.; Ahn, Yeh-Chan; Brenner, Matt

    2009-05-01

    Results of a commercial optical coherence tomography system used as part of a multimodality diagnostic bronchoscopy platform are presented for a 61-year-old patient with central airway obstruction from tracheopathica osteochondroplastica. Comparison to results of white-light bronchoscopy, histology, and endobronchial ultrasound examination are accompanied by a discussion of resolution, penetration depth, contrast, and field of view of these imaging modalities. White-light bronchoscopy revealed irregularly shaped, firm submucosal nodules along cartilaginous structures of the anterior and lateral walls of the trachea, sparing the muscular posterior membrane. Endobronchial ultrasound showed a hyperechoic density of 0.4 cm thickness. optical coherence tomography (OCT) was performed using a commercially available, compact time-domain OCT system (Niris System, Imalux Corp., Cleveland, Ohio) with a magnetically actuating probe (two-dimensional, front imaging, and inside actuation). Images showed epithelium, upper submucosa, and osseous submucosal nodule layers corresponding with histopathology. To our knowledge, this is the first time these commercially available systems are used as part of a multimodality bronchoscopy platform to study diagnostic imaging of a benign disease causing central airway obstruction. Further studies are needed to optimize these systems for pulmonary applications and to determine how new-generation imaging modalities will be integrated into a multimodality bronchoscopy platform.

  13. Multimodal imaging of cutaneous wound tissue

    PubMed Central

    Zhang, Shiwu; Gnyawali, Surya; Huang, Jiwei; Ren, Wenqi; Gordillo, Gayle; Sen, Chandan K.; Xu, Ronald

    2015-01-01

    Abstract. Quantitative assessment of wound tissue ischemia, perfusion, and inflammation provides critical information for appropriate detection, staging, and treatment of chronic wounds. However, few methods are available for simultaneous assessment of these tissue parameters in a noninvasive and quantitative fashion. We integrated hyperspectral, laser speckle, and thermographic imaging modalities in a single-experimental setup for multimodal assessment of tissue oxygenation, perfusion, and inflammation characteristics. Algorithms were developed for appropriate coregistration between wound images acquired by different imaging modalities at different times. The multimodal wound imaging system was validated in an occlusion experiment, where oxygenation and perfusion maps of a healthy subject’s upper extremity were continuously monitored during a postocclusive reactive hyperemia procedure and compared with standard measurements. The system was also tested in a clinical trial where a wound of three millimeters in diameter was introduced on a healthy subject’s lower extremity and the healing process was continuously monitored. Our in vivo experiments demonstrated the clinical feasibility of multimodal cutaneous wound imaging. PMID:25604545

  14. Multimodal neuroimaging computing: the workflows, methods, and platforms.

    PubMed

    Liu, Sidong; Cai, Weidong; Liu, Siqi; Zhang, Fan; Fulham, Michael; Feng, Dagan; Pujol, Sonia; Kikinis, Ron

    The last two decades have witnessed the explosive growth in the development and use of noninvasive neuroimaging technologies that advance the research on human brain under normal and pathological conditions. Multimodal neuroimaging has become a major driver of current neuroimaging research due to the recognition of the clinical benefits of multimodal data, and the better access to hybrid devices. Multimodal neuroimaging computing is very challenging, and requires sophisticated computing to address the variations in spatiotemporal resolution and merge the biophysical/biochemical information. We review the current workflows and methods for multimodal neuroimaging computing, and also demonstrate how to conduct research using the established neuroimaging computing packages and platforms.

  15. Multimodal neuroimaging computing: the workflows, methods, and platforms.

    PubMed

    Liu, Sidong; Cai, Weidong; Liu, Siqi; Zhang, Fan; Fulham, Michael; Feng, Dagan; Pujol, Sonia; Kikinis, Ron

    2015-09-01

    The last two decades have witnessed the explosive growth in the development and use of noninvasive neuroimaging technologies that advance the research on human brain under normal and pathological conditions. Multimodal neuroimaging has become a major driver of current neuroimaging research due to the recognition of the clinical benefits of multimodal data, and the better access to hybrid devices. Multimodal neuroimaging computing is very challenging, and requires sophisticated computing to address the variations in spatiotemporal resolution and merge the biophysical/biochemical information. We review the current workflows and methods for multimodal neuroimaging computing, and also demonstrate how to conduct research using the established neuroimaging computing packages and platforms.

  16. Multimodal integration of anatomy and physiology classes: How instructors utilize multimodal teaching in their classrooms

    NASA Astrophysics Data System (ADS)

    McGraw, Gerald M., Jr.

    Multimodality is the theory of communication as it applies to social and educational semiotics (making meaning through the use of multiple signs and symbols). The term multimodality describes a communication methodology that includes multiple textual, aural, and visual applications (modes) that are woven together to create what is referred to as an artifact. Multimodal teaching methodology attempts to create a deeper meaning to course content by activating the higher cognitive areas of the student's brain, creating a more sustained retention of the information (Murray, 2009). The introduction of multimodality educational methodologies as a means to more optimally engage students has been documented within educational literature. However, studies analyzing the distribution and penetration into basic sciences, more specifically anatomy and physiology, have not been forthcoming. This study used a quantitative survey design to determine the degree to which instructors integrated multimodality teaching practices into their course curricula. The instrument used for the study was designed by the researcher based on evidence found in the literature and sent to members of three associations/societies for anatomy and physiology instructors: the Human Anatomy and Physiology Society; the iTeach Anatomy & Physiology Collaborate; and the American Physiology Society. Respondents totaled 182 instructor members of two- and four-year, private and public higher learning colleges collected from the three organizations collectively with over 13,500 members in over 925 higher learning institutions nationwide. The study concluded that the expansion of multimodal methodologies into anatomy and physiology classrooms is at the beginning of the process and that there is ample opportunity for expansion. Instructors continue to use lecture as their primary means of interaction with students. Email is still the major form of out-of-class communication for full-time instructors. Instructors with

  17. Multimodal Research: Addressing the Complexity of Multimodal Environments and the Challenges for CALL

    ERIC Educational Resources Information Center

    Tan, Sabine; O'Halloran, Kay L.; Wignell, Peter

    2016-01-01

    Multimodality, the study of the interaction of language with other semiotic resources such as images and sound resources, has significant implications for computer assisted language learning (CALL) with regards to understanding the impact of digital environments on language teaching and learning. In this paper, we explore recent manifestations of…

  18. Using a Multimodal Learning System to Support Music Instruction

    ERIC Educational Resources Information Center

    Yu, Pao-Ta; Lai, Yen-Shou; Tsai, Hung-Hsu; Chang, Yuan-Hou

    2010-01-01

    This paper describes a multimodality approach that helps primary-school students improve their learning performance during music instruction. Multimedia instruction is an effective way to help learners create meaningful knowledge and to make referential connections between mental representations. This paper proposes a multimodal, dual-channel,…

  19. Multimodal Pedagogies in Diverse Classrooms: Representation, Rights and Resources

    ERIC Educational Resources Information Center

    Stein, Pippa

    2012-01-01

    Multimodal Pedagogies in Diverse Classrooms examines how the classroom can become a democratic space founded on the integration of different histories, modes of representation, feelings, languages and discourses, and is essential reading for anyone interested in the connection between multimodality, pedagogy, democracy and social justice in…

  20. Composition at Washington State University: Building a Multimodal Bricolage

    ERIC Educational Resources Information Center

    Ericsson, Patricia; Hunter, Leeann Downing; Macklin, Tialitha Michelle; Edwards, Elizabeth Sue

    2016-01-01

    Multimodal pedagogy is increasingly accepted among composition scholars. However, putting such pedagogy into practice presents significant challenges. In this profile of Washington State University's first-year composition program, we suggest a multi-vocal and multi-theoretical approach to addressing the challenges of multimodal pedagogy. Patricia…

  1. A Multimodal Discourse Analysis of a Yoruba Song-Drama

    ERIC Educational Resources Information Center

    Olateju, Moji. A.

    2015-01-01

    This paper presents a multimodal discourse analysis of a story that has been turned into a Yoruba song-drama, highlighting the ideational, interpersonal and textual aspects of the song-drama. The data is a short song-drama meant to teach children importunity, determination and hard work through persistence. The multimodal and narrative conventions…

  2. Multimodal Teaching and Learning: Creating Spaces for Content Teachers

    ERIC Educational Resources Information Center

    Thompson, Mary

    2008-01-01

    In this article, the author describes her multimodal teaching practices in her "Adolescent Literacy Methods" course at a graduate university in the United States. By doing so, she highlights content teacher's understanding and use of various multimodal texts to effectively teach adolescents inside the classroom. In lieu of this, she raises…

  3. A Multimodal Discourse Analysis of Tmall's Double Eleven Advertisement

    ERIC Educational Resources Information Center

    Hu, Chunyu; Luo, Mengxi

    2016-01-01

    From the 1990s, the multimodal turn in discourse studies makes multimodal discourse analysis a popular topic in linguistics and communication studies. An important approach to applying Systemic Functional Linguistics to non-verbal modes is Visual Grammar initially proposed by Kress and van Leeuwen (1996). Considering that commercial advertisement…

  4. Expanding Perspectives for Comprehending Visual Images in Multimodal Texts

    ERIC Educational Resources Information Center

    Serafini, Frank

    2011-01-01

    The texts that adolescents encounter today are often multimodal, meaning they incorporate a variety of modes, including visual images, hypertext, and graphic design elements along with written text. Expanding the perspectives readers use to make sense of the multimodal texts is an important aspect of comprehension instruction. Moving beyond the…

  5. Teaching Visual Texts with the Multimodal Analysis Software

    ERIC Educational Resources Information Center

    Lim Fei, Victor; O'Halloran, Kay L.; Tan, Sabine; E., Marissa K. L.

    2015-01-01

    This exploratory study introduces the systemic approach and the explicit teaching of a meta-language to provide conceptual tools for students for the analysis and interpretation of multimodal texts. Equipping students with a set of specialised vocabulary with conventionalised meanings associated with specific choices in multimodal texts empowers…

  6. Critical Visual Literacy: Multimodal Communication across the Curriculum

    ERIC Educational Resources Information Center

    Duffelmeyer, Barb Blakely; Ellertson, Anthony

    2005-01-01

    "Critical Visual Literacy: Multimodal Communication Across the Curriculum" makes the case for expanding the pedagogical space and communication possibilities in undergraduate communication-intensive and linked (learning community) courses by allowing students to create multimodal texts that deal with civic and cultural and/or discipline…

  7. Indigenous Ways with Literacies: Transgenerational, Multimodal, Placed, and Collective

    ERIC Educational Resources Information Center

    Mills, Kathy A.; Davis-Warra, John; Sewell, Marlene; Anderson, Mikayla

    2016-01-01

    This research describes some of the salient features of Indigenous ways of working with multimodal literacies in digital contexts of use that emerged within an Indigenous school community with the oversight of Aboriginal Elders. This is significant because the use of multimodal literacy practices among a growing number of Indigenous school…

  8. Level up with Multimodal Composition in Social Studies

    ERIC Educational Resources Information Center

    Dalton, Bridget

    2015-01-01

    Students find multimodal composing highly engaging. Even with students' investment in designing multimodal texts, the teaching process is complex. The purpose for writing, audience, and genre must be considered in relation to the modes, digital authoring and presentation tools, and technology devices that are available to the composer. This…

  9. The Effects of Multimodality through Storytelling Using Various Movie Clips

    ERIC Educational Resources Information Center

    Kim, SoHee

    2016-01-01

    This study examines the salient multimodal approaches for communicative competence and learners' reactions through storytelling tasks with three different modes: a silent movie clip, a movie clip with only sound effects, and a movie clip with sound effects and dialogue. In order to measure different multimodal effects and to define better delivery…

  10. Instantiation of Multimodal Semiotic Systems in Science Classroom Discourse

    ERIC Educational Resources Information Center

    Tang, Kok-Sing

    2013-01-01

    Science classroom discourse is inherently multimodal in that scientific meanings are made through an integration of multiple semiotic systems (e.g., language, diagrams, equations). Although some studies have described this multimodal nature, few have examined and explained the relationship between the integration of multiple semiotic systems and…

  11. Fracturing Writing Spaces: Multimodal Storytelling Ignites Process Writing

    ERIC Educational Resources Information Center

    Lenters, Kimberly; Winters, Kari-Lynn

    2013-01-01

    In this paper, we explore the affordances of literature-based, arts-infused and digital media processes for students, as multimodal practices take centre stage in an English Language Arts unit on fractured fairy tales. The study takes up the challenge of addressing multimodal literacy instruction and research in ways that utilize a range of…

  12. New developments in multimodal clinical multiphoton tomography

    NASA Astrophysics Data System (ADS)

    König, Karsten

    2011-03-01

    80 years ago, the PhD student Maria Goeppert predicted in her thesis in Goettingen, Germany, two-photon effects. It took 30 years to prove her theory, and another three decades to realize the first two-photon microscope. With the beginning of this millennium, first clinical multiphoton tomographs started operation in research institutions, hospitals, and in the cosmetic industry. The multiphoton tomograph MPTflexTM with its miniaturized flexible scan head became the Prism-Award 2010 winner in the category Life Sciences. Multiphoton tomographs with its superior submicron spatial resolution can be upgraded to 5D imaging tools by adding spectral time-correlated single photon counting units. Furthermore, multimodal hybrid tomographs provide chemical fingerprinting and fast wide-field imaging. The world's first clinical CARS studies have been performed with a hybrid multimodal multiphoton tomograph in spring 2010. In particular, nonfluorescent lipids and water as well as mitochondrial fluorescent NAD(P)H, fluorescent elastin, keratin, and melanin as well as SHG-active collagen have been imaged in patients with dermatological disorders. Further multimodal approaches include the combination of multiphoton tomographs with low-resolution imaging tools such as ultrasound, optoacoustic, OCT, and dermoscopy systems. Multiphoton tomographs are currently employed in Australia, Japan, the US, and in several European countries for early diagnosis of skin cancer (malignant melanoma), optimization of treatment strategies (wound healing, dermatitis), and cosmetic research including long-term biosafety tests of ZnO sunscreen nanoparticles and the measurement of the stimulated biosynthesis of collagen by anti-ageing products.

  13. Multimode-Optical-Fiber Imaging Probe

    NASA Technical Reports Server (NTRS)

    Jackson, Deborah

    2000-01-01

    Currently, endoscopic surgery uses single-mode fiber-bundles to obtain in vivo image information inside orifices of the body. This limits their use to the larger natural bodily orifices and to surgical procedures where there is plenty of room for manipulation. The knee joint, for example can be easily viewed with a fiber optic viewer, but joints in the finger cannot. However, there are a host of smaller orifices where fiber endoscopy would play an important role if a cost effective fiber probe were developed with small enough dimensions (< 250 microns). Examples of beneficiaries of micro-endoscopes are the treatment of the Eustatian tube of the middle ear, the breast ducts, tear ducts, coronary arteries, fallopian tubes, as well as the treatment of salivary duct parotid disease, and the neuro endoscopy of the ventricles and spinal canal. To solve this problem, this work describes an approach for recovering images from. tightly confined spaces using multimode fibers and analytically demonstrates that the concept is sound. The proof of concept draws upon earlier works that concentrated on image recovery after two-way transmission through a multimode fiber as well as work that demonstrated the recovery of images after one-way transmission through a multimode fiber. Both relied on generating a phase conjugated wavefront which was predistorted with the characteristics of the fiber. The described approach also relies on generating a phase conjugated wavefront, but utilizes two fibers to capture the image at some intermediate point (accessible by the fibers, but which is otherwise visually unaccessible).

  14. The Role of Multimodal Analgesia in Spine Surgery.

    PubMed

    Kurd, Mark F; Kreitz, Tyler; Schroeder, Gregory; Vaccaro, Alexander R

    2017-04-01

    Optimal postoperative pain control allows for faster recovery, reduced complications, and improved patient satisfaction. Historically, pain management after spine surgery relied heavily on opioid medications. Multimodal regimens were developed to reduce opioid consumption and associated adverse effects. Multimodal approaches used in orthopaedic surgery of the lower extremity, especially joint arthroplasty, have been well described and studies have shown reduced opioid consumption, improved pain and function, and decreased length of stay. A growing body of evidence supports multimodal analgesia in spine surgery. Methods include the use of preemptive analgesia, NSAIDs, the neuromodulatory agents gabapentin and pregabalin, acetaminophen, and extended-action local anesthesia. The development of a standard approach to multimodal analgesia in spine surgery requires extensive assessment of the literature. Because a substantial number of spine surgeries are performed annually, a standardized approach to multimodal analgesia may provide considerable benefits, particularly in the context of the increased emphasis on accountability within the healthcare system.

  15. Multimode vibrational couplings in resonant positron annihilation.

    PubMed

    d'A Sanchez, Sergio; Lima, Marco A P; Varella, Márcio T do N

    2011-09-02

    The mechanisms for multimode vibrational couplings in resonant positron annihilation are not well understood. We show that these resonances can arise from positron-induced distortions of the potential energy surface (target response to the positron field). Though these distortions can transfer energy into single- and multiquantum vibrations, they have so far been disregarded as a pathway to resonant annihilation. We also compare the existing annihilation theories and show that the currently accepted model can be cast as a special case of the Feshbach annihilation theory.

  16. Invariant measures on multimode quantum Gaussian states

    SciTech Connect

    Lupo, C.; Mancini, S.; De Pasquale, A.; Facchi, P.; Florio, G.; Pascazio, S.

    2012-12-15

    We derive the invariant measure on the manifold of multimode quantum Gaussian states, induced by the Haar measure on the group of Gaussian unitary transformations. To this end, by introducing a bipartition of the system in two disjoint subsystems, we use a parameterization highlighting the role of nonlocal degrees of freedom-the symplectic eigenvalues-which characterize quantum entanglement across the given bipartition. A finite measure is then obtained by imposing a physically motivated energy constraint. By averaging over the local degrees of freedom we finally derive the invariant distribution of the symplectic eigenvalues in some cases of particular interest for applications in quantum optics and quantum information.

  17. Multimode fiber optic wavelength division multiplexing

    NASA Technical Reports Server (NTRS)

    Spencer, J. L.

    1982-01-01

    Optical wavelength division multiplexing (WDM) systems, with signals transmitted on different wavelengths through a single optical fiber, can have increased bandwidth and fault isolation properties over single wavelength optical systems. Two WDM system designs that might be used with multimode fibers are considered and a general description of the components which could be used to implement the system are given. The components described are sources, multiplexers, demultiplexers, and detectors. Emphasis is given to the demultiplexer technique which is the major developmental component in the WDM system.

  18. Multimodal Hallucinations in Schizophrenia and Its Management

    PubMed Central

    Kumar, Vijaya; Bagewadi, Virupakshappa; Sagar, Dayanand; Varambally, Shivarama

    2017-01-01

    A cluster of symptoms including hallucinations characterizes schizophrenia. Hallucinations that occur in more than one modality simultaneously and emanate from a single source are called multimodal hallucinations (MMHs). The occurrence of simultaneous hallucinations as the major manifestations of a psychiatric disorder often was dismissed as factitious disorder or malingering. Conversely, MMHs have been reported in severe mental disorders including schizophrenia. Here, we report MMH in two patients of treatment-resistant schizophrenia and its successful management with clozapine. The significance of MMH on the course, prognosis, and treatment resistance of schizophrenia needs to be elucidated. Further systematic research is needed to address these issues. PMID:28250565

  19. Coupled spatial multimode solitons in microcavity wires

    NASA Astrophysics Data System (ADS)

    Slavcheva, G.; Gorbach, A. V.; Pimenov, A.

    2016-12-01

    A modal expansion approach is developed and employed to investigate and elucidate the nonlinear mechanism behind the multistability and formation of coupled multimode polariton solitons in microcavity wires. With pump switched on and realistic dissipation parameters, truncating the expansion up to the second-order wire mode, our model predicts two distinct coupled soliton branches: stable and unstable. Modulational stability of the stationary homogeneous solution and soliton branches stability are studied. Our simplified 1D model is in remarkably good agreement with the full 2D mean-field Gross-Pitaevskii model, reproducing correctly the soliton existence domain upon variation of pump amplitude and the onset of multistability.

  20. Invariant measures on multimode quantum Gaussian states

    NASA Astrophysics Data System (ADS)

    Lupo, C.; Mancini, S.; De Pasquale, A.; Facchi, P.; Florio, G.; Pascazio, S.

    2012-12-01

    We derive the invariant measure on the manifold of multimode quantum Gaussian states, induced by the Haar measure on the group of Gaussian unitary transformations. To this end, by introducing a bipartition of the system in two disjoint subsystems, we use a parameterization highlighting the role of nonlocal degrees of freedom—the symplectic eigenvalues—which characterize quantum entanglement across the given bipartition. A finite measure is then obtained by imposing a physically motivated energy constraint. By averaging over the local degrees of freedom we finally derive the invariant distribution of the symplectic eigenvalues in some cases of particular interest for applications in quantum optics and quantum information.

  1. Multimodality imaging for resuscitated sudden cardiac death.

    PubMed

    Chen, Yingming Amy; Deva, Djeven; Kirpalani, Anish; Prabhudesai, Vikram; Marcuzzi, Danny W; Graham, John J; Verma, Subodh; Jimenez-Juan, Laura; Yan, Andrew T

    2015-01-01

    We present a case that elegantly illustrates the utility of two novel noninvasive imaging techniques, computed tomography (CT) coronary angiography and cardiac MRI, in the diagnosis and management of a 27-year-old man with exertion-induced cardiac arrest caused by an anomalous right coronary artery. CT coronary angiography with 3D reformatting delineated the interarterial course of an anomalous right coronary artery compressed between the aorta and pulmonary artery, whereas cardiac MRI showed a small myocardial infarction in the right coronary artery territory not detected on echocardiography. This case highlights the value of novel multimodality imaging techniques in the risk stratification and management of patients with resuscitated cardiac arrest.

  2. A multimodal behavioral approach to performance anxiety.

    PubMed

    Lazarus, Arnold A; Abramovitz, Arnold

    2004-08-01

    Cognitive-behavior therapy (CBT) stresses a trimodal assessment framework (affect, behavior, and cognition [ABC]), whereas the multimodal approach assesses seven discrete but interactive components--behavior, affect, sensation, imagery, cognition, interpersonal relationships, and drugs/biological factors (BASIC I.D.). Only complex or recalcitrant cases call for the entire seven-pronged range of multimodal interventions. Various case illustrations are offered as examples of how a clinician might proceed when confronted with problems that fall under the general heading of performance anxiety. The main example is of a violinist in a symphony orchestra whose career was in serious jeopardy because of his extreme fear of performing in public. He responded very well to a focused but elaborate desensitization procedure. The hierarchy that was eventually constructed contained many dimensions and subhierarchies featuring interlocking elements that evoked his anxiety. In addition to imaginal systematic desensitization, sessions were devoted to his actual performance in the clinical setting. As a homework assignment, he found it helpful to listen to a long-playing record of an actual rehearsal and to play along with the world-renowned orchestra and conductor. The subsequent disclosure by the client of an important sexual problem was dealt with concomitantly by using a fairly conventional counseling procedure. Therapy required 20 sessions over a 3-month period.

  3. Anatomy and efficiency of urban multimodal mobility

    PubMed Central

    Gallotti, Riccardo; Barthelemy, Marc

    2014-01-01

    The growth of transportation networks and their increasing interconnections, although positive, has the downside effect of an increasing complexity which make them difficult to use, to assess, and limits their efficiency. On average in the UK, 23% of travel time is lost in connections for trips with more than one mode, and the lack of synchronization decreases very slowly with population size. This lack of synchronization between modes induces differences between the theoretical quickest trip and the ‘time-respecting' path, which takes into account waiting times at interconnection nodes. We analyse here the statistics of these paths on the multilayer, temporal network of the entire, multimodal british public transportation system. We propose a statistical decomposition – the ‘anatomy' – of trips in urban areas, in terms of riding, waiting and walking times, and which shows how the temporal structure of trips varies with distance and allows us to compare different cities. Weaknesses in systems can be either insufficient transportation speed or service frequency, but the key parameter controlling their global efficiency is the total number of stop events per hour for all modes. This analysis suggests the need for better optimization strategies, adapted to short, long unimodal or multimodal trips. PMID:25371238

  4. Multimodal communication by captive chimpanzees (Pan troglodytes)

    PubMed Central

    Russell, Jamie L.; Hopkins, William D.

    2009-01-01

    Many studies have shown that apes and monkeys are adept at cross-modal matching tasks requiring the subject to identify objects in one modality when information regarding those objects has been presented in a different modality. However, much less is known about non-human primates’ production of multimodal signaling in communicative contexts. Here, we present evidence from a study of 110 chimpanzees demonstrating that they select the modality of communication in accordance with variations in the attentional focus of a human interactant, which is consistent with previous research. In each trial, we presented desirable food to one of two chimpanzees, turning mid-way through the trial from facing one chimpanzee to facing the other chimpanzee, and documented their communicative displays, as the experimenter turned towards or away from the subjects. These chimpanzees varied their signals within a context-appropriate modality, displaying a range of different visual signals when a human experimenter was facing them and a range of different auditory or tactile (attention-getting) signals when the human was facing away from them; this finding extends previous research on multimodal signaling in this species. Thus, in the impoverished circumstances characteristic of captivity, complex signaling tactics are nevertheless exhibited by chimpanzees, suggesting continuity in intersubjective psychological processes in humans and apes. PMID:19504272

  5. Multimodal approach to seismic pavement testing

    USGS Publications Warehouse

    Ryden, N.; Park, C.B.; Ulriksen, P.; Miller, R.D.

    2004-01-01

    A multimodal approach to nondestructive seismic pavement testing is described. The presented approach is based on multichannel analysis of all types of seismic waves propagating along the surface of the pavement. The multichannel data acquisition method is replaced by multichannel simulation with one receiver. This method uses only one accelerometer-receiver and a light hammer-source, to generate a synthetic receiver array. This data acquisition technique is made possible through careful triggering of the source and results in such simplification of the technique that it is made generally available. Multiple dispersion curves are automatically and objectively extracted using the multichannel analysis of surface waves processing scheme, which is described. Resulting dispersion curves in the high frequency range match with theoretical Lamb waves in a free plate. At lower frequencies there are several branches of dispersion curves corresponding to the lower layers of different stiffness in the pavement system. The observed behavior of multimodal dispersion curves is in agreement with theory, which has been validated through both numerical modeling and the transfer matrix method, by solving for complex wave numbers. ?? ASCE / JUNE 2004.

  6. A Multimodal Theory of Affect Diffusion.

    PubMed

    Peters, Kim; Kashima, Yoshihisa

    2015-09-01

    There is broad consensus in the literature that affect diffuses through social networks (such that a person may "acquire" or "catch" an affective state from his or her social contacts). It is further assumed that affect diffusion primarily occurs as the result of people's tendencies to synchronize their affective actions (such as smiles and frowns). However, as we show, there is a lack of clarity in the literature about the substrate and scope of affect diffusion. One consequence of this is a difficulty in distinguishing between affect diffusion and several other affective influence phenomena that look similar but have very different consequences. There is also a growing body of evidence that action synchrony is unlikely to be the only, or indeed the most important, pathway for affect diffusion. This paper has 2 key aims: (a) to craft a formal definition of affect diffusion that does justice to the core of the phenomenon while distinguishing it from other phenomena with which it is frequently confounded and (b) to advance a theory of the mechanisms of affect diffusion. This theory, which we call the multimodal theory of affect diffusion, identifies 3 parallel multimodal mechanisms that may act as routes for affect diffusion. It also provides a basis for novel predictions about the conditions under which affect is most likely to diffuse.

  7. Quantitative multi-modal NDT data analysis

    SciTech Connect

    Heideklang, René; Shokouhi, Parisa

    2014-02-18

    A single NDT technique is often not adequate to provide assessments about the integrity of test objects with the required coverage or accuracy. In such situations, it is often resorted to multi-modal testing, where complementary and overlapping information from different NDT techniques are combined for a more comprehensive evaluation. Multi-modal material and defect characterization is an interesting task which involves several diverse fields of research, including signal and image processing, statistics and data mining. The fusion of different modalities may improve quantitative nondestructive evaluation by effectively exploiting the augmented set of multi-sensor information about the material. It is the redundant information in particular, whose quantification is expected to lead to increased reliability and robustness of the inspection results. There are different systematic approaches to data fusion, each with its specific advantages and drawbacks. In our contribution, these will be discussed in the context of nondestructive materials testing. A practical study adopting a high-level scheme for the fusion of Eddy Current, GMR and Thermography measurements on a reference metallic specimen with built-in grooves will be presented. Results show that fusion is able to outperform the best single sensor regarding detection specificity, while retaining the same level of sensitivity.

  8. Multimodal EEG Recordings, Psychometrics and Behavioural Analysis.

    PubMed

    Boeijinga, Peter H

    2015-01-01

    High spatial and temporal resolution measurements of neuronal activity are preferably combined. In an overview on how this approach can take shape, multimodal electroencephalography (EEG) is treated in 2 main parts: by experiments without a task and in the experimentally cued working brain. It concentrates first on the alpha rhythm properties and next on data-driven search for patterns such as the default mode network. The high-resolution volumic distributions of neuronal metabolic indices result in distributed cortical regions and possibly relate to numerous nuclei, observable in a non-invasive manner in the central nervous system of humans. The second part deals with paradigms in which nowadays assessment of target-related networks can align level-dependent blood oxygenation, electrical responses and behaviour, taking the temporal resolution advantages of event-related potentials. Evidence-based electrical propagation in serial tasks during performance is now to a large extent attributed to interconnected pathways, particularly chronometry-dependent ones, throughout a chain including a dorsal stream, next ventral cortical areas taking the flow of information towards inferior temporal domains. The influence of aging is documented, and results of the first multimodal studies in neuropharmacology are consistent. Finally a scope on implementation of advanced clinical applications and personalized marker strategies in neuropsychiatry is indicated.

  9. Multimodal brain monitoring in fulminant hepatic failure

    PubMed Central

    Paschoal Jr, Fernando Mendes; Nogueira, Ricardo Carvalho; Ronconi, Karla De Almeida Lins; de Lima Oliveira, Marcelo; Teixeira, Manoel Jacobsen; Bor-Seng-Shu, Edson

    2016-01-01

    Acute liver failure, also known as fulminant hepatic failure (FHF), embraces a spectrum of clinical entities characterized by acute liver injury, severe hepatocellular dysfunction, and hepatic encephalopathy. Cerebral edema and intracranial hypertension are common causes of mortality in patients with FHF. The management of patients who present acute liver failure starts with determining the cause and an initial evaluation of prognosis. Regardless of whether or not patients are listed for liver transplantation, they should still be monitored for recovery, death, or transplantation. In the past, neuromonitoring was restricted to serial clinical neurologic examination and, in some cases, intracranial pressure monitoring. Over the years, this monitoring has proven insufficient, as brain abnormalities were detected at late and irreversible stages. The need for real-time monitoring of brain functions to favor prompt treatment and avert irreversible brain injuries led to the concepts of multimodal monitoring and neurophysiological decision support. New monitoring techniques, such as brain tissue oxygen tension, continuous electroencephalogram, transcranial Doppler, and cerebral microdialysis, have been developed. These techniques enable early diagnosis of brain hemodynamic, electrical, and biochemical changes, allow brain anatomical and physiological monitoring-guided therapy, and have improved patient survival rates. The purpose of this review is to discuss the multimodality methods available for monitoring patients with FHF in the neurocritical care setting. PMID:27574545

  10. Multimodal oscillations in systems with strong contraction

    NASA Astrophysics Data System (ADS)

    Medvedev, Georgi; Yoo, Yun

    2007-04-01

    One- and two-parameter families of flows in R3 near an Andronov-Hopf bifurcation (AHB) are investigated in this work. We identify conditions on the global vector field, which yield a rich family of multimodal orbits passing close to a weakly unstable saddle-focus and perform a detailed asymptotic analysis of the trajectories in the vicinity of the saddle-focus. Our analysis covers both cases of sub- and supercritical AHB. For the supercritical case, we find that the periodic orbits born from the AHB are bimodal when viewed in the frame of coordinates generated by the linearization about the bifurcating equilibrium. If the AHB is subcritical, it is accompanied by the appearance of multimodal orbits, which consist of long series of nearly harmonic oscillations separated by large amplitude spikes. We analyze the dependence of the interspike intervals (which can be extremely long) on the control parameters. In particular, we show that the interspike intervals grow logarithmically as the boundary between regions of sub- and supercritical AHB is approached in the parameter space. We also identify a window of complex and possibly chaotic oscillations near the boundary between the regions of sub- and supercritical AHB and explain the mechanism generating these oscillations. This work is motivated by the numerical results for a finite-dimensional approximation of a free boundary problem modeling solid fuel combustion.

  11. Design and installation of a multimode microscopy system

    NASA Astrophysics Data System (ADS)

    Helm, Johannes P.; Haug, Finn-Mogens S.; Storm, Johan F.; Ottersen, Ole-Petter

    2001-04-01

    We describe design and installation of a multi-mode microscopy core facility in an environment of varied research activity in life-sciences. The experimentators can select any combination of a) microscopes (upright, upright fixed-stage, inverted), b) microscopy modes (widefield, DIC, IRDIC, widefield epifluorescence, transmission LSM, reflection and fluorescence CLSM, MPLSM), c) imaging techniques (direct observation, video observation, photography, quantitative camera-recording, flying spot scanning), d) auxiliary systems (equipment for live specimen imaging, electrophysiology, time-coordinated laser-scanning and electrophysiology, patch-clamp). The equipment is installed on one large vibration-isolating optical table (3m X 1.5m X 0.3m). Electronics, auxiliary equipment, and a fiber-coupled, remotely controlled Ar+-Kr+ laser are mounted in a rack system fixed to the ceiling. The design of the shelves allows the head of the CSLM to be moved to any of the microscopes without increasing critical cable lengths. At the same time easy access to all the units is preserved. The beam of a Titanium-Sapphire laser, controlled by means of an EOM and a prism GVD, is coupled directly to the microscopes. Three mirrors mounted on a single precision translation table are integrated into the beam steering system so that the beam can easily be redirected to any of the microscopes. All the available instruments can be operated by the educated and trained user. The system is popular among researchers in neuroanatomy, embryology, cell biology, molecular biology - including the study of protein interactions, e.g. by means of FRET, and electrophysiology. Its colocalization with an EM facility promises to provide considerable synergy effects.

  12. Performance evaluation of similarity measures for dense multimodal stereovision

    NASA Astrophysics Data System (ADS)

    Yaman, Mustafa; Kalkan, Sinan

    2016-05-01

    Multimodal imaging systems have recently been drawing attention in fields such as medical imaging, remote sensing, and video surveillance systems. In such systems, estimating depth has become possible due to the promising progress of multimodal matching techniques. We perform a systematic performance evaluation of similarity measures frequently used in the literature for dense multimodal stereovision. The evaluated measures include mutual information (MI), sum of squared distances, normalized cross-correlation, census transform, local self-similarity (LSS) as well as descriptors adopted to multimodal settings, like scale invariant feature transform (SIFT), speeded-up robust features (SURF), histogram of oriented gradients (HOG), binary robust independent elementary features, and fast retina keypoint (FREAK). We evaluate the measures over datasets we generated, compiled, and provided as a benchmark and compare the performances using the Winner Takes All method. The datasets are (1) synthetically modified four popular pairs from the Middlebury Stereo Dataset (namely, Tsukuba, Venus, Cones, and Teddy) and (2) our own multimodal image pairs acquired using the infrared and the electro-optical cameras of a Kinect device. The results show that MI and HOG provide promising results for multimodal imagery, and FREAK, SURF, SIFT, and LSS can be considered as alternatives depending on the multimodality level and the computational complexity requirements of the intended application.

  13. Towards an intelligent framework for multimodal affective data analysis.

    PubMed

    Poria, Soujanya; Cambria, Erik; Hussain, Amir; Huang, Guang-Bin

    2015-03-01

    An increasingly large amount of multimodal content is posted on social media websites such as YouTube and Facebook everyday. In order to cope with the growth of such so much multimodal data, there is an urgent need to develop an intelligent multi-modal analysis framework that can effectively extract information from multiple modalities. In this paper, we propose a novel multimodal information extraction agent, which infers and aggregates the semantic and affective information associated with user-generated multimodal data in contexts such as e-learning, e-health, automatic video content tagging and human-computer interaction. In particular, the developed intelligent agent adopts an ensemble feature extraction approach by exploiting the joint use of tri-modal (text, audio and video) features to enhance the multimodal information extraction process. In preliminary experiments using the eNTERFACE dataset, our proposed multi-modal system is shown to achieve an accuracy of 87.95%, outperforming the best state-of-the-art system by more than 10%, or in relative terms, a 56% reduction in error rate.

  14. Magnetic field sensing based on magnetic-fluid-clad multimode-singlemode-multimode fiber structures.

    PubMed

    Tang, Jiali; Pu, Shengli; Dong, Shaohua; Luo, Longfeng

    2014-10-14

    Magnetic field sensing based on magnetic-fluid-clad multimode-singlemode- multimode fiber structures is proposed and experimentalized. The structures are fabricated out using fiber fusion splicing techniques. The sensing principle is based on the interference between the core mode and cladding modes. Two interference dips are observed in our spectral range. Experimental results indicate that the magnetic field sensing sensitivities of 215 pm/mT and 0.5742 dB/mT are obtained for interference dip around 1595 nm. For interference dip around 1565 nm, the sensitivities are 60.5 pm/mT and 0.4821 dB/mT. The response of temperature is also investigated. The temperature sensitivity for the dip around 1595 nm is obtained to be 9.93 pm/°C.

  15. Fano resonances in prism-coupled multimode square micropillar resonators

    NASA Astrophysics Data System (ADS)

    Lee, Ho-Tong; Zhou, Linjie; Poon, Andrew W.

    2005-06-01

    We report Fano resonances in a multimode square glass micropillar resonator; the resonances were obtained by using angle-resolved prism coupling. Our experiments reveal characteristically asymmetric line shapes of high-Q resonances and of detuned low-Q resonances in multimode reflection spectra. The asymmetric resonance line shapes evolve for an approximately pi phase within a 0.5° range of reflection angles. We model our observed asymmetric multimode resonances by the far-field interference between a light wave that is evanescently coupled with a high-Q mode orbit and a coherent light wave that is refractively coupled with a detuned low-Q mode orbit.

  16. Multi-modality molecular imaging for gastric cancer research

    NASA Astrophysics Data System (ADS)

    Liang, Jimin; Chen, Xueli; Liu, Junting; Hu, Hao; Qu, Xiaochao; Wang, Fu; Nie, Yongzhan

    2011-12-01

    Because of the ability of integrating the strengths of different modalities and providing fully integrated information, multi-modality molecular imaging techniques provide an excellent solution to detecting and diagnosing earlier cancer, which remains difficult to achieve by using the existing techniques. In this paper, we present an overview of our research efforts on the development of the optical imaging-centric multi-modality molecular imaging platform, including the development of the imaging system, reconstruction algorithms and preclinical biomedical applications. Primary biomedical results show that the developed optical imaging-centric multi-modality molecular imaging platform may provide great potential in the preclinical biomedical applications and future clinical translation.

  17. Investigation on a compact in-line multimode-single-mode-multimode fiber structure

    NASA Astrophysics Data System (ADS)

    Yin, Bin; Li, Yang; Liu, Zhi-bo; Feng, Suchun; Bai, Yunlong; Xu, Yao; Jian, Shuisheng

    2016-06-01

    We carried out a detailed investigation on a compact in-line multimode single-mode multimode (MSM) fiber structure. Both theoretical modal and experimental setup were established to demonstrate the transmission characteristics and the corresponding responses of the applied strain and temperature. The proposed structure simply involves a section of the single-mode fiber (SMF) spliced to two sections of multimode fiber (MMF) and lead-in and lead-out SMFs. The excited environment-sensitive cladding modes together with the fundamental mode in the central SMF form a typical Mach-Zehnder interferometer (MZI). We analyzed the transmission characteristics of the different length of the middle SMF and the MMF in detail. In the experiment, we obtained the extinction ratio of the MSM fiber structure based MZI comb spectrum which was up to 20 dB, and sensitivities of 0.7096 pm/με (0-2000 με) and 44.12 pm/°C (10-70 °C), which proved the potential sensing applications of the proposed fiber structure.

  18. The multimodal treatment of eating disorders

    PubMed Central

    HALMI, KATHERINE A.

    2005-01-01

    The treatment of eating disorders is based on a multimodal model, recognizing that these disorders do not have a single cause or a predictable course. The treatment strategy is determined by the severity of illness and the specific eating disorder diagnosis. For the treatment of anorexia nervosa, the key elements are medical management, behavioral therapy, cognitive therapy and family therapy, while pharmacotherapy is at best an adjunct to other therapies. In bulimia nervosa, the treatment of choice is cognitive-behavioral therapy, but a greater improvement in mood and anxiety occurs when antidepressant therapy is added. In binge eating disorder, cognitive-behavioral therapy and interpersonal therapy produce substantial and long-lasting changes and pharmacological treatment has often a useful role. PMID:16633511

  19. Temporal Multimode Storage of Entangled Photon Pairs

    NASA Astrophysics Data System (ADS)

    Tiranov, Alexey; Strassmann, Peter C.; Lavoie, Jonathan; Brunner, Nicolas; Huber, Marcus; Verma, Varun B.; Nam, Sae Woo; Mirin, Richard P.; Lita, Adriana E.; Marsili, Francesco; Afzelius, Mikael; Bussières, Félix; Gisin, Nicolas

    2016-12-01

    Multiplexed quantum memories capable of storing and processing entangled photons are essential for the development of quantum networks. In this context, we demonstrate and certify the simultaneous storage and retrieval of two entangled photons inside a solid-state quantum memory and measure a temporal multimode capacity of ten modes. This is achieved by producing two polarization-entangled pairs from parametric down-conversion and mapping one photon of each pair onto a rare-earth-ion-doped (REID) crystal using the atomic frequency comb (AFC) protocol. We develop a concept of indirect entanglement witnesses, which can be used as Schmidt number witnesses, and we use it to experimentally certify the presence of more than one entangled pair retrieved from the quantum memory. Our work puts forward REID-AFC as a platform compatible with temporal multiplexing of several entangled photon pairs along with a new entanglement certification method, useful for the characterization of multiplexed quantum memories.

  20. Automatic processing of multimodal tomography datasets.

    PubMed

    Parsons, Aaron D; Price, Stephen W T; Wadeson, Nicola; Basham, Mark; Beale, Andrew M; Ashton, Alun W; Mosselmans, J Frederick W; Quinn, Paul D

    2017-01-01

    With the development of fourth-generation high-brightness synchrotrons on the horizon, the already large volume of data that will be collected on imaging and mapping beamlines is set to increase by orders of magnitude. As such, an easy and accessible way of dealing with such large datasets as quickly as possible is required in order to be able to address the core scientific problems during the experimental data collection. Savu is an accessible and flexible big data processing framework that is able to deal with both the variety and the volume of data of multimodal and multidimensional scientific datasets output such as those from chemical tomography experiments on the I18 microfocus scanning beamline at Diamond Light Source.

  1. Interactive multi-mode blade impact analysis

    NASA Technical Reports Server (NTRS)

    Alexander, A.; Cornell, R. W.

    1978-01-01

    The theoretical methodology used in developing an analysis for the response of turbine engine fan blades subjected to soft-body (bird) impacts is reported, and the computer program developed using this methodology as its basis is described. This computer program is an outgrowth of two programs that were previously developed for the purpose of studying problems of a similar nature (a 3-mode beam impact analysis and a multi-mode beam impact analysis). The present program utilizes an improved missile model that is interactively coupled with blade motion which is more consistent with actual observations. It takes into account local deformation at the impact area, blade camber effects, and the spreading of the impacted missile mass on the blade surface. In addition, it accommodates plate-type mode shapes. The analysis capability in this computer program represents a significant improvement in the development of the methodology for evaluating potential fan blade materials and designs with regard to foreign object impact resistance.

  2. Portable, miniaturized, fibre delivered, multimodal CARS exoscope.

    PubMed

    Smith, Brett; Naji, Majid; Murugkar, Sangeeta; Alarcon, Emilio; Brideau, Craig; Stys, Peter; Anis, Hanan

    2013-07-15

    We demonstrate for the first time, a portable multimodal coherent anti-Stokes Raman scattering microscope (exoscope) for minimally invasive in-vivo imaging of tissues. This device is based around a micro-electromechanical system scanning mirror and miniaturized optics with light delivery accomplished by a photonic crystal fibre. A single Ti:sapphire femtosecond pulsed laser is used as the light source to produce CARS, two photon excitation fluorescence and second harmonic generation images. The high resolution and distortion-free images obtained from various resolution and bio-samples, particularly in backward direction (epi) successfully demonstrate proof of concept, and pave the path towards future non or minimally-invasive in vivo imaging.

  3. Bimodal and multimodal plant biomass particle mixtures

    DOEpatents

    Dooley, James H.

    2013-07-09

    An industrial feedstock of plant biomass particles having fibers aligned in a grain, wherein the particles are individually characterized by a length dimension (L) aligned substantially parallel to the grain, a width dimension (W) normal to L and aligned cross grain, and a height dimension (H) normal to W and L, wherein the L.times.H dimensions define a pair of substantially parallel side surfaces characterized by substantially intact longitudinally arrayed fibers, the W.times.H dimensions define a pair of substantially parallel end surfaces characterized by crosscut fibers and end checking between fibers, and the L.times.W dimensions define a pair of substantially parallel top and bottom surfaces, and wherein the particles in the feedstock are collectively characterized by having a bimodal or multimodal size distribution.

  4. Multimodality Imaging Findings of a Renal Aspergilloma

    PubMed Central

    Bulakçı, Mesut; Kartal, Merve Gülbiz; Çelenk, Erhan; Tunçer, Sena; Kılıçaslan, Işın

    2016-01-01

    Background Renal aspergillosis is a rare infection that usually occurs in persons with a predisposition for this condition. Its differential diagnosis includes primary and metastatic renal malignancies, pyelonephritis and secondary abscess formation, granulomatous disorders, and renal infarction. We aim to stress the role of multimodality imaging and percutaneous biopsy in the diagnosis of this condition. Case Report We present diffusion weighted imaging (DWI) and positron emission tomography-computed tomography (PET-CT) findings in addition to conventional imaging modalities in a 55-year-old man with secondary renal aspergilloma. Conclusion Radiological imaging methods are an integral part of diagnostic workup for renal aspergillosis. A definitive diagnosis is made by histopathological and/or microbiological examination of the material obtained via percutaneous biopsy under guidance of imaging methods. PMID:27994929

  5. TDRS multimode transponder program. Phase 1: Design

    NASA Technical Reports Server (NTRS)

    Cnossen, R. S.

    1972-01-01

    The use of geosynchronous tracking and data relay satellites (TDRS) which can serve both low data rate users at VHF and high data rate users at other frequencies is considered. The effects of radio frequency interference from the earth and of multipath propagation due to reflections from the earth are expected to pose problems for the TDRS system at VHF. Investigations suggest several modulation techniques that offer promise to overcome these problems. This report provides a complete design of a VHF/UHF multimode transponder and its associated ground support equipment. The transponder is designed for installation aboard an aircraft and will demonstrate candidate modulation techniques to provide the required information for the design of an eventual VHF/UHF transponder suitable for installation in a user satellite, capable of operating as part of a TDRS system.

  6. Multimodal interfaces with voice and gesture input

    SciTech Connect

    Milota, A.D.; Blattner, M.M.

    1995-07-20

    The modalities of speech and gesture have different strengths and weaknesses, but combined they create synergy where each modality corrects the weaknesses of the other. We believe that a multimodal system such a one interwining speech and gesture must start from a different foundation than ones which are based solely on pen input. In order to provide a basis for the design of a speech and gesture system, we have examined the research in other disciplines such as anthropology and linguistics. The result of this investigation was a taxonomy that gave us material for the incorporation of gestures whose meanings are largely transparent to the users. This study describes the taxonomy and gives examples of applications to pen input systems.

  7. Multimodal device for assessment of skin malformations

    NASA Astrophysics Data System (ADS)

    Bekina, A.; Garancis, V.; Rubins, U.; Spigulis, J.; Valeine, L.; Berzina, A.

    2013-11-01

    A variety of multi-spectral imaging devices is commercially available and used for skin diagnostics and monitoring; however, an alternative cost-efficient device can provide an advanced spectral analysis of skin. A compact multimodal device for diagnosis of pigmented skin lesions was developed and tested. A polarized LED light source illuminates the skin surface at four different wavelengths - blue (450 nm), green (545 nm), red (660 nm) and infrared (940 nm). Spectra of reflected light from the 25 mm wide skin spot are imaged by a CMOS sensor. Four spectral images are obtained for mapping of the main skin chromophores. The specific chromophore distribution differences between different skin malformations were analyzed and information of subcutaneous structures was consecutively extracted.

  8. Managing hyperemesis gravidarum: a multimodal challenge.

    PubMed

    Jueckstock, J K; Kaestner, R; Mylonas, I

    2010-07-15

    Up to 90% of pregnant women experience nausea and vomiting. When prolonged or severe, this is known as hyperemesis gravidarum (HG), which can, in individual cases, be life threatening. In this article the aetiology, diagnosis and treatment strategies will be presented based on a selective literature review. Treatment strategies range from outpatient dietary advice and antiemetic drugs to hospitalization and intravenous (IV) fluid replacement in persistent or severe cases. Alternative methods, such as acupuncture, are not yet evidence based but sometimes have a therapeutic effect.In most cases, the condition is self limiting and subsides by around 20 weeks gestation. More severe forms require medical intervention once other organic causes of nausea and vomiting have been excluded. In addition, a psychosomatic approach is often helpful.In view of its potential complexity, general practitioners and obstetricians should be well informed about HG and therapy should be multimodal.

  9. Image registration techniques for multimodal sensors

    NASA Astrophysics Data System (ADS)

    Altinalev, Tevfik; Cetin, Enis A.; Yardimci, Yasemin C.

    2002-08-01

    Image registration refers to the problem of spatially aligning two or more images. A challenging problem in this area is the registration of images obtained by different types of sensors. In general such images have different gray level characteristics and commonly used techniques such as those based on area correlations cannot be applied directly. On the other hand, contours representing the region boundaries are preserved in most cases. Therefore, contour based registration techniques are applicable to multimodal sensors. In this paper, various registration techniques based on subband decomposition and projection along x and y directions are introduced. The effect of binarization is investigated. Unknown translation and scaling parameters are computed using cross-correlation methods over the projections. Performance of the algorithms is compared.

  10. Multimodal Protein Constructs for Herbivore Insect Control

    PubMed Central

    Sainsbury, Frank; Benchabane, Meriem; Goulet, Marie-Claire; Michaud, Dominique

    2012-01-01

    Transgenic plants expressing combinations of microbial or plant pesticidal proteins represent a promising tool for the efficient, durable control of herbivorous insects. In this review we describe current strategies devised for the heterologous co-expression of pesticidal proteins in planta, some of which have already shown usefulness in plant protection. Emphasis is placed on protein engineering strategies involving the insertion of single DNA constructs within the host plant genome. Multimodal fusion proteins integrating complementary pesticidal functions along a unique polypeptide are first considered, taking into account the structural constraints associated with protein or protein domain grafting to biologically active proteins. Strategies that allow for the co- or post-translational release of two or more pesticidal proteins are then considered, including polyprotein precursors releasing free proteins upon proteolytic cleavage, and multicistronic transcripts for the parallel translation of single protein-encoding mRNA sequences. PMID:22822457

  11. Disentangling multimodal processes in social categorization.

    PubMed

    Slepian, Michael L

    2015-03-01

    The current work examines the role of sensorimotor processes (manipulating whether visual exposure to hard and soft stimuli encourage sensorimotor simulation) and metaphor processes (assessing whether participants have understanding of a pertinent metaphor: "hard" Republicans and "soft" Democrats) in social categorization. Using new methodology to disassociate these multimodal processes (i.e., semantic, metaphoric, and sensorimotoric), the current work demonstrates that both sensorimotor and metaphor processes, combined, are needed to find an effect upon conceptual processing, providing evidence in support of the combined importance of these two theorized components. When participants comprehended the metaphor of hard Republicans and soft Democrats, and when encouraged to simulate sensorimotor experiences of hard and soft stimuli, those stimuli influenced categorization of faces as Republican and Democrat.

  12. Condensation of thresholds in multimode microlasers

    NASA Astrophysics Data System (ADS)

    Ge, Li; Cao, Hui; Stone, A. Douglas

    2017-02-01

    We show from ab initio laser theory that by choosing an appropriate spatial pump profile, many different spatial modes of a typical microlaser can be turned on at the same pump energy, substantially increasing the number N of simultaneous lasing modes. The optimal pump profile can be obtained simply from knowledge of the space-dependent saturated gain profile when the system is uniformly pumped up to the N th modal threshold. We test this general result by applying it to a two-dimensional diffusive random laser and a microdisk laser. Achieving highly multimode lasing at reasonable pump powers is useful for reducing the spatial coherence of laser sources, making them suitable for use in speckle-free imaging and other applications.

  13. Automatic processing of multimodal tomography datasets

    PubMed Central

    Parsons, Aaron D.; Price, Stephen W. T.; Wadeson, Nicola; Basham, Mark; Beale, Andrew M.; Ashton, Alun W.; Mosselmans, J. Frederick. W.; Quinn, Paul. D.

    2017-01-01

    With the development of fourth-generation high-brightness synchrotrons on the horizon, the already large volume of data that will be collected on imaging and mapping beamlines is set to increase by orders of magnitude. As such, an easy and accessible way of dealing with such large datasets as quickly as possible is required in order to be able to address the core scientific problems during the experimental data collection. Savu is an accessible and flexible big data processing framework that is able to deal with both the variety and the volume of data of multimodal and multidimensional scientific datasets output such as those from chemical tomography experiments on the I18 microfocus scanning beamline at Diamond Light Source. PMID:28009564

  14. Robust temporal alignment of multimodal cardiac sequences

    NASA Astrophysics Data System (ADS)

    Perissinotto, Andrea; Queirós, Sandro; Morais, Pedro; Baptista, Maria J.; Monaghan, Mark; Rodrigues, Nuno F.; D'hooge, Jan; Vilaça, João. L.; Barbosa, Daniel

    2015-03-01

    Given the dynamic nature of cardiac function, correct temporal alignment of pre-operative models and intraoperative images is crucial for augmented reality in cardiac image-guided interventions. As such, the current study focuses on the development of an image-based strategy for temporal alignment of multimodal cardiac imaging sequences, such as cine Magnetic Resonance Imaging (MRI) or 3D Ultrasound (US). First, we derive a robust, modality-independent signal from the image sequences, estimated by computing the normalized cross-correlation between each frame in the temporal sequence and the end-diastolic frame. This signal is a resembler for the left-ventricle (LV) volume curve over time, whose variation indicates different temporal landmarks of the cardiac cycle. We then perform the temporal alignment of these surrogate signals derived from MRI and US sequences of the same patient through Dynamic Time Warping (DTW), allowing to synchronize both sequences. The proposed framework was evaluated in 98 patients, which have undergone both 3D+t MRI and US scans. The end-systolic frame could be accurately estimated as the minimum of the image-derived surrogate signal, presenting a relative error of 1.6 +/- 1.9% and 4.0 +/- 4.2% for the MRI and US sequences, respectively, thus supporting its association with key temporal instants of the cardiac cycle. The use of DTW reduces the desynchronization of the cardiac events in MRI and US sequences, allowing to temporally align multimodal cardiac imaging sequences. Overall, a generic, fast and accurate method for temporal synchronization of MRI and US sequences of the same patient was introduced. This approach could be straightforwardly used for the correct temporal alignment of pre-operative MRI information and intra-operative US images.

  15. Preterm EEG: a multimodal neurophysiological protocol.

    PubMed

    Stjerna, Susanna; Voipio, Juha; Metsäranta, Marjo; Kaila, Kai; Vanhatalo, Sampsa

    2012-02-18

    Since its introduction in early 1950s, electroencephalography (EEG) has been widely used in the neonatal intensive care units (NICU) for assessment and monitoring of brain function in preterm and term babies. Most common indications are the diagnosis of epileptic seizures, assessment of brain maturity, and recovery from hypoxic-ischemic events. EEG recording techniques and the understanding of neonatal EEG signals have dramatically improved, but these advances have been slow to penetrate through the clinical traditions. The aim of this presentation is to bring theory and practice of advanced EEG recording available for neonatal units. In the theoretical part, we will present animations to illustrate how a preterm brain gives rise to spontaneous and evoked EEG activities, both of which are unique to this developmental phase, as well as crucial for a proper brain maturation. Recent animal work has shown that the structural brain development is clearly reflected in early EEG activity. Most important structures in this regard are the growing long range connections and the transient cortical structure, subplate. Sensory stimuli in a preterm baby will generate responses that are seen at a single trial level, and they have underpinnings in the subplate-cortex interaction. This brings neonatal EEG readily into a multimodal study, where EEG is not only recording cortical function, but it also tests subplate function via different sensory modalities. Finally, introduction of clinically suitable dense array EEG caps, as well as amplifiers capable of recording low frequencies, have disclosed multitude of brain activities that have as yet been overlooked. In the practical part of this video, we show how a multimodal, dense array EEG study is performed in neonatal intensive care unit from a preterm baby in the incubator. The video demonstrates preparation of the baby and incubator, application of the EEG cap, and performance of the sensory stimulations.

  16. Rethinking Resources: Multimodal Pedagogies in the ESL Classroom.

    ERIC Educational Resources Information Center

    Stein, Pippa

    2000-01-01

    Describes a process for rethinking resources in the English-as-a-Second-Language classroom. Rethinking resources is possible through multimodal pedagogies that recognize students as remakers and transformers of the representational resources available to them. (Author/VWL)

  17. 2016 SmartWay Multimodal Carrier Tool Demonstration

    EPA Pesticide Factsheets

    This EPA presentation provides information on the SmartWay Transport Partnership Multimodal Tool; carrier categories, emission metrics, performance reports, completing the tool, data collection and usage, and the 2016 schedule.

  18. Manifold learning based registration algorithms applied to multimodal images.

    PubMed

    Azampour, Mohammad Farid; Ghaffari, Aboozar; Hamidinekoo, Azam; Fatemizadeh, Emad

    2014-01-01

    Manifold learning algorithms are proposed to be used in image processing based on their ability in preserving data structures while reducing the dimension and the exposure of data structure in lower dimension. Multi-modal images have the same structure and can be registered together as monomodal images if only structural information is shown. As a result, manifold learning is able to transform multi-modal images to mono-modal ones and subsequently do the registration using mono-modal methods. Based on this application, in this paper novel similarity measures are proposed for multi-modal images in which Laplacian eigenmaps are employed as manifold learning algorithm and are tested against rigid registration of PET/MR images. Results show the feasibility of using manifold learning as a way of calculating the similarity between multimodal images.

  19. Towards a compact fiber laser for multimodal imaging

    NASA Astrophysics Data System (ADS)

    Nie, Bai; Saytashev, Ilyas; Dantus, Marcos

    2014-03-01

    We report on multimodal depth-resolved imaging of unstained living Drosophila Melanogaster larva using sub-50 fs pulses centered at 1060 nm wavelength. Both second harmonic and third harmonic generation imaging modalities are demonstrated.

  20. Entity Recognition Via Multimodal Sensor Fusion With Smart Phones

    DTIC Science & Technology

    2015-03-26

    smart phone, it will include a chipset to access a communications network as well as the ability to connect to public and private local wireless...ENTITY RECOGNITION VIA MULTIMODAL SENSOR FUSION WITH SMART PHONES THESIS John E. Nagy, Capt, USAF AFIT-ENG-MS-15-M-023 DEPARTMENT OF THE AIR FORCE...subject to copyright protection in the United States. AFIT-ENG-MS-15-M-023 ENTITY RECOGNITION VIA MULTIMODAL SENSOR FUSION WITH SMART PHONES THESIS

  1. Participatory Classification in a System for Assessing Multimodal Transportation Patterns

    DTIC Science & Technology

    2015-02-17

    Participatory Classification in a System for Assessing Multimodal Transportation Patterns Kalyanaraman Shankari Mogeng Yin Randy H. Katz David E...Participatory Classification in a System for Assessing Multimodal Transportation Patterns 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT...share, for use by urban planners. With this prototype, we collected 7439 labelled sections from 44 unpaid volunteers over a total period of 3 months

  2. Two-photon excitation endoscopy through a multimode optical fiber

    NASA Astrophysics Data System (ADS)

    Morales Delgado, Edgar E.; Psaltis, Demetri; Moser, Christophe

    2016-03-01

    The vast number of propagating solutions to the wave equation in multimode optical fibers represents a larger information capacity than provided by fiber bundles of the same diameter. Therefore, in the field of imaging, multimode fibers potentially allow the transmission of images with higher resolution. However, image transmission through multimode fibers is not direct as in the fiber bundle case, in which each of the fiber cores can relay a portion of the distal image. In multimode fiber transmission, a distribution of intensity is scrambled in time and space by the propagating modes, leading to a speckle-like pattern that does not resemble the initial distribution. Here, we demonstrate two-photon excitation imaging of fluorescent beads through a multimode optical fiber. We show that our method maintains the advantages of two-photon excitation microscopy compared to single-photon excitation such as reduced photo-bleaching, deeper penetration depth and sectioning capability. Our method is based on time-gated digital phase conjugation, which allows the generation of focused pulses on the other side of a multimode fiber. To acquire an image, the focused femtosecond pulse is scanned in a three-dimensional mesh, producing two-photon excitation on each spatial location of the sample. By collecting the fluorescence through the fiber, a 3D two-photon image is reconstructed.

  3. A Single-Photon Subtractor for Multimode Quantum States

    NASA Astrophysics Data System (ADS)

    Ra, Young-Sik; Jacquard, Clément; Averchenko, Valentin; Roslund, Jonathan; Cai, Yin; Dufour, Adrien; Fabre, Claude; Treps, Nicolas

    2016-05-01

    In the last decade, single-photon subtraction has proved to be key operations in optical quantum information processing and quantum state engineering. Implementation of the photon subtraction has been based on linear optics and single-photon detection on single-mode resources. This technique, however, becomes unsuitable with multimode resources such as spectrally multimode squeezed states or continuous variables cluster states. We implement a single-photon subtractor for such multimode resources based on sum-frequency generation and single-photon detection. An input multimode quantum state interacts with a bright control beam whose spectrum has been engineered through ultrafast pulse-shaping. The multimode quantum state resulting from the single-photon subtractor is analyzed with multimode homodyne detection whose local oscillator spectrum is independently engineered. We characterize the single-photon subtractor via coherent-state quantum process tomography, which provides its mode-selectivity and subtraction modes. The ability to simultaneously control the state engineering and its detection ensures both flexibility and scalability in the production of highly entangled non-Gaussian quantum states.

  4. Mode coupling in multimode plastic optical fiber

    NASA Astrophysics Data System (ADS)

    Wang, Jing

    1999-10-01

    In this thesis, we report the results of our experimental and theoretical studies of mode coupling in multi-mode optical fibers. We demonstrate that strong mode coupling in poly(methyl methacrylate) (PMMA) based multi-mode plastic optical fibers (POFs) effectively increases the bandwidth performance by a factor of as much as an order of magnitude. We investigate in detail the physical mechanisms of mode coupling. The most important feature of an optical fiber waveguide is its bandwidth, which defines its information carrying capacity. A major limitation on the bandwidth of multi- mode glass and plastic optical fibers is modal dispersion, in which different optical modes propagate at different velocities and the dispersion grows linearly with length. Modal dispersion in an optical fiber waveguide is reduced through mode coupling by allowing the energy packets of a signal pulse at different times to occupy different modes as they are propagating down the waveguide. With mode coupling, pulse broadening varies only as a characteristic square root function of the fiber length as opposed to following the usual linear dependence The bandwidths of both step index (SI) and graded index (GI) POF samples are carefully measured in the time domain and determined to be 80 +/- 10 MHz per 100m for SI POF and 3.0 +/- 0.4 GHz per 100m for GI POF. The index profiles are first directly measured by standard high accuracy techniques, such as the near field method, the refracted near field ray method, and the transverse interferometric method (TIM), and then probed with the highly sensitive differential mode delay (DMD) measurement. We developed a highly efficient numerical methodology based on the Streifer-Kurtz WKB theory for solving the scalar wave equation in fiber waveguides and implemented the new method in MathematicaTM to simulate fiber optical transmission characteristics for an arbitrary given index profile, such as the DMD profile, impulse response, and bandwidth performance

  5. Multimodal pediatric pain management (part 2).

    PubMed

    Friedrichsdorf, Stefan J

    2017-01-20

    Dr Stefan Friedrichsdorf speaks to Commissioning Editor Jade Parker: Stefan Friedrichsdorf, MD, is medical director of the Department of Pain Medicine, Palliative Care and Integrative Medicine at Children's Hospitals and Clinics of Minnesota in Minneapolis/St Paul, MN, USA, home to one of the largest and most comprehensive programs of its kind in the country. The pain and palliative care program is devoted to control acute, chronic/complex and procedural pain for inpatients and outpatients in close collaboration with all pediatric subspecialties at Children's Minnesota. The team also provides holistic, interdisciplinary care for children and teens with life limiting or terminal diseases and their families. Integrative medicine provides and teaches integrative, nonpharmacological therapies (such as massage, acupuncture/acupressure, biofeedback, aromatherapy and self-hypnosis) to provide care that promotes optimal health and supports the highest level of functioning in all individual children's activities. In this second part of the interview they discuss multimodal (opioid-sparing) analgesia for hospitalized children in pain and how analgesics and adjuvant medications, interventions, rehabilitation, psychological and integrative therapies act synergistically for more effective pediatric pain control with fewer side effects than a single analgesic or modality.

  6. Multimode bolometer development for the PIXIE instrument

    NASA Astrophysics Data System (ADS)

    Nagler, Peter C.; Crowley, Kevin T.; Denis, Kevin L.; Devasia, Archana M.; Fixsen, Dale J.; Kogut, Alan J.; Manos, George; Porter, Scott; Stevenson, Thomas R.

    2016-07-01

    The Primordial Inflation Explorer (PIXIE) is an Explorer-class mission concept designed to measure the polar- ization and absolute intensity of the cosmic microwave background. In the following, we report on the design, fabrication, and performance of the multimode polarization-sensitive bolometers for PIXIE, which are based on silicon thermistors. In particular we focus on several recent advances in the detector design, including the implementation of a scheme to greatly raise the frequencies of the internal vibrational modes of the large-area, low-mass optical absorber structure consisting of a grid of micromachined, ion-implanted silicon wires. With ˜ 30 times the absorbing area of the spider-web bolometers used by Planck, the tensioning scheme enables the PIXIE bolometers to be robust in the vibrational and acoustic environment at launch of the space mission. More generally, it could be used to reduce microphonic sensitivity in other types of low temperature detectors. We also report on the performance of the PIXIE bolometers in a dark cryogenic environment.

  7. Multimode Bolometer Development for the PIXIE Instrument

    NASA Technical Reports Server (NTRS)

    Nagler, Peter C.; Crowley, Kevin T.; Denis, Kevin L.; Devasia, Archana M.; Fixsen, Dale J.; Kogut, Alan J.; Manos, George; Porter, Scott; Stevenson, Thomas R.

    2016-01-01

    The Primordial Inflation Explorer (PIXIE) is an Explorer-class mission concept designed to measure the polarization and absolute intensity of the cosmic microwave background. In the following, we report on the design, fabrication, and performance of the multimode polarization-sensitive bolometers for PIXIE, which are based on silicon thermistors. In particular we focus on several recent advances in the detector design, including the implementation of a scheme to greatly raise the frequencies of the internal vibrational modes of the large-area, low-mass optical absorber structure consisting of a grid of micromachined, ion-implanted silicon wires. With approximately 30 times the absorbing area of the spider-web bolometers used by Planck, the tensioning scheme enables the PIXIE bolometers to be robust in the vibrational and acoustic environment at launch of the space mission. More generally, it could be used to reduce microphonic sensitivity in other types of low temperature detectors. We also report on the performance of the PIXIE bolometers in a dark cryogenic environment.

  8. Normalized entropy measure for multimodality image alignment

    NASA Astrophysics Data System (ADS)

    Studholme, Colin; Hawkes, David J.; Hill, Derek L.

    1998-06-01

    Automated multi-modality 3D medical image alignment has been an active area of research for many years. There have been a number of recent papers proposing and investigating the use of entropy derived measures of brain image alignment. Any registration measure must allow us to choose between transformation estimates based on the similarity of images within their volume of overlap. Since 3D medical images often have a limited extent and overlap, the similarity measure for the two transformation estimates may be derived from two very different regions within the images. Direct measures of information such as the joint entropy and mutual information will therefore be a function of, not only image similarity in the region of overlap, but also of the local image content within the overlap. In this paper we present a new measure, normalized mutual information, which is simply the ratio of the sum of the marginal entropies and the joint entropy. The effect of changing overlap on current entropy measures and this normalized measure are compared using a simple image model and experiments on clinical MR-PET and MR-CT image data. Results indicate that the normalized entropy measure provides significantly improved behavior over a range of imaged fields of view.

  9. Practical applications of multimodal NDT data

    NASA Astrophysics Data System (ADS)

    Frankle, Robert S.

    1993-01-01

    Today's powerful computer workstations enable multimodal nondestructive testing (NDT) to be used for such practical applications as detecting and evaluating defects in structures. Radiography (x ray) and ultrasonics (UT) are examples of two different nondestructive tests, or modalities, which measure characteristics of materials and structures without affecting them. Traditionally, NDT produced an analog result, such as an image on x-ray film, which was difficult to review, interpret, and store. New and more powerful digital NDT techniques, such as industrial x-ray computed tomography (CT), produce digital output that is readily amenable to computerized analysis and storage. Computers are now available with sufficient memory and performance to support interactive processing of digital NDT data sets, which can easily exceed 100 megabytes. Numerous data sets can be stored on small, inexpensive tape cassettes. Failure Analysis Associates, Inc. (FaAA) has developed software-based techniques for using NDT to identify defects in structures. These techniques are also used to visualize the NDT data and to analyze the structural integrity of parts containing NDT-detected defects. FaAA's approach employs state-of-the-art scientific visualization and computer workstation technology. For some types of materials, such as advanced composites, data from different NDT modalities are needed to locate different types of defects. Applications of this technology include assessment of impact damage in composite aerospace structures, investigation of failed assemblies, and evaluation of metallic casting defects.

  10. Multimodal interaction for human-robot teams

    NASA Astrophysics Data System (ADS)

    Burke, Dustin; Schurr, Nathan; Ayers, Jeanine; Rousseau, Jeff; Fertitta, John; Carlin, Alan; Dumond, Danielle

    2013-05-01

    Unmanned ground vehicles have the potential for supporting small dismounted teams in mapping facilities, maintaining security in cleared buildings, and extending the team's reconnaissance and persistent surveillance capability. In order for such autonomous systems to integrate with the team, we must move beyond current interaction methods using heads-down teleoperation which require intensive human attention and affect the human operator's ability to maintain local situational awareness and ensure their own safety. This paper focuses on the design, development and demonstration of a multimodal interaction system that incorporates naturalistic human gestures, voice commands, and a tablet interface. By providing multiple, partially redundant interaction modes, our system degrades gracefully in complex environments and enables the human operator to robustly select the most suitable interaction method given the situational demands. For instance, the human can silently use arm and hand gestures for commanding a team of robots when it is important to maintain stealth. The tablet interface provides an overhead situational map allowing waypoint-based navigation for multiple ground robots in beyond-line-of-sight conditions. Using lightweight, wearable motion sensing hardware either worn comfortably beneath the operator's clothing or integrated within their uniform, our non-vision-based approach enables an accurate, continuous gesture recognition capability without line-of-sight constraints. To reduce the training necessary to operate the system, we designed the interactions around familiar arm and hand gestures.

  11. Multimodal imaging system for dental caries detection

    NASA Astrophysics Data System (ADS)

    Liang, Rongguang; Wong, Victor; Marcus, Michael; Burns, Peter; McLaughlin, Paul

    2007-02-01

    Dental caries is a disease in which minerals of the tooth are dissolved by surrounding bacterial plaques. A caries process present for some time may result in a caries lesion. However, if it is detected early enough, the dentist and dental professionals can implement measures to reverse and control caries. Several optical, nonionized methods have been investigated and used to detect dental caries in early stages. However, there is not a method that can singly detect the caries process with both high sensitivity and high specificity. In this paper, we present a multimodal imaging system that combines visible reflectance, fluorescence, and Optical Coherence Tomography (OCT) imaging. This imaging system is designed to obtain one or more two-dimensional images of the tooth (reflectance and fluorescence images) and a three-dimensional OCT image providing depth and size information of the caries. The combination of two- and three-dimensional images of the tooth has the potential for highly sensitive and specific detection of dental caries.

  12. Multimodal entity coreference for cervical dysplasia diagnosis.

    PubMed

    Song, Dezhao; Kim, Edward; Huang, Xiaolei; Patruno, Joseph; Munoz-Avila, Hector; Heflin, Jeff; Long, L Rodney; Antani, Sameer

    2015-01-01

    Cervical cancer is the second most common type of cancer for women. Existing screening programs for cervical cancer, such as Pap Smear, suffer from low sensitivity. Thus, many patients who are ill are not detected in the screening process. Using images of the cervix as an aid in cervical cancer screening has the potential to greatly improve sensitivity, and can be especially useful in resource-poor regions of the world. In this paper, we develop a data-driven computer algorithm for interpreting cervical images based on color and texture. We are able to obtain 74% sensitivity and 90% specificity when differentiating high-grade cervical lesions from low-grade lesions and normal tissue. On the same dataset, using Pap tests alone yields a sensitivity of 37% and specificity of 96%, and using HPV test alone gives a 57% sensitivity and 93% specificity. Furthermore, we develop a comprehensive algorithmic framework based on Multimodal Entity Coreference for combining various tests to perform disease classification and diagnosis. When integrating multiple tests, we adopt information gain and gradient-based approaches for learning the relative weights of different tests. In our evaluation, we present a novel algorithm that integrates cervical images, Pap, HPV, and patient age, which yields 83.21% sensitivity and 94.79% specificity, a statistically significant improvement over using any single source of information alone.

  13. Pain Management in Pregnancy: Multimodal Approaches

    PubMed Central

    Shah, Shalini; Banh, Esther T.; Koury, Katharine; Bhatia, Gaurav; Nandi, Roneeta; Gulur, Padma

    2015-01-01

    Nonobstetrical causes of pain during pregnancy are very common and can be incapacitating if not treated appropriately. Recent reports in the literature show that a significant percentage of pregnant women are treated with opioids during pregnancy. To address common pain conditions that present during pregnancy and the available pharmacological and nonpharmacological treatment options, for each of the pain conditions identified, a search using MEDLINE, PubMed, Embase, and Cochrane databases was performed. The quality of the evidence was evaluated in the context of study design. This paper is a narrative summary of the results obtained from individual reviews. There were significant disparities in the studies in terms of design, research and methodology, and outcomes analyzed. There is reasonable evidence available for pharmacological approaches; however, these are also associated with adverse events. Evidence for nonpharmacological approaches is limited and hence their efficacy is unclear, although they do appear to be primarily safe. A multimodal approach using a combination of nonpharmacological and pharmacological options to treat these pain conditions is likely to have the most benefit while limiting risk. Research trials with sound methodology and analysis of outcome data are needed. PMID:26448875

  14. Haptic-Multimodal Flight Control System Update

    NASA Technical Reports Server (NTRS)

    Goodrich, Kenneth H.; Schutte, Paul C.; Williams, Ralph A.

    2011-01-01

    The rapidly advancing capabilities of autonomous aircraft suggest a future where many of the responsibilities of today s pilot transition to the vehicle, transforming the pilot s job into something akin to driving a car or simply being a passenger. Notionally, this transition will reduce the specialized skills, training, and attention required of the human user while improving safety and performance. However, our experience with highly automated aircraft highlights many challenges to this transition including: lack of automation resilience; adverse human-automation interaction under stress; and the difficulty of developing certification standards and methods of compliance for complex systems performing critical functions traditionally performed by the pilot (e.g., sense and avoid vs. see and avoid). Recognizing these opportunities and realities, researchers at NASA Langley are developing a haptic-multimodal flight control (HFC) system concept that can serve as a bridge between today s state of the art aircraft that are highly automated but have little autonomy and can only be operated safely by highly trained experts (i.e., pilots) to a future in which non-experts (e.g., drivers) can safely and reliably use autonomous aircraft to perform a variety of missions. This paper reviews the motivation and theoretical basis of the HFC system, describes its current state of development, and presents results from two pilot-in-the-loop simulation studies. These preliminary studies suggest the HFC reshapes human-automation interaction in a way well-suited to revolutionary ease-of-use.

  15. Nanosecond laser damage of optical multimode fibers

    NASA Astrophysics Data System (ADS)

    Mann, Guido; Krüger, Jörg

    2016-07-01

    For pulse laser materials processing often optical step index and gradient index multimode fibers with core diameters ranging from 100 to 600 μm are used. The design of a high power fiber transmission system must take into account limitations resulting from both surface and volume damage effects. Especially, breakdown at the fiber end faces and selffocusing in the fiber volume critically influence the fiber performance. At least operation charts are desirable to select the appropriate fiber type for given laser parameters. In industry-relevant studies the influence of fiber core diameter and end face preparation on laser-induced (surface) damage thresholds (LIDT) was investigated for frequently used all-silica fiber types (manufacturer LEONI). Experiments on preform material (initial fiber material) and compact specimens (models of the cladding and coating material) accompanied the tests performed in accordance with the relevant LIDT standards ISO 21254-1 and ISO 21254-2 for 1-on-1 and S-on-1 irradiation conditions, respectively. The relation beam diameter vs. LIDT was investigated for fused silica fibers. Additionally, laser-induced (bulk) damage thresholds of fused silica preform material F300 (manufacturer Heraeus) in dependence on external mechanical stress simulating fiber bending were measured. All experiments were performed with 10-ns laser pulses at 1064 and 532 nm wavelength with a Gaussian beam profile.

  16. Multimodal Detection of Depression in Clinical Interviews

    PubMed Central

    Dibeklioğlu, Hamdi; Hammal, Zakia; Yang, Ying; Cohn, Jeffrey F.

    2016-01-01

    Current methods for depression assessment depend almost entirely on clinical interview or self-report ratings. Such measures lack systematic and efficient ways of incorporating behavioral observations that are strong indicators of psychological disorder. We compared a clinical interview of depression severity with automatic measurement in 48 participants undergoing treatment for depression. Interviews were obtained at 7-week intervals on up to four occasions. Following standard cut-offs, participants at each session were classified as remitted, intermediate, or depressed. Logistic regression classifiers using leave-one-out validation were compared for facial movement dynamics, head movement dynamics, and vocal prosody individually and in combination. Accuracy (remitted versus depressed) for facial movement dynamics was higher than that for head movement dynamics; and each was substantially higher than that for vocal prosody. Accuracy for all three modalities together reached 88.93%, exceeding that for any single modality or pair of modalities. These findings suggest that automatic detection of depression from behavioral indicators is feasible and that multimodal measures afford most powerful detection. PMID:27213186

  17. Recent Advances in Higher-Order, Multimodal, Biomedical Imaging Agents.

    PubMed

    Rieffel, James; Chitgupi, Upendra; Lovell, Jonathan F

    2015-09-16

    Advances in biomedical imaging have spurred the development of integrated multimodal scanners, usually capable of two simultaneous imaging modes. The long-term vision of higher-order multimodality is to improve diagnostics or guidance through the analysis of complementary, data-rich, co-registered images. Synergies achieved through combined modalities could enable researchers to better track diverse physiological and structural events, analyze biodistribution and treatment efficacy, and compare established and emerging modalities. Higher-order multimodal approaches stand to benefit from molecular imaging probes and, in recent years, contrast agents that have hypermodal characteristics have increasingly been reported in preclinical studies. Given the chemical requirements for contrast agents representing various modalities to be integrated into a single entity, the higher-order multimodal agents reported so far tend to be of nanoparticulate form. To date, the majority of reported nanoparticles have included components that are active for magnetic resonance. Herein, recent progress in higher-order multimodal imaging agents is reviewed, spanning a range of material and structural classes, and demonstrating utility in three (or more) imaging modalities.

  18. The dynamics of multimodal integration: The averaging diffusion model.

    PubMed

    Turner, Brandon M; Gao, Juan; Koenig, Scott; Palfy, Dylan; L McClelland, James

    2017-03-08

    We combine extant theories of evidence accumulation and multi-modal integration to develop an integrated framework for modeling multimodal integration as a process that unfolds in real time. Many studies have formulated sensory processing as a dynamic process where noisy samples of evidence are accumulated until a decision is made. However, these studies are often limited to a single sensory modality. Studies of multimodal stimulus integration have focused on how best to combine different sources of information to elicit a judgment. These studies are often limited to a single time point, typically after the integration process has occurred. We address these limitations by combining the two approaches. Experimentally, we present data that allow us to study the time course of evidence accumulation within each of the visual and auditory domains as well as in a bimodal condition. Theoretically, we develop a new Averaging Diffusion Model in which the decision variable is the mean rather than the sum of evidence samples and use it as a base for comparing three alternative models of multimodal integration, allowing us to assess the optimality of this integration. The outcome reveals rich individual differences in multimodal integration: while some subjects' data are consistent with adaptive optimal integration, reweighting sources of evidence as their relative reliability changes during evidence integration, others exhibit patterns inconsistent with optimality.

  19. High-contrast qubit interactions using multimode cavity QED.

    PubMed

    McKay, David C; Naik, Ravi; Reinhold, Philip; Bishop, Lev S; Schuster, David I

    2015-02-27

    We introduce a new multimode cavity QED architecture for superconducting circuits that can be used to implement photonic memories, more efficient Purcell filters, and quantum simulations of photonic materials. We show that qubit interactions mediated by multimode cavities can have exponentially improved contrast for two qubit gates without sacrificing gate speed. Using two qubits coupled via a three-mode cavity system we spectroscopically observe multimode strong couplings up to 102 MHz and demonstrate suppressed interactions off resonance of 10 kHz when the qubits are ≈600  MHz detuned from the cavity resonance. We study Landau-Zener transitions in our multimode systems and demonstrate quasiadiabatic loading of single photons into the multimode cavity in 25 ns. We introduce an adiabatic gate protocol to realize a controlled-Z gate between the qubits in 95 ns and create a Bell state with 94.7% fidelity. This corresponds to an on/off ratio (gate contrast) of 1000.

  20. The Work of Comics Collaborations: Considerations of Multimodal Composition for Writing Scholarship and Pedagogy

    ERIC Educational Resources Information Center

    Scanlon, Molly J.

    2015-01-01

    Though multimodality is increasingly incorporated into our pedagogies and scholarship, explorations of collaborative multimodal composition are lacking. Existing literature on collaborative writing focuses predominately on texts either composed in singular modes or by a single author, neglecting the ways in which multimodal texts are composed…

  1. New Technologies, New Possibilities for the Arts and Multimodality in English Language Arts

    ERIC Educational Resources Information Center

    Williams, Wendy R.

    2014-01-01

    This article discusses the arts, multimodality, and new technologies in English language arts. It then turns to the example of the illuminated text--a multimodal book report consisting of animated text, music, and images--to consider how art, multimodality, and technology can work together to support students' reading of literature and inspire…

  2. Multimodality, Ethnodrama, and the Preparation of Pre-Service Teachers of Writing

    ERIC Educational Resources Information Center

    Hobson, Sarah

    2014-01-01

    Given the prevalence of multimodal texts in today's world, it is not surprising that adolescent literacies are as dynamic, multimodal and visual as the texts with which they interact. As Kress & Van Leeuwen (1996) have outlined, the multimodal texts that make up a large percentage of our world consist of a range of modes (auditory,…

  3. Multimodal Representations of Identity in the English-as-an-Additional-Language Classroom in South Africa

    ERIC Educational Resources Information Center

    Kajee, Leila

    2011-01-01

    This paper explores the multimodal engagement of English-as-an-additional-language (EAL) students in a classroom in Johannesburg. Within a social semiotic framework, and using constructions of design and identity to understand the students' multimodal engagement, the paper argues that multimodal representations offer EAL students from…

  4. Effect of multimode entanglement on lossy optical quantum metrology

    NASA Astrophysics Data System (ADS)

    Knott, P. A.; Proctor, T. J.; Nemoto, Kae; Dunningham, J. A.; Munro, W. J.

    2014-09-01

    In optical interferometry multimode entanglement is often assumed to be the driving force behind quantum enhanced measurements. Recent work has shown this assumption to be false: single-mode quantum states perform just as well as their multimode entangled counterparts. We go beyond this to show that when photon losses occur, an inevitability in any realistic system, multimode entanglement is actually detrimental to obtaining quantum enhanced measurements. We specifically apply this idea to a superposition of coherent states, demonstrating that these states show a robustness to loss that allows them to significantly outperform their competitors in realistic systems. A practically viable measurement scheme is then presented that allows measurements close to the theoretical bound, even with loss. These results promote an alternate way of approaching optical quantum metrology using single-mode states that we expect to have great implications for the future.

  5. Multifunctional nanostructured materials for multimodal cancer imaging and therapy.

    PubMed

    Liao, Jinfeng; Qi, Tingting; Chu, Bingyang; Peng, Jinrong; Luo, Feng; Qian, Zhiyong

    2014-01-01

    This paper reviews the recent research and development of multifunctional nanostructured materials for multimodal imaging and therapy. The biomedical applications for multifunctional imaging, diagnosis and therapy are discussed for several nanostructured materials such as polymeric nanoparticles, magnetic nanoparticles, gold nanomaterials, carbon materials, quantum dots and silica nanoparticles. Due to the unique features of nanostructured materials including the large surface area, structural diversity, multifunctionality, and long circulation time in blood, these materials have emerged as attractive preferences for optimized therapy. Multimodal imaging can be introduced to nanostructured materials for precise and fast diagnosis of cancer, which overcomes the shortcoming of single-imaging modality. Meanwhile, nanostructured materials can be also used to deliver therapeutic agents to the disease site in order to accomplish multimodal imaging and simultaneous diagnosis and therapy.

  6. Modelling multimodal expression of emotion in a virtual agent

    PubMed Central

    Pelachaud, Catherine

    2009-01-01

    Over the past few years we have been developing an expressive embodied conversational agent system. In particular, we have developed a model of multimodal behaviours that includes dynamism and complex facial expressions. The first feature refers to the qualitative execution of behaviours. Our model is based on perceptual studies and encompasses several parameters that modulate multimodal behaviours. The second feature, the model of complex expressions, follows a componential approach where a new expression is obtained by combining facial areas of other expressions. Lately we have been working on adding temporal dynamism to expressions. So far they have been designed statically, typically at their apex. Only full-blown expressions could be modelled. To overcome this limitation, we have defined a representation scheme that describes the temporal evolution of the expression of an emotion. It is no longer represented by a static definition but by a temporally ordered sequence of multimodal signals. PMID:19884148

  7. Novel technique for mode selection in a multimode fiber laser.

    PubMed

    Daniel, J M O; Chan, J S P; Kim, J W; Sahu, J K; Ibsen, M; Clarkson, W A

    2011-06-20

    A simple technique for transverse mode selection in a large-mode-area (multimode) fiber laser is described. The technique exploits the different spectral responses of feedback elements based on a fiber Bragg grating and a volume Bragg grating to achieve wavelength-dependent mode filtering. This approach has been applied to a cladding-pumped thulium-doped fiber laser with a multimode core to achieve a single-spatial-mode output beam with a beam propagation factor (M2) of 1.05 at 1923 nm. Without mode selection the free-running fiber laser has a multimode output beam with an M2 parameter of 3.3. Selective excitation of higher order modes is also possible via the technique and preliminary results for laser oscillation on the LP11 mode are also discussed along with the prospects for scaling to higher power levels.

  8. Multimode guidance project low frequency ECM simulator: Hardware description

    NASA Astrophysics Data System (ADS)

    Kaye, H. M.

    1982-10-01

    The Multimode Guidance(MMG) Project, part of the Army/Navy Area Defense SAM Technology Prototyping Program, was established to conduct a feasibility demonstration of multimode guidance concepts. Prototype guidance units for advanced, long range missiles are being built and tested under MMG Project sponsorship. The Johns Hopkins University Applied Physics Laboratory has been designated as Government Agent for countermeasures for this project. In support of this effort, a family of computer-controlled ECM simulators is being developed for validation of contractor's multimode guidance prototype designs. The design of the Low Frequency ECM Simulator is documented in two volumes. This report, Volume A, describes the hardware design of the simulator; Volume B describes the software design. This computer-controlled simulator can simulate up to six surveillance frequency jammers in B through F bands and will be used to evaluate the performance of home-on-jamming guidance modes in multiple jammer environments.

  9. Joint sparse representation for robust multimodal biometrics recognition.

    PubMed

    Shekhar, Sumit; Patel, Vishal M; Nasrabadi, Nasser M; Chellappa, Rama

    2014-01-01

    Traditional biometric recognition systems rely on a single biometric signature for authentication. While the advantage of using multiple sources of information for establishing the identity has been widely recognized, computational models for multimodal biometrics recognition have only recently received attention. We propose a multimodal sparse representation method, which represents the test data by a sparse linear combination of training data, while constraining the observations from different modalities of the test subject to share their sparse representations. Thus, we simultaneously take into account correlations as well as coupling information among biometric modalities. A multimodal quality measure is also proposed to weigh each modality as it gets fused. Furthermore, we also kernelize the algorithm to handle nonlinearity in data. The optimization problem is solved using an efficient alternative direction method. Various experiments show that the proposed method compares favorably with competing fusion-based methods.

  10. Object recognition through a multi-mode fiber

    NASA Astrophysics Data System (ADS)

    Takagi, Ryosuke; Horisaki, Ryoichi; Tanida, Jun

    2017-02-01

    We present a method of recognizing an object through a multi-mode fiber. A number of speckle patterns transmitted through a multi-mode fiber are provided to a classifier based on machine learning. We experimentally demonstrated binary classification of face and non-face targets based on the method. The measurement process of the experimental setup was random and nonlinear because a multi-mode fiber is a typical strongly scattering medium and any reference light was not used in our setup. Comparisons between three supervised learning methods, support vector machine, adaptive boosting, and neural network, are also provided. All of those learning methods achieved high accuracy rates at about 90% for the classification. The approach presented here can realize a compact and smart optical sensor. It is practically useful for medical applications, such as endoscopy. Also our study indicated a promising utilization of artificial intelligence, which has rapidly progressed, for reducing optical and computational costs in optical sensing systems.

  11. Multimodal imaging in a case of deferoxamine induced maculopathy

    PubMed Central

    Gelman, Rony; Kiss, Szilard; Tsang, Stephen H.

    2014-01-01

    Purpose To report a case of deferoxomine induced maculopathy and present the use of multimodal retinal imaging to study this disease entity. Methods Observational case report of one patient. Multimodal imaging with fundus autofluorescence (FAF), infrared imaging (IR), and spectral-domain optical coherence tomography (SD-OCT) was used to investigate the macular changes induced by deferoxamine toxicity. Results A 53 year-old male with a history of beta-thalassemia presented with decreased vision in both eyes one month after initiating deferoxamine therapy. IR imaging showed areas of increased stippled infrared intensity through the macula. FAF revealed diffuse areas of stippled hyperautofluorescence and hypoautofluorescence. SD-OCT changes included disruption of the ellipsoid zone, attenuation of the photoreceptors, and deposits within the retinal pigment epithelium. Conclusions We describe a case of deferoxomine induced maculopathy and present the use of multimodal retinal imaging to study this disease entity. PMID:25372534

  12. A Multimodal User Authentication System Using Faces and Gestures

    PubMed Central

    Choi, Hyunsoek; Park, Hyeyoung

    2015-01-01

    As a novel approach to perform user authentication, we propose a multimodal biometric system that uses faces and gestures obtained from a single vision sensor. Unlike typical multimodal biometric systems using physical information, the proposed system utilizes gesture video signals combined with facial images. Whereas physical information such as face, fingerprints, and iris is fixed and not changeable, behavioral information such as gestures and signatures can be freely changed by the user, similar to a password. Therefore, it can be a countermeasure when the physical information is exposed. We aim to investigate the potential possibility of using gestures as a signal for biometric system and the robustness of the proposed multimodal user authentication system. Through computational experiments on a public database, we confirm that gesture information can help to improve the authentication performance. PMID:26247018

  13. Students' Multimodal Construction of the Work-Energy Concept

    NASA Astrophysics Data System (ADS)

    Tang, Kok-Sing; Chee Tan, Seng; Yeo, Jennifer

    2011-09-01

    This article examines the role of multimodalities in representing the concept of work-energy by studying the collaborative discourse of a group of ninth-grade physics students engaging in an inquiry-based instruction. Theorising a scientific concept as a network of meaning relationships across semiotic modalities situated in human activity, this article analyses the students' interactions through their use of natural language, mathematical symbolism, depiction, and gestures, and examines the intertextual meanings made through the integration of these modalities. Results indicate that the thematic integration of multimodalities is both difficult and necessary for students in order to construct a scientific understanding that is congruent with the physics curriculum. More significantly, the difficulties in multimodal integration stem from the subtle differences in the categorical, quantitative, and spatial meanings of the work-energy concept whose contrasts are often not made explicit to the students. The implications of these analyses and findings for science teaching and educational research are discussed.

  14. A Multi-Sample Standoff Multimodal Biometric System

    SciTech Connect

    Barstow, Del R; Patlolla, Dilip Reddy; Mann, Christopher J; Boehnen, Chris Bensing

    2012-01-01

    Abstract The data captured by existing standoff biometric systems typically has lower biometric recognition performance than their close range counterparts due to imaging challenges, pose challenges, and other factors. To assist in overcoming these limitations systems typically perform in a multi-modal capacity such as Honeywell s Combined Face and Iris (CFAIRS) [21] system. While this improves the systems performance, standoff systems have yet to be proven as accurate as their close range equivalents. We will present a standoff system capable of operating up to 7 meters in range. Unlike many systems such as the CFAIRS our system captures high quality 12 MP video allowing for a multi-sample as well as multi-modal comparison. We found that for standoff systems multi-sample improved performance more than multi-modal. For a small test group of 50 subjects we were able to achieve 100% rank one recognition performance with our system.

  15. Multimode model for projective photon-counting measurements

    SciTech Connect

    Tualle-Brouri, Rosa; Ourjoumtsev, Alexei; Dantan, Aurelien; Grangier, Philippe; Wubs, Martijn; Soerensen, Anders S.

    2009-07-15

    We present a general model to account for the multimode nature of the quantum electromagnetic field in projective photon-counting measurements. We focus on photon-subtraction experiments, where non-Gaussian states are produced conditionally. These are useful states for continuous-variable quantum-information processing. We present a general method called mode reduction that reduces the multimode model to an effective two-mode problem. We apply this method to a multimode model describing broadband parametric down-conversion, thereby improving the analysis of existing experimental results. The main improvement is that spatial and frequency filters before the photon detector are taken into account explicitly. We find excellent agreement with previously published experimental results, using fewer free parameters than before, and discuss the implications of our analysis for the optimized production of states with negative Wigner functions.

  16. Quantitative multimodality imaging in cancer research and therapy.

    PubMed

    Yankeelov, Thomas E; Abramson, Richard G; Quarles, C Chad

    2014-11-01

    Advances in hardware and software have enabled the realization of clinically feasible, quantitative multimodality imaging of tissue pathophysiology. Earlier efforts relating to multimodality imaging of cancer have focused on the integration of anatomical and functional characteristics, such as PET-CT and single-photon emission CT (SPECT-CT), whereas more-recent advances and applications have involved the integration of multiple quantitative, functional measurements (for example, multiple PET tracers, varied MRI contrast mechanisms, and PET-MRI), thereby providing a more-comprehensive characterization of the tumour phenotype. The enormous amount of complementary quantitative data generated by such studies is beginning to offer unique insights into opportunities to optimize care for individual patients. Although important technical optimization and improved biological interpretation of multimodality imaging findings are needed, this approach can already be applied informatively in clinical trials of cancer therapeutics using existing tools. These concepts are discussed herein.

  17. Multimodality Image Fusion-Guided Procedures: Technique, Accuracy, and Applications

    SciTech Connect

    Abi-Jaoudeh, Nadine; Kruecker, Jochen; Kadoury, Samuel; Kobeiter, Hicham; Venkatesan, Aradhana M. Levy, Elliot Wood, Bradford J.

    2012-10-15

    Personalized therapies play an increasingly critical role in cancer care: Image guidance with multimodality image fusion facilitates the targeting of specific tissue for tissue characterization and plays a role in drug discovery and optimization of tailored therapies. Positron-emission tomography (PET), magnetic resonance imaging (MRI), and contrast-enhanced computed tomography (CT) may offer additional information not otherwise available to the operator during minimally invasive image-guided procedures, such as biopsy and ablation. With use of multimodality image fusion for image-guided interventions, navigation with advanced modalities does not require the physical presence of the PET, MRI, or CT imaging system. Several commercially available methods of image-fusion and device navigation are reviewed along with an explanation of common tracking hardware and software. An overview of current clinical applications for multimodality navigation is provided.

  18. Content-based TV sports video retrieval using multimodal analysis

    NASA Astrophysics Data System (ADS)

    Yu, Yiqing; Liu, Huayong; Wang, Hongbin; Zhou, Dongru

    2003-09-01

    In this paper, we propose content-based video retrieval, which is a kind of retrieval by its semantical contents. Because video data is composed of multimodal information streams such as video, auditory and textual streams, we describe a strategy of using multimodal analysis for automatic parsing sports video. The paper first defines the basic structure of sports video database system, and then introduces a new approach that integrates visual stream analysis, speech recognition, speech signal processing and text extraction to realize video retrieval. The experimental results for TV sports video of football games indicate that the multimodal analysis is effective for video retrieval by quickly browsing tree-like video clips or inputting keywords within predefined domain.

  19. "Multimodal Contrast" from the Multivariate Analysis of Hyperspectral CARS Images

    NASA Astrophysics Data System (ADS)

    Tabarangao, Joel T.

    The typical contrast mechanism employed in multimodal CARS microscopy involves the use of other nonlinear imaging modalities such as two-photon excitation fluorescence (TPEF) microscopy and second harmonic generation (SHG) microscopy to produce a molecule-specific pseudocolor image. In this work, I explore the use of unsupervised multivariate statistical analysis tools such as Principal Component Analysis (PCA) and Vertex Component Analysis (VCA) to provide better contrast using the hyperspectral CARS data alone. Using simulated CARS images, I investigate the effects of the quadratic dependence of CARS signal on concentration on the pixel clustering and classification and I find that a normalization step is necessary to improve pixel color assignment. Using an atherosclerotic rabbit aorta test image, I show that the VCA algorithm provides pseudocolor contrast that is comparable to multimodal imaging, thus showing that much of the information gleaned from a multimodal approach can be sufficiently extracted from the CARS hyperspectral stack itself.

  20. Driver drowsiness detection using multimodal sensor fusion

    NASA Astrophysics Data System (ADS)

    Andreeva, Elena O.; Aarabi, Parham; Philiastides, Marios G.; Mohajer, Keyvan; Emami, Majid

    2004-04-01

    This paper proposes a multi-modal sensor fusion algorithm for the estimation of driver drowsiness. Driver sleepiness is believed to be responsible for more than 30% of passenger car accidents and for 4% of all accident fatalities. In commercial vehicles, drowsiness is blamed for 58% of single truck accidents and 31% of commercial truck driver fatalities. This work proposes an innovative automatic sleep-onset detection system. Using multiple sensors, the driver"s body is studied as a mechanical structure of springs and dampeners. The sleep-detection system consists of highly sensitive triple-axial accelerometers to monitor the driver"s upper body in 3-D. The subject is modeled as a linear time-variant (LTV) system. An LMS adaptive filter estimation algorithm generates the transfer function (i.e. weight coefficients) for this LTV system. Separate coefficients are generated for the awake and asleep states of the subject. These coefficients are then used to train a neural network. Once trained, the neural network classifies the condition of the driver as either awake or asleep. The system has been tested on a total of 8 subjects. The tests were conducted on sleep-deprived individuals for the sleep state and on fully awake individuals for the awake state. When trained and tested on the same subject, the system detected sleep and awake states of the driver with a success rate of 95%. When the system was trained on three subjects and then retested on a fourth "unseen" subject, the classification rate dropped to 90%. Furthermore, it was attempted to correlate driver posture and sleepiness by observing how car vibrations propagate through a person"s body. Eight additional subjects were studied for this purpose. The results obtained in this experiment proved inconclusive which was attributed to significant differences in the individual habitual postures.

  1. Quantitative multimodal multiparametric imaging in Alzheimer's disease.

    PubMed

    Zhao, Qian; Chen, Xueqi; Zhou, Yun

    2016-03-01

    Alzheimer's disease (AD) is a progressive neurodegenerative disorder, causing changes in memory, thinking, and other dysfunction of brain functions. More and more people are suffering from the disease. Early neuroimaging techniques of AD are needed to develop. This review provides a preliminary summary of the various neuroimaging techniques that have been explored for in vivo imaging of AD. Recent advances in magnetic resonance (MR) techniques, such as functional MR imaging (fMRI) and diffusion MRI, give opportunities to display not only anatomy and atrophy of the medial temporal lobe, but also at microstructural alterations or perfusion disturbance within the AD lesions. Positron emission tomography (PET) imaging has become the subject of intense research for the diagnosis and facilitation of drug development of AD in both animal models and human trials due to its non-invasive and translational characteristic. Fluorodeoxyglucose (FDG) PET and amyloid PET are applied in clinics and research departments. Amyloid beta (Aβ) imaging using PET has been recognized as one of the most important methods for the early diagnosis of AD, and numerous candidate compounds have been tested for Aβ imaging. Besides in vivo imaging method, a lot of ex vivo modalities are being used in the AD researches. Multiphoton laser scanning microscopy, neuroimaging of metals, and several metal bioimaging methods are also mentioned here. More and more multimodality and multiparametric neuroimaging techniques should improve our understanding of brain function and open new insights into the pathophysiology of AD. We expect exciting results will emerge from new neuroimaging applications that will provide scientific and medical benefits.

  2. Multimodality Local Therapy for Retroperitoneal Sarcoma

    SciTech Connect

    Paryani, Nitesh N.; Zlotecki, Robert A.; Swanson, Erika L.; Morris, Christopher G.; Grobmyer, Stephen R.; Hochwald, Steven N.; Marcus, Robert B.; Indelicato, Daniel J.

    2012-03-01

    Purpose: Soft-tissue sarcomas of the retroperitoneum are rare tumors comprising less than 1% of all malignancies. Although surgery continues as the mainstay of treatment, the large size of these tumors coupled with their proximity to critical structures make resection with wide margins difficult to achieve. The role and timing of radiotherapy are controversial. This study updates our institutional experience using multimodality local therapy for resectable retroperitoneal sarcoma and identifies prognostic factors impacting disease control and survival. Methods and Materials: Between 1974 and 2007, 58 patients with nonmetastatic retroperitoneal sarcoma were treated with surgery and radiation at University of Florida. The median age at radiotherapy was 57 years old (range, 18-80 years). Forty-two patients received preoperative radiotherapy and 16 received postoperative radiotherapy. Nineteen patients received 1.8 Gy once daily and 39 patients received 1.2 Gy twice daily. Variables analyzed for prognostic value included age, grade, kidney involvement, histology, de novo versus recurrent presentation, tumor diameter, margin status, radiotherapy sequencing (preoperative vs. postoperative), total radiation dose, fractionation scheme, and treatment era. Results: The 5-year overall survival, cause-specific survival, and local control rates were 49%, 58%, and 62%, respectively. Nearly two-thirds of disease failures involved a component of local progression. On multivariate analysis, only margin status was significantly associated with improved 5-year local control (85%, negative margins; 63%, microscopic positive margins; 0%, gross positive margins; p < 0.0001) and 5-year overall survival (64%, negative margins; 56%, microscopic positive margins; 13%, gross positive margins; p = 0.0012). Thirty-one Grade 3 or greater toxicities were observed in 22 patients, including two treatment-related deaths (3%). Conclusion: For retroperitoneal sarcoma, local control remains a

  3. Multimodal evaluation of the amygdala's functional connectivity.

    PubMed

    Kerestes, Rebecca; Chase, Henry W; Phillips, Mary L; Ladouceur, Cecile D; Eickhoff, Simon B

    2017-01-09

    The amygdala is one of the most extensively studied human brain regions and undisputedly plays a central role in many psychiatric disorders. However, an outstanding question is whether connectivity of amygdala subregions, specifically the centromedial (CM), laterobasal (LB) and superficial (SF) nuclei, are modulated by brain state (i.e., task vs. rest). Here, using a multimodal approach, we directly compared meta-analytic connectivity modeling (MACM) and specific co-activation likelihood estimation (SCALE)-derived estimates of CM, LB and SF task-based co-activation to the functional connectivity of these nuclei as assessed by resting state fmri (rs-fmri). Finally, using a preexisting resting state functional connectivity-derived cortical parcellation, we examined both MACM and rs-fmri amygdala subregion connectivity with 17 large-scale networks, to explicitly address how the amygdala interacts with other large-scale neural networks. Analyses revealed strong differentiation of CM, LB and SF connectivity patterns with other brain regions, both in task-dependent and task-independent contexts. All three regions, however, showed convergent connectivity with the right ventrolateral prefrontal cortex (VLPFC) that was not driven by high base rate levels of activation. Similar patterns of connectivity across rs-fmri and MACM were observed for each subregion, suggesting a similar network architecture of amygdala connectivity with the rest of the brain across tasks and resting state for each subregion, that may be modified in the context of specific task demands. These findings support animal models that posit a parallel model of amygdala functioning, but importantly, also modify this position to suggest integrative processing in the amygdala.

  4. Multimodal cues improve prey localization under complex environmental conditions

    PubMed Central

    Rhebergen, F.; Taylor, R. C.; Ryan, M. J.; Page, R. A.; Halfwerk, W.

    2015-01-01

    Predators often eavesdrop on sexual displays of their prey. These displays can provide multimodal cues that aid predators, but the benefits in attending to them should depend on the environmental sensory conditions under which they forage. We assessed whether bats hunting for frogs use multimodal cues to locate their prey and whether their use varies with ambient conditions. We used a robotic set-up mimicking the sexual display of a male túngara frog (Physalaemus pustulosus) to test prey assessment by fringe-lipped bats (Trachops cirrhosus). These predatory bats primarily use sound of the frog's call to find their prey, but the bats also use echolocation cues returning from the frog's dynamically moving vocal sac. In the first experiment, we show that multimodal cues affect attack behaviour: bats made narrower flank attack angles on multimodal trials compared with unimodal trials during which they could only rely on the sound of the frog. In the second experiment, we explored the bat's use of prey cues in an acoustically more complex environment. Túngara frogs often form mixed-species choruses with other frogs, including the hourglass frog (Dendropsophus ebraccatus). Using a multi-speaker set-up, we tested bat approaches and attacks on the robofrog under three different levels of acoustic complexity: no calling D. ebraccatus males, two calling D. ebraccatus males and five D. ebraccatus males. We found that bats are more directional in their approach to the robofrog when more D. ebraccatus males were calling. Thus, bats seemed to benefit more from multimodal cues when confronted with increased levels of acoustic complexity in their foraging environments. Our data have important consequences for our understanding of the evolution of multimodal sexual displays as they reveal how environmental conditions can alter the natural selection pressures acting on them. PMID:26336176

  5. Multimodal cues improve prey localization under complex environmental conditions.

    PubMed

    Rhebergen, F; Taylor, R C; Ryan, M J; Page, R A; Halfwerk, W

    2015-09-07

    Predators often eavesdrop on sexual displays of their prey. These displays can provide multimodal cues that aid predators, but the benefits in attending to them should depend on the environmental sensory conditions under which they forage. We assessed whether bats hunting for frogs use multimodal cues to locate their prey and whether their use varies with ambient conditions. We used a robotic set-up mimicking the sexual display of a male túngara frog (Physalaemus pustulosus) to test prey assessment by fringe-lipped bats (Trachops cirrhosus). These predatory bats primarily use sound of the frog's call to find their prey, but the bats also use echolocation cues returning from the frog's dynamically moving vocal sac. In the first experiment, we show that multimodal cues affect attack behaviour: bats made narrower flank attack angles on multimodal trials compared with unimodal trials during which they could only rely on the sound of the frog. In the second experiment, we explored the bat's use of prey cues in an acoustically more complex environment. Túngara frogs often form mixed-species choruses with other frogs, including the hourglass frog (Dendropsophus ebraccatus). Using a multi-speaker set-up, we tested bat approaches and attacks on the robofrog under three different levels of acoustic complexity: no calling D. ebraccatus males, two calling D. ebraccatus males and five D. ebraccatus males. We found that bats are more directional in their approach to the robofrog when more D. ebraccatus males were calling. Thus, bats seemed to benefit more from multimodal cues when confronted with increased levels of acoustic complexity in their foraging environments. Our data have important consequences for our understanding of the evolution of multimodal sexual displays as they reveal how environmental conditions can alter the natural selection pressures acting on them.

  6. Multimodality imaging assessment for Thoraflex hybrid total arch replacement.

    PubMed

    Wong, Randolph Hl; Ho, Jacky Yk; Underwood, Malcolm J

    2016-06-01

    Conventionally, aortic pathologies involving the ascending, arch, and descending thoracic aorta are treated by a staged operation. The Thoraflex device is a composite 4-branched graft with a distal endovascular stent, which allows one-stage treatment of these pathologies. We describe our multimodality hybrid approach for total arch replacement using the Thoraflex device with the adjunct of intraoperative 3-dimensional transesophageal echocardiography, Endo-EYE endoscopy, and on-table aortography in a hybrid operating room. These multimodality assessments can ascertain adequate sealing of a distal aortic tear and proper opening of the endograft, and provide on-table functional assessment of false lumen hemodynamics. Early results are promising.

  7. Design, Performance and Optimization for Multimodal Radar Operation

    PubMed Central

    Bhat, Surendra S.; Narayanan, Ram M.; Rangaswamy, Muralidhar

    2012-01-01

    This paper describes the underlying methodology behind an adaptive multimodal radar sensor that is capable of progressively optimizing its range resolution depending upon the target scattering features. It consists of a test-bed that enables the generation of linear frequency modulated waveforms of various bandwidths. This paper discusses a theoretical approach to optimizing the bandwidth used by the multimodal radar. It also discusses the various experimental results obtained from measurement. The resolution predicted from theory agrees quite well with that obtained from experiments for different target arrangements.

  8. A 4MM-Wave composite mode multimode conical feedhorn

    NASA Astrophysics Data System (ADS)

    Lin, Zhisheng; Du, Zhengmi; Chen, Shener

    1996-10-01

    A 4MM-Wave composite mode multimode conical feedhorn has been developed. Its mode-ratios are calculated and its formulas of the radiation patterns are derived. The measurement results of one and two dimension radiation patterns, measured by the automatic measurement system which we had researched, and the properties of band width and sidelobe are given. Theoretical analyses and measurements show that at the centre frequency 69.1GHZ, down to -23dB, the radiation pattern is rotationally symmetric, in this range there is not any sidelobe existing, the band width is 4.5 GHZ. The multimode feedhorn is thus of certain practical using value.

  9. Multi-modality neuro-monitoring: conventional clinical trial design.

    PubMed

    Georgiadis, Alexandros L; Palesch, Yuko Y; Zygun, David; Hemphill, J Claude; Robertson, Claudia S; Leroux, Peter D; Suarez, Jose I

    2015-06-01

    Multi-modal monitoring has become an integral part of neurointensive care. However, our approach is at this time neither standardized nor backed by data from randomized controlled trials. The goal of the second Neurocritical Care Research Conference was to discuss research priorities in multi-modal monitoring, what research tools are available, as well as the latest advances in clinical trial design. This section of the meeting was focused on how such a trial should be designed so as to maximize yield and avoid mistakes of the past.

  10. Osm-Oriented Method of Multimodal Route Planning

    NASA Astrophysics Data System (ADS)

    Li, X.; Wu, Q.; Chen, L.; Xiong, W.; Jing, N.

    2015-07-01

    With the increasing pervasiveness of basic facilitate of transportation and information, the need of multimodal route planning is becoming more essential in the fields of communication and transportation, urban planning, logistics management, etc. This article mainly described an OSM-oriented method of multimodal route planning. Firstly, it introduced how to extract the information we need from OSM data and build proper network model and storage model; then it analysed the accustomed cost standard adopted by most travellers; finally, we used shortest path algorithm to calculate the best route with multiple traffic means.

  11. Multimodal medical information retrieval with unsupervised rank fusion.

    PubMed

    Mourão, André; Martins, Flávio; Magalhães, João

    2015-01-01

    Modern medical information retrieval systems are paramount to manage the insurmountable quantities of clinical data. These systems empower health care experts in the diagnosis of patients and play an important role in the clinical decision process. However, the ever-growing heterogeneous information generated in medical environments poses several challenges for retrieval systems. We propose a medical information retrieval system with support for multimodal medical case-based retrieval. The system supports medical information discovery by providing multimodal search, through a novel data fusion algorithm, and term suggestions from a medical thesaurus. Our search system compared favorably to other systems in 2013 ImageCLEFMedical.

  12. Vaccine-enhanced artificial immune system for multimodal function optimization.

    PubMed

    Woldemariam, Kumlachew M; Yen, Gary G

    2010-02-01

    This paper emulates a biological notion in vaccines to promote exploration in the search space for solving multimodal function optimization problems using artificial immune systems (AISs). In this method, we first divide the decision space into equal subspaces. The vaccine is then randomly extracted from each subspace. A few of these vaccines, in the form of weakened antigens, are then injected into the algorithm to enhance the exploration of global and local optima. The goal of this process is to lead the antibodies to unexplored areas. Using this biologically motivated notion, we design the vaccine-enhanced AIS for multimodal function optimization, achieving promising performance.

  13. Interference of speckle patterns projected by multimode fibers

    NASA Astrophysics Data System (ADS)

    Lomer, M.; Rodriguez-Cobo, L.; Madruga, F.; Lopez-Higuera, J. M.

    2015-08-01

    In this paper, the interference speckle patterns generated by multimode optical fibers are described. In our experience two types of interference are present, random interference between modes propagated in the fiber that give rise to speckle pattern, and not random speckle interference patterns using a Michelson interferometer generating a pattern of conventional interference. Multimode fibers using different materials and core radii have been obtained interference patterns quality characteristic reducing the effects of modal noise in fiber speckle patterns. Experimental results and their potential applications are presented.

  14. Multimode fiber focusing lens based on plasmonic structures

    NASA Astrophysics Data System (ADS)

    Xu, Yihang; Lu, Yongjiao; Zhu, Zheng; Shi, Jinhui; Guan, Chunying; Yuan, Libo

    2016-10-01

    In the present work, a compact all-fiber plasmonic focusing beam generator with single and multiple spots is proposed and demonstrated in a conventional multimode fiber. Here, the focusing beam generator is composed of air slit arrays perforated through the gold films deposited on the end facet of a multimode fiber. The array of nanoscale slits with varying widths is used to modulate phase distribution of the focused light. An all-fiber focusing beam generator provides many advantages, such as self-alignment, high flexibility, lower insert loss, and easy portability, which is of importance to realize optical trapping, micromanipulation, beam shaping, and fiber integrated devices.

  15. Experimental Study on Bioluminescence Tomography with Multimodality Fusion

    PubMed Central

    Lv, Yujie; Tian, Jie; Cong, Wenxiang; Wang, Ge

    2007-01-01

    To verify the influence of a priori information on the nonuniqueness problem of bioluminescence tomography (BLT), the multimodality imaging fusion based BLT experiment is performed by multiview noncontact detection mode, which incorporates the anatomical information obtained by the microCT scanner and the background optical properties based on diffuse reflectance measurements. In the reconstruction procedure, the utilization of adaptive finite element methods (FEMs) and a priori permissible source region refines the reconstructed results and improves numerical robustness and efficiency. The comparison between the absence and employment of a priori information shows that multimodality imaging fusion is essential to quantitative BLT reconstruction. PMID:18256736

  16. Identifying environmental sounds: a multimodal mapping study

    PubMed Central

    Tomasino, Barbara; Canderan, Cinzia; Marin, Dario; Maieron, Marta; Gremese, Michele; D'Agostini, Serena; Fabbro, Franco; Skrap, Miran

    2015-01-01

    Our environment is full of auditory events such as warnings or hazards, and their correct recognition is essential. We explored environmental sounds (ES) recognition in a series of studies. In study 1 we performed an Activation Likelihood Estimation (ALE) meta-analysis of neuroimaging experiments addressing ES processing to delineate the network of areas consistently involved in ES processing. Areas consistently activated in the ALE meta-analysis were the STG/MTG, insula/rolandic operculum, parahippocampal gyrus and inferior frontal gyrus bilaterally. Some of these areas truly reflect ES processing, whereas others are related to design choices, e.g., type of task, type of control condition, type of stimulus. In study 2 we report on 7 neurosurgical patients with lesions involving the areas which were found to be activated by the ALE meta-analysis. We tested their ES recognition abilities and found an impairment of ES recognition. These results indicate that deficits of ES recognition do not exclusively reflect lesions to the right or to the left hemisphere but both hemispheres are involved. The most frequently lesioned area is the hippocampus/insula/STG. We made sure that any impairment in ES recognition would not be related to language problems, but reflect impaired ES processing. In study 3 we carried out an fMRI study on patients (vs. healthy controls) to investigate how the areas involved in ES might be functionally deregulated because of a lesion. The fMRI evidenced that controls activated the right IFG, the STG bilaterally and the left insula. We applied a multimodal mapping approach and found that, although the meta-analysis showed that part of the left and right STG/MTG activation during ES processing might in part be related to design choices, this area was one of the most frequently lesioned areas in our patients, thus highlighting its causal role in ES processing. We found that the ROIs we drew on the two clusters of activation found in the left and in

  17. "Convince Me!" Valuing Multimodal Literacies and Composing Public Service Announcements

    ERIC Educational Resources Information Center

    Selfe, Richard J.; Selfe, Cynthia L.

    2008-01-01

    For some teachers, the increasing attention to digital and multimodal composing in English and Language Arts classrooms has brought into sharp relief the profession's investment in print as the primary means of expression. Although new forms of communication that combine words, still and moving images, and animation have begun to dominate digital…

  18. Reading Multimodal Texts: Perceptual, Structural and Ideological Perspectives

    ERIC Educational Resources Information Center

    Serafini, Frank

    2010-01-01

    This article presents a tripartite framework for analyzing multimodal texts. The three analytical perspectives presented include: (1) perceptual, (2) structural, and (3) ideological analytical processes. Using Anthony Browne's picturebook "Piggybook" as an example, assertions are made regarding what each analytical perspective brings to the…

  19. Multimodality and Immigrant Children (Response to Marni Binder)

    ERIC Educational Resources Information Center

    Campano, Gerald; Low, David

    2011-01-01

    This response to Marni Binder reflects upon two examples of (im)migrant children's artwork and challenges the dominant notion that (im)migration experiences--and their subsequent portrayals--can be fit into neat slots. The authors position multimodal composing opportunities as affording children a vital instrument for deploying their full semiotic…

  20. [Multimodal pain therapy in Germany: structure and quality].

    PubMed

    Casser, Hans-Raimund; Nagel, Bernd

    2016-01-01

    Multimodal Pain Management is a comprehensive treatment of complex chronic pain syndromes. In addition to medical therapy various other specialized therapeutical interventions based on the biopsychosocial model of pain origin and chronic pain development are added.Medical indications are given for patients with chronic pain syndromes, but also if there is an elevated risk of chronic pain in the early stadium of the disease and aiming at delaying the process of chronification. Multimodal pain management has been included in the official catalogue of the recognized medical procedure for day clinic units as well as for inpatients pain management. As there is still a lack of clarity and of consistency about the implementation of multimodal pain management the ad-hoc-Kommission on multimodal interdisciplinary pain management of the German Pain Society has proposed a position paper that has been worked out in a multilevel and interdisciplinary consensus process. Moreover a basic tool for documentation and quality management of pain therapy was developed by the German Pain Society (KEDOQ-Schmerz) as the data basis for nationwide, cross-sectional and independent scientific research in health services in Germany. In future KEDOQ-Schmerz will also used as a method for external quality management in chronic pain therapy in Germany.

  1. Berlin Kompass: Multimodal Gameful Empowerment for Foreign Language Learning

    ERIC Educational Resources Information Center

    Kallioniemi, Pekka; Posti, Laura-Pihkala; Hakulinen, Jaakko; Turunen, Markku; Keskinen, Tuuli; Raisamo, Roope

    2015-01-01

    This article presents an innovative, gameful, multimodal, and authentic learning environment for training of oral communication in a foreign language--a virtual adventure called Berlin Kompass. After a brief presentation of the pedagogical and technological backgrounds, the system is described. Central results of a series of pilots in autumn 2013…

  2. "Imaginings": Reflections on Plurilingual Students' Creative Multimodal Works

    ERIC Educational Resources Information Center

    Stille, Saskia; Prasad, Gail

    2015-01-01

    The purpose of this article is to illustrate the potential contribution of a multimodal approach to English language teaching and learning in the educational context. Collaborating with English as a second language (ESL) and classroom teachers to explore ways to improve pedagogy in multilingual, multicultural schools, the authors discovered many…

  3. Learning from Picturebooks: Reading and Writing Multimodally in First Grade

    ERIC Educational Resources Information Center

    Martens, Prisca; Martens, Ray; Doyle, Michelle Hassay; Loomis, Jenna; Aghalarov, Stacy

    2013-01-01

    This article shares the authors' work with first graders and how, through various reading, writing, and art experiences around picturebooks, the children learned to read and communicate through art along with written language. The work is grounded in multimodality theory and the belief that all modes (particularly art for the purposes of this…

  4. Utilizing Multi-Modal Literacies in Middle Grades Science

    ERIC Educational Resources Information Center

    Saurino, Dan; Ogletree, Tamra; Saurino, Penelope

    2010-01-01

    The nature of literacy is changing. Increased student use of computer-mediated, digital, and visual communication spans our understanding of adolescent multi-modal capabilities that reach beyond the traditional conventions of linear speech and written text in the science curriculum. Advancing technology opens doors to learning that involve…

  5. Multimodal imaging of lung cancer and its microenvironment (Conference Presentation)

    NASA Astrophysics Data System (ADS)

    Hariri, Lida P.; Niederst, Matthew J.; Mulvey, Hillary; Adams, David C.; Hu, Haichuan; Chico Calero, Isabel; Szabari, Margit V.; Vakoc, Benjamin J.; Hasan, Tayyaba; Bouma, Brett E.; Engelman, Jeffrey A.; Suter, Melissa J.

    2016-03-01

    Despite significant advances in targeted therapies for lung cancer, nearly all patients develop drug resistance within 6-12 months and prognosis remains poor. Developing drug resistance is a progressive process that involves tumor cells and their microenvironment. We hypothesize that microenvironment factors alter tumor growth and response to targeted therapy. We conducted in vitro studies in human EGFR-mutant lung carcinoma cells, and demonstrated that factors secreted from lung fibroblasts results in increased tumor cell survival during targeted therapy with EGFR inhibitor, gefitinib. We also demonstrated that increased environment stiffness results in increased tumor survival during gefitinib therapy. In order to test our hypothesis in vivo, we developed a multimodal optical imaging protocol for preclinical intravital imaging in mouse models to assess tumor and its microenvironment over time. We have successfully conducted multimodal imaging of dorsal skinfold chamber (DSC) window mice implanted with GFP-labeled human EGFR mutant lung carcinoma cells and visualized changes in tumor development and microenvironment facets over time. Multimodal imaging included structural OCT to assess tumor viability and necrosis, polarization-sensitive OCT to measure tissue birefringence for collagen/fibroblast detection, and Doppler OCT to assess tumor vasculature. Confocal imaging was also performed for high-resolution visualization of EGFR-mutant lung cancer cells labeled with GFP, and was coregistered with OCT. Our results demonstrated that stromal support and vascular growth are essential to tumor progression. Multimodal imaging is a useful tool to assess tumor and its microenvironment over time.

  6. An Examination of ESL Taiwanese University Students' Multimodal Reading Responses

    ERIC Educational Resources Information Center

    Lee, Hsiao-Chien

    2013-01-01

    This article reports an empirical study conducted in a Taiwanese English as a second language university class. Reader response theory is the theoretical framework guiding the study. Fifty-nine university students were encouraged to collaboratively create multimodal responses to a classic English reading. Taking an aesthetic reading stance, the…

  7. Podcasting and Performativity: Multimodal Invention in an Advanced Writing Class

    ERIC Educational Resources Information Center

    Jones, Leigh A.

    2010-01-01

    This article points composition scholars toward two bodies of theory that are gaining attention in our discipline, performance studies and multimodal discourse theory. Each raises important questions about the ways we teach writing, the kinds of composition processes we value, and the means by which students construct authority in the university.…

  8. Promoting Multilingual Communicative Competence through Multimodal Academic Learning Situations

    ERIC Educational Resources Information Center

    Kyppö, Anna; Natri, Teija

    2016-01-01

    This paper presents information on the factors affecting the development of multilingual and multicultural communicative competence in interactive multimodal learning environments in an academic context. The interdisciplinary course in multilingual interaction offered at the University of Jyväskylä aims to enhance students' competence in…

  9. Multimodal Composition and the Common Core State Standards

    ERIC Educational Resources Information Center

    Dalton, Bridget

    2013-01-01

    The Common Core State Standards call for an expanded view of literacy instruction, one where children learn to critically consume and produce text using technology and media. This article describes how a Digital Writers' Workshop can be a vehicle for integrating multimodal composition into the classroom. It offers general workshop principles and…

  10. Multimodal Counseling of Childhood Encopresis: A Case Example.

    ERIC Educational Resources Information Center

    Gumaer, Jim

    1990-01-01

    Provides information regarding childhood disorder of encopresis and presents multimodal therapy techniques for school counselors who cannot successfully refer clients. Presents a case study of a teenage boy suffering from encopresis who was referred for counseling. Suggests specific treatment strategies including behavior modification, nutrition…

  11. Learning to Teach Generative Meaning-Making through Multimodal Inquiry

    ERIC Educational Resources Information Center

    Loretto, Adam; Chisholm, James S.

    2012-01-01

    This classroom narrative describes the transformation of one beginning English/language arts (ELA) teacher's perspective and practice as the teacher enacted multimodal inquiry activities that were the focus of both traditional and action research projects. Drawing on field notes, transcripts of classroom discourse, and student-produced artefacts,…

  12. "Rap Universal": Using Multimodal Media Production to Develop ICT Literacies

    ERIC Educational Resources Information Center

    Turner, K. C. Nat

    2011-01-01

    Through a multimodal media production literacy intervention in an extended-day program, culturally and linguistically diverse youth developed valuable information and communication technology literacies, including: (1) Specific how-to skills useful in future academic, professional, social, and civic contexts; (2) Abilities to critically interpret…

  13. Drawing Near and Pushing Away: Critical Positioning in Multimodal Composition

    ERIC Educational Resources Information Center

    Doerr-Stevens, Candance

    2016-01-01

    As the tools and modes of literate practice continually emerge, so too must our critical approaches to understanding their expression. While media production has been praised for its potential to provide youth a voice to challenge dominant narratives, various questions remain as to what happens at the multimodal levels of composition in terms of…

  14. Border Crossings and Multimodal Composition in the Arts

    ERIC Educational Resources Information Center

    Morrison, Andrew

    2005-01-01

    Developmental and development-oriented learning with digital media are discussed in relation to the concepts border crossings and multimodal composition. The first concept refers to a transveral of disciplines and recombinations of elements from them. Local-global relations in knowledge building are covered. The second refers to the collaborative…

  15. Transnational Children Orchestrating Competing Voices in Multimodal, Digital Autobiographies

    ERIC Educational Resources Information Center

    Pandya, Jessica Zacher; Pagdilao, Kathleah Consul; Kim, Enok Aeloch

    2015-01-01

    Background/Context: Prior research on multimodal, digital composition has highlighted the need for educators to bring such practices into classrooms, yet little research has been done to show what kinds of products children create and what those products can tell us as researchers about how children articulate their life experiences. We draw on…

  16. A Springboard Rather than a Bridge: Diving into Multimodal Literacy

    ERIC Educational Resources Information Center

    Graham, Meadow Sherrill; Benson, Sheila

    2010-01-01

    In the authors' experience as teacher educators, many preservice teachers view literacy as a print-bound process. With multimodal literacy becoming more important as many states push for 21st-century learning standards, the authors are always looking for ways to help students break their concepts of literacy away from the printed page. As they…

  17. Designing Is Learning: An Investigation of Designing Multimodal Texts

    ERIC Educational Resources Information Center

    Hall, Matthew

    2013-01-01

    This qualitative study analyzed the meaning-making practices of urban adolescents participating in a college preparatory program featuring philosophical inquiry into cosmopolitanism and the creation of multimodal texts. In contrast to studies of composing that focus on individual outcomes, this dissertation traced group meaning making. The study…

  18. Connecting, Creating and Composing: A Shared Multimodal Journey

    ERIC Educational Resources Information Center

    Krause, Margaret B.

    2015-01-01

    Given the dynamic nature of our society, literacy conceptualizations are constantly being redefined. While print literacy continues to be the primary literacy within elementary classroom, the growing nature of technological capabilities, social networking, and multimodal affordances require educators to delve into explorations of how children can…

  19. Ultrasonic Motors Using Piezoelectric Ceramic Multi-Mode Vibrators

    NASA Astrophysics Data System (ADS)

    Takano, Takehiro; Tomikawa, Yoshiro; Ogasawara, Toshiharu; Sugawara, Sumio; Konnon, Masashi

    1988-01-01

    The purpose of this paper is to report development of an ultrasonic motor using piezoelectric ceramic multi-mode vibrators of circular or annular plates, in which degenerate horizontal vibration modes of the same or different form are used. Some constructions of the motor and its experimental characteristics are presented. The ultrasonic motor investigated herein shows special merit in its thin construction.

  20. Discrimination of skin diseases using the multimodal imaging approach

    NASA Astrophysics Data System (ADS)

    Vogler, N.; Heuke, S.; Akimov, D.; Latka, I.; Kluschke, F.; Röwert-Huber, H.-J.; Lademann, J.; Dietzek, B.; Popp, J.

    2012-06-01

    Optical microspectroscopic tools reveal great potential for dermatologic diagnostics in the clinical day-to-day routine. To enhance the diagnostic value of individual nonlinear optical imaging modalities such as coherent anti-Stokes Raman scattering (CARS), second harmonic generation (SHG) or two-photon excited fluorescence (TPF), the approach of multimodal imaging has recently been developed. Here, we present an application of nonlinear optical multimodal imaging with Raman-scattering microscopy to study sizable human-tissue cross-sections. The samples investigated contain both healthy tissue and various skin tumors. This contribution details the rich information content, which can be obtained from the multimodal approach: While CARS microscopy, which - in contrast to spontaneous Raman-scattering microscopy - is not hampered by single-photon excited fluorescence, is used to monitor the lipid and protein distribution in the samples, SHG imaging selectively highlights the distribution of collagen structures within the tissue. This is due to the fact, that SHG is only generated in structures which lack inversion geometry. Finally, TPF reveals the distribution of autofluorophores in tissue. The combination of these techniques, i.e. multimodal imaging, allows for recording chemical images of large area samples and is - as this contribution will highlight - of high clinically diagnostic value.

  1. A simultaneous multimodal imaging system for tissue functional parameters

    NASA Astrophysics Data System (ADS)

    Ren, Wenqi; Zhang, Zhiwu; Wu, Qiang; Zhang, Shiwu; Xu, Ronald

    2014-02-01

    Simultaneous and quantitative assessment of skin functional characteristics in different modalities will facilitate diagnosis and therapy in many clinical applications such as wound healing. However, many existing clinical practices and multimodal imaging systems are subjective, qualitative, sequential for multimodal data collection, and need co-registration between different modalities. To overcome these limitations, we developed a multimodal imaging system for quantitative, non-invasive, and simultaneous imaging of cutaneous tissue oxygenation and blood perfusion parameters. The imaging system integrated multispectral and laser speckle imaging technologies into one experimental setup. A Labview interface was developed for equipment control, synchronization, and image acquisition. Advanced algorithms based on a wide gap second derivative reflectometry and laser speckle contrast analysis (LASCA) were developed for accurate reconstruction of tissue oxygenation and blood perfusion respectively. Quantitative calibration experiments and a new style of skinsimulating phantom were designed to verify the accuracy and reliability of the imaging system. The experimental results were compared with a Moor tissue oxygenation and perfusion monitor. For In vivo testing, a post-occlusion reactive hyperemia (PORH) procedure in human subject and an ongoing wound healing monitoring experiment using dorsal skinfold chamber models were conducted to validate the usability of our system for dynamic detection of oxygenation and perfusion parameters. In this study, we have not only setup an advanced multimodal imaging system for cutaneous tissue oxygenation and perfusion parameters but also elucidated its potential for wound healing assessment in clinical practice.

  2. Shrek Meets Vygotsky: Rethinking Adolescents' Multimodal Literacy Practices in Schools

    ERIC Educational Resources Information Center

    Mills, Kathy A.

    2010-01-01

    Recent research has emphasized the multimodal and digital nature of adolescent literacy practices. These practices cross multiple social spaces, particularly settings outside of schools. This article re-examines current research to yield three caveats that counter assumptions about the pervasiveness, relevance, and spontaneity of youths'…

  3. Comprehension Strategy Instruction for Multimodal Texts in Science

    ERIC Educational Resources Information Center

    Alvermann, Donna E.; Wilson, Amy Alexandra

    2011-01-01

    This article highlights examples from a middle-school science teacher's instruction using multimodal texts. Its importance lies in reconciling narrowed definitions of reading (and hence reading instruction) with the need to develop students' critical awareness as they engage with multiple sign systems, or semiotic resources, used for constructing…

  4. Multimodal MRI classification in vascular mild cognitive impairment.

    PubMed

    Diciotti, Stefano; Ciulli, Stefano; Ginestroni, Andrea; Salvadori, Emilia; Poggesi, Anna; Pantoni, Leonardo; Inzitari, Domenico; Mascalchi, Mario; Toschi, Nicola

    2015-08-01

    Vascular mild cognitive impairment (VMCI) is a disorder in which multimodal MRI can add significant value by combining diffusion tensor imaging (DTI) with brain morphometry. In this study we implemented and compared machine learning techniques for multimodal classification between 58 VMCI patients and 29 healthy subjects as well as for discrimination (within the VMCI group) between patients with different cognitive performances. For each subject, a cortical feature vector was constructed based on cortical parcellation and cortical and subcortical volumetric segmentation and a DTI feature vector was formed by combining descriptive statistical metrics related to the distribution of DTI invariants within white matter. We employed both a sequential minimal optimization and a functional tree classifier, using feature selection and 10-fold cross-validation, and compared their performances in monomodal and multimodal classification for both classification problems (healthy subjects vs VMCI and prediction of cognitive performance). While monomodal classification resulted in satisfactory performance in most cases, turning from monomodal to multimodal classification resulted in an improvement of the performance in the discrimination between VMCI patients with low cognitive performance and healthy subjects by up to 10% in sensitivity (leaving specificity unchanged). We therefore are able to confirm the usefulness of machine learning techniques in discriminating diseased states based on neuroimaging data.

  5. Multi-modal CT in Stroke Imaging: New Concepts

    PubMed Central

    Ledezma, Carlos J.; Wintermark, Max

    2009-01-01

    A multimodal CT protocol provides a comprehensive non-invasive survey of acute stroke patients with accurate demonstration of the site of arterial occlusion and its hemodynamic tissue status. It combines widespread availability with the ability to provide functional characterization of cerebral ischemia, and could potentially allow more accurate selection of candidates for acute stroke reperfusion therapy. PMID:19195537

  6. A Multimodal Neural Network Recruited by Expertise with Musical Notation

    ERIC Educational Resources Information Center

    Wong, Yetta Kwailing; Gauthier, Isabel

    2010-01-01

    Prior neuroimaging work on visual perceptual expertise has focused on changes in the visual system, ignoring possible effects of acquiring expert visual skills in nonvisual areas. We investigated expertise for reading musical notation, a skill likely to be associated with multimodal abilities. We compared brain activity in music-reading experts…

  7. A Sense of Audience in Young Children's Multimodal Information Books

    ERIC Educational Resources Information Center

    Dong, Hongmei

    2010-01-01

    Elementary children's sense of audience related to their multimodal information writing was examined. Forty-six third graders' interviews about the books that they created at the end of a science unit were analyzed to understand children's conception of audience, the connection between their sense of audience and their composing process, and their…

  8. Transmodal Redesign in Music and Literacy: Diverse Multimodal Classrooms

    ERIC Educational Resources Information Center

    Tomlinson, Michelle M.

    2015-01-01

    Two classrooms of diverse 5-year-old children were set the task of exploring ways of realising music invention through the semiotic import of composing resources. In both a rural and an inner-urban setting in Australia, children demonstrated syncretism in bilingual practices in communication. Visual multimodal analysis demonstrated how children…

  9. Multimodality in Malaysian Schools: The Case for the Graphic Novel

    ERIC Educational Resources Information Center

    Rajendra, Thusha Rani

    2015-01-01

    This paper aims at exploring the benefits of including graphic novels as a wholesome supplement in Malaysian schools. Research has indicated that the mono-modality of traditional linear texts may impede comprehension. The emphasis on multi-literacies clearly scaffold the need to employ multimodality in the classrooms; hence the suggestion of…

  10. Multimodality Approach to Methadone Treatment of Narcotic Addicts

    ERIC Educational Resources Information Center

    Brill, Leon; Chambers, Carl D.

    1971-01-01

    This multimodality approach is geared primarily to the goal of abstinence. For addicts who cannot achieve this goal, methadone maintenance is suggested as the next step. The modalities described range from low-dose maintenance for clinic outpatients to intensive rehabilitation in a methadone maintenance residential center facility. (Author)

  11. Beyond Talking Heads: Sourced Comics and the Affordances of Multimodality

    ERIC Educational Resources Information Center

    Dickinson, Hannah; Werner, Maggie M.

    2015-01-01

    This article analyzes the genre of the sourced comic as an important pedagogical tool in the development of both alphabetic and multimodal literacies. We argue that sourced comics provide multiple design elements with which students can explore their complex relationships with scholarly sources, make visible various power relations informing…

  12. Multimodal Bivariate Thematic Maps: Auditory and Haptic Display.

    ERIC Educational Resources Information Center

    Jeong, Wooseob; Gluck, Myke

    2002-01-01

    Explores the possibility of multimodal bivariate thematic maps by utilizing auditory and haptic (sense of touch) displays. Measured completion time of tasks and the recall (retention) rate in two experiments, and findings confirmed the possibility of using auditory and haptic displays in geographic information systems (GIS). (Author/LRW)

  13. Multimodal Geographic Information Systems: Adding Haptic and Auditory Display.

    ERIC Educational Resources Information Center

    Jeong, Wooseob; Gluck, Myke

    2003-01-01

    Investigated the feasibility of adding haptic and auditory displays to traditional visual geographic information systems (GISs). Explored differences in user performance, including task completion time and accuracy, and user satisfaction with a multimodal GIS which was implemented with a haptic display, auditory display, and combined display.…

  14. Multimodal Geographic Information Systems: Adding Haptic and Auditory Displays.

    ERIC Educational Resources Information Center

    Jeong, Wooseob

    2001-01-01

    This study consists of two experiments. Pitch, volume, and tempo in auditory-haptic geographic information systems were compared in terms of effectiveness for multimodal interface; volume was determined to be better. Auditory display with volume and haptic display with vibration were compared and the results showed that, in more complex geographic…

  15. Multimodal Play and Adolescents: Notes on Noticing Laughter

    ERIC Educational Resources Information Center

    Vasudevan, Lalitha

    2015-01-01

    In this article, I explore laughter as a form of multimodal play in which adolescents' engage across contexts and in various configurations. With a few recent exceptions, a focus on unscripted play is largely missing from ongoing research and discussion about the education of adolescents. Whereas the space to play has been vitally important to the…

  16. Highly efficient multimode diode-pumped Yb:KYW laser

    NASA Astrophysics Data System (ADS)

    Kuznetsov, S. A.; Pivtsov, V. S.; Semenko, A. V.; Bagayev, S. N.

    2017-01-01

    Record high differential efficiency (53.2%) and full optical efficiency (48%) for a multimode diode-pumped Yb:KYW laser have been achieved. The characteristics of the laser and methods for improving its efficiency using a distributed Bragg reflector tapered diode laser (DBR TDL) are discussed.

  17. A multimeric MR-optical contrast agent for multimodal imaging†

    PubMed Central

    Harrison, Victoria S. R.; Carney, Christiane E.; Macrenaris, Keith W.

    2015-01-01

    We describe the design, synthesis and in vitro evaluation of a multimodal and multimeric contrast agent. The agent consists of three macrocyclic Gd(III) chelates conjugated to a fluorophore and possesses high relaxivity, water solubility, and is nontoxic. The modular synthesis is amenable for the incorporation of a variety of fluorophores to generate molecular constructs for a number of applications. PMID:25137290

  18. Multimodal Science Teachers' Discourse in Modeling the Water Cycle

    ERIC Educational Resources Information Center

    Marquez, Conxita; Izquierdo, Merce; Espinet, Mariona

    2006-01-01

    The paper presents an intensive study of a micro-event aiming at the characterization of teacher's discourse from a multimodal communication perspective in a secondary school science classroom dealing with the topic of "water cycle." The research addresses the following questions: (a) What communicative modes are used by the teacher?, (b) what…

  19. Orchestrating Literacies: Print Literacy Learning Opportunities within Multimodal Intergenerational Ensembles

    ERIC Educational Resources Information Center

    McKee, Lori L.; Heydon, Rachel M.

    2015-01-01

    This exploratory case study considered the opportunities for print literacy learning within multimodal ensembles that featured art, singing and digital media within the context of an intergenerational programme that brought together 13 kindergarten children (4 and 5 years) with seven elder companions. Study questions concerned how reading and…

  20. The Stability of Multi-modal Traffic Network

    NASA Astrophysics Data System (ADS)

    Han, Ling-Hui; Sun, Hui-Jun; Zhu, Cheng-Juan; Wu, Jian-Jun; Jia, Bin

    2013-07-01

    There is an explicit and implicit assumption in multimodal traffic equilibrium models, that is, if the equilibrium exists, then it will also occur. The assumption is very idealized; in fact, it may be shown that the quite contrary could happen, because in multimodal traffic network, especially in mixed traffic conditions the interaction among traffic modes is asymmetric and the asymmetric interaction may result in the instability of traffic system. In this paper, to study the stability of multimodal traffic system, we respectively present the travel cost function in mixed traffic conditions and in traffic network with dedicated bus lanes. Based on a day-to-day dynamical model, we study the evolution of daily route choice of travelers in multimodal traffic network using 10000 random initial values for different cases. From the results of simulation, it can be concluded that the asymmetric interaction between the cars and buses in mixed traffic conditions can lead the traffic system to instability when traffic demand is larger. We also study the effect of travelers' perception error on the stability of multimodal traffic network. Although the larger perception error can alleviate the effect of interaction between cars and buses and improve the stability of traffic system in mixed traffic conditions, the traffic system also become instable when the traffic demand is larger than a number. For all cases simulated in this study, with the same parameters, traffic system with dedicated bus lane has better stability for traffic demand than that in mixed traffic conditions. We also find that the network with dedicated bus lane has higher portion of travelers by bus than it of mixed traffic network. So it can be concluded that building dedicated bus lane can improve the stability of traffic system and attract more travelers to choose bus reducing the traffic congestion.

  1. Multimodality Monitoring, Inflammation, and Neuroregeneration in Subarachnoid Hemorrhage

    PubMed Central

    Nogueira, Ariel B.; Esteves Veiga, José C.; Teixeira, Manoel J.

    2014-01-01

    BACKGROUND: Stroke, including subarachnoid hemorrhage (SAH), is one of the leading causes of morbidity and mortality worldwide. The mortality rate of poor-grade SAH ranges from 34% to 52%. In an attempt to improve SAH outcomes, clinical research on multimodality monitoring has been performed, as has basic science research on inflammation and neuroregeneration (which can occur due to injury-induced neurogenesis). Nevertheless, the current literature does not focus on the integrated study of these fields. Multimodality monitoring corresponds to physiological data obtained during clinical management by both noninvasive and invasive methods. Regarding inflammation and neuroregeneration, evidence suggests that, in all types of stroke, a proinflammatory phase and an anti-inflammatory phase occur consecutively; these phases affect neurogenesis, which is also influenced by other pathophysiological features of stroke, such as ischemia, seizures, and spreading depression. OBJECTIVE: To assess whether injury-induced neurogenesis is a prognostic factor in poor-grade SAH that can be monitored and modulated. METHODS: We propose a protocol for multimodality monitoring-guided hypothermia in poor-grade SAH in which cellular and molecular markers of inflammation and neuroregeneration can be monitored in parallel with clinical and multimodal data. EXPECTED OUTCOMES: This study may reveal correlations between markers of inflammation and neurogenesis in blood and cerebrospinal fluid, based on clinical and multimodality monitoring parameters. DISCUSSION: This protocol has the potential to lead to new therapies for acute, diffuse, and severe brain diseases. ABBREVIATIONS: BBB, blood-brain barrier CPP, cerebral perfusion pressure EEG, electroencephalography ICP, intracranial pressure IL, interleukin MCA, middle cerebral artery SAH, subarachnoid hemorrhage SD, spreading depression SGZ, subgranular zone SVZ, subventricular zone TCD, transcranial Doppler PMID:25050583

  2. Multimodally controlled intelligent telerobot for people with disabilities

    NASA Astrophysics Data System (ADS)

    Kazi, Zunaid; Chen, Shoupu; Beitler, Matthew; Chester, Daniel; Foulds, Richard

    1996-12-01

    This paper reports on the current status of the multimodal user supervised interface and intelligent control (MUSIIC) project, which is working towards the development of an intelligent assistive telemanipulative system for people with motor disabilities. Our MUSIIC strategy overcomes the limitations of previous approaches by integrating a multimodal RUI (robot user interface) and a semi-autonomous reactive planner that will allow users with severe motor disabilities to manipulate objects in an unstructured domain. The multimodal user interface is a speech and deictic (pointing) gesture based control that guides the operation of a semi-autonomous planner controlling the assistive telerobot. MUSIIC uses a vision system to determine the three-dimensional shape, pose and color of objects and surfaces which are in the environment, and as well as an object-oriented knowledge base and planning system which superimposes information about common objects in the three-dimensional world. This approach allows the users to identify objects and tasks via a multimodal user interface which interprets their deictic gestures and a restricted natural language like speech input. The multimodal interface eliminates the need for general purpose object recognition by binding the users speech and gesture input to a locus in the domain of interest. The underlying knowledge-driven planner, combines information obtained from the user, the stereo vision mechanism as well as the knowledge bases to adapt previously learned plans to perform new tasks and also to manipulate newly introduced objects into the workspace. Therefore, what we have is a flexible and intelligent telemanipulative system that functions as an assistive robot for people with motor disabilities.

  3. [Multimodal therapy concepts for failed back surgery syndrome].

    PubMed

    Casser, Hans-Raimund

    2016-09-01

    Failed back surgery syndrome (FBSS) is a frequent complication (15-40 %) of lumbar disc surgery and is rarely successfully treated by surgery with the exception of a re-prolapse associated with radicular pain. Multimodal pain treatment, however, is indicated by a lack of pathoanatomical correlates, unclear cause and psychosocial risk factors.This review describes a standardized non-operative treatment starting with broad interdisciplinary clarification by medical, psychological and physiotherapeutic means (assessment).If the conditions for multimodal pain therapy are met, the OPS 8‑918-procedure can be applied to avoid chronic developing pain. In doing so, the already issued quality standards and guidelines for documentation should be respected.

  4. Two-photon quantum walk in a multimode fiber

    PubMed Central

    Defienne, Hugo; Barbieri, Marco; Walmsley, Ian A.; Smith, Brian J.; Gigan, Sylvain

    2016-01-01

    Multiphoton propagation in connected structures—a quantum walk—offers the potential of simulating complex physical systems and provides a route to universal quantum computation. Increasing the complexity of quantum photonic networks where the walk occurs is essential for many applications. We implement a quantum walk of indistinguishable photon pairs in a multimode fiber supporting 380 modes. Using wavefront shaping, we control the propagation of the two-photon state through the fiber in which all modes are coupled. Excitation of arbitrary output modes of the system is realized by controlling classical and quantum interferences. This report demonstrates a highly multimode platform for multiphoton interference experiments and provides a powerful method to program a general high-dimensional multiport optical circuit. This work paves the way for the next generation of photonic devices for quantum simulation, computing, and communication. PMID:27152325

  5. Real-time resilient focusing through a bending multimode fiber.

    PubMed

    Caravaca-Aguirre, Antonio M; Niv, Eyal; Conkey, Donald B; Piestun, Rafael

    2013-05-20

    Multimode optical fibers are attractive for biomedical and sensing applications because they possess a small cross section and can bend over small radii of curvature. However, mode phase-velocity dispersion and random mode coupling change with bending, temperature, and other perturbations, producing scrambling interference among propagating modes; hence preventing its use for focusing or imaging. To tackle this problem we introduce a system capable of re-focusing light through a multimode fiber in 37ms, one order of magnitude faster than demonstrated in previous reports. As a result, the focus spot can be maintained during significant bending of the fiber, opening numerous opportunities for endoscopic imaging and energy delivery applications. We measure the transmission matrix of the fiber by projecting binary-amplitude computer generated holograms using a digital micro-mirror device controlled by a field programmable gate array. The system shows two orders of magnitude enhancements of the focus spot relative to the background.

  6. [Multimodal neuromonitoring for the critical care management of acute coma].

    PubMed

    Ltaief, Z; Ben-Hamouda, N; Suys, T; Daniel, R T; Rossetti, A O; Oddo, M

    2014-12-10

    Management of neurocritical care patients is focused on the prevention and treatment of secondary brain injury, i.e. the number of pathophysiological intracerebral (edema, ischemia, energy dysfunction, seizures) and systemic (hyperthermia, disorders of glucose homeostasis) events that occur following the initial insult (stroke, hemorrhage, head trauma, brain anoxia) that may aggravate patient outcome. The current therapeutic paradigm is based on multimodal neuromonitoring, including invasive (intracranial pressure, brain oxygen, cerebral microdialysis) and non-invasive (transcranial doppler, near-infrared spectroscopy, EEG) tools that allows targeted individualized management of acute coma in the early phase. The aim of this review is to describe the utility of multimodal neuromonitoring for the critical care management of acute coma.

  7. Melanoma detection using smartphone and multimode hyperspectral imaging

    NASA Astrophysics Data System (ADS)

    MacKinnon, Nicholas; Vasefi, Fartash; Booth, Nicholas; Farkas, Daniel L.

    2016-04-01

    This project's goal is to determine how to effectively implement a technology continuum from a low cost, remotely deployable imaging device to a more sophisticated multimode imaging system within a standard clinical practice. In this work a smartphone is used in conjunction with an optical attachment to capture cross-polarized and collinear color images of a nevus that are analyzed to quantify chromophore distribution. The nevus is also imaged by a multimode hyperspectral system, our proprietary SkinSpect™ device. Relative accuracy and biological plausibility of the two systems algorithms are compared to assess aspects of feasibility of in-home or primary care practitioner smartphone screening prior to rigorous clinical analysis via the SkinSpect.

  8. Research of the multimodal brain-tumor segmentation algorithm

    NASA Astrophysics Data System (ADS)

    Lu, Yisu; Chen, Wufan

    2015-12-01

    It is well-known that the number of clusters is one of the most important parameters for automatic segmentation. However, it is difficult to define owing to the high diversity in appearance of tumor tissue among different patients and the ambiguous boundaries of lesions. In this study, a nonparametric mixture of Dirichlet process (MDP) model is applied to segment the tumor images, and the MDP segmentation can be performed without the initialization of the number of clusters. A new nonparametric segmentation algorithm combined with anisotropic diffusion and a Markov random field (MRF) smooth constraint is proposed in this study. Besides the segmentation of single modal brain tumor images, we developed the algorithm to segment multimodal brain tumor images by the magnetic resonance (MR) multimodal features and obtain the active tumor and edema in the same time. The proposed algorithm is evaluated and compared with other approaches. The accuracy and computation time of our algorithm demonstrates very impressive performance.

  9. Multimodal spatial calibration for accurately registering EEG sensor positions.

    PubMed

    Zhang, Jianhua; Chen, Jian; Chen, Shengyong; Xiao, Gang; Li, Xiaoli

    2014-01-01

    This paper proposes a fast and accurate calibration method to calibrate multiple multimodal sensors using a novel photogrammetry system for fast localization of EEG sensors. The EEG sensors are placed on human head and multimodal sensors are installed around the head to simultaneously obtain all EEG sensor positions. A multiple views' calibration process is implemented to obtain the transformations of multiple views. We first develop an efficient local repair algorithm to improve the depth map, and then a special calibration body is designed. Based on them, accurate and robust calibration results can be achieved. We evaluate the proposed method by corners of a chessboard calibration plate. Experimental results demonstrate that the proposed method can achieve good performance, which can be further applied to EEG source localization applications on human brain.

  10. Multimodal targeted high relaxivity thermosensitive liposome for in vivo imaging

    NASA Astrophysics Data System (ADS)

    Kuijten, Maayke M. P.; Hannah Degeling, M.; Chen, John W.; Wojtkiewicz, Gregory; Waterman, Peter; Weissleder, Ralph; Azzi, Jamil; Nicolay, Klaas; Tannous, Bakhos A.

    2015-11-01

    Liposomes are spherical, self-closed structures formed by lipid bilayers that can encapsulate drugs and/or imaging agents in their hydrophilic core or within their membrane moiety, making them suitable delivery vehicles. We have synthesized a new liposome containing gadolinium-DOTA lipid bilayer, as a targeting multimodal molecular imaging agent for magnetic resonance and optical imaging. We showed that this liposome has a much higher molar relaxivities r1 and r2 compared to a more conventional liposome containing gadolinium-DTPA-BSA lipid. By incorporating both gadolinium and rhodamine in the lipid bilayer as well as biotin on its surface, we used this agent for multimodal imaging and targeting of tumors through the strong biotin-streptavidin interaction. Since this new liposome is thermosensitive, it can be used for ultrasound-mediated drug delivery at specific sites, such as tumors, and can be guided by magnetic resonance imaging.

  11. Numerical modelling of multimode fibre-optic communication lines

    SciTech Connect

    Sidelnikov, O S; Fedoruk, M P; Sygletos, S; Ferreira, F

    2016-01-31

    The results of numerical modelling of nonlinear propagation of an optical signal in multimode fibres with a small differential group delay are presented. It is found that the dependence of the error vector magnitude (EVM) on the differential group delay can be reduced by increasing the number of ADC samples per symbol in the numerical implementation of the differential group delay compensation algorithm in the receiver. The possibility of using multimode fibres with a small differential group delay for data transmission in modern digital communication systems is demonstrated. It is shown that with increasing number of modes the strong coupling regime provides a lower EVM level than the weak coupling one. (fibre-optic communication lines)

  12. Multimode-Guided-Wave Ultrasonic Scanning of Materials

    NASA Technical Reports Server (NTRS)

    Roth, Don

    2006-01-01

    Two documents discuss a method of characterizing advanced composite materials by use of multimode-guided ultrasonic waves. A transmitting transducer excites modulated (e.g., pulsed) ultrasonic waves at one location on a surface of a plate specimen. The waves interact with microstructure and flaws as they propagate through the specimen to a receiving transducer at a different location. The received signal is analyzed to determine the total (multimode) ultrasonic response of the specimen and utilize this response to evaluate microstructure and flaws. The analysis is performed by software that extracts parameters of signals in the time and frequency domains. Scanning is effected by using computer-controlled motorized translation stages to position the transducers at specified pairs of locations and repeating the measurement, data-acquisition, and data-analysis processes at the successive locations. One document presents results of a scan of a specimen containing a delamination.

  13. Angular momentum effects in multimodal fission of 226Th

    NASA Astrophysics Data System (ADS)

    Chubarian, G. G.; Hurst, B. J.; O'Kelly, D.; Schmitt, R. P.; Itkis, M. G.; Kondratiev, N. A.; Kozulin, E. M.; Oganessian, Yu. Ts.; Pashkevich, V. V.; Pokrovsky, I. V.; Salamatin, V. S.; Rusanov, A. Ya.; Calabretta, L.; Maiolino, C.; Lukashin, K.; Agodi, C.; Bellia, G.; Hanappe, F.; Liatard, E.; Huck, A.; Stuttgé, L.

    1998-12-01

    The γ-rays from the multimodal fission of the 226Th formed in 18O+208Pb was investigated at the near- and sub-barrier energies. The corresponding excitation energies at the saddle point, Esp*, ranged from 23 to 26 MeV. The average γ-ray multiplicities and relative γ-ray energies as a function of the mass of the fission fragments exhibits a complex structure and strong variations. Such strong variations have never been previously observed in heavy ion-induced fusion-fission reactions. Obtained results may be explained with the influence of shell effects on the properties of the fission fragments. Present work is the one in series of investigation of the multimodal fission phenomena in At-Th region.

  14. A bioinspired multi-modal flying and walking robot.

    PubMed

    Daler, Ludovic; Mintchev, Stefano; Stefanini, Cesare; Floreano, Dario

    2015-01-19

    With the aim to extend the versatility and adaptability of robots in complex environments, a novel multi-modal flying and walking robot is presented. The robot consists of a flying wing with adaptive morphology that can perform both long distance flight and walking in cluttered environments for local exploration. The robot's design is inspired by the common vampire bat Desmodus rotundus, which can perform aerial and terrestrial locomotion with limited trade-offs. Wings' adaptive morphology allows the robot to modify the shape of its body in order to increase its efficiency during terrestrial locomotion. Furthermore, aerial and terrestrial capabilities are powered by a single locomotor apparatus, therefore it reduces the total complexity and weight of this multi-modal robot.

  15. Vestibular system: the many facets of a multimodal sense.

    PubMed

    Angelaki, Dora E; Cullen, Kathleen E

    2008-01-01

    Elegant sensory structures in the inner ear have evolved to measure head motion. These vestibular receptors consist of highly conserved semicircular canals and otolith organs. Unlike other senses, vestibular information in the central nervous system becomes immediately multisensory and multimodal. There is no overt, readily recognizable conscious sensation from these organs, yet vestibular signals contribute to a surprising range of brain functions, from the most automatic reflexes to spatial perception and motor coordination. Critical to these diverse, multimodal functions are multiple computationally intriguing levels of processing. For example, the need for multisensory integration necessitates vestibular representations in multiple reference frames. Proprioceptive-vestibular interactions, coupled with corollary discharge of a motor plan, allow the brain to distinguish actively generated from passive head movements. Finally, nonlinear interactions between otolith and canal signals allow the vestibular system to function as an inertial sensor and contribute critically to both navigation and spatial orientation.

  16. Neural Network-Based Multimode Fiber-Optic Information Transmission

    NASA Astrophysics Data System (ADS)

    Marusarz, Ronald K.; Sayeh, Mohammad R.

    2001-01-01

    A new technique for transmitting information through multimode fiber-optic cables is presented. This technique sends parallel channels through the fiber-optic cable, thereby greatly improving the data transmission rate compared with that of the current technology, which uses serial data transmission through single-mode fiber. An artificial neural network is employed to decipher the transmitted information from the received speckle pattern. Several different preprocessing algorithms are developed, tested, and evaluated. These algorithms employ average region intensity, distributed individual pixel intensity, and maximum mean-square-difference optimal group selection methods. The effect of modal dispersion on the data rate is analyzed. An increased data transmission rate by a factor of 37 over that of single-mode fibers is realized. When implementing our technique, we can increase the channel capacity of a typical multimode fiber by a factor of 6.

  17. Two-photon quantum walk in a multimode fiber.

    PubMed

    Defienne, Hugo; Barbieri, Marco; Walmsley, Ian A; Smith, Brian J; Gigan, Sylvain

    2016-01-01

    Multiphoton propagation in connected structures-a quantum walk-offers the potential of simulating complex physical systems and provides a route to universal quantum computation. Increasing the complexity of quantum photonic networks where the walk occurs is essential for many applications. We implement a quantum walk of indistinguishable photon pairs in a multimode fiber supporting 380 modes. Using wavefront shaping, we control the propagation of the two-photon state through the fiber in which all modes are coupled. Excitation of arbitrary output modes of the system is realized by controlling classical and quantum interferences. This report demonstrates a highly multimode platform for multiphoton interference experiments and provides a powerful method to program a general high-dimensional multiport optical circuit. This work paves the way for the next generation of photonic devices for quantum simulation, computing, and communication.

  18. MULTIMODALITY IMAGING: BEYOND PET/CT AND SPECT/CT

    PubMed Central

    Cherry, Simon R.

    2009-01-01

    Multimodality imaging with PET/CT and SPECT/CT has become commonplace in clinical practice and in preclinical and basic medical research. Do other combinations of imaging modalities have a similar potential to impact medical science and clinical medicine? The combination of PET or SPECT with MRI is an area of active research at the present time, while other, perhaps less obvious combinations, including CT/MR and PET/optical also are being studied. In addition to the integration of the instrumentation, there are parallel developments in synthesizing imaging agents that can be viewed by multiple imaging modalities. Is the fusion of PET and SPECT with CT the ultimate answer in multimodality imaging, or is it just the first example of a more general trend towards harnessing the complementary nature of the different modalities on integrated imaging platforms? PMID:19646559

  19. Combining Multi-modal Features for Social Media Analysis

    NASA Astrophysics Data System (ADS)

    Nikolopoulos, Spiros; Giannakidou, Eirini; Kompatsiaris, Ioannis; Patras, Ioannis; Vakali, Athena

    In this chapter we discuss methods for efficiently modeling the diverse information carried by social media. The problem is viewed as a multi-modal analysis process where specialized techniques are used to overcome the obstacles arising from the heterogeneity of data. Focusing at the optimal combination of low-level features (i.e., early fusion), we present a bio-inspired algorithm for feature selection that weights the features based on their appropriateness to represent a resource. Under the same objective of optimal feature combination we also examine the use of pLSA-based aspect models, as the means to define a latent semantic space where heterogeneous types of information can be effectively combined. Tagged images taken from social sites have been used in the characteristic scenarios of image clustering and retrieval, to demonstrate the benefits of multi-modal analysis in social media.

  20. Creating Tangible Interfaces by Augmenting Physical Objects with Multimodal Language

    SciTech Connect

    McGee, David R. ); Cohen, Philip R.

    2001-01-01

    Rasa is a tangible augmented reality environment that digitally enhances the existing paper-based command and control capability in a military command post. By observing and understanding the users' speech, pen, and touch-based multimodal language, Rasa computationally augments the physical objects on a command post map, linking these items to digital representations of the same; for example, linking a paper map to the world and Post-it notes to military units. Herein, we give a thorough account of Rasa's underlying multiagent framework, and its recognition, understanding, and multimodal integration components. Moreover, we examine five properties of language: generativity, comprehensibility, compositionality, referentiality, and, at times, persistence--that render it suitable as an augmentation approach, contrasting these properties to those of other augmentation methods. It is these properties of language that allow users of Rasa to augment physical objects, transforming them into tangible interfaces.

  1. The multimodal approach to the treatment of minor depression.

    PubMed

    Lazarus, A A

    1992-01-01

    The multimodal approach endeavors to achieve rapid remission of depressive symptoms and significant relapse prevention. It is predicated on the assumption that it is usually insufficient to facilitate the acquisition of insight, dispute irrational ideas, and change negative automatic thoughts. In addition to the foregoing, behavioral deficits, sensory overloads, and negative imagery must be identified and remedied, and antidepressant medication should be considered. This paper outlines a seven-pronged approach in the treatment of "minor" depression. Some of the procedures include: assertiveness training, a "sensate focus" of enjoyable events, coping imagery, time projection, cognitive disputation, role-playing, desensitization, family therapy, and biological prophylaxis. In essence, this broad-based approach recommends that attention be paid not only to cognitive issues, but also to specific behaviors, sensations, images, interpersonal relationships, and other interactive effects. The multimodal framework (BASIC I.D.) enables the practitioner to administer the necessary measures in a systematic and comprehensive manner.

  2. Multimodal science teachers' discourse in modeling the water cycle

    NASA Astrophysics Data System (ADS)

    Márquez, Conxita; Izquierdo, Mercè; Espinet, Mariona

    2006-03-01

    The paper presents an intensive study of a micro-event aiming at the characterization of teacher's discourse from a multimodal communication perspective in a secondary school science classroom dealing with the topic of water cycle. The research addresses the following questions: (a) What communicative modes are used by the teacher?, (b) what role do the different communicative modes play within teacher's discourse?, and (c) what are the relationships among communicative modes being used by the teacher? Theoretical framework is developed based on three strands: multimodal communication, science teaching and learning as modeling, and social semotics and Halliday's functional grammar. An analytic scheme guiding teachers' discourse analysis is presented and results discussed. Implications for science teacher education are drawn that would contribute to the improvement of science teacher education.

  3. Angular momentum effects in multimodal fission of {sup 226}Th

    SciTech Connect

    Chubarian, G.G.; Hurst, B.J.; OKelly, D.; Schmitt, R.P.; Itkis, M.G.; Kondratiev, N.A.; Kozulin, E.M.; Oganessian, Y.T.; Pashkevich, V.V.; Pokrovsky, I.V.; Salamatin, V.S.; Rusanov, A.Y.; Calabretta, L.; Maiolino, C.; Lukashin, K.; Agodi, C.; Bellia, G.; Hanappe, F.; Liatard, E.; Huck, A.; Stuttge, L.

    1998-12-01

    The {gamma}-rays from the multimodal fission of the {sup 226}Th formed in {sup 18}O+{sup 208}Pb was investigated at the near- and sub-barrier energies. The corresponding excitation energies at the saddle point, E{sub sp}{sup {asterisk}}, ranged from 23 to 26 MeV. The average {gamma}-ray multiplicities and relative {gamma}-ray energies as a function of the mass of the fission fragments exhibits a complex structure and strong variations. Such strong variations have never been previously observed in heavy ion-induced fusion-fission reactions. Obtained results may be explained with the influence of shell effects on the properties of the fission fragments. Present work is the one in series of investigation of the multimodal fission phenomena in At-Th region. {copyright} {ital 1998 American Institute of Physics.}

  4. The problem of multimodal concurrent serial order in behavior.

    PubMed

    Kolodny, Oren; Edelman, Shimon

    2015-09-01

    The "problem of serial order in behavior," as formulated and discussed by Lashley (1951), is arguably more pervasive and more profound both than originally stated and than currently appreciated. We spell out two complementary aspects of what we term the generalized problem of behavior: (i) multimodality, stemming from the disparate nature of the sensorimotor variables and processes that underlie behavior, and (ii) concurrency, which reflects the parallel unfolding in time of these processes and of their asynchronous interactions. We illustrate these on a number of examples, with a special focus on language, briefly survey the computational approaches to multimodal concurrency, offer some hypotheses regarding the manner in which brains address it, and discuss some of the broader implications of these as yet unresolved issues for cognitive science.

  5. Recent advances in molecular, multimodal and theranostic ultrasound imaging.

    PubMed

    Kiessling, Fabian; Fokong, Stanley; Bzyl, Jessica; Lederle, Wiltrud; Palmowski, Moritz; Lammers, Twan

    2014-06-01

    Ultrasound (US) imaging is an exquisite tool for the non-invasive and real-time diagnosis of many different diseases. In this context, US contrast agents can improve lesion delineation, characterization and therapy response evaluation. US contrast agents are usually micrometer-sized gas bubbles, stabilized with soft or hard shells. By conjugating antibodies to the microbubble (MB) surface, and by incorporating diagnostic agents, drugs or nucleic acids into or onto the MB shell, molecular, multimodal and theranostic MBs can be generated. We here summarize recent advances in molecular, multimodal and theranostic US imaging, and introduce concepts how such advanced MB can be generated, applied and imaged. Examples are given for their use to image and treat oncological, cardiovascular and neurological diseases. Furthermore, we discuss for which therapeutic entities incorporation into (or conjugation to) MB is meaningful, and how US-mediated MB destruction can increase their extravasation, penetration, internalization and efficacy.

  6. Using multimodal mining to drive clinical guidelines development.

    PubMed

    Pasche, Emilie; Gobeill, Julien; Teodoro, Douglas; Vishnyakova, Dina; Gaudinat, Arnaud; Ruch, Patrick; Lovis, Christian

    2011-01-01

    We present exploratory investigations of multimodal mining to help designing clinical guidelines for antibiotherapy. Our approach is based on the assumption that combining various sources of data, such as the literature, a clinical datawarehouse, as well as information regarding costs will result in better recommendations. Compared to our baseline recommendation system based on a question-answering engine built on top of PubMed, an improvement of +16% is observed when clinical data (i.e. resistance profiles) are injected into the model. In complement to PubMed, an alternative search strategy is reported, which is significantly improved by the use of the combined multimodal approach. These results suggest that combining literature-based discovery with structured data mining can significantly improve effectiveness of decision-support systems for authors of clinical practice guidelines.

  7. Multimodal imaging of spike propagation: a technical case report.

    PubMed

    Tanaka, N; Grant, P E; Suzuki, N; Madsen, J R; Bergin, A M; Hämäläinen, M S; Stufflebeam, S M

    2012-06-01

    We report an 11-year-old boy with intractable epilepsy, who had cortical dysplasia in the right superior frontal gyrus. Spatiotemporal source analysis of MEG and EEG spikes demonstrated a similar time course of spike propagation from the superior to inferior frontal gyri, as observed on intracranial EEG. The tractography reconstructed from DTI showed a fiber connection between these areas. Our multimodal approach demonstrates spike propagation and a white matter tract guiding the propagation.

  8. Multimodal Imaging of Spike Propagation: A Technical Case Report

    PubMed Central

    Tanaka, N.; Grant, P.E.; Suzuki, N.; Madsen, J.R.; Bergin, A.M.; Hämäläinen, M.S; Stufflebeam, S.M.

    2012-01-01

    SUMMARY We report an 11-year-old boy with intractable epilepsy, who had cortical dysplasia in the right superior frontal gyrus. Spatiotemporal source analysis of MEG and EEG spikes demonstrated a similar time course of spike propagation from the superior to inferior frontal gyri, as observed on intracranial EEG. The tractography reconstructed from DTI showed a fiber connection between these areas. Our multimodal approach demonstrates spike propagation and a white matter tract guiding the propagation. PMID:21960488

  9. A System Approach to Adaptive Multi-Modal Sensor Designs

    DTIC Science & Technology

    2010-02-01

    Email: rhody@cis.rit.edu Program Managers: Dr. Douglas Cochran <douglas.cochran@afosr.af.mil> Dr. Kitt C. Reinhardt <kitt.reinhardt...DEPARTMENT OF COMPUTER SCIENCE CONVENT AVE & 138TH ST SCHOOL OF ENGINEERING NEW YORK, NY 10031 Approved for public release...FA9550-08-1-0199 A System Approach to Adaptive Multi-Modal Sensor Designs 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d

  10. Increasing nurse certification rates using a multimodal approach.

    PubMed

    Ciurzynski, Susan M; Serwetnyk, Tara M

    2015-04-01

    The attainment of specialty nursing certification can be beneficial for nurses, patients, and the healthcare organization alike. Barriers may prevent nurses from seeking specialty certification, which may impede healthcare organizations from increasing certification rates among nursing staff. The purpose of this article is to share the process and outcomes of 1 medical center's multimodal plan designed to prepare and support nurses seeking specialty certification in pediatric nursing practice.

  11. Construction of a multimodal CT-video chest model

    NASA Astrophysics Data System (ADS)

    Byrnes, Patrick D.; Higgins, William E.

    2014-03-01

    Bronchoscopy enables a number of minimally invasive chest procedures for diseases such as lung cancer and asthma. For example, using the bronchoscope's continuous video stream as a guide, a physician can navigate through the lung airways to examine general airway health, collect tissue samples, or administer a disease treatment. In addition, physicians can now use new image-guided intervention (IGI) systems, which draw upon both three-dimensional (3D) multi-detector computed tomography (MDCT) chest scans and bronchoscopic video, to assist with bronchoscope navigation. Unfortunately, little use is made of the acquired video stream, a potentially invaluable source of information. In addition, little effort has been made to link the bronchoscopic video stream to the detailed anatomical information given by a patient's 3D MDCT chest scan. We propose a method for constructing a multimodal CT-video model of the chest. After automatically computing a patient's 3D MDCT-based airway-tree model, the method next parses the available video data to generate a positional linkage between a sparse set of key video frames and airway path locations. Next, a fusion/mapping of the video's color mucosal information and MDCT-based endoluminal surfaces is performed. This results in the final multimodal CT-video chest model. The data structure constituting the model provides a history of those airway locations visited during bronchoscopy. It also provides for quick visual access to relevant sections of the airway wall by condensing large portions of endoscopic video into representative frames containing important structural and textural information. When examined with a set of interactive visualization tools, the resulting fused data structure provides a rich multimodal data source. We demonstrate the potential of the multimodal model with both phantom and human data.

  12. Smart automotive bumper based on a multimode optical fiber

    NASA Astrophysics Data System (ADS)

    Meyrueis, Patrick; Kress, Bernard; Fischer, Sylvain

    2007-09-01

    We are presenting a novel shock sensor device based on multimode optical fiber. This device is an elementary fiber sensor tailored for the transportation industry, and especially the automotive industry, allowing detection of shocks and the measurement of the deformation of surface external of the system. We also show how a plurality for such sensors can be combined in order to detect and characterize the shock in order to trigger an adapted response from the vehicle for added safety.

  13. Advanced tracking and data relay experiment study: Multimode transponder experiment

    NASA Technical Reports Server (NTRS)

    Cnossen, R. S.

    1973-01-01

    A series of experiments utilizing a multimode transponder mounted in an aircraft working either through a spacecraft or directly with a ground station is studied. The purpose of the experiments is to determine the best modulation and encoding techniques for combating RFI and multipath propagation and to determine the characteristics of VHF and UHF RFI in discreet bands. The experiments would also determine the feasibility and accuracy of range and range rate measurements with the various modulation and encoding techniques.

  14. MINERVA - A Multi-Modal Radiation Treatment Planning System

    SciTech Connect

    D. E. Wessol; C. A. Wemple; D. W. Nigg; J. J. Cogliati; M. L. Milvich; C. Frederickson; M. Perkins; G. A. Harkin

    2004-10-01

    Recently, research efforts have begun to examine the combination of BNCT with external beam photon radiotherapy (Barth et al. 2004). In order to properly prepare treatment plans for patients being treated with combinations of radiation modalities, appropriate planning tools must be available. To facilitiate this, researchers at the Idaho National Engineering and Environmental Laboratory (INEEL)and Montana State University (MSU) have undertaken development of a fully multi-modal radiation treatment planning system.

  15. Neural processing-type displacement sensor employing multimode waveguide

    NASA Astrophysics Data System (ADS)

    Aisawa, Shigeki; Noguchi, Kazuhiro; Matsumoto, Takao

    1991-04-01

    A novel neural processing-type displacement sensor, consisting of a multimode waveguide and a neural network, is demonstrated. This sensor detects displacement using changes in the interference output image of the waveguide. The interference image is directly processed by a three-layer perceptron neural network. Environmental change, such as the intensity fluctuation, and change of the temperature can be followed by training the neural network. Experimental results show that the sensor has a resolution of 1 micron.

  16. Bichromatic emission and multimode dynamics in bidirectional ring lasers

    SciTech Connect

    Perez-Serrano, Antonio; Javaloyes, Julien; Balle, Salvador

    2010-04-15

    The multimode dynamics of a two-level ring laser is explored numerically using a bidirectional traveling wave model retaining the spatial effects due to the presence of counter-propagating electric fields in the population inversion. Dynamical regimes where the emission in each direction occurs at different wavelengths are studied. Mode-locked unidirectional emission for large gain bandwidth and relatively small detuning is reported.

  17. Multimode circuit quantum electrodynamics with hybrid metamaterial transmission lines.

    PubMed

    Egger, D J; Wilhelm, F K

    2013-10-18

    Quantum transmission lines are central to superconducting and hybrid quantum computing. In this work we show how coupling them to a left-handed transmission line allows circuit QED to reach a new regime: multimode ultrastrong coupling. Out of the many potential applications of this novel device, we discuss the preparation of multipartite entangled states and the simulation of the spin-boson model where a quantum phase transition is reached up to finite size effects.

  18. Multimode tapered optical light pipe for illumination systems

    NASA Astrophysics Data System (ADS)

    Romańczuk, Patryk; Pietrzycki, Marcin; Źmojda, Jacek; Kochanowicz, Marcin; Dorosz, Dominik

    2015-09-01

    In the article the multimode tapered optical light pipe for illumination systems was investigated. Based on tree light emitting diodes at the wavelength of 460 nm (blue), 528 nm (green) and 631 nm (red) possibility of white light emission on the output surface of the tapered light pipe was submitted. Influence of optical power of LEDs on the colour coordinates (CIE-1931) has been investigated.

  19. The Johns Hopkins University multimodal dataset for human action recognition

    NASA Astrophysics Data System (ADS)

    Murray, Thomas S.; Mendat, Daniel R.; Pouliquen, Philippe O.; Andreou, Andreas G.

    2015-05-01

    The Johns Hopkins University MultiModal Action (JHUMMA) dataset contains a set of twenty-one actions recorded with four sensor systems in three different modalities. The data was collected with a data acquisition system that includes three independent active sonar devices at three different frequencies and a Microsoft Kinect sensor that provides both RGB and Depth data. We have developed algorithms for human action recognition from active acoustics and provide benchmark baseline recognition performance results.

  20. Multimode-diode-pumped gas (alkali-vapor) laser

    SciTech Connect

    Page, R H; Beach, R J; Kanz, V K

    2005-08-22

    We report the first demonstration of a multimode-diode-pumped gas laser--Rb vapor operating on the 795 nm resonance transition. Peak output of {approx}1 Watt was obtained using a volume-Bragg-grating stabilized pump diode array. The laser's output radiance exceeded the pump radiance by a factor greater than 2000. Power scaling (by pumping with larger diode arrays) is therefore possible.

  1. A Framework and Toolkit for the Construction of Multimodal Learning Interfaces

    DTIC Science & Technology

    2007-11-02

    human communication modalities in the context of a broad class of applications, specifically those that support state manipulation via parameterized actions. The multimodal semantic model is also the basis for a flexible, domain independent, incrementally trainable multimodal interpretation algorithm based on a connectionist network. The second major contribution is an application framework consisting of reusable components and a modular, distributed system architecture. Multimodal application developers can assemble the components in the framework into a new application,

  2. Passive interferometric symmetries of multimode Gaussian pure states

    NASA Astrophysics Data System (ADS)

    Gabay, Natasha; Menicucci, Nicolas C.

    2016-05-01

    As large-scale multimode Gaussian states begin to become accessible in the laboratory, their representation and analysis become a useful topic of research in their own right. The graphical calculus for Gaussian pure states provides powerful tools for their representation, while this work presents a useful tool for their analysis: passive interferometric (i.e., number-conserving) symmetries. Here we show that these symmetries of multimode Gaussian states simplify calculations in measurement-based quantum computing and provide constructive tools for engineering large-scale harmonic systems with specific physical properties, and we provide a general mathematical framework for deriving them. Such symmetries are generated by linear combinations of operators expressed in the Schwinger representation of U (2 ) , called nullifiers because the Gaussian state in question is a zero eigenstate of them. This general framework is shown to have applications in the noise analysis of continuous-various cluster states and is expected to have additional applications in future work with large-scale multimode Gaussian states.

  3. Angled multimode interferometer for bidirectional wavelength division (de)multiplexing

    PubMed Central

    Hu, Y.; Thomson, D. J.; Khokhar, A. Z.; Stanković, S.; Mitchell, C. J.; Gardes, F. Y.; Penades, J. Soler; Mashanovich, G. Z.; Reed, G. T.

    2015-01-01

    We have demonstrated a bidirectional wavelength division (de)multiplexer (WDM) on the silicon-on-insulator platform using two 4-channel angled multimode interferometers (AMMIs) sharing the same multimode interference waveguide. An excellent match of the peak transmission wavelength of each channel between the two AMMIs was achieved. The input and output access waveguides were arranged in a configuration such that the propagation of light of one AMMI in the multimode interference waveguide suffered minimal perturbation by the input and output waveguides of the other AMMI. This type of device is ideal for the WDM system for datacom or telecom applications, e.g. an integrated optical transceiver, where the transmission wavelengths are required to match with the receiving wavelengths. The device also benefits from simple fabrication (as only a single lithography and etching step is required), improved convenience for the transceiver layout design, a reduction in tuning power and circuitry and efficient use of layout space. A low insertion loss of 3–4 dB, and low crosstalk of −15 to −20 dB, was achieved. PMID:26587242

  4. Integration of multimodality images: success and future directions

    NASA Astrophysics Data System (ADS)

    Chen, Chin-Tu

    1993-07-01

    The concept of multi-modality image integration, in which images obtained from different sensors are co-registered spatially and various aspects of object characteristics revealed by individual imaging techniques are synergistically fused in order to yield new information, has received considerable attention in recent years. The initial success was made in visualizing integrated brain images which show the overlay of physiological information from PET or SPECT with anatomical information from CT or MRI, providing new knowledge of correlates of brain function and brain structure that was difficult to access previously. Extension of this concept to cardiac and pulmonary imaging is still in its infancy. One additional difficulty in dealing with cardiac/pulmonary data sets is the issue of motion. However, some features in periodic motion may offer additional information for the purpose of spatial co-registration. In addition to visualization of the fused image data in 2-D and 3-D, future directions in the arena of image integration from multiple modalities include multi-modal image reconstruction, multi-modal image segmentation and feature extraction, and other image analysis tasks that incorporate information available from multiple sources.

  5. Reflection Effects in Multimode Fiber Systems Utilizing Laser Transmitters

    NASA Technical Reports Server (NTRS)

    Bates, Harry E.

    1991-01-01

    A number of optical communication lines are now in use at NASA-Kennedy for the transmission of voice, computer data, and video signals. Now, all of these channels use a single carrier wavelength centered near 1300 or 1550 nm. Engineering tests in the past have given indications of the growth of systematic and random noise in the RF spectrum of a fiber network as the number of connector pairs is increased. This noise seems to occur when a laser transmitter is used instead of a LED. It has been suggested that the noise is caused by back reflections created at connector fiber interfaces. Experiments were performed to explore the effect of reflection on the transmitting laser under conditions of reflective feedback. This effort included computer integration of some of the instrumentation in the fiber optic lab using the Lab View software recently acquired by the lab group. The main goal was to interface the Anritsu Optical and RF spectrum analyzers to the MacIntosh II computer so that laser spectra and network RF spectra could be simultaneously and rapidly acquired in a form convenient for analysis. Both single and multimode fiber is installed at Kennedy. Since most are multimode, this effort concentrated on multimode systems.

  6. Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition.

    PubMed

    Wu, Di; Pigou, Lionel; Kindermans, Pieter-Jan; Le, Nam Do-Hoang; Shao, Ling; Dambre, Joni; Odobez, Jean-Marc

    2016-08-01

    This paper describes a novel method called Deep Dynamic Neural Networks (DDNN) for multimodal gesture recognition. A semi-supervised hierarchical dynamic framework based on a Hidden Markov Model (HMM) is proposed for simultaneous gesture segmentation and recognition where skeleton joint information, depth and RGB images, are the multimodal input observations. Unlike most traditional approaches that rely on the construction of complex handcrafted features, our approach learns high-level spatio-temporal representations using deep neural networks suited to the input modality: a Gaussian-Bernouilli Deep Belief Network (DBN) to handle skeletal dynamics, and a 3D Convolutional Neural Network (3DCNN) to manage and fuse batches of depth and RGB images. This is achieved through the modeling and learning of the emission probabilities of the HMM required to infer the gesture sequence. This purely data driven approach achieves a Jaccard index score of 0.81 in the ChaLearn LAP gesture spotting challenge. The performance is on par with a variety of state-of-the-art hand-tuned feature-based approaches and other learning-based methods, therefore opening the door to the use of deep learning techniques in order to further explore multimodal time series data.

  7. Manifold regularized multitask feature learning for multimodality disease classification.

    PubMed

    Jie, Biao; Zhang, Daoqiang; Cheng, Bo; Shen, Dinggang

    2015-02-01

    Multimodality based methods have shown great advantages in classification of Alzheimer's disease (AD) and its prodromal stage, that is, mild cognitive impairment (MCI). Recently, multitask feature selection methods are typically used for joint selection of common features across multiple modalities. However, one disadvantage of existing multimodality based methods is that they ignore the useful data distribution information in each modality, which is essential for subsequent classification. Accordingly, in this paper we propose a manifold regularized multitask feature learning method to preserve both the intrinsic relatedness among multiple modalities of data and the data distribution information in each modality. Specifically, we denote the feature learning on each modality as a single task, and use group-sparsity regularizer to capture the intrinsic relatedness among multiple tasks (i.e., modalities) and jointly select the common features from multiple tasks. Furthermore, we introduce a new manifold-based Laplacian regularizer to preserve the data distribution information from each task. Finally, we use the multikernel support vector machine method to fuse multimodality data for eventual classification. Conversely, we also extend our method to the semisupervised setting, where only partial data are labeled. We evaluate our method using the baseline magnetic resonance imaging (MRI), fluorodeoxyglucose positron emission tomography (FDG-PET), and cerebrospinal fluid (CSF) data of subjects from AD neuroimaging initiative database. The experimental results demonstrate that our proposed method can not only achieve improved classification performance, but also help to discover the disease-related brain regions useful for disease diagnosis.

  8. In vivo detection of cervical intraepithelial neoplasia by multimodal colposcopy

    NASA Astrophysics Data System (ADS)

    Ren, Wenqi; Qu, Yingjie; Pei, Jiaojiao; Xiao, Linlin; Zhang, Shiwu; Chang, Shufang; Smith, Zachary J.; Xu, Ronald X.

    2016-03-01

    Cervical cancer is the leading cause of cancer death for women in developing countries. Colposcopy plays an important role in early screening and detection of cervical intraepithelial neoplasia (CIN). In this paper, we developed a multimodal colposcopy system that combines multispectral reflectance, autofluorescence, and RGB imaging for in vivo detection of CIN, which is capable of dynamically recording multimodal data of the same region of interest (ROI). We studied the optical properties of cervical tissue to determine multi-wavelengths for different imaging modalities. Advanced algorithms based on the second derivative spectrum and the fluorescence intensity were developed to differentiate cervical tissue into two categories: squamous normal (SN) and high grade (HG) dysplasia. In the results, the kinetics of cervical reflectance and autofluorescence characteristics pre and post acetic acid application were observed and analyzed, and the image segmentation revealed good consistency with the gold standard of histopathology. Our pilot study demonstrated the clinical potential of this multimodal colposcopic system for in vivo detection of cervical cancer.

  9. A Multimodal Search Engine for Medical Imaging Studies.

    PubMed

    Pinho, Eduardo; Godinho, Tiago; Valente, Frederico; Costa, Carlos

    2017-02-01

    The use of digital medical imaging systems in healthcare institutions has increased significantly, and the large amounts of data in these systems have led to the conception of powerful support tools: recent studies on content-based image retrieval (CBIR) and multimodal information retrieval in the field hold great potential in decision support, as well as for addressing multiple challenges in healthcare systems, such as computer-aided diagnosis (CAD). However, the subject is still under heavy research, and very few solutions have become part of Picture Archiving and Communication Systems (PACS) in hospitals and clinics. This paper proposes an extensible platform for multimodal medical image retrieval, integrated in an open-source PACS software with profile-based CBIR capabilities. In this article, we detail a technical approach to the problem by describing its main architecture and each sub-component, as well as the available web interfaces and the multimodal query techniques applied. Finally, we assess our implementation of the engine with computational performance benchmarks.

  10. BER evaluations for multimode beams in underwater turbulence

    NASA Astrophysics Data System (ADS)

    Altay Arpali, Serap; Baykal, Yahya; Arpali, Çağlar

    2016-07-01

    In underwater optical communication links, bit error rate (BER) is an important performance criterion. For this purpose, the effects of oceanic turbulence on multimode laser beam incidences are studied and compared in terms of average BER (), which is related to the scintillation index. Based on the log-normal distribution, is analysed for underwater turbulence parameters, including the rate of dissipation of the mean squared temperature, the rate of dissipation of the turbulent kinetic energy, the parameter that determines the relative strength of temperature and salinity in driving index fluctuations, the Kolmogorov microscale length and other link parameters such as link length, wavelength and laser source size. It is shown that use of multimode improves the system performance of optical wireless communication systems operating in an underwater medium. For all the investigated multimode beams, decreasing link length, source size, the relative strength of temperature and salinity in driving the index fluctuations, the rate of dissipation of the mean squared temperature and Kolmogorov microscale length improve the . Moreover, lower values are obtained for the increasing wavelength of operation and the rate of dissipation of the turbulent kinetic energy in underwater turbulence.

  11. Multimodal system for the planning and guidance of bronchoscopy

    NASA Astrophysics Data System (ADS)

    Higgins, William E.; Cheirsilp, Ronnarit; Zang, Xiaonan; Byrnes, Patrick

    2015-03-01

    Many technical innovations in multimodal radiologic imaging and bronchoscopy have emerged recently in the effort against lung cancer. Modern X-ray computed-tomography (CT) scanners provide three-dimensional (3D) high-resolution chest images, positron emission tomography (PET) scanners give complementary molecular imaging data, and new integrated PET/CT scanners combine the strengths of both modalities. State-of-the-art bronchoscopes permit minimally invasive tissue sampling, with vivid endobronchial video enabling navigation deep into the airway-tree periphery, while complementary endobronchial ultrasound (EBUS) reveals local views of anatomical structures outside the airways. In addition, image-guided intervention (IGI) systems have proven their utility for CT-based planning and guidance of bronchoscopy. Unfortunately, no IGI system exists that integrates all sources effectively through the complete lung-cancer staging work flow. This paper presents a prototype of a computer-based multimodal IGI system that strives to fill this need. The system combines a wide range of automatic and semi-automatic image-processing tools for multimodal data fusion and procedure planning. It also provides a flexible graphical user interface for follow-on guidance of bronchoscopy/EBUS. Human-study results demonstrate the system's potential.

  12. Acoustic emission monitoring using a multimode optical fiber sensor

    NASA Astrophysics Data System (ADS)

    Vandenplas, Steve; Papy, Jean-Michel; Wevers, Martine; Van Huffel, Sabine

    2004-07-01

    Permanent damage in various materials and constructions often causes high-energy high-frequency acoustic waves. To detect those so called `acoustic emission (AE) events', in most cases ultrasonic transducers are embedded in the structure or attached to its surface. However, for many applications where event localization is less important, an embedded low-cost multimode optical fiber sensor configured for event counting may be a better alternative due to its corrosion resistance, immunity to electromagnetic interference and light-weight. The sensing part of this intensity-modulated sensor consists of a multimode optical fiber. The sensing principle now relies on refractive index variations, microbending and mode-mode interferences by the action of the acoustic pressure wave. A photodiode is used to monitor the intensity of the optical signal and transient signal detection techniques (filtering, frame-to-frame analysis, recursive noise estimation, power detector estimator) on the photodiode output are applied to detect the events. In this work, the acoustic emission monitoring capabilities of the multimode optical fiber sensor are demonstrated with the fiber sensor embedded in the liner of a Power Data Transmission (PDT) coil to detect damage (delamination, matrix cracking and fiber breaking) while bending the coil. With the Hankel Total Least Square (HTLS) technique, it is shown that both the acoustic emission signal and optical signal can be modeled with a sum of exponentially damped complex sinusoids with common poles.

  13. High-resolution multimodal clinical multiphoton tomography of skin

    NASA Astrophysics Data System (ADS)

    König, Karsten

    2011-03-01

    This review focuses on multimodal multiphoton tomography based on near infrared femtosecond lasers. Clinical multiphoton tomographs for 3D high-resolution in vivo imaging have been placed into the market several years ago. The second generation of this Prism-Award winning High-Tech skin imaging tool (MPTflex) was introduced in 2010. The same year, the world's first clinical CARS studies have been performed with a hybrid multimodal multiphoton tomograph. In particular, non-fluorescent lipids and water as well as mitochondrial fluorescent NAD(P)H, fluorescent elastin, keratin, and melanin as well as SHG-active collagen has been imaged with submicron resolution in patients suffering from psoriasis. Further multimodal approaches include the combination of multiphoton tomographs with low-resolution wide-field systems such as ultrasound, optoacoustical, OCT, and dermoscopy systems. Multiphoton tomographs are currently employed in Australia, Japan, the US, and in several European countries for early diagnosis of skin cancer, optimization of treatment strategies, and cosmetic research including long-term testing of sunscreen nanoparticles as well as anti-aging products.

  14. Speckle characterization in multimode fibers for sensing applications

    NASA Astrophysics Data System (ADS)

    Rodriguez-Cobo, Luis; Lomer, Mauro; Galindez, Carlos; Lopez-Higuera, J. M.

    2012-10-01

    This paper proposes the characterization of speckle patterns of multimode fibers in view of sensing applications and particularly for detection of vibration or seismic activity. Plastic optical fibers are used in this work due to its excellent flexibility and adaptability to build sensor heads. We are interested in the response to vibration, for which we use a short cylindrical piezoelectric transducer (PZT) vibrating in radial direction. The multimode fiber was coiled as tightly as possible around the mandrel of the PZT and periodic stretching effect was caused by the radial oscillations of the actuator. The PZT is modulated with a frequency generator by applying a sinusoidal signal in the range of 0 to 20 Hz, so the speckle patterns can be time averaged. The fiber extreme is attached to a high speed camera with a plastic adaptor, centering the speckle pattern into the CCD. Maintaining the fiber position, a region of interest is selected to capture the video sequence and it is captured to detect the variations in the speckle pattern. Once having the video sequence, it is processed by averaging the pixel differences between two consecutive frames. This processed sequence is also filtered in order to reduce the high frequency noise component. In this work we report the results of the characterization of 3 types of multimode fibers, with core diameters of 50 μm, 240 μm and 980 μm.

  15. Freeform beam shaping for high-power multimode lasers

    NASA Astrophysics Data System (ADS)

    Laskin, Alexander; Laskin, Vadim

    2014-03-01

    Widening of using high power multimode lasers in industrial laser material processing is accompanied by special requirements to irradiance profiles in such technologies like metal or plastics welding, cladding, hardening, brazing, annealing, laser pumping and amplification in MOPA lasers. Typical irradiance distribution of high power multimode lasers: free space solid state, fiber-coupled solid state and diodes lasers, fiber lasers, is similar to Gaussian. Laser technologies can be essentially improved when irradiance distribution on a workpiece is uniform (flattop) or inverse-Gauss; when building high-power pulsed lasers it is possible to enhance efficiency of pumping and amplification by applying super-Gauss irradiance distribution with controlled convexity. Therefore, "freeform" beam shaping of multimode laser beams is an important task. A proved solution is refractive field mapping beam shaper like Shaper capable to control resulting irradiance profile - with the same unit it is possible to get various beam profiles and choose optimum one for a particular application. Operational principle of these devices implies transformation of laser irradiance distribution by conserving beam consistency, high transmittance, providing collimated low divergent output beam. Using additional optics makes it possible to create resulting laser spots of necessary size and round, elliptical or linear shape. Operation out of focal plane and, hence, in field of lower wavefront curvature, allows extending depth of field. The refractive beam shapers are implemented as telescopes and collimating systems, which can be connected directly to fiber-coupled lasers or fiber lasers, thus combining functions of beam collimation and irradiance transformation.

  16. Tunable high quality factor in two multimode plasmonic stubs waveguide

    PubMed Central

    Chen, Zhiquan; Li, Hongjian; Zhan, Shiping; Li, Boxun; He, Zhihui; Xu, Hui; Zheng, Mingfei

    2016-01-01

    We numerically investigate the optical characteristics of a metal-dielectric-metal (MDM) waveguide side-coupled with two identical multimode stub resonators. Double plasmon-induced transparency (PIT) peaks with narrow full width at half maximum (FWHM) and high quality factor (Q-factor) can be observed in this structure. The Q-factors of PIT peaks in two stub resonators system are larger than those in single stub resonator system. A multimode coupled-radiation oscillator theory (MC-ROT), which is derived from ROT, is proposed to analyze the spectral response in the multimode system for the first time. The analytical results are confirmed by the finite-difference time-domain (FDTD) simulation results. We can also find that the Q-factors of the two PIT peaks have an opposite evolution tendency with the change of the stubs parameters and the maximum can reach to 427. These results may provide some applications for ultrasensitive sensors, switches and efficient filters. PMID:27075935

  17. Fringe visibility of multimode laser light scattered through turbid water.

    PubMed

    Swanson, N L; Pham, C N; VanWinkle, D H

    1997-12-20

    Several years ago Swanson [Proc. SPIE 1750, 397 (1992)] performed a simple Michelson interferometric determination of the coherence length of a multimode argon-ion laser after the light passed through a tank of water. As colloidal particles were added to the water the observed coherence length (as measured by twice the distance the mirror moved for fringes to disappear) decreased. Subsequently, a series of careful experiments were performed with a single-mode laser to more accurately measure this change. In these experiments it was found that the 1.5-MHz width of the 514.5-nm line of a single-mode argon-ion laser broadened by as much as 1.3 +/- 0.2 MHz when small colloidal particles were added. At first glance such a broadening should not have resulted in any discernible change in the original Michelson experiment because the gain curve for the multimode laser is of the order of a few gigahertz. The zeros in the fringe visibility function depend on the spectral characteristics of the modes. Upon scattering, the spectral characteristics of the individual laser modes change from Voigt functions, containing both Lorentzian and Gaussian components, to primarily Gaussian. It is this change in the statistical properties of the modes, not the broadening, that accounts for the change in the fringe visibility for a multimode source.

  18. Inhibition is Needed to Learn Precise Multimodal Integration

    NASA Astrophysics Data System (ADS)

    van Hemmen, J. Leo

    2008-03-01

    Multimodal neuronal maps, combining input from two or more sensory systems, e.g., vision and audition, play a key role in processing and transforming sensory to motor information. For such maps to be of any use, the input from all participating modalities must be calibrated so that a stimulus at a specific spatial location is represented at an unambiguous position in the multimodal map. Here we discuss a method based on supervised spike-timing-dependent plasticity (STDP) to gauge input from different sensory modalities so as to ensure proper map alignment. We therefore analyze excitation- and inhibition-mediated learning in conjunction with the problem of how perfect a teacher should be. Analytical calculations and numerical simulations show on the one hand that inhibitory teacher input is essential if high-quality multimodal integration must be learnt rapidly. On the other hand, the quality of the resulting map is not limited by the quality of the teacher signal alone but rather by the accuracy of the input from other sensory modalities.

  19. Sol-gel technologies for multimode waveguide structures

    NASA Astrophysics Data System (ADS)

    Karioja, Pentti; Kusevic, Maja; Hiltunen, Marianne; Paaso, Janne; Maekinen, Jukka-Tapani; Hiltunen, Jussi A.; Kautio, Kari; Kopola, Harri K.

    2002-06-01

    Lithographic patterning of organic-inorganic hybrid materials processed by the use of sol-gel technology allows for the generation of waveguide structures at low temperatures onto polymer or ceramic substrates. In addition, sol-gel technology provides the possibility to process precision structures, such as, grooves and cavities, which are applicable for the passive alignment of photonic devices. This provides the possibility for the realization of mass-producible photonic circuits onto large-area substrates. At the moment, the most potential applications are systems based on then use of multimode waveguide structures. Actually, when utilizing sol-gel technology, the challenge is how to process homogenous, low-loss and high-aspect-ratio structures. In addition, when aiming to highly mass-producible multimode modules, the key issue is the alignment of photonic devices preferably by the use of passive precision structures. In the future, when the systems need to be more complicated, the modeling of systems requires sophisticated 3D modeling tools. In this paper, the processing of multimode structures with sol-gel technologies is described, and the characterization results of prototype devices are reported. In addition, molding and cofiring technologies potentially applicable for the hybrid integration of photonic modules are reviewed. Finally, the future research aims for the commercialization of photonic modules based on the use of sol-gel technologies are envisioned.

  20. Nanoengineered multimodal contrast agent for medical image guidance

    NASA Astrophysics Data System (ADS)

    Perkins, Gregory J.; Zheng, Jinzi; Brock, Kristy; Allen, Christine; Jaffray, David A.

    2005-04-01

    Multimodality imaging has gained momentum in radiation therapy planning and image-guided treatment delivery. Specifically, computed tomography (CT) and magnetic resonance (MR) imaging are two complementary imaging modalities often utilized in radiation therapy for visualization of anatomical structures for tumour delineation and accurate registration of image data sets for volumetric dose calculation. The development of a multimodal contrast agent for CT and MR with prolonged in vivo residence time would provide long-lasting spatial and temporal correspondence of the anatomical features of interest, and therefore facilitate multimodal image registration, treatment planning and delivery. The multimodal contrast agent investigated consists of nano-sized stealth liposomes encapsulating conventional iodine and gadolinium-based contrast agents. The average loading achieved was 33.5 +/- 7.1 mg/mL of iodine for iohexol and 9.8 +/- 2.0 mg/mL of gadolinium for gadoteridol. The average liposome diameter was 46.2 +/- 13.5 nm. The system was found to be stable in physiological buffer over a 15-day period, releasing 11.9 +/- 1.1% and 11.2 +/- 0.9% of the total amounts of iohexol and gadoteridol loaded, respectively. 200 minutes following in vivo administration, the contrast agent maintained a relative contrast enhancement of 81.4 +/- 13.05 differential Hounsfield units (ΔHU) in CT (40% decrease from the peak signal value achieved 3 minutes post-injection) and 731.9 +/- 144.2 differential signal intensity (ΔSI) in MR (46% decrease from the peak signal value achieved 3 minutes post-injection) in the blood (aorta), a relative contrast enhancement of 38.0 +/- 5.1 ΔHU (42% decrease from the peak signal value achieved 3 minutes post-injection) and 178.6 +/- 41.4 ΔSI (62% decrease from the peak signal value achieved 3 minutes post-injection) in the liver (parenchyma), a relative contrast enhancement of 9.1 +/- 1.7 ΔHU (94% decrease from the peak signal value achieved 3 minutes

  1. Linear Narratives, Arbitrary Relationships: Arbitrary Relationships: Mimesis and Direct Communication for Effectively Representing Engineering Realities Multimodally

    ERIC Educational Resources Information Center

    Jeyaraj, Joseph

    2017-01-01

    Engineers communicate multimodally using written and visual communication, but there is not much theorizing on why they do so and how. This essay, therefore, examines why engineers communicate multimodally, what, in the context of representing engineering realities, are the strengths and weaknesses of written and visual communication, and how,…

  2. An Investigation on the Role of Multimodal Metaphors in e-Feedback Interfaces

    ERIC Educational Resources Information Center

    Rigas, Dimitrios; Alharbi, Abdulrhman

    2011-01-01

    Purpose: The purpose of this paper is to investigate the usability (effectiveness, efficiency and user satisfaction) of e-feedback interfaces. The experiment compares a traditional visual approach with a multimodal approach in order to determine the impact of multimodal metaphors upon the user's understanding, reasoning and engagement with the…

  3. Fostering Students' Science Inquiry through App Affordances of Multimodality, Collaboration, Interactivity, and Connectivity

    ERIC Educational Resources Information Center

    Beach, Richard; O'Brien, David

    2015-01-01

    This study examined 6th graders' use of the VoiceThread app as part of a science inquiry project on photosynthesis and carbon dioxide emissions in terms of their ability to engage in causal reasoning and their use of the affordances of multimodality, collaboration, interactivity, and connectivity. Students employed multimodal production using…

  4. Set in Stone or Set in Motion?: Multimodal and Digital Writing with Preservice English Teachers

    ERIC Educational Resources Information Center

    Hundley, Melanie; Holbrook, Teri

    2013-01-01

    This study examines the literacy practices of pre-service English teachers engaged in multimodal and digital composing in a writing methods course designed to support both print-based and digital and/or multimodal composition practices. By examining the struggles and resistances of pre-service English teachers as they adapted print-based writing…

  5. Exploring the Multimodality of EFL Textbooks for Chinese College Students: A Comparative Study

    ERIC Educational Resources Information Center

    Liu, Xiqin; Qu, Dianning

    2014-01-01

    To explore the multimodality of two representative EFL textbook series for Chinese college students, their visual and verbal semiotic modes were compared. The target textbooks are "Experiencing English" and "New Century College English". Through multimodal discourse analysis, the study aims to shed some light on how to develop…

  6. Multimodal Representations: A Fifth-Grade Teacher Influences Students' Design and Production

    ERIC Educational Resources Information Center

    Shanahan, Lynn E.

    2013-01-01

    The purpose of this interpretive case study is to explore--through a close analysis of one fifth-grade class project--teacher's scaffolding and students' use of visual and linguistic modes when composing multimodally. Using Kress and van Leeuwen's multimodal theory of communication as a framework, this case study examines why teachers, whose…

  7. Empowering Prospective Teachers to Become Active Sense-Makers: Multimodal Modeling of the Seasons

    ERIC Educational Resources Information Center

    Kim, Mi Song

    2015-01-01

    Situating science concepts in concrete and authentic contexts, using information and communications technologies, including multimodal modeling tools, is important for promoting the development of higher-order thinking skills in learners. However, teachers often struggle to integrate emergent multimodal models into a technology-rich informal…

  8. Multimodal Teacher Input and Science Learning in a Middle School Sheltered Classroom

    ERIC Educational Resources Information Center

    Zhang, Ying

    2016-01-01

    This article reports the results of an ethnographic research about the multimodal science discourse in a sixth-grade sheltered classroom involving English Language Learners (ELLs) only. Drawing from the perspective of multimodality, this study examines how science learning is constructed in science lectures through multiple semiotic resources,…

  9. Contrasting Systemic Functional Linguistic and Situated Literacies Approaches to Multimodality in Literacy and Writing Studies

    ERIC Educational Resources Information Center

    Anderson, Kate T.

    2013-01-01

    Against the backdrop of proliferating research on multimodality in the fields of literacy and writing studies, this article considers the contributions of two prominent theoretical perspectives--Systemic Functional Linguistics (SFL) and Situated Literacies--and the methodological tensions they raise for the study of multimodality. To delineate…

  10. "Seeing It from a Different Light": Adolescents' Video Reflections about Their Multimodal Compositions

    ERIC Educational Resources Information Center

    Smith, Blaine E.; Dalton, Bridget

    2016-01-01

    Although research emphasizes the importance of reflection for productive learning, much of this work has focused on writing as the preferred mode. The goal of this study was to examine how two adolescent composers reflected on their multimodal visions and processes through multimodal means--in particular, how the students remixed research-provided…

  11. Reading in the Australian Curriculum English: Describing the Effects of Structure and Organisation on Multimodal Texts

    ERIC Educational Resources Information Center

    Exley, Beryl; Cottrell, Amber

    2012-01-01

    The recently introduced "Australian Curriculum: English" (Australian Curriculum, Assessment and Reporting Authority (ACARA), 2012) requires students to "read" multimodal text and describe the effects of structure and organisation. We begin this article by tracing the variable understandings of what reading multimodal text might…

  12. QuickSet: Multimodal Interaction for Simulation Set-up and Control

    DTIC Science & Technology

    1997-01-01

    multimodal interfaces, agent architecture, gesture recognition , speech recognition, natural language processing, distributed interactive simulation...450 words. It produces a single most likely interpretation of an utterance. Gesture recognition agent: OGI’s gesture recognition agent processes all... gesture recognition agents, and produces a unified multimodal interpretation. 21 QuickSet Brokered Architecture More detail on the architecture and

  13. Marveling at "The Man Called Nova": Comics as Sponsors of Multimodal Literacy

    ERIC Educational Resources Information Center

    Jacobs, Dale

    2007-01-01

    This essay theorizes the ways in which comics, and Marvel Comics in particular, acted as sponsors of multimodal literacy for the author. In doing so, the essay demonstrates the possibilities that exist in examining comics more closely and in thinking about how literacy sponsorship happens in multimodal texts. (Contains 1 figure and 13 notes.)

  14. Multimodal Concept Drawings: Engaging EAL Learners in Brainstorming about Course Terms

    ERIC Educational Resources Information Center

    Amicucci, Ann N.; Lassiter, Tracy

    2014-01-01

    The authors describe a multimodal concept drawing activity designed to facilitate students' understanding of terms used within an assignment in a first-year college writing course. In this activity, students write ideas, read definitions, study images, and create multimodal representations of a term in groups of classroom peers. The activity…

  15. Multimodal Composing in Classrooms: Learning and Teaching for the Digital World

    ERIC Educational Resources Information Center

    Miller, Suzanne M., Ed.; McVee, Mary B., Ed.

    2012-01-01

    Taking a close look at multimodal composing as an essential new literacy in schools, this volume draws from contextualized case studies across educational contexts to provide detailed portraits of teachers and students at work in classrooms. Authors elaborate key issues in transforming classrooms with student multimodal composing, including…

  16. Showing or Telling a Story: A Comparative Study of Public Education Texts in Multimodality and Monomodality

    ERIC Educational Resources Information Center

    Wang, Kelu

    2013-01-01

    Multimodal texts that combine words and images produce meaning in a different way from monomodal texts that rely on words. They differ not only in representing the subject matter, but also constructing relationships between text producers and text receivers. This article uses two multimodal texts and one monomodal written text as samples, which…

  17. Effects of Multimodal Presentation and Stimulus Familiarity on Auditory and Visual Processing

    ERIC Educational Resources Information Center

    Robinson, Christopher W.; Sloutsky, Vladimir M.

    2010-01-01

    Two experiments examined the effects of multimodal presentation and stimulus familiarity on auditory and visual processing. In Experiment 1, 10-month-olds were habituated to either an auditory stimulus, a visual stimulus, or an auditory-visual multimodal stimulus. Processing time was assessed during the habituation phase, and discrimination of…

  18. The Multimodalities of Globalization: Teaching a YouTube Video in an EAP Classroom

    ERIC Educational Resources Information Center

    Chun, Christian W.

    2012-01-01

    This article examines the ways in which a multimodal text--a YouTube video on globalization and business--was mediated in two English for Academic Purposes (EAP) classrooms, and how these mediations shaped the instructor's and her students' meaning-making in specific ways. I first explore the complex multimodal discourses involved with this…

  19. Combining kriging, multispectral and multimodal microscopy to resolve malaria-infected erythrocyte contents.

    PubMed

    Dabo-Niang, S; Zoueu, J T

    2012-09-01

    In this communication, we demonstrate how kriging, combine with multispectral and multimodal microscopy can enhance the resolution of malaria-infected images and provide more details on their composition, for analysis and diagnosis. The results of this interpolation applied to the two principal components of multispectral and multimodal images illustrate that the examination of the content of Plasmodium falciparum infected human erythrocyte is improved.

  20. Multimodal Assessment of and for Learning: A Theory-Driven Design Rubric

    ERIC Educational Resources Information Center

    Hung, Hsiu-Ting; Chiu, Yi-Ching Jean; Yeh, Hui-Chin

    2013-01-01

    Given the changing nature of literacy, there is an urgent need to develop alternative ways of assessment in support of students' new literacy practices in the digital age. While emergent models of multimodal assessment are being developed in theoretical contexts, the study reported in this paper illustrates how multimodal theories can be realized…

  1. Multimodality: An Illuminating Approach to Unravelling the Complexities of Composing with ICT?

    ERIC Educational Resources Information Center

    Breeze, Nick

    2011-01-01

    Having previously been employed to investigate science and English classrooms and listening in the music classroom, theories of multimodality would appear to have much to contribute to an examination of group composing using Information and Communications Technology (ICT), owing to the multimodal nature of music software and group discourse. This…

  2. An integrated GIS-based data model for multimodal urban public transportation analysis and management

    NASA Astrophysics Data System (ADS)

    Chen, Shaopei; Tan, Jianjun; Ray, C.; Claramunt, C.; Sun, Qinqin

    2008-10-01

    Diversity is one of the main characteristics of transportation data collected from multiple sources or formats, which can be extremely complex and disparate. Moreover, these multimodal transportation data are usually characterised by spatial and temporal properties. Multimodal transportation network data modelling involves both an engineering and research domain that has attracted the design of a number of spatio-temporal data models in the geographic information system (GIS). However, the application of these specific models to multimodal transportation network is still a challenging task. This research addresses this challenge from both integrated multimodal data organization and object-oriented modelling perspectives, that is, how a complex urban transportation network should be organized, represented and modeled appropriately when considering a multimodal point of view, and using object-oriented modelling method. We proposed an integrated GIS-based data model for multimodal urban transportation network that lays a foundation to enhance the multimodal transportation network analysis and management. This modelling method organizes and integrates multimodal transit network data, and supports multiple representations for spatio-temporal objects and relationship as both visual and graphic views. The data model is expressed by using a spatio-temporal object-oriented modelling method, i.e., the unified modelling language (UML) extended to spatial and temporal plug-in for visual languages (PVLs), which provides an essential support to the spatio-temporal data modelling for transportation GIS.

  3. Multimodal Rhetorics in the Disciplines: Available Means of Persuasion in an Undergraduate Architecture Studio

    ERIC Educational Resources Information Center

    Allan, Elizabeth G.

    2013-01-01

    Recent initiatives in WAC/WID and CxC/CAC programs have emphasized the need to support multimodal composing in writing studies and in other academic disciplines. This ethnographic case study examines the academic multimodal composing practices of undergraduate students in the visually-based discipline of architecture. The results of this study…

  4. Investigation of protein selectivity in multimodal chromatography using in silico designed Fab fragment variants.

    PubMed

    Karkov, Hanne Sophie; Krogh, Berit Olsen; Woo, James; Parimal, Siddharth; Ahmadian, Haleh; Cramer, Steven M

    2015-11-01

    In this study, a unique set of antibody Fab fragments was designed in silico and produced to examine the relationship between protein surface properties and selectivity in multimodal chromatographic systems. We hypothesized that multimodal ligands containing both hydrophobic and charged moieties would interact strongly with protein surface regions where charged groups and hydrophobic patches were in close spatial proximity. Protein surface property characterization tools were employed to identify the potential multimodal ligand binding regions on the Fab fragment of a humanized antibody and to evaluate the impact of mutations on surface charge and hydrophobicity. Twenty Fab variants were generated by site-directed mutagenesis, recombinant expression, and affinity purification. Column gradient experiments were carried out with the Fab variants in multimodal, cation-exchange, and hydrophobic interaction chromatographic systems. The results clearly indicated that selectivity in the multimodal system was different from the other chromatographic modes examined. Column retention data for the reduced charge Fab variants identified a binding site comprising light chain CDR1 as the main electrostatic interaction site for the multimodal and cation-exchange ligands. Furthermore, the multimodal ligand binding was enhanced by additional hydrophobic contributions as evident from the results obtained with hydrophobic Fab variants. The use of in silico protein surface property analyses combined with molecular biology techniques, protein expression, and chromatographic evaluations represents a previously undescribed and powerful approach for investigating multimodal selectivity with complex biomolecules.

  5. Teaching Poetry through Collaborative Art: An Analysis of Multimodal Ensembles for Transformative Learning

    ERIC Educational Resources Information Center

    Wandera, David B.

    2016-01-01

    This study is anchored on two positions: that every communication is multimodal and that different modalities within multimodal communication have particular affordances. Written and oral language and other modalities, such as body language and audio/visual media, are interwoven in classroom communication. What might it look like to strategically…

  6. Teachers' Integration of Multimodality into Classroom Practices for English Language Learners

    ERIC Educational Resources Information Center

    Choi, Jayoung; Yi, Youngjoo

    2016-01-01

    Despite the proven benefits of multimodal teaching and learning (i.e., through visual, sound, movement, print-based text, and technology) for students, little is known about how teachers of English language learners (ELLs) integrate multimodality into their existing curriculums. In this study, the authors examined how two teachers who had limited…

  7. Unpacking Pandora's Box: Issues in the Assessment of English Learners' Literacy Skill Development in Multimodal Classrooms

    ERIC Educational Resources Information Center

    Pandya, Jessica Zacher

    2012-01-01

    In this commentary I unpack the Pandora's Box of issues related to the assessment of English language learners' literacy skill development in multimodal classrooms. I ask how we might quantify the benefits of multimodal composing, for k-12 as well as college students, given the existing complexity of assessing ELLs' traditional literacy skills. I…

  8. Digital Multimodal Texts and Their Role in Project Work: Opportunities and Dilemmas

    ERIC Educational Resources Information Center

    Wikan, Gerd; Molster, Terje; Faugli, Bjorn; Hope, Rafael

    2010-01-01

    This paper explores how and to what extent digital multimodal text production can play a role in project work. The focus is upon describing and understanding how teachers and learners view multimodal text production as part of a learning process. Group-based project work has been used extensively in Norwegian schools since the 1970s. One criticism…

  9. Across Languages, Modes, and Identities: Bilingual Adolescents' Multimodal Codemeshing in the Literacy Classroom

    ERIC Educational Resources Information Center

    Pacheco, Mark B.; Smith, Blaine E.

    2015-01-01

    We seek to understand how bilingual adolescent students leverage multiple languages and modes in digital composition. Using a translingual and multimodal perspective of composition, this study reports on the distinct communicative affordances associated with four students' multimodal codemeshing practices. Through analysis of students' digital…

  10. Writing as Design: Enabling Access to Academic Discourse in a Multimodal Environment

    ERIC Educational Resources Information Center

    Archer, A.

    2012-01-01

    This article builds on and contributes to work in writing pedagogy, with a particular focus on multimodality. Research on writing and academic literacies have examined changing texts in higher education, yet there has not been a particular emphasis on how these texts are reconfigured in the multimodal moment. This article examines the implications…

  11. Planes, Trains, and Automobiles: Savings Potential of Utilizing Multi-Modal Transport for Depositioning Cargo in the CONUS

    DTIC Science & Technology

    2012-06-01

    Planes, Trains, and Automobiles : Savings Potential of Utilizing Multi-Modal Transport for...AFIT/IMO/ENS/12-07 Planes, Trains, and Automobiles : Savings Potential of Utilizing Multi-Modal Transport for Depositioning Cargo in the CONUS...Planes, Trains, and Automobiles : Savings Potential of Utilizing Multi-Modal Transport for Depositioning Cargo in the CONUS Timothy M

  12. Refractometric sensors based on multimode interference in a thin-film coated single-mode-multimode-single-mode structure with reflection configuration.

    PubMed

    Del Villar, Ignacio; Socorro, Abian B; Corres, Jesus M; Arregui, Francisco J; Matias, Ignacio R

    2014-06-20

    Thin-film coated single-mode-multimode-single-mode (SMS) structures have been analyzed both theoretically and experimentally with the aim of detecting different refractive indices. By adequate selection of the thickness of the thin film and of the diameter of the multimode segment in the SMS structure, a seven-fold improvement can be obtained in the sensitivity of the device to the surrounding medium refractive index, achieving a maximum sensitivity of 1199.18  nm/refractive index unit for the range of refractive indices from 1.321 to 1.382. Using layer-by-layer self-assembly for deposition, both on the cladding and on the tip of the multimode segment, allows the reflected power to increase, which avoids the application of a mirror on the tip of the multimode segment.

  13. Multimodal biometrics for identity documents (MBioID).

    PubMed

    Dessimoz, Damien; Richiardi, Jonas; Champod, Christophe; Drygajlo, Andrzej

    2007-04-11

    The MBioID initiative has been set up to address the following germane question: What and how biometric technologies could be deployed in identity documents in the foreseeable future? This research effort proposes to look at current and future practices and systems of establishing and using biometric identity documents (IDs) and evaluate their effectiveness in large-scale developments. The first objective of the MBioID project is to present a review document establishing the current state-of-the-art related to the use of multimodal biometrics in an IDs application. This research report gives the main definitions, properties and the framework of use related to biometrics, an overview of the main standards developed in the biometric industry and standardisation organisations to ensure interoperability, as well as some of the legal framework and the issues associated to biometrics such as privacy and personal data protection. The state-of-the-art in terms of technological development is also summarised for a range of single biometric modalities (2D and 3D face, fingerprint, iris, on-line signature and speech), chosen according to ICAO recommendations and availabilities, and for various multimodal approaches. This paper gives a summary of the main elements of that report. The second objective of the MBioID project is to propose relevant acquisition and evaluation protocols for a large-scale deployment of biometric IDs. Combined with the protocols, a multimodal database will be acquired in a realistic way, in order to be as close as possible to a real biometric IDs deployment. In this paper, the issues and solutions related to the acquisition setup are briefly presented.

  14. Multicore fibre technology: the road to multimode photonics

    NASA Astrophysics Data System (ADS)

    Bland-Hawthorn, J.; Min, Seong-Sik; Lindley, Emma; Leon-Saval, Sergio; Ellis, Simon; Lawrence, Jon; Beyrand, Nicolas; Roth, Martin; Löhmannsröben, Hans-Gerd; Veilleux, Sylvain

    2016-07-01

    For the past forty years, optical fibres have found widespread use in ground-based and space-based instruments. In most applications, these fibres are used in conjunction with conventional optics to transport light. But photonics offers a huge range of optical manipulations beyond light transport that were rarely exploited before 2001. The fundamental obstacle to the broader use of photonics is the difficulty of achieving photonic action in a multimode fibre. The first step towards a general solution was the invention of the photonic lantern1 in 2004 and the delivery of high-efficiency devices (< 1 dB loss) five years on2. Multicore fibres (MCF), used in conjunction with lanterns, are now enabling an even bigger leap towards multimode photonics. Until recently, the single-moded cores in MCFs were not sufficiently uniform to achieve telecom (SMF-28) performance. Now that high-quality MCFs have been realized, we turn our attention to printing complex functions (e.g. Bragg gratings for OH suppression) into their N cores. Our first work in this direction used a Mach-Zehnder interferometer (near-field phase mask) but this approach was only adequate for N=7 MCFs as measured by the grating uniformity3. We have now built a Sagnac interferometer that gives a three-fold increase in the depth of field sufficient to print across N >= 127 cores. We achieved first light this year with our 500mW Sabre FRED laser. These are sophisticated and complex interferometers. We report on our progress to date and summarize our first-year goals which include multimode OH suppression fibres for the Anglo-Australian Telescope/PRAXIS instrument and the Discovery Channel Telescope/MOHSIS instrument under development at the University of Maryland.

  15. ADHD, Multimodal Treatment, and Longitudinal Outcome: Evidence, Paradox, and Challenge

    PubMed Central

    Arnold, L. Eugene

    2014-01-01

    Given major increases in the diagnosis of attention-deficit hyperactivity disorder (ADHD) and in rates of medication for this condition, we carefully examine evidence for effects of single versus multimodal (i.e., combined medication and psychosocial/behavioral) interventions for ADHD. Our primary data source is the Multimodal Treatment Study of Children with ADHD (MTA), a 14-month, randomized clinical trial in which intensive behavioral, medication, and multimodal treatment arms were contrasted with one another and with community intervention (treatment-as-usual), regarding outcome domains of ADHD symptoms, comorbidities, and core functional impairments. Although initial reports emphasized the superiority of well-monitored medication for symptomatic improvement, reanalyses and reappraisals have highlighted (a) the superiority of combination treatment for composite outcomes and for domains of functional impairment (e.g., academic achievement, social skills, parenting practices); (b) the importance of considering moderator and mediator processes underlying differential patterns of outcome, including comorbid subgroups and improvements in family discipline style during the intervention period; (c) the emergence of side effects (e.g., mild growth suppression) in youth treated with long-term medication; and (d) the diminution of medication’s initial superiority once the randomly assigned treatment phase turned into naturalistic follow-up. The key paradox is that whereas ADHD clearly responds to medication and behavioral treatment in the short term, evidence for long-term effectiveness remains elusive. We close with discussion of future directions and a call for greater understanding of relevant developmental processes in the attempt to promote optimal, generalized, and lasting treatments for this important and impairing neurodevelopmental disorder. PMID:25558298

  16. Multimodality imaging for precise localization of craniofacial osteomyelitis.

    PubMed

    Strumas, Nick; Antonyshyn, Oleh; Caldwell, Curtis B; Mainprize, James

    2003-03-01

    Functional imaging identifies areas of abnormal bone turnover, providing a useful adjunct in the treatment of osteomyelitis and bone tumors. The low resolution and lack of anatomical detail limit the application of bone scans in craniofacial surgery, however. Multimodality image registration addresses this problem by fusing functional images (single photon emission computed tomography [SPECT]) to high-resolution structural images (computed tomography [CT]) for precise anatomical delineation of bone activity. This article describes a technique for spatial registration of CT and SPECT images to provide precise anatomical delineation of abnormal bone turnover, thereby guiding the extent of resection in the management of craniofacial osteomyelitis. Standard CT and SPECT imaging protocols were used in imaging the skull from the vertex to the mentum. Image data were imported into Analyze (Biomedical Imaging Resource; Mayo Foundation, Rochester, MN) on a dedicated Windows NT (Microsoft Corporation, Redmond, WA) workstation. Using the CT data, the craniofacial skeleton, osteotomy segments, and bone grafts were interactively mapped out. Consecutive axial slices were then reconstructed to form a three-dimensional volume of interest. The CT-derived volume of interest was registered to the technetium Tc 99m-methylene diphosphonate SPECT scan using the Analyze program to provide a fused multimodality image. The imaging technique was used to localize osteomyelitis in a complex craniofacial reconstruction. The fused images guided the extent of resection during surgery, and postoperative microbiological and histological testing confirmed the diagnosis. Multimodality image registration provides a readily available method to relate facial skeletal anatomy and physiology. This technique is valuable in planning and monitoring therapeutic interventions in clinical conditions in which bone turnover is abnormal.

  17. Multimodality treatment of unresectable hepatic metastases from pancreatic glucagonoma

    PubMed Central

    Poggi, Guido; Villani, Laura; Bernardo, Giovanni

    2009-01-01

    Glucagonomas are pancreatic islet cell tumors arising from the alpha cells which belong to neuroendocrine tumors. They frequently metastasize to the liver. We report the case of a 52- year old man with a pancreatic glucagonoma with synchronous multiple liver metastases treated by surgery, transarterial chemoembolization, percutaneous radiofrequency thermal ablation and long-acting octreotide. Our report confirms that a multimodal approach is very effective in patients with unresectable liver metastases from pancreatic endocrine tumors providing long-lasting palliation and probably prolonging survival. PMID:21139900

  18. Multimodal medical image fusion using improved multi-channel PCNN.

    PubMed

    Zhao, Yaqian; Zhao, Qinping; Hao, Aimin

    2014-01-01

    Multimodal medical image fusion is a method of integrating information from multiple image formats. Its aim is to provide useful and accurate information for doctors. Multi-channel pulse coupled neural network (m-PCNN) is a recently proposed fusion model. Compared with previous methods, this network can effectively manage various types of medical images. However, it has two drawbacks: lack of control to feed function and low-level automation. The improved multi-channel PCNN proposed in this paper can adjust the impact of feed function by linking strength and adaptively compute the weighting coefficients for each pixel. Experimental results demonstrated the effectiveness of the improved m-PCNN fusion model.

  19. Modal noise impact in radio over fiber multimode fiber links.

    PubMed

    Gasulla, I; Capmany, J

    2008-01-07

    A novel analysis is given on the statistics of modal noise for a graded-index multimode fiber (MMF) link excited by an analog intensity modulated laser diode. We present the speckle contrast as a function of the power spectrum of the modulated source and the transfer function of the MMF which behaves as an imperfect transversal microwave photonic filter. The theoretical results confirm that the modal noise is directly connected with the coherence properties of the optical source and show that the performance of high-frequency Radio Over Fiber (ROF) transmission through MMF links for short and middle reach distances is not substantially degraded by modal noise.

  20. Transmission of straight and curved multimode optical fibers

    NASA Astrophysics Data System (ADS)

    Melnik, Ivan S.; Kravchenko, Igor; Denisov, Nikolay A.; Dets, Sergiy M.; Rusina, Tatyana V.

    1995-01-01

    Bent multimode optical fibers were studied using a 3D ray tracing program. Effect of fiber bending increased with smaller input aperture beams. Transmission of fibers decreased for the longer proximal straight part of the fiber. Significant focusing effect and output light redistribution were detected if a proximal straight part of the fiber was less than 1 fiber diameter. Transmission of hollow waveguides considerably depended on the inner surface quality. Calculated data were in accordance with experimental measurements of fiber transmission and output light distribution. Ray tracing is a useful approach to simulate different delivery systems using optical fibers and hollow waveguides.

  1. Quantum teleportation of nonclassical wave packets: An effective multimode theory

    SciTech Connect

    Benichi, Hugo; Takeda, Shuntaro; Lee, Noriyuki; Furusawa, Akira

    2011-07-15

    We develop a simple and efficient theoretical model to understand the quantum properties of broadband continuous variable quantum teleportation. We show that, if stated properly, the problem of multimode teleportation can be simplified to teleportation of a single effective mode that describes the input state temporal characteristic. Using that model, we show how the finite bandwidth of squeezing and external noise in the classical channel affect the output teleported quantum field. We choose an approach that is especially relevant for the case of non-Gaussian nonclassical quantum states and we finally back-test our model with recent experimental results.

  2. Determining surface properties with bimodal and multimodal AFM.

    PubMed

    Forchheimer, D; Borysov, Stanislav S; Platz, D; Haviland, David B

    2014-12-05

    Conventional dynamic atomic force microscopy (AFM) can be extended to bimodal and multimodal AFM in which the cantilever is simultaneously excited at two or more resonance frequencies. Such excitation schemes result in one additional amplitude and phase images for each driven resonance, and potentially convey more information about the surface under investigation. Here we present a theoretical basis for using this information to approximate the parameters of a tip-surface interaction model. The theory is verified by simulations with added noise corresponding to room-temperature measurements.

  3. Perspectives of multimode fibers and digital holography for optogenetics

    NASA Astrophysics Data System (ADS)

    Czarske, Jürgen W.; Haufe, Daniel; Koukourakis, Nektarios; Büttner, Lars

    2016-04-01

    Optogenetic approaches allow the activation or inhibition of genetically prescribed populations of neurons by light. In principle, optogenetics offers not only the ability to elucidate the functions of neural circuitry, but also new approaches to a treatment of neurodegenerative diseases and recovery of vision and auditory perception. Optogenetics already has revolutionized research in neuroscience. However, new methods for delivering light to three-dimensionally distributed structures e.g. in the brain are necessary. A major hurdle for focusing light through biological tissue is the occurring scattering and scrambling of the light. We demonstrate the correction of the scrambling in a multimode fiber by digital optical phase conjugation with a perspective for optogenetics.

  4. Tutorial on multimode fiber optic wavelength division multiplexing

    NASA Technical Reports Server (NTRS)

    Spencer, J. L.

    1982-01-01

    Optical wavelength division multiplexing (WDM) systems, with signals transmitted on different wavelengths through a single optical fiber, can have increased bandwidth and fault isolation properties over single wavelength optical systems. This paper considers two WDM system designs that might be used with multimode fibers and gives a general description of the components which could be used to implement the system. The components described are sources, multiplexers, demultiplexers, and detectors. Emphasis is given to the demultiplexer technique which is the major developmental component in the WDM system.

  5. Tests of MULTIMODE calculations of rovibrational energies of CH 4

    NASA Astrophysics Data System (ADS)

    Wu, Jiayan; Huang, Xinchuan; Carter, Stuart; Bowman, Joel M.

    2006-08-01

    We report variational calculations of rovibrational energies of CH 4 using the code MULTIMODE and an ab initio force field of Schwenke and Partridge. The systematic convergence of the energies with respect to the level of mode coupling is presented. Converged vibrational energies calculated using the five-mode representation of the potential for zero total angular momentum are compared with previous, benchmark calculations based on Radau coordinates using this force field for zero total angular momentum and for J = 1. Very good agreement with the previous benchmark calculations is found.

  6. Multimode squeezing, biphotons and uncertainty relations in polarization quantum optics

    NASA Technical Reports Server (NTRS)

    Karassiov, V. P.

    1994-01-01

    The concept of squeezing and uncertainty relations are discussed for multimode quantum light with the consideration of polarization. Using the polarization gauge SU(2) invariance of free electromagnetic fields, we separate the polarization and biphoton degrees of freedom from other ones, and consider uncertainty relations characterizing polarization and biphoton observables. As a consequence, we obtain a new classification of states of unpolarized (and partially polarized) light within quantum optics. We also discuss briefly some interrelations of our analysis with experiments connected with solving some fundamental problems of physics.

  7. Correlation steering in the angularly multimode Raman atomic memory

    NASA Astrophysics Data System (ADS)

    Mazelanik, Mateusz; Dąbrowski, Michał; Wasilewski, Wojciech

    2016-09-01

    We present the possibility of steering the direction of correlations between the off-resonant Raman scattered photons from the angularly multimode atomic memory based on warm rubidium vapors. Using acousto-optic deflectors (AOD) driven by different modulation frequencies we experimentally change the angle of incidence of the laser beams on the atomic ensemble. Performing correlations measurements for various deflection angles we verify that we can choose the anti-Stokes light propagation direction independently of the correlated Stokes scattered light in the continuous way. As a result we can select the spatial mode of photons retrieved from the memory, which may be important for future development of quantum information processing.

  8. Separating and combining single-mode and multimode optical beams

    SciTech Connect

    Ruggiero, Anthony J; Masquelier, Donald A; Cooke, Jeffery B; Kallman, Jeffery S

    2013-11-12

    Techniques for combining initially separate single mode and multimode optical beams into a single "Dual Mode" fiber optic have been developed. Bi-directional propagation of two beams that are differentiated only by their mode profiles (i.e., wavefront conditions) is provided. The beams can be different wavelengths and or contain different modulation information but still share a common aperture. This method allows the use of conventional micro optics and hybrid photonic packaging techniques to produce small rugged packages suitable for use in industrial or military environments.

  9. Time domain finite element analysis of multimode microwave applicators

    SciTech Connect

    Dibben, D.C.; Metaxas, R.

    1996-05-01

    Analysis of multimode applicators in the frequency domain via the finite element technique produces a set of very ill-conditioned equations. This paper outlines a time domain finite element method (TDFE) for analyzing three dimensional microwave applicators where this ill-conditioning is avoided. Edge elements are used in order to handle sharp metal edges and to avoid spurious solutions. Analysis in the time domain allows field distributions at a range of different frequencies to be obtained with a single calculation. Lumping is investigated as a means of reducing the time taken for the calculation. The reflection coefficient is also obtained.

  10. Multimode metal-lined capillaries for Raman collection and sensing

    SciTech Connect

    Buric, Michael P; Chen, Kevin P; Falk, Joel; Woodruff, Steven D

    2010-12-01

    Reflective metal-lined capillary waveguides are useful for laser-power delivery or for collecting scattered light in sensing applications. We theoretically examine the multimode propagation of polarized light in large-diameter, metallized, capillary waveguides using a new perturbation technique valid for all waveguide modes. This modeling permits prediction of the collection efficiency of Raman or fluorescent light produced in the waveguide at all angles. These theoretical results are supported by measuring the intensity and angular distribution of collected scattered gas–Raman Stokes power.

  11. Multi-modality nanoparticles having optically responsive shape

    DOEpatents

    Chen, Fanqing; Bouchard, Louis-Serge

    2015-05-19

    In certain embodiments novel nanoparticles (nanowontons) are provided that are suitable for multimodal imaging and/or therapy. In one embodiment, the nanoparticles include a first biocompatible (e.g., gold) layer, an inner core layer (e.g., a non-biocompatible material), and a biocompatible (e.g., gold) layer. The first gold layer includes a concave surface that forms a first outer surface of the layered nanoparticle. The second gold layer includes a convex surface that forms a second outer surface of the layered nanoparticle. The first and second gold layers encapsulate the inner core material layer. Methods of fabricating such nanoparticles are also provided.

  12. Multimode laser beam analyzer instrument using electrically programmable optics.

    PubMed

    Marraccini, Philip J; Riza, Nabeel A

    2011-12-01

    Presented is a novel design of a multimode laser beam analyzer using a digital micromirror device (DMD) and an electronically controlled variable focus lens (ECVFL) that serve as the digital and analog agile optics, respectively. The proposed analyzer is a broadband laser characterization instrument that uses the agile optics to smartly direct light to the required point photodetectors to enable beam measurements of minimum beam waist size, minimum waist location, divergence, and the beam propagation parameter M(2). Experimental results successfully demonstrate these measurements for a 500 mW multimode test laser beam with a wavelength of 532 nm. The minimum beam waist, divergence, and M(2) experimental results for the test laser are found to be 257.61 μm, 2.103 mrad, 1.600 and 326.67 μm, 2.682 mrad, 2.587 for the vertical and horizontal directions, respectively. These measurements are compared to a traditional scan method and the results of the beam waist are found to be within error tolerance of the demonstrated instrument.

  13. On Curating Multimodal Sensory Data for Health and Wellness Platforms

    PubMed Central

    Amin, Muhammad Bilal; Banos, Oresti; Khan, Wajahat Ali; Muhammad Bilal, Hafiz Syed; Gong, Jinhyuk; Bui, Dinh-Mao; Cho, Soung Ho; Hussain, Shujaat; Ali, Taqdir; Akhtar, Usman; Chung, Tae Choong; Lee, Sungyoung

    2016-01-01

    In recent years, the focus of healthcare and wellness technologies has shown a significant shift towards personal vital signs devices. The technology has evolved from smartphone-based wellness applications to fitness bands and smartwatches. The novelty of these devices is the accumulation of activity data as their users go about their daily life routine. However, these implementations are device specific and lack the ability to incorporate multimodal data sources. Data accumulated in their usage does not offer rich contextual information that is adequate for providing a holistic view of a user’s lifelog. As a result, making decisions and generating recommendations based on this data are single dimensional. In this paper, we present our Data Curation Framework (DCF) which is device independent and accumulates a user’s sensory data from multimodal data sources in real time. DCF curates the context of this accumulated data over the user’s lifelog. DCF provides rule-based anomaly detection over this context-rich lifelog in real time. To provide computation and persistence over the large volume of sensory data, DCF utilizes the distributed and ubiquitous environment of the cloud platform. DCF has been evaluated for its performance, correctness, ability to detect complex anomalies, and management support for a large volume of sensory data. PMID:27355955

  14. The neurocognitive bases of human multimodal food perception: consciousness.

    PubMed

    Verhagen, Justus V

    2007-02-01

    This review explores how we become aware of the (integrated) flavor of food. In recent years, progress has been made understanding the neural correlates of consciousness. Experimental and computational data have been largely based on the visual system. Contemporary neurobiological frameworks of consciousness are reviewed, concluding that neural reverberation among forward- and back-projecting neural ensembles across brain areas is a common theme. In an attempt to extrapolate these concepts to the oral-sensory and olfactory systems involved with multimodal flavor perception, the integration of the sensory information of which into a flavor gestalt has been reviewed elsewhere (Verhagen, J.V., Engelen, L., 2006. The neurocognitive bases of human multimodal food perception: Sensory integration. Neurosci. Biobehav. Rev. 30(5): 613_650), I reconceptualize the flavor-sensory system by integrating it into a larger neural system termed the Homeostatic Interoceptive System (HIS). This system consists of an oral (taste, oral touch, etc.) and non-oral part (non oral-thermosensation, pain, etc.) which are anatomically and functionally highly similar. Consistent with this new concept and with a large volume of experimental data, I propose that awareness of intraoral food is related to the concomitant reverberant self-sustained activation of a coalition of neuronal subsets in agranular insula and orbitofrontal cortex (affect, hedonics) and agranular insula and perirhinal cortex (food identity), as well as the amygdala (affect and identity) in humans. I further discuss the functional anatomy in relation essential nodes. These formulations are by necessity to some extent speculative.

  15. Design and applications of a multimodality image data warehouse framework.

    PubMed

    Wong, Stephen T C; Hoo, Kent Soo; Knowlton, Robert C; Laxer, Kenneth D; Cao, Xinhau; Hawkins, Randall A; Dillon, William P; Arenson, Ronald L

    2002-01-01

    A comprehensive data warehouse framework is needed, which encompasses imaging and non-imaging information in supporting disease management and research. The authors propose such a framework, describe general design principles and system architecture, and illustrate a multimodality neuroimaging data warehouse system implemented for clinical epilepsy research. The data warehouse system is built on top of a picture archiving and communication system (PACS) environment and applies an iterative object-oriented analysis and design (OOAD) approach and recognized data interface and design standards. The implementation is based on a Java CORBA (Common Object Request Broker Architecture) and Web-based architecture that separates the graphical user interface presentation, data warehouse business services, data staging area, and backend source systems into distinct software layers. To illustrate the practicality of the data warehouse system, the authors describe two distinct biomedical applications--namely, clinical diagnostic workup of multimodality neuroimaging cases and research data analysis and decision threshold on seizure foci lateralization. The image data warehouse framework can be modified and generalized for new application domains.

  16. Multimodal registration of remotely sensed images based on Jeffrey's divergence

    NASA Astrophysics Data System (ADS)

    Xu, Xiaocong; Li, Xia; Liu, Xiaoping; Shen, Huanfeng; Shi, Qian

    2016-12-01

    Entropy-based measures (e.g., mutual information, also known as Kullback-Leiber divergence), which quantify the similarity between two signals, are widely used as similarity measures for image registration. Although they are proven superior to many classical statistical measures, entropy-based measures, such as mutual information, may fail to yield the optimum registration if the multimodal image pair has insufficient scene overlap region. To overcome this challenge, we proposed using the symmetric form of Kullback-Leiber divergence, namely Jeffrey's divergence, as the similarity measure in practical multimodal image registration tasks. Mathematical analysis was performed to investigate the causes accounting for the limitation of mutual information when dealing with insufficient scene overlap image pairs. Experimental registrations of SPOT image, Landsat TM image, ALOS PalSAR image, and DEM data were carried out to compare the performance of Jeffrey's divergence and mutual information. Results indicate that Jeffrey's divergence is capable of providing larger feasible search space, which is favorable for exploring optimum transformation parameters in a larger range. This superiority of Jeffrey's divergence was further confirmed by a series of paradigms. Thus, the proposed model is more applicable for registering image pairs that are greatly misaligned or have an insufficient scene overlap region.

  17. [Multimodalities imaging for target volume definition in radiotherapy].

    PubMed

    Daisne, Jean-François; Grégoire, Vincent

    2006-12-01

    Modern radiotherapy delivery nowadays relies on tridimensional, conformal techniques. The aim is to better target the tumor while decreasing the dose administered to surrounding normal tissues. Gold standard imaging modality remains computed-tomography (CT) scanner. However, the intrinsic lack of contrast between soft tissues leads to high variabilities in target definition. The risks are : a geographical miss with tumor underirradiation on the one hand, and a tumor overestimation with undue normal tissues irradiation on the other hand. Alternative imaging modalities like magnetic resonance imaging and functional positron emission tomography could theoretically overcome the lack of soft tissues contrast of CT. However, the fusion of the different imaging modalities images requires the use of sophisticated computer algorithms. We will briefly review them. We will then review the different clinical results reported with multi-modalities imaging for tumors of the head, neck, lung, esophagus, cervix and lymphomas. Finally, we will briefly give practical recommendations for multi-modality imaging in radiotherapy treatment planning process.

  18. Multimodal optical coherence/photoacoustic tomography of skin

    NASA Astrophysics Data System (ADS)

    Alex, Aneesh P.; Zhang, Edward Z.; Považay, Boris; Laufer, Jan; Hofer, Bernd; Glittenberg, Carl; Hermann, Boris; Beard, Paul C.; Drexler, Wolfgang

    2011-03-01

    A novel non-invasive in vivo multimodal optical coherence tomography (OCT)/photoacoustic tomography (PAT) imaging system capable of obtaining structural and functional information simultaneously has been demonstrated in skin. A 1060 nm OCT system acquiring 47k depth-scans/s with ~ 7 μm axial and ~ 20 μm transverse resolutions has been incorporated into a backward-mode PA system based on a planar, optically-transparent Fabry-Perot interferometer (FPI) sensor. In this study, the excitation wavelength was set to 670 nm and a focused laser beam at 1550 nm was used as the sensor interrogation beam. OCT and PAT images were obtained sequentially and the coregistered images were combined to form the final 3D image. OCT/PAT images obtained in vivo from the skin of a hairless mouse and human palmar skin demonstrated the ability of this multimodal imaging system to provide complementary structural and functional information from deeper depths with increased contrast.

  19. Asymmetric competition causes multimodal size distributions in spatially structured populations.

    PubMed

    Velázquez, Jorge; Allen, Robert B; Coomes, David A; Eichhorn, Markus P

    2016-01-27

    Plant sizes within populations often exhibit multimodal distributions, even when all individuals are the same age and have experienced identical conditions. To establish the causes of this, we created an individual-based model simulating the growth of trees in a spatially explicit framework, which was parametrized using data from a long-term study of forest stands in New Zealand. First, we demonstrate that asymmetric resource competition is a necessary condition for the formation of multimodal size distributions within cohorts. By contrast, the legacy of small-scale clustering during recruitment is transient and quickly overwhelmed by density-dependent mortality. Complex multi-layered size distributions are generated when established individuals are restricted in the spatial domain within which they can capture resources. The number of modes reveals the effective number of direct competitors, while the separation and spread of modes are influenced by distances among established individuals. Asymmetric competition within local neighbourhoods can therefore generate a range of complex size distributions within even-aged cohorts.

  20. Latex nanoparticles for multimodal imaging and detection in vivo

    NASA Astrophysics Data System (ADS)

    Cartier, R.; Kaufner, L.; Paulke, B. R.; Wüstneck, R.; Pietschmann, S.; Michel, R.; Bruhn, H.; Pison, U.

    2007-05-01

    The aim of the present work was to develop a multimodal imaging and detection approach to study the behaviour of nanoparticles in animal studies. Highly carboxylated 144 nm-sized latex nanoparticles were labelled with 68Ga for positron emission tomography, 111In for quantitative gamma scintigraphy or Gd3+ for magnetic resonance imaging. Following intravenous injection into rats, precise localization was achieved revealing the tracer in the blood compartment with a time-dependent accumulation in the liver. In addition, rhodamine B was also incorporated to examine specific interactions with blood cells. Flow cytometry and fluorescent microscopy show uptake of nanoparticles by leucocytes and, unexpectedly, thrombocytes, but not erythrocytes. Cellular internalization was an active and selective process. Further incorporation of polyethylene glycol into the nanoparticle corona could prevent uptake by thrombocytes but not macrophages or monocytes. Our data demonstrate the feasibility of a multimodal approach and its usefulness to analyse the fate of nanoparticles at the macroscopic and cellular level. It will facilitate the development of functionalized nanocarrier systems and extend their biomedical applications.

  1. Synthesis and radiolabeling of a somatostatin analog for multimodal imaging

    NASA Astrophysics Data System (ADS)

    Edwards, W. Barry; Liang, Kexian; Xu, Baogang; Anderson, Carolyn J.; Achilefu, Samuel

    2006-02-01

    A new multimodal imaging agent for imaging the somatostatin receptor has been synthesized and evaluated in vitro and in vivo. A somatostatin analog, conjugated to both 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraaceticacid (DOTA) and cypate (BS-296), was synthesized entirely on the solid phase (Fmoc) and purified by RP-HPLC. DOTA was added as a ligand for radiometals such as 64Cu or 177Lu for either radio-imaging or radiotherapy respectively. Cytate, a cypatesomatostatin analog conjugate, has previously demonstrated the ability to visualize somatostatin receptor rich tumor xenografts and natural organs by optical imaging techniques. BS-296 exhibited low nanomolar inhibitory capacity toward the binding of radiolabeled somatostatin analogs in cell membranes enriched in the somatostatin receptor, demonstrating the high affinity of this multimodal imaging peptide and indicating its potential as a molecular imaging agent. 64Cu, an isotope for diagnostic imaging and radiotherapy, was selected as the isotope for radiolabeling BS-296. BS-296 was radiolabeled with 64Cu in high specific activity (200 μCi/μg) in 90% radiochemical yield. Addition of 2,5-dihydroxybenzoic acid (gentisic acid) prevented radiolysis of the sample, allowing for study of the 64Cu -BS-296 the day following radiolabeling. Furthermore, inclusion of DMSO at a level of 20% was found not to interfere with radiolabeling yields and prevented the adherence of 64Cu -BS-296 to the walls of the reaction vessel.

  2. Multimodal communication in courting fiddler crabs reveals male performance capacities

    PubMed Central

    Jennions, Michael; Backwell, Patricia R. Y.

    2017-01-01

    Courting males often perform different behavioural displays that demonstrate aspects of their quality. Male fiddler crabs, Uca sp., are well known for their repetitive claw-waving display during courtship. However, in some species, males produce an additional signal by rapidly stridulating their claw, creating a ‘drumming’ vibrational signal through the substrate as a female approaches, and even continue to drum once inside their burrow. Here, we show that the switch from waving to drumming might provide additional information to the female about the quality of a male, and the properties of his burrow (multiple message hypothesis). Across males there was, however, a strong positive relationship between aspects of their waving and drumming displays, suggesting that drumming adheres to some predictions of the redundant signal hypothesis for multimodal signalling. In field experiments, we show that recent courtship is associated with a significant reduction in male sprint speed, which is commensurate with an oxygen debt. Even so, males that wave and drum more vigorously than their counterparts have a higher sprint speed. Drumming appears to be an energetically costly multimodal display of quality that females should attend to when making their mate choice decisions.

  3. Photonic lantern as mode multiplexer for multimode optical communications

    NASA Astrophysics Data System (ADS)

    Leon-Saval, Sergio G.; Fontaine, Nicolas K.; Amezcua-Correa, Rodrigo

    2017-02-01

    The majority of optical fiber technology developments in the applied sciences have arisen from developments in telecommunications. However, the photonic lantern is one of several devices that arose to solve problems in astronomy. Interestingly, these devices are now being extensively used in multimode optical telecommunications research and are likely to find commercial use in the next few years. A photonic lantern allows for a low-loss transformation of a multimode system into a discrete number of single-mode ones and vice versa, thus, enabling their use as mode multiplexers/demultiplexers in Space Division Multiplexing (SDM). Further, it provides seamless integration with the rest of single-mode photonic technologies in telecommunication systems. In this paper, we will discuss the theory and function of the photonic lantern, along with several different variants of the technology needed for their use in SDM communications, focusing on the fiber-bundle photonic lanterns type. We will also discuss some of its current and future applications.

  4. MSM: a new flexible framework for Multimodal Surface Matching.

    PubMed

    Robinson, Emma C; Jbabdi, Saad; Glasser, Matthew F; Andersson, Jesper; Burgess, Gregory C; Harms, Michael P; Smith, Stephen M; Van Essen, David C; Jenkinson, Mark

    2014-10-15

    Surface-based cortical registration methods that are driven by geometrical features, such as folding, provide sub-optimal alignment of many functional areas due to variable correlation between cortical folding patterns and function. This has led to the proposal of new registration methods using features derived from functional and diffusion imaging. However, as yet there is no consensus over the best set of features for optimal alignment of brain function. In this paper we demonstrate the utility of a new Multimodal Surface Matching (MSM) algorithm capable of driving alignment using a wide variety of descriptors of brain architecture, function and connectivity. The versatility of the framework originates from adapting the discrete Markov Random Field (MRF) registration method to surface alignment. This has the benefit of being very flexible in the choice of a similarity measure and relatively insensitive to local minima. The method offers significant flexibility in the choice of feature set, and we demonstrate the advantages of this by performing registrations using univariate descriptors of surface curvature and myelination, multivariate feature sets derived from resting fMRI, and multimodal descriptors of surface curvature and myelination. We compare the results with two state of the art surface registration methods that use geometric features: FreeSurfer and Spherical Demons. In the future, the MSM technique will allow explorations into the best combinations of features and alignment strategies for inter-subject alignment of cortical functional areas for a wide range of neuroimaging data sets.

  5. Multimodal biometric approach for cancelable face template generation

    NASA Astrophysics Data System (ADS)

    Paul, Padma Polash; Gavrilova, Marina

    2012-06-01

    Due to the rapid growth of biometric technology, template protection becomes crucial to secure integrity of the biometric security system and prevent unauthorized access. Cancelable biometrics is emerging as one of the best solutions to secure the biometric identification and verification system. We present a novel technique for robust cancelable template generation algorithm that takes advantage of the multimodal biometric using feature level fusion. Feature level fusion of different facial features is applied to generate the cancelable template. A proposed algorithm based on the multi-fold random projection and fuzzy communication scheme is used for this purpose. In cancelable template generation, one of the main difficulties is keeping interclass variance of the feature. We have found that interclass variations of the features that are lost during multi fold random projection can be recovered using fusion of different feature subsets and projecting in a new feature domain. Applying the multimodal technique in feature level, we enhance the interclass variability hence improving the performance of the system. We have tested the system for classifier fusion for different feature subset and different cancelable template fusion. Experiments have shown that cancelable template improves the performance of the biometric system compared with the original template.

  6. Asymmetric competition causes multimodal size distributions in spatially structured populations

    PubMed Central

    Velázquez, Jorge; Allen, Robert B.; Coomes, David A.; Eichhorn, Markus P.

    2016-01-01

    Plant sizes within populations often exhibit multimodal distributions, even when all individuals are the same age and have experienced identical conditions. To establish the causes of this, we created an individual-based model simulating the growth of trees in a spatially explicit framework, which was parametrized using data from a long-term study of forest stands in New Zealand. First, we demonstrate that asymmetric resource competition is a necessary condition for the formation of multimodal size distributions within cohorts. By contrast, the legacy of small-scale clustering during recruitment is transient and quickly overwhelmed by density-dependent mortality. Complex multi-layered size distributions are generated when established individuals are restricted in the spatial domain within which they can capture resources. The number of modes reveals the effective number of direct competitors, while the separation and spread of modes are influenced by distances among established individuals. Asymmetric competition within local neighbourhoods can therefore generate a range of complex size distributions within even-aged cohorts. PMID:26817778

  7. A Generative Model for Probabilistic Label Fusion of Multimodal Data

    PubMed Central

    Iglesias, Juan Eugenio; Sabuncu, Mert Rory; Van Leemput, Koen

    2014-01-01

    The maturity of registration methods, in combination with the increasing processing power of computers, has made multi-atlas segmentation methods practical. The problem of merging the deformed label maps from the atlases is known as label fusion. Even though label fusion has been well studied for intramodality scenarios, it remains relatively unexplored when the nature of the target data is multimodal or when its modality is different from that of the atlases. In this paper, we review the literature on label fusion methods and also present an extension of our previously published algorithm to the general case in which the target data are multimodal. The method is based on a generative model that exploits the consistency of voxel intensities within the target scan based on the current estimate of the segmentation. Using brain MRI scans acquired with a multiecho FLASH sequence, we compare the method with majority voting, statistical-atlas-based segmentation, the popular package FreeSurfer and an adaptive local multi-atlas segmentation method. The results show that our approach produces highly accurate segmentations (Dice 86.3% across 22 brain structures of interest), outperforming the competing methods. PMID:25685856

  8. The multimodal treatment of acromegaly: current status and future perspectives.

    PubMed

    Espinosa, Etual; Ramirez, Claudia; Mercado, Moises

    2014-01-01

    Acromegaly is a chronic systemic disorder caused by a GH-secreting pituitary adenoma. Active acromegaly results in a poor quality of life due to symptoms such as headache, fatigue, arthralgia, depression, sexual dysfunction and hyperhidrosis; an increased prevalence of co-morbidities like diabetes, hypertension as well as cancer risk and a reduced life expectancy. Appropriate, modern, multimodal treatment of acromegaly has led to a significant improvement in quality of life, an adequate control of co-morbidities and a drastic reduction in the mortality rates that used to prevail in the past. This multimodal strategy includes an adequate selection of patients who are likely to benefit from surgical treatment (which has to be performed by a skilled pituitary neurosurgeon), the use of pharmacological interventions such as somatostatin analogs and dopamine agonists, which target the pituitary adenoma; and pegvisomant, a GH mutant acting as a competitive antagonist of the GH receptor. Radiation therapy is an important tool, particularly in parts of the World where resources are limited. The ultimate outcome of the individual patient depends on the judicious use of all these treatment options, which are critically analyzed in this mini-review.

  9. Multimodal biometrics system based on face profile and ear

    NASA Astrophysics Data System (ADS)

    Youssef, Iman S.; Abaza, Ayman A.; Rasmy, Mohamed E.; Badawi, Ahmed M.

    2014-05-01

    Face recognition from a side profile view, has recently received significant attention in the literature. Even though current face recognition systems have reached a certain level of maturity at angles up to 30 degrees, their success is still limited with side profile angles. This paper presents an efficient technique for the fusion of face profile and ear biometrics. We propose to use a Block-based Local Binary Pattern (LBP) to generate the features for recognition from face profile images and ear images. These feature distributions are then fused at the score level using simple mean rule. Experimental results show that the proposed multimodal system can achieve 97:98% recognition performance, compared to unimodal biometrics of face profile 96.76%, and unimodal biometrics of ear 96.95%, details in the Experimental Results Section. Comparisons with other multimodal systems used in the literature, like Principal Component Analysis (PCA), Full-space Linear Discriminant Analysis (FSLDA) and Kernel Fisher discriminant analysis (KFDA), are presented in the Experimental Results Section.

  10. A multi-modal parcellation of human cerebral cortex.

    PubMed

    Glasser, Matthew F; Coalson, Timothy S; Robinson, Emma C; Hacker, Carl D; Harwell, John; Yacoub, Essa; Ugurbil, Kamil; Andersson, Jesper; Beckmann, Christian F; Jenkinson, Mark; Smith, Stephen M; Van Essen, David C

    2016-08-11

    Understanding the amazingly complex human cerebral cortex requires a map (or parcellation) of its major subdivisions, known as cortical areas. Making an accurate areal map has been a century-old objective in neuroscience. Using multi-modal magnetic resonance images from the Human Connectome Project (HCP) and an objective semi-automated neuroanatomical approach, we delineated 180 areas per hemisphere bounded by sharp changes in cortical architecture, function, connectivity, and/or topography in a precisely aligned group average of 210 healthy young adults. We characterized 97 new areas and 83 areas previously reported using post-mortem microscopy or other specialized study-specific approaches. To enable automated delineation and identification of these areas in new HCP subjects and in future studies, we trained a machine-learning classifier to recognize the multi-modal 'fingerprint' of each cortical area. This classifier detected the presence of 96.6% of the cortical areas in new subjects, replicated the group parcellation, and could correctly locate areas in individuals with atypical parcellations. The freely available parcellation and classifier will enable substantially improved neuroanatomical precision for studies of the structural and functional organization of human cerebral cortex and its variation across individuals and in development, aging, and disease.

  11. Multimodal analgesia without routine parenteral narcotics for total hip arthroplasty.

    PubMed

    Maheshwari, Aditya Vikram; Boutary, Myriam; Yun, Andrew G; Sirianni, Leigh Ellen; Dorr, Lawrence D

    2006-12-01

    Methods for managing pain after a total hip replacement have changed substantially in the past 5 years. We documented the outcome of patients treated with a multimodal pain program designed to avoid parenteral narcotics. Avoidance of parenteral narcotics can essentially eliminate the complications of respiratory depression, ileus, and narcotic-induced hypotension. It can minimize nausea and vomiting which cause dissatisfaction with an operation. Twenty-one of 140 patients (15%) needed parenteral narcotics postoperatively with only nine patients (6.4%) using parenteral narcotics after the day of surgery. Mean pain scores were below 3 of 10 on all postoperative days. There were no patients with respiratory depression or ileus, and four (2.9%) with urinary retention. Nausea occurred with 35 patients (25%) in the recovery room and in 28 patients (20%) thereafter. Emesis occurred in five patients (3.6%) with two incidences in the recovery room. One hundred and thirty-eight patients (98.6%) were discharged home at a mean of 2.7 seven days postoperatively with 98 (70%) on a single assistive device. The multimodal pain management program, which avoided parenteral narcotics, was effective in providing pain relief, nearly eliminating emesis, and eliminating the severe complications of respiratory depression, urinary tract infection and ileus, as well as accelerating function.

  12. Integrated multimodal metrology for objective and noninvasive tear evaluation.

    PubMed

    Kottaiyan, Ranjini; Yoon, Geunyoung; Wang, Qi; Yadav, Rahul; Zavislan, James M; Aquavella, James V

    2012-01-01

    The clinical tests used to assess tear film and diagnose dry eye are invasive and produce results that are different from natural tear characteristics. There is a need to objectively and noninvasively assess tear parameters under controlled environmental circumstances to refine dry eye diagnosis and therapy. We have developed multimodal tear imaging systems integrated in a chamber in which individual environmental factors can be precisely varied to investigate their impacts on tear parameters. With the custom-built high-resolution wavefront sensor combined with placido disc, it is possible to objectively detect two-dimensional tear breakups in real time and evaluate its impact on visual quality. Micrometer ultra-high resolution optical coherence tomography (OCT) enables us to quantify thickness and volume of the tear over the cornea and tear menisci. The ocular surface imaging ellipsometer uses polarized illumination from which both the lipid refractive index and thickness can be measured at a very high resolution. Using an enhanced thermal camera, we measure the ocular surface temperature noninvasively, which makes it possible to study spatial and temporal changes in tear evaporation. The multimodal deployment of these four components in the controlled chamber will assist in better differentiating the various clinical dry eye entities and will lead to the development of specific dry eye treatments.

  13. Microfluidic device for multimodal characterization of pancreatic islets.

    PubMed

    Mohammed, Javeed Shaikh; Wang, Yong; Harvat, Tricia A; Oberholzer, Jose; Eddington, David T

    2009-01-07

    A microfluidic device to perfuse pancreatic islets while simultaneously characterizing their functionality through fluorescence imaging of the mitochondrial membrane potential and intracellular calcium ([Ca(2+)](i)) in addition to enzyme linked immunosorbent assay (ELISA) quantification of secreted insulin was developed and characterized. This multimodal characterization of islet function will facilitate rapid assessment of tissue quality immediately following isolation from donor pancreas and allow more informed transplantation decisions to be made which may improve transplantation outcomes. The microfluidic perfusion chamber allows flow rates of up to 1 mL min(-1), without any noticeable perturbation or shear of islets. This multimodal quantification was done on both mouse and human islets. The ability of this simple microfluidic device to detect subtle variations in islet responses in different functional assays performed in short time-periods demonstrates that the microfluidic perfusion chamber device can be used as a new gold standard to perform comprehensive islet analysis and obtain a more meaningful predictive value for islet functionality prior to transplantation into recipients, which is currently difficult to predict using a single functional assay.

  14. Enhancing image classification models with multi-modal biomarkers

    NASA Astrophysics Data System (ADS)

    Caban, Jesus J.; Liao, David; Yao, Jianhua; Mollura, Daniel J.; Gochuico, Bernadette; Yoo, Terry

    2011-03-01

    Currently, most computer-aided diagnosis (CAD) systems rely on image analysis and statistical models to diagnose, quantify, and monitor the progression of a particular disease. In general, CAD systems have proven to be effective at providing quantitative measurements and assisting physicians during the decision-making process. As the need for more flexible and effective CADs continues to grow, questions about how to enhance their accuracy have surged. In this paper, we show how statistical image models can be augmented with multi-modal physiological values to create more robust, stable, and accurate CAD systems. In particular, this paper demonstrates how highly correlated blood and EKG features can be treated as biomarkers and used to enhance image classification models designed to automatically score subjects with pulmonary fibrosis. In our results, a 3-5% improvement was observed when comparing the accuracy of CADs that use multi-modal biomarkers with those that only used image features. Our results show that lab values such as Erythrocyte Sedimentation Rate and Fibrinogen, as well as EKG measurements such as QRS and I:40, are statistically significant and can provide valuable insights about the severity of the pulmonary fibrosis disease.

  15. A multi-modal parcellation of human cerebral cortex

    PubMed Central

    Glasser, Matthew F; Harwell, John; Yacoub, Essa; Ugurbil, Kamil; Andersson, Jesper; Beckmann, Christian F; Jenkinson, Mark; Smith, Stephen M; Van Essen, David C

    2016-01-01

    Understanding the amazingly complex human cerebral cortex requires a map (or parcellation) of its major subdivisions, known as cortical areas. Making an accurate areal map has been a century-old objective in neuroscience. Using multi-modal magnetic resonance images from the Human Connectome Project (HCP) and an objective semi-automated neuroanatomical approach, we delineated 180 areas per hemisphere bounded by sharp changes in cortical architecture, function, connectivity, and/or topography in a precisely aligned group average of 210 healthy young adults. We characterized 97 new areas and 83 areas previously reported using post-mortem microscopy or other specialized study-specific approaches. To enable automated delineation and identification of these areas in new HCP subjects and in future studies, we trained a machine-learning classifier to recognize the multi-modal ‘fingerprint’ of each cortical area. This classifier detected the presence of 96.6% of the cortical areas in new subjects, replicated the group parcellation, and could correctly locate areas in individuals with atypical parcellations. The freely available parcellation and classifier will enable substantially improved neuroanatomical precision for studies of the structural and functional organization of human cerebral cortex and its variation across individuals and in development, aging, and disease. PMID:27437579

  16. Multimodality molecular imaging--from target description to clinical studies.

    PubMed

    Schober, O; Rahbar, K; Riemann, B

    2009-02-01

    This highlight lecture was presented at the closing session of the Annual Congress of the European Association of Nuclear Medicine (EANM) in Munich on 15 October 2008. The Congress was a great success: there were more than 4,000 participants, and 1,597 abstracts were submitted. Of these, 1,387 were accepted for oral or poster presentation, with a rejection rate of 14%. In this article a choice was made from 100 of the 500 lectures which received the highest scores by the scientific review panel. This article outlines the major findings and trends at the EANM 2008, and is only a brief summary of the large number of outstanding abstracts presented. Among the great number of oral and poster presentations covering nearly all fields of nuclear medicine some headlines have to be defined highlighting the development of nuclear medicine in the 21st century. This review focuses on the increasing impact of molecular and multimodality imaging in the field of nuclear medicine. In addition, the question may be asked as to whether the whole spectrum of nuclear medicine is nothing other than molecular imaging and therapy. Furthermore, molecular imaging will and has to go ahead to multimodality imaging. In view of this background the review was structured according to the single steps of molecular imaging, i.e. from target description to clinical studies. The following topics are addressed: targets, radiochemistry and radiopharmacy, devices and computer science, animals and preclinical evaluations, and patients and clinical evaluations.

  17. Monitoring femtosecond laser microscopic photothermolysis with multimodal microscopy (Conference Presentation)

    NASA Astrophysics Data System (ADS)

    Huang, Yimei; Lui, Harvey; Zhao, Jianhua; McLean, David I.; Zeng, Haishan

    2016-02-01

    Photothermolysis induced by femtosecond (fs) lasers may be a promising modality in dermatology because of its advantages of high precision due to multiphoton absorption and deeper penetration due to the use of near infrared wavelengths. Although multiphoton absorption nonlinear effects are capable of precision targeting, the femtosecond laser photothermolysis could still have effects beyond the targeted area if a sufficiently high dose of laser light is used. Such unintended effects could be minimized by real time monitoring photothermolysis during the treatment. Targeted photothermolytic treatment of ex vivo mouse skin dermis was performed with tightly focused fs laser beams. Images of reflectance confocal microscopy (RCM), second harmonic generation (SHG), and two-photon fluorescence (TPF) of the mouse skins were obtained with integrated multimodal microscopy before, during, and after the laser treatment. The RCM, SHG, and TPF signal intensities of the treatment areas changed after high power femtosecond laser irradiation. The intensities of the RCM and SHG signals decreased when the tissue was damaged, while the intensity of the TPF signal increased when the photothermolysis was achieved. Moreover, the TPF signal was more susceptible to the degree of the photothermolysis than the RCM and SHG signals. The results suggested that multimodal microscopy is a potentially useful tool to monitor and assess the femtosecond laser treatment of the skin to achieve microscopic photothermolysis with high precision.

  18. Three-dimensional microfabrication through a multimode optical fiber.

    PubMed

    Morales-Delgado, Edgar E; Urio, Loic; Conkey, Donald B; Stasio, Nicolino; Psaltis, Demetri; Moser, Christophe

    2017-03-20

    3D printing based on additive manufacturing is an advanced manufacturing technique that allows the fabrication of arbitrary macroscopic and microscopic objects. Many 3D printing systems require large optical elements or nozzles in proximity to the built structure. This prevents their use in applications in which there is no direct access to the area where the objects have to be printed. Here, we demonstrate three-dimensional microfabrication based on two-photon polymerization (TPP) through an ultra-thin printing nozzle of 560 µm in diameter. Using wavefront shaping, femtosecond infrared pulses are focused and scanned through a multimode optical fiber (MMF) inside a photoresist that polymerizes via two-photon absorption. We show the construction of arbitrary 3D structures built with voxels of diameters down to 400 nm on the other side of the fiber. To our knowledge, this is the first demonstration of microfabrication through a multimode optical fiber. The proposed printing nozzle can reach and manufacture micro-structures in otherwise inaccessible areas through small apertures. Our work represents a new area which we refer to as endofabrication.

  19. A Multimodality Hybrid Gamma-Optical Camera for Intraoperative Imaging

    PubMed Central

    Lees, John E.; Bugby, Sarah L.; Alqahtani, Mohammed S.; Jambi, Layal K.; Dawood, Numan S.; McKnight, William R.; Ng, Aik H.; Perkins, Alan C.

    2017-01-01

    The development of low profile gamma-ray detectors has encouraged the production of small field of view (SFOV) hand-held imaging devices for use at the patient bedside and in operating theatres. Early development of these SFOV cameras was focussed on a single modality—gamma ray imaging. Recently, a hybrid system—gamma plus optical imaging—has been developed. This combination of optical and gamma cameras enables high spatial resolution multi-modal imaging, giving a superimposed scintigraphic and optical image. Hybrid imaging offers new possibilities for assisting clinicians and surgeons in localising the site of uptake in procedures such as sentinel node detection. The hybrid camera concept can be extended to a multimodal detector design which can offer stereoscopic images, depth estimation of gamma-emitting sources, and simultaneous gamma and fluorescence imaging. Recent improvements to the hybrid camera have been used to produce dual-modality images in both laboratory simulations and in the clinic. Hybrid imaging of a patient who underwent thyroid scintigraphy is reported. In addition, we present data which shows that the hybrid camera concept can be extended to estimate the position and depth of radionuclide distribution within an object and also report the first combined gamma and Near-Infrared (NIR) fluorescence images. PMID:28282957

  20. Multimodal digital color imaging system for facial skin lesion analysis

    NASA Astrophysics Data System (ADS)

    Bae, Youngwoo; Lee, Youn-Heum; Jung, Byungjo

    2008-02-01

    In dermatology, various digital imaging modalities have been used as an important tool to quantitatively evaluate the treatment effect of skin lesions. Cross-polarization color image was used to evaluate skin chromophores (melanin and hemoglobin) information and parallel-polarization image to evaluate skin texture information. In addition, UV-A induced fluorescent image has been widely used to evaluate various skin conditions such as sebum, keratosis, sun damages, and vitiligo. In order to maximize the evaluation efficacy of various skin lesions, it is necessary to integrate various imaging modalities into an imaging system. In this study, we propose a multimodal digital color imaging system, which provides four different digital color images of standard color image, parallel and cross-polarization color image, and UV-A induced fluorescent color image. Herein, we describe the imaging system and present the examples of image analysis. By analyzing the color information and morphological features of facial skin lesions, we are able to comparably and simultaneously evaluate various skin lesions. In conclusion, we are sure that the multimodal color imaging system can be utilized as an important assistant tool in dermatology.

  1. Cognitive-Aware Modality Allocation in Intelligent Multimodal Information Presentation

    NASA Astrophysics Data System (ADS)

    Cao, Yujia; Theune, Mariët; Nijholt, Anton

    Intelligent multimodal presentation (IMMP) systems are able to generate multimodal presentations adaptively, based on the run-time requirements of user-computer interaction. Modality allocation in IMMP system needs to adapt the modality choice to changes in various relevant factors, such as the type of information to be conveyed, the presentation goal, the characteristics of the available modalities, the user profile, the condition of the environment, and the type of user task. In this study, we emphasize that modality allocation in IMMP systems should also take into account the cognitive impacts of modality on human information processing. We first describe several modality-related cognitive and neuropsychological findings. Then a user study is presented to demonstrate the effects of modality on performance, cognitive load and stress, using a high-load and time-critical user task. Finally, we show a possible way to integrate relevant cognitive theories into a computational model that can systematically predict the suitability of a modality choice for a given presentation task.

  2. U.S. Army Research Laboratory (ARL) multimodal signatures database

    NASA Astrophysics Data System (ADS)

    Bennett, Kelly

    2008-04-01

    The U.S. Army Research Laboratory (ARL) Multimodal Signatures Database (MMSDB) is a centralized collection of sensor data of various modalities that are co-located and co-registered. The signatures include ground and air vehicles, personnel, mortar, artillery, small arms gunfire from potential sniper weapons, explosives, and many other high value targets. This data is made available to Department of Defense (DoD) and DoD contractors, Intel agencies, other government agencies (OGA), and academia for use in developing target detection, tracking, and classification algorithms and systems to protect our Soldiers. A platform independent Web interface disseminates the signatures to researchers and engineers within the scientific community. Hierarchical Data Format 5 (HDF5) signature models provide an excellent solution for the sharing of complex multimodal signature data for algorithmic development and database requirements. Many open source tools for viewing and plotting HDF5 signatures are available over the Web. Seamless integration of HDF5 signatures is possible in both proprietary computational environments, such as MATLAB, and Free and Open Source Software (FOSS) computational environments, such as Octave and Python, for performing signal processing, analysis, and algorithm development. Future developments include extending the Web interface into a portal system for accessing ARL algorithms and signatures, High Performance Computing (HPC) resources, and integrating existing database and signature architectures into sensor networking environments.

  3. Plateau Waves of Intracranial Pressure and Multimodal Brain Monitoring.

    PubMed

    Dias, Celeste; Maia, Isabel; Cerejo, Antonio; Smielewski, Peter; Paiva, José-Artur; Czosnyka, Marek

    2016-01-01

    The aim of this study was to describe multimodal brain monitoring characteristics during plateau waves of intracranial pressure (ICP) in patients with head injury, using ICM+ software for continuous recording. Plateau waves consist of an abrupt elevation of ICP above 40 mmHg for 5-20 min. This is a prospective observational study of patients with head injury who were admitted to a neurocritical care unit and who developed plateau waves. We analyzed 59 plateau waves that occurred in 8 of 18 patients (44 %). At the top of plateau waves arterial blood pressure remained almost constant, but cerebral perfusion pressure, cerebral blood flow, brain tissue oxygenation, and cerebral oximetry decreased. After plateau waves, patients with a previously better autoregulation status developed hyperemia, demonstrated by an increase in cerebral blood flow and brain oxygenation. Pressure and oxygen cerebrovascular reactivity indexes (pressure reactivity index and ORxshort) increased significantly during the plateau wave as a sign of disruption of autoregulation. Bedside multimodal brain monitoring is important to characterize increases in ICP and give differential diagnoses of plateau waves, as management of this phenomenon differs from that of regular ICP.

  4. Automatic lip reading by using multimodal visual features

    NASA Astrophysics Data System (ADS)

    Takahashi, Shohei; Ohya, Jun

    2013-12-01

    Since long time ago, speech recognition has been researched, though it does not work well in noisy places such as in the car or in the train. In addition, people with hearing-impaired or difficulties in hearing cannot receive benefits from speech recognition. To recognize the speech automatically, visual information is also important. People understand speeches from not only audio information, but also visual information such as temporal changes in the lip shape. A vision based speech recognition method could work well in noisy places, and could be useful also for people with hearing disabilities. In this paper, we propose an automatic lip-reading method for recognizing the speech by using multimodal visual information without using any audio information such as speech recognition. First, the ASM (Active Shape Model) is used to track and detect the face and lip in a video sequence. Second, the shape, optical flow and spatial frequencies of the lip features are extracted from the lip detected by ASM. Next, the extracted multimodal features are ordered chronologically so that Support Vector Machine is performed in order to learn and classify the spoken words. Experiments for classifying several words show promising results of this proposed method.

  5. High performance multimodal CARS microscopy using a single femtosecond source

    NASA Astrophysics Data System (ADS)

    Pegoraro, Adrian F.; Slepkov, Aaron D.; Ridsdale, Andrew; Lyn, Rodney K.; Moffatt, Douglas J.; Pezacki, John Paul; Thomas, Brian K.; Fu, Libin; Dong, Liang; Fermann, Martin E.; Stolow, Albert

    2010-02-01

    Traditional CARS microscopy using picosecond (ps) lasers has been applied to a wide variety of applications; however, the lasers required are expensive and require an environmentally stable lab. In our work, we demonstrate CARS microscopy using a single femtosecond (fs) laser combined with a photonic crystal fiber (PCF) and optimal chirping to achieve similar performance to the ps case with important added advantages: fs-CARS utilizes versatile source that allows CARS to be combined with other multiphoton techniques (e.g. SHG, TPF) for multimodal imaging without changing laser sources. This provides an attractive entry point for many researchers to the field. Furthermore, optimal chirping in fs-CARS also opens the door to the combination and extension of other techniques used in ps CARS microscopy such as multiplex and FM imaging. The key advantage with chirped fs pulses is that time delay corresponds to spectral scanning and allows for rapid modulation of the resonant CARS signal. The combination of a fs oscillator with a PCF leads to a natural extension of the technology towards an all-fiber source for multimodal multiphoton microscopy. An all-fiber system should be more robust against environmental fluctuations while being more compact than free-space systems. We have constructed and demonstrated a proof of concept all-fiber based source that can be used for simultaneous CARS, TPF and SHG imaging. This system is capable of imaging tissue samples and live cell cultures with 4 μs/pixel dwell time at low average powers.

  6. Human Behavior Analysis by Means of Multimodal Context Mining

    PubMed Central

    Banos, Oresti; Villalonga, Claudia; Bang, Jaehun; Hur, Taeho; Kang, Donguk; Park, Sangbeom; Huynh-The, Thien; Le-Ba, Vui; Amin, Muhammad Bilal; Razzaq, Muhammad Asif; Khan, Wahajat Ali; Hong, Choong Seon; Lee, Sungyoung

    2016-01-01

    There is sufficient evidence proving the impact that negative lifestyle choices have on people’s health and wellness. Changing unhealthy behaviours requires raising people’s self-awareness and also providing healthcare experts with a thorough and continuous description of the user’s conduct. Several monitoring techniques have been proposed in the past to track users’ behaviour; however, these approaches are either subjective and prone to misreporting, such as questionnaires, or only focus on a specific component of context, such as activity counters. This work presents an innovative multimodal context mining framework to inspect and infer human behaviour in a more holistic fashion. The proposed approach extends beyond the state-of-the-art, since it not only explores a sole type of context, but also combines diverse levels of context in an integral manner. Namely, low-level contexts, including activities, emotions and locations, are identified from heterogeneous sensory data through machine learning techniques. Low-level contexts are combined using ontological mechanisms to derive a more abstract representation of the user’s context, here referred to as high-level context. An initial implementation of the proposed framework supporting real-time context identification is also presented. The developed system is evaluated for various realistic scenarios making use of a novel multimodal context open dataset and data on-the-go, demonstrating prominent context-aware capabilities at both low and high levels. PMID:27517928

  7. Multimodal correlation and intraoperative matching of virtual models in neurosurgery

    NASA Technical Reports Server (NTRS)

    Ceresole, Enrico; Dalsasso, Michele; Rossi, Aldo

    1994-01-01

    The multimodal correlation between different diagnostic exams, the intraoperative calibration of pointing tools and the correlation of the patient's virtual models with the patient himself, are some examples, taken from the biomedical field, of a unique problem: determine the relationship linking representation of the same object in different reference frames. Several methods have been developed in order to determine this relationship, among them, the surface matching method is one that gives the patient minimum discomfort and the errors occurring are compatible with the required precision. The surface matching method has been successfully applied to the multimodal correlation of diagnostic exams such as CT, MR, PET and SPECT. Algorithms for automatic segmentation of diagnostic images have been developed to extract the reference surfaces from the diagnostic exams, whereas the surface of the patient's skull has been monitored, in our approach, by means of a laser sensor mounted on the end effector of an industrial robot. An integrated system for virtual planning and real time execution of surgical procedures has been realized.

  8. Multimodal chromatography: an efficient tool in downstream processing of proteins.

    PubMed

    Kallberg, Kristian; Johansson, Hans-Olof; Bulow, Leif

    2012-12-01

    Chromatography has become an indispensable tool for the purification of proteins. Since the regulatory demands on protein purity are expected to become stricter, the need for generating improved resins for chromatographic separations has increased. More advanced scientific investigations of protein structure/function relationships, in particular, have also been a driving force for generating more sophisticated chromatographic materials for protein separations. As a consequence, the development of alternative chromatographic strategies has been very rapid during the past decade and several new ligands have been designed and explored both in the laboratory and in large-scale industrial settings. This review describes some of these efforts using multimodal chromatography, where two or more physicochemical properties are used to enhance the specificity of the interactions between the protein and the ligand on the chromatographic matrix. In addition to experimental studies, computer modeling of ligand-protein binding has improved the design of ligands for protein recognition. The use of descriptors as well as in silico docking methods have been implemented to design multimodal resins in several instances.

  9. Multi-mode reliability-based design of horizontal curves.

    PubMed

    Essa, Mohamed; Sayed, Tarek; Hussein, Mohamed

    2016-08-01

    Recently, reliability analysis has been advocated as an effective approach to account for uncertainty in the geometric design process and to evaluate the risk associated with a particular design. In this approach, a risk measure (e.g. probability of noncompliance) is calculated to represent the probability that a specific design would not meet standard requirements. The majority of previous applications of reliability analysis in geometric design focused on evaluating the probability of noncompliance for only one mode of noncompliance such as insufficient sight distance. However, in many design situations, more than one mode of noncompliance may be present (e.g. insufficient sight distance and vehicle skidding at horizontal curves). In these situations, utilizing a multi-mode reliability approach that considers more than one failure (noncompliance) mode is required. The main objective of this paper is to demonstrate the application of multi-mode (system) reliability analysis to the design of horizontal curves. The process is demonstrated by a case study of Sea-to-Sky Highway located between Vancouver and Whistler, in southern British Columbia, Canada. Two noncompliance modes were considered: insufficient sight distance and vehicle skidding. The results show the importance of accounting for several noncompliance modes in the reliability model. The system reliability concept could be used in future studies to calibrate the design of various design elements in order to achieve consistent safety levels based on all possible modes of noncompliance.

  10. Evaluation of selectivity in homologous multimodal chromatographic systems using in silico designed antibody fragment libraries.

    PubMed

    Karkov, Hanne Sophie; Woo, James; Krogh, Berit Olsen; Ahmadian, Haleh; Cramer, Steven M

    2015-12-24

    This study describes the in silico design, surface property analyses, production and chromatographic evaluations of a diverse set of antibody Fab fragment variants. Based on previous findings, we hypothesized that the complementarity-determining regions (CDRs) constitute important binding sites for multimodal chromatographic ligands. Given that antibodies are highly diversified molecules and in particular the CDRs, we set out to examine the generality of this result. For this purpose, four different Fab fragments with different CDRs and/or framework regions of the variable domains were identified and related variants were designed in silico. The four Fab variant libraries were subsequently generated by site-directed mutagenesis and produced by recombinant expression and affinity purification to enable examination of their chromatographic retention behavior. The effects of geometric re-arrangement of the functional moieties on the multimodal resin ligands were also investigated with respect to Fab variant retention profiles by comparing two commercially available multimodal cation-exchange ligands, Capto MMC and Nuvia cPrime, and two novel multimodal ligand prototypes. Interestingly, the chromatographic data demonstrated distinct selectivity trends between the four Fab variant libraries. For three of the Fab libraries, the CDR regions appeared as major binding sites for all multimodal ligands. In contrast, the fourth Fab library displayed a distinctly different chromatographic behavior, where Nuvia cPrime and related multimodal ligand prototypes provided markedly improved selectivity over Capto MMC. Clearly, the results illustrate that the discriminating power of multimodal ligands differs between different Fab fragments. The results are promising indications that multimodal chromatography using the appropriate multimodal ligands can be employed in downstream bioprocessing for challenging selective separation of product related variants.

  11. Short-cavity multimode fiber-tip Fabry-Pérot sensors.

    PubMed

    Wu, Xuan; Solgaard, Olav

    2013-06-17

    We make the case for minimizing cavity length of extrinsic Fabry-Pérot (FP) cavities for use in fiber-tip sensors. Doing so mitigates multiple challenges that arise from using multimode fibers: mode averaging, phase uncertainty, amplitude reduction, and spectral modal noise. We explore these effects in detail using modal simulations, and construct pressure sensors based on this principle. We discuss the multimodal effects that we observe in our fiber sensors, and use simple filtering of the spectral signal to more easily measure pressure sensitivity. The concept of short-cavity FP interferometry is important for ensuring high quality and performance of multimode fiber sensors.

  12. Multimodal Semiosis in Science Read-Alouds: Extending Beyond Text Delivery

    NASA Astrophysics Data System (ADS)

    Oliveira, Alandeom W.; Rivera, Seema; Glass, Rory; Mastroianni, Michael; Wizner, Francine; Amodeo, Vincent

    2014-10-01

    This study examines elementary teachers reading children's science books aloud to students in the US. Our findings show that science read-aloud semiosis (meaning-making) extends beyond text delivery. In addition to making a written text orally available to students, teachers also deploy different types of gestures (pointing and iconic gesticulation) and pictorial representations (narrative and conceptual) as they scaffold students' understandings. Further, teachers are shown to engage in two distinct forms of meaning-making: multimodal description and multimodal explanation. A conceptual framework is proposed that elementary science educators can use to systematically incorporate multimodality into aloud reading practices.

  13. Multimode-oriented polynomial transformation-based defuzzification strategy and parameter learning procedure.

    PubMed

    Jiang, T; Li, Y

    1997-01-01

    In an earlier paper (1996), we proposed a set of generalized defuzzification strategies which can be characterized as single-mode-oriented strategies. A single-mode-oriented defuzzification strategy, although useful in many research projects and real world applications, cannot be applied to a multimode situation where two or more distinct possibility peaks exist in its membership function distribution. In this paper, for multimode-oriented generalized defuzzification applications, a multimode-oriented polynomial transformation based defuzzification strategy (M-PTD) is introduced. The new M-PTD strategy, which uses the Kalman filter in parameter learning procedure, offers a constraint-free and self-renewal defuzzification solution.

  14. Gold Nanoconstructs for Multimodal Diagnostic Imaging and Photothermal Cancer Therapy

    NASA Astrophysics Data System (ADS)

    Coughlin, Andrew James

    Cancer accounts for nearly 1 out of every 4 deaths in the United States, and because conventional treatments are limited by morbidity and off-target toxicities, improvements in cancer management are needed. This thesis further develops nanoparticle-assisted photothermal therapy (NAPT) as a viable treatment option for cancer patients. NAPT enables localized ablation of disease because heat generation only occurs where tissue permissive near-infrared (NIR) light and absorbing nanoparticles are combined, leaving surrounding normal tissue unharmed. Two principle approaches were investigated to improve the specificity of this technique: multimodal imaging and molecular targeting. Multimodal imaging affords the ability to guide NIR laser application for site-specific NAPT and more holistic characterization of disease by combining the advantages of several diagnostic technologies. Towards the goal of image-guided NAPT, gadolinium-conjugated gold-silica nanoshells were engineered and demonstrated to enhance imaging contrast across a range of diagnostic modes, including T1-weighted magnetic resonance imaging, X-Ray, optical coherence tomography, reflective confocal microscopy, and two-photon luminescence in vitro as well as within an animal tumor model. Additionally, the nanoparticle conjugates were shown to effectively convert NIR light to heat for applications in photothermal therapy. Therefore, the broad utility of gadolinium-nanoshells for anatomic localization of tissue lesions, molecular characterization of malignancy, and mediators of ablation was established. Molecular targeting strategies may also improve NAPT by promoting nanoparticle uptake and retention within tumors and enhancing specificity when malignant and normal tissue interdigitate. Here, ephrinA1 protein ligands were conjugated to nanoshell surfaces for particle homing to overexpressed EphA2 receptors on prostate cancer cells. In vitro, successful targeting and subsequent photothermal ablation of

  15. "Look at what I am saying": Multimodal science teaching

    NASA Astrophysics Data System (ADS)

    Pozzer-Ardenghi, Lilian

    Language constitutes the dominant representational mode in science teaching, and lectures are still the most prevalent of the teaching methods in school science. In this dissertation, I investigate lectures from a multimodal and communicative perspective to better understand how teaching as a cultural-historical and social activity unfolds; that is, I am concerned with teaching as a communicative event, where a variety of signs (or semiotic resources), expressed in diverse modalities (or modes of communication) are produced and reproduced while the teacher articulates very specific conceptual meanings for the students. Within a trans-disciplinary approach that merges theoretical and methodical frameworks of social and cultural studies of human activity and interaction, communicative and gestures studies, linguistics, semiotics, pragmatics, and studies on teaching and learning science, I investigate teaching as a communicative, dynamic, multimodal, and social activity. My research questions include: What are the resources produced and reproduced in the classroom when the teacher is lecturing? How do these resources interact with each other? What meanings do they carry and how are these associated to achieve the coherence necessary to accomplish the communication of complex and abstract scientific concepts, not only within one lecture, but also within an entire unit of the curricula encompassing various lectures? My results show that, when lecturing, the communication of scientific concepts occur along trajectories driven by the dialectical relation among the various semiotic resources a lecturer makes available that together constitute a unit---the idea. Speech, gestures, and other nonverbal resources are but one-sided expressions of a higher order communicative meaning unit. The iterable nature of the signs produced and reproduced during science lectures permits, supports, and encourages the repetition, variation, and translation of ideas, themes, and languages and

  16. Compact silicon multimode waveguide spectrometer with enhanced bandwidth

    PubMed Central

    Piels, Molly; Zibar, Darko

    2017-01-01

    Compact, broadband, and high-resolution spectrometers are appealing for sensing applications, but difficult to fabricate. Here we show using calibration data a spectrometer based on a multimode waveguide with 2 GHz resolution, 250 GHz bandwidth, and a 1.6 mm × 2.1 mm footprint. Typically, such spectrometers have a bandwidth limited by the number of modes supported by the waveguide. In this case, an on-chip mode-exciting element is used to repeatably excite distinct collections of waveguide modes. This increases the number of independent spectral channels from the number of modes to this number squared, resulting in an extension of the usable range. PMID:28290537

  17. Optical mode switch based on multimode interference couplers

    NASA Astrophysics Data System (ADS)

    Xiao, Huifu; Deng, Lin; Zhao, Guolin; Liu, Zilong; Meng, Yinghao; Guo, Xiaonan; Liu, Guipeng; Liu, Su; Ding, Jianfeng; Tian, Yonghui

    2017-02-01

    In this paper, we propose an optical mode switch based on two cascaded multimode interference (MMI) couplers. After a fundamental mode divided into two equal-power fundamental modes in the first MMI coupler, the thermo-optic effect is employed to modulate the phase of the two fundamental modes before directed to the next MMI for the purpose of mode switching. By adjusting the electric signals applied to the modulation arms, the proposed device can implement mode switching in three states: (a) one first-order and two fundamental modes simultaneously output, (b) one first-order mode output, and (c) two fundamental modes output. As a result, the simulated excess losses are -0.29 dB, -0.10 dB, and -0.63 dB, respectively.

  18. Direct-detection wind lidar operating with a multimode laser.

    PubMed

    Bruneau, Didier; Blouzon, Frédéric; Spatazza, Joseph; Montmessin, Franck; Pelon, Jacques; Faure, Benoît

    2013-07-10

    A direct-detection wind lidar that operates with a multimode laser has been developed and tested. The instrument exploits the light backscattered by particles using a Mach-Zehnder interferometer with an optical path difference matched to the free spectral range of the laser longitudinal modes. In addition to requiring no monomodal emission, the system requires no frequency locking between the interferometer and the laser. We report laboratory and atmospheric measurements that show that the lidar is capable of measuring the radial wind velocity with a systematic error lower than 1 ms(-1) and a random error lower than 2 ms(-1) for a signal-to-noise ratio of 100. The development is motivated by the possibility to probe wind with a compact system in planetary atmospheres.

  19. Multimodal Approach to Identifying Malingered Posttraumatic Stress Disorder: A Review

    PubMed Central

    Jabeen, Shagufta; Alam, Farzana

    2015-01-01

    The primary aim of this article is to aid clinicians in differentiating true posttraumatic stress disorder from malingered posttraumatic stress disorder. Posttraumatic stress disorder and malingering are defined, and prevalence rates are explored. Similarities and differences in diagnostic criteria between the fourth and fifth editions of the Diagnostic and Statistical Manual of Mental Disorders are described for posttraumatic stress disorder. Possible motivations for malingering posttraumatic stress disorder are discussed, and common characteristics of malingered posttraumatic stress disorder are described. A multimodal approach is described for evaluating posttraumatic stress disorder, including interview techniques, collection of collateral data, and psychometric and physiologic testing, that should allow clinicians to distinguish between those patients who are truly suffering from posttraumatic disorder and those who are malingering the illness. PMID:25852974

  20. Swarm algorithms with chaotic jumps for optimization of multimodal functions

    NASA Astrophysics Data System (ADS)

    Krohling, Renato A.; Mendel, Eduardo; Campos, Mauro

    2011-11-01

    In this article, the use of some well-known versions of particle swarm optimization (PSO) namely the canonical PSO, the bare bones PSO (BBPSO) and the fully informed particle swarm (FIPS) is investigated on multimodal optimization problems. A hybrid approach which consists of swarm algorithms combined with a jump strategy in order to escape from local optima is developed and tested. The jump strategy is based on the chaotic logistic map. The hybrid algorithm was tested for all three versions of PSO and simulation results show that the addition of the jump strategy improves the performance of swarm algorithms for most of the investigated optimization problems. Comparison with the off-the-shelf PSO with local topology (l best model) has also been performed and indicates the superior performance of the standard PSO with chaotic jump over the standard both using local topology (l best model).

  1. A Multimodal Database for a Home Remote Medical Care Application

    NASA Astrophysics Data System (ADS)

    Medjahed, Hamid; Istrate, Dan; Boudy, Jerome; Steenkeste, François; Baldinger, Jean-Louis; Dorizzi, Bernadette

    The home remote monitoring systems aim to make a protective contribution to the well being of individuals (patients, elderly persons) requiring moderate amounts of support for independent living spaces, and improving their everyday life. Existing researches of these systems suffer from lack of experimental data and a standard medical database intended for their validation and improvement. This paper presents a multi-sensors environment for acquiring and recording a multimodal medical database, which includes physiological data (cardiac frequency, activity or agitation, posture, fall), environment sounds and localization data. It provides graphical interface functions to manage, process and index these data. The paper focuses on the system implementation, its usage and it points out possibilities for future work.

  2. Unobtrusive Multimodal Biometric Authentication: The HUMABIO Project Concept

    NASA Astrophysics Data System (ADS)

    Damousis, Ioannis G.; Tzovaras, Dimitrios; Bekiaris, Evangelos

    2008-12-01

    Human Monitoring and Authentication using Biodynamic Indicators and Behavioural Analysis (HUMABIO) (2007) is an EU Specific Targeted Research Project (STREP) where new types of biometrics are combined with state of the art sensorial technologies in order to enhance security in a wide spectrum of applications. The project aims to develop a modular, robust, multimodal biometrics security authentication and monitoring system which utilizes a biodynamic physiological profile, unique for each individual, and advancements of the state-of-the art in behavioural and other biometrics, such as face, speech, gait recognition, and seat-based anthropometrics. Several shortcomings in biometric authentication will be addressed in the course of HUMABIO which will provide the basis for improving existing sensors, develop new algorithms, and design applications, towards creating new, unobtrusive biometric authentication procedures in security sensitive, controlled environments. This paper presents the concept of this project, describes its unobtrusive authentication demonstrator, and reports some preliminary results.

  3. Multimodal tuned dynamic absorber for split Stirling linear cryocooler

    NASA Astrophysics Data System (ADS)

    Veprik, Alexander; Tuito, Avi

    2016-05-01

    Low size, weight, power and price split Stirling linear cryocooler usually comprises electro-dynamically driven compressor and pneumatically driven expander which are side-by-side fixedly mounted upon the common frame and interconnected by the configurable transfer line. Vibration export produced by such a cryocooler comprises of a pair of tonal forces, the frequency of which essentially equals fixed driving frequency. In vibration sensitive applications, this may result in excessive angular line of sight jitter and translational defocusing affecting the image quality. The authors present Multimodal Tuned Dynamic Absorber, having one translational and two tilting modes essentially tuned to the driving frequency. Dynamic analysis shows that the dynamic reactions (force and moment) produced by such a dynamic absorber are capable of simultaneous attenuation of translational and tilting components of cryocooler induced vibration. The authors reveal the preferable design, the method of fine tuning and outcomes of numerical simulation on attainable performance.

  4. TOPICAL REVIEW: Multimodality imaging of structure and function

    NASA Astrophysics Data System (ADS)

    Townsend, D. W.

    2008-02-01

    Historically, medical devices to image either anatomical structure or functional processes have developed along somewhat independent paths. The recognition that combining images from different modalities can nevertheless offer significant diagnostic advantages gave rise to sophisticated software techniques to coregister structure and function. Recently, alternatives to retrospective software-based fusion have become available through instrumentation that combines two imaging modalities within a single device, an approach that has since been termed hardware fusion. As a result, following their recent introduction into the clinic, combined PET/CT and SPECT/CT devices are now playing an increasingly important role in the diagnosis and staging of human disease. Recently, although limited to the brain, the first clinical MR scanner with a PET insert, a technically-challenging design, has been undergoing evaluation. This review will follow the development of multimodality instrumentation for clinical use from conception to present-day technology and assess the status and future potential for such devices.

  5. Near-field hyperspectral quantum probing of multimodal plasmonic resonators

    NASA Astrophysics Data System (ADS)

    Cuche, A.; Berthel, M.; Kumar, U.; Colas des Francs, G.; Huant, S.; Dujardin, E.; Girard, C.; Drezet, A.

    2017-03-01

    Quantum systems, excited by an external source of photons, display a photodynamics that is ruled by a subtle balance between radiative or nonradiative energy channels when interacting with metallic nanostructures. We apply and generalize this concept to achieve a quantum probing of multimodal plasmonic resonators by collecting and filtering the broad emission spectra generated by a nanodiamond (ND) hosting a small set of nitrogen-vacancy (NV) color centers attached at the apex of an optical tip. Spatially and spectrally resolved information on the photonic local density of states (ph-LDOS) can be recorded with this technique in the immediate vicinity of plasmonic resonators, paving the way for a complete near-field optical characterization of any kind of nanoresonators in the single photon regime.

  6. TDRSS multimode transponder program. Phase 2: Equipment development

    NASA Technical Reports Server (NTRS)

    Cnossen, R. S.

    1974-01-01

    This report contains a complete description of the TDRS Multimode Transponder and its associated ground support equipment. The transponder will demonstrate candidate modulation techniques to provide the required information for the design of an eventual VHF/UHF transponder suitable for installation in a user satellite, capable of operating as part of a Tracking and Data Relay Satellite (TDRS) systems. Use of geosynchronous TDRS which can serve both low data rate users at VHF and high data rate users at other frequencies has been considered. The effects of radio frequency interference from the earth and of multipath propagation due to reflections from the earth are expected to pose problems for the TDRS system at VHF. Investigations have suggested several modulation techniques that offer promise to overcome these problems.

  7. Robotic multimodality stereotactic brain tissue identification: work in progress

    NASA Technical Reports Server (NTRS)

    Andrews, R.; Mah, R.; Galvagni, A.; Guerrero, M.; Papasin, R.; Wallace, M.; Winters, J.

    1997-01-01

    Real-time identification of tissue would improve procedures such as stereotactic brain biopsy (SBX), functional and implantation neurosurgery, and brain tumor excision. To standard SBX equipment has been added: (1) computer-controlled stepper motors to drive the biopsy needle/probe precisely; (2) multiple microprobes to track tissue density, detect blood vessels and changes in blood flow, and distinguish the various tissues being penetrated; (3) neural net learning programs to allow real-time comparisons of current data with a normative data bank; (4) three-dimensional graphic displays to follow the probe as it traverses brain tissue. The probe can differentiate substances such as pig brain, differing consistencies of the 'brain-like' foodstuff tofu, and gels made to simulate brain, as well as detect blood vessels imbedded in these substances. Multimodality probes should improve the safety, efficacy, and diagnostic accuracy of SBX and other neurosurgical procedures.

  8. Exploiting multimode waveguides for pure fibre-based imaging.

    PubMed

    Cižmár, Tomáš; Dholakia, Kishan

    2012-01-01

    There has been an immense drive in modern microscopy towards miniaturization and fibre-based technology. This has been necessitated by the need to access hostile or difficult environments in situ and in vivo. Strategies to date have included the use of specialist fibres and miniaturized scanning systems accompanied by ingenious microfabricated lenses. Here we present a novel approach for this field by utilizing disordered light within a standard multimode optical fibre for lensless microscopy and optical mode conversion. We demonstrate the modalities of bright- and dark-field imaging and scanning fluorescence microscopy at acquisition rates that allow observation of dynamic processes such as Brownian motion of mesoscopic particles. Furthermore, we show how such control can realize a new form of mode converter and generate various types of advanced light fields such as propagation-invariant beams and optical vortices. These may be useful for future fibre-based implementations of super-resolution or light-sheet microscopy.

  9. Fourier domain asymmetric cryptosystem for privacy protected multimodal biometric security

    NASA Astrophysics Data System (ADS)

    Choudhury, Debesh

    2016-04-01

    We propose a Fourier domain asymmetric cryptosystem for multimodal biometric security. One modality of biometrics (such as face) is used as the plaintext, which is encrypted by another modality of biometrics (such as fingerprint). A private key is synthesized from the encrypted biometric signature by complex spatial Fourier processing. The encrypted biometric signature is further encrypted by other biometric modalities, and the corresponding private keys are synthesized. The resulting biometric signature is privacy protected since the encryption keys are provided by the human, and hence those are private keys. Moreover, the decryption keys are synthesized using those private encryption keys. The encrypted signatures are decrypted using the synthesized private keys and inverse complex spatial Fourier processing. Computer simulations demonstrate the feasibility of the technique proposed.

  10. Feature quality-based multimodal unconstrained eye recognition

    NASA Astrophysics Data System (ADS)

    Zhou, Zhi; Du, Eliza Y.; Lin, Yong; Thomas, N. Luke; Belcher, Craig; Delp, Edward J.

    2013-05-01

    Iris recognition has been tested to the most accurate biometrics using high resolution near infrared images. However, it does not work well under visible wavelength illumination. Sclera recognition, however, has been shown to achieve reasonable recognition accuracy under visible wavelengths. Combining iris and sclera recognition together can achieve better recognition accuracy. However, image quality can significantly affect the recognition accuracy. Moreover, in unconstrained situations, the acquired eye images may not be frontally facing. In this research, we proposed a feature quality-based multimodal unconstrained eye recognition method that combine the respective strengths of iris recognition and sclera recognition for human identification and can work with frontal and off-angle eye images. The research results show that the proposed method is very promising.

  11. Social Network Extraction and Analysis Based on Multimodal Dyadic Interaction

    PubMed Central

    Escalera, Sergio; Baró, Xavier; Vitrià, Jordi; Radeva, Petia; Raducanu, Bogdan

    2012-01-01

    Social interactions are a very important component in people’s lives. Social network analysis has become a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore the characteristics of a social network extracted from multimodal dyadic interactions. For our study, we used a set of videos belonging to New York Times’ Blogging Heads opinion blog. The Social Network is represented as an oriented graph, whose directed links are determined by the Influence Model. The links’ weights are a measure of the “influence” a person has over the other. The states of the Influence Model encode automatically extracted audio/visual features from our videos using state-of-the art algorithms. Our results are reported in terms of accuracy of audio/visual data fusion for speaker segmentation and centrality measures used to characterize the extracted social network. PMID:22438733

  12. Magnetically engineered semiconductor quantum dots as multimodal imaging probes.

    PubMed

    Jing, Lihong; Ding, Ke; Kershaw, Stephen V; Kempson, Ivan M; Rogach, Andrey L; Gao, Mingyuan

    2014-10-08

    Light-emitting semiconductor quantum dots (QDs) combined with magnetic resonance imaging contrast agents within a single nanoparticle platform are considered to perform as multimodal imaging probes in biomedical research and related clinical applications. The principles of their rational design are outlined and contemporary synthetic strategies are reviewed (heterocrystalline growth; co-encapsulation or assembly of preformed QDs and magnetic nanoparticles; conjugation of magnetic chelates onto QDs; and doping of QDs with transition metal ions), identifying the strengths and weaknesses of different approaches. Some of the opportunities and benefits that arise through in vivo imaging using these dual-mode probes are highlighted where tumor location and delineation is demonstrated in both MRI and fluorescence modality. Work on the toxicological assessments of QD/magnetic nanoparticles is also reviewed, along with progress in reducing their toxicological side effects for eventual clinical use. The review concludes with an outlook for future biomedical imaging and the identification of key challenges in reaching clinical applications.

  13. Social network extraction and analysis based on multimodal dyadic interaction.

    PubMed

    Escalera, Sergio; Baró, Xavier; Vitrià, Jordi; Radeva, Petia; Raducanu, Bogdan

    2012-01-01

    Social interactions are a very important component in people's lives. Social network analysis has become a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore the characteristics of a social network extracted from multimodal dyadic interactions. For our study, we used a set of videos belonging to New York Times' Blogging Heads opinion blog. The Social Network is represented as an oriented graph, whose directed links are determined by the Influence Model. The links' weights are a measure of the "influence" a person has over the other. The states of the Influence Model encode automatically extracted audio/visual features from our videos using state-of-the art algorithms. Our results are reported in terms of accuracy of audio/visual data fusion for speaker segmentation and centrality measures used to characterize the extracted social network.

  14. Multimodal biometric-information fusion using the Radon transform

    NASA Astrophysics Data System (ADS)

    Chaudhari, Jitendra P.; Dixit, Vaibhav V.; Patil, Pradeep M.; Kosta, Yogesh P.

    2015-03-01

    This paper proposes multimodal biometric-based personal identification. Palmprint and fingerprint modalities are utilized in the proposed model due to the availability of more distinctive features and the ease of capture. Principle lines are the main discriminative features in the palmprint, whereas orientations of the ridge and valley structures are the main features by which to identify the fingerprint. To extract these features, the use of the Radon transform is proposed in this work. However, the Radon transform is sensitive to the orientation. In order to make the model rotation invariant and insensitive to noise, a normalization process is generally used. Here, a logarithm-based normalization process has been utilized in the proposed model. A Euclidean-based matching process that is invariant to the rotation has been used. The proposed model is applicable to low resolution images and is invariant to rotation, insensitive to noise, and has less computational complexity as compared to other models.

  15. Multi-modal cockpit interface for improved airport surface operations

    NASA Technical Reports Server (NTRS)

    Arthur, Jarvis J. (Inventor); Bailey, Randall E. (Inventor); Prinzel, III, Lawrence J. (Inventor); Kramer, Lynda J. (Inventor); Williams, Steven P. (Inventor)

    2010-01-01

    A system for multi-modal cockpit interface during surface operation of an aircraft comprises a head tracking device, a processing element, and a full-color head worn display. The processing element is configured to receive head position information from the head tracking device, to receive current location information of the aircraft, and to render a virtual airport scene corresponding to the head position information and the current aircraft location. The full-color head worn display is configured to receive the virtual airport scene from the processing element and to display the virtual airport scene. The current location information may be received from one of a global positioning system or an inertial navigation system.

  16. Compact multiwavelength transmitter module for multimode fiber optic ribbon cable

    DOEpatents

    Deri, Robert J.; Pocha, Michael D.; Larson, Michael C.; Garrett, Henry E.

    2002-01-01

    A compact multiwavelength transmitter module for multimode fiber optic ribbon cable, which couples light from an M.times.N array of emitters onto N fibers, where the M wavelength may be distributed across two or more vertical-cavity surface-emitting laser (VCSEL) chips, and combining emitters and multiplexer into a compact package that is compatible with placement on a printed circuit board. A key feature is bringing together two emitter arrays fabricated on different substrates--each array designed for a different wavelength--into close physical proximity. Another key feature is to compactly and efficiently combine the light from two or more clusters of optical emitters, each in a different wavelength band, into a fiber ribbon.

  17. Multimodal Correlative Preclinical Whole Body Imaging and Segmentation

    PubMed Central

    Akselrod-Ballin, Ayelet; Dafni, Hagit; Addadi, Yoseph; Biton, Inbal; Avni, Reut; Brenner, Yafit; Neeman, Michal

    2016-01-01

    Segmentation of anatomical structures and particularly abdominal organs is a fundamental problem for quantitative image analysis in preclinical research. This paper presents a novel approach for whole body segmentation of small animals in a multimodal setting of MR, CT and optical imaging. The algorithm integrates multiple imaging sequences into a machine learning framework, which generates supervoxels by an efficient hierarchical agglomerative strategy and utilizes multiple SVM-kNN classifiers each constrained by a heatmap prior region to compose the segmentation. We demonstrate results showing segmentation of mice images into several structures including the heart, lungs, liver, kidneys, stomach, vena cava, bladder, tumor, and skeleton structures. Experimental validation on a large set of mice and organs, indicated that our system outperforms alternative state of the art approaches. The system proposed can be generalized to various tissues and imaging modalities to produce automatic atlas-free segmentation, thereby enabling a wide range of applications in preclinical studies of small animal imaging. PMID:27325178

  18. Multiplexed electronically programmable multimode ionization detector for chromatography

    DOEpatents

    Wise, Marcus B.; Buchanan, Michelle V.

    1989-01-01

    Method and apparatus for detecting and differentiating organic compounds based on their electron affinity. An electron capture detector cell (ECD) is operated in a plurality of multiplexed electroncially programmable operating modes to alter the detector response during a single sampling cycle to acquire multiple simultaneous chromatograms corresponding to each of the different operating modes. The cell is held at a constant subatmospheric pressure while the electron collection bias voltage applied to the cell is modulated electronically to allow acquisition of multiple chromatograms for a single sample elution from a chromatograph representing three distinctly different response modes. A system is provided which automatically controls the programmed application of bias pulses at different intervals and/or amplitudes to switch the detector from an ionization mode to the electron capture mode and various degrees therebetween to provide an improved means of tuning an ECD for multimode detection and improved specificity.

  19. Multiplexed electronically programmable multimode ionization detector for chromatography

    DOEpatents

    Wise, M.B.; Buchanan, M.V.

    1988-05-19

    Method and apparatus for detecting and differentiating organic compounds based on their electron affinity. An electron capture detector cell (ECD) is operated in a plurality of multiplexed electronically programmable operating modes to alter the detector response during a single sampling cycle to acquire multiple simultaneous chromatograms corresponding to each of the different operating modes. The cell is held at a constant subatmospheric pressure while the electron collection bias voltage applied to the cell is modulated electronically to allow acquisition of multiple chromatograms for a single sample elution from a chromatograph representing three distinctly different response modes. A system is provided which automatically controls the programmed application of bias pulses at different intervals and/or amplitudes to switch the detector from an ionization mode to the electron capture mode and various degrees therebetween to provide an improved means of tuning an ECD for multimode detection and improved specificity. 6 figs.

  20. Plasmonic Gold Nanostars for Multi-Modality Sensing and Diagnostics

    PubMed Central

    Liu, Yang; Yuan, Hsiangkuo; Kersey, Farrell R.; Register, Janna K.; Parrott, Matthew C.; Vo-Dinh, Tuan

    2015-01-01

    Gold nanostars (AuNSs) are unique systems that can provide a novel multifunctional nanoplatform for molecular sensing and diagnostics. The plasmonic absorption band of AuNSs can be tuned to the near infrared spectral range, often referred to as the “tissue optical window”, where light exhibits minimal absorption and deep penetration in tissue. AuNSs have been applied for detecting disease biomarkers and for biomedical imaging using multi-modality methods including surface-enhanced Raman scattering (SERS), two-photon photoluminescence (TPL), magnetic resonance imaging (MRI), positron emission tomography (PET), and X-ray computer tomography (CT) imaging. In this paper, we provide an overview of the recent development of plasmonic AuNSs in our laboratory for biomedical applications and highlight their potential for future translational medicine as a multifunctional nanoplatform. PMID:25664431

  1. Reducing medication errors in critical care: a multimodal approach

    PubMed Central

    Kruer, Rachel M; Jarrell, Andrew S; Latif, Asad

    2014-01-01

    The Institute of Medicine has reported that medication errors are the single most common type of error in health care, representing 19% of all adverse events, while accounting for over 7,000 deaths annually. The frequency of medication errors in adult intensive care units can be as high as 947 per 1,000 patient-days, with a median of 105.9 per 1,000 patient-days. The formulation of drugs is a potential contributor to medication errors. Challenges related to drug formulation are specific to the various routes of medication administration, though errors associated with medication appearance and labeling occur among all drug formulations and routes of administration. Addressing these multifaceted challenges requires a multimodal approach. Changes in technology, training, systems, and safety culture are all strategies to potentially reduce medication errors related to drug formulation in the intensive care unit. PMID:25210478

  2. Multimodal tuned dynamic absorber for split Stirling linear cryocooler

    NASA Astrophysics Data System (ADS)

    Veprik, A.; Tuito, A.

    2017-02-01

    Forthcoming low size, weight, power and price split Stirling linear cryocoolers may rely on electro-dynamically driven single-piston compressors and pneumatically driven expanders interconnected by the configurable transfer line. For compactness, compressor and expander units may be placed in a side-by-side manner, thus producing tonal vibration export comprising force and moment components. In vibration sensitive applications, this may result in excessive angular line of sight jitter and translational defocusing affecting the image quality. The authors present Multimodal Tuned Dynamic Absorber (MTDA), having one translational and two tilting modes essentially tuned to the driving frequency. The dynamic reactions (force and moment) produced by such a MTDA are simultaneously counterbalancing force and moment vibration export produced by the cryocooler. The authors reveal the design details, the method of fine modal tuning and outcomes of numerical simulation on attainable performance.

  3. Deformable image registration for multimodal lung-cancer staging

    NASA Astrophysics Data System (ADS)

    Cheirsilp, Ronnarit; Zang, Xiaonan; Bascom, Rebecca; Allen, Thomas W.; Mahraj, Rickhesvar P. M.; Higgins, William E.

    2016-03-01

    Positron emission tomography (PET) and X-ray computed tomography (CT) serve as major diagnostic imaging modalities in the lung-cancer staging process. Modern scanners provide co-registered whole-body PET/CT studies, collected while the patient breathes freely, and high-resolution chest CT scans, collected under a brief patient breath hold. Unfortunately, no method exists for registering a PET/CT study into the space of a high-resolution chest CT scan. If this could be done, vital diagnostic information offered by the PET/CT study could be brought seamlessly into the procedure plan used during live cancer-staging bronchoscopy. We propose a method for the deformable registration of whole-body PET/CT data into the space of a high-resolution chest CT study. We then demonstrate its potential for procedure planning and subsequent use in multimodal image-guided bronchoscopy.

  4. Multi-mode ultrasonic welding control and optimization

    DOEpatents

    Tang, Jason C.H.; Cai, Wayne W

    2013-05-28

    A system and method for providing multi-mode control of an ultrasonic welding system. In one embodiment, the control modes include the energy of the weld, the time of the welding process and the compression displacement of the parts being welded during the welding process. The method includes providing thresholds for each of the modes, and terminating the welding process after the threshold for each mode has been reached, the threshold for more than one mode has been reached or the threshold for one of the modes has been reached. The welding control can be either open-loop or closed-loop, where the open-loop process provides the mode thresholds and once one or more of those thresholds is reached the welding process is terminated. The closed-loop control provides feedback of the weld energy and/or the compression displacement so that the weld power and/or weld pressure can be increased or decreased accordingly.

  5. Assessment of fibrotic liver disease with multimodal nonlinear optical microscopy

    NASA Astrophysics Data System (ADS)

    Lu, Fake; Zheng, Wei; Tai, Dean C. S.; Lin, Jian; Yu, Hanry; Huang, Zhiwei

    2010-02-01

    Liver fibrosis is the excessive accumulation of extracellular matrix proteins such as collagens, which may result in cirrhosis, liver failure, and portal hypertension. In this study, we apply a multimodal nonlinear optical microscopy platform developed to investigate the fibrotic liver diseases in rat models established by performing bile duct ligation (BDL) surgery. The three nonlinear microscopy imaging modalities are implemented on the same sectioned tissues of diseased model sequentially: i.e., second harmonic generation (SHG) imaging quantifies the contents of the collagens, the two-photon excitation fluorescence (TPEF) imaging reveals the morphology of hepatic cells, while coherent anti-Stokes Raman scattering (CARS) imaging maps the distributions of fats or lipids quantitatively across the tissue. Our imaging results show that during the development of liver fibrosis (collagens) in BDL model, fatty liver disease also occurs. The aggregated concentrations of collagen and fat constituents in liver fibrosis model show a certain correlationship between each other.

  6. Multimodal confocal mosaicing microscopy: an emphasis on squamous cell carcinoma

    NASA Astrophysics Data System (ADS)

    Chen, Nathaniel W.; Sensibaugh, Jordan; Ardeshiri, Ardaland; Blanchard, Adam; Jacques, Steven; Gareau, Daniel

    2010-02-01

    Our previous study reported a sensitivity of 96.6% and a specificity of 89.2% in rapidly detecting Basal Cell Carcinomas (BCCs) when nuclei were stained with acridine orange. Squamous Cell Carcinomas (SCCs) and infiltrative BCCs remain difficult to detect. More complete screening can be achieved utilizing both acridine orange for nuclei staining and eosin for cytoplasmic contrast, using two lasers to excite the two stains independently. Nuclear fluorescence is achieved by staining with acridine orange (0.5mM, 60 s), and cytoplasmic fluorescence is achieved by staining with eosin working solution (30 s). This work shows good morphological contrast of SCC and infiltrative BCC with eosin, acridine orange, and reflectance, and presents a means for rapid SCC and infiltrative BCC detection in fresh skin excisions using multimodal confocal microscopy. In addition, digital staining is shown to effectively simulate hematoxylin and eosin (H&E) histology with confocal mosaics.

  7. The origin of human multi-modal communication.

    PubMed

    Levinson, Stephen C; Holler, Judith

    2014-09-19

    One reason for the apparent gulf between animal and human communication systems is that the focus has been on the presence or the absence of language as a complex expressive system built on speech. But language normally occurs embedded within an interactional exchange of multi-modal signals. If this larger perspective takes central focus, then it becomes apparent that human communication has a layered structure, where the layers may be plausibly assigned different phylogenetic and evolutionary origins--especially in the light of recent thoughts on the emergence of voluntary breathing and spoken language. This perspective helps us to appreciate the different roles that the different modalities play in human communication, as well as how they function as one integrated system despite their different roles and origins. It also offers possibilities for reconciling the 'gesture-first hypothesis' with that of gesture and speech having evolved together, hand in hand--or hand in mouth, rather--as one system.

  8. Multimodality Molecular Imaging of Stem Cells Therapy for Stroke

    PubMed Central

    Zhang, Hong; Tian, Mei

    2013-01-01

    Stem cells have been proposed as a promising therapy for treating stroke. While several studies have demonstrated the therapeutic benefits of stem cells, the exact mechanism remains elusive. Molecular imaging provides the possibility of the visual representation of biological processes at the cellular and molecular level. In order to facilitate research efforts to understand the stem cells therapeutic mechanisms, we need to further develop means of monitoring these cells noninvasively, longitudinally and repeatedly. Because of tissue depth and the blood-brain barrier (BBB), in vivo imaging of stem cells therapy for stroke has unique challenges. In this review, we describe existing methods of tracking transplanted stem cells in vivo, including magnetic resonance imaging (MRI), nuclear medicine imaging, and optical imaging (OI). Each of the imaging techniques has advantages and drawbacks. Finally, we describe multimodality imaging strategies as a more comprehensive and potential method to monitor transplanted stem cells for stroke. PMID:24222920

  9. Multi-mode clustering model for hierarchical wireless sensor networks

    NASA Astrophysics Data System (ADS)

    Hu, Xiangdong; Li, Yongfu; Xu, Huifen

    2017-03-01

    The topology management, i.e., clusters maintenance, of wireless sensor networks (WSNs) is still a challenge due to its numerous nodes, diverse application scenarios and limited resources as well as complex dynamics. To address this issue, a multi-mode clustering model (M2 CM) is proposed to maintain the clusters for hierarchical WSNs in this study. In particular, unlike the traditional time-trigger model based on the whole-network and periodic style, the M2 CM is proposed based on the local and event-trigger operations. In addition, an adaptive local maintenance algorithm is designed for the broken clusters in the WSNs using the spatial-temporal demand changes accordingly. Numerical experiments are performed using the NS2 network simulation platform. Results validate the effectiveness of the proposed model with respect to the network maintenance costs, node energy consumption and transmitted data as well as the network lifetime.

  10. Developmental orofacial deficits associated with multimodal cancer therapy: Case report

    SciTech Connect

    Berkowitz, R.J.; Neuman, P.; Spalding, P.; Novak, L.; Strandjord, S.; Coccia, P.F.

    1989-09-01

    Multimodal cancer therapy for pediatric head and neck tumors may be associated with significant developmental orofacial morbidity. This report details these effects in a child (C.I.) diagnosed at 2.5 years of age with a rhabdomyosarcoma, primary to the left buccinator. This case is of interest as C.I. has an unaffected identical twin (D.I.) for comparative study. Both were assessed by comparing panoramic radiographs and lateral and frontal tracings of cephalometric radiographs obtained at 8.25 years of age. C.I. had multiple dental anomalies which included agenesis, ectopia, crown malformation, and root malformation. Root malformation, ectopia, and agenesis were restricted to the left dentition, whereas crown malformation was noted bilaterally. C.I. had a generalized craniofacial skeletal hypoplasia relative to D.I. in all three planes, growth defects were greater on the side of the tumor, and the mandible was affected more than the nasomaxillary complex.

  11. Multimode VCSEL model for wide frequency-range RIN simulation

    NASA Astrophysics Data System (ADS)

    Perchoux, Julien; Rissons, Angélique; Mollier, Jean-Claude

    2008-01-01

    In this paper, we present an equivalent circuit model for oxide-confined AlGaAs/GaAs VCSEL with the noise contribution adapted to optomicrowave links applications. This model is derived from the multimode rate equations. In order to understand the modal competition process, we restrain our description to a two-modes rate equations system affected by the spectral hole-burning. The relative intensity noise (RIN) measurements which were achieved on a prober in Faraday cage confirm the low frequency enhancement described by the model. We validate our model for a wide frequency-range [1 MHz-10 GHz] and high bias level up to six times the threshold current.

  12. Contact focusing multimodal microprobes for ultraprecise laser tissue surgery

    PubMed Central

    Darafsheh, Arash; Fardad, Amir; Fried, Nathaniel M.; Antoszyk, Andrew N.; Ying, Howard S.; Astratov, Vasily N.

    2011-01-01

    Focusing of multimodal beams by chains of dielectric microspheres assembled directly inside the cores of hollow waveguides is studied by using numerical ray tracing. The device designs are optimized for laser surgery in contact mode with strongly absorbing tissue. By analyzing a broad range of parameters it is demonstrated that chains formed by three or five spheres with a refractive index of 1.65-1.75 provide a two-fold improvement in spatial resolution over single spheres at the cost of 0.2-0.4 attenuation in peak intensity of the central focused beam. Potential applications include ultra precise laser ablation or coagulation in the eye and brain, cellular surgery, and the coupling of light into photonic nanostructures. PMID:21369166

  13. Multimodal Semantic Analysis and Annotation for Basketball Video

    NASA Astrophysics Data System (ADS)

    Liu, Song; Xu, Min; Yi, Haoran; Chia, Liang-Tien; Rajan, Deepu

    2006-12-01

    This paper presents a new multiple-modality method for extracting semantic information from basketball video. The visual, motion, and audio information are extracted from video to first generate some low-level video segmentation and classification. Domain knowledge is further exploited for detecting interesting events in the basketball video. For video, both visual and motion prediction information are utilized for shot and scene boundary detection algorithm; this will be followed by scene classification. For audio, audio keysounds are sets of specific audio sounds related to semantic events and a classification method based on hidden Markov model (HMM) is used for audio keysound identification. Subsequently, by analyzing the multimodal information, the positions of potential semantic events, such as "foul" and "shot at the basket," are located with additional domain knowledge. Finally, a video annotation is generated according to MPEG-7 multimedia description schemes (MDSs). Experimental results demonstrate the effectiveness of the proposed method.

  14. A multimodal MRI dataset of professional chess players.

    PubMed

    Li, Kaiming; Jiang, Jing; Qiu, Lihua; Yang, Xun; Huang, Xiaoqi; Lui, Su; Gong, Qiyong

    2015-01-01

    Chess is a good model to study high-level human brain functions such as spatial cognition, memory, planning, learning and problem solving. Recent studies have demonstrated that non-invasive MRI techniques are valuable for researchers to investigate the underlying neural mechanism of playing chess. For professional chess players (e.g., chess grand masters and masters or GM/Ms), what are the structural and functional alterations due to long-term professional practice, and how these alterations relate to behavior, are largely veiled. Here, we report a multimodal MRI dataset from 29 professional Chinese chess players (most of whom are GM/Ms), and 29 age matched novices. We hope that this dataset will provide researchers with new materials to further explore high-level human brain functions.

  15. Multimodal Holographic Microscopy: Distinction between Apoptosis and Oncosis

    PubMed Central

    Balvan, Jan; Krizova, Aneta; Gumulec, Jaromir; Raudenska, Martina; Sladek, Zbysek; Sedlackova, Miroslava; Babula, Petr; Sztalmachova, Marketa; Kizek, Rene; Chmelik, Radim; Masarik, Michal

    2015-01-01

    Identification of specific cell death is of a great value for many scientists. Predominant types of cell death can be detected by flow-cytometry (FCM). Nevertheless, the absence of cellular morphology analysis leads to the misclassification of cell death type due to underestimated oncosis. However, the definition of the oncosis is important because of its potential reversibility. Therefore, FCM analysis of cell death using annexin V/propidium iodide assay was compared with holographic microscopy coupled with fluorescence detection - “Multimodal holographic microscopy (MHM)”. The aim was to highlight FCM limitations and to point out MHM advantages. It was shown that the annexin V+/PI− phenotype is not specific of early apoptotic cells, as previously believed, and that morphological criteria have to be necessarily combined with annexin V/PI for the cell death type to be ascertained precisely. MHM makes it possible to distinguish oncosis clearly from apoptosis and to stratify the progression of oncosis. PMID:25803711

  16. SALSA: A Novel Dataset for Multimodal Group Behavior Analysis.

    PubMed

    Alameda-Pineda, Xavier; Staiano, Jacopo; Subramanian, Ramanathan; Batrinca, Ligia; Ricci, Elisa; Lepri, Bruno; Lanz, Oswald; Sebe, Nicu

    2016-08-01

    Studying free-standing conversational groups (FCGs) in unstructured social settings (e.g., cocktail party ) is gratifying due to the wealth of information available at the group (mining social networks) and individual (recognizing native behavioral and personality traits) levels. However, analyzing social scenes involving FCGs is also highly challenging due to the difficulty in extracting behavioral cues such as target locations, their speaking activity and head/body pose due to crowdedness and presence of extreme occlusions. To this end, we propose SALSA, a novel dataset facilitating multimodal and Synergetic sociAL Scene Analysis, and make two main contributions to research on automated social interaction analysis: (1) SALSA records social interactions among 18 participants in a natural, indoor environment for over 60 minutes, under the poster presentation and cocktail party contexts presenting difficulties in the form of low-resolution images, lighting variations, numerous occlusions, reverberations and interfering sound sources; (2) To alleviate these problems we facilitate multimodal analysis by recording the social interplay using four static surveillance cameras and sociometric badges worn by each participant, comprising the microphone, accelerometer, bluetooth and infrared sensors. In addition to raw data, we also provide annotations concerning individuals' personality as well as their position, head, body orientation and F-formation information over the entire event duration. Through extensive experiments with state-of-the-art approaches, we show (a) the limitations of current methods and (b) how the recorded multiple cues synergetically aid automatic analysis of social interactions. SALSA is available at http://tev.fbk.eu/salsa.

  17. Clinical and multimodal biomarker correlates of ADNI neuropathological findings

    PubMed Central

    2013-01-01

    Background Autopsy series commonly report a high percentage of coincident pathologies in demented patients, including patients with a clinical diagnosis of dementia of the Alzheimer type (DAT). However many clinical and biomarker studies report cases with a single neurodegenerative disease. We examined multimodal biomarker correlates of the consecutive series of the first 22 Alzheimer’s Disease Neuroimaging Initiative autopsies. Clinical data, neuropsychological measures, cerebrospinal fluid Aβ, total and phosphorylated tau and α-synuclein and MRI and FDG-PET scans. Results Clinical diagnosis was either probable DAT or Alzheimer’s disease (AD)-type mild cognitive impairment (MCI) at last evaluation prior to death. All patients had a pathological diagnosis of AD, but only four had pure AD. A coincident pathological diagnosis of dementia with Lewy bodies (DLB), medial temporal lobe pathology (TDP-43 proteinopathy, argyrophilic grain disease and hippocampal sclerosis), referred to collectively here as MTL, and vascular pathology were present in 45.5%, 40.0% and 22.7% of these patients, respectively. Hallucinations were a strong predictor of coincident DLB (100% specificity) and a more severe dysexecutive profile was also a useful predictor of coincident DLB (80.0% sensitivity and 83.3% specificity). Occipital FDG-PET hypometabolism accurately classified coincident DLB (80% sensitivity and 100% specificity). Subjects with coincident MTL showed lower hippocampal volume. Conclusions Biomarkers can be used to independently predict coincident AD and DLB pathology, a common finding in amnestic MCI and DAT patients. Cohorts with comprehensive neuropathological assessments and multimodal biomarkers are needed to characterize independent predictors for the different neuropathological substrates of cognitive impairment. PMID:24252435

  18. Multimode Rayleigh wave profiling by hybrid surface and borehole methods

    NASA Astrophysics Data System (ADS)

    Lin, Shibin; Ashlock, Jeramy C.

    2014-05-01

    To improve the accuracy of shallow seismic shear wave velocity profiling, we propose a minimally invasive hybrid surface-and-borehole method that enhances the detection of higher modes of Rayleigh wave dispersion data. The new method combines techniques from the multichannel analysis of surface waves and multichannel simulation with one receiver (MSOR) methods to record components of Rayleigh wave motion at the surface as well as at shallow depths within the soil mass. The performance of the proposed method is demonstrated through computational and experimental studies. We show that individual modes of Rayleigh waves can exhibit different dominant depths at which their motion is most significant. This is demonstrated through a numerical study of eigenvectors of layered soil profiles via the stiffness matrix method, and confirmed by a finite element simulation of the apparent dispersion trends recorded at shallow depths using MSOR. Upon superimposing dispersion data recorded via the receivers at various depths, the resulting multimode dispersion data is used in a multi-objective inverse analysis, for which the difference between experimental and theoretical dispersive phase-velocity spectra are minimized for multiple modes simultaneously. In the numerical study, we demonstrate that the resulting inverted profiles and theoretical dispersion data have improved accuracy relative to single-mode inversion. Preliminary field tests are performed using the new hybrid method, and the results are shown to support the conclusions of the numerical study and confirm the feasibility of the proposed technique. Although the use of multiple modes in surface wave testing is not new, the proposed hybrid method can provide more accurate and complete multimodal dispersion data than achieved with surface-only Rayleigh wave methods. As a result, errors because of misidentification or partial measurement of higher modes may be minimized, thus reducing statistical uncertainty in the

  19. Multimodal manifold-regularized transfer learning for MCI conversion prediction.

    PubMed

    Cheng, Bo; Liu, Mingxia; Suk, Heung-Il; Shen, Dinggang; Zhang, Daoqiang

    2015-12-01

    As the early stage of Alzheimer's disease (AD), mild cognitive impairment (MCI) has high chance to convert to AD. Effective prediction of such conversion from MCI to AD is of great importance for early diagnosis of AD and also for evaluating AD risk pre-symptomatically. Unlike most previous methods that used only the samples from a target domain to train a classifier, in this paper, we propose a novel multimodal manifold-regularized transfer learning (M2TL) method that jointly utilizes samples from another domain (e.g., AD vs. normal controls (NC)) as well as unlabeled samples to boost the performance of the MCI conversion prediction. Specifically, the proposed M2TL method includes two key components. The first one is a kernel-based maximum mean discrepancy criterion, which helps eliminate the potential negative effect induced by the distributional difference between the auxiliary domain (i.e., AD and NC) and the target domain (i.e., MCI converters (MCI-C) and MCI non-converters (MCI-NC)). The second one is a semi-supervised multimodal manifold-regularized least squares classification method, where the target-domain samples, the auxiliary-domain samples, and the unlabeled samples can be jointly used for training our classifier. Furthermore, with the integration of a group sparsity constraint into our objective function, the proposed M2TL has a capability of selecting the informative samples to build a robust classifier. Experimental results on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database validate the effectiveness of the proposed method by significantly improving the classification accuracy of 80.1 % for MCI conversion prediction, and also outperforming the state-of-the-art methods.

  20. Multimodal Ayurvedic management for Sandhigatavata (Osteoarthritis of knee joints).

    PubMed

    Sharma, Manisha R; Mehta, Charmi S; Shukla, Dipali J; Patel, Kalapi B; Patel, Manish V; Gupta, Shiv Narayan

    2013-01-01

    Vata is the governing factor in the maintenance of equilibrium in the universe as well as in the body. As age advances, the influence of Vata Dosha progresses, resulting in the process of gradual degeneration of the body. Sandhigatavata (osteoarthritis) is one of the consequences of this process, which is common in the elderly people. This is one of the major causes of chronic disability, affecting the quality of life. Prevalence of osteoarthritis in India is more among menopausal women. This study has been conducted to evaluate the efficacy of Ayurvedic multimodal management in Sandhigatavata and to provide better options to Non-Steroidal Anti-Inflammatory Drugs (NSAIDs). In present clinical trial, 50 patients of Sandhigatavata have been registered and have been given Snehana, Svedana, Mriduvirechana, Matrabasti, and Jalaukavacharana, along with oral medications like Yogaraja Guggulu and Ashvagandha Churna. This multimodal therapy is being used in P.D. Patel Ayurved Hospital, Nadiad, since years, providing good relief to patients with Sandhigatavata. The results have been analyzed statistically by using the Student paired't' test. The therapy showed highly significant (P < 0.001) beneficial effect on the clinical features of Sandhigatavata. On overall effect of therapy, 4% of the patients were relieved completely, while 24% have shown marked improvement, 50% moderate improvement, and 22% mild improvement. Results of follow-up showed that marked improvement decreased, but moderate improvement was steady. Continuing the study on a larger number of patients, with inclusion of more objective parameters to get better conclusions is suggested at the end of the study.

  1. Multimodal treatment of gastrointestinal tract tumors: consequences for surgery.

    PubMed

    Siewert, J Rüdiger; Stein, Hubert J; von Rahden, Burkhard H A

    2005-08-01

    Formerly an exclusive business of surgery, gastrointestinal (GI) tumors are nowadays increasingly approached with multimodal strategies. Neoadjuvant concepts have had a particularly far-reaching impact on surgery and have contributed to improved survival. Modern pre-treatment staging and risk assessment provide the basis for decision on one of three general treatment concepts (1) Early cancers, confined to the mucosal/submucosal layers, are approached with primary surgery, without prior antineoplastic therapy. (2) Systemically metastasized tumors receive merely palliative treatment. (3) Locally advanced cancers are increasingly approached with neoadjuvant strategies. The benefit from these preoperative protocols is proven for diverse entities, but is evidently confined to a specific subgroup patients, i.e., the responders to neoadjuvant treatment. These are the ones benefiting most from subsequent surgical resection, which is required to ensure complete removal of the residual tumor tissue, as complete tumor regression occurs very rarely and cannot be proven without a specimen. The fact that responders will benefit and non-responders will not benefit or will even deteriorate during the neoadjuvant treatment makes early response prediction most demanding. An amazing new approach is the use of position emission tomography with fluro-desoxyglucose (FDG-PET) to assess the "metabolic response," which is possible as early as 14 days after initiation of the neoadjuvant protocol. This strategy offers the chance for modulating the surgical approach in accord i.e., with such metrobolic response termination of the protocol and proceeding to resection in the case of nonresponse. The future of GI cancer surgery is multimodal therapy in a response-based fashion and requires reponse-based trials for further evaluation.

  2. MultiModality Surgical and Hyperbaric Management of Mandibular Osteoradionecrosis

    SciTech Connect

    Freiberger, John J.; Yoo, David S.; Lisle Dear, Guy de; McGraw, Thomas A.; Blakey, George H.; Padilla Burgos, Rebecca; Kraft, Kevin; Nelson, John W.; Moon, Richard E.; Piantadosi, Claude A.

    2009-11-01

    Purpose: To elucidate long-term outcomes in 65 consecutive patients meeting a uniform definition of mandibular osteoradionecrosis (ORN) treated with multimodality therapy including hyperbaric oxygen (HBO). Methods and Materials: Pretreatment, post-treatment and long-term follow-up of mandibular lesions with exposed bone were ranked by a systematic review of medical records and patient telephone calls. The ranking system was based on lesion diameter and number plus disease progression. Changes from pretreatment to post-treatment and follow-up were analyzed by Wilcoxon signed-rank tests. Improved wound survival, measured by time to relapse, defined as any less favorable rank after HBO treatment, was assessed by Kaplan-Meier analysis. Results: In all, 57 cases (88%) resolved or improved by lesion grade or progression and evolution criteria after HBO (p < 0.001). Four patients healed before surgery after HBO alone. Of 57 patients who experienced improvement, 41 had failed previous nonmultimodality therapy for 3 months and 26 for 6 months or more. A total of 43 patients were eligible for time-to-relapse survival analysis. Healing or improvement lasted a mean duration of 86.1 months (95% confidence interval [95% CI], 64.0-108.2) in nonsmokers (n = 20) vs. 15.8 months (95% CI, 8.4-23.2) in smokers (n = 14) versus 24.2 months (95% CI, 15.2-33.2) in patients with recurrent cancer (n = 9) (p = 0.002 by the log-rank method). Conclusions: Multimodality therapy using HBO is effective for ORN when less intensive therapies have failed. Although the healing rate in similarly affected patients not treated with HBO is unknown, the improvements seen with peri-operative HBO were durable provided that the patients remained cancer free and abstained from smoking.

  3. Multimodal cerebral monitoring in comatose head-injured patients.

    PubMed

    Bardt, T F; Unterberg, A W; Kiening, K L; Schneider, G H; Lanksch, W R

    1998-01-01

    Monitoring of comatose patients in the neurosurgical intensive care unit (NICU) is constantly extended by the development of new methods for monitoring of cerebral function, metabolism and oxygenation. To simplify the interpretation of the rising number of parameters, and to avoid data overflow, a multimodal cerebral monitoring (MCM) system has been developed for the acquisition, display, on-line analysis and recording of physiological parameters from multiple bedside data sources. This article describes the technical details and the design of this computerized data acquisition system for variable applications in clinical patient monitoring and research. A Windows (Microsoft Corporation, Redmont, Washington) platform was equipped with an analog/digital converter board. Software for multimodal cerebral monitoring was developed using LabVIEW for Windows (National Instruments, Austin, Texas), a graphical programming system. Two software modules were created: One for the automatic acquisition of data, display of time dependent trend graphs, processing of on-line histograms, special functions for research, and storage of data in compatible format. The other module serves as an off-line monitor to display recorded data in various modalities. The MCM system has been used in 30 comatose patients with severe head injury. Mean time of MCM is 5.3 days (+/- 2.8 days), resulting in a total running time of the system of about 3800 hrs. Hardware and software proved to run stable and safe. The MCM system has become a valuable tool for monitoring of comatose patients. The simultaneous display of trend graphs of various monitoring parameters and the online processing of histograms improved the survey of the patient's condition in the ICU. Recorded data were analysed offline and contribute to a consecutively increasing data bank.

  4. Next-generation wideband multimode fibers for data centers

    NASA Astrophysics Data System (ADS)

    Balemarthy, Kasyapa; Shubochkin, Roman; Sun, Yi

    2016-03-01

    Short-reach optical links such as those used in data centers pre-dominantly employ VCSELs together with laser- optimized OM4 and OM3 multimode fiber (MMF), mainly due to their reliability, energy-efficiency and low end-to-end system cost. The IEEE 802.3bm specification for 100Gbps Ethernet utilizes four parallel MMFs each operating at a serial data rate of 25Gbps. Due to the rapidly increasing internet traffic, the IEEE P802.3bs Task Force is working towards a 400Gbps Ethernet standard requiring a commensurate increase in the number of parallel fibers deployed. Using 16 parallel lanes, while feasible, is not the most efficient use of cabling. One solution to the data rate - cable density problem is the use of shortwave wavelength division multiplexing (SWDM) near 850nm. For example, employing four wavelengths separated by ~30nm (with an operational window of ~840-950nm) results in a four-fold increase in the per-fiber data rate. Furthermore, SWDM can be combined with the parallel solution to support 400Gbps with the same cable density as the current 100Gbps Ethernet solution using OM4 fiber. Conventional laser-optimized OM4 gives diminished performance at the longer wavelengths compared to 850nm. Shifting the OM4 optimization wavelength to longer wavelengths sacrifices the 850nm performance. In this paper, we present next-generation wideband multimode fibers (NG-WBMMF) that are optimized for SWDM operation using a novel design approach employing multiple dopants. We have fabricated and characterized a wideband MMF that is OM4 compliant over the 850-950nm wavelength window. BER measurements demonstrate that this next-generation WB MMF satisfies the pre-FEC requirement of 5 × 10-5 even after transmission over 300m.

  5. Multimodal optical analysis of meningioma and comparison with histopathology.

    PubMed

    Zanello, Marc; Poulon, Fanny; Varlet, Pascale; Chretien, Fabrice; Andreiuolo, Felipe; Pages, Mélanie; Ibrahim, Ali; Pallud, Johan; Dezamis, Edouard; Abi-Lahoud, Georges; Nataf, François; Turak, Baris; Devaux, Bertrand; Abi-Haidar, Darine

    2017-02-01

    Meningioma is the most frequent primary central nervous system tumor. The risk of recurrence and the prognosis are correlated with the extent of the resection that ideally encompasses the infiltrated dura mater and, if required, the infiltrated bone. No device can deliver real-time intraoperative histopathological information on the tumor environment to help the neurosurgeon to achieve a gross total removal. This study assessed the abilities of nonlinear microscopy to provide relevant and real-time data to help resection of meningiomas. Nine human meningioma samples (four World Health Organization Grade I, five Grade II) were analyzed using different optical modalities: spectral analysis and imaging, lifetime measurements, fluorescence lifetime imaging microscopy, fluorescence emitted under one- and two-photon excitation and the second-harmonic generation signal imaging using a multimodal setup. Nonlinear microscopy produced images close to histopathology as a gold standard. The second-harmonic generation signal delineated the collagen background and two-photon fluorescence underlined cell cytoplasm. The matching between fluorescence images and Hematoxylin and Eosin staining was possible in all cases. Grade I meningioma emitted less autofluorescence than Grade II meningioma and Grade II meningioma exhibited a distinct lifetime value. Autofluorescence was correlated with the proliferation rates and seemed to explain the observed differences between Grade I and II meningiomas. This preliminary multimodal study focused on human meningioma samples confirms the potential of tissue autofluorescence analysis and nonlinear microscopy in helping intraoperatively neurosurgeons to reach the actual boundaries of the tumor infiltration. Correspondence between H&E staining (top pictures) and the two-photon fluorescence imaging (bottom pictures).

  6. Automated multimodal segmentation of an abnormal breast mass in mammogram.

    PubMed

    Kirubha, Angeline Sp; Rachel, Minnita; Anburajan, Micheal

    2016-06-01

    A lot of computer-aided diagnosis systems have been attempted to segment automatically breast mass from a mammogram and to classify the mass as benign and malignant quantitatively. This study aimed to develop an automated computer-aided diagnosis system to evaluate the disease with high accuracy using the proposed multimodal segmentation algorithm when compared to an abnormal breast mass region outlined in mammogram by radiologists of American College of Radiology as "standard." In this study, a total number of 150 mammograms were downloaded from the DDSM database for screening mammography. Based on the available diagnostic report, the studied data were classified as follows: (1) Group I: normal (n = 50, mean ± SD age = 55 ± 8 years), (2) Group II: benign breast cancer (n = 50, mean ± SD age = 58 ± 11 years), and (3) Group III: malignant breast cancer (n = 50, mean ± SD age = 58±9 years). It was found that the proposed multimodal segmentation algorithm processed all the mammograms of different mass types, density, shapes, size, margin, calcification type, and distortion successfully, and it segmented the mass automatically with high accuracy. In this study, a computer-aided diagnosis system was developed to segment the breast mass automatically in a mammogram with high accuracy of 96%. The sensitivity and specificity of the system were found to be 94% and 97%, respectively, when compared to abnormal region outlined in mammogram by radiologists of American College of Radiology as standard.

  7. EMS Student Handbook.

    ERIC Educational Resources Information Center

    Ogle, Patrick

    This student guide is one of a series of self-contained materials for students enrolled in an emergency medical services (EMS) training program. Discussed in the individual sections of the guide are the following topics: the purpose and history of EMS professionals; EMS training, certification and examinations (national and state certification and…

  8. Multi-modal Color Medical Image Fusion Using Quaternion Discrete Fourier Transform

    NASA Astrophysics Data System (ADS)

    Nawaz, Qamar; Xiao, Bin; Hamid, Isma; Jiao, Du

    2016-12-01

    Multimodal image fusion is a process of combining multiple images, generated by identical or diverse imaging modalities, to get precise inside information about the same body organ. In recent years, various multimodal image fusion algorithms have been proposed to fuse medical image. However, most of them focus on fusing grayscale images. This paper proposes a novel algorithm for the fusion of multimodal color medical images. The proposed algorithm divides source images into blocks, converts each RGB block into quaternion representation and transforms them from special domain to frequency domain by applying quaternion discrete Fourier transform. The fused coefficients are obtained by calculating and comparing contrast values of corresponding coefficients in transformed blocks. The resultant fused image is reconstructed by merging all the blocks after applying inverse quaternion discrete Fourier transform on each block. Experimental evaluation demonstrates that the proposed algorithm qualitatively outperforms many existing state-of-the-art multimodal image fusion algorithms.

  9. Representing the Margins: Multimodal Performance as a Tool for Critical Reflection and Pedagogy

    ERIC Educational Resources Information Center

    Darvin, Ron

    2015-01-01

    This article discusses how drama as a multimodal performance can be a powerful means to represent marginalized identities and to stimulate critical thought among teachers and learners about material conditions of existence and social inequalities.

  10. Multi-mode of Four and Six Wave Parametric Amplified Process

    PubMed Central

    Zhu, Dayu; Yang, Yiheng; Zhang, Da; Liu, Ruizhou; Ma, Danmeng; Li, Changbiao; Zhang, Yanpeng

    2017-01-01

    Multiple quantum modes in correlated fields are essential for future quantum information processing and quantum computing. Here we report the generation of multi-mode phenomenon through parametric amplified four- and six-wave mixing processes in a rubidium atomic ensemble. The multi-mode properties in both frequency and spatial domains are studied. On one hand, the multi-mode behavior is dominantly controlled by the intensity of external dressing effect, or nonlinear phase shift through internal dressing effect, in frequency domain; on the other hand, the multi-mode behavior is visually demonstrated from the images of the biphoton fields directly, in spatial domain. Besides, the correlation of the two output fields is also demonstrated in both domains. Our approach supports efficient applications for scalable quantum correlated imaging. PMID:28255163

  11. High-resolution optical spectroscopy using multimode interference in a compact tapered fibre.

    PubMed

    Wan, Noel H; Meng, Fan; Schröder, Tim; Shiue, Ren-Jye; Chen, Edward H; Englund, Dirk

    2015-07-23

    Optical spectroscopy is a fundamental tool in numerous areas of science and technology. Much effort has focused on miniaturizing spectrometers, but thus far at the cost of spectral resolution and broad operating range. Here we describe a compact spectrometer that achieves both high spectral resolution and broad bandwidth. The device relies on imaging multimode interference from leaky modes along a multimode tapered optical fibre, resulting in spectrally distinguishable spatial patterns over a wide range of wavelengths from 500 to 1,600 nm. This tapered fibre multimode interference spectrometer achieves a spectral resolution down to 40 pm in the visible spectrum and 10 pm in the near-infrared spectrum (corresponding to resolving powers of 10(4)-10(5)). Multimode interference spectroscopy is suitable in a variety of device geometries, including planar waveguides in a broad range of transparent materials.

  12. Towards the future: The promise of intermodal and multimodal transportation systems. Research report

    SciTech Connect

    Anderson, S.E.; Easley, R.B.; Fowler, T.M.; Gabler, W.L.; Govind, S.

    1995-02-01

    Issues relating to intermodal and multimodal transportation systems are introduced and defined. Intermodal and multimodal transportation solutions are assessed within the framework of legislative efforts such as Intermodal Surface Transportation Efficiency Act of 1991 (ISTEA), Clean Air Act Amendments of 1990 (CAAA), and North American Free Trade Agreement (NAFTA). Federal involvement in state intermodal transportation systems, and state responses to the growing intermodal and multimodal trends are also reviewed. The roles and responsibilities of the Metropolitan Planning Organizations (MPO) in the post-ISTEA world is examined and the impacts of legislative mandates considered. As a case study, the workings of the Houston MPO are examined. Private sector intermodal and multimodal involvement is addressed, including issues in management, regulatory, financial, economical, environmental, and even physical constraints. Effects of regulation on private sector intermodalism are discussed, as are case studies in partnering and management.

  13. Multi-mode of Four and Six Wave Parametric Amplified Process

    NASA Astrophysics Data System (ADS)

    Zhu, Dayu; Yang, Yiheng; Zhang, Da; Liu, Ruizhou; Ma, Danmeng; Li, Changbiao; Zhang, Yanpeng

    2017-03-01

    Multiple quantum modes in correlated fields are essential for future quantum information processing and quantum computing. Here we report the generation of multi-mode phenomenon through parametric amplified four- and six-wave mixing processes in a rubidium atomic ensemble. The multi-mode properties in both frequency and spatial domains are studied. On one hand, the multi-mode behavior is dominantly controlled by the intensity of external dressing effect, or nonlinear phase shift through internal dressing effect, in frequency domain; on the other hand, the multi-mode behavior is visually demonstrated from the images of the biphoton fields directly, in spatial domain. Besides, the correlation of the two output fields is also demonstrated in both domains. Our approach supports efficient applications for scalable quantum correlated imaging.

  14. A Multimodal Approach in Dealing with Chronic Epstein-Barr Viral Syndrome.

    ERIC Educational Resources Information Center

    Weikel, William J.

    1989-01-01

    Discusses Epstein-Barr Viral Syndrome, a puzzling and controversial disease with a variety of symptoms that frequently include depression and emotional debilitation. Offers diagnostic signs and suggests a possible treatment strategy based on the multimodal approach. (Author/ABL)

  15. 76 FR 32953 - Transportation Infrastructure/Multimodal Products and Services Trade Mission to Doha, Qatar, and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-06-07

    ... multimodal freight and intelligent supply chain management, provides significant business opportunities in..., including port development, airport development, freight rail systems and technologies, supply chain systems.... engineers, program management firms, and manufacturers to contribute to the creation of new...

  16. Timing and amplitude jitter in a gain-switched multimode semiconductor laser

    NASA Astrophysics Data System (ADS)

    Wada, Kenji; Kitagawa, Naoaki; Matsukura, Satoru; Matsuyama, Tetsuya; Horinaka, Hiromichi

    2016-04-01

    The differences in timing jitter between a gain-switched single-mode semiconductor laser and a gain-switched multimode semiconductor laser are examined using rate equations that include Langevin noise. The timing jitter in a gain-switched multimode semiconductor laser is found to be effectively suppressed by a decrease in the coherence time of the amplified spontaneous emission (ASE) based on a broad bandwidth of multimode oscillation. Instead, fluctuations in the ASE cause amplitude jitter in the pulse components of the respective modes. A pulse train of gain-switched pulses from a multimode semiconductor laser with timing jitter is equivalently simulated by assuming a high spontaneous emission factor and a short coherence time of the ASE in the single-mode semiconductor laser rate equations.

  17. Multimode interference coupler based photonic analog-to-digital conversion scheme.

    PubMed

    Shile, Wei; Jian, Wu; Lingjuan, Zhao; Chen, Yao; Chen, Ji; Dan, Lu; Xilin, Zhang; Zuoshan, Yin

    2012-09-01

    A novel phase-shifted optical quantization scheme for an all-optical analog-to-digital converter, which uses 4×4 multimode interference couplers, is demonstrated and theoretically analyzed. The whole scheme can be integrated on a chip.

  18. Analysis of multimode fiber bundles for endoscopic spectral-domain optical coherence tomography

    PubMed Central

    Risi, Matthew D.; Makhlouf, Houssine; Rouse, Andrew R.; Gmitro, Arthur F.

    2016-01-01

    A theoretical analysis of the use of a fiber bundle in spectral-domain optical coherence tomography (OCT) systems is presented. The fiber bundle enables a flexible endoscopic design and provides fast, parallelized acquisition of the OCT data. However, the multimode characteristic of the fibers in the fiber bundle affects the depth sensitivity of the imaging system. A description of light interference in a multimode fiber is presented along with numerical simulations and experimental studies to illustrate the theoretical analysis. PMID:25967012

  19. Pre-Motor Response Time Benefits in Multi-Modal Displays

    DTIC Science & Technology

    2013-11-12

    equivalent visual representations of these same messages. Results indicated that there was a performance benefit for concurrent message presentations...public release; distribution is unlimited. Pre-Motor Response Time Benefits in Multi-Modal Displays The views, opinions and/or findings contained in this...Time Benefits in Multi-Modal Displays Report Title The present series of experiments testes the assimilation and efficacy of purpose-created tactile

  20. New optical frequency domain differential mode delay measurement method for a multimode optical fiber.

    PubMed

    Ahn, T; Moon, S; Youk, Y; Jung, Y; Oh, K; Kim, D

    2005-05-30

    A novel mode analysis method and differential mode delay (DMD) measurement technique for a multimode optical fiber based on optical frequency domain reflectometry has been proposed for the first time. We have used a conventional OFDR with a tunable external cavity laser and a Michelson interferometer. A few-mode optical multimode fiber was prepared to test our proposed measurement technique. We have also compared the OFDR measurement results with those obtained using a traditional time-domain measurement method.