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https://www.readbyqxmd.com/read/27913371/multiview-convolutional-neural-networks-for-multidocument-extractive-summarization
#1
Yong Zhang, Meng Joo Er, Rui Zhao, Mahardhika Pratama
Multidocument summarization has gained popularity in many real world applications because vital information can be extracted within a short time. Extractive summarization aims to generate a summary of a document or a set of documents by ranking sentences and the ranking results rely heavily on the quality of sentence features. However, almost all previous algorithms require hand-crafted features for sentence representation. In this paper, we leverage on word embedding to represent sentences so as to avoid the intensive labor in feature engineering...
November 28, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27913366/deepr-a-convolutional-net-for-medical-records
#2
Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, Svetha Venkatesh
Feature engineering remains a major bottleneck when creating predictive systems from electronic medical records. At present, an important missing element is detecting predictive regular clinical motifs from irregular episodic records. We present Deepr (short for Deep record), a new end-to-end deep learning system that learns to extract features from medical records and predicts future risk automatically. Deepr transforms a record into a sequence of discrete elements separated by coded time gaps and hospital transfers...
December 1, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/27906586/neural-differentiation-of-mesenchymal-stem-cells-on-scaffolds-for-nerve-tissue-engineering-applications
#3
Kerlin Quintiliano, Thayane Crestani, Davi Silveira, Virginia Etges Helfer, Annelise Rosa, Eduardo Balbueno, Daniela Steffens, Geraldo Pereira Jotz, Diogo André Pilger, Patricia Pranke
Scaffolds produced by electrospinning act as supports for cell proliferation and differentiation, improved through the release of neurotrophic factors. The objective of this study was to develop aligned and random nanofiber scaffolds with and without nerve growth factor to evaluate the potential of mesenchymal stem cells (MSCs) for neural differentiation. Nanofiber morphology, diameter, degradability, cell morphology, adhesion, proliferation, viability, cytotoxicity, and neural differentiation were performed to characterize the scaffolds...
November 2016: Cellular Reprogramming
https://www.readbyqxmd.com/read/27904482/engineering-personalized-neural-tissue-using-functionalized-transcription-factors
#4
Stephanie M Willerth
No abstract text is available yet for this article.
October 2016: Neural Regeneration Research
https://www.readbyqxmd.com/read/27881212/building-machines-that-learn-and-think-like-people
#5
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, Samuel J Gershman
Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. We review progress in cognitive science suggesting that truly human-like learning and thinking machines will have to reach beyond current engineering trends in both what they learn, and how they learn it...
November 24, 2016: Behavioral and Brain Sciences
https://www.readbyqxmd.com/read/27875804/optogenetic-approaches-for-dissecting-neuromodulation-and-gpcr-signaling-in-neural-circuits
#6
REVIEW
Skylar M Spangler, Michael R Bruchas
Optogenetics has revolutionized neuroscience by providing means to control cell signaling with spatiotemporal control in discrete cell types. In this review, we summarize four major classes of optical tools to manipulate neuromodulatory GPCR signaling: opsins (including engineered chimeric receptors); photoactivatable proteins; photopharmacology through caging-photoswitchable molecules; fluorescent protein based reporters and biosensors. Additionally, we highlight technologies to utilize these tools in vitro and in vivo, including Cre dependent viral vector expression and two-photon microscopy...
November 19, 2016: Current Opinion in Pharmacology
https://www.readbyqxmd.com/read/27875217/automatic-scoring-of-multiple-semantic-attributes-with-multi-task-feature-leverage-a-study-on-pulmonary-nodules-in-ct-images
#7
Sihong Chen, Jing Qin, Xing Ji, Baiying Lei, Tianfu Wang, Dong Ni, Jie-Zhi Cheng
The gap between the computational and semantic features is the one of major factors that bottlenecks the computer-aided diagnosis (CAD) performance from clinical usage. To bridge this gap, we exploit three multi-task learning (MTL) schemes to leverage heterogeneous computational features derived from deep learning models of stacked denoising autoencoder (SDAE) and convolutional neural network (CNN), as well as hand-crafted Haar-like and HoG features, for the description of 9 semantic features for lung nodules in CT images...
November 16, 2016: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/27869805/engineered-human-pluripotent-stem-cell-derived-intestinal-tissues-with-a-functional-enteric-nervous-system
#8
Michael J Workman, Maxime M Mahe, Stephen Trisno, Holly M Poling, Carey L Watson, Nambirajan Sundaram, Ching-Fang Chang, Jacqueline Schiesser, Philippe Aubert, Edouard G Stanley, Andrew G Elefanty, Yuichiro Miyaoka, Mohammad A Mandegar, Bruce R Conklin, Michel Neunlist, Samantha A Brugmann, Michael A Helmrath, James M Wells
The enteric nervous system (ENS) of the gastrointestinal tract controls many diverse functions, including motility and epithelial permeability. Perturbations in ENS development or function are common, yet there is no human model for studying ENS-intestinal biology and disease. We used a tissue-engineering approach with embryonic and induced pluripotent stem cells (PSCs) to generate human intestinal tissue containing a functional ENS. We recapitulated normal intestinal ENS development by combining human-PSC-derived neural crest cells (NCCs) and developing human intestinal organoids (HIOs)...
November 21, 2016: Nature Medicine
https://www.readbyqxmd.com/read/27865962/pharmacologically-active-microcarriers-delivering-bdnf-within-a-hydrogel-novel-strategy-for-human-bone-marrow-derived-stem-cells-neural-neuronal-differentiation-guidance-and-therapeutic-secretome-enhancement
#9
Saikrishna Kandalam, Laurence Sindji, Gaëtan J-R Delcroix, Fabien Violet, Xavier Garric, Emilie M André, Paul C Schiller, Marie-Claire Venier-Julienne, Anne des Rieux, Jérôme Guicheux, Claudia N Montero-Menei
: Stem cells combined with biodegradable injectable scaffolds releasing growth factors hold great promises in regenerative medicine, particularly in the treatment of neurological disorders. We here integrated human marrow-isolated adult multilineage-inducible (MIAMI) stem cells and pharmacologically active microcarriers (PAMs) into an injectable non-toxic silanized-hydroxypropyl methylcellulose (Si-HPMC) hydrogel. The goal is to obtain an injectable non-toxic cell and growth factor delivery device...
November 16, 2016: Acta Biomaterialia
https://www.readbyqxmd.com/read/27863118/nanofibrous-gelatin-scaffolds-integrated-with-ngf-loaded-alginate-microspheres-for-brain-tissue-engineering
#10
Melda Büyüköz, Esra Erdal, Sacide Alsoy Altinkaya
Neural regeneration research is designed in part to develop strategies for therapy after nerve damage due to injury or disease. In this study, a new gelatin based biomimetic scaffold was fabricated for brain tissue engineering applications. A technique combining thermally induced phase separation and porogen leaching was used to create interconnected macropores and nanofibrous structure. To promote tissue regeneration processes, the scaffolds were integrated with nerve growth factor (NGF) loaded alginate microspheres...
November 12, 2016: Journal of Tissue Engineering and Regenerative Medicine
https://www.readbyqxmd.com/read/27858175/an-information-based-machine-learning-approach-to-elasticity-imaging
#11
Cameron Hoerig, Jamshid Ghaboussi, Michael F Insana
An information-based technique is described for applications in mechanical property imaging of soft biological media under quasi-static loads. We adapted the Autoprogressive method that was originally developed for civil engineering applications for this purpose. The Autoprogressive method is a computational technique that combines knowledge of object shape and a sparse distribution of force and displacement measurements with finite-element analyses and artificial neural networks to estimate a complete set of stress and strain vectors...
November 18, 2016: Biomechanics and Modeling in Mechanobiology
https://www.readbyqxmd.com/read/27857724/nanobiomaterials-for-neural-regeneration
#12
REVIEW
Nuan Chen, Lingling Tian, Liumin He, Seeram Ramakrishna
Diseases and disorders associated with nervous system such as injuries by trauma and neurodegeneration are shown to be one of the most serious problems in medicine, requiring innovative strategies to trigger and enhance the nerve regeneration. Tissue engineering aims to provide a highly biomimetic environment by using a combination of cells, materials and suitable biological cues, by which the lost body part may be regenerated or even fully rebuilt. Electrospinning, being able to produce extracellular matrix (ECM)-like nanostructures with great flexibility in design and choice of materials, have demonstrated their great potential for fabrication of nerve tissue engineered scaffolds...
September 2016: Neural Regeneration Research
https://www.readbyqxmd.com/read/27854552/regulation-of-sequential-release-of-growth-factors-using-bilayer-polymeric-nanoparticles-for-cardiac-tissue-engineering
#13
Mohammad Izadifar, Michael E Kelly, Xiongbiao Chen
AIM: Cardiac tissue engineering aims to develop engineered constructs for myocardial infarction repair, where a challenge is the control of growth factor (GF) sequential release. Herein, bilayer polymeric nanoparticles composed of a GF-encapsulating core surrounded by rate-regulating shell were developed for sequential GF release. MATERIALS & METHODS: Single and bilayer polymeric nanoparticles were fabricated, characterized and biologically assessed. A novel 'Geno-Neural model' was developed and validated for rate-programming of the nanoparticles...
November 17, 2016: Nanomedicine
https://www.readbyqxmd.com/read/27853419/benchmarking-spike-based-visual-recognition-a-dataset-and-evaluation
#14
Qian Liu, Garibaldi Pineda-García, Evangelos Stromatias, Teresa Serrano-Gotarredona, Steve B Furber
Today, increasing attention is being paid to research into spike-based neural computation both to gain a better understanding of the brain and to explore biologically-inspired computation. Within this field, the primate visual pathway and its hierarchical organization have been extensively studied. Spiking Neural Networks (SNNs), inspired by the understanding of observed biological structure and function, have been successfully applied to visual recognition and classification tasks. In addition, implementations on neuromorphic hardware have enabled large-scale networks to run in (or even faster than) real time, making spike-based neural vision processing accessible on mobile robots...
2016: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/27830577/orexin-hypocretin-and-organizing-principles-for-a-diversity-of-wake-promoting-neurons-in-the-brain
#15
Cornelia Schöne, Denis Burdakov
An enigmatic feature of behavioural state control is the rich diversity of wake-promoting neural systems. This diversity has been rationalized as 'robustness via redundancy', wherein wakefulness control is not critically dependent on one type of neuron or molecule. Studies of the brain orexin/hypocretin system challenge this view by demonstrating that wakefulness control fails upon loss of this neurotransmitter system. Since orexin neurons signal arousal need, and excite other wake-promoting neurons, their actions illuminate nonredundant principles of arousal control...
November 10, 2016: Current Topics in Behavioral Neurosciences
https://www.readbyqxmd.com/read/27830445/tissue-engineering-for-neurodegenerative-diseases-using-human-amniotic-membrane-and-umbilical-cord
#16
Anahí Sanluis-Verdes, Namibia Sanluis-Verdes, María Jesús Manso-Revilla, Antonio Manuel Castro-Castro, Jorge Pombo-Otero, María Fraga-Mariño, Jacinto Sanchez-Ibañez, Nieves Doménech, María Esther Rendal-Vázquez
Regenerative medicine, based on the use of stem cells, scaffolds and growth factors, has the potential to be a good approach for restoring damaged tissues of the central nervous system. This study investigated the use of human amniotic mesenchymal stem cells (hAMSC), human amniotic epithelial stem cells (hAESC), and human Wharton's jelly mesenchymal stem cells (hWJMSC) derived from human umbilical cord as a source of stem cells, and the potential of the human amniotic membrane (HAM) as a scaffold and/or source of growth factors to promote nerve regeneration...
November 9, 2016: Cell and Tissue Banking
https://www.readbyqxmd.com/read/27825983/accelerating-glioblastoma-drug-discovery-convergence-of-patient-derived-models-genome-editing-and-phenotypic-screening
#17
Eoghan O'Duibhir, Neil Carragher, Steven M Pollard
Patients diagnosed with glioblastoma (GBM) continue to face a bleak prognosis. It is critical that new effective therapeutic strategies are developed. GBM stem cells have molecular hallmarks of neural stem and progenitor cells and it is possible to propagate both non-transformed normal neural stem cells and GBM stem cells, in defined, feeder-free, adherent culture. These primary stem cell lines provide an experimental model that is ideally suited to cell-based drug discovery or genetic screens in order to identify tumour-specific vulnerabilities...
November 4, 2016: Molecular and Cellular Neurosciences
https://www.readbyqxmd.com/read/27825148/creating-interactions-between-tissue-engineered-skeletal-muscle-and-the-peripheral-nervous-system
#18
Alec S T Smith, Samantha L Passey, Neil R W Martin, Darren J Player, Vivek Mudera, Linda Greensmith, Mark P Lewis
Effective models of mammalian tissues must allow and encourage physiologically (mimetic) correct interactions between co-cultured cell types in order to produce culture microenvironments as similar as possible to those that would normally occur in vivo. In the case of skeletal muscle, the development of such a culture model, integrating multiple relevant cell types within a biomimetic scaffold, would be of significant benefit for investigations into the development, functional performance, and pathophysiology of skeletal muscle tissue...
2016: Cells, Tissues, Organs
https://www.readbyqxmd.com/read/27816769/in-vivocharacterization-of-the-aspartyl-trna-synthetase-dars-homing-in-on-the-leukodystrophy-hbsl
#19
Dominik Fröhlich, Alexandra K Suchowerska, Ziggy H T Spencer, Georg von Jonquieres, Claudia B Klugmann, Andre Bongers, Fabien Delerue, Holly Stefen, Lars M Ittner, Thomas Fath, Gary D Housley, Matthias Klugmann
BACKGROUND: The recently diagnosed leukodystrophy Hypomyelination with Brain stem and Spinal cord involvement and Leg spasticity (HBSL) is caused by mutations of the cytoplasmic aspartyl-tRNA synthetase geneDARS. The physiological role of DARS in translation is to accurately pair aspartate with its cognate tRNA. Clinically, HBSL subjects show a distinct pattern of hypomyelination and develop progressive leg spasticity, variable cognitive impairment and epilepsy. To elucidate the underlying pathomechanism, we comprehensively assessed endogenous DARS expression in mice...
November 2, 2016: Neurobiology of Disease
https://www.readbyqxmd.com/read/27810870/implementation-of-a-collaborative-series-of-classroom-based-undergraduate-research-experiences-spanning-chemical-biology-biochemistry-and-neurobiology
#20
Jennifer R Kowalski, Geoffrey C Hoops, R Jeremy Johnson
Classroom undergraduate research experiences (CUREs) provide students access to the measurable benefits of undergraduate research experiences (UREs). Herein, we describe the implementation and assessment of a novel model for cohesive CUREs focused on central research themes involving faculty research collaboration across departments. Specifically, we implemented three collaborative CUREs spanning chemical biology, biochemistry, and neurobiology that incorporated faculty members' research interests and revolved around the central theme of visualizing biological processes like Mycobacterium tuberculosis enzyme activity and neural signaling using fluorescent molecules...
2016: CBE Life Sciences Education
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