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https://www.readbyqxmd.com/read/28318146/allen-newell-s-program-of-research-the-video-game-test
#1
Fernand Gobet
Newell (1973) argued that progress in psychology was slow because research focused on experiments trying to answer binary questions, such as serial versus parallel processing. In addition, not enough attention was paid to the strategies used by participants, and there was a lack of theories implemented as computer models offering sufficient precision for being tested rigorously. He proposed a three-headed research program: to develop computational models able to carry out the task they aimed to explain; to study one complex task in detail, such as chess; and to build computational models that can account for multiple tasks...
March 20, 2017: Topics in Cognitive Science
https://www.readbyqxmd.com/read/28302551/role-of-structural-bioinformatics-in-drug-discovery-by-computational-snp-analysis-a-proposed-protocol-for-analyzing-variation-at-the-protein-level
#2
REVIEW
David K Brown, Özlem Tastan Bishop
With the completion of the human genome project at the beginning of the 21st century, the biological sciences entered an unprecedented age of data generation, and made its first steps toward an era of personalized medicine. This abundance of sequence data has led to the proliferation of numerous sequence-based techniques for associating variation with disease, such as genome-wide association studies and candidate gene association studies. However, these statistical methods do not provide an understanding of the functional effects of variation...
March 13, 2017: Global Heart
https://www.readbyqxmd.com/read/28301747/single-cell-transcriptional-analysis
#3
Angela R Wu, Jianbin Wang, Aaron M Streets, Yanyi Huang
Despite being a relatively recent technological development, single-cell transcriptional analysis through high-throughput sequencing has already been used in hundreds of fruitful studies to make exciting new biological discoveries that would otherwise be challenging or even impossible. Consequently, this has fueled a virtuous cycle of even greater interest in the field and compelled development of further improved technical methodologies and approaches. Thanks to the combined efforts of the research community, including the fields of biochemistry and molecular biology, technology and instrumentation, data science, computational biology, and bioinformatics, the single-cell RNA-sequencing field is advancing at a pace that is both astounding and unprecedented...
March 16, 2017: Annual Review of Analytical Chemistry
https://www.readbyqxmd.com/read/28296725/preoperative-use-of-pregabalin-for-acute-pain-in-spine-surgery-a-meta-analysis-of-randomized-controlled-trials
#4
Hai-Liang Jiang, Shuang Huang, Jiang Song, Xiang Wang, Zhong-Shu Cao
BACKGROUND: We performed a systematic review and meta-analysis of randomized controlled trials (RCTs) to evaluate the efficacy and safety of pregabalin for pain management following spine surgery. METHODS: In September 2016, a systematic computer-based search was conducted in PubMed, EMBASE, Web of Science, and Cochrane Database of Systematic Reviews. RCTs of patients prepared for spine surgery that compared pregabalin with placebo were retrieved. The primary endpoint was the VAS score with rest or mobilization at 12 hours, 24 hours, and 48 hours and cumulative morphine consumption at 24 hours and 48 hours...
March 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28294460/retinal-imaging-analysis-based-on-vessel-detection
#5
Arshad Jamal, Mohammed Hazim Alkawaz, Amjad Rehman, Tanzila Saba
With an increase in the advancement of digital imaging and computing power, computationally intelligent technologies are in high demand to be used in ophthalmology cure and treatment. In current research, Retina Image Analysis (RIA) is developed for optometrist at Eye Care Center in Management and Science University. This research aims to analyze the retina through vessel detection. The RIA assists in the analysis of the retinal images and specialists are served with various options like saving, processing and analyzing retinal images through its advanced interface layout...
March 13, 2017: Microscopy Research and Technique
https://www.readbyqxmd.com/read/28293683/qsars-and-computational-chemistry-methods-in-environmental-chemical-sciences
#6
EDITORIAL
Kathrin Fenner, Paul G Tratnyek
No abstract text is available yet for this article.
March 15, 2017: Environmental Science. Processes & Impacts
https://www.readbyqxmd.com/read/28292600/efficacy-of-different-cone-beam-computed-tomographic-protocols-in-the-identification-of-mesiobuccal-canals-of-maxillary-first-molars-a-tomographic-and-ex%C3%A2-vivo-study
#7
Jéssica Vavassori de Freitas, Flares Baratto-Filho, Beatriz Serrato Coelho, Flávia Sens Fagundes Tomazinho, Bruno Monguilhott Crozeta, Manoel Damião de Sousa Neto, Marilisa Carneiro Leão Gabardo
INTRODUCTION: Complementary methods of anatomic diagnosis, including cone-beam computed tomographic (CBCT) imaging, may be useful in the diagnosis of mesiobuccal (MB) canals of maxillary molars. METHODS: Thirty-five maxillary first molars were subjected to ex vivo analysis and 4 CBCT protocols: i-CAT Classic (Imaging Sciences International, Hatfield, PA) (ICC group), i-CAT Next Generation (Imaging Sciences International) (ICN group), PreXion 3D (PreXion, San Mateo, CA) (16...
March 11, 2017: Journal of Endodontics
https://www.readbyqxmd.com/read/28291351/what-can-we-learn-from-a-biomimetic-model-of-nature-s-oxygen-evolving-complex
#8
Satadal Paul, Nicholas Cox, Dimitrios A Pantazis
A recently reported synthetic complex with a Mn4CaO4 core represents a remarkable structural mimic of the Mn4CaO5 cluster in the oxygen-evolving complex (OEC) of photosystem II (Zhang et al., Science 2015, 348, 690). Oxidized samples of the complex show electron paramagnetic resonance (EPR) signals at g ≈ 4.9 and 2, similar to those associated with the OEC in its S2 state (g ≈ 4.1 from an S = (5)/2 form and g ≈ 2 from an S = (1)/2 form), suggesting similarities in the electronic as well as geometric structure...
March 14, 2017: Inorganic Chemistry
https://www.readbyqxmd.com/read/28287534/rapid-one-step-enzymatic-synthesis-and-all-aqueous-purification-of-trehalose-analogues
#9
Lisa M Meints, Anne W Poston, Brent F Piligian, Claire D Olson, Katherine S Badger, Peter J Woodruff, Benjamin M Swarts
Chemically modified versions of trehalose, or trehalose analogues, have applications in biology, biotechnology, and pharmaceutical science, among other fields. For instance, trehalose analogues bearing detectable tags have been used to detect Mycobacterium tuberculosis and may have applications as tuberculosis diagnostic imaging agents. Hydrolytically stable versions of trehalose are also being pursued due to their potential for use as non-caloric sweeteners and bioprotective agents. Despite the appeal of this class of compounds for various applications, their potential remains unfulfilled due to the lack of a robust route for their production...
February 17, 2017: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/28287094/enlightening-discriminative-network-functional-modules-behind-principal-component-analysis-separation-in-differential-omic-science-studies
#10
Sara Ciucci, Yan Ge, Claudio Durán, Alessandra Palladini, Víctor Jiménez-Jiménez, Luisa María Martínez-Sánchez, Yuting Wang, Susanne Sales, Andrej Shevchenko, Steven W Poser, Maik Herbig, Oliver Otto, Andreas Androutsellis-Theotokis, Jochen Guck, Mathias J Gerl, Carlo Vittorio Cannistraci
Omic science is rapidly growing and one of the most employed techniques to explore differential patterns in omic datasets is principal component analysis (PCA). However, a method to enlighten the network of omic features that mostly contribute to the sample separation obtained by PCA is missing. An alternative is to build correlation networks between univariately-selected significant omic features, but this neglects the multivariate unsupervised feature compression responsible for the PCA sample segregation...
March 13, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28286217/full-reconstruction-of-non-stationary-strand-symmetric-models-on-rooted-phylogenies
#11
Benjamin D Kaehler
Understanding the evolutionary relationship among species is of fundamental importance to the biological sciences. The location of the root in any phylogenetic tree is critical as it gives an order to evolutionary events. None of the popular models of nucleotide evolution currently used in likelihood or Bayesian methods are able to infer the location of the root without exogenous information. It is known that the most general Markov models of nucleotide substitution also cannot identify the location of the root or be fitted to multiple sequence alignments with fewer than three sequences...
March 9, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28284227/the-association-between-adverse-pregnancy-outcomes-and-maternal-human-papillomavirus-infection-a-systematic-review-protocol
#12
Joseph Niyibizi, Nadège Zanré, Marie-Hélène Mayrand, Helen Trottier
BACKGROUND: Human papillomavirus (HPV) is the most prevalent genital infection, especially in young women of reproductive age. In vitro and animal model experiments provide compelling evidence of the harmful effect of HPV on pregnancy outcomes, but results from epidemiologic studies are inconclusive. We aim to determine the strength of the relationship between adverse pregnancy outcomes (APO) and HPV infection and assess its consistency across studies, by systematically reviewing the literature...
March 11, 2017: Systematic Reviews
https://www.readbyqxmd.com/read/28282591/a-novel-computer-aided-diagnosis-system-for-breast-mri-based-on-feature-selection-and-ensemble-learning
#13
Wei Lu, Zhe Li, Jinghui Chu
Breast cancer is a common cancer among women. With the development of modern medical science and information technology, medical imaging techniques have an increasingly important role in the early detection and diagnosis of breast cancer. In this paper, we propose an automated computer-aided diagnosis (CADx) framework for magnetic resonance imaging (MRI). The scheme consists of an ensemble of several machine learning-based techniques, including ensemble under-sampling (EUS) for imbalanced data processing, the Relief algorithm for feature selection, the subspace method for providing data diversity, and Adaboost for improving the performance of base classifiers...
March 6, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28282171/quantum-machine-learning-over-infinite-dimensions
#14
Hoi-Kwan Lau, Raphael Pooser, George Siopsis, Christian Weedbrook
Machine learning is a fascinating and exciting field within computer science. Recently, this excitement has been transferred to the quantum information realm. Currently, all proposals for the quantum version of machine learning utilize the finite-dimensional substrate of discrete variables. Here we generalize quantum machine learning to the more complex, but still remarkably practical, infinite-dimensional systems. We present the critical subroutines of quantum machine learning algorithms for an all-photonic continuous-variable quantum computer that can lead to exponential speedups in situations where classical algorithms scale polynomially...
February 24, 2017: Physical Review Letters
https://www.readbyqxmd.com/read/28278152/all-biology-is-computational-biology
#15
Florian Markowetz
Here, I argue that computational thinking and techniques are so central to the quest of understanding life that today all biology is computational biology. Computational biology brings order into our understanding of life, it makes biological concepts rigorous and testable, and it provides a reference map that holds together individual insights. The next modern synthesis in biology will be driven by mathematical, statistical, and computational methods being absorbed into mainstream biological training, turning biology into a quantitative science...
March 2017: PLoS Biology
https://www.readbyqxmd.com/read/28276489/computational-on-chip-imaging-of-nanoparticles-and-biomolecules-using-ultraviolet-light
#16
Mustafa Ugur Daloglu, Aniruddha Ray, Zoltan Gorocs, Matthew Xiong, Ravinder Malik, Gal Bitan, Euan McLeod, Aydogan Ozcan
Significant progress in characterization of nanoparticles and biomolecules was enabled by the development of advanced imaging equipment with extreme spatial-resolution and sensitivity. To perform some of these analyses outside of well-resourced laboratories, it is necessary to create robust and cost-effective alternatives to existing high-end laboratory-bound imaging and sensing equipment. Towards this aim, we have designed a holographic on-chip microscope operating at an ultraviolet illumination wavelength (UV) of 266 nm...
March 9, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28275048/brain-machine-interfaces-from-basic-science-to-neuroprostheses-and-neurorehabilitation
#17
REVIEW
Mikhail A Lebedev, Miguel A L Nicolelis
Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from neurophysiology, computer science, and engineering in an effort to establish real-time bidirectional links between living brains and artificial actuators. Although theoretical propositions and some proof of concept experiments on directly linking the brains with machines date back to the early 1960s, BMI research only took off in earnest at the end of the 1990s, when this approach became intimately linked to new neurophysiological methods for sampling large-scale brain activity...
April 2017: Physiological Reviews
https://www.readbyqxmd.com/read/28274476/new-tools-for-content-innovation-and-data-sharing-enhancing-reproducibility-and-rigor-in-biomechanics-research
#18
Farshid Guilak
We are currently in one of the most exciting times for science and engineering as we witness unprecedented growth in our computational and experimental capabilities to generate new data and models. To facilitate data and model sharing, and to enhance reproducibility and rigor in biomechanics research, the Journal of Biomechanics has introduced a number of tools for Content Innovation to allow presentation, sharing, and archiving of methods, models, and data in our articles. The tools include an Interactive Plot Viewer, 3D Geometric Shape and Model Viewer, Virtual Microscope, Interactive MATLAB Figure Viewer, and Audioslides...
February 10, 2017: Journal of Biomechanics
https://www.readbyqxmd.com/read/28274058/evaluation-of-efficacy-of-intraligamentary-injection-technique-for-extraction-of-mandibular-teeth-a-prospective-study
#19
Raunak Pradhan, Deepak Kulkarni, Lakshmi Shetty
INTRODUCTION: Fear of dental pain is one of the most common reasons for delaying dental treatment. Local Anaesthesia (LA) is the most commonly employed technique of achieving pain control in dentistry. Pterygomandibular Nerve Block (PNB), for achieving mandibular anaesthesia has been the traditional technique used and is associated with a few set of complications which include pain, nerve injury, trismus, and rarely facial nerve palsy, and sustained soft tissue anaesthesia. These complications have resulted in a rapid need for research on alternative local anaesthetic techniques...
January 2017: Journal of Clinical and Diagnostic Research: JCDR
https://www.readbyqxmd.com/read/28272810/deep-learning-for-computational-chemistry
#20
REVIEW
Garrett B Goh, Nathan O Hodas, Abhinav Vishnu
The rise and fall of artificial neural networks is well documented in the scientific literature of both computer science and computational chemistry. Yet almost two decades later, we are now seeing a resurgence of interest in deep learning, a machine learning algorithm based on multilayer neural networks. Within the last few years, we have seen the transformative impact of deep learning in many domains, particularly in speech recognition and computer vision, to the extent that the majority of expert practitioners in those field are now regularly eschewing prior established models in favor of deep learning models...
March 8, 2017: Journal of Computational Chemistry
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