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https://www.readbyqxmd.com/read/28198979/root-length-and-alveolar-bone-level-of-impacted-canines-and-adjacent-teeth-after-orthodontic-traction-a-long-term-evaluation
#1
Aldir Cordeiro da Silva, Anderson Capistrano, Renata Rodrigues de Almeida-Pedrin, Maurício de Almeida Cardoso, Ana Cláudia de Castro Ferreira Conti, Leopoldino Capelozza
Objective: The aim of this retrospective study was to evaluate the long-term effects of orthodontic traction on root length and alveolar bone level in impacted canines and adjacent teeth. Material and Methods: Sample consisted of 16 patients (nine males and seven females), mean initial age 11 years and 8 months presenting with unilaterally maxillary impacted canines, palatally displaced, treated with the same surgical and orthodontic approach. Teeth from the impacted-canine side were assigned as Group I (GI), and contralateral teeth as control, Group II (GII)...
January 2017: Journal of Applied Oral Science: Revista FOB
https://www.readbyqxmd.com/read/28168752/monte-carlo-replica-exchange-based-ensemble-docking-of-protein-conformations
#2
Zhe Zhang, Uwe Ehmann, Martin Zacharias
A Replica-exchange Monte Carlo (REMC) ensemble docking approach has been developed that allows efficient exploration of protein-protein docking geometries. In addition to Monte Carlo steps in translation and orientation of binding partners, possible conformational changes upon binding are included based on Monte Carlo selection of protein conformations stored as ordered pre-generated conformational ensembles. The conformational ensembles of each binding partner protein were generated by three different approaches starting from the unbound partner protein structure with a range spanning a root mean square deviation of 1-2...
February 7, 2017: Proteins
https://www.readbyqxmd.com/read/28153039/metabolomics-variable-selection-and-classification-in-the-presence-of-observations-below-the-detection-limit-using-an-extension-of-erp
#3
Mari van Reenen, Johan A Westerhuis, Carolus J Reinecke, J Hendrik Venter
BACKGROUND: ERp is a variable selection and classification method for metabolomics data. ERp uses minimized classification error rates, based on data from a control and experimental group, to test the null hypothesis of no difference between the distributions of variables over the two groups. If the associated p-values are significant they indicate discriminatory variables (i.e. informative metabolites). The p-values are calculated assuming a common continuous strictly increasing cumulative distribution under the null hypothesis...
February 2, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28143546/patient-defined-desired-outcome-success-criteria-and-expectation-in-outpatient-physical-therapy-a-longitudinal-assessment
#4
Giorgio Zeppieri, Steven Z George
BACKGROUND: Patient-centered approaches offer an alternative method in evaluating treatment outcomes. This study investigated; 1) if patient's criteria for success (satisfaction of clinical outcomes) changes from pre to post treatment, 2) whether patients who met their success criteria also meet minimal clinical important difference scores (MCIDs), and 3) if patient's success criteria differed from their expected (what the patient believes will occur) and desired (what the patient wants to occur) outcomes following intervention...
January 31, 2017: Health and Quality of Life Outcomes
https://www.readbyqxmd.com/read/28119358/degree-of-free-fatty-acid-saturation-influences-chocolate-rejection-in-human-assessors
#5
Cordelia A Running, John E Hayes, Gregory R Ziegler
In foods, free fatty acids (FFAs) traditionally have been viewed as contributing an odor, yet evidence has accumulated that FFAs also contribute a unique taste ("oleogustus"). However, minimal work has been conducted using actual foods to test the contribution of FFA to taste preferences. Here, we investigate flavor, taste, and aroma contributions of added FFA in chocolate, as some commercial manufacturers already use lipolysis of triglycerides to generate unique profiles. We hypothesized that small added concentrations of FFAs would increase preferences for chocolate, whereas higher added concentrations would decrease preferences...
February 2017: Chemical Senses
https://www.readbyqxmd.com/read/28113855/deep-ranking-for-person-re-identification-via-joint-representation-learning
#6
Shi-Zhe Chen, Chun-Chao Guo, Jianhuang Lai
This paper proposes a novel approach to person reidentification, a fundamental task in distributed multi-camera surveillance systems. Although a variety of powerful algorithms have been presented in the past few years, most of them usually focus on designing hand-crafted features and learning metrics either individually or sequentially. Different from previous works, we formulate a unified deep ranking framework that jointly tackles both of these key components to maximize their strengths. We start from the principle that the correct match of the probe image should be positioned in the top rank within the whole gallery set...
March 23, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28113531/cross-view-retrieval-via-probability-based-semantics-preserving-hashing
#7
Zijia Lin, Guiguang Ding, Jungong Han, Jianmin Wang
For efficiently retrieving nearest neighbors from large-scale multiview data, recently hashing methods are widely investigated, which can substantially improve query speeds. In this paper, we propose an effective probability-based semantics-preserving hashing (SePH) method to tackle the problem of cross-view retrieval. Considering the semantic consistency between views, SePH generates one unified hash code for all observed views of any instance. For training, SePH first transforms the given semantic affinities of training data into a probability distribution, and aims to approximate it with another one in Hamming space, via minimizing their Kullback-Leibler divergence...
September 29, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28113272/person-re-identification-by-saliency-learning
#8
Rui Zhao, Wanli Ouyang, Xiaogang Wang
Human eyes can recognize person identities based on small salient regions, i.e. person saliency is distinctive and reliable in pedestrian matching across disjoint camera views. However, such valuable information is often hidden when computing similarities of pedestrian images with existing approaches. Inspired by our user study result of human perception on person saliency, we propose a novel perspective for person re-identification based on learning person saliency and matching saliency distribution. The proposed saliency learning and matching framework consists of four steps: (1) To handle misalignment caused by drastic viewpoint change and pose variations, we apply adjacency constrained patch matching to build dense correspondence between image pairs...
March 21, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28109959/crispr-cas9-mediated-genome-editing-as-a-therapeutic-approach-for-leber-congenital-amaurosis-10
#9
Guo-Xiang Ruan, Elizabeth Barry, Dan Yu, Michael Lukason, Seng H Cheng, Abraham Scaria
As the most common subtype of Leber congenital amaurosis (LCA), LCA10 is a severe retinal dystrophy caused by mutations in the CEP290 gene. The most frequent mutation found in patients with LCA10 is a deep intronic mutation in CEP290 that generates a cryptic splice donor site. The large size of the CEP290 gene prevents its use in adeno-associated virus (AAV)-mediated gene augmentation therapy. Here, we show that targeted genomic deletion using the clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 system represents a promising therapeutic approach for the treatment of patients with LCA10 bearing the CEP290 splice mutation...
January 18, 2017: Molecular Therapy: the Journal of the American Society of Gene Therapy
https://www.readbyqxmd.com/read/28092561/realistic-data-driven-traffic-flow-animation-using-texture-synthesis
#10
Qianwen Chao, Zhigang Deng, Jiaping Ren, Qianqian Ye, Xiaogang Jin
We present a novel data-driven approach to populate virtual road networks with realistic traffic flows. Specifically, given a limited set of vehicle trajectories as the input samples, our approach first synthesizes a large set of vehicle trajectories. By taking the spatio-temporal information of traffic flows as a 2D texture, the generation of new traffic flows can be formulated as a texture synthesis process, which is solved by minimizing a newly developed traffic texture energy. The synthesized output captures the spatio-temporal dynamics of the input traffic flows, and the vehicle interactions in it strictly follow traffic rules...
January 11, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28072798/reliability-and-safety-of-contra-lateral-oblique-view-for-interlaminar-epidural-needle-placement
#11
Richard Derby, Irina Melnik, Jongwoo Choi, Sang-Hoon Lee, Jeong-Eun Lee
Cord trauma is a risk with a cervical and thoracic interlaminar epidural approach to the epidural space. Intermittent lateral fluoroscopic imaging to detect needle depth is often cumbersome and may be difficult to interpret. In comparison, the contra-lateral oblique (CLO) fluoroscopic view is efficient and easy to interpret. However, the in vivo reliability and safety of this technique has not been formally investigated.The senior author collected fluoroscopic images on 278 consecutive patients undergoing an interlaminar epidural block at the T1-T2 level performed using a 17 gauge Tuohy needle...
January 2017: Pain Physician
https://www.readbyqxmd.com/read/28063722/concordance-of-two-approaches-in-monitoring-of-minimal-residual-disease-in-b-precursor-acute-lymphoblastic-leukemia-fusion-transcripts-and-leukemia-associated-immunophenotypes
#12
Ying-Jung Huang, Elaine Coustan-Smith, Hsiao-Wen Kao, Hsi-Che Liu, Shih-Hsiang Chen, Chih-Cheng Hsiao, Chao-Ping Yang, Tang-Her Jaing, Ting-Chi Yeh, Ming-Chung Kuo, Chang-Liang Lai, Chia-Hui Chang, Dario Campana, Der-Cherng Liang, Lee-Yung Shih
BACKGROUND: Real-time quantitative polymerase chain reaction (RQ-PCR) for fusion transcripts and flow cytometry for leukemia-specific markers are widely used for minimal residual disease (MRD) detection in acute lymphoblastic leukemia, but the relation between the results of either method is unclear. METHODS: Mononucleated cells from 108 bone marrow samples collected from 55 B-precursor acute lymphoblastic leukemia patients (30 with t(12;21)/ETV6-RUNX1, 16 with t(9;22)/BCR-ABL1 and nine with t(1;19)/TCF3-PBX1) were examined in tandem by RQ-PCR and six-color flow cytometry...
January 4, 2017: Journal of the Formosan Medical Association, Taiwan Yi Zhi
https://www.readbyqxmd.com/read/28041983/basic-discriminative-and-semantic-processing-in-patients-in-the-vegetative-and-minimally-conscious-state
#13
Helena Erlbeck, Ruben G L Real, Boris Kotchoubey, Donatella Mattia, Jakob Bargak, Andrea Kübler
Patients who survive injuries to the brain following accidents or diseases often acquire a disorder of consciousness (DOC). Assessment of the state of consciousness in these patients is difficult since they are usually incapable of reproducible motor movements. The application of event-related potentials (ERP) recorded via EEG constitutes one promising approach to complement the assessment of cognitive functions in DOC patients. For these assessments, a hierarchical approach was suggested which means that paradigms aiming at higher order ERPs are only presented if early responses were found...
December 30, 2016: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/28029553/somatic-mutation-detection-using-various-targeted-detection-assays-in-paired-samples-of-circulating-tumor-dna-primary-tumor-and-metastases-from-patients-undergoing-resection-of-colorectal-liver-metastases
#14
Nick Beije, Jean C Helmijr, Marjolein J A Weerts, Corine M Beaufort, Matthew Wiggin, Andre Marziali, Cornelis Verhoef, Stefan Sleijfer, Maurice P H M Jansen, John W M Martens
Assessing circulating tumor DNA (ctDNA) is a promising method to evaluate somatic mutations from solid tumors in a minimally-invasive way. In a group of twelve metastatic colorectal cancer (mCRC) patients undergoing liver metastasectomy, from each patient DNA from cell-free DNA (cfDNA), the primary tumor, metastatic liver tissue, normal tumor-adjacent colon or liver tissue, and whole blood were obtained. Investigated was the feasibility of a targeted NGS approach to identify somatic mutations in ctDNA. This targeted NGS approach was also compared with NGS preceded by mutant allele enrichment using synchronous coefficient of drag alteration technology embodied in the OnTarget assay, and for selected mutations with digital PCR (dPCR)...
October 10, 2016: Molecular Oncology
https://www.readbyqxmd.com/read/28019671/a-novel-objective-method-for-assessing-high-contrast-spatial-resolution-in-ct-based-on-the-rayleigh-criterion
#15
Pu Zhang, Guoqing Wan, Fei Li, Xingdong Li, Wenli Liu, Guangzhi Wang
PURPOSE: In China, most quality assessments (QAs) of the high-contrast resolution of medical computed tomography (CT) equipment is performed by subjective evaluation, which is simple but dependent on observer expertise. The purpose of this study was to compare the accuracy and degree of dispersion of evaluation results from observers with different expertise and to develop an objective, easily understandable new approach to minimize the error caused by the subjective nature of observer evaluation...
December 26, 2016: Medical Physics
https://www.readbyqxmd.com/read/28018274/time-series-analysis-of-embodied-interaction-movement-variability-and-complexity-matching-as-dyadic-properties
#16
Leonardo Zapata-Fonseca, Dobromir Dotov, Ruben Fossion, Tom Froese
There is a growing consensus that a fuller understanding of social cognition depends on more systematic studies of real-time social interaction. Such studies require methods that can deal with the complex dynamics taking place at multiple interdependent temporal and spatial scales, spanning sub-personal, personal, and dyadic levels of analysis. We demonstrate the value of adopting an extended multi-scale approach by re-analyzing movement time-series generated in a study of embodied dyadic interaction in a minimal virtual reality environment (a perceptual crossing experiment)...
2016: Frontiers in Psychology
https://www.readbyqxmd.com/read/28007839/predictability-of-genetic-interactions-from-functional-gene-modules
#17
Jonathan H Young, Edward M Marcotte
Characterizing genetic interactions is crucial to understanding cellular and organismal response to gene-level perturbations. Such knowledge can inform the selection of candidate disease therapy targets. Yet experimentally determining whether genes interact is technically non-trivial and time-consuming. High-fidelity prediction of different classes of genetic interactions in multiple organisms would substantially alleviate this experimental burden. Under the hypothesis that functionally-related genes tend to share common genetic interaction partners, we evaluate a computational approach to predict genetic interactions in Homo sapiens, Drosophila melanogaster, and Saccharomyces cerevisiae By leveraging knowledge of functional relationships between genes, we cross-validate predictions on known genetic interactions and observe high-predictive power of multiple classes of genetic interactions in all three organisms...
December 22, 2016: G3: Genes—Genomes—Genetics
https://www.readbyqxmd.com/read/27996264/characterizing-structural-complexity-in-disordered-carbons-from-the-slit-pore-to-atomistic-models
#18
Suresh K Bhatia
The reliable characterization of nanoporous carbons is critical to the design and optimization of their numerous applications; however, the vast majority of carbons in industrial use are highly disordered, with complex structures whose understanding has long challenged researchers. The idealized slit pore model represents the most commonly used approximation to a carbon nanopore; nevertheless, it has been only partially successful in predicting adsorption isotherms and fails significantly in predicting transport properties because of its inability to capture structural disorder and its effect on fluid accessibility...
December 20, 2016: Langmuir: the ACS Journal of Surfaces and Colloids
https://www.readbyqxmd.com/read/27960313/integrating-enzymatic-self-assembly-and-mitochondria-targeting-for-selectively-killing-cancer-cells-without-acquired-drug-resistance
#19
Huaimin Wang, Zhaoqianqi Feng, Youzhi Wang, Rong Zhou, Zhimou Yang, Bing Xu
Targeting organelles by modulating the redox potential of mitochondria is a promising approach to kill cancer cells that minimizes acquired drug resistance. However, it lacks selectivity because mitochondria perform essential functions for (almost) all cells. We show that enzyme-instructed self-assembly (EISA), a bioinspired molecular process, selectively generates the assemblies of redox modulators (e.g., triphenyl phosphinium (TPP)) in the pericellular space of cancer cells for uptake, which allows selectively targeting the mitochondria of cancer cells...
December 14, 2016: Journal of the American Chemical Society
https://www.readbyqxmd.com/read/27956148/ifrag-a-protein-protein-interface-prediction-server-based-on-sequence-fragments
#20
Javier Garcia-Garcia, Victòria Valls-Comamala, Emre Guney, David Andreu, Francisco J Muñoz, Narcis Fernandez-Fuentes, Baldo Oliva
Protein-protein interactions (PPIs) are crucial in many biological processes. The first step towards the molecular characterisation of PPIs implies the charting of their interfaces, that is, the surfaces mediating the interaction. To this end, we present here iFrag, a sequence-based computational method that infers possible interacting regions between two proteins by searching minimal common sequence fragments of the interacting protein pairs. By utilising the sequences of two interacting proteins (queries), iFrag derives a two-dimensional matrix computing a score for each pair of residues that relates to the presence of similar regions in interolog protein pairs...
February 3, 2017: Journal of Molecular Biology
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