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https://www.readbyqxmd.com/read/29155605/a-large-scale-experimental-evaluation-of-high-performing-multi-and-many-objective-evolutionary-algorithms
#1
Leonardo C T Bezerra, Manuel López-Ibáñez, Thomas Stützle
Research on multi-objective evolutionary algorithms (MOEAs) has produced over the past decades a large number of algorithms and a rich literature on performance assessment tools to evaluate and compare them. Yet, newly proposed MOEAs are typically compared against very few, often a decade older MOEAs. One reason for this apparent contradiction is the lack of a common baseline for comparison, with each subsequent study often devising its own experimental scenario, slightly different from other studies. As a result, the state of the art in MOEAs is a disputed topic...
November 20, 2017: Evolutionary Computation
https://www.readbyqxmd.com/read/29151135/classification-of-g-protein-coupled-receptors-based-on-a-rich-generation-of-convolutional-neural-network-n-gram-transformation-and-multiple-sequence-alignments
#2
Man Li, Cheng Ling, Qi Xu, Jingyang Gao
Sequence classification is crucial in predicting the function of newly discovered sequences. In recent years, the prediction of the incremental large-scale and diversity of sequences has heavily relied on the involvement of machine-learning algorithms. To improve prediction accuracy, these algorithms must confront the key challenge of extracting valuable features. In this work, we propose a feature-enhanced protein classification approach, considering the rich generation of multiple sequence alignment algorithms, N-gram probabilistic language model and the deep learning technique...
November 18, 2017: Amino Acids
https://www.readbyqxmd.com/read/29149545/mechanical-properties-in-metal-organic-frameworks-emerging-opportunities-and-challenges-for-device-functionality-and-technological-applications
#3
REVIEW
Nicholas C Burtch, Jurn Heinen, Thomas D Bennett, David Dubbeldam, Mark D Allendorf
Some of the most remarkable recent developments in metal-organic framework (MOF) performance properties can only be rationalized by the mechanical properties endowed by their hybrid inorganic-organic nanoporous structures. While these characteristics create intriguing application prospects, the same attributes also present challenges that will need to be overcome to enable the integration of MOFs with technologies where these promising traits can be exploited. In this review, emerging opportunities and challenges are identified for MOF-enabled device functionality and technological applications that arise from their fascinating mechanical properties...
November 17, 2017: Advanced Materials
https://www.readbyqxmd.com/read/29149397/heavily-graphitic-nitrogen-self-doped-high-porosity-carbon-for-the-electrocatalysis-of-oxygen-reduction-reaction
#4
Tong Feng, Wenli Liao, Zhongbin Li, Lingtao Sun, Dongping Shi, Chaozhong Guo, Yu Huang, Yi Wang, Jing Cheng, Yanrong Li, Qizhi Diao
Large-scale production of active and stable porous carbon catalysts for oxygen reduction reaction (ORR) from protein-rich biomass became a hot topic in fuel cell technology. Here, we report a facile strategy for synthesis of nitrogen-doped porous nanocarbons by means of a simple two-step pyrolysis process combined with the activation of zinc chloride and acid-treatment process, in which kidney bean via low-temperature carbonization was preferentially adopted as the only carbon-nitrogen sources. The results show that this carbon material exhibits excellent ORR electrocatalytic activity, and higher durability and methanol-tolerant property compared to the state-of-the-art Pt/C catalyst for the ORR, which can be mainly attributed to high graphitic-nitrogen content, high specific surface area, and porous characteristics...
November 17, 2017: Nanoscale Research Letters
https://www.readbyqxmd.com/read/29149087/taxonomic-classification-for-living-organisms-using-convolutional-neural-networks
#5
Saed Khawaldeh, Usama Pervaiz, Mohammed Elsharnoby, Alaa Eddin Alchalabi, Nayel Al-Zubi
Taxonomic classification has a wide-range of applications such as finding out more about evolutionary history. Compared to the estimated number of organisms that nature harbors, humanity does not have a thorough comprehension of to which specific classes they belong. The classification of living organisms can be done in many machine learning techniques. However, in this study, this is performed using convolutional neural networks. Moreover, a DNA encoding technique is incorporated in the algorithm to increase performance and avoid misclassifications...
November 17, 2017: Genes
https://www.readbyqxmd.com/read/29148712/constructing-repairable-meta-structures-of-ultra-broadband-electromagnetic-absorption-from-3d-printed-patterned-shells
#6
Wei-Li Song, Zhili Zhou, Lichen Wang, Xiao-Dong Cheng, Mingji Chen, Rujie He, Hao-Sen Chen, Yazheng Yang, Daining Fang
Ultra-broadband electromagnetic absorption materials and structures are increasingly attractive for their critical role in competing to the advanced broadband electromagnetic detective systems. Mechanically soft and weak wax-based materials composites are known to be insufficient to serve for practical electromagnetic absorption applications. To break through such barriers, here we developed an innovative strategy to enable the wax-based composites as robust and repairable meta-structures by employing a 3D printed polymeric patterned shell...
November 17, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/29148311/for-which-clinical-rules-do-doctors-want-decision-support-and-why-a-survey-of-dutch-general-practitioners
#7
Stephanie Medlock, Saeid Eslami, Marjan Askari, Derk L Arts, Esther M van de Glind, Henk J Brouwer, Henk C van Weert, Sophia E de Rooij, Ameen Abu-Hanna
Despite the promise of decision support for improving care, alerts are often overridden or ignored. We evaluated Dutch general practitioners' intention to accept decision support in a proposed implementation based on clinical rules regarding care for elderly patients, and their reasons for wanting or not wanting support. We developed a survey based on literature and structured interviews and distributed it to all doctors who would receive support in the proposed implementation (n = 43), of which 65 percent responded...
November 1, 2017: Health Informatics Journal
https://www.readbyqxmd.com/read/29148028/blindness-and-visual-impairment-in-opera
#8
Pinar Aydin, Robert Ritch, John O'Dwyer
PURPOSE: The performing arts mirror the human condition. This study sought to analyze the reasons for inclusion of visually impaired characters in opera, the cause of the blindness or near blindness, and the dramatic purpose of the blindness in the storyline. METHODS: We reviewed operas from the 18th century to 2010 and included all characters with ocular problems. We classified the cause of each character's ocular problem (organic, nonorganic, and other) in relation to the thematic setting of the opera: biblical and mythical, blind beggars or blind musicians, historical (real or fictional characters), and contemporary or futuristic...
November 4, 2017: European Journal of Ophthalmology
https://www.readbyqxmd.com/read/29145086/active-learning-for-classifying-data-streams-with-unknown-number-of-classes
#9
Saad Mohamad, Moamar Sayed-Mouchaweh, Abdelhamid Bouchachia
The classification of data streams is an interesting but also a challenging problem. A data stream may grow infinitely making it impractical for storage prior to processing and classification. Due to its dynamic nature, the underlying distribution of the data stream may change over time resulting in the so-called concept drift or the possible emergence and fading of classes, known as concept evolution. In addition, acquiring labels of data samples in a stream is admittedly expensive if not infeasible at all...
October 27, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29143795/deep-see-joint-object-detection-tracking-and-recognition-with-application-to-visually-impaired-navigational-assistance
#10
Ruxandra Tapu, Bogdan Mocanu, Titus Zaharia
In this paper, we introduce the so-called DEEP-SEE framework that jointly exploits computer vision algorithms and deep convolutional neural networks (CNNs) to detect, track and recognize in real time objects encountered during navigation in the outdoor environment. A first feature concerns an object detection technique designed to localize both static and dynamic objects without any a priori knowledge about their position, type or shape. The methodological core of the proposed approach relies on a novel object tracking method based on two convolutional neural networks trained offline...
October 28, 2017: Sensors
https://www.readbyqxmd.com/read/29142276/detecting-the-relevance-to-performance-of-whole-body-movements
#11
Daisuke Furuki, Ken Takiyama
Goal-directed whole-body movements are fundamental in our daily life, sports, music, art, and other activities. Goal-directed movements have been intensively investigated by focusing on simplified movements (e.g., arm-reaching movements or eye movements); however, the nature of goal-directed whole-body movements has not been sufficiently investigated because of the high-dimensional nonlinear dynamics and redundancy inherent in whole-body motion. One open question is how to overcome high-dimensional nonlinear dynamics and redundancy to achieve the desired performance...
November 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29142136/size-composition-and-evolution-of-hiv-dna-populations-during-early-antiretroviral-therapy-and-intensification-with-maraviroc
#12
Antoine Chaillon, Sara Gianella, Steven M Lada, Josué Perez-Santiago, Parris Jordan, Caroline Ignacio, Maile Karris, Douglas Richman, Sanjay R Mehta, Susan J Little, Joel O Wertheim, Davey M Smith
Residual viremia is common during antiretroviral therapy (ART), and could be caused by ongoing low-level virus replication or by release of viral particles from infected cells. ART Intensification should impact ongoing viral propagation but not virion release. Eighteen acutely infected men were enrolled in a randomized controlled trial, and followed for a median of 107 weeks. Participants started ART with (n=9) or without (n=9) intensification with maraviroc (MVC) within 90 days of infection. Levels of HIV DNA and cell-free RNA were quantified by droplet digital PCR...
November 15, 2017: Journal of Virology
https://www.readbyqxmd.com/read/29141709/rapid-diagnostic-testing-of-hospitalized-malawian-children-reveals-opportunities-for-improved-hiv-diagnosis-and-treatment
#13
Theresa F Madaline, Sarah E Hochman, Karl B Seydel, Alice Liomba, Alex Saidi, Grace Matebule, Wenzhu B Mowrey, Bernadette O'Hare, Danny A Milner, Kami Kim
Recent World Health Organization (WHO) guidelines recommend antiretroviral therapy (ART) for all HIV-infected people; previously CD4+ T lymphocyte quantification (CD4 count) or clinical staging determined eligibility for children ≥ 5 years old in low- and middle-income countries. We examined positive predictive value (PPV) of a rapid diagnostic test (RDT) algorithm and ART eligibility for hospitalized children with newly diagnosed HIV infection. We enrolled 363 hospitalized Malawian children age 2 months to 16 years with two serial positive HIV RDT from 2013 to 2015...
October 16, 2017: American Journal of Tropical Medicine and Hygiene
https://www.readbyqxmd.com/read/29141584/sprint-ultrafast-protein-protein-interaction-prediction-of-the-entire-human-interactome
#14
Yiwei Li, Lucian Ilie
BACKGROUND: Proteins perform their functions usually by interacting with other proteins. Predicting which proteins interact is a fundamental problem. Experimental methods are slow, expensive, and have a high rate of error. Many computational methods have been proposed among which sequence-based ones are very promising. However, so far no such method is able to predict effectively the entire human interactome: they require too much time or memory. RESULTS: We present SPRINT (Scoring PRotein INTeractions), a new sequence-based algorithm and tool for predicting protein-protein interactions...
November 15, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/29137838/fusion-of-fmri-and-non-imaging-data-for-adhd-classification
#15
Atif Riaz, Muhammad Asad, Eduardo Alonso, Greg Slabaugh
Resting state fMRI has emerged as a popular neuroimaging method for automated recognition and classification of different brain disorders. Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common brain disorders affecting young children, yet its underlying mechanism is not completely understood and its diagnosis is mainly dependent on behavior analysis. This paper addresses the problem of classification of ADHD based on resting state fMRI and proposes a machine learning framework with integration of non-imaging data with imaging data to investigate functional connectivity alterations between ADHD and control subjects (not diagnosed with ADHD)...
October 19, 2017: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/29137809/prognostic-factors-for-local-recurrence-of-squamous-cell-carcinoma-of-the-vulva-a-systematic-review
#16
Nienke C Te Grootenhuis, Anne-Floor W Pouwer, Geertruida H de Bock, Harry Hollema, Johan Bulten, Ate G J van der Zee, Joanne A de Hullu, Maaike H M Oonk
BACKGROUND: In patients treated for early-stage squamous cell vulvar carcinoma local recurrence is reported in up to 40% after ten years. Knowledge on prognostic factors related to local recurrences should be helpful to select high risk patients and/or to develop strategies to prevent local recurrences. OBJECTIVE: This systematic review aims to evaluate the current knowledge on the incidence of local recurrences in vulvar carcinoma related to clinicopathologic and cell biologic variables...
November 11, 2017: Gynecologic Oncology
https://www.readbyqxmd.com/read/29137601/random-walks-on-mutual-microrna-target-gene-interaction-network-improve-the-prediction-of-disease-associated-micrornas
#17
Duc-Hau Le, Lieven Verbeke, Le Hoang Son, Dinh-Toi Chu, Van-Huy Pham
BACKGROUND: MicroRNAs (miRNAs) have been shown to play an important role in pathological initiation, progression and maintenance. Because identification in the laboratory of disease-related miRNAs is not straightforward, numerous network-based methods have been developed to predict novel miRNAs in silico. Homogeneous networks (in which every node is a miRNA) based on the targets shared between miRNAs have been widely used to predict their role in disease phenotypes. Although such homogeneous networks can predict potential disease-associated miRNAs, they do not consider the roles of the target genes of the miRNAs...
November 14, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/29137174/hdomo-smart-sensor-integration-for-an-active-and-independent-longevity-of-the-elderly
#18
Emanuele Frontoni, Rama Pollini, Paola Russo, Primo Zingaretti, Graziano Cerri
The aim of this paper is to present the main results of HDOMO, an Ambient Assisted Living (AAL) project that involved 16 Small and Medium Enterprises (SMEs) and 2 research institutes. The objective of the project was to create an autonomous and automated domestic environment, primarily for elderly people and people with physical and motor disabilities. A known and familiar environment should help users in their daily activities and it should act as a virtual caregiver by calling, if necessary, relief efforts...
November 13, 2017: Sensors
https://www.readbyqxmd.com/read/29136610/explicit-ringing-removal-in-image-deblurring
#19
Ali Mosleh, Yasser Elmi Sola, Farzad Zargari, Emmanuel Onzon, J M Pierre Langlois
In this paper, we present a simple yet effective image deblurring method to produce ringing-free deblurred images. Our work is inspired by the observation that large-scale deblurring ringing artifacts are measurable through a multi-resolution pyramid of low-pass filtering of the blurred-deblurred image pair. We propose to model such a quantification as a convex cost function and minimize it directly in the deblurring process in order to reduce ringing regardless of its cause. An efficient primal-dual algorithm is proposed as a solution to this optimization problem...
February 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29136115/estradiol-levels-are-altered-in-human-immunodeficiency-virus-infected-pregnant-women-randomized-to-efavirenz-versus-lopinavir-ritonavir-based-antiretroviral-therapy
#20
Chloe R McDonald, Andrea L Conroy, Joel L Gamble, Eszter Papp, Michael Hawkes, Peter Olwoch, Paul Natureeba, Moses Kamya, Michael Silverman, Deborah Cohan, Catherine A Koss, Grant Dorsey, Kevin C Kain, Lena Serghides
Background: Combination antiretroviral therapy (cART) use in pregnancy has been associated with hormonal dysregulation. We performed a secondary retrospective analysis of longitudinal progesterone and estradiol levels in pregnancy using specimens from the Protease Inhibitors to Reduce Malaria Morbidity in HIV-infected Pregnant Women study, which randomized Ugandan human immunodeficiency virus (HIV)-infected ART-naive women to initiate either lopinavir/ritonavir (LPV/r)-based or efavirenz (EFV)-based cART...
November 10, 2017: Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
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