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https://www.readbyqxmd.com/read/29204108/cross-dependency-inference-in-multi-layered-networks-a-collaborative-filtering-perspective
#1
Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He
The increasingly connected world has catalyzed the fusion of networks from different domains, which facilitates the emergence of a new network model-multi-layered networks. Examples of such kind of network systems include critical infrastructure networks, biological systems, organization-level collaborations, cross-platform e-commerce, and so forth. One crucial structure that distances multi-layered network from other network models is its cross-layer dependency, which describes the associations between the nodes from different layers...
August 2017: ACM Transactions on Knowledge Discovery From Data
https://www.readbyqxmd.com/read/29203067/personalized-prediction-of-glaucoma-progression-under-different-target-intraocular-pressure-levels-using-filtered-forecasting-methods
#2
Pooyan Kazemian, Mariel S Lavieri, Mark P Van Oyen, Chris Andrews, Joshua D Stein
PURPOSE: To generate personalized forecasts of how patients with open-angle glaucoma (OAG) experience disease progression at different intraocular pressure (IOP) levels to aid clinicians with setting personalized target IOPs. DESIGN: Secondary analyses using longitudinal data from 2 randomized controlled trials. PARTICIPANTS: Participants with moderate or advanced OAG from the Collaborative Initial Glaucoma Treatment Study (CIGTS) or the Advanced Glaucoma Intervention Study (AGIS)...
December 1, 2017: Ophthalmology
https://www.readbyqxmd.com/read/29194368/vitamin-d-moving-forward-to-address-emerging-science
#3
REVIEW
Christine L Taylor, Christopher T Sempos, Cindy D Davis, Patsy M Brannon
The science surrounding vitamin D presents both challenges and opportunities. Although many uncertainties are associated with the understandings concerning vitamin D, including its physiological function, the effects of excessive intake, and its role in health, it is at the same time a major interest in the research and health communities. The approach to evaluating and interpreting the available evidence about vitamin D should be founded on the quality of the data and on the conclusions that take into account the totality of the evidence...
December 1, 2017: Nutrients
https://www.readbyqxmd.com/read/29188764/assessing-the-performance-of-methodological-search-filters-to-improve-the-efficiency-of-evidence-information-retrieval-five-literature-reviews-and-a-qualitative-study
#4
Carol Lefebvre, Julie Glanville, Sophie Beale, Charles Boachie, Steven Duffy, Cynthia Fraser, Jenny Harbour, Rachael McCool, Lynne Smith
BACKGROUND: Effective study identification is essential for conducting health research, developing clinical guidance and health policy and supporting health-care decision-making. Methodological search filters (combinations of search terms to capture a specific study design) can assist in searching to achieve this. OBJECTIVES: This project investigated the methods used to assess the performance of methodological search filters, the information that searchers require when choosing search filters and how that information could be better provided...
November 2017: Health Technology Assessment: HTA
https://www.readbyqxmd.com/read/29187898/precisely-enumerating-circulating-tumor-cells-utilizing-a-multi-functional-microfluidic-chip-and-unique-image-interpretation-algorithm
#5
Mingxing Zhou, Hui Zheng, Zhaoba Wang, Ren Li, Xiaoran Liu, Weikai Zhang, Zihua Wang, Huiping Li, Zewen Wei, Zhiyuan Hu
Enumerating circulating tumor cells (CTCs) has been demonstrably useful in cancer treatment. Although there are several approaches that have proved effective in isolating CTC-like cells, the crucial identification of CTCs continues to rely on the manual interpretation of immunofluorescence images of all cells that have been isolated. This procedure is time consuming and more importantly, CTC identification relies on subjective criteria that may differ between examiners. In this study, we describe the design, testing, and verification of a microfluidic platform that provides accurate and automated CTC enumeration using a common objective criterion...
2017: Theranostics
https://www.readbyqxmd.com/read/29187342/assessing-the-efficacy-of-mobile-health-apps-using-the-basic-principles-of-cognitive-behavioral-therapy-systematic-review
#6
REVIEW
Amy Leigh Rathbone, Laura Clarry, Julie Prescott
BACKGROUND: Cognitive behavioral therapy (CBT) in its basic principle has developed itself as a stand-alone, substantial method of therapy. With effective application in therapy for a range of mental health issues, the spread of CBT methods to Web-based therapy sources is evident. The development of mobile phone apps using CBT principles is increasing within the research area. Despite the move to Web-based methods of therapy, it is argued that these methods lack the same efficacy of face-to-face therapy sessions...
November 28, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/29182974/suspect-screening-and-non-targeted-analysis-of-drinking-water-using-point-of-use-filters
#7
Seth R Newton, Rebecca L McMahen, Jon R Sobus, Kamel Mansouri, Antony J Williams, Andrew D McEachran, Mark J Strynar
Monitored contaminants in drinking water represent a small portion of the total compounds present, many of which may be relevant to human health. To understand the totality of human exposure to compounds in drinking water, broader monitoring methods are imperative. In an effort to more fully characterize the drinking water exposome, point-of-use water filtration devices (Brita® filters) were employed to collect time-integrated drinking water samples in a pilot study of nine North Carolina homes. A suspect screening analysis was performed by matching high resolution mass spectra of unknown features to molecular formulas from EPA's DSSTox database...
November 25, 2017: Environmental Pollution
https://www.readbyqxmd.com/read/29154225/matrix-completion-by-deep-matrix-factorization
#8
Jicong Fan, Jieyu Cheng
Conventional methods of matrix completion are linear methods that are not effective in handling data of nonlinear structures. Recently a few researchers attempted to incorporate nonlinear techniques into matrix completion but there still exists considerable limitations. In this paper, a novel method called deep matrix factorization (DMF) is proposed for nonlinear matrix completion. Different from conventional matrix completion methods that are based on linear latent variable models, DMF is on the basis of a nonlinear latent variable model...
November 3, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29148566/factors-that-influence-the-provision-of-intrapartum-and-postnatal-care-by-skilled-birth-attendants-in-low-and-middle-income-countries-a-qualitative-evidence-synthesis
#9
REVIEW
Susan Munabi-Babigumira, Claire Glenton, Simon Lewin, Atle Fretheim, Harriet Nabudere
BACKGROUND: In many low- and middle-income countries women are encouraged to give birth in clinics and hospitals so that they can receive care from skilled birth attendants. A skilled birth attendant (SBA) is a health worker such as a midwife, doctor, or nurse who is trained to manage normal pregnancy and childbirth. (S)he is also trained to identify, manage, and refer any health problems that arise for mother and baby. The skills, attitudes and behaviour of SBAs, and the extent to which they work in an enabling working environment, impact on the quality of care provided...
November 17, 2017: Cochrane Database of Systematic Reviews
https://www.readbyqxmd.com/read/29132426/comment-on-a-re-assessment-of-the-safety-of-silver-in-household-water-treatment-rapid-systematic-review-of-mammalian-in-vivo-genotoxicity-studies
#10
EDITORIAL
Daniele Lantagne, Justine Rayner, Anjuliee Mittelman, Kurt Pennell
We wish to thank Fewtrell, Majuru, and Hunter for their article highlighting genotoxic risks associated with the use of particulate silver for primary drinking water treatment. The recent promotion of colloidal silver products for household water treatment in developing countries is problematic due to previously identified concerns regarding manufacturing quality and questionable advertising practices, as well as the low efficiency of silver nanoparticles to treat bacteria, viruses, and protozoa in source waters...
November 13, 2017: Environmental Health: a Global Access Science Source
https://www.readbyqxmd.com/read/29118963/leveraging-multiactions-to-improve-medical-personalized-ranking-for-collaborative-filtering
#11
Shan Gao, Guibing Guo, Runzhi Li, Zongmin Wang
Nowadays, providing high-quality recommendation services to users is an essential component in web applications, including shopping, making friends, and healthcare. This can be regarded either as a problem of estimating users' preference by exploiting explicit feedbacks (numerical ratings), or as a problem of collaborative ranking with implicit feedback (e.g., purchases, views, and clicks). Previous works for solving this issue include pointwise regression methods and pairwise ranking methods. The emerging healthcare websites and online medical databases impose a new challenge for medical service recommendation...
2017: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29097376/prediction-of-multiple-trait-and-multiple-environment-genomic-data-using-recommender-systems
#12
Osval A Montesinos-López, Abelardo Montesinos-López, José Crossa, José C Montesinos-López, David Mota-Sanchez, Fermín Estrada-Gonzalez, Jussi Gilberg, Ravi Singh, Suchismita Mondal, Philomin Juliana
In genomic-enabled prediction, the task of improving the accuracy of the prediction of lines in environments is difficult because the available information is generally sparse and usually has low correlations between traits. In current genomic selection, while researchers have a large amount of information and appropriate statistical models to process it, there is still limited computing efficiency to do so. Although statistical models are usually mathematically elegant, they are also computationally inefficient, and they are impractical for many traits, lines, environments, and years because they need to sample from huge normal multivariate distributions...
November 2, 2017: G3: Genes—Genomes—Genetics
https://www.readbyqxmd.com/read/29053306/gw170814-a-three-detector-observation-of-gravitational-waves-from-a-binary-black-hole-coalescence
#13
B P Abbott, R Abbott, T D Abbott, F Acernese, K Ackley, C Adams, T Adams, P Addesso, R X Adhikari, V B Adya, C Affeldt, M Afrough, B Agarwal, M Agathos, K Agatsuma, N Aggarwal, O D Aguiar, L Aiello, A Ain, P Ajith, B Allen, G Allen, A Allocca, P A Altin, A Amato, A Ananyeva, S B Anderson, W G Anderson, S V Angelova, S Antier, S Appert, K Arai, M C Araya, J S Areeda, N Arnaud, K G Arun, S Ascenzi, G Ashton, M Ast, S M Aston, P Astone, D V Atallah, P Aufmuth, C Aulbert, K AultONeal, C Austin, A Avila-Alvarez, S Babak, P Bacon, M K M Bader, S Bae, P T Baker, F Baldaccini, G Ballardin, S W Ballmer, S Banagiri, J C Barayoga, S E Barclay, B C Barish, D Barker, K Barkett, F Barone, B Barr, L Barsotti, M Barsuglia, D Barta, S D Barthelmy, J Bartlett, I Bartos, R Bassiri, A Basti, J C Batch, M Bawaj, J C Bayley, M Bazzan, B Bécsy, C Beer, M Bejger, I Belahcene, A S Bell, B K Berger, G Bergmann, J J Bero, C P L Berry, D Bersanetti, A Bertolini, J Betzwieser, S Bhagwat, R Bhandare, I A Bilenko, G Billingsley, C R Billman, J Birch, R Birney, O Birnholtz, S Biscans, S Biscoveanu, A Bisht, M Bitossi, C Biwer, M A Bizouard, J K Blackburn, J Blackman, C D Blair, D G Blair, R M Blair, S Bloemen, O Bock, N Bode, M Boer, G Bogaert, A Bohe, F Bondu, E Bonilla, R Bonnand, B A Boom, R Bork, V Boschi, S Bose, K Bossie, Y Bouffanais, A Bozzi, C Bradaschia, P R Brady, M Branchesi, J E Brau, T Briant, A Brillet, M Brinkmann, V Brisson, P Brockill, J E Broida, A F Brooks, D A Brown, D D Brown, S Brunett, C C Buchanan, A Buikema, T Bulik, H J Bulten, A Buonanno, D Buskulic, C Buy, R L Byer, M Cabero, L Cadonati, G Cagnoli, C Cahillane, J Calderón Bustillo, T A Callister, E Calloni, J B Camp, M Canepa, P Canizares, K C Cannon, H Cao, J Cao, C D Capano, E Capocasa, F Carbognani, S Caride, M F Carney, J Casanueva Diaz, C Casentini, S Caudill, M Cavaglià, F Cavalier, R Cavalieri, G Cella, C B Cepeda, P Cerdá-Durán, G Cerretani, E Cesarini, S J Chamberlin, M Chan, S Chao, P Charlton, E Chase, E Chassande-Mottin, D Chatterjee, K Chatziioannou, B D Cheeseboro, H Y Chen, X Chen, Y Chen, H-P Cheng, H Chia, A Chincarini, A Chiummo, T Chmiel, H S Cho, M Cho, J H Chow, N Christensen, Q Chu, A J K Chua, S Chua, A K W Chung, S Chung, G Ciani, R Ciolfi, C E Cirelli, A Cirone, F Clara, J A Clark, P Clearwater, F Cleva, C Cocchieri, E Coccia, P-F Cohadon, D Cohen, A Colla, C G Collette, L R Cominsky, M Constancio, L Conti, S J Cooper, P Corban, T R Corbitt, I Cordero-Carrión, K R Corley, N Cornish, A Corsi, S Cortese, C A Costa, M W Coughlin, S B Coughlin, J-P Coulon, S T Countryman, P Couvares, P B Covas, E E Cowan, D M Coward, M J Cowart, D C Coyne, R Coyne, J D E Creighton, T D Creighton, J Cripe, S G Crowder, T J Cullen, A Cumming, L Cunningham, E Cuoco, T Dal Canton, G Dálya, S L Danilishin, S D'Antonio, K Danzmann, A Dasgupta, C F Da Silva Costa, V Dattilo, I Dave, M Davier, D Davis, E J Daw, B Day, S De, D DeBra, J Degallaix, M De Laurentis, S Deléglise, W Del Pozzo, N Demos, T Denker, T Dent, R De Pietri, V Dergachev, R De Rosa, R T DeRosa, C De Rossi, R DeSalvo, O de Varona, J Devenson, S Dhurandhar, M C Díaz, L Di Fiore, M Di Giovanni, T Di Girolamo, A Di Lieto, S Di Pace, I Di Palma, F Di Renzo, Z Doctor, V Dolique, F Donovan, K L Dooley, S Doravari, I Dorrington, R Douglas, M Dovale Álvarez, T P Downes, M Drago, C Dreissigacker, J C Driggers, Z Du, M Ducrot, P Dupej, S E Dwyer, T B Edo, M C Edwards, A Effler, H-B Eggenstein, P Ehrens, J Eichholz, S S Eikenberry, R A Eisenstein, R C Essick, D Estevez, Z B Etienne, T Etzel, M Evans, T M Evans, M Factourovich, V Fafone, H Fair, S Fairhurst, X Fan, S Farinon, B Farr, W M Farr, E J Fauchon-Jones, M Favata, M Fays, C Fee, H Fehrmann, J Feicht, M M Fejer, A Fernandez-Galiana, I Ferrante, E C Ferreira, F Ferrini, F Fidecaro, D Finstad, I Fiori, D Fiorucci, M Fishbach, R P Fisher, M Fitz-Axen, R Flaminio, M Fletcher, H Fong, J A Font, P W F Forsyth, S S Forsyth, J-D Fournier, S Frasca, F Frasconi, Z Frei, A Freise, R Frey, V Frey, E M Fries, P Fritschel, V V Frolov, P Fulda, M Fyffe, H Gabbard, B U Gadre, S M Gaebel, J R Gair, L Gammaitoni, M R Ganija, S G Gaonkar, C Garcia-Quiros, F Garufi, B Gateley, S Gaudio, G Gaur, V Gayathri, N Gehrels, G Gemme, E Genin, A Gennai, D George, J George, L Gergely, V Germain, S Ghonge, Abhirup Ghosh, Archisman Ghosh, S Ghosh, J A Giaime, K D Giardina, A Giazotto, K Gill, L Glover, E Goetz, R Goetz, S Gomes, B Goncharov, G González, J M Gonzalez Castro, A Gopakumar, M L Gorodetsky, S E Gossan, M Gosselin, R Gouaty, A Grado, C Graef, M Granata, A Grant, S Gras, C Gray, G Greco, A C Green, E M Gretarsson, P Groot, H Grote, S Grunewald, P Gruning, G M Guidi, X Guo, A Gupta, M K Gupta, K E Gushwa, E K Gustafson, R Gustafson, O Halim, B R Hall, E D Hall, E Z Hamilton, G Hammond, M Haney, M M Hanke, J Hanks, C Hanna, M D Hannam, O A Hannuksela, J Hanson, T Hardwick, J Harms, G M Harry, I W Harry, M J Hart, C-J Haster, K Haughian, J Healy, A Heidmann, M C Heintze, H Heitmann, P Hello, G Hemming, M Hendry, I S Heng, J Hennig, A W Heptonstall, M Heurs, S Hild, T Hinderer, D Hoak, D Hofman, K Holt, D E Holz, P Hopkins, C Horst, J Hough, E A Houston, E J Howell, Y M Hu, E A Huerta, D Huet, B Hughey, S Husa, S H Huttner, T Huynh-Dinh, N Indik, R Inta, G Intini, H N Isa, J-M Isac, M Isi, B R Iyer, K Izumi, T Jacqmin, K Jani, P Jaranowski, S Jawahar, F Jiménez-Forteza, W W Johnson, N K Johnson-McDaniel, D I Jones, R Jones, R J G Jonker, L Ju, J Junker, C V Kalaghatgi, V Kalogera, B Kamai, S Kandhasamy, G Kang, J B Kanner, S J Kapadia, S Karki, K S Karvinen, M Kasprzack, M Katolik, E Katsavounidis, W Katzman, S Kaufer, K Kawabe, F Kéfélian, D Keitel, A J Kemball, R Kennedy, C Kent, J S Key, F Y Khalili, I Khan, S Khan, Z Khan, E A Khazanov, N Kijbunchoo, Chunglee Kim, J C Kim, K Kim, W Kim, W S Kim, Y-M Kim, S J Kimbrell, E J King, P J King, M Kinley-Hanlon, R Kirchhoff, J S Kissel, L Kleybolte, S Klimenko, T D Knowles, P Koch, S M Koehlenbeck, S Koley, V Kondrashov, A Kontos, M Korobko, W Z Korth, I Kowalska, D B Kozak, C Krämer, V Kringel, B Krishnan, A Królak, G Kuehn, P Kumar, R Kumar, S Kumar, L Kuo, A Kutynia, S Kwang, B D Lackey, K H Lai, M Landry, R N Lang, J Lange, B Lantz, R K Lanza, A Lartaux-Vollard, P D Lasky, M Laxen, A Lazzarini, C Lazzaro, P Leaci, S Leavey, C H Lee, H K Lee, H M Lee, H W Lee, K Lee, J Lehmann, A Lenon, M Leonardi, N Leroy, N Letendre, Y Levin, T G F Li, S D Linker, T B Littenberg, J Liu, R K L Lo, N A Lockerbie, L T London, J E Lord, M Lorenzini, V Loriette, M Lormand, G Losurdo, J D Lough, C O Lousto, G Lovelace, H Lück, D Lumaca, A P Lundgren, R Lynch, Y Ma, R Macas, S Macfoy, B Machenschalk, M MacInnis, D M Macleod, I Magaña Hernandez, F Magaña-Sandoval, L Magaña Zertuche, R M Magee, E Majorana, I Maksimovic, N Man, V Mandic, V Mangano, G L Mansell, M Manske, M Mantovani, F Marchesoni, F Marion, S Márka, Z Márka, C Markakis, A S Markosyan, A Markowitz, E Maros, A Marquina, P Marsh, F Martelli, L Martellini, I W Martin, R M Martin, D V Martynov, K Mason, E Massera, A Masserot, T J Massinger, M Masso-Reid, S Mastrogiovanni, A Matas, F Matichard, L Matone, N Mavalvala, N Mazumder, R McCarthy, D E McClelland, S McCormick, L McCuller, S C McGuire, G McIntyre, J McIver, D J McManus, L McNeill, T McRae, S T McWilliams, D Meacher, G D Meadors, M Mehmet, J Meidam, E Mejuto-Villa, A Melatos, G Mendell, R A Mercer, E L Merilh, M Merzougui, S Meshkov, C Messenger, C Messick, R Metzdorff, P M Meyers, H Miao, C Michel, H Middleton, E E Mikhailov, L Milano, A L Miller, B B Miller, J Miller, M Millhouse, M C Milovich-Goff, O Minazzoli, Y Minenkov, J Ming, C Mishra, S Mitra, V P Mitrofanov, G Mitselmakher, R Mittleman, D Moffa, A Moggi, K Mogushi, M Mohan, S R P Mohapatra, M Montani, C J Moore, D Moraru, G Moreno, S Morisaki, S R Morriss, B Mours, C M Mow-Lowry, G Mueller, A W Muir, A Mukherjee, D Mukherjee, S Mukherjee, N Mukund, A Mullavey, J Munch, E A Muñiz, M Muratore, P G Murray, K Napier, I Nardecchia, L Naticchioni, R K Nayak, J Neilson, G Nelemans, T J N Nelson, M Nery, A Neunzert, L Nevin, J M Newport, G Newton, K K Y Ng, T T Nguyen, D Nichols, A B Nielsen, S Nissanke, A Nitz, A Noack, F Nocera, D Nolting, C North, L K Nuttall, J Oberling, G D O'Dea, G H Ogin, J J Oh, S H Oh, F Ohme, M A Okada, M Oliver, P Oppermann, R J Oram, B O'Reilly, R Ormiston, L F Ortega, R O'Shaughnessy, S Ossokine, D J Ottaway, H Overmier, B J Owen, A E Pace, J Page, M A Page, A Pai, S A Pai, J R Palamos, O Palashov, C Palomba, A Pal-Singh, Howard Pan, Huang-Wei Pan, B Pang, P T H Pang, C Pankow, F Pannarale, B C Pant, F Paoletti, A Paoli, M A Papa, A Parida, W Parker, D Pascucci, A Pasqualetti, R Passaquieti, D Passuello, M Patil, B Patricelli, B L Pearlstone, M Pedraza, R Pedurand, L Pekowsky, A Pele, S Penn, C J Perez, A Perreca, L M Perri, H P Pfeiffer, M Phelps, O J Piccinni, M Pichot, F Piergiovanni, V Pierro, G Pillant, L Pinard, I M Pinto, M Pirello, M Pitkin, M Poe, R Poggiani, P Popolizio, E K Porter, A Post, J Powell, J Prasad, J W W Pratt, G Pratten, V Predoi, T Prestegard, M Prijatelj, M Principe, S Privitera, R Prix, G A Prodi, L G Prokhorov, O Puncken, M Punturo, P Puppo, M Pürrer, H Qi, V Quetschke, E A Quintero, R Quitzow-James, F J Raab, D S Rabeling, H Radkins, P Raffai, S Raja, C Rajan, B Rajbhandari, M Rakhmanov, K E Ramirez, A Ramos-Buades, P Rapagnani, V Raymond, M Razzano, J Read, T Regimbau, L Rei, S Reid, D H Reitze, W Ren, S D Reyes, F Ricci, P M Ricker, S Rieger, K Riles, M Rizzo, N A Robertson, R Robie, F Robinet, A Rocchi, L Rolland, J G Rollins, V J Roma, J D Romano, R Romano, C L Romel, J H Romie, D Rosińska, M P Ross, S Rowan, A Rüdiger, P Ruggi, G Rutins, K Ryan, S Sachdev, T Sadecki, L Sadeghian, M Sakellariadou, L Salconi, M Saleem, F Salemi, A Samajdar, L Sammut, L M Sampson, E J Sanchez, L E Sanchez, N Sanchis-Gual, V Sandberg, J R Sanders, B Sassolas, B S Sathyaprakash, P R Saulson, O Sauter, R L Savage, A Sawadsky, P Schale, M Scheel, J Scheuer, J Schmidt, P Schmidt, R Schnabel, R M S Schofield, A Schönbeck, E Schreiber, D Schuette, B W Schulte, B F Schutz, S G Schwalbe, J Scott, S M Scott, E Seidel, D Sellers, A S Sengupta, D Sentenac, V Sequino, A Sergeev, D A Shaddock, T J Shaffer, A A Shah, M S Shahriar, M B Shaner, L Shao, B Shapiro, P Shawhan, A Sheperd, D H Shoemaker, D M Shoemaker, K Siellez, X Siemens, M Sieniawska, D Sigg, A D Silva, L P Singer, A Singh, A Singhal, A M Sintes, B J J Slagmolen, B Smith, J R Smith, R J E Smith, S Somala, E J Son, J A Sonnenberg, B Sorazu, F Sorrentino, T Souradeep, A P Spencer, A K Srivastava, K Staats, A Staley, M Steinke, J Steinlechner, S Steinlechner, D Steinmeyer, S P Stevenson, R Stone, D J Stops, K A Strain, G Stratta, S E Strigin, A Strunk, R Sturani, A L Stuver, T Z Summerscales, L Sun, S Sunil, J Suresh, P J Sutton, B L Swinkels, M J Szczepańczyk, M Tacca, S C Tait, C Talbot, D Talukder, D B Tanner, M Tápai, A Taracchini, J D Tasson, J A Taylor, R Taylor, S V Tewari, T Theeg, F Thies, E G Thomas, M Thomas, P Thomas, K A Thorne, E Thrane, S Tiwari, V Tiwari, K V Tokmakov, K Toland, M Tonelli, Z Tornasi, A Torres-Forné, C I Torrie, D Töyrä, F Travasso, G Traylor, J Trinastic, M C Tringali, L Trozzo, K W Tsang, M Tse, R Tso, L Tsukada, D Tsuna, D Tuyenbayev, K Ueno, D Ugolini, C S Unnikrishnan, A L Urban, S A Usman, H Vahlbruch, G Vajente, G Valdes, M Vallisneri, N van Bakel, M van Beuzekom, J F J van den Brand, C Van Den Broeck, D C Vander-Hyde, L van der Schaaf, J V van Heijningen, A A van Veggel, M Vardaro, V Varma, S Vass, M Vasúth, A Vecchio, G Vedovato, J Veitch, P J Veitch, K Venkateswara, G Venugopalan, D Verkindt, F Vetrano, A Viceré, A D Viets, S Vinciguerra, D J Vine, J-Y Vinet, S Vitale, T Vo, H Vocca, C Vorvick, S P Vyatchanin, A R Wade, L E Wade, M Wade, R Walet, M Walker, L Wallace, S Walsh, G Wang, H Wang, J Z Wang, W H Wang, Y F Wang, R L Ward, J Warner, M Was, J Watchi, B Weaver, L-W Wei, M Weinert, A J Weinstein, R Weiss, L Wen, E K Wessel, P Weßels, J Westerweck, T Westphal, K Wette, J T Whelan, S E Whitcomb, B F Whiting, C Whittle, D Wilken, D Williams, R D Williams, A R Williamson, J L Willis, B Willke, M H Wimmer, W Winkler, C C Wipf, H Wittel, G Woan, J Woehler, J Wofford, K W K Wong, J Worden, J L Wright, D S Wu, D M Wysocki, S Xiao, H Yamamoto, C C Yancey, L Yang, M J Yap, M Yazback, Hang Yu, Haocun Yu, M Yvert, A Zadrożny, M Zanolin, T Zelenova, J-P Zendri, M Zevin, L Zhang, M Zhang, T Zhang, Y-H Zhang, C Zhao, M Zhou, Z Zhou, S J Zhu, X J Zhu, A B Zimmerman, M E Zucker, J Zweizig
On August 14, 2017 at 10∶30:43 UTC, the Advanced Virgo detector and the two Advanced LIGO detectors coherently observed a transient gravitational-wave signal produced by the coalescence of two stellar mass black holes, with a false-alarm rate of ≲1 in 27 000 years. The signal was observed with a three-detector network matched-filter signal-to-noise ratio of 18. The inferred masses of the initial black holes are 30.5_{-3.0}^{+5.7}M_{⊙} and 25.3_{-4.2}^{+2.8}M_{⊙} (at the 90% credible level). The luminosity distance of the source is 540_{-210}^{+130}  Mpc, corresponding to a redshift of z=0...
October 6, 2017: Physical Review Letters
https://www.readbyqxmd.com/read/29047951/convex-relaxation-for-illumination-control-of-multi-color-multiple-input-multiple-output-visible-light-communications-with-linear-minimum-mean-square-error-detection
#14
Junming Dong, Yanyu Zhang, Yijun Zhu
Visible light communications (VLC) using multi-color light-emitting diodes (LEDs) can support simultaneous high-speed data rate and high-quality lighting. However, since the radiation spectrum of LEDs has a limited width, spectral overlapping will result in multi-color cross talk even when optical filters are applied at the receivers. Moreover, since LEDs are used for illumination and wireless data transmission in the meantime, both lighting quality and communication performance must be considered in VLC systems...
August 10, 2017: Applied Optics
https://www.readbyqxmd.com/read/29037244/prediction-of-microbe-disease-association-from-the-integration-of-neighbor-and-graph-with-collaborative-recommendation-model
#15
Yu-An Huang, Zhu-Hong You, Xing Chen, Zhi-An Huang, Shanwen Zhang, Gui-Ying Yan
BACKGROUND: Accumulating clinical researches have shown that specific microbes with abnormal levels are closely associated with the development of various human diseases. Knowledge of microbe-disease associations can provide valuable insights for complex disease mechanism understanding as well as the prevention, diagnosis and treatment of various diseases. However, little effort has been made to predict microbial candidates for human complex diseases on a large scale. METHODS: In this work, we developed a new computational model for predicting microbe-disease associations by combining two single recommendation methods...
October 16, 2017: Journal of Translational Medicine
https://www.readbyqxmd.com/read/29028901/a-collaborative-filtering-based-approach-to-biomedical-knowledge-discovery
#16
Jake Lever, Sitanshu Gakkhar, Michael Gottlieb, Tahereh Rashnavadi, Santina Lin, Celia Siu, Maia Smith, Martin Jones, Martin Krzywinski, Steven J Jones
Motivation: The increase in publication rates makes it challenging for an individual researcher to stay abreast of all relevant research in order to find novel research hypotheses. Literature-based discovery methods make use of knowledge graphs built using text mining and can infer future associations between biomedical concepts that will likely occur in new publications. These predictions are a valuable resource for researchers to explore a research topic. Current methods for prediction are based on the local structure of the knowledge graph...
September 26, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28988250/prevalence-of-glucose-6-phosphate-dehydrogenase-deficiency-in-neonates-in-egypt
#17
Soheir Abo Elella, Mahaa Tawfik, Naglaa Barseem, Wafaa Moustafa
BACKGROUND: Glucose-6-phosphate dehydrogenase (G6PD) deficiency is an X-linked disorder which causes neonatal jaundice in most cases, and under certain conditions, can cause a spectrum of hemolytic manifestations. OBJECTIVE: To determine the local prevalence of G6PD deficiency in newborns. DESIGN: Cross-sectional. SETTING: University hospital. METHODS: Infants born during 2015 were prospectively screened for G6PD deficiency...
September 2017: Annals of Saudi Medicine
https://www.readbyqxmd.com/read/28981512/a-collaborative-approach-for-research-paper-recommender-system
#18
Khalid Haruna, Maizatul Akmar Ismail, Damiasih Damiasih, Joko Sutopo, Tutut Herawan
Research paper recommenders emerged over the last decade to ease finding publications relating to researchers' area of interest. The challenge was not just to provide researchers with very rich publications at any time, any place and in any form but to also offer the right publication to the right researcher in the right way. Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions...
2017: PloS One
https://www.readbyqxmd.com/read/28954878/col4a2-is-associated-with-lacunar-ischemic-stroke-and-deep-ich-meta-analyses-among-21-500-cases-and-40-600-controls
#19
Kristiina Rannikmäe, Vhinoth Sivakumaran, Henry Millar, Rainer Malik, Christopher D Anderson, Mike Chong, Tushar Dave, Guido J Falcone, Israel Fernandez-Cadenas, Jordi Jimenez-Conde, Arne Lindgren, Joan Montaner, Martin O'Donnell, Guillaume Paré, Farid Radmanesh, Natalia S Rost, Agnieszka Slowik, Martin Söderholm, Matthew Traylor, Sara L Pulit, Sudha Seshadri, Brad B Worrall, Daniel Woo, Hugh S Markus, Braxton D Mitchell, Martin Dichgans, Jonathan Rosand, Cathie L M Sudlow
OBJECTIVE: To determine whether common variants in familial cerebral small vessel disease (SVD) genes confer risk of sporadic cerebral SVD. METHODS: We meta-analyzed genotype data from individuals of European ancestry to determine associations of common single nucleotide polymorphisms (SNPs) in 6 familial cerebral SVD genes (COL4A1, COL4A2, NOTCH3, HTRA1, TREX1, and CECR1) with intracerebral hemorrhage (ICH) (deep, lobar, all; 1,878 cases, 2,830 controls) and ischemic stroke (IS) (lacunar, cardioembolic, large vessel disease, all; 19,569 cases, 37,853 controls)...
October 24, 2017: Neurology
https://www.readbyqxmd.com/read/28885602/network-location-aware-service-recommendation-with-random-walk-in-cyber-physical-systems
#20
Yuyu Yin, Fangzheng Yu, Yueshen Xu, Lifeng Yu, Jinglong Mu
Cyber-physical systems (CPS) have received much attention from both academia and industry. An increasing number of functions in CPS are provided in the way of services, which gives rise to an urgent task, that is, how to recommend the suitable services in a huge number of available services in CPS. In traditional service recommendation, collaborative filtering (CF) has been studied in academia, and used in industry. However, there exist several defects that limit the application of CF-based methods in CPS. One is that under the case of high data sparsity, CF-based methods are likely to generate inaccurate prediction results...
September 8, 2017: Sensors
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