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  1. 52961
    “…BACKGROUND: Modern dairy cattle breeding goals include several production and more and more functional traits. …”
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    A comparison of methods to calculate a total merit index using stochastic simulation
  2. 52962
    “…CONCLUSIONS: The results demonstrate that the HBM and the associated estimation algorithm offer a powerful tool for identifying significant genetic associations with phenotypes of interest, among a large number of SNPs that are common in modern genetics studies.…”
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    Mixture SNPs effect on phenotype in genome-wide association studies
  3. 52963
    “…Many studies have been conducted on patients’ preferences in choosing their health care provider, but the majority of them were conducted in modern western societies, establishing a need to explore other populations. …”
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    Israeli Druze women’s sex preferences when choosing obstetricians and gynecologists
  4. 52964
    “…BACKGROUND: Alfalfa (Medicago sativa L.) is the primary forage legume crop species in the United States and plays essential economic and ecological roles in agricultural systems across the country. Modern alfalfa is the result of hybridization between tetraploid M. sativa ssp. sativa and M. sativa ssp. falcata. …”
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    The Medicago sativa gene index 1.2: a web-accessible gene expression atlas for investigating expression differences between Medicago sativa subspecies
  5. 52965
    por Joshi, Peter K., Esko, Tonu, Mattsson, Hannele, Eklund, Niina, Gandin, Ilaria, Nutile, Teresa, Jackson, Anne U., Schurmann, Claudia, Smith, Albert V., Zhang, Weihua, Okada, Yukinori, Stančáková, Alena, Faul, Jessica D., Zhao, Wei, Bartz, Traci M., Concas, Maria Pina, Franceschini, Nora, Enroth, Stefan, Vitart, Veronique, Trompet, Stella, Guo, Xiuqing, Chasman, Daniel I., O’Connel, Jeffery R., Corre, Tanguy, Nongmaithem, Suraj S., Chen, Yuning, Mangino, Massimo, Ruggiero, Daniela, Traglia, Michela, Farmaki, Aliki-Eleni, Kacprowski, Tim, Bjonnes, Andrew, van der Spek, Ashley, Wu, Ying, Giri, Anil K., Yanek, Lisa R., Wang, Lihua, Hofer, Edith, Rietveld, Cornelius A., McLeod, Olga, Cornelis, Marilyn C., Pattaro, Cristian, Verweij, Niek, Baumbach, Clemens, Abdellaoui, Abdel, Warren, Helen R., Vuckovic, Dragana, Mei, Hao, Bouchard, Claude, Perry, John R.B., Cappellani, Stefania, Mirza, Saira S., Benton, Miles C., Broeckel, Ulrich, Medland, Sarah E., Lind, Penelope A., Malerba, Giovanni, Drong, Alexander, Yengo, Loic, Bielak, Lawrence F., Zhi, Degui, van der Most, Peter J., Shriner, Daniel, Mägi, Reedik, Hemani, Gibran, Karaderi, Tugce, Wang, Zhaoming, Liu, Tian, Demuth, Ilja, Zhao, Jing Hua, Meng, Weihua, Lataniotis, Lazaros, van der Laan, Sander W., Bradfield, Jonathan P., Wood, Andrew R., Bonnefond, Amelie, Ahluwalia, Tarunveer S., Hall, Leanne M., Salvi, Erika, Yazar, Seyhan, Carstensen, Lisbeth, de Haan, Hugoline G., Abney, Mark, Afzal, Uzma, Allison, Matthew A., Amin, Najaf, Asselbergs, Folkert W., Bakker, Stephan J.L., Barr, R. Graham, Baumeister, Sebastian E., Benjamin, Daniel J., Bergmann, Sven, Boerwinkle, Eric, Bottinger, Erwin P., Campbell, Archie, Chakravarti, Aravinda, Chan, Yingleong, Chanock, Stephen J., Chen, Constance, Chen, Y.-D. Ida, Collins, Francis S., Connell, John, Correa, Adolfo, Cupples, L. Adrienne, Smith, George Davey, Davies, Gail, Dörr, Marcus, Ehret, Georg, Ellis, Stephen B., Feenstra, Bjarke, Feitosa, Mary F., Ford, Ian, Fox, Caroline S., Frayling, Timothy M., Friedrich, Nele, Geller, Frank, Scotland, Generation, Gillham-Nasenya, Irina, Gottesman, Omri, Graff, Misa, Grodstein, Francine, Gu, Charles, Haley, Chris, Hammond, Christopher J., Harris, Sarah E., Harris, Tamara B., Hastie, Nicholas D., Heard-Costa, Nancy L., Heikkilä, Kauko, Hocking, Lynne J., Homuth, Georg, Hottenga, Jouke-Jan, Huang, Jinyan, Huffman, Jennifer E., Hysi, Pirro G., Ikram, M. Arfan, Ingelsson, Erik, Joensuu, Anni, Johansson, Åsa, Jousilahti, Pekka, Jukema, J. Wouter, Kähönen, Mika, Kamatani, Yoichiro, Kanoni, Stavroula, Kerr, Shona M., Khan, Nazir M., Koellinger, Philipp, Koistinen, Heikki A., Kooner, Manraj K., Kubo, Michiaki, Kuusisto, Johanna, Lahti, Jari, Launer, Lenore J., Lea, Rodney A., Lehne, Benjamin, Lehtimäki, Terho, Liewald, David C.M., Lind, Lars, Loh, Marie, Lokki, Marja-Liisa, London, Stephanie J., Loomis, Stephanie J., Loukola, Anu, Lu, Yingchang, Lumley, Thomas, Lundqvist, Annamari, Männistö, Satu, Marques-Vidal, Pedro, Masciullo, Corrado, Matchan, Angela, Mathias, Rasika A., Matsuda, Koichi, Meigs, James B., Meisinger, Christa, Meitinger, Thomas, Menni, Cristina, Mentch, Frank D., Mihailov, Evelin, Milani, Lili, Montasser, May E., Montgomery, Grant W., Morrison, Alanna, Myers, Richard H., Nadukuru, Rajiv, Navarro, Pau, Nelis, Mari, Nieminen, Markku S., Nolte, Ilja M., O’Connor, George T., Ogunniyi, Adesola, Padmanabhan, Sandosh, Palmas, Walter R., Pankow, James S., Patarcic, Inga, Pavani, Francesca, Peyser, Patricia A., Pietilainen, Kirsi, Poulter, Neil, Prokopenko, Inga, Ralhan, Sarju, Redmond, Paul, Rich, Stephen S., Rissanen, Harri, Robino, Antonietta, Rose, Lynda M., Rose, Richard, Sala, Cinzia, Salako, Babatunde, Salomaa, Veikko, Sarin, Antti-Pekka, Saxena, Richa, Schmidt, Helena, Scott, Laura J., Scott, William R., Sennblad, Bengt, Seshadri, Sudha, Sever, Peter, Shrestha, Smeeta, Smith, Blair H., Smith, Jennifer A., Soranzo, Nicole, Sotoodehnia, Nona, Southam, Lorraine, Stanton, Alice V., Stathopoulou, Maria G., Strauch, Konstantin, Strawbridge, Rona J., Suderman, Matthew J., Tandon, Nikhil, Tang, Sian-Tsun, Taylor, Kent D., Tayo, Bamidele O., Töglhofer, Anna Maria, Tomaszewski, Maciej, Tšernikova, Natalia, Tuomilehto, Jaakko, Uitterlinden, Andre G., Vaidya, Dhananjay, van Hylckama Vlieg, Astrid, van Setten, Jessica, Vasankari, Tuula, Vedantam, Sailaja, Vlachopoulou, Efthymia, Vozzi, Diego, Vuoksimaa, Eero, Waldenberger, Melanie, Ware, Erin B., Wentworth-Shields, William, Whitfield, John B., Wild, Sarah, Willemsen, Gonneke, Yajnik, Chittaranjan S., Yao, Jie, Zaza, Gianluigi, Zhu, Xiaofeng, Project, The BioBank Japan, Salem, Rany M., Melbye, Mads, Bisgaard, Hans, Samani, Nilesh J., Cusi, Daniele, Mackey, David A., Cooper, Richard S., Froguel, Philippe, Pasterkamp, Gerard, Grant, Struan F.A., Hakonarson, Hakon, Ferrucci, Luigi, Scott, Robert A., Morris, Andrew D., Palmer, Colin N.A., Dedoussis, George, Deloukas, Panos, Bertram, Lars, Lindenberger, Ulman, Berndt, Sonja I., Lindgren, Cecilia M., Timpson, Nicholas J., Tönjes, Anke, Munroe, Patricia B., Sørensen, Thorkild I.A., Rotimi, Charles N., Arnett, Donna K., Oldehinkel, Albertine J., Kardia, Sharon L.R., Balkau, Beverley, Gambaro, Giovanni, Morris, Andrew P., Eriksson, Johan G., Wright, Margie J., Martin, Nicholas G., Hunt, Steven C., Starr, John M., Deary, Ian J., Griffiths, Lyn R., Tiemeier, Henning, Pirastu, Nicola, Kaprio, Jaakko, Wareham, Nicholas J., Pérusse, Louis, Wilson, James G., Girotto, Giorgia, Caulfield, Mark J., Raitakari, Olli, Boomsma, Dorret I., Gieger, Christian, van der Harst, Pim, Hicks, Andrew A., Kraft, Peter, Sinisalo, Juha, Knekt, Paul, Johannesson, Magnus, Magnusson, Patrik K.E., Hamsten, Anders, Schmidt, Reinhold, Borecki, Ingrid B., Vartiainen, Erkki, Becker, Diane M., Bharadwaj, Dwaipayan, Mohlke, Karen L., Boehnke, Michael, van Duijn, Cornelia M., Sanghera, Dharambir K., Teumer, Alexander, Zeggini, Eleftheria, Metspalu, Andres, Gasparini, Paolo, Ulivi, Sheila, Ober, Carole, Toniolo, Daniela, Rudan, Igor, Porteous, David J., Ciullo, Marina, Spector, Tim D., Hayward, Caroline, Dupuis, Josée, Loos, Ruth J.F., Wright, Alan F., Chandak, Giriraj R., Vollenweider, Peter, Shuldiner, Alan, Ridker, Paul M., Rotter, Jerome I., Sattar, Naveed, Gyllensten, Ulf, North, Kari E., Pirastu, Mario, Psaty, Bruce M., Weir, David R., Laakso, Markku, Gudnason, Vilmundur, Takahashi, Atsushi, Chambers, John C., Kooner, Jaspal S., Strachan, David P., Campbell, Harry, Hirschhorn, Joel N., Perola, Markus, Polašek, Ozren, Wilson, James F.
    Publicado 2015
    “…However, the effect of the more distant parental relatedness common in modern human populations is less well understood. …”
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    Directional dominance on stature and cognition in diverse human populations
  6. 52966
    “…RESULTS: Based on a multi-dimensional scaling analysis, we highlighted four main clusters in this dataset, which corresponded to wild sheep, mouflon, primitive North European breeds and modern sheep (including Merino), respectively. The neighbor-network analysis further differentiated North-European and Mediterranean domestic breeds, with subclusters of Merino and Merino-derived breeds, other Spanish breeds and other Italian breeds. …”
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    Merino and Merino-derived sheep breeds: a genome-wide intercontinental study
  7. 52967
    “…Rasch analysis was also applied as a modern methods of psychometric assessment of the questionnaire. …”
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    Validation and cross-cultural adaptation of the National Eye Institute Visual Function Questionnaire (NEI VFQ-25) in Serbian patients
  8. 52968
    “…BACKGROUND: Malignant bone tumors of the lower extremity are more frequently found in children and adolescents than in adults. Modern treatment regimens led to high limb salvage rates and offer the choice between endoprosthetic replacement and rotationplasty in many cases. …”
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    Long-term functional outcome and quality of life following rotationplasty for treatment of malignant tumors
  9. 52969
    “…According to the current knowledge, probably the most critical pathogenic event in the development of implant-related infection is biofilm formation, which starts immediately after bacterial adhesion on an implant and effectively protects the microorganisms from the immune system and systemic antibiotics. A rationale, modern prevention of biomaterial-associated infections should then specifically focus on inhibition of both bacterial adhesion and biofilm formation. …”
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    Antibacterial coating of implants in orthopaedics and trauma: a classification proposal in an evolving panorama
  10. 52970
    “…Our analyses suggest modern birds have maintained a repertoire of up to 15 opsins. …”
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    Gene loss, adaptive evolution and the co-evolution of plumage coloration genes with opsins in birds
  11. 52971
    “…BACKGROUND: The spread of mammographic screening programs has allowed an increasing amount of early breast cancer diagnosis. A modern approach to non-palpable breast lesions requires an accurate intraoperative localization, in order to achieve a complete surgical resection. …”
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    A modified sentinel node and occult lesion localization (SNOLL) technique in non-palpable breast cancer: a pilot study
  12. 52972
    “…BACKGROUND: The association of chronic renal insufficiency with outcomes after percutaneous coronary intervention (PCI) in the current era of drug-eluting stents and modern antithrombotic therapy has not been well characterized. …”
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    Association of Chronic Renal Insufficiency With In-Hospital Outcomes After Percutaneous Coronary Intervention
  13. 52973
    “…BACKGROUND: The increasing number of operative deliveries is a topic of major concern in modern obstetrics. Maternal thyroid function is of known influence on many obstetric parameters. …”
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    Increased maternal TSH and decreased maternal FT4 are associated with a higher operative delivery rate in low-risk pregnancies: A prospective cohort study
  14. 52974
    “…Hence, we find it worthwhile to recommend that any modern motif discovery algorithm should attempt to take into account intra-motif dependencies. …”
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    Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data
  15. 52975
    “…BACKGROUND: Rapid modernization in the East Sepik (ES) Province of Papua New Guinea (PNG) is resulting in a decrease in individuals knowledgeable in medicinal plant use. …”
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    An ethnobotanical survey of medicinal plants used in the East Sepik province of Papua New Guinea
  16. 52976
    “…RESULTS: FlexDM addresses four fundamental limitations with the WEKA Experimenter: reliance on a verbose and difficult-to-modify XML schema; inability to meta-optimise experiments over a large number of algorithm hyper-parameters; inability to recover from software or hardware failure during a large experiment; and failing to leverage modern multicore processor architectures. Direct comparisons between the FlexDM and default WEKA XML schemas demonstrate a 10-fold improvement in brevity for a specification that allows finer control of experimental procedures. …”
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    FlexDM: Simple, parallel and fault-tolerant data mining using WEKA
  17. 52977
    “…BACKGROUND: Powdery mildew (PM) is the most common fungal disease of cucumber and other cucurbit crops, while breeding the PM-resistant materials is the effective way to defense this disease, and the recent development of modern genetics and genomics make us aware of that studying the resistance genes is the essential way to breed the PM high-resistance plant. …”
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    Mining candidate genes associated with powdery mildew resistance in cucumber via super-BSA by specific length amplified fragment (SLAF) sequencing
  18. 52978
    “…CONCLUSION: We have developed a comprehensive RTQA model for trials involving modern radiotherapy. These procedures could also serve as examples of extended RTQA for future radiotherapy trials involving quantitative use of PET and tumour motion.…”
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    Lungtech, a phase II EORTC trial of SBRT for centrally located lung tumours – a clinical physics perspective
  19. 52979
    por Abeje, Gedefaw, Motbaynor, Achenef
    Publicado 2016
    “…CONCLUSIONS: This study revealed that the level of demand and met need for modern contraceptives among reproductive age women on antiretroviral therapy in South Gondar and North Wollo Zones was higher than that of sexually active married women in Ethiopia. …”
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    Demand for family planning among HIV positive women on ART: the case of South Gondar and North Wollo Zones Amhara region
  20. 52980
    “…Additional parameters that would identify patients who are at increased risk of arrhythmias and appropriate ICD interventions would be of clinical value. Modern ICDs are relatively complex devices with a number of functions, including the possibility to perform noninvasive programmed stimulation (NIPS) with an implanted electrode located in the right ventricle. …”
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    Non-invasive programmed stimulation to identify high-risk patients with implanted cardioverter defibrillator (the NIPS-ICD study): study protocol for a randomized controlled trial
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