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2921“…To solve the problem of task scheduling in the cloud computing system, this paper proposes a scheduling algorithm for cloud computing based on the driver of dynamic essential path (DDEP). This algorithm applies a predecessor-task layer priority strategy to solve the problem of constraint relations among task nodes. …”
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2922“…Therefore, it is important to identify socioeconomic and demographic drivers of the consumption of RPM. This paper explores how consumption of RPM differs with age, gender, socioeconomic status and in different global contexts. …”
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2923“…The current study is the first to investigate the contribution of compensatory beliefs (i.e., the belief that the negative effects of an unsafe behavior can be "neutralized" by engaging in another safe behavior; e.g., "I can use a mobile phone now because I will slow down ") on drivers’ mobile phone use while driving. The effects of drivers’ personal characteristics on compensatory beliefs, mobile phone use and self-regulatory behaviors were also examined. …”
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2924“…The causes of poor quality of sleep in occupational drivers are multifactorial. The objective of the present study was to assess the prevalence of poor sleep quality among occupational drivers with rotating work schedules and analyze its different risk factors. …”
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2925por Puhkala, Jatta, Kukkonen-Harjula, Katriina, Aittasalo, Minna, Mansikkamäki, Kirsi, Partinen, Markku, Hublin, Christer, Kärmeniemi, Paula, Sallinen, Mikael, Olkkonen, Seppo, Tokola, Kari, Ojala, Anna, Nygård, Clas-Håkan, Fogelholm, Mikael“…We studied dietary patterns, physical activity (PA), and monthly goal setting in a weight reduction intervention in long-distance professional drivers. The study was conducted in Finland in 2009–2012. …”
Publicado 2016
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2927por Lee, Ji-Hyun, Zhao, Xing-Ming, Yoon, Ina, Lee, Jin Young, Kwon, Nam Hoon, Wang, Yin-Ying, Lee, Kyung-Min, Lee, Min-Joo, Kim, Jisun, Moon, Hyeong-Gon, In, Yongho, Hao, Jin-Kao, Park, Kyung-Mii, Noh, Dong-Young, Han, Wonshik, Kim, Sunghoon“…By supposing that the driver mutations should affect the metastasis gene signatures, we develop a novel computational pipeline to identify the driver mutations that affect transcription factors regulating metastasis gene signatures. …”
Publicado 2016
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2928por Cullen, Patricia, Clapham, Kathleen, Hunter, Kate, Treacy, Rebekah, Ivers, Rebecca“…Barriers identified were categorised as individual and family barriers or systemic barriers relating to the justice system, graduated driver licensing (GDL) and service provision. A model is presented that depicts the barriers within a cycle of licensing adversity. …”
Publicado 2016
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2929“…BACKGROUND: Several recent studies have used the Minimum Dominating Set (MDS) model to identify driver nodes, which provide the control of the underlying networks, in protein interaction networks. …”
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2930por Kiessling, Michael K., Schuierer, Sven, Stertz, Silke, Beibel, Martin, Bergling, Sebastian, Knehr, Judith, Carbone, Walter, de Vallière, Cheryl, Tchinda, Joelle, Bouwmeester, Tewis, Seuwen, Klaus, Rogler, Gerhard, Roma, Guglielmo“…We found that the gRNA targeting the driver mutation EGFR was one of the highest-ranking candidates in the EGFR-mutant HCC-827 lung adenocarcinoma cell line. …”
Publicado 2016
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2931por Maslo, Brooke, Schlacher, Thomas A., Weston, Michael A., Huijbers, Chantal M., Anderson, Chris, Gilby, Ben L., Olds, Andrew D., Connolly, Rod M., Schoeman, David S.“…‘Topographic’ exposure was the main driver of mortality of nests placed close to the drift line near the base of dunes, which were lost to waves (particularly during storms) and to a lesser extent depredation. …”
Publicado 2016
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2932por Loiselle, Steven A., Gasparini Fernandes Cunha, Davi, Shupe, Scott, Valiente, Elsa, Rocha, Luciana, Heasley, Eleanore, Belmont, Patricia Pérez, Baruch, AvinoamEnlace del recurso
Publicado 2016
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2933por Topp, Stephanie M., Moonga, Clement N., Luo, Nkandu, Kaingu, Michael, Chileshe, Chisela, Magwende, George, Heymann, S. Jody, Henostroza, GermanEnlace del recurso
Publicado 2016
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2934“…Our methodological approach can be broadly applied by natural resource managers as an effective tool to identify drivers of compliance that can then guide the design of interventions to decrease illegal resource use.…”
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2935por Medina-Gómez, Israel, Madden, Christopher J., Herrera-Silveira, Jorge, Kjerfve, BjörnEnlace del recurso
Publicado 2016
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2936por Yushi, Qiu, Li, Zhimin, Von Roemeling, Christina A., Doeppler, Heike, Marlow, Laura A., Kim, Betty Y.S., Radisky, Derek C., Storz, Peter, Copland, John A., Tun, Han W.Enlace del recurso
Publicado 2016
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2940“…We first quantify the income differentiation facts among taxi drivers. Then we find out that choosing the drop-off places also contributes to the high income for taxi drivers, compared to the previous explanation of mobility intelligence. …”
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