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Sökning: WFRF:(McLellan Q)

  • Resultat 1-8 av 8
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1.
  • Campbell, PJ, et al. (författare)
  • Pan-cancer analysis of whole genomes
  • 2020
  • Ingår i: Nature. - : Nature Publishing Group. - 1476-4687 .- 0028-0836. ; 578:7793, s. 82-
  • Tidskriftsartikel (refereegranskat)
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2.
  • Han, L. K. M., et al. (författare)
  • Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group
  • 2020
  • Ingår i: Molecular Psychiatry. - 1359-4184 .- 1476-5578.
  • Tidskriftsartikel (refereegranskat)abstract
    • Major depressive disorder (MDD) is associated with an increased risk of brain atrophy, aging-related diseases, and mortality. We examined potential advanced brain aging in adult MDD patients, and whether this process is associated with clinical characteristics in a large multicenter international dataset. We performed a mega-analysis by pooling brain measures derived from T1-weighted MRI scans from 19 samples worldwide. Healthy brain aging was estimated by predicting chronological age (18–75 years) from 7 subcortical volumes, 34 cortical thickness and 34 surface area, lateral ventricles and total intracranial volume measures separately in 952 male and 1236 female controls from the ENIGMA MDD working group. The learned model coefficients were applied to 927 male controls and 986 depressed males, and 1199 female controls and 1689 depressed females to obtain independent unbiased brain-based age predictions. The difference between predicted “brain age” and chronological age was calculated to indicate brain-predicted age difference (brain-PAD). On average, MDD patients showed a higher brain-PAD of +1.08 (SE 0.22) years (Cohen’s d = 0.14, 95% CI: 0.08–0.20) compared with controls. However, this difference did not seem to be driven by specific clinical characteristics (recurrent status, remission status, antidepressant medication use, age of onset, or symptom severity). This highly powered collaborative effort showed subtle patterns of age-related structural brain abnormalities in MDD. Substantial within-group variance and overlap between groups were observed. Longitudinal studies of MDD and somatic health outcomes are needed to further assess the clinical value of these brain-PAD estimates. © 2020, The Author(s).
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3.
  • Chen, S., et al. (författare)
  • Investment decision on shallow geothermal heating & cooling based on compound options model : A case study of China
  • 2019
  • Ingår i: Applied Energy. - : Elsevier Ltd. - 0306-2619 .- 1872-9118. ; 254
  • Tidskriftsartikel (refereegranskat)abstract
    • Developing shallow geothermal energy is expected to play an important role to supply affordable, clean and reliable heating by many countries in the world. However, the development is mainly hindered by the high upfront investment costs and various risks involved in the exploration, construction and operation phases. The present study proposed a compound options model to explore the optimal investment timing and value based on the consideration of both investment and operational flexibilities. The Least Square Monte Carlo and Markov Chain Monte Carlo methods were employed in the model to find the solutions. A case study was carried out for China, and five scenarios were simulated to understand the effects of different policies including subsidy, carbon trading mechanism, preferential taxation and preferential electricity price. The obtained results show that, (i) the incentive policies are essential for the development of shallow geothermal energy, which can attract more investment before 2030; (ii) the government is suggested to carry out a preferential electricity price for shallow geothermal development, rather than increase the subsidy; (iii) the application of compound options method increases the investment value in all five scenarios, but its impact on investment timing varies.
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5.
  • Tang, Y., et al. (författare)
  • Study on the impacts of sharing business models on economic performance of distributed PV-Battery systems
  • 2018
  • Ingår i: Energy. - : Elsevier Ltd. - 0360-5442 .- 1873-6785. ; 161, s. 544-558
  • Tidskriftsartikel (refereegranskat)abstract
    • In order to promote the development of energy storage industry and relieve the retirement pressure of EV batteries, the application of retired EV batteries in energy storage for second-life use has gained significant attentions. Considering that distributed battery storages are still not economically attractive enough at present, the booming of sharing economy may provide a more feasible option. Based on a non-cooperative game theoretical model, this study aims to explore the impact of sharing business models on economic performance of retired EV batteries integrated with distributed PV systems. Four scenarios were proposed, including: a traditional scenario of S1 - individual battery storages, the sharing scenarios of S2 - shared battery storage, S3 - shared PV generation, and S4 - shared battery storage and shared PV generation. Through a case study in Beijing, the obtained results show that: (i)although sharing business models may not guarantee to bring economic benefits to each individual, they can contribute to a reduction in electricity expenses of the whole community; (ii) sharing business models can enhance PV self-consumption ratio and battery utilization ratio; (iii) sharing business models can improve the NPV by 1995 RMB-6975 RMB compared to the traditional scenario.
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6.
  • Tang, Y., et al. (författare)
  • The social-economic-environmental impacts of recycling retired EV batteries under reward-penalty mechanism
  • 2019
  • Ingår i: Applied Energy. - : Elsevier Ltd. - 0306-2619 .- 1872-9118. ; 251
  • Tidskriftsartikel (refereegranskat)abstract
    • With the increasing popularity of Electric Vehicles (EVs), a large number of EV batteries are intensively reaching their end-of-life, which has posed substantial challenges in ecological protection and sustainable development. However, the traditional subsidy mechanism is not effective in the current recycling market. Moreover, it is not conducive for guiding the EV industry to reduce dependence on the governmental financial support. As the reward-penalty mechanism has been successfully applied in similar fields, such as the recycling of waste portable batteries, it is expected to become a feasible alternative policy to promote the recycling of retired EV batteries. Therefore, this study aims to investigate the social-economic-environmental impacts of recycling retired EV batteries under reward-penalty mechanisms by developing a Stackelberg game theoretical model. Three scenarios are proposed and compared: S1 no policy intervention, S2 subsidy mechanism, and S3 reward-penalty mechanism. The obtained results show that:(i) Compared with the subsidy mechanism, the reward-penalty mechanism presents greater effects on recycling rate and the social welfare; (2) Under the subsidy mechanism, consumer surplus and the profit of EV manufacturer are two main driving factors of the social welfare. Under the reward-penalty mechanism, the reduced environmental burden tends to be another key contribution; (3) A relatively low minimum recycling rate favors the environmental benefit, consumer surplus and profit of EV manufacturer, while a relatively high minimum recycling rate is beneficial to reduce both the policy implementation cost and environmental burden caused by untreated EV batteries.
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7.
  • Weinstein, J. N., et al. (författare)
  • The cancer genome atlas pan-cancer analysis project
  • 2013
  • Ingår i: Nature Genetics. - 1061-4036 .- 1546-1718. ; 45:10, s. 1113-1120
  • Tidskriftsartikel (refereegranskat)abstract
    • The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tumors to discover molecular aberrations at the DNA, RNA, protein and epigenetic levels. The resulting rich data provide a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages. The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA. Analysis of the molecular aberrations and their functional roles across tumor types will teach us how to extend therapies effective in one cancer type to others with a similar genomic profile.
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8.
  • Zhang, Q., et al. (författare)
  • An integrated scenario analysis for future zero-carbon energy system
  • 2015
  • Ingår i: International journal of energy research (Print). - 0363-907X .- 1099-114X. ; 39:7, s. 993-1010
  • Tidskriftsartikel (refereegranskat)abstract
    • An integrated scenario analysis methodology has been proposed for zero-carbon energy system in perspectives of social-economy, environment and technology. By using the methodology, service demands in all sectors were estimated based on social-economic data, and then the best technology and energy mixes were obtained to meet the service demands. The methodology was applied to Japan toward zero-carbon energy system out to the year of 2100, and three different scenarios of nuclear power development are considered in light of the Fukushima accident: (i) no further introduction of nuclear, (ii) fixed portion and (iii) no limit of nuclear. The results show that, zero-carbon energy scenario can be attained in the year 2100 when electricity will supply 75% of total energy consumption, and three power generation scenarios were proposed, 30% renewable and 70% gas-carbon capture and storage (CCS) in Scenario 1, respective one-third nuclear, renewable and gas-CCS in Scenario 2, and 60% nuclear power, 20% renewable and 10% gas-CCS in Scenario 3. Finally, Scenario 2 is rated as the most balanced scenario by putting emphasis on the availability of diversified power source, considering the inter-comparison of the three scenarios from the four aspects of cost, CO2 emission, risk and diversity. 
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