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Development of advanced artificial intelligence models for daily rainfall prediction 期刊论文
ATMOSPHERIC RESEARCH, 2020, 237
作者:  Binh Thai Pham;  Lu Minh Le;  Tien-Thinh Le;  Kien-Trinh Thi Bui;  Vuong Minh Le;  Hai-Bang Ly;  Prakash, Indra
收藏  |  浏览/下载:11/0  |  提交时间:2020/07/02
Rainfall  Artificial Neural Networks  Robustness analysis  Support Vector Machines  Adaptive Network based Fuzzy Inference System  Particle Swarm Optimization  
Use and misuse of the net present value in environmental studies 期刊论文
ECOLOGICAL ECONOMICS, 2020, 174
作者:  Knoke, Thomas;  Gosling, Elizabeth;  Paul, Carola
收藏  |  浏览/下载:11/0  |  提交时间:2020/05/13
Decision-making  Discounted utility  Deforestation  Costs of carbon  Land use  Multi-criteria optimization  
Do Existing Multiobjective Evolutionary Algorithms Use a Sufficient Number of Operators? An Empirical Investigation for Water Distribution Design Problems 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Wang, Peng;  Zecchin, Aaron C.;  Maier, Holger R.;  Zheng, Feifei;  Newman, Jeffrey P.
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/02
multiobjective evolutionary algorithms  operators  water distribution system design optimization  Borg  GALAXY  NSGA-II  
Hydropower Production Benefits More From 1.5 degrees C than 2 degrees C Climate Scenario 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Meng, Ying;  Liu, Junguo;  Leduc, Sylvain;  Mesfun, Sennai;  Kraxner, Florian;  Mao, Ganquan;  Qi, Wei;  Wang, Zifeng
收藏  |  浏览/下载:9/0  |  提交时间:2020/05/13
global warming  hydropower(sic)hydro-economic modeling  optimization model  ISIMIP  PCR-GLOBWB  protected areas  
Blind to carbon risk? An analysis of stock market reaction to the Paris Agreement 期刊论文
ECOLOGICAL ECONOMICS, 2020, 170
作者:  Monasterolo, Irene;  de Angelis, Luca
收藏  |  浏览/下载:16/0  |  提交时间:2020/07/02
Asset pricing  Paris Agreement announcement  Low-carbon indices  Carbon-intensive indices  Systematic risk  Markowitz'  s portfolio optimization  Market model  Fama-French five-factor model  Risk-adjusted return  Stranded assets  
A lower X-gate in TASK channels traps inhibitors within the vestibule 期刊论文
NATURE, 2020
作者:  Chen, Tao;  Nomura, Kinya;  Wang, Xiaolin;  Sohrabi, Reza;  Xu, Jin;  Yao, Lingya;  Paasch, Bradley C.;  Ma, Li;  Kremer, James;  Cheng, Yuti;  Zhang, Li;  Wang, Nian;  Wang, Ertao;  Xin, Xiu-Fang;  He, Sheng Yang
收藏  |  浏览/下载:32/0  |  提交时间:2020/07/03

TWIK-related acid-sensitive potassium (TASK) channels-members of the two pore domain potassium (K-2P) channel family-are found in neurons(1), cardiomyocytes(2-4) and vascular smooth muscle cells(5), where they are involved in the regulation of heart rate(6), pulmonary artery tone(5,7), sleep/wake cycles(8) and responses to volatile anaesthetics(8-11). K-2P channels regulate the resting membrane potential, providing background K+ currents controlled by numerous physiological stimuli(12-15). Unlike other K-2P channels, TASK channels are able to bind inhibitors with high affinity, exceptional selectivity and very slow compound washout rates. As such, these channels are attractive drug targets, and TASK-1 inhibitors are currently in clinical trials for obstructive sleep apnoea and atrial fibrillation(16). In general, potassium channels have an intramembrane vestibule with a selectivity filter situated above and a gate with four parallel helices located below  however, the K-2P channels studied so far all lack a lower gate. Here we present the X-ray crystal structure of TASK-1, and show that it contains a lower gate-which we designate as an '  X-gate'  -created by interaction of the two crossed C-terminal M4 transmembrane helices at the vestibule entrance. This structure is formed by six residues ((VLRFMT248)-V-243) that are essential for responses to volatile anaesthetics(10), neurotransmitters(13) and G-protein-coupled receptors(13). Mutations within the X-gate and the surrounding regions markedly affect both the channel-open probability and the activation of the channel by anaesthetics. Structures of TASK-1 bound to two high-affinity inhibitors show that both compounds bind below the selectivity filter and are trapped in the vestibule by the X-gate, which explains their exceptionally low washout rates. The presence of the X-gate in TASK channels explains many aspects of their physiological and pharmacological behaviour, which will be beneficial for the future development and optimization of TASK modulators for the treatment of heart, lung and sleep disorders.


The X-ray crystal structure of the potassium channel TASK-1 reveals the presence of an X-gate, which traps small-molecule inhibitors in the intramembrane vestibule and explains their low washout rates from the channel.


  
How to balance China's sustainable development goals through industrial restructuring: a multi-regional input-output optimization of the employment-energy-water-emissions nexus 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (3)
作者:  Wang, Jiayu;  Wang, Ke;  Wei, Yi-Ming
收藏  |  浏览/下载:16/0  |  提交时间:2020/07/02
scenario analysis  synergy  trade-offs  multi-regional input-output analysis  multi-objective optimization  
Spatial targeting of floodplain restoration to equitably mitigate flood risk 期刊论文
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2020, 61
作者:  Gourevitch, Jesse D.;  Singh, Nitin K.;  Minot, Josh;  Raub, Kristin B.;  Rizzo, Donna M.;  Wemple, Beverley C.;  Ricketts, Taylor H.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
Ecosystem services  Distributional equity  Flood mitigation  Hydraulic modeling  Floodplain revegetation  Multi-objective optimization  
Virtual discovery of melatonin receptor ligands to modulate circadian rhythms 期刊论文
NATURE, 2020, 579 (7800) : 609-+
作者:  Huang, Weijiao;  Masureel, Matthieu;  Qu, Qianhui;  Janetzko, John;  Inoue, Asuka;  Kato, Hideaki E.;  Robertson, Michael J.;  Nguyen, Khanh C.;  Glenn, Jeffrey S.;  Skiniotis, Georgios;  Kobilka, Brian K.
收藏  |  浏览/下载:23/0  |  提交时间:2020/07/03

The neuromodulator melatonin synchronizes circadian rhythms and related physiological functions through the actions of two G-protein-coupled receptors: MT1 and MT2. Circadian release of melatonin at night from the pineal gland activates melatonin receptors in the suprachiasmatic nucleus of the hypothalamus, synchronizing the physiology and behaviour of animals to the light-dark cycle(1-4). The two receptors are established drug targets for aligning circadian phase to this cycle in disorders of sleep(5,6) and depression(1-4,7-9). Despite their importance, few in vivo active MT1-selective ligands have been reported(2,8,10-12), hampering both the understanding of circadian biology and the development of targeted therapeutics. Here we docked more than 150 million virtual molecules to an MT1 crystal structure, prioritizing structural fit and chemical novelty. Of these compounds, 38 high-ranking molecules were synthesized and tested, revealing ligands with potencies ranging from 470 picomolar to 6 micromolar. Structure-based optimization led to two selective MT1 inverse agonists-which were topologically unrelated to previously explored chemotypes-that acted as inverse agonists in a mouse model of circadian re-entrainment. Notably, we found that these MT1-selective inverse agonists advanced the phase of the mouse circadian clock by 1.3-1.5 h when given at subjective dusk, an agonist-like effect that was eliminated in MT1- but not in MT2-knockout mice. This study illustrates the opportunities for modulating melatonin receptor biology through MT1-selective ligands and for the discovery of previously undescribed, in vivo active chemotypes from structure-based screens of diverse, ultralarge libraries. A computational screen of an ultra-large virtual library against the structure of the melatonin receptor found nanomolar ligands, and ultimately two selective MT1 inverse agonists that induced phase advancement of the mouse circadian clock when given at subjective dusk.


  
Analysis of China's olefin industry with a system optimization model With different scenarios of dynamic oil and coal prices 期刊论文
ENERGY POLICY, 2019, 135
作者:  Xu, Zhongming;  Zhang, Yaru;  Fang, Chenhao;  Yu, Yadong;  Ma, Tieju
收藏  |  浏览/下载:10/0  |  提交时间:2020/02/17
Olefin industry  System optimization model  Carbon emission  Oil price