Nikmat Felda Kepada Umat Melayu by Shuib, Md. Shukri

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Noble metal and enzymatic catalysts for plating and biofuel cell by Tan, Desmond Chun Long

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Modelling the electrical characteristics of Si/Transition metal oxide solar cells by Nurfadilah Asuwar

“…The contribution of high-cost thermal budget and average efficiency may dissuade the commercial market from converting to these solar cells. However, recent research has pushed the effectiveness of solar cells with the introduction of hybrid solar cells particularly using transition metal oxides (TMO). …”
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Developing metallic cathode for low-temperature solid oxide fuel cell applications by Yu, Chen-Chiang

Subjects: “…DRNTU::Engineering::Materials::Metallic materials…”
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Knowledge and practice regarding medication use among elderly with chronic diseases in Felda Tembangau 2, Kemayan, Pahang by Farid, Aina Natasha Mohd

“…The aim of this study was to determine the levels of knowledge and practice regarding medication use among elderly with chronic diseases in FELDA Tembangau 2, Kemayan, Pahang and to explore the correlation between these two variables. …”
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Solution processed transition metal oxides selective contacts for Si heterojunction solar cells by Lu, Chenjin

“…Therefore, alternatives materials, such as transition metal oxides (TMOs), with carrier selectivity similar to p-type a-Si that can improve current performance have attracted strong research interest. …”
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Obama's energy policy: the energy plan is in reality a climate change plan by Matzke, R

“…The US administration’s energy plan has attracted global attention not because it meets the energy needs of US industry and US consumers but rather, because it is a plan that will result in the reduction of climate changing CO2 industrial emissions in the use of fuel to create energy. …”

Neuroimaging meta regression for coordinate based meta analysis data with a spatial model by Yu, Y, Pintos Lobo, R, Riedel, MC, Bottenhorn, K, Laird, AR, Nichols, T

“…Coordinate-based meta-analysis combines evidence from a collection of neuroimaging studies to estimate brain activation. …”

Control-oriented meta-learning by Richards, Spencer M., Azizan, Navid, Slotine, Jean-Jacques, Pavone, Marco

“…Specifically, we meta-learn the adaptive controller with closed-loop tracking simulation as the base-learner and the average tracking error as the meta-objective. …”
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Planning models by Crooks, Lawrence.

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Operando electrodeposition of nonprecious metal copper nanocatalysts on low-dimensional support materials for nitrate reduction reactions by Tan, Shu Fen, Roslie, Hany, Salim, Teddy, Han, Zengyu, Wu, Dongshuang, Liang, Caihong, Teo, Lim Fong, Lam, Yeng Ming

Subjects: “…Electrochemical liquid cell…”
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Investigation on interaction reaction mechanism between metallic interconnect and electrodes in solid oxide fuel cell by Zhen, Yongda

“…Solid oxide fuel cell (SOFC) is probably the most efficient energy conversion device with very low greenhouse gas emission. …”
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The "Paulson Plan" and its implications by Woo, Raymond Weng Pong

“…The US government's plan to inject US$ 700 billion into the finacial sector may have improved sentiment among investors and monitoring authorities in Wall Street. …”
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Beyond masters and master plans : participatory urban planning in Singapore by Lee, Ryan Kin Ho

“…Through case studies of plans for the Lower Peirce golf courses and the Cross Island Line, this paper seeks to understand how Singapore, an archetype of a developmental state with a centralised planning system, incorporates public participation in urban planning. …”
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Meta-Learning Frameworks for Imaging Applications / by Sharma, Ashok, 1977-, editor 319639, Sengar, Sandeep Singh, 1985-, editor 656390, Singh, Parveen, 1976-, editor 656391, IGI Global Scientific Publishing (Online service) 655412

“…Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. …”
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Meta-reinforcement learning in quantitative trading by Wong, Wei Jie

“…One technique used together with reinforcement learning to train an agent to adapt to new variations of tasks is deep meta-reinforcement learning (Meta-RL) (Wang, et al., 2017). …”
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Kaohsiung's port strategic plan for growth. by Goh, Yew Leng., Leong, Kim Hock., Shu, Tai Yong., Wong, Paul.

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Environment and Planning B

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Planning Design Iterations by Unger, Darian W., Eppinger, Steven D.

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AI in urban planning by Low, Ryan Wai Zhun

“…With the advancement of AI and technology nowadays, urban planners can tap on this potential to revolutionise their methods of planning land use configuration. In this paper, a machine learning based framework for land use configuration is proposed. …”
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