Selection of Decomposition Technology using Fuzzy Multi Criteria Decision Making (S/O 14036) by Omar, Mohd Faizal, Mat Kasim, Maznah

“…This study was conducted to develop decision making tools for determine the best decomposition technology. In order to find the best decomposition technology for food waste management, there are multi-alternative is suggested and the relevant criteria to guide the selection of technology are listed. …”
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Photonic analog-to-digital conversion and photonic microwave signal generation by Wong, Jia haur

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Intelligent microgrid management and EV control under uncertainties in smart grid by Wang, Ran

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Digital Anatomy : Applications of Virtual, Mixed and Augmented Reality / by Uhl, Jean-François, editor 643187, Jorge, J. A. (Joaquim Armando), editor 643188, Lopes, Daniel Simões, editor 643190, Campos, Pedro F., editor 643191

“…Recent studies show that Virtual (VR), Augmented (AR), and Mixed-Reality (MR) can improve both retention and learning outcomes. Readers will find relevant tutorials about three-dimensional reconstruction techniques to perform virtual dissections. …”

Promoting Sustainable Management Through Technological Innovation / by Sahdev, Supriya Lamba, 1984-, editor 656388, Krishnan, Chitra, 1983-, editor 656389, Hassan, Ahdi, 1991-, editor 654727, IGI Global Scientific Publishing (Online service) 655412

“…Business leaders will find practical guidance to integrate sustainable practices and leverage technological innovation in their organizations. …”
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Essays on merchant-generated contents and merchant-to-merchant spillovers in e-commerce platform by Zhang, Xueli

“…Retailers have incentives to exaggerate their product quality to attract more consumers, but with the option of returns, retailers should reconsider it, since consumers might return the product if they find the real product quality is lower than the retailer-displayed quality. …”
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Advanced control of wind power systems by Dang, Dinh Quy

“…The cost function with constraints is then minimized in every sampling time to find optimal control input updates to the plant. …”
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Using machine learning to discover candidate localised transcripts from microscopy and genome-wide bioinformatics data by Kiourlappou, M

“…I further investigate the specific RBPs that contribute the most to the model and find a large percentage of them have established roles in mRNA localisation and RNA methylation.…”

Energy management control strategies for energy storage systems of hybrid electric vehicle: A review by Veerendra Babu, Arigela Sri Satya, Mohd Rusllim, Mohamed, Garcia Marquez, Fausto Pedro

“…Continuous efforts to preserve the environment and to reduce gaseous emissions due to the massive growth of urban economic development and heightened concerns over crude oil depletion have accelerated researchers to find long-term solutions, particularly in the transportation sector with the focus on powertrain electrification. …”
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Partnership Ties Shape Friendship Networks: A Dynamic Social Network Study by Stadtfeld, Christoph, Pentland, Alex

“…In our study, we follow dynamic friendship formation among 126 individuals and their cohabiting partners in a university-related graduate housing community over a period of nine months (N = 2,250 self-reported friendship relations). We find that partnership ties strongly shape the dynamic process of friendship formation. …”
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Two Paths: Why States Join or Avoid China’s Belt and Road Initiative by Atkins, Eleanor, Fravel, M Taylor, Wang, Raymond, Ackert, Nick, Huang, Sihao

“…Thus, we argue that most states should join the BRI unless they view the costs of participation as higher. We hypothesize, and find support for, the argument that democracies are less likely to join because they view participating in a Chinese-led initiative as more costly than non-democracies. …”
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Characterizing Marginalization and Incremental Operations on the Bayes Tree by Fourie, Dehann, Espinoza, Antonio Terán, Kaess, Michael, Leonard, John

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Calibrating DFT Formation Enthalpy Calculations by Multifidelity Machine Learning by Gong, Sheng, Wang, Shuo, Xie, Tian, Chae, Woo Hyun, Liu, Runze, Shao-Horn, Yang, Grossman, Jeffrey C.

“…The multifidelity model is also used as a data-mining approach to find how DFT deviates from experiments by explaining the model output.…”
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Can Plants Perceive Human Gestures? Using AI to Track Eurythmic Human–Plant Interaction by Gil, Alvaro Francisco, Weinbeer, Moritz, Gloor, Peter A.

“…Using machine learning, we found that the voltage differentials over time of the plant predict if (a) eurythmy has been performed, and (b) which kind of eurythmy gestures has been performed. We also find that the signals are different based on the species of the plant. …”
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To What Extent Do Alternative Energy Sources Displace Coal and Oil in Electricity Generation? A Mean-Group Panel Analysis by Liddle, Brantley

“…As such, our approach avoids/addresses several statistical issues common in long-macro panel analyses—heterogeneity, nonstationarity, and cross-sectional dependence—that have largely been ignored/unaddressed in previous displacement studies. Ultimately, we find that the displacement effect is small and only marginally significant for nuclear, and is significant though less than unity for natural gas and hydro, whereas intermittent renewables (solar and wind) have unitary displacement effect. …”
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The 1 → 3 massive splitting functions from QCD factorization and SCET by Craft, Evan, Gonzalez, Mark, Lee, Kyle, Meçaj, Bianka, Moult, Ian

“…Additionally, we also check all iterated and soft limits of our results, finding agreement with predictions from factorization. …”
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No Simple Fix: How AI Harms Reflect Power and Jurisdiction in the Workplace by Nedzhvetskaya, Nataliya, Tan, JS

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Machine learning-guided discovery of gas evolving electrode bubble inactivation by Lake, Jack R, Rufer, Simon, James, Jim, Pruyne, Nathan, Scourtas, Aristana, Schwarting, Marcus, Ambadkar, Aadit, Foster, Ian, Blaiszik, Ben, Varanasi, Kripa K

“…We study electrode inactivation caused by oxygen evolution while using surface engineering to control bubble formation. We find that the inactivation of the entire projected area, as is currently believed, is a poor approximation which leads to non-physical results. …”
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Signatures of wave erosion in Titan’s coasts by Palermo, Rose V, Ashton, Andrew D, Soderblom, Jason M, Birch, Samuel PD, Hayes, Alexander G, Perron, J Taylor

“…Applying this framework to Titan, we find that the shorelines of Titan’s seas are most consistent with flooded landscapes that subsequently have been eroded by waves, rather than a uniform erosional process or no coastal erosion, particularly if wave growth saturates at fetch lengths of tens of kilometers.…”
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Towards Safer Heuristics With Xplain by Karimi, Pantea, Pirelli, Solal, Kakarla, Siva Kesava Reddy, Beckett, Ryan, Segarra, Santiago, Li, Beibin, Namyar, Pooria, Arzani, Behnaz

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