Cognitive training and mild cognitive impairment : a review by Chua, Xavier Cheng En, Seow, Jonathan Wei En, Tan, Huiting

“…Mild cognitive impairment (MCI) is largely viewed as a pre-clinical stage in the trajectory of Alzheimer’s disease (AD) where the extent of cognitive decline is relatively mild, thus allowing for the application of earlier, more effective treatment. …”
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Oxidation of a P-C Bond under Mild Conditions by Ilić, Gordana, Gaguly, Rakesh, Petković, Milena, Vidović, Dragoslav

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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. …”

Cognitive and physical age gaps in relation to mild cognitive impairment and behavioral phenotypes by Yu Junhong, Ng, Ted Kheng Siang, Mahendran, Rathi

“…In the present study, we examined these age gaps in relation to behavioral phenotypes and mild cognitive impairment (MCI) among community-dwelling older adults. …”
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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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Mild and efficient C2-alkenylation of indoles with alkynes catalyzed by a cobalt complex by Ding, Zhenhua, Yoshikai, Naohiko

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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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Mildly reduced graphene oxide-Ag nanoparticle hybrid films for surface-enhanced Raman scattering by Li, Xiaocheng, Tay, Beng Kang, Li, Junshuai, Tan, Dunlin, Tan, Chong Wei, Liang, Kun

“…Large-area mildly reduced graphene oxide (MR-GO) monolayer films were self-assembled on SiO2/Si surfaces via an amidation reaction strategy. …”
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Global trends and hotspots of exercise interventions for mild cognitive impairment: A global bibliometric analysis by Yi, Qing, Wang, Shuo, Feng, Xiaowei, Liu, Xutao

“…Background: Exercise interventions for mild cognitive impairment (MCI) have been extensively studied. …”
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Global trends and hotspots of exercise interventions for mild cognitive impairment: A global bibliometric analysis by Yi, Qing, Wang, Shuo, Feng, Xiaowei, Liu, Xutao, Selvanayagam, Victor Selvarajah, Cheong, Jadeera Phaik Geok

“…Background: Exercise interventions for mild cognitive impairment (MCI) have been extensively studied. …”
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Beyond MELD Score: Association of Machine Learning-derived CT Body Composition with 90-Day Mortality Post Transjugular Intrahepatic Portosystemic Shunt Placement by Elhakim, Tarig, Mansur, Arian, Kondo, Jordan, Omar, Omar M. F., Ahmed, Khalid, Tabari, Azadeh, Brea, Allison, Ndakwah, Gabriel, Iqbal, Shams, Allegretti, Andrew S., Fintelmann, Florian J., Wehrenberg-Klee, Eric, Bridge, Christopher, Daye, Dania

“…Multivariable logistic regression showed that SMA (OR = 0.97, p < 0.01), SMI (OR = 0.94, p = 0.03), SFA (OR = 0.99, p = 0.01), and VFA (OR = 0.99, p = 0.02) remained significant predictors of 90-day mortality when adjusted for MELD score. ROC curve analysis demonstrated that including SMA, SFA, and VFA improves the predictive power of MELD score in predicting 90-day mortality after TIPS (AUC, 0.84; 95% CI: 0.77, 0.91; p = 0.02). …”
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Ultrasensitive LSPR meta-devices for biochemical sensing by Wu, Ruhua

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A review of reporting quality in case-control studies of pancreatic cancer by MacCarthy, A, MacCarthy, A, Dhiman, P, Dhiman, P, Kirtley, S, Kirtley, S, Logullo, P, Logullo, P, Copsey, B, Copsey, B, Collins, G, Collins, G

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Meta-analysis of antecedents of information technology (IT) professionals turnover. by Kua, Shimin., Kong, Kua., Quek.

“…Information Technology (IT) Professionals, Meta-analysis, Antecedents of turnover, Relationship to turnover, Role factors, Career factors, Work factors, Job factors, Demographic factors, Organizational Commitment…”
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Factors affecting duration of SARS-Cov-2 viral shedding in mildly symptomatic patients isolated in a community facility by Cheng, Hui Mei, Zhao, Xiahong, Lim, Wei Shyann, Tan, Beatrice Jia Min, Tey, Hong Liang

“…Mildly symptomatic cases of Covid-19 in previously-well individuals form the majority of infections and also serve as potent vectors of transmission. …”
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Financial forecasting using meta-cognitive fuzzy neural networks by Singh Akhand Pratap

“…The project tried to design a system to make investment decisions in the Stock Market using Type-2 Meta-Cognitive Fuzzy Neural Networks. Unlike simple learning mechanisms, meta-cognition attempts a selective learning approach. …”
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Meta-cognitive learning algorithm for neuro-fuzzy inference systems by Kartick Subramanian

“…Similar to Nelson and Narens model of meta-cognition, McFIS consists of a cognitive and a meta-cognitive component. …”
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On the dynamic performance of additively manufactured visco-elastic meta-materials by Le Barbenchon, L, Lißner, M

“…By combining the advantages of AM and EPU, enhanced and customized meta-materials can be created, surpassing the mechanical performance of traditional bulk materials. …”

A hybrid meta-heuristic approach for buffer allocation in remanufacturing environment / by Vahid Abbasgholi Pourghadim, 1981- 600015, Noordin Mohd. Yusof, supervisor 238361, Wong, Kuan Yew, supervisor 185071, Fakulti Kejuruteraan Mekanikal 8081