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"qiyas" » "qiyan" (Expand Search), "diyas" (Expand Search), "iiyas" (Expand Search)
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561
Systematic review and meta-analysis of isolated posterior fossa malformations on prenatal imaging (part 2): neurodevelopmental outcome
Published 2016“…<p><strong>Objectives</strong></p> Diagnosis of isolated posterior fossa anomalies in children is biased by the fact that only those that are symptomatic are brought to the attention of the appropriate clinical personnel, and the reported rate is often affected by the adoption of different nomenclature, diagnostic criteria, outcome measures, duration of follow-up and neurodevelopmental tools. …”
Journal article -
562
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563
Three essays on behavioral and experimental economics
Published 2021“…In Chapter 3, we propose and examine the de-biasing effect of self-distancing on loss aversion. …”
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Thesis-Doctor of Philosophy -
564
The effect of the amyloid-beta peptide on the fluidity of cell membranes : a study by fluorescence correlation spectroscopy
Published 2017“…Although there have been several studies done regarding this topic, the results have been conflicting and thus inconclusive, likely due to the drawbacks and biases introduced by techniques used in those studies. …”
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Thesis -
565
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566
From public health to AI safety: improving machine learning approaches by collecting, selecting, or reducing the need for high-quality data
Published 2024“…In the case of misalignment, the lies can be subtle, such as convincing but false text that plays to human biases; identifying a sufficient number of examples to build a dataset from can be difficult. …”
Thesis -
567
Offline eLearning for undergraduates in health professions : a systematic review of the impact on knowledge, skills, attitudes and satisfaction
Published 2019“…Most of the studies were small and subject to several biases. Conclusions: Our results suggest that offline eLearning is equivalent and possibly superior to traditional learning regarding knowledge, skills, attitudes and satisfaction. …”
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Journal Article -
568
Seroprevalence of SARS-CoV-2 in children and adolescents
Published 2023“…Most have been performed in adults, and those in children have predominantly tested samples obtained opportunistically in a clinical context or in school-based populations, both of which bring potential biases.</p> <br> <p>The primary objective of the ‘What’s the STORY?’ …”
Thesis -
569
Vision language representation learning
Published 2023“…Thirdly, vision and language tasks are often trained and evaluated on biased medium-sized datasets, which limits the ability to learn general representations exclusively from such datasets. …”
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Thesis-Doctor of Philosophy -
570
论萧乾小说中的基督教因素 = Christianity elements in Xiao Qian’s novels
Published 2014“…Therefore, we argued that the criticisms based on Xiao's writings were biased. Xiao Qian had spent a tough childhood in the Catholic school. …”
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Final Year Project (FYP) -
571
Modeling human-like non-rationality in social agents
Published 2018“…Human species is the only one capable of consistent rationality, but the scale and gravity of human non-rationality are far greater than often suspected. Cognitive biases and other non-rational influences on key decisions occur disregarding explicit reasoning or goal realization, subconsciously and often in a certainty that they did not take place. …”
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Thesis -
572
Design of a supply- and temperature-invariant capacitive sensor interface for low power applications
Published 2015“…Furthermore, the comparator uses a replica biasing scheme to make the inverter thresholds more resilient to changes arising from process variation. …”
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Thesis -
573
Detection of false data injection attacks in smart grid cyber-physical systems
Published 2019“…In the future hierarchical paradigm of a smart grid CPS, it is considered that the decentralized local agents (LAs) responsible for local management and control can be compromised by FcDI attackers. By issuing fake or biased commands, the attackers anticipate to manipulate the regional electricity prices with the purpose of illicit financial gains. …”
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Thesis -
574
Unsupervised bayesian generative methods
Published 2016“…It aims to find robust estimation of various model hypotheses (model parameters, model structures or values of latent variables), even if the data are scarce, noisy or biased. After prior distributions are put on different places within a generative model, e.g. the parameters, the latent variables, or even the model structure, the model inference converts to Bayesian inference, which is usually more robust. …”
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Thesis