Wireless Communication Electronics by Example / by Sobot, Robert, author 596634

Three essays on behavioral and experimental economics by Li, Yupeng

“…In Chapter 3, we propose and examine the de-biasing effect of self-distancing on loss aversion. …”
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The effect of the amyloid-beta peptide on the fluidity of cell membranes : a study by fluorescence correlation spectroscopy by Ng, Justin Wei Qing

“…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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From public health to AI safety: improving machine learning approaches by collecting, selecting, or reducing the need for high-quality data by Brauner, J

“…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. …”

Offline eLearning for undergraduates in health professions : a systematic review of the impact on knowledge, skills, attitudes and satisfaction by Wark, Petra A., Rasmussen, Kristine, Belisario, José Marcano, Molina, Joseph Antonio, Loong, Stewart Lee, Cotic, Ziva, Papachristou, Nikos, Riboli–Sasco, Eva, Car, Lorainne Tudor, Musulanov, Eve Marie, Zhang, Yanfeng, Kunz, Holger, George, Pradeep Paul, Heng, Bee Hoon, Wheeler, Erica Lynette, Al Shorbaji, Najeeb, Svab, Igor, Atun, Rifat, Majeed, Azeem, Car, Josip

“…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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Seroprevalence of SARS-CoV-2 in children and adolescents by Ratcliffe, H

“…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?’ …”

Vision language representation learning by Yang, Xiaofeng

“…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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论萧乾小说中的基督教因素 = Christianity elements in Xiao Qian’s novels by 杨楚依 Yang, Chuyi

“…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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Modeling human-like non-rationality in social agents by Kochanowicz, Jaroslaw Slawomir

“…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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Design of a supply- and temperature-invariant capacitive sensor interface for low power applications by Arup Kocheethra George

“…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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Detection of false data injection attacks in smart grid cyber-physical systems by Li, Beibei

“…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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Unsupervised bayesian generative methods by Li, Shaohua

“…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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