Genotype-phenotype maps for gene networks: from evolution to computation by Camargo, FQ

“…We find that these maps show a strong bias towards simple phenotypes, a pattern known as <em>simplicity bias</em>. …”

Quantum computing and quantum neural networks: their foundation, optimisation, and application by Pointing, J

“…We explore the foundation of QNNs by studying their bias and expressivity. We investigate whether a QNN can have a classical deep neural network's (DNN) bias, known as simplicity bias, which is hypothesised to contribute to the success of DNNs. …”

TiN-Mediated Multi-Level Negative Photoconductance of the ZrO2 Breakdown Path by Zhou, Yu, Kawashima, Tomohito, Ang, Diing Shenp

“…A negative voltage-bias does not produce such a tuning effect but can restore the NPC response suppressed by the positive voltage-bias before a re-breakdown step. …”
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The robust F-statistic as a test for weak instruments by Windmeijer, F

“…For the linear model with a single endogenous variable, (Montiel Olea and Pflueger 2013) proposed the effective F-statistic as a test for weak instruments in terms of the Nagar bias of the two-stage least squares (2SLS) or limited information maximum likelihood (LIML) estimator relative to a benchmark worst-case bias. …”

Models for predicting risk of endometrial cancer: a systematic review by Forder, BH, Ardasheva, A, Atha, K, Nentwich, H, Abhari, R, Kartsonaki, C

“…The Prediction model Risk-of-Bias Assessment Tool was used to assess model quality. …”

Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms by Richter, T, Shani, R, Tal, S, Derakshan, N, Cohen, N, Enock, PM, McNally, RJ, Mor, N, Daches, S, Williams, AD, Yiend, J, Carlbring, P, Kuckertz, JM, Yang, W, Reinecke, A, Beevers, CG, Bunnell, BE, Koster, EHW, Zilcha-Mano, S, Okon-Singer, H

“…Machine learning methods, alongside traditional statistical approaches, were employed to analyze 22 datasets with 1544 participants who underwent working memory training, attention bias modification, interpretation bias modification, or inhibitory control training. …”

Studies on high-frequency noise characteristics in deep submicron NMOSFETs by Zeng, Rong

“…The reduction of minimum noise figure with the increase in body bias may provide a possible methodology to finely adjust the device high-frequency noise performance for circuit design.…”
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Analysis of high power gallium nitride based high electron mobility transistors for next generation electronics applications by Vompolu, Ganesh Sampath

“…Issues like self-heating at high temperature and bias levels are known to result in reduced mobility and increased leakages in HEMTs. …”
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Effect of Spacecraft Charging on Performance of Ion Electrospray Propulsion Systems by Shaik, Saba Z., Corrado, Matthew N., Lozano, Paulo C.

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Deposition and characterisation of carbon thin films via patented Off-Plane Double Bend FCVA deposition system by Lee, Jin Zhou

“…By varying the substrate temperature and voltage bias of the FCVA system, different types of carbon thin film can be obtained. …”
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Assessing the role of surface electric fields on the interfacial degradation in silicon solar cells by Liu, D

“…</p> <br> <p>Through the current-voltage measurement for the PERC and TOPCon cells during bias annealing, I have shown the first bias-controlled hydrogen-induced contact resistance change in TOPCon cells. …”

Narcissistic personality inventory and hypersensitive narcissism scale : are they appropriate for cross-cultural studies? by Low, Jennifer Shu Fong.

“…Further investigation of the specific items in the two scales showed clear indication of item bias and culture-bound items. The reason for Asian Americans endorsing the items more does not necessarily mean they are more narcissistic but because these items are more relevant to their culture.…”
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Low frequency noise measurement in the MOS transistor by Thet, Kyaw Win.

“…The low frequency noise spectrum and the dependence of noise on the different gate dielectrics, channel lengths and bias gate and drain voltages have been examined for frequencies between 1 Hz and 100 kHz. …”
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A cognitive model of psychological resilience by Parsons, S, Kruijt, J, Fox, E

“…Future research directions targeted at testing hypotheses drawn from the Resilient Bias Model are discussed.…”

Women with Mandarin accent in the Canadian English-speaking hiring context: can evaluations of warmth undermine gender equity? by Hideg, I, Hancock, S, Shen, W

“…This overlooks whether the biases women experience due to their accent manifests differently. …”

Dark current analysis of InasSb-based hetero-p-i-n mid-infrared photodiode by Suo, Fei, Tong, Jinchao, Zhang, Dao Hua

“…The activation energy derived from measurement results indicates the positive (negative) correlation between the dominant dark current density and voltage bias (temperature). Whatever the voltage bias (temperature), this relationship always exists, indicating the high stability and reliability of our devices. …”
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An update of a systematic review and meta-analyses exploring flavours in intervention studies of e-cigarettes for smoking cessation by Lindson, N, Livingstone-Banks, J, Butler, A, Levy, D, Barnett, P, Theodoulou, A, Notley, C, Rigotti, N, Chen, Y, Hartmann-Boyce, J

“…We judged 15 studies at high, seven at low, and three at unclear risk of bias. In studies where participants had a choice of flavours, some switching between flavours occurred (five studies). …”

Investigating Fine-Tuning of Language Models for Multiple-Choice Questions by Wang, Ivy A.

“…This thesis investigates the positional and contextual bias of large language models (LLMs) when used to answer multiple-choice questions (MCQs). …”
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Causal inference in health and disease: a review of the principles and applications of Mendelian randomization by Lovegrove, CE, Howles, SA, Furniss, D, Holmes, MV

“…Conventional observational epidemiological studies are subject to bias from a range of sources; MR analyses can offer an advantage in that they are less prone to bias as they use genetic variants inherited at conception as “instrumental variables”, which are proxies of an exposure. …”

Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models by Zewe, Adam

“…Researchers developed an easy-to-use tool that enables an AI practitioner to find data that suits the purpose of their model, which could improve accuracy and reduce bias.…”
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