Microwave tunable dielectric properties of multilayer CNT membranes for smart applications by Liu, L., Yang, Z. H., Kong, Ling Bing, Yin, W. Y., Wang, S.

“…Dielectric permittivity and tunability of the circular membranes were measured from 0.1 to 7 GHz by using a single-port coaxial line method. The frequency and bias voltage dependent dielectric properties were interpreted based on percolation theory. …”
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What do people want? Views on platforms and the digital public sphere in eight countries by Ejaz, W, Fletcher, R, Nielsen, RK, McGregor, S

“…Findings highlight a phenomenon of ‘platform ambivalence,’ where people value platforms for their easy access to information and connectivity but remain sceptical of misinformation, bias, privacy violations, and divisive content. Social media, in particular, is viewed as more divisive than other platforms. …”

Writers' libraries and vestigial notes as cultural heritage: minding the gaps in the material record by Van Hulle, D

“…Paying special attention to the risks of implicit material bias, the essay develops an analogy with André Malraux's musée imaginaire. …”

High-resolution synthetic population mapping for quantifying disparities in disaster impacts: an application in the Bangladesh Coastal Zone by Rubinyi, S, Verschuur, J, Goldblatt, R, Gussenbauer, J, Kowarik, A, Mannix, J, Bottoms, B, Hall, J

“…We overlay the dataset with satellite-derived flood extents of Cyclone Fani, affecting the region in 2019, quantifying the number of exposed households, their socioeconomic characteristics, and the exposure bias of certain household variables. We demonstrate how combining various modelling techniques could provide novel insights into the exposure of poor and vulnerable groups, which could help inform the emergency response after extreme events as well targeting adaptation options to those most in need of them.…”

Measuring the performances of covariates using exponential survival analysis with partly-interval censored simulation data by Muhamad Jamil, Siti Afiqah, Lai, Jessintha, Abdullah, Mohd Asrul Affendi

“…This paper aims at proposing the partly-interval censored data into the fixed and time-varying covariates and measure the performances of Exponential survival distribution using mean square error (MSE), mean bias error (MBE), mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE) and standard error. …”
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Map matching algorithms for intelligent transportation system by Hou, Xiangting

“…Alternatively, the data-driven approaches determine the weights from the selected historical routes of vehicles. However, estimation bias may be introduced due to inappropriate routes selection. …”
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Studies on plasma assisted molecular beam epitaxial growth of GaN-based multilayer heterostructures on Si for photodetector application by Zheng, Yi

“…Photocurrent measurements under different applied bias (1 to 3 V) and wavelength of light are performed. …”
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Germanium on Silicon Integrated Photonics for the Mid-Wave Infrared by Morgan, Rachel E.

“…A reverse-bias plasma dispersion effect modulator at 4.6 µm wavelength is designed with predicted V subscript 𝜋 of 4 V, L of 3 mm, V subscript 𝜋 L of 1.24 V·cm, and speed of 3.2 GHz. …”
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Surface plasmon resonance (SPR) enhanced biosensors by Zhang, Jinling

“…The limit of detection (LOD) in buffer can be improved by 2 orders of magnitude upon changing from no bias, 0 V, to -0.2 V bias applied on the sensor surface. …”
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Digging Up Threats to Validity: A Data Marshalling Approach to Sensitivity Analysis by Zeng, Anna, Cafarella, Mike

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Going postdigital : presenting and promoting digital art within contemporary digital culture by Grba, Dejan

“…Combined with glitches of human cognition such as confirmation bias, framing and heuristic reasoning, this contributes to our prevailing illusion that today digital art is widely recognized, well established and adequately evaluated. …”
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Advances and applications of large language models II by Ng, Qi Xuan

“…By integrating LLMs with other libraries, Convo2Calendar functions as a comprehensive 5-in-1 virtual meeting minute writer, including a bias-free transcription and a user-friendly 24/7 Q&A service.…”
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Proteomic and metabolomic analyses of the human adult myocardium reveal ventricle-specific regulation in end-stage cardiomyopathies by Hunter, B, Li, M, Parker, BL, Koay, YC, Harney, DJ, Pearson, E, Cao, J, Chen, GT, Guneratne, O, Smyth, GK, Larance, M, O’Sullivan, JF, Lal, S

“…Inter-ventricular significance of these metabolic pathways was then found to be diminished within end-stage dilated cardiomyopathy and ischaemic cardiomyopathy, while heart failure-associated pathways were increased in the left ventricle relative to the right within ischaemic cardiomyopathy, such as fluid sheer-stress, increased glutamine-glutamate ratio, and down-regulation of contractile proteins, indicating a left ventricular pathological bias.…”

Symmetry and generalisation in machine learning by Elesedy, B

“…This constitutes a rigorous proof that symmetry, in the form of invariance or equivariance, is a useful inductive bias.</p> <br> <p>We apply these ideas to equivariance and invariance in random design least squares and kernel ridge regression respectively. …”

Revisiting project delivery performance: evidence from Swedish transport infrastructure by Chapman, P

“…Both road and rail investments proved economically profitable and were typically delivered to budget, evidence that questions theory claiming optimism bias and malicious agency dynamics such as strategic misrepresentation are endemic in decision-making during planning and persistently cause poor project performance. …”

Combining experimental and observational data through a power likelihood by Lin, X, Tarp, JM, Evans, RJ

“…In contrast, observational data are becoming increasingly accessible in large volumes but can be subject to bias as a result of hidden confounding. Given these complementary features, we propose a power likelihood approach to augmenting RCTs with observational data to improve the efficiency of treatment effect estimation. …”

Search for QCD instantons at the LHC using the ATLAS Detector by Harris, YT

“…Despite the deployment of DNNs, signal discrimination has proved to be difficult, with instanton event kinematics being very similar to those of the minimum-bias background events. Blinded results show that the analysis has an expected exclusion sensitivity to a signal strength value of $\mu = 412.6^{+151.9}_{ −110.3}$.…”

Nonlinear regression approach to estimating Johnson SB parameters for diameter data by Abd Kudus, Kamziah, Ahmad, M I, Lapongan, Jaffirin

“…Results suggested that the nonlinear regression method was superior for estimating parameters of the Johnson S(B) distribution for diameter data in terms of bias, root mean square error, and goodness-of-fit tests.…”

Technical Tender Evaluation Using Analytical Hierarchy Process (AHP) by Mohamed, Nor Hafizah, Lamsali, Hendrik, Sathyamoorthy, Dinesh

“…AHP also provides more accurate results with minimal bias. It is expected that the findings of this study will be beneficial to improve the existing procurement system. …”
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Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration by Car, Lorainne Tudor, Kyaw, Bhone Myint, Dunleavy, Gerard, Smart, Neil A., Semwal, Monika, Rotgans, Jerome Ingmar, Low-Beer, Naomi, Campbell, James

“…Two authors independently screened studies, extracted data, and assessed the risk of bias. We contacted study authors for additional information, if necessary. …”
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