Rationalisation of antifungal properties of α-helical pore-forming peptide, mastoparan B by Lim, Edward Jianyang, Goh, Eunice Tze Leng, Tram, Nhan Dai Thien, Periayah, Mercy Halleluyah, Ee, Rachel Pui Lai, Barkham, Timothy Mark Sebastian, Poh, Zhi Sheng, Verma, Navin Kumar, Lakshminarayanan, Rajamani

“…These findings have potential therapeutic implications for the design and development of safe antifungal peptide-based drugs.…”
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Fabrication and characterization of a novel mullite-stainless steel composed hollow fibre membrane for oil/water separation by Almukhtar Omar, Najib Meftah, Othman, Mohd. Hafiz Dzarfan, Zhong, Sheng Tai, Jaafar, Juhana, A. Rahman, Mukhlis, Puteh, Mohd. Hafiz, Abu Bakar, Suriani, Tonni Agustiono Kurniawan, Tonni Agustiono Kurniawan, Tao, Li

“…Afterwards, they were evaluated in an oil/water separation system regarding water flux and oil rejection rate. Based on the findings, there was a gradual increase in the bending strength from 32.1 to 79.8 MPa with increased SS contents from 0 to 12 % (w/w). …”
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Investigation of solar cell carrier lifetime using photoconductance lifetime measurements by Sng, Joseph Ding Wen

“…Consequently, such solution based TMOs are attractive for the fabrication of Si/TMO solar cells. …”
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Layer-by-layer assembled micro and nano carriers for drug delivery applications by Mutukumaraswamy Shaillender

“…Layer-by-Layer (LbL) technology involves the consecutive assembly of oppositely charged polyelectrolytes based on electrostatic interactions onto charged template surfaces. …”
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Optical study of excitonic complexes in transition metal dichalcogenides monolayers by Bao, Di

“…However, the distinct electronic band structure and possible many-particle components lead to complicated excitonic features especially in the photoluminescence spectra of W-based monolayers. Their possible origins and compositions need to be further explored. …”
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Speeding up deep neural network training with decoupled and analytic learning by Zhuang, Huiping

“…The other challenge is that, to implement the analytic learning, there is a possible issue of memory leak caused by matrix operations based on the entire dataset. Hence, a block-wise recursive Moore-Penrose inverse (BRMP) method is proposed which can reformulate the original analytic learning exactly into a block-wise alternative using a block-wise decomposition of Moore-Penrose inverse. …”
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Know Thy Cell-Free DNA: Early Detection of Microsatellite Instability Using Ultra-Low-Pass Cell-Free DNA Sequences by Lu, Nicole

“…Microsatellites are short segments of repeated DNA motifs (i.e., base pair patterns) that are widespread in our genomes. …”
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Investigating the content and function of stress-induced extracellular vesicles in colorectal cancer by Mason, J

“…After validating a SEC-based method to isolate EVs from patient plasma, I showed that nCRT for rectal cancer is associated with altered EV-miRNA cargo. …”

Simulating the transport and dispersal of volcanic ash clouds with initial conditions created by a 3D plume model by Cao, Zhixuan, Bursik, Marcus, Yang, Qingyuan, Patra, Abani

“…Such modeling may therefore provide a path to better forecasts lessening the need for user intervention, or attempts to observe details of an eruption that are beyond the resolution of any potential satellite or ground-based technique, or a posteriori creating a history of ash emission height via inversion.…”
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Coupled acoustic resonator systems with novel acoustic properties by Yang, Yahui

“…In this thesis, three projects to investigate novel properties in sound waves based on coupled acoustic resonator systems are discussed. …”
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Respiratory quality indices for automated monitoring of respiration from sensor data by Birrenkott, D

“…This is primarily because of the lack of a non-invasive, robust, automated method for estimating RR. …”

Investigating the EM performance of building materials for mid-band 5G in urban built environment: an exploratory study by Ng, Sean Jake Peng

“…Experimental and simulation-derived results were cross-validated using their |S11| parameter plots, demonstrating a systemic downward shift in the resonant frequency and associated variations in impedance matching due to changes in loading reactance of the CSRR-loaded ESA. Finally, a novel inversion modelling procedure was developed based on perturbation theory to numerically extrapolate the relative permittivity of the various dielectric-loaded materials. …”
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Towards electrically injected colloidal semiconductor lasers by Thung, Yi Tian

“…Further manipulation of the NPL-based polymer enabled the formation of an interconnected fiber network capable of mode selection and modulation. …”
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Tsewang Norbu NGB by Cantwell, C, Mayer, R

“…Occasionally, the boundaries of a text may not be entirely clear, and we have made case by case editorial decisions based on a number of considerations, including previous scholarship on the text(s) in question, but most importantly, making some attempt to represent what appears to be the understanding of our edition's compilers. …”

Interventions for quitting vaping by Butler, AR, Lindson, N, Livingstone-Banks, J, Notley, C, Turner, T, Rigotti, NA, Fanshawe, TR, Dawkins, L, Begh, R, Wu, AD, Brose, L, Conde, M, Simonavičius, E, Hartmann-Boyce, J

“…We used random‐effects inverse variance methods to calculate mean differences and 95% CI for continuous outcomes. …”

Active vibration control of flexible beam incorporating recursive least square and neural network algorithms. by Abd. Jalil, Nurhanafifi

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Deep tissue blood perfusion assessment using diffuse speckle contrast analysis : a validation study by Lin, Nanda Myaing

“…Non-invasive blood flow measurement in deep tissue level is critical for the clinical blood perfusion assessment during angioplasty procedure. …”
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Generative discovery of de novo chemical designs using diffusion modeling and transformer deep neural networks with application to deep eutectic solvents by Luu, Rachel K, Wysokowski, Marcin, Buehler, Markus J

“…In addition to separate forward and inverse models, we also report an integrated fully prompt-based multi-task generative pretrained transformer model that solves multiple forward, inverse design, and prediction tasks, flexibly and within one model. …”
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Soundfield control using loudspeaker array by Li, Renshi

“…Unlike existing LS methods, the proposed approach estimates the system matrix inverse iteratively and identifies the best estimate of the matrix inverse. …”
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Generative pretrained autoregressive transformer graph neural network applied to the analysis and discovery of novel proteins by Buehler, Markus J

“…We report a flexible language-model-based deep learning strategy, applied here to solve complex forward and inverse problems in protein modeling, based on an attention neural network that integrates transformer and graph convolutional architectures in a causal multi-headed graph mechanism, to realize a generative pretrained model. …”
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