Ligand substitutions between ruthenium–cymene compounds can control protein versus DNA targeting and anticancer activity by Davey, Curt Alexander, Adhireksan, Zenita, Davey, Gabriela E., Campomanes, Pablo, Groessl, Michael, Clavel, Catherine M., Yu, Haojie, Nazarov, Alexey A., Yeo, Charmian Hui Fang, Ang, Wee Han, Dröge, Peter, Rothlisberger, Ursula, Dyson, Paul J.

“…Here we study two prototypical ruthenium-arene agents—the cytotoxic antiprimary tumour compound [(η6-p-cymene)Ru(ethylene-diamine)Cl]PF6 and the relatively non-cytotoxic antimetastasis compound [(η6-p-cymene)Ru(1,3,5-triaza-7-phosphaadamantane)Cl2]—and discover that the former targets the DNA of chromatin, while the latter preferentially forms adducts on the histone proteins. …”
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A robust-based configuration design method of piezoelectric materials for mechanical load identification considering structural vibration suppression by Liu, Yaru, Wang, Lei

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Isolation and characterization of biohydrogen-producing bacteria for biohydrogen fermentation using oil palm biomass-based carbon source by Luthfi, Abdullah Amru Indera, Abdul, Peer Mohamed, Md Jahim, Jamaliah, Engliman, Nurul Sakinah, Jamali, Nur Syakina, Tan, Jian Ping, Abdul Manaf, Shareena Fairuz, Sajab, Mohd Shaiful, Bukhari, Nurul Adela

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Multi-manifold metric learning for face recognition based on image sets by Huang, Likun, Lu, Jiwen, Tan, Yap Peng

“…Our method is extensively evaluated on three widely studied face databases, i.e., Honda/UCSD database, CMU MoBo database and Youtube Celebrities database, and compared to the state-of-the-arts. …”
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Robust deep learning methods for accountable contrast-agent-free CMR imaging in clinical applications by Gonzales, RA

“…This thesis addresses these challenges by proposing and validating novel deep learning approaches to enhance the clinical applicability of CMR T1 mapping.</p> <br> <p>The first goal of this thesis is to provide motion-corrected T1 maps by developing a deep learning-based method for correcting motion artefacts. …”

Neuroimaging meta regression for coordinate based meta analysis data with a spatial model by Yu, Y, Pintos Lobo, R, Riedel, MC, Bottenhorn, K, Laird, AR, Nichols, T

“…To examine the validity of CBMR, we estimate brain activation on 20 meta-analytic datasets, conduct spatial homogeneity tests at the voxel level, and compare the results to those generated by existing kernel-based and model-based approaches. …”

Polarization sensitive multi-hollow-core antiresonant fiber by Raynal, Guillaume, Goel, Charu, Yoo, Seongwoo, Chang, Wonkeun

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Patient deterioration detection using one-class classification via cluster period estimation subtask by Toshitaka, Hayashi, Dalibor, Cimr, Studnička, Filip, Fujita, Hamido, Bušovský, Damián, Cimler, Richard

Electrocatalytic reduction of simulated industrial CO2 and CO mixtures: revising chronoamperometry to enable selective gas mixture reduction via cyclic voltammetry by Chen, Wen Qian, Foo, Cyrus Jit Loong, Ge, Liya, Veksha, Andrei, Chan, Wei Ping, Shen, Yafei, Lisak, Grzegorz

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Detection of road markings for advanced driver assistance by Suchitra Sathyanarayana

“…It relies on decomposing the arrow markings into its constituent parts by representing each part with a unique shape signature using a combination of GAH, signed edges and HT. …”
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Individual-fMRI-approaches reveal cerebellum and visual communities to be functionally connected in obsessive compulsive disorder by Kashyap, Rajan, Eng, Goi Khia, Bhattacharjee, Sagarika, Gupta, Bhanu, Ho, Roger, Ho, Cyrus S. H., Zhang, Melvyn, Mahendran, Rathi, Sim, Kang, Chen, Annabel Shen-Hsing

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Synthesis of fluorescent citric acid carbon dots composites derived from empty fruit bunches of palm oil tree and its anti-bacterial property by Pramudita, Rufina, Marpongahtun, Gea, Saharman, Daulay, Amru, Harahap, Mahyuni, Tan, Yong Zen, Goei, Ronn, Tok, Alfred Iing Yoong

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Differentiating people with schizophrenia from healthy controls in a developing country: an evaluation of portable functional near infrared spectroscopy (fNIRS) as an adjunct diagn... by Tran, Bach Xuan, Nguyen, Tham Thi, Boyer, Laurent, Fond, Guillaume, Auquier, Pascal, Nguyen, Hao Si Anh, Tran, Ha Thi Nhi, Nguyen, Hung Manh, Choi, Jongkwan, Le, Huong Thi, Latkin, Carl A., Nathan, Kalpana Isabel, Husain, Syeda F., McIntyre, Roger S., Ho, Cyrus S. H., Zhang, Melvyn, Ho, Roger C. M.

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Tropical cyclones damage scenarios by Cheong, Charlotte Shi Qi

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Cause-Specific Excess Mortality During the COVID-19 Pandemic (2020–2021) in 12 Countries of the C-MOR Consortium by Beeks, Victoria V., Achilleos, Souzana, Quattrocchi, Annalisa, Pallari, Chryso T., Critselis, Elena, Salameh, Pascale, Rahmanian Haghighi, Mohammad R., Rodriguez-Llanes, Jose M., Ambrosio, Giuseppe, Artemiou, Andreas, Gabel, John, Bennett, Catherine M., Cuthbertson, Joseph, Zimmermann, Claudia

“…This study investigated cause-specific mortality rates in 12 countries during the COVID-19 pandemic in 2020 and 2021. …”
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P4-network : a networking infrastructure for intra-aircraft cabin wireless communication by Pham, Chau Khoa.

“…A machine-learning routing approach, Q-ROUTING, is employed to increase the data rates by combining several redundant commu-nication paths. …”
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Exploring Greek-Cypriot female academics' experiences of precarity through a postcolonial lens: challenges, hopes and the reality of neoliberal universities in Europe by Meletiadou, Eleni

“…Thus, it explored 22 female academics’ experiences of precarity who first worked in various universities in Cyprus and then moved to the United Kingdom to improve employment opportunities, using lengthy semi-structured interviews and opportunity and snowball sampling. …”
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Mapping the Unseen: In Vivo CEST-MRI of Creatine Reveals Improved Cardiac Energetics in Subjects with Obesity Following Bariatric Surgery by Yurista, Salva R., Chen, Shi, Eder, Robert A., Garrett, Thomas, Butsch, W. S., Aminian, Ali, Tang, W. H. W., Farrar, Christian T., Gee, Denise, Abel, E. D., Das, Saumya, Nguyen, Christopher T.

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Human machine interface/brain control for electric vehicles application by Tang, Tao

“…Firstly, a 4-channel TDM-based EEG AFE is presented which focuses on the improvement of Common Mode Rejection Ratio (CMRR). …”
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Comparing analytical, micromagnetic and statistical channel models at 4 Tcbpsi patterned media recording by Cai, Kui, Elidrissi, Moulay Rachid, Eason, Kwaku, Chan, Kheong Sann, Goh, Wang Ling, Chua, M., Zhang, S. H., Qin, Z. L., Chai, K. S., Tan, K. P., Dong, Y., Victora, R. H.

“…On the other side, a statistical model for CGMR has been proposed that measures probabilities of grains flipping based on micromagnetic simulations, named the grain flipping probability (GFP) model. …”
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