Metasurface-tunable lasing polarizations in a microcavity by Yuan, Zhiyi, Huang, Shih-Hsiu, Qiao, Zhen, Wu, Pin Chieh, Chen, Yu-Cheng

“…The roles of intracavity metasurfaces and light–meta-atom interactions were investigated under a stimulated emission process in a microcavity. …”
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Rigid-elastic combined metamaterial beam with tunable band gaps for broadband vibration suppression by Zhang, Jiazhen, Peng, Xuzhang, Yu, Dewen, Hu, Guobiao, Yang, Yaowen

“…A parametric study elucidates the influences of geometric parameters on band gap formation, followed by an exploration of the tunability of the proposed meta-beam through a graded scheme and optimization strategy. …”
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Molecular characterization of Bacillus, lactic acid bacteria and yeast as potential probiotic isolated from fermented food by Cissé, Hama, Kagambèga, Boureima, Sawadogo, Adama, Tankoano, Abel, Sangaré, Gaston, Traoré, Yves, Ouoba, Irene, Savadogo, Aly

“…Phylogenetic tree were constructed by the neighbour-joining method based on 16S or 26S rRNA genes sequences using MEGA X. Based on colonies characteristics and cells morphology, biochemical tests and gene sequencing, the isolates were identified as Bacillus cereus sensu lato (13), Bacillus pumilus group (03) with one strain (LCG1) presumed LAB was identified as Bacillus australimaris or Bacillus pumilus by 16S rRNA sequencing, Enterococcus durans (03), Lactobacillus paracasei (03), Lactobacillus plantarum (04), Leuconostoc pseudomesenteroides (01), Saccharomyces cerevisiae (04), Kluyveromyces marxianus (01), Candida tropicalis (01), Pichia kudriavzevii (01), Clavispora lusitaniae (02), Rhodotorula mucilaginosa (01) and, Cyberlindnera fabianii (01). …”
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Exploring disease axes as an alternative to distinct clusters for characterizing sepsis heterogeneity by Zhang, Zhongheng, Chen, Lin, Liu, Xiaoli, Yang, Jie, Huang, Jiajie, Yang, Qiling, Hu, Qichao, Jin, Ketao, Celi, Leo A., Hong, Yucai

“…Results The reproducibility of sepsis clustering subtypes across the various studies was modest (median NMI ranging from 0.08 to 0.54). The top-down transfer learning method (model trained on cohorts with greater severity was transferred to cohorts with lower severity score) had a higher NMI value than the bottom-up approach (median [Q1, Q3]: 0.64 [0.49, 0.78] vs. 0.23 [0.2, 0.31], p < 0.001). …”
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BOR2G: Building Optimal Regularised Reconstructions with GPUs (in cubes) by Tanner, M

“…Augmented with Kernel Conditional Density Estimation, our regulariser creates reconstructions with median errors between 5.64 cm and 9.24 cm.</p> <p>Finally, we present a machine-learning pipeline that learns, in an automatic fashion, to recognise the errors in dense reconstructions. …”

Incidence, prevalence, and survival of lung cancer in the United Kingdom from 2000–2021: a population-based cohort study by Corby, G, Barclay, NL, Tan, EH, Burn, E, Delmestri, A, Duarte-Salles, T, Golozar, A, Man, WY, Tietzova, I, Prieto-Alhambra, D, Newby, D

“…PP in 2021 was 0.18%, with the largest rise seen in participants aged over 60 years. Median survival post-diagnosis increased from 6.6 months in those diagnosed between 2000–2004 to 10.0 months between 2015–2019. …”

Outbreaks of COVID-19 in a tuberculosis treatment sanatorium on the Thailand-Myanmar border: a retrospective cohort analysis by Aung, HKK, Swe, LL, Saito, M, Lesseps, S, Janurian, N, Tun, WPP, Maung Maung, B, Than, A, Watthanaworawit, W, Kaewphanderm, N, Gornsawun, G, Pyae Phyo, A, Nosten, F

“…Over half of the COVID-19 patients were infected with TB (n= 104, 64.6%), and the rest were not (n=57, 35.4%). The median (interquartile range) age was 48 (33.5-57.0) and 27 (23-33) years in the TB and in the non-TB COVID-19 patients, respectively. …”

Breaking invisible barriers: does fast internet improve access to input markets? by Demir, B, Javorcik, B, Panigrahi, P

“…Enhanced connectivity increased real income by 2.2% in the median province. Our findings underscore the importance of digital infrastructure investments in fostering economic growth by improving supply chain efficiency and broadening firms’ access to suppliers.…”

Comparison of models to predict incident chronic liver disease: a systematic review and external validation in Chinese adults by Cong, X, Song, S, Li, Y, Song, K, MacLeod, C, Cheng, Y, Lv, J, Yu, C, Sun, D, Pei, P, Yang, L, Chen, Y, Millwood, I, Wu, S, Yang, X, Stevens, R, Chen, J, Chen, Z, Li, L, Kartsonaki, C, Pang, Y

“…We aimed to systematically review CLD prediction models, meta-analyze their performance, and externally validate them in 0.5 million Chinese adults in the China Kadoorie Biobank (CKB). …”

Comparison of models to predict incident chronic liver disease: a systematic review and external validation in Chinese adults by Cong, X, Song, S, Li, Y, Song, K, MacLeod, C, Cheng, Y, Lv, J, Yu, C, Sun, D, Pei, P, Yang, L, Chen, Y, Millwood, I, Wu, S, Yang, X, Stevens, R, Chen, J, Li, L, Kartsonaki, C, Pang, Y, Chen, Z

“…We aimed to systematically review and meta-analyze CLD prediction models and externally validated them in 0.5 million Chinese adults in the China Kadoorie Biobank (CKB).…”

Development and evaluation of a polygenic risk score for lung cancer in never-smoking women: a large-scale prospective Chinese cohort study by Wei, X, Sun, D, Gao, J, Zhang, J, Zhu, M, Yu, C, Ma, Z, Fu, Y, Ji, C, Pei, P, Yang, L, Millwood, IY, Walters, RG, Chen, Y, Du, H, Jin, G, Chen, Z, Hu, Z, Li, L, Shen, H, Lv, J, Ma, H

“…We first performed a large GWAS meta-analysis (8595 cases and 8275 controls) to systematically identify the susceptibility loci for lung cancer in never-smoking Asian women and then generated a PRS using GWAS datasets. …”

Cluster analysis on dynamic graphs by Nguyen, Ngoc Khanh

“…This project describes: a novel graph clustering algorithm that is an efficient extension of the Gibbs sampling under distance-dependent Chinese Restaurant Process, ddCRP for graph, a general cluster ensemble, and a cluster matching algorithm based on the concept of Meta-Graph [32], an algorithm pipeline to tackle the dynamic graph clustering problem, intensive experiments to measure performance of the new algorithms.…”
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Study on impacts of engineering strategies on pedestrian behaviour and perceptions at zebra crossings by Ng, Wan Ying

“…One recommendation includes painting an extra “LOOK” sign at the median to remind pedestrians to look out for vehicles at the other lane while crossing the road to ensure the safety of pedestrians. 46% of the participants stated that having a “LOOK” sign at the median of the crossing will remind them to look out for vehicles and improve the safety of pedestrians at zebra crossings. …”
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Role of primary and secondary care data in atrial fibrillation ascertainment: impact on risk factor associations, patient management, and mortality in UK Biobank by Camm, CF, Von Ende, A, Gajendragadkar, PR, Pessoa-Amorim, G, Mafham, M, Allen, N, Parish, S, Casadei, B, Hopewell, JC

“…There was a median lag of 1.3 years between cases ascertained in PC and subsequently in HADP. …”

Inflammatory biomarkers and motoric cognitive risk syndrome: multicohort survey by Groeger, Justina L., Ayers, Emmeline, Barzilai, Nir, Beauchet, Olivier, Callisaya, Michele, Torossian, Maral R., Derby, Carol, Doi, Takehiko, Lipton, Richard B., Milman, Sofiya, Nakakubo, Sho, Shimada, Hiroyuki, Srikanth, Velandai, Wang, Cuiling, Verghese, Joe

“…In meta-analysis, highest tertiles of IL-6 (aOR 1.57, 95%CI 1.01- 2.44) and CRP (aOR 1.65, 95%CI 1.09–2.48) was associated with MCR versus lowest tertiles in the pooled sample. …”
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Learning to generalize to new tasks/domains with limited data by Peng, Danni

“…A recurrent neural network design is adopted for the meta-model generator to leverage its ability of capturing the sequential patterns. …”
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A study on business development strategies and tactics in the shipping industry to improve customer satisfaction (port sector) by Lau, Benedict Yew Fei

“…Moreover, emergence of mega-vessels has hastened the adoption of automation technology with the use of IoT and Big data analytics. …”
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Multi-tasking of fuzzy inference processor through real-time context switching by Cao, Qi, Song, Liqin, Shi, Xiaomeng, Li, Ju Hui

“…A reconfigurable fuzzy inference chip (RcFIP) with 17 mega fuzzy logic inference per second (FLIPS) capable of supporting real time context switching has been proposed in our earlier work. …”
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Ruthenium(ii) Polypyridyl complexes as FRET donors: structure- and sequence-selective DNA binding and anti-cancer properties by E. Elgar, Christopher, Yusoh, Nur Aininie, R. Tiley, Paul, Kolozsvári, Natália, G. Bennett, Laura, Gamble, Amelia, V. Péan, Emmanuel, L. Davies, Matthew, J. Staples, Christopher, Ahmad, Haslina, R. Gill, Martin

“…Here, we report that MLCT-emissive RPCs that bind DNA undergo Förster resonance energy transfer (FRET) with Cy5.5-labeled DNA, forming mega-Stokes shift FRET pairs. Based on this discovery, we developed a simple and rapid FRET binding assay to examine DNA-binding interactions of RPCs with diverse photophysical properties, including non-“light switch” complexes [Ru(dppz)2(5,5′dmb)]2+ and [Ru(PIP)2(5,5′dmb)]2+ (dppz = dipyridophenazine, 5,5′dmb = 5,5′-dimethyl-2,2′-bipyridine, PIP = 2-phenyl-imidazo[4,5-f][1,10]phenanthroline). …”

Algorithmic discrimination and ethical perspective of artificial intelligence / by Kılıç, Muharrem, editor, Kahyaoglu, Sezer Bozkus, editor, SpringerLink (Online service)

“…Comprising an array of insightful chapters, this book offers an in-depth exploration of artificial intelligence technologies, encompassing a broad spectrum of topics ranging from data protection to algorithmic discrimination, the deployment of artificial intelligence in criminal proceedings to combating hate speech, and from predictive policing to meta-surveillance. It aims to serve as a call to action, urging societies and policymakers to acknowledge the potential threats posed by AI and recognize the need for robust legislative frameworks and ethical principles to ensure that international standards on human rights are upheld in the face of technological advancements…”
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