Agarwood oil grade clustering of aquilaria malaccensis species using Extraction by GC-MS analysis: Efficient KNN algorithm based on patterns visualization of two-dimensional graph by Siti Mariatul Hazwa, Mohd Huzir, Anis Hazirah ‘Izzati H., Al-Hadi, Amir Hussairi, Zaidi, Nurlaila F., Ismail, Zakiah, Mohd Yusoff, Saiful Nizam, Tajuddin, Mohd Nasir, Taib

“…The agarwood oil sample data were categorized into low, medium-low, medium-high and high grades. The findings show that KNN yielded 100% accuracy. Then, 2D graph was applied to plot the sample visualization pattern parallel with KNN accuracy. …”
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Integrated Assessment of Diclofenac Biotransformation, Pharmacokinetics, and Omics-Based Toxicity in a Three-Dimensional Human Liver-Immunocompetent Coculture System by Large, Emma, Hughes, David J., Sarkar, Ujjal, Ravindra, Kodihalli C., Young, Carissa L., Rivera-Burgos, Dinelia, Yu, Jiajie, Cirit, Murat, Wishnok, John S, Lauffenburger, Douglas A, Griffith, Linda G, Tannenbaum, Steven R

“…Kupffer cell–mediated cytokine release recapitulated an in vivo proinflammatory response exemplified by a cohort of 11 cytokines that were differentially regulated after lipopolysaccharide induction, including interleukin (IL)-1β, IL-1Ra, IL-6, IL-8, IP-10, tumor necrosis factor-α, RANTES (regulated on activation normal T cell expressed and secreted), granulocyte colony-stimulating factor, macrophage colony-stimulating factor, macrophage inflammatory protein-1β, and IL-5. In summary, our findings indicate that three-dimensional liver microphysiological systems may serve as preclinical investigational platforms from the perspective of the discovery of a set of clinically relevant biomarkers including potential reactive metabolites, endogenous bile acids, excreted proteins, and cytokines to predict early drug-induced liver toxicity in humans.…”
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Food environments and obesity: a geospatial analysis of the South Asia Biobank, income and sex inequalities by Atanasova, Petya, Kusuma, Dian, Pineda, Elisa, Anjana, Ranjit Mohan, De Silva, Laksara, Hanif, Abu A. M., Hasan, Mehedi, Hossain, Md Mokbul, Indrawansa, Susantha, Jayamanne, Deepal, Jha, Sujeet, Kasturiratne, Anuradhani, Katulanda, Prasad, Khawaja, Khadija I., Kumarendran, Balachandran, Mrida, Malay K., Rajakaruna, Vindya, Chambers, John Campbell, Frost, Gary, Sassi, Franco, Miraldo, Marisa

“…Multivariate regression models were used to assess association of exposure to healthy and unhealthy food environments on waist circumference, BMI, and probability of obesity for the total sample and stratified by sex and income. Findings: The presence of a higher share of supermarkets in the neighbourhood was associated with a reduction in body size (BMI, β = - 3∙23; p < 0∙0001, and waist circumference, β = −5∙99; p = 0∙0212) and obesity (Average Marginal Effect (AME): −0∙18; p = 0∙0009). …”
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Growth hormone increases BDNF and mTOR expression in specific brain regions after photothrombotic stroke in mice by Sanchez-Bezanilla, Sonia, Beard, Daniel J., Hood, Rebecca J., Åberg, N. David, Crock, Patricia, Walker, Frederick R., Nilsson, Michael, Isgaard, Jörgen, Ong, Lin Kooi

“…Upregulation of total-mTOR protein expression in the peri-infarct and thalamus suggests that this might be a pathway that is involved in the neurorestorative effects previously reported in these animals and warrants further investigation. These findings suggest region-specific mechanisms of action of GH treatment and provide further understanding for how GH treatment promotes neurorestorative effects after stroke.…”
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Proteomic network of antibiotic-induced outer membrane vesicles released by extensively drug-resistant Elizabethkingia anophelis by Chiang, Ming-Hsien, Chang, Fang-Ju, Kesavan, Dinesh Kumar, Vasudevan, Aparna, Xu, Huaxi, Lan, Kuo-Lun, Huang, Shu-Wei, Shang, Hung-Sheng, Chuang, Yi-Ping, Yang, Ya-Sung, Chen, Te-Li

“…Furthermore, this is the first study to discuss the protein-protein interaction network of the OMVs released by E. anophelis, especially under antibiotic stress. Our findings provide important insights into clinical antibiotic stewardship.…”
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Chronic oxidative stress promotes GADD34-mediated phosphorylation of the TAR DNA-binding protein TDP-43, a modification linked to neurodegeneration by Goh, Catherine Wenhui, Lee, Irene Chengjie, Sundaram, Jeyapriya Rajameenakshi, George, Simi Elizabeth, Yusoff, Permeen, Brush, Matthew Hayden, Sze, Newman Siu Kwan, Shenolikar, Shirish

“…Concomitant with TDP-43 aggregation and proteolysis after prolonged arsenite exposure, GADD34-bound CK1ϵ catalyzed TDP-43 phosphorylations at serines 409/410, which were diminished or absent in GADD34−/− cells. Our findings highlight that the phosphatase regulator, GADD34, also functions as a kinase scaffold in response to chronic oxidative stress and recruits CK1ϵ and oxidized TDP-43 to facilitate its phosphorylation, as seen in TDP-43 proteinopathies.…”
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The capabilities of Multiclass Support Vector Machine (MSVM) training algorithms in grading agarwood essential oil by Anis Hazirah ‘Izzati H., Al-Hadi, Siti Mariatul Hazwa, Mohd Huzir, Nurlaila, Ismail, Zakiah, Mohd Yusoff, Saiful Nizam, Tajuddin, Mohd Nasir, Taib

“…The agarwood essential was graded into five grades (low, medium low, upper low, medium high, and high) and six grades (low, medium low, upper low, medium high, high, and upper high). The findings of this paper show the confusion matrix for five grades and six grades have no mismatch between actual and predicted data. …”
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Experimental and Computational Advancements in Peptidomimetic Ligand Discovery by Lee, Michael Alan

“…At the same time, discovery tools for finding peptides that modify PPIs have evolved, including advances in affinity selection techniques and combinatorial chemistry. …”
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Revealing Structural and Spin-state Dependent Reactivity of Single Atom Catalysts (SACs) with Systematically Improvable Computational Tools by Jia, Haojun (贾皓钧)

“…The ML models demonstrate superior accuracy in predicting reaction energetics compared to traditional scaling relationships. The findings validate codoping as a powerful strategy for tuning the properties of SACs to achieve enhanced ORR performance. …”
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Towards Synergistic Understanding of Language Processing in Biological and Artificial Systems by Hosseini Asl, Eghbal

“…I show that brain responses to stimuli (sentences) that are represented similarly across multiple successful ANNs are easier to predict from model representations; in contrast, brain responses to sentences that are represented differently across models are challenging to predict, despite high consistency among human participants. Extending these findings to the domain of vision, I suggest that the principle of representation universality may underlie information processing across various domains. …”
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Shifting Paradigms: Data-Centric Approach for Marine Statics Correction using Symmetric Autoencoding by Kanniah, Brindha

“…This notable precision improvement using SymAE highlights how a streamlined data-centric paradigm outperforms the traditional model-centric paradigm of marine statics correction. This finding is pivotal as it is the foundation that lays the groundwork and opens the path towards the real-world deployment of SymAE for statics correction in challenging deepwater environments.…”
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Design, fabrication and characterization of organic-inorganic hybrid solar cells by Ahmed Ali Said Ahmed

“…Moreover, the literature review provides the information about different types of lead-free solar cells and their advantages and their drawbacks. The achieved findings in this thesis include the following: (1) Six NDI-based molecules have been designed and synthesized as electron transporting layers in inverted perovskite solar cells; (2) Two pyrene-based molecules were designed and synthesized as electron transporting layers; (3) The effect of sulfur position in pyrene-based molecules was investigated (4) Three N-type conjugated polymers were explored as electron transporting layer (5) The effect of embedded sp2-nitrogen in donor and acceptors of conjugated polymer was explored and (6) Tellurium tetraiodide was explored as a promising light absorber in solar cells. …”
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Creative ageing in Singapore : a population study on participatory arts engagement and wellbeing among adults aged 50 and above by Ma, Stephanie Hilary Xinyi

“…Respondents expressed that their greatest interest lies within the genre of culture and heritage arts, with a strong preference to engage in arts activities within the community, and to attend such activities with their family or friends. Findings from propensity score matching with t-test analyses revealed that respondents who passively engaged in the arts experienced better quality of life t(728) = 3.35, p = .0008, d = .25, self-perceived health t(728) = 2.21, p = .028, d = 0.16, and sense of belonging t(728) = 2.17, p = .028, d = 0.16, as compared to those who did not. …”
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Scaffold-mediated sustained, non-viral delivery of miR-219/miR-338 promotes CNS remyelination by Milbreta, Ulla, Lin, Junquan, Pinese, Coline, Ong, William, Chin, Jiah Shin, Shirahama, Hitomi, Mi, Ruifa, Williams, Anna, Bechler, Marie E., Wang, Jun, ffrench-Constant, Charles, Hoke, Ahmet, Chew, Sing Yian

“…Similarly within the scaffolds, miR-219/miR-338 samples contained significantly more myelin basic protein (MBP) signals (p < 0.01) and higher myelination index (p < 0.05) than Neg miR samples. These findings highlight the potential of this platform to promote remyelination within the CNS.…”
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TEOSINTE BRANCHED1/CYCLOIDEA/PROLIFERATING CELL FACTOR4 Interacts with WRINKLED1 to mediate seed oil biosynthesis by Kong, Que, Singh, Sanjay K., Mantyla, Jenny J., Pattanaik, Sitakanta, Guo, Liang, Yuan, Ling, Benning, Christoph, Ma, Wei

“…In addition, TCP4 repressed the AtWRI1-mediated transactivation of the promoters of fatty acid biosynthetic genes. Collectively, our findings suggest that TCP4 represses fatty acid biosynthetic gene expression through interaction with AtWRI1, leading to a reduction of AtWRI1-mediated seed oil accumulation.…”
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Multi-path region mining for weakly supervised 3D semantic segmentation on point clouds by Wei, Jiacheng, Lin, Guosheng, Yap, Kim-Hui, Hung, Tzu-Yi, Xie, Lihua

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Three essays on behavioral and experimental economics by Li, Yupeng

“…We explain this difference on the basis of the Singaporean senders’ beliefs about trustworthiness: they believed that people with a Mainland Chinese accent would return more money to them than their in-group Singaporean counterparts. To bolster our findings, we confirmed in a separate experiment that the difference in response to the accents was not due to the speed of speech or vocal pitch. …”
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Cytomegalovirus infection is associated with an increase in aortic stiffness in older men which may be mediated in part by CD4 memory T-cells by Kirkham, Frances, Pera, Alejandra, Simanek, Amanda M., Bano, Aalia, Morrow, George, Reus, Bernhard, Caserta, Stefano, Smith, Helen Elizabeth, Davies, Kevin A., Rajkumar, Chakravarthi, Kern, Florian

“…Given the high prevalence of CMV worldwide, our findings point to a significant global health issue. …”
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A materials science framework for connecting protein stability with surface adsorption and coating applications by Ma, Gamaliel Junren

“…Finally, the experimentally observed differences in conformational properties and adsorption behavior of certain types of BSA proteins were correlated with their surface passivation performance. In summary, the findings in this thesis presented how materials science concepts can be used to rationalize the relationship between protein conformational stability and adsorption behavior and offer a broadly applicable approach to engineer protein coatings for various useful applications.…”
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Prediction of stable perovskite quantum dots (QDs) using machine learning (ML) algorithms by Cheong, Ivan

“…Falling back to literature of known understanding of the photoluminescence property, suggested that the nanocrystal’s surface ligands interface has a substantial impact on optical properties. Hence finding a method to incorporate the string data type of synthesis methods and passivation agents to machine learning models who typically prefer numerical data types could improve the prediction abilities.…”
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