PPARβ/δ prevents endoplasmic reticulum stress-associated inflammation and insulin resistance in skeletal muscle cells through an AMPK-dependent mechanism by Salvadó, Laia, Barroso, Emma, Gómez-Foix, Anna Maria, Palomer, Xavier, Michalik, Liliane, Wahli, Walter, Vázquez-Carrera, Manuel

“…Methods Studies were conducted in mouse C2C12 myotubes, in the human myogenic cell line LHCN-M2 and in skeletal muscle from wild-type and PPARβ/δ-deficient mice and mice exposed to a high-fat diet. …”
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PPARβ/δ agonism upregulates forkhead box A2 to reduce inflammation in C2C12 myoblasts and in skeletal muscle by Phua, Wendy Wen Ting, Tan, Wei Ren, Yip, Yun Sheng, Hew, Ivan Dongzheng, Wee, Jonathan Wei Kiat, Cheng, Hong Sheng, Leow, Melvin Khee Shing, Wahli, Walter, Tan, Nguan Soon

“…This reduced local inflammatory response limits tissue damage and restores muscle tetanic contraction. In line with these results, a deficiency in either PPARβ/δ or FoxA2 diminishes the action of the PPARβ/δ agonist GW501516 to suppress an aggravated inflammatory response. …”
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Structural integrity assessment of rail steel failure modes and mechanism by Liu, Yang

“…Transverse weld-toe surface cracks at the fusion line of the welded joint are found to be caused by the high density of weld defects and the mismatch of strength and fatigue properties between the thermite weld metal and unaffected rail steel. …”
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Towards in-situ texture analysis during LPBF: optical microscopy and texture control by Wang, Xiaogang

“…Finally, I present my attempts atix enabling optical microstructural analysis, in-line, during L-PBF processes (Chapter 4). To this end, I integrated special surface processing techniques as well as the optical characterization methods described in the previous chapters inside a custom-made L-PBF system. …”
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Viral proteases activate the CARD8 inflammasome in the human cardiovascular system by Nadkarni, Rhea, Chu, Wern Cui, Lee, Cheryl Q. E., Mohamud, Yasir, Yap, Lynn, Toh, Gee Ann, Beh, Sheryl, Lim, Radiance, Fan, Michelle Yiyun, Zhang, Lyanne Yizhuo, Robinson, Kim, Tryggvason, Karl, Luo, Honglin, Zhong, Franklin, Ho, Lena

“…The endothelium is the first line of defense against blood-borne pathogens, but it is unclear which NLRs control endothelial cell (EC) intrinsic immunity. …”
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Data-driven approach to spatiotemporal dynamic risk assessment of urban flooding based on shared socio-economic pathways by Wang, Mo, Chen, Furong, Zhang, Dongqing, Chen, Zijing, Su, Jin, Zhou, Shiqi, Li, Jianjun, Chen, Jintang, Li, Jiaying, Tan, Soon Keat

“…Under SSP126 scenario, nearly no change was predicted in the area with high flooding risk, with only increase of 1%, future urbanization hotspots associated with serious flooding risks will likely to be found on the fringe of the GBA's construction areas, in line with the extent of construction land expansion. …”
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What do you want to make? What to make of public library makerspaces: a look into the power of makerspaces in Singapore public libraries by Tan, Yi Lin

“…Ten years on, the desire by libraries to offer makerspaces shows no sign of letting up. In Singapore, in line with the Library and Archives Blueprint 2025 (LAB25), the National Library Board (NLB) opened their fourth MakeIT at Libraries at Punggol Regional Library in January 2023. …”
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Online learning with kernels by Fan, Haijin

“…Kernel methods have been widely applied in batch learning or off-line learning contexts for various applications. …”
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The role of ports in supply chain disruption management by Loh, Hui Shan

“…The management model is operationalized in three tiers, from the top management level to the front-line employees, with characteristics from risk management, business continuity management and quality management theories. …”
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Empowerment through suicide in “The little mermaid” and “Giselle ou les wilis” by Wong, Angelene Suet Fong

“…The protagonists, namely, the little mermaid in Andersen’s text and Giselle in Gautier’s text, are presented in line with the “conventional romance formula of female sacrifice,” leaving much room to expand on their suicides as more than self-sacrifice, but as empowerment (de Armas Wilson 111). …”
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A Slip Gap of the 2016 Mw 6.6 Muji, Xinjiang, China, Earthquake Inferred from Sentinel‐1 TOPS Interferometry by Feng, Wanpeng, Tian, Yunfeng, Zhang, Yong, Samsonov, Sergey, Almeida, Rafael, Liu, Peng

“…Two tracks (T27 and T107) of the TOPS data captured the coseismic deformation area with a maximum line‐of‐sight deformation of ∼0.25  m in the descending track (T107). …”
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Piscidin-1-analogs with double L- and D-lysine residues exhibited different conformations in lipopolysaccharide but comparable anti-endotoxin activities by Kumar, Amit, Mahajan, Mukesh, Awasthi, Bhanupriya, Tandon, Anshika, Harioudh, Munesh Kumar, Shree, Sonal, Singh, Pratiksha, Shukla, Praveen Kumar, Ramachandran, Ravishankar, Mitra, Kalyan, Bhattacharjya, Surajit, Ghosh, Jimut Kanti

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Binding of TCR multimers and a TCR-like antibody with distinct fine-specificities is dependent on the surface density of HLA complexes by Low, Jianrong L., Gehring, Adam J., Kranz, David M., Grotenbreg, Gijsbert M., Yau, Yin Hoe, Shochat, Susana Geifman, Bertoletti, Antonio, Naidoo, Anneta, Yeo, Gladys, Ho, Zi Zong

“…Various protein scaffolds have been designed to recapitulate the specific recognition of presented antigens with the aim to be exploited both diagnostically (e.g. to visualize cells exposed to infectious agents or cellular transformation) and therapeutically (e.g. for the delivery of drugs to compromised cells). In line with this, we report the construction of a soluble tetrameric form of an αβ T cell receptor (TCR) specific for the HBV epitope Env183–191 restricted by HLA-A*02:01, and compare its avidity and fine-specificity with a TCR-like monoclonal antibody generated against the same HLA target. …”
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Modelling of traffic control delays at priority junctions using artificial neural network by Mohammad Ali Sahraei

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Investigating the genetics and immunopathogenesis of ankylosing spondylitis by Liu, F

“…This subset of monocytes exhibited a gene expression profile highly similar to a major population of CD14+ myeloid cells identified in AS synovial fluid (SF), strongly suggesting that T cell-induced myeloid cell activation occurs in vivo in inflamed joints. In line with this, PD1+IFN-γ+ T-cells were enriched in AS SF compared to blood. …”

Fabrication and biocompatibility evaluation of hydroxyapatite–polycaprolactone–gelatin composite nanofibers as a bone scaffold by Aminatun, None, Sujak M. K, Aisyah, Izak R, Djony, Hadi, Sofijan, Sari, Yessie Widia, Gunawarman, None, Cahyati, Nilam, Yusuf, Yusril, Che Abdullah, Che Azurahanim

“…The primary goals of this study are as follows: first, to evaluate hydroxyapatite (HA)/polycaprolactone (PCL)/gelatin nanofiber scaffolds based on functional groups, fibre diameter, porosity, and degradation rate; second, to investigate the interaction between HA/PCL/gelatin scaffolds and osteoblast cells (specifically, the ATCC 7F2 cell line) using in vitro assays, including cell viability and adhesion levels. …”
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Embracing the PhD journey: From odyssey to jewels by Zuraina, Ali

“…Having worked for almost a year in the capital city of Malaysia; clocking in when the sun is rising and clocking out when the moon is ticking, I realised that I do not want to work in that condition for a long time. It seemed that my day was only for working and I went home just for sleeping. …”
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Trajectory Prediction with Linguistic Representations by Kuo, Yen-Ling, Huang, Xin, Barbu, Andrei, McGill, Stephen G., Katz, Boris, Leonard, John J., Rosman, Guy

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AI-based forecasting for optimised solar energy management and smart grid efficiency by Bouquet, Pierre, Jackson, Ilya, Nick, Mostafa, Kaboli, Amin

“…The study deploys a Deep Learning model based on Long Short-Term Memory techniques, leading to refined accuracy in solar electricity generation forecasts. …”
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Nonlinear wave evolution with data-driven breaking by Eeltink, D., Branger, H., Luneau, C., He, Y., Chabchoub, A., Kasparian, J., van den Bremer, T. S., Sapsis, T. P.

“…We use wave tank measurements rather than simulations to provide training data and use a long short-term memory neural network to apply a finite-domain correction to the evolution model. …”
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