bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early intermittent hyperlipidaemia alters tissue macrophages to fuel atherosclerosis
Authors: Takaoka Minoru , Zhao Xiaohui , Lim Hwee Ying , Magnussen Costan G. , Ang Owen , Suffee Nadine , Schrank Patricia R. , Ong Wei Siong , Tsiantoulas Dimitrios , Sommer Felix , Mohanta Sarajo K. , Harrison James , Meng Yaxing , Laurans Ludivine , Wu Feitong , Lu Yuning , Masters Leanne , Newland Stephen A. , Denti Laura , Hong Mingyang , Chajadine Mouna , Juonala Markus , Koskinen Juhani S. , Kähönen Mika , Pahkala Katja , Rovio Suvi P. , Mykkänen Juha , Thomson Russell , Kaisho Tsuneyasu , Habenicht Andreas J. R. , Clement Marc , Tedgui Alain , Ait-Oufella Hafid , Zhao Tian X. , Nus Meritxell , Ruhrberg Christiana , Taleb Soraya , Williams Jesse W. , Raitakari Olli T. , Angeli Véronique , Mallat Ziad 
Published: September 2024

AbstractHyperlipidaemia is a major risk factor of atherosclerotic cardiovascular disease (ASCVD). Risk of cardiovascular events depends on cumulative lifetime exposure to low-density lipoprotein cholesterol (LDL-C) and, independently, on the time course of exposure to LDL-C, with early exposure being associated with a higher risk1. Furthermore, LDL-C fluctuations are associated with ASCVD outcomes2–4. However, the precise mechanisms behind this increased ASCVD risk are not understood. Here we find that early intermittent feeding of mice on a high-cholesterol Western-type diet (WD) accelerates atherosclerosis compared with late continuous exposure to the WD, despite similar cumulative circulating LDL-C levels. We find that early intermittent hyperlipidaemia alters the number and homeostatic phenotype of resident-like arterial macrophages. Macrophage genes with altered expression are enriched for genes linked to human ASCVD in genome-wide association studies. We show that LYVE1+ resident macrophages are atheroprotective, and identify biological pathways related to actin filament organization, of which alteration accelerates atherosclerosis. Using the Young Finns Study, we show that exposure to cholesterol early in life is significantly associated with the incidence and size of carotid atherosclerotic plaques in mid-adulthood. In summary, our results identify early intermittent exposure to cholesterol as a strong determinant of accelerated atherosclerosis, highlighting the importance of optimal control of hyperlipidaemia early in life, and providing insights into the underlying biological mechanisms. This knowledge will be essential to designing effective therapeutic strategies to combat ASCVD.
Generation of a pancreas derived hydrogel for the culture of hiPSC derived pancreatic endocrine cells
Authors: Berger Constantin , Glaser Markus , Ziegler Anna-Lena , Neukel Valentina , Walz Fabiola , Zdzieblo Daniela 
Published: September 2024

AbstractStem cell-derived β-cells (SC-BCs) represent a potential source for curing diabetes. To date, in vitro generated SC-BCs display an immature phenotype and lack important features in comparison to their bona-fide counterparts. Transplantation into a living animal promotes SC-BCs maturation, indicating that components of the in vivo microenvironment trigger final SC-BCs development. Here, we investigated whether cues of the pancreas specific extracellular matrix (ECM) can improve the differentiation of human induced pluripotent stem cells (hiPSCs) towards β-cells in vitro. To this aim, a pancreas specific ECM (PanMa) hydrogel was generated from decellularized porcine pancreas and its effect on the differentiation of hiPSC-derived pancreatic hormone expressing cells (HECs) was tested. The hydrogel solidified upon neutralization at 37 °C with gelation kinetics similar to Matrigel. Cytocompatibility of the PanMa hydrogel was demonstrated for a culture duration of 21 days. Encapsulation and culture of HECs in the PanMa hydrogel over 7 days resulted in a stable gene and protein expression of most β-cell markers, but did not improve β-cell identity. In conclusion, the study describes the production of a PanMa hydrogel, which provides the basis for the development of ECM hydrogels that are more adapted to the demands of SC-BCs.
Investigating the relationship between stereotyping and creativity during marketing campaigns in marketeers and audiences
Authors: Tan Nuoya , Parashar Nimisha , Ahmetoglu Gorkan , Harris Lasana T. 
Published: September 2024

AbstractStereotyping others in a creative process may negatively affect creative output, yet there is currently scant empirical evidence of a link between stereotyping and creativity; here, we explore this link in marketing communications. In a quasi-experiment, we introduced a novel intervention to disrupt marketeers’ dependency on stereotypes and boost their creativity. The intervention decreased marketeers’ use of stereotypes when selecting consumer labels—descriptive labels of a typical consumer based on consumer information—while enhancing the creativity of ideas. In another set of online experiments, we asked British residents to rate the creativity of advertisements and purchase intentions toward advertising products with different levels of stereotypical depictions of people. We found a linear relationship between the stereotypical depictions of people in advertisements and perceived creativity. We also observed a potential U-shaped relationship between stereotypical representations of people in advertisements and purchase intention, such that advertisements with low and high stereotypical representations induced greater purchase intention than did those with medium stereotypical representations. Finally, we discuss the psychological mechanisms that potentially link stereotyping and creativity and the implications for marketing communications.
Preoperative prediction of CNS WHO grade and tumour aggressiveness in intracranial meningioma based on radiomics and structured semantics
Authors: Kalasauskas Darius , Kosterhon Michael , Kurz Elena , Schmidt Leon , Altmann Sebastian , Grauhan Nils F. , Sommer Clemens , Othman Ahmed , Brockmann Marc A. , Ringel Florian , Keric Naureen 
Published: September 2024

AbstractPreoperative identification of intracranial meningiomas with aggressive behaviour may help in choosing the optimal treatment strategy. Radiomics is emerging as a powerful diagnostic tool with potential applications in patient risk stratification. In this study, we aimed to compare the predictive value of conventional, semantic based and radiomic analyses to determine CNS WHO grade and early tumour relapse in intracranial meningiomas. We performed a single-centre retrospective analysis of intracranial meningiomas operated between 2007 and 2018. Recurrence within 5 years after Simpson Grade I-III resection was considered as early. Preoperative T1 CE MRI sequences were analysed conventionally by two radiologists. Additionally a semantic feature score based on systematic analysis of morphological characteristics was developed and a radiomic analysis were performed. For the radiomic model, tumour volume was extracted manually, 791 radiomic features were extracted. Eight feature selection algorithms and eight machine learning methods were used. Models were analysed using test and training datasets. In total, 226 patients were included. There were 21% CNS WHO grade 2 tumours, no CNS WHO grade 3 tumour, and 25 (11%) tumour recurrences were detected in total. In ROC analysis the best radiomic models demonstrated superior performance for determination of CNS WHO grade (AUC 0.930) and early recurrence (AUC 0.892) in comparison to the semantic feature score (AUC 0.74 and AUC 0.65) and conventional radiological analysis (AUC 0.65 and 0.54). The combination of human classifiers, semantic score and radiomic analysis did not markedly increase the model performance. Radiomic analysis is a promising tool for preoperative identification of aggressive and atypical intracranial meningiomas and could become a useful tool in the future.
Formaldehyde quantification using gas chromatography–mass spectrometry reveals high background environmental formaldehyde levels
Authors: Chothia Sara Y. , Emms Vicki L. , Thomas Liam A. , Bulman Natasha F. A. , Monks Paul S. , Cordell Rebecca L. , Hopkinson Richard J. 
Published: September 2024

AbstractFormaldehyde (HCHO) is a human toxin that is both a pollutant and endogenous metabolite. HCHO concentrations in human biological samples are reported in the micromolar range; however, accurate quantification is compromised by a paucity of sensitive analysis methods. To address this issue, we previously reported a novel SPME–GC–MS-based HCHO detection method using cysteamine as an HCHO scavenger. This method showed cysteamine to be a more efficient scavenger than the widely used O-(2,3,4,5,6-pentafluorobenzyl)hydroxylamine, and enabled detection of aqueous HCHO in the nanomolar range and quantification in the micromolar range. However, quantification in this range required immersive extraction of the HCHO-derived thiazolidine, while a high background signal was also observed. Following on from these studies, we now report an optimised head-space extraction SPME–GC–MS method using cysteamine, which provides similarly sensitive HCHO quantification to the immersive method but avoids extensive wash steps and is therefore more amenable to screening applications. However, high background HCHO levels were still observed A Complementary GC–MS analyses using a 2-aza-Cope-based HCHO scavenger also revealed high background HCHO levels; therefore, the combined results suggest that HCHO exists in high (i.e. micromolar) concentration in aqueous samples that precludes accurate quantification below the micromolar range. This observation has important implications for ongoing HCHO quantification studies in water, including in biological samples.
A protein risk score for all-cause and respiratory-specific mortality in non-Hispanic white and African American individuals who smoke
Authors: Moll Matthew , Pratte Katherine A. , Debban Catherine L. , Liu Congjian , Belinsky Steven A. , Picchi Maria , Konigsberg Iain , Tern Courtney , Rijhwani Heena , Hobbs Brian D. , Silverman Edwin K. , Tesfaigzi Yohannes , Rich Stephen S. , Manichaikul Ani , Rotter Jerome I. , Bowler Russel P. , Cho Michael H. 
Published: September 2024

AbstractProtein biomarkers are associated with mortality in cardiovascular disease, but their effect on predicting respiratory and all-cause mortality is not clear. We tested whether a protein risk score (protRS) can improve prediction of all-cause mortality over clinical risk factors in smokers. We utilized smoking-enriched (COPDGene, LSC, SPIROMICS) and general population-based (MESA) cohorts with SomaScan proteomic and mortality data. We split COPDGene into training and testing sets (50:50) and developed a protRS based on respiratory mortality effect size and parsimony. We tested multivariable associations of the protRS with all-cause, respiratory, and cardiovascular mortality, and performed meta-analysis, area-under-the-curve (AUC), and network analyses. We included 2232 participants. In COPDGene, a penalized regression-based protRS was most highly associated with respiratory mortality (OR 9.2) and parsimonious (15 proteins). This protRS was associated with all-cause mortality (random effects HR 1.79 [95% CI 1.31–2.43]). Adding the protRS to clinical covariates improved all-cause mortality prediction in COPDGene (AUC 0.87 vs 0.82) and SPIROMICS (0.74 vs 0.6), but not in LSC and MESA. Protein–protein interaction network analyses implicate cytokine signaling, innate immune responses, and extracellular matrix turnover. A blood-based protein risk score predicts all-cause and respiratory mortality, identifies potential drivers of mortality, and demonstrates heterogeneity in effects amongst cohorts.
The value of error-correcting responses for cognitive assessment in games
Authors: Markovitch Benny , Evans Nathan J. , Birk Max V. 
Published: September 2024

AbstractTraditional conflict-based cognitive assessment tools are highly behaviorally restrictive, which prevents them from capturing the dynamic nature of human cognition, such as the tendency to make error-correcting responses. The cognitive game Tunnel Runner measures interference control, response inhibition, and response-rule switching in a less restrictive manner than traditional cognitive assessment tools by giving players movement control after an initial response and encouraging error-correcting responses. Nevertheless, error-correcting responses remain unused due to a limited understanding of what they measure and how to use them. To facilitate the use of error-correcting responses to measure and understand human cognition, we developed theoretically-grounded measures of error-correcting responses in Tunnel Runner and assessed whether they reflected the same cognitive functions measured via initial responses. Furthermore, we evaluated the measurement potential of error-correcting responses. We found that initial and error-correcting responses similarly reflected players’ response inhibition and interference control, but not their response-rule switching. Furthermore, combining the two response types increased the reliability of interference control and response inhibition measurements. Lastly, error-correcting responses showed the potential to measure response inhibition on their own. Our results pave the way toward understanding and using post-decision change of mind data for cognitive measurement and other research and application contexts.
Elastin-like polypeptide coacervates as reversibly triggerable compartments for synthetic cells
Authors: Chen Chang , Ganar Ketan A. , de Haas Robbert J. , Jarnot Nele , Hogeveen Erwin , de Vries Renko , Deshpande Siddharth 
Published: September 2024

AbstractCompartmentalization is a vital aspect of living cells to orchestrate intracellular processes. In a similar vein, constructing dynamic and responsive sub-compartments is key to synthetic cell engineering. In recent years, liquid-liquid phase separation via coacervation has offered an innovative avenue for creating membraneless organelles (MOs) within artificial cells. Here, we present a lab-on-a-chip system to reversibly trigger peptide-based coacervates within cell-mimicking confinements. We use double emulsion droplets (DEs) as our synthetic cell containers while pH-responsive elastin-like polypeptides (ELPs) act as the coacervate system. We first present a high-throughput microfluidic DE production enabling efficient encapsulation of the ELPs. The DEs are then harvested to perform multiple MO formation-dissolution cycles using pH as well as temperature variation. For controlled long-term visualization and modulation of the external environment, we developed an integrated microfluidic device for trapping and environmental stimulation of DEs, with negligible mechanical force, and demonstrated a proof-of-principle osmolyte-based triggering to induce multiple MO formation-dissolution cycles. In conclusion, our work showcases the use of DEs and ELPs in designing membraneless reversible compartmentalization within synthetic cells via physicochemical triggers. Additionally, presented on-chip platform can be applied over a wide range of phase separation and vesicle systems for applications in synthetic cells and beyond.
Highly sensitive biosensors for real-time monitoring of histamine at acupoint PC6 in rats based on graphene-modified acupuncture needles
Authors: Li Pengwei , Yu Aotian , Han Lei , Zhao Bo , Wang Qi , Fu Qixuan , Ning Simin , Yang Guangyi , Zhang Rong , Yang Liusi , Cao Anyuan , Liu Cunzhi , Xu Wenjing 
Published: September 2024

Real-time monitoring of histamine at acupoints with high sensitivity and without additional damages has been achieved, based on the graphene-modified acupuncture needles.
Interaction with IP6K1 supports pyrophosphorylation of substrate proteins by the inositol pyrophosphate 5-InsP7
Authors: Hamid Aisha , Ladke Jayashree S. , Shah Akruti , Ganguli Shubhra , Pal Monisita , Singh Arpita , Bhandari Rashna 
Published: September 2024

Abstract
Inositol pyrophosphates (PP-InsPs) are a sub-family of water soluble inositol phosphates that possess one or more diphosphate groups. PP-InsPs can transfer their β-phosphate group to a phosphorylated Ser residue to generate pyrophosphorylated Ser. This unique post-translational modification occurs on Ser residues that lie in acidic stretches within an intrinsically disordered protein sequence. Serine pyrophosphorylation is dependent on the presence of Mg2+ ions, but does not require an enzyme for catalysis. The mechanisms by which cells regulate PP-InsP-mediated pyrophosphorylation are still unknown. We performed mass spectrometry to identify interactors of IP6K1, an enzyme responsible for the synthesis of the PP-InsP 5-InsP7. Interestingly, IP6K1 interacted with several proteins that are known to undergo 5-InsP7-mediated pyrophosphorylation, including the nucleolar proteins NOLC1, TCOF and UBF1, and AP3B1, the β subunit of the AP3 adaptor protein complex. The IP6K1 interactome also included CK2, a protein kinase that phosphorylates Ser residues prior to pyrophosphorylation. We observe the formation of a protein complex between IP6K1, AP3B1, and the catalytic α-subunit of CK2, and show that disrupting IP6K1 binding to AP3B1 lowers its in vivo pyrophosphorylation. We propose that assembly of a substrate-CK2-IP6K complex would allow for coordinated pre-phosphorylation and pyrophosphorylation of the target serine residue, and provide a mechanism to regulate this enzyme-independent modification.
Empirical modelling and analysis of phase noise in OFDM systems
Authors: Duan Qihong , Du Heng , Xue Jiang , Li Feng 
Published: September 2024

AbstractBased on empirical data of an orthogonal frequency division multiplexing system in realistic environments of next‐generation cellular networks, a new analytical model of phase noise and numerical characteristics of the common phase error and intercarrier interference are derived. Applying an asymptotic theory of probability, analytical expressions are present to approximate the mean vector and the covariance matrix of the intercarrier interference. The approximation expression of the covariance matrix is accurate enough and only has three parameters. When applied to estimate original symbols based on additive white Gaussian noise channel, a Gibbs sampler performs better than the current estimation algorithm following Weiner process phase noise.
Geometry‐preserved image editing
Authors: Kwon Taeeun , Kwon Junseok 
Published: September 2024

AbstractAs generative models become more advanced and essential, interest in using these models for image editing is growing. Nevertheless, conventional image editing methods still have many problems and can alter the intrinsic properties (e.g. geometry) of an object during the editing process. In this article, a novel geometry‐preserved image editing method is presented, where key points, keyframe, or canny edges are utilized as inputs for geometric constraints. A text prompt is fed into the inversion pipeline along with the input image and key points/keyframes/canny for editing. Then, new images are generated based on the editing pipeline of the denoising diffusion implicit model. Experiments demonstrate that the method outperforms its baselines.
Routes to industrial scalability to maximise investment in engineering biology in the UK—A bioplastics small and medium‐sized enterprise perspective
Authors: Switzer Amy , Šusta Laima , Mines Paul 
Published: September 2024

AbstractFocus on engineering biology is at the forefront of the UK government's objectives, being one of their five critical technologies (the others being quantum technologies, artifical intelligence, semiconductors, and future telecommunications), with a recent announcement of £2 billion to be invested into the field over the next 10 years. With such attention being given to engineering biology within the UK, it is critical to envisage realistic downstream channels (i.e. scale up and route to market) for this investment in order to maximise successful outcomes. This article aims to identify, from the perspective of a UK Bioplastics small and medium‐sized enterprise, areas within the scope of engineering biology that should be focused on to maximise potential for success.
Approximate power flow solutions‐based forecasting‐aided state estimation for power distribution networks
Authors: Wang Zhenyu , Xu Zhao , Qi Donglian , Yan Yunfeng , Zhang Jianliang 
Published: September 2024

AbstractThis paper presents an approximate power flow model‐based forecasting‐aided state estimation estimator for power distribution networks subject to naive forecasting methods and nonlinear filtering processes. To this end, this estimator designs a voltage perturbation vector around the priori‐determined nominal value as the dynamic state variable, which enables more detailed depictions of voltage changes. Then, a state transition model incorporating nodal power variation is derived from the approximate power injection model. The constant state transition matrix working on power variations only consists of nodal impedance, which reduces the extensive parameter tuning effort when facing different estimation tasks. Furthermore, an approximate branch power flow observation equation is proposed to improve the filtering efficiency. The observation matrix with branch admittance information presents the linear filtering relationship between power flow measurements and forecasted states, omitting the complex iterative updates of the Jacobian matrix for nonlinear measurements. Finally, the overall estimated voltage state at each time sample is entirely obtained by combining the filtered voltage perturbation vector with the priori‐determined nominal value. Numerical simulation comparisons on a symmetric balanced 56‐node distribution system verify the performance of the proposed estimator in terms of accuracy and robustness under normal and abnormal conditions.
APOTSA: Anchor placement optimisation using discrete Tabu search algorithm for area‐based localisation
Authors: Nabavi Sayyidshahab , Schauer Joachim , Boano Carlo Alberto , Römer Kay 
Published: September 2024

AbstractRecently, there has been an increasing interest in indoor localisation due to the demand for location‐based services. Diverse techniques have been described in the literature to improve indoor localisation services, but their accuracy is significantly affected by the number and location of the anchors, which act as a reference point for localising tags in a given space. The authors focus on indoor area‐based localisation. A set of anchors defines certain geographical areas, called residence areas, and the location of a tag is approximated by the residence area in which the tag is placed. Hence the position is not given by exact coordinates. In this approach, placing the anchors such that the resulting residence areas are small on average yields a high‐quality localisation accuracy. The authors’ main contribution is the introduction of a discretisation method to calculate the residence areas for a given anchor placement more efficiently. This method reduces the runtime compared to the algorithms from the literature dramatically and hence allows us to search the solution space more efficiently. The authors propose APOTSA, a novel approach for discovering a high‐quality placement of anchors to improve the accuracy of area‐based indoor localisation systems while requiring a shorter execution time than existing approaches. The proposed algorithm is based on Tabu search and optimises the localisation accuracy by minimising the expected residence area. APOTSA's localisation accuracy and time of execution are evaluated by different indoor‐localisation scenarios involving up to five anchors. The results indicate that the expected residence area and the time of execution can be reduced by up to 9.5% and 99% compared to the state‐of‐the‐art local search anchors placement (LSAP) algorithm, respectively.