bluuebunny/crossref_metadata_2025_split huggingface dataset:
MoS2 decorated carbon fiber yarn hybrids for the development of freestanding flexible supercapacitors
Authors: Carvalho José Tiago , Correia Afonso , Cordeiro Neusmar J. A. , Coelho João , Lourenço Sidney A. , Fortunato Elvira , Martins Rodrigo , Pereira Luís 
Published: March 2024

AbstractAcademic and industrial efforts have focused on developing energy storage devices for wearable and portable electronics using low-cost, scalable, and sustainable materials and approaches. In this work, commercially available stretch-broken carbon fiber yarns (SBCFYs) were hybridized with mixed phases of 1 T and 2H MoS2 nanosheets via conventional and microwave-assisted heating (CAH, MAH) without the use of binders to fabricate symmetric freestanding 1D fiber-shaped supercapacitors (FSCs). Electrochemical characterization performed in a three-electrode configuration showed promising results with specific capacitance values of 184.41 and 180.02 F·g−1, at 1 mV·s−1 for CAH and MAH, respectively. Furthermore, after performing 3000 CV cycles at 100 mV·s−1, the capacitance retention was 79.5% and 95.7%, respectively. Using these results as a reference, symmetric 1D FSCs were fabricated by pairing hybridized SBCFYs with MoS2 by MAH. The devices exhibited specific capacitances of approximately 58.60 ± 3.06 F·g−1 at 1 mV·s−1 and 54.81 ± 7.34 F·g−1 at 0.2 A·g−1 with the highest power density achieved being 15.17 W·g−1 and energy density of 5.06×10–4 Wh·g−1. In addition, five 1D FSCs were hand-stitched and connected in series onto a cotton fabric. These supercapacitors could power a temperature and humidity sensor for up to six minutes, demonstrating the practicality and versatility of the prepared 1D FSCs for powering future electronic systems.
Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance
Authors: Duckworth Christopher , Cliffe Bethany , Pickering Brian , Ainsworth Ben , Blythin Alison , Kirk Adam , Wilkinson Thomas M. A. , Boniface Michael J. 
Published: March 2024

AbstractMobile Health (mHealth) has the potential to be transformative in the management of chronic conditions. Machine learning can leverage self-reported data collected with apps to predict periods of increased health risk, alert users, and signpost interventions. Despite this, mHealth must balance the treatment burden of frequent self-reporting and predictive performance and safety. Here we report how user engagement with a widely used and clinically validated mHealth app, myCOPD (designed for the self-management of Chronic Obstructive Pulmonary Disease), directly impacts the performance of a machine learning model predicting an acute worsening of condition (i.e., exacerbations). We classify how users typically engage with myCOPD, finding that 60.3% of users engage frequently, however, less frequent users can show transitional engagement (18.4%), becoming more engaged immediately ( < 21 days) before exacerbating. Machine learning performed better for users who engaged the most, however, this performance decrease can be mostly offset for less frequent users who engage more near exacerbation. We conduct interviews and focus groups with myCOPD users, highlighting digital diaries and disease acuity as key factors for engagement. Users of mHealth can feel overburdened when self-reporting data necessary for predictive modelling and confidence of recognising exacerbations is a significant barrier to accurate self-reported data. We demonstrate that users of mHealth should be encouraged to engage when they notice changes to their condition (rather than clinically defined symptoms) to achieve data that is still predictive for machine learning, while reducing the likelihood of disengagement through desensitisation.
Performance polyamides built on a sustainable carbohydrate core
Authors: Manker Lorenz P. , Hedou Maxime A. , Broggi Clement , Jones Marie J. , Kortsen Kristoffer , Puvanenthiran Kalaiyarasi , Kupper Yildiz , Frauenrath Holger , Marechal François , Michaud Veronique , Marti Roger , Shaver Michael P. , Luterbacher Jeremy S. 
Published: March 2024

AbstractSustainably producing plastics with performance properties across a variety of materials chemistries is a major challenge—especially considering that most performance materials use aromatic precursors that are still difficult to source sustainably. Here we demonstrate catalyst-free, melt polymerization of dimethyl glyoxylate xylose, a stabilized carbohydrate that can be synthesized from agricultural waste with 97% atom efficiency, into amorphous polyamides with performances comparable to fossil-based semi-aromatic alternatives. Despite the presence of a carbohydrate core, these materials retain their thermomechanical properties through multiple rounds of high-shear mechanical recycling and could be chemically recycled. Techno-economic and life-cycle analyses suggest selling prices close to those of nylon 66 with a reduction of global warming potential of up to 75%. This work illustrates the versatility of a carbohydrate moiety to impart performance that can compete with that of semi-aromatic polymers across two important materials chemistries.
Endothelial SMAD1/5 signaling couples angiogenesis to osteogenesis in juvenile bone
Authors: Lang Annemarie , Benn Andreas , Collins Joseph M. , Wolter Angelique , Balcaen Tim , Kerckhofs Greet , Zwijsen An , Boerckel Joel D. 
Published: March 2024

AbstractSkeletal development depends on coordinated angiogenesis and osteogenesis. Bone morphogenetic proteins direct bone formation in part by activating SMAD1/5 signaling in osteoblasts. However, the role of SMAD1/5 in skeletal endothelium is unknown. Here, we found that endothelial cell-conditional SMAD1/5 depletion in juvenile mice caused metaphyseal and diaphyseal hypervascularity, resulting in altered trabecular and cortical bone formation. SMAD1/5 depletion induced excessive sprouting and disrupting the morphology of the metaphyseal vessels, with impaired anastomotic loop formation at the chondro-osseous junction. Endothelial SMAD1/5 depletion impaired growth plate resorption and, upon long-term depletion, abrogated osteoprogenitor recruitment to the primary spongiosa. Finally, in the diaphysis, endothelial SMAD1/5 activity was necessary to maintain the sinusoidal phenotype, with SMAD1/5 depletion inducing formation of large vascular loops and elevated vascular permeability. Together, endothelial SMAD1/5 activity sustains skeletal vascular morphogenesis and function and coordinates growth plate remodeling and osteoprogenitor recruitment dynamics in juvenile mouse bone.
OrgaSegment: deep-learning based organoid segmentation to quantify CFTR dependent fluid secretion
Authors: Lefferts Juliet W. , Kroes Suzanne , Smith Matthew B. , Niemöller Paul J. , Nieuwenhuijze Natascha D. A. , Sonneveld van Kooten Heleen N. , van der Ent Cornelis K. , Beekman Jeffrey M. , van Beuningen Sam F. B. 
Published: March 2024

AbstractEpithelial ion and fluid transport studies in patient-derived organoids (PDOs) are increasingly being used for preclinical studies, drug development and precision medicine applications. Epithelial fluid transport properties in PDOs can be measured through visual changes in organoid (lumen) size. Such organoid phenotypes have been highly instrumental for the studying of diseases, including cystic fibrosis (CF), which is characterized by genetic mutations of the CF transmembrane conductance regulator (CFTR) ion channel. Here we present OrgaSegment, a MASK-RCNN based deep-learning segmentation model allowing for the segmentation of individual intestinal PDO structures from bright-field images. OrgaSegment recognizes spherical structures in addition to the oddly-shaped organoids that are a hallmark of CF organoids and can be used in organoid swelling assays, including the new drug-induced swelling assay that we show here. OrgaSegment enabled easy quantification of organoid swelling and could discriminate between organoids with different CFTR mutations, as well as measure responses to CFTR modulating drugs. The easy-to-apply label-free segmentation tool can help to study CFTR-based fluid secretion and possibly other epithelial ion transport mechanisms in organoids.
Cell-particles interaction – selective uptake and transport of microdiamonds
Authors: Ebrahimi Armin M. , Gawlik Wojciech , Wojciechowski Adam M. , Rajfur Zenon 
Published: March 2024

AbstractDiamond particles have recently emerged as novel agents in cellular studies because of their superb biocompatibility. Their unique characteristics, including small size and the presence of fluorescent color centers, stimulate many important applications. However, the mechanism of interaction between cells and diamond particles—uptake, transport, and final localization within cells—is not yet fully understood. Herein, we show a novel, to the best of our knowledge, cell behavior wherein cells actively target and uptake diamond particles rather than latex beads from their surroundings, followed by their active transport within cells. Furthermore, we demonstrate that myosin-X is involved in cell-particle interaction, while myosin-II does not participate in particle uptake and transport. These results can have important implications for drug delivery and improve sensing methods that use diamond particles.
Mapping of facial and vocal processing in common marmosets with ultra-high field fMRI
Authors: Dureux Audrey , Zanini Alessandro , Everling Stefan 
Published: March 2024

AbstractPrimate communication relies on multimodal cues, such as vision and audition, to facilitate the exchange of intentions, enable social interactions, avoid predators, and foster group cohesion during daily activities. Understanding the integration of facial and vocal signals is pivotal to comprehend social interaction. In this study, we acquire whole-brain ultra-high field (9.4 T) fMRI data from awake marmosets (Callithrix jacchus) to explore brain responses to unimodal and combined facial and vocal stimuli. Our findings reveal that the multisensory condition not only intensifies activations in the occipito-temporal face patches and auditory voice patches but also engages a more extensive network that includes additional parietal, prefrontal and cingulate areas, compared to the summed responses of the unimodal conditions. By uncovering the neural network underlying multisensory audiovisual integration in marmosets, this study highlights the efficiency and adaptability of the marmoset brain in processing facial and vocal social signals, providing significant insights into primate social communication.
Carbocationoids, a concept for controlling highly reactive cationic species
Authors: Fujita Hikaru , Shimada Daichi , Kudo Jotaro , Kosha Kazuyuki , Kakuyama Satoshi , Terasaki Hiromitsu , Kunishima Munetaka 
Published: March 2024

AbstractCarbocations, which are positively charged highly electrophilic intermediates, are efficacious for the direct alkylation of low-reactive nucleophiles. The utilization of carbocations in SN1 reactions relies on the activation of their precursors in the presence of a nucleophile. However, undesirable interactions between the nucleophile and the leaving group activator limit the scope of acceptable nucleophiles. Here we report a strategy to conduct SN1 reactions involving unstable carbocations in an alternative stepwise procedure, which was demonstrated by the benzylation of various neutral nucleophiles. In the first step, carbocations were accumulated in a nucleophile-free solution in the form of carbocationoids utilizing the coordinative stabilization of triazinediones. Subsequently, the addition of these solutions in the second step enabled room-temperature alkylation without the need for acidic additives. This methodology overcomes the inherent challenges of carbocations in SN1 reactions.
Statics and dynamics of non-Hermitian many-body localization
Authors: Mák József , Bhaseen M. J. , Pal Arijeet 
Published: March 2024

AbstractMany-body localized phases retain memory of their initial conditions in disordered interacting systems with unitary dynamics. The stability of the localized phase due to the breakdown of unitarity is of relevance to experiment in the presence of dissipation. Here we investigate the impact of non-Hermitian perturbations on many-body localization. We focus on the interacting Hatano-Nelson model which breaks unitarity via asymmetric hopping. We explore the phase diagram for the mid-spectrum eigenstates as a function of the interaction strength and the non-Hermiticity. In contrast to the non-interacting case, our findings are consistent with a two-step approach to the localized regime. We also study the dynamics of the particle imbalance. We show that the distribution of relaxation time scales differs qualitatively between the localized and ergodic phases. Our findings suggest the possibility of an intermediate dynamical regime in disordered open systems.
Quasiprobability fluctuation theorem behind the spread of quantum information
Authors: Zhang Kun , Wang Jin 
Published: March 2024

AbstractInformation spreads in time. For example, correlations dissipate when the correlated system locally couples to a third party, such as the environment. This simple but important fact forms the known quantum data-processing inequality. Here we theoretically uncover the quantum fluctuation theorem behind the quantum informational inequality. The fluctuation theorem quantitatively predicts the statistics of the underlying stochastic quantum process. To fully capture the quantum nature, the fluctuation theorem established here is extended to the quasiprobability regime. We also experimentally apply an interference-based method to measure the amplitudes composing the quasiprobability and verify our established fluctuation theorem by the IBM quantum computer.
Interstitial fluid-based wearable biosensors for minimally invasive healthcare and biomedical applications
Authors: Wu Zixiong , Qiao Zheng , Chen Shuwen , Fan Shicheng , Liu Yuanchao , Qi Jiaming , Lim Chwee Teck 
Published: March 2024

AbstractInterstitial fluid (ISF), a biological fluid rich in diverse biomarkers and analytes and similar to blood composition, has garnered significant attention as a valuable source of clinically relevant information. Consequently, ISF-based wearable biosensors are emerging as powerful tools for non-invasive and minimally invasive disease diagnosis, personalized medicine, and other healthcare and biomedical applications. This review provides a comprehensive overview of recent advancements in ISF-based biosensors, with a particular focus on wearable ISF sensors. We first offer insights into ISF biomarkers and sampling techniques and discuss recent ISF sensing strategies that encompass materials, fabrication methods, and sensing mechanisms. Then, we present a comprehensive overview of their applications. Finally, we address the challenges faced in this field and offer a forward-looking perspective on promising future directions.
Strain-mediated phase crossover in Ruddlesden–Popper nickelates
Authors: Cui Ting , Choi Songhee , Lin Ting , Liu Chen , Wang Gang , Wang Ningning , Chen Shengru , Hong Haitao , Rong Dongke , Wang Qianying , Jin Qiao , Wang Jia-Ou , Gu Lin , Ge Chen , Wang Can , Cheng Jin-Guang , Zhang Qinghua , Si Liang , Jin Kui-juan , Guo Er-Jia 
Published: March 2024

AbstractRecent progress on the signatures of pressure-induced high-temperature superconductivity in Ruddlesden–Popper (RP) nickelates (Lan+1NinO3n+1) has attracted growing interest in both theoretical calculations and experimental efforts. The fabrication of high-quality single-crystalline RP nickelate thin films is critical for possible reducing the superconducting transition pressure and advancing applications in microelectronics in the future. In this study, we report the observations of an active phase transition in RP nickelate films induced by misfit strain. We found that RP nickelate films favor the perovskite structure (n = ∞) under tensile strains, while compressive strains stabilize the La3Ni2O7 (n = 2) phase. The selection of distinct phases is governed by the strain dependent formation energy and electronic configuration. In compressively strained La3Ni2O7, we experimentally determined the eg splitting energy is ~0.2 eV and electrons prefer to occupy in-plane orbitals. First-principles calculations unveil a robust coupling between strain effects and the valence state of Ni ions in RP nickelates, suggesting a dual driving force for the inevitable phase co-existence transition in RP nickelates. Our work underscores the sensitivity of RP nickelate formation to epitaxial strain, presenting a significant challenge in fabricating pure-phase RP nickelate films. Therefore, special attention to stacking defects and grain boundaries between different RP phases is essential when discussing the pressure-induced superconductivity in RP nickelates.
Unravelling the complex causal effects of substance use behaviours on common diseases
Authors: Xue Angli , Zhu Zhihong , Wang Huanwei , Jiang Longda , Visscher Peter M. , Zeng Jian , Yang Jian 
Published: March 2024

Abstract
Background
Substance use behaviours (SUB) including smoking, alcohol consumption, and coffee intake are associated with many health outcomes. However, whether the health effects of SUB are causal remains controversial, especially for alcohol consumption and coffee intake.

Methods
In this study, we assess 11 commonly used Mendelian Randomization (MR) methods by simulation and apply them to investigate the causal relationship between 7 SUB traits and health outcomes. We also combine stratified regression, genetic correlation, and MR analyses to investigate the dosage-dependent effects.

Results
We show that smoking initiation has widespread risk effects on common diseases such as asthma, type 2 diabetes, and peripheral vascular disease. Alcohol consumption shows risk effects specifically on cardiovascular diseases, dyslipidemia, and hypertensive diseases. We find evidence of dosage-dependent effects of coffee and tea intake on common diseases (e.g., cardiovascular disease and osteoarthritis). We observe that the minor allele effect of rs4410790 (the top signal for tea intake level) is negative on heavy tea intake $$({\hat{b}}_{GWAS}=-0.091,s.e.=0.007,P=4.90\times {10}^{-35})$$

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but positive on moderate tea intake $$({\hat{b}}_{GWAS}=0.034,s.e.=0.006,P=3.40\times {10}^{-8})$$

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, compared to the non-tea-drinkers.

Conclusion
Our study reveals the complexity of the health effects of SUB and informs design for future studies aiming to dissect the causal relationships between behavioural traits and complex diseases.
The BulkECexplorer compiles endothelial bulk transcriptomes to predict functional versus leaky transcription
Authors: Brash James T. , Diez-Pinel Guillermo , Colletto Chiara , Castellan Raphael F. P. , Fantin Alessandro , Ruhrberg Christiana 
Published: March 2024

AbstractTranscriptomic data can be mined to understand the molecular activity of cell types. Yet, functional genes may remain undetected in RNA sequencing (RNA-seq) experiments for technical reasons, such as insufficient read depth or gene dropout. Conversely, RNA-seq experiments may detect lowly expressed mRNAs thought to be biologically irrelevant products of leaky transcription. To represent a cell type’s functional transcriptome more accurately, we propose compiling many bulk RNA-seq datasets into a compendium and applying established classification models to predict whether detected transcripts are likely products of active or leaky transcription. Here, we present the BulkECexplorer (bulk RNA-seq endothelial cell explorer) compendium of 240 bulk RNA-seq datasets from five vascular endothelial cell subtypes. This resource reports transcript counts for genes of interest and predicts whether detected transcripts are likely the products of active or leaky gene expression. Beyond its usefulness for vascular biology research, this resource provides a blueprint for developing analogous tools for other cell types.
Basal–epithelial subpopulations underlie and predict chemotherapy resistance in triple-negative breast cancer
Authors: Inayatullah Mohammed , Mahesh Arun , Turnbull Arran K , Dixon J Michael , Natrajan Rachael , Tiwari Vijay K 
Published: March 2024

AbstractTriple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype, characterized by extensive intratumoral heterogeneity, high metastasis, and chemoresistance, leading to poor clinical outcomes. Despite progress, the mechanistic basis of these aggressive behaviors remains poorly understood. Using single-cell and spatial transcriptome analysis, here we discovered basal epithelial subpopulations located within the stroma that exhibit chemoresistance characteristics. The subpopulations are defined by distinct signature genes that show a frequent gain in copy number and exhibit an activated epithelial-to-mesenchymal transition program. A subset of these genes can accurately predict chemotherapy response and are associated with poor prognosis. Interestingly, among these genes, elevated ITGB1 participates in enhancing intercellular signaling while ACTN1 confers a survival advantage to foster chemoresistance. Furthermore, by subjecting the transcriptional signatures to drug repurposing analysis, we find that chemoresistant tumors may benefit from distinct inhibitors in treatment-naive versus post-NAC patients. These findings shed light on the mechanistic basis of chemoresistance while providing the best-in-class biomarker to predict chemotherapy response and alternate therapeutic avenues for improved management of TNBC patients resistant to chemotherapy.
An hourglass-shaped nickel-based polyoxometalate crystalline material as a highly efficient bifunctional electrocatalyst for the oxygen evolution reaction and detection of H2O2
Authors: Li Yajie , Zhu Na , Su Zhixuan , Hu Xiaoli , Dou Zhiyu , Su Zhongmin 
Published: March 2024

A novel P4Mo6-based POMOFs (CUST-576) was synthesized as a pre-catalyst in the OER reaction, and NiOOH, Ni(OH)2 obtained by in situ reconstruction was used as the main active site with good electrocatalytic OER and H2O2 detection performance.