bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chitin and laminarin additively trigger wheat reactive oxygen species but not resistance to Fusarium head blight
Authors: Hao Guixia , Rhoades Nicholas A. , McCormick Susan 
Published: October 2023

AbstractPlants respond to fungal infections by activating defense genes including producing reactive oxygen species (ROS). The fungus Fusarium graminearum causes Fusarium head blight (FHB), a serious disease of wheat and barley. FHB results in crop yield loss and contaminates grain with mycotoxins. In a prior study, we discovered that chitin induces tissue‐specific ROS burst in wheat. However, it is unknown whether other fungal cell wall components could induce defense response in wheat. Therefore, we evaluated ROS and defense gene responses in different wheat tissues that had been treated with chitin, laminarin, or both. Different ROS patterns were induced in wheat treated with laminarin or chitin. Furthermore, we found that ROS were enhanced in wheat tissues treated with both chitin and laminarin. This study provides novel information for enhancing plat immunity to increase plant resistance.
Proteomic and phosphoproteomic characterisation of primary mouse embryonic fibroblasts
Authors: Chen Yanfang , Roselli Severine , Panicker Nikita , Brzozowski Joshua S. , Skerrett‐Byrne David A. , Murray Heather C. , Verrills Nicole M. 
Published: October 2023

AbstractFibroblasts are the most common cell type in stroma and function in the support and repair of most tissues. Mouse embryonic fibroblasts (MEFs) are amenable to isolation and rapid growth in culture. MEFs are therefore widely used as a standard model for functional characterisation of gene knockouts, and can also be used in co‐cultures, commonly to support embryonic stem cell cultures. To facilitate their use as a research tool, we have performed a comprehensive proteomic and phosphoproteomic characterisation of wild‐type primary MEFs from C57BL/6 mice. EIF2/4 and MTOR signalling pathways were abundant in both the proteome and phosphoproteome, along with extracellular matrix (ECM) and cytoskeleton associated pathways. Consistent with this, kinase enrichment analysis identified activation of P38A, P90RSK, P70S6K, and MTOR. Cell surface markers and matrisome proteins were also annotated. Data are available via ProteomeXchange with identifier PXD043244. This provides a comprehensive catalogue of the wild‐type MEF proteome and phosphoproteome which can be utilised by the field to guide future work.
Persistent sleep‐disordered breathing independently contributes to metabolic syndrome in prepubertal children
Authors: Armañac‐Julián Pablo , Martín‐Montero Adrián , Lázaro Jesús , Hornero Roberto , Laguna Pablo , Kheirandish‐Gozal Leila , Gozal David , Gil Eduardo , Bailón Raquel , Gutiérrez‐Tobal Gonzalo 
Published: October 2023

AbstractBackgroundObstructive sleep apnea (OSA) is a risk factor for metabolic syndrome (MetS) in adults, but its association in prepubertal children is still questionable due to the relatively limited cardiometabolic data available and the phenotypic heterogeneity.ObjectiveTo identify the role of OSA as a potential mediator of MetS in prepubertal children.MethodsA total of 255 prepubertal children from the Childhood Adenotonsillectomy Trial were included, with standardized measurements taken before OSA treatment and 7 months later. MetS was defined if three or more of the following criteria were present: adiposity, high blood pressure, elevated glycemia, and dyslipidemia. A causal mediation analysis was conducted to assess the effect of OSA treatment on MetS.ResultsOSA treatment significantly impacted MetS, with the apnea–hypopnea index emerging as mediator (p = .02). This mediation role was not detected for any of the individual risk factors that define MetS. We further found that the relationship between MetS and OSA is ascribable to respiratory disturbance caused by the apnea episodes, while systemic inflammation as measured by C‐reactive protein, is mediated by desaturation events and fragmented sleep. In terms of evolution, patients with MetS were significantly more likely to recover after OSA treatment (odds ratio = 2.56, 95% confidence interval [CI] 1.20–5.46; risk ratio = 2.06, 95% CI 1.19–3.54) than the opposite, patients without MetS to develop it.ConclusionThe findings point to a causal role of OSA in the development of metabolic dysfunction, suggesting that persistent OSA may increase the risk of MetS in prepubertal children. This mediation role implies a need for developing screening for MetS in children presenting OSA symptoms.
Liquiritin targeting Th17 cells differentiation and abnormal proliferation of keratinocytes alleviates psoriasis via NF‐κB and AP‐1 pathway
Authors: Guo Dandan , Wang Qianqian , Li Aifang , Li Shuxuan , Wang Baiyan , Li Yalan , Yuan Juan , Guo Tao , Feng Shuying 
Published: October 2023

AbstractPsoriasis is a common immune‐mediated inflammatory skin disease, caused by disturbed interactions between keratinocytes and immune cells. Chinese medicine shows potential clinical application for its treatment. Liquiritin is a flavone compound extracted from licorice and shows potential antitussive, antioxidant and antiinflammatory effects, and therefore may have potential as a psoriasis therapeutic. The aim of this work was to examine the possible roles that liquiritin may have in treating psoriasis. HaCaT cells were stimulated by TNF‐α with or without liquiritin, harvested for analysis by western blots and RT‐qPCR, and the cellular supernatants were collected and analyzed by ELISA for cytokines. In addition, 4 groups of mice were examined: Normal, Vehicle, LQ‐L and LQ‐H. The mice were sacrificed after 6 days and analyzed using IHC, ELISA, RT‐qPCR and flow cytometry. The results showed that liquiritin could significantly inhibit the progression of psoriasis both in vitro and in vivo. Liquiritin strongly suppressed the proliferation of HaCaT keratinocytes but did not affect cell viability. Moreover, liquiritin alleviated imiquimod‐induced psoriasis‐like skin inflammation and accumulation of Th17 cells and DCs in vivo. In TNF‐α‐induced HaCaT keratinocytes, both protein and mRNA expression levels of inflammatory cytokines were sharply decreased. In imiquimod‐induced mice, the activation of NF‐κB and AP‐1 was reduced after treatment with liquiritin. Collectively, our results show that liquiritin might act as a pivotal regulator of psoriasis via modulating NF‐κB and AP‐1 signal pathways.
Licochalcone A alleviates abnormal glucolipid metabolism and restores energy homeostasis in diet‐induced diabetic mice
Authors: Wang Doudou , Yang Lin , Ding Wenwen , Chen Ziyi , Yang Xiaoxue , Jiang Yu , Liu Ying 
Published: October 2023

AbstractLicochalcone A (LCA) is a bioactive chalcone compound identified in licorice. This study aimed to investigate the effects of LCA on glucolipid metabolism and energy homeostasis, as well as the underlying mechanisms. Blood glucose levels, oral glucose tolerance, serum parameters, and histopathology were examined in high‐fat‐high‐glucose diet (HFD)‐induced diabetic mice, with metformin as a positive control. Additionally, changes in key markers related to glucolipid metabolism and mitochondrial function were analyzed to comprehensively assess LCA's effects on metabolism. The results showed that LCA alleviated metabolic abnormalities in HFD‐induced diabetic mice, which were manifested by suppression of lipogenesis, promotion of lipolysis, reduction of hepatic steatosis, increase in hepatic glycogenesis, and decrease in gluconeogenesis. In addition, LCA restored energy homeostasis by promoting mitochondrial biogenesis, enhancing mitophagy, and reducing adenosine triphosphate production. Mechanistically, the metabolic benefits of LCA were associated with the downregulation of mammalian target of rapamycin complex 1 and activation of adenosine monophosphate‐activated protein kinase, the two central regulators of metabolism. This study demonstrates that LCA can alleviate abnormal glucolipid metabolism and restore energy balance in diet‐induced diabetic mice, highlighting its therapeutical potential for the treatment of diabetes.
Quantifying 4D flow cardiovascular magnetic resonance vortices in patients with pulmonary hypertension: A pilot study
Authors: Borhani Ali , Porter Kristin K. , Umair Muhammad , Chu Linda C. , Mathai Stephen C. , Kolb Todd M. , Damico Rachel L. , Hassoun Paul M. , Kamel Ihab R. , Zimmerman Stefan L. 
Published: October 2023

AbstractIn this 4D flow cardiovascular magnetic resonance (CMR) study, vortical blood flow in the main pulmonary artery (MPA) is quantified using circulation (ᴦ), a metric used in fluid dynamics to quantify the rotational components of flow. Circulation (ᴦ) is a 4D flow CMR metric that quantifies the vortical blood flow pattern in the MPA of patients with pulmonary hypertension (PH), distinguishes them from healthy controls, and shows high correlation with invasive markers of PH severity.
Emotions and digital storytelling in the educational context: A systematic review
Authors: Sarıca Hatice Çıralı 
Published: October 2023

AbstractBoth emotions and digital storytelling (DST) have an important role in learning‐teaching processes. Emotions are also important for DST. There is currently much interest in how emotion and DST are addressed together in education, how relations are established, how they are grounded and what the outcomes are. There is a need for a systematic review study in order to find answers to these questions and to give direction to new researches. This systematic review study presents an overview of emotion and DST research trends (in terms of their demographics, research foci and issues) in an educational context, how they are theoretically grounded, and their outcomes. Seventy research articles were reviewed using a mixed‐method approach combining systematic mapping and systematic review. In the studies reviewed, DST serves emotional outcomes as a learning design, multimodal pedagogy, pedagogical method, practice or tool for students, teachers, adults and families. DST provides an emotional connection, engagement, experience and safe space; supports the development of self‐dynamics such as self‐reflection and self‐awareness of emotions; facilitates emotional sharing and empathy; and develops emotional skills in the learning‐teaching process. In addition, it is found that there are deficiencies in the theoretical frameworks of the studies. Finally, the results are discussed and directions for future studies are suggested.
Hierarchical gradient‐ and least‐squares‐based iterative estimation algorithms for input‐nonlinear output‐error systems from measurement information by using the over‐parameterization
Authors: Ding Feng , Xu Ling , Zhang Xiao , Ma Hao 
Published: October 2023

AbstractThis article investigates the parameter identification problems of the stochastic systems described by the input‐nonlinear output‐error (IN‐OE) model. This IN‐OE model consists of two submodels, one is an input nonlinear model and the other is a linear output‐error model. The difficulty in the parameter identification of the IN‐OE model is that the information vector contains the unknown variables, which are the noise‐free (true) outputs of the system, the approach taken here is to replace the unknown terms with the outputs of the auxiliary model. Based on the over‐parameterization model and the hierarchical identification principle, an over‐parameterization auxiliary model hierarchical gradient‐based iterative algorithm and an over‐parameterization auxiliary model hierarchical least‐squares‐based iterative algorithm are proposed to estimate the unknown parameters of the IN‐OE systems. Finally, two numerical simulation examples are given to demonstrate the effectiveness of the proposed algorithms.
Optimization‐based adaptive control for MIMO nonlinear systems: A data‐driven method
Authors: San Yang , Hui Yu , Cai Kaiquan , Meng Deyuan 
Published: October 2023

AbstractThis article concentrates on the challenging adaptive tracking problem of multi‐input and multi‐output (MIMO) nonlinear systems with unknown nonlinear dynamics, for which a novel optimization‐based data‐driven adaptive control (ODDAC) equipped with an extended dynamic linearization method is developed. Through considering MIMO nonlinear systems in the fully‐actuated case and over‐actuated case separately, the ODDAC is proposed consisting of a parameter updating algorithm and an adaptive control law. A new design of parameter updating algorithm is presented such that the estimation can be guaranteed to be bounded by a strict contraction process. By leveraging properties of the nonnegative matrix, a grouping‐based contraction mapping (GCM) analysis method is proposed for the convergence of tracking error. Notably, the GCM does not require the contraction mapping condition to hold at all time instants. The proposed ODDAC is data‐based, avoiding reliance on model information, and its validity is verified through simulations.
Event‐triggered finite‐time terminal sliding mode containment control of multi‐agent systems with nonlinearity and disturbances
Authors: Zhu Wei , Zhou Shuang , Zheng Huannan , Yang Junjie 
Published: October 2023

AbstractFinite‐time containment control of second‐order nonlinear multi‐agent systems with disturbances is investigated. The network topology among agents is assumed to be directed. An event‐triggered terminal sliding mode controller is designed, which is robust with respect to disturbances. Based on the control strategy, the accessibility of sliding manifold and the consensus tracking of the obtained sliding‐mode dynamics are achieved in finite‐time. Continuous update of controller is avoided and the settling time of the system convergence is evaluated. Moreover, the Zeno‐behavior of the triggering time sequence for each agent is excluded. Finally, the feasibility of the developed scheme is evaluated in numerical simulations.
Models of farms in spatial terms in sustainable and multifunctional development of rural areas in Poland
Authors: Sobolewska‐Mikulska Katarzyna , Gołębiewska Barbara , Bielska Anna , Sajnóg Natalia , Grontkowska Anna , Gębska Monika 
Published: October 2023

AbstractThe study aimed primarily to develop spatial farm models in sustainable and multifunctional development of rural areas. The secondary objective was to define the matrix of possible farm models, visualize their dislocation, and recommend multifunctional rural development. It was assumed that the types of model farms depend on the criteria that make it possible to assess the agricultural development potential and the size of agricultural production. Thus, it was assumed that agricultural production conditions influence the farm model but are not always of crucial importance. There are many possibilities for developing various production activities that are not strictly related to agricultural production conditions. The research was carried out with the GIS tool using multi‐criteria and spatial analysis techniques. The research made it possible to determine the models of farms in the rural areas in a specific region, however, the proposed model is suitable for use in other regions or countries.
Exploration and exploitation of multiple values: The dynamic evolution process of sustainable entrepreneurship in Chinese digital platform corporates
Authors: Li Fumeng , Long Jiancheng 
Published: October 2023

AbstractAs a booster of entrepreneurship and innovation, digital technologies are gradually unlocking their transformative potential to mitigate and address major environmental and social problems, together with the platform connecting stakeholders, they offer new opportunities for value co‐creation. While the digital sustainable entrepreneurship framework, encompassing opportunity recognition and exploiting process, is still in the preliminary exploration. The article focalize the digital platform application cases of four sustainable start‐ups and attempts to deconstruct the process of digital sustainable entrepreneurship grounded in the dynamic capability theory. The results indicate that the company integrates the identification of sustainability issues and prediction of heterogeneous needs into multiple opportunity perception, thus establishing stakeholder identification and psychological empowerment to reserve implicit resources, so as to realize the creation of mixed value based on digital platform construction and interaction. The process of “perception–accumulation–co‐creation” presents an alternating cycle of evolution. The results provide support for sustainable entrepreneurship by highlighting the role of dynamic capability as action potentials connected with digital platforms, which in turn foster the study of digital innovation management.
Complexes of SO3 with Pyridine and Bipyridine: Quantum‐Mechanical Methods for Interactions and Spectroscopy
Authors: Curtis Kevin , Yang Ying , Odoh Samuel O. 
Published: October 2023

AbstractGround‐ and excited‐state properties of complexes of SO3 with pyridine and bipyridine are studied with quantum‐mechanical approaches, an important endeavor as SO3 complexation is useful for mitigating its environmental impact and for designing photochromic polymers. Guided design of these polymers will benefit from detailed understanding of the performance of quantum‐mechanical methods to be used for such tasks. Therefore, here we study performance of density functional theory (DFT) and time‐dependent DFT (TD‐DFT) for predicting binding energies, relative energies and excitation spectra of pyridine‐SO3 and bipyridine‐SO3 complexes, in the gas phase and solution. Ground‐state properties are compared against DLPNO‐CCSD(T), DLPNO‐CCSD(T)‐F12 and CCSD(T)‐F12 calculations. Excited state properties are compared to second‐order Algebraic Diagrammatic Construction, ADC(2), and experimental data. For ground state properties, dispersion corrections make a massive improvement to computational data, with the revPBE‐D4 functional specifically recommended for its accuracy, ~1.5 kcal/mol error in the gas phase and ~2.8 kcal/mol in ethanol. For excited‐state properties, many density functionals perform quite well for predicting excitation energies, with most of them being range‐separated hybrids or double‐hybrids with spin‐scaled correlation. However, oscillator strengths from these functionals massively differ from ADC(2), with oscillator strengths from lower‐rung functionals like PBE, M06‐L and BP86 closer to ADC(2).
Bioactive Self‐Regulated Liquified Microcompartments to Bioengineer Bone‐Like Microtissues
Authors: Pinho Ana R. , Gomes Maria C. , Costa Dora C. S. , Mano João F. 
Published: October 2023

AbstractDesigning a microenvironment that drives autonomous stromal cell differentiation toward osteogenesis while recapitulating the complexity of bone tissue remains challenging. In the current study, bone‐like microtissues are created using electrohydrodynamic atomization to form two distinct liquefied microcapsules (mCAPs): i) hydroxypyridinone (HOPO)‐modified gelatin (GH mCAPs, 7.5% w/v), and ii) HOPO‐modified gelatin and dopamine‐modified gelatin (GH+GD mCAPs, 7.5%+1.5% w/v). The ability of HOPO to coordinate with iron ions at physiological pH allows the formation of a semipermeable micro‐hydrogel shell. In turn, the dopamine affinity for calcium ions sets a bioactive milieu for bone‐like microtissues. After 21 days post encapsulation, GH and GH+GD mCAPs potentiate autonomous osteogenic differentiation of mesenchymal stem cells accompanied by collagen type‐I gene upregulation, increased alkaline phosphatase (ALP) expression, and formation of mineralized extracellular matrix. However, the GH+GD mCAPs show higher levels of osteogenic markers starting on day 14, translating into a more advanced and organized mineralized matrix. The GH+GD system also shows upregulation of the receptor activator of nuclear factor kappa‐B ligand (RANK‐L) gene, enabling the autonomous osteoclastic differentiation of monocytes. These catechol‐based mCAPs offer a promising approach to designing multifunctional and autonomous bone‐like microtissues to study in vitro bone‐related processes at the cell‐tissue interface, angiogenesis, and osteoclastogenesis.
Building Block Metal Nanocluster‐Based Growth in 1D Direction
Authors: Qiao Yao , Zou Jiafeng , Fei Wenwen , Fan Wentao , You Qing , Zhao Yan , Li Man‐Bo , Wu Zhikun 
Published: October 2023

AbstractMetal nanoclusters with precisely modulated structures at the nanoscale give us the opportunity to synthesize and investigate 1D nanomaterials at the atomic level. Herein, it realizes selective 1D growth of building block nanocluster “Au13Cd2” into three structurally different nanoclusters: “hand‐in‐hand” (Au13Cd2)2O, “head‐to‐head” Au25, and “shoulder‐to‐shoulder” Au33. Detailed studies further reveals the growth mechanism and the growth‐related tunable properties. This work provides new hints for the predictable structural transformation of nanoclusters and atomically precise construction of 1D nanomaterials.
Alpha‐Emitter Radium‐223 Induces STING‐Dependent Pyroptosis to Trigger Robust Antitumor Immunity
Authors: Yang Mengdie , Liu Haipeng , Lou Jingjing , Zhang Jiajia , Zuo Changjing , Zhu Mengqin , Zhang Xiaoyi , Yin Yuzhen , Zhang Yu , Qin Shanshan , Zhang Han , Fan Xin , Dang Yifang , Cheng Chao , Cheng Zhen , Yu Fei 
Published: October 2023

AbstractRadium‐223 (223Ra) is the first‐in‐class alpha‐emitter to mediate tumor eradication, which is commonly thought to kill tumor cells by directly cleaving double‐strand DNA. However, the immunogenic characteristics and cell death modalities triggered by 223Ra remain unclear. Here, it is reported that the 223Ra irradiation induces the pro‐inflammatory damage‐associated molecular patterns including calreticulin, HMGB1, and HSP70, hallmarks of tumor immunogenicity. Moreover, therapeutic 223Ra retards tumor progression by triggering pyroptosis, an immunogenic cell death. Mechanically, 223Ra‐induced DNA damage leads to the activation of stimulator of interferon genes (STING)‐mediated DNA sensing pathway, which is critical for NLRP3 inflammasome‐dependent pyroptosis and subsequent DCs maturation as well as T cell activation. These findings establish an essential role of STING in mediating alpha‐emitter 223Ra‐induced antitumor immunity, which provides the basis for the development of novel cancer therapeutic strategies and combinatory therapy.
Insights into Modeling Approaches in Chemistry: Assessing Ligand‐Protein Binding Thermodynamics Based on Rigid‐Flexible Model Molecules
Authors: Komarov Igor V. , Bugrov Volodymyr A. , Cherednychenko Anton , Grygorenko Oleksandr O. 
Published: October 2023

AbstractIn the field of chemistry, model compounds find extensive use for investigating complex objects. One prime example of such object is the protein‐ligand supramolecular interaction. Prediction the enthalpic and entropic contribution to the free energy associated with this process, as well as the structural and dynamic characteristics of protein‐ligand complexes poses considerable challenges. This review exemplifies modeling approaches used to study protein‐ligand binding (PLB) thermodynamics by employing pairs of conformationally constrained/flexible model molecules. Strategically designing the model molecules can reduce the number of variables that influence thermodynamic parameters. This enables scientists to gain deeper insights into the enthalpy and entropy of PLB, which is relevant for medicinal chemistry and drug design. The model studies reviewed here demonstrate that rigidifying ligands may induce compensating changes in the enthalpy and entropy of binding. Some “rules of thumb” have started to emerge on how to minimize entropy‐enthalpy compensation and design efficient rigidified or flexible ligands.