bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of long non‐coding RNA Maternally Expressed Gene 3 in cancer‐associated fibroblasts at single cell pan‐cancer level
Authors: Zhou Tao , Yan Huayun , Deng Yiqi , Zhu Yunfeng , Xia Xuyang , Wu Wanchun , Zhang Wei‐Han , Chen Hai‐Ning , Hu Jian‐Kun , Zhou Zong‐Guang , Shu Yang , Li Yuan , Xu Heng 
Published: September 2024

AbstractLong non‐coding RNAs (lncRNAs) can crucially regulate activation and transformation of cancer‐associated fibroblasts (CAFs) but have not been systematically investigated at single cell resolution. Here, by utilizing integrated single‐cell sequencing datasets, we screened the aberrantly expressed lncRNAs in CAFs, which are the major component of tumor microenvironment. Our findings revealed a consistent CAF‐specific downregulation of Maternally Expressed Gene 3 (MEG3) expression and increased MEG3+ proportion at the pan‐cancer level, which may be attributed to m6A‐related post‐transcriptional modifications. Through activation trajectory analysis of the major CAF subtypes, it was determined that elevated MEG3 expression in CAFs leads to an increase in PDGFRA expression. This, in turn, promotes CAF activation and transformation into an MEG3+ adipogenic CAF (MACAF) subtype, which is more sensitive to Dasatinib. MACAF‐related cell–cell interactions highlighted that MACAF could enhance the epithelial‐mesenchymal transition process in tumor cells via the TGF‐β pathway, promoting tumor cell migration and possibly contributing to tumor progression and invasiveness. Notably, patients with higher MACAF scores experience unfavorable prognoses and poor response rates to checkpoint inhibitor‐based immunotherapy, suggesting a correlation between MACAF and immunosuppressive microenvironment shaping. Our findings provide novel insights of the MEG3 in CAF activation and highlight the potential value of the MACAF score for therapeutic strategies design involving Dasatinib and immunotherapy.
Brown patch on tall fescue as influenced by nitrogen and fungicide applications
Authors: Fry Jack D. , Chhetri Manoj , Pease Ben 
Published: September 2024

AbstractTall fescue (Festuca arundinacea Schreb.) is a cool‐season turfgrass species commonly used in the transition zone. Brown patch (Rhizoctonia solani Kuhn) can have a significant impact on quality of tall fescue between late spring and late summer and is impacted by management strategies including fertilization and fungicide use. The objective of this study was to evaluate the influence of four nitrogen (N) sources and two application rates (0, 74 kg ha−1 [low], or 220 kg ha−1 [high] annually) along with fungicide application (azoxystrobin applied or not applied) on tall fescue brown patch infection. Highest quality occurred when tall fescue received the highest level of N and fungicide treatment. If high levels of N were applied and no fungicide was used, quality was reduced significantly when brown patch was observed in tall fescue. For example, on July 21, 2023, when most intense brown patch occurred, tall fescue had variable brown patch levels: low N levels 2%–23% and high N levels 48%–66%. Across three rating dates in summer 2023, tall fescue receiving the low N level exhibited statistically similar brown patch among all N sources. Conversely, brown patch treated with high levels of N had lower brown patch in urea compared to humic‐coated urea and slow‐release N on at least one of the three dates. Applying N at a level of 220 kg ha−1 annually or higher can result in significant brown patch in some summers; lower N levels will reduce brown patch. Desiring high tall fescue quality requires the high N level and inclusion of preventive fungicide applications.
Universal social protection and gender disparities in food security: Insights from Nepal
Authors: Paudel Jayash 
Published: September 2024

AbstractThis article exploits a sharp age cutoff for eligibility of a nationwide senior citizen allowance program in Nepal to show that a universal social protection increased the likelihood of receiving financial assistance among the elderly, but did not improve food consumption. Eligible females are 8.8 percentage points more likely to eat fewer meals induced by inadequate resources and 5.3 percentage points more likely to sleep hungry in response to inadequate food. This adverse effect is driven by multi‐generational households with young children, implying that the program exacerbated gender disparities in food security through changes in household size and childcare duties.
Multidepth quantitative analysis of liver cell viscoelastic properties: Fusion of nanoindentation and finite element modeling techniques
Authors: Zeng Yi , Liu Xianping , Wang Zuobin , Gao Wei , Zhang Shengli , Wang Ying , Liu Yunqing , Yu Haiyue 
Published: September 2024

AbstractLiver cells are the basic functional unit of the liver. However, repeated or sustained injury leads to structural disorders of liver lobules, proliferation of fibrous tissue and changes in structure, thus increasing scar tissue. Cellular fibrosis affects tissue stiffness, shear force, and other cellular mechanical forces. Mechanical force characteristics can serve as important indicators of cell damage and cirrhosis. Atomic force microscopy (AFM) has been widely used to study cell surface mechanics. However, characterization of the deep mechanical properties inside liver cells remains an underdeveloped field. In this work, cell nanoindentation was combined with finite element analysis to simulate and analyze the mechanical responses of liver cells at different depths in vitro and their internal responses and stress diffusion distributions after being subjected to normal stress. The sensitivities of the visco‐hyperelastic parameters of the finite element model to the effects of the peak force and equilibrium force were compared. The force curves of alcohol‐damaged liver cells at different depths were measured and compared with those of undamaged liver cells. The inverse analysis method was used to simulate the finite element model in vitro. Changes in the parameters of the cell model after injury were explored and analyzed, and their potential for characterizing hepatocellular injury and related treatments was evaluated.Research Highlights
This study aims to establish an in vitro hyperelastic model of liver cells and analyze the mechanical changes of cells in vitro.
An analysis method combining finite element analysis model and nanoindentation was used to obtain the key parameters of the model.
The multi‐depth mechanical differences and internal structural changes of injured liver cells were analyzed.
Lipid droplets and small extracellular vesicles: More than two independent entities
Authors: Genard Géraldine C. , Tirinato Luca , Pagliari Francesca , Da Silva Jessica , Giammona Alessandro , Alquraish Fatema , Reyes Maria Parra , Bordas Marie , Marafioti Maria Grazia , Franco Simone Di , Janssen Jeannette , Garcia‐Calderón Daniel , Hanley Rachel , Nistico Clelia , Fukasawa Yoshinori , Müller Torsten , Krijgsveld Jeroen , Todaro Matilde , Costanzo Francesco Saverio , Stassi Giorgio , Nessling Michelle , Richter Karsten , Maass Kendra K. , Liberale Carlo , Seco Joao 
Published: September 2024

AbstractDespite increasing knowledge about small extracellular vesicle (sEV) composition and functions in cell–cell communication, the mechanism behind their biogenesis remains unclear. Here, we reveal for the first time that sEV biogenesis and release into the microenvironment are tightly connected with another important organelle, Lipid Droplets (LDs). The correlation was observed in several human cancer cell lines as well as patient‐derived colorectal cancer stem cells (CR‐CSCs). Our results demonstrated that external stimuli such as radiation, pH, hypoxia or lipid‐interfering drugs, known to affect the number of LDs/cell, similarly influenced sEV secretion. Importantly, through multiple omics data, at both mRNA and protein levels, we revealed RAB5C as a potential important molecular player behind this organelle connection. Altogether, the potential to fine‐tune sEV biogenesis by targeting LDs could significantly impact the amount, cargos and properties of these sEVs, opening new clinical perspectives.
Corrigendum: The diameter of AT‐free graphs
Authors: Ducoffe Guillaume 
Published: September 2024

AbstractThis corrigendum corrects an error found in the proof of correctness of the algorithm by [Ducoffe, JGT, 2022, 99(4), pp. 594–614], Theorem 6. An erroneous result from Deogun and Kratsch was used in the original proof. There are no changes in the algorithm itself.
Noninvasive Multitechnique Analysis of Baroque Amber Artworks From Gdansk: The Benefits of Using Raman Spectroscopy
Authors: Rygula Anna , Klisińska‐Kopacz Anna , Matosz Marta , Wilkosz Tomasz , Obarzanowski Michał , Krupska‐Wolas Paulina , Skóra Karolina , Kopyciak Aldona , Harasim‐Grym Joanna , del Hoyo‐Meléndez Julio M. 
Published: September 2024

ABSTRACTThe multidisciplinary, noninvasive analysis of baroque amber artworks is part of a research project that deals with the most valuable objects from the Museum of Gdansk (Poland). The two most interesting objects will be presented here: a Baroque Gdansk wardrobe‐shaped amber cabinet (made by Johann Georg Zernebach, Gdansk, 1724) and a crucifix (Gdansk, 17th century). Macro‐ (UV, IR, and X‐radiography) and micro‐ (XRF and Raman spectroscopy) analytical methods were applied to reveal traces of old conservation treatments and uncover the techniques of the 17th and 18th century amber masters. UV photography shows the differences between the amber plates that are not so easily detected under visible light, while XRF spectrometry detects elements atypical for amber objects, suggesting previous conservation treatments. Confocal Raman measurements, especially Raman depth profiling, were performed for the amber artworks and allowed to detect areas of previous conservation treatments. Single‐point scans were collected from the surface (0 μm) to a depth of −200 μm, with a step of 50 μm. The results allowed us to identify three different types of zones: where the amber was preserved without any protective layer, places where the amber was covered with a thin layer of a protective substance, and places where amber elements were compensated for loss using a binding agent and filler. The presented project allowed the development of a comprehensive methodology for the analysis of amber objects, especially to optimize the capabilities of confocal Raman microscopy. The combination of macro‐ and microanalytical techniques made it possible to obtain a broad overview of such complex artworks while optimizing the time and effort spent on the investigations.
Micro‐Raman Spectroscopy for the Identification of Drawing Materials Used Throughout the 17th and 20th Centuries
Authors: Klisińska‐Kopacz Anna , Ryguła Anna , del Hoyo Meléndez Julio M. 
Published: September 2024

ABSTRACTThe study explores drawing materials from the 17th century to the present using noninvasive techniques like Raman spectroscopy in selected cases supplemented by x‐ray fluorescence (XRF) spectroscopy. This publication is an effort to expand knowledge across diverse periods and materials. A collection of six drawings spanning from 1700 to 1899 from the National Museum in Krakow and a 20th‐century birch bark artifact were analyzed. Noninvasive techniques facilitated the systematic analysis of drawing materials, providing insights into diverse substances over centuries. Identified materials include hematite, calcite, graphite, bister, sepia, iron gall ink, and crystal violet dye. Understanding the chemical composition aids conservation and is a reference for future art history and preservation studies.
Could Olympic Gels of Polystyrene be Produced by ARGET ATRP From Bifunctional Initiators?
Authors: Braidi Niccolò , Porcelli Nicola , Roncaglia Fabrizio , Mucci Adele , Tassinari Francesco 
Published: September 2024

AbstractThe kinetics of gelation in the Activators Regenerated by Electron Transfer Atom Transfer Radical Polymerization (ARGET ATRP) of styrene, using a bifunctional initiator and no crosslinking agents are investigated. By applying the method of moments, we develop a system of differential equations that accounts for the formation of polymer rings. The kinetic rate constants of this model are optimized on the experimentally determined kinetics, varying the reaction temperature and ethanol fraction. Subsequently, we explore how variations in the amounts of catalyst, initiator, and reducing agents affect the simulated equilibria of ARGET ATRP, the emergence of gelation, and the swelling properties of the resulting networks. These findings suggest that favoring ring formation enhances the gelation phenomenon, supporting the hypothesis that the networks formed under the reported reaction conditions are olympic gels.
Current status and challenges of shape memory scaffolds in biomedical applications
Authors: Wu Haoming , Yang Shuhao , Li Jiuhong , Ma Teng , Yang Keyi , Liao Tianzheng , Feng Wanyue , Zhou Bingnan , Yong Xin , Zhou Kai , Hu Xulin 
Published: September 2024

AbstractThe rapid evolution of clinical medicine, materials science, and regenerative medicine has rendered traditional implantable scaffolds inadequate for addressing the complex therapeutic demands of various diseases. Currently, implantable scaffolds in clinical practice are mainly made of metal, with the disadvantages of high stiffness, poor toughness, and low deformation. This paper offers a thorough review of shape memory scaffolds (SMSs), emphasizing their distinctive self‐recovery and adaptive functionalities that enhance compatibility with injured tissues, surpassing the capabilities of conventional metallic biomaterials. It delves into the limitations of current clinical scaffolds and the requisite performance metrics for effective implants and outlines the essential materials and fabrication methods for SMSs. Moreover, we enumerate the biomedical applications of SMMs with different response types, including thermology‐responsive, water‐responsive, and light‐responsive. The discussion extends to the burgeoning applications of SMSs in biomedical engineering, including their utility in bone tissue engineering, cardiovascular stenting, tubular structures, and cardiac patches, which underscore their potential in minimally invasive procedures and dynamic tissue interactions. This review concludes with an analysis of current challenges and prospects, providing valuable insights for developing and applying SMSs in the biomedical sector.
Interleukin‐6 induces cognitive impairment via toll‐like receptor 4 (TLR4)‐mediated neuroinflammation and neurodegeneration in mice with chronic kidney disease
Authors: Shentu Yangping , Ma Shuqing , Ye Simin , Ying Yaozhe , Wang Luhui , Zhu Yun , Wang YunTing , Jiang Nan , Zhao Zongyuan , Zheng Chenfei , Chen Chaosheng , Bai Yongheng , Zhou Ying 
Published: September 2024

AbstractBackgroundsPast epidemiological and experimental studies in rodents have demonstrated that chronic kidney disease (CKD) leads to cognitive impairment. However, the underlying mechanism requires further investigation. Herein, a mouse model of CKD was established using conventional 5/6 nephrectomy. We aimed to examine the relationship between CKD and cognitive impairment and elucidate the underlying mechanisms.MethodsCognitive behavior was assessed using the Morris water maze, novel object recognition test, and fear conditioning test. Further experiments were also conducted to investigate the underlying molecular mechanisms.ResultsOur clinical data revealed a decrease in cognitive function among patients with CKD, accompanied by elevated plasma levels of pro‐inflammatory cytokines. A positive correlation between cytokine concentrations and serum creatinine levels, as well as a significant positive correlation with cognitive dysfunction, were observed. Correlation analyzes demonstrated that hippocampal cytokine levels were positively correlated with serum creatinine levels and cognitive dysfunction in CKD model mice. Furthermore, 20 mg/mL interleukin‐6 (IL‐6) significantly decreased HT22 cell activity in vitro. Further, HT22 cells treated with IL‐6 showed increased expression levels of toll‐like receptor 4 (TLR4) and myeloid differentiation primary response gene 88 (MyD88), thereby inducing the nuclear factor kappa‐B p65 inflammatory pathway and mitochondria‐dependent apoptosis. The CKD mouse model showed increased expression of TLR4 and cytokines in the hippocampus. TLR4 knockdown antagonized the IL‐6‐mediated pro‐inflammatory and pro‐apoptotic effects in HT22 cells. TLR4 knockdown in the CKD model mice decreased hippocampal inflammation and increased the number of neuron dendrites, thus ameliorated cognitive impairment.ConclusionThese results suggest that IL‐6 triggers TLR4 activation to induce neuroinflammation and neurodegeneration in CKD, ultimately culminate in cognitive impairment.
Optimising structural health monitoring systems: A 2D numerical investigation on impedance matching for FML with integrated sensors
Authors: Rottmann Max , Mangalath Clara , Weber Wolfgang E. 
Published: September 2024

AbstractFibre metal laminates (FML) represent an innovative class of advanced composite materials that integrate the mechanical properties of both metals and fibre‐reinforced composites (FRP). Combining the strength and ductility of metals with the lightweight and high stiffness of FRP and FMLs have emerged as new material compositions for applications in chemical, nuclear, automobile, and aerospace engineering disciplines. Structural health monitoring (SHM) using guided ultrasonic waves (GUW) is the state‐of‐the‐art for non‐destructive testing of thin‐walled structures. When applied to FML, SHM plays a crucial role in monitoring the integrity over time and detecting potential damage such as delamination, fibre breakage, or other structural anomalies. In SHM with GUW, a wave‐field is emitted by actuators. This wave‐field can be affected by damage in the structure, thereby changing its propagation characteristics. Sensors monitor the interaction between damage and GUW, which can be utilized to locate and classify the damage and ascertain the overall health state of the structure. In this study, an advanced integration of measurement hardware, that is, sensors and actuators, within the laminate structure is investigated. Sensor integration into FML allows for improved and more sophisticated monitoring capabilities in comparison to measuring techniques like laser vibrometers, which are limited to measuring displacements on the surface of the structure. However, the integration of sensors and actuators yields the technical difficulty of distorting the wave‐fields and may result in an over‐ or underestimation of the damage. Similar to damage, the distortion of the wave‐field is caused by the changes in acoustic impedance resulting from different material properties. In a previous study, incorporating a functionally graded artificial interphase through acoustic impedance matching between the sensor and host material showed notable and significant outcomes. The current contribution extends the prior graded artificial interphase for an isotropic homogeneous material to an FML structure. This paper presents a comprehensive numerical simulation study on a two‐dimensional model of FML with integrated sensors. The interphases are designed based on impedance matching, which improves signal transmission and reduces disturbing reflections. The conducted investigations hold for several interphase configurations for a wide frequency range. The optimised integration of sensors demonstrates promising results for enhancing the reliability and accuracy of SHM systems. This research serves as a foundation for further experimental validation and the development of advanced sensor‐integrated FML structures with improved monitoring capabilities.
Multiscale analysis of interlocking effects for polymer additive manufacturing on aluminum foam
Authors: Timmann Frederic , Gronwald Paul‐Luis , Hürkamp André , Dröder Klaus 
Published: September 2024

AbstractHybrid structures are increasingly relevant for lightweight design and functional components. Various manufacturing techniques for creating hybrid components exist, often focusing on combining metal and polymer components. The present study examines a novel approach for manufacturing hybrid functional structures by directly printing thermoplastic onto aluminum profiles using closed‐cell aluminum foam, with the mechanical interlocking resulting in a structural bond. The filling of pores in the aluminum foam with the polymer affects the bond strength of this hybrid compound. Within a simulation‐based process design the additive manufacturing process parameters are investigated using a computational fluid dynamics (CFD) model with Fluid‐Structure Interaction for the pore‐filling process and a finite element (FE) model to evaluate the resulting bond strength. The material throughput, the nozzle distance, and the polymer temperature are the key process parameters taken into account. A parameterized, virtual foam model is used within this framework, where a linear movement of the extruder nozzle and the resulting polymer strand is investigated. This method includes the mesh conversion from the CFD results to the FE mesh for structural analysis by exporting the iso‐surface for the polymer geometry embedded in the pores of the aluminum foam structure. This approach made it possible to investigate the phenomena that occur in the process in more detail, particularly to quantify the influence of air inclusions. Thus, a decisive contribution to the hybridization of aluminum foams has been made, which opens up further potential for research and application in the long term.
Low velocity impact resistance of hybrid CFRP‐elastomer‐metal laminates: Influence of stacking sequence and impact conditions on damage mechanisms
Authors: Li Zhongyu , Jackstadt Alexander , Zhang Junyuan , Liebig Wilfried V. , Kärger Luise 
Published: September 2024

AbstractFiber‐metal laminates (FMLs) are generally regarded as excellent lightweight materials for advanced structure design. To enhance the mechanical properties, the common FMLs can be optimized using carbon fibers. However, the combination of carbon fibers with aluminum induces interfacial challenges. Preventing galvanic corrosion with elastomeric interlayers is an effective solution. The lay‐up configuration greatly effects the impact damage resistance of hybrid CFRP‐elastomer‐metal laminates (HyCEMLs). In this work, micro‐CT scans and optical micrographic inspections on HyCEMLs are conducted after impact tests to ascertain the microstructural origins behind the mechanical performance changes. In addition, finite element models of different HyCEML configurations are built to complement the limited experimental data. The damage mechanisms of HyCEML with different configurations under various impact conditions are further compared. The numerical results suggest that impact energy is a more informative measure in terms of damage mode and size than impact velocity and momentum. Results also indicate that when the thickness for each sub‐laminate of HyCEML is maintained the same, hybrid laminates with aluminum stacked outside is beneficial for delaying the occurrence of matrix cracking and delaminations, and enhances HyCEML's resistance to global deformation. These findings will contribute to engineering hybrid laminates with desired impact performance for lightweight load‐bearing structures.Highlights
The hybrid laminate with elastomeric interlayers is a forward‐looking solution in impact applications.
Impact energy is a more informative measure in terms of assessing the damage mode and extent in HyCEMLs.
The influence of stacking sequence on damage mechanisms of HyCEMLs is evaluated.
Microstructural origins behind variations of hybrid laminates in the impact resistance are revealed.