bluuebunny/crossref_metadata_2025_split huggingface dataset:
TRIM59 deficiency promotes M1 macrophage activation and inhibits colorectal cancer through the STAT1 signaling pathway
Authors: Wang Haidong , Lou Jun , Liu Hao , Liu Yunlong , Xie Binbin , Zhang Wei , Xie Jiansheng , Pan Hongming , Han Weidong 
Published: July 2024

AbstractTumor-associated macrophages play a crucial role in the tumor microenvironment. Tripartite motif 59 (TRIM59), a member of the tripartite motif (TRIM) family, is known to be associated with immunological diseases and macrophage activation. The functional and molecular mechanisms by which TRIM59 affects the occurrence and development of colorectal cancer (CRC) through macrophages are still not well understood. To address this, we generated macrophage-specific TRIM59 conditional knockout mice and utilized these mice to establish colitis-associated cancer and MC38 transplanted CRC models for further investigation. We found that the deficiency of TRIM59 in macrophages inhibited colorectal tumorigenesis in mice. This tumor-suppressive effect was achieved by promoting the activation of M1 macrophages via STAT1 signaling pathway. Further mechanistic studies revealed that TRIM59 could regulate macrophage polarization by ubiquitinating and degrading STAT1. These findings provide evidence that TRIM59 deficiency promotes M1 macrophage activation and inhibits CRC through the STAT1 signaling pathway, suggesting that the TRIM59/STAT1 signaling pathway may be a promising target for CRC.
Sliding mode control strategy based on disturbance observer for permanent magnet in-wheel motor
Authors: Huang Hao , Yu Chunfeng , Sun Zhonghua , Zhang Yuanfeng , Zhao Zhibin 
Published: July 2024

AbstractA novel sliding mode control(NSMC) strategy combined with a fast terminal sliding mode observer(FTSMO) is suggested in this paper to solve the parameter variation issue of permanent magnet in-wheel motor(PMIWM) installed in the distributed drive electrical vehicle (DDEV). First, a novel sliding mode power converging law is employed to enhance the response speed of the PMIWM controller. Second, an FTSMO is suggested to compensate for the parameter variation of the PMIWM system to strengthen the robustness of the control object. Finally, a fuzzy controller is designed to adjust the control parameters of the NSMC to optimize the control performance. Several simulations and experiments demonstrate that the proposed FTSMO-NSMC scheme can precisely compensate for parameter variation of the control object and improve control accuracy effectively.
Food quality influences behavioural flexibility and cognition in wild house mice
Authors: Gorshkova Ekaterina , Kyomen Stella , Kaucká Markéta , Guenther Anja 
Published: July 2024

AbstractEnvironmental change is frequent. To adjust and survive, animals need behavioural flexibility. Recently, cognitive flexibility has emerged as a driving force for adjusting to environmental change. Understanding how environmental factors, such as food quality, influence behavioural and/or more costly cognitive flexibility. Here, we investigate the effects of high-quality versus standard food as well as the effects of different housing conditions on both types of flexibility. Our results show that mice that experienced a poorer diet under seminatural conditions showed greater behavioural but not cognitive flexibility. For cage-housed mice, the results were less clear. However, mice fed a poorer diet performed better in innovative problem-solving, thus showing enhanced cognitive flexibility, which was not apparent in the reversal learning paradigm. The observed differences were most likely due to differences in motivation to obtain food rewards. Additionally, animals on poorer diet had lower brain volume, usually related to lower cognitive task performance at the between-species level. Thus, our study emphasises the importance of environmental conditions on behavioural flexibility at the within-species level, highlights that different test paradigms may lead to different conclusions, and finally shows that cage housing of wild animals may lead to patterns that do not necessarily reflect natural conditions.
Evaluation of core Biomarkers of Alzheimer’s disease in saliva and plasma measured by chemiluminescent enzyme immunoassays on a fully automated platform
Authors: Agnello Luisa , Giglio Rosaria Vincenza , Del Ben Fabio , Piccoli Tommaso , Colletti Tiziana , Scazzone Concetta , Lo Sasso Bruna , Ciaccio Anna Maria , Gambino Caterina Maria , Salemi Giuseppe , Ciaccio Marcello 
Published: July 2024

AbstractCerebrospinal fluid (CSF) core biomarkers of Alzheimer’s disease (AD), including amyloid peptide beta-42 (Aβ42), Aβ42/40 ratio, and phosphorylated tau (pTau), are precious tools for supporting AD diagnosis. However, their use in clinical practice is limited due to the invasiveness of CSF collection. Thus, there is intensive research to find alternative, noninvasive, and widely accessible biological matrices to measure AD core biomarkers. In this study, we measured AD core biomarkers in saliva and plasma by a fully automated platform. We enrolled all consecutive patients with cognitive decline. For each patient, we measured Aβ42, Aβ40, and pTau levels in CSF, saliva, and plasma by Lumipulse G1200 (Fujirebio). We included forty-two patients, of whom 27 had AD. Levels of all biomarkers significantly differed in the three biofluids, with saliva having the lowest and CSF the highest levels of Aβ42, Aβ40, and pTau. A positive correlation of pTau, Aβ42/40 ratio, and pTau/Aβ42 ratio levels in CSF and plasma was detected, while no correlation between any biomarker in CSF and saliva was found. Our findings suggest that plasma but not saliva could represent a surrogate biofluid for measuring core AD biomarkers. Specifically, plasma Aβ42/40 ratio, pTau/Aβ42 ratio, and pTau could serve as surrogates of the corresponding CSF biomarkers.
Targeting soluble amyloid-beta oligomers with a novel nanobody
Authors: Haynes Justin R. , Whitmore Clayton A. , Behof William J. , Landman Charlotte A. , Ong Henry H. , Feld Andrew P. , Suero Isabelle C. , Greer Celeste B. , Gore John C. , Wijesinghe Printha , Matsubara Joanne A. , Wadzinski Brian E. , Spiller Benjamin W. , Pham Wellington 
Published: July 2024

AbstractThe classical amyloid cascade hypothesis postulates that the aggregation of amyloid plaques and the accumulation of intracellular hyperphosphorylated Tau tangles, together, lead to profound neuronal death. However, emerging research has demonstrated that soluble amyloid-β oligomers (SAβOs) accumulate early, prior to amyloid plaque formation. SAβOs induce memory impairment and disrupt cognitive function independent of amyloid-β plaques, and even in the absence of plaque formation. This work describes the development and characterization of a novel anti-SAβO (E3) nanobody generated from an alpaca immunized with SAβO. In-vitro assays and in-vivo studies using 5XFAD mice indicate that the fluorescein (FAM)-labeled E3 nanobody recognizes both SAβOs and amyloid-β plaques. The E3 nanobody traverses across the blood–brain barrier and binds to amyloid species in the brain of 5XFAD mice. Imaging of mouse brains reveals that SAβO and amyloid-β plaques are not only different in size, shape, and morphology, but also have a distinct spatial distribution in the brain. SAβOs are associated with neurons, while amyloid plaques reside in the extracellular matrix. The results of this study demonstrate that the SAβO nanobody can serve as a diagnostic agent with potential theragnostic applications in Alzheimer’s disease.
Estimation of irrigated crop artificial irrigation evapotranspiration in China
Authors: Gao Han , Liu Jiahong , Wang Hao , Mei Chao , Wang Jia 
Published: July 2024

AbstractAgriculture water use accounts for 70% of the total water withdrawal worldwide. The evapotranspiration during crop growth is one of the important hydrological processes in the agricultural water cycle. This study proposed the concept of artificial irrigation evapotranspiration of irrigated crops to describe that the evapotranspiration caused by irrigation water use. Irrigated crops rely on two kinds of water sources: precipitation and irrigation water. With the construction of irrigation schemes, the artificial irrigation evapotranspiration plays an increasingly important role in the dualistic water cycle system of irrigated cropland. To reveal the amount of artificial irrigation evapotranspiration of 17 categories of irrigated crops in China, this study proposed a new quantitative model system which was established based on traditional evapotranspiration models and soil water balance models. Based on the new model system, we calculated the annual artificial irrigation evapotranspiration of irrigated crops for the period 2013 to 2017 in China. The results showed that the proportion of artificial irrigation evapotranspiration to the total evapotranspiration of irrigated crops was 41.3%, whose value was 228.1 km3 a−1. The artificial irrigation evapotranspiration in different agricultural water management regions were 90.0 km3 a−1 in the northeast region, 86.0 km3 a−1 in the southeast region, and relatively low 52.2 km3a−1 in the west region. The results of this study can provide methods for water management and policy–making in agricultural irrigated areas, and it can also provide a preliminary understanding of the influence of human activities on the dualistic water cycle in cropland.
Fabrication of ECM protein coated hollow collagen channels to study peripheral nerve regeneration
Authors: Tusnim Jarin , Budharaju Karthik , Grasman Jonathan M. 
Published: July 2024

AbstractPeripheral nerve injury is a prevalent clinical problem that often leads to lifelong disability and reduced quality of life. Although peripheral nerves can regenerate, recovery after severe injury is slow and incomplete. The current gold standard treatment, autologous nerve transplantation, has limitations including donor site morbidity and poor functional outcomes, highlighting the need for improved repair strategies. We developed a reproducible in vitro hollow channel collagen gel construct to investigate peripheral nerve regeneration (PNR) by exploring the influence of key extracellular matrix (ECM) proteins on axonal growth and regeneration. Channels were coated with ECM proteins: collagen IV, laminin, or fibronectin and seeded with dorsal root ganglia (DRG) collected from E16 rat embryos to compare the ability of the ECM proteins to enhance axonal growth. Robust axonal extension and Schwann cell (SC) infiltration were observed in fibronectin-coated channels, suggesting its superiority over other ECM proteins. Differential effects of ECM proteins on axons and SCs indicated direct growth stimulation beyond SC-mediated guidance. In vitro laceration injury modeling further confirmed fibronectin’s superior pro-regenerative effects, showcasing its potential in enhancing axonal regrowth post-injury. Advancing in vitro modeling that closely replicates native microenvironments will accelerate progress in overcoming the limitations of current nerve repair approaches.
Bi-directional context-aware network for the nested named entity recognition
Authors: Li Yao , Liao Ningsheng , Yan He , Zhang Ye , Wang Xu 
Published: July 2024

AbstractThe Span-based model can effectively capture the complex entity structure in the text, thus becoming the mainstream model for nested named entity recognition (Nested NER) tasks. However, traditional Span-based models decode each entity span independently. They do not consider the semantic connections between spans or the entities’ positional information, which limits their performance. To address these issues, we propose a Bi-Directional Context-Aware Network (Bi-DCAN) for the Nested NER. Specifically, we first design a new span-level semantic relation model. Then, the Bi-DCAN is implemented to capture this semantic relationship. Furthermore, we incorporate Rotary Position Embedding into the bi-affine mechanism to capture the relative positional information between the head and tail tokens, enabling the model to more accurately determine the position of each entity. Experimental results show that compared to the latest model Diffusion-NER, our model reduces 20M parameters and increases the F1 scores by 0.24 and 0.09 on the ACE2005 and GENIA datasets respectively, which proves that our model has an excellent ability to recognise nested entities.
Divergent histopathological and molecular patterns in chemically induced interstitial cystitis/bladder pain syndrome rat models
Authors: Chang Ya-Chuan , Yu Chia-Ying , Dong Chen , Chen Sung-Lang , Sung Wen-Wei 
Published: July 2024

AbstractInterstitial cystitis/bladder pain syndrome (IC/BPS) is a complex chronic pain disorder with an elusive etiology and nonspecific symptoms. Although numerous animal models with phenotypes similar to human disease have been established, no available regimen can consistently alleviate clinical symptoms. This dilemma led us to question whether current animal models adequately represent IC/BPS. We compared four commonly used IC/BPS rat models to determine their diverse histopathological and molecular patterns. Female rats were given single treatments with hydrochloric acid (HCL), acetic acid (AA), protamine sulfate plus lipopolysaccharide (PS + LPS), or cyclophosphamide (CYP) to induce IC/BPS. Bladder sections were stained for histopathologic evaluation, and mRNA expression profiles were examined using next-generation sequencing and gene set analyses. Mast cell counts were significantly higher in the HCL and AA groups than in the PS + LPS, CYP, and control groups, but only the AA group showed significant collagen accumulation. The models differed substantially in terms of their gene ontology and Kyoto encyclopedia of genes and genomes pathways. Our observations suggest that none of these rat models fully reflects the complexity of IC/BPS. We recommend that future studies apply and compare multiple models simultaneously to fully replicate the complicated features of IC/BPS.
The effects of online pilates on the mood and fear of birth of pregnant women: a randomized controlled study
Authors: Bulguroglu Merve , Bulguroglu Halil I. 
Published: July 2024

AbstractThe Pilates exercise method is applied online to various population groups. This study aimed to determine the effect of online Pilates exercises on depression, anxiety, and fear of childbirth in pregnant women. Our randomized controlled study divided participants into the online pilates group (OPG) and the control group (CG). Pilates exercises were applied to the OPG according to the American College of Obstetricians and Gynecologists guidelines, while the CG was given a home program. Assessments were made before and after the training. All measurements improved after Online Pilates (p < 0.05), while there was no change in the control group (p > 0.05). While initial measurement values were similar in both groups (p > 0.05), a statistical difference was observed in favor of OPG with a moderate effect percentage in all results after training (p < 0.05). These results revealed that eight weeks of online Pilates training could effectively reduce depression, anxiety, and fear of childbirth.Trial registration:Clinical trial registry: NCT05305716.
Synthetic $${{\mathbb{Z}}}_{2}$$ gauge theories based on parametric excitations of trapped ions
Authors: Bǎzǎvan Oana , Saner Sebastian , Tirrito Emanuelle , Araneda Gabriel , Srinivas Raghavendra , Bermudez Alejandro 
Published: July 2024

AbstractResource efficient schemes for the quantum simulation of lattice gauge theories can benefit from hybrid encodings of gauge and matter fields that use the native degrees of freedom, such as internal qubits and motional phonons in trapped-ion devices. We propose to use a parametric scheme to induce a tunneling of the phonons conditioned to the internal qubit state which, when implemented with a single trapped ion, corresponds to a minimal $${{\mathbb{Z}}}_{2}$$

Z

2

gauge theory. To evaluate the feasibility of this scheme, we perform numerical simulations of the state-dependent tunneling using realistic parameters, and identify the leading sources of error in future experiments. We discuss how to generalize this minimal case to more complex settings by increasing the number of ions, moving from a single link to a $${{\mathbb{Z}}}_{2}$$

Z

2

plaquette, and to an entire $${{\mathbb{Z}}}_{2}$$

Z

2

chain. We present analytical expressions for the gauge-invariant dynamics and the corresponding confinement, which are benchmarked using matrix product state simulations.
Strain-tuned incompatible magnetic exchange-interaction in La2NiO4
Authors: Biało Izabela , Martinelli Leonardo , De Luca Gabriele , Worm Paul , Drewanowski Annabella , Jöhr Simon , Choi Jaewon , Garcia-Fernandez Mirian , Agrestini Stefano , Zhou Ke-Jin , Kummer Kurt , Brookes Nicholas B. , Guo Luo , Edgeton Anthony , Eom Chang B. , Tomczak Jan M. , Held Karsten , Gibert Marta , Wang Qisi , Chang Johan 
Published: July 2024

AbstractMagnetic frustration is a route for novel ground states, including spin liquids and spin ices. Such frustration can be introduced through either lattice geometry or incompatible exchange interactions. Here, we find that epitaxial strain is an effective tool for tuning antiferromagnetic exchange interactions in a square-lattice system. By studying the magnon excitations in La2NiO4 films using resonant inelastic x-ray scattering, we show that the magnon displays substantial dispersion along the antiferromagnetic zone boundary, at energies that depend on the lattice of the film’s substrate. Using first principles simulations and an effective spin model, we demonstrate that the antiferromagnetic next-nearest neighbour coupling is a consequence of the two-orbital nature of La2NiO4. Altogether, we illustrate that compressive epitaxial strain enhances this coupling and, as a result, increases the level of incompatibility between exchange interactions within a model square-lattice system.
Tumor evolution metrics predict recurrence beyond 10 years in locally advanced prostate cancer
Authors: Fernandez-Mateos Javier , Cresswell George D. , Trahearn Nicholas , Webb Katharine , Sakr Chirine , Lampis Andrea , Stuttle Christine , Corbishley Catherine M. , Stavrinides Vasilis , Zapata Luis , Spiteri Inmaculada , Heide Timon , Gallagher Lewis , James Chela , Ramazzotti Daniele , Gao Annie , Kote-Jarai Zsofia , Acar Ahmet , Truelove Lesley , Proszek Paula , Murray Julia , Reid Alison , Wilkins Anna , Hubank Michael , Eeles Ros , Dearnaley David , Sottoriva Andrea 
Published: July 2024

AbstractCancer evolution lays the groundwork for predictive oncology. Testing evolutionary metrics requires quantitative measurements in controlled clinical trials. We mapped genomic intratumor heterogeneity in locally advanced prostate cancer using 642 samples from 114 individuals enrolled in clinical trials with a 12-year median follow-up. We concomitantly assessed morphological heterogeneity using deep learning in 1,923 histological sections from 250 individuals. Genetic and morphological (Gleason) diversity were independent predictors of recurrence (hazard ratio (HR) = 3.12 and 95% confidence interval (95% CI) = 1.34–7.3; HR = 2.24 and 95% CI = 1.28–3.92). Combined, they identified a group with half the median time to recurrence. Spatial segregation of clones was also an independent marker of recurrence (HR = 2.3 and 95% CI = 1.11–4.8). We identified copy number changes associated with Gleason grade and found that chromosome 6p loss correlated with reduced immune infiltration. Matched profiling of relapse, decades after diagnosis, confirmed that genomic instability is a driving force in prostate cancer progression. This study shows that combining genomics with artificial intelligence-aided histopathology leads to the identification of clinical biomarkers of evolution.
Tidal and seasonal influence on cold seep activity and methanotroph efficiency in the North Sea
Authors: de Groot Tim R. , Menoud Malika , van Bleijswijk Judith , van Leeuwen Sonja M. , van der Molen J. , Hernando-Morales Victor , Czerski Helen , Maazallahi Hossein , Walter Sylvia , Rush Darci , Röckmann Thomas , Niemann Helge 
Published: July 2024

AbstractThe ocean’s methane emission to the atmosphere is dominated by continental shelves where cold seeps are globally common features. Seeps emit methane into the hydrosphere, but temporal variations and controls of seep activity and the efficiency of the microbial methane filter in the water column are scarce. Here we address these knowledge gaps by measuring whole water column methane inventories and methanotrophic activity at a temporal resolution of 2 hours at a North Sea cold seep (Doggerbank) in summer and autumn. We found that bottom water methane inventories were 68% (summer) and 11% (autumn) higher during low tide compared to high tide coinciding with increased methanotrophic activity. The activity of methanotrophs was reduced during autumn when the water column was fully mixed and matched by higher methane emissions to the atmosphere. Our results show that tides are underappreciated controls on seepage and methanotrophic activity and methane sea–atmosphere fluxes.
Severe droughts reduce river navigability and isolate communities in the Brazilian Amazon
Authors: Santos de Lima Letícia , Silva Francisco Eustáquio Oliveira e , Dorio Anastácio Paula Rosana , Kolanski Marina Marcela de Paula , Pires Pereira Ana Carolina , Menezes Marianne Stéfany Resende , Cunha Evandro Landulfo Teixeira Paradela , Macedo Marcia Nunes 
Published: July 2024

AbstractThe Amazon basin is experiencing severe droughts that are expected to worsen with climate change. Riverine communities are especially vulnerable to these extreme events. This study investigates the experiences of Brazilian Amazonian communities during droughts occurring from 2000-2020. We assess the distribution of settlements at risk of prolonged isolation during extreme low-water periods, along with impacts reported in digital news outlets. Using historic time series of river levels from 90 gauges, we look at how long droughts lasted in regions with reported impacts. Results indicate that the droughts in 2005, 2010, and 2016 were the most severe, with over an additional month of low water levels in those years. Such drought events routinely disrupt inland water transport and isolate local populations, limiting access to essential goods (food, fuel, medicine) and basic services (healthcare, education). Given this new reality, Amazon countries must develop long-term strategies for mitigation, adaptation, and disaster response.
Crash-perching on vertical poles with a hugging-wing robot
Authors: Askari Mohammad , Benciolini Michele , Phan Hoang-Vu , Stewart William , Ijspeert Auke J. , Floreano Dario 
Published: July 2024

AbstractPerching with winged Unmanned Aerial Vehicles has often been solved by means of complex control or intricate appendages. Here, we present a method that relies on passive wing morphing for crash-landing on trees and other types of vertical poles. Inspired by the adaptability of animals’ and bats’ limbs in gripping and holding onto trees, we design dual-purpose wings that enable both aerial gliding and perching on poles. With an upturned nose design, the robot can passively reorient from horizontal flight to vertical upon a head-on crash with a pole, followed by hugging with its wings to perch. We characterize the performance of reorientation and perching in terms of impact speed and angle, pole material, and size. The robot robustly reorients at impact angles above 15° and speeds of 3 m ⋅ s−1 to 9 m ⋅ s−1, and can hold onto various pole types larger than 28% of its wingspan in diameter. We demonstrate crash-perching on tree trunks with an overall success rate of 73%. The method opens up new possibilities for the use of aerial robots in applications such as inspection, maintenance, and biodiversity conservation.