bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uncertainty quantification for conical hole expansion test of DP800 sheet metal
Authors: Pham Quoc Tuan , Barlo Alexander , Islam Md Shafiqul , Sigvant Mats , Pilthammar Johan , Caro Lluís Pérez , Kesti Vili 
Published: December 2024

AbstractThe hole expansion ratio (HER) observed in a standardized hole expansion test (HET) is commonly used to determine the edge fracture of steel sheets. A large variation of the measured HER restricts the practical application of the method. This study presents a systematic investigation on uncertainties in the HER of DP800 sheet material, including the hole-edge quality, pre-strain due to the hole-punching process, the friction coefficient, and the determination of fracture. An artificial neural network was trained to develop a surrogate model using a database gained from a thousand finite element simulations of the HET. Monte-Carlo simulations were performed using the trained surrogate model to characterize the distribution of the HER. Sensitivity analysis via Sobol’s indices is calculated to determine the influence of the input variables on the output. It is found that the pre-strain and pre-damage generated during the hole punching process in the shear-affected zone dominate the variation of the HER. Discussions on reducing the output’s variation are detailed. In general, these findings provide valuable insights for the determination of HER as well as the edge crack behavior of the investigated DP800 steel sheet.
SNGNN2D-v2: A GNN-Based Model for the Generation of Human-Aware Cost Maps in Dynamic Environments
Authors: Rodriguez-Criado Daniel , Bachiller-Burgos Pilar , Calderita Luis V. , Manso Luis J. 
Published: December 2024

AbstractNavigating dynamic, human-populated environments is a critical challenge for mobile robots, as they must balance effective pathfinding with minimizing social disruption. Cost maps can combine information from different nature and are more interpretable than final control signals. This paper addresses the generation of real-time cost maps in human-aware navigation (HAN) by introducing SNGNN2D-v2, a graph neural network designed and trained to capture social interactions and respond to dynamic elements in human-populated environments. SNGNN2D-v2 is evaluated through three types of experiments. The first involves deploying a real robot in a controlled indoor environment and assessing the disturbance caused by the robot when driven by the model. The second experiment tests the proposed model under more complex and unfavorable conditions using simulated environments. Both experiments include a comparison with other proposals using social and navigation metrics. The third experiment compares SNGNN2D-v2 with an end-to-end CNN-based method to evaluate how models generalize across changes in the appearance of the environment and its elements. The results from these experiments suggest that SNGNN2D-v2 is an effective model for human-aware cost map generation for dynamic environments. Its ability to capture dynamic information, generalize across scenarios with different appearances, and represent social interactions could contribute to the development of human-friendly robots.
Extracellular nicotinamide phosphoribosyltransferase visfatin activates JAK2-STAT3 pathway in cancer-associated fibroblasts to promote colorectal cancer metastasis
Authors: Lei Yun , Shu Dan , Xia Jianyu , Zhang Tao , Wei He 
Published: December 2024

Abstract
Background
Metastasis is one of the major challenges in the treatment of colorectal cancer (CRC), during which cancer-associated fibroblasts (CAFs) in the tumor microenvironment are critically involved.

Objective
In this study, we aim to explore the regulatory role of extracellular nicotinamide phosphoribosyltransferase Visfatin and its impact on CRC metastasis.

Methods
To examine the effect of visfatin on CAFs, human CRC tissue-derived CAFs were exposed to visfatin, and the expression of inflammatory factors, activation of JAK-STAT pathway and production of ROS in CAFs were assessed. To examine the effect of visfatin-treated CAFs on CRC metastasis, human CRC cell line SW480 or SW620 were cultured with the conditioned medium derived from visfatin-treated CAFs, and the invasion and migration ability of SW480 or SW620 cells were evaluated by transwell migration and matrigel invasion assays.

Results
Our previous study found that visfatin, a secreted form of nicotinamide phosphoribosyltransferase that governs the rate-limiting step of NAD synthesis, promoted CRC metastasis. However, little is known about the effect of visfatin on CAFs. The conditioned medium derived from visfatin- treated CAFs promotes the migratory and invasive capability of CRC cells, and enhance lung metastasis in mouse model. Visfatin treatment stimulated the expression of a couple of inflammatory factors in CAFs, which was mediated by visfatin-induced activation of JAK- STAT pathway and accumulation of ROS. Inhibition of JAK-STAT pathway or neutralization of cellular ROS attenuated visfatin-mediated migration and invasion of CRC cells.

Conclusions
The present work highlights a critical role of visfatin in the crosstalk between CRC cells and CAFs, which moonlight as a non-metabolic extracellular signal molecule to hijacks JAK-STAT pathway in CAFs to promote CRC metastasis.
The immune mechanism of the mTOR/ACC1/CPT1A fatty acid oxidation signaling pathway in Hashimoto’s thyroiditis
Authors: Zhang Lu , He Mengfan , Liu Yanyan , Wang Baohua , Xie Xingjie , Liu Haixia 
Published: December 2024

Abstract
Background
Hashimoto’s thyroiditis (HT) is the most common autoimmune thyroid disease (AITD), which is distinguished by high thyroid peroxidase antibody (TPOAb) or thyroglobulin antibody (TgAb). The differentiation of CD4+T cell subsets in patients with HT is imbalanced, with Treg cells decreased and Th17 cells abnormally activated. Fatty acid oxidation supports the differentiation of Th17 cells and induces inflammation, but the specific mechanism is still unknown. This study aimed to explore the role of fatty acid oxidation and its pathway in the pathogenesis of autoimmune thyroiditis and the immune mechanism.

Methods
In in vitro experiments, a total of 60 HT patients and 20 healthy controls were selected and their CD4+T cells were sorted by magnetic beads. All 80 samples were divided into 4 groups on average: HC group (Healthy control group), HT group (Hashimoto thyroiditis CD4+T cell inactive group), TCC group(Hashimoto thyroiditis CD4+T cell activation), TCC + ETO group(Hashimoto thyroiditis CD4+T cell activation + Etomoxir group). In in vivo experiments, the mice were randomly divided into 3 groups: Con group(Control group), mTg group (CBA/J mice were injected with mTg for modeling, that is EAT mice group), and mTg + ETO group (Etomoxir intervention in EAT mice group). Fatty acid oxidation substrates of CD4+T cells in human peripheral blood were detected by targeted metabolomics. The expressions of key fatty acid oxidation proteins mTOR, ACC1 and CPT1A were detected by Western blotting. The proportion of CD4+T cell subtype differentiation in human and mouse models was detected by flow cytometry. The severity of EAT was detected by HE staining.

Results
Compared with healthy controls, the level of CPT1A in CD4+T cells of HT patients was increased, and the intracellular fatty acid content was significantly decreased, indicating that the level of fatty acid oxidation was enhanced in HT patients. After adding Etomoxir, the level of fatty acid oxidation was significantly inhibited, and the imbalance of CD4+T cell subpopulation differentiation in HT patients was reversed. In EAT mice, the mTOR/ACC1/CPT1A pathway was significantly activated, and its expression level was decreased after adding Etomoxir. At the same time, Etomoxir could reverse the reprogramming of abnormal metabolism in EAT mice cells, reduce the spleen index, and improve lymphocyte infiltration in the thyroid.

Conclusions
The mTOR/ACC1/CPT1A fatty acid oxidation pathway of CD4+T cells in Hashimoto’s thyroiditis was increased, and treatment with Etomoxir could inhibit the activation of this pathway, and reverse the reprogramming of abnormal metabolism in CD4+T cells, thereby reducing Hashimoto’s thyroiditis.
Chain-structured neural architecture search for financial time series forecasting
Authors: Levchenko Denis , Rappos Efstratios , Ataee Shabnam , Nigro Biagio , Robert-Nicoud Stephan 
Published: December 2024

AbstractNeural architecture search (NAS) emerged as a way to automatically optimize neural networks for a specific task and dataset. Despite an abundance of research on NAS for images and natural language applications, similar studies for time series data are lacking. Among NAS search spaces, chain-structured are the simplest and most applicable to small datasets like time series. We compare three popular NAS strategies on chain-structured search spaces: Bayesian optimization (specifically Tree-structured Parzen Estimator), the hyperband method, and reinforcement learning in the context of financial time series forecasting. These strategies were employed to optimize simple well-understood neural architectures like the MLP, 1D CNN, and RNN, with more complex temporal fusion transformers (TFT) and their own optimizers included for comparison. We find Bayesian optimization and the hyperband method performing best among the strategies, and RNN and 1D CNN best among the architectures, but all methods were very close to each other with a high variance due to the difficulty of working with financial datasets. We discuss our approach to overcome the variance and provide implementation recommendations for future users and researchers.
Prevalence of depressive symptoms, suicidal ideation and behaviours in young people presenting with a first episode of psychosis
Authors: FitzPatrick Patrick , Brown Ellie , Street Rebekah , O’Donoghue Brian 
Published: December 2024

Abstract

Objectives:
Suicide accounts for a proportion of the early mortality in people affected by psychotic disorders. The early phase of illness can represent a particularly high-risk time for suicide. Therefore, in a cohort of young people presenting with first-episode psychosis, this study aimed to determine: (i) the prevalence of suicidal ideation, intent with plan and self-harm and any associated demographic or clinical factors and (ii) the prevalence of depressive symptoms and any associated demographic or clinical factors.

Methods:
Young people with a first episode of psychosis attending the Early Psychosis Prevention and Intervention Centre in Melbourne were included. Suicidal behaviours were recorded using a structured risk assessment – ‘Clinical Risk Assessment and Management in the Community’, and depressive symptoms were measured using the PHQ-9.

Results:
A total of 355 young people were included in the study. 57.2% were male, 95.4% were single and over one quarter were migrants. At the time of presentation, 34.6% had suicidal ideation, 6.2% had suicidal intent with a plan, and 21.4% had engaged in self-harm before their presentation. Combined, 39.7% (n = 141) presented with suicidal ideation, intent with plan or self-harm. A total of 71.5% (n = 118) had moderately severe or severe depressive symptoms, which was strongly associated with suicidal ideation or behaviours at the time of presentation (OR = 4.21, 95% C.I. 2.10–8.44).

Conclusions:
Depressive symptoms, self-harm and suicidal behaviours are commonly present in the early phases of a psychotic disorder, which has important clinical implications for assessment and management.
Prolate spheroids settling in a quiescent fluid: clustering, microstructures and collisions
Authors: Jiang Xinyu , Xu Chunxiao , Zhao Lihao 
Published: December 2024

In this study we investigate the sedimentation of prolate spheroids in a quiescent fluid by means of the particle-resolved direct numerical simulation. With the increase of the particle volume fraction

$\phi$

from

$0.1\,\%$

to

$10\,\%$

, we observe a non-monotonic variation of the mean settling velocity of particles,

$\langle V_s \rangle$

. By virtue of the Voronoi analysis, we find that the degree of particle clustering is highest when

$\langle V_s \rangle$

reaches the local maximum at

$\phi =1\,\%$

. Under the swarm effect, clustered particles are found to preferentially sample downward fluid flows in the wake regions, leading to the enhancement of the settling speed. As for lower or higher volume fractions, the tendency of particle clustering and the preferential sampling of downward flows are attenuated. The hindrance effect becomes predominant when the volume fraction exceeds 5 % and reduces

$\langle V_s \rangle$

to less than the isolated settling velocity. Particle orientation plays a minor role in the mean settling velocity, although individual prolate particles still tend to settle faster in suspensions when they deviate more from the broad-side-on alignment. Moreover, we also demonstrate that particles are prone to form column-like microstructures in dilute suspensions under the effect of wake-induced hydrodynamic attractions. The radial distribution function is higher at a lower volume fraction. As a result, the collision rate scaled by the particle number density decreases with the increasing volume fraction. By contrast, as another contribution to the particle collision rate, the relative radial velocity for nearby particles shows a minor degree of variation due to the lubrication effect.
Semi-empirical calibration of the oxygen abundance for LINER galaxies based on SDSS-IV MaNGA – The case for strong and weak AGN
Authors: Oliveira Celso B. , Dors Oli , Zinchenko Igor , Cardaci Monica , Hägele Guillermo , Morais Istenio , Santos Pedro , Almeida Gleicy 
Published: December 2024

Abstract
In this paper, we present a semi-empirical calibration between the oxygen abundance and the N2 emission-line ratio for low ionisation nuclear emission regions (LINERs). This relation was derived by comparing the optical spectroscopic data of 118 nuclear spaxels classified as LINERs using three different BPT diagrams from the Mapping Nearby Galaxies survey (MaNGA) and sub-classified as weak (wAGN, 84 objects) and strong (sAGN, 34 objects) active galactic nucleus (AGN) from the WHAN diagnostic diagram and photoionisation model results obtained with the cloudy code assuming gas accretion into a black hole (representing an AGN). We found that our wAGN LINERs exhibit an oxygen abundance in the range of

$8.50 \lesssim \mathrm{12+\log(O/H)} \lesssim 8.90 $

, with an average value of

$\mathrm{12+\log(O/H)}=8.68$

, while our sAGN LINERs exhibit an oxygen abundance in the range of

$8.51 \lesssim \: \mathrm{12+\log(O/H)} \: \lesssim \: 8.81 $

, with an average value of

$\mathrm{12+\log(O/H)}=8.65$

. Our abundance estimations are in good agreement with those derived for another two different samples one of them with 463 Seyfert 2 objects and the other with 43 LINERs galaxies ionised by post-AGB stars, showing that the assumptions of our models are likely suitable for wAGN and sAGN LINERs. A relation between the equivalent width of the observed H

$\alpha$

emission-line and the estimated ionisation parameter provided by models was obtained. Our results also suggest that LINERs does not show a clear correlation between oxygen abundances and the stellar mass of the hosting galaxies.
Strategy for mitigation of systematics for EoR experiments with the Murchison Widefield Array
Authors: Nunhokee Chuneeta D. , Null Dev , Trott Cathryn , Jordan Christopher , Line Jack Laurence Bramble , Wayth Randall Bruce , Barry Nichole 
Published: December 2024

Abstract
Observations of the 21 cm signal face significant challenges due to bright astrophysical foregrounds that are several orders of magnitude higher than the brightness of the hydrogen line, along with various systematics. Successful 21 cm experiments require accurate calibration and foreground mitigation. Errors introduced during the calibration process such as systematics can disrupt the intrinsic frequency smoothness of the foregrounds, leading to power leakage into the Epoch of Reionisation window. Therefore, it is essential to develop strategies to effectively address these challenges. In this work, we adopt a stringent approach to identify and address suspected systematics, including malfunctioning antennas, frequency channels corrupted by radio frequency interference, and other dominant effects. We implement a statistical framework that utilises various data products from the data processing pipeline to derive specific criteria and filters. These criteria and filters are applied at intermediate stages to mitigate systematic propagation from the early stages of data processing. Our analysis focuses on observations from the Murchison Widefield Array Phase I configuration. Out of the observations processed by the pipeline, our approach selects 18%, totalling 58 h, that exhibit fewer systematic effects. The successful selection of observations with reduced systematic dominance enhances our confidence in achieving 21 cm measurements.
A record of the ocellated shrimp goby, Tomiyamichthys russus (Cantor, 1849) (Gobiiformes: Gobiidae) from peninsular India
Authors: Sureandiran B. , Karuppasamy K. , Mahadevan G. , Suyani N. K. 
Published: December 2024

Abstract
The ocellated shrimp goby, Tomiyamichthys russus was recorded from peninsular India based on a single specimen from Royapuram Fishing Harbour (13°07′24.49′′ N; 80°17′52.20′′E), Chennai, Southeast coast of India. The specimen was identified as the ocellated shrimp goby, T. russus by identification characteristics such as crosswise rows of small orange spots surrounded by minute dull black circles in the post-orbital and pre-dorsal region; posterior area of the gill membrane orange; operculum with pale violet traces. The morphometric characteristics were compared with the previous reports of ocellated shrimp goby. The present finding is the documentation of rare ocellated shrimp goby from the peninsular Indian coast.
A 2D-LiDAR-based localization method for indoor mobile robots using correlative scan matching
Authors: Du Song , Chen Tao , Lou Zhonghui , Wu Yijie 
Published: December 2024

Abstract
Precise pose estimation is crucial to various robots. In this paper, we present a localization method using correlative scan matching (CSM) technique for indoor mobile robots equipped with 2D-LiDAR to provide precise and fast pose estimation based on the common occupancy map. A pose tracking module and a global localization module are included in our method. On the one hand, the pose tracking module corrects accumulated odometry errors by CSM in the classical Bayesian filtering framework. A low-pass filter associating the predictive pose from odometer with the corrected pose by CSM is applied to improve precision and smoothness of the pose tracking module. On the other hand, our localization method can autonomously detect localization failures with several designed trigger criteria. Once a localization failure occurs, the global localization module can recover correct robot pose quickly by leveraging branch-and-bound method that can minimize the volume of CSM-evaluated candidates. Our localization method has been validated extensively in simulated, public dataset-based, and real environments. The experimental results reveal that the proposed method achieves high-precision, real-time pose estimation, and quick pose retrieve and outperforms other compared methods.
Everyday Social Support for Health Behaviours in Older Adults during Times of Challenge: Evidence from Daily Life Assessments
Authors: Zambrano Garza Elizabeth , Pauly Theresa , Choi Yoonseok , Murphy Rachel A. , Linden Wolfgang , Ashe Maureen C. , Madden Kenneth M. , Jakobi Jennifer M. , Gerstorf Denis , Hoppmann Christiane A. 
Published: December 2024

Abstract
The COVID-19 pandemic challenged older adults’ health behaviours, making it even more difficult to engage in healthy diets and physical activity than it had been prepandemic. A resource to promote these could be social support. This study uses data from 136 older adults (Mage = 71.39 years, SD = 5.15, range: 63–87) who reported their daily fruit and vegetable consumption, steps, and health-behaviour-specific support from a close other every evening for up to 10 consecutive days. Findings show that on days when participants reported more emotional support than usual, fruit and vegetable consumption and step counts were higher. Daily instrumental support was positively associated with step counts, only. Participants receiving more overall emotional support across the study period consumed more fruit and vegetables; no parallel person-level association was found for overall steps. There were no significant interactions between dyad type and support links for our outcomes.
Testing family-of-origin sensitization: Parent-adolescent conflict, emotional reactivity, and adolescent internalizing psychopathology
Authors: Chiang Shou-Chun , Bai Sunhye 
Published: December 2024

Abstract
Building on the sensitization hypothesis, the present work aimed to examine how parent-adolescent conflict might be associated with heightened emotional reactivity to peer conflicts, which in turn shape the development of adolescent internalizing psychopathology. Participants were 108 Taiwanese adolescents between the ages of 18 and 19 (Mage = 18.53, SDage = 0.39; 64% female) who completed baseline assessments, 14-day daily surveys, and 6-month follow-up assessments. Emotional reactivity was measured by calculating the daily association between peer conflict and positive and negative emotions. Results indicated that greater baseline parent-adolescent conflict was associated with higher negative emotional reactivity to peer conflicts, which then predicted increased depressive symptoms and anxiety symptoms 6 months later. Moreover, greater positive emotional reactivity to peer conflicts (i.e., more declines in positive emotions in response to peer conflicts) predicted increased depressive symptoms. Thus, the findings of the current study support and extend the sensitization hypothesis and suggest that parent-adolescent conflict may contribute to family-of-origin sensitization in non-familial, interpersonal contexts. The results have key implications for understanding adolescent developmental psychopathology associated with family conflicts and emotional reactivity.
Neural response to errors among mothers with a history of recurrent depression and their adolescent daughters
Authors: Morand-Beaulieu Simon , Banica Iulia , Freeman Clara , Ethridge Paige , Sandre Aislinn , Weinberg Anna 
Published: December 2024

Abstract
Depression is transmitted within families, but the mechanisms involved in such transmission are not clearly defined. A potential marker of familial risk is the neural response to errors, which may play a role in depression symptoms and is known to be partially heritable. Here, 97 mother-daughter dyads completed a Flanker task while electroencephalography markers of error monitoring were recorded: the error-related negativity (ERN) and response-locked delta and theta power. We assessed whether these measures of neural response to errors 1) were associated with history of recurrent major depressive disorder (MDD) and current depression symptoms among mothers, 2) were correlated among mother-daughter dyads, and 3) were associated with maternal history of recurrent MDD and maternal symptoms of depression among daughters. A history of recurrent MDD was associated with blunted delta and increased theta among mothers. Across mothers, delta and theta were negatively and positively associated, respectively, with current depression symptoms. Mothers’ and daughters’ ERN were positively correlated. Finally, current maternal depression symptoms were negatively associated with delta power in daughters. These results suggest that neural responses to errors may be implicated in the intergenerational transmission of depression. These results also support the relevance of delta oscillations to understanding pathways to depression.