bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disorganized thalamic subregional functional connectivity in bipolar I disorder
Authors: Long Xipeng , Wang Xiuli , Cao Yuan , Kong Di , Wu Baolin , Xie Hongsheng , Zhao Ziru , Roberts Neil , Gong Qiyong , Jia Zhiyun 
Published: November 2024

AbstractThalamus plays a pivotal role in the pathophysiology of neuropsychiatric conditions due to its strategic position and intricate connectivity with the cerebral cortex, limbic system, and other subcortical structures. In the present study, the potential involvement of the thalamus and subregions of the thalamus are explored in bipolar disorder (BD). In particular, functional and structural magnetic resonance imaging was performed on 73 adult patients with BD‐I and 78 healthy controls (HCs). Seed‐based thalamus and thalamic subregional functional connectivity (FC) were compared between the BD‐I patients and HCs. Compared to HCs, patients with BD‐I showed higher FC between the left thalamus and right lingual gyrus and altered FC between the dorsal thalamus and the default mode network and prefrontal regions, which may be correlated with mania symptomatology. In patients with BD‐I, the anterior subregions of the thalamus had higher FC than the posterior subregions. No significant difference in gray matter volume or local functional activity was found in the thalamus and thalamic subregions between BD‐I and HC. These findings provide evidence of disorganized thalamocortical FC in BD‐I, suggesting that the thalamus and its subregions may play important and specific roles in the neural circuitry of BD.
Targeting the DNA damage response in cancer
Authors: Guffanti Federica , Chiappa Michela , Damia Giovanna 
Published: November 2024

AbstractDNA damage response (DDR) pathway is the coordinated cellular network dealing with the identification, signaling, and repair of DNA damage. It tightly regulates cell cycle progression and promotes DNA repair to minimize DNA damage to daughter cells. Key proteins involved in DDR are frequently mutated/inactivated in human cancers and promote genomic instability, a recognized hallmark of cancer. Besides being an intrinsic property of tumors, DDR also represents a unique therapeutic opportunity. Indeed, inhibition of DDR is expected to delay repair, causing persistent unrepaired breaks, to interfere with cell cycle progression, and to sensitize cancer cells to several DNA‐damaging agents, such as radiotherapy and chemotherapy. In addition, DDR defects in cancer cells have been shown to render these cells more dependent on the remaining pathways, which could be targeted very specifically (synthetic lethal approach). Research over the past two decades has led to the synthesis and testing of hundreds of small inhibitors against key DDR proteins, some of which have shown antitumor activity in human cancers. In parallel, the search for synthetic lethality interaction is broadening the use of DDR inhibitors. In this review, we discuss the state‐of‐art of ataxia‐telangiectasia mutated, ataxia‐telangiectasia‐and‐Rad3‐related protein, checkpoint kinase 1, Wee1 and Polθ inhibitors, highlighting the results obtained in the ongoing clinical trials both in monotherapy and in combination with chemotherapy and radiotherapy.
Playing sport as a central‐line carrier: a survey to collect the European pediatric intestinal failure centers' view
Authors: Pulvirenti Rebecca , Duci Miriam , Lambe Cecile , Mutanen Annika , Arnell Henrik , Tabbers Merit M. , Fascetti‐Leon Francesco ,   The European Reference Network for rare Inherited and Congenital Anomalies (ERNICA)
Published: November 2024

AbstractBackgroundThe administration of home parenteral nutrition improves quality of life for patients with intestinal failure, thus fostering their will to actively participate to social activities. Nevertheless, sports participation can be risky for patients with a central venous catheter (CVC). Despite literature thoroughly proving the positive impact of sports on motor‐psychosocial development, no consistent evidence assessing its role on central‐line complications is available. This study aimed to report the European centers' approach to children with intestinal failure on home parenteral nutrition and interested in playing sports, further assessing complications and how to prevent them.Materials and MethodsA questionnaire focusing on children with intestinal failure regarding physical activity was circulated to 20 centers. Questions assessed the centers' policy for CVC management, the sports‐related recommendations for patients on home parenteral nutrition and complication rates.ResultsSixteen (80%) centers filled in the questionnaire. Twelve centers reported not to have a standardized formal protocol for catheter care during sports. All centers encouraged patients to perform mild/moderate exercise, whereas high‐contact sports were allowed by one center only. Specific dressings were suggested to protect the vascular access device, especially for water sports. Only one sports‐related complication (rupture) was reported.ConclusionThis survey emphasizes that sports should not be restricted in patients with intestinal failure and represents a blueprint for sports‐related recommendations for these patients. Prospective studies assessing complication rates are advisable to ensure an improved access to sports for these patients.
Effective interlaminar toughening of carbon fiber/epoxy composite laminates by extremely low loadings of monolayer graphene oxide
Authors: Gao Chongyang , Mu Binghong , Cheng Shucan , Xu Zhen 
Published: November 2024

AbstractAn interlaminar ultrafine spraying method was proposed for monolayer graphene oxide (GO) modified CFRP nanocomposite laminates. The well‐dispersed monolayer GO nano‐solutions were prepared by multi‐level dispersion and then sprayed on carbon fiber/epoxy prepreg by the ultrafine atomizing technique. A series of GO/CFRP laminate specimens with different GO loadings were fabricated for our fracture toughness tests and SEM characterization. The test results indicated that the Mode I fracture toughness () was enhanced by 140% with quite a low fraction of monolayer GO nanosheets. The distinct toughening effect at such a low level of nano‐contents was attributed to the sufficient quantity of monolayer GO nanosheets and also a uniform distribution, which was found to be more important than the volume/weight fraction as the principal structural parameter. Thus, the proposed interlaminar toughening approach owns the virtues of good effectiveness and especially low cost owing to the largely reduced weight percentage of nanographene, showing a promising potential of industrial scale‐up.Highlights
Proposed an interlaminar ultrafine spraying method for monolayer GO nanosheets.
Found that the quantity of GO nanosheets is vital in polymer toughening.
Realized significant toughening with extremely low loadings of monolayer GO.
Provided a way with high toughening effect and low cost for industrial scale‐up.
Annealing impact on mechanical performance and failure analysis assisted with acoustic inspection of carbon fiber reinforced poly‐ether‐ketone‐ketone composites under flexural and compressive loads
Authors: Elmas Sinem , Atac Buse , Senol Cahit Orhun , Topal Serra , Yildiz Mehmet , Sas Hatice S. 
Published: November 2024

AbstractThis study investigates the effect of the annealing treatment for carbon fiber reinforced Polyether‐ketone‐ketone (CF/PEKK) composite structures under flexural and compressive loadings through reference, pre‐damaged, and annealed sample sets. Significant recovery of pre‐existing damage is observed after the annealing process, following both flexural and compressive loading. Acoustic emission (AE) inspection is employed to monitor the failure behavior and assess the impact of pre‐damage and annealing on CF/PEKK composite. Initially, AE inspection reveals that the reference CF/PEKK material exhibits a notable fiber‐related failure with 85% of cumulative AE counts under flexural load, whereas matrix‐related failures are more pronounced with 92% cumulative AE counts under compressive load. Pre‐damages in the matrix alter the cumulative count percentages and initiation time that are related to matrix, interface, and fiber‐related failures, under flexural and compressive loadings. After annealing, each cumulative AE count percentages are comparable to reference sample values, due to changes in microstructure and relieving of residual stresses. The annealing effect is further validated through dynamic scanning calorimetry (DSC) analysis results with increased glass transition temperature (Tg) and degree of crystallization (Xc). Overall, these findings indicate that annealing treatment effectively restores structural integrity and improves the mechanical performance of CF/PEKK composites.Highlights
Annealing aims for damage recovery in CF/PEKK under flexural and compressive loads.
Significant damage recovery in CF/PEKK is seen after annealing.
Annealing raises Tg and crystallinity, and enhances CF/PEKK structural integrity.
Mechanical properties of open‐hole unidirectional laminates: Hybridization of jute unidirectional fabrics with glass fabrics
Authors: Flores André Lima , da Silveira Thamires Alves , Agne Lucas Leal , Acosta Andrey Pereira , Tonatto Maikson Luiz Passaia , de Avila Delucis Rafael , Amico Sandro Campos 
Published: November 2024

AbstractThis study examines the mechanical properties of open‐hole unidirectional laminates by hybridizing jute and glass fabrics. Characterization involved microscopy, thickness variation, density measurements, tensile, and flexural tests. Numerical models were developed for each configuration, validated by experimental data, with a VUMAT subroutine implemented in ABAQUS/Explicit™ to simulate progressive damage using the 3D Hashin criteria. Results showed voids in the interphase regions of both jute‐based and hybrid laminates, indicating that jute fibers contribute to void formation. Thickness varied with the number of hybrid interfaces, with the glass laminate (G5) being thinnest, while jute and hybrid laminates (JGJGJ, JGGGJ and J5) were thicker. Density variation was influenced by the fiber types and their respective densities. Tensile tests revealed lower strength and modulus in jute laminates compared to glass. Open holes reduced tensile properties across laminates, except for G5. Numerical‐experimental tensile strength differences ranged from 0.5% to 6.1% (without hole) and 3.7% to 64.0% (with hole). Open‐hole laminates also showed reduced flexural strength but maintained a consistent flexural modulus. Numerical and experimental results for jute and hybrid laminates matched closely, with differences from 0.02% to 19.5%. Failure modes during tensile and flexural tests provided important insights into laminate behavior.Highlights
Hybridization of jute and glass fibers led to void formation in interphase regions.
Thickness variation in laminates influenced by the number of hybrid interfaces.
Density variation primarily influenced by fiber types and their densities.
Bi‐component jute laminates showed lower tensile properties compared to glass laminates.
Open holes resulted in decreased tensile properties, except for G5‐H laminate.
Failure modes during tensile testing provided valuable insights into laminate behavior.
Open‐hole laminates exhibited reduced flexural strength with similar flexural modulus.
Development of a Spectrophotometric Flow‐Based System for the Determination of Total Polyphenol Content in Legume Flours
Authors: Osorio Jazmín , Ribas Tânia C. F. , Vasconcelos Marta W. , Rangel António O. S. S. 
Published: November 2024

ABSTRACTIntroductionConventional nutritional characterization of legume flours comprises costly and laborious analytical methods for nutrient quantification that establish the quality of seeds, including their macronutrient quantification, fiber, mineral, antioxidant content, and more. The quantification of total polyphenol content (TPC) in legumes is performed using different analytic methods, namely the Folin–Ciocalteu (FC) method, which is lengthy and employs potentially toxic reagents. Additionally, it is time‐consuming and prone to human error if carried out in a conventional batch mode.ObjectiveTo develop a semi‐automatic method for a faster, greener, and more precise TPC quantification, resorting to flow injection analysis (FIA).MethodsThe development of the FIA method was based on the FC method. The flow manifold was structured by performing an array of preliminary studies, which led to the establishment of the method that displayed the highest sensitivity (highest slope of the calibration curve). The method was applied to determine the TPC in various legume flours.ResultsThis novel method resulted in a throughput of 1 analysis per minute, allowing to analyze 20 samples in triplicate within an hour, with a LOD of 4.32 mg L−1, a LOQ of 14.4 mg L−1, and an RSD of 4.4%. The results calculated from the proposed FIA method agreed with those of the reference procedure.ConclusionsBy using the FIA system, a lower consumption of reagents was observed. Additionally, as there is no need to reach chemical equilibrium, a high throughput has been achieved, resulting in a faster and greener method for the determination of polyphenols in various types of legumes.
Assessing the dark personality traits with observer reports: A meta‐analysis of inter‐rater agreement on the Dark Triad and Dark Tetrad traits
Authors: Rico‐Bordera Pilar , Pineda David , Galán Manuel , Piqueras José A. 
Published: November 2024

AbstractAssessing dark personality traits with self‐reports may be hampered by biases such as socially desirable responding. To address this, observer reports could be an effective complement or alternative to self‐reports. This meta‐analysis aimed to investigate the correlations of observer reports of the Dark Triad and Dark Tetrad traits with these traits' self‐reports. A comprehensive search in PubMed, Web of Science, Scopus and PsycINFO yielded 24 studies that met the inclusion criteria (with 32 effect sizes) and included the assessment of at least one of the dark traits. Results showed positive self‐observer correlations of medium‐high magnitude for psychopathy (r = 0.47) and of medium magnitude for narcissism and Machiavellianism (respectively, r = 0.44 and 0.41). In addition, for Machiavellianism and psychopathy, it was shown that the better acquainted the observer and the observed, the higher the self‐observer correlations. For sadism, no results could be obtained because only one study included the assessment of this trait. This is the first meta‐analysis of inter‐rater agreement in assessing the Dark Tetrad. The findings suggest that observer reports could be a supplement or even be alternatives to self‐reports when assessing the Dark Tetrad traits.
Sliding Window Iterative Identification for Nonlinear Closed‐Loop Systems Based on the Maximum Likelihood Principle
Authors: Liu Lijuan , Li Fu , Liu Wei , Xia Huafeng 
Published: November 2024

ABSTRACTThe parameter estimation problem for the nonlinear closed‐loop systems with moving average noise is considered in this article. For purpose of overcoming the difficulty that the dynamic linear module and the static nonlinear module in nonlinear closed‐loop systems lead to identification complexity issues, the unknown parameters from both linear and nonlinear modules are included in a parameter vector by use of the key term separation technique. Furthermore, an sliding window maximum likelihood least squares iterative algorithm and an sliding window maximum likelihood gradient iterative algorithm are derived to estimate the unknown parameters. The numerical simulation indicates the efficiency of the proposed algorithms.
Knowledge Graph for Solubility Big Data: Construction and Applications
Authors: Haiyang Xiao , Ruomei Yan , Yan Wu , Lixin Guan , Mengshan Li 
Published: November 2024

ABSTRACTDissolution refers to the process in which solvent molecules and solute molecules attract and combine with each other. The extensive solubility data generated from the dissolution of various compounds under different conditions, is distributed across structured or semi‐structured formats in various media, such as text, web pages, tables, images, and databases. These data exhibit multi‐source and unstructured features, aligning with the typical 5 V characteristics of big data. A solubility big data technology system has emerged under the fusion of solubility data and big data technologies. However, the acquisition, fusion, storage, representation, and utilization of solubility big data are encountering new challenges. Knowledge Graphs, known as extensive systems for representing and applying knowledge, can effectively describe entities, concepts, and relations across diverse domains. The construction of solubility big data knowledge graph holds substantial value in the retrieval, analysis, utilization, and visualization of solubility knowledge. Throwing out a brick to attract a jade, this paper focuses on the solubility big data knowledge graph and, firstly, summarizes the architecture of solubility knowledge graph construction. Secondly, the key technologies such as knowledge extraction, knowledge fusion, and knowledge reasoning of solubility big data are emphasized, along with summarizing the common machine learning methods in knowledge graph construction. Furthermore, this paper explores application scenarios, such as knowledge question answering and recommender systems for solubility big data. Finally, it presents a prospective view of the shortcomings, challenges, and future directions related to the construction of solubility big data knowledge graph. This article proposes the research direction of solubility big data knowledge graph, which can provide technical references for constructing a solubility knowledge graph. At the same time, it serves as a comprehensive medium for describing data, resources, and their applications across diverse fields such as chemistry, materials, biology, energy, medicine, and so on. It further aids in knowledge retrieval and mining, analysis and utilization, and visualization across various disciplines.
Rats’ performance in a suboptimal choice procedure implemented in a natural-foraging analogue
Authors: González-Barriga Fernanda , Orduña Vladimir 
Published: November 2024

Abstract
Rats and pigeons have shown striking differences in their behavior in the suboptimal choice procedure: while pigeons show a strong and consistent preference for the discriminative alternative, most studies performed with rats have found optimal preferences, and in the cases in which suboptimal preferences have been reported, those results have not been replicated. Currently, there is no consensus about the reasons for these discrepant results between species, but different explanations have been proposed either with an empirical base or exclusively in theoretical terms. In the latter category it has been proposed that the discrepancy might have arisen because of differences in the relationship between the natural foraging response of each species, and the response required in the laboratory. For analyzing this possibility, we conducted two experiments carried out within a maze that was specifically designed to allow rats to display behaviors related to their natural foraging. In experiment 1, we explored rats’ preferences when facing a discriminative alternative with probability of reinforcement (p) = 0.5, and a non-discriminative alternative with p = .75. In experiment 2, we evaluated preferences when the discriminative alternative had p = .20 and the non-discriminative had p = .50, rats were evaluated in a closed economy, with longer terminal links, and were allowed to escape from the outcome found. In both studies, rats showed a strong preference for the non-discriminative alternative and showed very high levels of discrimination between the positive and the negative outcomes of the discriminative alternative.
Location-aware business process modeling and execution
Authors: Poss Leo , Schönig Stefan 
Published: November 2024

Abstract
Locally distributed processes include several process participants working on tasks at different locations, e.g., craftspeople working on construction sites. Compared to classical IT environments, new challenges emerge due to the spatial context of a process. Real-time location data from Internet of Things (IoT) devices can help businesses implement more efficient and effective processes through business process management (BPM). However, only small parts of existing research have touched on those advantages, while the architecture and implementation of actual executable location-aware processes area has only been vaguely considered. Therefore, we introduce and present a non-exhaustive list of patterns for using location data in BPM while also including an actual implementation of a location-aware approach using a multilayer system architecture based on standard BPM technology. These can be used to leverage the location perspective of process entities as contextual data in BPM.
Constitutive behaviour of a granular matrix containing coal mine waste intermixed with rubber crumbs
Authors: Riyad A. S. M. , Indraratna Buddhima , Qi Yujie , Tawk Miriam 
Published: November 2024

AbstractTraditional railway substructure materials (i.e., natural crushed rock aggregates used for ballast and capping layers) degrade under service loads, incurring higher periodic maintenance costs compared to recycled materials. Using recycled waste materials such as coal wash and rubber crumbs for infrastructure upgrades not only reduces construction and maintenance costs but also supports environmental sustainability. By exploring unconventional avenues, earlier studies have delved into the viability of blending rubber crumbs (RC) and coal wash (CW) as an innovative substitute for traditional railway substructure materials, with a specific focus on the capping layer. This study introduces a semi-empirical constitutive model to simulate the response of mixtures of coal wash and rubber crumbs (CWRC) using the bounding surface plasticity framework. The novelty of this study is that a modified volumetric strain expression is introduced to capture the compressibility of rubber, thus enabling a more accurate representation of the internal deformation of rubber within the granular matrix. The variation of rubber content in the mixture is captured by the corresponding critical state void ratio surface and the hardening modulus. The theoretical model is then calibrated and validated using static drained triaxial test data for CWRC mixtures as well as mixtures of steel furnace slag, coal wash, and rubber crumbs (SFS + CW + RC).
NSSC: a neuro-symbolic AI system for enhancing accuracy of named entity recognition and linking from oncologic clinical notes
Authors: García-Barragán Álvaro , Sakor Ahmad , Vidal Maria-Esther , Menasalvas Ernestina , Gonzalez Juan Cristobal Sanchez , Provencio Mariano , Robles Víctor 
Published: November 2024

Abstract
Accurate recognition and linking of oncologic entities in clinical notes is essential for extracting insights across cancer research, patient care, clinical decision-making, and treatment optimization. We present the Neuro-Symbolic System for Cancer (NSSC), a hybrid AI framework that integrates neurosymbolic methods with named entity recognition (NER) and entity linking (EL) to transform unstructured clinical notes into structured terms using medical vocabularies, with the Unified Medical Language System (UMLS) as a case study. NSSC was evaluated on a dataset of clinical notes from breast cancer patients, demonstrating significant improvements in the accuracy of both entity recognition and linking compared to state-of-the-art models. Specifically, NSSC achieved a 33% improvement over BioFalcon and a 58% improvement over scispaCy. By combining large language models (LLMs) with symbolic reasoning, NSSC improves the recognition and interoperability of oncologic entities, enabling seamless integration with existing biomedical knowledge. This approach marks a significant advancement in extracting meaningful information from clinical narratives, offering promising applications in cancer research and personalized patient care.

Graphical abstract