bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel plasma biomarkers of amyloid plaque pathology and cortical thickness: Evaluation of the NULISA targeted proteomic platform in an ethnically diverse cohort
Authors: Zeng Xuemei , Sehrawat Anuradha , Lafferty Tara K. , Chen Yijun , Rawat Mahika , Kamboh M. Ilyas , Villemagne Victor L. , Lopez Oscar L. , Cohen Ann D. , Karikari Thomas K. 
Published: February 2025

AbstractINTRODUCTIONProteomic evaluation of plasma samples could accelerate the identification of novel Alzheimer's disease (AD) biomarkers. We evaluated the novel NUcleic acid Linked Immuno‐Sandwich Assay (NULISA) proteomic method in an ethnically diverse cohort.METHODSPlasma biomarkers were measured with NULISA in the Human Connectome Project, a predominantly preclinical biracial community cohort in southwestern Pennsylvania. Selected biomarkers were additionally measured using Simoa and Quest immunoassays and compared.RESULTSOn NULISA, phosphorylated tau (p‐tau217, p‐tau231, and p‐tau181), glial fibrillary acidic protein (GFAP), and microtubule‐associated protein tau (MAPT‐tau) showed the top significant association with amyloid beta (Aβ) positron emission tomography (PET) status, followed by the neuroinflammation markers C‐C motif ligand 2 (CCL2), chitotriosidase 1 (CHIT1) and interleukin‐8 (CXCL8), and the synaptic marker neurogranin (NRGN). Biomarkers associated with cortical thickness included astrocytic protein chitinase‐3‐like protein 1 (CHI3L1), cytokine CD40 ligand (CD40LG), brain‐derived neurotrophic factor (BDNF), the Aβ‐associated metalloprotein TIMP3 (tissue inhibitor of metalloprotein 3), and ficolin 2 (FCN2). Furthermore, moderate to strong between‐platform correlations were observed for various assays.DISCUSSIONNULISA multiplexing advantage allowed concurrent assessment of established and novel plasma biomarkers of Aβ pathology and neurodegeneration.Highlights
Classical Alzheimer's disease (AD) biomarkers measured using the NUcleic acid Linked Immuno‐Sandwich Assay (NULISA) with next‐generation sequencing readout (NULISAseq) CNS panel showed strong concordance with those measured using established immunoassay methods from Quanterix and Quest, with glial fibrillary acidic protein (GFAP) and neurofilament light (NfL) exhibiting the strongest correlation.
NULISAseq proteomic analysis identified several plasma biomarkers strongly associated with AD pathology in a biracial community cohort of older adults. Notably, phosphorylated tau‐217 (p‐tau217), GFAP, and p‐tau231 displayed the strongest association with amyloid beta (Aβ) pathology, whereas brain‐derived neurotrophic factor (BDNF) was strongly associated with neurodegeneration.
We demonstrate that plasma biomarker levels could be influenced by age, sex, apolipoprotein E (APOE) genotype, and self‐identified race. Specifically, GFAP, NfL, and surfactant protein D (SFTPD) showed a strong association with age; CD63 and S100 calcium‐binding protein B (S100B) with self‐identified race; synaptosomal‐associated protein 25 (SNAP25) with APOE genotype; and serum amyloid A1 (SAA1) and superoxide dismutase 1 (SOD1) with significant sex differences.
Functional trait analysis reveals the hidden stability of multitrophic communities
Authors: Yeager Mallarie E. , Hughes A. Randall 
Published: February 2025

AbstractAlthough important for understanding how ecosystems will fare with increasing global change, the relationship between diversity and stability in multitrophic communities is still debated. Our best understanding comes from work within competitive guilds, where the relationship between stability and functional diversity is generally positive and also more direct and mechanistic than the relationship with species diversity. To expand our understanding, there is a need to examine empirically how functional trait identity relates to spatial and temporal stability within multitrophic communities relative to species identity. Here, we measured 13 functional traits of six coastal pond fish communities to examine temporal and spatial community stability through the lenses of functional trait diversity and species diversity. We found that solely considering species composition may underestimate stability. Additionally, we found spatial convergence and temporal divergence in species and trait variability, and we link this variation to processes of deterministic community assembly. Lastly, we found that correlations of species with key functional traits allow us to make inferences about how the trophic position of species relates to trait stability. Inferring community processes and making conservation decisions from species or trophic groups based on functional trait knowledge may be a viable strategy when resources are limited.
Modeling and Operation Optimization of a Hydrogen‐Compressed Natural Gas‐Integrated Energy System With Variable Hydrogen Content and Flexible Thermal Load
Authors: Chen Jing , Sun Bo 
Published: February 2025

ABSTRACTIn integrated energy systems (IESs) with high share of renewable energy, converting excess electrical energy into hydrogen (H2) and mixing it with natural gas (NG) offers numerous advantages and has become a key research focus. However, IES operations are influenced by various factors, such as equipment performance, energy flow dynamics, and load management, which are often overlooked in traditional optimization approaches. This study develops a novel hydrogen‐compressed natural gas (HCNG)‐IES model and operational strategy to address these challenges. An equivalence framework is established between electricity and hybrid gas, enabling the creation of an equivalent circuit model integrating electricity, heat, HCNG, H2, and NG. This model captures the intricate interactions and dependencies amongst energy equipment, multi‐energy flow, and consumption loads. An optimized operational strategy is proposed, leveraging variable H2 content in the gas mixture and adaptable thermal loads, while accounting for the energy inertia of H2 storage and building systems to maintain supply–demand balance. Case studies reveal that incorporating HCNG technology increases renewable resources utilization, reducing operational costs, carbon emissions, and primary energy consumption by 23%, 24%, and 23%, respectively. Moreover, compared to conventional NG‐IES optimization focused solely on equipment output, the proposed HCNG‐IES approach achieves reductions of 28.12% in costs, 24.36% in carbon emissions, and 39.13% in primary energy consumption.
Study on Mine Earthquake Prediction Based on Numerical Simulation of Rock Fracture Evolution
Authors: Zhang Xiu‐Feng , Li Wei , Li A‐Tao , Gao Feng , Zhang Ning , Li Xiang , Chen Yang , Liu Chuan‐Cheng , Shi Chao‐Hong , Han Feng‐Jun , Wang Bao‐Qi 
Published: February 2025

ABSTRACTThe deformation and instability of overlying strata is the root cause of roof dynamic disasters. Therefore, it is necessary to study the geomechanical behavior of overlying strata and the evolution law of three‐dimensional fracture morphology for preventing rock burst disasters and identifying the source of mine earthquakes. To solve the problem of strong mine earthquakes in Shilawusu 1208 working face (SLWS–1208) during mining, this paper takes the mechanical mechanism of the “O–X” fracture morphology of overlying strata as the starting point to discuss the deformation, instability, and failure characteristics of overlying strata and the occurrence mechanism of mine earthquake. First, a fine stope model is established according to the geology and rock strata distribution of SLWS–1208 working face. Then, using the cohesive element analysis technique and the proposed “O–X” fracture mechanics model, numerical simulation experiments are carried out to explore the spatial‐temporal evolution laws of overlying strata migration and rock fracture. Finally, the mechanical analysis results are compared with the on‐site microseismic monitoring data, and the prediction of mine seismic events and the quantitative evaluation of mine earthquake magnitude are realized.
Leveraging Artificial Intelligence–Powered Chatbots for Nonprofit Organizations: Examining the Antecedents and Outcomes of Chatbot Trust and Social Media Engagement
Authors: Cheng Yang , Wang Yuan 
Published: February 2025

ABSTRACTWith the growing utilization of artificial intelligence–powered chatbot services in the realm of nonprofit communication and the increasing significance of public engagement on social media platforms, researchers are facing a pivotal question: How can nonprofit organizations effectively harness chatbot technologies to influence the public's social media engagement and foster donation intention? In this study, we explore this question by integrating theoretical insights from social exchange theory, the service robot acceptance model, and pertinent prior literature. A survey involving 591 chatbot users located in the United States was conducted to explore the interplay between the functional and emotional values attributed to chatbots and their impacts on users' trust in the World Health Organization's chatbot services, subsequently influencing social media engagement and donation intention. The findings of this study have valuable theoretical and practical implications for nonprofit organizations seeking to optimize their use of chatbot technologies, with the goals of enhancing user engagement and encouraging donation behavior.
Monitoring Cellular Energy Balance in Single Cells Using Fluorescent Biosensors for AMPK
Authors: DeCuzzi Nicholaus , Kosaisawe Nont , Pargett Michael , Cabel Markhus , Albeck John G. 
Published: February 2025

Abstract
5′-Adenosine monophosphate-activated protein kinase (AMPK) senses cellular metabolic status and reflects the balance between ATP production and ATP usage. This balance varies from cell to cell and changes over time, creating a need for methods that can capture cellular heterogeneity and temporal dynamics. Fluorescent biosensors for AMPK activity offer a unique approach to measure metabolic status nondestructively in single cells in real time. In this chapter, we provide a brief rationale for using live-cell biosensors to measure AMPK activity, survey the current AMPK biosensors, and discuss considerations for using this approach. We provide methodology for introducing AMPK biosensors into a cell line of choice, setting up experiments for live-cell fluorescent microscopy of AMPK activity, and calibrating the biosensors using immunoblot data.
Towards Rethinking Politics, Policy and Polity in the Anthropocene: Context and Threat to Survival
Authors: Brauch Hans Günter 
Published: February 2025

Abstract
Thischapterreviewsthecontroversialdiscussion on the start of the Anthropocene claiming that this change in Earth history coincided with the emergence of a new international order. During the Cold Warthis liberalorder contributed to the collapseof theSovietUnion, and the intensification of globalisation resulted in a rapid increase in GHG emissions. The collapseof the Europeansecurityorder (2022) upgraded Hobbesian geopolitics and may postpone the realisation of a climate-neutral society and economy. During the first phase of the Anthropocene (bipolarity in the Cold War) the security discourse clearly dominated. In the second phase, since the end of the Cold War (unipolarity, 1990–2022), the planetary ecological debate emerged within new forms of “governance without government” extending beyond national sovereignty. During the third phase of increased uncertainty since 24 February 2022, both discourses coexist, while in policymaking the Hobbesian logic on national sovereignty clearly dominates, and the Anthropocene narrative has been downgraded. Within the three phases of international order since 1945 the Anthropocene has not yet affected the definitions of concepts of Politik. It has been addressed in ten edited collections in Political Science and in a few monographs, without a consensus on its relevance, definitions and purpose. During the Anthropocene the creation of a new planetary environmental order to counter global environmental and climate change has not yet emerged to prevent a “hothouse Earth” and to counter possible geopolitical tipping points resulting from chaotic interactions in the Earth system.
A Short Golden Age? The Post-War Years
Authors: Woodin Tom , Vernon Keith , Shaw Linda 
Published: February 2025

Abstract
The euphoria of peace and hopes for a post war democracy had to be translated into practical solutions. Led by Robert Marshall, the College would enjoy a much-enlarged cohort from around the world. It embraced management education and social studies with the aid of scholarships from co-operative societies, as well as education for ‘colonial co-operators’ in a new course supported by the Colonial Office. Yet, the very forces of the labour movement, of which co-operatives formed an important part, were moving in a direction that would create dilemmas for co-operators. In fact, the end of empire, the Cold War, the introduction of the ‘welfare state’ and nationalisation of the ‘commanding heights’ of the economy gave rise to incongruous feelings in co-operative circles. At the same time as supporting emerging national ideas on education and welfare, co-operators had to adjust to a world in which centralised planning was becoming part of a new consensus. Responding actively to these changes proved to be difficult for the movement despite encouragement from the College.
Quality Assurance and Hippocampal Segmentation on Low-Field Pediatric Magnetic Resonance Images
Authors: Tapp Austin , Rouhi Rahimeh , Tanedo Jeffrey , Zanjal Shreyash , Deoni Sean , Linguraru Marius George , Lepore Natasha 
Published: February 2025

Abstract
Portable ultra-low-field (uLF, i.e., 0.064T) magnetic resonance imaging (MRI) offers a solution to scarce radiological alternatives of resource-limited regions; however, in such regions, MRI system operators and radiologists are novices to the underrepresented modality. Therefore, automatic methods that confirm image acquisition of appropriate quality for diagnosis and segment and measure critical anatomical structures are required to support rural sites. This paper describes our approach to two tasks presented in the LISA 2024 Challenge: (1) quality assurance of pediatric low-field MRI data using DenseNet, and (2) segmentation of the bilateral hippocampi using nnUNet. As uLF MRI natively introduces unique image quality challenges, we trained seven DenseNet264 models, each designed to detect a specific artifact type: noise, zipper, positioning, banding, motion, contrast, and distortion. Similarly, as uLF MRI struggles to offer strong anatomical delineation, we enhanced challenge provided 0.064T low-field MRI scans using a custom Super-Field Network (SFNet) to generate high-quality Super-Field (SF) images, then trained an nnUNet model on these SF images with the LISA Challenge provided hippocampi segmentations. DenseNet achieved an average accuracy of 0.827 on the validation set across different artifact categories, excelling in detecting positioning and banding artifacts, with accuracies of 0.952 and 0.90, respectively. The nnUNet model trained on SF data achieved an average Dice Similarity Coefficient (DSC) of 71% with the SF images-an improvement from 61% DSC using the same nnUNet; similar and significant improvements were obtained for HD, relative volume error, and average symmetric surface distance demonstrating the effectiveness of SF images in improving hippocampal segmentation accuracy. These results indicate that our automated methods effectively improve image quality assessment and hippocampal segmentation in uLF MRI, supporting the mission of the LISA 2024 Challenge and the potential adoption of portable MRI systems in resource-limited regions.
Kompensationslösung fluidische Kühlung
Authors: Weber Juliane , Steiert Christoph , Weber Jürgen 
Published: February 2025

Zusammenfassung
Die Wissenschaft hat sich dem Thema Effizienzsteigerung in der Produktionstechnik angenommen und veröffentlicht regelmäßig Entwicklungstrends und Erkenntnisse zum Stand der Forschung. In vielen Fällen hat sich gezeigt, dass das größte Energieeinsparpotenzial in der Optimierung der Nebenaggregate und deren Schaltverhalten liegt (Brecher et al. 2012). Bei den Nebenaggregaten gilt dies insbesondere für Systeme, in denen Fluide als Energieträger genutzt werden.
Prozessmodellierung des Fräs- und Schleifprozesses
Authors: Bredthauer Marc , Liu Hui , Mattfeld Patrick , Bergs Thomas , Barth Sebastian , Meurer Markus , Wrobel Christian , Augspurger Thorsten 
Published: February 2025

Zusammenfassung
Im Zerspanprozess, sowohl mit definierter als auch mit undefinierter Schneide, wird die eingeleitete kinetische Energie weitestgehend in Wärme umgewandelt. Die entstehende Wärme wird durch Wärmeleitung, Konvektion und Strahlung über Werkzeug, Werkstück, Kühlschmierstoff sowie Span aus dem Zerspanbereich in die Maschinenstruktur und Umgebung abgeführt. Die daraus resultierenden Änderungen des Temperaturfeldes in der Zerspanzone haben einen wesentlichen Einfluss auf die Werkzeugstandzeit und die erreichbare Werkstückqualität hinsichtlich der Randzoneneigenschaften. Bisher wurde zumeist von den Prozessparametern direkt auf die Prozesszielgrößen, wie Verschleiß, Standzeit oder Oberflächeneigenschaften geschlossen, ohne die dafür verantwortlichen physikalischen Zustandsgrößen zu kennen.
Potenzielle verhaltensökonomische Einflussfaktoren
Authors: Reimer Maximilian Vincent 
Published: February 2025

Zusammenfassung
Zunächst wird ein Überblick der verhaltensökonomischen Einflussfaktoren geliefert, wonach die Risikoeinstellung und der Ankereffekt ausführlicher betrachtet werden. Das Entscheidungsmodell wird dann in Bezug auf das Risiko analysiert. Für das Ankerverhalten folgt ein detaillierter Literaturüberblick.
Organisationale Gesundheitskompetenz in Krankenhäusern und Pflegeeinrichtungen – Stand und Perspektiven
Authors: Bitzer Eva Maria , Häberle Nicola , Rathmann Katharina , Islertas Zeynep 
Published: February 2025

Zusammenfassung

Hintergrund
Offen ist, zu welchem Grad Krankenhäuser und Einrichtungen der Altenpflege in Deutschland ihren Klient:innen gute gesundheitsbezogene Entscheidungen ermöglichen, d. h. organisationale Gesundheitskompetenz (oGK) zeigen, und welche Aspekte im Detail für Identifikation von Ansatzpunkten zur Förderung der oGK essenziell sind.

Methodik
Grundlage bilden 3 unabhängig voneinander durchgeführte Forschungsprojekte: (1) Befragung von Krankenhäusern (KH) und Pflegeeinrichtungen (PE; EwiKo, 2021), (2) Befragung von KH (GK-KH, 2022) und (3) ein Konsensprozess zur Reduktion eines ausführlichen Selbstbewertungsinstrumentes (SAT-OHL-Hos v1.1; 2024). In (1) und (2) einbezogen wurden alle deutschen KH sowie die 1475 PE in Sachsen und Thüringen, eingesetzt wurde der HLHO-10 (Wertebereich 1 bis 7, hohe Werte = hohe oGK). Der Konsensprozess erfolgte im WHO-Netzwerk M‑POHL mit dem Ziel der Kürzung der 141 Indikatoren um etwa 2 Drittel unter Erhalt der Tiefe und Breite des Konzeptes in 3 Schritten: Priorisierung von Indikatoren auf nationaler Ebene, Zusammenführung nationaler Voten, Konsens in der internationalen Arbeitsgruppe.

Ergebnisse
Auswertbare Fragebögen liegen von 195 PE, 62 bzw. 291 KH vor (Rücklauf: 13,2 %, 3,2 % bzw. 11 %). Die Mittelwerte der 10 Standards des HLHO-10 liegen zwischen 3,5 und 5,7. Substanzielle Unterschiede zwischen KH und PE bestehen nicht. Der Konsensprozess führte zu einem auf 54 Items reduzierten Instrument, diskutiert wurde u. a., was länderübergreifend zu erwarten ist.

Diskussion
Erstmals liegen Daten zur oGK in der stationären Pflege vor, die selbsteingeschätzte oGK der befragten Einrichtungen liegt im mittleren bis guten Bereich, mit dem auf ca. ein Drittel gekürzten SAT-OHL-Hos steht ein „kurzes ausführliches“ und international vergleichend einsetzbares Instrument zur Verfügung, dessen empirische Prüfung ansteht.
An innovative smart monitoring system for DED-LB/MW process stability based on machine learning techniques
Authors: Flores Jon , Cabanes Itziar , Gutierrez Aitor , de Calle Kerman Lopez , Gonzalo Oscar , Portillo Eva 
Published: February 2025

Abstract
Within additive manufacturing (AM) processes, the wire laser metal deposition (DED-LB/MW) technique optimizes the benefits of this technology, including reduced material consumption, cost, and production time. However, it still lacks sufficient robustness to ensure a continuous and consistent high-quality process for the manufacture of three-dimensional components. Process stability is determined by the ability to maintain constant conditions in the transfer of the wire feed material into the melt pool, which can be affected by any variation in the process. This work presents a smart monitoring system for online diagnosis of the DED-LB/MW process, facilitating the automated and immediate identification of the stability level during manufacturing. The proposed methodology relies on image-based monitoring and the integration of a convolutional neural network (CNN) model trained to identify the categorized conditions in the material deposition process. This study introduces an innovative method to convert the discrete output of the model into a continuous stability indicator, offering a more detailed and accurate depiction of the transition between stable and unstable process states. The proposed smart monitoring system is rigorously validated through two representative case studies, demonstrating its ability to adapt to variations in standoff distance—a critical challenge in achieving consistent layer growth in 3D manufacturing. By leveraging the power of CNN models for online monitoring in DED-LB/MW, this work not only advances the state of the art in process monitoring but also establishes a solid foundation for the integration of closed-loop control systems in future additive manufacturing technologies.
Nearly Gorenstein local rings defined by maximal minors of a $$2 \times n$$ matrix
Authors: Kumashiro Shinya , Matsuoka Naoyuki , Nakashima Taiga 
Published: February 2025

Abstract
We investigate the nearly Gorenstein property of a local ring defined by the maximal minors of a specific

$$2 \times n$$

2
×
n

matrix with entries in the formal power series ring

$$k[[X_1, X_2, \ldots , X_n]]$$

k
[

[

X
1

,

X
2

,
…
,

X
n

]

]

over a field k. Our findings allow us to present numerous concrete examples, such as nearly Gorenstein rings that are not almost Gorenstein and vice versa.
Modeling the Payne effect in filled rubbers: accounting for time effect and partial reversibility
Authors: Madera Rebeca Cedeno , Lejeunes Stéphane , Euchler Eric 
Published: February 2025

Abstract
Carbon black-filled rubbers have been used in the industry since the early 20th century, and their mechanical advantages are well known. However, describing and predicting their mechanical behavior can become a non-trivial task. In this work, we present an approach to a new mechanical model that is capable of capturing the principal nonlinearities in rubber behavior when subjected to dynamic loadings, focusing on the Payne effect. Inspired by phase-change mechanisms, we introduce internal scalar variables to account for the carbon filler network dynamics in the presence of dynamic stretch. Reversibility of the Payne effect is taken into account within a clear and standard thermodynamical framework. This approach aims to enhance our understanding of the mechanical responses of carbon-filled rubbers and improve predictive capabilities.