bluuebunny/crossref_metadata_2025_split huggingface dataset:
New Insights Into Application Relevant Properties of Cu2+‐Doped Brushite Cements
Authors: Spaeth Karla , Nawaz Qaisar , Schilling Tatjana , Goetz‐Neunhoeffer Friedlinde , Detsch Rainer , Boccaccini Aldo R. , Hurle Katrin 
Published: September 2024

ABSTRACTDoping of brushite cements with metal ions can entail many positive effects on biological and physicochemical properties. Cu2+ ions are known to exhibit antibacterial properties and can additionally have different positive effects on cells as trace elements, whereas high Cu2+ concentrations are cytotoxic. For therapeutical applications of bone cement, a combination of good biocompatibility and sufficient mechanical properties is required. Therefore, the aim of this study was to investigate different physicochemical and biological aspects, relevant for application, of a brushite cement with Cu2+‐doped β‐tricalcium phosphate, monocalcium phosphate monohydrate and phytic acid as setting retarder. Additionally, the ion release was compared with a cement with citric acid as setting retarder. The investigated cements showed good injectability coefficients, as well as compressive strength values sufficient for application. Furthermore, no antibacterial effects were detected irrespective of the Cu2+ concentration or the bacterial strain. The cell experiments with eluate samples showed that the viability of MC3T3‐E1 cells tended to decrease with increasing Cu2+ concentration in the cement. It is suggested that these biological responses are caused by the difference in the Cu2+ release from the hardened cement depending on the solvent medium. Furthermore, the cements showed a steady release of Cu2+ ions to a lesser extent in comparison with a cement with citric acid as setting retarder, where a burst release of Cu2+ was observed. In conclusion, despite the anticipated antibacterial effect of Cu2+‐doped cements was lacking and mammalian cell viability was slightly affected, Cu2+‐concentrations maintained the physicochemical properties as well as the compressive strength of cements and the slow ion release from cements produced with phytic acid is considered advantageous compared to citric acid‐based formulations.
Poly(ε‐Caprolactone)‐Based Composites Modified With Polymer‐Grafted Magnetic Nanoparticles and L‐Ascorbic Acid for Bone Tissue Engineering
Authors: Hlukhaniuk Anna , Świętek Małgorzata , Patsula Vitalii , Hodan Jiří , Janoušková Olga , Bystrianský Lukáš , Brož Antonín , Malić Marina , Zasońska Beata , Tokarz Waldemar , Bačáková Lucie , Horák Daniel 
Published: September 2024

ABSTRACTThe aim of this study was to develop multifunctional magnetic poly(ε‐caprolactone) (PCL) mats with antibacterial properties for bone tissue engineering and osteosarcoma prevention. To provide good dispersion of magnetic iron oxide nanoparticles (IONs), they were first grafted with PCL using a novel three‐step approach. Then, a series of PCL‐based mats containing a fixed amount of ION@PCL particles and an increasing content of ascorbic acid (AA) was prepared by electrospinning. AA is known for increasing osteoblast activity and suppressing osteosarcoma cells. Composites were characterized in terms of morphology, mechanical properties, hydrolytic stability, antibacterial performance, and biocompatibility. AA affected both the fiber diameter and the mechanical properties of the nanocomposites. All produced mats were nontoxic to rat bone marrow‐derived mesenchymal cells; however, a composite with 5 wt.% of AA suppressed the initial proliferation of SAOS‐2 osteoblast‐like cells. Moreover, AA improved antibacterial properties against Staphylococcus aureus and Escherichia coli compared to PCL. Overall, these magnetic composites, reported for the very first time, can be used as scaffolds for both tissue regeneration and osteosarcoma prevention.
Effects of recalling place memory on promoting cooperative behaviors in local communities
Authors: Li Ziying , Aoki Toshiaki 
Published: September 2024

AbstractAimsThe present study aimed to develop a theoretical model that explores the influence of recalling place memory on cooperative behaviors in local communities.MethodsFive hundred ninety‐five Japanese residents (mean age = 49.75 years) participated in an online survey, in which they received one of the three interventions: (1) positive memory; (2) neutral memory and (3) negative memory. Participants were instructed to recall their place memories within their living areas and provide ratings for their place attachment, emotional valence, perceived self‐interest, and willingness to engage in cooperative behaviors.ResultsThe results revealed that individuals who recalled positive‐valenced place memories exhibited a higher willingness to engage in cooperative behaviors. Additionally, this study reveals the previously unreported mediating role of place attachment and perceived self‐interest in promoting cooperative behaviors.ConclusionThe findings hold significance in elucidating the relationship between place memory and cooperative behaviors, offering novel insights for community management.
A Mild Synthesis of 0D Mn2+‐Doped Cs3CdBr5 Metal Halide for White Light‐Emitting Diodes and X‐Ray Imaging
Authors: Kou Tongtong , Wei Qilin , Chang Tong , Wang Hua , Zheng Wei , Jiang Xiaomei , Zhao Qiang , Zhou Zijian , Huang Dan , Chen Zhaolai , Wang Liang , Tang Jiang , Yu William W. 
Published: September 2024

AbstractAll‐inorganic Cd‐based metal halide is widely studied and applied in the field of optoelectronics due to its superior stability, diverse phase structure, and unique photoelectric properties. However, all‐inorganic 0D Cd‐based metal halide is not widely studied due to their extreme synthesis conditions. In this paper, a simple mild solution method is devised to successfully synthesize 0D Cs3CdBr5 by manipulating the crystal growth kinetics. Simultaneously, the influence of the doping element Mn on the transition matrix and the optical properties are investigated. By doping with an appropriate concentration of Mn2+, a green emission (520 nm) with photoluminescence quantum yield (PLQY) as high as 97.39% is obtained. Benefiting from near‐unity PLQY and the excellent optical properties, the white emitting light‐emitting diodes (WLEDs) with Cs3CdBr5:20%Mn as green phosphor exhibit warm white light emission with color rendering index (CRI) of 91 and correlated color temperature (CCT) of 4108 K. In addition, Cs3CdBr5:20%Mn also demonstrates excellent X‐ray scintillation properties with a low detection limit of 32.83 nGyair·s−1. The results show that Cs3CdBr5:Mn is not only a promising candidate for solid‐state lighting but also a promising candidate for low‐dose high‐resolution X‐ray imaging.
Anomaly Detection and Correction in Dense Functional Data Within Electronic Medical Records
Authors: Kuwaye Daren , Cho Hyunkeun Ryan 
Published: September 2024

ABSTRACTIn medical research, the accuracy of data from electronic medical records (EMRs) is critical, particularly when analyzing dense functional data, where anomalies can severely compromise research integrity. Anomalies in EMRs often arise from human errors in data measurement and entry, and increase in frequency with the volume of data. Despite the established methods in computer science, anomaly detection in medical applications remains underdeveloped. We address this deficiency by introducing a novel tool for identifying and correcting anomalies specifically in dense functional EMR data. Our approach utilizes studentized residuals from a mean‐shift model, and therefore assumes that the data adheres to a smooth functional trajectory. Additionally, our method is tailored to be conservative, focusing on anomalies that signify actual errors in the data collection process while controlling for false discovery rates and type II errors. To support widespread implementation, we provide a comprehensive R package, ensuring that our methods can be applied in diverse settings. Our methodology's efficacy has been validated through rigorous simulation studies and real‐world applications, confirming its ability to accurately identify and correct errors, thus enhancing the reliability and quality of medical data analysis.
Squaraine‐Linked Magnetic Covalent Organic Framework as a Solid‐Phase Extraction Absorbent to Determine Trace Phenylpyrazoles
Authors: Chen Li , Zhou Cuiyun , Jiang Feng , Zhang Li , Xu Chuanlai 
Published: September 2024

AbstractPhenylpyrazoles are widely used pesticides in the food industry. It is highly desirable to develop efficient pre‐treatment and analysis methods to extract and detect phenylpyrazoles in complex food matrices. Herein, the study reports novel squaraine‐linked zwitterionic core‐shell magnetic covalent organic frameworks (MCOFs), which are found to be excellent pretreatment materials for the detection of trace phenylpyrazoles in samples. By coupling MCOFs to magnetic solid‐phase extraction (MSPE) with Ultra Performance Liquid Chromatography‐Tandem Mass Spectrometry (UPLC‐MS/MS) analysis, the detection of phenylpyrazoles (fipronil, fipronil sulfone, fipronil sulfide, fipronil de‐sulfoxide, fipronil desulfinyl, ethiprole, and flufiprole) is achieved and shows good linearity at concentrations of 1–800 µg L−1 (R2 ≥ 0.9930). The limit of detection (LOD), limit of quantification (LOQ), and recovery rates are 0.01–0.50 µg kg−1, 0.04‐1.72 µg kg−1, and 70.96–115.32%, respectively. More importantly, this method is successfully applied to determine the phenylpyrazoles in commercial egg, poultry, milk, jujube, cabbage, tea, and rice with a detection rate of ≈0.04%. Therefore, the developed method may contribute to a new strategy for the purification and multi‐target extraction of complex food matrices.
Performance of eccentrically loaded low‐strength RC columns confined with posttensioned metal straps: An experimental and numerical investigation
Authors: Neupane Ram Prasad , Imjai Thanongsak , Garcia Reyes , Chua Yie Sue , Chaudhary Sandeep 
Published: September 2024

AbstractThis study experimentally and numerically examines the performance of low‐strength reinforced concrete (LS RC) columns confined with external post‐tensioned metal straps (PTMS). Twelve square columns of cross‐section 125 × 125 mm and height 1500 mm were subjected to axial load, with eight columns being eccentrically loaded. Four columns were control specimens without confinement, and another eight were confined using a novel technique that provides active confinement through the PTMS. The main parameters investigated included the PTMS confinement ratio (ρv = 0.64% and 1.28%) and different eccentricities (e/b = 0, 0.25, 0.5 or 1.0, where e = eccentricity). The results show that the capacity and axial displacement of the PTMS‐confined columns increased by up to 43% and 116% over unconfined control columns. Finite element analyses of the columns were carried out in Abaqus® to provide further insight into the behavior of PTMS‐confined columns. This study contributes towards developing cost‐effective confinement solutions for LS RC columns, thus encouraging the broader adoption of active confinement techniques in practical strengthening applications.
The IPM cycle: An instructional tool for promoting students' engagement in modeling practices and construction of models
Authors: Garrido Anna , Couso Digna 
Published: September 2024

AbstractThe importance of models and modeling in science education is well‐recognized, yet there exists significant polysemy among these terms within the literature. This ambiguity often leads to confusion, particularly regarding whether modeling represents an expected student performance, an instructional strategy to promote such performance, or both. Moreover, the construction of models has been depicted as both the objective of modeling and a distinct phase within modeling‐based instruction. Additionally, the expression of models has often been overlooked despite its significance as a crucial modeling practice. In an endeavor to shed light into these complexities associated with modeling in science education, this paper pursues a twofold aim. First, it theoretically presents and justifies the Instruction Performance Modeling (IPM) cycle, drawing on numerous previous contributions to the field, as a practical and specific instructional tool designed to clarify some problematic concepts both regarding modeling instruction and modeling practice. Second, it provides empirical evidence regarding the type of modeling performance exhibited by students involved in instruction guided by the IPM. This study applies discourse analysis to the multimodal productions of preservice teachers attending a lab‐based workshop on the topic of flotation. The main findings reveal that students' modeling performance, while exhibiting certain patterns such as the Introductory pattern or the Evaluation‐Revision one, predominantly manifests as a disorganized sequence of modeling practices. This result is consistent with certain precedents in the modeling literature but contrasts with the expected outcomes of well‐established approaches like Generation‐Evaluation‐Modification. Furthermore, the study aims to highlight the rich, meaningful, and productive modeling practices occurring in instructional scenarios guided by the IPM cycle.
Photoacoustic Spectrum Analysis for Soft Tissues
Authors: Chen Yingna , Wu Shiying , Zhang Mengjiao , Li Jiayan , Qian Menglu , Cheng Qian 
Published: September 2024

AbstractBiomedical photoacoustics has shown great potential for precise medical diagnosis because it can provide structural, physiological/pathological characteristics, and metabolic information of biological tissues noninvasively in vivo. Photoacoustic imaging has made great breakthroughs in many preclinical studies, including microvascular imaging, blood oxygen detection, and tumor detection. However, compared with photoacoustic imaging, the photoacoustic spectrum can provide more information, such as the rich molecular information in the optical spectrum and the rich microstructural information in the ultrasonic spectrum, which is closely related to the disease evolution process. Recently, photoacoustic spectrum analysis (PASA) has demonstrated the ability to quantitatively extract physicochemical information from biological tissues to distinguish between normal and diseased tissues, especially for classifying, grading, and staging cancer tissue, making it one of the most promising methods for noninvasive, accurate diagnosis of clinical diseases. In this chapter, we introduce the methods of PASA for the diagnosis of soft tissue diseases.
Photoacoustic Imaging of Interventional Devices for Guiding Minimally Invasive Medical Procedures
Authors: Shi Mengjie , West Simeon J. , Vercauteren Tom , Noimark Sacha , Desjardins Adrien E. , Xia Wenfeng 
Published: September 2024

AbstractDespite rapid advancements in medical technology, accurate identification and assessment of abnormalities and precise visualisation of interventional devices are imperative for successful outcomes in minimally invasive medical procedures. In the past few decades, photoacoustic (PA) imaging has emerged as a promising intraoperative imaging modality for surgical guidance, offering rich optical absorption contrast derived from intrinsic tissue chromophores, extrinsic contrast agents, and interventional devices. This chapter reviews recent developments in PA imaging for guiding minimally invasive medical procedures, with a particular focus on its capability of visualising interventional devices including clinical metallic needles, catheters, and metal implants, and signal and image processing methods for enhanced visualisation.
Management der Bodenacidität durch Kalkung – eine unterschätzte Herausforderung
Authors: Kramer Eckart , Gebbers Robin , Rühlmann Jörg , Bönecke Eric , Schröter Ingmar 
Published: September 2024

ZusammenfassungIn this chapter, terms relating to liming are explained, and an introduction to the importance of liming and the need for liming of agricultural crops is given. The extent of suboptimally limed areas in Germany is described and the causes for the suboptimal lime supply are mentioned. After introducing the principle of lime requirement determination, the influences of incorrect soil information and their causes are outlined, and resulting losses are pointed out. Thus, the need for site-specific, sensor-based liming is explained, and ultimately the motivation for this book is given. Precise liming requires a workflow of various steps in a networked system. Reference is made to their description in the following chapters. In this chapter, the reader is introduced to the terminology in the framework of liming. The importance of liming and the need for liming of agricultural crops is highlighted. Statistical evidence for insufficient pH management in Germany is given and causes for the suboptimal lime supply are discussed. After introducing the principle of lime requirement determination, the impact of erroneous soil information and their causes are outlined, as well as resulting yield losses. A solution to this problem is a more precise liming which regards site-specific requirements using sensor-based information. The necessity to provide sound knowledge on precision liming motivates this book. Precise liming comprises a workflow of various steps in an interconnected system. This workflow is briefly introduce and references are given to the detailed description in the successive chapters.
Von Bodeneigenschaftskarten zur Düngestreukarte
Authors: Bönecke Eric , Kling Charlotte , Schröter Ingmar , Vogel Sebastian , Meyer Swen , Philipp Golo , Scheibe Dirk , Lück Kathrin , Gebbers Robin , Rühlmann Jörg 
Published: September 2024

ZusammenfassungIn diesem Kapitel wird beschrieben, wie mithilfe von Bodenparameterkarten Bedarfsmengen an CaO-Äquivalenten berechnet und Kalkapplikationsempfehlungen abgeleitet werden. Als erstes wird der Basenbedarf anhand der Bodeneigenschaften pH, Textur und Humusgehalt als CaO-Menge berechnet. Die berechneten CaO-Mengen werden an die Arbeitsbreite des Düngerstreuers angepasst und eine entsprechende Karte erstellt. Nach Festlegung des Düngers erfolgt unter Berücksichtigung seines Neutralisationswertes die Umrechnung in Kalkmengen. Abschließend werden Anpassungen wie Kalkungsintervall und Höchstmengen berücksichtigt, um die Applikationskarte zu erstellen und ins Terminal des Düngerstreuers zu exportieren.
Nutzung sensorbasierter Texturkarten für das Management der Bodenacidität – Effekte auf Kalkbedarf, Ertrag und ökonomische Kennwerte
Authors: Rühlmann Jörg , Bönecke Eric , Philipp Golo 
Published: September 2024

ZusammenfassungIm zeitlichen Rahmen des pH-BB Projektes konnten keine generalisierbaren Schlussfolgerungen zum ökonomischen Effekt der Nutzung sensorbasierter Bodenkarten gezogen werden. Deshalb wurde unter Verwendung der Szenariotechnik untersucht, welchen Einfluss die exakte Lokalisierung von Bodentexturmustern auf die erzielten Erträge und den CaO-Bedarf besitzt und welcher monetäre Vorteil damit verbunden ist. Im Ergebnis konnte festgestellt werden, dass die Summe der in zwei Jahren durch die Nutzung sensorbasierter Bodenkarten zu erzielenden monetären Vorteile größer ist als die für die Kartengenerierung erforderlichen Kosten.
Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack
Authors: Manzanares-Salor Benet , Sánchez David , Lison Pierre 
Published: September 2024

AbstractThe availability of textual data depicting human-centered features and behaviors is crucial for many data mining and machine learning tasks. However, data containing personal information should be anonymized prior making them available for secondary use. A variety of text anonymization methods have been proposed in the last years, which are standardly evaluated by comparing their outputs with human-based anonymizations. The residual disclosure risk is estimated with the recall metric, which quantifies the proportion of manually annotated re-identifying terms successfully detected by the anonymization algorithm. Nevertheless, recall is not a risk metric, which leads to several drawbacks. First, it requires a unique ground truth, and this does not hold for text anonymization, where several masking choices could be equally valid to prevent re-identification. Second, it relies on human judgements, which are inherently subjective and prone to errors. Finally, the recall metric weights terms uniformly, thereby ignoring the fact that the influence on the disclosure risk of some missed terms may be much larger than of others. To overcome these drawbacks, in this paper we propose a novel method to evaluate the disclosure risk of anonymized texts by means of an automated re-identification attack. We formalize the attack as a multi-class classification task and leverage state-of-the-art neural language models to aggregate the data sources that attackers may use to build the classifier. We illustrate the effectiveness of our method by assessing the disclosure risk of several methods for text anonymization under different attack configurations. Empirical results show substantial privacy risks for most existing anonymization methods.
An Inverse Cluster Expansion for the Chemical Potential
Authors: Frommer Fabio 
Published: September 2024

AbstractInteracting particle systems in a finite-volume in equilibrium are often described by a grand-canonical ensemble induced by the corresponding Hamiltonian, i.e. a finite-volume Gibbs measure. However, in practice, directly measuring this Hamiltonian is not possible, as such, methods need to be developed to calculate the Hamiltonian potentials from measurable data. In this work, we give an expansion of the chemical potential in terms of the correlation functions of such a system in the thermodynamic limit. This is a justification of a formal approach of Nettleton and Green from the 50’s, that can be seen as an inverse cluster expansion.
Identification of potential NUDT5 inhibitors from marine bacterial natural compounds via molecular dynamics and free energy landscape analysis
Authors: Dubey Amit , Alanazi Amer M. , Bhardwaj Rima , Ragusa Andrea 
Published: September 2024

AbstractNUDIX hydrolase 5 (NUDT5) is an enzyme involved in the hydrolysis of nucleoside diphosphates linked to other moieties, such as ADP-ribose. This cofactor is vital in redox reactions and is essential for the activity of sirtuins and poly(ADP-ribose) polymerases, which are involved in DNA repair and genomic stability. It has been shown that NUDT5 activity can also influence NAD+ homeostasis, thereby affecting cancer cell metabolism and survival. In this regard, the discovery of NUDT5 inhibitors has emerged as a potential therapeutic approach in cancer treatment. In this study, we conducted a high-throughput virtual screening of marine bacterial compounds against the NUDT5 enzyme and four molecules were selected based on their docking scores. These compounds established strong interactions within the NUDT5 active site, with molecular analysis highlighting the key role of Trp28A and Trp46B residues. Molecular dynamics simulations over 200 ns indicated a stable behavior, in association with root mean square deviation values always below 3 Å, suggesting conformational stability. Free energy landscape analysis further supported their potential as NUDT5 inhibitors, offering avenues for novel therapeutic strategies against NUDT5-associated breast cancer.