bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors associated with secondary coronary artery disease in rheumatoid arthritis patients: A systematic review and meta‐analysis based on observational studies
Authors: Wang Zhe , Hu Kaiyan , Wu Mei , Feng Liyuan , Liu Chen , Ding Fengxing , Li Xiaohui , Ma Bin 
Published: December 2023

AbstractObjectiveThe main objective of this systematic review was to investigate the factors influencing the development of coronary artery disease (CAD) in patients with rheumatoid arthritis (RA).MethodsPubMed, Embase, Web of Science, Wan Fang Date, CBM, CNKI, and VIP databases were systematically searched to select the relevant literature. The quality of the incorporated studies was assessed with reference to the Newcastle‐Ottawa Scale. Stata16 was adopted to summarise the odds ratios, risk ratios, hazard ratios, and 95% confidence intervals for meta‐analysis.ResultsA total of 29 studies were included in this analysis, wherein the average age of RA patients was 50.5–81 years and the proportion of women was 44.4%–92%. The present meta‐analysis suggested that increased CAD risk in RA patients was associated with age, male gender, smoking, glucocorticoids, Health Assessment Questionnaire scores, hyperlipidaemia, hypertension, diabetes, and C‐reactive protein concentration.ConclusionThe present systematic review revealed the influencing factors of secondary CAD in RA patients, some of which could reduce the risk of secondary CAD through effective interventions, such as smoking cessation, exercise, and medications. However, the effects of age, RA severity, and different medication subgroups on CAD risk stratification warrant further investigation.
The effects of joint spacing on transmission characteristics of stress waves through layered composite rock masses
Authors: Fan Lifeng , Shi Xiaoying , Wang Meng , Yang Qihao , Chen Su 
Published: December 2023

AbstractThe effects of joint spacing on the transmission characteristics of stress waves through layered composite rock masses were investigated. First, a model of layered composite rock masses containing multiple parallel joints with different media in front of and behind the joints was introduced to study multiple reflections between joints. Second, wave transmission through layered composite rock masses was investigated and compared with wave transmission through traditional layered homogeneous rock masses. Finally, the effects of joint spacing and wave impedance ratio on particle velocity transmission coefficient were discussed. The results indicate that for wave propagation through rock masses with the same joint spacing, the onset time and amplitude of the transmitted wave in layered composite rock masses are smaller than those in layered homogeneous rock masses. For wave transmission through rock masses with the same nondimensional joint spacing, the onset time of the transmitted wave in the layered composite rock masses is similar to that in the layered homogeneous rock masses, while the amplitude of the transmitted wave in the layered composite rock masses is smaller than that in the layered homogeneous rock masses. In addition, the particle velocity transmission coefficient first increases and then decreases to be constant as the joint spacing increases, while it continues to increase as the wave impedance ratio increases for wave transmission through both layered composite rock masses and layered homogeneous rock masses.
Water's Ethical Time: The Art of Deindustrialising Human‐Water Relationships
Authors: Eickelkamp Ute 
Published: December 2023

AbstractI explore by way of a thought experiment the temporality of waterways in the context of restorative art interventions. As a substance that moves and gives form, and as a medium that retains and discharges, connects and divides, water that flows can make tangible the experiential flow of return and anticipation. Arguably, this bi‐directional structuring of time is pivotal to transformative and reparative action. If restoration means ‘going back’ to memories of ecologies and places, it does so with a generative thrust forward. This is the life‐enabling orientation of recuperation that I discern connects diverse phenomenological concepts: Deborah Bird Rose's ‘multispecies knots of ethical time’, the idea of ‘afterness’ as developed by Gerhard Richter, Gaston Bachelard's ‘rhythmic time’, and Gerald Vizenor's ‘survivance’. I bring these concepts to: (a) artistic water restoration projects that make imaginable, palpable, and real sustainable human‐water relationships, with a focus on the public works in Sydney by Turpin + Crawford Studio; (b) perspectives on water and time that Australian Indigenous thinkers have shared during my ethnographic research; and (c) the re‐naturalization of a river in Germany's postindustrial Ruhr region. I propose that thinking with water ethically and recognizing its temporal diversity opens up perspectives on the deindustrialisation of rivers and other bodies of water.
A compositional data model to predict the isotope distribution for average peptides using a compositional spline model
Authors: Agten Annelies , Vilenne Frédérique , Prostko Piotr , Valkenborg Dirk 
Published: December 2023

AbstractWe propose an updated approach for approximating the isotope distribution of average peptides given their monoisotopic mass. Our methodology involves in‐silico cleavage of the entire UNIPROT database of human‐reviewed proteins using Trypsin, generating a theoretical peptide dataset. The isotope distribution is computed using BRAIN. We apply a compositional data modelling strategy that utilizes an additive log‐ratio transformation for the isotope probabilities followed by a penalized spline regression. Furthermore, due to the impact of the number of sulphur atoms on the course of the isotope distribution, we develop separate models for peptides containing zero up to five sulphur atoms. Additionally, we propose three methods to estimate the number of sulphur atoms based on an observed isotope distribution. The performance of the spline models and the sulphur prediction approaches is evaluated using a mean squared error and a modified Pearson's χ2 goodness‐of‐fit measure on an experimental UPS2 data set. Our analysis reveals that the variability in spectral accuracy, that is, the variability between MS1 scans, contributes more to the errors than the approximation of the theoretical isotope distribution by our proposed average peptide model. Moreover, we find that the accuracy of predicting the number of sulphur atoms based on the observed isotope distribution is limited by measurement accuracy.
Watering down the wine: European Union regulation of violent right‐wing extremism content and the securitisation of new online spaces
Authors: Flonk Danielle , McNeil‐Willson Richard 
Published: December 2023

AbstractThe regulation of violent right‐wing extremist online content in the European Union is facing a conundrum. On the one hand, pressure to respond to concern over violent right‐wing extremism (or VRWE, a term used by the European Union to refer to ‘far right’) has led to a push to develop a coherent European‐wide response. On the one hand, this has led to a watering down or ‘loosening’ of the concept and implementation, to come to policy agreements between Member States. On the other hand, we have also seen a broadening and expansion of key concepts around VRWE to include more online practices. We argue that this combination of ‘loosening’ the definition of far right, whilst simultaneously ‘broadening’ what constitutes far‐right content, risks the securitisation of vast online practices ‐ muddying the means for developing coherent and effective responses to VRWE in online spheres. This paper aims to explore the framing and securitisation of violent right‐wing extremist content, by tracking the discursive construction of European content moderation policy tools over time.
Post‐traumatic growth in parents of long‐term childhood cancer survivors compared to the general population: A report from the Swiss childhood cancer survivor study—Parents
Authors: Baenziger Julia , Roser Katharina , Mader Luzius , Ilic Anica , Sansom‐Daly Ursula M. , von Bueren André O. , Tinner Eva Maria , Michel Gisela 
Published: December 2023

AbstractObjectivePost‐traumatic growth (PTG) describes perceived positive changes following a traumatic event. We describe (i) PTG in parents of long‐term childhood cancer survivors (CCS‐parents) compared to parents of similar‐aged children of the general population (comparison‐parents), (ii) normative data for the Swiss population, and (iii) psychological, socio‐economic, and event‐related characteristics associated with PTG.MethodsCCS‐parents (aged ≤16 years at diagnosis, ≥20 years old at study, registered in the Childhood Cancer Registry Switzerland (ChCR), and the Swiss population responded to a paper‐based survey, including the PTG‐Inventory (total score 0–105). We carried out (i) t‐tests, (ii) descriptive statistics, and (iii) multilevel regression models with survivor/household as the cluster variable.ResultsIn total, 746 CCS‐parents (41.7% fathers, response‐rate = 42.3%) of 494 survivors (median time since diagnosis 24 (7–40) years), 411 comparison‐parents (42.8% fathers, 312 households), and 1069 individuals of the Swiss population (40.7% male, response‐rate = 20.1%) participated. Mean [M] total PTG was in CCS‐parents M = 52.3 versus comparison‐parents M = 50.4, p = 0.078; and in the Swiss population M = 44.5). CCS‐parents showed higher ‘relating‐to‐others’ (18.4 vs. 17.3, p = 0.010), ‘spiritual‐change’ (3.3 vs. 3.0, p = 0.038) and ‘appreciation‐of‐life’ (9.3 vs. 8.4, p = 0.027) than comparison‐parents, but not in ‘new‐possibilities’ and ‘personal‐strength’. Female gender, older age, higher post‐traumatic stress, and higher resilience were positively associated with PTG. Individuals reporting events not typically classified as traumatic also reported growth.ConclusionsOur findings highlight that mothers and fathers can experience heightened growth many years after their child's illness. Being able to sensitively foreshadow the potential for new‐possibilities and personal development may help support parents in developing a sense of hope.
A dyadic examination of patients' and caregivers' attachment orientations and mutually supportive care in cancer caregiving
Authors: McPherson Christine J. , Devereaux Alanna 
Published: December 2023

AbstractObjectiveFamilies play a pivotal role in supporting one another during cancer. Research suggests that supportive care interactions between patients and their caregivers can have a positive effect on the physical health and well‐being of both members of the dyad. However, few studies have investigated how patient and caregiver personality characteristics intersect with their perceptions of supportive exchanges. Adopting an attachment theory perspective, our aim was to examine the dyadic effects of patient and caregiver attachment orientations on mutually supportive care.MethodsPatients (n = 103) receiving cancer care and their caregivers (n = 99) completed a survey that comprised measures of attachment orientations (Experiences in Close Relationships Modified scale), and mutually supportive care (Shared Care Inventory, SCI‐3): communication, decision‐making and reciprocity.ResultsActor‐Partner Interdependence Models (APIMs) were used to examine the association between participants' attachment orientations on their own (actor effects) SCI‐3 outcomes and those of the other person within the dyad (partner effects). Across the APIMs, the tendency was for an inverse relationship between attachment (anxious and avoidant orientations) and mutually supportive care. Inspection of the effects and dyadic patterns supported actor and couple models.ConclusionsUsing a dyadic approach, it was possible to study both intrapersonal and interpersonal effects. Our findings point to interdependence within the cancer caregiving relationship and underscore the importance of considering how individual and relational ways of responding influence support. Attachment theory provides a framework for explaining the observed relationships and a basis for therapeutic intervention.
An empirical semiparametric one‐sided confidence bound for lower quantiles of distributions with positive support
Authors: King Caleb , Parker Peter , Young Derek S. 
Published: December 2023

AbstractIn many industries, the reliability of a product is often determined by a quantile of a distribution of a product's characteristics meeting a specified requirement. A typical approach to address this is to assume a parametric model and compute a one‐sided confidence bound on the quantile. However, this can become difficult if the sample size is too small to reliably estimate such a parametric model. Linear interpolation between order statistics is a viable nonparametric alternative if the sample size is sufficiently large. In most cases, linear extrapolation from the extreme order statistics can be used, but can result in inconsistent coverage. In this work, we perform an empirical study to generate robust weights for linear extrapolation that greatly improves the accuracy of the coverage across a feasible range of distribution families with positive support. Our method is applied to two industrial datasets.
Finite‐time tracking control for time‐delayed pure‐feedback systems with guaranteed performance
Authors: Dai Yunfei , Wang Yujuan , Wang Chao 
Published: December 2023

AbstractThis article investigates the finite‐time tracking control problem with guaranteed performance for a class of nonlinear pure‐feedback systems subject to both time‐varying state delays and control input delays. Both the state delays and control input delays are assumed to be unknown yet bounded by some known constants. A new performance function is introduced that ensures the finite‐time convergence of tracking errors and guaranteed performance. The key to handling both the states and input delays lies in a novel construction of the Lyapunov–Krasovskii (LK) function, which also avoids the reconstruction of the LK function in stability analysis. In addition, a continuous package function is introduced, which allows the unknown nonlinear terms arising from the uncertain perturbation and the derivation of the LK function to be eliminated. Under the proposed method, the semi‐global uniform ultimate boundedness of all signals in the closed‐loop system can also be ensured. Simulation examples are provided to demonstrate the effectiveness of the proposed approach in this article.
Secondary Teachers' Adolescent Literacy Efficacy and Professional Learning Considerations
Authors: Savitz Rachelle S. , Morrison Jennifer D. , Brown Christy , Aldrich Charlene , Kane Britnie D. , O'Byrne W. Ian 
Published: December 2023

AbstractSchool requests for professional learning on adolescent literacy often stem from low or stagnant reading scores on state standardized assessments and legislative policies that require educators to complete literacy coursework. These decisions are often made without teachers' voices, requiring teachers to take coursework they may not need or learn in ways that may not align with their content. To address this issue, we used our researcher‐created and validated survey to ask middle and high school teachers about their self‐efficacy toward adolescent literacy based on various professional characteristics, such as years of experience, teaching grade levels, content area, and taking the state‐required literacy courses. Findings note that certain disciplines are more efficacious toward specific literacy practices, and taking state‐required literacy courses is insignificant. Our implications are written for literacy scholars and teacher educators to revisit the premise and promise of the 2017 ILA Standards for K‐12 literacy professionals, emphasizing the importance of being cognizant of our strengths and highlighting the need for collaborating and learning with and from teachers of all disciplines.
An ethical salience framework to achieve sustainable development goals
Authors: Gabriel Cle‐Anne , Shafique Kamran 
Published: December 2023

AbstractThe global sustainable development goals (SDGs) aspire to achieve fairer outcomes for all. A fundamental tenet of the sustainable development agenda is the pursuit and fulfilment of the needs of those most vulnerable and deprived. However, this has been difficult to achieve partly because it requires a mammoth effort to engage multiple stakeholders over complex timeframes and geographical scales. Thus, we propose a new framework – an Ethical Salience Framework – that we developed through amalgamation of the ethical need‐entitlement‐desert framework, and the managerial stakeholder salience framework. The new framework provides a better instrumental interpretation of stakeholder salience through incorporating ethical principles. The new framework also focuses on society's deontological obligations to deprived stakeholders. Instead of a single cluster of high‐salience stakeholders, we propose deontological and instrumental clusters. We propose stakeholders occupying both clusters are equally important for the successful achievement of the SDGs, but also institutional goals more broadly.
Multifunctional Liquid Metal‐Bridged Graphite Nanoplatelets/Aramid Nanofiber Film for Thermal Management
Authors: Xie Junwen , Zhou Gang , Sun Yuxuan , Zhang Fei , Kang Feiyu , Li Baohua , Zhao Yun , Zhang Yinhang , Feng Wei , Zheng Qingbin 
Published: December 2023

AbstractMiniaturization of modern micro‐electronic devices urges the development of multi‐functional thermal management materials. Traditional polymer composite‐based thermal management materials are promising candidates, but they suffer from single functionality, high cost, and low fire‐resistance. Herein, a multifunctional liquid metal (LM)‐bridged graphite nanoplatelets (GNPs)/ aramid nanofibers (ANFs) film is fabricated via a facile vacuum‐assisted self‐assembly approach followed by compression. ANFs serve as interfacial binders to link LM and GNPs together via hydrogen bondings and π–π interactions, while LM bridges the adjacent layer of GNPs to endow a fast thermal transport by phonons and electrons. The resultant composite films exhibit a high bidirectional thermal conductivity (In‐plane: 29.5 W m−1K−1 and through‐plane: 5.3 W m−1K−1), offering a reliable and effective cooling. Moreover, the as‐fabricated composite films exhibit superior flame‐retardance (peak of heat release rate of 4000J g−1), outstanding Joule heating performance (200 °C at supplied voltage of 3.5 V), and excellent electromagnetic interference shielding effectiveness (EMI SE of 62 dB). This work provides an efficient avenue to fabricate multifuntional thermal management materials for micro‐electronic devices, battery thermal management, and artificial intelligence.
GO‐CoNiP New Composite Material Modified Separator for Long Cycle Lithium–Sulfur Batteries
Authors: Li Jiaqi , Wu Xinxiang , Jian Caifeng , Qiao Xianyan , Wan Fang , Wu Zhenguo , Zhong Benhe , Chen Yanxiao , Guo Xiaodong 
Published: December 2023

AbstractLithium–sulfur batteries with high capacity are considered the most promising candidates for next‐generation energy storage systems. Mitigating the shuttle reaction and promoting catalytic conversion within the battery are major challenges in the development of high‐performance lithium‐sulfur batteries. To solve these problems, a novel composite material GO‐CoNiP is synthesized in this study. The material has excellent conductivity and abundant active sites to adsorb polysulfides and improve reaction kinetics within the battery. The initial capacity of the GO‐CoNiP separator battery at 1 C is 889.4 mAh g−1, and the single‐cycle decay is 0.063% after 1000 cycles. In the 4 C high‐rate test, the single‐cycle decay is only 0.068% after 400 cycles. The initial capacity is as high as 828.2 mAh g−1 under high sulfur loading (7.3 mg cm−2). In addition, high and low‐temperature performance tests are performed on the GO‐CoNiP separator battery. The first cycle discharge reaches 810.9 mAh g−1 at a low temperature of 0 °C, and the first cycle discharge reaches 1064.8 mAh g−1 at a high temperature of 60 °C, and both can run stably for 120 cycles. In addition, in situ Raman tests are conducted to explain the adsorption of polysulfides by GO‐CoNiP from a deeper level.
Free‐Standing Electrode and Fixed Surface Tiny Electrode Implemented Triboelectric Nanogenerator with High Instantaneous Current
Authors: Wang Haitao , Kurokawa Yasuyoshi , Wang Jia , Cai Wentao , Zhang Jia‐Han , Kato Shinya , Usami Noritaka 
Published: December 2023

AbstractConventional triboelectric nanogenerators (TENGs) face challenges pertaining to low output current density at low working frequencies and high internal impedance. While strategies, such as surface modification to enhance surface charge density, permittivity regulation of materials, and circuit management, have partially mitigated these issues. However, they have also resulted in increased complexity in the fabrication process. Therefore, there is an urgent demand for a universal and simplified approach to address these challenges. To fulfill this need, this work presents a free‐standing electrode and fixed surface tiny electrode implemented triboelectric nanogenerator (FFI‐TENG). It is fabricated by a straightforward yet effective method: introducing a tiny electrode onto the surface of the tribo‐negative material. This approach yields substantial enhancements in performance, notably a more than tenfold increase in output current density, a reduction in effective working frequencies, and a decrease in matching resistance as compared to vertical contact‐separation TENGs (CS‐TENGs) or single‐electrode TENGs (SE‐TENGs). Simultaneously, a comprehensive examination and proposition regarding the operational mechanism of FFI‐TENG, highlighting its extensive applicability are also offered. Significantly, FFI‐TENG excels in mechanical energy harvesting even under ultra‐low working frequencies (0.1 Hz), outperforming similar contact‐separation models. This innovation positions it as a practical and efficient solution for the development of low‐entropy energy harvesters.
Self‐Monitoring Theranostic Nanomaterials: Emerging Visual Agents for Real‐Time Monitoring of Tumor Treatment Processes
Authors: Su Tuo , Zhao Fan , Ying Yao , Li Wangchang , Li Juan , Zheng Jingwu , Qiao Liang , Che Shenglei , Yu Jing 
Published: December 2023

AbstractSelf‐monitoring in tumor therapy is a concept that allows for real‐time monitoring of the location and state of applied nanomaterials. This monitoring relies on dynamic signals, such as wave or magnetic signals, which vary in response to changes in the location and state of nanomaterials. Dynamic changes in nanomaterials can be monitored using dynamic signals, making it possible to determine and control the treatment process. Theranostic nanomaterials, which possess unique physical and chemical properties, have recently been explored as a viable option for self‐monitoring. With the help of self‐monitoring, theranostic nanomaterials can guide themselves to achieve region‐selective treatment with higher controllability and safety. In this review, self‐monitoring theranostic nanomaterials will be introduced in three parts according to their roles during therapy: tumor accumulation, tumor therapy, and metabolism. The limitations and future challenges of current self‐monitoring theranostic nanomaterials will also be discussed.