bluuebunny/crossref_metadata_2025_split huggingface dataset:
A pragmatic randomized controlled trial of a telemedicine self-management intervention for adults with long COVID: The COPE study protocol
Authors: Knowles Lindsey Major , Grewal Mehr , Drever Sydney , Hoffman Jeanne , Friedly Janna , Herring Tracy 
Published: February 2024

Abstract
Background: Long COVID is a serious public health concern due to its high prevalence and potentially debilitating symptoms. Symptoms may include fatigue, dyspnea, cognitive problems, insomnia, anxiety and depression. There is currently no cure for long COVID and the average length of recovery and proportion of patients who fully recover are still unknown. Subsequently, there is a critical need to improve function. Research in other chronic conditions suggests that psychosocial self-management interventions reduce symptom severity and interference with functioning. We describe the design of our study to examine the feasibility, acceptability, appropriateness and preliminary efficacy of an intervention designed to improve symptom management and coping in adults with long COVID.
Methods: This pilot trial (N=50) uses a pragmatic, randomized 2-group parallel design set within the MASKED Post-COVID Rehabilitation and Recovery Clinic. The self-management intervention is a 6-week, group-based telemedicine intervention that teaches evidence-based strategies to manage common symptoms and improve stress management as well as communication and self-advocacy. The comparator is a wait-list control. Participants complete self-report measures of the primary and secondary outcomes at baseline and post-treatment/wait-list. Primary outcomes include intervention feasibility, acceptability, and appropriateness. Secondary outcomes include Patient-Reported Outcomes Measurement Information System measures of fatigue, sleep disturbance, cognitive difficulties, self-efficacy, pain interference, depression and anxiety symptoms as well as a measure of long COVID symptoms and impression of change. At post-intervention, intervention participants also complete a qualitative interview to inform intervention refinement. Quantitative data will be examined using descriptive and statistical analysis including ttests and chi-square tests to compare the intervention and wait-list groups on secondary outcomes. Qualitative data will be analyzed using the rigorous and accelerated data reduction technique.
Discussion: Results of this pilot randomized controlled trial will characterize the feasibility, acceptability, and appropriateness of the self-management intervention and inform intervention refinement necessary prior to further testing. Long COVID is a public health concern and rehabilitation approaches that equip patients to manage symptoms may improve patient function and quality of life and reduce burden on the health system.
Clinical Trial Registration No.: NCT05658536.
Date of Trial Registration: December 16, 2022
The Primary Cilium and its Hedgehog Signaling in Nociceptors
Contribute to Inflammatory and Neuropathic Pain
Authors: Tucker Kerry , Fitzsimons Lindsey , Staurengo-Ferrari Larissa , Bogen Oliver , Araldi Dioneia , Bonet Ivan , Jordan Ethan , Levine Jon 
Published: February 2024

Abstract
The primary cilium, a 1-3 μm long hair-like structure protruding from the surface of almost all cells in the vertebrate body, is critical for neuronal development and also functions in the adult. As the migratory neural crest settles into dorsal root ganglia (DRG) sensory neurons elaborate a single primary cilium at their soma that is maintained into adult stages. While it is not known if primary cilia are expressed in nociceptors, or their potential function in the mature DRG neuron, recent studies have shown a role for Hedgehog, whose signaling demonstrates a dependence on primary cilia, in nociceptor sensitization. Here we report the expression of primary cilia in rat and mouse nociceptors, where they modulate mechanical nociceptive threshold, and contribute to inflammatory and neuropathic pain. When siRNA targeting Ift88, a primary cilium-specific intra-flagellar transport (IFT) protein required for ciliary integrity, was administered by intrathecal injection, in the rat, it resulted in loss of Ift88 mRNA in DRG, and primary cilia in neuronal cell bodies, which was associated with an increase in mechanical nociceptive threshold, and abrogation of hyperalgesia induced by the pronociceptive inflammatory mediator, prostaglandin E2, and painful peripheral neuropathy induced by a neurotoxic chemotherapy drug, paclitaxel. To provide further support for the role of the primary cilium in nociceptor function we also administered siRNA for another IFT protein, Ift52. Ift52 siRNA results in loss of Ift52 in DRG and abrogates paclitaxel-induced painful peripheral neuropathy. Attenuation of Hedgehog-induced hyperalgesia by Ift88 knockdown supports a role for the primary cilium in the hyperalgesia induced by Hedgehog, and attenuation of paclitaxel chemotherapy-induced neuropathy (CIPN) by cyclopamine, which attenuates Hedgehog signaling, suggests a role of Hedgehog in CIPN. Our findings support a role of nociceptor primary cilia in the control of mechanical nociceptive threshold and in inflammatory and neuropathic pain, the latter, at least in part, Hedgehog dependent.
Evaluation and Comparison of the Seismic Performance of Modern Concentrically Braces in the Near-Fault Zone
Authors: Mahdavi Masoud , Hosseini SeyyedReza , Babaafjaei Abbas 
Published: February 2024

Abstract
Passive control is one of the most common methods to improve seismic performance of the structure. Types of concentrically braces, such as Cross, Knee, and Reverse V, are the most common systems used in steel structures. Choosing the right bracing system for the structure and increasing its efficiency will increase the performance level of the structure. The importance of the bracing system in the near-fault area is very important, considering the magnitude of the earthquake. Therefore, in the current research, 5-story steel structures with X, Knee, Inverted V and Rhombus bracing systems has been modelled with Sap2000 software. The steel structures were subjected to the Kobe earthquake for 10 seconds, in the near-fault area, with the modal time history dynamic analysis method. Nine seismic parameters including Story Displacement, Acceleration, Modal Damping Energy, Base Shear, Shear Force in Beam, Bending Moment in Beam, Shear Force in Column and Axial Force in Column were investigated. The results showed that the X bracing system has the best performance in all parameters, except for axial and shear force in the column. Also, the KBF brace has the weakest performance in all parameters. The average value of the nine parameters in the superior bracing system and the weaker bracing system (KBF) is equal to 98.56%.
The Effect of Repolishing on Surface Roughness of Hybrid Ceramics after Immersion in Mouth Rinse
Authors: Younes Abeer Atef , Dessouky Radwa El 
Published: February 2024

Abstract
Background:
The aim of the study was evaluating the effect of repolishing on surface roughness of hybrid ceramic materials after immersion in Listerine mouth rinse.
Methods:
Ninety rectangular specimens were cut of CAD\CAM blocks of vita Enamic ,Shofu and Nacera Hybrid using specially cutting saw (Isomet 4000), each specimen was 1mm thickness,14mm length and 14mm width which confirmed with digital caliper for standardization. The specimens divided into (n = 30) for each material then surface roughness measured three times for each one. the first time was the base line measurements, the second time was after immersion in mouth rinse and the third time was after repolishing. Surface roughness measurements were done using non-contact profilometer. Specimens were photographed using USB Digital microscope with a built-in camera connected with compatible personal computer. Quantitative data were expressed as mean and standard deviation using one way analysis of variance followed by Tukey’s post hoc test.
Results:
The results of the current study showed a significant difference in the Surface roughness measurements values of the three hybrid materials in comparison to its base line values. After immersion in mouth rinse, the highest value was (0.314 ± 0.020) in Shofu HC, while after repolishing the highest value was (0.293 ± 0.016) in Nacera Hybrid.
Conclusions:
Listerine mouth rinse had the ability to increase the surface roughness of hybrid ceramic materials while re-polishing decreased the surface roughness of hybrid ceramic materials with the least effect on the high resin content materials.
An Ideal Surface Reveals How Active It Is and Why It Degrades: Atomically Flat SrTi0.5Fe0.5O3-δ Model Thin Film – a Case Study
Authors: Jung WooChul , Kim Hyunseung , Liu Jiapeng , Jang Kyuseon , Koo Bonjae , Kim Jun Kyu , Seo Jongsu , Jung Chanwon , Choi Pyuck-Pa , Ciucci Francesco 
Published: February 2024

Abstract
Surface cation segregation, specifically strontium (Sr), has been identified as a primary factor contributing to the performance degradation of perovskite-based oxide electrodes used in various energy conversion devices. However, due to the complex chemistry and structure of the perovskite oxide surfaces, the mechanisms behind Sr segregation and its impact on electrode activity are only partially understood. Moreover, Sr segregation already occurs during perovskite synthesis, further complicating the situation. To address this issue, this study implements a controlled approach using a model thin film system composed of atomically flat SrTi0.5Fe0.5O3-δ (STF50) with a stoichiometric surface, enabling detailed examination. The evolution of surface structure, composition, and oxygen exchange kinetics are observed as a function of temperature and time. By integrating experiments and ab initio simulations, we tackle several fundamental questions, including the evaluation of reactivity for pristine perovskite oxide surface before Sr segregation and the correlation between Sr segregation at the surface with oxygen exchange kinetics. Our comprehensive analysis clearly reveals that the decline in performance of the perovskite oxide electrodes is primarily attributed to the detrimental effects of Sr-deficiency on the surface, thereby resolving longstanding debates in the field.
WITHDRAWN: A Novel Approach for Intrusion Detection System based on Adaptable Variable Homomorphic Mac for Network Coding Enabled Small Cells
Authors: Nabi Faisal 
Published: February 2024

Abstract
Mobile small cells enabled by Network Coding (NC) are seen as a viable solution for 5G networks that can span the urban environment by being put up on demand anywhere and at any time across any device. Despite the advantages that NC-enabled mobile small cells provide to the 5G of mobile networks, there are some security threats (due to their vulnerabilities) owing to pollution attacks, in which intermediate nodes are used to tamper with packets in transit. Due to these polluted packets Erroneous decoding will occur at the receivers end. Detecting the polluted packets in NC enabled mobile small cell is a challenging task. The proposed An Adaptable Variable Homomorphic MAC based Intrusion Detection System (AV-H-MAC-IDS) effectively detects the polluted packets in the NC-enabled small cell environment. This model consists of different stages like region –based node clustering, node registration, homomorphic key-pair generation, and pollution attack detection. This method analyses the data of each node in the network to check whether data is altered or not. Due to region based clusters, it can effectively identify the attacker and their neighbours. Next to detection, it labels the nodes such that the malicious nodes can be isolated in subsequent data transmissions. This approach not only detects polluted packets, but also identifies the attacker's location, so that future packet pollution can be avoided up to some extent. It has been demonstrated that the proposed model outperforms both the state-of-the-art models and the more conventional models in terms of detection accuracy and time complexity.
Multi-objective optimal configuration of CCHP system containing hybrid electric-hydrogen energy storage system
Authors: Ye Jian , Dong Qiang , Yang Gelin , Yang Qiu , Zhu Peng , Wang Yingjie , Sun Liang , Wang Fuwang 
Published: February 2024

Abstract
Hydrogen energy storage technology, characterized by zero pollution, high efficiency and abundant sources, is an important means for the efficient utilization of solar energy. In the context of reducing energy consumption and the vigorous development of hydrogen energy storage technology, a multi-objective optimization configuration model with economy, energy consumption index and carbon emission index is proposed, which takes into account the working characteristics of the hydrogen energy storage system, and the exothermic heat release from the electrolysis tanks and fuel cells when they are working to provide the loads with an additional heat source of the CCHP system, to reduce energy consumption and carbon emission. Finally, taking a park as an example, a decomposition-based multi-objective optimization algorithm is used to solve the model so as to obtain a series of feasible alternatives, and at the same time a two-way projection method based on interval intuitionistic fuzzy information is used for decision-making to obtain the optimal solution, which verifies the feasibility of the system proposed in this paper.
Jumping to Attributions during Social Evaluation
Authors: Lau Isabel H.W. , Norman Jessica , Stothard Melanie , Carlisi Christina O. , Moutoussis Michael 
Published: February 2024

Abstract
Social learning is crucial for human relationships and well-being. Self-and other-evaluations are universal experiences, playing key roles in many psychiatric disorders, particularly anxiety and depression. We aimed to deepen understanding of the computational mechanisms behind social learning, which have been implicated in internalizing conditions like anxiety and depression. We built on prior work based on the Social Evaluation Learning Task (SELT) and introduced a new computational model to better explain rapid initial inferences and progressive refinement during serial social evaluations. The Social Evaluation Learning Task-Revised (SELT-R) was improved by stakeholder input, making it more engaging and suitable for adolescents. A sample of 130 adults from the UK completed the SELT-R and questionnaires assessing symptoms of depression and anxiety. ‘Classify-refine' computational models were compared with previously successful Bayesian models. The 'classify-refine' models performed better, providing insight into how people infer attributes and motives of others. Task parameters from the SELT-R were correlated with Anxiety factor scores, with higher symptoms associated with greater decision noise and higher (less flexible) policy precision. Our results replicate findings regarding the classify-refine process and set the stage for future investigations into the cognitive mechanisms of self and other evaluations in internalizing disorders.
Nursing Students, Nursing Lecturers and Practice Staff’s Understanding on an ePortfolio and the impact on students’ self-efficacy: protocol of a mixed method study. An exploratory study using a sequential explanatory mixed method design methodology to explore nursing students’ nurse lecturers, and practice staff’s understanding of an ePortfolio and explore how student’s self-efficacy could be impacted by this technology.
Authors: DEVLIN NUALA , Slade Associate Professor Christine , McCutcheon Professor Karen , Brown-Wilson Professor Christine 
Published: February 2024

Abstract
Background
The global pandemic required universities to identify suitable online platforms to enable the continuation of academic studies. While this change facilitated most theoretical learning, the capture of clinical practice evidence proved problematic. ePortfolio pedagogy is a responsive approach to facilitate and foster clinically based learning by integrating technology, reflection and assessment thereby supporting students’ development and preparing them for success in a rapidly evolving digital landscape. Used beyond the classroom setting, it enhances students’ digital literacy, promoting lifelong learning and professional development through a platform which facilitates communication, discussion, and collaboration.
Methods
The proposed study is an exploration of Nursing Students, Nursing Lecturers and Practice Staff’s understanding on an ePortfolio and the impact on students’ self-efficacy across one nation in the United Kingdom. The protocol describes a mixed methods sequential explanatory design methodology to explore nursing students’ nurse lecturers, and practice staff’s understanding of an ePortfolio and explore how student’s self-efficacy could be impacted by this technology. A questionnaire designed at the university using two validated instruments will be used to guide the evaluation. This will be distributed to students at two different time points and to staff only once. Quantitative data will focus on how selected internal and external variables relating to ePortfolio use serve as predicators to student understanding and achievement. Using the platform Qualtrics once collected the survey results will be downloaded into SPSS (Statistical Package for the Social Sciences) version 28 and subjected to relevant statistical analysis. Qualitative data will be collected through focus groups. Triangulation of data will be used to answer the key research questions on ePortfolio technology as a pedagogy.
Discussion
The protocol describes the study which will be implemented across one nation in the United Kingdom. It will evaluate how students and teachers engage with the ePortfolio and how it impacts on the delivery of the curriculum and student performance. It aims to evaluate the impact of ePortfolio technology which is poorly reported in the literature.
Registered systematic review
Does an ePortfolio used as a digital pedagogy enhance pre-registration nursing students learning of professional practice and inquiry?
https://doi.org/10.17605/OSF.IO/8CV9G (registered with Open Science Framework).
Research on Safety Condition Assessment Methodology for Single Tower Steel Box Girder Suspension Bridges Over The Sea Based on Improved AHP-Fuzzy Comprehensive Evaluation
Authors: Su Huifeng , Guo Cheng , Wang Ziyi , Han Tao , Kamanda David Bonfils , Su Fengzhao , Shang Liuhong 
Published: February 2024

Abstract
In order to propose a reliable method for assessing the safety condition for single-tower steel box girder Suspension bridges over the sea, a condition monitoring system is established by installing sensors on the bridge structure. This system collects monitoring data on cable forces, bridge strains, displacements and other parameters that affect the safety condition of the bridge. Furthermore, an improved Analytic Hierarchy Process (AHP) algorithm is developed by integrating a hybrid triangular fuzzy number logic structure. This improvement, coupled with comprehensive fuzzy evaluation methods, improves the consistency, weight determination, and security evaluation capabilities of the AHP algorithm. In addition, a case study will be conducted on the 2nd Channel Bridge to build the health monitoring system and evaluate the safety status of the bridge. The implemented health monitoring system and assessment of the overall safety condition of the bridge have shown positive results in practical engineering applications and provided a basis for decision-making in bridge maintenance departments. This project confirms that the research results can provide a reliable method for assessing the security status for relevant areas.
Graphsene: a new porous two-dimensional carbon-based material with anisotropic behavior in electronic and mechanical properties and highly efficient ORR electrocatalytic activity
Authors: Hosseini Mohammadreza , Soleimani Maryam , Shojaei Fazel , Pourfath Mahdi 
Published: February 2024

Abstract
Graphene allotropes featuring diverse carbon arrangements have substantial attention due to their unique properties and desired chemical activity. This study introduces a novel two-dimensional carbon-based material, termed Graphsene (GrS), on a theoretical basis. GrS is composed of tetra-, penta-, and dodeca-carbon rings. Formation energy calculations reveal that GrS exhibits superior structural stability compared to synthesized graphene allotropes, including the graphyne and graphdiyne families. Phonon dispersions suggest that the proposed nanosheet is dynamically stable and this material has a relatively small thermal conductivity. All calculated GrS elastic constants satisfy Born criteria, ensuring the mechanical stability of this carbonaceous monolayer. Ab-initio molecular dynamic simulations confirm that GrS retains its original structure at 300K. HSE06 calculations predict a narrow electronic bandgap of 20 meV. A highly anisotropic Dirac-like cone was found in the electronic band structure of GrS which is attributed to the intrinsic structural anisotropy of the nanosheet along armchair and zigzag. Notably, it is predicted that the studied nanosheet exhibits superior catalytic performance for the oxygen reduction reaction (ORR), showcasing a pronounced preference for the four-electron reduction pathway selectivity under both acidic and alkaline conditions. This work presents a promising avenue for the development of metal-free catalyst materials for clean energy production.
BP artificial neural network model to predict the compressive and flexural properties of UHPC containing coarse aggregates: Development and parametric analysis
Authors: Li Ling , Dong Xuan , Cheng Donghui 
Published: February 2024

Abstract

Ultra-high performance concrete with coarse aggregates (UHPC-CA) has the advantages of high strength, strong shrinkage resistance and lower production cost, presenting a broad application prospect in the civil engineering construction. In view of the difficulty in establishing a mathematical model to accurately predict the mechanical properties of UHPC-CA, the back-propagation artificial neural network (BP-ANN) method is used to fully consider the various influential factors of the compressive strength (CS) and flexural strength (FS) of UHPC-CA in this paper. By taking the content of cement (C), silica fume (SF), slag, fly ash (FA), coarse aggregate (CA), steel fiber, water-binder ratio (w/b), sand rate (SR), cement type (CT), and curing method (CM) as input variables and the CS and FS as output objective, the BP-ANN model with three layers has been well-trained, validated and tested with 193 experimental data in the published literatures. The prediction accuracy of BP-ANN model has been evaluated by the evaluating indicators. A parametric study for the various influential factors on the CS and FS of UHPC-CA was conducted by the BP-ANN model and the corresponding influential mechanisms were analyzed. Finally, the inclusion levels for the CA, steel fiber, and the dimensionless parameters of w/b and sand rate were recommended to obtain the optimal strength of UHPC-CA.
5 days in dry immersion disturb iron metabolism in males and females: results from the ESA VIVALDI and VIVALDI2 studies
Authors: Derbré Frédéric , Horeau Mathieu , Navasiolava Nastassia , Ombergen Angelique Van , Custaud Marc-Antoine , Robin Adrien , Ropert Martine , Antunes Ines , Bareille Marie-Pierre , de Villemeur Rebecca Billette , Gauquelin-Koch Guillemette , Loréal Olivier 
Published: February 2024

Abstract

Iron is essential for cell respiration, muscle metabolism and oxygen transport. Recent researches have demonstrated that simulated microgravity rapidly affects iron metabolism in males. However, its impact in females remains unclear. This study aims to compare iron metabolism alteration in both sexes exposed to 5 days of dry immersion. Our findings demonstrate that females, similarly to males, experience increased iron availability and elevated serum hepcidin levels, indicative of iron misdistribution.