bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychometric Examination of the Freshman Stress Questionnaire Using a Sample of Social Work Students in Spain during the Covid-19 Pandemic
Authors: González Casas David , Barbé Ana Isabel Dorado , Mercado García Esther , Calleja Jimenez Jose Pablo , Gálvez-Nieto José Luis 
Published: April 2022

AbstractThe teaching–learning model implemented in Spanish universities as a result of the Covid-19 pandemic has generated a scenario of academic uncertainty amongst Spanish students. In the case of the Social Work degree, this apprehension appears to be linked to the heavy emotional load related to the theoretical–practical curricular contents of the degree. In this sense, the Freshman Stress Questionnaire (FSQ) has presented adequate levels of reliability and validity for its use on a population of Spanish university students; however, there is as yet no psychometric studies for its use on social work students. This study sought to analyse the psychometric properties of the FSQ using a sample of social work students. The sample comprised 732 students at three Spanish universities doing a social work degree (88.3 per cent women, 11.7 per cent men) with an average age of 21.51 years (standard deviation (SD) = 3.58). The results obtained from the exploratory factor analysis and confirmatory factor analysis revealed that the FSQ maintained the structure of four correlated factors and suitable reliability values for each dimension. The results of the factor invariance analysis indicate that the FSQ remains stable up to the level of metric invariance for the variable age. Results are discussed with available theory.
Do Social Media Impact Young Adult Mental Health and Well-Being? A Qualitative Study
Authors: Dodemaide Paul , Merolli Mark , Hill Nicole , Joubert Lynette 
Published: April 2022

Abstract
The Social Work profession recognises the ethical and educational implications of social media usage but remains cautious in embracing the technology in the context of clinical practice. Social media platforms allow their users to share thoughts, opinions, experiences, information, develop online communities and access social and emotional support. Social media-focused research in the mental health context has described the risk of vulnerable populations using social media. However, there is a dearth of research examining the lived experiences of young adult social media users or addressing both the perceived risks and benefits. Social Work clinicians need to understand the experience of clients and be able to respond to questions or challenges that service users using social media experience. Deploying inductive thematic content analysis, this study presents the qualitative findings of an online survey eliciting the experience of young adult social media users. Young adults reported varying perspectives, including preferences for anonymity, how social media is employed and consideration that specific platforms are either helpful or harmful. Results are discussed with consideration given to existing literature. This article contributes to the evidence-base for social work and other disciplines, allowing for a greater phenomenological understanding of young adults’ use of social media.
Relating neural oscillations to laminar fMRI connectivity in visual cortex
Authors: Scheeringa René , Bonnefond Mathilde , van Mourik Tim , Jensen Ole , Norris David G , Koopmans Peter J 
Published: April 2022

AbstractLaminar functional magnetic resonance imaging (fMRI) holds the potential to study connectivity at the laminar level in humans. Here we analyze simultaneously recorded electroencephalography (EEG) and high-resolution fMRI data to investigate how EEG power modulations, induced by a task with an attentional component, relate to changes in fMRI laminar connectivity between and within brain regions in visual cortex. Our results indicate that our task-induced decrease in beta power relates to an increase in deep-to-deep layer coupling between regions and to an increase in deep/middle-to-superficial layer connectivity within brain regions. The attention-related alpha power decrease predominantly relates to reduced connectivity between deep and superficial layers within brain regions, since, unlike beta power, alpha power was found to be positively correlated to connectivity. We observed no strong relation between laminar connectivity and gamma band oscillations. These results indicate that especially beta band, and to a lesser extent, alpha band oscillations relate to laminar-specific fMRI connectivity. The differential effects for alpha and beta bands indicate that they relate to different feedback-related neural processes that are differentially expressed in intra-region laminar fMRI-based connectivity.
Towards automated in vivo parcellation of the human cerebral cortex using supervised classification of magnetic resonance fingerprinting residuals
Authors: Moinian Shahrzad , Vegh Viktor , Reutens David 
Published: April 2022

AbstractBackgroundAccurate parcellation of the cerebral cortex in an individual is a guide to its underlying organization. The most promising in vivo quantitative magnetic resonance (MR)-based microstructural cortical mapping methods are yet to achieve a level of parcellation accuracy comparable to quantitative histology.MethodsWe scanned 6 participants using a 3D echo-planar imaging MR fingerprinting (EPI-MRF) sequence on a 7T Siemens scanner. After projecting MRF signals to the individual-specific inflated model of the cortical surface, normalized autocorrelations of MRF residuals of vertices of 8 microstructurally distinct areas (BA1, BA2, BA4a, BA6, BA44, BA45, BA17, and BA18) from 3 cortical regions were used as feature vector inputs into linear support vector machine (SVM), radial basis function SVM (RBF-SVM), random forest, and k-nearest neighbors supervised classification algorithms. The algorithms' prediction performance was compared using: (i) features from each vertex or (ii) features from neighboring vertices.ResultsThe neighborhood-based RBF-SVM classifier achieved the highest prediction score of 0.85 for classification of MRF residuals in the central region from a held-out participant.ConclusionsWe developed an automated method of cortical parcellation using a combination of MR fingerprinting residual analysis and machine learning classification. Our findings provide the basis for employing unsupervised learning algorithms for whole-cortex structural parcellation in individuals.
Investigating associations of delay discounting with brain structure, working memory, and episodic memory
Authors: Garzón Benjamín , Kurth-Nelson Zeb , Bäckman Lars , Nyberg Lars , Guitart-Masip Marc 
Published: April 2022

AbstractIntroductionDelay discounting (DD), the preference for smaller and sooner rewards over larger and later ones, is an important behavioural phenomenon for daily functioning of increasing interest within psychopathology. The neurobiological mechanisms behind DD are not well understood and the literature on structural correlates of DD shows inconsistencies.MethodsHere we leveraged a large openly available dataset (n = 1196) to investigate associations with memory performance and gray and white matter correlates of DD using linked independent component analysis.ResultsGreater DD was related to smaller anterior temporal gray matter volume. Associations of DD with total cortical volume, subcortical volumes, markers of white matter microscopic organization, working memory, and episodic memory scores were not significant after controlling for education and income.ConclusionEffects of size comparable to the one we identified would be unlikely to be replicated with sample sizes common in many previous studies in this domain, which may explain the incongruities in the literature. The paucity and small size of the effects detected in our data underscore the importance of using large samples together with methods that accommodate their statistical structure and appropriate control for confounders, as well as the need to devise paradigms with improved task parameter reliability in studies relating brain structure and cognitive abilities with DD.
The role of oxytocin in modulating self–other distinction in human brain: a pharmacological fMRI study
Authors: Wang Yuanchen , Wang Ruien , Wu Haiyan 
Published: April 2022

AbstractSelf–other distinction is crucial for human interaction. Although with conflicting results, studies have found that oxytocin (OT) sharpens the self–other perceptual boundary. However, little is known about the effect of OT on self–other perception, especially its neural basis. Moreover, it is unclear whether OT influences self–other discrimination when the other is a child or an adult. This double-blind, placebo-controlled study investigated the effect of OT on self-face perception at the behavioral and neural levels. For the stimuli, we morphed participants’ faces and child or adult strangers’ faces, resulting in 4 conditions. After treatment with either OT or placebo, participants reported whether a stimulus resembled themselves while being scanned using functional magnetic resonance imaging (fMRI). Behavioral results showed that people judged adult-morphed faces better than child-morphed faces. Moreover, fMRI results showed that the OT group exhibited increased activity in visual areas and the inferior frontal gyrus for self-faces. This difference was more pronounced in the adult-face condition. In multivariate fMRI and region of interest analyses, better performance in the OT group indicated that OT increased self–other distinction, especially for adult faces and in the left hemisphere. Our study shows a significant effect of OT on self-referential processes, proving the potential effect of OT on a left hemisphere self-network.
Reduced Cell Surface Levels of C-C Chemokine Receptor 5 and Immunosuppression in Long Coronavirus Disease 2019 Syndrome
Authors: Gaylis Norman B , Ritter Angela , Kelly Scott A , Pourhassan Nader Z , Tiwary Meenakshi , Sacha Jonah B , Hansen Scott G , Recknor Christopher , Yang Otto O 
Published: April 2022

Abstract
In an exploratory trial treating “long COVID” with the CCR5-binding antibody leronlimab, we observed significantly increased blood cell surface CCR5 in treated symptomatic responders but not in nonresponders or placebo-treated participants. These findings suggest an unexpected mechanism of abnormal immune downmodulation in some persons that is normalized by leronlimab.
Clinical Trials Registration. NCT04678830.
Surveillance and Correlation of Severe Acute Respiratory Syndrome Coronavirus 2 Viral RNA, Antigen, Virus Isolation, and Self-Reported Symptoms in a Longitudinal Study With Daily Sampling
Authors: Bonenfant Gaston , Deyoe Jessica E , Wong Terianne , Grijalva Carlos G , Cui Dan , Talbot H Keipp , Hassell Norman , Halasa Natasha , Chappell James , Thornburg Natalie J , Rolfes Melissa A , Wentworth David E , Zhou Bin 
Published: April 2022

Abstract
The novel coronavirus pandemic incited unprecedented demand for assays that detect viral nucleic acids, viral proteins, and corresponding antibodies. The 320 molecular diagnostics in receipt of US Food and Drug Administration emergency use authorization mainly focus on viral detection; however, no currently approved test can be used to infer infectiousness, that is, the presence of replicable virus. As the number of tests conducted increased, persistent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA positivity by reverse-transcription polymerase chain reaction (RT-PCR) in some individuals led to concerns over quarantine guidelines. To this end, we attempted to design an assay that reduces the frequency of positive test results from individuals who do not shed culturable virus. We describe multiplex quantitative RT-PCR assays that detect genomic RNA (gRNA) and subgenomic RNA (sgRNA) species of SARS-CoV-2, including spike, nucleocapsid, membrane, envelope, and ORF8. Viral RNA abundances calculated from these assays were compared with antigen presence, self-reported symptoms, and culture outcome (virus isolation) using samples from a 14-day longitudinal household transmission study. By characterizing the clinical and molecular dynamics of infection, we show that sgRNA detection has higher predictive value for culture outcome compared to detection of gRNA alone. Our findings suggest that sgRNA presence correlates with active infection and may help identify individuals shedding culturable virus.
A Systematic Framework for Prioritizing Burden of Disease Data Required for Vaccine Development and Implementation: The Case for Group A Streptococcal Diseases
Authors: Moore Hannah C , Cannon Jeffrey W , Kaslow David C , Lamagni Theresa , Bowen Asha C , Miller Kate M , Cherian Thomas , Carapetis Jonathan , Van Beneden Chris 
Published: April 2022

Abstract
Vaccine development and implementation decisions need to be guided by accurate and robust burden of disease data. We developed an innovative systematic framework outlining the properties of such data that are needed to advance vaccine development and evaluation, and prioritize research and surveillance activities. We focus on 4 objectives—advocacy, regulatory oversight and licensure, policy and post-licensure evaluation, and post-licensure financing—and identify key stakeholders and specific requirements for burden of disease data aligned with each objective. We apply this framework to group A Streptococcus, a pathogen with an underrecognized global burden, and give specific examples pertinent to 8 clinical endpoints. This dynamic framework can be adapted for any disease with a vaccine in development and can be updated as vaccine candidates progress through clinical trials. This framework will also help with research and innovation priority setting of the Immunization Agenda 2030 (IA2030) and accelerate development of future vaccines.
β-Lactam–Resistant Streptococcus pneumoniae Dynamics Following Treatment: A Dose-Response Meta-analysis
Authors: Griskaitis Matas , Furuya-Kanamori Luis , Allel Kasim , Stabler Richard , Harris Patrick , Paterson David L , Yakob Laith 
Published: April 2022

Abstract

Background
Patient exposure to antibiotics promotes the emergence of drug-resistant pathogens. The aim of this study was to identify whether the temporal dynamics of resistance emergence at the individual-patient level were predictable for specific pathogen-drug classes.

Methods
Following a systematic review, a novel robust error meta-regression method for dose-response meta-analysis was used to estimate the odds ratio (OR) for carrying resistant bacteria during and following treatment compared to baseline. Probability density functions fitted to the resulting dose-response curves were then used to optimize the period during and/or after treatment when resistant pathogens were most likely to be identified.

Results
Studies of Streptococcus pneumoniae treatment with β-lactam antibiotics demonstrated a peak in resistance prevalence among patients 4 days after completing treatment with a 3.32-fold increase in odds (95% confidence interval [CI], 1.71–6.46). Resistance waned more gradually than it emerged, returning to preexposure levels 1 month after treatment (OR, 0.98 [95% CI, .55–1.75]). Patient isolation during the peak dose-response period would be expected to reduce the risk that a transmitted pathogen is resistant equivalently to a 50% longer isolation window timed from the first day of treatment.

Conclusions
Predictable temporal dynamics of resistance levels have implications both for surveillance and control.
Describing the Impact of Maternal Hyperimmune Globulin and Valacyclovir on the Outcomes of Cytomegalovirus Infection in Pregnancy: A Systematic Review
Authors: Fitzpatrick Alyssa , Cooper Celia , Vasilunas Nan , Ritchie Brett 
Published: April 2022

Abstract
Cytomegalovirus (CMV) is the leading infectious cause of congenital neurological disabilities. Valacyclovir and CMV hyperimmune globulin (HIG) may reduce vertical transmission and sequelae in neonates. A systematic review on valacyclovir and CMV HIG in preventing vertical transmission or reducing sequelae in neonates was conducted to 3 September 2021. Valacyclovir as a preventive strategy was supported by a well-conducted randomized controlled trial. Evidence supporting valacyclovir as a treatment strategy was limited to observational studies at moderate risk of bias. CMV HIG was not supported as a preventive strategy in 2 randomized controlled trials, which contrasted with observational studies. Evidence favoring CMV HIG as a treatment strategy was limited to observational studies at moderate risk of bias. The role of valacyclovir and CMV HIG in CMV infection in pregnancy is still being defined. Valacyclovir to prevent vertical transmission has the highest quality evidence in favor of use.
Beyond the Import Ban: Will China Tackle Its Waste Crisis?
Authors: Zhao Yuhong 
Published: April 2022

Abstract
The exponential growth of solid wastes in China has besieged its cities and villages, causing contamination of the land, water, and air and threatening public health and environmental safety. Efforts to expand safe disposal capacity by landfill and incineration have failed to catch up with the speed of waste increase. To tackle the looming waste crisis, China is shifting the focus of waste management from final disposal to waste prevention and reduction and waste to resource transformation by reuse, recycling, and recovery. This article analyses China’s waste management 2.0 under the revised Law on the Prevention and Control of Pollution by Solid Wastes and examines key regulatory initiatives including the waste import ban, the plastic ban, the extended producer responsibility scheme, and the compulsory waste-sorting program, which target the sources of waste generation. It further discusses the challenges ahead and criticizes the gaps in implementation of the municipal solid waste levy reform, green consumption, and the management of construction waste and rural waste.
Marx’s fictitious capital: a misrepresented category revisited
Authors: Palludeto Alex Wilhans Antonio , Rossi Pedro 
Published: April 2022

AbstractIn this paper, we provide an interpretation of Marx’s category of fictitious capital by analysing its main attributes and pointing out its role in understanding the capitalist dynamics from a value-form approach. We criticise the widespread notion that fictitious capital is a category related to the degree of detachment between its capital value and the value of the real capital that it might eventually represent. We argue that fictitious capital should be defined by three key attributes: the future flow of income, the secondary market and its ‘real nonexistence’. Fictitious capital is therefore presented as the genetic development of interest-bearing capital, a process in which any expected money income is converted into a capital value in the present and transformed into a commodity. In this perspective, the importance of fictitious capital for the understanding of contemporary capitalism is analysed, particularly with respect to the process of the distribution of social labour.
Bringing subordinated financialisation down to earth: the political ecology of finance-dominated capitalism
Authors: Althouse Jeffrey , Svartzman Romain 
Published: April 2022

Abstract
This paper explores how subordinated financialisation occurs through uneven environmental transformations on a global scale, thereby revealing a political ecology of finance-dominated capitalism. Rather than depicting financialisation as a detachment of profits and power from the ‘real’ economy, this paper argues that financial accumulation arises from co-dependent and hierarchical monetary, productive and environmental relations. In particular, we outline how Peripheral subordination is connected to the reorganisation of global value production (‘offshoring’) and the intensification and expansion of capital to new frontiers of resource extraction (‘commodity frontiers’). These patterns form a ‘financialisation-offshoring-commodity frontier’ nexus, a self-reinforcing institutional arrangement that guarantees new possibilities for capital accumulation within the Core of the world-system, while accentuating the Periphery’s vulnerability to financial instability, uneven development and ecological degradation. This suggests that addressing Core–Periphery structural imbalances and systemic ecological risks requires a major overhaul of the international monetary and financial system, in a way that may nevertheless limit capital accumulation and GDP growth in Core economies.
Fidelity Homogenous Genesis Recommendation Model for User Trust with Item Ratings
Authors: Albert I Edwin , Deepa A J , Fred A Lenin 
Published: April 2022

Abstract
The ever-increasing volume of cloud services has created a service targeting issue. The mechanisms of recommenders address the issue by allowing consumers to easily access services that match their preferences. A recommendation is a regularly utilized function in recommender systems to assist users in swiftly narrowing their choices and making sensible judgments from a large amount of knowledge. In this document, design a “Fidelity Homogenous Genesis Recommendation Model” for user trust along with item ratings. The key for addressing data sparsity is how accurately the likely values of unoccupied cells are estimated. For sparsity reduction of the user-item matrix, we employ a similar prior case rationale technique mixed with average filling. This phase will aid in the later computation of user and item similarity. Genesis: the autonomous map technique was used to clustering the user-item matrix for similar users, followed by an optimization process to generate sub-optimal clusters with a more balanced number of users in each. Based on actual grid computing, the User-Item Privacy Marmalade Technique considers all trustworthy neighbors to be available after optimization. Based on the filtered item set, the trust weighting approach is intended to compute trust similarity among users. To locate trustworthy users, the filtered item set traverses all users in trust networks. In particular, a user trust neighbor set that has comparable preferences and matches with a target user and can be derived through user trust dispersion features in a trusted network. As a result, the proposed algorithm was able to give a novel recommendation model that was guided by user trust as well as item ratings.
The Local Diagnosability of a Class of Cayley Graphs with Conditional Faulty Edges Under the PMC Model
Authors: Ren Yunxia , Wang Shiying 
Published: April 2022

Abstract
The diagnosability of a multiprocessor system is of great significance in measuring the reliability and faulty tolerance of interconnection networks. In this paper, we firstly study the diagnosability of a class of Cayley graphs $Cay(H_n,S_n)$ under the PMC model. We prove that $Cay(H_n,S_n)-F$ keeps the strong local diagnosability property even if it has the set $F$ of $(m-2)$ faulty edges and $m-2$ is maximum number of faulty edges, where $m$ is the regular degree of $Cay(H_n,S_n)$. Secondly, we study the diagnosability of $Cay(H_n,S_n)$ with conditional faulty edges under the PMC model. We prove that $Cay(H_n,S_n)-F$ keeps strong local diagnosability property even if it has the set $F$ of $(3m-10)$ faulty edges, provided that each vertex of $Cay(H_n,S_n)-F$ is incident with at least two fault-free edges, where $3m-10$ is maximum number of faulty edges. Finally, we prove that $Cay(H_n,S_n)-F$ keeps strong local diagnosability property no matter how many edges are faulty, provided that each vertex of $Cay(H_n,S_n)-F$ is incident with at least four fault-free edges.